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Real-World Regulatory & Safety Data

Real government data, collected not simulated. No models and no synthetic patients in this one.

What "Real-World" Means Here

Every dataset in this category is built entirely from real, publicly published regulatory and safety records — not simulated, not modeled, not synthesized. This category exists specifically to separate that from the rest of the Sentinel Data catalog, which is built on literature-verified mechanistic synthetic models (ODEs, Markov chains, PK/PD equations).

What Belongs Here

Datasets built from real government filings, adverse-event reports, and regulatory correspondence — restructured, labeled, and packaged for AI training and research, but never generated or simulated. Licensing and exact source agency are specified on each product's own page.

Who This Is For

AI/ML teams training agents on real regulatory and safety decision-making
Regulatory affairs and competitive-intelligence teams
Researchers studying approval, safety, and compliance patterns in real-world records

Real-World Regulatory & Safety Data

1 AVAILABLE

Real-World Regulatory & Safety Data

RegTrace v1 — FDA Regulatory Trajectory Dataset for Reinforcement Learning

Real FDA drug-application regulatory trajectories — submissions, Complete Response Letters, and final outcomes — packaged as verifiable-reward RL episodes and SFT traces for training regulatory-decision AI agents.

$350

👁 8 views🛒 0 soldSKU: CSD21026

DOI

FAQ

Is this data synthetic, like the rest of your catalog?

No. Everything in this category is built from real, publicly published regulatory or safety records — not generated from a mechanistic model.

What license applies to the underlying data?

Varies by source agency — check the Licensing section on each product's page.

What format do I get?

See the Format line on each product page — typically Parquet, with JSONL where nested RL/SFT structures require it.