At the intersection of artificial intelligence and data science, a framework called InfoSeek is under active development, aiming to provide high-quality data synthesis for complex deep research tasks. InfoSeek employs a dual-agent system that gradually builds a research tree by mining entities and relationships from large texts, and fuzzily processes intermediate nodes to ensure the generation of valid sub-questions. This process ultimately transforms these research trees into natural language questions, requiring solvers to traverse the entire hierarchical structure to obtain comprehensive answers.

The development team of InfoSeek has released relevant datasets on well-known platforms to support researchers in their explorations within their respective fields. For example, with "Russet sparrow" (the red-throated prinia), the construction of the research tree involves multiple levels of entities and relationships, from the namer John Gould to his wife Elizabeth Gould, and then to the characteristics related to this species. Through this structured approach, researchers can clearly see how each question is decomposed and answered.

Another example is the study on SV Werder Bremen (women's football team). The complex relationships between the team's first goal scorer Doreen Nabwire, her developing organization Mathare Youth Sports Association, and her birthplace Korogocho are effectively presented under the InfoSeek framework. In this way, researchers can extract key information from multi-level structures, deepening their understanding of the issues.

InfoSeek has also demonstrated strong performance in traditional multi-hop benchmark tests, especially on BrowseComp-Plus, where the trained model shows competitive results. This provides new tools and ideas for future research, driving the further development of data synthesis technology.

Currently, the code and data of InfoSeek are released under the Apache 2.0 license, allowing both academic research and commercial use, and encouraging proper citations when used. Additionally, the development team calls for community support, hoping to gain more attention and feedback to promote the continuous improvement and innovation of the project.

Project: https://github.com/VectorSpaceLab/InfoSeek

Key Points:

🔍 InfoSeek is a dual-agent system that builds complex research trees by mining entities and relationships from text, generating high-quality datasets.  

🌳 Research examples cover birds and women's football teams, showcasing multi-layered information in a structured way, making it easier to understand and analyze.  

📈 InfoSeek performs well in traditional multi-hop benchmark tests, promoting the development of data synthesis technology and providing new tools for future research.