Shazam Research Dataset - Offsets (SRD-O)
Abstract/Contents
- Abstract
- This dataset contains Shazam query timings ('offsets') and query dates corresponding to 20 hit songs from the Billboard Year End Hot 100 2015 chart. Queries were aggregated from 1 January 2014 to 31 May 2016, inclusive. Number of queries per song range from 3,020,785 to 19,974,795, with a total of 188,271,243 queries across the 20 songs. Data are stored in .csv files (one file per song) ranging in size from 62.9MB to 416.1MB. The total size of the dataset is around 4GB.
Description
Type of resource | software, multimedia |
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Date created | 2016 |
Creators/Contributors
Author | Shazam Entertainment, Ltd. |
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Subjects
Subject | Music discovery |
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Subject | Shazam |
Subject | music information retrieval |
Subject | multimedia search |
Subject | social media |
Subject | popular music |
Subject | Center for Computer Research in Music and Acoustics |
Genre | Dataset |
Bibliographic information
Related Publication | Blair Kaneshiro, Feng Ruan, Casey W. Baker, and Jonathan Berger (2017). Characterizing Listener Engagement with Popular Songs Using Large-Scale Music Discovery Data. Frontiers in Psychology 8:146. doi:10.3389/fpsyg.2017.00416 |
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Related item | |
Location | https://purl.stanford.edu/fj396zz8014 |
Access conditions
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
- License
- This work is licensed under a Creative Commons Attribution Non Commercial No Derivatives 3.0 Unported license (CC BY-NC-ND).
Preferred citation
- Preferred Citation
- Shazam Entertainment, Ltd. (2016). Shazam Research Dataset - Offsets (SRD-O). Stanford Digital Repository. Available at: http://purl.stanford.edu/fj396zz8014
Collection
Stanford Research Data
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- Contact
- research@shazam.com
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