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Datasets:
jzpeng
/
boxing_a_first_aid_kit

Tasks:
Robotics
Modalities:
Time-series
Size:
10K<n<100K
Tags:
LeRobot
so100
boxing a first aid kit
tsfile
timeseries
time-series
License:
Dataset card Files
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boxing_a_first_aid_kit / README.md
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Add TsFile (converted from woohyunwoo/boxing_a_first_aid_kit)
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metadata 
license: apache-2.0
task_categories:
  - robotics
tags:
  - LeRobot
  - so100
  - boxing a first aid kit
  - tsfile
  - timeseries
  - time-series
  - robotics
  - modality:timeseries
size_categories:
  - 10K<n<100K
modality:
  - timeseries
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/boxing_a_first_aid_kit_train.tsfile

Boxing a First Aid Kit (TsFile)

Converted from woohyunwoo/boxing_a_first_aid_kit at pinned revision 392bd7088c2561c0d6fc7a11b7e652933c2ec56d. Modalities: Time-series.

Dataset description

This LeRobot v2.1 dataset contains dual-arm SO100 demonstrations for the source task labeled boxing_a_first_aid_kit.

The pinned task table contains one task: boxing_a_first_aid_kit.

  • Source repository owner/publisher: woohyunwoo
  • License: apache-2.0 (declared by the source card).
  • Paper/homepage/citation: no completed paper, homepage, or citation is documented in the pinned source card unless linked above.

Source metadata note: The source README embeds an older 22-episode/25,235-frame snapshot. Counts here use the pinned meta/info.json, 50 source episode Parquets, staged rows, and TsFile metadata.

Dataset Scale

Split Episodes Tasks Source trajectory Parquets TsFile rows Sampling rate TsFile files/shards
train 50 1 50 48,777 30 Hz 1

The staged Parquet has 48,777 rows and 29 columns including Time; TsFile chunk metadata independently reports the same 48,777 rows.

TsFile schema

Column Role TsFile type Observed/source range
Time TIME INT64 0–45,567 ms; restarts per episode
episode_index TAG STRING source integer 0–49
task_index TAG STRING source integer 0–0
frame_index FIELD INT64 0–1,367 within an episode
sample_index FIELD INT64 0–48,776 globally

Exact remaining FIELD names/ranges and imported types:

  • action_0–action_11 (FLOAT): left and right shoulder pan/lift, elbow flex, wrist flex/roll, and gripper actions
  • observation_state_0–observation_state_11 (FLOAT): the corresponding 12 dual-arm state coordinates

Conversion

  • All source episodes in the train split are merged into data/boxing_a_first_aid_kit_train.tsfile; episode_index and task_index are TAG dimensions.
  • Time = round(timestamp * 1000) in milliseconds. The source timestamp column is omitted because it is redundant with Time / 1000 seconds.
  • frame_index is retained. Source index is retained as sample_index.
  • Every vector is fully flattened: the complete source name is kept, . becomes _, and element indices are appended. Float vectors are imported as single-precision FLOAT fields.
  • Other scalar source columns shown above are retained; no trajectory rows are intentionally dropped.
  • Source metadata is mirrored for publication, with copied meta/info.json rewritten to describe the converted data path and conversion semantics.

Video policy

The pinned metadata declares 150 source videos across overview, left, and right cameras. MP4 files were not downloaded or uploaded; they remain in the pinned source videos/ tree.

Minimal read example 

from tsfile import TsFileReader

reader = TsFileReader("data/boxing_a_first_aid_kit_train.tsfile")
print(reader.get_all_table_schemas().keys())
reader.close()

Source and provenance