Update multilingual-TEDX-fr.py
Browse files- multilingual-TEDX-fr.py +5 -4
multilingual-TEDX-fr.py
CHANGED
@@ -123,7 +123,6 @@ class TEDX(datasets.GeneratorBasedBuilder):
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splitted_dataset = {}
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segments = dl_manager.download(segments)
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sentences = dl_manager.download(sentences)
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print(segments)
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for split in segments:
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audios_path, utterances = self._split_by_audio_file(segments[split], sentences[split], split)
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audios_path = dl_manager.download(audios_path)
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@@ -220,13 +219,15 @@ class TEDX(datasets.GeneratorBasedBuilder):
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audio = self.load_audio(audio_path)
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for utterance in self._merged_utterances_iterator(utterances):
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transcript_name = f"{utterance.speaker_id}-{utterance.index}"
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yield transcript_name, {
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"file": transcript_name,
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"index": utterance.index,
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"sentence": utterance.sentence,
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"start_timestamp":
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"end_timestamp":
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"speaker_id": utterance.speaker_id,
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"audio": {"path": transcript_name,
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"array": self._cut_audio(audio,
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"sampling_rate": SAMPLING_RATE}}
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splitted_dataset = {}
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segments = dl_manager.download(segments)
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sentences = dl_manager.download(sentences)
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for split in segments:
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audios_path, utterances = self._split_by_audio_file(segments[split], sentences[split], split)
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audios_path = dl_manager.download(audios_path)
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audio = self.load_audio(audio_path)
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for utterance in self._merged_utterances_iterator(utterances):
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transcript_name = f"{utterance.speaker_id}-{utterance.index}"
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start_timestamp = float(utterance.start_timestamp)
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end_timestamp = float(utterance.end_timestamp)
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yield transcript_name, {
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"file": transcript_name,
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"index": utterance.index,
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"sentence": utterance.sentence,
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"start_timestamp": start_timestamp,
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"end_timestamp": end_timestamp,
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"speaker_id": utterance.speaker_id,
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"audio": {"path": transcript_name,
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"array": self._cut_audio(audio, start_timestamp, end_timestamp),
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"sampling_rate": SAMPLING_RATE}}
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