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id, title, challengeType, dashedName
id title challengeType dashedName
69162d64f96574d9bb629efd Challenge 112: AI Detector 29 challenge-112

--description--

Today's challenge is inspired by the release of ChatGPT on November 30, 2022.

Given a string of one or more sentences, determine if it was likely generated by AI using the following rules:

  • It contains two or more dashes (-).

  • It contains two or more sets of parenthesis (()). Text can be within the parenthesis.

  • It contains three or more words with 7 or more letters.

  • Words are separated by a single space and only consist of letters (A-Z). Don't include punctuation or other non-letters as part of a word.

If the given sentence meets any of the rules above, return "AI", otherwise, return "Human".

--hints--

detect_ai("The quick brown fox jumped over the lazy dog.") should return "Human".

({test: () => { runPython(`
from unittest import TestCase
TestCase().assertEqual(detect_ai("The quick brown fox jumped over the lazy dog."), "Human")`)
}})

detect_ai("The hypersonic brown fox - jumped (over) the lazy dog.") should return "Human".

({test: () => { runPython(`
from unittest import TestCase
TestCase().assertEqual(detect_ai("The hypersonic brown fox - jumped (over) the lazy dog."), "Human")`)
}})

detect_ai("Yes - you're right! I made a mistake there - let me try again.") should return "AI".

({test: () => { runPython(`
from unittest import TestCase
TestCase().assertEqual(detect_ai("Yes - you're right! I made a mistake there - let me try again."), "AI")`)
}})

detect_ai("The extraordinary students were studying vivaciously.") should return "AI".

({test: () => { runPython(`
from unittest import TestCase
TestCase().assertEqual(detect_ai("The extraordinary students were studying vivaciously."), "AI")`)
}})

detect_ai("The (excited) student was (coding) in the library.") should return "AI".

({test: () => { runPython(`
from unittest import TestCase
TestCase().assertEqual(detect_ai("The (excited) student was (coding) in the library."), "AI")`)
}})

--seed--

--seed-contents--

def detect_ai(text):

    return text

--solutions--

import re
def detect_ai(text):
    if len(re.findall(r'-', text)) >= 2:
        return "AI"

    if len(re.findall(r'\([^)]*\)', text)) >= 2:
        return "AI"

    words = text.split()
    long_word_count = sum(1 for w in words if len(re.sub(r'[^A-Za-z]', '', w)) >= 7)
    if long_word_count >= 3:
        return "AI"

    return "Human"