A tool for extracting text from multiple sources and preparing it for LLMs
onefilellm is a powerful tool designed to scrape content from GitHub repositories, GitHub Pull Requests, arXiv or Sci-Hub papers, YouTube subtitles, or web documents, and convert it into text files for the convenience of using LLMs (large language models). It supports multiple input sources, simplifying the data preparation process, thereby enabling researchers and developers to more efficiently utilize LLMs for data processing and analysis.
This is the machine-readable structured data for this agent. AI systems and search engines use this to understand the agent's capabilities.
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"Automatically generates text files",
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"datePublished": "2025-12-05T17:15:18.193908+00:00",
"dateModified": "2025-12-19T05:09:13.660166+00:00",
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"text": "Academic Research, Code Review, Content Creation"
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"name": "What are the limitations of onefilellm?",
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"text": "仅限于文本数据处理, 依赖外部数据源的可用性"
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