2008 ford world women 's curling championship
of the teams that won less than 50 ends germany achieved the most stolen ends , 14 .
{'scope': 'subset', 'row': '9', 'col': '6', 'order': '1', 'col_other': '1', 'max_or_min': 'max_to_min', 'value_mentioned': 'yes', 'subset': {'col': '3', 'criterion': 'less_than', 'value': '50'}}
{'func': 'and', 'args': [{'func': 'eq', 'args': [{'func': 'nth_max', 'args': [{'func': 'filter_less', 'args': ['all_rows', 'ends won', '50'], 'result': None, 'ind': 0, 'tostr': 'filter_less { all_rows ; ends won ; 50 }', 'tointer': 'select the rows whose ends won record is less than 50 .'}, 'stolen ends', '1'], 'result': '14', 'ind': 1, 'tostr': 'nth_max { filter_less { all_rows ; ends won ; 50 } ; stolen ends ; 1 }', 'tointer': 'select the rows whose ends won record is less than 50 . the 1st maximum stolen ends record of these rows is 14 .'}, '14'], 'result': True, 'ind': 2, 'tostr': 'eq { nth_max { filter_less { all_rows ; ends won ; 50 } ; stolen ends ; 1 } ; 14 }', 'tointer': 'select the rows whose ends won record is less than 50 . the 1st maximum stolen ends record of these rows is 14 .'}, {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmax', 'args': [{'func': 'filter_less', 'args': ['all_rows', 'ends won', '50'], 'result': None, 'ind': 0, 'tostr': 'filter_less { all_rows ; ends won ; 50 }', 'tointer': 'select the rows whose ends won record is less than 50 .'}, 'stolen ends', '1'], 'result': None, 'ind': 3, 'tostr': 'nth_argmax { filter_less { all_rows ; ends won ; 50 } ; stolen ends ; 1 }'}, 'locale'], 'result': 'germany', 'ind': 4, 'tostr': 'hop { nth_argmax { filter_less { all_rows ; ends won ; 50 } ; stolen ends ; 1 } ; locale }'}, 'germany'], 'result': True, 'ind': 5, 'tostr': 'eq { hop { nth_argmax { filter_less { all_rows ; ends won ; 50 } ; stolen ends ; 1 } ; locale } ; germany }', 'tointer': 'the locale record of the row with 1st maximum stolen ends record is germany .'}], 'result': True, 'ind': 6, 'tostr': 'and { eq { nth_max { filter_less { all_rows ; ends won ; 50 } ; stolen ends ; 1 } ; 14 } ; eq { hop { nth_argmax { filter_less { all_rows ; ends won ; 50 } ; stolen ends ; 1 } ; locale } ; germany } } = true', 'tointer': 'select the rows whose ends won record is less than 50 . the 1st maximum stolen ends record of these rows is 14 . the locale record of the row with 1st maximum stolen ends record is germany .'}
and { eq { nth_max { filter_less { all_rows ; ends won ; 50 } ; stolen ends ; 1 } ; 14 } ; eq { hop { nth_argmax { filter_less { all_rows ; ends won ; 50 } ; stolen ends ; 1 } ; locale } ; germany } } = true
select the rows whose ends won record is less than 50 . the 1st maximum stolen ends record of these rows is 14 . the locale record of the row with 1st maximum stolen ends record is germany .
{'and_6': 'and', 'result_7': 'true', 'eq_2': 'eq', 'nth_max_1': 'nth_max', 'filter_less_0': 'filter_less', 'all_rows_8': 'all_rows', 'ends won_9': 'ends won', '50_10': '50', 'stolen ends_11': 'stolen ends', '1_12': '1', '14_13': '14', 'str_eq_5': 'str_eq', 'str_hop_4': 'str_hop', 'nth_argmax_3': 'nth_argmax', 'stolen ends_14': 'stolen ends', '1_15': '1', 'locale_16': 'locale', 'germany_17': 'germany'}
['locale', 'skip', 'ends won', 'ends lost', 'blank ends', 'stolen ends', 'shot %']
[['china', 'wang bingyu', '57', '43', '6', '18', '80 %'], ['canada', 'jennifer jones', '46', '43', '13', '9', '84 %'], ['switzerland', 'mirjam ott', '51', '46', '7', '11', '81 %'], ['japan', 'moe meguro', '49', '45', '17', '13', '77 %'], ['denmark', 'angelina jensen', '44', '51', '16', '7', '79 %'], ['sweden', 'stina viktorsson', '45', '51', '10', '7', '80 %'], ['united states', 'debbie mccormick', '51', '52', '6', '13', '78 %'], ['russia', 'ludmila privivkova', '45', '48', '11', '12', '78 %'], ['germany', 'andrea schöpp', '49', '45', '17', '14', '77 %'], ['scotland', 'gail munro', '43', '48', '17', '8', '77 %'], ['italy', 'diana gaspari', '45', '47', '14', '10', '74 %'], ['czech republic', 'kateřina urbanová', '40', '46', '16', '10', '72 %']]