MahiA/UrbanSound8K
UrbanSound8K This is an audio classification dataset for Sound Event Classification. Classes = 10 , Split = Ten-Fold Structure audios folder contains audio files. csv_files folder contains CSV files for ten-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… See the full description on the dataset page: https://huggingface.co/datasets/MahiA/UrbanSound8K.
UrbanSound8K
This is an audio classification dataset for Sound Event Classification.
Classes = 10 , Split = Ten-Fold
Structure
audiosfolder contains audio files.csv_filesfolder contains CSV files for ten-fold cross-validation.- To perform cross-validation on fold 1,
train_1.csvwill be used for the training split andtest_1.csvfor the testing split, with the same pattern followed for the other folds. - To perform training and testing witout cross-validation, use
csv_files/train.csvandcsv_files/test.csvfiles 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/UrbanSound8K", repo_type="dataset", local_dir=os.path.join(audio_datasets_path, "UrbanSound8K"))Acknowledgment
This dataset is a slightly processed/restructured version of data originally released by Source.<br> Please refer to the respective source for their licensing details and any additional information.
Contact
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