recogna-nlp/bulas_qa
Medication-Specific QA Benchmark Dataset Details To construct a controlled evaluation benchmark, we selected 25 widely prescribed medications in Brazil across four therapeutic categories: antibiotics, analgesics and anti-inflammatory agents, antihypertensives, and antidiabetics. These categories were chosen to ensure clinical diversity across infectious, inflammatory, cardiovascular, and metabolic conditions. For each selected medication, we verified the presence… See the full description on the dataset page: https://huggingface.co/datasets/recogna-nlp/bulas_qa.
| Author / organization | recogna-nlp |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 330 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 16 March 2026 |
| Last updated at source | 16 March 2026 |
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330 now (+37 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 17 Oct 2026 Description: Medication-Specific QA Benchmark Dataset Details To construct a controlled evaluation benchmark, we selected 25 widely prescribed medications in Brazil across four therapeutic categories: antibiotics, analgesics and anti-inflammatory agents → Medication-Specific QA Benchmark Dataset Details To construct a controlled evaluation benchmark, we selected 25 widely prescribed medications in Brazil across four therapeutic categories: antibiotics, analgesics and anti-inflammatory agents
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