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/webdataset/webdataset.py", line 81, in _split_generators
first_examples = list(islice(pipeline, self.NUM_EXAMPLES_FOR_FEATURES_INFERENCE))
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
fs: fsspec.AbstractFileSystem = fsspec.filesystem("memory")
~~~~~~~~~~~~~~~~~^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 302, in filesystem
cls = get_filesystem_class(protocol)
File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 239, in get_filesystem_class
raise ValueError(f"Protocol not known: {protocol}")
ValueError: Protocol not known: memory
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 71, 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.
SWH TRELLIS.2 dataset (400K)
TRELLIS.2-ready latents + conditioning renders for 397,797 high-quality 3D meshes, filtered from the ~10.16M Software-Heritage v2 GitHub 3D-mesh corpus.
Pipeline
10.16M SWH meshes → 4-view render + LAION-4.5 aesthetic filter (1.07M) → Qwen 6-axis VLM judge (400,698 recommended) → TRELLIS.2 encode + 16-view cond render
Contents (per-modality webdataset tar shards)
| path | files | notes |
|---|---|---|
shape_latents/shape512/ |
399,302 | shape latent @res 512 |
shape_latents/shape1024/ |
399,241 | shape latent @res 1024 |
ss_latents/ss64/ |
399,241 | sparse-structure latent @64 |
pbr_latents/pbr512/ |
309,180 | PBR/texture latent @512 (optional) |
renders/ |
398,240 | 16 Hammersley views @1024px webp + transforms.json |
manifest.parquet |
— | per-sha: ext, 6-axis judge scores, category/style, modality flags |
complete_shas.csv |
397,797 | sha256 with all 3 core latents + render |
Each .tar shard contains <sha256>.npz (latents) or <sha256>/ dirs (renders); untar to reconstruct the standard TRELLIS.2 tree.
License
Meshes originate from public GitHub repositories and retain their original per-repo licenses; this release provides derived latents/renders for research. See manifest.parquet for provenance keys.
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