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The dataset generation failed
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 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.
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End of preview.
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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