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40 episodes · 30 fps

Summit Grab Wire From Pile Center Try2 TsFile

Apache TsFile conversion of 1g0rrr/summit_grab_wire_from_pile_center_try2, a LeRobot v2.1 sam_evt2 robot dataset.

Source and provenance

The source card provides no paper or BibTeX citation.

TsFile schema and conversion

Time = round(timestamp * 1000) as INT64 milliseconds, restarting at zero per episode. The source timestamp is dropped as redundant (Time / 1000 seconds). index is renamed to sample_index; frame_index is retained.

TAG/device columns: episode_index, task_index.

FIELD columns: action[14] -> action_0 ... action_13; observation.state[14] -> observation_state_0 ... observation_state_13 (all FLOAT), plus frame_index and sample_index (INT64). The 14 values preserve the source order: six left-arm joints, six right-arm joints, left gripper, and right gripper. No rows or numeric state/action dimensions are dropped.

Storage profile: Time TS_2DIFF + LZ4; FLOAT/DOUBLE GORILLA + LZ4; INT32/INT64 TS_2DIFF + LZ4; BOOLEAN RLE + LZ4 (no BOOLEAN source columns); TAGs use TsFile table-model device/tag storage.

Videos (not included)

The source contains 208 MP4 files (52 per stream, 28,127,868 bytes) under videos/: videos/chunk-000/{observation.images.aux_right,observation.images.front,observation.images.wrist_left,observation.images.wrist_right}/episode_XXXXXX.mp4. Videos are not copied to or uploaded with this TsFile repository. Numeric rows remain frame-aligned via episode_index and frame_index.

Minimal read example

from tsfile import TsFileReader
reader = TsFileReader("data/summit_grab_wire_from_pile_center_try2.tsfile")
with reader.query_table("summit_grab_wire_from_pile_center_try2", ["episode_index", "task_index", "Time", "frame_index", "action_0"], batch_size=4096) as result:
    print(result.read_arrow_batch().to_pandas().head())
reader.close()

Please cite the original Hugging Face dataset and Igor (1g0rrr). The source card does not provide a paper or completed BibTeX citation.

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