Datasets › PHD²
PHD² (Personalized Highlight Detection Dataset)
The dataset contains information on what video segments a specific user considers a highlight. Having this kind of data allows for strong personalization models, as specific examples of what a user is interested in help models obtain a fine-grained understanding of that specific user.
The data consists of YouTube videos, from which gifs.com users manually extracted their highlights, by creating GIFs from a segment of the full video. Thus, the dataset is similar to PHD-GIFS, with two major differences.
- Each selection is associated with a user, which is what allows personalization.
- instead of visual matching to find the position in the video from which a GIF was selected, PHD-GIFS uses the timestamps. Thus, the ground truth is free from any alignment errors.
The training set contains highlights from 12,972 users. The test set contains highlights from 850 users.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 4 papers for it but never published that list.
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
No task tagged in the archive.
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- PHD²
1 variant name, as the archive lists them.
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