This test checks if the NLP model can handle input text with sentences with a punctuation at the end. The added punctuation is randomly chosen from the list
['!', '?', ',', '.', '-', ':', ';']. If there already is a punctuation it is not changed.
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_punctuation: min_pass_rate: 0.7 prob: 0.5 # Defaults to 1.0, which means all words will be transformed.
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.
|The quick brown fox jumps over the lazy dog||The quick brown fox jumps over the lazy dog.|
|Good morning||Good morning!|
|I like football||I like football.|