---
license: mit
task_categories:
  - text-classification
language:
  - en
pretty_name: Electrical Grid Disaster Assessment Dataset
size_categories:
  - 10K<n<100K
tags:
  - disaster-management
  - electrical-grid
  - emergency-response
  - power-systems
  - synthetic-data
---

# Electrical Grid Disaster Assessment Dataset

This dataset contains synthetic supervised training examples for electrical grid assessment and disaster management during natural hazards.

## Files

- electrical_grid_disaster_training_data_50k.json
- electrical_grid_disaster_training_data_50k.jsonl

## Schema

Each record contains:

- sample_id
- instruction
- input
- output
- quality_checks

The dataset is designed for model training tasks such as severity assessment, restoration prioritization, safety decisioning, and emergency coordination.

## Generation Notes

- Total samples: 50,000
- Multi-hazard and cascading scenarios are included.
- DER/microgrid dispatch decisions are included.
- Substation/protection-related scenarios are included.

## Intended Use

Research and model development for disaster-aware grid operations. Not for real-time life-critical autonomous decision-making without human oversight.