Listing page
Path: Rosetta Stone → Normalized Datasets The listing page displays all datasets that have Rosetta Stone mappings applied.Columns
| Column | Description | Sortable |
|---|---|---|
| Dataset name | Display name of the dataset; click to navigate to detail page | Yes |
| Mappings | Count of non-system mappings on the dataset | Yes |
| Rows | Total record count in the dataset | Yes |
| Avg. Confidence | Average confidence score across all evaluated mappings | Yes |
| Updated | Timestamp of the last modification to the dataset or its mappings | Yes |
Average confidence display
The average confidence column uses color coding:| Color | Score range | Interpretation |
|---|---|---|
| Green | 80-100% | Mappings are generally high quality |
| Yellow | 50-79% | Some mappings may need attention |
| Red | 0-49% | Significant mapping issues likely |
| Gray | Not evaluated | No evaluation has been run |
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:| Section | Color | Represents |
|---|---|---|
| High confidence | Green | Mappings scoring 80-100% |
| Medium confidence | Yellow | Mappings scoring 50-79% |
| Low confidence | Red | Mappings scoring 0-49% |
| Not scored | Gray | Mappings without scores |
Confidence level cards
Four clickable cards showing mapping counts by confidence tier:| Card | Score range | Click action |
|---|---|---|
| High | 80-100% | Filter to show only high-confidence mappings |
| Medium | 50-79% | Filter to show only medium-confidence mappings |
| Low | 0-49% | Filter to show only low-confidence mappings |
| Not Scored | N/A | Filter to show only unscored mappings |
Overview cards
Five cards displaying dataset statistics:| Card | Description |
|---|---|
| Total Columns | Number of columns in the source dataset |
| Attributes Mapped | Count of distinct Rosetta Stone attributes with mappings |
| System Mappings | Mappings auto-generated for internal columns |
| AI Mappings | Mappings created from accepted AI suggestions |
| User Mappings | Mappings created manually by users |
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:| Element | Description |
|---|---|
| Source column | The column being mapped |
| Arrow indicator | Visual showing the mapping direction |
| Target attribute | The Rosetta Stone attribute |
| Confidence badge | Score with color indicator |
| Mapping type | Icon indicating system/AI/user/lineage |
| Expand button | Shows detailed AI feedback when clicked |
| Element | Description |
|---|---|
| Score breakdown | Factors contributing to the confidence score |
| Issues | Specific problems identified by the AI |
| Recommendations | Suggested improvements |
| Sample analysis | Before/after values from the dataset |
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:| Warning type | Description |
|---|---|
| High null rate | Many columns have significant null values |
| Inconsistent formats | Same column contains multiple data formats |
| Low coverage | Few columns could be mapped to known attributes |
| Duplicate columns | Multiple columns appear to contain the same data |
Confidence group sections
Suggestions are organized into collapsible sections by confidence tier:| Section | Initial state | Contains |
|---|---|---|
| High Confidence | Expanded | Suggestions scoring 80-100% |
| Medium Confidence | Collapsed | Suggestions scoring 50-79% |
| Low Confidence | Collapsed | Suggestions scoring 0-49% |
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 proceedingSuggestion cards
Each suggestion displays as a card showing:| Element | Description |
|---|---|
| Source column | The unmapped column in your dataset |
| Target attribute | The AI-recommended Rosetta Stone attribute |
| Confidence score | 0-100% with color indicator |
| Reasoning | Brief explanation of why the AI proposed this mapping |
| Before/after samples | Example values showing transformation results |
| Accept button | Creates the mapping |
| Reject button | Dismisses the suggestion |
| Before | After |
|---|---|
| Original value from source | Transformed value for attribute |
Actions reference
Dataset-level actions
| Action | Location | Description | Result |
|---|---|---|---|
| Evaluate Mappings | Evaluate tab | Run AI quality analysis on all mappings | Confidence scores and feedback displayed |
| Start Analysis | Normalize tab | Generate AI suggestions for unmapped columns | Suggestions displayed by confidence tier |
Mapping-level actions
| Action | Location | Description | Result |
|---|---|---|---|
| View Details | Transformation card | Expand to see AI feedback | Detailed analysis displayed |
| Edit Mapping | Transformation card menu | Modify the mapping | Opens mapping editor |
| Delete Mapping | Transformation card menu | Remove the mapping | Mapping deleted after confirmation |
Suggestion-level actions
| Action | Location | Description | Result |
|---|---|---|---|
| Accept | Suggestion card | Create mapping from suggestion | Mapping created; suggestion removed |
| Reject | Suggestion card | Dismiss the suggestion | Suggestion removed; won’t reappear |
| Accept All High | High Confidence section | Bulk accept all high-confidence suggestions | Multiple mappings created |
Status indicators
Evaluation status
| Indicator | Meaning |
|---|---|
| No results | Evaluation has never been run |
| Evaluating… | Evaluation in progress |
| Last evaluated: | Results are from the indicated date |
| Stale badge | Mappings changed since last evaluation |
Suggestion status
| Indicator | Meaning |
|---|---|
| No suggestions | Analysis has never been run |
| Generating… | Analysis in progress |
| suggestions | Suggestions available for review |
| All processed | All suggestions accepted or rejected |
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
Related content
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