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Update README.md

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- ---
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- dataset_info:
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- features:
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- - name: agents
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- sequence: string
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- - name: label
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- dtype: string
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- - name: situation
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- dtype: string
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- splits:
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- - name: train
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- num_bytes: 353800
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- num_examples: 1200
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- download_size: 99752
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- dataset_size: 353800
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- configs:
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- - config_name: default
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- data_files:
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- - split: train
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- path: data/train-*
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- ---
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  # Muk-Jji-Bba Dataset (SquidGame Series)
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@@ -48,6 +27,29 @@ The labels are evenly distributed across the three possible outcomes.
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  | Qwen | 0.7833 | 0.7877 |
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  | **Yi-9b-chat (top)** | 0.8395 | 0.8426 |
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  ## About the Labels
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  The labels in the dataset represent the correct outcome for each round:
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  - Player A wins (1)
@@ -59,5 +61,5 @@ The labels are evenly distributed among the three outcomes to ensure balance.
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  ## Stay Tuned
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  Look forward to the next series in the SquidGame dataset!
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- (Evaluation code will be updated soon.)
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  # Muk-Jji-Bba Dataset (SquidGame Series)
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  | Qwen | 0.7833 | 0.7877 |
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  | **Yi-9b-chat (top)** | 0.8395 | 0.8426 |
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+ ---
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+ dataset_info:
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+ features:
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+ - name: agents
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+ sequence: string
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+ - name: label
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+ dtype: string
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+ - name: situation
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+ dtype: string
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+ splits:
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+ - name: train
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+ num_bytes: 353800
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+ num_examples: 1200
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+ download_size: 99752
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+ dataset_size: 353800
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: train
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+ path: data/train-*
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+ ---
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+
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+
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  ## About the Labels
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  The labels in the dataset represent the correct outcome for each round:
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  - Player A wins (1)
 
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  ## Stay Tuned
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  Look forward to the next series in the SquidGame dataset!
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+ (Evaluation code will be uploaded soon.)
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