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"""Hausa VOA News Topic Classification dataset.""" |
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import csv |
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import datasets |
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from datasets.tasks import TextClassification |
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_DESCRIPTION = """\ |
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A collection of news article headlines in Hausa from VOA Hausa. |
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Each headline is labeled with one of the following classes: Nigeria, |
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Africa, World, Health or Politics. |
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The dataset was presented in the paper: |
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Hedderich, Adelani, Zhu, Alabi, Markus, Klakow: Transfer Learning and |
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Distant Supervision for Multilingual Transformer Models: A Study on |
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African Languages (EMNLP 2020). |
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""" |
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_CITATION = """\ |
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@inproceedings{hedderich-etal-2020-transfer, |
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title = "Transfer Learning and Distant Supervision for Multilingual Transformer Models: A Study on African Languages", |
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author = "Hedderich, Michael A. and |
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Adelani, David and |
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Zhu, Dawei and |
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Alabi, Jesujoba and |
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Markus, Udia and |
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Klakow, Dietrich", |
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booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)", |
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year = "2020", |
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publisher = "Association for Computational Linguistics", |
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url = "https://www.aclweb.org/anthology/2020.emnlp-main.204", |
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doi = "10.18653/v1/2020.emnlp-main.204", |
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} |
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""" |
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_TRAIN_DOWNLOAD_URL = "https://raw.githubusercontent.com/uds-lsv/transfer-distant-transformer-african/master/data/hausa_newsclass/train_clean.tsv" |
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_VALIDATION_DOWNLOAD_URL = "https://raw.githubusercontent.com/uds-lsv/transfer-distant-transformer-african/master/data/hausa_newsclass/dev.tsv" |
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_TEST_DOWNLOAD_URL = "https://raw.githubusercontent.com/uds-lsv/transfer-distant-transformer-african/master/data/hausa_newsclass/test.tsv" |
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class HausaVOATopics(datasets.GeneratorBasedBuilder): |
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"""Hausa VOA News Topic Classification dataset.""" |
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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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"news_title": datasets.Value("string"), |
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"label": datasets.features.ClassLabel(names=["Africa", "Health", "Nigeria", "Politics", "World"]), |
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} |
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), |
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homepage="https://github.com/uds-lsv/transfer-distant-transformer-african", |
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citation=_CITATION, |
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task_templates=[TextClassification(text_column="news_title", label_column="label")], |
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) |
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def _split_generators(self, dl_manager): |
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train_path = dl_manager.download_and_extract(_TRAIN_DOWNLOAD_URL) |
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validation_path = dl_manager.download_and_extract(_VALIDATION_DOWNLOAD_URL) |
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test_path = dl_manager.download_and_extract(_TEST_DOWNLOAD_URL) |
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return [ |
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datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": train_path}), |
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datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": validation_path}), |
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datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": test_path}), |
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] |
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def _generate_examples(self, filepath): |
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"""Generate Hausa VOA News Topic examples.""" |
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with open(filepath, encoding="utf-8") as csv_file: |
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csv_reader = csv.DictReader(csv_file, delimiter="\t") |
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for id_, row in enumerate(csv_reader): |
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yield id_, {"news_title": row["news_title"], "label": row["label"]} |
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