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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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| 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)
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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
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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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## 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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