Datasets › ViTT

ViTT (Video Timeline Tags)

Introduced by Gabriel Huang et al. in Multimodal Pretraining for Dense Video Captioning archive 2025-07-28

The ViTT dataset consists of human produced segment-level annotations for 8,169 videos. Of these, 5,840 videos have been annotated once, and the rest of the videos have been annotated twice or more. A total of 12,461 sets of annotations are released. The videos in the dataset are from the Youtube-8M dataset.

An annotation has the following format:

{
  "id": "FmTp",
  "annotations": [
    {
      "timestamp": 260,
      "tag": "Opening"
    },
    {
      "timestamp": 16000,
      "tag": "Displaying technique"
    },
    {
      "timestamp": 23990,
      "tag": "Showing foot positioning"
    },
    {
      "timestamp": 55530,
      "tag": "Demonstrating crossover"
    },
    {
      "timestamp": 114100,
      "tag": "Closing"
    }
  ]
}

Source: Video Timeline Tags (ViTT)

Benchmarks archive 2025-07-28

All 2 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Dense Video Captioning ViTT Vid2Seq (VidChapters-7M PT) SODA 0.151 — — 4 Compare
Zero-shot dense video captioning ViTT Vid2Seq (VidChapters-7M PT) CIDEr 30.2 — — 1 Compare

Papers archive 2025-07-28

3 shown of 3 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 14. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

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

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

  • ViTT

1 variant name, as the archive lists them.

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