Upload indspeech_news_ethnicsr.py with huggingface_hub
Browse files- indspeech_news_ethnicsr.py +11 -11
indspeech_news_ethnicsr.py
CHANGED
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@@ -5,9 +5,9 @@ import datasets
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import json
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import os
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from
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from
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from
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from zipfile import ZipFile
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_CITATION = """\
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@@ -39,7 +39,7 @@ _URLS = {
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_SUPPORTED_TASKS = [Tasks.SPEECH_RECOGNITION]
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_SOURCE_VERSION = "1.0.0"
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class IndSpeechNewsEthnicSR(datasets.GeneratorBasedBuilder):
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@@ -47,25 +47,25 @@ class IndSpeechNewsEthnicSR(datasets.GeneratorBasedBuilder):
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SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
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BUILDER_CONFIGS = []
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for fold_id in ["overlap", "nooverlap"]:
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for fold_name in ['jv', "su"]:
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BUILDER_CONFIGS.extend(
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[
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name=f"indspeech_news_ethnicsr_{fold_name}_{fold_id}_source",
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version=_SOURCE_VERSION,
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description="indspeech_news_ethnicsr source schema",
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schema="source",
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subset_id=f"indspeech_news_ethnicsr_{fold_name}_{fold_id}"
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),
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name=f"indspeech_news_ethnicsr_{fold_name}_{fold_id}
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version=_SOURCE_VERSION,
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description="indspeech_news_ethnicsr Nusantara schema",
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schema="
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subset_id=f"indspeech_news_ethnicsr_{fold_name}_{fold_id}"
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),]
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)
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@@ -86,7 +86,7 @@ class IndSpeechNewsEthnicSR(datasets.GeneratorBasedBuilder):
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}
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)
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elif self.config.schema == "
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features = schemas.speech_text_features
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return datasets.DatasetInfo(
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@@ -198,7 +198,7 @@ class IndSpeechNewsEthnicSR(datasets.GeneratorBasedBuilder):
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}
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yield audio_id, ex
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elif self.config.schema == "
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ex = {
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"id": audio_id,
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"speaker_id": speaker_id,
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import json
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import os
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from seacrowd.utils import schemas
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from seacrowd.utils.configs import SEACrowdConfig
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from seacrowd.utils.constants import Tasks
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from zipfile import ZipFile
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_CITATION = """\
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_SUPPORTED_TASKS = [Tasks.SPEECH_RECOGNITION]
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_SOURCE_VERSION = "1.0.0"
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_SEACROWD_VERSION = "2024.06.20"
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class IndSpeechNewsEthnicSR(datasets.GeneratorBasedBuilder):
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SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
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SEACROWD_VERSION = datasets.Version(_SEACROWD_VERSION)
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BUILDER_CONFIGS = []
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for fold_id in ["overlap", "nooverlap"]:
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for fold_name in ['jv', "su"]:
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BUILDER_CONFIGS.extend(
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[SEACrowdConfig(
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name=f"indspeech_news_ethnicsr_{fold_name}_{fold_id}_source",
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version=_SOURCE_VERSION,
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description="indspeech_news_ethnicsr source schema",
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schema="source",
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subset_id=f"indspeech_news_ethnicsr_{fold_name}_{fold_id}"
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),
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SEACrowdConfig(
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name=f"indspeech_news_ethnicsr_{fold_name}_{fold_id}_seacrowd_sptext",
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version=_SOURCE_VERSION,
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description="indspeech_news_ethnicsr Nusantara schema",
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schema="seacrowd_sptext",
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subset_id=f"indspeech_news_ethnicsr_{fold_name}_{fold_id}"
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),]
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)
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}
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)
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elif self.config.schema == "seacrowd_sptext":
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features = schemas.speech_text_features
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return datasets.DatasetInfo(
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}
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yield audio_id, ex
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elif self.config.schema == "seacrowd_sptext":
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ex = {
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"id": audio_id,
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"speaker_id": speaker_id,
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