Dataset · Hugging Face

AgPerry/EditReward-Data-100

Name: EditReward-Data-100
Creator: AgPerry
License: mit
Keywords: task_categories:image-to-image, task_categories:visual-question-answering, language:en, license:mit, size_categories:n<1K, format:parquet, modality:image, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, image-editing, evaluation

EditReward Curated 100 100 high-quality, richly annotated image editing preference examples curated from TIGER-Lab/EditReward-Data. Each example contains a source image, two edited outputs (left/right) from different models, human preference labels, and detailed multi-dimensional annotations. Quick Start from datasets import load_dataset ds = load_dataset("AgPerry/EditReward-Data-100", split="train") # Access an example example = ds[0] print(f"Instruction:… See the full description on the dataset page: https://huggingface.co/datasets/AgPerry/EditReward-Data-100.

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Author / organization	AgPerry
License (as declared)	mit
Downloads	213 (as reported by Hugging Face)
Likes	1
Created	1 March 2026
Last updated at source	1 March 2026

image-editingevaluationpreferencebenchmark

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