Datasets:

THULab
/

lirislab_push_cup_target

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 68, 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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Push Cup Target TsFile

Apache TsFile representation of lirislab/push_cup_target, a LeRobot v2.1 so100 robot dataset.

Source Dataset

Publisher and source file contributor: lirislab
License: Apache-2.0
Task: Push the red cup to the pink target.
Split: train (0:30)
Sampling rate: 30 fps
Episodes: 30; frame rows: 8,528; tasks: 1; source Parquet shards: 30
Source frame layout: data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet
The source card does not provide a paper or BibTeX citation.

TsFile Layout

The numeric rows are stored in data/lirislab_push_cup_target.tsfile as table lirislab_push_cup_target. The meta/ directory contains the source JSON/JSONL metadata needed to describe the dataset; source Parquet files are not placed in meta/.

Time is synthesized as round(timestamp * 1000) in milliseconds and restarts from zero for each episode. The source timestamp is omitted after this mapping because it is represented by Time / 1000. frame_index is preserved and index is renamed to sample_index.

Role	Columns
TIME	`Time` (INT64, milliseconds)
TAG/device	`episode_index`, `task_index`
FIELD	`frame_index`, `sample_index` (INT64)
FIELD	`action[6]` -> `action_0` ... `action_5` (FLOAT)
FIELD	`observation.state[6]` -> `observation_state_0` ... `observation_state_5` (FLOAT)

No rows or action/state dimensions are intentionally removed. The only omitted source column is the redundant timestamp after the millisecond Time mapping.

Videos

The original repository stores 60 MP4 files under videos/:

videos/chunk-000/observation.images.realsense_top/episode_XXXXXX.mp4
videos/chunk-000/observation.images.realsense_side/episode_XXXXXX.mp4

Videos are not copied into this TsFile dataset. Numeric rows remain aligned with the original video frames through episode_index and frame_index.

Read Example

from tsfile import TsFileReader

reader = TsFileReader("data/lirislab_push_cup_target.tsfile")
with reader.query_table(
    "lirislab_push_cup_target",
    ["episode_index", "task_index", "Time", "frame_index", "action_0"],
    batch_size=4096,
) as result:
    print(result.read_arrow_batch().to_pandas().head())
reader.close()

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