chore: import upstream snapshot with attribution

2026-07-13 13:34:58 +08:00
commit a203934033
1368 changed files with 175001 additions and 0 deletions
@@ -0,0 +1,30 @@
+# Copyright (c) ModelScope Contributors. All rights reserved.
+from typing import Any, Dict, Optional
+
+from swift.dataset 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]}')