task05 / README.md
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pretty_name: RLE-Bench task05
tags:
  - robotics
  - libero
  - robotwin

RLE-Bench task05

Demonstration shards mounted by the task05 (nanoVLA) cells: 128x128 frames stored as flat little-endian arrays with JSON sidecars. rlebench prepare task05 fetches them at a pinned revision and checks every file against SHA256SUMS.

directory source tasks episodes frames state / action dim
shards_l10_128/ LIBERO-10 from physical-intelligence/libero at a4336d589d589045d1c56423ffdf3b88a0e19b1f 10 379 101469 8 / 7
shards_rt15_128/ RoboTwin 2.0 aloha-agilex clean demonstrations (clean50) 15 700 135519 16 / 14

In each directory, agent.u8 and wrist.u8 hold frames x 128 x 128 x 3 uint8 images (for RoboTwin, the two cameras meta.json lists), state.f32 and actions.f32 the per-frame vectors, ep_end.i32 the episode boundaries, task_idx.u8 the task of each frame and meta.json the shapes. The remaining files hold task strings and tokens, instructions, episode ids and normalisation statistics.

The upstream datasets' licenses apply to the derived frames.