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"""Dev-Stanford dataset by Çelebi et al.."""
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import datasets
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_CITATION = """
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@article{celebi2018segmenting,
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title={Segmenting hashtags and analyzing their grammatical structure},
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author={Celebi, Arda and {\"O}zg{\"u}r, Arzucan},
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journal={Journal of the Association for Information Science and Technology},
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volume={69},
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number={5},
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pages={675--686},
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year={2018},
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publisher={Wiley Online Library}
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}
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"""
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_DESCRIPTION = """
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1000 hashtags manually segmented by Çelebi et al. for development purposes,
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randomly selected from the Stanford Sentiment Tweet Corpus by Sentiment140.
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"""
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_URLS = {
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"dev": "https://raw.githubusercontent.com/ardax/hashtag-segmentor/master/Dev-Stanford"
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}
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class DevStanford(datasets.GeneratorBasedBuilder):
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VERSION = datasets.Version("1.0.0")
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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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"index": datasets.Value("int32"),
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"hashtag": datasets.Value("string"),
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"segmentation": datasets.Value("string")
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}
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),
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supervised_keys=None,
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homepage="https://tabilab.cmpe.boun.edu.tr/projects/hashtag_segmentation/",
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citation=_CITATION,
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)
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def _split_generators(self, dl_manager):
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downloaded_files = dl_manager.download(_URLS)
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return [
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datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["dev"] })
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]
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def _generate_examples(self, filepath):
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with open(filepath, 'r') as f:
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for idx, line in enumerate(f):
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yield idx, {
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"index": idx,
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"hashtag": line.strip().replace(" ", ""),
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"segmentation": line.strip()
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} |
