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README.md
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@@ -76,18 +76,18 @@ Here you can see the structure of the single sample in the present dataset.
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Here we will describe the prompt given to the model over which we will compute the perplexity score, as model's answer we will chose the prompt with lower perplexity.
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Moreover, for each subtask, we define a description that is prepended to the prompts, needed by the model to understand the task.
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Description of the task: "Date due frasi, che contengono un lemma in comune, indica se tale lemma ha
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### Cloze Style:
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Label (**Different Meaning**): "Frase 1: {{sentence1}}\nFrase 2: {{sentence2}}\nLa parola '{{lemma}}' nelle due frasi precedenti ha un significato differente"
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Label (**Same Meaning**): "Frase 1: {{sentence1}}\nFrase 2: {{sentence2}}\nLa parola '{{lemma}}' nelle due frasi precedenti ha lo stesso significato"
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### MCQA Style:
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```txt
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Frase 1: {{sentence1}}\nFrase 2: {{sentence2}}\nDomanda:La parola
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```
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## Results
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Here we will describe the prompt given to the model over which we will compute the perplexity score, as model's answer we will chose the prompt with lower perplexity.
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Moreover, for each subtask, we define a description that is prepended to the prompts, needed by the model to understand the task.
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Description of the task: "Date due frasi, che contengono un lemma in comune, indica se tale lemma ha lo stesso significato in entrambe le frasi.\n\n"
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### Cloze Style:
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Label (**Different Meaning**): "Frase 1: {{sentence1}}\nFrase 2: {{sentence2}}\nLa parola '{{lemma}}' nelle due frasi precedenti ha un significato differente tra le due frasi"
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Label (**Same Meaning**): "Frase 1: {{sentence1}}\nFrase 2: {{sentence2}}\nLa parola '{{lemma}}' nelle due frasi precedenti ha lo stesso significato in entrambe le frasi"
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### MCQA Style:
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```txt
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Frase 1: {{sentence1}}\nFrase 2: {{sentence2}}\nDomanda: La parola \"{{lemma}}\" ha lo stesso signicato nelle due frasi precedenti? Rispondi sì o no:
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```
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## Results
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