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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 dataset
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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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27 | 849 | Download | ![]() |
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