Datasets:
Tasks:
Question Answering
Sub-tasks:
extractive-qa
Multilinguality:
multilingual
Size Categories:
10K<n<100K
Language Creators:
crowdsourced
Annotations Creators:
crowdsourced
Source Datasets:
original
Tags:
License:
albertvillanova
HF staff
Convert dataset sizes from base 2 to base 10 in the dataset card (#1)
f6c80bc
| pretty_name: MLQA (MultiLingual Question Answering) | |
| language: | |
| - en | |
| - de | |
| - es | |
| - ar | |
| - zh | |
| - vi | |
| - hi | |
| license: | |
| - cc-by-sa-3.0 | |
| source_datasets: | |
| - original | |
| size_categories: | |
| - 10K<n<100K | |
| language_creators: | |
| - crowdsourced | |
| annotations_creators: | |
| - crowdsourced | |
| multilinguality: | |
| - multilingual | |
| task_categories: | |
| - question-answering | |
| task_ids: | |
| - extractive-qa | |
| paperswithcode_id: mlqa | |
| dataset_info: | |
| - config_name: mlqa-translate-train.ar | |
| features: | |
| - name: context | |
| dtype: string | |
| - name: question | |
| dtype: string | |
| - name: answers | |
| sequence: | |
| - name: answer_start | |
| dtype: int32 | |
| - name: text | |
| dtype: string | |
| - name: id | |
| dtype: string | |
| splits: | |
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| - name: validation | |
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| - config_name: mlqa-translate-train.de | |
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| dtype: string | |
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| - name: answers | |
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| # Dataset Card for "mlqa" | |
| ## Table of Contents | |
| - [Dataset Description](#dataset-description) | |
| - [Dataset Summary](#dataset-summary) | |
| - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) | |
| - [Languages](#languages) | |
| - [Dataset Structure](#dataset-structure) | |
| - [Data Instances](#data-instances) | |
| - [Data Fields](#data-fields) | |
| - [Data Splits](#data-splits) | |
| - [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:** 4.15 GB | |
| - **Size of the generated dataset:** 910.01 MB | |
| - **Total amount of disk used:** 5.06 GB | |
| ### 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 and Leaderboards | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Languages | |
| MLQA contains QA instances in 7 languages, English, Arabic, German, Spanish, Hindi, Vietnamese and Simplified Chinese. | |
| ## Dataset Structure | |
| ### Data Instances | |
| #### mlqa-translate-test.ar | |
| - **Size of downloaded dataset files:** 10.08 MB | |
| - **Size of the generated dataset:** 5.48 MB | |
| - **Total amount of disk used:** 15.56 MB | |
| An example of 'test' looks as follows. | |
| ``` | |
| ``` | |
| #### mlqa-translate-test.de | |
| - **Size of downloaded dataset files:** 10.08 MB | |
| - **Size of the generated dataset:** 3.88 MB | |
| - **Total amount of disk used:** 13.96 MB | |
| An example of 'test' looks as follows. | |
| ``` | |
| ``` | |
| #### mlqa-translate-test.es | |
| - **Size of downloaded dataset files:** 10.08 MB | |
| - **Size of the generated dataset:** 3.92 MB | |
| - **Total amount of disk used:** 13.99 MB | |
| An example of 'test' looks as follows. | |
| ``` | |
| ``` | |
| #### mlqa-translate-test.hi | |
| - **Size of downloaded dataset files:** 10.08 MB | |
| - **Size of the generated dataset:** 4.61 MB | |
| - **Total amount of disk used:** 14.68 MB | |
| An example of 'test' looks as follows. | |
| ``` | |
| ``` | |
| #### mlqa-translate-test.vi | |
| - **Size of downloaded dataset files:** 10.08 MB | |
| - **Size of the generated dataset:** 6.00 MB | |
| - **Total amount of disk used:** 16.07 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 | |
| | 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 | |
| #### Initial Data Collection and Normalization | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| #### Who are the source language producers? | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Annotations | |
| #### Annotation process | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| #### Who are the annotators? | |
| [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, | |
| eid = {arXiv: 1910.07475} | |
| } | |
| ``` | |
| ### 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. |