Update README.md

README.md

@@ -58,8 +58,14 @@ We store all audio metadata in a standardized JSON format, where the core fields
 
 #### 📂 Content Tree
 ```
+
 WenetSpeech-Chuan
 ├── metadata.jsonl
+├── .gitattributes
+└── README.md
+
+<!-- WenetSpeech-Chuan
+├── metadata.jsonl
 │
 ├── audio_labels/
 │   ├── wav_utt_id.jsonl
@@ -68,21 +74,38 @@ WenetSpeech-Chuan
 │   └── wav_utt_id.jsonl
 │
 ├── .gitattributes
-└── README.md
+└── README.md -->
 ```
 #### Data sample（CN）：
 
 ###### metadata.jsonl
 {
-  "utt_id": 原始长音频id, 
-  "wav_utt_id": 转化为wav后的长音频id, 
-  "source_audio_path": 原始长音频路径, 
-  "audio_labels": 转化后的长音频切分出的短音频标签文件路径,
-  "url": 原始长音频下载链接
+  "utt": 音频id, 
+  "filename"：音频文件名(type: str),
+  "text": 转录抄本(type: str),
+  "domain": 参考领域信息(type: list[str]),
+  "gender": 说话人性别(type: str),
+  "age": 说话人年龄标签 (type: int范围, eg: 中年（36~59）),
+  "wvmos": 音频质量分数(type: float),
+  "confidence": 转录文本置信度（0-1）(type: str)
 }
+<br>
+**example:**
+{<br>
+    "utt": "013165482320_dwM1G_56_5920", <br>
+    "filename": "013165482320_dwM1G_56_5920.wav", <br>
+    "text": "道具组安排上了来吧每行都对啊李老师", <br>
+    "domain": ["短视频"], <br>
+    "gender": male, <br>
+    "age": null, <br>
+    "emotion": angry, <br>
+    "wvmos": 0.9570670127868652, <br>
+    "confidence": 0.9706 <br>
+} <br>
 
 
-###### audio_labels/wav_utt_id.jsonl：
+
+<!-- ###### audio_labels/wav_utt_id.jsonl：
 { <br>
   "wav_utt_id_timestamp": 以 转化为wav后的长音频id_时间戳信息 作为切分后的短音频id (type: str), <br>
   "wav_utt_id_timestamp_path": 短音频数据路径 (type: str), <br>
@@ -97,8 +120,8 @@ WenetSpeech-Chuan
   "age": 说话人年龄标签 (type: int范围, eg: 中年（36~59）), <br>
   "gender": 说话人性别标签  (type: str，eg: 男/女), <br>
 } <br>
-
-#### Data sample（EN）：
+ -->
+<!-- #### Data sample（EN）：
 
 ###### metadata.jsonl
 { <br>
@@ -126,7 +149,7 @@ WenetSpeech-Chuan
   "age": Speaker’s age label (type: int range, e.g., middle-aged (36–59)), <br>
   "gender": Speaker’s gender label (type: str, e.g., male/female) <br>
 } <br>
-
+ -->
 ### WenetSpeech Usage
 You can obtain the original video source through the `link` field in the metadata file (`metadata.json`). Segment the audio according to the `timestamps` field to extract the corresponding record. For pre-processed audio data, please contact us using the information provided below.