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- # 🎬 Movies Visual Features
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- A dataset designed for Movie Recommendation based on the data extracted from movies. You can read more about it [here](https://github.com/RecSys-lab/SceneSense).
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # 🎬 SceneSense Dataset
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+ The dataset contains visual features obtained from a wide range of movies (full-length), their shots, and free trailers. It can be used in recommendation, information retrieval, classification, _etc_. You can read more about it [on the GitHub repository](https://github.com/RecSys-lab/SceneSense).
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+ <!-- [![arXiv](https://img.shields.io/badge/arXiv-2309.10461-b31b1b.svg)](https://arxiv.org/abs/2309.10461) -->
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+ ## πŸ“ƒ Table of Content
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+ - [Dataset Stats](#stats)
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+ ## πŸ“Š Dataset Stats <a id="stats"></a>
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+ You can find below the stats and characteristics of the dataset:
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+ | Aspect | Value |
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+ | ------------------------------------------- | --------- |
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+ | **Total Number of Movies:** | 274 |
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+ | **Average Frames per Movie:** | 7,732 |
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+ | **Total Number of Frames/Feature Vectors:** | 2,118,647 |
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+ Also, the stats when combined with **MovieLenz 25M** ([link](https://grouplens.org/datasets/movielens/25m/)) are listed below:
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+ | Aspect | Value |
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+ | ----------------------------------- | --------- |
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+ | **Accumulative # of Genres:** | 723 |
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+ | **Average Movie Ratings:** | 3.88/5 |
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+ | **Total # of Users:** | 158,146 |
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+ | **Accumulative # of Interactions:** | 2,869,024 |
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+ In terms of the model-based characteristics of the datase:
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+ | Data | Model | Total Files | Size on Disk |
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+ | ----------- | ----- | ----------- | ------------- |
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+ | Full Movies | incp3 | 84,872 | 35.8 GB |
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+ | Full Movies | vgg19 | 84,872 | 46.1 GB |
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+ | Movie Shots | incp3 | 16,713 | 7.01 GB |
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+ | Movie Shots | vgg19 | 24,598 | 13.3 GB |
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+ | Trailers | incp3 | 1,725 | 681 MB |
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+ | Trailers | vgg19 | 1,725 | 885 MB |
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+ | **Total** | - | **214,505** | **~103.8 GB** |