Datasets:

jzpeng
/

devikaskumar_test_v4l2_fix

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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devikaskumar/test_v4l2_fix (TsFile)

This repository is an Apache TsFile conversion of the LeRobot dataset devikaskumar/test_v4l2_fix.

Modalities: Time-series, tabular.

Source dataset

Author: devikaskumar
License: Apache-2.0
Robot type: so101_follower
LeRobot codebase: v2.1
Task: test (one task, task_index=0)
Split: train (0:52 in the source metadata)
Scale: 52 episodes, 15,702 frames, one chunk, 30 fps
Source frame files: data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet

The original dataset contains 104 camera videos (two streams per episode). The videos are not copied into this TsFile dataset. They remain available in the source repository under videos/, with files at videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4. The two source video features are observation.images.webcam and observation.images.realsense; both are 480×640 RGB, AV1, 30 fps, with no audio.

Converted files

TsFile: data/devikaskumar_test_v4l2_fix.tsfile
Table: devikaskumar_test_v4l2_fix
Rows: 15,702
Devices: 52 episode/task tag combinations
TsFile size: approximately 386 KB (the source Parquet shards total approximately 913 KB)
Metadata: meta/ is retained from the source; meta/info.json describes the converted TsFile and records the source/video mapping in tsfile_conversion.

Schema

Time is round(timestamp * 1000) in milliseconds and restarts at zero for each episode. The redundant source timestamp field is dropped.

TAG columns (the TsFile table/device dimensions):

episode_index (INT64 source value, stored as a TAG)
task_index (INT64 source value, stored as a TAG)

FIELD columns:

frame_index (INT64)
sample_index (INT64), renamed from source index
action_0 … action_5 (FLOAT), flattened from action[6]
observation_state_0 … observation_state_5 (FLOAT), flattened from observation.state[6] (. becomes _)

Conversion and compression

The generic LeRobot converter was run in merged mode, so all source episode shards are stored in one table-model TsFile. Query an episode by filtering the episode_index and task_index TAG columns. Numeric encoding follows the compact profile requested for this conversion: FLOAT/DOUBLE use GORILLA, INT32/INT64 and Time use TS_2DIFF, and physical columns use LZ4.

No source rows or numeric fields are intentionally removed except the redundant timestamp field. The video fields are omitted from TsFile because videos are external binary streams; their source paths and frame alignment metadata are recorded in meta/info.json.

Validation

The generated TsFile was opened and queried with the Apache TsFile Python SDK. The authoritative TsFile metadata row count and staged Parquet row count both equal 15,702; query readback also returned 15,702 rows across 52 devices.

Usage

from tsfile import TsFileReader

path = "data/devikaskumar_test_v4l2_fix.tsfile"
reader = TsFileReader(path)
table = reader.get_all_table_schemas()["devikaskumar_test_v4l2_fix"]
columns = [
    c.get_column_name()
    for c in table.get_columns()
    if c.get_column_name() != "Time"
]

with reader.query_table(
    "devikaskumar_test_v4l2_fix", columns, batch_size=65536
) as result:
    batch = result.read_arrow_batch()

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Total file size:

516 kB