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import datasets |
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_CITATION = """\ |
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@dataset{sadia_sultana_2021_4526477, |
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author = {Sadia Sultana}, |
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title = {SUST Bangla Emotional Speech Corpus (SUBESCO)}, |
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month = feb, |
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year = 2021, |
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note = {{This database was created as a part of PhD thesis |
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project of the author Sadia Sultana. It was |
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designed and developed by the author in the |
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Department of Computer Science and Engineering of |
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Shahjalal University of Science and Technology. |
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Financial grant was supported by the university. |
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If you use the dataset please cite SUBESCO and the |
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corresponding academic journal publication in Plos |
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One.}}, |
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publisher = {Zenodo}, |
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version = {version - 1.1}, |
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doi = {10.5281/zenodo.4526477}, |
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url = {https://doi.org/10.5281/zenodo.4526477} |
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} |
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""" |
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_DESCRIPTION = """\ |
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SUST Bangla Emotional Speech Coropus Dataset |
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""" |
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_HOMEPAGE = "https://huggingface.co/datasets/sustcsenlp/bn_emotion_speech_corpus" |
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_LICENSE = "" |
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class AudioSet(datasets.GeneratorBasedBuilder): |
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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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'text': datasets.Value("string"), |
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"audio": datasets.Audio(sampling_rate=16000), |
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} |
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), |
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supervised_keys=None, |
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homepage=_HOMEPAGE, |
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citation=_CITATION, |
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) |
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def _split_generators(self, dl_manager): |
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audio_archive = dl_manager.download("https://huggingface.co/datasets/sustcsenlp/bn_emotion_speech_corpus/resolve/main/subesco.tar.gz") |
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audio_iters = dl_manager.iter_archive(audio_archive) |
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return [ |
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datasets.SplitGenerator( |
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name=datasets.Split.TRAIN, |
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gen_kwargs={ |
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"audios": audio_iters |
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} |
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), |
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] |
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def _generate_examples(self, audios): |
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"""This function returns the examples in the raw (text) form.""" |
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idx = 0 |
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for filepath, audio in audios: |
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description = filepath.split('/')[-1][:-4] |
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yield idx, { |
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"audio": {"path": filepath, "bytes": audio.read()}, |
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"text": description, |
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} |
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idx += 1 |
