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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.
mp4 video | __key__ string | __url__ string |
|---|---|---|
house_0/episode_00000000_droid_shoulder_light_randomization_batch_1_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_0/episode_00000000_droid_shoulder_light_randomization_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_0/episode_00000000_randomized_gopro_analogue_1_batch_1_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_0/episode_00000000_randomized_gopro_analogue_1_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_0/episode_00000000_randomized_zed2_analogue_1_batch_1_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_0/episode_00000000_randomized_zed2_analogue_1_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_0/episode_00000000_randomized_zed2_analogue_2_batch_1_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_0/episode_00000000_randomized_zed2_analogue_2_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_0/episode_00000000_wrist_camera_zed_mini_batch_1_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_0/episode_00000000_wrist_camera_zed_mini_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_0/episode_00000000_wrist_camera_zed_mini_depth_batch_1_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_0/episode_00000000_wrist_camera_zed_mini_depth_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_0/episode_00000001_droid_shoulder_light_randomization_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_0/episode_00000001_randomized_gopro_analogue_1_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_0/episode_00000001_randomized_zed2_analogue_1_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_0/episode_00000001_randomized_zed2_analogue_2_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_0/episode_00000001_wrist_camera_zed_mini_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_0/episode_00000001_wrist_camera_zed_mini_depth_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
Not supported with pagination yet | house_0/trajectories_batch_1_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar |
Not supported with pagination yet | house_0/trajectories_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar |
house_1/episode_00000000_droid_shoulder_light_randomization_batch_1_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000000_droid_shoulder_light_randomization_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000000_randomized_gopro_analogue_1_batch_1_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000000_randomized_gopro_analogue_1_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000000_randomized_zed2_analogue_1_batch_1_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000000_randomized_zed2_analogue_1_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000000_randomized_zed2_analogue_2_batch_1_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000000_randomized_zed2_analogue_2_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000000_wrist_camera_zed_mini_batch_1_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000000_wrist_camera_zed_mini_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000000_wrist_camera_zed_mini_depth_batch_1_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000000_wrist_camera_zed_mini_depth_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000001_droid_shoulder_light_randomization_batch_1_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000001_droid_shoulder_light_randomization_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000001_randomized_gopro_analogue_1_batch_1_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000001_randomized_gopro_analogue_1_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000001_randomized_zed2_analogue_1_batch_1_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000001_randomized_zed2_analogue_1_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000001_randomized_zed2_analogue_2_batch_1_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000001_randomized_zed2_analogue_2_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000001_wrist_camera_zed_mini_batch_1_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000001_wrist_camera_zed_mini_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000001_wrist_camera_zed_mini_depth_batch_1_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000001_wrist_camera_zed_mini_depth_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000002_droid_shoulder_light_randomization_batch_1_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000002_droid_shoulder_light_randomization_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000002_randomized_gopro_analogue_1_batch_1_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000002_randomized_gopro_analogue_1_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000002_randomized_zed2_analogue_1_batch_1_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000002_randomized_zed2_analogue_1_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000002_randomized_zed2_analogue_2_batch_1_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000002_randomized_zed2_analogue_2_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000002_wrist_camera_zed_mini_batch_1_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000002_wrist_camera_zed_mini_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000002_wrist_camera_zed_mini_depth_batch_1_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000002_wrist_camera_zed_mini_depth_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000003_droid_shoulder_light_randomization_batch_1_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000003_droid_shoulder_light_randomization_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000003_randomized_gopro_analogue_1_batch_1_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000003_randomized_gopro_analogue_1_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000003_randomized_zed2_analogue_1_batch_1_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000003_randomized_zed2_analogue_1_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000003_randomized_zed2_analogue_2_batch_1_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000003_randomized_zed2_analogue_2_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000003_wrist_camera_zed_mini_batch_1_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000003_wrist_camera_zed_mini_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000003_wrist_camera_zed_mini_depth_batch_1_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000003_wrist_camera_zed_mini_depth_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000004_droid_shoulder_light_randomization_batch_1_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000004_droid_shoulder_light_randomization_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000004_randomized_gopro_analogue_1_batch_1_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000004_randomized_gopro_analogue_1_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000004_randomized_zed2_analogue_1_batch_1_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000004_randomized_zed2_analogue_1_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000004_randomized_zed2_analogue_2_batch_1_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000004_randomized_zed2_analogue_2_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000004_wrist_camera_zed_mini_batch_1_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000004_wrist_camera_zed_mini_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000004_wrist_camera_zed_mini_depth_batch_1_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_1/episode_00000004_wrist_camera_zed_mini_depth_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
Not supported with pagination yet | house_1/trajectories_batch_1_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar |
Not supported with pagination yet | house_1/trajectories_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar |
house_3/episode_00000000_droid_shoulder_light_randomization_batch_1_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_3/episode_00000000_droid_shoulder_light_randomization_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_3/episode_00000000_randomized_gopro_analogue_1_batch_1_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_3/episode_00000000_randomized_gopro_analogue_1_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_3/episode_00000000_randomized_zed2_analogue_1_batch_1_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_3/episode_00000000_randomized_zed2_analogue_1_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_3/episode_00000000_randomized_zed2_analogue_2_batch_1_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_3/episode_00000000_randomized_zed2_analogue_2_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_3/episode_00000000_wrist_camera_zed_mini_batch_1_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_3/episode_00000000_wrist_camera_zed_mini_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_3/episode_00000000_wrist_camera_zed_mini_depth_batch_1_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_3/episode_00000000_wrist_camera_zed_mini_depth_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_3/episode_00000001_droid_shoulder_light_randomization_batch_1_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_3/episode_00000001_droid_shoulder_light_randomization_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_3/episode_00000001_randomized_gopro_analogue_1_batch_1_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_3/episode_00000001_randomized_gopro_analogue_1_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_3/episode_00000001_randomized_zed2_analogue_1_batch_1_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar | |
house_3/episode_00000001_randomized_zed2_analogue_1_batch_2_of_2 | hf://datasets/Keh0t0/molmo-augment@c47d00a931bb904ccb1106e99973af5586a71a11/close/shard_0000.tar |
End of preview.
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molmo-augment
MolmoBot 데이터 증강 모음. 하위 폴더가 트랙 하나다.
place/ — goal-image place 증강 (2026-08-30)
FrankaPickAndPlaceNextToOmniCamConfig 원본에서 place 구간을 잘라내고 씬을 재구성해
주변 물체를 증강한 뒤 goal image 3뷰를 렌더한 15,043편.
shard_0000.tar~shard_0100.tar— 무압축 tar, 150편/shard, 각 ≈1.1 GB (총 113 GB)index.json— 편 → shard 매핑 + 편별 instruction·가시성- 편 구조:
<house>_p<part>__<batch>__<traj>/{clip.h5, episode_*.mp4×5, clip_meta.json, augment.json, goal_im/{wrist_camera,exo_camera_1,exo_camera_2}.png} - instruction:
Put the {obj} on the {support}.(place-only 클립에 맞춤, 2026-08-31 개정) - 가시성 게이트: 양쪽 exo ≥ 0.0002 (생성 단계 적용, 폐기율 19%)
from huggingface_hub import hf_hub_download
import json, tarfile
idx = json.load(open(hf_hub_download("Keh0t0/molmo-augment", "place/index.json", repo_type="dataset")))
shard = idx["episode_index"]["<episode>"]["shard"]
tar = hf_hub_download("Keh0t0/molmo-augment", f"place/{shard}", repo_type="dataset")
tarfile.open(tar).extractall("out/")
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