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Dataset Description:

This dataset is a large-scale collection of STEM video data, designed to support the development of advanced AI systems for scientific understanding, concept visualization, and multimodal learning.

Additionally, this dataset can be used in pipelines for Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF) workflows, improving model performance in scientific reasoning, video-based learning, and multimodal problem-solving tasks.

Key Use Cases

-Action and experiment recognition
-Video captioning and summarization for educational content
-Speech-to-text and lecture transcription
-Automated tutoring and e-learning systems
-Knowledge extraction from lectures and experiments
-Model evaluation and benchmarking

Dataset Specification

-Modality: Video (Audio + Visual)
-Type: Educational / STEM
-Data Source: Curated academic lectures, experiments, tutorials, and educational platforms
-Data Nature: Real-world and curated data
-Volume: Large-scale multi-domain dataset
-Duration : 100K Hours

Value of This Dataset

-Enables advanced STEM learning through video-based AI models
-Improves scientific reasoning and conceptual understanding
-Supports multimodal AI systems (vision + audio + text)
-Helps build AI-powered tutoring and educational platforms
-Enhances performance in video-based question answering and summarization
-Strengthens LLMs with multimodal STEM reasoning capabilities

Full Dataset Overview

130K+ hours of video data covering STEM and user-generated content

Data Creation

Procured through formal agreements and generated in the ordinary course of business.

Considerations

This dataset is provided for research and educational purposes only. It contains only sample data. For access to the full dataset and enterprise licensing options, please visit our website InfoBay AI or contact us directly.

-Ph: (91) 8303174762
-Email: vipul@infobay.ai
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