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# DatasetsManager

**Added in:** `@mastra/core@1.4.0`

The `DatasetsManager` class provides the public API for managing datasets, including CRUD operations and cross-dataset experiment comparisons. Access it via `mastra.datasets`.

## Usage examples

### Create and list datasets

```typescript
import { Mastra } from '@mastra/core'

const mastra = new Mastra({/* storage config */})

// Create a dataset
const dataset = await mastra.datasets.create({
  name: 'QA pairs',
  description: 'Question-answer evaluation set',
})

// List all datasets
const { datasets } = await mastra.datasets.list()
```

### Get and delete a dataset

```typescript
import { Mastra } from '@mastra/core'

const mastra = new Mastra({/* storage config */})

// Get by ID
const dataset = await mastra.datasets.get({ id: 'dataset-id' })

// Delete by ID
await mastra.datasets.delete({ id: 'dataset-id' })
```

### Get experiment

Retrieves a specific experiment (run) by ID. Unlike `dataset.getExperiment()`, this works across all datasets without needing a dataset reference first.

```typescript
import { Mastra } from '@mastra/core'

const mastra = new Mastra({/* storage config */})

// Get experiment directly without knowing the dataset
const experiment = await mastra.datasets.getExperiment({
  experimentId: 'exp-id',
})

console.log(`Dataset: ${experiment.datasetId}`)
console.log(`Status: ${experiment.status}`)
```

### Delete experiment

Deletes an experiment directly by ID, including experiments orphaned by dataset deletion. Mastra deletes the experiment's observability traces first, then the experiment and its result records. Unsupported observability storage leaves the traces in place and logs a warning.

```typescript
await mastra.datasets.deleteExperiment({
  experimentId: 'experiment-id',
  organizationId: 'organization-id',
  projectId: 'project-id',
})
```

See [`DatasetsManager.deleteExperiment()`](https://mastra.ai/reference/datasets/deleteExperiment) for tenancy behavior and trace cascade details.

### Compare experiments

```typescript
import { Mastra } from '@mastra/core'

const mastra = new Mastra({/* storage config */})

const comparison = await mastra.datasets.compareExperiments({
  experimentIds: ['exp-1', 'exp-2'],
  baselineId: 'exp-1',
})
```

## Access

`DatasetsManager` isn't instantiated directly. Access it from a `Mastra` instance:

```typescript
const mastra = new Mastra({/* storage config */})
const datasetsManager = mastra.datasets
```

## Related

- [Dataset class](https://mastra.ai/reference/datasets/dataset)
- [DatasetsManager.create()](https://mastra.ai/reference/datasets/create)
- [DatasetsManager.compareExperiments()](https://mastra.ai/reference/datasets/compareExperiments)