asdf
#3
by
mikolaj-p
- opened
- MOCKS-test.py +20 -17
MOCKS-test.py
CHANGED
@@ -54,7 +54,8 @@ _DL_URLS_TEMPLATE = {
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}
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_MOCKS_SETS = [
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-
"en.LS-clean"
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# "en.LS-other",
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# "en.MCV",
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# "de.MCV",
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@@ -81,6 +82,7 @@ class Mocks(datasets.GeneratorBasedBuilder):
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for subset in _MOCKS_SETS for suffix in _MOCKS_SUFFIXES]
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def _info(self):
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=datasets.Features({
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@@ -114,10 +116,10 @@ class Mocks(datasets.GeneratorBasedBuilder):
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k: v%(subset_lang, subset_name, "offline")
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for k, v in _DL_URLS_TEMPLATE.items()
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})
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-
online_archive_path = dl_manager.download({
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-
k: v%(subset_lang, subset_name, "online")
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-
for k, v in _DL_URLS_TEMPLATE.items()
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})
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split_offline = [datasets.SplitGenerator(
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name="offline",
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@@ -130,18 +132,19 @@ class Mocks(datasets.GeneratorBasedBuilder):
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)
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]
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-
split_online = [datasets.SplitGenerator(
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name="online",
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gen_kwargs={
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"audio_files": dl_manager.iter_archive(online_archive_path["data"]),
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"transcription_keyword": offline_archive_path["transcription"],
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"transcription_test": online_archive_path["transcription"],
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"pairs": [online_archive_path[pair_type] for pair_type in pairs_types],
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}
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)
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]
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-
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-
return split_offline + split_online
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def _read_transcription(self, transcription_path):
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}
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_MOCKS_SETS = [
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+
"en.LS-clean",
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]
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# "en.LS-other",
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# "en.MCV",
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# "de.MCV",
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for subset in _MOCKS_SETS for suffix in _MOCKS_SUFFIXES]
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def _info(self):
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logger.info("info")
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=datasets.Features({
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k: v%(subset_lang, subset_name, "offline")
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for k, v in _DL_URLS_TEMPLATE.items()
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})
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+
# online_archive_path = dl_manager.download({
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# k: v%(subset_lang, subset_name, "online")
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# for k, v in _DL_URLS_TEMPLATE.items()
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# })
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split_offline = [datasets.SplitGenerator(
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name="offline",
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)
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]
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+
# split_online = [datasets.SplitGenerator(
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# name="online",
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# gen_kwargs={
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# "audio_files": dl_manager.iter_archive(online_archive_path["data"]),
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# "transcription_keyword": offline_archive_path["transcription"],
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# "transcription_test": online_archive_path["transcription"],
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# "pairs": [online_archive_path[pair_type] for pair_type in pairs_types],
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# }
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# )
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# ]
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+
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# return split_offline + split_online
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return split_offline
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def _read_transcription(self, transcription_path):
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