Datasets:

luh0502
/

Marcus-avatar-data

license: other
license_name: source-dataset-terms
license_link: https://github.com/NVlabs/ffhq-dataset
pretty_name: Marcus Avatar Data
size_categories:
  - 100K<n<1M
tags:
  - face
  - relighting
  - 3dmm
  - uv-texture
  - webdataset
configs:
  - config_name: ffhq1024_rendered
    data_files: FFHQ1024/rendered/*.tar
  - config_name: ffhq1024_unwrap_texture
    data_files: FFHQ1024/unwrap_texture/*.tar
  - config_name: celebamask_hq_rendered
    data_files: CelebAMask-HQ/rendered/*.tar
  - config_name: celebamask_hq_unwrap_texture
    data_files: CelebAMask-HQ/unwrap_texture/*.tar

Marcus Avatar Data

Relit renders and unwrapped UV textures derived from FFHQ-1024 and CelebAMask-HQ. Everything is stored as uncompressed WebDataset tar shards; the sample key is the source dataset's image id (zero-padded for FFHQ, unpadded for CelebA).

Subsets

config	samples	shards	ids/shard	size
`ffhq1024_rendered`	69,999	140	500	~755 GB
`ffhq1024_unwrap_texture`	69,999	35	2000	~194 GB
`celebamask_hq_rendered`	29,994	60	500	~330 GB
`celebamask_hq_unwrap_texture`	29,994	15	2000	~83 GB

Each <subset>/shard_index.json lists every shard with its first/last id, plus any sample whose file count deviates from the expected 11 (rendered) or 9 (unwrap_texture).

Per-sample contents

rendered — 3 HDRI lighting conditions plus one even-lit bake:

key	description
`.render_hdri_{0,1,2}.png`	relit render under HDRI i
`.baked_hdri_{0,1,2}.png`	baked texture for HDRI i
`.env_hdri_{0,1,2}.png`	environment map used for HDRI i
`.baked_even.png`	baked texture under even illumination
`.info.json`	render metadata

unwrap_texture — 3DMM fit and UV unwrap:

key	description
`.obj` / `.left_eye.obj` / `.right_eye.obj`	fitted meshes
`.uv.png`	unwrapped UV texture
`.coeffs.pt`	3DMM coefficients
`.lm68_2d.pt`	68 2-D landmarks
`.trans_params.pt`	crop/align transform
`.mask.png`, `.seg_result.png`	face mask and segmentation

Loading

from datasets import load_dataset

ds = load_dataset("luh0502/Marcus-avatar-data", "ffhq1024_rendered",
                  split="train", streaming=True)
sample = next(iter(ds))
print(sample["__key__"], sample["render_hdri_0.png"].size)

Or with webdataset directly:

import webdataset as wds
url = ("pipe:curl -sL -H 'Authorization: Bearer $HF_TOKEN' "
       "https://huggingface.co/datasets/luh0502/Marcus-avatar-data/resolve/main/"
       "FFHQ1024/rendered/rendered-{000000..000139}.tar")
ds = wds.WebDataset(url).decode("pil")

Notes and known gaps

FFHQ id 45650 is absent from both FFHQ subsets — the upstream 3DMM fit never produced a texture for it, so nothing was rendered. Hence 69,999 samples rather than 70,000.
Six CelebAMask-HQ ids are absent for the same reason: 1011, 10106, 10108, 10111, 10113, 10215. Hence 29,994 samples rather than 30,000.
Renders marked failed in the manifests are included as-is and may be incomplete — FFHQ 00091, 21931, 32511, 52431 and CelebA 2796, 3511, 5974 (all but FFHQ 00091 segfaulted). Check the anomalies list in the relevant shard_index.json before using them.
<dataset>/rendered/render_results.csv is the merged per-id status manifest (69,999 / 29,994 rows); the raw per-rank logs it was reconciled from are kept under <dataset>/rendered/_logs/.

Licensing

This repository contains derived data only, not the source images. FFHQ is distributed under CC BY-NC-SA 4.0 with individual photographs remaining under their respective Flickr licenses; CelebAMask-HQ is for non-commercial research use. Both sources' terms carry over — non-commercial research only.