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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1531, in _prepare_split_single
for key, record in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 127, in _generate_examples
for example_idx, example in enumerate(self._get_pipeline_from_tar(tar_path, tar_iterator)):
~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
for filename, f in tar_iterator:
^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/track.py", line 49, in __iter__
for x in self.generator(*self.args):
~~~~~~~~~~~~~~^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1405, in _iter_from_urlpath
with xopen(urlpath, "rb", download_config=download_config, block_size=0) as f:
~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 982, in xopen
file_obj = fs.open(paths[0], mode)
File "<string>", line 3, in open
File "/usr/local/lib/python3.14/unittest/mock.py", line 1176, in __call__
return self._mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1180, in _mock_call
return self._execute_mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1247, in _execute_mock_call
result = effect(*args, **kwargs)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 786, in wrapped
tracker.files[urlpath] = {"read": 0, "size": int(f.size)}
~~~^^^^^^^^
TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
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/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1393, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1571, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
baked_even.png image | baked_hdri_0.png image | baked_hdri_1.png image | baked_hdri_2.png image | env_hdri_0.png image | env_hdri_1.png image | env_hdri_2.png image | info.json dict | render_hdri_0.png image | render_hdri_1.png image | render_hdri_2.png image | __key__ string | __url__ string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
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... | 20 | hf://datasets/luh0502/Marcus-avatar-data@2245974d3d6ddacc624f68bab21aa4061e71cfc3/CelebAMask-HQ/rendered/rendered-000000.tar | ||||||||||
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... | 21 | hf://datasets/luh0502/Marcus-avatar-data@2245974d3d6ddacc624f68bab21aa4061e71cfc3/CelebAMask-HQ/rendered/rendered-000000.tar | ||||||||||
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... | 23 | hf://datasets/luh0502/Marcus-avatar-data@2245974d3d6ddacc624f68bab21aa4061e71cfc3/CelebAMask-HQ/rendered/rendered-000000.tar | ||||||||||
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... | 24 | hf://datasets/luh0502/Marcus-avatar-data@2245974d3d6ddacc624f68bab21aa4061e71cfc3/CelebAMask-HQ/rendered/rendered-000000.tar | ||||||||||
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... | 25 | hf://datasets/luh0502/Marcus-avatar-data@2245974d3d6ddacc624f68bab21aa4061e71cfc3/CelebAMask-HQ/rendered/rendered-000000.tar | ||||||||||
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... | 26 | hf://datasets/luh0502/Marcus-avatar-data@2245974d3d6ddacc624f68bab21aa4061e71cfc3/CelebAMask-HQ/rendered/rendered-000000.tar | ||||||||||
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... | 28 | hf://datasets/luh0502/Marcus-avatar-data@2245974d3d6ddacc624f68bab21aa4061e71cfc3/CelebAMask-HQ/rendered/rendered-000000.tar | ||||||||||
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... | 29 | hf://datasets/luh0502/Marcus-avatar-data@2245974d3d6ddacc624f68bab21aa4061e71cfc3/CelebAMask-HQ/rendered/rendered-000000.tar | ||||||||||
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... | 30 | hf://datasets/luh0502/Marcus-avatar-data@2245974d3d6ddacc624f68bab21aa4061e71cfc3/CelebAMask-HQ/rendered/rendered-000000.tar | ||||||||||
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... | 31 | hf://datasets/luh0502/Marcus-avatar-data@2245974d3d6ddacc624f68bab21aa4061e71cfc3/CelebAMask-HQ/rendered/rendered-000000.tar | ||||||||||
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... | 32 | hf://datasets/luh0502/Marcus-avatar-data@2245974d3d6ddacc624f68bab21aa4061e71cfc3/CelebAMask-HQ/rendered/rendered-000000.tar | ||||||||||
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... | 33 | hf://datasets/luh0502/Marcus-avatar-data@2245974d3d6ddacc624f68bab21aa4061e71cfc3/CelebAMask-HQ/rendered/rendered-000000.tar | ||||||||||
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... | 34 | hf://datasets/luh0502/Marcus-avatar-data@2245974d3d6ddacc624f68bab21aa4061e71cfc3/CelebAMask-HQ/rendered/rendered-000000.tar | ||||||||||
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... | 35 | hf://datasets/luh0502/Marcus-avatar-data@2245974d3d6ddacc624f68bab21aa4061e71cfc3/CelebAMask-HQ/rendered/rendered-000000.tar | ||||||||||
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"focal_length_mm": 1015,
... | 36 | hf://datasets/luh0502/Marcus-avatar-data@2245974d3d6ddacc624f68bab21aa4061e71cfc3/CelebAMask-HQ/rendered/rendered-000000.tar | ||||||||||
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... | 37 | hf://datasets/luh0502/Marcus-avatar-data@2245974d3d6ddacc624f68bab21aa4061e71cfc3/CelebAMask-HQ/rendered/rendered-000000.tar | ||||||||||
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... | 38 | hf://datasets/luh0502/Marcus-avatar-data@2245974d3d6ddacc624f68bab21aa4061e71cfc3/CelebAMask-HQ/rendered/rendered-000000.tar | ||||||||||
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... | 39 | hf://datasets/luh0502/Marcus-avatar-data@2245974d3d6ddacc624f68bab21aa4061e71cfc3/CelebAMask-HQ/rendered/rendered-000000.tar | ||||||||||
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... | 40 | hf://datasets/luh0502/Marcus-avatar-data@2245974d3d6ddacc624f68bab21aa4061e71cfc3/CelebAMask-HQ/rendered/rendered-000000.tar | ||||||||||
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... | 41 | hf://datasets/luh0502/Marcus-avatar-data@2245974d3d6ddacc624f68bab21aa4061e71cfc3/CelebAMask-HQ/rendered/rendered-000000.tar | ||||||||||
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... | 42 | hf://datasets/luh0502/Marcus-avatar-data@2245974d3d6ddacc624f68bab21aa4061e71cfc3/CelebAMask-HQ/rendered/rendered-000000.tar | ||||||||||
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... | 43 | hf://datasets/luh0502/Marcus-avatar-data@2245974d3d6ddacc624f68bab21aa4061e71cfc3/CelebAMask-HQ/rendered/rendered-000000.tar | ||||||||||
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... | 44 | hf://datasets/luh0502/Marcus-avatar-data@2245974d3d6ddacc624f68bab21aa4061e71cfc3/CelebAMask-HQ/rendered/rendered-000000.tar | ||||||||||
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... | 45 | hf://datasets/luh0502/Marcus-avatar-data@2245974d3d6ddacc624f68bab21aa4061e71cfc3/CelebAMask-HQ/rendered/rendered-000000.tar | ||||||||||
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... | 46 | hf://datasets/luh0502/Marcus-avatar-data@2245974d3d6ddacc624f68bab21aa4061e71cfc3/CelebAMask-HQ/rendered/rendered-000000.tar | ||||||||||
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... | 47 | hf://datasets/luh0502/Marcus-avatar-data@2245974d3d6ddacc624f68bab21aa4061e71cfc3/CelebAMask-HQ/rendered/rendered-000000.tar | ||||||||||
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"focal_length_mm": 1015,
... | 48 | hf://datasets/luh0502/Marcus-avatar-data@2245974d3d6ddacc624f68bab21aa4061e71cfc3/CelebAMask-HQ/rendered/rendered-000000.tar | ||||||||||
{
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"focal_length_mm": 1015,
... | 49 | hf://datasets/luh0502/Marcus-avatar-data@2245974d3d6ddacc624f68bab21aa4061e71cfc3/CelebAMask-HQ/rendered/rendered-000000.tar |
End of preview.
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
45650is 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
failedin the manifests are included as-is and may be incomplete — FFHQ00091,21931,32511,52431and CelebA2796,3511,5974(all but FFHQ00091segfaulted). Check theanomalieslist in the relevantshard_index.jsonbefore using them. <dataset>/rendered/render_results.csvis 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.
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