---
license: cc-by-4.0
language:
- en
tags:
- stem
- educational-videos
- stem-videos
- video-dataset
- video-understanding
- educational-ai
- science
- technology
- engineering
- mathematics
- multimodal
- vision-language
- video-captioning
- video-classification
- action-recognition
- visual-reasoning
- video-analysis
- computer-vision
- machine-learning
- deep-learning
- llm
- video-llm
- sft
- rlhf
- self-supervised-learning
task_categories:
- video-classification
pretty_name: STEM Videos Dataset
size_categories:
- 100K<n<1M
---
**Dataset Description:**
**This dataset is a large-scale collection of user-generated video data, containing 30,000 hours of real-world video content, designed to support the development and training of advanced video understanding models, multimodal AI systems, and next-generation vision-language applications.**

It consists of diverse user-generated videos captured in real-world environments, reflecting natural human behavior, interactions, activities, and contextual scenes. The dataset includes varied lighting conditions, camera angles, motion patterns, and recording qualities, making it highly valuable for building robust and generalizable AI systems.

**This dataset is suitable for training scalable and production-ready models for video understanding, action recognition, video classification, video captioning, temporal reasoning, multimodal learning, and video retrieval tasks. It also supports modern AI pipelines including Supervised Fine-Tuning (SFT), Self-Supervised Learning (SSL), Reinforcement Learning with Human Feedback (RLHF), and Video-Language Model (VLM) development.**

**Video Refining Process**
To ensure enterprise-grade quality and usability, the dataset undergoes a comprehensive 8-step video refining and processing pipeline before final delivery:

1. **Duplicate Asset Elimination** — Removal of duplicate or repeated video assets to maintain dataset uniqueness, consistency, and high-quality training data.
2. **Vertical Format Validation** — Verification that all video content meets vertical format compliance standards for mobile-first AI training requirements.
3. **AV1 Codec Audit** — Standardization of video codec to H.264 to ensure broad compatibility and consistent playback across platforms and models.
4. **Intelligent Text Recognition** — Automated ITR processing to detect, extract, and handle on-screen text within video frames for cleaner training data.
5. **Animated Content Classification** — Type tagging and classification of animated vs. real-world content to enable accurate dataset segmentation.
6. **AI-Synthetic Media Detection** — Authenticity filtering to identify and flag AI-generated or synthetic video content, ensuring real-world data integrity.
7. **Brand Logo Intelligence** — BLI detection to identify, track, and manage brand logos within video frames for compliance and neutrality.
8. **Watermark Integrity Analysis** — Detection and removal of watermarks to deliver clean, unobstructed video output ready for AI model training.

This processing pipeline ensures that the dataset is clean, scalable, production-ready, and optimized for video AI, computer vision, multimodal AI, SFT, and RLHF workflows.

**Dataset Specification**

    -Duration : 30K Hours
    -Modality: Video
    -Type: User-Generated Content
    -Data Source: Public platforms, curated submissions, and user-generated media
    -Data Nature: Real-world and diverse content
    -Volume: Large-scale multi-domain dataset

**Key Use Cases**

    -Action and activity recognition
    -Speech-to-text and multimodal understanding
    -Content moderation and safety detection
    -Recommendation systems for video platforms
    -Human behavior and interaction analysis
    -Model evaluation and benchmarking


**Value of This Dataset**

    -Enables advanced video and multimodal AI model development
    -Improves contextual and temporal understanding in AI systems
    -Helps build AI-powered video analytics and recommendation platforms
    -Enhances performance in real-world content understanding
    -Strengthens LLMs with multimodal reasoning capabilities

**Basic Json Schema**
```json
{
  "file_name": "string",
  "format": "string",
  "duration_seconds": "float",
  "width": "int32",
  "height": "int32",
  "fps": "float",
  "video_codec": "string",
  "audio_codec": "string",
  "bitrate": "int64",
  "file_size_bytes": "int64"
}
```


**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](https://infobay.ai/) or contact us directly.

    -Ph: (+91) 9236354075
    -Email: datareq@infobay.ai