100+ datasets found
  1. Data from: YouTube Videos Datasets

    • brightdata.com
    .json, .csv, .xlsx
    Updated Dec 20, 2024
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    Bright Data (2024). YouTube Videos Datasets [Dataset]. https://brightdata.com/products/datasets/youtube/videos
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    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    Dec 20, 2024
    Dataset authored and provided by
    Bright Datahttps://brightdata.com/
    License

    https://brightdata.com/licensehttps://brightdata.com/license

    Area covered
    Worldwide, YouTube
    Description

    Use our YouTube Videos dataset to extract detailed information from public videos and filter by video title, views, upload date, or likes. Data points include video URL, title, description, thumbnail, upload date, view count, like count, comment count, tags, and more. You can purchase the entire dataset or a customized subset, tailored to your needs. Popular use cases for this dataset include trend analysis, content performance tracking, brand monitoring, and influencer campaign optimization.

  2. YouTube Trending Video Dataset (updated daily)

    • kaggle.com
    zip
    Updated Apr 15, 2024
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    Rishav Sharma (2024). YouTube Trending Video Dataset (updated daily) [Dataset]. https://www.kaggle.com/rsrishav/youtube-trending-video-dataset
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    zip(0 bytes)Available download formats
    Dataset updated
    Apr 15, 2024
    Authors
    Rishav Sharma
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    YouTube
    Description

    This dataset is a daily record of the top trending YouTube videos and it will be updated daily.

    Context

    YouTube maintains a list of the top trending videos on the platform. According to Variety magazine, “To determine the year’s top-trending videos, YouTube uses a combination of factors including measuring users interactions (number of views, shares, comments and likes). Note that they’re not the most-viewed videos overall for the calendar year”.

    Note that this dataset is a structurally improved version of this dataset.

    Content

    This dataset includes several months (and counting) of data on daily trending YouTube videos. Data is included for the IN, US, GB, DE, CA, FR, RU, BR, MX, KR, and JP regions (India, USA, Great Britain, Germany, Canada, France, Russia, Brazil, Mexico, South Korea, and, Japan respectively), with up to 200 listed trending videos per day.

    Each region’s data is in a separate file. Data includes the video title, channel title, publish time, tags, views, likes and dislikes, description, and comment count.

    The data also includes a category_id field, which varies between regions. To retrieve the categories for a specific video, find it in the associated JSON. One such file is included for each of the 11 regions in the dataset.

    For more information on specific columns in the dataset refer to the column metadata.

    Acknowledgements

    This dataset was collected using the YouTube API. This dataset is the updated version of Trending YouTube Video Statistics.

    Inspiration

    Possible uses for this dataset could include: - Sentiment analysis in a variety of forms - Categorizing YouTube videos based on their comments and statistics. - Training ML algorithms like RNNs to generate their own YouTube comments. - Analyzing what factors affect how popular a YouTube video will be. - Statistical analysis over time .

    For further inspiration, see the kernels on this dataset!

  3. Most viewed YouTube videos of all time 2025

    • statista.com
    • ai-chatbox.pro
    Updated Feb 17, 2025
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    Statista (2025). Most viewed YouTube videos of all time 2025 [Dataset]. https://www.statista.com/statistics/249396/top-youtube-videos-views/
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    Dataset updated
    Feb 17, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2025
    Area covered
    Worldwide, YouTube
    Description

    On June 17, 2016, Korean education brand Pinkfong released their video "Baby Shark Dance", and the rest is history. In January 2021, Baby Shark Dance became the first YouTube video to surpass 10 billion views, after snatching the crown of most-viewed YouTube video of all time from the former record holder "Despacito" one year before. "Baby Shark Dance" currently has over 15 billion lifetime views on YouTube. Music videos on YouTube “Baby Shark Dance” might be the current record-holder in terms of total views, but Korean artist Psy’s “Gangnam Style” video remained on the top spot for longest (1,689 days or 4.6 years) before ceding its spot to its successor. With figures like these, it comes as little surprise that the majority of the most popular videos on YouTube are music videos. Since 2010, all but one the most-viewed videos on YouTube have been music videos, signifying the platform’s shift in focus from funny, viral videos to professionally produced content. As of 2022, about 40 percent of the U.S. digital music audience uses YouTube Music. Popular video content on YouTube Music fans are also highly engaged audiences and it is not uncommon for music videos to garner significant amounts of traffic within the first 24 hours of release. Other popular types of videos that generate lots of views after their first release are movie trailers, especially superhero movies related to the MCU (Marvel Cinematic Universe). The first official trailer for the upcoming film “Avengers: Endgame” generated 289 million views within the first 24 hours of release, while the movie trailer for Spider-Man: No Way Home generated over 355 views on the first day from release, making it the most viral movie trailer.

  4. YouTube Datasets

    • brightdata.com
    .json, .csv, .xlsx
    Updated Jan 9, 2023
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    Bright Data (2023). YouTube Datasets [Dataset]. https://brightdata.com/products/datasets/youtube
    Explore at:
    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    Jan 9, 2023
    Dataset authored and provided by
    Bright Datahttps://brightdata.com/
    License

    https://brightdata.com/licensehttps://brightdata.com/license

    Area covered
    Worldwide, YouTube
    Description

    Use our YouTube profiles dataset to extract both business and non-business information from public channels and filter by channel name, views, creation date, or subscribers. Datapoints include URL, handle, banner image, profile image, name, subscribers, description, video count, create date, views, details, and more. You may purchase the entire dataset or a customized subset, depending on your needs. Popular use cases for this dataset include sentiment analysis, brand monitoring, influencer marketing, and more.

  5. E

    List Of Vital YouTube Statistics Marketers Should Not Ignore In 2023

    • enterpriseappstoday.com
    Updated Oct 10, 2023
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    EnterpriseAppsToday (2023). List Of Vital YouTube Statistics Marketers Should Not Ignore In 2023 [Dataset]. https://www.enterpriseappstoday.com/stats/youtube-statistics.html
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    Dataset updated
    Oct 10, 2023
    Dataset authored and provided by
    EnterpriseAppsToday
    License

    https://www.enterpriseappstoday.com/privacy-policyhttps://www.enterpriseappstoday.com/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Global, YouTube
    Description

    Key YouTube Statistics (Editor’s Choice) YouTube recorded 70 billion monthly active users in March 2023, which includes 55.10% of worldwide active social media users. There have been more than 14 million daily active users currently on YouTube, in the United States of America this platform is accessed by 62% of users. YouTube is touted as the second largest search engine and the second most visited website after Google. Revenue earned by YouTube in the first two quarters of 2023 is around $14.358 billion. In 2023, YouTube Premium and YouTube Music have recorded 80 million subscribers collectively worldwide. YouTube consumers view more than a billion hours of video per day. YouTube has more than 38 million active channels. In the fourth quarter of 2021, YouTube ad revenue has been $8.6 billion. Around 3 million paid subscribers to access YouTube TV. YouTube Premium has around 1 billion paid users. In 2023, YouTube was banned in countries such as China excluding Macau and Hong Kong, Eritrea, Iran, North Korea, Turkmenistan, and South Sudan. With 166 million downloads, the YouTube app has become the second most downloaded entertainment application across the world after Netflix. With 91 million downloads, YouTube Kids has become the sixth most downloaded entertainment app in the world. Nearly 90% of digital consumers access YouTube in the US, making it the most popular social network for watching video content. Over 70% of YouTube viewership takes place on its mobile application. More than 70% of YouTube video content watched by people is suggested by its algorithm. The average duration of a video on YouTube is 12 minutes. An average YouTube user spends 20 minutes and 23 seconds on the platform daily. Around 28% of YouTube videos that are published by popular channels are in the English language. 77% of YouTube users watch comedy content on the platform. With 247 million subscribers, T-Series has become the most subscribed channel on YouTube. Around 50 million users log on to YouTube every day. YouTube's biggest concurrent views record has been at 2.3 billion from when SpaceX has gone live on the platform to unveil Falcon Heavy Rocket. The majority of YouTube users are in the age group of 15 to 35 years in the US. The male-female ratio of YouTube users is 11:9. Apple INC. has been touted as the biggest advertiser on YouTube in 2020 spending $237.15 million. YouTube produced total revenue of $19.7 billion in 2020. As of 2021, the majority of YouTube users (467 million) are from India. It is the most popular platform in the United States with 74 percent of adult users. YouTube contributes to nearly 25% of mobile traffic worldwide. Daily live streaming on YouTube has increased by 45% in total in 2020. In India, around 225 million people are active on the platform each hour as per the 2021 statistics. YouTube Usage and Viewership Statistics #1. YouTube accounts for more than 2 billion monthly active users Around 2.7 billion users log on to YouTube each month. The number of monthly active users of YouTube is expected to grow even further. #2. Around 14.3 billion people visit the platform every month The number of YouTube visitors is far higher compared to Facebook, Amazon, and Instagram. #3. YouTube is accessible across 100 countries in 80 languages. The platform is widely available across different communities and nations. #4. 53.9% of YouTube users are men and 46.1% of women use the platform As of 2023 statistics, 53.9% of men use the platform and 46.1% of women over 18 years are on YouTube. The share in the number of males and females is 1.38 billion and 1.18 billion respectively. Age Group Male Female 18 to 24 8.5% 6% 25 to 34 11.6% 8.6% 35 to 44 9% 7.5% 45 to 54 6.2% 5.7% 55 to 64 4.4% 4.5% Above 65 4.3% 5.4% #5. 99% of YouTube users are active on other social media networks as well. Fewer than 1% of YouTube users are solely dependent on the platform. #6. Users spend around 20 minutes and 23 seconds per day on YouTube on average It is quite a generous amount of time spent on any social network platform. #7. YouTube is the second most visited site worldwide With more than 14 billion visits per month, YouTube has become the second most visited site in the world. However, its parent company Google is the most visited site across the globe. As per the statistics, YouTube is the third most popular searched word on Google. #8. 694000 hours of video content are streamed on YouTube per minute YouTube has outweighed Netflix as well in terms of streaming video content. #9. Over 81% of total internet users have accessed YouTube #10. Nearly 450 million hours of video content are uploaded on YouTube each hour More than 5 billion videos are watched on YouTube per day. #11. India has the maximum numb

  6. Hours of video uploaded to YouTube every minute 2007-2022

    • statista.com
    Updated Jun 20, 2025
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    Statista (2025). Hours of video uploaded to YouTube every minute 2007-2022 [Dataset]. https://www.statista.com/statistics/259477/hours-of-video-uploaded-to-youtube-every-minute/
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    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2007 - Jun 2022
    Area covered
    Worldwide, YouTube
    Description

    As of June 2022, more than *** hours of video were uploaded to YouTube every minute. This equates to approximately ****** hours of newly uploaded content per hour. The amount of content on YouTube has increased dramatically as consumer’s appetites for online video has grown. In fact, the number of video content hours uploaded every 60 seconds grew by around ** percent between 2014 and 2020. YouTube global users Online video is one of the most popular digital activities worldwide, with ** percent of internet users worldwide watching more than ** hours of online videos on a weekly basis in 2023. It was estimated that in 2023 YouTube would reach approximately *** million users worldwide. In 2022, the video platform was one of the leading media and entertainment brands worldwide, with a value of more than ** billion U.S. dollars. YouTube video content consumption The most viewed YouTube channels of all time have racked up billions of viewers, millions of subscribers and cover a wide variety of topics ranging from music to cosmetics. The YouTube channel owner with the most video views is Indian music label T-Series, which counted ****** billion lifetime views. Other popular YouTubers are gaming personalities such as PewDiePie, DanTDM and Markiplier.

  7. YouTube accounts: weekly videos posted 2023-2024, by audience size

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). YouTube accounts: weekly videos posted 2023-2024, by audience size [Dataset]. https://www.statista.com/statistics/1441300/youtube-accounts-video-posted-by-subscribers/
    Explore at:
    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2023 - Mar 2024
    Area covered
    Worldwide, YouTube
    Description

    In 2043, all YouTube channels analyzed saw the number of their published content on the platform ********. Huge accounts, which counted up to ****** followers, published approximately **** video per week, down from the **** videos published on average from these accounts in 2023. Overall, smaller accounts posted less often than larger accounts, with YouTube channels presenting up to *** followers posting less than one piece of content per week on average in both 2023 and 2024.

  8. Most Watched Youtube Videos

    • kaggle.com
    zip
    Updated Apr 19, 2024
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    Jatinthakur706 (2024). Most Watched Youtube Videos [Dataset]. https://www.kaggle.com/datasets/jatinthakur706/most-watched-youtube-videos
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    zip(0 bytes)Available download formats
    Dataset updated
    Apr 19, 2024
    Authors
    Jatinthakur706
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    YouTube
    Description

    This dataset contains data related to most watched YouTube videos till April 2024 . This contains different columns namely views,artist,channel,etc. The data is ranked on the basis of number of views.

  9. Trending YouTube Video Statistics

    • kaggle.com
    zip
    Updated Dec 11, 2021
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    zd6rvteb4 3 (2021). Trending YouTube Video Statistics [Dataset]. https://www.kaggle.com/icaram/trending-youtube-video-statistics
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    zip(210575746 bytes)Available download formats
    Dataset updated
    Dec 11, 2021
    Authors
    zd6rvteb4 3
    Description

    Dataset

    This dataset was created by zd6rvteb4 3

    Contents

  10. m

    YouTube Statistics By Content Ecosystem

    • market.biz
    Updated Jul 8, 2025
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    Market.biz (2025). YouTube Statistics By Content Ecosystem [Dataset]. https://market.biz/youtube-statistics/
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    Dataset updated
    Jul 8, 2025
    Dataset provided by
    Market.biz
    License

    https://market.biz/privacy-policyhttps://market.biz/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Africa, South America, Australia, Europe, ASIA, North America, YouTube
    Description

    Introduction

    YouTube Statistics: YouTube dominates the digital landscape with 2.70 billion monthly active users among the world population in mid-2025, making it the second-largest search engine after Google and the second social platform, following Facebook, across the world.

    People watch more than 1 billion hours of video on YouTube, that’s a million years of attention span. With over 20 million new videos uploaded to the platform every day, the YouTube content ecosystem is practically endless. Short-form video lovers have not been ignored.

    With an astonishing 70 billion views a day on YouTube shorts, these viewers are generating a new level of interactions and engagement across the platform. Of course, mobile dominates; 63% of watch time happens on mobile devices. With over 100 million subscribers to YouTube Premium and YouTube Music, in addition to free, YouTube is indeed a premium entertainment platform.

  11. Z

    Spotify and Youtube

    • data.niaid.nih.gov
    Updated Dec 4, 2023
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    Guarisco, Marco (2023). Spotify and Youtube [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_10253414
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    Dataset updated
    Dec 4, 2023
    Dataset provided by
    Guarisco, Marco
    Sallustio, Marco
    Rastelli, Salvatore
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    YouTube
    Description

    This is the statistics for the Top 10 songs of various spotify artists and their YouTube videos. The Creators above generated the data and uploaded it to Kaggle on February 6-7 2023. The license to use this data is "CC0: Public Domain", allowing the data to be copied, modified, distributed, and worked on without having to ask permission. The data is in numerical and textual CSV format as attached. This dataset contains the statistics and attributes of the top 10 songs of various artists in the world. As described by the creators above, it includes 26 variables for each of the songs collected from spotify. These variables are briefly described next:

    Track: name of the song, as visible on the Spotify platform. Artist: name of the artist. Url_spotify: the Url of the artist. Album: the album in wich the song is contained on Spotify. Album_type: indicates if the song is relesead on Spotify as a single or contained in an album. Uri: a spotify link used to find the song through the API. Danceability: describes how suitable a track is for dancing based on a combination of musical elements including tempo, rhythm stability, beat strength, and overall regularity. A value of 0.0 is least danceable and 1.0 is most danceable. Energy: is a measure from 0.0 to 1.0 and represents a perceptual measure of intensity and activity. Typically, energetic tracks feel fast, loud, and noisy. For example, death metal has high energy, while a Bach prelude scores low on the scale. Perceptual features contributing to this attribute include dynamic range, perceived loudness, timbre, onset rate, and general entropy. Key: the key the track is in. Integers map to pitches using standard Pitch Class notation. E.g. 0 = C, 1 = C♯/D♭, 2 = D, and so on. If no key was detected, the value is -1. Loudness: the overall loudness of a track in decibels (dB). Loudness values are averaged across the entire track and are useful for comparing relative loudness of tracks. Loudness is the quality of a sound that is the primary psychological correlate of physical strength (amplitude). Values typically range between -60 and 0 db. Speechiness: detects the presence of spoken words in a track. The more exclusively speech-like the recording (e.g. talk show, audio book, poetry), the closer to 1.0 the attribute value. Values above 0.66 describe tracks that are probably made entirely of spoken words. Values between 0.33 and 0.66 describe tracks that may contain both music and speech, either in sections or layered, including such cases as rap music. Values below 0.33 most likely represent music and other non-speech-like tracks. Acousticness: a confidence measure from 0.0 to 1.0 of whether the track is acoustic. 1.0 represents high confidence the track is acoustic. Instrumentalness: predicts whether a track contains no vocals. "Ooh" and "aah" sounds are treated as instrumental in this context. Rap or spoken word tracks are clearly "vocal". The closer the instrumentalness value is to 1.0, the greater likelihood the track contains no vocal content. Values above 0.5 are intended to represent instrumental tracks, but confidence is higher as the value approaches 1.0. Liveness: detects the presence of an audience in the recording. Higher liveness values represent an increased probability that the track was performed live. A value above 0.8 provides strong likelihood that the track is live. Valence: a measure from 0.0 to 1.0 describing the musical positiveness conveyed by a track. Tracks with high valence sound more positive (e.g. happy, cheerful, euphoric), while tracks with low valence sound more negative (e.g. sad, depressed, angry). Tempo: the overall estimated tempo of a track in beats per minute (BPM). In musical terminology, tempo is the speed or pace of a given piece and derives directly from the average beat duration. Duration_ms: the duration of the track in milliseconds. Stream: number of streams of the song on Spotify. Url_youtube: url of the video linked to the song on Youtube, if it have any. Title: title of the videoclip on youtube. Channel: name of the channel that have published the video. Views: number of views. Likes: number of likes. Comments: number of comments. Description: description of the video on Youtube. Licensed: Indicates whether the video represents licensed content, which means that the content was uploaded to a channel linked to a YouTube content partner and then claimed by that partner. official_video: boolean value that indicates if the video found is the official video of the song. The data was last updated on February 7, 2023.

  12. o

    Regional YouTube Viral Content Dataset

    • opendatabay.com
    .undefined
    Updated Jul 6, 2025
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    Datasimple (2025). Regional YouTube Viral Content Dataset [Dataset]. https://www.opendatabay.com/data/ai-ml/34cfa60b-afac-4753-9409-bc00f9e8fbec
    Explore at:
    .undefinedAvailable download formats
    Dataset updated
    Jul 6, 2025
    Dataset authored and provided by
    Datasimple
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Data Science and Analytics, YouTube
    Description

    This dataset contains YouTube trending video statistics for various Mediterranean countries. Its primary purpose is to provide insights into popular video content, channels, and viewer engagement across the region over specific periods. It is valuable for analysing content trends, understanding regional audience preferences, and assessing video performance metrics on the YouTube platform.

    Columns

    • country: The nation where the video was published.
    • video_id: A unique identification number assigned to each video.
    • title: The name of the video.
    • publishedAt: The publication date of the video.
    • channelId: The unique identification number for the channel that published the video.
    • channelTitle: The name of the channel that published the video.
    • categoryId: The category identification number of the video (e.g., '10' for 'music').
    • trending_date: The date on which the video was observed to be trending.
    • tags: Keywords or phrases associated with the video.
    • view_count: The total number of views the video has accumulated.
    • comment_count: The total number of comments received on the video.
    • thumbnail_link: The URL for the image displayed before the video is played.
    • comments_disabled: A boolean indicator showing if comments are disabled for the video.
    • ratings_disabled: A boolean indicator showing if ratings (likes/dislikes) are disabled for the video.
    • description: The explanatory text provided below the video.

    Distribution

    The dataset is structured in a tabular format, typically provided as a CSV file. It consists of 15 distinct columns detailing various aspects of YouTube trending videos. While the exact total number of rows or records is not specified, the data includes trending video counts for several date ranges in 2022: * 06/04/2022 - 06/08/2022: 31 records * 06/08/2022 - 06/11/2022: 56 records * 06/11/2022 - 06/15/2022: 57 records * 06/15/2022 - 06/19/2022: 111 records * 06/19/2022 - 06/22/2022: 130 records * 06/22/2022 - 06/26/2022: 207 records * 06/26/2022 - 06/29/2022: 321 records * 06/29/2022 - 07/03/2022: 523 records * 07/03/2022 - 07/07/2022: 924 records * 07/07/2022 - 07/10/2022: 861 records The dataset features 19 unique countries and 1347 unique video IDs. View counts for videos in the dataset range from approximately 20.9 thousand to 123 million.

    Usage

    This dataset is well-suited for a variety of analytical applications and use cases: * Exploratory Data Analysis (EDA): Discovering patterns, anomalies, and relationships within YouTube trending content. * Data Manipulation and Querying: Practising data handling using libraries such as Pandas or Numpy in Python, or executing queries with SQL. * Natural Language Processing (NLP): Analysing video titles, tags, and descriptions to extract key themes, sentiment, and trending topics. * Trend Prediction: Developing models to forecast future trending videos or content categories. * Cross-Country Comparison: Examining how trending content varies across different Mediterranean nations.

    Coverage

    • Geographic Scope: The dataset covers YouTube trending video statistics for 19 specific Mediterranean countries. These include Italy (IT), Spain (ES), Greece (GR), Croatia (HR), Turkey (TR), Albania (AL), Algeria (DZ), Egypt (EG), Libya (LY), Tunisia (TN), Morocco (MA), Israel (IL), Montenegro (ME), Lebanon (LB), France (FR), Bosnia and Herzegovina (BA), Malta (MT), Slovenia (SI), Cyprus (CY), and Syria (SY).
    • Time Range: The data primarily spans from 2022-06-04 to 2022-07-10, providing detailed daily trending information. A specific snapshot of the dataset is also available for 2022-11-07.

    License

    CC0

    Who Can Use It

    • Data Scientists and Analysts: For conducting in-depth research, building predictive models, and generating insights on social media trends.
    • Researchers: Those studying online content consumption patterns, regional cultural influences, and digital media behaviour.
    • Marketing Professionals: To identify popular content types, inform content strategy, and understand audience engagement on YouTube.
    • Students: For academic projects focusing on web data analysis, natural language processing, and statistical modelling.

    Dataset Name Suggestions

    • Mediterranean YouTube Trends 2022
    • YouTube Trending Videos: Mediterranean Insights
    • Regional YouTube Viral Content
    • Mediterranean Social Media Video Data
    • YouTube Trends in Southern Europe & North Africa

    Attributes

    Original Data Source: YouTube Trending Videos of the Day

  13. YouTube 8 Million - Data Lakehouse Ready

    • registry.opendata.aws
    Updated Feb 17, 2022
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    Amazon Web Services (2022). YouTube 8 Million - Data Lakehouse Ready [Dataset]. https://registry.opendata.aws/yt8m/
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    Dataset updated
    Feb 17, 2022
    Dataset provided by
    Amazon Web Serviceshttp://aws.amazon.com/
    Area covered
    YouTube
    Description

    This both the original .tfrecords and a Parquet representation of the YouTube 8 Million dataset. YouTube-8M is a large-scale labeled video dataset that consists of millions of YouTube video IDs, with high-quality machine-generated annotations from a diverse vocabulary of 3,800+ visual entities. It comes with precomputed audio-visual features from billions of frames and audio segments, designed to fit on a single hard disk. This dataset also includes the YouTube-8M Segments data from June 2019. This dataset is 'Lakehouse Ready'. Meaning, you can query this data in-place straight out of the Registry of Open Data S3 bucket. Deploy this dataset's corresponding CloudFormation template to create the AWS Glue Catalog entries into your account in about 30 seconds. That one step will enable you to interact with the data with AWS Athena, AWS SageMaker, AWS EMR, or join into your AWS Redshift clusters. More detail in (the documentation)[https://github.com/aws-samples/data-lake-as-code/blob/roda-ml/README.md.

  14. P

    YouTube-100M Dataset

    • paperswithcode.com
    Updated Feb 15, 2021
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    Shawn Hershey; Sourish Chaudhuri; Daniel P. W. Ellis; Jort F. Gemmeke; Aren Jansen; R. Channing Moore; Manoj Plakal; Devin Platt; Rif A. Saurous; Bryan Seybold; Malcolm Slaney; Ron J. Weiss; Kevin Wilson (2021). YouTube-100M Dataset [Dataset]. https://paperswithcode.com/dataset/youtube-100m
    Explore at:
    Dataset updated
    Feb 15, 2021
    Authors
    Shawn Hershey; Sourish Chaudhuri; Daniel P. W. Ellis; Jort F. Gemmeke; Aren Jansen; R. Channing Moore; Manoj Plakal; Devin Platt; Rif A. Saurous; Bryan Seybold; Malcolm Slaney; Ron J. Weiss; Kevin Wilson
    Area covered
    YouTube
    Description

    The YouTube-100M data set consists of 100 million YouTube videos: 70M training videos, 10M evaluation videos, and 20M validation videos. Videos average 4.6 minutes each for a total of 5.4M training hours. Each of these videos is labeled with 1 or more topic identifiers from a set of 30,871 labels. There are an average of around 5 labels per video. The labels are assigned automatically based on a combination of metadata (title, description, comments, etc.), context, and image content for each video. The labels apply to the entire video and range from very generic (e.g. “Song”) to very specific (e.g. “Cormorant”). Being machine generated, the labels are not 100% accurate and of the 30K labels, some are clearly acoustically relevant (“Trumpet”) and others are less so (“Web Page”). Videos often bear annotations with multiple degrees of specificity. For example, videos labeled with “Trumpet” are often labeled “Entertainment” as well, although no hierarchy is enforced.

  15. Youtube Videos - 5-Minute Crafts

    • kaggle.com
    Updated Dec 31, 2021
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    Mikit Kanakia (2021). Youtube Videos - 5-Minute Crafts [Dataset]. https://www.kaggle.com/datasets/mikitkanakia/youtube-videos-5minute-videos
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 31, 2021
    Dataset provided by
    Kaggle
    Authors
    Mikit Kanakia
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    YouTube
    Description

    Context

    5-Minute Crafts is the Top 10 Most Viewed and Subscribed channel and this is what amazed me. I want to find the insights which lead the success of the channel.

    Content

    The data represents the Video Meta data, description, tags and most important statistics of the video.

    Acknowledgements

    Youtube and 5-Minute Crafts Channel

    Inspiration

    Most liked topic in the channel. View, Like and Comment count based on the video tags? What does the description say about the video? What are the most used tags?

  16. h

    Data from: youtube-videos

    • huggingface.co
    Updated Feb 7, 2024
    + more versions
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    Pavana Pradeep Kumar (2024). youtube-videos [Dataset]. https://huggingface.co/datasets/pavitemple/youtube-videos
    Explore at:
    Dataset updated
    Feb 7, 2024
    Authors
    Pavana Pradeep Kumar
    Area covered
    YouTube
    Description

    pavitemple/youtube-videos dataset hosted on Hugging Face and contributed by the HF Datasets community

  17. U.S. YouTube video engagement generated by selected content creators 2022

    • statista.com
    Updated May 20, 2025
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    Statista (2025). U.S. YouTube video engagement generated by selected content creators 2022 [Dataset]. https://www.statista.com/statistics/1349992/us-youtube-content-creators-video-views-share/
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    Dataset updated
    May 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 2022
    Area covered
    United States
    Description

    As of July 2022, the largest bulk of YouTube video views in the United States was continued for over 90 percent by influencer-published videos. Videos created by media companies generated approximately six percent of all the views on the popular social video platform, while videos created by brands or aggregators generated only two percent of all the views on YouTube as of the examined period.

  18. S

    YouTube Creator Statistics By Revenue, Users Earning, Trends and Facts...

    • sci-tech-today.com
    Updated Jun 25, 2025
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    Sci-Tech Today (2025). YouTube Creator Statistics By Revenue, Users Earning, Trends and Facts (2025) [Dataset]. https://www.sci-tech-today.com/stats/youtube-creator-statistics-updated/
    Explore at:
    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Sci-Tech Today
    License

    https://www.sci-tech-today.com/privacy-policyhttps://www.sci-tech-today.com/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Global, YouTube
    Description

    Introduction

    YouTube Creator Statistics: YouTube is the world's largest video-sharing platform. It was launched in Feb 2005. In 2006 it was purchased by Google in 2006. As of 2024, it is the world’s second most-viewed website after Google search. YouTube has managed to create an unprecedented social impact on the world. It has been instrumental in changing the overall dynamics of social media presence.

    It has been a dominant force in shaping internet trends and creating millionaire celebrities. Likewise, it would be interesting to highlight YouTube creator statistics to gain valuable information on how this video-sharing platform has profoundly impacted the internet world.

  19. S

    YouTube Statistics By Revenue and Facts (2025)

    • sci-tech-today.com
    Updated Mar 20, 2025
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    Sci-Tech Today (2025). YouTube Statistics By Revenue and Facts (2025) [Dataset]. https://www.sci-tech-today.com/stats/youtube-statistics/
    Explore at:
    Dataset updated
    Mar 20, 2025
    Dataset authored and provided by
    Sci-Tech Today
    License

    https://www.sci-tech-today.com/privacy-policyhttps://www.sci-tech-today.com/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Global, YouTube
    Description

    Introduction

    YouTube Statistics: YouTube was founded on April 14th, 2005, by three PayPal employees, Jawed Karim, Steve Chen, and Chad Hurley. They started the company in an office above a small restaurant in San Mateo. The platform now has almost 2.49 billion active users monthly and has grown significantly over the years. 47% of internet users worldwide use YouTube each month.

    YouTube serves as both a social media platform and a search engine, allowing direct interaction with the audience and the creation of content that can be easily found by users. Let's explore more YouTube statistics.

  20. c

    YouTube Clickbait Classification Dataset

    • cubig.ai
    Updated May 2, 2025
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    CUBIG (2025). YouTube Clickbait Classification Dataset [Dataset]. https://cubig.ai/store/products/219/youtube-clickbait-classification-dataset
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    Dataset updated
    May 2, 2025
    Dataset authored and provided by
    CUBIG
    License

    https://cubig.ai/store/terms-of-servicehttps://cubig.ai/store/terms-of-service

    Area covered
    YouTube
    Measurement technique
    Privacy-preserving data transformation via differential privacy, Synthetic data generation using AI techniques for model training
    Description

    1) Data Introduction • The YouTube Clickbait Classification dataset consists of video titles and statistics aimed at classifying videos as clickbait or not clickbait. This dataset includes attributes such as video ID, title, views, likes, dislikes, and favorites, providing a basis for binary classification tasks to identify misleading content.

    2) Data Utilization (1) YouTube Clickbait data has characteristics that: • It includes detailed statistics for each video, such as views, likes, dislikes, and favorites, alongside the video titles. This information helps in understanding the engagement metrics and identifying patterns associated with clickbait content. (2) YouTube Clickbait data can be used to: • Content Analysis: Assists in developing models to classify videos as clickbait or not, helping in curating quality content and improving user experience on video platforms. • Marketing and SEO: Supports the development of strategies to enhance video reach and engagement while avoiding deceptive practices, aiding in ethical content marketing and search engine optimization.

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Bright Data (2024). YouTube Videos Datasets [Dataset]. https://brightdata.com/products/datasets/youtube/videos
Organization logo

Data from: YouTube Videos Datasets

Related Article
Explore at:
.json, .csv, .xlsxAvailable download formats
Dataset updated
Dec 20, 2024
Dataset authored and provided by
Bright Datahttps://brightdata.com/
License

https://brightdata.com/licensehttps://brightdata.com/license

Area covered
Worldwide, YouTube
Description

Use our YouTube Videos dataset to extract detailed information from public videos and filter by video title, views, upload date, or likes. Data points include video URL, title, description, thumbnail, upload date, view count, like count, comment count, tags, and more. You can purchase the entire dataset or a customized subset, tailored to your needs. Popular use cases for this dataset include trend analysis, content performance tracking, brand monitoring, and influencer campaign optimization.

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