| --- |
| language: |
| - en |
| license: apache-2.0 |
| size_categories: |
| - 1K<n<10K |
| task_categories: |
| - text-generation |
| pretty_name: OpenAI Function Calling Format (5K) |
| tags: |
| - function-calling |
| - tool-use |
| - openai |
| - chat |
| - messages |
| - synthetic |
| - instruction-tuning |
| - tool_calls |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: openai-function-calling-5k.jsonl |
| --- |
| |
| # OpenAI Function Calling Format (5K) |
|
|
| Synthetic function-calling conversations in the **OpenAI messages format** (`tool_calls` / `tool` role). |
|
|
| ## Why This Dataset |
|
|
| Compatible with GPT-4, Mistral, Llama-3.1, Qwen2.5, and any model trained on the OpenAI chat format. Most existing function-calling datasets use abstract schemas — this uses the exact wire format models see in production. |
|
|
| ## Dataset Description |
|
|
| **5,000 conversations** across 10 tool types: |
|
|
| | Tool | Single-turn | Multi-turn | |
| |---|---|---| |
| | `get_weather` | ✓ | — | |
| | `get_stock_price` | ✓ | ✓ | |
| | `search_web` | ✓ | ✓ | |
| | `execute_python` | ✓ | ✓ | |
| | `query_database` | ✓ | — | |
| | `send_email` | ✓ | ✓ | |
| | `create_calendar_event` | ✓ | — | |
| | `translate_text` | ✓ | — | |
| | `read_file` | ✓ | ✓ | |
| | `create_chart` | ✓ | — | |
|
|
| - **~80% single-turn** (one tool call → result → response) |
| - **~20% multi-turn** (sequential tool calls, e.g. search then email) |
|
|
| ## Format |
|
|
| Exact OpenAI messages format: |
|
|
| ```json |
| { |
| "messages": [ |
| {"role": "system", "content": "You are a helpful AI assistant..."}, |
| {"role": "user", "content": "What's the weather in Tokyo?"}, |
| { |
| "role": "assistant", |
| "content": null, |
| "tool_calls": [{ |
| "id": "call_abc123", |
| "type": "function", |
| "function": {"name": "get_weather", "arguments": "{"location": "Tokyo, Japan"}"} |
| }] |
| }, |
| {"role": "tool", "content": "{"temperature": 28, ...}", "tool_call_id": "call_abc123"}, |
| {"role": "assistant", "content": "Current weather in Tokyo: 28°C..."} |
| ], |
| "tools": [{"type": "function", "function": {...}}], |
| "metadata": {"type": "single_turn", "tool": "get_weather"}, |
| "id": "abc123" |
| } |
| ``` |
|
|
| ## Use Case |
|
|
| - Fine-tune LLMs for function calling (SFT on chosen response) |
| - Train tool-selection and argument generation |
| - Evaluate function-calling capability |
| - Drop-in compatible with OpenAI fine-tuning API format (with minor adaptation) |
|
|
| ## License |
|
|
| Apache 2.0 |
|
|
