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README.md
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---
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language:
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- ja
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license: cc-by-nc-4.0
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task_categories:
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- text-generation
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- question-answering
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tags:
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- function-calling
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- tool-use
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- agent
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- japanese
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- synthetic
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size_categories:
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- 1k<n<10k
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---
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# 🇯🇵 Japanese Function Calling Dataset (Synthetic)
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**Robust & High-Quality Tool-Use Dataset for AI Agents**
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<div align="center">
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[
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[](https://creativecommons.org/licenses/by-nc/4.0/)
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</div>
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## Overview (概要)
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This dataset contains Japanese instruction-response pairs designed to train LLMs for **Function Calling (Tool Use)** capabilities.
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Unlike simple translation datasets, this dataset is generated to reflect **real-world Japanese usage**, including:
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- **Casual speech** (e.g., Tameguchi)
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- **Ambiguous instructions** (Subject omission)
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- **Irrelevant noise** (Realistic conversational fillers)
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本データセットは、LLM(大規模言語モデル)に**日本語でのFunction Calling(ツール利用/関数呼び出し)能力**を学習させるために設計された合成データセットです。
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単なる翻訳ではなく、**「実用的なAIエージェント」**の開発を目的としており、以下のようなリアルな日本語の特徴を含んでいます。
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- **多様な話し言葉:** 敬語だけでなく、タメ口など。
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- **曖昧な指示:** 主語の省略や、倒置法。
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- **ノイズ:** 文脈と関係のないフィラー(「えーと」など)や余計な情報。
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---
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## Why this dataset? (特徴)
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| Feature | Description |
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| :--- | :--- |
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| **High Precision** | Generated by **Gemini 2.5 Flash** and strictly validated via Python scripts. Only valid JSON is included.<br>Gemini 2.5 Flashを用いて生成し、スクリプトでJSON構文を厳密にチェック済みです。 |
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| **Robustness** | Contains various speech styles to prevent the model from overfitting to "textbook Japanese".<br>「教科書的な日本語」への過学習を防ぐため、崩した表現を多数収録しています。 |
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| **Agent-Ready** | Covering 5+ essential domains: Calendar, Weather, Smart Home, Messaging, and Booking.<br>カレンダー、天気、家電操作、予約など、エージェント開発に必須のドメインを網羅。 |
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---
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## Dataset Structure (データ構造)
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The data is provided in **JSONL** format, compatible with standard chat-completion pipelines.
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データは一般的なチャット形式(JSONL)で提供されます。
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### Sample Data
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```json
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{
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"messages": [
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{
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"role": "user",
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"content": "来週の火曜、大阪に出張なんだけど、天気どう?傘いる?"
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},
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{
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"role": "assistant",
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"tool_calls": [
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{
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"function": {
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"name": "get_weather",
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"arguments": "{\"location\": \"Osaka\", \"date\": \"next Tuesday\"}"
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}
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}
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]
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}
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]
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}
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### Defined Tools (収録ツール定義)
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The dataset assumes the following tools are available:
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以下のツール定義に基づいています。
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- `manage_schedule`: Add/Check/Delete calendar events.
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- `get_weather`: Get weather forecast.
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- `control_device`: Smart home control (Lights, AC, Locks).
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- `search_restaurant`: Search and book restaurants.
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- `send_message`: Send texts to contacts.
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---
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## Access & Licensing (ライセンスと入手方法)
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### 1. Free Preview (Hugging Face)
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- **Content:** A subset of the dataset (e.g., 500 samples).
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- **License:** [CC-BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/)
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- **Usage:** Research and personal use only. **No Commercial Use.**
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- **内容:** データセットの一部(サンプル)。
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- **用途:** 研究、個人開発のみ。**商用利用不可。**
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### 2. Full Version (Gumroad)
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- **Content:** Full dataset (10,000+ samples).
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- **License:** **Commercial Use Allowed.** You can use this data to train your proprietary models and sell them.
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- **Link:** [Available on Gumroad](ここにGumroadのリンクを貼る)
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- **内容:** フルセット(10,000件以上)。
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- **用途:** **商用利用可能。** 自社モデルの学習に使用し、そのモデルを販売することができます。
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---
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## 🛠 Generation Process (作成プロセス)
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1. **Schema Definition:** Defined typical API schemas for AI agents.
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2. **Generation:** Used **Gemini 2.5 Flash** to generate diverse Japanese prompts (Standard, Dialect, Casual) and corresponding JSON.
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3. **Validation:** Automatically parsed every JSON output. Invalid JSON or hallucinated parameters were discarded.
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---
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## Disclaimer (免責事項)
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While we strive for high accuracy, this is synthetic data. Please verify important outputs in your specific application context.
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高精度を目指して作成されていますが、合成データであるた���、実際の運用環境での動作を保証するものではありません。
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```
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---
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