Repository: 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 capabilities of AI Assistants in Japanese.
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 are frequently used to measure the usefulness of assistants.
from datasets import load_dataset
dataset = load_dataset("yuzuai/rakuda-questions")
print(dataset)
# => DatasetDict({
# train: Dataset({
# features: ['category', 'question_id', 'text'],
# num_rows: 40
# })
# })
9 commits
Repository: 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 capabilities of AI Assistants in Japanese.
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 are frequently used to measure the usefulness of assistants.
from datasets import load_dataset
dataset = load_dataset("yuzuai/rakuda-questions")
print(dataset)
# => DatasetDict({
# train: Dataset({
# features: ['category', 'question_id', 'text'],
# num_rows: 40
# })
# })
9 commits