创建数据集

为给定的 Google Cloud 项目创建数据集。

深入探索

如需查看包含此代码示例的详细文档，请参阅以下内容：

• 创建数据集

代码示例

Java

如需了解如何安装和使用 Data Labeling Service 客户端库，请参阅 Data Labeling Service 客户端库。 如需了解详情，请参阅 Data Labeling Service Java API 参考文档。

如需向 Data Labeling Service 进行身份验证，请设置应用默认凭据。 如需了解详情，请参阅为本地开发环境设置身份验证。

import com.google.cloud.datalabeling.v1beta1.CreateDatasetRequest;
import com.google.cloud.datalabeling.v1beta1.DataLabelingServiceClient;
import com.google.cloud.datalabeling.v1beta1.DataLabelingServiceSettings;
import com.google.cloud.datalabeling.v1beta1.Dataset;
import com.google.cloud.datalabeling.v1beta1.ProjectName;
import java.io.IOException;

class CreateDataset {

  // Create a dataset that is initially empty.
  static void createDataset(String projectId, String datasetName) throws IOException {
    // String projectId = "YOUR_PROJECT_ID";
    // String datasetName = "YOUR_DATASET_DISPLAY_NAME";


    DataLabelingServiceSettings settings =
        DataLabelingServiceSettings.newBuilder()
            .build();
    try (DataLabelingServiceClient dataLabelingServiceClient =
        DataLabelingServiceClient.create(settings)) {
      ProjectName projectName = ProjectName.of(projectId);

      Dataset dataset =
          Dataset.newBuilder()
              .setDisplayName(datasetName)
              .setDescription("YOUR_DESCRIPTION")
              .build();

      CreateDatasetRequest createDatasetRequest =
          CreateDatasetRequest.newBuilder()
              .setParent(projectName.toString())
              .setDataset(dataset)
              .build();

      Dataset createdDataset = dataLabelingServiceClient.createDataset(createDatasetRequest);

      System.out.format("Name: %s\n", createdDataset.getName());
      System.out.format("DisplayName: %s\n", createdDataset.getDisplayName());
      System.out.format("Description: %s\n", createdDataset.getDescription());
    } catch (IOException e) {
      e.printStackTrace();
    }
  }
}

Python

如需了解如何安装和使用 Data Labeling Service 客户端库，请参阅 Data Labeling Service 客户端库。 有关详情，请参阅 Data Labeling Service Python API 参考文档。

如需向 Data Labeling Service 进行身份验证，请设置应用默认凭据。 如需了解详情，请参阅为本地开发环境设置身份验证。

def create_dataset(project_id):
    """Creates a dataset for the given Google Cloud project."""
    from google.cloud import datalabeling_v1beta1 as datalabeling

    client = datalabeling.DataLabelingServiceClient()

    formatted_project_name = f"projects/{project_id}"

    dataset = datalabeling.Dataset(
        display_name="YOUR_DATASET_SET_DISPLAY_NAME", description="YOUR_DESCRIPTION"
    )

    response = client.create_dataset(
        request={"parent": formatted_project_name, "dataset": dataset}
    )

    # The format of resource name:
    # project_id/{project_id}/datasets/{dataset_id}
    print(f"The dataset resource name: {response.name}")
    print(f"Display name: {response.display_name}")
    print(f"Description: {response.description}")
    print("Create time:")
    print(f"\tseconds: {response.create_time.timestamp_pb().seconds}")
    print(f"\tnanos: {response.create_time.timestamp_pb().nanos}\n")

    return response

后续步骤

如需搜索和过滤其他 Google Cloud 产品的代码示例，请参阅 Google Cloud 示例浏览器。