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

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+ ---
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+ ---
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+
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+ # Dataset Card for "mlqa"
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+
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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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+
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+ ## [Dataset Description](#dataset-description)
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+
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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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+
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+ ### [Dataset Summary](#dataset-summary)
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+
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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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+
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+ ### [Supported Tasks](#supported-tasks)
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+
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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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+
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+ ### [Languages](#languages)
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+
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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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+
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+ ## [Dataset Structure](#dataset-structure)
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+
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+ We show detailed information for up to 5 configurations of the dataset.
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+
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+ ### [Data Instances](#data-instances)
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+
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+ #### mlqa-translate-test.ar
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+
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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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+
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+ An example of 'test' looks as follows.
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+ ```
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+
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+ ```
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+
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+ #### mlqa-translate-test.de
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+
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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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+
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+ An example of 'test' looks as follows.
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+ ```
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+
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+ ```
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+
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+ #### mlqa-translate-test.es
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+
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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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+
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+ An example of 'test' looks as follows.
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+ ```
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+
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+ ```
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+
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+ #### mlqa-translate-test.hi
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+
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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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+
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+ An example of 'test' looks as follows.
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+ ```
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+
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+ ```
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+
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+ #### mlqa-translate-test.vi
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+
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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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+
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+ An example of 'test' looks as follows.
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+ ```
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+
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+ ```
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+
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+ ### [Data Fields](#data-fields)
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+
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+ The data fields are the same among all splits.
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+
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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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+
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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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+
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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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+
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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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+
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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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+
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+ ### [Data Splits Sample Size](#data-splits-sample-size)
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+
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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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+
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+ ## [Dataset Creation](#dataset-creation)
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+
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+ ### [Curation Rationale](#curation-rationale)
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+
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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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+
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+ ### [Source Data](#source-data)
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+
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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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+
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+ ### [Annotations](#annotations)
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+
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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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+
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+ ### [Personal and Sensitive Information](#personal-and-sensitive-information)
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+
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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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+
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+ ## [Considerations for Using the Data](#considerations-for-using-the-data)
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+
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+ ### [Social Impact of Dataset](#social-impact-of-dataset)
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+
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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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+
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+ ### [Discussion of Biases](#discussion-of-biases)
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+
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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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+
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+ ### [Other Known Limitations](#other-known-limitations)
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+
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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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+
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+ ## [Additional Information](#additional-information)
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+
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+ ### [Dataset Curators](#dataset-curators)
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+
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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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+
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+ ### [Licensing Information](#licensing-information)
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+
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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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+
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+ ### [Citation Information](#citation-information)
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+
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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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+ ```
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+
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+
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+ ### Contributions
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+
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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.