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CATIE-AQ
/

xnli_fr_prompt_textual_entailment

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Text Classification

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textual-entailment

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bourdoiscatie commited on Jul 28, 2023

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c237a54

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@@ -50,7 +50,7 @@ A list of prompts (see below) was then applied in order to build the input and t
 ```
 ### Features used in the prompts
-In the prompt list above, `sentence1`, `sentence2` and the `target` have been constructed from:
 ```
 xnli= load_dataset("xnli")
 xnli['train']['premise'] = list(map(lambda i: i.replace(' . ','. ').replace(' .','. ').replace('( ','(').replace(' )',')').replace(' , ',', ').replace(', ',', ').replace("' ","'"), map(str,xnli['train']['premise'])))

 ```
 ### Features used in the prompts
+In the prompt list above, `premise`, `hypothesis` and `targets` have been constructed from:
 ```
 xnli= load_dataset("xnli")
 xnli['train']['premise'] = list(map(lambda i: i.replace(' . ','. ').replace(' .','. ').replace('( ','(').replace(' )',')').replace(' , ',', ').replace(', ',', ').replace("' ","'"), map(str,xnli['train']['premise'])))