Update README.md

README.md

@@ -65,11 +65,14 @@ TTS 效果演示：https://huggingface.co/spaces/laubonghaudoi/zoengjyutgaai_tts
 - 所有文本都使用全角標點，冇半角標點。
 - 所有文本都用漢字轉寫，無阿拉伯數字無英文字母
 - 所有音頻源都存放喺`/webm`，為方便直接用作訓練數據，切分後嘅音頻都重採樣升 44100Hz 放喺 `wav/`
-
-要使用呢個數據集，可以喺 Python 入面直接跑：
+- 所有源字幕 SRT 文件都存放喺 `srt/` 路經下，搭配 webm 可以直接作為帶字幕錄音賞聽。
+- `cut.py` 係切分腳本，可以將對應嘅 wav 根據 srt 切分成短句並生成一個文本轉寫 csv。
+- `stats.py` 係統計腳本，運行佢就會顯示成個數據集嘅各項統計數據。
 
 ## 使用
 
+要使用呢個數據集，可以喺 Python 入面直接跑：
+
 ```python
 from datasets import load_dataset
 
@@ -144,6 +147,9 @@ TTS demo: https://huggingface.co/spaces/laubonghaudoi/zoengjyutgaai_tts
 - All transcriptions use full-width punctuations, no half-width punctuations is used.
 - All transcriptions are in Chinese characters, no Arabic numbers or Latin letters.
 - All source audio are stored in `/webm`. For the convenice of training, segmented audios are resampled into 44.1 kHz and stored in `wav/`.
+- All source subtitle SRT files are stored in `srt/`. Use them with the webm files to enjoy subtitled storytelling pieces.
+- `cut.py` is the script for cutting wav audios into smaller senteneces based on the srt, and generates a csv file for transcriptions.
+- `stats.py` is the script for showing stats of this datasets.
 
 ## Usage