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Kashtan/Detect_Edits_in_AI-Generated_Text

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DetectLM.cpython-310.pyc75 linesDownload Raw Back to __pycache__
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deded9efdd�Zdeded10efdd�Zded11efd d!�Zded12efd"d#�Zd$ed%ed13efd&d'�Zd.d$ed%ed14efd(d)�Zd.d$ed%ed15efd*d+�ZdS)/�DetectLM��d�stbl�truncateFcCs@||_||_||_||_||_||_|dkrd|_dSd|_dS)an16        Test for the presence of sentences of irregular origin as reflected by the17        sentence_detection_function. The test is based on the sentence detection function18        and the P-values obtained from the survival function of the detector's responses.19 20        Args:21        ----22            :sentence_detection_function:  a function returning the response of the text 23            under the detector. Typically, the response is a logloss value under some language model.24            :survival_function_per_length:  survival_function_per_length(l, x) is the probability of the language25            model to produce a sentence value as extreme as x or more when the sentence s is the input to26            the detector. The function is defined for every sentence length l.27            The detector can also recieve a context c, in which case the input is the pair (s, c).28            :length_limit_policy: When a sentence exceeds ``max_len``, we can:29                'truncate':  truncate sentence to the maximal length :max_len30                'ignore':  do not evaluate the response and P-value for this sentence31                'max_available':  use the logloss function of the maximal available length32            :ignore_first_sentence:  whether to ignore the first sentence in the document or not. Useful when assuming33        context of the form previous sentence.34        rTFN)�survival_function_per_length�sentence_detector�min_len�max_len�length_limit_policy�ignore_first_sentence�HC_stbl)�selfZsentence_detection_functionrrr�HC_typerrrrr	�__init__
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