kashmir
azad kashmir area has only 1 % more residents that practice muslim than gilgit-baltistan .
{'row_1': '4', 'row_2': '5', 'col': '3', 'col_other': '1', 'relation': 'diff', 'record_mentioned': 'no', 'diff_result': {'diff_value': '1 %', 'bigger': 'row1'}}
{'func': 'eq', 'args': [{'func': 'diff', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'area', 'azad kashmir'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose area record fuzzily matches to azad kashmir .', 'tostr': 'filter_eq { all_rows ; area ; azad kashmir }'}, '% muslim'], 'result': None, 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; area ; azad kashmir } ; % muslim }', 'tointer': 'select the rows whose area record fuzzily matches to azad kashmir . take the % muslim record of this row .'}, {'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'area', 'gilgit - baltistan'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose area record fuzzily matches to gilgit - baltistan .', 'tostr': 'filter_eq { all_rows ; area ; gilgit - baltistan }'}, '% muslim'], 'result': None, 'ind': 3, 'tostr': 'hop { filter_eq { all_rows ; area ; gilgit - baltistan } ; % muslim }', 'tointer': 'select the rows whose area record fuzzily matches to gilgit - baltistan . take the % muslim record of this row .'}], 'result': '1 %', 'ind': 4, 'tostr': 'diff { hop { filter_eq { all_rows ; area ; azad kashmir } ; % muslim } ; hop { filter_eq { all_rows ; area ; gilgit - baltistan } ; % muslim } }'}, '1 %'], 'result': True, 'ind': 5, 'tostr': 'eq { diff { hop { filter_eq { all_rows ; area ; azad kashmir } ; % muslim } ; hop { filter_eq { all_rows ; area ; gilgit - baltistan } ; % muslim } } ; 1 % } = true', 'tointer': 'select the rows whose area record fuzzily matches to azad kashmir . take the % muslim record of this row . select the rows whose area record fuzzily matches to gilgit - baltistan . take the % muslim record of this row . the first record is 1 % larger than the second record .'}
eq { diff { hop { filter_eq { all_rows ; area ; azad kashmir } ; % muslim } ; hop { filter_eq { all_rows ; area ; gilgit - baltistan } ; % muslim } } ; 1 % } = true
select the rows whose area record fuzzily matches to azad kashmir . take the % muslim record of this row . select the rows whose area record fuzzily matches to gilgit - baltistan . take the % muslim record of this row . the first record is 1 % larger than the second record .
{'str_eq_5': 'str_eq', 'result_6': 'true', 'diff_4': 'diff', 'str_hop_2': 'str_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_7': 'all_rows', 'area_8': 'area', 'azad kashmir_9': 'azad kashmir', '% muslim_10': '% muslim', 'str_hop_3': 'str_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_11': 'all_rows', 'area_12': 'area', 'gilgit - baltistan_13': 'gilgit - baltistan', '% muslim_14': '% muslim', '1%_15': '1 %'}
['area', 'population', '% muslim', '% hindu', '% buddhist', '% other']
[['kashmir valley', '~ 4 million ( 4 million )', '95 %', '4 %', '-', '-'], ['jammu', '~ 3 million ( 3 million )', '30 %', '66 %', '-', '4 %'], ['ladakh', '~ 0.25 million ( 250000 )', '46 %', '-', '50 %', '3 %'], ['azad kashmir', '~ 2.6 million ( 2.6 million )', '100 %', '-', '-', '-'], ['gilgit - baltistan', '~ 1 million ( 1 million )', '99 %', '-', '-', '-'], ['aksai chin', '-', '-', '-', '-', '-']]