> ## Documentation Index
> Fetch the complete documentation index at: https://docs.narrative.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Normalized Datasets Interface

> Reference for the Normalized Datasets listing and detail pages

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

| 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 → {dataset_name}

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  |

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:

| 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          |

Click the active filter again or click **All** to clear the filter.

### 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                       |

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:

| 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 |

**Expanded card view:**

| 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%   |

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:

| 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                              |

**Sample display format:**

| Before                     | After                           |
| -------------------------- | ------------------------------- |
| Original value from source | Transformed value for attribute |

Up to 5 sample pairs are shown per suggestion.

***

## 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: {date}** | 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                 |
| **{N} 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

<CardGroup cols={2}>
  <Card title="Managing Evaluations" icon="gauge" href="/guides/rosetta-stone/managing-evaluations">
    How to run and interpret evaluations
  </Card>

  <Card title="Accepting AI Suggestions" icon="wand-magic-sparkles" href="/guides/rosetta-stone/accepting-ai-suggestions">
    How to review and accept suggestions
  </Card>

  <Card title="Confidence Scoring" icon="gauge-high" href="/concepts/rosetta-stone/confidence-scoring">
    How confidence scores are calculated
  </Card>

  <Card title="Mapping Schemas" icon="diagram-project" href="/guides/rosetta-stone/mapping-schemas">
    Creating mappings manually
  </Card>
</CardGroup>
