The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/harbor/harbor.py", line 171, in _split_generators
raise DataFilesNotFoundError("No task.toml or instruction.md files found")
datasets.exceptions.DataFilesNotFoundError: No task.toml or instruction.md files found
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/split_names.py", line 68, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
SplatCast sample scenes
The trained 3D Gaussian Splatting scenes that SplatCast, a Mac app that trains splats on Apple silicon, shows in its Inspiration gallery. The app downloads a scene from here the first time someone opens it.
Each folder holds scene.splatcast, its credits (ATTRIBUTION.md), its licence and scene-provenance.json.
Format. .splatcast is SplatCast's compact scene format: a 24-byte header ("SCST", version, splat count, SH coefficient count, flags, SH scale) followed by an LZFSE-compressed block of float32 positions, float16 scales, rotations, opacities and DC colour, and int8 higher-order spherical harmonics. On Saint Joseph's Oratory it is 4× smaller than the PLY and renders at 67 dB from the original.
| Folder | Scene | Splats | Licence |
|---|---|---|---|
ClockTower |
Clock Tower, Montreal | 1,150,558 | CC BY 4.0 |
Oratory |
Saint Joseph's Oratory, Montreal | 1,261,862 | CC BY 4.0 |
CityHall |
Montreal City Hall | 1,928,048 | CC BY 4.0 |
Riverview |
Riverview Room (Eyeful Tower) | 3,274,372 | MIT |
EyefulApartment |
Apartment (Eyeful Tower) | 3,169,091 | MIT |
Credits. The Montreal scenes were trained from photos in Heritage3DMtl by Rucha Shende, Sudhir Mudur, Tiberiu Popa and Kaustubha Mendhurwar, Concordia University (https://zenodo.org/records/17063337), CC BY 4.0; the trained scenes are offered under the same licence. The Eyeful Tower scenes: copyright (c) Meta Platforms, Inc. and affiliates (https://github.com/facebookresearch/EyefulTower), MIT licence. Changes are described in each folder's ATTRIBUTION.md. No endorsement by the photographers, Concordia University, Meta or the places shown is implied.
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