---
license: apache-2.0
task_categories:
- text-generation
language:
- en
tags:
- code
pretty_name: Tool-Calling Instruction Dataset
size_categories:
- n<1K
---


# 🛠️ Tool-Calling Instruction Dataset

This dataset consists of instruction-completion pairs for training Large Language Models (LLMs) to convert natural language requests into structured tool/function calls.  
The data format is inspired by [ChatML](https://github.com/openai/openai-python/blob/main/chatml.md) and includes explicit `system`, `user`, and `assistant` roles.

---

## Dataset Structure

- Each example is a single JSON object with a `text` field, containing a chat-formatted prompt and response.
- The **user** gives an instruction (e.g., "Analyze the file ...").
- The **assistant** responds with a tool/function call (e.g., `TOOL_NEEDED: ... PARAMS: {...}`).

**Sample row:**
```json
{
  "text": "<|im_start|>system\nBelow are some instructions that describe some tasks. Write responses that appropriately complete each request.<|im_end|>\n<|im_start|>user\nAnalyze the file C:/Users/emre/Desktop/abc.tif<|im_end|>\n<|im_start|>assistant\nTOOL_NEEDED: analyze_tiff\nPARAMS: {\"filepath\": \"C:/Users/emre/Desktop/abc.tif\"}<|im_end|>"
}