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Datasets:
webxos
/
snipercell_RL

Tasks:
Reinforcement Learning
Robotics
Tabular Classification
Modalities:
Text
Time-series
Tabular
Formats:
json
Size:
< 1K
Tags:
timeseries
tabular
robotics
RL
RLHF
reinforcement-learning
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
xet
Community
snipercell_RL
File size: 3,025 Bytes 
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---
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
---

[![Website](https://img.shields.io/badge/webXOS.netlify.app-Explore_Apps-00d4aa?style=for-the-badge&logo=netlify&logoColor=white)](https://webxos.netlify.app)
[![GitHub](https://img.shields.io/badge/GitHub-webxos/webxos-181717?style=for-the-badge&logo=github&logoColor=white)](https://github.com/webxos/webxos)
[![Hugging Face](https://img.shields.io/badge/Hugging_Face-🤗_webxos-FFD21E?style=for-the-badge&logo=huggingface&logoColor=white)](https://huggingface.co/webxos)
[![Follow on X](https://img.shields.io/badge/Follow_@webxos-1DA1F2?style=for-the-badge&logo=x&logoColor=white)](https://x.com/webxos)

<div style="
    background: #00FF00;
    border-left: 4px solid #00FF00;
    padding: 1.5rem;
    margin: 2rem 0;
    font-family: 'Fira Code', 'Courier New', monospace;
    color: #00FF00;
    border-radius: 0 8px 8px 0;
">
    <pre style="
        font-size: 8px;
        line-height: 1.2;
        margin: 0;
        overflow-x: auto;
        color: #00FF00;
    ">
 _____ _   _ ___________ ___________   _____  _____ _      _     
/  ___| \ | |_   _| ___ \  ___| ___ \ /  __ \|  ___| |    | |    
\ `--.|  \| | | | | |_/ / |__ | |_/ / | /  \/| |__ | |    | |    
 `--. \ . ` | | | |  __/|  __||    /  | |    |  __|| |    | |    
/\__/ / |\  |_| |_| |   | |___| |\ \  | \__/\| |___| |____| |____
\____/\_| \_/\___/\_|   \____/\_| \_|  \____/\____/\_____/\_____/

</div>
                                                                 
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