Datasets:

zjt24
/

mug_hang_mp_fixed

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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mug_hang_mp_fixed

This repository contains an Apache TsFile conversion of the Hugging Face dataset younghyopark/mug_hang_mp_fixed, a LeRobot-style robotics dataset.

Source Dataset

Original dataset: younghyopark/mug_hang_mp_fixed
Author: younghyopark
License: apache-2.0
Robot type: DualPanda
Task: pick something up
Split: train, episodes 0:10
Scale: 10 episodes, 11,780 frames, 1 task, 50 fps
Source data path: data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet
Source videos: none (total_videos=0, video_path=null)

Converted Data

TsFile path: data/mug_hang_mp_fixed.tsfile
Table name: mug_hang_mp_fixed
Rows: 11,780
Columns in staged table: 655
Time precision: milliseconds
TAG columns: episode_index, task_index
FIELD columns: frame_index, sample_index, robot observations, environment state, and action fields
Mirrored metadata: meta/ is included, with meta/info.json updated to describe the converted TsFile schema

Conversion Notes

Time is synthesized as round(timestamp * 1000) in milliseconds. The source timestamp column is not retained as a separate field because it is equivalent to Time / 1000 seconds. The source index column is renamed to sample_index; frame_index is retained.

Vector and matrix-like source columns are flattened to scalar TsFile fields. The full source column name is preserved by replacing . with _ and appending the flattened element index, for example observation.state becomes observation_state_0 through observation_state_29. Matrix fields such as *.mat are flattened in row-major order.

No videos are uploaded in this converted repository because the source metadata declares no videos.

Minimal Read Example

from tsfile import TsFileReader

path = "data/mug_hang_mp_fixed.tsfile"
reader = TsFileReader(path)
schemas = reader.get_all_table_schemas()
print(schemas.keys())

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