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Game Feedback Discord Dataset
Entertainment & Media Consumption
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset captures suggestions for improving a game, sourced from a Discord server where members can submit their ideas. Users have the ability to upvote these suggestions, and any suggestion accumulating 35 or more upvotes is forwarded to the game's developers. The primary purpose of compiling this dataset was for natural language processing (NLP) practice, but it also offers opportunities for applying statistical analysis to understand factors that contribute to a suggestion being sent to the developers. The dataset provides valuable insights into community feedback and engagement.
Columns
- SuggestionDate: The date on which the suggestion was originally made.
- SuggestionText: The full text content of the suggestion submitted by a Discord server member.
- CharCount: A numerical count of the characters within the 'SuggestionText' field.
- SuggestionCategory: A categorisation for the suggestion; further details on these categories would typically be found in a more expansive dataset description.
- Upvotes: The total number of upvotes received by the suggestion from other members of the Discord server.
- ReportedToDevs: A boolean indicator specifying whether the suggestion was reported to the game development team.
Distribution
The dataset is typically provided in a tabular format, such as a CSV file. It contains a total of 158 individual records or rows, each representing a unique game improvement suggestion. The data includes suggestion dates ranging from 1st April 2022 to 26th April 2022. The character count for suggestions varies widely, from 1 to 1831 characters. Categories include 'Feature' (53%), 'Item' (32%), and 'Other' (16%). A small percentage of suggestions (16%) were reported to the developers.
Usage
This dataset is ideally suited for various analytical tasks. It can be used for natural language processing (NLP) exercises, such as sentiment analysis of suggestions, topic modelling, or text summarisation. Additionally, it is suitable for statistical analysis to identify correlations between suggestion characteristics (e.g., length, category, keywords) and their likelihood of receiving upvotes or being reported to the developers. Game developers, community managers, and data analysts can utilise this data to gain actionable insights into player feedback and prioritise development efforts.
Coverage
The dataset's geographic coverage is global, as the Discord server from which suggestions were drawn is accessible worldwide. The time range for the suggestions captured spans from 1st April 2022 to 26th April 2022. The demographic scope includes any member of the specific Discord server who submitted a suggestion. There are no specific notes on data availability limitations for particular groups or years within the provided information.
License
CC0
Who Can Use It
- Data Scientists & Machine Learning Engineers: For training NLP models on user-generated content or developing predictive models for suggestion virality.
- Game Developers: To understand community sentiment, identify popular feature requests, and prioritise game improvements based on player feedback.
- Community Managers: To analyse engagement patterns on their Discord servers and improve feedback collection processes.
- Data Analysts: For performing statistical tests to determine which types of suggestions have a higher probability of being adopted or forwarded.
- Students & Researchers: For academic projects involving text analysis, social media data, or community engagement studies.
Dataset Name Suggestions
- Grounded Suggestions via Discord Server
- Game Feedback Discord Dataset
- Player Suggestion Analysis
- Discord Game Improvement Data
Attributes
Original Data Source: Grounded Suggestions via Discord Server
QUALITY