D

dataset

OpenML dataset: ozone https://www.openml.org/d/41197

OpenML dataset: SoilKsatDB https://www.openml.org/d/42332

OpenML dataset: vancouver_employee https://www.openml.org/d/42090

OpenML dataset: subsample_delays_zurich_transport https://www.openml.org/d/42060

OpenML dataset: public_procurement https://www.openml.org/d/42118

OpenML dataset: colleges https://www.openml.org/d/42121

OpenML dataset: airquality https://www.openml.org/d/42059

OpenML dataset: public_procurement https://www.openml.org/d/42093

OpenML dataset: airquality https://www.openml.org/d/42058

OpenML dataset: la_crimes https://www.openml.org/d/42136

OpenML dataset: airquality https://www.openml.org/d/42057

OpenML dataset: colleges https://www.openml.org/d/42134

OpenML dataset: public_procurement https://www.openml.org/d/42139

OpenML dataset: SoilHydroDB https://www.openml.org/d/42333

OpenML dataset: Short_Track_Speed_Skating https://www.openml.org/d/41022

OpenML dataset: chscase_adopt https://www.openml.org/d/669

OpenML dataset: water-treatment https://www.openml.org/d/565

OpenML dataset: schlvote https://www.openml.org/d/559

OpenML dataset: baseball-pitcher https://www.openml.org/d/495

The CBIS-DDSM dataset is popular for training computer vision models for breast cancer detection from mammograms. However, the description files (CSV) have errors where file paths point to incorrect images, among other issues. To make it more accessible, I have openly shared the corrected dataset along with the processing tool to enable reproducibility.