NES-VMDB

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FDG 2024 NES project.

NES-VMDB 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

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# The NES Video-Music Database
The NES Video-Music Database (NES-MVDB) is a dataset of 98,940 short (15 seconds) gameplay videos from 386 NES games, each paired with its original music piece in symbolic format (MIDI). NES-MVDB is built upon the Nintendo Entertainment System Music Database [(NES-MDB)](https://github.com/chrisdonahue/nesmdb#dataset-information).

- [Dataset on Google Drive](https://drive.google.com/drive/folders/1H9LaoBqB-6-DUpXte0-DRKa8ko2cJOjv?usp=sharing)
- [Paper on arXiv](https://arxiv.org/abs/2404.04420)

# Dataset structure
The dataset is organized into 4 directories:
- **Midi**: all the original midi files from NES-MDB.
- **Audio**: all the original midi files from NES-MDB synthesized as MP3 with the original NES synth.
- **Videos**: all gameplay videos in the dataset, organized by game id, and sliced in fragments of 15 seconds
- **Video-Midi**: a csv file with the game id, name, and metadata of each game in the dataset.

The mapping csv file has the following structure:

![alt text](https://github.com/rubensolv/NES-VMDB/blob/main/images/mapping_csv_structure.png)
 
- `sliced query`:  contains the sliced fragment of the gameplay video extracted previously from YouTube. 
- `midi suggested`: file is related to the suggested music from NES-MDB which [Dejavu](https://github.com/worldveil/dejavu) (Shazam algorithm-based) did the match.
- `sliced query` and `sliced query` are confidence values related to the Dejavu score. Great values mean better confidence between the sliced query fragment and the midi suggested.

## Citing this Dataset

This dataset was presented in the paper [The NES Video-Music Database: A Dataset of Symbolic Video Game Music Paired with Gameplay Videos](https://arxiv.org/abs/2404.04420), so if you use the dataset, please cite:

```
@article{cardoso2024nes,
  title={The NES Video-Music Database: A Dataset of Symbolic Video Game Music Paired with Gameplay Videos},
  author={Cardoso, Igor and Moraes, Rubens O and Ferreira, Lucas N},
  journal={arXiv preprint arXiv:2404.04420},
  year={2024}
}
```

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