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Datasets:
THUgewu
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eval1_chengming

Modalities:
Time-series
Size:
10K<n<100K
Tags:
robotics
LeRobot
SO-101
imitation-learning
tsfile
modality:timeseries
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THUgewu commited on
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Add TsFile (converted from robot-learning-group47/eval1_chengming)

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  1. .gitattributes +1 -0
  2. README.md +92 -0
  3. data/eval1_chengming.tsfile +3 -0
  4. meta/episodes/chunk-000/file-000.parquet +3 -0
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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/eval1_chengming.tsfile filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,92 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ pretty_name: eval1_chengming TsFile
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+ tags:
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+ - TsFile
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+ - time-series
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+ - robotics
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+ - LeRobot
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+ - SO-101
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+ - imitation-learning
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+ modality: timeseries
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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/eval1_chengming.tsfile
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+ ---
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+
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+ # eval1_chengming
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+
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+ This dataset was converted from
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+ [`robot-learning-group47/eval1_chengming`](https://huggingface.co/datasets/robot-learning-group47/eval1_chengming)
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+ to Apache TsFile format.
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+
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+ Modalities: Time-series. The original dataset also contains a front-camera
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+ video stream, which remains in the source Hugging Face dataset and is not
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+ included in this converted repository.
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+
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+ ## Source Dataset
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+
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+ - Original dataset: [`robot-learning-group47/eval1_chengming`](https://huggingface.co/datasets/robot-learning-group47/eval1_chengming)
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+ - Source format: LeRobot v3 parquet frames with metadata and one front-camera video stream
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+ - Robot type: `so_follower`
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+ - Split: `train`
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+ - Episodes: 60
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+ - Frames / TsFile rows: 13,408
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+ - Tasks: 3
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+ - Sampling rate: 15 fps
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+ - License metadata: not provided by the source dataset card
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+ - Original data path: `data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet`
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+ - Original video path: `videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4`
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+
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+ The episode metadata names three task variants: put the banana in the red,
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+ green, or blue colored bowl.
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+
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+ ## Files
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+
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+ - `data/eval1_chengming.tsfile`: converted numeric time-series table
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+ - `meta/`: source metadata mirrored from the original dataset, with
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+ `meta/info.json` rewritten to describe the converted TsFile layout
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+
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+ Videos are not included in this repository. The original camera video stream
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+ `observation.images.front` remains in the source dataset under
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+ [`videos/`](https://huggingface.co/datasets/robot-learning-group47/eval1_chengming/tree/main/videos).
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+
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+ ## Schema
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+
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+ The TsFile table name is `eval1_chengming`.
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+
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+ - `Time`: integer timestamp in milliseconds, synthesized as `round(timestamp * 1000)`
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+ - TAG columns: `episode_index`, `task_index`
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+ - FIELD columns: `frame_index`, `sample_index`, `action_0..action_5`,
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+ `observation_state_0..observation_state_5`
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+
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+ The six action and observation-state dimensions use the original LeRobot joint
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+ order: `shoulder_pan.pos`, `shoulder_lift.pos`, `elbow_flex.pos`,
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+ `wrist_flex.pos`, `wrist_roll.pos`, and `gripper.pos`.
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+
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+ ## Conversion Notes
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+
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+ - Converted with the generic `lerobot` converter in the HuggingFace-to-TsFile
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+ pipeline.
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+ - All 60 episodes are stored in one TsFile. Use `episode_index` and
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+ `task_index` as TAG filters when querying.
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+ - Source `action[6]` was flattened to `action_0..action_5` as FLOAT fields.
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+ - Source `observation.state[6]` was flattened to `observation_state_0..5` as
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+ FLOAT fields.
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+ - Source `index` was renamed to `sample_index`.
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+ - Source `timestamp` is not retained as a separate field because the same
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+ information is represented by `Time / 1000` seconds.
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+ - Source video field `observation.images.front` is omitted from this TsFile
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+ conversion and remains available in the original dataset.
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+ - No rows were dropped.
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+
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+ ## Minimal Read Example
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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/eval1_chengming.tsfile")
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+ schemas = reader.get_all_table_schemas()
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+ print(schemas.keys())
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+ ```
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