Datasets › NExT-QA (Open-ended VideoQA)

NExT-QA (Open-ended VideoQA)

Introduced by Junbin Xiao et al. in NExT-QA:Next Phase of Question-Answering to Explaining Temporal Actions18 May 2021 archive 2025-07-28

NExT-QA is a VideoQA benchmark targeting the explanation of video contents. It challenges QA models to reason about the causal and temporal actions and understand the rich object interactions in daily activities. This page records LLMs for answer evaluation.

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
Question Answering NExT-QA (Open-ended VideoQA) Flash-VStream Accuracy 61.6 Flash-VStream: Memory-Based Real-Time Understanding for... IVGSZ/Flash-VStream 6 Compare

Papers archive 2025-07-28

6 shown of 6 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 7. 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

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

MIT

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • NExT-QA (Open-ended VideoQA)

1 variant name, as the archive lists them.

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