---
title: AIME-survey
canonical_url: "https://www.modelscope.cn/datasets/disco-eth/AIME-survey"
md_url: "https://www.modelscope.cn/datasets/disco-eth/AIME-survey.md"
repository: disco-eth/AIME-survey
last_updated: 2025-05-21
license: "Apache License 2.0"
storage_size: "295 KB"
downloads: 613
stars: 0
---

# AIME-survey

> AIME-survey - disco-eth 在 ModelScope 开源的数据集。AIME Survey: AI Music Evaluation Dataset

disco-eth/AIME-survey 是 ModelScope 魔搭社区上的数据集，存储大小 295 KB，采用 Apache License 2.0 许可。

- **Repository**: disco-eth/AIME-survey
- **License**: Apache License 2.0
- **Storage size**: 295 KB
- **Downloads**: 613
- **Stars**: 0
- **Last updated**: 2025-05-21

Source: https://www.modelscope.cn/datasets/disco-eth/AIME-survey

---

```
from datasets import load_dataset
dataset = load_dataset('disco-eth/AIME-survey')
```

# AIME Survey: AI Music Evaluation Dataset

This survey dataset accompanies the [AIME audio dataset](https://huggingface.co/datasets/disco-eth/AIME).

The AIME Survey dataset consists of 15,600 pairwise audio comparisons rated by more than 2,500 human participants regarding the music quality and text-audio alignment of 12 state-of-the-art music generation models (as of July 2024). The comparisons were made between 10 second snippets of the audio tracks.

The dataset contains the following fields:

- **question-type**: The type of question for the evaluation of the two audio tracks. This can be either 'Text-Audio Alignment' or 'Music Quality'
- **description**: The tag-based music description that was used to generate the tracks.
- **model-1**: The music generation model that generated track-1.
- **track-1-id**: The id for track-1. This corresponds to the id's in the AIME audio dataset.
- **track-1-begin**: The timestamp for the begin of the audio snippet from track-1.
- **track-1-end**: The timestamp for the end of the audio snippet from track-1.
- **model-2**: The music generation model that generated track-2.
- **track-2-id**: The id for track-2. This corresponds to the id's in the AIME audio dataset.
- **track-2-begin**: The timestamp for the begin of the audio snippet from track-2.
- **track-2-end**: The timestamp for the end of the audio snippet from track-2.
- **answer**: Whether the participant preferred the audio snippet from track-1 (answer=1) or track-2 (answer=2).

For more information or to cite our work please see [Benchmarking Music Generation Models and Metrics via Human Preference Studies](https://ieeexplore.ieee.org/abstract/document/10887745).