nabin2004/manim-narrated-dpo-400
manim-narrated-dpo-400 Direct Preference Optimization (DPO) dataset pairing 361 verified, diverse narrated VoiceoverScene scripts (chosen) against structurally identical un-narrated silent Scene scripts (rejected), curated from authentic code-agent trajectories in nabin2004/AOS-Trajectories. Dataset Summary Size: 361 preference pairs (100% unique user visualization prompts). Domains: Linear algebra (eigenvalues, SVD, transformations), calculus, machine learning… See the full description on the dataset page: https://huggingface.co/datasets/nabin2004/manim-narrated-dpo-400.
manim-narrated-dpo-400
Direct Preference Optimization (DPO) dataset pairing 361 verified, diverse narrated `VoiceoverScene` scripts (chosen) against structurally identical un-narrated silent `Scene` scripts (rejected), curated from authentic code-agent trajectories in `nabin2004/AOS-Trajectories`.
Dataset Summary
- Size: 361 preference pairs (100% unique user visualization prompts).
- Domains: Linear algebra (eigenvalues, SVD, transformations), calculus, machine learning (attention maps, backpropagation, batch normalization), physics, and algorithms.
- Chosen: Rich, executable
VoiceoverScenescripts usingAOSSpeechService(voice="alba", cache_dir="voiceover_cache")with multi-block synchronized narration (with self.voiceover(...) as tracker:). - Rejected: Exact counterpart standard Manim CE
Scenecode generated via AST transformation (narration blocks and speech service unwrapped, maintaining identical geometry and visuals).
