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

Tags

  • trec-text-retrieval-conference

Topics

Categories