title stringclasses 2
values | emotion stringclasses 7
values | token stringlengths 337 447 |
|---|---|---|
Nokia | original | N88V47D1.0.8 N86V47D1.0.8 N78V47D1.0.8 N80V47D1.0.8 N85V47D1.0.8 N83V47D1.0.8 N74V47D1.0.8 N76V47D1.0.8 N83V47D1.0.8 N81V47D1.0.8 N73V47D1.0.8 N76V47D1.0.8 N81V47D1.4.8 N88V47D1.0.8 N86V47D1.0.8 N78V47D1.0.8 N80V47D1.0.8 N85V47D1.0.8 N83V47D1.0.8 N74V47D1.0.8 N76V47D1.0.8 N83V47D1.0.8 N81V47D1.0.8 N73V47D1.0.8 N76V47D1.0.8 N81V47D1.4.8 |
Nokia | anger | N60V79D1.6.8 N58V79D1.6.8 N50V79D1.6.8 N52V79D1.6.8 N57V79D1.6.8 N55V79D1.6.8 N46V79D1.6.8 N48V79D1.6.8 N55V79D1.6.8 N53V79D1.6.8 N45V79D1.6.8 N48V79D1.6.8 N53V79D1.2.8 N60V79D1.6.8 N58V79D1.6.8 N50V79D1.6.8 N52V79D1.6.8 N57V79D1.6.8 N55V79D1.6.8 N46V79D1.6.8 N48V79D1.6.8 N55V79D1.6.8 N53V79D1.6.8 N45V79D1.6.8 N48V79D1.6.8 N53V79D1.2.8 |
Nokia | fear | N60V63D1.6.8 N58V63D1.6.8 N50V63D1.6.8 N52V63D1.6.8 N57V63D1.6.8 N55V63D1.6.8 N46V63D1.6.8 N48V63D1.6.8 N55V63D1.6.8 N53V63D1.6.8 N45V63D1.6.8 N48V63D1.6.8 N53V63D1.2.8 N60V63D1.6.8 N58V63D1.6.8 N50V63D1.6.8 N52V63D1.6.8 N57V63D1.6.8 N55V63D1.6.8 N46V63D1.6.8 N48V63D1.6.8 N55V63D1.6.8 N53V63D1.6.8 N45V63D1.6.8 N48V63D1.6.8 N53V63D1.2.8 |
Nokia | happiness | N65V63D1.6.8 N63V63D1.6.8 N55V63D1.6.8 N57V63D1.6.8 N62V63D1.6.8 N60V63D1.6.8 N51V63D1.6.8 N53V63D1.6.8 N60V63D1.6.8 N58V63D1.6.8 N50V63D1.6.8 N53V63D1.6.8 N58V63D1.2.8 N65V63D1.6.8 N63V63D1.6.8 N55V63D1.6.8 N57V63D1.6.8 N62V63D1.6.8 N60V63D1.6.8 N51V63D1.6.8 N53V63D1.6.8 N60V63D1.6.8 N58V63D1.6.8 N50V63D1.6.8 N53V63D1.6.8 N58V63D1.2.8 |
Nokia | sadness | N60V71D3.5.8 N58V71D3.5.8 N50V71D3.5.8 N52V71D3.5.8 N57V71D3.5.8 N55V71D3.5.8 N46V71D3.5.8 N48V71D3.5.8 N55V71D3.5.8 N53V71D3.5.8 N45V71D3.5.8 N48V71D3.5.8 N53V71D3.1.8 N60V71D3.5.8 N58V71D3.5.8 N50V71D3.5.8 N52V71D3.5.8 N57V71D3.5.8 N55V71D3.5.8 N46V71D3.5.8 N48V71D3.5.8 N55V71D3.5.8 N53V71D3.5.8 N45V71D3.5.8 N48V71D3.5.8 N53V71D3.1.8 |
Nokia | surprise | N68V79D1.6.8 N66V79D1.6.8 N58V79D1.6.8 N60V79D1.6.8 N65V79D1.6.8 N63V79D1.6.8 N54V79D1.6.8 N56V79D1.6.8 N63V79D1.6.8 N61V79D1.6.8 N53V79D1.6.8 N56V79D1.6.8 N61V79D1.2.8 N68V79D1.6.8 N66V79D1.6.8 N58V79D1.6.8 N60V79D1.6.8 N65V79D1.6.8 N63V79D1.6.8 N54V79D1.6.8 N56V79D1.6.8 N63V79D1.6.8 N61V79D1.6.8 N53V79D1.6.8 N56V79D1.6.8 N61V79D1.2.8 |
Nokia | tenderness | N65V71D3.3.8 N63V71D3.3.8 N55V71D3.3.8 N57V71D3.3.8 N62V71D3.3.8 N60V71D3.3.8 N51V71D3.3.8 N53V71D3.3.8 N60V71D3.3.8 N58V71D3.3.8 N50V71D3.3.8 N53V71D3.3.8 N58V71D3.7.8 N65V71D3.3.8 N63V71D3.3.8 N55V71D3.3.8 N57V71D3.3.8 N62V71D3.3.8 N60V71D3.3.8 N51V71D3.3.8 N53V71D3.3.8 N60V71D3.3.8 N58V71D3.3.8 N50V71D3.3.8 N53V71D3.3.8 N58V71D3.7.8 |
Two Tigers | original | N60V103D1.0.8 N62V103D1.0.8 N64V103D1.0.8 N60V103D1.0.8 N60V103D1.0.8 N62V103D1.0.8 N64V103D1.0.8 N60V103D1.0.8 N64V103D1.0.8 N65V103D1.0.8 N67V103D2.0.8 N64V103D1.0.8 N65V103D1.0.8 N67V103D2.0.8 N67V103D0.4.8 N69V103D0.4.8 N67V103D0.4.8 N65V103D0.4.8 N64V103D1.0.8 N60V103D1.0.8 N67V103D0.4.8 N69V103D0.4.8 N67V103D0.4.8 N65V103D0.4.8 N64V103D1.0.8 N60V103D1.0.8 N64V103D1.0.8 N55V103D1.0.8 N60V103D2.0.8 N64V103D1.0.8 N55V103D1.0.8 N60V103D2.0.8 |
Two Tigers | anger | N49V79D1.6.8 N51V79D1.6.8 N53V79D1.6.8 N49V79D1.6.8 N49V79D1.6.8 N51V79D1.6.8 N53V79D1.6.8 N49V79D1.6.8 N53V79D1.6.8 N54V79D1.6.8 N56V79D1.6.8 N53V79D1.6.8 N54V79D1.6.8 N56V79D1.6.8 N56V79D1.2.8 N58V79D1.2.8 N56V79D1.2.8 N54V79D1.2.8 N53V79D1.6.8 N49V79D1.6.8 N56V79D1.2.8 N58V79D1.2.8 N56V79D1.2.8 N54V79D1.2.8 N53V79D1.6.8 N49V79D1.6.8 N53V79D1.6.8 N44V79D1.6.8 N49V79D1.6.8 N53V79D1.6.8 N44V79D1.6.8 N49V79D1.6.8 |
Two Tigers | fear | N49V63D1.6.8 N51V63D1.6.8 N53V63D1.6.8 N49V63D1.6.8 N49V63D1.6.8 N51V63D1.6.8 N53V63D1.6.8 N49V63D1.6.8 N53V63D1.6.8 N54V63D1.6.8 N56V63D1.6.8 N53V63D1.6.8 N54V63D1.6.8 N56V63D1.6.8 N56V63D1.2.8 N58V63D1.2.8 N56V63D1.2.8 N54V63D1.2.8 N53V63D1.6.8 N49V63D1.6.8 N56V63D1.2.8 N58V63D1.2.8 N56V63D1.2.8 N54V63D1.2.8 N53V63D1.6.8 N49V63D1.6.8 N53V63D1.6.8 N44V63D1.6.8 N49V63D1.6.8 N53V63D1.6.8 N44V63D1.6.8 N49V63D1.6.8 |
Two Tigers | happiness | N54V63D1.6.8 N56V63D1.6.8 N58V63D1.6.8 N54V63D1.6.8 N54V63D1.6.8 N56V63D1.6.8 N58V63D1.6.8 N54V63D1.6.8 N58V63D1.6.8 N59V63D1.6.8 N61V63D1.6.8 N58V63D1.6.8 N59V63D1.6.8 N61V63D1.6.8 N61V63D1.2.8 N63V63D1.2.8 N61V63D1.2.8 N59V63D1.2.8 N58V63D1.6.8 N54V63D1.6.8 N61V63D1.2.8 N63V63D1.2.8 N61V63D1.2.8 N59V63D1.2.8 N58V63D1.6.8 N54V63D1.6.8 N58V63D1.6.8 N49V63D1.6.8 N54V63D1.6.8 N58V63D1.6.8 N49V63D1.6.8 N54V63D1.6.8 |
Two Tigers | sadness | N49V71D3.5.8 N51V71D3.5.8 N53V71D3.5.8 N49V71D3.5.8 N49V71D3.5.8 N51V71D3.5.8 N53V71D3.5.8 N49V71D3.5.8 N53V71D3.5.8 N54V71D3.5.8 N56V71D3.5.8 N53V71D3.5.8 N54V71D3.5.8 N56V71D3.5.8 N56V71D3.1.8 N58V71D3.1.8 N56V71D3.1.8 N54V71D3.1.8 N53V71D3.5.8 N49V71D3.5.8 N56V71D3.1.8 N58V71D3.1.8 N56V71D3.1.8 N54V71D3.1.8 N53V71D3.5.8 N49V71D3.5.8 N53V71D3.5.8 N44V71D3.5.8 N49V71D3.5.8 N53V71D3.5.8 N44V71D3.5.8 N49V71D3.5.8 |
Two Tigers | surprise | N57V79D1.6.8 N59V79D1.6.8 N61V79D1.6.8 N57V79D1.6.8 N57V79D1.6.8 N59V79D1.6.8 N61V79D1.6.8 N57V79D1.6.8 N61V79D1.6.8 N62V79D1.6.8 N64V79D1.6.8 N61V79D1.6.8 N62V79D1.6.8 N64V79D1.6.8 N64V79D1.2.8 N66V79D1.2.8 N64V79D1.2.8 N62V79D1.2.8 N61V79D1.6.8 N57V79D1.6.8 N64V79D1.2.8 N66V79D1.2.8 N64V79D1.2.8 N62V79D1.2.8 N61V79D1.6.8 N57V79D1.6.8 N61V79D1.6.8 N52V79D1.6.8 N57V79D1.6.8 N61V79D1.6.8 N52V79D1.6.8 N57V79D1.6.8 |
Two Tigers | tenderness | N54V71D3.3.8 N56V71D3.3.8 N58V71D3.3.8 N54V71D3.3.8 N54V71D3.3.8 N56V71D3.3.8 N58V71D3.3.8 N54V71D3.3.8 N58V71D3.3.8 N59V71D3.3.8 N61V71D3.3.8 N58V71D3.3.8 N59V71D3.3.8 N61V71D3.3.8 N61V71D3.7.8 N63V71D3.7.8 N61V71D3.7.8 N59V71D3.7.8 N58V71D3.3.8 N54V71D3.3.8 N61V71D3.7.8 N63V71D3.7.8 N61V71D3.7.8 N59V71D3.7.8 N58V71D3.3.8 N54V71D3.3.8 N58V71D3.3.8 N49V71D3.3.8 N54V71D3.3.8 N58V71D3.3.8 N49V71D3.3.8 N54V71D3.3.8 |
Emotional Music MIDI Samples
This dataset provides test samples of emotional music generated from original MIDI files. The generative algorithm can be found in the following research paper. This algorithm is able to generate six emotions (anger, fear, happiness, sadness, surprise, and tenderness) at a time.
Citation
If you use this dataset, please cite:
Pinyan Li and Lap Man Hoi and Yapeng Wang and Xu Yang and Yuqi Sun (2026). Transforming melodies into natural language lyrics and emotional music by tuning pitch, volume, and rhythm. Neural Networks, Elsevier , X(X), pp. xxx--xxx.
Contact
Edmond Hoi
lmhoi@mpu.edu.mo
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