economy of europe
there are less people in paris than there are living in london .
{'row_1': '1', 'row_2': '2', 'col': '5', 'col_other': '2', 'relation': 'less', 'record_mentioned': 'no', 'diff_result': None}
{'func': 'less', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'city', 'paris'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose city record fuzzily matches to paris .', 'tostr': 'filter_eq { all_rows ; city ; paris }'}, 'population m ( luz )'], 'result': None, 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; city ; paris } ; population m ( luz ) }', 'tointer': 'select the rows whose city record fuzzily matches to paris . take the population m ( luz ) record of this row .'}, {'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'city', 'london'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose city record fuzzily matches to london .', 'tostr': 'filter_eq { all_rows ; city ; london }'}, 'population m ( luz )'], 'result': None, 'ind': 3, 'tostr': 'hop { filter_eq { all_rows ; city ; london } ; population m ( luz ) }', 'tointer': 'select the rows whose city record fuzzily matches to london . take the population m ( luz ) record of this row .'}], 'result': True, 'ind': 4, 'tostr': 'less { hop { filter_eq { all_rows ; city ; paris } ; population m ( luz ) } ; hop { filter_eq { all_rows ; city ; london } ; population m ( luz ) } } = true', 'tointer': 'select the rows whose city record fuzzily matches to paris . take the population m ( luz ) record of this row . select the rows whose city record fuzzily matches to london . take the population m ( luz ) record of this row . the first record is less than the second record .'}
less { hop { filter_eq { all_rows ; city ; paris } ; population m ( luz ) } ; hop { filter_eq { all_rows ; city ; london } ; population m ( luz ) } } = true
select the rows whose city record fuzzily matches to paris . take the population m ( luz ) record of this row . select the rows whose city record fuzzily matches to london . take the population m ( luz ) 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', 'city_7': 'city', 'paris_8': 'paris', 'population m (luz)_9': 'population m ( luz )', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'city_11': 'city', 'london_12': 'london', 'population m (luz)_13': 'population m ( luz )'}
['rank', 'city', 'state', 'gdp in id b', 'population m ( luz )', 'gdp per capita id k', 'eurozone']
[['1', 'paris', 'france', '731', '11.5', '62.4', 'y'], ['2', 'london', 'united kingdom', '565', '11.9', '49.4', 'n'], ['3', 'moscow', 'russia', '321', '10.5', '30.6', 'n'], ['4', 'madrid', 'spain', '230', '5.80', '39.7', 'y'], ['5', 'istanbul', 'turkey', '187', '13.2', '14.2', 'n'], ['6', 'barcelona', 'spain', '177', '4.97', '35.6', 'y'], ['7', 'rome', 'italy', '144', '3.46', '41.6', 'y'], ['8', 'milan', 'italy', '136', '3.08', '44.2', 'y'], ['9', 'vienna', 'austria', '122', '2.18', '56.0', 'y'], ['10', 'lisbon', 'portugal', '98', '2.44', '40.2', 'y'], ['11', 'athens', 'greece', '96', '4.01', '23.9', 'y'], ['12', 'berlin', 'germany', '95', '4.97', '19.1', 'y']]