Add Speech to Text Typo

This test evaluates the NLP model’s proficiency in handling input text that contains common typos resulting from Speech to Text conversion. A Speech to Text typo dictionary is utilized to apply the most frequent typos found in speech recognition output to the input data.

alias_name: add_speech_to_text_typo

To test QA models, we are using QAEval from Langchain where we need to use the model itself or other ML model for evaluation, which can make mistakes.

Config

add_speech_to_text_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_speech_to_text_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