---
license: mit
tags:
- reinforcement-learning
- chess
- agent
- code
- tabular-regression
- tabular-classification
- text-classification
- text-generation
task_categories:
- reinforcement-learning
- tabular-classification
- text-classification
- text-generation
---

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<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: 6px;
        line-height: 1.2;
        margin: 0;
        overflow-x: auto;
        color: #00FF00;
    ">
          _______  ______            _______  _______    _______           _______  _______  _______    _______  _       
|\     /|(  ____ \(  ___ \ |\     /|(  ___  )(  ____ \  (  ____ \|\     /|(  ____ \(  ____ \(  ____ \  (  ____ )( \      
| )   ( || (    \/| (   ) )( \   / )| (   ) || (    \/  | (    \/| )   ( || (    \/| (    \/| (    \/  | (    )|| (      
| | _ | || (__    | (__/ /  \ (_) / | |   | || (_____   | |      | (___) || (__    | (_____ | (_____   | (____)|| |      
| |( )| ||  __)   |  __ (    ) _ (  | |   | |(_____  )  | |      |  ___  ||  __)   (_____  )(_____  )  |     __)| |      
| || || || (      | (  \ \  / ( ) \ | |   | |      ) |  | |      | (   ) || (            ) |      ) |  | (\ (   | |      
| () () || (____/\| )___) )( /   \ )| (___) |/\____) |  | (____/\| )   ( || (____/\/\____) |/\____) |  | ) \ \__| (____/\
(_______)(_______/|/ \___/ |/     \|(_______)\_______)  (_______/|/     \|(_______/\_______)\_______)  |/   \__/(_______/
                                                                                                                         
    
</div>


# Chess RL Training Export

This dataset was created using the 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. Download it to train your own similar datasets.

This dataset is for testing and *UNDER DEVELOPMENT* 

## Export Information

- Export Date: 2026-01-02T22:48:02.105Z
- Total Training Games: 0
- Total Moves: 11
- Training Time: 00:00:12

## 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
- Game result and metadata
- 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.)
- Training statistics (wins, losses, draws)
- Model metadata

### 4. green_agent_model.json

Green Agent (Value Network) configuration and statistics:
- Neural network architecture
- Hyperparameters
- Training statistics
- Model metadata

### 5. training_statistics.json

Overall training summary and statistics including:
- Training duration
- Win rates for both agents
- System information
- Export metadata

## Training System

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
- Import into other machine learning frameworks
- 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