---
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". 

# Dataset modification codes
```python
# coding=utf-8

import jsonlines
from datasets import load_dataset, Features, Value

# 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
    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

    # 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
output_file = 'gsm8k_train.jsonl'
with jsonlines.open(output_file, 'w') as writer:
    writer.write_all(data)

print(f"Modified data saved to {output_file}")
```