> ## Documentation Index
> Fetch the complete documentation index at: https://agent-observability-docs.splunk.com/llms.txt
> Use this file to discover all available pages before exploring further.
# Add a dataset
> Reference for the three dataset sources: Upload, Fetch from URL, and Import from Splunk Agent Observability.
The **Add dataset** modal is reused everywhere you can pick a dataset source — the Datasets page, [Step 2 of the run creation flow](/luna-studio/ui/runs/new-run/step-2-test-set), and [Step 3](/luna-studio/ui/runs/new-run/step-3-training-set). The title and copy adapt to whether you're adding a test set or a training set, but the three sources are the same.
## The three sources
Pick one card. Only one source can be active at a time.
Drag-and-drop a `.csv` or `.jsonl` file from your machine. Use CSV for datasets you plan to use in a run.
Paste a publicly reachable or pre-signed `http://` or `https://` URL.
Browse datasets in your connected Splunk Agent Observability workspace.
A hint at the bottom of the modal may list expected columns. The authoritative column contract comes from the evaluator used when Luna Studio validates the dataset for a run.
## Upload from local
A drop zone replaces the source picker.
Accepted file types: `.csv` and `.jsonl`. Other types are rejected.
Luna uploads the file and creates the dataset. From the global Datasets page, the modal then closes. In the run wizard, Luna also validates the dataset against the selected evaluator before attaching it to the run.
### Format reference
Use CSV for a dataset that will be selected for a run. Although the source picker accepts `.jsonl` during ingestion, the current run-validation and data-generation paths read the stored file as CSV. JSONL is therefore not supported end to end yet.
For CSV, the first row is treated as headers. The required feature columns depend on the evaluator shape; labelled datasets also need a `label` column. See [Prerequisites](/luna-studio/ui/prerequisites#required-dataset-format) for the shape-specific contracts.
For example, a Boolean, single-input dataset uses integer `0` and `1` labels:
```csv theme={null}
input,label
"What's the warranty on this?",0
"You're an idiot.",1
"How do I reset my password?",0
```
## Fetch from URL
A URL input replaces the source picker.
Only `http://` and `https://` URLs are accepted. The URL must resolve to a public host and return the dataset file directly. Use a CSV source for datasets intended for a run.
Luna fetches the file and creates the dataset. Redirects are checked before Luna follows them, and private or internal network targets are blocked. From the global Datasets page, the modal then closes. In the run wizard, Luna also validates the fetched dataset against the selected evaluator before attaching it to the run.
### Authentication for cloud URLs
Raw object-store URIs such as `s3://` and `gs://` are not supported by URL import. For a private S3 or GCS object, create a time-limited pre-signed HTTPS URL and paste that URL instead. Luna Studio does not attach provider credentials or custom request headers to a URL fetch.
If Luna cannot fetch or safely resolve the URL, the import returns an error. Check that the link is still valid, returns HTTP 200, and is reachable from the Luna Studio service.
## Import from Splunk Agent Observability
**Splunk Agent Observability connection required.** In the current release, importing from Splunk Agent Observability reads the Splunk Agent Observability API URL and key from the Luna Studio deployment. Personal and workspace Splunk Agent Observability integrations saved in the app do not override those runtime settings. See [Splunk Agent Observability
integration](/luna-studio/ui/integrations/splunk-ao) for setup details.
The Splunk Agent Observability import panel replaces the source picker.
If Luna Studio opens an integration prompt but the import still reports that Splunk Agent Observability is not configured, ask your deployment operator to configure the backend Splunk Agent Observability API URL and key. See [Splunk Agent Observability integration](/luna-studio/ui/integrations/splunk-ao).
Type into the search input. Each row in the list shows the dataset name plus a row count.
Each row has its own **Import** action — clicking it imports that dataset into Luna Studio. The modal closes immediately after import (no separate **Add** button is shown for Splunk Agent Observability).
### What if the integration is removed mid-flow?
If you cancel the integration modal that pops up before the import panel, the source selection is cleared and you can pick a different source.
## Validation
Adding a dataset from the global Datasets page ingests and stores it without a selected evaluator. That flow cannot apply the evaluator-specific column, label-type, and row-threshold contract.
When you add or choose a dataset in Step 2 or Step 3 of the run wizard, Luna Studio has the evaluator context and runs the applicable test-set, training-set, or label-only checks. A dataset that uploads successfully can still fail this run-specific validation. If that happens, the dataset remains available on the Datasets page, but Luna Studio does not attach it to the current run.
For the full validation rules, see [Validation](/luna-studio/ui/datasets/validation).
## Where to go next
Schema rules and best practices for evaluation data.
Schema rules and best practices for fine-tuning data.
What Luna checks and what to do when validation fails.
Deployment connection required for Import from Splunk Agent Observability.