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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ValueError
Message:      Class label 2 greater than configured num_classes 2
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1538, in _prepare_split_single
                  writer.write(example)
                  ~~~~~~~~~~~~^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 682, in write
                  self.write_examples_on_file()
                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 655, in write_examples_on_file
                  self._write_batch(batch_examples=batch_examples)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 752, in _write_batch
                  arrays.append(pa.array(typed_sequence))
                                ~~~~~~~~^^^^^^^^^^^^^^^^
                File "pyarrow/array.pxi", line 256, in pyarrow.lib.array
                  return _handle_arrow_array_protocol(obj, type, mask, size)
                File "pyarrow/array.pxi", line 118, in pyarrow.lib._handle_arrow_array_protocol
                  res = obj.__arrow_array__(type=type)
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 291, in __arrow_array__
                  out = self._arrow_array(type=type)
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 362, in _arrow_array
                  out = cast_array_to_feature(
                      out, type, allow_primitive_to_str=not self.trying_type, allow_decimal_to_str=not self.trying_type
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1854, in wrapper
                  return func(array, *args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2059, in cast_array_to_feature
                  _c(array.field(name) if name in array_fields else null_array, subfeature)
                  ~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1854, in wrapper
                  return func(array, *args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2109, in cast_array_to_feature
                  casted_array_values = _c(array.values, feature.feature)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1854, in wrapper
                  return func(array, *args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2052, in cast_array_to_feature
                  return feature.cast_storage(array)
                         ~~~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1168, in cast_storage
                  raise ValueError(
                      f"Class label {min_max['max']} greater than configured num_classes {self.num_classes}"
                  )
              ValueError: Class label 2 greater than configured num_classes 2
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1551, in _prepare_split_single
                  num_examples, num_bytes = writer.finalize()
                                            ~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 783, in finalize
                  self.write_examples_on_file()
                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 655, in write_examples_on_file
                  self._write_batch(batch_examples=batch_examples)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 752, in _write_batch
                  arrays.append(pa.array(typed_sequence))
                                ~~~~~~~~^^^^^^^^^^^^^^^^
                File "pyarrow/array.pxi", line 256, in pyarrow.lib.array
                File "pyarrow/array.pxi", line 118, in pyarrow.lib._handle_arrow_array_protocol
                  res = obj.__arrow_array__(type=type)
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 291, in __arrow_array__
                  out = self._arrow_array(type=type)
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 362, in _arrow_array
                  out = cast_array_to_feature(
                      out, type, allow_primitive_to_str=not self.trying_type, allow_decimal_to_str=not self.trying_type
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1854, in wrapper
                  return func(array, *args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2059, in cast_array_to_feature
                  _c(array.field(name) if name in array_fields else null_array, subfeature)
                  ~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1854, in wrapper
                  return func(array, *args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2109, in cast_array_to_feature
                  casted_array_values = _c(array.values, feature.feature)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1854, in wrapper
                  return func(array, *args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2052, in cast_array_to_feature
                  return feature.cast_storage(array)
                         ~~~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1168, in cast_storage
                  raise ValueError(
                      f"Class label {min_max['max']} greater than configured num_classes {self.num_classes}"
                  )
              ValueError: Class label 2 greater than configured num_classes 2
              
              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 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1382, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1560, 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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objects
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Oyster Mushroom Maturity Detection

A dataset for object detection of Oyster Mushrooms. The dataset contains 555 images with 8,282 bounding box annotations across 2 categories: Immature, Mature.

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

Citation

@article{duman2024novel,
  title={A novel dataset of annotated oyster mushroom images with environmental context for machine learning applications},
  author={Duman, Sonay and Elewi, Abdullah and Hajhamed, Abdulsalam and Khankan, Rasheed and Souag, Amina and Ahmed, Asma},
  journal={Data in Brief},
  volume={57},
  pages={111074},
  year={2024},
  publisher={Elsevier}
}

Duman, Sonay; Elewi, Abdullah; Hajhamed, Abdulsalam; Khankan, Rasheed ; Souag, Amina; Ahmed, Asma (2024), “Annotated Oyster Mushroom Images”, Mendeley Data, V1, doi: 10.17632/hf55tkx489.1

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