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This reference documents the UI elements, metrics, and actions available in the Normalized Datasets interface.

Listing page

Path: Rosetta Stone → Normalized Datasets The listing page displays all datasets that have Rosetta Stone mappings applied.

Columns

Average confidence display

The average confidence column uses color coding:

Empty state

When no datasets have mappings, the listing displays a message with a link to the mapping documentation.

Detail page

Path: Rosetta Stone → Normalized Datasets → The detail page shows evaluation results and mapping suggestions for a specific dataset. It has two tabs: Evaluate and Normalize.

Evaluate tab

The Evaluate tab displays AI-powered quality scores for existing mappings.

Confidence gradient bar

A horizontal bar at the top showing the distribution of mappings across confidence tiers: The bar width of each section is proportional to the count of mappings in that tier.

Confidence level cards

Four clickable cards showing mapping counts by confidence tier: Click the active filter again or click All to clear the filter.

Overview cards

Five cards displaying dataset statistics: Click a mapping type card to filter the mapping list to that type.

LLM summary section

When an evaluation completes, this section displays an AI-generated analysis including:
  • Overall quality assessment
  • Key issues identified
  • Recommended actions
  • Patterns observed across mappings

Transformation cards

Each mapping displays as a card showing: Expanded card view:

Evaluate mappings button

Location: Top right of the Evaluate tab Action: Triggers a new AI evaluation of all mappings on the dataset States:
  • Ready: Button displays “Evaluate Mappings”
  • Running: Button shows loading animation; icon animates
  • Complete: Results display in the interface

Normalize tab

The Normalize tab generates and displays AI mapping suggestions for unmapped columns.

Start analysis button

Location: Top of the Normalize tab (when no suggestions exist) Action: Triggers AI analysis to generate mapping suggestions for unmapped columns States:
  • Ready: Button displays “Start Analysis”
  • Running: Button shows loading animation
  • Complete: Suggestions appear grouped by confidence

Global warnings section

Displays dataset-level warnings from the AI analysis:

Confidence group sections

Suggestions are organized into collapsible sections by confidence tier: Click section headers to expand or collapse.

Accept all high confidence button

Location: Header of the High Confidence section Action: Bulk accepts all suggestions in the high-confidence tier Confirmation: Displays count of mappings to be created before proceeding

Suggestion cards

Each suggestion displays as a card showing: Sample display format: Up to 5 sample pairs are shown per suggestion.

Actions reference

Dataset-level actions

Mapping-level actions

Suggestion-level actions


Status indicators

Evaluation status

Suggestion status


Filtering and sorting

Listing page

  • Click column headers to sort by that column
  • Default sort: Updated (descending)

Detail page mappings

  • Click confidence cards to filter by confidence tier
  • Click overview cards to filter by mapping type
  • Filters can be combined (e.g., low-confidence user mappings)
  • Click All to clear filters

Managing Evaluations

How to run and interpret evaluations

Accepting AI Suggestions

How to review and accept suggestions

Confidence Scoring

How confidence scores are calculated

Mapping Schemas

Creating mappings manually