This dataset contains information about the last 10 videos uploaded by each YouTube channel, captured in early October 2025.

Each entry corresponds to a single video and includes information such as the video title, video ID, view count at the time of data collection, the channel it belongs to and more.

The channel_id column directly references the same identifier from the related Kaggle dataset YouTube 2025 Channels, which contains channel-level metadata such as subscriber count, total views, country, and creation date.

Together, these datasets provide a complete view of both channel activity and recent video performance across YouTube.

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 16 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 in the top spot for the longest time (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 of 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. 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 of release, making it the most viral movie trailer.

Hi, welcome to the most versatile dataset of YouTube thumbnails. This dataset goes hand in hand with the YouTubers-Sayting-things dataset. The same set of video ids was used to generate this dataset, and I will be updating both at once.

Now, obviously not all videos have a set thumbnail. In those cases, YouTube assigns a random frame as the subtitle, Only for those video Ids, we don't have the image.

Genres and channels

Description: This dataset contains detailed information about videos from various YouTube channels that specialize in data science and analytics. It includes metrics such as views, likes, comments, and publication dates. The dataset consists of 22862 rows, providing a robust sample for analyzing trends in content engagement, popularity of topics over time, and comparison of channels' performance.

Column Descriptors:

Channel_Name: The name of the YouTube channel. Title: The title of the video. Published_date: The date when the video was published. Views: The number of views the video has received. Like_count: The number of likes the video has received. Comment_Count: The number of comments on the video.

This dataset contains information from the following YouTube channels:

['sentdex', 'freeCodeCamp.org' ,'CampusX', 'Darshil Parmar',' Keith Galli' ,'Alex The Analyst', 'Socratica' , Krish Naik', 'StatQuest with Josh Starmer', 'Nicholas Renotte', 'Leila Gharani', 'Rob Mulla' ,'Ryan Nolan Data', 'techTFQ', 'Dataquest' ,'WsCube Tech', 'Chandoo', 'Luke Barousse', 'Andrej Karpathy', 'Thu Vu data analytics', 'Guy in a Cube', 'Tableau Tim', 'codebasics', 'DeepLearningAI', 'Rishabh Mishra' 'ExcelIsFun', 'Kevin Stratvert' ' Ken Jee','Kaggle' , 'Tina Huang']

This dataset can be used for various analyses, including but not limited to:

Identifying the most popular videos and channels in the data science field.

Understanding viewer engagement trends over time.

Comparing the performance of different types of content across multiple channels.

Performing a comparison between different channels to find the best-performing ones.

Identifying the best videos to watch for specific topics in data science and analytics.

Conducting a detailed analysis of your favorite YouTube channel to understand its content strategy and performance.

Note: The data is current as of the date of extraction and may not reflect real-time changes on YouTube. For any analyses, ensure to consider the date when the data was last updated to maintain accuracy and relevance.

Video has become one of the most popular online formats, spanning from educational content to product reviews. As of the second quarter of 2025, music videos recorded the highest category reach, with almost half of internet users worldwide reporting to watch music videos online each week. Social video engagement In recent years, YouTube and TikTok have become two of the most important social media platforms for global users, as video content commands high levels of engagement. In 2024, users worldwide spent approximately 28.4 hours using the YouTube mobile app per month. Additionally, the leading hashtags used by content creators on TikTok have amassed billions of views: as of October 2025, the TikTok hashtags “fyp” or “for you page” had reached 55 and 35 billion post views, respectively. Watching content: what device do users prefer? In 2024, televisions were the most used devices for global viewers to watch video-on-demand (VOD), with 58 percent of respondents reporting using these devices. In comparison, 12 percent of respondents reported using smartphones. Age group and generation are factors impacting viewership habits and device preferences, as younger users appear to prefer using their smartphones to consume content. According to a March 2024 survey, U.S. users aged 18-34 years were more likely to watch video content on smartphones than on any other devices. By comparison, connected TVs were particularly popular for the online video audience aged 35 and older.

This statistic presents the length of top performing videos on Facebook worldwide from 2017 to 2019, by reaction type. In 2017, the average length of top performing videos to receive the reaction type on Facebook known as "love" was *** seconds. By the end of February 2019, the video duration of the top "loved" videos had decreased to a total of ** seconds.

Comprehensive ranking dataset of the top 100 YouTube channels worldwide. This dataset features 100 channels with detailed statistics including subscriber counts, total video views, video count, and global rankings. The leading channel has 452,000,000 subscribers and 101,598,825,577 total views. Each entry includes comprehensive metrics to analyze channel performance, growth trends, and competitive positioning. This dataset is regularly updated to reflect the latest YouTube channel statistics and ranking changes, providing valuable insights for content creators, marketers, and researchers analyzing YouTube ecosystem trends and channel performance benchmarks.

As of March 2021, the ideal title length for a video hosted on YouTube.com appeared to be between six and ** words, as roughly ** percent of the top search results available on the platform presented this characteristic. Roughly ** percent of the videos featured among the top results after a search on the platform had titles of **** words or less, while titles with more than ** words tended to score poorly in the search results ranking.

Comprehensive YouTube channel statistics for Best video, featuring 218,000 subscribers and 35,074,935 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Entertainment category and is based in IN. Track 76 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.

Comprehensive YouTube channel statistics for AREEZ VIDEO BEST, featuring 262,000 subscribers and 93,983,001 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Sports category. Track 275 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.

This dataset provides a comprehensive collection of YouTube video and channel metadata curated for data analysis, visualization, and storytelling projects. It contains rich information on trending videos across multiple countries, including video performance statistics, engagement metrics, and channel-level details.

The dataset is designed to help learners and researchers explore real-world YouTube dynamics, such as: • What type of content gains the highest views and engagement? • How do categories perform across different countries? • What role do publishing time, video duration, or tags play in driving popularity? • Which channels dominate in terms of subscribers, views, and content consistency?

Features

The dataset includes detailed video-level fields such as: • Video ID, title, description, and publish time • Trending date and country • Tags, categories, duration, resolution, and licensed content status • Views, likes, and comment counts

Alongside channel-level information including: • Channel ID, title, and description • Channel country, publish date, and custom URL (if available) • Subscriber count, total views, video count, and hidden subscriber flag

With this structured dataset, students and professionals can perform data cleaning, transformation, SQL querying, trend analysis, and dashboarding in tools such as Excel, SQL, Power BI, Tableau, and Python. It is also suitable for advanced machine learning tasks like predicting video performance, engagement modeling, and natural language processing on video titles and descriptions.

Use Cases 1. Descriptive Analytics: Identify top categories, channels, and countries leading the YouTube trending space. 2. Comparative Analysis: Compare engagement rates across different regions and content types. 3. Visualization Projects: Create dashboards showing performance KPIs, category trends, and time-based patterns. 4. Storytelling: Derive business insights and best practices for creators, marketers, and educators on YouTube.

Educational Value

This dataset is structured specifically for student projects and group assignments. It ensures every learner can take a role—whether as a data engineer, analyst, visualization specialist, or business storyteller—mirroring the structure of real-world consulting projects.

Credits

This dataset is published as part of the YouTube Data Analytics Project initiated by Analytics Circle, an institute dedicated to empowering learners with practical data analytics, data science, and AI skills through hands-on projects and real-world applications.

As of January 2025, T-Series had reached surpassed 281 billion lifetime video views, making it the most-viewed YouTube channel owner of all time. Popular children's rhymes and song channel Cocomelon followed, with 194 billion lifetime views. Several children-themed channels such as Like Nastya, Kids Diana Show, and Vlad and Niki appeared in the ranking. YouTube is one of the most beloved platforms for children and teens In recent years, video content not only has become one of the most popular types of online formats for children but also one of the highest-performing online categories. The most viewed video on YouTube has been for several years "Baby Shark Dance," published by Korean education brand Pinkfong in June 2016. The catchy rhyme was the first YouTube video to reach and surpass 10 billion views, and as of January 2024 was sitting at 13.93 billion global views. YouTube channels that propose content for children and young teens are also among the most subscribed channels on the platform, with 3D-animation channel Cocomelon counting almost 188 million subscribers worldwide as of January 2025. Children mobile video app usage According to a survey of global parents conducted in September 2021, watching YouTube videos was the most common mobile activity for 54 percent of children, second only to online gaming. Additionally, watching movies and watching content on social media were indicated by 30 percent and 20 percent of parents as usual activities for their children to engage with on mobile devices. In the United States and in the United Kingdom, YouTube and Netflix were the most popular video apps for children to engage with.

Zach King’s "Magic Ride" was the most watched short-video on TikTok as of January 2025, with illusionist and actor Zack King amassing over 2.3 billion views. The Christmas video from makeup artist and influencer James Charles ranked second, with 1.7 billion views, while Zack King came back to claim the third place with his video "Unexpected Hiding Spots" at 1.1 billion views.

Comprehensive YouTube channel statistics for Anna McNulty Top Videos, featuring 2,370,000 subscribers and 1,846,661,323 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Sports category and is based in US. Track 460 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.

Seen the popularity of the YouTube platform among younger users and children, kids-themed YouTube channels are among the most popular types of content on the platform. As of March 2024, ChuChu TV Nursery Rhymes & Kids Songs was the most subscribed kids' content channel, with approximately 94.7 million subscribers. Spanish-language channel El Reino Infantil ranked second with approximately 67.5 million subscribers, while Masha and the Bear ranked third with 53.3 million subscribers. Kids on YouTube According to a survey of global parents conducted in September 2022, over half of the respondents reported that watching YouTube videos was a popular online activity their children chose to engage with. In the United States, children were using the YouTube app to watch content for over one hour daily on average in 2023. Children media consumption As of May 2022, software, audio, and video content were the most popular categories for global children to interact with online, with approximately 44 percent of younger users visiting and engaging with these content formats. Between 52 percent and 55 percent of children in India, Saudi Arabia, and South Africa were reported visiting software, audio, and video websites between 2020 and 2021.

Comprehensive YouTube channel statistics for Alexa Rivera Top Videos, featuring 811,000 subscribers and 187,769,117 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Entertainment category and is based in US. Track 341 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.

As of January 2025, the ranking of the most popular YouTube channels based on monthly views is dominated by music and children's content. Wiz Khalifa's Music channel was ranked first with a whopping six billion channel views, while Wow Kidz ranked second with over five billion video views in the last examined month. Indian music record channel T-Series -which ranked first continuously in 2021 and 2022, placed third with 2.72 billion video views. Most subscribed YouTube channels When looking at the most-subscribed YouTube channels: Indian music label T-Series was ranked first with 229 million channel subscribers. The video game commentator Felix Kjellberg, aka PewDiePie, ranked seventh, with roughly 111 million subscribers, after being surpassed by Jimmy Donaldson, aka MrBeast in November 2022. As of June 2022, PewDiePie was still the most subscribed gaming-content channel on YouTube, followed by Salvadorian YouTuber Fernanfloo with 45 million global subscribers. Creators' earnings MrBeast was the highest-earning YouTuber in 2021, with 54 million U.S. dollars. Ryan Kaji from Ryan's World was among the youngest content creators making the rankings of the highest-earning YouTubers in 2021, with an estimated revenue of 27 million U.S. dollars. Ryan’s channel was set up by his parents in March 2015, when the young content creator was three years old. MrBeast was also the leading content creator on YouTube based on Influence Media Value, while PewDiePie ranked third with an evaluation of around 3.91 million U.S. dollars.

The YouTube Thumbnail Dataset features a large collection of top-performing video thumbnails from over 90 YouTube channels. It includes metadata such as video IDs, views, likes, comments, and duration for AI and media analysis applications.

Student Video Interaction Dataset 🎥📊 Overview This dataset captures real-world student interactions with educational videos. It is designed to help analyze engagement levels, predict best-performing videos, and enhance AI-driven recommendation systems.

Dataset Features The dataset includes detailed metadata about each video and student engagement metrics:

Column Name Description Title Title of the video Duration in Seconds Length of the video in seconds Tags Keywords associated with the video content Topic ID Unique identifier for the topic Topic Name Name of the topic covered in the video Likes Number of likes the video received Views Total number of views Engagement Score between 1-10, indicating student interaction level Result Performance score between 50-100, representing video effectiveness Video Link URL to the video Use Cases & Applications 🚀 🔹 Educational Analytics: Identify the most engaging videos for different topics. 🔹 AI-Powered Recommendations: Train machine learning models to recommend the best videos to students. 🔹 Behavioral Insights: Understand student engagement patterns based on interaction data. 🔹 LSTM-Based Predictions: Use sequential modeling to predict future engagement trends.

Potential Machine Learning Tasks 🤖 ✔ Engagement Prediction – Predict how engaging a video will be based on past student interactions. ✔ Personalized Recommendations – Develop AI models to suggest relevant educational content. ✔ Trend Analysis – Identify which topics perform best over time. ✔ A/B Testing for Video Optimization – Compare different video formats to improve engagement.

Classify video clips with natural scenes of actions performed by people visible in the videos.

See the UCF101 Dataset web page: https://www.crcv.ucf.edu/data/UCF101.php#Results_on_UCF101

This example datasets consists of the 10 most numerous video from the UCF101 dataset. For the top 5 version, see: https://doi.org/10.5281/zenodo.7924745 .

Based on this code: https://keras.io/examples/vision/video_classification/ (needs to be updated, if has not yet been already; see the issue: https://github.com/keras-team/keras-io/issues/1342).

Testing if data can be downloaded from figshare with `wget`, see: https://github.com/mojaveazure/angsd-wrapper/issues/10

For generating the subset, see this notebook: https://colab.research.google.com/github/sayakpaul/Action-Recognition-in-TensorFlow/blob/main/Data_Preparation_UCF101.ipynb -- however, it also needs to be adjusted (if has not yet been already - then I will post a link to the notebook here or elsewhere, e.g., in the corrected notebook with Keras example).

I would like to thank Sayak Paul for contacting me about his example at Keras documentation being out of date.

Cite this dataset as:

Soomro, K., Zamir, A. R., & Shah, M. (2012). UCF101: A dataset of 101 human actions classes from videos in the wild. arXiv preprint arXiv:1212.0402. https://doi.org/10.48550/arXiv.1212.0402

To download the dataset via the command line, please use:

wget -q https://zenodo.org/record/7882861/files/ucf101_top10.tar.gz -O ucf101_top10.tar.gz
tar xf ucf101_top10.tar.gz