Datasets › GEdit-Bench-EN

GEdit-Bench-EN

Introduced by Shiyu Liu et al. in Step1X-Edit: A Practical Framework for General Image Editing24 Apr 2025 archive 2025-07-28

This dataset is a new benchmark, grounded in real-world usages is developed to support more authentic and comprehensive evaluation of image editing models.

Benchmarks archive 2025-07-28

All 2 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Image Editing GEdit-Bench-EN BAGEL-NHR-EDIT Overall 7.12 NoHumansRequired: Autonomous High-Quality Image Editing... — 3 Compare
Text-based Image Editing GEdit-Bench-EN no rows — — 0 Compare

Papers archive 2025-07-28

3 shown of 3 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 6. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
NoHumansRequired: Autonomous High-Quality Image Editing Triplet Mining 0 1 18 Jul 2025 not harvested
Emerging Properties in Unified Multimodal Pretraining 2 1 20 May 2025 ran 9 of 21 samples (12 unverified)
Step1X-Edit: A Practical Framework for General Image Editing 1 1 24 Apr 2025 ran 4 of 4 samples (0 unverified)

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

MIT

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • GEdit-Bench-EN

1 variant name, as the archive lists them.

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