SyGra - Graph-oriented Synthetic data generation Pipeline

An open-source collection of datasets, guides, and rankings for B2B email marketing and lead generation. Your go-to resource for sales prospecting strategies.

Following is the Open Email Marketing Dataset; you can use it without any restrictions.

🔧 Modular pipeline for generating high-quality, domain-specific datasets for LLM fine-tuning — from PDFs and web scraping to synthetic Q&A generation, quality filtering, and training-ready formatting.

👨‍🏫This project was developed under the guidance of Mr. Lokesh Sir as part of the AI & ML Training Program. It explores LLM integration using Google Gemini APIs with a custom UI built on Streamlit.

Stratified LLM Subsets delivers diverse training data at 100K-1M scales across pre-training (FineWeb-Edu, Proof-Pile-2), instruction-following (Tulu-3, Orca AgentInstruct), and reasoning distillation (Llama-Nemotron). Embedding-based k-means clustering ensures maximum diversity across 5 high-quality open datasets.

Sample edition of The Stack Enriched: annotated, secure, and optimized code dataset, this is a sample version

High quality dataset containing ~2k lines of synthetically generated LLM training examples for spontaneous observations