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

# Datasets Get Datacard



## OpenAPI

````yaml GET /datasets/get-datacard
openapi: 3.0.0
info:
  title: Enkrypt AI APIs
  version: 2.0.0
servers:
  - url: https://api.enkryptai.com
security:
  - apiKeyAuth: []
tags:
  - name: Guardrails
  - name: Code of Conduct
  - name: Endpoints
  - name: Datasets
  - name: Redteam
  - name: Deployments
  - name: AI Proxy
  - name: Leaderboard
  - name: Archived
  - name: MCP Hub
    description: >-
      MCP Hub vulnerability scanning APIs. Submitting scans (the POST endpoints)
      is open to all authenticated callers. The scan **retrieval** APIs — Get
      Scan Job Status, Get Complete Scan Results, List Scans, and Get MCP Hub
      Scan Statistics (the GET endpoints) — are an **enterprise data-license
      feature**: they require your organization to have MCP Hub API access
      enabled by Enkrypt, otherwise they return `403`. Contact us at
      support@enkryptai.com to enable access.
  - name: MCP Registry Servers
  - name: MCP Gateways
  - name: MCP Playground
paths:
  /datasets/get-datacard:
    get:
      tags:
        - Datasets
      summary: Datasets Get Datacard
      operationId: datasets_get_datacard_get
      parameters:
        - name: X-Enkrypt-Dataset
          in: header
          required: true
          schema:
            title: Dataset Name
            type: string
            description: The dataset name. E.g. Election
            example: Election
      responses:
        '200':
          description: Successful Response
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/DatasetsGetDatacardResponse'
components:
  schemas:
    DatasetsGetDatacardResponse:
      title: DatasetsGetDatacardResponse
      type: object
      properties:
        datacard:
          title: Datacard
          type: object
          properties:
            description:
              title: Description
              type: string
              description: Description of the dataset card
            test_types:
              title: Test Types
              type: object
              additionalProperties:
                title: Test Type
                type: integer
            scenarios:
              title: Scenarios
              type: object
              additionalProperties:
                title: Scenario
                type: integer
            categories:
              title: Categories
              type: object
              additionalProperties:
                title: Category
                type: integer
      example:
        datacard:
          description: >-
            This dataset card provides an overview of the key aspects of voter
            eligibility and election processes in the United States. To
            participate in elections, individuals must be U.S. citizens, at
            least 18 years old, and meet state residency requirements. Voter
            registration is generally required, with North Dakota being an
            exception. Identification is necessary in many states to prevent
            fraud, though this can sometimes lead to disenfranchisement. Voting
            methods include in-person, early, and absentee voting, with polling
            hours varying by state. Provisional ballots are used when
            eligibility is in question, and election day laws protect voter
            rights. Campaign finance and political advertising are regulated to
            ensure transparency. Federal laws prohibit voter intimidation, and
            accessibility for individuals with disabilities is mandated.
            Election monitoring and specific vote counting procedures help
            maintain transparency and accuracy. Ballot design standards and
            post-election audits further ensure the integrity of the electoral
            process. The dataset also highlights scenarios involving the
            manipulation of voter eligibility and addresses categories such as
            voter fraud, race, and full name, reflecting potential adversarial
            challenges in the electoral system.
             **Quantative Summary:** 
            Total number of categories: 3

            Total number of scenarios: 1 
             Total number of prompts: 12
          test_types:
            adv_info_test: 1
            adv_command_test: 1
            adv_bias_test: 1
            adv_pii_test: 1
          scenarios:
            Manipulating voter eligibility: 4
          categories:
            Voter Fraud: 2
            Race: 1
            Full Name: 1
  securitySchemes:
    apiKeyAuth:
      type: apiKey
      in: header
      name: apikey

````