datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
metacognitive-monitoring-battery
Metacognitive Monitoring Battery
A cross-domain behavioural assay of monitoring-control coupling in LLMs, grounded in the Nelson and Narens (1990) metacognitive framework.
Paper: The Metacognitive Monitoring Battery: A Cross-Domain Benchmark for LLM Self-Monitoring
Code: github.com/synthiumjp/metacognitive-monitoring-battery
Author: Jon-Paul Cacioli (Independent Researcher, Melbourne, Australia)
Overview
The battery comprises 524 items across six cognitive domains… See the full description on the dataset page: https://huggingface.co/datasets/synthiumjp/metacognitive-monitoring-battery.clinical-monitoring-failure-instability-v0.1
clinical-monitoring-failure-instability-v0.1
What this dataset does
This dataset evaluates whether models can detect instability caused by monitoring failure rather than direct physiological collapse.
Each row represents a simplified clinical monitoring scenario across three time points.
The task is to determine whether the care system remains able to detect deterioration or is moving toward detection failure.
Core stability idea
Clinical instability can emerge… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-monitoring-failure-instability-v0.1.weather-monitoring-dataset
Weather Monitoring Sensor Dataset
Synthetic dataset generated for the Embedded Systems Course Project —
a real-time Weather Monitoring System built on the Tiva C Series
microcontroller with FreeRTOS, ESP8266, and Firebase.
Sensors Simulated
Sensor
Measurement
Range
DHT-11
Temperature
0 – 50 °C
DHT-11
Humidity
0 – 100 % RH
LDR KY-018
Light Intensity
0 – 1023 (ADC)
Labels (5 Classes — 1000 samples each)
Label
Temp (°C)
Humidity (%)
Light… See the full description on the dataset page: https://huggingface.co/datasets/tamimhassan05/weather-monitoring-dataset.heart_disease_monitoring
🩺 Heart Disease Early Risk Detection Dataset
A clean, structured dataset containing patient vital-sign measurements collected from a hospital setting for early detection of heart-related risks.The dataset supports multi-class classification with three risk levels:
0 — Normal
1 — Abnormal
2 — Risk
This dataset is suitable for machine learning, statistical modeling, and health analytics research.
📦 Dataset Summary
This dataset includes physiological features… See the full description on the dataset page: https://huggingface.co/datasets/roronoazoroinsome/heart_disease_monitoring.health_monitoring