Datasets:
mlsum

	---
	annotations_creators:
	- found
	language_creators:
	- found
	language:
	- de
	- es
	- fr
	- ru
	- tr
	license:
	- other
	multilinguality:
	- multilingual
	size_categories:
	- 100K<n<1M
	- 10K<n<100K
	source_datasets:
	- extended\|cnn_dailymail
	- original
	task_categories:
	- summarization
	- translation
	- text-classification
	task_ids:
	- news-articles-summarization
	- multi-class-classification
	- multi-label-classification
	- topic-classification
	paperswithcode_id: mlsum
	pretty_name: MLSUM
	dataset_info:
	- config_name: de
	features:
	- name: text
	dtype: string
	- name: summary
	dtype: string
	- name: topic
	dtype: string
	- name: url
	dtype: string
	- name: title
	dtype: string
	- name: date
	dtype: string
	splits:
	- name: train
	num_bytes: 846959840
	num_examples: 220887
	- name: validation
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	num_examples: 11394
	- name: test
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	num_examples: 10701
	download_size: 1005814154
	dataset_size: 940926993
	- config_name: es
	features:
	- name: text
	dtype: string
	- name: summary
	dtype: string
	- name: topic
	dtype: string
	- name: url
	dtype: string
	- name: title
	dtype: string
	- name: date
	dtype: string
	splits:
	- name: train
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	num_examples: 266367
	- name: validation
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	num_examples: 10358
	- name: test
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	num_examples: 13920
	download_size: 1456211154
	dataset_size: 1336465367
	- config_name: fr
	features:
	- name: text
	dtype: string
	- name: summary
	dtype: string
	- name: topic
	dtype: string
	- name: url
	dtype: string
	- name: title
	dtype: string
	- name: date
	dtype: string
	splits:
	- name: train
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	num_examples: 392902
	- name: validation
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	num_examples: 16059
	- name: test
	num_bytes: 69660288
	num_examples: 15828
	download_size: 1849565564
	dataset_size: 1612038514
	- config_name: ru
	features:
	- name: text
	dtype: string
	- name: summary
	dtype: string
	- name: topic
	dtype: string
	- name: url
	dtype: string
	- name: title
	dtype: string
	- name: date
	dtype: string
	splits:
	- name: train
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	num_examples: 25556
	- name: validation
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	num_examples: 750
	- name: test
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	num_examples: 757
	download_size: 766226107
	dataset_size: 276174392
	- config_name: tu
	features:
	- name: text
	dtype: string
	- name: summary
	dtype: string
	- name: topic
	dtype: string
	- name: url
	dtype: string
	- name: title
	dtype: string
	- name: date
	dtype: string
	splits:
	- name: train
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	num_examples: 249277
	- name: validation
	num_bytes: 25530661
	num_examples: 11565
	- name: test
	num_bytes: 27830212
	num_examples: 12775
	download_size: 942308960
	dataset_size: 694983656
	config_names:
	- de
	- es
	- fr
	- ru
	- tu
	---

	# Dataset Card for MLSUM

	## 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: []()
	- Repository: https://github.com/recitalAI/MLSUM
	- Paper: https://www.aclweb.org/anthology/2020.emnlp-main.647/
	- Point of Contact: [email](thomas@recital.ai)
	- Size of downloaded dataset files: 1.83 GB
	- Size of the generated dataset: 4.86 GB
	- Total amount of disk used: 6.69 GB

	### Dataset Summary

	We present MLSUM, the first large-scale MultiLingual SUMmarization dataset.
	Obtained from online newspapers, it contains 1.5M+ article/summary pairs in five different languages -- namely, French, German, Spanish, Russian, Turkish.
	Together with English newspapers from the popular CNN/Daily mail dataset, the collected data form a large scale multilingual dataset which can enable new research directions for the text summarization community.
	We report cross-lingual comparative analyses based on state-of-the-art systems.
	These highlight existing biases which motivate the use of a multi-lingual dataset.

	### 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

	#### de

	- Size of downloaded dataset files: 346.58 MB
	- Size of the generated dataset: 940.93 MB
	- Total amount of disk used: 1.29 GB

	An example of 'validation' looks as follows.
	```
	{
	"date": "01/01/2001",
	"summary": "A text",
	"text": "This is a text",
	"title": "A sample",
	"topic": "football",
	"url": "https://www.google.com"
	}
	```

	#### es

	- Size of downloaded dataset files: 513.31 MB
	- Size of the generated dataset: 1.34 GB
	- Total amount of disk used: 1.85 GB

	An example of 'validation' looks as follows.
	```
	{
	"date": "01/01/2001",
	"summary": "A text",
	"text": "This is a text",
	"title": "A sample",
	"topic": "football",
	"url": "https://www.google.com"
	}
	```

	#### fr

	- Size of downloaded dataset files: 619.99 MB
	- Size of the generated dataset: 1.61 GB
	- Total amount of disk used: 2.23 GB

	An example of 'validation' looks as follows.
	```
	{
	"date": "01/01/2001",
	"summary": "A text",
	"text": "This is a text",
	"title": "A sample",
	"topic": "football",
	"url": "https://www.google.com"
	}
	```

	#### ru

	- Size of downloaded dataset files: 106.22 MB
	- Size of the generated dataset: 276.17 MB
	- Total amount of disk used: 382.39 MB

	An example of 'train' looks as follows.
	```
	{
	"date": "01/01/2001",
	"summary": "A text",
	"text": "This is a text",
	"title": "A sample",
	"topic": "football",
	"url": "https://www.google.com"
	}
	```

	#### tu

	- Size of downloaded dataset files: 247.50 MB
	- Size of the generated dataset: 694.99 MB
	- Total amount of disk used: 942.48 MB

	An example of 'train' looks as follows.
	```
	{
	"date": "01/01/2001",
	"summary": "A text",
	"text": "This is a text",
	"title": "A sample",
	"topic": "football",
	"url": "https://www.google.com"
	}
	```

	### Data Fields

	The data fields are the same among all splits.

	#### de
	- `text`: a `string` feature.
	- `summary`: a `string` feature.
	- `topic`: a `string` feature.
	- `url`: a `string` feature.
	- `title`: a `string` feature.
	- `date`: a `string` feature.

	#### es
	- `text`: a `string` feature.
	- `summary`: a `string` feature.
	- `topic`: a `string` feature.
	- `url`: a `string` feature.
	- `title`: a `string` feature.
	- `date`: a `string` feature.

	#### fr
	- `text`: a `string` feature.
	- `summary`: a `string` feature.
	- `topic`: a `string` feature.
	- `url`: a `string` feature.
	- `title`: a `string` feature.
	- `date`: a `string` feature.

	#### ru
	- `text`: a `string` feature.
	- `summary`: a `string` feature.
	- `topic`: a `string` feature.
	- `url`: a `string` feature.
	- `title`: a `string` feature.
	- `date`: a `string` feature.

	#### tu
	- `text`: a `string` feature.
	- `summary`: a `string` feature.
	- `topic`: a `string` feature.
	- `url`: a `string` feature.
	- `title`: a `string` feature.
	- `date`: a `string` feature.

	### Data Splits

	\|name\|train \|validation\|test \|
	\|----\|-----:\|---------:\|----:\|
	\|de \|220887\| 11394\|10701\|
	\|es \|266367\| 10358\|13920\|
	\|fr \|392902\| 16059\|15828\|
	\|ru \| 25556\| 750\| 757\|
	\|tu \|249277\| 11565\|12775\|

	## 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

	Usage of dataset is restricted to non-commercial research purposes only. Copyright belongs to the original copyright holders. See https://github.com/recitalAI/MLSUM#mlsum

	### Citation Information

	```
	@article{scialom2020mlsum,
	title={MLSUM: The Multilingual Summarization Corpus},
	author={Scialom, Thomas and Dray, Paul-Alexis and Lamprier, Sylvain and Piwowarski, Benjamin and Staiano, Jacopo},
	journal={arXiv preprint arXiv:2004.14900},
	year={2020}
	}

	```


	### Contributions

	Thanks to [@RachelKer](https://github.com/RachelKer), [@albertvillanova](https://github.com/albertvillanova), [@thomwolf](https://github.com/thomwolf) for adding this dataset.