2023 TREC Deep Learning Track Dataset
Resources
8 resources available
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Document Ranking Corpus
FILE -
Passage Ranking Corpus
FILE -
Passage Ranking Topics
FILE -
Document Ranking (NIST, 1 judgments mapped to 0)
FILE -
Document Ranking NIST QRels
FILE -
Passage Ranking (NIST, 1 judgments mapped to 0)
FILE -
Passage Ranking NIST QRels
FILE -
2023 Deep Learning Data Page
FILE
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[ "006:55" ] |
| contactPoint |
{ "fn": "Ian Soboroff", "hasEmail": "mailto:ian.soboroff@nist.gov" } |
| 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. |
| distribution |
[ { "title": "Document Ranking Corpus", "accessURL": "https://microsoft.github.io/msmarco/TREC-Deep-Learning#document-ranking-dataset" }, { "title": "Passage Ranking Corpus", "accessURL": "https://microsoft.github.io/msmarco/TREC-Deep-Learning#passage-ranking-dataset" }, { "title": "Passage Ranking Topics", "accessURL": "https://microsoft.github.io/msmarco/TREC-Deep-Learning#passage-ranking-dataset" }, { "title": "Document Ranking (NIST, 1 judgments mapped to 0)", "accessURL": "https://trec.nist.gov/data/deep/2023.qrels.docs.wihDupes.no1.txt" }, { "title": "Document Ranking NIST QRels", "accessURL": "https://trec.nist.gov/data/deep/2023.qrels.docs.wihDupes.txt" }, { "title": "Passage Ranking (NIST, 1 judgments mapped to 0)", "accessURL": "https://trec.nist.gov/data/deep/2023.qrels.pass.withDupes.no1.txt" }, { "title": "Passage Ranking NIST QRels", "accessURL": "https://trec.nist.gov/data/deep/2023.qrels.pass.withDupes.txt" }, { "title": "2023 Deep Learning Data Page", "accessURL": "https://trec.nist.gov/data/deep2023.html" } ] |
| identifier | ark:/88434/mds2-3259 |
| issued | 2024-05-10 |
| keyword |
[ "TREC text retrieval conference" ] |
| landingPage | https://data.nist.gov/od/id/mds2-3259 |
| language |
[ "en" ] |
| license | https://www.nist.gov/open/license |
| modified | 2024-05-08 00:00:00 |
| programCode |
[ "006:045" ] |
| publisher |
{ "name": "National Institute of Standards and Technology", "@type": "org:Organization" } |
| references |
[ "https://trec.nist.gov/pubs/trec32/papers/Overview_deep.pdf" ] |
| theme |
[ "Information Technology:Data and informatics" ] |
| title | 2023 TREC Deep Learning Track Dataset |
