--- --- # Dataset Card for "mlqa" ## 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 - **Homepage:** [https://github.com/facebookresearch/MLQA](https://github.com/facebookresearch/MLQA) - **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:** 3958.58 MB - **Size of the generated dataset:** 867.85 MB - **Total amount of disk used:** 4826.43 MB ### Dataset Summary MLQA (MultiLingual Question Answering) is a benchmark dataset for evaluating cross-lingual question answering performance. MLQA consists of over 5K extractive QA instances (12K in English) in SQuAD format in seven languages - English, Arabic, German, Spanish, Hindi, Vietnamese and Simplified Chinese. MLQA is highly parallel, with QA instances parallel between 4 different languages on average. ### Supported Tasks [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 We show detailed information for up to 5 configurations of the dataset. ### Data Instances #### mlqa-translate-test.ar - **Size of downloaded dataset files:** 9.61 MB - **Size of the generated dataset:** 5.23 MB - **Total amount of disk used:** 14.84 MB An example of 'test' looks as follows. ``` ``` #### mlqa-translate-test.de - **Size of downloaded dataset files:** 9.61 MB - **Size of the generated dataset:** 3.70 MB - **Total amount of disk used:** 13.31 MB An example of 'test' looks as follows. ``` ``` #### mlqa-translate-test.es - **Size of downloaded dataset files:** 9.61 MB - **Size of the generated dataset:** 3.74 MB - **Total amount of disk used:** 13.34 MB An example of 'test' looks as follows. ``` ``` #### mlqa-translate-test.hi - **Size of downloaded dataset files:** 9.61 MB - **Size of the generated dataset:** 4.40 MB - **Total amount of disk used:** 14.00 MB An example of 'test' looks as follows. ``` ``` #### mlqa-translate-test.vi - **Size of downloaded dataset files:** 9.61 MB - **Size of the generated dataset:** 5.72 MB - **Total amount of disk used:** 15.33 MB An example of 'test' looks as follows. ``` ``` ### Data Fields The data fields are the same among all splits. #### mlqa-translate-test.ar - `context`: a `string` feature. - `question`: a `string` feature. - `answers`: a dictionary feature containing: - `answer_start`: a `int32` feature. - `text`: a `string` feature. - `id`: a `string` feature. #### mlqa-translate-test.de - `context`: a `string` feature. - `question`: a `string` feature. - `answers`: a dictionary feature containing: - `answer_start`: a `int32` feature. - `text`: a `string` feature. - `id`: a `string` feature. #### mlqa-translate-test.es - `context`: a `string` feature. - `question`: a `string` feature. - `answers`: a dictionary feature containing: - `answer_start`: a `int32` feature. - `text`: a `string` feature. - `id`: a `string` feature. #### mlqa-translate-test.hi - `context`: a `string` feature. - `question`: a `string` feature. - `answers`: a dictionary feature containing: - `answer_start`: a `int32` feature. - `text`: a `string` feature. - `id`: a `string` feature. #### mlqa-translate-test.vi - `context`: a `string` feature. - `question`: a `string` feature. - `answers`: a dictionary feature containing: - `answer_start`: a `int32` feature. - `text`: a `string` feature. - `id`: a `string` feature. ### Data Splits Sample Size | name |test| |----------------------|---:| |mlqa-translate-test.ar|5335| |mlqa-translate-test.de|4517| |mlqa-translate-test.es|5253| |mlqa-translate-test.hi|4918| |mlqa-translate-test.vi|5495| ## 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 [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations [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 ``` @article{lewis2019mlqa, title={MLQA: Evaluating Cross-lingual Extractive Question Answering}, author={Lewis, Patrick and Oguz, Barlas and Rinott, Ruty and Riedel, Sebastian and Schwenk, Holger}, journal={arXiv preprint arXiv:1910.07475}, year={2019} } ``` ### Contributions 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.