Datasets:

zjt24
/

ny_insert_connector_viktor_crop

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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ny_insert_connector_viktor_crop

This dataset is an Apache TsFile conversion of the Hugging Face dataset 1g0rrr/ny_insert_connector_viktor_crop. The source dataset was created with LeRobot.

Modalities: Time-series. The original repository also contains synchronized video streams; videos are not included in this converted repository.

Source Dataset

Original dataset: 1g0rrr/ny_insert_connector_viktor_crop
Source license: apache-2.0
LeRobot codebase version: v2.1
Robot type: sam_evt2
Task name: ny_insert_connector
Task: Insert connector
Split: train (0:26)
Source scale from meta/info.json: 26 episodes, 14,948 frames, 1 task
Source video count from meta/info.json: 104
Sampling rate: 60 fps
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

Episode lengths range from 449 to 718 frames, with 14,948 frames in total.

Converted Files

TsFile: data/ny_insert_connector_viktor_crop.tsfile
Converted rows: 14,948
Episodes: 26
TsFile table: ny_insert_connector_viktor_crop
Time precision: milliseconds
TAG columns: episode_index, task_index
TsFile size: 709,196 bytes

Schema

Time is synthesized as round(timestamp * 1000) in milliseconds. The source timestamp column is dropped because it is redundant with Time / 1000 seconds. At 60 fps, consecutive frames are spaced by about 17 ms.

TAG columns:

episode_index
task_index

FIELD columns:

frame_index
sample_index (renamed from source index)
action_0 to action_13
observation_state_0 to observation_state_13

Vector features are flattened by preserving the source feature name and replacing . with _. For example, observation.state becomes observation_state_0 to observation_state_13.

The 14-element action and observation.state vectors use the source joint order: left_shoulder_pan.pos, left_shoulder_lift.pos, left_elbow_flex.pos, left_wrist_flex.pos, left_wrist_side.pos, left_wrist_roll.pos, right_shoulder_pan.pos, right_shoulder_lift.pos, right_elbow_flex.pos, right_wrist_flex.pos, right_wrist_side.pos, right_wrist_roll.pos, left_gripper.pos, and right_gripper.pos.

Video Policy

The source video features are not converted into TsFile and are not uploaded here:

observation.images.wrist_left
observation.images.wrist_right
observation.images.front
observation.images.side

Use the original dataset for videos: 1g0rrr/ny_insert_connector_viktor_crop/videos.

Metadata

The source meta/ files are mirrored in this repository. meta/info.json is updated so data_path points to data/ny_insert_connector_viktor_crop.tsfile and includes a tsfile_conversion object documenting the Time mapping, TAG columns, flattened features, dropped fields, and video policy.

Validation

The converted TsFile was validated with the project pipeline and read back using the TsFile Python SDK:

staged Parquet rows: 14,948
TsFile metadata rows: 14,948
TsFile query rows: 14,948
TsFile size: 709,196 bytes

Usage

from tsfile import TsFileReader

path = "data/ny_insert_connector_viktor_crop.tsfile"
with TsFileReader(path) as reader:
    schemas = reader.get_all_table_schemas()
    print(schemas.keys())

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