dataset-generation

Generate multi-speaker conversational datasets for LLM fine-tuning. N-persona support, topic variation, conversation continuation, creative briefs with web search, character pools, Docker support. ShareGPT format with configurable role mapping.

⚡️ The "1-Minute RAG Audit" — Generate QA datasets & evaluate RAG systems in Colab, Jupyter, or CLI. Privacy-first, async, visual reports.

An MCP server for dataset generation, fine-tuning, RL, and evaluation of LLMs — directly from your coding agent.

Open-source framework for turning expert knowledge into PII-free synthetic conversational data and production-ready LoRA adapters.

This repository contains a system for generating question-answer pairs for FINE-TUNING LLMs from the data you have.

An experiment with movie scenes and contrastive learning