card + attribution
Browse files- .gitattributes +1 -0
- README.md +37 -1
- meta/attribution.csv +3 -0
.gitattributes
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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meta/attribution.csv filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license:
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---
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---
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license: cc-by-4.0
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pretty_name: grow3d training data (CC-licensed Objaverse subset)
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tags:
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- 3d
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- image-to-3d
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- text-to-3d
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size_categories:
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- 100K<n<1M
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---
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# grow3d data
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Training data of [grow3d](https://huggingface.co/Asilarkness/grow3d-runs) (image/text-to-3D geometry):
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objects from the ObjaverseXL-Sketchfab part of [TRELLIS-500K](https://huggingface.co/datasets/JeffreyXiang/TRELLIS-500K),
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**restricted to assets whose Sketchfab license allows redistribution of derived data: CC0, CC-BY 4.0, CC-BY-SA 4.0.**
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Non-commercial (CC-BY-NC*) and no-derivatives assets are excluded.
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## Licensing and attribution
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Every file derived from an asset is distributed under that asset's license. `meta/attribution.csv` lists,
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for every included object: `sha256` (the id used in all file names), Sketchfab `uid` and `url`, the model
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`name`, the `author` and `author_url`, and the `license` (`cc0`, `by` = CC-BY 4.0, `by-sa` = CC-BY-SA 4.0).
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Assets under CC-BY-SA keep that license (ShareAlike) for their derived files. Licenses come from the
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Objaverse annotations (ODC-By).
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## Contents
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`data/shard_*.tar` (+ `.json` with the object list). Per object `sha`:
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| path | content |
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|---|---|
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| `lat512/<sha>.npz` | TRELLIS.2 SC-VAE shape latent (f16c32) at 512^3: sparse `coords` (N,3) on a 32^3 grid, `feats` (N,32) |
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| `lat1024/<sha>.npz` | same at 1024^3 (64^3 grid) |
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| `cond/<sha>/<i>.webp`, `views.json` | 12 RGBA conditioning renders (base colour, Lambert, nvdiffrast) and their cameras (TRELLIS.2 sampling) |
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| `gt/<sha>.npz` | ground-truth mesh (validation objects only) |
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Meshes are normalised to [-0.5, 0.5]^3 in Blender's Z-up frame, like TRELLIS.2. Captions are not
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duplicated here: use the `captions` column of TRELLIS-500K.
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meta/attribution.csv
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version https://git-lfs.github.com/spec/v1
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oid sha256:fc7f12ca0bd12bdb575cf9a3fdd93cd0852c6f2e0179e306e501f908b4e23fff
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size 34538896
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