Update files from the datasets library (from 1.16.0)
Browse filesRelease notes: https://github.com/huggingface/datasets/releases/tag/1.16.0
ami.py
CHANGED
@@ -361,12 +361,12 @@ class AMI(datasets.GeneratorBasedBuilder):
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def _split_generators(self, dl_manager):
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# multi-processing doesn't work for AMI
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-
if hasattr(dl_manager, "
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logger.warning(
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"AMI corpus cannot be downloaded using multi-processing. "
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"Setting number of downloaded processes `num_proc` to 1. "
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)
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dl_manager.
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annotation_path = dl_manager.download_and_extract(_DL_URL_ANNOTATIONS)
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@@ -512,7 +512,7 @@ class AMI(datasets.GeneratorBasedBuilder):
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# words
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words_paths = {
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_id: [os.path.join(annotation_path, "words/{}.{}.words.xml"
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for _id in ids
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}
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words_paths = {_id: list(filter(lambda path: os.path.isfile(path), words_paths[_id])) for _id in ids}
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@@ -520,10 +520,7 @@ class AMI(datasets.GeneratorBasedBuilder):
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# segments
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segments_paths = {
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_id: [
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os.path.join(annotation_path, "segments/{}.{}.segments.xml".format(_id, speaker))
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for speaker in _SPEAKERS
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]
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for _id in ids
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}
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segments_paths = {_id: list(filter(lambda path: os.path.isfile(path), segments_paths[_id])) for _id in ids}
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def _split_generators(self, dl_manager):
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# multi-processing doesn't work for AMI
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+
if hasattr(dl_manager, "download_config") and dl_manager.download_config.num_proc != 1:
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logger.warning(
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"AMI corpus cannot be downloaded using multi-processing. "
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"Setting number of downloaded processes `num_proc` to 1. "
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)
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+
dl_manager.download_config.num_proc = 1
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annotation_path = dl_manager.download_and_extract(_DL_URL_ANNOTATIONS)
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# words
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words_paths = {
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+
_id: [os.path.join(annotation_path, f"words/{_id}.{speaker}.words.xml") for speaker in _SPEAKERS]
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for _id in ids
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}
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words_paths = {_id: list(filter(lambda path: os.path.isfile(path), words_paths[_id])) for _id in ids}
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# segments
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segments_paths = {
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+
_id: [os.path.join(annotation_path, f"segments/{_id}.{speaker}.segments.xml") for speaker in _SPEAKERS]
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for _id in ids
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}
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segments_paths = {_id: list(filter(lambda path: os.path.isfile(path), segments_paths[_id])) for _id in ids}
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