File size: 1,338 Bytes
cb5bf37 |
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 |
import json
import pandas as pd
import ast
def load_json(file_path):
with open(file_path, "r", encoding="utf-8") as file:
data = json.load(file)
print(f"load from {file_path}, {len(data)}")
return data
# file_path = "/share/project/sunshuang/simpleqa_gen_data/data/simple_qa_test_set.json"
file_path = "/share/project/sunshuang/simpleqa_gen_data/data/simple_qa_test_set.csv"
data = pd.read_csv(file_path)
# data = load_json(file_path)
format_data = []
for id, item in enumerate(data.to_dict(orient="records")):
item["metadata"] = ast.literal_eval(item["metadata"])
print(type(item["metadata"]))
# format_item = {
# "id": id,
# "Question": item["problem"],
# "answer": [item["answer"]],
# "urls": item["metadata"]["urls"]
# }
format_item = {
"id": id,
"Question": item["problem"],
"answer": [item["answer"]],
"metadata": item["metadata"]
}
format_data.append(format_item)
with open("/share/project/sunshuang/simpleqa_gen_data/data/simple_qa_test_set_format_with_metadata.json", "w", encoding="utf-8") as file:
json.dump(format_data, file, ensure_ascii=False, indent=4)
print(f"save to /share/project/sunshuang/simpleqa_gen_data/data/simple_qa_test_set_format_with_metadata.json, {len(format_data)}") |