---
title: edm-cue
canonical_url: "https://www.modelscope.cn/datasets/disco-eth/edm-cue"
md_url: "https://www.modelscope.cn/datasets/disco-eth/edm-cue.md"
repository: disco-eth/edm-cue
last_updated: 2025-05-21
license: "Apache License 2.0"
storage_size: "306 KB"
downloads: 612
stars: 0
---

# edm-cue

> edm-cue - disco-eth 在 ModelScope 开源的数据集。The EDM-CUE dataset contains metadata for 5k EDM tracks. Cue points are essential for DJs, so we asked the question "can they be placed by a learned system?" To Answer this question we gathered 21k cue points manually…

disco-eth/edm-cue 是 ModelScope 魔搭社区上的数据集，存储大小 306 KB，采用 Apache License 2.0 许可。

- **Repository**: disco-eth/edm-cue
- **License**: Apache License 2.0
- **Storage size**: 306 KB
- **Downloads**: 612
- **Stars**: 0
- **Last updated**: 2025-05-21

Source: https://www.modelscope.cn/datasets/disco-eth/edm-cue

---

```
from datasets import load_dataset
captions = load_dataset("disco-eth/edm-cue")
```

# What is EDM-CUE?

The EDM-CUE dataset contains metadata for ~5k EDM tracks. Cue points are essential for DJs, so we asked the question "can they be placed by a learned system?" To Answer this question we gathered 21k cue points manually placed by human experts, and provide them in this dataset for future use.

To cite this dataset or for more information, please see [*Cue Point Estimation using Object Detection*](https://www.arxiv.org/abs/2407.06823).


## Dataset Structure

The dataset contains the following features:

* id: Track ID on Deezer.
* title: Track name.
* artists: Track artists.
* duration: Track duration in seconds.
* genre: List of genres (possibly incomplete).
* key: Alphanumeric key of the track generated by rekordbox (possibly incorrect).
* beat_grid: Contains 4 values to compute the grid. 'start_pos' is the starting position in seconds, 'init_beat' is the beat count of 'start_pos', 'bpm' is the beats per minute tempo, and 'time_sig' is the time signature in string format.
* cue_pts: Position of the cue point in seconds.