Domain stringclasses 3
values | File stringclasses 2
values | URL stringclasses 5
values | Content stringclasses 5
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|---|---|---|---|
claude.com | llms.txt | https://claude.com/llms.txt | # Claude
Claude is an AI assistant created by Anthropic that can help with a wide variety of tasks including analysis, writing, math, coding, creative projects, and thoughtful conversation. Available through the web, mobile apps, API, and enterprise solutions for businesses of all sizes.
## Products
- [Product overv... |
mintlify.com | llms.txt | https://mintlify.com/docs/llms.txt | # Mintlify
> Mintlify is a platform for building and hosting documentation websites. It provides a set of tools and services for maintaining documentation and making it accessible to AI agents.
## Get started
- [Introduction](https://www.mintlify.com/docs/index.md): Mintlify is an AI-native documentation platform bu... |
mintlify.com | llms-full.txt | https://mintlify.com/docs/llms-full.txt | "# AI-native documentation\nSource: https://www.mintlify.com/docs/ai-native\n\nDiscover how AI-nativ(...TRUNCATED) |
docs.zapier.com | llms.txt | https://docs.zapier.com/llms.txt | "# Zapier — docs.zapier.com\n\n> Local index for developer documentation: SDK, MCP (Model Context (...TRUNCATED) |
docs.zapier.com | llms-full.txt | https://docs.zapier.com/llms-full.txt | "# Create a stored action\nSource: https://docs.zapier.com/api-reference/actions/stored-actions/crea(...TRUNCATED) |
Context & Motivation
https://llmstxt.org/ is a project from Answer.AI which proposes to "standardise on using an /llms.txt file to provide information to help LLMs use a website at inference time."
I've noticed many tool providers begin to offer /llms.txt files for their websites and documentation. This includes developer tools and platforms like Perplexity, Anthropic, Hugging Face, Vercel, and others.
I've also come across https://directory.llmstxt.cloud/, a directory of websites that have /llms.txt files which is curated by these folks: https://x.com/llmsdottxt. I thought it would be fun to use this awesome resource to collect all of the files into a single dataset. They're simply markdown files. This dataset can then be used to build cool applications.
Thank you to Answer.AI and Jeremy Howard, the providers that are adopting this standard, and the maintainers of https://directory.llmstxt.cloud/.
How this dataset was made
This is the notebook that fetches files that linked to from https://directory.llmstxt.cloud/ and uses the kagglehub Python client library to publish the resulting output as this dataset.
Inspiration
- Give your LLM application access to this dataset to enhance its interactions with these tools, e.g., for code-generation tasks
- Search and knowledge retrieval
- Extract and summarize common developer tasks to generate novel benchmarks for LLM evaluation
- Validate the correctness of the llms.txt files
Contributing
I'd love if anyone is interested in contributing to improving the notebook that extracts the llms.txt files. Leave a comment on this dataset or on the notebook. Feel free to also ping me with interesting demos or applications you create with this dataset.
Photo by Solen Feyissa on Unsplash
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