list of cold feet episodes
during the first five episodes of cold feet , episode 4 had more viewers than episode 2 .
{'row_1': '4', 'row_2': '2', 'col': '5', 'col_other': '2', 'relation': 'greater', 'record_mentioned': 'no', 'diff_result': None}
{'func': 'greater', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'episode', 'episode 4'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose episode record fuzzily matches to episode 4 .', 'tostr': 'filter_eq { all_rows ; episode ; episode 4 }'}, 'viewers ( millions )'], 'result': None, 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; episode ; episode 4 } ; viewers ( millions ) }', 'tointer': 'select the rows whose episode record fuzzily matches to episode 4 . take the viewers ( millions ) record of this row .'}, {'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'episode', 'episode 2'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose episode record fuzzily matches to episode 2 .', 'tostr': 'filter_eq { all_rows ; episode ; episode 2 }'}, 'viewers ( millions )'], 'result': None, 'ind': 3, 'tostr': 'hop { filter_eq { all_rows ; episode ; episode 2 } ; viewers ( millions ) }', 'tointer': 'select the rows whose episode record fuzzily matches to episode 2 . take the viewers ( millions ) record of this row .'}], 'result': True, 'ind': 4, 'tostr': 'greater { hop { filter_eq { all_rows ; episode ; episode 4 } ; viewers ( millions ) } ; hop { filter_eq { all_rows ; episode ; episode 2 } ; viewers ( millions ) } } = true', 'tointer': 'select the rows whose episode record fuzzily matches to episode 4 . take the viewers ( millions ) record of this row . select the rows whose episode record fuzzily matches to episode 2 . take the viewers ( millions ) record of this row . the first record is greater than the second record .'}
greater { hop { filter_eq { all_rows ; episode ; episode 4 } ; viewers ( millions ) } ; hop { filter_eq { all_rows ; episode ; episode 2 } ; viewers ( millions ) } } = true
select the rows whose episode record fuzzily matches to episode 4 . take the viewers ( millions ) record of this row . select the rows whose episode record fuzzily matches to episode 2 . take the viewers ( millions ) record of this row . the first record is greater than the second record .
{'greater_4': 'greater', 'result_5': 'true', 'num_hop_2': 'num_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'episode_7': 'episode', 'episode 4_8': 'episode 4', 'viewers (millions)_9': 'viewers ( millions )', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'episode_11': 'episode', 'episode 2_12': 'episode 2', 'viewers (millions)_13': 'viewers ( millions )'}
['no', 'episode', 'writer', 'director', 'viewers ( millions )', 'original airdate']
[['1', 'episode 1', 'mike bullen', 'declan lowney', '7.47', '15 november 1998'], ['2', 'episode 2', 'mike bullen', 'declan lowney', '7.33', '22 november 1998'], ['3', 'episode 3', 'mike bullen', 'mark mylod', '7.46', '29 november 1998'], ['4', 'episode 4', 'mike bullen', 'mark mylod', '7.44', '6 december 1998'], ['5', 'episode 5', 'mike bullen', 'nigel cole', '7.91', '13 december 1998']]