get_model_input_files

plinder.core.loader.get_model_input_files(split_df: DataFrame, split: Literal['train', 'val', 'test'] = 'train', max_num_sample: int = 10, num_alternative_structures: int = 1) → List[Tuple[Path, str, List[Any]]]