cx-cmu/Researchy-GEO

这是与**AutoGEO**一起发布的用于**生成引擎优化（GEO）**研究的研究领域数据集。它包括多个配置，如main、rule_candidate、cold_start、inference、grpo_input和grpo_eval，每个配置用于不同的目的，如训练、评估和推理。该数据集与题为生成搜索引擎喜欢什么以及如何协作优化网络内容的论文相关联，并标记用于文本生成和生成搜索等任务。

This is a research-domain dataset released with **AutoGEO** for **Generative Engine Optimization (GEO)** research. It includes multiple configurations such as main, rule_candidate, cold_start, inference, grpo_input, and grpo_eval, each serving different purposes like training, evaluation, and inference. The dataset is associated with a paper titled What Generative Search Engines Like and How to Optimize Web Content Cooperatively and is tagged for tasks like text-generation and generative-search.