{
    "prompt": [
        "The video shows a silver SUV parked on a dirt road in a forested area. The vehicle is covered in dust, indicating it has been driven on a dirt road. The license plate is visible and reads \"$17000\". The SUV is parked on the side of the road, facing the camera. The surrounding environment is lush and green, with trees and bushes visible in the background. The sky is partly cloudy, suggesting it might be a cool or overcast day. The style of the video is realistic, with a focus on the vehicle and its immediate surroundings. The camera angle is from the side, providing a clear view of the vehicle and the road."
    ],
    "video_ids": [
        "gVz0t4_hhOs_7_0to148"
    ],
    "question": [
        "Given this AI-generated video, does it successfully fulfill the 'Object(s)' condition: A silver SUV with a visible license plate reading '$17000'.? 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 shows a silver SUV, specifically a Hyundai Palisade, with a visible license plate that reads '$17000'. The plate is clearly displayed on the rear of the vehicle, matching the description in the condition.\"\n}"
    ],
    "pred_answer": [
        "  \"answer\": \"No\",\n  \"explanation\": \"The video shows a silver SUV with which a Subaru Santaisade, which a visible license plate. reads '$10000'. The license matches clearly visible in the front of the vehicle, matching the description. the question.}<|im_end|>\n addCriterion",
        "  \"has_obvious_defect\"\": No,\n  \"\"dominant_issue\"\": \"\"none\"\",\n detail_loss_vs_reference\"\": NoNo\"\",\n evidence\"\": [}<|im_end|>\n<|endoftext|>"
    ]
}