Introduction

Data Partners

Follow these instructions to get access to partner data, and see this notebook for a quickstart guide on using the partner data once it is in your workspace.

Bright Data

Bright Data is the world’s leading web data platform for AI and BI. Our tools power the entire A lifecycle-from training and fine-tuning models with clean, structured data to enabling AI agents to search, crawl, and navigate websites in real time using powerful remote browsers and advanced unlocking capabilities. Our solutions are used to fuel AI, support research, and monitor and analyze web data for smarter decision-making. Bright Data is proud to support this hackathon by providing high-quality datasets to help you develop your AI agents. These datasets are available through the Hackathon Delta Share platform, where you’ll also find dataset samples and detailed documentation for each. 

The available datasets include:

  • U.S. Google Maps Business Information

  • Global Booking.com Hotel Listings

  • Global Airbnb Property Information

These datasets are available for use in any of your projects and can be especially impactful for the “AI for Good” challenges. 

For more details about the Bright Initiative and about the provided datasets, please refer to this document.

mimilabs

Watch this video for an introduction to mimilabs data for the Hackathon.

mimilabs provides instant access to 30TB+ of publicly available healthcare data that's typically scattered across government websites. We've aggregated thousands of curated datasets from CMS, CDC, FDA, and other sources into one Databricks-powered data lakehouse that handles massive datasets fast. Hackathon participants can immediately query using SQL/pyspark, while our AI assistant MimiBot instantly helps you find the right data and shows exactly how to use it. Access Medicare benefits data, ratings, provider directories, quality measures, and social determinants of health through our data catalog. We've done the hard work of finding, cleaning, and centralizing public healthcare data so you can focus on building solutions.

Have questions? Join the mimilabs Slack group, where you can ask live questions during the hackathon, and reach out to Prince Baawuah or Yubin Park.

Nimble

See this page for details on getting started with Nimble and advice for using Nimble in the hackathon, and this notebook for instructions on using Nimble's MCP server with Databricks model serving via LangGraph and/or LlamaIndex.

Nimble turns the web into live, queryable tables—so your hackathon agent can tap web data such as fresh Google Maps places, reviews, product listings, and more. Spin up Nimble for custom delta tables generation with our headless browser + structuring pipeline, all served by the Nimble MCP Server. Connect from any notebook or IDE via REST or MCP, and get started with the quick-start guide at docs.nimbleway.com/ai-agents/mcp-server. 

Contact Us & Support Channels

Have questions? Look for any of the Hackathon mentors or Data for Good partners! We're happy to help.

Additional Instructions and Examples: Check out our GitHub repository for getting started instructions and demo materials.