amalia-llm/CorEGe-PT

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Citation text from the card

@inproceedings{kuhn-etal-2026-corege,
  title = {CorEGe-PT: Compiling a Large Corpus of Academic Texts in Portuguese},
  author = {Kuhn, Tanara Zingano and Matos, José and Neves, Bruno and Pereira, Daniela and Cação, Elisabete and Simões, Ivo and Estima, Jacinto and Leão, Delfim and Oliveira, Hugo Goncalo},
  booktitle = {Proceedings of the Fifteenth Language Resources and Evaluation Conference (LREC 2026)},
  month = {May},
  year = {2026},
  pages = {1533--1543},
  address = {Palma, Mallorca, Spain},
  publisher = {European Language Resources Association (ELRA)},
  editor = {Piperidis, Stelios and Bel, Núria and van den Heuvel, Henk and Ide, Nancy and Krek, Simon and Toral, Antonio},
  doi = {10.63317/3wm6ywh8gzxm},
  abstract = {This paper describes the creation of a large-scale corpus of academic texts in Portuguese, dubbed CorEGe-PT, extracted from the institutional repository of a Portuguese university. Its compilation methodology, which combined automatic and manual procedures, is detailed, together with challenges faced and proposed solutions. The process included a thorough analysis of the metadata, which will be publicly released together with the documents, extracted in a markdown format. CorEGe-PT covers five areas of knowledge and, with over 34,000 documents and 1B tokens, is the largest of corpus of its kind in Portuguese, which will enable in-depth linguistic studies while providing data for adapting Large Language Models to academic Portuguese and related task

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dataset_licence({ "id": "amalia-llm/CorEGe-PT" })
signal: "restrictive"
stated_licence: "cc-by-nc-sa-4.0"
sources: 0