---
language:
  - pt
license: cc-by-4.0
task_categories:
  - text-classification
tags:
  - mteb
  - portuguese
  - brazilian-portuguese
  - clustering
pretty_name: SciELOClusteringP2P
---
# SciELOClusteringP2P

Cluster Brazilian Portuguese scientific abstracts from the SciELO Brazil open-access library into 8 broad research areas (Health Sciences, Social Sciences, Agricultural Sciences, Biological/Life Sciences, Humanities & Arts, Engineering & Technology, Physical Sciences & Chemistry, Mathematics & Computer Science). Areas are consolidated from the Web-of-Science subject categories of each article; only pure CC-BY-4.0 articles are included.

Part of **[MTEB-BR](https://huggingface.co/spaces/MTEB-BR/leaderboard)** — the native Brazilian-Portuguese MTEB sub-benchmark. **Task type:** Clustering · **Language:** Brazilian Portuguese (mined from real-world sources) · **Domains:** Academic, Written.

## Dataset structure
- **`default`** — columns: `sentences`, `label`

## Source
https://huggingface.co/datasets/eduagarcia/scielo_abstracts

## License
`cc-by-4.0`

## Citation
```bibtex
@misc{scielo_abstracts,
    title        = {{SciELO} Abstracts: a corpus of open-access Brazilian scientific abstracts},
    author       = {{SciELO}},
    howpublished = {HuggingFace dataset \texttt{eduagarcia/scielo\_abstracts}, derived from the SciELO open-access scientific library},
    url          = {https://huggingface.co/datasets/eduagarcia/scielo_abstracts},
}
```

---
*Repackaged for MTEB-BR; pinned by commit SHA in the task for reproducibility.*
arxiv.org/abs/2607.04581