MMInstruction/VL-RewardBench
Dataset Card for VLRewardBench Project Page: https://vl-rewardbench.github.io Dataset Summary VLRewardBench is a comprehensive benchmark designed to evaluate vision-language generative reward models (VL-GenRMs) across visual perception, hallucination detection, and reasoning tasks. The benchmark contains 1,250 high-quality examples specifically curated to probe model limitations. Dataset Structure Each instance consists of multimodal queries… See the full description on the dataset page: https://huggingface.co/datasets/MMInstruction/VL-RewardBench.
| Author / organization | MMInstruction |
|---|---|
| License (as declared) | mit |
| Downloads | 754 (as reported by Hugging Face) |
| Likes | 17 |
| Created | 21 October 2024 |
| Last updated at source | 19 May 2025 |
Recent changes
- 16 Oct 2026 Description: Dataset Card for VLRewardBench Project Page: https://vl-rewardbench.github.io Dataset Summary VLRewardBench is a comprehensive benchmark designed to evaluate vision-language generative reward models (VL-GenRMs) across visual perception, hal → Dataset Card for VLRewardBench Project Page: https://vl-rewardbench.github.io Dataset Summary VLRewardBench is a comprehensive benchmark designed to evaluate vision-language generative reward models (VL-GenRMs) across visual perception, hal
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