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--- |
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license: other |
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task_categories: |
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- video-classification |
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- automatic-speech-recognition |
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language: |
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- ru |
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tags: |
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- video |
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- speech |
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- emotion |
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- gesture |
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- multimodal |
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- russian |
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pretty_name: Russian Storytelling Video Dataset (700 participants) |
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--- |
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<p align="center"> |
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<img src="https://github.com/MaratDV/storytelling-video-dataset/raw/main/cover.jpg" width="700"/> |
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</p> |
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## 📚 Russian Storytelling Video Dataset (700 participants) |
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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. |
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## 📊 Sample |
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## 📺 Preview Video (10 Participants) |
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To get a quick impression of the dataset, watch this short compilation video (hosted on Google Drive): |
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🔗 **[Watch Preview (Google Drive)](https://drive.google.com/drive/folders/1QtC2il-Qb62nZNJlOtG8WvOf-SSkSGM-?usp=sharing)** |
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This sample includes 10 different native Russian speakers, each telling unscripted personal stories with visible gestures, emotions, and clear speech. |
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### ✅ Key Features: |
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- 📹 Full-body framing |
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- 🎤 High-quality audio |
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- 🧠 Natural speech, gestures, and emotion |
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- 🌐 Russian language |
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- 🔢 700+ participants |
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### 🔍 Use Cases: |
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- Multimodal emotion recognition |
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- Gesture and facial expression analysis |
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- Video-based language modeling |
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- Automatic speech recognition in Russian |
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### 🔒 License |
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**This dataset is not available for public or academic use.** |
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**Any use (research, educational, or commercial) requires a paid license.** |
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Please contact us to obtain a license or discuss terms: **chinzad@gmail.com** telegram @Marat_DV |
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## 📌 Описание на русском |
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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. |
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Каждое видео: 10+ минут, 30 FPS, Full HD и выше |
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Участники дали разрешение на коммерческое и AI-использование. |
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