{"index": 0, "beams": [{"question": "C\u00f3 t\u1ea5t c\u1ea3 bao nhi\u00eau ca s\u0129 ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (Count)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 0) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 1))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Count(*) FROM singer", "inferred_code_readable": "", "score": -1.9073477730557897e-06}]} {"index": 1, "beams": [{"question": "Cho bi\u1ebft s\u1ed1 l\u01b0\u1ee3ng c\u00e1c ca s\u0129 .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (Count)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 0) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 1))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Count(*) FROM singer", "inferred_code_readable": "", "score": -2.3841839080773752e-06}]} {"index": 2, "beams": [{"question": "Hi\u1ec3n th\u1ecb t\u00ean , qu\u1ed1c gia v\u00e0 \u0111\u1ed9 tu\u1ed5i c\u1ee7a t\u1ea5t c\u1ea3 c\u00e1c ca s\u0129 theo th\u1ee9 t\u1ef1 gi\u1ea3m d\u1ea7n v\u1ec1 \u0111\u1ed9 tu\u1ed5i .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 9) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 10) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 13) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 1))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by (order_by (order-order (Desc)) (val_unit*-val_units (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 13) (singleton-is_distinct False))))))) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT singer.Name, singer.Country, singer.Age FROM singer ORDER BY singer.Age Desc", "inferred_code_readable": "", "score": -0.0002886962717099095}]} {"index": 3, "beams": [{"question": "Cho bi\u1ebft t\u00ean , qu\u1ed1c gia v\u00e0 \u0111\u1ed9 tu\u1ed5i c\u1ee7a t\u1ea5t c\u1ea3 c\u00e1c ca s\u0129 , \u0111\u1ed3ng th\u1eddi s\u1eafp x\u1ebfp k\u1ebft qu\u1ea3 theo th\u1ee9 t\u1ef1 gi\u1ea3m d\u1ea7n v\u1ec1 \u0111\u1ed9 tu\u1ed5i c\u1ee7a t\u1eebng ca s\u0129 .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 9) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 10) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 13) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 1))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by (order_by (order-order (Desc)) (val_unit*-val_units (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 13) (singleton-is_distinct False))))))) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT singer.Name, singer.Country, singer.Age FROM singer ORDER BY singer.Age Desc", "inferred_code_readable": "", "score": -6.139167020791092e-05}]} {"index": 4, "beams": [{"question": "Cho bi\u1ebft \u0111\u1ed9 tu\u1ed5i trung b\u00ecnh c\u1ee7a c\u00e1c ca s\u0129 \u0111\u1ebfn t\u1eeb n\u01b0\u1edbc Ph\u00e1p , c\u0169ng nh\u01b0 l\u00e0 \u0111\u1ed9 tu\u1ed5i c\u1ee7a ca s\u0129 gi\u00e0 nh\u1ea5t v\u00e0 \u0111\u1ed9 tu\u1ed5i c\u1ee7a ca s\u0129 tr\u1ebb nh\u1ea5t \u0111\u1ebfn t\u1eeb \u0111\u1ea5t n\u01b0\u1edbc n\u00e0y .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (Avg)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 13) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (Max)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 13) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (Min)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 13) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 1))) (cond?-conds))) (cond?-where (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 10) (singleton-is_distinct False))))) (val-val1 (String (string-s \"Unitedn\"))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Avg(singer.Age), Max(singer.Age), Min(singer.Age) FROM singer WHERE singer.Country = \"Unitedn\"", "inferred_code_readable": "", "score": -0.8028973705179823}]} {"index": 5, "beams": [{"question": "\u0110\u1ed9 tu\u1ed5i trung b\u00ecnh c\u1ee7a c\u00e1c ca s\u0129 ng\u01b0\u1eddi Ph\u00e1p l\u00e0 bao nhi\u00eau ? \u0110\u1ed3ng th\u1eddi , \u0111\u1ed9 tu\u1ed5i c\u1ee7a ca s\u0129 gi\u00e0 nh\u1ea5t v\u00e0 \u0111\u1ed9 tu\u1ed5i c\u1ee7a ca s\u0129 tr\u1ebb nh\u1ea5t \u0111\u1ebfn t\u1eeb qu\u1ed1c gia n\u00e0y l\u00e0 bao nhi\u00eau ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (Max)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 13) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (Min)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 13) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (Avg)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 13) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 1))) (cond?-conds))) (cond?-where (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 10) (singleton-is_distinct False))))) (val-val1 (String (string-s \"Unitedn\"))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Max(singer.Age), Min(singer.Age), Avg(singer.Age) FROM singer WHERE singer.Country = \"Unitedn\"", "inferred_code_readable": "", "score": -1.3215368438230257}]} {"index": 6, "beams": [{"question": "Hi\u1ec3n th\u1ecb t\u00ean v\u00e0 n\u0103m ph\u00e1t h\u00e0nh c\u1ee7a nh\u1eefng b\u00e0i h\u00e1t thu\u1ed9c v\u1ec1 ca s\u0129 tr\u1ebb tu\u1ed5i nh\u1ea5t .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 11) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 12) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 1))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by (order_by (order-order (Asc)) (val_unit*-val_units (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 13) (singleton-is_distinct False))))))) (cond?-having) (int?-limit 1) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT singer.Song_Name, singer.Song_release_year FROM singer ORDER BY singer.Age Asc LIMIT 1", "inferred_code_readable": "", "score": -0.0020271762427839235}]} {"index": 7, "beams": [{"question": "Ca s\u0129 tr\u1ebb tu\u1ed5i nh\u1ea5t \u0111\u00e3 ph\u00e1t h\u00e0nh nh\u1eefng b\u00e0i h\u00e1t n\u00e0o ? Cho bi\u1ebft t\u00ean v\u00e0 n\u0103m ph\u00e1t h\u00e0nh c\u1ee7a ch\u00fang .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 11) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 12) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 1))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by (order_by (order-order (Asc)) (val_unit*-val_units (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 13) (singleton-is_distinct False))))))) (cond?-having) (int?-limit 1) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT singer.Song_Name, singer.Song_release_year FROM singer ORDER BY singer.Age Asc LIMIT 1", "inferred_code_readable": "", "score": -0.018565653215155464}]} {"index": 8, "beams": [{"question": "Li\u1ec7t k\u00ea t\u1ea5t c\u1ea3 c\u00e1c qu\u1ed1c gia kh\u00e1c nhau m\u00e0 c\u00e1c ca s\u0129 tr\u00ean 20 tu\u1ed5i \u0111\u1ebfn t\u1eeb .", "model_output": "(sql (select-select (select (singleton-is_distinct True) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 10) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 1))) (cond?-conds))) (cond?-where (Gt (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 13) (singleton-is_distinct False))))) (val-val1 (Number (object-f 20))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT DISTINCT singer.Country FROM singer WHERE singer.Age > 20", "inferred_code_readable": "", "score": -0.0005839125127664602}]} {"index": 9, "beams": [{"question": "Nh\u1eefng ca s\u0129 v\u1edbi \u0111\u1ed9 tu\u1ed5i tr\u00ean 20 \u0111\u1ebfn t\u1eeb nh\u1eefng qu\u1ed1c gia n\u00e0o ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 10) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 1))) (cond?-conds))) (cond?-where (Gt (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 13) (singleton-is_distinct False))))) (val-val1 (Number (object-f 20))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT singer.Country FROM singer WHERE singer.Age > 20", "inferred_code_readable": "", "score": -0.0008447519751726418}]} {"index": 10, "beams": [{"question": "Hi\u1ec3n th\u1ecb t\u1ea5t c\u1ea3 c\u00e1c qu\u1ed1c gia v\u00e0 s\u1ed1 l\u01b0\u1ee3ng ca s\u0129 \u1edf m\u1ed7i qu\u1ed1c gia .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 10) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (Count)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 0) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 1))) (cond?-conds))) (cond?-where) (col_unit*-group_by (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 10) (singleton-is_distinct False))) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT singer.Country, Count(*) FROM singer GROUP BY singer.Country", "inferred_code_readable": "", "score": -3.8146958658558106e-06}]} {"index": 11, "beams": [{"question": "C\u00f3 bao nhi\u00eau ca s\u0129 \u0111\u1ebfn t\u1eeb m\u1ed7i qu\u1ed1c gia ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 10) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (Count)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 0) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 1))) (cond?-conds))) (cond?-where) (col_unit*-group_by (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 10) (singleton-is_distinct False))) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT singer.Country, Count(*) FROM singer GROUP BY singer.Country", "inferred_code_readable": "", "score": -9.429072102307146e-05}]} {"index": 12, "beams": [{"question": "Li\u1ec7t k\u00ea t\u00ean c\u1ee7a t\u1ea5t c\u1ea3 c\u00e1c b\u00e0i h\u00e1t thu\u1ed9c v\u1ec1 nh\u1eefng ca s\u0129 c\u00f3 tu\u1ed5i l\u1edbn h\u01a1n \u0111\u1ed9 tu\u1ed5i trung b\u00ecnh .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 11) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 1))) (cond?-conds))) (cond?-where (Gt (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 13) (singleton-is_distinct False))))) (val-val1 (ValSql (sql-s (sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (Avg)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 13) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 1))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT singer.Song_Name FROM singer WHERE singer.Age > (SELECT Avg(singer.Age) FROM singer)", "inferred_code_readable": "", "score": -7.152554815093026e-06}]} {"index": 13, "beams": [{"question": "Nh\u1eefng ca s\u0129 l\u1edbn tu\u1ed5i h\u01a1n \u0111\u1ed9 tu\u1ed5i trung b\u00ecnh \u0111\u00e3 ph\u00e1t h\u00e0nh c\u00e1c b\u00e0i h\u00e1t n\u00e0o ? Cho bi\u1ebft t\u00ean c\u1ee7a ch\u00fang .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 11) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 1))) (cond?-conds))) (cond?-where (Gt (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 13) (singleton-is_distinct False))))) (val-val1 (ValSql (sql-s (sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (Avg)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 13) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 1))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT singer.Song_Name FROM singer WHERE singer.Age > (SELECT Avg(singer.Age) FROM singer)", "inferred_code_readable": "", "score": -0.0031320119173514627}]} {"index": 14, "beams": [{"question": "Hi\u1ec3n th\u1ecb \u0111\u1ecba \u0111i\u1ec3m v\u00e0 t\u00ean c\u1ee7a t\u1ea5t c\u1ea3 c\u00e1c s\u00e2n v\u1eadn \u0111\u1ed9ng c\u00f3 s\u1ee9c ch\u1ee9a t\u1eeb 5000 \u0111\u1ebfn 10000 .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 2) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 3) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 0))) (cond?-conds))) (cond?-where (Between (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 4) (singleton-is_distinct False))))) (val-val1 (Number (object-f 4000))) (val-val2 (Number (object-f 5000))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT stadium.Location, stadium.Name FROM stadium WHERE stadium.Capacity BETWEEN 4000 AND 5000", "inferred_code_readable": "", "score": -0.01124600307353063}]} {"index": 15, "beams": [{"question": "Nh\u1eefng s\u00e2n v\u1eadn \u0111\u1ed9ng n\u00e0o c\u00f3 s\u1ee9c ch\u1ee9a t\u1eeb \u200b\u200b 5000 \u0111\u1ebfn 10000 ? 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(cond?-conds))) (cond?-where (Not (cond-c (In (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 1) (singleton-is_distinct False))))) (val-val1 (ValSql (sql-s (sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 18) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 2))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))))))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT stadium.Name FROM stadium WHERE stadium.Stadium_ID NOT IN (SELECT concert.Stadium_ID FROM concert)", "inferred_code_readable": "", "score": -1.680848451712791e-05}]} {"index": 29, "beams": [{"question": "Nh\u1eefng s\u00e2n v\u1eadn \u0111\u1ed9ng kh\u00f4ng t\u1ed5 ch\u1ee9c b\u1ea5t k\u1ef3 bu\u1ed5i ho\u00e0 nh\u1ea1c n\u00e0o c\u00f3 t\u00ean l\u00e0 g\u00ec ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 3) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 0))) (cond?-conds))) (cond?-where (Not (cond-c (In (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 1) (singleton-is_distinct False))))) (val-val1 (ValSql (sql-s (sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 18) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 2))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))))))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT stadium.Name FROM stadium WHERE stadium.Stadium_ID NOT IN (SELECT concert.Stadium_ID FROM concert)", "inferred_code_readable": "", "score": -1.4543517750098545e-05}]} {"index": 30, "beams": [{"question": "Hi\u1ec3n th\u1ecb c\u00e1c qu\u1ed1c gia m\u00e0 m\u1ed9t s\u1ed1 ca s\u0129 l\u1edbn h\u01a1n 40 tu\u1ed5i v\u00e0 m\u1ed9t s\u1ed1 ca s\u0129 tr\u1ebb h\u01a1n 30 tu\u1ed5i c\u00f9ng \u0111\u1ebfn t\u1eeb .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 10) 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"inferred_code": "SELECT stadium.Name FROM stadium EXCEPT SELECT stadium.Name FROM stadium JOIN concert ON stadium.Stadium_ID = concert.Stadium_ID WHERE concert.Year = 2014", "inferred_code_readable": "", "score": -0.004076660313792502}]} {"index": 32, "beams": [{"question": "Nh\u1eefng s\u00e2n v\u1eadn \u0111\u1ed9ng kh\u00f4ng c\u00f3 bu\u1ed5i ho\u00e0 nh\u1ea1c n\u00e0o trong n\u0103m 2014 c\u00f3 t\u00ean l\u00e0 g\u00ec ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 3) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 0))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except (sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id 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stadium.Stadium_ID WHERE concert.Year = 2014", "inferred_code_readable": "", "score": -0.01190633383511397}]} {"index": 33, "beams": [{"question": "Hi\u1ec3n th\u1ecb t\u00ean v\u00e0 ch\u1ee7 \u0111\u1ec1 c\u1ee7a t\u1ea5t c\u1ea3 c\u00e1c bu\u1ed5i ho\u00e0 nh\u1ea1c c\u0169ng nh\u01b0 l\u00e0 s\u1ed1 l\u01b0\u1ee3ng c\u00e1c ca s\u0129 \u0111\u00e3 tham gia t\u1eebng bu\u1ed5i ho\u00e0 nh\u1ea1c .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 16) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 17) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (Count)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 0) 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v\u00e0 s\u1ed1 l\u01b0\u1ee3ng ca s\u0129 c\u1ee7a t\u1eebng bu\u1ed5i ho\u00e0 nh\u1ea1c .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 16) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 17) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (Count)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 0) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 3)) (Table (table-table_id 2))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 20) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c 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"beams": [{"question": "Cho bi\u1ebft t\u00ean c\u1ee7a t\u1ea5t c\u1ea3 c\u00e1c ca s\u0129 v\u00e0 m\u1ed7i ng\u01b0\u1eddi trong s\u1ed1 h\u1ecd \u0111\u00e3 tham d\u1ef1 bao nhi\u00eau bu\u1ed5i ho\u00e0 nh\u1ea1c ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 9) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (Count)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 0) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 1)) (Table (table-table_id 3))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 8) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 21) 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"SELECT singer.Name FROM singer JOIN concert JOIN singer_in_concert ON singer.Singer_ID = singer_in_concert.Singer_ID AND singer_in_concert.concert_ID = concert.concert_ID WHERE concert.Year = 2014", "inferred_code_readable": "", "score": -0.04741096705246406}]} {"index": 38, "beams": [{"question": "Li\u1ec7t k\u00ea t\u00ean c\u1ee7a c\u00e1c ca s\u0129 \u0111\u00e3 bi\u1ec3u di\u1ec5n trong m\u1ed9t s\u1ed1 bu\u1ed5i ho\u00e0 nh\u1ea1c n\u0103m 2014 .", "model_output": "(sql (select-select (select (singleton-is_distinct True) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 9) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 3)) (Table (table-table_id 1)) (Table (table-table_id 2))) (cond?-conds (And (cond-left (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 21) 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"inferred_code_readable": "", "score": -0.4555276001620854}]} {"index": 39, "beams": [{"question": "Cho bi\u1ebft t\u00ean v\u00e0 qu\u1ed1c gia c\u1ee7a ca s\u0129 \u0111\u00e3 ph\u00e1t h\u00e0nh b\u00e0i h\u00e1t c\u00f3 ti\u00eau \u0111\u1ec1 ch\u1ee9a t\u1eeb ' Hey '", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 9) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 10) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 1))) (cond?-conds))) (cond?-where (Like (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 11) (singleton-is_distinct False))))) (val-val1 (String (string-s \"%He%\"))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT singer.Name, singer.Country FROM singer WHERE singer.Song_Name LIKE \"%He%\"", "inferred_code_readable": "", "score": -0.6698973849178174}]} {"index": 40, "beams": [{"question": "Nh\u1eefng ca s\u0129 n\u00e0o \u0111\u00e3 ph\u00e1t h\u00e0nh b\u00e0i h\u00e1t c\u00f3 ch\u1ee9a t\u1eeb ' Hey ' trong ti\u00eau \u0111\u1ec1 ? 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nh\u1ea5t ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (Count)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 0) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 0))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by (order_by (order-order (Desc)) (val_unit*-val_units (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 4) (singleton-is_distinct False))))))) (cond?-having) (int?-limit 1) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Count(*) FROM stadium ORDER BY stadium.Capacity Desc LIMIT 1", "inferred_code_readable": "", "score": -0.0008108950295451223}]} {"index": 45, "beams": [{"question": "Cho bi\u1ebft s\u1ed1 l\u01b0\u1ee3ng th\u00fa c\u01b0ng c\u00f3 tr\u1ecdng l\u01b0\u1ee3ng n\u1eb7ng h\u01a1n 10 .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (Count)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 0) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 2))) (cond?-conds))) (cond?-where (Gt (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 14) (singleton-is_distinct False))))) (val-val1 (Number (object-f 10))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Count(*) FROM Pets WHERE Pets.weight > 10", "inferred_code_readable": "", "score": -2.2411217067030975e-05}]} {"index": 46, "beams": [{"question": "C\u00f3 bao nhi\u00eau th\u00fa c\u01b0ng c\u00f3 tr\u1ecdng l\u01b0\u1ee3ng l\u1edbn h\u01a1n 10 ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg 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-0.1971355610654726}]} {"index": 98, "beams": [{"question": "Nh\u1eefng m\u1eabu xe c\u00f3 tr\u1ecdng l\u01b0\u1ee3ng th\u1ea5p h\u01a1n m\u1ee9c trung b\u00ecnh l\u00e0 nh\u1eefng m\u1eabu n\u00e0o ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 12) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 3))) (cond?-conds))) (cond?-where (Lt (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 21) (singleton-is_distinct False))))) (val-val1 (ValSql (sql-s (sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (Avg)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 21) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 5))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT model_list.Model FROM model_list JOIN car_names ON model_list.Model = car_names.Model JOIN cars_data ON car_names.MakeId = cars_data.Id WHERE cars_data.Weight < (SELECT Avg(cars_data.Weight) FROM cars_data)", "inferred_code_readable": "", "score": -0.0031670156778815794}]} {"index": 99, "beams": [{"question": "T\u00ecm t\u00ean c\u1ee7a c\u00e1c nh\u00e0 s\u1ea3n xu\u1ea5t \u0111\u00e3 s\u1ea3n xu\u1ea5t m\u1ed9t s\u1ed1 xe h\u01a1i v\u00e0o n\u0103m 1970 ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit 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(select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 7) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 7) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 3)) (Table (table-table_id 2))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 11) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 6) (singleton-is_distinct False))))))))) (cond?-where) (col_unit*-group_by) (order_by?-order_by (order_by (order-order (Asc)) (val_unit*-val_units (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 7) 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(Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 0) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 1))) (cond?-conds))) (cond?-where (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 4) (singleton-is_distinct False))))) (val-val1 (String (string-s \"United\"))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Count(*) FROM countries WHERE countries.CountryName = \"United\"", "inferred_code_readable": "", "score": -0.16222272848010277}]} {"index": 116, "beams": [{"question": "S\u1ed1 l\u01b0\u1ee3ng c\u00e1c m\u1eabu xe \u0111\u01b0\u1ee3c s\u1ea3n xu\u1ea5t t\u1ea1i Hoa K\u1ef3 l\u00e0 bao nhi\u00eau ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (Count)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 0) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 3))) (cond?-conds))) (cond?-where (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 12) (singleton-is_distinct False))))) (val-val1 (String (string-s \"United\"))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Count(*) FROM model_list WHERE model_list.Model = \"United\"", "inferred_code_readable": "", "score": -0.5105771048040282}]} {"index": 117, "beams": [{"question": "S\u1ed1 d\u1eb7m trung b\u00ecnh tr\u00ean m\u1ed7i gallon ( mpg ) c\u1ee7a nh\u1eefng chi\u1ebfc xe c\u00f3 4 xi-lanh l\u00e0 bao nhi\u00eau ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (Avg)) (val_unit-val_unit (Column 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(val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 21) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 5))) (cond?-conds))) (cond?-where (And (cond-left (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 18) (singleton-is_distinct False))))) (val-val1 (Number (object-f 8))))) (cond-right (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 23) (singleton-is_distinct False))))) (val-val1 (String (string-s \"\"))))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Min(cars_data.Weight) FROM cars_data WHERE cars_data.Cylinders = 8 AND cars_data.Year = \"\"", "inferred_code_readable": "", "score": -2.06056986386303}]} {"index": 120, "beams": [{"question": "Chi\u1ebfc xe nh\u1eb9 nh\u1ea5t v\u1edbi 8 xi-lanh v\u00e0 \u0111\u01b0\u1ee3c s\u1ea3n xu\u1ea5t v\u00e0o n\u0103m 1974 c\u00f3 tr\u1ecdng l\u01b0\u1ee3ng l\u00e0 bao nhi\u00eau ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (Min)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 21) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 5))) (cond?-conds))) (cond?-where (And (cond-left (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 18) (singleton-is_distinct False))))) (val-val1 (Number (object-f 8))))) (cond-right (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 23) (singleton-is_distinct False))))) (val-val1 (String (string-s \"A\"))))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) 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{"index": 123, "beams": [{"question": "Nh\u1eefng qu\u1ed1c gia n\u00e0o c\u00f3 \u00edt nh\u1ea5t m\u1ed9t nh\u00e0 s\u1ea3n xu\u1ea5t xe h\u01a1i l\u00e0 nh\u1eefng qu\u1ed1c gia ? 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(NoneAggOp)) (column-col_id 23) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (Avg)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 21) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 5))) (cond?-conds))) (cond?-where) (col_unit*-group_by (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 23) (singleton-is_distinct False))) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT cars_data.Year, Avg(cars_data.Weight) FROM cars_data GROUP BY cars_data.Year", "inferred_code_readable": "", "score": -5.5788781317289704e-05}]} {"index": 129, "beams": [{"question": "Nh\u1eefng qu\u1ed1c gia n\u00e0o \u1edf ch\u00e2u \u00c2u c\u00f3 \u00edt nh\u1ea5t 3 nh\u00e0 s\u1ea3n xu\u1ea5t xe h\u01a1i ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 4) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 1)) (Table (table-table_id 2)) (Table (table-table_id 0))) (cond?-conds (And (cond-left (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 3) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 9) (singleton-is_distinct False))))))) (cond-right (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 5) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 1) (singleton-is_distinct False))))))))))) (cond?-where (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 2) (singleton-is_distinct False))))) (val-val1 (String (string-s \"Uniteds\"))))) (col_unit*-group_by (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 3) (singleton-is_distinct False))) (order_by?-order_by) (cond?-having (Ge (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (Count)) (column-col_id 0) (singleton-is_distinct False))))) (val-val1 (Number (object-f 3))))) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT countries.CountryName FROM continents JOIN countries ON continents.ContId = countries.Continent JOIN car_makers ON countries.CountryId = car_makers.Country WHERE continents.Continent = \"Uniteds\" GROUP BY countries.CountryId HAVING Count(*) >= 3", "inferred_code_readable": "", "score": -0.2152639562547165}]} {"index": 130, "beams": [{"question": "T\u00ean c\u1ee7a t\u1ea5t c\u1ea3 c\u00e1c n\u01b0\u1edbc ch\u00e2u \u00c2u c\u00f3 \u00edt nh\u1ea5t 3 nh\u00e0 s\u1ea3n xu\u1ea5t .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 4) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 1)) (Table (table-table_id 2))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 3) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 9) (singleton-is_distinct False))))))))) (cond?-where (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 2) (singleton-is_distinct False))))) (val-val1 (String (string-s \"Uniteds\"))))) (col_unit*-group_by (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 3) (singleton-is_distinct False))) (order_by?-order_by) (cond?-having (Ge (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (Count)) (column-col_id 0) (singleton-is_distinct False))))) (val-val1 (Number (object-f 3))))) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT countries.CountryName FROM continents JOIN countries ON continents.ContId = countries.Continent JOIN car_makers ON countries.CountryId = car_makers.Country WHERE continents.Continent = \"Uniteds\" GROUP BY countries.CountryId HAVING Count(*) >= 3", "inferred_code_readable": "", "score": -0.3631084528931794}]} {"index": 131, "beams": [{"question": "Cho bi\u1ebft m\u00e3 l\u1ef1c v\u00e0 th\u01b0\u01a1ng hi\u1ec7u c\u1ee7a m\u1eabu xe c\u00f3 m\u00e3 l\u1ef1c l\u1edbn nh\u1ea5t v\u00e0 c\u00f3 3 xi-lanh.", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 20) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 15) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 5))) (cond?-conds))) (cond?-where (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 18) (singleton-is_distinct False))))) (val-val1 (Number (object-f 3))))) (col_unit*-group_by) (order_by?-order_by (order_by (order-order (Desc)) (val_unit*-val_units (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 20) (singleton-is_distinct False))))))) (cond?-having) (int?-limit 3) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT cars_data.Horsepower, car_names.Make FROM car_names JOIN cars_data ON car_names.MakeId = cars_data.Id WHERE cars_data.Cylinders = 3 ORDER BY cars_data.Horsepower Desc LIMIT 3", "inferred_code_readable": "", "score": -0.3020374436461424}]} {"index": 132, "beams": [{"question": "M\u1eabu xe n\u00e0o c\u00f3 m\u00e3 l\u1ef1c l\u1edbn nh\u1ea5t v\u00e0 c\u00f3 3 xi-lanh ? Cho bi\u1ebft m\u00e3 l\u1ef1c v\u00e0 th\u01b0\u01a1ng hi\u1ec7u c\u1ee7a m\u1eabu xe n\u00e0y .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 20) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 15) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 5))) (cond?-conds))) (cond?-where (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 18) (singleton-is_distinct False))))) (val-val1 (Number (object-f 3))))) (col_unit*-group_by) (order_by?-order_by (order_by (order-order (Desc)) (val_unit*-val_units (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 15) (singleton-is_distinct False))))))) (cond?-having) (int?-limit 3) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT cars_data.Horsepower, car_names.Make FROM car_names JOIN cars_data ON car_names.MakeId = cars_data.Id WHERE cars_data.Cylinders = 3 ORDER BY car_names.Make Desc LIMIT 3", "inferred_code_readable": "", "score": -0.5812218004357916}]} {"index": 133, "beams": [{"question": "M\u1eabu xe n\u00e0o ti\u1ebft ki\u1ec7m x\u0103ng nh\u1ea5t ? N\u00f3i c\u00e1ch kh\u00e1c , \u0111i \u0111\u01b0\u1ee3c nhi\u1ec1u d\u1eb7m tr\u00ean m\u1ed7i gallon nh\u1ea5t .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 19) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 5))) (cond?-conds))) (cond?-where) (col_unit*-group_by (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 19) (singleton-is_distinct False))) (order_by?-order_by (order_by (order-order (Desc)) (val_unit*-val_units (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (Sum)) (column-col_id 17) (singleton-is_distinct False))))))) (cond?-having) (int?-limit 1) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT cars_data.Edispl FROM cars_data GROUP BY cars_data.Edispl ORDER BY Sum(cars_data.MPG) Desc LIMIT 1", "inferred_code_readable": "", "score": -0.01289185711110008}]} {"index": 134, "beams": [{"question": "M\u1eabu xe h\u01a1i c\u00f3 mpg cao nh\u1ea5t l\u00e0 m\u1eabu xe n\u00e0o ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 12) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 3)) (Table (table-table_id 5))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 10) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 16) (singleton-is_distinct False))))))))) (cond?-where) (col_unit*-group_by) (order_by?-order_by (order_by (order-order (Desc)) (val_unit*-val_units (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id 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(col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 23) (singleton-is_distinct False))))) (val-val1 (Number (object-f 1850))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Avg(cars_data.Horsepower) FROM cars_data WHERE cars_data.Year < 1850", "inferred_code_readable": "", "score": -1.2334901094409148}]} {"index": 136, "beams": [{"question": "Cho bi\u1ebft m\u00e3 l\u1ef1c trung b\u00ecnh c\u1ee7a t\u1ea5t c\u1ea3 c\u00e1c xe \u0111\u01b0\u1ee3c s\u1ea3n xu\u1ea5t tr\u01b0\u1edbc n\u0103m 1980 ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (Avg)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 20) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 5))) (cond?-conds))) (cond?-where (Lt 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(agg*-aggs (agg (agg_type-agg_id (Avg)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 19) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 5)) (Table (table-table_id 2)) (Table (table-table_id 2))) (cond?-conds (And (cond-left (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 16) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 13) (singleton-is_distinct False))))))) (cond-right (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 11) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 6) (singleton-is_distinct False))))))))))) (cond?-where (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 8) (singleton-is_distinct False))))) (val-val1 (String (string-s \"animalnovos\"))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Avg(cars_data.Edispl) FROM car_makers JOIN model_list ON car_makers.Id = model_list.Maker JOIN car_names ON model_list.Model = car_names.Model JOIN cars_data ON car_names.MakeId = cars_data.Id WHERE car_makers.FullName = \"animalnovos\"", "inferred_code_readable": "", "score": -1.8880329837898557}]} {"index": 139, "beams": [{"question": "Gia t\u1ed1c t\u1ed1i \u0111a c\u1ee7a m\u1ed7i lo\u1ea1i xi lanh l\u00e0 bao nhi\u00eau ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 22) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (Max)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 22) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 5))) (cond?-conds))) (cond?-where) (col_unit*-group_by (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 18) (singleton-is_distinct False))) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT cars_data.Accelerate, Max(cars_data.Accelerate) FROM cars_data GROUP BY cars_data.Cylinders", "inferred_code_readable": "", "score": -0.5929938516458364}]} {"index": 140, "beams": [{"question": "Cho bi\u1ebft gia t\u1ed1c t\u1ed1i \u0111a c\u1ee7a m\u1ed7i lo\u1ea1i xi lanh ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 22) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (Max)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 22) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 5))) (cond?-conds))) (cond?-where) (col_unit*-group_by (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 18) (singleton-is_distinct False))) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT cars_data.Accelerate, Max(cars_data.Accelerate) FROM cars_data GROUP BY cars_data.Cylinders", "inferred_code_readable": "", "score": -0.7887813815817779}]} {"index": 141, "beams": [{"question": "M\u1eabu xe \u00f4 t\u00f4 n\u00e0o c\u00f3 nhi\u1ec1u phi\u00ean b\u1ea3n nh\u1ea5t ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 12) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 3))) (cond?-conds))) (cond?-where) (col_unit*-group_by (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 12) (singleton-is_distinct False))) (order_by?-order_by (order_by (order-order (Desc)) (val_unit*-val_units (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (Count)) (column-col_id 0) (singleton-is_distinct False))))))) (cond?-having) (int?-limit 1) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT model_list.Model FROM model_list GROUP BY model_list.Model ORDER BY Count(*) Desc LIMIT 1", "inferred_code_readable": "", "score": -0.024582113654489035}]} {"index": 142, "beams": [{"question": "M\u1eabu xe n\u00e0o c\u00f3 nhi\u1ec1u phi\u00ean b\u1ea3n kh\u00e1c nhau nh\u1ea5t ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 12) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 3))) (cond?-conds))) (cond?-where) (col_unit*-group_by (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 12) (singleton-is_distinct False))) (order_by?-order_by (order_by (order-order (Desc)) (val_unit*-val_units (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (Count)) (column-col_id 0) (singleton-is_distinct False))))))) (cond?-having) (int?-limit 1) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT model_list.Model FROM model_list GROUP BY model_list.Model ORDER BY Count(*) Desc LIMIT 1", "inferred_code_readable": "", "score": -0.00017439899704640993}]} {"index": 143, "beams": [{"question": "C\u00f3 bao nhi\u00eau chi\u1ebfc xe c\u00f3 nhi\u1ec1u h\u01a1n 4 xi lanh ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (Count)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 0) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 5))) (cond?-conds))) (cond?-where (Gt (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 18) (singleton-is_distinct False))))) (val-val1 (Number (object-f 4))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Count(*) FROM cars_data WHERE cars_data.Cylinders > 4", "inferred_code_readable": "", "score": -7.152379534147713e-05}]} {"index": 144, "beams": [{"question": "Cho bi\u1ebft s\u1ed1 l\u01b0\u1ee3ng nh\u1eefng chi\u1ebfc xe c\u00f3 nhi\u1ec1u h\u01a1n 4 xi lanh .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (Count)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 0) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 5))) (cond?-conds))) (cond?-where (Gt (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 18) (singleton-is_distinct False))))) (val-val1 (Number (object-f 4))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Count(*) FROM cars_data WHERE cars_data.Cylinders > 4", "inferred_code_readable": "", "score": -4.5418214185133365e-05}]} {"index": 145, "beams": [{"question": "C\u00f3 bao nhi\u00eau chi\u1ebfc xe \u0111\u01b0\u1ee3c s\u1ea3n xu\u1ea5t v\u00e0o n\u0103m 1980 ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (Count)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id 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False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 5))) (cond?-conds))) (cond?-where (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 23) (singleton-is_distinct False))))) (val-val1 (Number (object-f 80))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Count(*) FROM cars_data WHERE cars_data.Year = 80", "inferred_code_readable": "", "score": -0.5032288984464302}]} {"index": 147, "beams": [{"question": "C\u00f3 bao nhi\u00eau m\u1eabu xe \u0111\u01b0\u1ee3c s\u1ea3n xu\u1ea5t b\u1edfi nh\u00e0 s\u1ea3n xu\u1ea5t c\u00f3 t\u00ean \u0111\u1ea7y \u0111\u1ee7 l\u00e0 American Motor Company ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (Count)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 0) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 2)) (Table (table-table_id 3))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 6) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 11) (singleton-is_distinct False))))))))) (cond?-where (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 8) (singleton-is_distinct False))))) (val-val1 (String (string-s \"AmericanMotorCompany\"))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Count(*) FROM car_makers JOIN model_list ON car_makers.Id = model_list.Maker WHERE car_makers.FullName = \"AmericanMotorCompany\"", "inferred_code_readable": "", "score": -0.061103846937690776}]} {"index": 148, "beams": [{"question": "S\u1ed1 l\u01b0\u1ee3ng c\u00e1c m\u1eabu xe h\u01a1i \u0111\u01b0\u1ee3c t\u1ea1o ra b\u1edfi nh\u00e0 s\u1ea3n xu\u1ea5t xe h\u01a1i American Motor Company l\u00e0 bao nhi\u00eau ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (Count)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 0) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 2)) (Table (table-table_id 3))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 6) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 11) (singleton-is_distinct False))))))))) (cond?-where (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 7) (singleton-is_distinct False))))) (val-val1 (String (string-s \"AmericanMotorCompany\"))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Count(*) FROM car_makers JOIN model_list ON car_makers.Id = model_list.Maker WHERE car_makers.Maker = \"AmericanMotorCompany\"", "inferred_code_readable": "", "score": -0.43545118495143953}]} {"index": 149, "beams": [{"question": "Nh\u1eefng nh\u00e0 s\u1ea3n xu\u1ea5t n\u00e0o \u0111\u00e3 thi\u1ebft k\u1ebf nhi\u1ec1u h\u01a1n 3 m\u1eabu xe h\u01a1i ? Li\u1ec7t k\u00ea t\u00ean \u0111\u1ea7y \u0111\u1ee7 v\u00e0 id c\u1ee7a m\u1ed7i nh\u00e0 s\u1ea3n xu\u1ea5t .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 6) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 8) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 6) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 2)) (Table (table-table_id 3))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 6) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 11) (singleton-is_distinct False))))))))) (cond?-where) (col_unit*-group_by (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 6) (singleton-is_distinct False))) (order_by?-order_by) (cond?-having (Ge (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (Count)) (column-col_id 0) (singleton-is_distinct False))))) (val-val1 (Number (object-f 3))))) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT car_makers.Id, car_makers.FullName, car_makers.Id FROM car_makers JOIN model_list ON car_makers.Id = model_list.Maker GROUP BY car_makers.Id HAVING Count(*) >= 3", "inferred_code_readable": "", "score": -0.08223836423780995}]} {"index": 150, "beams": [{"question": "Cho bi\u1ebft t\u00ean v\u00e0 id c\u1ee7a t\u1ea5t c\u1ea3 c\u00e1c nh\u00e0 s\u1ea3n xu\u1ea5t c\u00f3 nhi\u1ec1u h\u01a1n 3 m\u1eabu xe ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 8) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 6) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 2)) (Table (table-table_id 3))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 6) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 11) (singleton-is_distinct False))))))))) (cond?-where) (col_unit*-group_by (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 6) (singleton-is_distinct False))) (order_by?-order_by) (cond?-having (Ge (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (Count)) (column-col_id 0) (singleton-is_distinct False))))) (val-val1 (Number (object-f 3))))) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT car_makers.FullName, car_makers.Id FROM car_makers JOIN model_list ON car_makers.Id = model_list.Maker GROUP BY car_makers.Id HAVING Count(*) >= 3", "inferred_code_readable": "", "score": -0.0795707691727614}]} {"index": 151, "beams": [{"question": "Nh\u1eefng m\u1eabu xe kh\u00e1c nhau n\u00e0o \u0111\u01b0\u1ee3c s\u1ea3n xu\u1ea5t b\u1edfi nh\u00e0 s\u1ea3n xu\u1ea5t c\u00f3 t\u00ean \u0111\u1ea7y \u0111\u1ee7 l\u00e0 General Motors ho\u1eb7c n\u1eb7ng h\u01a1n 3500 ?", "model_output": "(sql (select-select (select (singleton-is_distinct True) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 12) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 2)) (Table (table-table_id 3))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 11) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 6) (singleton-is_distinct False))))))))) (cond?-where (Or (cond-left (Gt (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 8) (singleton-is_distinct False))))) (val-val1 (Number (object-f 3000))))) (cond-right (Gt (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 7) (singleton-is_distinct False))))) (val-val1 (Number (object-f 5000))))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT DISTINCT model_list.Model FROM car_makers JOIN model_list ON car_makers.Id = model_list.Maker WHERE car_makers.FullName > 3000 OR car_makers.Maker > 5000", "inferred_code_readable": "", "score": -1.3196679810825245}]} {"index": 152, "beams": [{"question": "Nh\u1eefng m\u1eabu xe kh\u00e1c nhau \u0111\u01b0\u1ee3c t\u1ea1o ra b\u1edfi nh\u00e0 s\u1ea3n xu\u1ea5t xe h\u01a1i General Motors ho\u1eb7c n\u1eb7ng h\u01a1n 3500 l\u00e0 nh\u1eefng m\u1eabu n\u00e0o ?", "model_output": "(sql (select-select (select (singleton-is_distinct True) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 12) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 2)) (Table (table-table_id 3))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 11) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 6) (singleton-is_distinct False))))))))) (cond?-where (Or (cond-left (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 7) (singleton-is_distinct False))))) (val-val1 (String (string-s \"JohnMotorMotors\"))))) (cond-right (Gt (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 8) (singleton-is_distinct False))))) (val-val1 (Number (object-f 3000))))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT DISTINCT model_list.Model FROM car_makers JOIN model_list ON car_makers.Id = model_list.Maker WHERE car_makers.Maker = \"JohnMotorMotors\" OR car_makers.FullName > 3000", "inferred_code_readable": "", "score": -1.8678566468250324}]} {"index": 153, "beams": [{"question": "Cho bi\u1ebft nh\u1eefng n\u0103m m\u00e0 c\u00e1c \u00f4 t\u00f4 \u0111\u01b0\u1ee3c s\u1ea3n xu\u1ea5t c\u00f3 tr\u1ecdng l\u01b0\u1ee3ng kh\u00f4ng d\u01b0\u1edbi 3000 v\u00e0 kh\u00f4ng qu\u00e1 4000 ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 23) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 5))) (cond?-conds))) (cond?-where (Between (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 21) (singleton-is_distinct False))))) (val-val1 (Number (object-f 3000))) (val-val2 (Number (object-f 5000))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT cars_data.Year FROM cars_data WHERE cars_data.Weight BETWEEN 3000 AND 5000", "inferred_code_readable": "", "score": -0.009263449262242318}]} {"index": 154, "beams": [{"question": "C\u00e1c n\u0103m kh\u00e1c nhau m\u00e0 nh\u1eefng chi\u1ebfc xe \u0111\u01b0\u1ee3c s\u1ea3n xu\u1ea5t c\u00f3 tr\u1ecdng l\u01b0\u1ee3ng d\u01b0\u1edbi 4000 v\u00e0 h\u01a1n 3000 l\u00e0 c\u00e1c n\u0103m n\u00e0o ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 23) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 5))) (cond?-conds))) (cond?-where (Between (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 21) (singleton-is_distinct False))))) (val-val1 (Number (object-f 4000))) (val-val2 (Number (object-f 3000))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT cars_data.Year FROM cars_data WHERE cars_data.Weight BETWEEN 4000 AND 3000", "inferred_code_readable": "", "score": -0.09957458655316742}]} {"index": 155, "beams": [{"question": "M\u00e3 l\u1ef1c c\u1ee7a chi\u1ebfc xe c\u00f3 gia t\u1ed1c l\u1edbn nh\u1ea5t l\u00e0 bao nhi\u00eau ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 20) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 5))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by (order_by (order-order (Desc)) (val_unit*-val_units (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 22) (singleton-is_distinct False))))))) (cond?-having) (int?-limit 1) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT cars_data.Horsepower FROM cars_data ORDER BY cars_data.Accelerate Desc LIMIT 1", "inferred_code_readable": "", "score": -7.748594150314148e-06}]} {"index": 156, "beams": [{"question": "Cho bi\u1ebft m\u00e3 l\u1ef1c c\u1ee7a chi\u1ebfc xe v\u1edbi gia t\u1ed1c l\u1edbn nh\u1ea5t ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 20) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 5))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by (order_by (order-order (Desc)) (val_unit*-val_units (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 22) (singleton-is_distinct False))))))) (cond?-having) (int?-limit 1) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT cars_data.Horsepower FROM cars_data ORDER BY cars_data.Accelerate Desc LIMIT 1", "inferred_code_readable": "", "score": -8.4638469175502e-06}]} {"index": 157, "beams": [{"question": "\u0110\u1ed1i v\u1edbi m\u1eabu xe volvo , chi\u1ebfc xe c\u00f3 gia t\u1ed1c nh\u1ecf nh\u1ea5t c\u00f3 bao nhi\u00eau xi-lanh ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 18) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 5)) (Table (table-table_id 4)) (Table (table-table_id 3))) (cond?-conds (And (cond-left (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 16) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 13) (singleton-is_distinct False))))))) (cond-right (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 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"\u0110\u1ed1i v\u1edbi c\u00e1c m\u1eabu xe volvo , phi\u00ean b\u1ea3n xe v\u1edbi gia t\u1ed1c th\u1ea5p nh\u1ea5t c\u00f3 bao nhi\u00eau xi-lanh ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 18) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 5)) (Table (table-table_id 4)) (Table (table-table_id 3)) (Table (table-table_id 2))) (cond?-conds (And (cond-left (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 16) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 13) (singleton-is_distinct False))))))) (cond-right (And (cond-left (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) 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"beams": [{"question": "C\u00f3 bao nhi\u00eau chi\u1ebfc xe c\u00f3 nhi\u1ec1u h\u01a1n 6 xi lanh ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (Count)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 0) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 5))) (cond?-conds))) (cond?-where (Gt (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 18) (singleton-is_distinct False))))) (val-val1 (Number (object-f 2006))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Count(*) FROM cars_data WHERE cars_data.Cylinders > 2006", "inferred_code_readable": "", "score": -0.7027697563078874}]} {"index": 164, "beams": [{"question": "S\u1ed1 l\u01b0\u1ee3ng xe \u00f4 t\u00f4 c\u00f3 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nh\u1eefng xe c\u00f3 8 xi-lanh ho\u1eb7c nh\u1eefng xe \u0111\u01b0\u1ee3c s\u1ea3n xu\u1ea5t tr\u01b0\u1edbc n\u0103m 1980 l\u00e0 bao nhi\u00eau ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (Max)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 23) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 23) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 5))) (cond?-conds))) (cond?-where (Or (cond-left (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 18) (singleton-is_distinct False))))) (val-val1 (Number (object-f 8))))) (cond-right (Lt (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 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"beams": [{"question": "T\u1ea5t c\u1ea3 c\u00e1c th\u00f4ng tin v\u1ec1 v\u1ea5n \u0111\u1ec1 tuy\u1ec3n d\u1ee5ng ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 0) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 2))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT * FROM hiring", "inferred_code_readable": "", "score": -1.0371181168977728e-05}]} {"index": 293, "beams": [{"question": "Nh\u1eefng qu\u1eadn n\u00e0o c\u00f3 c\u1ea3 m\u1ed9t s\u1ed1 c\u1eeda h\u00e0ng v\u1edbi \u00edt h\u01a1n 3000 s\u1ea3n ph\u1ea9m v\u00e0 m\u1ed9t s\u1ed1 c\u1eeda h\u00e0ng v\u1edbi nhi\u1ec1u h\u01a1n 10000 s\u1ea3n ph\u1ea9m ?", "model_output": 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Templates.Template_ID = Documents.Template_ID WHERE Templates.Template_Type_Code = \"PPT\"", "inferred_code_readable": "", "score": -0.0016043770630815857}]} {"index": 308, "beams": [{"question": "\u0110\u1ebfm s\u1ed1 l\u01b0\u1ee3ng t\u00e0i li\u1ec7u s\u1eed d\u1ee5ng m\u1eabu v\u1edbi m\u00e3 lo\u1ea1i l\u00e0 PPT .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (Count)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 0) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 2)) (Table (table-table_id 1))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 10) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 3) (singleton-is_distinct False))))))))) (cond?-where (Eq (val_unit-val_unit 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[{"question": "Tr\u1ea3 v\u1ec1 ch\u1ee7 \u0111\u1ec1 c\u1ee7a c\u00e1c \u0111o\u1ea1n v\u0103n b\u1ea3n n\u1eb1m trong t\u00e0i li\u1ec7u c\u00f3 t\u00ean l\u00e0 ' \u0110\u00e1nh gi\u00e1 c\u1ee7a kh\u00e1ch h\u00e0ng ' .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 16) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 3)) (Table (table-table_id 2))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 15) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 9) (singleton-is_distinct False))))))))) (cond?-where (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 11) 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435, "beams": [{"question": "Cho bi\u1ebft \u0111\u1ed9 tu\u1ed5i trung b\u00ecnh c\u1ee7a nh\u1eefng ng\u01b0\u1eddi thua cu\u1ed9c v\u00e0 \u0111\u1ed9 tu\u1ed5i trung b\u00ecnh c\u1ee7a ng\u01b0\u1eddi chi\u1ebfn th\u1eafng trong t\u1ea5t c\u1ea3 c\u00e1c tr\u1eadn \u0111\u1ea5u .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (Avg)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 9) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (Avg)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 28) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 1))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Avg(matches.loser_age), 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[{"question": "Th\u1ee9 h\u1ea1ng trung b\u00ecnh c\u1ee7a ng\u01b0\u1eddi chi\u1ebfn th\u1eafng trong t\u1ea5t c\u1ea3 c\u00e1c tr\u1eadn \u0111\u1ea5u", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (Avg)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 35) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 1))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Avg(matches.winner_rank) FROM matches", "inferred_code_readable": "", "score": -2.9206167411643946e-05}]} {"index": 439, "beams": [{"question": "T\u00ecm th\u1ee9 h\u1ea1ng th\u1ea5p nh\u1ea5t c\u1ee7a ng\u01b0\u1eddi thua cu\u1ed9c trong t\u1ea5t c\u1ea3 c\u00e1c tr\u1eadn \u0111\u1ea5u .", "model_output": "(sql (select-select (select 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(from-from (from (table_unit*-table_units (Table (table-table_id 1))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Min(matches.loser_rank) FROM matches", "inferred_code_readable": "", "score": -0.017423052335445277}]} {"index": 441, "beams": [{"question": "Cho bi\u1ebft s\u1ed1 l\u01b0\u1ee3ng c\u00e1c qu\u1ed1c gia kh\u00e1c nhau m\u00e0 t\u1ea5t c\u1ea3 c\u00e1c ng\u01b0\u1eddi ch\u01a1i \u0111\u1ebfn t\u1eeb .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (Count)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 6) (singleton-is_distinct True))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 0))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) 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[{"question": "C\u00f3 bao nhi\u00eau c\u00e1i t\u00ean kh\u00e1c nhau thu\u1ed9c v\u1ec1 nh\u1eefng ng\u01b0\u1eddi thua cu\u1ed9c ? .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (Count)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 15) (singleton-is_distinct True))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 1))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Count(DISTINCT matches.loser_name) FROM matches", "inferred_code_readable": "", "score": -8.821482310850115e-06}]} {"index": 444, "beams": [{"question": "Nh\u1eefng ng\u01b0\u1eddi thua cu\u1ed9c c\u00f3 t\u1ed5ng c\u1ed9ng bao nhi\u00eau c\u00e1i t\u00ean kh\u00e1c nhau ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (Count)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 15) (singleton-is_distinct True))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 1))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Count(DISTINCT matches.loser_name) FROM matches", "inferred_code_readable": "", "score": -2.3960914752763074e-05}]} {"index": 445, "beams": [{"question": "T\u00ecm t\u00ean c\u1ee7a gi\u1ea3i \u0111\u1ea5u c\u00f3 h\u01a1n 10 tr\u1eadn \u0111\u1ea5u \u0111\u01b0\u1ee3c di\u1ec5n ra .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 27) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 1))) (cond?-conds))) (cond?-where) (col_unit*-group_by (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 27) (singleton-is_distinct False))) (order_by?-order_by) (cond?-having (Gt (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (Count)) (column-col_id 19) (singleton-is_distinct False))))) (val-val1 (Number (object-f 10))))) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT matches.tourney_name FROM matches GROUP BY matches.tourney_name HAVING Count(matches.match_num) > 10", "inferred_code_readable": "", "score": -0.09194095829710136}]} {"index": 446, "beams": [{"question": "T\u00ean c\u1ee7a c\u00e1c gi\u1ea3i \u0111\u1ea5u c\u00f3 h\u01a1n 10 tr\u1eadn \u0111\u1ea5u ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id 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(singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 2) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 0)) (Table (table-table_id 1))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 1) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 32) (singleton-is_distinct False))))))))) (cond?-where (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 38) (singleton-is_distinct False))))) (val-val1 (Number (object-f 3))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect (sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit 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players.first_name FROM players JOIN matches ON players.player_id = matches.winner_id WHERE matches.year = 2016", "inferred_code_readable": "", "score": -2.234286314754357}]} {"index": 448, "beams": [{"question": "T\u00ean c\u1ee7a nh\u1eefng ng\u01b0\u1eddi ch\u01a1i \u0111\u00e3 gi\u00e0nh chi\u1ebfn th\u1eafng trong c\u1ea3 hai n\u0103m 2013 v\u00e0 2016 ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 2) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 0)) (Table (table-table_id 1))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 1) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 32) (singleton-is_distinct 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"beams": [{"question": "T\u00ecm m\u00e3 c\u1ee7a c\u00e1c qu\u1ed1c gia c\u00f3 nhi\u1ec1u h\u01a1n 50 ng\u01b0\u1eddi ch\u01a1i .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 6) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 0))) (cond?-conds))) (cond?-where) (col_unit*-group_by (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 6) (singleton-is_distinct False))) (order_by?-order_by) (cond?-having (Gt (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (Count)) (column-col_id 0) (singleton-is_distinct False))))) (val-val1 (Number (object-f 50))))) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT players.country_code FROM players GROUP BY players.country_code HAVING Count(*) > 50", 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(singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 29) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 5)) (Table (table-table_id 7))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 28) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 46) (singleton-is_distinct False))))))))) (cond?-where) (col_unit*-group_by (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 28) (singleton-is_distinct False))) (order_by?-order_by (order_by (order-order (Desc)) (val_unit*-val_units (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (Count)) (column-col_id 0) (singleton-is_distinct False))))))) (cond?-having) (int?-limit 1) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Semesters.semester_id, Semesters.semester_name FROM Semesters JOIN Student_Enrolment ON Semesters.semester_id = Student_Enrolment.semester_id GROUP BY Semesters.semester_id ORDER BY Count(*) Desc LIMIT 1", "inferred_code_readable": "", "score": -1.007987584327843}]} {"index": 531, "beams": [{"question": "Cho bi\u1ebft m\u00f4 t\u1ea3 v\u1ec1 khoa c\u00f3 t\u00ean ch\u1ee9a chu\u1ed7i con ' m\u00e1y t\u00ednh ' .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 16) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 2))) (cond?-conds))) (cond?-where (Like (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 15) (singleton-is_distinct False))))) (val-val1 (String (string-s \"%s%\"))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Departments.department_description FROM Departments WHERE Departments.department_name LIKE \"%s%\"", "inferred_code_readable": "", "score": -0.8493749027533468}]} {"index": 532, "beams": [{"question": "M\u00f4 t\u1ea3 v\u1ec1 khoa m\u00e0 trong t\u00ean khoa c\u00f3 ch\u1ee9a c\u1ee5m t\u1eeb ' m\u00e1y t\u00ednh ' ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 16) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 2))) (cond?-conds))) (cond?-where (Like (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 15) (singleton-is_distinct False))))) (val-val1 (String (string-s \"%D%\"))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Departments.department_description FROM Departments WHERE Departments.department_name LIKE \"%D%\"", "inferred_code_readable": "", "score": -1.4297091358611524}]} {"index": 533, "beams": [{"question": "Nh\u1eefng sinh vi\u00ean n\u00e0o \u0111ang theo h\u1ecdc ch\u01b0\u01a1ng tr\u00ecnh song b\u1eb1ng trong m\u1ed9t h\u1ecdc k\u1ef3 ? 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Courses.course_name FROM Courses JOIN Student_Enrolment_Courses ON Courses.course_id = Student_Enrolment_Courses.course_id GROUP BY Courses.course_id ORDER BY Count(*) Desc LIMIT 1", "inferred_code_readable": "", "score": -0.1642711640689285}]} {"index": 538, "beams": [{"question": "Cho bi\u1ebft t\u00ean t\u00f3m t\u1eaft c\u1ee7a ch\u01b0\u01a1ng tr\u00ecnh v\u1edbi s\u1ed1 l\u01b0\u1ee3ng sinh vi\u00ean theo h\u1ecdc \u0111\u00f4ng nh\u1ea5t .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 11) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 1)) (Table (table-table_id 8))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 10) (singleton-is_distinct False))))) (val-val1 (ColUnit 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Li\u1ec7t k\u00ea id v\u00e0 t\u00ean t\u00f3m t\u1eaft c\u1ee7a ch\u01b0\u01a1ng tr\u00ecnh \u0111\u00f3", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 10) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 11) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 1)) (Table (table-table_id 4))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 10) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 24) (singleton-is_distinct False))))))))) (cond?-where) (col_unit*-group_by (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 10) (singleton-is_distinct False))) (order_by?-order_by (order_by (order-order (Desc)) (val_unit*-val_units (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (Count)) (column-col_id 0) (singleton-is_distinct False))))))) (cond?-having) (int?-limit 1) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Courses.course_id, Courses.course_name FROM Courses JOIN Sections ON Courses.course_id = Sections.course_id GROUP BY Courses.course_id ORDER BY Count(*) Desc LIMIT 1", "inferred_code_readable": "", "score": -0.0036743124423850304}]} {"index": 540, "beams": [{"question": "Ch\u01b0\u01a1ng tr\u00ecnh l\u1ea5y b\u1eb1ng c\u1ea5p n\u00e0o c\u00f3 s\u1ed1 l\u01b0\u1ee3ng sinh vi\u00ean theo h\u1ecdc \u0111\u00f4ng nh\u1ea5t ? 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Li\u1ec7t k\u00ea id , t\u00ean , t\u00ean \u0111\u1ec7m , h\u1ecd v\u00e0 s\u1ed1 l\u01b0\u1ee3ng \u0111\u0103ng k\u00fd c\u1ee7a sinh vi\u00ean \u0111\u00f3 .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 32) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 35) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (Count)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 0) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 6)) (Table (table-table_id 7))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 32) 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"inferred_code": "SELECT DISTINCT Courses.course_name FROM Courses JOIN Student_Enrolment_Courses ON Courses.course_id = Student_Enrolment_Courses.course_id", "inferred_code_readable": "", "score": -8.809370000051331e-05}]} {"index": 547, "beams": [{"question": "T\u00ean c\u1ee7a kho\u00e1 h\u1ecdc c\u00f3 s\u1ed1 l\u01b0\u1ee3ng sinh vi\u00ean theo h\u1ecdc \u0111\u00f4ng nh\u1ea5t l\u00e0 g\u00ec ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 11) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 1)) (Table (table-table_id 8))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 10) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) 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(from-from (from (table_unit*-table_units (Table (table-table_id 9))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Transcripts.transcript_date FROM Transcripts", "inferred_code_readable": "", "score": -0.00873826612060924}]} {"index": 564, "beams": [{"question": "Ng\u00e0y ph\u00e1t h\u00e0nh b\u1ea3ng \u0111i\u1ec3m trung b\u00ecnh l\u00e0 ng\u00e0y n\u00e0o ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (Avg)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 53) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 9))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT 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(val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 0) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 0))) (cond?-conds))) (cond?-where (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 4) (singleton-is_distinct False))))) (val-val1 (String (string-s \"english\"))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Count(*) FROM TV_Channel WHERE TV_Channel.Language = \"english\"", "inferred_code_readable": "", "score": -0.02442534943081398}]} {"index": 604, "beams": [{"question": "\u0110\u1ebfm s\u1ed1 l\u01b0\u1ee3ng k\u00eanh truy\u1ec1n h\u00ecnh s\u1eed d\u1ee5ng ng\u00f4n ng\u1eef ' ti\u1ebfng Anh ' ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (Count)) 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Cho bi\u1ebft s\u1ed1 l\u01b0\u1ee3ng k\u00eanh truy\u1ec1n h\u00ecnh s\u1eed d\u1ee5ng ng\u00f4n ng\u1eef n\u00e0y .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 4) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (Count)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 0) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 0))) (cond?-conds))) (cond?-where) (col_unit*-group_by (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 4) (singleton-is_distinct False))) (order_by?-order_by (order_by (order-order (Asc)) (val_unit*-val_units (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (Count)) (column-col_id 0) (singleton-is_distinct False))))))) (cond?-having) (int?-limit 1) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT TV_Channel.Language, Count(*) FROM TV_Channel GROUP BY TV_Channel.Language ORDER BY Count(*) Asc LIMIT 1", "inferred_code_readable": "", "score": -0.000619363187418287}]} {"index": 606, "beams": [{"question": "Cho bi\u1ebft ng\u00f4n ng\u1eef \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng b\u1edfi \u00edt k\u00eanh truy\u1ec1n h\u00ecnh nh\u1ea5t v\u00e0 s\u1ed1 l\u01b0\u1ee3ng k\u00eanh s\u1eed d\u1ee5ng n\u00f3 ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 4) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (Count)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 0) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 0))) (cond?-conds))) (cond?-where) (col_unit*-group_by (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 4) (singleton-is_distinct False))) (order_by?-order_by (order_by (order-order (Asc)) (val_unit*-val_units (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (Count)) (column-col_id 0) (singleton-is_distinct False))))))) (cond?-having) (int?-limit 1) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT TV_Channel.Language, Count(*) FROM TV_Channel GROUP BY TV_Channel.Language ORDER BY Count(*) Asc LIMIT 1", "inferred_code_readable": "", "score": -0.0035446495451836313}]} {"index": 607, "beams": [{"question": "Li\u1ec7t k\u00ea t\u1eebng ng\u00f4n ng\u1eef v\u00e0 s\u1ed1 l\u01b0\u1ee3ng k\u00eanh truy\u1ec1n h\u00ecnh s\u1eed d\u1ee5ng n\u00f3 .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 4) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (Count)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 0) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 0))) (cond?-conds))) (cond?-where) (col_unit*-group_by (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 4) (singleton-is_distinct False))) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT TV_Channel.Language, Count(*) FROM TV_Channel GROUP BY TV_Channel.Language", "inferred_code_readable": "", "score": -2.8610222599922963e-06}]} {"index": 608, "beams": [{"question": "\u0110\u1ed1i v\u1edbi m\u1ed7i ng\u00f4n ng\u1eef , h\u00e3y li\u1ec7t k\u00ea s\u1ed1 l\u01b0\u1ee3ng k\u00eanh truy\u1ec1n h\u00ecnh s\u1eed d\u1ee5ng n\u00f3 .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 4) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (Count)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 0) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 0))) (cond?-conds))) (cond?-where) (col_unit*-group_by (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 4) (singleton-is_distinct False))) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT TV_Channel.Language, Count(*) FROM TV_Channel GROUP BY TV_Channel.Language", "inferred_code_readable": "", "score": -2.8610219899860567e-06}]} {"index": 609, "beams": [{"question": "K\u00eanh truy\u1ec1n h\u00ecnh n\u00e0o \u0111\u00e3 chi\u1ebfu b\u1ed9 phim ho\u1ea1t h\u00ecnh ' S\u1ef1 tr\u1ed7i d\u1eady c\u1ee7a b\u1ecd c\u00e1nh c\u1ee9ng xanh ' ? Li\u1ec7t k\u00ea t\u00ean s\u00ea-ri c\u1ee7a k\u00eanh truy\u1ec1n h\u00ecnh n\u00e0y .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 2) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 2)) (Table (table-table_id 0))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 25) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 1) (singleton-is_distinct False))))))))) (cond?-where (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 20) (singleton-is_distinct False))))) (val-val1 (String (string-s \"Midkins\"))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT TV_Channel.series_name FROM TV_Channel JOIN Cartoon ON TV_Channel.id = Cartoon.Channel WHERE Cartoon.Title = \"Midkins\"", "inferred_code_readable": "", "score": -1.808944483281465}]} {"index": 610, "beams": [{"question": "T\u00ean s\u00ea-ri c\u1ee7a k\u00eanh truy\u1ec1n h\u00ecnh \u0111\u00e3 chi\u1ebfu b\u1ed9 phim ho\u1ea1t h\u00ecnh ' S\u1ef1 tr\u1ed7i d\u1eady c\u1ee7a b\u1ecd c\u00e1nh c\u1ee9ng xanh ' l\u00e0 g\u00ec ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 2) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 2)) (Table (table-table_id 0))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 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(singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 20) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 2)) (Table (table-table_id 0))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 25) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 1) (singleton-is_distinct False))))))))) (cond?-where (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 2) (singleton-is_distinct False))))) (val-val1 (String (string-s \"TVRadio\"))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Cartoon.Title FROM TV_Channel JOIN Cartoon ON TV_Channel.id = Cartoon.Channel WHERE TV_Channel.series_name = \"TVRadio\"", "inferred_code_readable": "", "score": -0.8807671582322456}]} {"index": 612, "beams": [{"question": "Ti\u00eau \u0111\u1ec1 c\u1ee7a t\u1ea5t c\u1ea3 c\u00e1c phim ho\u1ea1t h\u00ecnh \u0111\u01b0\u1ee3c chi\u1ebfu tr\u00ean k\u00eanh truy\u1ec1n h\u00ecnh v\u1edbi t\u00ean s\u00ea-ri l\u00e0 ' Sky Radio ' .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 20) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 2)) (Table (table-table_id 0))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 25) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 1) (singleton-is_distinct False))))))))) (cond?-where (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 2) (singleton-is_distinct False))))) (val-val1 (String (string-s \"TVRadio\"))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Cartoon.Title FROM TV_Channel JOIN Cartoon ON TV_Channel.id = Cartoon.Channel WHERE TV_Channel.series_name = \"TVRadio\"", "inferred_code_readable": "", "score": -0.8914582501160666}]} {"index": 613, "beams": [{"question": "Li\u1ec7t k\u00ea t\u1eadp c\u1ee7a t\u1ea5t c\u1ea3 c\u00e1c b\u1ed9 phim truy\u1ec1n h\u00ecnh nhi\u1ec1u t\u1eadp theo th\u1ee9 t\u1ef1 \u0111\u00e1nh gi\u00e1 x\u1ebfp h\u1ea1ng .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 11) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 1))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by (order_by (order-order (Asc)) (val_unit*-val_units (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 13) (singleton-is_distinct False))))))) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT TV_series.Episode FROM TV_series ORDER BY TV_series.Rating Asc", "inferred_code_readable": "", "score": -0.000248878524438112}]} {"index": 614, "beams": [{"question": "S\u1eafp x\u1ebfp t\u1ea5t c\u1ea3 c\u00e1c t\u1eadp phim theo \u0111\u00e1nh gi\u00e1 x\u1ebfp h\u1ea1ng .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 11) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 1))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by (order_by (order-order (Asc)) (val_unit*-val_units (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 13) (singleton-is_distinct False))))))) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT TV_series.Episode FROM TV_series ORDER BY TV_series.Rating Asc", "inferred_code_readable": "", "score": -1.561634915248078e-05}]} {"index": 615, "beams": [{"question": "Cho bi\u1ebft danh s\u00e1ch bao g\u1ed3m 3 b\u1ed9 phim truy\u1ec1n h\u00ecnh nhi\u1ec1u t\u1eadp \u0111\u01b0\u1ee3c x\u1ebfp h\u1ea1ng cao nh\u1ea5t ? 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TV_series.Episode, TV_series.Rating FROM TV_series ORDER BY TV_series.Rating Desc LIMIT 3", "inferred_code_readable": "", "score": -1.2178070542307964}]} {"index": 616, "beams": [{"question": "3 t\u1eadp phim \u0111\u01b0\u1ee3c \u0111\u00e1nh gi\u00e1 cao nh\u1ea5t trong b\u1ea3ng phim truy\u1ec1n h\u00ecnh l\u00e0 nh\u1eefng b\u1ed9 phim n\u00e0o v\u00e0 cho bi\u1ebft x\u1ebfp h\u1ea1ng \u0111\u00e1nh gi\u00e1 c\u1ee7a ch\u00fang ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 11) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 13) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 1))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by (order_by (order-order (Desc)) (val_unit*-val_units (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 13) (singleton-is_distinct False))))))) (cond?-having) (int?-limit 3) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT TV_series.Episode, TV_series.Rating FROM TV_series ORDER BY TV_series.Rating Desc LIMIT 3", "inferred_code_readable": "", "score": -0.0024116820904609426}]} {"index": 617, "beams": [{"question": "M\u1ee9c c\u1ed5 ph\u1ea7n c\u1ee7a b\u1ed9 phim c\u00f3 m\u1ee9c c\u1ed5 ph\u1ea7n cao nh\u1ea5t v\u00e0 m\u1ee9c c\u1ed5 ph\u1ea7n c\u1ee7a b\u1ed9 phim c\u00f3 m\u1ee9c c\u1ed5 ph\u1ea7n th\u1ea5p nh\u1ea5t l\u00e0 bao nhi\u00eau ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (Max)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 14) (singleton-is_distinct 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\u0111\u1eddi ' ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 17) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 1))) (cond?-conds))) (cond?-where (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 11) (singleton-is_distinct False))))) (val-val1 (String (string-s \"Tais\"))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT TV_series.Weekly_Rank FROM TV_series WHERE TV_series.Episode = \"Tais\"", "inferred_code_readable": "", "score": -2.3770306408371624}]} {"index": 622, "beams": [{"question": "Th\u1ee9 h\u1ea1ng h\u00e0ng tu\u1ea7n c\u1ee7a b\u1ed9 phim truy\u1ec1n h\u00ecnh c\u00f3 t\u1eadp phim v\u1edbi 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(sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT TV_Channel.Country FROM TV_Channel GROUP BY TV_Channel.Country HAVING Count(*) > 2", "inferred_code_readable": "", "score": -7.474229551718281e-05}]} {"index": 643, "beams": [{"question": "T\u00ecm id c\u1ee7a c\u00e1c k\u00eanh truy\u1ec1n h\u00ecnh kh\u00f4ng ph\u00e1t b\u1ea5t k\u1ef3 phim ho\u1ea1t h\u00ecnh n\u00e0o do Ben Jones \u0111\u1ea1o di\u1ec5n .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 1) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 0))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except (sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id 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(col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))) (sql?-union))", "inferred_code": "SELECT Cartoon.id FROM Cartoon EXCEPT SELECT Cartoon.Channel FROM Cartoon WHERE Cartoon.Directed_by = \"WalJonesJones\"", "inferred_code_readable": "", "score": -1.2591382677522773}]} {"index": 645, "beams": [{"question": "T\u00ecm nh\u1eefng g\u00f3i tu\u1ef3 ch\u1ecdn c\u1ee7a c\u00e1c k\u00eanh truy\u1ec1n h\u00ecnh kh\u00f4ng c\u00f3 phim ho\u1ea1t h\u00ecnh n\u00e0o do Ben Jones \u0111\u1ea1o di\u1ec5n .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 9) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 0))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) 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"inferred_code": "SELECT TV_Channel.Package_Option FROM TV_Channel EXCEPT SELECT TV_Channel.Package_Option FROM TV_Channel JOIN Cartoon ON TV_Channel.id = Cartoon.Channel WHERE Cartoon.Directed_by = \"ElJonesJones\"", "inferred_code_readable": "", "score": -1.066939456931138}]} {"index": 646, "beams": [{"question": "C\u00e1c g\u00f3i tu\u1ef3 ch\u1ecdn c\u1ee7a t\u1ea5t c\u1ea3 c\u00e1c k\u00eanh truy\u1ec1n h\u00ecnh kh\u00f4ng ph\u00e1t b\u1ea5t k\u1ef3 phim ho\u1ea1t h\u00ecnh n\u00e0o do Ben Jones \u0111\u1ea1o di\u1ec5n ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 9) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 0))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except 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TV_Channel.Package_Option FROM TV_Channel EXCEPT SELECT TV_Channel.Package_Option FROM TV_Channel JOIN Cartoon ON TV_Channel.id = Cartoon.Channel WHERE Cartoon.Directed_by = \"WalJonesJones\"", "inferred_code_readable": "", "score": -0.9943623803977175}]} {"index": 647, "beams": [{"question": "C\u00f3 bao nhi\u00eau ng\u01b0\u1eddi ch\u01a1i poker ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (Count)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 0) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 0))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Count(*) FROM poker_player", "inferred_code_readable": "", "score": -2.1457664374224805e-06}]} {"index": 648, "beams": [{"question": "\u0110\u1ebfm s\u1ed1 l\u01b0\u1ee3ng ng\u01b0\u1eddi ch\u01a1i poker .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (Count)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 0) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 0))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Count(*) FROM poker_player", "inferred_code_readable": "", "score": -2.5033941284391403e-06}]} {"index": 649, "beams": [{"question": "Li\u1ec7t k\u00ea thu nh\u1eadp c\u1ee7a ng\u01b0\u1eddi ch\u01a1i poker theo th\u1ee9 t\u1ef1 gi\u1ea3m d\u1ea7n .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 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"score": -8.58306363227257e-06}]} {"index": 654, "beams": [{"question": "Cho bi\u1ebft thu nh\u1eadp trung b\u00ecnh c\u1ee7a t\u1ea5t c\u1ea3 nh\u1eefng ng\u01b0\u1eddi ch\u01a1i poker .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (Avg)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 6) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 0))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Avg(poker_player.Earnings) FROM poker_player", "inferred_code_readable": "", "score": -3.814696434289999e-06}]} {"index": 655, "beams": [{"question": "Ng\u01b0\u1eddi ch\u01a1i poker c\u00f3 thu nh\u1eadp cao nh\u1ea5t c\u00f3 th\u1ee9 h\u1ea1ng ti\u1ec1n l\u00e0 bao nhi\u00eau ?", "model_output": "(sql 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[{"question": "Cho bi\u1ebft s\u1ed1 l\u01b0\u1ee3ng b\u00e0n chung cu\u1ed9c l\u1edbn nh\u1ea5t \u0111\u1ea1t \u0111\u01b0\u1ee3c b\u1edfi m\u1ed9t ng\u01b0\u1eddi ch\u01a1i n\u00e0o \u0111\u00f3 trong s\u1ed1 nh\u1eefng ng\u01b0\u1eddi ch\u01a1i poker c\u00f3 thu nh\u1eadp d\u01b0\u1edbi 200000 .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (Max)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 3) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 0))) (cond?-conds))) (cond?-where (Lt (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 6) (singleton-is_distinct False))))) (val-val1 (Number (object-f 200000))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT 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t\u1ecbch kh\u00e1c nhau ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (Count)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 8) (singleton-is_distinct True))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 1))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Count(DISTINCT people.Nationality) FROM people", "inferred_code_readable": "", "score": -6.556506875199375e-06}]} {"index": 686, "beams": [{"question": "\u0110\u1ebfm s\u1ed1 l\u01b0\u1ee3ng c\u00e1c qu\u1ed1c t\u1ecbch kh\u00e1c nhau .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (Count)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 8) (singleton-is_distinct True))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 1))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Count(DISTINCT people.Nationality) FROM people", "inferred_code_readable": "", "score": -6.079671422298816e-06}]} {"index": 687, "beams": [{"question": "C\u00f3 t\u1ea5t c\u1ea3 bao nhi\u00eau bang ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (Count)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 0) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 0))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Count(*) FROM AREA_CODE_STATE", "inferred_code_readable": "", "score": -0.018773976635067413}]} {"index": 688, "beams": [{"question": "Li\u1ec7t k\u00ea m\u00e3 s\u1ed1 v\u00e0 t\u00ean c\u1ee7a t\u1ea5t c\u1ea3 c\u00e1c th\u00ed sinh theo th\u1ee9 t\u1ef1 gi\u1ea3m d\u1ea7n v\u1ec1 t\u00ean c\u1ee7a t\u1eebng th\u00ed sinh .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 3) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 4) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 1))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by (order_by (order-order (Desc)) (val_unit*-val_units (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 4) (singleton-is_distinct False))))))) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT CONTESTANTS.contestant_number, CONTESTANTS.contestant_name FROM CONTESTANTS ORDER BY CONTESTANTS.contestant_name Desc", "inferred_code_readable": "", "score": -7.617349162103437e-05}]} {"index": 689, "beams": [{"question": "Li\u1ec7t k\u00ea id , s\u1ed1 \u0111i\u1ec7n tho\u1ea1i v\u00e0 bang c\u1ee7a t\u1ea5t c\u1ea3 c\u00e1c phi\u1ebfu b\u1ea7u .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 5) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 6) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 7) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 2))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT VOTES.vote_id, VOTES.phone_number, VOTES.state FROM VOTES", "inferred_code_readable": "", "score": -1.5854801922898787e-05}]} {"index": 690, "beams": [{"question": "Cho bi\u1ebft c\u00e1c gi\u00e1 tr\u1ecb l\u1edbn nh\u1ea5t v\u00e0 nh\u1ecf nh\u1ea5t c\u1ee7a m\u00e3 v\u00f9ng", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (Max)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 1) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (Min)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 1) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 0))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Max(AREA_CODE_STATE.area_code), Min(AREA_CODE_STATE.area_code) FROM AREA_CODE_STATE", "inferred_code_readable": "", "score": -0.0013495826930309818}]} {"index": 691, "beams": [{"question": "Ng\u00e0y cu\u1ed1i c\u00f9ng m\u00e0 c\u00e1c phi\u1ebfu b\u1ea7u \u0111\u01b0\u1ee3c t\u1ea1o ra t\u1eeb bang CA l\u00e0 ng\u00e0y n\u00e0o ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (Max)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 9) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 2)) (Table (table-table_id 0))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 7) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 1) (singleton-is_distinct False))))))))) (cond?-where (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 2) (singleton-is_distinct False))))) (val-val1 (String (string-s \"Canada\"))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Max(VOTES.created) FROM AREA_CODE_STATE JOIN VOTES ON AREA_CODE_STATE.state = VOTES.state WHERE AREA_CODE_STATE.state = \"Canada\"", "inferred_code_readable": "", "score": -0.7588097285326967}]} {"index": 692, "beams": [{"question": "Li\u1ec7t k\u00ea t\u00ean c\u1ee7a c\u00e1c th\u00ed sinh c\u00f3 t\u00ean kh\u00f4ng ph\u1ea3i l\u00e0 ' Jessie Alloway '", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 4) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 1))) (cond?-conds))) (cond?-where (Ne (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 4) (singleton-is_distinct False))))) (val-val1 (String (string-s \"Columbus\"))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT CONTESTANTS.contestant_name FROM CONTESTANTS WHERE CONTESTANTS.contestant_name != \"Columbus\"", "inferred_code_readable": "", "score": -1.7750184981325106}]} {"index": 693, "beams": [{"question": "Cho bi\u1ebft c\u00e1c bang kh\u00e1c nhau \u0111\u01b0\u1ee3c in tr\u00ean t\u1ea5t c\u1ea3 c\u00e1c phi\u1ebfu b\u1ea7u c\u0169ng nh\u01b0 l\u00e0 ng\u00e0y m\u00e0 t\u1eebng l\u00e1 phi\u1ebfu \u0111\u01b0\u1ee3c t\u1ea1o ra .", "model_output": "(sql (select-select (select (singleton-is_distinct True) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 7) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 9) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 2))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT DISTINCT VOTES.state, VOTES.created FROM VOTES", "inferred_code_readable": "", "score": -0.004050538403809867}]} {"index": 694, "beams": [{"question": "Cho bi\u1ebft m\u00e3 s\u1ed1 v\u00e0 t\u00ean c\u1ee7a c\u00e1c th\u00ed sinh \u0111\u00e3 c\u00f3 \u00edt nh\u1ea5t hai phi\u1ebfu b\u1ea7u", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 3) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 4) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 1)) (Table (table-table_id 2))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 3) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 8) (singleton-is_distinct False))))))))) (cond?-where) (col_unit*-group_by (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 3) (singleton-is_distinct False))) (order_by?-order_by) (cond?-having (Ge (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (Count)) (column-col_id 0) (singleton-is_distinct False))))) (val-val1 (Number (object-f 2))))) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT CONTESTANTS.contestant_number, CONTESTANTS.contestant_name FROM CONTESTANTS JOIN VOTES ON CONTESTANTS.contestant_number = VOTES.contestant_number GROUP BY CONTESTANTS.contestant_number HAVING Count(*) >= 2", "inferred_code_readable": "", "score": -0.00017820985928551636}]} {"index": 695, "beams": [{"question": "Trong s\u1ed1 t\u1ea5t c\u1ea3 c\u00e1c th\u00ed sinh \u0111\u01b0\u1ee3c b\u00ecnh ch\u1ecdn , cho bi\u1ebft m\u00e3 s\u1ed1 v\u00e0 t\u00ean c\u1ee7a th\u00ed sinh c\u00f3 \u00edt phi\u1ebfu nh\u1ea5t ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 8) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 4) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 1)) (Table (table-table_id 2))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 3) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 8) (singleton-is_distinct False))))))))) (cond?-where) (col_unit*-group_by) (order_by?-order_by (order_by (order-order (Asc)) (val_unit*-val_units (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 8) (singleton-is_distinct False))))))) (cond?-having) (int?-limit 1) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT VOTES.contestant_number, CONTESTANTS.contestant_name FROM CONTESTANTS JOIN VOTES ON CONTESTANTS.contestant_number = VOTES.contestant_number ORDER BY VOTES.contestant_number Asc LIMIT 1", "inferred_code_readable": "", "score": -0.8834204916168034}]} {"index": 696, "beams": [{"question": "S\u1ed1 l\u01b0\u1ee3ng phi\u1ebfu b\u1ea7u t\u1eeb bang NY ho\u1eb7c CA l\u00e0 bao nhi\u00eau ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (Count)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 0) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 2))) (cond?-conds))) (cond?-where (Or (cond-left (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 7) (singleton-is_distinct False))))) (val-val1 (String 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bi\u1ebft m\u00e3 c\u1ee7a v\u00f9ng \u0111\u01b0\u1ee3c nhi\u1ec1u ng\u01b0\u1eddi b\u1ea7u ch\u1ecdn nh\u1ea5t", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 1) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 0)) (Table (table-table_id 2))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 2) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 7) (singleton-is_distinct False))))))))) (cond?-where) (col_unit*-group_by (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 1) (singleton-is_distinct False))) (order_by?-order_by (order_by (order-order (Desc)) (val_unit*-val_units (Column (col_unit-col_unit1 (col_unit 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khu v\u1ef1c n\u00e0o v\u00e0 c\u00f3 d\u00e2n s\u1ed1 l\u00e0 bao nhi\u00eau ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 11) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 14) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 2))) (cond?-conds))) (cond?-where (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 9) (singleton-is_distinct False))))) (val-val1 (String (string-s \"E\"))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT country.Region, country.Population FROM country WHERE 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"model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 9) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 2)) (Table (table-table_id 3))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 8) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 23) (singleton-is_distinct False))))))))) (cond?-where (Or (cond-left (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 24) (singleton-is_distinct False))))) (val-val1 (String (string-s \"UK\"))))) (cond-right (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 25) 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(table-table_id 3))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 8) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 23) (singleton-is_distinct False))))))))) (cond?-where (Or (cond-left (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 24) (singleton-is_distinct False))))) (val-val1 (String (string-s \"UK\"))))) (cond-right (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 24) (singleton-is_distinct False))))) (val-val1 (String (string-s \"Man\"))))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT country.Name FROM country JOIN countrylanguage ON country.Code = countrylanguage.CountryCode WHERE countrylanguage.Language = \"UK\" OR countrylanguage.Language = \"Man\"", "inferred_code_readable": "", "score": -0.8191940769080688}]} {"index": 756, "beams": [{"question": "Ng\u00f4n ng\u1eef n\u00e0o \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng ph\u1ed5 bi\u1ebfn nh\u1ea5t t\u1ea1i l\u1ee5c \u0111\u1ecba ' ch\u00e2u \u00c1 ' ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 24) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 2)) (Table (table-table_id 3))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 8) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 23) (singleton-is_distinct False))))))))) (cond?-where (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 10) (singleton-is_distinct False))))) (val-val1 (String (string-s \"China\"))))) (col_unit*-group_by (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 24) (singleton-is_distinct False))) (order_by?-order_by (order_by (order-order (Desc)) (val_unit*-val_units (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (Count)) (column-col_id 0) (singleton-is_distinct False))))))) (cond?-having) (int?-limit 1) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT countrylanguage.Language FROM country JOIN countrylanguage ON country.Code = countrylanguage.CountryCode WHERE country.Continent = \"China\" GROUP BY countrylanguage.Language ORDER BY Count(*) Desc LIMIT 1", "inferred_code_readable": "", "score": -0.31195948317741795}]} {"index": 757, "beams": [{"question": "Cho bi\u1ebft ng\u00f4n ng\u1eef \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng b\u1edfi nhi\u1ec1u qu\u1ed1c gia \u1edf ' ch\u00e2u \u00c1 ' nh\u1ea5t .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 24) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 2)) (Table (table-table_id 3))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 8) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 23) (singleton-is_distinct False))))))))) (cond?-where (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 10) (singleton-is_distinct False))))) (val-val1 (String (string-s \"China\"))))) (col_unit*-group_by (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 24) (singleton-is_distinct False))) (order_by?-order_by (order_by (order-order 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(singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 2)) (Table (table-table_id 3))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 8) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 23) (singleton-is_distinct False))))))))) (cond?-where (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 19) (singleton-is_distinct False))))) (val-val1 (String (string-s \"Canada\"))))) (col_unit*-group_by (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 24) (singleton-is_distinct False))) (order_by?-order_by) (cond?-having (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (Count)) (column-col_id 0) (singleton-is_distinct False))))) (val-val1 (Number (object-f 1))))) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT countrylanguage.Language FROM country JOIN countrylanguage ON country.Code = countrylanguage.CountryCode WHERE country.GovernmentForm = \"Canada\" GROUP BY countrylanguage.Language HAVING Count(*) = 1", "inferred_code_readable": "", "score": -0.2607138421747308}]} {"index": 759, "beams": [{"question": "Nh\u1eefng ng\u00f4n ng\u1eef n\u00e0o ch\u1ec9 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng b\u1edfi duy nh\u1ea5t m\u1ed9t qu\u1ed1c gia c\u00f3 h\u00ecnh th\u1ee9c ch\u00ednh ph\u1ee7 l\u00e0 ' C\u1ed9ng ho\u00e0 ' ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 24) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 2)) (Table (table-table_id 3))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id 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1", "inferred_code_readable": "", "score": -0.18542500107727022}]} {"index": 760, "beams": [{"question": "Cho bi\u1ebft th\u00e0nh ph\u1ed1 c\u00f3 nhi\u1ec1u ng\u01b0\u1eddi d\u00e2n s\u1eed d\u1ee5ng ' ti\u1ebfng Anh ' nh\u1ea5t .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 2) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 0)) (Table (table-table_id 3))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 1) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 23) (singleton-is_distinct False))))))))) (cond?-where (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 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(singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 2) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 0)) (Table (table-table_id 3))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 1) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 23) (singleton-is_distinct False))))))))) (cond?-where (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 24) (singleton-is_distinct False))))) (val-val1 (String (string-s \"english\"))))) (col_unit*-group_by (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 1) (singleton-is_distinct False))) (order_by?-order_by (order_by (order-order (Desc)) (val_unit*-val_units (Column 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(agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 14) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 15) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 2))) (cond?-conds))) (cond?-where (And (cond-left (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 12) (singleton-is_distinct False))))) (val-val1 (String (string-s \"Uniteda\"))))) (cond-right (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 12) (singleton-is_distinct False))))) (val-val1 (ValSql (sql-s (sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (Max)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit 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ch\u00e2u \u00c1 ' v\u1ec1 di\u1ec7n t\u00edch c\u00f3 t\u00ean l\u00e0 g\u00ec ? 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AND country.Region = \"Unitedctor\"", "inferred_code_readable": "", "score": -4.329146111481556}]} {"index": 764, "beams": [{"question": "Tu\u1ed5i th\u1ecd trung b\u00ecnh \u1edf c\u00e1c qu\u1ed1c gia n\u01a1i ' ti\u1ebfng Anh ' kh\u00f4ng ph\u1ea3i l\u00e0 ng\u00f4n ng\u1eef ch\u00ednh th\u1ee9c l\u00e0 bao nhi\u00eau ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (Avg)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 15) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 2))) (cond?-conds))) (cond?-where (Not (cond-c (In (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 8) (singleton-is_distinct False))))) (val-val1 (ValSql (sql-s (sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column 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(cond?-conds))) (cond?-where (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 24) (singleton-is_distinct False))))) (val-val1 (String (string-s \"english\"))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))))))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Avg(country.LifeExpectancy) FROM country WHERE country.Code NOT IN (SELECT countrylanguage.CountryCode FROM countrylanguage WHERE countrylanguage.Language = \"english\")", "inferred_code_readable": "", "score": -0.7729551144072744}]} {"index": 766, "beams": [{"question": "Cho bi\u1ebft s\u1ed1 l\u01b0\u1ee3ng ng\u01b0\u1eddi s\u1ed1ng \u1edf c\u00e1c qu\u1ed1c gia kh\u00f4ng s\u1eed d\u1ee5ng ' ti\u1ebfng Anh ' .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg 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"inferred_code": "SELECT country.Population FROM country WHERE country.Code NOT IN (SELECT countrylanguage.CountryCode FROM countrylanguage WHERE countrylanguage.Language = \"english\")", "inferred_code_readable": "", "score": -0.6081562836216818}]} {"index": 768, "beams": [{"question": "Cho bi\u1ebft ng\u00f4n ng\u1eef ch\u00ednh th\u1ee9c \u0111\u01b0\u1ee3c n\u00f3i \u1edf qu\u1ed1c gia c\u00f3 ng\u01b0\u1eddi \u0111\u1ee9ng \u0111\u1ea7u nh\u00e0 n\u01b0\u1edbc l\u00e0 ' Beatrix ' .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 25) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 2)) (Table (table-table_id 3))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 8) (singleton-is_distinct 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(select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 25) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 2)) (Table (table-table_id 3))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 8) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 23) (singleton-is_distinct False))))))))) (cond?-where (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 20) (singleton-is_distinct False))))) (val-val1 (String (string-s \"RodP\"))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT countrylanguage.IsOfficial FROM country JOIN 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Cho bi\u1ebft di\u1ec7n t\u00edch b\u1ec1 m\u1eb7t c\u1ee7a qu\u1ed1c gia n\u00e0y .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 9) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 13) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 2))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by (order_by (order-order (Asc)) (val_unit*-val_units (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 14) (singleton-is_distinct False))))))) (cond?-having) (int?-limit 1) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT country.Name, country.IndepYear FROM country ORDER BY country.Population Asc LIMIT 1", "inferred_code_readable": "", "score": -0.27954748257950257}]} {"index": 789, "beams": [{"question": "Cho bi\u1ebft t\u00ean , n\u0103m \u0111\u1ed9c l\u1eadp v\u00e0 di\u1ec7n t\u00edch b\u1ec1 m\u1eb7t c\u1ee7a qu\u1ed1c gia c\u00f3 d\u00e2n s\u1ed1 th\u1ea5p nh\u1ea5t .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 9) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 13) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 12) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 2))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by (order_by (order-order (Asc)) (val_unit*-val_units (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 14) (singleton-is_distinct False))))))) (cond?-having) (int?-limit 1) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT country.Name, country.IndepYear, country.SurfaceArea FROM country ORDER BY country.Population Asc LIMIT 1", "inferred_code_readable": "", "score": -1.4901143579493237e-05}]} {"index": 790, "beams": [{"question": "Qu\u1ed1c gia c\u00f3 di\u1ec7n t\u00edch l\u1edbn nh\u1ea5t t\u00ean l\u00e0 g\u00ec v\u00e0 c\u00f3 d\u00e2n s\u1ed1 l\u00e0 bao nhi\u00eau ? Cho bi\u1ebft nguy\u00ean th\u1ee7 qu\u1ed1c gia c\u1ee7a qu\u1ed1c gia n\u00e0y .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 20) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 14) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 2))) (cond?-conds))) (cond?-where (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 12) (singleton-is_distinct False))))) (val-val1 (ValSql (sql-s (sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (Max)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 12) 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(cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT country.Name, country.Population, country.HeadOfState FROM country WHERE country.SurfaceArea = (SELECT Max(country.SurfaceArea) FROM country)", "inferred_code_readable": "", "score": -0.0022475388388585316}]} {"index": 792, "beams": [{"question": "Cho bi\u1ebft t\u00ean c\u1ee7a c\u00e1c qu\u1ed1c gia s\u1eed d\u1ee5ng \u00edt nh\u1ea5t 3 ng\u00f4n ng\u1eef v\u00e0 s\u1ed1 l\u01b0\u1ee3ng ng\u00f4n ng\u1eef m\u1ed7i qu\u1ed1c gia \u0111\u00e3 s\u1eed d\u1ee5ng .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 9) 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(col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 5) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 0))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))))))) (col_unit*-group_by (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 4) (singleton-is_distinct False))) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Count(*), city.District FROM city WHERE city.Population > (SELECT Avg(city.Population) FROM city) GROUP BY city.District", "inferred_code_readable": "", "score": -0.010181187558011118}]} {"index": 795, "beams": [{"question": "Cho bi\u1ebft t\u1ea5t c\u1ea3 c\u00e1c qu\u1eadn c\u0169ng nh\u01b0 l\u00e0 s\u1ed1 l\u01b0\u1ee3ng c\u00e1c th\u00e0nh ph\u1ed1 c\u00f3 d\u00e2n s\u1ed1 cao h\u01a1n m\u1ee9c trung b\u00ecnh \u1edf 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(table_unit*-table_units (Table (table-table_id 0))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))))))) (col_unit*-group_by (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 4) (singleton-is_distinct False))) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Count(*), city.District FROM city WHERE city.Population > (SELECT Avg(city.Population) FROM city) GROUP BY city.District", "inferred_code_readable": "", "score": -0.002077928740611412}]} {"index": 796, "beams": [{"question": "Cho bi\u1ebft nh\u1eefng h\u00ecnh th\u1ee9c ch\u00ednh ph\u1ee7 c\u00f3 tu\u1ed5i th\u1ecd trung b\u00ecnh c\u1ee7a ng\u01b0\u1eddi d\u00e2n cao h\u01a1n 72 v\u00e0 t\u1ed5ng s\u1ed1 d\u00e2n c\u1ee7a m\u1ed7i h\u00ecnh th\u1ee9c ch\u00ednh ph\u1ee7 .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs 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"inferred_code_readable": "", "score": -0.6587222974288878}]} {"index": 797, "beams": [{"question": "Nh\u1eefng h\u00ecnh th\u1ee9c ch\u00ednh ph\u1ee7 n\u00e0o c\u00f3 tu\u1ed5i th\u1ecd trung b\u00ecnh c\u1ee7a ng\u01b0\u1eddi d\u00e2n cao h\u01a1n 72 ? \u0110\u1ed3ng th\u1eddi , cho bi\u1ebft t\u1ed5ng s\u1ed1 d\u00e2n c\u1ee7a t\u1eebng h\u00ecnh th\u1ee9c ch\u00ednh ph\u1ee7 .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 19) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (Sum)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 14) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 2))) (cond?-conds))) (cond?-where) (col_unit*-group_by (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 19) (singleton-is_distinct False))) (order_by?-order_by) (cond?-having (Ge (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (Avg)) (column-col_id 15) (singleton-is_distinct False))))) (val-val1 (Number (object-f 180))))) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT country.GovernmentForm, Sum(country.Population) FROM country GROUP BY country.GovernmentForm HAVING Avg(country.LifeExpectancy) >= 180", "inferred_code_readable": "", "score": -0.5580831064914378}]} {"index": 798, "beams": [{"question": "Nh\u1eefng l\u1ee5c \u0111\u1ecba n\u00e0o c\u00f3 tu\u1ed5i th\u1ecd trung b\u00ecnh th\u1ea5p h\u01a1n 72 ? 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Cho bi\u1ebft di\u1ec7n t\u00edch b\u1ec1 m\u1eb7t c\u1ee7a nh\u1eefng qu\u1ed1c gia n\u00e0y .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 12) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 9) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 2))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by (order_by (order-order (Desc)) (val_unit*-val_units (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 12) (singleton-is_distinct False))))))) (cond?-having) (int?-limit 5) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT country.SurfaceArea, country.Name FROM 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"inferred_code": "SELECT country.Name FROM country ORDER BY country.Population Asc LIMIT 3", "inferred_code_readable": "", "score": -3.254386533058096e-05}]} {"index": 806, "beams": [{"question": "c\u00f3 bao nhi\u00eau qu\u1ed1c gia \u1edf ' ch\u00e2u \u00c1 '", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (Count)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 0) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 2))) (cond?-conds))) (cond?-where (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 10) (singleton-is_distinct False))))) (val-val1 (String (string-s \"E\"))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Count(*) FROM country WHERE country.Continent = \"E\"", "inferred_code_readable": "", "score": -0.3792229851876101}]} {"index": 807, "beams": [{"question": "\u0110\u1ebfm s\u1ed1 l\u01b0\u1ee3ng qu\u1ed1c gia \u1edf ' ch\u00e2u \u00c1 ' .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (Count)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 0) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 2))) (cond?-conds))) (cond?-where (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 10) (singleton-is_distinct False))))) (val-val1 (String (string-s \"E\"))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Count(*) FROM country WHERE country.Continent = \"E\"", "inferred_code_readable": "", "score": -0.12541296702361393}]} {"index": 808, "beams": [{"question": "T\u00ean c\u1ee7a c\u00e1c qu\u1ed1c gia \u1edf l\u1ee5c \u0111\u1ecba ' ch\u00e2u \u00c2u ' v\u00e0 c\u00f3 d\u00e2n s\u1ed1 l\u00e0 80000 ng\u01b0\u1eddi ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 9) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 2))) (cond?-conds))) (cond?-where (And (cond-left (Gt (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 10) (singleton-is_distinct False))))) (val-val1 (Number (object-f 100000))))) (cond-right (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 14) (singleton-is_distinct False))))) (val-val1 (String (string-s \"UnitedI\"))))))) (col_unit*-group_by) 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[{"question": "Nh\u1eefng chuy\u00ean gia n\u00e0o \u0111\u00e3 kh\u00f4ng th\u1ef1c hi\u1ec7n c\u00e1c \u0111i\u1ec1u tr\u1ecb tr\u00ean ch\u00f3 ? 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Li\u1ec7t k\u00ea id , t\u00ean v\u00e0 h\u1ecd c\u1ee7a ch\u1ee7 s\u1edf h\u1eefu n\u00e0y .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 10) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 11) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 12) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 4)) (Table (table-table_id 5))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 10) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 21) (singleton-is_distinct False))))))))) (cond?-where) (col_unit*-group_by (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 10) (singleton-is_distinct False))) (order_by?-order_by (order_by (order-order (Desc)) (val_unit*-val_units (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (Count)) (column-col_id 0) (singleton-is_distinct False))))))) (cond?-having) (int?-limit 1) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Owners.owner_id, Owners.first_name, Owners.last_name FROM Owners JOIN Dogs ON Owners.owner_id = Dogs.owner_id GROUP BY Owners.owner_id ORDER BY Count(*) Desc LIMIT 1", "inferred_code_readable": "", "score": -0.0009790692121072198}]} {"index": 931, "beams": [{"question": "Cho bi\u1ebft id v\u00e0 t\u00ean \u0111\u1ea7y \u0111\u1ee7 c\u1ee7a ng\u01b0\u1eddi ch\u1ee7 s\u1edf h\u1eefu nhi\u1ec1u ch\u00f3 nh\u1ea5t .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 10) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 11) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 12) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 4)) (Table (table-table_id 5))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 10) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 21) (singleton-is_distinct False))))))))) (cond?-where) (col_unit*-group_by (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 10) (singleton-is_distinct False))) (order_by?-order_by (order_by (order-order (Desc)) (val_unit*-val_units (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (Count)) (column-col_id 0) (singleton-is_distinct False))))))) (cond?-having) (int?-limit 1) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Owners.owner_id, Owners.first_name, Owners.last_name FROM Owners JOIN Dogs ON Owners.owner_id = Dogs.owner_id GROUP BY Owners.owner_id ORDER BY Count(*) Desc LIMIT 1", "inferred_code_readable": "", "score": -0.0002893095226070841}]} {"index": 932, "beams": [{"question": "Nh\u1eefng chuy\u00ean gia n\u00e0o \u0111\u00e3 th\u1ef1c hi\u1ec7n \u00edt nh\u1ea5t hai qu\u00e1 tr\u00ecnh \u0111i\u1ec1u tr\u1ecb ? Cho bi\u1ebft id , vai tr\u00f2 v\u00e0 t\u00ean c\u1ee7a chuy\u00ean gia n\u00e0y .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 33) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 34) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 35) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 6)) (Table (table-table_id 7))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 46) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit 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\u0111i\u1ec1u tr\u1ecb .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 33) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 34) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 35) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 6)) (Table (table-table_id 7))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 46) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 33) 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Sum(Treatments.cost_of_treatment) Desc LIMIT 1", "inferred_code_readable": "", "score": -0.010693114511305168}]} {"index": 938, "beams": [{"question": "Cho bi\u1ebft m\u00f4 t\u1ea3 v\u1ec1 lo\u1ea1i \u0111i\u1ec1u tr\u1ecb c\u00f3 chi ph\u00ed th\u1ea5p nh\u1ea5t .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 9) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 3)) (Table (table-table_id 7))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 8) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 47) (singleton-is_distinct False))))))))) (cond?-where) (col_unit*-group_by) (order_by?-order_by (order_by (order-order (Asc)) 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(table-table_id 7))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Professionals.first_name, Professionals.last_name FROM Professionals JOIN Treatments ON Professionals.professional_id = Treatments.professional_id WHERE Treatments.cost_of_treatment < (SELECT Avg(Treatments.cost_of_treatment) FROM Treatments)", "inferred_code_readable": "", "score": -7.653201544854937e-05}]} {"index": 945, "beams": [{"question": "Nh\u1eefng chuy\u00ean gia n\u00e0o \u0111\u00e3 th\u1ef1c hi\u1ec7n m\u1ed9t s\u1ed1 \u0111i\u1ec1u tr\u1ecb c\u00f3 chi ph\u00ed th\u1ea5p h\u01a1n m\u1ee9c trung b\u00ecnh ? 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-0.000695026509561103}]} {"index": 946, "beams": [{"question": "Li\u1ec7t k\u00ea ng\u00e0y c\u1ee7a t\u1eebng l\u01b0\u1ee3t \u0111i\u1ec1u tr\u1ecb , c\u0169ng nh\u01b0 l\u00e0 t\u00ean c\u1ee7a chuy\u00ean gia \u0111\u00e3 th\u1ef1c hi\u1ec7n l\u01b0\u1ee3t \u0111i\u1ec1u tr\u1ecb t\u01b0\u01a1ng \u1ee9ng .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 48) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 35) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 7)) (Table (table-table_id 6))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 46) (singleton-is_distinct 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"Cho bi\u1ebft t\u00ean \u0111\u1ea7y \u0111\u1ee7 c\u1ee7a nh\u1eefng ng\u01b0\u1eddi ch\u1ee7 s\u1edf h\u1eefu c\u0169ng nh\u01b0 l\u00e0 k\u00edch c\u1ee1 c\u00e1c con ch\u00f3 c\u1ee7a t\u1eebng ng\u01b0\u1eddi .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 11) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 12) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 29) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 4)) (Table (table-table_id 5))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 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Owners.last_name FROM Owners JOIN Dogs ON Owners.owner_id = Dogs.owner_id", "inferred_code_readable": "", "score": -0.17372638894855186}]} {"index": 952, "beams": [{"question": "Li\u1ec7t k\u00ea c\u00e1c c\u1eb7p bao g\u1ed3m t\u00ean ng\u01b0\u1eddi ch\u1ee7 s\u1edf h\u1eefu v\u00e0 t\u00ean con ch\u00f3 c\u1ee7a anh \u1ea5y ho\u1eb7c c\u00f4 \u1ea5y .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 11) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 25) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 4)) (Table (table-table_id 5))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) 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(col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 12) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 4)) (Table (table-table_id 5))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 10) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 21) (singleton-is_distinct False))))))))) (cond?-where) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Owners.first_name, Owners.last_name FROM Owners JOIN Dogs ON Owners.owner_id = Dogs.owner_id", "inferred_code_readable": "", "score": -0.0029671350488342796}]} {"index": 954, "beams": [{"question": "Cho bi\u1ebft t\u00ean c\u1ee7a nh\u1eefng con ch\u00f3 thu\u1ed9c gi\u1ed1ng hi\u1ebfm nh\u1ea5t v\u00e0 ng\u00e0y \u0111i\u1ec1u tr\u1ecb c\u1ee7a t\u1eebng con ch\u00f5 .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 25) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 48) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 5)) (Table (table-table_id 7))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 20) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 20) (singleton-is_distinct False))))))))) (cond?-where) (col_unit*-group_by) (order_by?-order_by (order_by (order-order (Asc)) (val_unit*-val_units (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 2) (singleton-is_distinct False))))))) (cond?-having) (int?-limit 1) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Dogs.name, Treatments.date_of_treatment FROM Breeds JOIN Dogs ON Breeds.breed_code = Dogs.breed_code JOIN Treatments ON Dogs.dog_id = Treatments.dog_id ORDER BY Breeds.breed_name Asc LIMIT 1", "inferred_code_readable": "", "score": -1.1763061449954932}]} {"index": 955, "beams": [{"question": "Nh\u1eefng con ch\u00f3 thu\u1ed9c gi\u1ed1ng hi\u1ebfm nh\u1ea5t c\u00f3 t\u00ean l\u00e0 g\u00ec ? Cho bi\u1ebft ng\u00e0y \u0111i\u1ec1u tr\u1ecb c\u1ee7a nh\u1eefng con ch\u00f3 n\u00e0y ..", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 25) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 5)) (Table (table-table_id 0))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 23) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 1) (singleton-is_distinct False))))))))) (cond?-where) (col_unit*-group_by) (order_by?-order_by (order_by (order-order (Asc)) (val_unit*-val_units (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 2) (singleton-is_distinct False))))))) (cond?-having) (int?-limit 1) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Dogs.name FROM Breeds JOIN Dogs ON Breeds.breed_code = Dogs.breed_code ORDER BY Breeds.breed_name Asc LIMIT 1", "inferred_code_readable": "", "score": -0.07988744934160508}]} {"index": 956, "beams": [{"question": "Nh\u1eefng con ch\u00f3 \u0111\u01b0\u1ee3c nu\u00f4i b\u1edfi nh\u1eefng ng\u01b0\u1eddi ch\u1ee7 s\u1edf h\u1eefu s\u1ed1ng \u1edf ' Virginia ' c\u00f3 t\u00ean l\u00e0 g\u00ec ? 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(order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Dogs.name FROM Owners JOIN Dogs ON Owners.owner_id = Dogs.owner_id WHERE Owners.state = \"Texas\"", "inferred_code_readable": "", "score": -1.4309804879538959}]} {"index": 957, "beams": [{"question": "Cho bi\u1ebft t\u00ean c\u1ee7a nh\u1eefng ng\u01b0\u1eddi ch\u1ee7 s\u1edf ch\u00f3 h\u1eefu s\u1ed1ng \u1edf ' Virginia ' v\u00e0 t\u00ean c\u1ee7a nh\u1eefng con ch\u00f3 m\u00e0 h\u1ecd s\u1edf h\u1eefu .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 11) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 12) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 4)) (Table (table-table_id 5))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 10) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 21) (singleton-is_distinct False))))))))) (cond?-where (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 15) (singleton-is_distinct False))))) (val-val1 (String (string-s \"s\"))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Owners.first_name, Owners.last_name FROM Owners JOIN Dogs ON Owners.owner_id = Dogs.owner_id WHERE Owners.state = \"s\"", "inferred_code_readable": "", "score": -1.2582278725635092}]} {"index": 958, "beams": [{"question": "Ng\u00e0y nh\u1eadp vi\u1ec7n v\u00e0 ng\u00e0y xu\u1ea5t vi\u1ec7n c\u1ee7a nh\u1eefng con ch\u00f3 \u0111\u00e3 tr\u1ea3i qua \u0111i\u1ec1u tr\u1ecb l\u00e0 nh\u1eefng ng\u00e0y n\u00e0o ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 30) (singleton-is_distinct False)))))) (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 32) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 7)) (Table (table-table_id 5))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 45) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 20) (singleton-is_distinct False))))))))) (cond?-where) (col_unit*-group_by) 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tr\u01b0\u1edbc n\u0103m 1945 v\u00e0 sau n\u0103m 1955 mang nh\u1eefng qu\u1ed1c t\u1ecbch n\u00e0o ?", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 5) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 0))) (cond?-conds))) (cond?-where (Lt (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 3) (singleton-is_distinct False))))) (val-val1 (Number (object-f 1980))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect (sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 5) (singleton-is_distinct False))))))))) (from-from (from 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(singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 2))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Count(*) FROM Other_Available_Features", "inferred_code_readable": "", "score": -5.2452003842518025e-06}]} {"index": 1031, "beams": [{"question": "Cho bi\u1ebft lo\u1ea1i t\u00ednh n\u0103ng c\u1ee7a t\u00ednh n\u0103ng ' \u0110i\u1ec1u ho\u00e0 ' .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 2) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 0)) (Table (table-table_id 2))) (cond?-conds (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 1) (singleton-is_distinct False))))) (val-val1 (ColUnit (col_unit-c (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 6) (singleton-is_distinct False))))))))) (cond?-where (Eq (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 7) (singleton-is_distinct False))))) (val-val1 (String (string-s \"Gras\"))))) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Ref_Feature_Types.feature_type_name FROM Ref_Feature_Types JOIN Other_Available_Features ON Ref_Feature_Types.feature_type_code = Other_Available_Features.feature_type_code WHERE Other_Available_Features.feature_name = \"Gras\"", "inferred_code_readable": "", "score": -1.116550969853229}]} {"index": 1032, "beams": [{"question": "Hi\u1ec3n th\u1ecb m\u00f4 t\u1ea3 v\u1ec1 t\u1ea5t c\u1ea3 c\u00e1c lo\u1ea1i h\u00ecnh b\u1ea5t \u0111\u1ed9ng s\u1ea3n .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) (val_unit-val_unit (Column (col_unit-col_unit1 (col_unit (agg_type-agg_id (NoneAggOp)) (column-col_id 4) (singleton-is_distinct False))))))))) (from-from (from (table_unit*-table_units (Table (table-table_id 1))) (cond?-conds))) (cond?-where) (col_unit*-group_by) (order_by?-order_by) (cond?-having) (int?-limit) (sql?-intersect) (sql?-except) (sql?-union))", "inferred_code": "SELECT Ref_Property_Types.property_type_description FROM Ref_Property_Types", "inferred_code_readable": "", "score": -8.344649629066225e-07}]} {"index": 1033, "beams": [{"question": "Cho bi\u1ebft t\u00ean c\u1ee7a nh\u1eefng b\u1ea5t \u0111\u1ed9ng s\u1ea3n c\u00f3 lo\u1ea1i h\u00ecnh l\u00e0 ' Nh\u00e0 ' ho\u1eb7c ' C\u0103n h\u1ed9 ' v\u1edbi nhi\u1ec1u h\u01a1n 1 ph\u00f2ng .", "model_output": "(sql (select-select (select (singleton-is_distinct False) (agg*-aggs (agg (agg_type-agg_id (NoneAggOp)) 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