mlsanityData to 7 Oct 2026

JamendoMaxCaps: A Large Scale Music-caption Dataset with Imputed Metadata

arXiv 2502.07461 ↗First posted 11 Feb 2025cs.SD cs.AIcited by 14

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Abstract (arXiv)

We introduce JamendoMaxCaps, a large-scale music-caption dataset featuring over 362,000 freely licensed instrumental tracks from the renowned Jamendo platform. The dataset includes captions generated by a state-of-the-art captioning model, enhanced with imputed metadata. We also introduce a retrieval system that leverages both musical features and metadata to identify similar songs, which are then used to fill in missing metadata using a local large language model (LLLM). This approach allows us to provide a more comprehensive and informative dataset for researchers working on music-language understanding tasks. We validate this approach quantitatively with five different measurements. By making the JamendoMaxCaps dataset publicly available, we provide a high-quality resource to advance research in music-language understanding tasks such as music retrieval, multimodal representation learning, and generative music models.

Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). Builds on 19 of its 24 references that are in the map. First posted on arXiv 11 Feb 2025.

Builds on

19 of 24 references.

References · 19

  1. 2023BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Modelscited by 6,069
  2. 2019BERTScore: Evaluating Text Generation with BERTcited by 5,462
  3. 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 3,972
  4. 2022A Survey on In-context Learningcited by 717
  5. 2022Large-scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentationcited by 707
  6. 2024Qwen2-Audio Technical Reportcited by 543
  7. 2023SALMONN: Towards Generic Hearing Abilities for Large Language Modelscited by 492
  8. 2023Simple and Controllable Music Generationcited by 480
  9. 2022BEATs: Audio Pre-Training with Acoustic Tokenizerscited by 378
  10. 2023WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Researchcited by 266
  11. 2023MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Trainingcited by 175
  12. 2023Noise2Music: Text-conditioned Music Generation with Diffusion Modelscited by 173
7 more
  1. 2023Mustango: Toward Controllable Text-to-Music Generationcited by 100
  2. 2023The Song Describer Dataset: a Corpus of Audio Captions for Music-and-Language Evaluationcited by 68
  3. 2023Video2Music: Suitable Music Generation from Videos using an Affective Multimodal Transformer modelcited by 37
  4. 2024Missing Modality Prediction for Unpaired Multimodal Learning via Joint Embedding of Unimodal Modelscited by 20
  5. 2024MidiCaps: A large-scale MIDI dataset with text captionscited by 19
  6. 2024Text2midi: Generating Symbolic Music from Captionscited by 18
  7. 2018Deep Content-User Embedding Model for Music Recommendationcited by 1

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Citing papers per year: 2025: 5; 2026: 9.

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