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nabin2004/ManiBench

ManiBench: A Benchmark for Testing Visual-Logic Drift and Syntactic Hallucinations in Manim Code Generation Overview ManiBench is a specialized benchmark dataset for evaluating Large Language Model (LLM) performance in generating Manim CE (Community Edition) code—mathematical animations used for educational content creation. This benchmark addresses two critical failure modes in LLM-generated code: Syntactic Hallucinations: Code that appears valid in Python but… See the full description on the dataset page: https://huggingface.co/datasets/nabin2004/ManiBench.

Author / organizationnabin2004
License (as declared)mit
Downloads834 (as reported by Hugging Face)
Likes0
Created14 February 2026
Last updated at source21 February 2026
benchmarkmanimcode-generationllm-evaluationanimationmathematicsvisual-logic
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