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In Azure Machine Learning, datastores serve as abstractions for cloud data sources, encapsulating the necessary connection details. Using the Azure Machine Learning SDK, you can interact with these datastores to upload or download data. Datasets are typically derived from datastore files, but they can also originate from URLs and other sources. Question: Which dataset type is characterized by the following description? "A tabular dataset can be passed in this manner. When using this approach, the script receives the dataset's unique ID within your workspace. The script can then retrieve the workspace from the run context and use it to access the dataset by its ID."