Dataset Card for "esc50"

This is a mirror for the ESC-50 dataset. Original sources:

https://github.com/karolpiczak/ESC-50 K. J. Piczak. ESC: Dataset for Environmental Sound Classification. Proceedings of the 23rd Annual ACM Conference on Multimedia, Brisbane, Australia, 2015. [DOI: http://dx.doi.org/10.1145/2733373.2806390]

The dataset is available under the terms of the Creative Commons Attribution Non-Commercial license.

Exploring the dataset

You can visualize the dataset using Renumics Spotlight:

import datasets
from renumics import spotlight

ds = datasets.load_dataset('renumics/esc50', split='train')

spotlight.show(ds)

Explore enriched dataset

To fully understand the dataset, you can leverage model results such as embeddings or predictions.

Here is an example how to use zero-shot classification with MS CLAP for this purpose:

ds_results = datasets.load_dataset("renumics/esc50-clap2023-results",split='train')
ds = datasets.concatenate_datasets([ds, ds_results], axis=1)

spotlight.show(ds, dtype={'text_embedding': spotlight.Embedding, 'audio_embedding': spotlight.Embedding})