Dataset · Hugging Face

TIGER-Lab/EditReward-Data

Name: EditReward-Data
Creator: TIGER-Lab
License: cc-by-nc-4.0
Keywords: task_categories:image-text-to-text, language:en, license:cc-by-nc-4.0, size_categories:100K<n<1M, arxiv:2509.26346, region:us, image-editing, reward-modeling, preference-data

EditReward-Data This repository contains EditReward-Data, a large-scale, high-fidelity human preference dataset for instruction-guided image editing. It was introduced in the paper EditReward: A Human-Aligned Reward Model for Instruction-Guided Image Editing. EditReward-Data comprises over 200K manually annotated preference pairs. These annotations were meticulously curated by trained experts following a rigorous and standardized protocol, ensuring high alignment with considered… See the full description on the dataset page: https://huggingface.co/datasets/TIGER-Lab/EditReward-Data.

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Author / organization	TIGER-Lab
License (as declared)	cc-by-nc-4.0
Downloads	2.1K (as reported by Hugging Face)
Likes	8
Created	12 October 2025
Last updated at source	12 October 2025

image-editingreward-modelingpreference-data

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TIGER-Lab/EditReward-Qwen2.5-VL-7BModel · used to train
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