add config

EliteVoiceProject.py

@@ -34,9 +34,9 @@ _LICENSE = "https://hololive.hololivepro.com/guidelines/"
 
 _BASE_URL = "https://huggingface.co/datasets/Elite35P-Server/EliteVoiceProject/resolve/main/"
 
-_AUDIO_URL = _BASE_URL + "audio/{platform}/{platform}_{version}.tar"
+_AUDIO_URL = _BASE_URL + "audio/{platform}/{split}/{platform}_{split}_{version}.tar"
 
-_TRANSCRIPT_URL = _BASE_URL + "transcript/{platform}/{platform}_{version}.tsv"
+_TRANSCRIPT_URL = _BASE_URL + "transcript/{platform}/{split}/{platform}_{split}_{version}.tsv"
 
 
 class EliteVoiceProjectConfig(datasets.BuilderConfig):
@@ -61,11 +61,12 @@ class EliteVoiceProject(datasets.GeneratorBasedBuilder):
 
     BUILDER_CONFIGS = [
         EliteVoiceProjectConfig(
-            name='Elite Voice Project',
+            name=platporm,
             version='0.0.1',
             language='Japanese',
             release_date='2022-12-06',
         )
+        for platporm in ["twitter", "youtube", "youtube"]
     ]
 
     def _info(self):
@@ -92,27 +93,26 @@ class EliteVoiceProject(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
+        platporm = self.config.name
         version = self.config.version
         
         audio_urls = {}
         #splits = ("twitter", "youtube", "twitch", "test")
-        splits = ("twitter")
+        splits = ("train", "test")
         for split in splits:
             audio_urls[split] = [
-                _AUDIO_URL.format(platform=split, version=version)
+                _AUDIO_URL.format(platform=platporm, split=split, version=version)
             ]
         archive_paths = dl_manager.download(audio_urls)
         local_extracted_archive_paths = dl_manager.extract(archive_paths) if not dl_manager.is_streaming else {}
 
-        meta_urls = {split: _TRANSCRIPT_URL.format(platform=split, version=version) for split in splits}
+        meta_urls = {split: _TRANSCRIPT_URL.format(platform=platporm, split=split, version=version) for split in splits}
         meta_paths = dl_manager.download_and_extract(meta_urls)
 
         split_generators = []
         split_names = {
-            "twitter": datasets.Split.TRAIN,
-            #"youtube": datasets.Split.TRAIN,
-            #"twitch": datasets.Split.TRAIN,
-            #"test": datasets.Split.TEST,
+            "train": datasets.Split.TRAIN,
+            "test": datasets.Split.TEST,
         }
         for split in splits:
             split_generators.append(