File size: 2,060 Bytes
a386871
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
{
    "prompt": [
        "The video features a man and a woman in a professional setting. The man, wearing a suit and tie, is seated and appears to be engaged in a conversation or listening attentively. The woman, also dressed in a suit, is seated next to him. The background suggests an indoor setting, possibly a conference room or a news studio. The style of the video is a standard news or interview format, with a focus on the subjects' expressions and body language. The lighting is even, and the camera angle is slightly elevated, capturing the subjects from the chest up."
    ],
    "video_ids": [
        "T5kuE6XQ-Zw_5_0to103"
    ],
    "question": [
        "Given this AI-generated video, does it successfully fulfill the 'Object(s)' condition: Man and woman, both seated and dressed in suits? 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 man and a woman both seated and dressed in suits. The man is wearing a pinstripe suit with a tie, and the woman is wearing a dark suit. Both appear to be in a formal setting, consistent with the description.\"\n}"
    ],
    "pred_answer": [
        "  \"answer\": \"No\",\n  \"explanation\": \"The video shows a man seated a woman, seated and dressed in suits. The man is clearly a darkinstripe suit and a tie, and the woman is not a similar suit. The are to be in a professional setting, possibly with the description.\"\n}<|im_end|>\n addCriterion",
        "  \"has_obvious_defect\"\": No,\n  \"\"dominant_issue\"\": \"\"none\"\",\n detail_loss_vs_reference\"\": NoNo\"\",\n evidence\"\": [}<|im_end|>\n<|im_start|>"
    ]
}