Update README.md

README.md

@@ -3,34 +3,124 @@ license: mit
 ---
 
 # GSM8K training set
-The original answer is "\n#### Value" and now is "\n#### Value\nThe answer is: Value", which is consistent with the answer format with "meta-math/MetaMathQA". 
+The original answer is "\n#### Value" and now is "\n#### Value\nThe answer is: Value", and the answer is cleaned, which is **consistent with the answer format with "meta-math/MetaMathQA"**. 
 
 # Dataset modification codes
 ```python
 # coding=utf-8
 
+import re
+
 import jsonlines
 from datasets import load_dataset, Features, Value
 
+
+def clean_up(sentence):
+    # Find the left 10 characters of each "<<"
+    matches = [match.start() for match in re.finditer(r'<<', sentence)]
+
+    for match in matches:
+        # Get the left 10 characters of each "<<"
+        left_chars = sentence[match-20:match]
+        modified_chars = sentence[match-20:match].replace('x', '*').replace('X', '*')
+
+        # Check if "x" or "X" is in the left 10 characters
+        if 'x' in left_chars or 'X' in left_chars:
+            # Replace "x" or "X" with "*"
+            sentence = sentence.replace(left_chars, modified_chars)
+
+    ##############################################################################################################
+
+    # Define a pattern to match text between "<< and >>"
+    pattern = r"<<(.*?)>>"
+
+    # Use re.sub to replace matched patterns with an empty string
+    sentence = re.sub(pattern, "", sentence)
+
+    ##############################################################################################################
+    # Find all occurrences of "*"
+    asterisks = [i for i, char in enumerate(sentence) if char == '*']
+
+    # Check and add spaces around "*"
+    for index in reversed(asterisks):
+        if index > 0 and index < len(sentence) - 1 and sentence[index - 1] != ' ' and sentence[index + 1] != ' ':
+            sentence = sentence[:index] + ' ' + sentence[index] + ' ' + sentence[index + 1:]
+        elif index > 0 and index < len(sentence) - 1 and sentence[index - 1] != ' ' and sentence[index + 1] == ' ':
+            sentence = sentence[:index] + ' ' + sentence[index] + sentence[index + 1:]
+        elif index > 0 and index < len(sentence) - 1 and sentence[index - 1] == ' ' and sentence[index + 1] != ' ':
+            sentence = sentence[:index] + sentence[index] + ' ' + sentence[index + 1:]
+
+    #
+    # Find all occurrences of "/"
+    asterisks = [i for i, char in enumerate(sentence) if char == '/']
+
+    # Check and add spaces around "*"
+    for index in reversed(asterisks):
+        if index > 0 and index < len(sentence) - 1 and sentence[index - 1] != ' ' and sentence[index + 1] != ' ':
+            sentence = sentence[:index] + ' ' + sentence[index] + ' ' + sentence[index + 1:]
+        elif index > 0 and index < len(sentence) - 1 and sentence[index - 1] != ' ' and sentence[index + 1] == ' ':
+            sentence = sentence[:index] + ' ' + sentence[index] + sentence[index + 1:]
+        elif index > 0 and index < len(sentence) - 1 and sentence[index - 1] == ' ' and sentence[index + 1] != ' ':
+            sentence = sentence[:index] + sentence[index] + ' ' + sentence[index + 1:]
+
+    #
+    # Find all occurrences of "+"
+    asterisks = [i for i, char in enumerate(sentence) if char == '+']
+
+    # Check and add spaces around "*"
+    for index in reversed(asterisks):
+        if index > 0 and index < len(sentence) - 1 and sentence[index - 1] != ' ' and sentence[index + 1] != ' ':
+            sentence = sentence[:index] + ' ' + sentence[index] + ' ' + sentence[index + 1:]
+        elif index > 0 and index < len(sentence) - 1 and sentence[index - 1] != ' ' and sentence[index + 1] == ' ':
+            sentence = sentence[:index] + ' ' + sentence[index] + sentence[index + 1:]
+        elif index > 0 and index < len(sentence) - 1 and sentence[index - 1] == ' ' and sentence[index + 1] != ' ':
+            sentence = sentence[:index] + sentence[index] + ' ' + sentence[index + 1:]
+
+    #
+    # Find all occurrences of "-"
+    asterisks = [i for i, char in enumerate(sentence) if char == '-']
+
+    # Check and add spaces around "-"
+    for index in reversed(asterisks):
+        if index > 0 and index < len(sentence) - 1 and sentence[index - 1] != ' ' and sentence[index + 1] != ' ':
+            sentence = sentence[:index] + ' ' + sentence[index] + ' ' + sentence[index + 1:]
+        elif index > 0 and index < len(sentence) - 1 and sentence[index - 1] != ' ' and sentence[index + 1] == ' ':
+            sentence = sentence[:index] + ' ' + sentence[index] + sentence[index + 1:]
+        elif index > 0 and index < len(sentence) - 1 and sentence[index - 1] == ' ' and sentence[index + 1] != ' ':
+            sentence = sentence[:index] + sentence[index] + ' ' + sentence[index + 1:]
+
+    # Find all occurrences of "="
+    asterisks = [i for i, char in enumerate(sentence) if char == '=']
+
+    # Check and add spaces around "="
+    for index in reversed(asterisks):
+        if index > 0 and index < len(sentence) - 1 and sentence[index - 1] != ' ' and sentence[index + 1] != ' ':
+            sentence = sentence[:index] + ' ' + sentence[index] + ' ' + sentence[index + 1:]
+        elif index > 0 and index < len(sentence) - 1 and sentence[index - 1] != ' ' and sentence[index + 1] == ' ':
+            sentence = sentence[:index] + ' ' + sentence[index] + sentence[index + 1:]
+        elif index > 0 and index < len(sentence) - 1 and sentence[index - 1] == ' ' and sentence[index + 1] != ' ':
+            sentence = sentence[:index] + sentence[index] + ' ' + sentence[index + 1:]
+
+    return sentence
+
+
 # Retrieve the path of training and testing databases
 context_feat = Features({"question": Value(dtype='string', id=None), "answer": Value(dtype='string', id=None)})
 train_set = load_dataset('json', data_files='train.jsonl', split='train', features=context_feat)
 
 data = []
 for example in train_set:
-    # Get the label answer
+    # Get the label answer --> gsm8k_answers
     number = example['answer'].split('#### ')[1]
     number = int(number.replace(',', ''))
-
-    # Append the "\nThe answer is: " and numerical answer
     append = "\nThe answer is: " + str(number)
     answer = example['answer'] + append
+    answer = clean_up(sentence=answer)
 
-    # Get the question and make the new question-answer pair
     question = example['question']
     data.append({"question": question, "answer": answer})
 
-# Save the modified data to a "jsonl" file
+# Save the modified data to a jsonl file
 output_file = 'gsm8k_train.jsonl'
 with jsonlines.open(output_file, 'w') as writer:
     writer.write_all(data)