KrishBakshi/worldbench
WorldBench [Paper] [GitHub] WorldBench is an execution-based benchmark and agentic judge designed to evaluate large language models on open-ended, LLM-generated Three.js voxel worlds. The main repository, where WorldBench is actively developed, is on GitHub: KrishBakshi/worldbench. This Hugging Face repository is a release snapshot of the benchmark's data and evaluation logic. Overview Large language models can write complete, interactive 3D worlds as code… See the full description on the dataset page: https://huggingface.co/datasets/KrishBakshi/worldbench.
| Author / organization | KrishBakshi |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 244 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 14 October 2026 |
| Last updated at source | 15 October 2026 |
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