OmniVChat / examples /DSLP-VTT-UCR.json
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{
"id": "0011fb4cdc4640579b8c0b7688ee6dd0",
"ability": "DSLP",
"subcategory": "DSLP-VTT-UCR",
"video": "media/single_turn/0011fb4cdc4640579b8c0b7688ee6dd0.mp4",
"key_points": [
{
"tier": 0,
"point": "The response is in English, consistent with the language used by the user"
},
{
"tier": 1,
"point": "The response correctly understands the user's core question—how to enhance storytelling and emotional impact through composition and angles when taking documentary photos for a community cleanup charity event—and provides relevant photography advice."
},
{
"tier": 2,
"point": "The response provides at least two specific, actionable documentary photography composition or angle techniques (e.g., low-angle shooting, close-up details, using natural frames, before-and-after contrasts)."
},
{
"tier": 2,
"point": "The response incorporates the specific context of the user's upcoming community cleanup volunteer activity, offering advice relevant to the charity event scenario (e.g., capturing volunteers in action, before-and-after cleanup contrasts) rather than generic photography tips."
},
{
"tier": 3,
"point": "The response references visual information from the video (e.g., the user's framing gesture, orange volunteer vest, camera bag on the passenger seat), demonstrating perception and utilization of the visual channel."
}
],
"_example_clip": "examples/clips/DSLP-VTT-UCR.mp4"
}