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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))
)
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