Update description

youtube_casual_audio.py

@@ -12,7 +12,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-""" Common Voice Dataset"""
+""" Youtube Casual Audio Dataset"""
 
 
 import datasets
@@ -37,15 +37,15 @@ _LANGUAGES = {
         "Date": "2021-12-11",
         "Size": "17000 MB",
         "Version": "vi_100h_2020-12-11",
-        "Validated_Hr_Total": 0.74,
-        "Overall_Hr_Total": 1,
+        "Validated_Hr_Total": '~20h',
+        "Overall_Hr_Total": '~100h',
         "Number_Of_Voice": 62,
     },
 }
 
 
-class CustomCommonVoiceConfig(datasets.BuilderConfig):
-    """BuilderConfig for CommonVoice."""
+class YoutubeCasualAudioConfig(datasets.BuilderConfig):
+    """BuilderConfig for YoutubeCasualAudio."""
 
     def __init__(self, name, sub_version, **kwargs):
         """
@@ -63,20 +63,20 @@ class CustomCommonVoiceConfig(datasets.BuilderConfig):
         self.validated_hr_total = kwargs.pop("val_hrs", None)
         self.total_hr_total = kwargs.pop("total_hrs", None)
         self.num_of_voice = kwargs.pop("num_of_voice", None)
-        description = f"Common Voice speech to text dataset in {self.language} version " \
+        description = f"Youtube Casual Audio speech to text dataset in {self.language} version " \
                       f"{self.sub_version} of {self.date_of_snapshot}. " \
                       f"The dataset comprises {self.validated_hr_total} of validated transcribed speech data from " \
                       f"{self.num_of_voice} speakers. The dataset has a size of {self.size} "
-        super(CustomCommonVoiceConfig, self).__init__(
+        super(YoutubeCasualAudioConfig, self).__init__(
             name=name, version=datasets.Version("0.1.0", ""), description=description, **kwargs
         )
 
 
-class CustomCommonVoice(datasets.GeneratorBasedBuilder):
+class YoutubeCasualAudio(datasets.GeneratorBasedBuilder):
 
     DEFAULT_WRITER_BATCH_SIZE = 1000
     BUILDER_CONFIGS = [
-        CustomCommonVoiceConfig(
+        YoutubeCasualAudioConfig(
             name=lang_id,
             language=_LANGUAGES[lang_id]["Language"],
             sub_version=_LANGUAGES[lang_id]["Version"],
@@ -89,7 +89,6 @@ class CustomCommonVoice(datasets.GeneratorBasedBuilder):
             {
                 "file_path": datasets.Value("string"),
                 "script": datasets.Value("string"),
-                "duration": datasets.Value("float32"),
                 "audio": datasets.Audio(sampling_rate=16_000),
             }
         )
@@ -148,7 +147,7 @@ class CustomCommonVoice(datasets.GeneratorBasedBuilder):
         df = df.dropna()
         chars_to_ignore_regex = r'[,?.!\-;:"“%\'�]'
 
-        for file_path, script, duration in zip(df["file_path"], df["script"], df["duration"]):
+        for file_path, script in zip(df["file_path"], df["script"]):
             # set full path for mp3 audio file
             audio_path = path_to_clips + "/" + file_path
 
@@ -162,7 +161,6 @@ class CustomCommonVoice(datasets.GeneratorBasedBuilder):
             examples[audio_path] = {
                 "file_path": audio_path,
                 "script": script,
-                "duration": duration
             }
 
         for path, f in audio_files: