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Dataset · Hugging Face

EditScore/EditReward-Bench

News | Quick Start | Benchmark Usage | Citation EditScore is a series of state-of-the-art open-source reward models (7B–72B) designed to evaluate and enhance instruction-guided image editing. ✨ Highlights State-of-the-Art Performance: Effectively matches the performance of leading proprietary VLMs. With a self-ensembling strategy, our largest model surpasses even GPT-5 on our comprehensive benchmark… See the full description on the dataset page: https://huggingface.co/datasets/EditScore/EditReward-Bench.

Author / organizationEditScore
License (as declared)apache-2.0
Downloads353 (as reported by Hugging Face)
Likes6
Created28 September 2025
Last updated at source17 October 2025
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