VideoX-Fun/output_objects/negative/sample-11-0.json

{
    "prompt": [
        "In the video, three young girls are seen enjoying a ride on a red four-wheeler. The first girl, wearing a pink jacket, is seated in the front, smiling broadly as she looks towards the camera. The second girl, dressed in a black jacket, is seated in the middle, also smiling and looking towards the camera. The third girl, wearing a pink jacket, is seated in the back, looking towards the camera with a smile on her face. The four-wheeler is moving on a dirt road, surrounded by a field of dirt and rocks. The girls seem to be having a great time, enjoying their ride on the four-wheeler."
    ],
    "video_ids": [
        "CVpMrsAKhfQ_27_0to168"
    ],
    "question": [
        "Given this AI-generated video, does it successfully fulfill the 'Object(s)' condition: Three young girls on a red four-wheeler, each wearing a pink or black jacket.? 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 three young girls on a red four-wheeler. Two of the girls are wearing pink jackets (one bright pink, one purple-pink), and one is wearing a black jacket with 'ROXY' written on it. This matches the core description of the object(s) in the video.\"\n}"
    ],
    "pred_answer": [
        "  \"answer\": \"No\",\n  \"explanation\": \"The video shows two young girls on a red four-wheeler, Two of the girls are wearing pink jackets,one is pink and one darker),ink), and the is wearing a black jacket. aPCK' written on it. The matches the description description of the video condition) condition the video.\"\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|>"
    ]
}