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The dataset generation failed
Error code: DatasetGenerationError
Exception: BadZipFile
Message: File is not a zip file
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: 500 Server Error: Internal Server Error for url: https://huggingface.co/datasets/BangumiBase/arifuretashokugyoudesekaisaikyou2ndseason/resolve/33bb5fc0ad8b9df5da1c02f8ff5aebe38122b243/27/dataset.zip
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 1625, in _prepare_split_single
writer.write(example, key)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 537, in write
self.write_examples_on_file()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 495, 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 609, 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 624, in write_table
pa_table = embed_table_storage(pa_table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2270, in embed_table_storage
arrays = [
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2271, 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 1795, 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 1795, 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 2140, in embed_array_storage
return feature.embed_storage(array)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/image.py", line 273, in embed_storage
[
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/image.py", line 274, 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 309, 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 268, 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 948, 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 "/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/fsspec/implementations/zip.py", line 129, in _open
out = self.zip.open(path, mode.strip("b"), force_zip64=self.force_zip_64)
File "/usr/local/lib/python3.9/zipfile.py", line 1527, in open
fheader = zef_file.read(sizeFileHeader)
File "/usr/local/lib/python3.9/zipfile.py", line 744, in read
data = self._file.read(n)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 808, in track_read
out = f_read(*args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 757, in read
return super().read(length)
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/spec.py", line 1846, in read
out = self.cache._fetch(self.loc, self.loc + length)
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/caching.py", line 189, in _fetch
self.cache = self.fetcher(start, end) # new block replaces old
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 720, in _fetch_range
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: 500 Server Error: Internal Server Error for url: https://huggingface.co/datasets/BangumiBase/arifuretashokugyoudesekaisaikyou2ndseason/resolve/33bb5fc0ad8b9df5da1c02f8ff5aebe38122b243/27/dataset.zip (Request ID: Root=1-67ad262c-6adbf96e1b98068a0857211b;5b5e97ab-fc30-4d78-8942-50f7d1b09970)
The request is taking longer than expected, please try again later.
During handling of the above exception, another exception occurred:
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: 500 Server Error: Internal Server Error for url: https://huggingface.co/datasets/BangumiBase/arifuretashokugyoudesekaisaikyou2ndseason/resolve/33bb5fc0ad8b9df5da1c02f8ff5aebe38122b243/27/dataset.zip
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/usr/local/lib/python3.9/zipfile.py", line 1329, in _RealGetContents
endrec = _EndRecData(fp)
File "/usr/local/lib/python3.9/zipfile.py", line 273, in _EndRecData
data = fpin.read()
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 808, in track_read
out = f_read(*args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 757, in read
return super().read(length)
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/spec.py", line 1846, in read
out = self.cache._fetch(self.loc, self.loc + length)
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/caching.py", line 189, in _fetch
self.cache = self.fetcher(start, end) # new block replaces old
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 720, in _fetch_range
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: 500 Server Error: Internal Server Error for url: https://huggingface.co/datasets/BangumiBase/arifuretashokugyoudesekaisaikyou2ndseason/resolve/33bb5fc0ad8b9df5da1c02f8ff5aebe38122b243/27/dataset.zip (Request ID: Root=1-67ad262d-7097a8c221eb1b855f3d0bb8;69a18146-ac7e-4616-a66b-52ba4b2368e4)
The request is taking longer than expected, please try again later.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1634, in _prepare_split_single
num_examples, num_bytes = writer.finalize()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 636, in finalize
self.write_examples_on_file()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 495, 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 609, 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 624, in write_table
pa_table = embed_table_storage(pa_table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2270, in embed_table_storage
arrays = [
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2271, 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 1795, 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 1795, 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 2140, in embed_array_storage
return feature.embed_storage(array)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/image.py", line 273, in embed_storage
[
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/image.py", line 274, 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 309, 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 268, 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 948, 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 461, in open
out = open_files(
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/core.py", line 283, in open_files
fs, fs_token, paths = get_fs_token_paths(
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/core.py", line 636, in get_fs_token_paths
fs = filesystem(protocol, **inkwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/registry.py", line 293, in filesystem
return cls(**storage_options)
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/spec.py", line 80, in __call__
obj = super().__call__(*args, **kwargs)
File "<string>", line 3, in __init__
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 826, in track_metadata_read_once
out = func(instance, fo=urlpath, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/implementations/zip.py", line 62, in __init__
self.zip = zipfile.ZipFile(
File "/usr/local/lib/python3.9/zipfile.py", line 1266, in __init__
self._RealGetContents()
File "/usr/local/lib/python3.9/zipfile.py", line 1331, in _RealGetContents
raise BadZipFile("File is not a zip file")
zipfile.BadZipFile: File is not a zip file
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 1415, 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 991, in stream_convert_to_parquet
builder._prepare_split(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1486, 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 1643, 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
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End of preview.
Bangumi Image Base of Arifureta Shokugyou De Sekai Saikyou 2nd Season
This is the image base of bangumi Arifureta Shokugyou de Sekai Saikyou 2nd Season, we detected 65 characters, 4958 images in total. The full dataset is here.
Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual. If you intend to manually train models using this dataset, we recommend performing necessary preprocessing on the downloaded dataset to eliminate potential noisy samples (approximately 1% probability).
Here is the characters' preview:
| # | Images | Download | Preview 1 | Preview 2 | Preview 3 | Preview 4 | Preview 5 | Preview 6 | Preview 7 | Preview 8 |
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