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import csv |
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import os |
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import datasets |
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_DESCRIPTION = """ |
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This is a dataset for Marvel universe social network, which contains the relationships between Marvel heroes. |
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""" |
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_CITATION = """\ |
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@article{alberich2002marvel, |
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title={Marvel Universe looks almost like a real social network}, |
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author={Alberich, Ricardo and Miro-Julia, Joe and Rossell{\'o}, Francesc}, |
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journal={arXiv preprint cond-mat/0202174}, |
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year={2002} |
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} |
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""" |
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_HOMEPAGE = "https://huggingface.co/datasets/ShimizuYuki/Marvel_network" |
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_LICENSE = "afl-3.0" |
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_URLS = { |
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"adjacency_list": "https://drive.google.com/uc?id=1wcINfLn25tMIVJcp6MtxSNR7QNF8GI_D", |
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"hero_hero_comic": "https://drive.google.com/uc?id=1wel0zjoa8GvBo255dlX7cVOPF9XbvQrI", |
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} |
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class Marvel(datasets.GeneratorBasedBuilder): |
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VERSION = datasets.Version("1.0.1") |
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BUILDER_CONFIGS = [ |
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datasets.BuilderConfig(name="adjacency_list", version=VERSION, description="This is a adjacency list for this network"), |
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datasets.BuilderConfig(name="hero_hero_comic", version=VERSION, description="This adds comic imformation to adjacency list"), |
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] |
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DEFAULT_CONFIG_NAME = "adjacency_list" |
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def _info(self): |
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if self.config.name == "adjacency_list": |
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features = datasets.Features( |
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{ |
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"hero1": datasets.Value("string"), |
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"hero2": datasets.Value("string"), |
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"counts": datasets.Value("int64") |
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} |
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) |
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else: |
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features = datasets.Features( |
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{ |
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"hero1": datasets.Value("string"), |
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"hero2": datasets.Value("string"), |
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"comic": datasets.Value("string") |
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} |
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) |
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return datasets.DatasetInfo( |
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description=_DESCRIPTION, |
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features=features, |
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homepage=_HOMEPAGE, |
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license=_LICENSE, |
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citation=_CITATION, |
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) |
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def _split_generators(self, dl_manager): |
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urls = _URLS[self.config.name] |
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data_file = dl_manager.download(urls) |
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return [ |
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datasets.SplitGenerator( |
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name = "train", |
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gen_kwargs = { |
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"filepath": data_file, |
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}, |
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) |
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] |
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def _generate_examples(self, filepath): |
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"""Generates examples as dictionaries.""" |
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with open(filepath, encoding="utf-8") as csv_file: |
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reader = csv.DictReader(csv_file) |
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for id_, row in enumerate(reader): |
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if self.config.name == "adjacency_list": |
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yield id_, { |
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"hero1": row["hero1"], |
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"hero2": row["hero2"], |
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"counts": int(row["counts"]), |
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} |
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else: |
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yield id_, { |
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"hero1": row["hero1"], |
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"hero2": row["hero2"], |
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"comic": row["comic"], |
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} |
