init
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- experiments/baseline_lm_lc_fewshot.py +2 -2
- experiments/baseline_lm_qa_fewshot.py +4 -4
- experiments/results/lm_lc_1shots_0seed/davinci/ppl.competitor__rival_of.jsonl +89 -0
- experiments/results/lm_lc_1shots_0seed/davinci/ppl.friend__ally_of.jsonl +92 -0
- experiments/results/lm_lc_1shots_0seed/davinci/ppl.influenced_by.jsonl +93 -0
- experiments/results/lm_lc_1shots_0seed/davinci/ppl.known_for.jsonl +108 -0
- experiments/results/lm_lc_1shots_0seed/davinci/ppl.similar_to.jsonl +93 -0
- experiments/results/lm_lc_1shots_1seed/davinci/ppl.competitor__rival_of.jsonl +89 -0
- experiments/results/lm_lc_1shots_1seed/davinci/ppl.friend__ally_of.jsonl +92 -0
- experiments/results/lm_lc_1shots_1seed/davinci/ppl.influenced_by.jsonl +93 -0
- experiments/results/lm_lc_1shots_1seed/davinci/ppl.known_for.jsonl +108 -0
- experiments/results/lm_lc_1shots_1seed/davinci/ppl.similar_to.jsonl +93 -0
- experiments/results/lm_lc_1shots_2seed/davinci/ppl.competitor__rival_of.jsonl +89 -0
- experiments/results/lm_lc_1shots_2seed/davinci/ppl.friend__ally_of.jsonl +92 -0
- experiments/results/lm_lc_1shots_2seed/davinci/ppl.influenced_by.jsonl +93 -0
- experiments/results/lm_lc_1shots_2seed/davinci/ppl.known_for.jsonl +108 -0
- experiments/results/lm_lc_1shots_2seed/davinci/ppl.similar_to.jsonl +93 -0
- experiments/results/lm_lc_3shots_0seed/davinci/ppl.competitor__rival_of.jsonl +89 -0
- experiments/results/lm_lc_3shots_0seed/davinci/ppl.friend__ally_of.jsonl +92 -0
- experiments/results/lm_lc_3shots_0seed/davinci/ppl.influenced_by.jsonl +93 -0
- experiments/results/lm_lc_3shots_0seed/davinci/ppl.known_for.jsonl +108 -0
- experiments/results/lm_lc_3shots_0seed/davinci/ppl.similar_to.jsonl +93 -0
- experiments/results/lm_lc_3shots_1seed/davinci/ppl.competitor__rival_of.jsonl +89 -0
- experiments/results/lm_lc_3shots_1seed/davinci/ppl.friend__ally_of.jsonl +92 -0
- experiments/results/lm_lc_3shots_1seed/davinci/ppl.influenced_by.jsonl +93 -0
- experiments/results/lm_lc_3shots_1seed/davinci/ppl.known_for.jsonl +108 -0
- experiments/results/lm_lc_3shots_1seed/davinci/ppl.similar_to.jsonl +93 -0
- experiments/results/lm_lc_3shots_2seed/davinci/ppl.competitor__rival_of.jsonl +89 -0
- experiments/results/lm_lc_3shots_2seed/davinci/ppl.friend__ally_of.jsonl +92 -0
- experiments/results/lm_lc_3shots_2seed/davinci/ppl.influenced_by.jsonl +93 -0
- experiments/results/lm_lc_3shots_2seed/davinci/ppl.known_for.jsonl +108 -0
- experiments/results/lm_lc_3shots_2seed/davinci/ppl.similar_to.jsonl +93 -0
- experiments/results/lm_lc_fewshots.csv +7 -0
- experiments/results/lm_qa_1shots_0seed/davinci/ppl.competitor__rival_of.jsonl +89 -0
- experiments/results/lm_qa_1shots_0seed/davinci/ppl.friend__ally_of.jsonl +92 -0
- experiments/results/lm_qa_1shots_0seed/davinci/ppl.influenced_by.jsonl +93 -0
- experiments/results/lm_qa_1shots_0seed/davinci/ppl.known_for.jsonl +108 -0
- experiments/results/lm_qa_1shots_0seed/davinci/ppl.similar_to.jsonl +93 -0
- experiments/results/lm_qa_1shots_1seed/davinci/ppl.competitor__rival_of.jsonl +89 -0
- experiments/results/lm_qa_1shots_1seed/davinci/ppl.friend__ally_of.jsonl +92 -0
- experiments/results/lm_qa_1shots_1seed/davinci/ppl.influenced_by.jsonl +93 -0
- experiments/results/lm_qa_1shots_1seed/davinci/ppl.known_for.jsonl +108 -0
- experiments/results/lm_qa_1shots_1seed/davinci/ppl.similar_to.jsonl +93 -0
- experiments/results/lm_qa_1shots_2seed/davinci/ppl.competitor__rival_of.jsonl +89 -0
- experiments/results/lm_qa_1shots_2seed/davinci/ppl.friend__ally_of.jsonl +92 -0
- experiments/results/lm_qa_1shots_2seed/davinci/ppl.influenced_by.jsonl +93 -0
- experiments/results/lm_qa_1shots_2seed/davinci/ppl.known_for.jsonl +108 -0
- experiments/results/lm_qa_1shots_2seed/davinci/ppl.similar_to.jsonl +93 -0
- experiments/results/lm_qa_3shots_0seed/davinci/ppl.competitor__rival_of.jsonl +89 -0
- experiments/results/lm_qa_3shots_0seed/davinci/ppl.friend__ally_of.jsonl +92 -0
experiments/baseline_lm_lc_fewshot.py
CHANGED
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@@ -28,9 +28,9 @@ for shots in shots_num:
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full_result = []
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for lm, ppl_class, batch, pretty_name in [
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# ("google/flan-ul2", EncoderDecoderLM, 1, "Flan-UL2"),
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("google/flan-t5-xxl", EncoderDecoderLM, 1, "Flan-T5\textsubscript{XXL}"),
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# ("facebook/opt-13b", LM, 1, "OPT\textsubscript{13B}"),
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-
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]:
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scorer = None
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for shots in shots_num:
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full_result = []
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for lm, ppl_class, batch, pretty_name in [
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# ("google/flan-ul2", EncoderDecoderLM, 1, "Flan-UL2"),
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# ("google/flan-t5-xxl", EncoderDecoderLM, 1, "Flan-T5\textsubscript{XXL}"),
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# ("facebook/opt-13b", LM, 1, "OPT\textsubscript{13B}"),
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("davinci", OpenAI, None, "GPT-3\textsubscript{davinci}")
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]:
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scorer = None
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for shots in shots_num:
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experiments/baseline_lm_qa_fewshot.py
CHANGED
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@@ -16,7 +16,7 @@ prompt_dict = {
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"influenced by": "what has influenced different entities",
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"similar to": "examples of entities that are similar"
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}
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-
data = load_dataset("cardiffnlp/
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shots_ref = {}
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for shots in shots_num:
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all_perms = list(permutations(range(5), shots))
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full_result = []
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for lm, ppl_class, batch, pretty_name in [
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-
("google/flan-ul2", EncoderDecoderLM, 1, "Flan-UL2"),
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-
("google/flan-t5-xxl", EncoderDecoderLM, 1, "Flan-T5\textsubscript{XXL}"),
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-
("facebook/opt-13b", LM, 1, "OPT\textsubscript{13B}"),
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("davinci", OpenAI, None, "GPT-3\textsubscript{davinci}")
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]:
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scorer = None
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"influenced by": "what has influenced different entities",
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"similar to": "examples of entities that are similar"
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}
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+
data = load_dataset("cardiffnlp/relentless", split="test")
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shots_ref = {}
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for shots in shots_num:
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all_perms = list(permutations(range(5), shots))
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full_result = []
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for lm, ppl_class, batch, pretty_name in [
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+
# ("google/flan-ul2", EncoderDecoderLM, 1, "Flan-UL2"),
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+
# ("google/flan-t5-xxl", EncoderDecoderLM, 1, "Flan-T5\textsubscript{XXL}"),
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+
# ("facebook/opt-13b", LM, 1, "OPT\textsubscript{13B}"),
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("davinci", OpenAI, None, "GPT-3\textsubscript{davinci}")
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]:
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scorer = None
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experiments/results/lm_lc_1shots_0seed/davinci/ppl.competitor__rival_of.jsonl
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| 1 |
+
{"perplexity": 39.88163270224096, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Jeremy Corbyn\", \"Keir Starmer\"]", "output": ""}
|
| 2 |
+
{"perplexity": 99.3674288103413, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"EuroBasket 2022\", \"Murad III\"]", "output": ""}
|
| 3 |
+
{"perplexity": 31.884203232556974, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Bugatti\", \"Lamborghini\"]", "output": ""}
|
| 4 |
+
{"perplexity": 38.95786677655233, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Apple\", \"Microsoft\"]", "output": ""}
|
| 5 |
+
{"perplexity": 38.46373793857679, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Lee Chong Wei\", \"Lin Dan\"]", "output": ""}
|
| 6 |
+
{"perplexity": 38.13399586161263, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft\", \"Google\"]", "output": ""}
|
| 7 |
+
{"perplexity": 68.70830802980294, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Samsung\", \"Pitbull\"]", "output": ""}
|
| 8 |
+
{"perplexity": 21.650184009758554, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Cristiano Ronaldo\", \"Lionel Messi\"]", "output": ""}
|
| 9 |
+
{"perplexity": 46.449764435217794, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Germany\", \"Austria\"]", "output": ""}
|
| 10 |
+
{"perplexity": 49.70393399762801, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dyson\", \"Dualit\"]", "output": ""}
|
| 11 |
+
{"perplexity": 64.6632053757968, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Netflix\", \"Disney Plus\"]", "output": ""}
|
| 12 |
+
{"perplexity": 38.52246818681454, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"PyTorch\", \"TensorFlow\"]", "output": ""}
|
| 13 |
+
{"perplexity": 40.31600942959033, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]", "output": ""}
|
| 14 |
+
{"perplexity": 44.4207430854621, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Sanpellegrino\", \"Volvic\"]", "output": ""}
|
| 15 |
+
{"perplexity": 38.20122686385406, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Mikhail Khodorkovsky\", \"Hezbollah\"]", "output": ""}
|
| 16 |
+
{"perplexity": 32.298720646518056, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"British Airways\", \"Aer Lingus\"]", "output": ""}
|
| 17 |
+
{"perplexity": 42.9327733150503, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": ""}
|
| 18 |
+
{"perplexity": 41.20527746795171, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Federal Reserve Board\", \"Bank of England\"]", "output": ""}
|
| 19 |
+
{"perplexity": 58.032923855630344, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"American Psycho\", \"Chihuahua\"]", "output": ""}
|
| 20 |
+
{"perplexity": 43.51908763125997, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Mars\", \"Snickers\"]", "output": ""}
|
| 21 |
+
{"perplexity": 56.14381983991964, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"ASML\", \"LAM Research\"]", "output": ""}
|
| 22 |
+
{"perplexity": 77.66603231313697, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Jake Paul\", \"Tangled\"]", "output": ""}
|
| 23 |
+
{"perplexity": 28.013732091388327, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Nikhita Khrushchev\", \"Leonid Brezhnev\"]", "output": ""}
|
| 24 |
+
{"perplexity": 48.70244309787754, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Razer\", \"Dell\"]", "output": ""}
|
| 25 |
+
{"perplexity": 45.152044725803776, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Spotify\", \"Apple\"]", "output": ""}
|
| 26 |
+
{"perplexity": 53.921930124091475, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Kourtney Kardashian\", \"Jenna Fischer\"]", "output": ""}
|
| 27 |
+
{"perplexity": 42.37671503112761, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Twitter\", \"WhatsApp\"]", "output": ""}
|
| 28 |
+
{"perplexity": 35.87823770192176, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Manchester United\", \"Arsenal\"]", "output": ""}
|
| 29 |
+
{"perplexity": 38.42025012567368, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"WeChat\", \"WhatsApp\"]", "output": ""}
|
| 30 |
+
{"perplexity": 47.824720249429426, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Saudi Arabia\", \"Israel\"]", "output": ""}
|
| 31 |
+
{"perplexity": 44.423207528595704, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Bashar al-Assad\", \"Christianity\"]", "output": ""}
|
| 32 |
+
{"perplexity": 48.51051589020791, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Didier Deschamps\", \"Scott Adkins\"]", "output": ""}
|
| 33 |
+
{"perplexity": 24.179996983391803, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Lionel Messi\", \"Kylian Mbapp\u00e9\"]", "output": ""}
|
| 34 |
+
{"perplexity": 76.32388458678295, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Louis Philippe\", \"Peter England\"]", "output": ""}
|
| 35 |
+
{"perplexity": 80.66790861804606, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Steve Jobs\", \"Atlanta\"]", "output": ""}
|
| 36 |
+
{"perplexity": 45.41863564234787, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Bella Hadid\", \"Choi Woo-shik\"]", "output": ""}
|
| 37 |
+
{"perplexity": 73.08789456623927, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Mali\", \"Frances McDormand\"]", "output": ""}
|
| 38 |
+
{"perplexity": 23.68335412568568, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Coca-Cola Company\", \"Pepsi\"]", "output": ""}
|
| 39 |
+
{"perplexity": 20.18210703975105, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Khabib Nurmagomedov\", \"Conor McGregor\"]", "output": ""}
|
| 40 |
+
{"perplexity": 44.6589603267654, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Twitter\", \"Facebook\"]", "output": ""}
|
| 41 |
+
{"perplexity": 33.67611640896039, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Cardiff University\", \"Swansea University\"]", "output": ""}
|
| 42 |
+
{"perplexity": 22.685288557038664, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Isaac Newton\", \"Gottfried Leibniz\"]", "output": ""}
|
| 43 |
+
{"perplexity": 45.00574038193765, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Casio\", \"Texas Instruments\"]", "output": ""}
|
| 44 |
+
{"perplexity": 28.67752624932459, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Arsenal\", \"Tottenham Hotspur\"]", "output": ""}
|
| 45 |
+
{"perplexity": 51.50669943676513, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Nintendo\", \"Xbox\"]", "output": ""}
|
| 46 |
+
{"perplexity": 48.414668023087025, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"H&M\", \"Zalora\"]", "output": ""}
|
| 47 |
+
{"perplexity": 32.54240433933439, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Serena Williams\", \"Andy Murray\"]", "output": ""}
|
| 48 |
+
{"perplexity": 32.145537824841306, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Liverpool FC\", \"Manchester United\"]", "output": ""}
|
| 49 |
+
{"perplexity": 41.27713834283031, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Apple\", \"Samsung\"]", "output": ""}
|
| 50 |
+
{"perplexity": 36.64042595903592, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Expedia\", \"Trivago\"]", "output": ""}
|
| 51 |
+
{"perplexity": 22.08703110252115, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Heathrow Airport\", \"Gatwick Airport\"]", "output": ""}
|
| 52 |
+
{"perplexity": 41.9684756295956, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Mario\", \"Bowser\"]", "output": ""}
|
| 53 |
+
{"perplexity": 49.464105197363835, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"US\", \"China\"]", "output": ""}
|
| 54 |
+
{"perplexity": 32.58389810921715, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Olympic Games\", \"Helicobacter pylori\"]", "output": ""}
|
| 55 |
+
{"perplexity": 26.89826009180297, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"BMW\", \"Mercedes-Benz\"]", "output": ""}
|
| 56 |
+
{"perplexity": 35.313151588586635, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Blur\", \"Oasis\"]", "output": ""}
|
| 57 |
+
{"perplexity": 44.08650330659231, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Israel\", \"Palestine\"]", "output": ""}
|
| 58 |
+
{"perplexity": 42.34847452675674, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Toshiba\", \"LG\"]", "output": ""}
|
| 59 |
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{"perplexity": 55.499291220083705, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Apple\", \"Rolex\"]", "output": ""}
|
| 60 |
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{"perplexity": 60.41326423724582, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Tesla\", \"Skoda\"]", "output": ""}
|
| 61 |
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{"perplexity": 44.623913938404186, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Thomas Jefferson\", \"Alexander Hamilton\"]", "output": ""}
|
| 62 |
+
{"perplexity": 30.32071311323334, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Chester FC\", \"Wrexham FC\"]", "output": ""}
|
| 63 |
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{"perplexity": 49.35860045014872, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Line of Duty\", \"CSI\"]", "output": ""}
|
| 64 |
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{"perplexity": 51.6554025612914, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Gladiator\", \"Imelda Staunton\"]", "output": ""}
|
| 65 |
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{"perplexity": 47.30020976376704, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"UK\", \"France\"]", "output": ""}
|
| 66 |
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{"perplexity": 30.638844339375865, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Nike\", \"Adidas\"]", "output": ""}
|
| 67 |
+
{"perplexity": 23.202675703189982, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Alain Prost\", \"Ayrton Senna\"]", "output": ""}
|
| 68 |
+
{"perplexity": 30.915505115970866, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Manchester City\", \"Manchester United\"]", "output": ""}
|
| 69 |
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{"perplexity": 46.81760056055844, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"BBC\", \"The Guardian\"]", "output": ""}
|
| 70 |
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{"perplexity": 38.68539942909588, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Amazon\", \"Ebay\"]", "output": ""}
|
| 71 |
+
{"perplexity": 31.209221573326133, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Sir Alex Ferguson\", \"Jose Mourinho\"]", "output": ""}
|
| 72 |
+
{"perplexity": 82.5341274316636, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"ASEAN\", \"Helen Hunt\"]", "output": ""}
|
| 73 |
+
{"perplexity": 35.90403312631967, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Hans Zimmer\", \"John Williams\"]", "output": ""}
|
| 74 |
+
{"perplexity": 39.23343212774744, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Noel Gallagher\", \"Liam Gallaguer\"]", "output": ""}
|
| 75 |
+
{"perplexity": 24.103211342754193, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"McDonald's\", \"Burger King\"]", "output": ""}
|
| 76 |
+
{"perplexity": 33.233664653382746, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Neoclassicism\", \"Romanticism\"]", "output": ""}
|
| 77 |
+
{"perplexity": 109.48805194730826, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Royal Feast\", \"Fast X\"]", "output": ""}
|
| 78 |
+
{"perplexity": 51.8124868820493, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Eminem\", \"MGK\"]", "output": ""}
|
| 79 |
+
{"perplexity": 40.532427641240886, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Sprite\", \"7 Up\"]", "output": ""}
|
| 80 |
+
{"perplexity": 41.38097803203895, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Katharine Hepburn\", \"Abrahamic religion\"]", "output": ""}
|
| 81 |
+
{"perplexity": 28.30106254724282, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Martin Luther King Jr.\", \"Malcolm X\"]", "output": ""}
|
| 82 |
+
{"perplexity": 63.08272616930003, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Ligue 1\", \"Hayley Atwell\"]", "output": ""}
|
| 83 |
+
{"perplexity": 64.08267686855011, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Vikram\", \"Coen brothers\"]", "output": ""}
|
| 84 |
+
{"perplexity": 49.22859788408587, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Russia\", \"China\"]", "output": ""}
|
| 85 |
+
{"perplexity": 58.476779615734756, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Mohamed Salah\", \"Korea\"]", "output": ""}
|
| 86 |
+
{"perplexity": 64.0317736265082, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Kingston\", \"Samsung\"]", "output": ""}
|
| 87 |
+
{"perplexity": 43.46259718062082, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"AWS\", \"GCP\"]", "output": ""}
|
| 88 |
+
{"perplexity": 29.64278182343584, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Beatles\", \"Rolling Stones\"]", "output": ""}
|
| 89 |
+
{"perplexity": 53.69616618045452, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"John Tyler\", \"Whig Party\"]", "output": ""}
|
experiments/results/lm_lc_1shots_0seed/davinci/ppl.friend__ally_of.jsonl
ADDED
|
@@ -0,0 +1,92 @@
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|
| 1 |
+
{"perplexity": 43.81984548518335, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Rishi Sunak\", \"Leo Varadkar\"]", "output": ""}
|
| 2 |
+
{"perplexity": 35.14122905822144, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Gondor\", \"Rohan\"]", "output": ""}
|
| 3 |
+
{"perplexity": 44.811958938188255, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"FIFA\", \"UEFA\"]", "output": ""}
|
| 4 |
+
{"perplexity": 25.720867487201684, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Joseph Stalin\", \"Josip Broz Tito\"]", "output": ""}
|
| 5 |
+
{"perplexity": 31.30854689953462, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Hillary Clinton\", \"Barack Obama\"]", "output": ""}
|
| 6 |
+
{"perplexity": 43.18728681414511, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Di Maio\", \"Salvini\"]", "output": ""}
|
| 7 |
+
{"perplexity": 50.46728304173281, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Yahoo\", \"Yahoo Japan\"]", "output": ""}
|
| 8 |
+
{"perplexity": 24.915301847854447, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Armenia\", \"Azerbaijan\"]", "output": ""}
|
| 9 |
+
{"perplexity": 71.17326651067194, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Doja Cat\", \"Anthony Albanese\"]", "output": ""}
|
| 10 |
+
{"perplexity": 22.266347207116407, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Pedro S\u00e1nchez\", \"Pablo Iglesias\"]", "output": ""}
|
| 11 |
+
{"perplexity": 68.49173658576566, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Islamic State\", \"Denys Prokopenko\"]", "output": ""}
|
| 12 |
+
{"perplexity": 65.24246453487771, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Brazil\", \"India\"]", "output": ""}
|
| 13 |
+
{"perplexity": 37.519459674817845, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]", "output": ""}
|
| 14 |
+
{"perplexity": 35.835454920994025, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Sicily\", \"Calabria\"]", "output": ""}
|
| 15 |
+
{"perplexity": 74.34748590423388, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Oman\", \"Iran\"]", "output": ""}
|
| 16 |
+
{"perplexity": 75.33940302285416, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Sony\", \"ZEISS\"]", "output": ""}
|
| 17 |
+
{"perplexity": 106.13645164237981, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"FTX\", \"Alameda Research\"]", "output": ""}
|
| 18 |
+
{"perplexity": 60.43648188392946, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"UK\", \"Commonwealth\"]", "output": ""}
|
| 19 |
+
{"perplexity": 45.330203694842886, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]", "output": ""}
|
| 20 |
+
{"perplexity": 28.5767696865729, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Kylo Ren\", \"Rey\"]", "output": ""}
|
| 21 |
+
{"perplexity": 55.10637385663257, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Anne Boleyn\", \"Columbia Pictures\"]", "output": ""}
|
| 22 |
+
{"perplexity": 53.68413745614901, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"KGB\", \"CIA\"]", "output": ""}
|
| 23 |
+
{"perplexity": 70.25084412185367, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Rishi Sunak\", \"Joe Biden\"]", "output": ""}
|
| 24 |
+
{"perplexity": 37.65624621110792, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Quentin Tarantino\", \"Edgar Wright\"]", "output": ""}
|
| 25 |
+
{"perplexity": 44.09120441157259, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Keir Starmer\", \"Jeremy Corbyn\"]", "output": ""}
|
| 26 |
+
{"perplexity": 35.74695689623564, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"U.S.S.R.\", \"East Germany\"]", "output": ""}
|
| 27 |
+
{"perplexity": 29.27329946015169, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Harry Potter\", \"Severus Snape\"]", "output": ""}
|
| 28 |
+
{"perplexity": 47.36344377701836, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Tata Motors\", \"Jaguar\"]", "output": ""}
|
| 29 |
+
{"perplexity": 67.58617937287963, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Kendall Jenner\", \"Bergen\"]", "output": ""}
|
| 30 |
+
{"perplexity": 68.94400815604773, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Thomas Jefferson\", \"Kid Cudi\"]", "output": ""}
|
| 31 |
+
{"perplexity": 49.35007174033678, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"South Korea\", \"Japan\"]", "output": ""}
|
| 32 |
+
{"perplexity": 48.56242834594493, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Spain\", \"Portugal\"]", "output": ""}
|
| 33 |
+
{"perplexity": 34.39158322136975, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Liam Gallagher\", \"Noel Gallagher\"]", "output": ""}
|
| 34 |
+
{"perplexity": 38.80485664811815, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"France\", \"Belgium\"]", "output": ""}
|
| 35 |
+
{"perplexity": 41.13018991368135, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Turkish Airlines\", \"All Nippon Airways\"]", "output": ""}
|
| 36 |
+
{"perplexity": 38.62223014953745, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Malaysia\", \"Singapore\"]", "output": ""}
|
| 37 |
+
{"perplexity": 52.4418937802233, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"JP Morgan\", \"Morgan Stanley\"]", "output": ""}
|
| 38 |
+
{"perplexity": 30.56924027913103, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Sophia Loren\", \"Marlon Brando\"]", "output": ""}
|
| 39 |
+
{"perplexity": 16.535038297953406, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"J.R.R. Tolkien\", \"C.S. Lewis\"]", "output": ""}
|
| 40 |
+
{"perplexity": 47.716656099365956, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"China\", \"North Korea\"]", "output": ""}
|
| 41 |
+
{"perplexity": 29.25770484785846, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Margaret Thatcher\", \"Ronald Reagan\"]", "output": ""}
|
| 42 |
+
{"perplexity": 65.08566652167778, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Eva Per\u00f3n\", \"Interpol\"]", "output": ""}
|
| 43 |
+
{"perplexity": 58.78628328198653, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"UK\", \"Ireland\"]", "output": ""}
|
| 44 |
+
{"perplexity": 61.78239700812388, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Singapore\", \"Israel\"]", "output": ""}
|
| 45 |
+
{"perplexity": 33.3902995031249, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Eastern Orthodoxy\", \"Oriental Orthodoxy\"]", "output": ""}
|
| 46 |
+
{"perplexity": 62.319100306372, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"India\", \"US\"]", "output": ""}
|
| 47 |
+
{"perplexity": 50.653154592320526, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Ed Gein\", \"Colonel Sanders\"]", "output": ""}
|
| 48 |
+
{"perplexity": 40.87548102509247, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Beatles\", \"Rolling Stones\"]", "output": ""}
|
| 49 |
+
{"perplexity": 51.28530568210848, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Red Bull\", \"GoPro\"]", "output": ""}
|
| 50 |
+
{"perplexity": 63.55222197845432, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"HSBC\", \"BlackRock\"]", "output": ""}
|
| 51 |
+
{"perplexity": 35.52294601683546, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Elsa\", \"Anna\"]", "output": ""}
|
| 52 |
+
{"perplexity": 32.3460672382813, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Macbeth\", \"Banquo\"]", "output": ""}
|
| 53 |
+
{"perplexity": 60.6984897583484, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Aznar\", \"Bush\"]", "output": ""}
|
| 54 |
+
{"perplexity": 58.6020439057863, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Google\", \"Samsung\"]", "output": ""}
|
| 55 |
+
{"perplexity": 49.492501072593335, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"IMF\", \"The World Bank\"]", "output": ""}
|
| 56 |
+
{"perplexity": 57.33466121936419, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Nikon\", \"Tokina\"]", "output": ""}
|
| 57 |
+
{"perplexity": 31.73931491292496, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Walter White\", \"Gus Fring\"]", "output": ""}
|
| 58 |
+
{"perplexity": 32.849679077012766, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Ron Weasley\", \"Neville Longbottom\"]", "output": ""}
|
| 59 |
+
{"perplexity": 22.66632552601555, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Darth Vader\", \"Emperor Palpatine\"]", "output": ""}
|
| 60 |
+
{"perplexity": 27.25862525171139, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Coca-Cola\", \"McDonald's\"]", "output": ""}
|
| 61 |
+
{"perplexity": 44.00092232603248, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Instagram\", \"WhatsApp\"]", "output": ""}
|
| 62 |
+
{"perplexity": 48.4365626967286, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Noah Schnapp\", \"Galatasaray S.K.\"]", "output": ""}
|
| 63 |
+
{"perplexity": 55.20568242323685, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"US\", \"Canada\"]", "output": ""}
|
| 64 |
+
{"perplexity": 49.70532043081212, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Bob Marley\", \"Abu Bakr\"]", "output": ""}
|
| 65 |
+
{"perplexity": 54.09778450021051, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Jeff Bezos\", \"GitHub\"]", "output": ""}
|
| 66 |
+
{"perplexity": 58.16918474602722, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Hong Kong\", \"HSBC\"]", "output": ""}
|
| 67 |
+
{"perplexity": 37.721503029919354, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"United States\", \"United Kingdom\"]", "output": ""}
|
| 68 |
+
{"perplexity": 28.29193779012657, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Porter Wagoner\", \"Dolly Parton\"]", "output": ""}
|
| 69 |
+
{"perplexity": 72.25343642564421, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Achilles\", \"Jonathan Bailey\"]", "output": ""}
|
| 70 |
+
{"perplexity": 45.81280475539677, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Linus Sebastian\", \"Marques Brownlee\"]", "output": ""}
|
| 71 |
+
{"perplexity": 38.78275142363799, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Catherine Zeta-Jones\", \"Johnny Knoxville\"]", "output": ""}
|
| 72 |
+
{"perplexity": 80.80793618646884, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Amazon\", \"Royal Mail\"]", "output": ""}
|
| 73 |
+
{"perplexity": 50.59978396999745, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"The Beatles\", \"Queen\"]", "output": ""}
|
| 74 |
+
{"perplexity": 36.607194269203234, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Benedict Cumberbatch\", \"Hanukkah\"]", "output": ""}
|
| 75 |
+
{"perplexity": 67.22877004808572, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Huawei\", \"China\"]", "output": ""}
|
| 76 |
+
{"perplexity": 60.22209094244625, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Rishi Sunak\", \"Emmanuel Macron\"]", "output": ""}
|
| 77 |
+
{"perplexity": 63.76770344098117, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Microsoft\", \"LinkedIn\"]", "output": ""}
|
| 78 |
+
{"perplexity": 62.56981215501749, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Paul Rudd\", \"Memento\"]", "output": ""}
|
| 79 |
+
{"perplexity": 63.39681844402088, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Russia\", \"Georgia\"]", "output": ""}
|
| 80 |
+
{"perplexity": 47.13891635263521, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Germany\", \"France\"]", "output": ""}
|
| 81 |
+
{"perplexity": 53.0537932710874, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Stephen Hawking\", \"Brian Cox\"]", "output": ""}
|
| 82 |
+
{"perplexity": 20.53413810043741, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Jean-Michel Basquiat\", \"Andy Warhol\"]", "output": ""}
|
| 83 |
+
{"perplexity": 64.88173074198954, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Mark Drakeford\", \"Rishi Sunak\"]", "output": ""}
|
| 84 |
+
{"perplexity": 66.10200061738894, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"J\u00fcrgen Klopp\", \"Exo\"]", "output": ""}
|
| 85 |
+
{"perplexity": 64.14682941044627, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Windows\", \"Xbox\"]", "output": ""}
|
| 86 |
+
{"perplexity": 67.47950144760594, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Saturn\", \"Rachel Bilson\"]", "output": ""}
|
| 87 |
+
{"perplexity": 65.86548358194628, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Ottoman Empire\", \"Snowpiercer\"]", "output": ""}
|
| 88 |
+
{"perplexity": 43.72930176488755, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Johnny Cash\", \"Waylon Jennings\"]", "output": ""}
|
| 89 |
+
{"perplexity": 50.04439071416737, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"UN\", \"NATO\"]", "output": ""}
|
| 90 |
+
{"perplexity": 40.92223517774574, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Boris Johnson\", \"Emmanuel Macron\"]", "output": ""}
|
| 91 |
+
{"perplexity": 26.521673155554673, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Cersei Lannister\", \"Euron Greyjoy\"]", "output": ""}
|
| 92 |
+
{"perplexity": 54.52650691983172, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Japan\", \"Taiwan\"]", "output": ""}
|
experiments/results/lm_lc_1shots_0seed/davinci/ppl.influenced_by.jsonl
ADDED
|
@@ -0,0 +1,93 @@
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| 1 |
+
{"perplexity": 76.45043701046733, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Prince Harry\", \"Monarchy\"]", "output": ""}
|
| 2 |
+
{"perplexity": 76.10178831932659, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"F1\", \"social media\"]", "output": ""}
|
| 3 |
+
{"perplexity": 37.858226723315795, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Elton John\", \"Elvis Presley\"]", "output": ""}
|
| 4 |
+
{"perplexity": 69.70227346450237, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Jack Black\", \"Waffen-SS\"]", "output": ""}
|
| 5 |
+
{"perplexity": 34.629774586283126, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Game of Thrones\", \"Lord of the Rings\"]", "output": ""}
|
| 6 |
+
{"perplexity": 49.59420525613165, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Canon\", \"Nikon\"]", "output": ""}
|
| 7 |
+
{"perplexity": 46.81154199120747, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Thomas Aquinas\", \"Aristotle\"]", "output": ""}
|
| 8 |
+
{"perplexity": 67.18690721114469, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Android\", \"iOS\"]", "output": ""}
|
| 9 |
+
{"perplexity": 76.1307652917712, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Charles Baudelaire\", \"Tornado MRCA\"]", "output": ""}
|
| 10 |
+
{"perplexity": 66.22100928576928, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"trending music\", \"TikTok\"]", "output": ""}
|
| 11 |
+
{"perplexity": 46.59376084233305, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Xi Jinping\", \"Kim Jong-il\"]", "output": ""}
|
| 12 |
+
{"perplexity": 47.86173622538639, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Beethoven\", \"romanticism\"]", "output": ""}
|
| 13 |
+
{"perplexity": 43.599721521683556, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Edgar Allan Poe\", \"Romanticism\"]", "output": ""}
|
| 14 |
+
{"perplexity": 79.09793720645182, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"US\", \"NASA\"]", "output": ""}
|
| 15 |
+
{"perplexity": 69.94069688747194, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Wales\", \"Westminster\"]", "output": ""}
|
| 16 |
+
{"perplexity": 71.28722865199435, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Sierra Leone\", \"Pulp fiction\"]", "output": ""}
|
| 17 |
+
{"perplexity": 60.3348646693764, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Ethereum\", \"Bitcoin\"]", "output": ""}
|
| 18 |
+
{"perplexity": 50.409661414058974, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Theresa May\", \"David Cameron\"]", "output": ""}
|
| 19 |
+
{"perplexity": 61.642476673290105, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Anna Delvey\", \"Bernie Madoff\"]", "output": ""}
|
| 20 |
+
{"perplexity": 42.816991413939576, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Lord of the Rings\", \"Beowulf\"]", "output": ""}
|
| 21 |
+
{"perplexity": 49.79520023097145, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Andrew Johnson\", \"Abraham Lincoln\"]", "output": ""}
|
| 22 |
+
{"perplexity": 74.3960006157226, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"LinkedIn\", \"Facebook\"]", "output": ""}
|
| 23 |
+
{"perplexity": 46.2001499576275, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Picasso\", \"Cezanne\"]", "output": ""}
|
| 24 |
+
{"perplexity": 61.759246400646255, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Playstation\", \"Xbox\"]", "output": ""}
|
| 25 |
+
{"perplexity": 69.31059807055757, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Kevin Spacey\", \"Tenerife\"]", "output": ""}
|
| 26 |
+
{"perplexity": 66.76506255910623, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Saudi Arabia\", \"US\"]", "output": ""}
|
| 27 |
+
{"perplexity": 62.90848262650786, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Fitbit\", \"heart rate monitor\"]", "output": ""}
|
| 28 |
+
{"perplexity": 63.67059836016882, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Taiwan\", \"China\"]", "output": ""}
|
| 29 |
+
{"perplexity": 24.008226748214387, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Kylian Mbappe\", \"Cristiano Ronaldo\"]", "output": ""}
|
| 30 |
+
{"perplexity": 53.58643183840436, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Picasso\", \"cubism\"]", "output": ""}
|
| 31 |
+
{"perplexity": 52.23774112286096, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Miley Cyrus\", \"Lorde\"]", "output": ""}
|
| 32 |
+
{"perplexity": 31.263822516912278, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Neymar\", \"Alexis S\u00e1nchez\"]", "output": ""}
|
| 33 |
+
{"perplexity": 46.6097874382761, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Smashing Pumpkins\", \"Beatles\"]", "output": ""}
|
| 34 |
+
{"perplexity": 70.99963123416715, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Portuguese\", \"The Prestige\"]", "output": ""}
|
| 35 |
+
{"perplexity": 84.5960512557807, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Luke Evans\", \"Ava Gardner\"]", "output": ""}
|
| 36 |
+
{"perplexity": 67.40762354674015, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"MacOS\", \"Linux\"]", "output": ""}
|
| 37 |
+
{"perplexity": 66.56573834985349, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Transport for Wales\", \"National Rail\"]", "output": ""}
|
| 38 |
+
{"perplexity": 48.54563171426746, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Herbie Hancock\", \"Miles Davis\"]", "output": ""}
|
| 39 |
+
{"perplexity": 59.24009664127666, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"India\", \"Hinduism\"]", "output": ""}
|
| 40 |
+
{"perplexity": 58.87609660633622, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"hip hop\", \"jazz\"]", "output": ""}
|
| 41 |
+
{"perplexity": 38.953918314416015, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Bob Dylan\", \"Woody Guthrie\"]", "output": ""}
|
| 42 |
+
{"perplexity": 66.60142950750148, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Tim Burton\", \"German expressionism\"]", "output": ""}
|
| 43 |
+
{"perplexity": 47.009318316673856, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Eamon de Valera\", \"James Napper Tandy\"]", "output": ""}
|
| 44 |
+
{"perplexity": 64.36891669896, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Joe Biden\", \"Donald Trump\"]", "output": ""}
|
| 45 |
+
{"perplexity": 61.6277684163164, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Shaquille O'Neal\", \"Selim II\"]", "output": ""}
|
| 46 |
+
{"perplexity": 59.298883509127315, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Cobra Kai\", \"Anna Chlumsky\"]", "output": ""}
|
| 47 |
+
{"perplexity": 44.614054186271694, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Harry Potter\", \"Wizard of Oz\"]", "output": ""}
|
| 48 |
+
{"perplexity": 30.532895917673322, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Coca-Cola\", \"Pepsi\"]", "output": ""}
|
| 49 |
+
{"perplexity": 57.5997703143701, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Apple Music\", \"Spotify\"]", "output": ""}
|
| 50 |
+
{"perplexity": 43.42613053491997, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Singaporean food\", \"Malaysian food\"]", "output": ""}
|
| 51 |
+
{"perplexity": 69.13700310036018, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Guess\", \"Gucci\"]", "output": ""}
|
| 52 |
+
{"perplexity": 66.69618788465097, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Commonwealth\", \"United Kingdom\"]", "output": ""}
|
| 53 |
+
{"perplexity": 69.52662352642928, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"machine learning\", \"Google\"]", "output": ""}
|
| 54 |
+
{"perplexity": 49.1824225970547, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Antonio Salazar\", \"fascism\"]", "output": ""}
|
| 55 |
+
{"perplexity": 71.5632907179156, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Facebook\", \"LinkedIn\"]", "output": ""}
|
| 56 |
+
{"perplexity": 45.25343777818157, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Hank Williams\", \"Jimmie Rodgers\"]", "output": ""}
|
| 57 |
+
{"perplexity": 121.72689963376028, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"painters\", \"Stable Diffusion\"]", "output": ""}
|
| 58 |
+
{"perplexity": 89.6119561283438, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Walmart\", \"Rivaldo\"]", "output": ""}
|
| 59 |
+
{"perplexity": 68.19854674536872, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Sauron\", \"Shiba Inu\"]", "output": ""}
|
| 60 |
+
{"perplexity": 46.35490554905131, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Bruno Mars\", \"James Brown\"]", "output": ""}
|
| 61 |
+
{"perplexity": 60.42038416113614, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Brazil\", \"Spain\"]", "output": ""}
|
| 62 |
+
{"perplexity": 62.573832342709125, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"heavy metal\", \"punk music\"]", "output": ""}
|
| 63 |
+
{"perplexity": 51.588277588130566, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Moon\", \"G\u00f6bekli Tepe\"]", "output": ""}
|
| 64 |
+
{"perplexity": 80.14165869333772, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"English\", \"William Shakespeare\"]", "output": ""}
|
| 65 |
+
{"perplexity": 74.29939409081312, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Beatles\", \"Alice in Wonderland\"]", "output": ""}
|
| 66 |
+
{"perplexity": 50.87471216793361, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"impressionism\", \"Edouard Manet\"]", "output": ""}
|
| 67 |
+
{"perplexity": 67.33540586063246, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Gilbert Gottfried\", \"Mike Krieger\"]", "output": ""}
|
| 68 |
+
{"perplexity": 57.678999721809774, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Vladimir Lenin\", \"chess\"]", "output": ""}
|
| 69 |
+
{"perplexity": 32.249112484859744, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Pepsi\", \"Coca-Cola\"]", "output": ""}
|
| 70 |
+
{"perplexity": 47.83354182335065, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Alicia Vikander\", \"Richard Attenborough\"]", "output": ""}
|
| 71 |
+
{"perplexity": 69.63959465691782, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Luke Bryan\", \"Hank Williams\"]", "output": ""}
|
| 72 |
+
{"perplexity": 47.53867931740652, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Bill Gates\", \"Steve Jobs\"]", "output": ""}
|
| 73 |
+
{"perplexity": 75.14629427827384, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Allu Arjun\", \"Aaron Ramsey\"]", "output": ""}
|
| 74 |
+
{"perplexity": 69.70132344313457, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Stephen King\", \"Arthur Machen\"]", "output": ""}
|
| 75 |
+
{"perplexity": 52.941652458353765, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Bangladesh\", \"India\"]", "output": ""}
|
| 76 |
+
{"perplexity": 68.30107987830823, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"hamburger\", \"Germany\"]", "output": ""}
|
| 77 |
+
{"perplexity": 47.28420399163358, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Plato\", \"Socrates\"]", "output": ""}
|
| 78 |
+
{"perplexity": 31.539645833321778, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Messi\", \"Maradona\"]", "output": ""}
|
| 79 |
+
{"perplexity": 51.80801609360805, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Oasis\", \"Blur\"]", "output": ""}
|
| 80 |
+
{"perplexity": 37.37465673546664, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Quentin Tarantino\", \"Sergio Leone\"]", "output": ""}
|
| 81 |
+
{"perplexity": 61.60016739456386, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"European Union\", \"Germany\"]", "output": ""}
|
| 82 |
+
{"perplexity": 86.42390055335056, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Stephen Foster\", \"Thomas Moore\"]", "output": ""}
|
| 83 |
+
{"perplexity": 50.38264639401802, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Hoover\", \"Dyson\"]", "output": ""}
|
| 84 |
+
{"perplexity": 43.02398359170472, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Mark Rothko\", \"Claude Monet\"]", "output": ""}
|
| 85 |
+
{"perplexity": 53.84493626867748, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"James Brown\", \"Michael Jackson\"]", "output": ""}
|
| 86 |
+
{"perplexity": 66.46135257491103, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Windows\", \"Linux\"]", "output": ""}
|
| 87 |
+
{"perplexity": 59.0428045753859, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Radiohead\", \"David Bowie\"]", "output": ""}
|
| 88 |
+
{"perplexity": 78.45240335943757, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"NVIDIA\", \"AMD\"]", "output": ""}
|
| 89 |
+
{"perplexity": 58.730571910114364, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"India\", \"Gandhi\"]", "output": ""}
|
| 90 |
+
{"perplexity": 57.82469459388586, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Viktor Yushchenko\", \"Bonnie Wright\"]", "output": ""}
|
| 91 |
+
{"perplexity": 34.11627760912317, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Beethoven\", \"Mozart\"]", "output": ""}
|
| 92 |
+
{"perplexity": 62.80643241001863, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Bitcoin\", \"blockchain\"]", "output": ""}
|
| 93 |
+
{"perplexity": 59.42136840758447, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Hong Kong\", \"China\"]", "output": ""}
|
experiments/results/lm_lc_1shots_0seed/davinci/ppl.known_for.jsonl
ADDED
|
@@ -0,0 +1,108 @@
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|
| 1 |
+
{"perplexity": 25.44138533107776, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Hawaii\", \"ukulele\"]", "output": ""}
|
| 2 |
+
{"perplexity": 16.59273373031256, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Paris\", \"Eiffel Tower\"]", "output": ""}
|
| 3 |
+
{"perplexity": 33.38857424682696, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Sweden\", \"pop\"]", "output": ""}
|
| 4 |
+
{"perplexity": 26.084056671044447, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Memphis Depay\", \"Mendelian inheritance\"]", "output": ""}
|
| 5 |
+
{"perplexity": 29.64104070537991, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"France\", \"beaches\"]", "output": ""}
|
| 6 |
+
{"perplexity": 29.997314879557038, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"France\", \"cars\"]", "output": ""}
|
| 7 |
+
{"perplexity": 22.320064904827245, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Alphabet Inc.\", \"Google\"]", "output": ""}
|
| 8 |
+
{"perplexity": 12.730254016546725, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Vincent Van Gogh\", \"The Starry Night\"]", "output": ""}
|
| 9 |
+
{"perplexity": 26.64333442998588, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Italy\", \"Hawaiian pizza\"]", "output": ""}
|
| 10 |
+
{"perplexity": 40.71349661627909, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Japan\", \"glass product\"]", "output": ""}
|
| 11 |
+
{"perplexity": 35.15297891559377, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"France\", \"rococo movement\"]", "output": ""}
|
| 12 |
+
{"perplexity": 26.11403267520611, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Europe\", \"The Final Countdown\"]", "output": ""}
|
| 13 |
+
{"perplexity": 20.492939903751157, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Sophie Turner\", \"Sylvia Plath\"]", "output": ""}
|
| 14 |
+
{"perplexity": 23.79811947391295, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Bill Nye\", \"scientist\"]", "output": ""}
|
| 15 |
+
{"perplexity": 27.104325012666884, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Mercedes Benz\", \"build quality\"]", "output": ""}
|
| 16 |
+
{"perplexity": 25.264378393465893, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Hawaii\", \"beaches\"]", "output": ""}
|
| 17 |
+
{"perplexity": 21.388157310839006, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Jackson Pollock\", \"action painting\"]", "output": ""}
|
| 18 |
+
{"perplexity": 38.976720530359714, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Andhra Pradesh\", \"Martinique\"]", "output": ""}
|
| 19 |
+
{"perplexity": 18.27834938323799, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Keanu Reeves\", \"The Matrix\"]", "output": ""}
|
| 20 |
+
{"perplexity": 24.46287850165188, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Christopher Columbus\", \"India\"]", "output": ""}
|
| 21 |
+
{"perplexity": 15.919334367205876, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Picasso\", \"Guernica\"]", "output": ""}
|
| 22 |
+
{"perplexity": 20.443617671902334, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Italy\", \"Renaissance\"]", "output": ""}
|
| 23 |
+
{"perplexity": 29.404690692576278, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Korea\", \"Breakdance\"]", "output": ""}
|
| 24 |
+
{"perplexity": 26.863505549606348, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Spain\", \"olive oil\"]", "output": ""}
|
| 25 |
+
{"perplexity": 13.881541649312462, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"C.S. Lewis\", \"The Screwtape Letters\"]", "output": ""}
|
| 26 |
+
{"perplexity": 17.71392288131129, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Corsica\", \"Napoleon Bonaparte\"]", "output": ""}
|
| 27 |
+
{"perplexity": 19.679496322364635, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Rafael Nadal\", \"Ralph Macchio\"]", "output": ""}
|
| 28 |
+
{"perplexity": 25.728299060204755, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Walther P38\", \"Lupin the Third\"]", "output": ""}
|
| 29 |
+
{"perplexity": 38.02904666873143, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Richard Harris\", \"Curcuma longa\"]", "output": ""}
|
| 30 |
+
{"perplexity": 19.799375667584243, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Smashing Pumpkins\", \"Thru the eyes of Ruby\"]", "output": ""}
|
| 31 |
+
{"perplexity": 35.55677347161239, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"India\", \"rum\"]", "output": ""}
|
| 32 |
+
{"perplexity": 35.59094315388216, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Parasite\", \"Jersey\"]", "output": ""}
|
| 33 |
+
{"perplexity": 23.843784431197466, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"India\", \"Gurkhas\"]", "output": ""}
|
| 34 |
+
{"perplexity": 23.617202421606564, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Amazon\", \"Alexa\"]", "output": ""}
|
| 35 |
+
{"perplexity": 24.16220373619005, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Thomas Edison\", \"telephone\"]", "output": ""}
|
| 36 |
+
{"perplexity": 36.34076412844503, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Buffon\", \"PSG\"]", "output": ""}
|
| 37 |
+
{"perplexity": 21.506774080765464, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Alfred Hitchcock\", \"horror\"]", "output": ""}
|
| 38 |
+
{"perplexity": 14.19933793457106, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"William Shakespeare\", \"Romeo and Juliet\"]", "output": ""}
|
| 39 |
+
{"perplexity": 19.30679887446712, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Thomas Edison\", \"light bulb\"]", "output": ""}
|
| 40 |
+
{"perplexity": 27.827609944128916, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Michael Jordan\", \"Tessa Thompson\"]", "output": ""}
|
| 41 |
+
{"perplexity": 18.920478747154203, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Inglourious Basterds\", \"Sergio Busquets\"]", "output": ""}
|
| 42 |
+
{"perplexity": 24.8507045328617, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Boris Johnson\", \"Brexit\"]", "output": ""}
|
| 43 |
+
{"perplexity": 28.817828109106628, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Georgia\", \"Joseph Stalin\"]", "output": ""}
|
| 44 |
+
{"perplexity": 29.376764384522932, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"China\", \"coffee\"]", "output": ""}
|
| 45 |
+
{"perplexity": 45.77681848447788, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"OpenAI\", \"ChatGPT\"]", "output": ""}
|
| 46 |
+
{"perplexity": 22.004758439183995, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Tesco\", \"groceries\"]", "output": ""}
|
| 47 |
+
{"perplexity": 25.320845808874825, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Amazon\", \"cloud computing\"]", "output": ""}
|
| 48 |
+
{"perplexity": 24.73481835181303, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Nvidia\", \"GPUs\"]", "output": ""}
|
| 49 |
+
{"perplexity": 21.34663831929081, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Tony Blair\", \"Iraq War\"]", "output": ""}
|
| 50 |
+
{"perplexity": 26.135733486555072, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Germany\", \"techno music\"]", "output": ""}
|
| 51 |
+
{"perplexity": 23.89266480204072, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Michelangelo\", \"Pop Art\"]", "output": ""}
|
| 52 |
+
{"perplexity": 33.72343816570747, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Gilmore Girls\", \"OpenAI\"]", "output": ""}
|
| 53 |
+
{"perplexity": 27.97066395186634, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Ragnar\u00f6k\", \"Little Boy\"]", "output": ""}
|
| 54 |
+
{"perplexity": 25.072955178998043, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Pizzagate\", \"Hillary Clinton\"]", "output": ""}
|
| 55 |
+
{"perplexity": 21.418928210608488, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"George Orwell\", \"Coming Up for Air\"]", "output": ""}
|
| 56 |
+
{"perplexity": 27.68288637426598, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Italy\", \"wine\"]", "output": ""}
|
| 57 |
+
{"perplexity": 15.03983367710082, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Coca-Cola\", \"Pepsi\"]", "output": ""}
|
| 58 |
+
{"perplexity": 24.355613276045357, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Spotify\", \"Podcasts\"]", "output": ""}
|
| 59 |
+
{"perplexity": 28.713742057341957, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Valencia\", \"paella\"]", "output": ""}
|
| 60 |
+
{"perplexity": 30.136018430362338, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"The Office\", \"IBM\"]", "output": ""}
|
| 61 |
+
{"perplexity": 30.473512731864464, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Romania\", \"Roman Catholicism\"]", "output": ""}
|
| 62 |
+
{"perplexity": 25.334871236845668, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"George Washington\", \"Kiribati\"]", "output": ""}
|
| 63 |
+
{"perplexity": 31.372217976973, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Charles Bronson\", \"Rory McIlroy\"]", "output": ""}
|
| 64 |
+
{"perplexity": 27.09457751952889, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Belgium\", \"wine\"]", "output": ""}
|
| 65 |
+
{"perplexity": 24.581419976459927, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Luka Modri\u0107\", \"Rottweiler\"]", "output": ""}
|
| 66 |
+
{"perplexity": 21.53224603802242, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Switzerland\", \"mountains\"]", "output": ""}
|
| 67 |
+
{"perplexity": 24.31581832071986, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Assassin's Creed\", \"history\"]", "output": ""}
|
| 68 |
+
{"perplexity": 23.116939544007924, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Red Bull\", \"energy drinks\"]", "output": ""}
|
| 69 |
+
{"perplexity": 18.528623392318313, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Johnny Cash\", \"Ring of Fire\"]", "output": ""}
|
| 70 |
+
{"perplexity": 23.115418311004472, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Microsoft\", \"Xbox\"]", "output": ""}
|
| 71 |
+
{"perplexity": 23.349107506784023, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Canada\", \"maple syrup\"]", "output": ""}
|
| 72 |
+
{"perplexity": 24.593701057448516, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"France\", \"cheese\"]", "output": ""}
|
| 73 |
+
{"perplexity": 29.86519912263642, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"France\", \"beer\"]", "output": ""}
|
| 74 |
+
{"perplexity": 19.768984448161902, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Nintendo\", \"Super Mario Bros.\"]", "output": ""}
|
| 75 |
+
{"perplexity": 27.83085519877512, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"democracy\", \"North Korea\"]", "output": ""}
|
| 76 |
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{"perplexity": 22.214623296895773, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": ""}
|
| 77 |
+
{"perplexity": 22.297205319682707, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Harry Potter\", \"Bloomsbury\"]", "output": ""}
|
| 78 |
+
{"perplexity": 25.75422431067425, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"France\", \"mountains\"]", "output": ""}
|
| 79 |
+
{"perplexity": 29.337749078178653, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"UK\", \"rain\"]", "output": ""}
|
| 80 |
+
{"perplexity": 21.10776406195823, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Matt Damon\", \"Ocean's Eleven\"]", "output": ""}
|
| 81 |
+
{"perplexity": 23.142777254943862, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Switzerland\", \"banking secrecy\"]", "output": ""}
|
| 82 |
+
{"perplexity": 18.895216814600424, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Adidas\", \"Yeezy Boost\"]", "output": ""}
|
| 83 |
+
{"perplexity": 23.232129797287886, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Portugal\", \"Fado\"]", "output": ""}
|
| 84 |
+
{"perplexity": 29.207355063667528, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Italy\", \"tea\"]", "output": ""}
|
| 85 |
+
{"perplexity": 22.22049333074486, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Beatles\", \"Come Together\"]", "output": ""}
|
| 86 |
+
{"perplexity": 20.292827977450674, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Afro-Brazilians\", \"Capoeira\"]", "output": ""}
|
| 87 |
+
{"perplexity": 23.14687076395108, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Steve Jobs\", \"AirPods\"]", "output": ""}
|
| 88 |
+
{"perplexity": 22.46527476099626, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"Apple Watch\"]", "output": ""}
|
| 89 |
+
{"perplexity": 29.622517235213856, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Frank Abagnale Jr\", \"doctor\"]", "output": ""}
|
| 90 |
+
{"perplexity": 34.688953842385196, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Meta\", \"Instagram\"]", "output": ""}
|
| 91 |
+
{"perplexity": 14.213190372586503, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Jeff Goldblum\", \"Jurassic Park\"]", "output": ""}
|
| 92 |
+
{"perplexity": 12.580864503903502, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]", "output": ""}
|
| 93 |
+
{"perplexity": 25.504644861677413, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Neil Armstrong\", \"Korean War\"]", "output": ""}
|
| 94 |
+
{"perplexity": 22.409983656665567, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"France\", \"baguette\"]", "output": ""}
|
| 95 |
+
{"perplexity": 17.008309934755427, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Queen\", \"Bohemian Rhapsody\"]", "output": ""}
|
| 96 |
+
{"perplexity": 25.782383832487515, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Pixar\", \"Novosibirsk\"]", "output": ""}
|
| 97 |
+
{"perplexity": 17.960872455955478, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Greggs\", \"sausage rolls\"]", "output": ""}
|
| 98 |
+
{"perplexity": 27.84964578360785, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Japan\", \"sake\"]", "output": ""}
|
| 99 |
+
{"perplexity": 26.20602947698677, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"IKEA\", \"food\"]", "output": ""}
|
| 100 |
+
{"perplexity": 31.658792819976945, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"William Grant & Sons\", \"gin\"]", "output": ""}
|
| 101 |
+
{"perplexity": 20.910501779121784, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Netherlands\", \"tulips\"]", "output": ""}
|
| 102 |
+
{"perplexity": 33.73240207687694, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"LAMY\", \"notebook\"]", "output": ""}
|
| 103 |
+
{"perplexity": 18.939097837224267, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Harvey Weinstein\", \"Miramax\"]", "output": ""}
|
| 104 |
+
{"perplexity": 28.095198234135353, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Scotland\", \"whisky\"]", "output": ""}
|
| 105 |
+
{"perplexity": 21.75054050510808, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"MacBook\"]", "output": ""}
|
| 106 |
+
{"perplexity": 20.14381660578992, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Steve Jobs\", \"Apple\"]", "output": ""}
|
| 107 |
+
{"perplexity": 23.449683646678835, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Beatles\", \"I Me Mine\"]", "output": ""}
|
| 108 |
+
{"perplexity": 21.569422543111934, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Google\", \"search engine\"]", "output": ""}
|
experiments/results/lm_lc_1shots_0seed/davinci/ppl.similar_to.jsonl
ADDED
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@@ -0,0 +1,93 @@
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| 1 |
+
{"perplexity": 26.743165723848843, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"pill\", \"tablet\"]", "output": ""}
|
| 2 |
+
{"perplexity": 24.479179267768874, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Eduardo Saverin\", \"Guinea-Bissau\"]", "output": ""}
|
| 3 |
+
{"perplexity": 25.079847854623562, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Dionysus\", \"Toyota Corolla\"]", "output": ""}
|
| 4 |
+
{"perplexity": 27.251052426440115, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Great Britian\", \"British Empire\"]", "output": ""}
|
| 5 |
+
{"perplexity": 29.352951524174347, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"English\", \"Persian\"]", "output": ""}
|
| 6 |
+
{"perplexity": 22.98163688798619, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Chess\", \"Rubik's Cube\"]", "output": ""}
|
| 7 |
+
{"perplexity": 16.32429354027105, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Star Wars\", \"Star Trek\"]", "output": ""}
|
| 8 |
+
{"perplexity": 32.47841166877108, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Anne Heche\", \"Ponzi scheme\"]", "output": ""}
|
| 9 |
+
{"perplexity": 46.653786643851, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Chris Pine\", \"Good Friday\"]", "output": ""}
|
| 10 |
+
{"perplexity": 24.889547844865763, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Sudocrem\", \"Germolene\"]", "output": ""}
|
| 11 |
+
{"perplexity": 18.903432039423794, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Yugoslavia\", \"Albania\"]", "output": ""}
|
| 12 |
+
{"perplexity": 18.438364437782532, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Beatles\", \"Rolling Stones\"]", "output": ""}
|
| 13 |
+
{"perplexity": 23.888039405752913, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"decision tree\", \"neural network\"]", "output": ""}
|
| 14 |
+
{"perplexity": 21.302514784469572, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Suits\", \"Law & Order\"]", "output": ""}
|
| 15 |
+
{"perplexity": 27.255314204996914, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Titanic\", \"Superbad\"]", "output": ""}
|
| 16 |
+
{"perplexity": 18.73798293539243, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Seleucid Empire\", \"Macedonian Empire\"]", "output": ""}
|
| 17 |
+
{"perplexity": 26.44995444886884, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Doctor Who\", \"Timeless\"]", "output": ""}
|
| 18 |
+
{"perplexity": 31.434725394930545, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Srebrenica massacre\", \"Rock Hudson\"]", "output": ""}
|
| 19 |
+
{"perplexity": 22.309851735589437, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Arnold Classic\", \"Mr. Olympia\"]", "output": ""}
|
| 20 |
+
{"perplexity": 33.419241977993984, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Italy\", \"Superman\"]", "output": ""}
|
| 21 |
+
{"perplexity": 27.657590652186652, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Alibaba\", \"Amazon\"]", "output": ""}
|
| 22 |
+
{"perplexity": 19.734691045908317, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Indiana Jones\", \"Star Wars\"]", "output": ""}
|
| 23 |
+
{"perplexity": 41.8327135865159, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"NQ64\", \"Wetherspoons\"]", "output": ""}
|
| 24 |
+
{"perplexity": 23.585416597204347, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Pepsi\", \"Fanta\"]", "output": ""}
|
| 25 |
+
{"perplexity": 36.72438721336029, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Homebase\", \"IKEA\"]", "output": ""}
|
| 26 |
+
{"perplexity": 28.532263378638042, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"ramen\", \"udon\"]", "output": ""}
|
| 27 |
+
{"perplexity": 23.269512299709657, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"England\", \"Wales\"]", "output": ""}
|
| 28 |
+
{"perplexity": 20.16660283118199, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"sphinx\", \"sphynx\"]", "output": ""}
|
| 29 |
+
{"perplexity": 21.61627414580952, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"iPod\", \"iPad\"]", "output": ""}
|
| 30 |
+
{"perplexity": 18.946293803836287, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Olympic Games\", \"X Games\"]", "output": ""}
|
| 31 |
+
{"perplexity": 16.159205761665422, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"McDonald's\", \"Burger King\"]", "output": ""}
|
| 32 |
+
{"perplexity": 29.132221007117746, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Minnesota\", \"Wisconsin\"]", "output": ""}
|
| 33 |
+
{"perplexity": 27.721446328723182, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Slack\", \"Microsoft Teams\"]", "output": ""}
|
| 34 |
+
{"perplexity": 33.65259415861149, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Peter Phillips\", \"Christine Baranski\"]", "output": ""}
|
| 35 |
+
{"perplexity": 29.17650422744135, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Jenna Ortega\", \"Anglo-Saxons\"]", "output": ""}
|
| 36 |
+
{"perplexity": 54.5576057434714, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Karl Urban\", \"France 24\"]", "output": ""}
|
| 37 |
+
{"perplexity": 22.493613789500827, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Sudan\", \"South Sudan\"]", "output": ""}
|
| 38 |
+
{"perplexity": 29.243873050296468, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Gameboy\", \"Nintendo\"]", "output": ""}
|
| 39 |
+
{"perplexity": 27.923774550323284, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Grammy Award\", \"Novel Prize\"]", "output": ""}
|
| 40 |
+
{"perplexity": 36.08154081827024, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"George Ezra\", \"Lead Belly\"]", "output": ""}
|
| 41 |
+
{"perplexity": 23.73453074939028, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Cardiff\", \"Swansea\"]", "output": ""}
|
| 42 |
+
{"perplexity": 20.46019184872404, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Steve Jobs\", \"Tim Cook\"]", "output": ""}
|
| 43 |
+
{"perplexity": 24.617049659167623, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Counter Strike\", \"Rainbow Six\"]", "output": ""}
|
| 44 |
+
{"perplexity": 24.691598548481874, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Hawaii\", \"Guam\"]", "output": ""}
|
| 45 |
+
{"perplexity": 20.468753487175427, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Scrabble\", \"Jenga\"]", "output": ""}
|
| 46 |
+
{"perplexity": 23.247126620599477, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Christmas\", \"Easter\"]", "output": ""}
|
| 47 |
+
{"perplexity": 29.774785353107173, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"fusilli\", \"rotini\"]", "output": ""}
|
| 48 |
+
{"perplexity": 22.553377630107313, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Coachella\", \"Woodstock\"]", "output": ""}
|
| 49 |
+
{"perplexity": 29.172721255897383, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Avatar\", \"Archimedes\"]", "output": ""}
|
| 50 |
+
{"perplexity": 35.27159474860031, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Shark\", \"Bush\"]", "output": ""}
|
| 51 |
+
{"perplexity": 41.76295809668672, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Eva Braun\", \"Phil Jackson\"]", "output": ""}
|
| 52 |
+
{"perplexity": 14.902182344113479, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Coca-Cola\", \"Pepsi\"]", "output": ""}
|
| 53 |
+
{"perplexity": 36.35720163904577, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Joe Burrow\", \"Edward Scissorhands\"]", "output": ""}
|
| 54 |
+
{"perplexity": 22.54290165617339, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Australia\", \"New Zealand\"]", "output": ""}
|
| 55 |
+
{"perplexity": 24.219269926029558, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Edward I\", \"William the Conqueror\"]", "output": ""}
|
| 56 |
+
{"perplexity": 20.948237881449966, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Frank Sinatra\", \"Ella Fitzgerald\"]", "output": ""}
|
| 57 |
+
{"perplexity": 28.464715058466272, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"New York\", \"York\"]", "output": ""}
|
| 58 |
+
{"perplexity": 25.974643667923637, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Uzbekistan\", \"United States\"]", "output": ""}
|
| 59 |
+
{"perplexity": 21.861561918481357, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Red Bull\", \"Monster Energy\"]", "output": ""}
|
| 60 |
+
{"perplexity": 20.67721116042004, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Champions League\", \"Europa League\"]", "output": ""}
|
| 61 |
+
{"perplexity": 31.490243433800224, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Cerave\", \"Nivea\"]", "output": ""}
|
| 62 |
+
{"perplexity": 35.61402129924094, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Galaxy\", \"iPhone\"]", "output": ""}
|
| 63 |
+
{"perplexity": 29.769543604386165, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Mehmet \u00d6z\", \"David Schwimmer\"]", "output": ""}
|
| 64 |
+
{"perplexity": 18.723306569996133, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Disney\", \"Pixar\"]", "output": ""}
|
| 65 |
+
{"perplexity": 17.89629579278768, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Batman\", \"Iron Man\"]", "output": ""}
|
| 66 |
+
{"perplexity": 19.400960784210877, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Gisele B\u00fcndchen\", \"Orson Welles\"]", "output": ""}
|
| 67 |
+
{"perplexity": 22.90268379405846, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Estonia\", \"Finland\"]", "output": ""}
|
| 68 |
+
{"perplexity": 14.852007097654617, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"The Avengers\", \"The Justice League\"]", "output": ""}
|
| 69 |
+
{"perplexity": 13.849960951514662, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Nicolae Ceau\u0219escu\", \"Javier Hern\u00e1ndez\"]", "output": ""}
|
| 70 |
+
{"perplexity": 21.690936439574042, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Adidas\", \"Nike\"]", "output": ""}
|
| 71 |
+
{"perplexity": 24.8194810872824, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Java\", \"Javascript\"]", "output": ""}
|
| 72 |
+
{"perplexity": 27.370572289819602, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"bourbon\", \"Scotch whisky\"]", "output": ""}
|
| 73 |
+
{"perplexity": 26.00214969223128, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Alaska\", \"Canada\"]", "output": ""}
|
| 74 |
+
{"perplexity": 27.67549068480121, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Spain\", \"Italy\"]", "output": ""}
|
| 75 |
+
{"perplexity": 24.293596383889977, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"banana\", \"plantain\"]", "output": ""}
|
| 76 |
+
{"perplexity": 19.945507756296045, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Firefox\", \"Chrome\"]", "output": ""}
|
| 77 |
+
{"perplexity": 18.320782175763757, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Pecorino Romano\", \"Parmesan\"]", "output": ""}
|
| 78 |
+
{"perplexity": 18.575115002843628, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Ligue 1\", \"Bundesliga\"]", "output": ""}
|
| 79 |
+
{"perplexity": 24.26258046856592, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Netflix\", \"Amazon Prime Video\"]", "output": ""}
|
| 80 |
+
{"perplexity": 38.35963539619824, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Primark\", \"Shein\"]", "output": ""}
|
| 81 |
+
{"perplexity": 23.040110008341017, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Dominos' Pizza\", \"Pizza Hut\"]", "output": ""}
|
| 82 |
+
{"perplexity": 25.826638850788285, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"South Africa\", \"Bhagavad Gita\"]", "output": ""}
|
| 83 |
+
{"perplexity": 24.52748703774737, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Germany\", \"France\"]", "output": ""}
|
| 84 |
+
{"perplexity": 32.549246613593624, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Kindle\", \"Jeff Bezos\"]", "output": ""}
|
| 85 |
+
{"perplexity": 14.530648315230607, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Harry Potter\", \"Lord of the Rings\"]", "output": ""}
|
| 86 |
+
{"perplexity": 31.559205040435465, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Yakutia\", \"Turkey\"]", "output": ""}
|
| 87 |
+
{"perplexity": 32.79990226443611, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"PS5\", \"XBox\"]", "output": ""}
|
| 88 |
+
{"perplexity": 23.042599214882642, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Monet\", \"Manet\"]", "output": ""}
|
| 89 |
+
{"perplexity": 21.272403479896855, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Glastonbury\", \"Roskilde\"]", "output": ""}
|
| 90 |
+
{"perplexity": 25.144136518400828, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Telugu\", \"Tamil\"]", "output": ""}
|
| 91 |
+
{"perplexity": 16.55887965340975, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Batman\", \"Superman\"]", "output": ""}
|
| 92 |
+
{"perplexity": 27.19526458846956, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"cannoli\", \"canneloni\"]", "output": ""}
|
| 93 |
+
{"perplexity": 25.39262035447958, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Gerald Ford\", \"Duran Duran\"]", "output": ""}
|
experiments/results/lm_lc_1shots_1seed/davinci/ppl.competitor__rival_of.jsonl
ADDED
|
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|
| 1 |
+
{"perplexity": 49.00483221736847, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Jeremy Corbyn\", \"Keir Starmer\"]", "output": ""}
|
| 2 |
+
{"perplexity": 104.00384901332097, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"EuroBasket 2022\", \"Murad III\"]", "output": ""}
|
| 3 |
+
{"perplexity": 37.459022545512, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Bugatti\", \"Lamborghini\"]", "output": ""}
|
| 4 |
+
{"perplexity": 44.21322851607371, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Apple\", \"Microsoft\"]", "output": ""}
|
| 5 |
+
{"perplexity": 46.27309638338231, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Lee Chong Wei\", \"Lin Dan\"]", "output": ""}
|
| 6 |
+
{"perplexity": 46.71914499071146, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft\", \"Google\"]", "output": ""}
|
| 7 |
+
{"perplexity": 74.88323994306508, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Samsung\", \"Pitbull\"]", "output": ""}
|
| 8 |
+
{"perplexity": 29.53486913878877, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Cristiano Ronaldo\", \"Lionel Messi\"]", "output": ""}
|
| 9 |
+
{"perplexity": 50.93568274007253, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Germany\", \"Austria\"]", "output": ""}
|
| 10 |
+
{"perplexity": 76.73086403832329, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Dyson\", \"Dualit\"]", "output": ""}
|
| 11 |
+
{"perplexity": 77.5084923538533, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Netflix\", \"Disney Plus\"]", "output": ""}
|
| 12 |
+
{"perplexity": 43.77426773447471, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"PyTorch\", \"TensorFlow\"]", "output": ""}
|
| 13 |
+
{"perplexity": 47.65911851860578, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Dell\", \"HP\"]", "output": ""}
|
| 14 |
+
{"perplexity": 37.901330595634185, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Sanpellegrino\", \"Volvic\"]", "output": ""}
|
| 15 |
+
{"perplexity": 47.19044150487466, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Mikhail Khodorkovsky\", \"Hezbollah\"]", "output": ""}
|
| 16 |
+
{"perplexity": 37.10394370443103, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"British Airways\", \"Aer Lingus\"]", "output": ""}
|
| 17 |
+
{"perplexity": 50.53138927332035, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": ""}
|
| 18 |
+
{"perplexity": 46.64929822116616, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Federal Reserve Board\", \"Bank of England\"]", "output": ""}
|
| 19 |
+
{"perplexity": 59.200481770725695, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"American Psycho\", \"Chihuahua\"]", "output": ""}
|
| 20 |
+
{"perplexity": 40.6275784333885, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Mars\", \"Snickers\"]", "output": ""}
|
| 21 |
+
{"perplexity": 64.07592868688747, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"ASML\", \"LAM Research\"]", "output": ""}
|
| 22 |
+
{"perplexity": 83.09934592168047, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Jake Paul\", \"Tangled\"]", "output": ""}
|
| 23 |
+
{"perplexity": 34.460510850688195, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Nikhita Khrushchev\", \"Leonid Brezhnev\"]", "output": ""}
|
| 24 |
+
{"perplexity": 52.11967004490367, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Razer\", \"Dell\"]", "output": ""}
|
| 25 |
+
{"perplexity": 50.85432358465388, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Spotify\", \"Apple\"]", "output": ""}
|
| 26 |
+
{"perplexity": 56.49533593940875, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Kourtney Kardashian\", \"Jenna Fischer\"]", "output": ""}
|
| 27 |
+
{"perplexity": 46.50957409373568, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Twitter\", \"WhatsApp\"]", "output": ""}
|
| 28 |
+
{"perplexity": 47.479549124248244, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Manchester United\", \"Arsenal\"]", "output": ""}
|
| 29 |
+
{"perplexity": 44.71566898077255, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"WeChat\", \"WhatsApp\"]", "output": ""}
|
| 30 |
+
{"perplexity": 56.54967926754612, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Saudi Arabia\", \"Israel\"]", "output": ""}
|
| 31 |
+
{"perplexity": 45.894792462090884, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Bashar al-Assad\", \"Christianity\"]", "output": ""}
|
| 32 |
+
{"perplexity": 59.6870344622867, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Didier Deschamps\", \"Scott Adkins\"]", "output": ""}
|
| 33 |
+
{"perplexity": 28.782736479764193, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Lionel Messi\", \"Kylian Mbapp\u00e9\"]", "output": ""}
|
| 34 |
+
{"perplexity": 63.82030329947339, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Louis Philippe\", \"Peter England\"]", "output": ""}
|
| 35 |
+
{"perplexity": 81.36727203378621, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Steve Jobs\", \"Atlanta\"]", "output": ""}
|
| 36 |
+
{"perplexity": 53.6458171119604, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Bella Hadid\", \"Choi Woo-shik\"]", "output": ""}
|
| 37 |
+
{"perplexity": 68.25254743467343, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Mali\", \"Frances McDormand\"]", "output": ""}
|
| 38 |
+
{"perplexity": 23.697863912767367, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Coca-Cola Company\", \"Pepsi\"]", "output": ""}
|
| 39 |
+
{"perplexity": 26.95508339862958, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Khabib Nurmagomedov\", \"Conor McGregor\"]", "output": ""}
|
| 40 |
+
{"perplexity": 52.76146740003857, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Twitter\", \"Facebook\"]", "output": ""}
|
| 41 |
+
{"perplexity": 42.8182138948267, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Cardiff University\", \"Swansea University\"]", "output": ""}
|
| 42 |
+
{"perplexity": 25.4304590861906, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Isaac Newton\", \"Gottfried Leibniz\"]", "output": ""}
|
| 43 |
+
{"perplexity": 43.31372472741513, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Casio\", \"Texas Instruments\"]", "output": ""}
|
| 44 |
+
{"perplexity": 38.36333590402734, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Arsenal\", \"Tottenham Hotspur\"]", "output": ""}
|
| 45 |
+
{"perplexity": 56.170397838670816, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Nintendo\", \"Xbox\"]", "output": ""}
|
| 46 |
+
{"perplexity": 52.36985946899467, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"H&M\", \"Zalora\"]", "output": ""}
|
| 47 |
+
{"perplexity": 41.221954504850146, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Serena Williams\", \"Andy Murray\"]", "output": ""}
|
| 48 |
+
{"perplexity": 45.61701979661552, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Liverpool FC\", \"Manchester United\"]", "output": ""}
|
| 49 |
+
{"perplexity": 48.507590656562, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Apple\", \"Samsung\"]", "output": ""}
|
| 50 |
+
{"perplexity": 41.78779767963836, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Expedia\", \"Trivago\"]", "output": ""}
|
| 51 |
+
{"perplexity": 28.378456810101785, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Heathrow Airport\", \"Gatwick Airport\"]", "output": ""}
|
| 52 |
+
{"perplexity": 42.807718728830594, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Mario\", \"Bowser\"]", "output": ""}
|
| 53 |
+
{"perplexity": 59.98920113138693, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"US\", \"China\"]", "output": ""}
|
| 54 |
+
{"perplexity": 33.59353569389135, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Olympic Games\", \"Helicobacter pylori\"]", "output": ""}
|
| 55 |
+
{"perplexity": 29.083704976562974, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"BMW\", \"Mercedes-Benz\"]", "output": ""}
|
| 56 |
+
{"perplexity": 40.15102290832748, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Blur\", \"Oasis\"]", "output": ""}
|
| 57 |
+
{"perplexity": 48.34416956873548, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]", "output": ""}
|
| 58 |
+
{"perplexity": 49.62999708711901, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Toshiba\", \"LG\"]", "output": ""}
|
| 59 |
+
{"perplexity": 56.88307369192043, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Apple\", \"Rolex\"]", "output": ""}
|
| 60 |
+
{"perplexity": 63.44642906574259, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Tesla\", \"Skoda\"]", "output": ""}
|
| 61 |
+
{"perplexity": 53.32785157600775, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Thomas Jefferson\", \"Alexander Hamilton\"]", "output": ""}
|
| 62 |
+
{"perplexity": 44.311733421842185, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Chester FC\", \"Wrexham FC\"]", "output": ""}
|
| 63 |
+
{"perplexity": 58.411181475061426, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Line of Duty\", \"CSI\"]", "output": ""}
|
| 64 |
+
{"perplexity": 56.37221983624969, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Gladiator\", \"Imelda Staunton\"]", "output": ""}
|
| 65 |
+
{"perplexity": 58.13156828058906, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"UK\", \"France\"]", "output": ""}
|
| 66 |
+
{"perplexity": 35.519857246265694, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Nike\", \"Adidas\"]", "output": ""}
|
| 67 |
+
{"perplexity": 26.75253840806486, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Alain Prost\", \"Ayrton Senna\"]", "output": ""}
|
| 68 |
+
{"perplexity": 44.10155020557733, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Manchester City\", \"Manchester United\"]", "output": ""}
|
| 69 |
+
{"perplexity": 56.62723346061785, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"BBC\", \"The Guardian\"]", "output": ""}
|
| 70 |
+
{"perplexity": 46.446433824250086, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Amazon\", \"Ebay\"]", "output": ""}
|
| 71 |
+
{"perplexity": 45.52804616066255, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Sir Alex Ferguson\", \"Jose Mourinho\"]", "output": ""}
|
| 72 |
+
{"perplexity": 89.03101258402374, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"ASEAN\", \"Helen Hunt\"]", "output": ""}
|
| 73 |
+
{"perplexity": 43.377885459098934, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Hans Zimmer\", \"John Williams\"]", "output": ""}
|
| 74 |
+
{"perplexity": 52.121489376581884, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Noel Gallagher\", \"Liam Gallaguer\"]", "output": ""}
|
| 75 |
+
{"perplexity": 26.50560167914587, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"McDonald's\", \"Burger King\"]", "output": ""}
|
| 76 |
+
{"perplexity": 38.15256992560136, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Neoclassicism\", \"Romanticism\"]", "output": ""}
|
| 77 |
+
{"perplexity": 102.88326426953347, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Royal Feast\", \"Fast X\"]", "output": ""}
|
| 78 |
+
{"perplexity": 51.10838620469375, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Eminem\", \"MGK\"]", "output": ""}
|
| 79 |
+
{"perplexity": 29.662436728602795, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Sprite\", \"7 Up\"]", "output": ""}
|
| 80 |
+
{"perplexity": 50.09093591912913, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Katharine Hepburn\", \"Abrahamic religion\"]", "output": ""}
|
| 81 |
+
{"perplexity": 31.585129925670184, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Martin Luther King Jr.\", \"Malcolm X\"]", "output": ""}
|
| 82 |
+
{"perplexity": 76.29999546749443, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Ligue 1\", \"Hayley Atwell\"]", "output": ""}
|
| 83 |
+
{"perplexity": 70.49138620728792, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Vikram\", \"Coen brothers\"]", "output": ""}
|
| 84 |
+
{"perplexity": 59.29719067901728, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Russia\", \"China\"]", "output": ""}
|
| 85 |
+
{"perplexity": 70.3282107354578, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Mohamed Salah\", \"Korea\"]", "output": ""}
|
| 86 |
+
{"perplexity": 55.921204738263306, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Kingston\", \"Samsung\"]", "output": ""}
|
| 87 |
+
{"perplexity": 51.31286378079935, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"AWS\", \"GCP\"]", "output": ""}
|
| 88 |
+
{"perplexity": 38.25650517921623, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Beatles\", \"Rolling Stones\"]", "output": ""}
|
| 89 |
+
{"perplexity": 58.205128249442154, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"John Tyler\", \"Whig Party\"]", "output": ""}
|
experiments/results/lm_lc_1shots_1seed/davinci/ppl.friend__ally_of.jsonl
ADDED
|
@@ -0,0 +1,92 @@
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|
| 1 |
+
{"perplexity": 40.44895687200552, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Rishi Sunak\", \"Leo Varadkar\"]", "output": ""}
|
| 2 |
+
{"perplexity": 40.91154455981935, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Gondor\", \"Rohan\"]", "output": ""}
|
| 3 |
+
{"perplexity": 41.41301599556391, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"FIFA\", \"UEFA\"]", "output": ""}
|
| 4 |
+
{"perplexity": 27.535464006955614, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Joseph Stalin\", \"Josip Broz Tito\"]", "output": ""}
|
| 5 |
+
{"perplexity": 35.48863178726981, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Hillary Clinton\", \"Barack Obama\"]", "output": ""}
|
| 6 |
+
{"perplexity": 37.315917316018464, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Di Maio\", \"Salvini\"]", "output": ""}
|
| 7 |
+
{"perplexity": 51.58455911460778, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Yahoo\", \"Yahoo Japan\"]", "output": ""}
|
| 8 |
+
{"perplexity": 24.744785392613824, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Armenia\", \"Azerbaijan\"]", "output": ""}
|
| 9 |
+
{"perplexity": 72.03265499694879, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Doja Cat\", \"Anthony Albanese\"]", "output": ""}
|
| 10 |
+
{"perplexity": 22.05849928385139, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Pedro S\u00e1nchez\", \"Pablo Iglesias\"]", "output": ""}
|
| 11 |
+
{"perplexity": 83.74527173087674, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Islamic State\", \"Denys Prokopenko\"]", "output": ""}
|
| 12 |
+
{"perplexity": 52.64047271281104, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Brazil\", \"India\"]", "output": ""}
|
| 13 |
+
{"perplexity": 33.619734021633704, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]", "output": ""}
|
| 14 |
+
{"perplexity": 39.23273642267813, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Sicily\", \"Calabria\"]", "output": ""}
|
| 15 |
+
{"perplexity": 57.22910686294082, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Oman\", \"Iran\"]", "output": ""}
|
| 16 |
+
{"perplexity": 75.92543677258844, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Sony\", \"ZEISS\"]", "output": ""}
|
| 17 |
+
{"perplexity": 89.5050211684714, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"FTX\", \"Alameda Research\"]", "output": ""}
|
| 18 |
+
{"perplexity": 56.36454040907605, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"UK\", \"Commonwealth\"]", "output": ""}
|
| 19 |
+
{"perplexity": 43.26413147514778, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Australia\", \"New Zealand\"]", "output": ""}
|
| 20 |
+
{"perplexity": 39.420790898027654, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Kylo Ren\", \"Rey\"]", "output": ""}
|
| 21 |
+
{"perplexity": 47.60026126548972, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Anne Boleyn\", \"Columbia Pictures\"]", "output": ""}
|
| 22 |
+
{"perplexity": 46.434650981551, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"KGB\", \"CIA\"]", "output": ""}
|
| 23 |
+
{"perplexity": 61.26541012626304, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Rishi Sunak\", \"Joe Biden\"]", "output": ""}
|
| 24 |
+
{"perplexity": 39.112900733008665, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Quentin Tarantino\", \"Edgar Wright\"]", "output": ""}
|
| 25 |
+
{"perplexity": 38.36842810312819, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Keir Starmer\", \"Jeremy Corbyn\"]", "output": ""}
|
| 26 |
+
{"perplexity": 31.110484307996334, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"U.S.S.R.\", \"East Germany\"]", "output": ""}
|
| 27 |
+
{"perplexity": 34.674864624513084, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Harry Potter\", \"Severus Snape\"]", "output": ""}
|
| 28 |
+
{"perplexity": 42.217441625788034, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Tata Motors\", \"Jaguar\"]", "output": ""}
|
| 29 |
+
{"perplexity": 67.53155003043234, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Kendall Jenner\", \"Bergen\"]", "output": ""}
|
| 30 |
+
{"perplexity": 79.1929611125811, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Thomas Jefferson\", \"Kid Cudi\"]", "output": ""}
|
| 31 |
+
{"perplexity": 47.18832139008769, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"South Korea\", \"Japan\"]", "output": ""}
|
| 32 |
+
{"perplexity": 42.1110209198952, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Spain\", \"Portugal\"]", "output": ""}
|
| 33 |
+
{"perplexity": 38.683504085307014, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Liam Gallagher\", \"Noel Gallagher\"]", "output": ""}
|
| 34 |
+
{"perplexity": 35.95292848467187, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"France\", \"Belgium\"]", "output": ""}
|
| 35 |
+
{"perplexity": 45.65559500977938, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Turkish Airlines\", \"All Nippon Airways\"]", "output": ""}
|
| 36 |
+
{"perplexity": 36.79933378193556, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Malaysia\", \"Singapore\"]", "output": ""}
|
| 37 |
+
{"perplexity": 43.34656245814182, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"JP Morgan\", \"Morgan Stanley\"]", "output": ""}
|
| 38 |
+
{"perplexity": 31.9633362920845, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Sophia Loren\", \"Marlon Brando\"]", "output": ""}
|
| 39 |
+
{"perplexity": 19.730756622187435, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"J.R.R. Tolkien\", \"C.S. Lewis\"]", "output": ""}
|
| 40 |
+
{"perplexity": 42.44731671174987, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"China\", \"North Korea\"]", "output": ""}
|
| 41 |
+
{"perplexity": 32.05698765903196, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Margaret Thatcher\", \"Ronald Reagan\"]", "output": ""}
|
| 42 |
+
{"perplexity": 55.99588129785631, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Eva Per\u00f3n\", \"Interpol\"]", "output": ""}
|
| 43 |
+
{"perplexity": 57.2980398069834, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"UK\", \"Ireland\"]", "output": ""}
|
| 44 |
+
{"perplexity": 55.3722750962275, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Singapore\", \"Israel\"]", "output": ""}
|
| 45 |
+
{"perplexity": 36.76595388048842, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Eastern Orthodoxy\", \"Oriental Orthodoxy\"]", "output": ""}
|
| 46 |
+
{"perplexity": 51.911834233021615, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"India\", \"US\"]", "output": ""}
|
| 47 |
+
{"perplexity": 57.433168671707, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Ed Gein\", \"Colonel Sanders\"]", "output": ""}
|
| 48 |
+
{"perplexity": 35.68953450688385, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Beatles\", \"Rolling Stones\"]", "output": ""}
|
| 49 |
+
{"perplexity": 65.03562682433751, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Red Bull\", \"GoPro\"]", "output": ""}
|
| 50 |
+
{"perplexity": 49.470567815675565, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"HSBC\", \"BlackRock\"]", "output": ""}
|
| 51 |
+
{"perplexity": 62.30222252454272, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Elsa\", \"Anna\"]", "output": ""}
|
| 52 |
+
{"perplexity": 35.88354421897873, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Macbeth\", \"Banquo\"]", "output": ""}
|
| 53 |
+
{"perplexity": 35.6483478397371, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Aznar\", \"Bush\"]", "output": ""}
|
| 54 |
+
{"perplexity": 62.40689008914341, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Google\", \"Samsung\"]", "output": ""}
|
| 55 |
+
{"perplexity": 41.53987754626826, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"IMF\", \"The World Bank\"]", "output": ""}
|
| 56 |
+
{"perplexity": 51.010471530171884, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Nikon\", \"Tokina\"]", "output": ""}
|
| 57 |
+
{"perplexity": 41.525974398877125, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Walter White\", \"Gus Fring\"]", "output": ""}
|
| 58 |
+
{"perplexity": 43.942015165019264, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Ron Weasley\", \"Neville Longbottom\"]", "output": ""}
|
| 59 |
+
{"perplexity": 26.427660022238367, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Darth Vader\", \"Emperor Palpatine\"]", "output": ""}
|
| 60 |
+
{"perplexity": 29.030306691497934, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Coca-Cola\", \"McDonald's\"]", "output": ""}
|
| 61 |
+
{"perplexity": 49.11414421782814, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Instagram\", \"WhatsApp\"]", "output": ""}
|
| 62 |
+
{"perplexity": 44.01538015989894, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Noah Schnapp\", \"Galatasaray S.K.\"]", "output": ""}
|
| 63 |
+
{"perplexity": 52.6467973388568, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"US\", \"Canada\"]", "output": ""}
|
| 64 |
+
{"perplexity": 48.195831751485024, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Bob Marley\", \"Abu Bakr\"]", "output": ""}
|
| 65 |
+
{"perplexity": 60.16264510323619, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Jeff Bezos\", \"GitHub\"]", "output": ""}
|
| 66 |
+
{"perplexity": 55.09601414631872, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Hong Kong\", \"HSBC\"]", "output": ""}
|
| 67 |
+
{"perplexity": 37.75219771205961, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"United States\", \"United Kingdom\"]", "output": ""}
|
| 68 |
+
{"perplexity": 34.04012035358462, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Porter Wagoner\", \"Dolly Parton\"]", "output": ""}
|
| 69 |
+
{"perplexity": 76.24011793958587, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Achilles\", \"Jonathan Bailey\"]", "output": ""}
|
| 70 |
+
{"perplexity": 54.45785666986783, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Linus Sebastian\", \"Marques Brownlee\"]", "output": ""}
|
| 71 |
+
{"perplexity": 38.73386243947733, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Catherine Zeta-Jones\", \"Johnny Knoxville\"]", "output": ""}
|
| 72 |
+
{"perplexity": 69.58798335439205, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Amazon\", \"Royal Mail\"]", "output": ""}
|
| 73 |
+
{"perplexity": 55.73618345379545, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"The Beatles\", \"Queen\"]", "output": ""}
|
| 74 |
+
{"perplexity": 42.228170284411554, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Benedict Cumberbatch\", \"Hanukkah\"]", "output": ""}
|
| 75 |
+
{"perplexity": 60.73530709684323, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Huawei\", \"China\"]", "output": ""}
|
| 76 |
+
{"perplexity": 52.772990887993565, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Rishi Sunak\", \"Emmanuel Macron\"]", "output": ""}
|
| 77 |
+
{"perplexity": 72.44117446606532, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Microsoft\", \"LinkedIn\"]", "output": ""}
|
| 78 |
+
{"perplexity": 72.32178158103986, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Paul Rudd\", \"Memento\"]", "output": ""}
|
| 79 |
+
{"perplexity": 51.9693092962473, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Russia\", \"Georgia\"]", "output": ""}
|
| 80 |
+
{"perplexity": 42.04275101907898, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Germany\", \"France\"]", "output": ""}
|
| 81 |
+
{"perplexity": 57.34803732697713, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Stephen Hawking\", \"Brian Cox\"]", "output": ""}
|
| 82 |
+
{"perplexity": 26.997074895191847, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Jean-Michel Basquiat\", \"Andy Warhol\"]", "output": ""}
|
| 83 |
+
{"perplexity": 63.03613598739015, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Mark Drakeford\", \"Rishi Sunak\"]", "output": ""}
|
| 84 |
+
{"perplexity": 72.49141636291718, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"J\u00fcrgen Klopp\", \"Exo\"]", "output": ""}
|
| 85 |
+
{"perplexity": 74.32867263076044, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Windows\", \"Xbox\"]", "output": ""}
|
| 86 |
+
{"perplexity": 61.99175050732773, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Saturn\", \"Rachel Bilson\"]", "output": ""}
|
| 87 |
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{"perplexity": 59.16470435968232, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Ottoman Empire\", \"Snowpiercer\"]", "output": ""}
|
| 88 |
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{"perplexity": 44.2852934988887, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Johnny Cash\", \"Waylon Jennings\"]", "output": ""}
|
| 89 |
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{"perplexity": 43.20789386319593, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"UN\", \"NATO\"]", "output": ""}
|
| 90 |
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{"perplexity": 40.11784566882933, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Boris Johnson\", \"Emmanuel Macron\"]", "output": ""}
|
| 91 |
+
{"perplexity": 32.473991660978925, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Cersei Lannister\", \"Euron Greyjoy\"]", "output": ""}
|
| 92 |
+
{"perplexity": 45.93054038461575, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"Japan\", \"Taiwan\"]", "output": ""}
|
experiments/results/lm_lc_1shots_1seed/davinci/ppl.influenced_by.jsonl
ADDED
|
@@ -0,0 +1,93 @@
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|
| 1 |
+
{"perplexity": 73.39246434862987, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Prince Harry\", \"Monarchy\"]", "output": ""}
|
| 2 |
+
{"perplexity": 80.0469846179042, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"F1\", \"social media\"]", "output": ""}
|
| 3 |
+
{"perplexity": 40.7548283602426, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Elton John\", \"Elvis Presley\"]", "output": ""}
|
| 4 |
+
{"perplexity": 62.0995898102195, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Jack Black\", \"Waffen-SS\"]", "output": ""}
|
| 5 |
+
{"perplexity": 33.3172685700608, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Game of Thrones\", \"Lord of the Rings\"]", "output": ""}
|
| 6 |
+
{"perplexity": 61.14474237040616, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Canon\", \"Nikon\"]", "output": ""}
|
| 7 |
+
{"perplexity": 31.454833713938744, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Thomas Aquinas\", \"Aristotle\"]", "output": ""}
|
| 8 |
+
{"perplexity": 66.12131212729156, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Android\", \"iOS\"]", "output": ""}
|
| 9 |
+
{"perplexity": 77.0829280313123, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Charles Baudelaire\", \"Tornado MRCA\"]", "output": ""}
|
| 10 |
+
{"perplexity": 73.68447202616542, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"trending music\", \"TikTok\"]", "output": ""}
|
| 11 |
+
{"perplexity": 46.6241338450119, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Xi Jinping\", \"Kim Jong-il\"]", "output": ""}
|
| 12 |
+
{"perplexity": 42.80725837679747, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Beethoven\", \"romanticism\"]", "output": ""}
|
| 13 |
+
{"perplexity": 37.08238092081732, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Edgar Allan Poe\", \"Romanticism\"]", "output": ""}
|
| 14 |
+
{"perplexity": 72.57451664596927, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"US\", \"NASA\"]", "output": ""}
|
| 15 |
+
{"perplexity": 56.09673818677189, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Wales\", \"Westminster\"]", "output": ""}
|
| 16 |
+
{"perplexity": 72.32762290489991, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Sierra Leone\", \"Pulp fiction\"]", "output": ""}
|
| 17 |
+
{"perplexity": 57.31640035484142, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]", "output": ""}
|
| 18 |
+
{"perplexity": 45.819305732409106, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Theresa May\", \"David Cameron\"]", "output": ""}
|
| 19 |
+
{"perplexity": 59.777905900090545, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Anna Delvey\", \"Bernie Madoff\"]", "output": ""}
|
| 20 |
+
{"perplexity": 35.49119805052929, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Lord of the Rings\", \"Beowulf\"]", "output": ""}
|
| 21 |
+
{"perplexity": 50.675273194554165, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Andrew Johnson\", \"Abraham Lincoln\"]", "output": ""}
|
| 22 |
+
{"perplexity": 76.95348881626474, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"LinkedIn\", \"Facebook\"]", "output": ""}
|
| 23 |
+
{"perplexity": 40.14043089166857, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Picasso\", \"Cezanne\"]", "output": ""}
|
| 24 |
+
{"perplexity": 63.3578119895492, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Playstation\", \"Xbox\"]", "output": ""}
|
| 25 |
+
{"perplexity": 72.18479871719904, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Kevin Spacey\", \"Tenerife\"]", "output": ""}
|
| 26 |
+
{"perplexity": 65.91274715432749, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Saudi Arabia\", \"US\"]", "output": ""}
|
| 27 |
+
{"perplexity": 58.99970012974767, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Fitbit\", \"heart rate monitor\"]", "output": ""}
|
| 28 |
+
{"perplexity": 60.12595251725909, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Taiwan\", \"China\"]", "output": ""}
|
| 29 |
+
{"perplexity": 29.57573411298927, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Kylian Mbappe\", \"Cristiano Ronaldo\"]", "output": ""}
|
| 30 |
+
{"perplexity": 45.669655487687805, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Picasso\", \"cubism\"]", "output": ""}
|
| 31 |
+
{"perplexity": 51.042133074977784, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Miley Cyrus\", \"Lorde\"]", "output": ""}
|
| 32 |
+
{"perplexity": 38.51785657871663, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Neymar\", \"Alexis S\u00e1nchez\"]", "output": ""}
|
| 33 |
+
{"perplexity": 47.68971176662016, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Smashing Pumpkins\", \"Beatles\"]", "output": ""}
|
| 34 |
+
{"perplexity": 71.0388159218161, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Portuguese\", \"The Prestige\"]", "output": ""}
|
| 35 |
+
{"perplexity": 68.0783772516478, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Luke Evans\", \"Ava Gardner\"]", "output": ""}
|
| 36 |
+
{"perplexity": 64.85140017444526, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"MacOS\", \"Linux\"]", "output": ""}
|
| 37 |
+
{"perplexity": 70.41804726319221, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Transport for Wales\", \"National Rail\"]", "output": ""}
|
| 38 |
+
{"perplexity": 39.95372834239188, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Herbie Hancock\", \"Miles Davis\"]", "output": ""}
|
| 39 |
+
{"perplexity": 46.97190107224183, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"India\", \"Hinduism\"]", "output": ""}
|
| 40 |
+
{"perplexity": 57.88633574827194, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"hip hop\", \"jazz\"]", "output": ""}
|
| 41 |
+
{"perplexity": 36.819999148117276, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Bob Dylan\", \"Woody Guthrie\"]", "output": ""}
|
| 42 |
+
{"perplexity": 62.63296895646314, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Tim Burton\", \"German expressionism\"]", "output": ""}
|
| 43 |
+
{"perplexity": 40.359157759320944, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Eamon de Valera\", \"James Napper Tandy\"]", "output": ""}
|
| 44 |
+
{"perplexity": 57.98213461395575, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Joe Biden\", \"Donald Trump\"]", "output": ""}
|
| 45 |
+
{"perplexity": 64.78677597463329, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Shaquille O'Neal\", \"Selim II\"]", "output": ""}
|
| 46 |
+
{"perplexity": 60.74492425082736, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Cobra Kai\", \"Anna Chlumsky\"]", "output": ""}
|
| 47 |
+
{"perplexity": 37.49191870372053, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Harry Potter\", \"Wizard of Oz\"]", "output": ""}
|
| 48 |
+
{"perplexity": 30.08680167211718, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Coca-Cola\", \"Pepsi\"]", "output": ""}
|
| 49 |
+
{"perplexity": 56.74330076042404, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Apple Music\", \"Spotify\"]", "output": ""}
|
| 50 |
+
{"perplexity": 42.32486554455183, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Singaporean food\", \"Malaysian food\"]", "output": ""}
|
| 51 |
+
{"perplexity": 81.64464653063551, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Guess\", \"Gucci\"]", "output": ""}
|
| 52 |
+
{"perplexity": 64.81441933460825, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Commonwealth\", \"United Kingdom\"]", "output": ""}
|
| 53 |
+
{"perplexity": 66.55277073053527, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"machine learning\", \"Google\"]", "output": ""}
|
| 54 |
+
{"perplexity": 43.66905192340807, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Antonio Salazar\", \"fascism\"]", "output": ""}
|
| 55 |
+
{"perplexity": 73.84497282119128, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Facebook\", \"LinkedIn\"]", "output": ""}
|
| 56 |
+
{"perplexity": 41.844715267300714, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Hank Williams\", \"Jimmie Rodgers\"]", "output": ""}
|
| 57 |
+
{"perplexity": 114.19492007406046, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"painters\", \"Stable Diffusion\"]", "output": ""}
|
| 58 |
+
{"perplexity": 88.53711725296532, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Walmart\", \"Rivaldo\"]", "output": ""}
|
| 59 |
+
{"perplexity": 61.195857113312336, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Sauron\", \"Shiba Inu\"]", "output": ""}
|
| 60 |
+
{"perplexity": 42.129039366195244, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Bruno Mars\", \"James Brown\"]", "output": ""}
|
| 61 |
+
{"perplexity": 73.06782411113791, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Brazil\", \"Spain\"]", "output": ""}
|
| 62 |
+
{"perplexity": 72.26564873298514, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"heavy metal\", \"punk music\"]", "output": ""}
|
| 63 |
+
{"perplexity": 48.837967762175595, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Moon\", \"G\u00f6bekli Tepe\"]", "output": ""}
|
| 64 |
+
{"perplexity": 68.2095197464517, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"English\", \"William Shakespeare\"]", "output": ""}
|
| 65 |
+
{"perplexity": 63.355346624626534, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Beatles\", \"Alice in Wonderland\"]", "output": ""}
|
| 66 |
+
{"perplexity": 38.89787825283533, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"impressionism\", \"Edouard Manet\"]", "output": ""}
|
| 67 |
+
{"perplexity": 56.776047927856965, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Gilbert Gottfried\", \"Mike Krieger\"]", "output": ""}
|
| 68 |
+
{"perplexity": 50.20448682580428, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Vladimir Lenin\", \"chess\"]", "output": ""}
|
| 69 |
+
{"perplexity": 32.32152210320745, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Pepsi\", \"Coca-Cola\"]", "output": ""}
|
| 70 |
+
{"perplexity": 48.50475711481596, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Alicia Vikander\", \"Richard Attenborough\"]", "output": ""}
|
| 71 |
+
{"perplexity": 59.94781189418915, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Luke Bryan\", \"Hank Williams\"]", "output": ""}
|
| 72 |
+
{"perplexity": 45.803970759143716, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Bill Gates\", \"Steve Jobs\"]", "output": ""}
|
| 73 |
+
{"perplexity": 97.25003181350212, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Allu Arjun\", \"Aaron Ramsey\"]", "output": ""}
|
| 74 |
+
{"perplexity": 65.32902888398137, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Stephen King\", \"Arthur Machen\"]", "output": ""}
|
| 75 |
+
{"perplexity": 53.58843305309024, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Bangladesh\", \"India\"]", "output": ""}
|
| 76 |
+
{"perplexity": 64.94863509005233, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"hamburger\", \"Germany\"]", "output": ""}
|
| 77 |
+
{"perplexity": 33.61803145532834, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Plato\", \"Socrates\"]", "output": ""}
|
| 78 |
+
{"perplexity": 46.06415480060816, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Messi\", \"Maradona\"]", "output": ""}
|
| 79 |
+
{"perplexity": 54.3383868179002, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Oasis\", \"Blur\"]", "output": ""}
|
| 80 |
+
{"perplexity": 34.84191239268721, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Quentin Tarantino\", \"Sergio Leone\"]", "output": ""}
|
| 81 |
+
{"perplexity": 55.326855741141244, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"European Union\", \"Germany\"]", "output": ""}
|
| 82 |
+
{"perplexity": 77.52900534060531, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Stephen Foster\", \"Thomas Moore\"]", "output": ""}
|
| 83 |
+
{"perplexity": 63.49917349581483, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Hoover\", \"Dyson\"]", "output": ""}
|
| 84 |
+
{"perplexity": 43.40034300792647, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Mark Rothko\", \"Claude Monet\"]", "output": ""}
|
| 85 |
+
{"perplexity": 50.22121359053324, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"James Brown\", \"Michael Jackson\"]", "output": ""}
|
| 86 |
+
{"perplexity": 69.60171106492487, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Windows\", \"Linux\"]", "output": ""}
|
| 87 |
+
{"perplexity": 55.48311274574711, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Radiohead\", \"David Bowie\"]", "output": ""}
|
| 88 |
+
{"perplexity": 79.61915096398718, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"NVIDIA\", \"AMD\"]", "output": ""}
|
| 89 |
+
{"perplexity": 53.385792387142864, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"India\", \"Gandhi\"]", "output": ""}
|
| 90 |
+
{"perplexity": 53.77660491504847, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Viktor Yushchenko\", \"Bonnie Wright\"]", "output": ""}
|
| 91 |
+
{"perplexity": 31.644935215535956, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Beethoven\", \"Mozart\"]", "output": ""}
|
| 92 |
+
{"perplexity": 60.87399685506025, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Bitcoin\", \"blockchain\"]", "output": ""}
|
| 93 |
+
{"perplexity": 51.87947152543347, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Hong Kong\", \"China\"]", "output": ""}
|
experiments/results/lm_lc_1shots_1seed/davinci/ppl.known_for.jsonl
ADDED
|
@@ -0,0 +1,108 @@
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| 1 |
+
{"perplexity": 30.035710292033503, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Hawaii\", \"ukulele\"]", "output": ""}
|
| 2 |
+
{"perplexity": 21.267503224126962, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]", "output": ""}
|
| 3 |
+
{"perplexity": 35.491432597421706, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Sweden\", \"pop\"]", "output": ""}
|
| 4 |
+
{"perplexity": 41.42380645910265, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Memphis Depay\", \"Mendelian inheritance\"]", "output": ""}
|
| 5 |
+
{"perplexity": 31.528379564503638, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"France\", \"beaches\"]", "output": ""}
|
| 6 |
+
{"perplexity": 33.626959725974, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"France\", \"cars\"]", "output": ""}
|
| 7 |
+
{"perplexity": 24.81922610005861, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Alphabet Inc.\", \"Google\"]", "output": ""}
|
| 8 |
+
{"perplexity": 16.914017370698836, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Vincent Van Gogh\", \"The Starry Night\"]", "output": ""}
|
| 9 |
+
{"perplexity": 34.261466085426086, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Italy\", \"Hawaiian pizza\"]", "output": ""}
|
| 10 |
+
{"perplexity": 46.969856656016425, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Japan\", \"glass product\"]", "output": ""}
|
| 11 |
+
{"perplexity": 46.08835712700948, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"France\", \"rococo movement\"]", "output": ""}
|
| 12 |
+
{"perplexity": 32.963822186260636, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Europe\", \"The Final Countdown\"]", "output": ""}
|
| 13 |
+
{"perplexity": 25.04760336458347, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Sophie Turner\", \"Sylvia Plath\"]", "output": ""}
|
| 14 |
+
{"perplexity": 25.582675511591834, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Bill Nye\", \"scientist\"]", "output": ""}
|
| 15 |
+
{"perplexity": 27.627340600445365, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Mercedes Benz\", \"build quality\"]", "output": ""}
|
| 16 |
+
{"perplexity": 26.76624255472826, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Hawaii\", \"beaches\"]", "output": ""}
|
| 17 |
+
{"perplexity": 24.847265430933273, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Jackson Pollock\", \"action painting\"]", "output": ""}
|
| 18 |
+
{"perplexity": 40.24486462091612, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Andhra Pradesh\", \"Martinique\"]", "output": ""}
|
| 19 |
+
{"perplexity": 22.454010642376982, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Keanu Reeves\", \"The Matrix\"]", "output": ""}
|
| 20 |
+
{"perplexity": 35.790406469616585, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Christopher Columbus\", \"India\"]", "output": ""}
|
| 21 |
+
{"perplexity": 24.456452034814475, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Picasso\", \"Guernica\"]", "output": ""}
|
| 22 |
+
{"perplexity": 29.405628612313755, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Italy\", \"Renaissance\"]", "output": ""}
|
| 23 |
+
{"perplexity": 38.33057163517337, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Korea\", \"Breakdance\"]", "output": ""}
|
| 24 |
+
{"perplexity": 31.503357368401343, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Spain\", \"olive oil\"]", "output": ""}
|
| 25 |
+
{"perplexity": 17.379955867566466, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"C.S. Lewis\", \"The Screwtape Letters\"]", "output": ""}
|
| 26 |
+
{"perplexity": 21.15942077243794, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Corsica\", \"Napoleon Bonaparte\"]", "output": ""}
|
| 27 |
+
{"perplexity": 29.29375773863272, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Rafael Nadal\", \"Ralph Macchio\"]", "output": ""}
|
| 28 |
+
{"perplexity": 33.51671116232003, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Walther P38\", \"Lupin the Third\"]", "output": ""}
|
| 29 |
+
{"perplexity": 47.839504804449845, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Richard Harris\", \"Curcuma longa\"]", "output": ""}
|
| 30 |
+
{"perplexity": 25.8328298403056, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Smashing Pumpkins\", \"Thru the eyes of Ruby\"]", "output": ""}
|
| 31 |
+
{"perplexity": 39.95903425384728, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"India\", \"rum\"]", "output": ""}
|
| 32 |
+
{"perplexity": 39.380814043775274, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Parasite\", \"Jersey\"]", "output": ""}
|
| 33 |
+
{"perplexity": 27.90357463020429, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"India\", \"Gurkhas\"]", "output": ""}
|
| 34 |
+
{"perplexity": 26.415909769723214, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Amazon\", \"Alexa\"]", "output": ""}
|
| 35 |
+
{"perplexity": 31.911631726101604, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Thomas Edison\", \"telephone\"]", "output": ""}
|
| 36 |
+
{"perplexity": 42.94597511235109, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Buffon\", \"PSG\"]", "output": ""}
|
| 37 |
+
{"perplexity": 20.620305019779142, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Alfred Hitchcock\", \"horror\"]", "output": ""}
|
| 38 |
+
{"perplexity": 20.02707923876893, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"William Shakespeare\", \"Romeo and Juliet\"]", "output": ""}
|
| 39 |
+
{"perplexity": 26.319222960432207, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Thomas Edison\", \"light bulb\"]", "output": ""}
|
| 40 |
+
{"perplexity": 40.70614084039762, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Michael Jordan\", \"Tessa Thompson\"]", "output": ""}
|
| 41 |
+
{"perplexity": 22.354438621955328, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Inglourious Basterds\", \"Sergio Busquets\"]", "output": ""}
|
| 42 |
+
{"perplexity": 28.8115167256866, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Boris Johnson\", \"Brexit\"]", "output": ""}
|
| 43 |
+
{"perplexity": 38.95029442990905, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Georgia\", \"Joseph Stalin\"]", "output": ""}
|
| 44 |
+
{"perplexity": 30.126988140551216, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"China\", \"coffee\"]", "output": ""}
|
| 45 |
+
{"perplexity": 56.76902348969114, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"OpenAI\", \"ChatGPT\"]", "output": ""}
|
| 46 |
+
{"perplexity": 19.259420050520777, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Tesco\", \"groceries\"]", "output": ""}
|
| 47 |
+
{"perplexity": 25.415325910281755, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Amazon\", \"cloud computing\"]", "output": ""}
|
| 48 |
+
{"perplexity": 24.327964362126114, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Nvidia\", \"GPUs\"]", "output": ""}
|
| 49 |
+
{"perplexity": 26.41091974794228, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Tony Blair\", \"Iraq War\"]", "output": ""}
|
| 50 |
+
{"perplexity": 32.92136245025319, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Germany\", \"techno music\"]", "output": ""}
|
| 51 |
+
{"perplexity": 29.314672564530397, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Michelangelo\", \"Pop Art\"]", "output": ""}
|
| 52 |
+
{"perplexity": 41.63257109239954, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Gilmore Girls\", \"OpenAI\"]", "output": ""}
|
| 53 |
+
{"perplexity": 39.82257501424528, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Ragnar\u00f6k\", \"Little Boy\"]", "output": ""}
|
| 54 |
+
{"perplexity": 31.521585122144096, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Pizzagate\", \"Hillary Clinton\"]", "output": ""}
|
| 55 |
+
{"perplexity": 26.76199830875672, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"George Orwell\", \"Coming Up for Air\"]", "output": ""}
|
| 56 |
+
{"perplexity": 29.783326065861313, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Italy\", \"wine\"]", "output": ""}
|
| 57 |
+
{"perplexity": 15.856509529268758, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Coca-Cola\", \"Pepsi\"]", "output": ""}
|
| 58 |
+
{"perplexity": 27.600445642680064, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Spotify\", \"Podcasts\"]", "output": ""}
|
| 59 |
+
{"perplexity": 32.62724165903528, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Valencia\", \"paella\"]", "output": ""}
|
| 60 |
+
{"perplexity": 34.66063773703527, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"The Office\", \"IBM\"]", "output": ""}
|
| 61 |
+
{"perplexity": 35.54319105427081, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Romania\", \"Roman Catholicism\"]", "output": ""}
|
| 62 |
+
{"perplexity": 31.044484210314344, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"George Washington\", \"Kiribati\"]", "output": ""}
|
| 63 |
+
{"perplexity": 30.330214947159078, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Charles Bronson\", \"Rory McIlroy\"]", "output": ""}
|
| 64 |
+
{"perplexity": 27.432931299424123, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Belgium\", \"wine\"]", "output": ""}
|
| 65 |
+
{"perplexity": 34.11183064088702, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Luka Modri\u0107\", \"Rottweiler\"]", "output": ""}
|
| 66 |
+
{"perplexity": 22.528068920797843, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Switzerland\", \"mountains\"]", "output": ""}
|
| 67 |
+
{"perplexity": 26.365794770426884, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Assassin's Creed\", \"history\"]", "output": ""}
|
| 68 |
+
{"perplexity": 20.786616587258486, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Red Bull\", \"energy drinks\"]", "output": ""}
|
| 69 |
+
{"perplexity": 27.80558732548473, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Johnny Cash\", \"Ring of Fire\"]", "output": ""}
|
| 70 |
+
{"perplexity": 26.244391952176688, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Microsoft\", \"Xbox\"]", "output": ""}
|
| 71 |
+
{"perplexity": 24.668507489140318, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Canada\", \"maple syrup\"]", "output": ""}
|
| 72 |
+
{"perplexity": 26.830819427302565, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"France\", \"cheese\"]", "output": ""}
|
| 73 |
+
{"perplexity": 34.635242444805215, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"France\", \"beer\"]", "output": ""}
|
| 74 |
+
{"perplexity": 23.87486541859294, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Nintendo\", \"Super Mario Bros.\"]", "output": ""}
|
| 75 |
+
{"perplexity": 33.260649864682115, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"democracy\", \"North Korea\"]", "output": ""}
|
| 76 |
+
{"perplexity": 24.47557939968271, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]", "output": ""}
|
| 77 |
+
{"perplexity": 22.077908968690164, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Harry Potter\", \"Bloomsbury\"]", "output": ""}
|
| 78 |
+
{"perplexity": 29.616627816911794, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"France\", \"mountains\"]", "output": ""}
|
| 79 |
+
{"perplexity": 32.78054525427851, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"UK\", \"rain\"]", "output": ""}
|
| 80 |
+
{"perplexity": 25.671119241968555, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Matt Damon\", \"Ocean's Eleven\"]", "output": ""}
|
| 81 |
+
{"perplexity": 27.50047873500587, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Switzerland\", \"banking secrecy\"]", "output": ""}
|
| 82 |
+
{"perplexity": 24.797281796495984, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Adidas\", \"Yeezy Boost\"]", "output": ""}
|
| 83 |
+
{"perplexity": 29.148465292802474, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Portugal\", \"Fado\"]", "output": ""}
|
| 84 |
+
{"perplexity": 34.96190753450791, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Italy\", \"tea\"]", "output": ""}
|
| 85 |
+
{"perplexity": 30.54348753336144, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Beatles\", \"Come Together\"]", "output": ""}
|
| 86 |
+
{"perplexity": 26.938368013283664, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Afro-Brazilians\", \"Capoeira\"]", "output": ""}
|
| 87 |
+
{"perplexity": 28.596785978116085, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Steve Jobs\", \"AirPods\"]", "output": ""}
|
| 88 |
+
{"perplexity": 25.00396864326424, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"Apple Watch\"]", "output": ""}
|
| 89 |
+
{"perplexity": 31.846146510344767, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Frank Abagnale Jr\", \"doctor\"]", "output": ""}
|
| 90 |
+
{"perplexity": 48.453795603259366, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Meta\", \"Instagram\"]", "output": ""}
|
| 91 |
+
{"perplexity": 17.92509188214097, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Jeff Goldblum\", \"Jurassic Park\"]", "output": ""}
|
| 92 |
+
{"perplexity": 19.818837432722983, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]", "output": ""}
|
| 93 |
+
{"perplexity": 32.77601751294572, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Neil Armstrong\", \"Korean War\"]", "output": ""}
|
| 94 |
+
{"perplexity": 27.31356452842883, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"France\", \"baguette\"]", "output": ""}
|
| 95 |
+
{"perplexity": 21.09345290128413, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Queen\", \"Bohemian Rhapsody\"]", "output": ""}
|
| 96 |
+
{"perplexity": 29.012117261994902, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Pixar\", \"Novosibirsk\"]", "output": ""}
|
| 97 |
+
{"perplexity": 17.005072069100038, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Greggs\", \"sausage rolls\"]", "output": ""}
|
| 98 |
+
{"perplexity": 30.083024889147755, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Japan\", \"sake\"]", "output": ""}
|
| 99 |
+
{"perplexity": 26.46039718982802, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"IKEA\", \"food\"]", "output": ""}
|
| 100 |
+
{"perplexity": 26.20060559116869, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"William Grant & Sons\", \"gin\"]", "output": ""}
|
| 101 |
+
{"perplexity": 22.438653616295433, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Netherlands\", \"tulips\"]", "output": ""}
|
| 102 |
+
{"perplexity": 32.9842357264198, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"LAMY\", \"notebook\"]", "output": ""}
|
| 103 |
+
{"perplexity": 23.403296633565752, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Harvey Weinstein\", \"Miramax\"]", "output": ""}
|
| 104 |
+
{"perplexity": 28.61563776993922, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Scotland\", \"whisky\"]", "output": ""}
|
| 105 |
+
{"perplexity": 25.327494597572944, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"MacBook\"]", "output": ""}
|
| 106 |
+
{"perplexity": 24.734341249440497, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Steve Jobs\", \"Apple\"]", "output": ""}
|
| 107 |
+
{"perplexity": 29.802536808195825, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Beatles\", \"I Me Mine\"]", "output": ""}
|
| 108 |
+
{"perplexity": 20.81066563383885, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Google\", \"search engine\"]", "output": ""}
|
experiments/results/lm_lc_1shots_1seed/davinci/ppl.similar_to.jsonl
ADDED
|
@@ -0,0 +1,93 @@
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|
| 1 |
+
{"perplexity": 26.960396869200917, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"pill\", \"tablet\"]", "output": ""}
|
| 2 |
+
{"perplexity": 19.428070888569422, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Eduardo Saverin\", \"Guinea-Bissau\"]", "output": ""}
|
| 3 |
+
{"perplexity": 23.554958818851567, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Dionysus\", \"Toyota Corolla\"]", "output": ""}
|
| 4 |
+
{"perplexity": 27.564114104842954, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Great Britian\", \"British Empire\"]", "output": ""}
|
| 5 |
+
{"perplexity": 24.93239200827166, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"English\", \"Persian\"]", "output": ""}
|
| 6 |
+
{"perplexity": 21.413642310922874, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Chess\", \"Rubik's Cube\"]", "output": ""}
|
| 7 |
+
{"perplexity": 19.354163718718656, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Star Wars\", \"Star Trek\"]", "output": ""}
|
| 8 |
+
{"perplexity": 28.855814127349635, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Anne Heche\", \"Ponzi scheme\"]", "output": ""}
|
| 9 |
+
{"perplexity": 44.279540370504996, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Chris Pine\", \"Good Friday\"]", "output": ""}
|
| 10 |
+
{"perplexity": 21.203090996415618, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Sudocrem\", \"Germolene\"]", "output": ""}
|
| 11 |
+
{"perplexity": 17.044265454804297, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Yugoslavia\", \"Albania\"]", "output": ""}
|
| 12 |
+
{"perplexity": 18.541101400320134, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Beatles\", \"Rolling Stones\"]", "output": ""}
|
| 13 |
+
{"perplexity": 23.33451687310917, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"decision tree\", \"neural network\"]", "output": ""}
|
| 14 |
+
{"perplexity": 22.030351863097657, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Suits\", \"Law & Order\"]", "output": ""}
|
| 15 |
+
{"perplexity": 32.22142776737729, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Titanic\", \"Superbad\"]", "output": ""}
|
| 16 |
+
{"perplexity": 18.099696627350067, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Seleucid Empire\", \"Macedonian Empire\"]", "output": ""}
|
| 17 |
+
{"perplexity": 29.40329846798203, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Doctor Who\", \"Timeless\"]", "output": ""}
|
| 18 |
+
{"perplexity": 29.079044074727257, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Srebrenica massacre\", \"Rock Hudson\"]", "output": ""}
|
| 19 |
+
{"perplexity": 20.925651824160326, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Arnold Classic\", \"Mr. Olympia\"]", "output": ""}
|
| 20 |
+
{"perplexity": 31.674608283804, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Italy\", \"Superman\"]", "output": ""}
|
| 21 |
+
{"perplexity": 26.2738973581267, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Alibaba\", \"Amazon\"]", "output": ""}
|
| 22 |
+
{"perplexity": 22.350440390014654, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Indiana Jones\", \"Star Wars\"]", "output": ""}
|
| 23 |
+
{"perplexity": 38.6013585989412, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"NQ64\", \"Wetherspoons\"]", "output": ""}
|
| 24 |
+
{"perplexity": 20.96313328132882, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Pepsi\", \"Fanta\"]", "output": ""}
|
| 25 |
+
{"perplexity": 27.794601724247215, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Homebase\", \"IKEA\"]", "output": ""}
|
| 26 |
+
{"perplexity": 26.928946547995036, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"ramen\", \"udon\"]", "output": ""}
|
| 27 |
+
{"perplexity": 21.302431467088784, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"England\", \"Wales\"]", "output": ""}
|
| 28 |
+
{"perplexity": 19.642967000846895, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"sphinx\", \"sphynx\"]", "output": ""}
|
| 29 |
+
{"perplexity": 20.62137267608498, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"iPod\", \"iPad\"]", "output": ""}
|
| 30 |
+
{"perplexity": 18.678577880635004, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Olympic Games\", \"X Games\"]", "output": ""}
|
| 31 |
+
{"perplexity": 16.06921074390271, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"McDonald's\", \"Burger King\"]", "output": ""}
|
| 32 |
+
{"perplexity": 27.423833193409923, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Minnesota\", \"Wisconsin\"]", "output": ""}
|
| 33 |
+
{"perplexity": 25.509118560195425, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Slack\", \"Microsoft Teams\"]", "output": ""}
|
| 34 |
+
{"perplexity": 34.428884382124345, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Peter Phillips\", \"Christine Baranski\"]", "output": ""}
|
| 35 |
+
{"perplexity": 25.73759569627752, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Jenna Ortega\", \"Anglo-Saxons\"]", "output": ""}
|
| 36 |
+
{"perplexity": 45.36009626054656, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Karl Urban\", \"France 24\"]", "output": ""}
|
| 37 |
+
{"perplexity": 19.77466306795846, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Sudan\", \"South Sudan\"]", "output": ""}
|
| 38 |
+
{"perplexity": 28.291138408221236, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Gameboy\", \"Nintendo\"]", "output": ""}
|
| 39 |
+
{"perplexity": 23.31239248700122, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Grammy Award\", \"Novel Prize\"]", "output": ""}
|
| 40 |
+
{"perplexity": 33.036819398891225, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"George Ezra\", \"Lead Belly\"]", "output": ""}
|
| 41 |
+
{"perplexity": 20.297754885519563, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Cardiff\", \"Swansea\"]", "output": ""}
|
| 42 |
+
{"perplexity": 21.80657551952348, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Steve Jobs\", \"Tim Cook\"]", "output": ""}
|
| 43 |
+
{"perplexity": 23.87276477205206, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Counter Strike\", \"Rainbow Six\"]", "output": ""}
|
| 44 |
+
{"perplexity": 23.366104357735853, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Hawaii\", \"Guam\"]", "output": ""}
|
| 45 |
+
{"perplexity": 19.006113748511176, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Scrabble\", \"Jenga\"]", "output": ""}
|
| 46 |
+
{"perplexity": 22.902059799535067, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Christmas\", \"Easter\"]", "output": ""}
|
| 47 |
+
{"perplexity": 27.20998972230236, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"fusilli\", \"rotini\"]", "output": ""}
|
| 48 |
+
{"perplexity": 23.01822097955191, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Coachella\", \"Woodstock\"]", "output": ""}
|
| 49 |
+
{"perplexity": 30.516388869275847, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Avatar\", \"Archimedes\"]", "output": ""}
|
| 50 |
+
{"perplexity": 35.64654340621104, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Shark\", \"Bush\"]", "output": ""}
|
| 51 |
+
{"perplexity": 41.747435063854994, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Eva Braun\", \"Phil Jackson\"]", "output": ""}
|
| 52 |
+
{"perplexity": 14.560581520897133, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Coca-Cola\", \"Pepsi\"]", "output": ""}
|
| 53 |
+
{"perplexity": 30.748621315780788, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Joe Burrow\", \"Edward Scissorhands\"]", "output": ""}
|
| 54 |
+
{"perplexity": 20.78648585289666, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]", "output": ""}
|
| 55 |
+
{"perplexity": 22.288723201892708, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Edward I\", \"William the Conqueror\"]", "output": ""}
|
| 56 |
+
{"perplexity": 20.493148589024727, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Frank Sinatra\", \"Ella Fitzgerald\"]", "output": ""}
|
| 57 |
+
{"perplexity": 24.370715633476237, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"New York\", \"York\"]", "output": ""}
|
| 58 |
+
{"perplexity": 22.17390277676872, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Uzbekistan\", \"United States\"]", "output": ""}
|
| 59 |
+
{"perplexity": 24.230324101474018, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Red Bull\", \"Monster Energy\"]", "output": ""}
|
| 60 |
+
{"perplexity": 14.181994191932493, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Champions League\", \"Europa League\"]", "output": ""}
|
| 61 |
+
{"perplexity": 25.22122160664522, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Cerave\", \"Nivea\"]", "output": ""}
|
| 62 |
+
{"perplexity": 25.6110109562185, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Galaxy\", \"iPhone\"]", "output": ""}
|
| 63 |
+
{"perplexity": 27.413190416374885, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Mehmet \u00d6z\", \"David Schwimmer\"]", "output": ""}
|
| 64 |
+
{"perplexity": 20.542050818294662, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Disney\", \"Pixar\"]", "output": ""}
|
| 65 |
+
{"perplexity": 24.140718925533335, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Batman\", \"Iron Man\"]", "output": ""}
|
| 66 |
+
{"perplexity": 18.642177151040844, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Gisele B\u00fcndchen\", \"Orson Welles\"]", "output": ""}
|
| 67 |
+
{"perplexity": 19.030572912053206, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Estonia\", \"Finland\"]", "output": ""}
|
| 68 |
+
{"perplexity": 20.501121495161478, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"The Avengers\", \"The Justice League\"]", "output": ""}
|
| 69 |
+
{"perplexity": 13.23504313614267, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Nicolae Ceau\u0219escu\", \"Javier Hern\u00e1ndez\"]", "output": ""}
|
| 70 |
+
{"perplexity": 19.781093576405773, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Adidas\", \"Nike\"]", "output": ""}
|
| 71 |
+
{"perplexity": 23.057697046655598, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Java\", \"Javascript\"]", "output": ""}
|
| 72 |
+
{"perplexity": 26.294334692343355, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"bourbon\", \"Scotch whisky\"]", "output": ""}
|
| 73 |
+
{"perplexity": 23.704208134812134, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Alaska\", \"Canada\"]", "output": ""}
|
| 74 |
+
{"perplexity": 22.405758950088345, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Spain\", \"Italy\"]", "output": ""}
|
| 75 |
+
{"perplexity": 23.22936906142709, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"banana\", \"plantain\"]", "output": ""}
|
| 76 |
+
{"perplexity": 19.749274867562985, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Firefox\", \"Chrome\"]", "output": ""}
|
| 77 |
+
{"perplexity": 17.64457751169933, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Pecorino Romano\", \"Parmesan\"]", "output": ""}
|
| 78 |
+
{"perplexity": 12.793156165859477, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Ligue 1\", \"Bundesliga\"]", "output": ""}
|
| 79 |
+
{"perplexity": 22.633088159608885, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Netflix\", \"Amazon Prime Video\"]", "output": ""}
|
| 80 |
+
{"perplexity": 32.075245013252925, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Primark\", \"Shein\"]", "output": ""}
|
| 81 |
+
{"perplexity": 22.66346814182118, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Dominos' Pizza\", \"Pizza Hut\"]", "output": ""}
|
| 82 |
+
{"perplexity": 22.186310942723853, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"South Africa\", \"Bhagavad Gita\"]", "output": ""}
|
| 83 |
+
{"perplexity": 20.40985503680664, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Germany\", \"France\"]", "output": ""}
|
| 84 |
+
{"perplexity": 31.624079259508107, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Kindle\", \"Jeff Bezos\"]", "output": ""}
|
| 85 |
+
{"perplexity": 16.103479648460695, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Harry Potter\", \"Lord of the Rings\"]", "output": ""}
|
| 86 |
+
{"perplexity": 27.130166294985823, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Yakutia\", \"Turkey\"]", "output": ""}
|
| 87 |
+
{"perplexity": 27.423135787611653, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"PS5\", \"XBox\"]", "output": ""}
|
| 88 |
+
{"perplexity": 22.552762943866938, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Monet\", \"Manet\"]", "output": ""}
|
| 89 |
+
{"perplexity": 22.05191989147436, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Glastonbury\", \"Roskilde\"]", "output": ""}
|
| 90 |
+
{"perplexity": 23.59752796855318, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Telugu\", \"Tamil\"]", "output": ""}
|
| 91 |
+
{"perplexity": 21.62485000398693, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Batman\", \"Superman\"]", "output": ""}
|
| 92 |
+
{"perplexity": 25.150376270814107, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"cannoli\", \"canneloni\"]", "output": ""}
|
| 93 |
+
{"perplexity": 24.63754391432851, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Gerald Ford\", \"Duran Duran\"]", "output": ""}
|
experiments/results/lm_lc_1shots_2seed/davinci/ppl.competitor__rival_of.jsonl
ADDED
|
@@ -0,0 +1,89 @@
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| 1 |
+
{"perplexity": 38.03924818246306, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Jeremy Corbyn\", \"Keir Starmer\"]", "output": ""}
|
| 2 |
+
{"perplexity": 104.19992150559925, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"EuroBasket 2022\", \"Murad III\"]", "output": ""}
|
| 3 |
+
{"perplexity": 32.577741914625605, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Bugatti\", \"Lamborghini\"]", "output": ""}
|
| 4 |
+
{"perplexity": 38.44747296794616, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Apple\", \"Microsoft\"]", "output": ""}
|
| 5 |
+
{"perplexity": 39.74257074314365, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Lee Chong Wei\", \"Lin Dan\"]", "output": ""}
|
| 6 |
+
{"perplexity": 36.60171512369478, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Microsoft\", \"Google\"]", "output": ""}
|
| 7 |
+
{"perplexity": 67.86217905258015, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Samsung\", \"Pitbull\"]", "output": ""}
|
| 8 |
+
{"perplexity": 22.30659455955718, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Cristiano Ronaldo\", \"Lionel Messi\"]", "output": ""}
|
| 9 |
+
{"perplexity": 34.33990552277743, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Germany\", \"Austria\"]", "output": ""}
|
| 10 |
+
{"perplexity": 52.766420684280895, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Dyson\", \"Dualit\"]", "output": ""}
|
| 11 |
+
{"perplexity": 70.51304990247138, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Netflix\", \"Disney Plus\"]", "output": ""}
|
| 12 |
+
{"perplexity": 36.967233091343616, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"PyTorch\", \"TensorFlow\"]", "output": ""}
|
| 13 |
+
{"perplexity": 41.56619051915858, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]", "output": ""}
|
| 14 |
+
{"perplexity": 42.14035038024783, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Sanpellegrino\", \"Volvic\"]", "output": ""}
|
| 15 |
+
{"perplexity": 34.199763498063014, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Mikhail Khodorkovsky\", \"Hezbollah\"]", "output": ""}
|
| 16 |
+
{"perplexity": 36.45032564079393, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"British Airways\", \"Aer Lingus\"]", "output": ""}
|
| 17 |
+
{"perplexity": 45.141753003013, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": ""}
|
| 18 |
+
{"perplexity": 36.520240327368484, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Federal Reserve Board\", \"Bank of England\"]", "output": ""}
|
| 19 |
+
{"perplexity": 56.417283660479036, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"American Psycho\", \"Chihuahua\"]", "output": ""}
|
| 20 |
+
{"perplexity": 55.74200050493377, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Mars\", \"Snickers\"]", "output": ""}
|
| 21 |
+
{"perplexity": 50.5385627981302, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"ASML\", \"LAM Research\"]", "output": ""}
|
| 22 |
+
{"perplexity": 77.59773853490404, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Jake Paul\", \"Tangled\"]", "output": ""}
|
| 23 |
+
{"perplexity": 23.065417295410462, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Nikhita Khrushchev\", \"Leonid Brezhnev\"]", "output": ""}
|
| 24 |
+
{"perplexity": 50.01105742223218, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Razer\", \"Dell\"]", "output": ""}
|
| 25 |
+
{"perplexity": 45.52450024870162, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Spotify\", \"Apple\"]", "output": ""}
|
| 26 |
+
{"perplexity": 56.198649182589435, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Kourtney Kardashian\", \"Jenna Fischer\"]", "output": ""}
|
| 27 |
+
{"perplexity": 41.55241611111473, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Twitter\", \"WhatsApp\"]", "output": ""}
|
| 28 |
+
{"perplexity": 39.766976661935495, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Manchester United\", \"Arsenal\"]", "output": ""}
|
| 29 |
+
{"perplexity": 41.015925571981555, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"WeChat\", \"WhatsApp\"]", "output": ""}
|
| 30 |
+
{"perplexity": 38.87448917577208, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Saudi Arabia\", \"Israel\"]", "output": ""}
|
| 31 |
+
{"perplexity": 33.7230890515072, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Bashar al-Assad\", \"Christianity\"]", "output": ""}
|
| 32 |
+
{"perplexity": 52.236370570768266, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Didier Deschamps\", \"Scott Adkins\"]", "output": ""}
|
| 33 |
+
{"perplexity": 27.26326730279506, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Lionel Messi\", \"Kylian Mbapp\u00e9\"]", "output": ""}
|
| 34 |
+
{"perplexity": 93.65932317947748, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Louis Philippe\", \"Peter England\"]", "output": ""}
|
| 35 |
+
{"perplexity": 80.2485315528617, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Steve Jobs\", \"Atlanta\"]", "output": ""}
|
| 36 |
+
{"perplexity": 46.075260102333, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Bella Hadid\", \"Choi Woo-shik\"]", "output": ""}
|
| 37 |
+
{"perplexity": 60.48710429131083, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Mali\", \"Frances McDormand\"]", "output": ""}
|
| 38 |
+
{"perplexity": 26.228699797693324, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Coca-Cola Company\", \"Pepsi\"]", "output": ""}
|
| 39 |
+
{"perplexity": 20.98987226161041, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Khabib Nurmagomedov\", \"Conor McGregor\"]", "output": ""}
|
| 40 |
+
{"perplexity": 45.47842567133787, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Twitter\", \"Facebook\"]", "output": ""}
|
| 41 |
+
{"perplexity": 32.78994367518287, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Cardiff University\", \"Swansea University\"]", "output": ""}
|
| 42 |
+
{"perplexity": 21.147094326023787, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Isaac Newton\", \"Gottfried Leibniz\"]", "output": ""}
|
| 43 |
+
{"perplexity": 45.52194356994162, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Casio\", \"Texas Instruments\"]", "output": ""}
|
| 44 |
+
{"perplexity": 32.14531693182233, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Arsenal\", \"Tottenham Hotspur\"]", "output": ""}
|
| 45 |
+
{"perplexity": 52.380454853941735, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Nintendo\", \"Xbox\"]", "output": ""}
|
| 46 |
+
{"perplexity": 51.80900670700362, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"H&M\", \"Zalora\"]", "output": ""}
|
| 47 |
+
{"perplexity": 32.678326568592595, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Serena Williams\", \"Andy Murray\"]", "output": ""}
|
| 48 |
+
{"perplexity": 38.552218267527316, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]", "output": ""}
|
| 49 |
+
{"perplexity": 41.61000311975079, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Apple\", \"Samsung\"]", "output": ""}
|
| 50 |
+
{"perplexity": 36.15128521395023, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Expedia\", \"Trivago\"]", "output": ""}
|
| 51 |
+
{"perplexity": 22.735298309036985, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Heathrow Airport\", \"Gatwick Airport\"]", "output": ""}
|
| 52 |
+
{"perplexity": 41.538268951396645, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Mario\", \"Bowser\"]", "output": ""}
|
| 53 |
+
{"perplexity": 38.43289488938333, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"US\", \"China\"]", "output": ""}
|
| 54 |
+
{"perplexity": 29.373349982927493, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Olympic Games\", \"Helicobacter pylori\"]", "output": ""}
|
| 55 |
+
{"perplexity": 28.713621187255548, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"BMW\", \"Mercedes-Benz\"]", "output": ""}
|
| 56 |
+
{"perplexity": 38.99822146434874, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Blur\", \"Oasis\"]", "output": ""}
|
| 57 |
+
{"perplexity": 32.452960587288985, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Israel\", \"Palestine\"]", "output": ""}
|
| 58 |
+
{"perplexity": 43.44576522663288, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Toshiba\", \"LG\"]", "output": ""}
|
| 59 |
+
{"perplexity": 57.09098557303488, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Apple\", \"Rolex\"]", "output": ""}
|
| 60 |
+
{"perplexity": 56.297902164521666, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Tesla\", \"Skoda\"]", "output": ""}
|
| 61 |
+
{"perplexity": 41.68211879642027, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Thomas Jefferson\", \"Alexander Hamilton\"]", "output": ""}
|
| 62 |
+
{"perplexity": 37.270654381591456, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Chester FC\", \"Wrexham FC\"]", "output": ""}
|
| 63 |
+
{"perplexity": 62.42837467324429, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Line of Duty\", \"CSI\"]", "output": ""}
|
| 64 |
+
{"perplexity": 44.558906499178086, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Gladiator\", \"Imelda Staunton\"]", "output": ""}
|
| 65 |
+
{"perplexity": 39.30295436670282, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"UK\", \"France\"]", "output": ""}
|
| 66 |
+
{"perplexity": 34.28258149989905, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Nike\", \"Adidas\"]", "output": ""}
|
| 67 |
+
{"perplexity": 24.032272921392035, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Alain Prost\", \"Ayrton Senna\"]", "output": ""}
|
| 68 |
+
{"perplexity": 35.856649351802446, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Manchester City\", \"Manchester United\"]", "output": ""}
|
| 69 |
+
{"perplexity": 47.28987833831865, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"BBC\", \"The Guardian\"]", "output": ""}
|
| 70 |
+
{"perplexity": 37.721245678860534, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Amazon\", \"Ebay\"]", "output": ""}
|
| 71 |
+
{"perplexity": 37.44163181573122, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Sir Alex Ferguson\", \"Jose Mourinho\"]", "output": ""}
|
| 72 |
+
{"perplexity": 80.7237255725025, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"ASEAN\", \"Helen Hunt\"]", "output": ""}
|
| 73 |
+
{"perplexity": 39.95624549561633, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Hans Zimmer\", \"John Williams\"]", "output": ""}
|
| 74 |
+
{"perplexity": 45.633770471746764, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Noel Gallagher\", \"Liam Gallaguer\"]", "output": ""}
|
| 75 |
+
{"perplexity": 24.733014710209755, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"McDonald's\", \"Burger King\"]", "output": ""}
|
| 76 |
+
{"perplexity": 29.37891721526509, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Neoclassicism\", \"Romanticism\"]", "output": ""}
|
| 77 |
+
{"perplexity": 106.14295631697748, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Royal Feast\", \"Fast X\"]", "output": ""}
|
| 78 |
+
{"perplexity": 50.94106262856683, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Eminem\", \"MGK\"]", "output": ""}
|
| 79 |
+
{"perplexity": 39.940475929136156, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Sprite\", \"7 Up\"]", "output": ""}
|
| 80 |
+
{"perplexity": 44.688617642597805, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Katharine Hepburn\", \"Abrahamic religion\"]", "output": ""}
|
| 81 |
+
{"perplexity": 25.702596650260872, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Martin Luther King Jr.\", \"Malcolm X\"]", "output": ""}
|
| 82 |
+
{"perplexity": 70.1013490706191, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Ligue 1\", \"Hayley Atwell\"]", "output": ""}
|
| 83 |
+
{"perplexity": 65.07133507930361, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Vikram\", \"Coen brothers\"]", "output": ""}
|
| 84 |
+
{"perplexity": 39.356661538785545, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Russia\", \"China\"]", "output": ""}
|
| 85 |
+
{"perplexity": 52.2399619289778, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Mohamed Salah\", \"Korea\"]", "output": ""}
|
| 86 |
+
{"perplexity": 66.00869944546156, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Kingston\", \"Samsung\"]", "output": ""}
|
| 87 |
+
{"perplexity": 45.36287307927594, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"AWS\", \"GCP\"]", "output": ""}
|
| 88 |
+
{"perplexity": 29.512374733679106, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"Beatles\", \"Rolling Stones\"]", "output": ""}
|
| 89 |
+
{"perplexity": 51.46689507336322, "input": "entities that are competitors or rivals:\n* [\"Israel\", \"Palestine\"]\n* [\"John Tyler\", \"Whig Party\"]", "output": ""}
|
experiments/results/lm_lc_1shots_2seed/davinci/ppl.friend__ally_of.jsonl
ADDED
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@@ -0,0 +1,92 @@
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|
| 1 |
+
{"perplexity": 25.89282497034402, "input": "entities that are friends or allies:\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Rishi Sunak\", \"Leo Varadkar\"]", "output": ""}
|
| 2 |
+
{"perplexity": 30.235188927074653, "input": "entities that are friends or allies:\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Gondor\", \"Rohan\"]", "output": ""}
|
| 3 |
+
{"perplexity": 27.91201843823443, "input": "entities that are friends or allies:\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"FIFA\", \"UEFA\"]", "output": ""}
|
| 4 |
+
{"perplexity": 20.043806454540764, "input": "entities that are friends or allies:\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Joseph Stalin\", \"Josip Broz Tito\"]", "output": ""}
|
| 5 |
+
{"perplexity": 24.050423625234767, "input": "entities that are friends or allies:\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Hillary Clinton\", \"Barack Obama\"]", "output": ""}
|
| 6 |
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| 82 |
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| 83 |
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| 85 |
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| 86 |
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| 87 |
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| 88 |
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| 89 |
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| 90 |
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| 91 |
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{"perplexity": 20.945159468736755, "input": "entities that are friends or allies:\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Cersei Lannister\", \"Euron Greyjoy\"]", "output": ""}
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| 92 |
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|
experiments/results/lm_lc_1shots_2seed/davinci/ppl.influenced_by.jsonl
ADDED
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| 1 |
+
{"perplexity": 97.1709726302811, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Prince Harry\", \"Monarchy\"]", "output": ""}
|
| 2 |
+
{"perplexity": 104.16207083836467, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"F1\", \"social media\"]", "output": ""}
|
| 3 |
+
{"perplexity": 46.174012196823384, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Elton John\", \"Elvis Presley\"]", "output": ""}
|
| 4 |
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{"perplexity": 77.92195658414725, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Jack Black\", \"Waffen-SS\"]", "output": ""}
|
| 5 |
+
{"perplexity": 37.476431173019186, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Game of Thrones\", \"Lord of the Rings\"]", "output": ""}
|
| 6 |
+
{"perplexity": 59.862547168552055, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Canon\", \"Nikon\"]", "output": ""}
|
| 7 |
+
{"perplexity": 58.804361505837484, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Thomas Aquinas\", \"Aristotle\"]", "output": ""}
|
| 8 |
+
{"perplexity": 74.63627150668668, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Android\", \"iOS\"]", "output": ""}
|
| 9 |
+
{"perplexity": 92.97603652147414, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Charles Baudelaire\", \"Tornado MRCA\"]", "output": ""}
|
| 10 |
+
{"perplexity": 86.08722045995506, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"trending music\", \"TikTok\"]", "output": ""}
|
| 11 |
+
{"perplexity": 62.05508792694075, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Xi Jinping\", \"Kim Jong-il\"]", "output": ""}
|
| 12 |
+
{"perplexity": 68.89980173388392, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Beethoven\", \"romanticism\"]", "output": ""}
|
| 13 |
+
{"perplexity": 53.413673105301584, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Edgar Allan Poe\", \"Romanticism\"]", "output": ""}
|
| 14 |
+
{"perplexity": 96.90215224457279, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"US\", \"NASA\"]", "output": ""}
|
| 15 |
+
{"perplexity": 85.86601538660524, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Wales\", \"Westminster\"]", "output": ""}
|
| 16 |
+
{"perplexity": 85.65769902912525, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Sierra Leone\", \"Pulp fiction\"]", "output": ""}
|
| 17 |
+
{"perplexity": 46.58308519583193, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Ethereum\", \"Bitcoin\"]", "output": ""}
|
| 18 |
+
{"perplexity": 62.67288170826979, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Theresa May\", \"David Cameron\"]", "output": ""}
|
| 19 |
+
{"perplexity": 77.12158632025745, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Anna Delvey\", \"Bernie Madoff\"]", "output": ""}
|
| 20 |
+
{"perplexity": 48.25304367348053, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Lord of the Rings\", \"Beowulf\"]", "output": ""}
|
| 21 |
+
{"perplexity": 67.88365881770497, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Andrew Johnson\", \"Abraham Lincoln\"]", "output": ""}
|
| 22 |
+
{"perplexity": 75.46062505561976, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"LinkedIn\", \"Facebook\"]", "output": ""}
|
| 23 |
+
{"perplexity": 57.05158859031599, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Picasso\", \"Cezanne\"]", "output": ""}
|
| 24 |
+
{"perplexity": 75.72592368928679, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Playstation\", \"Xbox\"]", "output": ""}
|
| 25 |
+
{"perplexity": 97.80118931142852, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Kevin Spacey\", \"Tenerife\"]", "output": ""}
|
| 26 |
+
{"perplexity": 76.52569246080971, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Saudi Arabia\", \"US\"]", "output": ""}
|
| 27 |
+
{"perplexity": 72.41109419572437, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Fitbit\", \"heart rate monitor\"]", "output": ""}
|
| 28 |
+
{"perplexity": 69.57072822470815, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Taiwan\", \"China\"]", "output": ""}
|
| 29 |
+
{"perplexity": 34.15837567264932, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Kylian Mbappe\", \"Cristiano Ronaldo\"]", "output": ""}
|
| 30 |
+
{"perplexity": 66.5952425252473, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Picasso\", \"cubism\"]", "output": ""}
|
| 31 |
+
{"perplexity": 69.1999491529919, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Miley Cyrus\", \"Lorde\"]", "output": ""}
|
| 32 |
+
{"perplexity": 44.975032539236146, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Neymar\", \"Alexis S\u00e1nchez\"]", "output": ""}
|
| 33 |
+
{"perplexity": 67.73310359361037, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Smashing Pumpkins\", \"Beatles\"]", "output": ""}
|
| 34 |
+
{"perplexity": 83.50826830226107, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Portuguese\", \"The Prestige\"]", "output": ""}
|
| 35 |
+
{"perplexity": 105.48522581485183, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Luke Evans\", \"Ava Gardner\"]", "output": ""}
|
| 36 |
+
{"perplexity": 76.22153371012342, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"MacOS\", \"Linux\"]", "output": ""}
|
| 37 |
+
{"perplexity": 71.69001392306981, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Transport for Wales\", \"National Rail\"]", "output": ""}
|
| 38 |
+
{"perplexity": 56.09157762262883, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Herbie Hancock\", \"Miles Davis\"]", "output": ""}
|
| 39 |
+
{"perplexity": 78.91372105330287, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"India\", \"Hinduism\"]", "output": ""}
|
| 40 |
+
{"perplexity": 72.32772412513503, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"hip hop\", \"jazz\"]", "output": ""}
|
| 41 |
+
{"perplexity": 57.013902026902734, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Bob Dylan\", \"Woody Guthrie\"]", "output": ""}
|
| 42 |
+
{"perplexity": 89.64393121140341, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Tim Burton\", \"German expressionism\"]", "output": ""}
|
| 43 |
+
{"perplexity": 59.28143576488823, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Eamon de Valera\", \"James Napper Tandy\"]", "output": ""}
|
| 44 |
+
{"perplexity": 76.74275982577991, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Joe Biden\", \"Donald Trump\"]", "output": ""}
|
| 45 |
+
{"perplexity": 91.96376691110308, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Shaquille O'Neal\", \"Selim II\"]", "output": ""}
|
| 46 |
+
{"perplexity": 79.42417136436075, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Cobra Kai\", \"Anna Chlumsky\"]", "output": ""}
|
| 47 |
+
{"perplexity": 51.51099611790672, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Harry Potter\", \"Wizard of Oz\"]", "output": ""}
|
| 48 |
+
{"perplexity": 36.48280332039577, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Coca-Cola\", \"Pepsi\"]", "output": ""}
|
| 49 |
+
{"perplexity": 64.6393486825394, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Apple Music\", \"Spotify\"]", "output": ""}
|
| 50 |
+
{"perplexity": 54.11139008379252, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Singaporean food\", \"Malaysian food\"]", "output": ""}
|
| 51 |
+
{"perplexity": 99.63109314900404, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Guess\", \"Gucci\"]", "output": ""}
|
| 52 |
+
{"perplexity": 66.27256581862396, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Commonwealth\", \"United Kingdom\"]", "output": ""}
|
| 53 |
+
{"perplexity": 79.6556671564612, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"machine learning\", \"Google\"]", "output": ""}
|
| 54 |
+
{"perplexity": 47.855082727453755, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Antonio Salazar\", \"fascism\"]", "output": ""}
|
| 55 |
+
{"perplexity": 77.37650827465579, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Facebook\", \"LinkedIn\"]", "output": ""}
|
| 56 |
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{"perplexity": 60.6706609610879, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Hank Williams\", \"Jimmie Rodgers\"]", "output": ""}
|
| 57 |
+
{"perplexity": 144.90473676093296, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"painters\", \"Stable Diffusion\"]", "output": ""}
|
| 58 |
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{"perplexity": 99.51744740137639, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Walmart\", \"Rivaldo\"]", "output": ""}
|
| 59 |
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{"perplexity": 72.77368178161147, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Sauron\", \"Shiba Inu\"]", "output": ""}
|
| 60 |
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{"perplexity": 66.21137498116205, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Bruno Mars\", \"James Brown\"]", "output": ""}
|
| 61 |
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{"perplexity": 92.80853041860591, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Brazil\", \"Spain\"]", "output": ""}
|
| 62 |
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{"perplexity": 88.41202714288347, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"heavy metal\", \"punk music\"]", "output": ""}
|
| 63 |
+
{"perplexity": 59.18218522732281, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Moon\", \"G\u00f6bekli Tepe\"]", "output": ""}
|
| 64 |
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{"perplexity": 99.35105521944807, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"English\", \"William Shakespeare\"]", "output": ""}
|
| 65 |
+
{"perplexity": 84.47924340406028, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Beatles\", \"Alice in Wonderland\"]", "output": ""}
|
| 66 |
+
{"perplexity": 61.451223940265585, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"impressionism\", \"Edouard Manet\"]", "output": ""}
|
| 67 |
+
{"perplexity": 73.41219091178989, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Gilbert Gottfried\", \"Mike Krieger\"]", "output": ""}
|
| 68 |
+
{"perplexity": 69.15660536154208, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Vladimir Lenin\", \"chess\"]", "output": ""}
|
| 69 |
+
{"perplexity": 37.86046472118279, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Pepsi\", \"Coca-Cola\"]", "output": ""}
|
| 70 |
+
{"perplexity": 52.484628318752954, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Alicia Vikander\", \"Richard Attenborough\"]", "output": ""}
|
| 71 |
+
{"perplexity": 89.529972023127, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Luke Bryan\", \"Hank Williams\"]", "output": ""}
|
| 72 |
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{"perplexity": 60.998157967199056, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Bill Gates\", \"Steve Jobs\"]", "output": ""}
|
| 73 |
+
{"perplexity": 102.33134030127806, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Allu Arjun\", \"Aaron Ramsey\"]", "output": ""}
|
| 74 |
+
{"perplexity": 90.44128997646523, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Stephen King\", \"Arthur Machen\"]", "output": ""}
|
| 75 |
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{"perplexity": 62.555900802487415, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Bangladesh\", \"India\"]", "output": ""}
|
| 76 |
+
{"perplexity": 87.96591424631198, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"hamburger\", \"Germany\"]", "output": ""}
|
| 77 |
+
{"perplexity": 61.74422486669011, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Plato\", \"Socrates\"]", "output": ""}
|
| 78 |
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{"perplexity": 57.284279797710255, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]", "output": ""}
|
| 79 |
+
{"perplexity": 88.82754498459018, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Oasis\", \"Blur\"]", "output": ""}
|
| 80 |
+
{"perplexity": 48.313628742895595, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Quentin Tarantino\", \"Sergio Leone\"]", "output": ""}
|
| 81 |
+
{"perplexity": 70.94373938621497, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"European Union\", \"Germany\"]", "output": ""}
|
| 82 |
+
{"perplexity": 121.30328799831811, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Stephen Foster\", \"Thomas Moore\"]", "output": ""}
|
| 83 |
+
{"perplexity": 74.82737132123171, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Hoover\", \"Dyson\"]", "output": ""}
|
| 84 |
+
{"perplexity": 52.040924557316984, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Mark Rothko\", \"Claude Monet\"]", "output": ""}
|
| 85 |
+
{"perplexity": 72.28618497997739, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"James Brown\", \"Michael Jackson\"]", "output": ""}
|
| 86 |
+
{"perplexity": 76.8724040492066, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Windows\", \"Linux\"]", "output": ""}
|
| 87 |
+
{"perplexity": 74.03093752827189, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Radiohead\", \"David Bowie\"]", "output": ""}
|
| 88 |
+
{"perplexity": 80.04187952956364, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"NVIDIA\", \"AMD\"]", "output": ""}
|
| 89 |
+
{"perplexity": 83.34955411090998, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"India\", \"Gandhi\"]", "output": ""}
|
| 90 |
+
{"perplexity": 75.05914441664412, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Viktor Yushchenko\", \"Bonnie Wright\"]", "output": ""}
|
| 91 |
+
{"perplexity": 48.05924660585444, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Beethoven\", \"Mozart\"]", "output": ""}
|
| 92 |
+
{"perplexity": 61.06311224630782, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Bitcoin\", \"blockchain\"]", "output": ""}
|
| 93 |
+
{"perplexity": 62.86106294016587, "input": "what has influenced different entities:\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Hong Kong\", \"China\"]", "output": ""}
|
experiments/results/lm_lc_1shots_2seed/davinci/ppl.known_for.jsonl
ADDED
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@@ -0,0 +1,108 @@
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| 1 |
+
{"perplexity": 26.70409013204089, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Hawaii\", \"ukulele\"]", "output": ""}
|
| 2 |
+
{"perplexity": 17.522938029793185, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Paris\", \"Eiffel Tower\"]", "output": ""}
|
| 3 |
+
{"perplexity": 38.365458037221984, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Sweden\", \"pop\"]", "output": ""}
|
| 4 |
+
{"perplexity": 35.96643178218394, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Memphis Depay\", \"Mendelian inheritance\"]", "output": ""}
|
| 5 |
+
{"perplexity": 29.299642505718552, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"France\", \"beaches\"]", "output": ""}
|
| 6 |
+
{"perplexity": 31.949918493955078, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"France\", \"cars\"]", "output": ""}
|
| 7 |
+
{"perplexity": 25.738947053281503, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Alphabet Inc.\", \"Google\"]", "output": ""}
|
| 8 |
+
{"perplexity": 15.795377722082563, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Vincent Van Gogh\", \"The Starry Night\"]", "output": ""}
|
| 9 |
+
{"perplexity": 30.444793048972823, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Italy\", \"Hawaiian pizza\"]", "output": ""}
|
| 10 |
+
{"perplexity": 45.22079102197546, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Japan\", \"glass product\"]", "output": ""}
|
| 11 |
+
{"perplexity": 37.363254212588046, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"France\", \"rococo movement\"]", "output": ""}
|
| 12 |
+
{"perplexity": 29.797650375449283, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Europe\", \"The Final Countdown\"]", "output": ""}
|
| 13 |
+
{"perplexity": 25.103838834400417, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Sophie Turner\", \"Sylvia Plath\"]", "output": ""}
|
| 14 |
+
{"perplexity": 26.88766848583455, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Bill Nye\", \"scientist\"]", "output": ""}
|
| 15 |
+
{"perplexity": 28.50479058545513, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Mercedes Benz\", \"build quality\"]", "output": ""}
|
| 16 |
+
{"perplexity": 24.47491486337053, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Hawaii\", \"beaches\"]", "output": ""}
|
| 17 |
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{"perplexity": 25.473168208912558, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Jackson Pollock\", \"action painting\"]", "output": ""}
|
| 18 |
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{"perplexity": 43.56421445099299, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Andhra Pradesh\", \"Martinique\"]", "output": ""}
|
| 19 |
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{"perplexity": 21.726960964877307, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Keanu Reeves\", \"The Matrix\"]", "output": ""}
|
| 20 |
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{"perplexity": 31.7593179935249, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Christopher Columbus\", \"India\"]", "output": ""}
|
| 21 |
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{"perplexity": 19.06868838716611, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Picasso\", \"Guernica\"]", "output": ""}
|
| 22 |
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{"perplexity": 23.32519437591809, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Italy\", \"Renaissance\"]", "output": ""}
|
| 23 |
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{"perplexity": 30.519021022113332, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Korea\", \"Breakdance\"]", "output": ""}
|
| 24 |
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{"perplexity": 30.859035404033364, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Spain\", \"olive oil\"]", "output": ""}
|
| 25 |
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{"perplexity": 16.784893734319176, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"C.S. Lewis\", \"The Screwtape Letters\"]", "output": ""}
|
| 26 |
+
{"perplexity": 17.204174118337523, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Corsica\", \"Napoleon Bonaparte\"]", "output": ""}
|
| 27 |
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{"perplexity": 25.900427832434676, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Rafael Nadal\", \"Ralph Macchio\"]", "output": ""}
|
| 28 |
+
{"perplexity": 30.481866189545528, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Walther P38\", \"Lupin the Third\"]", "output": ""}
|
| 29 |
+
{"perplexity": 48.98854182376442, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Richard Harris\", \"Curcuma longa\"]", "output": ""}
|
| 30 |
+
{"perplexity": 22.435424873278812, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Smashing Pumpkins\", \"Thru the eyes of Ruby\"]", "output": ""}
|
| 31 |
+
{"perplexity": 42.27274278885229, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"India\", \"rum\"]", "output": ""}
|
| 32 |
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{"perplexity": 39.73769724405113, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Parasite\", \"Jersey\"]", "output": ""}
|
| 33 |
+
{"perplexity": 26.938681696895543, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"India\", \"Gurkhas\"]", "output": ""}
|
| 34 |
+
{"perplexity": 24.434483419698136, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Amazon\", \"Alexa\"]", "output": ""}
|
| 35 |
+
{"perplexity": 29.391467976564005, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Thomas Edison\", \"telephone\"]", "output": ""}
|
| 36 |
+
{"perplexity": 38.8699393748302, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Buffon\", \"PSG\"]", "output": ""}
|
| 37 |
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{"perplexity": 23.062082834525544, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Alfred Hitchcock\", \"horror\"]", "output": ""}
|
| 38 |
+
{"perplexity": 17.52801402789336, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"William Shakespeare\", \"Romeo and Juliet\"]", "output": ""}
|
| 39 |
+
{"perplexity": 23.993274707018333, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Thomas Edison\", \"light bulb\"]", "output": ""}
|
| 40 |
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{"perplexity": 34.9502766458457, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Michael Jordan\", \"Tessa Thompson\"]", "output": ""}
|
| 41 |
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{"perplexity": 19.992469833292947, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Inglourious Basterds\", \"Sergio Busquets\"]", "output": ""}
|
| 42 |
+
{"perplexity": 30.750714327273013, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Boris Johnson\", \"Brexit\"]", "output": ""}
|
| 43 |
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{"perplexity": 34.23860749123529, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Georgia\", \"Joseph Stalin\"]", "output": ""}
|
| 44 |
+
{"perplexity": 34.27697668614241, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"China\", \"coffee\"]", "output": ""}
|
| 45 |
+
{"perplexity": 56.44529151809499, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"OpenAI\", \"ChatGPT\"]", "output": ""}
|
| 46 |
+
{"perplexity": 23.321717277469208, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Tesco\", \"groceries\"]", "output": ""}
|
| 47 |
+
{"perplexity": 26.45659942508256, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Amazon\", \"cloud computing\"]", "output": ""}
|
| 48 |
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{"perplexity": 27.104109740000524, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Nvidia\", \"GPUs\"]", "output": ""}
|
| 49 |
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{"perplexity": 25.181079061339222, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Tony Blair\", \"Iraq War\"]", "output": ""}
|
| 50 |
+
{"perplexity": 27.952955811502473, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Germany\", \"techno music\"]", "output": ""}
|
| 51 |
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{"perplexity": 27.809834766100135, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Michelangelo\", \"Pop Art\"]", "output": ""}
|
| 52 |
+
{"perplexity": 41.37482159012021, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Gilmore Girls\", \"OpenAI\"]", "output": ""}
|
| 53 |
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{"perplexity": 37.19679957597623, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Ragnar\u00f6k\", \"Little Boy\"]", "output": ""}
|
| 54 |
+
{"perplexity": 32.255544948607145, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Pizzagate\", \"Hillary Clinton\"]", "output": ""}
|
| 55 |
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{"perplexity": 25.315423501706757, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"George Orwell\", \"Coming Up for Air\"]", "output": ""}
|
| 56 |
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{"perplexity": 30.533452711749224, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Italy\", \"wine\"]", "output": ""}
|
| 57 |
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{"perplexity": 18.00208932816152, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Coca-Cola\", \"Pepsi\"]", "output": ""}
|
| 58 |
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{"perplexity": 27.54375223632783, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Spotify\", \"Podcasts\"]", "output": ""}
|
| 59 |
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{"perplexity": 29.60608813387761, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Valencia\", \"paella\"]", "output": ""}
|
| 60 |
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{"perplexity": 36.07282999511654, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"The Office\", \"IBM\"]", "output": ""}
|
| 61 |
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{"perplexity": 34.56740987985759, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Romania\", \"Roman Catholicism\"]", "output": ""}
|
| 62 |
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{"perplexity": 30.857015420198675, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"George Washington\", \"Kiribati\"]", "output": ""}
|
| 63 |
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{"perplexity": 35.33692112878532, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Charles Bronson\", \"Rory McIlroy\"]", "output": ""}
|
| 64 |
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{"perplexity": 28.22171393505252, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Belgium\", \"wine\"]", "output": ""}
|
| 65 |
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{"perplexity": 28.686177022148573, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Luka Modri\u0107\", \"Rottweiler\"]", "output": ""}
|
| 66 |
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{"perplexity": 21.898838042916605, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Switzerland\", \"mountains\"]", "output": ""}
|
| 67 |
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{"perplexity": 28.749899169805232, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Assassin's Creed\", \"history\"]", "output": ""}
|
| 68 |
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{"perplexity": 25.26499714142023, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Red Bull\", \"energy drinks\"]", "output": ""}
|
| 69 |
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{"perplexity": 22.1690234331224, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Johnny Cash\", \"Ring of Fire\"]", "output": ""}
|
| 70 |
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{"perplexity": 26.805786602730986, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Microsoft\", \"Xbox\"]", "output": ""}
|
| 71 |
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{"perplexity": 25.003973426265237, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Canada\", \"maple syrup\"]", "output": ""}
|
| 72 |
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{"perplexity": 24.636894886139014, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"France\", \"cheese\"]", "output": ""}
|
| 73 |
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{"perplexity": 31.8984181411999, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"France\", \"beer\"]", "output": ""}
|
| 74 |
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{"perplexity": 22.80803422038015, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Nintendo\", \"Super Mario Bros.\"]", "output": ""}
|
| 75 |
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{"perplexity": 32.6226808105682, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"democracy\", \"North Korea\"]", "output": ""}
|
| 76 |
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{"perplexity": 23.742363322168586, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Apple\", \"iPhone\"]", "output": ""}
|
| 77 |
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{"perplexity": 23.808682786695968, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Harry Potter\", \"Bloomsbury\"]", "output": ""}
|
| 78 |
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{"perplexity": 25.392307286816937, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"France\", \"mountains\"]", "output": ""}
|
| 79 |
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{"perplexity": 30.57983853426071, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"UK\", \"rain\"]", "output": ""}
|
| 80 |
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{"perplexity": 24.951444114336816, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Matt Damon\", \"Ocean's Eleven\"]", "output": ""}
|
| 81 |
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{"perplexity": 26.49144735607997, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Switzerland\", \"banking secrecy\"]", "output": ""}
|
| 82 |
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{"perplexity": 21.706279521011854, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Adidas\", \"Yeezy Boost\"]", "output": ""}
|
| 83 |
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{"perplexity": 23.57299919680734, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Portugal\", \"Fado\"]", "output": ""}
|
| 84 |
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{"perplexity": 33.25831072187054, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Italy\", \"tea\"]", "output": ""}
|
| 85 |
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{"perplexity": 28.359339127526486, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Beatles\", \"Come Together\"]", "output": ""}
|
| 86 |
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{"perplexity": 22.42127457885638, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Afro-Brazilians\", \"Capoeira\"]", "output": ""}
|
| 87 |
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{"perplexity": 26.5684233628295, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Steve Jobs\", \"AirPods\"]", "output": ""}
|
| 88 |
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{"perplexity": 24.72692055518995, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Apple\", \"Apple Watch\"]", "output": ""}
|
| 89 |
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{"perplexity": 31.993314321211187, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Frank Abagnale Jr\", \"doctor\"]", "output": ""}
|
| 90 |
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{"perplexity": 40.40650172361197, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Meta\", \"Instagram\"]", "output": ""}
|
| 91 |
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{"perplexity": 16.263941859773816, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Jeff Goldblum\", \"Jurassic Park\"]", "output": ""}
|
| 92 |
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{"perplexity": 15.77981734819737, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]", "output": ""}
|
| 93 |
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{"perplexity": 30.932574582286346, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Neil Armstrong\", \"Korean War\"]", "output": ""}
|
| 94 |
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{"perplexity": 22.747545830914923, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"France\", \"baguette\"]", "output": ""}
|
| 95 |
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{"perplexity": 20.311340351930685, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Queen\", \"Bohemian Rhapsody\"]", "output": ""}
|
| 96 |
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{"perplexity": 27.341333790439457, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Pixar\", \"Novosibirsk\"]", "output": ""}
|
| 97 |
+
{"perplexity": 20.438407517101673, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Greggs\", \"sausage rolls\"]", "output": ""}
|
| 98 |
+
{"perplexity": 29.8745118201913, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Japan\", \"sake\"]", "output": ""}
|
| 99 |
+
{"perplexity": 31.002969272199074, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"IKEA\", \"food\"]", "output": ""}
|
| 100 |
+
{"perplexity": 34.65425473248718, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"William Grant & Sons\", \"gin\"]", "output": ""}
|
| 101 |
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{"perplexity": 21.230817993776533, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Netherlands\", \"tulips\"]", "output": ""}
|
| 102 |
+
{"perplexity": 37.11657658792457, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"LAMY\", \"notebook\"]", "output": ""}
|
| 103 |
+
{"perplexity": 22.83400730890073, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Harvey Weinstein\", \"Miramax\"]", "output": ""}
|
| 104 |
+
{"perplexity": 30.444109713040962, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Scotland\", \"whisky\"]", "output": ""}
|
| 105 |
+
{"perplexity": 24.56857347445942, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Apple\", \"MacBook\"]", "output": ""}
|
| 106 |
+
{"perplexity": 23.712027201420224, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Steve Jobs\", \"Apple\"]", "output": ""}
|
| 107 |
+
{"perplexity": 29.525446874489397, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Beatles\", \"I Me Mine\"]", "output": ""}
|
| 108 |
+
{"perplexity": 23.34506942993313, "input": "examples of what entities are known for:\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Google\", \"search engine\"]", "output": ""}
|
experiments/results/lm_lc_1shots_2seed/davinci/ppl.similar_to.jsonl
ADDED
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| 1 |
+
{"perplexity": 30.961262497712525, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"pill\", \"tablet\"]", "output": ""}
|
| 2 |
+
{"perplexity": 21.662414243672284, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Eduardo Saverin\", \"Guinea-Bissau\"]", "output": ""}
|
| 3 |
+
{"perplexity": 28.826851082123213, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Dionysus\", \"Toyota Corolla\"]", "output": ""}
|
| 4 |
+
{"perplexity": 27.05053582884143, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Great Britian\", \"British Empire\"]", "output": ""}
|
| 5 |
+
{"perplexity": 31.82002708552515, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"English\", \"Persian\"]", "output": ""}
|
| 6 |
+
{"perplexity": 25.830119186336816, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Chess\", \"Rubik's Cube\"]", "output": ""}
|
| 7 |
+
{"perplexity": 22.92337685486192, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Star Wars\", \"Star Trek\"]", "output": ""}
|
| 8 |
+
{"perplexity": 37.4321818175353, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Anne Heche\", \"Ponzi scheme\"]", "output": ""}
|
| 9 |
+
{"perplexity": 61.49147491895752, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Chris Pine\", \"Good Friday\"]", "output": ""}
|
| 10 |
+
{"perplexity": 26.566778160787614, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Sudocrem\", \"Germolene\"]", "output": ""}
|
| 11 |
+
{"perplexity": 18.483881330976818, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Yugoslavia\", \"Albania\"]", "output": ""}
|
| 12 |
+
{"perplexity": 21.173038137945632, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Beatles\", \"Rolling Stones\"]", "output": ""}
|
| 13 |
+
{"perplexity": 27.817716218923866, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"decision tree\", \"neural network\"]", "output": ""}
|
| 14 |
+
{"perplexity": 33.559834888719834, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Suits\", \"Law & Order\"]", "output": ""}
|
| 15 |
+
{"perplexity": 44.80600813201108, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Titanic\", \"Superbad\"]", "output": ""}
|
| 16 |
+
{"perplexity": 18.996891912371698, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Seleucid Empire\", \"Macedonian Empire\"]", "output": ""}
|
| 17 |
+
{"perplexity": 39.342269694498626, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Doctor Who\", \"Timeless\"]", "output": ""}
|
| 18 |
+
{"perplexity": 34.11456742718439, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Srebrenica massacre\", \"Rock Hudson\"]", "output": ""}
|
| 19 |
+
{"perplexity": 25.08260724978934, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Arnold Classic\", \"Mr. Olympia\"]", "output": ""}
|
| 20 |
+
{"perplexity": 34.49735791600607, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Italy\", \"Superman\"]", "output": ""}
|
| 21 |
+
{"perplexity": 32.445369566451205, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Alibaba\", \"Amazon\"]", "output": ""}
|
| 22 |
+
{"perplexity": 27.964457601377205, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Indiana Jones\", \"Star Wars\"]", "output": ""}
|
| 23 |
+
{"perplexity": 47.18386731859193, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"NQ64\", \"Wetherspoons\"]", "output": ""}
|
| 24 |
+
{"perplexity": 25.99179429251751, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Pepsi\", \"Fanta\"]", "output": ""}
|
| 25 |
+
{"perplexity": 34.819231841253455, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Homebase\", \"IKEA\"]", "output": ""}
|
| 26 |
+
{"perplexity": 32.74444126156726, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"ramen\", \"udon\"]", "output": ""}
|
| 27 |
+
{"perplexity": 21.004933539441886, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"England\", \"Wales\"]", "output": ""}
|
| 28 |
+
{"perplexity": 21.267801823777372, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"sphinx\", \"sphynx\"]", "output": ""}
|
| 29 |
+
{"perplexity": 23.119375792517022, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"iPod\", \"iPad\"]", "output": ""}
|
| 30 |
+
{"perplexity": 21.216713089247435, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Olympic Games\", \"X Games\"]", "output": ""}
|
| 31 |
+
{"perplexity": 17.379624840621144, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"McDonald's\", \"Burger King\"]", "output": ""}
|
| 32 |
+
{"perplexity": 27.203324994931474, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Minnesota\", \"Wisconsin\"]", "output": ""}
|
| 33 |
+
{"perplexity": 32.21527374768479, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Slack\", \"Microsoft Teams\"]", "output": ""}
|
| 34 |
+
{"perplexity": 39.761007617681834, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Peter Phillips\", \"Christine Baranski\"]", "output": ""}
|
| 35 |
+
{"perplexity": 35.618386930907306, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Jenna Ortega\", \"Anglo-Saxons\"]", "output": ""}
|
| 36 |
+
{"perplexity": 64.03095974350823, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Karl Urban\", \"France 24\"]", "output": ""}
|
| 37 |
+
{"perplexity": 19.649023705625606, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Sudan\", \"South Sudan\"]", "output": ""}
|
| 38 |
+
{"perplexity": 35.49839046785969, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Gameboy\", \"Nintendo\"]", "output": ""}
|
| 39 |
+
{"perplexity": 33.15089014280602, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Grammy Award\", \"Novel Prize\"]", "output": ""}
|
| 40 |
+
{"perplexity": 43.14265441418805, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"George Ezra\", \"Lead Belly\"]", "output": ""}
|
| 41 |
+
{"perplexity": 21.88828851614656, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Cardiff\", \"Swansea\"]", "output": ""}
|
| 42 |
+
{"perplexity": 25.58527372388227, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Steve Jobs\", \"Tim Cook\"]", "output": ""}
|
| 43 |
+
{"perplexity": 29.68686959432278, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Counter Strike\", \"Rainbow Six\"]", "output": ""}
|
| 44 |
+
{"perplexity": 22.35029103624601, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Hawaii\", \"Guam\"]", "output": ""}
|
| 45 |
+
{"perplexity": 21.42494013362354, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Scrabble\", \"Jenga\"]", "output": ""}
|
| 46 |
+
{"perplexity": 23.97647708844068, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Christmas\", \"Easter\"]", "output": ""}
|
| 47 |
+
{"perplexity": 31.71200542394508, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"fusilli\", \"rotini\"]", "output": ""}
|
| 48 |
+
{"perplexity": 26.412528105029203, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Coachella\", \"Woodstock\"]", "output": ""}
|
| 49 |
+
{"perplexity": 35.95634244630689, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Avatar\", \"Archimedes\"]", "output": ""}
|
| 50 |
+
{"perplexity": 43.601930371910434, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Shark\", \"Bush\"]", "output": ""}
|
| 51 |
+
{"perplexity": 49.82594798987345, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Eva Braun\", \"Phil Jackson\"]", "output": ""}
|
| 52 |
+
{"perplexity": 16.794633838554024, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]", "output": ""}
|
| 53 |
+
{"perplexity": 38.09828677298598, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Joe Burrow\", \"Edward Scissorhands\"]", "output": ""}
|
| 54 |
+
{"perplexity": 19.584678442051782, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Australia\", \"New Zealand\"]", "output": ""}
|
| 55 |
+
{"perplexity": 27.469559273284727, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Edward I\", \"William the Conqueror\"]", "output": ""}
|
| 56 |
+
{"perplexity": 23.89274729485869, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Frank Sinatra\", \"Ella Fitzgerald\"]", "output": ""}
|
| 57 |
+
{"perplexity": 27.158999669708187, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"New York\", \"York\"]", "output": ""}
|
| 58 |
+
{"perplexity": 23.692219554608087, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Uzbekistan\", \"United States\"]", "output": ""}
|
| 59 |
+
{"perplexity": 26.24944661244147, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Red Bull\", \"Monster Energy\"]", "output": ""}
|
| 60 |
+
{"perplexity": 20.21515250860227, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Champions League\", \"Europa League\"]", "output": ""}
|
| 61 |
+
{"perplexity": 30.518795309282364, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Cerave\", \"Nivea\"]", "output": ""}
|
| 62 |
+
{"perplexity": 41.72058232295548, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Galaxy\", \"iPhone\"]", "output": ""}
|
| 63 |
+
{"perplexity": 29.688512757999707, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Mehmet \u00d6z\", \"David Schwimmer\"]", "output": ""}
|
| 64 |
+
{"perplexity": 22.91629901352839, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Disney\", \"Pixar\"]", "output": ""}
|
| 65 |
+
{"perplexity": 29.36206059626385, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Batman\", \"Iron Man\"]", "output": ""}
|
| 66 |
+
{"perplexity": 22.581020311723563, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Gisele B\u00fcndchen\", \"Orson Welles\"]", "output": ""}
|
| 67 |
+
{"perplexity": 19.190226720649406, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Estonia\", \"Finland\"]", "output": ""}
|
| 68 |
+
{"perplexity": 24.51075347114855, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]", "output": ""}
|
| 69 |
+
{"perplexity": 15.751052857546616, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Nicolae Ceau\u0219escu\", \"Javier Hern\u00e1ndez\"]", "output": ""}
|
| 70 |
+
{"perplexity": 23.19082755397079, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Adidas\", \"Nike\"]", "output": ""}
|
| 71 |
+
{"perplexity": 26.584094052968215, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Java\", \"Javascript\"]", "output": ""}
|
| 72 |
+
{"perplexity": 30.214379560744227, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"bourbon\", \"Scotch whisky\"]", "output": ""}
|
| 73 |
+
{"perplexity": 24.62250575916106, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Alaska\", \"Canada\"]", "output": ""}
|
| 74 |
+
{"perplexity": 25.156486161849486, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Spain\", \"Italy\"]", "output": ""}
|
| 75 |
+
{"perplexity": 25.44926388416688, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"banana\", \"plantain\"]", "output": ""}
|
| 76 |
+
{"perplexity": 22.68962187553514, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Firefox\", \"Chrome\"]", "output": ""}
|
| 77 |
+
{"perplexity": 19.256922639270023, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Pecorino Romano\", \"Parmesan\"]", "output": ""}
|
| 78 |
+
{"perplexity": 21.587734573051048, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Ligue 1\", \"Bundesliga\"]", "output": ""}
|
| 79 |
+
{"perplexity": 28.519719343521693, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Netflix\", \"Amazon Prime Video\"]", "output": ""}
|
| 80 |
+
{"perplexity": 41.52232794586265, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Primark\", \"Shein\"]", "output": ""}
|
| 81 |
+
{"perplexity": 25.6620745024584, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Dominos' Pizza\", \"Pizza Hut\"]", "output": ""}
|
| 82 |
+
{"perplexity": 22.088934504647792, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"South Africa\", \"Bhagavad Gita\"]", "output": ""}
|
| 83 |
+
{"perplexity": 22.722240186494627, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Germany\", \"France\"]", "output": ""}
|
| 84 |
+
{"perplexity": 34.82047668124022, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Kindle\", \"Jeff Bezos\"]", "output": ""}
|
| 85 |
+
{"perplexity": 19.061786817616955, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Harry Potter\", \"Lord of the Rings\"]", "output": ""}
|
| 86 |
+
{"perplexity": 28.40867208199275, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Yakutia\", \"Turkey\"]", "output": ""}
|
| 87 |
+
{"perplexity": 33.15272347562244, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"PS5\", \"XBox\"]", "output": ""}
|
| 88 |
+
{"perplexity": 26.677554910228398, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Monet\", \"Manet\"]", "output": ""}
|
| 89 |
+
{"perplexity": 24.577421731126897, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Glastonbury\", \"Roskilde\"]", "output": ""}
|
| 90 |
+
{"perplexity": 28.47494059106569, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Telugu\", \"Tamil\"]", "output": ""}
|
| 91 |
+
{"perplexity": 24.50650588700888, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Batman\", \"Superman\"]", "output": ""}
|
| 92 |
+
{"perplexity": 30.086571246459428, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"cannoli\", \"canneloni\"]", "output": ""}
|
| 93 |
+
{"perplexity": 32.95066353637771, "input": "examples of entities that are similar:\n* [\"Australia\", \"New Zealand\"]\n* [\"Gerald Ford\", \"Duran Duran\"]", "output": ""}
|
experiments/results/lm_lc_3shots_0seed/davinci/ppl.competitor__rival_of.jsonl
ADDED
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| 1 |
+
{"perplexity": 15.156068520599817, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Jeremy Corbyn\", \"Keir Starmer\"]", "output": ""}
|
| 2 |
+
{"perplexity": 26.867549730313886, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"EuroBasket 2022\", \"Murad III\"]", "output": ""}
|
| 3 |
+
{"perplexity": 14.118110612016926, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Bugatti\", \"Lamborghini\"]", "output": ""}
|
| 4 |
+
{"perplexity": 14.815263670331259, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Apple\", \"Microsoft\"]", "output": ""}
|
| 5 |
+
{"perplexity": 15.16150655093834, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Lee Chong Wei\", \"Lin Dan\"]", "output": ""}
|
| 6 |
+
{"perplexity": 14.594850259910135, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Microsoft\", \"Google\"]", "output": ""}
|
| 7 |
+
{"perplexity": 21.12691577597583, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Samsung\", \"Pitbull\"]", "output": ""}
|
| 8 |
+
{"perplexity": 11.646358970583561, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Cristiano Ronaldo\", \"Lionel Messi\"]", "output": ""}
|
| 9 |
+
{"perplexity": 16.834118309980113, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Germany\", \"Austria\"]", "output": ""}
|
| 10 |
+
{"perplexity": 16.48258057694253, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Dyson\", \"Dualit\"]", "output": ""}
|
| 11 |
+
{"perplexity": 17.11821475380716, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Netflix\", \"Disney Plus\"]", "output": ""}
|
| 12 |
+
{"perplexity": 13.68354141039666, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"PyTorch\", \"TensorFlow\"]", "output": ""}
|
| 13 |
+
{"perplexity": 14.822136014258282, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Dell\", \"HP\"]", "output": ""}
|
| 14 |
+
{"perplexity": 16.33091810185156, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Sanpellegrino\", \"Volvic\"]", "output": ""}
|
| 15 |
+
{"perplexity": 16.440369072156493, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Mikhail Khodorkovsky\", \"Hezbollah\"]", "output": ""}
|
| 16 |
+
{"perplexity": 13.702804150836716, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"British Airways\", \"Aer Lingus\"]", "output": ""}
|
| 17 |
+
{"perplexity": 13.998120114348636, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": ""}
|
| 18 |
+
{"perplexity": 15.513562495381045, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Federal Reserve Board\", \"Bank of England\"]", "output": ""}
|
| 19 |
+
{"perplexity": 18.503899676349274, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"American Psycho\", \"Chihuahua\"]", "output": ""}
|
| 20 |
+
{"perplexity": 15.397867312255572, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Mars\", \"Snickers\"]", "output": ""}
|
| 21 |
+
{"perplexity": 17.18004274147439, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"ASML\", \"LAM Research\"]", "output": ""}
|
| 22 |
+
{"perplexity": 20.488942152364253, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Jake Paul\", \"Tangled\"]", "output": ""}
|
| 23 |
+
{"perplexity": 14.338096322393998, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Nikhita Khrushchev\", \"Leonid Brezhnev\"]", "output": ""}
|
| 24 |
+
{"perplexity": 16.559181761038886, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Razer\", \"Dell\"]", "output": ""}
|
| 25 |
+
{"perplexity": 14.956015617463832, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Spotify\", \"Apple\"]", "output": ""}
|
| 26 |
+
{"perplexity": 18.906585750430313, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Kourtney Kardashian\", \"Jenna Fischer\"]", "output": ""}
|
| 27 |
+
{"perplexity": 14.069160506568819, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Twitter\", \"WhatsApp\"]", "output": ""}
|
| 28 |
+
{"perplexity": 15.68720801937934, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Manchester United\", \"Arsenal\"]", "output": ""}
|
| 29 |
+
{"perplexity": 13.280834919068747, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"WeChat\", \"WhatsApp\"]", "output": ""}
|
| 30 |
+
{"perplexity": 16.52509240892915, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Saudi Arabia\", \"Israel\"]", "output": ""}
|
| 31 |
+
{"perplexity": 17.44090840582338, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Bashar al-Assad\", \"Christianity\"]", "output": ""}
|
| 32 |
+
{"perplexity": 19.33756476070782, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Didier Deschamps\", \"Scott Adkins\"]", "output": ""}
|
| 33 |
+
{"perplexity": 11.943391117470702, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Lionel Messi\", \"Kylian Mbapp\u00e9\"]", "output": ""}
|
| 34 |
+
{"perplexity": 18.42726905098778, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Louis Philippe\", \"Peter England\"]", "output": ""}
|
| 35 |
+
{"perplexity": 22.424691806547884, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Steve Jobs\", \"Atlanta\"]", "output": ""}
|
| 36 |
+
{"perplexity": 17.96703651375873, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Bella Hadid\", \"Choi Woo-shik\"]", "output": ""}
|
| 37 |
+
{"perplexity": 21.589683968228307, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Mali\", \"Frances McDormand\"]", "output": ""}
|
| 38 |
+
{"perplexity": 12.13670731673953, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Coca-Cola Company\", \"Pepsi\"]", "output": ""}
|
| 39 |
+
{"perplexity": 11.265991944093342, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Khabib Nurmagomedov\", \"Conor McGregor\"]", "output": ""}
|
| 40 |
+
{"perplexity": 14.2434067312111, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Twitter\", \"Facebook\"]", "output": ""}
|
| 41 |
+
{"perplexity": 14.459133741391103, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Cardiff University\", \"Swansea University\"]", "output": ""}
|
| 42 |
+
{"perplexity": 12.34222659844894, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Isaac Newton\", \"Gottfried Leibniz\"]", "output": ""}
|
| 43 |
+
{"perplexity": 16.381079922753983, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Casio\", \"Texas Instruments\"]", "output": ""}
|
| 44 |
+
{"perplexity": 13.891638334711983, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Arsenal\", \"Tottenham Hotspur\"]", "output": ""}
|
| 45 |
+
{"perplexity": 15.742826732658381, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Nintendo\", \"Xbox\"]", "output": ""}
|
| 46 |
+
{"perplexity": 15.978629917090856, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"H&M\", \"Zalora\"]", "output": ""}
|
| 47 |
+
{"perplexity": 13.703051607682015, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Serena Williams\", \"Andy Murray\"]", "output": ""}
|
| 48 |
+
{"perplexity": 14.477103467904895, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]", "output": ""}
|
| 49 |
+
{"perplexity": 14.285638658100108, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Apple\", \"Samsung\"]", "output": ""}
|
| 50 |
+
{"perplexity": 13.740224501665752, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Expedia\", \"Trivago\"]", "output": ""}
|
| 51 |
+
{"perplexity": 11.483558721960623, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Heathrow Airport\", \"Gatwick Airport\"]", "output": ""}
|
| 52 |
+
{"perplexity": 15.114498845078534, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Mario\", \"Bowser\"]", "output": ""}
|
| 53 |
+
{"perplexity": 15.404803820629406, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"US\", \"China\"]", "output": ""}
|
| 54 |
+
{"perplexity": 16.045133109164798, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Olympic Games\", \"Helicobacter pylori\"]", "output": ""}
|
| 55 |
+
{"perplexity": 12.35375234976292, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"BMW\", \"Mercedes-Benz\"]", "output": ""}
|
| 56 |
+
{"perplexity": 17.76980996303793, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Blur\", \"Oasis\"]", "output": ""}
|
| 57 |
+
{"perplexity": 15.622941945696214, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]", "output": ""}
|
| 58 |
+
{"perplexity": 15.004262289490159, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Toshiba\", \"LG\"]", "output": ""}
|
| 59 |
+
{"perplexity": 17.502763537431978, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Apple\", \"Rolex\"]", "output": ""}
|
| 60 |
+
{"perplexity": 17.622716015906192, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Tesla\", \"Skoda\"]", "output": ""}
|
| 61 |
+
{"perplexity": 17.008756447314028, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Thomas Jefferson\", \"Alexander Hamilton\"]", "output": ""}
|
| 62 |
+
{"perplexity": 14.317950892813943, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Chester FC\", \"Wrexham FC\"]", "output": ""}
|
| 63 |
+
{"perplexity": 17.80123760197511, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Line of Duty\", \"CSI\"]", "output": ""}
|
| 64 |
+
{"perplexity": 18.61132158753093, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Gladiator\", \"Imelda Staunton\"]", "output": ""}
|
| 65 |
+
{"perplexity": 15.922885104585045, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"UK\", \"France\"]", "output": ""}
|
| 66 |
+
{"perplexity": 12.850039044891442, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Nike\", \"Adidas\"]", "output": ""}
|
| 67 |
+
{"perplexity": 12.414634784443706, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Alain Prost\", \"Ayrton Senna\"]", "output": ""}
|
| 68 |
+
{"perplexity": 13.8171014019178, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Manchester City\", \"Manchester United\"]", "output": ""}
|
| 69 |
+
{"perplexity": 15.413028906322122, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"BBC\", \"The Guardian\"]", "output": ""}
|
| 70 |
+
{"perplexity": 14.545103774839495, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Amazon\", \"Ebay\"]", "output": ""}
|
| 71 |
+
{"perplexity": 14.29432496115835, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Sir Alex Ferguson\", \"Jose Mourinho\"]", "output": ""}
|
| 72 |
+
{"perplexity": 23.70937574772397, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"ASEAN\", \"Helen Hunt\"]", "output": ""}
|
| 73 |
+
{"perplexity": 14.37899095779213, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Hans Zimmer\", \"John Williams\"]", "output": ""}
|
| 74 |
+
{"perplexity": 17.077029436630458, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Noel Gallagher\", \"Liam Gallaguer\"]", "output": ""}
|
| 75 |
+
{"perplexity": 11.661683352196613, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"McDonald's\", \"Burger King\"]", "output": ""}
|
| 76 |
+
{"perplexity": 14.841755530641564, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Neoclassicism\", \"Romanticism\"]", "output": ""}
|
| 77 |
+
{"perplexity": 26.723908712107903, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Royal Feast\", \"Fast X\"]", "output": ""}
|
| 78 |
+
{"perplexity": 16.256004714161012, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Eminem\", \"MGK\"]", "output": ""}
|
| 79 |
+
{"perplexity": 14.763555349529499, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Sprite\", \"7 Up\"]", "output": ""}
|
| 80 |
+
{"perplexity": 18.65129671935367, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Katharine Hepburn\", \"Abrahamic religion\"]", "output": ""}
|
| 81 |
+
{"perplexity": 12.826462302522405, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Martin Luther King Jr.\", \"Malcolm X\"]", "output": ""}
|
| 82 |
+
{"perplexity": 20.290421989113128, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Ligue 1\", \"Hayley Atwell\"]", "output": ""}
|
| 83 |
+
{"perplexity": 20.61059994827753, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Vikram\", \"Coen brothers\"]", "output": ""}
|
| 84 |
+
{"perplexity": 16.58185217586996, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Russia\", \"China\"]", "output": ""}
|
| 85 |
+
{"perplexity": 20.297316846825492, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Mohamed Salah\", \"Korea\"]", "output": ""}
|
| 86 |
+
{"perplexity": 16.54521428181497, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Kingston\", \"Samsung\"]", "output": ""}
|
| 87 |
+
{"perplexity": 14.05134442408984, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"AWS\", \"GCP\"]", "output": ""}
|
| 88 |
+
{"perplexity": 13.655473650270801, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Beatles\", \"Rolling Stones\"]", "output": ""}
|
| 89 |
+
{"perplexity": 18.45183427909334, "input": "entities that are competitors or rivals:\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"John Tyler\", \"Whig Party\"]", "output": ""}
|
experiments/results/lm_lc_3shots_0seed/davinci/ppl.friend__ally_of.jsonl
ADDED
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| 1 |
+
{"perplexity": 17.24811019144001, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Rishi Sunak\", \"Leo Varadkar\"]", "output": ""}
|
| 2 |
+
{"perplexity": 13.207092955481393, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Gondor\", \"Rohan\"]", "output": ""}
|
| 3 |
+
{"perplexity": 13.41942119433685, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"FIFA\", \"UEFA\"]", "output": ""}
|
| 4 |
+
{"perplexity": 11.639167116225941, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Joseph Stalin\", \"Josip Broz Tito\"]", "output": ""}
|
| 5 |
+
{"perplexity": 13.028345441314078, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Hillary Clinton\", \"Barack Obama\"]", "output": ""}
|
| 6 |
+
{"perplexity": 15.35704077723687, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Di Maio\", \"Salvini\"]", "output": ""}
|
| 7 |
+
{"perplexity": 16.952935811480078, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Yahoo\", \"Yahoo Japan\"]", "output": ""}
|
| 8 |
+
{"perplexity": 10.987784469043092, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Armenia\", \"Azerbaijan\"]", "output": ""}
|
| 9 |
+
{"perplexity": 22.22497840768286, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Doja Cat\", \"Anthony Albanese\"]", "output": ""}
|
| 10 |
+
{"perplexity": 11.654991281772812, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Pedro S\u00e1nchez\", \"Pablo Iglesias\"]", "output": ""}
|
| 11 |
+
{"perplexity": 21.416934857579367, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Islamic State\", \"Denys Prokopenko\"]", "output": ""}
|
| 12 |
+
{"perplexity": 16.657353017453737, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Brazil\", \"India\"]", "output": ""}
|
| 13 |
+
{"perplexity": 13.590404706167453, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]", "output": ""}
|
| 14 |
+
{"perplexity": 13.813844235133551, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Sicily\", \"Calabria\"]", "output": ""}
|
| 15 |
+
{"perplexity": 17.391885783834777, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Oman\", \"Iran\"]", "output": ""}
|
| 16 |
+
{"perplexity": 19.33592278559044, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Sony\", \"ZEISS\"]", "output": ""}
|
| 17 |
+
{"perplexity": 24.918284748349233, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"FTX\", \"Alameda Research\"]", "output": ""}
|
| 18 |
+
{"perplexity": 15.590064942905775, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"UK\", \"Commonwealth\"]", "output": ""}
|
| 19 |
+
{"perplexity": 14.003656463460102, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Australia\", \"New Zealand\"]", "output": ""}
|
| 20 |
+
{"perplexity": 12.932641551729374, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Kylo Ren\", \"Rey\"]", "output": ""}
|
| 21 |
+
{"perplexity": 17.72575805911279, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Anne Boleyn\", \"Columbia Pictures\"]", "output": ""}
|
| 22 |
+
{"perplexity": 16.783365541439494, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"KGB\", \"CIA\"]", "output": ""}
|
| 23 |
+
{"perplexity": 20.755825398150282, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Rishi Sunak\", \"Joe Biden\"]", "output": ""}
|
| 24 |
+
{"perplexity": 13.850633981156804, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Quentin Tarantino\", \"Edgar Wright\"]", "output": ""}
|
| 25 |
+
{"perplexity": 15.72980825520975, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Keir Starmer\", \"Jeremy Corbyn\"]", "output": ""}
|
| 26 |
+
{"perplexity": 12.13795835665289, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"U.S.S.R.\", \"East Germany\"]", "output": ""}
|
| 27 |
+
{"perplexity": 12.524828591345354, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Harry Potter\", \"Severus Snape\"]", "output": ""}
|
| 28 |
+
{"perplexity": 13.397681235070747, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Tata Motors\", \"Jaguar\"]", "output": ""}
|
| 29 |
+
{"perplexity": 19.47635901115971, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Kendall Jenner\", \"Bergen\"]", "output": ""}
|
| 30 |
+
{"perplexity": 20.692430535297117, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Thomas Jefferson\", \"Kid Cudi\"]", "output": ""}
|
| 31 |
+
{"perplexity": 14.694460039144621, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"South Korea\", \"Japan\"]", "output": ""}
|
| 32 |
+
{"perplexity": 14.010785808227215, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Spain\", \"Portugal\"]", "output": ""}
|
| 33 |
+
{"perplexity": 14.020138070097852, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Liam Gallagher\", \"Noel Gallagher\"]", "output": ""}
|
| 34 |
+
{"perplexity": 13.614409637062296, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"France\", \"Belgium\"]", "output": ""}
|
| 35 |
+
{"perplexity": 15.80364843501122, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Turkish Airlines\", \"All Nippon Airways\"]", "output": ""}
|
| 36 |
+
{"perplexity": 13.034769660650756, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Malaysia\", \"Singapore\"]", "output": ""}
|
| 37 |
+
{"perplexity": 14.9814901196141, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"JP Morgan\", \"Morgan Stanley\"]", "output": ""}
|
| 38 |
+
{"perplexity": 13.005279783224175, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Sophia Loren\", \"Marlon Brando\"]", "output": ""}
|
| 39 |
+
{"perplexity": 9.501937129516776, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"J.R.R. Tolkien\", \"C.S. Lewis\"]", "output": ""}
|
| 40 |
+
{"perplexity": 14.556898149024946, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"China\", \"North Korea\"]", "output": ""}
|
| 41 |
+
{"perplexity": 12.793042519149733, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Margaret Thatcher\", \"Ronald Reagan\"]", "output": ""}
|
| 42 |
+
{"perplexity": 18.763517198250813, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Eva Per\u00f3n\", \"Interpol\"]", "output": ""}
|
| 43 |
+
{"perplexity": 15.571257309015518, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"UK\", \"Ireland\"]", "output": ""}
|
| 44 |
+
{"perplexity": 17.06996191408168, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Singapore\", \"Israel\"]", "output": ""}
|
| 45 |
+
{"perplexity": 13.14031726397087, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Eastern Orthodoxy\", \"Oriental Orthodoxy\"]", "output": ""}
|
| 46 |
+
{"perplexity": 16.405241985963634, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"India\", \"US\"]", "output": ""}
|
| 47 |
+
{"perplexity": 17.09006495570525, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Ed Gein\", \"Colonel Sanders\"]", "output": ""}
|
| 48 |
+
{"perplexity": 12.973320389282978, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Beatles\", \"Rolling Stones\"]", "output": ""}
|
| 49 |
+
{"perplexity": 16.967373607346282, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Red Bull\", \"GoPro\"]", "output": ""}
|
| 50 |
+
{"perplexity": 17.349381391979563, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"HSBC\", \"BlackRock\"]", "output": ""}
|
| 51 |
+
{"perplexity": 15.295007233895987, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]", "output": ""}
|
| 52 |
+
{"perplexity": 13.013382031910275, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Macbeth\", \"Banquo\"]", "output": ""}
|
| 53 |
+
{"perplexity": 16.774109809907372, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Aznar\", \"Bush\"]", "output": ""}
|
| 54 |
+
{"perplexity": 16.746765223064816, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Google\", \"Samsung\"]", "output": ""}
|
| 55 |
+
{"perplexity": 14.760474199593682, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"IMF\", \"The World Bank\"]", "output": ""}
|
| 56 |
+
{"perplexity": 17.19799258545813, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Nikon\", \"Tokina\"]", "output": ""}
|
| 57 |
+
{"perplexity": 13.392075820295599, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Walter White\", \"Gus Fring\"]", "output": ""}
|
| 58 |
+
{"perplexity": 13.728037744854667, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Ron Weasley\", \"Neville Longbottom\"]", "output": ""}
|
| 59 |
+
{"perplexity": 10.888940350285226, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Darth Vader\", \"Emperor Palpatine\"]", "output": ""}
|
| 60 |
+
{"perplexity": 12.119811260531675, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Coca-Cola\", \"McDonald's\"]", "output": ""}
|
| 61 |
+
{"perplexity": 15.263650662358998, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Instagram\", \"WhatsApp\"]", "output": ""}
|
| 62 |
+
{"perplexity": 18.446372262225537, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Noah Schnapp\", \"Galatasaray S.K.\"]", "output": ""}
|
| 63 |
+
{"perplexity": 15.0465257664597, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"US\", \"Canada\"]", "output": ""}
|
| 64 |
+
{"perplexity": 16.206682375523272, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Bob Marley\", \"Abu Bakr\"]", "output": ""}
|
| 65 |
+
{"perplexity": 17.489903856008123, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Jeff Bezos\", \"GitHub\"]", "output": ""}
|
| 66 |
+
{"perplexity": 17.658075147428026, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Hong Kong\", \"HSBC\"]", "output": ""}
|
| 67 |
+
{"perplexity": 12.742150524252404, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"United States\", \"United Kingdom\"]", "output": ""}
|
| 68 |
+
{"perplexity": 12.96332911637567, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Porter Wagoner\", \"Dolly Parton\"]", "output": ""}
|
| 69 |
+
{"perplexity": 20.762964370144612, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Achilles\", \"Jonathan Bailey\"]", "output": ""}
|
| 70 |
+
{"perplexity": 17.967098287289346, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Linus Sebastian\", \"Marques Brownlee\"]", "output": ""}
|
| 71 |
+
{"perplexity": 15.945850223551602, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Catherine Zeta-Jones\", \"Johnny Knoxville\"]", "output": ""}
|
| 72 |
+
{"perplexity": 18.15046146535705, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Amazon\", \"Royal Mail\"]", "output": ""}
|
| 73 |
+
{"perplexity": 15.41054756704097, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"The Beatles\", \"Queen\"]", "output": ""}
|
| 74 |
+
{"perplexity": 16.31603596365297, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Benedict Cumberbatch\", \"Hanukkah\"]", "output": ""}
|
| 75 |
+
{"perplexity": 18.16601794016183, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Huawei\", \"China\"]", "output": ""}
|
| 76 |
+
{"perplexity": 20.15519909856682, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Rishi Sunak\", \"Emmanuel Macron\"]", "output": ""}
|
| 77 |
+
{"perplexity": 17.30386153703493, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Microsoft\", \"LinkedIn\"]", "output": ""}
|
| 78 |
+
{"perplexity": 18.84048775970182, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Paul Rudd\", \"Memento\"]", "output": ""}
|
| 79 |
+
{"perplexity": 16.26248320109068, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Russia\", \"Georgia\"]", "output": ""}
|
| 80 |
+
{"perplexity": 13.954807050817886, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Germany\", \"France\"]", "output": ""}
|
| 81 |
+
{"perplexity": 16.24522740846874, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Stephen Hawking\", \"Brian Cox\"]", "output": ""}
|
| 82 |
+
{"perplexity": 11.046941951561248, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Jean-Michel Basquiat\", \"Andy Warhol\"]", "output": ""}
|
| 83 |
+
{"perplexity": 20.761627563593063, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Mark Drakeford\", \"Rishi Sunak\"]", "output": ""}
|
| 84 |
+
{"perplexity": 20.037027128993227, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"J\u00fcrgen Klopp\", \"Exo\"]", "output": ""}
|
| 85 |
+
{"perplexity": 17.170481234402363, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Windows\", \"Xbox\"]", "output": ""}
|
| 86 |
+
{"perplexity": 20.367243773545706, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Saturn\", \"Rachel Bilson\"]", "output": ""}
|
| 87 |
+
{"perplexity": 19.82147799165193, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Ottoman Empire\", \"Snowpiercer\"]", "output": ""}
|
| 88 |
+
{"perplexity": 15.00178968192828, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Johnny Cash\", \"Waylon Jennings\"]", "output": ""}
|
| 89 |
+
{"perplexity": 14.638115657441997, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"UN\", \"NATO\"]", "output": ""}
|
| 90 |
+
{"perplexity": 15.017186636301336, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Boris Johnson\", \"Emmanuel Macron\"]", "output": ""}
|
| 91 |
+
{"perplexity": 12.574906579498728, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Cersei Lannister\", \"Euron Greyjoy\"]", "output": ""}
|
| 92 |
+
{"perplexity": 14.624463519623394, "input": "entities that are friends or allies:\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"CIA\", \"MI6\"]\n* [\"Japan\", \"Taiwan\"]", "output": ""}
|
experiments/results/lm_lc_3shots_0seed/davinci/ppl.influenced_by.jsonl
ADDED
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@@ -0,0 +1,93 @@
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| 1 |
+
{"perplexity": 21.06259813829675, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Prince Harry\", \"Monarchy\"]", "output": ""}
|
| 2 |
+
{"perplexity": 22.161521189127797, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"F1\", \"social media\"]", "output": ""}
|
| 3 |
+
{"perplexity": 15.633609714249152, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Elton John\", \"Elvis Presley\"]", "output": ""}
|
| 4 |
+
{"perplexity": 22.61236406163662, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Jack Black\", \"Waffen-SS\"]", "output": ""}
|
| 5 |
+
{"perplexity": 13.94590843483422, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Game of Thrones\", \"Lord of the Rings\"]", "output": ""}
|
| 6 |
+
{"perplexity": 17.091255842639036, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Canon\", \"Nikon\"]", "output": ""}
|
| 7 |
+
{"perplexity": 15.41548167329791, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Thomas Aquinas\", \"Aristotle\"]", "output": ""}
|
| 8 |
+
{"perplexity": 17.83991530851798, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Android\", \"iOS\"]", "output": ""}
|
| 9 |
+
{"perplexity": 24.999545484743678, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Charles Baudelaire\", \"Tornado MRCA\"]", "output": ""}
|
| 10 |
+
{"perplexity": 21.69334615241513, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"trending music\", \"TikTok\"]", "output": ""}
|
| 11 |
+
{"perplexity": 16.638552684943654, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Xi Jinping\", \"Kim Jong-il\"]", "output": ""}
|
| 12 |
+
{"perplexity": 16.075110340197455, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Beethoven\", \"romanticism\"]", "output": ""}
|
| 13 |
+
{"perplexity": 14.726186820720828, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Edgar Allan Poe\", \"Romanticism\"]", "output": ""}
|
| 14 |
+
{"perplexity": 19.60641941790354, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"US\", \"NASA\"]", "output": ""}
|
| 15 |
+
{"perplexity": 18.348540927765, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Wales\", \"Westminster\"]", "output": ""}
|
| 16 |
+
{"perplexity": 20.65409888784678, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Sierra Leone\", \"Pulp fiction\"]", "output": ""}
|
| 17 |
+
{"perplexity": 17.896554218588605, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]", "output": ""}
|
| 18 |
+
{"perplexity": 16.491745850216883, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Theresa May\", \"David Cameron\"]", "output": ""}
|
| 19 |
+
{"perplexity": 19.093762938024742, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Anna Delvey\", \"Bernie Madoff\"]", "output": ""}
|
| 20 |
+
{"perplexity": 15.626259294223685, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Lord of the Rings\", \"Beowulf\"]", "output": ""}
|
| 21 |
+
{"perplexity": 16.733832967929192, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Andrew Johnson\", \"Abraham Lincoln\"]", "output": ""}
|
| 22 |
+
{"perplexity": 19.38342084651835, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"LinkedIn\", \"Facebook\"]", "output": ""}
|
| 23 |
+
{"perplexity": 15.115433879130727, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Picasso\", \"Cezanne\"]", "output": ""}
|
| 24 |
+
{"perplexity": 18.275528247655313, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Playstation\", \"Xbox\"]", "output": ""}
|
| 25 |
+
{"perplexity": 21.081293349712848, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Kevin Spacey\", \"Tenerife\"]", "output": ""}
|
| 26 |
+
{"perplexity": 19.163309289105978, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Saudi Arabia\", \"US\"]", "output": ""}
|
| 27 |
+
{"perplexity": 19.22655700021492, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Fitbit\", \"heart rate monitor\"]", "output": ""}
|
| 28 |
+
{"perplexity": 17.7327517675574, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Taiwan\", \"China\"]", "output": ""}
|
| 29 |
+
{"perplexity": 13.155889114761406, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Kylian Mbappe\", \"Cristiano Ronaldo\"]", "output": ""}
|
| 30 |
+
{"perplexity": 16.148187656179754, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Picasso\", \"cubism\"]", "output": ""}
|
| 31 |
+
{"perplexity": 17.415268517870906, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Miley Cyrus\", \"Lorde\"]", "output": ""}
|
| 32 |
+
{"perplexity": 14.972018169669273, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Neymar\", \"Alexis S\u00e1nchez\"]", "output": ""}
|
| 33 |
+
{"perplexity": 17.57495442527204, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Smashing Pumpkins\", \"Beatles\"]", "output": ""}
|
| 34 |
+
{"perplexity": 19.931865981924137, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Portuguese\", \"The Prestige\"]", "output": ""}
|
| 35 |
+
{"perplexity": 22.207924580774158, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Luke Evans\", \"Ava Gardner\"]", "output": ""}
|
| 36 |
+
{"perplexity": 19.115320496057823, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"MacOS\", \"Linux\"]", "output": ""}
|
| 37 |
+
{"perplexity": 19.46417318154927, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Transport for Wales\", \"National Rail\"]", "output": ""}
|
| 38 |
+
{"perplexity": 15.966901144192807, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Herbie Hancock\", \"Miles Davis\"]", "output": ""}
|
| 39 |
+
{"perplexity": 16.320599289758857, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"India\", \"Hinduism\"]", "output": ""}
|
| 40 |
+
{"perplexity": 18.297537905767975, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"hip hop\", \"jazz\"]", "output": ""}
|
| 41 |
+
{"perplexity": 14.643158232300628, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Bob Dylan\", \"Woody Guthrie\"]", "output": ""}
|
| 42 |
+
{"perplexity": 19.114147820067032, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Tim Burton\", \"German expressionism\"]", "output": ""}
|
| 43 |
+
{"perplexity": 17.831519194097055, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Eamon de Valera\", \"James Napper Tandy\"]", "output": ""}
|
| 44 |
+
{"perplexity": 18.57793284849919, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Joe Biden\", \"Donald Trump\"]", "output": ""}
|
| 45 |
+
{"perplexity": 23.741499388020237, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Shaquille O'Neal\", \"Selim II\"]", "output": ""}
|
| 46 |
+
{"perplexity": 22.501669218872774, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Cobra Kai\", \"Anna Chlumsky\"]", "output": ""}
|
| 47 |
+
{"perplexity": 15.577892207535802, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Harry Potter\", \"Wizard of Oz\"]", "output": ""}
|
| 48 |
+
{"perplexity": 13.755037577875457, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Coca-Cola\", \"Pepsi\"]", "output": ""}
|
| 49 |
+
{"perplexity": 17.53732530543018, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Apple Music\", \"Spotify\"]", "output": ""}
|
| 50 |
+
{"perplexity": 16.682454601292083, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Singaporean food\", \"Malaysian food\"]", "output": ""}
|
| 51 |
+
{"perplexity": 17.812317422830848, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Guess\", \"Gucci\"]", "output": ""}
|
| 52 |
+
{"perplexity": 16.991514312486682, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Commonwealth\", \"United Kingdom\"]", "output": ""}
|
| 53 |
+
{"perplexity": 19.53838817668455, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"machine learning\", \"Google\"]", "output": ""}
|
| 54 |
+
{"perplexity": 18.088798825863766, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Antonio Salazar\", \"fascism\"]", "output": ""}
|
| 55 |
+
{"perplexity": 19.014598522159353, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Facebook\", \"LinkedIn\"]", "output": ""}
|
| 56 |
+
{"perplexity": 15.616828514840009, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Hank Williams\", \"Jimmie Rodgers\"]", "output": ""}
|
| 57 |
+
{"perplexity": 28.47630249187927, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"painters\", \"Stable Diffusion\"]", "output": ""}
|
| 58 |
+
{"perplexity": 22.200593511048908, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Walmart\", \"Rivaldo\"]", "output": ""}
|
| 59 |
+
{"perplexity": 22.087246336389512, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Sauron\", \"Shiba Inu\"]", "output": ""}
|
| 60 |
+
{"perplexity": 16.390331482192714, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Bruno Mars\", \"James Brown\"]", "output": ""}
|
| 61 |
+
{"perplexity": 18.958202354496326, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Brazil\", \"Spain\"]", "output": ""}
|
| 62 |
+
{"perplexity": 19.647883444479362, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"heavy metal\", \"punk music\"]", "output": ""}
|
| 63 |
+
{"perplexity": 18.508465936593865, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Moon\", \"G\u00f6bekli Tepe\"]", "output": ""}
|
| 64 |
+
{"perplexity": 18.547776364645163, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"English\", \"William Shakespeare\"]", "output": ""}
|
| 65 |
+
{"perplexity": 20.6924218579297, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Beatles\", \"Alice in Wonderland\"]", "output": ""}
|
| 66 |
+
{"perplexity": 13.257208339630354, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"impressionism\", \"Edouard Manet\"]", "output": ""}
|
| 67 |
+
{"perplexity": 22.119051676018152, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Gilbert Gottfried\", \"Mike Krieger\"]", "output": ""}
|
| 68 |
+
{"perplexity": 17.703305929852487, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Vladimir Lenin\", \"chess\"]", "output": ""}
|
| 69 |
+
{"perplexity": 14.27805130240857, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Pepsi\", \"Coca-Cola\"]", "output": ""}
|
| 70 |
+
{"perplexity": 17.19284451620989, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Alicia Vikander\", \"Richard Attenborough\"]", "output": ""}
|
| 71 |
+
{"perplexity": 19.522992173042176, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Luke Bryan\", \"Hank Williams\"]", "output": ""}
|
| 72 |
+
{"perplexity": 15.934241189476223, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Bill Gates\", \"Steve Jobs\"]", "output": ""}
|
| 73 |
+
{"perplexity": 23.487596049611028, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Allu Arjun\", \"Aaron Ramsey\"]", "output": ""}
|
| 74 |
+
{"perplexity": 19.625334026774276, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Stephen King\", \"Arthur Machen\"]", "output": ""}
|
| 75 |
+
{"perplexity": 16.41234757336991, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Bangladesh\", \"India\"]", "output": ""}
|
| 76 |
+
{"perplexity": 19.37196067000207, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"hamburger\", \"Germany\"]", "output": ""}
|
| 77 |
+
{"perplexity": 15.460982187375619, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Plato\", \"Socrates\"]", "output": ""}
|
| 78 |
+
{"perplexity": 14.730181260223775, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]", "output": ""}
|
| 79 |
+
{"perplexity": 16.685586588718028, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Oasis\", \"Blur\"]", "output": ""}
|
| 80 |
+
{"perplexity": 15.117157740098364, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Quentin Tarantino\", \"Sergio Leone\"]", "output": ""}
|
| 81 |
+
{"perplexity": 17.32291300745917, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"European Union\", \"Germany\"]", "output": ""}
|
| 82 |
+
{"perplexity": 21.815151898514927, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Stephen Foster\", \"Thomas Moore\"]", "output": ""}
|
| 83 |
+
{"perplexity": 18.42049876243699, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Hoover\", \"Dyson\"]", "output": ""}
|
| 84 |
+
{"perplexity": 16.354017666846122, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Mark Rothko\", \"Claude Monet\"]", "output": ""}
|
| 85 |
+
{"perplexity": 17.035490906464343, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"James Brown\", \"Michael Jackson\"]", "output": ""}
|
| 86 |
+
{"perplexity": 18.801867200071243, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Windows\", \"Linux\"]", "output": ""}
|
| 87 |
+
{"perplexity": 18.29997684067322, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Radiohead\", \"David Bowie\"]", "output": ""}
|
| 88 |
+
{"perplexity": 19.60533401789725, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"NVIDIA\", \"AMD\"]", "output": ""}
|
| 89 |
+
{"perplexity": 16.867808003918796, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"India\", \"Gandhi\"]", "output": ""}
|
| 90 |
+
{"perplexity": 19.217273171149706, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Viktor Yushchenko\", \"Bonnie Wright\"]", "output": ""}
|
| 91 |
+
{"perplexity": 14.00576248283942, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Beethoven\", \"Mozart\"]", "output": ""}
|
| 92 |
+
{"perplexity": 17.666045212110213, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Bitcoin\", \"blockchain\"]", "output": ""}
|
| 93 |
+
{"perplexity": 16.902680774609426, "input": "what has influenced different entities:\n* [\"Messi\", \"Maradona\"]\n* [\"Europe\", \"European Union\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Hong Kong\", \"China\"]", "output": ""}
|
experiments/results/lm_lc_3shots_0seed/davinci/ppl.known_for.jsonl
ADDED
|
@@ -0,0 +1,108 @@
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| 1 |
+
{"perplexity": 11.137639876241753, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Hawaii\", \"ukulele\"]", "output": ""}
|
| 2 |
+
{"perplexity": 8.513986611288725, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]", "output": ""}
|
| 3 |
+
{"perplexity": 12.993916097286007, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Sweden\", \"pop\"]", "output": ""}
|
| 4 |
+
{"perplexity": 13.011539216519031, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Memphis Depay\", \"Mendelian inheritance\"]", "output": ""}
|
| 5 |
+
{"perplexity": 12.194945482756264, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"beaches\"]", "output": ""}
|
| 6 |
+
{"perplexity": 11.844760675346647, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"cars\"]", "output": ""}
|
| 7 |
+
{"perplexity": 9.918381924160052, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Alphabet Inc.\", \"Google\"]", "output": ""}
|
| 8 |
+
{"perplexity": 7.99581004429334, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Vincent Van Gogh\", \"The Starry Night\"]", "output": ""}
|
| 9 |
+
{"perplexity": 12.095173898751613, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Italy\", \"Hawaiian pizza\"]", "output": ""}
|
| 10 |
+
{"perplexity": 14.767194777819086, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Japan\", \"glass product\"]", "output": ""}
|
| 11 |
+
{"perplexity": 13.871751971527178, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"rococo movement\"]", "output": ""}
|
| 12 |
+
{"perplexity": 10.735054784523538, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Europe\", \"The Final Countdown\"]", "output": ""}
|
| 13 |
+
{"perplexity": 11.243229911028536, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Sophie Turner\", \"Sylvia Plath\"]", "output": ""}
|
| 14 |
+
{"perplexity": 10.626312237245623, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Bill Nye\", \"scientist\"]", "output": ""}
|
| 15 |
+
{"perplexity": 11.391358943466262, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Mercedes Benz\", \"build quality\"]", "output": ""}
|
| 16 |
+
{"perplexity": 10.077421190456695, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Hawaii\", \"beaches\"]", "output": ""}
|
| 17 |
+
{"perplexity": 10.208093449900103, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Jackson Pollock\", \"action painting\"]", "output": ""}
|
| 18 |
+
{"perplexity": 14.336503680315369, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Andhra Pradesh\", \"Martinique\"]", "output": ""}
|
| 19 |
+
{"perplexity": 8.900540820409134, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Keanu Reeves\", \"The Matrix\"]", "output": ""}
|
| 20 |
+
{"perplexity": 10.97044588948644, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Christopher Columbus\", \"India\"]", "output": ""}
|
| 21 |
+
{"perplexity": 8.50608805093224, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Picasso\", \"Guernica\"]", "output": ""}
|
| 22 |
+
{"perplexity": 9.82273802432434, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Italy\", \"Renaissance\"]", "output": ""}
|
| 23 |
+
{"perplexity": 12.282810869394856, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Korea\", \"Breakdance\"]", "output": ""}
|
| 24 |
+
{"perplexity": 11.24386628823649, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Spain\", \"olive oil\"]", "output": ""}
|
| 25 |
+
{"perplexity": 8.19216988072163, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"C.S. Lewis\", \"The Screwtape Letters\"]", "output": ""}
|
| 26 |
+
{"perplexity": 9.286525135807068, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Corsica\", \"Napoleon Bonaparte\"]", "output": ""}
|
| 27 |
+
{"perplexity": 10.807193005914991, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Rafael Nadal\", \"Ralph Macchio\"]", "output": ""}
|
| 28 |
+
{"perplexity": 10.94814748091246, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Walther P38\", \"Lupin the Third\"]", "output": ""}
|
| 29 |
+
{"perplexity": 15.938390589226524, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Richard Harris\", \"Curcuma longa\"]", "output": ""}
|
| 30 |
+
{"perplexity": 10.064315077658229, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Smashing Pumpkins\", \"Thru the eyes of Ruby\"]", "output": ""}
|
| 31 |
+
{"perplexity": 13.358322049050175, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"India\", \"rum\"]", "output": ""}
|
| 32 |
+
{"perplexity": 13.981015432648825, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Parasite\", \"Jersey\"]", "output": ""}
|
| 33 |
+
{"perplexity": 10.454775642367526, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"India\", \"Gurkhas\"]", "output": ""}
|
| 34 |
+
{"perplexity": 9.651542019008637, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Amazon\", \"Alexa\"]", "output": ""}
|
| 35 |
+
{"perplexity": 10.848985958510871, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Thomas Edison\", \"telephone\"]", "output": ""}
|
| 36 |
+
{"perplexity": 13.613611410644133, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Buffon\", \"PSG\"]", "output": ""}
|
| 37 |
+
{"perplexity": 10.069980305631017, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Alfred Hitchcock\", \"horror\"]", "output": ""}
|
| 38 |
+
{"perplexity": 8.034547925162899, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"William Shakespeare\", \"Romeo and Juliet\"]", "output": ""}
|
| 39 |
+
{"perplexity": 9.362951054253367, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Thomas Edison\", \"light bulb\"]", "output": ""}
|
| 40 |
+
{"perplexity": 12.415430375085002, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Michael Jordan\", \"Tessa Thompson\"]", "output": ""}
|
| 41 |
+
{"perplexity": 9.60155300323988, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Inglourious Basterds\", \"Sergio Busquets\"]", "output": ""}
|
| 42 |
+
{"perplexity": 10.630552284812827, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Boris Johnson\", \"Brexit\"]", "output": ""}
|
| 43 |
+
{"perplexity": 12.058414930544284, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Georgia\", \"Joseph Stalin\"]", "output": ""}
|
| 44 |
+
{"perplexity": 11.73945992806259, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"China\", \"coffee\"]", "output": ""}
|
| 45 |
+
{"perplexity": 15.911048375465656, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"OpenAI\", \"ChatGPT\"]", "output": ""}
|
| 46 |
+
{"perplexity": 9.924238984764166, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Tesco\", \"groceries\"]", "output": ""}
|
| 47 |
+
{"perplexity": 10.66190357920867, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Amazon\", \"cloud computing\"]", "output": ""}
|
| 48 |
+
{"perplexity": 10.61272216394451, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Nvidia\", \"GPUs\"]", "output": ""}
|
| 49 |
+
{"perplexity": 9.552821780972835, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Tony Blair\", \"Iraq War\"]", "output": ""}
|
| 50 |
+
{"perplexity": 11.558655683601321, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Germany\", \"techno music\"]", "output": ""}
|
| 51 |
+
{"perplexity": 10.96279311491093, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Michelangelo\", \"Pop Art\"]", "output": ""}
|
| 52 |
+
{"perplexity": 13.425174053274924, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Gilmore Girls\", \"OpenAI\"]", "output": ""}
|
| 53 |
+
{"perplexity": 12.906292884264916, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Ragnar\u00f6k\", \"Little Boy\"]", "output": ""}
|
| 54 |
+
{"perplexity": 11.638948635124382, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Pizzagate\", \"Hillary Clinton\"]", "output": ""}
|
| 55 |
+
{"perplexity": 10.533231690139782, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"George Orwell\", \"Coming Up for Air\"]", "output": ""}
|
| 56 |
+
{"perplexity": 11.283243020011485, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Italy\", \"wine\"]", "output": ""}
|
| 57 |
+
{"perplexity": 8.016523311238773, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Coca-Cola\", \"Pepsi\"]", "output": ""}
|
| 58 |
+
{"perplexity": 10.053531184720574, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Spotify\", \"Podcasts\"]", "output": ""}
|
| 59 |
+
{"perplexity": 11.705488185401519, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Valencia\", \"paella\"]", "output": ""}
|
| 60 |
+
{"perplexity": 11.874275817971746, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"The Office\", \"IBM\"]", "output": ""}
|
| 61 |
+
{"perplexity": 12.134470152250069, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Romania\", \"Roman Catholicism\"]", "output": ""}
|
| 62 |
+
{"perplexity": 11.526297188017281, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"George Washington\", \"Kiribati\"]", "output": ""}
|
| 63 |
+
{"perplexity": 14.131822973835913, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Charles Bronson\", \"Rory McIlroy\"]", "output": ""}
|
| 64 |
+
{"perplexity": 11.310520214187264, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Belgium\", \"wine\"]", "output": ""}
|
| 65 |
+
{"perplexity": 11.376268705530642, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Luka Modri\u0107\", \"Rottweiler\"]", "output": ""}
|
| 66 |
+
{"perplexity": 10.01983989936286, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Switzerland\", \"mountains\"]", "output": ""}
|
| 67 |
+
{"perplexity": 10.814507292433314, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Assassin's Creed\", \"history\"]", "output": ""}
|
| 68 |
+
{"perplexity": 9.633972142927012, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Red Bull\", \"energy drinks\"]", "output": ""}
|
| 69 |
+
{"perplexity": 9.06606108430379, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Johnny Cash\", \"Ring of Fire\"]", "output": ""}
|
| 70 |
+
{"perplexity": 9.503120953960828, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Microsoft\", \"Xbox\"]", "output": ""}
|
| 71 |
+
{"perplexity": 10.24379541790341, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Canada\", \"maple syrup\"]", "output": ""}
|
| 72 |
+
{"perplexity": 10.62565367124065, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"cheese\"]", "output": ""}
|
| 73 |
+
{"perplexity": 12.105308950630302, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"beer\"]", "output": ""}
|
| 74 |
+
{"perplexity": 9.03671212474417, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Nintendo\", \"Super Mario Bros.\"]", "output": ""}
|
| 75 |
+
{"perplexity": 11.684266394115953, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"democracy\", \"North Korea\"]", "output": ""}
|
| 76 |
+
{"perplexity": 10.225152528189987, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Apple\", \"iPhone\"]", "output": ""}
|
| 77 |
+
{"perplexity": 9.08684076889967, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Harry Potter\", \"Bloomsbury\"]", "output": ""}
|
| 78 |
+
{"perplexity": 11.418611703416717, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"mountains\"]", "output": ""}
|
| 79 |
+
{"perplexity": 11.21319399415983, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"UK\", \"rain\"]", "output": ""}
|
| 80 |
+
{"perplexity": 9.701167955916187, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Matt Damon\", \"Ocean's Eleven\"]", "output": ""}
|
| 81 |
+
{"perplexity": 10.795912920280369, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Switzerland\", \"banking secrecy\"]", "output": ""}
|
| 82 |
+
{"perplexity": 8.865422512330797, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Adidas\", \"Yeezy Boost\"]", "output": ""}
|
| 83 |
+
{"perplexity": 9.78264213533999, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Portugal\", \"Fado\"]", "output": ""}
|
| 84 |
+
{"perplexity": 12.185142111135633, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Italy\", \"tea\"]", "output": ""}
|
| 85 |
+
{"perplexity": 9.965520581500035, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Beatles\", \"Come Together\"]", "output": ""}
|
| 86 |
+
{"perplexity": 10.281698460879646, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Afro-Brazilians\", \"Capoeira\"]", "output": ""}
|
| 87 |
+
{"perplexity": 10.248705890793653, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Steve Jobs\", \"AirPods\"]", "output": ""}
|
| 88 |
+
{"perplexity": 9.646352727637412, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Apple\", \"Apple Watch\"]", "output": ""}
|
| 89 |
+
{"perplexity": 13.122720417309768, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Frank Abagnale Jr\", \"doctor\"]", "output": ""}
|
| 90 |
+
{"perplexity": 13.270289066749616, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Meta\", \"Instagram\"]", "output": ""}
|
| 91 |
+
{"perplexity": 7.93693172302458, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Jeff Goldblum\", \"Jurassic Park\"]", "output": ""}
|
| 92 |
+
{"perplexity": 7.764955478903531, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]", "output": ""}
|
| 93 |
+
{"perplexity": 11.385393992883191, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Neil Armstrong\", \"Korean War\"]", "output": ""}
|
| 94 |
+
{"perplexity": 10.19747050095293, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"baguette\"]", "output": ""}
|
| 95 |
+
{"perplexity": 7.7740721726866715, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Queen\", \"Bohemian Rhapsody\"]", "output": ""}
|
| 96 |
+
{"perplexity": 11.982382020881303, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Pixar\", \"Novosibirsk\"]", "output": ""}
|
| 97 |
+
{"perplexity": 9.217975882426932, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Greggs\", \"sausage rolls\"]", "output": ""}
|
| 98 |
+
{"perplexity": 11.341735146270942, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Japan\", \"sake\"]", "output": ""}
|
| 99 |
+
{"perplexity": 11.356520332554172, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"IKEA\", \"food\"]", "output": ""}
|
| 100 |
+
{"perplexity": 12.291012494035266, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"William Grant & Sons\", \"gin\"]", "output": ""}
|
| 101 |
+
{"perplexity": 10.128358326769877, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Netherlands\", \"tulips\"]", "output": ""}
|
| 102 |
+
{"perplexity": 12.815271616570325, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"LAMY\", \"notebook\"]", "output": ""}
|
| 103 |
+
{"perplexity": 9.148871063579241, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Harvey Weinstein\", \"Miramax\"]", "output": ""}
|
| 104 |
+
{"perplexity": 11.239362654896173, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Scotland\", \"whisky\"]", "output": ""}
|
| 105 |
+
{"perplexity": 9.411604266758449, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Apple\", \"MacBook\"]", "output": ""}
|
| 106 |
+
{"perplexity": 9.273207744380812, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Steve Jobs\", \"Apple\"]", "output": ""}
|
| 107 |
+
{"perplexity": 10.645420707728187, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Beatles\", \"I Me Mine\"]", "output": ""}
|
| 108 |
+
{"perplexity": 9.4031366074064, "input": "examples of what entities are known for:\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Google\", \"search engine\"]", "output": ""}
|
experiments/results/lm_lc_3shots_0seed/davinci/ppl.similar_to.jsonl
ADDED
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@@ -0,0 +1,93 @@
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| 1 |
+
{"perplexity": 8.930063819555432, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"pill\", \"tablet\"]", "output": ""}
|
| 2 |
+
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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| 34 |
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| 35 |
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| 36 |
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| 37 |
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| 38 |
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| 39 |
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| 40 |
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| 41 |
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| 42 |
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| 43 |
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| 44 |
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| 45 |
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| 46 |
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| 47 |
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{"perplexity": 9.231862539663416, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"fusilli\", \"rotini\"]", "output": ""}
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| 48 |
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| 49 |
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| 50 |
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| 51 |
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| 52 |
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| 53 |
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{"perplexity": 10.517360743611714, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Joe Burrow\", \"Edward Scissorhands\"]", "output": ""}
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| 54 |
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| 55 |
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{"perplexity": 8.88120659787651, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Edward I\", \"William the Conqueror\"]", "output": ""}
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| 56 |
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{"perplexity": 8.109483749093103, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Frank Sinatra\", \"Ella Fitzgerald\"]", "output": ""}
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| 57 |
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{"perplexity": 8.698222324202494, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"New York\", \"York\"]", "output": ""}
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| 58 |
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{"perplexity": 8.398587197156372, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Uzbekistan\", \"United States\"]", "output": ""}
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| 59 |
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| 60 |
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| 61 |
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{"perplexity": 9.253489153844138, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Cerave\", \"Nivea\"]", "output": ""}
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| 62 |
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{"perplexity": 8.50080766912178, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Galaxy\", \"iPhone\"]", "output": ""}
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| 63 |
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{"perplexity": 9.918203456299477, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Mehmet \u00d6z\", \"David Schwimmer\"]", "output": ""}
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| 64 |
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{"perplexity": 7.568063628766154, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Disney\", \"Pixar\"]", "output": ""}
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| 65 |
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{"perplexity": 7.742833953243942, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Batman\", \"Iron Man\"]", "output": ""}
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| 66 |
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{"perplexity": 8.580961006651773, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Gisele B\u00fcndchen\", \"Orson Welles\"]", "output": ""}
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| 67 |
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{"perplexity": 7.976372135354424, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Estonia\", \"Finland\"]", "output": ""}
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| 68 |
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{"perplexity": 7.5472763069265545, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]", "output": ""}
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| 69 |
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| 70 |
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{"perplexity": 7.45036199377325, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Adidas\", \"Nike\"]", "output": ""}
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| 71 |
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| 72 |
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{"perplexity": 9.359417356857001, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"bourbon\", \"Scotch whisky\"]", "output": ""}
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| 73 |
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| 74 |
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| 75 |
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{"perplexity": 8.780985502195517, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"banana\", \"plantain\"]", "output": ""}
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| 76 |
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{"perplexity": 7.494709872328264, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Firefox\", \"Chrome\"]", "output": ""}
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| 77 |
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{"perplexity": 7.68326563124795, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Pecorino Romano\", \"Parmesan\"]", "output": ""}
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| 78 |
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| 79 |
+
{"perplexity": 8.097122770988843, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Netflix\", \"Amazon Prime Video\"]", "output": ""}
|
| 80 |
+
{"perplexity": 9.542095251027941, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Primark\", \"Shein\"]", "output": ""}
|
| 81 |
+
{"perplexity": 8.673871043990669, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Dominos' Pizza\", \"Pizza Hut\"]", "output": ""}
|
| 82 |
+
{"perplexity": 9.301800079665492, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"South Africa\", \"Bhagavad Gita\"]", "output": ""}
|
| 83 |
+
{"perplexity": 7.8353937188714475, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Germany\", \"France\"]", "output": ""}
|
| 84 |
+
{"perplexity": 9.707690743853624, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Kindle\", \"Jeff Bezos\"]", "output": ""}
|
| 85 |
+
{"perplexity": 6.88084305006851, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Harry Potter\", \"Lord of the Rings\"]", "output": ""}
|
| 86 |
+
{"perplexity": 9.87540612635611, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Yakutia\", \"Turkey\"]", "output": ""}
|
| 87 |
+
{"perplexity": 9.383317479721331, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"PS5\", \"XBox\"]", "output": ""}
|
| 88 |
+
{"perplexity": 8.198268376673983, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Monet\", \"Manet\"]", "output": ""}
|
| 89 |
+
{"perplexity": 7.969941203510208, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Glastonbury\", \"Roskilde\"]", "output": ""}
|
| 90 |
+
{"perplexity": 8.848747109692875, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Telugu\", \"Tamil\"]", "output": ""}
|
| 91 |
+
{"perplexity": 7.4927303093660385, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Batman\", \"Superman\"]", "output": ""}
|
| 92 |
+
{"perplexity": 9.738300405515563, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"cannoli\", \"canneloni\"]", "output": ""}
|
| 93 |
+
{"perplexity": 9.16026097852183, "input": "examples of entities that are similar:\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Gerald Ford\", \"Duran Duran\"]", "output": ""}
|
experiments/results/lm_lc_3shots_1seed/davinci/ppl.competitor__rival_of.jsonl
ADDED
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@@ -0,0 +1,89 @@
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|
| 1 |
+
{"perplexity": 17.027595228602127, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Jeremy Corbyn\", \"Keir Starmer\"]", "output": ""}
|
| 2 |
+
{"perplexity": 29.784161352367537, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"EuroBasket 2022\", \"Murad III\"]", "output": ""}
|
| 3 |
+
{"perplexity": 15.669391664046369, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Bugatti\", \"Lamborghini\"]", "output": ""}
|
| 4 |
+
{"perplexity": 17.11983638087803, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Apple\", \"Microsoft\"]", "output": ""}
|
| 5 |
+
{"perplexity": 16.98939586979282, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Lee Chong Wei\", \"Lin Dan\"]", "output": ""}
|
| 6 |
+
{"perplexity": 17.10874188835565, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft\", \"Google\"]", "output": ""}
|
| 7 |
+
{"perplexity": 23.328922383886162, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Samsung\", \"Pitbull\"]", "output": ""}
|
| 8 |
+
{"perplexity": 12.9344323258038, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Cristiano Ronaldo\", \"Lionel Messi\"]", "output": ""}
|
| 9 |
+
{"perplexity": 18.591707168134278, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Germany\", \"Austria\"]", "output": ""}
|
| 10 |
+
{"perplexity": 19.268147741906443, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dyson\", \"Dualit\"]", "output": ""}
|
| 11 |
+
{"perplexity": 20.03490869224916, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Netflix\", \"Disney Plus\"]", "output": ""}
|
| 12 |
+
{"perplexity": 15.764504701976577, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"PyTorch\", \"TensorFlow\"]", "output": ""}
|
| 13 |
+
{"perplexity": 16.660376591955835, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Dell\", \"HP\"]", "output": ""}
|
| 14 |
+
{"perplexity": 18.821524961026412, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Sanpellegrino\", \"Volvic\"]", "output": ""}
|
| 15 |
+
{"perplexity": 18.04462158410839, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Mikhail Khodorkovsky\", \"Hezbollah\"]", "output": ""}
|
| 16 |
+
{"perplexity": 15.824687896539606, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"British Airways\", \"Aer Lingus\"]", "output": ""}
|
| 17 |
+
{"perplexity": 16.274705566881284, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": ""}
|
| 18 |
+
{"perplexity": 17.313733851327544, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Federal Reserve Board\", \"Bank of England\"]", "output": ""}
|
| 19 |
+
{"perplexity": 20.915176999265963, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"American Psycho\", \"Chihuahua\"]", "output": ""}
|
| 20 |
+
{"perplexity": 17.108308512519294, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Mars\", \"Snickers\"]", "output": ""}
|
| 21 |
+
{"perplexity": 20.433981058630255, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"ASML\", \"LAM Research\"]", "output": ""}
|
| 22 |
+
{"perplexity": 23.030363397474613, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Jake Paul\", \"Tangled\"]", "output": ""}
|
| 23 |
+
{"perplexity": 16.86847823663888, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Nikhita Khrushchev\", \"Leonid Brezhnev\"]", "output": ""}
|
| 24 |
+
{"perplexity": 18.42849413727824, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Razer\", \"Dell\"]", "output": ""}
|
| 25 |
+
{"perplexity": 17.88886584222849, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Spotify\", \"Apple\"]", "output": ""}
|
| 26 |
+
{"perplexity": 21.261988072335733, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Kourtney Kardashian\", \"Jenna Fischer\"]", "output": ""}
|
| 27 |
+
{"perplexity": 16.53584140829268, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Twitter\", \"WhatsApp\"]", "output": ""}
|
| 28 |
+
{"perplexity": 17.242143110391204, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Manchester United\", \"Arsenal\"]", "output": ""}
|
| 29 |
+
{"perplexity": 15.419817982459818, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"WeChat\", \"WhatsApp\"]", "output": ""}
|
| 30 |
+
{"perplexity": 18.49353367399222, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Saudi Arabia\", \"Israel\"]", "output": ""}
|
| 31 |
+
{"perplexity": 19.508646141365848, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Bashar al-Assad\", \"Christianity\"]", "output": ""}
|
| 32 |
+
{"perplexity": 21.61536186090127, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Didier Deschamps\", \"Scott Adkins\"]", "output": ""}
|
| 33 |
+
{"perplexity": 13.383768267960471, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Lionel Messi\", \"Kylian Mbapp\u00e9\"]", "output": ""}
|
| 34 |
+
{"perplexity": 20.958011578527103, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Louis Philippe\", \"Peter England\"]", "output": ""}
|
| 35 |
+
{"perplexity": 25.433902130856538, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Steve Jobs\", \"Atlanta\"]", "output": ""}
|
| 36 |
+
{"perplexity": 19.87121785194805, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Bella Hadid\", \"Choi Woo-shik\"]", "output": ""}
|
| 37 |
+
{"perplexity": 25.50781207752139, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Mali\", \"Frances McDormand\"]", "output": ""}
|
| 38 |
+
{"perplexity": 13.534209328482822, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Coca-Cola Company\", \"Pepsi\"]", "output": ""}
|
| 39 |
+
{"perplexity": 12.355051284601727, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Khabib Nurmagomedov\", \"Conor McGregor\"]", "output": ""}
|
| 40 |
+
{"perplexity": 17.0674995181718, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Twitter\", \"Facebook\"]", "output": ""}
|
| 41 |
+
{"perplexity": 16.16553403505058, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Cardiff University\", \"Swansea University\"]", "output": ""}
|
| 42 |
+
{"perplexity": 13.412550056064397, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Isaac Newton\", \"Gottfried Leibniz\"]", "output": ""}
|
| 43 |
+
{"perplexity": 18.35395974994839, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Casio\", \"Texas Instruments\"]", "output": ""}
|
| 44 |
+
{"perplexity": 15.416982394318397, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Arsenal\", \"Tottenham Hotspur\"]", "output": ""}
|
| 45 |
+
{"perplexity": 18.11584954301429, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Nintendo\", \"Xbox\"]", "output": ""}
|
| 46 |
+
{"perplexity": 19.108074864620683, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"H&M\", \"Zalora\"]", "output": ""}
|
| 47 |
+
{"perplexity": 15.738766169580924, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Serena Williams\", \"Andy Murray\"]", "output": ""}
|
| 48 |
+
{"perplexity": 16.268984364608716, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Liverpool FC\", \"Manchester United\"]", "output": ""}
|
| 49 |
+
{"perplexity": 16.85381150664567, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Apple\", \"Samsung\"]", "output": ""}
|
| 50 |
+
{"perplexity": 16.092364039623035, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Expedia\", \"Trivago\"]", "output": ""}
|
| 51 |
+
{"perplexity": 12.925605993317072, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Heathrow Airport\", \"Gatwick Airport\"]", "output": ""}
|
| 52 |
+
{"perplexity": 16.92083265101248, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Mario\", \"Bowser\"]", "output": ""}
|
| 53 |
+
{"perplexity": 18.519312042954063, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"US\", \"China\"]", "output": ""}
|
| 54 |
+
{"perplexity": 17.439938980312927, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Olympic Games\", \"Helicobacter pylori\"]", "output": ""}
|
| 55 |
+
{"perplexity": 13.950841543254553, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"BMW\", \"Mercedes-Benz\"]", "output": ""}
|
| 56 |
+
{"perplexity": 16.264836407200153, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Blur\", \"Oasis\"]", "output": ""}
|
| 57 |
+
{"perplexity": 17.56489661484177, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Israel\", \"Palestine\"]", "output": ""}
|
| 58 |
+
{"perplexity": 17.080438046797838, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Toshiba\", \"LG\"]", "output": ""}
|
| 59 |
+
{"perplexity": 19.960162522821335, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Apple\", \"Rolex\"]", "output": ""}
|
| 60 |
+
{"perplexity": 20.043077253789306, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Tesla\", \"Skoda\"]", "output": ""}
|
| 61 |
+
{"perplexity": 18.432643527118813, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Thomas Jefferson\", \"Alexander Hamilton\"]", "output": ""}
|
| 62 |
+
{"perplexity": 16.361480644072817, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Chester FC\", \"Wrexham FC\"]", "output": ""}
|
| 63 |
+
{"perplexity": 19.640807716627766, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Line of Duty\", \"CSI\"]", "output": ""}
|
| 64 |
+
{"perplexity": 21.416224617997383, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Gladiator\", \"Imelda Staunton\"]", "output": ""}
|
| 65 |
+
{"perplexity": 18.226372477621474, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"UK\", \"France\"]", "output": ""}
|
| 66 |
+
{"perplexity": 14.769570706052724, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Nike\", \"Adidas\"]", "output": ""}
|
| 67 |
+
{"perplexity": 13.565361050611797, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Alain Prost\", \"Ayrton Senna\"]", "output": ""}
|
| 68 |
+
{"perplexity": 15.414786192378859, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Manchester City\", \"Manchester United\"]", "output": ""}
|
| 69 |
+
{"perplexity": 18.13245530748305, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"BBC\", \"The Guardian\"]", "output": ""}
|
| 70 |
+
{"perplexity": 17.17647711251164, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Amazon\", \"Ebay\"]", "output": ""}
|
| 71 |
+
{"perplexity": 15.868402776582093, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Sir Alex Ferguson\", \"Jose Mourinho\"]", "output": ""}
|
| 72 |
+
{"perplexity": 26.540844302657057, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"ASEAN\", \"Helen Hunt\"]", "output": ""}
|
| 73 |
+
{"perplexity": 16.217626940963193, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Hans Zimmer\", \"John Williams\"]", "output": ""}
|
| 74 |
+
{"perplexity": 18.695396566038326, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Noel Gallagher\", \"Liam Gallaguer\"]", "output": ""}
|
| 75 |
+
{"perplexity": 13.19569003146675, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"McDonald's\", \"Burger King\"]", "output": ""}
|
| 76 |
+
{"perplexity": 16.195347420247984, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Neoclassicism\", \"Romanticism\"]", "output": ""}
|
| 77 |
+
{"perplexity": 28.566971302218793, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Royal Feast\", \"Fast X\"]", "output": ""}
|
| 78 |
+
{"perplexity": 18.252362415824347, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Eminem\", \"MGK\"]", "output": ""}
|
| 79 |
+
{"perplexity": 15.73111303106599, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Sprite\", \"7 Up\"]", "output": ""}
|
| 80 |
+
{"perplexity": 20.58779095099379, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Katharine Hepburn\", \"Abrahamic religion\"]", "output": ""}
|
| 81 |
+
{"perplexity": 14.2473783110889, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Martin Luther King Jr.\", \"Malcolm X\"]", "output": ""}
|
| 82 |
+
{"perplexity": 22.364886153305644, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Ligue 1\", \"Hayley Atwell\"]", "output": ""}
|
| 83 |
+
{"perplexity": 23.896934095829526, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Vikram\", \"Coen brothers\"]", "output": ""}
|
| 84 |
+
{"perplexity": 18.86527870349382, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Russia\", \"China\"]", "output": ""}
|
| 85 |
+
{"perplexity": 22.206915047567694, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Mohamed Salah\", \"Korea\"]", "output": ""}
|
| 86 |
+
{"perplexity": 19.31195470123478, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Kingston\", \"Samsung\"]", "output": ""}
|
| 87 |
+
{"perplexity": 17.555069407591485, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"AWS\", \"GCP\"]", "output": ""}
|
| 88 |
+
{"perplexity": 15.05350663903891, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Beatles\", \"Rolling Stones\"]", "output": ""}
|
| 89 |
+
{"perplexity": 20.617391222319192, "input": "entities that are competitors or rivals:\n* [\"Sprite\", \"7 Up\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"John Tyler\", \"Whig Party\"]", "output": ""}
|
experiments/results/lm_lc_3shots_1seed/davinci/ppl.friend__ally_of.jsonl
ADDED
|
@@ -0,0 +1,92 @@
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|
| 1 |
+
{"perplexity": 20.080428108662055, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Rishi Sunak\", \"Leo Varadkar\"]", "output": ""}
|
| 2 |
+
{"perplexity": 16.501792117358903, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Gondor\", \"Rohan\"]", "output": ""}
|
| 3 |
+
{"perplexity": 16.23992117134769, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"FIFA\", \"UEFA\"]", "output": ""}
|
| 4 |
+
{"perplexity": 14.331914119387053, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Joseph Stalin\", \"Josip Broz Tito\"]", "output": ""}
|
| 5 |
+
{"perplexity": 16.32322213414633, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Hillary Clinton\", \"Barack Obama\"]", "output": ""}
|
| 6 |
+
{"perplexity": 16.42685394686797, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Di Maio\", \"Salvini\"]", "output": ""}
|
| 7 |
+
{"perplexity": 20.112606415969697, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Yahoo\", \"Yahoo Japan\"]", "output": ""}
|
| 8 |
+
{"perplexity": 13.134907874835413, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Armenia\", \"Azerbaijan\"]", "output": ""}
|
| 9 |
+
{"perplexity": 25.61656889131423, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Doja Cat\", \"Anthony Albanese\"]", "output": ""}
|
| 10 |
+
{"perplexity": 13.220031829116582, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Pedro S\u00e1nchez\", \"Pablo Iglesias\"]", "output": ""}
|
| 11 |
+
{"perplexity": 27.94659102833244, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Islamic State\", \"Denys Prokopenko\"]", "output": ""}
|
| 12 |
+
{"perplexity": 19.82960705271012, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Brazil\", \"India\"]", "output": ""}
|
| 13 |
+
{"perplexity": 17.163045771666674, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]", "output": ""}
|
| 14 |
+
{"perplexity": 16.9841061208009, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Sicily\", \"Calabria\"]", "output": ""}
|
| 15 |
+
{"perplexity": 20.605896218161583, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Oman\", \"Iran\"]", "output": ""}
|
| 16 |
+
{"perplexity": 24.1406492482174, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Sony\", \"ZEISS\"]", "output": ""}
|
| 17 |
+
{"perplexity": 28.77794668356292, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"FTX\", \"Alameda Research\"]", "output": ""}
|
| 18 |
+
{"perplexity": 20.027590627265358, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"UK\", \"Commonwealth\"]", "output": ""}
|
| 19 |
+
{"perplexity": 17.440436095062736, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Australia\", \"New Zealand\"]", "output": ""}
|
| 20 |
+
{"perplexity": 15.830918899112117, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Kylo Ren\", \"Rey\"]", "output": ""}
|
| 21 |
+
{"perplexity": 21.0930867075144, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Anne Boleyn\", \"Columbia Pictures\"]", "output": ""}
|
| 22 |
+
{"perplexity": 18.795693719391327, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"KGB\", \"CIA\"]", "output": ""}
|
| 23 |
+
{"perplexity": 24.752716697175153, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Rishi Sunak\", \"Joe Biden\"]", "output": ""}
|
| 24 |
+
{"perplexity": 17.258898917872514, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Quentin Tarantino\", \"Edgar Wright\"]", "output": ""}
|
| 25 |
+
{"perplexity": 18.16720395735172, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Keir Starmer\", \"Jeremy Corbyn\"]", "output": ""}
|
| 26 |
+
{"perplexity": 14.374677822783744, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"U.S.S.R.\", \"East Germany\"]", "output": ""}
|
| 27 |
+
{"perplexity": 15.176492696206285, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Harry Potter\", \"Severus Snape\"]", "output": ""}
|
| 28 |
+
{"perplexity": 16.759471369807315, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Tata Motors\", \"Jaguar\"]", "output": ""}
|
| 29 |
+
{"perplexity": 23.297150386103336, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Kendall Jenner\", \"Bergen\"]", "output": ""}
|
| 30 |
+
{"perplexity": 26.047382437014168, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Thomas Jefferson\", \"Kid Cudi\"]", "output": ""}
|
| 31 |
+
{"perplexity": 18.007608324091343, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"South Korea\", \"Japan\"]", "output": ""}
|
| 32 |
+
{"perplexity": 17.039868285833126, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Spain\", \"Portugal\"]", "output": ""}
|
| 33 |
+
{"perplexity": 17.610221335428907, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Liam Gallagher\", \"Noel Gallagher\"]", "output": ""}
|
| 34 |
+
{"perplexity": 16.03993235862338, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"France\", \"Belgium\"]", "output": ""}
|
| 35 |
+
{"perplexity": 19.388308193750234, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Turkish Airlines\", \"All Nippon Airways\"]", "output": ""}
|
| 36 |
+
{"perplexity": 16.339420767292967, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Malaysia\", \"Singapore\"]", "output": ""}
|
| 37 |
+
{"perplexity": 17.839628477765846, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"JP Morgan\", \"Morgan Stanley\"]", "output": ""}
|
| 38 |
+
{"perplexity": 15.943488174025783, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Sophia Loren\", \"Marlon Brando\"]", "output": ""}
|
| 39 |
+
{"perplexity": 11.637483072295929, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"J.R.R. Tolkien\", \"C.S. Lewis\"]", "output": ""}
|
| 40 |
+
{"perplexity": 17.8929385554547, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"China\", \"North Korea\"]", "output": ""}
|
| 41 |
+
{"perplexity": 15.952748503522818, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Margaret Thatcher\", \"Ronald Reagan\"]", "output": ""}
|
| 42 |
+
{"perplexity": 20.860635024477862, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Eva Per\u00f3n\", \"Interpol\"]", "output": ""}
|
| 43 |
+
{"perplexity": 19.85342743300289, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"UK\", \"Ireland\"]", "output": ""}
|
| 44 |
+
{"perplexity": 20.53497452480431, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Singapore\", \"Israel\"]", "output": ""}
|
| 45 |
+
{"perplexity": 16.320769402941558, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Eastern Orthodoxy\", \"Oriental Orthodoxy\"]", "output": ""}
|
| 46 |
+
{"perplexity": 19.674352494675706, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"India\", \"US\"]", "output": ""}
|
| 47 |
+
{"perplexity": 21.088991782680612, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Ed Gein\", \"Colonel Sanders\"]", "output": ""}
|
| 48 |
+
{"perplexity": 15.863644159771574, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Beatles\", \"Rolling Stones\"]", "output": ""}
|
| 49 |
+
{"perplexity": 21.75480568094606, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Red Bull\", \"GoPro\"]", "output": ""}
|
| 50 |
+
{"perplexity": 20.10925993861601, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"HSBC\", \"BlackRock\"]", "output": ""}
|
| 51 |
+
{"perplexity": 17.956418043885968, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Elsa\", \"Anna\"]", "output": ""}
|
| 52 |
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{"perplexity": 15.220221525150881, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Macbeth\", \"Banquo\"]", "output": ""}
|
| 53 |
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{"perplexity": 16.881067904759487, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Aznar\", \"Bush\"]", "output": ""}
|
| 54 |
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{"perplexity": 20.599761018466495, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Google\", \"Samsung\"]", "output": ""}
|
| 55 |
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{"perplexity": 17.71625020174177, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"IMF\", \"The World Bank\"]", "output": ""}
|
| 56 |
+
{"perplexity": 20.507646068539298, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Nikon\", \"Tokina\"]", "output": ""}
|
| 57 |
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{"perplexity": 16.97691641656262, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Walter White\", \"Gus Fring\"]", "output": ""}
|
| 58 |
+
{"perplexity": 16.889510286283713, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Ron Weasley\", \"Neville Longbottom\"]", "output": ""}
|
| 59 |
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{"perplexity": 13.28899934279099, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Darth Vader\", \"Emperor Palpatine\"]", "output": ""}
|
| 60 |
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{"perplexity": 14.377568886560212, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Coca-Cola\", \"McDonald's\"]", "output": ""}
|
| 61 |
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{"perplexity": 18.773680100911896, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Instagram\", \"WhatsApp\"]", "output": ""}
|
| 62 |
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{"perplexity": 22.792128222496697, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Noah Schnapp\", \"Galatasaray S.K.\"]", "output": ""}
|
| 63 |
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{"perplexity": 18.91530160785344, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"US\", \"Canada\"]", "output": ""}
|
| 64 |
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{"perplexity": 19.54537524877762, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Bob Marley\", \"Abu Bakr\"]", "output": ""}
|
| 65 |
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{"perplexity": 21.224832614672813, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Jeff Bezos\", \"GitHub\"]", "output": ""}
|
| 66 |
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{"perplexity": 21.19793452982288, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Hong Kong\", \"HSBC\"]", "output": ""}
|
| 67 |
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{"perplexity": 15.898543182014746, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"United States\", \"United Kingdom\"]", "output": ""}
|
| 68 |
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{"perplexity": 15.915717897632277, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Porter Wagoner\", \"Dolly Parton\"]", "output": ""}
|
| 69 |
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{"perplexity": 25.511488083001595, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Achilles\", \"Jonathan Bailey\"]", "output": ""}
|
| 70 |
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{"perplexity": 21.739979434026008, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Linus Sebastian\", \"Marques Brownlee\"]", "output": ""}
|
| 71 |
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{"perplexity": 18.55670864088484, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Catherine Zeta-Jones\", \"Johnny Knoxville\"]", "output": ""}
|
| 72 |
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{"perplexity": 21.849919033025596, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Amazon\", \"Royal Mail\"]", "output": ""}
|
| 73 |
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{"perplexity": 19.300740838167677, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"The Beatles\", \"Queen\"]", "output": ""}
|
| 74 |
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{"perplexity": 19.751851968767625, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Benedict Cumberbatch\", \"Hanukkah\"]", "output": ""}
|
| 75 |
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{"perplexity": 22.101071665140296, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Huawei\", \"China\"]", "output": ""}
|
| 76 |
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{"perplexity": 23.700065657597218, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Rishi Sunak\", \"Emmanuel Macron\"]", "output": ""}
|
| 77 |
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{"perplexity": 22.165964055161343, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Microsoft\", \"LinkedIn\"]", "output": ""}
|
| 78 |
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{"perplexity": 24.779133602640066, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Paul Rudd\", \"Memento\"]", "output": ""}
|
| 79 |
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{"perplexity": 19.406286562600396, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Russia\", \"Georgia\"]", "output": ""}
|
| 80 |
+
{"perplexity": 16.916459812001968, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Germany\", \"France\"]", "output": ""}
|
| 81 |
+
{"perplexity": 20.13389841335815, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Stephen Hawking\", \"Brian Cox\"]", "output": ""}
|
| 82 |
+
{"perplexity": 14.016105270195544, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Jean-Michel Basquiat\", \"Andy Warhol\"]", "output": ""}
|
| 83 |
+
{"perplexity": 24.642519993864937, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Mark Drakeford\", \"Rishi Sunak\"]", "output": ""}
|
| 84 |
+
{"perplexity": 25.07932242757912, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"J\u00fcrgen Klopp\", \"Exo\"]", "output": ""}
|
| 85 |
+
{"perplexity": 21.99833974266933, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Windows\", \"Xbox\"]", "output": ""}
|
| 86 |
+
{"perplexity": 25.226295476221896, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Saturn\", \"Rachel Bilson\"]", "output": ""}
|
| 87 |
+
{"perplexity": 22.838647841237663, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Ottoman Empire\", \"Snowpiercer\"]", "output": ""}
|
| 88 |
+
{"perplexity": 18.27922872758974, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Johnny Cash\", \"Waylon Jennings\"]", "output": ""}
|
| 89 |
+
{"perplexity": 17.591948575851422, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"UN\", \"NATO\"]", "output": ""}
|
| 90 |
+
{"perplexity": 19.0689043097259, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Boris Johnson\", \"Emmanuel Macron\"]", "output": ""}
|
| 91 |
+
{"perplexity": 15.743163060725056, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Cersei Lannister\", \"Euron Greyjoy\"]", "output": ""}
|
| 92 |
+
{"perplexity": 18.13941535918511, "input": "entities that are friends or allies:\n* [\"Aznar\", \"Bush\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]\n* [\"Japan\", \"Taiwan\"]", "output": ""}
|
experiments/results/lm_lc_3shots_1seed/davinci/ppl.influenced_by.jsonl
ADDED
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@@ -0,0 +1,93 @@
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| 1 |
+
{"perplexity": 17.76595642002153, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Prince Harry\", \"Monarchy\"]", "output": ""}
|
| 2 |
+
{"perplexity": 18.073101823227223, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"F1\", \"social media\"]", "output": ""}
|
| 3 |
+
{"perplexity": 13.308820314168019, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Elton John\", \"Elvis Presley\"]", "output": ""}
|
| 4 |
+
{"perplexity": 18.627002728062866, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Jack Black\", \"Waffen-SS\"]", "output": ""}
|
| 5 |
+
{"perplexity": 11.939156375497825, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Game of Thrones\", \"Lord of the Rings\"]", "output": ""}
|
| 6 |
+
{"perplexity": 14.229762069143808, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Canon\", \"Nikon\"]", "output": ""}
|
| 7 |
+
{"perplexity": 12.84977906890763, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Thomas Aquinas\", \"Aristotle\"]", "output": ""}
|
| 8 |
+
{"perplexity": 14.770448978810377, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Android\", \"iOS\"]", "output": ""}
|
| 9 |
+
{"perplexity": 21.15114817904419, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Charles Baudelaire\", \"Tornado MRCA\"]", "output": ""}
|
| 10 |
+
{"perplexity": 18.752448991264032, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"trending music\", \"TikTok\"]", "output": ""}
|
| 11 |
+
{"perplexity": 14.297654044915483, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Xi Jinping\", \"Kim Jong-il\"]", "output": ""}
|
| 12 |
+
{"perplexity": 13.889308188971684, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Beethoven\", \"romanticism\"]", "output": ""}
|
| 13 |
+
{"perplexity": 12.894380346290257, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Edgar Allan Poe\", \"Romanticism\"]", "output": ""}
|
| 14 |
+
{"perplexity": 16.654895694745537, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"US\", \"NASA\"]", "output": ""}
|
| 15 |
+
{"perplexity": 15.802363997305827, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Wales\", \"Westminster\"]", "output": ""}
|
| 16 |
+
{"perplexity": 17.206987963015106, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Sierra Leone\", \"Pulp fiction\"]", "output": ""}
|
| 17 |
+
{"perplexity": 14.939539811075944, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Ethereum\", \"Bitcoin\"]", "output": ""}
|
| 18 |
+
{"perplexity": 14.121140798578377, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Theresa May\", \"David Cameron\"]", "output": ""}
|
| 19 |
+
{"perplexity": 16.59911032617165, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Anna Delvey\", \"Bernie Madoff\"]", "output": ""}
|
| 20 |
+
{"perplexity": 13.30373741359536, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Lord of the Rings\", \"Beowulf\"]", "output": ""}
|
| 21 |
+
{"perplexity": 14.270325920284971, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Andrew Johnson\", \"Abraham Lincoln\"]", "output": ""}
|
| 22 |
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| 23 |
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| 24 |
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| 26 |
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| 31 |
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| 36 |
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| 37 |
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| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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{"perplexity": 15.547214589254985, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Eamon de Valera\", \"James Napper Tandy\"]", "output": ""}
|
| 44 |
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|
| 45 |
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|
| 46 |
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{"perplexity": 18.5533176889905, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Cobra Kai\", \"Anna Chlumsky\"]", "output": ""}
|
| 47 |
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{"perplexity": 13.849069321492085, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Harry Potter\", \"Wizard of Oz\"]", "output": ""}
|
| 48 |
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{"perplexity": 11.628995475747642, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Coca-Cola\", \"Pepsi\"]", "output": ""}
|
| 49 |
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{"perplexity": 14.506783759193741, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Apple Music\", \"Spotify\"]", "output": ""}
|
| 50 |
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{"perplexity": 14.481087456813043, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Singaporean food\", \"Malaysian food\"]", "output": ""}
|
| 51 |
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{"perplexity": 16.4885504888854, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Guess\", \"Gucci\"]", "output": ""}
|
| 52 |
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{"perplexity": 15.84568542770533, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Commonwealth\", \"United Kingdom\"]", "output": ""}
|
| 53 |
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{"perplexity": 16.395863218542512, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"machine learning\", \"Google\"]", "output": ""}
|
| 54 |
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{"perplexity": 15.73874319976449, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Antonio Salazar\", \"fascism\"]", "output": ""}
|
| 55 |
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{"perplexity": 15.85887874724437, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Facebook\", \"LinkedIn\"]", "output": ""}
|
| 56 |
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{"perplexity": 13.634459005380686, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Hank Williams\", \"Jimmie Rodgers\"]", "output": ""}
|
| 57 |
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{"perplexity": 24.529127042237533, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"painters\", \"Stable Diffusion\"]", "output": ""}
|
| 58 |
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{"perplexity": 18.877483312401896, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Walmart\", \"Rivaldo\"]", "output": ""}
|
| 59 |
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{"perplexity": 18.5224656713006, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Sauron\", \"Shiba Inu\"]", "output": ""}
|
| 60 |
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{"perplexity": 13.85823433896248, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Bruno Mars\", \"James Brown\"]", "output": ""}
|
| 61 |
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|
| 62 |
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{"perplexity": 16.55652716940455, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"heavy metal\", \"punk music\"]", "output": ""}
|
| 63 |
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{"perplexity": 15.31589561579116, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Moon\", \"G\u00f6bekli Tepe\"]", "output": ""}
|
| 64 |
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{"perplexity": 16.456915318860684, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"English\", \"William Shakespeare\"]", "output": ""}
|
| 65 |
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{"perplexity": 18.137267412669026, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Beatles\", \"Alice in Wonderland\"]", "output": ""}
|
| 66 |
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|
| 67 |
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{"perplexity": 18.066879765728686, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Gilbert Gottfried\", \"Mike Krieger\"]", "output": ""}
|
| 68 |
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{"perplexity": 15.463102396520922, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Vladimir Lenin\", \"chess\"]", "output": ""}
|
| 69 |
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{"perplexity": 12.329460784784525, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Pepsi\", \"Coca-Cola\"]", "output": ""}
|
| 70 |
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{"perplexity": 15.211091448796294, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Alicia Vikander\", \"Richard Attenborough\"]", "output": ""}
|
| 71 |
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{"perplexity": 16.635613533124857, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Luke Bryan\", \"Hank Williams\"]", "output": ""}
|
| 72 |
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|
| 73 |
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{"perplexity": 19.797500776942854, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Allu Arjun\", \"Aaron Ramsey\"]", "output": ""}
|
| 74 |
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{"perplexity": 16.843864813804213, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Stephen King\", \"Arthur Machen\"]", "output": ""}
|
| 75 |
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{"perplexity": 14.134787438391829, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Bangladesh\", \"India\"]", "output": ""}
|
| 76 |
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{"perplexity": 16.786731794002907, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"hamburger\", \"Germany\"]", "output": ""}
|
| 77 |
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{"perplexity": 13.008070057693539, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Plato\", \"Socrates\"]", "output": ""}
|
| 78 |
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{"perplexity": 12.690149175581272, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Messi\", \"Maradona\"]", "output": ""}
|
| 79 |
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{"perplexity": 13.779727871808756, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Oasis\", \"Blur\"]", "output": ""}
|
| 80 |
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{"perplexity": 13.029691263974087, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Quentin Tarantino\", \"Sergio Leone\"]", "output": ""}
|
| 81 |
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{"perplexity": 14.919653249294408, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"European Union\", \"Germany\"]", "output": ""}
|
| 82 |
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{"perplexity": 17.73272377423256, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Stephen Foster\", \"Thomas Moore\"]", "output": ""}
|
| 83 |
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{"perplexity": 15.536256854659962, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Hoover\", \"Dyson\"]", "output": ""}
|
| 84 |
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{"perplexity": 13.550213543241908, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Mark Rothko\", \"Claude Monet\"]", "output": ""}
|
| 85 |
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{"perplexity": 14.407895112279142, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"James Brown\", \"Michael Jackson\"]", "output": ""}
|
| 86 |
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{"perplexity": 15.315654403553086, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Windows\", \"Linux\"]", "output": ""}
|
| 87 |
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{"perplexity": 15.221695979022885, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Radiohead\", \"David Bowie\"]", "output": ""}
|
| 88 |
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{"perplexity": 16.37856723797019, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"NVIDIA\", \"AMD\"]", "output": ""}
|
| 89 |
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{"perplexity": 14.276668566560334, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"India\", \"Gandhi\"]", "output": ""}
|
| 90 |
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{"perplexity": 16.607040392010035, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Viktor Yushchenko\", \"Bonnie Wright\"]", "output": ""}
|
| 91 |
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{"perplexity": 11.942858287849273, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Beethoven\", \"Mozart\"]", "output": ""}
|
| 92 |
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{"perplexity": 14.962316843854495, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Bitcoin\", \"blockchain\"]", "output": ""}
|
| 93 |
+
{"perplexity": 14.53401109710543, "input": "what has influenced different entities:\n* [\"Plato\", \"Socrates\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Hong Kong\", \"China\"]", "output": ""}
|
experiments/results/lm_lc_3shots_1seed/davinci/ppl.known_for.jsonl
ADDED
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| 1 |
+
{"perplexity": 11.012802203133296, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Hawaii\", \"ukulele\"]", "output": ""}
|
| 2 |
+
{"perplexity": 8.687172181469736, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Paris\", \"Eiffel Tower\"]", "output": ""}
|
| 3 |
+
{"perplexity": 12.351213248838228, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Sweden\", \"pop\"]", "output": ""}
|
| 4 |
+
{"perplexity": 13.432382595225123, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Memphis Depay\", \"Mendelian inheritance\"]", "output": ""}
|
| 5 |
+
{"perplexity": 11.67042622272849, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"France\", \"beaches\"]", "output": ""}
|
| 6 |
+
{"perplexity": 11.351517415791708, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"France\", \"cars\"]", "output": ""}
|
| 7 |
+
{"perplexity": 9.899036559474693, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Alphabet Inc.\", \"Google\"]", "output": ""}
|
| 8 |
+
{"perplexity": 7.8720914863106355, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Vincent Van Gogh\", \"The Starry Night\"]", "output": ""}
|
| 9 |
+
{"perplexity": 12.050680169834363, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Italy\", \"Hawaiian pizza\"]", "output": ""}
|
| 10 |
+
{"perplexity": 14.43078668947814, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Japan\", \"glass product\"]", "output": ""}
|
| 11 |
+
{"perplexity": 13.734161944125125, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"France\", \"rococo movement\"]", "output": ""}
|
| 12 |
+
{"perplexity": 11.487969414456352, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Europe\", \"The Final Countdown\"]", "output": ""}
|
| 13 |
+
{"perplexity": 11.030538633502774, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Sophie Turner\", \"Sylvia Plath\"]", "output": ""}
|
| 14 |
+
{"perplexity": 10.367458039667715, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Bill Nye\", \"scientist\"]", "output": ""}
|
| 15 |
+
{"perplexity": 10.680114658129193, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Mercedes Benz\", \"build quality\"]", "output": ""}
|
| 16 |
+
{"perplexity": 10.023342187561019, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Hawaii\", \"beaches\"]", "output": ""}
|
| 17 |
+
{"perplexity": 9.667883284888326, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Jackson Pollock\", \"action painting\"]", "output": ""}
|
| 18 |
+
{"perplexity": 14.201282941703457, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Andhra Pradesh\", \"Martinique\"]", "output": ""}
|
| 19 |
+
{"perplexity": 9.101138917918886, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Keanu Reeves\", \"The Matrix\"]", "output": ""}
|
| 20 |
+
{"perplexity": 10.824897884117672, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Christopher Columbus\", \"India\"]", "output": ""}
|
| 21 |
+
{"perplexity": 8.547010616346437, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Picasso\", \"Guernica\"]", "output": ""}
|
| 22 |
+
{"perplexity": 9.895947601579449, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Italy\", \"Renaissance\"]", "output": ""}
|
| 23 |
+
{"perplexity": 12.479870012204168, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Korea\", \"Breakdance\"]", "output": ""}
|
| 24 |
+
{"perplexity": 10.95839171248866, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Spain\", \"olive oil\"]", "output": ""}
|
| 25 |
+
{"perplexity": 8.269390802535144, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"C.S. Lewis\", \"The Screwtape Letters\"]", "output": ""}
|
| 26 |
+
{"perplexity": 9.286313763771597, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Corsica\", \"Napoleon Bonaparte\"]", "output": ""}
|
| 27 |
+
{"perplexity": 11.143960096450698, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Rafael Nadal\", \"Ralph Macchio\"]", "output": ""}
|
| 28 |
+
{"perplexity": 11.863882793304127, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Walther P38\", \"Lupin the Third\"]", "output": ""}
|
| 29 |
+
{"perplexity": 15.219973983952796, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Richard Harris\", \"Curcuma longa\"]", "output": ""}
|
| 30 |
+
{"perplexity": 10.18762339066631, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Smashing Pumpkins\", \"Thru the eyes of Ruby\"]", "output": ""}
|
| 31 |
+
{"perplexity": 12.936233696903725, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"India\", \"rum\"]", "output": ""}
|
| 32 |
+
{"perplexity": 14.435386313058379, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Parasite\", \"Jersey\"]", "output": ""}
|
| 33 |
+
{"perplexity": 10.579451514630499, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"India\", \"Gurkhas\"]", "output": ""}
|
| 34 |
+
{"perplexity": 9.624287753824374, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Amazon\", \"Alexa\"]", "output": ""}
|
| 35 |
+
{"perplexity": 10.434872879613192, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Thomas Edison\", \"telephone\"]", "output": ""}
|
| 36 |
+
{"perplexity": 13.501995728697617, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Buffon\", \"PSG\"]", "output": ""}
|
| 37 |
+
{"perplexity": 9.275290785992953, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Alfred Hitchcock\", \"horror\"]", "output": ""}
|
| 38 |
+
{"perplexity": 8.114919358709262, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"William Shakespeare\", \"Romeo and Juliet\"]", "output": ""}
|
| 39 |
+
{"perplexity": 9.123604646662297, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Thomas Edison\", \"light bulb\"]", "output": ""}
|
| 40 |
+
{"perplexity": 12.557752556719507, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Michael Jordan\", \"Tessa Thompson\"]", "output": ""}
|
| 41 |
+
{"perplexity": 10.192175568403657, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Inglourious Basterds\", \"Sergio Busquets\"]", "output": ""}
|
| 42 |
+
{"perplexity": 10.371392563964283, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Boris Johnson\", \"Brexit\"]", "output": ""}
|
| 43 |
+
{"perplexity": 11.852257492486999, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Georgia\", \"Joseph Stalin\"]", "output": ""}
|
| 44 |
+
{"perplexity": 11.392206458069042, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"China\", \"coffee\"]", "output": ""}
|
| 45 |
+
{"perplexity": 16.134818872117084, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"OpenAI\", \"ChatGPT\"]", "output": ""}
|
| 46 |
+
{"perplexity": 9.425605428763276, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Tesco\", \"groceries\"]", "output": ""}
|
| 47 |
+
{"perplexity": 10.000842311734804, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Amazon\", \"cloud computing\"]", "output": ""}
|
| 48 |
+
{"perplexity": 10.329014050541103, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Nvidia\", \"GPUs\"]", "output": ""}
|
| 49 |
+
{"perplexity": 9.555584975326287, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Tony Blair\", \"Iraq War\"]", "output": ""}
|
| 50 |
+
{"perplexity": 11.301274564934605, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Germany\", \"techno music\"]", "output": ""}
|
| 51 |
+
{"perplexity": 10.984633804168718, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Michelangelo\", \"Pop Art\"]", "output": ""}
|
| 52 |
+
{"perplexity": 13.549989904256032, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Gilmore Girls\", \"OpenAI\"]", "output": ""}
|
| 53 |
+
{"perplexity": 13.216541060298944, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Ragnar\u00f6k\", \"Little Boy\"]", "output": ""}
|
| 54 |
+
{"perplexity": 11.581180973370925, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Pizzagate\", \"Hillary Clinton\"]", "output": ""}
|
| 55 |
+
{"perplexity": 10.430553638096823, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"George Orwell\", \"Coming Up for Air\"]", "output": ""}
|
| 56 |
+
{"perplexity": 10.738292917080438, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Italy\", \"wine\"]", "output": ""}
|
| 57 |
+
{"perplexity": 8.014843965359344, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Coca-Cola\", \"Pepsi\"]", "output": ""}
|
| 58 |
+
{"perplexity": 10.71484722535846, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Spotify\", \"Podcasts\"]", "output": ""}
|
| 59 |
+
{"perplexity": 11.387293534414832, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Valencia\", \"paella\"]", "output": ""}
|
| 60 |
+
{"perplexity": 12.143261747637034, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"The Office\", \"IBM\"]", "output": ""}
|
| 61 |
+
{"perplexity": 11.992818445355779, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Romania\", \"Roman Catholicism\"]", "output": ""}
|
| 62 |
+
{"perplexity": 11.531787363577715, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"George Washington\", \"Kiribati\"]", "output": ""}
|
| 63 |
+
{"perplexity": 13.5034420692678, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Charles Bronson\", \"Rory McIlroy\"]", "output": ""}
|
| 64 |
+
{"perplexity": 10.705903418054698, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Belgium\", \"wine\"]", "output": ""}
|
| 65 |
+
{"perplexity": 11.807937110015251, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Luka Modri\u0107\", \"Rottweiler\"]", "output": ""}
|
| 66 |
+
{"perplexity": 9.266486166526226, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Switzerland\", \"mountains\"]", "output": ""}
|
| 67 |
+
{"perplexity": 10.189855294087922, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Assassin's Creed\", \"history\"]", "output": ""}
|
| 68 |
+
{"perplexity": 9.245031585094598, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Red Bull\", \"energy drinks\"]", "output": ""}
|
| 69 |
+
{"perplexity": 9.003804253430497, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Johnny Cash\", \"Ring of Fire\"]", "output": ""}
|
| 70 |
+
{"perplexity": 9.673335251299937, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Microsoft\", \"Xbox\"]", "output": ""}
|
| 71 |
+
{"perplexity": 9.792414434884904, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Canada\", \"maple syrup\"]", "output": ""}
|
| 72 |
+
{"perplexity": 10.259619779547867, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"France\", \"cheese\"]", "output": ""}
|
| 73 |
+
{"perplexity": 11.694094235102506, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"France\", \"beer\"]", "output": ""}
|
| 74 |
+
{"perplexity": 9.241171001779499, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Nintendo\", \"Super Mario Bros.\"]", "output": ""}
|
| 75 |
+
{"perplexity": 11.558588476901996, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"democracy\", \"North Korea\"]", "output": ""}
|
| 76 |
+
{"perplexity": 9.828519636660562, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": ""}
|
| 77 |
+
{"perplexity": 9.569531667707667, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Harry Potter\", \"Bloomsbury\"]", "output": ""}
|
| 78 |
+
{"perplexity": 10.877383945982782, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"France\", \"mountains\"]", "output": ""}
|
| 79 |
+
{"perplexity": 10.545520245798455, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"UK\", \"rain\"]", "output": ""}
|
| 80 |
+
{"perplexity": 9.88546699759498, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Matt Damon\", \"Ocean's Eleven\"]", "output": ""}
|
| 81 |
+
{"perplexity": 10.473331052503415, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Switzerland\", \"banking secrecy\"]", "output": ""}
|
| 82 |
+
{"perplexity": 9.221033426721235, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Adidas\", \"Yeezy Boost\"]", "output": ""}
|
| 83 |
+
{"perplexity": 9.817436456977543, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Portugal\", \"Fado\"]", "output": ""}
|
| 84 |
+
{"perplexity": 11.677212369413843, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Italy\", \"tea\"]", "output": ""}
|
| 85 |
+
{"perplexity": 9.806022977330542, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Beatles\", \"Come Together\"]", "output": ""}
|
| 86 |
+
{"perplexity": 10.560518633650362, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Afro-Brazilians\", \"Capoeira\"]", "output": ""}
|
| 87 |
+
{"perplexity": 10.45115746335574, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Steve Jobs\", \"AirPods\"]", "output": ""}
|
| 88 |
+
{"perplexity": 9.512246581608906, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"Apple Watch\"]", "output": ""}
|
| 89 |
+
{"perplexity": 12.095263003085448, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Frank Abagnale Jr\", \"doctor\"]", "output": ""}
|
| 90 |
+
{"perplexity": 13.996347341735543, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Meta\", \"Instagram\"]", "output": ""}
|
| 91 |
+
{"perplexity": 8.162383795732778, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Jeff Goldblum\", \"Jurassic Park\"]", "output": ""}
|
| 92 |
+
{"perplexity": 7.868221589978442, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]", "output": ""}
|
| 93 |
+
{"perplexity": 11.718507175025843, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Neil Armstrong\", \"Korean War\"]", "output": ""}
|
| 94 |
+
{"perplexity": 9.973838572599705, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"France\", \"baguette\"]", "output": ""}
|
| 95 |
+
{"perplexity": 8.654151026961744, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Queen\", \"Bohemian Rhapsody\"]", "output": ""}
|
| 96 |
+
{"perplexity": 11.911832064985873, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Pixar\", \"Novosibirsk\"]", "output": ""}
|
| 97 |
+
{"perplexity": 8.469893566904856, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Greggs\", \"sausage rolls\"]", "output": ""}
|
| 98 |
+
{"perplexity": 10.961662923971474, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Japan\", \"sake\"]", "output": ""}
|
| 99 |
+
{"perplexity": 10.636820048703147, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"IKEA\", \"food\"]", "output": ""}
|
| 100 |
+
{"perplexity": 11.621659327824295, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"William Grant & Sons\", \"gin\"]", "output": ""}
|
| 101 |
+
{"perplexity": 9.617142161802319, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Netherlands\", \"tulips\"]", "output": ""}
|
| 102 |
+
{"perplexity": 12.505188510514772, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"LAMY\", \"notebook\"]", "output": ""}
|
| 103 |
+
{"perplexity": 9.386459492311252, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Harvey Weinstein\", \"Miramax\"]", "output": ""}
|
| 104 |
+
{"perplexity": 10.727283583756718, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Scotland\", \"whisky\"]", "output": ""}
|
| 105 |
+
{"perplexity": 9.490371954778597, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"MacBook\"]", "output": ""}
|
| 106 |
+
{"perplexity": 9.268343660618267, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Steve Jobs\", \"Apple\"]", "output": ""}
|
| 107 |
+
{"perplexity": 10.476638376771787, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Beatles\", \"I Me Mine\"]", "output": ""}
|
| 108 |
+
{"perplexity": 9.01058706662422, "input": "examples of what entities are known for:\n* [\"Cadbury\", \"chocolate\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Google\", \"search engine\"]", "output": ""}
|
experiments/results/lm_lc_3shots_1seed/davinci/ppl.similar_to.jsonl
ADDED
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@@ -0,0 +1,93 @@
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| 1 |
+
{"perplexity": 11.521542872736767, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"pill\", \"tablet\"]", "output": ""}
|
| 2 |
+
{"perplexity": 11.581133088903506, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Eduardo Saverin\", \"Guinea-Bissau\"]", "output": ""}
|
| 3 |
+
{"perplexity": 11.641534723956594, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Dionysus\", \"Toyota Corolla\"]", "output": ""}
|
| 4 |
+
{"perplexity": 11.646698471116581, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Great Britian\", \"British Empire\"]", "output": ""}
|
| 5 |
+
{"perplexity": 11.283342898546909, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"English\", \"Persian\"]", "output": ""}
|
| 6 |
+
{"perplexity": 10.468584834198447, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Chess\", \"Rubik's Cube\"]", "output": ""}
|
| 7 |
+
{"perplexity": 9.041717402124968, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Star Wars\", \"Star Trek\"]", "output": ""}
|
| 8 |
+
{"perplexity": 13.060329918423307, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Anne Heche\", \"Ponzi scheme\"]", "output": ""}
|
| 9 |
+
{"perplexity": 15.898608055025212, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Chris Pine\", \"Good Friday\"]", "output": ""}
|
| 10 |
+
{"perplexity": 10.841650077229653, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Sudocrem\", \"Germolene\"]", "output": ""}
|
| 11 |
+
{"perplexity": 9.459923734501643, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Yugoslavia\", \"Albania\"]", "output": ""}
|
| 12 |
+
{"perplexity": 9.429091146408378, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Beatles\", \"Rolling Stones\"]", "output": ""}
|
| 13 |
+
{"perplexity": 10.782542753071244, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"decision tree\", \"neural network\"]", "output": ""}
|
| 14 |
+
{"perplexity": 10.226430839920209, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Suits\", \"Law & Order\"]", "output": ""}
|
| 15 |
+
{"perplexity": 11.681975868478943, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Titanic\", \"Superbad\"]", "output": ""}
|
| 16 |
+
{"perplexity": 10.12196848929807, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Seleucid Empire\", \"Macedonian Empire\"]", "output": ""}
|
| 17 |
+
{"perplexity": 11.74881309415439, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Doctor Who\", \"Timeless\"]", "output": ""}
|
| 18 |
+
{"perplexity": 12.422645960657693, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Srebrenica massacre\", \"Rock Hudson\"]", "output": ""}
|
| 19 |
+
{"perplexity": 10.104578326297908, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Arnold Classic\", \"Mr. Olympia\"]", "output": ""}
|
| 20 |
+
{"perplexity": 12.268301408006993, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Italy\", \"Superman\"]", "output": ""}
|
| 21 |
+
{"perplexity": 10.991291913821843, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Alibaba\", \"Amazon\"]", "output": ""}
|
| 22 |
+
{"perplexity": 9.972790466131984, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Indiana Jones\", \"Star Wars\"]", "output": ""}
|
| 23 |
+
{"perplexity": 14.51222126224399, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"NQ64\", \"Wetherspoons\"]", "output": ""}
|
| 24 |
+
{"perplexity": 10.394705722901545, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Pepsi\", \"Fanta\"]", "output": ""}
|
| 25 |
+
{"perplexity": 13.016892780790581, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Homebase\", \"IKEA\"]", "output": ""}
|
| 26 |
+
{"perplexity": 11.234865984170382, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"ramen\", \"udon\"]", "output": ""}
|
| 27 |
+
{"perplexity": 9.802899088317, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"England\", \"Wales\"]", "output": ""}
|
| 28 |
+
{"perplexity": 10.064412033059758, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"sphinx\", \"sphynx\"]", "output": ""}
|
| 29 |
+
{"perplexity": 9.907434754771751, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"iPod\", \"iPad\"]", "output": ""}
|
| 30 |
+
{"perplexity": 9.91866156916686, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Olympic Games\", \"X Games\"]", "output": ""}
|
| 31 |
+
{"perplexity": 8.765351363102365, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"McDonald's\", \"Burger King\"]", "output": ""}
|
| 32 |
+
{"perplexity": 11.356877022574912, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Minnesota\", \"Wisconsin\"]", "output": ""}
|
| 33 |
+
{"perplexity": 11.304354718461255, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Slack\", \"Microsoft Teams\"]", "output": ""}
|
| 34 |
+
{"perplexity": 13.64477154347494, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Peter Phillips\", \"Christine Baranski\"]", "output": ""}
|
| 35 |
+
{"perplexity": 12.924751458735148, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Jenna Ortega\", \"Anglo-Saxons\"]", "output": ""}
|
| 36 |
+
{"perplexity": 16.577879170006167, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Karl Urban\", \"France 24\"]", "output": ""}
|
| 37 |
+
{"perplexity": 9.881374384258864, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Sudan\", \"South Sudan\"]", "output": ""}
|
| 38 |
+
{"perplexity": 11.9048617014442, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Gameboy\", \"Nintendo\"]", "output": ""}
|
| 39 |
+
{"perplexity": 11.75108005293175, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Grammy Award\", \"Novel Prize\"]", "output": ""}
|
| 40 |
+
{"perplexity": 13.76568499300692, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"George Ezra\", \"Lead Belly\"]", "output": ""}
|
| 41 |
+
{"perplexity": 9.942664511773293, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Cardiff\", \"Swansea\"]", "output": ""}
|
| 42 |
+
{"perplexity": 10.060506927156712, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Steve Jobs\", \"Tim Cook\"]", "output": ""}
|
| 43 |
+
{"perplexity": 10.818209928921101, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Counter Strike\", \"Rainbow Six\"]", "output": ""}
|
| 44 |
+
{"perplexity": 10.859523600771556, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Hawaii\", \"Guam\"]", "output": ""}
|
| 45 |
+
{"perplexity": 9.604394907382341, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Scrabble\", \"Jenga\"]", "output": ""}
|
| 46 |
+
{"perplexity": 10.25203095671093, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Christmas\", \"Easter\"]", "output": ""}
|
| 47 |
+
{"perplexity": 11.862132484431939, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"fusilli\", \"rotini\"]", "output": ""}
|
| 48 |
+
{"perplexity": 10.942867818404434, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Coachella\", \"Woodstock\"]", "output": ""}
|
| 49 |
+
{"perplexity": 12.52126651450381, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Avatar\", \"Archimedes\"]", "output": ""}
|
| 50 |
+
{"perplexity": 13.173831217424238, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Shark\", \"Bush\"]", "output": ""}
|
| 51 |
+
{"perplexity": 15.195978309920271, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Eva Braun\", \"Phil Jackson\"]", "output": ""}
|
| 52 |
+
{"perplexity": 8.289535628458077, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Coca-Cola\", \"Pepsi\"]", "output": ""}
|
| 53 |
+
{"perplexity": 13.536754177767332, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Joe Burrow\", \"Edward Scissorhands\"]", "output": ""}
|
| 54 |
+
{"perplexity": 9.964461749127674, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Australia\", \"New Zealand\"]", "output": ""}
|
| 55 |
+
{"perplexity": 10.941081451252863, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Edward I\", \"William the Conqueror\"]", "output": ""}
|
| 56 |
+
{"perplexity": 10.196947884171884, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Frank Sinatra\", \"Ella Fitzgerald\"]", "output": ""}
|
| 57 |
+
{"perplexity": 11.110823020808105, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"New York\", \"York\"]", "output": ""}
|
| 58 |
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{"perplexity": 10.716764430452395, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Uzbekistan\", \"United States\"]", "output": ""}
|
| 59 |
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{"perplexity": 10.297771590858881, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Red Bull\", \"Monster Energy\"]", "output": ""}
|
| 60 |
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{"perplexity": 8.654546137665715, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Champions League\", \"Europa League\"]", "output": ""}
|
| 61 |
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{"perplexity": 11.700567711344029, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Cerave\", \"Nivea\"]", "output": ""}
|
| 62 |
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{"perplexity": 11.472528616043284, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Galaxy\", \"iPhone\"]", "output": ""}
|
| 63 |
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{"perplexity": 12.60083962407216, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Mehmet \u00d6z\", \"David Schwimmer\"]", "output": ""}
|
| 64 |
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{"perplexity": 9.656864208503807, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Disney\", \"Pixar\"]", "output": ""}
|
| 65 |
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{"perplexity": 9.769249720495973, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Batman\", \"Iron Man\"]", "output": ""}
|
| 66 |
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{"perplexity": 10.57830633043193, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Gisele B\u00fcndchen\", \"Orson Welles\"]", "output": ""}
|
| 67 |
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{"perplexity": 10.134244830083105, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Estonia\", \"Finland\"]", "output": ""}
|
| 68 |
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{"perplexity": 9.375964274057788, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"The Avengers\", \"The Justice League\"]", "output": ""}
|
| 69 |
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{"perplexity": 8.956308791425895, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Nicolae Ceau\u0219escu\", \"Javier Hern\u00e1ndez\"]", "output": ""}
|
| 70 |
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{"perplexity": 9.726098480262937, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Adidas\", \"Nike\"]", "output": ""}
|
| 71 |
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{"perplexity": 10.49734756059812, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Java\", \"Javascript\"]", "output": ""}
|
| 72 |
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{"perplexity": 11.903389695923064, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"bourbon\", \"Scotch whisky\"]", "output": ""}
|
| 73 |
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{"perplexity": 10.657793286758132, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Alaska\", \"Canada\"]", "output": ""}
|
| 74 |
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{"perplexity": 10.62692989895098, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Spain\", \"Italy\"]", "output": ""}
|
| 75 |
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{"perplexity": 10.943271694623245, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"banana\", \"plantain\"]", "output": ""}
|
| 76 |
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{"perplexity": 9.585380945296778, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Firefox\", \"Chrome\"]", "output": ""}
|
| 77 |
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{"perplexity": 9.34254201941779, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Pecorino Romano\", \"Parmesan\"]", "output": ""}
|
| 78 |
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{"perplexity": 8.556723547704353, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Ligue 1\", \"Bundesliga\"]", "output": ""}
|
| 79 |
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{"perplexity": 10.231712685389533, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Netflix\", \"Amazon Prime Video\"]", "output": ""}
|
| 80 |
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{"perplexity": 12.488869421992558, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Primark\", \"Shein\"]", "output": ""}
|
| 81 |
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{"perplexity": 11.659269693118492, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Dominos' Pizza\", \"Pizza Hut\"]", "output": ""}
|
| 82 |
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{"perplexity": 11.519886458063258, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"South Africa\", \"Bhagavad Gita\"]", "output": ""}
|
| 83 |
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{"perplexity": 10.140417048123545, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Germany\", \"France\"]", "output": ""}
|
| 84 |
+
{"perplexity": 12.66473476261141, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Kindle\", \"Jeff Bezos\"]", "output": ""}
|
| 85 |
+
{"perplexity": 8.490692793265872, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Harry Potter\", \"Lord of the Rings\"]", "output": ""}
|
| 86 |
+
{"perplexity": 12.5216565758624, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Yakutia\", \"Turkey\"]", "output": ""}
|
| 87 |
+
{"perplexity": 12.090148992668317, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"PS5\", \"XBox\"]", "output": ""}
|
| 88 |
+
{"perplexity": 10.348041897563048, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Monet\", \"Manet\"]", "output": ""}
|
| 89 |
+
{"perplexity": 10.030711946029358, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Glastonbury\", \"Roskilde\"]", "output": ""}
|
| 90 |
+
{"perplexity": 10.859372668764662, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Telugu\", \"Tamil\"]", "output": ""}
|
| 91 |
+
{"perplexity": 9.412879503893068, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Batman\", \"Superman\"]", "output": ""}
|
| 92 |
+
{"perplexity": 11.967168860320754, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"cannoli\", \"canneloni\"]", "output": ""}
|
| 93 |
+
{"perplexity": 11.496946055057007, "input": "examples of entities that are similar:\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Gerald Ford\", \"Duran Duran\"]", "output": ""}
|
experiments/results/lm_lc_3shots_2seed/davinci/ppl.competitor__rival_of.jsonl
ADDED
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| 1 |
+
{"perplexity": 16.546728804272977, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Jeremy Corbyn\", \"Keir Starmer\"]", "output": ""}
|
| 2 |
+
{"perplexity": 30.038565626958952, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"EuroBasket 2022\", \"Murad III\"]", "output": ""}
|
| 3 |
+
{"perplexity": 15.233788744236222, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Bugatti\", \"Lamborghini\"]", "output": ""}
|
| 4 |
+
{"perplexity": 15.6752475103075, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Apple\", \"Microsoft\"]", "output": ""}
|
| 5 |
+
{"perplexity": 16.651648194665928, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Lee Chong Wei\", \"Lin Dan\"]", "output": ""}
|
| 6 |
+
{"perplexity": 15.96142559179423, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft\", \"Google\"]", "output": ""}
|
| 7 |
+
{"perplexity": 22.50247751570843, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Samsung\", \"Pitbull\"]", "output": ""}
|
| 8 |
+
{"perplexity": 12.397670494239723, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Cristiano Ronaldo\", \"Lionel Messi\"]", "output": ""}
|
| 9 |
+
{"perplexity": 16.58533268940673, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Germany\", \"Austria\"]", "output": ""}
|
| 10 |
+
{"perplexity": 19.732782602505004, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Dyson\", \"Dualit\"]", "output": ""}
|
| 11 |
+
{"perplexity": 19.99145032713652, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Netflix\", \"Disney Plus\"]", "output": ""}
|
| 12 |
+
{"perplexity": 14.898203435847913, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"PyTorch\", \"TensorFlow\"]", "output": ""}
|
| 13 |
+
{"perplexity": 16.200458909942835, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Dell\", \"HP\"]", "output": ""}
|
| 14 |
+
{"perplexity": 17.982704278670134, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Sanpellegrino\", \"Volvic\"]", "output": ""}
|
| 15 |
+
{"perplexity": 16.677400985385866, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Mikhail Khodorkovsky\", \"Hezbollah\"]", "output": ""}
|
| 16 |
+
{"perplexity": 15.91422465764414, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"British Airways\", \"Aer Lingus\"]", "output": ""}
|
| 17 |
+
{"perplexity": 15.76677653540188, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": ""}
|
| 18 |
+
{"perplexity": 16.726217050301507, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Federal Reserve Board\", \"Bank of England\"]", "output": ""}
|
| 19 |
+
{"perplexity": 20.83926814863035, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"American Psycho\", \"Chihuahua\"]", "output": ""}
|
| 20 |
+
{"perplexity": 19.264248053629615, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Mars\", \"Snickers\"]", "output": ""}
|
| 21 |
+
{"perplexity": 18.379462202568426, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"ASML\", \"LAM Research\"]", "output": ""}
|
| 22 |
+
{"perplexity": 22.248326535043972, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Jake Paul\", \"Tangled\"]", "output": ""}
|
| 23 |
+
{"perplexity": 15.337712812066266, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Nikhita Khrushchev\", \"Leonid Brezhnev\"]", "output": ""}
|
| 24 |
+
{"perplexity": 18.050904548828928, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Razer\", \"Dell\"]", "output": ""}
|
| 25 |
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{"perplexity": 16.69677120171138, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Spotify\", \"Apple\"]", "output": ""}
|
| 26 |
+
{"perplexity": 19.849960302234123, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Kourtney Kardashian\", \"Jenna Fischer\"]", "output": ""}
|
| 27 |
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{"perplexity": 15.820541466527436, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Twitter\", \"WhatsApp\"]", "output": ""}
|
| 28 |
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{"perplexity": 16.872657910520633, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Manchester United\", \"Arsenal\"]", "output": ""}
|
| 29 |
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{"perplexity": 15.141502368328549, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"WeChat\", \"WhatsApp\"]", "output": ""}
|
| 30 |
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{"perplexity": 17.310355739546644, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Saudi Arabia\", \"Israel\"]", "output": ""}
|
| 31 |
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{"perplexity": 17.807984927294736, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Bashar al-Assad\", \"Christianity\"]", "output": ""}
|
| 32 |
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{"perplexity": 20.980762906857823, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Didier Deschamps\", \"Scott Adkins\"]", "output": ""}
|
| 33 |
+
{"perplexity": 13.434736436417493, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Lionel Messi\", \"Kylian Mbapp\u00e9\"]", "output": ""}
|
| 34 |
+
{"perplexity": 26.779952059536573, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Louis Philippe\", \"Peter England\"]", "output": ""}
|
| 35 |
+
{"perplexity": 23.666103357492897, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Steve Jobs\", \"Atlanta\"]", "output": ""}
|
| 36 |
+
{"perplexity": 19.60965113830742, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Bella Hadid\", \"Choi Woo-shik\"]", "output": ""}
|
| 37 |
+
{"perplexity": 24.358473438606076, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Mali\", \"Frances McDormand\"]", "output": ""}
|
| 38 |
+
{"perplexity": 13.172243621835978, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Coca-Cola Company\", \"Pepsi\"]", "output": ""}
|
| 39 |
+
{"perplexity": 11.98874546700483, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Khabib Nurmagomedov\", \"Conor McGregor\"]", "output": ""}
|
| 40 |
+
{"perplexity": 16.201281906537965, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Twitter\", \"Facebook\"]", "output": ""}
|
| 41 |
+
{"perplexity": 15.908740181735434, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Cardiff University\", \"Swansea University\"]", "output": ""}
|
| 42 |
+
{"perplexity": 12.646698806788294, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Isaac Newton\", \"Gottfried Leibniz\"]", "output": ""}
|
| 43 |
+
{"perplexity": 17.278425526717662, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Casio\", \"Texas Instruments\"]", "output": ""}
|
| 44 |
+
{"perplexity": 15.214727319891221, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Arsenal\", \"Tottenham Hotspur\"]", "output": ""}
|
| 45 |
+
{"perplexity": 17.677018085672273, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Nintendo\", \"Xbox\"]", "output": ""}
|
| 46 |
+
{"perplexity": 17.563901135020398, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"H&M\", \"Zalora\"]", "output": ""}
|
| 47 |
+
{"perplexity": 14.98790314410111, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Serena Williams\", \"Andy Murray\"]", "output": ""}
|
| 48 |
+
{"perplexity": 16.238532767448138, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Liverpool FC\", \"Manchester United\"]", "output": ""}
|
| 49 |
+
{"perplexity": 15.419103417162495, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Apple\", \"Samsung\"]", "output": ""}
|
| 50 |
+
{"perplexity": 15.39534197087839, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Expedia\", \"Trivago\"]", "output": ""}
|
| 51 |
+
{"perplexity": 12.626295744336856, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Heathrow Airport\", \"Gatwick Airport\"]", "output": ""}
|
| 52 |
+
{"perplexity": 16.463811624736344, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Mario\", \"Bowser\"]", "output": ""}
|
| 53 |
+
{"perplexity": 16.356398647705028, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"US\", \"China\"]", "output": ""}
|
| 54 |
+
{"perplexity": 16.70578429672903, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Olympic Games\", \"Helicobacter pylori\"]", "output": ""}
|
| 55 |
+
{"perplexity": 13.512330306401312, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"BMW\", \"Mercedes-Benz\"]", "output": ""}
|
| 56 |
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{"perplexity": 21.45184833586359, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Blur\", \"Oasis\"]", "output": ""}
|
| 57 |
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{"perplexity": 16.292960198021117, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Israel\", \"Palestine\"]", "output": ""}
|
| 58 |
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{"perplexity": 16.020907224243356, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Toshiba\", \"LG\"]", "output": ""}
|
| 59 |
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{"perplexity": 19.09420948129855, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Apple\", \"Rolex\"]", "output": ""}
|
| 60 |
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{"perplexity": 18.913039605613793, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Tesla\", \"Skoda\"]", "output": ""}
|
| 61 |
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{"perplexity": 17.830126037515097, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Thomas Jefferson\", \"Alexander Hamilton\"]", "output": ""}
|
| 62 |
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{"perplexity": 16.74984434145125, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Chester FC\", \"Wrexham FC\"]", "output": ""}
|
| 63 |
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{"perplexity": 19.573023916502528, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Line of Duty\", \"CSI\"]", "output": ""}
|
| 64 |
+
{"perplexity": 20.7596313588243, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Gladiator\", \"Imelda Staunton\"]", "output": ""}
|
| 65 |
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{"perplexity": 17.010166574945572, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"UK\", \"France\"]", "output": ""}
|
| 66 |
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{"perplexity": 14.382881899297448, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Nike\", \"Adidas\"]", "output": ""}
|
| 67 |
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{"perplexity": 13.769398042813027, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Alain Prost\", \"Ayrton Senna\"]", "output": ""}
|
| 68 |
+
{"perplexity": 15.436731083494873, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Manchester City\", \"Manchester United\"]", "output": ""}
|
| 69 |
+
{"perplexity": 17.507168762410657, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"BBC\", \"The Guardian\"]", "output": ""}
|
| 70 |
+
{"perplexity": 15.835838960870625, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Amazon\", \"Ebay\"]", "output": ""}
|
| 71 |
+
{"perplexity": 16.170970053498735, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Sir Alex Ferguson\", \"Jose Mourinho\"]", "output": ""}
|
| 72 |
+
{"perplexity": 26.261122899909676, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"ASEAN\", \"Helen Hunt\"]", "output": ""}
|
| 73 |
+
{"perplexity": 15.96693078697185, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Hans Zimmer\", \"John Williams\"]", "output": ""}
|
| 74 |
+
{"perplexity": 18.460565549452628, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Noel Gallagher\", \"Liam Gallaguer\"]", "output": ""}
|
| 75 |
+
{"perplexity": 12.650190274407324, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"McDonald's\", \"Burger King\"]", "output": ""}
|
| 76 |
+
{"perplexity": 16.05928465106156, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Neoclassicism\", \"Romanticism\"]", "output": ""}
|
| 77 |
+
{"perplexity": 29.32442723635408, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Royal Feast\", \"Fast X\"]", "output": ""}
|
| 78 |
+
{"perplexity": 17.418196600254593, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Eminem\", \"MGK\"]", "output": ""}
|
| 79 |
+
{"perplexity": 16.395913534539584, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]", "output": ""}
|
| 80 |
+
{"perplexity": 20.148599134006496, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Katharine Hepburn\", \"Abrahamic religion\"]", "output": ""}
|
| 81 |
+
{"perplexity": 13.632557149187788, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Martin Luther King Jr.\", \"Malcolm X\"]", "output": ""}
|
| 82 |
+
{"perplexity": 22.81349214767877, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Ligue 1\", \"Hayley Atwell\"]", "output": ""}
|
| 83 |
+
{"perplexity": 22.433224617854105, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Vikram\", \"Coen brothers\"]", "output": ""}
|
| 84 |
+
{"perplexity": 17.035315677639925, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Russia\", \"China\"]", "output": ""}
|
| 85 |
+
{"perplexity": 20.7309082355185, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Mohamed Salah\", \"Korea\"]", "output": ""}
|
| 86 |
+
{"perplexity": 18.346113996194543, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Kingston\", \"Samsung\"]", "output": ""}
|
| 87 |
+
{"perplexity": 16.32805695246105, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"AWS\", \"GCP\"]", "output": ""}
|
| 88 |
+
{"perplexity": 14.730956570831506, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"Beatles\", \"Rolling Stones\"]", "output": ""}
|
| 89 |
+
{"perplexity": 19.86024490579805, "input": "entities that are competitors or rivals:\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Dell\", \"HP\"]\n* [\"John Tyler\", \"Whig Party\"]", "output": ""}
|
experiments/results/lm_lc_3shots_2seed/davinci/ppl.friend__ally_of.jsonl
ADDED
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@@ -0,0 +1,92 @@
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| 1 |
+
{"perplexity": 13.456664910779578, "input": "entities that are friends or allies:\n* [\"CIA\", \"MI6\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Rishi Sunak\", \"Leo Varadkar\"]", "output": ""}
|
| 2 |
+
{"perplexity": 13.371102172774002, "input": "entities that are friends or allies:\n* [\"CIA\", \"MI6\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Gondor\", \"Rohan\"]", "output": ""}
|
| 3 |
+
{"perplexity": 12.324911605811948, "input": "entities that are friends or allies:\n* [\"CIA\", \"MI6\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"FIFA\", \"UEFA\"]", "output": ""}
|
| 4 |
+
{"perplexity": 11.279032610793056, "input": "entities that are friends or allies:\n* [\"CIA\", \"MI6\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Joseph Stalin\", \"Josip Broz Tito\"]", "output": ""}
|
| 5 |
+
{"perplexity": 12.227148573441736, "input": "entities that are friends or allies:\n* [\"CIA\", \"MI6\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Hillary Clinton\", \"Barack Obama\"]", "output": ""}
|
| 6 |
+
{"perplexity": 13.36499170920425, "input": "entities that are friends or allies:\n* [\"CIA\", \"MI6\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Di Maio\", \"Salvini\"]", "output": ""}
|
| 7 |
+
{"perplexity": 15.61364271517048, "input": "entities that are friends or allies:\n* [\"CIA\", \"MI6\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Yahoo\", \"Yahoo Japan\"]", "output": ""}
|
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| 87 |
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{"perplexity": 15.73520033146706, "input": "entities that are friends or allies:\n* [\"CIA\", \"MI6\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Ottoman Empire\", \"Snowpiercer\"]", "output": ""}
|
| 88 |
+
{"perplexity": 14.080147948965614, "input": "entities that are friends or allies:\n* [\"CIA\", \"MI6\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Johnny Cash\", \"Waylon Jennings\"]", "output": ""}
|
| 89 |
+
{"perplexity": 13.482758039647244, "input": "entities that are friends or allies:\n* [\"CIA\", \"MI6\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"UN\", \"NATO\"]", "output": ""}
|
| 90 |
+
{"perplexity": 12.270952143497889, "input": "entities that are friends or allies:\n* [\"CIA\", \"MI6\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Boris Johnson\", \"Emmanuel Macron\"]", "output": ""}
|
| 91 |
+
{"perplexity": 11.757896078038232, "input": "entities that are friends or allies:\n* [\"CIA\", \"MI6\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Cersei Lannister\", \"Euron Greyjoy\"]", "output": ""}
|
| 92 |
+
{"perplexity": 13.224882601312492, "input": "entities that are friends or allies:\n* [\"CIA\", \"MI6\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Japan\", \"Taiwan\"]", "output": ""}
|
experiments/results/lm_lc_3shots_2seed/davinci/ppl.influenced_by.jsonl
ADDED
|
@@ -0,0 +1,93 @@
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| 1 |
+
{"perplexity": 22.89063703012228, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Prince Harry\", \"Monarchy\"]", "output": ""}
|
| 2 |
+
{"perplexity": 23.744688178023626, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"F1\", \"social media\"]", "output": ""}
|
| 3 |
+
{"perplexity": 17.515110039512795, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Elton John\", \"Elvis Presley\"]", "output": ""}
|
| 4 |
+
{"perplexity": 23.82151358958662, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Jack Black\", \"Waffen-SS\"]", "output": ""}
|
| 5 |
+
{"perplexity": 14.907356548842078, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Game of Thrones\", \"Lord of the Rings\"]", "output": ""}
|
| 6 |
+
{"perplexity": 18.26979178814367, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Canon\", \"Nikon\"]", "output": ""}
|
| 7 |
+
{"perplexity": 16.731713539938664, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Thomas Aquinas\", \"Aristotle\"]", "output": ""}
|
| 8 |
+
{"perplexity": 19.32482147987712, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Android\", \"iOS\"]", "output": ""}
|
| 9 |
+
{"perplexity": 25.224806211694123, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Charles Baudelaire\", \"Tornado MRCA\"]", "output": ""}
|
| 10 |
+
{"perplexity": 23.40255958400717, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"trending music\", \"TikTok\"]", "output": ""}
|
| 11 |
+
{"perplexity": 18.304901583586066, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Xi Jinping\", \"Kim Jong-il\"]", "output": ""}
|
| 12 |
+
{"perplexity": 18.353601346843988, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Beethoven\", \"romanticism\"]", "output": ""}
|
| 13 |
+
{"perplexity": 16.018803845830007, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Edgar Allan Poe\", \"Romanticism\"]", "output": ""}
|
| 14 |
+
{"perplexity": 22.207346447972622, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"US\", \"NASA\"]", "output": ""}
|
| 15 |
+
{"perplexity": 20.482237785384505, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Wales\", \"Westminster\"]", "output": ""}
|
| 16 |
+
{"perplexity": 23.132034088401262, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Sierra Leone\", \"Pulp fiction\"]", "output": ""}
|
| 17 |
+
{"perplexity": 17.708653455305132, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Ethereum\", \"Bitcoin\"]", "output": ""}
|
| 18 |
+
{"perplexity": 17.512304710043807, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Theresa May\", \"David Cameron\"]", "output": ""}
|
| 19 |
+
{"perplexity": 20.538640046124996, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Anna Delvey\", \"Bernie Madoff\"]", "output": ""}
|
| 20 |
+
{"perplexity": 17.091110220044033, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Lord of the Rings\", \"Beowulf\"]", "output": ""}
|
| 21 |
+
{"perplexity": 18.83693597657023, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Andrew Johnson\", \"Abraham Lincoln\"]", "output": ""}
|
| 22 |
+
{"perplexity": 20.525499219462237, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"LinkedIn\", \"Facebook\"]", "output": ""}
|
| 23 |
+
{"perplexity": 16.91293339998533, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Picasso\", \"Cezanne\"]", "output": ""}
|
| 24 |
+
{"perplexity": 20.14709416763815, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Playstation\", \"Xbox\"]", "output": ""}
|
| 25 |
+
{"perplexity": 22.65585134017341, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Kevin Spacey\", \"Tenerife\"]", "output": ""}
|
| 26 |
+
{"perplexity": 20.751459193312705, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Saudi Arabia\", \"US\"]", "output": ""}
|
| 27 |
+
{"perplexity": 19.471681557025786, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Fitbit\", \"heart rate monitor\"]", "output": ""}
|
| 28 |
+
{"perplexity": 18.620176984754583, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Taiwan\", \"China\"]", "output": ""}
|
| 29 |
+
{"perplexity": 14.696409636445235, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Kylian Mbappe\", \"Cristiano Ronaldo\"]", "output": ""}
|
| 30 |
+
{"perplexity": 17.898750930697073, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Picasso\", \"cubism\"]", "output": ""}
|
| 31 |
+
{"perplexity": 18.522286947933946, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Miley Cyrus\", \"Lorde\"]", "output": ""}
|
| 32 |
+
{"perplexity": 17.086078592452207, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Neymar\", \"Alexis S\u00e1nchez\"]", "output": ""}
|
| 33 |
+
{"perplexity": 19.619317701761425, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Smashing Pumpkins\", \"Beatles\"]", "output": ""}
|
| 34 |
+
{"perplexity": 21.63350699303323, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Portuguese\", \"The Prestige\"]", "output": ""}
|
| 35 |
+
{"perplexity": 22.23307948797968, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Luke Evans\", \"Ava Gardner\"]", "output": ""}
|
| 36 |
+
{"perplexity": 20.092354186946885, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"MacOS\", \"Linux\"]", "output": ""}
|
| 37 |
+
{"perplexity": 20.266369343700536, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Transport for Wales\", \"National Rail\"]", "output": ""}
|
| 38 |
+
{"perplexity": 17.20230853783366, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Herbie Hancock\", \"Miles Davis\"]", "output": ""}
|
| 39 |
+
{"perplexity": 17.69910426631928, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"India\", \"Hinduism\"]", "output": ""}
|
| 40 |
+
{"perplexity": 20.025310562349908, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"hip hop\", \"jazz\"]", "output": ""}
|
| 41 |
+
{"perplexity": 16.438142264967624, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Bob Dylan\", \"Woody Guthrie\"]", "output": ""}
|
| 42 |
+
{"perplexity": 22.223962507867938, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Tim Burton\", \"German expressionism\"]", "output": ""}
|
| 43 |
+
{"perplexity": 18.097356377296048, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Eamon de Valera\", \"James Napper Tandy\"]", "output": ""}
|
| 44 |
+
{"perplexity": 19.398909634884124, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Joe Biden\", \"Donald Trump\"]", "output": ""}
|
| 45 |
+
{"perplexity": 25.70410948405592, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Shaquille O'Neal\", \"Selim II\"]", "output": ""}
|
| 46 |
+
{"perplexity": 25.3165279355543, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Cobra Kai\", \"Anna Chlumsky\"]", "output": ""}
|
| 47 |
+
{"perplexity": 16.54719283427762, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Harry Potter\", \"Wizard of Oz\"]", "output": ""}
|
| 48 |
+
{"perplexity": 14.851837802309031, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Coca-Cola\", \"Pepsi\"]", "output": ""}
|
| 49 |
+
{"perplexity": 18.663768064501223, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Apple Music\", \"Spotify\"]", "output": ""}
|
| 50 |
+
{"perplexity": 18.794666237372226, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Singaporean food\", \"Malaysian food\"]", "output": ""}
|
| 51 |
+
{"perplexity": 19.195200858196685, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Guess\", \"Gucci\"]", "output": ""}
|
| 52 |
+
{"perplexity": 18.27560145403821, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Commonwealth\", \"United Kingdom\"]", "output": ""}
|
| 53 |
+
{"perplexity": 21.361047120850852, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"machine learning\", \"Google\"]", "output": ""}
|
| 54 |
+
{"perplexity": 18.213566871388274, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Antonio Salazar\", \"fascism\"]", "output": ""}
|
| 55 |
+
{"perplexity": 19.70717503388436, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Facebook\", \"LinkedIn\"]", "output": ""}
|
| 56 |
+
{"perplexity": 17.362130840215677, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Hank Williams\", \"Jimmie Rodgers\"]", "output": ""}
|
| 57 |
+
{"perplexity": 30.011220568352595, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"painters\", \"Stable Diffusion\"]", "output": ""}
|
| 58 |
+
{"perplexity": 23.95383803286423, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Walmart\", \"Rivaldo\"]", "output": ""}
|
| 59 |
+
{"perplexity": 23.155859370937087, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Sauron\", \"Shiba Inu\"]", "output": ""}
|
| 60 |
+
{"perplexity": 17.66141210795981, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Bruno Mars\", \"James Brown\"]", "output": ""}
|
| 61 |
+
{"perplexity": 21.82824172697304, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Brazil\", \"Spain\"]", "output": ""}
|
| 62 |
+
{"perplexity": 21.06599028004027, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"heavy metal\", \"punk music\"]", "output": ""}
|
| 63 |
+
{"perplexity": 19.340587878533743, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Moon\", \"G\u00f6bekli Tepe\"]", "output": ""}
|
| 64 |
+
{"perplexity": 20.390361447933667, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"English\", \"William Shakespeare\"]", "output": ""}
|
| 65 |
+
{"perplexity": 23.085574940181104, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Beatles\", \"Alice in Wonderland\"]", "output": ""}
|
| 66 |
+
{"perplexity": 14.374204108726442, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"impressionism\", \"Edouard Manet\"]", "output": ""}
|
| 67 |
+
{"perplexity": 21.26957770192942, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Gilbert Gottfried\", \"Mike Krieger\"]", "output": ""}
|
| 68 |
+
{"perplexity": 19.106553650731765, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Vladimir Lenin\", \"chess\"]", "output": ""}
|
| 69 |
+
{"perplexity": 15.511524063846197, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Pepsi\", \"Coca-Cola\"]", "output": ""}
|
| 70 |
+
{"perplexity": 17.89250328696197, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Alicia Vikander\", \"Richard Attenborough\"]", "output": ""}
|
| 71 |
+
{"perplexity": 20.78688499960075, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Luke Bryan\", \"Hank Williams\"]", "output": ""}
|
| 72 |
+
{"perplexity": 17.579346962082774, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Bill Gates\", \"Steve Jobs\"]", "output": ""}
|
| 73 |
+
{"perplexity": 24.747520864858654, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Allu Arjun\", \"Aaron Ramsey\"]", "output": ""}
|
| 74 |
+
{"perplexity": 21.25122031828896, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Stephen King\", \"Arthur Machen\"]", "output": ""}
|
| 75 |
+
{"perplexity": 17.955040031462765, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Bangladesh\", \"India\"]", "output": ""}
|
| 76 |
+
{"perplexity": 20.98737260864081, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"hamburger\", \"Germany\"]", "output": ""}
|
| 77 |
+
{"perplexity": 17.217608471424843, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]", "output": ""}
|
| 78 |
+
{"perplexity": 18.16824808258602, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Messi\", \"Maradona\"]", "output": ""}
|
| 79 |
+
{"perplexity": 18.889895769583866, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Oasis\", \"Blur\"]", "output": ""}
|
| 80 |
+
{"perplexity": 16.62154063044601, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Quentin Tarantino\", \"Sergio Leone\"]", "output": ""}
|
| 81 |
+
{"perplexity": 17.549372968618925, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"European Union\", \"Germany\"]", "output": ""}
|
| 82 |
+
{"perplexity": 23.761980073383985, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Stephen Foster\", \"Thomas Moore\"]", "output": ""}
|
| 83 |
+
{"perplexity": 21.906854691774726, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Hoover\", \"Dyson\"]", "output": ""}
|
| 84 |
+
{"perplexity": 16.748231358387972, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Mark Rothko\", \"Claude Monet\"]", "output": ""}
|
| 85 |
+
{"perplexity": 18.854819540671514, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"James Brown\", \"Michael Jackson\"]", "output": ""}
|
| 86 |
+
{"perplexity": 20.51477879160535, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Windows\", \"Linux\"]", "output": ""}
|
| 87 |
+
{"perplexity": 19.739131855834867, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Radiohead\", \"David Bowie\"]", "output": ""}
|
| 88 |
+
{"perplexity": 20.78026390761178, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"NVIDIA\", \"AMD\"]", "output": ""}
|
| 89 |
+
{"perplexity": 18.202537391565006, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"India\", \"Gandhi\"]", "output": ""}
|
| 90 |
+
{"perplexity": 19.62653661064722, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Viktor Yushchenko\", \"Bonnie Wright\"]", "output": ""}
|
| 91 |
+
{"perplexity": 15.614637159079841, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Beethoven\", \"Mozart\"]", "output": ""}
|
| 92 |
+
{"perplexity": 18.300429335162256, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Bitcoin\", \"blockchain\"]", "output": ""}
|
| 93 |
+
{"perplexity": 17.62305706464877, "input": "what has influenced different entities:\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Europe\", \"European Union\"]\n* [\"Hong Kong\", \"China\"]", "output": ""}
|
experiments/results/lm_lc_3shots_2seed/davinci/ppl.known_for.jsonl
ADDED
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@@ -0,0 +1,108 @@
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| 1 |
+
{"perplexity": 12.362330435308294, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Hawaii\", \"ukulele\"]", "output": ""}
|
| 2 |
+
{"perplexity": 9.285895752665182, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Paris\", \"Eiffel Tower\"]", "output": ""}
|
| 3 |
+
{"perplexity": 14.868767304008506, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Sweden\", \"pop\"]", "output": ""}
|
| 4 |
+
{"perplexity": 15.492908504861926, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Memphis Depay\", \"Mendelian inheritance\"]", "output": ""}
|
| 5 |
+
{"perplexity": 13.071713892239949, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"France\", \"beaches\"]", "output": ""}
|
| 6 |
+
{"perplexity": 12.987996674785116, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"France\", \"cars\"]", "output": ""}
|
| 7 |
+
{"perplexity": 11.352888696430155, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Alphabet Inc.\", \"Google\"]", "output": ""}
|
| 8 |
+
{"perplexity": 8.956618808838227, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Vincent Van Gogh\", \"The Starry Night\"]", "output": ""}
|
| 9 |
+
{"perplexity": 13.28703792436558, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Italy\", \"Hawaiian pizza\"]", "output": ""}
|
| 10 |
+
{"perplexity": 17.602604190614773, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Japan\", \"glass product\"]", "output": ""}
|
| 11 |
+
{"perplexity": 15.54288808668837, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"France\", \"rococo movement\"]", "output": ""}
|
| 12 |
+
{"perplexity": 12.024341903728232, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Europe\", \"The Final Countdown\"]", "output": ""}
|
| 13 |
+
{"perplexity": 12.528729759400479, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Sophie Turner\", \"Sylvia Plath\"]", "output": ""}
|
| 14 |
+
{"perplexity": 11.699349369400394, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Bill Nye\", \"scientist\"]", "output": ""}
|
| 15 |
+
{"perplexity": 12.832174303172595, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Mercedes Benz\", \"build quality\"]", "output": ""}
|
| 16 |
+
{"perplexity": 11.184011889870545, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Hawaii\", \"beaches\"]", "output": ""}
|
| 17 |
+
{"perplexity": 11.429632922321698, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Jackson Pollock\", \"action painting\"]", "output": ""}
|
| 18 |
+
{"perplexity": 16.422353129875535, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Andhra Pradesh\", \"Martinique\"]", "output": ""}
|
| 19 |
+
{"perplexity": 9.783908967404146, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Keanu Reeves\", \"The Matrix\"]", "output": ""}
|
| 20 |
+
{"perplexity": 12.547895918694566, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Christopher Columbus\", \"India\"]", "output": ""}
|
| 21 |
+
{"perplexity": 9.615463952178276, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Picasso\", \"Guernica\"]", "output": ""}
|
| 22 |
+
{"perplexity": 11.08973391859271, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Italy\", \"Renaissance\"]", "output": ""}
|
| 23 |
+
{"perplexity": 13.533908264447179, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Korea\", \"Breakdance\"]", "output": ""}
|
| 24 |
+
{"perplexity": 12.780207433636935, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Spain\", \"olive oil\"]", "output": ""}
|
| 25 |
+
{"perplexity": 8.92248813838225, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"C.S. Lewis\", \"The Screwtape Letters\"]", "output": ""}
|
| 26 |
+
{"perplexity": 9.817319364290869, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Corsica\", \"Napoleon Bonaparte\"]", "output": ""}
|
| 27 |
+
{"perplexity": 12.110500750283215, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Rafael Nadal\", \"Ralph Macchio\"]", "output": ""}
|
| 28 |
+
{"perplexity": 12.180198233651913, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Walther P38\", \"Lupin the Third\"]", "output": ""}
|
| 29 |
+
{"perplexity": 18.60118829495687, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Richard Harris\", \"Curcuma longa\"]", "output": ""}
|
| 30 |
+
{"perplexity": 11.084962791101079, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Smashing Pumpkins\", \"Thru the eyes of Ruby\"]", "output": ""}
|
| 31 |
+
{"perplexity": 15.144720227476995, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"India\", \"rum\"]", "output": ""}
|
| 32 |
+
{"perplexity": 15.628219705913885, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Parasite\", \"Jersey\"]", "output": ""}
|
| 33 |
+
{"perplexity": 11.790081824730711, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"India\", \"Gurkhas\"]", "output": ""}
|
| 34 |
+
{"perplexity": 10.823078986958695, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Amazon\", \"Alexa\"]", "output": ""}
|
| 35 |
+
{"perplexity": 12.300610203767212, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Thomas Edison\", \"telephone\"]", "output": ""}
|
| 36 |
+
{"perplexity": 14.238090233675978, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Buffon\", \"PSG\"]", "output": ""}
|
| 37 |
+
{"perplexity": 10.981004190952419, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Alfred Hitchcock\", \"horror\"]", "output": ""}
|
| 38 |
+
{"perplexity": 8.915110632513377, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"William Shakespeare\", \"Romeo and Juliet\"]", "output": ""}
|
| 39 |
+
{"perplexity": 10.659376210970816, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Thomas Edison\", \"light bulb\"]", "output": ""}
|
| 40 |
+
{"perplexity": 13.67948656032962, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Michael Jordan\", \"Tessa Thompson\"]", "output": ""}
|
| 41 |
+
{"perplexity": 10.616222492597377, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Inglourious Basterds\", \"Sergio Busquets\"]", "output": ""}
|
| 42 |
+
{"perplexity": 11.740032736674243, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Boris Johnson\", \"Brexit\"]", "output": ""}
|
| 43 |
+
{"perplexity": 13.73178429827356, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Georgia\", \"Joseph Stalin\"]", "output": ""}
|
| 44 |
+
{"perplexity": 13.786217186406803, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"China\", \"coffee\"]", "output": ""}
|
| 45 |
+
{"perplexity": 18.359255393167697, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"OpenAI\", \"ChatGPT\"]", "output": ""}
|
| 46 |
+
{"perplexity": 11.000407076843345, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Tesco\", \"groceries\"]", "output": ""}
|
| 47 |
+
{"perplexity": 11.91757597060473, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Amazon\", \"cloud computing\"]", "output": ""}
|
| 48 |
+
{"perplexity": 12.108474923525756, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Nvidia\", \"GPUs\"]", "output": ""}
|
| 49 |
+
{"perplexity": 11.021981223409798, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Tony Blair\", \"Iraq War\"]", "output": ""}
|
| 50 |
+
{"perplexity": 12.578406320841871, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Germany\", \"techno music\"]", "output": ""}
|
| 51 |
+
{"perplexity": 12.364736967710483, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Michelangelo\", \"Pop Art\"]", "output": ""}
|
| 52 |
+
{"perplexity": 15.718334729904365, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Gilmore Girls\", \"OpenAI\"]", "output": ""}
|
| 53 |
+
{"perplexity": 14.971655506385357, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Ragnar\u00f6k\", \"Little Boy\"]", "output": ""}
|
| 54 |
+
{"perplexity": 13.053564046055111, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Pizzagate\", \"Hillary Clinton\"]", "output": ""}
|
| 55 |
+
{"perplexity": 11.659620010775576, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"George Orwell\", \"Coming Up for Air\"]", "output": ""}
|
| 56 |
+
{"perplexity": 12.653298797764059, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Italy\", \"wine\"]", "output": ""}
|
| 57 |
+
{"perplexity": 9.226772324236105, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Coca-Cola\", \"Pepsi\"]", "output": ""}
|
| 58 |
+
{"perplexity": 11.464608910006554, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Spotify\", \"Podcasts\"]", "output": ""}
|
| 59 |
+
{"perplexity": 12.91381937835777, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Valencia\", \"paella\"]", "output": ""}
|
| 60 |
+
{"perplexity": 13.274687054390494, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"The Office\", \"IBM\"]", "output": ""}
|
| 61 |
+
{"perplexity": 13.852555877424, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Romania\", \"Roman Catholicism\"]", "output": ""}
|
| 62 |
+
{"perplexity": 13.31492482996831, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"George Washington\", \"Kiribati\"]", "output": ""}
|
| 63 |
+
{"perplexity": 15.8936671356712, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Charles Bronson\", \"Rory McIlroy\"]", "output": ""}
|
| 64 |
+
{"perplexity": 12.538416252940106, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Belgium\", \"wine\"]", "output": ""}
|
| 65 |
+
{"perplexity": 12.398669269711897, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Luka Modri\u0107\", \"Rottweiler\"]", "output": ""}
|
| 66 |
+
{"perplexity": 10.894636684494724, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Switzerland\", \"mountains\"]", "output": ""}
|
| 67 |
+
{"perplexity": 11.914828711705614, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Assassin's Creed\", \"history\"]", "output": ""}
|
| 68 |
+
{"perplexity": 10.905595178632575, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Red Bull\", \"energy drinks\"]", "output": ""}
|
| 69 |
+
{"perplexity": 10.007838921446465, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Johnny Cash\", \"Ring of Fire\"]", "output": ""}
|
| 70 |
+
{"perplexity": 10.876684809035686, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Microsoft\", \"Xbox\"]", "output": ""}
|
| 71 |
+
{"perplexity": 11.348840663470392, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Canada\", \"maple syrup\"]", "output": ""}
|
| 72 |
+
{"perplexity": 11.382259522418908, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"France\", \"cheese\"]", "output": ""}
|
| 73 |
+
{"perplexity": 13.280222717395446, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"France\", \"beer\"]", "output": ""}
|
| 74 |
+
{"perplexity": 10.355750401764892, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Nintendo\", \"Super Mario Bros.\"]", "output": ""}
|
| 75 |
+
{"perplexity": 13.165190784355522, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"democracy\", \"North Korea\"]", "output": ""}
|
| 76 |
+
{"perplexity": 10.8724201754772, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"iPhone\"]", "output": ""}
|
| 77 |
+
{"perplexity": 10.411058145493097, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Harry Potter\", \"Bloomsbury\"]", "output": ""}
|
| 78 |
+
{"perplexity": 12.194893043754352, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"France\", \"mountains\"]", "output": ""}
|
| 79 |
+
{"perplexity": 12.509854242051153, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"UK\", \"rain\"]", "output": ""}
|
| 80 |
+
{"perplexity": 10.621569968723927, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Matt Damon\", \"Ocean's Eleven\"]", "output": ""}
|
| 81 |
+
{"perplexity": 12.06556156778229, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Switzerland\", \"banking secrecy\"]", "output": ""}
|
| 82 |
+
{"perplexity": 10.130440775826834, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Adidas\", \"Yeezy Boost\"]", "output": ""}
|
| 83 |
+
{"perplexity": 10.908880108371623, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Portugal\", \"Fado\"]", "output": ""}
|
| 84 |
+
{"perplexity": 13.660774580073639, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Italy\", \"tea\"]", "output": ""}
|
| 85 |
+
{"perplexity": 11.377766858612404, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Beatles\", \"Come Together\"]", "output": ""}
|
| 86 |
+
{"perplexity": 11.54481712191331, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Afro-Brazilians\", \"Capoeira\"]", "output": ""}
|
| 87 |
+
{"perplexity": 11.566658325155442, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Steve Jobs\", \"AirPods\"]", "output": ""}
|
| 88 |
+
{"perplexity": 10.846560799682441, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"Apple Watch\"]", "output": ""}
|
| 89 |
+
{"perplexity": 14.768588411336896, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Frank Abagnale Jr\", \"doctor\"]", "output": ""}
|
| 90 |
+
{"perplexity": 15.99447575280636, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Meta\", \"Instagram\"]", "output": ""}
|
| 91 |
+
{"perplexity": 8.535094778616656, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Jeff Goldblum\", \"Jurassic Park\"]", "output": ""}
|
| 92 |
+
{"perplexity": 8.616660388462918, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]", "output": ""}
|
| 93 |
+
{"perplexity": 12.764602518932735, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Neil Armstrong\", \"Korean War\"]", "output": ""}
|
| 94 |
+
{"perplexity": 10.973327908231505, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"France\", \"baguette\"]", "output": ""}
|
| 95 |
+
{"perplexity": 8.669183673863868, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Queen\", \"Bohemian Rhapsody\"]", "output": ""}
|
| 96 |
+
{"perplexity": 13.308455407082608, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Pixar\", \"Novosibirsk\"]", "output": ""}
|
| 97 |
+
{"perplexity": 9.948704753483618, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Greggs\", \"sausage rolls\"]", "output": ""}
|
| 98 |
+
{"perplexity": 13.180056680416033, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Japan\", \"sake\"]", "output": ""}
|
| 99 |
+
{"perplexity": 12.960402877066619, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"IKEA\", \"food\"]", "output": ""}
|
| 100 |
+
{"perplexity": 13.76331680573864, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"William Grant & Sons\", \"gin\"]", "output": ""}
|
| 101 |
+
{"perplexity": 11.144370679351457, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Netherlands\", \"tulips\"]", "output": ""}
|
| 102 |
+
{"perplexity": 14.614649032654722, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"LAMY\", \"notebook\"]", "output": ""}
|
| 103 |
+
{"perplexity": 10.189361680667183, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Harvey Weinstein\", \"Miramax\"]", "output": ""}
|
| 104 |
+
{"perplexity": 12.526655456941787, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Scotland\", \"whisky\"]", "output": ""}
|
| 105 |
+
{"perplexity": 10.654140775424635, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Apple\", \"MacBook\"]", "output": ""}
|
| 106 |
+
{"perplexity": 10.304086949773339, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Steve Jobs\", \"Apple\"]", "output": ""}
|
| 107 |
+
{"perplexity": 12.215662854635172, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Beatles\", \"I Me Mine\"]", "output": ""}
|
| 108 |
+
{"perplexity": 10.518521492539813, "input": "examples of what entities are known for:\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Google\", \"search engine\"]", "output": ""}
|
experiments/results/lm_lc_3shots_2seed/davinci/ppl.similar_to.jsonl
ADDED
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@@ -0,0 +1,93 @@
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| 1 |
+
{"perplexity": 8.652087940682998, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"pill\", \"tablet\"]", "output": ""}
|
| 2 |
+
{"perplexity": 9.260121673400068, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Eduardo Saverin\", \"Guinea-Bissau\"]", "output": ""}
|
| 3 |
+
{"perplexity": 9.597788727121138, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Dionysus\", \"Toyota Corolla\"]", "output": ""}
|
| 4 |
+
{"perplexity": 9.244290670411582, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Great Britian\", \"British Empire\"]", "output": ""}
|
| 5 |
+
{"perplexity": 9.019594482575094, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"English\", \"Persian\"]", "output": ""}
|
| 6 |
+
{"perplexity": 8.518626249528186, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Chess\", \"Rubik's Cube\"]", "output": ""}
|
| 7 |
+
{"perplexity": 7.4354705440514905, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Star Wars\", \"Star Trek\"]", "output": ""}
|
| 8 |
+
{"perplexity": 10.87767376552531, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Anne Heche\", \"Ponzi scheme\"]", "output": ""}
|
| 9 |
+
{"perplexity": 13.004122505415706, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Chris Pine\", \"Good Friday\"]", "output": ""}
|
| 10 |
+
{"perplexity": 8.778833523338578, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Sudocrem\", \"Germolene\"]", "output": ""}
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| 11 |
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{"perplexity": 7.689484483461403, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Yugoslavia\", \"Albania\"]", "output": ""}
|
| 12 |
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{"perplexity": 7.406117049272154, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Beatles\", \"Rolling Stones\"]", "output": ""}
|
| 13 |
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{"perplexity": 8.572379353989124, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"decision tree\", \"neural network\"]", "output": ""}
|
| 14 |
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{"perplexity": 10.369762806401328, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Suits\", \"Law & Order\"]", "output": ""}
|
| 15 |
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{"perplexity": 10.799972745576202, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Titanic\", \"Superbad\"]", "output": ""}
|
| 16 |
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{"perplexity": 7.847038981044755, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Seleucid Empire\", \"Macedonian Empire\"]", "output": ""}
|
| 17 |
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{"perplexity": 9.9773511853712, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Doctor Who\", \"Timeless\"]", "output": ""}
|
| 18 |
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{"perplexity": 10.154029724475574, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Srebrenica massacre\", \"Rock Hudson\"]", "output": ""}
|
| 19 |
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{"perplexity": 8.378891063438905, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Arnold Classic\", \"Mr. Olympia\"]", "output": ""}
|
| 20 |
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{"perplexity": 10.013250984601147, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Italy\", \"Superman\"]", "output": ""}
|
| 21 |
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{"perplexity": 8.704116000551295, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Alibaba\", \"Amazon\"]", "output": ""}
|
| 22 |
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{"perplexity": 8.42273723860599, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Indiana Jones\", \"Star Wars\"]", "output": ""}
|
| 23 |
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{"perplexity": 12.30920730839181, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"NQ64\", \"Wetherspoons\"]", "output": ""}
|
| 24 |
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{"perplexity": 7.663502095163617, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Pepsi\", \"Fanta\"]", "output": ""}
|
| 25 |
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{"perplexity": 9.928363501895005, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Homebase\", \"IKEA\"]", "output": ""}
|
| 26 |
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{"perplexity": 8.712010845837998, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"ramen\", \"udon\"]", "output": ""}
|
| 27 |
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{"perplexity": 7.514750540747515, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"England\", \"Wales\"]", "output": ""}
|
| 28 |
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{"perplexity": 7.953553229516086, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"sphinx\", \"sphynx\"]", "output": ""}
|
| 29 |
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{"perplexity": 7.673241981097429, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"iPod\", \"iPad\"]", "output": ""}
|
| 30 |
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{"perplexity": 7.87600504562362, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Olympic Games\", \"X Games\"]", "output": ""}
|
| 31 |
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{"perplexity": 6.668179689328265, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"McDonald's\", \"Burger King\"]", "output": ""}
|
| 32 |
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{"perplexity": 8.485460129553635, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Minnesota\", \"Wisconsin\"]", "output": ""}
|
| 33 |
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{"perplexity": 9.310715166986787, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Slack\", \"Microsoft Teams\"]", "output": ""}
|
| 34 |
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{"perplexity": 11.316985411490691, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Peter Phillips\", \"Christine Baranski\"]", "output": ""}
|
| 35 |
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{"perplexity": 11.237249278050893, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Jenna Ortega\", \"Anglo-Saxons\"]", "output": ""}
|
| 36 |
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{"perplexity": 13.36097837396981, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Karl Urban\", \"France 24\"]", "output": ""}
|
| 37 |
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{"perplexity": 7.8215033661000035, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Sudan\", \"South Sudan\"]", "output": ""}
|
| 38 |
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{"perplexity": 8.982137688490688, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Gameboy\", \"Nintendo\"]", "output": ""}
|
| 39 |
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{"perplexity": 9.84360025280067, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Grammy Award\", \"Novel Prize\"]", "output": ""}
|
| 40 |
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{"perplexity": 11.640680303508592, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"George Ezra\", \"Lead Belly\"]", "output": ""}
|
| 41 |
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{"perplexity": 7.680327191038652, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Cardiff\", \"Swansea\"]", "output": ""}
|
| 42 |
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{"perplexity": 7.99281143493567, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Steve Jobs\", \"Tim Cook\"]", "output": ""}
|
| 43 |
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{"perplexity": 8.90091565849595, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Counter Strike\", \"Rainbow Six\"]", "output": ""}
|
| 44 |
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{"perplexity": 8.337532296246879, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Hawaii\", \"Guam\"]", "output": ""}
|
| 45 |
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{"perplexity": 7.730692199558203, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Scrabble\", \"Jenga\"]", "output": ""}
|
| 46 |
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{"perplexity": 7.84239951432505, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Christmas\", \"Easter\"]", "output": ""}
|
| 47 |
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{"perplexity": 9.065170688609276, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"fusilli\", \"rotini\"]", "output": ""}
|
| 48 |
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{"perplexity": 8.67099937828245, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Coachella\", \"Woodstock\"]", "output": ""}
|
| 49 |
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{"perplexity": 10.2901837263271, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Avatar\", \"Archimedes\"]", "output": ""}
|
| 50 |
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{"perplexity": 10.74648737507087, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Shark\", \"Bush\"]", "output": ""}
|
| 51 |
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{"perplexity": 11.586111275977775, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Eva Braun\", \"Phil Jackson\"]", "output": ""}
|
| 52 |
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{"perplexity": 6.576468058901046, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Coca-Cola\", \"Pepsi\"]", "output": ""}
|
| 53 |
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{"perplexity": 11.17572652150416, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Joe Burrow\", \"Edward Scissorhands\"]", "output": ""}
|
| 54 |
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{"perplexity": 7.8442785040297265, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Australia\", \"New Zealand\"]", "output": ""}
|
| 55 |
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{"perplexity": 9.16890254679947, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Edward I\", \"William the Conqueror\"]", "output": ""}
|
| 56 |
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{"perplexity": 8.010959625682323, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Frank Sinatra\", \"Ella Fitzgerald\"]", "output": ""}
|
| 57 |
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{"perplexity": 8.690126427668826, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"New York\", \"York\"]", "output": ""}
|
| 58 |
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{"perplexity": 8.638985442235525, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Uzbekistan\", \"United States\"]", "output": ""}
|
| 59 |
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{"perplexity": 8.353382773175909, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Red Bull\", \"Monster Energy\"]", "output": ""}
|
| 60 |
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{"perplexity": 7.2166724183576525, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Champions League\", \"Europa League\"]", "output": ""}
|
| 61 |
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{"perplexity": 9.40531125129424, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Cerave\", \"Nivea\"]", "output": ""}
|
| 62 |
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{"perplexity": 8.508439443763026, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Galaxy\", \"iPhone\"]", "output": ""}
|
| 63 |
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{"perplexity": 10.165214701443096, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Mehmet \u00d6z\", \"David Schwimmer\"]", "output": ""}
|
| 64 |
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{"perplexity": 7.6055456712611615, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Disney\", \"Pixar\"]", "output": ""}
|
| 65 |
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{"perplexity": 8.346859501718946, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Batman\", \"Iron Man\"]", "output": ""}
|
| 66 |
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{"perplexity": 8.75609237988547, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Gisele B\u00fcndchen\", \"Orson Welles\"]", "output": ""}
|
| 67 |
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{"perplexity": 7.856879579113214, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Estonia\", \"Finland\"]", "output": ""}
|
| 68 |
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{"perplexity": 8.255048062615426, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"The Avengers\", \"The Justice League\"]", "output": ""}
|
| 69 |
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{"perplexity": 7.9704071294959915, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Nicolae Ceau\u0219escu\", \"Javier Hern\u00e1ndez\"]", "output": ""}
|
| 70 |
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{"perplexity": 7.457371844951405, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Adidas\", \"Nike\"]", "output": ""}
|
| 71 |
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{"perplexity": 8.175552419393352, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Java\", \"Javascript\"]", "output": ""}
|
| 72 |
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{"perplexity": 9.283263307473621, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"bourbon\", \"Scotch whisky\"]", "output": ""}
|
| 73 |
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{"perplexity": 8.257537975728615, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Alaska\", \"Canada\"]", "output": ""}
|
| 74 |
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{"perplexity": 8.320883614019623, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Spain\", \"Italy\"]", "output": ""}
|
| 75 |
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{"perplexity": 8.521564001510654, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"banana\", \"plantain\"]", "output": ""}
|
| 76 |
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{"perplexity": 7.554732517388545, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Firefox\", \"Chrome\"]", "output": ""}
|
| 77 |
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{"perplexity": 7.646084638799857, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Pecorino Romano\", \"Parmesan\"]", "output": ""}
|
| 78 |
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{"perplexity": 7.738520590052594, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]", "output": ""}
|
| 79 |
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{"perplexity": 8.470474292263832, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Netflix\", \"Amazon Prime Video\"]", "output": ""}
|
| 80 |
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{"perplexity": 10.006745466102617, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Primark\", \"Shein\"]", "output": ""}
|
| 81 |
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{"perplexity": 8.88111326460118, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Dominos' Pizza\", \"Pizza Hut\"]", "output": ""}
|
| 82 |
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{"perplexity": 9.343291784493168, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"South Africa\", \"Bhagavad Gita\"]", "output": ""}
|
| 83 |
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{"perplexity": 7.854109775382221, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Germany\", \"France\"]", "output": ""}
|
| 84 |
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{"perplexity": 9.798690596879677, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Kindle\", \"Jeff Bezos\"]", "output": ""}
|
| 85 |
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{"perplexity": 6.939059368737705, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Harry Potter\", \"Lord of the Rings\"]", "output": ""}
|
| 86 |
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{"perplexity": 9.826866065446167, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Yakutia\", \"Turkey\"]", "output": ""}
|
| 87 |
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{"perplexity": 9.053470526714847, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"PS5\", \"XBox\"]", "output": ""}
|
| 88 |
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{"perplexity": 8.249993637206765, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Monet\", \"Manet\"]", "output": ""}
|
| 89 |
+
{"perplexity": 8.040227176592643, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Glastonbury\", \"Roskilde\"]", "output": ""}
|
| 90 |
+
{"perplexity": 8.951580426312074, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Telugu\", \"Tamil\"]", "output": ""}
|
| 91 |
+
{"perplexity": 7.682038885785426, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Batman\", \"Superman\"]", "output": ""}
|
| 92 |
+
{"perplexity": 9.802004549677058, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"cannoli\", \"canneloni\"]", "output": ""}
|
| 93 |
+
{"perplexity": 9.320707733879205, "input": "examples of entities that are similar:\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Gerald Ford\", \"Duran Duran\"]", "output": ""}
|
experiments/results/lm_lc_fewshots.csv
ADDED
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| 1 |
+
model,shot,seed,competitor/rival of,friend/ally of,influenced by,known for,similar to,average
|
| 2 |
+
GPT-3 extsubscript{davinci},1,0,0.5280699275354719,0.212191920529615,0.3635277931568076,0.5348785543830825,0.3421445057868,0.3961625402783554
|
| 3 |
+
GPT-3 extsubscript{davinci},1,1,0.4974091794597034,0.2292126628180868,0.39615505369886195,0.6084233413809402,0.29307669115731966,0.4048553857029824
|
| 4 |
+
GPT-3 extsubscript{davinci},1,2,0.44272003332344273,0.1907326626783898,0.39534759628856364,0.613277325959876,0.27941602025529555,0.38429872770111356
|
| 5 |
+
GPT-3 extsubscript{davinci},3,0,0.6604608525508305,0.35463353388524765,0.5785282815637409,0.6671818508708893,0.5031879729304646,0.5527984983602346
|
| 6 |
+
GPT-3 extsubscript{davinci},3,1,0.6504483087053751,0.330626954058877,0.5698331614880284,0.7072260304355611,0.4307669873114737,0.537780288399863
|
| 7 |
+
GPT-3 extsubscript{davinci},3,2,0.6291172370346219,0.3578601417204319,0.5625809977103491,0.671381955521296,0.4700152606032847,0.5381911185179967
|
experiments/results/lm_qa_1shots_0seed/davinci/ppl.competitor__rival_of.jsonl
ADDED
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|
| 1 |
+
{"perplexity": 26.668437213053632, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Jeremy Corbyn\", \"Keir Starmer\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 2 |
+
{"perplexity": 42.83505711654929, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"EuroBasket 2022\", \"Murad III\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 3 |
+
{"perplexity": 23.635589132851266, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Bugatti\", \"Lamborghini\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 4 |
+
{"perplexity": 27.18285830793611, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Apple\", \"Microsoft\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 5 |
+
{"perplexity": 24.60182297725563, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Lee Chong Wei\", \"Lin Dan\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 6 |
+
{"perplexity": 27.402112007796937, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Microsoft\", \"Google\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 7 |
+
{"perplexity": 33.66470545928273, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Samsung\", \"Pitbull\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 8 |
+
{"perplexity": 18.222590375823728, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Cristiano Ronaldo\", \"Lionel Messi\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 9 |
+
{"perplexity": 27.05539414071486, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Germany\", \"Austria\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 10 |
+
{"perplexity": 32.75079854077184, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Dyson\", \"Dualit\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 11 |
+
{"perplexity": 33.404276448613714, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Netflix\", \"Disney Plus\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 12 |
+
{"perplexity": 25.246522688479438, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"PyTorch\", \"TensorFlow\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 13 |
+
{"perplexity": 27.296246729928793, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Dell\", \"HP\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 14 |
+
{"perplexity": 28.60073358207063, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Sanpellegrino\", \"Volvic\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 15 |
+
{"perplexity": 25.796611367879333, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Mikhail Khodorkovsky\", \"Hezbollah\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 16 |
+
{"perplexity": 24.433473264252644, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"British Airways\", \"Aer Lingus\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 17 |
+
{"perplexity": 28.90146475714622, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Microsoft Teams\", \"Slack\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 18 |
+
{"perplexity": 26.836508937204087, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Federal Reserve Board\", \"Bank of England\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 19 |
+
{"perplexity": 32.12523951662443, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"American Psycho\", \"Chihuahua\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 20 |
+
{"perplexity": 27.207729350617097, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Mars\", \"Snickers\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 21 |
+
{"perplexity": 32.0107908396136, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"ASML\", \"LAM Research\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 22 |
+
{"perplexity": 37.94200783766634, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Jake Paul\", \"Tangled\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 23 |
+
{"perplexity": 21.819845697128645, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Nikhita Khrushchev\", \"Leonid Brezhnev\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 24 |
+
{"perplexity": 29.059496468833427, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Razer\", \"Dell\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 25 |
+
{"perplexity": 27.261279114092613, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Spotify\", \"Apple\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 26 |
+
{"perplexity": 32.81857826854989, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Kourtney Kardashian\", \"Jenna Fischer\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 27 |
+
{"perplexity": 27.049257350168354, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Twitter\", \"WhatsApp\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 28 |
+
{"perplexity": 23.306765520406547, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Manchester United\", \"Arsenal\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 29 |
+
{"perplexity": 26.62849470594596, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"WeChat\", \"WhatsApp\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 30 |
+
{"perplexity": 28.111152114850338, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Saudi Arabia\", \"Israel\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 31 |
+
{"perplexity": 27.10798319344086, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Bashar al-Assad\", \"Christianity\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 32 |
+
{"perplexity": 29.111203317961987, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Didier Deschamps\", \"Scott Adkins\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 33 |
+
{"perplexity": 19.402581270274887, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Lionel Messi\", \"Kylian Mbapp\u00e9\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 34 |
+
{"perplexity": 38.721983801772204, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Louis Philippe\", \"Peter England\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 35 |
+
{"perplexity": 37.99506544788107, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Steve Jobs\", \"Atlanta\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 36 |
+
{"perplexity": 29.13794621048286, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Bella Hadid\", \"Choi Woo-shik\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 37 |
+
{"perplexity": 35.88958506253145, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Mali\", \"Frances McDormand\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 38 |
+
{"perplexity": 20.704248201692103, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Coca-Cola Company\", \"Pepsi\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 39 |
+
{"perplexity": 17.64312932514072, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Khabib Nurmagomedov\", \"Conor McGregor\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 40 |
+
{"perplexity": 27.69634914643168, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Twitter\", \"Facebook\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 41 |
+
{"perplexity": 23.63685531489503, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Cardiff University\", \"Swansea University\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 42 |
+
{"perplexity": 20.004963665149063, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Isaac Newton\", \"Gottfried Leibniz\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 43 |
+
{"perplexity": 29.315840903078104, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Casio\", \"Texas Instruments\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 44 |
+
{"perplexity": 21.086603560108387, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Arsenal\", \"Tottenham Hotspur\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 45 |
+
{"perplexity": 29.89929127359012, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Nintendo\", \"Xbox\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 46 |
+
{"perplexity": 28.971804364533828, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"H&M\", \"Zalora\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 47 |
+
{"perplexity": 23.17804619722576, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Serena Williams\", \"Andy Murray\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 48 |
+
{"perplexity": 21.455299849448167, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Liverpool FC\", \"Manchester United\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 49 |
+
{"perplexity": 27.226614736784757, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Apple\", \"Samsung\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 50 |
+
{"perplexity": 25.467056516692576, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Expedia\", \"Trivago\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 51 |
+
{"perplexity": 18.94524755945938, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Heathrow Airport\", \"Gatwick Airport\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 52 |
+
{"perplexity": 27.51295201619136, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Mario\", \"Bowser\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 53 |
+
{"perplexity": 28.940707964511322, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"US\", \"China\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 54 |
+
{"perplexity": 23.19282080708129, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Olympic Games\", \"Helicobacter pylori\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 55 |
+
{"perplexity": 21.944976109452753, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"BMW\", \"Mercedes-Benz\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 56 |
+
{"perplexity": 25.2463869925506, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Blur\", \"Oasis\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 57 |
+
{"perplexity": 26.750943608279783, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Israel\", \"Palestine\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 58 |
+
{"perplexity": 27.440966213042476, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Toshiba\", \"LG\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 59 |
+
{"perplexity": 31.90417095856262, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Apple\", \"Rolex\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 60 |
+
{"perplexity": 32.666587028825155, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Tesla\", \"Skoda\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 61 |
+
{"perplexity": 28.568959037891858, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Thomas Jefferson\", \"Alexander Hamilton\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 62 |
+
{"perplexity": 20.484585706214492, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Chester FC\", \"Wrexham FC\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 63 |
+
{"perplexity": 29.251445903699466, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Line of Duty\", \"CSI\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 64 |
+
{"perplexity": 29.173244149922482, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Gladiator\", \"Imelda Staunton\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 65 |
+
{"perplexity": 28.445533317014746, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"UK\", \"France\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 66 |
+
{"perplexity": 23.1092961197234, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Nike\", \"Adidas\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 67 |
+
{"perplexity": 19.38951530789566, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Alain Prost\", \"Ayrton Senna\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 68 |
+
{"perplexity": 20.94488704167154, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Manchester City\", \"Manchester United\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 69 |
+
{"perplexity": 28.473784347220416, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"BBC\", \"The Guardian\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 70 |
+
{"perplexity": 27.52798936114846, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Amazon\", \"Ebay\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 71 |
+
{"perplexity": 22.598347748278872, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Sir Alex Ferguson\", \"Jose Mourinho\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 72 |
+
{"perplexity": 35.77413640945579, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"ASEAN\", \"Helen Hunt\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 73 |
+
{"perplexity": 25.593083912199827, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Hans Zimmer\", \"John Williams\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 74 |
+
{"perplexity": 28.063721232568916, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Noel Gallagher\", \"Liam Gallaguer\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 75 |
+
{"perplexity": 20.61096670517495, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"McDonald's\", \"Burger King\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 76 |
+
{"perplexity": 25.811970402584294, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Neoclassicism\", \"Romanticism\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 77 |
+
{"perplexity": 44.25610829165771, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Royal Feast\", \"Fast X\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 78 |
+
{"perplexity": 30.019822396654433, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Eminem\", \"MGK\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 79 |
+
{"perplexity": 27.48429540557222, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Sprite\", \"7 Up\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 80 |
+
{"perplexity": 29.182280923429506, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Katharine Hepburn\", \"Abrahamic religion\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 81 |
+
{"perplexity": 23.701897080200432, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Martin Luther King Jr.\", \"Malcolm X\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 82 |
+
{"perplexity": 32.07485498863224, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Ligue 1\", \"Hayley Atwell\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 83 |
+
{"perplexity": 36.15636775697801, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Vikram\", \"Coen brothers\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 84 |
+
{"perplexity": 29.38966096925436, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Russia\", \"China\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 85 |
+
{"perplexity": 30.482298898865956, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Mohamed Salah\", \"Korea\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 86 |
+
{"perplexity": 33.12653438807334, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Kingston\", \"Samsung\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 87 |
+
{"perplexity": 27.602968558774737, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"AWS\", \"GCP\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 88 |
+
{"perplexity": 22.992341986397463, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"Beatles\", \"Rolling Stones\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 89 |
+
{"perplexity": 30.962448448138577, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"] are examples of entities that are competitors or rivals. Are [\"John Tyler\", \"Whig Party\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
experiments/results/lm_qa_1shots_0seed/davinci/ppl.friend__ally_of.jsonl
ADDED
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|
| 1 |
+
{"perplexity": 31.25831676189049, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Rishi Sunak\", \"Leo Varadkar\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 2 |
+
{"perplexity": 26.935326745178774, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Gondor\", \"Rohan\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 3 |
+
{"perplexity": 29.93710237573843, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"FIFA\", \"UEFA\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 4 |
+
{"perplexity": 23.059512935869506, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Joseph Stalin\", \"Josip Broz Tito\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 5 |
+
{"perplexity": 25.801913249848102, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Hillary Clinton\", \"Barack Obama\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 6 |
+
{"perplexity": 30.45705967104159, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Di Maio\", \"Salvini\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 7 |
+
{"perplexity": 33.224955836816775, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Yahoo\", \"Yahoo Japan\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 8 |
+
{"perplexity": 24.622614113050588, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Armenia\", \"Azerbaijan\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 9 |
+
{"perplexity": 41.19761620601058, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Doja Cat\", \"Anthony Albanese\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 10 |
+
{"perplexity": 20.956221884142245, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Pedro S\u00e1nchez\", \"Pablo Iglesias\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 11 |
+
{"perplexity": 41.95513320473388, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Islamic State\", \"Denys Prokopenko\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 12 |
+
{"perplexity": 37.025118057118725, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Brazil\", \"India\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 13 |
+
{"perplexity": 29.600215242388266, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Extinction Rebellion\", \"Greta Thunberg\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 14 |
+
{"perplexity": 27.904203929818728, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Sicily\", \"Calabria\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 15 |
+
{"perplexity": 39.739639634399246, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Oman\", \"Iran\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 16 |
+
{"perplexity": 42.54039297806903, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Sony\", \"ZEISS\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 17 |
+
{"perplexity": 46.993217047125924, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"FTX\", \"Alameda Research\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 18 |
+
{"perplexity": 36.89846299769625, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"UK\", \"Commonwealth\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 19 |
+
{"perplexity": 31.360412601565585, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Australia\", \"New Zealand\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 20 |
+
{"perplexity": 24.42666633411148, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Kylo Ren\", \"Rey\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 21 |
+
{"perplexity": 33.04279208839899, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Anne Boleyn\", \"Columbia Pictures\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 22 |
+
{"perplexity": 33.59659187426834, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"KGB\", \"CIA\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 23 |
+
{"perplexity": 39.95050761775463, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Rishi Sunak\", \"Joe Biden\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 24 |
+
{"perplexity": 28.465398112502633, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Quentin Tarantino\", \"Edgar Wright\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 25 |
+
{"perplexity": 30.880760142097298, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Keir Starmer\", \"Jeremy Corbyn\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 26 |
+
{"perplexity": 27.759659030058952, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"U.S.S.R.\", \"East Germany\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 27 |
+
{"perplexity": 24.181164896809168, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Harry Potter\", \"Severus Snape\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 28 |
+
{"perplexity": 31.450799025554513, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Tata Motors\", \"Jaguar\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 29 |
+
{"perplexity": 39.36156860201136, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Kendall Jenner\", \"Bergen\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 30 |
+
{"perplexity": 37.881564660120254, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Thomas Jefferson\", \"Kid Cudi\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 31 |
+
{"perplexity": 32.676341048755916, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"South Korea\", \"Japan\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 32 |
+
{"perplexity": 31.448835058650026, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Spain\", \"Portugal\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 33 |
+
{"perplexity": 27.35503490992738, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Liam Gallagher\", \"Noel Gallagher\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 34 |
+
{"perplexity": 29.347034544592855, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"France\", \"Belgium\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 35 |
+
{"perplexity": 29.163401388281102, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Turkish Airlines\", \"All Nippon Airways\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 36 |
+
{"perplexity": 29.04439489612696, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Malaysia\", \"Singapore\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 37 |
+
{"perplexity": 33.886999798451875, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"JP Morgan\", \"Morgan Stanley\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 38 |
+
{"perplexity": 24.66189104349312, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Sophia Loren\", \"Marlon Brando\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 39 |
+
{"perplexity": 17.461946253830014, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"J.R.R. Tolkien\", \"C.S. Lewis\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 40 |
+
{"perplexity": 31.845756802551723, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"China\", \"North Korea\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 41 |
+
{"perplexity": 24.497556624844407, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Margaret Thatcher\", \"Ronald Reagan\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 42 |
+
{"perplexity": 37.057981830994954, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Eva Per\u00f3n\", \"Interpol\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 43 |
+
{"perplexity": 36.094700891810646, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"UK\", \"Ireland\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 44 |
+
{"perplexity": 36.07020448606255, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Singapore\", \"Israel\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 45 |
+
{"perplexity": 26.615404930234426, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Eastern Orthodoxy\", \"Oriental Orthodoxy\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 46 |
+
{"perplexity": 36.55627804263851, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"India\", \"US\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 47 |
+
{"perplexity": 32.61779082689555, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Ed Gein\", \"Colonel Sanders\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 48 |
+
{"perplexity": 29.451731443723812, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Beatles\", \"Rolling Stones\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 49 |
+
{"perplexity": 32.59551784206952, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Red Bull\", \"GoPro\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 50 |
+
{"perplexity": 35.69180892475225, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"HSBC\", \"BlackRock\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 51 |
+
{"perplexity": 26.18505723143643, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Elsa\", \"Anna\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 52 |
+
{"perplexity": 25.072454310915436, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Macbeth\", \"Banquo\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 53 |
+
{"perplexity": 35.632617992375295, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Aznar\", \"Bush\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 54 |
+
{"perplexity": 35.573056475674775, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Google\", \"Samsung\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 55 |
+
{"perplexity": 32.104548097597785, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"IMF\", \"The World Bank\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 56 |
+
{"perplexity": 33.008536185496595, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Nikon\", \"Tokina\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 57 |
+
{"perplexity": 25.19775535527973, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Walter White\", \"Gus Fring\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 58 |
+
{"perplexity": 26.66867564507272, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Ron Weasley\", \"Neville Longbottom\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 59 |
+
{"perplexity": 21.468653831610514, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Darth Vader\", \"Emperor Palpatine\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 60 |
+
{"perplexity": 23.403645137929026, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Coca-Cola\", \"McDonald's\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 61 |
+
{"perplexity": 29.591403705223456, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Instagram\", \"WhatsApp\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 62 |
+
{"perplexity": 31.87550407543413, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Noah Schnapp\", \"Galatasaray S.K.\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 63 |
+
{"perplexity": 34.8787042393664, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"US\", \"Canada\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 64 |
+
{"perplexity": 32.77074501208403, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Bob Marley\", \"Abu Bakr\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 65 |
+
{"perplexity": 34.83091556396479, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Jeff Bezos\", \"GitHub\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 66 |
+
{"perplexity": 35.394346377801874, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Hong Kong\", \"HSBC\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 67 |
+
{"perplexity": 29.380693851188656, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"United States\", \"United Kingdom\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 68 |
+
{"perplexity": 24.24727613727163, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Porter Wagoner\", \"Dolly Parton\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 69 |
+
{"perplexity": 37.80964735949273, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Achilles\", \"Jonathan Bailey\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 70 |
+
{"perplexity": 34.19149533659895, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Linus Sebastian\", \"Marques Brownlee\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 71 |
+
{"perplexity": 27.164342069282508, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Catherine Zeta-Jones\", \"Johnny Knoxville\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 72 |
+
{"perplexity": 41.866701152282594, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Amazon\", \"Royal Mail\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 73 |
+
{"perplexity": 32.86764676139301, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"The Beatles\", \"Queen\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 74 |
+
{"perplexity": 28.168390986378384, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Benedict Cumberbatch\", \"Hanukkah\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 75 |
+
{"perplexity": 37.67552318625644, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Huawei\", \"China\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 76 |
+
{"perplexity": 36.79764249360399, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Rishi Sunak\", \"Emmanuel Macron\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 77 |
+
{"perplexity": 38.44515639868271, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Microsoft\", \"LinkedIn\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 78 |
+
{"perplexity": 37.745897501800115, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Paul Rudd\", \"Memento\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 79 |
+
{"perplexity": 36.94804733786167, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Russia\", \"Georgia\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 80 |
+
{"perplexity": 32.20628883406092, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Germany\", \"France\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 81 |
+
{"perplexity": 33.41246596510659, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Stephen Hawking\", \"Brian Cox\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 82 |
+
{"perplexity": 20.475869595273362, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Jean-Michel Basquiat\", \"Andy Warhol\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 83 |
+
{"perplexity": 38.6150326898178, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Mark Drakeford\", \"Rishi Sunak\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 84 |
+
{"perplexity": 39.13332968753964, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"J\u00fcrgen Klopp\", \"Exo\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 85 |
+
{"perplexity": 36.42567693463616, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Windows\", \"Xbox\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 86 |
+
{"perplexity": 38.396832976793085, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Saturn\", \"Rachel Bilson\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 87 |
+
{"perplexity": 38.85559067375982, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Ottoman Empire\", \"Snowpiercer\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 88 |
+
{"perplexity": 31.06730367437509, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Johnny Cash\", \"Waylon Jennings\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 89 |
+
{"perplexity": 33.07899129157792, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"UN\", \"NATO\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 90 |
+
{"perplexity": 29.76616880082636, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Boris Johnson\", \"Emmanuel Macron\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 91 |
+
{"perplexity": 22.312163320318955, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Cersei Lannister\", \"Euron Greyjoy\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 92 |
+
{"perplexity": 34.64386118908696, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"] are examples of entities that are friends or allies. Are [\"Japan\", \"Taiwan\"] entities that are friends or allies as well?\n yes", "output": ""}
|
experiments/results/lm_qa_1shots_0seed/davinci/ppl.influenced_by.jsonl
ADDED
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| 1 |
+
{"perplexity": 47.89615666676436, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Prince Harry\", \"Monarchy\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 2 |
+
{"perplexity": 48.94420672374966, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"F1\", \"social media\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 3 |
+
{"perplexity": 31.425668552733406, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Elton John\", \"Elvis Presley\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 4 |
+
{"perplexity": 45.88094080918128, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Jack Black\", \"Waffen-SS\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 5 |
+
{"perplexity": 31.435997416466137, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Game of Thrones\", \"Lord of the Rings\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 6 |
+
{"perplexity": 37.46988376029744, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Canon\", \"Nikon\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 7 |
+
{"perplexity": 35.437406044094594, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Thomas Aquinas\", \"Aristotle\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 8 |
+
{"perplexity": 45.020844849609176, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Android\", \"iOS\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 9 |
+
{"perplexity": 47.091712742884205, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Charles Baudelaire\", \"Tornado MRCA\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 10 |
+
{"perplexity": 48.14574194624956, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"trending music\", \"TikTok\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 11 |
+
{"perplexity": 36.371578366625606, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Xi Jinping\", \"Kim Jong-il\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 12 |
+
{"perplexity": 36.4826314116696, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Beethoven\", \"romanticism\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 13 |
+
{"perplexity": 34.64759327199865, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Edgar Allan Poe\", \"Romanticism\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 14 |
+
{"perplexity": 47.93754065364168, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"US\", \"NASA\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 15 |
+
{"perplexity": 46.1083434041253, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Wales\", \"Westminster\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 16 |
+
{"perplexity": 46.803735557498605, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Sierra Leone\", \"Pulp fiction\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 17 |
+
{"perplexity": 41.724460857611675, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Ethereum\", \"Bitcoin\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 18 |
+
{"perplexity": 38.93215571283279, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Theresa May\", \"David Cameron\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 19 |
+
{"perplexity": 42.42504544248583, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Anna Delvey\", \"Bernie Madoff\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 20 |
+
{"perplexity": 35.10036416825645, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Lord of the Rings\", \"Beowulf\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 21 |
+
{"perplexity": 37.7690260250808, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Andrew Johnson\", \"Abraham Lincoln\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 22 |
+
{"perplexity": 47.81304238530968, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"LinkedIn\", \"Facebook\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 23 |
+
{"perplexity": 36.02223692279123, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Picasso\", \"Cezanne\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 24 |
+
{"perplexity": 41.77108887989371, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Playstation\", \"Xbox\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 25 |
+
{"perplexity": 44.66981497675333, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Kevin Spacey\", \"Tenerife\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 26 |
+
{"perplexity": 44.241113366747896, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Saudi Arabia\", \"US\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 27 |
+
{"perplexity": 43.08627270319841, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Fitbit\", \"heart rate monitor\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 28 |
+
{"perplexity": 42.82641120143154, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Taiwan\", \"China\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 29 |
+
{"perplexity": 24.248313411249484, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Kylian Mbappe\", \"Cristiano Ronaldo\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 30 |
+
{"perplexity": 38.78247889771648, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Picasso\", \"cubism\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 31 |
+
{"perplexity": 37.278926967467896, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Miley Cyrus\", \"Lorde\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 32 |
+
{"perplexity": 29.490007821297084, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Neymar\", \"Alexis S\u00e1nchez\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 33 |
+
{"perplexity": 37.44986117720525, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Smashing Pumpkins\", \"Beatles\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 34 |
+
{"perplexity": 46.979726700582084, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Portuguese\", \"The Prestige\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 35 |
+
{"perplexity": 48.42236839494159, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Luke Evans\", \"Ava Gardner\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 36 |
+
{"perplexity": 44.62082944229145, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"MacOS\", \"Linux\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 37 |
+
{"perplexity": 48.431538270995716, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Transport for Wales\", \"National Rail\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 38 |
+
{"perplexity": 37.61439712190021, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Herbie Hancock\", \"Miles Davis\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 39 |
+
{"perplexity": 41.788494537555565, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"India\", \"Hinduism\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 40 |
+
{"perplexity": 43.18227023809687, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"hip hop\", \"jazz\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 41 |
+
{"perplexity": 33.36268440818687, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Bob Dylan\", \"Woody Guthrie\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 42 |
+
{"perplexity": 46.202029268868635, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Tim Burton\", \"German expressionism\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 43 |
+
{"perplexity": 37.27580621710982, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Eamon de Valera\", \"James Napper Tandy\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 44 |
+
{"perplexity": 44.02889405778239, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Joe Biden\", \"Donald Trump\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 45 |
+
{"perplexity": 40.03058349775012, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Shaquille O'Neal\", \"Selim II\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 46 |
+
{"perplexity": 40.90076291683256, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Cobra Kai\", \"Anna Chlumsky\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 47 |
+
{"perplexity": 35.68469425082537, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Harry Potter\", \"Wizard of Oz\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 48 |
+
{"perplexity": 30.240528310014916, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Coca-Cola\", \"Pepsi\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 49 |
+
{"perplexity": 42.49731738146725, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Apple Music\", \"Spotify\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 50 |
+
{"perplexity": 36.82941602236848, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Singaporean food\", \"Malaysian food\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 51 |
+
{"perplexity": 42.75743000720302, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Guess\", \"Gucci\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 52 |
+
{"perplexity": 46.39597432029237, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Commonwealth\", \"United Kingdom\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 53 |
+
{"perplexity": 46.51912598345103, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"machine learning\", \"Google\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 54 |
+
{"perplexity": 37.0275557028563, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Antonio Salazar\", \"fascism\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 55 |
+
{"perplexity": 45.219779950728146, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Facebook\", \"LinkedIn\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 56 |
+
{"perplexity": 36.902382517793384, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Hank Williams\", \"Jimmie Rodgers\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 57 |
+
{"perplexity": 64.74161848058468, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"painters\", \"Stable Diffusion\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 58 |
+
{"perplexity": 51.027090845146596, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Walmart\", \"Rivaldo\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 59 |
+
{"perplexity": 43.933877298396766, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Sauron\", \"Shiba Inu\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 60 |
+
{"perplexity": 34.70531554489983, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Bruno Mars\", \"James Brown\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 61 |
+
{"perplexity": 41.43831982181488, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Brazil\", \"Spain\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 62 |
+
{"perplexity": 43.147317209399425, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"heavy metal\", \"punk music\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 63 |
+
{"perplexity": 38.99767553019822, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Moon\", \"G\u00f6bekli Tepe\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 64 |
+
{"perplexity": 47.682206582131535, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"English\", \"William Shakespeare\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 65 |
+
{"perplexity": 45.50581276617867, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Beatles\", \"Alice in Wonderland\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 66 |
+
{"perplexity": 38.163969361452054, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"impressionism\", \"Edouard Manet\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 67 |
+
{"perplexity": 44.32261800175622, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Gilbert Gottfried\", \"Mike Krieger\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 68 |
+
{"perplexity": 41.48861142025733, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Vladimir Lenin\", \"chess\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 69 |
+
{"perplexity": 30.872328683111984, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Pepsi\", \"Coca-Cola\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 70 |
+
{"perplexity": 36.29877899101215, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Alicia Vikander\", \"Richard Attenborough\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 71 |
+
{"perplexity": 44.466286529387574, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Luke Bryan\", \"Hank Williams\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 72 |
+
{"perplexity": 35.47284328612429, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Bill Gates\", \"Steve Jobs\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 73 |
+
{"perplexity": 44.22330450291071, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Allu Arjun\", \"Aaron Ramsey\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 74 |
+
{"perplexity": 44.79417583764916, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Stephen King\", \"Arthur Machen\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 75 |
+
{"perplexity": 38.81763740193691, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Bangladesh\", \"India\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 76 |
+
{"perplexity": 46.610753254549756, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"hamburger\", \"Germany\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 77 |
+
{"perplexity": 35.64654921718652, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Plato\", \"Socrates\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 78 |
+
{"perplexity": 26.93393381649477, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Messi\", \"Maradona\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 79 |
+
{"perplexity": 37.97602775222147, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Oasis\", \"Blur\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 80 |
+
{"perplexity": 32.322289203371774, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Quentin Tarantino\", \"Sergio Leone\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 81 |
+
{"perplexity": 43.7956904352431, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"European Union\", \"Germany\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 82 |
+
{"perplexity": 51.33774779219857, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Stephen Foster\", \"Thomas Moore\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 83 |
+
{"perplexity": 36.88422695840769, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Hoover\", \"Dyson\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 84 |
+
{"perplexity": 35.913582814707254, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Mark Rothko\", \"Claude Monet\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 85 |
+
{"perplexity": 39.04808500103528, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"James Brown\", \"Michael Jackson\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 86 |
+
{"perplexity": 44.586034904458586, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Windows\", \"Linux\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 87 |
+
{"perplexity": 41.2851211768693, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Radiohead\", \"David Bowie\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 88 |
+
{"perplexity": 48.19716330616847, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"NVIDIA\", \"AMD\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 89 |
+
{"perplexity": 40.82951774444609, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"India\", \"Gandhi\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 90 |
+
{"perplexity": 40.76217899626073, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Viktor Yushchenko\", \"Bonnie Wright\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 91 |
+
{"perplexity": 30.437356909643754, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Beethoven\", \"Mozart\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 92 |
+
{"perplexity": 43.5414078630156, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Bitcoin\", \"blockchain\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 93 |
+
{"perplexity": 41.133120555669485, "input": "Answer the question by yes or no. We know that [\"Messi\", \"Maradona\"] are examples of what has influenced different entities. Are [\"Hong Kong\", \"China\"] what has influenced different entities as well?\n yes", "output": ""}
|
experiments/results/lm_qa_1shots_0seed/davinci/ppl.known_for.jsonl
ADDED
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| 1 |
+
{"perplexity": 20.95505168536667, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Hawaii\", \"ukulele\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 2 |
+
{"perplexity": 16.887296745837787, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Paris\", \"Eiffel Tower\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 3 |
+
{"perplexity": 24.772703732121943, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Sweden\", \"pop\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 4 |
+
{"perplexity": 21.038174697314943, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Memphis Depay\", \"Mendelian inheritance\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 5 |
+
{"perplexity": 23.35890971993077, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"France\", \"beaches\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 6 |
+
{"perplexity": 24.384204748374415, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"France\", \"cars\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 7 |
+
{"perplexity": 20.827319697570346, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Alphabet Inc.\", \"Google\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 8 |
+
{"perplexity": 13.807872290241033, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Vincent Van Gogh\", \"The Starry Night\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 9 |
+
{"perplexity": 22.985149761846213, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Italy\", \"Hawaiian pizza\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 10 |
+
{"perplexity": 27.665108040777135, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Japan\", \"glass product\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 11 |
+
{"perplexity": 26.149322885901253, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"France\", \"rococo movement\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 12 |
+
{"perplexity": 22.115081028117793, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Europe\", \"The Final Countdown\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 13 |
+
{"perplexity": 18.84223722187025, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Sophie Turner\", \"Sylvia Plath\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 14 |
+
{"perplexity": 20.218780141486288, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Bill Nye\", \"scientist\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 15 |
+
{"perplexity": 22.33715645968754, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Mercedes Benz\", \"build quality\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 16 |
+
{"perplexity": 21.031451854454538, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Hawaii\", \"beaches\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 17 |
+
{"perplexity": 19.164594295674263, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Jackson Pollock\", \"action painting\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 18 |
+
{"perplexity": 26.965959105673516, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Andhra Pradesh\", \"Martinique\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 19 |
+
{"perplexity": 17.430621678987684, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Keanu Reeves\", \"The Matrix\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 20 |
+
{"perplexity": 20.401211732761997, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Christopher Columbus\", \"India\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 21 |
+
{"perplexity": 16.067484891526007, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Picasso\", \"Guernica\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 22 |
+
{"perplexity": 19.129229441028667, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Italy\", \"Renaissance\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 23 |
+
{"perplexity": 23.16638407176768, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Korea\", \"Breakdance\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 24 |
+
{"perplexity": 22.43856621015818, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Spain\", \"olive oil\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 25 |
+
{"perplexity": 14.953584981424628, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"C.S. Lewis\", \"The Screwtape Letters\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 26 |
+
{"perplexity": 16.987755794258618, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Corsica\", \"Napoleon Bonaparte\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 27 |
+
{"perplexity": 18.0654284366484, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Rafael Nadal\", \"Ralph Macchio\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 28 |
+
{"perplexity": 21.659262256407875, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Walther P38\", \"Lupin the Third\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 29 |
+
{"perplexity": 26.592442476990403, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Richard Harris\", \"Curcuma longa\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 30 |
+
{"perplexity": 18.661517071538334, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Smashing Pumpkins\", \"Thru the eyes of Ruby\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 31 |
+
{"perplexity": 26.34073887558385, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"India\", \"rum\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 32 |
+
{"perplexity": 25.674490993080322, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Parasite\", \"Jersey\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 33 |
+
{"perplexity": 21.107852141822384, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"India\", \"Gurkhas\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 34 |
+
{"perplexity": 21.29552702961224, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Amazon\", \"Alexa\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 35 |
+
{"perplexity": 20.05145643627811, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Thomas Edison\", \"telephone\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 36 |
+
{"perplexity": 25.2272401887096, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Buffon\", \"PSG\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 37 |
+
{"perplexity": 19.370932956809458, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Alfred Hitchcock\", \"horror\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 38 |
+
{"perplexity": 14.852744697442466, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"William Shakespeare\", \"Romeo and Juliet\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 39 |
+
{"perplexity": 17.780964154400937, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Thomas Edison\", \"light bulb\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 40 |
+
{"perplexity": 22.142742648954364, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Michael Jordan\", \"Tessa Thompson\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 41 |
+
{"perplexity": 17.49838430312116, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Inglourious Basterds\", \"Sergio Busquets\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 42 |
+
{"perplexity": 20.5887056697633, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Boris Johnson\", \"Brexit\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 43 |
+
{"perplexity": 22.939557004888485, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Georgia\", \"Joseph Stalin\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 44 |
+
{"perplexity": 22.924241348367822, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"China\", \"coffee\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 45 |
+
{"perplexity": 31.428314974453375, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"OpenAI\", \"ChatGPT\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 46 |
+
{"perplexity": 20.99106050303698, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Tesco\", \"groceries\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 47 |
+
{"perplexity": 22.26847254208812, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Amazon\", \"cloud computing\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 48 |
+
{"perplexity": 21.295249533724665, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Nvidia\", \"GPUs\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 49 |
+
{"perplexity": 19.37273958613176, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Tony Blair\", \"Iraq War\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 50 |
+
{"perplexity": 22.654087299354043, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Germany\", \"techno music\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 51 |
+
{"perplexity": 20.14633484361478, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Michelangelo\", \"Pop Art\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 52 |
+
{"perplexity": 25.309577541597793, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Gilmore Girls\", \"OpenAI\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 53 |
+
{"perplexity": 22.502080496011224, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Ragnar\u00f6k\", \"Little Boy\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 54 |
+
{"perplexity": 21.545861650538225, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Pizzagate\", \"Hillary Clinton\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 55 |
+
{"perplexity": 19.362551048327905, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"George Orwell\", \"Coming Up for Air\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 56 |
+
{"perplexity": 23.222741413461662, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Italy\", \"wine\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 57 |
+
{"perplexity": 16.23776612312249, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Coca-Cola\", \"Pepsi\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 58 |
+
{"perplexity": 21.363311418665784, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Spotify\", \"Podcasts\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 59 |
+
{"perplexity": 22.282757178701463, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Valencia\", \"paella\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 60 |
+
{"perplexity": 23.04123968160774, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"The Office\", \"IBM\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 61 |
+
{"perplexity": 23.13889461637325, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Romania\", \"Roman Catholicism\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 62 |
+
{"perplexity": 20.385538322397963, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"George Washington\", \"Kiribati\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 63 |
+
{"perplexity": 24.099453865989652, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Charles Bronson\", \"Rory McIlroy\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 64 |
+
{"perplexity": 21.504194431684358, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Belgium\", \"wine\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 65 |
+
{"perplexity": 21.081422868980578, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Luka Modri\u0107\", \"Rottweiler\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 66 |
+
{"perplexity": 19.102009479200955, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Switzerland\", \"mountains\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 67 |
+
{"perplexity": 21.180308076612434, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Assassin's Creed\", \"history\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 68 |
+
{"perplexity": 20.75489417864608, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Red Bull\", \"energy drinks\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 69 |
+
{"perplexity": 17.914086065767403, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Johnny Cash\", \"Ring of Fire\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 70 |
+
{"perplexity": 20.997554829947894, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Microsoft\", \"Xbox\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 71 |
+
{"perplexity": 20.901454849465445, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Canada\", \"maple syrup\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 72 |
+
{"perplexity": 21.96031130074813, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"France\", \"cheese\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 73 |
+
{"perplexity": 23.787238514297776, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"France\", \"beer\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 74 |
+
{"perplexity": 18.562473111340303, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Nintendo\", \"Super Mario Bros.\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 75 |
+
{"perplexity": 22.92367958806603, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"democracy\", \"North Korea\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 76 |
+
{"perplexity": 19.888453021575433, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Apple\", \"iPhone\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 77 |
+
{"perplexity": 19.355195797221654, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Harry Potter\", \"Bloomsbury\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 78 |
+
{"perplexity": 21.898718009834198, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"France\", \"mountains\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 79 |
+
{"perplexity": 24.605544131948584, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"UK\", \"rain\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 80 |
+
{"perplexity": 18.86045095262314, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Matt Damon\", \"Ocean's Eleven\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 81 |
+
{"perplexity": 19.506442032694494, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Switzerland\", \"banking secrecy\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 82 |
+
{"perplexity": 18.485727612419343, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Adidas\", \"Yeezy Boost\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 83 |
+
{"perplexity": 21.652751189725574, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Portugal\", \"Fado\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 84 |
+
{"perplexity": 22.906460031780444, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Italy\", \"tea\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 85 |
+
{"perplexity": 20.08632180843989, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Beatles\", \"Come Together\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 86 |
+
{"perplexity": 19.20039293690131, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Afro-Brazilians\", \"Capoeira\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 87 |
+
{"perplexity": 19.48543083196965, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Steve Jobs\", \"AirPods\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 88 |
+
{"perplexity": 20.510916953997707, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Apple\", \"Apple Watch\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 89 |
+
{"perplexity": 22.79914831898327, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Frank Abagnale Jr\", \"doctor\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 90 |
+
{"perplexity": 26.756187741565505, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Meta\", \"Instagram\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 91 |
+
{"perplexity": 15.08257352505201, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Jeff Goldblum\", \"Jurassic Park\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 92 |
+
{"perplexity": 12.588946107034145, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Leonardo Da Vinci\", \"Mona Lisa\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 93 |
+
{"perplexity": 21.178529779627556, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Neil Armstrong\", \"Korean War\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 94 |
+
{"perplexity": 20.296661830524798, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"France\", \"baguette\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 95 |
+
{"perplexity": 17.220373720085295, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Queen\", \"Bohemian Rhapsody\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 96 |
+
{"perplexity": 20.121303704651826, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Pixar\", \"Novosibirsk\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 97 |
+
{"perplexity": 18.22377233082049, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Greggs\", \"sausage rolls\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 98 |
+
{"perplexity": 22.694168619767026, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Japan\", \"sake\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 99 |
+
{"perplexity": 22.132010250300215, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"IKEA\", \"food\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 100 |
+
{"perplexity": 23.39481358776634, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"William Grant & Sons\", \"gin\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 101 |
+
{"perplexity": 19.57395659623998, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Netherlands\", \"tulips\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 102 |
+
{"perplexity": 25.731867460940844, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"LAMY\", \"notebook\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 103 |
+
{"perplexity": 18.251546537382453, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Harvey Weinstein\", \"Miramax\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 104 |
+
{"perplexity": 22.22182428371971, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Scotland\", \"whisky\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 105 |
+
{"perplexity": 19.786764057692128, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Apple\", \"MacBook\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 106 |
+
{"perplexity": 18.629231039414993, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Steve Jobs\", \"Apple\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 107 |
+
{"perplexity": 20.60927895743725, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Beatles\", \"I Me Mine\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 108 |
+
{"perplexity": 19.990787406727343, "input": "Answer the question by yes or no. We know that [\"Leonardo Da Vinci\", \"Mona Lisa\"] are examples of examples of what entities are known for. Are [\"Google\", \"search engine\"] examples of what entities are known for as well?\n yes", "output": ""}
|
experiments/results/lm_qa_1shots_0seed/davinci/ppl.similar_to.jsonl
ADDED
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@@ -0,0 +1,93 @@
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|
| 1 |
+
{"perplexity": 28.91495183350015, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"pill\", \"tablet\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 2 |
+
{"perplexity": 22.91740904098235, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Eduardo Saverin\", \"Guinea-Bissau\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 3 |
+
{"perplexity": 25.395294533195887, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Dionysus\", \"Toyota Corolla\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 4 |
+
{"perplexity": 26.859341290883002, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Great Britian\", \"British Empire\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 5 |
+
{"perplexity": 28.58411300223595, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"English\", \"Persian\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 6 |
+
{"perplexity": 23.6497089079297, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Chess\", \"Rubik's Cube\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 7 |
+
{"perplexity": 19.58072819237568, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Star Wars\", \"Star Trek\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 8 |
+
{"perplexity": 28.189960480437918, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Anne Heche\", \"Ponzi scheme\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 9 |
+
{"perplexity": 32.56824103477685, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Chris Pine\", \"Good Friday\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 10 |
+
{"perplexity": 24.12285124679457, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Sudocrem\", \"Germolene\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 11 |
+
{"perplexity": 20.902133241445547, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Yugoslavia\", \"Albania\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 12 |
+
{"perplexity": 22.554082649417598, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Beatles\", \"Rolling Stones\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 13 |
+
{"perplexity": 25.29941986603959, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"decision tree\", \"neural network\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 14 |
+
{"perplexity": 22.5416990863734, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Suits\", \"Law & Order\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 15 |
+
{"perplexity": 23.647282261793986, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Titanic\", \"Superbad\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 16 |
+
{"perplexity": 21.391292990468397, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Seleucid Empire\", \"Macedonian Empire\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 17 |
+
{"perplexity": 25.724438583576287, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Doctor Who\", \"Timeless\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 18 |
+
{"perplexity": 28.61550059924691, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Srebrenica massacre\", \"Rock Hudson\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 19 |
+
{"perplexity": 23.813971714706057, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Arnold Classic\", \"Mr. Olympia\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 20 |
+
{"perplexity": 29.059283032761645, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Italy\", \"Superman\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 21 |
+
{"perplexity": 27.297835213940978, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Alibaba\", \"Amazon\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 22 |
+
{"perplexity": 21.368426041055464, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Indiana Jones\", \"Star Wars\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 23 |
+
{"perplexity": 34.33593846907748, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"NQ64\", \"Wetherspoons\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 24 |
+
{"perplexity": 24.05041437757172, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Pepsi\", \"Fanta\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 25 |
+
{"perplexity": 27.84548501150718, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Homebase\", \"IKEA\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 26 |
+
{"perplexity": 29.979812883137757, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"ramen\", \"udon\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 27 |
+
{"perplexity": 26.288506871670407, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"England\", \"Wales\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 28 |
+
{"perplexity": 22.979276713287987, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"sphinx\", \"sphynx\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 29 |
+
{"perplexity": 23.95951666218376, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"iPod\", \"iPad\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 30 |
+
{"perplexity": 22.56893172995984, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Olympic Games\", \"X Games\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 31 |
+
{"perplexity": 20.24806705986563, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"McDonald's\", \"Burger King\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 32 |
+
{"perplexity": 28.01797754246465, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Minnesota\", \"Wisconsin\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 33 |
+
{"perplexity": 25.917865626812276, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Slack\", \"Microsoft Teams\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 34 |
+
{"perplexity": 29.733741327714863, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Peter Phillips\", \"Christine Baranski\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 35 |
+
{"perplexity": 26.169625602675627, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Jenna Ortega\", \"Anglo-Saxons\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 36 |
+
{"perplexity": 37.4083532063291, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Karl Urban\", \"France 24\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 37 |
+
{"perplexity": 24.20773977348415, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Sudan\", \"South Sudan\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 38 |
+
{"perplexity": 28.20913544629332, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Gameboy\", \"Nintendo\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 39 |
+
{"perplexity": 26.764689550984155, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Grammy Award\", \"Novel Prize\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 40 |
+
{"perplexity": 31.167466778355266, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"George Ezra\", \"Lead Belly\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 41 |
+
{"perplexity": 25.10373245623159, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Cardiff\", \"Swansea\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 42 |
+
{"perplexity": 24.794963295273273, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Steve Jobs\", \"Tim Cook\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 43 |
+
{"perplexity": 24.55470616063773, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Counter Strike\", \"Rainbow Six\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 44 |
+
{"perplexity": 25.142385526207484, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Hawaii\", \"Guam\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 45 |
+
{"perplexity": 22.8759660493021, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Scrabble\", \"Jenga\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 46 |
+
{"perplexity": 24.12962746253392, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Christmas\", \"Easter\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 47 |
+
{"perplexity": 27.557021865117076, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"fusilli\", \"rotini\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 48 |
+
{"perplexity": 23.811357986769256, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Coachella\", \"Woodstock\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 49 |
+
{"perplexity": 27.265154511791966, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Avatar\", \"Archimedes\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 50 |
+
{"perplexity": 31.271386454883128, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Shark\", \"Bush\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 51 |
+
{"perplexity": 32.36513319422003, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Eva Braun\", \"Phil Jackson\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 52 |
+
{"perplexity": 19.692694463883463, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Coca-Cola\", \"Pepsi\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 53 |
+
{"perplexity": 31.972017965626865, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Joe Burrow\", \"Edward Scissorhands\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 54 |
+
{"perplexity": 24.206635919041396, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Australia\", \"New Zealand\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 55 |
+
{"perplexity": 25.18647096168093, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Edward I\", \"William the Conqueror\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 56 |
+
{"perplexity": 24.234705074406687, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Frank Sinatra\", \"Ella Fitzgerald\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 57 |
+
{"perplexity": 27.99713907209666, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"New York\", \"York\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 58 |
+
{"perplexity": 25.83043163200499, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Uzbekistan\", \"United States\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 59 |
+
{"perplexity": 25.162365754143202, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Red Bull\", \"Monster Energy\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 60 |
+
{"perplexity": 22.890860162134377, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Champions League\", \"Europa League\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 61 |
+
{"perplexity": 28.18868941711854, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Cerave\", \"Nivea\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 62 |
+
{"perplexity": 30.201353726918047, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Galaxy\", \"iPhone\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 63 |
+
{"perplexity": 28.015375778860903, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Mehmet \u00d6z\", \"David Schwimmer\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 64 |
+
{"perplexity": 22.159223255651614, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Disney\", \"Pixar\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 65 |
+
{"perplexity": 20.234891771817065, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Batman\", \"Iron Man\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 66 |
+
{"perplexity": 21.192262804375716, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Gisele B\u00fcndchen\", \"Orson Welles\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 67 |
+
{"perplexity": 24.535954427353136, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Estonia\", \"Finland\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 68 |
+
{"perplexity": 16.4676553306781, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"The Avengers\", \"The Justice League\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 69 |
+
{"perplexity": 16.540355591337914, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Nicolae Ceau\u0219escu\", \"Javier Hern\u00e1ndez\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 70 |
+
{"perplexity": 23.054879673316652, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Adidas\", \"Nike\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 71 |
+
{"perplexity": 26.28463035717656, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Java\", \"Javascript\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 72 |
+
{"perplexity": 26.890691175976986, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"bourbon\", \"Scotch whisky\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 73 |
+
{"perplexity": 26.11721122637483, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Alaska\", \"Canada\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 74 |
+
{"perplexity": 27.71867339199, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Spain\", \"Italy\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 75 |
+
{"perplexity": 26.343884072876033, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"banana\", \"plantain\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 76 |
+
{"perplexity": 22.557425516436755, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Firefox\", \"Chrome\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 77 |
+
{"perplexity": 20.89089985040578, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Pecorino Romano\", \"Parmesan\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 78 |
+
{"perplexity": 21.430490821342865, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Ligue 1\", \"Bundesliga\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 79 |
+
{"perplexity": 23.97766244156616, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Netflix\", \"Amazon Prime Video\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 80 |
+
{"perplexity": 33.11318673515753, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Primark\", \"Shein\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 81 |
+
{"perplexity": 24.53909460740723, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Dominos' Pizza\", \"Pizza Hut\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 82 |
+
{"perplexity": 24.712814299315436, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"South Africa\", \"Bhagavad Gita\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 83 |
+
{"perplexity": 26.182674233272312, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Germany\", \"France\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 84 |
+
{"perplexity": 30.490928317022505, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Kindle\", \"Jeff Bezos\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 85 |
+
{"perplexity": 18.61292555321235, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Harry Potter\", \"Lord of the Rings\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 86 |
+
{"perplexity": 27.735249237060128, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Yakutia\", \"Turkey\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 87 |
+
{"perplexity": 29.77137240593718, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"PS5\", \"XBox\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 88 |
+
{"perplexity": 25.164492072101726, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Monet\", \"Manet\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 89 |
+
{"perplexity": 24.27293582372711, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Glastonbury\", \"Roskilde\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 90 |
+
{"perplexity": 25.822760367190803, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Telugu\", \"Tamil\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 91 |
+
{"perplexity": 19.50217568251852, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Batman\", \"Superman\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 92 |
+
{"perplexity": 28.30243801677349, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"cannoli\", \"canneloni\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 93 |
+
{"perplexity": 24.617372715114207, "input": "Answer the question by yes or no. We know that [\"The Avengers\", \"The Justice League\"] are examples of examples of entities that are similar. Are [\"Gerald Ford\", \"Duran Duran\"] examples of entities that are similar as well?\n yes", "output": ""}
|
experiments/results/lm_qa_1shots_1seed/davinci/ppl.competitor__rival_of.jsonl
ADDED
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|
| 1 |
+
{"perplexity": 35.631496458483184, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Jeremy Corbyn\", \"Keir Starmer\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 2 |
+
{"perplexity": 51.48433687389244, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"EuroBasket 2022\", \"Murad III\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 3 |
+
{"perplexity": 30.17292859236589, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Bugatti\", \"Lamborghini\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 4 |
+
{"perplexity": 32.59691031194372, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Apple\", \"Microsoft\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 5 |
+
{"perplexity": 31.895439436323255, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Lee Chong Wei\", \"Lin Dan\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 6 |
+
{"perplexity": 33.809457735967364, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Microsoft\", \"Google\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 7 |
+
{"perplexity": 41.791391037192845, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Samsung\", \"Pitbull\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 8 |
+
{"perplexity": 24.744770979727186, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Cristiano Ronaldo\", \"Lionel Messi\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 9 |
+
{"perplexity": 35.20845841607858, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Germany\", \"Austria\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 10 |
+
{"perplexity": 47.67093007619389, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Dyson\", \"Dualit\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 11 |
+
{"perplexity": 40.25256034827446, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Netflix\", \"Disney Plus\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 12 |
+
{"perplexity": 30.91184625750681, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"PyTorch\", \"TensorFlow\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 13 |
+
{"perplexity": 33.360232033763175, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Dell\", \"HP\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 14 |
+
{"perplexity": 30.376785515895648, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Sanpellegrino\", \"Volvic\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 15 |
+
{"perplexity": 35.42181333827453, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Mikhail Khodorkovsky\", \"Hezbollah\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 16 |
+
{"perplexity": 29.727868807015675, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"British Airways\", \"Aer Lingus\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 17 |
+
{"perplexity": 35.442232776324914, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Microsoft Teams\", \"Slack\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 18 |
+
{"perplexity": 33.75612155369397, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Federal Reserve Board\", \"Bank of England\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 19 |
+
{"perplexity": 37.643691804016065, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"American Psycho\", \"Chihuahua\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 20 |
+
{"perplexity": 31.440358560483013, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Mars\", \"Snickers\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 21 |
+
{"perplexity": 39.72626734198844, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"ASML\", \"LAM Research\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 22 |
+
{"perplexity": 45.36156624156148, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Jake Paul\", \"Tangled\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 23 |
+
{"perplexity": 27.777611633504062, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Nikhita Khrushchev\", \"Leonid Brezhnev\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 24 |
+
{"perplexity": 34.264571462593246, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Razer\", \"Dell\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 25 |
+
{"perplexity": 33.756456892061095, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Spotify\", \"Apple\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 26 |
+
{"perplexity": 37.428354845470665, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Kourtney Kardashian\", \"Jenna Fischer\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 27 |
+
{"perplexity": 32.59306157454303, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Twitter\", \"WhatsApp\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 28 |
+
{"perplexity": 33.05025809619872, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Manchester United\", \"Arsenal\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 29 |
+
{"perplexity": 33.0591955014012, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"WeChat\", \"WhatsApp\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 30 |
+
{"perplexity": 37.27121257611144, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Saudi Arabia\", \"Israel\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 31 |
+
{"perplexity": 32.6843239879356, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Bashar al-Assad\", \"Christianity\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 32 |
+
{"perplexity": 35.538172377767324, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Didier Deschamps\", \"Scott Adkins\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 33 |
+
{"perplexity": 25.61264853485445, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Lionel Messi\", \"Kylian Mbapp\u00e9\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 34 |
+
{"perplexity": 41.729738178137055, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Louis Philippe\", \"Peter England\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 35 |
+
{"perplexity": 42.83961744120199, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Steve Jobs\", \"Atlanta\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 36 |
+
{"perplexity": 37.203079943206646, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Bella Hadid\", \"Choi Woo-shik\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 37 |
+
{"perplexity": 41.32076707158104, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Mali\", \"Frances McDormand\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 38 |
+
{"perplexity": 23.409463647188062, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Coca-Cola Company\", \"Pepsi\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 39 |
+
{"perplexity": 24.181741046849332, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Khabib Nurmagomedov\", \"Conor McGregor\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 40 |
+
{"perplexity": 34.35915723621926, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Twitter\", \"Facebook\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 41 |
+
{"perplexity": 31.046146646405635, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Cardiff University\", \"Swansea University\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 42 |
+
{"perplexity": 24.393615783523433, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Isaac Newton\", \"Gottfried Leibniz\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 43 |
+
{"perplexity": 32.37533829627286, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Casio\", \"Texas Instruments\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 44 |
+
{"perplexity": 29.99417414272221, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Arsenal\", \"Tottenham Hotspur\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 45 |
+
{"perplexity": 35.00399044696463, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Nintendo\", \"Xbox\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 46 |
+
{"perplexity": 35.190603481176815, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"H&M\", \"Zalora\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 47 |
+
{"perplexity": 31.568002222379082, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Serena Williams\", \"Andy Murray\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 48 |
+
{"perplexity": 32.04515315617416, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Liverpool FC\", \"Manchester United\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 49 |
+
{"perplexity": 31.842066127322358, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Apple\", \"Samsung\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 50 |
+
{"perplexity": 30.771216392998124, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Expedia\", \"Trivago\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 51 |
+
{"perplexity": 24.773144364635442, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Heathrow Airport\", \"Gatwick Airport\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 52 |
+
{"perplexity": 31.14357583056801, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Mario\", \"Bowser\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 53 |
+
{"perplexity": 37.295397333538084, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"US\", \"China\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 54 |
+
{"perplexity": 28.694899602882867, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Olympic Games\", \"Helicobacter pylori\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 55 |
+
{"perplexity": 26.04179331180649, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"BMW\", \"Mercedes-Benz\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 56 |
+
{"perplexity": 31.494133387926606, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Blur\", \"Oasis\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 57 |
+
{"perplexity": 33.83331614928302, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Israel\", \"Palestine\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 58 |
+
{"perplexity": 34.87505404772322, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Toshiba\", \"LG\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 59 |
+
{"perplexity": 35.35535006163668, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Apple\", \"Rolex\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 60 |
+
{"perplexity": 39.25239765761267, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Tesla\", \"Skoda\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 61 |
+
{"perplexity": 35.191708169183286, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Thomas Jefferson\", \"Alexander Hamilton\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 62 |
+
{"perplexity": 31.065290086081664, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Chester FC\", \"Wrexham FC\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 63 |
+
{"perplexity": 35.85610030556606, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Line of Duty\", \"CSI\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 64 |
+
{"perplexity": 35.79281440275456, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Gladiator\", \"Imelda Staunton\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 65 |
+
{"perplexity": 37.276469039179396, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"UK\", \"France\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 66 |
+
{"perplexity": 28.436909327186655, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Nike\", \"Adidas\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 67 |
+
{"perplexity": 24.856684312914698, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Alain Prost\", \"Ayrton Senna\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 68 |
+
{"perplexity": 31.258425150659534, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Manchester City\", \"Manchester United\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 69 |
+
{"perplexity": 36.244331169949746, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"BBC\", \"The Guardian\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 70 |
+
{"perplexity": 33.24174250528314, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Amazon\", \"Ebay\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 71 |
+
{"perplexity": 33.255977637338475, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Sir Alex Ferguson\", \"Jose Mourinho\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 72 |
+
{"perplexity": 44.97156231490414, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"ASEAN\", \"Helen Hunt\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 73 |
+
{"perplexity": 32.45929320892493, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Hans Zimmer\", \"John Williams\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 74 |
+
{"perplexity": 37.00249352006672, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Noel Gallagher\", \"Liam Gallaguer\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 75 |
+
{"perplexity": 24.065785323603315, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"McDonald's\", \"Burger King\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 76 |
+
{"perplexity": 31.381308740312605, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Neoclassicism\", \"Romanticism\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 77 |
+
{"perplexity": 51.202027248472085, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Royal Feast\", \"Fast X\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 78 |
+
{"perplexity": 36.05983903147518, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Eminem\", \"MGK\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 79 |
+
{"perplexity": 25.594460771650233, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Sprite\", \"7 Up\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 80 |
+
{"perplexity": 36.62306471400675, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Katharine Hepburn\", \"Abrahamic religion\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 81 |
+
{"perplexity": 27.076257711781327, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Martin Luther King Jr.\", \"Malcolm X\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 82 |
+
{"perplexity": 41.912537006526975, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Ligue 1\", \"Hayley Atwell\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 83 |
+
{"perplexity": 43.553156859743765, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Vikram\", \"Coen brothers\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 84 |
+
{"perplexity": 37.415926506519845, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Russia\", \"China\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 85 |
+
{"perplexity": 44.11778609297761, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Mohamed Salah\", \"Korea\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 86 |
+
{"perplexity": 36.83610565255644, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Kingston\", \"Samsung\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 87 |
+
{"perplexity": 34.705528571301585, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"AWS\", \"GCP\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 88 |
+
{"perplexity": 29.063284669960606, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"Beatles\", \"Rolling Stones\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 89 |
+
{"perplexity": 35.42530263471051, "input": "Answer the question by yes or no. We know that [\"Sprite\", \"7 Up\"] are examples of entities that are competitors or rivals. Are [\"John Tyler\", \"Whig Party\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
experiments/results/lm_qa_1shots_1seed/davinci/ppl.friend__ally_of.jsonl
ADDED
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|
| 1 |
+
{"perplexity": 27.51632896393988, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Rishi Sunak\", \"Leo Varadkar\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 2 |
+
{"perplexity": 26.428732385886438, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Gondor\", \"Rohan\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 3 |
+
{"perplexity": 28.113855216036377, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"FIFA\", \"UEFA\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 4 |
+
{"perplexity": 21.333691380690254, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Joseph Stalin\", \"Josip Broz Tito\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 5 |
+
{"perplexity": 23.81803187242607, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Hillary Clinton\", \"Barack Obama\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 6 |
+
{"perplexity": 24.882441217435108, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Di Maio\", \"Salvini\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 7 |
+
{"perplexity": 30.624840528055525, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Yahoo\", \"Yahoo Japan\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 8 |
+
{"perplexity": 20.883535600545304, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Armenia\", \"Azerbaijan\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 9 |
+
{"perplexity": 37.04578331455301, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Doja Cat\", \"Anthony Albanese\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 10 |
+
{"perplexity": 17.898097410549028, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Pedro S\u00e1nchez\", \"Pablo Iglesias\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 11 |
+
{"perplexity": 39.01602618831658, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Islamic State\", \"Denys Prokopenko\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 12 |
+
{"perplexity": 31.376909488425074, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Brazil\", \"India\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 13 |
+
{"perplexity": 25.00961627294804, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Extinction Rebellion\", \"Greta Thunberg\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 14 |
+
{"perplexity": 26.446017412485556, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Sicily\", \"Calabria\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 15 |
+
{"perplexity": 31.412820232944572, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Oman\", \"Iran\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 16 |
+
{"perplexity": 37.92292146950357, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Sony\", \"ZEISS\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 17 |
+
{"perplexity": 41.28170517156306, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"FTX\", \"Alameda Research\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 18 |
+
{"perplexity": 31.5159100144543, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"UK\", \"Commonwealth\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 19 |
+
{"perplexity": 28.128901665546344, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Australia\", \"New Zealand\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 20 |
+
{"perplexity": 26.348563519765857, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Kylo Ren\", \"Rey\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 21 |
+
{"perplexity": 30.264039695234846, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Anne Boleyn\", \"Columbia Pictures\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 22 |
+
{"perplexity": 28.779108304852436, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"KGB\", \"CIA\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 23 |
+
{"perplexity": 34.294523604735765, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Rishi Sunak\", \"Joe Biden\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 24 |
+
{"perplexity": 26.22327151412577, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Quentin Tarantino\", \"Edgar Wright\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 25 |
+
{"perplexity": 24.261973933174882, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Keir Starmer\", \"Jeremy Corbyn\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 26 |
+
{"perplexity": 22.46754431259874, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"U.S.S.R.\", \"East Germany\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 27 |
+
{"perplexity": 23.914012922996335, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Harry Potter\", \"Severus Snape\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 28 |
+
{"perplexity": 25.922841895131057, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Tata Motors\", \"Jaguar\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 29 |
+
{"perplexity": 34.21971488591744, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Kendall Jenner\", \"Bergen\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 30 |
+
{"perplexity": 36.467296664658654, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Thomas Jefferson\", \"Kid Cudi\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 31 |
+
{"perplexity": 28.014834274229383, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"South Korea\", \"Japan\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 32 |
+
{"perplexity": 26.096241548463325, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Spain\", \"Portugal\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 33 |
+
{"perplexity": 26.26039380265143, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Liam Gallagher\", \"Noel Gallagher\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 34 |
+
{"perplexity": 25.08800158059963, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"France\", \"Belgium\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 35 |
+
{"perplexity": 27.993566067684636, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Turkish Airlines\", \"All Nippon Airways\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 36 |
+
{"perplexity": 26.12927503017995, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Malaysia\", \"Singapore\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 37 |
+
{"perplexity": 27.83219687423701, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"JP Morgan\", \"Morgan Stanley\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 38 |
+
{"perplexity": 23.624746576234152, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Sophia Loren\", \"Marlon Brando\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 39 |
+
{"perplexity": 17.308942341162652, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"J.R.R. Tolkien\", \"C.S. Lewis\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 40 |
+
{"perplexity": 27.838121294642495, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"China\", \"North Korea\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 41 |
+
{"perplexity": 22.81459400389464, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Margaret Thatcher\", \"Ronald Reagan\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 42 |
+
{"perplexity": 30.006597110393447, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Eva Per\u00f3n\", \"Interpol\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 43 |
+
{"perplexity": 32.241584216711956, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"UK\", \"Ireland\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 44 |
+
{"perplexity": 32.04135710020881, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Singapore\", \"Israel\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 45 |
+
{"perplexity": 27.596917822576806, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Eastern Orthodoxy\", \"Oriental Orthodoxy\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 46 |
+
{"perplexity": 29.83010785904526, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"India\", \"US\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 47 |
+
{"perplexity": 31.2961383345222, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Ed Gein\", \"Colonel Sanders\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 48 |
+
{"perplexity": 25.989588679903616, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Beatles\", \"Rolling Stones\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 49 |
+
{"perplexity": 33.264128631828214, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Red Bull\", \"GoPro\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 50 |
+
{"perplexity": 30.095046559570292, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"HSBC\", \"BlackRock\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 51 |
+
{"perplexity": 32.277663365445996, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Elsa\", \"Anna\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 52 |
+
{"perplexity": 24.435061168469478, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Macbeth\", \"Banquo\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 53 |
+
{"perplexity": 24.392203507571494, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Aznar\", \"Bush\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 54 |
+
{"perplexity": 33.99234390668759, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Google\", \"Samsung\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 55 |
+
{"perplexity": 27.60144650692147, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"IMF\", \"The World Bank\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 56 |
+
{"perplexity": 29.591243912704492, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Nikon\", \"Tokina\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 57 |
+
{"perplexity": 26.815665167225873, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Walter White\", \"Gus Fring\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 58 |
+
{"perplexity": 26.98725782093156, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Ron Weasley\", \"Neville Longbottom\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 59 |
+
{"perplexity": 21.304567500631006, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Darth Vader\", \"Emperor Palpatine\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 60 |
+
{"perplexity": 22.246603270539595, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Coca-Cola\", \"McDonald's\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 61 |
+
{"perplexity": 28.665924955466927, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Instagram\", \"WhatsApp\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 62 |
+
{"perplexity": 29.45167211990832, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Noah Schnapp\", \"Galatasaray S.K.\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 63 |
+
{"perplexity": 30.593699189340338, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"US\", \"Canada\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 64 |
+
{"perplexity": 29.243215851618654, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Bob Marley\", \"Abu Bakr\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 65 |
+
{"perplexity": 32.809465604843616, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Jeff Bezos\", \"GitHub\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 66 |
+
{"perplexity": 31.46504802030746, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Hong Kong\", \"HSBC\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 67 |
+
{"perplexity": 25.83972043361699, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"United States\", \"United Kingdom\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 68 |
+
{"perplexity": 24.33448103735099, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Porter Wagoner\", \"Dolly Parton\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 69 |
+
{"perplexity": 37.0920670136955, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Achilles\", \"Jonathan Bailey\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 70 |
+
{"perplexity": 33.06348065065639, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Linus Sebastian\", \"Marques Brownlee\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 71 |
+
{"perplexity": 25.238389968310802, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Catherine Zeta-Jones\", \"Johnny Knoxville\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 72 |
+
{"perplexity": 35.38328492501801, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Amazon\", \"Royal Mail\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 73 |
+
{"perplexity": 30.802613516282364, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"The Beatles\", \"Queen\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 74 |
+
{"perplexity": 29.222920823726778, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Benedict Cumberbatch\", \"Hanukkah\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 75 |
+
{"perplexity": 32.916976013083264, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Huawei\", \"China\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 76 |
+
{"perplexity": 31.27337018922225, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Rishi Sunak\", \"Emmanuel Macron\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 77 |
+
{"perplexity": 35.53876630031187, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Microsoft\", \"LinkedIn\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 78 |
+
{"perplexity": 35.570572642262, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Paul Rudd\", \"Memento\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 79 |
+
{"perplexity": 30.567767710909784, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Russia\", \"Georgia\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 80 |
+
{"perplexity": 26.56183735457642, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Germany\", \"France\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 81 |
+
{"perplexity": 30.590878640953743, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Stephen Hawking\", \"Brian Cox\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 82 |
+
{"perplexity": 21.271429189601804, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Jean-Michel Basquiat\", \"Andy Warhol\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 83 |
+
{"perplexity": 33.775188237682904, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Mark Drakeford\", \"Rishi Sunak\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 84 |
+
{"perplexity": 36.37233382647981, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"J\u00fcrgen Klopp\", \"Exo\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 85 |
+
{"perplexity": 34.953696923345504, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Windows\", \"Xbox\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 86 |
+
{"perplexity": 33.199774049988356, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Saturn\", \"Rachel Bilson\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 87 |
+
{"perplexity": 34.126811421498466, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Ottoman Empire\", \"Snowpiercer\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 88 |
+
{"perplexity": 27.02407450012412, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Johnny Cash\", \"Waylon Jennings\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 89 |
+
{"perplexity": 27.841718375627895, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"UN\", \"NATO\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 90 |
+
{"perplexity": 27.02903820303427, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Boris Johnson\", \"Emmanuel Macron\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 91 |
+
{"perplexity": 24.275548930141134, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Cersei Lannister\", \"Euron Greyjoy\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 92 |
+
{"perplexity": 29.501564925502183, "input": "Answer the question by yes or no. We know that [\"Aznar\", \"Bush\"] are examples of entities that are friends or allies. Are [\"Japan\", \"Taiwan\"] entities that are friends or allies as well?\n yes", "output": ""}
|
experiments/results/lm_qa_1shots_1seed/davinci/ppl.influenced_by.jsonl
ADDED
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| 1 |
+
{"perplexity": 48.05441424669434, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Prince Harry\", \"Monarchy\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 2 |
+
{"perplexity": 49.609999459039564, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"F1\", \"social media\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 3 |
+
{"perplexity": 32.392129202582964, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Elton John\", \"Elvis Presley\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 4 |
+
{"perplexity": 45.186539127511054, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Jack Black\", \"Waffen-SS\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 5 |
+
{"perplexity": 30.36805500396688, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Game of Thrones\", \"Lord of the Rings\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 6 |
+
{"perplexity": 42.6552443653621, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Canon\", \"Nikon\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 7 |
+
{"perplexity": 29.866340467133153, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Thomas Aquinas\", \"Aristotle\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 8 |
+
{"perplexity": 44.59614909163591, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Android\", \"iOS\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 9 |
+
{"perplexity": 49.64428267864379, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Charles Baudelaire\", \"Tornado MRCA\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 10 |
+
{"perplexity": 53.309651336442926, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"trending music\", \"TikTok\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 11 |
+
{"perplexity": 36.71275075879013, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Xi Jinping\", \"Kim Jong-il\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 12 |
+
{"perplexity": 36.13151994552968, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Beethoven\", \"romanticism\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 13 |
+
{"perplexity": 33.84886172180072, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Edgar Allan Poe\", \"Romanticism\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 14 |
+
{"perplexity": 48.0329996751515, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"US\", \"NASA\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 15 |
+
{"perplexity": 40.97657583351203, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Wales\", \"Westminster\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 16 |
+
{"perplexity": 48.048773569951315, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Sierra Leone\", \"Pulp fiction\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 17 |
+
{"perplexity": 41.32529493976409, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Ethereum\", \"Bitcoin\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 18 |
+
{"perplexity": 39.08246782192824, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Theresa May\", \"David Cameron\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 19 |
+
{"perplexity": 42.73916753221718, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Anna Delvey\", \"Bernie Madoff\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 20 |
+
{"perplexity": 32.83651749152028, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Lord of the Rings\", \"Beowulf\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 21 |
+
{"perplexity": 38.63884708264932, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Andrew Johnson\", \"Abraham Lincoln\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 22 |
+
{"perplexity": 47.57693344401765, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"LinkedIn\", \"Facebook\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 23 |
+
{"perplexity": 33.26128934192365, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Picasso\", \"Cezanne\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 24 |
+
{"perplexity": 42.51455779216493, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Playstation\", \"Xbox\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 25 |
+
{"perplexity": 47.68487241301041, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Kevin Spacey\", \"Tenerife\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 26 |
+
{"perplexity": 45.95889616974723, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Saudi Arabia\", \"US\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 27 |
+
{"perplexity": 42.10537832170744, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Fitbit\", \"heart rate monitor\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 28 |
+
{"perplexity": 42.24988670560965, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Taiwan\", \"China\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 29 |
+
{"perplexity": 28.63002903539282, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Kylian Mbappe\", \"Cristiano Ronaldo\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 30 |
+
{"perplexity": 37.07885566456797, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Picasso\", \"cubism\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 31 |
+
{"perplexity": 37.59191494441768, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Miley Cyrus\", \"Lorde\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 32 |
+
{"perplexity": 32.64913833523677, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Neymar\", \"Alexis S\u00e1nchez\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 33 |
+
{"perplexity": 38.75286150109568, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Smashing Pumpkins\", \"Beatles\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 34 |
+
{"perplexity": 47.83241623241422, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Portuguese\", \"The Prestige\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 35 |
+
{"perplexity": 46.05507364563993, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Luke Evans\", \"Ava Gardner\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 36 |
+
{"perplexity": 43.70493872538014, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"MacOS\", \"Linux\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 37 |
+
{"perplexity": 49.19182657036781, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Transport for Wales\", \"National Rail\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 38 |
+
{"perplexity": 34.94789059369478, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Herbie Hancock\", \"Miles Davis\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 39 |
+
{"perplexity": 38.67890861066733, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"India\", \"Hinduism\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 40 |
+
{"perplexity": 42.37754181723185, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"hip hop\", \"jazz\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 41 |
+
{"perplexity": 32.476038813640436, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Bob Dylan\", \"Woody Guthrie\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 42 |
+
{"perplexity": 44.98500923738657, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Tim Burton\", \"German expressionism\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 43 |
+
{"perplexity": 35.84807748404682, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Eamon de Valera\", \"James Napper Tandy\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 44 |
+
{"perplexity": 43.35964801810371, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Joe Biden\", \"Donald Trump\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 45 |
+
{"perplexity": 41.46543298600104, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Shaquille O'Neal\", \"Selim II\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 46 |
+
{"perplexity": 42.843315969479505, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Cobra Kai\", \"Anna Chlumsky\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 47 |
+
{"perplexity": 33.21310048007671, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Harry Potter\", \"Wizard of Oz\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 48 |
+
{"perplexity": 30.90388048737723, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Coca-Cola\", \"Pepsi\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 49 |
+
{"perplexity": 42.78272193154328, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Apple Music\", \"Spotify\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 50 |
+
{"perplexity": 35.03691819470801, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Singaporean food\", \"Malaysian food\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 51 |
+
{"perplexity": 50.946678293265364, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Guess\", \"Gucci\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 52 |
+
{"perplexity": 46.224700063461796, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Commonwealth\", \"United Kingdom\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 53 |
+
{"perplexity": 48.421221529079205, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"machine learning\", \"Google\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 54 |
+
{"perplexity": 36.26806934746318, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Antonio Salazar\", \"fascism\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 55 |
+
{"perplexity": 46.994595072339344, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Facebook\", \"LinkedIn\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 56 |
+
{"perplexity": 34.84689503695328, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Hank Williams\", \"Jimmie Rodgers\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 57 |
+
{"perplexity": 64.06229429327924, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"painters\", \"Stable Diffusion\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 58 |
+
{"perplexity": 52.04262946495423, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Walmart\", \"Rivaldo\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 59 |
+
{"perplexity": 44.36935710622166, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Sauron\", \"Shiba Inu\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 60 |
+
{"perplexity": 37.70492342261996, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Bruno Mars\", \"James Brown\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 61 |
+
{"perplexity": 45.95914624332898, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Brazil\", \"Spain\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 62 |
+
{"perplexity": 44.822540333815176, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"heavy metal\", \"punk music\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 63 |
+
{"perplexity": 39.17748317874704, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Moon\", \"G\u00f6bekli Tepe\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 64 |
+
{"perplexity": 44.485404007731255, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"English\", \"William Shakespeare\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 65 |
+
{"perplexity": 42.450808304652334, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Beatles\", \"Alice in Wonderland\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 66 |
+
{"perplexity": 35.198306690520155, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"impressionism\", \"Edouard Manet\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 67 |
+
{"perplexity": 41.52197681570127, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Gilbert Gottfried\", \"Mike Krieger\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 68 |
+
{"perplexity": 40.53186240563553, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Vladimir Lenin\", \"chess\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 69 |
+
{"perplexity": 30.833875398000554, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Pepsi\", \"Coca-Cola\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 70 |
+
{"perplexity": 38.154638375490556, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Alicia Vikander\", \"Richard Attenborough\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 71 |
+
{"perplexity": 42.16660180390896, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Luke Bryan\", \"Hank Williams\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 72 |
+
{"perplexity": 35.20629191964701, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Bill Gates\", \"Steve Jobs\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 73 |
+
{"perplexity": 55.537387219908155, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Allu Arjun\", \"Aaron Ramsey\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 74 |
+
{"perplexity": 42.58312272498842, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Stephen King\", \"Arthur Machen\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 75 |
+
{"perplexity": 39.713817474286074, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Bangladesh\", \"India\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 76 |
+
{"perplexity": 47.678226380702625, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"hamburger\", \"Germany\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 77 |
+
{"perplexity": 28.09588310205613, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Plato\", \"Socrates\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 78 |
+
{"perplexity": 35.819377749563245, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Messi\", \"Maradona\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 79 |
+
{"perplexity": 38.36266355585735, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Oasis\", \"Blur\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 80 |
+
{"perplexity": 32.270406354082894, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Quentin Tarantino\", \"Sergio Leone\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 81 |
+
{"perplexity": 44.71196599451709, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"European Union\", \"Germany\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 82 |
+
{"perplexity": 48.32478982038524, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Stephen Foster\", \"Thomas Moore\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 83 |
+
{"perplexity": 43.880447446706306, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Hoover\", \"Dyson\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 84 |
+
{"perplexity": 35.12302352337209, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Mark Rothko\", \"Claude Monet\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 85 |
+
{"perplexity": 38.909305810820946, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"James Brown\", \"Michael Jackson\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 86 |
+
{"perplexity": 44.920457897119775, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Windows\", \"Linux\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 87 |
+
{"perplexity": 41.11402507386306, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Radiohead\", \"David Bowie\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 88 |
+
{"perplexity": 48.62390808837721, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"NVIDIA\", \"AMD\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 89 |
+
{"perplexity": 41.51752502843217, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"India\", \"Gandhi\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 90 |
+
{"perplexity": 40.856761328842545, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Viktor Yushchenko\", \"Bonnie Wright\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 91 |
+
{"perplexity": 29.290988855718552, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Beethoven\", \"Mozart\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 92 |
+
{"perplexity": 42.891518777711326, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Bitcoin\", \"blockchain\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 93 |
+
{"perplexity": 40.240734689654275, "input": "Answer the question by yes or no. We know that [\"Plato\", \"Socrates\"] are examples of what has influenced different entities. Are [\"Hong Kong\", \"China\"] what has influenced different entities as well?\n yes", "output": ""}
|
experiments/results/lm_qa_1shots_1seed/davinci/ppl.known_for.jsonl
ADDED
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| 1 |
+
{"perplexity": 24.029161044665827, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Hawaii\", \"ukulele\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 2 |
+
{"perplexity": 20.565868374317773, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Paris\", \"Eiffel Tower\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 3 |
+
{"perplexity": 27.02517872217849, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Sweden\", \"pop\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 4 |
+
{"perplexity": 29.89878569061303, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Memphis Depay\", \"Mendelian inheritance\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 5 |
+
{"perplexity": 25.359513994229754, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"France\", \"beaches\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 6 |
+
{"perplexity": 27.5121653367421, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"France\", \"cars\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 7 |
+
{"perplexity": 22.95770074518181, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Alphabet Inc.\", \"Google\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 8 |
+
{"perplexity": 18.30508754484489, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Vincent Van Gogh\", \"The Starry Night\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 9 |
+
{"perplexity": 27.125683954672596, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Italy\", \"Hawaiian pizza\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 10 |
+
{"perplexity": 30.95221509677442, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Japan\", \"glass product\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 11 |
+
{"perplexity": 31.216055768707847, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"France\", \"rococo movement\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 12 |
+
{"perplexity": 26.738879202042448, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Europe\", \"The Final Countdown\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 13 |
+
{"perplexity": 23.175092545488567, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Sophie Turner\", \"Sylvia Plath\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 14 |
+
{"perplexity": 23.9341142612491, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Bill Nye\", \"scientist\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 15 |
+
{"perplexity": 24.856285419397125, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Mercedes Benz\", \"build quality\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 16 |
+
{"perplexity": 22.621838160542616, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Hawaii\", \"beaches\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 17 |
+
{"perplexity": 23.74872727571625, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Jackson Pollock\", \"action painting\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 18 |
+
{"perplexity": 29.15870976678861, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Andhra Pradesh\", \"Martinique\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 19 |
+
{"perplexity": 21.36439763238651, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Keanu Reeves\", \"The Matrix\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 20 |
+
{"perplexity": 26.976451339246637, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Christopher Columbus\", \"India\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 21 |
+
{"perplexity": 21.907252328185564, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Picasso\", \"Guernica\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 22 |
+
{"perplexity": 24.851522959974435, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Italy\", \"Renaissance\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 23 |
+
{"perplexity": 28.631202531105306, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Korea\", \"Breakdance\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 24 |
+
{"perplexity": 25.059983407895444, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Spain\", \"olive oil\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 25 |
+
{"perplexity": 18.1074704271955, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"C.S. Lewis\", \"The Screwtape Letters\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 26 |
+
{"perplexity": 19.76847226109554, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Corsica\", \"Napoleon Bonaparte\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 27 |
+
{"perplexity": 23.328555387667123, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Rafael Nadal\", \"Ralph Macchio\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 28 |
+
{"perplexity": 25.12665380470203, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Walther P38\", \"Lupin the Third\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 29 |
+
{"perplexity": 33.54016417290473, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Richard Harris\", \"Curcuma longa\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 30 |
+
{"perplexity": 22.485443325457815, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Smashing Pumpkins\", \"Thru the eyes of Ruby\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 31 |
+
{"perplexity": 28.39627994903685, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"India\", \"rum\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 32 |
+
{"perplexity": 29.88537403532061, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Parasite\", \"Jersey\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 33 |
+
{"perplexity": 23.468188765478203, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"India\", \"Gurkhas\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 34 |
+
{"perplexity": 24.04967321919502, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Amazon\", \"Alexa\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 35 |
+
{"perplexity": 25.820147223354535, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Thomas Edison\", \"telephone\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 36 |
+
{"perplexity": 29.747359013396053, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Buffon\", \"PSG\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 37 |
+
{"perplexity": 21.375717917399744, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Alfred Hitchcock\", \"horror\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 38 |
+
{"perplexity": 19.44546810532949, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"William Shakespeare\", \"Romeo and Juliet\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 39 |
+
{"perplexity": 23.46266619350672, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Thomas Edison\", \"light bulb\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 40 |
+
{"perplexity": 29.4328870294761, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Michael Jordan\", \"Tessa Thompson\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 41 |
+
{"perplexity": 20.03041446994427, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Inglourious Basterds\", \"Sergio Busquets\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 42 |
+
{"perplexity": 24.097308626695334, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Boris Johnson\", \"Brexit\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 43 |
+
{"perplexity": 28.28954177322587, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Georgia\", \"Joseph Stalin\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 44 |
+
{"perplexity": 24.87929887627794, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"China\", \"coffee\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 45 |
+
{"perplexity": 39.59794260952223, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"OpenAI\", \"ChatGPT\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 46 |
+
{"perplexity": 21.558914238325443, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Tesco\", \"groceries\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 47 |
+
{"perplexity": 24.245851323392444, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Amazon\", \"cloud computing\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 48 |
+
{"perplexity": 23.75874018492306, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Nvidia\", \"GPUs\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 49 |
+
{"perplexity": 24.012160688903144, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Tony Blair\", \"Iraq War\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 50 |
+
{"perplexity": 26.79984040260899, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Germany\", \"techno music\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 51 |
+
{"perplexity": 25.724854101845068, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Michelangelo\", \"Pop Art\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 52 |
+
{"perplexity": 30.419450195515093, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Gilmore Girls\", \"OpenAI\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 53 |
+
{"perplexity": 29.31876582315914, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Ragnar\u00f6k\", \"Little Boy\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 54 |
+
{"perplexity": 26.11610219970766, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Pizzagate\", \"Hillary Clinton\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 55 |
+
{"perplexity": 23.421570503871553, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"George Orwell\", \"Coming Up for Air\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 56 |
+
{"perplexity": 25.43279284623014, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Italy\", \"wine\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 57 |
+
{"perplexity": 18.328552121848602, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Coca-Cola\", \"Pepsi\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 58 |
+
{"perplexity": 24.73771279394083, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Spotify\", \"Podcasts\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 59 |
+
{"perplexity": 26.055430107014203, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Valencia\", \"paella\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 60 |
+
{"perplexity": 28.443441561594003, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"The Office\", \"IBM\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 61 |
+
{"perplexity": 28.005567494813274, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Romania\", \"Roman Catholicism\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 62 |
+
{"perplexity": 25.1294850373138, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"George Washington\", \"Kiribati\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 63 |
+
{"perplexity": 27.463758205887913, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Charles Bronson\", \"Rory McIlroy\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 64 |
+
{"perplexity": 23.80670874162259, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Belgium\", \"wine\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 65 |
+
{"perplexity": 27.213717017642193, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Luka Modri\u0107\", \"Rottweiler\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 66 |
+
{"perplexity": 21.001297293494837, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Switzerland\", \"mountains\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 67 |
+
{"perplexity": 23.383640628876037, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Assassin's Creed\", \"history\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 68 |
+
{"perplexity": 21.321645375343703, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Red Bull\", \"energy drinks\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 69 |
+
{"perplexity": 23.71030960856005, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Johnny Cash\", \"Ring of Fire\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 70 |
+
{"perplexity": 24.3595486863399, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Microsoft\", \"Xbox\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 71 |
+
{"perplexity": 21.548040200268254, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Canada\", \"maple syrup\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 72 |
+
{"perplexity": 23.315445479291206, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"France\", \"cheese\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 73 |
+
{"perplexity": 26.105159087411018, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"France\", \"beer\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 74 |
+
{"perplexity": 21.63091140167247, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Nintendo\", \"Super Mario Bros.\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 75 |
+
{"perplexity": 26.30038463653281, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"democracy\", \"North Korea\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 76 |
+
{"perplexity": 22.424973736542714, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Apple\", \"iPhone\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 77 |
+
{"perplexity": 21.739748108392845, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Harry Potter\", \"Bloomsbury\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 78 |
+
{"perplexity": 24.86279566760029, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"France\", \"mountains\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 79 |
+
{"perplexity": 27.921641279961584, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"UK\", \"rain\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 80 |
+
{"perplexity": 23.792747635391734, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Matt Damon\", \"Ocean's Eleven\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 81 |
+
{"perplexity": 22.7910277295469, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Switzerland\", \"banking secrecy\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 82 |
+
{"perplexity": 22.342236624372255, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Adidas\", \"Yeezy Boost\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 83 |
+
{"perplexity": 25.53485360972664, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Portugal\", \"Fado\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 84 |
+
{"perplexity": 26.820576294946335, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Italy\", \"tea\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 85 |
+
{"perplexity": 25.374135727810103, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Beatles\", \"Come Together\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 86 |
+
{"perplexity": 22.92122981619458, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Afro-Brazilians\", \"Capoeira\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 87 |
+
{"perplexity": 24.919578950060846, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Steve Jobs\", \"AirPods\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 88 |
+
{"perplexity": 23.24151740229606, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Apple\", \"Apple Watch\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 89 |
+
{"perplexity": 26.59888887363058, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Frank Abagnale Jr\", \"doctor\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 90 |
+
{"perplexity": 34.475866726896264, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Meta\", \"Instagram\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 91 |
+
{"perplexity": 19.26448732983023, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Jeff Goldblum\", \"Jurassic Park\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 92 |
+
{"perplexity": 19.90167448666696, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Leonardo Da Vinci\", \"Mona Lisa\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 93 |
+
{"perplexity": 26.372859619211457, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Neil Armstrong\", \"Korean War\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 94 |
+
{"perplexity": 23.33440368467273, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"France\", \"baguette\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 95 |
+
{"perplexity": 20.657207569820198, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Queen\", \"Bohemian Rhapsody\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 96 |
+
{"perplexity": 24.869857184280306, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Pixar\", \"Novosibirsk\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 97 |
+
{"perplexity": 19.445579739057465, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Greggs\", \"sausage rolls\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 98 |
+
{"perplexity": 25.050096969467294, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Japan\", \"sake\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 99 |
+
{"perplexity": 24.70825896047109, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"IKEA\", \"food\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 100 |
+
{"perplexity": 24.471973259117924, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"William Grant & Sons\", \"gin\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 101 |
+
{"perplexity": 21.867066128130244, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Netherlands\", \"tulips\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 102 |
+
{"perplexity": 28.488632540749613, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"LAMY\", \"notebook\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 103 |
+
{"perplexity": 23.645075290636182, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Harvey Weinstein\", \"Miramax\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 104 |
+
{"perplexity": 24.046883876972704, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Scotland\", \"whisky\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 105 |
+
{"perplexity": 23.30096032901828, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Apple\", \"MacBook\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 106 |
+
{"perplexity": 23.26328534156932, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Steve Jobs\", \"Apple\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 107 |
+
{"perplexity": 25.708798626198842, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Beatles\", \"I Me Mine\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 108 |
+
{"perplexity": 21.42358096118122, "input": "Answer the question by yes or no. We know that [\"Cadbury\", \"chocolate\"] are examples of examples of what entities are known for. Are [\"Google\", \"search engine\"] examples of what entities are known for as well?\n yes", "output": ""}
|
experiments/results/lm_qa_1shots_1seed/davinci/ppl.similar_to.jsonl
ADDED
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| 1 |
+
{"perplexity": 25.94494049366175, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"pill\", \"tablet\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 2 |
+
{"perplexity": 19.945801906811088, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Eduardo Saverin\", \"Guinea-Bissau\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 3 |
+
{"perplexity": 23.861412935187122, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Dionysus\", \"Toyota Corolla\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 4 |
+
{"perplexity": 26.080133432873833, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Great Britian\", \"British Empire\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 5 |
+
{"perplexity": 24.34550423042216, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"English\", \"Persian\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 6 |
+
{"perplexity": 21.775479988680026, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Chess\", \"Rubik's Cube\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 7 |
+
{"perplexity": 21.298102274555863, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Star Wars\", \"Star Trek\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 8 |
+
{"perplexity": 26.58341147277898, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Anne Heche\", \"Ponzi scheme\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 9 |
+
{"perplexity": 32.56662987349836, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Chris Pine\", \"Good Friday\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 10 |
+
{"perplexity": 22.134198555047234, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Sudocrem\", \"Germolene\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 11 |
+
{"perplexity": 19.11885736216531, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Yugoslavia\", \"Albania\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 12 |
+
{"perplexity": 21.06820483304587, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Beatles\", \"Rolling Stones\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 13 |
+
{"perplexity": 22.502973468916114, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"decision tree\", \"neural network\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 14 |
+
{"perplexity": 23.40907707032389, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Suits\", \"Law & Order\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 15 |
+
{"perplexity": 25.120629091660316, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Titanic\", \"Superbad\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 16 |
+
{"perplexity": 19.801428895140525, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Seleucid Empire\", \"Macedonian Empire\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 17 |
+
{"perplexity": 26.155631294672684, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Doctor Who\", \"Timeless\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 18 |
+
{"perplexity": 26.915918901113674, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Srebrenica massacre\", \"Rock Hudson\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 19 |
+
{"perplexity": 22.33389000082331, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Arnold Classic\", \"Mr. Olympia\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 20 |
+
{"perplexity": 27.480847390737782, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Italy\", \"Superman\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 21 |
+
{"perplexity": 24.7111656389016, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Alibaba\", \"Amazon\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 22 |
+
{"perplexity": 22.342965264650797, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Indiana Jones\", \"Star Wars\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 23 |
+
{"perplexity": 31.486718081057777, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"NQ64\", \"Wetherspoons\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 24 |
+
{"perplexity": 21.61856335163838, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Pepsi\", \"Fanta\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 25 |
+
{"perplexity": 24.222787624887406, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Homebase\", \"IKEA\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 26 |
+
{"perplexity": 26.089362935415316, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"ramen\", \"udon\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 27 |
+
{"perplexity": 21.773997541519826, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"England\", \"Wales\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 28 |
+
{"perplexity": 21.277204180373058, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"sphinx\", \"sphynx\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 29 |
+
{"perplexity": 22.76440241287919, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"iPod\", \"iPad\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 30 |
+
{"perplexity": 21.225613170888455, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Olympic Games\", \"X Games\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 31 |
+
{"perplexity": 19.184582491146127, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"McDonald's\", \"Burger King\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 32 |
+
{"perplexity": 25.805948914675685, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Minnesota\", \"Wisconsin\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 33 |
+
{"perplexity": 25.135322529967798, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Slack\", \"Microsoft Teams\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 34 |
+
{"perplexity": 29.86303297834371, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Peter Phillips\", \"Christine Baranski\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 35 |
+
{"perplexity": 24.957652089532562, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Jenna Ortega\", \"Anglo-Saxons\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 36 |
+
{"perplexity": 34.79170834345967, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Karl Urban\", \"France 24\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 37 |
+
{"perplexity": 20.747103548267237, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Sudan\", \"South Sudan\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 38 |
+
{"perplexity": 26.45362675373333, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Gameboy\", \"Nintendo\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 39 |
+
{"perplexity": 23.524255920348857, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Grammy Award\", \"Novel Prize\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 40 |
+
{"perplexity": 30.070825294281867, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"George Ezra\", \"Lead Belly\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 41 |
+
{"perplexity": 21.366538663194955, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Cardiff\", \"Swansea\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 42 |
+
{"perplexity": 23.58327622417954, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Steve Jobs\", \"Tim Cook\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 43 |
+
{"perplexity": 23.490889543895072, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Counter Strike\", \"Rainbow Six\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 44 |
+
{"perplexity": 23.247221113959412, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Hawaii\", \"Guam\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 45 |
+
{"perplexity": 20.804315021626966, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Scrabble\", \"Jenga\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 46 |
+
{"perplexity": 23.238367791511035, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Christmas\", \"Easter\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 47 |
+
{"perplexity": 25.792615620792684, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"fusilli\", \"rotini\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 48 |
+
{"perplexity": 22.36421772571786, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Coachella\", \"Woodstock\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 49 |
+
{"perplexity": 27.95740369095979, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Avatar\", \"Archimedes\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 50 |
+
{"perplexity": 30.306717436975656, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Shark\", \"Bush\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 51 |
+
{"perplexity": 31.372734373308248, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Eva Braun\", \"Phil Jackson\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 52 |
+
{"perplexity": 18.52917926859394, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Coca-Cola\", \"Pepsi\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 53 |
+
{"perplexity": 28.401617547824436, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Joe Burrow\", \"Edward Scissorhands\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 54 |
+
{"perplexity": 22.045944010084675, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Australia\", \"New Zealand\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 55 |
+
{"perplexity": 22.965986477293043, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Edward I\", \"William the Conqueror\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 56 |
+
{"perplexity": 22.637940071210064, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Frank Sinatra\", \"Ella Fitzgerald\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 57 |
+
{"perplexity": 24.492223660062, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"New York\", \"York\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 58 |
+
{"perplexity": 22.735707858991162, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Uzbekistan\", \"United States\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 59 |
+
{"perplexity": 25.264556442964786, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Red Bull\", \"Monster Energy\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 60 |
+
{"perplexity": 17.05017520979985, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Champions League\", \"Europa League\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 61 |
+
{"perplexity": 25.624433407825617, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Cerave\", \"Nivea\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 62 |
+
{"perplexity": 25.353473220127334, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Galaxy\", \"iPhone\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 63 |
+
{"perplexity": 26.044203642381785, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Mehmet \u00d6z\", \"David Schwimmer\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 64 |
+
{"perplexity": 22.716170004340874, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Disney\", \"Pixar\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 65 |
+
{"perplexity": 23.790271975380076, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Batman\", \"Iron Man\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 66 |
+
{"perplexity": 20.731400919342946, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Gisele B\u00fcndchen\", \"Orson Welles\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 67 |
+
{"perplexity": 20.877372888710703, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Estonia\", \"Finland\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 68 |
+
{"perplexity": 22.21914739060494, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"The Avengers\", \"The Justice League\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 69 |
+
{"perplexity": 15.197765589269816, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Nicolae Ceau\u0219escu\", \"Javier Hern\u00e1ndez\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 70 |
+
{"perplexity": 20.39864574108991, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Adidas\", \"Nike\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 71 |
+
{"perplexity": 23.80820192263052, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Java\", \"Javascript\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 72 |
+
{"perplexity": 24.806828312671797, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"bourbon\", \"Scotch whisky\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 73 |
+
{"perplexity": 24.033774484673856, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Alaska\", \"Canada\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 74 |
+
{"perplexity": 22.17504811383463, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Spain\", \"Italy\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 75 |
+
{"perplexity": 23.484020413223117, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"banana\", \"plantain\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 76 |
+
{"perplexity": 21.45029818299116, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Firefox\", \"Chrome\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 77 |
+
{"perplexity": 20.107248240530545, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Pecorino Romano\", \"Parmesan\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 78 |
+
{"perplexity": 14.404137649021957, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Ligue 1\", \"Bundesliga\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 79 |
+
{"perplexity": 22.43326969792566, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Netflix\", \"Amazon Prime Video\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 80 |
+
{"perplexity": 28.29840091244572, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Primark\", \"Shein\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 81 |
+
{"perplexity": 22.702582061311237, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Dominos' Pizza\", \"Pizza Hut\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 82 |
+
{"perplexity": 22.19575685185514, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"South Africa\", \"Bhagavad Gita\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 83 |
+
{"perplexity": 21.38411250815587, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Germany\", \"France\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 84 |
+
{"perplexity": 27.27989885341564, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Kindle\", \"Jeff Bezos\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 85 |
+
{"perplexity": 19.128162975127083, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Harry Potter\", \"Lord of the Rings\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 86 |
+
{"perplexity": 24.326585779797085, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Yakutia\", \"Turkey\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 87 |
+
{"perplexity": 27.43362908091311, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"PS5\", \"XBox\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 88 |
+
{"perplexity": 24.193697564641273, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Monet\", \"Manet\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 89 |
+
{"perplexity": 22.60600844017237, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Glastonbury\", \"Roskilde\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 90 |
+
{"perplexity": 22.97507790163158, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Telugu\", \"Tamil\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 91 |
+
{"perplexity": 22.74956773183544, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Batman\", \"Superman\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 92 |
+
{"perplexity": 24.858161422496522, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"cannoli\", \"canneloni\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 93 |
+
{"perplexity": 24.924962281724532, "input": "Answer the question by yes or no. We know that [\"Ligue 1\", \"Bundesliga\"] are examples of examples of entities that are similar. Are [\"Gerald Ford\", \"Duran Duran\"] examples of entities that are similar as well?\n yes", "output": ""}
|
experiments/results/lm_qa_1shots_2seed/davinci/ppl.competitor__rival_of.jsonl
ADDED
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|
| 1 |
+
{"perplexity": 25.637988541269973, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Jeremy Corbyn\", \"Keir Starmer\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 2 |
+
{"perplexity": 43.74121627389274, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"EuroBasket 2022\", \"Murad III\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 3 |
+
{"perplexity": 23.815300274589816, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Bugatti\", \"Lamborghini\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 4 |
+
{"perplexity": 25.821889963991175, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Apple\", \"Microsoft\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 5 |
+
{"perplexity": 25.491812632790026, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Lee Chong Wei\", \"Lin Dan\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 6 |
+
{"perplexity": 26.21401083309448, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Microsoft\", \"Google\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 7 |
+
{"perplexity": 35.200957277473066, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Samsung\", \"Pitbull\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 8 |
+
{"perplexity": 18.295559067894644, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Cristiano Ronaldo\", \"Lionel Messi\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 9 |
+
{"perplexity": 23.685544275513916, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Germany\", \"Austria\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 10 |
+
{"perplexity": 32.88941253670093, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Dyson\", \"Dualit\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 11 |
+
{"perplexity": 33.403740576041244, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Netflix\", \"Disney Plus\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 12 |
+
{"perplexity": 25.205806034120645, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"PyTorch\", \"TensorFlow\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 13 |
+
{"perplexity": 26.241613091179616, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Dell\", \"HP\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 14 |
+
{"perplexity": 27.79519199975568, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Sanpellegrino\", \"Volvic\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 15 |
+
{"perplexity": 23.579308526236325, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Mikhail Khodorkovsky\", \"Hezbollah\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 16 |
+
{"perplexity": 24.740652494996183, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"British Airways\", \"Aer Lingus\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 17 |
+
{"perplexity": 30.634028352164, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Microsoft Teams\", \"Slack\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 18 |
+
{"perplexity": 25.053538589497265, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Federal Reserve Board\", \"Bank of England\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 19 |
+
{"perplexity": 32.5051063375184, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"American Psycho\", \"Chihuahua\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 20 |
+
{"perplexity": 31.751276138638453, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Mars\", \"Snickers\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 21 |
+
{"perplexity": 30.73971112547244, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"ASML\", \"LAM Research\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 22 |
+
{"perplexity": 35.88223511431684, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Jake Paul\", \"Tangled\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 23 |
+
{"perplexity": 20.445117250398933, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Nikhita Khrushchev\", \"Leonid Brezhnev\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 24 |
+
{"perplexity": 28.994484767046043, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Razer\", \"Dell\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 25 |
+
{"perplexity": 28.374150312446194, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Spotify\", \"Apple\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 26 |
+
{"perplexity": 30.845416844564813, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Kourtney Kardashian\", \"Jenna Fischer\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 27 |
+
{"perplexity": 26.759387826270412, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Twitter\", \"WhatsApp\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 28 |
+
{"perplexity": 25.94862758691176, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Manchester United\", \"Arsenal\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 29 |
+
{"perplexity": 26.89640370544479, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"WeChat\", \"WhatsApp\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 30 |
+
{"perplexity": 23.41121605816603, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Saudi Arabia\", \"Israel\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 31 |
+
{"perplexity": 22.661096452223045, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Bashar al-Assad\", \"Christianity\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 32 |
+
{"perplexity": 29.466009626541876, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Didier Deschamps\", \"Scott Adkins\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 33 |
+
{"perplexity": 20.511823297030222, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Lionel Messi\", \"Kylian Mbapp\u00e9\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 34 |
+
{"perplexity": 43.920451467718664, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Louis Philippe\", \"Peter England\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 35 |
+
{"perplexity": 36.18486917869276, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Steve Jobs\", \"Atlanta\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 36 |
+
{"perplexity": 28.602826525021033, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Bella Hadid\", \"Choi Woo-shik\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 37 |
+
{"perplexity": 32.235705350307654, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Mali\", \"Frances McDormand\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 38 |
+
{"perplexity": 20.628401276575097, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Coca-Cola Company\", \"Pepsi\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 39 |
+
{"perplexity": 18.14401248559143, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Khabib Nurmagomedov\", \"Conor McGregor\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 40 |
+
{"perplexity": 26.838990771658256, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Twitter\", \"Facebook\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 41 |
+
{"perplexity": 22.92451283825674, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Cardiff University\", \"Swansea University\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 42 |
+
{"perplexity": 18.773251231056744, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Isaac Newton\", \"Gottfried Leibniz\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 43 |
+
{"perplexity": 28.861910799146905, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Casio\", \"Texas Instruments\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 44 |
+
{"perplexity": 23.913470324778306, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Arsenal\", \"Tottenham Hotspur\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 45 |
+
{"perplexity": 29.189094650402716, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Nintendo\", \"Xbox\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 46 |
+
{"perplexity": 28.14894406137176, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"H&M\", \"Zalora\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 47 |
+
{"perplexity": 23.846508569302074, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Serena Williams\", \"Andy Murray\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 48 |
+
{"perplexity": 25.164031925712433, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Liverpool FC\", \"Manchester United\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 49 |
+
{"perplexity": 26.39025135704161, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Apple\", \"Samsung\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 50 |
+
{"perplexity": 24.025741866582877, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Expedia\", \"Trivago\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 51 |
+
{"perplexity": 19.297841932580535, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Heathrow Airport\", \"Gatwick Airport\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 52 |
+
{"perplexity": 26.103895155617355, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Mario\", \"Bowser\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 53 |
+
{"perplexity": 24.661602796053792, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"US\", \"China\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 54 |
+
{"perplexity": 21.60113744580105, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Olympic Games\", \"Helicobacter pylori\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 55 |
+
{"perplexity": 21.95108512819028, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"BMW\", \"Mercedes-Benz\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 56 |
+
{"perplexity": 25.763473704151245, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Blur\", \"Oasis\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 57 |
+
{"perplexity": 21.084649548058504, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Israel\", \"Palestine\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 58 |
+
{"perplexity": 27.87806664536784, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Toshiba\", \"LG\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 59 |
+
{"perplexity": 31.58588888620816, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Apple\", \"Rolex\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 60 |
+
{"perplexity": 31.378276224481656, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Tesla\", \"Skoda\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 61 |
+
{"perplexity": 25.777208290753794, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Thomas Jefferson\", \"Alexander Hamilton\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 62 |
+
{"perplexity": 25.92441837361213, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Chester FC\", \"Wrexham FC\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 63 |
+
{"perplexity": 30.91489902281887, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Line of Duty\", \"CSI\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 64 |
+
{"perplexity": 30.1843933404096, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Gladiator\", \"Imelda Staunton\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 65 |
+
{"perplexity": 25.203595403664348, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"UK\", \"France\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 66 |
+
{"perplexity": 23.87485245832049, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Nike\", \"Adidas\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 67 |
+
{"perplexity": 19.881694870647113, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Alain Prost\", \"Ayrton Senna\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 68 |
+
{"perplexity": 24.635161091827282, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Manchester City\", \"Manchester United\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 69 |
+
{"perplexity": 27.76637548476439, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"BBC\", \"The Guardian\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 70 |
+
{"perplexity": 25.75721874962224, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Amazon\", \"Ebay\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 71 |
+
{"perplexity": 24.975173711374854, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Sir Alex Ferguson\", \"Jose Mourinho\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 72 |
+
{"perplexity": 33.760910829141594, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"ASEAN\", \"Helen Hunt\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 73 |
+
{"perplexity": 25.59440584848114, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Hans Zimmer\", \"John Williams\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 74 |
+
{"perplexity": 29.181159044707318, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Noel Gallagher\", \"Liam Gallaguer\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 75 |
+
{"perplexity": 19.962249822752334, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"McDonald's\", \"Burger King\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 76 |
+
{"perplexity": 23.254570977530673, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Neoclassicism\", \"Romanticism\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 77 |
+
{"perplexity": 43.09152853419771, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Royal Feast\", \"Fast X\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 78 |
+
{"perplexity": 31.075626124929848, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Eminem\", \"MGK\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 79 |
+
{"perplexity": 26.745215081758584, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Sprite\", \"7 Up\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 80 |
+
{"perplexity": 27.68411964919684, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Katharine Hepburn\", \"Abrahamic religion\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 81 |
+
{"perplexity": 20.676082303508565, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Martin Luther King Jr.\", \"Malcolm X\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 82 |
+
{"perplexity": 33.06375907080269, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Ligue 1\", \"Hayley Atwell\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 83 |
+
{"perplexity": 36.30678461415155, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Vikram\", \"Coen brothers\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 84 |
+
{"perplexity": 24.165329282606102, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Russia\", \"China\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 85 |
+
{"perplexity": 29.326037846610234, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Mohamed Salah\", \"Korea\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 86 |
+
{"perplexity": 33.623441135075325, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Kingston\", \"Samsung\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 87 |
+
{"perplexity": 27.823460665544975, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"AWS\", \"GCP\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 88 |
+
{"perplexity": 22.589936869869128, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"Beatles\", \"Rolling Stones\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 89 |
+
{"perplexity": 28.508616600913125, "input": "Answer the question by yes or no. We know that [\"Israel\", \"Palestine\"] are examples of entities that are competitors or rivals. Are [\"John Tyler\", \"Whig Party\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
experiments/results/lm_qa_1shots_2seed/davinci/ppl.friend__ally_of.jsonl
ADDED
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| 1 |
+
{"perplexity": 21.654853621146824, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Rishi Sunak\", \"Leo Varadkar\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 2 |
+
{"perplexity": 23.2645672193113, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Gondor\", \"Rohan\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 3 |
+
{"perplexity": 22.163940814767614, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"FIFA\", \"UEFA\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 4 |
+
{"perplexity": 17.897418098834137, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Joseph Stalin\", \"Josip Broz Tito\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 5 |
+
{"perplexity": 19.96987428865505, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Hillary Clinton\", \"Barack Obama\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 6 |
+
{"perplexity": 21.596677563944304, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Di Maio\", \"Salvini\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 7 |
+
{"perplexity": 24.503185063219888, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Yahoo\", \"Yahoo Japan\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 8 |
+
{"perplexity": 18.102136552988945, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Armenia\", \"Azerbaijan\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 9 |
+
{"perplexity": 29.279906639367, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Doja Cat\", \"Anthony Albanese\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 10 |
+
{"perplexity": 15.459093471950732, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Pedro S\u00e1nchez\", \"Pablo Iglesias\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 11 |
+
{"perplexity": 26.5792726032768, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Islamic State\", \"Denys Prokopenko\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 12 |
+
{"perplexity": 24.481472026247822, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Brazil\", \"India\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 13 |
+
{"perplexity": 14.86509749270578, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Extinction Rebellion\", \"Greta Thunberg\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 14 |
+
{"perplexity": 23.318198825585885, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Sicily\", \"Calabria\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 15 |
+
{"perplexity": 26.154501364167896, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Oman\", \"Iran\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 16 |
+
{"perplexity": 29.01990840704521, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Sony\", \"ZEISS\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 17 |
+
{"perplexity": 35.65558014845659, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"FTX\", \"Alameda Research\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 18 |
+
{"perplexity": 25.14048802438481, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"UK\", \"Commonwealth\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 19 |
+
{"perplexity": 22.214722826682483, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Australia\", \"New Zealand\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 20 |
+
{"perplexity": 21.786368231068668, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Kylo Ren\", \"Rey\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 21 |
+
{"perplexity": 24.604034320309253, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Anne Boleyn\", \"Columbia Pictures\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 22 |
+
{"perplexity": 25.309508599455555, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"KGB\", \"CIA\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 23 |
+
{"perplexity": 25.79979656061729, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Rishi Sunak\", \"Joe Biden\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 24 |
+
{"perplexity": 20.124515124851193, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Quentin Tarantino\", \"Edgar Wright\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 25 |
+
{"perplexity": 19.51735520004956, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Keir Starmer\", \"Jeremy Corbyn\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 26 |
+
{"perplexity": 19.2189839204862, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"U.S.S.R.\", \"East Germany\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 27 |
+
{"perplexity": 20.286107168396082, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Harry Potter\", \"Severus Snape\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 28 |
+
{"perplexity": 20.979883742532735, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Tata Motors\", \"Jaguar\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 29 |
+
{"perplexity": 27.565678980275276, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Kendall Jenner\", \"Bergen\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 30 |
+
{"perplexity": 26.82855624553304, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Thomas Jefferson\", \"Kid Cudi\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 31 |
+
{"perplexity": 23.77515283211869, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"South Korea\", \"Japan\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 32 |
+
{"perplexity": 22.964423017168755, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Spain\", \"Portugal\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 33 |
+
{"perplexity": 20.410452522660975, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Liam Gallagher\", \"Noel Gallagher\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 34 |
+
{"perplexity": 21.102753040553758, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"France\", \"Belgium\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 35 |
+
{"perplexity": 21.983252100932326, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Turkish Airlines\", \"All Nippon Airways\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 36 |
+
{"perplexity": 20.92135756216898, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Malaysia\", \"Singapore\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 37 |
+
{"perplexity": 23.91258421044542, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"JP Morgan\", \"Morgan Stanley\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 38 |
+
{"perplexity": 19.85744958065311, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Sophia Loren\", \"Marlon Brando\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 39 |
+
{"perplexity": 15.64270913490103, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"J.R.R. Tolkien\", \"C.S. Lewis\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 40 |
+
{"perplexity": 23.218983216843178, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"China\", \"North Korea\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 41 |
+
{"perplexity": 19.81199382109581, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Margaret Thatcher\", \"Ronald Reagan\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 42 |
+
{"perplexity": 25.738342398723802, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Eva Per\u00f3n\", \"Interpol\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 43 |
+
{"perplexity": 24.886871741337977, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"UK\", \"Ireland\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 44 |
+
{"perplexity": 25.414086349498874, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Singapore\", \"Israel\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 45 |
+
{"perplexity": 20.350675719205157, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Eastern Orthodoxy\", \"Oriental Orthodoxy\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 46 |
+
{"perplexity": 25.145517297815942, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"India\", \"US\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 47 |
+
{"perplexity": 23.698525089297153, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Ed Gein\", \"Colonel Sanders\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 48 |
+
{"perplexity": 21.339507519117777, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Beatles\", \"Rolling Stones\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 49 |
+
{"perplexity": 24.135273777353266, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Red Bull\", \"GoPro\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 50 |
+
{"perplexity": 23.868338857089817, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"HSBC\", \"BlackRock\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 51 |
+
{"perplexity": 25.277135624016978, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Elsa\", \"Anna\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 52 |
+
{"perplexity": 22.9524894805109, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Macbeth\", \"Banquo\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 53 |
+
{"perplexity": 25.438487350752922, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Aznar\", \"Bush\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 54 |
+
{"perplexity": 25.076603765169953, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Google\", \"Samsung\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 55 |
+
{"perplexity": 22.16895633670394, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"IMF\", \"The World Bank\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 56 |
+
{"perplexity": 25.42241896149398, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Nikon\", \"Tokina\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 57 |
+
{"perplexity": 21.641592432198486, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Walter White\", \"Gus Fring\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 58 |
+
{"perplexity": 21.927792921427272, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Ron Weasley\", \"Neville Longbottom\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 59 |
+
{"perplexity": 17.939186449362317, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Darth Vader\", \"Emperor Palpatine\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 60 |
+
{"perplexity": 19.079442500041406, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Coca-Cola\", \"McDonald's\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 61 |
+
{"perplexity": 21.613287785576443, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Instagram\", \"WhatsApp\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 62 |
+
{"perplexity": 20.87864618206227, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Noah Schnapp\", \"Galatasaray S.K.\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 63 |
+
{"perplexity": 24.553929951586408, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"US\", \"Canada\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 64 |
+
{"perplexity": 22.289260447342592, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Bob Marley\", \"Abu Bakr\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 65 |
+
{"perplexity": 23.928855988245658, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Jeff Bezos\", \"GitHub\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 66 |
+
{"perplexity": 25.55948067526935, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Hong Kong\", \"HSBC\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 67 |
+
{"perplexity": 20.883470961368122, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"United States\", \"United Kingdom\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 68 |
+
{"perplexity": 20.576492160050535, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Porter Wagoner\", \"Dolly Parton\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 69 |
+
{"perplexity": 27.70181674025314, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Achilles\", \"Jonathan Bailey\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 70 |
+
{"perplexity": 24.498552508457323, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Linus Sebastian\", \"Marques Brownlee\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 71 |
+
{"perplexity": 21.383167712601516, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Catherine Zeta-Jones\", \"Johnny Knoxville\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 72 |
+
{"perplexity": 24.716047923498692, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Amazon\", \"Royal Mail\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 73 |
+
{"perplexity": 22.68495347288228, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"The Beatles\", \"Queen\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 74 |
+
{"perplexity": 21.98396343338124, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Benedict Cumberbatch\", \"Hanukkah\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 75 |
+
{"perplexity": 24.135467178593096, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Huawei\", \"China\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 76 |
+
{"perplexity": 23.543568720650594, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Rishi Sunak\", \"Emmanuel Macron\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 77 |
+
{"perplexity": 26.607773504913887, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Microsoft\", \"LinkedIn\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 78 |
+
{"perplexity": 26.54573380806698, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Paul Rudd\", \"Memento\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 79 |
+
{"perplexity": 26.546330563153884, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Russia\", \"Georgia\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 80 |
+
{"perplexity": 22.982806776808626, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Germany\", \"France\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 81 |
+
{"perplexity": 21.91489225448472, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Stephen Hawking\", \"Brian Cox\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 82 |
+
{"perplexity": 17.602781483980877, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Jean-Michel Basquiat\", \"Andy Warhol\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 83 |
+
{"perplexity": 24.00272310988075, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Mark Drakeford\", \"Rishi Sunak\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 84 |
+
{"perplexity": 26.717108390904734, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"J\u00fcrgen Klopp\", \"Exo\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 85 |
+
{"perplexity": 27.38452645375013, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Windows\", \"Xbox\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 86 |
+
{"perplexity": 27.339043151996016, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Saturn\", \"Rachel Bilson\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 87 |
+
{"perplexity": 24.873727063836263, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Ottoman Empire\", \"Snowpiercer\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 88 |
+
{"perplexity": 22.270675108109614, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Johnny Cash\", \"Waylon Jennings\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 89 |
+
{"perplexity": 23.99448423807974, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"UN\", \"NATO\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 90 |
+
{"perplexity": 19.29620042860604, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Boris Johnson\", \"Emmanuel Macron\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 91 |
+
{"perplexity": 18.537661077283385, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Cersei Lannister\", \"Euron Greyjoy\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 92 |
+
{"perplexity": 23.88703734331735, "input": "Answer the question by yes or no. We know that [\"Extinction Rebellion\", \"Greta Thunberg\"] are examples of entities that are friends or allies. Are [\"Japan\", \"Taiwan\"] entities that are friends or allies as well?\n yes", "output": ""}
|
experiments/results/lm_qa_1shots_2seed/davinci/ppl.influenced_by.jsonl
ADDED
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| 1 |
+
{"perplexity": 53.17314402532638, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Prince Harry\", \"Monarchy\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 2 |
+
{"perplexity": 54.60971585473623, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"F1\", \"social media\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 3 |
+
{"perplexity": 34.87799730896703, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Elton John\", \"Elvis Presley\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 4 |
+
{"perplexity": 48.257406301363595, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Jack Black\", \"Waffen-SS\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 5 |
+
{"perplexity": 32.10626213870308, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Game of Thrones\", \"Lord of the Rings\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 6 |
+
{"perplexity": 40.97794103550028, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Canon\", \"Nikon\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 7 |
+
{"perplexity": 41.41394031353578, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Thomas Aquinas\", \"Aristotle\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 8 |
+
{"perplexity": 45.67775538355439, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Android\", \"iOS\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 9 |
+
{"perplexity": 55.716233893375836, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Charles Baudelaire\", \"Tornado MRCA\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 10 |
+
{"perplexity": 51.7078838820153, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"trending music\", \"TikTok\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 11 |
+
{"perplexity": 42.04361958119324, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Xi Jinping\", \"Kim Jong-il\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 12 |
+
{"perplexity": 43.35402795308313, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Beethoven\", \"romanticism\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 13 |
+
{"perplexity": 38.750561098113295, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Edgar Allan Poe\", \"Romanticism\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 14 |
+
{"perplexity": 52.07810820569524, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"US\", \"NASA\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 15 |
+
{"perplexity": 49.177596233829675, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Wales\", \"Westminster\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 16 |
+
{"perplexity": 48.97853205009946, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Sierra Leone\", \"Pulp fiction\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 17 |
+
{"perplexity": 33.73280644413223, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Ethereum\", \"Bitcoin\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 18 |
+
{"perplexity": 42.624174485199546, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Theresa May\", \"David Cameron\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 19 |
+
{"perplexity": 48.19180003946238, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Anna Delvey\", \"Bernie Madoff\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 20 |
+
{"perplexity": 36.73864003836746, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Lord of the Rings\", \"Beowulf\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 21 |
+
{"perplexity": 44.05087713024442, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Andrew Johnson\", \"Abraham Lincoln\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 22 |
+
{"perplexity": 47.32653596704302, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"LinkedIn\", \"Facebook\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 23 |
+
{"perplexity": 40.788823812075535, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Picasso\", \"Cezanne\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 24 |
+
{"perplexity": 44.63621302253959, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Playstation\", \"Xbox\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 25 |
+
{"perplexity": 50.70364356229247, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Kevin Spacey\", \"Tenerife\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 26 |
+
{"perplexity": 46.283705405781085, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Saudi Arabia\", \"US\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 27 |
+
{"perplexity": 46.75542515854349, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Fitbit\", \"heart rate monitor\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 28 |
+
{"perplexity": 44.27842121067815, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Taiwan\", \"China\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 29 |
+
{"perplexity": 29.536748605578882, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Kylian Mbappe\", \"Cristiano Ronaldo\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 30 |
+
{"perplexity": 44.020587266581614, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Picasso\", \"cubism\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 31 |
+
{"perplexity": 43.481949705213395, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Miley Cyrus\", \"Lorde\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 32 |
+
{"perplexity": 35.22720198267243, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Neymar\", \"Alexis S\u00e1nchez\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 33 |
+
{"perplexity": 43.33149180628337, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Smashing Pumpkins\", \"Beatles\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 34 |
+
{"perplexity": 51.37289478704814, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Portuguese\", \"The Prestige\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 35 |
+
{"perplexity": 55.10956104200028, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Luke Evans\", \"Ava Gardner\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 36 |
+
{"perplexity": 45.15714512493937, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"MacOS\", \"Linux\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 37 |
+
{"perplexity": 51.75775490246719, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Transport for Wales\", \"National Rail\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 38 |
+
{"perplexity": 40.51265228635972, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Herbie Hancock\", \"Miles Davis\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 39 |
+
{"perplexity": 47.19102667867133, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"India\", \"Hinduism\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 40 |
+
{"perplexity": 46.01681364529802, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"hip hop\", \"jazz\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 41 |
+
{"perplexity": 40.037934001902755, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Bob Dylan\", \"Woody Guthrie\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 42 |
+
{"perplexity": 52.767050770319216, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Tim Burton\", \"German expressionism\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 43 |
+
{"perplexity": 39.35959326405254, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Eamon de Valera\", \"James Napper Tandy\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 44 |
+
{"perplexity": 45.16952872578746, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Joe Biden\", \"Donald Trump\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 45 |
+
{"perplexity": 52.119845837782094, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Shaquille O'Neal\", \"Selim II\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 46 |
+
{"perplexity": 46.790052318729806, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Cobra Kai\", \"Anna Chlumsky\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 47 |
+
{"perplexity": 38.4511832394605, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Harry Potter\", \"Wizard of Oz\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 48 |
+
{"perplexity": 32.7134084482114, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Coca-Cola\", \"Pepsi\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 49 |
+
{"perplexity": 43.624950478657, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Apple Music\", \"Spotify\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 50 |
+
{"perplexity": 40.33283891760277, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Singaporean food\", \"Malaysian food\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 51 |
+
{"perplexity": 50.93387946282273, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Guess\", \"Gucci\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 52 |
+
{"perplexity": 45.07359213739472, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Commonwealth\", \"United Kingdom\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 53 |
+
{"perplexity": 47.28509284465191, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"machine learning\", \"Google\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 54 |
+
{"perplexity": 37.20020773169949, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Antonio Salazar\", \"fascism\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 55 |
+
{"perplexity": 46.05713977579385, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Facebook\", \"LinkedIn\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 56 |
+
{"perplexity": 42.10827941410898, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Hank Williams\", \"Jimmie Rodgers\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 57 |
+
{"perplexity": 73.95827700638311, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"painters\", \"Stable Diffusion\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 58 |
+
{"perplexity": 51.68811394208569, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Walmart\", \"Rivaldo\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 59 |
+
{"perplexity": 43.844984941891035, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Sauron\", \"Shiba Inu\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 60 |
+
{"perplexity": 43.252257656690986, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Bruno Mars\", \"James Brown\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 61 |
+
{"perplexity": 50.21818318729186, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Brazil\", \"Spain\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 62 |
+
{"perplexity": 47.82629263084133, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"heavy metal\", \"punk music\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 63 |
+
{"perplexity": 41.848565228006215, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Moon\", \"G\u00f6bekli Tepe\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 64 |
+
{"perplexity": 51.1845474639497, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"English\", \"William Shakespeare\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 65 |
+
{"perplexity": 45.73743259700916, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Beatles\", \"Alice in Wonderland\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 66 |
+
{"perplexity": 41.190161237518566, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"impressionism\", \"Edouard Manet\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 67 |
+
{"perplexity": 46.75420833978667, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Gilbert Gottfried\", \"Mike Krieger\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 68 |
+
{"perplexity": 45.16429469610089, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Vladimir Lenin\", \"chess\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 69 |
+
{"perplexity": 31.998915927438546, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Pepsi\", \"Coca-Cola\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 70 |
+
{"perplexity": 39.71091774511264, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Alicia Vikander\", \"Richard Attenborough\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 71 |
+
{"perplexity": 51.58934413287083, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Luke Bryan\", \"Hank Williams\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 72 |
+
{"perplexity": 41.295519759741225, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Bill Gates\", \"Steve Jobs\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 73 |
+
{"perplexity": 52.152391243280235, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Allu Arjun\", \"Aaron Ramsey\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 74 |
+
{"perplexity": 53.95109602509753, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Stephen King\", \"Arthur Machen\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 75 |
+
{"perplexity": 42.9652783172551, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Bangladesh\", \"India\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 76 |
+
{"perplexity": 48.98403177984504, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"hamburger\", \"Germany\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 77 |
+
{"perplexity": 41.46041513337118, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Plato\", \"Socrates\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 78 |
+
{"perplexity": 40.34094263763575, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Messi\", \"Maradona\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 79 |
+
{"perplexity": 46.93004094145297, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Oasis\", \"Blur\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 80 |
+
{"perplexity": 36.24246656941355, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Quentin Tarantino\", \"Sergio Leone\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 81 |
+
{"perplexity": 44.37869144957846, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"European Union\", \"Germany\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 82 |
+
{"perplexity": 61.7011977004747, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Stephen Foster\", \"Thomas Moore\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 83 |
+
{"perplexity": 44.58731827479566, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Hoover\", \"Dyson\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 84 |
+
{"perplexity": 42.4971286670573, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Mark Rothko\", \"Claude Monet\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 85 |
+
{"perplexity": 46.04209320357824, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"James Brown\", \"Michael Jackson\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 86 |
+
{"perplexity": 44.66563761548583, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Windows\", \"Linux\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 87 |
+
{"perplexity": 44.45688537476112, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Radiohead\", \"David Bowie\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 88 |
+
{"perplexity": 48.127386903465315, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"NVIDIA\", \"AMD\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 89 |
+
{"perplexity": 46.47709768888569, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"India\", \"Gandhi\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 90 |
+
{"perplexity": 43.3974204927036, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Viktor Yushchenko\", \"Bonnie Wright\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 91 |
+
{"perplexity": 36.04244923375708, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Beethoven\", \"Mozart\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 92 |
+
{"perplexity": 41.38889258071268, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Bitcoin\", \"blockchain\"] what has influenced different entities as well?\n yes", "output": ""}
|
| 93 |
+
{"perplexity": 42.366424074671315, "input": "Answer the question by yes or no. We know that [\"Ethereum\", \"Bitcoin\"] are examples of what has influenced different entities. Are [\"Hong Kong\", \"China\"] what has influenced different entities as well?\n yes", "output": ""}
|
experiments/results/lm_qa_1shots_2seed/davinci/ppl.known_for.jsonl
ADDED
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| 1 |
+
{"perplexity": 23.553471891174826, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Hawaii\", \"ukulele\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 2 |
+
{"perplexity": 17.169214933702516, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Paris\", \"Eiffel Tower\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 3 |
+
{"perplexity": 29.44980447504297, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Sweden\", \"pop\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 4 |
+
{"perplexity": 28.27112835666301, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Memphis Depay\", \"Mendelian inheritance\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 5 |
+
{"perplexity": 25.06056470068584, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"France\", \"beaches\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 6 |
+
{"perplexity": 26.82077395709853, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"France\", \"cars\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 7 |
+
{"perplexity": 24.615198291652266, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Alphabet Inc.\", \"Google\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 8 |
+
{"perplexity": 17.533719367667633, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Vincent Van Gogh\", \"The Starry Night\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 9 |
+
{"perplexity": 25.557416809514656, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Italy\", \"Hawaiian pizza\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 10 |
+
{"perplexity": 31.50613701706342, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Japan\", \"glass product\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 11 |
+
{"perplexity": 28.66375202631582, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"France\", \"rococo movement\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 12 |
+
{"perplexity": 25.706190324861517, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Europe\", \"The Final Countdown\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 13 |
+
{"perplexity": 23.213246327566402, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Sophie Turner\", \"Sylvia Plath\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 14 |
+
{"perplexity": 24.0875655972514, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Bill Nye\", \"scientist\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 15 |
+
{"perplexity": 26.069245609407115, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Mercedes Benz\", \"build quality\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 16 |
+
{"perplexity": 22.591447332572002, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Hawaii\", \"beaches\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 17 |
+
{"perplexity": 23.770348320018584, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Jackson Pollock\", \"action painting\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 18 |
+
{"perplexity": 32.03826154788718, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Andhra Pradesh\", \"Martinique\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 19 |
+
{"perplexity": 21.502635752012132, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Keanu Reeves\", \"The Matrix\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 20 |
+
{"perplexity": 26.02602506215047, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Christopher Columbus\", \"India\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 21 |
+
{"perplexity": 20.25098096580033, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Picasso\", \"Guernica\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 22 |
+
{"perplexity": 22.639522209556496, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Italy\", \"Renaissance\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 23 |
+
{"perplexity": 26.448569563563144, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Korea\", \"Breakdance\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 24 |
+
{"perplexity": 25.05115977943121, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Spain\", \"olive oil\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 25 |
+
{"perplexity": 18.093004874189255, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"C.S. Lewis\", \"The Screwtape Letters\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 26 |
+
{"perplexity": 18.39969649907911, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Corsica\", \"Napoleon Bonaparte\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 27 |
+
{"perplexity": 22.614193564541242, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Rafael Nadal\", \"Ralph Macchio\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 28 |
+
{"perplexity": 25.442760007276693, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Walther P38\", \"Lupin the Third\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 29 |
+
{"perplexity": 32.95177425502762, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Richard Harris\", \"Curcuma longa\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 30 |
+
{"perplexity": 22.412097630040734, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Smashing Pumpkins\", \"Thru the eyes of Ruby\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 31 |
+
{"perplexity": 30.622960800719394, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"India\", \"rum\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 32 |
+
{"perplexity": 28.97673159359238, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Parasite\", \"Jersey\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 33 |
+
{"perplexity": 23.344368878929483, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"India\", \"Gurkhas\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 34 |
+
{"perplexity": 24.063613617237728, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Amazon\", \"Alexa\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 35 |
+
{"perplexity": 24.76767841132924, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Thomas Edison\", \"telephone\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 36 |
+
{"perplexity": 29.756095439848615, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Buffon\", \"PSG\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 37 |
+
{"perplexity": 22.444869468434433, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Alfred Hitchcock\", \"horror\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 38 |
+
{"perplexity": 19.058059317551287, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"William Shakespeare\", \"Romeo and Juliet\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 39 |
+
{"perplexity": 22.424301298104808, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Thomas Edison\", \"light bulb\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 40 |
+
{"perplexity": 28.479394834703506, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Michael Jordan\", \"Tessa Thompson\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 41 |
+
{"perplexity": 19.267444712803513, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Inglourious Basterds\", \"Sergio Busquets\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 42 |
+
{"perplexity": 25.277568160546366, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Boris Johnson\", \"Brexit\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 43 |
+
{"perplexity": 26.488814391351816, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Georgia\", \"Joseph Stalin\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 44 |
+
{"perplexity": 26.48449939753715, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"China\", \"coffee\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 45 |
+
{"perplexity": 38.903296835275604, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"OpenAI\", \"ChatGPT\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 46 |
+
{"perplexity": 23.186627181798073, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Tesco\", \"groceries\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 47 |
+
{"perplexity": 24.862541572071773, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Amazon\", \"cloud computing\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 48 |
+
{"perplexity": 24.807594307680912, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Nvidia\", \"GPUs\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 49 |
+
{"perplexity": 23.384573947169145, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Tony Blair\", \"Iraq War\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 50 |
+
{"perplexity": 25.657348784435484, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Germany\", \"techno music\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 51 |
+
{"perplexity": 24.278317632397524, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Michelangelo\", \"Pop Art\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 52 |
+
{"perplexity": 31.70552794849292, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Gilmore Girls\", \"OpenAI\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 53 |
+
{"perplexity": 28.697309894177224, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Ragnar\u00f6k\", \"Little Boy\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 54 |
+
{"perplexity": 26.64409164324676, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Pizzagate\", \"Hillary Clinton\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 55 |
+
{"perplexity": 23.816814492002425, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"George Orwell\", \"Coming Up for Air\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 56 |
+
{"perplexity": 25.234791485282656, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Italy\", \"wine\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 57 |
+
{"perplexity": 19.20166972439614, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Coca-Cola\", \"Pepsi\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 58 |
+
{"perplexity": 25.697501916214776, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Spotify\", \"Podcasts\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 59 |
+
{"perplexity": 24.860544573472076, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Valencia\", \"paella\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 60 |
+
{"perplexity": 28.743578843758705, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"The Office\", \"IBM\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 61 |
+
{"perplexity": 27.58004879759515, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Romania\", \"Roman Catholicism\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 62 |
+
{"perplexity": 24.82881040808189, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"George Washington\", \"Kiribati\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 63 |
+
{"perplexity": 28.79131057427622, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Charles Bronson\", \"Rory McIlroy\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 64 |
+
{"perplexity": 24.01085410338764, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Belgium\", \"wine\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 65 |
+
{"perplexity": 27.02116879718988, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Luka Modri\u0107\", \"Rottweiler\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 66 |
+
{"perplexity": 21.617900574471015, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Switzerland\", \"mountains\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 67 |
+
{"perplexity": 25.441673125305005, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Assassin's Creed\", \"history\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 68 |
+
{"perplexity": 23.72858753150164, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Red Bull\", \"energy drinks\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 69 |
+
{"perplexity": 22.35929538153232, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Johnny Cash\", \"Ring of Fire\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 70 |
+
{"perplexity": 25.15778970720172, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Microsoft\", \"Xbox\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 71 |
+
{"perplexity": 22.61327880768969, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Canada\", \"maple syrup\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 72 |
+
{"perplexity": 23.36280759677245, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"France\", \"cheese\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 73 |
+
{"perplexity": 25.665599546849457, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"France\", \"beer\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 74 |
+
{"perplexity": 22.308992022343073, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Nintendo\", \"Super Mario Bros.\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 75 |
+
{"perplexity": 26.87893246240501, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"democracy\", \"North Korea\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 76 |
+
{"perplexity": 23.023206803593506, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Apple\", \"iPhone\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 77 |
+
{"perplexity": 22.000099240816354, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Harry Potter\", \"Bloomsbury\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 78 |
+
{"perplexity": 23.287645756739174, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"France\", \"mountains\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 79 |
+
{"perplexity": 27.166847305110977, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"UK\", \"rain\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 80 |
+
{"perplexity": 23.443007629027964, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Matt Damon\", \"Ocean's Eleven\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 81 |
+
{"perplexity": 23.41730190956649, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Switzerland\", \"banking secrecy\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 82 |
+
{"perplexity": 22.455021798856766, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Adidas\", \"Yeezy Boost\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 83 |
+
{"perplexity": 22.95854280969958, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Portugal\", \"Fado\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 84 |
+
{"perplexity": 26.442846686186346, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Italy\", \"tea\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 85 |
+
{"perplexity": 25.42901229113812, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Beatles\", \"Come Together\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 86 |
+
{"perplexity": 22.334044073431993, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Afro-Brazilians\", \"Capoeira\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 87 |
+
{"perplexity": 24.17528825877155, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Steve Jobs\", \"AirPods\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 88 |
+
{"perplexity": 23.61026767712005, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Apple\", \"Apple Watch\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 89 |
+
{"perplexity": 26.981797426175895, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Frank Abagnale Jr\", \"doctor\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 90 |
+
{"perplexity": 33.07583216354318, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Meta\", \"Instagram\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 91 |
+
{"perplexity": 18.499606484753418, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Jeff Goldblum\", \"Jurassic Park\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 92 |
+
{"perplexity": 18.281457432392326, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Leonardo Da Vinci\", \"Mona Lisa\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 93 |
+
{"perplexity": 25.87236322134527, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Neil Armstrong\", \"Korean War\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 94 |
+
{"perplexity": 21.79419530687051, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"France\", \"baguette\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 95 |
+
{"perplexity": 20.458555062135275, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Queen\", \"Bohemian Rhapsody\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 96 |
+
{"perplexity": 23.628608749978763, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Pixar\", \"Novosibirsk\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 97 |
+
{"perplexity": 21.61647629576861, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Greggs\", \"sausage rolls\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 98 |
+
{"perplexity": 25.314397868169102, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Japan\", \"sake\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 99 |
+
{"perplexity": 26.11617076199898, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"IKEA\", \"food\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 100 |
+
{"perplexity": 27.38608767919894, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"William Grant & Sons\", \"gin\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 101 |
+
{"perplexity": 20.992502004385457, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Netherlands\", \"tulips\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 102 |
+
{"perplexity": 29.669889501539988, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"LAMY\", \"notebook\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 103 |
+
{"perplexity": 22.20259931705773, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Harvey Weinstein\", \"Miramax\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 104 |
+
{"perplexity": 24.843282505776333, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Scotland\", \"whisky\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 105 |
+
{"perplexity": 23.1538033357712, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Apple\", \"MacBook\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 106 |
+
{"perplexity": 23.0176273449964, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Steve Jobs\", \"Apple\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 107 |
+
{"perplexity": 25.965782862240662, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Beatles\", \"I Me Mine\"] examples of what entities are known for as well?\n yes", "output": ""}
|
| 108 |
+
{"perplexity": 22.570435232307386, "input": "Answer the question by yes or no. We know that [\"Paris\", \"Eiffel Tower\"] are examples of examples of what entities are known for. Are [\"Google\", \"search engine\"] examples of what entities are known for as well?\n yes", "output": ""}
|
experiments/results/lm_qa_1shots_2seed/davinci/ppl.similar_to.jsonl
ADDED
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| 1 |
+
{"perplexity": 27.39438006140588, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"pill\", \"tablet\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 2 |
+
{"perplexity": 20.136209341748028, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Eduardo Saverin\", \"Guinea-Bissau\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 3 |
+
{"perplexity": 25.163743180932585, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Dionysus\", \"Toyota Corolla\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 4 |
+
{"perplexity": 25.41508357516993, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Great Britian\", \"British Empire\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 5 |
+
{"perplexity": 27.285634435611534, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"English\", \"Persian\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 6 |
+
{"perplexity": 24.451896827170675, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Chess\", \"Rubik's Cube\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 7 |
+
{"perplexity": 22.96433409327873, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Star Wars\", \"Star Trek\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 8 |
+
{"perplexity": 29.78320770638656, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Anne Heche\", \"Ponzi scheme\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 9 |
+
{"perplexity": 35.40597754789859, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Chris Pine\", \"Good Friday\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 10 |
+
{"perplexity": 25.028411440665305, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Sudocrem\", \"Germolene\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 11 |
+
{"perplexity": 19.574988247782958, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Yugoslavia\", \"Albania\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 12 |
+
{"perplexity": 22.650941556620243, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Beatles\", \"Rolling Stones\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 13 |
+
{"perplexity": 24.816396986613846, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"decision tree\", \"neural network\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 14 |
+
{"perplexity": 27.566966766870614, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Suits\", \"Law & Order\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 15 |
+
{"perplexity": 30.929670519636733, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Titanic\", \"Superbad\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 16 |
+
{"perplexity": 20.900560621490502, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Seleucid Empire\", \"Macedonian Empire\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 17 |
+
{"perplexity": 29.934953402875266, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Doctor Who\", \"Timeless\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 18 |
+
{"perplexity": 29.180323139339745, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Srebrenica massacre\", \"Rock Hudson\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 19 |
+
{"perplexity": 25.277881895268454, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Arnold Classic\", \"Mr. Olympia\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 20 |
+
{"perplexity": 27.615938366892024, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Italy\", \"Superman\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 21 |
+
{"perplexity": 27.361806414591662, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Alibaba\", \"Amazon\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 22 |
+
{"perplexity": 24.474788214273854, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Indiana Jones\", \"Star Wars\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 23 |
+
{"perplexity": 33.0504997767009, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"NQ64\", \"Wetherspoons\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 24 |
+
{"perplexity": 24.237476604107496, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Pepsi\", \"Fanta\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 25 |
+
{"perplexity": 26.30913608844203, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Homebase\", \"IKEA\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 26 |
+
{"perplexity": 29.298951115504213, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"ramen\", \"udon\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 27 |
+
{"perplexity": 22.106293475253146, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"England\", \"Wales\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 28 |
+
{"perplexity": 21.98713289264784, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"sphinx\", \"sphynx\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 29 |
+
{"perplexity": 23.402466412259745, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"iPod\", \"iPad\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 30 |
+
{"perplexity": 22.910251631821726, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Olympic Games\", \"X Games\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 31 |
+
{"perplexity": 19.856369813116306, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"McDonald's\", \"Burger King\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 32 |
+
{"perplexity": 25.487947132535876, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Minnesota\", \"Wisconsin\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 33 |
+
{"perplexity": 27.054697879393647, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Slack\", \"Microsoft Teams\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 34 |
+
{"perplexity": 30.657906954392654, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Peter Phillips\", \"Christine Baranski\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 35 |
+
{"perplexity": 27.829910807249068, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Jenna Ortega\", \"Anglo-Saxons\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 36 |
+
{"perplexity": 39.02690262483859, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Karl Urban\", \"France 24\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 37 |
+
{"perplexity": 21.49356948705466, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Sudan\", \"South Sudan\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 38 |
+
{"perplexity": 27.679837224342013, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Gameboy\", \"Nintendo\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 39 |
+
{"perplexity": 26.79934037605121, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Grammy Award\", \"Novel Prize\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 40 |
+
{"perplexity": 33.228532731801415, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"George Ezra\", \"Lead Belly\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 41 |
+
{"perplexity": 22.27983029052765, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Cardiff\", \"Swansea\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 42 |
+
{"perplexity": 24.426311292801188, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Steve Jobs\", \"Tim Cook\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 43 |
+
{"perplexity": 25.92694982151962, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Counter Strike\", \"Rainbow Six\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 44 |
+
{"perplexity": 22.099867327696646, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Hawaii\", \"Guam\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 45 |
+
{"perplexity": 22.933829232110913, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Scrabble\", \"Jenga\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 46 |
+
{"perplexity": 23.512934662814736, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Christmas\", \"Easter\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 47 |
+
{"perplexity": 26.90431215545828, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"fusilli\", \"rotini\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 48 |
+
{"perplexity": 24.938552776757938, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Coachella\", \"Woodstock\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 49 |
+
{"perplexity": 28.906253664644556, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Avatar\", \"Archimedes\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 50 |
+
{"perplexity": 30.588459964941947, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Shark\", \"Bush\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 51 |
+
{"perplexity": 33.607836437589405, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Eva Braun\", \"Phil Jackson\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 52 |
+
{"perplexity": 19.428167013257614, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Coca-Cola\", \"Pepsi\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 53 |
+
{"perplexity": 32.07374152175864, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Joe Burrow\", \"Edward Scissorhands\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 54 |
+
{"perplexity": 18.965079904462964, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Australia\", \"New Zealand\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 55 |
+
{"perplexity": 24.107939569329954, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Edward I\", \"William the Conqueror\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 56 |
+
{"perplexity": 23.74935962364149, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Frank Sinatra\", \"Ella Fitzgerald\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 57 |
+
{"perplexity": 25.114223949594894, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"New York\", \"York\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 58 |
+
{"perplexity": 22.98590053575379, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Uzbekistan\", \"United States\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 59 |
+
{"perplexity": 25.080271578947375, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Red Bull\", \"Monster Energy\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 60 |
+
{"perplexity": 22.25725010472257, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Champions League\", \"Europa League\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 61 |
+
{"perplexity": 27.40100970127416, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Cerave\", \"Nivea\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 62 |
+
{"perplexity": 30.817471678460716, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Galaxy\", \"iPhone\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 63 |
+
{"perplexity": 29.289282248832052, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Mehmet \u00d6z\", \"David Schwimmer\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 64 |
+
{"perplexity": 23.805596740489577, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Disney\", \"Pixar\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 65 |
+
{"perplexity": 25.683057507813764, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Batman\", \"Iron Man\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 66 |
+
{"perplexity": 21.55793131104787, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Gisele B\u00fcndchen\", \"Orson Welles\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 67 |
+
{"perplexity": 20.897135256543574, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Estonia\", \"Finland\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 68 |
+
{"perplexity": 24.727413387792083, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"The Avengers\", \"The Justice League\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 69 |
+
{"perplexity": 17.20830190239016, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Nicolae Ceau\u0219escu\", \"Javier Hern\u00e1ndez\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 70 |
+
{"perplexity": 23.191815516954957, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Adidas\", \"Nike\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 71 |
+
{"perplexity": 25.021821479992234, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Java\", \"Javascript\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 72 |
+
{"perplexity": 26.501333570404856, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"bourbon\", \"Scotch whisky\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 73 |
+
{"perplexity": 22.81851685834982, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Alaska\", \"Canada\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 74 |
+
{"perplexity": 23.44737572022005, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Spain\", \"Italy\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 75 |
+
{"perplexity": 24.883914930389796, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"banana\", \"plantain\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 76 |
+
{"perplexity": 22.952076705264858, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Firefox\", \"Chrome\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 77 |
+
{"perplexity": 20.326868979188525, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Pecorino Romano\", \"Parmesan\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 78 |
+
{"perplexity": 22.710572216919925, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Ligue 1\", \"Bundesliga\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 79 |
+
{"perplexity": 25.52855495114769, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Netflix\", \"Amazon Prime Video\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 80 |
+
{"perplexity": 31.03818848660441, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Primark\", \"Shein\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 81 |
+
{"perplexity": 25.152001304211815, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Dominos' Pizza\", \"Pizza Hut\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 82 |
+
{"perplexity": 21.645976612594584, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"South Africa\", \"Bhagavad Gita\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 83 |
+
{"perplexity": 22.5645393750501, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Germany\", \"France\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 84 |
+
{"perplexity": 27.863129329413354, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Kindle\", \"Jeff Bezos\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 85 |
+
{"perplexity": 20.56611508323297, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Harry Potter\", \"Lord of the Rings\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 86 |
+
{"perplexity": 24.534730111368052, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Yakutia\", \"Turkey\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 87 |
+
{"perplexity": 29.345172274708702, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"PS5\", \"XBox\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 88 |
+
{"perplexity": 24.641154643890296, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Monet\", \"Manet\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 89 |
+
{"perplexity": 23.665769292275424, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Glastonbury\", \"Roskilde\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 90 |
+
{"perplexity": 25.33286588263696, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Telugu\", \"Tamil\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 91 |
+
{"perplexity": 23.62040912284998, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Batman\", \"Superman\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 92 |
+
{"perplexity": 27.820387061631788, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"cannoli\", \"canneloni\"] examples of entities that are similar as well?\n yes", "output": ""}
|
| 93 |
+
{"perplexity": 26.1831077546109, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"] are examples of examples of entities that are similar. Are [\"Gerald Ford\", \"Duran Duran\"] examples of entities that are similar as well?\n yes", "output": ""}
|
experiments/results/lm_qa_3shots_0seed/davinci/ppl.competitor__rival_of.jsonl
ADDED
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| 1 |
+
{"perplexity": 21.172349484742252, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Jeremy Corbyn\", \"Keir Starmer\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 2 |
+
{"perplexity": 30.9816516473658, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"EuroBasket 2022\", \"Murad III\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 3 |
+
{"perplexity": 19.834328502315348, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Bugatti\", \"Lamborghini\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 4 |
+
{"perplexity": 20.53472753668137, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Apple\", \"Microsoft\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 5 |
+
{"perplexity": 20.91788746580878, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Lee Chong Wei\", \"Lin Dan\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 6 |
+
{"perplexity": 20.89626885756661, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Microsoft\", \"Google\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 7 |
+
{"perplexity": 26.08059670727336, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Samsung\", \"Pitbull\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 8 |
+
{"perplexity": 17.286084160767242, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Cristiano Ronaldo\", \"Lionel Messi\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 9 |
+
{"perplexity": 23.22992752789577, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Germany\", \"Austria\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 10 |
+
{"perplexity": 25.229863887906433, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Dyson\", \"Dualit\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 11 |
+
{"perplexity": 22.96284627759717, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Netflix\", \"Disney Plus\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 12 |
+
{"perplexity": 19.538684726351505, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"PyTorch\", \"TensorFlow\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 13 |
+
{"perplexity": 20.082550940193453, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Dell\", \"HP\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 14 |
+
{"perplexity": 22.59150372492797, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Sanpellegrino\", \"Volvic\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 15 |
+
{"perplexity": 22.281851067753617, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Mikhail Khodorkovsky\", \"Hezbollah\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 16 |
+
{"perplexity": 19.690069359826193, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"British Airways\", \"Aer Lingus\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 17 |
+
{"perplexity": 17.985226809851778, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Microsoft Teams\", \"Slack\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 18 |
+
{"perplexity": 21.853327659129935, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Federal Reserve Board\", \"Bank of England\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 19 |
+
{"perplexity": 24.71015848654266, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"American Psycho\", \"Chihuahua\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 20 |
+
{"perplexity": 21.63693835061147, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Mars\", \"Snickers\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 21 |
+
{"perplexity": 23.366232568841728, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"ASML\", \"LAM Research\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 22 |
+
{"perplexity": 28.12491847487316, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Jake Paul\", \"Tangled\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 23 |
+
{"perplexity": 19.920968676167085, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Nikhita Khrushchev\", \"Leonid Brezhnev\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 24 |
+
{"perplexity": 22.028889478085613, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Razer\", \"Dell\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 25 |
+
{"perplexity": 20.942687507367804, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Spotify\", \"Apple\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 26 |
+
{"perplexity": 25.209718097592738, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Kourtney Kardashian\", \"Jenna Fischer\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 27 |
+
{"perplexity": 19.88353000331122, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Twitter\", \"WhatsApp\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 28 |
+
{"perplexity": 20.784988206709922, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Manchester United\", \"Arsenal\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 29 |
+
{"perplexity": 19.721523589606818, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"WeChat\", \"WhatsApp\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 30 |
+
{"perplexity": 22.97207177631987, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Saudi Arabia\", \"Israel\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 31 |
+
{"perplexity": 22.413268425375932, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Bashar al-Assad\", \"Christianity\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 32 |
+
{"perplexity": 24.058547565450908, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Didier Deschamps\", \"Scott Adkins\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 33 |
+
{"perplexity": 17.276889248522064, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Lionel Messi\", \"Kylian Mbapp\u00e9\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 34 |
+
{"perplexity": 25.519806999392298, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Louis Philippe\", \"Peter England\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 35 |
+
{"perplexity": 27.678966823161236, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Steve Jobs\", \"Atlanta\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 36 |
+
{"perplexity": 23.118905554421133, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Bella Hadid\", \"Choi Woo-shik\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 37 |
+
{"perplexity": 28.333406171959385, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Mali\", \"Frances McDormand\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 38 |
+
{"perplexity": 17.997334345900754, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Coca-Cola Company\", \"Pepsi\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 39 |
+
{"perplexity": 16.389391221401432, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Khabib Nurmagomedov\", \"Conor McGregor\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 40 |
+
{"perplexity": 20.70145468734458, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Twitter\", \"Facebook\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 41 |
+
{"perplexity": 20.705170910555477, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Cardiff University\", \"Swansea University\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 42 |
+
{"perplexity": 17.483289416268796, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Isaac Newton\", \"Gottfried Leibniz\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 43 |
+
{"perplexity": 23.06690766128358, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Casio\", \"Texas Instruments\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 44 |
+
{"perplexity": 19.309336156645227, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Arsenal\", \"Tottenham Hotspur\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 45 |
+
{"perplexity": 22.114355143572634, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Nintendo\", \"Xbox\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 46 |
+
{"perplexity": 21.411658679983045, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"H&M\", \"Zalora\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 47 |
+
{"perplexity": 20.155322830989906, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Serena Williams\", \"Andy Murray\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 48 |
+
{"perplexity": 19.681115483041747, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Liverpool FC\", \"Manchester United\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 49 |
+
{"perplexity": 20.376721813943522, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Apple\", \"Samsung\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 50 |
+
{"perplexity": 20.14615618243851, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Expedia\", \"Trivago\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 51 |
+
{"perplexity": 17.12569543806044, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Heathrow Airport\", \"Gatwick Airport\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 52 |
+
{"perplexity": 21.819264969743134, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Mario\", \"Bowser\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 53 |
+
{"perplexity": 22.42211834143185, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"US\", \"China\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 54 |
+
{"perplexity": 20.864139953571318, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Olympic Games\", \"Helicobacter pylori\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 55 |
+
{"perplexity": 18.31717386523255, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"BMW\", \"Mercedes-Benz\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 56 |
+
{"perplexity": 21.7381526740623, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Blur\", \"Oasis\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 57 |
+
{"perplexity": 22.40842246550346, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Israel\", \"Palestine\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 58 |
+
{"perplexity": 21.209994932933206, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Toshiba\", \"LG\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 59 |
+
{"perplexity": 22.860675801813496, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Apple\", \"Rolex\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 60 |
+
{"perplexity": 23.124194795317454, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Tesla\", \"Skoda\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 61 |
+
{"perplexity": 22.907898826899068, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Thomas Jefferson\", \"Alexander Hamilton\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 62 |
+
{"perplexity": 19.276257483035245, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Chester FC\", \"Wrexham FC\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 63 |
+
{"perplexity": 24.99648237604176, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Line of Duty\", \"CSI\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 64 |
+
{"perplexity": 23.664124642806637, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Gladiator\", \"Imelda Staunton\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 65 |
+
{"perplexity": 22.685454234345926, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"UK\", \"France\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 66 |
+
{"perplexity": 19.049753857565054, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Nike\", \"Adidas\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 67 |
+
{"perplexity": 18.037009675336602, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Alain Prost\", \"Ayrton Senna\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 68 |
+
{"perplexity": 19.598952782508956, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Manchester City\", \"Manchester United\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 69 |
+
{"perplexity": 22.212979866848105, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"BBC\", \"The Guardian\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 70 |
+
{"perplexity": 20.83281670780923, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Amazon\", \"Ebay\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 71 |
+
{"perplexity": 20.161323947356564, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Sir Alex Ferguson\", \"Jose Mourinho\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 72 |
+
{"perplexity": 27.60202049025989, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"ASEAN\", \"Helen Hunt\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 73 |
+
{"perplexity": 20.828676192649805, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Hans Zimmer\", \"John Williams\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 74 |
+
{"perplexity": 23.13681535516185, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Noel Gallagher\", \"Liam Gallaguer\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 75 |
+
{"perplexity": 17.710446782860068, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"McDonald's\", \"Burger King\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 76 |
+
{"perplexity": 21.20408445286754, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Neoclassicism\", \"Romanticism\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 77 |
+
{"perplexity": 32.013282388050655, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Royal Feast\", \"Fast X\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 78 |
+
{"perplexity": 23.020088736027166, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Eminem\", \"MGK\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 79 |
+
{"perplexity": 22.244096563809236, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Sprite\", \"7 Up\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 80 |
+
{"perplexity": 24.484551297913434, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Katharine Hepburn\", \"Abrahamic religion\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 81 |
+
{"perplexity": 19.805386569262712, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Martin Luther King Jr.\", \"Malcolm X\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 82 |
+
{"perplexity": 25.15728953781203, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Ligue 1\", \"Hayley Atwell\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 83 |
+
{"perplexity": 27.22526213180626, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Vikram\", \"Coen brothers\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 84 |
+
{"perplexity": 23.00112518828424, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Russia\", \"China\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 85 |
+
{"perplexity": 24.407521765923605, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Mohamed Salah\", \"Korea\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 86 |
+
{"perplexity": 23.017916604410992, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Kingston\", \"Samsung\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 87 |
+
{"perplexity": 21.220220756898104, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"AWS\", \"GCP\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 88 |
+
{"perplexity": 19.56092972436676, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Beatles\", \"Rolling Stones\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
| 89 |
+
{"perplexity": 24.00772908078196, "input": "Answer the question by yes or no. We know that [\"Liverpool FC\", \"Manchester United\"],[\"Dell\", \"HP\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"John Tyler\", \"Whig Party\"] entities that are competitors or rivals as well?\n yes", "output": ""}
|
experiments/results/lm_qa_3shots_0seed/davinci/ppl.friend__ally_of.jsonl
ADDED
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| 1 |
+
{"perplexity": 23.89741330744439, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Rishi Sunak\", \"Leo Varadkar\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 2 |
+
{"perplexity": 20.637649475409305, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Gondor\", \"Rohan\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 3 |
+
{"perplexity": 20.824002746118033, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"FIFA\", \"UEFA\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 4 |
+
{"perplexity": 18.704957607880033, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Joseph Stalin\", \"Josip Broz Tito\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 5 |
+
{"perplexity": 20.460071552457325, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Hillary Clinton\", \"Barack Obama\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 6 |
+
{"perplexity": 22.775099552492705, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Di Maio\", \"Salvini\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 7 |
+
{"perplexity": 24.72361861553589, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Yahoo\", \"Yahoo Japan\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 8 |
+
{"perplexity": 18.349383762212444, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Armenia\", \"Azerbaijan\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 9 |
+
{"perplexity": 29.74642039572089, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Doja Cat\", \"Anthony Albanese\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 10 |
+
{"perplexity": 17.805632208237117, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Pedro S\u00e1nchez\", \"Pablo Iglesias\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 11 |
+
{"perplexity": 27.95342387049682, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Islamic State\", \"Denys Prokopenko\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 12 |
+
{"perplexity": 24.13144724329303, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Brazil\", \"India\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 13 |
+
{"perplexity": 21.05457254520989, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Extinction Rebellion\", \"Greta Thunberg\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 14 |
+
{"perplexity": 20.77626915269632, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Sicily\", \"Calabria\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 15 |
+
{"perplexity": 24.903371516986656, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Oman\", \"Iran\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 16 |
+
{"perplexity": 26.751697391142507, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Sony\", \"ZEISS\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 17 |
+
{"perplexity": 32.97330496109413, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"FTX\", \"Alameda Research\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 18 |
+
{"perplexity": 23.67524029349847, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"UK\", \"Commonwealth\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 19 |
+
{"perplexity": 21.781129169520067, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Australia\", \"New Zealand\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 20 |
+
{"perplexity": 19.948295968934115, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Kylo Ren\", \"Rey\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 21 |
+
{"perplexity": 23.265259417132135, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Anne Boleyn\", \"Columbia Pictures\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 22 |
+
{"perplexity": 23.275906193225822, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"KGB\", \"CIA\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 23 |
+
{"perplexity": 28.186244197425413, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Rishi Sunak\", \"Joe Biden\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 24 |
+
{"perplexity": 21.23377359425264, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Quentin Tarantino\", \"Edgar Wright\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 25 |
+
{"perplexity": 22.6882273485549, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Keir Starmer\", \"Jeremy Corbyn\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 26 |
+
{"perplexity": 18.648104960226384, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"U.S.S.R.\", \"East Germany\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 27 |
+
{"perplexity": 19.35213494044358, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Harry Potter\", \"Severus Snape\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 28 |
+
{"perplexity": 21.209324955369084, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Tata Motors\", \"Jaguar\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 29 |
+
{"perplexity": 26.662890336936236, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Kendall Jenner\", \"Bergen\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 30 |
+
{"perplexity": 27.425273286433715, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Thomas Jefferson\", \"Kid Cudi\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 31 |
+
{"perplexity": 22.116100026371477, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"South Korea\", \"Japan\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 32 |
+
{"perplexity": 21.53578050296643, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Spain\", \"Portugal\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 33 |
+
{"perplexity": 21.970511268548755, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Liam Gallagher\", \"Noel Gallagher\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 34 |
+
{"perplexity": 21.1063844544505, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"France\", \"Belgium\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 35 |
+
{"perplexity": 21.959539471593956, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Turkish Airlines\", \"All Nippon Airways\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 36 |
+
{"perplexity": 20.103229264748904, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Malaysia\", \"Singapore\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 37 |
+
{"perplexity": 23.082800761979865, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"JP Morgan\", \"Morgan Stanley\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 38 |
+
{"perplexity": 19.351831719013973, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Sophia Loren\", \"Marlon Brando\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 39 |
+
{"perplexity": 15.671965824781616, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"J.R.R. Tolkien\", \"C.S. Lewis\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 40 |
+
{"perplexity": 21.769659757653322, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"China\", \"North Korea\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 41 |
+
{"perplexity": 19.883687782468773, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Margaret Thatcher\", \"Ronald Reagan\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 42 |
+
{"perplexity": 25.96826753558859, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Eva Per\u00f3n\", \"Interpol\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 43 |
+
{"perplexity": 23.696658179645592, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"UK\", \"Ireland\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 44 |
+
{"perplexity": 24.18157273555327, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Singapore\", \"Israel\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 45 |
+
{"perplexity": 21.202287032479497, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Eastern Orthodoxy\", \"Oriental Orthodoxy\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 46 |
+
{"perplexity": 23.900685030227205, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"India\", \"US\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 47 |
+
{"perplexity": 24.330530438507402, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Ed Gein\", \"Colonel Sanders\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 48 |
+
{"perplexity": 21.125633739475962, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Beatles\", \"Rolling Stones\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 49 |
+
{"perplexity": 23.814965724615586, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Red Bull\", \"GoPro\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 50 |
+
{"perplexity": 24.391513862870283, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"HSBC\", \"BlackRock\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 51 |
+
{"perplexity": 22.19171615457875, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Elsa\", \"Anna\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 52 |
+
{"perplexity": 20.58025710609676, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Macbeth\", \"Banquo\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 53 |
+
{"perplexity": 25.520694987786026, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Aznar\", \"Bush\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 54 |
+
{"perplexity": 24.6883407005789, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Google\", \"Samsung\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 55 |
+
{"perplexity": 22.277413619786078, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"IMF\", \"The World Bank\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 56 |
+
{"perplexity": 23.810956181208287, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Nikon\", \"Tokina\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 57 |
+
{"perplexity": 20.44601457657723, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Walter White\", \"Gus Fring\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 58 |
+
{"perplexity": 21.429079293551, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Ron Weasley\", \"Neville Longbottom\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 59 |
+
{"perplexity": 18.039947382936543, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Darth Vader\", \"Emperor Palpatine\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 60 |
+
{"perplexity": 18.48734786953388, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Coca-Cola\", \"McDonald's\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 61 |
+
{"perplexity": 21.84091591165638, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Instagram\", \"WhatsApp\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 62 |
+
{"perplexity": 23.953706291329794, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Noah Schnapp\", \"Galatasaray S.K.\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 63 |
+
{"perplexity": 22.962558774022337, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"US\", \"Canada\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 64 |
+
{"perplexity": 23.646171113930492, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Bob Marley\", \"Abu Bakr\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 65 |
+
{"perplexity": 25.046905011412417, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Jeff Bezos\", \"GitHub\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 66 |
+
{"perplexity": 24.626732702022565, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Hong Kong\", \"HSBC\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 67 |
+
{"perplexity": 20.45780861797969, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"United States\", \"United Kingdom\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 68 |
+
{"perplexity": 19.796013077112004, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Porter Wagoner\", \"Dolly Parton\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 69 |
+
{"perplexity": 28.34281723961646, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Achilles\", \"Jonathan Bailey\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 70 |
+
{"perplexity": 26.946606955211852, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Linus Sebastian\", \"Marques Brownlee\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 71 |
+
{"perplexity": 21.685779950922548, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Catherine Zeta-Jones\", \"Johnny Knoxville\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 72 |
+
{"perplexity": 25.90294216889575, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Amazon\", \"Royal Mail\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 73 |
+
{"perplexity": 23.280357417848894, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"The Beatles\", \"Queen\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 74 |
+
{"perplexity": 22.71845714384963, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Benedict Cumberbatch\", \"Hanukkah\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 75 |
+
{"perplexity": 24.55009526575611, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Huawei\", \"China\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 76 |
+
{"perplexity": 26.158305504712143, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Rishi Sunak\", \"Emmanuel Macron\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 77 |
+
{"perplexity": 25.8231659124837, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Microsoft\", \"LinkedIn\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 78 |
+
{"perplexity": 26.420361980758003, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Paul Rudd\", \"Memento\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 79 |
+
{"perplexity": 24.41012830035674, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Russia\", \"Georgia\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 80 |
+
{"perplexity": 21.978069108628226, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Germany\", \"France\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 81 |
+
{"perplexity": 24.353757740565637, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Stephen Hawking\", \"Brian Cox\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 82 |
+
{"perplexity": 18.088386295184453, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Jean-Michel Basquiat\", \"Andy Warhol\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 83 |
+
{"perplexity": 27.585532604912466, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Mark Drakeford\", \"Rishi Sunak\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 84 |
+
{"perplexity": 28.356123922141375, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"J\u00fcrgen Klopp\", \"Exo\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 85 |
+
{"perplexity": 25.835768164868828, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Windows\", \"Xbox\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 86 |
+
{"perplexity": 27.975387071401304, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Saturn\", \"Rachel Bilson\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 87 |
+
{"perplexity": 27.2249578634686, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Ottoman Empire\", \"Snowpiercer\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 88 |
+
{"perplexity": 23.139248031373892, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Johnny Cash\", \"Waylon Jennings\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 89 |
+
{"perplexity": 22.09627190852536, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"UN\", \"NATO\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 90 |
+
{"perplexity": 21.64102640826589, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Boris Johnson\", \"Emmanuel Macron\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 91 |
+
{"perplexity": 19.183523449199427, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Cersei Lannister\", \"Euron Greyjoy\"] entities that are friends or allies as well?\n yes", "output": ""}
|
| 92 |
+
{"perplexity": 22.952262604100866, "input": "Answer the question by yes or no. We know that [\"Elsa\", \"Anna\"],[\"Australia\", \"New Zealand\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Japan\", \"Taiwan\"] entities that are friends or allies as well?\n yes", "output": ""}
|