Dataset Preview
The dataset preview is not available for this dataset.
Server Error
Status code:   400
Exception:     FileNotFoundError
Message:       Couldn't find a dataset script at /src/services/worker/Fhrozen/AudioSet2K22/AudioSet2K22.py or any data file in the same directory. Couldn't find 'Fhrozen/AudioSet2K22' on the Hugging Face Hub either: FileNotFoundError: Unable to resolve any data file that matches ['**'] in dataset repository Fhrozen/AudioSet2K22 with any supported extension ['csv', 'tsv', 'json', 'jsonl', 'parquet', 'txt', 'blp', 'bmp', 'dib', 'bufr', 'cur', 'pcx', 'dcx', 'dds', 'ps', 'eps', 'fit', 'fits', 'fli', 'flc', 'ftc', 'ftu', 'gbr', 'gif', 'grib', 'h5', 'hdf', 'png', 'apng', 'jp2', 'j2k', 'jpc', 'jpf', 'jpx', 'j2c', 'icns', 'ico', 'im', 'iim', 'tif', 'tiff', 'jfif', 'jpe', 'jpg', 'jpeg', 'mpg', 'mpeg', 'msp', 'pcd', 'pxr', 'pbm', 'pgm', 'ppm', 'pnm', 'psd', 'bw', 'rgb', 'rgba', 'sgi', 'ras', 'tga', 'icb', 'vda', 'vst', 'webp', 'wmf', 'emf', 'xbm', 'xpm', 'zip']

Need help to make the dataset viewer work? Open an issue for direct support.

Dataset Card for audioset2022

Dataset Summary

The AudioSet ontology is a collection of sound events organized in a hierarchy. The ontology covers a wide range of everyday sounds, from human and animal sounds, to natural and environmental sounds, to musical and miscellaneous sounds.

This repository only includes audio files for DCASE 2022 - Task 3

The included labels are limited to:

  • Female speech, woman speaking
  • Male speech, man speaking
  • Clapping
  • Telephone
  • Telephone bell ringing
  • Ringtone
  • Laughter
  • Domestic sounds, home sounds
  • Vacuum cleaner
  • Kettle whistle
  • Mechanical fan
  • Walk, footsteps
  • Door
  • Cupboard open or close
  • Music
  • Background music
  • Pop music
  • Musical instrument
  • Acoustic guitar
  • Marimba, xylophone
  • Cowbell
  • Piano
  • Electric piano
  • Rattle (instrument)
  • Water tap, faucet
  • Bell
  • Bicycle bell
  • Chime
  • Knock

Supported Tasks and Leaderboards

  • audio-classification: The dataset can be used to train a model for Sound Event Detection/Localization.

The recordings only includes the single channel audio. For Localization tasks, it will required to apply RIR information

Languages

None

Dataset Structure

Data Instances

WIP

{
    'file': 

}

Data Fields

  • file: A path to the downloaded audio file in .mp3 format.

Data Splits

This dataset only includes audio file from the unbalance train list. The data comprises two splits: weak labels and strong labels.

Dataset Creation

Curation Rationale

[Needs More Information]

Source Data

Initial Data Collection and Normalization

[Needs More Information]

Who are the source language producers?

[Needs More Information]

Annotations

Annotation process

[Needs More Information]

Who are the annotators?

[Needs More Information]

Personal and Sensitive Information

[Needs More Information]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[Needs More Information]

Additional Information

Dataset Curators

The dataset was initially downloaded by Nelson Yalta (nelson.yalta@ieee.org).

Licensing Information

CC BY-SA 4.0

Citation Information

@inproceedings{45857,
title    = {Audio Set: An ontology and human-labeled dataset for audio events},
author    = {Jort F. Gemmeke and Daniel P. W. Ellis and Dylan Freedman and Aren Jansen and Wade Lawrence and R. Channing Moore and Manoj Plakal and Marvin Ritter},
year    = {2017},
booktitle    = {Proc. IEEE ICASSP 2017},
address    = {New Orleans, LA}
}
Edit dataset card
Evaluate models HF Leaderboard