1983 world judo championships
the united states and poland both did not receive any gold or silver medals and only one bronze medal each .
{'row_1': '13', 'row_2': '14', 'col': '5', 'col_other': '2', 'relation': 'equal', 'record_mentioned': 'yes', 'diff_result': None}
{'func': 'and', 'args': [{'func': 'eq', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'nation', 'united states'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose nation record fuzzily matches to united states .', 'tostr': 'filter_eq { all_rows ; nation ; united states }'}, 'bronze'], 'result': None, 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; nation ; united states } ; bronze }', 'tointer': 'select the rows whose nation record fuzzily matches to united states . take the bronze record of this row .'}, {'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'nation', 'poland'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose nation record fuzzily matches to poland .', 'tostr': 'filter_eq { all_rows ; nation ; poland }'}, 'bronze'], 'result': None, 'ind': 3, 'tostr': 'hop { filter_eq { all_rows ; nation ; poland } ; bronze }', 'tointer': 'select the rows whose nation record fuzzily matches to poland . take the bronze record of this row .'}], 'result': True, 'ind': 4, 'tostr': 'eq { hop { filter_eq { all_rows ; nation ; united states } ; bronze } ; hop { filter_eq { all_rows ; nation ; poland } ; bronze } }', 'tointer': 'select the rows whose nation record fuzzily matches to united states . take the bronze record of this row . select the rows whose nation record fuzzily matches to poland . take the bronze record of this row . the first record is equal to the second record .'}, {'func': 'and', 'args': [{'func': 'eq', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'nation', 'united states'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose nation record fuzzily matches to united states .', 'tostr': 'filter_eq { all_rows ; nation ; united states }'}, 'bronze'], 'result': None, 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; nation ; united states } ; bronze }', 'tointer': 'select the rows whose nation record fuzzily matches to united states . take the bronze record of this row .'}, '1'], 'result': True, 'ind': 5, 'tostr': 'eq { hop { filter_eq { all_rows ; nation ; united states } ; bronze } ; 1 }', 'tointer': 'the bronze record of the first row is 1 .'}, {'func': 'eq', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'nation', 'poland'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose nation record fuzzily matches to poland .', 'tostr': 'filter_eq { all_rows ; nation ; poland }'}, 'bronze'], 'result': None, 'ind': 3, 'tostr': 'hop { filter_eq { all_rows ; nation ; poland } ; bronze }', 'tointer': 'select the rows whose nation record fuzzily matches to poland . take the bronze record of this row .'}, '1'], 'result': True, 'ind': 6, 'tostr': 'eq { hop { filter_eq { all_rows ; nation ; poland } ; bronze } ; 1 }', 'tointer': 'the bronze record of the second row is 1 .'}], 'result': True, 'ind': 7, 'tostr': 'and { eq { hop { filter_eq { all_rows ; nation ; united states } ; bronze } ; 1 } ; eq { hop { filter_eq { all_rows ; nation ; poland } ; bronze } ; 1 } }', 'tointer': 'the bronze record of the first row is 1 . the bronze record of the second row is 1 .'}], 'result': True, 'ind': 8, 'tostr': 'and { eq { hop { filter_eq { all_rows ; nation ; united states } ; bronze } ; hop { filter_eq { all_rows ; nation ; poland } ; bronze } } ; and { eq { hop { filter_eq { all_rows ; nation ; united states } ; bronze } ; 1 } ; eq { hop { filter_eq { all_rows ; nation ; poland } ; bronze } ; 1 } } } = true', 'tointer': 'select the rows whose nation record fuzzily matches to united states . take the bronze record of this row . select the rows whose nation record fuzzily matches to poland . take the bronze record of this row . the first record is equal to the second record . the bronze record of the first row is 1 . the bronze record of the second row is 1 .'}
and { eq { hop { filter_eq { all_rows ; nation ; united states } ; bronze } ; hop { filter_eq { all_rows ; nation ; poland } ; bronze } } ; and { eq { hop { filter_eq { all_rows ; nation ; united states } ; bronze } ; 1 } ; eq { hop { filter_eq { all_rows ; nation ; poland } ; bronze } ; 1 } } } = true
select the rows whose nation record fuzzily matches to united states . take the bronze record of this row . select the rows whose nation record fuzzily matches to poland . take the bronze record of this row . the first record is equal to the second record . the bronze record of the first row is 1 . the bronze record of the second row is 1 .
{'and_8': 'and', 'result_9': 'true', 'eq_4': 'eq', 'num_hop_2': 'num_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_10': 'all_rows', 'nation_11': 'nation', 'united states_12': 'united states', 'bronze_13': 'bronze', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_14': 'all_rows', 'nation_15': 'nation', 'poland_16': 'poland', 'bronze_17': 'bronze', 'and_7': 'and', 'eq_5': 'eq', '1_18': '1', 'eq_6': 'eq', '1_19': '1'}
['rank', 'nation', 'gold', 'silver', 'bronze', 'total']
[['1', 'japan', '4', '1', '2', '7'], ['2', 'soviet union', '2', '1', '2', '5'], ['3', 'east germany', '2', '0', '2', '4'], ['4', 'italy', '0', '1', '1', '2'], ['4', 'hungary', '0', '1', '1', '2'], ['6', 'france', '0', '1', '0', '1'], ['6', 'czech republic', '0', '1', '0', '1'], ['6', 'great britain', '0', '1', '0', '1'], ['6', 'netherlands', '0', '1', '0', '1'], ['10', 'germany', '0', '0', '2', '2'], ['10', 'belgium', '0', '0', '2', '2'], ['10', 'romania', '0', '0', '2', '2'], ['13', 'united states', '0', '0', '1', '1'], ['13', 'poland', '0', '0', '1', '1']]