Datasets:
Languages:
Sundanese
Tags:
speech-recognition
Rename su_id_asr_split.py to su_id_asr.py
Browse files
su_id_asr_split.py → su_id_asr.py
RENAMED
@@ -36,9 +36,9 @@ _HOMEPAGE = "https://indonlp.github.io/nusa-catalogue/card.html?su_id_asr"
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_LICENSE = "Attribution-ShareAlike 4.0 International."
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_URLs = {
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-
"su_id_asr_test": "https://univindonesia-my.sharepoint.com/:u:/g/personal/sabrina_aviana_office_ui_ac_id/
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-
"su_id_asr_val": "https://univindonesia-my.sharepoint.com/:u:/g/personal/sabrina_aviana_office_ui_ac_id/
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-
"su_id_asr_train": "https://univindonesia-my.sharepoint.com/:u:/g/personal/sabrina_aviana_office_ui_ac_id/
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}
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_SUPPORTED_TASKS = [Tasks.SPEECH_RECOGNITION]
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@@ -89,7 +89,6 @@ class SuIdASR(datasets.GeneratorBasedBuilder):
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homepage=_HOMEPAGE,
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license=_LICENSE,
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citation=_CITATION,
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-
task_templates=[datasets.AutomaticSpeechRecognition(audio_column="audio", transcription_column="text")],
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)
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def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
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@@ -100,7 +99,7 @@ class SuIdASR(datasets.GeneratorBasedBuilder):
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),
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datasets.SplitGenerator(
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name=datasets.Split.VALIDATION,
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-
gen_kwargs={"filepath": dl_manager.download_and_extract(_URLs["
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),
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datasets.SplitGenerator(
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name=datasets.Split.TEST,
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_LICENSE = "Attribution-ShareAlike 4.0 International."
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_URLs = {
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+
"su_id_asr_test": "https://univindonesia-my.sharepoint.com/:u:/g/personal/sabrina_aviana_office_ui_ac_id/EUHbJw7VwulAl8qOEi9_F1QByNZzLRB4mw6UQ3HCdjoRXQ?e=c28Vox&download=1",
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+
"su_id_asr_val": "https://univindonesia-my.sharepoint.com/:u:/g/personal/sabrina_aviana_office_ui_ac_id/ES1M4abLUEFBtInBgDkOgmMB3_R37u8zVr6bLdqMu3Jsnw?e=h1G1sQ&download=1",
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+
"su_id_asr_train": "https://univindonesia-my.sharepoint.com/:u:/g/personal/sabrina_aviana_office_ui_ac_id/ESMPmgzcQjdEvuslmz1apPoBt4luPfnkO8s831E-VxR8Yg?e=PSQtdW&download=1",
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}
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_SUPPORTED_TASKS = [Tasks.SPEECH_RECOGNITION]
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homepage=_HOMEPAGE,
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license=_LICENSE,
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citation=_CITATION,
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)
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def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
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),
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datasets.SplitGenerator(
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name=datasets.Split.VALIDATION,
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+
gen_kwargs={"filepath": dl_manager.download_and_extract(_URLs["su_id_asr_val"])},
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),
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datasets.SplitGenerator(
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name=datasets.Split.TEST,
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