AI Dataset2026
Provides 22 curated Three.js-based cases for code-guided video generation across eight application categories. Each case bundles an editable scene (Three.js program), a 960×544 proxy video, a 1536×864 reference image, and a plain-text prompt for controlled video-generation evaluation.
AI Dataset2026
Benchmark package for evaluating visual agents that produce editable 3D Blender projects from real-world text, image, and video briefs; includes 223 tasks, 2,651 binary rubrics, Harbor-compatible inputs with Base64 previews, and multi-view render verification.
Provides a large corpus of runnable 3D programs and a multi-agent harness that generates, executes, measures, visually judges, and repairs executable 3D code to produce editable, verifiable 3D scenes. Includes ~269K runnable programs, 2.03M render–caption pairs, and an automated execution+repair pipeline.