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MovieQA

Introduced by Makarand Tapaswi et al. in MovieQA: Understanding Stories in Movies through Question-Answering1 Jan 2016 archive 2025-07-28

The MovieQA dataset is a dataset for movie question answering. to evaluate automatic story comprehension from both video and text. The data set consists of almost 15,000 multiple choice question answers obtained from over 400 movies and features high semantic diversity. Each question comes with a set of five highly plausible answers; only one of which is correct. The questions can be answered using multiple sources of information: movie clips, plots, subtitles, and for a subset scripts and DVS.

Source: Movie Question Answering: Remembering the Textual Cues for Layered Visual Contents Image Source: https://www.researchgate.net/figure/Examples-of-multiple-choice-QA-from-the-MovieQA-dataset-Each-question-has-5_fig2_321379716

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
Video Story QA MovieQA Long Story Short Accuracy 51.49 Long Story Short: a Summarize-then-Search Method for... JiwanChung/long-story-short 3 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 86. 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

Unknown

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • MovieQA

1 variant name, as the archive lists them.

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