README.md

metadata

license: apache-2.0
authors:
  - Quinten Noens
task_categories:
  - robotics
tags:
  - tsfile
  - timeseries
  - tabular
  - robotics
  - lerobot
modality:
  - timeseries
  - tabular
pretty_name: Block2Target TsFile
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/qnoens_block2target.tsfile
size_categories:
  - 10K<n<100K

Block2Target TsFile

Apache TsFile conversion of qnoens/block2target, a LeRobot v2.1 robotics dataset.

Source and provenance

• Original dataset: qnoens/block2target
• Inspected source revision: 70f0d984883d25eba7837c258c18d721f61315fb
• Original author/uploader: Quinten Noens (qnoens)
• License: Apache-2.0
• Tasks: move a block to the blue rectangle, green circle, pink pentagon, or orange triangle
• Split: train: 0:200; sampling rate: 10 fps
• Coverage: 200 episodes, 23,071 frame rows, 4 tasks, 200 Parquet shards
• Source frame layout: data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet

The source card provides no paper, homepage, or completed BibTeX citation.

Converted files

• TsFile: data/qnoens_block2target.tsfile (2,437,996 bytes)
• Table: qnoens_block2target; rows: 23,071; devices/episodes: 200
• Metadata: source meta/ is mirrored, with meta/info.json updated for the TsFile artifact.

Schema and conversion

Time = round(timestamp * 1000) as INT64 milliseconds, restarting at zero per episode. Source timestamp is dropped as redundant with Time / 1000. frame_index is retained and index is renamed to sample_index.

TAG/device columns: episode_index, task_index.

FIELD columns: next_reward FLOAT, next_success BOOLEAN, seed/frame_index/sample_index INT64, gripper_state FLOAT; plus flattened state[7], robot_pose[6], joints[6], and action[7] scalar FLOAT fields. No rows or numeric vector dimensions are dropped.

Actual storage profile: Time TS_2DIFF + LZ4; FLOAT/DOUBLE GORILLA + LZ4; INT32/INT64 TS_2DIFF + LZ4; BOOLEAN RLE + LZ4; TAGs use TsFile table-model device/tag storage.

Videos (not included)

The original repository contains 800 MP4 files (200 per stream; 367,041,730 bytes) under videos/: videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4. Streams are scene_image, scene_image_original, wrist_image, and wrist_image_original. Videos are not copied or uploaded; episode_index and frame_index preserve frame alignment.

Validation

Local validation: PASS. Source/staged/TsFile rows: 23,071 / 23,071 / 23,071; duplicate device-Time keys: 0; monotonicity violations: 0; TsFile/source Parquet size ratio: 53.53%. The Apache TsFile Java reader queried every row and inspected actual codec metadata.

Minimal read example

from tsfile import TsFileReader
reader = TsFileReader("data/qnoens_block2target.tsfile")
with reader.query_table("qnoens_block2target", ["episode_index", "task_index", "Time", "frame_index", "next_success", "action_0"], batch_size=65536) as result:
    print(result.read_arrow_batch().to_pandas().head())
reader.close()

Please cite the original Hugging Face dataset and Quinten Noens (qnoens).