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import pandas as pd |
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import datasets |
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CSV_PATH = "./biovdb_1000.csv" |
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CITATION = """ |
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""" |
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class CustomDataset(datasets.GeneratorBasedBuilder): |
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VERSION = datasets.Version("1.0.0") |
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BUILDER_CONFIGS = [] |
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def _info(self): |
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return datasets.DatasetInfo( |
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description="Test set of ~1000 samples from GEO", |
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citation=CITATION, |
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homepage="", |
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) |
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def _split_generators(self, dl_manager): |
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data = pd.read_csv(CSV_PATH) |
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unique_series_ids = data['series_id'].unique() |
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for series_id in unique_series_ids: |
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self.BUILDER_CONFIGS.append( |
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datasets.BuilderConfig( |
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name=str(series_id), |
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version=datasets.Version("1.0.0"), |
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description=f"Dataset for series_id {series_id}" |
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) |
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) |
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return [ |
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datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={ |
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"data": data[data['series_id'] == self.config.name] |
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}), |
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] |
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def _generate_examples(self, data): |
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metadata_columns = data.columns[:40] |
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expression_columns = data.columns[40:] |
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for idx, row in data.iterrows(): |
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yield idx, { |
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"data": row[expression_columns].values.tolist(), |
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"metadata": row[metadata_columns].to_dict() |
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} |
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if __name__ == '__main__': |
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ds = datasets.load_dataset("./biovdb_1000.py", "GSE52", split='train') |
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