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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
blend: string
glb: string
note: string
object_count: int64
materials: list<item: string>
  child 0, item: string
source_blend: string
id: string
source_script: string
preview: string
path: string
name: string
manifest: string
category: string
package: string
format: string
to
{'id': Value('string'), 'name': Value('string'), 'category': Value('string'), 'format': Value('string'), 'path': Value('string'), 'source_blend': Value('string'), 'package': Value('string'), 'preview': Value('string'), 'manifest': Value('string'), 'source_script': Value('string'), 'object_count': Value('int64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, 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 299, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              blend: string
              glb: string
              note: string
              object_count: int64
              materials: list<item: string>
                child 0, item: string
              source_blend: string
              id: string
              source_script: string
              preview: string
              path: string
              name: string
              manifest: string
              category: string
              package: string
              format: string
              to
              {'id': Value('string'), 'name': Value('string'), 'category': Value('string'), 'format': Value('string'), 'path': Value('string'), 'source_blend': Value('string'), 'package': Value('string'), 'preview': Value('string'), 'manifest': Value('string'), 'source_script': Value('string'), 'object_count': Value('int64')}
              because column names don't match

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Colorful 3D Models Database

This dataset contains raw Blender and GLB assets for the 3D model database. It is dataset-only and the deployment script creates/uploads only the Hugging Face dataset repository.

The original five colorful low-poly models are:

  • Rocket
  • Robot
  • Tiny House
  • Low Poly Tree
  • Sport Car

Additional assets added to the database:

  • Pro Red Sports Coupe Native Blender source
  • Yellow Black Stylized Prop Blaster GLB, Blender source, preview, manifest, and packaged ZIP

Files

  • raw/five_3d_models.blend: editable Blender scene with all five models.
  • raw/five_3d_models.glb: combined GLB export.
  • raw/individual/*.glb: one GLB file per model.
  • raw/additional/*: extra Blender, GLB, manifest, package, and backup model files.
  • raw/previews/*: preview images for database assets.
  • raw/source/*.py: Blender Python scripts used to generate and export the assets.
  • metadata.jsonl: file index for the assets.
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