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
- Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
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 four 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: text_type -> language -> jurisdiction.jsonl.xz
text_type is one of the following:
- caselaw
- contracts
- legislation
- other
The dataset can be used in the following way:
from datasets import load_dataset
config = 'en_contracts'
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 (564GB) consists of four large subsets:
- Native Multi Legal Pile (30GB)
- Eurlex Resources (179GB)
- MC4 Legal (133GB)
- Pile of Law (222GB)
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 | ||
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 | 29759 | 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.
For simplicity and with respect to balancing off data across different jurisdictions and languages, we disregard many US resources that are either very specialized (e.g., tax rulings), outdated/historical (e.g., founding letters), very small (less than 20MB), not legal language in the strict sense (conversations), or the information overlaps with other sources (study materials). If you are interested in a US-based (US-biased) model, refer to the "Pile of (US) Law" by Henderson et al. (2022). Analyses are put into the "other" category because in mc4_legal we also likely have similar text.
Language | Type | Jurisdiction | Source | Size (MB) | Tokens | Documents | Tokens/Document |
---|---|---|---|---|---|---|---|
en | legislation | US | fre | 2 | 173325 | 68 | 2548 |
en | other | ?US | bar_exam_outlines | 4 | 346924 | 59 | 5880 |
en | contracts | ? | tos | 4 | 391890 | 50 | 7837 |
en | other | ?US | ftc_advisory_opinions | 4 | 509025 | 145 | 3510 |
en | legislation | US | frcp | 4 | 427614 | 92 | 4647 |
en | legislation | US | eoir | 62 | 6109737 | 2229 | 2741 |
en | legislation | nan | constitutions | 66 | 5984865 | 187 | 32004 |
en | other | US | olc_memos | 98 | 12764635 | 1384 | 9223 |
en | contracts | US | cfpb_creditcard_contracts | 188 | 25984824 | 2638 | 9850 |
en | other | ?US | cc_casebooks | 258 | 24857378 | 73 | 340512 |
en | caselaw | EU | echr | 298 | 28374996 | 8480 | 3346 |
en | other | -- | un_debates | 360 | 31152497 | 8481 | 3673 |
en | legislation | US | federal_register | 424 | 39854787 | 5414 | 7361 |
en | caselaw | Canada | canadian_decisions | 486 | 45438083 | 11343 | 4005 |
en | legislation | US | uscode | 716 | 78466325 | 58 | 1352867 |
en | other | -- | r_legaladvice | 798 | 72605386 | 146671 | 495 |
en | ?caselaw | EU | euro_parl | 808 | 71344326 | 9672 | 7376 |
en | ?legislation | US | dol_ecab | 942 | 99113541 | 28211 | 3513 |
en | caselaw | US | scotus_oral_arguments | 1092 | 108228951 | 7996 | 13535 |
en | other | US | founding_docs | 1118 | 100390231 | 183664 | 546 |
en | caselaw | US | tax_rulings | 1704 | 166915887 | 54064 | 3087 |
en | legislation | US | cfr | 1788 | 160849007 | 243 | 661930 |
en | caselaw | US | nlrb_decisions | 2652 | 294471818 | 32080 | 9179 |
en | legislation | US | us_bills | 3394 | 320723838 | 112483 | 2851 |
en | legislation | EU | eurlex | 3504 | 401324829 | 142036 | 2825 |
en | caselaw | US | scotus_filings | 4018 | 593870413 | 63775 | 9311 |
en | other | US | oig | 5056 | 566782244 | 38954 | 14550 |
en | other | US | congressional_hearings | 16448 | 1801110892 | 31514 | 57152 |
en | legislation | US | state_codes | 18066 | 1858333235 | 217 | 8563747 |
en | contracts | US | edgar | 28698 | 2936402810 | 987926 | 2972 |
en | ?other | US | bva_opinions | 35238 | 4084140080 | 839523 | 4864 |
en | contracts | US | atticus_contracts | 78300 | 7997013703 | 650833 | 12287 |
en | ?caselaw | US | courtlistener_docket_entry_documents | 139006 | 12713614864 | 1983436 | 6409 |
en | ?caselaw | US | courtlistener_opinions | 158110 | 15899704961 | 4518445 | 3518 |
en | all | all | all | 503712 | 50547777921 | 9872444 | 5120 |
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.