{
    "action": "final",
    "content": "The Iris dataset contains **10 columns** across 150 rows. Here's what each column represents:\n\n## Measurement Columns (Features)\nThese are the physical measurements of iris flowers, all in centimeters:\n\n- **SepalLengthCm** (DOUBLE) — Length of the sepal (the outer protective leaf)\n- **SepalWidthCm** (DOUBLE) — Width of the sepal\n- **PetalLengthCm** (DOUBLE) — Length of the petal (the colorful inner leaf)\n- **PetalWidthCm** (DOUBLE) — Width of the petal\n\n## Classification Column\n- **Species** (VARCHAR) — The iris species, with 3 distinct values: Iris-setosa, Iris-versicolor, and Iris-virginica\n\n## Identifier\n- **Id** (BIGINT) — A unique row identifier ranging from 1 to 150\n\n## Metadata Columns\nThese track data ingestion and are constant across all rows:\n\n- **_ingestion_timestamp** (TIMESTAMP) — When the data was loaded (2026-08-12 19:38:25)\n- **_batch_id** (VARCHAR) — The ingestion batch identifier\n- **_source_file** (VARCHAR) — Original CSV file path\n- **_source_system** (VARCHAR) — Source system (\"api\")\n\nThe dataset has **no missing values** (nulls=0 for all columns). The four measurement columns are the primary features used to classify iris flowers into their three species."
}