Dataset Viewer
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: ArrowInvalid
Message: Could not open Parquet input source '<Buffer>': Parquet magic bytes not found in footer. Either the file is corrupted or this is not a parquet file.
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
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 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 478, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/parquet/parquet.py", line 205, in _generate_tables
if parquet_fragment.row_groups:
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/_dataset_parquet.pyx", line 389, in pyarrow._dataset_parquet.ParquetFileFragment.row_groups.__get__
File "pyarrow/_dataset_parquet.pyx", line 396, in pyarrow._dataset_parquet.ParquetFileFragment.metadata.__get__
self.ensure_complete_metadata()
File "pyarrow/_dataset_parquet.pyx", line 385, in pyarrow._dataset_parquet.ParquetFileFragment.ensure_complete_metadata
check_status(self.parquet_file_fragment.EnsureCompleteMetadata())
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Could not open Parquet input source '<Buffer>': Parquet magic bytes not found in footer. Either the file is corrupted or this is not a parquet file.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Efficientmaize Classification
A dataset for quality classification of maize. The dataset contains raw and augmented versions.
The raw dataset contains 4,846 images.
Images per class:
- Bad: 2,211
- Good: 2,635
The augmented dataset contains 28,899 images.
Images per class:
- Bad: 13,246
- Good: 15,653
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{asante2024efficientmaize,
title={EfficientMaize: A lightweight dataset for maize classification on resource-constrained devices},
author={Asante, Emmanuel and Appiah, Obed and Appiahene, Peter and Adu, Kwabena},
journal={Data in Brief},
volume={54},
pages={110261},
year={2024},
publisher={Elsevier}
}
Asante, Emmanuel ; Appiah, Obed; APPIAHENE, PETER (2023), “Lightweight Dataset for Maize Classification on Resource-Constrained Devices”, Mendeley Data, V2, doi: 10.17632/r6vvm5jkh6.2
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