--- language: - ar - bg - de - el - en - es - fr - hi - ru - sw - th - tr - ur - vi - zh paperswithcode_id: xnli pretty_name: Cross-lingual Natural Language Inference dataset_info: - config_name: all_languages features: - name: premise dtype: translation: languages: - ar - bg - de - el - en - es - fr - hi - ru - sw - th - tr - ur - vi - zh - name: hypothesis dtype: translation_variable_languages: languages: - ar - bg - de - el - en - es - fr - hi - ru - sw - th - tr - ur - vi - zh num_languages: 15 - name: label dtype: class_label: names: '0': entailment '1': neutral '2': contradiction splits: - name: train num_bytes: 1581471691 num_examples: 392702 - name: test num_bytes: 19387432 num_examples: 5010 - name: validation num_bytes: 9566179 num_examples: 2490 download_size: 963942271 dataset_size: 1610425302 - config_name: ar features: - name: premise dtype: string - name: hypothesis dtype: string - name: label dtype: class_label: names: '0': entailment '1': neutral '2': contradiction splits: - name: train num_bytes: 107399614 num_examples: 392702 - name: test num_bytes: 1294553 num_examples: 5010 - name: validation num_bytes: 633001 num_examples: 2490 download_size: 59215902 dataset_size: 109327168 - config_name: bg features: - name: premise dtype: string - name: hypothesis dtype: string - name: label dtype: class_label: names: '0': entailment '1': neutral '2': contradiction splits: - name: train num_bytes: 125973225 num_examples: 392702 - name: test num_bytes: 1573034 num_examples: 5010 - name: validation num_bytes: 774061 num_examples: 2490 download_size: 66117878 dataset_size: 128320320 - config_name: de features: - name: premise dtype: string - name: hypothesis dtype: string - name: label dtype: class_label: names: '0': entailment '1': neutral '2': contradiction splits: - name: train num_bytes: 84684140 num_examples: 392702 - name: test num_bytes: 996488 num_examples: 5010 - name: validation num_bytes: 494604 num_examples: 2490 download_size: 55973883 dataset_size: 86175232 - config_name: el features: - name: premise dtype: string - name: hypothesis dtype: string - name: label dtype: class_label: names: '0': entailment '1': neutral '2': contradiction splits: - name: train num_bytes: 139753358 num_examples: 392702 - name: test num_bytes: 1704785 num_examples: 5010 - name: validation num_bytes: 841226 num_examples: 2490 download_size: 74551247 dataset_size: 142299369 - config_name: en features: - name: premise dtype: string - name: hypothesis dtype: string - name: label dtype: class_label: names: '0': entailment '1': neutral '2': contradiction splits: - name: train num_bytes: 74444026 num_examples: 392702 - name: test num_bytes: 875134 num_examples: 5010 - name: validation num_bytes: 433463 num_examples: 2490 download_size: 50627367 dataset_size: 75752623 - config_name: es features: - name: premise dtype: string - name: hypothesis dtype: string - name: label dtype: class_label: names: '0': entailment '1': neutral '2': contradiction splits: - name: train num_bytes: 81383284 num_examples: 392702 - name: test num_bytes: 969813 num_examples: 5010 - name: validation num_bytes: 478422 num_examples: 2490 download_size: 53677157 dataset_size: 82831519 - config_name: fr features: - name: premise dtype: string - name: hypothesis dtype: string - name: label dtype: class_label: names: '0': entailment '1': neutral '2': contradiction splits: - name: train num_bytes: 85808779 num_examples: 392702 - name: test num_bytes: 1029239 num_examples: 5010 - name: validation num_bytes: 510104 num_examples: 2490 download_size: 55968680 dataset_size: 87348122 - config_name: hi features: - name: premise dtype: string - name: hypothesis dtype: string - name: label dtype: class_label: names: '0': entailment '1': neutral '2': contradiction splits: - name: train num_bytes: 170593964 num_examples: 392702 - name: test num_bytes: 2073073 num_examples: 5010 - name: validation num_bytes: 1023915 num_examples: 2490 download_size: 70908548 dataset_size: 173690952 - config_name: ru features: - name: premise dtype: string - name: hypothesis dtype: string - name: label dtype: class_label: names: '0': entailment '1': neutral '2': contradiction splits: - name: train num_bytes: 129859615 num_examples: 392702 - name: test num_bytes: 1603466 num_examples: 5010 - name: validation num_bytes: 786442 num_examples: 2490 download_size: 70702606 dataset_size: 132249523 - config_name: sw features: - name: premise dtype: string - name: hypothesis dtype: string - name: label dtype: class_label: names: '0': entailment '1': neutral '2': contradiction splits: - name: train num_bytes: 69285725 num_examples: 392702 - name: test num_bytes: 871651 num_examples: 5010 - name: validation num_bytes: 429850 num_examples: 2490 download_size: 45564152 dataset_size: 70587226 - config_name: th features: - name: premise dtype: string - name: hypothesis dtype: string - name: label dtype: class_label: names: '0': entailment '1': neutral '2': contradiction splits: - name: train num_bytes: 176062892 num_examples: 392702 - name: test num_bytes: 2147015 num_examples: 5010 - name: validation num_bytes: 1061160 num_examples: 2490 download_size: 77222045 dataset_size: 179271067 - config_name: tr features: - name: premise dtype: string - name: hypothesis dtype: string - name: label dtype: class_label: names: '0': entailment '1': neutral '2': contradiction splits: - name: train num_bytes: 71637140 num_examples: 392702 - name: test num_bytes: 934934 num_examples: 5010 - name: validation num_bytes: 459308 num_examples: 2490 download_size: 48509680 dataset_size: 73031382 - config_name: ur features: - name: premise dtype: string - name: hypothesis dtype: string - name: label dtype: class_label: names: '0': entailment '1': neutral '2': contradiction splits: - name: train num_bytes: 96441486 num_examples: 392702 - name: test num_bytes: 1416241 num_examples: 5010 - name: validation num_bytes: 699952 num_examples: 2490 download_size: 46682785 dataset_size: 98557679 - config_name: vi features: - name: premise dtype: string - name: hypothesis dtype: string - name: label dtype: class_label: names: '0': entailment '1': neutral '2': contradiction splits: - name: train num_bytes: 101417430 num_examples: 392702 - name: test num_bytes: 1190217 num_examples: 5010 - name: validation num_bytes: 590680 num_examples: 2490 download_size: 57690058 dataset_size: 103198327 - config_name: zh features: - name: premise dtype: string - name: hypothesis dtype: string - name: label dtype: class_label: names: '0': entailment '1': neutral '2': contradiction splits: - name: train num_bytes: 72224841 num_examples: 392702 - name: test num_bytes: 777929 num_examples: 5010 - name: validation num_bytes: 384851 num_examples: 2490 download_size: 48269855 dataset_size: 73387621 configs: - config_name: all_languages data_files: - split: train path: all_languages/train-* - split: test path: all_languages/test-* - split: validation path: all_languages/validation-* - config_name: ar data_files: - split: train path: ar/train-* - split: test path: ar/test-* - split: validation path: ar/validation-* - config_name: bg data_files: - split: train path: bg/train-* - split: test path: bg/test-* - split: validation path: bg/validation-* - config_name: de data_files: - split: train path: de/train-* - split: test path: de/test-* - split: validation path: de/validation-* - config_name: el data_files: - split: train path: el/train-* - split: test path: el/test-* - split: validation path: el/validation-* - config_name: en data_files: - split: train path: en/train-* - split: test path: en/test-* - split: validation path: en/validation-* - config_name: es data_files: - split: train path: es/train-* - split: test path: es/test-* - split: validation path: es/validation-* - config_name: fr data_files: - split: train path: fr/train-* - split: test path: fr/test-* - split: validation path: fr/validation-* - config_name: hi data_files: - split: train path: hi/train-* - split: test path: hi/test-* - split: validation path: hi/validation-* - config_name: ru data_files: - split: train path: ru/train-* - split: test path: ru/test-* - split: validation path: ru/validation-* - config_name: sw data_files: - split: train path: sw/train-* - split: test path: sw/test-* - split: validation path: sw/validation-* - config_name: th data_files: - split: train path: th/train-* - split: test path: th/test-* - split: validation path: th/validation-* - config_name: tr data_files: - split: train path: tr/train-* - split: test path: tr/test-* - split: validation path: tr/validation-* - config_name: ur data_files: - split: train path: ur/train-* - split: test path: ur/test-* - split: validation path: ur/validation-* - config_name: vi data_files: - split: train path: vi/train-* - split: test path: vi/test-* - split: validation path: vi/validation-* - config_name: zh data_files: - split: train path: zh/train-* - split: test path: zh/test-* - split: validation path: zh/validation-* --- # Dataset Card for "xnli" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - **Homepage:** [https://www.nyu.edu/projects/bowman/xnli/](https://www.nyu.edu/projects/bowman/xnli/) - **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - **Size of downloaded dataset files:** 7.74 GB - **Size of the generated dataset:** 3.23 GB - **Total amount of disk used:** 10.97 GB ### Dataset Summary XNLI is a subset of a few thousand examples from MNLI which has been translated into a 14 different languages (some low-ish resource). As with MNLI, the goal is to predict textual entailment (does sentence A imply/contradict/neither sentence B) and is a classification task (given two sentences, predict one of three labels). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Dataset Structure ### Data Instances #### all_languages - **Size of downloaded dataset files:** 483.96 MB - **Size of the generated dataset:** 1.61 GB - **Total amount of disk used:** 2.09 GB An example of 'train' looks as follows. ``` This example was too long and was cropped: { "hypothesis": "{\"language\": [\"ar\", \"bg\", \"de\", \"el\", \"en\", \"es\", \"fr\", \"hi\", \"ru\", \"sw\", \"th\", \"tr\", \"ur\", \"vi\", \"zh\"], \"translation\": [\"احد اع...", "label": 0, "premise": "{\"ar\": \"واحدة من رقابنا ستقوم بتنفيذ تعليماتك كلها بكل دقة\", \"bg\": \"един от нашите номера ще ви даде инструкции .\", \"de\": \"Eine ..." } ``` #### ar - **Size of downloaded dataset files:** 483.96 MB - **Size of the generated dataset:** 109.32 MB - **Total amount of disk used:** 593.29 MB An example of 'validation' looks as follows. ``` { "hypothesis": "اتصل بأمه حالما أوصلته حافلة المدرسية.", "label": 1, "premise": "وقال، ماما، لقد عدت للمنزل." } ``` #### bg - **Size of downloaded dataset files:** 483.96 MB - **Size of the generated dataset:** 128.32 MB - **Total amount of disk used:** 612.28 MB An example of 'train' looks as follows. ``` This example was too long and was cropped: { "hypothesis": "\"губиш нещата на следното ниво , ако хората си припомнят .\"...", "label": 0, "premise": "\"по време на сезона и предполагам , че на твоето ниво ще ги загубиш на следващото ниво , ако те решат да си припомнят отбора на ..." } ``` #### de - **Size of downloaded dataset files:** 483.96 MB - **Size of the generated dataset:** 86.17 MB - **Total amount of disk used:** 570.14 MB An example of 'train' looks as follows. ``` This example was too long and was cropped: { "hypothesis": "Man verliert die Dinge auf die folgende Ebene , wenn sich die Leute erinnern .", "label": 0, "premise": "\"Du weißt , während der Saison und ich schätze , auf deiner Ebene verlierst du sie auf die nächste Ebene , wenn sie sich entschl..." } ``` #### el - **Size of downloaded dataset files:** 483.96 MB - **Size of the generated dataset:** 142.30 MB - **Total amount of disk used:** 626.26 MB An example of 'validation' looks as follows. ``` This example was too long and was cropped: { "hypothesis": "\"Τηλεφώνησε στη μαμά του μόλις το σχολικό λεωφορείο τον άφησε.\"...", "label": 1, "premise": "Και είπε, Μαμά, έφτασα στο σπίτι." } ``` ### Data Fields The data fields are the same among all splits. #### all_languages - `premise`: a multilingual `string` variable, with possible languages including `ar`, `bg`, `de`, `el`, `en`. - `hypothesis`: a multilingual `string` variable, with possible languages including `ar`, `bg`, `de`, `el`, `en`. - `label`: a classification label, with possible values including `entailment` (0), `neutral` (1), `contradiction` (2). #### ar - `premise`: a `string` feature. - `hypothesis`: a `string` feature. - `label`: a classification label, with possible values including `entailment` (0), `neutral` (1), `contradiction` (2). #### bg - `premise`: a `string` feature. - `hypothesis`: a `string` feature. - `label`: a classification label, with possible values including `entailment` (0), `neutral` (1), `contradiction` (2). #### de - `premise`: a `string` feature. - `hypothesis`: a `string` feature. - `label`: a classification label, with possible values including `entailment` (0), `neutral` (1), `contradiction` (2). #### el - `premise`: a `string` feature. - `hypothesis`: a `string` feature. - `label`: a classification label, with possible values including `entailment` (0), `neutral` (1), `contradiction` (2). ### Data Splits | name |train |validation|test| |-------------|-----:|---------:|---:| |all_languages|392702| 2490|5010| |ar |392702| 2490|5010| |bg |392702| 2490|5010| |de |392702| 2490|5010| |el |392702| 2490|5010| ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @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}, } ``` ### Contributions Thanks to [@lewtun](https://github.com/lewtun), [@mariamabarham](https://github.com/mariamabarham), [@thomwolf](https://github.com/thomwolf), [@lhoestq](https://github.com/lhoestq), [@patrickvonplaten](https://github.com/patrickvonplaten) for adding this dataset.