Create dataset
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    Create dataset

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    Article summary

    Available in Classic and VPC

    Create a new dataset to train the service.

    Note

    To create a dataset, you must have a schema created. Create a schema first through the Create schema API.

    Request

    The following describes the request format for the endpoint. The request format is as follows:

    MethodURI
    POST/datasets

    Request headers

    For headers common to all AiTEMS APIs, see Common AiTEMS headers.

    Request body

    The following describes the request body.

    FieldTypeRequiredDescription
    typeStringRequiredDataset type
    • user | item | interaction
      • user: data containing user information (age, gender, etc.)
      • item: data with product-related information (price, release date, category, etc.)
      • interaction: data that captures the history of interactions between users and products
    nameStringRequiredDataset name
    • 3 to 20 characters, including English letters, numbers, and special characters "_" and "-", and must begin with an English letter
    descriptionStringRequiredDataset description
    • 0 - 100 characters
    schemaNameStringRequiredDataset's schema name
    osInfoObjectRequiredInformation of Object Storage where the data file is stored
    osInfo.regionStringRequiredRegion of Object Storage where the data file is stored
    • KR
    osInfo.bucketStringRequiredBucket name of Object Storage where the data file is stored
    osInfo.keyStringRequiredPath (prefix) of Object Storage where the data file is stored

    Request example

    The following is a sample request.

    curl --location --request POST 'https://aitems.apigw.ntruss.com/api/v1/datasets' \
    --header 'x-ncp-apigw-timestamp: {Timestamp}' \
    --header 'x-ncp-iam-access-key: {Access Key}' \
    --header 'x-ncp-apigw-signature-v2: {API Gateway Signature}' \
    --header 'Content-Type: application/json' \
    --data '{
        "type": "item",
        "name": "item_dataset2",
        "description": "abc",
        "schemaName": "item_schema",
        "osInfo": {
            "region": "KR",
            "bucket": "aitems",
            "key": "bookmarks-items.csv"
        }
    }'
    

    Response

    The following describes the response format.

    Response body

    The following describes the response body.

    FieldTypeRequiredDescription
    datasetIdString-Dataset ID
    typeString-Dataset type
    • user | item | interaction
      • user: data containing user information (age, gender, etc.)
      • item: data with product-related information (price, release date, category, etc.)
      • interaction: data that captures the history of interactions between users and products
    nameString-Dataset name
    descriptionString-Dataset description
    schemaNameString-Dataset schema name
    statusString-Dataset status
    • enable | waiting | processing | upload_failed | disable | deleting
      • enable: training available
      • waiting, processing: pending
      • upload_failed, disable, deleting: upload failure
    osInfoObject-Information of Object Storage where the data file is stored
    osInfo.regionString-Region of Object Storage where the data file is stored
    • KR
    osInfo.bucketString-Bucket name of Object Storage where the data file is stored
    osInfo.keyString-Path (prefix) of Object Storage where the data file is stored
    connectedServicesArray-Information about service using dataset
    createdDateString-Dataset creation date and time
    updatedDateString-Last update date and time of the dataset

    connectedServices

    The following describes connectedServices.

    FieldTypeRequiredDescription
    serviceIdString-Service ID
    nameString-Service name

    Response status codes

    For response status codes common to all AiTEMS APIs, see Common AiTEMS API response status codes.

    Response example

    The following is a sample example.

    {
        "datasetId": "g8rf6******",
        "type": "item",
        "name": "item_dataset",
        "description": "abc",
        "schemaName": "LogInfo",
        "status": "waiting",
        "osInfo": {
            "region": "KR",
            "bucket": "bucket",
            "key": "bookmarks-items.csv"
        },
        "connectedServices": [],
        "createdDate": "2024-07-29T16:46:35.968",
        "updatedDate": "2024-07-29T16:46:35.968"
    }
    

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