Update README.md

README.md

@@ -10,98 +10,121 @@ size_categories:
 - 1B<n<10B
 ---
 
-**NOTICE[Important！！！！]: We release the official version of [SingMOS-Pro](https://huggingface.co/datasets/TangRain/SingMOS-Pro).**
+# SingMOS-Pro 🎵
+**[Important Notice]**  
+We have officially released the **[SingMOS-Pro dataset](https://huggingface.co/datasets/TangRain/SingMOS-Pro)**.
 
+---
 
--------------------- Previous Information -----------------------
-
+## 🔍 Related Resources
+- **Paper:** [*SingMOS-Pro: A Comprehensive Benchmark for Singing Quality Assessment*](https://arxiv.org/abs/2510.01812)  
+- **Earlier Dataset (VoiceMOS 2024 Track):** [SingMOS_v1](https://huggingface.co/datasets/TangRain/SingMOS_v1)  
+- **Pretrained Model:** [Singing MOS Predictor](https://github.com/South-Twilight/SingMOS/tree/main)
 
-paper link: [SingMOS-Pro: An Comprehensive Benchmark for Singing Quality Assessment](https://arxiv.org/abs/2510.01812)
+---
 
-If you want to use the dataset of **the singing track in VoiceMOS 2024**, you can visit **[SingMOS_v1](https://huggingface.co/datasets/TangRain/SingMOS_v1).**
+## 📘 Overview
+**SingMOS-Pro** contains **7,981** Chinese and Japanese singing clips, totaling **11.15 hours** of audio.  
+The recordings are mainly at **16 kHz**, with some at **24 kHz** and **44.1 kHz**.
 
-If you want to use our **pretrained SingMOS model**, you can visit our repo at [Singing MOS Predictor](https://github.com/South-Twilight/SingMOS/tree/main).
+To use the dataset properly, please refer to the following files:
+- `split.json` — dataset split information (train/test)  
+- `score.json` — system- and utterance-level MOS scores  
+- `sys_info.json` — metadata for each system  
 
+---
 
-# Overview
-**SingMOS-Pro** includes 7,981 Chinese and Japanese vocal clips, totaling 11.15 hours in duration. 
+## 📂 Dataset Structure
+```
 
-It covers samples mainly in 16 kHz and a little in 24kHz and 44.1kHz. 
+SingMOS-Pro
+├── wavs
+│   ├── sys0001-utt0001.wav
+│   ├── ...
+├── info
+│   ├── split.json
+│   ├── score.json
+│   ├── sys_info.json
+└── metadata.csv
 
+````
 
-**To utilize SingMOS, you should use `split.json` and `score.json`. If you want to know more information, `sys_info.json` will give you the answer.**
-# SingMOS arichitecture 
-```
-|---SingMOS-Pro
-    |---wavs
-        |---sys0001-utt0001.wav
-        ...
-    |---info
-        |---split.json
-        |---score.json
-        |---sys_info.json
-    |---metadata.csv
-```
-Structure of `split.json`:
+### Structure of `split.json`
 ```json
 {
-    dataset_name: {
-        "train": list for train set.,
-        "test": list for test set.,
+    "dataset_name": {
+        "train": [...],
+        "test": [...]
     }
 }
-```
-Structure of `score.json`:
+````
+
+### Structure of `score.json`
+
 ```json
 {
-    "system": { 
+    "system": {
         "sys_id": {
-            "score": score of system.,
-            "ci": CI of score.,
+            "score": float,
+            "ci": float
         }
-        ...
     },
     "utterance": {
         "utt_id": {
-            "sys_id": system id.,
-            "wav": wav path.,
+            "sys_id": str,
+            "wav": str,
             "score": {
-                "mos": mos for utterance.,
-                "scores": list for judge scores.,
-                "judges": list for judge id.,
+                "mos": float,
+                "scores": [float],
+                "judges": [str]
             }
-        },
-        ...
+        }
     }
 }
 ```
-Structure of `sys_info.json`:
+
+### Structure of `sys_info.json`
+
 ```json
 {
     "sys_id": {
-        "type": system type including "svs" and "svc" "svc" "gt".,
-        "dataset": original dataset.
-        "model": generated model.
-        "sample_rate": sample rate.
+        "type": "svs" | "svc" | "gt",
+        "dataset": str,
+        "model": str,
+        "sample_rate": int,
         "tag": {
-            "domain_id": batch of annotations,
-            "other_info": more information for system, including speaker transfer information for svc, number of codebook for codec, and so on. The "default" means no additional information to be supplemented.
+            "domain_id": str,
+            "other_info": str
         }
     }
 }
 ```
-# updata infomation:
-*[2024.11.06]* We release **SingMOS**.
-*[2024.06.26]*  We release **SingMOS_v1**.
-# Citation:
-```
+
+> **Note:** `"default"` in `"other_info"` means no additional information is provided.
+
+---
+
+## 🆕 Update Log
+
+* **[2025-10-09]** Released **SingMOS-Pro**
+* **[2024-11-06]** Released **SingMOS**
+* **[2024-06-26]** Released **SingMOS_v1**
+
+---
+
+## 📖 Citation
+
+If you use this dataset, please cite our paper:
+
+```bibtex
 @misc{tang2025singmosprocomprehensivebenchmarksinging,
-      title={SingMOS-Pro: An Comprehensive Benchmark for Singing Quality Assessment}, 
+      title={SingMOS-Pro: A Comprehensive Benchmark for Singing Quality Assessment},
       author={Yuxun Tang and Lan Liu and Wenhao Feng and Yiwen Zhao and Jionghao Han and Yifeng Yu and Jiatong Shi and Qin Jin},
       year={2025},
       eprint={2510.01812},
       archivePrefix={arXiv},
       primaryClass={cs.SD},
-      url={https://arxiv.org/abs/2510.01812}, 
+      url={https://arxiv.org/abs/2510.01812}
 }
-```
+```
+