|
--- |
|
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 |
|
configs: |
|
- de |
|
- es |
|
- fr |
|
- ru |
|
- tu |
|
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: test |
|
num_bytes: 46847612 |
|
num_examples: 10701 |
|
- name: train |
|
num_bytes: 846959840 |
|
num_examples: 220887 |
|
- name: validation |
|
num_bytes: 47119541 |
|
num_examples: 11394 |
|
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: test |
|
num_bytes: 71263665 |
|
num_examples: 13920 |
|
- name: train |
|
num_bytes: 1214558302 |
|
num_examples: 266367 |
|
- name: validation |
|
num_bytes: 50643400 |
|
num_examples: 10358 |
|
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: test |
|
num_bytes: 69660288 |
|
num_examples: 15828 |
|
- name: train |
|
num_bytes: 1471965014 |
|
num_examples: 392902 |
|
- name: validation |
|
num_bytes: 70413212 |
|
num_examples: 16059 |
|
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: test |
|
num_bytes: 9656398 |
|
num_examples: 757 |
|
- name: train |
|
num_bytes: 257389497 |
|
num_examples: 25556 |
|
- name: validation |
|
num_bytes: 9128497 |
|
num_examples: 750 |
|
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: test |
|
num_bytes: 27830212 |
|
num_examples: 12775 |
|
- name: train |
|
num_bytes: 641622783 |
|
num_examples: 249277 |
|
- name: validation |
|
num_bytes: 25530661 |
|
num_examples: 11565 |
|
download_size: 942308960 |
|
dataset_size: 694983656 |
|
--- |
|
|
|
# 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]([email protected]) |
|
- **Size of downloaded dataset files:** 1748.64 MB |
|
- **Size of the generated dataset:** 4635.42 MB |
|
- **Total amount of disk used:** 6384.06 MB |
|
|
|
### 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:** 330.52 MB |
|
- **Size of the generated dataset:** 897.34 MB |
|
- **Total amount of disk used:** 1227.86 MB |
|
|
|
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:** 489.53 MB |
|
- **Size of the generated dataset:** 1274.55 MB |
|
- **Total amount of disk used:** 1764.09 MB |
|
|
|
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:** 591.27 MB |
|
- **Size of the generated dataset:** 1537.36 MB |
|
- **Total amount of disk used:** 2128.63 MB |
|
|
|
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:** 101.30 MB |
|
- **Size of the generated dataset:** 263.38 MB |
|
- **Total amount of disk used:** 364.68 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:** 236.03 MB |
|
- **Size of the generated dataset:** 662.79 MB |
|
- **Total amount of disk used:** 898.82 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. |