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--- |
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license: cc0-1.0 |
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dataset_info: |
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features: |
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- name: Domain |
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dtype: string |
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- name: File |
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dtype: string |
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- name: URL |
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dtype: string |
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- name: Content |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 53016572 |
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num_examples: 172 |
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download_size: 19041868 |
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dataset_size: 53016572 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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--- |
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## Context & Motivation |
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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." |
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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. |
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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. |
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Thank you to Answer.AI and Jeremy Howard, the providers that are adopting this standard, and the maintainers of https://directory.llmstxt.cloud/. |
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## How this dataset was made |
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[This is the notebook](https://www.kaggle.com/code/mrisdal/generate-a-dataset-of-llms-txt-files) 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. |
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## Inspiration |
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* Give your LLM application access to this dataset to enhance its interactions with these tools, e.g., for code-generation tasks |
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* Search and knowledge retrieval |
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* Extract and summarize common developer tasks to generate novel benchmarks for LLM evaluation |
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* Validate the correctness of the llms.txt files |
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## Contributing |
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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. |
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Photo by <a href="https://unsplash.com/@solenfeyissa?utm_content=creditCopyText&utm_medium=referral&utm_source=unsplash">Solen Feyissa</a> on <a href="https://unsplash.com/photos/a-person-holding-a-cell-phone-in-their-hand-hWSNT_Pp4x4?utm_content=creditCopyText&utm_medium=referral&utm_source=unsplash">Unsplash</a> |
