Multilingual Cinematic
AI Training Dataset

Prepared by Obsora AI

Licensed cinematic productions with expressive performances, diverse scenes, and multilingual dubbing tracks for multimodal AI model training

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Dataset Overview

Obsora AI manages a catalog of licensed cinematic productions including feature films and serialized television dramas. These productions contain expressive performances, diverse scenes, and multilingual dubbing tracks that make them suitable for multimodal AI model training.

Core Dataset Metrics

3868
Original Cinematic Video
36540
Multilingual Dubbed Dataset
200
Films + TV Series
6
Languages

The multilingual estimate reflects the presence of multiple dubbed language tracks across many productions, significantly expanding the usable training dataset.

Dataset Structure

Video Content

TypeHours
Feature Films~200 hours
Television Series~3,668 hours
Total Base Video~3,868 hours

Series form the majority of the dataset, providing long narrative arcs and repeated character appearances that are useful for training models on dialogue flow, facial performance continuity, and human interaction.

Multilingual Dubbed Dataset

Many productions in the catalog have been distributed internationally with multiple dubbed audio tracks. Typical dubbing distribution includes languages such as:

Arabic
Spanish
Russian
Urdu / Hindi
Eastern European languages
Balkan languages

Combining the base video runtime with multilingual dubbing tracks results in approximately:

~36,540 hours

multilingual audiovisual dataset

Each dubbed track provides aligned speech data paired with identical video scenes, which is useful for multilingual model training.

AI Training Applications

Multimodal Video Models

  • Video-language alignment
  • Scene understanding
  • Multimodal reasoning

Facial Performance Models

  • Emotion recognition
  • Facial animation
  • Expressive avatar training

Speech & Dubbing AI

  • Multilingual dubbing models
  • Lip-sync generation
  • Speech-to-video synchronization

Generative AI

  • Digital character generation
  • Cinematic scene synthesis
  • Expressive avatar systems

AI-Relevant Scene Breakdown

Based on typical cinematic scene composition:

Scene TypeEstimated Hours
Face-visible scenes~2,900 hours
Dialogue scenes~2,320 hours
Emotion-rich scenes~970 hours
Multi-character interactions~1,350 hours

These scene types are particularly useful for training human-centric AI systems.

Obsora AI Role

Obsora AI acts as a dataset broker and licensing intermediary between production companies and AI developers.

Dataset sourcing

Licensing negotiation

Rights clearance

Metadata structuring

Large-scale dataset delivery

This enables AI companies to access cinematic datasets without negotiating individually with multiple studios.

Obsora AI

Multilingual Cinematic AI Training Dataset

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