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Datasets:
THUgewu
/
20251128_all_merge

Tasks:
Robotics
Size:
10K<n<100K
Tags:
LeRobot
robotics
tsfile
modality:timeseries
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 66, 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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20251128_all_merge

This dataset was converted from GgingGgang/20251128_all_merge to Apache TsFile format.

Dataset Description

The original dataset is a LeRobot-format robot dataset for the PnP task, recorded with the ffw_sg2_rev1 robot.

  • Modalities: Time-series. The original dataset also includes video streams.
  • Robot type: ffw_sg2_rev1
  • Codebase version: LeRobot v2.1
  • Recording frequency: 30 Hz
  • Task: PnP (task_index=0)
  • Source metadata scale: meta/info.json declares 200 episodes, 112,060 frames, and 600 source videos with split train (0:199).
  • Downloadable repository contents at conversion time: 100 episode Parquet files (episode_000000 through episode_000099) and 300 MP4 files were present in the repository file listing.
  • Converted scale: 100 episodes and 56,030 rows from the downloadable Parquet files.
  • Source data path: data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet
  • Source video path: videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4

Source Dataset

TsFile Conversion

The numeric robot state/action/time/task data was converted into one TsFile:

data/dataset_20251128_all_merge.tsfile

Conversion details:

  • The 100 downloadable source episodes are stored in one TsFile table named dataset_20251128_all_merge.
  • episode_index and task_index are TsFile TAG columns. Query a single episode with WHERE episode_index=N.
  • Time = round(timestamp * 1000) in milliseconds. The source timestamp column is not retained because it equals Time / 1000 seconds.
  • frame_index is kept. Source index is renamed to sample_index.
  • Vector columns are flattened by preserving the source column name, replacing . with _, and appending the element index.
  • Values from flattened vector columns are stored as single-precision FLOAT.
  • The converted TsFile contains 56,030 rows and 49 columns including Time, TAG columns, and FIELD measurements.

Flattened vector features:

  • observation.state[22] -> observation_state_0..observation_state_21
  • action[22] -> action_0..action_21

Schema roles:

  • TIME: Time in milliseconds.
  • TAG: episode_index, task_index.
  • FIELD: frame_index, sample_index, and the flattened robot observation/action measurements.

Dropped or omitted source fields:

  • timestamp is dropped because it is represented by Time.
  • observation.images.cam_head, observation.images.cam_wrist_left, and observation.images.cam_wrist_right are video features and are not converted into TsFile columns.
  • MP4 videos are not included in this repository. They remain in the original dataset under videos/.

The mirrored meta/info.json records the original video path and includes a tsfile_conversion section describing the converted schema, row count, TAG columns, dropped timestamp column, omitted video features, and time mapping.

Read Example 

from tsfile import TsFileReader

path = "data/dataset_20251128_all_merge.tsfile"
reader = TsFileReader(path)
table = reader.get_all_table_schemas()["dataset_20251128_all_merge"]
columns = [c.get_column_name() for c in table.get_columns()]
print(columns[:10])
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