
# 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.
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
{"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", "config_names": ["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}]}
TAGS
#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-German #language-Spanish #language-French #language-Russian #language-Turkish #license-other #region-us 

Dataset Card for MLSUM
======================


Table of Contents
-----------------


* Dataset Description
	+ Dataset Summary
	+ Supported Tasks and Leaderboards
	+ Languages
* Dataset Structure
	+ Data Instances
	+ Data Fields
	+ Data Splits
* Dataset Creation
	+ Curation Rationale
	+ Source Data
	+ Annotations
	+ Personal and Sensitive Information
* Considerations for Using the Data
	+ Social Impact of Dataset
	+ Discussion of Biases
	+ Other Known Limitations
* Additional Information
	+ Dataset Curators
	+ Licensing Information
	+ Citation Information
	+ Contributions


Dataset Description
-------------------


* Homepage:
* Repository: URL
* Paper: URL
* Point of Contact: email
* 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


### Languages


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.


#### 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.


#### 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.


#### 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.


#### 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.


### 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



Dataset Creation
----------------


### Curation Rationale


### Source Data


#### Initial Data Collection and Normalization


#### Who are the source language producers?


### Annotations


#### Annotation process


#### Who are the annotators?


### Personal and Sensitive Information


Considerations for Using the Data
---------------------------------


### Social Impact of Dataset


### Discussion of Biases


### Other Known Limitations


Additional Information
----------------------


### Dataset Curators


### Licensing Information


Usage of dataset is restricted to non-commercial research purposes only. Copyright belongs to the original copyright holders. See URL


### Contributions


Thanks to @RachelKer, @albertvillanova, @thomwolf for adding this dataset.



### 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 ### Languages


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. #### 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. #### 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. #### 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. #### 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. ### 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



Dataset Creation
---------------- ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information


Considerations for Using the Data
--------------------------------- ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations


Additional Information
---------------------- ### Dataset Curators ### Licensing Information


Usage of dataset is restricted to non-commercial research purposes only. Copyright belongs to the original copyright holders. See URL ### Contributions


Thanks to @RachelKer, @albertvillanova, @thomwolf for adding this dataset.
TAGS
#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-German #language-Spanish #language-French #language-Russian #language-Turkish #license-other #region-us 
 ### 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 ### Languages


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. #### 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. #### 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. #### 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. #### 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. ### 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



Dataset Creation
---------------- ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information


Considerations for Using the Data
--------------------------------- ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations


Additional Information
---------------------- ### Dataset Curators ### Licensing Information


Usage of dataset is restricted to non-commercial research purposes only. Copyright belongs to the original copyright holders. See URL ### Contributions


Thanks to @RachelKer, @albertvillanova, @thomwolf for adding this dataset.
passage: TAGS
#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-German #language-Spanish #language-French #language-Russian #language-Turkish #license-other #region-us 
### 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### Languages


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.#### 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. passage: #### 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.#### 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.#### 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.### 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



Dataset Creation
----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization