Update README.md

README.md

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 # Chess RL Training Export
-This dataset was created using synthetic AI vs AI training app found in /generator/. The app simulates games of chess between 2 web workers in
-a front-end page to train RL datasets. This dataset is for testing and *UNDER DEVELOPMENT* as we attempt to enhance and make more datasets using this app.
+
+This dataset was created using synthetic AI vs AI training app found in /generator/. The app simulates games of chess between 
+2 web workers ina front-end page to train RL datasets. 
+
+This dataset is for testing and *UNDER DEVELOPMENT* as we attempt to enhance and make more datasets using this app.
 
 ## Export Information
+
 - Export Date: 2026-01-02T22:48:02.105Z
 - Total Training Games: 0
 - Total Moves: 11
@@ -58,6 +62,7 @@ a front-end page to train RL datasets. This dataset is for testing and *UNDER DE
 ## Files Included
 
 ### 1. training_games.json
+
 Complete dataset of all chess games played during training. Each game includes:
 - Full PGN notation
 - Move-by-move records
@@ -65,9 +70,11 @@ Complete dataset of all chess games played during training. Each game includes:
 - Agent parameters for each game
 
 ### 2. training_games.csv
+
 Same data as JSON but in CSV format for easy import into spreadsheets or databases.
 
 ### 3. black_agent_model.json
+
 Black Agent (Policy Network) configuration and statistics:
 - Neural network architecture
 - Hyperparameters (learning rate, exploration rate, etc.)
@@ -75,6 +82,7 @@ Black Agent (Policy Network) configuration and statistics:
 - Model metadata
 
 ### 4. green_agent_model.json
+
 Green Agent (Value Network) configuration and statistics:
 - Neural network architecture
 - Hyperparameters
@@ -82,6 +90,7 @@ Green Agent (Value Network) configuration and statistics:
 - Model metadata
 
 ### 5. training_statistics.json
+
 Overall training summary and statistics including:
 - Training duration
 - Win rates for both agents
@@ -89,9 +98,11 @@ Overall training summary and statistics including:
 - Export metadata
 
 ## Training System
-Generated by ANN Chess RL Trainer v3.0 - A web-based reinforcement learning system for chess AI development.
+
+Generated by ANN Chess RL Trainer v3.0 by webXOS - A web-based reinforcement learning system for chess AI development.
 
 ## Usage
+
 These files can be used to:
 - Continue training from this point
 - Analyze the learning progress
@@ -99,6 +110,7 @@ These files can be used to:
 - Share with the research community
 
 ## Notes
+
 - All data is in standard JSON/CSV formats
 - Compatible with Hugging Face datasets
 - Can be compressed with GZIP, ZSTD, BZ2, LZ4, or LZMA for upload