🌟 Awesome Masa

A curated collection of datasets, tools, and agents for AI developers using the Masa protocol.

Masa Protocol

🚀 Quick Start

1. Ensure you have Conda installed.

2. Create the environment:

   conda env create -f environment.yml
   conda activate awesome-masa

3. Set up environment variables:

   • Copy env.example to .env
   • Fill in the required values

📚 Contents

Datasets

Scrapers

Agents

Contribution

License

📊 Datasets

Our repository includes various datasets scraped and processed using the Masa Protocol:

🐦 Twitter Data

Scraped tweets related to various topics, including memecoin discussions.

For more details, check out the datasets README.

🎙️ Podcast Data

• Diarized Transcripts: Podcast episodes with speaker identification and timestamps.
• Examples: Bankless, Huberman Lab, Laura Shin, Real Vision, The Mint Condition

💬 Discord Data

• Channel Data: Messages from Discord channels, including user information and timestamps.
• Examples: Guild: Masa, Channel ID: 1217114388373311640

This dataset contains community conversations related to Masa.

📺 YouTube Data

A collection of YouTube video transcripts, diarized with speaker labels.

🕷️ Scrapers

We provide several scraper libraries to collect data from different sources using the Masa Protocol:

• Tweet Fetcher: Retrieve tweets from specified Twitter accounts.
• Discord Scraper: Fetch and save messages from Discord channels.

For usage instructions, refer to the respective README files in the scrapers directory.

🤖 Agents

We provide example code for simple RAG (Retrieval-Augmented Generation) agents using our datasets. These agents demonstrate how to leverage the Masa protocol's structured data in AI applications.

Example RAG Agent

Our example RAG agent showcases:

• Loading and preprocessing Masa datasets
• Implementing vector search for relevant context retrieval
• Integrating retrieved context with a language model for enhanced responses

For the full implementation, see the RAG example agent file.

🤝 Contribution

We welcome contributions! If you have a dataset, tool, or agent that fits well with our collection, feel free to submit a pull request or open an issue.

For more information on using these datasets or contributing, please refer to the documentation or contact us directly.

📄 License

This project is licensed under the MIT License. See the LICENSE file for details.

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Made with ❤️ by the Masa Foundation