piyushptiwari/insureos-training-data
INSUREOS Training Data — Insurance AI Dataset Created by Bytical AI — AI agents that run insurance operations. Dataset Description A comprehensive synthetic training dataset for UK insurance AI models. Covers six task types across the complete insurance operations lifecycle. Files File Format Records Task Description insurance_sft_10k.jsonl JSONL 10,000 SFT Instruction-response pairs for insurance domain QA insurance_dpo_5k.jsonl JSONL… See the full description on the dataset page: https://huggingface.co/datasets/piyushptiwari/insureos-training-data.
INSUREOS Training Data — Insurance AI Dataset
Created by [Bytical AI](https://bytical.ai) — AI agents that run insurance operations.
Dataset Description
A comprehensive synthetic training dataset for UK insurance AI models. Covers six task types across the complete insurance operations lifecycle.
Files
SFT Data Schema
{
"instruction": "What is the FCA Consumer Duty and how does it affect UK insurers?",
"response": "The FCA Consumer Duty (PS22/9) came into force on 31 July 2023...",
"category": "regulation"
}DPO Data Schema
{
"prompt": "Explain the role of Lloyd's syndicates in the London market.",
"chosen": "Lloyd's syndicates are the risk-bearing entities within Lloyd's of London...",
"rejected": "Lloyd's is a big insurance company in London..."
}Document Classification Labels (12 classes)
Policy Schedule, Certificate of Insurance, Claim Form, Loss Adjuster Report, Bordereaux — Premium, Bordereaux — Claims, Endorsement, Renewal Notice, Statement of Fact, FNOL Report, Subrogation Notice, Policy Wording
NER Entity Types (13)
CLAIMNUMBER, DATE, INSURER, LOB, MGA, MONEY, ORG, PERIL, PERSON, POLICYNUMBER, POSTCODE, REGULATION, SYNDICATE, VEHICLE
Coverage Topics
- Regulation: FCA Consumer Duty, GDPR, Solvency II, IDD, Senior Managers Regime
- Market: Lloyd's of London, London Market, MGA operations, reinsurance
- Claims: FNOL, triage, reserving, subrogation, fraud indicators
- Underwriting: Risk assessment, pricing factors, exposure management
- Operations: Bordereaux processing, premium collection, policy administration
How to Use
from datasets import load_dataset
# Load SFT data
sft = load_dataset("piyushptiwari/insureos-training-data", data_files="insurance_sft_10k.jsonl")
# Load claims data
claims = load_dataset("piyushptiwari/insureos-training-data", data_files="claims_motor_25000k.csv")Learn How These Models Work
Want to understand how this data trains real ML models? We wrote a plain-English guide that walks through every INSUREOS model — the concepts, the data, and the training code:
- Learning guide: LEARN.md
- Training & data-generation code: piyushptiwari/insureos-models — see the `data/` generators and the `training/` scripts
Part of the INSUREOS Model Suite
Built by Bytical AI for training the INSUREOS model family:
- InsureLLM-4B — Insurance domain LLM
- InsureDocClassifier — Document classification
- InsureNER — Named Entity Recognition
- InsureFraudNet — Fraud detection
- InsurePricing — Premium pricing
About Bytical AI
Bytical builds AI agents that run insurance operations — claims automation, underwriting intelligence, digital sales, and core system modernization for insurers across the UK and Europe. Microsoft AI Partner | NVIDIA | Salesforce.
