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from typing import Any, Dict, Optional |
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from swift.llm import DatasetMeta, ResponsePreprocessor, load_dataset, register_dataset |
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class CustomPreprocessor(ResponsePreprocessor): |
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prompt = """Task: Based on the given two sentences, provide a similarity score between 0.0 and 5.0. |
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Sentence 1: {text1} |
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Sentence 2: {text2} |
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Similarity score: """ |
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def preprocess(self, row: Dict[str, Any]) -> Optional[Dict[str, Any]]: |
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return super().preprocess({ |
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'query': self.prompt.format(text1=row['text1'], text2=row['text2']), |
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'response': f"{row['label']:.1f}" |
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}) |
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register_dataset( |
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DatasetMeta( |
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ms_dataset_id='swift/stsb', |
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hf_dataset_id='SetFit/stsb', |
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preprocess_func=CustomPreprocessor(), |
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)) |
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if __name__ == '__main__': |
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dataset = load_dataset(['swift/stsb'])[0] |
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print(f'dataset: {dataset}') |
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print(f'dataset[0]: {dataset[0]}') |
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