size_categories:1K<n<10K format:parquet modality:audio library:datasets library:dask library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: audio
    dtype: audio
  - name: label
    dtype:
      class_label:
        names:
          '0': Sound_Drum
          '1': Sound_Guitar
          '2': Sound_Piano
          '3': Sound_Violin
  splits:
  - name: train
    num_bytes: 2657140325.149
    num_examples: 2103
  - name: validation
    num_bytes: 965544799.0
    num_examples: 526
  - name: test
    num_bytes: 224704818.0
    num_examples: 80
  download_size: 4268840821
  dataset_size: 3847389942.149
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
---
This is a processed dataset from this [Kaggle dataset](https://www.kaggle.com/datasets/soumendraprasad/musical-instruments-sound-dataset/).

I've processed to hugging face format, added a validation split and, also fixed a couple of wrong labels that were present on the original dataset.