Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
natural-language-inference
Languages:
Catalan
Size:
1K - 10K
ArXiv:
License:
Update README.md
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README.md
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### Dataset Summary
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Professional translation into Catalan of The Cross-lingual Natural Language Inference
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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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### 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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