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import os
import json
import random
import json
import os
import numpy as np
from pathlib import Path
from typing import Iterable, Union, Any
from examples import get_examples
def set_seed(seed: int = 42) -> None:
np.random.seed(seed)
random.seed(seed)
os.environ["PYTHONHASHSEED"] = str(seed)
print(f"Random seed set as {seed}")
def load_jsonl(file: Union[str, Path]) -> Iterable[Any]:
with open(file, "r", encoding="utf-8") as f:
for line in f:
try:
yield json.loads(line)
except:
print("Error in loading:", line)
exit()
def save_jsonl(samples, save_path):
# ensure path
folder = os.path.dirname(save_path)
os.makedirs(folder, exist_ok=True)
with open(save_path, "w", encoding="utf-8") as f:
for sample in samples:
f.write(json.dumps(sample, ensure_ascii=False) + "\n")
print("Saved to", save_path)
def lower_keys(example):
new_example = {}
for key, value in example.items():
if key != key.lower():
new_key = key.lower()
new_example[new_key] = value
else:
new_example[key] = value
return new_example
EXAMPLES = get_examples()
def load_prompt(data_name, prompt_type, num_shots):
if not num_shots:
return []
if data_name in ["gsm_hard", "svamp", "tabmwp", "asdiv", "mawps"]:
data_name = "gsm8k"
if data_name in ["math_oai", "hungarian_exam", "math-oai", "aime24", "amc23"]:
data_name = "math"
if data_name in ["sat_math"]:
data_name = "mmlu_stem"
if data_name in [
"gaokao2024_I",
"gaokao2024_II",
"gaokao_math_qa",
"gaokao2024_mix",
"cn_middle_school",
]:
data_name = "gaokao"
if prompt_type in ["tool-integrated"]:
prompt_type = "tora"
return EXAMPLES[data_name][:num_shots]
PROMPT_TEMPLATES = {
"direct": ("Question: {input}\nAnswer: ", "{output}", "\n\n"),
"cot": ("Question: {input}\nAnswer: ", "{output}", "\n\n\n"),
"pal": ("Question: {input}\n\n", "{output}", "\n---\n"),
"tool-integrated": ("Question: {input}\n\nSolution:\n", "{output}", "\n---\n"),
"self-instruct": ("<|user|>\n{input}\n<|assistant|>\n", "{output}", "\n"),
"tora": ("<|user|>\n{input}\n<|assistant|>\n", "{output}", "\n"),
"wizard_zs": (
"### Instruction:\n{input}\n\n### Response: Let's think step by step.",
"{output}",
"\n\n\n",
),
"platypus_fs": (
"### Instruction:\n{input}\n\n### Response:\n",
"{output}",
"\n\n\n",
),
"deepseek-math": (
"User: {input}\nPlease reason step by step, "
"and put your final answer within \\boxed{{}}.\n\nAssistant:",
"{output}",
"\n\n\n",
),
"kpmath": (
"User: Please reason step by step and put your final answer at the end "
'with "The answer is: ".\n\n{input}\n\nAssistant:',
"{output}",
),
"jiuzhang": (
"## Question\n{input}\n\n## Solution\n",
"{output}",
"\n\n\n",
),
"jiuzhang_tora": (
"## Question\n{input}\n\n## Code Solution\n",
"{output}",
"\n\n\n",
),
"jiuzhang_nl": (
"## Question\n{input}\n\n## Natural Language Solution\n",
"{output}",
"\n\n\n",
),
"mmiqc": (
'Please solve the following problem and put your answer at the end with "The answer is: ".\n\n{input}\n\n',
"{output}",
"\n\n\n",
),
"abel": (
"Question:\n{input}\nAnswer:\nLet's think step by step.\n",
"{output}",
"\n\n",
),
"shepherd": ("{input}\n", "{output}", "\n\n\n"),
"qwen-boxed": (
"<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n"
"<|im_start|>user\n{input}\nPlease reason step by step, and put your final answer within \\boxed{{}}.<|im_end|>\n"
"<|im_start|>assistant\n",
"{output}",
"\n\n",
),
"qwen25-math-cot": (
"<|im_start|>system\nPlease reason step by step, and put your final answer within \\boxed{{}}.<|im_end|>\n"
"<|im_start|>user\n{input}<|im_end|>\n"
"<|im_start|>assistant\n",
"{output}",
"\n\n",
),
"mathstral": (
"{input}\nPlease reason step by step, and put your final answer within \\boxed{{}}.",
"{output}",
"\n\n",
),
"internlm-math-fs": ("Question:{input}\nAnswer:", "{output}", "\n"),
"internlm-math-chat": (
"<|im_start|>user\n{input}<|im_end|>\n" "<|im_start|>assistant\n",
"{output}",
"\n\n",
),
"mistral": (
"[INST] {input}[/INST]",
"{output}",
"\n\n",
),
"numina": ("### Problem: {input}\n### Solution:", " {output}", "\n\n"),
}
def construct_prompt(example, data_name, args):
if args.adapt_few_shot and data_name in [
"gaokao2024_I",
"gaokao2024_II",
"gaokao_math_qa",
"gaokao2024_mix",
"cn_middle_school",
]:
demos = load_prompt(data_name, args.prompt_type, 5)
else:
demos = load_prompt(data_name, args.prompt_type, args.num_shots)
prompt_type = args.prompt_type
if prompt_type == "platypus_fs":
prompt_type = "cot"
if prompt_type == "tool-integrated":
prompt_type = "tora"
prompt_temp = PROMPT_TEMPLATES[args.prompt_type]
splitter = prompt_temp[2]
input_template, output_template, splitter = (
prompt_temp[0],
prompt_temp[1],
prompt_temp[2],
)
if args.prompt_type == "qwen25-math-cot":
# Hotfix to support putting all demos into a single turn
demo_prompt = splitter.join([q + "\n" + a for q, a in demos])
else:
demo_prompt = splitter.join(
[
input_template.format(input=q) + output_template.format(output=a)
for q, a in demos
]
)
context = input_template.format(input=example["question"])
if len(demo_prompt) == 0 or (
args.adapt_few_shot and example["gt_ans"] not in ["A", "B", "C", "D", "E"]
):
full_prompt = context
else:
if args.prompt_type == "qwen25-math-cot":
# Hotfix to supportting put all demos into a single turn
full_prompt = demo_prompt + splitter + example["question"]
full_prompt = input_template.format(input=full_prompt)
else:
full_prompt = demo_prompt + splitter + context
if args.prompt_type == "platypus_fs":
full_prompt_temp = (
"Below is an instruction that describes a task. "
"Write a response that appropriately completes the request.\n\n"
"### Instruction:\n{instruction}\n\n### Response:\n"
)
full_prompt = full_prompt_temp.format(instruction=full_prompt)
if prompt_type == "tora":
full_prompt = (
"""Integrate step-by-step reasoning and Python code to solve math problems using the following guidelines:
- Analyze the question and write functions to solve the problem; the function should not take any arguments.
- Present the final result in LaTeX using a `\boxed{}` without any units.
- Utilize the `pi` symbol and `Rational`` from Sympy for $\pi$ and fractions, and simplify all fractions and square roots without converting them to decimal values.
Here are some examples you may refer to:
---
"""
+ full_prompt
)
return full_prompt.strip(" ") # important!
key_map = {
"gt": "Ground Truth",
"pred": "Prediction",
"gt_cot": "Reference CoT",
"score": "Score",
}
def show_sample(sample, print_all_preds=False):
print("==" * 20)
for key in ["idx", "type", "level", "dataset"]:
if key in sample:
# capitalize
print("{}: {}".format(key[0].upper() + key[1:], sample[key]))
print("Question:", repr(sample["question"]))
if "code" in sample:
if print_all_preds:
for code in sample["code"]:
print("-" * 20)
print("code:", code)
print("Execution:", sample["report"])
else:
print("Solution:\n", sample["code"][0])
print("Execution:", sample["report"][0])
if "pred" in sample:
print("Prediction:", repr(sample["pred"][0]))
for key in ["gt", "score", "unit", "gt_cot"]:
if key in sample:
_key = key_map.get(key, key)
print("{}: {}".format(_key, repr(sample[key])))
print()
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