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Datasets:
friedrichor
/
ActivityNet_Captions

Tasks:
Text-to-Video
Text Retrieval
Video Classification
Modalities:
Text
Formats:
json
Languages:
English
Size:
10K - 100K
Libraries:
Datasets
pandas
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  [ActivityNet Captions](https://openaccess.thecvf.com/content_iccv_2017/html/Krishna_Dense-Captioning_Events_in_ICCV_2017_paper.html) contains 20K long-form videos (180s as average length) from YouTube and 100K captions. Most of the videos contain over 3 annotated events. We follow the existing works to concatenate multiple short temporal descriptions into long sentences and evaluate ‘paragraph-to-video’ retrieval on this benchmark.
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  We adopt the official split:
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  ActivityNet Official Release: [ActivityNet Download](http://activity-net.org/download.html)
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+ ## About
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  [ActivityNet Captions](https://openaccess.thecvf.com/content_iccv_2017/html/Krishna_Dense-Captioning_Events_in_ICCV_2017_paper.html) contains 20K long-form videos (180s as average length) from YouTube and 100K captions. Most of the videos contain over 3 annotated events. We follow the existing works to concatenate multiple short temporal descriptions into long sentences and evaluate ‘paragraph-to-video’ retrieval on this benchmark.
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  We adopt the official split:
 
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+ ## Official Release
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  ActivityNet Official Release: [ActivityNet Download](http://activity-net.org/download.html)
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