metadata

license: mit

ESC50-Actions

This is an audio classification dataset for Environmental Sound Classification.

Classes = 10 , Split = Five-Fold

Structure

audios folder contains audio files.
csv_files folder contains CSV files for five-fold cross-validation.
To perform cross-validation on fold 1, train_1.csv will be used for the training split and test_1.csv for the testing split, with the same pattern followed for the other folds.
To perform training and testing witout cross-validation, use csv_files/train.csv and csv_files/test.csv files respectively.

Download

import os
import huggingface_hub
audio_datasets_path = "DATASET_PATH/Audio-Datasets"
if not os.path.exists(audio_datasets_path): print(f"Given {audio_datasets_path=} does not exist. Specify a valid path ending with 'Audio-Datasets' folder.")
huggingface_hub.snapshot_download(repo_id="MahiA/ESC50-Actions", repo_type="dataset", local_dir=os.path.join(audio_datasets_path, "ESC50-Actions"))

Acknowledgment

This dataset is a slightly processed/restructured version of data originally released by Source.
Please refer to the respective source for their licensing details and any additional information.

Contact

For questions or feedback, please create an issue.