{
    "action": "final",
    "content": "**Size:** The dataset has one table, `raw.semi_conductor_se`, with **422,729 rows** and **13 columns**. The row count comes from the query result. The column count comes from the dataset card.\n\nThe 13 columns are:\n- **Identifiers:** `_unnamed_0`, `company_name`, `stock_name`\n- **Date:** `date`\n- **Price and volume measures:** `open`, `high`, `low`, `close`, `volume`\n- **Ingestion metadata:** `_ingestion_timestamp`, `_batch_id`, `_source_file`, `_source_system`\n\n**Time period:** Yes, it covers a period. The `date` column runs from **2012-01-02 to 2025-08-04**, about 13.6 years. It contains **3,537 distinct trading days** and **152 stocks/companies**. The card's classifier estimate of ~149 companies was approximate. The query counted 152 for both `stock_name` and `company_name`.\n\nEach row is one stock on one trading day. Coverage is uneven across stocks, because 152 stocks over 3,537 days would be about 537,000 rows if every stock traded on every day. The 422,729 rows are fewer than that, so some stocks have shorter histories. This is because some stocks probably listed later than 2012."
}