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POST
/
v2
/
datasets
Create a dataset
curl --request POST \
  --url https://api.arize.com/v2/datasets \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "name": "Math Questions Dataset",
  "space_id": "space_12345",
  "examples": [
    {
      "question": "What is 2 + 2?",
      "answer": "4",
      "topic": "arithmetic"
    },
    {
      "question": "What is the square root of 16?",
      "answer": "4",
      "topic": "geometry"
    },
    {
      "question": "If 3x = 12, what is x?",
      "answer": "4",
      "topic": "algebra"
    }
  ]
}
'
{
  "id": "RGF0YXNldDoxOmFCY0Q=",
  "created_at": "2024-01-01T12:00:00Z",
  "updated_at": "2024-01-02T12:00:00Z",
  "name": "Sample Dataset",
  "space_id": "U3BhY2U6MTphQmNE",
  "versions": [
    {
      "id": "RGF0YXNldFZlcnNpb246MTphQmNE",
      "name": "v1.0",
      "dataset_id": "RGF0YXNldDoxOmFCY0Q=",
      "created_at": "2024-01-01T12:00:00Z",
      "updated_at": "2024-01-02T12:00:00Z"
    },
    {
      "id": "RGF0YXNldFZlcnNpb246MjphQmNE",
      "name": "v1.1",
      "dataset_id": "RGF0YXNldDoxOmFCY0Q=",
      "created_at": "2024-02-01T12:00:00Z",
      "updated_at": "2024-02-02T12:00:00Z"
    }
  ]
}

Documentation Index

Fetch the complete documentation index at: https://arize-ax.mintlify.dev/docs/llms.txt

Use this file to discover all available pages before exploring further.

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

Body

application/json

Body containing dataset creation parameters

​
name
string
required

Name of the new dataset

​
space_id
string
required

ID of the space the dataset will belong to

​
examples
object[]
required

Array of examples for the new dataset

Required array length: 1 - 1000 elements

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