| | |
| | 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]}') |
| |
|
