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🖍️ Zulense Whiteboard: Class 5 Foundational Math Corpus
Foundational Numeracy Data for the Zulense Imagination Engine
This repository contains the raw video ingestion for Class 5 Mathematics. Unlike our Class 8 datasets (which focus on complex algebra/geometry), this corpus is curated specifically for Foundational Numeracy, aligning with the bridge curriculum often targeted by the NIPUN Bharat mission.
🎯 Dataset Purpose
This data trains the "Junior" capabilities of the Zulense Engine:
- Simpler Visuals: Class 5 content uses larger fonts, simpler diagrams, and more repetitive visual explanations compared to Class 8.
- Slower Temporal Pace: The teaching style in these videos is slower and more deliberate, which helps the model learn stable video generation without "rushing" the animation.
- Whiteboard Focus: The majority of this dataset features high-contrast whiteboard teaching, which provides clean gradients for the model to learn edge detection.
📂 Content & Structure
- Subject: Mathematics (Numbers, Basic Operations, Factors, Multiples, Basic Geometry).
- Level: Class 5 (Indian Curriculum / NCERT).
- Format: Raw
.mp4/.mkvvideo files extracted from open educational sources. - State: Unfiltered / Raw. This data includes intros, outros, and teacher interactions.
🏗️ The Zulense Data Hierarchy
This dataset sits at the base of our "Curriculum Learning" pipeline:
| Dataset | Class Level | Role in AI Training |
|---|---|---|
| Zulense/Whiteboard (This Repo) | Class 5 | Stability Training. teaches the model basic object permanence and simple drawing logic. |
| ProgramerSalar/Rita | Class 8 | Complexity Training. Teaches the model abstract logic, 3D geometry, and dense text rendering. |
⚠️ Research Use & Rights
This dataset is an aggregation of educational content intended for Research & Non-Commercial AI Training under Fair Use principles. The goal is to democratize AI for literacy in India. If you are a copyright holder and wish for specific content to be excluded from this corpus, please contact the repository maintainers.
Maintained by the Zulense Research Team.
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