A Very Big Video Reasoning Suite

We bet on a future that video reasoning is the next fundamental intelligence paradigm, after language reasoning, where spatiotemporal embodied world experiences could be more naturally captured.

Data Engines

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mirror_reflection

GitHub

Knowledge in-domain testset

Prompt

Given the mirror reflectivity = 0.31, predict the light reflection from the mirror surface. The reflected ray must extend all the way to the edge of the image.

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Video

animal_color_sorting

GitHub

Abstraction training set

Prompt

Colored animal faces are scattered at the top of the canvas, and containers with colored borders are at the bottom. Sort each animal into the container with the matching border color.

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Video

maze

GitHub

Spatiality out-of-domain testset

Prompt

The scene shows a 15×15 grid maze with dark walls and white pathways. A green circular marker indicates the starting position, and a red flag marks the end position. Starting from the green start position, navigate through the maze by moving along the white pathways. You can move to adjacent cells (up, down, left, right) but cannot pass through the dark walls. The goal is to find and demonstrate the complete path from the green start to the red flag end position, showing each step of the journey through the maze.

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Video

object_packing

GitHub

Transformation training set

Prompt

The scene shows objects on the left side and a container on the right side. Place the objects into the container one by one in the color order: orange - brown. Each object must be placed individually in the exact order specified, and all objects must end up inside the container.

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Video

mark_right_angled_triangles

GitHub

Perception training set

Prompt

The scene shows multiple triangles on a white background. Identify every triangle that has a right angle (90°) and mark each one with a red circle; each circle must enclose only that right-angled triangle, not any other shape. Show the solution step by step.

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