Datasets:

ClarusC64
/

clinical-drug-toxicity-instability-v0.1

scenario_id string	drug_level_proxy_t0 float64	drug_level_proxy_t1 float64	drug_level_proxy_t2 float64	liver_clearance_proxy_t0 float64	liver_clearance_proxy_t1 float64	liver_clearance_proxy_t2 float64	renal_clearance_proxy_t0 float64	renal_clearance_proxy_t1 float64	renal_clearance_proxy_t2 float64	sedation_index float64	metabolic_rate_proxy float64	drug_interaction_index float64	intervention_delay int64	lab_noise float64	chart_noise float64	label int64
DT001	0.32	0.34	0.35	0.78	0.77	0.76	0.74	0.73	0.72	0.28	0.54	0.2	1	0.31	0.4	0
DT002	0.35	0.55	0.82	0.7	0.56	0.42	0.68	0.52	0.38	0.64	0.72	0.58	4	0.33	0.42	1
DT003	0.3	0.31	0.32	0.8	0.79	0.78	0.76	0.75	0.74	0.26	0.52	0.18	1	0.28	0.36	0
DT004	0.34	0.6	0.88	0.68	0.52	0.4	0.66	0.5	0.36	0.68	0.75	0.6	4	0.35	0.43	1
DT005	0.33	0.35	0.36	0.77	0.76	0.75	0.73	0.72	0.71	0.29	0.55	0.21	1	0.3	0.38	0
DT006	0.36	0.62	0.9	0.66	0.5	0.38	0.64	0.48	0.34	0.72	0.78	0.63	4	0.37	0.44	1
DT007	0.29	0.3	0.31	0.81	0.8	0.79	0.77	0.76	0.75	0.25	0.51	0.17	1	0.27	0.35	0
DT008	0.34	0.57	0.84	0.69	0.54	0.41	0.67	0.51	0.37	0.66	0.74	0.59	3	0.34	0.41	1
DT009	0.32	0.34	0.35	0.78	0.77	0.76	0.74	0.73	0.72	0.28	0.54	0.2	1	0.29	0.37	0
DT010	0.38	0.66	0.94	0.64	0.48	0.36	0.62	0.46	0.32	0.75	0.8	0.66	4	0.36	0.42	1
DT011	0.3	0.31	0.32	0.8	0.79	0.78	0.76	0.75	0.74	0.26	0.52	0.18	1	0.28	0.36	0
DT012	0.4	0.7	0.98	0.62	0.46	0.34	0.6	0.44	0.3	0.78	0.82	0.68	4	0.37	0.44	1
DT013	0.33	0.35	0.36	0.77	0.76	0.75	0.73	0.72	0.71	0.29	0.55	0.21	1	0.3	0.38	0
DT014	0.34	0.6	0.88	0.68	0.52	0.4	0.66	0.5	0.36	0.68	0.75	0.6	3	0.34	0.41	1
DT015	0.29	0.3	0.31	0.81	0.8	0.79	0.77	0.76	0.75	0.25	0.51	0.17	1	0.27	0.35	0

clinical-drug-toxicity-instability-v0.1

This dataset evaluates whether models can detect instability caused by pharmacological load exceeding clearance capacity.

Each row represents a simplified drug metabolism scenario observed across three time points.

The task is to determine whether pharmacological regulation remains stable or is moving toward toxic instability.

Drug toxicity occurs when drug accumulation exceeds metabolic clearance capacity.

Instability emerges when:

The dataset tests interaction reasoning across these signals.

label = 1 → drug toxicity instability
label = 0 → stable pharmacologic regulation

Each row includes:

Decoy variables:

Predictions must follow:

scenario_id,prediction

Example:

DT101,0
DT102,1

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