
albertvillanova
HF Staff
Convert dataset sizes from base 2 to base 10 in the dataset card (#5)
60682d3
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: 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 | |
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 | |
num_bytes: 257389497 | |
num_examples: 25556 | |
- name: validation | |
num_bytes: 9128497 | |
num_examples: 750 | |
- name: test | |
num_bytes: 9656398 | |
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 | |
# 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:** 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. |