📄 Augment Whitespace Prefix And Suffix Task Input¶

Note

ID: augmentors.augment_whitespace_prefix_and_suffix_task_input | Type: TaskInputsAugmentor

{
    "__type__": "task_inputs_augmentor",
    "operator": {
        "__type__": "augment_prefix_suffix",
        "prefix_len": 5,
        "prefixes": {
            "": 30,
            " ": 20,
            "\\n": 40,
            "\\t": 10
        },
        "remove_existing_whitespaces": true,
        "suffix_len": 5,
        "suffixes": {
            "": 30,
            " ": 20,
            "\\n": 40,
            "\\t": 10
        }
    }
}

Explanation about AugmentPrefixSuffix¶

Augments the input by prepending and appending randomly selected (typically, whitespace) patterns.

Args:

prefixes, suffixes (list or dict)the potential (typically, whitespace) patterns to select from.
The dictionary version allows the specification relative weights for the different patterns.

prefix_len, suffix_len (positive int) : The added prefix or suffix will be of a certain length. remove_existing_whitespaces : Clean any existing leading and trailing whitespaces.

The strings made of repetitions of the selected pattern(s) are then prepended and/or appended to the potentially trimmed input.

If only either just prefixes or just suffixes are needed, set the other to None.

Examples:
To prepend the input with a prefix made of 4 ‘n’-s or ‘t’-s, employ AugmentPrefixSuffix(augment_model_input=True, prefixes=[’n’,’t’], prefix_len=4, suffixes = None) To append the input with a suffix made of 3 ‘n’-s or ‘t’-s, with triple ‘n’ suffixes being preferred over triple ‘t’, at 2:1 ratio, employ AugmentPrefixSuffix(augment_model_input=True, suffixes={’n’:2,’t’:1}, suffix_len=3, prefixes = None) which will append ‘n’-s twice as often as ‘t’-s.