Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'assets-v1' 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/json/json.py", line 101, in _split_generators
                  pa_table = next(iter(self._generate_tables(**splits[0].gen_kwargs, allow_full_read=False)))[1]
                             ~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
              StopIteration
              
              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.

IDOL Commons — built together, shared with everyone

A community collection of 3D assets: every contribution gives someone else a starting point for a scene, a game or an experiment. Explore the objects, credit their contributors and share what you make.

Development status: public submissions are not open yet. The catalogue is the authoritative list of published assets; illustrative schema examples are not contributions. The application is being developed separately in IDOL Commons.

What is in the dataset?

The original, validated 3D Gaussian splat PLY from IDOL, transparent previews rendered from that result, contributor-authored descriptions and labels, verified HF account attribution, generation settings and server-recorded provenance. These PLY files are not polygon meshes or GLB files. Source images and text-to-image prompts are not distributed.

V1 accepts only results generated inside the application. A valid PLY is not, by itself, proof of IDOL provenance, originality, ownership or lawful use. HF sign-in verifies the contributing account at publication; it does not verify that account's rights in the depicted subject. Content is not represented as legally cleared or individually reviewed by the maintainer.

Licence: what CC BY 4.0 covers

Contributors offer the applicable copyright and similar rights they are entitled to license in their asset, previews and editorial metadata under CC BY 4.0. To the extent the maintainer holds rights in the compilation or original dataset documentation, those are also offered under CC BY 4.0. Software and model weights have their own licences and are not relicensed by this dataset.

The licence permits sharing and adaptation, including commercial use, subject to its conditions. It does not create copyright in unprotectable AI output, turn third-party material into the contributor's property, or clear trademark, privacy, publicity, personality, patent or other rights outside its scope. No endorsement by a depicted person, brand, model developer or HF is implied. Check the rights declaration, credits and your intended use; the licence tag is not a non-infringement guarantee.

For reuse, retain the asset title, contributor attribution, source record URL, licence link, required upstream credits and relevant notices; indicate modifications. A practical attribution is:

“Asset title” — @contributor, IDOL Commons, source record URL, CC BY 4.0. Changes: describe modifications. Additional credits: copy the record's rights.attribution when present.

This is an attribution pattern, not a fictional contribution. The full licence controls. Public-domain material remains public domain; no extra rights or restrictions are created by the record's licence field.

Contributing responsibly

Read CONTRIBUTING.md and the application's publication terms. Publication is a separate, affirmative action after inspecting the result. The form records a rights basis, public credits where required, and confirmation that the result was reviewed for third-party rights and inappropriate content. These are contributor declarations, not an automated rights audit.

Only submit content you can share under CC BY 4.0. Owning a photograph does not necessarily give you rights in a logo, character, sculpture, design or identifiable person it depicts. Generating an image with AI does not resolve those issues either. Do not upload private information, non-consensual likenesses, infringing material or content prohibited by HF's Content Policy. Source material with incompatible restrictions needs separate permission; naming its licence is not enough.

Provenance and schema

New records use 1.1.0; strict 1.0.0 records remain readable without inventing missing rights or image-origin information. The collection manifest envelope remains 1.0.0. See schema/record.schema.json, schema/publish-request.schema.json and the complete, explicitly fictional example record.

The server derives the stable ID, account, date, paths, byte counts, SHA-256 hashes, IDOL model/pipeline revisions, encoder revisions, actual parameters and preview camera. Record 1.1 distinguishes an uploaded input from an image generated by the app's pinned Z-Image-Turbo model. For an upload, an external model or prompt is not guessed. For app-generated images, the actual image model, revision and numeric settings are recorded; prompt text remains private, so full prompt-level reproduction is intentionally unavailable.

All levels forbid unknown fields, use strict types and bound lengths/ranges. Categories are controlled. Additional server checks enforce identity, ownership, cross-field consistency and real file content. Neither JSON Schema nor binary validation is a content, provenance or legal review on its own.

Files and publication consistency

collection.json                     versioned catalogue with stable sequence positions
data/records.jsonl                  canonical record export
assets/ab/<uuid>/metadata.json      per-asset canonical record
assets/ab/<uuid>/model.ply          original validated IDOL result
assets/ab/<uuid>/preview.png        transparent 1024 × 1024 render
assets/ab/<uuid>/preview-small.png  512 × 512 derivative of that render
runtimes/<sha256>.txt               installed generation-runtime package versions

Files, metadata and catalogue become visible together in one Hub commit, with parent-revision conflict checks. The viewer refreshes the catalogue and uses revision-pinned file URLs. Contributions are account-limited and identical 3D bytes are deduplicated. The current pilot caps the active catalogue at 10,000 entries; a larger collection requires sharded storage and paginated discovery.

Reports, corrections and withdrawal

Use Report on a selected object for rights, privacy, inappropriate content or a removal request. App reports are private to the maintainer and require HF sign-in to limit abuse. Include the asset ID and a concise explanation; avoid uploading sensitive evidence into public discussions or the report text. See RIGHTS-AND-REMOVAL.md.

You can also use HF's reporting channels, including its safety and copyright-notice channels, independently of app sign-in. HF repository reports are public; use the appropriate private channel for sensitive material. The dataset maintainer is @fffiloni.

Current catalogue entries and their files can be withdrawn atomically. Earlier Git commits, forks, caches and downloaded copies may remain. Validly granted CC BY permissions are not revoked by later withdrawal; a contributor cannot grant rights they never held. Sensitive cases may require repository-history remediation and HF intervention. Complete erasure, automatic legal clearance and a guaranteed response deadline are not promised.

Model and software credits

Component Source / licence scope
IDOL speridlabs/idol, model revision 2731c2291fc65a797c5cb627a5e5526fc1490902; publisher declares Apache-2.0
Optional input image generation Tongyi-MAI/Z-Image-Turbo, revision f332072aa78be7aecdf3ee76d5c247082da564a6; publisher declares Apache-2.0
IDOL image encoders DINOv3 under Meta's DINOv3 licence; FLUX.2 autoencoder identified separately as Apache-2.0 by Black Forest Labs
Collection interface Adapted from Scenario explorer by fffiloni, Apache-2.0; native splats use Spark, MIT

No model weights are included in this dataset. Model licences do not automatically license every depicted subject or generated output. The development source contains a separate component inventory and outstanding release checks; it does not claim that unresolved upstream provenance has been cleared.

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