metadata
dataset_info:
features:
- name: caption_id
dtype: int64
- name: track_id
dtype: int64
- name: caption
dtype: string
- name: is_valid_subset
dtype: bool
- name: familiarity
dtype: int64
- name: artist_id
dtype: int64
- name: album_id
dtype: int64
- name: path
dtype:
audio:
decode: false
- name: duration
dtype: float64
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 3543021978
num_examples: 746
download_size: 2591774807
dataset_size: 3543021978
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
This is a mirror to the example dataset "The Song Describer Dataset: a Corpus of Audio Captions for Music-and-Language Evaluation" paper by Manco et al.
Project page on Github: https://github.com/mulab-mir/song-describer-dataset
Dataset on Zenodoo: https://zenodo.org/records/10072001
Explore the dataset on your local machine:
import datasets
from renumics import spotlight
ds = datasets.load_dataset('renumics/song-describer-dataset')
spotlight.show(ds)
