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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1531, in _prepare_split_single
for key, record in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 127, in _generate_examples
for example_idx, example in enumerate(self._get_pipeline_from_tar(tar_path, tar_iterator)):
~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
for filename, f in tar_iterator:
^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/track.py", line 49, in __iter__
for x in self.generator(*self.args):
~~~~~~~~~~~~~~^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1400, in _iter_from_urlpath
with xopen(urlpath, "rb", download_config=download_config, block_size=0) as f:
~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 977, in xopen
file_obj = fs.open(paths[0], mode)
File "<string>", line 3, in open
File "/usr/local/lib/python3.14/unittest/mock.py", line 1176, in __call__
return self._mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1180, in _mock_call
return self._execute_mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1247, in _execute_mock_call
result = effect(*args, **kwargs)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 786, in wrapped
tracker.files[urlpath] = {"read": 0, "size": int(f.size)}
~~~^^^^^^^^
TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
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/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1393, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1571, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
0 unknown | __key__ string | __url__ string |
|---|---|---|
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End of preview.
Push-T: 200 Teleoperated Demonstrations
200 demonstrations of the 2D Push-T task (push a T-shaped block onto a fixed target pose), collected by mouse teleoperation with demo_pusht.py from the Diffusion Policy codebase. Collected for a study of how Diffusion Policy performance scales with the number of demonstrations.
- Code and write-up: https://github.com/manhasv/pusht200
- Trained checkpoints (50/100/150/200 demos): https://huggingface.co/manhasv/diffusion-policy-pusht200
Contents
| Episodes | 200 (episode i starts from env seed i, seeds 0–199) |
| Total steps | 25,269 at 10 Hz |
| Episode length | 126 ± 46 steps (min 31, median 119, max 275) |
| Outcome | every episode ends in success: demo_pusht.py stops an episode automatically once the T covers > 95% of the target |
| Demonstrator | a single person, mouse teleoperation |
Format
A zarr ReplayBuffer (the format used throughout the Diffusion Policy repo). All episodes are concatenated along the first axis; meta/episode_ends gives the end index of each episode.
| Key | Shape | Type | Description |
|---|---|---|---|
data/action |
(T, 2) | float32 | target position of the agent, in pixels (0–512) |
data/state |
(T, 5) | float32 | [agent_x, agent_y, block_x, block_y, block_angle] |
data/keypoint |
(T, 9, 2) | float32 | 9 keypoints of the T block, in pixels |
data/img |
(T, 96, 96, 3) | uint8 | rendered RGB observation |
data/n_contacts |
(T, 1) | float32 | number of agent–block contacts |
meta/episode_ends |
(200,) | int64 | cumulative episode end indices |
Download
hf download manhasv/pusht-200-data pusht_200.zarr.tar.gz --repo-type dataset --local-dir .
mkdir -p data && tar xzf pusht_200.zarr.tar.gz -C data/ # -> data/pusht_200.zarr
Notes
- This dataset is for demo purpose only. Compared with the original paper's Push-T demonstrations, this dataset have similar episode lengths but more idle frames (13% vs. 3%), jerkier motion, and ~27% longer agent paths. Policies trained on this data scored lower than the authors' results at similar dataset sizes.
License
MIT, following the upstream Diffusion Policy repository.
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