forbes global 2000
wal-mart stores was the company that had the highest sales number in the forbes global 2000 .
{'scope': 'all', 'col_superlative': '5', 'row_superlative': '16', 'value_mentioned': 'no', 'max_or_min': 'max', 'other_col': '2', 'subset': None}
{'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmax', 'args': ['all_rows', 'sales ( billion )'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; sales ( billion ) }'}, 'company'], 'result': 'wal - mart stores', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; sales ( billion ) } ; company }'}, 'wal - mart stores'], 'result': True, 'ind': 2, 'tostr': 'eq { hop { argmax { all_rows ; sales ( billion ) } ; company } ; wal - mart stores } = true', 'tointer': 'select the row whose sales ( billion ) record of all rows is maximum . the company record of this row is wal - mart stores .'}
eq { hop { argmax { all_rows ; sales ( billion ) } ; company } ; wal - mart stores } = true
select the row whose sales ( billion ) record of all rows is maximum . the company record of this row is wal - mart stores .
{'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'sales (billion )_5': 'sales ( billion )', 'company_6': 'company', 'wal - mart stores_7': 'wal - mart stores'}
['rank', 'company', 'headquarters', 'industry', 'sales ( billion )', 'profits ( billion )', 'assets ( billion )', 'market value ( billion )']
[['01 1', 'icbc', 'china', 'banking', '134.8', '37.8', '2813.5', '237.3'], ['02 2', 'china construction bank', 'china', 'banking', '113.1', '30.6', '2241.0', '202.0'], ['03 3', 'jpmorgan chase', 'united states', 'banking', '108.2', '21.3', '2359.1', '191.4'], ['04 4', 'general electric', 'united states', 'conglomerate', '147.4', '13.6', '685.3', '243.7'], ['05 5', 'exxon mobil', 'united states', 'oil and gas', '420.7', '44.9', '333.8', '400.4'], ['06 6', 'hsbc', 'united kingdom', 'banking', '104.9', '14.3', '2684.1', '201.3'], ['07 7', 'royal dutch shell', 'netherlands', 'oil and gas', '467.2', '26.6', '360.3', '213.1'], ['08 8', 'agricultural bank of china', 'china', 'banking', '103.0', '23.0', '2124.2', '150.8'], ['09 9', 'berkshire hathaway', 'united states', 'conglomerate', '162.5', '14.8', '427.5', '252.8'], ['09 9', 'petrochina', 'china', 'oil and gas', '308.9', '18.3', '347.8', '261.2'], ['11 11', 'bank of china', 'china', 'banking', '98.1', '22.1', '2033.8', '131.7'], ['12 12', 'wells fargo', 'united states', 'banking', '91.2', '18.9', '1423.0', '201.3'], ['13 13', 'chevron', 'united states', 'oil and gas', '222.6', '26.2', '233.0', '232.5'], ['14 14', 'volkswagen group', 'germany', 'automotive', '254.0', '28.6', '408.2', '94.4'], ['15 15', 'apple', 'united states', 'computer hardware', '164.7', '41.7', '196.1', '416.6'], ['15 15', 'wal - mart stores', 'united states', 'retail', '469.2', '17.0', '203.1', '242.5'], ['17 17', 'gazprom', 'russia', 'oil and gas', '144.0', '40.6', '339.3', '111.4'], ['18 18', 'bp', 'united kingdom', 'oil and gas', '370.9', '11.6', '301.0', '130.4'], ['19 19', 'citigroup', 'united states', 'banking', '90.7', '7.5', '1864.7', '143.6'], ['20 20', 'petrobras', 'brazil', 'oil and gas', '144.1', '11.0', '331.6', '120.7']]