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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 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.
image image | objects dict |
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End of preview.
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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