Upload titml_idn.py with huggingface_hub

titml_idn.py

@@ -5,13 +5,13 @@ import datasets
 import json
 import os
 
-from nusacrowd.utils import schemas
-from nusacrowd.utils.configs import NusantaraConfig
-from nusacrowd.utils.constants import Tasks, DEFAULT_SOURCE_VIEW_NAME, DEFAULT_NUSANTARA_VIEW_NAME
+from seacrowd.utils import schemas
+from seacrowd.utils.configs import SEACrowdConfig
+from seacrowd.utils.constants import Licenses, Tasks, DEFAULT_SOURCE_VIEW_NAME, DEFAULT_SEACROWD_VIEW_NAME
 
 _DATASETNAME = "titml_idn"
 _SOURCE_VIEW_NAME = DEFAULT_SOURCE_VIEW_NAME
-_UNIFIED_VIEW_NAME = DEFAULT_NUSANTARA_VIEW_NAME
+_UNIFIED_VIEW_NAME = DEFAULT_SEACROWD_VIEW_NAME
 
 _LANGUAGES = ["ind"]  # We follow ISO639-3 language code (https://iso639-3.sil.org/code_tables/639/data)
 _LOCAL = False
@@ -31,32 +31,32 @@ TITML-IDN (Tokyo Institute of Technology Multilingual - Indonesian) is collected
 
 _HOMEPAGE = "http://research.nii.ac.jp/src/en/TITML-IDN.html"
 
-_LICENSE = "For research purposes only. If you use this corpus, you have to cite (Lestari et al, 2006)."
+_LICENSE = Licenses.OTHERS.value + " | For research purposes only. If you use this corpus, you have to cite (Lestari et al, 2006)."
 
 _URLs = {"titml-idn": "https://huggingface.co/datasets/holylovenia/TITML-IDN/resolve/main/IndoLVCSR.zip"}
 
 _SUPPORTED_TASKS = [Tasks.SPEECH_RECOGNITION]
 
 _SOURCE_VERSION = "1.0.0"
-_NUSANTARA_VERSION = "1.0.0"
+_SEACROWD_VERSION = "2024.06.20"
 
 
 class TitmlIdn(datasets.GeneratorBasedBuilder):
     """TITML-IDN is a speech recognition dataset containing Indonesian speech collected with transcriptions from newpaper and magazine articles."""
 
     BUILDER_CONFIGS = [
-        NusantaraConfig(
+        SEACrowdConfig(
             name="titml_idn_source",
             version=datasets.Version(_SOURCE_VERSION),
             description="TITML-IDN source schema",
             schema="source",
             subset_id="titml_idn",
         ),
-        NusantaraConfig(
-            name="titml_idn_nusantara_sptext",
-            version=datasets.Version(_NUSANTARA_VERSION),
+        SEACrowdConfig(
+            name="titml_idn_seacrowd_sptext",
+            version=datasets.Version(_SEACROWD_VERSION),
             description="TITML-IDN Nusantara schema",
-            schema="nusantara_sptext",
+            schema="seacrowd_sptext",
             subset_id="titml_idn",
         ),
     ]
@@ -74,7 +74,7 @@ class TitmlIdn(datasets.GeneratorBasedBuilder):
                     "text": datasets.Value("string"),
                 }
             )
-        elif self.config.schema == "nusantara_sptext":
+        elif self.config.schema == "seacrowd_sptext":
             features = schemas.speech_text_features
 
         return datasets.DatasetInfo(
@@ -98,7 +98,7 @@ class TitmlIdn(datasets.GeneratorBasedBuilder):
 
     def _generate_examples(self, filepath: Path, n_speakers=20):
 
-        if self.config.schema == "source" or self.config.schema == "nusantara_sptext":
+        if self.config.schema == "source" or self.config.schema == "seacrowd_sptext":
 
             for speaker_id in range(1, n_speakers + 1):
                 speaker_id = str(speaker_id).zfill(2)
@@ -121,7 +121,7 @@ class TitmlIdn(datasets.GeneratorBasedBuilder):
                                     "text": text,
                                 }
                                 yield audio_id, ex
-                            elif self.config.schema == "nusantara_sptext":
+                            elif self.config.schema == "seacrowd_sptext":
                                 ex = {
                                     "id": audio_id,
                                     "speaker_id": speaker_id,