Datasets › MUSES

MUSES (MUlti-Shot EventS)

Introduced by Xiaolong Liu et al. in Multi-shot Temporal Event Localization: a Benchmark17 Dec 2020 archive 2025-07-28

MUSES is a large-scale dataset for temporal event (action) localization. It focuses on the temporal localization of multi-shot events, which are captured with multiple shots. Such events often appear in edited videos, such as TV shows and movies.

What’s included in MUSES:

  • 3,697 videos of TV and movie dramas
  • 716 hours of duration
  • 25 event categories
  • 652k shots
  • 31,477 annotated event instances

Benchmarks archive 2025-07-28

All 1 leaderboard 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
Temporal Action Localization MUSES TemporalMaxer mAP 27.2 TemporalMaxer: Maximize Temporal Context with only Max... tuantng/temporalmaxer 2 Compare

Papers archive 2025-07-28

2 shown of 2 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 12. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
TemporalMaxer: Maximize Temporal Context with only Max Pooling for Temporal Action Localization 1 1 16 Mar 2023 not harvested
Multi-shot Temporal Event Localization: a Benchmark 1 1 17 Dec 2020 not harvested

Dataset loaders archive 2025-07-28

No loader listed in the archive.

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

No modality tagged.

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • MUSES

1 variant name, as the archive lists them.

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