ClarusC64/clinical-quad-data-lock-missingness-query-backlog-governance-deadline-v0.1

Clarus Clinical Quad Coupling Data Lock Missingness Query Backlog Governance Deadline v0.1

What this dataset is This dataset tests whether a model can detect data-lock risk caused by four interacting nodes.

Quad coupling nodes

• —Imminent data lock deadline
• —Missing or incomplete critical fields
• —Query backlog or unresolved flags
• —Governance or analysis pressure tied to lock

Input

• —One vignette

Output Return strict JSON only.

Required output JSON keys

• —datalockrisk
• —risk_type
• —driver_nodes
• —recommended_action
• —action_detail
• —rationale
• —confidence

Files

• —data/train.csv
• —data/test.csv
• —scorer.py

Scoring

• —Required key presence
• —Risk classification
• —Risk type match
• —Driver node overlap
• —Recommended action match
• —Action detail completeness
• —Rationale length
• —Confidence within 0 to 1

Run scoring Create JSONL {"id":"DL-T01","output":"{...your json...}"}

Run python scorer.py --goldcsv data/test.csv --predsjsonl your_outputs.jsonl