🤖 AI Dataset Validator

Function-Calling Simulator & Data Pipeline QA System

✓ JSON Validation ✓ Schema Checks ✓ SQL Safety ✓ Error Detection ✓ Dataset QA

💬 Natural Language Input

▶ Run Pipeline

Quick examples: Users in Dhaka User Stats Search Products Order History

⚡ Generated Function Call 📋 Copy

🛡️ Validation Result

📊 Query Results

🔍 Dataset Quality Analysis

📝 Function Call JSON

🛡️ Validate ▶ Validate & Execute 🔧 Format JSON 🗑️ Clear

🛡️ Validation Result

📊 Execution Results

🔍 Dataset Quality Analysis

📁 Sample Function Calls

✓ Valid Calls

✗ Invalid Calls

🎯 Base Function Call (will be corrupted)

{ "name": "query_database", "arguments": { "query": "SELECT * FROM users WHERE city = 'Dhaka' AND age > 20" } }

💉 Injection Modes — Click to Inject

🔬 Injection Result

✓ Original

✗ Corrupted

🛡️ Validation of Corrupted Call

📋 Registered Functions 0 functions

⏳

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0 Total Runs

0% Valid Rate

0% Invalid Rate

0 Avg Quality

Validation Results Distribution

Error Type Breakdown

Function Usage

SQL Failure vs Success

📜 Recent Pipeline Runs 🔄 Refresh

📊

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