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This data was scraped from https://romonitorstats.com/ using a Python script.
Rank: Rank of the game on the leaderboard, based on total current players.
Name: Name of the game on Roblox.
Active: How many active players were recorded as currently playing the game.
Visits: How many total visits (playthroughs) the game has.
Favourites: How many people favourited the game.
Likes: How many likes the game has received.
Dislikes: How many dislikes the game has received.
Rating: The like-to-dislike ratio of the game.
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ROBLOX player activity dataset from MMO Populations, combining monthly enhanced players and 30-day daily estimates generated from public signals.
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9,734 rows x 16 columns
You can implementation given in the GitHub to webscrape a current version. See the commit history to see other implementation. This dataset contains detailed information about 9,734 Roblox games, including their creators, popularity metrics, genres, and additional metadata. The data was web-scraped using C#, and you can find the full implementation along with commit history on GitHub (link below).
The data was collected through web scraping using C#. The implementation can be found on GitHub, where you can explore the commit history to see different iterations and improvements of the web scraper.
https://github.com/jansencruz23/roblox-webscraper-csharp
If you have any questions or suggestions, feel free to leave a comment! ๐
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For anyone who has watched Ready Player One, Roblox feels like the closest thing to a 0.01 version of that multi-layered, user generated video game platform. For those that havenโt watched the...
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This is a dataset of (currently the first 100) Roblox users. If you would like to help with the collection of this data, please let me know. You may find the source code for this scraper here: github.com/vracton/roblox-User-Scraper. Data is structured as follows.
[
{
"id": 1,
"exists": true,
"name": "@Roblox",
"displayName": "Roblox",
"about": "About Me...",
"pfpURL": "
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Explore key Roblox statistics, including user growth, game creation trends, engagement metrics, revenue data, and platform popularity!
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Here are a few use cases for this project:
Educational Tools: Develop interactive and engaging learning materials for children, helping them associate images of animals, objects, and numbers with their respective names, promoting early cognitive development.
Gaming and Augmented Reality: Create a scavenger hunt or mobile-based game that requires players to locate and identify the various roblox classes in their real-world surroundings or within a virtual environment.
Image Organization: Automatically categorize and organize a user's photo library based on the presence of different roblox classes in the images, making it easier for users to find and manage their collections.
Social Media Enhancements: Develop a social media platform feature that uses the computer vision model to automatically generate relevant tags or captions, making it easier for users to discover and share images related to various roblox classes.
Accessibility and Assistance: Integrate the computer vision model into assistive technologies to help visually impaired individuals identify the roblox classes within their surroundings, enabling them to better understand and navigate their environment.
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This dataset was created as an exploration of the Roblox APIs and for image use in a GAN to create connective avatar headshots and avatars for Roblox. This is also my first time creating a dataset for public use, mistakes were made and will be remedied in future publications!
This dataset includes the information of roughly 1000 unique Roblox accounts including their id, username, display_name, membership status, avatar, and avatar thumbnails. Much of the other data collected during this project has been removed due to inconsistency. Endpoints for getting this information are still available via the GitHub repository.
Shoutout to the Python Requests and Pandas team, and also whoever maintains the Roblox web APIs. This project would not have been possible without them.
This dataset was conceived to eventually create a GAN for generation of Roblox avatars. I thought it would be nice to bring the API requests full circle by creating my own API for random generation of images to be used within a Roblox game.
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TwitterAs of December 2024, gaming company Roblox Corporation reported that 20 percent of Roblox games users worldwide were aged from nine to 12 years. Additionally, 20 percent of Roblox games users were under the age of nine. Only 19 percent of Roblox audiences were aged 25 years and older. Roblox gamer demographics With more than four in ten Roblox gamers being 12 years old or younger, Roblox has managed to target a specific user demographic. In contrast, three-quarters of adult U.S. gamers aged 18 to 34 did not play Roblox games, and this share of non-usage only increased with age. Additionally, over half of Roblox users were male, and eight in ten of Roblox users signed up for the platform via mobile. Roblox engagement across the entire family In the fourth quarter of 2024, gamers aged 13 years and older generated 12 billion hours worth of engagement with Roblox games, compared to 6.6 billion hours by younger players. Among children in the United States, 21 percent of Roblox users spent more than ten hours per week on the gaming platform. Roblox games are also utilized as a family experience - among U.S. gamers who play Roblox and have kids who play Roblox, an October 2022 survey found that 27 percent of respondents spent six to ten hours per week playing with or watching their child play Roblox game experiences.
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## Overview
KiriX Roblox People Finder is a dataset for computer vision tasks - it contains Roblox Players annotations for 254 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
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Time-series player count data for the Roblox game Save The People.
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## Overview
Unbased Roblox Project is a dataset for object detection tasks - it contains People annotations for 654 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [MIT license](https://creativecommons.org/licenses/MIT).
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This dataset comprises user feedback data collected from 15 globally acclaimed mobile applications, spanning diverse categories. The included applications are among the most downloaded worldwide, providing a rich and varied source for analysis. The dataset is particularly suitable for Natural Language Processing (NLP) applications, such as text classification and topic modeling.
This dataset is open access for scientific research and non-commercial purposes. Users are required to acknowledge the authors' work and, in the case of scientific publication, cite the most appropriate reference:
1.Paper
M. H. Asnawi, A. A. Pravitasari, T. Herawan, and T. Hendrawati, "The Combination of Contextualized Topic Model and MPNet for User Feedback Topic Modeling," in IEEE Access, vol. 11, pp. 130272-130286, 2023, doi: https://doi.org/10.1109/ACCESS.2023.3332644
2.Dataset
Asnawi, M. H., Pravitasari, A. A., Herawan, T., & hendrawati, T. (2023). User Feedback Dataset from the Top 15 Downloaded Mobile Applications [Data set]. In The Combination of Contextualized Topic Model and MPNet for User Feedback Topic Modeling (1.0.0, Vol. 11, pp. 130272โ130286). Zenodo. https://doi.org/10.5281/zenodo.10204232
Researchers and analysts are encouraged to explore this dataset for insights into user sentiments, preferences, and trends across these top mobile applications. If you have any questions or need further information, feel free to contact the dataset authors.
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## Overview
Roblox Character is a dataset for object detection tasks - it contains Roblox Character annotations for 1,797 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
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https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F1842206%2F13fc9ab17f414e834b6433105a59e5d0%2Frobloc2.png?generation=1700379663488225&alt=media" alt="">
Based on their wikipedia page
Roblox (/หroสblษks/) is an online game platform and game creation system developed by Roblox Corporation that allows users to program games and play games created by other users. Created by David Baszucki and Erik Cassel in 2004 and released in 2006, the platform hosts user-created games of multiple genres coded in the programming language Lua. For most of Roblox's history, it was relatively small, both as a platform and as a company. Roblox began to grow rapidly in the second half of the 2010s, and this growth has been accelerated by the COVID-19 pandemic.
These reviews were extracted from its Google Store page.
This dataset should paint a good picture on what is the public's perception of the app over the years. Using this dataset, we can do the following
(AND MANY MORE!)
Images generated using Bing Image Generator
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TwitterThis dataset contains real-time user-reported outage data for Roblox, including service disruptions, connection issues, and availability issues where the service may be down.
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Twitterhttps://cdla.io/sharing-1-0/https://cdla.io/sharing-1-0/
Indonesian Chat Dataset, including around 10,702 meticulously edited chats among users of Roblox and Minecraft. Certain chats use conventional terminology, while others utilize colloquial expressions. Slang phrases emerged because younger gamers often incorporate them into their regular conversations. The author personally categorizes the chats under four classifications: neutral, violent, racist, and harassing.
Classification details: Neutral: no violent sentences, casual chat without any means to harm someone Violence: swearing sentences, threats, incitement to harm others, or associating people with some animal or creature Racist: discriminate against or demean people based on race, religion, ethnicity, or nationality, including slurs, hate speech, or promoting racial superiority Harassment: porn, sexual abuse words, body shaming, derogation
An example of the dataset's content and the preprocessing methodology is the sentence: โPada bisa diem ga sih, 4nj1n9 semua,โ which translates to โCan you shut up, all of you are dogs,โ where numbers substitute certain letters in the word 'dog,' categorized as 'violence.' The preprocessing procedure involves converting the phrase to lowercase, normalizing it by eliminating punctuation, and substituting some numerals with their nearest alphabetic equivalents, for as replacing the numeral 4 with 'a' and 1 with 'i'. The preprocessed sentence is: "pada bisa diem ga sih anjing semua."
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Dataset card
The Luau dataset is a collection of code fragments collected from the Roblox Luau Data Sharing program. Only experiences where creators gave us permission to contribute to the public Luau Dataset were used for producing this dataset.
Languages:
Lua, Luau
License:
MIT Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the โSoftwareโ), to deal in the Software withoutโฆ See the full description on the dataset page: https://huggingface.co/datasets/Roblox/luau_corpus.
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Time-series player count data for the Roblox game Robots VS Humans.
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Child-friendly online games retain significant potential for violence due to the user-generated content element inherent in the game, and parents often overlook this. Games frequently portray hyperbolic violence, including the depiction of blood and gore.
This Dataset contains of 2364 videos evenly divided between violence (1182 videos) and nonviolence (1182 videos). The content typically seen in child-friendly online games such as Roblox and Minecraft. Each video has a runtime of 4 seconds and has one specific act.
The dataset violence has four certain acts. They are: 1. Blood. Blood is seen emitted from the game avatar due to impacts from bare hands, melee weapons, or firearms. It also refers to a pool of blood or blood dispersed from gaming avatars. 2. Gore. In a game, the term "gore" refers to the dismemberment of an avatar's bodily parts caused by impactful actions. In a child-friendly online game, gore can exist with or without blood; therefore, we classify severed body parts from a game avatar as gore. 3. Fire. The usage of firearms, explosives, rocket launchers, flamethrowers, or any other incendiary weapon to inflict damage on other game avatars. This category also includes explosive or incendiary gaming avatars. 4. Melee. Melee refers to the physical confrontation or battle between game avatars, including unarmed combat or using melee weapons such as swords, clubs, axes, etc.
This Dataset is used for our paper: https://inass.org/wp-content/uploads/2024/10/2025022920-2.pdf
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This data was scraped from https://romonitorstats.com/ using a Python script.
Rank: Rank of the game on the leaderboard, based on total current players.
Name: Name of the game on Roblox.
Active: How many active players were recorded as currently playing the game.
Visits: How many total visits (playthroughs) the game has.
Favourites: How many people favourited the game.
Likes: How many likes the game has received.
Dislikes: How many dislikes the game has received.
Rating: The like-to-dislike ratio of the game.