**The dataset has 446 rows across 5 tables, with 9 content columns per table (13 including ingestion metadata). It covers funding announcements from January to May 2022.** **Size** - It is split into one table per month, and each table has the same 9 content columns: Company Name, Founded, Location, Sector, What it does, Founders, Investor, Amount, Stage. - Each table also carries 4 technical ingestion columns (`_ingestion_timestamp`, `_batch_id`, `_source_file`, `_source_system`). Counting those, each table has 13 columns. - The row counts per table in the query results are: - January: 115 - February: 96 - March: 98 - April: 95 - May: 42 - Summed, that is 446 rows, which matches the dataset card. **Time period** - The period comes from the table names, not from a date column. The tables cover January, February, March, April and May 2022, and the dataset title says "January–May 2022". - Within each table, the only year column is `Founded`, the year the company was founded. It ranges from 1871 to 2022 across the tables, so it does not show when the funding round happened. - No column holds a funding date. The only timestamp, `_ingestion_timestamp`, records when the data was loaded. - May is the smallest month at 42 rows. The dataset card notes that some May rows are misaligned or blank, and its `Founded` column is stored as text rather than a number, so May may be incomplete or messier than the other months.