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Commit
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Add TsFile (converted from axiboai/piper_stacking_realigned_v2)

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.gitattributes CHANGED
@@ -58,3 +58,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
 
 
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
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+ data/piper_stacking_realigned_v2.tsfile filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,84 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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+ task_categories:
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+ - robotics
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+ tags:
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+ - lerobot
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+ - robotics
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+ - tsfile
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+ - time-series
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+ - modality:timeseries
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+ modality: timeseries
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+ pretty_name: Piper Stacking Realigned V2 (TsFile)
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: train
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+ path: data/piper_stacking_realigned_v2.tsfile
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+ ---
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+
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+ # Piper Stacking Realigned V2 (TsFile)
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+
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+ This is a time-series conversion of [`axiboai/piper_stacking_realigned_v2`](https://huggingface.co/datasets/axiboai/piper_stacking_realigned_v2), a LeRobot v2.1 robotics dataset containing cube-stacking demonstrations from a bimanual Piper robot.
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+
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+ - **Modalities:** Time-series
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+ - **Robot:** `piperx_bimanual`
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+ - **Source task labels:** `stack red cube and stack on blue cube` and `stack red cube on blue cube`
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+ - **License:** Apache License 2.0
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+
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+ ## Dataset scale
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+
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+ | Split | Episodes | Frames / TsFile rows | Sampling rate | Tasks | Source Parquets | Final TsFiles |
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+ |---|---:|---:|---:|---:|---:|---:|
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+ | `train` | 111 | 38,531 | 30 fps | 2 | 111 | 1 |
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+
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+ All numeric frame data is merged into exactly one file, [`data/piper_stacking_realigned_v2.tsfile`](data/piper_stacking_realigned_v2.tsfile), containing the table `piper_stacking_realigned_v2`. The file is approximately 1.79 MB.
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+
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+ ## TsFile schema
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+
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+ | Column | TsFile role | Type | Description |
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+ |---|---|---|---|
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+ | `Time` | TIME | `INT64` | Milliseconds, computed as `Time = round(timestamp * 1000)`; time restarts within each episode. |
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+ | `episode_index` | TAG | `INT64` | Original episode identifier (`0` through `110`). |
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+ | `task_index` | TAG | `INT64` | Original task identifier (`0` or `1`). |
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+ | `frame_index` | FIELD | `INT64` | Original frame position within the episode. |
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+ | `sample_index` | FIELD | `INT64` | Original global `index`, renamed to avoid ambiguity. |
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+ | `observation_state_0` ... `observation_state_13` | FIELD | `FLOAT` (`float32`) | Complete 14-element source `observation.state` vector for the left and right joints and grippers. |
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+ | `action_0` ... `action_13` | FIELD | `FLOAT` (`float32`) | Complete 14-element source `action` vector for the left and right joints and grippers. |
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+
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+ The source `timestamp` column is dropped after generating `Time` because it is the redundant seconds representation of the same time coordinate (`Time / 1000`). No rows or other numeric source columns are dropped. Both vectors are flattened without truncation, `index` is renamed, and the episode, task, and frame identifiers remain available.
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+
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+ ## Videos and metadata
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+
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+ The source contains three 480 x 640 RGB AV1 camera streams: `observation.images.cam_front`, `observation.images.cam_left_wrist`, and `observation.images.cam_right_wrist`. Their 333 MP4 files are intentionally omitted from this time-series repository and remain in the original dataset's [`videos/` tree](https://huggingface.co/datasets/axiboai/piper_stacking_realigned_v2/tree/main/videos).
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+
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+ Numeric rows retain `episode_index`, `frame_index`, and the 30 fps time coordinate, so they remain aligned with the corresponding source video frames. The source `meta/` files are mirrored, except that `meta/info.json` is rewritten to describe the single TsFile path, TIME/TAG/FIELD schema, flattened and renamed features, omitted video features, and source-video alignment. No `videos/` directory is included here.
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+
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+ ## Reading the data
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+
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+ Install the Apache TsFile Python package, then query the actual table. `query_table` returns the time column automatically in addition to the requested TAG and FIELD columns.
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+
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+ ```python
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+ from tsfile import TsFileReader
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+
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+ reader = TsFileReader("data/piper_stacking_realigned_v2.tsfile")
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+ columns = [
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+ "episode_index",
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+ "task_index",
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+ "frame_index",
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+ "sample_index",
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+ "observation_state_0",
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+ "action_0",
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+ ]
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+
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+ with reader.query_table(
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+ "piper_stacking_realigned_v2", columns, batch_size=65536
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+ ) as result:
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+ batch = result.read_arrow_batch()
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+ if batch is not None:
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+ print(batch.to_pandas().head())
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+ ```
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+
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+ ## Source and citation
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+
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+ The source dataset was created with [LeRobot](https://github.com/huggingface/lerobot) and is published at [`axiboai/piper_stacking_realigned_v2`](https://huggingface.co/datasets/axiboai/piper_stacking_realigned_v2). Its dataset card does not provide a paper or BibTeX citation; consult the source repository for any future citation updates.
data/piper_stacking_realigned_v2.tsfile ADDED
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+ size 1794289
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+ {
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+ "codebase_version": "v2.1",
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+ "robot_type": "piperx_bimanual",
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+ "total_episodes": 111,
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+ "splits": {
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+ "train": "0:111"
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+ },
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+ "data_path": "data/piper_stacking_realigned_v2.tsfile",
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+ "unit": "ms"
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meta/tasks.jsonl ADDED
@@ -0,0 +1,2 @@
 
 
 
1
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2
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