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Rewrite dataset card and keep one default config

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  1. README.md +55 -52
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  ---
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- pretty_name: Diffusion4D Animated Raw Assets
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  language:
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  - en
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  tags:
@@ -16,68 +16,71 @@ configs:
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  data_files:
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  - split: train
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  path: data/train-*.parquet
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- - config_name: preview_sample
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- data_files:
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- - split: train
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- path: preview_sample/train-*.parquet
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- - config_name: with_previews
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- data_files:
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- - split: train
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- path: with_previews/train-*.parquet
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- - config_name: video_sample
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- data_files:
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- - split: train
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- path: video_sample/train-*.parquet
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- - config_name: with_media
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- data_files:
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- - split: train
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- path: with_media/train-*.parquet
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  ---
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- # Diffusion4D Animated Raw Assets
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- An evolving, metadata-first mirror of animated 3D assets referenced by the
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- Diffusion4D / Objaverse-XL metadata. This initial release is intentionally
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- unfiltered: it preserves assets that may be low quality, semantically
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- irrelevant, technically invalid, duplicated by appearance, or difficult to
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- import.
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- ## Layout
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- - `assets/{format}/{asset_id}/{filename}`: raw source assets.
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- - `previews/glb/{preview_id}/preview.mp4`: available animation previews.
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- - `data/train-*.parquet`: stable, sharded Dataset Viewer table.
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- - `metadata/assets.parquet`: metadata snapshot used by the release tooling.
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- - `metadata/assets.jsonl`: lossless JSONL mirror of the table.
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- - `metadata/summary.json`: release coverage counts.
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- ## Metadata
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- Records include source URI and SHA-256, source format, download status,
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- skeleton and animation statistics, skinning and texture flags, technical QC,
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- preview paths, and placeholders for later VLM annotations.
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- `technical_pass` currently requires at least 20 bones, at least 20 animation
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- frames, skinning weights, and a detected image texture. It is a technical flag,
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- not a semantic quality label.
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- ## Release Status
 
 
 
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- This repository is uploaded incrementally. A row can exist before its raw asset
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- or preview has been mirrored. Check `asset_available`, `preview_available`, and
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- `annotation_status` before use.
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- ## Provenance And Licenses
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- The records originate from Diffusion4D / Objaverse-XL metadata and preserve the
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- original source URI. Assets come from many upstream repositories and do not
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- share one normalized license. `license_status=upstream_not_normalized` means the
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- downstream user must inspect the linked upstream repository and comply with its
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- license before redistribution or commercial use. This repository does not
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- relicense third-party assets.
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- ## Planned Curation
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- Later revisions will add four-frame contact sheets, Qwen-VL object and motion
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- descriptions, semantic classes, visual defect labels, normalized licenses,
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- duplicate groups, and curated training subsets while retaining this raw index.
 
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  ---
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+ pretty_name: Diffusion4D Animated Assets
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  language:
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  - en
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  tags:
 
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  data_files:
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  - split: train
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  path: data/train-*.parquet
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ # Diffusion4D Animated Assets
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+
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+ This dataset provides animated 3D assets referenced by Diffusion4D and
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+ Objaverse-XL in a directly browsable format. The default split contains 67,988
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+ rows. Each row includes metadata, a preview image, and a short preview video so
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+ that assets can be inspected in the Hugging Face Data Studio without first
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+ downloading the original 3D file.
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+
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+ The repository also mirrors available raw assets and keeps their original
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+ source links and hashes. The current release is intentionally broad and may
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+ contain broken, static, duplicated, or semantically irrelevant assets.
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+
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+ ## Curation In Progress
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+
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+ Our goal is to identify high-quality skeletal animations suitable for training
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+ and evaluating motion and 3D understanding models. We are currently annotating
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+ every asset with Qwen3-VL-30B-A3B-Instruct using four frames sampled from its
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+ animation.
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+
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+ The automatic annotations include:
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+
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+ - a broad semantic class and a more specific object class;
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+ - a short object description;
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+ - a description of the visible motion;
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+ - whether meaningful animation is visible and its strength;
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+ - visual quality, visible defects, and model confidence.
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+ These labels are machine generated and should not be treated as human-verified
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+ ground truth. Failed or malformed model responses will be processed again in a
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+ separate repair pass.
 
 
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+ ## Planned Animated Subset
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+ We plan to publish a separate curated subset of animated animals, humanoids,
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+ robots, and other articulated characters. Selection will combine technical
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+ metadata, visual inspection, and Qwen annotations.
 
 
 
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+ For this subset we also plan to provide:
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+ - renders from multiple camera angles;
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+ - per-frame DINO visual features;
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+ - data arranged for training models such as MocapAnything v2.
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+ ## Data Fields
 
 
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+ The table includes identifiers and source metadata, file format and hashes,
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+ animation and skeleton statistics when available, technical inspection flags,
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+ and embedded preview media. Additional Qwen annotation columns will be added
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+ after the full annotation and validation passes finish.
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+ Use availability and quality fields when filtering. A row being present does
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+ not mean that its raw asset is valid, complete, or suitable for training.
 
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+ ## Provenance And Licensing
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+ The records and official renders originate from Diffusion4D and Objaverse-XL.
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+ Raw assets come from many upstream repositories and do not share a single
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+ normalized license. Source URLs are retained where available. Users are
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+ responsible for checking the license of each upstream asset before
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+ redistribution or commercial use. This dataset does not relicense third-party
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+ content.
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+ ## Acknowledgements
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+ Please cite the original Diffusion4D and Objaverse-XL projects when using this
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+ dataset. This repository is an independent packaging and curation effort.