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README.md

@@ -25,6 +25,34 @@ The dataset is designed for fine-tuning image-to-video models (specifically **Wa
 
 Output follows the **[VBVR DataFactory](https://github.com/video-reason/VBVR-DataFactory)** directory convention.
 
+## Examples
+
+Each clip starts with no answer highlighted, then progressively reveals the correct choice over ~5 seconds:
+
+### CoreCognition (M-1) — General Visual Reasoning
+
+| Answer: B | Answer: B |
+|---|---|
+| ![corecognition 0](examples/corecognition_0.gif) | ![corecognition 1](examples/corecognition_1.gif) |
+
+### ScienceQA (M-2) — Science Education
+
+| Answer: A | Answer: A |
+|---|---|
+| ![scienceqa 0](examples/scienceqa_0.gif) | ![scienceqa 1](examples/scienceqa_1.gif) |
+
+### MathVision (M-3) — Competition Math
+
+| Answer: A | Answer: D |
+|---|---|
+| ![mathvision 0](examples/mathvision_0.gif) | ![mathvision 1](examples/mathvision_1.gif) |
+
+### PhyX (M-4) — Physics Reasoning
+
+| Answer: C | Answer: C |
+|---|---|
+| ![phyx 0](examples/phyx_0.gif) | ![phyx 1](examples/phyx_1.gif) |
+
 ## Dataset Details
 
 | Property | Value |