34 datasets found

The dataset used in the paper is not explicitly described, but it is mentioned that the authors worked with five real-world domains: child welfare, education, cybersecurity,...

The law school example dataset, used to test the fairness of algorithms.

The authors used two tabular datasets, Adult and Credit, that are ubiquitous in fairness literature, and transformed them into multi-label settings.

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...

The dataset used in the paper is a synthetic workload, where clients send requests with different input and output lengths, and with varying request rates.

This paper describes a differentially private post-processing algorithm for learning attribute-aware fair regressors.

This paper describes a differentially private post-processing algorithm for learning attribute-aware fair regressors.

This paper describes a differentially private post-processing algorithm for learning attribute-aware fair regressors.

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...

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...

The dataset used in the paper is a private car insurance dataset.

Reputation Agent is a tool that detects unfair reviews on gig markets and prompts fairer assessments by presenting micro-information about gig workers’ conditions and policies.

The training data often in obtained from social surveys. In social surveys, oftentimes the data collection process is a strata sampling, e.g. due to cost restrictions. In strata...

The dataset is used to evaluate the fairness of machine learning models.

The dataset is used to evaluate the fairness of a recidivism algorithm.

A crowdsourced dataset for studying differences in fairness preferences depending on demographic identities.

The dataset used in the paper is the Wikipedia dataset, which contains over six million English Wikipedia articles with a full-text field associated with 50 training queries...

The FairRepair tool repairs an unfair decision tree to be fair relative to a dataset.

FairFace is a dataset of face images for fairness audit and evaluation, intentionally constructed to be approximately racially balanced.

The dataset used in the paper is a collection of probabilistic causal models, each representing a potentially socially-sensitive scenario.