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> (Chinese instruction)</p> <p><a href="https://ai-composition-recognition2020.github.io/english.html">https://ai-composition-recognition2020.github.io/english.html</a> (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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