Datasets:

jzpeng
/

Itylso100_test2

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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Ityl SO100 Test2 TsFile

This dataset is an Apache TsFile conversion of Ityl/so100_test2, a LeRobot SO100 manipulation dataset. The source dataset was created using LeRobot.

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

Source Dataset

Source: Ityl/so100_test2
Publisher: Ityl
License: Apache-2.0
Robot type: so100
LeRobot codebase version: v2.0
Split: 30 train episodes (0:30)
Scale: 11,447 frames, 30 episodes, 1 task, 30 fps
Task: First serious test
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

Original Videos

The 60 source videos are not copied into this TsFile repository. They remain available in the original dataset under videos/. The repository contains one chunk-000 directory and two camera streams:

Side camera: videos/chunk-000/observation.images.realsense_side
Top camera: videos/chunk-000/observation.images.realsense_top

Each stream stores one MP4 per episode using the path pattern:

videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4

Use episode_index and frame_index from the TsFile to align numeric rows with the corresponding original video and frame.

Converted Files

TsFile: data/tv_dataset_5.tsfile
Table: tv_dataset_5
Rows: 11,447
Episodes: 30
Tasks: 1
Source Parquet files merged: 30
Time precision: milliseconds
Metadata: meta/ is mirrored from the source, with meta/info.json updated for the TsFile artifact and original video links.

Schema

Time is synthesized as round(timestamp * 1000) milliseconds and restarts from zero in 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

The six dimensions, in source order, are main_shoulder_pan, main_shoulder_lift, main_elbow_flex, main_wrist_flex, main_wrist_roll, and main_gripper.

Conversion Notes

All 30 source episode Parquet files are 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. Source column prefixes are preserved, with . replaced by _.
Source column timestamp is dropped after Time synthesis because it is redundant with Time / 1000 seconds.
Source column index is renamed to sample_index.
No numeric rows, episodes, tasks, state dimensions, or action dimensions are dropped.
Camera pixels are not stored in TsFile. The original videos are linked above.

Validation

The converted TsFile was read back with the Apache TsFile Java SDK. Its table schema contains 16 non-time columns (2 TAG and 14 FIELD columns), and query readback matched the staged Parquet at 11,447 rows.

Usage

from tsfile import TsFileReader

path = "data/tv_dataset_5.tsfile"
reader = TsFileReader(path)

schemas = reader.get_all_table_schemas()
table_name = "tv_dataset_5"
columns = [
    column.get_column_name()
    for column in schemas[table_name].get_columns()
    if column.get_column_name() != "Time"
]

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

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Total file size:

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