activate ci

README.md

@@ -24,7 +24,7 @@ librosa
 ```
 from datasets import load_dataset
 
-data = load_dataset("ccmusic-database/piano_sound_quality", split="5_Kawai")
+data = load_dataset("ccmusic-database/piano_sound_quality", split="train")
 labels = data.features['label'].names
 
 for item in data:
@@ -52,7 +52,7 @@ A score sheet (.xls format) of the piano sound quality rated by 29 people who pa
 
 ### Supported Tasks and Leaderboards
 
-Piano Sound Classification
+Piano Sound Classification, pitch detection
 
 ### Languages
 

piano_sound_quality.py

@@ -8,7 +8,7 @@ import requests
 from datasets.tasks import AudioClassification
 
 
-# Once upload a new piano brand, please register its name here
+# Once upload a new piano brand zip, please register its name here
 _NAMES = [
     "1_PearlRiver",
     "2_YoungChang",
@@ -45,8 +45,7 @@ Data was annotated by students from the China Conservatory of Music (CCMUSIC) in
 and collected by George Chou.
 """
 
-_URLS = {piano: _HOMEPAGE + "/resolve/main/data/" +
-         piano + ".zip" for piano in _NAMES}
+_URLS = {piano: f"{_HOMEPAGE}/resolve/main/data/{piano}.zip" for piano in _NAMES}
 
 
 _PITCHES = {"009": "A2", "010": "A2#/B2b", "011": "B2", "100": "C1", "101": "C1#/D1b", "102": "D1", "103": "D1#/E1b",
@@ -90,19 +89,19 @@ class piano_sound_quality(datasets.GeneratorBasedBuilder):
             ],
         )
 
-    def _get_wav_duration(self, file_bytes):
+    def _get_wav_dur_from_byte(self, file_bytes):
         with wave.open(io.BytesIO(file_bytes), 'r') as wav_file:
             frames = wav_file.getnframes()
             rate = wav_file.getframerate()
             duration = frames / float(rate)
         return round(duration, 3)
 
-    def _read_zip(self, zip_url, wav_file_path):
+    def _get_wav_dur_in_zip(self, zip_url, wav_file_path):
         resp = requests.get(zip_url)
         with zipfile.ZipFile(io.BytesIO(resp.content)) as zip_file:
             with zip_file.open(wav_file_path) as file:
                 file_data = file.read()
-                return self._get_wav_duration(file_data)
+                return self._get_wav_dur_from_byte(file_data)
 
     def _split_generators(self, dl_manager):
         data_files = dl_manager.download_and_extract(_URLS)
@@ -146,5 +145,5 @@ class piano_sound_quality(datasets.GeneratorBasedBuilder):
                     "audio": path,
                     "label": os.path.basename(os.path.dirname(path)),
                     "pitch": _PITCHES[file_name[1:4]],
-                    "duration": self._read_zip(path.split('::')[1], path.split('::')[0].split('//')[1]),
+                    "duration": self._get_wav_dur_in_zip(path.split('::')[1], path.split('::')[0].split('//')[1]),
                 }