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NeuralCarving-CHORD-PartVerse

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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 1539, in _prepare_split_single
                  for key, record in generator:
                                     ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 621, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 131, 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 1419, 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 976, 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 794, 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 1379, 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 956, 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 1401, 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 1579, 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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glb
mesh
__key__
string
__url__
string
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assets/047034b1ed1c425595276ba3ae178490/assembled
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assets/0484a45547114a46be39022b66726bcd/assembled
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assets/04860e9a45c04794b9778bd998197621/assembled
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assets/048948358cf94472bd0946621a653709/assembled
hf://datasets/Ruihan-org/NeuralCarving-CHORD-PartVerse@46797c114babc58f4e93a36f1e5b1287d4e148fb/shards/chord-meshes-0000.tar
assets/048bce1cc63e48719322cf079ef57131/assembled
hf://datasets/Ruihan-org/NeuralCarving-CHORD-PartVerse@46797c114babc58f4e93a36f1e5b1287d4e148fb/shards/chord-meshes-0000.tar
assets/04a2b00dbe42465ba0b069b17d1ff1a6/assembled
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assets/04a9792e286e474397bdfc7ad3a461e7/assembled
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assets/04acd5704bbf456cb96d4b35100319d8/assembled
hf://datasets/Ruihan-org/NeuralCarving-CHORD-PartVerse@46797c114babc58f4e93a36f1e5b1287d4e148fb/shards/chord-meshes-0000.tar
assets/04b13a5595fc467c8e693ccefb18de34/assembled
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assets/04b1c0999a4842118c82914ab37f07d4/assembled
hf://datasets/Ruihan-org/NeuralCarving-CHORD-PartVerse@46797c114babc58f4e93a36f1e5b1287d4e148fb/shards/chord-meshes-0000.tar
assets/04b4402e4d7e4baeb8a834feb897d15d/assembled
hf://datasets/Ruihan-org/NeuralCarving-CHORD-PartVerse@46797c114babc58f4e93a36f1e5b1287d4e148fb/shards/chord-meshes-0000.tar
assets/04b69c34c46a4c69834144ed33804180/assembled
hf://datasets/Ruihan-org/NeuralCarving-CHORD-PartVerse@46797c114babc58f4e93a36f1e5b1287d4e148fb/shards/chord-meshes-0000.tar
assets/04d150d363594b2d9a7781ed76340eec/assembled
hf://datasets/Ruihan-org/NeuralCarving-CHORD-PartVerse@46797c114babc58f4e93a36f1e5b1287d4e148fb/shards/chord-meshes-0000.tar
assets/04d6ac796ab347b0a3c914c05368a62e/assembled
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assets/04d95460c8014ffcb637ee64f0b41f6e/assembled
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assets/04db9a96f52c4290a0b6bb1aa441ccf7/assembled
hf://datasets/Ruihan-org/NeuralCarving-CHORD-PartVerse@46797c114babc58f4e93a36f1e5b1287d4e148fb/shards/chord-meshes-0000.tar
assets/04e8d87220ad41be8f335dfee575d5b4/assembled
hf://datasets/Ruihan-org/NeuralCarving-CHORD-PartVerse@46797c114babc58f4e93a36f1e5b1287d4e148fb/shards/chord-meshes-0000.tar
assets/04f1cb7bb04d41e2bb7e291bf92f0744/assembled
hf://datasets/Ruihan-org/NeuralCarving-CHORD-PartVerse@46797c114babc58f4e93a36f1e5b1287d4e148fb/shards/chord-meshes-0000.tar
assets/050649b4b5e642f0a8554b29cf22033b/assembled
hf://datasets/Ruihan-org/NeuralCarving-CHORD-PartVerse@46797c114babc58f4e93a36f1e5b1287d4e148fb/shards/chord-meshes-0000.tar
assets/050d92eccdaf4832a50f843dda6b7c34/assembled
hf://datasets/Ruihan-org/NeuralCarving-CHORD-PartVerse@46797c114babc58f4e93a36f1e5b1287d4e148fb/shards/chord-meshes-0000.tar
End of preview.

NeuralCarving CHORD synthetic materials x PartVerse

Early research backup/release of 5026 accepted curated assets. Upload is in progress. manifest.json describes the planned core population; uploaded_shards.json lists only committed, checksum-verified shards.

Extract shards into one directory with Python tarfile or tar. Each asset lives under assets//. Mesh shards contain assembled.glb; voxel shards contain dual_grid_1024.vxz, residual_u8_r2_rne_v1.vxz and its codec sidecar. Normal targets use world-space D-N perturbations, with the explicit r2/RNE byte codec. These source voxels are not VAE latents. Float fields, VAE source dumps and additional provenance follow separately.

The manifest records source paths and SHA256 hashes from the adopted curation receipts; every uploaded payload is rehashed before packaging. Preserve original material/geometry provenance and applicable upstream licenses. No blanket license is asserted for all underlying sources. MatSynth: https://huggingface.co/datasets/gvecchio/MatSynth ; PartVerse: https://huggingface.co/datasets/dscdyc/partverse ; CHORD: https://github.com/ubisoft/ubisoft-laforge-chord .
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