Added README v1

README.md

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-license: cc-by-nc-sa-4.0
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+---
+license: cc-by-nc-sa-4.0
+language:
+- pt
+size_categories:
+- 10K<n<100K
+---
+
+# *CorEGe-PT*: Corpus do Estudo Geral - Portuguese
+
+**CorEGe-PT** is a large-scale **corpus of academic texts written in Portuguese (mainly European Portuguese)**, extracted from [Estudo Geral](https://www.uc.pt/en/sibuc/Estudo_Geral), the institutional repository of the [University of Coimbra](https://www.uc.pt/). It contains over **34,000 documents** and approximately **1 billion tokens**, making it the **largest available corpus of its kind for the Portuguese language**.
+
+This dataset is designed to **support linguistic research** (Academic Discourse Studies) and the **training or adaptation of Large Language Models (LLMs)** for the academic domain.
+
+
+## Dataset Details
+
+- **Total Documents**: >34,000 
+- **Total Tokens**: ~1.1 Billion 
+- **Languages**: Portuguese (Primary), with a distinction between European (PT-PT) and Brazilian (PT-BR) varieties.
+- **Format**: Markdown (extracted using [Docling](https://docling-project.github.io/docling/))
+
+
+### Taxonomy
+
+The corpus covers **five main Fields of Science and Technology (FOS)**:
+
+- **Social Sciences** (37.9% of docs) 
+
+- **Medical and Health Sciences** (24.8% of docs) 
+
+- **Humanities** (16.4% of docs) 
+
+- **Engineering and Technology Sciences** (12.4% of docs) 
+
+- **Exact and Natural Sciences** (7.1% of docs)
+
+*(Some of the documents may overlap more than one FOS.)
+
+
+### Data Fields
+
+Each record contains the full text and rich metadata. The metadata fields **include original repository data and enriched fields added during post-processing**:
+
+- `text`: The **full academic text converted to Markdown** structure.
+
+- `dc.title`: Publication **title**.
+
+- `dc.subject.fos`: Field of Science and Technology (FOS) classification.
+
+- `dc.type`: Document type (e.g., masterThesis, doctoralThesis, article).
+
+- `dc.date.issued`: Publication year.
+
+- `dc.rights`: Access rights (e.g., openAccess).
+
+- `pt.auto`: Boolean indicating if the text was automatically classified as **Portuguese**.
+
+- `pt.pt.auto`: Boolean indicating if the text was automatically classified as **European Portuguese**.
+
+- `fos_assignment`: Indicates if the **FOS was assigned via heuristic or classifier**.
+
+
+
+## Ethical Considerations
+
+All documents were sourced from a public repository , ensuring they are open access and free of restrictive "No Derivatives" (ND) licenses.
+
+## Citation
+
+If you find **CorEGe-PT** useful in your research, please consider citing:
+
+```
+@inproceedings{kuhn_etal:lrec2026,
+	author = {Tanara Zingano Kuhn and Jos{\’e} Matos and Bruno Neves and Daniela Pereira and Elisabete Ca{\c c}{\~a}o and Ivo Sim{\~o}es and Jacinto Estima and Delfim Le{\~a}o and Hugo {Gon{\c c}alo Oliveira}},
+	booktitle = {Proceedings of 15th Language Resources and Evaluation Conference},
+	pages = {Accepted},
+	publisher = {ELRA},
+	series = {LREC 2026},
+	title = {{CorEGe-PT}: {C}ompiling a {L}arge {C}orpus of {A}cademic {T}exts in~{P}ortuguese},
+	year = {2026}}
+```
+
+## License
+
+This project is licensed under the [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en) license.