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@@ -33,6 +33,10 @@ dataset_info:
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  num_examples: 936
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  download_size: 1076028
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  dataset_size: 4220807
 
 
 
 
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  ---
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  # Dataset Card for "CSAT-QA"
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@@ -59,15 +63,16 @@ and for evaluation check out [LM-Eval-Harness](https://github.com/EleutherAI/lm-
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  ## Evaluation Results
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- | Category | Polyglot-Ko-12.8B | GPT-3.5-16k | GPT-4 | Human_Performance |
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- |----------|----------------|-------------|-----------|-------------------|
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- | WR | 0.09 | 9.09 | 45.45 | **54.0** |
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- | GR | 0.00 | 20.00 | 32.00 | **45.41** |
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- | LI | 21.62 | 35.14 | **59.46** | 54.38 |
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- | RCH | 17.14 | 37.14 | **62.86** | 48.7 |
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- | RCS | 10.81 | 27.03 | **64.86** | 39.93 |
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- | RCSS | 11.9 | 30.95 | **71.43** | 44.54 |
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- | Average | 10.26 | 26.56 | **56.01** | 47.8 |
 
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  ## How to Use
 
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  num_examples: 936
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  download_size: 1076028
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  dataset_size: 4220807
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+ task_categories:
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+ - multiple-choice
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+ language:
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+ - ko
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  ---
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  # Dataset Card for "CSAT-QA"
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  ## Evaluation Results
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+
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+ | **Models** | **GR** | **LI** | **RCH** | **RCS** | **RCSS** | **WR** | **Average** |
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+ |:-----------------:|:---------:|:---------:|:---------:|:---------:|:---------:|:---------:|:-----------:|
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+ | polyglot-ko-12.8B | 16.0 | 10.81 | 8.57 | 32.43 | 14.29 | 0.00 | 13.68 |
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+ | gpt-3.5-wo-token | 16.0 | 32.43 | 42.86 | 18.92 | 35.71 | 0.00 | 24.32 |
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+ | gpt-3.5-w-token | 16.0 | 35.14 | 42.86 | 18.92 | 35.71 | 9.09 | 26.29 |
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+ | gpt-4-wo-token | 40.0 | 54.05 | **68.57** | **59.46** | **69.05** | 36.36 | **54.58** |
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+ | gpt-4-w-token | 36.0 | **56.76** | **68.57** | **59.46** | **69.05** | 36.36 | 54.37 |
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+ | Human Performance | **45.41** | 54.38 | 48.7 | 39.93 | 44.54 | **54.0** | 47.83 |
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+
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  ## How to Use