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The dataset generation failed
Error code: DatasetGenerationError
Exception: ValueError
Message: Invalid string class label FaceSRDatasets@c216332588728446ae48cc553093b460b029767b
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1537, in _prepare_split_single
example = self.info.features.encode_example(record) if self.info.features is not None else record
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 2162, in encode_example
return encode_nested_example(self, example)
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1446, in encode_nested_example
{k: encode_nested_example(schema[k], obj.get(k), level=level + 1) for k in schema}
~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1469, in encode_nested_example
return schema.encode_example(obj) if obj is not None else None
~~~~~~~~~~~~~~~~~~~~~^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1144, in encode_example
example_data = self.str2int(example_data)
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1081, in str2int
output = [self._strval2int(value) for value in values]
~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1102, in _strval2int
raise ValueError(f"Invalid string class label {value}")
ValueError: Invalid string class label FaceSRDatasets@c216332588728446ae48cc553093b460b029767b
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 1382, 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 1560, 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.
image image | label class label |
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0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
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0celeba_512_validation | |
0celeba_512_validation | |
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0celeba_512_validation | |
0celeba_512_validation | |
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0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
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0celeba_512_validation | |
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0celeba_512_validation | |
0celeba_512_validation | |
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0celeba_512_validation | |
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0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
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0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
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0celeba_512_validation | |
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0celeba_512_validation | |
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0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
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0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation | |
0celeba_512_validation |
End of preview.
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Check out the documentation for more information.
FaceSRDatasets
A collection of training and testing datasets commonly used for face super-resolution (Face SR) research.
This repository includes:
FFHQ-based training data
Several public test sets widely used for benchmarking face SR and restoration models
All data is sourced from public datasets.
Disclaimer
This repository does not contain any proprietary or private data.
All datasets included here are publicly available from their original creators.
Each dataset is governed by its own original license — users are responsible for ensuring compliance with those terms.
This collection only provides repackaged and standardized versions for research and benchmarking.
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