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from base_info import *
from tqdm import tqdm
import json
# 替换 response 中的中文
def replace_keys(d, mapping=cn_en_map):
if isinstance(d, dict):
# 替换字典中的键
return {mapping.get(k, k): replace_keys(v, mapping) for k, v in d.items()}
elif isinstance(d, list):
# 如果是列表，递归处理每个元素
return [mapping.get(item, item) for item in d]
return d # 处理其他类型
def format_prepare(input_path, output_path):
data_all0 = []
with open(input_path, 'r', encoding='utf-8') as file:
for line in tqdm(file):
data_json = json.loads(line)
data_all0.append(data_json)
data_all = []
for data_json0 in tqdm(data_all0):
data_json = {
"response": replace_keys(data_json0["response"], cn_en_map),
"images": ["" + data_json0["images"]],
"query": get_prompt(data_json0["prompt_ori"]),
"data_source": data_json0["data_source"],
}
data_json["response"] = json.dumps(data_json["response"], ensure_ascii=False)
data_all.append(data_json)
# "images": [resized_img],
# "problem": data["query"],
# "answer": data["response"],
# original_data["prompt_ori"] = replace_keys(original_data["prompt_ori"], cn_en_map)
# original_data["prompt_ori"] = get_prompt(original_data["prompt_ori"])
with open(output_path, 'w', encoding='utf-8') as file:
for item in tqdm(data_all):
file.write(json.dumps(item, ensure_ascii=False) + '\n')
return
if __name__ == "__main__":
input_path = ""
output_path = ""
# input_path = "./magic_mirror_data_test.jsonl"
# output_path = "./magic_mirror_data_test_r1.jsonl"
input_path = "./magic_mirror_data_train.jsonl"
output_path = "./magic_mirror_data_train_r1.jsonl"
format_prepare(input_path, output_path)
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