datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ddxplus
Dataset Description
We are releasing under the CC-BY licence a new large-scale dataset for Automatic Symptom Detection (ASD) and Automatic Diagnosis (AD) systems in the medical domain. The dataset contains patients synthesized using a proprietary medical knowledge base and a commercial rule-based AD system. Patients in the dataset are characterized by their socio-demographic data, a pathology they are suffering from, a set of symptoms and antecedents related to this pathology, and a… See the full description on the dataset page: https://huggingface.co/datasets/aai530-group6/ddxplus.telco-customer-churn
Dataset Card for Telco Customer Churn
This dataset contains information about customers of a fictional telecommunications company, including demographic information, services subscribed to, location details, and churn behavior. This merged dataset combines the information from the original Telco Customer Churn dataset with additional details.
Dataset Details
Dataset Description
This merged Telco Customer Churn dataset provides a comprehensive view of customer… See the full description on the dataset page: https://huggingface.co/datasets/aai510-group1/telco-customer-churn.ddxplus-french
Dataset Description
We are releasing under the CC-BY licence a new large-scale dataset for Automatic Symptom Detection (ASD) and Automatic Diagnosis (AD) systems in the medical domain. The dataset contains patients synthesized using a proprietary medical knowledge base and a commercial rule-based AD system. Patients in the dataset are characterized by their socio-demographic data, a pathology they are suffering from, a set of symptoms and antecedents related to this pathology, and a… See the full description on the dataset page: https://huggingface.co/datasets/aai530-group6/ddxplus-french.heart-failure-prediction-dataset
language:
en
license: odbl
tags:
health
heart-disease
medical
machine-learning
annotations_creators:
expert-generated
language_creators:
expert-generated
pretty_name: Heart Failure Prediction Dataset
size_categories:
1K<n<10K
source_datasets:
original
task_categories:
structured-data-classification
task_ids:
binary-classification
health-data-analysis
paperswithcode_id: heart-failure-prediction
configs:
default
dataset_info:
features:
- name: Age
dtype: int32
- name: Sex… See the full description on the dataset page: https://huggingface.co/datasets/aai530-group6/heart-failure-prediction-dataset.diabetes-readmissionPort of the diabetes-readmission dataset from UCI (link here). See details there and use carefully.
Basic preprocessing done by the imodels team in this notebook.
The target is the binary outcome readmitted.
Sample usage
Load the data:
from datasets import load_dataset
dataset = load_dataset("imodels/diabetes-readmission")
df = pd.DataFrame(dataset['train'])
X = df.drop(columns=['readmitted'])
y = df['readmitted'].values
Fit a model:
import imodels
import numpy as np
m =… See the full description on the dataset page: https://huggingface.co/datasets/aai540-group3/diabetes-readmission.sleep-score-fitbit
Fitbit Sleep Score Data
About the Dataset
Description
The Fitbit Sleep Score dataset, available on Kaggle, comprises detailed sleep data sourced from an individual's Fitbit device. It includes metrics such as overall sleep score, revitalization score, deep sleep duration, resting heart rate, and restlessness, each timestamped for in-depth analysis.
Data Fields
timestamp: The specific date and time the sleep data was recorded.
overall_score: An… See the full description on the dataset page: https://huggingface.co/datasets/aai530-group6/sleep-score-fitbit.KSL-LEX
Dataset Card for KSL-LEX
Dataset Details
Dataset Description
KSL-LEX is a publicly available lexical database of Korean Sign Language (KSL), inspired by the ASL-LEX project (American Sign Language Lexical Database). It is based on the Korean Sign Language Dictionary's everyday signs collection, which contains 3,669 signs, but has been expanded to include more detailed linguistic information, resulting in 6,463 entries (6,289 unique headwords).
The primary… See the full description on the dataset page: https://huggingface.co/datasets/AAILab/KSL-LEX.pmdata-sleep_scoresDEAR
DEAR Dataset
Dataset Summary
The Deep Evaluation of Audio Representations (DEAR) dataset is a benchmark designed to assess general-purpose audio foundation models on properties critical for hearable devices.
It comprises 1,158 mono audio tracks (30 s each), spatially mixing proprietary anechoic speech monologues with high-quality everyday acoustic scene recordings from the HOA‑SSR library.
DEAR enables controlled evaluation of:
Context (environment type:… See the full description on the dataset page: https://huggingface.co/datasets/HSLU-AAI/DEAR.mcq-generator-datasetAA_isp