Datasets:

zjt24
/

alphaloong_20251228

Tags:

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.

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

alphaloong_20251228 TsFile

This dataset contains a TsFile conversion of the Hugging Face dataset EvanLam/alphaloong_20251228.

Modalities: Time-series. The original dataset is a LeRobot v2.1 robot dataset for robot type W1. Source metadata reports 254 episodes, 191,446 frames, 1 task, 1 data chunk, 18 fps, and 762 videos.

Converted Files

data/alphaloong_20251228.tsfile: numeric robot frame data converted to one TsFile table.
meta/: source metadata mirrored from the original dataset, with meta/info.json updated to describe the converted TsFile artifact.

Videos are not included in this repository. They remain in the original Hugging Face dataset under videos/.

Schema

The TsFile table is alphaloong_20251228.

Time: millisecond timestamp synthesized as round(timestamp * 1000).
TAG columns: episode_index, task_index.
FIELD columns: frame_index, sample_index, observation_state_0 through observation_state_16, and action_0 through action_16.

Source vector columns are flattened as scalar FLOAT fields:

observation.state[17] -> observation_state_0..observation_state_16
action[17] -> action_0..action_16

The source timestamp column is not retained as a separate field because it is represented by the TsFile Time column. The source index column is renamed to sample_index. No numeric time-series rows are intentionally dropped.

Validation

The converted TsFile was validated locally:

Staged Parquet rows: 191,446
TsFile metadata rows: 191,446
TsFile readback rows: 191,446
Output file: data/alphaloong_20251228.tsfile

Read Example

from tsfile import TsFileReader

path = "data/alphaloong_20251228.tsfile"
with TsFileReader(path) as reader:
    schemas = reader.get_all_table_schemas()
    print(schemas.keys())

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Total file size:

21.3 MB