Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
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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