README.md

metadata

license: apache-2.0
task_categories:
  - robotics
tags:
  - LeRobot
  - TsFile
  - time-series
  - robotics
  - koch
  - modality:timeseries
  - format:tsfile
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/jackvial_koch_test_chunk_v2.tsfile
      - split: train_legacy
        path: data/jackvial_koch_test_train_legacy.tsfile

koch_test

This dataset converts all non-video Parquet time-series data found in jackvial/koch_test to Apache TsFile format.

Modalities: Time-series. The original Hugging Face dataset also includes video streams; videos are not copied into this TsFile repository.

Dataset Description

The source dataset was created using LeRobot. The current LeRobot metadata describes a Koch robot dataset with the task test_description.

• Original dataset: jackvial/koch_test
• Robot type: koch
• Task: test_description
• Sampling rate: 30 fps
• License: apache-2.0
• Current LeRobot metadata: v2.0, 2 episodes, 1,192 frames, 1 task
• Legacy Parquet layout also present: 3 episodes, 880 rows
• Source video path: videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4

Source Data Audit

The source repository contains two distinct non-video Parquet layouts. They are not duplicates: their row counts, episode counts, and schemas differ. Both are converted.

Source layout	Source files	Episodes	Rows	Converted file
LeRobot v2 chunk layout	data/chunk-000/episode_000000.parquet, data/chunk-000/episode_000001.parquet	2	1,192	data/jackvial_koch_test_chunk_v2.tsfile
Legacy train layout	data/train-00000-of-00001.parquet	3	880	data/jackvial_koch_test_train_legacy.tsfile

Video files are not converted. Source metadata directories meta/ and meta_data/ are mirrored for traceability.

Converted Data

jackvial_koch_test_chunk_v2

• Output file: data/jackvial_koch_test_chunk_v2.tsfile
• Source rows: 1,192
• Table name: jackvial_koch_test_chunk_v2
• TAG columns: episode_index, task_index
• FIELD columns: frame_index, sample_index, next_reward, action_0..action_5, observation_state_0..observation_state_5
• Time: Time = round(timestamp * 1000) milliseconds, restarting per episode

jackvial_koch_test_train_legacy

• Output file: data/jackvial_koch_test_train_legacy.tsfile
• Source rows: 880
• Table name: jackvial_koch_test_train_legacy
• TAG column: episode_index
• FIELD columns: frame_index, sample_index, next_done, observation_state_0..observation_state_5, action_0..action_5
• Time: Time = round(timestamp * 1000) milliseconds, restarting per episode

Conversion Notes

• timestamp is converted to the TsFile Time column and is not retained as a separate field.
• index is renamed to sample_index.
• Source column names containing . are normalized by replacing . with _. For example, next.reward becomes next_reward.
• Vector columns are flattened by preserving the source column name with . replaced by _, then appending the element index.
• action[6] is flattened to action_0..action_5.
• observation.state[6] is flattened to observation_state_0..observation_state_5.
• The legacy train column observation.images.laptop is a video path/timestamp struct and is omitted from TsFile. The corresponding videos remain in the original dataset.
• Aside from the redundant timestamp column and the video path struct noted above, no numeric source columns or rows are intentionally dropped.

Videos

Videos are not included in this TsFile repository. They remain in the original dataset under videos/.

Use episode_index, frame_index, and Time to align TsFile rows with the original video frames where applicable.

Metadata

The uploaded metadata includes:

meta/
meta_data/
tsfile_conversion.json

tsfile_conversion.json records the source files, row counts, episode coverage, converted TsFile paths, dropped timestamp handling, and video policy.

Usage

Read the TsFile files with the Apache TsFile Java or Python SDK:

chunk_v2_path = "data/jackvial_koch_test_chunk_v2.tsfile"
legacy_path = "data/jackvial_koch_test_train_legacy.tsfile"

# Example SQL idea:
# SELECT * FROM jackvial_koch_test_chunk_v2 WHERE episode_index = 0
# SELECT * FROM jackvial_koch_test_train_legacy WHERE episode_index = 0