ufal/cus-qa
CUS-QA: Local-Knowledge-Oriented Open-Ended Question Answering Dataset CUS-QA is a benchmark for open-ended regional question answering that encompasses both textual and visual modalities. The dataset consists of manually curated questions and answers grounded in Wikipedia, created by native speakers from Czechia, Slovakia, and Ukraine, with accompanying English translations. Dataset Overview CUS-QA addresses the gap in evaluation of regional knowledge in large… See the full description on the dataset page: https://huggingface.co/datasets/ufal/cus-qa.
| Author / organization | ufal |
|---|---|
| License (as declared) | mit |
| Downloads | 259 (as reported by Hugging Face) |
| Likes | 6 |
| Created | 24 July 2025 |
| Last updated at source | 2 September 2025 |
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