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
sanctions_entities / README.md
lexwhiting's picture
lexwhiting
Fix contact info: alerterra.com
4ab1e5f verified
preview code
|
raw
history blame contribute delete
4.23 kB
metadata 
license: other
license_name: alerterra-commercial
license_link: https://alerterra.com/data-license
tags:
  - synthetic
  - sanctions
  - compliance
  - screening
  - kyc
  - aml
  - entity-resolution
size_categories:
  - 1K<n<10K
language:
  - en
pretty_name: Sanctions Screening Entity Test Data
extra_gated_prompt: >-
  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.
extra_gated_fields:
  Company: text
  Role: text
  Country: country
  I agree to Alerterra's data usage terms: checkbox

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