hulx2002/VisDocAgentBench
VisDocAgentBench VisDocAgentBench is a closed-corpus benchmark for visually rich document retrieval. It contains 120 natural-language queries over 2,375 rendered pages from 100 scientific documents. Queries are evenly divided among direct, one-bridge, and two-bridge evidence structures, with one answer page per query. [Paper] [Code] [Project page] Contents benchmark/ ├── queries.jsonl ├── evaluator_annotations.jsonl └── topics.json corpus/ ├── documents.jsonl ├──… See the full description on the dataset page: https://huggingface.co/datasets/hulx2002/VisDocAgentBench.
| Author / organization | hulx2002 |
|---|---|
| License (as declared) | other |
| Downloads | 282 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 20 August 2026 |
| Last updated at source | 20 August 2026 |
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