feature stringclasses 2 values	original_value stringclasses 8 values	encoded_value int8 0 5
is_male	Male	1
is_male	Female	0
race	Caucasian	0
race	African-American	1
race	Hispanic	2
race	Asian	3
race	Other	4
race	Native American	5

Compas

The Compas dataset for recidivism prediction. Dataset known to have racial bias issues, check this Propublica article on the topic.

Configurations and tasks

Configuration	Task	Description
encoding		Encoding dictionary showing original values of encoded features.
two-years-recidividity	Binary classification	Will the defendant be a violent recidivist?
two-years-recidividity-no-race	Binary classification	As above, but the `race` feature is removed.
priors-prediction	Regression	How many prior crimes has the defendant committed?
priors-prediction-no-race	Binary classification	As above, but the `race` feature is removed.
race	Multiclass classification	What is the `race` of the defendant?

from datasets import load_dataset

dataset = load_dataset("mstz/compas", "two-years-recidividity")["train"]

Feature	Type	Description
`sex`	`int64`
`age`	`int64`
`race`	`int64`
`number_of_juvenile_fellonies`	`int64`
`decile_score`	`int64`	Criminality score
`number_of_juvenile_misdemeanors`	`int64`
`number_of_other_juvenile_offenses`	`int64`
`number_of_prior_offenses`	`int64`
`days_before_screening_arrest`	`int64`
`is_recidivous`	`int64`
`days_in_custody`	`int64`	Days spent in custody
`is_violent_recidivous`	`int64`
`violence_decile_score`	`int64`	Criminality score for violent crimes
`two_years_recidivous`	`int64`