Download LawSchool dataset directly from SEAPHE

[hoffmansc]

http://www.seaphe.org/databases.php

This way we can remove the dependency on tempeh. We can essentially copy this file (preserving the copyright notice): https://github.com/microsoft/tempeh/blob/main/tempeh/datasets/seaphe_datasets.py

See also meps_datasets.py for another example of downloading/unzipping.

Relevant files:
tempeh_datasets.py
law_school_gpa_dataset.py

See demo_grid_search_reduction_regression_sklearn.ipynb for example usage.

Behavior should be essentially the same as tempeh except dropping of NAs can be handled later so these should be kept.

[anupamamurthi]

Possible Tasks:

• Ensure the license permits open source us
• Verify that this dataset is appropriate for fairness tasks and subset it accordingly (removing un-necessary columns etc.)
• Ensure we have instance level records with protected attributes and outcomes
• First create sklearn-compatible dataset (dataframe) and an appropriate "classic" dataset (second priority)
• Create a simple notebook where the dataset is consumed and simple fairness measures and computed at least.
• DO NOT download and incorporate the data, rather include a function that will do this since data is not hosted in AIF360.

[EktaBhaskar]

please assign me this issue.

[vandanapathare]

Can I get this issue assigned