This is data for training SEFL models.
If you need it in conversational style, you can do something like:
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained(
"Qwen/Qwen2.5-0.5B-Instruct", trust_remote_code=True, use_fast=True
)
tokenizer.pad_token = tokenizer.eos_token
messages = [
{"role": "system", "content":
},
{"role": "user", "content": example["prompt"]},
{"role": "assistant"… See the full description on the dataset page: https://huggingface.co/datasets/jjzha/sefl.
