disco-eth/AIME
from datasets import load_dataset dataset = load_dataset('disco-eth/AIME') AIME: AI Music Evaluation Dataset The AIME dataset contains 6,000 audio tracks generated by 12 music generation models in addition to 500 tracks from MTG-Jamendo. The prompts used to generate music are combinations of representative and diverse tags from the MTG-Jamendo dataset. The AIME dataset consists of two subsets. The AIME audio dataset and the AIME survey dataset. The dataset contains the… See the full description on the dataset page: https://huggingface.co/datasets/disco-eth/AIME.
| Author / organization | disco-eth |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 1.4K (as reported by Hugging Face) |
| Likes | 9 |
| Created | 27 October 2024 |
| Last updated at source | 11 March 2025 |
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Recent changes
- 16 Oct 2026 Description: from datasets import load_dataset dataset = load_dataset('disco-eth/AIME') AIME: AI Music Evaluation Dataset The AIME dataset contains 6,000 audio tracks generated by 12 music generation models in addition to 500 tracks from MTG-Jamendo. Th → from datasets import load_dataset dataset = load_dataset('disco-eth/AIME') AIME: AI Music Evaluation Dataset The AIME dataset contains 6,000 audio tracks generated by 12 music generation models in addition to 500 tracks from MTG-Jamendo. Th
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