| 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. | |