Sign inGet started
Dataset · Hugging Face

leigangqu/MSE-Bench

MSE-Bench: A Benchmark for Multi-turn Session Image Editing Introduction MSE-Bench (Multi-turn Session image Editing Benchmark) is a benchmark designed to evaluate multi-turn image editing systems under realistic editing workflows. Given a source image and a series of editing instructions, the goal is for a model to apply these edits cumulatively to produce a final image that reflects all the requested changes. MSE-Bench consists of 100 test instances, each… See the full description on the dataset page: https://huggingface.co/datasets/leigangqu/MSE-Bench.

Author / organizationleigangqu
License (as declared)apache-2.0
Downloads1.6K (as reported by Hugging Face)
Likes2
Created15 March 2026
Last updated at source19 March 2026
Embed this entry
<iframe src="https://silytics.si/embed/item/f7092863-8b6d-478e-bb9e-63b66b73355a" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 2 days

1,617 now (+5 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Recent changes

  • 17 Oct 2026 Description: MSE-Bench: A Benchmark for Multi-turn Session Image Editing Introduction MSE-Bench (Multi-turn Session image Editing Benchmark) is a benchmark designed to evaluate multi-turn image editing systems under realistic editing workflows. Given a → MSE-Bench: A Benchmark for Multi-turn Session Image Editing Introduction MSE-Bench (Multi-turn Session image Editing Benchmark) is a benchmark designed to evaluate multi-turn image editing systems under realistic editing workflows. Given a

Changes detected by Silytics between refreshes of the source.

More from leigangqu

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.