turing-motors/ACT-Bench
ACT-Bench ACT-Bench is a dedicated framework for quantitatively evaluating the action controllability of world models for autonomous driving. It focuses on measuring how well a world model can generate driving scenes conditioned on specified trajectories. For more details, please refer our paper and code repository. Data fields Key Value sample_id 0 label 'straight_constant_speed/straight_constant_speed_10kmph' context_frames… See the full description on the dataset page: https://huggingface.co/datasets/turing-motors/ACT-Bench.
| Author / organization | turing-motors |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 304 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 11 December 2024 |
| Last updated at source | 23 December 2024 |
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