volleyball at the 2006 asian games
at the 2006 asian games , japan won 2 more silver medals in volleyball than indonesia won .
{'row_1': '3', 'row_2': '5', 'col': '4', 'col_other': '2', 'relation': 'greater', 'record_mentioned': 'no', 'diff_result': None}
{'func': 'greater', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'nation', 'japan ( jpn )'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose nation record fuzzily matches to japan ( jpn ) .', 'tostr': 'filter_eq { all_rows ; nation ; japan ( jpn ) }'}, 'silver'], 'result': None, 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; nation ; japan ( jpn ) } ; silver }', 'tointer': 'select the rows whose nation record fuzzily matches to japan ( jpn ) . take the silver record of this row .'}, {'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'nation', 'indonesia ( ina )'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose nation record fuzzily matches to indonesia ( ina ) .', 'tostr': 'filter_eq { all_rows ; nation ; indonesia ( ina ) }'}, 'silver'], 'result': None, 'ind': 3, 'tostr': 'hop { filter_eq { all_rows ; nation ; indonesia ( ina ) } ; silver }', 'tointer': 'select the rows whose nation record fuzzily matches to indonesia ( ina ) . take the silver record of this row .'}], 'result': True, 'ind': 4, 'tostr': 'greater { hop { filter_eq { all_rows ; nation ; japan ( jpn ) } ; silver } ; hop { filter_eq { all_rows ; nation ; indonesia ( ina ) } ; silver } } = true', 'tointer': 'select the rows whose nation record fuzzily matches to japan ( jpn ) . take the silver record of this row . select the rows whose nation record fuzzily matches to indonesia ( ina ) . take the silver record of this row . the first record is greater than the second record .'}
greater { hop { filter_eq { all_rows ; nation ; japan ( jpn ) } ; silver } ; hop { filter_eq { all_rows ; nation ; indonesia ( ina ) } ; silver } } = true
select the rows whose nation record fuzzily matches to japan ( jpn ) . take the silver record of this row . select the rows whose nation record fuzzily matches to indonesia ( ina ) . take the silver record of this row . the first record is greater than the second record .
{'greater_4': 'greater', 'result_5': 'true', 'num_hop_2': 'num_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'nation_7': 'nation', 'japan (jpn)_8': 'japan ( jpn )', 'silver_9': 'silver', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'nation_11': 'nation', 'indonesia (ina)_12': 'indonesia ( ina )', 'silver_13': 'silver'}
['rank', 'nation', 'gold', 'silver', 'bronze', 'total']
[['1', 'china ( chn )', '3', '2', '1', '6'], ['2', 'south korea ( kor )', '1', '0', '0', '1'], ['3', 'japan ( jpn )', '0', '2', '0', '2'], ['4', 'chinese taipei ( tpe )', '0', '0', '1', '1'], ['4', 'indonesia ( ina )', '0', '0', '1', '1'], ['4', 'saudi arabia ( ksa )', '0', '0', '1', '1'], ['total', 'total', '4', '4', '4', '12']]