Sign inGet started
Dataset · Hugging Face

AIGeeksGroup/Code4D

Dataset Card for Code4D (Code2Worlds) Dataset Summary The Code4D benchmark is a dataset designed to evaluate the capability of Large Language Models (LLMs) in generating physically grounded 4D environments. It pairs natural language prompts with complex 3D scenes (provided here as .blend files) that exhibit temporal evolution, physical interactions, and atmospheric changes. Unlike existing text-to-3D datasets that focus solely on static structures, Code4D… See the full description on the dataset page: https://huggingface.co/datasets/AIGeeksGroup/Code4D.

Author / organizationAIGeeksGroup
License (as declared)mit
Downloads170 (as reported by Hugging Face)
Likes5
Created14 February 2026
Last updated at source16 February 2026
blenderprocedural-generationphysics-simulation4d-generationcode-generation
Embed this entry
<iframe src="https://silytics.si/embed/item/78465ddf-da21-4ecd-9ace-3d8244192e91" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Recent changes

  • 16 Oct 2026 Description: Dataset Card for Code4D (Code2Worlds) Dataset Summary The Code4D benchmark is a dataset designed to evaluate the capability of Large Language Models (LLMs) in generating physically grounded 4D environments. It pairs natural language prompts → Dataset Card for Code4D (Code2Worlds) Dataset Summary The Code4D benchmark is a dataset designed to evaluate the capability of Large Language Models (LLMs) in generating physically grounded 4D environments. It pairs natural language prompts

Changes detected by Silytics between refreshes of the source.

More from AIGeeksGroup

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 Information may be incomplete or out of date.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.