llm-jp
Datasets
All datasets matching “llm-jp”AnswerCarefully
AnswerCarefully
概要
AnswerCarefullyは日本語LLM 出力の安全性・適切性に特化したインストラクションデータセットです。
このデータセットは、英語の要注意回答を集めた Do-Not-Answer データセット の包括的なカテゴリ分類に基づき、人手で質問・回答ともに日本語サンプルを集めたオリジナルのデータセットです。
データセットの詳細については、こちらをご覧ください。
Overview
AnswerCarefully is an instruction dataset specifically aimed at ensuring safety and appropriateness of LLM output in Japanese.
This dataset consists of original pairs of questions and reference (safe) responses based on the extensive safety taxonomy proposed in… See the full description on the dataset page: https://huggingface.co/datasets/llm-jp/AnswerCarefully.leaderboard-resultsleaderboard-requestsllm-jp-4-thinking-sft-data
llm-jp-4-thinking-sft-data
Overview
This dataset is a supervised fine-tuning (SFT) dataset used to train llm-jp-4-*-thinking models.
This dataset is constructed by extracting prompts from multiple data sources and generating reasoning processes and final responses using gpt-oss-120b.
The splits reasoning_low, reasoning_medium, and reasoning_high correspond to different reasoning effort settings used during generation with gpt-oss-120b.
To support the continued development… See the full description on the dataset page: https://huggingface.co/datasets/llm-jp/llm-jp-4-thinking-sft-data.leaderboard-requests-v2leaderboard-contents-v2