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from datasets import Dataset, DatasetBuilder |
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import pandas as pd |
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class YourDataset(DatasetBuilder): |
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VERSION = "1.0.0" |
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def _info(self): |
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features = { |
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"source": "string", |
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"id": "string", |
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"text": "string", |
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"researcher": "string", |
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"year": "int", |
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"aggressive": "float", |
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"hate": "float", |
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} |
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return datasets.DatasetInfo(features=features) |
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def _split_generators(self, dl_manager): |
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return [] |
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def _generate_examples(self, file_path): |
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df = pd.read_csv(file_path) |
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for i, row in df.iterrows(): |
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yield i, { |
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"source": str(row["source"]), |
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"id": str(row["id"]), |
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"text": str(row["text"]), |
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"researcher": str(row["researcher"]), |
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"year": int(row["year"]), |
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"aggressive": float(row["aggressive"]), |
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"hate": float(row["hate"]), |
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} |
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file_path = "tupi_binary.csv" |
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your_dataset = Dataset.load_from_disk(file_path) |
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your_dataset.view() |
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