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--- |
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annotations_creators: |
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- found |
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language_creators: |
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- found |
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languages: |
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- de |
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- es |
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- fr |
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- ru |
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- tr |
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licenses: |
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- other-research-only |
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multilinguality: |
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- multilingual |
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size_categories: |
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de: |
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- 100K<n<1M |
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es: |
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- 100K<n<1M |
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fr: |
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- 100K<n<1M |
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ru: |
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- 10K<n<100K |
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tu: |
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- 100K<n<1M |
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source_datasets: |
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- extended|cnn_dailymail |
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- original |
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task_categories: |
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- conditional-text-generation |
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- text-classification |
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task_ids: |
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- machine-translation |
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- multi-class-classification |
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- multi-label-classification |
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- summarization |
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- topic-classification |
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paperswithcode_id: mlsum |
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pretty_name: MLSUM |
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--- |
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# Dataset Card for MLSUM |
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## Table of Contents |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
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- [Languages](#languages) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-fields) |
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- [Data Splits](#data-splits) |
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- [Dataset Creation](#dataset-creation) |
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- [Curation Rationale](#curation-rationale) |
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- [Source Data](#source-data) |
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- [Annotations](#annotations) |
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- [Personal and Sensitive Information](#personal-and-sensitive-information) |
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- [Considerations for Using the Data](#considerations-for-using-the-data) |
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- [Social Impact of Dataset](#social-impact-of-dataset) |
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- [Discussion of Biases](#discussion-of-biases) |
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- [Other Known Limitations](#other-known-limitations) |
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- [Additional Information](#additional-information) |
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- [Dataset Curators](#dataset-curators) |
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- [Licensing Information](#licensing-information) |
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- [Citation Information](#citation-information) |
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- [Contributions](#contributions) |
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## Dataset Description |
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- **Homepage:** []() |
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- **Repository:** https://github.com/recitalAI/MLSUM |
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- **Paper:** https://www.aclweb.org/anthology/2020.emnlp-main.647/ |
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- **Point of Contact:** [email](thomas@recital.ai) |
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- **Size of downloaded dataset files:** 1748.64 MB |
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- **Size of the generated dataset:** 4635.42 MB |
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- **Total amount of disk used:** 6384.06 MB |
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### Dataset Summary |
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We present MLSUM, the first large-scale MultiLingual SUMmarization dataset. |
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Obtained from online newspapers, it contains 1.5M+ article/summary pairs in five different languages -- namely, French, German, Spanish, Russian, Turkish. |
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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. |
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We report cross-lingual comparative analyses based on state-of-the-art systems. |
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These highlight existing biases which motivate the use of a multi-lingual dataset. |
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### Supported Tasks and Leaderboards |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Languages |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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## Dataset Structure |
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We show detailed information for up to 5 configurations of the dataset. |
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### Data Instances |
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#### de |
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- **Size of downloaded dataset files:** 330.52 MB |
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- **Size of the generated dataset:** 897.34 MB |
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- **Total amount of disk used:** 1227.86 MB |
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An example of 'validation' looks as follows. |
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``` |
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{ |
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"date": "01/01/2001", |
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"summary": "A text", |
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"text": "This is a text", |
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"title": "A sample", |
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"topic": "football", |
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"url": "https://www.google.com" |
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} |
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``` |
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#### es |
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- **Size of downloaded dataset files:** 489.53 MB |
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- **Size of the generated dataset:** 1274.55 MB |
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- **Total amount of disk used:** 1764.09 MB |
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An example of 'validation' looks as follows. |
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``` |
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{ |
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"date": "01/01/2001", |
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"summary": "A text", |
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"text": "This is a text", |
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"title": "A sample", |
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"topic": "football", |
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"url": "https://www.google.com" |
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} |
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``` |
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#### fr |
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- **Size of downloaded dataset files:** 591.27 MB |
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- **Size of the generated dataset:** 1537.36 MB |
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- **Total amount of disk used:** 2128.63 MB |
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|
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An example of 'validation' looks as follows. |
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``` |
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{ |
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"date": "01/01/2001", |
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"summary": "A text", |
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"text": "This is a text", |
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"title": "A sample", |
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"topic": "football", |
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"url": "https://www.google.com" |
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} |
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``` |
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#### ru |
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- **Size of downloaded dataset files:** 101.30 MB |
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- **Size of the generated dataset:** 263.38 MB |
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- **Total amount of disk used:** 364.68 MB |
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|
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An example of 'train' looks as follows. |
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``` |
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{ |
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"date": "01/01/2001", |
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"summary": "A text", |
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"text": "This is a text", |
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"title": "A sample", |
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"topic": "football", |
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"url": "https://www.google.com" |
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} |
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``` |
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#### tu |
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- **Size of downloaded dataset files:** 236.03 MB |
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- **Size of the generated dataset:** 662.79 MB |
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- **Total amount of disk used:** 898.82 MB |
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An example of 'train' looks as follows. |
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``` |
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{ |
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"date": "01/01/2001", |
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"summary": "A text", |
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"text": "This is a text", |
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"title": "A sample", |
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"topic": "football", |
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"url": "https://www.google.com" |
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} |
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``` |
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### Data Fields |
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The data fields are the same among all splits. |
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#### de |
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- `text`: a `string` feature. |
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- `summary`: a `string` feature. |
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- `topic`: a `string` feature. |
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- `url`: a `string` feature. |
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- `title`: a `string` feature. |
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- `date`: a `string` feature. |
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#### es |
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- `text`: a `string` feature. |
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- `summary`: a `string` feature. |
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- `topic`: a `string` feature. |
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- `url`: a `string` feature. |
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- `title`: a `string` feature. |
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- `date`: a `string` feature. |
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#### fr |
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- `text`: a `string` feature. |
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- `summary`: a `string` feature. |
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- `topic`: a `string` feature. |
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- `url`: a `string` feature. |
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- `title`: a `string` feature. |
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- `date`: a `string` feature. |
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#### ru |
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- `text`: a `string` feature. |
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- `summary`: a `string` feature. |
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- `topic`: a `string` feature. |
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- `url`: a `string` feature. |
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- `title`: a `string` feature. |
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- `date`: a `string` feature. |
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#### tu |
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- `text`: a `string` feature. |
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- `summary`: a `string` feature. |
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- `topic`: a `string` feature. |
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- `url`: a `string` feature. |
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- `title`: a `string` feature. |
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- `date`: a `string` feature. |
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### Data Splits |
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|
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|name|train |validation|test | |
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|----|-----:|---------:|----:| |
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|de |220887| 11394|10701| |
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|es |266367| 10358|13920| |
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|fr |392902| 16059|15828| |
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|ru | 25556| 750| 757| |
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|tu |249277| 11565|12775| |
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## Dataset Creation |
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|
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### Curation Rationale |
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|
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Source Data |
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#### Initial Data Collection and Normalization |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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#### Who are the source language producers? |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Annotations |
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#### Annotation process |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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#### Who are the annotators? |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Personal and Sensitive Information |
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|
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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## Considerations for Using the Data |
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|
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### Social Impact of Dataset |
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|
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Discussion of Biases |
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|
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Other Known Limitations |
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|
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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## Additional Information |
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### Dataset Curators |
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|
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Licensing Information |
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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 |
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### Citation Information |
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``` |
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@article{scialom2020mlsum, |
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title={MLSUM: The Multilingual Summarization Corpus}, |
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author={Scialom, Thomas and Dray, Paul-Alexis and Lamprier, Sylvain and Piwowarski, Benjamin and Staiano, Jacopo}, |
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journal={arXiv preprint arXiv:2004.14900}, |
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year={2020} |
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} |
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``` |
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### Contributions |
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Thanks to [@RachelKer](https://github.com/RachelKer), [@albertvillanova](https://github.com/albertvillanova), [@thomwolf](https://github.com/thomwolf) for adding this dataset. |
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