domain stringclasses 2
values | input unknown | output unknown |
|---|---|---|
medical | {
"facility_id": "HOSP-01",
"jurisdiction": "US_CMS",
"metrics": {
"readmission_rate": 5.4
}
} | {
"quality_index": 89.4,
"status": "CSC_VALIDATED"
} |
corporate | {
"entity_id": "CORP-01",
"jurisdiction": "GLOBAL_PUBLIC",
"metrics": {
"governance_score": 92
}
} | {
"architecture_rating": "AAA",
"status": "CSC_VALIDATED"
} |
CSC Decision Intelligence Dataset
Deterministic decision intelligence seeds and cryptographic verification samples for multi-dimensional evaluation protocols.
Dataset Description
This dataset provides deterministic baseline seeds used by the CSC Protocol (@csc-protocol/core) to evaluate institutional, corporate, and healthcare entities under autonomous AI governance rules.
Supported Domains
- Healthcare (
medical): Facility operational efficiency, clinical readmission indices, and safety metrics under CMS guidelines. - Corporate Governance (
corporate): Structural rating, jurisdictional compliance, and architecture integrity validation.
Data Fields
domain(string): Evaluation domain context (medical,corporate).input(json/object): Raw entity parameters, operational telemetry, and jurisdictional metadata.output(json/object): Deterministic rating result, quality indices, and CSC validation status.
Usage with CSC Protocol
from datasets import load_dataset
dataset = load_dataset("csc-architecture/csc-decision-intelligence-dataset")
print(dataset["train"][0])
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