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README.md
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data_files:
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- split: gtzan_bind_v1
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path: data/gtzan_bind_v1-*
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splits:
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- name: gtzan_bind_v1
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num_bytes: 1505501
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num_examples: 1000
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download_size: 743107
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dataset_size: 1505501
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---
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# Dataset Card for "gtzan-bind"
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data_files:
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- split: gtzan_bind_v1
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path: data/gtzan_bind_v1-*
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license: mit
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language:
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- en
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tags:
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- music
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- gtzan
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pretty_name: gtzan-bind
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size_categories:
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- n<1K
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---
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# Dataset Card for "gtzan-bind"
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- **Repository:** [GTZAN-Bind repository](https://github.com/seungheondoh/gtzan-bind)
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[Imgur](https://imgur.com/4Oa5XJj)
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## Dataset Summary
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📚🎵 Introducing **GTZAN-Bind** a consolidated dataset encompassing diverse gtzan annotations.
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My contribution involved an additional layer of fingerprinting to enhance its comprehensiveness
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## Annotations
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#### audio info
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- [Tzanetakis2002musical](https://ieeexplore.ieee.org/document/1021072),
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- [audio source](https://www.kaggle.com/datasets/andradaolteanu/gtzan-dataset-music-genre-classification)
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#### Split info
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- [sturm2013faults](https://github.com/coreyker/dnn-mgr/tree/master/gtzan)
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#### Metadata
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- [sturm2013faults](https://github.com/coreyker/dnn-mgr/tree/master/gtzan)
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- [doh2023fingerprint](https://github.com/seungheondoh/gtzan-bind/tree/main/dataset/metadata/doh2023fingerprint/results)
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#### Caption
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- [denk2023brain2music](https://www.kaggle.com/datasets/nishimotolab/music-caption-brain2music)
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#### Key
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- [kraft_lerch2013tonalness](https://github.com/alexanderlerch/gtzan_key)
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- [tom2011genre](http://visal.cs.cityu.edu.hk/downloads/#gtzankeys)
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#### Rhythm
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- [marchand2015swing](http://anasynth.ircam.fr/home/system/files/attachment_uploads/marchand/private/GTZAN-Rhythm_v2_ismir2015_lbd_2015-10-28.tar_.gz)
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- [quinton2015extraction](http://www.isophonics.net/content/metrical-structure-annotations-gtzan-dataset)
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## Contact
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