2.5 KiB
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"