LLM Training Data Crawler & Curator – Curate clean, deduplicated training data for AI models

Summary: This tool extracts and curates clean, deduplicated training data from websites or user-provided documents, scoring quality and exporting in formats suitable for LLM fine-tuning. It supports flexible crawling, automatic content extraction, and multiple output formats for efficient dataset preparation.

What it does

It crawls websites or processes user documents to extract main content, applies quality scoring and deduplication, and outputs data in JSONL, Parquet, CSV, or HuggingFace formats. It filters by language, removes emails/URLs, and chunks documents for training readiness.

Who it's for

Ideal for developers and researchers preparing domain-specific datasets for LLM fine-tuning, retrieval-augmented generation, or knowledge base creation.

Why it matters

It streamlines the creation of high-quality, clean, and deduplicated datasets, reducing manual data cleaning effort for AI training workflows.