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Update README.md (#3)

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Co-authored-by: Hailey LIM <[email protected]>

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  ## Training Dataset
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- The model was trained on approximately 100k high-quality Korean instruction examples. The dataset was curated to cover a wide range of Korean language contexts and tasks, with a focus on aligning model outputs with user intent and natural language generation, and is currently undisclosed.
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  ## Evaluation
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  | | **davidkim205<br>Hunminai<br>-1.0-27b** | google<br>gemma-3<br>-27b-it | unsloth<br>gemma-3<br>-27b-it | google<br>gemma-2<br>-27b-it |
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  |---------|----------------------------------------:|-----------------------------:|------------------------------:|-----------------------------:|
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- | Avg. | **8.53** | 8.31 | 8.03 | 7.49 |
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  | bench | 8.26 | 8.06 | **8.27** | 7.59 |
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  | ged | **9.19** | 9.02 | 9.03 | 8.38 |
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  | ged:E | 9.86 | 9.86 | **9.93** | 9.51 |
@@ -105,5 +104,5 @@ The table below contains a description of the Korean LLM evaluation benchmark da
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  | ged:H | **9.60** | 9.52 | 9.52 | 9.32 |
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  | gpqa | **4.55** | 3.69 | 3.38 | 3.54 |
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  | math500 | **8.56** | 8.38 | 6.26 | 5.00 |
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- | ifeval | | | **8.10** | |
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  ## Training Dataset
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+ The model was trained on high-quality Korean instructional data. The dataset was curated to cover a broad range of Korean language contexts and task types, with a focus on aligning model outputs with user intent and natural language generation. It is currently not publicly available.
 
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  ## Evaluation
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  | | **davidkim205<br>Hunminai<br>-1.0-27b** | google<br>gemma-3<br>-27b-it | unsloth<br>gemma-3<br>-27b-it | google<br>gemma-2<br>-27b-it |
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  |---------|----------------------------------------:|-----------------------------:|------------------------------:|-----------------------------:|
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+ | Avg. | **8.51** | 8.32 | 8.03 | 7.49 |
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  | bench | 8.26 | 8.06 | **8.27** | 7.59 |
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  | ged | **9.19** | 9.02 | 9.03 | 8.38 |
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  | ged:E | 9.86 | 9.86 | **9.93** | 9.51 |
 
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  | ged:H | **9.60** | 9.52 | 9.52 | 9.32 |
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  | gpqa | **4.55** | 3.69 | 3.38 | 3.54 |
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  | math500 | **8.56** | 8.38 | 6.26 | 5.00 |
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+ | ifeval | **8.41** | 8.37 | 8.10 | |
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