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# XNLI
### Paper
Title: `XNLI: Evaluating Cross-lingual Sentence Representations`
Abstract: https://arxiv.org/abs/1809.05053
Based on the implementation of @yongzx (see https://github.com/EleutherAI/lm-evaluation-harness/pull/258)
Prompt format (same as XGLM and mGPT):
sentence1 + ", right? " + mask = (Yes|Also|No) + ", " + sentence2
Predicition is the full sequence with the highest likelihood.
Language specific prompts are translated word-by-word with Google Translate
and may differ from the ones used by mGPT and XGLM (they do not provide their prompts).
Homepage: https://github.com/facebookresearch/XNLI
### Citation
"""
@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",
}
"""
### Groups and Tasks
#### Groups
* `xnli`
#### Tasks
* `xnli_ar`: Arabic
* `xnli_bg`: Bulgarian
* `xnli_de`: German
* `xnli_el`: Greek
* `xnli_en`: English
* `xnli_es`: Spanish
* `xnli_fr`: French
* `xnli_hi`: Hindi
* `xnli_ru`: Russian
* `xnli_sw`: Swahili
* `xnli_th`: Thai
* `xnli_tr`: Turkish
* `xnli_ur`: Urdu
* `xnli_vi`: Vietnamese
* `xnli_zh`: Chinese
### Checklist
For adding novel benchmarks/datasets to the library:
* [ ] Is the task an existing benchmark in the literature?
* [ ] Have you referenced the original paper that introduced the task?
* [ ] If yes, does the original paper provide a reference implementation? If so, have you checked against the reference implementation and documented how to run such a test?
If other tasks on this dataset are already supported:
* [ ] Is the "Main" variant of this task clearly denoted?
* [ ] Have you provided a short sentence in a README on what each new variant adds / evaluates?
* [ ] Have you noted which, if any, published evaluation setups are matched by this variant?
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