wasabiP/japanese-triplet-lifestyle-romance
๐ฏ Japanese Preference Dataset: Counseling & Advice (Free Sample) This repository provides a free sample of a Japanese preference learning dataset designed for Direct Preference Optimization (DPO), RLHF, Reward Modeling, response ranking, and Japanese LLM alignment. The dataset focuses on realistic Japanese counseling and advice scenarios, helping language models learn not only factual correctness but also empathy, contextual understanding, and practical response quality.โฆ See the full description on the dataset page: https://huggingface.co/datasets/wasabiP/japanese-triplet-lifestyle-romance.
๐ฏ Japanese Preference Dataset: Counseling & Advice (Free Sample)

This repository provides a free sample of a Japanese preference learning dataset designed for Direct Preference Optimization (DPO), RLHF, Reward Modeling, response ranking, and Japanese LLM alignment.
The dataset focuses on realistic Japanese counseling and advice scenarios, helping language models learn not only factual correctness but also empathy, contextual understanding, and practical response quality.
๐ Full Version
A larger commercial edition containing approximately 1,000 curated preference samples is available on Gumroad.
๐ https://wasabicatalog.gumroad.com/l/ioojr
Included in the Full Version
- Approximately 1,000 Japanese preference samples
- JSON format
- Four-part preference structure:
anchorpositivehard_negativenegative- Rich metadata:
topicemotionintentsituationresponse_styleurgencydifficulty- Commercial use permitted
- AI training & fine-tuning permitted
๐ Dataset Features
Preference Learning Oriented
Each sample contains multiple responses with different quality levels, making the dataset suitable for:
- Direct Preference Optimization (DPO)
- Reward Model (RM) training
- RLHF research
- Response ranking
- Japanese LLM alignment
Newly Generated Dataset
The dataset consists of newly generated counseling and advice scenarios created from abstract consultation themes rather than copied consultation texts.
Challenging Hard Negatives
Rather than simple word substitutions, the hard_negative responses intentionally represent subtle but realistic mistakes, such as:
- insufficient empathy
- incomplete contextual understanding
- weak practical usefulness
- slightly inappropriate advice
This enables models to learn fine-grained preference differences.
Natural Japanese Conversations
The dataset reflects natural Japanese expressions commonly found in counseling and advice situations, including realistic emotional nuance and conversational tone.
Quality Assurance
The dataset was reviewed through:
- Automated validation (JSON validation, duplicate detection, keyword analysis, sentence-ending analysis)
- Human spot review of selected samples for naturalness and logical consistency
๐ Sample Format
[
{
"metadata": {
"topic": "ไบบ้้ขไฟใปไปไบ",
"emotion": "ไธๅฎใป็ฆใ",
"intent": "ๅ
ฑๆใจๅ
ทไฝ็ใชใขใใใคใน",
"situation": "่ทๅ ดใงใฎใณใใฅใใฑใผใทใงใณไธ่ถณใซๆฉใใงใใ",
"response_style": "ๅ
ฑๆใปๅปบ่จญ็",
"urgency": "medium",
"difficulty": "medium"
},
"anchor": "ๆ่ฟ่ทๅ ดใงใฎใณใใฅใใฑใผใทใงใณใใใพใใใใใ่ชๅใฎๆ่ฆใไผใใใฎใๆใใชใฃใฆใใพใใพใใใใฉใใใใฐ่ชไฟกใๆใฆใใงใใใใ๏ผ",
"positive": "ใ่พใ็ถๆณใงใใญใใพใใฏไธๆฐใซ่งฃๆฑบใใใใจใใใๅฐใใชๆจๆถใใใชใใใใๅงใใฆใฟใพใใใใ่ชๅใฎๆ่ฆใ็ดใซๆธใๅบใใฆใใ่ฉฑใใฎใๅนๆ็ใงใใใ",
"hard_negative": "ใณใใฅใใฑใผใทใงใณไธ่ถณใฏๆบๅไธ่ถณใๅๅ ใงใใใใฃใจ่ชไฟกใๆใฃใฆ็บ่จใใชใใจใๅจๅฒใใใฎ่ฉไพกใไธใใฃใฆใใพใใพใใใ",
"negative": "่ทๅ ดใๅคใใใฎใไธ็ชใฎ่งฃๆฑบ็ญใงใใ่ปข่ทใตใคใใซ็ป้ฒใใฆใฟใใใจใใใใใใใพใใ"
}
]