2006 east asian judo championships
in the 2006 east asian judo championships , china was the nation with the highest amount of silver medals among teams that won 3 gold medals .
{'scope': 'subset', 'col_superlative': '4', 'row_superlative': '2', 'value_mentioned': 'no', 'max_or_min': 'max', 'other_col': '2,3', 'subset': {'col': '3', 'criterion': 'equal', 'value': '3'}}
{'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmax', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'gold', '3'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; gold ; 3 }', 'tointer': 'select the rows whose gold record is equal to 3 .'}, 'silver'], 'result': None, 'ind': 1, 'tostr': 'argmax { filter_eq { all_rows ; gold ; 3 } ; silver }'}, 'nation'], 'result': 'china', 'ind': 2, 'tostr': 'hop { argmax { filter_eq { all_rows ; gold ; 3 } ; silver } ; nation }'}, 'china'], 'result': True, 'ind': 3, 'tostr': 'eq { hop { argmax { filter_eq { all_rows ; gold ; 3 } ; silver } ; nation } ; china } = true', 'tointer': 'select the rows whose gold record is equal to 3 . select the row whose silver record of these rows is maximum . the nation record of this row is china .'}
eq { hop { argmax { filter_eq { all_rows ; gold ; 3 } ; silver } ; nation } ; china } = true
select the rows whose gold record is equal to 3 . select the row whose silver record of these rows is maximum . the nation record of this row is china .
{'str_eq_3': 'str_eq', 'result_4': 'true', 'str_hop_2': 'str_hop', 'argmax_1': 'argmax', 'filter_eq_0': 'filter_eq', 'all_rows_5': 'all_rows', 'gold_6': 'gold', '3_7': '3', 'silver_8': 'silver', 'nation_9': 'nation', 'china_10': 'china'}
['rank', 'nation', 'gold', 'silver', 'bronze', 'total']
[['1', 'japan', '6', '1', '6', '13'], ['2', 'china', '3', '4', '4', '11'], ['3', 'south korea', '3', '3', '3', '9'], ['4', 'mongolia', '1', '5', '12', '18'], ['5', 'north korea', '1', '1', '2', '4'], ['6', 'chinese taipei', '0', '0', '1', '1'], ['total', 'total', '14', '14', '28', '56']]