bw_0223 · tuk_tuk_interview
模型实际输入详情 · 两个模型的 inputs 文件逐字节一致，已核验。
原始题目全文
以下逐字展示 query.txt，保留原文语言；这是任务要求，并非生成结果或评分标准。
I'm preparing a lesson for my students and need a previz from this reference to explain framing and test other angles later. Recreate the close two-person interview: a young man speaks to camera as the woman beside him leans in and interacts, with the tuk-tuk and city street visible behind them; carry over everything else shown. Keep both performers rigged and animated, matching the action timing plus camera framing and movement. Prioritize their natural expressions, lip sync and gestures. Match the reference materials and lighting; use your judgment on minor detail. Deliver an H.264 .mp4 at 3840x2160, 30fps, matching the clip’s roughly 2.0-second duration, plus an editable .blend project.下载 query.txt
原始参考素材
任务附件
本题没有额外附件。
本次运行附加的执行指令
这是自建 harness 传给两模型的共同执行指令，不属于原始题目。CPU 设置与个别原题 GPU 要求之间的差异，详见主页说明。
Complete the Blender creation task in /workspace/inputs/query.txt using all declared references and attachments in /workspace/inputs/input.json. Read the reference images with Read; for video, extract and inspect frames with ffmpeg and Read. Blender 4.2.10 is available as `blender` or /runtime/blender/blender. Python with Pillow/NumPy is available as `python`. You can write and run bpy scripts with background Blender. This machine uses CPU Cycles; use 8 threads, and inspect your renders before finishing. You have an 8-hour time budget. Fulfil the original requested deliverables, including animations and resolutions where specified. Save the editable primary project to /workspace/exports/final.blend, with requested images/videos and all texture dependencies inside /workspace/exports using relative paths or packed assets. Put temporary scripts and previews under /workspace/work. Do not finish while required rendering jobs are still running. Use only the provided task inputs, your tools, and your own creation work; evaluation is separate.
完整输入文件
| 文件（点击下载） | 大小 |
|---|---|
| input.json | 164 B |
| instruction.html | 3,480 B |
| query.txt | 700 B |
| reference_images.base64.json | 99 B |
| references/video_01.mp4 | 11,396,658 B |
查看 input.json 文件清单
{
"task_id": "bw_0223",
"query_file": "query.txt",
"files": [
"references/video_01.mp4",
"instruction.html",
"reference_images.base64.json"
]
}
instruction.html 和 reference_images.base64.json 为输入目录内的原始文件，已保留供下载。本页不包含评测 rubric 或模型产物。