Dataset

ExeWorldBench

Contains 1K-10K multimodal benchmark tasks across three task groups for generating Blender-style executable 3D worlds from text and images.

Hugging Face ↗Oct 9, 2026

  • llm
  • multimodal
  • image-to-code
  • blender
  • physical-reasoning
cover
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What it is

Benchmark for generating executable 3D worlds from text and images, scored on whether the constructed world actually works rather than just looks right. 1K-10K benchmark instances organized into three task sets (T1/T2/T3) with task files, assets, reference images/frames, API prompts, and judge prompts for code-based 3D world construction in Blender.

Key results

  • 1K-10K task instances
  • 3 task groups: T1, T2, T3
  • Text, images, frames, assets, and eval prompts

Useful for benchmarking models that generate executable 3D world-building code from visual and text inputs.

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