task_categories:summarization task_categories:translation task_categories:text-classification task_ids:news-articles-summarization task_ids:multi-class-classification task_ids:multi-label-classification task_ids:topic-classification annotations_creators:found language_creators:found multilinguality:multilingual size_categories:100K<n<1M size_categories:10K<n<100K source_datasets:extended|cnn_dailymail source_datasets:original language:de language:es language:fr language:ru language:tr license:other region:us
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.
@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}
}
---
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
    num_bytes: 47119541
    num_examples: 11394
  - name: test
    num_bytes: 46847612
    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
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  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
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    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.