Zhanli-Li/MuDABench
MuDABench MuDABench is a benchmark for multi-document analytical question answering over large-scale document collections. Repository links: Hugging Face dataset: https://huggingface.co/datasets/Zhanli-Li/MuDABench GitHub repository: https://github.com/Zhanli-Li/MuDABench Overview This release contains: data/simple.json: 166 QA samples with concise final answers. data/complex.json: 166 QA samples with more detailed analytical final answers. data/pdf/: 589… See the full description on the dataset page: https://huggingface.co/datasets/Zhanli-Li/MuDABench.
| Author / organization | Zhanli-Li |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 932 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 19 April 2026 |
| Last updated at source | 27 April 2026 |
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- 16 Oct 2026 Description: MuDABench MuDABench is a benchmark for multi-document analytical question answering over large-scale document collections. Repository links: Hugging Face dataset: https://huggingface.co/datasets/Zhanli-Li/MuDABench GitHub repository: https: → MuDABench MuDABench is a benchmark for multi-document analytical question answering over large-scale document collections. Repository links: Hugging Face dataset: https://huggingface.co/datasets/Zhanli-Li/MuDABench GitHub repository: https:
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