```json { "action": "final", "content": "Here are the columns in the `Iris` dataset, along with their data types and meanings:\n\n### Core Data\n* **`Id`** (`BIGINT`): A unique identifier for each flower specimen in the dataset (ranging from 1 to 150).\n* **`SepalLengthCm`** (`DOUBLE`): The length of the flower's sepal, measured in centimeters (ranges from 4.3 to 7.9 cm).\n* **`SepalWidthCm`** (`DOUBLE`): The width of the flower's sepal, measured in centimeters (ranges from 2.0 to 4.4 cm).\n* **`PetalLengthCm`** (`DOUBLE`): The length of the flower's petal, measured in centimeters (ranges from 1.0 to 6.9 cm).\n* **`PetalWidthCm`** (`DOUBLE`): The width of the flower's petal, measured in centimeters (ranges from 0.1 to 2.5 cm).\n* **`Species`** (`VARCHAR`): The specific species of the Iris flower. There are 3 distinct species in this dataset (e.g., *Iris-setosa*, *Iris-virginica*).\n\n### System Metadata\nThese columns are automatically generated during data ingestion and are used for tracking and auditing:\n* **`_ingestion_timestamp`** (`TIMESTAMP`): The exact date and time when the data was loaded into the system.\n* **`_batch_id`** (`VARCHAR`): An identifier for the specific batch process that loaded this data.\n* **`_source_file`** (`VARCHAR`): The file path of the original CSV file from which the data was extracted.\n* **`_source_system`** (`VARCHAR`): The system or method used to source the data (e.g., `api`)." } ```