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.
A complete BattleScribe and New Recruit data repository for Warhammer Fantasy Battles 6th Edition. Includes all official and experimental rules, FAQs, and community contributions.
Markdown mirror of the MinistryPlatform Help Center (help.acst.com) for querying by AI coding assistants via Context7 MCP. Content © ACS Technologies, mirrored with permission.
Following is the Open Email Marketing Dataset; you can use it without any restrictions.
(EXPERIMENTAL) Evidence-grounded data filter that checks PubMed claims against scientific evidence to curate medical AI training data.
Machine-readable dataset for public Department of War / PURSUE UFO-UAP Release 01 records.
A DOI-targeted Q&A corpus encoding the documented judgment of the shimo4228 research program (AKC, Contemplative Agent, AAP, Authorship Strategy) as bilingual (EN+JA) training data. Operational form of Authorship Strategy Layer 4 tactic 7 (LLM-first ingest).
🔧 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.
暖流人心 心理健康內容庫｜臨床心理師劉子維｜AEO mirror of warmflowpsy.tw
👨🏫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.
High-throughput Q&A data synthesis pipeline for training LLMs. Self-hosted, "SOTA", open-source — generate 7.2K+ validated pairs/day
web page into a source-grounded semantic document and derives LLM-ready text from that document
Archive the first official U.S. Department of War UAP declassification, containing 162 verified technical files, photographs, and videos.
Sample edition of The Stack Enriched: annotated, secure, and optimized code dataset, this is a sample version
End-to-end framework for task-specializing, evaluating, and deploying language models.
This is a collection of synthetically generated datapoints for fine tuning meant for seeding larger synthetic datasets.
Canonical machine-readable corpus of Yonathan Arbel scholarship for retrieval, citation, and LLM research
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