Datasets:

jzpeng
/

so101_chess_test5

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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SO101 Chess Test 5 (TsFile)

Converted from zacapa/SO101_chess_test5 at pinned revision 94cff45ac1ebc7ff9c3053430f2833d1fa7be887. Modalities: Time-series.

Dataset description

This LeRobot v2.1 SO-101 dataset records demonstrations of starting a chess game by moving the e-pawn.

The pinned task instruction is: “start chess game with move the E pawn to E4”.

Source repository owner/publisher: zacapa
License: apache-2.0 (declared by the source card).
Paper/homepage/citation: no completed paper, homepage, or citation is documented in the pinned source card unless linked above.

Dataset Scale

Split	Episodes	Tasks	Source trajectory Parquets	TsFile rows	Sampling rate	TsFile files/shards
`train`	50	1	50	26,999	30 Hz	1

The staged Parquet has 26,999 rows and 17 columns including Time; TsFile chunk metadata independently reports the same 26,999 rows.

TsFile schema

Column	Role	TsFile type	Observed/source range
`Time`	TIME	INT64	0–17,967 ms; restarts per episode
`episode_index`	TAG	STRING	source integer 0–49
`task_index`	TAG	STRING	source integer 0–0
`frame_index`	FIELD	INT64	0–539 within an episode
`sample_index`	FIELD	INT64	0–26,998 globally

Exact remaining FIELD names/ranges and imported types:

action_0–action_5 (FLOAT): shoulder pan/lift, elbow flex, wrist flex/roll, and gripper action
observation_state_0–observation_state_5 (FLOAT): the corresponding SO-101 state

Conversion

All source episodes in the train split are merged into data/so101_chess_test5_train.tsfile; episode_index and task_index are TAG dimensions.
Time = round(timestamp * 1000) in milliseconds. The source timestamp column is omitted because it is redundant with Time / 1000 seconds.
frame_index is retained. Source index is retained as sample_index.
Every vector is fully flattened: the complete source name is kept, . becomes _, and element indices are appended. Float vectors are imported as single-precision FLOAT fields.
Other scalar source columns shown above are retained; no trajectory rows are intentionally dropped.
Source metadata is mirrored for publication, with copied meta/info.json rewritten to describe the converted data path and conversion semantics.

Video policy

The pinned metadata declares 50 source videos for observation.images.front. MP4 files were not downloaded or uploaded; they remain in the pinned source videos/ tree.

Minimal read example

from tsfile import TsFileReader

reader = TsFileReader("data/so101_chess_test5_train.tsfile")
print(reader.get_all_table_schemas().keys())
reader.close()

Source and provenance

Source dataset: zacapa/SO101_chess_test5
Pinned source revision: 94cff45ac1ebc7ff9c3053430f2833d1fa7be887
Converted artifact: data/so101_chess_test5_train.tsfile

Downloads last month: -

Total file size:

610 kB