Files
DataPipeline/sft_belle.py
T

28 lines
675 B
Python

from datasets import load_dataset
from utils import process_dataset
def process_func(input_dict: dict):
conversations = input_dict["conversations"]
n = len(conversations) // 2
examples = []
for i in range(n):
user_msg = conversations[2*i]["value"]
assistant_msg = conversations[2*i+1]["value"]
examples.append({
"query": user_msg,
"response": assistant_msg
})
return examples
if __name__ == "__main__":
dataset = load_dataset("BelleGroup/train_3.5M_CN")
process_dataset(
dataset_dict=dataset,
output_subdir="belle-sft",
process_func=process_func,
)