Datasets:

nichetensor-org
/

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+ {"prompt": "a hot air balloon, situated in the foreground. The hot air balloon is old and somewhat damaged, with its body appearing weathered and tilted feeding There are two conical wings arranged in Japanese kanzashi, currently at varying elevations. Each wing features a golden closer gate, which is fa\u00e7ade blue per The window of the hot air balloon is also patterned with tiles and appears to be divided into multiple panes. Scattered around it are lines and like patterns that could represent lines from the balloon across the area.", "questions": ["Is there Object:? Answer only Y or N.", "Is there - hot air balloon? Answer only Y or N.", "Is there - conical wings? Answer only Y or N.", "Is there - golden closer gate? Answer only Y or N.", "Is there - window? Answer only Y or N.", "Is there - tiles? Answer only Y or N.", "Is there ? Answer only Y or N.", "Is there Attribute:? Answer only Y or N.", "Is there - old? Answer only Y or N.", "Is there - damaged? Answer only Y or N.", "Is there - weathered? Answer only Y or N.", "Is there - tilted? Answer only Y or N.", "Is there - golden? Answer only Y or N.", "Is there - blue? Answer only Y or N.", "Is there - fa\u00e7ade? Answer only Y or N.", "Is there ? Answer only Y or N.", "Is there Event:? Answer only Y or N.", "Is there - None? Answer only Y or N.", "Is there ? Answer only Y or N.", "Is there Relation:? Answer only Y or N.", "Is there - conical wings are arranged in Japanese kanzashi? Answer only Y or N.", "Is there - golden closer gate is on each wing? Answer only Y or N.", "Is there - window is patterned with tiles? Answer only Y or N.", "Is there - lines and patterns are scattered around the hot air balloon? 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": []}, "prompt_adherence_scores": {"0": [0.9914225339889526, 0.9980732798576355, 0.047425877302885056, 0.06008664891123772, 0.9997966289520264, 0.037326883524656296, 0.5, 0.5, 0.562176525592804, 0.01590639166533947, 0.18242552876472473, 0.9046505689620972, 0.9399133324623108, 0.9399133324623108, 0.18242552876472473, 0.5, 0.5, 0.07585818320512772, 0.5, 0.18242552876472473, 0.0024726232513785362, 0.22270013391971588, 0.9947798848152161, 0.5], "1": [0.9947798252105713, 0.9990890026092529, 0.047425877302885056, 0.007577241864055395, 0.9997388124465942, 0.9399133324623108, 0.3775406777858734, 0.5621764659881592, 0.22270013391971588, 0.020332355052232742, 0.03308597952127457, 0.6791787147521973, 0.9525741934776306, 0.9959298372268677, 0.037326887249946594, 0.3775406777858734, 0.8519527912139893, 0.09534946829080582, 0.3775406777858734, 0.22270013391971588, 0.00407013762742281, 0.01798621006309986, 0.9988304972648621, 0.22270016372203827]}, "iqa_scores": [0.6849870681762695, 0.6670006343296596], "images": ["23b768f0-28ab-43c1-9a4e-0d489f6daaf4_0.png", "23b768f0-28ab-43c1-9a4e-0d489f6daaf4_1.png"]}