datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
uci-credit-card-defaultUCI_drugheart_disease_uci
Dataset Card for Dataset Name
age: age in years
sex: sex (1 = male; 0 = female)
cp: chest pain type
-- Value 1: typical angina
-- Value 2: atypical angina
-- Value 3: non-anginal pain
-- Value 4: asymptomatic
trestbps: resting blood pressure (in mm Hg on admission to the hospital)
chol: serum cholestoral in mg/dl
fbs: (fasting blood sugar > 120 mg/dl) (1 = true; 0 = false)
restecg: resting electrocardiographic results
-- Value 0: normal… See the full description on the dataset page: https://huggingface.co/datasets/skrishna/heart_disease_uci.unstereo-eval
Dataset Card for Dataset Name
We challenge a common observation in prior work considering the gender bias evaluation of large language models (LMs). The observation is that models reinforce stereotypes in the training data by picking up on gendered correlations. In this paper, we challenge this assumption and instead address the question: Do language models still exhibit gender bias in non-stereotypical settings?
To do so, we introduce UnStereoEval (USE), a novel framework tailored… See the full description on the dataset page: https://huggingface.co/datasets/ucinlp/unstereo-eval.uci-har-forflblood_transfusion_uciheart_disease_uciUCI_Heart_Disease_for_Binary_ClassificationTitle: Heart Disease Prediction Dataset (Processed UCI Version)
Subtitle:
A cleaned and machine learning-ready version of the UCI Heart Disease dataset for binary classification tasks.
Description:
Overview
This dataset is a processed version of the UCI Heart Disease dataset. It contains patient clinical information commonly used for heart disease prediction and binary classification machine learning tasks.
The dataset has been cleaned and prepared for educational purposes, machine learning… See the full description on the dataset page: https://huggingface.co/datasets/bharathp16/UCI_Heart_Disease_for_Binary_Classification.