SynthFaces: Balanced Large Scale Human Dataset
Paper • 2610.40119 • Published • 1
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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 1539, in _prepare_split_single
for key, record in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 621, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 131, 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 1419, 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 976, 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 794, 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 1379, 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 956, 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 1401, 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 1579, 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.
png image | json dict | __key__ string | __url__ string |
|---|---|---|---|
{
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"age_name": "50-59",
"race_name": "Southeast Asian",
"gender_name": "Male"
} | 0_0 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
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"age_name": "50-59",
"race_name": "Southeast Asian",
"gender_name": "Male"
} | 0_1 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
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"race_name": "Southeast Asian",
"gender_name": "Male"
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{
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"race_name": "Southeast Asian",
"gender_name": "Male"
} | 0_3 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
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{
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} | 0_5 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
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{
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} | 0_7 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
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"race_name": "Southeast Asian",
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} | 0_8 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
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"age_name": "50-59",
"race_name": "Southeast Asian",
"gender_name": "Male"
} | 0_9 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
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"age_name": "30-39",
"race_name": "Black",
"gender_name": "Female"
} | 1_0 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
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"race_name": "Black",
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} | 1_1 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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} | 12_0 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
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} | 12_1 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
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"race_name": "Latino_Hispanic",
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} | 12_2 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
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"race_name": "Latino_Hispanic",
"gender_name": "Female"
} | 12_3 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
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"age_name": "20-29",
"race_name": "Latino_Hispanic",
"gender_name": "Female"
} | 12_4 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
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"age_name": "20-29",
"race_name": "Latino_Hispanic",
"gender_name": "Female"
} | 12_5 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 12,
"age": 3,
"race": 2,
"gender": 1,
"age_name": "20-29",
"race_name": "Latino_Hispanic",
"gender_name": "Female"
} | 12_6 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
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"gender": 1,
"age_name": "20-29",
"race_name": "Latino_Hispanic",
"gender_name": "Female"
} | 12_7 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
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"age_name": "20-29",
"race_name": "Latino_Hispanic",
"gender_name": "Female"
} | 12_8 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
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"age": 3,
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"age_name": "20-29",
"race_name": "Latino_Hispanic",
"gender_name": "Female"
} | 12_9 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
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"gender": 0,
"age_name": "3-9",
"race_name": "Latino_Hispanic",
"gender_name": "Male"
} | 14_0 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
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"age_name": "3-9",
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"gender_name": "Male"
} | 14_1 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
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"gender_name": "Male"
} | 14_2 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
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} | 14_3 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
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} | 14_4 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
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"age_name": "3-9",
"race_name": "Latino_Hispanic",
"gender_name": "Male"
} | 14_5 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
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"age_name": "3-9",
"race_name": "Latino_Hispanic",
"gender_name": "Male"
} | 14_6 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 14,
"age": 1,
"race": 2,
"gender": 0,
"age_name": "3-9",
"race_name": "Latino_Hispanic",
"gender_name": "Male"
} | 14_7 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 14,
"age": 1,
"race": 2,
"gender": 0,
"age_name": "3-9",
"race_name": "Latino_Hispanic",
"gender_name": "Male"
} | 14_8 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 14,
"age": 1,
"race": 2,
"gender": 0,
"age_name": "3-9",
"race_name": "Latino_Hispanic",
"gender_name": "Male"
} | 14_9 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 15,
"age": 7,
"race": 1,
"gender": 1,
"age_name": "60-69",
"race_name": "Black",
"gender_name": "Female"
} | 15_0 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 15,
"age": 7,
"race": 1,
"gender": 1,
"age_name": "60-69",
"race_name": "Black",
"gender_name": "Female"
} | 15_1 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
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"race_name": "Black",
"gender_name": "Female"
} | 15_2 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 15,
"age": 7,
"race": 1,
"gender": 1,
"age_name": "60-69",
"race_name": "Black",
"gender_name": "Female"
} | 15_3 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 15,
"age": 7,
"race": 1,
"gender": 1,
"age_name": "60-69",
"race_name": "Black",
"gender_name": "Female"
} | 15_4 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 15,
"age": 7,
"race": 1,
"gender": 1,
"age_name": "60-69",
"race_name": "Black",
"gender_name": "Female"
} | 15_5 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 15,
"age": 7,
"race": 1,
"gender": 1,
"age_name": "60-69",
"race_name": "Black",
"gender_name": "Female"
} | 15_6 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 15,
"age": 7,
"race": 1,
"gender": 1,
"age_name": "60-69",
"race_name": "Black",
"gender_name": "Female"
} | 15_7 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 15,
"age": 7,
"race": 1,
"gender": 1,
"age_name": "60-69",
"race_name": "Black",
"gender_name": "Female"
} | 15_8 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 15,
"age": 7,
"race": 1,
"gender": 1,
"age_name": "60-69",
"race_name": "Black",
"gender_name": "Female"
} | 15_9 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 16,
"age": 6,
"race": 1,
"gender": 1,
"age_name": "50-59",
"race_name": "Black",
"gender_name": "Female"
} | 16_0 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 16,
"age": 6,
"race": 1,
"gender": 1,
"age_name": "50-59",
"race_name": "Black",
"gender_name": "Female"
} | 16_1 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 16,
"age": 6,
"race": 1,
"gender": 1,
"age_name": "50-59",
"race_name": "Black",
"gender_name": "Female"
} | 16_2 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 16,
"age": 6,
"race": 1,
"gender": 1,
"age_name": "50-59",
"race_name": "Black",
"gender_name": "Female"
} | 16_3 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 16,
"age": 6,
"race": 1,
"gender": 1,
"age_name": "50-59",
"race_name": "Black",
"gender_name": "Female"
} | 16_4 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 16,
"age": 6,
"race": 1,
"gender": 1,
"age_name": "50-59",
"race_name": "Black",
"gender_name": "Female"
} | 16_5 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 16,
"age": 6,
"race": 1,
"gender": 1,
"age_name": "50-59",
"race_name": "Black",
"gender_name": "Female"
} | 16_6 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 16,
"age": 6,
"race": 1,
"gender": 1,
"age_name": "50-59",
"race_name": "Black",
"gender_name": "Female"
} | 16_7 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 16,
"age": 6,
"race": 1,
"gender": 1,
"age_name": "50-59",
"race_name": "Black",
"gender_name": "Female"
} | 16_8 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 16,
"age": 6,
"race": 1,
"gender": 1,
"age_name": "50-59",
"race_name": "Black",
"gender_name": "Female"
} | 16_9 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 17,
"age": 5,
"race": 1,
"gender": 1,
"age_name": "40-49",
"race_name": "Black",
"gender_name": "Female"
} | 17_0 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 17,
"age": 5,
"race": 1,
"gender": 1,
"age_name": "40-49",
"race_name": "Black",
"gender_name": "Female"
} | 17_1 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 17,
"age": 5,
"race": 1,
"gender": 1,
"age_name": "40-49",
"race_name": "Black",
"gender_name": "Female"
} | 17_2 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 17,
"age": 5,
"race": 1,
"gender": 1,
"age_name": "40-49",
"race_name": "Black",
"gender_name": "Female"
} | 17_3 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 17,
"age": 5,
"race": 1,
"gender": 1,
"age_name": "40-49",
"race_name": "Black",
"gender_name": "Female"
} | 17_4 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 17,
"age": 5,
"race": 1,
"gender": 1,
"age_name": "40-49",
"race_name": "Black",
"gender_name": "Female"
} | 17_5 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 17,
"age": 5,
"race": 1,
"gender": 1,
"age_name": "40-49",
"race_name": "Black",
"gender_name": "Female"
} | 17_6 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 17,
"age": 5,
"race": 1,
"gender": 1,
"age_name": "40-49",
"race_name": "Black",
"gender_name": "Female"
} | 17_7 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 17,
"age": 5,
"race": 1,
"gender": 1,
"age_name": "40-49",
"race_name": "Black",
"gender_name": "Female"
} | 17_8 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 17,
"age": 5,
"race": 1,
"gender": 1,
"age_name": "40-49",
"race_name": "Black",
"gender_name": "Female"
} | 17_9 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 20,
"age": 0,
"race": 0,
"gender": 1,
"age_name": "0-2",
"race_name": "White",
"gender_name": "Female"
} | 20_0 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 20,
"age": 0,
"race": 0,
"gender": 1,
"age_name": "0-2",
"race_name": "White",
"gender_name": "Female"
} | 20_1 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 20,
"age": 0,
"race": 0,
"gender": 1,
"age_name": "0-2",
"race_name": "White",
"gender_name": "Female"
} | 20_2 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 20,
"age": 0,
"race": 0,
"gender": 1,
"age_name": "0-2",
"race_name": "White",
"gender_name": "Female"
} | 20_3 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 20,
"age": 0,
"race": 0,
"gender": 1,
"age_name": "0-2",
"race_name": "White",
"gender_name": "Female"
} | 20_4 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 20,
"age": 0,
"race": 0,
"gender": 1,
"age_name": "0-2",
"race_name": "White",
"gender_name": "Female"
} | 20_5 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 20,
"age": 0,
"race": 0,
"gender": 1,
"age_name": "0-2",
"race_name": "White",
"gender_name": "Female"
} | 20_6 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 20,
"age": 0,
"race": 0,
"gender": 1,
"age_name": "0-2",
"race_name": "White",
"gender_name": "Female"
} | 20_7 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 20,
"age": 0,
"race": 0,
"gender": 1,
"age_name": "0-2",
"race_name": "White",
"gender_name": "Female"
} | 20_8 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 20,
"age": 0,
"race": 0,
"gender": 1,
"age_name": "0-2",
"race_name": "White",
"gender_name": "Female"
} | 20_9 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 21,
"age": 8,
"race": 0,
"gender": 1,
"age_name": "70+",
"race_name": "White",
"gender_name": "Female"
} | 21_0 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 21,
"age": 8,
"race": 0,
"gender": 1,
"age_name": "70+",
"race_name": "White",
"gender_name": "Female"
} | 21_1 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 21,
"age": 8,
"race": 0,
"gender": 1,
"age_name": "70+",
"race_name": "White",
"gender_name": "Female"
} | 21_2 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 21,
"age": 8,
"race": 0,
"gender": 1,
"age_name": "70+",
"race_name": "White",
"gender_name": "Female"
} | 21_3 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 21,
"age": 8,
"race": 0,
"gender": 1,
"age_name": "70+",
"race_name": "White",
"gender_name": "Female"
} | 21_4 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 21,
"age": 8,
"race": 0,
"gender": 1,
"age_name": "70+",
"race_name": "White",
"gender_name": "Female"
} | 21_5 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 21,
"age": 8,
"race": 0,
"gender": 1,
"age_name": "70+",
"race_name": "White",
"gender_name": "Female"
} | 21_6 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 21,
"age": 8,
"race": 0,
"gender": 1,
"age_name": "70+",
"race_name": "White",
"gender_name": "Female"
} | 21_7 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 21,
"age": 8,
"race": 0,
"gender": 1,
"age_name": "70+",
"race_name": "White",
"gender_name": "Female"
} | 21_8 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar | |
{
"identity": 21,
"age": 8,
"race": 0,
"gender": 1,
"age_name": "70+",
"race_name": "White",
"gender_name": "Female"
} | 21_9 | hf://datasets/shredder67/synthfaces-faces-balanced@732b1715aa2058f7b03880e60a9b90daed65f198/data/train-00000-of-00061.tar |
End of preview.
SynthFaces: balanced synthetic faces
Synthetic face dataset from the paper SynthFaces (accepted to BMVC 2026), arXiv:2610.40119. Code: ControlGenAI/SynthFaces. Identity sampler weights: shredder67/id-flow.
Contents
- 15,054 synthetic identities, 10 images each: 150,540 images, 512x512 PNG.
<id>_0is the base face generated from the sampled identity embedding (ID-Flow, then Arc2Face).<id>_1to<id>_9are variations of the same identity.- Every identity has a label
[age, race, gender](FairFace categories) shared by its 10 images.
Format
WebDataset tar shards in data/ (250 identities per shard). Each sample consists of:
<id>_<k>.png: the image<id>_<k>.json:{"identity", "age", "race", "gender", "age_name", "race_name", "gender_name"}
labels.jsonl in the repo root has the same labels for all 150,540 images (field image is <id>/<id>_<k>.png).
from datasets import load_dataset
ds = load_dataset("shredder67/synthfaces-faces-balanced", split="train", streaming=True)
sample = next(iter(ds))
sample["png"], sample["json"]
Label vocabularies
- age:
0-2, 3-9, 10-19, 20-29, 30-39, 40-49, 50-59, 60-69, 70+(ids 0 to 8) - race:
White, Black, Latino_Hispanic, East Asian, Southeast Asian, Indian, Middle Eastern(ids 0 to 6) - gender:
Male, Female(ids 0, 1)
Label counts (images)
| age | count | race | count | gender | count |
|---|---|---|---|---|---|
| 0-2 | 2,770 | White | 25,580 | Male | 68,870 |
| 3-9 | 22,290 | Black | 18,500 | Female | 81,670 |
| 10-19 | 25,690 | Latino_Hispanic | 24,510 | ||
| 20-29 | 21,540 | East Asian | 20,700 | ||
| 30-39 | 19,690 | Southeast Asian | 21,260 | ||
| 40-49 | 19,500 | Indian | 18,790 | ||
| 50-59 | 18,090 | Middle Eastern | 21,200 | ||
| 60-69 | 15,520 | ||||
| 70+ | 5,450 |
Citation
See the GitHub repository for the BibTeX entry.
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