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Complete the mlqa dataset card (#4809)

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* Added more details to dataset card of mlqa dataset

* added license and other required details to mlqa

* Modified dataset card of mlqa dataset

Changed language creators tag in dataset card of mlqa dataset to crowdsourced.

Commit from https://github.com/huggingface/datasets/commit/8a9b3cb2a31c9b5306e5ae68b33565934180aefe

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  1. README.md +29 -6
README.md CHANGED
@@ -2,6 +2,28 @@
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  pretty_name: MLQA (MultiLingual Question Answering)
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  language:
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  - en
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  paperswithcode_id: mlqa
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  ---
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@@ -54,7 +76,7 @@ paperswithcode_id: mlqa
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  ### Languages
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- [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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  ## Dataset Structure
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@@ -227,10 +249,11 @@ The data fields are the same among all splits.
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  ```
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  @article{lewis2019mlqa,
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- title={MLQA: Evaluating Cross-lingual Extractive Question Answering},
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- author={Lewis, Patrick and Oguz, Barlas and Rinott, Ruty and Riedel, Sebastian and Schwenk, Holger},
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- journal={arXiv preprint arXiv:1910.07475},
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- year={2019}
 
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  }
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  ```
@@ -238,4 +261,4 @@ The data fields are the same among all splits.
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  ### Contributions
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- Thanks to [@patrickvonplaten](https://github.com/patrickvonplaten), [@M-Salti](https://github.com/M-Salti), [@lewtun](https://github.com/lewtun), [@thomwolf](https://github.com/thomwolf), [@mariamabarham](https://github.com/mariamabarham), [@lhoestq](https://github.com/lhoestq) for adding this dataset.
 
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  pretty_name: MLQA (MultiLingual Question Answering)
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  language:
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  - en
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+ - de
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+ - es
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+ - ar
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+ - zh
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+ - vi
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+ - hi
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+ license:
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+ - cc-by-sa-3.0
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+ source_datasets:
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+ - original
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+ size_categories:
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+ - 10K<n<100K
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+ language_creators:
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+ - crowdsourced
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+ annotations_creators:
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+ - crowdsourced
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+ multilinguality:
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+ - multilingual
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+ task_categories:
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+ - question-answering
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+ task_ids:
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+ - extractive-qa
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  paperswithcode_id: mlqa
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  ---
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  ### Languages
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+ MLQA contains QA instances in 7 languages, English, Arabic, German, Spanish, Hindi, Vietnamese and Simplified Chinese.
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  ## Dataset Structure
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  ```
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  @article{lewis2019mlqa,
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+ title = {MLQA: Evaluating Cross-lingual Extractive Question Answering},
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+ author = {Lewis, Patrick and Oguz, Barlas and Rinott, Ruty and Riedel, Sebastian and Schwenk, Holger},
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+ journal = {arXiv preprint arXiv:1910.07475},
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+ year = 2019,
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+ eid = {arXiv: 1910.07475}
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  }
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  ```
 
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  ### Contributions
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+ Thanks to [@patrickvonplaten](https://github.com/patrickvonplaten), [@M-Salti](https://github.com/M-Salti), [@lewtun](https://github.com/lewtun), [@thomwolf](https://github.com/thomwolf), [@mariamabarham](https://github.com/mariamabarham), [@lhoestq](https://github.com/lhoestq) for adding this dataset.