Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
expected_cases: int64
validated_cases: int64
unique_gt_videos: int64
validated_gt_placements: int64
error_count: int64
expected_case_files: list<item: string>
child 0, item: string
specification: struct<codec: string, pixel_format: string, resolution: list<item: int64>, fps: double, frames: int6 (... 28 chars omitted)
child 0, codec: string
child 1, pixel_format: string
child 2, resolution: list<item: int64>
child 0, item: int64
child 3, fps: double
child 4, frames: int64
child 5, duration_seconds: double
decoded_lit_unlit_first_frame_mae: struct<min: double, mean: double, max: double>
child 0, min: double
child 1, mean: double
child 2, max: double
contact_sheet: string
records: list<item: struct<case: string, lit: struct<path: string, size_bytes: int64, sha256: string, codec: (... 569 chars omitted)
child 0, item: struct<case: string, lit: struct<path: string, size_bytes: int64, sha256: string, codec: string, pix (... 557 chars omitted)
child 0, case: string
child 1, lit: struct<path: string, size_bytes: int64, sha256: string, codec: string, pixel_format: string, resolut (... 189 chars omitted)
child 0, path: string
child 1, size_bytes: int64
child 2, sha256: string
child 3, codec: string
child 4, pixel_format: string
child 5, resolution: list<item: int64>
child 0, item: int64
child 6, fps: double
child 7, duration_seconds: double
c
...
int64
child 9, hunyuan_path: string
child 10, hunyuan_size_bytes: int64
child 11, hunyuan_sha256: string
child 12, cross_method_same_inode: bool
child 2, unlit: struct<path: string, size_bytes: int64, sha256: string, codec: string, pixel_format: string, resolut (... 189 chars omitted)
child 0, path: string
child 1, size_bytes: int64
child 2, sha256: string
child 3, codec: string
child 4, pixel_format: string
child 5, resolution: list<item: int64>
child 0, item: int64
child 6, fps: double
child 7, duration_seconds: double
child 8, decoded_frames: int64
child 9, hunyuan_path: string
child 10, hunyuan_size_bytes: int64
child 11, hunyuan_sha256: string
child 12, cross_method_same_inode: bool
child 3, decoded_lit_unlit_first_frame_mae: double
errors: list<item: null>
child 0, item: null
completed_cases: int64
shards: list<item: struct<path: string, shard_index: int64, num_shards: int64, expected_cases_in_shard: int6 (... 47 chars omitted)
child 0, item: struct<path: string, shard_index: int64, num_shards: int64, expected_cases_in_shard: int64, complete (... 35 chars omitted)
child 0, path: string
child 1, shard_index: int64
child 2, num_shards: int64
child 3, expected_cases_in_shard: int64
child 4, completed_cases: int64
child 5, error_count: int64
to
{'expected_cases': Value('int64'), 'completed_cases': Value('int64'), 'error_count': Value('int64'), 'shards': List({'path': Value('string'), 'shard_index': Value('int64'), 'num_shards': Value('int64'), 'expected_cases_in_shard': Value('int64'), 'completed_cases': Value('int64'), 'error_count': Value('int64')}), 'records': List({'case': Value('string'), 'status': Value('string'), 'resolution': List(Value('int64')), 'frames': Value('int64'), 'fps': Value('float64'), 'view_azimuth_deg': Value('float64'), 'lighting': {'ambient': List(Value('float64')), 'directional_intensity': Value('float64'), 'directional_position': List(Value('float64')), 'point_color': List(Value('float64')), 'point_intensity': Value('float64'), 'point_position': List(Value('float64'))}, 'lit_unlit_first_frame_foreground_mae': Value('float64'), 'lit_unlit_first_frame_foreground_max_error': Value('int64'), 'lit_sha256': Value('string'), 'unlit_sha256': Value('string'), 'paint_lit_video': Value('string'), 'paint_unlit_video': Value('string'), 'hunyuan_lit_video': Value('string'), 'hunyuan_unlit_video': Value('string'), 'hunyuan_actions': {'lit': Value('string'), 'unlit': Value('string')}}), 'errors': List(Value('null'))}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
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 129, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 489, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/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/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
expected_cases: int64
validated_cases: int64
unique_gt_videos: int64
validated_gt_placements: int64
error_count: int64
expected_case_files: list<item: string>
child 0, item: string
specification: struct<codec: string, pixel_format: string, resolution: list<item: int64>, fps: double, frames: int6 (... 28 chars omitted)
child 0, codec: string
child 1, pixel_format: string
child 2, resolution: list<item: int64>
child 0, item: int64
child 3, fps: double
child 4, frames: int64
child 5, duration_seconds: double
decoded_lit_unlit_first_frame_mae: struct<min: double, mean: double, max: double>
child 0, min: double
child 1, mean: double
child 2, max: double
contact_sheet: string
records: list<item: struct<case: string, lit: struct<path: string, size_bytes: int64, sha256: string, codec: (... 569 chars omitted)
child 0, item: struct<case: string, lit: struct<path: string, size_bytes: int64, sha256: string, codec: string, pix (... 557 chars omitted)
child 0, case: string
child 1, lit: struct<path: string, size_bytes: int64, sha256: string, codec: string, pixel_format: string, resolut (... 189 chars omitted)
child 0, path: string
child 1, size_bytes: int64
child 2, sha256: string
child 3, codec: string
child 4, pixel_format: string
child 5, resolution: list<item: int64>
child 0, item: int64
child 6, fps: double
child 7, duration_seconds: double
c
...
int64
child 9, hunyuan_path: string
child 10, hunyuan_size_bytes: int64
child 11, hunyuan_sha256: string
child 12, cross_method_same_inode: bool
child 2, unlit: struct<path: string, size_bytes: int64, sha256: string, codec: string, pixel_format: string, resolut (... 189 chars omitted)
child 0, path: string
child 1, size_bytes: int64
child 2, sha256: string
child 3, codec: string
child 4, pixel_format: string
child 5, resolution: list<item: int64>
child 0, item: int64
child 6, fps: double
child 7, duration_seconds: double
child 8, decoded_frames: int64
child 9, hunyuan_path: string
child 10, hunyuan_size_bytes: int64
child 11, hunyuan_sha256: string
child 12, cross_method_same_inode: bool
child 3, decoded_lit_unlit_first_frame_mae: double
errors: list<item: null>
child 0, item: null
completed_cases: int64
shards: list<item: struct<path: string, shard_index: int64, num_shards: int64, expected_cases_in_shard: int6 (... 47 chars omitted)
child 0, item: struct<path: string, shard_index: int64, num_shards: int64, expected_cases_in_shard: int64, complete (... 35 chars omitted)
child 0, path: string
child 1, shard_index: int64
child 2, num_shards: int64
child 3, expected_cases_in_shard: int64
child 4, completed_cases: int64
child 5, error_count: int64
to
{'expected_cases': Value('int64'), 'completed_cases': Value('int64'), 'error_count': Value('int64'), 'shards': List({'path': Value('string'), 'shard_index': Value('int64'), 'num_shards': Value('int64'), 'expected_cases_in_shard': Value('int64'), 'completed_cases': Value('int64'), 'error_count': Value('int64')}), 'records': List({'case': Value('string'), 'status': Value('string'), 'resolution': List(Value('int64')), 'frames': Value('int64'), 'fps': Value('float64'), 'view_azimuth_deg': Value('float64'), 'lighting': {'ambient': List(Value('float64')), 'directional_intensity': Value('float64'), 'directional_position': List(Value('float64')), 'point_color': List(Value('float64')), 'point_intensity': Value('float64'), 'point_position': List(Value('float64'))}, 'lit_unlit_first_frame_foreground_mae': Value('float64'), 'lit_unlit_first_frame_foreground_max_error': Value('int64'), 'lit_sha256': Value('string'), 'unlit_sha256': Value('string'), 'paint_lit_video': Value('string'), 'paint_unlit_video': Value('string'), 'hunyuan_lit_video': Value('string'), 'hunyuan_unlit_video': Value('string'), 'hunyuan_actions': {'lit': Value('string'), 'unlit': Value('string')}}), 'errors': List(Value('null'))}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Delighting Benchmark GSO-100 v1
This dataset contains a 100-case Google Scanned Objects comparison between Paint3D and Hunyuan3D-2.0. Every method/case directory has exactly the same seven-file contract:
input_image.png
input_mesh.obj
textured.glb
albedo_render.mp4
albedo_texture.png
gt_lit_render.mp4
gt_unlit_render.mp4
The two GT videos use the original GSO mesh and texture with identical normalization, camera path, and 360-degree orbit. gt_lit_render.mp4 uses strong synthetic directional and warm point lighting with directional shadows; gt_unlit_render.mp4 uses a flat/unlit pass. Both are H.264/yuv420p, 768x768, 25 FPS, 100 frames, and 4 seconds.
Layout
paint3d/<case>/: Paint3D inference plus both GT videos.hunyuan3d/<case>/: Hunyuan3D-2.0 inference plus both GT videos.validation/: rendering and full decode-validation reports.visualization/: first-frame contact sheet (input / lit GT / unlit GT).manifest.tsv: all uploaded method files and their byte sizes.
The GT files are intentionally identical across the two method branches so comparisons use exactly the same reference.
Provenance and licenses
- Source objects: Google Scanned Objects, CC BY 4.0.
- Paint3D: Paint3D, Apache-2.0 code license.
- Hunyuan3D-2.0: Hunyuan3D-2; consult its repository license for model and output terms.
Repository: ZeyuLing/Delighting-Benchmark-GSO-100-v1.
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