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 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.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.
test_50_50 TsFile
This is an Apache TsFile version of the
anirudhrani/test_50_50
source dataset. It preserves the source numeric data in one TsFile table
without assigning an undocumented meaning to the robot task.
- Modalities: Time-series
- Split: train
- Source episodes: 440
- Frames: 174,142
- Source tasks: 1
- Sampling rate: approximately 30 Hz
- TsFile data files: 1 (
data/test_50_50.tsfile) - Source-derived segments: 880
- Table name:
test_50_50
Reset-Segment Representation
Every source episode has a main sequence followed by a final row where both
frame_index and timestamp reset to zero. The first row of the episode also
maps to Time=0, so storing both rows under only episode_index, task_index,
and Time would create a conflicting TsFile key.
The conversion therefore derives segment_index directly from each source
reset. segment_index=0 is the main sequence and segment_index=1 is the
final reset segment. This produces two segments per source episode, or 880
tagged segment devices in total, and preserves both conflicting rows without
altering their timestamps. The three TsFile TAG columns are episode_index,
task_index, and segment_index.
Schema and Mapping
| Column | TsFile role and type | Source mapping |
|---|---|---|
Time |
TIME, INT64 milliseconds | Exactly round(timestamp * 1000) |
episode_index |
TAG | Retained source episode index |
task_index |
TAG | Retained source task index |
segment_index |
TAG | Derived from non-increasing source frame_index or timestamp |
frame_index |
FIELD, INT64 | Retained unchanged |
sample_index |
FIELD, INT64 | Source index, renamed |
action_0 ... action_5 |
FIELD, FLOAT | Six scalar components of source action |
observation_state_0 ... observation_state_5 |
FIELD, FLOAT | Six scalar components of source observation.state |
Time uses the exact source timestamp mapping shown above. The source
timestamp column is not stored separately because it is redundant with
Time / 1000 seconds. The source index column is retained as
sample_index. Apart from that redundant timestamp field, no numeric row or
field is dropped: all 174,142 source rows, frame_index, index, and all 12
vector components are retained.
Python SDK Example
from tsfile import TsFileReader
with TsFileReader("data/test_50_50.tsfile") as reader:
schema = reader.get_all_table_schemas()["test_50_50"]
columns = [column.get_column_name() for column in schema.get_columns()]
with reader.query_table("test_50_50", columns, batch_size=65536) as result:
batch = result.read_arrow_batch()
if batch is not None:
print(batch.to_pandas().head())
Source and License
- Publisher:
anirudhrani - Source:
anirudhrani/test_50_50 - License: The source repository does not declare a license. This conversion does not assert one; users should defer to the source repository for usage terms.
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