> ## Documentation Index
> Fetch the complete documentation index at: https://chainlit-5-wd-prompt.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Dataset

A dataset is an essential component in refining your LLM application's performance. It comprises a collection of input/output samples for conducting tests and validations.

Our SDK facilitates dataset management, enabling both manual handling and the transformation of existing steps into actionable samples. This feature is designed for iterative development and fine-tuning of your application.

### Create a dataset

<CodeGroup>
  ```python Python
  dataset = await sdk.api.create_dataset(
    name="Foo", description="A dataset to store samples.", metadata={"isDemo": True}
  )
  ```

  ```typescript TypeScript
  const dataset = await client.api.createDataset({
    name: 'Foo',
    description: 'A dataset to store samples.',
    metadata: { isDemo: true }
  });
  ```
</CodeGroup>

### Create a dataset item

<CodeGroup>
  ```python Python
  dataset_item = await dataset.create_dataset_item(
    dataset_id=dataset.id,
    input={ "content": "What is literal?" },
    output={ "content": "Literal is an observability solution." }
  )

  step_item = await dataset.add_step_to_dataset(dataset.id, step.id)
  ```

  ```typescript TypeScript
  const datasetItem = await dataset.createDatasetItem(
    dataset.id,
    {
      input: { "content": "What is literal?" },
      output: { "content": "Literal is an observability solution." },
    }
  );

  const stepItem = await dataset.addStepToDataset(dataset.id, step.id);
  ```
</CodeGroup>

### Get a dataset

<CodeGroup>
  ```python Python
  dataset = await sdk.api.get_dataset(id="dataset_id")

  for item in dataset.items:
    pass
  ```

  ```typescript TypeScript
  const dataset = await client.api.getDataset("dataset_id");

  dataset.items.forEach((item) => {
    // ...
  });
  ```
</CodeGroup>