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Datasets:
gwd200
/
medshapenet-v2-training-bundle

Modalities:
3D
Tags:
3d
medical
medshapenet
trellis
sparse-structure
License:
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Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ValueError
Message:      Failed to convert pandas DataFrame to Arrow Table from file hf://datasets/gwd200/medshapenet-v2-training-bundle@1451d174e556c3cf6fff6248efef6154e192fbda/medshapenet_v2_training_bundle_part_000.done.json.
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 4376, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2658, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2836, in iter
                  for key, pa_table in ex_iterable.iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2374, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 303, in _generate_tables
                  raise ValueError(
              ValueError: Failed to convert pandas DataFrame to Arrow Table from file hf://datasets/gwd200/medshapenet-v2-training-bundle@1451d174e556c3cf6fff6248efef6154e192fbda/medshapenet_v2_training_bundle_part_000.done.json.

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MedShapeNet V2 Training Bundle

This dataset contains the MedShapeNet V2 training bundle used by the Dora/TRELLIS two-stage 3D shape generation pipeline.

Contents

  • medshapenet_v2_training_bundle_part_000.zip
    • 224,715 rendered PNG images from three orthogonal views: front.png, left.png, top.png
    • 74,905 Stage-1 sparse-structure latent .pt files
    • 74,905 Stage-2 SLat .npz files
    • 7 config/split metadata files
  • medshapenet_v2_training_bundle_partition_manifest.json
    • Partition manifest and raw-size metadata
  • _filelists/medshapenet_v2_training_bundle_part_000.txt
    • Exact archive file list
  • medshapenet_v2_training_bundle_part_000.done.json
    • Local packaging completion metadata

Exclusions

This bundle does not include SDF data and does not include watertight mesh data. It only includes the files needed for training: split/config metadata, Stage-1 sparse-structure latents, Stage-2 SLat latents, and rendered images.

Size

  • Raw input size before zip: 67,970,400,080 bytes, or 63.30 GiB
  • Zip size: 66,226,365,020 bytes, or 61.69 GiB
  • Files inside zip: 374,532

The zip was validated with zip -T during packaging.
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