mlsanityData to 7 Oct 2026

YM2413-MDB: A Multi-Instrumental FM Video Game Music Dataset with Emotion Annotations

arXiv 2211.07131 ↗First posted 14 Nov 2022cs.SD cs.LG cs.MMcited by 7

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Abstract (arXiv)

Existing multi-instrumental datasets tend to be biased toward pop and classical music. In addition, they generally lack high-level annotations such as emotion tags. In this paper, we propose YM2413-MDB, an 80s FM video game music dataset with multi-label emotion annotations. It includes 669 audio and MIDI files of music from Sega and MSX PC games in the 80s using YM2413, a programmable sound generator based on FM. The collected game music is arranged with a subset of 15 monophonic instruments and one drum instrument. They were converted from binary commands of the YM2413 sound chip. Each song was labeled with 19 emotion tags by two annotators and validated by three verifiers to obtain refined tags. We provide the baseline models and results for emotion recognition and emotion-conditioned symbolic music generation using YM2413-MDB.

Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 24 of its 46 references that are in the map. First posted on arXiv 14 Nov 2022.

Builds on

24 of 46 references.

References · 24

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12 more
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Cited by year

Citing papers per year: 2024: 3; 2025: 4.

7 papers.

  1. 2024Are We There Yet? A Brief Survey of Music Emotion Prediction Datasets, Models and Outstanding Challengescited by 7
  2. 2025The GigaMIDI Dataset with Features for Expressive Music Performance Detectioncited by 7
  3. 2024Emotion-driven Piano Music Generation via Two-stage Disentanglement and Functional Representationcited by 4
  4. 2024PIAST: A Multimodal Piano Dataset with Audio, Symbolic and Textcited by 2
  5. 2025Adaptable Symbolic Music Infilling with MIDI-RWKVcited by 1
  6. 2025On the de-duplication of the Lakh MIDI datasetcited by 1
  7. 2025AImoclips: A Benchmark for Evaluating Emotion Conveyance in Text-to-Music Generationcited by 0