remake123/CWBench
CWBench A dual-world VQA benchmark and training set for cross-world aligned distillation (CWAD) of vision-language models. Each item is a pair: world A is an original image, world B is a counterfactual edit of that same image that flips the answer to the question. A model is scored on both members; a pair counts as correct only when both worlds are answered correctly (cross-world pair accuracy, CWPA). Paper and Code 📄 Paper: Distill the Visual Evidence, Not Just… See the full description on the dataset page: https://huggingface.co/datasets/remake123/CWBench.
| Author / organization | remake123 |
|---|---|
| License (as declared) | other |
| Downloads | 999 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 22 September 2026 |
| Last updated at source | 1 October 2026 |
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