| --- |
| license: cc-by-nc-4.0 |
| task_categories: |
| - audio-classification |
| language: |
| - en |
| - da |
| tags: |
| - music |
| pretty_name: Instrument_Classification |
| size_categories: |
| - n<1K |
| --- |
| |
| # Dataset Card for Dataset Name |
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| This dataset is a collection of audioclips used for training machinelearning models on instrument based sound classification. |
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| ## Dataset Details |
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| ### Dataset Description |
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| - **Curated by:** [AlfredVThor] |
| - **Funded by [AlfredVThor]:** [More Information Needed] |
| - **Shared by [AlfredVThor]:** [More Information Needed] |
| - **Language(s) (NLP):** [More Information Needed] |
| - **License:** [More Information Needed] |
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| ## Uses |
| This dataset can be used for training sound classification models on basic instruments |
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| ### Direct Use |
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| The Direct use of this dataset is to train a model on Sound Classification data based on instruments, using it to help those with Hearing Impairment identifying instruments. |
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| ### Out-of-Scope Use |
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| This dataset will not be usefull for anything other than sound based models |
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| ## Dataset Structure |
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| Clap |
| 89% / 11% (5m 10s / 38s) |
| Guitar |
| 75% / 25% (42s / 14s) |
| Kling |
| 80% / 20% (2m 0s / 30s) |
| Maracas |
| 75% / 25% (3m 31s / 1m 11s) |
| Noise |
| 90% / 10% (8m 54s / 1m 0s) |
| Snap |
| 83% / 17% (4m 21s / 52s) |
| Whistle |
| 85% / 15% (1m 51s / 19s) |
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| ## Dataset Creation |
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| ### Curation Rationale |
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| This dataset it aimed at training models to help people with impaired hearing identify instruments based on sound in a public space. |
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| ### Source Data |
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| .Wav audio files |
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| #### Data Collection and Processing |
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| Data was collected with a mobile microphone to best simulate the usecase for users. Data was cleaned as to minimally include high volume background noise. |
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| #### Who are the source data producers? |
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| The data was collected by students at Medialogy Masters at AAU copenhagen |
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| #### Annotation process |
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| The process included data cleaning, removing data that was unclear or duplicated. |
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| #### Who are the annotators? |
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| Student at Medialogy Masters AAU Copenhagen. |
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| #### Personal and Sensitive Information |
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| This dataset does not include private or sensitive data. |
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| ## Bias, Risks, and Limitations |
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| Cannot be used for anything non-soundbased, Additional data can be recomended for higher scale models. |
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| ### Recommendations |
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| Additional data can be recomended for higher scale models. |
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| **BibTeX:** |
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| @misc{key, |
| author = {AlfredVThor}, |
| title = {Instrument_Classification}, |
| howpublished = {\url{https://huggingface.co/datasets/Athorl22/MLME_Instrument_Classification/edit/main/README.md}}, |
| year = {2025}, |
| note = {[Accessed 05-12-2025]}, |
| } |
| |
| **APA:** |
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| Hugging Face – The AI community building the future. (n.d.). https://huggingface.co/datasets/Athorl22/MLME_Instrument_Classification/edit/main/README.md |
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| ## Dataset Card Contact |
| Github: AlfredVThor |
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