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from pathlib import Path |
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import json |
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import logging |
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import datasets |
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import lingua |
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logger = logging.getLogger(__name__) |
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logging.basicConfig(level=logging.INFO) |
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language_detector = lingua.LanguageDetectorBuilder.from_languages( |
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lingua.Language.ENGLISH, |
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lingua.Language.SPANISH, |
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lingua.Language.GERMAN, |
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lingua.Language.FRENCH, |
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).build() |
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fixes = [] |
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language_cache = {} |
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for path in sorted(Path(".").glob("**/metadata.jsonl")): |
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dataset = datasets.load_dataset( |
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"json", |
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data_files=str(path), |
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split="train", |
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) |
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for record in dataset: |
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cache_key = (record["song_name"], record["text"].strip()) |
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if cache_key in language_cache: |
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language = language_cache[cache_key] |
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else: |
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language = record["language"] |
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detected_languages = { |
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x.language.iso_code_639_1.name.lower(): x.value |
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for x in language_detector.compute_language_confidence_values( |
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record["text"] |
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) |
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} |
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detected_languages = { |
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lg: p for lg, p in detected_languages.items() if p > 0.4 |
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} |
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if record["language"] not in detected_languages: |
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print( |
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f"{record['song_name']}: Detected languages {detected_languages} instead of " |
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f"{repr(language)} for line:\n{record['text'].strip()}" |
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) |
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language = input(f"Enter language [{language}]: ").strip() or language |
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print() |
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language_cache[cache_key] = language |
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if language != record["song_language"]: |
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fixes.append( |
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{ |
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"file_name": record["file_name"], |
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"text": record["text"], |
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"language": language, |
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} |
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) |
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Path("language_fixes.jsonl").write_text( |
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"\n".join(json.dumps(f) for f in fixes) + "\n", encoding="utf-8" |
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) |
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