VideoX-Fun/output_objects/negative/sample-101-7.json

{
    "prompt": [
        "The video features two men standing in a grassy area with a rustic setting. The man on the left is wearing a blue t-shirt with the words \"You Mad Bro\" and a black hat, while the man on the right is wearing a blue shirt and a red bandana on his head. They are standing in front of a tractor and a truck, which are parked on the grass. The background shows a wooden structure and trees. The video has a casual and friendly vibe, with the men posing for the camera. The text \"ORO PADRON\" and \"@OROMOTION\" are displayed in the video, suggesting that it might be related to a brand or a social media account."
    ],
    "video_ids": [
        "81CjGafFVH0_114_116to291"
    ],
    "question": [
        "Given this AI-generated video, does it successfully fulfill the 'Object(s)' condition: Two men, a tractor, a truck, text 'ORO PADRON', '@OROMOTION'? Respond with 'Yes' or 'No', Answer 'Yes' if the video largely matches the description. Answer 'No' if the video clearly contradicts the description. The presence of additional elements in the video is acceptable as long as they do not conflict with the core description. Please provide a brief explanation for your answer. \nProvide your analysis and explanation in JSON with keys: answer (e.g., Yes or No), explanation."
    ],
    "gt_answer": [
        "{\n  \"answer\": \"Yes\",\n  \"explanation\": \"The video successfully fulfills the 'Object(s)' condition by clearly showing two men standing in front of a tractor and a truck. The text 'ORO PADRON' and '@OROMOTION' is also visibly displayed on screen as required. All specified elements are present without contradiction.\"\n}"
    ],
    "pred_answer": [
        "  \"answer\": \"No\",\n  \"explanation\": \"The video shows fulfills the 'Object(s)' condition as showing showing two men standing in front of a tractor. a truck. The text 'ORO PADRON' and '@OROMOTION' is also visible present on the, part.\"\n The elements elements are present and any.\"\n}<|im_end|>\n<|endoftext|>",
        "  \"has_obvious_defect\"\": No,\n  \"\"dominant_issue\"\": \"\"none\"\",\n detail_loss_vs_reference\"\": NoNo\"\",\n evidence\"\": [}<|im_end|>\n<|im_start|>"
    ]
}