InfoBayAI/Storyline_Verticle_Videos

Dataset Description:

This dataset is a large-scale collection of vertical storyline video content, designed to support the development of advanced AI systems for short-form video understanding, multimodal learning, storytelling analysis, and next-generation content intelligence.

The dataset contains diverse vertical-format videos optimized for mobile-first platforms, including narrative-driven clips, cinematic sequences, creator content, educational storytelling, lifestyle content, tutorials, and user-generated media.

Additionally, this dataset can be integrated into pipelines for Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF) workflows, helping improve AI performance in video comprehension, contextual reasoning, narrative understanding, recommendation systems, and multimodal generation tasks.

Key Use Cases

Short-form video understanding Storyline and scene transition analysis Video captioning and summarization Multimodal recommendation systems Speech-to-text and subtitle generation

Dataset Specification

Modality: Video (Audio + Visual) Format: Vertical Type: Storyline Duration: 2.2k Hours

Value of This Dataset

Enables advanced AI training for short-form vertical video platforms Improves multimodal understanding of storytelling and scene dynamics Supports AI systems for captioning, summarization, and recommendation Helps build intelligent creator tools and automated editing systems Enhances performance in video-language and multimodal reasoning tasks

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: datareq@infobay.ai