Datasets:

nichetensor-org
/

open-category

+ {"prompt": "a mobile phone, filled with their phone numbers. The phone has a large, expanse of number text floating around in the air. The text is predominantly in serif color enthusiastically, focusing on the phone, perimeter of the phone, and water droplets piled up on it. The numbers are still noticeable secured against the phone's enclosure. The phone has a vintage design, with a standard dial balice. The background is blurred, making it difficult to discern any specific details or performers. The artwork appears to be made of writing pillowy, contrasting with the more detailed text on the mobile phone.", "questions": ["Is there Object:? Answer only Y or N.", "Is there mobile phone? Answer only Y or N.", "Is there phone numbers? Answer only Y or N.", "Is there water droplets? Answer only Y or N.", "Is there vintage design? Answer only Y or N.", "Is there standard dial balice? Answer only Y or N.", "Is there ? Answer only Y or N.", "Is there Attribute:? Answer only Y or N.", "Is there large, expanse of number text? Answer only Y or N.", "Is there serif color? Answer only Y or N.", "Is there pillowy writing? Answer only Y or N.", "Is there blurred background? Answer only Y or N.", "Is there vintage design? Answer only Y or N.", "Is there ? Answer only Y or N.", "Is there Event:? Answer only Y or N.", "Is there numbers floating in the air? Answer only Y or N.", "Is there ? Answer only Y or N.", "Is there Relation:? Answer only Y or N.", "Is there numbers secured against the phone's enclosure? Answer only Y or N.", "Is there numbers focusing on the phone? Answer only Y or N.", "Is there numbers surrounding the perimeter of the phone? Answer only Y or N."], "dependencies": {"0": [], "1": [], "2": [], "3": [], "4": [], "5": [], "6": [], "7": [], "8": [], "9": [], "10": [], "11": [], "12": [], "13": [], "14": [], "15": [], "16": [], "17": [], "18": [], "19": [], "20": []}, "prompt_adherence_scores": {"0": [0.9990889430046082, 0.000552778656128794, 0.9984988570213318, 0.9820138216018677, 0.999447226524353, 0.562176525592804, 0.3775406777858734, 0.7310585975646973, 0.9465966820716858, 0.07585818320512772, 0.11920293420553207, 0.9914225339889526, 0.999447226524353, 0.3775406777858734, 0.14804720878601074, 0.9995694756507874, 0.3775406777858734, 0.5, 0.22270013391971588, 0.9399133324623108, 0.6791787147521973], "1": [0.9990889430046082, 0.0004305571492295712, 0.9984988570213318, 0.970687747001648, 0.9992903470993042, 0.622459352016449, 0.377540647983551, 0.7310585379600525, 0.9796676635742188, 0.04742586985230446, 0.07585817575454712, 0.9933071136474609, 0.9992903470993042, 0.377540647983551, 0.2227001190185547, 0.9997966289520264, 0.377540647983551, 0.5, 0.18242552876472473, 0.9626731276512146, 0.562176525592804]}, "iqa_scores": [0.6995953151157924, 0.6059177943638393], "images": ["79f16d47-8b5d-48b1-ad1f-e654b7e9c81d_0.png", "79f16d47-8b5d-48b1-ad1f-e654b7e9c81d_1.png"]}