metadata
license: mit
task_categories:
- reinforcement-learning
- robotics
- tabular-classification
- time-series-forecasting
tags:
- timeseries
- tabular
- robotics
- RL
- RLHF
- reinforcement-learning
- experience-replay
- state-action-reward
- gaming
- gym
- video-games
- games
_____ _ _ ___________ ___________ _____ _____ _ _ / ___| \ | |_ _| ___ \ ___| ___ \ / __ \| ___| | | | \ `--.| \| | | | | |_/ / |__ | |_/ / | / \/| |__ | | | | `--. \ . ` | | | | __/| __|| / | | | __|| | | | /\__/ / |\ |_| |_| | | |___| |\ \ | \__/\| |___| |____| |____ \____/\_| \_/\___/\_| \____/\_| \_| \____/\____/\_____/\_____/
XFORC3D: SNIPER CELL - TRAINING DATA EXPORT
This dataset was created with SNIPER CELL by webXOS located in the /gym/ folder
Exported: 2026-01-08T02:20:14.260Z Player Level: 9 Total XP: 15843 Waves Completed: 3 Drones Destroyed: 22 Accuracy: 21%
FILES INCLUDED:
- xforc3d_training_data.json - Complete dataset in JSON format
- shots_data.csv - All shots fired by player and drones
- hits_data.csv - All hits and drone destructions
- level_ups_data.csv - Level progression data
- waves_data.csv - Wave completion data
DATA STRUCTURE:
- Each action is timestamped for time-series analysis
- XP rewards and penalties are recorded
- Position data for spatial analysis
- Level-based difficulty scaling included
TIERED DRONE SYSTEM:
Level 1-10: 4-5 drones max Level 11-20: 6 drones max Level 21-30: 7 drones max Level 31-40: 8 drones max Level 41-50: 9 drones max Level 51-99: 10 drones max
USE FOR TRAINING:
This data can be used to train reinforcement learning models for drone combat AI, player behavior prediction, or difficulty balancing algorithms.
COMPRESSION:
This ZIP file supports GZIP, ZSTD, BZ2, LZ4, and LZMA decompression.
DEVELOPER
webXOS