Source code for nemo_rl.data.eval_datasets.mmlu_pro

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"""MMLU-Pro dataset."""

from typing import Any, Optional

from datasets import load_dataset

from nemo_rl.data import processors
from nemo_rl.data.interfaces import TaskDataSpec




class MMLUProDataset:
    def __init__(self, prompt_file: str, system_prompt_file: Optional[str] = None):
        ds = load_dataset("TIGER-Lab/MMLU-Pro", split="test")
        self.rekeyed_ds = ds.map(self._rekey, remove_columns=ds.column_names)

        self.task_spec = TaskDataSpec(
            task_name="MMLU-Pro",
            prompt_file=prompt_file,
            system_prompt_file=system_prompt_file,
        )
        self.processor = processors.multichoice_qa_processor



    def _rekey(self, data: dict[str, Any]):
        options = {chr(ord("A") + i): op for i, op in enumerate(data["options"])}
        return {
            "question": data["question"],
            "options": options,
            "answer": data["answer"],
            "subject": data["category"],
        }