TREC 2023 Authoring Tools for Multimedia Content (AToMiC) Track Dataset
Resources
6 resources available
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Corpus on Huggingface
FILE -
Atomic Track Home Page
FILE -
Image-to-Text topics
FILE -
Text-to-image topics
FILE -
Image-to-Text relevance judgments
FILE -
Text-to-Image relevance judgments
FILE
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| accrualPeriodicity | irregular |
| bureauCode |
[ "006:55" ] |
| contactPoint |
{ "fn": "Ian Soboroff", "hasEmail": "mailto:ian.soboroff@nist.gov" } |
| 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. |
| distribution |
[ { "title": "Corpus on Huggingface", "accessURL": "https://huggingface.co/TREC-AToMiC" }, { "title": "Atomic Track Home Page", "accessURL": "https://trec-atomic.github.io/" }, { "title": "Image-to-Text topics", "accessURL": "https://trec.nist.gov/data/atomic/TREC-2023-Image-to-Text.json" }, { "title": "Text-to-image topics", "accessURL": "https://trec.nist.gov/data/atomic/TREC-2023-Text-to-Image.json" }, { "title": "Image-to-Text relevance judgments", "accessURL": "https://trec.nist.gov/data/atomic/qrels.2023.i2t" }, { "title": "Text-to-Image relevance judgments", "accessURL": "https://trec.nist.gov/data/atomic/qrels.2023.t2i" } ] |
| identifier | ark:/88434/mds2-3257 |
| issued | 2024-05-15 |
| keyword |
[ "TREC text retrieval conference" ] |
| landingPage | https://data.nist.gov/od/id/mds2-3257 |
| 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_atomic.pdf" ] |
| theme |
[ "Information Technology:Data and informatics" ] |
| title | TREC 2023 Authoring Tools for Multimedia Content (AToMiC) Track Dataset |
