| --- |
| annotations_creators: |
| - unknown |
| language_creators: |
| - unknown |
| license: cc-by-sa-4.0 |
| size_categories: |
| - 100K<n<100M |
| source_datasets: |
| - unknown |
| task_categories: |
| - audio-classification |
| task_ids: [] |
| tags: |
| - audio-slot-filling |
| --- |
| |
| # Dataset Card for audioset2022 |
| ## Table of Contents |
| - [Dataset Description](#dataset-description) |
| - [Dataset Summary](#dataset-summary) |
| - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
| - [Languages](#languages) |
| - [Dataset Structure](#dataset-structure) |
| - [Data Instances](#data-instances) |
| - [Data Fields](#data-fields) |
| - [Data Splits](#data-splits) |
| - [Dataset Creation](#dataset-creation) |
| - [Curation Rationale](#curation-rationale) |
| - [Source Data](#source-data) |
| - [Annotations](#annotations) |
| - [Personal and Sensitive Information](#personal-and-sensitive-information) |
| - [Considerations for Using the Data](#considerations-for-using-the-data) |
| - [Social Impact of Dataset](#social-impact-of-dataset) |
| - [Discussion of Biases](#discussion-of-biases) |
| - [Other Known Limitations](#other-known-limitations) |
| - [Additional Information](#additional-information) |
| - [Dataset Curators](#dataset-curators) |
| - [Licensing Information](#licensing-information) |
| - [Citation Information](#citation-information) |
| - [Contributions](#contributions) |
|
|
| ## Dataset Description |
| - **Homepage:** [AudioSet Ontology](https://research.google.com/audioset/ontology/index.html) |
| - **Repository:** [Needs More Information] |
| - **Paper:** [Audio Set: An ontology and human-labeled dataset for audio events](https://research.google.com/pubs/pub45857.html) |
| - **Leaderboard:** [Paperswithcode Leaderboard](https://paperswithcode.com/dataset/audioset) |
|
|
| ### 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](https://creativecommons.org/licenses/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} |
| } |
| ``` |
|
|
