InfoSeek
收藏资源简介：
InfoSeek是一个可扩展的数据合成框架，用于构建结构复杂的深度研究任务。它设计了一个双代理系统，通过从大规模文本中挖掘实体和关系来递归构建研究树，并模糊中间顶点以确保形成有效的子问题。然后将这些树转化为自然语言问题，其解决方案需要遍历整个层次结构。使用InfoSeek流水线，我们构建了一个高质量、复杂度可控且内在可验证的数据集。
InfoSeek is a scalable data synthesis framework for constructing structurally complex deep research tasks. It incorporates a dual-agent system that recursively builds research trees by mining entities and relations from large-scale text, and fuzzes the intermediate vertices to ensure the generation of valid subproblems. These trees are then converted into natural language problems, the solutions of which require traversing the entire hierarchical structure. Using the InfoSeek pipeline, we have constructed a high-quality, complexity-controllable and intrinsically verifiable dataset.
InfoSeek 数据集概述
数据集简介
InfoSeek 是一个用于构建结构复杂的深度研究任务的可扩展数据合成框架。该框架设计了一个双代理系统，通过从大规模文本中挖掘实体和关系来递归构建研究树，并模糊中间顶点以确保它们形成有效的子问题。代理随后将这些树转化为自然语言问题，其解决方案需要遍历整个层次结构。使用 InfoSeek 流水线，构建了一个高质量、复杂度可控且内在可验证的数据集。
数据内容
数据集包含通过 InfoSeek 流水线构建的问题及其答案，每个问题对应一个树状结构，详细描述了实体之间的关系和声明。
示例1
- 问题: What is a species of bird that was named by a person employed under his father between 1818 and 1824, whose wife was a British artist, and which has three subspecies and body length is generally no more than 6 inches?
- 答案: Russet sparrow
- 树结构: 包含根节点（Russet sparrow）及其子节点（John Gould、None 等），通过声明连接（如 "was named by"、"has three subspecies"）。
示例2
- 问题: What is a womens football team whose first goals in the 2. Bundesliga were scored by a player born in Korogocho, who was discovered and developed by the Mathare Youth Sports Association?
- 答案: SV Werder Bremen (women)
- 树结构: 包含根节点（SV Werder Bremen (women)）及其子节点（Doreen Nabwire、Mathare Youth Sports Association 等），通过声明连接（如 "first goals scored by"、"discovered and developed by"）。
性能表现
在传统多跳基准测试中，基于 InfoSeek 训练的模型表现出强劲性能。3B 模型在 BrowseComp-Plus 上显示出竞争性结果。
许可证
代码和数据根据 Apache License, Version 2.0 发布，允许研究性和商业性使用、修改和分发，需遵循许可条款并给予适当署名。
引用
如果使用该数据集或相关工作，请考虑引用：
@misc{xia2025opendatasynthesisdeep, title={Open Data Synthesis For Deep Research}, author={Ziyi Xia and Kun Luo and Hongjin Qian and Zheng Liu}, year={2025}, eprint={2509.00375}, archivePrefix={arXiv}, primaryClass={cs.CL}, url={https://arxiv.org/abs/2509.00375}, }
