diff --git a/experiments/analysis/correlation/after.all.csv b/experiments/analysis/correlation/after.all.csv deleted file mode 100644 index 7fd13f2a923fafe5b68d7b9b9b04bf07e92e2a0f..0000000000000000000000000000000000000000 --- a/experiments/analysis/correlation/after.all.csv +++ /dev/null @@ -1,9 +0,0 @@ -,A,B,C,D,E,F,G,Others -A,100,61,82,68,72,75,74,83 -B,61,100,61,60,63,59,60,66 -C,82,61,100,72,69,75,74,83 -D,68,60,72,100,68,69,70,77 -E,72,63,69,68,100,69,72,76 -F,75,59,75,69,69,100,70,78 -G,74,60,74,70,72,70,100,79 -Avg,76,66,76,72,73,74,74,78 diff --git a/experiments/analysis/correlation/after.is_competitor-rival_of.csv b/experiments/analysis/correlation/after.is_competitor-rival_of.csv deleted file mode 100644 index 7df933a30d72b855704bd4fa470fe3b0bc0c73a9..0000000000000000000000000000000000000000 --- a/experiments/analysis/correlation/after.is_competitor-rival_of.csv +++ /dev/null @@ -1,9 +0,0 @@ -,A,B,C,D,E,F,G,Others -A,100.0,56.54319390515396,79.87133431279439,70.95818750915267,74.03711383203164,78.69931852275197,78.87638094632628,86.08225526308935 -B,56.54319390515396,100.0,48.04659857958964,39.17693516383341,59.64637012600053,58.85352304643422,51.618426893789746,56.86820300674108 -C,79.87133431279439,48.04659857958964,100.0,76.54855391331245,67.6085519390185,74.60666967684703,75.55332383117188,81.0788877824353 -D,70.95818750915267,39.17693516383341,76.54855391331245,100.0,54.06490863378692,67.8861938889971,69.76801705759928,75.8361454463992 -E,74.03711383203164,59.64637012600053,67.6085519390185,54.06490863378692,100.0,70.09210566043514,67.33088872309497,74.86739649782788 -F,78.69931852275197,58.85352304643422,74.60666967684703,67.8861938889971,70.09210566043514,100.0,66.34696159870124,80.42278452805233 -G,78.87638094632628,51.618426893789746,75.55332383117188,69.76801705759928,67.33088872309497,66.34696159870124,100.0,79.33053104999443 -Avg,76.99793271831585,59.12643538782879,74.60500460753342,68.34325659524026,70.39713413062397,73.78353891345239,72.78485700724049,76.35517193921994 diff --git a/experiments/analysis/correlation/after.is_friend-ally_of.csv b/experiments/analysis/correlation/after.is_friend-ally_of.csv deleted file mode 100644 index 729d0b60cf7cf6b289872b2273a169d4db174ed0..0000000000000000000000000000000000000000 --- a/experiments/analysis/correlation/after.is_friend-ally_of.csv +++ /dev/null @@ -1,9 +0,0 @@ -,A,B,C,D,E,F,G,Others -A,100.0,73.5158066035359,85.12066706809678,69.40314867296632,73.66824765822612,78.1088578701807,73.39476096101995,86.8532003252799 -B,73.5158066035359,100.0,74.93994575530773,53.67391003422357,63.95426568650334,72.91672265302968,65.73772236823466,76.24715921844862 -C,85.12066706809678,74.93994575530773,100.0,69.1201397730712,71.65542383420254,77.33646092998272,74.26522935021809,87.95166180614709 -D,69.40314867296632,53.67391003422357,69.1201397730712,100.0,62.95972780275258,60.291767924280904,66.01345780309363,70.5188423648465 -E,73.66824765822612,63.95426568650334,71.65542383420254,62.95972780275258,100.0,66.68150265645419,70.60536454057583,75.61675189464589 -F,78.1088578701807,72.91672265302968,77.33646092998272,60.291767924280904,66.68150265645419,100.0,74.95839266319567,80.06289154527263 -G,73.39476096101995,65.73772236823466,74.26522935021809,66.01345780309363,70.60536454057583,74.95839266319567,100.0,78.39054390307113 -Avg,79.03021269057511,72.10548187154784,78.9196952444113,68.78030743005546,72.78921888267351,75.75624352816055,74.99641824090541,79.37729300824454 diff --git a/experiments/analysis/correlation/after.is_influenced_by.csv b/experiments/analysis/correlation/after.is_influenced_by.csv deleted file mode 100644 index eaefb712acffc2e4001ad22ff9170700a0a8828f..0000000000000000000000000000000000000000 --- a/experiments/analysis/correlation/after.is_influenced_by.csv +++ /dev/null @@ -1,9 +0,0 @@ -,A,B,C,D,E,F,G,Others -A,100.0,51.94171331444277,76.64686404594195,68.55138766065575,68.67476656701089,60.56268637566388,71.07198336389125,76.65846418330784 -B,51.94171331444277,100.0,56.216149636956715,63.88710689660275,49.767674630280254,34.211316819741576,55.5705129270886,56.22898643303505 -C,76.64686404594195,56.216149636956715,100.0,74.50188749125914,69.52037492991374,70.19678111002037,76.59617234660793,84.5912792667659 -D,68.55138766065575,63.88710689660275,74.50188749125914,100.0,65.21611910474178,53.97509331865549,71.07394893761723,76.96075529482714 -E,68.67476656701089,49.767674630280254,69.52037492991374,65.21611910474178,100.0,65.44921765837152,71.50287989073686,70.9076829805752 -F,60.56268637566388,34.211316819741576,70.19678111002037,53.97509331865549,65.44921765837152,100.0,62.66192236851534,63.29379817092439 -G,71.07198336389125,55.5705129270886,76.59617234660793,71.07394893761723,71.50287989073686,62.66192236851534,100.0,78.37981277607685 -Avg,71.06420018965807,58.79921060358753,74.81117565152854,71.02936334421888,70.01871896872215,63.86528823585259,72.63963140492247,72.43153987221605 diff --git a/experiments/analysis/correlation/after.is_known_for.csv b/experiments/analysis/correlation/after.is_known_for.csv deleted file mode 100644 index 806f9948e03d73e9551196b902d83e9858606f5a..0000000000000000000000000000000000000000 --- a/experiments/analysis/correlation/after.is_known_for.csv +++ /dev/null @@ -1,9 +0,0 @@ -,A,B,C,D,E,F,G,Others -A,100.0,74.74442833532684,84.13532982131655,78.11282022609298,79.7217723101429,80.27736779799007,78.06582585030257,88.44840275453632 -B,74.74442833532684,100.0,71.88484545113157,70.96478619650367,73.26309074151189,65.84376066947098,70.95702296183376,76.45141083803824 -C,84.13532982131655,71.88484545113157,100.0,78.34676361771689,77.61657753751035,76.34426804007906,80.7906110355711,88.67600784268357 -D,78.11282022609298,70.96478619650367,78.34676361771689,100.0,76.21394151356353,81.9798764256365,75.33292538603865,83.16422966540911 -E,79.7217723101429,73.26309074151189,77.61657753751035,76.21394151356353,100.0,71.81655636035532,76.05645487800281,80.843952632741 -F,80.27736779799007,65.84376066947098,76.34426804007906,81.9798764256365,71.81655636035532,100.0,72.46069739803418,81.11414255091312 -G,78.06582585030257,70.95702296183376,80.7906110355711,75.33292538603865,76.05645487800281,72.46069739803418,100.0,82.87601809487577 -Avg,82.15107776302456,75.37970490796839,81.3026279290465,80.13587333793603,79.24119904872668,78.38893238450945,79.09479107282615,83.08202348274244 diff --git a/experiments/analysis/correlation/after.is_similar_to.csv b/experiments/analysis/correlation/after.is_similar_to.csv deleted file mode 100644 index fc8169b8e94d8216726d65a44de0c775224e4758..0000000000000000000000000000000000000000 --- a/experiments/analysis/correlation/after.is_similar_to.csv +++ /dev/null @@ -1,9 +0,0 @@ -,A,B,C,D,E,F,G,Others -A,100.0,60.00975228758444,81.54101511133754,74.43602738182507,77.56590405414345,78.39753384441264,73.41096267200922,82.58933416066628 -B,60.00975228758444,100.0,63.40923847092774,66.93455347751886,64.98314809483378,60.945408506618904,62.85800772150512,70.3739329356405 -C,81.54101511133754,63.40923847092774,100.0,74.89990701550816,74.51949080720523,74.1472801283226,70.62798083887134,80.30647168681931 -D,74.43602738182507,66.93455347751886,74.89990701550816,100.0,76.8730463177485,77.64379432171697,73.59632760275106,84.47353824438342 -E,77.56590405414345,64.98314809483378,74.51949080720523,76.8730463177485,100.0,74.62112320369897,77.74721316545488,82.78509781266935 -F,78.39753384441264,60.945408506618904,74.1472801283226,77.64379432171697,74.62112320369897,100.0,73.7701157624435,79.73809286146313 -G,73.41096267200922,62.85800772150512,70.62798083887134,73.59632760275106,77.74721316545488,73.7701157624435,100.0,78.98319006106121 -Avg,77.90874219304463,68.4485869369984,77.02070176745323,77.7690937310098,78.04427509186927,77.07503653817336,76.00151539471929,79.89280825181473 diff --git a/experiments/analysis/correlation/before.all.csv b/experiments/analysis/correlation/before.all.csv deleted file mode 100644 index 908f1c487e87ffcb9b9ce737584161b9dc62275c..0000000000000000000000000000000000000000 --- a/experiments/analysis/correlation/before.all.csv +++ /dev/null @@ -1,9 +0,0 @@ -,A,B,C,D,E,F,G,Others -A,100,52,78,60,62,69,67,79 -B,52,100,52,48,50,49,48,58 -C,78,52,100,62,56,69,68,78 -D,60,48,62,100,52,56,59,67 -E,62,50,56,52,100,58,60,66 -F,69,49,69,56,58,100,63,73 -G,67,48,68,59,60,63,100,73 -Avg,70,57,69,62,62,66,66,71 diff --git a/experiments/analysis/correlation/before.is_competitor-rival_of.csv b/experiments/analysis/correlation/before.is_competitor-rival_of.csv deleted file mode 100644 index d875d1da91a8f20cf9bf3585b8371afd8f170d45..0000000000000000000000000000000000000000 --- a/experiments/analysis/correlation/before.is_competitor-rival_of.csv +++ /dev/null @@ -1,9 +0,0 @@ -,A,B,C,D,E,F,G,Others -A,100.0,52.28721031777685,73.01988202167145,61.86751259067569,59.02327389906606,69.62464900519876,74.58759543955621,81.14875407290214 -B,52.28721031777685,100.0,47.78332950150525,33.57173333983089,51.487850121438896,47.45439315170696,51.1517480290777,55.33264230791658 -C,73.01988202167145,47.78332950150525,100.0,64.98466726607829,46.820061474869846,65.96915924507293,65.14892715557822,72.93086309794178 -D,61.86751259067569,33.57173333983089,64.98466726607829,100.0,27.065771191857724,58.48419600706666,59.06263159011146,64.35814337603051 -E,59.02327389906606,51.487850121438896,46.820061474869846,27.065771191857724,100.0,57.565084203818515,50.06001864754375,57.88758692047003 -F,69.62464900519876,47.45439315170696,65.96915924507293,58.48419600706666,57.565084203818515,100.0,64.22063751846045,75.01817026033358 -G,74.58759543955621,51.1517480290777,65.14892715557822,59.06263159011146,50.06001864754375,64.22063751846045,100.0,75.46874464331518 -Avg,70.058589039135,54.819466351619496,66.24657523782516,57.862358855088665,56.0031513626564,66.18830273304631,66.31879405433254,68.87784352555855 diff --git a/experiments/analysis/correlation/before.is_friend-ally_of.csv b/experiments/analysis/correlation/before.is_friend-ally_of.csv deleted file mode 100644 index d466d29ea2d18b30865c9afbbd7599bc97f365de..0000000000000000000000000000000000000000 --- a/experiments/analysis/correlation/before.is_friend-ally_of.csv +++ /dev/null @@ -1,9 +0,0 @@ -,A,B,C,D,E,F,G,Others -A,100.0,64.00716670487974,80.96929991489021,60.91711038747562,51.07234033415702,69.93055219508739,61.54228944153153,80.81008710100899 -B,64.00716670487974,100.0,64.6463769759354,39.18445396059515,45.28171497683371,63.865856548521215,54.85618995287416,66.84599833129245 -C,80.96929991489021,64.6463769759354,100.0,60.98343341269177,49.48409115451416,69.15399781710762,67.14087372027983,81.05528565973273 -D,60.91711038747562,39.18445396059515,60.98343341269177,100.0,39.803858867062125,37.87022510983166,57.10120713061978,59.73916828666306 -E,51.07234033415702,45.28171497683371,49.48409115451416,39.803858867062125,100.0,46.676485112587955,56.43076386123579,56.737579516621196 -F,69.93055219508739,63.865856548521215,69.15399781710762,37.87022510983166,46.676485112587955,100.0,61.7547119793853,71.06535432862361 -G,61.54228944153153,54.85618995287416,67.14087372027983,57.10120713061978,56.43076386123579,61.7547119793853,100.0,73.2101891094599 -Avg,69.77696556828879,61.6916798742342,70.33972471363128,56.551469838325154,55.535607758055825,64.17883268036016,65.54657658370377,69.92338033334313 diff --git a/experiments/analysis/correlation/before.is_influenced_by.csv b/experiments/analysis/correlation/before.is_influenced_by.csv deleted file mode 100644 index 26e19af36407151ca81e763012e0a3fc3e2d9a1c..0000000000000000000000000000000000000000 --- a/experiments/analysis/correlation/before.is_influenced_by.csv +++ /dev/null @@ -1,9 +0,0 @@ -,A,B,C,D,E,F,G,Others -A,100.0,41.13916123239298,72.7891745489556,60.38517263617589,65.39476441892661,56.59326764561505,67.2494054690764,74.89564177488828 -B,41.13916123239298,100.0,42.52077993986884,47.19483292507752,34.29897205100569,25.691451698984398,38.022325185482174,44.75182675614367 -C,72.7891745489556,42.52077993986884,100.0,58.52916677892595,59.20916995743405,64.6044634829157,69.52603806039939,77.81298422977686 -D,60.38517263617589,47.19483292507752,58.52916677892595,100.0,53.728902194119485,45.629522263837686,61.88801859214723,64.90467803921561 -E,65.39476441892661,34.29897205100569,59.20916995743405,53.728902194119485,100.0,58.54579111991007,63.97748570260461,64.69585985116137 -F,56.59326764561505,25.691451698984398,64.6044634829157,45.629522263837686,58.54579111991007,100.0,59.49798850743312,60.774236785423696 -G,67.2494054690764,38.022325185482174,69.52603806039939,61.88801859214723,63.97748570260461,59.49798850743312,100.0,72.96323307529103 -Avg,66.22156370730609,46.98107471897309,66.73982753835708,61.05080219861197,62.16501220628579,58.651783531242295,65.73732307387755,65.82835150170007 diff --git a/experiments/analysis/correlation/before.is_known_for.csv b/experiments/analysis/correlation/before.is_known_for.csv deleted file mode 100644 index b9f9a94048d0b769a71489d92d9283ee9e9f4f04..0000000000000000000000000000000000000000 --- a/experiments/analysis/correlation/before.is_known_for.csv +++ /dev/null @@ -1,9 +0,0 @@ -,A,B,C,D,E,F,G,Others -A,100.0,67.60542521315183,78.99258414561156,70.60729823080707,74.68943205270077,73.99844745656023,70.94236998891486,85.0291674589494 -B,67.60542521315183,100.0,64.40711519776913,61.948046919934484,60.83803213187071,57.95402107485319,61.0893228550051,68.76444945558835 -C,78.99258414561156,64.40711519776913,100.0,72.5243047524468,71.08735855760287,71.72798299872653,78.79869372505223,86.64419989131211 -D,70.60729823080707,61.948046919934484,72.5243047524468,100.0,64.16978480034184,74.0475244254116,64.46888949548037,76.86855504489868 -E,74.68943205270077,60.83803213187071,71.08735855760287,64.16978480034184,100.0,62.80562081530741,67.78495226346166,74.65875054250918 -F,73.99844745656023,57.95402107485319,71.72798299872653,74.0475244254116,62.80562081530741,100.0,67.67681353308181,77.38669659002932 -G,70.94236998891486,61.0893228550051,78.79869372505223,64.46888949548037,67.78495226346166,67.67681353308181,100.0,78.22620278337227 -Avg,76.69079386967805,67.6917090560835,76.79114848245845,72.53797837491746,71.62502580304076,72.60148718627725,72.96586312299944,78.22543168095133 diff --git a/experiments/analysis/correlation/before.is_similar_to.csv b/experiments/analysis/correlation/before.is_similar_to.csv deleted file mode 100644 index 77dd656436626c2bf68b5b16d76cce971932be65..0000000000000000000000000000000000000000 --- a/experiments/analysis/correlation/before.is_similar_to.csv +++ /dev/null @@ -1,9 +0,0 @@ -,A,B,C,D,E,F,G,Others -A,100.0,50.788390527450986,81.3309571392445,65.93758595023561,71.13540455548613,76.2911846293017,64.67431705394428,81.95818829358748 -B,50.788390527450986,100.0,50.29789364051304,46.1791780099053,49.29530173722065,45.834119144143784,44.635319406219466,56.74584338567736 -C,81.3309571392445,50.29789364051304,100.0,66.78448204534237,68.81163175266447,71.55517763803671,65.09737826880126,80.70066572829978 -D,65.93758595023561,46.1791780099053,66.78448204534237,100.0,63.17852638209246,62.87725600577802,59.207656007848755,72.62927605237593 -E,71.13540455548613,49.29530173722065,68.81163175266447,63.17852638209246,100.0,63.1726268025905,62.37114999056743,75.09891932367825 -F,76.2911846293017,45.834119144143784,71.55517763803671,62.87725600577802,63.1726268025905,100.0,64.02868701383065,74.86624945198784 -G,64.67431705394428,44.635319406219466,65.09737826880126,59.207656007848755,62.37114999056743,64.02868701383065,100.0,70.49994963795264 -Avg,72.8796914079519,55.29002892363617,71.98250292637177,66.30924062874321,68.28066303151738,69.10843589052591,65.71635824874456,73.21415598193705 diff --git a/experiments/analysis/get_error_in_top_bottom.py b/experiments/analysis/get_error_in_top_bottom.py deleted file mode 100644 index c687d2e92ae5a8d70ea75edd0ff38e0aa7069a62..0000000000000000000000000000000000000000 --- a/experiments/analysis/get_error_in_top_bottom.py +++ /dev/null @@ -1,163 +0,0 @@ -import json -from random import uniform, seed -from statistics import mean -import pandas as pd -from datasets import load_dataset -from scipy.stats import spearmanr -with pd.option_context("max_colwidth", 1000): - - # baselines - target = { - "flan-t5-xxl": "Flan-T5\textsubscript{XXL}", - "opt-13b": "OPT\textsubscript{13B}", - "davinci": "GPT-3\textsubscript{davinci}" - } - pretty_name = { - 'is competitor/rival of': "Rival", - 'is friend/ally of': "Ally", - 'is influenced by': "Inf", - 'is known for': "Know", - 'is similar to': "Sim", - 'average': "Avg", - } - - - # def get_iaa(scores_all): - # avg = [[mean(__s for _m, __s in enumerate(_s) if _m != _n) for _s in scores_all] for _n in range(7)] - # single = [[_s[_n] for _s in scores_all] for _n in range(7)] - # tmptmp = [] - # ps = [] - # for a, s in zip(avg, single): - # c = round(pd.DataFrame([a, s]).T.corr("spearman").values[0][1] * 100, 1) - # ps.append(spearmanr(a, s)[1] < 0.05) - # # if str(c) == "nan": - # # seed(0) - # # c_tmp = [] - # # for _ in range(1000): - # # s_tmp = [_s + uniform(-0.5, 0.5) for _s in s] - # # c_tmp.append(round(pd.DataFrame([a, s_tmp]).T.corr("spearman").values[0][1] * 100, 1)) - # # c = mean(c_tmp) - # tmptmp.append(c) - # list(zip(tmptmp, ps)) - # return mean(tmptmp) - - - def format_text(_x, _y, _z): - bf = max(_x, _y, _z) - wf = str(min(_x, _y, _z)) - _x = "\textcolor{blue}{" + str(_x) + "}" if _x == bf else str(_x) - _y = "\textcolor{blue}{" + str(_y) + "}" if _y == bf else str(_y) - _z = "\textcolor{blue}{" + str(_z) + "}" if _z == bf else str(_z) - _x = "\textcolor{red}{" + str(_x) + "}" if _x == wf else str(_x) - _y = "\textcolor{red}{" + str(_y) + "}" if _y == wf else str(_y) - _z = "\textcolor{red}{" + str(_z) + "}" if _z == wf else str(_z) - return f"{_x} / {_y} / {_z}" - - - data = load_dataset("cardiffnlp/relentless_full", split="test") - table_full = [] - for prompt in ['qa', 'lc']: - output = [] - for d in data: - - for i in target.keys(): - with open(f"experiments/results/lm_{prompt}/{i}/ppl.{d['relation_type'].replace(' ', '_').replace('/', '__')}.jsonl") as f: - ppl = [json.loads(x)['perplexity'] for x in f.read().split("\n") if len(x) > 0] - rank_map = {p: n for n, p in enumerate(sorted(ppl), 1)} - prediction = [rank_map[p] for p in ppl] - - # get index - total_n = len(d['ranks']) - p = int(total_n/3) - top_n = [0, int(total_n * p / 100) + 1] - top_label = [x for x, _ in sorted(enumerate(d['ranks']), key=lambda x: x[1])[top_n[0]: top_n[1]]] - bottom_n = [total_n - int(total_n * p / 100), total_n] - bottom_label = [x for x, _ in sorted(enumerate(d['ranks']), key=lambda x: x[1])[bottom_n[0]: bottom_n[1]]] - mid_n = [top_n[1], bottom_n[0]] - mid_label = [x for x, _ in sorted(enumerate(d['ranks']), key=lambda x: x[1])[mid_n[0]: mid_n[1]]] - - # top - top_pred = [x for x, _ in sorted(enumerate(prediction), key=lambda x: x[1])[top_n[0]: top_n[1]]] - top_acc = len(set(top_pred).intersection(set(top_label))) / len(top_label) * 100 - # middle - mid_pred = [x for x, _ in sorted(enumerate(prediction), key=lambda x: x[1])[mid_n[0]: mid_n[1]]] - mid_acc = len(set(mid_pred).intersection(set(mid_label))) / len(mid_label) * 100 - # top - bottom_pred = [x for x, _ in sorted(enumerate(prediction), key=lambda x: x[1])[bottom_n[0]: bottom_n[1]]] - bottom_acc = len(set(bottom_pred).intersection(set(bottom_label))) / len(bottom_label) * 100 - - output.append({"model": i, "relation_type": d['relation_type'], "top": round(top_acc, 1), "bottom": round(bottom_acc, 1), "middle": round(mid_acc, 1)}) - - for i in target.keys(): - output.append({ - "model": i, "relation_type": "average", - "top": round(mean([o['top'] for o in output if o['model'] == i]), 0), - "bottom": round(mean([o['bottom'] for o in output if o['model'] == i]), 0), - "middle": round(mean([o['middle'] for o in output if o['model'] == i]), 0) - }) - - df = pd.DataFrame(output) - df['accuracy'] = [format_text(x, y, z) for x, y, z in zip(df['top'], df['middle'], df['bottom'])] - table = df.pivot(index="relation_type", columns="model", values="accuracy") - table.columns.name = None - table.index.name = None - table = table[target.keys()] - table.columns = [target[i] for i in table.columns] - table.index = [pretty_name[i] for i in table.index] - table = table.T[list(pretty_name.values())] - table = table.T - table = table.to_latex(escape=False) - table = table.split(r"\midrule")[1].split(r"\bottomrule")[0] - table = r"\multicolumn{4}{l}{\emph{" + prompt.upper() + r" template}} \\ " + table - table_full.append(table) - - table_full = "\midrule".join(table_full) - - # - # output = [] - # top_all = [] - # mid_all = [] - # bottom_all = [] - # - # for d in data: - # if d['relation_type'] == "is influenced by": - # break - # total_n = len(d['ranks']) - # p = int(total_n / 3) - # top_n = [0, int(total_n * p / 100) + 1] - # top_label = [x for x, _ in sorted(enumerate(d['ranks']), key=lambda x: x[1])[top_n[0]: top_n[1]]] - # bottom_n = [total_n - int(total_n * p / 100), total_n] - # bottom_label = [x for x, _ in sorted(enumerate(d['ranks']), key=lambda x: x[1])[bottom_n[0]: bottom_n[1]]] - # mid_n = [top_n[1], bottom_n[0]] - # mid_label = [x for x, _ in sorted(enumerate(d['ranks']), key=lambda x: x[1])[mid_n[0]: mid_n[1]]] - # - # output.append({ - # "model": "IAA", "relation_type": d['relation_type'], - # "top": round(get_iaa([d['scores_all'][_i] for _i in top_label]), 1), - # "bottom": round(get_iaa([d['scores_all'][_i] for _i in mid_label]), 1), - # "middle": round(get_iaa([d['scores_all'][_i] for _i in bottom_label]), 1) - # }) - # top_all += [d['scores_all'][_i] for _i in top_label] - # mid_all += [d['scores_all'][_i] for _i in mid_label] - # bottom_all += [d['scores_all'][_i] for _i in bottom_label] - # output.append({ - # "model": "IAA", "relation_type": "average", - # "top": round(get_iaa(top_all), 1), - # "bottom": round(get_iaa(mid_all), 1), - # "middle": round(get_iaa(bottom_all), 1) - # }) - # - # df = pd.DataFrame(output) - # df['accuracy'] = [format_text(x, y, z) for x, y, z in zip(df['top'], df['middle'], df['bottom'])] - # table = df.pivot(index="relation_type", columns="model", values="accuracy") - # table.columns.name = None - # table.index.name = None - # table.index = [pretty_name[i] for i in table.index] - # table = table.T[list(pretty_name.values())] - # table = table.to_latex(escape=False) - # table = table.split(r"\midrule")[1].split(r"\bottomrule")[0] - # # table = r"\multicolumn{4}{l}{\emph{" + prompt.upper() + r" template}} \\ " + table - # table_full = table_full + table - print() - print() - print(table_full) \ No newline at end of file diff --git a/experiments/analysis/get_qualitative.py b/experiments/analysis/get_qualitative.py deleted file mode 100644 index 6f136e5a362498b4abd12f0b0ed4097b2e3bd915..0000000000000000000000000000000000000000 --- a/experiments/analysis/get_qualitative.py +++ /dev/null @@ -1,95 +0,0 @@ -import os -import json -import pandas as pd -from datasets import load_dataset - -pd.set_option('display.max_rows', None) -pd.set_option('display.max_columns', None) -os.makedirs("experiments/analysis/qualitative", exist_ok=True) - -# baselines -target = { - "flan-t5-xxl": "Flan-T5\textsubscript{XXL}", - "opt-13b": "OPT\textsubscript{13B}", - "davinci": "GPT-3\textsubscript{davinci}" -} -pretty_name = { - 'average': "Avg", - 'is competitor/rival of': "Rival", - 'is friend/ally of': "Ally", - 'is influenced by': "Inf", - 'is known for': "Know", - 'is similar to': "Sim" -} -p = 30 -data = load_dataset("cardiffnlp/relentless_full", split="test") -for prompt in ['qa', 'lc']: - output = [] - for d in data: - for i in target.keys(): - with open(f"experiments/results/lm_{prompt}/{i}/ppl.{d['relation_type'].replace(' ', '_').replace('/', '__')}.jsonl") as f: - ppl = [json.loads(x)['perplexity'] for x in f.read().split("\n") if len(x) > 0] - rank_map = {p: n for n, p in enumerate(sorted(ppl), 1)} - prediction = [rank_map[p] for p in ppl] - - # get index - total_n = len(d['ranks']) - p = int(total_n / 3) - top_n = [0, int(total_n * p / 100) + 1] - top_label = [x for x, _ in sorted(enumerate(d['ranks']), key=lambda x: x[1])[top_n[0]: top_n[1]]] - bottom_n = [total_n - int(total_n * p / 100), total_n] - bottom_label = [x for x, _ in sorted(enumerate(d['ranks']), key=lambda x: x[1])[bottom_n[0]: bottom_n[1]]] - mid_n = [top_n[1], bottom_n[0]] - mid_label = [x for x, _ in sorted(enumerate(d['ranks']), key=lambda x: x[1])[mid_n[0]: mid_n[1]]] - - # top - top_pred = [x for x, _ in sorted(enumerate(prediction), key=lambda x: x[1])[top_n[0]: top_n[1]]] - top_acc = len(set(top_pred).intersection(set(top_label))) / len(top_label) * 100 - # middle - mid_pred = [x for x, _ in sorted(enumerate(prediction), key=lambda x: x[1])[mid_n[0]: mid_n[1]]] - mid_acc = len(set(mid_pred).intersection(set(mid_label))) / len(mid_label) * 100 - # top - bottom_pred = [x for x, _ in sorted(enumerate(prediction), key=lambda x: x[1])[bottom_n[0]: bottom_n[1]]] - bottom_acc = len(set(bottom_pred).intersection(set(bottom_label))) / len(bottom_label) * 100 - - # the index of bottom p percent - output.append({ - "relation_type": d['relation_type'], - "model": i, - "top_pred_and_bottom_gold": [" : ".join(d['pairs'][x]) for x in set(top_pred).intersection(bottom_label)], - "bottom_pred_and_top_gold": [" : ".join(d['pairs'][x]) for x in set(bottom_pred).intersection(top_label)], - }) - - df = pd.DataFrame(output) - df.to_csv(f"experiments/analysis/qualitative/{prompt}.{p}.csv", index=False) - # df.pop("top_num") - # df.pop("bottom_num") - df['relation_type'] = [pretty_name[i] for i in df['relation_type']] - print(df) - - new_df = [] - for _, i in df.iterrows(): - top_pred_and_bottom_gold = i['top_pred_and_bottom_gold'][:min(len(i['top_pred_and_bottom_gold']), 4)] - bottom_pred_and_top_gold = i['bottom_pred_and_top_gold'][:min(len(i['bottom_pred_and_top_gold']), 4)] - for x in range(max(len(bottom_pred_and_top_gold), len(top_pred_and_bottom_gold))): - # for x in range(max(len(bottom_pred_and_top_gold), len(top_pred_and_bottom_gold)) // 3): - if len(top_pred_and_bottom_gold) >= x + 1: - t = ", ".join(top_pred_and_bottom_gold[x * 1:min(len(top_pred_and_bottom_gold) + 1, (x + 1)*1)]) - else: - t = "" - if len(bottom_pred_and_top_gold) >= x + 1: - b = ", ".join(bottom_pred_and_top_gold[x*1:min(len(bottom_pred_and_top_gold) + 1, (x + 1)*1)]) - else: - b = "" - new_df.append({"relation_type": i['relation_type'], "model": i['model'], "top": t, "bottom": b}) - df_new = pd.DataFrame(new_df) - df_new['model'] = [target[i] for i in df_new['model']] - df_new = df_new[['model', 'relation_type', 'top', 'bottom']] - df_new = df_new.sort_values(by=['model', 'relation_type']) - df_new.to_csv(f"experiments/analysis/qualitative/{prompt}.{p}.format.csv", index=False) - with pd.option_context("max_colwidth", 1000): - table = df_new.to_latex(index=False, escape=False) - table = table.split(r"\midrule")[1].split(r"\bottomrule")[0] - print(table) - - diff --git a/experiments/analysis/qualitative/lc.30.csv b/experiments/analysis/qualitative/lc.30.csv deleted file mode 100644 index 7a90043ce3adcddd9fb8cd963b112e3568a3e774..0000000000000000000000000000000000000000 --- a/experiments/analysis/qualitative/lc.30.csv +++ /dev/null @@ -1,16 +0,0 @@ -relation_type,model,top_pred_and_bottom_gold,bottom_pred_and_top_gold -is competitor/rival of,flan-t5-xxl,['Germany : Austria'],"['Eminem : MGK', 'AWS : GCP']" -is competitor/rival of,opt-13b,['Bashar al-Assad : Christianity'],['Netflix : Disney Plus'] -is competitor/rival of,davinci,['Serena Williams : Andy Murray'],"['Netflix : Disney Plus', 'Eminem : MGK']" -is friend/ally of,flan-t5-xxl,"['Liam Gallagher : Noel Gallagher', 'Joseph Stalin : Josip Broz Tito', 'Sophia Loren : Marlon Brando', 'Catherine Zeta-Jones : Johnny Knoxville', 'Armenia : Azerbaijan', 'Russia : Georgia']","['Gondor : Rohan', 'FTX : Alameda Research', 'Red Bull : GoPro', 'Aznar : Bush', 'Windows : Xbox', 'Rishi Sunak : Joe Biden']" -is friend/ally of,opt-13b,"['Joseph Stalin : Josip Broz Tito', 'Sophia Loren : Marlon Brando', 'Armenia : Azerbaijan']","['FTX : Alameda Research', 'Elsa : Anna', 'Aznar : Bush', 'Windows : Xbox', 'Rishi Sunak : Joe Biden']" -is friend/ally of,davinci,"['Joseph Stalin : Josip Broz Tito', 'Sophia Loren : Marlon Brando', 'Armenia : Azerbaijan']","['FTX : Alameda Research', 'Elsa : Anna', 'Rishi Sunak : Joe Biden']" -is influenced by,flan-t5-xxl,"['Joe Biden : Donald Trump', 'Harry Potter : Wizard of Oz', 'Singaporean food : Malaysian food', 'James Brown : Michael Jackson', 'Brazil : Spain']","['Prince Harry : Monarchy', 'trending music : TikTok', 'Hoover : Dyson', 'English : William Shakespeare']" -is influenced by,opt-13b,"['Alicia Vikander : Richard Attenborough', 'Joe Biden : Donald Trump', 'Harry Potter : Wizard of Oz', 'Singaporean food : Malaysian food', 'James Brown : Michael Jackson']","['Prince Harry : Monarchy', 'trending music : TikTok', 'Stephen King : Arthur Machen', 'Wales : Westminster', 'English : William Shakespeare']" -is influenced by,davinci,"['Singaporean food : Malaysian food', 'Harry Potter : Wizard of Oz']","['Prince Harry : Monarchy', 'trending music : TikTok', 'English : William Shakespeare']" -is known for,flan-t5-xxl,"['Michael Jordan : Tessa Thompson', 'Italy : Hawaiian pizza', 'Inglourious Basterds : Sergio Busquets', 'Neil Armstrong : Korean War', 'Italy : tea', 'Coca-Cola : Pepsi', 'Rafael Nadal : Ralph Macchio', 'Romania : Roman Catholicism', 'Charles Bronson : Rory McIlroy']","['Greggs : sausage rolls', 'Thomas Edison : light bulb', 'Canada : maple syrup', 'Harvey Weinstein : Miramax', 'Europe : The Final Countdown', 'OpenAI : ChatGPT', 'UK : rain', 'Spain : olive oil', 'Valencia : paella']" -is known for,opt-13b,"['Inglourious Basterds : Sergio Busquets', 'Coca-Cola : Pepsi']","['Valencia : paella', 'OpenAI : ChatGPT', 'UK : rain']" -is known for,davinci,"['Inglourious Basterds : Sergio Busquets', 'Coca-Cola : Pepsi', 'Sophie Turner : Sylvia Plath', 'George Washington : Kiribati']","['Valencia : paella', 'OpenAI : ChatGPT', 'Bill Nye : scientist', 'Nvidia : GPUs']" -is similar to,flan-t5-xxl,"['Uzbekistan : United States', 'Dionysus : Toyota Corolla', ""Chess : Rubik's Cube""]","['Counter Strike : Rainbow Six', 'fusilli : rotini', 'Primark : Shein', 'PS5 : XBox', 'Cerave : Nivea']" -is similar to,opt-13b,"['Nicolae Ceaușescu : Javier Hernández', ""Chess : Rubik's Cube""]","['pill : tablet', 'Great Britian : British Empire', 'bourbon : Scotch whisky', 'fusilli : rotini', 'Minnesota : Wisconsin']" -is similar to,davinci,"['Nicolae Ceaușescu : Javier Hernández', ""Chess : Rubik's Cube""]","['pill : tablet', 'bourbon : Scotch whisky', 'fusilli : rotini', 'Primark : Shein', 'Homebase : IKEA', 'Cerave : Nivea']" diff --git a/experiments/analysis/qualitative/lc.30.format.csv b/experiments/analysis/qualitative/lc.30.format.csv deleted file mode 100644 index 31ff0fa0e65034a03489776001fc2a7410a87899..0000000000000000000000000000000000000000 --- a/experiments/analysis/qualitative/lc.30.format.csv +++ /dev/null @@ -1,51 +0,0 @@ -model,relation_type,top,bottom -Flan-T5 extsubscript{XXL},Ally,Liam Gallagher : Noel Gallagher,Gondor : Rohan -Flan-T5 extsubscript{XXL},Ally,Joseph Stalin : Josip Broz Tito,FTX : Alameda Research -Flan-T5 extsubscript{XXL},Ally,Sophia Loren : Marlon Brando,Red Bull : GoPro -Flan-T5 extsubscript{XXL},Ally,Catherine Zeta-Jones : Johnny Knoxville,Aznar : Bush -Flan-T5 extsubscript{XXL},Inf,Joe Biden : Donald Trump,Prince Harry : Monarchy -Flan-T5 extsubscript{XXL},Inf,Harry Potter : Wizard of Oz,trending music : TikTok -Flan-T5 extsubscript{XXL},Inf,Singaporean food : Malaysian food,Hoover : Dyson -Flan-T5 extsubscript{XXL},Inf,James Brown : Michael Jackson,English : William Shakespeare -Flan-T5 extsubscript{XXL},Know,Michael Jordan : Tessa Thompson,Greggs : sausage rolls -Flan-T5 extsubscript{XXL},Know,Italy : Hawaiian pizza,Thomas Edison : light bulb -Flan-T5 extsubscript{XXL},Know,Inglourious Basterds : Sergio Busquets,Canada : maple syrup -Flan-T5 extsubscript{XXL},Know,Neil Armstrong : Korean War,Harvey Weinstein : Miramax -Flan-T5 extsubscript{XXL},Rival,Germany : Austria,Eminem : MGK -Flan-T5 extsubscript{XXL},Rival,,AWS : GCP -Flan-T5 extsubscript{XXL},Sim,Uzbekistan : United States,Counter Strike : Rainbow Six -Flan-T5 extsubscript{XXL},Sim,Dionysus : Toyota Corolla,fusilli : rotini -Flan-T5 extsubscript{XXL},Sim,Chess : Rubik's Cube,Primark : Shein -Flan-T5 extsubscript{XXL},Sim,,PS5 : XBox -GPT-3 extsubscript{davinci},Ally,Joseph Stalin : Josip Broz Tito,FTX : Alameda Research -GPT-3 extsubscript{davinci},Ally,Sophia Loren : Marlon Brando,Elsa : Anna -GPT-3 extsubscript{davinci},Ally,Armenia : Azerbaijan,Rishi Sunak : Joe Biden -GPT-3 extsubscript{davinci},Inf,Singaporean food : Malaysian food,Prince Harry : Monarchy -GPT-3 extsubscript{davinci},Inf,Harry Potter : Wizard of Oz,trending music : TikTok -GPT-3 extsubscript{davinci},Inf,,English : William Shakespeare -GPT-3 extsubscript{davinci},Know,Inglourious Basterds : Sergio Busquets,Valencia : paella -GPT-3 extsubscript{davinci},Know,Coca-Cola : Pepsi,OpenAI : ChatGPT -GPT-3 extsubscript{davinci},Know,Sophie Turner : Sylvia Plath,Bill Nye : scientist -GPT-3 extsubscript{davinci},Know,George Washington : Kiribati,Nvidia : GPUs -GPT-3 extsubscript{davinci},Rival,Serena Williams : Andy Murray,Netflix : Disney Plus -GPT-3 extsubscript{davinci},Rival,,Eminem : MGK -GPT-3 extsubscript{davinci},Sim,Nicolae Ceaușescu : Javier Hernández,pill : tablet -GPT-3 extsubscript{davinci},Sim,Chess : Rubik's Cube,bourbon : Scotch whisky -GPT-3 extsubscript{davinci},Sim,,fusilli : rotini -GPT-3 extsubscript{davinci},Sim,,Primark : Shein -OPT extsubscript{13B},Ally,Joseph Stalin : Josip Broz Tito,FTX : Alameda Research -OPT extsubscript{13B},Ally,Sophia Loren : Marlon Brando,Elsa : Anna -OPT extsubscript{13B},Ally,Armenia : Azerbaijan,Aznar : Bush -OPT extsubscript{13B},Ally,,Windows : Xbox -OPT extsubscript{13B},Inf,Alicia Vikander : Richard Attenborough,Prince Harry : Monarchy -OPT extsubscript{13B},Inf,Joe Biden : Donald Trump,trending music : TikTok -OPT extsubscript{13B},Inf,Harry Potter : Wizard of Oz,Stephen King : Arthur Machen -OPT extsubscript{13B},Inf,Singaporean food : Malaysian food,Wales : Westminster -OPT extsubscript{13B},Know,Inglourious Basterds : Sergio Busquets,Valencia : paella -OPT extsubscript{13B},Know,Coca-Cola : Pepsi,OpenAI : ChatGPT -OPT extsubscript{13B},Know,,UK : rain -OPT extsubscript{13B},Rival,Bashar al-Assad : Christianity,Netflix : Disney Plus -OPT extsubscript{13B},Sim,Nicolae Ceaușescu : Javier Hernández,pill : tablet -OPT extsubscript{13B},Sim,Chess : Rubik's Cube,Great Britian : British Empire -OPT extsubscript{13B},Sim,,bourbon : Scotch whisky -OPT extsubscript{13B},Sim,,fusilli : rotini diff --git a/experiments/analysis/qualitative/lc.31.csv b/experiments/analysis/qualitative/lc.31.csv deleted file mode 100644 index bf75d23869545ba1d24e17afaf9c5a4cce84040a..0000000000000000000000000000000000000000 --- a/experiments/analysis/qualitative/lc.31.csv +++ /dev/null @@ -1,16 +0,0 @@ -relation_type,model,top_pred_and_bottom_gold,bottom_pred_and_top_gold -is competitor/rival of,flan-t5-xxl,[],['AWS : GCP'] -is competitor/rival of,opt-13b,[],[] -is competitor/rival of,davinci,[],['Netflix : Disney Plus'] -is friend/ally of,flan-t5-xxl,"['Liam Gallagher : Noel Gallagher', 'Joseph Stalin : Josip Broz Tito', 'Sophia Loren : Marlon Brando', 'Catherine Zeta-Jones : Johnny Knoxville', 'Armenia : Azerbaijan', 'Russia : Georgia']","['Gondor : Rohan', 'FTX : Alameda Research', 'Red Bull : GoPro', 'Aznar : Bush', 'Windows : Xbox', 'Rishi Sunak : Joe Biden']" -is friend/ally of,opt-13b,"['Joseph Stalin : Josip Broz Tito', 'Sophia Loren : Marlon Brando', 'Armenia : Azerbaijan']","['FTX : Alameda Research', 'Elsa : Anna', 'Aznar : Bush', 'Windows : Xbox', 'Rishi Sunak : Joe Biden']" -is friend/ally of,davinci,"['Joseph Stalin : Josip Broz Tito', 'Sophia Loren : Marlon Brando', 'Armenia : Azerbaijan']","['FTX : Alameda Research', 'Elsa : Anna', 'Rishi Sunak : Joe Biden']" -is influenced by,flan-t5-xxl,"['Joe Biden : Donald Trump', 'Brazil : Spain', 'Harry Potter : Wizard of Oz', 'James Brown : Michael Jackson']","['Prince Harry : Monarchy', 'trending music : TikTok', 'English : William Shakespeare']" -is influenced by,opt-13b,"['Singaporean food : Malaysian food', 'Joe Biden : Donald Trump', 'James Brown : Michael Jackson', 'Harry Potter : Wizard of Oz']","['Prince Harry : Monarchy', 'trending music : TikTok', 'Wales : Westminster', 'English : William Shakespeare']" -is influenced by,davinci,"['Singaporean food : Malaysian food', 'Harry Potter : Wizard of Oz']","['Prince Harry : Monarchy', 'trending music : TikTok', 'English : William Shakespeare']" -is known for,flan-t5-xxl,"['Michael Jordan : Tessa Thompson', 'Italy : Hawaiian pizza', 'Inglourious Basterds : Sergio Busquets', 'Neil Armstrong : Korean War', 'Italy : tea', 'Coca-Cola : Pepsi', 'Rafael Nadal : Ralph Macchio', 'Romania : Roman Catholicism', 'Charles Bronson : Rory McIlroy']","['Red Bull : energy drinks', 'Thomas Edison : light bulb', 'Canada : maple syrup', 'Harvey Weinstein : Miramax', 'Alphabet Inc. : Google', 'Europe : The Final Countdown', 'OpenAI : ChatGPT', 'UK : rain', 'Spain : olive oil', 'Valencia : paella']" -is known for,opt-13b,"['India : Gurkhas', 'Coca-Cola : Pepsi', 'Inglourious Basterds : Sergio Busquets']","['Valencia : paella', 'OpenAI : ChatGPT', 'UK : rain']" -is known for,davinci,"['India : Gurkhas', 'Inglourious Basterds : Sergio Busquets', 'Sophie Turner : Sylvia Plath', 'Coca-Cola : Pepsi', 'George Washington : Kiribati']","['Valencia : paella', 'OpenAI : ChatGPT', 'Bill Nye : scientist', 'Nvidia : GPUs']" -is similar to,flan-t5-xxl,"['Uzbekistan : United States', 'Dionysus : Toyota Corolla', ""Chess : Rubik's Cube""]","['Counter Strike : Rainbow Six', 'fusilli : rotini', 'Shark : Bush', 'PS5 : XBox', 'Cerave : Nivea']" -is similar to,opt-13b,"['Nicolae Ceaușescu : Javier Hernández', ""Chess : Rubik's Cube""]","['pill : tablet', 'Great Britian : British Empire', 'fusilli : rotini', 'Shark : Bush', 'Minnesota : Wisconsin']" -is similar to,davinci,['Nicolae Ceaușescu : Javier Hernández'],"['pill : tablet', 'fusilli : rotini', 'Shark : Bush', 'Homebase : IKEA', 'Cerave : Nivea']" diff --git a/experiments/analysis/qualitative/lc.31.format.csv b/experiments/analysis/qualitative/lc.31.format.csv deleted file mode 100644 index 304fd3227994b72b3b45a5cd29051d7e7b1140c4..0000000000000000000000000000000000000000 --- a/experiments/analysis/qualitative/lc.31.format.csv +++ /dev/null @@ -1,48 +0,0 @@ -model,relation_type,top,bottom -Flan-T5 extsubscript{XXL},Ally,Liam Gallagher : Noel Gallagher,Gondor : Rohan -Flan-T5 extsubscript{XXL},Ally,Joseph Stalin : Josip Broz Tito,FTX : Alameda Research -Flan-T5 extsubscript{XXL},Ally,Sophia Loren : Marlon Brando,Red Bull : GoPro -Flan-T5 extsubscript{XXL},Ally,Catherine Zeta-Jones : Johnny Knoxville,Aznar : Bush -Flan-T5 extsubscript{XXL},Inf,Joe Biden : Donald Trump,Prince Harry : Monarchy -Flan-T5 extsubscript{XXL},Inf,Brazil : Spain,trending music : TikTok -Flan-T5 extsubscript{XXL},Inf,Harry Potter : Wizard of Oz,English : William Shakespeare -Flan-T5 extsubscript{XXL},Inf,James Brown : Michael Jackson, -Flan-T5 extsubscript{XXL},Know,Michael Jordan : Tessa Thompson,Red Bull : energy drinks -Flan-T5 extsubscript{XXL},Know,Italy : Hawaiian pizza,Thomas Edison : light bulb -Flan-T5 extsubscript{XXL},Know,Inglourious Basterds : Sergio Busquets,Canada : maple syrup -Flan-T5 extsubscript{XXL},Know,Neil Armstrong : Korean War,Harvey Weinstein : Miramax -Flan-T5 extsubscript{XXL},Rival,,AWS : GCP -Flan-T5 extsubscript{XXL},Sim,Uzbekistan : United States,Counter Strike : Rainbow Six -Flan-T5 extsubscript{XXL},Sim,Dionysus : Toyota Corolla,fusilli : rotini -Flan-T5 extsubscript{XXL},Sim,Chess : Rubik's Cube,Shark : Bush -Flan-T5 extsubscript{XXL},Sim,,PS5 : XBox -GPT-3 extsubscript{davinci},Ally,Joseph Stalin : Josip Broz Tito,FTX : Alameda Research -GPT-3 extsubscript{davinci},Ally,Sophia Loren : Marlon Brando,Elsa : Anna -GPT-3 extsubscript{davinci},Ally,Armenia : Azerbaijan,Rishi Sunak : Joe Biden -GPT-3 extsubscript{davinci},Inf,Singaporean food : Malaysian food,Prince Harry : Monarchy -GPT-3 extsubscript{davinci},Inf,Harry Potter : Wizard of Oz,trending music : TikTok -GPT-3 extsubscript{davinci},Inf,,English : William Shakespeare -GPT-3 extsubscript{davinci},Know,India : Gurkhas,Valencia : paella -GPT-3 extsubscript{davinci},Know,Inglourious Basterds : Sergio Busquets,OpenAI : ChatGPT -GPT-3 extsubscript{davinci},Know,Sophie Turner : Sylvia Plath,Bill Nye : scientist -GPT-3 extsubscript{davinci},Know,Coca-Cola : Pepsi,Nvidia : GPUs -GPT-3 extsubscript{davinci},Rival,,Netflix : Disney Plus -GPT-3 extsubscript{davinci},Sim,Nicolae Ceaușescu : Javier Hernández,pill : tablet -GPT-3 extsubscript{davinci},Sim,,fusilli : rotini -GPT-3 extsubscript{davinci},Sim,,Shark : Bush -GPT-3 extsubscript{davinci},Sim,,Homebase : IKEA -OPT extsubscript{13B},Ally,Joseph Stalin : Josip Broz Tito,FTX : Alameda Research -OPT extsubscript{13B},Ally,Sophia Loren : Marlon Brando,Elsa : Anna -OPT extsubscript{13B},Ally,Armenia : Azerbaijan,Aznar : Bush -OPT extsubscript{13B},Ally,,Windows : Xbox -OPT extsubscript{13B},Inf,Singaporean food : Malaysian food,Prince Harry : Monarchy -OPT extsubscript{13B},Inf,Joe Biden : Donald Trump,trending music : TikTok -OPT extsubscript{13B},Inf,James Brown : Michael Jackson,Wales : Westminster -OPT extsubscript{13B},Inf,Harry Potter : Wizard of Oz,English : William Shakespeare -OPT extsubscript{13B},Know,India : Gurkhas,Valencia : paella -OPT extsubscript{13B},Know,Coca-Cola : Pepsi,OpenAI : ChatGPT -OPT extsubscript{13B},Know,Inglourious Basterds : Sergio Busquets,UK : rain -OPT extsubscript{13B},Sim,Nicolae Ceaușescu : Javier Hernández,pill : tablet -OPT extsubscript{13B},Sim,Chess : Rubik's Cube,Great Britian : British Empire -OPT extsubscript{13B},Sim,,fusilli : rotini -OPT extsubscript{13B},Sim,,Shark : Bush diff --git a/experiments/analysis/qualitative/qa.30.csv b/experiments/analysis/qualitative/qa.30.csv deleted file mode 100644 index 09ed260818423c4856a8a4757b143d02d09bd0bb..0000000000000000000000000000000000000000 --- a/experiments/analysis/qualitative/qa.30.csv +++ /dev/null @@ -1,16 +0,0 @@ -relation_type,model,top_pred_and_bottom_gold,bottom_pred_and_top_gold -is competitor/rival of,flan-t5-xxl,[],['Isaac Newton : Gottfried Leibniz'] -is competitor/rival of,opt-13b,"['Serena Williams : Andy Murray', 'Olympic Games : Helicobacter pylori', 'Mikhail Khodorkovsky : Hezbollah', 'Bashar al-Assad : Christianity']","['Netflix : Disney Plus', 'AWS : GCP']" -is competitor/rival of,davinci,"['Serena Williams : Andy Murray', 'Olympic Games : Helicobacter pylori', 'Bashar al-Assad : Christianity']","['Netflix : Disney Plus', 'Eminem : MGK', 'Saudi Arabia : Israel']" -is friend/ally of,flan-t5-xxl,"['Keir Starmer : Jeremy Corbyn', 'Liam Gallagher : Noel Gallagher', 'Russia : Georgia', 'Armenia : Azerbaijan']","['Ron Weasley : Neville Longbottom', 'Elsa : Anna', 'Aznar : Bush', 'Rishi Sunak : Joe Biden']" -is friend/ally of,opt-13b,"['Joseph Stalin : Josip Broz Tito', 'Sophia Loren : Marlon Brando', 'Armenia : Azerbaijan']","['Microsoft : LinkedIn', 'FTX : Alameda Research', 'Red Bull : GoPro', 'Aznar : Bush', 'Windows : Xbox', 'Rishi Sunak : Joe Biden']" -is friend/ally of,davinci,"['Walter White : Gus Fring', 'Joseph Stalin : Josip Broz Tito', 'Sophia Loren : Marlon Brando', 'Armenia : Azerbaijan']","['FTX : Alameda Research', 'Elsa : Anna', 'Aznar : Bush', 'Windows : Xbox', 'Rishi Sunak : Joe Biden']" -is influenced by,flan-t5-xxl,"['Luke Bryan : Hank Williams', 'Harry Potter : Wizard of Oz', 'Singaporean food : Malaysian food', 'James Brown : Michael Jackson', 'heavy metal : punk music']","['Prince Harry : Monarchy', 'Pepsi : Coca-Cola', 'trending music : TikTok', 'Wales : Westminster', 'Coca-Cola : Pepsi', 'Ethereum : Bitcoin', 'Apple Music : Spotify']" -is influenced by,opt-13b,"['Alicia Vikander : Richard Attenborough', 'Joe Biden : Donald Trump', 'Harry Potter : Wizard of Oz', 'Singaporean food : Malaysian food', 'James Brown : Michael Jackson']","['Prince Harry : Monarchy', 'trending music : TikTok', 'Stephen King : Arthur Machen', 'Wales : Westminster', 'European Union : Germany', 'Commonwealth : United Kingdom', 'English : William Shakespeare']" -is influenced by,davinci,"['Singaporean food : Malaysian food', 'James Brown : Michael Jackson', 'Alicia Vikander : Richard Attenborough', 'Harry Potter : Wizard of Oz']","['Prince Harry : Monarchy', 'trending music : TikTok', 'Stephen King : Arthur Machen', 'Commonwealth : United Kingdom', 'English : William Shakespeare']" -is known for,flan-t5-xxl,"['Romania : Roman Catholicism', 'Belgium : wine']","['Harvey Weinstein : Miramax', 'France : cheese', 'Boris Johnson : Brexit', 'Europe : The Final Countdown', 'Jeff Goldblum : Jurassic Park']" -is known for,opt-13b,"['Inglourious Basterds : Sergio Busquets', 'Sophie Turner : Sylvia Plath', 'Steve Jobs : AirPods', 'Coca-Cola : Pepsi', 'Rafael Nadal : Ralph Macchio', 'Pixar : Novosibirsk', 'Belgium : wine']","['Europe : The Final Countdown', 'OpenAI : ChatGPT', 'UK : rain', 'Jackson Pollock : action painting', 'Spain : olive oil', 'Valencia : paella']" -is known for,davinci,"['Inglourious Basterds : Sergio Busquets', 'Rafael Nadal : Ralph Macchio', 'Coca-Cola : Pepsi', 'Sophie Turner : Sylvia Plath']","['Valencia : paella', 'OpenAI : ChatGPT', 'UK : rain', 'Spain : olive oil']" -is similar to,flan-t5-xxl,"['New York : York', 'cannoli : canneloni', 'sphinx : sphynx', 'Gameboy : Nintendo']",['Suits : Law & Order'] -is similar to,opt-13b,"['Gisele Bündchen : Orson Welles', 'Eduardo Saverin : Guinea-Bissau', 'Nicolae Ceaușescu : Javier Hernández', ""Chess : Rubik's Cube"", 'sphinx : sphynx']","['pill : tablet', 'Great Britian : British Empire', 'bourbon : Scotch whisky', 'fusilli : rotini', 'Minnesota : Wisconsin']" -is similar to,davinci,"['Gisele Bündchen : Orson Welles', 'Eduardo Saverin : Guinea-Bissau', 'Nicolae Ceaușescu : Javier Hernández', ""Chess : Rubik's Cube"", 'sphinx : sphynx']","['pill : tablet', 'Great Britian : British Empire', 'fusilli : rotini', 'Primark : Shein', 'PS5 : XBox', 'Cerave : Nivea', 'Minnesota : Wisconsin']" diff --git a/experiments/analysis/qualitative/qa.30.format.csv b/experiments/analysis/qualitative/qa.30.format.csv deleted file mode 100644 index 2eaa21bb775e9915fd97a6627adea01afe5451ec..0000000000000000000000000000000000000000 --- a/experiments/analysis/qualitative/qa.30.format.csv +++ /dev/null @@ -1,20 +0,0 @@ -relation_type,model,top,bottom -Rival,OPT extsubscript{13B},"Serena Williams : Andy Murray, Olympic Games : Helicobacter pylori","Netflix : Disney Plus, AWS : GCP" -Rival,GPT-3 extsubscript{davinci},"Serena Williams : Andy Murray, Olympic Games : Helicobacter pylori","Netflix : Disney Plus, Eminem : MGK" -Ally,Flan-T5 extsubscript{XXL},"Keir Starmer : Jeremy Corbyn, Liam Gallagher : Noel Gallagher","Ron Weasley : Neville Longbottom, Elsa : Anna" -Ally,OPT extsubscript{13B},"Joseph Stalin : Josip Broz Tito, Sophia Loren : Marlon Brando","Microsoft : LinkedIn, FTX : Alameda Research" -Ally,OPT extsubscript{13B},Armenia : Azerbaijan,"Red Bull : GoPro, Aznar : Bush" -Ally,GPT-3 extsubscript{davinci},"Walter White : Gus Fring, Joseph Stalin : Josip Broz Tito","FTX : Alameda Research, Elsa : Anna" -Inf,Flan-T5 extsubscript{XXL},"Luke Bryan : Hank Williams, Harry Potter : Wizard of Oz","Prince Harry : Monarchy, Pepsi : Coca-Cola" -Inf,Flan-T5 extsubscript{XXL},"Singaporean food : Malaysian food, James Brown : Michael Jackson","trending music : TikTok, Wales : Westminster" -Inf,OPT extsubscript{13B},"Alicia Vikander : Richard Attenborough, Joe Biden : Donald Trump","Prince Harry : Monarchy, trending music : TikTok" -Inf,OPT extsubscript{13B},"Harry Potter : Wizard of Oz, Singaporean food : Malaysian food","Stephen King : Arthur Machen, Wales : Westminster" -Inf,GPT-3 extsubscript{davinci},"Singaporean food : Malaysian food, James Brown : Michael Jackson","Prince Harry : Monarchy, trending music : TikTok" -Know,Flan-T5 extsubscript{XXL},"Romania : Roman Catholicism, Belgium : wine","Harvey Weinstein : Miramax, France : cheese" -Know,OPT extsubscript{13B},"Inglourious Basterds : Sergio Busquets, Sophie Turner : Sylvia Plath","Europe : The Final Countdown, OpenAI : ChatGPT" -Know,OPT extsubscript{13B},"Steve Jobs : AirPods, Coca-Cola : Pepsi","UK : rain, Jackson Pollock : action painting" -Know,GPT-3 extsubscript{davinci},"Inglourious Basterds : Sergio Busquets, Rafael Nadal : Ralph Macchio","Valencia : paella, OpenAI : ChatGPT" -Sim,Flan-T5 extsubscript{XXL},"New York : York, cannoli : canneloni", -Sim,OPT extsubscript{13B},"Gisele Bündchen : Orson Welles, Eduardo Saverin : Guinea-Bissau","pill : tablet, Great Britian : British Empire" -Sim,GPT-3 extsubscript{davinci},"Gisele Bündchen : Orson Welles, Eduardo Saverin : Guinea-Bissau","pill : tablet, Great Britian : British Empire" -Sim,GPT-3 extsubscript{davinci},"Nicolae Ceaușescu : Javier Hernández, Chess : Rubik's Cube","fusilli : rotini, Primark : Shein" diff --git a/experiments/analysis/qualitative/qa.31.csv b/experiments/analysis/qualitative/qa.31.csv deleted file mode 100644 index 3db7d09596944e71981dac61eacc75e9a46ec957..0000000000000000000000000000000000000000 --- a/experiments/analysis/qualitative/qa.31.csv +++ /dev/null @@ -1,16 +0,0 @@ -relation_type,model,top_pred_and_bottom_gold,bottom_pred_and_top_gold -is competitor/rival of,flan-t5-xxl,[],[] -is competitor/rival of,opt-13b,"['Bashar al-Assad : Christianity', 'Olympic Games : Helicobacter pylori', 'Serena Williams : Andy Murray', 'Mikhail Khodorkovsky : Hezbollah']","['Netflix : Disney Plus', 'AWS : GCP']" -is competitor/rival of,davinci,['Olympic Games : Helicobacter pylori'],['Netflix : Disney Plus'] -is friend/ally of,flan-t5-xxl,"['Liam Gallagher : Noel Gallagher', 'Russia : Georgia', 'Armenia : Azerbaijan']","['Elsa : Anna', 'Aznar : Bush', 'Rishi Sunak : Joe Biden']" -is friend/ally of,opt-13b,"['Joseph Stalin : Josip Broz Tito', 'Sophia Loren : Marlon Brando', 'Armenia : Azerbaijan']","['Microsoft : LinkedIn', 'FTX : Alameda Research', 'Red Bull : GoPro', 'Aznar : Bush', 'Windows : Xbox', 'Rishi Sunak : Joe Biden']" -is friend/ally of,davinci,"['Walter White : Gus Fring', 'Joseph Stalin : Josip Broz Tito', 'Sophia Loren : Marlon Brando', 'Armenia : Azerbaijan']","['FTX : Alameda Research', 'Elsa : Anna', 'Aznar : Bush', 'Windows : Xbox', 'Rishi Sunak : Joe Biden']" -is influenced by,flan-t5-xxl,"['Luke Bryan : Hank Williams', 'James Brown : Michael Jackson', 'heavy metal : punk music', 'Harry Potter : Wizard of Oz']","['Prince Harry : Monarchy', 'trending music : TikTok', 'Wales : Westminster', 'Coca-Cola : Pepsi', 'Ethereum : Bitcoin', 'Apple Music : Spotify']" -is influenced by,opt-13b,"['Alicia Vikander : Richard Attenborough', 'Joe Biden : Donald Trump', 'Harry Potter : Wizard of Oz', 'Singaporean food : Malaysian food', 'James Brown : Michael Jackson']","['Prince Harry : Monarchy', 'trending music : TikTok', 'Wales : Westminster', 'European Union : Germany', 'Commonwealth : United Kingdom', 'English : William Shakespeare']" -is influenced by,davinci,"['Singaporean food : Malaysian food', 'James Brown : Michael Jackson', 'Alicia Vikander : Richard Attenborough', 'Harry Potter : Wizard of Oz']","['Prince Harry : Monarchy', 'trending music : TikTok', 'Commonwealth : United Kingdom', 'English : William Shakespeare']" -is known for,flan-t5-xxl,"['India : Gurkhas', 'France : rococo movement', 'Romania : Roman Catholicism', 'Belgium : wine']","['Harvey Weinstein : Miramax', 'France : cheese', 'Boris Johnson : Brexit', 'Europe : The Final Countdown', 'Jeff Goldblum : Jurassic Park']" -is known for,opt-13b,"['India : Gurkhas', 'Inglourious Basterds : Sergio Busquets', 'Sophie Turner : Sylvia Plath', 'Steve Jobs : AirPods', 'Coca-Cola : Pepsi', 'Rafael Nadal : Ralph Macchio', 'Pixar : Novosibirsk', 'Belgium : wine']","['Europe : The Final Countdown', 'OpenAI : ChatGPT', 'UK : rain', 'Jackson Pollock : action painting', 'Spain : olive oil', 'Valencia : paella']" -is known for,davinci,"['India : Gurkhas', 'Inglourious Basterds : Sergio Busquets', 'Sophie Turner : Sylvia Plath', 'Coca-Cola : Pepsi', 'Rafael Nadal : Ralph Macchio']","['OpenAI : ChatGPT', 'Bill Nye : scientist', 'UK : rain', 'Spain : olive oil', 'Valencia : paella']" -is similar to,flan-t5-xxl,"['New York : York', 'cannoli : canneloni', 'sphinx : sphynx', 'Gameboy : Nintendo']","['Shark : Bush', 'Suits : Law & Order']" -is similar to,opt-13b,"['Gisele Bündchen : Orson Welles', 'Eduardo Saverin : Guinea-Bissau', 'Nicolae Ceaușescu : Javier Hernández', ""Chess : Rubik's Cube"", 'sphinx : sphynx']","['pill : tablet', 'Great Britian : British Empire', 'fusilli : rotini', 'Shark : Bush', 'Minnesota : Wisconsin']" -is similar to,davinci,"['Gisele Bündchen : Orson Welles', 'Eduardo Saverin : Guinea-Bissau', 'Nicolae Ceaușescu : Javier Hernández', ""Chess : Rubik's Cube"", 'sphinx : sphynx']","['pill : tablet', 'Great Britian : British Empire', 'fusilli : rotini', 'Shark : Bush', 'PS5 : XBox', 'Cerave : Nivea', 'Minnesota : Wisconsin']" diff --git a/experiments/analysis/qualitative/qa.31.format.csv b/experiments/analysis/qualitative/qa.31.format.csv deleted file mode 100644 index a5e9396f95578fb9b517d8bd24490a732b532145..0000000000000000000000000000000000000000 --- a/experiments/analysis/qualitative/qa.31.format.csv +++ /dev/null @@ -1,53 +0,0 @@ -model,relation_type,top,bottom -Flan-T5 extsubscript{XXL},Ally,Liam Gallagher : Noel Gallagher,Elsa : Anna -Flan-T5 extsubscript{XXL},Ally,Russia : Georgia,Aznar : Bush -Flan-T5 extsubscript{XXL},Ally,Armenia : Azerbaijan,Rishi Sunak : Joe Biden -Flan-T5 extsubscript{XXL},Inf,Luke Bryan : Hank Williams,Prince Harry : Monarchy -Flan-T5 extsubscript{XXL},Inf,James Brown : Michael Jackson,trending music : TikTok -Flan-T5 extsubscript{XXL},Inf,heavy metal : punk music,Wales : Westminster -Flan-T5 extsubscript{XXL},Inf,Harry Potter : Wizard of Oz,Coca-Cola : Pepsi -Flan-T5 extsubscript{XXL},Know,India : Gurkhas,Harvey Weinstein : Miramax -Flan-T5 extsubscript{XXL},Know,France : rococo movement,France : cheese -Flan-T5 extsubscript{XXL},Know,Romania : Roman Catholicism,Boris Johnson : Brexit -Flan-T5 extsubscript{XXL},Know,Belgium : wine,Europe : The Final Countdown -Flan-T5 extsubscript{XXL},Sim,New York : York,Shark : Bush -Flan-T5 extsubscript{XXL},Sim,cannoli : canneloni,Suits : Law & Order -Flan-T5 extsubscript{XXL},Sim,sphinx : sphynx, -Flan-T5 extsubscript{XXL},Sim,Gameboy : Nintendo, -GPT-3 extsubscript{davinci},Ally,Walter White : Gus Fring,FTX : Alameda Research -GPT-3 extsubscript{davinci},Ally,Joseph Stalin : Josip Broz Tito,Elsa : Anna -GPT-3 extsubscript{davinci},Ally,Sophia Loren : Marlon Brando,Aznar : Bush -GPT-3 extsubscript{davinci},Ally,Armenia : Azerbaijan,Windows : Xbox -GPT-3 extsubscript{davinci},Inf,Singaporean food : Malaysian food,Prince Harry : Monarchy -GPT-3 extsubscript{davinci},Inf,James Brown : Michael Jackson,trending music : TikTok -GPT-3 extsubscript{davinci},Inf,Alicia Vikander : Richard Attenborough,Commonwealth : United Kingdom -GPT-3 extsubscript{davinci},Inf,Harry Potter : Wizard of Oz,English : William Shakespeare -GPT-3 extsubscript{davinci},Know,India : Gurkhas,OpenAI : ChatGPT -GPT-3 extsubscript{davinci},Know,Inglourious Basterds : Sergio Busquets,Bill Nye : scientist -GPT-3 extsubscript{davinci},Know,Sophie Turner : Sylvia Plath,UK : rain -GPT-3 extsubscript{davinci},Know,Coca-Cola : Pepsi,Spain : olive oil -GPT-3 extsubscript{davinci},Rival,Olympic Games : Helicobacter pylori,Netflix : Disney Plus -GPT-3 extsubscript{davinci},Sim,Gisele Bündchen : Orson Welles,pill : tablet -GPT-3 extsubscript{davinci},Sim,Eduardo Saverin : Guinea-Bissau,Great Britian : British Empire -GPT-3 extsubscript{davinci},Sim,Nicolae Ceaușescu : Javier Hernández,fusilli : rotini -GPT-3 extsubscript{davinci},Sim,Chess : Rubik's Cube,Shark : Bush -OPT extsubscript{13B},Ally,Joseph Stalin : Josip Broz Tito,Microsoft : LinkedIn -OPT extsubscript{13B},Ally,Sophia Loren : Marlon Brando,FTX : Alameda Research -OPT extsubscript{13B},Ally,Armenia : Azerbaijan,Red Bull : GoPro -OPT extsubscript{13B},Ally,,Aznar : Bush -OPT extsubscript{13B},Inf,Alicia Vikander : Richard Attenborough,Prince Harry : Monarchy -OPT extsubscript{13B},Inf,Joe Biden : Donald Trump,trending music : TikTok -OPT extsubscript{13B},Inf,Harry Potter : Wizard of Oz,Wales : Westminster -OPT extsubscript{13B},Inf,Singaporean food : Malaysian food,European Union : Germany -OPT extsubscript{13B},Know,India : Gurkhas,Europe : The Final Countdown -OPT extsubscript{13B},Know,Inglourious Basterds : Sergio Busquets,OpenAI : ChatGPT -OPT extsubscript{13B},Know,Sophie Turner : Sylvia Plath,UK : rain -OPT extsubscript{13B},Know,Steve Jobs : AirPods,Jackson Pollock : action painting -OPT extsubscript{13B},Rival,Bashar al-Assad : Christianity,Netflix : Disney Plus -OPT extsubscript{13B},Rival,Olympic Games : Helicobacter pylori,AWS : GCP -OPT extsubscript{13B},Rival,Serena Williams : Andy Murray, -OPT extsubscript{13B},Rival,Mikhail Khodorkovsky : Hezbollah, -OPT extsubscript{13B},Sim,Gisele Bündchen : Orson Welles,pill : tablet -OPT extsubscript{13B},Sim,Eduardo Saverin : Guinea-Bissau,Great Britian : British Empire -OPT extsubscript{13B},Sim,Nicolae Ceaușescu : Javier Hernández,fusilli : rotini -OPT extsubscript{13B},Sim,Chess : Rubik's Cube,Shark : Bush diff --git a/experiments/figures/fewshots/lc.is_average.fewshot.landscape.png b/experiments/figures/fewshots/lc.average.fewshot.landscape.png similarity index 100% rename from experiments/figures/fewshots/lc.is_average.fewshot.landscape.png rename to experiments/figures/fewshots/lc.average.fewshot.landscape.png diff --git a/experiments/figures/fewshots/lc.is_average.fewshot.png b/experiments/figures/fewshots/lc.average.fewshot.png similarity index 100% rename from experiments/figures/fewshots/lc.is_average.fewshot.png rename to experiments/figures/fewshots/lc.average.fewshot.png diff --git a/experiments/figures/fewshots/lc.is_competitor-rival_of.fewshot.landscape.png b/experiments/figures/fewshots/lc.competitor-rival_of.fewshot.landscape.png similarity index 100% rename from experiments/figures/fewshots/lc.is_competitor-rival_of.fewshot.landscape.png rename to experiments/figures/fewshots/lc.competitor-rival_of.fewshot.landscape.png diff --git 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a/experiments/figures/fewshots/lc.is_influenced_by.fewshot.landscape.png b/experiments/figures/fewshots/lc.influenced_by.fewshot.landscape.png similarity index 100% rename from experiments/figures/fewshots/lc.is_influenced_by.fewshot.landscape.png rename to experiments/figures/fewshots/lc.influenced_by.fewshot.landscape.png diff --git a/experiments/figures/fewshots/lc.is_influenced_by.fewshot.png b/experiments/figures/fewshots/lc.influenced_by.fewshot.png similarity index 100% rename from experiments/figures/fewshots/lc.is_influenced_by.fewshot.png rename to experiments/figures/fewshots/lc.influenced_by.fewshot.png diff --git a/experiments/figures/fewshots/lc.is_known_for.fewshot.landscape.png b/experiments/figures/fewshots/lc.known_for.fewshot.landscape.png similarity index 100% rename from experiments/figures/fewshots/lc.is_known_for.fewshot.landscape.png rename to experiments/figures/fewshots/lc.known_for.fewshot.landscape.png diff --git 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b/experiments/figures/fewshots/qa.competitor-rival_of.fewshot.png similarity index 100% rename from experiments/figures/fewshots/qa.is_competitor-rival_of.fewshot.png rename to experiments/figures/fewshots/qa.competitor-rival_of.fewshot.png diff --git a/experiments/figures/fewshots/qa.is_friend-ally_of.fewshot.landscape.png b/experiments/figures/fewshots/qa.friend-ally_of.fewshot.landscape.png similarity index 100% rename from experiments/figures/fewshots/qa.is_friend-ally_of.fewshot.landscape.png rename to experiments/figures/fewshots/qa.friend-ally_of.fewshot.landscape.png diff --git a/experiments/figures/fewshots/qa.is_friend-ally_of.fewshot.png b/experiments/figures/fewshots/qa.friend-ally_of.fewshot.png similarity index 100% rename from experiments/figures/fewshots/qa.is_friend-ally_of.fewshot.png rename to experiments/figures/fewshots/qa.friend-ally_of.fewshot.png diff --git a/experiments/figures/fewshots/qa.is_influenced_by.fewshot.landscape.png b/experiments/figures/fewshots/qa.influenced_by.fewshot.landscape.png similarity index 100% rename from experiments/figures/fewshots/qa.is_influenced_by.fewshot.landscape.png rename to experiments/figures/fewshots/qa.influenced_by.fewshot.landscape.png diff --git a/experiments/figures/fewshots/qa.is_influenced_by.fewshot.png b/experiments/figures/fewshots/qa.influenced_by.fewshot.png similarity index 100% rename from experiments/figures/fewshots/qa.is_influenced_by.fewshot.png rename to experiments/figures/fewshots/qa.influenced_by.fewshot.png diff --git a/experiments/figures/fewshots/qa.is_known_for.fewshot.landscape.png b/experiments/figures/fewshots/qa.known_for.fewshot.landscape.png similarity index 100% rename from experiments/figures/fewshots/qa.is_known_for.fewshot.landscape.png rename to experiments/figures/fewshots/qa.known_for.fewshot.landscape.png diff --git a/experiments/figures/fewshots/qa.is_known_for.fewshot.png b/experiments/figures/fewshots/qa.known_for.fewshot.png similarity index 100% rename from experiments/figures/fewshots/qa.is_known_for.fewshot.png rename to experiments/figures/fewshots/qa.known_for.fewshot.png diff --git a/experiments/figures/fewshots/qa.is_similar_to.fewshot.landscape.png b/experiments/figures/fewshots/qa.similar_to.fewshot.landscape.png similarity index 100% rename from experiments/figures/fewshots/qa.is_similar_to.fewshot.landscape.png rename to experiments/figures/fewshots/qa.similar_to.fewshot.landscape.png diff --git a/experiments/figures/fewshots/qa.is_similar_to.fewshot.png b/experiments/figures/fewshots/qa.similar_to.fewshot.png similarity index 100% rename from experiments/figures/fewshots/qa.is_similar_to.fewshot.png rename to experiments/figures/fewshots/qa.similar_to.fewshot.png diff --git a/experiments/figures/main/lc.average.landscape.png b/experiments/figures/main/lc.average.landscape.png new file mode 100644 index 0000000000000000000000000000000000000000..fcf125d9188b8dd383da29800c37aeb92fabe30c --- 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b/experiments/figures/main/lc.competitor-rival_of.png similarity index 100% rename from experiments/figures/main/lc.is_competitor-rival_of.png rename to experiments/figures/main/lc.competitor-rival_of.png diff --git a/experiments/figures/main/lc.friend-ally_of.landscape.png b/experiments/figures/main/lc.friend-ally_of.landscape.png new file mode 100644 index 0000000000000000000000000000000000000000..5f66571a5d552c35652dcbcdbf346a931488e15c --- /dev/null +++ b/experiments/figures/main/lc.friend-ally_of.landscape.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f4d4a13f35d26797f7f18df2a4b7ffd2cef9c0313a09fcce2b444110382e421a +size 351097 diff --git a/experiments/figures/main/lc.is_friend-ally_of.png b/experiments/figures/main/lc.friend-ally_of.png similarity index 100% rename from experiments/figures/main/lc.is_friend-ally_of.png rename to experiments/figures/main/lc.friend-ally_of.png diff --git a/experiments/figures/main/lc.influenced_by.landscape.png b/experiments/figures/main/lc.influenced_by.landscape.png new file mode 100644 index 0000000000000000000000000000000000000000..52676394fd2ffb5fef8b85c524acc5647cf21357 --- /dev/null +++ b/experiments/figures/main/lc.influenced_by.landscape.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b0f9ee0aa1ea8a52c641d66727933976a58c7f4aeec8b3e96a36bd6992ff9725 +size 350661 diff --git a/experiments/figures/main/lc.is_influenced_by.png b/experiments/figures/main/lc.influenced_by.png similarity index 100% rename from experiments/figures/main/lc.is_influenced_by.png rename to experiments/figures/main/lc.influenced_by.png diff --git a/experiments/figures/main/lc.known_for.landscape.png b/experiments/figures/main/lc.known_for.landscape.png new file mode 100644 index 0000000000000000000000000000000000000000..e5a57752460a86e705d8b8b5231ad556f4cc07bc --- /dev/null +++ b/experiments/figures/main/lc.known_for.landscape.png @@ -0,0 +1,3 @@ +version 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rename to experiments/figures/main/lc.similar_to.png diff --git a/experiments/figures/main/qa.average.landscape.png b/experiments/figures/main/qa.average.landscape.png new file mode 100644 index 0000000000000000000000000000000000000000..395c2a11ff294790bd822cf4ad2c248f1d866e9e --- /dev/null +++ b/experiments/figures/main/qa.average.landscape.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1e7c31998c85ab64f20321abafae8da07788698ccb12cadbcd4cf03ce8fafc8c +size 284975 diff --git a/experiments/figures/main/qa.is_average.png b/experiments/figures/main/qa.average.png similarity index 100% rename from experiments/figures/main/qa.is_average.png rename to experiments/figures/main/qa.average.png diff --git a/experiments/figures/main/qa.competitor-rival_of.landscape.png b/experiments/figures/main/qa.competitor-rival_of.landscape.png new file mode 100644 index 0000000000000000000000000000000000000000..09977f0d4376845a6456e3c4d1933fa73b36cc99 --- /dev/null +++ b/experiments/figures/main/qa.competitor-rival_of.landscape.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ce3ecbee98ae4f5a128e0306eae6090dcaafdfa92867a9c520a61f61138bdb8f +size 263780 diff --git a/experiments/figures/main/qa.is_competitor-rival_of.png b/experiments/figures/main/qa.competitor-rival_of.png similarity index 100% rename from experiments/figures/main/qa.is_competitor-rival_of.png rename to experiments/figures/main/qa.competitor-rival_of.png diff --git a/experiments/figures/main/qa.friend-ally_of.landscape.png b/experiments/figures/main/qa.friend-ally_of.landscape.png new file mode 100644 index 0000000000000000000000000000000000000000..deb1aea94953eff36efab7fc6420bfe1c660fec2 --- /dev/null +++ b/experiments/figures/main/qa.friend-ally_of.landscape.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:164c8eb72b1840aa425154674d02ac7104ea613f219c08315b7f35061139075d +size 272837 diff --git a/experiments/figures/main/qa.is_friend-ally_of.png b/experiments/figures/main/qa.friend-ally_of.png similarity index 100% rename from experiments/figures/main/qa.is_friend-ally_of.png rename to experiments/figures/main/qa.friend-ally_of.png diff --git a/experiments/figures/main/qa.influenced_by.landscape.png b/experiments/figures/main/qa.influenced_by.landscape.png new file mode 100644 index 0000000000000000000000000000000000000000..ad1b374cc4a7af011fd8ec18c0291716d577f349 --- /dev/null +++ b/experiments/figures/main/qa.influenced_by.landscape.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fcb1ec32c56cf0ed68cd3e8648a9329ccd91185275d53def12a77e5705a2ebf7 +size 313032 diff --git a/experiments/figures/main/qa.is_influenced_by.png b/experiments/figures/main/qa.influenced_by.png similarity index 100% rename from experiments/figures/main/qa.is_influenced_by.png rename to experiments/figures/main/qa.influenced_by.png diff --git a/experiments/figures/main/qa.known_for.landscape.png b/experiments/figures/main/qa.known_for.landscape.png new file mode 100644 index 0000000000000000000000000000000000000000..dc2931f4a2ae81a6c7c2306fb574d36086722d41 --- /dev/null +++ b/experiments/figures/main/qa.known_for.landscape.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5f99cae686ce5158dd5c3c47b2b4cacef3866af28edff27cba30e5263639c22b +size 304766 diff --git a/experiments/figures/main/qa.is_known_for.png b/experiments/figures/main/qa.known_for.png similarity index 100% rename from experiments/figures/main/qa.is_known_for.png rename to experiments/figures/main/qa.known_for.png diff --git a/experiments/figures/main/qa.similar_to.landscape.png b/experiments/figures/main/qa.similar_to.landscape.png new file mode 100644 index 0000000000000000000000000000000000000000..24070b0a255de151da0a2cad1cb0616dfd8f3536 --- /dev/null +++ b/experiments/figures/main/qa.similar_to.landscape.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f016ecf4b968724216916093cedacf0eb1430c425a235259fbe8d77413d1e066 +size 285754 diff --git a/experiments/figures/main/qa.is_similar_to.png b/experiments/figures/main/qa.similar_to.png similarity index 100% rename from experiments/figures/main/qa.is_similar_to.png rename to experiments/figures/main/qa.similar_to.png diff --git a/experiments/analysis/flan_ul2_additional_analysis.py b/experiments/flan_ul2_additional_analysis.py similarity index 80% rename from experiments/analysis/flan_ul2_additional_analysis.py rename to experiments/flan_ul2_additional_analysis.py index cb68631156b411009e10f107af1789fed4f6d79d..1c730394197b26d581e761c1fb1f1225764a93f8 100644 --- a/experiments/analysis/flan_ul2_additional_analysis.py +++ b/experiments/flan_ul2_additional_analysis.py @@ -4,8 +4,8 @@ from glob import glob import pandas as pd from datasets import load_dataset -os.makedirs("analysis/flan_ul2_additional_analysis", exist_ok=True) -data = load_dataset("cardiffnlp/relentless_full", split="test") +os.makedirs("results/flan_ul2_additional_analysis", exist_ok=True) +data = load_dataset("cardiffnlp/relentless", split="test") data = {i['relation_type']: i for i in data} pred_zero = {} @@ -15,7 +15,7 @@ for i in glob("results/lm_qa_zeroshot/flan-ul2/*.jsonl"): pred_zero[r] = [json.loads(l)['perplexity'] for l in f.read().split("\n")] pred_few = {} -for i in glob("results/lm_qa_1shots_1seed/flan-ul2/*.jsonl"): +for i in glob("results/lm_qa_1shots_0seed/flan-ul2/*.jsonl"): r = os.path.basename(i).replace("__", "/").replace("_", " ").replace("ppl.", "").replace("is ", "").replace(".jsonl", "") with open(i) as f: pred_few[r] = [json.loads(l)['perplexity'] for l in f.read().split("\n")] @@ -35,4 +35,4 @@ for k, v in data.items(): "rank_zeroshot": get_rank(pred_zero[k]), "rank_true": v["ranks"], }) - df.to_csv(f"analysis/flan_ul2_additional_analysis/{k[:4]}.csv", index=False) + df.to_csv(f"results/flan_ul2_additional_analysis/{k[:4]}.csv", index=False) diff --git a/experiments/plot.py b/experiments/plot.py index 084354566c20eca9836a90ade60996f614d96329..65a788f6086215829162bb9cdbce479acdb23d2d 100644 --- a/experiments/plot.py +++ b/experiments/plot.py @@ -75,9 +75,8 @@ def main(target_relation: str = "average", prompt_type: str = "lc"): ax.legend().remove() else: ax.legend(loc='best') - # ax.legend(loc='center left', bbox_to_anchor=(1, 0.5)) plt.tight_layout() - plt.savefig(f"figures/main/{prompt_type}.is_{target_relation.replace(' ', '_').replace('/', '-')}.png", bbox_inches="tight", dpi=600) + plt.savefig(f"figures/main/{prompt_type}.{target_relation.replace(' ', '_').replace('/', '-')}.png", bbox_inches="tight", dpi=600) if __name__ == '__main__': diff --git a/experiments/plot_fewshot.py b/experiments/plot_fewshot.py index d6363372de5dd9df9a192784ea09f6bc3f5461ba..3d740b677f33dcbd5ddb03ce74a4e7dd603307ae 100644 --- a/experiments/plot_fewshot.py +++ b/experiments/plot_fewshot.py @@ -58,5 +58,5 @@ for prompt in ['qa', 'lc']: else: ax.legend(loc='lower right') plt.tight_layout() - plt.savefig(f"figures/fewshots/{prompt}.is_{r.replace(' ', '_').replace('/', '-')}.fewshot.png", bbox_inches="tight", dpi=600) + plt.savefig(f"figures/fewshots/{prompt}.{r.replace(' ', '_').replace('/', '-')}.fewshot.png", bbox_inches="tight", dpi=600) diff --git a/experiments/plot_fewshot_landscape.py b/experiments/plot_fewshot_landscape.py index a02187ea0a64284b853f950fbfe3b08557ad1e92..9b5b8c2d2abcffafc7ab335f92cf19b79c32e12b 100644 --- a/experiments/plot_fewshot_landscape.py +++ b/experiments/plot_fewshot_landscape.py @@ -55,5 +55,5 @@ for prompt in ['qa', 'lc']: ax.set_xticks([0, 1, 3, 5]) ax.legend(loc='lower right') plt.tight_layout() - plt.savefig(f"figures/fewshots/{prompt}.is_{r.replace(' ', '_').replace('/', '-')}.fewshot.landscape.png", bbox_inches="tight", dpi=600) + plt.savefig(f"figures/fewshots/{prompt}.{r.replace(' ', '_').replace('/', '-')}.fewshot.landscape.png", bbox_inches="tight", dpi=600) diff --git a/experiments/plot_landscape.py b/experiments/plot_landscape.py index 4fd77fe6cb8936f5a9ccb9a0e7aa8f9e52cd925e..8cef3474f7d9bcb261a0711d34a2406c012a47a1 100644 --- a/experiments/plot_landscape.py +++ b/experiments/plot_landscape.py @@ -30,15 +30,15 @@ model_size = { lm_list = ['T5', 'Flan-T5', 'OPT', 'OPT-IML'] # Oracle -df_oracle = pd.read_csv("experiments/results/oracle.csv", index_col=0) +df_oracle = pd.read_csv("results/oracle.csv", index_col=0) # Plot -os.makedirs('experiments/figures/main', exist_ok=True) +os.makedirs('figures/main', exist_ok=True) plt.rcParams.update({'font.size': 16}) # must set in top def main(target_relation: str = "average", prompt_type: str = "lc"): - df = pd.read_csv(f"experiments/results/lm_{prompt_type}/lm.csv") + df = pd.read_csv(f"results/lm_{prompt_type}/lm.csv") df.index = df.pop("model") df = (df * 100).round(1) df = df[[i in model_size for i in df.index]] @@ -64,14 +64,14 @@ def main(target_relation: str = "average", prompt_type: str = "lc"): # ax.legend(loc='center left', bbox_to_anchor=(1, 0.5)) plt.tight_layout() - plt.savefig(f"experiments/figures/main/{prompt_type}.{target_relation.replace(' ', '_').replace('/', '-')}.landscape.png", bbox_inches="tight", dpi=600) + plt.savefig(f"figures/main/{prompt_type}.{target_relation.replace(' ', '_').replace('/', '-')}.landscape.png", bbox_inches="tight", dpi=600) if __name__ == '__main__': for p in ['lc', 'qa']: main('average', p) - main("is competitor/rival of", p) - main("is friend/ally of", p) - main("is influenced by", p) - main("is known for", p) - main("is similar to", p) + main("competitor/rival of", p) + main("friend/ally of", p) + main("influenced by", p) + main("known for", p) + main("similar to", p) diff --git a/experiments/results/flan_ul2_additional_analysis/comp.csv b/experiments/results/flan_ul2_additional_analysis/comp.csv new file mode 100644 index 0000000000000000000000000000000000000000..8a3088b529360bb035f792045377184316f5deb4 --- /dev/null +++ b/experiments/results/flan_ul2_additional_analysis/comp.csv @@ -0,0 +1,90 @@ +pairs,score_fewshot,score_zeroshot,score_true,rank_fewshot,rank_zeroshot,rank_true +"['Jeremy Corbyn', 'Keir Starmer']",2.5054050426398784,1.4222025149293618,4.142857074737549,51,58,37 +"['EuroBasket 2022', 'Murad III']",4.309828196521226,2.3454037993300583,1.2857142686843872,72,76,84 +"['Bugatti', 'Lamborghini']",1.3981640140293563,1.1581703913669972,2.857142925262451,23,29,60 +"['Apple', 'Microsoft']",1.2275206545128392,1.116980313466796,4.857142925262451,9,20,11 +"['Lee Chong Wei', 'Lin Dan']",1.6413210384606873,1.2366011532822951,4.142857074737549,32,37,37 +"['Microsoft', 'Google']",1.1497194064692269,1.0906696582667166,4.4285712242126465,3,15,24 +"['Samsung', 'Pitbull']",4.6043208693629625,2.8062127386926976,1.2857142686843872,74,81,84 +"['Cristiano Ronaldo', 'Lionel Messi']",1.7924631688668162,1.076442896033145,4.857142925262451,37,14,11 +"['Germany', 'Austria']",1.922682473427117,1.1516096930453659,2.2857143878936768,41,27,67 +"['Dyson', 'Dualit']",2.314356716121875,1.4066400229807077,2.7142856121063232,48,57,64 +"['Netflix', 'Disney Plus']",1.3753552421582393,1.233603087311407,4.5714287757873535,21,36,19 +"['PyTorch', 'TensorFlow']",1.3672994237826923,1.2808253965315133,4.4285712242126465,20,44,24 +"['Dell', 'HP']",1.0915600269025794,1.0416585847044884,5.0,1,3,3 +"['Sanpellegrino', 'Volvic']",3.2617643541640815,1.3447474634198389,3.5714285373687744,67,52,51 +"['Mikhail Khodorkovsky', 'Hezbollah']",4.816696698176535,2.4170384926741626,1.4285714626312256,75,78,77 +"['British Airways', 'Aer Lingus']",1.317719549976474,1.1037129775740366,4.142857074737549,16,18,37 +"['Microsoft Teams', 'Slack']",1.261800330104859,1.0557504472617725,4.857142925262451,12,11,11 +"['Federal Reserve Board', 'Bank of England']",2.512327248338375,1.8141170517333125,2.857142925262451,53,69,60 +"['American Psycho', 'Chihuahua']",5.720655544695763,1.9418134795261126,1.2857142686843872,85,71,84 +"['Mars', 'Snickers']",2.052264289557186,1.4256724727393357,3.4285714626312256,44,59,54 +"['ASML', 'LAM Research']",1.5398275923282265,1.8641223203372959,4.142857074737549,31,70,37 +"['Jake Paul', 'Tangled']",5.1082006333190995,2.396226404066843,1.2857142686843872,79,77,84 +"['Nikhita Khrushchev', 'Leonid Brezhnev']",3.1230509611972406,1.4714526914342227,3.4285714626312256,64,61,54 +"['Razer', 'Dell']",1.5108460287551244,1.0495182657911724,4.142857074737549,28,9,37 +"['Spotify', 'Apple']",1.2677358400496452,1.1535822949864265,4.0,14,28,43 +"['Kourtney Kardashian', 'Jenna Fischer']",5.114171171573231,2.1953277578209183,2.142857074737549,80,74,69 +"['Twitter', 'WhatsApp']",1.7000670009695336,1.4379288274666722,3.0,36,60,58 +"['Manchester United', 'Arsenal']",1.288784519299688,1.0723828530634452,4.142857074737549,15,13,37 +"['WeChat', 'WhatsApp']",1.64870756189045,1.2416368997951348,4.4285712242126465,33,38,24 +"['Saudi Arabia', 'Israel']",1.8315257969993983,1.1452641071432148,4.285714149475098,39,24,29 +"['Bashar al-Assad', 'Christianity']",4.196573985107116,2.1672732394398393,1.2857142686843872,71,73,84 +"['Didier Deschamps', 'Scott Adkins']",3.220520614077468,1.7735129268342826,1.4285714626312256,66,68,77 +"['Lionel Messi', 'Kylian Mbappé']",2.5096010983070243,1.2661665197380474,2.857142925262451,52,43,60 +"['Louis Philippe', 'Peter England']",3.5805622740477046,1.351565809742223,2.0,70,53,71 +"['Steve Jobs', 'Atlanta']",5.567893613836706,3.540538692893887,1.2857142686843872,84,88,84 +"['Bella Hadid', 'Choi Woo-shik']",5.837202797028847,2.6104166628925474,1.4285714626312256,86,80,77 +"['Mali', 'Frances McDormand']",5.384683120608575,2.884401969312326,1.2857142686843872,82,83,84 +"['Coca-Cola Company', 'Pepsi']",1.423681585365021,1.0438806211708804,5.0,24,5,3 +"['Khabib Nurmagomedov', 'Conor McGregor']",1.168200568880505,1.0354933291081991,4.857142925262451,5,1,11 +"['Twitter', 'Facebook']",1.443415016426229,1.1952468266881626,4.285714149475098,26,33,29 +"['Cardiff University', 'Swansea University']",1.8261891855012786,1.203303933183536,4.142857074737549,38,34,37 +"['Isaac Newton', 'Gottfried Leibniz']",2.6580487193450812,1.3553361325661701,4.285714149475098,57,54,29 +"['Casio', 'Texas Instruments']",1.6507923636347177,1.1835395036039162,4.142857074737549,34,32,37 +"['Arsenal', 'Tottenham Hotspur']",1.1755004191000196,1.0591720732323784,4.857142925262451,7,12,11 +"['Nintendo', 'Xbox']",1.328788987568177,1.0998882844596016,4.285714149475098,17,17,29 +"['H&M', 'Zalora']",1.5049155224826745,1.359639423903739,4.0,27,55,43 +"['Serena Williams', 'Andy Murray']",1.245928769573111,1.0459443108429878,2.2857143878936768,11,7,67 +"['Liverpool FC', 'Manchester United']",1.1727266941793855,1.0449462333912818,5.0,6,6,3 +"['Apple', 'Samsung']",1.1541451547920842,1.04769222313876,4.857142925262451,4,8,11 +"['Expedia', 'Trivago']",1.2635778709227727,1.1483506089912217,2.857142925262451,13,26,60 +"['Heathrow Airport', 'Gatwick Airport']",1.3357227754189809,1.1256792359957808,3.857142925262451,18,21,46 +"['Mario', 'Bowser']",3.14959695598788,1.2529699295998475,4.5714287757873535,65,41,19 +"['US', 'China']",2.3247819757177757,1.2532725062626966,4.857142925262451,49,42,11 +"['Olympic Games', 'Helicobacter pylori']",7.37653934715647,3.3511833150794743,1.2857142686843872,87,86,84 +"['BMW', 'Mercedes-Benz']",1.1251171394838868,1.036298820976043,4.857142925262451,2,2,11 +"['Blur', 'Oasis']",2.108450633966055,1.3052386699396863,4.4285712242126465,45,46,24 +"['Israel', 'Palestine']",1.8981899812834107,1.1457000668046726,5.0,40,25,3 +"['Toshiba', 'LG']",1.5129641732454884,1.163162197987383,4.4285712242126465,29,30,24 +"['Apple', 'Rolex']",2.0181992591404967,1.55752033597564,2.7142856121063232,43,66,64 +"['Tesla', 'Skoda']",1.43649578851061,1.4840326440929967,3.4285714626312256,25,63,54 +"['Thomas Jefferson', 'Alexander Hamilton']",2.7364289999759426,1.322868915838166,4.142857074737549,59,49,37 +"['Chester FC', 'Wrexham FC']",1.5334888418405148,1.1432810093172319,4.5714287757873535,30,23,19 +"['Line of Duty', 'CSI']",3.01029375863041,1.517484179767383,3.7142856121063232,62,65,48 +"['Gladiator', 'Imelda Staunton']",5.002112985309699,3.4826074368903637,1.2857142686843872,78,87,84 +"['UK', 'France']",3.3998673133408617,1.3125181354740607,2.5714285373687744,69,48,66 +"['Nike', 'Adidas']",1.3536116772869842,1.0528324898144443,4.857142925262451,19,10,11 +"['Alain Prost', 'Ayrton Senna']",1.6862336215379696,1.1037874996569803,4.285714149475098,35,19,29 +"['Manchester City', 'Manchester United']",1.0870939198673084,1.042690282562067,4.857142925262451,0,4,11 +"['BBC', 'The Guardian']",2.5223660327101576,1.3234590754937028,3.7142856121063232,54,50,48 +"['Amazon', 'Ebay']",1.2346846687140058,1.1408217207337337,4.5714287757873535,10,22,19 +"['Sir Alex Ferguson', 'Jose Mourinho']",2.2043946964985652,1.3362973630326773,3.2857143878936768,47,51,56 +"['ASEAN', 'Helen Hunt']",5.244497726043538,3.295957018142525,1.2857142686843872,81,85,84 +"['Hans Zimmer', 'John Williams']",2.6216548358171985,1.245920637785629,3.2857143878936768,56,39,56 +"['Noel Gallagher', 'Liam Gallaguer']",1.9883356663902403,1.2467042808942606,4.0,42,40,43 +"[""McDonald's"", 'Burger King']",1.1942740534515446,1.0334133820827456,5.0,8,0,3 +"['Neoclassicism', 'Romanticism']",2.9581056176186435,1.3743393007605533,3.857142925262451,60,56,46 +"['Royal Feast', 'Fast X']",2.695617900643465,1.309691642758208,1.5714285373687744,58,47,74 +"['Eminem', 'MGK']",2.185697319457217,1.4744226711936121,4.285714149475098,46,62,29 +"['Sprite', '7 Up']",2.5481235180846835,1.212745195228596,5.0,55,35,3 +"['Katharine Hepburn', 'Abrahamic religion']",9.570305090472242,3.0833799818271994,2.0,88,84,71 +"['Martin Luther King Jr.', 'Malcolm X']",3.119627709210078,1.6853565210199075,3.5714285373687744,63,67,51 +"['Ligue 1', 'Hayley Atwell']",4.872242327007951,2.5542050524768216,1.2857142686843872,76,79,84 +"['Vikram', 'Coen brothers']",5.46585880925486,2.8249661298246354,1.5714285373687744,83,82,74 +"['Russia', 'China']",2.47713158923915,1.3004875998162657,2.7142856121063232,50,45,64 +"['Mohamed Salah', 'Korea']",4.917555632934283,1.955964256984248,1.5714285373687744,77,72,74 +"['Kingston', 'Samsung']",3.310632119927607,1.1773256866493471,3.5714285373687744,68,31,51 +"['AWS', 'GCP']",1.387821491282624,1.0957580666384157,4.714285850524902,22,16,17 +"['Beatles', 'Rolling Stones']",3.000307635241466,1.512356439122218,4.0,61,64,43 +"['John Tyler', 'Whig Party']",4.554650530605198,2.3251733241314745,2.0,73,75,71 diff --git a/experiments/results/flan_ul2_additional_analysis/frie.csv b/experiments/results/flan_ul2_additional_analysis/frie.csv new file mode 100644 index 0000000000000000000000000000000000000000..eba8d3b21424a9aef0a1d1876351fb12835d0b3f --- /dev/null +++ b/experiments/results/flan_ul2_additional_analysis/frie.csv @@ -0,0 +1,93 @@ +pairs,score_fewshot,score_zeroshot,score_true,rank_fewshot,rank_zeroshot,rank_true +"['Rishi Sunak', 'Leo Varadkar']",1.8745743305026898,1.5328972126014884,4.0,22,38,36 +"['Gondor', 'Rohan']",1.547410230183052,1.3200803632378275,4.285714149475098,7,10,24 +"['FIFA', 'UEFA']",1.8601838471488965,1.577544267205364,3.7142856121063232,21,46,46 +"['Joseph Stalin', 'Josip Broz Tito']",3.4109425925809616,1.7933325159421711,1.8571428060531616,76,57,74 +"['Hillary Clinton', 'Barack Obama']",1.5239015529180413,1.3201421701192426,4.285714149475098,6,11,24 +"['Di Maio', 'Salvini']",2.2721448401343936,1.337838952235684,2.4285714626312256,36,13,66 +"['Yahoo', 'Yahoo Japan']",1.5222072597182084,1.3426315225376397,4.5714287757873535,5,14,12 +"['Armenia', 'Azerbaijan']",2.5939852328960775,2.019560002782508,1.2857142686843872,48,69,85 +"['Doja Cat', 'Anthony Albanese']",2.7925708911375096,2.285112189877014,1.2857142686843872,55,77,85 +"['Pedro Sánchez', 'Pablo Iglesias']",2.3213870515558295,1.5763126396850815,3.857142925262451,40,45,41 +"['Islamic State', 'Denys Prokopenko']",5.378523082216302,2.7434138522858,1.8571428060531616,87,84,74 +"['Brazil', 'India']",2.774780345997216,1.5445218908976759,3.4285714626312256,53,42,54 +"['Extinction Rebellion', 'Greta Thunberg']",2.6949934434569807,1.7988221620291822,4.714285850524902,50,58,8 +"['Sicily', 'Calabria']",1.9129885017587558,1.7086696805448425,4.0,24,52,36 +"['Oman', 'Iran']",2.9670962480147796,1.8344885935861346,3.4285714626312256,59,62,54 +"['Sony', 'ZEISS']",2.7021796583861115,1.4926095846618708,3.857142925262451,51,34,41 +"['FTX', 'Alameda Research']",3.4059919788309463,1.8468702122489273,4.714285850524902,74,64,8 +"['UK', 'Commonwealth']",1.6935460642808724,1.3116195554924144,4.714285850524902,11,9,8 +"['Australia', 'New Zealand']",1.799573489292502,1.1996322618593351,4.857142925262451,19,4,4 +"['Kylo Ren', 'Rey']",4.730349388909229,2.2496602704508817,3.857142925262451,86,76,41 +"['Anne Boleyn', 'Columbia Pictures']",2.8881106838766155,3.1023535131377296,1.5714285373687744,58,89,77 +"['KGB', 'CIA']",3.1965769251049667,1.9175389761631927,1.1428571939468384,67,66,90 +"['Rishi Sunak', 'Joe Biden']",1.6567048489506737,1.4530706574347767,4.285714149475098,10,32,24 +"['Quentin Tarantino', 'Edgar Wright']",1.5923169270556126,1.5630134648523961,4.142857074737549,9,44,31 +"['Keir Starmer', 'Jeremy Corbyn']",1.9958313139515222,1.6027956172293558,2.5714285373687744,28,48,65 +"['U.S.S.R.', 'East Germany']",2.3395774607344544,1.7490046671657096,4.5714287757873535,42,54,12 +"['Harry Potter', 'Severus Snape']",2.835789806911329,2.1374828361920906,3.2857143878936768,56,73,59 +"['Tata Motors', 'Jaguar']",3.2645597024389574,1.5440595393249203,4.714285850524902,72,41,8 +"['Kendall Jenner', 'Bergen']",3.2495189513125,2.107965967178699,1.2857142686843872,70,72,85 +"['Thomas Jefferson', 'Kid Cudi']",3.4343120315791578,3.5699412974829463,1.4285714626312256,77,91,79 +"['South Korea', 'Japan']",3.2084105434277217,1.358307886737753,3.2857143878936768,68,17,59 +"['Spain', 'Portugal']",2.242174696111792,1.4030445224268684,4.5714287757873535,35,23,12 +"['Liam Gallagher', 'Noel Gallagher']",1.428242484891731,1.1880720173877841,2.0,3,2,72 +"['France', 'Belgium']",2.1495651889562515,1.263730412056352,5.0,32,6,1 +"['Turkish Airlines', 'All Nippon Airways']",1.995466970230535,1.8020300914000285,3.4285714626312256,27,59,54 +"['Malaysia', 'Singapore']",2.278491830543572,1.421034738582978,4.4285712242126465,38,28,17 +"['JP Morgan', 'Morgan Stanley']",3.1479626220324053,1.6147051197573883,2.7142856121063232,66,49,63 +"['Sophia Loren', 'Marlon Brando']",2.6522093172042496,1.5278672802298314,2.142857074737549,49,37,69 +"['J.R.R. Tolkien', 'C.S. 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b/experiments/results/flan_ul2_additional_analysis/know.csv @@ -0,0 +1,109 @@ +pairs,score_fewshot,score_zeroshot,score_true,rank_fewshot,rank_zeroshot,rank_true +"['Hawaii', 'ukulele']",2.0379885080276736,1.6141553237135906,4.4285712242126465,55,50,35 +"['Paris', 'Eiffel Tower']",1.6516645695078804,1.549073112637212,5.0,24,37,3 +"['Sweden', 'pop']",2.8935680038817995,1.599112336564866,3.4285714626312256,94,49,64 +"['Memphis Depay', 'Mendelian inheritance']",4.433216931616718,2.7539158748346066,1.0,105,105,103 +"['France', 'beaches']",2.0120074980914664,1.7211045184289022,2.2857143878936768,53,68,80 +"['France', 'cars']",2.2041304826944175,1.577197902525235,3.142857074737549,62,44,70 +"['Alphabet Inc.', 'Google']",1.6412349989165158,1.4982438958353133,5.0,23,28,3 +"['Vincent Van Gogh', 'The Starry Night']",1.1529951921784258,1.4038491705190446,4.5714287757873535,1,9,26 +"['Italy', 'Hawaiian pizza']",2.4360520426756067,1.6829345832720786,1.2857142686843872,68,62,95 +"['Japan', 'glass 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b/experiments/results/flan_ul2_additional_analysis/simi.csv new file mode 100644 index 0000000000000000000000000000000000000000..a474d5f57bff926ad1dfb898505f5decf7d8d4b3 --- /dev/null +++ b/experiments/results/flan_ul2_additional_analysis/simi.csv @@ -0,0 +1,94 @@ +pairs,score_fewshot,score_zeroshot,score_true,rank_fewshot,rank_zeroshot,rank_true +"['pill', 'tablet']",2.787594142476719,1.0963185810651779,4.857142925262451,21,0,10 +"['Eduardo Saverin', 'Guinea-Bissau']",11.848144897715358,4.052577211867362,1.0,87,89,90 +"['Dionysus', 'Toyota Corolla']",8.916061293118249,3.4564230570493915,1.1428571939468384,84,87,86 +"['Great Britian', 'British Empire']",3.7412895492342257,1.272809779852253,4.5714287757873535,40,28,23 +"['English', 'Persian']",5.0889122727160645,1.6148763949051825,2.0,61,57,70 +"['Chess', ""Rubik's Cube""]",3.779193733187733,1.879439692861986,2.142857074737549,42,67,68 +"['Star Wars', 'Star Trek']",1.9130807485899026,1.4347979273272462,4.285714149475098,4,50,35 +"['Anne 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'Javascript']",2.1648758313155447,1.1638525989865072,3.142857074737549,9,7,63 +"['bourbon', 'Scotch whisky']",3.424470627520201,1.2018479334928887,4.4285712242126465,34,17,30 +"['Alaska', 'Canada']",6.216817438978349,2.051522647924928,4.142857074737549,74,74,41 +"['Spain', 'Italy']",6.799897570483498,1.2304383339125753,4.285714149475098,78,19,35 +"['banana', 'plantain']",4.590611689448974,1.239858409557863,4.714285850524902,56,24,16 +"['Firefox', 'Chrome']",2.323313066984885,1.2388581155089609,4.857142925262451,11,23,10 +"['Pecorino Romano', 'Parmesan']",2.8646266304266486,1.1561388450582295,4.5714287757873535,23,4,23 +"['Ligue 1', 'Bundesliga']",3.865625472835201,1.23614659258189,5.0,45,21,3 +"['Netflix', 'Amazon Prime Video']",2.8743441261925944,1.1320119721227202,4.5714287757873535,24,2,23 +"['Primark', 'Shein']",5.762877002251481,1.3975065558414137,4.4285712242126465,68,45,30 +"[""Dominos' Pizza"", 'Pizza Hut']",3.279488276633316,1.1959740216706212,4.857142925262451,31,14,10 +"['South Africa', 'Bhagavad Gita']",12.20926245667213,3.0240732935848014,1.0,89,85,90 +"['Germany', 'France']",5.258700046586312,1.2762333438571687,3.4285714626312256,64,31,59 +"['Kindle', 'Jeff Bezos']",3.3310858446251417,1.2458504058572832,1.5714285373687744,33,26,75 +"['Harry Potter', 'Lord of the Rings']",2.677213611582014,1.5231994501082553,4.142857074737549,17,55,41 +"['Yakutia', 'Turkey']",7.832086656435432,1.9136274793204298,1.8571428060531616,81,68,71 +"['PS5', 'XBox']",3.5737521830664614,1.2867747741997058,5.0,35,33,3 +"['Monet', 'Manet']",2.1074790251044773,1.1854059397722165,4.0,8,13,46 +"['Glastonbury', 'Roskilde']",5.063006118878485,2.0309699733249644,4.4285712242126465,60,72,30 +"['Telugu', 'Tamil']",4.954002742720548,1.200778959518929,3.857142925262451,59,16,51 +"['Batman', 'Superman']",1.5826506232762976,1.2740821846390384,4.0,2,29,46 +"['cannoli', 'canneloni']",1.6520438304263976,1.3014626400370175,1.8571428060531616,3,35,71 +"['Gerald Ford', 'Duran Duran']",7.138901311201049,2.1149843195939737,1.4285714626312256,79,76,79 diff --git a/experiments/results/lm_lc/opt-125m/ppl.competitor__rival_of.jsonl b/experiments/results/lm_lc/opt-125m/ppl.competitor__rival_of.jsonl deleted file mode 100644 index 101b5baa23751e880bcaae68cbe0b82149a997c5..0000000000000000000000000000000000000000 --- a/experiments/results/lm_lc/opt-125m/ppl.competitor__rival_of.jsonl +++ /dev/null @@ -1,89 +0,0 @@ -{"perplexity": 26.98415761954941, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Jeremy Corbyn\", \"Keir Starmer\"]", "output": ""} -{"perplexity": 41.7108998395821, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"EuroBasket 2022\", \"Murad III\"]", "output": ""} -{"perplexity": 27.402594877782736, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Bugatti\", \"Lamborghini\"]", "output": ""} -{"perplexity": 28.30474614959504, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Apple\", \"Microsoft\"]", "output": ""} -{"perplexity": 37.80031904862684, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Lee Chong Wei\", \"Lin Dan\"]", "output": ""} -{"perplexity": 29.9138442057463, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Microsoft\", \"Google\"]", "output": ""} -{"perplexity": 27.890328279420437, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Samsung\", \"Pitbull\"]", "output": ""} -{"perplexity": 22.899945028160023, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Cristiano Ronaldo\", \"Lionel Messi\"]", "output": ""} -{"perplexity": 27.88951704338117, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Germany\", \"Austria\"]", "output": ""} -{"perplexity": 33.30622174842968, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Dyson\", \"Dualit\"]", "output": ""} -{"perplexity": 28.401189182733773, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Netflix\", \"Disney Plus\"]", "output": ""} -{"perplexity": 28.829754472474942, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"PyTorch\", \"TensorFlow\"]", "output": ""} -{"perplexity": 25.063590991946793, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Dell\", \"HP\"]", "output": ""} -{"perplexity": 37.53187216685995, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Sanpellegrino\", \"Volvic\"]", "output": ""} -{"perplexity": 27.362203224671592, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Mikhail Khodorkovsky\", \"Hezbollah\"]", "output": ""} -{"perplexity": 26.924077582165857, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"British Airways\", \"Aer Lingus\"]", "output": ""} -{"perplexity": 23.915178475060383, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": ""} -{"perplexity": 28.03741096716242, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Federal Reserve Board\", \"Bank of England\"]", "output": ""} -{"perplexity": 30.30260442854726, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"American Psycho\", \"Chihuahua\"]", "output": ""} -{"perplexity": 32.361524307747814, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Mars\", \"Snickers\"]", "output": ""} -{"perplexity": 33.006344812403654, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"ASML\", \"LAM Research\"]", "output": ""} -{"perplexity": 31.88770999023582, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Jake Paul\", \"Tangled\"]", "output": ""} -{"perplexity": 29.82185455185297, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Nikhita Khrushchev\", \"Leonid Brezhnev\"]", "output": ""} -{"perplexity": 28.077366763253952, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Razer\", \"Dell\"]", "output": ""} -{"perplexity": 28.083954595223602, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Spotify\", \"Apple\"]", "output": ""} -{"perplexity": 27.7047339187991, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Kourtney Kardashian\", \"Jenna Fischer\"]", "output": ""} -{"perplexity": 24.92787683055462, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Twitter\", \"WhatsApp\"]", "output": ""} -{"perplexity": 26.53562471820078, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Manchester United\", \"Arsenal\"]", "output": ""} -{"perplexity": 25.891317491427596, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"WeChat\", \"WhatsApp\"]", "output": ""} -{"perplexity": 28.148958266050794, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Saudi Arabia\", \"Israel\"]", "output": ""} -{"perplexity": 31.50837073708188, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Bashar al-Assad\", \"Christianity\"]", "output": ""} -{"perplexity": 31.117121782409665, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Didier Deschamps\", \"Scott Adkins\"]", "output": ""} -{"perplexity": 22.983577292220563, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Lionel Messi\", \"Kylian Mbapp\u00e9\"]", "output": ""} -{"perplexity": 35.52341649542959, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Louis Philippe\", \"Peter England\"]", "output": ""} -{"perplexity": 31.666054033157614, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Steve Jobs\", \"Atlanta\"]", "output": ""} -{"perplexity": 32.244236665630325, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Bella Hadid\", \"Choi Woo-shik\"]", "output": ""} -{"perplexity": 29.626189838632854, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Mali\", \"Frances McDormand\"]", "output": ""} -{"perplexity": 24.365952291821102, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Coca-Cola Company\", \"Pepsi\"]", "output": ""} -{"perplexity": 23.161117197033455, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Khabib Nurmagomedov\", \"Conor McGregor\"]", "output": ""} -{"perplexity": 26.396508424721038, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Twitter\", \"Facebook\"]", "output": ""} -{"perplexity": 25.18652928646359, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Cardiff University\", \"Swansea University\"]", "output": ""} -{"perplexity": 28.37210750022943, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Isaac Newton\", \"Gottfried Leibniz\"]", "output": ""} -{"perplexity": 31.294820251041784, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Casio\", \"Texas Instruments\"]", "output": ""} -{"perplexity": 25.20086714943755, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Arsenal\", \"Tottenham Hotspur\"]", "output": ""} -{"perplexity": 27.998172875968176, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Nintendo\", \"Xbox\"]", "output": ""} -{"perplexity": 30.233542830016063, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"H&M\", \"Zalora\"]", "output": ""} -{"perplexity": 26.213803802640896, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Serena Williams\", \"Andy Murray\"]", "output": ""} -{"perplexity": 24.569753438710602, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]", "output": ""} -{"perplexity": 27.884670067303453, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Apple\", \"Samsung\"]", "output": ""} -{"perplexity": 28.907433810190277, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Expedia\", \"Trivago\"]", "output": ""} -{"perplexity": 25.309919740760265, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Heathrow Airport\", \"Gatwick Airport\"]", "output": ""} -{"perplexity": 30.794496149121528, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Mario\", \"Bowser\"]", "output": ""} -{"perplexity": 28.783614930264537, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"US\", \"China\"]", "output": ""} -{"perplexity": 27.255690559906274, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Olympic Games\", \"Helicobacter pylori\"]", "output": ""} -{"perplexity": 25.19144780966918, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"BMW\", \"Mercedes-Benz\"]", "output": ""} -{"perplexity": 29.395440763801727, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Blur\", \"Oasis\"]", "output": ""} -{"perplexity": 26.342767068481802, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]", "output": ""} -{"perplexity": 29.506481104341177, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Toshiba\", \"LG\"]", "output": ""} -{"perplexity": 29.08447273262257, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Apple\", \"Rolex\"]", "output": ""} -{"perplexity": 29.703068944440922, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Tesla\", \"Skoda\"]", "output": ""} -{"perplexity": 30.379529404123222, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Thomas Jefferson\", \"Alexander Hamilton\"]", "output": ""} -{"perplexity": 28.27047166427453, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Chester FC\", \"Wrexham FC\"]", "output": ""} -{"perplexity": 27.684086770395847, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Line of Duty\", \"CSI\"]", "output": ""} -{"perplexity": 26.04472405123064, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Gladiator\", \"Imelda Staunton\"]", "output": ""} -{"perplexity": 29.078232551348783, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"UK\", \"France\"]", "output": ""} -{"perplexity": 27.511498483662766, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Nike\", \"Adidas\"]", "output": ""} -{"perplexity": 27.014186707846246, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Alain Prost\", \"Ayrton Senna\"]", "output": ""} -{"perplexity": 24.433433393946505, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Manchester City\", \"Manchester United\"]", "output": ""} -{"perplexity": 27.843587746626067, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"BBC\", \"The Guardian\"]", "output": ""} -{"perplexity": 27.945947491335524, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Amazon\", \"Ebay\"]", "output": ""} -{"perplexity": 27.00925359437182, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Sir Alex Ferguson\", \"Jose Mourinho\"]", "output": ""} -{"perplexity": 35.00925046849214, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"ASEAN\", \"Helen Hunt\"]", "output": ""} -{"perplexity": 29.547840061646756, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Hans Zimmer\", \"John Williams\"]", "output": ""} -{"perplexity": 35.92639984078363, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Noel Gallagher\", \"Liam Gallaguer\"]", "output": ""} -{"perplexity": 24.955891300531025, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"McDonald's\", \"Burger King\"]", "output": ""} -{"perplexity": 27.15995123955341, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Neoclassicism\", \"Romanticism\"]", "output": ""} -{"perplexity": 39.376572915017405, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Royal Feast\", \"Fast X\"]", "output": ""} -{"perplexity": 28.206256623796204, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Eminem\", \"MGK\"]", "output": ""} -{"perplexity": 24.943357908116976, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Sprite\", \"7 Up\"]", "output": ""} -{"perplexity": 29.160279809217062, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Katharine Hepburn\", \"Abrahamic religion\"]", "output": ""} -{"perplexity": 26.893892178202524, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Martin Luther King Jr.\", \"Malcolm X\"]", "output": ""} -{"perplexity": 31.057790124673442, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Ligue 1\", \"Hayley Atwell\"]", "output": ""} -{"perplexity": 33.51546580315983, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Vikram\", \"Coen brothers\"]", "output": ""} -{"perplexity": 29.491381053499964, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Russia\", \"China\"]", "output": ""} -{"perplexity": 28.880174752415495, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Mohamed Salah\", \"Korea\"]", "output": ""} -{"perplexity": 30.20658883269485, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Kingston\", \"Samsung\"]", "output": ""} -{"perplexity": 30.493981752670322, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"AWS\", \"GCP\"]", "output": ""} -{"perplexity": 27.56990494393118, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Beatles\", \"Rolling Stones\"]", "output": ""} -{"perplexity": 33.506844936278334, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"John Tyler\", \"Whig Party\"]", "output": ""} \ No newline at end of file diff --git a/experiments/results/lm_lc/opt-125m/ppl.friend__ally_of.jsonl b/experiments/results/lm_lc/opt-125m/ppl.friend__ally_of.jsonl deleted file mode 100644 index aa36b9d424c42080aeccb86e7d5048fb6856fa08..0000000000000000000000000000000000000000 --- a/experiments/results/lm_lc/opt-125m/ppl.friend__ally_of.jsonl +++ /dev/null @@ -1,92 +0,0 @@ -{"perplexity": 21.545137153317498, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Rishi Sunak\", \"Leo Varadkar\"]", "output": ""} -{"perplexity": 27.057212501105795, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Gondor\", \"Rohan\"]", "output": ""} -{"perplexity": 23.92184483494839, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"FIFA\", \"UEFA\"]", "output": ""} -{"perplexity": 25.79691392494962, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Joseph Stalin\", \"Josip Broz Tito\"]", "output": ""} -{"perplexity": 23.83417901658567, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Hillary Clinton\", \"Barack Obama\"]", "output": ""} -{"perplexity": 26.236269162881925, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Di Maio\", \"Salvini\"]", "output": ""} -{"perplexity": 24.85588319681969, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Yahoo\", \"Yahoo Japan\"]", "output": ""} -{"perplexity": 19.590237901005022, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Armenia\", \"Azerbaijan\"]", "output": ""} -{"perplexity": 26.04664287165614, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Doja Cat\", \"Anthony Albanese\"]", "output": ""} -{"perplexity": 21.477346321283783, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Pedro S\u00e1nchez\", \"Pablo Iglesias\"]", "output": ""} -{"perplexity": 31.58953905117503, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Islamic State\", \"Denys Prokopenko\"]", "output": ""} -{"perplexity": 25.87899300229866, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Brazil\", \"India\"]", "output": ""} -{"perplexity": 18.151780651265465, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]", "output": ""} -{"perplexity": 24.929677706101316, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Sicily\", \"Calabria\"]", "output": ""} -{"perplexity": 24.834149827047366, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Oman\", \"Iran\"]", "output": ""} -{"perplexity": 31.189376600439086, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Sony\", \"ZEISS\"]", "output": ""} -{"perplexity": 33.12608868822891, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"FTX\", \"Alameda Research\"]", "output": ""} -{"perplexity": 25.316727408688052, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"UK\", \"Commonwealth\"]", "output": ""} -{"perplexity": 22.476828451315626, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Australia\", \"New Zealand\"]", "output": ""} -{"perplexity": 25.59517824830298, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Kylo Ren\", \"Rey\"]", "output": ""} -{"perplexity": 26.1513110843897, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Anne Boleyn\", \"Columbia Pictures\"]", "output": ""} -{"perplexity": 24.808691075983752, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"KGB\", \"CIA\"]", "output": ""} -{"perplexity": 24.182624384071826, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Rishi Sunak\", \"Joe Biden\"]", "output": ""} -{"perplexity": 23.487853420230724, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Quentin Tarantino\", \"Edgar Wright\"]", "output": ""} -{"perplexity": 22.09974948050266, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Keir Starmer\", \"Jeremy Corbyn\"]", "output": ""} -{"perplexity": 21.82178687771647, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"U.S.S.R.\", \"East Germany\"]", "output": ""} -{"perplexity": 28.223255555318953, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Harry Potter\", \"Severus Snape\"]", "output": ""} -{"perplexity": 24.786254361204147, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Tata Motors\", \"Jaguar\"]", "output": ""} -{"perplexity": 25.988160710895517, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Kendall Jenner\", \"Bergen\"]", "output": ""} -{"perplexity": 26.867737517801128, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Thomas Jefferson\", \"Kid Cudi\"]", "output": ""} -{"perplexity": 24.581454421787075, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"South Korea\", \"Japan\"]", "output": ""} -{"perplexity": 24.80670967939874, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Spain\", \"Portugal\"]", "output": ""} -{"perplexity": 24.781190434025557, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Liam Gallagher\", \"Noel Gallagher\"]", "output": ""} -{"perplexity": 22.716785383925956, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"France\", \"Belgium\"]", "output": ""} -{"perplexity": 25.012342710855386, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Turkish Airlines\", \"All Nippon Airways\"]", "output": ""} -{"perplexity": 22.317672785527897, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Malaysia\", \"Singapore\"]", "output": ""} -{"perplexity": 24.436206434304722, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"JP Morgan\", \"Morgan Stanley\"]", "output": ""} -{"perplexity": 24.019274477249255, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Sophia Loren\", \"Marlon Brando\"]", "output": ""} -{"perplexity": 20.894419561664304, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"J.R.R. Tolkien\", \"C.S. Lewis\"]", "output": ""} -{"perplexity": 23.735202549012318, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"China\", \"North Korea\"]", "output": ""} -{"perplexity": 22.653597089072246, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Margaret Thatcher\", \"Ronald Reagan\"]", "output": ""} -{"perplexity": 28.568336095889418, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Eva Per\u00f3n\", \"Interpol\"]", "output": ""} -{"perplexity": 25.076884307649898, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"UK\", \"Ireland\"]", "output": ""} -{"perplexity": 25.024564717329092, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Singapore\", \"Israel\"]", "output": ""} -{"perplexity": 23.266800948828745, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Eastern Orthodoxy\", \"Oriental Orthodoxy\"]", "output": ""} -{"perplexity": 24.4739533777496, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"India\", \"US\"]", "output": ""} -{"perplexity": 26.941318652907526, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Ed Gein\", \"Colonel Sanders\"]", "output": ""} -{"perplexity": 24.4046438422165, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Beatles\", \"Rolling Stones\"]", "output": ""} -{"perplexity": 26.174765039211387, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Red Bull\", \"GoPro\"]", "output": ""} -{"perplexity": 25.29257088415198, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"HSBC\", \"BlackRock\"]", "output": ""} -{"perplexity": 24.593266519907736, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]", "output": ""} -{"perplexity": 27.392842415036313, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Macbeth\", \"Banquo\"]", "output": ""} -{"perplexity": 23.151030625729334, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Aznar\", \"Bush\"]", "output": ""} -{"perplexity": 25.84789006284358, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Google\", \"Samsung\"]", "output": ""} -{"perplexity": 23.552430949003917, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"IMF\", \"The World Bank\"]", "output": ""} -{"perplexity": 28.182252241544152, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Nikon\", \"Tokina\"]", "output": ""} -{"perplexity": 26.359566761099106, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Walter White\", \"Gus Fring\"]", "output": ""} -{"perplexity": 28.418034576552287, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Ron Weasley\", \"Neville Longbottom\"]", "output": ""} -{"perplexity": 21.68854784869138, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Darth Vader\", \"Emperor Palpatine\"]", "output": ""} -{"perplexity": 21.811747939109424, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Coca-Cola\", \"McDonald's\"]", "output": ""} -{"perplexity": 22.57125703529652, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Instagram\", \"WhatsApp\"]", "output": ""} -{"perplexity": 29.499257153372447, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Noah Schnapp\", \"Galatasaray S.K.\"]", "output": ""} -{"perplexity": 24.17173564251348, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"US\", \"Canada\"]", "output": ""} -{"perplexity": 28.620107369626428, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Bob Marley\", \"Abu Bakr\"]", "output": ""} -{"perplexity": 25.32933970765577, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Jeff Bezos\", \"GitHub\"]", "output": ""} -{"perplexity": 25.049916516296083, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Hong Kong\", \"HSBC\"]", "output": ""} -{"perplexity": 22.69963905769723, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"United States\", \"United Kingdom\"]", "output": ""} -{"perplexity": 25.817513897576113, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Porter Wagoner\", \"Dolly Parton\"]", "output": ""} -{"perplexity": 28.16673522635395, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Achilles\", \"Jonathan Bailey\"]", "output": ""} -{"perplexity": 30.74831305042511, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Linus Sebastian\", \"Marques Brownlee\"]", "output": ""} -{"perplexity": 23.897287148801222, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Catherine Zeta-Jones\", \"Johnny Knoxville\"]", "output": ""} -{"perplexity": 25.049564149209765, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Amazon\", \"Royal Mail\"]", "output": ""} -{"perplexity": 26.779527881016943, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"The Beatles\", \"Queen\"]", "output": ""} -{"perplexity": 23.350509209866882, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Benedict Cumberbatch\", \"Hanukkah\"]", "output": ""} -{"perplexity": 23.778084872443696, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Huawei\", \"China\"]", "output": ""} -{"perplexity": 23.173335172443174, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Rishi Sunak\", \"Emmanuel Macron\"]", "output": ""} -{"perplexity": 25.553794981191096, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Microsoft\", \"LinkedIn\"]", "output": ""} -{"perplexity": 26.869249321534326, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Paul Rudd\", \"Memento\"]", "output": ""} -{"perplexity": 25.581189347167804, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Russia\", \"Georgia\"]", "output": ""} -{"perplexity": 24.552461190246092, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Germany\", \"France\"]", "output": ""} -{"perplexity": 26.510033373171826, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Stephen Hawking\", \"Brian Cox\"]", "output": ""} -{"perplexity": 21.77582250382853, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Jean-Michel Basquiat\", \"Andy Warhol\"]", "output": ""} -{"perplexity": 26.5940263403879, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Mark Drakeford\", \"Rishi Sunak\"]", "output": ""} -{"perplexity": 27.307192403716506, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"J\u00fcrgen Klopp\", \"Exo\"]", "output": ""} -{"perplexity": 26.864912722705895, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Windows\", \"Xbox\"]", "output": ""} -{"perplexity": 26.96832935976581, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Saturn\", \"Rachel Bilson\"]", "output": ""} -{"perplexity": 23.9260657323521, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Ottoman Empire\", \"Snowpiercer\"]", "output": ""} -{"perplexity": 27.466866217931834, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Johnny Cash\", \"Waylon Jennings\"]", "output": ""} -{"perplexity": 23.292026808882344, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"UN\", \"NATO\"]", "output": ""} -{"perplexity": 22.90917936457184, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Boris Johnson\", \"Emmanuel Macron\"]", "output": ""} -{"perplexity": 24.286946430080484, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Cersei Lannister\", \"Euron Greyjoy\"]", "output": ""} -{"perplexity": 23.905721021424412, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Japan\", \"Taiwan\"]", "output": ""} \ No newline at end of file diff --git a/experiments/results/lm_lc/opt-125m/ppl.influenced_by.jsonl b/experiments/results/lm_lc/opt-125m/ppl.influenced_by.jsonl deleted file mode 100644 index a67ecc7ebf7c46ce1965d696664e31321e065a1a..0000000000000000000000000000000000000000 --- a/experiments/results/lm_lc/opt-125m/ppl.influenced_by.jsonl +++ /dev/null @@ -1,93 +0,0 @@ -{"perplexity": 24.998368389517648, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Prince Harry\", \"Monarchy\"]", "output": ""} -{"perplexity": 24.678245998777466, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"F1\", \"social media\"]", "output": ""} -{"perplexity": 20.269496621089434, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Elton John\", \"Elvis Presley\"]", "output": ""} -{"perplexity": 24.698476743445543, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Jack Black\", \"Waffen-SS\"]", "output": ""} -{"perplexity": 18.995877338139067, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Game of Thrones\", \"Lord of the Rings\"]", "output": ""} -{"perplexity": 23.364275372756545, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Canon\", \"Nikon\"]", "output": ""} -{"perplexity": 20.27816820397746, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Thomas Aquinas\", \"Aristotle\"]", "output": ""} -{"perplexity": 22.12950768231149, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Android\", \"iOS\"]", "output": ""} -{"perplexity": 25.4351032486225, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Charles Baudelaire\", \"Tornado MRCA\"]", "output": ""} -{"perplexity": 24.297562661491877, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"trending music\", \"TikTok\"]", "output": ""} -{"perplexity": 21.1441289528978, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Xi Jinping\", \"Kim Jong-il\"]", "output": ""} -{"perplexity": 22.026573964046953, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Beethoven\", \"romanticism\"]", "output": ""} -{"perplexity": 21.39882246552331, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Edgar Allan Poe\", \"Romanticism\"]", "output": ""} -{"perplexity": 24.19358724903587, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"US\", \"NASA\"]", "output": ""} -{"perplexity": 22.60196268505098, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Wales\", \"Westminster\"]", "output": ""} -{"perplexity": 22.753932281103197, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Sierra Leone\", \"Pulp fiction\"]", "output": ""} -{"perplexity": 19.35488313462755, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]", "output": ""} -{"perplexity": 20.335816671176605, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Theresa May\", \"David Cameron\"]", "output": ""} -{"perplexity": 26.195248295192386, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Anna Delvey\", \"Bernie Madoff\"]", "output": ""} -{"perplexity": 20.984456474297133, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Lord of the Rings\", \"Beowulf\"]", "output": ""} -{"perplexity": 22.155317505088668, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Andrew Johnson\", \"Abraham Lincoln\"]", "output": ""} -{"perplexity": 21.840785068780743, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"LinkedIn\", \"Facebook\"]", "output": ""} -{"perplexity": 21.191973133591688, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Picasso\", \"Cezanne\"]", "output": ""} -{"perplexity": 21.85913270182598, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Playstation\", \"Xbox\"]", "output": ""} -{"perplexity": 22.792829905712544, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Kevin Spacey\", \"Tenerife\"]", "output": ""} -{"perplexity": 23.000938093119377, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Saudi Arabia\", \"US\"]", "output": ""} -{"perplexity": 22.922144296077242, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Fitbit\", \"heart rate monitor\"]", "output": ""} -{"perplexity": 21.25984653048725, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Taiwan\", \"China\"]", "output": ""} -{"perplexity": 17.11185518843774, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Kylian Mbappe\", \"Cristiano Ronaldo\"]", "output": ""} -{"perplexity": 26.250916706184668, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Picasso\", \"cubism\"]", "output": ""} -{"perplexity": 22.628210240913354, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Miley Cyrus\", \"Lorde\"]", "output": ""} -{"perplexity": 19.22998400679725, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Neymar\", \"Alexis S\u00e1nchez\"]", "output": ""} -{"perplexity": 21.077670229830602, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Smashing Pumpkins\", \"Beatles\"]", "output": ""} -{"perplexity": 21.898557661757128, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Portuguese\", \"The Prestige\"]", "output": ""} -{"perplexity": 25.134969703221206, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Luke Evans\", \"Ava Gardner\"]", "output": ""} -{"perplexity": 21.977364277224243, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"MacOS\", \"Linux\"]", "output": ""} -{"perplexity": 24.65666207197247, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Transport for Wales\", \"National Rail\"]", "output": ""} -{"perplexity": 22.342237147535393, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Herbie Hancock\", \"Miles Davis\"]", "output": ""} -{"perplexity": 21.354003561796254, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"India\", \"Hinduism\"]", "output": ""} -{"perplexity": 23.43923472483536, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"hip hop\", \"jazz\"]", "output": ""} -{"perplexity": 21.577764855890244, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Bob Dylan\", \"Woody Guthrie\"]", "output": ""} -{"perplexity": 26.243419846781663, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Tim Burton\", \"German expressionism\"]", "output": ""} -{"perplexity": 29.14218845007761, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Eamon de Valera\", \"James Napper Tandy\"]", "output": ""} -{"perplexity": 21.721672386850415, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Joe Biden\", \"Donald Trump\"]", "output": ""} -{"perplexity": 22.982552608948904, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Shaquille O'Neal\", \"Selim II\"]", "output": ""} -{"perplexity": 24.51359373252666, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Cobra Kai\", \"Anna Chlumsky\"]", "output": ""} -{"perplexity": 19.996353205859677, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Harry Potter\", \"Wizard of Oz\"]", "output": ""} -{"perplexity": 19.389888530582454, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Coca-Cola\", \"Pepsi\"]", "output": ""} -{"perplexity": 21.702250029048052, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Apple Music\", \"Spotify\"]", "output": ""} -{"perplexity": 22.34756991510033, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Singaporean food\", \"Malaysian food\"]", "output": ""} -{"perplexity": 23.171749564996208, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Guess\", \"Gucci\"]", "output": ""} -{"perplexity": 21.00909610963336, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Commonwealth\", \"United Kingdom\"]", "output": ""} -{"perplexity": 25.37368651806305, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"machine learning\", \"Google\"]", "output": ""} -{"perplexity": 23.37799391386365, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Antonio Salazar\", \"fascism\"]", "output": ""} -{"perplexity": 21.954923148106722, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Facebook\", \"LinkedIn\"]", "output": ""} -{"perplexity": 22.97923777016622, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Hank Williams\", \"Jimmie Rodgers\"]", "output": ""} -{"perplexity": 29.046296867962912, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"painters\", \"Stable Diffusion\"]", "output": ""} -{"perplexity": 23.645345419685466, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Walmart\", \"Rivaldo\"]", "output": ""} -{"perplexity": 21.132572747793773, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Sauron\", \"Shiba Inu\"]", "output": ""} -{"perplexity": 21.131121738996196, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Bruno Mars\", \"James Brown\"]", "output": ""} -{"perplexity": 22.16699961502673, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Brazil\", \"Spain\"]", "output": ""} -{"perplexity": 24.094226927971004, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"heavy metal\", \"punk music\"]", "output": ""} -{"perplexity": 28.703961943926526, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Moon\", \"G\u00f6bekli Tepe\"]", "output": ""} -{"perplexity": 22.65691356941018, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"English\", \"William Shakespeare\"]", "output": ""} -{"perplexity": 21.995942018398914, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Beatles\", \"Alice in Wonderland\"]", "output": ""} -{"perplexity": 18.324485528419903, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"impressionism\", \"Edouard Manet\"]", "output": ""} -{"perplexity": 23.123636334652634, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Gilbert Gottfried\", \"Mike Krieger\"]", "output": ""} -{"perplexity": 24.08568061114868, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Vladimir Lenin\", \"chess\"]", "output": ""} -{"perplexity": 18.107341829999477, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Pepsi\", \"Coca-Cola\"]", "output": ""} -{"perplexity": 23.102024044890314, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Alicia Vikander\", \"Richard Attenborough\"]", "output": ""} -{"perplexity": 22.83625270679403, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Luke Bryan\", \"Hank Williams\"]", "output": ""} -{"perplexity": 21.755506244006376, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Bill Gates\", \"Steve Jobs\"]", "output": ""} -{"perplexity": 24.922843389978624, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Allu Arjun\", \"Aaron Ramsey\"]", "output": ""} -{"perplexity": 25.417674644172582, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Stephen King\", \"Arthur Machen\"]", "output": ""} -{"perplexity": 20.942542524274078, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Bangladesh\", \"India\"]", "output": ""} -{"perplexity": 24.021530879896368, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"hamburger\", \"Germany\"]", "output": ""} -{"perplexity": 19.02139256037757, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Plato\", \"Socrates\"]", "output": ""} -{"perplexity": 18.92025406984368, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]", "output": ""} -{"perplexity": 22.76674964578036, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Oasis\", \"Blur\"]", "output": ""} -{"perplexity": 19.68552651014525, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Quentin Tarantino\", \"Sergio Leone\"]", "output": ""} -{"perplexity": 21.792868530616165, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"European Union\", \"Germany\"]", "output": ""} -{"perplexity": 25.09393564705967, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Stephen Foster\", \"Thomas Moore\"]", "output": ""} -{"perplexity": 22.8254695267881, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Hoover\", \"Dyson\"]", "output": ""} -{"perplexity": 22.38387824702451, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Mark Rothko\", \"Claude Monet\"]", "output": ""} -{"perplexity": 22.778911649163497, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"James Brown\", \"Michael Jackson\"]", "output": ""} -{"perplexity": 22.61739048710792, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Windows\", \"Linux\"]", "output": ""} -{"perplexity": 21.62624994717262, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Radiohead\", \"David Bowie\"]", "output": ""} -{"perplexity": 23.0552703526969, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"NVIDIA\", \"AMD\"]", "output": ""} -{"perplexity": 21.537900672637285, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"India\", \"Gandhi\"]", "output": ""} -{"perplexity": 23.397013701435363, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Viktor Yushchenko\", \"Bonnie Wright\"]", "output": ""} -{"perplexity": 19.845513899524338, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Beethoven\", \"Mozart\"]", "output": ""} -{"perplexity": 22.026180101733345, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Bitcoin\", \"blockchain\"]", "output": ""} -{"perplexity": 20.99318867274114, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Hong Kong\", \"China\"]", "output": ""} \ No newline at end of file diff --git a/experiments/results/lm_lc/opt-125m/ppl.known_for.jsonl b/experiments/results/lm_lc/opt-125m/ppl.known_for.jsonl deleted file mode 100644 index d573531c990c3209c2b495600db5fbfe9b653c86..0000000000000000000000000000000000000000 --- a/experiments/results/lm_lc/opt-125m/ppl.known_for.jsonl +++ /dev/null @@ -1,108 +0,0 @@ -{"perplexity": 19.65212382688635, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Hawaii\", \"ukulele\"]", "output": ""} -{"perplexity": 15.348109659012383, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]", "output": ""} -{"perplexity": 21.166180365431423, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Sweden\", \"pop\"]", "output": ""} -{"perplexity": 25.715892210299184, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Memphis Depay\", \"Mendelian inheritance\"]", "output": ""} -{"perplexity": 19.890813230680514, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"beaches\"]", "output": ""} -{"perplexity": 20.289852184746277, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"cars\"]", "output": ""} -{"perplexity": 18.918034817482475, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Alphabet Inc.\", \"Google\"]", "output": ""} -{"perplexity": 16.88009972378279, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Vincent Van Gogh\", \"The Starry Night\"]", "output": ""} -{"perplexity": 20.165120631981328, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Italy\", \"Hawaiian pizza\"]", "output": ""} -{"perplexity": 22.58874261473155, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Japan\", \"glass product\"]", "output": ""} -{"perplexity": 24.25744460152781, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"rococo movement\"]", "output": ""} -{"perplexity": 20.091188461040037, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Europe\", \"The Final Countdown\"]", "output": ""} -{"perplexity": 18.016092608714924, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Sophie Turner\", \"Sylvia Plath\"]", "output": ""} -{"perplexity": 19.04438102109953, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Bill Nye\", \"scientist\"]", "output": ""} -{"perplexity": 20.324619866411417, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Mercedes Benz\", \"build quality\"]", "output": ""} -{"perplexity": 19.52324908497216, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Hawaii\", \"beaches\"]", "output": ""} -{"perplexity": 20.368793354461094, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Jackson Pollock\", \"action painting\"]", "output": ""} -{"perplexity": 20.336228792456357, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Andhra Pradesh\", \"Martinique\"]", "output": ""} -{"perplexity": 16.891444658304565, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Keanu Reeves\", \"The Matrix\"]", "output": ""} -{"perplexity": 19.731420315849743, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Christopher Columbus\", \"India\"]", "output": ""} -{"perplexity": 18.23927667215982, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Picasso\", \"Guernica\"]", "output": ""} -{"perplexity": 18.373868067854623, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Italy\", \"Renaissance\"]", "output": ""} -{"perplexity": 20.22496464932124, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Korea\", \"Breakdance\"]", "output": ""} -{"perplexity": 20.124967959557637, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Spain\", \"olive oil\"]", "output": ""} -{"perplexity": 17.454270238382836, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"C.S. Lewis\", \"The Screwtape Letters\"]", "output": ""} -{"perplexity": 16.70572629528246, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Corsica\", \"Napoleon Bonaparte\"]", "output": ""} -{"perplexity": 17.23262895227566, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Rafael Nadal\", \"Ralph Macchio\"]", "output": ""} -{"perplexity": 20.65878769888655, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Walther P38\", \"Lupin the Third\"]", "output": ""} -{"perplexity": 22.76970810675985, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Richard Harris\", \"Curcuma longa\"]", "output": ""} -{"perplexity": 22.104992748314363, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Smashing Pumpkins\", \"Thru the eyes of Ruby\"]", "output": ""} -{"perplexity": 22.385714158272094, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"India\", \"rum\"]", "output": ""} -{"perplexity": 18.31748352335839, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Parasite\", \"Jersey\"]", "output": ""} -{"perplexity": 19.73314217838805, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"India\", \"Gurkhas\"]", "output": ""} -{"perplexity": 17.622086371300465, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Amazon\", \"Alexa\"]", "output": ""} -{"perplexity": 18.765649704412272, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Thomas Edison\", \"telephone\"]", "output": ""} -{"perplexity": 20.69132611824867, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Buffon\", \"PSG\"]", "output": ""} -{"perplexity": 18.30754640791825, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Alfred Hitchcock\", \"horror\"]", "output": ""} -{"perplexity": 16.254389248266907, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"William Shakespeare\", \"Romeo and Juliet\"]", "output": ""} -{"perplexity": 18.445385554907805, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Thomas Edison\", \"light bulb\"]", "output": ""} -{"perplexity": 18.919288753290278, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Michael Jordan\", \"Tessa Thompson\"]", "output": ""} -{"perplexity": 15.362925889693688, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Inglourious Basterds\", \"Sergio Busquets\"]", "output": ""} -{"perplexity": 17.255179249181488, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Boris Johnson\", \"Brexit\"]", "output": ""} -{"perplexity": 20.23728380636884, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Georgia\", \"Joseph Stalin\"]", "output": ""} -{"perplexity": 19.32365852296323, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"China\", \"coffee\"]", "output": ""} -{"perplexity": 22.938157062107003, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"OpenAI\", \"ChatGPT\"]", "output": ""} -{"perplexity": 17.673915690407995, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Tesco\", \"groceries\"]", "output": ""} -{"perplexity": 18.423014723610528, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Amazon\", \"cloud computing\"]", "output": ""} -{"perplexity": 19.31243423457101, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Nvidia\", \"GPUs\"]", "output": ""} -{"perplexity": 19.475489809014064, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Tony Blair\", \"Iraq War\"]", "output": ""} -{"perplexity": 20.847103014250774, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Germany\", \"techno music\"]", "output": ""} -{"perplexity": 18.55087518590079, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Michelangelo\", \"Pop Art\"]", "output": ""} -{"perplexity": 19.72946340862319, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Gilmore Girls\", \"OpenAI\"]", "output": ""} -{"perplexity": 20.22940138263864, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Ragnar\u00f6k\", \"Little Boy\"]", "output": ""} -{"perplexity": 17.574208978708544, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Pizzagate\", \"Hillary Clinton\"]", "output": ""} -{"perplexity": 18.736773863991626, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"George Orwell\", \"Coming Up for Air\"]", "output": ""} -{"perplexity": 20.154195600849306, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Italy\", \"wine\"]", "output": ""} -{"perplexity": 16.266558520007813, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Coca-Cola\", \"Pepsi\"]", "output": ""} -{"perplexity": 17.51948055721935, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Spotify\", \"Podcasts\"]", "output": ""} -{"perplexity": 21.096443085675013, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Valencia\", \"paella\"]", "output": ""} -{"perplexity": 19.25262323905714, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"The Office\", \"IBM\"]", "output": ""} -{"perplexity": 19.180467996766556, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Romania\", \"Roman Catholicism\"]", "output": ""} -{"perplexity": 19.582896973010637, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"George Washington\", \"Kiribati\"]", "output": ""} -{"perplexity": 18.33812156062492, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Charles Bronson\", \"Rory McIlroy\"]", "output": ""} -{"perplexity": 18.982399377905715, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Belgium\", \"wine\"]", "output": ""} -{"perplexity": 17.815145926680184, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Luka Modri\u0107\", \"Rottweiler\"]", "output": ""} -{"perplexity": 19.253398995625663, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Switzerland\", \"mountains\"]", "output": ""} -{"perplexity": 19.321484085047935, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Assassin's Creed\", \"history\"]", "output": ""} -{"perplexity": 19.08994976741357, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Red Bull\", \"energy drinks\"]", "output": ""} -{"perplexity": 18.427183572367518, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Johnny Cash\", \"Ring of Fire\"]", "output": ""} -{"perplexity": 17.914583653796193, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Microsoft\", \"Xbox\"]", "output": ""} -{"perplexity": 20.163798546985788, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Canada\", \"maple syrup\"]", "output": ""} -{"perplexity": 19.068447424660736, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"cheese\"]", "output": ""} -{"perplexity": 20.018873254975926, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"beer\"]", "output": ""} -{"perplexity": 18.17575040348274, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Nintendo\", \"Super Mario Bros.\"]", "output": ""} -{"perplexity": 20.201687758858167, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"democracy\", \"North Korea\"]", "output": ""} -{"perplexity": 16.429088135792806, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Apple\", \"iPhone\"]", "output": ""} -{"perplexity": 17.4843957739473, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Harry Potter\", \"Bloomsbury\"]", "output": ""} -{"perplexity": 20.291903378978308, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"mountains\"]", "output": ""} -{"perplexity": 21.626414942995105, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"UK\", \"rain\"]", "output": ""} -{"perplexity": 17.274879877110106, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Matt Damon\", \"Ocean's Eleven\"]", "output": ""} -{"perplexity": 21.55008442206516, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Switzerland\", \"banking secrecy\"]", "output": ""} -{"perplexity": 18.758613296821274, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Adidas\", \"Yeezy Boost\"]", "output": ""} -{"perplexity": 20.7616744226606, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Portugal\", \"Fado\"]", "output": ""} -{"perplexity": 19.489336461786948, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Italy\", \"tea\"]", "output": ""} -{"perplexity": 18.872799947686094, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Beatles\", \"Come Together\"]", "output": ""} -{"perplexity": 19.75463104364008, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Afro-Brazilians\", \"Capoeira\"]", "output": ""} -{"perplexity": 17.121122887120322, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Steve Jobs\", \"AirPods\"]", "output": ""} -{"perplexity": 16.396945383008504, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Apple\", \"Apple Watch\"]", "output": ""} -{"perplexity": 25.458260840122772, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Frank Abagnale Jr\", \"doctor\"]", "output": ""} -{"perplexity": 19.499715126535655, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Meta\", \"Instagram\"]", "output": ""} -{"perplexity": 16.18817850284001, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Jeff Goldblum\", \"Jurassic Park\"]", "output": ""} -{"perplexity": 14.548572181976965, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]", "output": ""} -{"perplexity": 19.379378883220287, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Neil Armstrong\", \"Korean War\"]", "output": ""} -{"perplexity": 19.41463687772023, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"baguette\"]", "output": ""} -{"perplexity": 16.3242759542682, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Queen\", \"Bohemian Rhapsody\"]", "output": ""} -{"perplexity": 17.982851367642876, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Pixar\", \"Novosibirsk\"]", "output": ""} -{"perplexity": 19.76929831459185, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Greggs\", \"sausage rolls\"]", "output": ""} -{"perplexity": 20.64499122821471, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Japan\", \"sake\"]", "output": ""} -{"perplexity": 19.351145698898318, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"IKEA\", \"food\"]", "output": ""} -{"perplexity": 23.909762356725142, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"William Grant & Sons\", \"gin\"]", "output": ""} -{"perplexity": 19.15550206977769, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Netherlands\", \"tulips\"]", "output": ""} -{"perplexity": 21.33430465235055, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"LAMY\", \"notebook\"]", "output": ""} -{"perplexity": 16.757493150085253, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Harvey Weinstein\", \"Miramax\"]", "output": ""} -{"perplexity": 20.428540440910798, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Scotland\", \"whisky\"]", "output": ""} -{"perplexity": 17.000968471674717, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Apple\", \"MacBook\"]", "output": ""} -{"perplexity": 17.443491322819053, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Steve Jobs\", \"Apple\"]", "output": ""} -{"perplexity": 21.21747863562255, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Beatles\", \"I Me Mine\"]", "output": ""} -{"perplexity": 18.039620820701685, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Google\", \"search engine\"]", "output": ""} \ No newline at end of file diff --git a/experiments/results/lm_lc/opt-125m/ppl.similar_to.jsonl b/experiments/results/lm_lc/opt-125m/ppl.similar_to.jsonl deleted file mode 100644 index 1f6063bdfcc29230bb22cbedec55e78dc50338e9..0000000000000000000000000000000000000000 --- a/experiments/results/lm_lc/opt-125m/ppl.similar_to.jsonl +++ /dev/null @@ -1,93 +0,0 @@ -{"perplexity": 18.882710725802493, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"pill\", \"tablet\"]", "output": ""} -{"perplexity": 14.07519387085428, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Eduardo Saverin\", \"Guinea-Bissau\"]", "output": ""} -{"perplexity": 15.773176300932278, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Dionysus\", \"Toyota Corolla\"]", "output": ""} -{"perplexity": 16.320026431820107, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Great Britian\", \"British Empire\"]", "output": ""} -{"perplexity": 16.135065614989614, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"English\", \"Persian\"]", "output": ""} -{"perplexity": 15.92088120188726, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Chess\", \"Rubik's Cube\"]", "output": ""} -{"perplexity": 13.719664985182613, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Star Wars\", \"Star Trek\"]", "output": ""} -{"perplexity": 16.967678543511536, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Anne Heche\", \"Ponzi scheme\"]", "output": ""} -{"perplexity": 17.247352167958894, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Chris Pine\", \"Good Friday\"]", "output": ""} -{"perplexity": 21.089342225997516, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Sudocrem\", \"Germolene\"]", "output": ""} -{"perplexity": 13.72702676140924, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Yugoslavia\", \"Albania\"]", "output": ""} -{"perplexity": 14.866353340501112, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Beatles\", \"Rolling Stones\"]", "output": ""} -{"perplexity": 19.539020939060688, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"decision tree\", \"neural network\"]", "output": ""} -{"perplexity": 14.506793429355872, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Suits\", \"Law & Order\"]", "output": ""} -{"perplexity": 14.734543083447903, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Titanic\", \"Superbad\"]", "output": ""} -{"perplexity": 16.931918448092933, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Seleucid Empire\", \"Macedonian Empire\"]", "output": ""} -{"perplexity": 15.458959583689403, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Doctor Who\", \"Timeless\"]", "output": ""} -{"perplexity": 18.28463651397697, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Srebrenica massacre\", \"Rock Hudson\"]", "output": ""} -{"perplexity": 16.97163541560541, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Arnold Classic\", \"Mr. Olympia\"]", "output": ""} -{"perplexity": 16.303902326650434, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Italy\", \"Superman\"]", "output": ""} -{"perplexity": 15.002336240470447, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Alibaba\", \"Amazon\"]", "output": ""} -{"perplexity": 14.597531121931416, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Indiana Jones\", \"Star Wars\"]", "output": ""} -{"perplexity": 17.340532073968667, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"NQ64\", \"Wetherspoons\"]", "output": ""} -{"perplexity": 14.455757074050243, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Pepsi\", \"Fanta\"]", "output": ""} -{"perplexity": 15.387262520781123, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Homebase\", \"IKEA\"]", "output": ""} -{"perplexity": 19.010330248127946, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"ramen\", \"udon\"]", "output": ""} -{"perplexity": 14.78910925039593, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"England\", \"Wales\"]", "output": ""} -{"perplexity": 18.13523466128105, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"sphinx\", \"sphynx\"]", "output": ""} -{"perplexity": 15.30661844017165, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"iPod\", \"iPad\"]", "output": ""} -{"perplexity": 14.383849082601023, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Olympic Games\", \"X Games\"]", "output": ""} -{"perplexity": 13.385825111735656, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"McDonald's\", \"Burger King\"]", "output": ""} -{"perplexity": 16.044920085962318, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Minnesota\", \"Wisconsin\"]", "output": ""} -{"perplexity": 16.221745134620143, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Slack\", \"Microsoft Teams\"]", "output": ""} -{"perplexity": 18.360717619519594, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Peter Phillips\", \"Christine Baranski\"]", "output": ""} -{"perplexity": 16.332653710279256, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Jenna Ortega\", \"Anglo-Saxons\"]", "output": ""} -{"perplexity": 18.849187194698555, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Karl Urban\", \"France 24\"]", "output": ""} -{"perplexity": 14.3124728159234, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Sudan\", \"South Sudan\"]", "output": ""} -{"perplexity": 15.514910050808457, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Gameboy\", \"Nintendo\"]", "output": ""} -{"perplexity": 16.189946278987772, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Grammy Award\", \"Novel Prize\"]", "output": ""} -{"perplexity": 17.47161117076586, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"George Ezra\", \"Lead Belly\"]", "output": ""} -{"perplexity": 14.368421736545795, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Cardiff\", \"Swansea\"]", "output": ""} -{"perplexity": 15.266396796545614, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Steve Jobs\", \"Tim Cook\"]", "output": ""} -{"perplexity": 15.66667947986208, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Counter Strike\", \"Rainbow Six\"]", "output": ""} -{"perplexity": 15.080179873140942, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Hawaii\", \"Guam\"]", "output": ""} -{"perplexity": 15.245758575856218, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Scrabble\", \"Jenga\"]", "output": ""} -{"perplexity": 15.307658549441113, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Christmas\", \"Easter\"]", "output": ""} -{"perplexity": 18.424095282990464, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"fusilli\", \"rotini\"]", "output": ""} -{"perplexity": 15.014301948343132, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Coachella\", \"Woodstock\"]", "output": ""} -{"perplexity": 15.481628519996798, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Avatar\", \"Archimedes\"]", "output": ""} -{"perplexity": 17.916753539344768, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Shark\", \"Bush\"]", "output": ""} -{"perplexity": 18.725265438249842, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Eva Braun\", \"Phil Jackson\"]", "output": ""} -{"perplexity": 12.02168351654494, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Coca-Cola\", \"Pepsi\"]", "output": ""} -{"perplexity": 15.139436645542105, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Joe Burrow\", \"Edward Scissorhands\"]", "output": ""} -{"perplexity": 13.901915999990468, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]", "output": ""} -{"perplexity": 16.516315444990838, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Edward I\", \"William the Conqueror\"]", "output": ""} -{"perplexity": 16.301772305832536, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Frank Sinatra\", \"Ella Fitzgerald\"]", "output": ""} -{"perplexity": 15.223289830234226, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"New York\", \"York\"]", "output": ""} -{"perplexity": 14.984419846758245, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Uzbekistan\", \"United States\"]", "output": ""} -{"perplexity": 15.402704102832118, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Red Bull\", \"Monster Energy\"]", "output": ""} -{"perplexity": 13.646472246778977, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Champions League\", \"Europa League\"]", "output": ""} -{"perplexity": 16.91253635953647, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Cerave\", \"Nivea\"]", "output": ""} -{"perplexity": 15.87082846814459, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Galaxy\", \"iPhone\"]", "output": ""} -{"perplexity": 18.40180730808133, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Mehmet \u00d6z\", \"David Schwimmer\"]", "output": ""} -{"perplexity": 14.911105000690183, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Disney\", \"Pixar\"]", "output": ""} -{"perplexity": 15.298362115723322, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Batman\", \"Iron Man\"]", "output": ""} -{"perplexity": 14.106074096927689, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Gisele B\u00fcndchen\", \"Orson Welles\"]", "output": ""} -{"perplexity": 13.966066069138856, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Estonia\", \"Finland\"]", "output": ""} -{"perplexity": 13.018348147982799, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]", "output": ""} -{"perplexity": 14.705256335859787, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Nicolae Ceau\u0219escu\", \"Javier Hern\u00e1ndez\"]", "output": ""} -{"perplexity": 14.491365509594504, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Adidas\", \"Nike\"]", "output": ""} -{"perplexity": 16.700274518931884, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Java\", \"Javascript\"]", "output": ""} -{"perplexity": 15.924278835693189, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"bourbon\", \"Scotch whisky\"]", "output": ""} -{"perplexity": 14.966735380562936, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Alaska\", \"Canada\"]", "output": ""} -{"perplexity": 15.398764238750942, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Spain\", \"Italy\"]", "output": ""} -{"perplexity": 17.320967185305097, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"banana\", \"plantain\"]", "output": ""} -{"perplexity": 14.443344590728183, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Firefox\", \"Chrome\"]", "output": ""} -{"perplexity": 16.64866854516726, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Pecorino Romano\", \"Parmesan\"]", "output": ""} -{"perplexity": 12.07406231803553, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Ligue 1\", \"Bundesliga\"]", "output": ""} -{"perplexity": 14.588526825202957, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Netflix\", \"Amazon Prime Video\"]", "output": ""} -{"perplexity": 17.14049064802629, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Primark\", \"Shein\"]", "output": ""} -{"perplexity": 15.64302348596688, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Dominos' Pizza\", \"Pizza Hut\"]", "output": ""} -{"perplexity": 14.550615360229447, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"South Africa\", \"Bhagavad Gita\"]", "output": ""} -{"perplexity": 15.427486275147695, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Germany\", \"France\"]", "output": ""} -{"perplexity": 15.513870654596957, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Kindle\", \"Jeff Bezos\"]", "output": ""} -{"perplexity": 13.396268348953308, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Harry Potter\", \"Lord of the Rings\"]", "output": ""} -{"perplexity": 16.18472456290934, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Yakutia\", \"Turkey\"]", "output": ""} -{"perplexity": 16.181036028769746, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"PS5\", \"XBox\"]", "output": ""} -{"perplexity": 16.471088883031662, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Monet\", \"Manet\"]", "output": ""} -{"perplexity": 15.646193956530663, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Glastonbury\", \"Roskilde\"]", "output": ""} -{"perplexity": 15.293533702031041, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Telugu\", \"Tamil\"]", "output": ""} -{"perplexity": 14.961291072298287, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Batman\", \"Superman\"]", "output": ""} -{"perplexity": 18.20605769835299, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"cannoli\", \"canneloni\"]", "output": ""} -{"perplexity": 15.659726029885492, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Gerald Ford\", \"Duran Duran\"]", "output": ""} \ No newline at end of file diff --git a/experiments/results/lm_lc/opt-350m/ppl.competitor__rival_of.jsonl b/experiments/results/lm_lc/opt-350m/ppl.competitor__rival_of.jsonl deleted file mode 100644 index edea12d3cd473d88be67c222e4b822fad2d8f420..0000000000000000000000000000000000000000 --- a/experiments/results/lm_lc/opt-350m/ppl.competitor__rival_of.jsonl +++ /dev/null @@ -1,89 +0,0 @@ -{"perplexity": 22.24835824157019, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Jeremy Corbyn\", \"Keir Starmer\"]", "output": ""} -{"perplexity": 31.90588543590488, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"EuroBasket 2022\", \"Murad III\"]", "output": ""} -{"perplexity": 22.317177942865374, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Bugatti\", \"Lamborghini\"]", "output": ""} -{"perplexity": 23.093631451244082, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Apple\", \"Microsoft\"]", "output": ""} -{"perplexity": 26.8644131299944, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Lee Chong Wei\", \"Lin Dan\"]", "output": ""} -{"perplexity": 22.621472906920157, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Microsoft\", \"Google\"]", "output": ""} -{"perplexity": 22.816916280570222, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Samsung\", \"Pitbull\"]", "output": ""} -{"perplexity": 18.717079424624647, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Cristiano Ronaldo\", \"Lionel Messi\"]", "output": ""} -{"perplexity": 23.59132115469191, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Germany\", \"Austria\"]", "output": ""} -{"perplexity": 28.12337995665001, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Dyson\", \"Dualit\"]", "output": ""} -{"perplexity": 22.86287591010559, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Netflix\", \"Disney Plus\"]", "output": ""} -{"perplexity": 22.714732773365313, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"PyTorch\", \"TensorFlow\"]", "output": ""} -{"perplexity": 20.542188073110168, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Dell\", \"HP\"]", "output": ""} -{"perplexity": 28.404094249530456, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Sanpellegrino\", \"Volvic\"]", "output": ""} -{"perplexity": 22.24413101890895, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Mikhail Khodorkovsky\", \"Hezbollah\"]", "output": ""} -{"perplexity": 21.08287709213761, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"British Airways\", \"Aer Lingus\"]", "output": ""} -{"perplexity": 20.06929999813244, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": ""} -{"perplexity": 21.78594879087098, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Federal Reserve Board\", \"Bank of England\"]", "output": ""} -{"perplexity": 24.75471179008156, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"American Psycho\", \"Chihuahua\"]", "output": ""} -{"perplexity": 26.61876582928873, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Mars\", \"Snickers\"]", "output": ""} -{"perplexity": 27.343173811954443, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"ASML\", \"LAM Research\"]", "output": ""} -{"perplexity": 26.767546410817307, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Jake Paul\", \"Tangled\"]", "output": ""} -{"perplexity": 22.969624702960814, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Nikhita Khrushchev\", \"Leonid Brezhnev\"]", "output": ""} -{"perplexity": 22.635160049567663, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Razer\", \"Dell\"]", "output": ""} -{"perplexity": 24.061614450067047, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Spotify\", \"Apple\"]", "output": ""} -{"perplexity": 22.171592777164115, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Kourtney Kardashian\", \"Jenna Fischer\"]", "output": ""} -{"perplexity": 20.883721786103248, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Twitter\", \"WhatsApp\"]", "output": ""} -{"perplexity": 21.881042916557178, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Manchester United\", \"Arsenal\"]", "output": ""} -{"perplexity": 21.016821344139945, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"WeChat\", \"WhatsApp\"]", "output": ""} -{"perplexity": 23.556620363050463, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Saudi Arabia\", \"Israel\"]", "output": ""} -{"perplexity": 21.42691141115067, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Bashar al-Assad\", \"Christianity\"]", "output": ""} -{"perplexity": 27.34668132381132, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Didier Deschamps\", \"Scott Adkins\"]", "output": ""} -{"perplexity": 18.71078835784977, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Lionel Messi\", \"Kylian Mbapp\u00e9\"]", "output": ""} -{"perplexity": 29.84504243646858, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Louis Philippe\", \"Peter England\"]", "output": ""} -{"perplexity": 28.55092510870577, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Steve Jobs\", \"Atlanta\"]", "output": ""} -{"perplexity": 24.153514173835333, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Bella Hadid\", \"Choi Woo-shik\"]", "output": ""} -{"perplexity": 24.163340423054024, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Mali\", \"Frances McDormand\"]", "output": ""} -{"perplexity": 20.67065648907341, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Coca-Cola Company\", \"Pepsi\"]", "output": ""} -{"perplexity": 18.801763386903, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Khabib Nurmagomedov\", \"Conor McGregor\"]", "output": ""} -{"perplexity": 22.1514882125451, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Twitter\", \"Facebook\"]", "output": ""} -{"perplexity": 22.515289946051848, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Cardiff University\", \"Swansea University\"]", "output": ""} -{"perplexity": 21.66643779032595, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Isaac Newton\", \"Gottfried Leibniz\"]", "output": ""} -{"perplexity": 24.223923915784454, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Casio\", \"Texas Instruments\"]", "output": ""} -{"perplexity": 20.967642844388845, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Arsenal\", \"Tottenham Hotspur\"]", "output": ""} -{"perplexity": 23.470763022197005, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Nintendo\", \"Xbox\"]", "output": ""} -{"perplexity": 23.184056061700474, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"H&M\", \"Zalora\"]", "output": ""} -{"perplexity": 21.044067680956832, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Serena Williams\", \"Andy Murray\"]", "output": ""} -{"perplexity": 20.20462119454969, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]", "output": ""} -{"perplexity": 23.537195853659938, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Apple\", \"Samsung\"]", "output": ""} -{"perplexity": 23.160620218706747, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Expedia\", \"Trivago\"]", "output": ""} -{"perplexity": 20.26870891858836, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Heathrow Airport\", \"Gatwick Airport\"]", "output": ""} -{"perplexity": 26.741151212376128, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Mario\", \"Bowser\"]", "output": ""} -{"perplexity": 26.057667960723027, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"US\", \"China\"]", "output": ""} -{"perplexity": 22.399776679609374, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Olympic Games\", \"Helicobacter pylori\"]", "output": ""} -{"perplexity": 19.55877349380031, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"BMW\", \"Mercedes-Benz\"]", "output": ""} -{"perplexity": 24.289268515243865, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Blur\", \"Oasis\"]", "output": ""} -{"perplexity": 22.318220849884252, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]", "output": ""} -{"perplexity": 22.695066365070215, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Toshiba\", \"LG\"]", "output": ""} -{"perplexity": 24.534672198440898, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Apple\", \"Rolex\"]", "output": ""} -{"perplexity": 24.606327983071118, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Tesla\", \"Skoda\"]", "output": ""} -{"perplexity": 24.314646400106668, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Thomas Jefferson\", \"Alexander Hamilton\"]", "output": ""} -{"perplexity": 22.77779290799251, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Chester FC\", \"Wrexham FC\"]", "output": ""} -{"perplexity": 23.195141367996317, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Line of Duty\", \"CSI\"]", "output": ""} -{"perplexity": 22.8142943624277, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Gladiator\", \"Imelda Staunton\"]", "output": ""} -{"perplexity": 25.33249829382888, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"UK\", \"France\"]", "output": ""} -{"perplexity": 21.805113332443664, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Nike\", \"Adidas\"]", "output": ""} -{"perplexity": 22.596720060992894, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Alain Prost\", \"Ayrton Senna\"]", "output": ""} -{"perplexity": 20.406542307121796, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Manchester City\", \"Manchester United\"]", "output": ""} -{"perplexity": 22.762125445740907, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"BBC\", \"The Guardian\"]", "output": ""} -{"perplexity": 22.239469806347543, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Amazon\", \"Ebay\"]", "output": ""} -{"perplexity": 22.5397977481654, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Sir Alex Ferguson\", \"Jose Mourinho\"]", "output": ""} -{"perplexity": 28.955884262417495, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"ASEAN\", \"Helen Hunt\"]", "output": ""} -{"perplexity": 24.075524317010846, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Hans Zimmer\", \"John Williams\"]", "output": ""} -{"perplexity": 28.28330792918247, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Noel Gallagher\", \"Liam Gallaguer\"]", "output": ""} -{"perplexity": 20.267621649475817, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"McDonald's\", \"Burger King\"]", "output": ""} -{"perplexity": 23.57812388946865, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Neoclassicism\", \"Romanticism\"]", "output": ""} -{"perplexity": 34.1294994225427, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Royal Feast\", \"Fast X\"]", "output": ""} -{"perplexity": 22.530739162496815, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Eminem\", \"MGK\"]", "output": ""} -{"perplexity": 21.06830513650524, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Sprite\", \"7 Up\"]", "output": ""} -{"perplexity": 23.09494741097722, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Katharine Hepburn\", \"Abrahamic religion\"]", "output": ""} -{"perplexity": 21.734100002388022, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Martin Luther King Jr.\", \"Malcolm X\"]", "output": ""} -{"perplexity": 23.305652920046082, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Ligue 1\", \"Hayley Atwell\"]", "output": ""} -{"perplexity": 28.983069667425394, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Vikram\", \"Coen brothers\"]", "output": ""} -{"perplexity": 24.07691344974137, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Russia\", \"China\"]", "output": ""} -{"perplexity": 24.548849684170843, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Mohamed Salah\", \"Korea\"]", "output": ""} -{"perplexity": 24.576256552310813, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Kingston\", \"Samsung\"]", "output": ""} -{"perplexity": 24.47971324502838, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"AWS\", \"GCP\"]", "output": ""} -{"perplexity": 22.392829736745856, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Beatles\", \"Rolling Stones\"]", "output": ""} -{"perplexity": 27.517874815779805, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"John Tyler\", \"Whig Party\"]", "output": ""} \ No newline at end of file diff --git a/experiments/results/lm_lc/opt-350m/ppl.friend__ally_of.jsonl b/experiments/results/lm_lc/opt-350m/ppl.friend__ally_of.jsonl deleted file mode 100644 index 5f31661e5d790fad3160fa530bb0c350e86635e2..0000000000000000000000000000000000000000 --- a/experiments/results/lm_lc/opt-350m/ppl.friend__ally_of.jsonl +++ /dev/null @@ -1,92 +0,0 @@ -{"perplexity": 19.794455412639508, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Rishi Sunak\", \"Leo Varadkar\"]", "output": ""} -{"perplexity": 22.800324946603116, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Gondor\", \"Rohan\"]", "output": ""} -{"perplexity": 20.57592619951029, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"FIFA\", \"UEFA\"]", "output": ""} -{"perplexity": 19.026427135794165, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Joseph Stalin\", \"Josip Broz Tito\"]", "output": ""} -{"perplexity": 19.891719038135342, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Hillary Clinton\", \"Barack Obama\"]", "output": ""} -{"perplexity": 22.18585402645689, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Di Maio\", \"Salvini\"]", "output": ""} -{"perplexity": 21.735048294898192, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Yahoo\", \"Yahoo Japan\"]", "output": ""} -{"perplexity": 18.096970745698037, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Armenia\", \"Azerbaijan\"]", "output": ""} -{"perplexity": 23.83015613827147, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Doja Cat\", \"Anthony Albanese\"]", "output": ""} -{"perplexity": 18.406721776885952, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Pedro S\u00e1nchez\", \"Pablo Iglesias\"]", "output": ""} -{"perplexity": 26.425442526820785, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Islamic State\", \"Denys Prokopenko\"]", "output": ""} -{"perplexity": 22.654650316048926, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Brazil\", \"India\"]", "output": ""} -{"perplexity": 16.56620771355047, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]", "output": ""} -{"perplexity": 20.793413108511835, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Sicily\", \"Calabria\"]", "output": ""} -{"perplexity": 21.356793716834538, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Oman\", \"Iran\"]", "output": ""} -{"perplexity": 25.258667616153108, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Sony\", \"ZEISS\"]", "output": ""} -{"perplexity": 28.59074699107485, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"FTX\", \"Alameda Research\"]", "output": ""} -{"perplexity": 22.45175211059882, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"UK\", \"Commonwealth\"]", "output": ""} -{"perplexity": 19.937228411700872, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Australia\", \"New Zealand\"]", "output": ""} -{"perplexity": 21.443075924204038, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Kylo Ren\", \"Rey\"]", "output": ""} -{"perplexity": 24.01532914545861, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Anne Boleyn\", \"Columbia Pictures\"]", "output": ""} -{"perplexity": 21.337626391894894, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"KGB\", \"CIA\"]", "output": ""} -{"perplexity": 20.87411937361988, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Rishi Sunak\", \"Joe Biden\"]", "output": ""} -{"perplexity": 20.818776446367906, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Quentin Tarantino\", \"Edgar Wright\"]", "output": ""} -{"perplexity": 19.809742619630164, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Keir Starmer\", \"Jeremy Corbyn\"]", "output": ""} -{"perplexity": 18.62577253435878, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"U.S.S.R.\", \"East Germany\"]", "output": ""} -{"perplexity": 20.528028982231397, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Harry Potter\", \"Severus Snape\"]", "output": ""} -{"perplexity": 21.123127862858688, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Tata Motors\", \"Jaguar\"]", "output": ""} -{"perplexity": 25.546509390588394, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Kendall Jenner\", \"Bergen\"]", "output": ""} -{"perplexity": 23.800170743432155, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Thomas Jefferson\", \"Kid Cudi\"]", "output": ""} -{"perplexity": 21.300648460421254, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"South Korea\", \"Japan\"]", "output": ""} -{"perplexity": 21.796656616047255, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Spain\", \"Portugal\"]", "output": ""} -{"perplexity": 22.88859697412368, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Liam Gallagher\", \"Noel Gallagher\"]", "output": ""} -{"perplexity": 20.345064741836026, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"France\", \"Belgium\"]", "output": ""} -{"perplexity": 21.678316946992492, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Turkish Airlines\", \"All Nippon Airways\"]", "output": ""} -{"perplexity": 19.543209348495722, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Malaysia\", \"Singapore\"]", "output": ""} -{"perplexity": 20.680116000236975, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"JP Morgan\", \"Morgan Stanley\"]", "output": ""} -{"perplexity": 20.42056404812875, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Sophia Loren\", \"Marlon Brando\"]", "output": ""} -{"perplexity": 17.444485316866054, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"J.R.R. Tolkien\", \"C.S. Lewis\"]", "output": ""} -{"perplexity": 20.683419715092924, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"China\", \"North Korea\"]", "output": ""} -{"perplexity": 19.714172349956353, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Margaret Thatcher\", \"Ronald Reagan\"]", "output": ""} -{"perplexity": 24.327130681617668, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Eva Per\u00f3n\", \"Interpol\"]", "output": ""} -{"perplexity": 22.978487203645425, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"UK\", \"Ireland\"]", "output": ""} -{"perplexity": 21.713496521331844, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Singapore\", \"Israel\"]", "output": ""} -{"perplexity": 20.108282060205358, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Eastern Orthodoxy\", \"Oriental Orthodoxy\"]", "output": ""} -{"perplexity": 22.257414732637407, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"India\", \"US\"]", "output": ""} -{"perplexity": 23.677924345738585, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Ed Gein\", \"Colonel Sanders\"]", "output": ""} -{"perplexity": 21.472415751075474, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Beatles\", \"Rolling Stones\"]", "output": ""} -{"perplexity": 23.2095961589743, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Red Bull\", \"GoPro\"]", "output": ""} -{"perplexity": 22.567953093215852, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"HSBC\", \"BlackRock\"]", "output": ""} -{"perplexity": 22.65875026576022, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]", "output": ""} -{"perplexity": 24.317892972363726, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Macbeth\", \"Banquo\"]", "output": ""} -{"perplexity": 20.80897071615954, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Aznar\", \"Bush\"]", "output": ""} -{"perplexity": 23.156440500823933, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Google\", \"Samsung\"]", "output": ""} -{"perplexity": 20.797077050389667, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"IMF\", \"The World Bank\"]", "output": ""} -{"perplexity": 26.63698625424077, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Nikon\", \"Tokina\"]", "output": ""} -{"perplexity": 23.1963082595556, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Walter White\", \"Gus Fring\"]", "output": ""} -{"perplexity": 23.309364958071555, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Ron Weasley\", \"Neville Longbottom\"]", "output": ""} -{"perplexity": 18.20235548979318, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Darth Vader\", \"Emperor Palpatine\"]", "output": ""} -{"perplexity": 18.93258197268667, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Coca-Cola\", \"McDonald's\"]", "output": ""} -{"perplexity": 21.151858453188158, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Instagram\", \"WhatsApp\"]", "output": ""} -{"perplexity": 24.927181477783133, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Noah Schnapp\", \"Galatasaray S.K.\"]", "output": ""} -{"perplexity": 23.06884045898853, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"US\", \"Canada\"]", "output": ""} -{"perplexity": 24.185276699506776, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Bob Marley\", \"Abu Bakr\"]", "output": ""} -{"perplexity": 22.82303163381462, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Jeff Bezos\", \"GitHub\"]", "output": ""} -{"perplexity": 22.460468347427113, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Hong Kong\", \"HSBC\"]", "output": ""} -{"perplexity": 19.965835897906384, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"United States\", \"United Kingdom\"]", "output": ""} -{"perplexity": 22.13078980829559, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Porter Wagoner\", \"Dolly Parton\"]", "output": ""} -{"perplexity": 23.838230991389334, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Achilles\", \"Jonathan Bailey\"]", "output": ""} -{"perplexity": 24.47622915117619, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Linus Sebastian\", \"Marques Brownlee\"]", "output": ""} -{"perplexity": 20.408945906283197, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Catherine Zeta-Jones\", \"Johnny Knoxville\"]", "output": ""} -{"perplexity": 22.901894249844048, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Amazon\", \"Royal Mail\"]", "output": ""} -{"perplexity": 22.051406750943126, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"The Beatles\", \"Queen\"]", "output": ""} -{"perplexity": 20.442055797670008, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Benedict Cumberbatch\", \"Hanukkah\"]", "output": ""} -{"perplexity": 21.167759950901726, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Huawei\", \"China\"]", "output": ""} -{"perplexity": 20.968002780922408, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Rishi Sunak\", \"Emmanuel Macron\"]", "output": ""} -{"perplexity": 23.272221231247993, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Microsoft\", \"LinkedIn\"]", "output": ""} -{"perplexity": 26.39101484251456, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Paul Rudd\", \"Memento\"]", "output": ""} -{"perplexity": 22.725019353428983, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Russia\", \"Georgia\"]", "output": ""} -{"perplexity": 21.52437410299643, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Germany\", \"France\"]", "output": ""} -{"perplexity": 21.254165229501524, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Stephen Hawking\", \"Brian Cox\"]", "output": ""} -{"perplexity": 18.983517272723304, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Jean-Michel Basquiat\", \"Andy Warhol\"]", "output": ""} -{"perplexity": 21.835177581636746, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Mark Drakeford\", \"Rishi Sunak\"]", "output": ""} -{"perplexity": 24.793535938935587, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"J\u00fcrgen Klopp\", \"Exo\"]", "output": ""} -{"perplexity": 25.17712731115187, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Windows\", \"Xbox\"]", "output": ""} -{"perplexity": 23.174992717814366, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Saturn\", \"Rachel Bilson\"]", "output": ""} -{"perplexity": 21.264895597383727, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Ottoman Empire\", \"Snowpiercer\"]", "output": ""} -{"perplexity": 22.024772757944913, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Johnny Cash\", \"Waylon Jennings\"]", "output": ""} -{"perplexity": 21.31990964472942, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"UN\", \"NATO\"]", "output": ""} -{"perplexity": 20.555430658720024, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Boris Johnson\", \"Emmanuel Macron\"]", "output": ""} -{"perplexity": 18.851474777682572, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Cersei Lannister\", \"Euron Greyjoy\"]", "output": ""} -{"perplexity": 21.042126076703465, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Japan\", \"Taiwan\"]", "output": ""} \ No newline at end of file diff --git a/experiments/results/lm_lc/opt-350m/ppl.influenced_by.jsonl b/experiments/results/lm_lc/opt-350m/ppl.influenced_by.jsonl deleted file mode 100644 index 08129ed8f601f03d6c186ee759b2848297318b86..0000000000000000000000000000000000000000 --- a/experiments/results/lm_lc/opt-350m/ppl.influenced_by.jsonl +++ /dev/null @@ -1,93 +0,0 @@ -{"perplexity": 16.828174782405014, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Prince Harry\", \"Monarchy\"]", "output": ""} -{"perplexity": 16.99938368696617, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"F1\", \"social media\"]", "output": ""} -{"perplexity": 13.162571628885688, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Elton John\", \"Elvis Presley\"]", "output": ""} -{"perplexity": 16.013070796055175, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Jack Black\", \"Waffen-SS\"]", "output": ""} -{"perplexity": 13.216864345749364, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Game of Thrones\", \"Lord of the Rings\"]", "output": ""} -{"perplexity": 14.77875701797765, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Canon\", \"Nikon\"]", "output": ""} -{"perplexity": 13.972623924695771, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Thomas Aquinas\", \"Aristotle\"]", "output": ""} -{"perplexity": 15.71732868574683, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Android\", \"iOS\"]", "output": ""} -{"perplexity": 19.1205140943949, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Charles Baudelaire\", \"Tornado MRCA\"]", "output": ""} -{"perplexity": 16.29188767795903, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"trending music\", \"TikTok\"]", "output": ""} -{"perplexity": 14.633649275340048, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Xi Jinping\", \"Kim Jong-il\"]", "output": ""} -{"perplexity": 14.329811270745262, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Beethoven\", \"romanticism\"]", "output": ""} -{"perplexity": 13.86042777185474, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Edgar Allan Poe\", \"Romanticism\"]", "output": ""} -{"perplexity": 16.408599345045733, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"US\", \"NASA\"]", "output": ""} -{"perplexity": 15.544393507413627, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Wales\", \"Westminster\"]", "output": ""} -{"perplexity": 16.52224683125343, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Sierra Leone\", \"Pulp fiction\"]", "output": ""} -{"perplexity": 13.888515411198428, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]", "output": ""} -{"perplexity": 14.536901390018512, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Theresa May\", \"David Cameron\"]", "output": ""} -{"perplexity": 16.897325443752027, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Anna Delvey\", \"Bernie Madoff\"]", "output": ""} -{"perplexity": 14.105186253231812, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Lord of the Rings\", \"Beowulf\"]", "output": ""} -{"perplexity": 15.447442367957219, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Andrew Johnson\", \"Abraham Lincoln\"]", "output": ""} -{"perplexity": 15.919909498069813, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"LinkedIn\", \"Facebook\"]", "output": ""} -{"perplexity": 14.281774076802964, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Picasso\", \"Cezanne\"]", "output": ""} -{"perplexity": 15.60112556654823, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Playstation\", \"Xbox\"]", "output": ""} -{"perplexity": 16.413216290097164, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Kevin Spacey\", \"Tenerife\"]", "output": ""} -{"perplexity": 15.739667230255344, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Saudi Arabia\", \"US\"]", "output": ""} -{"perplexity": 15.499389237636125, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Fitbit\", \"heart rate monitor\"]", "output": ""} -{"perplexity": 14.635048404702244, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Taiwan\", \"China\"]", "output": ""} -{"perplexity": 12.294812757147874, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Kylian Mbappe\", \"Cristiano Ronaldo\"]", "output": ""} -{"perplexity": 16.239158518631854, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Picasso\", \"cubism\"]", "output": ""} -{"perplexity": 15.588569538816223, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Miley Cyrus\", \"Lorde\"]", "output": ""} -{"perplexity": 13.42730762695759, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Neymar\", \"Alexis S\u00e1nchez\"]", "output": ""} -{"perplexity": 13.983634985728028, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Smashing Pumpkins\", \"Beatles\"]", "output": ""} -{"perplexity": 14.153385340646016, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Portuguese\", \"The Prestige\"]", "output": ""} -{"perplexity": 18.066048181246188, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Luke Evans\", \"Ava Gardner\"]", "output": ""} -{"perplexity": 16.448724030015793, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"MacOS\", \"Linux\"]", "output": ""} -{"perplexity": 16.747919157461524, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Transport for Wales\", \"National Rail\"]", "output": ""} -{"perplexity": 14.63755740303954, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Herbie Hancock\", \"Miles Davis\"]", "output": ""} -{"perplexity": 14.626324348090426, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"India\", \"Hinduism\"]", "output": ""} -{"perplexity": 15.804216862149714, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"hip hop\", \"jazz\"]", "output": ""} -{"perplexity": 14.03725422322106, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Bob Dylan\", \"Woody Guthrie\"]", "output": ""} -{"perplexity": 17.72960842499067, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Tim Burton\", \"German expressionism\"]", "output": ""} -{"perplexity": 20.483187844007624, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Eamon de Valera\", \"James Napper Tandy\"]", "output": ""} -{"perplexity": 14.969897270644143, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Joe Biden\", \"Donald Trump\"]", "output": ""} -{"perplexity": 15.766607868821971, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Shaquille O'Neal\", \"Selim II\"]", "output": ""} -{"perplexity": 15.794923892685082, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Cobra Kai\", \"Anna Chlumsky\"]", "output": ""} -{"perplexity": 13.51207611612256, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Harry Potter\", \"Wizard of Oz\"]", "output": ""} -{"perplexity": 13.421184898930287, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Coca-Cola\", \"Pepsi\"]", "output": ""} -{"perplexity": 15.502294048898245, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Apple Music\", \"Spotify\"]", "output": ""} -{"perplexity": 15.86587611538682, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Singaporean food\", \"Malaysian food\"]", "output": ""} -{"perplexity": 16.193493992922054, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Guess\", \"Gucci\"]", "output": ""} -{"perplexity": 14.685485245146717, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Commonwealth\", \"United Kingdom\"]", "output": ""} -{"perplexity": 15.878803149094125, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"machine learning\", \"Google\"]", "output": ""} -{"perplexity": 15.66676165508173, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Antonio Salazar\", \"fascism\"]", "output": ""} -{"perplexity": 15.78969405789814, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Facebook\", \"LinkedIn\"]", "output": ""} -{"perplexity": 15.696619754097224, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Hank Williams\", \"Jimmie Rodgers\"]", "output": ""} -{"perplexity": 19.040671765877615, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"painters\", \"Stable Diffusion\"]", "output": ""} -{"perplexity": 16.558262839564836, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Walmart\", \"Rivaldo\"]", "output": ""} -{"perplexity": 15.004664941219136, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Sauron\", \"Shiba Inu\"]", "output": ""} -{"perplexity": 14.432979747258601, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Bruno Mars\", \"James Brown\"]", "output": ""} -{"perplexity": 15.45105577157993, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Brazil\", \"Spain\"]", "output": ""} -{"perplexity": 17.007357746449408, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"heavy metal\", \"punk music\"]", "output": ""} -{"perplexity": 15.62731489702561, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Moon\", \"G\u00f6bekli Tepe\"]", "output": ""} -{"perplexity": 15.058709091578114, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"English\", \"William Shakespeare\"]", "output": ""} -{"perplexity": 14.31113523353223, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Beatles\", \"Alice in Wonderland\"]", "output": ""} -{"perplexity": 12.913078720726691, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"impressionism\", \"Edouard Manet\"]", "output": ""} -{"perplexity": 15.12001183659962, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Gilbert Gottfried\", \"Mike Krieger\"]", "output": ""} -{"perplexity": 15.36475373909572, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Vladimir Lenin\", \"chess\"]", "output": ""} -{"perplexity": 13.207004937964447, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Pepsi\", \"Coca-Cola\"]", "output": ""} -{"perplexity": 14.154293091430844, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Alicia Vikander\", \"Richard Attenborough\"]", "output": ""} -{"perplexity": 15.86947388962129, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Luke Bryan\", \"Hank Williams\"]", "output": ""} -{"perplexity": 14.081561239973773, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Bill Gates\", \"Steve Jobs\"]", "output": ""} -{"perplexity": 16.727575132698266, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Allu Arjun\", \"Aaron Ramsey\"]", "output": ""} -{"perplexity": 16.407222338368847, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Stephen King\", \"Arthur Machen\"]", "output": ""} -{"perplexity": 14.757004672090156, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Bangladesh\", \"India\"]", "output": ""} -{"perplexity": 16.886109415702233, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"hamburger\", \"Germany\"]", "output": ""} -{"perplexity": 13.639384553489393, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Plato\", \"Socrates\"]", "output": ""} -{"perplexity": 13.608724544911809, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]", "output": ""} -{"perplexity": 15.754125241201557, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Oasis\", \"Blur\"]", "output": ""} -{"perplexity": 14.429226005720201, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Quentin Tarantino\", \"Sergio Leone\"]", "output": ""} -{"perplexity": 15.097159690019557, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"European Union\", \"Germany\"]", "output": ""} -{"perplexity": 16.928887019655896, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Stephen Foster\", \"Thomas Moore\"]", "output": ""} -{"perplexity": 14.974502119852646, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Hoover\", \"Dyson\"]", "output": ""} -{"perplexity": 14.52619580379168, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Mark Rothko\", \"Claude Monet\"]", "output": ""} -{"perplexity": 15.222088508128728, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"James Brown\", \"Michael Jackson\"]", "output": ""} -{"perplexity": 15.75424167999266, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Windows\", \"Linux\"]", "output": ""} -{"perplexity": 14.441708991539747, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Radiohead\", \"David Bowie\"]", "output": ""} -{"perplexity": 16.659726861135574, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"NVIDIA\", \"AMD\"]", "output": ""} -{"perplexity": 15.316701353357395, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"India\", \"Gandhi\"]", "output": ""} -{"perplexity": 15.980450307509848, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Viktor Yushchenko\", \"Bonnie Wright\"]", "output": ""} -{"perplexity": 13.232017433356106, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Beethoven\", \"Mozart\"]", "output": ""} -{"perplexity": 15.515143092255617, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Bitcoin\", \"blockchain\"]", "output": ""} -{"perplexity": 14.266894996759126, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Hong Kong\", \"China\"]", "output": ""} \ No newline at end of file diff --git a/experiments/results/lm_lc/opt-350m/ppl.known_for.jsonl b/experiments/results/lm_lc/opt-350m/ppl.known_for.jsonl deleted file mode 100644 index 739b64f76971160076daca4850a9d2c5cc51074c..0000000000000000000000000000000000000000 --- a/experiments/results/lm_lc/opt-350m/ppl.known_for.jsonl +++ /dev/null @@ -1,108 +0,0 @@ -{"perplexity": 13.745307571242138, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Hawaii\", \"ukulele\"]", "output": ""} -{"perplexity": 12.099378031421361, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]", "output": ""} -{"perplexity": 15.062551176976855, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Sweden\", \"pop\"]", "output": ""} -{"perplexity": 15.379259697193994, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Memphis Depay\", \"Mendelian inheritance\"]", "output": ""} -{"perplexity": 14.251399413567007, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"beaches\"]", "output": ""} -{"perplexity": 14.544105246791318, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"cars\"]", "output": ""} -{"perplexity": 13.5140478363209, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Alphabet Inc.\", \"Google\"]", "output": ""} -{"perplexity": 11.808547945038386, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Vincent Van Gogh\", \"The Starry Night\"]", "output": ""} -{"perplexity": 14.303838739524902, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Italy\", \"Hawaiian pizza\"]", "output": ""} -{"perplexity": 16.416977321238743, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Japan\", \"glass product\"]", "output": ""} -{"perplexity": 17.564168375044076, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"rococo movement\"]", "output": ""} -{"perplexity": 14.515788808732605, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Europe\", \"The Final Countdown\"]", "output": ""} -{"perplexity": 13.064960704769684, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Sophie Turner\", \"Sylvia Plath\"]", "output": ""} -{"perplexity": 13.234541481096489, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Bill Nye\", \"scientist\"]", "output": ""} -{"perplexity": 14.775226862353827, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Mercedes Benz\", \"build quality\"]", "output": ""} -{"perplexity": 13.939459946949379, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Hawaii\", \"beaches\"]", "output": ""} -{"perplexity": 14.732582966070696, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Jackson Pollock\", \"action painting\"]", "output": ""} -{"perplexity": 15.17782558770402, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Andhra Pradesh\", \"Martinique\"]", "output": ""} -{"perplexity": 12.23518835490498, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Keanu Reeves\", \"The Matrix\"]", "output": ""} -{"perplexity": 14.543831310163462, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Christopher Columbus\", \"India\"]", "output": ""} -{"perplexity": 12.956157026463261, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Picasso\", \"Guernica\"]", "output": ""} -{"perplexity": 14.026816270237433, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Italy\", \"Renaissance\"]", "output": ""} -{"perplexity": 14.804677670046996, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Korea\", \"Breakdance\"]", "output": ""} -{"perplexity": 14.124731729363692, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Spain\", \"olive oil\"]", "output": ""} -{"perplexity": 12.00434410266912, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"C.S. Lewis\", \"The Screwtape Letters\"]", "output": ""} -{"perplexity": 12.821942375367778, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Corsica\", \"Napoleon Bonaparte\"]", "output": ""} -{"perplexity": 12.708313114723769, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Rafael Nadal\", \"Ralph Macchio\"]", "output": ""} -{"perplexity": 16.535349899530495, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Walther P38\", \"Lupin the Third\"]", "output": ""} -{"perplexity": 15.874745288273886, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Richard Harris\", \"Curcuma longa\"]", "output": ""} -{"perplexity": 16.95122575292247, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Smashing Pumpkins\", \"Thru the eyes of Ruby\"]", "output": ""} -{"perplexity": 15.779589458500139, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"India\", \"rum\"]", "output": ""} -{"perplexity": 15.085707007990663, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Parasite\", \"Jersey\"]", "output": ""} -{"perplexity": 14.524820932819544, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"India\", \"Gurkhas\"]", "output": ""} -{"perplexity": 13.59437812235367, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Amazon\", \"Alexa\"]", "output": ""} -{"perplexity": 13.201243899350454, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Thomas Edison\", \"telephone\"]", "output": ""} -{"perplexity": 15.002382739406471, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Buffon\", \"PSG\"]", "output": ""} -{"perplexity": 12.819481735134548, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Alfred Hitchcock\", \"horror\"]", "output": ""} -{"perplexity": 11.654471278095727, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"William Shakespeare\", \"Romeo and Juliet\"]", "output": ""} -{"perplexity": 12.886592003714819, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Thomas Edison\", \"light bulb\"]", "output": ""} -{"perplexity": 13.917778176745868, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Michael Jordan\", \"Tessa Thompson\"]", "output": ""} -{"perplexity": 12.296671349287807, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Inglourious Basterds\", \"Sergio Busquets\"]", "output": ""} -{"perplexity": 12.952580471469629, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Boris Johnson\", \"Brexit\"]", "output": ""} -{"perplexity": 14.83632706629082, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Georgia\", \"Joseph Stalin\"]", "output": ""} -{"perplexity": 14.117594224577719, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"China\", \"coffee\"]", "output": ""} -{"perplexity": 18.960507349075616, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"OpenAI\", \"ChatGPT\"]", "output": ""} -{"perplexity": 12.913552851984434, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Tesco\", \"groceries\"]", "output": ""} -{"perplexity": 13.356903752950346, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Amazon\", \"cloud computing\"]", "output": ""} -{"perplexity": 13.418954781929408, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Nvidia\", \"GPUs\"]", "output": ""} -{"perplexity": 13.650901077494199, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Tony Blair\", \"Iraq War\"]", "output": ""} -{"perplexity": 15.031368856939766, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Germany\", \"techno music\"]", "output": ""} -{"perplexity": 13.779336809637188, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Michelangelo\", \"Pop Art\"]", "output": ""} -{"perplexity": 15.572826523374818, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Gilmore Girls\", \"OpenAI\"]", "output": ""} -{"perplexity": 15.579529661970248, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Ragnar\u00f6k\", \"Little Boy\"]", "output": ""} -{"perplexity": 12.861100942497764, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Pizzagate\", \"Hillary Clinton\"]", "output": ""} -{"perplexity": 14.9511997263028, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"George Orwell\", \"Coming Up for Air\"]", "output": ""} -{"perplexity": 14.646665294903771, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Italy\", \"wine\"]", "output": ""} -{"perplexity": 11.96388568436694, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Coca-Cola\", \"Pepsi\"]", "output": ""} -{"perplexity": 13.970362132573474, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Spotify\", \"Podcasts\"]", "output": ""} -{"perplexity": 15.219744206917484, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Valencia\", \"paella\"]", "output": ""} -{"perplexity": 14.285632508555217, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"The Office\", \"IBM\"]", "output": ""} -{"perplexity": 14.77355368001623, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Romania\", \"Roman Catholicism\"]", "output": ""} -{"perplexity": 14.100320920571649, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"George Washington\", \"Kiribati\"]", "output": ""} -{"perplexity": 13.188852024535931, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Charles Bronson\", \"Rory McIlroy\"]", "output": ""} -{"perplexity": 13.60186076044543, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Belgium\", \"wine\"]", "output": ""} -{"perplexity": 13.239783572911964, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Luka Modri\u0107\", \"Rottweiler\"]", "output": ""} -{"perplexity": 13.888091573811604, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Switzerland\", \"mountains\"]", "output": ""} -{"perplexity": 13.472853040078487, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Assassin's Creed\", \"history\"]", "output": ""} -{"perplexity": 13.820615260184395, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Red Bull\", \"energy drinks\"]", "output": ""} -{"perplexity": 13.4918632627274, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Johnny Cash\", \"Ring of Fire\"]", "output": ""} -{"perplexity": 13.548085953615992, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Microsoft\", \"Xbox\"]", "output": ""} -{"perplexity": 14.192494929515451, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Canada\", \"maple syrup\"]", "output": ""} -{"perplexity": 13.689441361555359, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"cheese\"]", "output": ""} -{"perplexity": 14.429229445916173, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"beer\"]", "output": ""} -{"perplexity": 13.17472835599693, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Nintendo\", \"Super Mario Bros.\"]", "output": ""} -{"perplexity": 14.929125939511634, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"democracy\", \"North Korea\"]", "output": ""} -{"perplexity": 12.584101418972363, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Apple\", \"iPhone\"]", "output": ""} -{"perplexity": 12.517047349364914, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Harry Potter\", \"Bloomsbury\"]", "output": ""} -{"perplexity": 14.436644973975945, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"mountains\"]", "output": ""} -{"perplexity": 15.546806347668532, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"UK\", \"rain\"]", "output": ""} -{"perplexity": 13.403006018474887, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Matt Damon\", \"Ocean's Eleven\"]", "output": ""} -{"perplexity": 15.711858575218638, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Switzerland\", \"banking secrecy\"]", "output": ""} -{"perplexity": 13.8163981866321, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Adidas\", \"Yeezy Boost\"]", "output": ""} -{"perplexity": 13.92976224069319, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Portugal\", \"Fado\"]", "output": ""} -{"perplexity": 14.051893808725158, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Italy\", \"tea\"]", "output": ""} -{"perplexity": 13.610434542186688, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Beatles\", \"Come Together\"]", "output": ""} -{"perplexity": 14.169362154311697, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Afro-Brazilians\", \"Capoeira\"]", "output": ""} -{"perplexity": 12.911108491603597, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Steve Jobs\", \"AirPods\"]", "output": ""} -{"perplexity": 12.449756910865416, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Apple\", \"Apple Watch\"]", "output": ""} -{"perplexity": 17.615079774692674, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Frank Abagnale Jr\", \"doctor\"]", "output": ""} -{"perplexity": 14.480251548956323, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Meta\", \"Instagram\"]", "output": ""} -{"perplexity": 11.516968046352737, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Jeff Goldblum\", \"Jurassic Park\"]", "output": ""} -{"perplexity": 11.012567522955877, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]", "output": ""} -{"perplexity": 14.199517957118863, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Neil Armstrong\", \"Korean War\"]", "output": ""} -{"perplexity": 13.780618116668524, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"baguette\"]", "output": ""} -{"perplexity": 12.192585580959348, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Queen\", \"Bohemian Rhapsody\"]", "output": ""} -{"perplexity": 13.593370161353183, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Pixar\", \"Novosibirsk\"]", "output": ""} -{"perplexity": 12.692985022677453, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Greggs\", \"sausage rolls\"]", "output": ""} -{"perplexity": 15.036006954701833, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Japan\", \"sake\"]", "output": ""} -{"perplexity": 14.644346765778597, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"IKEA\", \"food\"]", "output": ""} -{"perplexity": 17.52353686426866, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"William Grant & Sons\", \"gin\"]", "output": ""} -{"perplexity": 13.367878979273554, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Netherlands\", \"tulips\"]", "output": ""} -{"perplexity": 15.356846833185822, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"LAMY\", \"notebook\"]", "output": ""} -{"perplexity": 12.843193814847943, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Harvey Weinstein\", \"Miramax\"]", "output": ""} -{"perplexity": 14.725875577330445, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Scotland\", \"whisky\"]", "output": ""} -{"perplexity": 12.927655434891241, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Apple\", \"MacBook\"]", "output": ""} -{"perplexity": 13.203119896034954, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Steve Jobs\", \"Apple\"]", "output": ""} -{"perplexity": 14.330040177620752, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Beatles\", \"I Me Mine\"]", "output": ""} -{"perplexity": 12.848473884495979, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Google\", \"search engine\"]", "output": ""} \ No newline at end of file diff --git a/experiments/results/lm_lc/opt-350m/ppl.similar_to.jsonl b/experiments/results/lm_lc/opt-350m/ppl.similar_to.jsonl deleted file mode 100644 index cd4956ea8c11c95bffb3d897d8e5b634fa418fd0..0000000000000000000000000000000000000000 --- a/experiments/results/lm_lc/opt-350m/ppl.similar_to.jsonl +++ /dev/null @@ -1,93 +0,0 @@ -{"perplexity": 13.938692256629674, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"pill\", \"tablet\"]", "output": ""} -{"perplexity": 9.827805029817025, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Eduardo Saverin\", \"Guinea-Bissau\"]", "output": ""} -{"perplexity": 11.290209002823037, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Dionysus\", \"Toyota Corolla\"]", "output": ""} -{"perplexity": 11.184187515597305, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Great Britian\", \"British Empire\"]", "output": ""} -{"perplexity": 12.290914730528366, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"English\", \"Persian\"]", "output": ""} -{"perplexity": 10.990579093328174, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Chess\", \"Rubik's Cube\"]", "output": ""} -{"perplexity": 10.29291410533131, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Star Wars\", \"Star Trek\"]", "output": ""} -{"perplexity": 11.917521364262823, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Anne Heche\", \"Ponzi scheme\"]", "output": ""} -{"perplexity": 13.225668427583543, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Chris Pine\", \"Good Friday\"]", "output": ""} -{"perplexity": 15.237244448812787, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Sudocrem\", \"Germolene\"]", "output": ""} -{"perplexity": 10.07472672626039, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Yugoslavia\", \"Albania\"]", "output": ""} -{"perplexity": 10.653958475375315, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Beatles\", \"Rolling Stones\"]", "output": ""} -{"perplexity": 13.225542298382008, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"decision tree\", \"neural network\"]", "output": ""} -{"perplexity": 11.436129424749122, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Suits\", \"Law & Order\"]", "output": ""} -{"perplexity": 11.277841597143476, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Titanic\", \"Superbad\"]", "output": ""} -{"perplexity": 12.587030036472388, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Seleucid Empire\", \"Macedonian Empire\"]", "output": ""} -{"perplexity": 11.311844825692194, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Doctor Who\", \"Timeless\"]", "output": ""} -{"perplexity": 13.613631223287502, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Srebrenica massacre\", \"Rock Hudson\"]", "output": ""} -{"perplexity": 12.0872048860729, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Arnold Classic\", \"Mr. Olympia\"]", "output": ""} -{"perplexity": 11.780365917430101, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Italy\", \"Superman\"]", "output": ""} -{"perplexity": 10.51819127296311, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Alibaba\", \"Amazon\"]", "output": ""} -{"perplexity": 10.45130545339824, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Indiana Jones\", \"Star Wars\"]", "output": ""} -{"perplexity": 12.334416871694545, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"NQ64\", \"Wetherspoons\"]", "output": ""} -{"perplexity": 10.332359369544381, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Pepsi\", \"Fanta\"]", "output": ""} -{"perplexity": 10.630255252808722, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Homebase\", \"IKEA\"]", "output": ""} -{"perplexity": 14.775406520564404, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"ramen\", \"udon\"]", "output": ""} -{"perplexity": 10.569214068517, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"England\", \"Wales\"]", "output": ""} -{"perplexity": 11.667613325292532, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"sphinx\", \"sphynx\"]", "output": ""} -{"perplexity": 11.211656999051181, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"iPod\", \"iPad\"]", "output": ""} -{"perplexity": 10.414025222471743, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Olympic Games\", \"X Games\"]", "output": ""} -{"perplexity": 9.77065883018245, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"McDonald's\", \"Burger King\"]", "output": ""} -{"perplexity": 11.649879087036737, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Minnesota\", \"Wisconsin\"]", "output": ""} -{"perplexity": 11.791681815005315, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Slack\", \"Microsoft Teams\"]", "output": ""} -{"perplexity": 12.695318470841723, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Peter Phillips\", \"Christine Baranski\"]", "output": ""} -{"perplexity": 11.815898366333911, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Jenna Ortega\", \"Anglo-Saxons\"]", "output": ""} -{"perplexity": 13.638269203334353, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Karl Urban\", \"France 24\"]", "output": ""} -{"perplexity": 10.258688448076699, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Sudan\", \"South Sudan\"]", "output": ""} -{"perplexity": 11.27238455847838, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Gameboy\", \"Nintendo\"]", "output": ""} -{"perplexity": 12.431826743291262, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Grammy Award\", \"Novel Prize\"]", "output": ""} -{"perplexity": 12.966212495283944, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"George Ezra\", \"Lead Belly\"]", "output": ""} -{"perplexity": 11.531464314756594, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Cardiff\", \"Swansea\"]", "output": ""} -{"perplexity": 10.715621939423741, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Steve Jobs\", \"Tim Cook\"]", "output": ""} -{"perplexity": 12.253319860958793, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Counter Strike\", \"Rainbow Six\"]", "output": ""} -{"perplexity": 11.654221202955345, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Hawaii\", \"Guam\"]", "output": ""} -{"perplexity": 10.750813255114942, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Scrabble\", \"Jenga\"]", "output": ""} -{"perplexity": 11.154920841033684, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Christmas\", \"Easter\"]", "output": ""} -{"perplexity": 14.264616178575366, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"fusilli\", \"rotini\"]", "output": ""} -{"perplexity": 11.459782443422126, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Coachella\", \"Woodstock\"]", "output": ""} -{"perplexity": 12.221762498390275, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Avatar\", \"Archimedes\"]", "output": ""} -{"perplexity": 13.079356488779677, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Shark\", \"Bush\"]", "output": ""} -{"perplexity": 13.404175631893205, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Eva Braun\", \"Phil Jackson\"]", "output": ""} -{"perplexity": 8.922370638522652, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Coca-Cola\", \"Pepsi\"]", "output": ""} -{"perplexity": 11.770677224705581, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Joe Burrow\", \"Edward Scissorhands\"]", "output": ""} -{"perplexity": 10.044933197597114, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]", "output": ""} -{"perplexity": 11.481641940206815, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Edward I\", \"William the Conqueror\"]", "output": ""} -{"perplexity": 11.419667253712985, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Frank Sinatra\", \"Ella Fitzgerald\"]", "output": ""} -{"perplexity": 12.893608208981826, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"New York\", \"York\"]", "output": ""} -{"perplexity": 11.217031151988214, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Uzbekistan\", \"United States\"]", "output": ""} -{"perplexity": 10.692683952605792, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Red Bull\", \"Monster Energy\"]", "output": ""} -{"perplexity": 9.811166496076991, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Champions League\", \"Europa League\"]", "output": ""} -{"perplexity": 11.442421388254262, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Cerave\", \"Nivea\"]", "output": ""} -{"perplexity": 11.800144220388416, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Galaxy\", \"iPhone\"]", "output": ""} -{"perplexity": 12.690700414497726, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Mehmet \u00d6z\", \"David Schwimmer\"]", "output": ""} -{"perplexity": 10.664787348072803, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Disney\", \"Pixar\"]", "output": ""} -{"perplexity": 11.50699940262194, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Batman\", \"Iron Man\"]", "output": ""} -{"perplexity": 10.371542838245075, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Gisele B\u00fcndchen\", \"Orson Welles\"]", "output": ""} -{"perplexity": 10.064657764697593, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Estonia\", \"Finland\"]", "output": ""} -{"perplexity": 9.636952932719806, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]", "output": ""} -{"perplexity": 10.476145633391418, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Nicolae Ceau\u0219escu\", \"Javier Hern\u00e1ndez\"]", "output": ""} -{"perplexity": 10.390779011785074, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Adidas\", \"Nike\"]", "output": ""} -{"perplexity": 11.292852655553887, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Java\", \"Javascript\"]", "output": ""} -{"perplexity": 11.642637494476045, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"bourbon\", \"Scotch whisky\"]", "output": ""} -{"perplexity": 11.325337636287944, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Alaska\", \"Canada\"]", "output": ""} -{"perplexity": 11.132027106707692, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Spain\", \"Italy\"]", "output": ""} -{"perplexity": 11.996578988004648, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"banana\", \"plantain\"]", "output": ""} -{"perplexity": 11.020943747480436, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Firefox\", \"Chrome\"]", "output": ""} -{"perplexity": 11.870566892934505, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Pecorino Romano\", \"Parmesan\"]", "output": ""} -{"perplexity": 9.120334118439626, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Ligue 1\", \"Bundesliga\"]", "output": ""} -{"perplexity": 11.089521064338202, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Netflix\", \"Amazon Prime Video\"]", "output": ""} -{"perplexity": 11.220979185191805, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Primark\", \"Shein\"]", "output": ""} -{"perplexity": 11.292532261418776, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Dominos' Pizza\", \"Pizza Hut\"]", "output": ""} -{"perplexity": 10.750759428183661, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"South Africa\", \"Bhagavad Gita\"]", "output": ""} -{"perplexity": 10.88274146530405, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Germany\", \"France\"]", "output": ""} -{"perplexity": 11.755784944909557, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Kindle\", \"Jeff Bezos\"]", "output": ""} -{"perplexity": 9.772128859418395, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Harry Potter\", \"Lord of the Rings\"]", "output": ""} -{"perplexity": 11.719192633265411, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Yakutia\", \"Turkey\"]", "output": ""} -{"perplexity": 12.006433587321336, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"PS5\", \"XBox\"]", "output": ""} -{"perplexity": 12.87661363174606, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Monet\", \"Manet\"]", "output": ""} -{"perplexity": 11.115077784501855, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Glastonbury\", \"Roskilde\"]", "output": ""} -{"perplexity": 12.622973000074774, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Telugu\", \"Tamil\"]", "output": ""} -{"perplexity": 10.874045087856478, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Batman\", \"Superman\"]", "output": ""} -{"perplexity": 14.198796879073637, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"cannoli\", \"canneloni\"]", "output": ""} -{"perplexity": 11.742358809040946, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Gerald Ford\", \"Duran Duran\"]", "output": ""} \ No newline at end of file diff --git a/experiments/summary_main.py b/experiments/summary_main.py index f355c8710e76c38aaad1e7c1e123bc59b1f629bd..dab20685827999ed45493c7a9d12068cd8b81c14 100644 --- a/experiments/summary_main.py +++ b/experiments/summary_main.py @@ -1,6 +1,6 @@ import pandas as pd -maps = {"is competitor/rival of": "Rival", "is friend/ally of": "Ally", "is influenced by": "Inf", "is known for": "Know", "is similar to": "Sim"} +maps = {"competitor/rival of": "Rival", "friend/ally of": "Ally", "influenced by": "Inf", "known for": "Know", "similar to": "Sim"} def to_latex(df): @@ -12,10 +12,10 @@ def to_latex(df): return tmp # Main table -df_oracle = pd.read_csv("experiments/results/oracle.csv", index_col=0) -df_ft_pair = pd.read_csv("experiments/results/word_embedding/fasttext.csv", index_col=0) -df_ft_word = pd.read_csv("experiments/results/word_embedding/fasttext_zeroshot.csv", index_col=0) -df_rel = pd.read_csv("experiments/results/relbert/relbert.csv", index_col=0) +df_oracle = pd.read_csv("results/oracle.csv", index_col=0) +df_ft_pair = pd.read_csv("results/word_embedding/fasttext.csv", index_col=0) +df_ft_word = pd.read_csv("results/word_embedding/fasttext_zeroshot.csv", index_col=0) +df_rel = pd.read_csv("results/relbert/relbert.csv", index_col=0) table = to_latex(df_oracle) table = table.split(r"\bottomrule")[0] @@ -24,12 +24,12 @@ table_vector = to_latex(df_vector) table_vector = table_vector.split(r"\bottomrule")[0].split(r"\midrule")[1] table = table + "\midrule " + "\multicolumn{7}{@{}l}{* \emph{Embedding Models}} \\\\" + table_vector -df_lm = pd.read_csv("experiments/results/lm_lc/lm.csv", index_col=0) +df_lm = pd.read_csv("results/lm_lc/lm.csv", index_col=0) table_lm = to_latex(df_lm) table_lm = table_lm.split(r"\bottomrule")[0].split(r"\midrule")[1] table = table + "\midrule " + "\multicolumn{7}{@{}l}{* \emph{LM (LC template)}} \\\\" + table_lm -df_lm = pd.read_csv("experiments/results/lm_qa/lm.csv", index_col=0) +df_lm = pd.read_csv("results/lm_qa/lm.csv", index_col=0) table_lm = to_latex(df_lm) table_lm = table_lm.split(r"\midrule")[1] table = table + "\midrule " + "\multicolumn{7}{@{}l}{* \emph{LM (QA template)}} \\\\" + table_lm diff --git a/experiments/summary_validation.py b/experiments/summary_validation.py index 982967a0588c6d9392dc70557995e94077cb70d6..f2aece2d07fba5ddb08a9f4d5e2d93ced1b55436 100644 --- a/experiments/summary_validation.py +++ b/experiments/summary_validation.py @@ -2,13 +2,13 @@ import json import pandas as pd from datasets import load_dataset -data_valid = load_dataset("cardiffnlp/relentless_full", split="validation") -lc_valid = pd.read_csv("experiments/results_validation/lm_lc/lm.csv", index_col=0) -qa_valid = pd.read_csv("experiments/results_validation/lm_qa/lm.csv", index_col=0) +data_valid = load_dataset("cardiffnlp/relentless", split="validation") +lc_valid = pd.read_csv("results_validation/lm_lc/lm.csv", index_col=0) +qa_valid = pd.read_csv("results_validation/lm_qa/lm.csv", index_col=0) -data_test = load_dataset("cardiffnlp/relentless_full", split="test") -lc = pd.read_csv("experiments/results/lm_lc/lm.csv", index_col=0) -qa = pd.read_csv("experiments/results/lm_qa/lm.csv", index_col=0) +data_test = load_dataset("cardiffnlp/relentless", split="test") +lc = pd.read_csv("results/lm_lc/lm.csv", index_col=0) +qa = pd.read_csv("results/lm_qa/lm.csv", index_col=0) target = { "flan-t5-xxl": "Flan-T5\textsubscript{XXL}", @@ -17,18 +17,18 @@ target = { "davinci": "GPT-3\textsubscript{davinci}" } pretty_name = { - 'is competitor/rival of': "Rival", - 'is friend/ally of': "Ally", - 'is influenced by': "Inf", - 'is known for': "Know", - 'is similar to': "Sim" + 'competitor/rival of': "Rival", + 'friend/ally of': "Ally", + 'influenced by': "Inf", + 'known for': "Know", + 'similar to': "Sim" } p = 30 table = [] for prompt in ['qa', 'lc']: for i in target.keys(): for d in data_test: - with open(f"experiments/results/lm_{prompt}/{i}/ppl.{d['relation_type'].replace(' ', '_').replace('/', '__')}.jsonl") as f: + with open(f"results/lm_{prompt}/{i}/ppl.{d['relation_type'].replace(' ', '_').replace('/', '__')}.jsonl") as f: negative_ppl = sorted([json.loads(x)['perplexity'] * -1 for x in f.read().split("\n") if len(x) > 0], reverse=True) top_pred = negative_ppl[int(len(negative_ppl) * p / 100)] bottom_pred = negative_ppl[-int(len(negative_ppl) * p / 100)] @@ -36,7 +36,7 @@ for prompt in ['qa', 'lc']: top = scores[int(len(scores) * p / 100)] bottom = scores[-int(len(scores) * p / 100)] - with open(f"experiments/results_validation/lm_{prompt}/{i}/ppl.{d['relation_type'].replace(' ', '_').replace('/', '__')}.jsonl") as f: + with open(f"results_validation/lm_{prompt}/{i}/ppl.{d['relation_type'].replace(' ', '_').replace('/', '__')}.jsonl") as f: negative_ppl_valid = [json.loads(x)['perplexity'] * -1 for x in f.read().split("\n") if len(x) > 0] _d = [x for x in data_valid if x['relation_type'] == d['relation_type']][0] scores_val = _d['scores_mean'] @@ -48,4 +48,4 @@ for prompt in ['qa', 'lc']: }) table = pd.DataFrame(table) -table.to_csv("experiments/results_validation/summary_validation.csv") +# table.to_csv("results_validation/summary_validation.csv") diff --git a/experiments/analysis/get_correlation.py b/get_correlation.py similarity index 74% rename from experiments/analysis/get_correlation.py rename to get_correlation.py index 1d55c20b51ceeed73fd5adc5d164e2019f768d2a..ca62355dbfe0d668eeb5acf97f6d443f7c1c4127 100644 --- a/experiments/analysis/get_correlation.py +++ b/get_correlation.py @@ -1,14 +1,10 @@ import json -import os -from itertools import permutations, chain +from itertools import permutations from string import ascii_letters from statistics import mean import numpy as np import pandas as pd -from datasets import load_dataset -os.makedirs("experiments/analysis/correlation", exist_ok=True) -prefix = "after" with open("data/data_processed.new.test.jsonl") as f: data = [json.loads(line) for line in f] with open("data/data_processed.new.validation.jsonl") as f: @@ -21,6 +17,7 @@ for i in data: else: tmp[i['relation_type']] = i['scores_all'] + tmp[i['relation_type']] num_annotators = len(list(tmp.values())[0][0]) +df = None for r, scores in tmp.items(): corr_matrix = np.ones((num_annotators, num_annotators)) * 100 for a, b in permutations(range(num_annotators), 2): @@ -37,17 +34,14 @@ for r, scores in tmp.items(): corr_df = corr_df.T corr_df['Avg'] = corr_df.mean(1) corr_df = corr_df.T - corr_df.to_csv(f"experiments/analysis/correlation/{prefix}.{r.replace(' ', '_').replace('/', '-')}.csv") print(r) print(corr_df.round(0).astype(int).to_latex()) print() - -df = None -for r, scores in tmp.items(): if df is None: - df = pd.read_csv(f"experiments/analysis/correlation/{prefix}.{r.replace(' ', '_').replace('/', '-')}.csv", index_col=0) + df = corr_df else: - df += pd.read_csv(f"experiments/analysis/correlation/{prefix}.{r.replace(' ', '_').replace('/', '-')}.csv", index_col=0) + df += corr_df + df = df/5 df = df.T df.pop("Avg") diff --git a/experiments/analysis/get_correlation_before.py b/get_correlation_before.py similarity index 75% rename from experiments/analysis/get_correlation_before.py rename to get_correlation_before.py index b0f9cd085b60268167209d8ee80adc598d9ead59..b0e4854f653bccd65218d6aee1dd94cc26b96696 100644 --- a/experiments/analysis/get_correlation_before.py +++ b/get_correlation_before.py @@ -1,13 +1,10 @@ import json -import os -from itertools import permutations, chain +from itertools import permutations from string import ascii_letters from statistics import mean import numpy as np import pandas as pd -os.makedirs("experiments/analysis/correlation", exist_ok=True) -prefix = "before" with open("data/data_processed.test.jsonl") as f: data = [json.loads(line) for line in f] with open("data/data_processed.validation.jsonl") as f: @@ -20,6 +17,7 @@ for i in data: else: tmp[i['relation_type']] = i['scores_all'] + tmp[i['relation_type']] num_annotators = len(list(tmp.values())[0][0]) +df = None for r, scores in tmp.items(): corr_matrix = np.ones((num_annotators, num_annotators)) * 100 for a, b in permutations(range(num_annotators), 2): @@ -36,17 +34,14 @@ for r, scores in tmp.items(): corr_df = corr_df.T corr_df['Avg'] = corr_df.mean(1) corr_df = corr_df.T - corr_df.to_csv(f"experiments/analysis/correlation/{prefix}.{r.replace(' ', '_').replace('/', '-')}.csv") print(r) print(corr_df.round(0).astype(int).to_latex()) print() - -df = None -for r, scores in tmp.items(): if df is None: - df = pd.read_csv(f"experiments/analysis/correlation/{prefix}.{r.replace(' ', '_').replace('/', '-')}.csv", index_col=0) + df = corr_df else: - df += pd.read_csv(f"experiments/analysis/correlation/{prefix}.{r.replace(' ', '_').replace('/', '-')}.csv", index_col=0) + df += corr_df + df = df/5 df = df.T df.pop("Avg") diff --git a/experiments/analysis/get_statistics.py b/get_statistics.py similarity index 95% rename from experiments/analysis/get_statistics.py rename to get_statistics.py index 1ac56cc45092a823941602a66d83e2079a27ab4f..4361a5b28340b8e9fca91d281af0e29b4d070332 100644 --- a/experiments/analysis/get_statistics.py +++ b/get_statistics.py @@ -1,7 +1,7 @@ import pandas as pd from datasets import load_dataset -data = load_dataset("cardiffnlp/relentless_full") +data = load_dataset("cardiffnlp/relentless") relation_types = [i['relation_type'] for i in data['test']] full_stats = [] for r in relation_types: