niryuu/sni-each-converted huggingface dataset:
Command: all_eq { all_rows ; dominant religion ( 2002 ) ; orthodox christianity }, interpretation: for the dominant religion ( 2002 ) records of all rows , all of them fuzzily match to orthodox christianity .
Output: yes
Command: all_eq { all_rows ; dominant religion ( 2002 ) ; orthodox christianity }, interpretation: select the rows whose name record fuzzily matches to windows nt 3.1 . take the release date record of this row . select the rows whose name record fuzzily matches to windows 2000 . take the release date record of this row . the first record is less than the second record .
Output: no
Command: less { hop { filter_eq { all_rows ; name ; windows nt 3.1 } ; release date } ; hop { filter_eq { all_rows ; name ; windows 2000 } ; release date } }, interpretation: select the rows whose name record fuzzily matches to windows nt 3.1 . take the release date record of this row . select the rows whose name record fuzzily matches to windows 2000 . take the release date record of this row . the first record is less than the second record .
Output: yes
Command: less { hop { filter_eq { all_rows ; name ; windows nt 3.1 } ; release date } ; hop { filter_eq { all_rows ; name ; windows 2000 } ; release date } }, interpretation: select the rows whose 2nd place team record fuzzily matches to nitehawks . the number of such rows is 2 .
Output: no
Command: eq { count { filter_eq { all_rows ; 2nd place team ; nitehawks } } ; 2 }, interpretation: select the rows whose 2nd place team record fuzzily matches to nitehawks . the number of such rows is 2 .
Output: yes
Command: eq { count { filter_eq { all_rows ; 2nd place team ; nitehawks } } ; 2 }, interpretation: select the rows whose year record is greater than or equal to 1990 . the sum of the points record of these rows is 11 .
Output: no
Command: round_eq { sum { filter_greater_eq { all_rows ; year ; 1990 } ; points } ; 11 }, interpretation: select the rows whose year record is greater than or equal to 1990 . the sum of the points record of these rows is 11 .
Output: yes
Command: round_eq { sum { filter_greater_eq { all_rows ; year ; 1990 } ; points } ; 11 }, interpretation: select the rows whose tv network record fuzzily matches to cbs . the number of such rows is 12 .
Output: no
Command: eq { count { filter_eq { all_rows ; tv network ; cbs } } ; 12 }, interpretation: select the rows whose tv network record fuzzily matches to cbs . the number of such rows is 12 .
Output: yes
Command: eq { count { filter_eq { all_rows ; tv network ; cbs } } ; 12 }, interpretation: select the rows whose edition record fuzzily matches to 2008 davis cup europe / africa group ii . take the surface record of this row . select the rows whose edition record fuzzily matches to 2013 davis cup europe / africa group ii . take the surface record of this row . the first record fuzzily matches to the second record . the surface record of the first row is clay . the surface record of the second row is clay .
Output: no
Command: and { eq { hop { filter_eq { all_rows ; edition ; 2008 davis cup europe / africa group ii } ; surface } ; hop { filter_eq { all_rows ; edition ; 2013 davis cup europe / africa group ii } ; surface } } ; and { eq { hop { filter_eq { all_rows ; edition ; 2008 davis cup europe / africa group ii } ; surface } ; clay } ; eq { hop { filter_eq { all_rows ; edition ; 2013 davis cup europe / africa group ii } ; surface } ; clay } } }, interpretation: select the rows whose edition record fuzzily matches to 2008 davis cup europe / africa group ii . take the surface record of this row . select the rows whose edition record fuzzily matches to 2013 davis cup europe / africa group ii . take the surface record of this row . the first record fuzzily matches to the second record . the surface record of the first row is clay . the surface record of the second row is clay .
Output: yes
Command: and { eq { hop { filter_eq { all_rows ; edition ; 2008 davis cup europe / africa group ii } ; surface } ; hop { filter_eq { all_rows ; edition ; 2013 davis cup europe / africa group ii } ; surface } } ; and { eq { hop { filter_eq { all_rows ; edition ; 2008 davis cup europe / africa group ii } ; surface } ; clay } ; eq { hop { filter_eq { all_rows ; edition ; 2013 davis cup europe / africa group ii } ; surface } ; clay } } }, interpretation: select the rows whose drawn record is equal to 1 . the number of such rows is 2 .
Output: no
Command: eq { count { filter_eq { all_rows ; drawn ; 1 } } ; 2 }, interpretation: select the rows whose previous conference record fuzzily matches to three rivers . there is only one such row in the table . the school record of this unqiue row is caston .
Output: no
Command: and { only { filter_eq { all_rows ; previous conference ; three rivers } } ; eq { hop { filter_eq { all_rows ; previous conference ; three rivers } ; school } ; caston } }, interpretation: select the rows whose previous conference record fuzzily matches to three rivers . there is only one such row in the table . the school record of this unqiue row is caston .
Output: yes
Command: and { only { filter_eq { all_rows ; previous conference ; three rivers } } ; eq { hop { filter_eq { all_rows ; previous conference ; three rivers } ; school } ; caston } }, interpretation: select the rows whose result record fuzzily matches to w . select the row whose date record of these rows is 1st minimum . the opponent record of this row is miami dolphins .
Output: no
Command: eq { hop { nth_argmin { filter_eq { all_rows ; result ; w } ; date ; 1 } ; opponent } ; miami dolphins }, interpretation: select the rows whose result record fuzzily matches to w . select the row whose date record of these rows is 1st minimum . the opponent record of this row is miami dolphins .
Output: yes
Command: eq { hop { nth_argmin { filter_eq { all_rows ; result ; w } ; date ; 1 } ; opponent } ; miami dolphins }, interpretation: for the competition records of all rows , most of them fuzzily match to friendly .
Output: no
Command: most_eq { all_rows ; competition ; friendly }, interpretation: for the competition records of all rows , most of them fuzzily match to friendly .
Output: yes
Command: most_eq { all_rows ; competition ; friendly }, interpretation: for the games records of all rows , all of them are equal to 6 .
Output: no
Command: all_eq { all_rows ; games ; 6 }, interpretation: for the games records of all rows , all of them are equal to 6 .
Output: yes
Command: all_eq { all_rows ; games ; 6 }, interpretation: select the rows whose result record fuzzily matches to w . among these rows , select the rows whose attendance record is greater than 50000 . there is only one such row in the table . the date record of this unqiue row is 10 / 20 / 1928 .
Output: no
Command: and { only { filter_greater { filter_eq { all_rows ; result ; w } ; attendance ; 50000 } } ; eq { hop { filter_greater { filter_eq { all_rows ; result ; w } ; attendance ; 50000 } ; date } ; 10 / 20 / 1928 } }, interpretation: select the rows whose result record fuzzily matches to w . among these rows , select the rows whose attendance record is greater than 50000 . there is only one such row in the table . the date record of this unqiue row is 10 / 20 / 1928 .
Output: yes
Command: and { only { filter_greater { filter_eq { all_rows ; result ; w } ; attendance ; 50000 } } ; eq { hop { filter_greater { filter_eq { all_rows ; result ; w } ; attendance ; 50000 } ; date } ; 10 / 20 / 1928 } }, interpretation: select the rows whose creative excellency record fuzzily matches to atom egoyan . there is only one such row in the table . the year record of this unqiue row is 2006 .
Output: no
Command: and { only { filter_eq { all_rows ; creative excellency ; atom egoyan } } ; eq { hop { filter_eq { all_rows ; creative excellency ; atom egoyan } ; year } ; 2006 } }, interpretation: select the rows whose creative excellency record fuzzily matches to atom egoyan . there is only one such row in the table . the year record of this unqiue row is 2006 .
Output: yes
Command: and { only { filter_eq { all_rows ; creative excellency ; atom egoyan } } ; eq { hop { filter_eq { all_rows ; creative excellency ; atom egoyan } ; year } ; 2006 } }, interpretation: the average of the score record of all rows is 34.5 .
Output: no
Command: round_eq { avg { all_rows ; score } ; 34.5 }, interpretation: the average of the score record of all rows is 34.5 .
Output: yes
Command: round_eq { avg { all_rows ; score } ; 34.5 }, interpretation: the average of the pick record of all rows is 154 .
Output: no
Command: round_eq { avg { all_rows ; pick } ; 154 }, interpretation: the average of the pick record of all rows is 154 .
Output: yes
Command: round_eq { avg { all_rows ; pick } ; 154 }, interpretation: select the rows whose points record is greater than 0 . there is only one such row in the table . the year record of this unqiue row is 1974 .
Output: no