[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-07-31 UTC."],[],[],null,["# Method: datasets.assess\n\n**Full name**: projects.locations.datasets.assess\n\nAssesses the state or validity of the dataset with respect to a given use case. \n\n### Endpoint\n\npost `https:``/``/{service-endpoint}``/v1beta1``/{name}:assess` \nWhere `{service-endpoint}` is one of the [supported service endpoints](/vertex-ai/docs/reference/rest#rest_endpoints).\n\n### Path parameters\n\n`name` `string` \nRequired. The name of the Dataset resource. Used only for MULTIMODAL datasets. Format: `projects/{project}/locations/{location}/datasets/{dataset}`\n\n### Request body\n\nThe request body contains data with the following structure:\nFields `geminiRequestReadConfig` `object (`[GeminiRequestReadConfig](/vertex-ai/docs/reference/rest/v1beta1/GeminiRequestReadConfig)`)` \nOptional. The Gemini request read config for the dataset. \n`assessment_config` `Union type` \nThe assessment type. `assessment_config` can be only one of the following:\n`tuningValidationAssessmentConfig` `object (`[TuningValidationAssessmentConfig](/vertex-ai/docs/reference/rest/v1beta1/projects.locations.datasets/assess#TuningValidationAssessmentConfig)`)` \nOptional. Configuration for the tuning validation assessment.\n`tuningResourceUsageAssessmentConfig` `object (`[TuningResourceUsageAssessmentConfig](/vertex-ai/docs/reference/rest/v1beta1/projects.locations.datasets/assess#TuningResourceUsageAssessmentConfig)`)` \nOptional. Configuration for the tuning resource usage assessment.\n`batchPredictionValidationAssessmentConfig` `object (`[BatchPredictionValidationAssessmentConfig](/vertex-ai/docs/reference/rest/v1beta1/projects.locations.datasets/assess#BatchPredictionValidationAssessmentConfig)`)` \nOptional. Configuration for the batch prediction validation assessment.\n`batchPredictionResourceUsageAssessmentConfig` `object (`[BatchPredictionResourceUsageAssessmentConfig](/vertex-ai/docs/reference/rest/v1beta1/projects.locations.datasets/assess#BatchPredictionResourceUsageAssessmentConfig)`)` \nOptional. Configuration for the batch prediction resource usage assessment. \n\n### Response body\n\nIf successful, the response body contains an instance of [Operation](/vertex-ai/docs/reference/rest/Shared.Types/ListOperationsResponse#Operation).\n\nTuningValidationAssessmentConfig\n--------------------------------\n\nConfiguration for the tuning validation assessment.\nFields `modelName` `string` \nRequired. The name of the model used for tuning.\n`datasetUsage` `enum (`[DatasetUsage](/vertex-ai/docs/reference/rest/v1beta1/projects.locations.datasets/assess#DatasetUsage)`)` \nRequired. The dataset usage (e.g. training/validation). \n\nDatasetUsage\n------------\n\nThe dataset usage (e.g. training/validation).\n\nTuningResourceUsageAssessmentConfig\n-----------------------------------\n\nConfiguration for the tuning resource usage assessment.\nFields `modelName` `string` \nRequired. The name of the model used for tuning. \n\nBatchPredictionValidationAssessmentConfig\n-----------------------------------------\n\nConfiguration for the batch prediction validation assessment.\nFields `modelName` `string` \nRequired. The name of the model used for batch prediction. \n\nBatchPredictionResourceUsageAssessmentConfig\n--------------------------------------------\n\nConfiguration for the batch prediction resource usage assessment.\nFields `modelName` `string` \nRequired. The name of the model used for batch prediction."]]
