Datasets:
Download README.md from MTEB-BR/scielo-clustering: direct link, hf CLI and curl.
- Browser
- Download file 1.59 kB
-
https://huggingface.co/datasets/MTEB-BR/scielo-clustering/resolve/main/README.md
- Command line
-
hf download hf://datasets/MTEB-BR/scielo-clustering/README.md
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curl -L -o README.md https://huggingface.co/datasets/MTEB-BR/scielo-clustering/resolve/main/README.md
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 — 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
@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