Datasets:

ClarusC64
/

clinical-microvascular-instability-v0.1

scenario_id string	capillary_flow_proxy_t0 float64	capillary_flow_proxy_t1 float64	capillary_flow_proxy_t2 float64	oxygen_extraction_proxy_t0 float64	oxygen_extraction_proxy_t1 float64	oxygen_extraction_proxy_t2 float64	microvascular_density_proxy_t0 float64	microvascular_density_proxy_t1 float64	microvascular_density_proxy_t2 float64	lactate_proxy_t0 float64	lactate_proxy_t1 float64	lactate_proxy_t2 float64	tissue_demand_proxy float64	intervention_delay int64	lab_noise float64	chart_noise float64	label int64
MV001	0.72	0.73	0.74	0.34	0.35	0.36	0.7	0.71	0.72	1.2	1.3	1.4	0.52	1	0.31	0.4	0
MV002	0.7	0.6	0.48	0.36	0.48	0.62	0.68	0.54	0.38	1.4	2.2	3.8	0.78	4	0.33	0.42	1
MV003	0.74	0.75	0.76	0.33	0.34	0.35	0.72	0.73	0.74	1.1	1.2	1.3	0.5	1	0.28	0.36	0
MV004	0.68	0.56	0.44	0.38	0.52	0.7	0.66	0.5	0.36	1.6	2.6	4.2	0.82	4	0.35	0.43	1
MV005	0.73	0.74	0.75	0.34	0.35	0.36	0.71	0.72	0.73	1.2	1.3	1.4	0.53	1	0.3	0.38	0
MV006	0.66	0.5	0.36	0.4	0.58	0.76	0.64	0.46	0.32	1.8	3	4.8	0.86	4	0.37	0.44	1
MV007	0.75	0.76	0.77	0.32	0.33	0.34	0.73	0.74	0.75	1.1	1.2	1.3	0.49	1	0.27	0.35	0
MV008	0.69	0.58	0.46	0.37	0.5	0.66	0.67	0.51	0.37	1.5	2.4	4	0.8	3	0.34	0.41	1
MV009	0.72	0.73	0.74	0.34	0.35	0.36	0.7	0.71	0.72	1.2	1.3	1.4	0.52	1	0.29	0.37	0
MV010	0.64	0.48	0.34	0.42	0.6	0.82	0.62	0.44	0.3	2	3.4	5.2	0.88	4	0.36	0.42	1
MV011	0.74	0.75	0.76	0.33	0.34	0.35	0.72	0.73	0.74	1.1	1.2	1.3	0.5	1	0.28	0.36	0
MV012	0.62	0.46	0.32	0.44	0.62	0.86	0.6	0.42	0.28	2.2	3.8	5.6	0.9	4	0.37	0.44	1
MV013	0.73	0.74	0.75	0.34	0.35	0.36	0.71	0.72	0.73	1.2	1.3	1.4	0.53	1	0.3	0.38	0
MV014	0.68	0.56	0.44	0.38	0.52	0.7	0.66	0.5	0.36	1.6	2.6	4.2	0.82	3	0.34	0.41	1
MV015	0.75	0.76	0.77	0.32	0.33	0.34	0.73	0.74	0.75	1.1	1.2	1.3	0.49	1	0.27	0.35	0

clinical-microvascular-instability-v0.1

This dataset evaluates whether models can detect instability in microvascular circulation.

Each row represents a simplified microcirculatory monitoring scenario observed across three time points.

The task is to determine whether microvascular flow remains stable or is moving toward microvascular instability.

Microcirculatory stability depends on interaction between capillary flow distribution and tissue oxygen extraction.

Signals that interact include:

Instability emerges when capillary flow heterogeneity rises while tissue extraction and lactate increase.

label = 1 → microvascular instability
label = 0 → stable microcirculation

Each row includes:

Decoy variables:

Predictions must follow:

scenario_id,prediction

Example:

MV101,0
MV102,1

Run:

python scorer.py --predictions predictions.csv --truth data/test.csv --output metrics.json

Metrics produced:

accuracy
precision
recall
f1
confusion matrix
dataset integrity diagnostics

This dataset reflects latent stability geometry through observable proxies.

The generator and latent rule structure are not included.

This dataset is part of the Clarus Stability Reasoning Benchmark.

MIT