Update README.md

README.md

@@ -2,16 +2,38 @@
 license: mit
 language:
 - ja
-pretty_name: Rakuda - Questions for Japanese models
+pretty_name: Rakuda - Questions for Japanese Models
 task_categories:
 - conversational
+- question-answering
 size_categories:
 - n<1K
+source_datasets:
+- original
 ---
 
+# Rakuda - Questions for Japanese models
+
+**Repository**: [https://github.com/yuzu-ai/japanese-llm-ranking](https://github.com/yuzu-ai/japanese-llm-ranking)
+
 This is a set of 40 questions in Japanese about Japanese-specific topics, designed to evaluate the Japanese capabilities of LLMs and chatbots.
 
-The questions span four categories: history, society, government, and geography. 
+The questions are evenly distributed between four categories: history, society, government, and geography. 
 Questions in the first three categories are open-ended, while the geography questions are more specific.
 
-Answers to these questions can be used to rank the Japanese abilities of models, in the same way the [vicuna-eval questions](https://lmsys.org/vicuna_eval/) are frequently used to measure the usefulness of models as assistants.
+Answers to these questions can be used to rank the Japanese abilities of models, in the same way the [vicuna-eval questions](https://lmsys.org/vicuna_eval/) are frequently used to measure the usefulness of models as assistants.
+
+## Usage
+
+```python
+from datasets import load_dataset
+dataset = load_dataset("yuzuai/rakuda-questions")
+print(dataset)
+
+# => DatasetDict({
+#       train: Dataset({
+#           features: ['category', 'question_id', 'text'],
+#           num_rows: 40
+#       })
+#    })
+```