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The evaluation dataset of the AI composition recognition competition, CSMT2020

<p>The evaluation dataset contains 4000 MIDI files with exact configurations of development dataset with two exceptions: 1) A number of melodies composed by human composers are added, some of which are published, and some of which are composed for this competition. The music style of the human composed melodies are the same as the styles of music in the training set. This was confirmed by musicologists. 2) There are a number of melodies generated by algorithms with minor algorithmic or parameter changes compared to the algorithms in the development dataset.</p> <p>The development dataset:</p> <p><a href="https://zenodo.org/record/3944685#.Xza9DegzY2x">https://zenodo.org/record/3944685#.Xza9DegzY2x</a></p> <p>The website of the challenge:</p> <p><a href="http://www.csmcw-csmt.cn/data/2020/ai-composition-recognition2020/">http://www.csmcw-csmt.cn/data/2020/ai-composition-recognition2020</a>&nbsp;(Chinese instruction)</p> <p><a href="https://ai-composition-recognition2020.github.io/english.html">https://ai-composition-recognition2020.github.io/english.html</a>&nbsp;(English instruction)</p>

ShareScore

32/100

Overall dataset sharing score

Score breakdown

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

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
0
Engagement
4

Topics

Dataset details

Repository
zenodo
Published
August 14, 2020
License
cc-by-4.0
DOI
10.5281/zenodo.3985881

Scored with release 0.9.0

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