Datasets:
xquad_r

	---
	annotations_creators:
	- expert-generated
	language_creators:
	- found
	languages:
	ar:
	- ar
	de:
	- de
	el:
	- el
	en:
	- en
	es:
	- es
	hi:
	- hi
	ru:
	- ru
	th:
	- th
	tr:
	- tr
	vi:
	- vi
	zh:
	- zh
	licenses:
	- cc-by-sa-4-0
	multilinguality:
	- monolingual
	size_categories:
	- 1K<n<10K
	source_datasets:
	- extended\|squad
	- extended\|xquad
	task_categories:
	- question-answering
	task_ids:
	- extractive-qa
	paperswithcode_id: xquad-r
	---

	# Dataset Card for [Dataset Name]

	## 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: [LAReQA](https://github.com/google-research-datasets/lareqa)
	- Repository: [XQuAD-R](https://github.com/google-research-datasets/lareqa)
	- Paper: [LAReQA: Language-agnostic answer retrieval from a multilingual pool](https://arxiv.org/pdf/2004.05484.pdf)
	- Point of Contact: [Noah Constant](mailto:nconstant@google.com)


	### Dataset Summary

	XQuAD-R is a retrieval version of the XQuAD dataset (a cross-lingual extractive
	QA dataset). Like XQuAD, XQUAD-R is an 11-way parallel dataset, where each
	question appears in 11 different languages and has 11 parallel correct answers
	across the languages.


	### Supported Tasks and Leaderboards

	[More Information Needed]

	### Languages

	The dataset can be found with the following languages:
	* Arabic: `xquad-r/ar.json`
	* German: `xquad-r/de.json`
	* Greek: `xquad-r/el.json`
	* English: `xquad-r/en.json`
	* Spanish: `xquad-r/es.json`
	* Hindi: `xquad-r/hi.json`
	* Russian: `xquad-r/ru.json`
	* Thai: `xquad-r/th.json`
	* Turkish: `xquad-r/tr.json`
	* Vietnamese: `xquad-r/vi.json`
	* Chinese: `xquad-r/zh.json`

	## Dataset Structure

	[More Information Needed]

	### Data Instances

	The number of questions and candidate sentences for each language for XQuAD-R is shown in the table below:

	\| \| XQuAD-R \| \|
	\|-----\|-----------\|------------\|
	\| \| questions \| candidates \|
	\| ar \| 1190 \| 1222 \|
	\| de \| 1190 \| 1276 \|
	\| el \| 1190 \| 1234 \|
	\| en \| 1190 \| 1180 \|
	\| es \| 1190 \| 1215 \|
	\| hi \| 1190 \| 1244 \|
	\| ru \| 1190 \| 1219 \|
	\| th \| 1190 \| 852 \|
	\| tr \| 1190 \| 1167 \|
	\| vi \| 1190 \| 1209 \|
	\| zh \| 1190 \| 1196 \|

	### Data Fields

	[More Information Needed]

	### Data Splits

	[More Information Needed]

	## Dataset Creation

	[More Information Needed]

	### Curation Rationale

	[More Information Needed]

	### Source Data

	[More Information Needed]

	#### Initial Data Collection and Normalization

	[More Information Needed]

	#### Who are the source language producers?

	[More Information Needed]

	### Annotations

	[More Information Needed]

	#### Annotation process

	[More Information Needed]

	#### Who are the annotators?

	[More Information Needed]

	### Personal and Sensitive Information

	[More Information Needed]

	## Considerations for Using the Data

	[More Information Needed]

	### Social Impact of Dataset

	[More Information Needed]

	### Discussion of Biases

	[More Information Needed]

	### Other Known Limitations

	[More Information Needed]

	## Additional Information

	[More Information Needed]

	### Dataset Curators

	The dataset was initially created by Uma Roy, Noah Constant, Rami Al-Rfou, Aditya Barua, Aaron Phillips and Yinfei Yang, during work done at Google Research.

	### Licensing Information

	XQuAD-R is distributed under the [CC BY-SA 4.0 license](https://creativecommons.org/licenses/by-sa/4.0/legalcode).

	### Citation Information

	```
	@article{roy2020lareqa,
	title={LAReQA: Language-agnostic answer retrieval from a multilingual pool},
	author={Roy, Uma and Constant, Noah and Al-Rfou, Rami and Barua, Aditya and Phillips, Aaron and Yang, Yinfei},
	journal={arXiv preprint arXiv:2004.05484},
	year={2020}
	}
	```

	### Contributions

	Thanks to [@manandey](https://github.com/manandey) for adding this dataset.