README.md

---
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
---

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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:
---------------
1. xforc3d_training_data.json - Complete dataset in JSON format
2. shots_data.csv - All shots fired by player and drones
3. hits_data.csv - All hits and drone destructions
4. level_ups_data.csv - Level progression data
5. 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