Update README.md

README.md

@@ -415,6 +415,9 @@ size_categories:
 
 LegalPT aggregates the maximum amount of publicly available legal data in Portuguese, drawing from varied sources including legislation, jurisprudence, legal articles, and government documents.
 
+This version 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).
+The raw version is also available [here](https://huggingface.co/datasets/eduagarcia/LegalPT).
+
 ## Dataset Details
 
 Dataset is composed by six corpora: 
@@ -431,22 +434,11 @@ Dataset is composed by six corpora:
 
 ### Dataset Description
 
-- **Curated by:** [More Information Needed]
-- **Funded by:** [More Information Needed]
 - **Language(s) (NLP):** Brazilian Portuguese (pt-BR)
 - **License:** [Creative Commons Attribution 4.0 International Public License](https://creativecommons.org/licenses/by/4.0/deed.en)
-
-### Dataset Sources
-
 - **Repository:** https://github.com/eduagarcia/roberta-legal-portuguese
 - **Paper:** [More Information Needed]
 
-## Dataset Structure
-
-<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
-
-[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).