Update multilingual-TEDX-fr.py
Browse files- multilingual-TEDX-fr.py +4 -4
multilingual-TEDX-fr.py
CHANGED
@@ -89,7 +89,7 @@ class TEDX(datasets.GeneratorBasedBuilder):
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def _split_by_audio_file(self, segments_path: str, sentences_path: str, split_name: str) -> Tuple[List[str], List[List[Utterance]]]:
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speaker_paths = []
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seen_ids = set()
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-
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with open(segments_path, "r") as segments, open(sentences_path) as sentences:
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segments_reader = csv.DictReader(segments, delimiter=' ', fieldnames=["segment_id", "speaker_id", "start_timestamp", "end_timestamp"])
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sentences_list = sentences.readlines()
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@@ -97,14 +97,14 @@ class TEDX(datasets.GeneratorBasedBuilder):
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if segment["speaker_id"] not in seen_ids:
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seen_ids.add(segment["speaker_id"])
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speaker_paths.append(Path("data") / Path(split_name) / Path("wav") / Path(f"{segment['speaker_id']}.flac"))
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index=int(segment["segment_id"].split("_")[1]),
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sentence=sentence,
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start_timestamp=segment["segment_start_timestamp"],
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end_timestamp=segment["segment_end_timestamp"]
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))
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return speaker_paths,
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def _split_by_audio_file(self, segments_path: str, sentences_path: str, split_name: str) -> Tuple[List[str], List[List[Utterance]]]:
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speaker_paths = []
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seen_ids = set()
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+
segments_by_speaker = []
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with open(segments_path, "r") as segments, open(sentences_path) as sentences:
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segments_reader = csv.DictReader(segments, delimiter=' ', fieldnames=["segment_id", "speaker_id", "start_timestamp", "end_timestamp"])
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sentences_list = sentences.readlines()
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if segment["speaker_id"] not in seen_ids:
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seen_ids.add(segment["speaker_id"])
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speaker_paths.append(Path("data") / Path(split_name) / Path("wav") / Path(f"{segment['speaker_id']}.flac"))
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segments_by_speaker.append([])
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segments_by_speaker[-1].append(Utterance(speaker_id=segment["speaker_id"],
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index=int(segment["segment_id"].split("_")[1]),
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sentence=sentence,
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start_timestamp=segment["segment_start_timestamp"],
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end_timestamp=segment["segment_end_timestamp"]
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))
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+
return speaker_paths, segments_by_speaker
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