README.md

---
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