original datasets
Collection
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Updated
Error code: DatasetGenerationError Exception: GatedRepoError Message: 401 Client Error. (Request ID: Root=1-67ffde29-494b396332fad7897cc1333e;f4c5c2ec-5117-40f5-bba9-643f5bda4589) Cannot access gated repo for url https://huggingface.co/datasets/GaussianWorld/scannetpp_v1/resolve/2685411ff8c49df64913fdc69a28bc6c2bc0c7ff/nvs_test/02a980c994/dslr/resized_anon_masks/DSC04849.png. Access to dataset GaussianWorld/scannetpp_v1 is restricted. You must have access to it and be authenticated to access it. Please log in. 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: 401 Client Error: Unauthorized for url: https://huggingface.co/datasets/GaussianWorld/scannetpp_v1/resolve/2685411ff8c49df64913fdc69a28bc6c2bc0c7ff/nvs_test/02a980c994/dslr/resized_anon_masks/DSC04849.png 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 268, in path_to_bytes bytes_ = f.read() File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 827, in read_with_retries out = read(*args, **kwargs) File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 806, 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 1012, in read return f.read() File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 806, 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 1076, in read hf_raise_for_status(self.response) File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_http.py", line 423, in hf_raise_for_status raise _format(GatedRepoError, message, response) from e huggingface_hub.errors.GatedRepoError: 401 Client Error. (Request ID: Root=1-67ffde29-090196c32073af353ee7ac85;533d2bb4-bf0c-4656-a29e-3ce43451f1c8) Cannot access gated repo for url https://huggingface.co/datasets/GaussianWorld/scannetpp_v1/resolve/2685411ff8c49df64913fdc69a28bc6c2bc0c7ff/nvs_test/02a980c994/dslr/resized_anon_masks/DSC04849.png. Access to dataset GaussianWorld/scannetpp_v1 is restricted. You must have access to it and be authenticated to access it. Please log in. 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: 401 Client Error: Unauthorized for url: https://huggingface.co/datasets/GaussianWorld/scannetpp_v1/resolve/2685411ff8c49df64913fdc69a28bc6c2bc0c7ff/nvs_test/02a980c994/dslr/resized_anon_masks/DSC04849.png 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 1635, 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 637, in finalize 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 268, in path_to_bytes bytes_ = f.read() File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 827, in read_with_retries out = read(*args, **kwargs) File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 806, 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 1012, in read return f.read() File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 806, 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 1076, in read hf_raise_for_status(self.response) File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_http.py", line 423, in hf_raise_for_status raise _format(GatedRepoError, message, response) from e huggingface_hub.errors.GatedRepoError: 401 Client Error. (Request ID: Root=1-67ffde29-494b396332fad7897cc1333e;f4c5c2ec-5117-40f5-bba9-643f5bda4589) Cannot access gated repo for url https://huggingface.co/datasets/GaussianWorld/scannetpp_v1/resolve/2685411ff8c49df64913fdc69a28bc6c2bc0c7ff/nvs_test/02a980c994/dslr/resized_anon_masks/DSC04849.png. Access to dataset GaussianWorld/scannetpp_v1 is restricted. You must have access to it and be authenticated to access it. Please log in. 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 dataset
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