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The dataset generation failed
Error code: DatasetGenerationError
Exception: GatedRepoError
Message: 401 Client Error. (Request ID: Root=1-688204d7-36f3e8ed325a3f721855ad85;168418e5-40bb-4b5d-a6c3-390a2e43455d)
Cannot access gated repo for url https://huggingface.co/datasets/luoyeguigenno1/X-ray-Microrobot/resolve/1ebb58e08addc3cd8afcc7badaa5da63dba67072/code_sharing/data_img/images/0.png.
Access to dataset luoyeguigenno1/X-ray-Microrobot 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 409, 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/luoyeguigenno1/X-ray-Microrobot/resolve/1ebb58e08addc3cd8afcc7badaa5da63dba67072/code_sharing/data_img/images/0.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 1586, in _prepare_split_single
writer.write(example, key)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 553, in write
self.write_examples_on_file()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 511, 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 631, 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 646, in write_table
pa_table = embed_table_storage(pa_table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2248, in embed_table_storage
arrays = [
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2249, in <listcomp>
embed_array_storage(table[name], feature, token_per_repo_id=token_per_repo_id)
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 2124, in embed_array_storage
return feature.embed_storage(array, token_per_repo_id=token_per_repo_id)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/image.py", line 282, in embed_storage
[
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/image.py", line 283, 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 310, 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 279, in path_to_bytes
return f.read()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 813, in read_with_retries
out = read(*args, **kwargs)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 811, 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 811, 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 426, in hf_raise_for_status
raise _format(GatedRepoError, message, response) from e
huggingface_hub.errors.GatedRepoError: 401 Client Error. (Request ID: Root=1-688204d7-09f46a206cf2e23c3b6b6d09;8c6252a4-12c4-457f-8050-f48da4e93040)
Cannot access gated repo for url https://huggingface.co/datasets/luoyeguigenno1/X-ray-Microrobot/resolve/1ebb58e08addc3cd8afcc7badaa5da63dba67072/code_sharing/data_img/images/0.png.
Access to dataset luoyeguigenno1/X-ray-Microrobot 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 409, 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/luoyeguigenno1/X-ray-Microrobot/resolve/1ebb58e08addc3cd8afcc7badaa5da63dba67072/code_sharing/data_img/images/0.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 1595, 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 658, in finalize
self.write_examples_on_file()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 511, 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 631, 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 646, in write_table
pa_table = embed_table_storage(pa_table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2248, in embed_table_storage
arrays = [
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2249, in <listcomp>
embed_array_storage(table[name], feature, token_per_repo_id=token_per_repo_id)
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 2124, in embed_array_storage
return feature.embed_storage(array, token_per_repo_id=token_per_repo_id)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/image.py", line 282, in embed_storage
[
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/image.py", line 283, 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 310, 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 279, in path_to_bytes
return f.read()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 813, in read_with_retries
out = read(*args, **kwargs)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 811, 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 811, 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 426, in hf_raise_for_status
raise _format(GatedRepoError, message, response) from e
huggingface_hub.errors.GatedRepoError: 401 Client Error. (Request ID: Root=1-688204d7-36f3e8ed325a3f721855ad85;168418e5-40bb-4b5d-a6c3-390a2e43455d)
Cannot access gated repo for url https://huggingface.co/datasets/luoyeguigenno1/X-ray-Microrobot/resolve/1ebb58e08addc3cd8afcc7badaa5da63dba67072/code_sharing/data_img/images/0.png.
Access to dataset luoyeguigenno1/X-ray-Microrobot 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 1451, 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 994, in stream_convert_to_parquet
builder._prepare_split(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1447, 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 1604, 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.
We introduced the first open-sourced microrobot dataset for X-ray-guided robotics research, featuring stent-structured soft robots [1,2] and shape-morphing ferrofluid robots [3]. This dataset is organized into two domains, real and synthetic domain. The real domain comprises of dynamic and static subsets (D1 and D2), with the former showcasing real-time robot locomotion across diverse physiological environments and the latter capturing static robots under varying imaging conditions. Synthetic dataset (D3) is generated by programmatically integrating robot images into diffusion-model-generated tissue backgrounds. By making this dataset publicly available, we provide a foundational resource to train and benchmark microrobot detection, segmentation, and tracking algorithms under X-ray imaging. This initiative facilitates comparative studies of deep learning architectures and training techniques, fostering reproducible research and community-driven progress in medical AI.
Label formatting followed a one-text-file-per-image protocol, with each text file sharing the corresponding image’s filename and a ‘.txt’ extension. Each row in the text file corresponded to a single object instance, annotated with class index and polygonal contour coordinates in the format: class index, x1, y1, x2, y2 ... xn, yn.
[1] Wang, Chunxiang, et al. "Heterogeneous multiple soft millirobots in three-dimensional lumens." Science Advances 10.45 (2024): eadq1951.
[2] Wang, Tianlu, et al. "Adaptive wireless millirobotic locomotion into distal vasculature." Nature communications 13.1 (2022): 4465.
[3] Sun, Mengmeng, et al. "Exploiting ferrofluidic wetting for miniature soft machines." Nature Communications 13.1 (2022): 7919.
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