Datasets:

illuin
/

fquad

	---
	annotations_creators:
	- crowdsourced
	language_creators:
	- crowdsourced
	- found
	language:
	- fr
	license:
	- cc-by-nc-sa-3.0
	multilinguality:
	- monolingual
	size_categories:
	- 1K<n<10K
	source_datasets:
	- original
	task_categories:
	- question-answering
	- text-retrieval
	task_ids:
	- extractive-qa
	- closed-domain-qa
	paperswithcode_id: fquad
	pretty_name: 'FQuAD: French Question Answering Dataset'
	dataset_info:
	features:
	- name: context
	dtype: string
	- name: questions
	sequence: string
	- name: answers
	sequence:
	- name: texts
	dtype: string
	- name: answers_starts
	dtype: int32
	splits:
	- name: train
	num_bytes: 5910248
	num_examples: 4921
	- name: validation
	num_bytes: 1033253
	num_examples: 768
	download_size: 3292236
	dataset_size: 6943501
	---

	# Dataset Card for FQuAD

	## 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://fquad.illuin.tech/](https://fquad.illuin.tech/)
	- Paper: [FQuAD: French Question Answering Dataset](https://arxiv.org/abs/2002.06071)
	- Point of Contact: [https://www.illuin.tech/contact/](https://www.illuin.tech/contact/)
	- Size of downloaded dataset files: 3.14 MB
	- Size of the generated dataset: 6.62 MB
	- Total amount of disk used: 9.76 MB

	### Dataset Summary

	FQuAD: French Question Answering Dataset
	We introduce FQuAD, a native French Question Answering Dataset.

	FQuAD contains 25,000+ question and answer pairs.
	Finetuning CamemBERT on FQuAD yields a F1 score of 88% and an exact match of 77.9%.
	Developped to provide a SQuAD equivalent in the French language. Questions are original and based on high quality Wikipedia articles.

	### Supported Tasks and Leaderboards

	- `closed-domain-qa`, `text-retrieval`: This dataset is intended to be used for `closed-domain-qa`, but can also be used for information retrieval tasks.

	### Languages

	This dataset is exclusively in French, with context data from Wikipedia and questions from French university students (`fr`).

	## Dataset Structure

	### Data Instances

	#### default

	- Size of downloaded dataset files: 3.14 MB
	- Size of the generated dataset: 6.62 MB
	- Total amount of disk used: 9.76 MB

	An example of 'validation' looks as follows.
	```
	This example was too long and was cropped:

	{
	"answers": {
	"answers_starts": [161, 46, 204],
	"texts": ["La Vierge aux rochers", "documents contemporains", "objets de spéculations"]
	},
	"context": "\"Les deux tableaux sont certes décrits par des documents contemporains à leur création mais ceux-ci ne le font qu'indirectement ...",
	"questions": ["Que concerne principalement les documents ?", "Par quoi sont décrit les deux tableaux ?", "Quels types d'objets sont les deux tableaux aux yeux des chercheurs ?"]
	}
	```

	### Data Fields

	The data fields are the same among all splits.

	#### default
	- `context`: a `string` feature.
	- `questions`: a `list` of `string` features.
	- `answers`: a dictionary feature containing:
	- `texts`: a `string` feature.
	- `answers_starts`: a `int32` feature.

	### Data Splits

	The FQuAD dataset has 3 splits: _train_, _validation_, and _test_. The _test_ split is however not released publicly at the moment. The splits contain disjoint sets of articles. The following table contains stats about each split.

	Dataset Split \| Number of Articles in Split \| Number of paragraphs in split \| Number of questions in split
	--------------\|------------------------------\|--------------------------\|-------------------------
	Train \| 117 \| 4921 \| 20731
	Validation \| 768 \| 51.0% \| 3188
	Test \| 10 \| 532 \| 2189

	## Dataset Creation

	### Curation Rationale
	The FQuAD dataset was created by Illuin technology. It was developped to provide a SQuAD equivalent in the French language. Questions are original and based on high quality Wikipedia articles.

	### Source Data

	The text used for the contexts are from the curated list of French High-Quality Wikipedia [articles](https://fr.wikipedia.org/wiki/Cat%C3%A9gorie:Article_de_qualit%C3%A9).
	### Annotations

	Annotations (spans and questions) are written by students of the CentraleSupélec school of engineering.
	Wikipedia articles were scraped and Illuin used an internally-developped tool to help annotators ask questions and indicate the answer spans.
	Annotators were given paragraph sized contexts and asked to generate 4/5 non-trivial questions about information in the context.

	### Personal and Sensitive Information

	No personal or sensitive information is included in this dataset. This has been manually verified by the dataset curators.

	## Considerations for Using the Data

	Users should consider this dataset is sampled from Wikipedia data which might not be representative of all QA use cases.

	### Social Impact of Dataset

	The social biases of this dataset have not yet been investigated.

	### Discussion of Biases

	The social biases of this dataset have not yet been investigated, though articles have been selected by their quality and objectivity.

	### Other Known Limitations

	The limitations of the FQuAD dataset have not yet been investigated.

	## Additional Information

	### Dataset Curators

	Illuin Technology: [https://fquad.illuin.tech/](https://fquad.illuin.tech/)

	### Licensing Information

	The FQuAD dataset is licensed under the [CC BY-NC-SA 3.0](https://creativecommons.org/licenses/by-nc-sa/3.0/fr/) license.

	It allows personal and academic research uses of the dataset, but not commercial uses. So concretely, the dataset cannot be used to train a model that is then put into production within a business or a company. For this type of commercial use, we invite FQuAD users to contact [the authors](https://www.illuin.tech/contact/) to discuss possible partnerships.

	### Citation Information

	```
	@ARTICLE{2020arXiv200206071
	author = {Martin, d'Hoffschmidt and Maxime, Vidal and
	Wacim, Belblidia and Tom, Brendlé},
	title = "{FQuAD: French Question Answering Dataset}",
	journal = {arXiv e-prints},
	keywords = {Computer Science - Computation and Language},
	year = "2020",
	month = "Feb",
	eid = {arXiv:2002.06071},
	pages = {arXiv:2002.06071},
	archivePrefix = {arXiv},
	eprint = {2002.06071},
	primaryClass = {cs.CL}
	}

	```


	### Contributions

	Thanks to [@thomwolf](https://github.com/thomwolf), [@mariamabarham](https://github.com/mariamabarham), [@patrickvonplaten](https://github.com/patrickvonplaten), [@lewtun](https://github.com/lewtun), [@albertvillanova](https://github.com/albertvillanova) for adding this dataset.
	Thanks to [@ManuelFay](https://github.com/manuelfay) for providing information on the dataset creation process.