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)) )