THULab/Test_NNNN

Test NNNN TsFile

This dataset is converted from FeiYjf/Test_NNNN to Apache TsFile format.

Modalities: Time-series. The converted repository contains numeric robot state/action trajectories and LeRobot metadata. Camera videos are not included in this TsFile conversion; they remain in the original Hugging Face dataset under its videos/ tree.

Source Dataset

• Original dataset: FeiYjf/Test_NNNN
• License: apache-2.0
• Robot type from source metadata: so100
• Source codebase version from metadata: v2.0
• Source split: train, episodes 0:40
• Sampling rate: 30 fps
• Source scale: 40 episodes, 8,226 frames, 1 task, and 80 source videos.
• Source data layout: data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet
• Source video layout: videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4
• Source card note: created using LeRobot.

Converted Data

• TsFile path: data/test_nnnn.tsfile
• Table name: test_nnnn
• Converted rows: 8,226
• Episodes: 40
• Tasks: 1
• Source frame Parquet files converted: 40
• Output file size: 117,979 bytes
• Time precision: milliseconds

Schema

• Time: integer timestamp in milliseconds, computed as round(timestamp * 1000).
• TAG columns: episode_index, task_index.
• Integer FIELD columns: frame_index, sample_index.
• FLOAT FIELD columns: action_0 through action_5.
• FLOAT FIELD columns: observation_state_0 through observation_state_5.

The six action and observation-state dimensions follow the SO100 joint names from the source metadata:

• main_shoulder_pan
• main_shoulder_lift
• main_elbow_flex
• main_wrist_flex
• main_wrist_roll
• main_gripper

Conversion Notes

• Vector columns are flattened while preserving source names: action becomes action_0..action_5, and observation.state becomes observation_state_0..observation_state_5.
• The source timestamp column is dropped because it is represented by Time / 1000 seconds after conversion.
• The source index column is renamed to sample_index.
• Video features observation.images.left and observation.images.right are omitted from this repository. Use the original dataset videos at FeiYjf/Test_NNNN/videos.
• Source meta/ files are mirrored, with meta/info.json updated to describe the converted TsFile path and schema.

Read Example

from pathlib import Path

tsfile_path = Path("data/test_nnnn.tsfile")
print(tsfile_path)

# Read this file with the Apache TsFile Java/Python SDK or TsFile tools.