Datasets › AVQA

AVQA

archive 2025-07-28

Audio-visual question answering aims to answer questions regarding both audio and visual modalities in a given video. For example, given a video showing a traffic intersection where the light turns red and the parking stick drops, and the question “why did the stick fall in the video?”, it requires to combine the visual information “the stick dropping” and the audio information of a train whistle to answer the question as “Here comes the train”. To achieve an accurate reasoning process and get the correct answer, it is essential to extract cues and contexts from both audio and visual modalities and discover their inner causal correlations.

Real-life scenarios contain more complex relationships between audio-visual objects and a wider varieties of audio-visual daily activities. AVQA is an audio-visual question answering dataset for the multimodal understanding of audio-visual objects and activities in real-life scenarios on videos. AVQA provides diverse sets of questions specially designed considering both audio and visual information, involving various relationships between objects or in activities.

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 3 papers for it but never published that list.

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

  • AVQA

1 variant name, as the archive lists them.

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