Error code:   ConfigNamesError
Exception:    RuntimeError
Message:      Dataset scripts are no longer supported, but found mlsum.py
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
                  config_names = get_dataset_config_names(
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                                   ^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1031, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 989, in dataset_module_factory
                  raise RuntimeError(f"Dataset scripts are no longer supported, but found {filename}")
              RuntimeError: Dataset scripts are no longer supported, but found mlsum.py

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Dataset Card for MLSUM

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

Languages

More Information Needed

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

Source Data

Initial Data Collection and Normalization

More Information Needed

Who are the source language producers?

More Information Needed

Annotations

Considerations for Using the Data

Social Impact of Dataset

More Information Needed

Discussion of Biases

More Information Needed

Other Known Limitations

More Information Needed

Additional Information

Dataset Curators

More Information Needed

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}
}