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

# Get Dataset

> Retrieve details of a specific dataset

## Request

Returns detailed information about a dataset including document count and metadata.

### Path Parameters

<ParamField path="dataset_id" type="string" required>
  The unique dataset identifier (e.g., `ds_abc123`)
</ParamField>

### Headers

<ParamField header="Authorization" type="string" required>
  Bearer token for authentication
</ParamField>

## Response

<ResponseField name="id" type="string">
  Dataset identifier
</ResponseField>

<ResponseField name="name" type="string">
  Dataset name
</ResponseField>

<ResponseField name="description" type="string">
  Dataset description
</ResponseField>

<ResponseField name="is_public" type="boolean">
  Public accessibility status
</ResponseField>

<ResponseField name="document_count" type="integer">
  Number of documents in dataset
</ResponseField>

<ResponseField name="created_at" type="string">
  ISO 8601 creation timestamp
</ResponseField>

<ResponseField name="updated_at" type="string">
  ISO 8601 last update timestamp
</ResponseField>

<ResponseField name="metadata" type="object">
  Custom metadata
</ResponseField>

## Examples

```bash cURL theme={null}
curl https://api.fltr.com/v1/datasets/ds_abc123 \
  -H "Authorization: Bearer fltr_sk_abc123..."
```

```python Python theme={null}
response = requests.get(
    "https://api.fltr.com/v1/datasets/ds_abc123",
    headers={"Authorization": "Bearer fltr_sk_abc123..."}
)
dataset = response.json()
```

### Response

```json theme={null}
{
  "id": "ds_abc123",
  "name": "Product Documentation",
  "description": "All product docs and guides",
  "is_public": false,
  "document_count": 42,
  "created_at": "2024-01-10T12:00:00Z",
  "updated_at": "2024-01-10T15:30:00Z",
  "metadata": {
    "category": "documentation",
    "team": "product"
  }
}
```

## Errors

```json theme={null}
{
  "error": "Dataset not found",
  "code": "dataset_not_found",
  "details": {
    "dataset_id": "ds_invalid"
  }
}
```