1919 - 20 ottawa senators season
during the 1919 - 20 season , the ottawa senators scored more goals in their game on april 1 than they did in their game on march 30 .
{'row_1': '5', 'row_2': '4', 'col': '5', 'col_other': '1', 'relation': 'greater', 'record_mentioned': 'yes', 'diff_result': None}
{'func': 'and', 'args': [{'func': 'greater', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'date', 'april 1'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose date record fuzzily matches to april 1 .', 'tostr': 'filter_eq { all_rows ; date ; april 1 }'}, 'record'], 'result': None, 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; date ; april 1 } ; record }', 'tointer': 'select the rows whose date record fuzzily matches to april 1 . take the record record of this row .'}, {'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'date', 'march 30'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose date record fuzzily matches to march 30 .', 'tostr': 'filter_eq { all_rows ; date ; march 30 }'}, 'record'], 'result': None, 'ind': 3, 'tostr': 'hop { filter_eq { all_rows ; date ; march 30 } ; record }', 'tointer': 'select the rows whose date record fuzzily matches to march 30 . take the record record of this row .'}], 'result': True, 'ind': 4, 'tostr': 'greater { hop { filter_eq { all_rows ; date ; april 1 } ; record } ; hop { filter_eq { all_rows ; date ; march 30 } ; record } }', 'tointer': 'select the rows whose date record fuzzily matches to april 1 . take the record record of this row . select the rows whose date record fuzzily matches to march 30 . take the record record of this row . the first record is greater than the second record .'}, {'func': 'and', 'args': [{'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'date', 'april 1'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose date record fuzzily matches to april 1 .', 'tostr': 'filter_eq { all_rows ; date ; april 1 }'}, 'record'], 'result': None, 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; date ; april 1 } ; record }', 'tointer': 'select the rows whose date record fuzzily matches to april 1 . take the record record of this row .'}, '3 - 2'], 'result': True, 'ind': 5, 'tostr': 'eq { hop { filter_eq { all_rows ; date ; april 1 } ; record } ; 3 - 2 }', 'tointer': 'the record record of the first row is 3 - 2 .'}, {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'date', 'march 30'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose date record fuzzily matches to march 30 .', 'tostr': 'filter_eq { all_rows ; date ; march 30 }'}, 'record'], 'result': None, 'ind': 3, 'tostr': 'hop { filter_eq { all_rows ; date ; march 30 } ; record }', 'tointer': 'select the rows whose date record fuzzily matches to march 30 . take the record record of this row .'}, '2 - 2'], 'result': True, 'ind': 6, 'tostr': 'eq { hop { filter_eq { all_rows ; date ; march 30 } ; record } ; 2 - 2 }', 'tointer': 'the record record of the second row is 2 - 2 .'}], 'result': True, 'ind': 7, 'tostr': 'and { eq { hop { filter_eq { all_rows ; date ; april 1 } ; record } ; 3 - 2 } ; eq { hop { filter_eq { all_rows ; date ; march 30 } ; record } ; 2 - 2 } }', 'tointer': 'the record record of the first row is 3 - 2 . the record record of the second row is 2 - 2 .'}], 'result': True, 'ind': 8, 'tostr': 'and { greater { hop { filter_eq { all_rows ; date ; april 1 } ; record } ; hop { filter_eq { all_rows ; date ; march 30 } ; record } } ; and { eq { hop { filter_eq { all_rows ; date ; april 1 } ; record } ; 3 - 2 } ; eq { hop { filter_eq { all_rows ; date ; march 30 } ; record } ; 2 - 2 } } } = true', 'tointer': 'select the rows whose date record fuzzily matches to april 1 . take the record record of this row . select the rows whose date record fuzzily matches to march 30 . take the record record of this row . the first record is greater than the second record . the record record of the first row is 3 - 2 . the record record of the second row is 2 - 2 .'}
and { greater { hop { filter_eq { all_rows ; date ; april 1 } ; record } ; hop { filter_eq { all_rows ; date ; march 30 } ; record } } ; and { eq { hop { filter_eq { all_rows ; date ; april 1 } ; record } ; 3 - 2 } ; eq { hop { filter_eq { all_rows ; date ; march 30 } ; record } ; 2 - 2 } } } = true
select the rows whose date record fuzzily matches to april 1 . take the record record of this row . select the rows whose date record fuzzily matches to march 30 . take the record record of this row . the first record is greater than the second record . the record record of the first row is 3 - 2 . the record record of the second row is 2 - 2 .
{'and_8': 'and', 'result_9': 'true', 'greater_4': 'greater', 'str_hop_2': 'str_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_10': 'all_rows', 'date_11': 'date', 'april 1_12': 'april 1', 'record_13': 'record', 'str_hop_3': 'str_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_14': 'all_rows', 'date_15': 'date', 'march 30_16': 'march 30', 'record_17': 'record', 'and_7': 'and', 'str_eq_5': 'str_eq', '3 - 2_18': '3 - 2', 'str_eq_6': 'str_eq', '2 - 2_19': '2 - 2'}
['date', 'visitor', 'score', 'home', 'record']
[['march 22', 'seattle metropolitans', '2 - 3', 'ottawa senators', '1 - 0'], ['march 24', 'seattle metropolitans', '0 - 3', 'ottawa senators', '2 - 0'], ['march 27', 'seattle metropolitans', '3 - 1', 'ottawa senators', '2 - 1'], ['march 30', 'seattle metropolitans', '5 - 2', 'ottawa senators', '2 - 2'], ['april 1', 'seattle metropolitans', '1 - 6', 'ottawa senators', '3 - 2']]