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

# Get dataset overview

> Obtains the basic information about the dataset, including the keywords, description, and pre-generated questions.



## OpenAPI

````yaml get /v1/team/datasets/{datasetId}/overview
openapi: 3.0.1
info:
  title: Team Open API
  description: ''
  version: 1.0.0
servers:
  - url: https://ai.data.cloud/api
    description: 体验环境
security: []
tags:
  - name: Session
  - name: Dataset
  - name: Data source
  - name: File
  - name: Job
paths:
  /v1/team/datasets/{datasetId}/overview:
    get:
      tags:
        - Dataset
      summary: Get dataset overview
      description: >-
        Obtains the basic information about the dataset, including the keywords,
        description, and pre-generated questions.
      parameters:
        - name: datasetId
          in: path
          description: The ID of the dataset you want to view.
          required: true
          schema:
            type: string
        - name: x-pd-external-trace-id
          in: header
          description: The external trace ID. The length ranges from 0 to 128 characters.
          required: false
          example: ''
          schema:
            type: string
      responses:
        '200':
          description: ''
          content:
            application/json:
              schema:
                type: object
                properties:
                  code:
                    $ref: 06faf240-a337-465b-a235-1335f49bfa4f
                    required:
                      - code
                  data:
                    type: object
                    properties:
                      id:
                        type: string
                        description: The dataset ID, which uniquely identifies the dataset.
                      name:
                        type: string
                        description: The dataset name.
                      description:
                        type: string
                        description: The dataset description.
                      summary:
                        type: string
                        description: Summary about data sources in the dataset.
                      explorationQuestions:
                        type: array
                        items:
                          type: string
                        description: >-
                          Pre-generated questions for you to explore the
                          dataset.
                      keywords:
                        type: array
                        items:
                          type: string
                        description: >-
                          Keywords that provide insight into the dataset's
                          content.
                    required:
                      - id
                      - name
                      - description
                      - summary
                      - explorationQuestions
                      - keywords
                required:
                  - code
                  - data
              examples:
                '1':
                  summary: success example
                  value:
                    code:
                      code: 0
                    data:
                      id: dset-cm5axptyyxxx298
                      name: sales_indicators_2024
                      description: >-
                        A dataset comprising 373 travel bookings with 15
                        attributes, offering insights into booking patterns,
                        pricing strategies, and more
                      summary: >-
                        This dataset contains 373 travel bookings with 15
                        attributes, enabling analysis of booking trends, pricing
                        strategies, and travel agency dynamics.
                      explorationQuestions:
                        - >-
                          How does the booking price trend over time based on
                          the BookingTimestamp?
                        - >-
                          How does the average booking price change with respect
                          to the TravelDate?
                        - >-
                          Are there any significant outliers in the booking
                          prices, and what might be causing them?
                        - >-
                          How does the average price vary between one-way and
                          round-trip bookings?
                      keywords:
                        - Travel Bookings
                        - Booking Trends
                        - Travel Agencies
          headers: {}
      deprecated: false
      security: []

````