| | from datasets import Dataset, load_dataset |
| |
|
| | from opencompass.registry import LOAD_DATASET |
| |
|
| | from ..base import BaseDataset |
| |
|
| |
|
| | @LOAD_DATASET.register_module() |
| | class LEvalQualityDataset(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[1] |
| | }) |
| | dataset[split] = Dataset.from_list(raw_data) |
| | return dataset |
| |
|