ರಾಶಿಯುತ ದಾರದ ತೂಕಗಳು 4 kg ಮತ್ತು 6 kg ರಾಶಿಯುತ ಎಡೆಗೆ ತೂಕಗಳು, ತೂಕ, ಎಂತು ಧೂಮಕೇತುವಿನ ತೂಕದ ಪಲ್ಲೆ (ಚಿತ್ರದಲ್ಲಿ ತೋರಿಸಲಾಗಿದೆ) ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ ತೂಕದ\n",
"Inconsistency detected on page 13:\n",
"Questions: 0, Choices: 0, Requires Image: 0, Mapped Categories: 0, Contexts: 0, Question Numbers: 1\n",
"After truncation: Questions: 0, Choices: 0, Requires Image: 0, Mapped Categories: 0, Contexts: 0, Question Numbers: 0\n",
"Saving data to: /content/results/1640593808NEET%202020%20Kannada%20F1%20QP.pdf_page_13.json\n",
"Data saved: /content/results/1640593808NEET%202020%20Kannada%20F1%20QP.pdf_page_13.json\n",
"Page: 14 / 22\n",
"Response for page 14:\n",
"```xml\n",
"117\n",
"ಕೆಳಗಿನ ತರ್ಕ ವಾಕ್ಯವನ್ನು, ನಿರ್ಧರ ಕೊಡುಕೆಯು :\n",
"\n",
"(1) A B Y\n",
" 0 0 1\n",
" 0 1 1\n",
" 1 0 1\n",
" 1 1 0\n",
"(2) A B Y\n",
" 0 0 1\n",
" 0 1 0\n",
" 1 0 0\n",
" 1 1 0\n",
"(3) A B Y\n",
" 0 0 0\n",
" 0 1 0\n",
" 1 0 0\n",
" 1 1 1\n",
"(4) A B Y\n",
" 0 0 0\n",
" 0 1 1\n",
" 1 0 1\n",
" 1 1 1\n",
"\n",
" \n",
"yes\n",
"no\n",
"physics\n",
"\n",
"118\n",
"ಯಂಗ್ ದ್ವಿಚಿರೆ ಗಂಧಿ ಪ್ರಯೋಗದಲ್ಲಿ ಸಂಚಲ ಅಂತರದ ಸಮತಯ ಅಂತರವನ್ನು, ಅಲ್ಫಾಗೋಣಿಯ ಅಂತರ ಮತ್ತು ಸಂಚಲ ಅಂತರಗಳ ತಗದು ಅಂತರ ದೋಷವನ್ನು ದ್ವಿಗುಣಗೊಳಿಸಿದಾಗ ಸಂಚಲ ಅಂತರದ ಅಂತರದ ಅಳತೆ :\n",
"\n",
"(1) ರಾಶ್ಟ್ರಾದ್ಯಮ್ತದ.\n",
"(2) ಒಂದರ-ಸಾಮ್ಯತಯಮ್ತದ.\n",
"(3) ದ್ವಿಗುಣಗೋಣಿಯದ.\n",
"(4) ಅಳತಾದ್ಯಮ್ತದ.\n",
"\n",
" \n",
"no\n",
"no\n",
"physics\n",
"\n",
"119\n",
"r ಕ್ಷಿಪಣಿಯ ತೂಕದ ತೋರ್ಮಾಣವನ್ನು ನಿರ್ಣಯಿಸಿ ಅಲ್ದರಾಗ ಅಲ್ದರೀ ದೀರ್ಘ h ಎತ್ತರಕ್ಕೆ ಕೊಂಡೊಯ್ಯುವುದಕ್ಕೆ ಮತ್ತು ತೋರ್ಮಾಣದೊಳಗಿನ ಶಕ್ತಿಯ ರಾಶಿ E ಅಳತೆ. r ಕ್ಷಿಪಣಿಯ ಮಿತಿಯ ತೋರ್ಮಾಣವನ್ನು, ನಿರ್ಣಯಿಸಿ ಅಲ್ದರಾಗ. ಈ ಸಾಮರ್ಥ್ಯ ವಿಕಿರಣದ ಅಳತೆ ರಾಶಿ :\n",
"\n",
"(1) 10.0 g\n",
"(2) 20.0 g\n",
"(3) 2.5 g\n",
"(4) 5.0 g\n",
"\n",
" \n",
"no\n",
"no\n",
"physics\n",
"\n",
"120\n",
"27°C ತಾಪಮಾನ ಮತ್ತು 249 kPa ತ್ರೈಮಾಸಿಕದ ವಾಯುಸಂಕಲ ಅಲಿವಾಸನು, ಒಂದು ನಿಲ್ದಾಣ ಕೋಂಡಿದೆ. ಇದರ ಸಾಂದ್ರತೆಯು :\n",
"\n",
"(1) 0.1 kg/m³\n",
"(2) 0.02 kg/m³\n",
"(3) 0.5 kg/m³\n",
"(4) 0.2 kg/m³\n",
"\n",
" \n",
"no\n",
"no\n",
"chemistry\n",
"\n",
"121\n",
"ಒಂದು ಚುಕ್ಕಣ ಸರಣಿಯು, ಕಾರ್ತಸ್ಯನಿಕದ ಕ್ಷೇತ್ರ 1200 A m⁻¹ ಕ್ಕೆ ಉದ್ವಾಹಿತ. ಸರಣಿಯ ಕಾರ್ತ ಪ್ರತ್ಯೇಕತೆ 599 ಅದರೇ ಚುಕ್ಕಣ ಕಾರ್ತಸ್ಯತೆಯು :\n",
"\n",
"(1) 2.4π × 10⁻⁷ T m A⁻¹\n",
"(2) 2.4π × 10⁻⁵ T m A⁻¹\n",
"(3) 2.4π × 10⁻⁴ T m A⁻¹\n",
"(4) 8.0 × 10⁻⁵ T m A⁻¹\n",
"\n",
" \n",
"no\n",
"no\n",
"physics\n",
"\n",
"122\n",
"2 h m ಸ್ಫೂರ್ತಿ ಸರಣಿಯು ಒಂದು ಕಡತ ಮೇಲೆ ಮಾಲೆಚಾಯಿತಮಾಡಿ ಮಾಲೆಚಾಯಿತ 3 j N ಬಲದ ವಶದಲ್ಲಿದೆ ಅದರ ಪ್ರಭಾವವನ್ನು ಕಂಡುಕೊಳ್ಳಿ.\n",
"\n",
"(1) -6 i N m\n",
"(2) 6 k N m\n",
"(3) 6 i N m\n",
"(4) 6 j N m\n",
"\n",
" \n",
"no\n",
"no\n",
"physics\n",
"\n",
"123\n",
"ವಿಕಸಿತಮಾನದ ಅಲಿವಾಸ ಸರಣಿಯ ಶಾಖತೆಯು :\n",
"\n",
"(1) 5/2 kBT\n",
"(2) 7/2 kBT\n",
"(3) 1/2 kBT\n",
"(4) 3/2 kBT\n",
"\n",
" \n",
"no\n",
"no\n",
"physics\n",
"\n",
"124\n",
"ಒಂದು ಶಕ್ತಿಯು 600 nm ತರವಂತಾದವುದಾದ ಶೇಖು ಬಲದವುದಾದ ಭಾವಿಸಿದರೆ, 2 m ಶಕ್ತಿಯು ವಶದಲ್ಲಿದ ದೋಂದರತೆಯು ಶಕ್ತಿಯು :\n",
"\n",
"(1) 7.32 × 10⁻⁷ rad\n",
"(2) 6.00 × 10⁻⁷ rad\n",
"(3) 3.66 × 10⁻⁷ rad\n",
"(4) 1.83 × 10⁻⁷ rad\n",
"\n",
" \n",
"no\n",
"no\n",
"physics\n",
"```\n",
"Page 14 is consistent.\n",
"Saving data to: /content/results/1640593808NEET%202020%20Kannada%20F1%20QP.pdf_page_14.json\n",
"Data saved: /content/results/1640593808NEET%202020%20Kannada%20F1%20QP.pdf_page_14.json\n",
"Page: 15 / 22\n",
"Response for page 15:\n",
"125\n",
"20 cm² ಮೇಲ್ಪದರ, ಕೇಂದ್ರಕದ ತ್ರಿಜ್ಯಾರ್ಧದ ಹೊಂದಿದ ಮೇಲ್ಪದರ ಮೇಲೆ ಅಲೆಯು ಹರಿದು 20 W/cm² ಶಕ್ತಿಯ ತೀವ್ರತೆಯನ್ನು ಹೊಂದಿದರೆ, ಒಂದು ನಿಮಿಷ ಕಾಲಾವಧಿಯ ಮೇಲ್ಪದರ ಶಕ್ತಿಯು:\n",
"\n",
"(1) 24 × 10³ J\n",
"(2) 48 × 10³ J\n",
"(3) 10 × 10³ J\n",
"(4) 12 × 10³ J\n",
"\n",
"4\n",
"no\n",
"no\n",
"physics\n",
"\n",
"126\n",
"ವಿದ್ಯುತ್‌ಚಾಲಕ ತಂತುಗಳ ತ್ರಿಜ್ಯ, ವಿದ್ಯುತ್ ಶಕ್ತಿ ಮತ್ತು ಕಾಂತತಂತು ತಂತುಗಳ ಹೋಲಿಕೆಯ ಅನುಪಾತವು:\n",
"\n",
"(1) 1 : c\n",
"(2) 1 : c²\n",
"(3) c : 1\n",
"(4) 1 : 1\n",
"\n",
" \n",
"no\n",
"no\n",
"physics\n",
"\n",
"127\n",
"ಈ ಕೆಳಗಿನ ಯಾವ ಸಮವ ತಾಪಮಾನ, ಉಷ್ಣತೆ (T) ಯೊಂದಿಗೆ ವ್ಯತ್ಯಾಸವಾದ ದ್ರೋಣ (ρ) ಯನ್ನು ತೋರಿಸುತ್ತದೆ?\n",
"\n",
"(1) \n",
"(2) \n",
"(3) \n",
"(4) \n",
"\n",
" \n",
"yes\n",
"no\n",
"physics\n",
"\n",
"128\n",
"r₁ ಮತ್ತು r₂ (r₁ = 1.5 r₂) ತ್ರಿಜ್ಯಗಳಿರುವ ಎರಡು ತಂತುಗಳ ಶ್ರೇಣಿಯಲ್ಲಿ ಉಷ್ಣತೆಯು 1 K ಸ್ಮಿತ ತಾಪಮಾನದಲ್ಲಿ ಶ್ರೇಣಿಯ ಶಕ್ತಿಯು:\n",
"\n",
"(1) 3/2\n",
"(2) 5/3\n",
"(3) 27/8\n",
"(4) 9/4\n",
"\n",
" \n",
"no\n",
"no\n",
"physics\n",
"\n",
"129\n",
"ಮೀಟರ್‌ ಬ್ರಿಡ್ಜ್‌ ಯಂತ್ರದ ಜಂಗದ್ರವ್ಯ ರೋಡ್‌ ತಂತಿಯ ಬಲಗೋಡೆಯಲ್ಲಿ ಜಂಗದ್ರವ್ಯ 10 Ω ನಿರೋಧಕವನ್ನು ತಂತಿ ತಡೆದಿದ್ದು, 3 : 2 ಅನುಪಾತದಲ್ಲಿ ತಂತಿ ಸುತ್ತಿಕೊಳ್ಳುತ್ತದೆ. ತಂತಿಯ ತಂತು 1.5 m ಉದ್ದದ ತಂತಿಯ 1 Ω ನಿರೋಧ ಉದ್ದವು:\n",
"\n",
"(1) 1.5 × 10⁻¹ m\n",
"(2) 1.5 × 10⁻² m\n",
"(3) 1.0 × 10⁻² m\n",
"(4) 1.0 × 10⁻¹ m\n",
"\n",
"3\n",
"no\n",
"no\n",
"physics\n",
"\n",
"130\n",
"p-n ಸಂಧಿಯ ನಿರೋಧದಲ್ಲಿ ವಿದ್ಯುತ್ ಶಕ್ತಿಯು ಅಳವಡಿಸಿದಾಗ ತಂತುಗಳು:\n",
"\n",
"(1) ಫಾರ್ವರ್ಡ್‌ ಬಯಾಸ್‌ ಮತ್ತು ರಿವರ್ಸ್‌ ಬಯಾಸ್‌ ಎಡತಂತು\n",
"(2) ಫಾರ್ವರ್ಡ್‌ ಬಯಾಸ್‌ ತಂತು ಹತ್ತಿರದಲ್ಲಿರುವ\n",
"(3) ಫಾರ್ವರ್ಡ್‌ ಬಯಾಸ್‌ ತಂತು\n",
"(4) ರಿವರ್ಸ್‌ ಬಯಾಸ್‌ ತಂತು\n",
"\n",
" \n",
"no\n",
"no\n",
"physics\n",
"\n",
"131\n",
"ಒಂದು 40 μF ಧಾರಕವನ್ನು, 200 V, 50 Hz ಪರ್ಯಾಯ ವಿದ್ಯುತ್ ಶ್ರೇಣಿಗೆ ಕನೆಕ್ಟಿಸಿದಾಗ, ಮಂಡಲದ ವಿದ್ಯುತ್ ಪ್ರಮಾಣದ rms ಧಾರೆಯು (ಸುಮಾರು):\n",
"\n",
"(1) 2.5 A\n",
"(2) 25.1 A\n",
"(3) 1.7 A\n",
"(4) 2.05 A\n",
"\n",
"1\n",
"no\n",
"no\n",
"physics\n",
"\n",
"132\n",
"ಸಾದೃಶ್‌ ಅಂಕಿಗಳನ್ನು ಗಣನೆಗೆ ತೆಗೆದುಕೊಂಡಾಗ, 9.99 m - 0.0099 m ನ ಪೂರಕ ಮೌಲ್ಯ:\n",
"\n",
"(1) 9.980 m\n",
"(2) 9.9 m\n",
"(3) 9.9801 m\n",
"(4) 9.98 m\n",
"\n",
"4\n",
"no\n",
"no\n",
"physics\n",
"\n",
"133\n",
"3 × 10⁻¹⁰ Vm⁻¹ ವಿದ್ಯುತ್ ಶಕ್ತಿಯು ಒಂದು ಆವೇಶಭರಿತ ಕಣವು 7.5 × 10⁻⁴ m/s⁻¹ ವೇಗದಲ್ಲಿ ಹೊಂದುತ್ತದೆ ಅದರ ಚಲನೆಶೀಲತೆ m² V⁻¹ s⁻¹:\n",
"\n",
"(1) 2.5 × 10⁻⁶\n",
"(2) 2.25 × 10⁻¹⁵\n",
"(3) 2.25 × 10¹⁵\n",
"(4) 2.5 × 10⁶\n",
"\n",
"1\n",
"no\n",
"no\n",
"physics\n",
"Page 15 is consistent.\n",
"Saving data to: /content/results/1640593808NEET%202020%20Kannada%20F1%20QP.pdf_page_15.json\n",
"Data saved: /content/results/1640593808NEET%202020%20Kannada%20F1%20QP.pdf_page_15.json\n",
"Page: 16 / 22\n",
"Response for page 16:\n",
"134\n",
"ಒಂದು ವಸ್ತುವಿಂದ ಉತ್ಪತ್ತಿಯಾದ A ಮತ್ತು B ಎಂಬ ಎರಡು ನಾದತರಂಗಗಳ ತಾಂಬ್ರಗಳು ಕ್ರಮವಾಗಿ 6 Hz ಮತ್ತು 8 Hz ಆಗಿವೆ. B ನಾದದ ಎತ್ತರವು A ನಾದದ ಎತ್ತರಕ್ಕಿಂತ 530 Hz ಹೆಚ್ಚು. B ನಾದದ ಎತ್ತರವು:\n",
"\n",
"(1) 536 Hz\n",
"(2) 537 Hz\n",
"(3) 523 Hz\n",
"(4) 524 Hz\n",
"\n",
" \n",
"no\n",
"no\n",
"physics\n",
"\n",
"135\n",
"1 m ಉದ್ದದ ಮತ್ತು ತಂಗದತೆಯಾದ ರಾಡಿನ ಒಂದು ತುದಿ 5 kg ಬಾರದ ತಂಗದ ತೊಡಿಗೆ ತೂಗಿದಾಗ 5 kg ಮತ್ತು 10 kg ತಂಗದ ತೊಡಿಗಳ ತೂಕಗಳು, ತಂಗದತೆಯಾದ 5 kg ತೊಡಿಯಿಂದ ತಂಗದತೆಯಾದ ರಾಡಿನ ತೂಕದ ಪ್ರಮಾಣ:\n",
"\n",
"(1) 67 cm\n",
"(2) 80 cm\n",
"(3) 33 cm\n",
"(4) 50 cm\n",
"\n",
" \n",
"no\n",
"no\n",
"physics\n",
"\n",
"136\n",
"ಎಲ್ಯುಮಿನಿಯಮ್ ಮತ್ತು ಆಮ್ಲೀಯೋಕ್ಷೈಡಗಳ ದ್ರಾವಣ NaOH ದ್ರಾವಣದಲ್ಲಿ ತಪಾಸಣೆಗೆ ಈ ಸಮೀಕರಣವನ್ನು ಪರಿಗಣಿಸಿ:\n",
"\n",
"(1) ಆಮ್ಲ (ಹೆಚ್) ಕ್ರಿಯಾಶೀಲತೆ ಸಮೀಕರಣ\n",
"(2) ಆಮ್ಲ ದ್ರಾವಣ ಸಂಯೋಜನೆ\n",
"(3) ಆಮ್ಲೀಯ ಸಂಯೋಜನೆ\n",
"(4) ಕ್ರಿಯಾಶೀಲತೆ ಸಮೀಕರಣ\n",
"\n",
" \n",
"no\n",
"no\n",
"chemistry\n",
"\n",
"137\n",
"ಜೇನು ಹುಳದ ದೇಹದ ಭಾಗದಿಂದ ಹೊರ ಬರುವ ಕಣಗಳ ಯಾವ ಗುಣವನ್ನು ಕಣದತೆಯೊಂದಿಗೆ ಹೊಂದಿಸಬಹುದು?\n",
"\n",
"(1) ಕಣದ ತಂಗದ ತೂಕ\n",
"(2) ಕಣದ ತಂಗದ ಗಾತ್ರ\n",
"(3) ಆಮ್ಲ (ಹೆಚ್)\n",
"(4) ತಂಗದ\n",
"\n",
" \n",
"no\n",
"no\n",
"zoology\n",
"\n",
"138\n",
"ಜೇನು ಹುಳದ ಕಣದತೆಯು ಕಣದತೆಯೊಂದಿಗೆ ಹೊಂದಿಸಬಹುದಾದ ಬಣ್ಣದ ತಂಗದತೆಯು ಯಾವುದು?\n",
"\n",
"(1) -CH3 ತಂಗದತೆಯು -R ತಂಗದತೆಯು\n",
"(2) ಪ್ರಪರೋಕ್ಸೈಡ್ (ಆಮ್ಲೀಯ)\n",
"(3) -CH3 ತಂಗದತೆಯು -I ತಂಗದತೆಯು\n",
"(4) -CH3 ತಂಗದತೆಯು +R ತಂಗದತೆಯು\n",
"\n",
" \n",
"no\n",
"no\n",
"chemistry\n",
"\n",
"139\n",
"ಸೀರೆಸ್ (ಆಮ್ಲೀಯ) ಸೀರೆಸ್ ಆಮ್ಲವು ಪುನಃ ತಪಾಸಣೆ (ವ್ಯಾಖ್ಯಾನ)ಗೊಳಿಸಿದ ಸಮೀಕರಣ:\n",
"\n",
"(1) q < 0, ΔT = 0 ಮತ್ತು w = 0\n",
"(2) q > 0, ΔT > 0 ಮತ್ತು w > 0\n",
"(3) q = 0, ΔT = 0 ಮತ್ತು w = 0\n",
"(4) q = 0, ΔT < 0 ಮತ್ತು w > 0\n",
"\n",
" \n",
"no\n",
"no\n",
"chemistry\n",
"\n",
"140\n",
"ಪೋಂದಿಕೆ:\n",
"\n",
"(a) CO (i) ತಪಾಸಣೆಯ\n",
"(b) BaO (ii) ತಪಾಸಣೆಯ\n",
"(c) Al2O3 (iii) ತಪಾಸಣೆಯ\n",
"(d) Cl2O7 (iv) ಉಲ್ಬಣನೆ\n",
"\n",
" \n",
"no\n",
"no\n",
"chemistry\n",
"\n",
"141\n",
"ಎಲ್ಯುಮಿನಿಯಮ್ ಮತ್ತು ಮ್ಯಾಗ್ನೀಸಿಯಮ್ ಕಡ್ಡಿಗಳಲ್ಲಿ ತಪಾಸಣೆ ತಪಾಸಣೆ ತಪಾಸಣೆ:\n",
"\n",
"(1) ಬಾರದ ಬಟ್ಟೆಗೇ ತಪಾಸಣೆ\n",
"(2) ಬಾರದ ಬಟ್ಟೆಗೇ ತಪಾಸಣೆ\n",
"(3) ಬಾರದ ಬಟ್ಟೆಗೇ ತಪಾಸಣೆ\n",
"(4) ಬಾರದ ಬಟ್ಟೆಗೇ ತಪಾಸಣೆ\n",
"\n",
" \n",
"no\n",
"no\n",
"chemistry\n",
"\n",
"142\n",
"ಕಣದ ಯಾಮದ ಆಮ್ಲವು ಬಲವಾದ ಕಣವನ್ನು ತಪಾಸಣೆ:\n",
"\n",
"(1) ಕ್ರಿಯಾಶೀಲತೆ\n",
"(2) ಆಮ್ಲೀಯ\n",
"(3) ತಪಾಸಣೆ\n",
"(4) ತಪಾಸಣೆ\n",
"\n",
" \n",
"no\n",
"no\n",
"chemistry\n",
"Page 16 is consistent.\n",
"Saving data to: /content/results/1640593808NEET%202020%20Kannada%20F1%20QP.pdf_page_16.json\n",
"Data saved: /content/results/1640593808NEET%202020%20Kannada%20F1%20QP.pdf_page_16.json\n",
"Page: 17 / 22\n",
"Response for page 17:\n",
"143\n",
"ಕೆಳಗಿನ ಯಾವುದು ಪ್ರತ್ಯಾಮ್ಲೀಯತೆಯ ಉದಾಹರಣೆ ?\n",
"\n",
"(1) ಟ್ರೈಕ್ಲೋರೋನಿಟ್ರೋಮೀಥೇನ್\n",
"(2) ಟ್ರೈಮೆಥೈಲ್\n",
"(3) ನೈಟ್ರೋಮೀಥೇನ್\n",
"(4) ಆಲ್ಕೈಲ್\n",
"\n",
"\n",
"no\n",
"no\n",
"chemistry\n",
"\n",
"144\n",
"ಈ ಕೆಳಗಿನ ಸಮೀಕರಣ ಕ್ರಮದಲ್ಲಿ ಉಂಟಾಗುವ X ಎಂಬ ಸಂಯುಕ್ತವನ್ನು ಕಂಡುಹಿಡಿಯಿರಿ.\n",
"\n",
"(1) \n",
"(2) \n",
"(3) \n",
"(4) \n",
"\n",
"\n",
"yes\n",
"no\n",
"chemistry\n",
"\n",
"145\n",
"ಸಮಯೋಚಿತ ಸಂಯುಕ್ತದ ಪರಮಾಣುಗಳಲ್ಲಿ, ಲಿಗ್ಯಾಂಡಗಳ ಕಡ್ಡಾಯವಾದ ಕ್ರಮ ಕೆಳಗಿನ ಯಾವುದರಲ್ಲಿ ಸರಿಯಾಗಿದೆ ?\n",
"\n",
"(1) F⁻ < SCN⁻ < C₂O₄²⁻ < CN⁻\n",
"(2) CN⁻ < C₂O₄²⁻ < SCN⁻ < F⁻\n",
"(3) SCN⁻ < F⁻ < C₂O₄²⁻ < CN⁻\n",
"(4) SCN⁻ < F⁻ < CN⁻ < C₂O₄²⁻\n",
"\n",
"\n",
"no\n",
"no\n",
"chemistry\n",
"\n",
"146\n",
"ಕೆಳಗಿನಗಳಲ್ಲಿ ಯಾವುದು ಕ್ಯಾಟಲಿಸ್ಟ್ ಮಾದರಿಯಾಗಿದೆ ?\n",
"\n",
"(1) ಸಿಟ್ರಿಕ್ ಆಮ್ಲದ ಅಸಿಟಿಕ್ ಆಮ್ಲದ ಡೀಹೈಡ್ರೇಟ್\n",
"(2) ಸೋಡಿಯಂ ಹೈಡ್ರೋಸಲ್ಫೈಟ್ ಸೊಲ್ಯೂಷನ್\n",
"(3) ಸೋಡಿಯಂ ತಾರ್ಟರೇಟ್ ಸೊಲ್ಯೂಷನ್\n",
"(4) ಸೋಡಿಯಂ ಸಿಲಿಕೇಟ್\n",
"\n",
"\n",
"no\n",
"no\n",
"chemistry\n",
"\n",
"147\n",
"ಕೆಳಗಿನಗಳಲ್ಲಿ ಯಾವುದು ಸಮಭಾಗದ ಪರಮಾಣುಗಳನ್ನು ಹೊಂದಿದೆ ?\n",
"\n",
"(1) 1 ಗ್ರಾಂ ಸಮತ O₂(ಆಕ್ಸಿಜನ್) [O ಯ ಪರಮಾಣು ಸಂಖ್ಯೆ = 16]\n",
"(2) 1 ಗ್ರಾಂ ಸಮತ Li(ಲಿಥಿಯಂ) [Li ಯ ಪರಮಾಣು ಸಂಖ್ಯೆ = 7]\n",
"(3) 1 ಗ್ರಾಂ ಸಮತ Ag(ಸಿಲ್ವರ್) [Ag ಯ ಪರಮಾಣು ಸಂಖ್ಯೆ = 108]\n",
"(4) 1 ಗ್ರಾಂ ಸಮತ Mg(ಮ್ಯಾಗ್ನೀಸಿಯಂ) [Mg ಯ ಪರಮಾಣು ಸಂಖ್ಯೆ = 24]\n",
"\n",
"\n",
"no\n",
"no\n",
"chemistry\n",
"\n",
"148\n",
"ತಪ್ಪಾದ ಜೋಡಣೆಯನ್ನು ಕಂಡುಹಿಡಿಯಿರಿ.\n",
"\n",
"(a) ಫೆನೋಲ್ (i) ಹೈಡ್ರೋಕ್ಸಿಬೆನ್ಜೀನ್\n",
"(b) ಫೆನೋಲ್ (ii) ರೆಸೋರ್ಸಿನಾಲ್\n",
"(c) ಫೆನೋಲ್ (iii) ಹೈಡ್ರೋಕ್ಸಿಬೆನ್ಜೀನ್\n",
"(d) ಫೆನೋಲ್ (iv) ಡೈಹೈಡ್ರೋಕ್ಸಿಬೆನ್ಜೀನ್\n",
"(1) (c), (iii)\n",
"(2) (d), (iv)\n",
"(3) (a), (i)\n",
"(4) (b), (ii)\n",
"\n",
"\n",
"no\n",
"no\n",
"chemistry\n",
"Page 17 is consistent.\n",
"Saving data to: /content/results/1640593808NEET%202020%20Kannada%20F1%20QP.pdf_page_17.json\n",
"Data saved: /content/results/1640593808NEET%202020%20Kannada%20F1%20QP.pdf_page_17.json\n",
"Page: 18 / 22\n",
"Response for page 18:\n",
"149\n",
"ಈಗಿನ ಯಾವ ಅಮೈನ್, ಗಾಬ್ರಿಯಲ್ ಫಥಾಲಿಮೈಡ್ ಪರಿಕ್ರಿಯೆಯನ್ನು ನೀಡುತ್ತದೆ?\n",
"\n",
"(1) \n",
"(2) \n",
"(3) \n",
"(4) \n",
"\n",
" \n",
"yes\n",
"no\n",
"chemistry\n",
"\n",
"150\n",
"ಕಾರದ ಪರಿಕ್ರಮಣದಿಂದ ಕಳಪೆ ವಾಯುಗಳ ಒಂದು ಉದಾಹರಣೆಯಾಗಿದೆ:\n",
"\n",
"(1) ತಲೆ ಪಾರದ ಪರಿಕ್ರಮಣ\n",
"(2) ಶುದ್ಧ (ಅನಿಲ ಸಾಲೆ) ಪರಿಕ್ರಮಣ\n",
"(3) ತಲೆ ಪಾರದ ಪರಿಕ್ರಮಣ\n",
"(4) ಶುದ್ಧ ಪರಿಕ್ರಮಣ\n",
"\n",
" \n",
"no\n",
"no\n",
"chemistry\n",
"\n",
"151\n",
"N₂ (ನೈಟ್ರೋಜನ್) ಮತ್ತು Ar (ಆರ್ಗಾನ್) ಅಲೋಯಗಳ ಮಿಶ್ರಣವು 7 ಗ್ರಾಂ N₂ ಮತ್ತು 8 ಗ್ರಾಂ Ar ಹೊಂದಿರುತ್ತದೆ. ಇಂದರೆ, ಅಲೋಯದಲ್ಲಿರುವ ಒಟ್ಟು ಮಿಶ್ರಣದ 27 ಬಾರ್ ಒತ್ತಡ N₂ (ನೈಟ್ರೋಜನ್) ನ ಆಂಶಿಕ ಒತ್ತಡ:\n",
"\n",
"(1) 15 ಬಾರ್\n",
"(2) 18 ಬಾರ್\n",
"(3) 9 ಬಾರ್\n",
"(4) 12 ಬಾರ್\n",
"\n",
" \n",
"no\n",
"yes\n",
"chemistry\n",
"\n",
"152\n",
"₇₁₇₅Lu ನ್ನು ಇತರ ಪ್ಲೇಟಿನಾಗಳು, ಸೂತ್ರಗಳು ಮತ್ತು ಎಲೆಕ್ಟ್ರಾನಗಳ ಸಂಖ್ಯೆಯು ಕ್ರಮವಾಗಿ:\n",
"\n",
"(1) 71, 71 ಮತ್ತು 104\n",
"(2) 175, 104 ಮತ್ತು 71\n",
"(3) 71, 104 ಮತ್ತು 71\n",
"(4) 104, 71 ಮತ್ತು 71\n",
"\n",
" \n",
"no\n",
"no\n",
"chemistry\n",
"\n",
"153\n",
"ಮೋಲೆರ ದಶಕ ತಾಪಮಾನವು ತ್ರಿಕೋನ ತಾಪ ನಿಯಂತ್ರಣವು 4.606×10⁻³ s⁻¹ ಅಂದರೆ 2.0 ಗ್ರಾಂ ತಾಪ ನಿಯಂತ್ರಣವು 0.2 ಗ್ರಾಂ ಗೆ ಇತರವು ತಾಪಮಾನ ಸಮತೋಲನ:\n",
"\n",
"(1) 500 s\n",
"(2) 1000 s\n",
"(3) 100 s\n",
"(4) 200 s\n",
"\n",
" \n",
"no\n",
"no\n",
"chemistry\n",
"\n",
"154\n",
"ಎಲೆಕ್ಟ್ರಾನ್ಗಳಲ್ಲಿ ಅತ್ಮವಿಕಾರವು ಅಲೋಯದ ಕಂದಾಯವಿದೆ:\n",
"\n",
"(1) C₂\n",
"(2) O₂\n",
"(3) He₂\n",
"(4) Li₂\n",
"\n",
" \n",
"no\n",
"no\n",
"chemistry\n",
"\n",
"155\n",
"ಸುಲ್ಫರಸ್ ಪರಿಕ್ರಮಣವು, ಕೇವಲ ಸಮೀಕರಣದಲ್ಲಿ ನೀಡಲಾಗಿದೆ:\n",
"\n",
"(1) 8.314 J mol⁻¹K⁻¹ × 300 K × ln(3×10¹³)\n",
"(2) -8.314 J mol⁻¹K⁻¹ × 300 K × ln(4×10¹³)\n",
"(3) -8.314 J mol⁻¹K⁻¹ × 300 K × ln(2×10¹³)\n",
"(4) 8.314 J mol⁻¹K⁻¹ × 300 K × ln(2×10¹³)\n",
"\n",
" \n",
"no\n",
"no\n",
"chemistry\n",
"\n",
"156\n",
"2Cl(g) → Cl₂(g), ಈ ಕ್ರಿಯೆಯ ಸಮತೋಲನ:\n",
"\n",
"(1) ΔH < 0 ಮತ್ತು ΔS > 0\n",
"(2) ΔH < 0 ಮತ್ತು ΔS < 0\n",
"(3) ΔH > 0 ಮತ್ತು ΔS > 0\n",
"(4) ΔH > 0 ಮತ್ತು ΔS < 0\n",
"\n",
" \n",
"no\n",
"no\n",
"chemistry\n",
"\n",
"157\n",
"Ni(OH)₂ ನ ದ್ರಾವಣವು 2×10⁻¹⁵ ಅಂದರೆ, 0.1 M NaOH ನ Ni(OH)₂ ನ ದ್ರಾವಣವನ್ನು ಕಂಡುಹಿಡಿಯಿರಿ:\n",
"\n",
"(1) 1×10⁻¹³ M\n",
"(2) 1×10⁸ M\n",
"(3) 2×10⁻¹³ M\n",
"(4) 2×10⁸ M\n",
"\n",
" \n",
"no\n",
"no\n",
"chemistry\n",
"Page 18 is consistent.\n",
"Saving data to: /content/results/1640593808NEET%202020%20Kannada%20F1%20QP.pdf_page_18.json\n",
"Data saved: /content/results/1640593808NEET%202020%20Kannada%20F1%20QP.pdf_page_18.json\n",
"Page: 19 / 22\n",
"Response for page 19:\n",
"158\n",
"ಪ್ಲಾಟಿನಂ (Pt) ವಿದ್ಯುದ್ರವ್ಯದಿಂದ ದುಬಾರಾ ಗಂಧಕವನ್ನು, ಎಲೆಕ್ಟ್ರೋಲೈಸೇಶನ್ ಮಾಡಿದರೆ, ಧನ ವಿದ್ಯುದ್ರವ್ಯದಲ್ಲಿ ಬಿದ್ದಿರುವುದಾದು ಯಾವುದು :\n",
"\n",
"(1) H₂S ಅಲೆ\n",
"(2) SO₂ ಅಲೆ\n",
"(3) ಅಲೆಹಸುವ ಅಲೆ\n",
"(4) ಅಲೆಹಸುವ ಅಲೆ\n",
"\n",
" \n",
"no\n",
"no\n",
"chemistry\n",
"\n",
"159\n",
"ಕಾಲ್ಮಾರ್ ಮಾಸ್ಟರ್ಸ್ ಕಿರಣದ ಕಣಗಳ ಯಾತ್ರೆಯು ಯಾವುದು ?\n",
"\n",
"(1) ಕಾರ್ಬನ್‌ಮೋನಾಕ್ಸೈಡ್‌ (ಕಾರ್ಬನ್‌ಮೋನಾಕ್ಸೈಡ್‌ CO) ಕಿರಣದ ಯಾತ್ರೆಯು ಕಣದ ಹಾರ್ಡ್‌ ಕಣವು.\n",
"(2) ಅಲೆಹಸುವ ದ್ರವಮಾನದಿಂದಲೂ ಕಣದ ಯಾತ್ರೆಯು.\n",
"(3) ಕಣದ ರಾಸಾಯನಿಕತೆಯು ಮಾಸ್ಟರ್ಸ್.\n",
"(4) ಇವು ಕಣದ ದ್ರವಮಾನದಿಂದಲೂ ಕಣದ ಸಗಟು ನಾಮಮಾತ್ರದಿಂದಲೂ ಕಣದ ಯಾತ್ರೆಯು.\n",
"\n",
" \n",
"no\n",
"no\n",
"physics\n",
"\n",
"160\n",
"ಪ್ರದತ್ತ CaCl₂ 10ದ 20 g ಕ್ರಿಯಾಯಿಂಪದ, ಪದಾರ್ಥದ ಅಣುಭಾರವಾದುದನ್ನು ಕ್ರಿಯಾಯಿಂಪದ (F) ಹೇಳುವುದು : (ದತ್ತ : ಕ್ರಿಯಾಯಿಂಪದ ಪರಿಮಾಣ 40 g mol⁻¹)\n",
"\n",
"(1) 3\n",
"(2) 4\n",
"(3) 1\n",
"(4) 2\n",
"\n",
" \n",
"no\n",
"no\n",
"chemistry\n",
"\n",
"161\n",
"2-ಚೊಮೋ-4-ಪೆಂಟೇನ್‌ ವಿಲೇವನ ಕ್ರಿಯೆಯಲ್ಲಿ ಪೆಂಟೇನ್‌-2-ಕ್ಲೋರ್ ನೀಡಿದುದು ಯಾವುದು :\n",
"\n",
"(a) β-ಇಸೊಮರ್‌ ತ್ರಿಪು\n",
"(b) ಕ್ರಿಯಾಸಮಯ ಪಾರಮ್ಯವು\n",
"(c) ಎಲೆಕ್ಟ್ರೋಫಿಲಿಕ್‌ ತ್ರಿಪು\n",
"(d) ನ್ಯೂಕ್ಲಿಫಿಲಿಕ್‌ ತ್ರಿಪು\n",
"(1) (b), (c), (d)\n",
"(2) (a), (b), (d)\n",
"(3) (a), (b), (c)\n",
"(4) (a), (c), (d)\n",
"\n",
" \n",
"no\n",
"no\n",
"chemistry\n",
"\n",
"162\n",
"ಕೆಳಗಿನ ಸಮೀಕರಣದಲ್ಲಿ ಇಂಗಾಲದ ಉತ್ಕರ್ಷಣೆ ಸಂಯೋಜನೆ ಬರುವುದಾದು ಯಾವುದು ?\n",
"\n",
"CH₄(g) + 4Cl₂(g) → CCl₄(l) + 4HCl(g)\n",
"(1) - 4 ಇಂದ + 4\n",
"(2) 0 ಇಂದ - 4\n",
"(3) + 4 ಇಂದ + 4\n",
"(4) 0 ಇಂದ + 4\n",
"\n",
" \n",
"no\n",
"no\n",
"chemistry\n",
"\n",
"163\n",
"ಕೆಳಗಿನ ಯಾವ ಆಮ್ಲವನ್ನು ಪ್ರಥಮವಾಗಿ ತಯಾರಿಸಿದ (ಪ್ರಮಾಣಿತವಾಗಿ) ತಯಾರಿಸಲಾಗಿಲ್ಲ ?\n",
"\n",
"(1) n-ಹೆಕ್ಸೇನ್‌\n",
"(2) n-ಬ್ಯೂಟೇನ್‌\n",
"(3) n-ಹೆಪ್ಟೇನ್‌\n",
"(4) 2,3-ಡೈಮೆಥೈಲ್‌ಹೆಕ್ಸೇನ್‌\n",
"\n",
" \n",
"no\n",
"no\n",
"chemistry\n",
"\n",
"164\n",
"ಸಕ್ಕರೆಯು ಬಲಪಕ್ಷೀಯವಾಗಿರುವಾಗ ಬರುವುದಾದು :\n",
"\n",
"(1) α-D-ಗ್ಲೂಕೋಸ್‌ + β-D-ಗ್ಲೂಕೋಸ್‌\n",
"(2) α-D-ಗ್ಲೂಕೋಸ್‌ + β-D-ಫ್ರುಕ್ಟೋಸ್‌\n",
"(3) β-D-ಗ್ಲೂಕೋಸ್‌ + α-D-ಫ್ರುಕ್ಟೋಸ್‌\n",
"(4) α-D-ಗ್ಲೂಕೋಸ್‌ + β-D-ಗ್ಲೂಕೋಸ್‌\n",
"\n",
" \n",
"no\n",
"no\n",
"chemistry\n",
"\n",
"165\n",
"ಸಮತೂಲ್ಯತೆ ಹೇಳಿಕೆಯನ್ನು ಗುರುತಿಸಿ.\n",
"\n",
"(1) ಗಾಳೆ ಪರಮಾಣುಗಳ H, C ಅಣುಗಳ N ಗಾಳೆ ಲೋಹದ ಜಾರಣೆಯ ಅಣುಗಳ ತಪಾಗಳಲ್ಲಿ ಸಿಗುತ್ತವೆ ಎಂದು ಭರತ ಸಮತೂಲ್ಯತೆ ಉಲ್ಲೇಖಿಸುತ್ತದೆ.\n",
"(2) CrO₄²⁻ ಮತ್ತು Cr₂O₇²⁻ ಗಳು ಕ್ರೋಮಿಯಂನ ಅಣುಗಳ ಸಮತೂಲ್ಯತೆಯ ಸಿದ್ಧಾಂತವನ್ನು ಉಲ್ಲೇಖಿಸುತ್ತದೆ.\n",
"(3) ನಿಲುವಂಗ Fe²⁺(d⁶) ನಿಂದ Cr²⁺(d⁴) ತಪ ಪ್ರಭಾವ ಅಣುಗಳ ಸಮತೂಲ್ಯತೆಯು.\n",
"(4) ಸಮತೂಲ್ಯ ಲೋಹಗಳು ಮತ್ತು ಅಲೋಹ ಸಂಯುಕ್ತಗಳು ತಪ ಮತ್ತು ಉತ್ಕರ್ಷಣೆ ಸಿದ್ಧಾಂತದ ಹೋಲಿಕೆಯು ಮತ್ತು ಸಂಯೋಜನೆಗಳ, ದ್ರವಮಾನ ಸಾಮರ್ಥ್ಯದಿಂದಲೂ ಕಣದ ಪರಮಾಣುಗಳ ಸಮತೂಲ್ಯತೆಯು.\n",
"\n",
" \n",
"no\n",
"no\n",
"chemistry\n",
"\n",
"166\n",
"HCl ನ್ನು CaCl₂, MgCl₂ ಮತ್ತು NaCl ಪ್ರತ್ಯೇಕವಾಗಿ ಹಾನಿಯಾಗುವ ಕಣಗಳ ಯಾತ್ರೆಯು ಸಂಯೋಜನೆ (ಗಣ) ಪರಿಮಾಣವು :\n",
"\n",
"(1) MgCl₂ ಮಾಸ್ಟರ್ಸ್\n",
"(2) NaCl, MgCl₂ ಮತ್ತು CaCl₂\n",
"(3) MgCl₂ ಮತ್ತು CaCl₂ ಎರಡೂ ಸಮ\n",
"(4) NaCl ಮಾಸ್ಟರ್ಸ್\n",
"\n",
" \n",
"no\n",
"no\n",
"chemistry\n",
"Page 19 is consistent.\n",
"Saving data to: /content/results/1640593808NEET%202020%20Kannada%20F1%20QP.pdf_page_19.json\n",
"Data saved: /content/results/1640593808NEET%202020%20Kannada%20F1%20QP.pdf_page_19.json\n",
"Page: 20 / 22\n",
"Response for page 20:\n",
"167\n",
"ವಾಯುಗಳಲ್ಲಿ ಸಂಯೋಜಕ ಶಕ್ತಿಯನ್ನು ಗುರುತಿಸಿ ಒದಗಿಸಿ :\n",
"\n",
"(a) CO₂(ಅರಗೋನ) ತ್ರಿಗಾತ್ರೀಯ ವಿಕೃತಗೋಚಿ ಮತ್ತು ತ್ರಿಕೋನ ಭೂಮಿತೀಯ ವಿಕೃತಗೋಚಿ.\n",
"(b) C₆₀ ರಚನೆಯ 12 ಅಣು ಕಾರ್ಬನ್ ಅಣುಗಳಿಂದ 20 ಅಣು ಕಾರ್ಬನ್ ಅಣುಗಳಿಂದ ಇರುತ್ತದೆ.\n",
"(c) ZSM-5, ಒಂದು ಜಿಯೋಲೈಟ್ ಆಗಿದ್ದು, ಆಲ್ಕೇನ್‌ಗಳನ್ನೂ, ಗ್ಯಾಸೋಲಿನ್‌ಗಳನ್ನೂ ಪರಿವರ್ತನೆಗೊಳಿಸುತ್ತದೆ.\n",
"(d) CO ಅಣುವಿನ ಬಲ್ಬುಗಳು ಮತ್ತು ಬಾಂದ ಬಲವು ಒಂದೇನಾಗಿರುತ್ತದೆ.\n",
"\n",
"(1)\n",
"no\n",
"no\n",
"chemistry\n",
"\n",
"168\n",
"ಒಂದು ಪ್ರಕ್ರಿಯೆಯ ಕ್ರಿಯಾತ್ಮಕತೆಯ ಸಾಂದ್ರತೆಯನ್ನು ಹೇಗೆಗೋಣಗ ಉಲ್ಬಣಿಸಬಹುದು :\n",
"\n",
"(1) ತಾಪದ ಶಕ್ತಿ\n",
"(2) ಸಂಯೋಜಕ ತಾಪದ ಶಕ್ತಿ\n",
"(3) ಸಾಂದ್ರತೆಯ ಶಕ್ತಿ\n",
"(4) ಶ್ರೇಣಿಯ ಶಕ್ತಿ\n",
"\n",
" \n",
"no\n",
"no\n",
"chemistry\n",
"\n",
"169\n",
"ಕ್ರೋಮಿಯಮ್ Cr²⁺ ಅಯೋನದ ಭೂಮಿತೀಯ ಶಕ್ತಿಯ ಮೌಲ್ಯ ಎಷ್ಟು :\n",
"\n",
"(1) 5.92 BM\n",
"(2) 2.84 BM\n",
"(3) 3.87 BM\n",
"(4) 4.90 BM\n",
"\n",
" \n",
"no\n",
"no\n",
"chemistry\n",
"\n",
"170\n",
"ಕೆಳಗಿನವುಗಳಲ್ಲಿ ಹೋಮೋಲಿಸ ಮತ್ತು ಸಂಯೋಜಕ ಶಕ್ತಿಯನ್ನು ಗುರುತಿಸಿ.\n",
"\n",
"(a) CO(g) + H₂(g) (i) Mg(HCO₃)₂ + Ca(HCO₃)₂\n",
"(b) ತಾಪ್ತೀಯಮಾನದ (ii) ಎಲೆಕ್ಟ್ರೋಲಿಟಿಕ್\n",
"(c) B₂H₆ (iii) ಸಂಯೋಜಕ ಅಲೋ\n",
"(d) H₂O₂ (iv) ತಾಪ್ತೀಯಮಾನದ\n",
"\n",
"(4)\n",
"no\n",
"no\n",
"chemistry\n",
"\n",
"171\n",
"ಕೆಳಗಿನ ಯಾವ ಮಿಶ್ರಣ ತಾಪನದಿಂದ ಧಾತುತ್ವ ಬಲವರ್ಧಿತವಾಗುತ್ತದೆ ?\n",
"\n",
"(1) ಎಥಿಲೀನ್ + ಹೈಡ್ರೋಕಾರ್ಬನ್\n",
"(2) ಕೀಟೋನೈಡ್ + ಹೈಡ್ರೋಕಾರ್ಬನ್\n",
"(3) ಇಥೆನಾಲ್ + ಎಥಿಲೀನ್\n",
"(4) ಬೆನ್ಜೀನ್ + ಬಾರಿಯಮ್\n",
"\n",
" \n",
"no\n",
"no\n",
"chemistry\n",
"\n",
"172\n",
"ಅರೋಮಾಟಿಕ್ HI ಜೊತೆಗೆ ಆಲ್ಕೋಹಾಲ್ ಉಲ್ಬಣಗೊಳ್ಳುತ್ತದೆ :\n",
"\n",
"(1) + C₂H₅I\n",
"(2) + C₂H₅OH\n",
"(3) + CH₃I\n",
"(4) + CH₃OH\n",
"\n",
" \n",
"yes\n",
"no\n",
"chemistry\n",
"\n",
"173\n",
"ಯಾವುದಾದರೂ ನಿರೀಕ್ಷಣೆಯು ತಪಾಸಣೆಗೆ ಉಪಯುಕ್ತವಾಗುವ A ಯಾವ ಬಲ್ಬುಗಳಿಗೋಣಗ B ಯಾವು, ಕೊನೆಗೋಣಗ B ಅಯೋನ, Cu²⁺ (aq) ಪ್ರಕ್ರಿಯೆಗೆ ಸೇರ್ಪಡೆಯಾಗುತ್ತದೆ, ಕಡಿಮೆ ನೀಲಿ ಬಲ್ಬು ಪ್ರಕ್ರಿಯೆ C ಆಗುತ್ತದೆ. ಹೀಗಾಗಿ ಈ ಕೆಳಗಿನವುಗಳಲ್ಲಿ C ಯಾವ ಶಕ್ತಿ ಯಾಗುತ್ತದೆ ?\n",
"\n",
"(1) Cu(OH)₂\n",
"(2) CuCO₃·Cu(OH)₂\n",
"(3) CuSO₄\n",
"(4) [Cu(NH₃)₄]²⁺\n",
"\n",
" \n",
"no\n",
"yes\n",
"chemistry\n",
"Page 20 is consistent.\n",
"Saving data to: /content/results/1640593808NEET%202020%20Kannada%20F1%20QP.pdf_page_20.json\n",
"Data saved: /content/results/1640593808NEET%202020%20Kannada%20F1%20QP.pdf_page_20.json\n",
"Page: 21 / 22\n",
"Response for page 21:\n",
"174\n",
"ಪೊಟಾಶಿಯಂ ಫ್ಲೋರೈಡ್ ಬಿಂದು ಕುಸಿತ ಸ್ಥಿರಾಂಕ (Kf) ಪ್ರ 5.12 K kg mol−1 ಇದೆ. ಅಂತರ್ಮೂಲ್ಯಿಕ ದ್ರವ್ಯದಿಂದ ಪೊಟಾಶಿಯಂ ಫ್ಲೋರೈಡ್ ದ್ರಾವಣದ ದ್ರವ್ಯರಾಶಿ ಬಿಂದು ಕುಸಿತ (ಎಂದರೆ ತಾಪಮಾನ) ಹೀಗಿದೆ:\n",
"\n",
"(1) 0.40 K\n",
"(2) 0.60 K\n",
"(3) 0.20 K\n",
"(4) 0.80 K\n",
"\n",
" \n",
"no\n",
"no\n",
"chemistry\n",
"\n",
"175\n",
"ಕೆಳಗಿನ ಯಾವ ಸಂಯುಕ್ತದ ಅಣುಪೂರ್ವಕವು -O-O- ಕೊಂಡಿಯನ್ನೊಳಗೊಂಡಿದೆ?\n",
"\n",
"(1) H2S2O8 ಪೆರೊಡಿಸಲ್ಫ್ಯೂರಿಕ್ ಆಮ್ಲ\n",
"(2) H2S2O7 ಪೈರೊಸಲ್ಫ್ಯೂರಿಕ್ ಆಮ್ಲ\n",
"(3) H2SO3 ಸಲ್ಪರಸ್ ಆಮ್ಲ\n",
"(4) H2SO4 ಸಲ್ಪ್ಯೂರಿಕ್ ಆಮ್ಲ\n",
"\n",
" \n",
"no\n",
"no\n",
"chemistry\n",
"\n",
"176\n",
"ಕೆಳಗಿನ ಹೇಳಿಕೆಗಳನ್ನು ಗಮನಿಸಿ ಸಮಾಧಾನಗೊಳ್ಳಿ.\n",
"\n",
"(1) ನಾವ್ ಹಾರ್ನ್ ದ್ವಾರಕಾ ಪ್ರದೇಶದ ಒಂದು ಸ್ಮಿತ ಸಂಸ್ಕೃತಿಯ ಪುರಾತತ್ವಸ್ಥಳವಾಗಿದೆ.\n",
"(2) ಲೋಹದ ಪ್ರಾರಂಭಿಕ ಅವಧಿ ಕಳಕತ್ತಾದಲ್ಲಿ ಪ್ರಾರಂಭವಾಯಿತು.\n",
"(3) ಮಸೂದ ಬಡಗಿಯು ಕ್ರಿ. 4 ಶತಮಾನದಂಗವದ ಪುರಾತತ್ವಸ್ಥಳವಾಗಿದೆ.\n",
"(4) ಕಬ್ಬಿಣದ ಕಾಲ (ಯೂರೋಪ್ ಕಾಲ) CO2 ಉತ್ಪಾದನೆ ಕಾರಣದಿಂದ ತಾಪಮಾನವು ಹೆಚ್ಚಿದ ಕಾರಣವಾಗಿದೆ.\n",
"\n",
" \n",
"no\n",
"no\n",
"botany\n",
"\n",
"177\n",
"ಕೆಳಗಿನ ಯಾವದು ಸ್ವಾಭಾವಿಕ ಪಾಲಿಮರ್ ಆಗಿದೆ?\n",
"\n",
"(1) ಪಾಲಿಬ್ಯೂಟಾಡೈನ್\n",
"(2) ನೈಲೋನ್ (ಬ್ಯೂಟಾಡೈನ್-ಅಡಿಪಿಕ್ ಆಮ್ಲ)\n",
"(3) ಪಿ.ವಿ.ಸಿ.-ಪಾಲಿವಿನೈಲ್ಕ್ಲೋರೈಡ್\n",
"(4) ನೈಲೋನ್ (ಬ್ಯೂಟಾಡೈನ್-ಸೊರೈಕಾ)\n",
"\n",
" \n",
"no\n",
"no\n",
"chemistry\n",
"\n",
"178\n",
"ಒಂದು ಶ್ರೇಣಿಯಾಕೃತಿಯ ಬಿಂದು-ಕೇಂದ್ರಿತ ಘನ ಚತುರಸ್ರ (bcc) ಅಣುಗಳ ಪೂರಕದ ಕಣಗಳ ಅಂತರವು 288 pm ಆದರೆ, ಶ್ರೇಣಿಯಾಕೃತಿಯ ಶ್ರೇಣಿಯು:\n",
"\n",
"(1) 4/√3 × 288 pm\n",
"(2) 4/√2 × 288 pm\n",
"(3) √3 × 288 pm\n",
"(4) √2/4 × 288 pm\n",
"\n",
" \n",
"no\n",
"no\n",
"chemistry\n",
"\n",
"179\n",
"ಒಂದು ಆಲ್ಕೀನ್ ಅನ್ನು ಓಜೊನೊಲಿಸಿಸ್ಗೆ ಒಳಪಡಿಸಿದಾಗ ಮೆಥಾನಾಲ್ (CH3OH) ಒಂದು ಉತ್ಪನ್ನವಾಗಿ ಬರುವುದು. ಹೀಗಾದರೆ ಇದರ ರಚನೆಯು:\n",
"\n",
"(1) \n",
"(2) \n",
"(3) \n",
"(4) \n",
"\n",
" \n",
"yes\n",
"no\n",
"chemistry\n",
"\n",
"180\n",
"ಕೆಳಗಿನ ಆಲ್ಕೇನ್ ಸಂಯುಕ್ತಗಳ ಯಾದವದು (ಸಹಜ) ಕೊನೆಗ ಪ್ರಥಮಯ ಮಥಾನೋಲಿಸಿಸ್ಗೆ ಒಳಗಾಗುತ್ತದೆ?\n",
"\n",
"(1) ನೈಟ್ರೊಜನ್ ಟ್ರೈಫ್ಲೋರೈಡ್. ಪೆರೊಡಿಕಾಮ್ ಟ್ರೈಫ್ಲೋರೈಡ್. ನೀರು, 1,3-ಟ್ರೈಫ್ಲೋರೊಡಿಕಾಮಿನ್\n",
"(2) ಜೋಡೊ ಟ್ರೈಫ್ಲೋರೈಡ್. ಪೆರೊಡಿಕಾಮ್ ಟ್ರೈಫ್ಲೋರೈಡ್. ನೀರು, 1,4-ಟ್ರೈಫ್ಲೋರೊಡಿಕಾಮಿನ್\n",
"(3) ಅಸೋನಿಯ, ಪೆರೊಡಿಕಾಮ್ ಟ್ರೈಫ್ಲೋರೈಡ್. ನೀರು, 1,4-ಟ್ರೈಫ್ಲೋರೊಡಿಕಾಮಿನ್\n",
"(4) ಜೋಡೊ ಟ್ರೈಫ್ಲೋರೈಡ್. ಪೆರೊಡಿಕಾಮ್ ಟ್ರೈಫ್ಲೋರೈಡ್. ನೀರು, 1,3-ಟ್ರೈಫ್ಲೋರೊಡಿಕಾಮಿನ್\n",
"\n",
" \n",
"no\n",
"no\n",
"chemistry\n",
"Page 21 is consistent.\n",
"Saving data to: /content/results/1640593808NEET%202020%20Kannada%20F1%20QP.pdf_page_21.json\n",
"Data saved: /content/results/1640593808NEET%202020%20Kannada%20F1%20QP.pdf_page_21.json\n",
"Page: 22 / 22\n",
"Response for page 22:\n",
"There are no multiple-choice questions present in the attached image. The image only contains text indicating \"Space For Rough Work\" in both English and Kannada.\n",
"Page 22 is consistent.\n",
"Saving data to: /content/results/1640593808NEET%202020%20Kannada%20F1%20QP.pdf_page_22.json\n",
"Data saved: /content/results/1640593808NEET%202020%20Kannada%20F1%20QP.pdf_page_22.json\n",
"1640593808NEET%202020%20Kannada%20F1%20QP.pdf_page_10.json\n",
"1640593808NEET%202020%20Kannada%20F1%20QP.pdf_page_11.json\n",
"1640593808NEET%202020%20Kannada%20F1%20QP.pdf_page_12.json\n",
"1640593808NEET%202020%20Kannada%20F1%20QP.pdf_page_13.json\n",
"1640593808NEET%202020%20Kannada%20F1%20QP.pdf_page_14.json\n",
"1640593808NEET%202020%20Kannada%20F1%20QP.pdf_page_15.json\n",
"1640593808NEET%202020%20Kannada%20F1%20QP.pdf_page_16.json\n",
"1640593808NEET%202020%20Kannada%20F1%20QP.pdf_page_17.json\n",
"1640593808NEET%202020%20Kannada%20F1%20QP.pdf_page_18.json\n",
"1640593808NEET%202020%20Kannada%20F1%20QP.pdf_page_19.json\n",
"1640593808NEET%202020%20Kannada%20F1%20QP.pdf_page_1.json\n",
"1640593808NEET%202020%20Kannada%20F1%20QP.pdf_page_20.json\n",
"1640593808NEET%202020%20Kannada%20F1%20QP.pdf_page_21.json\n",
"1640593808NEET%202020%20Kannada%20F1%20QP.pdf_page_22.json\n",
"1640593808NEET%202020%20Kannada%20F1%20QP.pdf_page_2.json\n",
"1640593808NEET%202020%20Kannada%20F1%20QP.pdf_page_3.json\n",
"1640593808NEET%202020%20Kannada%20F1%20QP.pdf_page_4.json\n",
"1640593808NEET%202020%20Kannada%20F1%20QP.pdf_page_5.json\n",
"1640593808NEET%202020%20Kannada%20F1%20QP.pdf_page_6.json\n",
"1640593808NEET%202020%20Kannada%20F1%20QP.pdf_page_7.json\n",
"1640593808NEET%202020%20Kannada%20F1%20QP.pdf_page_8.json\n",
"1640593808NEET%202020%20Kannada%20F1%20QP.pdf_page_9.json\n"
]
}
],
"source": [
"!pip install openai pdf2image pillow\n",
"!apt-get install -y poppler-utils\n",
"\n",
"import os\n",
"import re\n",
"import json\n",
"import time\n",
"import base64\n",
"import pandas as pd\n",
"import openai\n",
"from openai import (\n",
" OpenAI,\n",
" APITimeoutError,\n",
" APIConnectionError,\n",
" RateLimitError,\n",
" InternalServerError,\n",
")\n",
"from pdf2image import convert_from_path\n",
"\n",
"\n",
"pdf_path = \"/content/NEET_2020_Kannada_F1.pdf\"\n",
"\n",
"language = \"Kannada\"\n",
"page_start = 0\n",
"page_end = 29 # Adjust as needed\n",
"source = \"https://images.collegedunia.com/public/college_data/images/entrance/sample_paper/1640593808NEET%202020%20Kannada%20F1%20QP.pdf\"\n",
"\n",
"# Pre-prompt for GPT\n",
"pre_prompt = \"\"\"Please extract the multiple-choice questions in the attached image in the {} language in which they appear. There can be one or multiple questions per page. The question number should be inside the tags, the question should be inside the tags and the choices inside the tags . Also, determine the category of question from the following - physics, chemistry, botany, zoology. Like if it belongs to chemistry output chemistry. If the question requires some image or a figure to arrive at an answer respond with yes else respond with no. If a particular question requires referring to a passage, respond with yes else respond with no. Additionally, the correct answer might be present in the image either explicitly provided or by a mark next to the correct answer of the multiple choices. Provide the number or letter of the correct answer between the tags . If no answer is present, leave empty.\n",
"The output format should be the following, depending on the number of choices present:\n",
" \n",
"\n",
"\n",
" \n",
"\n",
"\n",
"\n",
"\"\"\"\n",
"\n",
"# Category mapping function\n",
"def map_category_to_subject(category):\n",
" category_map = {\n",
" \"physics\": {\"en\": \"Physics\", \"kn\": \"ಭೌತಶಾಸ್ತ್ರ\"},\n",
" \"chemistry\": {\"en\": \"Chemistry\", \"kn\": \"ರಸಾಯನಶಾಸ್ತ್ರ\"},\n",
" \"botany\": {\"en\": \"Botany\", \"kn\": \"ಸಸ್ಯಶಾಸ್ತ್ರ\"},\n",
" \"zoology\": {\"en\": \"Zoology\", \"kn\": \"ಪ್ರಾಣಿಶಾಸ್ತ್ರ\"},\n",
" }\n",
" return category_map.get(category.lower(), {\"en\": \"Unknown\", \"kn\": \"ಅಜ್ಞಾತ\"}) # Default to 'Unknown' if no match is found\n",
"\n",
"\n",
"# Functions for parsing and GPT interaction\n",
"def parse_gpt_output(response, pdf_path):\n",
" # Regex patterns for extracting data\n",
" question_pattern = re.compile(r\"(.*?)\", re.DOTALL)\n",
" choices_pattern = re.compile(r\"(.*?)\", re.DOTALL)\n",
" answer_pattern = re.compile(r\"(.*?)\", re.DOTALL)\n",
" requires_image_pattern = re.compile(r\"(.*?)\", re.DOTALL)\n",
" category_pattern = re.compile(r\"(.*?)\", re.DOTALL)\n",
" context_pattern = re.compile(r\"(.*?)\", re.DOTALL)\n",
" question_num_pattern = re.compile(r\"(.*?)\", re.DOTALL)\n",
"\n",
" # Extract matches\n",
" question_matches = question_pattern.findall(response)\n",
" choices_matches = choices_pattern.findall(response)\n",
" requires_image = requires_image_pattern.findall(response)\n",
" contexts = context_pattern.findall(response)\n",
" categories = category_pattern.findall(response)\n",
" q_nums = question_num_pattern.findall(response)\n",
"\n",
" # Map categories to one of the four subjects\n",
" mapped_categories = [map_category_to_subject(cat) for cat in categories]\n",
"\n",
" # Parsing choices based on PDF type\n",
" final_matches = []\n",
" for choice_match in choices_matches:\n",
" if choice_match:\n",
" # Capture all options within the choices string\n",
" options = re.findall(r\"\\(\\d\\) ([^\\n]+)\", choice_match)\n",
" if not options: # For formats like (A), (B), (C), (D)\n",
" options = re.findall(r\"\\(([A-Z])\\) ([^\\n]+)\", choice_match)\n",
" options = [opt[1] for opt in options] # Extract the text portion\n",
" final_matches.append(options)\n",
" else:\n",
" final_matches.append([])\n",
"\n",
" return (\n",
" question_matches,\n",
" final_matches,\n",
" requires_image,\n",
" mapped_categories,\n",
" contexts,\n",
" q_nums,\n",
" )\n",
"\n",
"def chat_completion(\n",
" client,\n",
" messages,\n",
" model,\n",
" return_text=True,\n",
" return_usage=True,\n",
" model_args=None,\n",
"):\n",
" \"\"\"\n",
" Calls OpenAI API with the image and the prompt\n",
" \"\"\"\n",
" if model_args is None:\n",
" model_args = {}\n",
"\n",
" while True:\n",
" try:\n",
" response = client.chat.completions.create(\n",
" model=model, messages=messages, **model_args\n",
" )\n",
" text = response.choices[0].message.content.strip()\n",
" usage = response.usage\n",
"\n",
" if return_text and return_usage:\n",
" return text, dict(usage)\n",
"\n",
" if return_text:\n",
" return text\n",
"\n",
" if return_usage:\n",
" return usage\n",
"\n",
" return response\n",
" except (\n",
" APITimeoutError,\n",
" APIConnectionError,\n",
" RateLimitError,\n",
" InternalServerError,\n",
" ) as e:\n",
" print(f\"OpenAI error: {str(e)}. Waiting for 1 minute.\")\n",
" time.sleep(60)\n",
" continue\n",
"\n",
"def encode_image(image_path):\n",
" \"\"\"\n",
" Function to encode the image\n",
" \"\"\"\n",
" with open(image_path, \"rb\") as image_file:\n",
" return base64.b64encode(image_file.read()).decode(\"utf-8\")\n",
"\n",
"# Main function\n",
"def main(pdf_path, openai_key, language, page_start=0, page_end=9999, source=\"\"):\n",
" \"\"\"\n",
" It performs the main text extraction pipeline of the script.\n",
" \"\"\"\n",
" # Create OpenAI client\n",
" client = OpenAI(api_key=openai_key)\n",
"\n",
" pdf_name = \"1640593808NEET%202020%20Kannada%20F1%20QP.pdf\"\n",
"\n",
" # Define paths for 'imgs' and 'results' folders\n",
" parent_directory = os.path.dirname(os.path.dirname(pdf_path))\n",
" imgs_folder = os.path.join(parent_directory, \"imgs\", pdf_name)\n",
" result_path = \"/content/results\" # Explicit path\n",
"\n",
" # Create directories if they don't exist\n",
" os.makedirs(imgs_folder, exist_ok=True)\n",
" os.makedirs(result_path, exist_ok=True)\n",
"\n",
" # Debugging output to check directory paths\n",
" print(f\"Images folder: {imgs_folder}\")\n",
" print(f\"Results folder: {result_path}\")\n",
"\n",
" images = convert_from_path(pdf_path, first_page=1)\n",
" images = images[page_start:page_end]\n",
" page_num = page_start + 1\n",
"\n",
" # Process each image\n",
" results = list()\n",
" q_idx = 0\n",
" for _, image in enumerate(images):\n",
" print(f\"Page: {page_num} / {len(images)}\")\n",
" image_path = os.path.join(imgs_folder, f\"page_{page_num+1}.png\")\n",
" image.save(image_path, \"PNG\")\n",
" base64_image = encode_image(image_path)\n",
"\n",
" # Pass image to GPT-4 for MCQ extraction\n",
" try:\n",
" message = [\n",
" {\"type\": \"text\", \"text\": pre_prompt.format(language)},\n",
" {\n",
" \"type\": \"image_url\",\n",
" \"image_url\": {\"url\": f\"data:image/jpeg;base64,{base64_image}\"},\n",
" },\n",
" ]\n",
" response, _ = chat_completion(\n",
" client,\n",
" [{\"role\": \"user\", \"content\": message}],\n",
" model=\"gpt-4o\",\n",
" return_text=True,\n",
" return_usage=True,\n",
" model_args={\n",
" \"temperature\": 0.0,\n",
" \"max_tokens\": 4096,\n",
" \"top_p\": 1,\n",
" \"frequency_penalty\": 0,\n",
" \"presence_penalty\": 0,\n",
" },\n",
" )\n",
" # Log the response for analysis\n",
" print(f\"Response for page {page_num}:\\n{response}\")\n",
"\n",
" # Process GPT-4 output\n",
" (\n",
" questions,\n",
" choices,\n",
" requires_image,\n",
" mapped_categories,\n",
" contexts,\n",
" q_nums,\n",
" ) = parse_gpt_output(response, pdf_path)\n",
"\n",
" # Check if all extracted elements have the same length\n",
" if not all(\n",
" len(lst) == len(questions)\n",
" for lst in [\n",
" choices,\n",
" requires_image,\n",
" mapped_categories,\n",
" contexts,\n",
" q_nums,\n",
" ]\n",
" ):\n",
" print(f\"Inconsistency detected on page {page_num}:\")\n",
" print(f\"Questions: {len(questions)}, Choices: {len(choices)}, \"\n",
" f\"Requires Image: {len(requires_image)}, Mapped Categories: {len(mapped_categories)}, \"\n",
" f\"Contexts: {len(contexts)}, Question Numbers: {len(q_nums)}\")\n",
"\n",
" # Handle inconsistencies by only considering consistent entries\n",
" min_length = min(len(questions), len(choices), len(requires_image), len(mapped_categories), len(contexts), len(q_nums))\n",
"\n",
" # Truncate lists to the minimum consistent length\n",
" questions = questions[:min_length]\n",
" choices = choices[:min_length]\n",
" requires_image = requires_image[:min_length]\n",
" mapped_categories = mapped_categories[:min_length]\n",
" contexts = contexts[:min_length]\n",
" q_nums = q_nums[:min_length]\n",
"\n",
" print(f\"After truncation: Questions: {len(questions)}, Choices: {len(choices)}, \"\n",
" f\"Requires Image: {len(requires_image)}, Mapped Categories: {len(mapped_categories)}, \"\n",
" f\"Contexts: {len(contexts)}, Question Numbers: {len(q_nums)}\")\n",
" else:\n",
" print(f\"Page {page_num} is consistent.\")\n",
"\n",
" page_results = []\n",
" for question, options, has_image, category, cntx, q_num in zip(\n",
" questions,\n",
" choices,\n",
" requires_image,\n",
" mapped_categories,\n",
" contexts,\n",
" q_nums,\n",
" ):\n",
" new_row = {\n",
" \"language\": \"kn\", # Set language to Kannada's language code 'kn'\n",
" \"country\": \"India\", # Set country to India\n",
" \"file_name\": pdf_name,\n",
" \"source\": source,\n",
" \"license\": \"open\", # Assuming open, adjust if needed\n",
" \"level\": \"University\",\n",
" \"category_en\": category[\"en\"],\n",
" \"category_original_lang\": category[\"kn\"], # Kannada translation\n",
" \"original_question_idx\": q_num,\n",
" \"page_num\": page_num,\n",
" \"question\": question,\n",
" \"options\": options,\n",
" \"answer\": \"\",\n",
" \"requires_image\": has_image,\n",
" \"context\": cntx,\n",
" }\n",
" page_results.append(new_row)\n",
" q_idx += 1\n",
"\n",
" # Save the results to a JSON file without including the raw response\n",
" output_file = os.path.join(result_path, pdf_name + f\"_page_{page_num}.json\")\n",
" print(f\"Saving data to: {output_file}\")\n",
" with open(output_file, \"w\", encoding=\"utf-8\") as json_file:\n",
" json.dump(page_results, json_file, indent=4, ensure_ascii=False)\n",
" print(f\"Data saved: {output_file}\")\n",
"\n",
" page_num += 1\n",
"\n",
" except openai.BadRequestError as e:\n",
" print(f\"Error on page {page_num}: {str(e)}\")\n",
" pass\n",
"\n",
" except Exception as e:\n",
" print(f\"Unexpected error: {str(e)}\")\n",
"\n",
"# Run the main function in Colab\n",
"main(\n",
" pdf_path=pdf_path,\n",
" openai_key=openai_key,\n",
" language=language,\n",
" page_start=page_start,\n",
" page_end=page_end,\n",
" source=source,\n",
")\n",
"\n",
"# List the contents of the results directory for verification\n",
"!ls /content/results\n"
]
},
{
"cell_type": "code",
"source": [
"import os\n",
"import json\n",
"import pandas as pd\n",
"\n",
"# Directory where your JSON files are stored\n",
"json_dir = '/content/results'\n",
"\n",
"# List all JSON files in the directory\n",
"json_files = [pos_json for pos_json in os.listdir(json_dir) if pos_json.endswith('.json')]\n",
"\n",
"# Initialize an empty list to hold each DataFrame\n",
"dataframes = []\n",
"\n",
"# Loop over each JSON file and append to the list of DataFrames\n",
"for file in json_files:\n",
" file_path = os.path.join(json_dir, file)\n",
" with open(file_path, 'r', encoding='utf-8') as f:\n",
" data = json.load(f)\n",
" # Convert each JSON object to a DataFrame and append to the list\n",
" df = pd.DataFrame(data)\n",
" dataframes.append(df)\n",
"\n",
"# Concatenate all DataFrames into one\n",
"final_df = pd.concat(dataframes, ignore_index=True)\n",
"\n",
"# Save the merged DataFrame to a new JSON or CSV file if needed\n",
"merged_json_path = '/content/merged_results.json'\n",
"final_df.to_json(merged_json_path, orient='records', indent=4, force_ascii=False)\n",
"\n",
"# Optionally, save as CSV\n",
"merged_csv_path = '/content/merged_results.csv'\n",
"final_df.to_csv(merged_csv_path, index=False, encoding='utf-8')\n"
],
"metadata": {
"id": "wjl6cBHPwVwA"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"import pandas as pd\n",
"\n",
"# Load the CSV file\n",
"csv_file_path = '/content/merged_results.csv'\n",
"df = pd.read_csv(csv_file_path)\n",
"\n",
"# Convert to JSON\n",
"#json_file_path = '/content/kannada_neet_2020.json'\n",
"#df.to_json(json_file_path, orient='records', indent=4, force_ascii=False)\n",
"\n",
"#print(f\"Converted CSV to JSON: {json_file_path}\")\n"
],
"metadata": {
"id": "FrgfB92l7_Uw"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"df"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"id": "Tte4Zo0IoROY",
"outputId": "df806717-05ed-4d05-9e27-4835ed1f05b7"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" language country file_name \\\n",
"0 kn India 1640593808NEET%202020%20Kannada%20F1%20QP.pdf \n",
"1 kn India 1640593808NEET%202020%20Kannada%20F1%20QP.pdf \n",
"2 kn India 1640593808NEET%202020%20Kannada%20F1%20QP.pdf \n",
"3 kn India 1640593808NEET%202020%20Kannada%20F1%20QP.pdf \n",
"4 kn India 1640593808NEET%202020%20Kannada%20F1%20QP.pdf \n",
".. ... ... ... \n",
"146 kn India 1640593808NEET%202020%20Kannada%20F1%20QP.pdf \n",
"147 kn India 1640593808NEET%202020%20Kannada%20F1%20QP.pdf \n",
"148 kn India 1640593808NEET%202020%20Kannada%20F1%20QP.pdf \n",
"149 kn India 1640593808NEET%202020%20Kannada%20F1%20QP.pdf \n",
"150 kn India 1640593808NEET%202020%20Kannada%20F1%20QP.pdf \n",
"\n",
" source license level \\\n",
"0 https://images.collegedunia.com/public/college... open University \n",
"1 https://images.collegedunia.com/public/college... open University \n",
"2 https://images.collegedunia.com/public/college... open University \n",
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"4 https://images.collegedunia.com/public/college... open University \n",
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"148 https://images.collegedunia.com/public/college... open University \n",
"149 https://images.collegedunia.com/public/college... open University \n",
"150 https://images.collegedunia.com/public/college... open University \n",
"\n",
" category_en category_original_lang original_question_idx page_num \\\n",
"0 Botany ಸಸ್ಯಶಾಸ್ತ್ರ 27 4 \n",
"1 Physics ಭೌತಶಾಸ್ತ್ರ 99 12 \n",
"2 Physics ಭೌತಶಾಸ್ತ್ರ 100 12 \n",
"3 Physics ಭೌತಶಾಸ್ತ್ರ 101 12 \n",
"4 Physics ಭೌತಶಾಸ್ತ್ರ 102 12 \n",
".. ... ... ... ... \n",
"146 Botany ಸಸ್ಯಶಾಸ್ತ್ರ 83 10 \n",
"147 Botany ಸಸ್ಯಶಾಸ್ತ್ರ 84 10 \n",
"148 Chemistry ರಸಾಯನಶಾಸ್ತ್ರ 85 10 \n",
"149 Botany ಸಸ್ಯಶಾಸ್ತ್ರ 86 10 \n",
"150 Chemistry ರಸಾಯನಶಾಸ್ತ್ರ 87 10 \n",
"\n",
" question \\\n",
"0 ಕೆಳಗಿನ ಕಾಲಮಗಳನ್ನು, ಹೊಂದಿದ ಮತ್ತು ಸಂಯೋಜಿಸಿದ ಜೋಡಿ... \n",
"1 50 ವಿಭಾಗಗಳಿರುವ ಪ್ರತ್ಯೇಕದ ಸ್ಕೇಲ್ ಮತ್ತು 0.01 mm ... \n",
"2 ಸದರ ಸಂಗತ ಚಲನೆಯಲ್ಲಿರುವ ಕಣದ ಸ್ಕಾಂತದ ಮತ್ತು ವೇಗದ್ವ... \n",
"3 2.5 A ವಿದ್ಯುತ್ ಪ್ರಬಲವಿರುವ 50 cm ಉದ್ದದ ತಂತುವಿನಲ... \n",
"4 ಒಂದು ಗೋಪುರದ ಮೇಲಿಂದ 20 m/s ವೇಗದಲ್ಲಿ ಲಂಬವಾಗಿ ಕೆಳ... \n",
".. ... \n",
"146 ವಿಶ್ವಸಂಸ್ಥೆಯ ಪ್ರಥಮ ಜೈವಿಕನ್ಯಾಸ ತತ್ವದ ಉದಾಹರಣೆ ಯಾ... \n",
"147 ಕೆಳಗಿನವನ್ನೆಲ್ಲಾ ಹೊಂದಿಸಿ ಮತ್ತು ಸರಿಯಾದ ಉತ್ತರವನ್ನ... \n",
"148 ಕೆಳಗಿನ ಕಾನ್ಸೆಪ್ಟುಗಳನ್ನು ಹೊಂದಿಸಿ ಮತ್ತು ಸರಿಯಾದ ಉ... \n",
"149 ಬೀಜದ ಸಮುದಾಯದಿಂದ ಪ್ರಥಮವಾಗಿ ಹೊರಹೊಮ್ಮುವ ಭಾಗ ಯಾವ ಕ... \n",
"150 ಕೆಳಗಿನ ಕಾನ್ಸೆಪ್ಟುಗಳನ್ನು ಹೊಂದಿಸಿ ಮತ್ತು ಸರಿಯಾದ ಉ... \n",
"\n",
" options answer requires_image \\\n",
"0 ['(a) (b) (c) (d)', '(i) (ii) (iii) (iv)', '(i... NaN no \n",
"1 ['0.5 mm', '1.0 mm', '0.01 mm', '0.25 mm'] NaN no \n",
"2 ['π/2 rad', '0 (ಶೂನ್ಯ)', 'π rad', '3π/2 rad'] NaN no \n",
"3 ['6.28 x 10⁻⁵ T', '3.14 x 10⁻⁵ T', '6.28 x 10⁻... NaN no \n",
"4 ['320 m', '300 m', '360 m', '340 m'] NaN no \n",
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"146 ['ಜಾರ್ವಿಸ್ ಡಾರ್ವಿನ್', 'ಲಾಮಾರ್ಕ್', 'ಡಾರ್ವಿನ್ ಮತ... NaN no \n",
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"150 ['(iv) (ii) (i) (iii)', '(i) (ii) (iv) (iii)',... NaN no \n",
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"0 no \n",
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"
\n",
" \n",
" \n",
" | \n",
" language | \n",
" country | \n",
" file_name | \n",
" source | \n",
" license | \n",
" level | \n",
" category_en | \n",
" category_original_lang | \n",
" original_question_num | \n",
" page_num | \n",
" question | \n",
" options | \n",
" requires_image | \n",
" context | \n",
" answer | \n",
"
\n",
" \n",
" \n",
" \n",
" | 0 | \n",
" kn | \n",
" India | \n",
" 1640593808NEET%202020%20Kannada%20F1%20QP.pdf | \n",
" https://images.collegedunia.com/public/college... | \n",
" open | \n",
" University | \n",
" Botany | \n",
" ಸಸ್ಯಶಾಸ್ತ್ರ | \n",
" 27 | \n",
" 4 | \n",
" ಕೆಳಗಿನ ಕಾಲಮಗಳನ್ನು, ಹೊಂದಿದ ಮತ್ತು ಸಂಯೋಜಿಸಿದ ಜೋಡಿ... | \n",
" ['(a) (b) (c) (d)', '(i) (ii) (iii) (iv)', '(i... | \n",
" no | \n",
" no | \n",
" 4 | \n",
"
\n",
" \n",
" | 1 | \n",
" kn | \n",
" India | \n",
" 1640593808NEET%202020%20Kannada%20F1%20QP.pdf | \n",
" https://images.collegedunia.com/public/college... | \n",
" open | \n",
" University | \n",
" Physics | \n",
" ಭೌತಶಾಸ್ತ್ರ | \n",
" 99 | \n",
" 12 | \n",
" 50 ವಿಭಾಗಗಳಿರುವ ಪ್ರತ್ಯೇಕದ ಸ್ಕೇಲ್ ಮತ್ತು 0.01 mm ... | \n",
" ['0.5 mm', '1.0 mm', '0.01 mm', '0.25 mm'] | \n",
" no | \n",
" no | \n",
" 1 | \n",
"
\n",
" \n",
" | 2 | \n",
" kn | \n",
" India | \n",
" 1640593808NEET%202020%20Kannada%20F1%20QP.pdf | \n",
" https://images.collegedunia.com/public/college... | \n",
" open | \n",
" University | \n",
" Physics | \n",
" ಭೌತಶಾಸ್ತ್ರ | \n",
" 100 | \n",
" 12 | \n",
" ಸದರ ಸಂಗತ ಚಲನೆಯಲ್ಲಿರುವ ಕಣದ ಸ್ಕಾಂತದ ಮತ್ತು ವೇಗದ್ವ... | \n",
" ['π/2 rad', '0 (ಶೂನ್ಯ)', 'π rad', '3π/2 rad'] | \n",
" no | \n",
" no | \n",
" 3 | \n",
"
\n",
" \n",
" | 3 | \n",
" kn | \n",
" India | \n",
" 1640593808NEET%202020%20Kannada%20F1%20QP.pdf | \n",
" https://images.collegedunia.com/public/college... | \n",
" open | \n",
" University | \n",
" Physics | \n",
" ಭೌತಶಾಸ್ತ್ರ | \n",
" 101 | \n",
" 12 | \n",
" 2.5 A ವಿದ್ಯುತ್ ಪ್ರಬಲವಿರುವ 50 cm ಉದ್ದದ ತಂತುವಿನಲ... | \n",
" ['6.28 x 10⁻⁵ T', '3.14 x 10⁻⁵ T', '6.28 x 10⁻... | \n",
" no | \n",
" no | \n",
" 3 | \n",
"
\n",
" \n",
" | 4 | \n",
" kn | \n",
" India | \n",
" 1640593808NEET%202020%20Kannada%20F1%20QP.pdf | \n",
" https://images.collegedunia.com/public/college... | \n",
" open | \n",
" University | \n",
" Physics | \n",
" ಭೌತಶಾಸ್ತ್ರ | \n",
" 102 | \n",
" 12 | \n",
" ಒಂದು ಗೋಪುರದ ಮೇಲಿಂದ 20 m/s ವೇಗದಲ್ಲಿ ಲಂಬವಾಗಿ ಕೆಳ... | \n",
" ['320 m', '300 m', '360 m', '340 m'] | \n",
" no | \n",
" no | \n",
" 2 | \n",
"
\n",
" \n",
"
\n",
"
\n",
"
\n",
"
Loading JSON file: /content/cleaned_merged_questions_with_answers.json\n",
"\n"
]
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"\u001b[1;32m╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\u001b[0m\n",
"\u001b[1;32m│\u001b[0m\u001b[1;32m \u001b[0m\u001b[1;32mNo issues found. JSON data is valid.\u001b[0m\u001b[1;32m \u001b[0m\u001b[1;32m \u001b[0m\u001b[1;32m│\u001b[0m\n",
"\u001b[1;32m╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
],
"text/html": [
"╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
"│ No issues found. JSON data is valid. │\n",
"╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
"\n"
]
},
"metadata": {}
}
],
"source": [
"!pip install rich\n",
"\n",
"import json\n",
"import os\n",
"from datetime import datetime\n",
"import re\n",
"from rich.console import Console\n",
"from rich.panel import Panel\n",
"from rich.tree import Tree\n",
"from rich.text import Text\n",
"from rich.syntax import Syntax\n",
"from typing import Union # Import Union from typing\n",
"\n",
"class JSONEvaluator:\n",
" def __init__(self, json_file=None, purge_error_entries=False):\n",
" self.json_file = json_file\n",
" self.json_data = []\n",
" self.purge_error_entries = purge_error_entries\n",
" self.output_file = None\n",
" self.schema = {\n",
" \"language\": str, \"country\": str, \"file_name\": str, \"source\": str,\n",
" \"license\": str, \"level\": str, \"category_en\": str,\n",
" \"category_original_lang\": str, \"original_question_num\": Union[int, str],\n",
" \"question\": str, \"options\": list, \"answer\": str,\n",
" }\n",
" self.console = Console()\n",
"\n",
" def load_json_file(self):\n",
" self.console.print(f\"[cyan]Loading JSON file:[/cyan] {self.json_file}\")\n",
" try:\n",
" with open(self.json_file, 'r', encoding='utf-8') as file:\n",
" data = json.load(file)\n",
" if not isinstance(data, list):\n",
" raise ValueError(f\"File {self.json_file}: JSON should be a list of entries.\")\n",
" self.json_data = data\n",
" return True\n",
" except (json.JSONDecodeError, Exception) as e:\n",
" self.console.print(f\"[red]Error loading file {self.json_file}: {e}[/red]\")\n",
" return False\n",
"\n",
" def is_valid_iso_code(self, code):\n",
" return bool(re.match(r'^[a-z]{2,3}$', code, re.IGNORECASE))\n",
"\n",
" def validate_entry(self, idx, entry):\n",
" errors = []\n",
" for key, expected_type in self.schema.items():\n",
" value = entry.get(key)\n",
" if value is None or (isinstance(value, str) and not value.strip()):\n",
" errors.append({\"entry\": idx, \"message\": f\"Missing or empty key '{key}'.\"})\n",
" elif not isinstance(value, expected_type):\n",
" errors.append({\"entry\": idx, \"message\": f\"Invalid type for '{key}': expected {expected_type.__name__}, got {type(value).__name__}.\"})\n",
"\n",
" lang = entry.get('language', '').lower()\n",
" if lang and not self.is_valid_iso_code(lang):\n",
" errors.append({\"entry\": idx, \"message\": f\"Invalid language code: '{lang}'. Must be a valid ISO 639-1 (2-letter)\"})\n",
"\n",
" options = entry.get(\"options\", [])\n",
" if not isinstance(options, list) or any(not isinstance(opt, str) or not opt.strip() for opt in options):\n",
" errors.append({\"entry\": idx, \"message\": \"Invalid 'options': must be a list of non-empty strings.\"})\n",
" elif len(set(options)) == 1:\n",
" errors.append({\"entry\": idx, \"message\": \"All options are identical.\"})\n",
"\n",
" answer = entry.get(\"answer\", \"\")\n",
" if not isinstance(answer, str):\n",
" errors.append({\"entry\": idx, \"message\": \"Invalid 'answer': must be a string.\"})\n",
" else:\n",
" try:\n",
" answer_ints = [int(a.strip()) for a in answer.split(',')]\n",
" valid_range = set(range(1, len(options) + 1))\n",
" if not set(answer_ints).issubset(valid_range):\n",
" errors.append({\"entry\": idx, \"message\": f\"Invalid 'answer': Answer cannot be more than number of options: {len(options)}.\"})\n",
" except ValueError:\n",
" errors.append({\"entry\": idx, \"message\": \"Invalid 'answer': must be comma-separated integers.\"})\n",
"\n",
" return errors\n",
"\n",
" def validate_all(self):\n",
" seen_entries = {}\n",
" all_errors = []\n",
" for idx, entry in enumerate(self.json_data):\n",
" entry_hash = (entry['question'].strip(), tuple(opt.strip() for opt in entry['options']))\n",
"\n",
" if entry_hash in seen_entries:\n",
" all_errors.append({\"entry\": idx, \"message\": f\"Duplicate of entry {seen_entries[entry_hash]}.\"})\n",
" else:\n",
" seen_entries[entry_hash] = idx\n",
"\n",
" all_errors.extend(self.validate_entry(idx, entry))\n",
"\n",
" if all_errors:\n",
" self.display_errors_pretty(all_errors)\n",
" if self.purge_error_entries:\n",
" self.remove_problematic_entries(all_errors)\n",
" else:\n",
" self.console.print(\"[bold bright_red]Validation issues found. Please fix them manually.[/bold bright_red]\")\n",
" return len(all_errors) == 0\n",
"\n",
" def display_errors_pretty(self, errors):\n",
" console = Console()\n",
"\n",
" for error in errors:\n",
" entry = self.json_data[error[\"entry\"]]\n",
"\n",
" tree = Tree(f\"[bold red]Error in Entry {error['entry']}[/bold red]\")\n",
" tree.add(Text(error['message'], style=\"bold yellow\"))\n",
"\n",
" question_node = tree.add(\"Question\")\n",
" question_node.add(Syntax(entry.get('question', '[N/A]'), \"text\", theme=\"monokai\", word_wrap=True))\n",
"\n",
" options_node = tree.add(\"Options\")\n",
" options = entry.get('options', [])\n",
" for i, option in enumerate(options, 1):\n",
" options_node.add(f\"{i}. {option}\")\n",
"\n",
" answer_node = tree.add(\"Answer\")\n",
" answer_node.add(str(entry.get('answer', '[N/A]')))\n",
"\n",
" console.print(Panel(tree, expand=False, border_style=\"red\"))\n",
" console.print()\n",
"\n",
" def check_for_duplicates(self):\n",
" seen = {}\n",
" duplicates = []\n",
" for idx, entry in enumerate(self.json_data):\n",
" key = (entry[\"question\"].strip(), tuple(opt.strip() for opt in entry[\"options\"]))\n",
" if key in seen:\n",
" duplicates.append({\"entry\": idx, \"duplicate_with_entry\": seen[key], \"message\": \"Duplicate entry.\"})\n",
" else:\n",
" seen[key] = idx\n",
"\n",
" if duplicates:\n",
" self.display_duplicates_pretty(duplicates)\n",
" if self.purge_error_entries:\n",
" self.remove_problematic_entries(duplicates)\n",
" return len(duplicates)\n",
"\n",
" def display_duplicates_pretty(self, duplicates):\n",
" console = Console()\n",
"\n",
" for duplicate in duplicates:\n",
" original_idx = duplicate[\"duplicate_with_entry\"]\n",
" duplicate_idx = duplicate[\"entry\"]\n",
" original_entry = self.json_data[original_idx]\n",
" duplicate_entry = self.json_data[duplicate_idx]\n",
"\n",
" tree = Tree(f\"[bold blue]Duplicate Entry Found[/bold blue]\")\n",
"\n",
" original_node = tree.add(f\"Original Entry (Index: {original_idx})\")\n",
" duplicate_node = tree.add(f\"Duplicate Entry (Index: {duplicate_idx})\")\n",
"\n",
" for node, entry in [(original_node, original_entry), (duplicate_node, duplicate_entry)]:\n",
" question_node = node.add(\"Question\")\n",
" question_node.add(Syntax(entry['question'], \"text\", theme=\"monokai\", word_wrap=True))\n",
"\n",
" options_node = node.add(\"Options\")\n",
" for i, option in enumerate(entry['options'], 1):\n",
" options_node.add(f\"{i}. {option}\")\n",
"\n",
" console.print(Panel(tree, expand=False, border_style=\"blue\"))\n",
" console.print()\n",
"\n",
" def remove_problematic_entries(self, errors):\n",
" self.json_data = [entry for idx, entry in enumerate(self.json_data) if idx not in {error['entry'] for error in errors}]\n",
"\n",
" def save_cleaned_data(self):\n",
" base_filename = os.path.basename(self.json_file).split('.')[0]\n",
" timestamp = datetime.now().strftime(\"%Y%m%d_%H%M%S\")\n",
" self.output_file = f\"cleaned_{base_filename}_{timestamp}.json\"\n",
" with open(self.output_file, 'w', encoding='utf-8') as outfile:\n",
" json.dump(self.json_data, outfile, ensure_ascii=False, indent=4)\n",
" self.console.print(Panel(f\"Step Three: Cleaned data saved to [green]{self.output_file}[/green]\", style=\"bold green\"))\n",
"\n",
" def run_all_checks(self):\n",
" if not self.load_json_file():\n",
" return\n",
" self.clean_whitespace()\n",
"\n",
" is_valid = self.validate_all()\n",
"\n",
" if not is_valid:\n",
" if self.purge_error_entries:\n",
" self.console.print(Rule(title=\"JSON Evaluation Steps\"))\n",
" self.console.print(Panel(\"Step One: Entries with Errors will be purged.\", style=\"bold magenta\"))\n",
" self.save_cleaned_data()\n",
" self.revalidate_cleaned_data()\n",
" else:\n",
" self.console.print(\"[bold red]Issues found. They will NOT be automatically removed.[/bold red]\")\n",
" else:\n",
" self.console.print(Panel(\"No issues found. JSON data is valid.\", style=\"bold green\"))\n",
"\n",
" def revalidate_cleaned_data(self):\n",
" self.console.print(Panel(\"Step Four: Re-validating cleaned JSON data...\", style=\"bold cyan\"))\n",
" is_valid = self.validate_all()\n",
"\n",
" if not is_valid:\n",
" self.console.print(Panel(\"Re-validation failed. Errors found in the cleaned data.\", style=\"bold red\"))\n",
" else:\n",
" self.console.print(Panel(\"The re-validation of cleaned data passed successfully. New JSON should be error-free\", style=\"bold green\"))\n",
"\n",
" def clean_whitespace(self):\n",
" for entry in self.json_data:\n",
" entry.update({k: v.strip() if isinstance(v, str) else [i.strip() if isinstance(i, str) else i for i in v] if isinstance(v, list) else v for k, v in entry.items()})\n",
"\n",
"# Set these variables as needed for your specific case\n",
"json_file = \"/content/cleaned_merged_questions_with_answers.json\"\n",
"purge_error_entries = True\n",
"\n",
"evaluator = JSONEvaluator(json_file=json_file, purge_error_entries=purge_error_entries)\n",
"evaluator.run_all_checks()\n"
]
},
{
"cell_type": "code",
"source": [
"# Convert 'answer' to string\n",
"merged_df['answer'] = merged_df['answer'].astype(str)\n"
],
"metadata": {
"id": "YTHfaMegws-2"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"import ast\n",
"\n",
"# Convert 'options' from string to list if needed\n",
"merged_df['options'] = merged_df['options'].apply(lambda x: ast.literal_eval(x) if isinstance(x, str) else x)\n"
],
"metadata": {
"id": "d2Ze4J2SwuOM"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"# Drop rows with missing 'original_question_num'\n",
"merged_df = merged_df.dropna(subset=['original_question_num'])\n",
"\n",
"# Convert 'original_question_num' to integer\n",
"merged_df['original_question_num'] = merged_df['original_question_num'].astype(int)\n"
],
"metadata": {
"id": "5t2JZhTiwwWS"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"# Remove rows with empty 'answer' or 'options'\n",
"merged_df = merged_df.dropna(subset=['answer', 'options'])\n",
"\n",
"# Remove rows where 'options' is not a list\n",
"merged_df = merged_df[merged_df['options'].apply(lambda x: isinstance(x, list))]\n"
],
"metadata": {
"id": "dWmGtIzYwz-S"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"# Convert the cleaned DataFrame to JSON\n",
"merged_json_path = '/content/cleaned_merged_results_with_answers.json'\n",
"merged_df.to_json(merged_json_path, orient='records', indent=4, force_ascii=False)\n",
"\n",
"# Display the path to the JSON file\n",
"print(f\"Converted cleaned DataFrame to JSON: {merged_json_path}\")\n"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "JHxsBujsw3Wr",
"outputId": "5dad8f67-67e6-4f67-fe04-53733c931826"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Converted cleaned DataFrame to JSON: /content/cleaned_merged_results_with_answers.json\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"# Set these variables as needed for your specific case\n",
"json_file = \"/content/cleaned_merged_results_with_answers.json\" # Replace with the path to your JSON file\n",
"purge_error_entries = True # Set to True if you want to purge error entries\n",
"\n",
"evaluator = JSONEvaluator(json_file=json_file, purge_error_entries=purge_error_entries)\n",
"evaluator.run_all_checks()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"id": "cgyZXj6Ww6Ac",
"outputId": "7391fe5e-db38-4572-814d-05062a5d62b2"
},
"execution_count": null,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"\u001b[36mLoading JSON file:\u001b[0m \u001b[35m/content/\u001b[0m\u001b[95mcleaned_merged_results_with_answers.json\u001b[0m\n"
],
"text/html": [
"Loading JSON file: /content/cleaned_merged_results_with_answers.json\n",
"\n"
]
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"\u001b[31m╭────────────────────────────────────────────────────────────────────────╮\u001b[0m\n",
"\u001b[31m│\u001b[0m \u001b[1;31mError in Entry 15\u001b[0m \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m ├── \u001b[1;33mInvalid 'answer': Answer cannot be more than number of options: 0.\u001b[0m \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m ├── Question \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m │ └── \u001b[38;2;248;248;242;48;2;39;40;34mಜೀನು ಮತ್ತು ಕ್ರೋಮೋಸೋಮ್ ತಂತ್ರಜ್ಞಾನದಲ್ಲಿ ಅವರ ಉಪಯುಕ್ತತೆಯನ್ನು ಹೊಂದಿ:\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m ├── Options \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m └── Answer \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m └── 4 \u001b[31m│\u001b[0m\n",
"\u001b[31m╰────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
],
"text/html": [
"╭────────────────────────────────────────────────────────────────────────╮\n",
"│ Error in Entry 15 │\n",
"│ ├── Invalid 'answer': Answer cannot be more than number of options: 0. │\n",
"│ ├── Question │\n",
"│ │ └── ಜೀನು ಮತ್ತು ಕ್ರೋಮೋಸೋಮ್ ತಂತ್ರಜ್ಞಾನದಲ್ಲಿ ಅವರ ಉಪಯುಕ್ತತೆಯನ್ನು ಹೊಂದಿ: │\n",
"│ ├── Options │\n",
"│ └── Answer │\n",
"│ └── 4 │\n",
"╰────────────────────────────────────────────────────────────────────────╯\n",
"\n"
]
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"\n"
],
"text/html": [
"\n",
"\n"
]
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"\u001b[31m╭────────────────────────────────────────────────────────────────────────╮\u001b[0m\n",
"\u001b[31m│\u001b[0m \u001b[1;31mError in Entry 50\u001b[0m \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m ├── \u001b[1;33mInvalid 'answer': Answer cannot be more than number of options: 0.\u001b[0m \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m ├── Question \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m │ └── \u001b[38;2;248;248;242;48;2;39;40;34mಈ ಕೆಳಗಿನವಗಳಲ್ಲಿ ಯಾವುದು?\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m ├── Options \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m └── Answer \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m └── 3 \u001b[31m│\u001b[0m\n",
"\u001b[31m╰────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
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"│ Error in Entry 50 │\n",
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"│ ├── Options │\n",
"│ └── Answer │\n",
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"\u001b[31m│\u001b[0m ├── Question \u001b[31m│\u001b[0m\n",
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"\u001b[31m│\u001b[0m ├── Options \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m └── Answer \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m └── 2 \u001b[31m│\u001b[0m\n",
"\u001b[31m╰────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
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"│ Error in Entry 51 │\n",
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"\n"
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"\u001b[31m│\u001b[0m ├── Question \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m │ └── \u001b[38;2;248;248;242;48;2;39;40;34mಕೆಳಗಿನವುಗಳಲ್ಲಿ ಹೋಮೋಲಿಸ ಮತ್ತು ಸಂಯೋಜಕ ಶಕ್ತಿಯನ್ನು ಗುರುತಿಸಿ.\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m ├── Options \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m └── Answer \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m └── 3 \u001b[31m│\u001b[0m\n",
"\u001b[31m╰────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
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"│ Error in Entry 54 │\n",
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"│ ├── Options │\n",
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"\u001b[31m│\u001b[0m ├── \u001b[1;33mInvalid 'answer': Answer cannot be more than number of options: 0.\u001b[0m \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m ├── Question \u001b[31m│\u001b[0m\n",
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"\u001b[31m│\u001b[0m ├── Options \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m └── Answer \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m └── 3 \u001b[31m│\u001b[0m\n",
"\u001b[31m╰────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
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"│ Error in Entry 58 │\n",
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"│ ├── Options │\n",
"│ └── Answer │\n",
"│ └── 3 │\n",
"╰────────────────────────────────────────────────────────────────────────╯\n",
"\n"
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"\u001b[31m│\u001b[0m ├── \u001b[1;33mInvalid 'answer': Answer cannot be more than number of options: 0.\u001b[0m \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m ├── Question \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m │ └── \u001b[38;2;248;248;242;48;2;39;40;34mಈ ಕೆಳಗಿನ ಸಮೀಕರಣ ಕ್ರಮದಲ್ಲಿ ಉಂಟಾಗುವ X ಎಂಬ ಸಂಯುಕ್ತವನ್ನು ಕಂಡುಹಿಡಿಯಿರಿ.\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m ├── Options \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m └── Answer \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m └── 1 \u001b[31m│\u001b[0m\n",
"\u001b[31m╰────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
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"│ Error in Entry 68 │\n",
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"│ │ └── ಈ ಕೆಳಗಿನ ಸಮೀಕರಣ ಕ್ರಮದಲ್ಲಿ ಉಂಟಾಗುವ X ಎಂಬ ಸಂಯುಕ್ತವನ್ನು ಕಂಡುಹಿಡಿಯಿರಿ. │\n",
"│ ├── Options │\n",
"│ └── Answer │\n",
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"╰────────────────────────────────────────────────────────────────────────╯\n",
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"\u001b[31m│\u001b[0m ├── Question \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m │ └── \u001b[38;2;248;248;242;48;2;39;40;34mಕೆಳಗಿನ ತರ್ಕ ವಾಕ್ಯವನ್ನು, ನಿರ್ಧರ ಕೊಡುಕೆಯು :\u001b[0m \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m ├── Options \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m │ ├── 1. A B Y \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m │ ├── 2. A B Y \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m │ ├── 3. A B Y \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m │ └── 4. A B Y \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m └── Answer \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m └── 3 \u001b[31m│\u001b[0m\n",
"\u001b[31m╰──────────────────────────────────────╯\u001b[0m\n"
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"│ ├── Options │\n",
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"│ │ ├── 2. A B Y │\n",
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"\u001b[31m│\u001b[0m ├── \u001b[1;33mInvalid 'answer': Answer cannot be more than number of options: 0.\u001b[0m \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m ├── Question \u001b[31m│\u001b[0m\n",
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"\u001b[31m│\u001b[0m ├── Options \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m └── Answer \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m └── 1 \u001b[31m│\u001b[0m\n",
"\u001b[31m╰────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
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"╭────────────────────────────────────────────────────────────────────────╮\n",
"│ Error in Entry 83 │\n",
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"│ └── 1 │\n",
"╰────────────────────────────────────────────────────────────────────────╯\n",
"\n"
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"\u001b[31m│\u001b[0m ├── Options \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m └── Answer \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m └── 1 \u001b[31m│\u001b[0m\n",
"\u001b[31m╰───────────────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
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"╭───────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
"│ Error in Entry 90 │\n",
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"│ ├── Question │\n",
"│ │ └── ಪರಸ್ಪರದ ಚುಂಭಕತ್ವದಿಂದ ಪರಸ್ಪರದತ್ತ ಬಲಪ್ರಯೋಗಗಳನ್ನು ಮಾಡುವ ಎರಡು ಚುಂಭಕ ಕಣಿಕೆಗಳ ನಡುವಿನ ಬಲದ ಪ್ರಮಾಣವು ಯಾವ ಅಂತರದ( r )ಗೆ ಅತೀ ಹೆಚ್ಚು? │\n",
"│ ├── Options │\n",
"│ └── Answer │\n",
"│ └── 1 │\n",
"╰───────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
"\n"
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"\u001b[31m╭────────────────────────────────────────────────────────────────────────╮\u001b[0m\n",
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"\u001b[31m│\u001b[0m ├── \u001b[1;33mInvalid 'answer': Answer cannot be more than number of options: 0.\u001b[0m \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m ├── Question \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m │ └── \u001b[38;2;248;248;242;48;2;39;40;34mಜೈವಿಕವಿವಿಧತೆ ಅಧ್ಯಯನದ ಈ ಕೆಳಗಿನ ಅಂಶದ ರಚನಾ ಏಕಕ ಯಾವುದು ಎಂದು ಪರಿಗಣಿಸಲಾಗಿದೆ :\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m ├── Options \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m └── Answer \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m └── 3 \u001b[31m│\u001b[0m\n",
"\u001b[31m╰────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
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"╭────────────────────────────────────────────────────────────────────────╮\n",
"│ Error in Entry 99 │\n",
"│ ├── Invalid 'answer': Answer cannot be more than number of options: 0. │\n",
"│ ├── Question │\n",
"│ │ └── ಜೈವಿಕವಿವಿಧತೆ ಅಧ್ಯಯನದ ಈ ಕೆಳಗಿನ ಅಂಶದ ರಚನಾ ಏಕಕ ಯಾವುದು ಎಂದು ಪರಿಗಣಿಸಲಾಗಿದೆ : │\n",
"│ ├── Options │\n",
"│ └── Answer │\n",
"│ └── 3 │\n",
"╰────────────────────────────────────────────────────────────────────────╯\n",
"\n"
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"\u001b[31m│\u001b[0m ├── \u001b[1;33mInvalid 'answer': Answer cannot be more than number of options: 0.\u001b[0m \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m ├── Question \u001b[31m│\u001b[0m\n",
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"\u001b[31m│\u001b[0m ├── Options \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m └── Answer \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m └── 3 \u001b[31m│\u001b[0m\n",
"\u001b[31m╰────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
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"│ Error in Entry 101 │\n",
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"│ ├── Options │\n",
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"\u001b[31m│\u001b[0m │ └── \u001b[38;2;248;248;242;48;2;39;40;34mಪೋಂದಿಕೆ:\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m ├── Options \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m └── Answer \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m └── 4 \u001b[31m│\u001b[0m\n",
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"│ Error in Entry 112 │\n",
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"│ │ └── ಪೋಂದಿಕೆ: │\n",
"│ ├── Options │\n",
"│ └── Answer │\n",
"│ └── 4 │\n",
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"\u001b[31m│\u001b[0m ├── Question \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m │ └── \u001b[38;2;248;248;242;48;2;39;40;34mಎಲ್ಯುಮಿನಿಯಮ್ ಮತ್ತು ಮ್ಯಾಗ್ನೀಸಿಯಮ್ ಕಡ್ಡಿಗಳಲ್ಲಿ ತಪಾಸಣೆ ತಪಾಸಣೆ ತಪಾಸಣೆ:\u001b[0m \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m ├── Options \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m │ ├── 1. ಬಾರದ ಬಟ್ಟೆಗೇ ತಪಾಸಣೆ \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m │ ├── 2. ಬಾರದ ಬಟ್ಟೆಗೇ ತಪಾಸಣೆ \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m │ ├── 3. ಬಾರದ ಬಟ್ಟೆಗೇ ತಪಾಸಣೆ \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m │ └── 4. ಬಾರದ ಬಟ್ಟೆಗೇ ತಪಾಸಣೆ \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m └── Answer \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m └── 1 \u001b[31m│\u001b[0m\n",
"\u001b[31m╰─────────────────────────────────────────────────────╯\u001b[0m\n"
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"│ Error in Entry 113 │\n",
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"│ │ └── ಎಲ್ಯುಮಿನಿಯಮ್ ಮತ್ತು ಮ್ಯಾಗ್ನೀಸಿಯಮ್ ಕಡ್ಡಿಗಳಲ್ಲಿ ತಪಾಸಣೆ ತಪಾಸಣೆ ತಪಾಸಣೆ: │\n",
"│ ├── Options │\n",
"│ │ ├── 1. ಬಾರದ ಬಟ್ಟೆಗೇ ತಪಾಸಣೆ │\n",
"│ │ ├── 2. ಬಾರದ ಬಟ್ಟೆಗೇ ತಪಾಸಣೆ │\n",
"│ │ ├── 3. ಬಾರದ ಬಟ್ಟೆಗೇ ತಪಾಸಣೆ │\n",
"│ │ └── 4. ಬಾರದ ಬಟ್ಟೆಗೇ ತಪಾಸಣೆ │\n",
"│ └── Answer │\n",
"│ └── 1 │\n",
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"\n"
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"\u001b[31m│\u001b[0m ├── Question \u001b[31m│\u001b[0m\n",
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"\u001b[31m│\u001b[0m ├── Options \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m └── Answer \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m └── 1 \u001b[31m│\u001b[0m\n",
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"│ Error in Entry 120 │\n",
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"│ ├── Question │\n",
"│ │ └── ಒಂದು ಆಲ್ಕೀನ್ ಅನ್ನು ಓಜೊನೊಲಿಸಿಸ್ಗೆ ಒಳಪಡಿಸಿದಾಗ ಮೆಥಾನಾಲ್ (CH3OH) ಒಂದು ಉತ್ಪನ್ನವಾಗಿ ಬರುವುದು. ಹೀಗಾದರೆ ಇದರ ರಚನೆಯು: │\n",
"│ ├── Options │\n",
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"╰──────────────────────────────────────────────────────────────────────────────────╯\n",
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"\u001b[31m│\u001b[0m ├── Question \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m │ └── \u001b[38;2;248;248;242;48;2;39;40;34mಈ ಕೆಳಗಿನವುಗಳಲ್ಲಿ ಯಾವ ರಸಾಯನಿಕ ಪ್ರಕ್ರಿಯಾವನ್ನು ತ್ರಾಸಾಯನಿಕ ಕೋಶಗಳ ಅಂದಾಜು ಮಾಡುತ್ತದೆ?\u001b[0m \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m ├── Options \u001b[31m│\u001b[0m\n",
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"\u001b[31m│\u001b[0m │ ├── 2. ಎನ್.ಎಮ್.ಆರ್. ತಂತ್ರ \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m │ ├── 3. ಎನ್.ಎಮ್.ಆರ್. ತಂತ್ರ \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m │ └── 4. ಎನ್.ಎಮ್.ಆರ್. ತಂತ್ರ \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m └── Answer \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m └── 3 \u001b[31m│\u001b[0m\n",
"\u001b[31m╰──────────────────────────────────────────────────────────────╯\u001b[0m\n"
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"╭──────────────────────────────────────────────────────────────╮\n",
"│ Error in Entry 126 │\n",
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"│ └── Answer │\n",
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"\u001b[31m│\u001b[0m ├── Options \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m └── Answer \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m └── 1 \u001b[31m│\u001b[0m\n",
"\u001b[31m╰────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
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"│ Error in Entry 132 │\n",
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"╰────────────────────────────────────────────────────────────────────────╯\n",
"\n"
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"\u001b[31m╭────────────────────────────────────────────────────────────────────────╮\u001b[0m\n",
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"\u001b[31m│\u001b[0m ├── \u001b[1;33mInvalid 'answer': Answer cannot be more than number of options: 0.\u001b[0m \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m ├── Question \u001b[31m│\u001b[0m\n",
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"\u001b[31m│\u001b[0m ├── Options \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m └── Answer \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m └── 3 \u001b[31m│\u001b[0m\n",
"\u001b[31m╰────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
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"╭────────────────────────────────────────────────────────────────────────╮\n",
"│ Error in Entry 136 │\n",
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"╰────────────────────────────────────────────────────────────────────────╯\n",
"\n"
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"\u001b[31m│\u001b[0m \u001b[1;31mError in Entry 138\u001b[0m \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m ├── \u001b[1;33mInvalid 'answer': Answer cannot be more than number of options: 0.\u001b[0m \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m ├── Question \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m │ └── \u001b[38;2;248;248;242;48;2;39;40;34mಆಕ್ಸಿನ್ ಪ್ರಕ್ರಿಯೆಯ ಸಂಯೋಜಕ ತತ್ವಗಳನ್ನು ಗುರುತಿಸಿ.\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m ├── Options \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m └── Answer \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m └── 3 \u001b[31m│\u001b[0m\n",
"\u001b[31m╰────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
],
"text/html": [
"╭────────────────────────────────────────────────────────────────────────╮\n",
"│ Error in Entry 138 │\n",
"│ ├── Invalid 'answer': Answer cannot be more than number of options: 0. │\n",
"│ ├── Question │\n",
"│ │ └── ಆಕ್ಸಿನ್ ಪ್ರಕ್ರಿಯೆಯ ಸಂಯೋಜಕ ತತ್ವಗಳನ್ನು ಗುರುತಿಸಿ. │\n",
"│ ├── Options │\n",
"│ └── Answer │\n",
"│ └── 3 │\n",
"╰────────────────────────────────────────────────────────────────────────╯\n",
"\n"
]
},
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{
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"\n"
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"text/html": [
"\n",
"\n"
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{
"output_type": "display_data",
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"text/plain": [
"\u001b[31m╭────────────────────────────────────────────────────────────────────────╮\u001b[0m\n",
"\u001b[31m│\u001b[0m \u001b[1;31mError in Entry 142\u001b[0m \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m ├── \u001b[1;33mInvalid 'answer': Answer cannot be more than number of options: 0.\u001b[0m \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m ├── Question \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m │ └── \u001b[38;2;248;248;242;48;2;39;40;34mಕೆಳಗಿನ ಯಾವುದು ಸಂಯೋಜಕ ತತ್ವಗಳ ಪೈಕಿ ಯಾವ ತತ್ವಗಳಿಗೆ ಸೇರಿದೆ?\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m ├── Options \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m └── Answer \u001b[31m│\u001b[0m\n",
"\u001b[31m│\u001b[0m └── 2 \u001b[31m│\u001b[0m\n",
"\u001b[31m╰────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
],
"text/html": [
"╭────────────────────────────────────────────────────────────────────────╮\n",
"│ Error in Entry 142 │\n",
"│ ├── Invalid 'answer': Answer cannot be more than number of options: 0. │\n",
"│ ├── Question │\n",
"│ │ └── ಕೆಳಗಿನ ಯಾವುದು ಸಂಯೋಜಕ ತತ್ವಗಳ ಪೈಕಿ ಯಾವ ತತ್ವಗಳಿಗೆ ಸೇರಿದೆ? │\n",
"│ ├── Options │\n",
"│ └── Answer │\n",
"│ └── 2 │\n",
"╰────────────────────────────────────────────────────────────────────────╯\n",
"\n"
]
},
"metadata": {}
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{
"output_type": "display_data",
"data": {
"text/plain": [
"\n"
],
"text/html": [
"\n",
"\n"
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},
"metadata": {}
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{
"output_type": "error",
"ename": "NameError",
"evalue": "name 'Rule' is not defined",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0mevaluator\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mJSONEvaluator\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mjson_file\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mjson_file\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpurge_error_entries\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mpurge_error_entries\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m \u001b[0mevaluator\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun_all_checks\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;32m\u001b[0m in \u001b[0;36mrun_all_checks\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 180\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mis_valid\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 181\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpurge_error_entries\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 182\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconsole\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mRule\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtitle\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"JSON Evaluation Steps\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 183\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconsole\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mPanel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Step One: Entries with Errors will be purged.\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstyle\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"bold magenta\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 184\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msave_cleaned_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mNameError\u001b[0m: name 'Rule' is not defined"
]
}
]
},
{
"cell_type": "code",
"source": [
"import pandas as pd\n",
"import ast\n",
"\n",
"# Assuming merged_df is your DataFrame\n",
"\n",
"# 1. Convert 'answer' to string\n",
"merged_df['answer'] = merged_df['answer'].astype(str)\n",
"\n",
"# 2. Convert 'options' from string to list if needed\n",
"merged_df['options'] = merged_df['options'].apply(lambda x: ast.literal_eval(x) if isinstance(x, str) else x)\n",
"\n",
"# 3. Drop entries where 'answer' is out of range\n",
"def is_valid_row(row):\n",
" if not isinstance(row['options'], list) or not row['options']:\n",
" return False # No valid options available\n",
" try:\n",
" answer_index = int(row['answer']) - 1\n",
" return 0 <= answer_index < len(row['options'])\n",
" except ValueError:\n",
" return False # Answer is not a valid number\n",
"\n",
"# Drop rows with invalid answers or options\n",
"merged_df = merged_df[merged_df.apply(is_valid_row, axis=1)]\n",
"\n",
"# 4. Drop entries with identical options\n",
"merged_df = merged_df[merged_df['options'].apply(lambda x: len(set(x)) > 1)]\n",
"\n",
"# 5. Drop rows where 'original_question_num' is missing or empty\n",
"merged_df = merged_df.dropna(subset=['original_question_num'])\n",
"\n",
"# 6. Convert the cleaned DataFrame to JSON\n",
"cleaned_json_path = '/content/cleaned_merged_results_with_answers1.json'\n",
"merged_df.to_json(cleaned_json_path, orient='records', indent=4, force_ascii=False)\n",
"\n",
"print(f\"Cleaned data saved to: {cleaned_json_path}\")\n"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "YFn_0pxnxDG6",
"outputId": "47a8ba0a-091f-4546-a1ca-bd14111b7c23"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Cleaned data saved to: /content/cleaned_merged_results_with_answers1.json\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"\n",
"json_file = \"/content/cleaned_merged_questions_with_answers.json\"\n",
"purge_error_entries = True\n",
"\n",
"evaluator = JSONEvaluator(json_file=json_file, purge_error_entries=purge_error_entries)\n",
"evaluator.run_all_checks()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 92
},
"id": "l_meh8acxq7K",
"outputId": "32d26bdf-e1c1-4a38-80be-ca7d58b14bd7"
},
"execution_count": null,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"\u001b[36mLoading JSON file:\u001b[0m \u001b[35m/content/\u001b[0m\u001b[95mcleaned_merged_questions_with_answers.json\u001b[0m\n"
],
"text/html": [
"Loading JSON file: /content/cleaned_merged_questions_with_answers.json\n",
"\n"
]
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"\u001b[1;32m╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\u001b[0m\n",
"\u001b[1;32m│\u001b[0m\u001b[1;32m \u001b[0m\u001b[1;32mNo issues found. JSON data is valid.\u001b[0m\u001b[1;32m \u001b[0m\u001b[1;32m \u001b[0m\u001b[1;32m│\u001b[0m\n",
"\u001b[1;32m╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
],
"text/html": [
"╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
"│ No issues found. JSON data is valid. │\n",
"╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
"\n"
]
},
"metadata": {}
}
]
}
]
} |