--- dataset_info: - config_name: acordaos_tcu features: - name: id dtype: int64 - name: text dtype: string - name: meta struct: - name: dedup struct: - name: exact_norm struct: - name: cluster_main_idx dtype: int64 - name: cluster_size dtype: int64 - name: exact_hash_idx dtype: int64 - name: is_duplicate dtype: bool - name: minhash struct: - name: cluster_main_idx dtype: int64 - name: cluster_size dtype: int64 - name: is_duplicate dtype: bool - name: minhash_idx dtype: int64 splits: - name: train num_bytes: 2543994549.48221 num_examples: 462031 download_size: 1566036137 dataset_size: 2543994549.48221 - config_name: datastf features: - name: text dtype: string - name: meta struct: - name: dedup struct: - name: exact_norm struct: - name: cluster_main_idx dtype: int64 - name: cluster_size dtype: int64 - name: exact_hash_idx dtype: int64 - name: is_duplicate dtype: bool - name: minhash struct: - name: cluster_main_idx dtype: int64 - name: cluster_size dtype: int64 - name: is_duplicate dtype: bool - name: minhash_idx dtype: int64 - name: id dtype: int64 splits: - name: train num_bytes: 1555024472.2888384 num_examples: 310119 download_size: 853863429 dataset_size: 1555024472.2888384 - config_name: iudicium_textum features: - name: text dtype: string - name: meta struct: - name: dedup struct: - name: exact_norm struct: - name: cluster_main_idx dtype: int64 - name: cluster_size dtype: int64 - name: exact_hash_idx dtype: int64 - name: is_duplicate dtype: bool - name: minhash struct: - name: cluster_main_idx dtype: int64 - name: cluster_size dtype: int64 - name: is_duplicate dtype: bool - name: minhash_idx dtype: int64 - name: id dtype: int64 splits: - name: train num_bytes: 692805629.2689289 num_examples: 153373 download_size: 372281973 dataset_size: 692805629.2689289 - config_name: mlp_pt_BRCAD-5 features: - name: id dtype: int64 - name: text dtype: string - name: meta struct: - name: dedup struct: - name: exact_norm struct: - name: cluster_main_idx dtype: int64 - name: cluster_size dtype: int64 - name: exact_hash_idx dtype: int64 - name: is_duplicate dtype: bool - name: minhash struct: - name: cluster_main_idx dtype: int64 - name: cluster_size dtype: int64 - name: is_duplicate dtype: bool - name: minhash_idx dtype: int64 splits: - name: train num_bytes: 3523570990.7531776 num_examples: 542680 download_size: 1883985787 dataset_size: 3523570990.7531776 - config_name: mlp_pt_CJPG features: - name: id dtype: int64 - name: text dtype: string - name: meta struct: - name: dedup struct: - name: exact_norm struct: - name: cluster_main_idx dtype: int64 - name: cluster_size dtype: int64 - name: exact_hash_idx dtype: int64 - name: is_duplicate dtype: bool - name: minhash struct: - name: cluster_main_idx dtype: int64 - name: cluster_size dtype: int64 - name: is_duplicate dtype: bool - name: minhash_idx dtype: int64 splits: - name: train num_bytes: 28122511051.563988 num_examples: 6260096 download_size: 19944599978 dataset_size: 28122511051.563988 - config_name: mlp_pt_eurlex-caselaw features: - name: id dtype: int64 - name: text dtype: string - name: meta struct: - name: dedup struct: - name: exact_norm struct: - name: cluster_main_idx dtype: int64 - name: cluster_size dtype: int64 - name: exact_hash_idx dtype: int64 - name: is_duplicate dtype: bool - name: minhash struct: - name: cluster_main_idx dtype: int64 - name: cluster_size dtype: int64 - name: is_duplicate dtype: bool - name: minhash_idx dtype: int64 splits: - name: train num_bytes: 1134175020.033026 num_examples: 78893 download_size: 609610934 dataset_size: 1134175020.033026 - config_name: mlp_pt_eurlex-contracts features: - name: id dtype: int64 - name: text dtype: string - name: meta struct: - name: dedup struct: - name: exact_norm struct: - name: cluster_main_idx dtype: int64 - name: cluster_size dtype: int64 - name: exact_hash_idx dtype: int64 - name: is_duplicate dtype: bool - name: minhash struct: - name: cluster_main_idx dtype: int64 - name: cluster_size dtype: int64 - name: is_duplicate dtype: bool - name: minhash_idx dtype: int64 splits: - name: train num_bytes: 343350961.1607806 num_examples: 8511 download_size: 99128584 dataset_size: 343350961.1607806 - config_name: mlp_pt_eurlex-legislation features: - name: id dtype: int64 - name: text dtype: string - name: meta struct: - name: dedup struct: - name: exact_norm struct: - name: cluster_main_idx dtype: int64 - name: cluster_size dtype: int64 - name: exact_hash_idx dtype: int64 - name: is_duplicate dtype: bool - name: minhash struct: - name: cluster_main_idx dtype: int64 - name: cluster_size dtype: int64 - name: is_duplicate dtype: bool - name: minhash_idx dtype: int64 splits: - name: train num_bytes: 2316503707.9080825 num_examples: 95024 download_size: 1051142246 dataset_size: 2316503707.9080825 - config_name: mlp_pt_legal-mc4 features: - name: id dtype: int64 - name: text dtype: string - name: meta struct: - name: dedup struct: - name: exact_norm struct: - name: cluster_main_idx dtype: int64 - name: cluster_size dtype: int64 - name: exact_hash_idx dtype: int64 - name: is_duplicate dtype: bool - name: minhash struct: - name: cluster_main_idx dtype: int64 - name: cluster_size dtype: int64 - name: is_duplicate dtype: bool - name: minhash_idx dtype: int64 splits: - name: train num_bytes: 4400930935.870118 num_examples: 187637 download_size: 2206590934 dataset_size: 4400930935.870118 - config_name: parlamento-pt features: - name: id dtype: int64 - name: text dtype: string - name: meta struct: - name: dedup struct: - name: exact_norm struct: - name: cluster_main_idx dtype: int64 - name: cluster_size dtype: int64 - name: exact_hash_idx dtype: int64 - name: is_duplicate dtype: bool - name: minhash struct: - name: cluster_main_idx dtype: int64 - name: cluster_size dtype: int64 - name: is_duplicate dtype: bool - name: minhash_idx dtype: int64 splits: - name: train num_bytes: 2265120232.5456176 num_examples: 2109931 download_size: 1189159296 dataset_size: 2265120232.5456176 configs: - config_name: acordaos_tcu data_files: - split: train path: acordaos_tcu/train-* - config_name: datastf data_files: - split: train path: datastf/train-* - config_name: iudicium_textum data_files: - split: train path: iudicium_textum/train-* - config_name: mlp_pt_BRCAD-5 data_files: - split: train path: mlp_pt_BRCAD-5/train-* - config_name: mlp_pt_CJPG data_files: - split: train path: mlp_pt_CJPG/train-* - config_name: mlp_pt_eurlex-caselaw data_files: - split: train path: mlp_pt_eurlex-caselaw/train-* - config_name: mlp_pt_eurlex-contracts data_files: - split: train path: mlp_pt_eurlex-contracts/train-* - config_name: mlp_pt_eurlex-legislation data_files: - split: train path: mlp_pt_eurlex-legislation/train-* - config_name: mlp_pt_legal-mc4 data_files: - split: train path: mlp_pt_legal-mc4/train-* - config_name: parlamento-pt data_files: - split: train path: parlamento-pt/train-* license: cc-by-4.0 language: - pt tags: - legal pretty_name: LegalPT (deduplicated) size_categories: - 10M [More Information Needed] ## Data Collection and Processing LegalPT is deduplicated using [MinHash algorithm](https://dl.acm.org/doi/abs/10.5555/647819.736184) and [Locality Sensitive Hashing](https://dspace.mit.edu/bitstream/handle/1721.1/134231/v008a014.pdf?sequence=2&isAllowed=y), following the approach of [Lee et al. (2022)](http://arxiv.org/abs/2107.06499). We used 5-grams and a signature of size 256, considering two documents to be identical if their Jaccard Similarity exceeded 0.7. Duplicate rate found by the Minhash-LSH algorithm for the LegalPT corpus: | **Corpus** | **Documents** | **Docs. after deduplication** | **Duplicates (%)** | |--------------------------|:--------------:|:-----------------------------:|:------------------:| | Ulysses-Tesemõ | 2,216,656 | 1,737,720 | 21.61 | | MultiLegalPile (PT) | | | | | CJPG | 14,068,634 | 6,260,096 | 55.50 | | BRCAD-5 | 3,128,292 | 542,680 | 82.65 | | EUR-Lex (Caselaw) | 104,312 | 78,893 | 24.37 | | EUR-Lex (Contracts) | 11,581 | 8,511 | 26.51 | | EUR-Lex (Legislation) | 232,556 | 95,024 | 59.14 | | Legal MC4 | 191,174 | 187,637 | 1.85 | | ParlamentoPT | 2,670,846 | 2,109,931 | 21.00 | | Iudicium Textum | 198,387 | 153,373 | 22.69 | | Acordãos TCU | 634,711 | 462,031 | 27.21 | | DataSTF | 737,769 | 310,119 | 57.97 | | **Total (LegalPT)** | **24,194,918** | **11,946,015** | **50.63** | ## Citation ```bibtex @InProceedings{garcia2024_roberlexpt, author="Garcia, Eduardo A. S. and Silva, N{\'a}dia F. F. and Siqueira, Felipe and Gomes, Juliana R. S. and Albuqueruqe, Hidelberg O. and Souza, Ellen and Lima, Eliomar and De Carvalho, André", title="RoBERTaLexPT: A Legal RoBERTa Model pretrained with deduplication for Portuguese", booktitle="Computational Processing of the Portuguese Language", year="2024", publisher="Association for Computational Linguistics" } ``` ## Acknowledgment 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).