{
    "action": "final",
    "content": "## Dataset Structure\n\nThe Iris dataset contains **150 rows** and **10 columns**.\n\n### Columns Breakdown\nThe 10 columns consist of:\n- **4 measurement columns**: SepalLengthCm, SepalWidthCm, PetalLengthCm, PetalWidthCm (all DOUBLE type)\n- **1 classification column**: Species (VARCHAR, with 3 distinct values)\n- **1 identifier**: Id (BIGINT, ranging 1-150)\n- **4 metadata columns**: _ingestion_timestamp, _batch_id, _source_file, _source_system\n\n### Time Period Coverage\n\n**This dataset does not cover a time period** in the traditional sense. The Iris dataset is a classic botanical dataset containing measurements of iris flowers, not time-series data.\n\nThe only temporal column is `_ingestion_timestamp`, which shows when the data was loaded into the system (2026-08-12 19:38:25.783273). This is a technical metadata field indicating a single ingestion event, not a time dimension of the actual iris flower measurements.\n\nThe dataset represents a snapshot collection of 150 iris flower specimens across 3 species (Iris-setosa, Iris-versicolor, and Iris-virginica), with their physical measurements recorded at a single point in time."
}