Update README.md

README.md

@@ -1,10 +1,61 @@
 ---
 license: apache-2.0
 ---
-## 📂 Content Tree
 
 
+# WenetSpeech-Chuan: A Large-Scale Sichuanese Corpus With Rich Annotation For Dialectal Speech Processing
 
+
+<p align="center">
+  Yuhang Dai<sup>1</sup><sup>,*</sup>, Ziyu Zhang<sup>1</sup><sup>,*</sup>, Shuai Wang<sup>4</sup><sup>,5</sup>, 
+  Longhao Li<sup>1</sup>, Zhao Guo<sup>1</sup>, Tianlun Zuo<sup>1</sup>, 
+  Shuiyuan Wang<sup>1</sup>, Hongfei Xue<sup>1</sup>, Chengyou Wang<sup>1</sup>, 
+  Qing Wang<sup>3</sup>, Xin Xu<sup>2</sup>, Hui Bu<sup>2</sup>, Jie Li<sup>3</sup>, 
+  Jian Kang<sup>3</sup>, Binbin Zhang<sup>5</sup>, Lei Xie<sup>1</sup><sup>,╀</sup>
+</p>
+<p align="center">
+  <sup>1</sup> Audio, Speech and Language Processing Group (ASLP@NPU), Northwestern Polytechnical University <br>
+  <sup>2</sup> Beijing AISHELL Technology Co., Ltd. <br>
+  <sup>3</sup> Institute of Artificial Intelligence (TeleAI), China Telecom <br>
+  <sup>4</sup> School of Intelligence Science and Technology, Nanjing University <br>
+  <sup>5</sup> WeNet Open Source Community <br>
+</p>
+
+<p align="center">
+📑 <a href="https://arxiv.org/abs/2509.18004">Paper</a> &nbsp&nbsp | &nbsp&nbsp 
+🐙 <a href="https://github.com/ASLP-lab/WenetSpeech-Chuan">GitHub</a> &nbsp&nbsp | &nbsp&nbsp 
+🤗 <a href="https://huggingface.co/collections/ASLP-lab/wenetspeech-chuan-68bade9d02bcb1faece65bda">HuggingFace</a>
+<br>
+🎤 <a href="https://github.com/ASLP-lab/WenetSpeech-Chuan/blob/demopage/index.html">Demo Page</a> &nbsp&nbsp | &nbsp&nbsp 
+💬 <a href="https://github.com/ASLP-lab/WenetSpeech-Chuan?tab=readme-ov-file#contact">Contact Us</a>
+</p>
+
+
+<div align="center">
+  <img width="800px" src="https://github.com/ASLP-lab/WenetSpeech-Chuan/blob/main/src/logo/WenetSpeech-Chuan-Logo.png?raw=true" />
+</div>
+
+## Dataset
+### WenetSpeech-Chuan Overview
+
+* Contains 10,000 hours of large-scale Chuan-Yu dialect speech corpus with rich annotations, the largest open-source resource for Chuan-Yu dialect speech research.</li>
+* Stores metadata in a single JSON file, including audio path, duration, text confidence, speaker identity, SNR, DNSMOS, age, gender, and character-level timestamps. Additional metadata tags may be added in the future.</li>
+* Covers ten domains: Short videos, Entertainment, Live streams, Documentary, Audiobook, Drama, Interview, News and others.</li>
+
+<div align="center">
+  <img src="https://github.com/ASLP-lab/WenetSpeech-Chuan/blob/main/src/figs/domain.png?raw=true" width="300" style="display:inline-block; margin-right:10px;" />
+  <img src="https://github.com/ASLP-lab/WenetSpeech-Chuan/blob/main/src/figs/quality_distribution.jpg?raw=true" width="300" style="display:inline-block;" />
+</div>
+
+
+
+
+
+### Metadata Format
+We store all audio metadata in a standardized JSON format, where the core fields include `utt_id` (unique identifier for each audio segment), `rover_result` (ROVER result of three ASR transcriptions), `confidence` (confidence score of text transcription), `jyutping_confidence` (confidence score of Cantonese pinyin transcriptions), and `duration` (audio duration); speaker attributes include `speaker_id`, `gender`, and `age`; audio quality assessment metrics include `sample_rate`, `DNSMOS`, and `SNR`; timestamp information includes `timestamp` (precisely recording segment boundaries with `start` and `end`); and extended metadata under the `meta_info` field includes `program` (program name), `region` (geographical information), `link` (original content link), and `domain` (domain classification).
+
+
+#### 📂 Content Tree
 ```
 WenetSpeech-Chuan
 ├── metadata.jsonl
@@ -18,9 +69,9 @@ WenetSpeech-Chuan
 ├── .gitattributes
 └── README.md
 ```
-### Data sample（CN）：
+#### Data sample（CN）：
 
-#### metadata.jsonl
+###### metadata.jsonl
 {
   "utt_id": 原始长音频id, 
   "wav_utt_id": 转化为wav后的长音频id, 
@@ -30,7 +81,7 @@ WenetSpeech-Chuan
 }
 
 
-#### 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>
@@ -46,9 +97,9 @@ WenetSpeech-Chuan
   "gender": 说话人性别标签  (type: str，eg: 男/女), <br>
 } <br>
 
-### Data sample（EN）：
+#### Data sample（EN）：
 
-#### metadata.jsonl
+###### metadata.jsonl
 { <br>
   "utt_id": Original long audio ID,  <br>
   "wav_utt_id": Converted long audio ID after transforming to WAV format,  <br>
@@ -58,7 +109,7 @@ WenetSpeech-Chuan
 } <br>
 
 
-#### audio_labels/wav_utt_id.jsonl：
+###### audio_labels/wav_utt_id.jsonl：
 
 { <br>
   "wav_utt_id_timestamp": Short audio segment ID, composed of the converted long audio ID + timestamp information (type: str), <br>