You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table

Table: ['Week', 'Date', 'Opponent', 'Score', 'Result', 'Attendance', 'Record']. ['1', 'Thursday, Aug 11', 'vs. Winnipeg Blue Bombers', '35-21', 'Loss', '31,837', '0-1']. ['2', 'Monday, Aug 15', 'at Edmonton Eskimos', '33-14', 'Loss', '17,500', '0-2']. ['3', 'Saturday, Aug 20', 'vs. Saskatchewan Roughriders', '27-12', 'Win', '29,532', '1-2']. ['4', 'Monday, Aug 22', 'at Calgary Stampeders', '26-19', 'Win', 'n/a', '2-2']. ['5', 'Monday, Aug 29', 'vs. Edmonton Eskimos', '26-0', 'Loss', '28,420', '2-3']. ['6', 'Thursday, Sept 1', 'at Winnipeg Blue Bombers', '19-14', 'Loss', '18,297', '2-4']. ['7', 'Monday, Sept 5', 'at Saskatchewan Roughriders', '31-21', 'Win', '14,105', '3-4']. ['8', 'Monday, Sept 12', 'vs. Calgary Stampeders', '21-21', 'Tie', '27,759', '3-4-1']. ['9', 'Saturday, Sept 17', 'vs. Winnipeg Blue Bombers', '26-14', 'Loss', '30,292', '3-5-1']. ['10', 'Monday, Sept 19', 'at Edmonton Eskimos', '18-10', 'Loss', 'n/a', '3-6-1']. ['11', 'Saturday, Sept 24', 'at Calgary Stampeders', '28-14', 'Loss', '13,000', '3-7-1']. ['12', 'Thursday, Oct 6', 'vs. Edmonton Eskimos', '21-13', 'Win', '21,707', '4-7-1']. ['13', 'Thursday, Oct 13', 'at Winnipeg Blue Bombers', '49-21', 'Loss', '16,773', '4-8-1']. ['14', 'Saturday, Oct 15', 'at Saskatchewan Roughriders', '14-14', 'Tie', '7,255', '4-8-2']. ['15', 'Saturday, Oct 22', 'vs. Calgary Stampeders', '22-10', 'Loss', '29,599', '4-9-2']. ['16', 'Saturday, Oct 29', 'vs. Saskatchewan Roughriders', '38-0', 'Win', '21,114', '5-9-2']
what were the dates of each game?

Table: ['Rank', 'NPC', 'Gold', 'Silver', 'Bronze', 'Total']. ['1', 'China (CHN)', '95', '71', '65', '231']. ['2', 'Russia (RUS)', '36', '38', '28', '102']. ['3', 'Great Britain (GBR)*', '34', '43', '43', '120']. ['4', 'Ukraine (UKR)', '32', '24', '28', '84']. ['5', 'Australia (AUS)', '32', '23', '30', '85']. ['6', 'United States (USA)', '31', '29', '38', '98']. ['7', 'Brazil (BRA)', '21', '14', '8', '43']. ['8', 'Germany (GER)', '18', '26', '22', '66']. ['9', 'Poland (POL)', '14', '13', '9', '36']. ['10', 'Netherlands (NED)', '10', '10', '19', '39']. ['Total (75 NPCs)', 'Total (75 NPCs)', '503', '503', '516', '1522']
what are the number of bronze medals won by each country?

Table: ['Pos.', 'City', 'Population (ab)', 'Surface (km2)', 'Density (ab/km2)', 'Altitude (mslm)']. ['1st', 'Bergamo', '121.316', '39,6', '3064', '249']. ['2nd', 'Treviglio', '29.334', '31,54', '930', '125']. ['3rd', 'Seriate', '25.036', '12,41', '2017', '247']. ['4th', 'Dalmine', '23.237', '11,6', '2003', '207']. ['5th', 'Romano di Lombardia', '19.472', '18,03', '1080', '120']. ['6th', 'Albino', '18.232', '31,32', '582', '342']. ['7th', 'Caravaggio', '16.258', '32,81', '496', '111']. ['8th', 'Alzano Lombardo', '13.821', '13,43', '1029', '304']. ['9th', 'Stezzano', '12.999', '9,25', '1405', '211']. ['10th', 'Osio Sotto', '12.083', '7,45', '1622', '182']
what are all the cities?