Update README.md

README.md

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-# SingMOS-Pro 🎵
-**[Important Notice]**  
-We have officially released the **[SingMOS-Pro dataset](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)** — the official benchmark for singing voice quality assessment.
 
 ---
 
-## 🔍 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)
+## 📚 Related Resources
+
+- 🧾 **Paper:** [*SingMOS-Pro: A Comprehensive Benchmark for Singing Quality Assessment*](https://arxiv.org/abs/2510.01812)  
+  &nbsp;&nbsp;→ Describes dataset design, annotation methodology, and experiments.
+
+- 🎶 **VoiceMOS 2024 Singing Track:** [SingMOS_v1](https://huggingface.co/datasets/TangRain/SingMOS_v1)  
+  &nbsp;&nbsp;→ For reproducing or comparing with the official VoiceMOS 2024 track.
+
+- 🤖 **Pretrained Model:** [Singing MOS Predictor](https://github.com/South-Twilight/SingMOS/tree/main)  
+  &nbsp;&nbsp;→ Ready-to-use MOS prediction models trained on SingMOS and SingMOS-Pro.
 
 ---
 
-## 📘 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**.
+## 🧩 Overview
+
+**SingMOS-Pro** contains **7,981** Chinese and Japanese vocal clips, totaling **11.15 hours** of singing recordings.  
+Most samples are recorded at **16 kHz**, with a few at **24 kHz** or **44.1 kHz**.
+
+This dataset enables large-scale research on **singing quality assessment** for tasks such as  
+- Singing voice synthesis (SVS)  
+- Voice conversion (SVC)  
+- MOS prediction and correlation modeling  
+
+To use the dataset effectively, please refer to the following files:
 
-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  
+| File | Description |
+|------|--------------|
+| `split.json` | Defines train/test partitions |
+| `score.json` | Provides system- and utterance-level MOS annotations |
+| `sys_info.json` | Describes system metadata (type, model, dataset, etc.) |
 
 ---
 
 ## 📂 Dataset Structure
+
 ```
 
 SingMOS-Pro
-├── wavs
+├── wavs/                   # Singing audio clips
 │   ├── sys0001-utt0001.wav
 │   ├── ...
-├── info
-│   ├── split.json
-│   ├── score.json
-│   ├── sys_info.json
-└── metadata.csv
+├── info/                   # Metadata and annotations
+│   ├── split.json          # Dataset splits
+│   ├── score.json          # MOS annotations
+│   ├── sys_info.json       # System details
+└── metadata.csv            # Summary of all samples
 
 ````
 
-### Structure of `split.json`
+---
+
+## 🧾 File Descriptions
+
+<details>
+<summary><b>1️⃣ split.json — dataset partition file</b></summary>
+
+Defines which utterances belong to the training and testing subsets.
+
 ```json
 {
     "dataset_name": {
-        "train": [...],
-        "test": [...]
+        "train": ["utt0001", "utt0002", ...],
+        "test": ["utt0101", "utt0102", ...]
     }
 }
 ````
 
-### Structure of `score.json`
+🔹 **Usage:** Load this file to organize your training and evaluation splits consistently across experiments.
+
+</details>
+
+---
+
+<details>
+<summary><b>2️⃣ score.json — MOS annotation file</b></summary>
+
+Contains both **system-level** and **utterance-level** MOS annotations.
 
 ```json
 {
-    "system": {
+    "system": { 
         "sys_id": {
-            "score": float,
-            "ci": float
+            "score": 3.85,       // average MOS of the system
+            "ci": 0.07           // confidence interval
         }
     },
     "utterance": {
         "utt_id": {
-            "sys_id": str,
-            "wav": str,
+            "sys_id": "sys0001",
+            "wav": "wavs/sys0001-utt0001.wav",
             "score": {
-                "mos": float,
-                "scores": [float],
-                "judges": [str]
+                "mos": 3.9,                // mean score for this utterance
+                "scores": [3.5, 4.0, 4.2], // judge scores
+                "judges": ["1", "2", "3"], // judge id
             }
         }
     }
 }
 ```
 
-### Structure of `sys_info.json`
+🔹 **Use cases:**
+
+* Compute correlations between system- and utterance-level MOS.
+* Analyze inter-rater variance or confidence intervals.
+* Build supervised MOS prediction models.
+
+</details>
+
+---
+
+<details>
+<summary><b>3️⃣ sys_info.json — system metadata file</b></summary>
+
+Describes each singing system’s generation method, dataset, and configuration.
 
 ```json
 {
     "sys_id": {
-        "type": "svs" | "svc" | "gt",
-        "dataset": str,
-        "model": str,
-        "sample_rate": int,
+        "type": "svs",             // "svs" (singing voice synthesis), "svc"(singing voice conversion), "svr" (singing voice resynthesis), or "gt" (ground truth)
+        "dataset": "Opencpop",     // original dataset source
+        "model": "DiffSinger",     // model name
+        "sample_rate": 16000,      // sample rate in Hz
         "tag": {
-            "domain_id": str,
-            "other_info": str
+            "domain_id": "1", // annotation batch or domain identifier
+            "other_info": "default" // additional metadata (e.g., codec codebook size, speaker transfer info, ...)
         }
     }
 }
 ```
 
-> **Note:** `"default"` in `"other_info"` means no additional information is provided.
+> 💡 `"other_info": "default"` means no additional metadata is available for that system.
+
+🔹 **Use cases:**
+
+* Filter systems by type (e.g., SVC vs. SVS).
+* Analyze how model architecture affects MOS.
+* Link metadata with subjective evaluation results.
+
+</details>
 
 ---
 
-## 🆕 Update Log
+## 🗓️ Update History
 
-* **[2025-10-09]** Released **SingMOS-Pro**
-* **[2024-11-06]** Released **SingMOS**
-* **[2024-06-26]** Released **SingMOS_v1**
+| Date           | Update                   |
+| -------------- | ------------------------ |
+| **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:
+If you use this dataset, please cite the following paper:
 
 ```bibtex
 @misc{tang2025singmosprocomprehensivebenchmarksinging,