datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
gaming-500-hours
Gaming Dataset (gaming-1) — 494.7 Hours
Native PC/console gameplay screen-recordings, organized by game. Each workflow
is one play session, trimmed to pure gameplay — login screens, launchers,
desktop, collection-app references, and any watching/streaming are removed.
In-game menus, lobbies, loading, and cutscenes are retained as part of the session.
Workflows: 776
Total gameplay: 494.7 hours
Distinct games: 168
Clip duration (min): median 24.0, p90 90.9, max 457.7
Platforms:… See the full description on the dataset page: https://huggingface.co/datasets/markov-ai/gaming-500-hours.gaming-500-hours
Gaming Dataset (gaming-1) — 494.7 Hours
Native PC/console gameplay screen-recordings, organized by game. Each workflow
is one play session, trimmed to pure gameplay — login screens, launchers,
desktop, collection-app references, and any watching/streaming are removed.
In-game menus, lobbies, loading, and cutscenes are retained as part of the session.
Workflows: 776
Total gameplay: 494.7 hours
Distinct games: 168
Clip duration (min): median 24.0, p90 90.9, max 457.7
Platforms:… See the full description on the dataset page: https://huggingface.co/datasets/WillowVoiceAI/gaming-500-hours.gaming-500-hours
Gaming Dataset (gaming-1) — 494.7 Hours
Native PC/console gameplay screen-recordings, organized by game. Each workflow
is one play session, trimmed to pure gameplay — login screens, launchers,
desktop, collection-app references, and any watching/streaming are removed.
In-game menus, lobbies, loading, and cutscenes are retained as part of the session.
Workflows: 776
Total gameplay: 494.7 hours
Distinct games: 168
Clip duration (min): median 24.0, p90 90.9, max 457.7
Platforms:… See the full description on the dataset page: https://huggingface.co/datasets/Naya2004/gaming-500-hours.gaming-500-hours
Gaming Dataset (gaming-1) — 494.7 Hours
Native PC/console gameplay screen-recordings, organized by game. Each workflow
is one play session, trimmed to pure gameplay — login screens, launchers,
desktop, collection-app references, and any watching/streaming are removed.
In-game menus, lobbies, loading, and cutscenes are retained as part of the session.
Workflows: 776
Total gameplay: 494.7 hours
Distinct games: 168
Clip duration (min): median 24.0, p90 90.9, max 457.7
Platforms:… See the full description on the dataset page: https://huggingface.co/datasets/ApertureQA/gaming-500-hours.gaming-500-hours
Gaming Dataset (gaming-1) — 494.7 Hours
Native PC/console gameplay screen-recordings, organized by game. Each workflow
is one play session, trimmed to pure gameplay — login screens, launchers,
desktop, collection-app references, and any watching/streaming are removed.
In-game menus, lobbies, loading, and cutscenes are retained as part of the session.
Workflows: 776
Total gameplay: 494.7 hours
Distinct games: 168
Clip duration (min): median 24.0, p90 90.9, max 457.7
Platforms:… See the full description on the dataset page: https://huggingface.co/datasets/xsghh/gaming-500-hours.gaming-input-review-100-media-20260910100 Gaming input-only preview clips, each 15 seconds. No visual filtering or semantic action labeling was performed for this sample. The sample is stratified by game and includes 30 GTA V clips. Use samples.jsonl for source intervals, checksums and input timing. Video paths are relative to this repo.
Companion review: https://huggingface.co/spaces/mikusama99/sunain-gaming-review-200-20260910
gaming-500-hours
Gaming Dataset (gaming-1) — 494.7 Hours
Native PC/console gameplay screen-recordings, organized by game. Each workflow
is one play session, trimmed to pure gameplay — login screens, launchers,
desktop, collection-app references, and any watching/streaming are removed.
In-game menus, lobbies, loading, and cutscenes are retained as part of the session.
Workflows: 776
Total gameplay: 494.7 hours
Distinct games: 168
Clip duration (min): median 24.0, p90 90.9, max 457.7
Platforms:… See the full description on the dataset page: https://huggingface.co/datasets/manrajs/gaming-500-hours.gaming-telemetry
🎮 Gaming Telemetry
High-frequency bare-metal GPU/CPU telemetry captured while playing games at
maximum settings — DLSS 4.0, path tracing, the works — on an NVIDIA RTX 5080
workstation. Collected for neuromorphic / spiking-neural-network research: a
game session turns out to be a far richer stress instrument than crypto mining
or sync-node workloads, with genuine idle → ramp → sustained-load → recovery
dynamics, real wall-clock timestamps, and the NVML throttle bitmask.
This is… See the full description on the dataset page: https://huggingface.co/datasets/rmems/gaming-telemetry.mental-health-gaming-dataset
Mental Health Gaming Behavior Dataset
Synthetic dataset of gaming behavior and mental health indicators used to predict depression_score (0–10) through model chaining.
Tugas 4: Modeling Experiments — Kelompok 3
Dataset Summary
Size: 968,287 rows × 39 columns
Source: Kaggle (synthetic data)
File: gaming_mental_health.csv
Target: depression_score (0–10, continuous)
Disclaimer
This is a synthetic dataset generated for educational purposes. It does not… See the full description on the dataset page: https://huggingface.co/datasets/adeputr4/mental-health-gaming-dataset.cqadupstack-gaming-pl-qrelsPart of BEIR-PL: Zero Shot Information Retrieval Benchmark for the Polish Language.
Link to arxiv: https://arxiv.org/pdf/2305.19840.pdf
Contact: konrad.wojtasik@pwr.edu.pl
gaming-and-mental-health-datasetgaming-ratings
Gaming Ratings Database
19,189 games with IGDB ratings, release dates, genres, platforms, and developers.
Source
DropThe.org — Data platform tracking 50K+ games.
Analysis
50 Highest-Rated Games of All Time
Studio Track Records
Links
DropThe.org
Gaming Statistics
Methodology
gaming_gpu_dataset_3000GamingSessionAnalysis
GamingSessionAnalysis
tags: gaming, gameplay patterns, user retention
Note: This is an AI-generated dataset so its content may be inaccurate or false
Dataset Description:
The 'GamingSessionAnalysis' dataset focuses on analyzing user behavior during gaming sessions. It aims to provide insights into gameplay patterns and user retention metrics. The dataset is structured to help ML practitioners understand how different factors contribute to user engagement and loyalty. The CSV… See the full description on the dataset page: https://huggingface.co/datasets/infinite-dataset-hub/GamingSessionAnalysis.gaming-500-hours
Gaming Dataset (gaming-1) — 494.7 Hours
Native PC/console gameplay screen-recordings, organized by game. Each workflow
is one play session, trimmed to pure gameplay — login screens, launchers,
desktop, collection-app references, and any watching/streaming are removed.
In-game menus, lobbies, loading, and cutscenes are retained as part of the session.
Workflows: 776
Total gameplay: 494.7 hours
Distinct games: 168
Clip duration (min): median 24.0, p90 90.9, max 457.7
Platforms:… See the full description on the dataset page: https://huggingface.co/datasets/saphjjjj/gaming-500-hours.mock-scene79-gaming2-design2
Mock Scene79 Gaming2 Design-2 Full Release
This dataset is the full Design-2 release for scene79.gaming2. The important distinction is:
the canonical RGB + depth + camera-pose universe is the full raw 753-frame scene
the official segmentation-style annotations only exist for a verified 55-frame subset
nvs is currently a scaffold config with zero rows because explicit source-target view groupings are not defined safely in the raw data
The goal of this release is to keep the repo… See the full description on the dataset page: https://huggingface.co/datasets/Narendhiranv04/mock-scene79-gaming2-design2.