albertvillanova
HF Staff
Convert dataset sizes from base 2 to base 10 in the dataset card (#5)
1cdcf07
| 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: 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: 107399934 | |
| num_examples: 392702 | |
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| num_examples: 5010 | |
| - name: validation | |
| num_bytes: 633009 | |
| num_examples: 2490 | |
| download_size: 483963712 | |
| dataset_size: 109327504 | |
| - 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: | |
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| num_examples: 2490 | |
| download_size: 483963712 | |
| dataset_size: 128320656 | |
| - config_name: de | |
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| - name: premise | |
| dtype: string | |
| - name: hypothesis | |
| dtype: string | |
| - name: label | |
| dtype: | |
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| '1': neutral | |
| '2': contradiction | |
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| - config_name: en | |
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| - name: label | |
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| dataset_size: 75752959 | |
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| - config_name: fr | |
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| dtype: string | |
| - name: hypothesis | |
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| - name: label | |
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| '0': entailment | |
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| dataset_size: 87348458 | |
| - config_name: hi | |
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| dtype: string | |
| - name: hypothesis | |
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| - config_name: th | |
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| download_size: 483963712 | |
| dataset_size: 179271403 | |
| - config_name: tr | |
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| - name: premise | |
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| - name: hypothesis | |
| dtype: string | |
| - name: label | |
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| - config_name: ur | |
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| - name: label | |
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| num_examples: 2490 | |
| download_size: 483963712 | |
| dataset_size: 73387957 | |
| - 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: 1581474731 | |
| num_examples: 392702 | |
| - name: test | |
| num_bytes: 19387508 | |
| num_examples: 5010 | |
| - name: validation | |
| num_bytes: 9566255 | |
| num_examples: 2490 | |
| download_size: 483963712 | |
| dataset_size: 1610428494 | |
| # 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. |