## Documentation Index

Fetch the complete documentation index at: [/docs/llms.txt](/content/docs/llms.txt)

Use this file to discover all available pages before exploring further.

**Applies to:**

- Plan - Any
- Deployment - Any

##  Summary

**Goal:** Structure dataset rows with varying system and user prompts for multi-model comparison in Playground.**Features:** Datasets with chat message arrays, Playground model comparison, role-based message formatting.

##  Configuration Steps

###  Step 1: Structure dataset rows with chat message arrays

Each dataset row should contain an array with system and user messages using role-based formatting.

```
{
  "input": [
    {"role": "system", "content": "You are a helpful assistant."},
    {"role": "user", "content": "What is the capital of France?"}
  ]
}
```

###  Step 2: Add rows with varying system prompts

Create multiple rows where system prompts differ while maintaining the same structure.

```
{
  "input": [
    {"role": "system", "content": "You are a creative writer."},
    {"role": "user", "content": "Write a short story."}
  ]
}
```

###  Step 3: Enable “Append dataset messages” in Playground

In Playground Advanced settings, enable “Append dataset messages” and set the path to your messages array field (e.g., `input`).

###  Step 4: Configure model comparison

Add multiple model configurations in Playground to test each dataset row across all models with their respective system prompts.

##  Key Notes

- Each row represents one test case that runs across all configured models
- System prompts are included in the dataset row and vary per input
- All messages in the array (system and user) are appended when using “Append dataset messages”
- Alternative: Save fixed system prompts as reusable custom prompts and store only user content in datasets