---
license: cc-by-4.0
dataset_info:
  features:
  - name: question-type
    dtype: string
  - name: description
    dtype: string
  - name: model-1
    dtype: string
  - name: track-1-id
    dtype: int64
  - name: track-1-begin
    dtype: string
  - name: track-1-end
    dtype: string
  - name: model-2
    dtype: string
  - name: track-2-id
    dtype: int64
  - name: track-2-begin
    dtype: string
  - name: track-2-end
    dtype: string
  - name: answer
    dtype: int64
  splits:
  - name: train
    num_bytes: 2396604
    num_examples: 15600
  download_size: 295100
  dataset_size: 2396604
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
tags:
- music
size_categories:
- 10K<n<100K
---

```
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 humans regarding the music quality and text-audio alignment of current music generation models.

For more information or to cite our work please see [Benchmarking Music Generation Models and Metrics via Human Preference Studies](https://openreview.net/forum?id=105yqGIpVW).