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# Get Dataset

GET https://api.humanloop.com/v5/datasets/{id}

Retrieve the Dataset with the given ID.

Unless `include_datapoints` is set to `true`, the response will not include
the Datapoints.
Use the List Datapoints endpoint (`GET /{id}/datapoints`) to efficiently
retrieve Datapoints for a large Dataset.

By default, the deployed version of the Dataset is returned. Use the query parameters
`version_id` or `environment` to target a specific version of the Dataset.

Reference: https://humanloop.com/docs/api/datasets/get

## Authentication

- `X-API-KEY` header (required) — API Key authentication via header

## Request

### Path parameters

- `id` (string, required) — Unique identifier for Dataset.

### Query parameters

- `version_id` (string, optional) — A specific Version ID of the Dataset to retrieve.
- `environment` (string, optional) — Name of the Environment to retrieve a deployed Version from.
- `include_datapoints` (boolean, optional, default: false) — If set to `true`, include all Datapoints in the response. Defaults to `false`. Consider using the paginated List Datapoints endpoint instead.

## Response

### 200

Successful Response

- `path` (string, required) — Path of the Dataset, including the name, which is used as a unique identifier.
- `id` (string, required) — Unique identifier for the Dataset. Starts with `ds_`.
- `name` (string, required) — Name of the Dataset, which is used as a unique identifier.
- `version_id` (string, required) — Unique identifier for the specific Dataset Version. If no query params provided, the default deployed Dataset Version is returned. Starts with `dsv_`.
- `created_at` (datetime, required)
- `updated_at` (datetime, required)
- `last_used_at` (datetime, required)
- `datapoints_count` (integer, required) — The number of Datapoints in this Dataset version.
- `directory_id` (string, optional) — ID of the directory that the file is in on Humanloop.
- `description` (string, optional) — Description of the Dataset.
- `schema` (map from string to any, optional) — The JSON schema for the File.
- `readme` (string, optional) — Long description of the file.
- `tags` (list of string, optional) — List of tags associated with the file.
- `type` ("dataset", optional)
- `environments` (list of EnvironmentResponse, optional) — The list of environments the Dataset Version is deployed to.
- `created_by` (any, optional) — The user who created the Dataset.
- `version_name` (string, optional) — Unique name for the Dataset version. Version names must be unique for a given Dataset.
- `version_description` (string, optional) — Description of the version, e.g., the changes made in this version.
- `datapoints` (list of DatapointResponse, optional) — The list of Datapoints in this Dataset version. Only provided if explicitly requested.
- `attributes` (map from string to any, optional) — Additional fields to describe the Dataset. Helpful to separate Dataset versions from each other with details on how they were created or used.

## Errors

### 422 Get Datasets ID Get Request Unprocessable Entity Error

Validation Error

- `detail` (list of ValidationError, optional)

## Types

### EnvironmentResponse

- `id` (string, required)
- `created_at` (datetime, required)
- `name` (string, required)
- `tag` (enum, required) — An enumeration.
  - Allowed values: `default`, `other`

### DatapointResponse

- `id` (string, required) — Unique identifier for the Datapoint. Starts with `dp_`.
- `inputs` (map from string to string, optional) — The inputs to the prompt template.
- `messages` (list of ChatMessage, optional) — List of chat messages to provide to the model.
- `target` (map from string to DatapointResponseTargetValue, optional) — Object with criteria necessary to evaluate generations with this Datapoint. This is passed in as an argument to Evaluators when used in an Evaluation.

### ValidationError

- `loc` (list of ValidationErrorLocItem, required)
- `msg` (string, required)
- `type` (string, required)

### ChatMessage

- `role` (enum, required) — Role of the message author.
  - Allowed values: `user`, `assistant`, `system`, `tool`, `developer`
- `content` (ChatMessageContent, optional) — The content of the message.
- `name` (string, optional) — Optional name of the message author.
- `tool_call_id` (string, optional) — Tool call that this message is responding to.
- `tool_calls` (list of ToolCall, optional) — A list of tool calls requested by the assistant.
- `thinking` (list of ChatMessageThinkingItem, optional) — Model's chain-of-thought for providing the response. Present on assistant messages if model supports it.

### DatapointResponseTargetValue

### ValidationErrorLocItem

### ChatMessageContent

The content of the message.

### ToolCall

A tool call to be made.

- `id` (string, required)
- `type` ("function", required) — The type of tool to call.
- `function` (FunctionTool, required) — A function tool to be called by the model where user owns runtime.

### ChatMessageThinkingItem

### FunctionTool

A function tool to be called by the model where user owns runtime.

- `name` (string, required)
- `arguments` (string, optional)

### AnthropicThinkingContent

- `type` ("thinking", required)
- `thinking` (string, required) — Model's chain-of-thought for providing the response.
- `signature` (string, required) — Cryptographic signature that verifies the thinking block was generated by Anthropic.

### AnthropicRedactedThinkingContent

- `type` ("redacted_thinking", required)
- `data` (string, required) — Thinking block Anthropic redacted for safety reasons. User is expected to pass the block back to Anthropic

## Examples

**Response**

```json
{
  "path": "test-questions",
  "id": "ds_345mno",
  "name": "test-questions",
  "version_id": "dsv_678pqr",
  "created_at": "2024-05-01T12:00:00Z",
  "updated_at": "2024-05-01T12:00:00Z",
  "last_used_at": "2024-05-01T12:00:00Z",
  "datapoints_count": 2,
  "type": "dataset",
  "datapoints": [
    {
      "id": "dp_123456",
      "inputs": {
        "question": "What is the capital of France?"
      },
      "target": {
        "answer": "Paris"
      }
    },
    {
      "id": "dp_789012",
      "inputs": {
        "question": "Who wrote Hamlet?"
      },
      "target": {
        "answer": "William Shakespeare"
      }
    }
  ]
}
```

**SDK Code**

```python Get dataset
import requests

url = "https://api.humanloop.com/v5/datasets/ds_b0baF1ca7652"

querystring = {"version_id":"dsv_6L78pqrdFi2xa","include_datapoints":"true"}

headers = {"X-API-KEY": "<apiKey>"}

response = requests.get(url, headers=headers, params=querystring)

print(response.json())
```

```typescript Get dataset
import { HumanloopClient } from "humanloop";

const client = new HumanloopClient({ apiKey: "YOUR_API_KEY" });
await client.datasets.get("ds_b0baF1ca7652", {
    versionId: "dsv_6L78pqrdFi2xa",
    includeDatapoints: true
});

```

```go Get dataset
package main

import (
	"fmt"
	"net/http"
	"io"
)

func main() {

	url := "https://api.humanloop.com/v5/datasets/ds_b0baF1ca7652?version_id=dsv_6L78pqrdFi2xa&include_datapoints=true"

	req, _ := http.NewRequest("GET", url, nil)

	req.Header.Add("X-API-KEY", "<apiKey>")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(res)
	fmt.Println(string(body))

}
```

```ruby Get dataset
require 'uri'
require 'net/http'

url = URI("https://api.humanloop.com/v5/datasets/ds_b0baF1ca7652?version_id=dsv_6L78pqrdFi2xa&include_datapoints=true")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Get.new(url)
request["X-API-KEY"] = '<apiKey>'

response = http.request(request)
puts response.read_body
```

```java Get dataset
import com.mashape.unirest.http.HttpResponse;
import com.mashape.unirest.http.Unirest;

HttpResponse<String> response = Unirest.get("https://api.humanloop.com/v5/datasets/ds_b0baF1ca7652?version_id=dsv_6L78pqrdFi2xa&include_datapoints=true")
  .header("X-API-KEY", "<apiKey>")
  .asString();
```

```php Get dataset
<?php
require_once('vendor/autoload.php');

$client = new \GuzzleHttp\Client();

$response = $client->request('GET', 'https://api.humanloop.com/v5/datasets/ds_b0baF1ca7652?version_id=dsv_6L78pqrdFi2xa&include_datapoints=true', [
  'headers' => [
    'X-API-KEY' => '<apiKey>',
  ],
]);

echo $response->getBody();
```

```csharp Get dataset
using RestSharp;

var client = new RestClient("https://api.humanloop.com/v5/datasets/ds_b0baF1ca7652?version_id=dsv_6L78pqrdFi2xa&include_datapoints=true");
var request = new RestRequest(Method.GET);
request.AddHeader("X-API-KEY", "<apiKey>");
IRestResponse response = client.Execute(request);
```

```swift Get dataset
import Foundation

let headers = ["X-API-KEY": "<apiKey>"]

let request = NSMutableURLRequest(url: NSURL(string: "https://api.humanloop.com/v5/datasets/ds_b0baF1ca7652?version_id=dsv_6L78pqrdFi2xa&include_datapoints=true")! as URL,
                                        cachePolicy: .useProtocolCachePolicy,
                                    timeoutInterval: 10.0)
request.httpMethod = "GET"
request.allHTTPHeaderFields = headers

let session = URLSession.shared
let dataTask = session.dataTask(with: request as URLRequest, completionHandler: { (data, response, error) -> Void in
  if (error != nil) {
    print(error as Any)
  } else {
    let httpResponse = response as? HTTPURLResponse
    print(httpResponse)
  }
})

dataTask.resume()
```