| from datasets import Dataset, get_dataset_split_names | |
| class DatasetColumn(list): | |
| """Helper class to avoid loading a dataset column into memory when accessing it.""" | |
| def __init__(self, dataset: Dataset, key: str): | |
| self.dataset = dataset | |
| self.key = key | |
| def __len__(self): | |
| return len(self.dataset) | |
| def __getitem__(self, i): | |
| return self.dataset[i][self.key] | |
| def __iter__(self): | |
| return (self.dataset[i][self.key] for i in range(len(self))) | |
| def choose_split(data, subset=None): | |
| available_splits = get_dataset_split_names(data, subset) | |
| preferred_split_order = [ | |
| "test", | |
| "testing", | |
| "eval", | |
| "evaluation", | |
| "validation", | |
| "val", | |
| "valid", | |
| "dev", | |
| "train", | |
| "training", | |
| ] | |
| for split in preferred_split_order: | |
| if split in available_splits: | |
| return split | |
| raise ValueError("No dataset split defined! Pass an explicit value to the `split` kwarg.") | |
| class DatasetColumnPair(list): | |
| """Helper class to avoid loading two dataset columns into memory when accessing it.""" | |
| def __init__( | |
| self, | |
| dataset: Dataset, | |
| first_col: str, | |
| second_col: str, | |
| first_key: str, | |
| second_key: str, | |
| ): | |
| """ | |
| Args: | |
| dataset (Dataset): dataset to build an iterator on | |
| first_col (str): first column name to use in the dataset | |
| second_col (str): second column name to use in the dataset | |
| first_key (str): key name used for the first column in the returned dictionary | |
| second_key (str): key name used for the second column in the returned dictionary | |
| """ | |
| self.dataset = dataset | |
| self.first_col = first_col | |
| self.second_col = second_col | |
| self.first_key = first_key | |
| self.second_key = second_key | |
| def __len__(self): | |
| return len(self.dataset) | |
| def __getitem__(self, i): | |
| return { | |
| self.first_key: self.dataset[i][self.first_col], | |
| self.second_key: self.dataset[i][self.second_col] if self.second_col else None, | |
| } | |
| def __iter__(self): | |
| return ( | |
| { | |
| self.first_key: self.dataset[i][self.first_col], | |
| self.second_key: self.dataset[i][self.second_col] if self.second_col else None, | |
| } | |
| for i in range(len(self)) | |
| ) | |