| from datasets import DatasetDict, load_dataset |
|
|
| from opencompass.registry import LOAD_DATASET |
|
|
| from .base import BaseDataset |
|
|
|
|
| @LOAD_DATASET.register_module() |
| class CivilCommentsDataset(BaseDataset): |
|
|
| @staticmethod |
| def load(**kwargs): |
| train_dataset = load_dataset(**kwargs, split='train') |
| test_dataset = load_dataset(**kwargs, split='test') |
|
|
| def pre_process(example): |
| example['label'] = int(example['toxicity'] >= 0.5) |
| example['choices'] = ['no', 'yes'] |
| return example |
|
|
| def remove_columns(dataset): |
| return dataset.remove_columns([ |
| 'severe_toxicity', 'obscene', 'threat', 'insult', |
| 'identity_attack', 'sexual_explicit' |
| ]) |
|
|
| train_dataset = remove_columns(train_dataset) |
| test_dataset = remove_columns(test_dataset) |
| test_dataset = test_dataset.shuffle(seed=42) |
| test_dataset = test_dataset.select(list(range(10000))) |
| test_dataset = test_dataset.map(pre_process) |
|
|
| return DatasetDict({ |
| 'train': train_dataset, |
| 'test': test_dataset, |
| }) |
|
|