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---
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
This dataset is a collection of audioclips used for training machinelearning models on instrument based sound classification.
## Dataset Details
### Dataset Description
- **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]
## Uses
This dataset can be used for training sound classification models on basic instruments
### Direct Use
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.
### Out-of-Scope Use
This dataset will not be usefull for anything other than sound based models
## Dataset Structure
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)
## Dataset Creation
### Curation Rationale
This dataset it aimed at training models to help people with impaired hearing identify instruments based on sound in a public space.
### Source Data
.Wav audio files
#### Data Collection and Processing
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.
#### Who are the source data producers?
The data was collected by students at Medialogy Masters at AAU copenhagen
#### Annotation process
The process included data cleaning, removing data that was unclear or duplicated.
#### Who are the annotators?
Student at Medialogy Masters AAU Copenhagen.
#### Personal and Sensitive Information
This dataset does not include private or sensitive data.
## Bias, Risks, and Limitations
Cannot be used for anything non-soundbased, Additional data can be recomended for higher scale models.
### Recommendations
Additional data can be recomended for higher scale models.
**BibTeX:**
PROBLEMS ENCOUNTERED!! TRY APA!!
@misc{huggingfaceAthorl22MLME_Instrument_ClassificationMain,
author = {Athorl22},
title = {{A}thorl22/{M}{L}{M}{E}\_{I}nstrument\_{C}lassification at main --- huggingface.co},
howpublished = {\url{https://huggingface.co/datasets/Athorl22/MLME_Instrument_Classification/tree/main}},
year = {2025},
note = {[Accessed 04-12-2025]},
}
**APA:**
WORKS!!!
Athorl22/MLME_Instrument_Classification at main. (n.d.). https://huggingface.co/datasets/Athorl22/MLME_Instrument_Classification/tree/main
## Dataset Card Contact
Github: AlfredVThor