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Datasets:
youchengzong
/
wprf-deepcrack

Tasks:
Image Segmentation
Sub-tasks:
instance-segmentation
Size:
n<1K
License:
Dataset card Files
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Dataset Viewer
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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    ValueError
Message:      Invalid string class label wprf-deepcrack@8b0e579a7a76866272bc0baa6f4a5ce2f555ac18
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2543, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2060, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2092, in _iter_arrow
                  pa_table = cast_table_to_features(pa_table, self.features)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2197, in cast_table_to_features
                  arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1795, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1995, in cast_array_to_feature
                  return feature.cast_storage(array)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1169, in cast_storage
                  [self._strval2int(label) if label is not None else None for label in storage.to_pylist()]
                   ^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1098, in _strval2int
                  raise ValueError(f"Invalid string class label {value}")
              ValueError: Invalid string class label wprf-deepcrack@8b0e579a7a76866272bc0baa6f4a5ce2f555ac18

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youchengzong/wprf-deepcrack

This repository hosts the processed dataset files for WPRF_open (deepcrack).

Summary

  • Content: RGB images + instance segmentation annotations in COCO format.
  • Packaging: zip artifacts (for robust download & integrity check).

Files

file sha256 size
data.zip 9494c7e1fd1121236db2083b39f6da288a0d856a5c00e2ddf0dff0abcb16faa0 0.06 GB

Statistics (COCO)

split images annotations
train 300 300
test 237 237
total 537 537

Layout

After downloading and extracting the zip file(s), the dataset root is:

<dataset_root>/
  images/{train,val,test}/...           # `val` is optional
  annotations/instances_{train,val,test}.json  # `val` is optional

Notes

  • This dataset is provided for research use.
  • Please check the original dataset license/terms before redistribution.
  • The Hugging Face Dataset Viewer may be unavailable because the data is distributed as zip artifacts.
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