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XNLI
Text
NLP
|...
License: CC BY-NC 4.0

Overview

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.

Examples

Citation

If you use the corpus in an academic paper, please consider citing:

@InProceedings{conneau2018xnli,
  author = "Conneau, Alexis
        and Rinott, Ruty
        and Lample, Guillaume
        and Williams, Adina
        and Bowman, Samuel R.
        and Schwenk, Holger
        and Stoyanov, Veselin",
  title = "XNLI: Evaluating Cross-lingual Sentence Representations",
  booktitle = "Proceedings of the 2018 Conference on Empirical Methods
               in Natural Language Processing",
  year = "2018",
  publisher = "Association for Computational Linguistics",
  location = "Brussels, Belgium",
}

License

CC BY-NC 4.0

Data Summary
Type
Text,
Amount
10K
Size
473.66MB
Provided by
Facebook Research
Giving people the power to build community through research and innovation
| Amount 10K | Size 473.66MB
XNLI
Text
NLP
License: CC BY-NC 4.0

Overview

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.

Examples

Citation

If you use the corpus in an academic paper, please consider citing:

@InProceedings{conneau2018xnli,
  author = "Conneau, Alexis
        and Rinott, Ruty
        and Lample, Guillaume
        and Williams, Adina
        and Bowman, Samuel R.
        and Schwenk, Holger
        and Stoyanov, Veselin",
  title = "XNLI: Evaluating Cross-lingual Sentence Representations",
  booktitle = "Proceedings of the 2018 Conference on Empirical Methods
               in Natural Language Processing",
  year = "2018",
  publisher = "Association for Computational Linguistics",
  location = "Brussels, Belgium",
}

License

CC BY-NC 4.0

0
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