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Rickkk23
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legal
Rickkk23 eduagarcia commited on
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4e6028e
·
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Duplicate from eduagarcia/LegalPT

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Co-authored-by: Eduardo Garcia <eduagarcia@users.noreply.huggingface.co>

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+ ---
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+ language:
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+ - pt
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+ data_files:
450
+ - split: train
451
+ path: mlp_pt_eurlex-caselaw/train-*
452
+ - config_name: mlp_pt_eurlex-contracts
453
+ data_files:
454
+ - split: train
455
+ path: mlp_pt_eurlex-contracts/train-*
456
+ - config_name: mlp_pt_eurlex-legislation
457
+ data_files:
458
+ - split: train
459
+ path: mlp_pt_eurlex-legislation/train-*
460
+ - config_name: mlp_pt_legal-mc4
461
+ data_files:
462
+ - split: train
463
+ path: mlp_pt_legal-mc4/train-*
464
+ - config_name: parlamento-pt
465
+ data_files:
466
+ - split: train
467
+ path: parlamento-pt/train-*
468
+ - config_name: tesemo_v2
469
+ data_files:
470
+ - split: train
471
+ path: tesemo_v2/train-*
472
+ ---
473
+ # LegalPT
474
+
475
+ LegalPT aggregates the maximum amount of publicly available legal data in Portuguese, drawing from varied sources including legislation, jurisprudence, legal articles, and government documents.
476
+
477
+ This is the raw version. Deduplicated version is available [here](https://huggingface.co/datasets/eduagarcia/LegalPT_dedup).
478
+
479
+ ## Dataset Details
480
+
481
+ Dataset is composed by six corpora:
482
+ [Ulysses-Tesemõ](https://github.com/ulysses-camara/ulysses-tesemo), [MultiLegalPile (PT)](https://arxiv.org/abs/2306.02069v2), [ParlamentoPT](http://arxiv.org/abs/2305.06721),
483
+ [Iudicium Textum](https://www.inf.ufpr.br/didonet/articles/2019_dsw_Iudicium_Textum_Dataset.pdf), [Acordãos TCU](https://link.springer.com/chapter/10.1007/978-3-030-61377-8_46), and
484
+ [DataSTF](https://legalhackersnatal.wordpress.com/2019/05/09/mais-dados-juridicos/).
485
+
486
+ - [**MultiLegalPile**](https://huggingface.co/datasets/joelniklaus/Multi_Legal_Pile) ([Paper](https://arxiv.org/abs/2306.02069v2)): a multilingual corpus of legal texts
487
+ comprising 689 GiB of data, covering 24 languages in 17 jurisdictions. The corpus is separated by language, and the subset in Portuguese contains 92GiB of data,
488
+ containing 13.76 billion words. This subset includes the jurisprudence of the Court of Justice of São Paulo (CJPG), appeals from the
489
+ [5th Regional Federal Court (BRCAD-5)](https://www.kaggle.com/datasets/eliasjacob/brcad5), the Portuguese subset of
490
+ legal documents from the European Union, known as [EUR-Lex](https://huggingface.co/datasetsjoelniklaus/eurlex_resources), and a filter for legal documents from
491
+ [MC4](http://arxiv.org/abs/2010.11934).
492
+ - [**Ulysses-Tesemõ**](https://github.com/ulysses-camara/ulysses-tesemo): a legal corpus in Brazilian Portuguese, composed of 2.2 million documents, totaling about 26GiB of text obtained from 96 different data sources. These sources encompass legal, legislative, academic papers, news, and related comments. The data was collected through web scraping of government websites.
493
+ - [**ParlamentoPT**](PORTULAN/parlamento-pt) ([Paper](http://arxiv.org/abs/2305.06721)): a corpus for training language models in European Portuguese. The data was collected from the Portuguese government portal and consists of 2.6 million documents of transcriptions of debates in the Portuguese Parliament.
494
+ - [**Iudicium Textum**](https://dadosabertos.c3sl.ufpr.br/acordaos/) ([Paper](https://www.inf.ufpr.br/didonet/articles/2019_dsw_Iudicium_Textum_Dataset.pdf)): consists of rulings, votes, and reports from the Supreme Federal Court (STF) of Brazil, published between 2010 and 2018. The dataset contains 1GiB of data extracted from PDFs.
495
+ - [**Acordãos TCU**](https://www.kaggle.com/datasets/ferraz/acordaos-tcu) ([Paper](https://link.springer.com/chapter/10.1007/978-3-030-61377-8_46)): an open dataset from the Tribunal de Contas da União (Brazilian Federal Court of Accounts), containing 600,000 documents obtained by web scraping government websites. The documents span from 1992 to 2019.
496
+ - [**DataSTF**](https://legalhackersnatal.wordpress.com/2019/05/09/mais-dados-juridicos/)): a dataset of monocratic decisions from the Superior Court of Justice (STJ) in Brazil, containing 700,000 documents (5GiB of data).
497
+
498
+ ### Dataset Description
499
+
500
+ - **Language(s) (NLP):** Portuguese (pt-BR and pt-PT)
501
+ - **Repository:** https://github.com/eduagarcia/roberta-legal-portuguese
502
+ - **Paper:** https://aclanthology.org/2024.propor-1.38/
503
+
504
+ ## Citation
505
+
506
+ ```bibtex
507
+ @inproceedings{garcia-etal-2024-robertalexpt,
508
+ title = "{R}o{BERT}a{L}ex{PT}: A Legal {R}o{BERT}a Model pretrained with deduplication for {P}ortuguese",
509
+ author = "Garcia, Eduardo A. S. and
510
+ Silva, Nadia F. F. and
511
+ Siqueira, Felipe and
512
+ Albuquerque, Hidelberg O. and
513
+ Gomes, Juliana R. S. and
514
+ Souza, Ellen and
515
+ Lima, Eliomar A.",
516
+ editor = "Gamallo, Pablo and
517
+ Claro, Daniela and
518
+ Teixeira, Ant{\'o}nio and
519
+ Real, Livy and
520
+ Garcia, Marcos and
521
+ Oliveira, Hugo Gon{\c{c}}alo and
522
+ Amaro, Raquel",
523
+ booktitle = "Proceedings of the 16th International Conference on Computational Processing of Portuguese",
524
+ month = mar,
525
+ year = "2024",
526
+ address = "Santiago de Compostela, Galicia/Spain",
527
+ publisher = "Association for Computational Lingustics",
528
+ url = "https://aclanthology.org/2024.propor-1.38",
529
+ pages = "374--383",
530
+ }
531
+ ```
532
+
533
+ ## Acknowledgment
534
+
535
+ This work has been supported by the AI Center of Excellence (Centro de Excelência em Inteligência Artificial – CEIA) of the Institute of Informatics at the Federal University of Goiás (INF-UFG).
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