Update README.md

README.md

@@ -71,13 +71,13 @@ TTS 效果演示：https://huggingface.co/spaces/laubonghaudoi/zoengjyutgaai_tts
 ```python
 from datasets import load_dataset
 
-ds = load_dataset("laubonghaudoi/zoengjyutgaai_saamgwokjinji")
+ds = load_dataset("CanCLID/zoengjyutgaai_saamgwokjinji")
 ```
 
 如果想單純將所有 wav 文件同對應嘅轉寫複製落嚟，可以跑下面嘅命令行嚟針對克隆個`wav/`路經，避免將成個 repo 都克隆落嚟浪費空間同下載時間：
 
 ```bash
-git clone --filter=blob:none --sparse https://huggingface.co/datasets/laubonghaudoi/zoengjyutgaai_saamgwokjinji
+git clone --filter=blob:none --sparse https://huggingface.co/datasets/CanCLID/zoengjyutgaai_saamgwokjinji
 
 cd zoengjyutgaai_saamgwokjinji
 
@@ -105,7 +105,7 @@ dataset['train'][0]
 # 準備好個 token 嚟登入
 login()
 # 推上 HuggingFace datasets
-dataset.push_to_hub("laubonghaudoi/zoengjyutgaai_saamgwokjinji")
+dataset.push_to_hub("CanCLID/zoengjyutgaai_saamgwokjinji")
 ```
 
 ### 將`.webm`無損轉為`.wav`
@@ -145,13 +145,13 @@ To use this dataset, simply run in Python:
 ```python
 from datasets import load_dataset
 
-ds = load_dataset("laubonghaudoi/zoengjyutgaai_saamgwokjinji")
+ds = load_dataset("CanCLID/zoengjyutgaai_saamgwokjinji")
 ```
 
 To save space and downloading time and avoid clonin the entire repo, you can selectively clone only the `wav./` directory which contains all the wav files and transcriptions:
 
 ```bash
-git clone --filter=blob:none --sparse https://huggingface.co/datasets/laubonghaudoi/zoengjyutgaai_saamgwokjinji
+git clone --filter=blob:none --sparse https://huggingface.co/datasets/CanCLID/zoengjyutgaai_saamgwokjinji
 
 cd zoengjyutgaai_saamgwokjinji