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Datasets:
alerterra
/
election_scenarios

Languages:
English
Size:
1K<n<10K
Tags:
Synthetic
elections
political-risk
geopolitical
scenarios
markets
License:
Dataset card Files
xet
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Election Outcome Scenario Dataset

Multi-party outcomes with market impact and geopolitical implications

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

Overview

This dataset is part of the Alerterra Synthetic Intelligence Data Suite — 92 records across 23 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

  • Build election risk models for investment portfolios
  • Train geopolitical scenario planning tools
  • Support political risk insurance underwriting
  • Validate event-driven trading strategies
  • Assess policy shift probabilities

Dataset Structure

Metric Value
Records 92
Fields 23
Formats CSV, JSON, Parquet
Update Frequency Monthly

Fields

Field Type Description
election_id object Election Id
country_iso3 object Country Iso3
country_name object Country Name
election_type object Election Type
election_date object Election Date
incumbent_party object Incumbent Party
challenger_parties object Challenger Parties
outcome_scenario object Outcome Scenario
outcome_probability float64 Outcome Probability
policy_shift_magnitude object Policy Shift Magnitude
policy_areas_affected object Policy Areas Affected
market_impact_score float64 Market Impact Score
equity_impact_pct float64 Equity Impact Pct
currency_impact_pct float64 Currency Impact Pct
bond_spread_change_bps float64 Bond Spread Change Bps
fdi_flow_impact object Fdi Flow Impact
geopolitical_alignment_shift object Geopolitical Alignment Shift
sanctions_risk_change object Sanctions Risk Change
trade_policy_direction object Trade Policy Direction
violence_risk object Violence Risk
democratic_quality_impact object Democratic Quality Impact
international_observer_assessment object International Observer Assessment
historical_precedent object Historical Precedent

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
Professional $15,000/year
Enterprise $15,000-$40,000/year

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_election_scenarios_2026,
  title = {Election Outcome Scenario Dataset},
  author = {Alerterra Intelligence},
  year = {2026},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/alerterra/election_scenarios}
}

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