Update README.md

README.md

@@ -22,4 +22,36 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+tags:
+- function-calling
+- agent
+- synthetic
+- mathematics
+- nlp
 ---
+
+# Simple Calculator: Agentic Function-Calling Dataset
+
+## Overview
+This dataset contains **20,000 highly structured, synthetically generated examples** designed to train Large Language Models (LLMs) in agentic tool-calling and parameter extraction. It focuses on mapping diverse natural language mathematical queries—ranging from direct commands to conversational word problems—into deterministic, executable JSON structures for a calculator tool.
+
+## Dataset Structure
+The dataset trains models to isolate numerical entities and identify the correct mathematical operation required to solve the user's prompt.
+
+### Schema
+* **`prompt`** *(string)*: The natural language input (e.g., "If I have a 200 bill and I want to split it with 3 friends").
+* **`tool`** *(string)*: The target target routing function (`add`, `subtract`, `multiply`, or `divide`).
+* **`args`** *(struct)*: The extracted numerical parameters.
+  * **`a`** *(float64)*: The first numerical operand.
+  * **`b`** *(float64)*: The second numerical operand.
+
+### Data Example
+```json
+{
+  "prompt": "A factory produces 45.5 items per hour. How many items does it make in 8 hours?",
+  "tool": "multiply",
+  "args": {
+    "a": 45.5,
+    "b": 8.0
+  }
+}