Upload librivox_indonesia.py with huggingface_hub
Browse files- librivox_indonesia.py +17 -17
librivox_indonesia.py
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@@ -19,9 +19,9 @@ from typing import Dict, List, Tuple
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import datasets
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from
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from
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from
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import pandas as pd
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@@ -68,7 +68,7 @@ _LOCAL = False
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_SUPPORTED_TASKS = [Tasks.SPEECH_RECOGNITION] # example: [Tasks.TRANSLATION, Tasks.NAMED_ENTITY_RECOGNITION, Tasks.RELATION_EXTRACTION]
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_SOURCE_VERSION = "1.0.0"
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class LibrivoxIndonesia(datasets.GeneratorBasedBuilder):
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@@ -78,35 +78,35 @@ class LibrivoxIndonesia(datasets.GeneratorBasedBuilder):
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"""
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SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
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BUILDER_CONFIGS = [
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name="librivox_indonesia_source",
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version=_SOURCE_VERSION,
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description="Librivox-Indonesia source schema for all languages",
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schema="source",
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subset_id="librivox_indonesia",
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)] + [
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name="librivox_indonesia_{lang}_source".format(lang=lang),
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version=_SOURCE_VERSION,
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description="Librivox-Indonesia source schema for {lang} languages".format(lang=_LANG_CODE[lang][1]),
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schema="source",
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subset_id="librivox_indonesia_{lang}".format(lang=lang),
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) for lang in _LANGUAGES] + [
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name="
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version=
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description="Librivox-Indonesia Nusantara schema for all languages",
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schema="
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subset_id="librivox_indonesia",
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)] + [
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name="librivox_indonesia_{lang}
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version=
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description="Librivox-Indonesia Nusantara schema for {lang} languages".format(lang=_LANG_CODE[lang][1]),
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schema="
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subset_id="librivox_indonesia_{lang}".format(lang=lang),
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)for lang in _LANGUAGES]
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@@ -123,7 +123,7 @@ class LibrivoxIndonesia(datasets.GeneratorBasedBuilder):
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"audio": datasets.features.Audio(sampling_rate=44100)
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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 LibrivoxIndonesia(datasets.GeneratorBasedBuilder):
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"sentence": row["sentence"],
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"audio": path,
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}
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elif self.config.schema == "
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yield row["id"], {
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"id": row["id"],
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"speaker_id": row["reader"],
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import datasets
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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, DEFAULT_SOURCE_VIEW_NAME, DEFAULT_SEACROWD_VIEW_NAME
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import pandas as pd
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_SUPPORTED_TASKS = [Tasks.SPEECH_RECOGNITION] # example: [Tasks.TRANSLATION, Tasks.NAMED_ENTITY_RECOGNITION, Tasks.RELATION_EXTRACTION]
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_SOURCE_VERSION = "1.0.0"
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_SEACROWD_VERSION = "2024.06.20"
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class LibrivoxIndonesia(datasets.GeneratorBasedBuilder):
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"""
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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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SEACrowdConfig(
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name="librivox_indonesia_source",
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version=_SOURCE_VERSION,
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description="Librivox-Indonesia source schema for all languages",
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schema="source",
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subset_id="librivox_indonesia",
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)] + [
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SEACrowdConfig(
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name="librivox_indonesia_{lang}_source".format(lang=lang),
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version=_SOURCE_VERSION,
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description="Librivox-Indonesia source schema for {lang} languages".format(lang=_LANG_CODE[lang][1]),
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schema="source",
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subset_id="librivox_indonesia_{lang}".format(lang=lang),
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) for lang in _LANGUAGES] + [
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SEACrowdConfig(
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name="librivox_indonesia_seacrowd_sptext",
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version=_SEACROWD_VERSION,
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description="Librivox-Indonesia Nusantara schema for all languages",
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schema="seacrowd_sptext",
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subset_id="librivox_indonesia",
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)] + [
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SEACrowdConfig(
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name="librivox_indonesia_{lang}_seacrowd_sptext".format(lang=lang),
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version=_SEACROWD_VERSION,
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description="Librivox-Indonesia Nusantara schema for {lang} languages".format(lang=_LANG_CODE[lang][1]),
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schema="seacrowd_sptext",
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subset_id="librivox_indonesia_{lang}".format(lang=lang),
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)for lang in _LANGUAGES]
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"audio": datasets.features.Audio(sampling_rate=44100)
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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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"sentence": row["sentence"],
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"audio": path,
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}
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elif self.config.schema == "seacrowd_sptext":
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yield row["id"], {
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"id": row["id"],
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"speaker_id": row["reader"],
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