Hugging Face's logo

Datasets:
alerterra
/
sanctions_entities

Languages:
English
Size:
1K<n<10K
Tags:
Synthetic
sanctions
compliance
screening
kyc
aml
License:
Dataset card Data Studio Files
xet
Community

You need to agree to share your contact information to access this dataset

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Access this dataset by providing your details below. You'll get instant access to the free sample (100 records). Contact data@alerterra.com for the full dataset.

Log in or Sign Up to review the conditions and access this dataset content.

Sanctions Screening Entity Test Data

Realistic synthetic entities with name variations and match labels for screening system validation

Publisher: Alerterra Intelligence | Version: 1.0 | Updated: March 2026

Overview

This dataset is part of the Alerterra Synthetic Intelligence Data Suite — 191 records across 26 fields, generated using domain-specific AI models trained on patterns from Alerterra's enterprise intelligence platform.

100% synthetic — zero PII, zero real entity data. Safe for AI/ML model training, system testing, compliance demonstrations, and analyst training.

Use Cases

  • Validate and benchmark sanctions screening system accuracy (precision/recall)
  • Test fuzzy matching algorithms against realistic name variations and transliterations
  • Train ML models for entity resolution without exposing real screening data
  • Measure false positive rates across different matching thresholds
  • Test beneficial ownership chain detection and network analysis

Dataset Structure

Metric Value
Records 191
Fields 26
Formats CSV, JSON, Parquet
Update Frequency Monthly

Fields

Field Type Description
entity_id object Entity Id
entity_name object Entity Name
entity_type object Entity Type
aliases object Aliases
fuzzy_match_variants object Fuzzy Match Variants
nationalities object Nationalities
date_of_birth object Date Of Birth
place_of_birth object Place Of Birth
addresses object Addresses
id_documents object Id Documents
is_sanctioned bool Is Sanctioned
primary_list object Primary List
additional_lists object Additional Lists
designation_date object Designation Date
designation_reason object Designation Reason
sanctions_programs object Sanctions Programs
associated_entities object Associated Entities
beneficial_owners object Beneficial Owners
is_pep bool Is Pep
pep_position object Pep Position
risk_level object Risk Level
match_type object Match Type
match_score float64 Match Score
adverse_media bool Adverse Media
last_screening_date object Last Screening Date
status object Status

Sample Data

This repository contains a free sample (100 records). The full dataset and monthly refresh subscriptions are available at alerterra.com.

Pricing

Tier Details
Sample Free (100 records)
Standard $5,000 (10K entities, one-time)
Professional $12,000/year (quarterly refresh + new designations)
Enterprise $25,000-$150,000/year (custom schemas, API, multi-jurisdiction)

Methodology

Generated using Claude AI with domain-specific context injection encoding Alerterra's intelligence platform expertise (Vigila, Tradana, Gradara, Condura, Scrutera, RegSeal). Every dataset undergoes automated statistical validation, correlation analysis, and domain-specific business rule checks.

Citation 

@dataset{alerterra_sanctions_entities_2026,
  title = {Sanctions Screening Entity Test Data},
  author = {Alerterra Intelligence},
  year = {2026},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/alerterra/sanctions_entities}
}

Contact

Downloads last month
4