aa

su_id_asr_split.py

@@ -1,13 +1,15 @@
 import csv
 import os
-from typing import Dict, List
+from pathlib import Path
+from typing import List
+import gdown
+import tempfile
 
 import datasets
 
 from seacrowd.utils import schemas
 from seacrowd.utils.configs import SEACrowdConfig
-from seacrowd.utils.constants import (DEFAULT_SEACROWD_VIEW_NAME,
-                                       DEFAULT_SOURCE_VIEW_NAME, Tasks)
+from seacrowd.utils.constants import Tasks
 
 _DATASETNAME = "su_id_asr"
 _SOURCE_VIEW_NAME = DEFAULT_SOURCE_VIEW_NAME
@@ -41,10 +43,9 @@ _URLs = {
     "su_id_asr_test": "https://drive.google.com/file/d/1-7aLW9Tzs4lxm9ImWho91FjpgpVC6wAc/view?usp=sharing",
 }
 
-_SUPPORTED_TASKS = [Tasks.SPEECH_RECOGNITION]  # example: [Tasks.TRANSLATION, Tasks.NAMED_ENTITY_RECOGNITION, Tasks.RELATION_EXTRACTION]
+_SUPPORTED_TASKS = [Tasks.SPEECH_RECOGNITION]
 
 _SOURCE_VERSION = "1.0.0"
-
 _SEACROWD_VERSION = "2024.06.20"
 
 def download_from_gdrive(url, output_dir):
@@ -56,7 +57,7 @@ def download_from_gdrive(url, output_dir):
     return output_path
 
 
-class JvIdASR(datasets.GeneratorBasedBuilder):
+class SuIdASR(datasets.GeneratorBasedBuilder):
     """Javanese ASR training data set containing ~185K utterances."""
 
     SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)