add cite

README.md

@@ -11,6 +11,7 @@ tags:
   - music
   - art
 ---
+
 # Intro
 Our evaluation methodology adopted the approach for structural segmentation evaluation outlined in the Harmonix set, which employed Structural Features for boundary identification, and 2D-Fourier Magnitude Coefficients (2D-FMC) for segment labeling based on acoustic similarity. CQT features serve as input features for the algorithm. The algorithm is implemented using Music Structure Analysis Framework (MSAF). For evaluation metrics, the F-measure is reported for the following metrics: Hit Rate with 0.5 and 3-second windows for boundary retrieval, Pairwise Frame Clustering and Entropy Scores for segment labeling. The evaluation is implemented using mir_eval.
 
@@ -33,4 +34,18 @@ cd song_structure
 <https://www.modelscope.cn/models/ccmusic-database/song_structure>
 
 ## Evaluation
-[![](https://www.modelscope.cn/models/ccmusic-database/song_structure/resolve/master/segment_results.jpg)](https://github.com/monetjoe/ccmusic_eval/tree/msa)
+[![](https://www.modelscope.cn/models/ccmusic-database/song_structure/resolve/master/segment_results.jpg)](https://github.com/monetjoe/ccmusic_eval/tree/msa)
+
+## Cite
+```bibtex
+@dataset{zhaorui_liu_2021_5676893,
+  author    = {Zhaorui Liu and Zijin Li},
+  title     = {Music Data Sharing Platform for Computational Musicology Research (CCMUSIC DATASET)},
+  month     = nov,
+  year      = 2021,
+  publisher = {Zenodo},
+  version   = {1.1},
+  doi       = {10.5281/zenodo.5676893},
+  url       = {https://doi.org/10.5281/zenodo.5676893}
+}
+```