Update asr_sundanese_2.py

asr_sundanese_2.py

@@ -15,40 +15,42 @@
 
 import csv
 import os
-from typing import Dict, List
+from pathlib import Path
+from typing import List
 
 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
-_UNIFIED_VIEW_NAME = DEFAULT_SEACROWD_VIEW_NAME
-
-_LANGUAGES = ["sun"]
-_LOCAL = False
 _CITATION = """\
-@inproceedings{sodimana18_sltu,
-  author={Keshan Sodimana and Pasindu {De Silva} and Supheakmungkol Sarin and Oddur Kjartansson and Martin Jansche and Knot Pipatsrisawat and Linne Ha},
-  title={{A Step-by-Step Process for Building TTS Voices Using Open Source Data and Frameworks for Bangla, Javanese, Khmer, Nepali, Sinhala, and Sundanese}},
-  year=2018,
-  booktitle={Proc. 6th Workshop on Spoken Language Technologies for Under-Resourced Languages (SLTU 2018)},
-  pages={66--70},
-  doi={10.21437/SLTU.2018-14}
-}
+@inproceedings{kjartansson-etal-sltu2018,
+    title = {{Crowd-Sourced Speech Corpora for Javanese, Sundanese,  Sinhala, Nepali, and Bangladeshi Bengali}},
+    author = {Oddur Kjartansson and Supheakmungkol Sarin and Knot Pipatsrisawat and Martin Jansche and Linne Ha},
+    booktitle = {Proc. The 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages (SLTU)},
+    year  = {2018},
+    address = {Gurugram, India},
+    month = aug,
+    pages = {52--55},
+    URL   = {http://dx.doi.org/10.21437/SLTU.2018-11},
+  }
 """
 
+_DATASETNAME = "su_id_asr"
+
 _DESCRIPTION = """\
-Sundanese ASR training data set containing ~220K utterances.
-This dataset was collected by Google in Indonesia.
+This data set contains transcribed audio data for Javanese. The data set consists of wave files, and a TSV file.
+The file utt_spk_text.tsv contains a FileID, UserID and the transcription of audio in the file.
+The data set has been manually quality checked, but there might still be errors.
+This dataset was collected by Google in collaboration with Reykjavik University and Universitas Gadjah Mada in Indonesia.
 """
 
-_HOMEPAGE = "https://indonlp.github.io/nusa-catalogue/card.html?su_id_asr"
+_HOMEPAGE = "http://openslr.org/35/"
+_LANGUAGES = ["sun"]
+_LOCAL = False
 
-_LICENSE = "Attribution-ShareAlike 4.0 International."
+_LICENSE = "Attribution-ShareAlike 4.0 International"
 
 _URLs = {
     "su_id_asr_train": "https://drive.google.com/uc?export=download&id=10YBMnKSfZQKCuYGXAsTeTfUM5t3rGLs-",
@@ -56,26 +58,31 @@ _URLs = {
     "su_id_asr_test": "https://drive.google.com/uc?export=download&id=1P6mtQJoZ2QV7AC9zbR2nDbW6s6YrJ_XU",
 }
 
-_SUPPORTED_TASKS = [Tasks.SPEECH_RECOGNITION]
+_SUPPORTED_TASKS = [Tasks.SPEECH_RECOGNITION]  # example: [Tasks.TRANSLATION, Tasks.NAMED_ENTITY_RECOGNITION, Tasks.RELATION_EXTRACTION]
 
 _SOURCE_VERSION = "1.0.0"
+
 _SEACROWD_VERSION = "2024.06.20"
 
+
 class SuIdASR(datasets.GeneratorBasedBuilder):
-    """su_id contains ~220K utterances for Sundanese ASR training data."""
+    """Sundanese ASR training data set containing ~185K utterances."""
+
+    SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
+    SEACROWD_VERSION = datasets.Version(_SEACROWD_VERSION)
 
     BUILDER_CONFIGS = [
         SEACrowdConfig(
             name="su_id_asr_source",
-            version=datasets.Version(_SOURCE_VERSION),
-            description="SU_ID_ASR source schema",
+            version=SOURCE_VERSION,
+            description="su_id_asr source schema",
             schema="source",
             subset_id="su_id_asr",
         ),
         SEACrowdConfig(
             name="su_id_asr_seacrowd_sptext",
-            version=datasets.Version(_SEACROWD_VERSION),
-            description="SU_ID_ASR Nusantara schema",
+            version=SEACROWD_VERSION,
+            description="su_id_asr Nusantara schema",
             schema="seacrowd_sptext",
             subset_id="su_id_asr",
         ),
@@ -83,7 +90,7 @@ class SuIdASR(datasets.GeneratorBasedBuilder):
 
     DEFAULT_CONFIG_NAME = "su_id_asr_source"
 
-    def _info(self):
+    def _info(self) -> datasets.DatasetInfo:
         if self.config.schema == "source":
             features = datasets.Features(
                 {
@@ -103,7 +110,6 @@ class SuIdASR(datasets.GeneratorBasedBuilder):
             homepage=_HOMEPAGE,
             license=_LICENSE,
             citation=_CITATION,
-            # task_templates=[datasets.AutomaticSpeechRecognition(audio_column="audio", transcription_column="text")],
         )
 
     def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
@@ -114,7 +120,7 @@ class SuIdASR(datasets.GeneratorBasedBuilder):
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.VALIDATION,
-                gen_kwargs={"filepath": dl_manager.download_and_extract(_URLs["su_id_asr_val"])},  # Fix here
+                gen_kwargs={"filepath": dl_manager.download_and_extract(_URLs["su_id_asr_dev"])},
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,