Datasets:
xquad

	---
	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.