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---
license: mit
---
# ESC50
This is an audio classification dataset for **Environmental Sound Classification**.
**Classes = 50 , Split = Train-Test**
## Structure
- `audios` folder contains audio files.
- `csv_files` folder contains CSV files for **five-fold** cross-validation.
- To perform cross-validation on fold 1, `train_1.csv` will be used for the training split and `test_1.csv` for the testing split, with the same pattern followed for the other folds.
- To perform training and testing **witout cross-validation**, use `csv_files/train.csv` and `csv_files/test.csv` files respectively.
## Download
```python
import os
import huggingface_hub
audio_datasets_path = "DATASET_PATH/Audio-Datasets"
if not os.path.exists(audio_datasets_path): print(f"Given {audio_datasets_path=} does not exist. Specify a valid path ending with 'Audio-Datasets' folder.")
huggingface_hub.snapshot_download(repo_id="MahiA/ESC50", repo_type="dataset", local_dir=os.path.join(audio_datasets_path, "ESC50"))
```
## Acknowledgment
This dataset is a slightly processed/restructured version of data originally released by [Source](https://github.com/karolpiczak/ESC-50).<br>
Please refer to the respective source for their licensing details and any additional information.
## Contact
For questions or feedback, please create an issue. |