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joelniklaus/mc4_legal

Dataset Card for MC4_Legal: A Corpus Covering the Legal Part of MC4 for European Languages 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… See the full description on the dataset page: https://huggingface.co/datasets/joelniklaus/mc4_legal.

sourceHugging Facecc-by-4.0updated 4y agoView on Hugging Face
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Dataset Card

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

Table of Contents

Dataset Description

  • —Homepage:
  • —Repository: GitHub
  • —Paper:
  • —Leaderboard:
  • —Point of Contact: Joel Niklaus

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:

python
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").

SourceSize (MB)WordsDocumentsWords/Document
all4489802859930052198732882896
bg5723903493796306
cs3100518408273756777962715
da1621046671632313239
de105739618457878431644611954
el3011559773073765
en137349665393093592832690
es132053905893980422818883969
et2059110198368499872204
fi127062799074448751399
fr3087821173062295989833534
ga13277284096
hu4677244911748588574161
it4695730539207799908233082
lt156914222315295979
lv158702163668
mt6534798697314760
nl3262196263368753194
pl3795022358397218276412701
pt2012013381478283821733501
ro88165513725101365134038
sk58503492651721307012672
sl1742107493024325743299
sv53323284715551236572656

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.