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Datasets:
joelniklaus
/
mc4_legal

Tasks:
Fill-Mask
Languages:
Bulgarian
Czech
Danish
Multilinguality:
multilingual
Size Categories:
10M<n<100M
Language Creators:
found
Annotations Creators:
other
Source Datasets:
original
Tags:
License:
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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.

Use the dataset like this:

from datasets import load_dataset
dataset = load_dataset("joelito/mc4_legal", "de", split='train', streaming=True)

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) Words Documents Words/Document
all 448980 28599300521 9873288 2896
bg 57 2390349 379 6306
cs 31005 1840827375 677796 2715
da 162 10466716 3231 3239
de 105739 6184578784 3164461 1954
el 30 1155977 307 3765
en 13734 966539309 359283 2690
es 132053 9058939804 2281888 3969
et 2059 110198368 49987 2204
fi 1270 62799074 44875 1399
fr 30878 2117306229 598983 3534
ga 1 32772 8 4096
hu 4677 244911748 58857 4161
it 46957 3053920779 990823 3082
lt 156 9142223 1529 5979
lv 1 58702 16 3668
mt 65 3479869 731 4760
nl 326 21962633 6875 3194
pl 37950 2235839721 827641 2701
pt 20120 1338147828 382173 3501
ro 8816 551372510 136513 4038
sk 5850 349265172 130701 2672
sl 1742 107493024 32574 3299
sv 5332 328471555 123657 2656

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.