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
0 https://trec-atomic.github.io/
0 https://huggingface.co/TREC-AToMiC
23 TREC-2023-Text-to-Image.json https://trec.nist.gov/data/atomic/TREC-2023-Text-to-Image.json
23 TREC-2023-Image-to-Text.json https://trec.nist.gov/data/atomic/TREC-2023-Image-to-Text.json
0 qrels.2023.t2i https://trec.nist.gov/data/atomic/qrels.2023.t2i
0 qrels.2023.i2t https://trec.nist.gov/data/atomic/qrels.2023.i2t

Tags

  • trec-text-retrieval-conference

Topics

Categories