datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
clinical-quad-perfusion-buffer-lag-coupling-trauma-deterioration-v0.1
What this repo does
This dataset models the transition from compensated trauma physiology to systemic deterioration using a four-variable coupling structure.
The goal is to detect when trauma patients are drifting toward hemodynamic collapse before overt shock or organ failure occurs.
Trauma deterioration often unfolds as a cascade: perfusion declines, physiological reserves are consumed, treatment delays amplify instability, and organ systems begin to couple into systemic failure.… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-perfusion-buffer-lag-coupling-trauma-deterioration-v0.1.clinical-latent-cross-coupling-perfusion-metabolic-collapse-v0.2
Clinical Latent Cross Coupling Perfusion Metabolic Collapse v0.2
What this is
A small dataset that tests one question:
Can you detect when a perfusion-metabolic system is moving toward hidden collapse, not just carrying visible strain?
This repo focuses on latent cross coupling between perfusion stability and metabolic buffering.
It models a system where:
perfusion stability may weaken
metabolic buffer capacity may erode
latent coupling pressure may rise
compensation… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-latent-cross-coupling-perfusion-metabolic-collapse-v0.2.clinical-quad-perfusion-buffer-lag-coupling-trauma-deterioration-v0.5
What this repo does
This repository provides a Clarus v0.5 cascade recovery geometry dataset for trauma deterioration.
Earlier Clarus datasets focused on detecting cascade states and identifying instability boundaries.Version v0.5 introduces a recovery geometry layer that asks a deeper question:
Can the system still return to stability?
The task is binary classification over trauma-linked deterioration states using:
• a four-variable clinical quad• trajectory dynamics• boundary… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-perfusion-buffer-lag-coupling-trauma-deterioration-v0.5.clinical-quad-perfusion-buffer-lag-coupling-trauma-deterioration-v0.7
What this repo does
This repository contains a Clarus v0.7 dataset modeling trauma deterioration using a quad-coupling system representation.
The dataset extends the v0.6 intervention layer by introducing uncertainty geometry.
The question addressed by earlier versions was:
Can the system be stabilized?
v0.7 adds a second critical question:
How confident are we in that conclusion?
This allows Clarus to distinguish three operational states:
• confident deterioration
• confident… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-perfusion-buffer-lag-coupling-trauma-deterioration-v0.7.clinical-quad-perfusion-buffer-lag-coupling-trauma-deterioration-v0.2
What this repo does
This dataset evaluates whether machine learning models can detect clinical deterioration trajectories using both system state and system motion.
Earlier Clarus datasets (v0.1) describe system position in state space.
Clarus v0.2 datasets introduce a trajectory signal that indicates where the system is moving next.
The dataset therefore tests whether models can detect approaching instability even when the current state appears stable.
Core quad… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-perfusion-buffer-lag-coupling-trauma-deterioration-v0.2.clinical-quad-perfusion-buffer-lag-coupling-trauma-deterioration-v0.3
What this repo does
This dataset models trauma patient deterioration using the Clarus quad coupling framework combined with trajectory and system dynamics.
The goal is to predict whether a trauma patient is approaching a physiological deterioration cascade.
The dataset introduces a dynamic forecasting layer that allows models to reason about motion through the stability manifold rather than relying only on static physiological snapshots.
Core quad… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-perfusion-buffer-lag-coupling-trauma-deterioration-v0.3.clinical-quad-perfusion-buffer-lag-coupling-trauma-deterioration-v0.6What this repo does
This repository contains a Clarus v0.6 intervention pathway dataset focused on trauma deterioration dynamics.
The dataset evaluates whether a model can determine if a proposed intervention meaningfully stabilizes a deteriorating trauma system.
The task requires reasoning from:
system state
trajectory toward instability
boundary geometry
recovery geometry
intervention vector
projected trajectory consequence
The model cannot read the answer directly.
It must infer… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-perfusion-buffer-lag-coupling-trauma-deterioration-v0.6.clinical-perfusion-instability-v0.1
clinical-perfusion-instability-v0.1
What this dataset does
This dataset evaluates whether models can detect instability in tissue perfusion.
Each row represents a simplified circulatory perfusion scenario observed across three time points.
The task is to determine whether tissue perfusion remains stable or is moving toward perfusion instability.
Core stability idea
Perfusion stability depends on interaction between blood pressure, microvascular flow, and… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-perfusion-instability-v0.1.clinical-ventilation-perfusion-instability-v0.1
clinical-ventilation-perfusion-instability-v0.1
What this dataset does
This dataset evaluates whether models can detect respiratory gas-exchange instability from short clinical proxy trajectories.
Each row represents a patient-like respiratory scenario observed across three time points.
The task is to determine whether the system remains controlled or is moving toward ventilation–perfusion instability.
Core stability idea
Respiratory instability does not depend… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-ventilation-perfusion-instability-v0.1.