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README.md
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# LexisNexis KYC Screening Dataset
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## Dataset Description
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This dataset contains parsed LexisNexis Bridger Insight screening records for Know Your Customer (KYC) name screening and entity resolution. It includes PEP (Politically Exposed Persons) and sanctions list matching data.
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### Dataset Structure
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```json
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{
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"screening_metadata": {
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"record_id": "string",
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"alert_state": "string",
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"status": "string",
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"is_false_positive": "boolean",
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"date_created": "string",
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"predefined_search_name": "string"
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},
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"input_profile": {
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"name": {
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"full": "string",
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"first": "string",
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"middle": "string",
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"last": "string"
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},
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"gender": "string",
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"addresses": [
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{
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"city": "string",
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"country": "string",
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"state": "string"
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}
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]
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},
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"hit_profiles": [
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{
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"names": [
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{
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"full": "string",
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"first": "string",
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"last": "string",
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"score": "string",
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"is_best_match": "boolean"
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}
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],
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"genders": ["string"],
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"nationalities": [
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{
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"country": "string",
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"category": "string"
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}
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],
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"addresses": [
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{
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"city": "string",
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"country": "string"
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}
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]
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}
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]
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}
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```
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### Use Cases
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- **Entity Resolution**: Match customer profiles against PEP/sanctions lists
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- **Name Screening**: Cross-reference names with watchlists
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- **RAG Pipelines**: Build retrieval systems for compliance screening
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- **SPARQL Integration**: Generate queries for Wikidata name disambiguation
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### Fields
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#### Input Profile (Customer/Subject)
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- Full name, parsed name components
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- Gender
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- Current address and country
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#### Hit Profiles (Watchlist Matches)
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- Multiple name aliases and variations
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- Match scores (0-100)
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- Gender information
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- Nationalities and citizenships
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- Associated addresses
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### Statistics
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- Total Records: 150
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- Records with Hits: 150
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- False Positives: 42
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## Intended Use
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This dataset is for:
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- Compliance and KYC research
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- Name entity resolution algorithm development
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- Training models for entity matching
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- Testing SPARQL query generation for name disambiguation
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## License
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Proprietary - LexisNexis Bridger Insight data
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