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This paper introduces WGO-Bench, a benchmark for robot video subtask annotation with 100 episodes and 743 segments, and finds that Gemini models outperform others, achieving 0.306 F1 for segmentation and 61% accuracy for labeling, with an open-source pipeline costing $2.64 per hour of video.