Datasets:
mkqa

	---
	annotations_creators:
	- crowdsourced
	language_creators:
	- found
	language:
	- ar
	- da
	- de
	- en
	- es
	- fi
	- fr
	- he
	- hu
	- it
	- ja
	- km
	- ko
	- ms
	- nl
	- 'no'
	- pl
	- pt
	- ru
	- sv
	- th
	- tr
	- vi
	- zh
	license:
	- cc-by-3.0
	multilinguality:
	- multilingual
	- translation
	size_categories:
	- 10K<n<100K
	source_datasets:
	- extended\|natural_questions
	- original
	task_categories:
	- question-answering
	task_ids:
	- open-domain-qa
	paperswithcode_id: mkqa
	pretty_name: Multilingual Knowledge Questions and Answers
	dataset_info:
	features:
	- name: example_id
	dtype: string
	- name: queries
	struct:
	- name: ar
	dtype: string
	- name: da
	dtype: string
	- name: de
	dtype: string
	- name: en
	dtype: string
	- name: es
	dtype: string
	- name: fi
	dtype: string
	- name: fr
	dtype: string
	- name: he
	dtype: string
	- name: hu
	dtype: string
	- name: it
	dtype: string
	- name: ja
	dtype: string
	- name: ko
	dtype: string
	- name: km
	dtype: string
	- name: ms
	dtype: string
	- name: nl
	dtype: string
	- name: 'no'
	dtype: string
	- name: pl
	dtype: string
	- name: pt
	dtype: string
	- name: ru
	dtype: string
	- name: sv
	dtype: string
	- name: th
	dtype: string
	- name: tr
	dtype: string
	- name: vi
	dtype: string
	- name: zh_cn
	dtype: string
	- name: zh_hk
	dtype: string
	- name: zh_tw
	dtype: string
	- name: query
	dtype: string
	- name: answers
	struct:
	- name: ar
	list:
	- name: type
	dtype:
	class_label:
	names:
	'0': entity
	'1': long_answer
	'2': unanswerable
	'3': date
	'4': number
	'5': number_with_unit
	'6': short_phrase
	'7': binary
	- name: entity
	dtype: string
	- name: text
	dtype: string
	- name: aliases
	list: string
	- name: da
	list:
	- name: type
	dtype:
	class_label:
	names:
	'0': entity
	'1': long_answer
	'2': unanswerable
	'3': date
	'4': number
	'5': number_with_unit
	'6': short_phrase
	'7': binary
	- name: entity
	dtype: string
	- name: text
	dtype: string
	- name: aliases
	list: string
	- name: de
	list:
	- name: type
	dtype:
	class_label:
	names:
	'0': entity
	'1': long_answer
	'2': unanswerable
	'3': date
	'4': number
	'5': number_with_unit
	'6': short_phrase
	'7': binary
	- name: entity
	dtype: string
	- name: text
	dtype: string
	- name: aliases
	list: string
	- name: en
	list:
	- name: type
	dtype:
	class_label:
	names:
	'0': entity
	'1': long_answer
	'2': unanswerable
	'3': date
	'4': number
	'5': number_with_unit
	'6': short_phrase
	'7': binary
	- name: entity
	dtype: string
	- name: text
	dtype: string
	- name: aliases
	list: string
	- name: es
	list:
	- name: type
	dtype:
	class_label:
	names:
	'0': entity
	'1': long_answer
	'2': unanswerable
	'3': date
	'4': number
	'5': number_with_unit
	'6': short_phrase
	'7': binary
	- name: entity
	dtype: string
	- name: text
	dtype: string
	- name: aliases
	list: string
	- name: fi
	list:
	- name: type
	dtype:
	class_label:
	names:
	'0': entity
	'1': long_answer
	'2': unanswerable
	'3': date
	'4': number
	'5': number_with_unit
	'6': short_phrase
	'7': binary
	- name: entity
	dtype: string
	- name: text
	dtype: string
	- name: aliases
	list: string
	- name: fr
	list:
	- name: type
	dtype:
	class_label:
	names:
	'0': entity
	'1': long_answer
	'2': unanswerable
	'3': date
	'4': number
	'5': number_with_unit
	'6': short_phrase
	'7': binary
	- name: entity
	dtype: string
	- name: text
	dtype: string
	- name: aliases
	list: string
	- name: he
	list:
	- name: type
	dtype:
	class_label:
	names:
	'0': entity
	'1': long_answer
	'2': unanswerable
	'3': date
	'4': number
	'5': number_with_unit
	'6': short_phrase
	'7': binary
	- name: entity
	dtype: string
	- name: text
	dtype: string
	- name: aliases
	list: string
	- name: hu
	list:
	- name: type
	dtype:
	class_label:
	names:
	'0': entity
	'1': long_answer
	'2': unanswerable
	'3': date
	'4': number
	'5': number_with_unit
	'6': short_phrase
	'7': binary
	- name: entity
	dtype: string
	- name: text
	dtype: string
	- name: aliases
	list: string
	- name: it
	list:
	- name: type
	dtype:
	class_label:
	names:
	'0': entity
	'1': long_answer
	'2': unanswerable
	'3': date
	'4': number
	'5': number_with_unit
	'6': short_phrase
	'7': binary
	- name: entity
	dtype: string
	- name: text
	dtype: string
	- name: aliases
	list: string
	- name: ja
	list:
	- name: type
	dtype:
	class_label:
	names:
	'0': entity
	'1': long_answer
	'2': unanswerable
	'3': date
	'4': number
	'5': number_with_unit
	'6': short_phrase
	'7': binary
	- name: entity
	dtype: string
	- name: text
	dtype: string
	- name: aliases
	list: string
	- name: ko
	list:
	- name: type
	dtype:
	class_label:
	names:
	'0': entity
	'1': long_answer
	'2': unanswerable
	'3': date
	'4': number
	'5': number_with_unit
	'6': short_phrase
	'7': binary
	- name: entity
	dtype: string
	- name: text
	dtype: string
	- name: aliases
	list: string
	- name: km
	list:
	- name: type
	dtype:
	class_label:
	names:
	'0': entity
	'1': long_answer
	'2': unanswerable
	'3': date
	'4': number
	'5': number_with_unit
	'6': short_phrase
	'7': binary
	- name: entity
	dtype: string
	- name: text
	dtype: string
	- name: aliases
	list: string
	- name: ms
	list:
	- name: type
	dtype:
	class_label:
	names:
	'0': entity
	'1': long_answer
	'2': unanswerable
	'3': date
	'4': number
	'5': number_with_unit
	'6': short_phrase
	'7': binary
	- name: entity
	dtype: string
	- name: text
	dtype: string
	- name: aliases
	list: string
	- name: nl
	list:
	- name: type
	dtype:
	class_label:
	names:
	'0': entity
	'1': long_answer
	'2': unanswerable
	'3': date
	'4': number
	'5': number_with_unit
	'6': short_phrase
	'7': binary
	- name: entity
	dtype: string
	- name: text
	dtype: string
	- name: aliases
	list: string
	- name: 'no'
	list:
	- name: type
	dtype:
	class_label:
	names:
	'0': entity
	'1': long_answer
	'2': unanswerable
	'3': date
	'4': number
	'5': number_with_unit
	'6': short_phrase
	'7': binary
	- name: entity
	dtype: string
	- name: text
	dtype: string
	- name: aliases
	list: string
	- name: pl
	list:
	- name: type
	dtype:
	class_label:
	names:
	'0': entity
	'1': long_answer
	'2': unanswerable
	'3': date
	'4': number
	'5': number_with_unit
	'6': short_phrase
	'7': binary
	- name: entity
	dtype: string
	- name: text
	dtype: string
	- name: aliases
	list: string
	- name: pt
	list:
	- name: type
	dtype:
	class_label:
	names:
	'0': entity
	'1': long_answer
	'2': unanswerable
	'3': date
	'4': number
	'5': number_with_unit
	'6': short_phrase
	'7': binary
	- name: entity
	dtype: string
	- name: text
	dtype: string
	- name: aliases
	list: string
	- name: ru
	list:
	- name: type
	dtype:
	class_label:
	names:
	'0': entity
	'1': long_answer
	'2': unanswerable
	'3': date
	'4': number
	'5': number_with_unit
	'6': short_phrase
	'7': binary
	- name: entity
	dtype: string
	- name: text
	dtype: string
	- name: aliases
	list: string
	- name: sv
	list:
	- name: type
	dtype:
	class_label:
	names:
	'0': entity
	'1': long_answer
	'2': unanswerable
	'3': date
	'4': number
	'5': number_with_unit
	'6': short_phrase
	'7': binary
	- name: entity
	dtype: string
	- name: text
	dtype: string
	- name: aliases
	list: string
	- name: th
	list:
	- name: type
	dtype:
	class_label:
	names:
	'0': entity
	'1': long_answer
	'2': unanswerable
	'3': date
	'4': number
	'5': number_with_unit
	'6': short_phrase
	'7': binary
	- name: entity
	dtype: string
	- name: text
	dtype: string
	- name: aliases
	list: string
	- name: tr
	list:
	- name: type
	dtype:
	class_label:
	names:
	'0': entity
	'1': long_answer
	'2': unanswerable
	'3': date
	'4': number
	'5': number_with_unit
	'6': short_phrase
	'7': binary
	- name: entity
	dtype: string
	- name: text
	dtype: string
	- name: aliases
	list: string
	- name: vi
	list:
	- name: type
	dtype:
	class_label:
	names:
	'0': entity
	'1': long_answer
	'2': unanswerable
	'3': date
	'4': number
	'5': number_with_unit
	'6': short_phrase
	'7': binary
	- name: entity
	dtype: string
	- name: text
	dtype: string
	- name: aliases
	list: string
	- name: zh_cn
	list:
	- name: type
	dtype:
	class_label:
	names:
	'0': entity
	'1': long_answer
	'2': unanswerable
	'3': date
	'4': number
	'5': number_with_unit
	'6': short_phrase
	'7': binary
	- name: entity
	dtype: string
	- name: text
	dtype: string
	- name: aliases
	list: string
	- name: zh_hk
	list:
	- name: type
	dtype:
	class_label:
	names:
	'0': entity
	'1': long_answer
	'2': unanswerable
	'3': date
	'4': number
	'5': number_with_unit
	'6': short_phrase
	'7': binary
	- name: entity
	dtype: string
	- name: text
	dtype: string
	- name: aliases
	list: string
	- name: zh_tw
	list:
	- name: type
	dtype:
	class_label:
	names:
	'0': entity
	'1': long_answer
	'2': unanswerable
	'3': date
	'4': number
	'5': number_with_unit
	'6': short_phrase
	'7': binary
	- name: entity
	dtype: string
	- name: text
	dtype: string
	- name: aliases
	list: string
	config_name: mkqa
	splits:
	- name: train
	num_bytes: 36005650
	num_examples: 10000
	download_size: 11903948
	dataset_size: 36005650
	---

	# Dataset Card for MKQA: Multilingual Knowledge Questions & Answers

	## 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/apple/ml-mkqa/)
	- [Paper:](https://arxiv.org/abs/2007.15207)

	### Dataset Summary

	MKQA contains 10,000 queries sampled from the [Google Natural Questions dataset](https://github.com/google-research-datasets/natural-questions).

	For each query we collect new passage-independent answers.
	These queries and answers are then human translated into 25 Non-English languages.

	### Supported Tasks and Leaderboards

	`question-answering`

	### Languages

	\| Language code \| Language name \|
	\|---------------\|---------------\|
	\| `ar` \| `Arabic` \|
	\| `da` \| `Danish` \|
	\| `de` \| `German` \|
	\| `en` \| `English` \|
	\| `es` \| `Spanish` \|
	\| `fi` \| `Finnish` \|
	\| `fr` \| `French` \|
	\| `he` \| `Hebrew` \|
	\| `hu` \| `Hungarian` \|
	\| `it` \| `Italian` \|
	\| `ja` \| `Japanese` \|
	\| `ko` \| `Korean` \|
	\| `km` \| `Khmer` \|
	\| `ms` \| `Malay` \|
	\| `nl` \| `Dutch` \|
	\| `no` \| `Norwegian` \|
	\| `pl` \| `Polish` \|
	\| `pt` \| `Portuguese` \|
	\| `ru` \| `Russian` \|
	\| `sv` \| `Swedish` \|
	\| `th` \| `Thai` \|
	\| `tr` \| `Turkish` \|
	\| `vi` \| `Vietnamese` \|
	\| `zh_cn` \| `Chinese (Simplified)` \|
	\| `zh_hk` \| `Chinese (Hong kong)` \|
	\| `zh_tw` \| `Chinese (Traditional)` \|

	## Dataset Structure

	### Data Instances

	An example from the data set looks as follows:

	```
	{
	'example_id': 563260143484355911,
	'queries': {
	'en': "who sings i hear you knocking but you can't come in",
	'ru': "кто поет i hear you knocking but you can't come in",
	'ja': '「 I hear you knocking」は誰が歌っていますか',
	'zh_cn': "《i hear you knocking but you can't come in》是谁演唱的",
	...
	},
	'query': "who sings i hear you knocking but you can't come in",
	'answers': {'en': [{'type': 'entity',
	'entity': 'Q545186',
	'text': 'Dave Edmunds',
	'aliases': []}],
	'ru': [{'type': 'entity',
	'entity': 'Q545186',
	'text': 'Эдмундс, Дэйв',
	'aliases': ['Эдмундс', 'Дэйв Эдмундс', 'Эдмундс Дэйв', 'Dave Edmunds']}],
	'ja': [{'type': 'entity',
	'entity': 'Q545186',
	'text': 'デイヴ・エドモンズ',
	'aliases': ['デーブ・エドモンズ', 'デイブ・エドモンズ']}],
	'zh_cn': [{'type': 'entity', 'text': '戴维·埃德蒙兹 ', 'entity': 'Q545186'}],
	...
	},
	}

	```

	### Data Fields

	Each example in the dataset contains the unique Natural Questions `example_id`, the original English `query`, and then `queries` and `answers` in 26 languages.
	Each answer is labelled with an answer type. The breakdown is:

	\| Answer Type \| Occurrence \|
	\|---------------\|---------------\|
	\| `entity` \| `4221` \|
	\| `long_answer` \| `1815` \|
	\| `unanswerable` \| `1427` \|
	\| `date` \| `1174` \|
	\| `number` \| `485` \|
	\| `number_with_unit` \| `394` \|
	\| `short_phrase` \| `346` \|
	\| `binary` \| `138` \|

	For each language, there can be more than one acceptable textual answer, in order to capture a variety of possible valid answers.

	Detailed explanation of fields taken from [here](https://github.com/apple/ml-mkqa/#dataset)

	when `entity` field is not available it is set to an empty string ''.
	when `aliases` field is not available it is set to an empty list [].

	### Data Splits

	- Train: 10000

	## Dataset Creation

	### Curation Rationale

	[More Information Needed]

	### Source Data

	[Google Natural Questions dataset](https://github.com/google-research-datasets/natural-questions)

	#### Initial Data Collection and Normalization

	[More Information Needed]

	#### Who are the source language producers?

	[More Information Needed]

	### Annotations

	#### Annotation process

	[More Information Needed]

	#### Who are the annotators?

	[More Information Needed]

	### Personal and Sensitive Information

	[More Information Needed]

	## Considerations for Using the Data

	### Social Impact of Dataset

	[More Information Needed]

	### Discussion of Biases

	[More Information Needed]

	### Other Known Limitations

	[More Information Needed]

	## Additional Information

	### Dataset Curators

	[More Information Needed]

	### Licensing Information

	[CC BY-SA 3.0](https://github.com/apple/ml-mkqa#license)

	### Citation Information
	```
	@misc{mkqa,
	title = {MKQA: A Linguistically Diverse Benchmark for Multilingual Open Domain Question Answering},
	author = {Shayne Longpre and Yi Lu and Joachim Daiber},
	year = {2020},
	URL = {https://arxiv.org/pdf/2007.15207.pdf}
	}
	```

	### Contributions

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