Update files from the datasets library (from 1.3.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.3.0

README.md

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+---
+---
+
+# Dataset Card for "xtreme"
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks](#supported-tasks)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+  - [Data Splits Sample Size](#data-splits-sample-size)
+- [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](#dataset-description)
+
+- **Homepage:** [https://github.com/google-research/xtreme	https://www.nyu.edu/projects/bowman/xnli/](https://github.com/google-research/xtreme	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:** 15143.21 MB
+- **Size of the generated dataset:** 1027.42 MB
+- **Total amount of disk used:** 16170.64 MB
+
+### [Dataset Summary](#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](#supported-tasks)
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### [Languages](#languages)
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+## [Dataset Structure](#dataset-structure)
+
+We show detailed information for up to 5 configurations of the dataset.
+
+### [Data Instances](#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](#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 Sample Size](#data-splits-sample-size)
+
+|   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](#dataset-creation)
+
+### [Curation Rationale](#curation-rationale)
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### [Source Data](#source-data)
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### [Annotations](#annotations)
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### [Personal and Sensitive Information](#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](#considerations-for-using-the-data)
+
+### [Social Impact of Dataset](#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](#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](#other-known-limitations)
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+## [Additional Information](#additional-information)
+
+### [Dataset Curators](#dataset-curators)
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### [Licensing Information](#licensing-information)
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### [Citation Information](#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.