2023 TREC Deep Learning Track Dataset

Description

The Deep Learning track focuses on IR tasks where a large training set is available, allowing us to compare a variety of retrieval approaches including deep neural networks and strong non-neural approaches, to see what works best in a large-data regime.

Resources

Name Format Description Link
47 2023.qrels.pass.withDupes.no1.txt https://trec.nist.gov/data/deep/2023.qrels.pass.withDupes.no1.txt
47 2023.qrels.docs.wihDupes.no1.txt https://trec.nist.gov/data/deep/2023.qrels.docs.wihDupes.no1.txt
0 https://microsoft.github.io/msmarco/TREC-Deep-Learning#passage-ranking-dataset
0 https://microsoft.github.io/msmarco/TREC-Deep-Learning#passage-ranking-dataset
0 https://microsoft.github.io/msmarco/TREC-Deep-Learning#document-ranking-dataset
0 https://microsoft.github.io/msmarco/TREC-Deep-Learning#passage-ranking-dataset
0 https://microsoft.github.io/msmarco/TREC-Deep-Learning#document-ranking-dataset
47 2023.qrels.pass.withDupes.txt https://trec.nist.gov/data/deep/2023.qrels.pass.withDupes.txt
47 2023.qrels.docs.wihDupes.txt https://trec.nist.gov/data/deep/2023.qrels.docs.wihDupes.txt
21 deep2023.html https://trec.nist.gov/data/deep2023.html

Tags

  • trec-text-retrieval-conference

Topics

Categories