Datasets › HiREST
HiREST (HIerarchical REtrieval and STep-captioning)
HiREST (HIerarchical REtrieval and STep-captioning) dataset is a benchmark that covers hierarchical information retrieval and visual/textual stepwise summarization from an instructional video corpus. It consists of 3.4K text-video pairs from a video dataset, where 1.1K videos have annotations of moment spans relevant to text query and breakdown of each moment into key instruction steps with caption and timestamps (totaling 8.6K step captions). The dataset consists of video retrieval, moment retrieval, and two novel moment segmentation and step captioning tasks.
Source: Hierarchical Video-Moment Retrieval and Step-Captioning
Image Source: Hierarchical Video-Moment Retrieval and Step-Captioning
Benchmarks archive 2025-07-28
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Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 7 papers for it but never published that list.
Dataset loaders archive 2025-07-28
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Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- HiREST
1 variant name, as the archive lists them.
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