| --- |
| license: cc-by-4.0 |
| dataset_info: |
| features: |
| - name: id |
| dtype: int64 |
| - name: description |
| dtype: string |
| - name: duration |
| dtype: float64 |
| - name: aspectratio |
| dtype: string |
| - name: videourl |
| dtype: string |
| - name: author |
| dtype: string |
| - name: categories |
| dtype: string |
| - name: framerate |
| dtype: float64 |
| - name: r18 |
| dtype: int64 |
| splits: |
| - name: train |
| num_bytes: 16755833083 |
| num_examples: 14394510 |
| download_size: 5410262648 |
| dataset_size: 16755833083 |
| task_categories: |
| - text-to-video |
| - video-classification |
| language: |
| - en |
| tags: |
| - captions |
| - metadata |
| pretty_name: CleanVid Map (15M) |
| size_categories: |
| - 10M<n<100M |
| --- |
| |
| # CleanVid Map (15M) 🎥 |
| ### TempoFunk Video Generation Project |
|
|
| CleanVid-15M is a large-scale dataset of videos with multiple metadata entries such as: |
| - Textual Descriptions 📃 |
| - Recording Equipment 📹 |
| - Categories 🔠 |
| - Framerate 🎞️ |
| - Aspect Ratio 📺 |
|
|
| CleanVid aim is to improve the quality of WebVid-10M dataset by adding more data and cleaning the dataset by dewatermarking the videos in it. |
|
|
| This dataset includes only the map with the urls and metadata, with 3,694,510 more entries than the original WebVid-10M dataset. |
| Note that the videos are low-resolution, ranging from 240p to 480p. But this shouldn't be a problem as resolution scaling is difficult in Text-To-Video models. |
| More Datasets to come for high-res use cases. |
|
|
| CleanVid is the foundation dataset for the TempoFunk Video Generation project. |
|
|
| Built from a crawl of Shutterstock from June 25, 2023. |
|
|
| ## Format 📊 |
|
|
| - id: Integer (int64) - Shutterstock video ID |
| - description: String - Description of the video |
| - duration: Float(64) - Duration of the video in seconds |
| - aspectratio: String - Aspect Ratio of the video separated by colons (":") |
| - videourl: String - Video URL for the video in the entry, MP4 format. WEBM format is also available most of the times (by changing the extension at the end of the URL.). |
| - author: String - JSON-String containing information of the author such as `Recording Equipment`, `Style`, `Nationality` and others. |
| - categories: String - JSON-String containing the categories of the videos. (Values from shutterstock, not by us.) |
| - framerate: Float(64) - Framerate of the video |
| - r18: Bit (int64) - Wether the video is marked as mature content. 0 = Safe For Work; 1 = Mature Content |
|
|
| ## Code 👩💻 |
|
|
| If you want to re-create this dataset on your own, code is available here: |
|
|
| https://github.com/chavinlo/tempofunk-scrapper/tree/refractor1/sites/shutterstock |
|
|
| Due to rate-limitations, you might need to obtain a proxy. Functionality for proxies is included in the repository. |
|
|
| ## Sample 🧪 |
|
|
| ```json |
| { |
| "id": 1056934082, |
| "description": "Rio, Brazil - February 24, 2020: parade of the samba school Mangueira, at the Marques de Sapucai Sambodromo", |
| "duration": 9.76, |
| "aspectratio": "16:9", |
| "videourl": "https://www.shutterstock.com/shutterstock/videos/1056934082/preview/stock-footage-rio-brazil-february-parade-of-the-samba-school-mangueira-at-the-marques-de-sapucai.mp4", |
| "author": { |
| "accountsId": 101974372, |
| "contributorId": 62154, |
| "bio": "Sempre produzindo mais", |
| "location": "br", |
| "website": "www.dcpress.com.br", |
| "contributorTypeList": [ |
| "photographer" |
| ], |
| "equipmentList": [ |
| "300mm f2.8", |
| "24-70mm", |
| "70-200mm", |
| "Nikon D7500 ", |
| "Nikon Df", |
| "Flashs Godox" |
| ], |
| "styleList": [ |
| "editorial", |
| "food", |
| "landscape" |
| ], |
| "subjectMatterList": [ |
| "photographer", |
| "people", |
| "nature", |
| "healthcare", |
| "food_and_drink" |
| ], |
| "facebookUsername": "celso.pupo", |
| "googlePlusUsername": "celsopupo", |
| "twitterUsername": "celsopupo", |
| "storageKey": "/contributors/62154/avatars/thumb.jpg", |
| "cdnThumbPath": "/contributors/62154/avatars/thumb.jpg", |
| "displayName": "Celso Pupo", |
| "vanityUrlUsername": "rodrigues", |
| "portfolioUrlSuffix": "rodrigues", |
| "portfolioUrl": "https://www.shutterstock.com/g/rodrigues", |
| "instagramUsername": "celsopupo", |
| "hasPublicSets": true, |
| "instagramUrl": "https://www.instagram.com/celsopupo", |
| "facebookUrl": "https://www.facebook.com/celso.pupo", |
| "twitterUrl": "https://twitter.com/celsopupo" |
| }, |
| "categories": [ |
| "People" |
| ], |
| "framerate": 29.97, |
| "r18": 0 |
| } |
| ``` |
|
|
| ## Credits 👥 |
|
|
| ### Main |
|
|
| - Lopho - Part of TempoFunk Video Generation |
| - Chavinlo - Part of TempoFunk Video Generation & CleanVid Crawling, Scraping and Formatting |
|
|
| ``` |
| @InProceedings{Bain21, |
| author = "Max Bain and Arsha Nagrani and G{\"u}l Varol and Andrew Zisserman", |
| title = "Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval", |
| booktitle = "IEEE International Conference on Computer Vision", |
| year = "2021", |
| } |
| ``` |
|
|
| ### Extra |
|
|
| - Salt - Base Threading Code (2022) |
