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Irish Traditional Tune
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Dataset Card for "irish-tunes-spectrograms"

1. Dataset Description

Dataset is used for the following project

1.1 Dataset Summary

This dataset contains mel spectrograms that represent traditional Irish tunes. Each spectrogram image is of the 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": "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 "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: "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

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