| --- |
| annotations_creators: |
| - found |
| language_creators: |
| - found |
| language: |
| - af |
| - ar |
| - bg |
| - bn |
| - de |
| - el |
| - en |
| - es |
| - et |
| - eu |
| - fa |
| - fa-IR |
| - fi |
| - fr |
| - he |
| - hi |
| - hu |
| - id |
| - it |
| - ja |
| - jv |
| - ka |
| - kk |
| - ko |
| - ml |
| - mr |
| - ms |
| - my |
| - nl |
| - pt |
| - ru |
| - sw |
| - ta |
| - te |
| - th |
| - tl |
| - tr |
| - ur |
| - vi |
| - yo |
| - zh |
| license: |
| - apache-2.0 |
| - cc-by-4.0 |
| - cc-by-2.0 |
| - cc-by-sa-4.0 |
| - other |
| - cc-by-nc-4.0 |
| license_details: "Licence Universal Dependencies v2.5" |
| multilinguality: |
| - multilingual |
| - translation |
| pretty_name: XTREME |
| size_categories: |
| - n<1K |
| - 1K<n<10K |
| - 10K<n<100K |
| - 100K<n<1M |
| source_datasets: |
| - extended|xnli |
| - extended|paws-x |
| - extended|wikiann |
| - extended|xquad |
| - extended|mlqa |
| - extended|tydiqa |
| - extended|tatoeba |
| - extended|squad |
| task_categories: |
| - multiple-choice |
| - question-answering |
| - token-classification |
| - text-classification |
| - text-retrieval |
| - token-classification |
| task_ids: |
| - multiple-choice-qa |
| - extractive-qa |
| - open-domain-qa |
| - natural-language-inference |
| - text-classification-other-paraphrase-identification |
| - text-retrieval-other-parallel-sentence-retrieval |
| - named-entity-recognition |
| - part-of-speech-tagging |
| paperswithcode_id: xtreme |
| configs: |
| - MLQA.ar.ar |
| - MLQA.ar.de |
| - MLQA.ar.en |
| - MLQA.ar.es |
| - MLQA.ar.hi |
| - MLQA.ar.vi |
| - MLQA.ar.zh |
| - MLQA.de.ar |
| - MLQA.de.de |
| - MLQA.de.en |
| - MLQA.de.es |
| - MLQA.de.hi |
| - MLQA.de.vi |
| - MLQA.de.zh |
| - MLQA.en.ar |
| - MLQA.en.de |
| - MLQA.en.en |
| - MLQA.en.es |
| - MLQA.en.hi |
| - MLQA.en.vi |
| - MLQA.en.zh |
| - MLQA.es.ar |
| - MLQA.es.de |
| - MLQA.es.en |
| - MLQA.es.es |
| - MLQA.es.hi |
| - MLQA.es.vi |
| - MLQA.es.zh |
| - MLQA.hi.ar |
| - MLQA.hi.de |
| - MLQA.hi.en |
| - MLQA.hi.es |
| - MLQA.hi.hi |
| - MLQA.hi.vi |
| - MLQA.hi.zh |
| - MLQA.vi.ar |
| - MLQA.vi.de |
| - MLQA.vi.en |
| - MLQA.vi.es |
| - MLQA.vi.hi |
| - MLQA.vi.vi |
| - MLQA.vi.zh |
| - MLQA.zh.ar |
| - MLQA.zh.de |
| - MLQA.zh.en |
| - MLQA.zh.es |
| - MLQA.zh.hi |
| - MLQA.zh.vi |
| - MLQA.zh.zh |
| - PAN-X.af |
| - PAN-X.ar |
| - PAN-X.bg |
| - PAN-X.bn |
| - PAN-X.de |
| - PAN-X.el |
| - PAN-X.en |
| - PAN-X.es |
| - PAN-X.et |
| - PAN-X.eu |
| - PAN-X.fa |
| - PAN-X.fi |
| - PAN-X.fr |
| - PAN-X.he |
| - PAN-X.hi |
| - PAN-X.hu |
| - PAN-X.id |
| - PAN-X.it |
| - PAN-X.ja |
| - PAN-X.jv |
| - PAN-X.ka |
| - PAN-X.kk |
| - PAN-X.ko |
| - PAN-X.ml |
| - PAN-X.mr |
| - PAN-X.ms |
| - PAN-X.my |
| - PAN-X.nl |
| - PAN-X.pt |
| - PAN-X.ru |
| - PAN-X.sw |
| - PAN-X.ta |
| - PAN-X.te |
| - PAN-X.th |
| - PAN-X.tl |
| - PAN-X.tr |
| - PAN-X.ur |
| - PAN-X.vi |
| - PAN-X.yo |
| - PAN-X.zh |
| - PAWS-X.de |
| - PAWS-X.en |
| - PAWS-X.es |
| - PAWS-X.fr |
| - PAWS-X.ja |
| - PAWS-X.ko |
| - PAWS-X.zh |
| - SQuAD |
| - XNLI |
| - XQuAD |
| - bucc18.de |
| - bucc18.fr |
| - bucc18.ru |
| - bucc18.zh |
| - tatoeba.afr |
| - tatoeba.ara |
| - tatoeba.ben |
| - tatoeba.bul |
| - tatoeba.cmn |
| - tatoeba.deu |
| - tatoeba.ell |
| - tatoeba.est |
| - tatoeba.eus |
| - tatoeba.fin |
| - tatoeba.fra |
| - tatoeba.heb |
| - tatoeba.hin |
| - tatoeba.hun |
| - tatoeba.ind |
| - tatoeba.ita |
| - tatoeba.jav |
| - tatoeba.jpn |
| - tatoeba.kat |
| - tatoeba.kaz |
| - tatoeba.kor |
| - tatoeba.mal |
| - tatoeba.mar |
| - tatoeba.nld |
| - tatoeba.pes |
| - tatoeba.por |
| - tatoeba.rus |
| - tatoeba.spa |
| - tatoeba.swh |
| - tatoeba.tam |
| - tatoeba.tel |
| - tatoeba.tgl |
| - tatoeba.tha |
| - tatoeba.tur |
| - tatoeba.urd |
| - tatoeba.vie |
| - tydiqa |
| - udpos.Afrikans |
| - udpos.Arabic |
| - udpos.Basque |
| - udpos.Bulgarian |
| - udpos.Chinese |
| - udpos.Dutch |
| - udpos.English |
| - udpos.Estonian |
| - udpos.Finnish |
| - udpos.French |
| - udpos.German |
| - udpos.Greek |
| - udpos.Hebrew |
| - udpos.Hindi |
| - udpos.Hungarian |
| - udpos.Indonesian |
| - udpos.Italian |
| - udpos.Japanese |
| - udpos.Kazakh |
| - udpos.Korean |
| - udpos.Marathi |
| - udpos.Persian |
| - udpos.Portuguese |
| - udpos.Russian |
| - udpos.Spanish |
| - udpos.Tagalog |
| - udpos.Tamil |
| - udpos.Telugu |
| - udpos.Thai |
| - udpos.Turkish |
| - udpos.Urdu |
| - udpos.Vietnamese |
| - udpos.Yoruba |
| --- |
| |
| # Dataset Card for "xtreme" |
|
|
| ## 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://github.com/google-research/xtreme](https://github.com/google-research/xtreme) |
| - **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:** 15143.21 MB |
| - **Size of the generated dataset:** 1027.42 MB |
| - **Total amount of disk used:** 16170.64 MB |
|
|
| ### Dataset Summary |
|
|
| 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. The corpus is made to |
| evaluate how to perform inference in any language (including low-resources ones like Swahili or Urdu) when only |
| English NLI data is available at training time. One solution is cross-lingual sentence encoding, for which XNLI |
| is an evaluation benchmark. |
| The Cross-lingual TRansfer Evaluation of Multilingual Encoders (XTREME) benchmark is a benchmark for the evaluation of |
| the cross-lingual generalization ability of pre-trained multilingual models. It covers 40 typologically diverse languages |
| (spanning 12 language families) and includes nine tasks that collectively require reasoning about different levels of |
| syntax and semantics. The languages in XTREME are selected to maximize language diversity, coverage in existing tasks, |
| and availability of training data. Among these are many under-studied languages, such as the Dravidian languages Tamil |
| (spoken in southern India, Sri Lanka, and Singapore), Telugu and Malayalam (spoken mainly in southern India), and the |
| Niger-Congo languages Swahili and Yoruba, spoken in Africa. |
|
|
| ### 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 |
|
|
| #### MLQA.ar.ar |
|
|
| - **Size of downloaded dataset files:** 72.21 MB |
| - **Size of the generated dataset:** 8.77 MB |
| - **Total amount of disk used:** 80.98 MB |
|
|
| An example of 'validation' looks as follows. |
| ``` |
| |
| ``` |
|
|
| #### MLQA.ar.de |
|
|
| - **Size of downloaded dataset files:** 72.21 MB |
| - **Size of the generated dataset:** 2.43 MB |
| - **Total amount of disk used:** 74.64 MB |
|
|
| An example of 'validation' looks as follows. |
| ``` |
| |
| ``` |
|
|
| #### MLQA.ar.en |
|
|
| - **Size of downloaded dataset files:** 72.21 MB |
| - **Size of the generated dataset:** 8.62 MB |
| - **Total amount of disk used:** 80.83 MB |
|
|
| An example of 'validation' looks as follows. |
| ``` |
| |
| ``` |
|
|
| #### MLQA.ar.es |
|
|
| - **Size of downloaded dataset files:** 72.21 MB |
| - **Size of the generated dataset:** 3.12 MB |
| - **Total amount of disk used:** 75.33 MB |
|
|
| An example of 'validation' looks as follows. |
| ``` |
| |
| ``` |
|
|
| #### MLQA.ar.hi |
|
|
| - **Size of downloaded dataset files:** 72.21 MB |
| - **Size of the generated dataset:** 3.17 MB |
| - **Total amount of disk used:** 75.38 MB |
|
|
| An example of 'validation' looks as follows. |
| ``` |
| |
| ``` |
|
|
| ### Data Fields |
|
|
| The data fields are the same among all splits. |
|
|
| #### MLQA.ar.ar |
| - `id`: a `string` feature. |
| - `title`: a `string` feature. |
| - `context`: a `string` feature. |
| - `question`: a `string` feature. |
| - `answers`: a dictionary feature containing: |
| - `answer_start`: a `int32` feature. |
| - `text`: a `string` feature. |
|
|
| #### MLQA.ar.de |
| - `id`: a `string` feature. |
| - `title`: a `string` feature. |
| - `context`: a `string` feature. |
| - `question`: a `string` feature. |
| - `answers`: a dictionary feature containing: |
| - `answer_start`: a `int32` feature. |
| - `text`: a `string` feature. |
|
|
| #### MLQA.ar.en |
| - `id`: a `string` feature. |
| - `title`: a `string` feature. |
| - `context`: a `string` feature. |
| - `question`: a `string` feature. |
| - `answers`: a dictionary feature containing: |
| - `answer_start`: a `int32` feature. |
| - `text`: a `string` feature. |
|
|
| #### MLQA.ar.es |
| - `id`: a `string` feature. |
| - `title`: a `string` feature. |
| - `context`: a `string` feature. |
| - `question`: a `string` feature. |
| - `answers`: a dictionary feature containing: |
| - `answer_start`: a `int32` feature. |
| - `text`: a `string` feature. |
|
|
| #### MLQA.ar.hi |
| - `id`: a `string` feature. |
| - `title`: a `string` feature. |
| - `context`: a `string` feature. |
| - `question`: a `string` feature. |
| - `answers`: a dictionary feature containing: |
| - `answer_start`: a `int32` feature. |
| - `text`: a `string` feature. |
|
|
| ### Data Splits |
|
|
| | name |validation|test| |
| |----------|---------:|---:| |
| |MLQA.ar.ar| 517|5335| |
| |MLQA.ar.de| 207|1649| |
| |MLQA.ar.en| 517|5335| |
| |MLQA.ar.es| 161|1978| |
| |MLQA.ar.hi| 186|1831| |
|
|
| ## 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}, |
| } |
| @article{hu2020xtreme, |
| author = {Junjie Hu and Sebastian Ruder and Aditya Siddhant and Graham Neubig and Orhan Firat and Melvin Johnson}, |
| title = {XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization}, |
| journal = {CoRR}, |
| volume = {abs/2003.11080}, |
| year = {2020}, |
| archivePrefix = {arXiv}, |
| eprint = {2003.11080} |
| } |
| |
| ``` |
|
|
|
|
| ### Contributions |
|
|
| Thanks to [@thomwolf](https://github.com/thomwolf), [@jplu](https://github.com/jplu), [@lewtun](https://github.com/lewtun), [@lvwerra](https://github.com/lvwerra), [@lhoestq](https://github.com/lhoestq), [@patrickvonplaten](https://github.com/patrickvonplaten), [@mariamabarham](https://github.com/mariamabarham) for adding this dataset. |
