SyGra - Graph-oriented Synthetic data generation Pipeline

llm-training-data 开源项目推荐(40 个)
llm-training-data 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 40 个仓库该项目在 GitHub 上没有填写描述
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.
Following is the Open Email Marketing Dataset; you can use it without any restrictions.
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.
(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.
🔧 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.
A CC0 bilingual (English and Japanese) Q&A corpus that encodes the documented judgment of the author's practice lines (AKC, Contemplative Agent, AAP, Authorship Strategy) as material for LLM training and RAG; the operational form of Authorship Strategy's LLM-first ingest tactic.
This is a collection of synthetically generated datapoints for fine tuning meant for seeding larger synthetic datasets.
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.
Free 10-simulation sample (CC BY 4.0) of RoboMacro's Global Macro Economic Simulations: 30 countries, 45 macro and market series, Q1-Q20 impulse responses as JSON training records, QA and tool-use rows. 1,000- and 10,000-sim packs for exclusive sale to one AI lab: [email protected]
Scripts for preparing LLM training datasets
web page into a source-grounded semantic document and derives LLM-ready text from that document
Sample edition of The Stack Enriched: annotated, secure, and optimized code dataset, this is a sample version
Bilibili Danmaku Scraper API (哔哩哔哩弹幕提取器) — Extract real-time XML bullet comments (弹幕), exact video timestamps, peak reaction minutes (peakMinute), and sender hashes from Bilibili videos without cookies or login. Built for AI/LLM corpora, Python, n8n & Claude MCP.
Archive the first official U.S. Department of War UAP declassification, containing 162 verified technical files, photographs, and videos.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/llm-training-data。
- 该话题在 GitHub 上共有 40 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 192 Star,覆盖 3 种主要语言,数据更新于 2026-11-10。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。