Datasets:
add columns for different transcription config options
Browse files- data/test_metadata.jsonl +0 -0
- data/train_metadata.jsonl +0 -0
- data/validation_metadata.jsonl +0 -0
- preprocess_transcriptions.py +4 -4
data/test_metadata.jsonl
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data/train_metadata.jsonl
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data/validation_metadata.jsonl
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preprocess_transcriptions.py
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@@ -23,7 +23,7 @@ def bracket_metatags(text):
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def remove_metatags(text):
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"""Remove metatags for hesitations, laughter, paralinguistic sounds etc."""
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return re.sub(r"%\w
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def remove_percentage_sign(text):
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"""Remove percentage sign."""
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@@ -58,7 +58,7 @@ def normalize_transcription(transcription: str, config="annotations"):
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"""Normalize transcriptions according to orthographic standards, or verbatim."""
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t = transcription
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if config == "annotations":
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# Nothing do, return as is
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return t
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if config == "orthographic":
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t = remove_metatags(t)
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@@ -70,9 +70,9 @@ def normalize_transcription(transcription: str, config="annotations"):
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t = bracket_metatags(t)
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t = remove_percentage_sign(t)
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t = remove_pound_sign(t)
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t = re.sub(r"C_O-to", "C O to", t)
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t = filter_backslash(t, left=True)
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t = remove_punctuation(t)
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# For both, at the end:
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t = replace_underscore(t)
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return t
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def remove_metatags(text):
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"""Remove metatags for hesitations, laughter, paralinguistic sounds etc."""
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return re.sub(r"%\w+\s", "", text)
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def remove_percentage_sign(text):
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"""Remove percentage sign."""
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"""Normalize transcriptions according to orthographic standards, or verbatim."""
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t = transcription
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if config == "annotations":
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# Nothing to do, return as is
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return t
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if config == "orthographic":
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t = remove_metatags(t)
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t = bracket_metatags(t)
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t = remove_percentage_sign(t)
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t = remove_pound_sign(t)
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t = re.sub(r"C_O-to", "C O to", t) ## NB! "dette C_O-to-pro..." becomes "dette C O topros..."
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# TODO: handle hyphens instead of removing them?
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t = filter_backslash(t, left=True)
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t = remove_punctuation(t)
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t = replace_underscore(t)
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return t
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