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298 episodes · 30 fps

earbud_case_insertion_teleop_0515 TsFile

This dataset is a TsFile conversion of the Hugging Face dataset Xense/earbud_case_insertion_teleop_0515, which was created using LeRobot.

Modalities: Time-series. The original dataset also includes camera and tactile video streams; those videos are not included in this repository and remain available in the source dataset.

Source Dataset

  • Original dataset: Xense/earbud_case_insertion_teleop_0515
  • License: Apache-2.0
  • Task category: robotics
  • Robot type: bi_flexiv_rizon4_rt
  • Task: pick up each earbud case from the left stands, insert the matching earbuds, close the lid, and place the case in the box.
  • Split: single train split (0:298)
  • Scale: 298 episodes, 488,118 frames, 1 task, 1 data chunk
  • Sampling rate: 30 fps
  • Original video features:
    • observation.images.head
    • observation.images.left_wrist
    • observation.images.right_wrist
    • observation.images.left_tactile_0
    • observation.images.left_tactile_1
    • observation.images.right_tactile_0
    • observation.images.right_tactile_1

Converted Files

  • TsFile: data/earbud_case_insertion_teleop_0515.tsfile
  • Rows: 488,118
  • Episodes: 298
  • Tasks: 1 (task_index = 0)
  • Table name: earbud_case_insertion_teleop_0515
  • Time precision: milliseconds
  • Metadata: meta/ is mirrored from the source dataset, with meta/info.json rewritten to describe the TsFile artifact and conversion mapping.

Schema

Column Role Type Notes
Time TIME INT64 round(timestamp * 1000), in milliseconds; restarts per episode
episode_index TAG INT64 Source episode identifier
task_index TAG INT64 Source task identifier
frame_index FIELD INT64 Source frame index, preserved
sample_index FIELD INT64 Renamed from source index
action_0 ... action_19 FIELD FLOAT Flattened from action[20]
observation_state_0 ... observation_state_19 FIELD FLOAT Flattened from observation.state[20]

The action and observation-state element names are: left_tcp.x, left_tcp.y, left_tcp.z, left_tcp.r1 ... left_tcp.r6, right_tcp.x, right_tcp.y, right_tcp.z, right_tcp.r1 ... right_tcp.r6, left_gripper.pos, and right_gripper.pos.

episode_index and task_index are TAG columns, so they form the TsFile device dimension. To read one episode, filter by episode_index.

Conversion Notes

  • The LeRobot frame Parquet files under data/chunk-000/ were merged into one TsFile for the train split.
  • Vector columns were flattened by preserving the source column name, replacing . with _, and appending the element index.
  • The source timestamp column is dropped because it is redundant with Time / 1000 seconds.
  • The source index column is renamed to sample_index.
  • Camera and tactile videos are not uploaded here. Use the original dataset videos: https://huggingface.co/datasets/Xense/earbud_case_insertion_teleop_0515/tree/main/videos

Read Example

from tsfile import TsFileReader

path = "data/earbud_case_insertion_teleop_0515.tsfile"
table = "earbud_case_insertion_teleop_0515"

with TsFileReader(path) as reader:
    columns = [
        "episode_index",
        "task_index",
        "frame_index",
        "sample_index",
        "action_0",
        "observation_state_0",
    ]
    with reader.query_table(table, columns, batch_size=4096) as result:
        batch = result.read_arrow_batch()
        print(batch)

Citation

The original dataset card does not provide a BibTeX citation.

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