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README.md
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license: mit
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---
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# GSM8K
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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".
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license: mit
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---
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# GSM8K training set
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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".
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# Dataset modification codes
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```python
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# coding=utf-8
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import jsonlines
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from datasets import load_dataset, Features, Value
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# Retrieve the path of training and testing databases
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context_feat = Features({"question": Value(dtype='string', id=None), "answer": Value(dtype='string', id=None)})
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train_set = load_dataset('json', data_files='train.jsonl', split='train', features=context_feat)
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data = []
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for example in train_set:
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# Get the label answer --> gsm8k_answers
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number = example['answer'].split('#### ')[1]
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number = int(number.replace(',', ''))
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append = "\nThe answer is: " + str(number)
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answer = example['answer'] + append
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question = example['question']
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data.append({"question": question, "answer": answer})
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# Save the modified data to a jsonl file
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output_file = 'gsm8k_train.jsonl'
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with jsonlines.open(output_file, 'w') as writer:
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writer.write_all(data)
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print(f"Modified data saved to {output_file}")
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```
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