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import csv |
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import os |
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import datasets |
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logger = datasets.logging.get_logger(__name__) |
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_CITATION = """\ |
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@inproceedings{pudo23_interspeech, |
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author={Mikołaj Pudo and Mateusz Wosik and Adam Cieślak and Justyna Krzywdziak and Bożena Łukasiak and Artur Janicki}, |
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title={{MOCKS} 1.0: Multilingual Open Custom Keyword Spotting Testset}, |
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year={2023}, |
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booktitle={Proc. Interspeech 2023}, |
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} |
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""" |
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_DESCRIPTION = """\ |
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Multilingual Open Custom Keyword Spotting Testset (MOCKS) is a comprehensive |
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audio testset for evaluation and benchmarking Open-Vocabulary Keyword Spotting (OV-KWS) models. |
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""" |
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_BASE_URL = "https://huggingface.co/datasets/voiceintelligenceresearch/MOCKS/tree/main" |
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_DL_URLS = { |
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"de.MCV": { |
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"offline": "de/MCV/test/offline/data.tar.gz", |
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"online": "de/MCV/test/online/data.tar.gz", |
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"offline_transcription" : "de/MCV/test/data_offline_transcription.tsv", |
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"online_transcription" : "de/MCV/test/data_online_transcription.tsv", |
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}, |
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"en.LS-clean": { |
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"offline": "en/LS-clean/test/offline/data.tar.gz", |
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"online": "en/LS-clean/test/online/data.tar.gz", |
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"offline_transcription" : "en/LS-clean/test/data_offline_transcription.tsv", |
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"online_transcription" : "en/LS-clean/test/data_online_transcription.tsv", |
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}, |
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"en.LS-other": { |
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"offline": "en/LS-other/test/offline/data.tar.gz", |
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"online": "en/LS-other/test/online/data.tar.gz", |
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"offline_transcription" : "en/LS-other/test/data_offline_transcription.tsv", |
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"online_transcription" : "en/LS-other/test/data_online_transcription.tsv", |
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}, |
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"en.MCV": { |
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"offline": "en/MCV/test/offline/data.tar.gz", |
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"online": "en/MCV/test/online/data.tar.gz", |
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"offline_transcription" : "en/MCV/test/data_offline_transcription.tsv", |
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"online_transcription" : "en/MCV/test/data_online_transcription.tsv", |
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}, |
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"es.MCV": { |
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"offline": "es/MCV/test/offline/data.tar.gz", |
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"online": "es/MCV/test/online/data.tar.gz", |
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"offline_transcription" : "es/MCV/test/data_offline_transcription.tsv", |
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"online_transcription" : "es/MCV/test/data_online_transcription.tsv", |
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}, |
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"fr.MCV": { |
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"offline": "fr/MCV/test/offline/data.tar.gz", |
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"online": "fr/MCV/test/online/data.tar.gz", |
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"offline_transcription": "fr/MCV/test/data_offline_transcription.tsv", |
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"online_transcription": "fr/MCV/test/data_online_transcription.tsv", |
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}, |
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"it.MCV": { |
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"offline": "it/MCV/test/offline/data.tar.gz", |
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"online": "it/MCV/test/online/data.tar.gz", |
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"offline_transcription": "it/MCV/test/data_offline_transcription.tsv", |
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"online_transcription": "it/MCV/test/data_online_transcription.tsv", |
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}, |
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"all": { |
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"de.MCV.offline": "de/MCV/test/offline/data.tar.gz", |
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"de.MCV.online": "de/MCV/test/online/data.tar.gz", |
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"en.LS-clean.offline": "en/LS-clean/test/offline/data.tar.gz", |
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"en.LS-clean.online": "en/LS-clean/test/online/data.tar.gz", |
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"en.LS-other.offline": "en/LS-other/test/offline/data.tar.gz", |
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"en.LS-other.online": "en/LS-other/test/online/data.tar.gz", |
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"en.MCV.offline": "en/MCV/test/offline/data.tar.gz", |
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"en.MCV.online": "en/MCV/test/online/data.tar.gz", |
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"es.MCV.offline": "es/MCV/test/offline/data.tar.gz", |
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"es.MCV.online": "es/MCV/test/online/data.tar.gz", |
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"fr.MCV.offline": "fr/MCV/test/offline/data.tar.gz", |
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"fr.MCV.online": "fr/MCV/test/online/data.tar.gz", |
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"it.MCVoffline": "it/MCV/test/offline/data.tar.gz", |
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"it.MCV.online": "it/MCV/test/online/data.tar.gz", |
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"de.MCV.offline_transcription": "de/MCV/test/data_offline_transcription.tsv", |
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"de.MCV.online_transcription": "de/MCV/test/data_online_transcription.tsv", |
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"en.LS-clean.offline_transcription": "en/LS-clean/test/data_offline_transcription.tsv", |
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"en.LS-clean.online_transcription": "en/LS-clean/test/data_online_transcription.tsv", |
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"en.LS-other.offline_transcription": "en/LS-other/test/data_offline_transcription.tsv", |
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"en.LS-other.online_transcription": "en/LS-other/test/data_online_transcription.tsv", |
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"en.MCV.offline_transcription": "en/MCV/test/data_offline_transcription.tsv", |
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"en.MCVonline_transcription": "en/MCV/test/data_online_transcription.tsv", |
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"es.MCV.offline_transcription": "es/MCV/test/data_offline_transcription.tsv", |
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"es.MCV.online_transcription": "es/MCV/test/data_online_transcription.tsv", |
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"fr.MCV.offline_transcription": "fr/MCV/test/data_offline_transcription.tsv", |
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"fr.MCV.online_transcription": "fr/MCV/test/data_online_transcription.tsv", |
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"it.MCV.offline_transcription": "it/MCV/test/data_offline_transcription.tsv", |
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"it.MCV.online_transcription": "it/MCV/test/data_online_transcription.tsv", |
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} |
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} |
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class Mocks(datasets.GeneratorBasedBuilder): |
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"""Mocks Dataset.""" |
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DEFAULT_CONFIG_NAME = "all" |
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BUILDER_CONFIGS = [ |
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datasets.BuilderConfig(name="de.MCV", description="German Mozilla Common Voice."), |
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datasets.BuilderConfig(name="en.LS-clean", description="English LibriSpeech 'Clean'."), |
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datasets.BuilderConfig(name="en.LS-other", description="English LibriSpeech 'Other'."), |
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datasets.BuilderConfig(name="en.MCV", description="English Mozilla Common Voice."), |
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datasets.BuilderConfig(name="es.MCV", description="Spanish Mozilla Common Voice."), |
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datasets.BuilderConfig(name="fr.MCV", description="French Mozilla Common Voice."), |
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datasets.BuilderConfig(name="it.MCV", description="Italian Mozilla Common Voice."), |
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datasets.BuilderConfig(name="all", description="All test set."), |
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] |
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def _info(self): |
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return datasets.DatasetInfo( |
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description=_DESCRIPTION, |
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features=datasets.Features( |
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{ |
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"audio_id": datasets.Value("string"), |
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"audio": datasets.Audio(sampling_rate=16_000), |
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"transcription": datasets.Value("string"), |
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} |
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), |
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homepage=_BASE_URL, |
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citation=_CITATION |
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) |
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def _split_generators(self, dl_manager): |
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archive_path = dl_manager.download(_DL_URLS[self.config.name]) |
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if self.config.name == "de.MCV": |
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offline_split = [ |
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datasets.SplitGenerator( |
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name="offline", |
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gen_kwargs={ |
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"audio_files": dl_manager.iter_archive(archive_path["offline"]), |
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"transcription": archive_path["offline_transcription"], |
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"s_type": "offline" |
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} |
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) |
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] |
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online_split = [ |
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datasets.SplitGenerator( |
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name="online", |
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gen_kwargs={ |
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"audio_files": dl_manager.iter_archive(archive_path["online"]), |
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"transcription": archive_path["online_transcription"], |
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"s_type": "online" |
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} |
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) |
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] |
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elif self.config.name == "en.LS-clean": |
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offline_split = [ |
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datasets.SplitGenerator( |
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name="offline", |
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gen_kwargs={ |
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"audio_files": dl_manager.iter_archive(archive_path["offline"]), |
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"transcription": archive_path["offline_transcription"], |
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"s_type": "offline" |
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} |
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) |
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] |
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online_split = [ |
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datasets.SplitGenerator( |
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name="online", |
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gen_kwargs={ |
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"audio_files": dl_manager.iter_archive(archive_path["online"]), |
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"transcription": archive_path["online_transcription"], |
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"s_type": "online" |
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} |
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) |
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] |
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elif self.config.name == "en.LS-other": |
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offline_split = [ |
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datasets.SplitGenerator( |
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name="offline", |
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gen_kwargs={ |
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"audio_files": dl_manager.iter_archive(archive_path["offline"]), |
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"transcription": archive_path["offline_transcription"], |
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"s_type": "offline" |
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} |
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) |
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] |
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online_split = [ |
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datasets.SplitGenerator( |
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name="online", |
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gen_kwargs={ |
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"audio_files": dl_manager.iter_archive(archive_path["online"]), |
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"transcription": archive_path["online_transcription"], |
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"s_type": "online" |
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} |
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) |
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] |
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elif self.config.name == "en.MCV": |
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offline_split = [ |
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datasets.SplitGenerator( |
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name="offline", |
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gen_kwargs={ |
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"audio_files": dl_manager.iter_archive(archive_path["offline"]), |
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"transcription": archive_path["offline_transcription"], |
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"s_type": "offline" |
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} |
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) |
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] |
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online_split = [ |
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datasets.SplitGenerator( |
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name="online", |
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gen_kwargs={ |
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"audio_files": dl_manager.iter_archive(archive_path["online"]), |
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"transcription": archive_path["online_transcription"], |
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"s_type": "online" |
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} |
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) |
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] |
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elif self.config.name == "es.MCV": |
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offline_split = [ |
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datasets.SplitGenerator( |
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name="offline", |
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gen_kwargs={ |
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"local_extracted_archive": local_extracted_archive.get("offline"), |
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"audio_files": dl_manager.iter_archive(archive_path["offline"]), |
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"transcription": archive_path["offline_transcription"], |
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"s_type": "offline" |
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} |
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) |
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] |
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online_split = [ |
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datasets.SplitGenerator( |
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name="online", |
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gen_kwargs={ |
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"audio_files": dl_manager.iter_archive(archive_path["online"]), |
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"transcription": archive_path["online_transcription"], |
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"s_type": "online" |
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} |
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) |
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] |
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|
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elif self.config.name == "fr.MCV": |
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offline_split = [ |
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datasets.SplitGenerator( |
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name="offline", |
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gen_kwargs={ |
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"audio_files": dl_manager.iter_archive(archive_path["offline"]), |
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"transcription": archive_path["offline_transcription"], |
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"s_type": "offline" |
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} |
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) |
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] |
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online_split = [ |
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datasets.SplitGenerator( |
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name="online", |
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gen_kwargs={ |
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"audio_files": dl_manager.iter_archive(archive_path["online"]), |
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"transcription": archive_path["online_transcription"], |
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"s_type": "online" |
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} |
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) |
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] |
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elif self.config.name == "it.MCV": |
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offline_split = [ |
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datasets.SplitGenerator( |
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name="offline", |
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gen_kwargs={ |
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"audio_files": dl_manager.iter_archive(archive_path["offline"]), |
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"transcription": archive_path["offline_transcription"], |
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"s_type": "offline" |
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} |
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) |
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] |
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online_split = [ |
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datasets.SplitGenerator( |
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name="online", |
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gen_kwargs={ |
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"audio_files": dl_manager.iter_archive(archive_path["online"]), |
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"transcription": archive_path["online_transcription"], |
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"s_type": "online" |
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} |
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) |
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] |
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|
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elif self.config.name == "all": |
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offline_split = [ |
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datasets.SplitGenerator( |
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name="de.MCV.offline", |
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gen_kwargs={ |
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"audio_files": dl_manager.iter_archive(archive_path["de.MCV.offline"]), |
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"transcription": archive_path["de.MCV.offline_transcription"], |
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"s_type": "offline" |
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} |
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), |
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datasets.SplitGenerator( |
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name="en.LS-clean.offline", |
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gen_kwargs={ |
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"audio_files": dl_manager.iter_archive(archive_path["en.LS-clean.offline"]), |
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"transcription": archive_path["en.LS-clean.offline_transcription"], |
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"s_type": "offline" |
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} |
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), |
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datasets.SplitGenerator( |
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name="en.LS-other.offline", |
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gen_kwargs={ |
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"audio_files": dl_manager.iter_archive(archive_path["en.LS-other.offline"]), |
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"transcription": archive_path["en.LS-other.offline_transcription"], |
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"s_type": "offline" |
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} |
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), |
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datasets.SplitGenerator( |
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name="en.MCV.offline", |
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gen_kwargs={ |
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"audio_files": dl_manager.iter_archive(archive_path["en.MCV.offline"]), |
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"transcription": archive_path["en.MCV.offline_transcription"], |
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"s_type": "offline" |
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} |
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), |
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datasets.SplitGenerator( |
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name="es.MCV.offline", |
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gen_kwargs={ |
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"audio_files": dl_manager.iter_archive(archive_path["es.MCV.offline"]), |
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"transcription": archive_path["es.MCV.offline_transcription"], |
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"s_type": "offline" |
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} |
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), |
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datasets.SplitGenerator( |
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name="fr.MCV.offline", |
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gen_kwargs={ |
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"audio_files": dl_manager.iter_archive(archive_path["fr.MCV.offline"]), |
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"transcription": archive_path["fr.MCV.offline_transcription"], |
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"s_type": "offline" |
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} |
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), |
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datasets.SplitGenerator( |
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name="it.MCV.offline", |
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gen_kwargs={ |
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"audio_files": dl_manager.iter_archive(archive_path["it.MCV.offline"]), |
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"transcription": archive_path["it.MCV.offline_transcription"], |
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"s_type": "offline" |
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} |
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) |
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] |
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online_split = [ |
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datasets.SplitGenerator( |
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name="de.MCV.online", |
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gen_kwargs={ |
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"transcription": archive_path["de.MCV.offline_transconline"], |
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"s_type": "online" |
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} |
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), |
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datasets.SplitGenerator( |
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name="en.LS-clean.online", |
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gen_kwargs={ |
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"audio_files": dl_manager.iter_archive(archive_path["en.LS-clean.online"]), |
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"transcription": archive_path["en.LS-clean.online_transcription"], |
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"s_type": "online" |
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} |
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), |
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datasets.SplitGenerator( |
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name="en.LS-other.online", |
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gen_kwargs={ |
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"audio_files": dl_manager.iter_archive(archive_path["en.LS-other.online"]), |
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"transcription": archive_path["en.LS-other.online_transcription"], |
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"s_type": "online" |
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} |
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), |
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datasets.SplitGenerator( |
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name="en.MCV.online", |
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gen_kwargs={ |
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"audio_files": dl_manager.iter_archive(archive_path["en.MCV.online"]), |
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"transcription": archive_path["en.MCV.online_transcription"], |
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"s_type": "online" |
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} |
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), |
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datasets.SplitGenerator( |
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name="es.MCV.online", |
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gen_kwargs={ |
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"audio_files": dl_manager.iter_archive(archive_path["es.MCV.online"]), |
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"transcription": archive_path["es.MCV.online_transcription"], |
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"s_type": "online" |
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} |
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), |
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datasets.SplitGenerator( |
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name="fr.MCV.online", |
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gen_kwargs={ |
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"audio_files": dl_manager.iter_archive(archive_path["fr.MCV.online"]), |
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"transcription": archive_path["fr.MCV.online_transcription"], |
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"s_type": "online" |
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} |
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), |
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datasets.SplitGenerator( |
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name="it.MCV.online", |
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gen_kwargs={ |
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"audio_files": dl_manager.iter_archive(archive_path["it.MCV.online"]), |
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"transcription": archive_path["it.MCV.online_transcription"], |
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"s_type": "online" |
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} |
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) |
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] |
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|
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return online_split + offline_split |
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|
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def _generate_examples(self, audio_files, transcription, s_type): |
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"""Lorem ipsum.""" |
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metadata = {} |
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with open(transcription, encoding="utf-8") as f: |
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f = csv.reader(f, delimiter="\t") |
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for row in f: |
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audio_id = row[0].split("/")[-1] |
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keyword_transcription = row[1] |
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metadata[audio_id] = {"audio_id": audio_id, "transcription": keyword_transcription} |
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|
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id_ = 0 |
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for path, f in audio_files: |
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_, audio_name = os.path.split(path) |
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if audio_name in metadata: |
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audio = {"bytes": f.read()} |
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yield id_, {**metadata[audio_name], "audio": audio} |
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id_ +=1 |
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|
