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from dataclasses import dataclass
from typing import TYPE_CHECKING, Dict, List, Tuple
from ..data import Role
from ..extras.constants import CHOICES
if TYPE_CHECKING:
from datasets import Dataset
@dataclass
class EvalTemplate:
system: str
choice: str
answer: str
prefix: str
def parse_example(self, example: Dict[str, str]) -> Tuple[str, str]:
candidates = [self.choice.format(choice=ch, content=example[ch]) for ch in CHOICES if ch in example]
return "".join([example["question"]] + candidates + [self.answer]), example["answer"]
def format_example(
self, target_data: Dict[str, str], support_set: "Dataset", subject_name: str
) -> List[Dict[str, str]]:
messages = []
for k in range(len(support_set)):
prompt, response = self.parse_example(support_set[k])
messages.append({"role": Role.USER, "content": prompt})
messages.append({"role": Role.ASSISTANT, "content": response})
prompt, response = self.parse_example(target_data)
messages.append({"role": Role.USER, "content": prompt})
messages.append({"role": Role.ASSISTANT, "content": response})
messages[0]["content"] = self.system.format(subject=subject_name) + messages[0]["content"]
return messages
eval_templates: Dict[str, "EvalTemplate"] = {}
def register_eval_template(name: str, system: str, choice: str, answer: str, prefix: str) -> None:
eval_templates[name] = EvalTemplate(system=system, choice=choice, answer=answer, prefix=prefix)
def get_eval_template(name: str) -> "EvalTemplate":
eval_template = eval_templates.get(name, None)
assert eval_template is not None, "Template {} does not exist.".format(name)
return eval_template
register_eval_template(
name="en",
system="The following are multiple choice questions (with answers) about {subject}.\n\n",
choice="\n{choice}. {content}",
answer="\nAnswer: ",
prefix=" ",
)
register_eval_template(
name="zh",
system="以下是中国关于{subject}考试的单项选择题，请选出其中的正确答案。\n\n",
choice="\n{choice}. {content}",
answer="\n答案：",
prefix="\n",
)
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