{ "prompt": [ "The video captures a brown capybara in a lush green environment. The capybara is seen in three different positions, each time interacting with the surrounding foliage. In the first frame, the capybara is seen peeking out from behind a branch, its eyes wide and curious. In the second frame, the capybara is seen nibbling on a leaf, its mouth full of foliage. In the third frame, the capybara is seen walking through the foliage, its body partially hidden by the leaves and branches. The capybara's fur is a rich brown color, contrasting beautifully with the vibrant green of the foliage. The video is shot in a naturalistic style, capturing the capybara in its natural habitat." ], "video_ids": [ "Xm8XAaA40bM_77_0to149" ], "question": [ "Given this AI-generated video, does it successfully fulfill the 'Object(s)' condition: Brown capybara? 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 brown capybara partially obscured by green foliage, actively chewing on a plant stem. The animal's brown fur, facial features, and overall appearance are consistent with the description of a capybara. There are no elements that contradict this core description.\"\n}" ], "pred_answer": [ " \"answer\": \"No\",\n \"explanation\": \"The video shows depicts a brown capybara in obscured by leaves leaves. which eating on a leaf.. The cap's fur fur and facial features, and the body align consistent with the description of a capybara. The are no additional in contradict the description 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<|im_start|>" ] }