TREC 2023 Authoring Tools for Multimedia Content (AToMiC) Track Dataset

Description

The Authoring Tools for Multimedia Content (AToMiC) Track aims to build reliable benchmarks for multimedia search systems. The focus of this track is to develop and evaluate IR techniques for text-to-image and image-to-text search problems.

Resources

Name Format Description Link
Corpus on Huggingface Unknown Open resource
Atomic Track Home Page Unknown Open resource
Image-to-Text relevance judgments Unknown qrels.2023.i2t Open resource
Text-to-Image relevance judgments Unknown qrels.2023.t2i Open resource
Image-to-Text topics JSON TREC-2023-Image-to-Text.json Open resource
Text-to-image topics JSON TREC-2023-Text-to-Image.json Open resource

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