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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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__url__
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gso_sim2real_25v/Wishbone_Pencil_Case/000
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Wishbone_Pencil_Case/000_depth
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Wishbone_Pencil_Case/001
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Wishbone_Pencil_Case/001_depth
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Wishbone_Pencil_Case/002
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Wishbone_Pencil_Case/002_depth
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Wishbone_Pencil_Case/003
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Wishbone_Pencil_Case/003_depth
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Wishbone_Pencil_Case/004
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Wishbone_Pencil_Case/004_depth
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Wishbone_Pencil_Case/005
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Wishbone_Pencil_Case/005_depth
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Wishbone_Pencil_Case/006
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Wishbone_Pencil_Case/006_depth
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Wishbone_Pencil_Case/007
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Wishbone_Pencil_Case/007_depth
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Wishbone_Pencil_Case/008
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Wishbone_Pencil_Case/008_depth
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Wishbone_Pencil_Case/009
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Wishbone_Pencil_Case/009_depth
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Wishbone_Pencil_Case/010
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gso_sim2real_25v/Wishbone_Pencil_Case/010_depth
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Wishbone_Pencil_Case/011
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Wishbone_Pencil_Case/011_depth
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Wishbone_Pencil_Case/012
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Wishbone_Pencil_Case/012_depth
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Wishbone_Pencil_Case/013
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gso_sim2real_25v/Wishbone_Pencil_Case/014
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Wishbone_Pencil_Case/014_depth
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Wishbone_Pencil_Case/015
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Wishbone_Pencil_Case/015_depth
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Wishbone_Pencil_Case/016
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Wishbone_Pencil_Case/016_depth
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gso_sim2real_25v/Wishbone_Pencil_Case/017
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Wishbone_Pencil_Case/017_depth
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gso_sim2real_25v/Wishbone_Pencil_Case/018
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gso_sim2real_25v/Wishbone_Pencil_Case/020
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gso_sim2real_25v/Wishbone_Pencil_Case/022
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gso_sim2real_25v/Wishbone_Pencil_Case/023_depth
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gso_sim2real_25v/Wishbone_Pencil_Case/024
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Wishbone_Pencil_Case/024_depth
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
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gso_sim2real_25v/Wishbone_Pencil_Case/benchmark
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
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gso_sim2real_25v/Wishbone_Pencil_Case/phases
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
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gso_sim2real_25v/Wishbone_Pencil_Case/transforms
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Womens_Angelfish_Boat_Shoe_in_Linen_Leopard_Sequin_NJDwosWNeZz/000
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Womens_Angelfish_Boat_Shoe_in_Linen_Leopard_Sequin_NJDwosWNeZz/000_depth
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Womens_Angelfish_Boat_Shoe_in_Linen_Leopard_Sequin_NJDwosWNeZz/001
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gso_sim2real_25v/Womens_Angelfish_Boat_Shoe_in_Linen_Leopard_Sequin_NJDwosWNeZz/001_depth
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gso_sim2real_25v/Womens_Angelfish_Boat_Shoe_in_Linen_Leopard_Sequin_NJDwosWNeZz/002
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Womens_Angelfish_Boat_Shoe_in_Linen_Leopard_Sequin_NJDwosWNeZz/002_depth
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gso_sim2real_25v/Womens_Angelfish_Boat_Shoe_in_Linen_Leopard_Sequin_NJDwosWNeZz/003
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
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gso_sim2real_25v/Womens_Angelfish_Boat_Shoe_in_Linen_Leopard_Sequin_NJDwosWNeZz/004_depth
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gso_sim2real_25v/Womens_Angelfish_Boat_Shoe_in_Linen_Leopard_Sequin_NJDwosWNeZz/005
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gso_sim2real_25v/Womens_Angelfish_Boat_Shoe_in_Linen_Leopard_Sequin_NJDwosWNeZz/005_depth
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gso_sim2real_25v/Womens_Angelfish_Boat_Shoe_in_Linen_Leopard_Sequin_NJDwosWNeZz/006
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Womens_Angelfish_Boat_Shoe_in_Linen_Leopard_Sequin_NJDwosWNeZz/006_depth
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Womens_Angelfish_Boat_Shoe_in_Linen_Leopard_Sequin_NJDwosWNeZz/007
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Womens_Angelfish_Boat_Shoe_in_Linen_Leopard_Sequin_NJDwosWNeZz/007_depth
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Womens_Angelfish_Boat_Shoe_in_Linen_Leopard_Sequin_NJDwosWNeZz/008
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Womens_Angelfish_Boat_Shoe_in_Linen_Leopard_Sequin_NJDwosWNeZz/008_depth
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Womens_Angelfish_Boat_Shoe_in_Linen_Leopard_Sequin_NJDwosWNeZz/009
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Womens_Angelfish_Boat_Shoe_in_Linen_Leopard_Sequin_NJDwosWNeZz/009_depth
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Womens_Angelfish_Boat_Shoe_in_Linen_Leopard_Sequin_NJDwosWNeZz/010
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Womens_Angelfish_Boat_Shoe_in_Linen_Leopard_Sequin_NJDwosWNeZz/010_depth
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Womens_Angelfish_Boat_Shoe_in_Linen_Leopard_Sequin_NJDwosWNeZz/011
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Womens_Angelfish_Boat_Shoe_in_Linen_Leopard_Sequin_NJDwosWNeZz/011_depth
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Womens_Angelfish_Boat_Shoe_in_Linen_Leopard_Sequin_NJDwosWNeZz/012
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Womens_Angelfish_Boat_Shoe_in_Linen_Leopard_Sequin_NJDwosWNeZz/012_depth
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Womens_Angelfish_Boat_Shoe_in_Linen_Leopard_Sequin_NJDwosWNeZz/013
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Womens_Angelfish_Boat_Shoe_in_Linen_Leopard_Sequin_NJDwosWNeZz/013_depth
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Womens_Angelfish_Boat_Shoe_in_Linen_Leopard_Sequin_NJDwosWNeZz/014
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Womens_Angelfish_Boat_Shoe_in_Linen_Leopard_Sequin_NJDwosWNeZz/014_depth
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Womens_Angelfish_Boat_Shoe_in_Linen_Leopard_Sequin_NJDwosWNeZz/015
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Womens_Angelfish_Boat_Shoe_in_Linen_Leopard_Sequin_NJDwosWNeZz/015_depth
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Womens_Angelfish_Boat_Shoe_in_Linen_Leopard_Sequin_NJDwosWNeZz/016
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Womens_Angelfish_Boat_Shoe_in_Linen_Leopard_Sequin_NJDwosWNeZz/016_depth
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Womens_Angelfish_Boat_Shoe_in_Linen_Leopard_Sequin_NJDwosWNeZz/017
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Womens_Angelfish_Boat_Shoe_in_Linen_Leopard_Sequin_NJDwosWNeZz/017_depth
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Womens_Angelfish_Boat_Shoe_in_Linen_Leopard_Sequin_NJDwosWNeZz/018
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Womens_Angelfish_Boat_Shoe_in_Linen_Leopard_Sequin_NJDwosWNeZz/018_depth
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Womens_Angelfish_Boat_Shoe_in_Linen_Leopard_Sequin_NJDwosWNeZz/019
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Womens_Angelfish_Boat_Shoe_in_Linen_Leopard_Sequin_NJDwosWNeZz/019_depth
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Womens_Angelfish_Boat_Shoe_in_Linen_Leopard_Sequin_NJDwosWNeZz/020
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Womens_Angelfish_Boat_Shoe_in_Linen_Leopard_Sequin_NJDwosWNeZz/020_depth
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Womens_Angelfish_Boat_Shoe_in_Linen_Leopard_Sequin_NJDwosWNeZz/021
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Womens_Angelfish_Boat_Shoe_in_Linen_Leopard_Sequin_NJDwosWNeZz/021_depth
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Womens_Angelfish_Boat_Shoe_in_Linen_Leopard_Sequin_NJDwosWNeZz/022
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Womens_Angelfish_Boat_Shoe_in_Linen_Leopard_Sequin_NJDwosWNeZz/022_depth
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
gso_sim2real_25v/Womens_Angelfish_Boat_Shoe_in_Linen_Leopard_Sequin_NJDwosWNeZz/023
hf://datasets/szlgallen/RnG_training_data@9878ab045ffa24c114866dafb511ad6fb30f791b/gso_sim2real_25v_eval/gso_sim2real_25v.tar
End of preview.

RnG training data

objaverse_all287k_renders

287,562 Objaverse objects, 40 views each: RGB .webp + depth _depth.png + transforms.json (camera). Total 1,438,645,422,080 bytes (1.31 TiB).

  • shards/shard_00000.tar … shard_00718.tar — 719 shards, ~2 GB each, 400 per-object tars per shard (last one 362)
  • manifest.tsv — shard → member tar → size → shard sha256
  • objaverse_all287k.txt — the 287,562 object ids (32-hex). Member tar names are the object's storage key: 64-hex sha256 for 179,216 objects, 32-hex object id for 108,339, Sketchfab uid for 7

Restore: tar -xf shard_XXXXX.tar gives back the original per-object tars; put them in one folder.

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