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{ "game": "XFORC3D: SNIPER CELL", "version": "1.0", "export_date": "2026-01-08T02:20:14.254Z", "player_stats": { "level": 9, "total_xp": 15843, "waves_completed": 3, "drones_destroyed": 22, "accuracy": 21 } }
{ "sessions": [ { "startTime": 1767838745977, "endTime": 1767838814254, "totalXP": 15843, "levelsGained": 8, "wavesCompleted": 2 } ], "shots": [ { "timestamp": 1767838746204, "type": "drone_spawn", "wave": 1, "level": 1, "drone_id": 63, ...
{ "level": 9, "xp": 519, "totalXP": 15843, "wave": 3, "droneKills": 5, "dronesDestroyedTotal": 22, "damage": 208, "stats": { "shotsFired": 207, "shotsHit": 44, "dronesDestroyed": 22, "totalDrones": 27, "accuracy": 21, "maxDrones": 5 } }
{ "XP_LOSS_RATE": 0.25, "max_drones_by_tier": { "1-10": "4-5 drones max", "11-20": "6 drones max", "21-30": "7 drones max", "31-40": "8 drones max", "41-50": "9 drones max", "51-99": "10 drones max" } }

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XFORC3D: SNIPER CELL - TRAINING DATA EXPORT

This dataset was created with SNIPER CELL by webXOS located in the /gym/ folder, download it to create your own datasets. Sniper cell is a first person shooter based gym that runs minimal in browsers. Users can play the "gym" to record and export training data as seen below.

Sniper Cell Game Data: 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 - webxos.netlify.app

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