Datasets › BLUEX
BLUEX
BLUEX is a valuable benchmark dataset designed to evaluate language models in Portuguese. Despite Portuguese being the fifth most widely spoken language, there is a scarcity of freely available resources for assessing language models in this language. The BLUEX dataset addresses this gap by providing a multimodal collection of questions from the two leading university entrance exams conducted in Brazil: Convest (Unicamp) and Fuvest (USP). These exams span from 2018 to 2024 and cover a total of 1260 questions. Notably, 724 of these questions do not have accompanying images.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 5 papers for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
No task tagged in the archive.
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- BLUEX
1 variant name, as the archive lists them.
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