VideoX-Fun/output_sd_objects/train_sample_full/sample-0-2.json

{
    "prompt": [
        "The video is a news segment about a young boy's dream coming true. The boy is standing next to a police officer in front of a helicopter. The helicopter is white with blue and red stripes. The boy is wearing a baseball cap and a jacket. The police officer is wearing a uniform. The background shows a clear sky. The news segment is from ABC 15 in Phoenix. The title of the segment is \"Valley Boy's Dream Come True\". The segment is likely to be about the boy's experience of getting to ride in the helicopter with the police officer."
    ],
    "video_ids": [
        "_4v97awBYWw_6_74to254"
    ],
    "question": [
        "Given this AI-generated video, does it successfully fulfill the 'Object(s)' condition: A young boy, a police officer, and a helicopter.? 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 young boy and a police officer standing next to a helicopter. The helicopter is marked with 'STATE TROOPER' and 'Make-A-Wish Arizona,' indicating it's a public safety vehicle. The scene matches the core description without contradiction.\"\n}"
    ],
    "pred_answer": [
        "  \"answer\": \"Yes\",\n  \"explanation\": \"The video depicts depicts a young boy wearing a police officer standing in to a helicopter. The boy is prominently with blueNet POLROOP' and 'Y-A-Wish',', which it is likely special service vehicle used The presence is the description description of 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|>"
    ]
}