Maandagtest TsFile

This dataset is a TsFile conversion of the Hugging Face dataset Syntax-Terror-BV/maandagtest. The source card says it was created with Physical AI Tools and LeRobot. It is a LeRobot v2.1 robotics dataset for the OMY F3M robot.

Modalities: Time-series. The original dataset also contains video streams, but videos are not included in this TsFile conversion.

Source Dataset

• Original dataset: Syntax-Terror-BV/maandagtest
• Source format: LeRobot v2.1
• License: Apache-2.0
• Robot type: omy_f3m
• Task: pak doosje, zet in bak
• Source scale: 49 episodes, 23,136 frames, 1 task, 30 fps
• Source video streams: observation.images.cam_wrist at 480 x 848, observation.images.cam_top at 480 x 640, and observation.images.cam_side at 480 x 640
• Source video count: 147 video files

Converted Files

• data/maandagtest_train.tsfile
• Table name: maandagtest_train
• Split: train, from the source split specification 0:49
• TsFile size after conversion: 906,147 bytes
• Converted rows: 23,136
• Converted schema width: 19 columns total, including 1 Time column, 2 TAG columns, and 16 FIELD columns

The source meta/ directory is mirrored in this repository. meta/info.json has been updated so data_path points to the converted TsFile artifact and tsfile_conversion documents the mapping from the original LeRobot data.

Schema

• Time: integer milliseconds, computed as round(timestamp * 1000). Time restarts within each episode, matching the source per-episode timeline.
• TAG columns: episode_index, task_index.
• FIELD columns: frame_index, sample_index, flattened observation.state[7], and flattened action[7].
• Source column index is renamed to sample_index.
• Source column timestamp is dropped after creating Time, because it is redundant with Time / 1000 seconds.

Vector columns are flattened into scalar TsFile fields by preserving the full source column name, replacing . with _, and appending the element index:

observation.state[7] -> observation_state_0 ... observation_state_6
action[7]            -> action_0 ... action_6

Video Policy

Videos are intentionally not uploaded here. The source video features observation.images.cam_wrist, observation.images.cam_top, and observation.images.cam_side remain available in the original dataset under videos/. The TsFile artifact stores the aligned numeric state/action/time/task data.

Validation

Conversion was validated locally with the project pipeline:

.\.venv\Scripts\python.exe scripts\pipeline.py inspect configs\maandagtest.yaml
.\.venv\Scripts\python.exe scripts\pipeline.py convert configs\maandagtest.yaml
.\.venv\Scripts\python.exe scripts\pipeline.py validate configs\maandagtest.yaml
.\.venv\Scripts\python.exe scripts\verify_tsfile.py .\workdir\maandagtest\tsfile\data\maandagtest_train.tsfile --parquet .\workdir\maandagtest\staged\maandagtest_train.parquet

The readback check opened the TsFile successfully and confirmed that the TsFile metadata row count, query row count, and staged Parquet row count all match at 23,136 rows.

Read Example

from tsfile import TsFileReader

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

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