mc4_legal / README.md
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metadata
annotations_creators:
  - other
language_creators:
  - found
language:
  - bg
  - cs
  - da
  - de
  - el
  - en
  - es
  - et
  - fi
  - fr
  - ga
  - hu
  - it
  - lt
  - lv
  - mt
  - nl
  - pl
  - pt
  - ro
  - sk
  - sl
  - sv
license:
  - cc-by-4.0
multilinguality:
  - multilingual
paperswithcode_id: null
pretty_name: 'MC4_Legal: A Corpus Covering the Legal Part of MC4 for European Languages'
size_categories:
  - 10M<n<100M
source_datasets:
  - original
task_categories:
  - fill-mask

Dataset Card for MC4_Legal: A Corpus Covering the Legal Part of MC4 for European Languages

Table of Contents

Dataset Description

Dataset Summary

This dataset contains large text resources (~133GB in total) from mc4 filtered for legal data that can be used for pretraining language models.

Supported Tasks and Leaderboards

The dataset supports the task of masked language modeling.

Languages

The following languages are supported: bg, cs, da, de, el, en, es, et, fi, fr, ga, hu, it, lt, lv, mt, nl, pl, pt, ro, sk, sl, sv

Dataset Structure

Data Instances

The file format is jsonl.xz and there is one split available ("train").

Source Size (MB) Tokens Documents Words/Document
bg 13.9 xxx xxx xxx
cs 7252.4 xxx xxx xxx
da 37.7 xxx xxx xxx
de 27651.3 xxx xxx xxx
el 69.2 xxx xxx xxx
en 22043.9 xxx xxx xxx
es 21410.2 xxx xxx xxx
et 552.7 xxx xxx xxx
fi 8074.0 xxx xxx xxx
fr 10974.1 xxx xxx xxx
ga 3.5 xxx xxx xxx
hu 1450.0 xxx xxx xxx
it 12368.6 xxx xxx xxx
lt 175.9 xxx xxx xxx
lv 0.3 xxx xxx xxx
mt 227.7 xxx xxx xxx
nl 82.9 xxx xxx xxx
pl 10008.0 xxx xxx xxx
pt 4799.3 xxx xxx xxx
ro 2124.3 xxx xxx xxx
sk 1388.5 xxx xxx xxx
sl 404.6 xxx xxx xxx
sv 1888.1 xxx xxx xxx
total 133001.1 xxx xxx xxx

Data Fields

[More Information Needed]

Data Splits

[More Information Needed]

Dataset Creation

The dataset was created by filtering mc4 for legal data. We used terms indicating legal citations to get the texts. Note that this dataset can be quite noisy, and the quality is not known.

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

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

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

[More Information Needed]

Citation Information

[More Information Needed]

Contributions

Thanks to @JoelNiklaus for adding this dataset.