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README.md
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pretty_name: MovieFeats_Visual
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# π¬
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pretty_name: MovieFeats_Visual
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- n>100G
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---
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# π¬ 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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## π Table of Content
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- [Dataset Stats](#stats)
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## π 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** |
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