Datasets:

zjt24
/

so100_lego_2cam

Tasks:

Robotics

Tags:

Dataset card Files Files and versions

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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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so100_lego_2cam

This dataset is a TsFile conversion of the LeRobot dataset paszea/so100_lego_2cam. The source dataset was created using LeRobot and contains an SO-100 robot task with two camera streams.

Modalities: Time-series.

Source Dataset

Original dataset: paszea/so100_lego_2cam
License: not specified in the source dataset card
Codebase version: v2.1
Robot type: so100
Split: train 0:40
Scale: 40 episodes, 88,148 frames, 1 task, 1 chunk
Sampling rate: 30 fps
Source frame 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

Task text from meta/tasks.jsonl:

Grap lego blocks and put them in the plate.

Converted Data

TsFile path: data/so100_lego_2cam.tsfile
Table name: so100_lego_2cam
Rows: 88,148
TAG columns: episode_index, task_index
Time precision: milliseconds
Time mapping: Time = round(timestamp * 1000)
Mirrored metadata: meta/info.json, meta/tasks.jsonl, meta/episodes.jsonl, meta/episodes_stats.jsonl

meta/info.json has been updated so that data_path points to data/so100_lego_2cam.tsfile and includes a tsfile_conversion object documenting the source path, converted path, TAG columns, row count, flattened features, and video policy.

Schema

Time is the TsFile timestamp column. The original episode_index and task_index columns are stored as TAG columns.

Scalar FIELD columns:

frame_index
sample_index converted from source index

Flattened FLOAT FIELD groups:

action_0 through action_5 from source action[6]
observation_state_0 through observation_state_5 from source observation.state[6]

Conversion Notes

The source timestamp column is used only to synthesize Time and is not retained as a separate FIELD because it is redundant with Time / 1000 seconds.
Source index is renamed to sample_index.
No numeric time-series rows are intentionally dropped.
Videos are not included in this converted repository. The original dataset contains 80 H.264 MP4 videos across two video features: observation.images.top and observation.images.front.
Source videos remain available in the original dataset under videos/.

Usage

from tsfile import TsFileReader

reader = TsFileReader("data/so100_lego_2cam.tsfile")
tables = reader.get_all_table_schemas()
print(tables.keys())

Read the .tsfile file with the Apache TsFile SDK or compatible tooling.

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Total file size:

1.37 MB