Dataset · Hugging Face

WeiChow/CrispEdit-2M

Name: CrispEdit-2M
Creator: WeiChow
License: cc-by-4.0
Keywords: task_categories:image-to-image, language:en, license:cc-by-4.0, size_categories:1M<n<10M, format:parquet, format:optimized-parquet, modality:image, modality:text, library:datasets, library:dask, library:polars, library:mlcroissant, arxiv:2512.11715, region:us, image

🖼️ CrispEdit-2M CrispEdit-2M is a comprehensive dataset introduced in the paper ✨ EditMGT: Unleashing the Potential of Masked Generative Transformer in Image Editing ✨. This dataset encompasses 7 distinct image editing task categories. 🌟 Overview CrispEdit-2M is a large-scale dataset specifically designed for training and evaluating image editing models. With over 2.2 million samples across 7 different editing tasks, it provides researchers with a rich… See the full description on the dataset page: https://huggingface.co/datasets/WeiChow/CrispEdit-2M.

View on Hugging FaceReport an issue

Author / organization	WeiChow
License (as declared)	cc-by-4.0
Downloads	1.3K (as reported by Hugging Face)
Likes	18
Created	22 September 2025
Last updated at source	29 December 2025

imageimage-editinginstruction-tuninginstruction-guidedmultimodal

Embed this entry

<iframe src="https://silytics.si/embed/item/0d8241f8-97d5-4fd1-9ea2-f07e02d36595" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

More from WeiChow

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.