File size: 2,983 Bytes
d4a7e84 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 | import sys
import os
import json
import argparse
from datasets import load_dataset
from prompt_pool import DATASET_PROMPTS, SEQUENCE_PROMPT
def self_critique_prompt(question:str, response:str):
prompt = SEQUENCE_PROMPT["self_critique_new"]
prompt = prompt.format(input_data=question, previous_solution=response)
return prompt
def concate_prompt(question:str, response:list[str]):
for i, r in enumerate(response):
response[i] = f"Solution {i+1}: {r}"
response = "\n".join(response)
prompt = SEQUENCE_PROMPT["concate"]
prompt = prompt.format(input_data=question, previous_solution=response)
return prompt
def prepare_sequence_jsonl(input_path, output_dir, budget=8, model_name="Qwen/Qwen2.5-7B-Instruct", max_completion_tokens=2048):
# input_path: jsonl file
# output_dir: directory to save the jsonl file
# model_name: model name
# max_completion_tokens: max completion tokens
# 预留出batch空间，也即为后续data jsonl batch数量
# check if output_dir exists
if not os.path.exists(output_dir):
os.makedirs(output_dir)
batchs= [[] for _ in range(budget)]
with open(input_path, "r", encoding="utf-8") as f:
for idx, line in enumerate(f):
line = json.loads(line)
if len(line["outputs"]) < budget:
raise ValueError(f"Warning: {line['id']} has less than {budget} outputs")
for i in range(budget):
item = {
"custom_id": f"request-{idx+1}",
"method": "POST",
"url": "/v1/chat/completions",
"body": {
"model": model_name,
"messages": [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": self_critique_prompt(line["problem"], line["outputs"][i])}
],
"max_completion_tokens": max_completion_tokens,
"temperature": 0.7,
}
}
batchs[i].append(item)
for i in range(budget):
with open(os.path.join(output_dir, f"batch_{i}.jsonl"), "w", encoding="utf-8") as f:
for line in batchs[i]:
f.write(json.dumps(line, ensure_ascii=False) + '\n')
def main():
parser = argparse.ArgumentParser()
parser.add_argument("--input_path", type=str, required=True)
parser.add_argument("--output_dir", type=str, required=True)
parser.add_argument("--budget", type=int, default=8)
parser.add_argument("--model_name", type=str, default="Qwen/Qwen2.5-7B-Instruct")
parser.add_argument("--max_completion_tokens", type=int, default=2048)
args = parser.parse_args()
prepare_sequence_jsonl(args.input_path, args.output_dir, args.budget, args.model_name, args.max_completion_tokens)
if __name__ == "__main__":
main() |