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Datasets:
zjt24
/
Test_NNNN

Tasks:
Robotics
Tags:
tsfile
time-series
robotics
lerobot
so100
tutorial
License:
Dataset card Files
xet
 Community
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.

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

Test NNNN TsFile

This dataset is converted from FeiYjf/Test_NNNN to Apache TsFile format.

Modalities: Time-series. The converted repository contains numeric robot state/action trajectories and LeRobot metadata. Camera videos are not included in this TsFile conversion; they remain in the original Hugging Face dataset under its videos/ tree.

Source Dataset

  • Original dataset: FeiYjf/Test_NNNN
  • License: apache-2.0
  • Robot type from source metadata: so100
  • Source codebase version from metadata: v2.0
  • Source split: train, episodes 0:40
  • Sampling rate: 30 fps
  • Source scale: 40 episodes, 8,226 frames, 1 task, and 80 source videos.
  • Source data layout: data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet
  • Source video layout: videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4
  • Source card note: created using LeRobot.

Converted Data

  • TsFile path: data/test_nnnn.tsfile
  • Table name: test_nnnn
  • Converted rows: 8,226
  • Episodes: 40
  • Tasks: 1
  • Source frame Parquet files converted: 40
  • Output file size: 117,979 bytes
  • Time precision: milliseconds

Schema

  • Time: integer timestamp in milliseconds, computed as round(timestamp * 1000).
  • TAG columns: episode_index, task_index.
  • Integer FIELD columns: frame_index, sample_index.
  • FLOAT FIELD columns: action_0 through action_5.
  • FLOAT FIELD columns: observation_state_0 through observation_state_5.

The six action and observation-state dimensions follow the SO100 joint names from the source metadata:

  • main_shoulder_pan
  • main_shoulder_lift
  • main_elbow_flex
  • main_wrist_flex
  • main_wrist_roll
  • main_gripper

Conversion Notes

  • Vector columns are flattened while preserving source names: action becomes action_0..action_5, and observation.state becomes observation_state_0..observation_state_5.
  • The source timestamp column is dropped because it is represented by Time / 1000 seconds after conversion.
  • The source index column is renamed to sample_index.
  • Video features observation.images.left and observation.images.right are omitted from this repository. Use the original dataset videos at FeiYjf/Test_NNNN/videos.
  • Source meta/ files are mirrored, with meta/info.json updated to describe the converted TsFile path and schema.

Read Example 

from pathlib import Path

tsfile_path = Path("data/test_nnnn.tsfile")
print(tsfile_path)

# Read this file with the Apache TsFile Java/Python SDK or TsFile tools.
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