Dataset · Hugging Face

AlayaLab/EditHero

Name: EditHero
Creator: AlayaLab
License: other
Keywords: task_categories:image-to-3d, task_categories:text-to-3d, task_categories:image-to-image, task_categories:image-text-to-text, language:en, license:other, size_categories:1K<n<10K, format:parquet, modality:image, modality:text, modality:3d, library:datasets, library:dask, library:polars, library:mlcroissant

EditHero data EditHero is a benchmark for long-horizon, part-level 3D editing. Each chain starts from a textured, part-segmented host object and applies a sequence of edits (add, remove, replace, retexture), each with a natural-language instruction and an exact target state. 457 chains, 2,755 edits, 3,212 states, 252 host objects, in six families: A (additions), P (replacements), R (removals), M (material changes), G (mixed geometry edits) and X (geometry and material edits… See the full description on the dataset page: https://huggingface.co/datasets/AlayaLab/EditHero.

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Author / organization	AlayaLab
License (as declared)	other
Downloads	497 (as reported by Hugging Face)
Likes	3
Created	8 October 2026
Last updated at source	9 October 2026

3d3d-editing3d-generationpart-levelbenchmarkmulti-turnlong-horizonllmvlmagentcode-generationvibe-modelingglb

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