AI RESEARCH
CIRCLED: A Multi-turn CIR Dataset with Consistent Dialogues across Domains
arXiv CS.CV
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ArXi:2605.26734v1 Announce Type: new Existing Multi-Turn Composed Image Retrieval (MTCIR) datasets lack dialogue-history consistency and are restricted to the fashion domain. To address these limitations, we construct CIRCLED by extending FashionIQ, CIRR, and CIRCO. In CIRCLED, the query at each turn progressively approaches the target image. Data are generated via a CIReVL-based retrieval pipeline and curated with multiple filters on retrieval success, turn length, consistency, and information redundancy to ensure quality.