reciTAL/mlsum
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资源简介：
---
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
dtype: string
splits:
- name: train
num_bytes: 1214558302
num_examples: 266367
- name: validation
num_bytes: 50643400
num_examples: 10358
- name: test
num_bytes: 71263665
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
num_bytes: 1471965014
num_examples: 392902
- name: validation
num_bytes: 70413212
num_examples: 16059
- name: test
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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
num_bytes: 641622783
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.
提供机构：
reciTAL
原始信息汇总
数据集概述
基本信息
- 数据集名称: MLSUM
- 语言: 德语（de）、西班牙语（es）、法语（fr）、俄语（ru）、土耳其语（tu）
- 许可证: 其他（仅限非商业研究用途）
- 多语言性: 多语言
- 数据集大小分类: 100K<n<1M, 10K<n<100K
- 源数据集: 扩展自cnn_dailymail，原始数据
- 任务类别: 摘要生成、翻译、文本分类
- 任务ID: 新闻文章摘要、多类别分类、多标签分类、主题分类
- 论文ID: mlsum
数据集结构
数据实例
每个语言配置包含以下字段：
text: 文章正文summary: 文章摘要topic: 文章主题url: 文章链接title: 文章标题date: 文章日期
数据分割
每个语言配置包含以下数据分割：
train: 训练集validation: 验证集test: 测试集
具体数据分割信息
| 语言 | 训练集样本数 | 验证集样本数 | 测试集样本数 |
|---|---|---|---|
| de | 220887 | 11394 | 10701 |
| es | 266367 | 10358 | 13920 |
| fr | 392902 | 16059 | 15828 |
| ru | 25556 | 750 | 757 |
| tu | 249277 | 11565 | 12775 |
数据字段
所有语言配置的数据字段相同，包括：
text: 字符串类型summary: 字符串类型topic: 字符串类型url: 字符串类型title: 字符串类型date: 字符串类型
数据集创建
数据集摘要
MLSUM 是一个大规模多语言摘要数据集，包含超过150万篇文章和摘要对，涵盖五种不同语言：法语、德语、西班牙语、俄语和土耳其语。该数据集与英语的CNN/Daily Mail数据集一起，形成了一个大规模的多语言数据集，为文本摘要领域的研究提供了新的方向。
数据集大小
- 下载大小: 1.83 GB
- 生成数据集大小: 4.86 GB
- 总磁盘使用量: 6.69 GB
数据集配置
- de: 下载大小 346.58 MB, 生成数据集大小 940.93 MB, 总磁盘使用量 1.29 GB
- es: 下载大小 513.31 MB, 生成数据集大小 1.34 GB, 总磁盘使用量 1.85 GB
- fr: 下载大小 619.99 MB, 生成数据集大小 1.61 GB, 总磁盘使用量 2.23 GB
- ru: 下载大小 106.22 MB, 生成数据集大小 276.17 MB, 总磁盘使用量 382.39 MB
- tu: 下载大小 247.50 MB, 生成数据集大小 694.99 MB, 总磁盘使用量 942.48 MB
引用信息
@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} }
