datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
clinical-quad-oxygen-demand-buffer-lag-coupling-respiratory-collapse-v0.6
What this repo does
This repository contains a Clarus v0.6 intervention pathway dataset focused on respiratory collapse dynamics.
The dataset evaluates whether a model can determine if a proposed intervention meaningfully stabilizes a deteriorating respiratory 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… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-oxygen-demand-buffer-lag-coupling-respiratory-collapse-v0.6.car_sales_dataclinical-quad-oxygen-demand-buffer-lag-coupling-respiratory-collapse-v1.1
Clinical Quad Oxygen Demand Buffer Lag Coupling Respiratory Collapse v1.1
What this repo does
This dataset evaluates whether a model can select the correct control policy when:
multiple respiratory interventions appear viable
early signals suggest improvement
alternative policies produce better long-term outcomes
The task is not prediction.
The task is selecting the correct action under uncertainty, feedback, and misleading signal structure.
Core quad
The… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-oxygen-demand-buffer-lag-coupling-respiratory-collapse-v1.1.clinical-quad-oxygen-demand-buffer-lag-coupling-respiratory-collapse-v0.5
What this repo does
This repository provides a Clarus v0.5 cascade recovery geometry dataset modeling respiratory collapse.
Earlier Clarus datasets focused on detecting deterioration states and identifying instability boundaries.
Version v0.5 adds a recovery geometry layer that asks a stricter question:
Can the system still return to stability?
The task is binary classification over respiratory deterioration states using:
• a four-variable clinical quad• trajectory dynamics•… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-oxygen-demand-buffer-lag-coupling-respiratory-collapse-v0.5.clinical-oxygen-transport-instability-v0.1
clinical-oxygen-transport-instability-v0.1
What this dataset does
This dataset evaluates whether models can detect instability caused by failure of oxygen transport to tissues.
Each row represents a simplified oxygen delivery scenario observed across three time points.
The task is to determine whether oxygen delivery remains stable or is moving toward oxygen transport instability.
Core stability idea
Tissue oxygen delivery depends on interactions between:… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-oxygen-transport-instability-v0.1.clinical-quad-oxygen-demand-buffer-lag-coupling-respiratory-collapse-v0.4
What this repo does
This repository contains a Clarus v0.4 cascade boundary discovery dataset modeling respiratory collapse.
Earlier Clarus datasets focused on detecting cascade states or forecasting collapse trajectories.
Version v0.4 extends the framework to a harder task:
detecting whether a system lies on the instability boundary itself.
The dataset models respiratory deterioration as a coupled physiological system in which rising oxygen demand, declining physiological buffer… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-oxygen-demand-buffer-lag-coupling-respiratory-collapse-v0.4.clinical-quad-oxygen-demand-buffer-lag-coupling-respiratory-collapse-v1.2
Clinical Quad Oxygen Demand Buffer Lag Coupling Respiratory Collapse v1.2
What this repo does
This repository contains a Clarus v1.2 benchmark dataset.
The v1.2 layer introduces Temporal Policy Stability Geometry.
Earlier versions evaluate:
system state
trajectory
intervention selection
closed-loop control
counterfactual policy quality
v1.2 extends the framework to evaluate policy handling across time.
The benchmark asks:
does the chosen policy remain correct as… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-oxygen-demand-buffer-lag-coupling-respiratory-collapse-v1.2.clinical-quad-oxygen-demand-buffer-lag-coupling-respiratory-collapse-v0.7
What this repo does
This repository contains a Clarus v0.7 dataset modeling respiratory collapse 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-oxygen-demand-buffer-lag-coupling-respiratory-collapse-v0.7.clinical-quad-oxygen-demand-buffer-lag-coupling-respiratory-collapse-v1.0
ClarusC64/clinical-quad-oxygen-demand-buffer-lag-coupling-respiratory-collapse-v1.0
What this repo does
This repository provides a Clarus v1.0 benchmark for respiratory collapse under a four-variable clinical quad:
oxygen_demand
buffer_capacity
lag_burden
coupling_stress
The v1.0 upgrade is Closed-Loop Control Geometry.
The task is no longer limited to detecting deterioration or ranking one intervention against another.
It tests whether a controller can:
choose the… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-oxygen-demand-buffer-lag-coupling-respiratory-collapse-v1.0.clinical-latent-cross-coupling-oxygen-buffer-instability-v0.2
Clinical Latent Cross Coupling Oxygen Buffer Instability v0.2
What this is
A small dataset that tests one question:
Can you detect when an oxygen-buffer system is moving toward hidden instability, not just carrying visible strain?
This repo focuses on latent cross coupling between oxygen delivery and buffer capacity.
It models a system where:
oxygen delivery may weaken
buffer capacity may erode
latent coupling pressure may rise
compensation fatigue may accumulate before… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-latent-cross-coupling-oxygen-buffer-instability-v0.2.clinical-quad-oxygen-demand-buffer-lag-respiratory-lockin-v1.3
Clinical Quad Oxygen Demand Buffer Lag Respiratory Lockin v1.3
Clinical Quad Oxygen Demand Buffer Lag Respiratory Lockin v1.3
What this repo does
This repository contains a Clarus v1.3 benchmark dataset.
The v1.3 layer introduces Failure Reconstruction Geometry.
Earlier Clarus layers evaluate:
• system state
• trajectory
• instability boundaries
• intervention selection
• control sequence correctness
• temporal policy handling
v1.3 adds a new capability.
The benchmark asks whether a… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-oxygen-demand-buffer-lag-respiratory-lockin-v1.3.clinical-quad-oxygen-demand-buffer-lag-coupling-respiratory-collapse-v1.5
Clinical Quad Oxygen Demand Buffer Lag Coupling Respiratory Collapse v1.5
What this repo does
This repository contains a Clarus v1.5 benchmark dataset.
The v1.5 layer introduces Counterfactual Rescue Path Sequencing Geometry.
Earlier layers evaluate:
system state
trajectory
boundary proximity
recovery feasibility
intervention selection
control sequence correctness
temporal policy stability
failure reconstruction
intervention timing
v1.5 evaluates whether respiratory… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-oxygen-demand-buffer-lag-coupling-respiratory-collapse-v1.5.clinical-quad-oxygen-demand-buffer-lag-coupling-respiratory-collapse-v1.4
Clinical Quad Oxygen Demand Buffer Lag Coupling Respiratory Collapse v1.4
What this repo does
This repository contains a Clarus v1.4 benchmark dataset.
The v1.4 layer introduces Counterfactual Intervention Timing Geometry.
Earlier layers evaluate:
system state
trajectory
boundary proximity
recovery feasibility
intervention selection
control sequence correctness
temporal policy stability
failure reconstruction
v1.4 evaluates whether respiratory collapse could still have… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-oxygen-demand-buffer-lag-coupling-respiratory-collapse-v1.4.clinical-oxygen-order-delivery-coherence-risk-v0.1What this repo is for
Detect when
oxygen is prescribed
but delivery or targets
do not match
Common breaks
oxygen given with no prescription
device mismatch
flow mismatch
COPD target ignored
sats out of range with no escalation
Examples
COPD on cannula with sats 99
post-op hypoxia with low flow delivered
ward patient on oxygen with no targets
You use it to flag
hypoxia risk
hypercapnia risk
documentation risk
clinical-quad-oxygen-demand-buffer-lag-coupling-respiratory-collapse-v0.3
What this repo does
This dataset models respiratory collapse using the Clarus quad coupling framework combined with trajectory and system dynamics.
The goal is to predict whether a patient is approaching a respiratory collapse 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-oxygen-demand-buffer-lag-coupling-respiratory-collapse-v0.3.clinical-quad-oxygen-demand-buffer-lag-coupling-respiratory-collapse-v0.1
What this repo does
This dataset models the transition from compensated respiratory stress to respiratory collapse using a four-variable coupling structure.
The goal is to detect when a patient is drifting toward respiratory deterioration before overt collapse is fully established.
Respiratory decline often unfolds as a cascade: oxygen demand rises, physiological reserve narrows, intervention delays reduce reversibility, and organ interactions amplify instability.
The quad structure… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-oxygen-demand-buffer-lag-coupling-respiratory-collapse-v0.1.clinical-quad-oxygen-demand-buffer-lag-coupling-respiratory-collapse-v0.2
What this repo does
This dataset evaluates whether machine learning models can detect respiratory collapse cascade transitions using both system state and system trajectory.
Earlier Clarus datasets in the v0.1 series tested whether models could classify system state alone.
Clarus v0.2 datasets add a trajectory signal so models must determine not only where the system is, but where it is moving inside state space.
This benchmark therefore tests whether models can read trajectory… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-oxygen-demand-buffer-lag-coupling-respiratory-collapse-v0.2.clinical-quad-oxygen-demand-buffer-lag-coupling-respiratory-collapse-v0.8
What this repo does
This repository provides a Clarus v0.8 clinical quad dataset for detecting and reasoning about respiratory collapse regime transitions.
The dataset models situations where a patient state is no longer contained within a single respiratory failure basin but is shifting between competing regimes such as:
progressive hypoxemia
ventilatory failure
hypercapnic decompensation
multisystem respiratory collapse
This is the conceptual upgrade introduced in Clarus v0.8.… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-oxygen-demand-buffer-lag-coupling-respiratory-collapse-v0.8.