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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 1405, 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 982, 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.
png image | __key__ string | __url__ string |
|---|---|---|
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/118 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/20 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/96 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/74 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/5 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/107 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/95 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/61 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/17 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/92 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/63 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/62 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/129 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/70 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/44 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/19 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/101 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/84 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/149 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/133 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/127 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/29 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/147 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/59 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/3 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/42 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/90 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/76 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/111 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/64 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/141 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/65 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/85 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/105 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/72 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/7 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/82 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/125 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/13 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/12 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/75 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/30 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/32 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/120 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/49 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/123 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/89 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/93 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/14 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/128 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/57 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/31 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/109 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/34 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/122 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/112 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/25 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/143 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/116 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/148 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/38 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/0 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/55 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/54 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/52 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/145 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/119 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/110 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/22 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/24 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/46 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/40 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/134 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/56 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/66 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/1 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/69 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/48 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/100 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/104 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/27 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/132 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/39 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/9 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/135 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/106 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/150 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/18 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/83 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/53 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/79 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/51 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/16 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/78 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/86 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/124 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/15 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/121 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/58 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar | |
train_data/close_jar/all_variations/episodes/episode4/left_shoulder_depth/60 | hf://datasets/lyuxinghe/particlesplat-rlbench@5b18942aaaf343bc644ef6d8aef8bf99e2346a4e/train_data/close_jar.tar |
End of preview.
ParticleSplat: RLBench data
Multi-view RLBench data used by ParticleSplat: Self-supervised Object-centric Latent Particle Splatting (project page, code).
Ten tasks (close_jar, open_drawer, sweep_to_dustpan_of_size, meat_off_grill, turn_tap,
slide_block_to_color_target, put_item_in_drawer, reach_and_drag, push_buttons, stack_blocks), 20 training
and 25 test episodes per task, rendered at 128×128 following the GNFactor / ManiGaussian protocol. Every timestep
provides the standard RLBench camera streams (RGB, depth, mask and pose for the front, shoulder, overhead and
wrist cameras) and nerf_data/, a 21-view posed RGB-D trajectory.
Layout
| Path | Content |
|---|---|
train_data/<task>.tar, test_data/<task>.tar |
one archive per task and split; extracts to <split>/<task>/all_variations/episodes/episode<N>/ |
policy/<task>/tokens/<task>_ps_dlpgs_2view_tokens.pkl (+ .meta.json) |
ParticleSplat tokens of the training episodes for policy learning |
policy/<task>/latents/<task>_ps_dlpgs_latents.npz |
encoder latents |
policy/<task>/frames/{cameras.json,manifest.json} |
policy camera poses and frame provenance |
huggingface-cli download --repo-type dataset lyuxinghe/particlesplat-rlbench --include "*_data/*.tar" --local-dir data/rlbench
for f in data/rlbench/*_data/*.tar; do tar -xf "$f" -C data/rlbench && rm "$f"; done
Representation training and evaluation are documented in the
code repository; policy learning on the
policy-learning branch. The episodes are
generated with RLBench and are distributed under its terms.
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