Mark-ZJTang/libero_real

LIBERO LeRobot post-training data Repository ID: Mark-ZJTang/libero_real. LeRobot v2-format downstream fine-tuning dataset with 1,693 episodes, 273,465 frames, and 40 task IDs. It contains agent-view and wrist-view images, state, and 7D actions. LIBERO simulator evaluation uses bundled BDDL/init/assets and does not read these demonstrations. Split: train (0:1693), 10 FPS, two chunks. image and wrist_image: image, [256, 256, 3] each. state: float32, [8]. actions: float32, [7].… See the full description on the dataset page: https://huggingface.co/datasets/Mark-ZJTang/libero_real.

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