README.md

metadata

license: apache-2.0
dataset_info:
  features:
    - name: id
      dtype: string
    - name: question
      dtype: string
    - name: audio
      dtype:
        audio:
          sampling_rate: 16000
    - name: time_seg
      sequence: float32
    - name: choices
      sequence: string
    - name: choices_text
      dtype: string
    - name: correct_choice
      dtype: string
    - name: answer
      dtype: string
  splits:
    - name: ballroom_genres
      num_bytes: 1925899097
      num_examples: 698
    - name: ballroom_tempo
      num_bytes: 1925872452
      num_examples: 698
    - name: fma_medium
      num_bytes: 498305254
      num_examples: 500
    - name: fma_small
      num_bytes: 494577738
      num_examples: 500
    - name: gs_key
      num_bytes: 871698808
      num_examples: 604
    - name: gs_key_30s
      num_bytes: 723475817
      num_examples: 500
    - name: gtzan
      num_bytes: 1322966904
      num_examples: 999
    - name: gtzan_key
      num_bytes: 1107113457
      num_examples: 836
    - name: gtzan_tempo
      num_bytes: 1322940956
      num_examples: 999
    - name: guitarset
      num_bytes: 1412458931
      num_examples: 500
    - name: ins_cls
      num_bytes: 66276146
      num_examples: 500
    - name: mcaps
      num_bytes: 1722373272
      num_examples: 500
    - name: md4q
      num_bytes: 291638084
      num_examples: 900
    - name: mmau_music
      num_bytes: 357422483
      num_examples: 334
    - name: mtg_genre
      num_bytes: 4668391219
      num_examples: 500
    - name: mtg_ins
      num_bytes: 4401162056
      num_examples: 500
    - name: mtg_mood
      num_bytes: 4021913485
      num_examples: 500
    - name: mucho
      num_bytes: 4664881419.128
      num_examples: 1184
    - name: nsyn_ins
      num_bytes: 64126382
      num_examples: 500
    - name: nsyn_pitch
      num_bytes: 64106228
      num_examples: 500
    - name: salami_cnt
      num_bytes: 3343328652
      num_examples: 831
    - name: salami_overall
      num_bytes: 1465379451
      num_examples: 380
    - name: salami_pred
      num_bytes: 2090449745
      num_examples: 500
    - name: salami_segd
      num_bytes: 1989854578
      num_examples: 500
    - name: tat
      num_bytes: 58716441
      num_examples: 500
  download_size: 37124447550
  dataset_size: 40875329055.128
configs:
  - config_name: default
    data_files:
      - split: ballroom_genres
        path: data/ballroom_genres-*
      - split: ballroom_tempo
        path: data/ballroom_tempo-*
      - split: fma_medium
        path: data/fma_medium-*
      - split: fma_small
        path: data/fma_small-*
      - split: gs_key
        path: data/gs_key-*
      - split: gs_key_30s
        path: data/gs_key_30s-*
      - split: gtzan
        path: data/gtzan-*
      - split: gtzan_key
        path: data/gtzan_key-*
      - split: gtzan_tempo
        path: data/gtzan_tempo-*
      - split: guitarset
        path: data/guitarset-*
      - split: ins_cls
        path: data/ins_cls-*
      - split: mcaps
        path: data/mcaps-*
      - split: md4q
        path: data/md4q-*
      - split: mmau_music
        path: data/mmau_music-*
      - split: mtg_genre
        path: data/mtg_genre-*
      - split: mtg_ins
        path: data/mtg_ins-*
      - split: mtg_mood
        path: data/mtg_mood-*
      - split: mucho
        path: data/mucho-*
      - split: nsyn_ins
        path: data/nsyn_ins-*
      - split: nsyn_pitch
        path: data/nsyn_pitch-*
      - split: salami_cnt
        path: data/salami_cnt-*
      - split: salami_overall
        path: data/salami_overall-*
      - split: salami_pred
        path: data/salami_pred-*
      - split: salami_segd
        path: data/salami_segd-*
      - split: tat
        path: data/tat-*
tags:
  - music
size_categories:
  - 10K<n<100K

MuCUE bench proposed in Advancing the Foundation Model for Music Understanding

eval code: https://github.com/Rickey-CS/MuCUE-Bench

Citation

@misc{jiang2025advancingfoundationmodelmusic,
      title={Advancing the Foundation Model for Music Understanding}, 
      author={Yi Jiang and Wei Wang and Xianwen Guo and Huiyun Liu and Hanrui Wang and Youri Xu and Haoqi Gu and Zhongqian Xie and Chuanjiang Luo},
      year={2025},
      eprint={2508.01178},
      archivePrefix={arXiv},
      primaryClass={cs.SD},
      url={https://arxiv.org/abs/2508.01178}, 
}