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 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.
Demon Attack Pi0 Validation (TsFile)
This dataset contains the numeric time-series data from
talha1503/demon_attack_pi0_validation,
converted from its LeRobot v2.0 Atari layout to one Apache TsFile. The task asks
an agent playing Demon Attack from a single game image to choose one of NOOP,
FIRE, RIGHT, LEFT, RIGHTFIRE, or LEFTFIRE, avoid enemy fire, survive,
and shoot enemies to maximize score.
- Modalities: Time-series in this repository; RGB images in the original repository
- Split: validation
- Scale: 29 episodes and 51,257 frames/rows
- Sampling rate: 30 FPS
- Source files: 29 episode Parquet files
- Converted files: 1 TsFile
- Source revision:
1a423750d2957d33cd2ec4c4931465eb8ab845b6 - License: not specified by the source repository
Data File
The complete converted numeric dataset is stored at
data/demon_attack_pi0_validation.tsfile.
It contains the table demon_attack_pi0_validation. Each source frame maps to
one row, while episode and task identifiers form the TsFile TAG dimensions.
TsFile Schema
| Column | TsFile role | Type | Description |
|---|---|---|---|
Time |
TIME | INT64 timestamp (ms) | round(timestamp * 1000) within each episode |
episode_index |
TAG | STRING (source INT64) | Source episode index, 0 through 28 |
task_index |
TAG | STRING (source INT64) | Source task index; 0 for this dataset |
frame_index |
FIELD | INT64 | Frame index within the episode |
sample_index |
FIELD | INT64 | Source global sample index |
done |
FIELD | INT64 | Source boolean terminal flag encoded as 0 or 1 |
is_success |
FIELD | INT64 | Source boolean success flag encoded as 0 or 1 |
state_0 |
FIELD | FLOAT | The one-dimensional source state vector |
actions_0 ... actions_5 |
FIELD | FLOAT | The six-dimensional source actions vector |
Conversion Notes
- Source
timestampis represented by the TsFileTimecolumn in milliseconds and is not duplicated as a FIELD. - Source
indexis renamed tosample_index. stateis flattened tostate_0andactionsis flattened toactions_0throughactions_5, using single-precision FLOAT fields.- Source boolean columns
doneandis_successare stored as INT640/1flags for reliable TsFile readback. episode_indexandtask_indexare TAG columns, allowing all 29 episodes to remain in one TsFile.- Detailed source-to-TsFile mappings are recorded in
meta/info.json.
Images
The source image feature is a 160 x 160 x 3 RGB image embedded in each
episode Parquet file. It is intentionally omitted from this numeric TsFile
conversion rather than expanded into 76,800 scalar values per frame. The images
remain available in the
original dataset.
The preserved episode, frame, task, and sample indices maintain frame-level
alignment with the source rows. The source repository contains no MP4 files.
Reading the TsFile
from tsfile import TsFileReader
reader = TsFileReader("data/demon_attack_pi0_validation.tsfile")
columns = [
"episode_index",
"task_index",
"frame_index",
"sample_index",
"done",
"is_success",
"state_0",
"actions_0",
]
with reader.query_table(
"demon_attack_pi0_validation", columns, batch_size=65536
) as result:
first_batch = result.read_arrow_batch()
print(first_batch)
Source and Attribution
The source repository did not provide a dataset card, paper, citation, author
list, or license metadata. Its available LeRobot metadata, task description,
episode Parquet files, and embedded images are preserved at
talha1503/demon_attack_pi0_validation.
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