how to find big data size - lets say 10 million rows and 80 features

[Sandy4321]

great work
Why do tree-based models still outperform deep
learning on tabular data?

but can you recommend data set for mixed continues and categorical features for binary classification
with big data size - lets say 10 million rows and 80 features ?

when
1
features are not independent - for example some features have dependencies on several other features ?
2
unbalanced data - much more NO labels than YES labels

like
https://www.kaggle.com/competitions/amex-default-prediction/data

https://github.com/jxzly/Kaggle-American-Express-Default-Prediction-1st-solution