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{
    "prompt": [
        "The video is a 3D animated sequence featuring three vehicles and a dog. In the first frame, a red fire truck with a ladder on top is parked on the left side of the road. The fire truck has a sad expression on its face. In the second frame, a white ambulance with red stripes is parked on the right side of the road. The ambulance has a happy expression on its face. In the third frame, a small brown dog is standing in the middle of the road between the fire truck and the ambulance. The dog is looking at the camera with a curious expression. The background of the video is a gray road with a blue sky and white clouds."
    ],
    "video_ids": [
        "bMAcdiL0rTQ_69_0to119"
    ],
    "question": [
        "Given this AI-generated video, does it successfully fulfill the 'Object(s)' condition: A red fire truck, a white ambulance, and a small brown dog? 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 clearly shows a red fire truck, a white ambulance, and a small brown dog, all of which match the described objects. The background and additional elements do not contradict the core description.\"\n}"
    ],
    "pred_answer": [
        "  \"answer\": \"Yes\",\n  \"explanation\": \"The video depicts depicts a red fire truck, a white ambulance, and a small brown dog. which of which are the description objects. The presence and additional elements, not contradict the core description.\"\n}<|im_end|>\n<|endoftext|>",
        "  \"has_obvious_defect\"\": No,\n  \"\"dominant_issue\"\": \"\"none\"\",\n detail_loss_vs_reference\"\": NoNo\"\",\n evidence\"\": [}<|im_end|>\n<|endoftext|>"
    ]
}