| from datasets import Dataset, load_dataset |
|
|
| from opencompass.registry import LOAD_DATASET |
|
|
| from ..base import BaseDataset |
|
|
|
|
| @LOAD_DATASET.register_module() |
| class LEvalCourseraDataset(BaseDataset): |
|
|
| @staticmethod |
| def load(**kwargs): |
| dataset = load_dataset(**kwargs) |
| split = 'test' |
| raw_data = [] |
| for i in range(len(dataset[split])): |
| instructions = dataset[split]['instructions'][i] |
| outputs = dataset[split]['outputs'][i] |
| context = dataset[split]['input'][i] |
| for question, answer in zip(instructions, outputs): |
| raw_data.append({ |
| 'question': question, |
| 'context': context, |
| 'answer': answer |
| }) |
| dataset[split] = Dataset.from_list(raw_data) |
| return dataset |
|
|