---
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.