U.S. flag

An official website of the United States government

Dot gov

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Https

Secure .gov websites use HTTPS
A lock () or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Breadcrumb

  1. Home

Authoring Tools for Multimedia Content (AToMiC) Track 2023

Individual user responsibility: working data, derived data Data must be backed up using a tested/automated process: working data, derived data; published data resource data Not available to the public: working data; derived data Made available to the public as described below: Published data and Resource dataThe 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.

About this Dataset

Updated: 2025-04-06
Metadata Last Updated: 2024-04-18 00:00:00
Date Created: N/A
Data Provided by:
Dataset Owner: N/A

Access this data

Contact dataset owner Access URL
Landing Page URL
Table representation of structured data
Title Authoring Tools for Multimedia Content (AToMiC) Track 2023
Description Individual user responsibility: working data, derived data Data must be backed up using a tested/automated process: working data, derived data; published data resource data Not available to the public: working data; derived data Made available to the public as described below: Published data and Resource dataThe 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.
Modified 2024-04-18 00:00:00
Publisher Name National Institute of Standards and Technology
Contact mailto:[email protected]
Keywords TREC text retrieval conference
{
    "identifier": "ark:\/88434\/mds2-3243",
    "accessLevel": "public",
    "contactPoint": {
        "hasEmail": "mailto:[email protected]",
        "fn": "Ian Soboroff"
    },
    "programCode": [
        "006:045"
    ],
    "landingPage": "https:\/\/data.nist.gov\/od\/id\/mds2-3243",
    "title": "Authoring Tools for Multimedia Content (AToMiC) Track  2023",
    "description": "Individual user responsibility: working data, derived data Data must be backed up using a tested\/automated process: working data, derived data; published data resource data Not available to the public: working data; derived data Made available to the public as described below: Published data and Resource dataThe 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.",
    "language": [
        "en"
    ],
    "distribution": [
        {
            "accessURL": "https:\/\/pages.nist.gov\/trec-browser\/trec32\/atomic\/overview\/",
            "title": "Authoring Tools for Multimedia Content (AToMiC) Track"
        },
        {
            "downloadURL": "https:\/\/huggingface.co\/TREC-AToMiC",
            "mediaType": "application\/octet-stream",
            "title": "TREC 2023 CORPUS DATASET"
        }
    ],
    "bureauCode": [
        "006:55"
    ],
    "modified": "2024-04-18 00:00:00",
    "publisher": {
        "@type": "org:Organization",
        "name": "National Institute of Standards and Technology"
    },
    "theme": [
        "Information Technology:Computational science",
        "Information Technology:Data and informatics"
    ],
    "keyword": [
        "TREC text retrieval conference"
    ]
}