update

README.md

@@ -1,7 +1,12 @@
 ---
 license: cc-by-nc-4.0
+language:
+- en
+tags:
+- music
+size_categories:
+- 10K<n<100K
 ---
-
 # Music Grounding by Short Video E-commerce (MGSV-EC) Dataset
 
 📄 [[Paper]](https://arxiv.org/abs/2408.16990v2)
@@ -17,7 +22,6 @@ The dataset contains **53,194 short e-commerce videos** paired with **35,393 mus
 - **Single-music Grounding (SmG)**: the relevant music track is known, and the task is to detect the correct segment.
 - **Music-set Grounding (MsG)**: the model must retrieve the correct music track and its corresponding segment.
 
-
 ## 📐 Evaluation Protocol
 
 | Mode           | Sub-task               | Metric                                              |
@@ -27,7 +31,6 @@ The dataset contains **53,194 short e-commerce videos** paired with **35,393 mus
 | *Music-set*    | Grounding (MsG)     | MoR$k$ |
 
 ---
-
 ## 📊 Dataset Statistics
 
 | **Split**   | **#Music Tracks** | *Avg. Music Duration(sec)* | #Query Videos | *Avg. Video Duration(sec)* | **#Moments** |
@@ -64,7 +67,6 @@ Each row in the CSV file represents a query video paired with a music track and
 | video_category	| Category label of the video content (e.g., "美妆", "美食"). |
 
 
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 ## 🧩 Feature Directory Structure
 
 For each video-music pair, we provide pre-extracted visual and audio features for efficient training in [MGSV_feature.zip](./MGSV_feature.zip). The features are stored in the following directory structure:
@@ -92,7 +94,6 @@ Note:
   - music_frozen_feature_path: `[Your data feature path]/ast_feature2p5`
 
 ---
-
 ## 📖 Citation
 
 If you use this dataset in your research, please cite: