metadata
dataset_info:
features:
- name: audio
dtype: audio
- name: username
dtype: string
- name: Processes
dtype: string
- name: PulseTypology
dtype: string
- name: Complexity
dtype: string
- name: Onset
dtype: string
- name: Offset
dtype: string
- name: Type
dtype: string
- name: MassType
dtype: string
- name: Direction
dtype: string
- name: description
dtype: string
splits:
- name: train
num_bytes: 1918141228
num_examples: 788
download_size: 1608587794
dataset_size: 1918141228
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: cc-by-4.0
task_categories:
- text-to-audio
- audio-classification
language:
- en
size_categories:
- n<1K
The SCHAEFFER dataset (Spectro-morphogical Corpus of Human-annotated Audio with Electroacoustic Features for Experimental Research), is a compilation of 788 raw audio data accompanied by human annotations and morphological acoustic features. The audio files adhere to the concept of Sound Objects introduced by Pierre Scaheffer, a framework for the analysis and creation of sound that focuses on its typological and morphological characteristics. Inside the dataset, the annotation are provided in the form of free text, while the labels are pre-chosen from a list of classes, making the sound description fit into a suitable framework for digital analysis. All the sounds within the dataset are under a "CC-By-4.0-attribution" license.