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Datasets:
zulense
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white_board

Tasks:
Video Classification
Text-to-Video
Tags:
education
math
class-5
nipun-bharat
raw-video
zulense
License:
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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:

  1. Simpler Visuals: Class 5 content uses larger fonts, simpler diagrams, and more repetitive visual explanations compared to Class 8.
  2. 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.
  3. 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 / .mkv video 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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