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Bank dataset
The dataset used in the paper "Classification Under Strategic Self-Selection". It contains features and labels for bank customers, and is used to study the effects of... -
Decision-Making Program
The dataset used in the paper is a decision-making program that takes as input a vector of attributes and decides whether to hire or not. -
Population Model
The dataset used in the paper is a population model that describes a simple model of the population. It includes attributes such as ethnicity, college ranking, and years of... -
A Fair Federated Learning Framework With Reinforcement Learning
Federated learning (FL) is a paradigm where many clients collaboratively train a model under the coordination of a central server, while keeping the training data locally... -
Population-Based Interference Scheme
The dataset used in the paper is a population-based interference scheme, where the population is composed of individuals with different strategies (HH, HL, LH, LL) and the goal... -
Credit Default Dataset
The dataset used in the paper is a graph dataset, where each node represents a person and each edge represents a connection between two people. The dataset is used to evaluate... -
Recidivism Dataset
The dataset used in the paper is a graph dataset, where each node represents a person and each edge represents a connection between two people. The dataset is used to evaluate... -
Private Car Insurance Dataset
The dataset used in the paper is a private car insurance dataset. -
Propublica Recidivism Dataset
The dataset is used to evaluate the fairness of machine learning models. -
Compass Recidivism Dataset
The dataset is used to evaluate the fairness of a recidivism algorithm. -
FairRepair: Fairness-guided SMT-based Rectification of Decision Trees and Ran...
The FairRepair tool repairs an unfair decision tree to be fair relative to a dataset. -
A Step Toward More Inclusive People Annotations for Fairness
The dataset is used for evaluating the fairness of people annotations. -
Multiple Causal Models
The dataset used in the paper is a collection of probabilistic causal models, each representing a potentially socially-sensitive scenario. -
DeBayes: a Bayesian Method for Debiasing Network Embeddings
DeBayes: a Bayesian method for debiasing network embeddings -
News dataset
The dataset used in the paper is a semi-synthetic news dataset, which simulates a dynamic ranking problem on a set of news articles belonging to two groups (left-leaning and... -
Movie dataset
The Movie dataset is a graph dataset constructed from the Movielens-2k dataset. The Movielens-2k dataset contains movies information such as actors, genres, and tags... -
Adult income dataset
The UCI Adult income dataset is used for causal estimation and fair classification tasks. The dataset contains information about age, gender, occupation, marital status,...
