Customize DataSets

After defining a new model, if you want to define a dataset processing class that belongs to that class, there are two ways: one is to directly select the text dataset processing class TextDataset or the multimodal dataset processing class MultiModalDataset provided by Faknow, and the other is to rewrite a dataset processing class yourself, such as safe_dataset. The __getitem()__ method of the custom dataset class gets a sample from the dataset by index and returns the values of each feature as a dictionary type. Specifically, for a given index index, the method returns a dictionary containing the values of the different features in the dataset. Each feature corresponds to a key-value pair in the dictionary, where the key is the name of the feature and the value is the value of the sample on that feature.