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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.

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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

FileFormatRecordsTaskDescription
insurance_sft_10k.jsonlJSONL10,000SFTInstruction-response pairs for insurance domain QA
insurance_dpo_5k.jsonlJSONL5,000DPOPreference pairs (chosen/rejected) for alignment
insurance_docs_10k.jsonlJSONL10,000ClassificationInsurance documents with 12 class labels
insurance_ner_8k.jsonlJSONL8,000NERInsurance text with 13 entity types (BIO tagged)
claims_all_50000.jsonlJSONL50,000Fraud DetectionTabular claims data (Motor/Property/Liability)
claims_motor_25000k.csvCSV25,000Fraud/PricingMotor insurance claims with 23+ features
claims_property_15000k.csvCSV15,000FraudProperty insurance claims with 20+ features
claims_liability_10000k.csvCSV10,000FraudLiability insurance claims with 14+ features

SFT Data Schema

json
{
  "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

json
{
  "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

python
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:

Part of the INSUREOS Model Suite

Built by Bytical AI for training the INSUREOS model family:

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.