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These assets were generated with Tencent Hunyuan models. Most are distributed under Tencent community licenses that do not apply in the European Union, the United Kingdom or South Korea. None of the assets in this repository may be used to train or improve AI models.
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Scenario 3D Collection (Hunyuan)
393 AI-generated 3D examples made with Tencent Hunyuan models, as a companion to Scenario 3D Collection. 424 output files: 362 GLB, 31 SPZ, 31 PLY. About 14 GB with previews and source inputs.
All assets are AI-generated. Powered by Tencent Hunyuan.
License
Each row's license field names the license that applies:
license |
Model | Examples | License file |
|---|---|---|---|
tencent-hunyuan3d-2.0 |
Hunyuan3D 2.0 (incl. fast, multi-view) | 124 | LICENSE-hunyuan3d-2.0.txt |
tencent-hunyuan3d-2.1 |
Hunyuan3D 2.1 | 124 | LICENSE-hunyuan3d-2.1.txt |
tencent-hy-world-2.0 |
HY-World 2.0 (Gaussian splats) | 31 | LICENSE-hy-world-2.0.txt |
scenario-hunyuan-pro |
Hunyuan3D Pro, via Tencent Cloud | 114 | LICENSE-hunyuan-pro.txt |
No asset in this repository may be used to train or improve AI models. The three Tencent community licenses also do not apply in the EU, UK or South Korea. See NOTICE.
Metadata
data/train-00000-of-00001.parquet is the single metadata source, with one row per example. Original assets remain separate files.
inputs: structured prompt, effort, generation settings and source assets (IDs, relative paths and SHA-256 hashes).outputs: structured output formats, roles, IDs, relative paths and SHA-256 hashes.preview: embedded thumbnail for the dataset viewer;preview_fileretains the original preview path and hash.input_filesandoutput_files: convenient download URLs. Top-level prompt and effort columns simplify browsing.
inputs.settings is JSON text because parameter names and value types vary between models; parse it with json.loads. All original parameter values and types are preserved. Missing values appear as null; no defaults are inferred. Paths are relative to the repository root.
Browse and download
import json
from datasets import load_dataset
examples = load_dataset("scenario-labs/3d-collection-hunyuan", split="train")
example = examples[0]
settings = json.loads(example["inputs"]["settings"] or "{}")
source_assets = example["inputs"]["assets"]
outputs = example["outputs"]
Use huggingface_hub.snapshot_download with repo_type="dataset" to download the original files. The Hunyuan companion requires access approval and authentication.
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