Datasets:
The dataset viewer is not available for this subset.
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.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.
SO100 Teleop Record 3 TsFile
Apache TsFile edition of NeilKim/so100-teleop-record-3, a LeRobot v2.1 SO100 teleoperation dataset for the task "Grab the box." The numeric trajectories are stored in one table-model TsFile.
Source and attribution
- Original author, repository owner, and uploader: Neil Kim (NeilKim).
- License: Apache-2.0.
- The source card does not provide a homepage, paper, or completed BibTeX citation.
- Split: train; 51 episodes; 26,704 frame rows; one task; 30 FPS; 51 source Parquet shards.
- The source
meta/info.jsondeclares 27,314 frames and 104 videos, but the current 51 Parquet files andmeta/episodes.jsonlcontain 26,704 rows, while the repository has 102 MP4 files. Current files are authoritative here.
| Task index | Task | Episodes | Rows |
|---|---|---|---|
| 0 | Grab the box | 51 | 26,704 |
Data layout
The table is neilkim_so100_teleop_record_3 and contains 26,704 rows across 51 TAG devices. The source Parquet shards total 1,301,122 bytes; the TsFile is 516,823 bytes (39.7% of the source Parquet size).
| Column | TsFile role | Type | Meaning |
|---|---|---|---|
Time |
TIME | INT64 milliseconds | round(timestamp * 1000), restarting at zero per episode |
episode_index |
TAG | STRING from source INT64 | Source episode identity |
task_index |
TAG | STRING from source INT64 | Source task identity |
frame_index |
FIELD | INT64 | Frame position within the episode |
sample_index |
FIELD | INT64 | Source index, renamed for clarity |
action_0 ... action_5 |
FIELD | FLOAT | Flattened action[6] |
observation_state_0 ... observation_state_5 |
FIELD | FLOAT | Flattened observation.state[6] |
timestamp is not retained as a separate FIELD because it is represented by Time / 1000 seconds. The vector column names preserve their source prefixes, with dots changed to underscores. Source index values are preserved as sample_index, including their existing gaps. No trajectory row, episode, task, action dimension, or state dimension is removed.
The data/ directory contains only neilkim_so100_teleop_record_3.tsfile. Source metadata remains under meta/; source trajectory Parquet files are not placed in meta/.
Videos and alignment
The 102 source AV1 videos are not included here. They remain under videos/chunk-000 in the original repository:
observation.images.hand: 51 files, 218,745,001 bytesobservation.images.top: 51 files, 372,819,380 bytes
The source template is videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4. Use episode_index and frame_index to align each numeric row with both 30 FPS video streams.
Read example
from tsfile import TsFileReader
reader = TsFileReader("data/neilkim_so100_teleop_record_3.tsfile")
with reader.query_table(
"neilkim_so100_teleop_record_3",
["episode_index", "task_index", "frame_index", "sample_index", "action_0", "observation_state_0"],
batch_size=1024,
) as result:
batch = result.read_arrow_batch()
print(batch.to_pandas().head())
reader.close()
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