MIMICS-Duo: Offline & Online Evaluation of Search Clarification
Leila Tavakoli, Johanne R. Trippas, Hamed Zamani, Falk Scholer, Mark, Sanderson

TL;DR
MIMICS-Duo is a new dataset that facilitates comprehensive offline and online evaluation of search clarification methods, addressing resource limitations in this research area.
Contribution
It introduces MIMICS-Duo, a large, annotated dataset enabling multi-dimensional evaluation of search clarification techniques, including offline and online assessments.
Findings
Demonstrates the relationship between offline and online clarification datasets
Provides extensive analysis of search clarification data
Outlines future research directions using MIMICS-Duo
Abstract
Asking clarification questions is an active area of research; however, resources for training and evaluating search clarification methods are not sufficient. To address this issue, we describe MIMICS-Duo, a new freely available dataset of 306 search queries with multiple clarifications (a total of 1,034 query-clarification pairs). MIMICS-Duo contains fine-grained annotations on clarification questions and their candidate answers and enhances the existing MIMICS datasets by enabling multi-dimensional evaluation of search clarification methods, including online and offline evaluation. We conduct extensive analysis to demonstrate the relationship between offline and online search clarification datasets and outline several research directions enabled by MIMICS-Duo. We believe that this resource will help researchers better understand clarification in search.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
