archive.zip
The Gaming and Mental Health Dataset is a large-scale synthetic behavioral dataset containing 10 million records and 40 features representing individuals’ gaming habits, psychological health indicators, social environment, lifestyle behaviors, and physical health metrics. Each row corresponds to a single participant and includes variables such as gaming duration, addiction level, stress, anxiety, depression, sleep patterns, social interaction, productivity, and demographic information.
The dataset is designed for machine learning research, behavioral analytics, mental health prediction, and large-scale benchmarking, enabling studies on the relationship between gaming behavior and mental well-being. The file is provided in CSV format and supports supervised learning, clustering, causal modeling, and predictive analytics tasks.
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Additional Information
| Field | Value |
|---|---|
| Data last updated | March 5, 2026 |
| Metadata last updated | March 5, 2026 |
| Created | March 5, 2026 |
| Format | ZIP |
| License | No License Provided |
| Datastore active | False |
| Has views | False |
| Id | 6822f005-1f2c-4916-9b46-d95d170e722a |
| Mimetype | application/zip |
| Package id | 8b9e8784-f590-4bfb-ad54-88ebafcfbda0 |
| Position | 0 |
| Size | 66.3 MiB |
| State | active |
| Url type | upload |