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  ### Dataset Summary
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- Professional translation into Catalan of The Cross-lingual Natural Language Inference ([XNLI dataset])(https://github.com/facebookresearch/XNLI).
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  XNLI is an evaluation corpus for language transfer and cross-lingual sentence classification in 15 languages. It is a crowd-sourced collection of 5,000 test and 2,500 dev pairs for the MultiNLI corpus. The pairs are annotated with textual entailment and translated into 14 languages: French, Spanish, German, Greek, Bulgarian, Russian, Turkish, Arabic, Vietnamese, Thai, Chinese, Hindi, Swahili and Urdu. This results in 112.5k annotated pairs. Each premise can be associated with the corresponding hypothesis in the 15 languages, summing up to more than 1.5M combinations.
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  #### Who are the source language producers?
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  ### Annotations
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  #### Annotation process
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  #### Who are the annotators?
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  [N/A]
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  No personal or sensitive information included.
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  ## Considerations for Using the Data
 
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  The Cross-lingual Natural Language Inference (XNLI) corpus is a crowd-sourced collection of 5,000 test and 2,500 dev pairs for the MultiNLI corpus. The pairs are annotated with textual entailment and translated into 14 languages: French, Spanish, German, Greek, Bulgarian, Russian, Turkish, Arabic, Vietnamese, Thai, Chinese, Hindi, Swahili and Urdu. This results in 112.5k annotated pairs. Each premise can be associated with the corresponding hypothesis in the 15 languages, summing up to more than 1.5M combinations.
 
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  ### Social Impact of Dataset
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  We hope this dataset contributes to the development of language models in Catalan, a low-resource language.
 
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  ### Dataset Summary
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+ Professional translation into Catalan of The Cross-lingual Natural Language Inference [XNLI dataset](https://github.com/facebookresearch/XNLI).
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  XNLI is an evaluation corpus for language transfer and cross-lingual sentence classification in 15 languages. It is a crowd-sourced collection of 5,000 test and 2,500 dev pairs for the MultiNLI corpus. The pairs are annotated with textual entailment and translated into 14 languages: French, Spanish, German, Greek, Bulgarian, Russian, Turkish, Arabic, Vietnamese, Thai, Chinese, Hindi, Swahili and Urdu. This results in 112.5k annotated pairs. Each premise can be associated with the corresponding hypothesis in the 15 languages, summing up to more than 1.5M combinations.
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  #### Who are the source language producers?
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  ### Annotations
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  #### Annotation process
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  #### Who are the annotators?
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  [N/A]
 
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  No personal or sensitive information included.
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  ## Considerations for Using the Data
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+
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  The Cross-lingual Natural Language Inference (XNLI) corpus is a crowd-sourced collection of 5,000 test and 2,500 dev pairs for the MultiNLI corpus. The pairs are annotated with textual entailment and translated into 14 languages: French, Spanish, German, Greek, Bulgarian, Russian, Turkish, Arabic, Vietnamese, Thai, Chinese, Hindi, Swahili and Urdu. This results in 112.5k annotated pairs. Each premise can be associated with the corresponding hypothesis in the 15 languages, summing up to more than 1.5M combinations.
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+
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  ### Social Impact of Dataset
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  We hope this dataset contributes to the development of language models in Catalan, a low-resource language.