Update README.md

README.md

@@ -7,8 +7,12 @@ language:
 ---
 
 ```
+! pip install python-Levenshtein
+! pip install fuzzywuzzy
+
 import pandas as pd
 from datasets import load_dataset
+from fuzzywuzzy import fuzz
 
 dataset_name_list = [
     "mteb/sts12-sts",
@@ -35,6 +39,29 @@ for dataset_name, datasetDict in dataset_dict.items():
         df_list.append(df)
 df = pd.concat(df_list, axis=0)
 
+def text_sim(sent0, sent1):
+    is_str = False
+    if isinstance(sent0, str):
+        sent0 = [sent0]
+        sent1 = [sent1]
+        is_str = True
+    scores = []
+    for s1, s2 in zip(sent0, sent1):
+        set1 = set(s1.split(' '))
+        # print(set1)
+        set2 = set(s2.split(' '))
+        # print(set2)
+        # 计算交集和并集
+        intersection = set1.intersection(set2)
+        union = set1.union(set2)
+
+        # 计算雅可比相似度
+        similarity = len(intersection) / len(union)
+
+        scores.append(similarity )
+    return scores[0] if is_str else scores
+
+print(text_sim('hello', 'hello world'))
 
 df['text_sim'] = df.apply(lambda row :int(text_sim(row['sentence1'].lower(), row['sentence2'].lower()) * 100 + 0.5) / 100, axis=1)
 df['fuzz_sim'] = df.apply(lambda row :fuzz.ratio(row['sentence1'].lower(), row['sentence2'].lower()) / 100, axis=1)