更新代碼

README.md

@@ -1,53 +1,53 @@
 ---
 language:
-- yue
+  - yue
 license: cc0-1.0
 size_categories:
-- 10K<n<100K
+  - 10K<n<100K
 task_categories:
-- automatic-speech-recognition
-- text-to-speech
-- text-generation
-- feature-extraction
-- audio-to-audio
-- audio-classification
-- text-to-audio
+  - automatic-speech-recognition
+  - text-to-speech
+  - text-generation
+  - feature-extraction
+  - audio-to-audio
+  - audio-classification
+  - text-to-audio
 pretty_name: c
 configs:
-- config_name: default
-  data_files:
-  - split: saamgwokjinji
-    path: data/saamgwokjinji-*
-  - split: seoiwuzyun
-    path: data/seoiwuzyun-*
-  - split: mouzaakdung
-    path: data/mouzaakdung-*
+  - config_name: default
+    data_files:
+      - split: saamgwokjinji
+        path: data/saamgwokjinji-*
+      - split: seoiwuzyun
+        path: data/seoiwuzyun-*
+      - split: mouzaakdung
+        path: data/mouzaakdung-*
 tags:
-- cantonese
-- audio
-- art
+  - cantonese
+  - audio
+  - art
 dataset_info:
   features:
-  - name: audio
-    dtype: audio
-  - name: id
-    dtype: string
-  - name: episode_id
-    dtype: int64
-  - name: audio_duration
-    dtype: float64
-  - name: transcription
-    dtype: string
+    - name: audio
+      dtype: audio
+    - name: id
+      dtype: string
+    - name: episode_id
+      dtype: int64
+    - name: audio_duration
+      dtype: float64
+    - name: transcription
+      dtype: string
   splits:
-  - name: saamgwokjinji
-    num_bytes: 2398591354.589
-    num_examples: 39173
-  - name: seoiwuzyun
-    num_bytes: 1629539808.0
-    num_examples: 24744
-  - name: mouzaakdung
-    num_bytes: 89173361.615
-    num_examples: 1645
+    - name: saamgwokjinji
+      num_bytes: 2398591354.589
+      num_examples: 39173
+    - name: seoiwuzyun
+      num_bytes: 1629539808.0
+      num_examples: 24744
+    - name: mouzaakdung
+      num_bytes: 89173361.615
+      num_examples: 1645
   download_size: 4136850525
   dataset_size: 4117304524.204
 ---
@@ -60,7 +60,12 @@ dataset_info:
 
 - **Homepage:** [張悦楷講古語音數據集 The Zoeng Jyut Gaai Story-telling Speech Dataset](https://canclid.github.io/zoengjyutgaai/)
 - **License:** [CC0 1.0 Universal](https://creativecommons.org/publicdomain/zero/1.0/)
-- **Total Duration:** 104 hours
+- **Total Duration:** 107.37 hours
+- **Average Clip Duration**: 5.896 seconds
+- **Median Clip Duration**: 5.438 seconds
+- **Total number of characters**: 1603472
+- **Language:** Cantonese (`yue`)
+- **Voice Actor:** [張悦楷](https://zh.wikipedia.org/wiki/%E5%BC%A0%E6%82%A6%E6%A5%B7)
 
 呢個係張悦楷講《三國演義》同《水滸傳》語音數據集。[張悦楷](https://zh.wikipedia.org/wiki/%E5%BC%A0%E6%82%A6%E6%A5%B7)係廣州最出名嘅講古佬 / 粵語説書藝人。佢從上世紀七十年代開始就喺廣東各個收音電台度講古，佢把聲係好多廣州人嘅共同回憶。本數據集《三國演義》係佢最知名嘅作品一。
 
@@ -136,9 +141,11 @@ from huggingface_hub import login
 
 sg = load_dataset('audiofolder', data_dir='./opus/saamgwokjinji')
 sw = load_dataset('audiofolder', data_dir='./opus/seoiwuzyun')
+mzd = load_dataset('audiofolder', data_dir='./opus/mouzaakdung')
 dataset = DatasetDict({
     "saamgwokjinji": sg["train"],
     "seoiwuzyun": sw["train"],
+    "mouzaakdung": mzd["train"],
 })
 
 # 檢查下讀入嘅數據有冇問題

cut.py

@@ -6,7 +6,7 @@ import pysrt
 from pydub import AudioSegment
 
 
-def srt_to_segments_with_metadata(srt_file, episode, audio_file, output_dir, metadata_file, subset: Literal["saamgwokjinji", "seoiwuzyun"]):
+def srt_to_segments_with_metadata(srt_file, episode, audio_file, output_dir, metadata_file, subset: Literal["saamgwokjinji", "seoiwuzyun", "mouzaakdung"]):
     # Load the SRT file
     subs = pysrt.open(srt_file)
 
@@ -33,6 +33,8 @@ def srt_to_segments_with_metadata(srt_file, episode, audio_file, output_dir, met
             prefix = "sg"
         elif subset == "seoiwuzyun":
             prefix = "sw"
+        elif subset == "mouzaakdung":
+            prefix = "mzd"
 
         for index, sub in enumerate(subs):
             # Get start and end times in milliseconds
@@ -68,13 +70,14 @@ def srt_to_segments_with_metadata(srt_file, episode, audio_file, output_dir, met
 
 if __name__ == "__main__":
     # subset = "saamgwokjinji"
-    subset = "seoiwuzyun"
+    # subset = "seoiwuzyun"
+    subset = "mouzaakdung"
 
     print(f"Processing subset: {subset}")
     # If append to existing metadata file
     metadata_file = os.path.join("opus", subset, "metadata.csv")  # Define metadata file path here
 
-    for episode in range(81, 93):
+    for episode in range(1, 11):
         # If creating new csv
         # metadata_file = f"{episode}.csv"
         episode_str = f'{episode:03d}'  # Format episode as 3-digit string

stats.py

@@ -72,7 +72,7 @@ def get_info(subsets: List[str] | Literal["saamgwokjinji", "seoiwuzyun"]) -> Non
     total_characters = metadata['transcription'].str.len().sum()
 
     # Calculate mean number of characters
-    mean_characters = metadata['transcription'].str.len().mean()
+    average_characters = metadata['transcription'].str.len().mean()
 
     # Calculate median number of characters
     median_characters = metadata['transcription'].str.len().median()
@@ -82,7 +82,7 @@ def get_info(subsets: List[str] | Literal["saamgwokjinji", "seoiwuzyun"]) -> Non
 
     # Print results
     print(f"Total characters: {total_characters}")
-    print(f"Mean characters per transcription: {mean_characters:.2f}")
+    print(f"Average characters per clip: {average_characters:.2f}")
     print(f"Median characters per transcription: {median_characters}")
     print(f"Number of unique characters: {len(unique_characters)}")
     print(f"Unique characters: {''.join(sorted(unique_characters))}")
@@ -91,6 +91,7 @@ def get_info(subsets: List[str] | Literal["saamgwokjinji", "seoiwuzyun"]) -> Non
 
 
 if __name__ == '__main__':
-    get_info('saamgwokjinji')
-    get_info('seoiwuzyun')
-    get_info(['saamgwokjinji', 'seoiwuzyun'])
+    # get_info('saamgwokjinji')
+    # get_info('seoiwuzyun')
+    # get_info('mouzaakdung')
+    get_info(['saamgwokjinji', 'seoiwuzyun', 'mouzaakdung'])