---
license: other
task_categories:
- video-classification
- automatic-speech-recognition
language:
- ru
tags:
- video
- speech
- emotion
- gesture
- multimodal
- russian
pretty_name: Russian Storytelling Video Dataset (700 participants)
---
<p align="center">
  <img src="https://github.com/MaratDV/storytelling-video-dataset/raw/main/cover.jpg" width="700"/>
</p>


## 📚 Russian Storytelling Video Dataset (700 participants)

This dataset contains full-body videos of 700 native Russian speakers engaged in unscripted storytelling. Participants freely tell personal stories, express a wide range of emotions, and naturally use facial expressions and hand gestures. Each video captures authentic human behavior in high resolution with high-quality audio.

## 📊 Sample
## 📺 Preview Video (10 Participants)

To get a quick impression of the dataset, watch this short compilation video (hosted on Google Drive):

🔗 **[Watch Preview (Google Drive)](https://drive.google.com/drive/folders/1QtC2il-Qb62nZNJlOtG8WvOf-SSkSGM-?usp=sharing)**
This sample includes 10 different native Russian speakers, each telling unscripted personal stories with visible gestures, emotions, and clear speech.

### ✅ Key Features:
- 📹 Full-body framing
- 🎤 High-quality audio
- 🧠 Natural speech, gestures, and emotion
- 🌐 Russian language
- 🔢 700+ participants

### 🔍 Use Cases:
- Multimodal emotion recognition
- Gesture and facial expression analysis
- Video-based language modeling
- Automatic speech recognition in Russian

### 🔒 License
**This dataset is not available for public or academic use.**  
**Any use (research, educational, or commercial) requires a paid license.**

Please contact us to obtain a license or discuss terms: **chinzad@gmail.com** telegram @Marat_DV

## 📌 Описание на русском

Набор видеоданных с 700 русскоязычными участниками, рассказывающими истории свободным текстом. Видео в высоком качестве (Full HD и выше), съёмка по колено, видны жесты, мимика, эмоции. Идеально подходит для задач обучения моделей речи, видеоаналитики и распознавания эмоций.

Каждое видео: 10+ минут, 30 FPS, Full HD и выше  
Участники дали разрешение на коммерческое и AI-использование.