Lightning Rod: Training Data From News – Automated labeled datasets from real-world news

Summary: Lightning Rod generates labeled training data from news and public sources without manual annotation. Users select topics and criteria, and the tool produces LLM-ready datasets with source provenance and quality filtering.

What it does

It automatically creates labeled datasets by extracting data from global news, public records, or user documents based on defined criteria. Each record includes a link to its original source for auditing.

Who it's for

Ideal for AI developers and researchers needing scalable, high-quality training data for fine-tuning and evaluating large language models.

Why it matters

It addresses the bottleneck of costly and slow manual labeling by providing fast, scalable, and auditable training data generation.