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@@ -15,12 +15,14 @@ tags:
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  size_categories:
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  - 10K<n<100K
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  configs:
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- - config_name: JA
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- data_files: "data/train_ja.jsonl"
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- - config_name: EN
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- data_files: "data/train_en.jsonl"
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- - config_name: mixed
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- data_files: "data/train_mixed.jsonl"
 
 
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  ---
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  # KokushiMD-10: Benchmark for Evaluating Large Language Models on Ten Japanese National Healthcare Licensing Examinations
@@ -39,7 +41,23 @@ The dataset is available in multiple splits:
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  - **EN split**: English translated questions only
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  - **mixed split**: Both Japanese and English questions combined
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- *The `data/train.jsonl` file and the data studio table is just for showcasing the data, please always use the formal data in the `exams` and `CoT` folders. You can load specific language versions using the config parameter: `load_dataset("humanalysis-square/KokushiMD-10", "JA")`, `load_dataset("humanalysis-square/KokushiMD-10", "EN")`, or `load_dataset("humanalysis-square/KokushiMD-10", "mixed")`.*
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Key Features
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  size_categories:
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  - 10K<n<100K
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  configs:
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+ - config_name: default
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+ data_files:
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+ - split: JA
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+ path: "data/train_ja.jsonl"
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+ - split: EN
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+ path: "data/train_en.jsonl"
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+ - split: mixed
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+ path: "data/train_mixed.jsonl"
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  ---
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  # KokushiMD-10: Benchmark for Evaluating Large Language Models on Ten Japanese National Healthcare Licensing Examinations
 
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  - **EN split**: English translated questions only
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  - **mixed split**: Both Japanese and English questions combined
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+ You can load specific language splits using:
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+ ```python
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+ from datasets import load_dataset
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+
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+ # Load Japanese questions only
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+ dataset_ja = load_dataset("humanalysis-square/KokushiMD-10", split="JA")
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+
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+ # Load English questions only
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+ dataset_en = load_dataset("humanalysis-square/KokushiMD-10", split="EN")
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+
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+ # Load both languages mixed
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+ dataset_mixed = load_dataset("humanalysis-square/KokushiMD-10", split="mixed")
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+
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+ # Load all splits
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+ dataset = load_dataset("humanalysis-square/KokushiMD-10")
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+ # Access individual splits: dataset["JA"], dataset["EN"], dataset["mixed"]
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+ ```
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  ## Key Features
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