README.md

# Muk-Jji-Bba Dataset (SquidGame Series)

**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%; /* 표 너비를 60%로 설정 */
    font-size: 18px; /* 표의 글자 크기를 12px로 설정 */
    margin-left: 0;
    margin-right: auto;
  }
  th, td {
    padding: 8px; /* 셀 내부 패딩 설정 */
    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>0.840</td>
    <td>0.843</td>
  </tr>
</table>

Models with fewer than 12 billion parameters were used due to GPU limitations. 😂



## 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!

(Evaluation code will be uploaded soon.)