Files
DataPipeline/scripts/supervised_finetuning/sft_magicoder.py
T

20 lines
549 B
Python

from datasets import load_dataset
from pipeline import export_dataset
def process_func(input_dict: dict):
return {"messages": [
{"role": "user", "content": input_dict["instruction"]},
{"role": "assistant", "content": input_dict["response"]},
]}
if __name__ == "__main__":
dataset = load_dataset("ise-uiuc/Magicoder-Evol-Instruct-110K")
export_dataset(
dataset=dataset["train"],
output_dir="./dataset",
output_prefix="Magicoder-Evol-Instruct-110K",
process_func=process_func,
)