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FaQuADIR

FaQuAD reformulated as PT-BR academic retrieval: given a question about Brazilian higher education, retrieve the source paragraph containing the answer. 900 questions over 244 unique paragraphs, drawn from 18 official documents of a federal-university CS program plus 21 Wikipedia articles about Brazil's higher-education system. Complements legal/web retrieval domains with academic/educational content.

Part of MTEB-BR — the native Brazilian-Portuguese MTEB sub-benchmark. Task type: Retrieval · Language: Brazilian Portuguese (native, human-created) · Domains: Academic, Encyclopaedic, Written.

Dataset structure

  • corpus — columns: _id, title, text
  • qrels — columns: query-id, corpus-id, score
  • queries — columns: _id, text

Source

https://github.com/liafacom/faquad

License

cc-by-4.0

Citation

@INPROCEEDINGS{sayama-etal-2019-faquad,
    author = {Sayama, H{\'e}lio Fonseca and Araujo, Anderson Vi{\c{c}}oso and Fernandes, Eraldo Rezende},
    booktitle = {2019 8th Brazilian Conference on Intelligent Systems (BRACIS)},
    title = {{F}a{Q}u{AD}: Reading Comprehension Dataset in the Domain of {B}razilian Higher Education},
    year = {2019},
    pages = {443--448},
    doi = {10.1109/BRACIS.2019.00084},
}

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

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Paper for MTEB-BR/faquad-ir