|  | |
| # Muk-Jji-Bba Dataset - SquidGame Series 01 | |
| **Note**: Please do not use this dataset for training purposes. | |
| ## Overview | |
| The "Muk-Jji-Bba" dataset is the first in the SquidGame series, designed to evaluate whether models can understand human behavior. This dataset specifically focuses on the game of Muk-Jji-Bba, a variation of Rock-Paper-Scissors widely played in Korea. | |
| ### How Muk-Jji-Bba Works: | |
| - The attacker tries to match their gesture with the defender’s to win the game. | |
| - If both players show the same gesture in the next round, the attacker wins. | |
| - If the attacker’s next gesture loses to the defender’s, the roles switch, and the defender becomes the new attacker. | |
| - If the attacker’s next gesture beats the defender’s, the attacker keeps their role and the game continues. | |
| The dataset includes 4 rounds per situation. If there is no winner in the final round, the result is a "Tie." The model must choose between Player A (1), Player B (2), or Tie (3). | |
| The labels are evenly distributed across the three possible outcomes. | |
| <style> | |
| table { | |
| width: 60%; | |
| font-size: 18px; | |
| margin-left: 0; | |
| margin-right: auto; | |
| } | |
| th, td { | |
| padding: 8px; | |
| text-align: center; | |
| } | |
| </style> | |
| ## Model Performance | |
| <table> | |
| <tr> | |
| <th>Model</th> | |
| <th>Acc</th> | |
| <th>F1</th> | |
| </tr> | |
| <tr> | |
| <td>Llama3.1-8b</td> | |
| <td>0.808</td> | |
| <td>0.812</td> | |
| </tr> | |
| <tr> | |
| <td>Llama3-8b</td> | |
| <td>0.775</td> | |
| <td>0.778</td> | |
| </tr> | |
| <tr> | |
| <td>Solar-10.7b</td> | |
| <td>0.754</td> | |
| <td>0.759</td> | |
| </tr> | |
| <tr> | |
| <td>Qwen-8b</td> | |
| <td>0.783</td> | |
| <td>0.788</td> | |
| </tr> | |
| <tr> | |
| <td><strong>Yi-chat-9b (TOP)</strong></td> | |
| <td><strong>0.840</strong></td> | |
| <td><strong>0.843</strong></td> | |
| </tr> | |
| </table> | |
| Models with fewer than 12 billion parameters were used due to GPU limitations. 😂 | |
| (Evaluation code will be uploaded soon.) | |
| ## About the Labels | |
| The labels in the dataset represent the correct outcome for each round: | |
| - Player A wins (1) | |
| - Player B wins (2) | |
| - Tie (3) | |
| The labels are evenly distributed among the three outcomes to ensure balance. | |
| ## Stay Tuned | |
| Look forward to the next series in the SquidGame dataset! | |