Datasets › MusicQA

MusicQA

Introduced by Shansong Liu et al. in Music Understanding LLaMA: Advancing Text-to-Music Generation with Question Answering and Captioning22 Aug 2023 archive 2025-07-28

We propose the MusicQA dataset to train Music-enabled question-answering models and is used for training and evaluating our MU-LLaMA model. This dataset is generated using the MusicCaps and MagnaTagATune datasets. We utilize the descriptions/tags from existing datasets to prompt the MPT-7B Chat model to generate question-answer pairs through inference, reasoning, and paraphrasing. The dataset contains 12,542 music files for training making up 76.15 hours of music with 112,878 question-answer pairs.

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
Music Question Answering MusicQA MU-LLaMA BLEU 0.306 Music Understanding LLaMA: Advancing Text-to-Music... shansongliu/M2UGen +2 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 7. 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
Music Understanding LLaMA: Advancing Text-to-Music Generation with Question Answering and Captioning 3 1 22 Aug 2023 ran 3 of 4 samples (1 unverified; 4 pointer-only for licence)
Listen, Think, and Understand 1 1 18 May 2023 not harvested
LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention 7 1 28 Mar 2023 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

  • MusicQA

1 variant name, as the archive lists them.

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