banking and insurance in iran
the assets score for mellat bank is lower than the bank of industry and mine .
{'row_1': '4', 'row_2': '3', 'col': '7', 'col_other': '1', 'relation': 'less', 'record_mentioned': 'no', 'diff_result': None}
{'func': 'less', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'bank', 'mellat bank'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose bank record fuzzily matches to mellat bank .', 'tostr': 'filter_eq { all_rows ; bank ; mellat bank }'}, 'total assets ( score )'], 'result': None, 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; bank ; mellat bank } ; total assets ( score ) }', 'tointer': 'select the rows whose bank record fuzzily matches to mellat bank . take the total assets ( score ) record of this row .'}, {'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'bank', 'bank of industry and mine'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose bank record fuzzily matches to bank of industry and mine .', 'tostr': 'filter_eq { all_rows ; bank ; bank of industry and mine }'}, 'total assets ( score )'], 'result': None, 'ind': 3, 'tostr': 'hop { filter_eq { all_rows ; bank ; bank of industry and mine } ; total assets ( score ) }', 'tointer': 'select the rows whose bank record fuzzily matches to bank of industry and mine . take the total assets ( score ) record of this row .'}], 'result': True, 'ind': 4, 'tostr': 'less { hop { filter_eq { all_rows ; bank ; mellat bank } ; total assets ( score ) } ; hop { filter_eq { all_rows ; bank ; bank of industry and mine } ; total assets ( score ) } } = true', 'tointer': 'select the rows whose bank record fuzzily matches to mellat bank . take the total assets ( score ) record of this row . select the rows whose bank record fuzzily matches to bank of industry and mine . take the total assets ( score ) record of this row . the first record is less than the second record .'}
less { hop { filter_eq { all_rows ; bank ; mellat bank } ; total assets ( score ) } ; hop { filter_eq { all_rows ; bank ; bank of industry and mine } ; total assets ( score ) } } = true
select the rows whose bank record fuzzily matches to mellat bank . take the total assets ( score ) record of this row . select the rows whose bank record fuzzily matches to bank of industry and mine . take the total assets ( score ) record of this row . the first record is less than the second record .
{'less_4': 'less', 'result_5': 'true', 'num_hop_2': 'num_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'bank_7': 'bank', 'mellat bank_8': 'mellat bank', 'total assets (score)_9': 'total assets ( score )', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'bank_11': 'bank', 'bank of industry and mine_12': 'bank of industry and mine', 'total assets (score)_13': 'total assets ( score )'}
['bank', 'score ( iran )', 'score ( global )', 'banking power / capital base ( million )', 'banking power / capital base ( % change )', 'total assets ( million )', 'total assets ( score )', 'total assets ( % change )', 'credibility / capital to assets ratio ( % )', 'credibility / capital to assets ratio ( score )', 'performance / return on capital ( % )', 'performance / return on capital ( score )', 'return on assets ( % )', 'return on assets ( score )']
[['bank saderat iran', '1', '259', '3109', '4.46', '54877', '3', '14.22', '5.66', '7', '25.63', '8', '1.45', '7'], ['pasargad bank', '2', '266', '3057', '147.7', '18057', '8', '47.41', '16.93', '3', '20.69', '9', '3.5', '2'], ['bank of industry and mine', '3', '310', '2550', '- 2.16', '9432', '10', '12.1', '27.04', '2', '3.2', '13', '0.87', '10'], ['mellat bank', '4', '320', '2402', 'nm', '68370', '2', 'nm', '3.51', '12', '32.59', '15', '1.14', '9'], ['tejarat bank', '5', '350', '2103', '13.6', '68370', '4', '18.65', '4.66', '9', '27.14', '7', '1.26', '8']]