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import os |
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from pdb import set_trace |
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import datasets |
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import pandas as pd |
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_CITATION = """\ |
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Put your dataset citation here. |
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""" |
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_DESCRIPTION = """\ |
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Description of your dataset goes here. |
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""" |
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_HOMEPAGE = "https://your-dataset-homepage.com" |
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_LICENSE = "License information goes here." |
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class Test(datasets.GeneratorBasedBuilder): |
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"""Your dataset description""" |
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BUILDER_CONFIGS = [ |
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datasets.BuilderConfig( |
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name="customers", |
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version=datasets.Version("1.0.0"), |
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description="This is subset A"), |
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datasets.BuilderConfig( |
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name="products", |
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version=datasets.Version("1.0.0"), |
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description="This is subset B"), |
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] |
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def _info(self): |
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if self.config.name == "customers": |
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features = datasets.Features( |
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{ |
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"customer_id": datasets.Value("int64"), |
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"name": datasets.Value("string"), |
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"age": datasets.Value("int64"), |
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} |
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) |
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elif self.config.name == "products": |
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features = datasets.Features( |
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{ |
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"product_id": datasets.Value("int64"), |
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"name": datasets.Value("string"), |
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"price": datasets.Value("double"), |
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} |
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) |
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else: |
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raise ValueError(f"Unknown subset: {self.config.name}") |
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return datasets.DatasetInfo( |
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description=_DESCRIPTION, |
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features=features, |
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supervised_keys=None, |
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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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data_dir = dl_manager.manual_dir or "./" |
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data_dir = os.path.join(data_dir, self.config.name) |
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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={"filepath": os.path.join(data_dir, "train.csv")}, |
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), |
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datasets.SplitGenerator( |
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name=datasets.Split.VALIDATION, |
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gen_kwargs={"filepath": os.path.join(data_dir, "val.csv")}, |
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), |
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datasets.SplitGenerator( |
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name=datasets.Split.TEST, |
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gen_kwargs={"filepath": os.path.join(data_dir, "test.csv")}, |
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), |
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] |
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def _generate_examples(self, filepath): |
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with open(filepath, encoding="utf-8") as f: |
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df = pd.read_csv(filepath, index_col=0) |
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for id_, item in df.iterrows(): |
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yield id_, item.to_dict() |
