---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 3322131399.86
    num_examples: 9604
  download_size: 3282715107
  dataset_size: 3322131399.86
license: mit
task_categories:
- text-to-image
- text-to-audio
language:
- en
tags:
- music
pretty_name: Mel-Spectrograms for Irish Traditional Music
size_categories:
- 1K<n<10K
---
# Dataset Card for "irish-traditional-tunes"

[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
# Dataset Card for "irish-tunes-spectrograms"

## 1. Dataset Description
  Dataset is used for the following project
- **Homepage:** [Trad-fusion](https://github.com/hdparmar/Tradi-fusion)

### 1.1 Dataset Summary
This dataset contains 9604 Mel spectrograms that represent Traditional Irish Music. 
This dataset is smaller compared to [hdparmar/irish-tunes-spectrogram](https://huggingface.co/datasets/hdparmar/irish-tunes-spectrograms), to reduce the training time and increase the possibilty to train for longer steps/batch.
Each spectrogram image is a 5 second split of audio resulting in dimensions 512x512 and includes 3 channels (mimicking, RGB) because most of the text-to-image models are trained on 3 channels. 

Although, I can find publications which says that having 3 channels for Mel Spectrogram can improve generalisation, since the other 2 channel are just the copy of first.
The simple trick I used is to use cv2 to convert a grayscale into RGB, since most of the models are trained on 3 channels.

The primary objective of this dataset is to serve as an abundant resource for those venturing into the fields of music analysis, machine learning, and artificial intelligence.

### 1.2 Languages
The dataset's metadata and documentation are all in English, ensuring accessibility and comprehension.

## 2. Dataset Structure

### 2.1 Data Instances
Each data instance in this dataset is composed of two main elements: an image and a text caption. 
The image is a mel spectrogram that reflects a snippet of a traditional Irish tune. Accompanying it is a text field that serves as its caption.

#### Example:
The metadata.csv file the dataset is in this format
```
{"file_name": "path/to/the/image.png", 
 "text": "An Irish Traditional Tune"}
```
### 2.2 Data Fields
- **file_name**: This is the field that contains the path leading to the image file. It's the specific location where you can find each piece of the dataset.
- **text**: This is the caption accompanying each image. For the sake of uniformity and ease, the caption for every image is "An Irish Traditional Tune."

### 2.3 Data Splits
As of the current version, the dataset consists solely of a training split. Additional data splits like validation or testing may be introduced in future iterations of the dataset.

### 2.4 Uniform Captions: A Special Note
All the spectrograms in this dataset come labeled with a uniform caption: "An Irish Traditional Tune." 

This consistency can be perhaps advantageous, especially in text-to-image tasks that focus primarily on image-based features, with the caption acting as a generalized label.

## NOTE
Furthur imformation to follow and same caption for all the mel-spectrograms are for ease of work put into producing the dataset