Dataset Health Dashboard Overview

• This dashboard evaluates your dataset across multiple quality dimensions:

  
  

  Overall Health Score

  • A 0–100 rating that summarizes your dataset’s quality
  • Based on completeness, uniqueness, and format consistency
  
  

  Basic Metrics

  • Row Count: Total number of instruction records
  • Column Count: Number of fields (e.g., prompt, output)
  • File Size: Disk space occupied by the dataset
  • Memory Usage: RAM estimated for processing/training
  
  

  Quality Metrics

  • Missing Data: % of empty or null values in required columns
  • Duplicate Entries: % of identical rows (may cause model bias)
  • Format Consistency: Checks for structural uniformity across rows
  • Column Structure: Shows each column and its data type (e.g., text, number, boolean)