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.
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.
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
- 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.
|Andrew finally returned the French book to Chris that I bought last week.||Andrew finally returned the French book to Chris that I bot lass week.|
|The more you learn, the more you grow.||Thee morr you learn, the morr you grow.|