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@@ -484,11 +484,11 @@ Dataset is composed by six corpora:
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  [DataSTF](https://legalhackersnatal.wordpress.com/2019/05/09/mais-dados-juridicos/).
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  - [**MultiLegalPile**](https://huggingface.co/datasets/joelniklaus/Multi_Legal_Pile) ([Paper](https://arxiv.org/abs/2306.02069v2)): a multilingual corpus of legal texts
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- - 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,
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- - containing 13.76 billion words. This subset includes the jurisprudence of the Court of Justice of São Paulo (CJPG), appeals from the
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- - [5th Regional Federal Court (BRCAD-5)](https://www.kaggle.com/datasets/eliasjacob/brcad5), the Portuguese subset of
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- - legal documents from the European Union, known as [EUR-Lex](https://huggingface.co/datasetsjoelniklaus/eurlex_resources), and a filter for legal documents from
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- - [MC4](http://arxiv.org/abs/2010.11934).
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  - [**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.
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  - [**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.
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  - [**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.
 
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  [DataSTF](https://legalhackersnatal.wordpress.com/2019/05/09/mais-dados-juridicos/).
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486
  - [**MultiLegalPile**](https://huggingface.co/datasets/joelniklaus/Multi_Legal_Pile) ([Paper](https://arxiv.org/abs/2306.02069v2)): a multilingual corpus of legal texts
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+ 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.
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  - [**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.