--- annotations_creators: - expert-generated language_creators: - expert-generated language: - ar - de - el - en - es - hi - ro - ru - th - tr - vi - zh license: - cc-by-sa-4.0 multilinguality: - multilingual size_categories: - unknown source_datasets: - extended|squad task_categories: - question-answering task_ids: - extractive-qa paperswithcode_id: xquad pretty_name: XQuAD dataset_info: - config_name: xquad.ar features: - name: id dtype: string - name: context dtype: string - name: question dtype: string - name: answers sequence: - name: text dtype: string - name: answer_start dtype: int32 splits: - name: validation num_bytes: 1722775 num_examples: 1190 download_size: 263002 dataset_size: 1722775 - config_name: xquad.de features: - name: id dtype: string - name: context dtype: string - name: question dtype: string - name: answers sequence: - name: text dtype: string - name: answer_start dtype: int32 splits: - name: validation num_bytes: 1283277 num_examples: 1190 download_size: 241957 dataset_size: 1283277 - config_name: xquad.el features: - name: id dtype: string - name: context dtype: string - name: question dtype: string - name: answers sequence: - name: text dtype: string - name: answer_start dtype: int32 splits: - name: validation num_bytes: 2206666 num_examples: 1190 download_size: 324379 dataset_size: 2206666 - config_name: xquad.en features: - name: id dtype: string - name: context dtype: string - name: question dtype: string - name: answers sequence: - name: text dtype: string - name: answer_start dtype: int32 splits: - name: validation num_bytes: 1116099 num_examples: 1190 download_size: 212372 dataset_size: 1116099 - config_name: xquad.es features: - name: id dtype: string - name: context dtype: string - name: question dtype: string - name: answers sequence: - name: text dtype: string - name: answer_start dtype: int32 splits: - name: validation num_bytes: 1273475 num_examples: 1190 download_size: 236874 dataset_size: 1273475 - config_name: xquad.hi features: - name: id dtype: string - name: context dtype: string - name: question dtype: string - name: answers sequence: - name: text dtype: string - name: answer_start dtype: int32 splits: - name: validation num_bytes: 2682951 num_examples: 1190 download_size: 322083 dataset_size: 2682951 - config_name: xquad.ro features: - name: id dtype: string - name: context dtype: string - name: question dtype: string - name: answers sequence: - name: text dtype: string - name: answer_start dtype: int32 splits: - name: validation num_bytes: 1299426 num_examples: 1190 download_size: 244467 dataset_size: 1299426 - config_name: xquad.ru features: - name: id dtype: string - name: context dtype: string - name: question dtype: string - name: answers sequence: - name: text dtype: string - name: answer_start dtype: int32 splits: - name: validation num_bytes: 2136966 num_examples: 1190 download_size: 321728 dataset_size: 2136966 - config_name: xquad.th features: - name: id dtype: string - name: context dtype: string - name: question dtype: string - name: answers sequence: - name: text dtype: string - name: answer_start dtype: int32 splits: - name: validation num_bytes: 2854935 num_examples: 1190 download_size: 337307 dataset_size: 2854935 - config_name: xquad.tr features: - name: id dtype: string - name: context dtype: string - name: question dtype: string - name: answers sequence: - name: text dtype: string - name: answer_start dtype: int32 splits: - name: validation num_bytes: 1210739 num_examples: 1190 download_size: 228364 dataset_size: 1210739 - config_name: xquad.vi features: - name: id dtype: string - name: context dtype: string - name: question dtype: string - name: answers sequence: - name: text dtype: string - name: answer_start dtype: int32 splits: - name: validation num_bytes: 1477215 num_examples: 1190 download_size: 237644 dataset_size: 1477215 - config_name: xquad.zh features: - name: id dtype: string - name: context dtype: string - name: question dtype: string - name: answers sequence: - name: text dtype: string - name: answer_start dtype: int32 splits: - name: validation num_bytes: 984217 num_examples: 1190 download_size: 205768 dataset_size: 984217 configs: - config_name: xquad.ar data_files: - split: validation path: xquad.ar/validation-* - config_name: xquad.de data_files: - split: validation path: xquad.de/validation-* - config_name: xquad.el data_files: - split: validation path: xquad.el/validation-* - config_name: xquad.en data_files: - split: validation path: xquad.en/validation-* - config_name: xquad.es data_files: - split: validation path: xquad.es/validation-* - config_name: xquad.hi data_files: - split: validation path: xquad.hi/validation-* - config_name: xquad.ro data_files: - split: validation path: xquad.ro/validation-* - config_name: xquad.ru data_files: - split: validation path: xquad.ru/validation-* - config_name: xquad.th data_files: - split: validation path: xquad.th/validation-* - config_name: xquad.tr data_files: - split: validation path: xquad.tr/validation-* - config_name: xquad.vi data_files: - split: validation path: xquad.vi/validation-* - config_name: xquad.zh data_files: - split: validation path: xquad.zh/validation-* --- # Dataset Card for "xquad" ## 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/deepmind/xquad](https://github.com/deepmind/xquad) - **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:** 146.31 MB - **Size of the generated dataset:** 18.97 MB - **Total amount of disk used:** 165.28 MB ### Dataset Summary XQuAD (Cross-lingual Question Answering Dataset) is a benchmark dataset for evaluating cross-lingual question answering performance. The dataset consists of a subset of 240 paragraphs and 1190 question-answer pairs from the development set of SQuAD v1.1 (Rajpurkar et al., 2016) together with their professional translations into ten languages: Spanish, German, Greek, Russian, Turkish, Arabic, Vietnamese, Thai, Chinese, and Hindi. Consequently, the dataset is entirely parallel across 11 languages. ### Supported Tasks and Leaderboards [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 ### Data Instances #### xquad.ar - **Size of downloaded dataset files:** 13.30 MB - **Size of the generated dataset:** 1.72 MB - **Total amount of disk used:** 15.03 MB An example of 'validation' looks as follows. ``` This example was too long and was cropped: { "answers": { "answer_start": [527], "text": ["136"] }, "context": "\"Die Verteidigung der Panthers gab nur 308 Punkte ab und belegte den sechsten Platz in der Liga, während sie die NFL mit 24 Inte...", "id": "56beb4343aeaaa14008c925c", "question": "Wie viele Sacks erzielte Jared Allen in seiner Karriere?" } ``` #### xquad.de - **Size of downloaded dataset files:** 13.30 MB - **Size of the generated dataset:** 1.29 MB - **Total amount of disk used:** 14.59 MB An example of 'validation' looks as follows. ``` This example was too long and was cropped: { "answers": { "answer_start": [527], "text": ["136"] }, "context": "\"Die Verteidigung der Panthers gab nur 308 Punkte ab und belegte den sechsten Platz in der Liga, während sie die NFL mit 24 Inte...", "id": "56beb4343aeaaa14008c925c", "question": "Wie viele Sacks erzielte Jared Allen in seiner Karriere?" } ``` #### xquad.el - **Size of downloaded dataset files:** 13.30 MB - **Size of the generated dataset:** 2.21 MB - **Total amount of disk used:** 15.51 MB An example of 'validation' looks as follows. ``` This example was too long and was cropped: { "answers": { "answer_start": [527], "text": ["136"] }, "context": "\"Die Verteidigung der Panthers gab nur 308 Punkte ab und belegte den sechsten Platz in der Liga, während sie die NFL mit 24 Inte...", "id": "56beb4343aeaaa14008c925c", "question": "Wie viele Sacks erzielte Jared Allen in seiner Karriere?" } ``` #### xquad.en - **Size of downloaded dataset files:** 13.30 MB - **Size of the generated dataset:** 1.12 MB - **Total amount of disk used:** 14.42 MB An example of 'validation' looks as follows. ``` This example was too long and was cropped: { "answers": { "answer_start": [527], "text": ["136"] }, "context": "\"Die Verteidigung der Panthers gab nur 308 Punkte ab und belegte den sechsten Platz in der Liga, während sie die NFL mit 24 Inte...", "id": "56beb4343aeaaa14008c925c", "question": "Wie viele Sacks erzielte Jared Allen in seiner Karriere?" } ``` #### xquad.es - **Size of downloaded dataset files:** 13.30 MB - **Size of the generated dataset:** 1.28 MB - **Total amount of disk used:** 14.58 MB An example of 'validation' looks as follows. ``` This example was too long and was cropped: { "answers": { "answer_start": [527], "text": ["136"] }, "context": "\"Die Verteidigung der Panthers gab nur 308 Punkte ab und belegte den sechsten Platz in der Liga, während sie die NFL mit 24 Inte...", "id": "56beb4343aeaaa14008c925c", "question": "Wie viele Sacks erzielte Jared Allen in seiner Karriere?" } ``` ### Data Fields The data fields are the same among all splits. #### xquad.ar - `id`: a `string` feature. - `context`: a `string` feature. - `question`: a `string` feature. - `answers`: a dictionary feature containing: - `text`: a `string` feature. - `answer_start`: a `int32` feature. #### xquad.de - `id`: a `string` feature. - `context`: a `string` feature. - `question`: a `string` feature. - `answers`: a dictionary feature containing: - `text`: a `string` feature. - `answer_start`: a `int32` feature. #### xquad.el - `id`: a `string` feature. - `context`: a `string` feature. - `question`: a `string` feature. - `answers`: a dictionary feature containing: - `text`: a `string` feature. - `answer_start`: a `int32` feature. #### xquad.en - `id`: a `string` feature. - `context`: a `string` feature. - `question`: a `string` feature. - `answers`: a dictionary feature containing: - `text`: a `string` feature. - `answer_start`: a `int32` feature. #### xquad.es - `id`: a `string` feature. - `context`: a `string` feature. - `question`: a `string` feature. - `answers`: a dictionary feature containing: - `text`: a `string` feature. - `answer_start`: a `int32` feature. ### Data Splits | name | validation | | -------- | ---------: | | xquad.ar | 1190 | | xquad.de | 1190 | | xquad.el | 1190 | | xquad.en | 1190 | | xquad.es | 1190 | ## 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{Artetxe:etal:2019, author = {Mikel Artetxe and Sebastian Ruder and Dani Yogatama}, title = {On the cross-lingual transferability of monolingual representations}, journal = {CoRR}, volume = {abs/1910.11856}, year = {2019}, archivePrefix = {arXiv}, eprint = {1910.11856} } ``` ### Contributions Thanks to [@lewtun](https://github.com/lewtun), [@patrickvonplaten](https://github.com/patrickvonplaten), [@thomwolf](https://github.com/thomwolf) for adding this dataset.