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