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GET
/
v2
/
datasets
/
{dataset_id}
Get a dataset
curl --request GET \
  --url https://api.arize.com/v2/datasets/{dataset_id} \
  --header 'Authorization: Bearer <token>'
{
  "id": "<string>",
  "name": "<string>",
  "space_id": "<string>",
  "created_at": "2023-11-07T05:31:56Z",
  "updated_at": "2023-11-07T05:31:56Z",
  "versions": [
    {
      "id": "<string>",
      "name": "<string>",
      "dataset_id": "<string>",
      "created_at": "2023-11-07T05:31:56Z",
      "updated_at": "2023-11-07T05:31:56Z"
    }
  ]
}

Authorizations

​
Authorization
string
header
required

Most Arize AI endpoints require authentication. For those endpoints that require authentication, include your API key in the request header using the format

Authorization: Bearer <api-key>

Path Parameters

​
dataset_id
string
required

The unique identifier of the dataset A universally unique identifier

Response

A dataset object

A dataset is a structured collection of examples used to test and evaluate LLM applications. Datasets allow you to test models consistently across any real-world scenarios and edge cases, quickly identify regressions, and track measurable improvements.

​
id
string
required

Unique identifier for the dataset

​
name
string
required

Name of the dataset

​
space_id
string
required

Unique identifier for the space this dataset belongs to

​
created_at
string<date-time>
required

Timestamp for when the dataset was created

​
updated_at
string<date-time>
required

Timestamp for the last update of the dataset

​
versions
object[]

List of versions associated with this dataset