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Saraga: research datasets of Indian Art Music

<p><strong>Dataset introduction</strong></p> <p>This repository contains time aligned melody, rhythm, and structural annotations for two large open corpora of Indian Art Music (Carnatic and Hindustani music).</p> <p>The repository contains Carnatic and Hindustani collections in separated zip files, and each collection is organized by songs grouped by artist concerts/live performances. This organization follows the structure generated by downloading the data using the scripts available at the dataset Github repository: <a href="https://github.com/MTG/saraga">https://github.com/MTG/saraga</a>.</p> <p>Moreover, there is a part of the Carnatic collection, 168 tracks to be specific, that counts with multitrack audio files apart from the mix audio. The considered instruments are: Ghatam, Mridangam, Violin, Voice and Secondary Voice.</p> <p>&nbsp;</p> <p><strong>Annotations in the dataset</strong></p> <p>Section and tempo annotations stored as start and end timestamps together with the name of the section and tempo during the section (in a separate file). Sama annotations referring to rhythmic cycle boundaries stored as timestamps. Phrase annotations stored as timestamps and transcription of the phrases using solf&egrave;ge symbols ({S, r, R, g, G, m, M, P, d, D, n, N}). Audio features automatically extracted and stored: pitch and tonic.</p> <p>For more information about the dataset tracks and annotations, please refer to the Saraga website: <a href="https://mtg.github.io/saraga/">https://mtg.github.io/saraga/</a></p> <p>&nbsp;</p> <p><strong>Using this dataset</strong></p> <p>We are interested in knowing if you find our datasets useful! If you use our dataset please email us at <a href="mailto:mtg-info@upf.edu">mtg-info@upf.edu</a> and tell us about your research.</p> <p>*Please note that you can also use this dataset through the MIRDATA library (<a href="https://github.com/mir-dataset-loaders/mirdata">https://github.com/mir-dataset-loaders/mirdata</a>), where this dataset is in the list of available datasets.</p>

ShareScore

32/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
12
Reuse readiness
8
Engagement
4

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