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"""SNAP dataset"""
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import datasets
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_CITATION = """
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@inproceedings{celebi2016segmenting,
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title={Segmenting hashtags using automatically created training data},
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author={Celebi, Arda and {\"O}zg{\"u}r, Arzucan},
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booktitle={Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)},
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pages={2981--2985},
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year={2016}
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}
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"""
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_DESCRIPTION = """
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Automatically segmented 803K SNAP Twitter Data Set hashtags with the heuristic described in the paper "Segmenting hashtags using automatically created training data".
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"""
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_URL = "https://raw.githubusercontent.com/ruanchaves/hashformers/master/datasets/SNAP.Hashtags.Segmented.w.Heuristics.txt"
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class Snap(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://github.com/ardax/hashtag-segmentor",
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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(_URL)
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return [
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datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files}),
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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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} |
