Update README.md

README.md

@@ -5,7 +5,7 @@ license: mit
 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.
 
 ## Evaluation result
-<img src="./segment_results.jpg">
+<img src="https://www.modelscope.cn/api/v1/models/ccmusic-database/song_structure/repo?Revision=master&FilePath=.%2Fsegment_results.jpg&View=true">
 
 ## Download
 ### By Git
@@ -20,6 +20,12 @@ from modelscope import snapshot_download
 model_dir = snapshot_download('ccmusic-database/song_structure')
 ```
 
+## Dataset
+<https://www.modelscope.cn/datasets/ccmusic-database/song_structure>
+
+## Mirror
+<https://www.modelscope.cn/models/ccmusic-database/song_structure>
+
 ## Cite
 ```bibtex
 @dataset{zhaorui_liu_2021_5676893,