Datasets:
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README.md
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## Data Collection and Processing
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## Citation
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## Data Collection and Processing
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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).
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We used 5-grams and a signature of size 256, considering two documents to be identical if their Jaccard Similarity exceeded 0.7.
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Duplicate rate found by the Minhash-LSH algorithm for the LegalPT corpus:
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| **Corpus** | **Documents** | **Docs. after deduplication** | **Duplicates (%)** |
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|--------------------------|:--------------:|:-----------------------------:|:------------------:|
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| Ulysses-Tesemõ | 2,216,656 | 1,737,720 | 21.61 |
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| MultiLegalPile (PT) | | | |
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| CJPG | 14,068,634 | 6,260,096 | 55.50 |
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| BRCAD-5 | 3,128,292 | 542,680 | 82.65 |
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| EUR-Lex (Caselaw) | 104,312 | 78,893 | 24.37 |
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| EUR-Lex (Contracts) | 11,581 | 8,511 | 26.51 |
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| EUR-Lex (Legislation) | 232,556 | 95,024 | 59.14 |
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| Legal MC4 | 191,174 | 187,637 | 1.85 |
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| ParlamentoPT | 2,670,846 | 2,109,931 | 21.00 |
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| Iudicium Textum | 198,387 | 153,373 | 22.69 |
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| Acordãos TCU | 634,711 | 462,031 | 27.21 |
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| DataSTF | 737,769 | 310,119 | 57.97 |
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| **Total (LegalPT)** | **24,194,918** | **11,946,015** | **50.63** |
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## Citation
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