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Datasets:
azithromycin
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KuphDev_place_green_duck_pruned_3rd

Tasks:
Robotics
Modalities:
Time-series
Tabular
Size:
100K<n<1M
Tags:
tsfile
timeseries
tabular
License:
Dataset card Files
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Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "tsfile/tsfile_py_cpp.pyx", line 567, in tsfile.tsfile_py_cpp.tsfile_reader_new_c
              tsfile.exceptions.FileOpenError: 28: 
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 271, in _split_generators
                  scan = self._scan_metadata(all_files)
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 318, in _scan_metadata
                  with self._open_reader(file) as reader:
                       ~~~~~~~~~~~~~~~~~^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 742, in _open_reader
                  return TsFileReader(file)
                File "tsfile/tsfile_reader.pyx", line 323, in tsfile.tsfile_reader.TsFileReaderPy.__init__
              SystemError: <class '_weakrefset.WeakSet'> returned a result with an exception set
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 71, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ~~~~~~~~~~~~~~~~~~~~~~~^
                      path=dataset,
                      ^^^^^^^^^^^^^
                      config_name=config,
                      ^^^^^^^^^^^^^^^^^^^
                      token=hf_token,
                      ^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                      path,
                  ...<6 lines>...
                      **config_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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Place Green Duck Pruned 3rd TsFile

This dataset is an Apache TsFile conversion of KuphDev/place_green_duck_pruned_3rd, a LeRobot v3.0 SO follower manipulation dataset for the task "Place green duck on target".

Modalities: Time-series. The converted repository contains numeric robot observations, actions, frame timing, and episode/task tags. The original camera videos remain in the source Hugging Face dataset.

Source Dataset and Author

  • Source dataset: KuphDev/place_green_duck_pruned_3rd
  • Repository owner and uploader: KuphDev
  • Author note: the source card provides no separate author list, so this card attributes the verifiable repository owner/uploader and does not invent additional authors.
  • License: Apache-2.0
  • Robot type: so_follower
  • LeRobot codebase version: v3.0
  • Split: train
  • Scale: 182 episodes, 145,378 frames, 1 task, 30 fps
  • Source frame files: 39 Parquet shards under data/chunk-000/
  • Source frame layout: data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet
  • Source video layout: videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4
  • Task: Place green duck on target. Paper/citation: not supplied by the source dataset card

The source meta/tasks.parquet maps task_index = 0 to Place green duck on target.

TsFile Schema

Time is synthesized as round(timestamp * 1000) milliseconds and restarts from 0 for each episode.

TAG columns:

  • episode_index
  • task_index

Scalar FIELD columns:

  • frame_index
  • sample_index, renamed from source column index

Flattened FLOAT FIELD groups:

  • action[6] -> action_0 ... action_5
  • observation.state[6] -> observation_state_0 ... observation_state_5

For both vectors, the six source dimensions are, in order: shoulder_pan.pos, shoulder_lift.pos, elbow_flex.pos, wrist_flex.pos, wrist_roll.pos, and gripper.pos.

Conversion Notes

  • The shared config-driven lerobot converter is used; the dataset-specific convert_kuphdev_place_green_duck_pruned_3rd.py script is a local orchestration and validation entry point.
  • The train split is merged into one table-model TsFile. Filter by episode_index and task_index to select an episode or task.
  • Vector columns are flattened to scalar TsFile fields. Full source prefixes are preserved, with . replaced by _.
  • The source timestamp column is dropped after Time synthesis because it is redundant with Time / 1000 seconds.
  • Source index is renamed to sample_index; frame_index is retained.
  • All 39 source Parquet shards share the same schema. No numeric row, episode, task index, action dimension, or observation-state dimension is dropped.

Videos

Videos are not duplicated in this converted repository. The single frame-aligned top-camera stream remains in the original dataset:

The source path template is videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4. Source metadata describes 1280x720 H.264 video at 30 fps without audio. The remote repository contains 39 MP4 files (288,387,551 bytes), from file-000.mp4 through file-038.mp4. Numeric rows remain aligned with the original videos through episode_index, frame_index, and the source episode metadata under meta/episodes/.

Usage 

from tsfile import TsFileReader

path = "data/kuphdev_place_green_duck_pruned_3rd_train.tsfile"
reader = TsFileReader(path)
table_name = "kuphdev_place_green_duck_pruned_3rd_train"
columns = [
    "episode_index",
    "task_index",
    "frame_index",
    "sample_index",
    "action_0",
    "observation_state_0",
]

with reader.query_table(table_name, columns, batch_size=65536) as result:
    batch = result.read_arrow_batch()
    print(batch.to_pandas().head())
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