VimalAntony/bfsi_QA_alpaca_dataset

BFSI Alpaca Dataset

Dataset Summary

This dataset contains synthetic Banking, Financial Services, and Insurance (BFSI) customer support conversations in Alpaca format.[file:40] Each record is a short, standardized query–response pair designed for training lightweight call center assistants that prioritize safety and compliance.[file:40]

Languages

• —English

Use Cases

• —Training or fine-tuning small language models for:
• —Loan, EMI, and disbursement queries
• —Account, KYC, and service request queries
• —Payments, UPI, cards, and transaction issues
• —Insurance and policy‑related customer questions
• —Building rule‑aligned, compliant BFSI chatbots and call center assistants.[file:40]

Dataset Structure

Format

• —Single JSON file following Alpaca style:
• —instruction: End‑user question or task (e.g., “EMI deducted twice.”).
• —input: Additional context (empty for most examples).
• —output: Safe, professional response text.[file:40]

Example

{
  "instruction": "EMI deducted twice.",
  "input": "",
  "output": "If duplicate debit is confirmed, please raise a dispute request for investigation."
}