Update README.md

README.md

@@ -20,4 +20,44 @@ configs:
         path:
           - sakuraeval/en.parquet
 ---
+# SakuraEval
 
+## Dataset Description
+SakuraEval is a Japan-specific code generation benchmark dataset. 
+It is designed independently and does not rely on translation from English benchmarks such as HumanEval or JHumanEval.
+
+## Dataset Structure
+```python
+from datasets import load_dataset
+load_dataset("kogi-jwu/sakuraeval", "ja")
+DatasetDict({
+    test: Dataset({
+        features: ['task_id', 'category', 'prompt', 'canonical_solution', 'test', 'entry_point'],
+        num_rows: 164
+    })
+})
+```
+
+## Data Fields
+- task_id: Identifier for the data sample.
+- category: Task category.  
+- prompt: Input for the model, including the function header and docstring that describes the task.
+- canonical_solution: Solution to the problem presented in the prompt.
+- test: Function(s) to test the generated code for correctness.
+- entry_point: Entry point function to begin testing.
+
+### Category Breakdown
+| Category                         | Number of Tasks |
+|----------------------------------|-----------------|
+| 文化（Culture）                   | 34              |
+| 風習（Customs）                   | 27              |
+| 日本地理（Japanese Geography）     | 10              |
+| 公民・法律（Law and Civics）       | 11              |
+| 数学・科学（Math and Science）     | 21              |
+| 単位変換（Unit Conversion）        | 11              |
+| 日本語処理（Japanese Language）     | 43              |
+| その他（Other）                    | 7               |
+
+
+## Languages
+The dataset contains coding problems in 2 natural languages: English and Japanese.