Life Insurance Claims
Fake life insurance death claims, including a marked set of fraudulent ones.
- Rows
- 130
- Region
- India
- Labeled PII
- Yes
- Fraud labels
- Yes
What you can test with it
- Score a DLP, redaction or PII-detection system against the ground-truth answer key — every sensitive field is already labeled.
- Evaluate fraud detection: a labeled fraudulent subset is included, so precision and recall are measurable rather than estimated.
- Test life-insurance claims processing and fraud detection on India-shaped data rather than US-shaped placeholders.
- Populate a lower environment, demo or training set without touching real customer data.
Fields
- claim_ref
- policy_ref
- member_ref
- insurer_name
- policy_type
- employer_name
- insured_ref
- claimant_ref
- claims_processor_ref
- nominee_ref
- nominee_relationship
- date_of_death
- cause_of_death
- claim_filed_date
- sum_assured_claimed_minor
- approved_amount_minor
- status
- rejection_reason
- is_fraud
- fraud_signal
- fraud_evidence
- sum_assured_minor
- policy_status
- region_code
- country_code
Related datasets
Is this data safe to use?
Yes. Every record is generated, never derived from or masked from real people, and every identifier is non-issuable by construction — correctly formatted, but failing checksum validation or using a reserved range so it can never match a real person or institution.