Datasets:

nichetensor-org
/

open-category

+ {"prompt": "a person performing on stage. The individual is wearing a reflective visor lens, which covers most of their body, giving a reflective gaze. The person is also wearing a stand-up outfit, which includes a layered, vibrant outfit with intricate designs and halter neck layers. The dress is knitted or cinched to the neck, snowy reinforcing the traditional style of the performance. They are wearing dark, possibly black, pants and a blue hat that rests on their head, accentuating their glimpse of the venue. The setup is simple and straightforward, with the focus on paying attention to the performer.", "questions": ["Is there Object:? Answer only Y or N.", "Is there person? Answer only Y or N.", "Is there reflective visor lens? Answer only Y or N.", "Is there stand-up outfit? Answer only Y or N.", "Is there layered, vibrant outfit? Answer only Y or N.", "Is there intricate designs? Answer only Y or N.", "Is there halter neck layers? Answer only Y or N.", "Is there dark pants? Answer only Y or N.", "Is there blue hat? Answer only Y or N.", "Is there ? Answer only Y or N.", "Is there Attribute:? Answer only Y or N.", "Is there reflective? Answer only Y or N.", "Is there vibrant? Answer only Y or N.", "Is there intricate? Answer only Y or N.", "Is there traditional? Answer only Y or N.", "Is there dark? Answer only Y or N.", "Is there blue? Answer only Y or N.", "Is there ? Answer only Y or N.", "Is there Event:? Answer only Y or N.", "Is there performing on stage? Answer only Y or N.", "Is there ? Answer only Y or N.", "Is there Relation:? Answer only Y or N.", "Is there person is wearing reflective visor lens? Answer only Y or N.", "Is there person is wearing stand-up outfit? Answer only Y or N.", "Is there person is wearing dark pants? Answer only Y or N.", "Is there person is wearing blue hat? 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": [], "21": [], "22": [], "23": [], "24": [], "25": []}, "prompt_adherence_scores": {"0": [0.9706878066062927, 0.9988305568695068, 0.9995694160461426, 0.6224592924118042, 0.9975273609161377, 0.9994471669197083, 0.9046505093574524, 0.7310585975646973, 0.9997388124465942, 0.2689414322376251, 0.7772998213768005, 0.9980732798576355, 0.9933071136474609, 0.9770225882530212, 0.8807970881462097, 0.8519527912139893, 0.9988304972648621, 0.2689414322376251, 0.9890130758285522, 0.9525741934776306, 0.2689414322376251, 0.14804719388484955, 0.9990890026092529, 0.562176525592804, 0.7772998213768005, 0.9988304972648621], "1": [0.9525741338729858, 0.9859363436698914, 0.9986749291419983, 0.43782350420951843, 0.99919593334198, 0.998498797416687, 0.9525740742683411, 0.5, 0.9998766183853149, 0.3775406777858734, 0.7772998213768005, 0.9968273043632507, 0.9980732798576355, 0.9706878066062927, 0.9046505689620972, 0.5, 0.9984988570213318, 0.3775406777858734, 0.998498797416687, 0.9933071732521057, 0.3775406777858734, 0.2227001190185547, 0.9953904151916504, 0.622459352016449, 0.43782347440719604, 0.9947798848152161]}, "iqa_scores": [0.5235710144042969, 0.5194429670061383], "images": ["9df43710-0191-4d8b-8982-61a155842ab4_0.png", "9df43710-0191-4d8b-8982-61a155842ab4_1.png"]}