Multi_Legal_Pile / README.md
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added large brazilian caselaw dataset
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metadata
annotations_creators:
  - other
language_creators:
  - found
language:
  - bg
  - cs
  - da
  - de
  - el
  - en
  - es
  - et
  - fi
  - fr
  - ga
  - hr
  - hu
  - it
  - lt
  - lv
  - mt
  - nl
  - pl
  - pt
  - ro
  - sk
  - sl
  - sv
license:
  - cc-by-4.0
multilinguality:
  - multilingual
paperswithcode_id: null
pretty_name: 'MultiLegalPile: A Large-Scale Multilingual Corpus for the Legal Domain'
size_categories:
  - 10M<n<100M
source_datasets:
  - original
task_categories:
  - fill-mask

Dataset Card for MultiLegalPile: A Large-Scale Multilingual Corpus for the Legal Domain

Table of Contents

Dataset Description

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

Dataset Summary

The Multi_Legal_Pile is a large-scale multilingual legal dataset suited for pretraining language models. It spans over 24 languages and five legal text types.

Supported Tasks and Leaderboards

The dataset supports the tasks of fill-mask.

Languages

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

Dataset Structure

It is structured in the following format: type -> language -> jurisdiction.jsonl.xz

type is one of the following:

  • caselaw
  • contracts
  • legislation
  • other
  • mc4_legal

mc4_legal is a subset of the other type but is listed separately so it can be easily excluded since it is less permissively licensed than the other types.

Use the dataset like this:

from datasets import load_dataset

config = 'en_contracts'  # {language}_{type}
dataset = load_dataset('joelito/Multi_Legal_Pile', config, split='train', streaming=True)

'config' is a combination of language and text_type, e.g. 'en_contracts' or 'de_caselaw'. To load all the languages or all the text_types, use 'all' instead of the language or text_type (e.g., ' all_legislation').

Data Instances

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

The complete dataset (716GB) consists of four large subsets:

  • Native Multi Legal Pile (112GB)
  • Eurlex Resources (179GB)
  • MC4 Legal (133GB)
  • Pile of Law (292GB)

Native Multilingual Legal Pile data

Language Text Type Jurisdiction Source Size (MB) Tokens Documents Words/Document URL License
bg legislation Bulgaria MARCELL 588 xxx xxx xxx
cs caselaw Czechia CzCDC Constitutional Court 713 xxx xxx xxx
cs caselaw Czechia CzCDC Supreme Administrative Court 1248 xxx xxx xxx
cs caselaw Czechia CzCDC Supreme Court 1566 xxx xxx xxx
da caselaw Denmark DDSC 205 xxx xxx xxx
da legislation Denmark DDSC 1464 xxx xxx xxx
de caselaw Germany openlegaldata 4310 xxx xxx xxx
de caselaw Switzerland entscheidsuche 6937 xxx xxx xxx
de legislation Germany openlegaldata 96 xxx xxx xxx
de legislation Switzerland lexfind 299 xxx xxx xxx
en legislation Switzerland lexfind 9 xxx xxx xxx
en legislation UK uk-lex 262 xxx xxx xxx
fr caselaw Belgium jurportal 104 xxx xxx xxx
fr caselaw France CASS 266 xxx xxx xxx
fr caselaw Luxembourg judoc 277 xxx xxx xxx
fr caselaw Switzerland entscheidsuche 5100 xxx xxx xxx
fr legislation Switzerland lexfind 219 xxx xxx xxx
fr legislation Belgium ejustice 178 xxx xxx xxx
hu legislation Hungary MARCELL 239 xxx xxx xxx
it caselaw Switzerland entscheidsuche 1274 xxx xxx xxx
it legislation Switzerland lexfind 141 xxx xxx xxx
nl legislation Belgium ejustice 178 xxx xxx xxx
pl legislation Poland MARCELL 264 xxx xxx xxx
pt caselaw Brazil RulingBR 173 xxx xxx xxx
pt caselaw Brazil CRETA 19000 xxx xxx xxx
pt caselaw Brazil CJPG 63480 xxx xxx xxx
ro legislation Romania MARCELL 2704 xxx xxx xxx
sk legislation Slovakia MARCELL 192 xxx xxx xxx
sl legislation Slovenia MARCELL 753 xxx xxx xxx
total all all all 112239 xxx xxx xxx

Eurlex Resources

See Eurlex Resources for more information.

MC4 Legal

See MC4 Legal for more information.

Pile-of-Law

See Pile-of-Law for more information.

Language Type Jurisdiction Source Size (MB) Tokens Documents Tokens/Document Part of Multi_Legal_Pile
en all all all 503712 50547777921 9872444 5120 yes
en caselaw EU echr 298 28374996 8480 3346 yes
en caselaw Canada canadian_decisions 486 45438083 11343 4005 yes
en caselaw US dol_ecab 942 99113541 28211 3513 no
en caselaw US scotus_oral_arguments 1092 108228951 7996 13535 no
en caselaw US tax_rulings 1704 166915887 54064 3087 no
en caselaw US nlrb_decisions 2652 294471818 32080 9179 no
en caselaw US scotus_filings 4018 593870413 63775 9311 yes
en caselaw US bva_opinions 35238 4084140080 839523 4864 no
en caselaw US courtlistener_docket_entry_documents 139006 12713614864 1983436 6409 yes
en caselaw US courtlistener_opinions 158110 15899704961 4518445 3518 yes
en contracts -- tos 4 391890 50 7837 no
en contracts US cfpb_creditcard_contracts 188 25984824 2638 9850 yes
en contracts US edgar 28698 2936402810 987926 2972 yes
en contracts US atticus_contracts 78300 7997013703 650833 12287 yes
en legislation US fre 2 173325 68 2548 no
en legislation US frcp 4 427614 92 4647 no
en legislation US eoir 62 6109737 2229 2741 no
en legislation -- constitutions 66 5984865 187 32004 yes
en legislation US federal_register 424 39854787 5414 7361 yes
en legislation US uscode 716 78466325 58 1352867 yes
en legislation EU euro_parl 808 71344326 9672 7376 no
en legislation US cfr 1788 160849007 243 661930 yes
en legislation US us_bills 3394 320723838 112483 2851 yes
en legislation EU eurlex 3504 401324829 142036 2825 no
en legislation US state_codes 18066 1858333235 217 8563747 yes
en other -- bar_exam_outlines 4 346924 59 5880 no
en other US ftc_advisory_opinions 4 509025 145 3510 no
en other US olc_memos 98 12764635 1384 9223 yes
en other -- cc_casebooks 258 24857378 73 340512 no
en other -- un_debates 360 31152497 8481 3673 no
en other -- r_legaladvice 798 72605386 146671 495 no
en other US founding_docs 1118 100390231 183664 546 no
en other US oig 5056 566782244 38954 14550 yes
en other US congressional_hearings 16448 1801110892 31514 57152 no

Data Fields

[More Information Needed]

Data Splits

[More Information Needed]

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

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

TODO add citation

Contributions

Thanks to @JoelNiklaus for adding this dataset.