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DraculaDragon/MUSIC-AVQA-v2.0

MUSIC-AVQA-v2.0 Data Release for the paper Tackling Data Bias in MUSIC-AVQA: Crafting a Balanced Dataset for Unbiased Question-Answering (Accepted by WACV 2024) by Xiulong Liu, Zhikang Dong and Peng Zhang. The paper solves the data bias issue of original MUSIC-AVQA dataset by manually collecting 1230 musical instrument performance videos along with 8.1k newly created QA pairs complementing to the original biased QA set. We include additional videos data and QA pairs after… See the full description on the dataset page: https://huggingface.co/datasets/DraculaDragon/MUSIC-AVQA-v2.0.

Author / organizationDraculaDragon
License (as declared)gpl-3.0
Downloads203 (as reported by Hugging Face)
Likes1
Created25 June 2025
Last updated at source25 June 2025
audio-visualmulti-modal-learningquestion-answeringaudio-visual-question-answering
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  • 16 Oct 2026 Description: MUSIC-AVQA-v2.0 Data Release for the paper Tackling Data Bias in MUSIC-AVQA: Crafting a Balanced Dataset for Unbiased Question-Answering (Accepted by WACV 2024) by Xiulong Liu, Zhikang Dong and Peng Zhang. The paper solves the data bias iss → MUSIC-AVQA-v2.0 Data Release for the paper Tackling Data Bias in MUSIC-AVQA: Crafting a Balanced Dataset for Unbiased Question-Answering (Accepted by WACV 2024) by Xiulong Liu, Zhikang Dong and Peng Zhang. The paper solves the data bias iss

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