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arXiv · 2510.21733

Augmenting Researchy Questions with Sub-question Judgments

Jia-Huei Ju·Eugene Yang·Trevor Adriaanse·Andrew Yates
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Abstract

The Researchy Questions dataset provides about 100k question queries with complex information needs that require retrieving information about several aspects of a topic. Each query in ResearchyQuestions is associated with sub-questions that were produced by prompting GPT-4. While ResearchyQuestions contains labels indicating what documents were clicked after issuing the query, there are no associations in the dataset between sub-questions and relevant documents. In this work, we augment the Researchy Questions dataset with LLM-judged labels for each sub-question using a Llama3.3 70B model. We intend these sub-question labels to serve as a resource for training retrieval models that better support complex information needs.

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Jia-Huei Ju, Eugene Yang, Trevor Adriaanse, Andrew Yates. 2025-09-30. Augmenting Researchy Questions with Sub-question Judgments. https://arxiv.org/abs/2510.21733

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