66 个 · 数据集
从 Anthropic 提取的系统提示词——Claude Fable 5、Opus 4.8、Claude Code、Claude Design；OpenAI——ChatGPT 5.5 Thinking、GPT 5.5 Instant、Codex；Google——Gemini 3.5 Flash、3.1 Pro、Antigravity；以及 xAI Grok、Cursor、Copilot、VS Code、Perplexity 等。定期更新Extracted system prompts from Anthropic - Claude Fable 5, Opus 5, Claude Design, Claude Code. OpenAI - ChatGPT GPT-5.6-Sol, Codex. Google - Gemini 3.5 Flash, 3.1 Pro, Antigravity. xAI - Grok, Cursor, Copilot, VS Code, Perplexity, and more. Updated regularly.
🪢 开源 AI 工程平台:涵盖 LLM 评测、可观测性、指标、prompt 管理、playground 和数据集。集成 OpenTelemetry、LangChain、OpenAI SDK、LiteLLM 等。🍊 YC W23🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
BISHENG 是面向下一代企业 AI 应用的开放 LLM devops 平台。强大且全面的功能包括：GenAI workflow、RAG、Agent、统一模型管理、评估、SFT、数据集管理、企业级系统管理、可观测性等。BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation, SFT, Dataset Management, Enterprise-level System Management, Observability and more.
CSGHub 是 OpenCSG 团队开发的全新开源 LLM 管理平台，提供开源与本地化/SaaS 解决方案，功能对标 Hugging Face。兼容 Hugging Face Python SDK，全面掌控 LLM、数据集和 agent 的全生命周期。CSGHub is a brand-new open-source platform for managing LLMs, developed by the OpenCSG team. It offers both open-source and on-premise/SaaS solutions, with features comparable to Hugging Face. Gain full control over the lifecycle of LLMs, datasets, and agents, with Python SDK compatibility with Hugging Face. Join us! ⭐️
决定你的 AI 编码 Agent 阅读哪些内容，并保留凭证。每次裁剪都可逐字节恢复，从不杜撰结果，所有数据从你自己的语料库回放。Decides what your AI coding agent reads, and keeps receipts. Every cut is recoverable byte for byte, it never invents a result, and the numbers are replayed from your own corpus.
Solana 上规范资产的唯一可信源（source of truth）。The source of truth for canonical assets on Solana.
SYNERGY——系统综述研究筛选的开放机器学习数据集SYNERGY - Open machine learning dataset on study selection in systematic reviews
自托管 MCP 服务器，让你的 Obsidian/markdown 知识库可被任意 MCP 客户端检索——涵盖文本、PDF、Office 文档、图片与音频。基于类型化、可治理语料库的混合检索，5 万条笔记下仍可达亚秒级响应；文件保持纯 markdown。Self-hosted MCP server that makes your Obsidian/markdown vault searchable — text, PDFs, Office docs, images, audio — from any MCP client. Hybrid retrieval over a typed, governed corpus, sub-second at 50k notes; your files stay plain markdown.
IFSP - Hortolândia 物理题库Banco de questões de Física do IFSP - Hortolândia
大语言模型元数据的开放注册表——以单一机器可读的 models.json 提供身份、作者、模态、上下文/输出限制、能力与生命周期日期，并通过 JSON Schema 校验。CC BY 4.0Open registry of large-language-model metadata — identity, authorship, modalities, context/output limits, capabilities & lifecycle dates as one machine-readable models.json validated by JSON Schema. CC BY 4.0.
一条 RAG pipeline，从 Stack Overflow 抓取问答内容并转化为 RAG 格式，存储到 huggingface 数据集中。This is RAG pipeline that take question answer from Stack Overflow and convert it to rag and get stored in the dataset in huggingface
"社会崩溃"主题活体文献综述的永久存储仓库。Repository for permanent storage of a living literature review for societal collapse
为 Ramone 提供的容器化本地 RAG 服务，使用 atlas-corpus 检索、ChromaDB 会话记忆和 Ollama 生成。Containerised local RAG service for Ramone using atlas-corpus retrieval, ChromaDB session memory and Ollama generation.
dMIC60 线粒体–核 Crosstalk 论文中图表与 Table S1 的代码及源数据。Code and source data for figures and Table S1 from the dMIC60 mitochondrial–nuclear crosstalk manuscript.
基于 2026 年起市场研究行业岗位相关文献综述生成的 Wiki。Wiki generated from literature review about market research industry jobs starting 2026.
关于 Riemann zeta 零点无条件低重数剖面的未经同行评审的研究，附精确证书，并清晰区分与 RH 相关的探索。不证明 RH。Unrefereed research on unconditional low-multiplicity profiles for Riemann zeta zeros, with exact certificates and clearly separated RH-adjacent explorations. Does not prove RH.
复现研究结果所需的数据与代码Data and code required for reproducing the research results
支撑 AV/CAV 交通拥堵缓解半系统综述的数据与代码。Data and coding supporting a semi-systematic review of AV/CAV congestion mitigation.
研究语料骨架：配置驱动、自动校验的 Agent 文献综述流程Research corpus skeleton: config-driven, auto-validated agentic literature review (papers.yaml → README/stats/reports + CI + GitHub Pages)
数据驱动、自动验证的机器人研究文献综述语料库（manipulation、locomotion、perception、planning、learning、HRI、multi-robot、simulation）。Robotics Research Corpus: Data-driven, auto-validated literature review for robotics research (manipulation, locomotion, perception, planning, learning, HRI, multi-robot, simulation)
音乐研究语料库：面向音乐生成、MIR、感知与认知、AI 音乐系统、评估的 agentic 文献综述 — 覆盖符号、音频、多模态与 agentic 方向Music research corpus: agentic literature review of music generation, MIR, perception & cognition, AI music systems, evaluation — symbolic, audio, multimodal, agentic
贝叶斯统计研究语料库：面向贝叶斯统计（推断、计算、先验、模型选择、层次模型、非参数、深度贝叶斯、应用）的数据驱动、自动化校验文献综述Bayesian Statistics Research Corpus: Data-driven, auto-validated literature review for Bayesian statistics (inference, computation, priors, model selection, hierarchical, nonparametric, deep Bayesian, applications)
Bourbaki《数学基础》代数篇第 I–VIII 章 Markdown 版本，带永久 Stacks 风格标签，提供越语/中文/日语翻译及习题解答Bourbaki, Elements of Mathematics: Algebra chapters I-VIII as Markdown, with permanent Stacks-style tags, translations (vi/zh/ja) and worked exercises
Composio AI 产品运营案例研究：可复现的研究 Agent 与 100 个应用集成的就绪数据集。Composio AI Product Ops case study: reproducible research agent and 100-app integration readiness dataset.
呼吸道病毒传播系统综述的数据与代码。Data and code for a systematic review on respiratory virus transmission
针对个性化新抗原癌症疫苗与肿瘤特异性 T 细胞应答的独立结构化文献综述Independent structured literature review of personalized neoantigen cancer vaccines and tumor-specific T-cell responses.
面向开源库的机器可读错误知识库——MCP server、REST API 与静态数据集，将每条错误消息映射到抛出该错误的源代码行。Machine-consumable error knowledge base for open-source libraries — MCP server, REST API, and static dataset mapping every error message to the source line that raised it
科学写作作品集：摘要、Bulk & scRNA-seq 方法学文档、结果解读与期刊投稿信。Scientific writing portfolio: abstracts, Bulk & scRNA-seq methodology documentation, results interpretation, and journal cover letters
从 Paperimage 实验导出的文献综述论文语料库（含元数据与 PDF）。Literature review paper corpus (metadata + PDFs) exported from Paperimage experiments.
将 AI/ML/DL 应用于 CarakaBinary（源自《Carakasaṃhitā》的梵文 NLP 数据集）的研究项目。通过探索 EDA、ML、DL 与预训练模型来学习可复现研究。长期目标：为梵文与阿育吠陀知识构建可信的 AI。Research project applying AI/ML/DL to CarakaBinary, a Sanskrit NLP dataset derived from the Carakasaṃhitā. Exploring EDA, ML, DL and pretrained models to learn reproducible research. Long-term aim: build trustworthy AI for Sanskrit and Ayurvedic knowledge.
《面向可持续制药制造的混合人工智能：系统综述、分类法、整合框架与研究议程》的数据、代码与补充材料Data, code, and supplementary materials for Hybrid Artificial Intelligence for Sustainable Pharmaceutical Manufacturing: A Systematic Review, Taxonomy, Integrative Framework, and Research Agenda
来自 Principia 的研究问题合集Collective gatherings of research questions from Principia
系统综述《Artificial Intelligence for Agricultural Residue Burning Monitoring》的数据、筛选记录与补充材料。Data, screening records, and supporting materials for the systematic review “Artificial Intelligence for Agricultural Residue Burning Monitoring.”