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.
G1 Dex3 Object Placement Dataset (TsFile)
Converted from unitreerobotics/G1_Dex3_ObjectPlacement_Dataset at pinned revision 2e1d63e5fd9587e1240b889c51c6553be6910027. Modalities: Time-series.
Dataset description
This Unitree G1 dataset records dual-arm, three-fingered-hand demonstrations for picking up a toothpaste box and trash bag from a desk and placing them into a blue storage container. The source card documents approximately 20-second operations, 30 Hz recording, and randomized object placement.
Source task label: object placement. The source card gives the objective above and links the AVP teleoperation documentation for camera/setup guidance.
- Source repository owner/publisher: unitreerobotics
- 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 |
210 | 1 | 1 | 98,266 | 30 Hz | 1 |
The staged Parquet has 98,266 rows and 61 columns including Time; TsFile chunk metadata independently reports the same 98,266 rows.
TsFile schema
| Column | Role | TsFile type | Observed/source range |
|---|---|---|---|
Time |
TIME | INT64 | 0–31,967 ms; restarts per episode |
episode_index |
TAG | STRING | source integer 0–209 |
task_index |
TAG | STRING | source integer 0–0 |
frame_index |
FIELD | INT64 | 0–959 within an episode |
sample_index |
FIELD | INT64 | 0–98,265 globally |
Exact remaining FIELD names/ranges and imported types:
observation_state_0–observation_state_27(FLOAT): 14 arm joints and 14 Dex3 hand coordinatesaction_0–action_27(FLOAT): the corresponding next-action coordinates
Conversion
- All source episodes in the train split are merged into
data/g1_dex3_object_placement_dataset_train.tsfile;episode_indexandtask_indexare TAG dimensions. Time = round(timestamp * 1000)in milliseconds. The sourcetimestampcolumn is omitted because it is redundant withTime / 1000seconds.frame_indexis retained. Sourceindexis retained assample_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.jsonrewritten to describe the converted data path and conversion semantics.
Video policy
The source declares four 640×480 video features (left/right head cameras and left/right wrist cameras) but no current total_videos counter. 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/g1_dex3_object_placement_dataset_train.tsfile")
print(reader.get_all_table_schemas().keys())
reader.close()
Source and provenance
- Source dataset:
unitreerobotics/G1_Dex3_ObjectPlacement_Dataset - Pinned source revision:
2e1d63e5fd9587e1240b889c51c6553be6910027 - Converted artifact:
data/g1_dex3_object_placement_dataset_train.tsfile
- Downloads last month
- -