Datasets:
Update files from the datasets library (from 1.3.0)
Browse filesRelease notes: https://github.com/huggingface/datasets/releases/tag/1.3.0
README.md
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---
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---
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# Dataset Card for "mlqa"
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## Table of Contents
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Supported Tasks](#supported-tasks)
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- [Languages](#languages)
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Data Fields](#data-fields)
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- [Data Splits Sample Size](#data-splits-sample-size)
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- [Dataset Creation](#dataset-creation)
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- [Curation Rationale](#curation-rationale)
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- [Source Data](#source-data)
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- [Annotations](#annotations)
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- [Personal and Sensitive Information](#personal-and-sensitive-information)
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- [Considerations for Using the Data](#considerations-for-using-the-data)
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- [Social Impact of Dataset](#social-impact-of-dataset)
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- [Discussion of Biases](#discussion-of-biases)
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- [Other Known Limitations](#other-known-limitations)
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- [Additional Information](#additional-information)
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- [Dataset Curators](#dataset-curators)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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- [Contributions](#contributions)
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## [Dataset Description](#dataset-description)
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- **Homepage:** [https://github.com/facebookresearch/MLQA](https://github.com/facebookresearch/MLQA)
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- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- **Size of downloaded dataset files:** 3958.58 MB
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- **Size of the generated dataset:** 867.85 MB
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- **Total amount of disk used:** 4826.43 MB
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### [Dataset Summary](#dataset-summary)
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MLQA (MultiLingual Question Answering) is a benchmark dataset for evaluating cross-lingual question answering performance.
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MLQA consists of over 5K extractive QA instances (12K in English) in SQuAD format in seven languages - English, Arabic,
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German, Spanish, Hindi, Vietnamese and Simplified Chinese. MLQA is highly parallel, with QA instances parallel between
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4 different languages on average.
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### [Supported Tasks](#supported-tasks)
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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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### [Languages](#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](#dataset-structure)
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We show detailed information for up to 5 configurations of the dataset.
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### [Data Instances](#data-instances)
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#### mlqa-translate-test.ar
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- **Size of downloaded dataset files:** 9.61 MB
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- **Size of the generated dataset:** 5.23 MB
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- **Total amount of disk used:** 14.84 MB
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An example of 'test' looks as follows.
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```
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```
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#### mlqa-translate-test.de
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- **Size of downloaded dataset files:** 9.61 MB
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- **Size of the generated dataset:** 3.70 MB
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- **Total amount of disk used:** 13.31 MB
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An example of 'test' looks as follows.
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```
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```
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#### mlqa-translate-test.es
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- **Size of downloaded dataset files:** 9.61 MB
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- **Size of the generated dataset:** 3.74 MB
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- **Total amount of disk used:** 13.34 MB
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An example of 'test' looks as follows.
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```
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```
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#### mlqa-translate-test.hi
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- **Size of downloaded dataset files:** 9.61 MB
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- **Size of the generated dataset:** 4.40 MB
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- **Total amount of disk used:** 14.00 MB
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An example of 'test' looks as follows.
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```
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```
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#### mlqa-translate-test.vi
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- **Size of downloaded dataset files:** 9.61 MB
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- **Size of the generated dataset:** 5.72 MB
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- **Total amount of disk used:** 15.33 MB
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An example of 'test' looks as follows.
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```
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```
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### [Data Fields](#data-fields)
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The data fields are the same among all splits.
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#### mlqa-translate-test.ar
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- `context`: a `string` feature.
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- `question`: a `string` feature.
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- `answers`: a dictionary feature containing:
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- `answer_start`: a `int32` feature.
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- `text`: a `string` feature.
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- `id`: a `string` feature.
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#### mlqa-translate-test.de
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- `context`: a `string` feature.
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- `question`: a `string` feature.
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- `answers`: a dictionary feature containing:
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- `answer_start`: a `int32` feature.
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- `text`: a `string` feature.
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- `id`: a `string` feature.
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#### mlqa-translate-test.es
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- `context`: a `string` feature.
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- `question`: a `string` feature.
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- `answers`: a dictionary feature containing:
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- `answer_start`: a `int32` feature.
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- `text`: a `string` feature.
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- `id`: a `string` feature.
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#### mlqa-translate-test.hi
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- `context`: a `string` feature.
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- `question`: a `string` feature.
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- `answers`: a dictionary feature containing:
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- `answer_start`: a `int32` feature.
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- `text`: a `string` feature.
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- `id`: a `string` feature.
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#### mlqa-translate-test.vi
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- `context`: a `string` feature.
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- `question`: a `string` feature.
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- `answers`: a dictionary feature containing:
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- `answer_start`: a `int32` feature.
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- `text`: a `string` feature.
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- `id`: a `string` feature.
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### [Data Splits Sample Size](#data-splits-sample-size)
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| name |test|
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|----------------------|---:|
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|mlqa-translate-test.ar|5335|
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|mlqa-translate-test.de|4517|
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|mlqa-translate-test.es|5253|
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|mlqa-translate-test.hi|4918|
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|mlqa-translate-test.vi|5495|
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## [Dataset Creation](#dataset-creation)
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### [Curation Rationale](#curation-rationale)
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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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### [Source Data](#source-data)
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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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### [Annotations](#annotations)
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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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### [Personal and Sensitive Information](#personal-and-sensitive-information)
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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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## [Considerations for Using the Data](#considerations-for-using-the-data)
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### [Social Impact of Dataset](#social-impact-of-dataset)
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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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### [Discussion of Biases](#discussion-of-biases)
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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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### [Other Known Limitations](#other-known-limitations)
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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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## [Additional Information](#additional-information)
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### [Dataset Curators](#dataset-curators)
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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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### [Licensing Information](#licensing-information)
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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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### [Citation Information](#citation-information)
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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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```
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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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