Add OCR Typo

This test checks if the NLP model can handle input text with common ocr typos. A ocr typo dictionary is used to apply most common ocr typos to the input data.

alias_name: add_ocr_typo

Config

add_ocr_typo:
    min_pass_rate: 0.7
    prob: 0.5 # Defaults to 1.0, which means all words will be transformed.
    parameters:
        count: 1 # Defaults to 1

You can adjust the level of transformation in the sentence by using the “prob” parameter, which controls the proportion of words to be changed during add_ocr_typo test.

• min_pass_rate (float): Minimum pass rate to pass the test.
• prob (float): Controls the proportion of words to be changed.
• count (int): Number of variations of sentence to be constructed.

Examples