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mtg-upf/HumMusQA

58 downloads in 30 days0 likesLast modified 31 Mar 2026View on Hugging Face

Permissive or share-alike

The declared licence (cc-by-4.0) is classified as permissive.

Declared licence: cc-by-4.0, from the tagEvidence: README.md at ca7bad0
Licence files: No licence file at the top level of the repositoryEvidence: file list at ca7bad0
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

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Tasks

question-answering

Citation text from the card

@inproceedings{weck-etal-2026-hummusqa,
    title = "{H}um{M}us{QA}: A Human-written Music Understanding {QA} Benchmark Dataset",
    author = "Weck, Benno  and
      Puentes, Pablo  and
      Poltronieri, Andrea  and
      Prabhu, Satyajeet  and
      Bogdanov, Dmitry",
    editor = "Epure, Elena V.  and
      Oramas, Sergio  and
      Doh, SeungHeon  and
      Ramoneda, Pedro  and
      Kruspe, Anna  and
      Sordo, Mohamed",
    booktitle = "Proceedings of the 4th Workshop on {NLP} for Music and Audio ({NLP}4{M}us{A} 2026)",
    month = mar,
    year = "2026",
    address = "Rabat, Morocco",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2026.nlp4musa-1.9/",
    doi = "10.18653/v1/2026.nlp4musa-1.9",
    pages = "58--67",
    ISBN = "979-8-89176-369-2",
    abstract = "The evaluation of music understanding in Large Audio-Language Models (LALMs) requires a rigorously defined benchmark that truly tests whether models can perceive and interpret music, a standard that current data methodologies frequently fail to meet.This paper introduces a meticulously structured approach to music evaluation, proposing a new dataset of 320 hand-written questions curated and validated by experts with musical training, arguing that such focused, manual curation is superior for probing complex audio comprehension.To demonstrate the use of the dataset, we benchmark six state-of-the-art LALMs and additionally test their robustness to uni-modal sh

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dataset_licence({ "id": "mtg-upf/HumMusQA" })
signal: "permissive"
stated_licence: "cc-by-4.0"
sources: 0