Datasets:
Update files from the datasets library (from 1.10.0)
Browse filesRelease notes: https://github.com/huggingface/datasets/releases/tag/1.10.0
- README.md +2 -2
- librispeech_asr.py +12 -11
README.md
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@@ -17,9 +17,9 @@ size_categories:
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source_datasets:
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- original
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task_categories:
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-
-
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task_ids:
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-
- speech-recognition
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---
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# Dataset Card for librispeech_asr
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source_datasets:
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- original
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task_categories:
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- speech-processing
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task_ids:
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- automatic-speech-recognition
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---
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# Dataset Card for librispeech_asr
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librispeech_asr.py
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@@ -135,21 +135,22 @@ class LibrispeechASR(datasets.GeneratorBasedBuilder):
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]
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def _generate_examples(self, archive_path):
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"""Generate examples from a
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transcripts_glob = os.path.join(archive_path, "LibriSpeech", "*/*/*/*.txt")
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for line in f:
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line = line.strip()
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audio_file = f"{
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speaker_id, chapter_id = [int(el) for el in
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"id":
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"speaker_id": speaker_id,
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"chapter_id": chapter_id,
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"file": os.path.join(
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"text": transcript,
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}
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-
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]
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def _generate_examples(self, archive_path):
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"""Generate examples from a LibriSpeech archive_path."""
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transcripts_glob = os.path.join(archive_path, "LibriSpeech", "*/*/*/*.txt")
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key = 0
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for transcript_path in sorted(glob.glob(transcripts_glob)):
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transcript_dir_path = os.path.dirname(transcript_path)
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with open(transcript_path, "r", encoding="utf-8") as f:
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for line in f:
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line = line.strip()
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id_, transcript = line.split(" ", 1)
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audio_file = f"{id_}.flac"
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speaker_id, chapter_id = [int(el) for el in id_.split("-")[:2]]
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yield key, {
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"id": id_,
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"speaker_id": speaker_id,
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"chapter_id": chapter_id,
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"file": os.path.join(transcript_dir_path, audio_file),
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"text": transcript,
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}
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key += 1
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