csatqa.py

from lm_eval.base import MultipleChoiceTask


class CSATQA(MultipleChoiceTask):
    VERSION = 0
    DATASET_PATH = "EleutherAI/csatqa"

    def has_training_docs(self):
        return False

    def has_validation_docs(self):
        return False

    def has_test_docs(self):
        return True

    def test_docs(self):
        return map(self._process_doc, self.dataset["test"])
    
    def _process_doc(self, doc):
        choices = [doc["option#1"], doc["option#2"], doc["option#3"], doc["option#4"], doc["option#5"]]
        out_doc = {
            "question": doc["question"],
            "context": doc["context"],
            "choices": choices,
            "gold": int(doc['gold']),
        }
        return out_doc

    def doc_to_text(self, doc):
        instruction = f"""다음을 읽고 정답으로 알맞은 것을 고르시요.
### Context: {doc["context"]}
### Question: {doc["question"]}
### Options:
(1) {doc['choices'][0]}\n(2) {doc['choices'][1]}\n(3) {doc['choices'][2]}\n(4) {doc['choices'][3]}\n(5) {doc['choices'][4]}
### Answer: 주어진 문제의 정답은"""
        return instruction


class WR(CSATQA):
    DATASET_NAME = "WR"
    
class GR(CSATQA):
    DATASET_NAME = "GR"

class RCS(CSATQA):
    DATASET_NAME = "RCS"
    
class RCSS(CSATQA):
    DATASET_NAME = "RCSS"
    
class RCH(CSATQA):
    DATASET_NAME = "RCH"

class LI(CSATQA):
    DATASET_NAME = "LI"