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The dataset generation failed
Error code: DatasetGenerationError
Exception: HfHubHTTPError
Message: 502 Server Error: Bad Gateway for url: https://huggingface.co/api/datasets/Haitao999/things-eeg/tree/f45948e37fb83c3bc415ffd5868f5a0c98c62015/Image_set_Resize%2Ftrain_images%2F00224_candelabra?recursive=False&expand=False
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_http.py", line 406, in hf_raise_for_status
response.raise_for_status()
File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/models.py", line 1024, in raise_for_status
raise HTTPError(http_error_msg, response=self)
requests.exceptions.HTTPError: 502 Server Error: Bad Gateway for url: https://huggingface.co/api/datasets/Haitao999/things-eeg/tree/f45948e37fb83c3bc415ffd5868f5a0c98c62015/Image_set_Resize%2Ftrain_images%2F00224_candelabra?recursive=False&expand=False
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1626, in _prepare_split_single
writer.write(example, key)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 538, in write
self.write_examples_on_file()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 496, in write_examples_on_file
self.write_batch(batch_examples=batch_examples)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 610, in write_batch
self.write_table(pa_table, writer_batch_size)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 625, in write_table
pa_table = embed_table_storage(pa_table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2271, in embed_table_storage
arrays = [
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2272, in <listcomp>
embed_array_storage(table[name], feature) if require_storage_embed(feature) else table[name]
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1796, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1796, in <listcomp>
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2141, in embed_array_storage
return feature.embed_storage(array)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/image.py", line 272, in embed_storage
[
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/image.py", line 273, in <listcomp>
(path_to_bytes(x["path"]) if x["bytes"] is None else x["bytes"]) if x is not None else None
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/py_utils.py", line 311, in wrapper
return func(value) if value is not None else None
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/image.py", line 267, in path_to_bytes
with xopen(path, "rb") as f:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 949, in xopen
file_obj = fsspec.open(file, mode=mode, *args, **kwargs).open()
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/core.py", line 135, in open
return self.__enter__()
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/core.py", line 103, in __enter__
f = self.fs.open(self.path, mode=mode)
File "<string>", line 3, in open
File "/usr/local/lib/python3.9/unittest/mock.py", line 1092, in __call__
return self._mock_call(*args, **kwargs)
File "/usr/local/lib/python3.9/unittest/mock.py", line 1096, in _mock_call
return self._execute_mock_call(*args, **kwargs)
File "/usr/local/lib/python3.9/unittest/mock.py", line 1157, in _execute_mock_call
result = effect(*args, **kwargs)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 848, in wrapped
f = fs_open(self, urlpath, mode, *args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/spec.py", line 1293, in open
f = self._open(
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 275, in _open
return HfFileSystemFile(self, path, mode=mode, revision=revision, block_size=block_size, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 947, in __init__
self.details = fs.info(self.resolved_path.unresolve(), expand_info=False)
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 711, in info
self.ls(parent_path, expand_info=False)
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 372, in ls
out = self._ls_tree(path, refresh=refresh, revision=revision, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 463, in _ls_tree
for path_info in tree:
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_api.py", line 3028, in list_repo_tree
for path_info in paginate(path=tree_url, headers=headers, params={"recursive": recursive, "expand": expand}):
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_pagination.py", line 37, in paginate
hf_raise_for_status(r)
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_http.py", line 477, in hf_raise_for_status
raise _format(HfHubHTTPError, str(e), response) from e
huggingface_hub.errors.HfHubHTTPError: 502 Server Error: Bad Gateway for url: https://huggingface.co/api/datasets/Haitao999/things-eeg/tree/f45948e37fb83c3bc415ffd5868f5a0c98c62015/Image_set_Resize%2Ftrain_images%2F00224_candelabra?recursive=False&expand=False
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 1433, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 989, in stream_convert_to_parquet
builder._prepare_split(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1487, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1644, 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 |
|---|---|
000001_aardvark
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000001_aardvark
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000001_aardvark
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000001_aardvark
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000001_aardvark
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000001_aardvark
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000001_aardvark
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000001_aardvark
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000001_aardvark
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000001_aardvark
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200002_abacus
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200002_abacus
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200002_abacus
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200002_abacus
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200002_abacus
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200002_abacus
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200002_abacus
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200002_abacus
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200002_abacus
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200002_abacus
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400003_accordion
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400003_accordion
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400003_accordion
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400003_accordion
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400003_accordion
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400003_accordion
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400003_accordion
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400003_accordion
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400003_accordion
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400003_accordion
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600004_acorn
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600004_acorn
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600004_acorn
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600004_acorn
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600004_acorn
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600004_acorn
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600004_acorn
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600004_acorn
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600004_acorn
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600004_acorn
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800005_air_conditioner
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800005_air_conditioner
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800005_air_conditioner
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800005_air_conditioner
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800005_air_conditioner
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800005_air_conditioner
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800005_air_conditioner
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800005_air_conditioner
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800005_air_conditioner
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800005_air_conditioner
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1000006_air_mattress
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1000006_air_mattress
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1000006_air_mattress
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1000006_air_mattress
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1000006_air_mattress
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1000006_air_mattress
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1000006_air_mattress
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1000006_air_mattress
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1000006_air_mattress
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1000006_air_mattress
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1200007_air_pump
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1200007_air_pump
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1200007_air_pump
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1200007_air_pump
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1200007_air_pump
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1200007_air_pump
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1200007_air_pump
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1200007_air_pump
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1200007_air_pump
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1200007_air_pump
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1400008_airbag
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1400008_airbag
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1400008_airbag
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1400008_airbag
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1400008_airbag
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1400008_airbag
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1400008_airbag
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1400008_airbag
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1400008_airbag
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1400008_airbag
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1600009_airboat
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1600009_airboat
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1600009_airboat
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1600009_airboat
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1600009_airboat
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1600009_airboat
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1600009_airboat
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1600009_airboat
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1600009_airboat
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1600009_airboat
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1800010_airplane
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1800010_airplane
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1800010_airplane
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1800010_airplane
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1800010_airplane
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1800010_airplane
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1800010_airplane
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1800010_airplane
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1800010_airplane
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1800010_airplane
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End of preview.
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(https://huggingface.co/docs/hub/datasets-cards)
THINGS-EEG
This dataset is a processed version of THINGS-EEG, derived from the paper Bridging the Vision-Brain Gap with an Uncertainty-Aware Blur Prior (CVPR 2025). In this version, the EEG data is stored in float16 format, reducing the storage size by half. The original official dataset can be accessed from the OSF repository.
Original official dataset:
Citation
@InProceedings{Wu2025UBP,
title = {Bridging the Vision-Brain Gap with an Uncertainty-Aware Blur Prior},
author = {Wu, Haitao and Li, Qing and Zhang, Changqing and He, Zhen and Ying, Xiaomin},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2025}
}
@article{gifford2022large,
title={A large and rich EEG dataset for modeling human visual object recognition},
author={Gifford, Alessandro T and Dwivedi, Kshitij and Roig, Gemma and Cichy, Radoslaw M},
journal={NeuroImage},
volume={264},
pages={119754},
year={2022},
publisher={Elsevier}
}
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