**The dataset has 446 rows across 5 tables, and each table has 9 data columns. It covers funding rounds announced from January to May 2022.** **Size** (from the table overview results, which returned all 5 tables) - January 2022 has 115 rows. - March 2022 has 98 rows. - February 2022 has 96 rows. - April 2022 has 95 rows. - May 2022 has 42 rows. - Together that is 446 rows. - Each table has 9 analytical columns: Company Name, Founded, Location, Sector, What it does, Founders, Investor, Amount, Stage. The raw tables also carry 4 ingestion-metadata columns (`_ingestion_timestamp`, `_batch_id`, `_source_file`, `_source_system`), so 13 columns in total per table. - The tables have no verified join keys, so they are separate monthly files with the same layout rather than one combined table. **Time period** - The period comes from how the data is split, not from a column. There is no funding-date column; each table is one month's announced rounds (the dataset's name and the table names give January–May 2022). - The `Founded` column is the year each company was founded, not a funding date. It ranges from 1871 to 2022 in April, 1991 to 2021 in February, 1998 to 2021 in January, and 1994 to 2022 in March. In May it is stored as text and contains misaligned values such as a city name. - The only date-typed column is `_ingestion_timestamp`, which records when the data was loaded and says nothing about when funding happened. - Per the dataset notes, some May rows are misaligned or blank, so the May count of 42 may include unusable rows.