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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 |
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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 |
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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 |
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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 |
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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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We show detailed information for up to 5 configurations of the dataset. |
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### 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 |
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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 |
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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 |
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### 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 |
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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 |
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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 |
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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 |
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### 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 |
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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 |
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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 |
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### 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 |
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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 |
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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. |
