282_tartu_a_sponge4

Converted from the Hugging Face dataset LeRobot-worldwide-hackathon/282_Tartu_A-sponge4 to Apache TsFile format.

Source Dataset

• Original dataset: LeRobot-worldwide-hackathon/282_Tartu_A-sponge4
• Authors: LeRobot-worldwide-hackathon
• License: apache-2.0

Conversion notes:

• LeRobot-style SO-101 follower robot dataset converted to TsFile via the generic lerobot converter. Source scale: 71 episodes, 35,438 frames, 1 task, 30 fps.
• Numeric frame data is converted into one TsFile table stored at data/282_tartu_a_sponge4.tsfile.
• Source columns episode_index and task_index are TAG columns; no synthetic episode_id or task_id columns are created. Query a single episode with WHERE episode_index=N.
• Vector columns are flattened: observation.state[6] becomes observation_state_0..observation_state_5; action[6] becomes action_0..action_5. Values are stored as single-precision FLOAT.
• Time is synthesized as round(timestamp * 1000) milliseconds. The source timestamp column is not retained as a separate field because it equals Time / 1000 seconds; frame_index is kept. Sampling rate: 30 fps.
• Source videos are not included in this repository. They remain in the original dataset under videos/: https://huggingface.co/datasets/LeRobot-worldwide-hackathon/282_Tartu_A-sponge4/tree/main/videos
• meta/ is mirrored from the source except that meta/info.json describes the converted TsFile schema and records the original video path separately.

Conversion Notes

• Conversion mode: script
• Time precision: ms
• TsFile data files: ['data/282_tartu_a_sponge4.tsfile']
• Converter: scripts/converters/lerobot.py

Usage

# Read the .tsfile files with the Apache TsFile Java/Python SDK.