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---
license: mit
language:
- ja
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 are distributed between four categories: history (9), society (11), government (10), and geography (10).
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.
## 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
# })
# })
```
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