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Error code: DatasetGenerationError Exception: FileNotFoundError Message: Phips/BHI_LR_multi@bb9c2706f673c997d64aee157a04234dd547ffe8/BHI_LR_multi.zip (repository not found) 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/api/datasets/Phips/BHI_LR_multi/revision/bb9c2706f673c997d64aee157a04234dd547ffe8 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/huggingface_hub/hf_file_system.py", line 121, in _repo_and_revision_exist self._api.repo_info( File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn return fn(*args, **kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_api.py", line 2682, in repo_info return method( File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn return fn(*args, **kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_api.py", line 2540, in dataset_info hf_raise_for_status(r) File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_http.py", line 454, in hf_raise_for_status raise _format(RepositoryNotFoundError, message, response) from e huggingface_hub.errors.RepositoryNotFoundError: 401 Client Error. (Request ID: Root=1-6756f6bd-584b03bb379ab8ab4e5d348c;8ccf09e5-a8d2-4d42-beb6-d8fce1dee259) Repository Not Found for url: https://huggingface.co/api/datasets/Phips/BHI_LR_multi/revision/bb9c2706f673c997d64aee157a04234dd547ffe8. Please make sure you specified the correct `repo_id` and `repo_type`. If you are trying to access a private or gated repo, make sure you are authenticated. Invalid username or password. 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 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 823, 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 61, in __init__ self.fo = fo.__enter__() # the whole instance is a context 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 847, 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 234, 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 682, in __init__ self.resolved_path = fs.resolve_path(path, revision=revision) File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 177, in resolve_path _raise_file_not_found(path, err) File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 880, in _raise_file_not_found raise FileNotFoundError(msg) from err FileNotFoundError: Phips/BHI_LR_multi@bb9c2706f673c997d64aee157a04234dd547ffe8/BHI_LR_multi.zip (repository not found) 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 1412, 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 988, 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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BHI_LR_multi
This is a x4 LR counterpart to the BHI SISR Dataset.
SCREENSHOT HERE
To create this dataset, a 0.25 scaling (or x4 scaling) has been applied, with multiple scaling algorithms in a randomized manner.
The algos used are linear, cubic_mitchell, lanczos, gauss, box and down_up (with these algos). The specifically applied degradation for each image can be found in the applied_degradations.txt file
The trained model learns to handle multiple scalings, and also these counteract each other in the sense of that lanczos will always sharpen, gauss will always soften etc.
Using this instead of just bicubic sampling for example will help the model not to be trained on / pick up on one specific scaling algos characteristics.
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