mirror of
https://github.com/deepseek-ai/DeepSeek-Math
synced 2024-11-25 13:30:49 +00:00
170 lines
5.2 KiB
Python
Executable File
170 lines
5.2 KiB
Python
Executable File
import regex
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from data_processing.answer_extraction import extract_math_answer, strip_string
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def process_gsm8k_test(item):
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sample = {
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'dataset': 'gsm8k-cot',
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'id': item['id'],
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'messages': [
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{'role': 'user', 'content': item['question']},
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{'role': 'assistant', 'content': regex.sub(r"<<[^<>]*>>", "", item['cot']) + "\nSo the answer is $\\boxed{" + item['answer'].strip() + "}$."}
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],
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'answer': item['answer'].replace(',', '')
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}
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yield sample
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def process_math_test(item):
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question = item["problem"]
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try:
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answer = extract_math_answer(question, item['solution'], task="cot")
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except:
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return
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sample = {
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"dataset": "math-cot",
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"id": item['id'],
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"level": item["level"],
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"type": item["type"],
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"category": item["category"],
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"messages": [
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{"role": "user", "content": question},
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{"role": "assistant", "content": "\n".join(regex.split(r"(?<=\.) (?=[A-Z])", item["solution"]))}
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],
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"answer": answer
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}
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yield sample
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def process_math_sat(item):
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options = item['options'].strip()
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assert 'A' == options[0]
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options = '(' + options
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for ch in 'BCDEFG':
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if f' {ch}) ' in options:
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options = regex.sub(f' {ch}\) ', f" ({ch}) ", options)
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question = f"{item['question'].strip()}\nWhat of the following is the right choice? Explain your answer.\n{options.strip()}"
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messages = [
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{'role': 'user', 'content': question},
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{'role': 'assistant', 'content': item['Answer']}
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]
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item = {
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'dataset': 'math_sat',
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'id': item['id'],
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'language': 'en',
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'messages': messages,
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'answer': item['Answer'],
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}
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yield item
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def process_ocwcourses(item):
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messages = [
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{'role': 'user', 'content': item['problem'].strip()},
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{'role': 'assistant', 'content': item['solution'].strip()}
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]
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item = {
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"dataset": "OCWCourses",
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"id": item['id'],
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"language": "en",
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"messages": messages,
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"answer": item['answer']
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}
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yield item
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def process_mmlu_stem(item):
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options = item['options']
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for i, (label, option) in enumerate(zip('ABCD', options)):
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options[i] = f"({label}) {str(option).strip()}"
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options = ", ".join(options)
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question = f"{item['question'].strip()}\nWhat of the following is the right choice? Explain your answer.\n{options}"
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messages = [
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{'role': 'user', 'content': question},
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{'role': 'assistant', 'content': item['answer']}
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]
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item = {
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"dataset": "MMLU-STEM",
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"id": item['id'],
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"language": "en",
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"messages": messages,
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"answer": item['answer']
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}
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yield item
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def process_mgsm_zh(item):
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item['answer'] = item['answer'].replace(',', '')
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yield item
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def process_cmath(item):
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item = {
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'dataset': 'cmath',
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'id': item['id'],
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'grade': item['grade'],
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'reasoning_step': item['reasoning_step'],
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'messages': [
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{'role': 'user', 'content': item['question'].strip()},
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{'role': 'assistant', 'content': ''}
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],
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'answer': item['golden'].strip().replace(",", "")
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}
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yield item
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def process_agieval_gaokao_math_cloze(item):
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item = {
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'dataset': 'agieval-gaokao-math-cloze',
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'id': item['id'],
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'messages': [
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{'role': 'user', 'content': item['question'].strip()},
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{'role': 'assistant', 'content': ''}
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],
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'answer': [strip_string(ans) for ans in item['answer'].strip().split(";")]
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}
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yield item
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def process_agieval_gaokao_mathqa(item):
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question = item['question'].strip()
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options = []
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for option in item['options']:
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option = option.strip()
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assert option[0] == '('
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assert option[2] == ')'
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assert option[1] in 'ABCD'
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option = f"{option[1]}: {option[3:].strip()}"
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options.append(option.strip())
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question = f"{question}\n{options}"
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item = {
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'dataset': 'agieval-gaokao-mathqa',
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'id': item['id'],
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'messages': [
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{'role': 'user', 'content': question},
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{'role': 'assistant', 'content': ''}
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],
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"answer": item['label']
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}
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yield item
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def process_agieval_gaokao_mathqa_few_shot_cot_test(item):
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question = item['question'].strip().rstrip('\\')
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options = " ".join([opt.strip() for opt in item['options']])
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question = f"{question}\n从以下选项中选择: {options}"
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item = {
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'dataset': 'agieval-gaokao-mathqa',
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'id': item['id'],
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'messages': [
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{'role': 'user', 'content': question},
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{'role': 'assistant', 'content': ''}
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],
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"answer": item['label']
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}
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yield item
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def process_minif2f_isabelle(item):
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question = f"(*### Problem\n\n{item['informal_statement'].strip()}\n\n### Solution\n\n{item['informal_proof'].strip()} *)\n\nFormal:\n{item['formal_statement'].strip()}"
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item = {
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'dataset': 'minif2f-isabelle',
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'id': item['id'],
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'messages': [
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{'role': 'user', 'content': question},
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{'role': 'assistant', 'content': ''}
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],
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"answer": "placeholder"
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}
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yield item
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