Deep Video Understanding Annotations Dataset

The BBC Land Girls TV series is a 3 season series. Each season is 5 episodes of about 45mins each. The TRECVID group at NIST worked with the BBC Corp. to release the dataset to the research community to work on video understanding tasks. Unfortunately, the hosting arrangement for the dataset was not successful and the release of the video dataset couldn't be done. We are releasing the annotations conducted by NIST, without any video data, so that the researchers interested in working on knowledge graph understanding and natural language analysis can take advantage of them.

Data and Resources

Field Value
accessLevel public
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identifier ark:/88434/mds2-2535
issued 2022-01-25
landingPage https://data.nist.gov/od/id/mds2-2535
language {en}
license https://www.nist.gov/open/license
modified 2021-05-25 00:00:00
programCode {006:045}
publisher National Institute of Standards and Technology
references {https://dl.acm.org/doi/abs/10.1145/3372278.3390742,https://dl.acm.org/doi/10.1145/3394171.3416303,https://dl.acm.org/doi/10.1145/3394171.3416292,https://dl.acm.org/doi/10.1145/3394171.3416305}
resource-type Dataset
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theme {"Information Technology:Data and informatics","Mathematics and Statistics:Image and signal processing","Information Technology:Software research"}
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • AmeriGEO
  • AmeriGEOSS
  • CKAN
  • GEO
  • GEOSS
  • National
  • North America
  • United States
  • bbc
  • knowledge-graphs
  • land-girls
  • multimedia-understanding
  • video-analysis
  • video-description
isopen False
license_id other-license-specified
license_title other-license-specified
maintainer George Awad
maintainer_email george.awad@nist.gov
metadata_created 2025-09-24T08:01:15.731353
metadata_modified 2025-09-24T08:01:15.731361
notes The BBC Land Girls TV series is a 3 season series. Each season is 5 episodes of about 45mins each. The TRECVID group at NIST worked with the BBC Corp. to release the dataset to the research community to work on video understanding tasks. Unfortunately, the hosting arrangement for the dataset was not successful and the release of the video dataset couldn't be done. We are releasing the annotations conducted by NIST, without any video data, so that the researchers interested in working on knowledge graph understanding and natural language analysis can take advantage of them.
num_resources 2
num_tags 14
title Deep Video Understanding Annotations Dataset