Datasets:

tarzanagh
/

crom-data

Tasks:

Robotics

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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 dataset

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jpg image	__key__ string	__url__ string
	episode_175822_20260805_141329/head_left_rgb/frame_000000	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000001	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000002	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000003	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000004	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000005	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000006	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000007	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000008	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000009	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000010	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000011	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000012	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000013	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000014	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000015	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000016	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000017	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000018	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000019	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000020	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000021	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000022	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000023	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000024	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000025	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000026	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000027	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000028	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000029	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000030	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000031	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000032	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000033	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000034	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000035	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000036	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000037	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000038	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000039	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000040	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000041	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000042	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000043	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000044	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000045	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000046	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000047	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000048	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000049	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000050	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000051	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000052	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000053	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000054	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000055	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000056	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000057	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000058	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000059	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000060	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000061	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000062	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000063	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000064	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000065	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000066	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000067	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000068	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000069	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000070	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
	episode_175822_20260805_141329/head_left_rgb/frame_000071	hf://datasets/tarzanagh/crom-data@93a5e9d464055ba298804aed5c8962c54261b85d/08-05-2026/episode_175822_20260805_141329.tar
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End of preview.

crom-data

Teleoperation recordings from a DexMate Vega-1p robot (gripper end-effector).

Dates

07-10-2026
07-13-2026

(197 complete episodes total)

Format

Each episode_<num>_<YYYYMMDD_HHMMSS>.tar extracts to a folder containing:

head_left_rgb/, head_right_rgb/, left_wrist_rgb/, right_wrist_rgb/ — JPEG frames (960x600)
transitions.pkl — per-timestep dicts: timestamp_ns, state (joint_pos/joint_vel), action, metadata
metadata.json — episode-level info (operator, record_rate=30Hz, hand_type, ...)

Recorded at 30 Hz via the OmniTeleop MDP recorder. Extract: tar -xf <episode>.tar

Downloads last month: 407

Total file size:

99.3 GB