Datasets:

ClarusC64
/

clinical-hormonal-feedback-instability-v0.1

scenario_id string	hormone_level_t0 float64	hormone_level_t1 float64	hormone_level_t2 float64	receptor_sensitivity_proxy_t0 float64	receptor_sensitivity_proxy_t1 float64	receptor_sensitivity_proxy_t2 float64	metabolic_response_proxy_t0 float64	metabolic_response_proxy_t1 float64	metabolic_response_proxy_t2 float64	glucose_proxy_t0 int64	glucose_proxy_t1 int64	glucose_proxy_t2 int64	stress_signal_proxy float64	intervention_delay int64	lab_noise float64	chart_noise float64	label int64
HF001	0.52	0.53	0.54	0.72	0.73	0.74	0.68	0.69	0.7	94	95	96	0.38	1	0.31	0.4	0
HF002	0.54	0.68	0.86	0.7	0.6	0.48	0.66	0.52	0.36	98	112	138	0.72	4	0.33	0.42	1
HF003	0.5	0.51	0.52	0.74	0.75	0.76	0.7	0.71	0.72	92	93	94	0.36	1	0.28	0.36	0
HF004	0.55	0.72	0.9	0.68	0.56	0.44	0.64	0.48	0.32	100	118	146	0.76	4	0.35	0.43	1
HF005	0.52	0.53	0.54	0.72	0.73	0.74	0.68	0.69	0.7	94	95	96	0.38	1	0.3	0.38	0
HF006	0.56	0.75	0.94	0.66	0.52	0.4	0.62	0.46	0.3	104	122	152	0.8	4	0.37	0.44	1
HF007	0.49	0.5	0.51	0.75	0.76	0.77	0.71	0.72	0.73	91	92	93	0.34	1	0.27	0.35	0
HF008	0.53	0.7	0.88	0.69	0.58	0.46	0.65	0.5	0.34	99	116	142	0.74	3	0.34	0.41	1
HF009	0.52	0.53	0.54	0.72	0.73	0.74	0.68	0.69	0.7	94	95	96	0.38	1	0.29	0.37	0
HF010	0.58	0.78	0.98	0.64	0.5	0.38	0.6	0.44	0.28	108	128	160	0.82	4	0.36	0.42	1
HF011	0.5	0.51	0.52	0.74	0.75	0.76	0.7	0.71	0.72	92	93	94	0.36	1	0.28	0.36	0
HF012	0.6	0.82	1.04	0.62	0.48	0.36	0.58	0.42	0.26	112	134	168	0.84	4	0.37	0.44	1
HF013	0.52	0.53	0.54	0.72	0.73	0.74	0.68	0.69	0.7	94	95	96	0.38	1	0.3	0.38	0
HF014	0.55	0.72	0.9	0.68	0.56	0.44	0.64	0.48	0.32	100	118	146	0.76	3	0.34	0.41	1
HF015	0.49	0.5	0.51	0.75	0.76	0.77	0.71	0.72	0.73	91	92	93	0.34	1	0.27	0.35	0

clinical-hormonal-feedback-instability-v0.1

This dataset evaluates whether models can detect instability in endocrine feedback regulation.

Each row represents a simplified hormonal regulation scenario observed across three time points.

The task is to determine whether endocrine regulation remains stable or is moving toward hormonal feedback instability.

Hormonal regulation depends on feedback between hormone production, receptor sensitivity, and metabolic response.

Signals that interact include:

Instability emerges when hormonal signaling rises while receptor response and metabolic control become misaligned.

label = 1 → endocrine feedback instability
label = 0 → stable hormonal regulation

Each row includes:

Decoy variables:

Predictions must follow:

scenario_id,prediction

Example:

HF101,0
HF102,1

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