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b/tasks/readable/001/gold_csv/GQRY-A.1-B.1-C.0-D.2.csv @@ -0,0 +1,26 @@ +n_nationkey,n_name,total_revenue +0,ALGERIA,1039195526.0151951 +1,ARGENTINA,1109970653.2429976 +2,BRAZIL,1050142285.3091059 +3,CANADA,1109741442.4865954 +4,EGYPT,1078305911.0595047 +5,ETHIOPIA,1011355494.4366996 +6,FRANCE,1044839726.6324013 +7,GERMANY,1059425937.0093055 +8,INDIA,1012341560.2564012 +9,INDONESIA,1027695516.3612038 +10,IRAN,1097221716.7803009 +11,IRAQ,1049550213.3512017 +12,JAPAN,1042825879.8488011 +13,JORDAN,971205284.4319032 +14,KENYA,1043312193.6443049 +15,MOROCCO,1052169328.9372982 +16,MOZAMBIQUE,1027507866.9911946 +17,PERU,1032434867.6072991 +18,CHINA,1102183987.3469036 +19,ROMANIA,1046445957.4058101 +20,SAUDI ARABIA,1007661385.0669944 +21,VIETNAM,1043226152.0252124 +22,RUSSIA,1076029866.4903998 +23,UNITED KINGDOM,1028654045.114998 +24,UNITED STATES,1092705466.1626074 diff --git a/tasks/readable/001/gold_csv/GQRY-A.1-B.1-C.0-D.3.csv b/tasks/readable/001/gold_csv/GQRY-A.1-B.1-C.0-D.3.csv new file mode 100644 index 0000000000000000000000000000000000000000..d9743b5374746cd33146121f62eaaf000d80e489 --- /dev/null +++ b/tasks/readable/001/gold_csv/GQRY-A.1-B.1-C.0-D.3.csv @@ -0,0 +1,26 @@ +n_nationkey,n_name,total_revenue +0,ALGERIA,1008406234.3298981 +1,ARGENTINA,1083245579.910994 +2,BRAZIL,1023142254.8978047 +3,CANADA,1079432591.6533968 +4,EGYPT,1046766701.0627038 +5,ETHIOPIA,983814044.2978987 +6,FRANCE,1015139785.7468029 +7,GERMANY,1029344115.6720037 +8,INDIA,982329346.9204023 +9,INDONESIA,1001572805.4428058 +10,IRAN,1065086114.9080982 +11,IRAQ,1020025758.8086008 +12,JAPAN,1015338991.2334981 +13,JORDAN,945771391.3869022 +14,KENYA,1013233463.5135058 +15,MOROCCO,1023278967.2553971 +16,MOZAMBIQUE,1001313532.2816943 +17,PERU,1003364016.9296988 +18,CHINA,1076966634.4921043 +19,ROMANIA,1020990926.226409 +20,SAUDI ARABIA,986002725.0940971 +21,VIETNAM,1015163016.6264105 +22,RUSSIA,1047659846.2737013 +23,UNITED KINGDOM,1004585933.9541959 +24,UNITED STATES,1065501779.8184085 diff --git a/tasks/readable/001/gold_csv/GQRY-A.1-B.1-C.1-D.0.csv b/tasks/readable/001/gold_csv/GQRY-A.1-B.1-C.1-D.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..6231851a719d124b1354fc214889d2dbd15e3075 --- /dev/null +++ b/tasks/readable/001/gold_csv/GQRY-A.1-B.1-C.1-D.0.csv @@ -0,0 +1,26 @@ +n_nationkey,n_name,total_revenue +0,ALGERIA,1204142109.1402009 +1,ARGENTINA,1142928047.4723024 +2,BRAZIL,1155616918.7640018 +3,CANADA,1163298281.9121928 +4,EGYPT,1241590787.4627018 +5,ETHIOPIA,1076934331.4044037 +6,FRANCE,1165165191.1397035 +7,GERMANY,1281879561.813006 +8,INDIA,1035653783.3979039 +9,INDONESIA,1228092173.96399 +10,IRAN,1196566641.7025979 +11,IRAQ,1071493580.4620054 +12,JAPAN,1200675417.6918066 +13,JORDAN,1215237639.3224986 +14,KENYA,1105535085.8401916 +15,MOROCCO,1123305923.7297013 +16,MOZAMBIQUE,1056751774.2678005 +17,PERU,1173299266.1038866 +18,CHINA,1138006952.0889018 +19,ROMANIA,1260283969.2878017 +20,SAUDI ARABIA,977725432.9094008 +21,VIETNAM,1242286259.098398 +22,RUSSIA,1191287594.5217168 +23,UNITED KINGDOM,1217508929.144593 +24,UNITED STATES,1117199067.9973018 diff --git a/tasks/readable/001/gold_csv/GQRY-A.1-B.1-C.1-D.1.csv b/tasks/readable/001/gold_csv/GQRY-A.1-B.1-C.1-D.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..5946e0ee5ad602b1ee83249b3c65e665ff13ba39 --- /dev/null +++ b/tasks/readable/001/gold_csv/GQRY-A.1-B.1-C.1-D.1.csv @@ -0,0 +1,26 @@ +n_nationkey,n_name,total_revenue +0,ALGERIA,1091553248.645099 +1,ARGENTINA,1036746093.0675036 +2,BRAZIL,1045438035.2464021 +3,CANADA,1056443240.3702978 +4,EGYPT,1125808560.8979003 +5,ETHIOPIA,978395090.4097024 +6,FRANCE,1054531158.0298032 +7,GERMANY,1167899304.0586104 +8,INDIA,944782730.0546058 +9,INDONESIA,1112359836.5647986 +10,IRAN,1080933484.282903 +11,IRAQ,970385211.9601046 +12,JAPAN,1090033256.27711 +13,JORDAN,1100674506.3759062 +14,KENYA,1003878213.7694976 +15,MOROCCO,1017901969.3157992 +16,MOZAMBIQUE,957002760.6093032 +17,PERU,1066438476.4506905 +18,CHINA,1035691490.3987982 +19,ROMANIA,1139515041.7260985 +20,SAUDI ARABIA,887035837.0888019 +21,VIETNAM,1125919797.3547049 +22,RUSSIA,1080588007.7361076 +23,UNITED KINGDOM,1103437243.9916923 +24,UNITED STATES,1014527985.9123006 diff --git a/tasks/readable/001/gold_csv/GQRY-A.1-B.1-C.1-D.2.csv b/tasks/readable/001/gold_csv/GQRY-A.1-B.1-C.1-D.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..825adae9560262e29848a801a39e3a755cfadc2d --- /dev/null +++ b/tasks/readable/001/gold_csv/GQRY-A.1-B.1-C.1-D.2.csv @@ -0,0 +1,26 @@ +n_nationkey,n_name,total_revenue +0,ALGERIA,1090171026.2188997 +1,ARGENTINA,1035419248.9154022 +2,BRAZIL,1044191043.2548039 +3,CANADA,1052945879.2647983 +4,EGYPT,1124439489.0506005 +5,ETHIOPIA,971127220.7557027 +6,FRANCE,1053410890.9745015 +7,GERMANY,1168946902.2132065 +8,INDIA,940410833.8835042 +9,INDONESIA,1117752352.928999 +10,IRAN,1081206569.1252036 +11,IRAQ,968262673.7852055 +12,JAPAN,1090660814.0557096 +13,JORDAN,1099772306.0195057 +14,KENYA,1000523694.7757978 +15,MOROCCO,1019588008.0907997 +16,MOZAMBIQUE,957035115.9817032 +17,PERU,1063552448.1836913 +18,CHINA,1032379688.6147999 +19,ROMANIA,1136168312.6956003 +20,SAUDI ARABIA,890103725.0416028 +21,VIETNAM,1118987437.490505 +22,RUSSIA,1082593720.3135076 +23,UNITED KINGDOM,1102657027.6649902 +24,UNITED STATES,1013841834.7156032 diff --git a/tasks/readable/001/gold_csv/GQRY-A.1-B.1-C.1-D.3.csv b/tasks/readable/001/gold_csv/GQRY-A.1-B.1-C.1-D.3.csv new file mode 100644 index 0000000000000000000000000000000000000000..8cb3071637a46268dd68fefa881cb13fdfeffbe4 --- /dev/null +++ b/tasks/readable/001/gold_csv/GQRY-A.1-B.1-C.1-D.3.csv @@ -0,0 +1,26 @@ +n_nationkey,n_name,total_revenue +0,ALGERIA,1065275621.4061979 +1,ARGENTINA,1010667067.405201 +2,BRAZIL,1018542344.8983012 +3,CANADA,1022789621.9462004 +4,EGYPT,1095574317.657601 +5,ETHIOPIA,945956817.9625021 +6,FRANCE,1028080473.9854015 +7,GERMANY,1138265032.9788065 +8,INDIA,917006854.7333027 +9,INDONESIA,1084708066.9694958 +10,IRAN,1052119467.7643036 +11,IRAQ,942620481.2463036 +12,JAPAN,1060954241.4967124 +13,JORDAN,1069676027.0297098 +14,KENYA,973896823.9914978 +15,MOROCCO,990256998.2750005 +16,MOZAMBIQUE,929868877.5963032 +17,PERU,1033849119.7782905 +18,CHINA,1002404706.4520009 +19,ROMANIA,1108072081.3819046 +20,SAUDI ARABIA,868193032.848504 +21,VIETNAM,1093447062.2094002 +22,RUSSIA,1049240665.9732034 +23,UNITED KINGDOM,1070262326.0141926 +24,UNITED STATES,985748426.7370992 diff --git a/tasks/readable/001/task_readable.sql b/tasks/readable/001/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..cb0f6062726adbcd9dbe725c644bee494c5c357d --- /dev/null +++ b/tasks/readable/001/task_readable.sql @@ -0,0 +1,1824 @@ +/* +{ + "qid": "001", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "retails", + "question": "Report the total revenue for each nation in 1995.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "total revenue", + "type": "finite", + "ambiguity_type": "semantic_computation", + "interpretations": [ + "before discount (Gross revenue)", + "after discount (Net revenue)" + ], + "intended_interpretation_idx": 0 + }, + { + "id": "B", + "phrase": "total revenue", + "type": "finite", + "ambiguity_type": "semantic_computation", + "interpretations": [ + "include returned items", + "exclude returned items" + ], + "intended_interpretation_idx": 0 + }, + { + "id": "C", + "phrase": "for each nation", + "type": "finite", + "ambiguity_type": "semantic_table", + "interpretations": [ + "for each customer nation", + "for each supplier nation" + ], + "intended_interpretation_idx": 1 + }, + { + "id": "D", + "phrase": "in 1995", + "type": "finite", + "ambiguity_type": "semantic_column", + "interpretations": [ + "order date in 1995", + "commitment date in 1995", + "shipment date in 1995", + "receipt date in 1995" + ], + "intended_interpretation_idx": 3 + } + ], + "gold_intended_query_id": "GQRY-A.0-B.0-C.1-D.3", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0-B.0-C.0-D.0` ----- +/* +{ + "id": "GQRY-A.0-B.0-C.0-D.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] in 1995": "order date in 1995", + "[B] for each nation": "for each customer nation", + "[C] total revenue": "before discount (Gross revenue)", + "[D] total revenue": "include returned items" + } + } +} +*/ +WITH revenue AS ( +SELECT n.n_nationkey, +n.n_name, +COALESCE(SUM(l.l_extendedprice), 0) AS total_revenue +FROM lineitem l +JOIN orders o ON o.o_orderkey = l.l_orderkey +JOIN customer c ON o.o_custkey = c.c_custkey +JOIN nation n ON c.c_nationkey = n.n_nationkey +WHERE strftime('%Y', o.o_orderdate) = '1995' +GROUP BY n.n_nationkey, n.n_name +) +SELECT n.n_nationkey, +n.n_name, +COALESCE(r.total_revenue, 0) AS total_revenue +FROM nation n +LEFT JOIN revenue r ON r.n_nationkey = n.n_nationkey; +/* EXEC RESULT + n_nationkey n_name total_revenue + 0 ALGERIA 1.391923e+09 + 1 ARGENTINA 1.453863e+09 + 2 BRAZIL 1.381266e+09 + 3 CANADA 1.472857e+09 + 4 EGYPT 1.448095e+09 +... TRUNCATED ... + 20 SAUDI ARABIA 1.326805e+09 + 21 VIETNAM 1.371851e+09 + 22 RUSSIA 1.413990e+09 + 23 UNITED KINGDOM 1.362103e+09 + 24 UNITED STATES 1.461729e+09 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.0-C.0-D.1` ----- +/* +{ + "id": "GQRY-A.0-B.0-C.0-D.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] in 1995": "commitment date in 1995", + "[B] for each nation": "for each customer nation", + "[C] total revenue": "before discount (Gross revenue)", + "[D] total revenue": "include returned items" + } + } +} +*/ +WITH revenue AS ( +SELECT n.n_nationkey, +n.n_name, +COALESCE(SUM(l.l_extendedprice), 0) AS total_revenue +FROM lineitem l +JOIN orders o ON o.o_orderkey = l.l_orderkey +JOIN customer c ON o.o_custkey = c.c_custkey +JOIN nation n ON c.c_nationkey = n.n_nationkey +WHERE strftime('%Y', l.l_commitdate) = '1995' +GROUP BY n.n_nationkey, n.n_name +) +SELECT n.n_nationkey, +n.n_name, +COALESCE(r.total_revenue, 0) AS total_revenue +FROM nation n +LEFT JOIN revenue r ON r.n_nationkey = n.n_nationkey; +/* EXEC RESULT + n_nationkey n_name total_revenue + 0 ALGERIA 1.382159e+09 + 1 ARGENTINA 1.467158e+09 + 2 BRAZIL 1.390410e+09 + 3 CANADA 1.474130e+09 + 4 EGYPT 1.432647e+09 +... TRUNCATED ... + 20 SAUDI ARABIA 1.349162e+09 + 21 VIETNAM 1.377544e+09 + 22 RUSSIA 1.431568e+09 + 23 UNITED KINGDOM 1.365573e+09 + 24 UNITED STATES 1.460255e+09 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.0-C.0-D.2` ----- +/* +{ + "id": "GQRY-A.0-B.0-C.0-D.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] in 1995": "shipment date in 1995", + "[B] for each nation": "for each customer nation", + "[C] total revenue": "before discount (Gross revenue)", + "[D] total revenue": "include returned items" + } + } +} +*/ +WITH revenue AS ( +SELECT n.n_nationkey, +n.n_name, +COALESCE(SUM(l.l_extendedprice), 0) AS total_revenue +FROM lineitem l +JOIN orders o ON o.o_orderkey = l.l_orderkey +JOIN customer c ON o.o_custkey = c.c_custkey +JOIN nation n ON c.c_nationkey = n.n_nationkey +WHERE strftime('%Y', l.l_shipdate) = '1995' +GROUP BY n.n_nationkey, n.n_name +) +SELECT n.n_nationkey, +n.n_name, +COALESCE(r.total_revenue, 0) AS total_revenue +FROM nation n +LEFT JOIN revenue r ON r.n_nationkey = n.n_nationkey; +/* EXEC RESULT + n_nationkey n_name total_revenue + 0 ALGERIA 1.374909e+09 + 1 ARGENTINA 1.475768e+09 + 2 BRAZIL 1.389602e+09 + 3 CANADA 1.475634e+09 + 4 EGYPT 1.432775e+09 +... TRUNCATED ... + 20 SAUDI ARABIA 1.347251e+09 + 21 VIETNAM 1.387260e+09 + 22 RUSSIA 1.430246e+09 + 23 UNITED KINGDOM 1.372975e+09 + 24 UNITED STATES 1.458680e+09 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.0-C.0-D.3` ----- +/* +{ + "id": "GQRY-A.0-B.0-C.0-D.3", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] in 1995": "receipt date in 1995", + "[B] for each nation": "for each customer nation", + "[C] total revenue": "before discount (Gross revenue)", + "[D] total revenue": "include returned items" + } + } +} +*/ +WITH revenue AS ( +SELECT n.n_nationkey, +n.n_name, +COALESCE(SUM(l.l_extendedprice), 0) AS total_revenue +FROM lineitem l +JOIN orders o ON o.o_orderkey = l.l_orderkey +JOIN customer c ON o.o_custkey = c.c_custkey +JOIN nation n ON c.c_nationkey = n.n_nationkey +WHERE strftime('%Y', l.l_receiptdate) = '1995' +GROUP BY n.n_nationkey, n.n_name +) +SELECT n.n_nationkey, +n.n_name, +COALESCE(r.total_revenue, 0) AS total_revenue +FROM nation n +LEFT JOIN revenue r ON r.n_nationkey = n.n_nationkey; +/* EXEC RESULT + n_nationkey n_name total_revenue + 0 ALGERIA 1.371612e+09 + 1 ARGENTINA 1.477910e+09 + 2 BRAZIL 1.392735e+09 + 3 CANADA 1.473537e+09 + 4 EGYPT 1.430395e+09 +... TRUNCATED ... + 20 SAUDI ARABIA 1.352876e+09 + 21 VIETNAM 1.388206e+09 + 22 RUSSIA 1.432095e+09 + 23 UNITED KINGDOM 1.377057e+09 + 24 UNITED STATES 1.459936e+09 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.0-C.1-D.0` ----- +/* +{ + "id": "GQRY-A.0-B.0-C.1-D.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] in 1995": "order date in 1995", + "[B] for each nation": "for each supplier nation", + "[C] total revenue": "before discount (Gross revenue)", + "[D] total revenue": "include returned items" + } + } +} +*/ +WITH revenue AS ( +SELECT n.n_nationkey, +n.n_name, +COALESCE(SUM(l.l_extendedprice), 0) AS total_revenue +FROM lineitem AS l +JOIN supplier AS s ON s.s_suppkey = l.l_suppkey +JOIN orders o ON o.o_orderkey = l.l_orderkey +JOIN nation AS n ON s.s_nationkey = n.n_nationkey +WHERE strftime('%Y', o.o_orderdate) = '1995' +GROUP BY n.n_nationkey, n.n_name +) +SELECT n.n_nationkey, +n.n_name, +COALESCE(r.total_revenue, 0) AS total_revenue +FROM nation n +LEFT JOIN revenue r ON r.n_nationkey = n.n_nationkey; +/* EXEC RESULT + n_nationkey n_name total_revenue + 0 ALGERIA 1.444741e+09 + 1 ARGENTINA 1.374122e+09 + 2 BRAZIL 1.394563e+09 + 3 CANADA 1.398804e+09 + 4 EGYPT 1.494428e+09 +... TRUNCATED ... + 20 SAUDI ARABIA 1.170963e+09 + 21 VIETNAM 1.498923e+09 + 22 RUSSIA 1.430430e+09 + 23 UNITED KINGDOM 1.465177e+09 + 24 UNITED STATES 1.341487e+09 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.0-C.1-D.1` ----- +/* +{ + "id": "GQRY-A.0-B.0-C.1-D.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] in 1995": "commitment date in 1995", + "[B] for each nation": "for each supplier nation", + "[C] total revenue": "before discount (Gross revenue)", + "[D] total revenue": "include returned items" + } + } +} +*/ +WITH revenue AS ( +SELECT n.n_nationkey, +n.n_name, +COALESCE(SUM(l.l_extendedprice), 0) AS total_revenue +FROM lineitem AS l +JOIN supplier AS s ON s.s_suppkey = l.l_suppkey +JOIN nation AS n ON s.s_nationkey = n.n_nationkey +WHERE strftime('%Y', l.l_commitdate) = '1995' +GROUP BY n.n_nationkey, n.n_name +) +SELECT n.n_nationkey, +n.n_name, +COALESCE(r.total_revenue, 0) AS total_revenue +FROM nation n +LEFT JOIN revenue r ON r.n_nationkey = n.n_nationkey; +/* EXEC RESULT + n_nationkey n_name total_revenue + 0 ALGERIA 1.445284e+09 + 1 ARGENTINA 1.377589e+09 + 2 BRAZIL 1.392838e+09 + 3 CANADA 1.410597e+09 + 4 EGYPT 1.495862e+09 +... TRUNCATED ... + 20 SAUDI ARABIA 1.176301e+09 + 21 VIETNAM 1.502246e+09 + 22 RUSSIA 1.431899e+09 + 23 UNITED KINGDOM 1.467564e+09 + 24 UNITED STATES 1.342888e+09 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.0-C.1-D.2` ----- +/* +{ + "id": "GQRY-A.0-B.0-C.1-D.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] in 1995": "shipment date in 1995", + "[B] for each nation": "for each supplier nation", + "[C] total revenue": "before discount (Gross revenue)", + "[D] total revenue": "include returned items" + } + } +} +*/ +WITH revenue AS ( +SELECT n.n_nationkey, +n.n_name, +COALESCE(SUM(l.l_extendedprice), 0) AS total_revenue +FROM lineitem AS l +JOIN supplier AS s ON s.s_suppkey = l.l_suppkey +JOIN nation AS n ON s.s_nationkey = n.n_nationkey +WHERE strftime('%Y', l.l_shipdate) = '1995' +GROUP BY n.n_nationkey, n.n_name +) +SELECT n.n_nationkey, +n.n_name, +COALESCE(r.total_revenue, 0) AS total_revenue +FROM nation n +LEFT JOIN revenue r ON r.n_nationkey = n.n_nationkey; +/* EXEC RESULT + n_nationkey n_name total_revenue + 0 ALGERIA 1.448186e+09 + 1 ARGENTINA 1.375787e+09 + 2 BRAZIL 1.393560e+09 + 3 CANADA 1.406102e+09 + 4 EGYPT 1.496119e+09 +... TRUNCATED ... + 20 SAUDI ARABIA 1.181834e+09 + 21 VIETNAM 1.494862e+09 + 22 RUSSIA 1.439685e+09 + 23 UNITED KINGDOM 1.469671e+09 + 24 UNITED STATES 1.345821e+09 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.0-C.1-D.3` ----- +/* +{ + "id": "GQRY-A.0-B.0-C.1-D.3", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] in 1995": "receipt date in 1995", + "[B] for each nation": "for each supplier nation", + "[C] total revenue": "before discount (Gross revenue)", + "[D] total revenue": "include returned items" + } + } +} +*/ +WITH revenue AS ( +SELECT n.n_nationkey, +n.n_name, +COALESCE(SUM(l.l_extendedprice), 0) AS total_revenue +FROM lineitem AS l +JOIN supplier AS s ON s.s_suppkey = l.l_suppkey +JOIN nation AS n ON s.s_nationkey = n.n_nationkey +WHERE strftime('%Y', l.l_receiptdate) = '1995' +GROUP BY n.n_nationkey, n.n_name +) +SELECT n.n_nationkey, +n.n_name, +COALESCE(r.total_revenue, 0) AS total_revenue +FROM nation n +LEFT JOIN revenue r ON r.n_nationkey = n.n_nationkey; +/* EXEC RESULT + n_nationkey n_name total_revenue + 0 ALGERIA 1.451888e+09 + 1 ARGENTINA 1.380059e+09 + 2 BRAZIL 1.393107e+09 + 3 CANADA 1.404266e+09 + 4 EGYPT 1.495924e+09 +... TRUNCATED ... + 20 SAUDI ARABIA 1.186342e+09 + 21 VIETNAM 1.499671e+09 + 22 RUSSIA 1.434064e+09 + 23 UNITED KINGDOM 1.467076e+09 + 24 UNITED STATES 1.343885e+09 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.1-C.0-D.0` ----- +/* +{ + "id": "GQRY-A.0-B.1-C.0-D.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] in 1995": "order date in 1995", + "[B] for each nation": "for each customer nation", + "[C] total revenue": "before discount (Gross revenue)", + "[D] total revenue": "exclude returned items" + } + } +} +*/ +WITH revenue AS ( +SELECT n.n_nationkey, +n.n_name, +COALESCE(SUM(l.l_extendedprice), 0) AS total_revenue +FROM lineitem l +JOIN orders o ON o.o_orderkey = l.l_orderkey +JOIN customer c ON o.o_custkey = c.c_custkey +JOIN nation n ON c.c_nationkey = n.n_nationkey +WHERE strftime('%Y', o.o_orderdate) = '1995' +AND l.l_returnflag <> 'R' +GROUP BY n.n_nationkey, n.n_name +) +SELECT n.n_nationkey, +n.n_name, +COALESCE(r.total_revenue, 0) AS total_revenue +FROM nation n +LEFT JOIN revenue r ON r.n_nationkey = n.n_nationkey; +/* EXEC RESULT + n_nationkey n_name total_revenue + 0 ALGERIA 1.216803e+09 + 1 ARGENTINA 1.268908e+09 + 2 BRAZIL 1.216649e+09 + 3 CANADA 1.286657e+09 + 4 EGYPT 1.268531e+09 +... TRUNCATED ... + 20 SAUDI ARABIA 1.157969e+09 + 21 VIETNAM 1.198698e+09 + 22 RUSSIA 1.239588e+09 + 23 UNITED KINGDOM 1.192342e+09 + 24 UNITED STATES 1.278386e+09 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.1-C.0-D.1` ----- +/* +{ + "id": "GQRY-A.0-B.1-C.0-D.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] in 1995": "commitment date in 1995", + "[B] for each nation": "for each customer nation", + "[C] total revenue": "before discount (Gross revenue)", + "[D] total revenue": "exclude returned items" + } + } +} +*/ +WITH revenue AS ( +SELECT n.n_nationkey, +n.n_name, +COALESCE(SUM(l.l_extendedprice), 0) AS total_revenue +FROM lineitem l +JOIN orders o ON o.o_orderkey = l.l_orderkey +JOIN customer c ON o.o_custkey = c.c_custkey +JOIN nation n ON c.c_nationkey = n.n_nationkey +WHERE strftime('%Y', l.l_commitdate) = '1995' +AND l.l_returnflag <> 'R' +GROUP BY n.n_nationkey, n.n_name +) +SELECT n.n_nationkey, +n.n_name, +COALESCE(r.total_revenue, 0) AS total_revenue +FROM nation n +LEFT JOIN revenue r ON r.n_nationkey = n.n_nationkey; +/* EXEC RESULT + n_nationkey n_name total_revenue + 0 ALGERIA 1.101136e+09 + 1 ARGENTINA 1.163497e+09 + 2 BRAZIL 1.110563e+09 + 3 CANADA 1.168849e+09 + 4 EGYPT 1.135858e+09 +... TRUNCATED ... + 20 SAUDI ARABIA 1.065437e+09 + 21 VIETNAM 1.094700e+09 + 22 RUSSIA 1.134264e+09 + 23 UNITED KINGDOM 1.077683e+09 + 24 UNITED STATES 1.151289e+09 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.1-C.0-D.2` ----- +/* +{ + "id": "GQRY-A.0-B.1-C.0-D.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] in 1995": "shipment date in 1995", + "[B] for each nation": "for each customer nation", + "[C] total revenue": "before discount (Gross revenue)", + "[D] total revenue": "exclude returned items" + } + } +} +*/ +WITH revenue AS ( +SELECT n.n_nationkey, +n.n_name, +COALESCE(SUM(l.l_extendedprice), 0) AS total_revenue +FROM lineitem l +JOIN orders o ON o.o_orderkey = l.l_orderkey +JOIN customer c ON o.o_custkey = c.c_custkey +JOIN nation n ON c.c_nationkey = n.n_nationkey +WHERE strftime('%Y', l.l_shipdate) = '1995' +AND l.l_returnflag <> 'R' +GROUP BY n.n_nationkey, n.n_name +) +SELECT n.n_nationkey, +n.n_name, +COALESCE(r.total_revenue, 0) AS total_revenue +FROM nation n +LEFT JOIN revenue r ON r.n_nationkey = n.n_nationkey; +/* EXEC RESULT + n_nationkey n_name total_revenue + 0 ALGERIA 1.093635e+09 + 1 ARGENTINA 1.168418e+09 + 2 BRAZIL 1.105024e+09 + 3 CANADA 1.167997e+09 + 4 EGYPT 1.135154e+09 +... TRUNCATED ... + 20 SAUDI ARABIA 1.060590e+09 + 21 VIETNAM 1.097989e+09 + 22 RUSSIA 1.132029e+09 + 23 UNITED KINGDOM 1.083580e+09 + 24 UNITED STATES 1.150468e+09 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.1-C.0-D.3` ----- +/* +{ + "id": "GQRY-A.0-B.1-C.0-D.3", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] in 1995": "receipt date in 1995", + "[B] for each nation": "for each customer nation", + "[C] total revenue": "before discount (Gross revenue)", + "[D] total revenue": "exclude returned items" + } + } +} +*/ +WITH revenue AS ( +SELECT n.n_nationkey, +n.n_name, +COALESCE(SUM(l.l_extendedprice), 0) AS total_revenue +FROM lineitem l +JOIN orders o ON o.o_orderkey = l.l_orderkey +JOIN customer c ON o.o_custkey = c.c_custkey +JOIN nation n ON c.c_nationkey = n.n_nationkey +WHERE strftime('%Y', l.l_receiptdate) = '1995' +AND l.l_returnflag <> 'R' +GROUP BY n.n_nationkey, n.n_name +) +SELECT n.n_nationkey, +n.n_name, +COALESCE(r.total_revenue, 0) AS total_revenue +FROM nation n +LEFT JOIN revenue r ON r.n_nationkey = n.n_nationkey; +/* EXEC RESULT + n_nationkey n_name total_revenue + 0 ALGERIA 1.061216e+09 + 1 ARGENTINA 1.140200e+09 + 2 BRAZIL 1.076624e+09 + 3 CANADA 1.136182e+09 + 4 EGYPT 1.102001e+09 +... TRUNCATED ... + 20 SAUDI ARABIA 1.037847e+09 + 21 VIETNAM 1.068467e+09 + 22 RUSSIA 1.102167e+09 + 23 UNITED KINGDOM 1.058018e+09 + 24 UNITED STATES 1.121713e+09 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.1-C.1-D.0` ----- +/* +{ + "id": "GQRY-A.0-B.1-C.1-D.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] in 1995": "order date in 1995", + "[B] for each nation": "for each supplier nation", + "[C] total revenue": "before discount (Gross revenue)", + "[D] total revenue": "exclude returned items" + } + } +} +*/ +WITH revenue AS ( +SELECT n.n_nationkey, +n.n_name, +COALESCE(SUM(l.l_extendedprice), 0) AS total_revenue +FROM lineitem AS l +JOIN supplier AS s ON s.s_suppkey = l.l_suppkey +JOIN orders o ON o.o_orderkey = l.l_orderkey +JOIN nation AS n ON s.s_nationkey = n.n_nationkey +WHERE strftime('%Y', o.o_orderdate) = '1995' +AND l.l_returnflag <> 'R' +GROUP BY n.n_nationkey, n.n_name +) +SELECT n.n_nationkey, +n.n_name, +COALESCE(r.total_revenue, 0) AS total_revenue +FROM nation n +LEFT JOIN revenue r ON r.n_nationkey = n.n_nationkey; +/* EXEC RESULT + n_nationkey n_name total_revenue + 0 ALGERIA 1.267838e+09 + 1 ARGENTINA 1.203253e+09 + 2 BRAZIL 1.216163e+09 + 3 CANADA 1.224317e+09 + 4 EGYPT 1.306827e+09 +... TRUNCATED ... + 20 SAUDI ARABIA 1.029012e+09 + 21 VIETNAM 1.307602e+09 + 22 RUSSIA 1.253910e+09 + 23 UNITED KINGDOM 1.281547e+09 + 24 UNITED STATES 1.176022e+09 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.1-C.1-D.1` ----- +/* +{ + "id": "GQRY-A.0-B.1-C.1-D.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] in 1995": "commitment date in 1995", + "[B] for each nation": "for each supplier nation", + "[C] total revenue": "before discount (Gross revenue)", + "[D] total revenue": "exclude returned items" + } + } +} +*/ +WITH revenue AS ( +SELECT n.n_nationkey, +n.n_name, +COALESCE(SUM(l.l_extendedprice), 0) AS total_revenue +FROM lineitem AS l +JOIN supplier AS s ON s.s_suppkey = l.l_suppkey +JOIN nation AS n ON s.s_nationkey = n.n_nationkey +WHERE strftime('%Y', l.l_commitdate) = '1995' +AND l.l_returnflag <> 'R' +GROUP BY n.n_nationkey, n.n_name +) +SELECT n.n_nationkey, +n.n_name, +COALESCE(r.total_revenue, 0) AS total_revenue +FROM nation n +LEFT JOIN revenue r ON r.n_nationkey = n.n_nationkey; +/* EXEC RESULT + n_nationkey n_name total_revenue + 0 ALGERIA 1.149224e+09 + 1 ARGENTINA 1.091522e+09 + 2 BRAZIL 1.100428e+09 + 3 CANADA 1.111646e+09 + 4 EGYPT 1.184951e+09 +... TRUNCATED ... + 20 SAUDI ARABIA 9.335605e+08 + 21 VIETNAM 1.185007e+09 + 22 RUSSIA 1.137569e+09 + 23 UNITED KINGDOM 1.161422e+09 + 24 UNITED STATES 1.067787e+09 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.1-C.1-D.2` ----- +/* +{ + "id": "GQRY-A.0-B.1-C.1-D.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] in 1995": "shipment date in 1995", + "[B] for each nation": "for each supplier nation", + "[C] total revenue": "before discount (Gross revenue)", + "[D] total revenue": "exclude returned items" + } + } +} +*/ +WITH revenue AS ( +SELECT n.n_nationkey, +n.n_name, +COALESCE(SUM(l.l_extendedprice), 0) AS total_revenue +FROM lineitem AS l +JOIN supplier AS s ON s.s_suppkey = l.l_suppkey +JOIN nation AS n ON s.s_nationkey = n.n_nationkey +WHERE strftime('%Y', l.l_shipdate) = '1995' +AND l.l_returnflag <> 'R' +GROUP BY n.n_nationkey, n.n_name +) +SELECT n.n_nationkey, +n.n_name, +COALESCE(r.total_revenue, 0) AS total_revenue +FROM nation n +LEFT JOIN revenue r ON r.n_nationkey = n.n_nationkey; +/* EXEC RESULT + n_nationkey n_name total_revenue + 0 ALGERIA 1.147690e+09 + 1 ARGENTINA 1.090234e+09 + 2 BRAZIL 1.098946e+09 + 3 CANADA 1.108050e+09 + 4 EGYPT 1.183484e+09 +... TRUNCATED ... + 20 SAUDI ARABIA 9.369010e+08 + 21 VIETNAM 1.177723e+09 + 22 RUSSIA 1.139490e+09 + 23 UNITED KINGDOM 1.160627e+09 + 24 UNITED STATES 1.067053e+09 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.1-C.1-D.3` ----- +/* +{ + "id": "GQRY-A.0-B.1-C.1-D.3", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] in 1995": "receipt date in 1995", + "[B] for each nation": "for each supplier nation", + "[C] total revenue": "before discount (Gross revenue)", + "[D] total revenue": "exclude returned items" + } + } +} +*/ +WITH revenue AS ( +SELECT n.n_nationkey, +n.n_name, +COALESCE(SUM(l.l_extendedprice), 0) AS total_revenue +FROM lineitem AS l +JOIN supplier AS s ON s.s_suppkey = l.l_suppkey +JOIN nation AS n ON s.s_nationkey = n.n_nationkey +WHERE strftime('%Y', l.l_receiptdate) = '1995' +AND l.l_returnflag <> 'R' +GROUP BY n.n_nationkey, n.n_name +) +SELECT n.n_nationkey, +n.n_name, +COALESCE(r.total_revenue, 0) AS total_revenue +FROM nation n +LEFT JOIN revenue r ON r.n_nationkey = n.n_nationkey; +/* EXEC RESULT + n_nationkey n_name total_revenue + 0 ALGERIA 1.121381e+09 + 1 ARGENTINA 1.064187e+09 + 2 BRAZIL 1.072039e+09 + 3 CANADA 1.076277e+09 + 4 EGYPT 1.153133e+09 +... TRUNCATED ... + 20 SAUDI ARABIA 9.138240e+08 + 21 VIETNAM 1.150968e+09 + 22 RUSSIA 1.104405e+09 + 23 UNITED KINGDOM 1.126524e+09 + 24 UNITED STATES 1.037506e+09 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.0-C.0-D.0` ----- +/* +{ + "id": "GQRY-A.1-B.0-C.0-D.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] in 1995": "order date in 1995", + "[B] for each nation": "for each customer nation", + "[C] total revenue": "after discount (Net revenue)", + "[D] total revenue": "include returned items" + } + } +} +*/ +WITH revenue AS ( +SELECT n.n_nationkey, +n.n_name, +COALESCE(SUM(l.l_extendedprice * (1 - l.l_discount)), 0) AS total_revenue +FROM lineitem l +JOIN orders o ON o.o_orderkey = l.l_orderkey +JOIN customer c ON o.o_custkey = c.c_custkey +JOIN nation n ON c.c_nationkey = n.n_nationkey +WHERE strftime('%Y', o.o_orderdate) = '1995' +GROUP BY n.n_nationkey, n.n_name +) +SELECT n.n_nationkey, +n.n_name, +COALESCE(r.total_revenue, 0) AS total_revenue +FROM nation n +LEFT JOIN revenue r ON r.n_nationkey = n.n_nationkey; +/* EXEC RESULT + n_nationkey n_name total_revenue + 0 ALGERIA 1.322656e+09 + 1 ARGENTINA 1.380994e+09 + 2 BRAZIL 1.312468e+09 + 3 CANADA 1.399526e+09 + 4 EGYPT 1.375549e+09 +... TRUNCATED ... + 20 SAUDI ARABIA 1.260483e+09 + 21 VIETNAM 1.303431e+09 + 22 RUSSIA 1.343825e+09 + 23 UNITED KINGDOM 1.293430e+09 + 24 UNITED STATES 1.388316e+09 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.0-C.0-D.1` ----- +/* +{ + "id": "GQRY-A.1-B.0-C.0-D.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] in 1995": "commitment date in 1995", + "[B] for each nation": "for each customer nation", + "[C] total revenue": "after discount (Net revenue)", + "[D] total revenue": "include returned items" + } + } +} +*/ +WITH revenue AS ( +SELECT n.n_nationkey, +n.n_name, +COALESCE(SUM(l.l_extendedprice * (1 - l.l_discount)), 0) AS total_revenue +FROM lineitem l +JOIN orders o ON o.o_orderkey = l.l_orderkey +JOIN customer c ON o.o_custkey = c.c_custkey +JOIN nation n ON c.c_nationkey = n.n_nationkey +WHERE strftime('%Y', l.l_commitdate) = '1995' +GROUP BY n.n_nationkey, n.n_name +) +SELECT n.n_nationkey, +n.n_name, +COALESCE(r.total_revenue, 0) AS total_revenue +FROM nation n +LEFT JOIN revenue r ON r.n_nationkey = n.n_nationkey; +/* EXEC RESULT + n_nationkey n_name total_revenue + 0 ALGERIA 1.313591e+09 + 1 ARGENTINA 1.393674e+09 + 2 BRAZIL 1.321117e+09 + 3 CANADA 1.400570e+09 + 4 EGYPT 1.361057e+09 +... TRUNCATED ... + 20 SAUDI ARABIA 1.281946e+09 + 21 VIETNAM 1.308861e+09 + 22 RUSSIA 1.360609e+09 + 23 UNITED KINGDOM 1.296957e+09 + 24 UNITED STATES 1.386886e+09 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.0-C.0-D.2` ----- +/* +{ + "id": "GQRY-A.1-B.0-C.0-D.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] in 1995": "shipment date in 1995", + "[B] for each nation": "for each customer nation", + "[C] total revenue": "after discount (Net revenue)", + "[D] total revenue": "include returned items" + } + } +} +*/ +WITH revenue AS ( +SELECT n.n_nationkey, +n.n_name, +COALESCE(SUM(l.l_extendedprice * (1 - l.l_discount)), 0) AS total_revenue +FROM lineitem l +JOIN orders o ON o.o_orderkey = l.l_orderkey +JOIN customer c ON o.o_custkey = c.c_custkey +JOIN nation n ON c.c_nationkey = n.n_nationkey +WHERE strftime('%Y', l.l_shipdate) = '1995' +GROUP BY n.n_nationkey, n.n_name +) +SELECT n.n_nationkey, +n.n_name, +COALESCE(r.total_revenue, 0) AS total_revenue +FROM nation n +LEFT JOIN revenue r ON r.n_nationkey = n.n_nationkey; +/* EXEC RESULT + n_nationkey n_name total_revenue + 0 ALGERIA 1.306616e+09 + 1 ARGENTINA 1.401871e+09 + 2 BRAZIL 1.320303e+09 + 3 CANADA 1.401921e+09 + 4 EGYPT 1.361305e+09 +... TRUNCATED ... + 20 SAUDI ARABIA 1.280116e+09 + 21 VIETNAM 1.318167e+09 + 22 RUSSIA 1.359434e+09 + 23 UNITED KINGDOM 1.303841e+09 + 24 UNITED STATES 1.385345e+09 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.0-C.0-D.3` ----- +/* +{ + "id": "GQRY-A.1-B.0-C.0-D.3", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] in 1995": "receipt date in 1995", + "[B] for each nation": "for each customer nation", + "[C] total revenue": "after discount (Net revenue)", + "[D] total revenue": "include returned items" + } + } +} +*/ +WITH revenue AS ( +SELECT n.n_nationkey, +n.n_name, +COALESCE(SUM(l.l_extendedprice * (1 - l.l_discount)), 0) AS total_revenue +FROM lineitem l +JOIN orders o ON o.o_orderkey = l.l_orderkey +JOIN customer c ON o.o_custkey = c.c_custkey +JOIN nation n ON c.c_nationkey = n.n_nationkey +WHERE strftime('%Y', l.l_receiptdate) = '1995' +GROUP BY n.n_nationkey, n.n_name +) +SELECT n.n_nationkey, +n.n_name, +COALESCE(r.total_revenue, 0) AS total_revenue +FROM nation n +LEFT JOIN revenue r ON r.n_nationkey = n.n_nationkey; +/* EXEC RESULT + n_nationkey n_name total_revenue + 0 ALGERIA 1.303468e+09 + 1 ARGENTINA 1.403933e+09 + 2 BRAZIL 1.323225e+09 + 3 CANADA 1.399833e+09 + 4 EGYPT 1.359065e+09 +... TRUNCATED ... + 20 SAUDI ARABIA 1.285441e+09 + 21 VIETNAM 1.319037e+09 + 22 RUSSIA 1.361155e+09 + 23 UNITED KINGDOM 1.307979e+09 + 24 UNITED STATES 1.386675e+09 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.0-C.1-D.0` ----- +/* +{ + "id": "GQRY-A.1-B.0-C.1-D.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] in 1995": "order date in 1995", + "[B] for each nation": "for each supplier nation", + "[C] total revenue": "after discount (Net revenue)", + "[D] total revenue": "include returned items" + } + } +} +*/ +WITH revenue AS ( +SELECT n.n_nationkey, +n.n_name, +COALESCE(SUM(l.l_extendedprice * (1 - l.l_discount)), 0) AS total_revenue +FROM lineitem AS l +JOIN supplier AS s ON s.s_suppkey = l.l_suppkey +JOIN orders o ON o.o_orderkey = l.l_orderkey +JOIN nation AS n ON s.s_nationkey = n.n_nationkey +WHERE strftime('%Y', o.o_orderdate) = '1995' +GROUP BY n.n_nationkey, n.n_name +) +SELECT n.n_nationkey, +n.n_name, +COALESCE(r.total_revenue, 0) AS total_revenue +FROM nation n +LEFT JOIN revenue r ON r.n_nationkey = n.n_nationkey; +/* EXEC RESULT + n_nationkey n_name total_revenue + 0 ALGERIA 1.372136e+09 + 1 ARGENTINA 1.305331e+09 + 2 BRAZIL 1.325274e+09 + 3 CANADA 1.329114e+09 + 4 EGYPT 1.419975e+09 +... TRUNCATED ... + 20 SAUDI ARABIA 1.112572e+09 + 21 VIETNAM 1.424005e+09 + 22 RUSSIA 1.359067e+09 + 23 UNITED KINGDOM 1.391889e+09 + 24 UNITED STATES 1.274388e+09 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.0-C.1-D.1` ----- +/* +{ + "id": "GQRY-A.1-B.0-C.1-D.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] in 1995": "commitment date in 1995", + "[B] for each nation": "for each supplier nation", + "[C] total revenue": "after discount (Net revenue)", + "[D] total revenue": "include returned items" + } + } +} +*/ +WITH revenue AS ( +SELECT n.n_nationkey, +n.n_name, +COALESCE(SUM(l.l_extendedprice * (1 - l.l_discount)), 0) AS total_revenue +FROM lineitem AS l +JOIN supplier AS s ON s.s_suppkey = l.l_suppkey +JOIN nation AS n ON s.s_nationkey = n.n_nationkey +WHERE strftime('%Y', l.l_commitdate) = '1995' +GROUP BY n.n_nationkey, n.n_name +) +SELECT n.n_nationkey, +n.n_name, +COALESCE(r.total_revenue, 0) AS total_revenue +FROM nation n +LEFT JOIN revenue r ON r.n_nationkey = n.n_nationkey; +/* EXEC RESULT + n_nationkey n_name total_revenue + 0 ALGERIA 1.372741e+09 + 1 ARGENTINA 1.308413e+09 + 2 BRAZIL 1.323322e+09 + 3 CANADA 1.340381e+09 + 4 EGYPT 1.421444e+09 +... TRUNCATED ... + 20 SAUDI ARABIA 1.117748e+09 + 21 VIETNAM 1.427302e+09 + 22 RUSSIA 1.360160e+09 + 23 UNITED KINGDOM 1.394291e+09 + 24 UNITED STATES 1.276003e+09 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.0-C.1-D.2` ----- +/* +{ + "id": "GQRY-A.1-B.0-C.1-D.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] in 1995": "shipment date in 1995", + "[B] for each nation": "for each supplier nation", + "[C] total revenue": "after discount (Net revenue)", + "[D] total revenue": "include returned items" + } + } +} +*/ +WITH revenue AS ( +SELECT n.n_nationkey, +n.n_name, +COALESCE(SUM(l.l_extendedprice * (1 - l.l_discount)), 0) AS total_revenue +FROM lineitem AS l +JOIN supplier AS s ON s.s_suppkey = l.l_suppkey +JOIN nation AS n ON s.s_nationkey = n.n_nationkey +WHERE strftime('%Y', l.l_shipdate) = '1995' +GROUP BY n.n_nationkey, n.n_name +) +SELECT n.n_nationkey, +n.n_name, +COALESCE(r.total_revenue, 0) AS total_revenue +FROM nation n +LEFT JOIN revenue r ON r.n_nationkey = n.n_nationkey; +/* EXEC RESULT + n_nationkey n_name total_revenue + 0 ALGERIA 1.375493e+09 + 1 ARGENTINA 1.306649e+09 + 2 BRAZIL 1.324206e+09 + 3 CANADA 1.336072e+09 + 4 EGYPT 1.421685e+09 +... TRUNCATED ... + 20 SAUDI ARABIA 1.122922e+09 + 21 VIETNAM 1.420271e+09 + 22 RUSSIA 1.367748e+09 + 23 UNITED KINGDOM 1.396305e+09 + 24 UNITED STATES 1.278639e+09 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.0-C.1-D.3` ----- +/* +{ + "id": "GQRY-A.1-B.0-C.1-D.3", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] in 1995": "receipt date in 1995", + "[B] for each nation": "for each supplier nation", + "[C] total revenue": "after discount (Net revenue)", + "[D] total revenue": "include returned items" + } + } +} +*/ +WITH revenue AS ( +SELECT n.n_nationkey, +n.n_name, +COALESCE(SUM(l.l_extendedprice * (1 - l.l_discount)), 0) AS total_revenue +FROM lineitem AS l +JOIN supplier AS s ON s.s_suppkey = l.l_suppkey +JOIN nation AS n ON s.s_nationkey = n.n_nationkey +WHERE strftime('%Y', l.l_receiptdate) = '1995' +GROUP BY n.n_nationkey, n.n_name +) +SELECT n.n_nationkey, +n.n_name, +COALESCE(r.total_revenue, 0) AS total_revenue +FROM nation n +LEFT JOIN revenue r ON r.n_nationkey = n.n_nationkey; +/* EXEC RESULT + n_nationkey n_name total_revenue + 0 ALGERIA 1.379075e+09 + 1 ARGENTINA 1.310707e+09 + 2 BRAZIL 1.323636e+09 + 3 CANADA 1.334341e+09 + 4 EGYPT 1.421487e+09 +... TRUNCATED ... + 20 SAUDI ARABIA 1.127243e+09 + 21 VIETNAM 1.424742e+09 + 22 RUSSIA 1.362375e+09 + 23 UNITED KINGDOM 1.393908e+09 + 24 UNITED STATES 1.276787e+09 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.1-C.0-D.0` ----- +/* +{ + "id": "GQRY-A.1-B.1-C.0-D.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] in 1995": "order date in 1995", + "[B] for each nation": "for each customer nation", + "[C] total revenue": "after discount (Net revenue)", + "[D] total revenue": "exclude returned items" + } + } +} +*/ +WITH revenue AS ( +SELECT n.n_nationkey, +n.n_name, +COALESCE(SUM(l.l_extendedprice * (1 - l.l_discount)), 0) AS total_revenue +FROM lineitem l +JOIN orders o ON o.o_orderkey = l.l_orderkey +JOIN customer c ON o.o_custkey = c.c_custkey +JOIN nation n ON c.c_nationkey = n.n_nationkey +WHERE strftime('%Y', o.o_orderdate) = '1995' +AND l.l_returnflag <> 'R' +GROUP BY n.n_nationkey, n.n_name +) +SELECT n.n_nationkey, +n.n_name, +COALESCE(r.total_revenue, 0) AS total_revenue +FROM nation n +LEFT JOIN revenue r ON r.n_nationkey = n.n_nationkey; +/* EXEC RESULT + n_nationkey n_name total_revenue + 0 ALGERIA 1.156194e+09 + 1 ARGENTINA 1.205315e+09 + 2 BRAZIL 1.156222e+09 + 3 CANADA 1.222627e+09 + 4 EGYPT 1.204802e+09 +... TRUNCATED ... + 20 SAUDI ARABIA 1.100023e+09 + 21 VIETNAM 1.138919e+09 + 22 RUSSIA 1.178057e+09 + 23 UNITED KINGDOM 1.132060e+09 + 24 UNITED STATES 1.214203e+09 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.1-C.0-D.1` ----- +/* +{ + "id": "GQRY-A.1-B.1-C.0-D.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] in 1995": "commitment date in 1995", + "[B] for each nation": "for each customer nation", + "[C] total revenue": "after discount (Net revenue)", + "[D] total revenue": "exclude returned items" + } + } +} +*/ +WITH revenue AS ( +SELECT n.n_nationkey, +n.n_name, +COALESCE(SUM(l.l_extendedprice * (1 - l.l_discount)), 0) AS total_revenue +FROM lineitem l +JOIN orders o ON o.o_orderkey = l.l_orderkey +JOIN customer c ON o.o_custkey = c.c_custkey +JOIN nation n ON c.c_nationkey = n.n_nationkey +WHERE strftime('%Y', l.l_commitdate) = '1995' +AND l.l_returnflag <> 'R' +GROUP BY n.n_nationkey, n.n_name +) +SELECT n.n_nationkey, +n.n_name, +COALESCE(r.total_revenue, 0) AS total_revenue +FROM nation n +LEFT JOIN revenue r ON r.n_nationkey = n.n_nationkey; +/* EXEC RESULT + n_nationkey n_name total_revenue + 0 ALGERIA 1.046445e+09 + 1 ARGENTINA 1.105303e+09 + 2 BRAZIL 1.055428e+09 + 3 CANADA 1.110574e+09 + 4 EGYPT 1.078878e+09 +... TRUNCATED ... + 20 SAUDI ARABIA 1.012179e+09 + 21 VIETNAM 1.040148e+09 + 22 RUSSIA 1.078112e+09 + 23 UNITED KINGDOM 1.023241e+09 + 24 UNITED STATES 1.093509e+09 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.1-C.0-D.2` ----- +/* +{ + "id": "GQRY-A.1-B.1-C.0-D.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] in 1995": "shipment date in 1995", + "[B] for each nation": "for each customer nation", + "[C] total revenue": "after discount (Net revenue)", + "[D] total revenue": "exclude returned items" + } + } +} +*/ +WITH revenue AS ( +SELECT n.n_nationkey, +n.n_name, +COALESCE(SUM(l.l_extendedprice * (1 - l.l_discount)), 0) AS total_revenue +FROM lineitem l +JOIN orders o ON o.o_orderkey = l.l_orderkey +JOIN customer c ON o.o_custkey = c.c_custkey +JOIN nation n ON c.c_nationkey = n.n_nationkey +WHERE strftime('%Y', l.l_shipdate) = '1995' +AND l.l_returnflag <> 'R' +GROUP BY n.n_nationkey, n.n_name +) +SELECT n.n_nationkey, +n.n_name, +COALESCE(r.total_revenue, 0) AS total_revenue +FROM nation n +LEFT JOIN revenue r ON r.n_nationkey = n.n_nationkey; +/* EXEC RESULT + n_nationkey n_name total_revenue + 0 ALGERIA 1.039196e+09 + 1 ARGENTINA 1.109971e+09 + 2 BRAZIL 1.050142e+09 + 3 CANADA 1.109741e+09 + 4 EGYPT 1.078306e+09 +... TRUNCATED ... + 20 SAUDI ARABIA 1.007661e+09 + 21 VIETNAM 1.043226e+09 + 22 RUSSIA 1.076030e+09 + 23 UNITED KINGDOM 1.028654e+09 + 24 UNITED STATES 1.092705e+09 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.1-C.0-D.3` ----- +/* +{ + "id": "GQRY-A.1-B.1-C.0-D.3", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] in 1995": "receipt date in 1995", + "[B] for each nation": "for each customer nation", + "[C] total revenue": "after discount (Net revenue)", + "[D] total revenue": "exclude returned items" + } + } +} +*/ +WITH revenue AS ( +SELECT n.n_nationkey, +n.n_name, +COALESCE(SUM(l.l_extendedprice * (1 - l.l_discount)), 0) AS total_revenue +FROM lineitem l +JOIN orders o ON o.o_orderkey = l.l_orderkey +JOIN customer c ON o.o_custkey = c.c_custkey +JOIN nation n ON c.c_nationkey = n.n_nationkey +WHERE strftime('%Y', l.l_receiptdate) = '1995' +AND l.l_returnflag <> 'R' +GROUP BY n.n_nationkey, n.n_name +) +SELECT n.n_nationkey, +n.n_name, +COALESCE(r.total_revenue, 0) AS total_revenue +FROM nation n +LEFT JOIN revenue r ON r.n_nationkey = n.n_nationkey; +/* EXEC RESULT + n_nationkey n_name total_revenue + 0 ALGERIA 1.008406e+09 + 1 ARGENTINA 1.083246e+09 + 2 BRAZIL 1.023142e+09 + 3 CANADA 1.079433e+09 + 4 EGYPT 1.046767e+09 +... TRUNCATED ... + 20 SAUDI ARABIA 9.860027e+08 + 21 VIETNAM 1.015163e+09 + 22 RUSSIA 1.047660e+09 + 23 UNITED KINGDOM 1.004586e+09 + 24 UNITED STATES 1.065502e+09 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.1-C.1-D.0` ----- +/* +{ + "id": "GQRY-A.1-B.1-C.1-D.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] in 1995": "order date in 1995", + "[B] for each nation": "for each supplier nation", + "[C] total revenue": "after discount (Net revenue)", + "[D] total revenue": "exclude returned items" + } + } +} +*/ +WITH revenue AS ( +SELECT n.n_nationkey, +n.n_name, +COALESCE(SUM(l.l_extendedprice * (1 - l.l_discount)), 0) AS total_revenue +FROM lineitem AS l +JOIN supplier AS s ON s.s_suppkey = l.l_suppkey +JOIN orders o ON o.o_orderkey = l.l_orderkey +JOIN nation AS n ON s.s_nationkey = n.n_nationkey +WHERE strftime('%Y', o.o_orderdate) = '1995' +AND l.l_returnflag <> 'R' +GROUP BY n.n_nationkey, n.n_name +) +SELECT n.n_nationkey, +n.n_name, +COALESCE(r.total_revenue, 0) AS total_revenue +FROM nation n +LEFT JOIN revenue r ON r.n_nationkey = n.n_nationkey; +/* EXEC RESULT + n_nationkey n_name total_revenue + 0 ALGERIA 1.204142e+09 + 1 ARGENTINA 1.142928e+09 + 2 BRAZIL 1.155617e+09 + 3 CANADA 1.163298e+09 + 4 EGYPT 1.241591e+09 +... TRUNCATED ... + 20 SAUDI ARABIA 9.777254e+08 + 21 VIETNAM 1.242286e+09 + 22 RUSSIA 1.191288e+09 + 23 UNITED KINGDOM 1.217509e+09 + 24 UNITED STATES 1.117199e+09 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.1-C.1-D.1` ----- +/* +{ + "id": "GQRY-A.1-B.1-C.1-D.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] in 1995": "commitment date in 1995", + "[B] for each nation": "for each supplier nation", + "[C] total revenue": "after discount (Net revenue)", + "[D] total revenue": "exclude returned items" + } + } +} +*/ +WITH revenue AS ( +SELECT n.n_nationkey, +n.n_name, +COALESCE(SUM(l.l_extendedprice * (1 - l.l_discount)), 0) AS total_revenue +FROM lineitem AS l +JOIN supplier AS s ON s.s_suppkey = l.l_suppkey +JOIN nation AS n ON s.s_nationkey = n.n_nationkey +WHERE strftime('%Y', l.l_commitdate) = '1995' +AND l.l_returnflag <> 'R' +GROUP BY n.n_nationkey, n.n_name +) +SELECT n.n_nationkey, +n.n_name, +COALESCE(r.total_revenue, 0) AS total_revenue +FROM nation n +LEFT JOIN revenue r ON r.n_nationkey = n.n_nationkey; +/* EXEC RESULT + n_nationkey n_name total_revenue + 0 ALGERIA 1.091553e+09 + 1 ARGENTINA 1.036746e+09 + 2 BRAZIL 1.045438e+09 + 3 CANADA 1.056443e+09 + 4 EGYPT 1.125809e+09 +... TRUNCATED ... + 20 SAUDI ARABIA 8.870358e+08 + 21 VIETNAM 1.125920e+09 + 22 RUSSIA 1.080588e+09 + 23 UNITED KINGDOM 1.103437e+09 + 24 UNITED STATES 1.014528e+09 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.1-C.1-D.2` ----- +/* +{ + "id": "GQRY-A.1-B.1-C.1-D.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] in 1995": "shipment date in 1995", + "[B] for each nation": "for each supplier nation", + "[C] total revenue": "after discount (Net revenue)", + "[D] total revenue": "exclude returned items" + } + } +} +*/ +WITH revenue AS ( +SELECT n.n_nationkey, +n.n_name, +COALESCE(SUM(l.l_extendedprice * (1 - l.l_discount)), 0) AS total_revenue +FROM lineitem AS l +JOIN supplier AS s ON s.s_suppkey = l.l_suppkey +JOIN nation AS n ON s.s_nationkey = n.n_nationkey +WHERE strftime('%Y', l.l_shipdate) = '1995' +AND l.l_returnflag <> 'R' +GROUP BY n.n_nationkey, n.n_name +) +SELECT n.n_nationkey, +n.n_name, +COALESCE(r.total_revenue, 0) AS total_revenue +FROM nation n +LEFT JOIN revenue r ON r.n_nationkey = n.n_nationkey; +/* EXEC RESULT + n_nationkey n_name total_revenue + 0 ALGERIA 1.090171e+09 + 1 ARGENTINA 1.035419e+09 + 2 BRAZIL 1.044191e+09 + 3 CANADA 1.052946e+09 + 4 EGYPT 1.124439e+09 +... TRUNCATED ... + 20 SAUDI ARABIA 8.901037e+08 + 21 VIETNAM 1.118987e+09 + 22 RUSSIA 1.082594e+09 + 23 UNITED KINGDOM 1.102657e+09 + 24 UNITED STATES 1.013842e+09 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.1-C.1-D.3` ----- +/* +{ + "id": "GQRY-A.1-B.1-C.1-D.3", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] in 1995": "receipt date in 1995", + "[B] for each nation": "for each supplier nation", + "[C] total revenue": "after discount (Net revenue)", + "[D] total revenue": "exclude returned items" + } + } +} +*/ +WITH revenue AS ( +SELECT n.n_nationkey, +n.n_name, +COALESCE(SUM(l.l_extendedprice * (1 - l.l_discount)), 0) AS total_revenue +FROM lineitem AS l +JOIN supplier AS s ON s.s_suppkey = l.l_suppkey +JOIN nation AS n ON s.s_nationkey = n.n_nationkey +WHERE strftime('%Y', l.l_receiptdate) = '1995' +AND l.l_returnflag <> 'R' +GROUP BY n.n_nationkey, n.n_name +) +SELECT n.n_nationkey, +n.n_name, +COALESCE(r.total_revenue, 0) AS total_revenue +FROM nation n +LEFT JOIN revenue r ON r.n_nationkey = n.n_nationkey; +/* EXEC RESULT + n_nationkey n_name total_revenue + 0 ALGERIA 1.065276e+09 + 1 ARGENTINA 1.010667e+09 + 2 BRAZIL 1.018542e+09 + 3 CANADA 1.022790e+09 + 4 EGYPT 1.095574e+09 +... TRUNCATED ... + 20 SAUDI ARABIA 8.681930e+08 + 21 VIETNAM 1.093447e+09 + 22 RUSSIA 1.049241e+09 + 23 UNITED KINGDOM 1.070262e+09 + 24 UNITED STATES 9.857484e+08 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/002/gold_csv/GQRY-A.0-B.0-C.0.csv b/tasks/readable/002/gold_csv/GQRY-A.0-B.0-C.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..777b279063ba878043fcb61872df632e6262751e --- /dev/null +++ b/tasks/readable/002/gold_csv/GQRY-A.0-B.0-C.0.csv @@ -0,0 +1,2 @@ +supplier_count +8588 diff --git a/tasks/readable/002/gold_csv/GQRY-A.0-B.0-C.1.csv b/tasks/readable/002/gold_csv/GQRY-A.0-B.0-C.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..52b5d79efe6c21deb57a64dea8907cc91442a24c --- /dev/null +++ b/tasks/readable/002/gold_csv/GQRY-A.0-B.0-C.1.csv @@ -0,0 +1,2 @@ +supplier_count +10000 diff --git a/tasks/readable/002/gold_csv/GQRY-A.0-B.1-C.0.csv b/tasks/readable/002/gold_csv/GQRY-A.0-B.1-C.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..c05460166f67d8c8424b0f31e4e3c86687161a62 --- /dev/null +++ b/tasks/readable/002/gold_csv/GQRY-A.0-B.1-C.0.csv @@ -0,0 +1,2 @@ +supplier_count +9201 diff --git a/tasks/readable/002/gold_csv/GQRY-A.0-B.1-C.1.csv b/tasks/readable/002/gold_csv/GQRY-A.0-B.1-C.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..52b5d79efe6c21deb57a64dea8907cc91442a24c --- /dev/null +++ b/tasks/readable/002/gold_csv/GQRY-A.0-B.1-C.1.csv @@ -0,0 +1,2 @@ +supplier_count +10000 diff --git a/tasks/readable/002/gold_csv/GQRY-A.1-B.0-C.0.csv b/tasks/readable/002/gold_csv/GQRY-A.1-B.0-C.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..b22b25c0f5f5e82cb6c402d29838e70362222c85 --- /dev/null +++ b/tasks/readable/002/gold_csv/GQRY-A.1-B.0-C.0.csv @@ -0,0 +1,2 @@ +supplier_count +391 diff --git a/tasks/readable/002/gold_csv/GQRY-A.1-B.0-C.1.csv b/tasks/readable/002/gold_csv/GQRY-A.1-B.0-C.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..f53caba1a0ac20be0ceac0031a7defd14adc732b --- /dev/null +++ b/tasks/readable/002/gold_csv/GQRY-A.1-B.0-C.1.csv @@ -0,0 +1,2 @@ +supplier_count +1992 diff --git a/tasks/readable/002/gold_csv/GQRY-A.1-B.1-C.0.csv b/tasks/readable/002/gold_csv/GQRY-A.1-B.1-C.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..b22b25c0f5f5e82cb6c402d29838e70362222c85 --- /dev/null +++ b/tasks/readable/002/gold_csv/GQRY-A.1-B.1-C.0.csv @@ -0,0 +1,2 @@ +supplier_count +391 diff --git a/tasks/readable/002/gold_csv/GQRY-A.1-B.1-C.1.csv b/tasks/readable/002/gold_csv/GQRY-A.1-B.1-C.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..f53caba1a0ac20be0ceac0031a7defd14adc732b --- /dev/null +++ b/tasks/readable/002/gold_csv/GQRY-A.1-B.1-C.1.csv @@ -0,0 +1,2 @@ +supplier_count +1992 diff --git a/tasks/readable/002/task_readable.sql b/tasks/readable/002/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..1c9ae078c7ce317377146139f467a34414a84c5a --- /dev/null +++ b/tasks/readable/002/task_readable.sql @@ -0,0 +1,415 @@ +/* +{ + "qid": "002", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "retails", + "question": "Count the number of suppliers that offer both air and rail shipping in America.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "suppliers that offer both air and rail shipping in America", + "type": "finite", + "ambiguity_type": "syntactic_computation", + "interpretations": [ + "suppliers that offer air and rail shipping to customers in America", + "suppliers in America that offer air and rail shipping" + ], + "intended_interpretation_idx": 0 + }, + { + "id": "B", + "phrase": "air", + "type": "finite", + "ambiguity_type": "semantic_value", + "interpretations": [ + "ship mode is AIR", + "ship mode is AIR or REG AIR" + ], + "intended_interpretation_idx": 0 + }, + { + "id": "C", + "phrase": "America", + "type": "finite", + "ambiguity_type": "semantic_table", + "interpretations": [ + "United States (country)", + "Americas (region)" + ], + "intended_interpretation_idx": 1 + } + ], + "gold_intended_query_id": "GQRY-A.0-B.0-C.1", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0-B.0-C.0` ----- +/* +{ + "id": "GQRY-A.0-B.0-C.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] America": "United States (country)", + "[B] suppliers that offer both air and rail shipping in America": "suppliers that offer air and rail shipping to customers in America", + "[C] air": "ship mode is AIR" + } + } +} +*/ +WITH usa_suppliers_with_air AS ( +SELECT DISTINCT l.l_suppkey +FROM lineitem l +JOIN orders o ON l.l_orderkey = o.o_orderkey +JOIN customer c ON o.o_custkey = c.c_custkey +JOIN nation n ON c.c_nationkey = n.n_nationkey +WHERE n.n_name = 'UNITED STATES' +AND l.l_shipmode = 'AIR' +), +usa_suppliers_with_rail AS ( +SELECT DISTINCT l.l_suppkey +FROM lineitem l +JOIN orders o ON l.l_orderkey = o.o_orderkey +JOIN customer c ON o.o_custkey = c.c_custkey +JOIN nation n ON c.c_nationkey = n.n_nationkey +WHERE n.n_name = 'UNITED STATES' +AND l.l_shipmode = 'RAIL' +) +SELECT COUNT(*) AS supplier_count +FROM usa_suppliers_with_air a +JOIN usa_suppliers_with_rail r ON a.l_suppkey = r.l_suppkey; +/* EXEC RESULT + supplier_count + 8588 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.0-C.1` ----- +/* +{ + "id": "GQRY-A.0-B.0-C.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] America": "Americas (region)", + "[B] suppliers that offer both air and rail shipping in America": "suppliers that offer air and rail shipping to customers in America", + "[C] air": "ship mode is AIR" + } + } +} +*/ +WITH usa_suppliers_with_air AS ( +SELECT DISTINCT l.l_suppkey +FROM lineitem l +JOIN orders o ON l.l_orderkey = o.o_orderkey +JOIN customer c ON o.o_custkey = c.c_custkey +JOIN nation n ON c.c_nationkey = n.n_nationkey +JOIN region r ON n.n_regionkey = r.r_regionkey +WHERE r.r_name = 'AMERICA' +AND l.l_shipmode = 'AIR' +), +usa_suppliers_with_rail AS ( +SELECT DISTINCT l.l_suppkey +FROM lineitem l +JOIN orders o ON l.l_orderkey = o.o_orderkey +JOIN customer c ON o.o_custkey = c.c_custkey +JOIN nation n ON c.c_nationkey = n.n_nationkey +JOIN region r ON n.n_regionkey = r.r_regionkey +WHERE r.r_name = 'AMERICA' +AND l.l_shipmode = 'RAIL' +) +SELECT COUNT(*) AS supplier_count +FROM usa_suppliers_with_air a +JOIN usa_suppliers_with_rail r ON a.l_suppkey = r.l_suppkey; +/* EXEC RESULT + supplier_count + 10000 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.1-C.0` ----- +/* +{ + "id": "GQRY-A.0-B.1-C.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] America": "United States (country)", + "[B] suppliers that offer both air and rail shipping in America": "suppliers that offer air and rail shipping to customers in America", + "[C] air": "ship mode is AIR or REG AIR" + } + } +} +*/ +WITH usa_suppliers_with_air AS ( +SELECT DISTINCT l.l_suppkey +FROM lineitem l +JOIN orders o ON l.l_orderkey = o.o_orderkey +JOIN customer c ON o.o_custkey = c.c_custkey +JOIN nation n ON c.c_nationkey = n.n_nationkey +WHERE n.n_name = 'UNITED STATES' +AND l.l_shipmode IN ('AIR', 'REG AIR') +), +usa_suppliers_with_rail AS ( +SELECT DISTINCT l.l_suppkey +FROM lineitem l +JOIN orders o ON l.l_orderkey = o.o_orderkey +JOIN customer c ON o.o_custkey = c.c_custkey +JOIN nation n ON c.c_nationkey = n.n_nationkey +WHERE n.n_name = 'UNITED STATES' +AND l.l_shipmode = 'RAIL' +) +SELECT COUNT(*) AS supplier_count +FROM usa_suppliers_with_air a +JOIN usa_suppliers_with_rail r ON a.l_suppkey = r.l_suppkey; +/* EXEC RESULT + supplier_count + 9201 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.1-C.1` ----- +/* +{ + "id": "GQRY-A.0-B.1-C.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] America": "Americas (region)", + "[B] suppliers that offer both air and rail shipping in America": "suppliers that offer air and rail shipping to customers in America", + "[C] air": "ship mode is AIR or REG AIR" + } + } +} +*/ +WITH usa_suppliers_with_air AS ( +SELECT DISTINCT l.l_suppkey +FROM lineitem l +JOIN orders o ON l.l_orderkey = o.o_orderkey +JOIN customer c ON o.o_custkey = c.c_custkey +JOIN nation n ON c.c_nationkey = n.n_nationkey +JOIN region r ON n.n_regionkey = r.r_regionkey +WHERE r.r_name = 'AMERICA' +AND l.l_shipmode IN ('AIR', 'REG AIR') +), +usa_suppliers_with_rail AS ( +SELECT DISTINCT l.l_suppkey +FROM lineitem l +JOIN orders o ON l.l_orderkey = o.o_orderkey +JOIN customer c ON o.o_custkey = c.c_custkey +JOIN nation n ON c.c_nationkey = n.n_nationkey +JOIN region r ON n.n_regionkey = r.r_regionkey +WHERE r.r_name = 'AMERICA' +AND l.l_shipmode = 'RAIL' +) +SELECT COUNT(*) AS supplier_count +FROM usa_suppliers_with_air a +JOIN usa_suppliers_with_rail r ON a.l_suppkey = r.l_suppkey; +/* EXEC RESULT + supplier_count + 10000 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.0-C.0` ----- +/* +{ + "id": "GQRY-A.1-B.0-C.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] America": "United States (country)", + "[B] suppliers that offer both air and rail shipping in America": "suppliers in America that offer air and rail shipping", + "[C] air": "ship mode is AIR" + } + } +} +*/ +WITH usa_suppliers_with_air AS ( +SELECT DISTINCT l.l_suppkey +FROM lineitem l +JOIN supplier s ON l.l_suppkey = s.s_suppkey +JOIN nation n ON s.s_nationkey = n.n_nationkey +WHERE n.n_name = 'UNITED STATES' +AND l.l_shipmode = 'AIR' +), +usa_suppliers_with_rail AS ( +SELECT DISTINCT l.l_suppkey +FROM lineitem l +JOIN supplier s ON l.l_suppkey = s.s_suppkey +JOIN nation n ON s.s_nationkey = n.n_nationkey +WHERE n.n_name = 'UNITED STATES' +AND l.l_shipmode = 'RAIL' +) +SELECT COUNT(*) AS supplier_count +FROM usa_suppliers_with_air a +JOIN usa_suppliers_with_rail r ON a.l_suppkey = r.l_suppkey; +/* EXEC RESULT + supplier_count + 391 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.0-C.1` ----- +/* +{ + "id": "GQRY-A.1-B.0-C.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] America": "Americas (region)", + "[B] suppliers that offer both air and rail shipping in America": "suppliers in America that offer air and rail shipping", + "[C] air": "ship mode is AIR" + } + } +} +*/ +WITH usa_suppliers_with_air AS ( +SELECT DISTINCT l.l_suppkey +FROM lineitem l +JOIN supplier s ON l.l_suppkey = s.s_suppkey +JOIN nation n ON s.s_nationkey = n.n_nationkey +JOIN region r ON n.n_regionkey = r.r_regionkey +WHERE r.r_name = 'AMERICA' +AND l.l_shipmode = 'AIR' +), +usa_suppliers_with_rail AS ( +SELECT DISTINCT l.l_suppkey +FROM lineitem l +JOIN supplier s ON l.l_suppkey = s.s_suppkey +JOIN nation n ON s.s_nationkey = n.n_nationkey +JOIN region r ON n.n_regionkey = r.r_regionkey +WHERE r.r_name = 'AMERICA' +AND l.l_shipmode = 'RAIL' +) +SELECT COUNT(*) AS supplier_count +FROM usa_suppliers_with_air a +JOIN usa_suppliers_with_rail r ON a.l_suppkey = r.l_suppkey; +/* EXEC RESULT + supplier_count + 1992 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.1-C.0` ----- +/* +{ + "id": "GQRY-A.1-B.1-C.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] America": "United States (country)", + "[B] suppliers that offer both air and rail shipping in America": "suppliers in America that offer air and rail shipping", + "[C] air": "ship mode is AIR or REG AIR" + } + } +} +*/ +WITH usa_suppliers_with_air AS ( +SELECT DISTINCT l.l_suppkey +FROM lineitem l +JOIN supplier s ON l.l_suppkey = s.s_suppkey +JOIN nation n ON s.s_nationkey = n.n_nationkey +WHERE n.n_name = 'UNITED STATES' +AND l.l_shipmode IN ('AIR', 'REG AIR') +), +usa_suppliers_with_rail AS ( +SELECT DISTINCT l.l_suppkey +FROM lineitem l +JOIN supplier s ON l.l_suppkey = s.s_suppkey +JOIN nation n ON s.s_nationkey = n.n_nationkey +WHERE n.n_name = 'UNITED STATES' +AND l.l_shipmode = 'RAIL' +) +SELECT COUNT(*) AS supplier_count +FROM usa_suppliers_with_air a +JOIN usa_suppliers_with_rail r ON a.l_suppkey = r.l_suppkey; +/* EXEC RESULT + supplier_count + 391 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.1-C.1` ----- +/* +{ + "id": "GQRY-A.1-B.1-C.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] America": "Americas (region)", + "[B] suppliers that offer both air and rail shipping in America": "suppliers in America that offer air and rail shipping", + "[C] air": "ship mode is AIR or REG AIR" + } + } +} +*/ +WITH usa_suppliers_with_air AS ( +SELECT DISTINCT l.l_suppkey +FROM lineitem l +JOIN supplier s ON l.l_suppkey = s.s_suppkey +JOIN nation n ON s.s_nationkey = n.n_nationkey +JOIN region r ON n.n_regionkey = r.r_regionkey +WHERE r.r_name = 'AMERICA' +AND l.l_shipmode IN ('AIR', 'REG AIR') +), +usa_suppliers_with_rail AS ( +SELECT DISTINCT l.l_suppkey +FROM lineitem l +JOIN supplier s ON l.l_suppkey = s.s_suppkey +JOIN nation n ON s.s_nationkey = n.n_nationkey +JOIN region r ON n.n_regionkey = r.r_regionkey +WHERE r.r_name = 'AMERICA' +AND l.l_shipmode = 'RAIL' +) +SELECT COUNT(*) AS supplier_count +FROM usa_suppliers_with_air a +JOIN usa_suppliers_with_rail r ON a.l_suppkey = r.l_suppkey; +/* EXEC RESULT + supplier_count + 1992 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/003/gold_csv/GQRY-A.0.csv b/tasks/readable/003/gold_csv/GQRY-A.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..001214fdce93397206d4dc381d00d2ef49cb1d92 --- /dev/null +++ b/tasks/readable/003/gold_csv/GQRY-A.0.csv @@ -0,0 +1,2 @@ +s_suppkey,s_name,inventory_value_supply_cost +5704,Supplier#000005704,281196358.57 diff --git a/tasks/readable/003/gold_csv/GQRY-A.1.csv b/tasks/readable/003/gold_csv/GQRY-A.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..166ce3c44544b93cdbfd3ae98ce8676418d533e3 --- /dev/null +++ b/tasks/readable/003/gold_csv/GQRY-A.1.csv @@ -0,0 +1,2 @@ +s_suppkey,s_name,inventory_value_retail_price +7482,Supplier#000007482,813862297.7500002 diff --git a/tasks/readable/003/task_readable.sql b/tasks/readable/003/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..16f057764bc0cd1b40c1b7391b8cf73bd704565e --- /dev/null +++ b/tasks/readable/003/task_readable.sql @@ -0,0 +1,94 @@ +/* +{ + "qid": "003", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "retails", + "question": "Which supplier has the largest inventory value?", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "inventory value", + "type": "finite", + "ambiguity_type": "semantic_column", + "interpretations": [ + "value at supply cost", + "value at retail price" + ], + "intended_interpretation_idx": 0 + } + ], + "gold_intended_query_id": "GQRY-A.0", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0` ----- +/* +{ + "id": "GQRY-A.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] inventory value": "value at supply cost" + } + } +} +*/ +SELECT +s.s_suppkey, +s.s_name, +SUM(ps.ps_supplycost * ps.ps_availqty) as inventory_value_supply_cost +FROM supplier s +JOIN partsupp ps ON s.s_suppkey = ps.ps_suppkey +GROUP BY s.s_suppkey, s.s_name +ORDER BY inventory_value_supply_cost DESC +LIMIT 1; +/* EXEC RESULT + s_suppkey s_name inventory_value_supply_cost + 5704 Supplier#000005704 281196358.57 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1` ----- +/* +{ + "id": "GQRY-A.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] inventory value": "value at retail price" + } + } +} +*/ +SELECT +s.s_suppkey, +s.s_name, +SUM(p.p_retailprice * ps.ps_availqty) as inventory_value_retail_price +FROM supplier s +JOIN partsupp ps ON s.s_suppkey = ps.ps_suppkey +JOIN part p ON ps.ps_partkey = p.p_partkey +GROUP BY s.s_suppkey, s.s_name +ORDER BY inventory_value_retail_price DESC +LIMIT 1; +/* EXEC RESULT + s_suppkey s_name inventory_value_retail_price + 7482 Supplier#000007482 813862297.75 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/004/gold_csv/GQRY-B.0.csv b/tasks/readable/004/gold_csv/GQRY-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..5a30156e0d33363b7b06d27f6988edc248dc7f80 --- /dev/null +++ b/tasks/readable/004/gold_csv/GQRY-B.0.csv @@ -0,0 +1,156 @@ +c_custkey,c_name,c_acctbal,num_priority_order +14740,Customer#000014740,9999.96,2 +118127,Customer#000118127,9999.94,3 +48616,Customer#000048616,9999.84,3 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b/tasks/readable/004/gold_csv/GQRY-B.3.csv @@ -0,0 +1,156 @@ +c_custkey,c_name,c_acctbal,num_priority_order +14740,Customer#000014740,9999.96,0 +118127,Customer#000118127,9999.94,0 +48616,Customer#000048616,9999.84,0 +75730,Customer#000075730,9999.8,0 +73836,Customer#000073836,9999.75,0 +72823,Customer#000072823,9999.65,0 +122154,Customer#000122154,9999.6,0 +330,Customer#000000330,9999.59,0 +97961,Customer#000097961,9999.56,0 +7986,Customer#000007986,9999.53,0 +41460,Customer#000041460,9999.49,0 +84316,Customer#000084316,9999.28,0 +134353,Customer#000134353,9999.25,0 +5585,Customer#000005585,9999.24,0 +6656,Customer#000006656,9999.03,0 +717,Customer#000000717,9998.94,0 +21734,Customer#000021734,9998.72,0 +58980,Customer#000058980,9998.66,0 +60943,Customer#000060943,9998.61,0 +147958,Customer#000147958,9998.59,0 +7776,Customer#000007776,9998.58,0 +96856,Customer#000096856,9998.54,0 +116570,Customer#000116570,9998.47,0 +62602,Customer#000062602,9998.46,0 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0000000000000000000000000000000000000000..a1b7252d5bd7e3ebdce9021a5e03723f1a18cb61 --- /dev/null +++ b/tasks/readable/004/task_readable.sql @@ -0,0 +1,260 @@ +/* +{ + "qid": "004", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "retails", + "question": "Find all customers with high account balances and list their number of priority orders.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "high account balances", + "type": "infinite", + "ambiguity_type": "semantic_value", + "parameter_name": "account_balance_threshold", + "parameter_dtype": "int", + "parameter_sample_operators": [ + ">", + ">=" + ], + "parameter_sample_values": [ + 9990 + ], + "intended_parameter_operator": ">", + "intended_parameter_value": 9990 + }, + { + "id": "B", + "phrase": "priority orders", + "type": "finite", + "ambiguity_type": "semantic_column", + "interpretations": [ + "orders with orderpriority URGENT", + "orders with orderpriority URGENT and HIGH", + "orders with orderpriority URGENT, HIGH and MEDIUM", + "orders with shippriority > 0" + ], + "intended_interpretation_idx": 0 + } + ], + "gold_intended_query_id": "GQRY-B.0", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-B.0` ----- +/* +{ + "id": "GQRY-B.0", + "parameter_names": [ + "account_balance_threshold" + ], + "parameter_values": { + "account_balance_threshold": 9990 + }, + "other_exec_results": [], + "required_columns": [ + 1, + 3 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] high account balances": ":account_balance_threshold", + "[B] priority orders": "orders with orderpriority URGENT" + } + } +} +*/ +WITH high_balance_customers AS ( +SELECT c_custkey, c_name, c_acctbal +FROM customer +WHERE c_acctbal > :account_balance_threshold +) +SELECT c.c_custkey, +c.c_name, +c.c_acctbal, +COUNT(CASE WHEN o.o_orderpriority IN ('1-URGENT') THEN o.o_orderkey END) AS num_priority_order +FROM high_balance_customers c +LEFT JOIN orders o ON c.c_custkey = o.o_custkey +GROUP BY c.c_custkey, c.c_name +ORDER BY c.c_acctbal DESC; +/* EXEC RESULT + c_custkey c_name c_acctbal num_priority_order + 14740 Customer#000014740 9999.96 2 + 118127 Customer#000118127 9999.94 3 + 48616 Customer#000048616 9999.84 3 + 75730 Customer#000075730 9999.80 2 + 73836 Customer#000073836 9999.75 0 +... TRUNCATED ... + 70545 Customer#000070545 9990.36 0 + 58141 Customer#000058141 9990.30 3 + 104991 Customer#000104991 9990.27 0 + 43643 Customer#000043643 9990.11 1 + 101724 Customer#000101724 9990.08 0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-B.1` ----- +/* +{ + "id": "GQRY-B.1", + "parameter_names": [ + "account_balance_threshold" + ], + "parameter_values": { + "account_balance_threshold": 9990 + }, + "other_exec_results": [], + "required_columns": [ + 1, + 3 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] high account balances": ":account_balance_threshold", + "[B] priority orders": "orders with orderpriority URGENT and HIGH" + } + } +} +*/ +WITH high_balance_customers AS ( +SELECT c_custkey, c_name, c_acctbal +FROM customer +WHERE c_acctbal > :account_balance_threshold +) +SELECT c.c_custkey, +c.c_name, +c.c_acctbal, +COUNT(CASE WHEN o.o_orderpriority IN ('1-URGENT', '2-HIGH') THEN o.o_orderkey END) AS num_priority_order +FROM high_balance_customers c +LEFT JOIN orders o ON c.c_custkey = o.o_custkey +GROUP BY c.c_custkey, c.c_name +ORDER BY c.c_acctbal DESC; +/* EXEC RESULT + c_custkey c_name c_acctbal num_priority_order + 14740 Customer#000014740 9999.96 5 + 118127 Customer#000118127 9999.94 4 + 48616 Customer#000048616 9999.84 6 + 75730 Customer#000075730 9999.80 5 + 73836 Customer#000073836 9999.75 0 +... TRUNCATED ... + 70545 Customer#000070545 9990.36 0 + 58141 Customer#000058141 9990.30 8 + 104991 Customer#000104991 9990.27 0 + 43643 Customer#000043643 9990.11 2 + 101724 Customer#000101724 9990.08 0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-B.2` ----- +/* +{ + "id": "GQRY-B.2", + "parameter_names": [ + "account_balance_threshold" + ], + "parameter_values": { + "account_balance_threshold": 9990 + }, + "other_exec_results": [], + "required_columns": [ + 1, + 3 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] high account balances": ":account_balance_threshold", + "[B] priority orders": "orders with orderpriority URGENT, HIGH and MEDIUM" + } + } +} +*/ +WITH high_balance_customers AS ( +SELECT c_custkey, c_name, c_acctbal +FROM customer +WHERE c_acctbal > :account_balance_threshold +) +SELECT c.c_custkey, +c.c_name, +c.c_acctbal, +COUNT(CASE WHEN o.o_orderpriority IN ('1-URGENT', '2-HIGH', '3-MEDIUM') THEN o.o_orderkey END) AS num_priority_order +FROM high_balance_customers c +LEFT JOIN orders o ON c.c_custkey = o.o_custkey +GROUP BY c.c_custkey, c.c_name +ORDER BY c.c_acctbal DESC; +/* EXEC RESULT + c_custkey c_name c_acctbal num_priority_order + 14740 Customer#000014740 9999.96 12 + 118127 Customer#000118127 9999.94 5 + 48616 Customer#000048616 9999.84 9 + 75730 Customer#000075730 9999.80 7 + 73836 Customer#000073836 9999.75 0 +... TRUNCATED ... + 70545 Customer#000070545 9990.36 0 + 58141 Customer#000058141 9990.30 12 + 104991 Customer#000104991 9990.27 0 + 43643 Customer#000043643 9990.11 2 + 101724 Customer#000101724 9990.08 0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-B.3` ----- +/* +{ + "id": "GQRY-B.3", + "parameter_names": [ + "account_balance_threshold" + ], + "parameter_values": { + "account_balance_threshold": 9990 + }, + "other_exec_results": [], + "required_columns": [ + 1, + 3 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] high account balances": ":account_balance_threshold", + "[B] priority orders": "orders with shippriority > 0" + } + } +} +*/ +WITH high_balance_customers AS ( +SELECT c_custkey, c_name, c_acctbal +FROM customer +WHERE c_acctbal > :account_balance_threshold +) +SELECT c.c_custkey, +c.c_name, +c.c_acctbal, +COUNT(CASE WHEN o.o_shippriority > 0 THEN o.o_orderkey END) AS num_priority_order +FROM high_balance_customers c +LEFT JOIN orders o ON c.c_custkey = o.o_custkey +GROUP BY c.c_custkey, c.c_name +ORDER BY c.c_acctbal DESC; +/* EXEC RESULT + c_custkey c_name c_acctbal num_priority_order + 14740 Customer#000014740 9999.96 0 + 118127 Customer#000118127 9999.94 0 + 48616 Customer#000048616 9999.84 0 + 75730 Customer#000075730 9999.80 0 + 73836 Customer#000073836 9999.75 0 +... TRUNCATED ... + 70545 Customer#000070545 9990.36 0 + 58141 Customer#000058141 9990.30 0 + 104991 Customer#000104991 9990.27 0 + 43643 Customer#000043643 9990.11 0 + 101724 Customer#000101724 9990.08 0 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/005/gold_csv/GQRY-A.0-B.0.csv b/tasks/readable/005/gold_csv/GQRY-A.0-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..059c8e4e42f07dbf74514b862db6895851a78d93 --- /dev/null +++ b/tasks/readable/005/gold_csv/GQRY-A.0-B.0.csv @@ -0,0 +1,5 @@ +p_partkey,p_name,max_supply_cost +27602,powder tan cornsilk orchid sandy,1000.0 +31719,turquoise burlywood ghost sienna rose,1000.0 +81249,orange forest salmon cornsilk chartreuse,1000.0 +126098,cornsilk antique maroon blush khaki,1000.0 diff --git a/tasks/readable/005/gold_csv/GQRY-A.0-B.1.csv b/tasks/readable/005/gold_csv/GQRY-A.0-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..ff072edd28aef0c209f59200c8cf24d98c1ba96f --- /dev/null +++ b/tasks/readable/005/gold_csv/GQRY-A.0-B.1.csv @@ -0,0 +1,2 @@ +p_partkey,p_name,p_retailprice +199999,dark chartreuse dim lime sandy,2098.99 diff --git a/tasks/readable/005/gold_csv/GQRY-A.0-B.2.csv b/tasks/readable/005/gold_csv/GQRY-A.0-B.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..df450918661d5083514cda5343fe1cfd8e347e2a --- /dev/null +++ b/tasks/readable/005/gold_csv/GQRY-A.0-B.2.csv @@ -0,0 +1,2 @@ +p_partkey,p_name,max_unit_price +199999,dark chartreuse dim lime sandy,2098.99 diff --git a/tasks/readable/005/gold_csv/GQRY-A.1-B.0.csv b/tasks/readable/005/gold_csv/GQRY-A.1-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..4fcd2e0a033422975e939eb35d073a9432bddbdf --- /dev/null +++ b/tasks/readable/005/gold_csv/GQRY-A.1-B.0.csv @@ -0,0 +1,2 @@ +p_partkey,p_name,avg_supply_cost +74188,cyan cornflower purple lawn cornflower,969.2425 diff --git a/tasks/readable/005/gold_csv/GQRY-A.1-B.1.csv b/tasks/readable/005/gold_csv/GQRY-A.1-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..ff072edd28aef0c209f59200c8cf24d98c1ba96f --- /dev/null +++ b/tasks/readable/005/gold_csv/GQRY-A.1-B.1.csv @@ -0,0 +1,2 @@ +p_partkey,p_name,p_retailprice +199999,dark chartreuse dim lime sandy,2098.99 diff --git a/tasks/readable/005/gold_csv/GQRY-A.1-B.2.csv b/tasks/readable/005/gold_csv/GQRY-A.1-B.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..e628e82d73d28388bcdb427352225e3cc8d27d2f --- /dev/null +++ b/tasks/readable/005/gold_csv/GQRY-A.1-B.2.csv @@ -0,0 +1,2 @@ +p_partkey,p_name,avg_unit_price +187996,almond khaki firebrick honeydew lime,2035.3635666666664 diff --git a/tasks/readable/005/task_readable.sql b/tasks/readable/005/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..0ce111879ff00ae8112466e736e705ad2547f808 --- /dev/null +++ b/tasks/readable/005/task_readable.sql @@ -0,0 +1,242 @@ +/* +{ + "qid": "005", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "retails", + "question": "Which part has the highest price?", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "highest price", + "type": "finite", + "ambiguity_type": "semantic_computation", + "interpretations": [ + "highest absolute maximum price", + "highest average price (aggregated over suppliers and orders)" + ], + "intended_interpretation_idx": 1 + }, + { + "id": "B", + "phrase": "price", + "type": "finite", + "ambiguity_type": "semantic_computation", + "interpretations": [ + "supply cost", + "listed retail price", + "final transaction price" + ], + "intended_interpretation_idx": 1 + } + ], + "gold_intended_query_id": "GQRY-A.1-B.1", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0-B.0` ----- +/* +{ + "id": "GQRY-A.0-B.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] price": "supply cost", + "[B] highest price": "highest absolute maximum price" + } + } +} +*/ +WITH part_max_supply_cost AS ( +SELECT p.p_partkey, p.p_name, MAX(ps.ps_supplycost) as max_supply_cost +FROM part p +JOIN partsupp ps ON p.p_partkey = ps.ps_partkey +GROUP BY p.p_partkey, p.p_name +) +SELECT pasc.p_partkey, pasc.p_name, pasc.max_supply_cost +FROM part_max_supply_cost pasc +WHERE pasc.max_supply_cost = (SELECT MAX(max_supply_cost) FROM part_max_supply_cost) +ORDER BY pasc.p_partkey; +/* EXEC RESULT + p_partkey p_name max_supply_cost + 27602 powder tan cornsilk orchid sandy 1000.0 + 31719 turquoise burlywood ghost sienna rose 1000.0 + 81249 orange forest salmon cornsilk chartreuse 1000.0 + 126098 cornsilk antique maroon blush khaki 1000.0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.1` ----- +/* +{ + "id": "GQRY-A.0-B.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] price": "listed retail price", + "[B] highest price": "highest absolute maximum price" + } + } +} +*/ +SELECT p_partkey, p_name, p_retailprice +FROM part p +WHERE p_retailprice = (SELECT MAX(p_retailprice) FROM part) +ORDER BY p_partkey; +/* EXEC RESULT + p_partkey p_name p_retailprice + 199999 dark chartreuse dim lime sandy 2098.99 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.2` ----- +/* +{ + "id": "GQRY-A.0-B.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] price": "final transaction price", + "[B] highest price": "highest absolute maximum price" + } + } +} +*/ +WITH max_unit_transaction_price AS ( +SELECT p.p_partkey, p.p_name, MAX((l.l_extendedprice * (1 - l.l_discount)) / l.l_quantity) as max_unit_price +FROM lineitem l JOIN part p ON l.l_partkey = p.p_partkey +GROUP BY p.p_partkey, p.p_name +) +SELECT mupt.p_partkey, mupt.p_name, mupt.max_unit_price +FROM max_unit_transaction_price mupt +WHERE mupt.max_unit_price = (SELECT MAX(max_unit_price) FROM max_unit_transaction_price) +ORDER BY mupt.p_partkey; +/* EXEC RESULT + p_partkey p_name max_unit_price + 199999 dark chartreuse dim lime sandy 2098.99 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.0` ----- +/* +{ + "id": "GQRY-A.1-B.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] price": "supply cost", + "[B] highest price": "highest average price (aggregated over suppliers and orders)" + } + } +} +*/ +WITH part_avg_supply_cost AS ( +SELECT p.p_partkey, p.p_name, AVG(ps.ps_supplycost) as avg_supply_cost +FROM part p +JOIN partsupp ps ON p.p_partkey = ps.ps_partkey +GROUP BY p.p_partkey, p.p_name +) +SELECT pasc.p_partkey, pasc.p_name, pasc.avg_supply_cost +FROM part_avg_supply_cost pasc +WHERE pasc.avg_supply_cost = (SELECT MAX(avg_supply_cost) FROM part_avg_supply_cost) +ORDER BY pasc.p_partkey; +/* EXEC RESULT + p_partkey p_name avg_supply_cost + 74188 cyan cornflower purple lawn cornflower 969.2425 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.1` ----- +/* +{ + "id": "GQRY-A.1-B.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] price": "listed retail price", + "[B] highest price": "highest average price (aggregated over suppliers and orders)" + } + } +} +*/ +SELECT p_partkey, p_name, p_retailprice +FROM part p +WHERE p_retailprice = (SELECT MAX(p_retailprice) FROM part) +ORDER BY p_partkey; +/* EXEC RESULT + p_partkey p_name p_retailprice + 199999 dark chartreuse dim lime sandy 2098.99 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.2` ----- +/* +{ + "id": "GQRY-A.1-B.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] price": "final transaction price", + "[B] highest price": "highest average price (aggregated over suppliers and orders)" + } + } +} +*/ +WITH avg_unit_transaction_price AS ( +SELECT p.p_partkey, p.p_name, AVG((l.l_extendedprice * (1 - l.l_discount)) / l.l_quantity) as avg_unit_price +FROM lineitem l JOIN part p ON l.l_partkey = p.p_partkey +GROUP BY p.p_partkey, p.p_name +) +SELECT aupt.p_partkey, aupt.p_name, aupt.avg_unit_price +FROM avg_unit_transaction_price aupt +WHERE aupt.avg_unit_price = (SELECT MAX(avg_unit_price) FROM avg_unit_transaction_price) +ORDER BY aupt.p_partkey; +/* EXEC RESULT + p_partkey p_name avg_unit_price + 187996 almond khaki firebrick honeydew lime 2035.363567 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/006/gold_csv/GQRY-A.0.csv b/tasks/readable/006/gold_csv/GQRY-A.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..e2bd2e8dbfd8a155c7177bc162644961a050714b --- /dev/null +++ b/tasks/readable/006/gold_csv/GQRY-A.0.csv @@ -0,0 +1,2 @@ +COUNT(DISTINCT s.s_suppkey) +998 diff --git a/tasks/readable/006/gold_csv/GQRY-A.1.csv b/tasks/readable/006/gold_csv/GQRY-A.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..289a07bf62ed2752cfaf45c821c546c6efe86320 --- /dev/null +++ b/tasks/readable/006/gold_csv/GQRY-A.1.csv @@ -0,0 +1,2 @@ +COUNT(DISTINCT s.s_suppkey) +124 diff --git a/tasks/readable/006/task_readable.sql b/tasks/readable/006/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..11da4575e4a6c4a21e5254e42eda7c0ec8b1f20e --- /dev/null +++ b/tasks/readable/006/task_readable.sql @@ -0,0 +1,123 @@ +/* +{ + "qid": "006", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "retails", + "question": "Count number of suppliers with negative balance or located in Africa and do not supply Brand#32.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "with negative balance or located in Africa and do not supply Brand#32", + "type": "finite", + "ambiguity_type": "syntactic_computation", + "interpretations": [ + "suppliers (with negative balance) OR (located in Africa AND do not supply Brand#32)", + "suppliers (with negative balance OR located in Africa) AND (do not supply Brand#32)" + ], + "intended_interpretation_idx": 1 + } + ], + "gold_intended_query_id": "GQRY-A.1", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0` ----- +/* +{ + "id": "GQRY-A.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] with negative balance or located in Africa and do not supply Brand#32": "suppliers (with negative balance) OR (located in Africa AND do not supply Brand#32)" + } + } +} +*/ +WITH negative_balance_suppliers AS ( +SELECT s.s_suppkey +FROM supplier s +WHERE s.s_acctbal < 0 +) +, africa_suppliers AS ( +SELECT DISTINCT s.s_suppkey +FROM supplier s +JOIN nation n ON s.s_nationkey = n.n_nationkey +JOIN region r ON n.n_regionkey = r.r_regionkey +WHERE r.r_name = 'AFRICA' +) +, brand_32_suppliers AS ( +SELECT DISTINCT s.s_suppkey +FROM supplier s +JOIN partsupp ps ON s.s_suppkey = ps.ps_suppkey +JOIN part p ON ps.ps_partkey = p.p_partkey +WHERE p.p_brand = 'Brand#32' +) +SELECT COUNT(DISTINCT s.s_suppkey) +FROM supplier s +WHERE s.s_suppkey IN (SELECT s_suppkey FROM negative_balance_suppliers) +OR ( +s.s_suppkey IN (SELECT s_suppkey FROM africa_suppliers) +AND s.s_suppkey NOT IN (SELECT s_suppkey FROM brand_32_suppliers) +); +/* EXEC RESULT + COUNT(DISTINCT s.s_suppkey) + 998 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1` ----- +/* +{ + "id": "GQRY-A.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] with negative balance or located in Africa and do not supply Brand#32": "suppliers (with negative balance OR located in Africa) AND (do not supply Brand#32)" + } + } +} +*/ +WITH negative_balance_suppliers AS ( +SELECT s.s_suppkey +FROM supplier s +WHERE s.s_acctbal < 0 +) +, africa_suppliers AS ( +SELECT DISTINCT s.s_suppkey +FROM supplier s +JOIN nation n ON s.s_nationkey = n.n_nationkey +JOIN region r ON n.n_regionkey = r.r_regionkey +WHERE r.r_name = 'AFRICA' +) +, brand_32_suppliers AS ( +SELECT DISTINCT s.s_suppkey +FROM supplier s +JOIN partsupp ps ON s.s_suppkey = ps.ps_suppkey +JOIN part p ON ps.ps_partkey = p.p_partkey +WHERE p.p_brand = 'Brand#32' +) +SELECT COUNT(DISTINCT s.s_suppkey) +FROM supplier s +WHERE ( +s.s_suppkey IN (SELECT s_suppkey FROM negative_balance_suppliers) +OR +s.s_suppkey IN (SELECT s_suppkey FROM africa_suppliers) +) AND s.s_suppkey NOT IN (SELECT s_suppkey FROM brand_32_suppliers); +/* EXEC RESULT + COUNT(DISTINCT s.s_suppkey) + 124 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/007/gold_csv/GQRY-A.0-B.0-C.0.csv b/tasks/readable/007/gold_csv/GQRY-A.0-B.0-C.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..f062a5278af08192e20857c5b8fe31c164475785 --- /dev/null +++ b/tasks/readable/007/gold_csv/GQRY-A.0-B.0-C.0.csv @@ -0,0 +1,2 @@ +total_distinct_parts +120499 diff --git a/tasks/readable/007/gold_csv/GQRY-A.0-B.0-C.1.csv b/tasks/readable/007/gold_csv/GQRY-A.0-B.0-C.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..6a0dc12147166e4c5f37b6834721dd70d85ec606 --- /dev/null +++ b/tasks/readable/007/gold_csv/GQRY-A.0-B.0-C.1.csv @@ -0,0 +1,2 @@ +total_distinct_parts +74114 diff --git a/tasks/readable/007/gold_csv/GQRY-A.0-B.1-C.0.csv b/tasks/readable/007/gold_csv/GQRY-A.0-B.1-C.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..949e1a9b5c4e682c16224014d0e57e3ac16ae32f --- /dev/null +++ b/tasks/readable/007/gold_csv/GQRY-A.0-B.1-C.0.csv @@ -0,0 +1,2 @@ +total_distinct_parts +179839 diff --git a/tasks/readable/007/gold_csv/GQRY-A.0-B.1-C.1.csv b/tasks/readable/007/gold_csv/GQRY-A.0-B.1-C.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..5b1133f7c3f2241ed514e67c6c68f1b496b4c162 --- /dev/null +++ b/tasks/readable/007/gold_csv/GQRY-A.0-B.1-C.1.csv @@ -0,0 +1,2 @@ +total_distinct_parts +136931 diff --git a/tasks/readable/007/gold_csv/GQRY-A.1-B.0-C.0.csv b/tasks/readable/007/gold_csv/GQRY-A.1-B.0-C.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..5fa82d9905dbd528fbd583b736b15d47608dbbb8 --- /dev/null +++ b/tasks/readable/007/gold_csv/GQRY-A.1-B.0-C.0.csv @@ -0,0 +1,2 @@ +q4_1996_count,q4_1997_count +73977,73514 diff --git a/tasks/readable/007/gold_csv/GQRY-A.1-B.0-C.1.csv b/tasks/readable/007/gold_csv/GQRY-A.1-B.0-C.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..37dc4649a73adf0fc9052a87592fdbdef4ea2c04 --- /dev/null +++ b/tasks/readable/007/gold_csv/GQRY-A.1-B.0-C.1.csv @@ -0,0 +1,2 @@ +q4_1996_count,q4_1997_count +41607,40890 diff --git a/tasks/readable/007/gold_csv/GQRY-A.1-B.1-C.0.csv b/tasks/readable/007/gold_csv/GQRY-A.1-B.1-C.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..5f45eb9fcda1a371aeb57e6184909e3f456be04b --- /dev/null +++ b/tasks/readable/007/gold_csv/GQRY-A.1-B.1-C.0.csv @@ -0,0 +1,2 @@ +q4_1996_count,q4_1997_count +73977,167937 diff --git a/tasks/readable/007/gold_csv/GQRY-A.1-B.1-C.1.csv b/tasks/readable/007/gold_csv/GQRY-A.1-B.1-C.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..6db688a14885512f82011acbf46affbe66925038 --- /dev/null +++ b/tasks/readable/007/gold_csv/GQRY-A.1-B.1-C.1.csv @@ -0,0 +1,2 @@ +q4_1996_count,q4_1997_count +41607,120171 diff --git a/tasks/readable/007/task_readable.sql b/tasks/readable/007/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..34e43f8a9b7ca94bc4c54fde281387d83b12457c --- /dev/null +++ b/tasks/readable/007/task_readable.sql @@ -0,0 +1,351 @@ +/* +{ + "qid": "007", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "retails", + "question": "Count total number of distinct parts shipped in Q4 1996 and 1997 from orders with high order priority.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "Count total number of distinct parts shipped in Q4 1996 and 1997", + "type": "finite", + "ambiguity_type": "syntactic_computation", + "interpretations": [ + "count all distinct part in the specified period", + "count total parts in Q4 1996 and count total parts in Q4 1997 (two separate counts)" + ], + "intended_interpretation_idx": 0 + }, + { + "id": "B", + "phrase": "Q4 1996 and 1997", + "type": "finite", + "ambiguity_type": "syntactic_value", + "interpretations": [ + "Q4 1996 and Q4 1997", + "Q4 1996 and entire 1997" + ], + "intended_interpretation_idx": 1 + }, + { + "id": "C", + "phrase": "high order priority", + "type": "finite", + "ambiguity_type": "semantic_value", + "interpretations": [ + "orderpriority is HIGH or URGENT", + "orderpriority is exactly HIGH" + ], + "intended_interpretation_idx": 0 + } + ], + "gold_intended_query_id": "GQRY-A.0-B.1-C.0", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0-B.0-C.0` ----- +/* +{ + "id": "GQRY-A.0-B.0-C.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Q4 1996 and 1997": "Q4 1996 and Q4 1997", + "[B] Count total number of distinct parts shipped in Q4 1996 and 1997": "count all distinct part in the specified period", + "[C] high order priority": "orderpriority is HIGH or URGENT" + } + } +} +*/ +SELECT COUNT(DISTINCT p.p_partkey) as total_distinct_parts +FROM lineitem l +JOIN part p ON l.l_partkey = p.p_partkey +JOIN orders o ON l.l_orderkey = o.o_orderkey +WHERE o.o_orderpriority IN ('1-URGENT', '2-HIGH') +AND ( +(l.l_shipdate >= '1996-10-01' AND l.l_shipdate < '1997-01-01') OR +(l.l_shipdate >= '1997-10-01' AND l.l_shipdate < '1998-01-01') +); +/* EXEC RESULT + total_distinct_parts + 120499 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.0-C.1` ----- +/* +{ + "id": "GQRY-A.0-B.0-C.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Q4 1996 and 1997": "Q4 1996 and Q4 1997", + "[B] Count total number of distinct parts shipped in Q4 1996 and 1997": "count all distinct part in the specified period", + "[C] high order priority": "orderpriority is exactly HIGH" + } + } +} +*/ +SELECT COUNT(DISTINCT p.p_partkey) as total_distinct_parts +FROM lineitem l +JOIN part p ON l.l_partkey = p.p_partkey +JOIN orders o ON l.l_orderkey = o.o_orderkey +WHERE o.o_orderpriority = '2-HIGH' +AND ( +(l.l_shipdate >= '1996-10-01' AND l.l_shipdate < '1997-01-01') OR +(l.l_shipdate >= '1997-10-01' AND l.l_shipdate < '1998-01-01') +); +/* EXEC RESULT + total_distinct_parts + 74114 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.1-C.0` ----- +/* +{ + "id": "GQRY-A.0-B.1-C.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Q4 1996 and 1997": "Q4 1996 and entire 1997", + "[B] Count total number of distinct parts shipped in Q4 1996 and 1997": "count all distinct part in the specified period", + "[C] high order priority": "orderpriority is HIGH or URGENT" + } + } +} +*/ +SELECT COUNT(DISTINCT p.p_partkey) as total_distinct_parts +FROM lineitem l +JOIN part p ON l.l_partkey = p.p_partkey +JOIN orders o ON l.l_orderkey = o.o_orderkey +WHERE o.o_orderpriority IN ('1-URGENT', '2-HIGH') +AND ( +(l.l_shipdate >= '1996-10-01' AND l.l_shipdate < '1997-01-01') OR +(l.l_shipdate >= '1997-01-01' AND l.l_shipdate < '1998-01-01') +); +/* EXEC RESULT + total_distinct_parts + 179839 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.1-C.1` ----- +/* +{ + "id": "GQRY-A.0-B.1-C.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Q4 1996 and 1997": "Q4 1996 and entire 1997", + "[B] Count total number of distinct parts shipped in Q4 1996 and 1997": "count all distinct part in the specified period", + "[C] high order priority": "orderpriority is exactly HIGH" + } + } +} +*/ +SELECT COUNT(DISTINCT p.p_partkey) as total_distinct_parts +FROM lineitem l +JOIN part p ON l.l_partkey = p.p_partkey +JOIN orders o ON l.l_orderkey = o.o_orderkey +WHERE o.o_orderpriority = '2-HIGH' +AND ( +(l.l_shipdate >= '1996-10-01' AND l.l_shipdate < '1997-01-01') OR +(l.l_shipdate >= '1997-01-01' AND l.l_shipdate < '1998-01-01') +); +/* EXEC RESULT + total_distinct_parts + 136931 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.0-C.0` ----- +/* +{ + "id": "GQRY-A.1-B.0-C.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Q4 1996 and 1997": "Q4 1996 and Q4 1997", + "[B] Count total number of distinct parts shipped in Q4 1996 and 1997": "count total parts in Q4 1996 and count total parts in Q4 1997 (two separate counts)", + "[C] high order priority": "orderpriority is HIGH or URGENT" + } + } +} +*/ +SELECT +(SELECT COUNT(DISTINCT p.p_partkey) +FROM lineitem l +JOIN part p ON l.l_partkey = p.p_partkey +JOIN orders o ON l.l_orderkey = o.o_orderkey +WHERE o.o_orderpriority IN ('1-URGENT', '2-HIGH') +AND l.l_shipdate >= '1996-10-01' +AND l.l_shipdate < '1997-01-01' +) as q4_1996_count, +(SELECT COUNT(DISTINCT p.p_partkey) +FROM lineitem l +JOIN part p ON l.l_partkey = p.p_partkey +JOIN orders o ON l.l_orderkey = o.o_orderkey +WHERE o.o_orderpriority IN ('1-URGENT', '2-HIGH') +AND l.l_shipdate >= '1997-10-01' +AND l.l_shipdate < '1998-01-01' +) as q4_1997_count; +/* EXEC RESULT + q4_1996_count q4_1997_count + 73977 73514 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.0-C.1` ----- +/* +{ + "id": "GQRY-A.1-B.0-C.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Q4 1996 and 1997": "Q4 1996 and Q4 1997", + "[B] Count total number of distinct parts shipped in Q4 1996 and 1997": "count total parts in Q4 1996 and count total parts in Q4 1997 (two separate counts)", + "[C] high order priority": "orderpriority is exactly HIGH" + } + } +} +*/ +SELECT +(SELECT COUNT(DISTINCT p.p_partkey) +FROM lineitem l +JOIN part p ON l.l_partkey = p.p_partkey +JOIN orders o ON l.l_orderkey = o.o_orderkey +WHERE o.o_orderpriority = '2-HIGH' +AND l.l_shipdate >= '1996-10-01' +AND l.l_shipdate < '1997-01-01' +) as q4_1996_count, +(SELECT COUNT(DISTINCT p.p_partkey) +FROM lineitem l +JOIN part p ON l.l_partkey = p.p_partkey +JOIN orders o ON l.l_orderkey = o.o_orderkey +WHERE o.o_orderpriority = '2-HIGH' +AND l.l_shipdate >= '1997-10-01' +AND l.l_shipdate < '1998-01-01' +) as q4_1997_count; +/* EXEC RESULT + q4_1996_count q4_1997_count + 41607 40890 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.1-C.0` ----- +/* +{ + "id": "GQRY-A.1-B.1-C.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Q4 1996 and 1997": "Q4 1996 and entire 1997", + "[B] Count total number of distinct parts shipped in Q4 1996 and 1997": "count total parts in Q4 1996 and count total parts in Q4 1997 (two separate counts)", + "[C] high order priority": "orderpriority is HIGH or URGENT" + } + } +} +*/ +SELECT +(SELECT COUNT(DISTINCT p.p_partkey) +FROM lineitem l +JOIN part p ON l.l_partkey = p.p_partkey +JOIN orders o ON l.l_orderkey = o.o_orderkey +WHERE o.o_orderpriority IN ('1-URGENT', '2-HIGH') +AND l.l_shipdate >= '1996-10-01' +AND l.l_shipdate < '1997-01-01' +) as q4_1996_count, +(SELECT COUNT(DISTINCT p.p_partkey) +FROM lineitem l +JOIN part p ON l.l_partkey = p.p_partkey +JOIN orders o ON l.l_orderkey = o.o_orderkey +WHERE o.o_orderpriority IN ('1-URGENT', '2-HIGH') +AND l.l_shipdate >= '1997-01-01' +AND l.l_shipdate < '1998-01-01' +) as q4_1997_count; +/* EXEC RESULT + q4_1996_count q4_1997_count + 73977 167937 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.1-C.1` ----- +/* +{ + "id": "GQRY-A.1-B.1-C.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Q4 1996 and 1997": "Q4 1996 and entire 1997", + "[B] Count total number of distinct parts shipped in Q4 1996 and 1997": "count total parts in Q4 1996 and count total parts in Q4 1997 (two separate counts)", + "[C] high order priority": "orderpriority is exactly HIGH" + } + } +} +*/ +SELECT +(SELECT COUNT(DISTINCT p.p_partkey) +FROM lineitem l +JOIN part p ON l.l_partkey = p.p_partkey +JOIN orders o ON l.l_orderkey = o.o_orderkey +WHERE o.o_orderpriority = '2-HIGH' +AND l.l_shipdate >= '1996-10-01' +AND l.l_shipdate < '1997-01-01' +) as q4_1996_count, +(SELECT COUNT(DISTINCT p.p_partkey) +FROM lineitem l +JOIN part p ON l.l_partkey = p.p_partkey +JOIN orders o ON l.l_orderkey = o.o_orderkey +WHERE o.o_orderpriority = '2-HIGH' +AND l.l_shipdate >= '1997-01-01' +AND l.l_shipdate < '1998-01-01' +) as q4_1997_count; +/* EXEC RESULT + q4_1996_count q4_1997_count + 41607 120171 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/008/gold_csv/GQRY-A.0-B.0.csv b/tasks/readable/008/gold_csv/GQRY-A.0-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..e0bb5b8f25ee303803b956f828eb86387b4205f3 --- /dev/null +++ b/tasks/readable/008/gold_csv/GQRY-A.0-B.0.csv @@ -0,0 +1,2 @@ +p_mfgr,profit +Manufacturer#3,1098055932.9442012 diff --git a/tasks/readable/008/gold_csv/GQRY-A.0-B.1.csv b/tasks/readable/008/gold_csv/GQRY-A.0-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..e9f175c6002e6550e0c1c81200408cdf1db2bd30 --- /dev/null +++ b/tasks/readable/008/gold_csv/GQRY-A.0-B.1.csv @@ -0,0 +1,2 @@ +p_mfgr,profit +Manufacturer#3,1083648347.8153007 diff --git a/tasks/readable/008/gold_csv/GQRY-A.0-B.2.csv b/tasks/readable/008/gold_csv/GQRY-A.0-B.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..b646da2c2865552f96478e7081686a15da79fc65 --- /dev/null +++ b/tasks/readable/008/gold_csv/GQRY-A.0-B.2.csv @@ -0,0 +1,2 @@ +p_mfgr,profit +Manufacturer#3,1086487058.5698035 diff --git a/tasks/readable/008/gold_csv/GQRY-A.0-B.3.csv b/tasks/readable/008/gold_csv/GQRY-A.0-B.3.csv new file mode 100644 index 0000000000000000000000000000000000000000..0c7bd8647e7dd6904c734ed2b83a6030ef264baf --- /dev/null +++ b/tasks/readable/008/gold_csv/GQRY-A.0-B.3.csv @@ -0,0 +1,2 @@ +p_mfgr,profit +Manufacturer#3,1087062815.1286023 diff --git a/tasks/readable/008/gold_csv/GQRY-A.1-B.0.csv b/tasks/readable/008/gold_csv/GQRY-A.1-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..028bba66bb18a5531b8ddf3e0ad72cd840e390c0 --- /dev/null +++ b/tasks/readable/008/gold_csv/GQRY-A.1-B.0.csv @@ -0,0 +1,2 @@ +p_mfgr,profit +Manufacturer#3,551469817.2571994 diff --git a/tasks/readable/008/gold_csv/GQRY-A.1-B.1.csv b/tasks/readable/008/gold_csv/GQRY-A.1-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..5740ac9113fee9dae9f923c3a1158482d5037752 --- /dev/null +++ b/tasks/readable/008/gold_csv/GQRY-A.1-B.1.csv @@ -0,0 +1,2 @@ +p_mfgr,profit +Manufacturer#2,543419279.998601 diff --git a/tasks/readable/008/gold_csv/GQRY-A.1-B.2.csv b/tasks/readable/008/gold_csv/GQRY-A.1-B.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..7584573992f3e2c7a534842f744e9cce9203b623 --- /dev/null +++ b/tasks/readable/008/gold_csv/GQRY-A.1-B.2.csv @@ -0,0 +1,2 @@ +p_mfgr,profit +Manufacturer#2,545796441.3909999 diff --git a/tasks/readable/008/gold_csv/GQRY-A.1-B.3.csv b/tasks/readable/008/gold_csv/GQRY-A.1-B.3.csv new file mode 100644 index 0000000000000000000000000000000000000000..5f293e0f91a7613ee307a2b0515260b0388c2349 --- /dev/null +++ b/tasks/readable/008/gold_csv/GQRY-A.1-B.3.csv @@ -0,0 +1,2 @@ +p_mfgr,profit +Manufacturer#2,547099580.436901 diff --git a/tasks/readable/008/task_readable.sql b/tasks/readable/008/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..39859301db821879ca5c58321b1a707130d93b60 --- /dev/null +++ b/tasks/readable/008/task_readable.sql @@ -0,0 +1,340 @@ +/* +{ + "qid": "008", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "retails", + "question": "Identify the manufacturer that contributed the highest profit during the last quarter of 1994. Show the manufacturer and the profit.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "highest profit", + "type": "finite", + "ambiguity_type": "semantic_computation", + "interpretations": [ + "include returned items", + "exclude returned items" + ], + "intended_interpretation_idx": 1 + }, + { + "id": "B", + "phrase": "during the last quarter of 1994", + "type": "finite", + "ambiguity_type": "semantic_column", + "interpretations": [ + "ordered during the last quarter of 1994", + "committed during the last quarter of 1994", + "shipped during the last quarter of 1994", + "received during the last quarter of 1994" + ], + "intended_interpretation_idx": 1 + } + ], + "gold_intended_query_id": "GQRY-A.1-B.1", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0-B.0` ----- +/* +{ + "id": "GQRY-A.0-B.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] highest profit": "include returned items", + "[B] during the last quarter of 1994": "ordered during the last quarter of 1994" + } + } +} +*/ +WITH manufacturer_profit AS ( +SELECT p.p_mfgr, +SUM(l.l_extendedprice * (1 - l.l_discount) - ps.ps_supplycost * l.l_quantity) AS profit +FROM lineitem l +JOIN part p ON l.l_partkey = p.p_partkey +JOIN partsupp ps ON l.l_partkey = ps.ps_partkey AND l.l_suppkey = ps.ps_suppkey +JOIN orders o ON l.l_orderkey = o.o_orderkey +WHERE o.o_orderdate >= '1994-10-01' +AND o.o_orderdate < '1995-01-01' +GROUP BY p.p_mfgr +) +SELECT p_mfgr, profit +FROM manufacturer_profit +WHERE profit = (SELECT MAX(profit) FROM manufacturer_profit); +/* EXEC RESULT + p_mfgr profit +Manufacturer#3 1.098056e+09 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.1` ----- +/* +{ + "id": "GQRY-A.0-B.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] highest profit": "include returned items", + "[B] during the last quarter of 1994": "committed during the last quarter of 1994" + } + } +} +*/ +WITH manufacturer_profit AS ( +SELECT p.p_mfgr, +SUM(l.l_extendedprice * (1 - l.l_discount) - ps.ps_supplycost * l.l_quantity) AS profit +FROM lineitem l +JOIN part p ON l.l_partkey = p.p_partkey +JOIN partsupp ps ON l.l_partkey = ps.ps_partkey AND l.l_suppkey = ps.ps_suppkey +WHERE l.l_commitdate >= '1994-10-01' +AND l.l_commitdate < '1995-01-01' +GROUP BY p.p_mfgr +) +SELECT p_mfgr, profit +FROM manufacturer_profit +WHERE profit = (SELECT MAX(profit) FROM manufacturer_profit); +/* EXEC RESULT + p_mfgr profit +Manufacturer#3 1.083648e+09 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.2` ----- +/* +{ + "id": "GQRY-A.0-B.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] highest profit": "include returned items", + "[B] during the last quarter of 1994": "shipped during the last quarter of 1994" + } + } +} +*/ +WITH manufacturer_profit AS ( +SELECT p.p_mfgr, +SUM(l.l_extendedprice * (1 - l.l_discount) - ps.ps_supplycost * l.l_quantity) AS profit +FROM lineitem l +JOIN part p ON l.l_partkey = p.p_partkey +JOIN partsupp ps ON l.l_partkey = ps.ps_partkey AND l.l_suppkey = ps.ps_suppkey +WHERE l.l_shipdate >= '1994-10-01' +AND l.l_shipdate < '1995-01-01' +GROUP BY p.p_mfgr +) +SELECT p_mfgr, profit +FROM manufacturer_profit +WHERE profit = (SELECT MAX(profit) FROM manufacturer_profit); +/* EXEC RESULT + p_mfgr profit +Manufacturer#3 1.086487e+09 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.3` ----- +/* +{ + "id": "GQRY-A.0-B.3", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] highest profit": "include returned items", + "[B] during the last quarter of 1994": "received during the last quarter of 1994" + } + } +} +*/ +WITH manufacturer_profit AS ( +SELECT p.p_mfgr, +SUM(l.l_extendedprice * (1 - l.l_discount) - ps.ps_supplycost * l.l_quantity) AS profit +FROM lineitem l +JOIN part p ON l.l_partkey = p.p_partkey +JOIN partsupp ps ON l.l_partkey = ps.ps_partkey AND l.l_suppkey = ps.ps_suppkey +WHERE l.l_receiptdate >= '1994-10-01' +AND l.l_receiptdate < '1995-01-01' +GROUP BY p.p_mfgr +) +SELECT p_mfgr, profit +FROM manufacturer_profit +WHERE profit = (SELECT MAX(profit) FROM manufacturer_profit); +/* EXEC RESULT + p_mfgr profit +Manufacturer#3 1.087063e+09 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.0` ----- +/* +{ + "id": "GQRY-A.1-B.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] highest profit": "exclude returned items", + "[B] during the last quarter of 1994": "ordered during the last quarter of 1994" + } + } +} +*/ +WITH manufacturer_profit AS ( +SELECT p.p_mfgr, +SUM(l.l_extendedprice * (1 - l.l_discount) - ps.ps_supplycost * l.l_quantity) AS profit +FROM lineitem l +JOIN part p ON l.l_partkey = p.p_partkey +JOIN partsupp ps ON l.l_partkey = ps.ps_partkey AND l.l_suppkey = ps.ps_suppkey +JOIN orders o ON l.l_orderkey = o.o_orderkey +WHERE o.o_orderdate >= '1994-10-01' +AND o.o_orderdate < '1995-01-01' +AND l.l_returnflag <> 'R' +GROUP BY p.p_mfgr +) +SELECT p_mfgr, profit +FROM manufacturer_profit +WHERE profit = (SELECT MAX(profit) FROM manufacturer_profit); +/* EXEC RESULT + p_mfgr profit +Manufacturer#3 5.514698e+08 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.1` ----- +/* +{ + "id": "GQRY-A.1-B.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] highest profit": "exclude returned items", + "[B] during the last quarter of 1994": "committed during the last quarter of 1994" + } + } +} +*/ +WITH manufacturer_profit AS ( +SELECT p.p_mfgr, +SUM(l.l_extendedprice * (1 - l.l_discount) - ps.ps_supplycost * l.l_quantity) AS profit +FROM lineitem l +JOIN part p ON l.l_partkey = p.p_partkey +JOIN partsupp ps ON l.l_partkey = ps.ps_partkey AND l.l_suppkey = ps.ps_suppkey +WHERE l.l_commitdate >= '1994-10-01' +AND l.l_commitdate < '1995-01-01' +AND l.l_returnflag <> 'R' +GROUP BY p.p_mfgr +) +SELECT p_mfgr, profit +FROM manufacturer_profit +WHERE profit = (SELECT MAX(profit) FROM manufacturer_profit); +/* EXEC RESULT + p_mfgr profit +Manufacturer#2 5.434193e+08 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.2` ----- +/* +{ + "id": "GQRY-A.1-B.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] highest profit": "exclude returned items", + "[B] during the last quarter of 1994": "shipped during the last quarter of 1994" + } + } +} +*/ +WITH manufacturer_profit AS ( +SELECT p.p_mfgr, +SUM(l.l_extendedprice * (1 - l.l_discount) - ps.ps_supplycost * l.l_quantity) AS profit +FROM lineitem l +JOIN part p ON l.l_partkey = p.p_partkey +JOIN partsupp ps ON l.l_partkey = ps.ps_partkey AND l.l_suppkey = ps.ps_suppkey +WHERE l.l_shipdate >= '1994-10-01' +AND l.l_shipdate < '1995-01-01' +AND l.l_returnflag <> 'R' +GROUP BY p.p_mfgr +) +SELECT p_mfgr, profit +FROM manufacturer_profit +WHERE profit = (SELECT MAX(profit) FROM manufacturer_profit); +/* EXEC RESULT + p_mfgr profit +Manufacturer#2 5.457964e+08 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.3` ----- +/* +{ + "id": "GQRY-A.1-B.3", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] highest profit": "exclude returned items", + "[B] during the last quarter of 1994": "received during the last quarter of 1994" + } + } +} +*/ +WITH manufacturer_profit AS ( +SELECT p.p_mfgr, +SUM(l.l_extendedprice * (1 - l.l_discount) - ps.ps_supplycost * l.l_quantity) AS profit +FROM lineitem l +JOIN part p ON l.l_partkey = p.p_partkey +JOIN partsupp ps ON l.l_partkey = ps.ps_partkey AND l.l_suppkey = ps.ps_suppkey +WHERE l.l_receiptdate >= '1994-10-01' +AND l.l_receiptdate < '1995-01-01' +AND l.l_returnflag <> 'R' +GROUP BY p.p_mfgr +) +SELECT p_mfgr, profit +FROM manufacturer_profit +WHERE profit = (SELECT MAX(profit) FROM manufacturer_profit); +/* EXEC RESULT + p_mfgr profit +Manufacturer#2 5.470996e+08 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/009/gold_csv/GQRY-A.0.csv b/tasks/readable/009/gold_csv/GQRY-A.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..4e1cc34138f3ee17e745161c903f3b074447ff8f --- /dev/null +++ b/tasks/readable/009/gold_csv/GQRY-A.0.csv @@ -0,0 +1,3 @@ +c_custkey,c_name,rail_orders +63035,Customer#000063035,20 +68513,Customer#000068513,20 diff --git a/tasks/readable/009/gold_csv/GQRY-A.1.csv b/tasks/readable/009/gold_csv/GQRY-A.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..f63daddf80720bb131e28fe1409db39fcd2f71b5 --- /dev/null +++ b/tasks/readable/009/gold_csv/GQRY-A.1.csv @@ -0,0 +1,2 @@ +c_custkey,c_name,rail_ship_count +63035,Customer#000063035,28 diff --git a/tasks/readable/009/gold_csv/GQRY-A.2.csv b/tasks/readable/009/gold_csv/GQRY-A.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..b2909741e86c2c1cc8bba4f1f1308111c7d7dcb5 --- /dev/null +++ b/tasks/readable/009/gold_csv/GQRY-A.2.csv @@ -0,0 +1,2 @@ +c_custkey,c_name,total_rail_quantity +119483,Customer#000119483,798 diff --git a/tasks/readable/009/task_readable.sql b/tasks/readable/009/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..326aa32eedb9dd404d6e6f1a095c8492e5678ca0 --- /dev/null +++ b/tasks/readable/009/task_readable.sql @@ -0,0 +1,147 @@ +/* +{ + "qid": "009", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "retails", + "question": "List the customer who made the highest number of purchases using rail shipping.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "number of purchases using rail shipping", + "type": "finite", + "ambiguity_type": "semantic_computation", + "interpretations": [ + "number of orders containing at least one line item shipped by rail", + "number of line items shipped by rail", + "total quantity shipped by rail" + ], + "intended_interpretation_idx": 1 + } + ], + "gold_intended_query_id": "GQRY-A.1", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0` ----- +/* +{ + "id": "GQRY-A.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] number of purchases using rail shipping": "number of orders containing at least one line item shipped by rail" + } + } +} +*/ +WITH customer_rail_orders AS ( +SELECT c.c_custkey, +c.c_name, +COUNT(DISTINCT o.o_orderkey) AS rail_orders +FROM customer c +JOIN orders o ON c.c_custkey = o.o_custkey +JOIN lineitem l ON o.o_orderkey = l.l_orderkey +WHERE l.l_shipmode = 'RAIL' +GROUP BY c.c_custkey, c.c_name +) +SELECT c.c_custkey, c.c_name, c.rail_orders +FROM customer_rail_orders c +WHERE c.rail_orders = ( +SELECT MAX(rail_orders) FROM customer_rail_orders +); +/* EXEC RESULT + c_custkey c_name rail_orders + 63035 Customer#000063035 20 + 68513 Customer#000068513 20 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1` ----- +/* +{ + "id": "GQRY-A.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] number of purchases using rail shipping": "number of line items shipped by rail" + } + } +} +*/ +WITH customer_rail_lineitems AS ( +SELECT c.c_custkey, +c.c_name, +COUNT(*) AS rail_ship_count +FROM customer c +JOIN orders o ON c.c_custkey = o.o_custkey +JOIN lineitem l ON o.o_orderkey = l.l_orderkey +WHERE l.l_shipmode = 'RAIL' +GROUP BY c.c_custkey, c.c_name +) +SELECT c.c_custkey, c.c_name, c.rail_ship_count +FROM customer_rail_lineitems c +WHERE c.rail_ship_count = ( +SELECT MAX(rail_ship_count) FROM customer_rail_lineitems +); +/* EXEC RESULT + c_custkey c_name rail_ship_count + 63035 Customer#000063035 28 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.2` ----- +/* +{ + "id": "GQRY-A.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] number of purchases using rail shipping": "total quantity shipped by rail" + } + } +} +*/ +WITH customer_rail_quantity AS ( +SELECT c.c_custkey, +c.c_name, +SUM(l.l_quantity) AS total_rail_quantity +FROM customer c +JOIN orders o ON c.c_custkey = o.o_custkey +JOIN lineitem l ON o.o_orderkey = l.l_orderkey +WHERE l.l_shipmode = 'RAIL' +GROUP BY c.c_custkey, c.c_name +) +SELECT c.c_custkey, c.c_name, c.total_rail_quantity +FROM customer_rail_quantity c +WHERE c.total_rail_quantity = ( +SELECT MAX(total_rail_quantity) FROM customer_rail_quantity +); +/* EXEC RESULT + c_custkey c_name total_rail_quantity + 119483 Customer#000119483 798 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/010/gold_csv/GQRY-A.0.csv b/tasks/readable/010/gold_csv/GQRY-A.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..0e6616d6c3a5d685f97d67d5ef1c03d7a7518c9b --- /dev/null +++ b/tasks/readable/010/gold_csv/GQRY-A.0.csv @@ -0,0 +1,2 @@ +r_regionkey,r_name +3,EUROPE diff --git a/tasks/readable/010/gold_csv/GQRY-A.1.csv b/tasks/readable/010/gold_csv/GQRY-A.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..40c712512f93f1b0ea7656b13fc51f67370af423 --- /dev/null +++ b/tasks/readable/010/gold_csv/GQRY-A.1.csv @@ -0,0 +1,5 @@ +r_regionkey,supplier_region +0,AFRICA +2,ASIA +3,EUROPE +4,MIDDLE EAST diff --git a/tasks/readable/010/task_readable.sql b/tasks/readable/010/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..59b2b3bb8d50f2cef7b3f92a5a14b81dc6a60ad0 --- /dev/null +++ b/tasks/readable/010/task_readable.sql @@ -0,0 +1,110 @@ +/* +{ + "qid": "010", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "retails", + "question": "Find the regions associated with the highest-value order in the car industry.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "regions", + "type": "finite", + "ambiguity_type": "semantic_computation", + "interpretations": [ + "customer regions", + "supplier regions" + ], + "intended_interpretation_idx": 0 + } + ], + "gold_intended_query_id": "GQRY-A.0", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0` ----- +/* +{ + "id": "GQRY-A.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] regions": "customer regions" + } + } +} +*/ +WITH automobile_orders AS ( +SELECT o.o_orderkey, o.o_totalprice, c.c_nationkey +FROM orders o +JOIN customer c ON o.o_custkey = c.c_custkey +WHERE c.c_mktsegment = 'AUTOMOBILE' +), +max_order AS ( +SELECT MAX(o_totalprice) as max_price +FROM automobile_orders +) +SELECT DISTINCT r.r_regionkey, r.r_name +FROM automobile_orders ao +JOIN max_order mo ON ao.o_totalprice = mo.max_price +JOIN nation n ON ao.c_nationkey = n.n_nationkey +JOIN region r ON n.n_regionkey = r.r_regionkey; +/* EXEC RESULT + r_regionkey r_name + 3 EUROPE +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1` ----- +/* +{ + "id": "GQRY-A.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] regions": "supplier regions" + } + } +} +*/ +WITH automobile_orders AS ( +SELECT o.o_orderkey, o.o_totalprice +FROM orders o +JOIN customer c ON o.o_custkey = c.c_custkey +WHERE c.c_mktsegment = 'AUTOMOBILE' +), +max_order AS ( +SELECT MAX(o_totalprice) as max_price +FROM automobile_orders +) +SELECT DISTINCT r.r_regionkey, r.r_name as supplier_region +FROM automobile_orders ao +JOIN max_order mo ON ao.o_totalprice = mo.max_price +JOIN lineitem l ON ao.o_orderkey = l.l_orderkey +JOIN supplier s ON l.l_suppkey = s.s_suppkey +JOIN nation n ON s.s_nationkey = n.n_nationkey +JOIN region r ON n.n_regionkey = r.r_regionkey; +/* EXEC RESULT + r_regionkey supplier_region + 0 AFRICA + 2 ASIA + 3 EUROPE + 4 MIDDLE EAST +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/011/gold_csv/GQRY-A.0.csv b/tasks/readable/011/gold_csv/GQRY-A.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..ae72784147b05f22bfbfe05005328c78e022f20f --- /dev/null +++ b/tasks/readable/011/gold_csv/GQRY-A.0.csv @@ -0,0 +1,16 @@ +partkey,part_name,min_unit_price +2,hot spring dodger dim light,42.67 +3,dark slate grey steel misty,561.16 +4,cream turquoise dark thistle light,81.41 +5,drab papaya lemon orange yellow,173.87 +6,puff pink lavender azure violet,57.29 +7,cornsilk lawn forest turquoise royal,33.75 +10,slate black medium azure medium,2.69 +11,mint lime mint chartreuse seashell,164.78 +13,grey violet rose violet peru,311.81 +14,medium metallic grey dodger linen,65.37 +15,honeydew deep rosy sienna sienna,244.43 +17,powder hot metallic cornflower snow,44.61 +18,brown cornsilk green peru almond,127.66 +19,blanched seashell papaya steel spring,66.52 +20,maroon moccasin orchid frosted lavender,105.81 diff --git a/tasks/readable/011/gold_csv/GQRY-A.1.csv b/tasks/readable/011/gold_csv/GQRY-A.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..8c6f03818988f36eb0981397207f0994f3b731f1 --- /dev/null +++ b/tasks/readable/011/gold_csv/GQRY-A.1.csv @@ -0,0 +1,16 @@ +partkey,part_name,max_unit_price +2,hot spring dodger dim light,902.0 +3,dark slate grey steel misty,903.0 +4,cream turquoise dark thistle light,904.0 +5,drab papaya lemon orange yellow,905.0 +6,puff pink lavender azure violet,906.0 +7,cornsilk lawn forest turquoise royal,907.0 +10,slate black medium azure medium,910.01 +11,mint lime mint chartreuse seashell,911.01 +13,grey violet rose violet peru,913.01 +14,medium metallic grey dodger linen,914.01 +15,honeydew deep rosy sienna sienna,915.01 +17,powder hot metallic cornflower snow,917.01 +18,brown cornsilk green peru almond,918.01 +19,blanched seashell papaya steel spring,919.01 +20,maroon moccasin orchid frosted lavender,920.02 diff --git a/tasks/readable/011/gold_csv/GQRY-A.2.csv b/tasks/readable/011/gold_csv/GQRY-A.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..23ace95519412e1d6dce6b030fcea95d1412ad6a --- /dev/null +++ b/tasks/readable/011/gold_csv/GQRY-A.2.csv @@ -0,0 +1,16 @@ +partkey,part_name,min_unit_price +2,hot spring dodger dim light,811.8000000000001 +3,dark slate grey steel misty,812.6999999999999 +4,cream turquoise dark thistle light,813.6 +5,drab papaya lemon orange yellow,823.55 +6,puff pink lavender azure violet,815.4 +7,cornsilk lawn forest turquoise royal,825.37 +10,slate black medium azure medium,828.1090999999999 +11,mint lime mint chartreuse seashell,819.9090000000001 +13,grey violet rose violet peru,830.8391 +14,medium metallic grey dodger linen,822.609 +15,honeydew deep rosy sienna sienna,823.509 +17,powder hot metallic cornflower snow,825.309 +18,brown cornsilk green peru almond,826.209 +19,blanched seashell papaya steel spring,827.1089999999999 +20,maroon moccasin orchid frosted lavender,828.018 diff --git a/tasks/readable/011/task_readable.sql b/tasks/readable/011/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..594ea10719abbac38c3e80507d422aa758bcf40e --- /dev/null +++ b/tasks/readable/011/task_readable.sql @@ -0,0 +1,183 @@ +/* +{ + "qid": "011", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "retails", + "question": "Find the lowest unit price for each part that has suppliers from Arab countries. Only include parts with ID from 1 to 20.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "unit price", + "type": "finite", + "ambiguity_type": "semantic_computation", + "interpretations": [ + "unit supply cost", + "listed retail unit price", + "final transaction unit price" + ], + "intended_interpretation_idx": 2 + } + ], + "gold_intended_query_id": "GQRY-A.2", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0` ----- +/* +{ + "id": "GQRY-A.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] unit price": "unit supply cost" + } + } +} +*/ +WITH parts_with_arab_suppliers AS ( +SELECT DISTINCT p.p_partkey, p.p_name +FROM part p +JOIN partsupp ps ON p.p_partkey = ps.ps_partkey +JOIN supplier s ON s.s_suppkey = ps.ps_suppkey +JOIN nation n ON n.n_nationkey = s.s_nationkey +WHERE n.n_name IN ('ALGERIA','EGYPT','IRAQ','JORDAN','MOROCCO','SAUDI ARABIA') +AND p.p_partkey BETWEEN 1 AND 20 +) +SELECT +pwas.p_partkey AS partkey, +pwas.p_name AS part_name, +MIN(ps.ps_supplycost) AS min_unit_price +FROM parts_with_arab_suppliers pwas +LEFT JOIN partsupp ps ON pwas.p_partkey = ps.ps_partkey +GROUP BY pwas.p_partkey, pwas.p_name +ORDER BY pwas.p_partkey; +/* EXEC RESULT + partkey part_name min_unit_price + 2 hot spring dodger dim light 42.67 + 3 dark slate grey steel misty 561.16 + 4 cream turquoise dark thistle light 81.41 + 5 drab papaya lemon orange yellow 173.87 + 6 puff pink lavender azure violet 57.29 +... TRUNCATED ... + 15 honeydew deep rosy sienna sienna 244.43 + 17 powder hot metallic cornflower snow 44.61 + 18 brown cornsilk green peru almond 127.66 + 19 blanched seashell papaya steel spring 66.52 + 20 maroon moccasin orchid frosted lavender 105.81 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1` ----- +/* +{ + "id": "GQRY-A.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] unit price": "listed retail unit price" + } + } +} +*/ +WITH parts_with_arab_suppliers AS ( +SELECT DISTINCT p.p_partkey, p.p_name, p.p_retailprice +FROM part p +JOIN partsupp ps ON p.p_partkey = ps.ps_partkey +JOIN supplier s ON s.s_suppkey = ps.ps_suppkey +JOIN nation n ON n.n_nationkey = s.s_nationkey +WHERE n.n_name IN ('ALGERIA','EGYPT','IRAQ','JORDAN','MOROCCO','SAUDI ARABIA') +AND p.p_partkey BETWEEN 1 AND 20 +) +SELECT +pwas.p_partkey AS partkey, +pwas.p_name AS part_name, +pwas.p_retailprice AS max_unit_price +FROM parts_with_arab_suppliers pwas +ORDER BY pwas.p_partkey; +/* EXEC RESULT + partkey part_name max_unit_price + 2 hot spring dodger dim light 902.00 + 3 dark slate grey steel misty 903.00 + 4 cream turquoise dark thistle light 904.00 + 5 drab papaya lemon orange yellow 905.00 + 6 puff pink lavender azure violet 906.00 +... TRUNCATED ... + 15 honeydew deep rosy sienna sienna 915.01 + 17 powder hot metallic cornflower snow 917.01 + 18 brown cornsilk green peru almond 918.01 + 19 blanched seashell papaya steel spring 919.01 + 20 maroon moccasin orchid frosted lavender 920.02 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.2` ----- +/* +{ + "id": "GQRY-A.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] unit price": "final transaction unit price" + } + } +} +*/ +WITH parts_with_arab_suppliers AS ( +SELECT DISTINCT p.p_partkey, p.p_name +FROM part p +JOIN partsupp ps ON p.p_partkey = ps.ps_partkey +JOIN supplier s ON s.s_suppkey = ps.ps_suppkey +JOIN nation n ON n.n_nationkey = s.s_nationkey +WHERE n.n_name IN ('ALGERIA','EGYPT','IRAQ','JORDAN','MOROCCO','SAUDI ARABIA') +AND p.p_partkey BETWEEN 1 AND 20 +) +SELECT +pwas.p_partkey AS partkey, +pwas.p_name AS part_name, +MIN((l.l_extendedprice * (1 - l.l_discount)) / l.l_quantity) AS min_unit_price +FROM parts_with_arab_suppliers pwas +LEFT JOIN lineitem l ON pwas.p_partkey = l.l_partkey +GROUP BY pwas.p_partkey, pwas.p_name +ORDER BY pwas.p_partkey; +/* EXEC RESULT + partkey part_name min_unit_price + 2 hot spring dodger dim light 811.800 + 3 dark slate grey steel misty 812.700 + 4 cream turquoise dark thistle light 813.600 + 5 drab papaya lemon orange yellow 823.550 + 6 puff pink lavender azure violet 815.400 +... TRUNCATED ... + 15 honeydew deep rosy sienna sienna 823.509 + 17 powder hot metallic cornflower snow 825.309 + 18 brown cornsilk green peru almond 826.209 + 19 blanched seashell papaya steel spring 827.109 + 20 maroon moccasin orchid frosted lavender 828.018 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/012/gold_csv/GQRY.csv b/tasks/readable/012/gold_csv/GQRY.csv new file mode 100644 index 0000000000000000000000000000000000000000..648926795e4516c0906f2e26f035ffbe5bc6b745 --- /dev/null +++ b/tasks/readable/012/gold_csv/GQRY.csv @@ -0,0 +1,1371 @@ +s_suppkey,s_name,s_acctbal +3,Supplier#000000003,9159.78 +4,Supplier#000000004,9846.01 +17,Supplier#000000017,8809.66 +18,Supplier#000000018,8914.76 +21,Supplier#000000021,9415.02 +24,Supplier#000000024,9954.37 +48,Supplier#000000048,8746.33 +57,Supplier#000000057,9200.46 +58,Supplier#000000058,8770.94 +66,Supplier#000000066,8780.46 +72,Supplier#000000072,8759.08 +83,Supplier#000000083,9652.33 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+9971,Supplier#000009971,8754.4 +9987,Supplier#000009987,9079.12 +9990,Supplier#000009990,9434.07 +9991,Supplier#000009991,9965.05 diff --git a/tasks/readable/012/task_readable.sql b/tasks/readable/012/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..7094b32be189cde3547a3e46aa9750a437beb1a8 --- /dev/null +++ b/tasks/readable/012/task_readable.sql @@ -0,0 +1,75 @@ +/* +{ + "qid": "012", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "retails", + "question": "List all suppliers with a high balance.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "high balance", + "type": "infinite", + "ambiguity_type": "semantic_value", + "parameter_name": "balance_threshold", + "parameter_dtype": "int", + "parameter_sample_operators": [ + ">", + ">=" + ], + "parameter_sample_values": [ + 8500, + 9000, + 9500 + ], + "intended_parameter_operator": ">=", + "intended_parameter_value": 8500 + } + ], + "gold_intended_query_id": "GQRY", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY` ----- +/* +{ + "id": "GQRY", + "parameter_names": [ + "balance_threshold" + ], + "parameter_values": { + "balance_threshold": 8500 + }, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] high balance": ":balance_threshold" + } + } +} +*/ +SELECT s_suppkey, s_name, s_acctbal +FROM supplier +WHERE s_acctbal >= :balance_threshold; +/* EXEC RESULT + s_suppkey s_name s_acctbal + 3 Supplier#000000003 9159.78 + 4 Supplier#000000004 9846.01 + 17 Supplier#000000017 8809.66 + 18 Supplier#000000018 8914.76 + 21 Supplier#000000021 9415.02 +... TRUNCATED ... + 9957 Supplier#000009957 9180.69 + 9971 Supplier#000009971 8754.40 + 9987 Supplier#000009987 9079.12 + 9990 Supplier#000009990 9434.07 + 9991 Supplier#000009991 9965.05 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/013/gold_csv/GQRY-A.0.csv b/tasks/readable/013/gold_csv/GQRY-A.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..06a981c6187606e825a01b5260e43356eb335b50 --- /dev/null +++ b/tasks/readable/013/gold_csv/GQRY-A.0.csv @@ -0,0 +1,2 @@ +total_quantity,total_charge +22960669,33681819315.54831 diff --git a/tasks/readable/013/gold_csv/GQRY-A.1.csv b/tasks/readable/013/gold_csv/GQRY-A.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..32d84a6d292eb831659080feca27e6740296efb7 --- /dev/null +++ b/tasks/readable/013/gold_csv/GQRY-A.1.csv @@ -0,0 +1,2 @@ +total_quantity,total_charge +9357125,13533437426.537275 diff --git a/tasks/readable/013/task_readable.sql b/tasks/readable/013/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..3680b8b969e2e1c8b721b64832dc091f6548e272 --- /dev/null +++ b/tasks/readable/013/task_readable.sql @@ -0,0 +1,85 @@ +/* +{ + "qid": "013", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "retails", + "question": "Show the total quantity and total final charge of all items shipped by mail or with discount greater than 5% and returned.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "items shipped by mail or with discount greater than 5% and returned", + "type": "finite", + "ambiguity_type": "syntactic_computation", + "interpretations": [ + "items (shipped by mail) OR (with discount greater than 5% AND returned).", + "items (shipped by mail OR with discount greater than 5%) AND returned." + ], + "intended_interpretation_idx": 1 + } + ], + "gold_intended_query_id": "GQRY-A.1", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0` ----- +/* +{ + "id": "GQRY-A.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] items shipped by mail or with discount greater than 5% and returned": "items (shipped by mail) OR (with discount greater than 5% AND returned)." + } + } +} +*/ +SELECT +SUM(l_quantity) AS total_quantity, +SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS total_charge +FROM +lineitem +WHERE +l_shipmode = 'MAIL' +OR (l_discount > 0.05 AND l_returnflag = 'R'); +/* EXEC RESULT + total_quantity total_charge + 22960669 3.368182e+10 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1` ----- +/* +{ + "id": "GQRY-A.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] items shipped by mail or with discount greater than 5% and returned": "items (shipped by mail OR with discount greater than 5%) AND returned." + } + } +} +*/ +SELECT +SUM(l_quantity) AS total_quantity, +SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS total_charge +FROM lineitem +WHERE l_returnflag = 'R' +AND (l_shipmode = 'MAIL' OR l_discount > 0.05); +/* EXEC RESULT + total_quantity total_charge + 9357125 1.353344e+10 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/014/gold_csv/GQRY-A.0.csv b/tasks/readable/014/gold_csv/GQRY-A.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..863e9886f3bbd6479c8143f80c82dd0c5fe3f4f2 --- /dev/null +++ b/tasks/readable/014/gold_csv/GQRY-A.0.csv @@ -0,0 +1,10001 @@ +region_key,region_name,s_suppkey,s_name,total_quantity +0,AFRICA,2,Supplier#000000002,80 +0,AFRICA,7,Supplier#000000007,80 +0,AFRICA,8,Supplier#000000008,80 +0,AFRICA,21,Supplier#000000021,80 +0,AFRICA,22,Supplier#000000022,80 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EAST,1330,Supplier#000001330,80 +4,MIDDLE EAST,1331,Supplier#000001331,80 +4,MIDDLE EAST,1343,Supplier#000001343,80 +4,MIDDLE EAST,1344,Supplier#000001344,80 +4,MIDDLE EAST,1353,Supplier#000001353,80 +4,MIDDLE EAST,1361,Supplier#000001361,80 +4,MIDDLE EAST,1380,Supplier#000001380,80 +4,MIDDLE EAST,1384,Supplier#000001384,80 +4,MIDDLE EAST,1399,Supplier#000001399,80 +4,MIDDLE EAST,1409,Supplier#000001409,80 +4,MIDDLE EAST,1414,Supplier#000001414,80 +4,MIDDLE EAST,1419,Supplier#000001419,80 +4,MIDDLE EAST,1420,Supplier#000001420,80 +4,MIDDLE EAST,1421,Supplier#000001421,80 +4,MIDDLE EAST,1422,Supplier#000001422,80 +4,MIDDLE EAST,1423,Supplier#000001423,80 +4,MIDDLE EAST,1424,Supplier#000001424,80 +4,MIDDLE EAST,1428,Supplier#000001428,80 +4,MIDDLE EAST,1444,Supplier#000001444,80 +4,MIDDLE EAST,1457,Supplier#000001457,80 +4,MIDDLE EAST,1458,Supplier#000001458,80 +4,MIDDLE EAST,1460,Supplier#000001460,80 +4,MIDDLE EAST,1470,Supplier#000001470,80 +4,MIDDLE EAST,1472,Supplier#000001472,80 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EAST,1676,Supplier#000001676,80 +4,MIDDLE EAST,1678,Supplier#000001678,80 +4,MIDDLE EAST,1682,Supplier#000001682,80 +4,MIDDLE EAST,1683,Supplier#000001683,80 +4,MIDDLE EAST,1690,Supplier#000001690,80 +4,MIDDLE EAST,1692,Supplier#000001692,80 +4,MIDDLE EAST,1694,Supplier#000001694,80 +4,MIDDLE EAST,1695,Supplier#000001695,80 +4,MIDDLE EAST,1696,Supplier#000001696,80 +4,MIDDLE EAST,1699,Supplier#000001699,80 +4,MIDDLE EAST,1701,Supplier#000001701,80 +4,MIDDLE EAST,1705,Supplier#000001705,80 +4,MIDDLE EAST,1722,Supplier#000001722,80 +4,MIDDLE EAST,1730,Supplier#000001730,80 +4,MIDDLE EAST,1739,Supplier#000001739,80 +4,MIDDLE EAST,1741,Supplier#000001741,80 +4,MIDDLE EAST,1757,Supplier#000001757,80 +4,MIDDLE EAST,1759,Supplier#000001759,80 +4,MIDDLE EAST,1761,Supplier#000001761,80 +4,MIDDLE EAST,1769,Supplier#000001769,80 +4,MIDDLE EAST,1782,Supplier#000001782,80 +4,MIDDLE EAST,1791,Supplier#000001791,80 +4,MIDDLE EAST,1799,Supplier#000001799,80 +4,MIDDLE EAST,1801,Supplier#000001801,80 +4,MIDDLE EAST,1806,Supplier#000001806,80 +4,MIDDLE EAST,1816,Supplier#000001816,80 +4,MIDDLE EAST,1820,Supplier#000001820,80 +4,MIDDLE EAST,1828,Supplier#000001828,80 +4,MIDDLE EAST,1831,Supplier#000001831,80 +4,MIDDLE EAST,1835,Supplier#000001835,80 +4,MIDDLE EAST,1836,Supplier#000001836,80 +4,MIDDLE EAST,1850,Supplier#000001850,80 +4,MIDDLE EAST,1859,Supplier#000001859,80 +4,MIDDLE EAST,1864,Supplier#000001864,80 +4,MIDDLE EAST,1865,Supplier#000001865,80 +4,MIDDLE EAST,1883,Supplier#000001883,80 +4,MIDDLE EAST,1884,Supplier#000001884,80 +4,MIDDLE EAST,1887,Supplier#000001887,80 +4,MIDDLE EAST,1890,Supplier#000001890,80 +4,MIDDLE EAST,1900,Supplier#000001900,80 +4,MIDDLE EAST,1917,Supplier#000001917,80 +4,MIDDLE EAST,1918,Supplier#000001918,80 +4,MIDDLE EAST,1929,Supplier#000001929,80 +4,MIDDLE EAST,1933,Supplier#000001933,80 +4,MIDDLE EAST,1934,Supplier#000001934,80 +4,MIDDLE EAST,1937,Supplier#000001937,80 +4,MIDDLE EAST,1944,Supplier#000001944,80 +4,MIDDLE EAST,1946,Supplier#000001946,80 +4,MIDDLE EAST,1947,Supplier#000001947,80 +4,MIDDLE EAST,1948,Supplier#000001948,80 +4,MIDDLE EAST,1949,Supplier#000001949,80 +4,MIDDLE EAST,1963,Supplier#000001963,80 +4,MIDDLE EAST,1970,Supplier#000001970,80 +4,MIDDLE EAST,1972,Supplier#000001972,80 +4,MIDDLE EAST,1974,Supplier#000001974,80 +4,MIDDLE EAST,1976,Supplier#000001976,80 +4,MIDDLE EAST,2004,Supplier#000002004,80 +4,MIDDLE EAST,2012,Supplier#000002012,80 +4,MIDDLE EAST,2034,Supplier#000002034,80 +4,MIDDLE EAST,2038,Supplier#000002038,80 +4,MIDDLE EAST,2045,Supplier#000002045,80 +4,MIDDLE EAST,2057,Supplier#000002057,80 +4,MIDDLE EAST,2060,Supplier#000002060,80 +4,MIDDLE EAST,2069,Supplier#000002069,80 +4,MIDDLE EAST,2070,Supplier#000002070,80 +4,MIDDLE EAST,2077,Supplier#000002077,80 +4,MIDDLE EAST,2082,Supplier#000002082,80 +4,MIDDLE EAST,2083,Supplier#000002083,80 +4,MIDDLE EAST,2100,Supplier#000002100,80 +4,MIDDLE EAST,2105,Supplier#000002105,80 +4,MIDDLE EAST,2139,Supplier#000002139,80 +4,MIDDLE EAST,2141,Supplier#000002141,80 +4,MIDDLE EAST,2144,Supplier#000002144,80 +4,MIDDLE EAST,2148,Supplier#000002148,80 +4,MIDDLE EAST,2151,Supplier#000002151,80 +4,MIDDLE EAST,2171,Supplier#000002171,80 +4,MIDDLE EAST,2187,Supplier#000002187,80 +4,MIDDLE EAST,2191,Supplier#000002191,80 +4,MIDDLE EAST,2193,Supplier#000002193,80 +4,MIDDLE EAST,2194,Supplier#000002194,80 +4,MIDDLE EAST,2199,Supplier#000002199,80 +4,MIDDLE EAST,2204,Supplier#000002204,80 +4,MIDDLE EAST,2207,Supplier#000002207,80 +4,MIDDLE EAST,2213,Supplier#000002213,80 +4,MIDDLE EAST,2218,Supplier#000002218,80 +4,MIDDLE EAST,2260,Supplier#000002260,80 +4,MIDDLE EAST,2281,Supplier#000002281,80 +4,MIDDLE EAST,2286,Supplier#000002286,80 +4,MIDDLE EAST,2304,Supplier#000002304,80 +4,MIDDLE EAST,2321,Supplier#000002321,80 +4,MIDDLE EAST,2323,Supplier#000002323,80 +4,MIDDLE EAST,2325,Supplier#000002325,80 +4,MIDDLE EAST,2329,Supplier#000002329,80 +4,MIDDLE EAST,2333,Supplier#000002333,80 +4,MIDDLE EAST,2336,Supplier#000002336,80 +4,MIDDLE EAST,2342,Supplier#000002342,80 +4,MIDDLE EAST,2343,Supplier#000002343,80 +4,MIDDLE EAST,2349,Supplier#000002349,80 +4,MIDDLE EAST,2361,Supplier#000002361,80 +4,MIDDLE EAST,2362,Supplier#000002362,80 +4,MIDDLE EAST,2373,Supplier#000002373,80 +4,MIDDLE EAST,2387,Supplier#000002387,80 +4,MIDDLE EAST,2389,Supplier#000002389,80 +4,MIDDLE EAST,2394,Supplier#000002394,80 +4,MIDDLE EAST,2396,Supplier#000002396,80 +4,MIDDLE EAST,2406,Supplier#000002406,80 +4,MIDDLE EAST,2407,Supplier#000002407,80 +4,MIDDLE EAST,2412,Supplier#000002412,80 +4,MIDDLE EAST,2416,Supplier#000002416,80 +4,MIDDLE EAST,2421,Supplier#000002421,80 +4,MIDDLE EAST,2425,Supplier#000002425,80 +4,MIDDLE EAST,2430,Supplier#000002430,80 +4,MIDDLE EAST,2435,Supplier#000002435,80 +4,MIDDLE EAST,2442,Supplier#000002442,80 +4,MIDDLE EAST,2462,Supplier#000002462,80 +4,MIDDLE EAST,2464,Supplier#000002464,80 +4,MIDDLE EAST,2465,Supplier#000002465,80 +4,MIDDLE EAST,2472,Supplier#000002472,80 +4,MIDDLE EAST,2485,Supplier#000002485,80 +4,MIDDLE EAST,2500,Supplier#000002500,80 +4,MIDDLE EAST,2501,Supplier#000002501,80 +4,MIDDLE EAST,2504,Supplier#000002504,80 +4,MIDDLE EAST,2511,Supplier#000002511,80 +4,MIDDLE EAST,2518,Supplier#000002518,80 +4,MIDDLE EAST,2519,Supplier#000002519,80 +4,MIDDLE EAST,2521,Supplier#000002521,80 +4,MIDDLE EAST,2549,Supplier#000002549,80 +4,MIDDLE EAST,2550,Supplier#000002550,80 +4,MIDDLE EAST,2557,Supplier#000002557,80 +4,MIDDLE EAST,2558,Supplier#000002558,80 +4,MIDDLE EAST,2561,Supplier#000002561,80 +4,MIDDLE EAST,2566,Supplier#000002566,80 +4,MIDDLE EAST,2571,Supplier#000002571,80 +4,MIDDLE EAST,2573,Supplier#000002573,80 +4,MIDDLE EAST,2582,Supplier#000002582,80 +4,MIDDLE EAST,2583,Supplier#000002583,80 +4,MIDDLE EAST,2584,Supplier#000002584,80 +4,MIDDLE EAST,2595,Supplier#000002595,80 +4,MIDDLE EAST,2602,Supplier#000002602,80 +4,MIDDLE EAST,2618,Supplier#000002618,80 +4,MIDDLE EAST,2622,Supplier#000002622,80 +4,MIDDLE EAST,2623,Supplier#000002623,80 +4,MIDDLE EAST,2627,Supplier#000002627,80 +4,MIDDLE EAST,2629,Supplier#000002629,80 +4,MIDDLE EAST,2636,Supplier#000002636,80 +4,MIDDLE EAST,2637,Supplier#000002637,80 +4,MIDDLE EAST,2655,Supplier#000002655,80 +4,MIDDLE EAST,2658,Supplier#000002658,80 +4,MIDDLE EAST,2659,Supplier#000002659,80 +4,MIDDLE EAST,2663,Supplier#000002663,80 +4,MIDDLE EAST,2669,Supplier#000002669,80 +4,MIDDLE EAST,2670,Supplier#000002670,80 +4,MIDDLE EAST,2673,Supplier#000002673,80 +4,MIDDLE EAST,2680,Supplier#000002680,80 +4,MIDDLE EAST,2700,Supplier#000002700,80 +4,MIDDLE EAST,2704,Supplier#000002704,80 +4,MIDDLE EAST,2707,Supplier#000002707,80 +4,MIDDLE EAST,2715,Supplier#000002715,80 +4,MIDDLE EAST,2722,Supplier#000002722,80 +4,MIDDLE EAST,2723,Supplier#000002723,80 +4,MIDDLE EAST,2725,Supplier#000002725,80 +4,MIDDLE EAST,2733,Supplier#000002733,80 +4,MIDDLE EAST,2740,Supplier#000002740,80 +4,MIDDLE EAST,2744,Supplier#000002744,80 +4,MIDDLE EAST,2750,Supplier#000002750,80 +4,MIDDLE EAST,2759,Supplier#000002759,80 +4,MIDDLE EAST,2761,Supplier#000002761,80 +4,MIDDLE EAST,2765,Supplier#000002765,80 +4,MIDDLE EAST,2769,Supplier#000002769,80 +4,MIDDLE EAST,2784,Supplier#000002784,80 +4,MIDDLE EAST,2787,Supplier#000002787,80 +4,MIDDLE EAST,2796,Supplier#000002796,80 +4,MIDDLE EAST,2820,Supplier#000002820,80 +4,MIDDLE EAST,2822,Supplier#000002822,80 +4,MIDDLE EAST,2827,Supplier#000002827,80 +4,MIDDLE EAST,2872,Supplier#000002872,80 +4,MIDDLE EAST,2874,Supplier#000002874,80 +4,MIDDLE EAST,2877,Supplier#000002877,80 +4,MIDDLE EAST,2883,Supplier#000002883,80 +4,MIDDLE EAST,2906,Supplier#000002906,80 +4,MIDDLE EAST,2908,Supplier#000002908,80 +4,MIDDLE EAST,2918,Supplier#000002918,80 +4,MIDDLE EAST,2929,Supplier#000002929,80 +4,MIDDLE EAST,2941,Supplier#000002941,80 +4,MIDDLE EAST,2956,Supplier#000002956,80 +4,MIDDLE EAST,2965,Supplier#000002965,80 +4,MIDDLE EAST,2975,Supplier#000002975,80 +4,MIDDLE EAST,2976,Supplier#000002976,80 +4,MIDDLE EAST,2985,Supplier#000002985,80 +4,MIDDLE EAST,2990,Supplier#000002990,80 +4,MIDDLE EAST,2992,Supplier#000002992,80 +4,MIDDLE EAST,2993,Supplier#000002993,80 +4,MIDDLE EAST,2995,Supplier#000002995,80 +4,MIDDLE EAST,2996,Supplier#000002996,80 +4,MIDDLE EAST,3003,Supplier#000003003,80 +4,MIDDLE EAST,3005,Supplier#000003005,80 +4,MIDDLE EAST,3011,Supplier#000003011,80 +4,MIDDLE EAST,3032,Supplier#000003032,80 +4,MIDDLE EAST,3033,Supplier#000003033,80 +4,MIDDLE EAST,3038,Supplier#000003038,80 +4,MIDDLE EAST,3058,Supplier#000003058,80 +4,MIDDLE EAST,3074,Supplier#000003074,80 +4,MIDDLE EAST,3078,Supplier#000003078,80 +4,MIDDLE EAST,3079,Supplier#000003079,80 +4,MIDDLE EAST,3087,Supplier#000003087,80 +4,MIDDLE EAST,3093,Supplier#000003093,80 +4,MIDDLE EAST,3102,Supplier#000003102,80 +4,MIDDLE EAST,3104,Supplier#000003104,80 +4,MIDDLE EAST,3109,Supplier#000003109,80 +4,MIDDLE EAST,3112,Supplier#000003112,80 +4,MIDDLE EAST,3114,Supplier#000003114,80 +4,MIDDLE EAST,3117,Supplier#000003117,80 +4,MIDDLE EAST,3131,Supplier#000003131,80 +4,MIDDLE EAST,3133,Supplier#000003133,80 +4,MIDDLE EAST,3139,Supplier#000003139,80 +4,MIDDLE EAST,3150,Supplier#000003150,80 +4,MIDDLE EAST,3152,Supplier#000003152,80 +4,MIDDLE EAST,3162,Supplier#000003162,80 +4,MIDDLE EAST,3168,Supplier#000003168,80 +4,MIDDLE EAST,3171,Supplier#000003171,80 +4,MIDDLE EAST,3172,Supplier#000003172,80 +4,MIDDLE EAST,3186,Supplier#000003186,80 +4,MIDDLE EAST,3187,Supplier#000003187,80 +4,MIDDLE EAST,3190,Supplier#000003190,80 +4,MIDDLE EAST,3196,Supplier#000003196,80 +4,MIDDLE EAST,3199,Supplier#000003199,80 +4,MIDDLE EAST,3204,Supplier#000003204,80 +4,MIDDLE EAST,3208,Supplier#000003208,80 +4,MIDDLE EAST,3215,Supplier#000003215,80 +4,MIDDLE EAST,3218,Supplier#000003218,80 +4,MIDDLE EAST,3222,Supplier#000003222,80 +4,MIDDLE EAST,3227,Supplier#000003227,80 +4,MIDDLE EAST,3232,Supplier#000003232,80 +4,MIDDLE EAST,3233,Supplier#000003233,80 +4,MIDDLE EAST,3239,Supplier#000003239,80 +4,MIDDLE EAST,3247,Supplier#000003247,80 +4,MIDDLE EAST,3252,Supplier#000003252,80 +4,MIDDLE EAST,3253,Supplier#000003253,80 +4,MIDDLE EAST,3257,Supplier#000003257,80 +4,MIDDLE EAST,3271,Supplier#000003271,80 +4,MIDDLE EAST,3272,Supplier#000003272,80 +4,MIDDLE EAST,3279,Supplier#000003279,80 +4,MIDDLE EAST,3280,Supplier#000003280,80 +4,MIDDLE EAST,3294,Supplier#000003294,80 +4,MIDDLE EAST,3295,Supplier#000003295,80 +4,MIDDLE EAST,3300,Supplier#000003300,80 +4,MIDDLE EAST,3303,Supplier#000003303,80 +4,MIDDLE EAST,3309,Supplier#000003309,80 +4,MIDDLE EAST,3310,Supplier#000003310,80 +4,MIDDLE EAST,3311,Supplier#000003311,80 +4,MIDDLE EAST,3321,Supplier#000003321,80 +4,MIDDLE EAST,3325,Supplier#000003325,80 +4,MIDDLE EAST,3326,Supplier#000003326,80 +4,MIDDLE EAST,3329,Supplier#000003329,80 +4,MIDDLE EAST,3339,Supplier#000003339,80 +4,MIDDLE EAST,3340,Supplier#000003340,80 +4,MIDDLE EAST,3349,Supplier#000003349,80 +4,MIDDLE EAST,3362,Supplier#000003362,80 +4,MIDDLE EAST,3370,Supplier#000003370,80 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EAST,9748,Supplier#000009748,80 +4,MIDDLE EAST,9751,Supplier#000009751,80 +4,MIDDLE EAST,9756,Supplier#000009756,80 +4,MIDDLE EAST,9762,Supplier#000009762,80 +4,MIDDLE EAST,9763,Supplier#000009763,80 +4,MIDDLE EAST,9764,Supplier#000009764,80 +4,MIDDLE EAST,9769,Supplier#000009769,80 +4,MIDDLE EAST,9772,Supplier#000009772,80 +4,MIDDLE EAST,9783,Supplier#000009783,80 +4,MIDDLE EAST,9798,Supplier#000009798,80 +4,MIDDLE EAST,9799,Supplier#000009799,80 +4,MIDDLE EAST,9801,Supplier#000009801,80 +4,MIDDLE EAST,9803,Supplier#000009803,80 +4,MIDDLE EAST,9804,Supplier#000009804,80 +4,MIDDLE EAST,9808,Supplier#000009808,80 +4,MIDDLE EAST,9826,Supplier#000009826,80 +4,MIDDLE EAST,9832,Supplier#000009832,80 +4,MIDDLE EAST,9837,Supplier#000009837,80 +4,MIDDLE EAST,9853,Supplier#000009853,80 +4,MIDDLE EAST,9857,Supplier#000009857,80 +4,MIDDLE EAST,9859,Supplier#000009859,80 +4,MIDDLE EAST,9863,Supplier#000009863,80 +4,MIDDLE EAST,9866,Supplier#000009866,80 +4,MIDDLE EAST,9869,Supplier#000009869,80 +4,MIDDLE EAST,9871,Supplier#000009871,80 +4,MIDDLE EAST,9883,Supplier#000009883,80 +4,MIDDLE EAST,9885,Supplier#000009885,80 +4,MIDDLE EAST,9887,Supplier#000009887,80 +4,MIDDLE EAST,9893,Supplier#000009893,80 +4,MIDDLE EAST,9897,Supplier#000009897,80 +4,MIDDLE EAST,9902,Supplier#000009902,80 +4,MIDDLE EAST,9905,Supplier#000009905,80 +4,MIDDLE EAST,9908,Supplier#000009908,80 +4,MIDDLE EAST,9913,Supplier#000009913,80 +4,MIDDLE EAST,9916,Supplier#000009916,80 +4,MIDDLE EAST,9919,Supplier#000009919,80 +4,MIDDLE EAST,9926,Supplier#000009926,80 +4,MIDDLE EAST,9935,Supplier#000009935,80 +4,MIDDLE EAST,9941,Supplier#000009941,80 +4,MIDDLE EAST,9954,Supplier#000009954,80 +4,MIDDLE EAST,9965,Supplier#000009965,80 +4,MIDDLE EAST,9966,Supplier#000009966,80 +4,MIDDLE EAST,9967,Supplier#000009967,80 +4,MIDDLE EAST,9969,Supplier#000009969,80 +4,MIDDLE EAST,9985,Supplier#000009985,80 +4,MIDDLE EAST,9989,Supplier#000009989,80 +4,MIDDLE EAST,9991,Supplier#000009991,80 +4,MIDDLE EAST,9992,Supplier#000009992,80 +4,MIDDLE EAST,9994,Supplier#000009994,80 +4,MIDDLE EAST,9996,Supplier#000009996,80 diff --git a/tasks/readable/014/gold_csv/GQRY-A.1.csv b/tasks/readable/014/gold_csv/GQRY-A.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..2bfbe3d8c7aaf06a14b35e3ba7a02d1cd8198986 --- /dev/null +++ b/tasks/readable/014/gold_csv/GQRY-A.1.csv @@ -0,0 +1,6 @@ +region_key,region_name,s_suppkey,s_name,total_quantity +0,AFRICA,4296,Supplier#000004296,482324 +1,AMERICA,7546,Supplier#000007546,501179 +2,ASIA,6337,Supplier#000006337,490915 +3,EUROPE,1270,Supplier#000001270,521832 +4,MIDDLE EAST,9411,Supplier#000009411,484402 diff --git a/tasks/readable/014/task_readable.sql b/tasks/readable/014/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..4f52f2590040e85d550a114e818633313b841559 --- /dev/null +++ b/tasks/readable/014/task_readable.sql @@ -0,0 +1,123 @@ +/* +{ + "qid": "014", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "retails", + "question": "Show the supplier that supplies the most parts in their inventory in each region.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "supplies the most parts", + "type": "finite", + "ambiguity_type": "semantic_computation", + "interpretations": [ + "supplies the largest number of distinct parts", + "supplies the largest total inventory quantity" + ], + "intended_interpretation_idx": 0 + } + ], + "gold_intended_query_id": "GQRY-A.0", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0` ----- +/* +{ + "id": "GQRY-A.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 3 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] supplies the most parts": "supplies the largest number of distinct parts" + } + } +} +*/ +WITH supplier_part_count AS ( +SELECT r.r_regionkey AS region_key, +r.r_name AS region_name, +s.s_suppkey, +s.s_name, +COUNT(DISTINCT ps.ps_partkey) AS total_quantity, +RANK() OVER (PARTITION BY r.r_regionkey ORDER BY COUNT(DISTINCT ps.ps_partkey) DESC) AS rn +FROM supplier s +JOIN nation n ON s.s_nationkey = n.n_nationkey +JOIN region r ON n.n_regionkey = r.r_regionkey +JOIN partsupp ps ON s.s_suppkey = ps.ps_suppkey +GROUP BY r.r_regionkey, r.r_name, s.s_suppkey, s.s_name +) +SELECT region_key, region_name, s_suppkey, s_name, total_quantity +FROM supplier_part_count +WHERE rn = 1; +/* EXEC RESULT + region_key region_name s_suppkey s_name total_quantity + 0 AFRICA 2 Supplier#000000002 80 + 0 AFRICA 7 Supplier#000000007 80 + 0 AFRICA 8 Supplier#000000008 80 + 0 AFRICA 21 Supplier#000000021 80 + 0 AFRICA 22 Supplier#000000022 80 +... TRUNCATED ... + 4 MIDDLE EAST 9989 Supplier#000009989 80 + 4 MIDDLE EAST 9991 Supplier#000009991 80 + 4 MIDDLE EAST 9992 Supplier#000009992 80 + 4 MIDDLE EAST 9994 Supplier#000009994 80 + 4 MIDDLE EAST 9996 Supplier#000009996 80 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1` ----- +/* +{ + "id": "GQRY-A.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 3 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] supplies the most parts": "supplies the largest total inventory quantity" + } + } +} +*/ +WITH supplier_part_count AS ( +SELECT r.r_regionkey AS region_key, +r.r_name AS region_name, +s.s_suppkey, +s.s_name, +SUM(ps.ps_availqty) AS total_quantity, +RANK() OVER (PARTITION BY r.r_regionkey ORDER BY SUM(ps.ps_availqty) DESC) AS rn +FROM supplier s +JOIN nation n ON s.s_nationkey = n.n_nationkey +JOIN region r ON n.n_regionkey = r.r_regionkey +JOIN partsupp ps ON s.s_suppkey = ps.ps_suppkey +GROUP BY r.r_regionkey, r.r_name, s.s_suppkey, s.s_name +) +SELECT region_key, region_name, s_suppkey, s_name, total_quantity +FROM supplier_part_count +WHERE rn = 1; +/* EXEC RESULT + region_key region_name s_suppkey s_name total_quantity + 0 AFRICA 4296 Supplier#000004296 482324 + 1 AMERICA 7546 Supplier#000007546 501179 + 2 ASIA 6337 Supplier#000006337 490915 + 3 EUROPE 1270 Supplier#000001270 521832 + 4 MIDDLE EAST 9411 Supplier#000009411 484402 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/015/gold_csv/GQRY-A.0.csv b/tasks/readable/015/gold_csv/GQRY-A.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..94977c6ed948956fe201ea15902672af60537cb6 --- /dev/null +++ b/tasks/readable/015/gold_csv/GQRY-A.0.csv @@ -0,0 +1,6 @@ +industry,customer_count +AUTOMOBILE,0 +BUILDING,0 +FURNITURE,0 +HOUSEHOLD,0 +MACHINERY,0 diff --git a/tasks/readable/015/gold_csv/GQRY-A.1.csv b/tasks/readable/015/gold_csv/GQRY-A.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..8705419a676b92a7768644068081756bc2df1cdc --- /dev/null +++ b/tasks/readable/015/gold_csv/GQRY-A.1.csv @@ -0,0 +1,6 @@ +industry,customer_count +AUTOMOBILE,1 +BUILDING,0 +FURNITURE,0 +HOUSEHOLD,1 +MACHINERY,2 diff --git a/tasks/readable/015/task_readable.sql b/tasks/readable/015/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..b445a2e22c31124cf177d21b38902abe122618ec --- /dev/null +++ b/tasks/readable/015/task_readable.sql @@ -0,0 +1,125 @@ +/* +{ + "qid": "015", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "retails", + "question": "For each industry, show the number of customers that bought part 309 from China.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "customers that bought part 309 from China", + "type": "finite", + "ambiguity_type": "syntactic_computation", + "interpretations": [ + "customers that bought part 309 from suppliers in China", + "customers in China that bought part 309" + ], + "intended_interpretation_idx": 0 + } + ], + "gold_intended_query_id": "GQRY-A.0", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0` ----- +/* +{ + "id": "GQRY-A.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] customers that bought part 309 from China": "customers that bought part 309 from suppliers in China" + } + } +} +*/ +WITH industries AS ( +SELECT DISTINCT c.c_mktsegment AS industry FROM customer c +), +china_customers AS ( +SELECT +c.c_mktsegment AS industry, +COUNT(DISTINCT c.c_custkey) AS customer_count +FROM customer c +JOIN orders o ON c.c_custkey = o.o_custkey +JOIN lineitem l ON o.o_orderkey = l.l_orderkey +JOIN partsupp ps ON l.l_partkey = ps.ps_partkey AND l.l_suppkey = ps.ps_suppkey +JOIN supplier s ON ps.ps_suppkey = s.s_suppkey +JOIN nation n ON s.s_nationkey = n.n_nationkey +WHERE l.l_partkey = 309 +AND n.n_name = 'CHINA' +GROUP BY c.c_mktsegment +ORDER BY c.c_mktsegment +) +SELECT +i.industry, +COALESCE(cc.customer_count, 0) AS customer_count +FROM industries i +LEFT JOIN china_customers cc ON i.industry = cc.industry +ORDER BY i.industry; +/* EXEC RESULT + industry customer_count +AUTOMOBILE 0 + BUILDING 0 + FURNITURE 0 + HOUSEHOLD 0 + MACHINERY 0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1` ----- +/* +{ + "id": "GQRY-A.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] customers that bought part 309 from China": "customers in China that bought part 309" + } + } +} +*/ +WITH industries AS ( +SELECT DISTINCT c.c_mktsegment AS industry FROM customer c +), +china_customers AS ( +SELECT +c.c_mktsegment AS industry, +COUNT(DISTINCT c.c_custkey) AS customer_count +FROM customer c +JOIN nation n ON c.c_nationkey = n.n_nationkey +JOIN orders o ON c.c_custkey = o.o_custkey +JOIN lineitem l ON o.o_orderkey = l.l_orderkey +WHERE l.l_partkey = 309 +AND n.n_name = 'CHINA' +GROUP BY c.c_mktsegment +ORDER BY c.c_mktsegment +) +SELECT +i.industry, +COALESCE(cc.customer_count, 0) AS customer_count +FROM industries i +LEFT JOIN china_customers cc ON i.industry = cc.industry +ORDER BY i.industry; +/* EXEC RESULT + industry customer_count +AUTOMOBILE 1 + BUILDING 0 + FURNITURE 0 + HOUSEHOLD 1 + MACHINERY 2 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/016/gold_csv/GQRY-A.0-B.0.csv b/tasks/readable/016/gold_csv/GQRY-A.0-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..71c53e609ca6507240211860c587cb20c46b85dd --- /dev/null +++ b/tasks/readable/016/gold_csv/GQRY-A.0-B.0.csv @@ -0,0 +1,2 @@ +supplier_count,customer_count +10000,6100 diff --git a/tasks/readable/016/gold_csv/GQRY-A.0-B.1.csv b/tasks/readable/016/gold_csv/GQRY-A.0-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..77639dedf9e66f12f369d383e46dd58611ae113d --- /dev/null +++ b/tasks/readable/016/gold_csv/GQRY-A.0-B.1.csv @@ -0,0 +1,2 @@ +supplier_count,customer_count +10000,29961 diff --git a/tasks/readable/016/gold_csv/GQRY-A.1-B.0.csv b/tasks/readable/016/gold_csv/GQRY-A.1-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..cab9be76c2d9e5f4b9abe52a96368090e5eb02c7 --- /dev/null +++ b/tasks/readable/016/gold_csv/GQRY-A.1-B.0.csv @@ -0,0 +1,2 @@ +supplier_count,customer_count +391,6100 diff --git a/tasks/readable/016/gold_csv/GQRY-A.1-B.1.csv b/tasks/readable/016/gold_csv/GQRY-A.1-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..8c628cf4c830336c9be08e08c735bc64717dec37 --- /dev/null +++ b/tasks/readable/016/gold_csv/GQRY-A.1-B.1.csv @@ -0,0 +1,2 @@ +supplier_count,customer_count +1992,29961 diff --git a/tasks/readable/016/task_readable.sql b/tasks/readable/016/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..76ead712c6de15008925bec1b77788a78797ab6e --- /dev/null +++ b/tasks/readable/016/task_readable.sql @@ -0,0 +1,156 @@ +/* +{ + "qid": "016", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "retails", + "question": "Show the number of suppliers and customers from America.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "suppliers and customers from America", + "type": "finite", + "ambiguity_type": "syntactic_computation", + "interpretations": [ + "suppliers AND (customers from America)", + "(suppliers from America) AND (customers from America)" + ], + "intended_interpretation_idx": 1 + }, + { + "id": "B", + "phrase": "America", + "type": "finite", + "ambiguity_type": "semantic_table", + "interpretations": [ + "United States (country)", + "Americas (region)" + ], + "intended_interpretation_idx": 0 + } + ], + "gold_intended_query_id": "GQRY-A.1-B.0", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0-B.0` ----- +/* +{ + "id": "GQRY-A.0-B.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] suppliers and customers from America": "suppliers AND (customers from America)", + "[B] America": "United States (country)" + } + } +} +*/ +SELECT +(SELECT COUNT(*) FROM supplier) AS supplier_count, +(SELECT COUNT(*) FROM customer +WHERE c_nationkey IN (SELECT n_nationkey FROM nation WHERE n_name = 'UNITED STATES') +) AS customer_count; +/* EXEC RESULT + supplier_count customer_count + 10000 6100 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.1` ----- +/* +{ + "id": "GQRY-A.0-B.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] suppliers and customers from America": "suppliers AND (customers from America)", + "[B] America": "Americas (region)" + } + } +} +*/ +SELECT +(SELECT COUNT(*) FROM supplier) AS supplier_count, +(SELECT COUNT(*) FROM customer +WHERE c_nationkey IN (SELECT n_nationkey FROM nation WHERE n_regionkey = (SELECT r_regionkey FROM region WHERE r_name = 'AMERICA')) +) AS customer_count; +/* EXEC RESULT + supplier_count customer_count + 10000 29961 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.0` ----- +/* +{ + "id": "GQRY-A.1-B.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] suppliers and customers from America": "(suppliers from America) AND (customers from America)", + "[B] America": "United States (country)" + } + } +} +*/ +SELECT +(SELECT COUNT(*) FROM supplier +WHERE s_nationkey IN (SELECT n_nationkey FROM nation WHERE n_name = 'UNITED STATES') +) AS supplier_count, +(SELECT COUNT(*) FROM customer +WHERE c_nationkey IN (SELECT n_nationkey FROM nation WHERE n_name = 'UNITED STATES') +) AS customer_count; +/* EXEC RESULT + supplier_count customer_count + 391 6100 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.1` ----- +/* +{ + "id": "GQRY-A.1-B.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] suppliers and customers from America": "(suppliers from America) AND (customers from America)", + "[B] America": "Americas (region)" + } + } +} +*/ +SELECT +(SELECT COUNT(*) FROM supplier +WHERE s_nationkey IN (SELECT n_nationkey FROM nation WHERE n_regionkey = (SELECT r_regionkey FROM region WHERE r_name = 'AMERICA')) +) AS supplier_count, +(SELECT COUNT(*) FROM customer +WHERE c_nationkey IN (SELECT n_nationkey FROM nation WHERE n_regionkey = (SELECT r_regionkey FROM region WHERE r_name = 'AMERICA')) +) AS customer_count; +/* EXEC RESULT + supplier_count customer_count + 1992 29961 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/017/gold_csv/GQRY-A.0.csv b/tasks/readable/017/gold_csv/GQRY-A.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..8bb947681c57eff20129b6afdad484413493f8f2 --- /dev/null +++ b/tasks/readable/017/gold_csv/GQRY-A.0.csv @@ -0,0 +1,6 @@ +market_segment,customer_key,customer_name,largest_value +AUTOMOBILE,92176,Customer#000092176,516410.4 +BUILDING,20210,Customer#000020210,528557.33 +FURNITURE,62623,Customer#000062623,527130.81 +HOUSEHOLD,122104,Customer#000122104,499669.03 +MACHINERY,126544,Customer#000126544,510600.98 diff --git a/tasks/readable/017/gold_csv/GQRY-A.1.csv b/tasks/readable/017/gold_csv/GQRY-A.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..b6bdef2ea84f7ece3c039574ff64559c081d63dc --- /dev/null +++ b/tasks/readable/017/gold_csv/GQRY-A.1.csv @@ -0,0 +1,6 @@ +market_segment,customer_key,customer_name,largest_value +AUTOMOBILE,114308,Customer#000114308,5486668.76 +BUILDING,58421,Customer#000058421,5487155.770000001 +FURNITURE,41290,Customer#000041290,5473361.709999999 +HOUSEHOLD,79933,Customer#000079933,5928489.380000001 +MACHINERY,58387,Customer#000058387,5719569.38 diff --git a/tasks/readable/017/task_readable.sql b/tasks/readable/017/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..19439a5004e7e8da3a3c42041e674758dce609c6 --- /dev/null +++ b/tasks/readable/017/task_readable.sql @@ -0,0 +1,119 @@ +/* +{ + "qid": "017", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "retails", + "question": "Find the customer with the largest order value in each market segment.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "largest order value", + "type": "finite", + "ambiguity_type": "semantic_computation", + "interpretations": [ + "largest single order value", + "largest total order value" + ], + "intended_interpretation_idx": 1 + } + ], + "gold_intended_query_id": "GQRY-A.1", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0` ----- +/* +{ + "id": "GQRY-A.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 0, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] largest order value": "largest single order value" + } + } +} +*/ +WITH order_totals AS ( +SELECT c_mktsegment, c.c_custkey, c.c_name, MAX(o.o_totalprice) AS max_o_totalprice +FROM customer c +JOIN orders o ON c.c_custkey = o.o_custkey +GROUP BY c_mktsegment, c.c_custkey, c.c_name +) +SELECT +ot.c_mktsegment AS market_segment, +ot.c_custkey AS customer_key, +ot.c_name AS customer_name, +ot.max_o_totalprice AS largest_value +FROM order_totals ot +JOIN ( +SELECT ot2.c_mktsegment, MAX(ot2.max_o_totalprice) AS max_value +FROM order_totals ot2 +GROUP BY ot2.c_mktsegment +) AS max_val ON ot.c_mktsegment = max_val.c_mktsegment AND ot.max_o_totalprice = max_val.max_value; +/* EXEC RESULT +market_segment customer_key customer_name largest_value + AUTOMOBILE 92176 Customer#000092176 516410.40 + BUILDING 20210 Customer#000020210 528557.33 + FURNITURE 62623 Customer#000062623 527130.81 + HOUSEHOLD 122104 Customer#000122104 499669.03 + MACHINERY 126544 Customer#000126544 510600.98 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1` ----- +/* +{ + "id": "GQRY-A.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 0, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] largest order value": "largest total order value" + } + } +} +*/ +WITH order_totals AS ( +SELECT c_mktsegment, c.c_custkey, c.c_name, SUM(o.o_totalprice) AS total_o_totalprice +FROM customer c +JOIN orders o ON c.c_custkey = o.o_custkey +GROUP BY c_mktsegment, c.c_custkey, c.c_name +) +SELECT +ot.c_mktsegment AS market_segment, +ot.c_custkey AS customer_key, +ot.c_name AS customer_name, +ot.total_o_totalprice AS largest_value +FROM order_totals ot +JOIN ( +SELECT ot2.c_mktsegment, MAX(ot2.total_o_totalprice) AS max_value +FROM order_totals ot2 +GROUP BY ot2.c_mktsegment +) AS max_val ON ot.c_mktsegment = max_val.c_mktsegment AND ot.total_o_totalprice = max_val.max_value; +/* EXEC RESULT +market_segment customer_key customer_name largest_value + AUTOMOBILE 114308 Customer#000114308 5486668.76 + BUILDING 58421 Customer#000058421 5487155.77 + FURNITURE 41290 Customer#000041290 5473361.71 + HOUSEHOLD 79933 Customer#000079933 5928489.38 + MACHINERY 58387 Customer#000058387 5719569.38 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/018/gold_csv/GQRY-A.0.csv b/tasks/readable/018/gold_csv/GQRY-A.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..4b4839b471ae8a9680006d88956e410c9562d3dc --- /dev/null +++ b/tasks/readable/018/gold_csv/GQRY-A.0.csv @@ -0,0 +1,2 @@ +COUNT(DISTINCT c.c_custkey) +88988 diff --git a/tasks/readable/018/gold_csv/GQRY-A.1.csv b/tasks/readable/018/gold_csv/GQRY-A.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..abb1c9095fec27b5d3c6f3614b38e162bbcff546 --- /dev/null +++ b/tasks/readable/018/gold_csv/GQRY-A.1.csv @@ -0,0 +1,2 @@ +COUNT(DISTINCT c.c_custkey) +92006 diff --git a/tasks/readable/018/task_readable.sql b/tasks/readable/018/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..b1e6ae976a94686a1a6e43438c764a77ae364250 --- /dev/null +++ b/tasks/readable/018/task_readable.sql @@ -0,0 +1,81 @@ +/* +{ + "qid": "018", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "retails", + "question": "Count the number of customers that have used air shipping.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "air shipping", + "type": "finite", + "ambiguity_type": "semantic_value", + "interpretations": [ + "ship mode is AIR", + "ship mode is AIR or REG AIR" + ], + "intended_interpretation_idx": 1 + } + ], + "gold_intended_query_id": "GQRY-A.1", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0` ----- +/* +{ + "id": "GQRY-A.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] air shipping": "ship mode is AIR" + } + } +} +*/ +SELECT COUNT(DISTINCT c.c_custkey) +FROM customer c +JOIN orders o ON c.c_custkey = o.o_custkey +JOIN lineitem l ON o.o_orderkey = l.l_orderkey +WHERE l.l_shipmode = 'AIR'; +/* EXEC RESULT + COUNT(DISTINCT c.c_custkey) + 88988 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1` ----- +/* +{ + "id": "GQRY-A.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] air shipping": "ship mode is AIR or REG AIR" + } + } +} +*/ +SELECT COUNT(DISTINCT c.c_custkey) +FROM customer c +JOIN orders o ON c.c_custkey = o.o_custkey +JOIN lineitem l ON o.o_orderkey = l.l_orderkey +WHERE l.l_shipmode IN ('AIR', 'REG AIR'); +/* EXEC RESULT + COUNT(DISTINCT c.c_custkey) + 92006 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/019/gold_csv/GQRY-A.0.csv b/tasks/readable/019/gold_csv/GQRY-A.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..bd06deffb7774e31bb63ac006f26f5e0d1a449e0 --- /dev/null +++ b/tasks/readable/019/gold_csv/GQRY-A.0.csv @@ -0,0 +1,6 @@ +p_mfgr,SUM(CASE WHEN p_retailprice > 2000 OR p_size > 40 THEN 1 ELSE 0 END) +Manufacturer#1,8697 +Manufacturer#2,8735 +Manufacturer#3,8810 +Manufacturer#4,8694 +Manufacturer#5,8899 diff --git a/tasks/readable/019/gold_csv/GQRY-A.1.csv b/tasks/readable/019/gold_csv/GQRY-A.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..0eebb378f2a254ce05ad0e11d603e676a60b87ef --- /dev/null +++ b/tasks/readable/019/gold_csv/GQRY-A.1.csv @@ -0,0 +1,6 @@ +p_mfgr,SUM(CASE WHEN p_retailprice > 2000 OR p_size = 40 THEN 1 ELSE 0 END) +Manufacturer#1,1836 +Manufacturer#2,1735 +Manufacturer#3,1756 +Manufacturer#4,1728 +Manufacturer#5,1786 diff --git a/tasks/readable/019/task_readable.sql b/tasks/readable/019/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..b1de503ab5b9aa0df173c14fdd0c94af826ef7f9 --- /dev/null +++ b/tasks/readable/019/task_readable.sql @@ -0,0 +1,85 @@ +/* +{ + "qid": "019", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "retails", + "question": "For each manufacturer, count the number of parts with over 2000 retail price or size 40.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "parts with over 2000 retail price or size 40", + "type": "finite", + "ambiguity_type": "syntactic_computation", + "interpretations": [ + "parts with over (2000 retail price or size 40)", + "parts with (over 2000 retail price) or (size 40)" + ], + "intended_interpretation_idx": 0 + } + ], + "gold_intended_query_id": "GQRY-A.0", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0` ----- +/* +{ + "id": "GQRY-A.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] parts with over 2000 retail price or size 40": "parts with over (2000 retail price or size 40)" + } + } +} +*/ +SELECT p_mfgr, SUM(CASE WHEN p_retailprice > 2000 OR p_size > 40 THEN 1 ELSE 0 END) +FROM part +GROUP BY p_mfgr; +/* EXEC RESULT + p_mfgr SUM(CASE WHEN p_retailprice > 2000 OR p_size > 40 THEN 1 ELSE 0 END) +Manufacturer#1 8697 +Manufacturer#2 8735 +Manufacturer#3 8810 +Manufacturer#4 8694 +Manufacturer#5 8899 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1` ----- +/* +{ + "id": "GQRY-A.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] parts with over 2000 retail price or size 40": "parts with (over 2000 retail price) or (size 40)" + } + } +} +*/ +SELECT p_mfgr, SUM(CASE WHEN p_retailprice > 2000 OR p_size = 40 THEN 1 ELSE 0 END) +FROM part +GROUP BY p_mfgr; +/* EXEC RESULT + p_mfgr SUM(CASE WHEN p_retailprice > 2000 OR p_size = 40 THEN 1 ELSE 0 END) +Manufacturer#1 1836 +Manufacturer#2 1735 +Manufacturer#3 1756 +Manufacturer#4 1728 +Manufacturer#5 1786 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/020/gold_csv/GQRY-A.0-C.0.csv b/tasks/readable/020/gold_csv/GQRY-A.0-C.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..b7cf1b9432b3b6b2c2aa890674e1b269ce8e3001 --- /dev/null +++ b/tasks/readable/020/gold_csv/GQRY-A.0-C.0.csv @@ -0,0 +1,16 @@ +p_partkey,p_name,p_type,p_size +72,salmon goldenrod cornflower chartreuse rosy,STANDARD BRUSHED COPPER,28 +134,medium smoke firebrick green medium,SMALL BRUSHED COPPER,42 +147,midnight antique lavender royal misty,SMALL BRUSHED NICKEL,50 +335,burnished mint azure honeydew honeydew,ECONOMY BRUSHED NICKEL,32 +355,frosted ivory beige orange slate,LARGE BURNISHED NICKEL,33 +460,sky moccasin drab steel ghost,SMALL PLATED NICKEL,48 +488,almond white light saddle green,MEDIUM ANODIZED COPPER,30 +582,dim wheat peach almond honeydew,STANDARD PLATED BRASS,47 +718,midnight linen firebrick red gainsboro,MEDIUM POLISHED STEEL,43 +757,navy metallic grey rosy puff,STANDARD POLISHED BRASS,25 +824,aquamarine metallic blanched spring purple,STANDARD BURNISHED TIN,44 +846,spring dodger lemon sienna dim,SMALL PLATED STEEL,27 +887,cornsilk purple purple lavender seashell,LARGE BRUSHED BRASS,50 +939,goldenrod mint almond goldenrod slate,ECONOMY PLATED TIN,35 +960,chocolate seashell beige lemon gainsboro,PROMO PLATED STEEL,50 diff --git a/tasks/readable/020/gold_csv/GQRY-A.0-C.1.csv b/tasks/readable/020/gold_csv/GQRY-A.0-C.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..423e7bf57d591d3535fa19567cbc20aa7bbb937f --- /dev/null +++ b/tasks/readable/020/gold_csv/GQRY-A.0-C.1.csv @@ -0,0 +1,4 @@ +p_partkey,p_name,p_type,p_size +147,midnight antique lavender royal misty,SMALL BRUSHED NICKEL,50 +355,frosted ivory beige orange slate,LARGE BURNISHED NICKEL,33 +960,chocolate seashell beige lemon gainsboro,PROMO PLATED STEEL,50 diff --git a/tasks/readable/020/gold_csv/GQRY-A.1-C.0.csv b/tasks/readable/020/gold_csv/GQRY-A.1-C.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..86591d23e080abf885a29ef8f03cc4e5970b6815 --- /dev/null +++ b/tasks/readable/020/gold_csv/GQRY-A.1-C.0.csv @@ -0,0 +1,3 @@ +p_partkey,p_name,p_type,p_size +355,frosted ivory beige orange slate,LARGE BURNISHED NICKEL,33 +887,cornsilk purple purple lavender seashell,LARGE BRUSHED BRASS,50 diff --git a/tasks/readable/020/gold_csv/GQRY-A.1-C.1.csv b/tasks/readable/020/gold_csv/GQRY-A.1-C.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..c4533829f7a37952a949538a275c05b50e0e62c6 --- /dev/null +++ b/tasks/readable/020/gold_csv/GQRY-A.1-C.1.csv @@ -0,0 +1,2 @@ +p_partkey,p_name,p_type,p_size +355,frosted ivory beige orange slate,LARGE BURNISHED NICKEL,33 diff --git a/tasks/readable/020/task_readable.sql b/tasks/readable/020/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..bf036397d8feb076ae4fc01307e0e8ea693d2d6f --- /dev/null +++ b/tasks/readable/020/task_readable.sql @@ -0,0 +1,238 @@ +/* +{ + "qid": "020", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "retails", + "question": "List large parts that haven't been shipped to Middle East countries. Only includes parts with ID <= 1000.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "large parts", + "type": "finite", + "ambiguity_type": "semantic_column", + "interpretations": [ + "p_size is high", + "p_type starts with 'LARGE'" + ], + "intended_interpretation_idx": 1 + }, + { + "id": "B", + "phrase": "large parts", + "type": "infinite", + "ambiguity_type": "semantic_value", + "parameter_name": "size_threshold", + "parameter_dtype": "int", + "parameter_sample_operators": [ + ">", + ">=" + ], + "parameter_sample_values": [ + 25 + ], + "intended_parameter_operator": ">=", + "intended_parameter_value": 25 + }, + { + "id": "C", + "phrase": "Middle East countries", + "type": "finite", + "ambiguity_type": "semantic_value", + "interpretations": [ + "excludes Egypt (only countries whose region is MIDDLE EAST in the database)", + "includes Egypt (Egypt is widely recognized as a Middle East country)" + ], + "intended_interpretation_idx": 0 + } + ], + "gold_intended_query_id": "GQRY-A.1-C.0", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0-C.0` ----- +/* +{ + "id": "GQRY-A.0-C.0", + "parameter_names": [ + "size_threshold" + ], + "parameter_values": { + "size_threshold": 25 + }, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] large parts": "p_size is high", + "[B] large parts": ":size_threshold", + "[C] Middle East countries": "excludes Egypt (only countries whose region is MIDDLE EAST in the database)" + } + } +} +*/ +SELECT DISTINCT p.p_partkey, p.p_name, p.p_type, p.p_size +FROM part p +WHERE p.p_size >= :size_threshold +AND p.p_partkey <= 1000 +AND p.p_partkey NOT IN ( +SELECT DISTINCT l.l_partkey +FROM lineitem l +JOIN orders o ON l.l_orderkey = o.o_orderkey +JOIN customer c ON o.o_custkey = c.c_custkey +JOIN nation n ON c.c_nationkey = n.n_nationkey +JOIN region r ON n.n_regionkey = r.r_regionkey +WHERE r.r_name = 'MIDDLE EAST' +) +ORDER BY p.p_partkey; +/* EXEC RESULT + p_partkey p_name p_type p_size + 72 salmon goldenrod cornflower chartreuse rosy STANDARD BRUSHED COPPER 28 + 134 medium smoke firebrick green medium SMALL BRUSHED COPPER 42 + 147 midnight antique lavender royal misty SMALL BRUSHED NICKEL 50 + 335 burnished mint azure honeydew honeydew ECONOMY BRUSHED NICKEL 32 + 355 frosted ivory beige orange slate LARGE BURNISHED NICKEL 33 +... TRUNCATED ... + 824 aquamarine metallic blanched spring purple STANDARD BURNISHED TIN 44 + 846 spring dodger lemon sienna dim SMALL PLATED STEEL 27 + 887 cornsilk purple purple lavender seashell LARGE BRUSHED BRASS 50 + 939 goldenrod mint almond goldenrod slate ECONOMY PLATED TIN 35 + 960 chocolate seashell beige lemon gainsboro PROMO PLATED STEEL 50 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-C.1` ----- +/* +{ + "id": "GQRY-A.0-C.1", + "parameter_names": [ + "size_threshold" + ], + "parameter_values": { + "size_threshold": 25 + }, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] large parts": "p_size is high", + "[B] large parts": ":size_threshold", + "[C] Middle East countries": "includes Egypt (Egypt is widely recognized as a Middle East country)" + } + } +} +*/ +SELECT DISTINCT p.p_partkey, p.p_name, p.p_type, p.p_size +FROM part p +WHERE p.p_size >= :size_threshold +AND p.p_partkey <= 1000 +AND p.p_partkey NOT IN ( +SELECT DISTINCT l.l_partkey +FROM lineitem l +JOIN orders o ON l.l_orderkey = o.o_orderkey +JOIN customer c ON o.o_custkey = c.c_custkey +JOIN nation n ON c.c_nationkey = n.n_nationkey +JOIN region r ON n.n_regionkey = r.r_regionkey +WHERE r.r_name = 'MIDDLE EAST' OR n.n_name = 'EGYPT' +) +ORDER BY p.p_partkey; +/* EXEC RESULT + p_partkey p_name p_type p_size + 147 midnight antique lavender royal misty SMALL BRUSHED NICKEL 50 + 355 frosted ivory beige orange slate LARGE BURNISHED NICKEL 33 + 960 chocolate seashell beige lemon gainsboro PROMO PLATED STEEL 50 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-C.0` ----- +/* +{ + "id": "GQRY-A.1-C.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] large parts": "p_type starts with 'LARGE'", + "[B] large parts": ":size_threshold", + "[C] Middle East countries": "excludes Egypt (only countries whose region is MIDDLE EAST in the database)" + } + } +} +*/ +SELECT DISTINCT p.p_partkey, p.p_name, p.p_type, p.p_size +FROM part p +WHERE p.p_type LIKE 'LARGE%' +AND p.p_partkey <= 1000 +AND p.p_partkey NOT IN ( +SELECT DISTINCT l.l_partkey +FROM lineitem l +JOIN orders o ON l.l_orderkey = o.o_orderkey +JOIN customer c ON o.o_custkey = c.c_custkey +JOIN nation n ON c.c_nationkey = n.n_nationkey +JOIN region r ON n.n_regionkey = r.r_regionkey +WHERE r.r_name = 'MIDDLE EAST' +) +ORDER BY p.p_partkey; +/* EXEC RESULT + p_partkey p_name p_type p_size + 355 frosted ivory beige orange slate LARGE BURNISHED NICKEL 33 + 887 cornsilk purple purple lavender seashell LARGE BRUSHED BRASS 50 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-C.1` ----- +/* +{ + "id": "GQRY-A.1-C.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] large parts": "p_type starts with 'LARGE'", + "[B] large parts": ":size_threshold", + "[C] Middle East countries": "includes Egypt (Egypt is widely recognized as a Middle East country)" + } + } +} +*/ +SELECT DISTINCT p.p_partkey, p.p_name, p.p_type, p.p_size +FROM part p +WHERE p.p_type LIKE 'LARGE%' +AND p.p_partkey <= 1000 +AND p.p_partkey NOT IN ( +SELECT DISTINCT l.l_partkey +FROM lineitem l +JOIN orders o ON l.l_orderkey = o.o_orderkey +JOIN customer c ON o.o_custkey = c.c_custkey +JOIN nation n ON c.c_nationkey = n.n_nationkey +JOIN region r ON n.n_regionkey = r.r_regionkey +WHERE r.r_name = 'MIDDLE EAST' OR n.n_name = 'EGYPT' +) +ORDER BY p.p_partkey; +/* EXEC RESULT + p_partkey p_name p_type p_size + 355 frosted ivory beige orange slate LARGE BURNISHED NICKEL 33 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/021/gold_csv/GQRY-A.0.csv b/tasks/readable/021/gold_csv/GQRY-A.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..dc22d0bfc9c316b14c163ad0b7a805f0a4b8d10a --- /dev/null +++ b/tasks/readable/021/gold_csv/GQRY-A.0.csv @@ -0,0 +1,352 @@ +c_custkey,c_name,total_quantity +68513,Customer#000068513,3779 +114308,Customer#000114308,3612 +58421,Customer#000058421,3605 +147472,Customer#000147472,3544 +48853,Customer#000048853,3535 +25862,Customer#000025862,3533 +44167,Customer#000044167,3526 +84203,Customer#000084203,3520 +108451,Customer#000108451,3486 +12581,Customer#000012581,3470 +63035,Customer#000063035,3454 +137387,Customer#000137387,3429 +96370,Customer#000096370,3402 +149692,Customer#000149692,3392 +16952,Customer#000016952,3377 +93200,Customer#000093200,3376 +44603,Customer#000044603,3372 +13438,Customer#000013438,3370 +136693,Customer#000136693,3366 +121172,Customer#000121172,3332 +115100,Customer#000115100,3318 +3593,Customer#000003593,3299 +86471,Customer#000086471,3297 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+102748,Customer#000102748,2806 +148820,Customer#000148820,2806 +112112,Customer#000112112,2804 +12931,Customer#000012931,2802 +17203,Customer#000017203,2802 +104228,Customer#000104228,2802 +10780,Customer#000010780,2801 +14912,Customer#000014912,2801 +78145,Customer#000078145,2801 +2648,Customer#000002648,2800 +22985,Customer#000022985,2800 +39151,Customer#000039151,2800 +102176,Customer#000102176,2800 diff --git a/tasks/readable/021/gold_csv/GQRY-A.1.csv b/tasks/readable/021/gold_csv/GQRY-A.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..4524c1ae3cd68c9f50b4230d60f201b1879d5c85 --- /dev/null +++ b/tasks/readable/021/gold_csv/GQRY-A.1.csv @@ -0,0 +1 @@ +c_custkey,c_name,total_lineitems diff --git a/tasks/readable/021/gold_csv/GQRY-A.2.csv b/tasks/readable/021/gold_csv/GQRY-A.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..4f497e4a157f7e2c0370ba7076df8bfaba705eed --- /dev/null +++ b/tasks/readable/021/gold_csv/GQRY-A.2.csv @@ -0,0 +1 @@ +c_custkey,c_name,total_orders diff --git a/tasks/readable/021/task_readable.sql b/tasks/readable/021/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..ce94750dca444b422c07a367b8b1329909b89c30 --- /dev/null +++ b/tasks/readable/021/task_readable.sql @@ -0,0 +1,165 @@ +/* +{ + "qid": "021", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "retails", + "question": "Find customers with high purchase quantities.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "high purchase quantities", + "type": "finite", + "ambiguity_type": "semantic_computation", + "interpretations": [ + "large total quantities of individual parts", + "large number of line items", + "large number of orders" + ], + "intended_interpretation_idx": 0 + }, + { + "id": "B", + "phrase": "high purchase quantities", + "type": "infinite", + "ambiguity_type": "semantic_value", + "parameter_name": "quantity_threshold", + "parameter_dtype": "int", + "parameter_sample_operators": [ + ">", + ">=" + ], + "parameter_sample_values": [ + 2800 + ], + "intended_parameter_operator": ">=", + "intended_parameter_value": 2800 + } + ], + "gold_intended_query_id": "GQRY-A.0", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0` ----- +/* +{ + "id": "GQRY-A.0", + "parameter_names": [ + "quantity_threshold" + ], + "parameter_values": { + "quantity_threshold": 2800 + }, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] high purchase quantities": "large total quantities of individual parts", + "[B] high purchase quantities": ":quantity_threshold" + } + } +} +*/ +SELECT c.c_custkey, c.c_name, SUM(l.l_quantity) as total_quantity +FROM customer c +JOIN orders o ON c.c_custkey = o.o_custkey +JOIN lineitem l ON o.o_orderkey = l.l_orderkey +GROUP BY c.c_custkey, c.c_name +HAVING SUM(l.l_quantity) >= :quantity_threshold +ORDER BY total_quantity DESC; +/* EXEC RESULT + c_custkey c_name total_quantity + 68513 Customer#000068513 3779 + 114308 Customer#000114308 3612 + 58421 Customer#000058421 3605 + 147472 Customer#000147472 3544 + 48853 Customer#000048853 3535 +... TRUNCATED ... + 78145 Customer#000078145 2801 + 2648 Customer#000002648 2800 + 22985 Customer#000022985 2800 + 39151 Customer#000039151 2800 + 102176 Customer#000102176 2800 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1` ----- +/* +{ + "id": "GQRY-A.1", + "parameter_names": [ + "quantity_threshold" + ], + "parameter_values": { + "quantity_threshold": 2800 + }, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] high purchase quantities": "large number of line items", + "[B] high purchase quantities": ":quantity_threshold" + } + } +} +*/ +SELECT c.c_custkey, c.c_name, COUNT(*) as total_lineitems +FROM customer c +JOIN orders o ON c.c_custkey = o.o_custkey +JOIN lineitem l ON o.o_orderkey = l.l_orderkey +GROUP BY c.c_custkey, c.c_name +HAVING COUNT(*) >= :quantity_threshold +ORDER BY total_lineitems DESC; +/* EXEC RESULT +Empty DataFrame +Columns: [c_custkey, c_name, total_lineitems] +Index: [] +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.2` ----- +/* +{ + "id": "GQRY-A.2", + "parameter_names": [ + "quantity_threshold" + ], + "parameter_values": { + "quantity_threshold": 2800 + }, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] high purchase quantities": "large number of orders", + "[B] high purchase quantities": ":quantity_threshold" + } + } +} +*/ +SELECT c.c_custkey, c.c_name, COUNT(DISTINCT o.o_orderkey) as total_orders +FROM customer c +JOIN orders o ON c.c_custkey = o.o_custkey +GROUP BY c.c_custkey, c.c_name +HAVING COUNT(DISTINCT o.o_orderkey) >= :quantity_threshold +ORDER BY total_orders DESC; +/* EXEC RESULT +Empty DataFrame +Columns: [c_custkey, c_name, total_orders] +Index: [] +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/022/gold_csv/GQRY-A.0.csv b/tasks/readable/022/gold_csv/GQRY-A.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..8a52a3328fb4acd8a3e3fd24af7bdd33ea058d1c --- /dev/null +++ b/tasks/readable/022/gold_csv/GQRY-A.0.csv @@ -0,0 +1,26 @@ +n_name,c_custkey,c_name,c_acctbal +ALGERIA,122154,Customer#000122154,9999.6 +ARGENTINA,14740,Customer#000014740,9999.96 +BRAZIL,21734,Customer#000021734,9998.72 +CANADA,147958,Customer#000147958,9998.59 +EGYPT,124581,Customer#000124581,9996.59 +ETHIOPIA,48616,Customer#000048616,9999.84 +FRANCE,96856,Customer#000096856,9998.54 +GERMANY,97961,Customer#000097961,9999.56 +INDIA,73836,Customer#000073836,9999.75 +INDONESIA,134353,Customer#000134353,9999.25 +IRAN,84316,Customer#000084316,9999.28 +IRAQ,6656,Customer#000006656,9999.03 +JAPAN,41460,Customer#000041460,9999.49 +JORDAN,72823,Customer#000072823,9999.65 +KENYA,122227,Customer#000122227,9998.05 +MOROCCO,118127,Customer#000118127,9999.94 +MOZAMBIQUE,7776,Customer#000007776,9998.58 +PERU,30307,Customer#000030307,9995.8 +CHINA,23307,Customer#000023307,9998.04 +ROMANIA,138792,Customer#000138792,9998.17 +SAUDI ARABIA,105511,Customer#000105511,9995.57 +VIETNAM,330,Customer#000000330,9999.59 +RUSSIA,81836,Customer#000081836,9997.92 +UNITED KINGDOM,113195,Customer#000113195,9995.65 +UNITED STATES,75730,Customer#000075730,9999.8 diff --git a/tasks/readable/022/gold_csv/GQRY-A.1.csv b/tasks/readable/022/gold_csv/GQRY-A.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..34eb1638ab7025578839f60869a5fb3ed651f8e1 --- /dev/null +++ b/tasks/readable/022/gold_csv/GQRY-A.1.csv @@ -0,0 +1,6 @@ +r_name,c_custkey,c_name,c_acctbal +AFRICA,118127,Customer#000118127,9999.94 +AMERICA,14740,Customer#000014740,9999.96 +ASIA,73836,Customer#000073836,9999.75 +EUROPE,97961,Customer#000097961,9999.56 +MIDDLE EAST,72823,Customer#000072823,9999.65 diff --git a/tasks/readable/022/gold_csv/GQRY-A.2.csv b/tasks/readable/022/gold_csv/GQRY-A.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..547fe1a1c8c7b8f9d09c6dd073573b7a5c8310e6 --- /dev/null +++ b/tasks/readable/022/gold_csv/GQRY-A.2.csv @@ -0,0 +1,6 @@ +c_mktsegment,c_custkey,c_name,c_acctbal +AUTOMOBILE,21734,Customer#000021734,9998.72 +BUILDING,330,Customer#000000330,9999.59 +FURNITURE,72823,Customer#000072823,9999.65 +HOUSEHOLD,48616,Customer#000048616,9999.84 +MACHINERY,14740,Customer#000014740,9999.96 diff --git a/tasks/readable/022/task_readable.sql b/tasks/readable/022/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..8c9b9e11a3c9d212b8be923e53840e1245d60f07 --- /dev/null +++ b/tasks/readable/022/task_readable.sql @@ -0,0 +1,157 @@ +/* +{ + "qid": "022", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "retails", + "question": "Show the customer with the highest account balance for each area.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "area", + "type": "finite", + "ambiguity_type": "semantic_column", + "interpretations": [ + "nation", + "region", + "market segment" + ], + "intended_interpretation_idx": 2 + } + ], + "gold_intended_query_id": "GQRY-A.2", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0` ----- +/* +{ + "id": "GQRY-A.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 0, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] area": "nation" + } + } +} +*/ +SELECT n_name, c_custkey, c_name, c_acctbal +FROM ( +SELECT n.n_nationkey, +n.n_name, +c.c_custkey, +c.c_name, +c.c_acctbal, +RANK() OVER (PARTITION BY n.n_nationkey ORDER BY c.c_acctbal DESC) AS rn +FROM customer c +JOIN nation n ON c.c_nationkey = n.n_nationkey +) t +WHERE rn = 1; +/* EXEC RESULT + n_name c_custkey c_name c_acctbal + ALGERIA 122154 Customer#000122154 9999.60 + ARGENTINA 14740 Customer#000014740 9999.96 + BRAZIL 21734 Customer#000021734 9998.72 + CANADA 147958 Customer#000147958 9998.59 + EGYPT 124581 Customer#000124581 9996.59 +... TRUNCATED ... + SAUDI ARABIA 105511 Customer#000105511 9995.57 + VIETNAM 330 Customer#000000330 9999.59 + RUSSIA 81836 Customer#000081836 9997.92 +UNITED KINGDOM 113195 Customer#000113195 9995.65 + UNITED STATES 75730 Customer#000075730 9999.80 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1` ----- +/* +{ + "id": "GQRY-A.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 0, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] area": "region" + } + } +} +*/ +SELECT r_name, c_custkey, c_name, c_acctbal +FROM ( +SELECT r.r_regionkey, +r.r_name, +c.c_custkey, +c.c_name, +c.c_acctbal, +RANK() OVER (PARTITION BY r.r_regionkey ORDER BY c.c_acctbal DESC) AS rn +FROM customer c +JOIN nation n ON c.c_nationkey = n.n_nationkey +JOIN region r ON n.n_regionkey = r.r_regionkey +) t +WHERE rn = 1; +/* EXEC RESULT + r_name c_custkey c_name c_acctbal + AFRICA 118127 Customer#000118127 9999.94 + AMERICA 14740 Customer#000014740 9999.96 + ASIA 73836 Customer#000073836 9999.75 + EUROPE 97961 Customer#000097961 9999.56 +MIDDLE EAST 72823 Customer#000072823 9999.65 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.2` ----- +/* +{ + "id": "GQRY-A.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 0, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] area": "market segment" + } + } +} +*/ +SELECT c_mktsegment, c_custkey, c_name, c_acctbal +FROM ( +SELECT c.c_mktsegment, +c.c_custkey, +c.c_name, +c.c_acctbal, +RANK() OVER (PARTITION BY c.c_mktsegment ORDER BY c.c_acctbal DESC) AS rn +FROM customer c +) t +WHERE rn = 1; +/* EXEC RESULT +c_mktsegment c_custkey c_name c_acctbal + AUTOMOBILE 21734 Customer#000021734 9998.72 + BUILDING 330 Customer#000000330 9999.59 + FURNITURE 72823 Customer#000072823 9999.65 + HOUSEHOLD 48616 Customer#000048616 9999.84 + MACHINERY 14740 Customer#000014740 9999.96 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/023/gold_csv/GQRY-A.0.csv b/tasks/readable/023/gold_csv/GQRY-A.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..baf0b611d494135c97d170128e86941a077b4ba3 --- /dev/null +++ b/tasks/readable/023/gold_csv/GQRY-A.0.csv @@ -0,0 +1,101 @@ +s_suppkey,s_name,total_amount_owed +1,Supplier#000000001,3082.86 +2,Supplier#000000002,3009.73 +3,Supplier#000000003,9159.78 +4,Supplier#000000004,9846.01 +5,Supplier#000000005,-74.94 +6,Supplier#000000006,7349.96 +7,Supplier#000000007,1680.44 +8,Supplier#000000008,-276.13 +9,Supplier#000000009,5246.2 +10,Supplier#000000010,6824.98 +11,Supplier#000000011,7866.58 +12,Supplier#000000012,5222.05 +13,Supplier#000000013,5234.64 +14,Supplier#000000014,4930.0 +15,Supplier#000000015,4973.38 +16,Supplier#000000016,5917.4 +17,Supplier#000000017,8809.66 +18,Supplier#000000018,8914.76 +19,Supplier#000000019,2143.15 +20,Supplier#000000020,1199.56 +21,Supplier#000000021,9415.02 +22,Supplier#000000022,3802.55 +23,Supplier#000000023,5581.38 +24,Supplier#000000024,9954.37 +25,Supplier#000000025,2783.21 +26,Supplier#000000026,492.6 +27,Supplier#000000027,790.12 +28,Supplier#000000028,5861.76 +29,Supplier#000000029,4988.08 +30,Supplier#000000030,1530.2 +31,Supplier#000000031,2121.28 +32,Supplier#000000032,5957.23 +33,Supplier#000000033,6756.44 +34,Supplier#000000034,4301.6 +35,Supplier#000000035,4475.99 +36,Supplier#000000036,4581.27 +37,Supplier#000000037,1979.65 +38,Supplier#000000038,3707.05 +39,Supplier#000000039,1843.65 +40,Supplier#000000040,1053.79 +41,Supplier#000000041,-365.89 +42,Supplier#000000042,4447.96 +43,Supplier#000000043,7664.71 +44,Supplier#000000044,3571.28 +45,Supplier#000000045,5769.48 +46,Supplier#000000046,2303.86 +47,Supplier#000000047,7329.12 +48,Supplier#000000048,8746.33 +49,Supplier#000000049,5259.09 +50,Supplier#000000050,7567.31 +51,Supplier#000000051,5704.71 +52,Supplier#000000052,2824.43 +53,Supplier#000000053,85.13 +54,Supplier#000000054,7162.38 +55,Supplier#000000055,3149.55 +56,Supplier#000000056,7584.72 +57,Supplier#000000057,9200.46 +58,Supplier#000000058,8770.94 +59,Supplier#000000059,7086.12 +60,Supplier#000000060,-209.62 +61,Supplier#000000061,2455.93 +62,Supplier#000000062,5458.46 +63,Supplier#000000063,5752.61 +64,Supplier#000000064,4381.0 +65,Supplier#000000065,7809.15 +66,Supplier#000000066,8780.46 +67,Supplier#000000067,5927.78 +68,Supplier#000000068,5683.37 +69,Supplier#000000069,-78.65 +70,Supplier#000000070,4879.19 +71,Supplier#000000071,3902.97 +72,Supplier#000000072,8759.08 +73,Supplier#000000073,965.63 +74,Supplier#000000074,3616.44 +75,Supplier#000000075,1171.65 +76,Supplier#000000076,6300.01 +77,Supplier#000000077,4441.98 +78,Supplier#000000078,7718.09 +79,Supplier#000000079,41.05 +80,Supplier#000000080,1409.62 +81,Supplier#000000081,7915.11 +82,Supplier#000000082,6950.82 +83,Supplier#000000083,9652.33 +84,Supplier#000000084,6881.72 +85,Supplier#000000085,2536.29 +86,Supplier#000000086,4680.67 +87,Supplier#000000087,1766.81 +88,Supplier#000000088,1722.32 +89,Supplier#000000089,8652.32 +90,Supplier#000000090,9256.95 +91,Supplier#000000091,8570.89 +92,Supplier#000000092,4966.08 +93,Supplier#000000093,9739.61 +94,Supplier#000000094,8813.81 +95,Supplier#000000095,8879.22 +96,Supplier#000000096,-668.13 +97,Supplier#000000097,3229.29 +98,Supplier#000000098,150.7 +99,Supplier#000000099,2074.0 +100,Supplier#000000100,1026.74 diff --git a/tasks/readable/023/gold_csv/GQRY-A.1.csv b/tasks/readable/023/gold_csv/GQRY-A.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..f9705a536dbbc575b1092468b2517ef19b3ed7a2 --- /dev/null +++ b/tasks/readable/023/gold_csv/GQRY-A.1.csv @@ -0,0 +1,101 @@ +s_suppkey,s_name,total_amount_owed +1,Supplier#000000001,3997515.9700000016 +2,Supplier#000000002,3702069.1599999988 +3,Supplier#000000003,3821614.419999999 +4,Supplier#000000004,4106842.46 +5,Supplier#000000005,3237869.219999998 +6,Supplier#000000006,4267533.619999999 +7,Supplier#000000007,3650735.2199999974 +8,Supplier#000000008,3703212.3000000003 +9,Supplier#000000009,3387090.969999999 +10,Supplier#000000010,3235961.7599999984 +11,Supplier#000000011,3687255.9999999995 +12,Supplier#000000012,5005900.69 +13,Supplier#000000013,4355195.280000001 +14,Supplier#000000014,4685979.969999998 +15,Supplier#000000015,4775090.409999999 +16,Supplier#000000016,3079604.420000001 +17,Supplier#000000017,3580827.9099999997 +18,Supplier#000000018,4678410.12 +19,Supplier#000000019,4515733.510000001 +20,Supplier#000000020,3348311.2500000014 +21,Supplier#000000021,3493535.2899999986 +22,Supplier#000000022,3523335.6199999987 +23,Supplier#000000023,3806782.0900000003 +24,Supplier#000000024,4101932.98 +25,Supplier#000000025,4433371.340000002 +26,Supplier#000000026,4151272.93 +27,Supplier#000000027,3221505.7300000023 +28,Supplier#000000028,4876289.7200000025 +29,Supplier#000000029,3746454.3799999985 +30,Supplier#000000030,4476687.239999997 +31,Supplier#000000031,4040128.5199999996 +32,Supplier#000000032,2948267.8299999987 +33,Supplier#000000033,3488812.85 +34,Supplier#000000034,3192595.209999999 +35,Supplier#000000035,4007473.1099999994 +36,Supplier#000000036,3508941.6500000013 +37,Supplier#000000037,4853002.379999999 +38,Supplier#000000038,4194302.359999998 +39,Supplier#000000039,3536945.869999998 +40,Supplier#000000040,4062917.2999999993 +41,Supplier#000000041,3871772.0400000005 +42,Supplier#000000042,3422853.3000000007 +43,Supplier#000000043,3103560.2099999995 +44,Supplier#000000044,4156912.2200000025 +45,Supplier#000000045,4043584.4599999995 +46,Supplier#000000046,2421695.610000001 +47,Supplier#000000047,3891062.5099999993 +48,Supplier#000000048,3341081.9299999992 +49,Supplier#000000049,4617737.16 +50,Supplier#000000050,4654267.51 +51,Supplier#000000051,3185191.5399999977 +52,Supplier#000000052,4624424.32 +53,Supplier#000000053,3550564.8300000005 +54,Supplier#000000054,3942664.3399999994 +55,Supplier#000000055,4195838.089999999 +56,Supplier#000000056,4368141.529999999 +57,Supplier#000000057,3408528.5300000007 +58,Supplier#000000058,3454559.2099999995 +59,Supplier#000000059,4193864.11 +60,Supplier#000000060,3958746.0399999986 +61,Supplier#000000061,3389768.160000002 +62,Supplier#000000062,4715674.070000001 +63,Supplier#000000063,3581224.709999998 +64,Supplier#000000064,4635215.689999998 +65,Supplier#000000065,3564150.4800000014 +66,Supplier#000000066,4478273.42 +67,Supplier#000000067,4628995.279999999 +68,Supplier#000000068,3149854.660000001 +69,Supplier#000000069,3018389.2299999995 +70,Supplier#000000070,3329227.6700000004 +71,Supplier#000000071,3732956.0400000005 +72,Supplier#000000072,3318958.1199999996 +73,Supplier#000000073,3830110.1999999997 +74,Supplier#000000074,4415654.59 +75,Supplier#000000075,3660388.2300000004 +76,Supplier#000000076,3372106.760000002 +77,Supplier#000000077,3364632.639999999 +78,Supplier#000000078,3301247.52 +79,Supplier#000000079,4204610.859999998 +80,Supplier#000000080,3463585.01 +81,Supplier#000000081,4424625.089999996 +82,Supplier#000000082,3943018.159999998 +83,Supplier#000000083,3342754.329999999 +84,Supplier#000000084,2409037.9999999995 +85,Supplier#000000085,4024333.170000001 +86,Supplier#000000086,4504706.789999999 +87,Supplier#000000087,4081737.58 +88,Supplier#000000088,3923487.810000001 +89,Supplier#000000089,4439341.58 +90,Supplier#000000090,4856078.919999999 +91,Supplier#000000091,3108520.729999999 +92,Supplier#000000092,3300714.930000002 +93,Supplier#000000093,3502452.9099999997 +94,Supplier#000000094,3392425.979999998 +95,Supplier#000000095,4254366.19 +96,Supplier#000000096,3946293.809999999 +97,Supplier#000000097,5186666.950000002 +98,Supplier#000000098,4234214.400000002 +99,Supplier#000000099,3389696.31 +100,Supplier#000000100,2705119.0500000003 diff --git a/tasks/readable/023/gold_csv/GQRY-A.2.csv b/tasks/readable/023/gold_csv/GQRY-A.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..06f4ca0bb2c59ec12866c5b734feec54f11181f9 --- /dev/null +++ b/tasks/readable/023/gold_csv/GQRY-A.2.csv @@ -0,0 +1,101 @@ +s_suppkey,s_name,total_amount_owed +1,Supplier#000000001,6214813.110000001 +2,Supplier#000000002,5173401.670000003 +3,Supplier#000000003,5582552.23 +4,Supplier#000000004,5775465.019999994 +5,Supplier#000000005,4846809.88 +6,Supplier#000000006,6530872.730000005 +7,Supplier#000000007,4991862.889999996 +8,Supplier#000000008,5370189.8500000015 +9,Supplier#000000009,4962012.770000002 +10,Supplier#000000010,4870528.890000003 +11,Supplier#000000011,5498357.580000006 +12,Supplier#000000012,7036439.819999996 +13,Supplier#000000013,6526769.340000002 +14,Supplier#000000014,6683092.520000001 +15,Supplier#000000015,6919608.83 +16,Supplier#000000016,4963999.040000001 +17,Supplier#000000017,5224823.329999999 +18,Supplier#000000018,7085444.650000007 +19,Supplier#000000019,6724356.849999998 +20,Supplier#000000020,4737734.78 +21,Supplier#000000021,4886397.019999999 +22,Supplier#000000022,4967858.179999999 +23,Supplier#000000023,5477114.58 +24,Supplier#000000024,6109360.189999998 +25,Supplier#000000025,6929280.7600000035 +26,Supplier#000000026,6020295.529999997 +27,Supplier#000000027,4939796.630000001 +28,Supplier#000000028,7073949.560000001 +29,Supplier#000000029,5415036.050000003 +30,Supplier#000000030,6566812.2899999935 +31,Supplier#000000031,5743647.259999999 +32,Supplier#000000032,4574927.779999997 +33,Supplier#000000033,5062248.269999998 +34,Supplier#000000034,4884986.370000001 +35,Supplier#000000035,5633981.750000002 +36,Supplier#000000036,4877052.999999994 +37,Supplier#000000037,6845733.2299999995 +38,Supplier#000000038,5876719.360000009 +39,Supplier#000000039,5113024.04 +40,Supplier#000000040,6033333.2600000035 +41,Supplier#000000041,5802860.809999994 +42,Supplier#000000042,5386404.010000004 +43,Supplier#000000043,4863099.009999999 +44,Supplier#000000044,6173806.180000004 +45,Supplier#000000045,5819741.929999997 +46,Supplier#000000046,3758111.389999996 +47,Supplier#000000047,5798785.089999998 +48,Supplier#000000048,5149824.980000001 +49,Supplier#000000049,6957339.220000001 +50,Supplier#000000050,6194637.860000001 +51,Supplier#000000051,4610855.740000001 +52,Supplier#000000052,6632775.06 +53,Supplier#000000053,5513278.750000001 +54,Supplier#000000054,5724375.059999995 +55,Supplier#000000055,5988836.049999997 +56,Supplier#000000056,6376395.030000003 +57,Supplier#000000057,5066404.329999997 +58,Supplier#000000058,4631137.060000002 +59,Supplier#000000059,6114755.270000002 +60,Supplier#000000060,5763656.020000001 +61,Supplier#000000061,4819196.559999996 +62,Supplier#000000062,6783561.309999997 +63,Supplier#000000063,5199265.890000001 +64,Supplier#000000064,6494732.5 +65,Supplier#000000065,5407337.800000004 +66,Supplier#000000066,6699682.750000006 +67,Supplier#000000067,7109938.120000003 +68,Supplier#000000068,4566398.189999996 +69,Supplier#000000069,4595445.4 +70,Supplier#000000070,4584197.130000002 +71,Supplier#000000071,5480612.600000011 +72,Supplier#000000072,5065173.699999997 +73,Supplier#000000073,5778507.609999997 +74,Supplier#000000074,6314025.68 +75,Supplier#000000075,5438908.880000006 +76,Supplier#000000076,4947478.15 +77,Supplier#000000077,5195099.22 +78,Supplier#000000078,4816057.670000001 +79,Supplier#000000079,6008951.059999999 +80,Supplier#000000080,5511715.059999993 +81,Supplier#000000081,6674705.34 +82,Supplier#000000082,5612709.809999998 +83,Supplier#000000083,5033823.080000003 +84,Supplier#000000084,3641609.3600000013 +85,Supplier#000000085,5811982.730000001 +86,Supplier#000000086,6281301.610000001 +87,Supplier#000000087,5723091.790000006 +88,Supplier#000000088,5849268.229999999 +89,Supplier#000000089,6523814.549999999 +90,Supplier#000000090,7201070.079999999 +91,Supplier#000000091,4766755.410000002 +92,Supplier#000000092,4849063.400000001 +93,Supplier#000000093,4907977.0000000065 +94,Supplier#000000094,4817724.159999999 +95,Supplier#000000095,5911046.6800000025 +96,Supplier#000000096,5815827.4 +97,Supplier#000000097,7649457.28 +98,Supplier#000000098,6310857.480000004 +99,Supplier#000000099,5039484.139999996 +100,Supplier#000000100,4159018.359999998 diff --git a/tasks/readable/023/task_readable.sql b/tasks/readable/023/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..b96c15fffae5bd0925d91af4eb102bb471cc1821 --- /dev/null +++ b/tasks/readable/023/task_readable.sql @@ -0,0 +1,156 @@ +/* +{ + "qid": "023", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "retails", + "question": "For each supplier with ID from 1 to 100, determine the total amount owed to them.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "total amount owed", + "type": "finite", + "ambiguity_type": "semantic_computation", + "interpretations": [ + "balance in the supplier's account", + "value of open line items", + "value of line items in unfinished orders" + ], + "intended_interpretation_idx": 1 + } + ], + "gold_intended_query_id": "GQRY-A.1", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0` ----- +/* +{ + "id": "GQRY-A.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 0, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] total amount owed": "balance in the supplier's account" + } + } +} +*/ +SELECT s_suppkey, +s_name, +s_acctbal AS total_amount_owed +FROM supplier +WHERE s_suppkey BETWEEN 1 AND 100; +/* EXEC RESULT + s_suppkey s_name total_amount_owed + 1 Supplier#000000001 3082.86 + 2 Supplier#000000002 3009.73 + 3 Supplier#000000003 9159.78 + 4 Supplier#000000004 9846.01 + 5 Supplier#000000005 -74.94 +... TRUNCATED ... + 96 Supplier#000000096 -668.13 + 97 Supplier#000000097 3229.29 + 98 Supplier#000000098 150.70 + 99 Supplier#000000099 2074.00 + 100 Supplier#000000100 1026.74 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1` ----- +/* +{ + "id": "GQRY-A.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 0, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] total amount owed": "value of open line items" + } + } +} +*/ +SELECT s.s_suppkey, +s.s_name, +COALESCE(SUM(l.l_quantity * ps.ps_supplycost), 0) AS total_amount_owed +FROM supplier s +LEFT JOIN lineitem l ON s.s_suppkey = l.l_suppkey AND l.l_linestatus = 'O' +LEFT JOIN partsupp ps ON l.l_partkey = ps.ps_partkey AND l.l_suppkey = ps.ps_suppkey +WHERE s.s_suppkey BETWEEN 1 AND 100 +GROUP BY s.s_suppkey, s.s_name; +/* EXEC RESULT + s_suppkey s_name total_amount_owed + 1 Supplier#000000001 3997515.97 + 2 Supplier#000000002 3702069.16 + 3 Supplier#000000003 3821614.42 + 4 Supplier#000000004 4106842.46 + 5 Supplier#000000005 3237869.22 +... TRUNCATED ... + 96 Supplier#000000096 3946293.81 + 97 Supplier#000000097 5186666.95 + 98 Supplier#000000098 4234214.40 + 99 Supplier#000000099 3389696.31 + 100 Supplier#000000100 2705119.05 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.2` ----- +/* +{ + "id": "GQRY-A.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 0, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] total amount owed": "value of line items in unfinished orders" + } + } +} +*/ +SELECT s.s_suppkey, +s.s_name, +COALESCE(SUM(l.l_quantity * ps.ps_supplycost), 0) AS total_amount_owed +FROM supplier AS s +LEFT JOIN lineitem AS l ON s.s_suppkey = l.l_suppkey +LEFT JOIN partsupp AS ps ON l.l_partkey = ps.ps_partkey AND l.l_suppkey = ps.ps_suppkey +LEFT JOIN orders AS o ON l.l_orderkey = o.o_orderkey AND o.o_orderstatus <> 'F' +WHERE s.s_suppkey BETWEEN 1 AND 100 +GROUP BY s.s_suppkey, s.s_name; +/* EXEC RESULT + s_suppkey s_name total_amount_owed + 1 Supplier#000000001 6214813.11 + 2 Supplier#000000002 5173401.67 + 3 Supplier#000000003 5582552.23 + 4 Supplier#000000004 5775465.02 + 5 Supplier#000000005 4846809.88 +... TRUNCATED ... + 96 Supplier#000000096 5815827.40 + 97 Supplier#000000097 7649457.28 + 98 Supplier#000000098 6310857.48 + 99 Supplier#000000099 5039484.14 + 100 Supplier#000000100 4159018.36 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/024/gold_csv/GQRY-A.0.csv b/tasks/readable/024/gold_csv/GQRY-A.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..1f66bb636b3e248a193e8a6e66b46dced5727b3c --- /dev/null +++ b/tasks/readable/024/gold_csv/GQRY-A.0.csv @@ -0,0 +1,18265 @@ +o_orderkey,o_orderdate,o_totalprice +504642,1996-02-28,496726.35 +3899781,1996-02-08,484817.17 +3093796,1996-02-02,470846.96 +2223461,1996-02-16,468971.22 +64900,1996-02-27,457183.27 +1236391,1996-02-25,451781.19 +670467,1996-02-01,449855.78 +1797286,1996-02-20,449853.91 +3892065,1996-02-15,441455.53 +304644,1996-02-25,441095.36 +4569474,1996-02-29,440104.71 +211814,1996-02-02,437968.69 +4681921,1996-02-05,437641.74 +1061504,1996-02-16,435957.32 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+3842178,1996-02-03,3566.97 +297542,1996-02-04,3457.48 +4381092,1996-02-27,3424.51 +5010370,1996-02-23,3415.65 +1870244,1996-02-13,3413.87 +3294944,1996-02-12,3406.35 +1751015,1996-02-24,3390.56 +1389541,1996-02-14,3326.54 +4718087,1996-02-02,3253.81 +5884327,1996-02-19,3232.31 +1069185,1996-02-02,3225.93 +3816901,1996-02-10,3181.98 +842338,1996-02-17,3131.4 +1715015,1996-02-04,3124.03 +4294049,1996-02-29,3122.9 +2481668,1996-02-22,3085.99 +2013219,1996-02-01,3080.69 +3601155,1996-02-28,3055.53 +1754018,1996-02-23,3042.67 +1965568,1996-02-05,2955.66 +2172418,1996-02-26,2933.02 +5330950,1996-02-27,2774.34 +3152897,1996-02-14,2595.94 +2215047,1996-02-13,2568.48 +3949287,1996-02-02,2482.52 +5462051,1996-02-26,2441.51 +1042593,1996-02-17,2325.44 +3596902,1996-02-10,2311.31 +5753029,1996-02-04,2275.03 +1932775,1996-02-01,2266.95 +2884292,1996-02-29,2234.63 +1273250,1996-02-26,2209.1 +5023588,1996-02-11,2179.41 +3076355,1996-02-11,2148.88 +1702405,1996-02-02,2129.99 +3930022,1996-02-13,2105.62 +4113153,1996-02-07,2090.53 +214982,1996-02-25,2069.58 +5206080,1996-02-14,2050.37 +4583363,1996-02-01,1970.14 +925923,1996-02-19,1961.66 +1057155,1996-02-10,1926.29 +2363520,1996-02-20,1883.73 +2640581,1996-02-09,1882.54 +3242407,1996-02-24,1874.72 +1641634,1996-02-09,1868.43 +3155494,1996-02-28,1867.5 +1320290,1996-02-23,1854.7 +589735,1996-02-05,1815.87 +3417346,1996-02-22,1781.94 +2223266,1996-02-07,1780.05 +1290371,1996-02-21,1735.93 +2840711,1996-02-24,1690.4 +3149380,1996-02-22,1689.58 +2123424,1996-02-11,1682.42 +3600867,1996-02-07,1665.05 +5482885,1996-02-09,1649.09 +918978,1996-02-03,1633.38 +489600,1996-02-05,1597.02 +2422183,1996-02-04,1594.35 +2661794,1996-02-15,1589.89 +3872834,1996-02-19,1580.16 +2907330,1996-02-07,1571.98 +4667586,1996-02-23,1570.35 +4321829,1996-02-02,1546.68 +5032802,1996-02-03,1546.38 +2677729,1996-02-01,1484.86 +3060710,1996-02-21,1465.36 +2238789,1996-02-08,1457.93 +2160803,1996-02-14,1451.82 +3724162,1996-02-12,1451.12 +1334406,1996-02-26,1449.55 +4800771,1996-02-04,1426.29 +159745,1996-02-10,1424.88 +1971173,1996-02-22,1416.91 +5319175,1996-02-22,1402.91 +2644579,1996-02-21,1384.97 +739907,1996-02-14,1327.98 +361697,1996-02-28,1296.74 +5062949,1996-02-29,1248.42 +2182470,1996-02-15,1220.41 +3787174,1996-02-06,1170.04 +5337766,1996-02-20,1119.48 +3732967,1996-02-17,1116.31 +3599271,1996-02-26,1077.86 +3753634,1996-02-24,1064.13 +3080519,1996-02-07,977.02 +1130592,1996-02-25,969.48 +4659585,1996-02-04,930.11 diff --git a/tasks/readable/024/gold_csv/GQRY-A.1.csv b/tasks/readable/024/gold_csv/GQRY-A.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..15a920c6b3b4abc33477e47aff16bdc88afe21e0 --- /dev/null +++ b/tasks/readable/024/gold_csv/GQRY-A.1.csv @@ -0,0 +1 @@ +o_orderkey,o_orderdate,num_lineitems diff --git a/tasks/readable/024/gold_csv/GQRY-A.2.csv b/tasks/readable/024/gold_csv/GQRY-A.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..9c11558e8a2b57c480f8b4a550ea0bab1ec205fd --- /dev/null +++ b/tasks/readable/024/gold_csv/GQRY-A.2.csv @@ -0,0 +1,68 @@ +o_orderkey,o_orderdate,total_quantity +5494980,1996-02-27,304 +304644,1996-02-25,298 +1061504,1996-02-16,298 +2223461,1996-02-16,297 +3093796,1996-02-02,297 +504642,1996-02-28,292 +5219586,1996-02-05,288 +3899781,1996-02-08,287 +2613350,1996-02-13,286 +2024675,1996-02-26,283 +4177955,1996-02-18,279 +3316387,1996-02-13,278 +5282758,1996-02-08,277 +670467,1996-02-01,276 +64900,1996-02-27,275 +850689,1996-02-18,274 +3892065,1996-02-15,274 +2143936,1996-02-18,272 +288642,1996-02-07,269 +3963746,1996-02-14,269 +4142562,1996-02-04,269 +1473857,1996-02-07,267 +5986529,1996-02-02,266 +3656359,1996-02-12,265 +2602853,1996-02-05,264 +5820993,1996-02-01,264 +1443104,1996-02-17,263 +1677540,1996-02-26,263 +3280800,1996-02-22,263 +4325606,1996-02-25,263 +421734,1996-02-09,262 +3709409,1996-02-10,262 +3933793,1996-02-12,262 +4663137,1996-02-16,262 +1522627,1996-02-17,261 +4569474,1996-02-29,260 +4643589,1996-02-18,260 +4681921,1996-02-05,260 +90150,1996-02-27,259 +2396647,1996-02-01,259 +3859489,1996-02-12,259 +5034726,1996-02-24,259 +1306788,1996-02-22,258 +2651975,1996-02-20,258 +3225697,1996-02-15,258 +3389633,1996-02-11,258 +5650304,1996-02-19,258 +4636832,1996-02-28,257 +5502979,1996-02-02,257 +685763,1996-02-26,256 +2300070,1996-02-10,254 +2500103,1996-02-16,254 +4014465,1996-02-25,254 +4955846,1996-02-21,254 +211814,1996-02-02,253 +1079936,1996-02-18,253 +1210757,1996-02-27,253 +1461254,1996-02-24,253 +2049478,1996-02-11,253 +3254725,1996-02-22,253 +371271,1996-02-25,252 +1576674,1996-02-05,252 +3193316,1996-02-10,252 +5412101,1996-02-04,252 +1586627,1996-02-02,251 +2658657,1996-02-15,251 +4993253,1996-02-09,251 diff --git a/tasks/readable/024/task_readable.sql b/tasks/readable/024/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..59ae820408774fea74721d7fcb6766a092adfefb --- /dev/null +++ b/tasks/readable/024/task_readable.sql @@ -0,0 +1,188 @@ +/* +{ + "qid": "024", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "retails", + "question": "Show large orders placed in February 1996.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "large orders", + "type": "finite", + "ambiguity_type": "semantic_computation", + "interpretations": [ + "orders with high total price", + "orders with large number of line items", + "orders with large total quantity of parts" + ], + "intended_interpretation_idx": 0 + }, + { + "id": "B", + "phrase": "large orders", + "type": "infinite", + "ambiguity_type": "semantic_value", + "parameter_name": "large_threshold", + "parameter_dtype": "int", + "parameter_sample_operators": [ + ">", + ">=" + ], + "parameter_sample_values": [ + 250 + ], + "intended_parameter_operator": ">", + "intended_parameter_value": 250 + } + ], + "gold_intended_query_id": "GQRY-A.0", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0` ----- +/* +{ + "id": "GQRY-A.0", + "parameter_names": [ + "large_threshold" + ], + "parameter_values": { + "large_threshold": 250 + }, + "other_exec_results": [], + "required_columns": [ + 0 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] large orders": "orders with high total price", + "[B] large orders": ":large_threshold" + } + } +} +*/ +WITH feb_orders AS ( +SELECT o_orderkey, o_orderdate, o_totalprice +FROM orders +WHERE o_orderdate >= '1996-02-01' +AND o_orderdate < '1996-03-01' +) +SELECT o_orderkey, o_orderdate, o_totalprice +FROM feb_orders +WHERE o_totalprice > :large_threshold +ORDER BY o_totalprice DESC; +/* EXEC RESULT + o_orderkey o_orderdate o_totalprice + 504642 1996-02-28 496726.35 + 3899781 1996-02-08 484817.17 + 3093796 1996-02-02 470846.96 + 2223461 1996-02-16 468971.22 + 64900 1996-02-27 457183.27 +... TRUNCATED ... + 3599271 1996-02-26 1077.86 + 3753634 1996-02-24 1064.13 + 3080519 1996-02-07 977.02 + 1130592 1996-02-25 969.48 + 4659585 1996-02-04 930.11 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1` ----- +/* +{ + "id": "GQRY-A.1", + "parameter_names": [ + "large_threshold" + ], + "parameter_values": { + "large_threshold": 250 + }, + "other_exec_results": [], + "required_columns": [ + 0 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] large orders": "orders with large number of line items", + "[B] large orders": ":large_threshold" + } + } +} +*/ +WITH feb_orders_lineitem_count AS ( +SELECT o.o_orderkey, o_orderdate, COUNT(*) AS num_lineitems +FROM orders o +JOIN lineitem l ON o.o_orderkey = l.l_orderkey +WHERE o.o_orderdate >= '1996-02-01' +AND o.o_orderdate < '1996-03-01' +GROUP BY o.o_orderkey, o.o_orderdate +) +SELECT o_orderkey, o_orderdate, num_lineitems +FROM feb_orders_lineitem_count +WHERE num_lineitems > :large_threshold +ORDER BY num_lineitems DESC; +/* EXEC RESULT +Empty DataFrame +Columns: [o_orderkey, o_orderdate, num_lineitems] +Index: [] +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.2` ----- +/* +{ + "id": "GQRY-A.2", + "parameter_names": [ + "large_threshold" + ], + "parameter_values": { + "large_threshold": 250 + }, + "other_exec_results": [], + "required_columns": [ + 0 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] large orders": "orders with large total quantity of parts", + "[B] large orders": ":large_threshold" + } + } +} +*/ +WITH feb_orders_quantity AS ( +SELECT o.o_orderkey, o.o_orderdate, SUM(l.l_quantity) AS total_quantity +FROM orders o +JOIN lineitem l ON o.o_orderkey = l.l_orderkey +WHERE o.o_orderdate >= '1996-02-01' +AND o.o_orderdate < '1996-03-01' +GROUP BY o.o_orderkey, o.o_orderdate +) +SELECT o_orderkey, o_orderdate, total_quantity +FROM feb_orders_quantity +WHERE total_quantity > :large_threshold +ORDER BY total_quantity DESC; +/* EXEC RESULT + o_orderkey o_orderdate total_quantity + 5494980 1996-02-27 304 + 304644 1996-02-25 298 + 1061504 1996-02-16 298 + 2223461 1996-02-16 297 + 3093796 1996-02-02 297 +... TRUNCATED ... + 3193316 1996-02-10 252 + 5412101 1996-02-04 252 + 1586627 1996-02-02 251 + 2658657 1996-02-15 251 + 4993253 1996-02-09 251 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/025/gold_csv/GQRY-B.0-C.0-D.0.csv b/tasks/readable/025/gold_csv/GQRY-B.0-C.0-D.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..1989a68cae96ce28e2d13a347bee69c48f91bff6 --- /dev/null +++ b/tasks/readable/025/gold_csv/GQRY-B.0-C.0-D.0.csv @@ -0,0 +1,16 @@ +p_mfgr,p_partkey,p_name,revenue +Manufacturer#1,192229,beige mint lavender light mint,350123.3 +Manufacturer#1,37637,powder papaya azure blush gainsboro,341694.70999999996 +Manufacturer#1,199745,azure black firebrick green rosy,332053.20000000007 +Manufacturer#2,108984,linen chocolate sky misty linen,370694.28 +Manufacturer#2,896,ivory thistle wheat lavender bisque,345002.88 +Manufacturer#2,178779,pale peach cream orchid pale,334398.60000000003 +Manufacturer#3,62925,azure puff navy olive sky,402126.96 +Manufacturer#3,192905,honeydew orchid dodger floral royal,385594.7 +Manufacturer#3,151855,wheat goldenrod ghost floral brown,364208.35000000003 +Manufacturer#4,76992,slate medium powder antique goldenrod,354418.19999999995 +Manufacturer#4,185839,powder ghost sienna magenta wheat,338770.0800000001 +Manufacturer#4,186960,lemon blanched turquoise blush brown,335701.44 +Manufacturer#5,97943,burnished lawn tomato magenta turquoise,399833.64 +Manufacturer#5,150952,slate tomato bisque linen orange,372548.7 +Manufacturer#5,169945,antique thistle salmon steel indian,354629.43999999994 diff --git a/tasks/readable/025/gold_csv/GQRY-B.0-C.0-D.1.csv b/tasks/readable/025/gold_csv/GQRY-B.0-C.0-D.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..4be730ad571da0d4a25591b5bb9f5bdc9d1bef0c --- /dev/null +++ b/tasks/readable/025/gold_csv/GQRY-B.0-C.0-D.1.csv @@ -0,0 +1,16 @@ +p_mfgr,p_partkey,p_name,revenue +Manufacturer#1,160951,moccasin steel antique sandy khaki,840995.1 +Manufacturer#1,149934,red seashell peach khaki pink,783652.3500000001 +Manufacturer#1,100881,honeydew lawn tan chiffon beige,760279.52 +Manufacturer#2,195884,linen blush puff magenta drab,766213.56 +Manufacturer#2,198977,white coral gainsboro peach almond,763956.96 +Manufacturer#2,20932,tan burlywood olive medium puff,755995.4400000001 +Manufacturer#3,84931,midnight saddle sky yellow steel,741464.9100000001 +Manufacturer#3,75827,floral plum mint wheat plum,733747.7400000001 +Manufacturer#3,30978,tomato midnight frosted orange turquoise,713954.7799999999 +Manufacturer#4,111733,forest sandy coral ivory orange,764191.7399999999 +Manufacturer#4,140827,deep magenta turquoise deep snow,750863.6400000001 +Manufacturer#4,148722,aquamarine coral chocolate powder olive,745473.1199999999 +Manufacturer#5,185993,red rose aquamarine drab navajo,829517.01 +Manufacturer#5,114816,plum firebrick smoke tan wheat,767109.39 +Manufacturer#5,122952,floral violet azure sky drab,754430.9000000001 diff --git a/tasks/readable/025/gold_csv/GQRY-B.0-C.1-D.0.csv b/tasks/readable/025/gold_csv/GQRY-B.0-C.1-D.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..b08a15852609845111ce68026a251ba30339d9a2 --- /dev/null +++ b/tasks/readable/025/gold_csv/GQRY-B.0-C.1-D.0.csv @@ -0,0 +1,16 @@ +p_mfgr,p_partkey,p_name,revenue +Manufacturer#1,199745,azure black firebrick green rosy,322829.5 +Manufacturer#1,198829,navy coral spring cornflower saddle,306523.38 +Manufacturer#1,91996,orange orchid tan misty tomato,304162.47 +Manufacturer#2,148803,burlywood light salmon green yellow,333324.0 +Manufacturer#2,172702,orchid aquamarine chocolate dodger plum,315896.6 +Manufacturer#2,158767,cornflower cyan blue smoke cyan,312204.95999999996 +Manufacturer#3,151855,wheat goldenrod ghost floral brown,364208.35000000003 +Manufacturer#3,96923,snow dark pale smoke green,320626.64 +Manufacturer#3,62925,azure puff navy olive sky,315282.64 +Manufacturer#4,186960,lemon blanched turquoise blush brown,335701.44 +Manufacturer#4,153894,thistle midnight maroon papaya pink,319453.95999999996 +Manufacturer#4,197935,orchid chiffon medium puff purple,309005.36000000004 +Manufacturer#5,97943,burnished lawn tomato magenta turquoise,399833.64 +Manufacturer#5,150952,slate tomato bisque linen orange,372548.7 +Manufacturer#5,169945,antique thistle salmon steel indian,354629.43999999994 diff --git a/tasks/readable/025/gold_csv/GQRY-B.0-C.1-D.1.csv b/tasks/readable/025/gold_csv/GQRY-B.0-C.1-D.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..a75a5124b61a52e4b2bddea0f8a641064c0f6f0e --- /dev/null +++ b/tasks/readable/025/gold_csv/GQRY-B.0-C.1-D.1.csv @@ -0,0 +1,16 @@ +p_mfgr,p_partkey,p_name,revenue +Manufacturer#1,160951,moccasin steel antique sandy khaki,768564.9 +Manufacturer#1,67905,almond gainsboro honeydew burlywood cornsilk,711702.0 +Manufacturer#1,149934,red seashell peach khaki pink,710246.9400000001 +Manufacturer#2,20932,tan burlywood olive medium puff,724495.63 +Manufacturer#2,119838,sienna ghost yellow cornflower cream,696686.25 +Manufacturer#2,129955,navajo orange snow antique misty,659003.4 +Manufacturer#3,91741,lawn medium forest almond snow,686165.04 +Manufacturer#3,84931,midnight saddle sky yellow steel,672491.43 +Manufacturer#3,30978,tomato midnight frosted orange turquoise,649049.7999999999 +Manufacturer#4,121930,orange powder burlywood mint dark,735877.6100000001 +Manufacturer#4,111733,forest sandy coral ivory orange,724062.95 +Manufacturer#4,140827,deep magenta turquoise deep snow,720978.52 +Manufacturer#5,185993,red rose aquamarine drab navajo,821201.05 +Manufacturer#5,122952,floral violet azure sky drab,754430.9000000001 +Manufacturer#5,142896,spring indian gainsboro peach yellow,750350.43 diff --git a/tasks/readable/025/gold_csv/GQRY-B.1-C.0-D.0.csv b/tasks/readable/025/gold_csv/GQRY-B.1-C.0-D.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..63e5a6c807cf5e84d5392bdc2554fdaabc0b129a --- /dev/null +++ b/tasks/readable/025/gold_csv/GQRY-B.1-C.0-D.0.csv @@ -0,0 +1,16 @@ +p_mfgr,p_partkey,p_name,revenue +Manufacturer#1,192229,beige mint lavender light mint,335233.1506 +Manufacturer#1,37637,powder papaya azure blush gainsboro,328483.5643 +Manufacturer#1,199745,azure black firebrick green rosy,321113.8918 +Manufacturer#2,108984,linen chocolate sky misty linen,347874.659 +Manufacturer#2,896,ivory thistle wheat lavender bisque,317636.2453 +Manufacturer#2,178779,pale peach cream orchid pale,312718.42409999995 +Manufacturer#3,62925,azure puff navy olive sky,380434.7592 +Manufacturer#3,192905,honeydew orchid dodger floral royal,366354.923 +Manufacturer#3,151855,wheat goldenrod ghost floral brown,343499.95900000003 +Manufacturer#4,76992,slate medium powder antique goldenrod,337878.684 +Manufacturer#4,185839,powder ghost sienna magenta wheat,321639.093 +Manufacturer#4,186960,lemon blanched turquoise blush brown,312304.68720000004 +Manufacturer#5,97943,burnished lawn tomato magenta turquoise,370350.7614 +Manufacturer#5,150952,slate tomato bisque linen orange,349254.39149999997 +Manufacturer#5,169945,antique thistle salmon steel indian,343144.28199999995 diff --git a/tasks/readable/025/gold_csv/GQRY-B.1-C.0-D.1.csv b/tasks/readable/025/gold_csv/GQRY-B.1-C.0-D.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..6b577ee0445a7a4726826a74f6f95c77d9522ac8 --- /dev/null +++ b/tasks/readable/025/gold_csv/GQRY-B.1-C.0-D.1.csv @@ -0,0 +1,16 @@ +p_mfgr,p_partkey,p_name,revenue +Manufacturer#1,160951,moccasin steel antique sandy khaki,801460.2825 +Manufacturer#1,149934,red seashell peach khaki pink,732764.5455 +Manufacturer#1,100881,honeydew lawn tan chiffon beige,731355.0244 +Manufacturer#2,198977,white coral gainsboro peach almond,733004.2473 +Manufacturer#2,195884,linen blush puff magenta drab,731704.2516000001 +Manufacturer#2,20932,tan burlywood olive medium puff,725514.7415 +Manufacturer#3,84931,midnight saddle sky yellow steel,707552.9489999999 +Manufacturer#3,75827,floral plum mint wheat plum,707462.6244 +Manufacturer#3,30978,tomato midnight frosted orange turquoise,696029.5517 +Manufacturer#4,111733,forest sandy coral ivory orange,725144.6826000001 +Manufacturer#4,140827,deep magenta turquoise deep snow,710163.8422000001 +Manufacturer#4,148722,aquamarine coral chocolate powder olive,707898.4416000001 +Manufacturer#5,185993,red rose aquamarine drab navajo,777064.0923 +Manufacturer#5,114816,plum firebrick smoke tan wheat,733111.2483000001 +Manufacturer#5,122952,floral violet azure sky drab,721113.4935 diff --git a/tasks/readable/025/gold_csv/GQRY-B.1-C.1-D.0.csv b/tasks/readable/025/gold_csv/GQRY-B.1-C.1-D.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..8e0b8b1b8d3a92e701a40f8138565a8e9a13c04f --- /dev/null +++ b/tasks/readable/025/gold_csv/GQRY-B.1-C.1-D.0.csv @@ -0,0 +1,16 @@ +p_mfgr,p_partkey,p_name,revenue +Manufacturer#1,199745,azure black firebrick green rosy,312535.85079999996 +Manufacturer#1,91996,orange orchid tan misty tomato,292174.8903 +Manufacturer#1,198829,navy coral spring cornflower saddle,287322.29280000005 +Manufacturer#2,148803,burlywood light salmon green yellow,318398.492 +Manufacturer#2,158767,cornflower cyan blue smoke cyan,297617.1376 +Manufacturer#2,172702,orchid aquamarine chocolate dodger plum,295221.345 +Manufacturer#3,151855,wheat goldenrod ghost floral brown,343499.95900000003 +Manufacturer#3,96923,snow dark pale smoke green,308339.152 +Manufacturer#3,62925,azure puff navy olive sky,300141.5216 +Manufacturer#4,186960,lemon blanched turquoise blush brown,312304.68720000004 +Manufacturer#4,153894,thistle midnight maroon papaya pink,307182.25299999997 +Manufacturer#4,197935,orchid chiffon medium puff purple,291156.23459999997 +Manufacturer#5,97943,burnished lawn tomato magenta turquoise,370350.7614 +Manufacturer#5,150952,slate tomato bisque linen orange,349254.39149999997 +Manufacturer#5,169945,antique thistle salmon steel indian,343144.28199999995 diff --git a/tasks/readable/025/gold_csv/GQRY-B.1-C.1-D.1.csv b/tasks/readable/025/gold_csv/GQRY-B.1-C.1-D.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..d7b87b5749b7ed55eed7e1acae25bb7630cd1b4b --- /dev/null +++ b/tasks/readable/025/gold_csv/GQRY-B.1-C.1-D.1.csv @@ -0,0 +1,16 @@ +p_mfgr,p_partkey,p_name,revenue +Manufacturer#1,160951,moccasin steel antique sandy khaki,736273.1024999999 +Manufacturer#1,149934,red seashell peach khaki pink,666699.6765000001 +Manufacturer#1,67905,almond gainsboro honeydew burlywood cornsilk,660272.166 +Manufacturer#2,20932,tan burlywood olive medium puff,696534.9163 +Manufacturer#2,119838,sienna ghost yellow cornflower cream,663040.9487000001 +Manufacturer#2,129955,navajo orange snow antique misty,610014.8340000001 +Manufacturer#3,91741,lawn medium forest almond snow,655876.7448 +Manufacturer#3,84931,midnight saddle sky yellow steel,641012.7000999999 +Manufacturer#3,30978,tomato midnight frosted orange turquoise,633224.4386999999 +Manufacturer#4,121930,orange powder burlywood mint dark,705603.1757000001 +Manufacturer#4,111733,forest sandy coral ivory orange,687423.62 +Manufacturer#4,140827,deep magenta turquoise deep snow,681474.1270000001 +Manufacturer#5,185993,red rose aquamarine drab navajo,769163.9303 +Manufacturer#5,122952,floral violet azure sky drab,721113.4935 +Manufacturer#5,142896,spring indian gainsboro peach yellow,712231.8526 diff --git a/tasks/readable/025/task_readable.sql b/tasks/readable/025/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..db78c1868571d7e27425994fcf3e9dc62e85ec25 --- /dev/null +++ b/tasks/readable/025/task_readable.sql @@ -0,0 +1,576 @@ +/* +{ + "qid": "025", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "retails", + "question": "For each manufacturer, find top N products with highest revenue from sales in America. Return the manufacturer, product, and revenue.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "top N", + "type": "infinite", + "ambiguity_type": "semantic_value", + "parameter_name": "top_n", + "parameter_dtype": "int", + "parameter_sample_operators": [ + "<", + "<=" + ], + "parameter_sample_values": [ + 3 + ], + "intended_parameter_operator": "<=", + "intended_parameter_value": 3 + }, + { + "id": "B", + "phrase": "highest revenue", + "type": "finite", + "ambiguity_type": "semantic_computation", + "interpretations": [ + "before discount (Gross revenue)", + "after discount (Net revenue)" + ], + "intended_interpretation_idx": 0 + }, + { + "id": "C", + "phrase": "highest revenue", + "type": "finite", + "ambiguity_type": "semantic_computation", + "interpretations": [ + "include returned items", + "exclude returned items" + ], + "intended_interpretation_idx": 0 + }, + { + "id": "D", + "phrase": "America", + "type": "finite", + "ambiguity_type": "semantic_table", + "interpretations": [ + "United States (country)", + "Americas (region)" + ], + "intended_interpretation_idx": 0 + } + ], + "gold_intended_query_id": "GQRY-B.0-C.0-D.0", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-B.0-C.0-D.0` ----- +/* +{ + "id": "GQRY-B.0-C.0-D.0", + "parameter_names": [ + "top_n" + ], + "parameter_values": { + "top_n": 3 + }, + "other_exec_results": [], + "required_columns": [ + 0, + 2, + 3 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] highest revenue": "before discount (Gross revenue)", + "[B] highest revenue": "include returned items", + "[C] America": "United States (country)", + "[D] top N": ":top_n" + } + } +} +*/ +WITH america_revenue AS ( +SELECT +p.p_mfgr, +p.p_partkey, +p.p_name, +SUM(l.l_extendedprice) AS revenue, +RANK() OVER (PARTITION BY p.p_mfgr ORDER BY SUM(l.l_extendedprice) DESC) AS rn +FROM lineitem l +JOIN part p ON l.l_partkey = p.p_partkey +JOIN orders o ON l.l_orderkey = o.o_orderkey +JOIN customer c ON o.o_custkey = c.c_custkey +JOIN nation n ON c.c_nationkey = n.n_nationkey +WHERE n.n_name = 'UNITED STATES' +GROUP BY p.p_mfgr, p.p_partkey, p.p_name +) +SELECT p_mfgr, p_partkey, p_name, revenue +FROM america_revenue +WHERE rn <= :top_n +ORDER BY p_mfgr, revenue DESC; +/* EXEC RESULT + p_mfgr p_partkey p_name revenue +Manufacturer#1 192229 beige mint lavender light mint 350123.30 +Manufacturer#1 37637 powder papaya azure blush gainsboro 341694.71 +Manufacturer#1 199745 azure black firebrick green rosy 332053.20 +Manufacturer#2 108984 linen chocolate sky misty linen 370694.28 +Manufacturer#2 896 ivory thistle wheat lavender bisque 345002.88 +... TRUNCATED ... +Manufacturer#4 185839 powder ghost sienna magenta wheat 338770.08 +Manufacturer#4 186960 lemon blanched turquoise blush brown 335701.44 +Manufacturer#5 97943 burnished lawn tomato magenta turquoise 399833.64 +Manufacturer#5 150952 slate tomato bisque linen orange 372548.70 +Manufacturer#5 169945 antique thistle salmon steel indian 354629.44 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-B.0-C.0-D.1` ----- +/* +{ + "id": "GQRY-B.0-C.0-D.1", + "parameter_names": [ + "top_n" + ], + "parameter_values": { + "top_n": 3 + }, + "other_exec_results": [], + "required_columns": [ + 0, + 2, + 3 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] highest revenue": "before discount (Gross revenue)", + "[B] highest revenue": "include returned items", + "[C] America": "Americas (region)", + "[D] top N": ":top_n" + } + } +} +*/ +WITH america_revenue AS ( +SELECT +p.p_mfgr, +p.p_partkey, +p.p_name, +SUM(l.l_extendedprice) AS revenue, +RANK() OVER (PARTITION BY p.p_mfgr ORDER BY SUM(l.l_extendedprice) DESC) AS rn +FROM lineitem l +JOIN part p ON l.l_partkey = p.p_partkey +JOIN orders o ON l.l_orderkey = o.o_orderkey +JOIN customer c ON o.o_custkey = c.c_custkey +JOIN nation n ON c.c_nationkey = n.n_nationkey +JOIN region r ON n.n_regionkey = r.r_regionkey +WHERE r.r_name = 'AMERICA' +GROUP BY p.p_mfgr, p.p_partkey, p.p_name +) +SELECT p_mfgr, p_partkey, p_name, revenue +FROM america_revenue +WHERE rn <= :top_n +ORDER BY p_mfgr, revenue DESC; +/* EXEC RESULT + p_mfgr p_partkey p_name revenue +Manufacturer#1 160951 moccasin steel antique sandy khaki 840995.10 +Manufacturer#1 149934 red seashell peach khaki pink 783652.35 +Manufacturer#1 100881 honeydew lawn tan chiffon beige 760279.52 +Manufacturer#2 195884 linen blush puff magenta drab 766213.56 +Manufacturer#2 198977 white coral gainsboro peach almond 763956.96 +... TRUNCATED ... +Manufacturer#4 140827 deep magenta turquoise deep snow 750863.64 +Manufacturer#4 148722 aquamarine coral chocolate powder olive 745473.12 +Manufacturer#5 185993 red rose aquamarine drab navajo 829517.01 +Manufacturer#5 114816 plum firebrick smoke tan wheat 767109.39 +Manufacturer#5 122952 floral violet azure sky drab 754430.90 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-B.0-C.1-D.0` ----- +/* +{ + "id": "GQRY-B.0-C.1-D.0", + "parameter_names": [ + "top_n" + ], + "parameter_values": { + "top_n": 3 + }, + "other_exec_results": [], + "required_columns": [ + 0, + 2, + 3 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] highest revenue": "before discount (Gross revenue)", + "[B] highest revenue": "exclude returned items", + "[C] America": "United States (country)", + "[D] top N": ":top_n" + } + } +} +*/ +WITH america_revenue AS ( +SELECT +p.p_mfgr, +p.p_partkey, +p.p_name, +SUM(l.l_extendedprice) AS revenue, +RANK() OVER (PARTITION BY p.p_mfgr ORDER BY SUM(l.l_extendedprice) DESC) AS rn +FROM lineitem l +JOIN part p ON l.l_partkey = p.p_partkey +JOIN orders o ON l.l_orderkey = o.o_orderkey +JOIN customer c ON o.o_custkey = c.c_custkey +JOIN nation n ON c.c_nationkey = n.n_nationkey +WHERE n.n_name = 'UNITED STATES' +AND l.l_returnflag <> 'R' +GROUP BY p.p_mfgr, p.p_partkey, p.p_name +) +SELECT p_mfgr, p_partkey, p_name, revenue +FROM america_revenue +WHERE rn <= :top_n +ORDER BY p_mfgr, revenue DESC; +/* EXEC RESULT + p_mfgr p_partkey p_name revenue +Manufacturer#1 199745 azure black firebrick green rosy 322829.50 +Manufacturer#1 198829 navy coral spring cornflower saddle 306523.38 +Manufacturer#1 91996 orange orchid tan misty tomato 304162.47 +Manufacturer#2 148803 burlywood light salmon green yellow 333324.00 +Manufacturer#2 172702 orchid aquamarine chocolate dodger plum 315896.60 +... TRUNCATED ... +Manufacturer#4 153894 thistle midnight maroon papaya pink 319453.96 +Manufacturer#4 197935 orchid chiffon medium puff purple 309005.36 +Manufacturer#5 97943 burnished lawn tomato magenta turquoise 399833.64 +Manufacturer#5 150952 slate tomato bisque linen orange 372548.70 +Manufacturer#5 169945 antique thistle salmon steel indian 354629.44 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-B.0-C.1-D.1` ----- +/* +{ + "id": "GQRY-B.0-C.1-D.1", + "parameter_names": [ + "top_n" + ], + "parameter_values": { + "top_n": 3 + }, + "other_exec_results": [], + "required_columns": [ + 0, + 2, + 3 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] highest revenue": "before discount (Gross revenue)", + "[B] highest revenue": "exclude returned items", + "[C] America": "Americas (region)", + "[D] top N": ":top_n" + } + } +} +*/ +WITH america_revenue AS ( +SELECT +p.p_mfgr, +p.p_partkey, +p.p_name, +SUM(l.l_extendedprice) AS revenue, +RANK() OVER (PARTITION BY p.p_mfgr ORDER BY SUM(l.l_extendedprice) DESC) AS rn +FROM lineitem l +JOIN part p ON l.l_partkey = p.p_partkey +JOIN orders o ON l.l_orderkey = o.o_orderkey +JOIN customer c ON o.o_custkey = c.c_custkey +JOIN nation n ON c.c_nationkey = n.n_nationkey +JOIN region r ON n.n_regionkey = r.r_regionkey +WHERE r.r_name = 'AMERICA' +AND l.l_returnflag <> 'R' +GROUP BY p.p_mfgr, p.p_partkey, p.p_name +) +SELECT p_mfgr, p_partkey, p_name, revenue +FROM america_revenue +WHERE rn <= :top_n +ORDER BY p_mfgr, revenue DESC; +/* EXEC RESULT + p_mfgr p_partkey p_name revenue +Manufacturer#1 160951 moccasin steel antique sandy khaki 768564.90 +Manufacturer#1 67905 almond gainsboro honeydew burlywood cornsilk 711702.00 +Manufacturer#1 149934 red seashell peach khaki pink 710246.94 +Manufacturer#2 20932 tan burlywood olive medium puff 724495.63 +Manufacturer#2 119838 sienna ghost yellow cornflower cream 696686.25 +... TRUNCATED ... +Manufacturer#4 111733 forest sandy coral ivory orange 724062.95 +Manufacturer#4 140827 deep magenta turquoise deep snow 720978.52 +Manufacturer#5 185993 red rose aquamarine drab navajo 821201.05 +Manufacturer#5 122952 floral violet azure sky drab 754430.90 +Manufacturer#5 142896 spring indian gainsboro peach yellow 750350.43 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-B.1-C.0-D.0` ----- +/* +{ + "id": "GQRY-B.1-C.0-D.0", + "parameter_names": [ + "top_n" + ], + "parameter_values": { + "top_n": 3 + }, + "other_exec_results": [], + "required_columns": [ + 0, + 2, + 3 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] highest revenue": "after discount (Net revenue)", + "[B] highest revenue": "include returned items", + "[C] America": "United States (country)", + "[D] top N": ":top_n" + } + } +} +*/ +WITH america_revenue AS ( +SELECT +p.p_mfgr, +p.p_partkey, +p.p_name, +SUM(l.l_extendedprice * (1 - l.l_discount)) AS revenue, +RANK() OVER (PARTITION BY p.p_mfgr ORDER BY SUM(l.l_extendedprice) DESC) AS rn +FROM lineitem l +JOIN part p ON l.l_partkey = p.p_partkey +JOIN orders o ON l.l_orderkey = o.o_orderkey +JOIN customer c ON o.o_custkey = c.c_custkey +JOIN nation n ON c.c_nationkey = n.n_nationkey +WHERE n.n_name = 'UNITED STATES' +GROUP BY p.p_mfgr, p.p_partkey, p.p_name +) +SELECT p_mfgr, p_partkey, p_name, revenue +FROM america_revenue +WHERE rn <= :top_n +ORDER BY p_mfgr, revenue DESC; +/* EXEC RESULT + p_mfgr p_partkey p_name revenue +Manufacturer#1 192229 beige mint lavender light mint 335233.1506 +Manufacturer#1 37637 powder papaya azure blush gainsboro 328483.5643 +Manufacturer#1 199745 azure black firebrick green rosy 321113.8918 +Manufacturer#2 108984 linen chocolate sky misty linen 347874.6590 +Manufacturer#2 896 ivory thistle wheat lavender bisque 317636.2453 +... TRUNCATED ... +Manufacturer#4 185839 powder ghost sienna magenta wheat 321639.0930 +Manufacturer#4 186960 lemon blanched turquoise blush brown 312304.6872 +Manufacturer#5 97943 burnished lawn tomato magenta turquoise 370350.7614 +Manufacturer#5 150952 slate tomato bisque linen orange 349254.3915 +Manufacturer#5 169945 antique thistle salmon steel indian 343144.2820 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-B.1-C.0-D.1` ----- +/* +{ + "id": "GQRY-B.1-C.0-D.1", + "parameter_names": [ + "top_n" + ], + "parameter_values": { + "top_n": 3 + }, + "other_exec_results": [], + "required_columns": [ + 0, + 2, + 3 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] highest revenue": "after discount (Net revenue)", + "[B] highest revenue": "include returned items", + "[C] America": "Americas (region)", + "[D] top N": ":top_n" + } + } +} +*/ +WITH america_revenue AS ( +SELECT +p.p_mfgr, +p.p_partkey, +p.p_name, +SUM(l.l_extendedprice * (1 - l.l_discount)) AS revenue, +RANK() OVER (PARTITION BY p.p_mfgr ORDER BY SUM(l.l_extendedprice) DESC) AS rn +FROM lineitem l +JOIN part p ON l.l_partkey = p.p_partkey +JOIN orders o ON l.l_orderkey = o.o_orderkey +JOIN customer c ON o.o_custkey = c.c_custkey +JOIN nation n ON c.c_nationkey = n.n_nationkey +JOIN region r ON n.n_regionkey = r.r_regionkey +WHERE r.r_name = 'AMERICA' +GROUP BY p.p_mfgr, p.p_partkey, p.p_name +) +SELECT p_mfgr, p_partkey, p_name, revenue +FROM america_revenue +WHERE rn <= :top_n +ORDER BY p_mfgr, revenue DESC; +/* EXEC RESULT + p_mfgr p_partkey p_name revenue +Manufacturer#1 160951 moccasin steel antique sandy khaki 801460.2825 +Manufacturer#1 149934 red seashell peach khaki pink 732764.5455 +Manufacturer#1 100881 honeydew lawn tan chiffon beige 731355.0244 +Manufacturer#2 198977 white coral gainsboro peach almond 733004.2473 +Manufacturer#2 195884 linen blush puff magenta drab 731704.2516 +... TRUNCATED ... +Manufacturer#4 140827 deep magenta turquoise deep snow 710163.8422 +Manufacturer#4 148722 aquamarine coral chocolate powder olive 707898.4416 +Manufacturer#5 185993 red rose aquamarine drab navajo 777064.0923 +Manufacturer#5 114816 plum firebrick smoke tan wheat 733111.2483 +Manufacturer#5 122952 floral violet azure sky drab 721113.4935 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-B.1-C.1-D.0` ----- +/* +{ + "id": "GQRY-B.1-C.1-D.0", + "parameter_names": [ + "top_n" + ], + "parameter_values": { + "top_n": 3 + }, + "other_exec_results": [], + "required_columns": [ + 0, + 2, + 3 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] highest revenue": "after discount (Net revenue)", + "[B] highest revenue": "exclude returned items", + "[C] America": "United States (country)", + "[D] top N": ":top_n" + } + } +} +*/ +WITH america_revenue AS ( +SELECT +p.p_mfgr, +p.p_partkey, +p.p_name, +SUM(l.l_extendedprice * (1 - l.l_discount)) AS revenue, +RANK() OVER (PARTITION BY p.p_mfgr ORDER BY SUM(l.l_extendedprice) DESC) AS rn +FROM lineitem l +JOIN part p ON l.l_partkey = p.p_partkey +JOIN orders o ON l.l_orderkey = o.o_orderkey +JOIN customer c ON o.o_custkey = c.c_custkey +JOIN nation n ON c.c_nationkey = n.n_nationkey +WHERE n.n_name = 'UNITED STATES' +AND l.l_returnflag <> 'R' +GROUP BY p.p_mfgr, p.p_partkey, p.p_name +) +SELECT p_mfgr, p_partkey, p_name, revenue +FROM america_revenue +WHERE rn <= :top_n +ORDER BY p_mfgr, revenue DESC; +/* EXEC RESULT + p_mfgr p_partkey p_name revenue +Manufacturer#1 199745 azure black firebrick green rosy 312535.8508 +Manufacturer#1 91996 orange orchid tan misty tomato 292174.8903 +Manufacturer#1 198829 navy coral spring cornflower saddle 287322.2928 +Manufacturer#2 148803 burlywood light salmon green yellow 318398.4920 +Manufacturer#2 158767 cornflower cyan blue smoke cyan 297617.1376 +... TRUNCATED ... +Manufacturer#4 153894 thistle midnight maroon papaya pink 307182.2530 +Manufacturer#4 197935 orchid chiffon medium puff purple 291156.2346 +Manufacturer#5 97943 burnished lawn tomato magenta turquoise 370350.7614 +Manufacturer#5 150952 slate tomato bisque linen orange 349254.3915 +Manufacturer#5 169945 antique thistle salmon steel indian 343144.2820 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-B.1-C.1-D.1` ----- +/* +{ + "id": "GQRY-B.1-C.1-D.1", + "parameter_names": [ + "top_n" + ], + "parameter_values": { + "top_n": 3 + }, + "other_exec_results": [], + "required_columns": [ + 0, + 2, + 3 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] highest revenue": "after discount (Net revenue)", + "[B] highest revenue": "exclude returned items", + "[C] America": "Americas (region)", + "[D] top N": ":top_n" + } + } +} +*/ +WITH america_revenue AS ( +SELECT +p.p_mfgr, +p.p_partkey, +p.p_name, +SUM(l.l_extendedprice * (1 - l.l_discount)) AS revenue, +RANK() OVER (PARTITION BY p.p_mfgr ORDER BY SUM(l.l_extendedprice) DESC) AS rn +FROM lineitem l +JOIN part p ON l.l_partkey = p.p_partkey +JOIN orders o ON l.l_orderkey = o.o_orderkey +JOIN customer c ON o.o_custkey = c.c_custkey +JOIN nation n ON c.c_nationkey = n.n_nationkey +JOIN region r ON n.n_regionkey = r.r_regionkey +WHERE r.r_name = 'AMERICA' +AND l.l_returnflag <> 'R' +GROUP BY p.p_mfgr, p.p_partkey, p.p_name +) +SELECT p_mfgr, p_partkey, p_name, revenue +FROM america_revenue +WHERE rn <= :top_n +ORDER BY p_mfgr, revenue DESC; +/* EXEC RESULT + p_mfgr p_partkey p_name revenue +Manufacturer#1 160951 moccasin steel antique sandy khaki 736273.1025 +Manufacturer#1 149934 red seashell peach khaki pink 666699.6765 +Manufacturer#1 67905 almond gainsboro honeydew burlywood cornsilk 660272.1660 +Manufacturer#2 20932 tan burlywood olive medium puff 696534.9163 +Manufacturer#2 119838 sienna ghost yellow cornflower cream 663040.9487 +... TRUNCATED ... +Manufacturer#4 111733 forest sandy coral ivory orange 687423.6200 +Manufacturer#4 140827 deep magenta turquoise deep snow 681474.1270 +Manufacturer#5 185993 red rose aquamarine drab navajo 769163.9303 +Manufacturer#5 122952 floral violet azure sky drab 721113.4935 +Manufacturer#5 142896 spring indian gainsboro peach yellow 712231.8526 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/026/gold_csv/GQRY-A.0-B.0-C.0.csv b/tasks/readable/026/gold_csv/GQRY-A.0-B.0-C.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..3c56b586fbf2645a9ac134e2a6b46816eb4190af --- /dev/null +++ b/tasks/readable/026/gold_csv/GQRY-A.0-B.0-C.0.csv @@ -0,0 +1,4 @@ +tmID,name,field_goal_percentage +GSW,Golden State Warriors,0.23529411764705882 +MEM,Memphis Grizzlies,0.3837638376383764 +NJN,New Jersey Nets,0.38976857490864797 diff --git a/tasks/readable/026/gold_csv/GQRY-A.0-B.0-C.1.csv b/tasks/readable/026/gold_csv/GQRY-A.0-B.0-C.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..3662c30189f94159faa27c5a534f86550abc5897 --- /dev/null +++ b/tasks/readable/026/gold_csv/GQRY-A.0-B.0-C.1.csv @@ -0,0 +1,4 @@ +tmID,name,field_goal_percentage +GSW,Golden State Warriors,0.0 +MEM,Memphis Grizzlies,0.0 +NJN,New Jersey Nets,0.3333333333333333 diff --git a/tasks/readable/026/gold_csv/GQRY-A.0-B.0-C.2.csv b/tasks/readable/026/gold_csv/GQRY-A.0-B.0-C.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..7fd17933c71697f4989f392e1a46fb82c5ca14ed --- /dev/null +++ b/tasks/readable/026/gold_csv/GQRY-A.0-B.0-C.2.csv @@ -0,0 +1,4 @@ +tmID,name,field_goal_percentage +GSW,Golden State Warriors,0.23529411764705882 +MEM,Memphis Grizzlies,0.3837638376383764 +NJN,New Jersey Nets,0.38739789964994165 diff --git a/tasks/readable/026/gold_csv/GQRY-A.0-B.1-C.0.csv b/tasks/readable/026/gold_csv/GQRY-A.0-B.1-C.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..d9607644c83c74ab215e42dfdb1a027affda7055 --- /dev/null +++ b/tasks/readable/026/gold_csv/GQRY-A.0-B.1-C.0.csv @@ -0,0 +1,4 @@ +tmID,name,field_goal_percentage +GSW,Golden State Warriors,0.23529411764705882 +MEM,Memphis Grizzlies,0.3837638376383764 +NJN,New Jersey Nets,0.3875491396532835 diff --git a/tasks/readable/026/gold_csv/GQRY-A.0-B.1-C.1.csv b/tasks/readable/026/gold_csv/GQRY-A.0-B.1-C.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..6c7a0d7e8eeb4c8d5a6a0eaf1e6e7108586ae2b5 --- /dev/null +++ b/tasks/readable/026/gold_csv/GQRY-A.0-B.1-C.1.csv @@ -0,0 +1,4 @@ +tmID,name,field_goal_percentage +GSW,Golden State Warriors,0.0 +MEM,Memphis Grizzlies,0.0 +NJN,New Jersey Nets,0.16666666666666666 diff --git a/tasks/readable/026/gold_csv/GQRY-A.0-B.1-C.2.csv b/tasks/readable/026/gold_csv/GQRY-A.0-B.1-C.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..6ce4531459bc8e326d8cae55aa01b9a3f2182ded --- /dev/null +++ b/tasks/readable/026/gold_csv/GQRY-A.0-B.1-C.2.csv @@ -0,0 +1,4 @@ +tmID,name,field_goal_percentage +GSW,Golden State Warriors,0.23529411764705882 +MEM,Memphis Grizzlies,0.3837638376383764 +NJN,New Jersey Nets,0.38556004584112435 diff --git a/tasks/readable/026/gold_csv/GQRY-A.1-B.0-C.0.csv b/tasks/readable/026/gold_csv/GQRY-A.1-B.0-C.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..0cfb9a363783541f1f015396ffa0c8a11c1b8d8b --- /dev/null +++ b/tasks/readable/026/gold_csv/GQRY-A.1-B.0-C.0.csv @@ -0,0 +1,3 @@ +tmID,name,field_goal_percentage +LAC,Los Angeles Clippers,0.2631578947368421 +SAS,San Antonio Spurs,0.6666666666666666 diff --git a/tasks/readable/026/gold_csv/GQRY-A.1-B.0-C.1.csv b/tasks/readable/026/gold_csv/GQRY-A.1-B.0-C.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..50a0732e5603abe806594f3c9f1cf544f7ffb11f --- /dev/null +++ b/tasks/readable/026/gold_csv/GQRY-A.1-B.0-C.1.csv @@ -0,0 +1,3 @@ +tmID,name,field_goal_percentage +LAC,Los Angeles Clippers,0 +SAS,San Antonio Spurs,0 diff --git a/tasks/readable/026/gold_csv/GQRY-A.1-B.0-C.2.csv b/tasks/readable/026/gold_csv/GQRY-A.1-B.0-C.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..0cfb9a363783541f1f015396ffa0c8a11c1b8d8b --- /dev/null +++ b/tasks/readable/026/gold_csv/GQRY-A.1-B.0-C.2.csv @@ -0,0 +1,3 @@ +tmID,name,field_goal_percentage +LAC,Los Angeles Clippers,0.2631578947368421 +SAS,San Antonio Spurs,0.6666666666666666 diff --git a/tasks/readable/026/gold_csv/GQRY-A.1-B.1-C.0.csv b/tasks/readable/026/gold_csv/GQRY-A.1-B.1-C.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..d320b6d1744ad3bd8fe585e5953bd00939546466 --- /dev/null +++ b/tasks/readable/026/gold_csv/GQRY-A.1-B.1-C.0.csv @@ -0,0 +1,3 @@ +tmID,name,field_goal_percentage +LAC,Los Angeles Clippers,0.2631578947368421 +SAS,San Antonio Spurs,0.5 diff --git a/tasks/readable/026/gold_csv/GQRY-A.1-B.1-C.1.csv b/tasks/readable/026/gold_csv/GQRY-A.1-B.1-C.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..59e4114625da47b4739e52eb9ef176da6ce05429 --- /dev/null +++ b/tasks/readable/026/gold_csv/GQRY-A.1-B.1-C.1.csv @@ -0,0 +1,3 @@ +tmID,name,field_goal_percentage +LAC,Los Angeles Clippers,0.0 +SAS,San Antonio Spurs,0.0 diff --git a/tasks/readable/026/gold_csv/GQRY-A.1-B.1-C.2.csv b/tasks/readable/026/gold_csv/GQRY-A.1-B.1-C.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..d320b6d1744ad3bd8fe585e5953bd00939546466 --- /dev/null +++ b/tasks/readable/026/gold_csv/GQRY-A.1-B.1-C.2.csv @@ -0,0 +1,3 @@ +tmID,name,field_goal_percentage +LAC,Los Angeles Clippers,0.2631578947368421 +SAS,San Antonio Spurs,0.5 diff --git a/tasks/readable/026/task_readable.sql b/tasks/readable/026/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..dfe2a025d63460dd6fd4e0c83840ef2d7ffb2279 --- /dev/null +++ b/tasks/readable/026/task_readable.sql @@ -0,0 +1,594 @@ +/* +{ + "qid": "026", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "professional_basketball", + "question": "For each team that Marcus Williams played for, compute his aggregate field goal percentage.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "Marcus Williams", + "type": "finite", + "ambiguity_type": "semantic_value", + "interpretations": [ + "Marcus Williams from University of Connecticut born in 1985", + "Marcus Williams from University of Arizona born in 1986" + ], + "intended_interpretation_idx": 0 + }, + { + "id": "B", + "phrase": "aggregate field goal percentage", + "type": "finite", + "ambiguity_type": "semantic_computation", + "interpretations": [ + "total FG%", + "average season FG%" + ], + "intended_interpretation_idx": 1 + }, + { + "id": "C", + "phrase": "field goal percentage", + "type": "finite", + "ambiguity_type": "semantic_column", + "interpretations": [ + "regular season only", + "playoff only", + "regular season and playoff" + ], + "intended_interpretation_idx": 0 + } + ], + "gold_intended_query_id": "GQRY-A.0-B.1-C.0", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0-B.0-C.0` ----- +/* +{ + "id": "GQRY-A.0-B.0-C.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Marcus Williams": "Marcus Williams from University of Connecticut born in 1985", + "[B] field goal percentage": "regular season only", + "[C] aggregate field goal percentage": "total FG%" + } + } +} +*/ +SELECT +t.tmID, +t.name, +CASE +WHEN SUM(pt.fgAttempted) = 0 THEN 0 +ELSE CAST(SUM(pt.fgMade) AS REAL) / SUM(pt.fgAttempted) +END as field_goal_percentage +FROM players_teams pt +JOIN players p ON pt.playerID = p.playerID +JOIN teams t ON pt.tmID = t.tmID AND pt.year = t.year +WHERE p.firstName = 'Marcus' +AND p.lastName = 'Williams' +AND p.college = 'Connecticut' +AND p.birthDate = '1985-12-03' +GROUP BY t.tmID, t.name; +/* EXEC RESULT +tmID name field_goal_percentage + GSW Golden State Warriors 0.235294 + MEM Memphis Grizzlies 0.383764 + NJN New Jersey Nets 0.389769 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.0-C.1` ----- +/* +{ + "id": "GQRY-A.0-B.0-C.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Marcus Williams": "Marcus Williams from University of Connecticut born in 1985", + "[B] field goal percentage": "playoff only", + "[C] aggregate field goal percentage": "total FG%" + } + } +} +*/ +SELECT +t.tmID, +t.name, +CASE +WHEN SUM(pt.PostfgAttempted) = 0 THEN 0 +ELSE CAST(SUM(pt.PostfgMade) AS REAL) / SUM(pt.PostfgAttempted) +END as field_goal_percentage +FROM players_teams pt +JOIN players p ON pt.playerID = p.playerID +JOIN teams t ON pt.tmID = t.tmID AND pt.year = t.year +WHERE p.firstName = 'Marcus' +AND p.lastName = 'Williams' +AND p.college = 'Connecticut' +AND p.birthDate = '1985-12-03' +GROUP BY t.tmID, t.name; +/* EXEC RESULT +tmID name field_goal_percentage + GSW Golden State Warriors 0.000000 + MEM Memphis Grizzlies 0.000000 + NJN New Jersey Nets 0.333333 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.0-C.2` ----- +/* +{ + "id": "GQRY-A.0-B.0-C.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Marcus Williams": "Marcus Williams from University of Connecticut born in 1985", + "[B] field goal percentage": "regular season and playoff", + "[C] aggregate field goal percentage": "total FG%" + } + } +} +*/ +SELECT +t.tmID, +t.name, +CASE +WHEN SUM(pt.PostfgAttempted) + SUM(pt.fgAttempted) = 0 THEN 0 +ELSE CAST(SUM(pt.PostfgMade) + SUM(pt.fgMade) AS REAL) / (SUM(pt.PostfgAttempted) + SUM(pt.fgAttempted)) +END as field_goal_percentage +FROM players_teams pt +JOIN players p ON pt.playerID = p.playerID +JOIN teams t ON pt.tmID = t.tmID AND pt.year = t.year +WHERE p.firstName = 'Marcus' +AND p.lastName = 'Williams' +AND p.college = 'Connecticut' +AND p.birthDate = '1985-12-03' +GROUP BY t.tmID, t.name; +/* EXEC RESULT +tmID name field_goal_percentage + GSW Golden State Warriors 0.235294 + MEM Memphis Grizzlies 0.383764 + NJN New Jersey Nets 0.387398 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.1-C.0` ----- +/* +{ + "id": "GQRY-A.0-B.1-C.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Marcus Williams": "Marcus Williams from University of Connecticut born in 1985", + "[B] field goal percentage": "regular season only", + "[C] aggregate field goal percentage": "average season FG%" + } + } +} +*/ +WITH season_stats AS ( +SELECT t.tmID, t.name, pt.year, +CASE WHEN SUM(pt.fgAttempted) = 0 THEN 0 +ELSE CAST(SUM(pt.fgMade) AS REAL) / SUM(pt.fgAttempted) +END as field_goal_percentage +FROM players_teams pt +JOIN players p ON pt.playerID = p.playerID +JOIN teams t ON pt.tmID = t.tmID AND pt.year = t.year +WHERE p.firstName = 'Marcus' +AND p.lastName = 'Williams' +AND p.college = 'Connecticut' +AND p.birthDate = '1985-12-03' +GROUP BY t.tmID, t.name, pt.year +) +SELECT tmID, name, AVG(field_goal_percentage) as field_goal_percentage +FROM season_stats +GROUP BY tmID, name; +/* EXEC RESULT +tmID name field_goal_percentage + GSW Golden State Warriors 0.235294 + MEM Memphis Grizzlies 0.383764 + NJN New Jersey Nets 0.387549 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.1-C.1` ----- +/* +{ + "id": "GQRY-A.0-B.1-C.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Marcus Williams": "Marcus Williams from University of Connecticut born in 1985", + "[B] field goal percentage": "playoff only", + "[C] aggregate field goal percentage": "average season FG%" + } + } +} +*/ +WITH season_stats AS ( +SELECT t.tmID, t.name, pt.year, +CASE WHEN SUM(pt.PostfgAttempted) = 0 THEN 0 +ELSE CAST(SUM(pt.PostfgMade) AS REAL) / SUM(pt.PostfgAttempted) +END as field_goal_percentage +FROM players_teams pt +JOIN players p ON pt.playerID = p.playerID +JOIN teams t ON pt.tmID = t.tmID AND pt.year = t.year +WHERE p.firstName = 'Marcus' +AND p.lastName = 'Williams' +AND p.college = 'Connecticut' +AND p.birthDate = '1985-12-03' +GROUP BY t.tmID, t.name, pt.year +) +SELECT tmID, name, AVG(field_goal_percentage) as field_goal_percentage +FROM season_stats +GROUP BY tmID, name; +/* EXEC RESULT +tmID name field_goal_percentage + GSW Golden State Warriors 0.000000 + MEM Memphis Grizzlies 0.000000 + NJN New Jersey Nets 0.166667 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.1-C.2` ----- +/* +{ + "id": "GQRY-A.0-B.1-C.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Marcus Williams": "Marcus Williams from University of Connecticut born in 1985", + "[B] field goal percentage": "regular season and playoff", + "[C] aggregate field goal percentage": "average season FG%" + } + } +} +*/ +WITH season_stats AS ( +SELECT t.tmID, t.name, pt.year, +CASE WHEN SUM(pt.PostfgAttempted) + SUM(pt.fgAttempted) = 0 THEN 0 +ELSE CAST(SUM(pt.PostfgMade) + SUM(pt.fgMade) AS REAL) / (SUM(pt.PostfgAttempted) + SUM(pt.fgAttempted)) +END as field_goal_percentage +FROM players_teams pt +JOIN players p ON pt.playerID = p.playerID +JOIN teams t ON pt.tmID = t.tmID AND pt.year = t.year +WHERE p.firstName = 'Marcus' +AND p.lastName = 'Williams' +AND p.college = 'Connecticut' +AND p.birthDate = '1985-12-03' +GROUP BY t.tmID, t.name, pt.year +) +SELECT tmID, name, AVG(field_goal_percentage) as field_goal_percentage +FROM season_stats +GROUP BY tmID, name; +/* EXEC RESULT +tmID name field_goal_percentage + GSW Golden State Warriors 0.235294 + MEM Memphis Grizzlies 0.383764 + NJN New Jersey Nets 0.385560 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.0-C.0` ----- +/* +{ + "id": "GQRY-A.1-B.0-C.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Marcus Williams": "Marcus Williams from University of Arizona born in 1986", + "[B] field goal percentage": "regular season only", + "[C] aggregate field goal percentage": "total FG%" + } + } +} +*/ +SELECT +t.tmID, +t.name, +CASE +WHEN SUM(pt.fgAttempted) = 0 THEN 0 +ELSE CAST(SUM(pt.fgMade) AS REAL) / SUM(pt.fgAttempted) +END as field_goal_percentage +FROM players_teams pt +JOIN players p ON pt.playerID = p.playerID +JOIN teams t ON pt.tmID = t.tmID AND pt.year = t.year +WHERE p.firstName = 'Marcus' +AND p.lastName = 'Williams' +AND p.college = 'Arizona' +AND p.birthDate = '1986-11-18' +GROUP BY t.tmID, t.name; +/* EXEC RESULT +tmID name field_goal_percentage + LAC Los Angeles Clippers 0.263158 + SAS San Antonio Spurs 0.666667 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.0-C.1` ----- +/* +{ + "id": "GQRY-A.1-B.0-C.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Marcus Williams": "Marcus Williams from University of Arizona born in 1986", + "[B] field goal percentage": "playoff only", + "[C] aggregate field goal percentage": "total FG%" + } + } +} +*/ +SELECT +t.tmID, +t.name, +CASE +WHEN SUM(pt.PostfgAttempted) = 0 THEN 0 +ELSE CAST(SUM(pt.PostfgMade) AS REAL) / SUM(pt.PostfgAttempted) +END as field_goal_percentage +FROM players_teams pt +JOIN players p ON pt.playerID = p.playerID +JOIN teams t ON pt.tmID = t.tmID AND pt.year = t.year +WHERE p.firstName = 'Marcus' +AND p.lastName = 'Williams' +AND p.college = 'Arizona' +AND p.birthDate = '1986-11-18' +GROUP BY t.tmID, t.name; +/* EXEC RESULT +tmID name field_goal_percentage + LAC Los Angeles Clippers 0 + SAS San Antonio Spurs 0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.0-C.2` ----- +/* +{ + "id": "GQRY-A.1-B.0-C.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Marcus Williams": "Marcus Williams from University of Arizona born in 1986", + "[B] field goal percentage": "regular season and playoff", + "[C] aggregate field goal percentage": "total FG%" + } + } +} +*/ +SELECT +t.tmID, +t.name, +CASE +WHEN SUM(pt.PostfgAttempted) + SUM(pt.fgAttempted) = 0 THEN 0 +ELSE CAST(SUM(pt.PostfgMade) + SUM(pt.fgMade) AS REAL) / (SUM(pt.PostfgAttempted) + SUM(pt.fgAttempted)) +END as field_goal_percentage +FROM players_teams pt +JOIN players p ON pt.playerID = p.playerID +JOIN teams t ON pt.tmID = t.tmID AND pt.year = t.year +WHERE p.firstName = 'Marcus' +AND p.lastName = 'Williams' +AND p.college = 'Arizona' +AND p.birthDate = '1986-11-18' +GROUP BY t.tmID, t.name; +/* EXEC RESULT +tmID name field_goal_percentage + LAC Los Angeles Clippers 0.263158 + SAS San Antonio Spurs 0.666667 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.1-C.0` ----- +/* +{ + "id": "GQRY-A.1-B.1-C.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Marcus Williams": "Marcus Williams from University of Arizona born in 1986", + "[B] field goal percentage": "regular season only", + "[C] aggregate field goal percentage": "average season FG%" + } + } +} +*/ +WITH season_stats AS ( +SELECT t.tmID, t.name, pt.year, +CASE WHEN SUM(pt.fgAttempted) = 0 THEN 0 +ELSE CAST(SUM(pt.fgMade) AS REAL) / SUM(pt.fgAttempted) +END as field_goal_percentage +FROM players_teams pt +JOIN players p ON pt.playerID = p.playerID +JOIN teams t ON pt.tmID = t.tmID AND pt.year = t.year +WHERE p.firstName = 'Marcus' +AND p.lastName = 'Williams' +AND p.college = 'Arizona' +AND p.birthDate = '1986-11-18' +GROUP BY t.tmID, t.name, pt.year +) +SELECT tmID, name, AVG(field_goal_percentage) as field_goal_percentage +FROM season_stats +GROUP BY tmID, name; +/* EXEC RESULT +tmID name field_goal_percentage + LAC Los Angeles Clippers 0.263158 + SAS San Antonio Spurs 0.500000 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.1-C.1` ----- +/* +{ + "id": "GQRY-A.1-B.1-C.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Marcus Williams": "Marcus Williams from University of Arizona born in 1986", + "[B] field goal percentage": "playoff only", + "[C] aggregate field goal percentage": "average season FG%" + } + } +} +*/ +WITH season_stats AS ( +SELECT t.tmID, t.name, pt.year, +CASE WHEN SUM(pt.PostfgAttempted) = 0 THEN 0 +ELSE CAST(SUM(pt.PostfgMade) AS REAL) / SUM(pt.PostfgAttempted) +END as field_goal_percentage +FROM players_teams pt +JOIN players p ON pt.playerID = p.playerID +JOIN teams t ON pt.tmID = t.tmID AND pt.year = t.year +WHERE p.firstName = 'Marcus' +AND p.lastName = 'Williams' +AND p.college = 'Arizona' +AND p.birthDate = '1986-11-18' +GROUP BY t.tmID, t.name, pt.year +) +SELECT tmID, name, AVG(field_goal_percentage) as field_goal_percentage +FROM season_stats +GROUP BY tmID, name; +/* EXEC RESULT +tmID name field_goal_percentage + LAC Los Angeles Clippers 0.0 + SAS San Antonio Spurs 0.0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.1-C.2` ----- +/* +{ + "id": "GQRY-A.1-B.1-C.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Marcus Williams": "Marcus Williams from University of Arizona born in 1986", + "[B] field goal percentage": "regular season and playoff", + "[C] aggregate field goal percentage": "average season FG%" + } + } +} +*/ +WITH season_stats AS ( +SELECT t.tmID, t.name, pt.year, +CASE WHEN SUM(pt.PostfgAttempted) + SUM(pt.fgAttempted) = 0 THEN 0 +ELSE CAST(SUM(pt.PostfgMade) + SUM(pt.fgMade) AS REAL) / (SUM(pt.PostfgAttempted) + SUM(pt.fgAttempted)) +END as field_goal_percentage +FROM players_teams pt +JOIN players p ON pt.playerID = p.playerID +JOIN teams t ON pt.tmID = t.tmID AND pt.year = t.year +WHERE p.firstName = 'Marcus' +AND p.lastName = 'Williams' +AND p.college = 'Arizona' +AND p.birthDate = '1986-11-18' +GROUP BY t.tmID, t.name, pt.year +) +SELECT tmID, name, AVG(field_goal_percentage) as field_goal_percentage +FROM season_stats +GROUP BY tmID, name; +/* EXEC RESULT +tmID name field_goal_percentage + LAC Los Angeles Clippers 0.263158 + SAS San Antonio Spurs 0.500000 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/027/gold_csv/GQRY-A.0-C.0.csv b/tasks/readable/027/gold_csv/GQRY-A.0-C.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..96323a79d147aed5432f6b7b041e774b31774f4d --- /dev/null +++ b/tasks/readable/027/gold_csv/GQRY-A.0-C.0.csv @@ -0,0 +1 @@ +tmID,name,total_points_allowed diff --git a/tasks/readable/027/gold_csv/GQRY-A.0-C.1.csv b/tasks/readable/027/gold_csv/GQRY-A.0-C.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..c8cf1e1ed0e480535a39eb7d014253023ebef617 --- /dev/null +++ b/tasks/readable/027/gold_csv/GQRY-A.0-C.1.csv @@ -0,0 +1,7 @@ +tmID,name,total_points_allowed +OKC,Oklahoma City Thunder,31171 +NOH,New Orleans Hornets,60759 +MEM,Memphis Grizzlies,87032 +MIN,Minnesota Timberwolves,183983 +UTA,Utah Jazz,267618 +SAS,San Antonio Spurs,294308 diff --git a/tasks/readable/027/gold_csv/GQRY-A.1-C.0.csv b/tasks/readable/027/gold_csv/GQRY-A.1-C.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..339d9e9ef32a3cd718e73a6f6c049d7f4b39383d --- /dev/null +++ b/tasks/readable/027/gold_csv/GQRY-A.1-C.0.csv @@ -0,0 +1,7 @@ +tmID,name,avg_points_allowed_per_season +NOH,New Orleans Hornets,7594.875 +OKC,Oklahoma City Thunder,7792.75 +MEM,Memphis Grizzlies,7912.0 +MIN,Minnesota Timberwolves,7999.260869565217 +UTA,Utah Jazz,8109.636363636364 +SAS,San Antonio Spurs,8175.222222222223 diff --git a/tasks/readable/027/gold_csv/GQRY-A.1-C.1.csv b/tasks/readable/027/gold_csv/GQRY-A.1-C.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..5286ead49ac5a3d7f8f9ebd1e99e257efe28a835 --- /dev/null +++ b/tasks/readable/027/gold_csv/GQRY-A.1-C.1.csv @@ -0,0 +1,23 @@ +tmID,name,avg_points_allowed_per_season +NOH,New Orleans Hornets,7594.875 +OKC,Oklahoma City Thunder,7792.75 +MEM,Memphis Grizzlies,7912.0 +MIN,Minnesota Timberwolves,7999.260869565217 +UTA,Utah Jazz,8109.636363636364 +SAS,San Antonio Spurs,8175.222222222223 +CHI,Chicago Bulls,8218.934782608696 +DAL,Dallas Mavericks,8265.96875 +HOU,Houston Rockets,8283.219512195123 +LAC,Los Angeles Clippers,8310.714285714286 +POR,Portland Trail Blazers,8327.880952380952 +MIL,Milwaukee Bucks,8330.5 +SAC,Sacramento Kings,8345.74074074074 +DET,Detroit Pistons,8423.454545454546 +SEA,Seattle Supersonics,8500.121951219513 +LAL,Los Angeles Lakers,8502.0 +PHO,Phoenix Suns,8554.363636363636 +KCO,KC-Omaha Kings,8689.333333333334 +DEN,Denver Nuggets,8701.444444444445 +GSW,Golden State Warriors,8708.609756097561 +KCK,Kansas City Kings,9002.8 +SFW,San Francisco Warriors,9227.888888888889 diff --git a/tasks/readable/027/gold_csv/GQRY-A.2-C.0.csv b/tasks/readable/027/gold_csv/GQRY-A.2-C.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..a68406d4d85512dece462405cfc5e483f9b3b10f --- /dev/null +++ b/tasks/readable/027/gold_csv/GQRY-A.2-C.0.csv @@ -0,0 +1,23 @@ +tmID,name,avg_points_allowed_per_game +SEA,Seattle Supersonics,104.65615615615616 +KCO,KC-Omaha Kings,105.96747967479675 +CHI,Chicago Bulls,108.23675923275121 +KCK,Kansas City Kings,109.79024390243903 +SAS,San Antonio Spurs,110.06282722513089 +MIL,Milwaukee Bucks,110.07267267267267 +HOU,Houston Rockets,110.12062256809338 +UTA,Utah Jazz,110.22158154859967 +POR,Portland Trail Blazers,110.4772583701832 +DET,Detroit Pistons,110.54402290622762 +LAL,Los Angeles Lakers,111.30513595166163 +DAL,Dallas Mavericks,112.74978687127025 +PHO,Phoenix Suns,113.03063063063063 +SFW,San Francisco Warriors,113.92455418381344 +MIN,Minnesota Timberwolves,114.41728855721394 +LAC,Los Angeles Clippers,115.31219028741329 +GSW,Golden State Warriors,115.77594033722438 +SAC,Sacramento Kings,116.39204545454545 +DEN,Denver Nuggets,117.14734480179506 +MEM,Memphis Grizzlies,132.67073170731706 +NOH,New Orleans Hornets,148.19268292682926 +OKC,Oklahoma City Thunder,380.1341463414634 diff --git a/tasks/readable/027/gold_csv/GQRY-A.2-C.1.csv b/tasks/readable/027/gold_csv/GQRY-A.2-C.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..a68406d4d85512dece462405cfc5e483f9b3b10f --- /dev/null +++ b/tasks/readable/027/gold_csv/GQRY-A.2-C.1.csv @@ -0,0 +1,23 @@ +tmID,name,avg_points_allowed_per_game +SEA,Seattle Supersonics,104.65615615615616 +KCO,KC-Omaha Kings,105.96747967479675 +CHI,Chicago Bulls,108.23675923275121 +KCK,Kansas City Kings,109.79024390243903 +SAS,San Antonio Spurs,110.06282722513089 +MIL,Milwaukee Bucks,110.07267267267267 +HOU,Houston Rockets,110.12062256809338 +UTA,Utah Jazz,110.22158154859967 +POR,Portland Trail Blazers,110.4772583701832 +DET,Detroit Pistons,110.54402290622762 +LAL,Los Angeles Lakers,111.30513595166163 +DAL,Dallas Mavericks,112.74978687127025 +PHO,Phoenix Suns,113.03063063063063 +SFW,San Francisco Warriors,113.92455418381344 +MIN,Minnesota Timberwolves,114.41728855721394 +LAC,Los Angeles Clippers,115.31219028741329 +GSW,Golden State Warriors,115.77594033722438 +SAC,Sacramento Kings,116.39204545454545 +DEN,Denver Nuggets,117.14734480179506 +MEM,Memphis Grizzlies,132.67073170731706 +NOH,New Orleans Hornets,148.19268292682926 +OKC,Oklahoma City Thunder,380.1341463414634 diff --git a/tasks/readable/027/task_readable.sql b/tasks/readable/027/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..aba53aaf12953b8b74d967a3c03ca17a4781082c --- /dev/null +++ b/tasks/readable/027/task_readable.sql @@ -0,0 +1,359 @@ +/* +{ + "qid": "027", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "professional_basketball", + "question": "List all teams with low points allowed from the Western conference that have made the playoffs.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "low points allowed", + "type": "finite", + "ambiguity_type": "semantic_computation", + "interpretations": [ + "low total points allowed", + "low points allowed per season", + "low points allowed per game" + ], + "intended_interpretation_idx": 2 + }, + { + "id": "B", + "phrase": "low points allowed", + "type": "infinite", + "ambiguity_type": "semantic_value", + "parameter_name": "points_allowed_threshold", + "parameter_dtype": "int", + "parameter_sample_operators": [ + "<", + "<=" + ], + "parameter_sample_values": [ + 8200 + ], + "intended_parameter_operator": "<", + "intended_parameter_value": 8200 + }, + { + "id": "C", + "phrase": "made the playoffs", + "type": "finite", + "ambiguity_type": "semantic_computation", + "interpretations": [ + "teams.playoff is not null", + "appeared in the series_post table" + ], + "intended_interpretation_idx": 0 + } + ], + "gold_intended_query_id": "GQRY-A.2-C.0", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0-C.0` ----- +/* +{ + "id": "GQRY-A.0-C.0", + "parameter_names": [ + "points_allowed_threshold" + ], + "parameter_values": { + "points_allowed_threshold": 8200 + }, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] made the playoffs": "teams.playoff is not null", + "[B] low points allowed": "low total points allowed", + "[C] low points allowed": ":points_allowed_threshold" + } + } +} +*/ +SELECT t1.tmID, t1.name, SUM(t1.d_pts) AS total_points_allowed +FROM teams t1 +WHERE t1.tmID IN ( +SELECT DISTINCT tmID +FROM teams +WHERE confID = 'WC' AND playoff IS NOT NULL +) +GROUP BY t1.tmID, t1.name +HAVING SUM(t1.d_pts) < :points_allowed_threshold +ORDER BY SUM(t1.d_pts) ASC; +/* EXEC RESULT +Empty DataFrame +Columns: [tmID, name, total_points_allowed] +Index: [] +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-C.1` ----- +/* +{ + "id": "GQRY-A.0-C.1", + "parameter_names": [ + "points_allowed_threshold" + ], + "parameter_values": { + "points_allowed_threshold": 8200 + }, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] made the playoffs": "appeared in the series_post table", + "[B] low points allowed": "low total points allowed", + "[C] low points allowed": ":points_allowed_threshold" + } + } +} +*/ +SELECT t1.tmID, t1.name, SUM(t1.d_pts) AS total_points_allowed +FROM teams t1 +WHERE t1.tmID IN ( +SELECT DISTINCT sp.tmIDWinner +FROM series_post sp +JOIN teams t ON sp.tmIDWinner = t.tmID AND sp.year = t.year +WHERE t.confID = 'WC' +UNION +SELECT DISTINCT sp.tmIDLoser +FROM series_post sp +JOIN teams t ON sp.tmIDLoser = t.tmID AND sp.year = t.year +WHERE t.confID = 'WC' +) +GROUP BY t1.tmID, t1.name +HAVING AVG(t1.d_pts) < :points_allowed_threshold +ORDER BY SUM(t1.d_pts) ASC; +/* EXEC RESULT +tmID name total_points_allowed + OKC Oklahoma City Thunder 31171 + NOH New Orleans Hornets 60759 + MEM Memphis Grizzlies 87032 + MIN Minnesota Timberwolves 183983 + UTA Utah Jazz 267618 + SAS San Antonio Spurs 294308 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-C.0` ----- +/* +{ + "id": "GQRY-A.1-C.0", + "parameter_names": [ + "points_allowed_threshold" + ], + "parameter_values": { + "points_allowed_threshold": 8200 + }, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] made the playoffs": "teams.playoff is not null", + "[B] low points allowed": "low points allowed per season", + "[C] low points allowed": ":points_allowed_threshold" + } + } +} +*/ +SELECT t1.tmID, t1.name, AVG(t1.d_pts) AS avg_points_allowed_per_season +FROM teams t1 +WHERE t1.tmID IN ( +SELECT DISTINCT tmID +FROM teams +WHERE confID = 'WC' AND playoff IS NOT NULL +) +GROUP BY t1.tmID, t1.name +HAVING AVG(t1.d_pts) < :points_allowed_threshold +ORDER BY AVG(t1.d_pts) ASC; +/* EXEC RESULT +tmID name avg_points_allowed_per_season + NOH New Orleans Hornets 7594.875000 + OKC Oklahoma City Thunder 7792.750000 + MEM Memphis Grizzlies 7912.000000 + MIN Minnesota Timberwolves 7999.260870 + UTA Utah Jazz 8109.636364 + SAS San Antonio Spurs 8175.222222 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-C.1` ----- +/* +{ + "id": "GQRY-A.1-C.1", + "parameter_names": [ + "points_allowed_threshold" + ], + "parameter_values": { + "points_allowed_threshold": 8200 + }, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] made the playoffs": "appeared in the series_post table", + "[B] low points allowed": "low points allowed per season", + "[C] low points allowed": ":points_allowed_threshold" + } + } +} +*/ +SELECT t1.tmID, t1.name, AVG(t1.d_pts) AS avg_points_allowed_per_season +FROM teams t1 +WHERE t1.tmID IN ( +SELECT DISTINCT sp.tmIDWinner +FROM series_post sp +JOIN teams t ON sp.tmIDWinner = t.tmID AND sp.year = t.year +WHERE t.confID = 'WC' +UNION +SELECT DISTINCT sp.tmIDLoser +FROM series_post sp +JOIN teams t ON sp.tmIDLoser = t.tmID AND sp.year = t.year +WHERE t.confID = 'WC' +) +GROUP BY t1.tmID, t1.name +HAVING SUM(t1.d_pts) * 1.0 / SUM(t1.games) < :points_allowed_threshold +ORDER BY AVG(t1.d_pts) ASC; +/* EXEC RESULT +tmID name avg_points_allowed_per_season + NOH New Orleans Hornets 7594.875000 + OKC Oklahoma City Thunder 7792.750000 + MEM Memphis Grizzlies 7912.000000 + MIN Minnesota Timberwolves 7999.260870 + UTA Utah Jazz 8109.636364 +... TRUNCATED ... + KCO KC-Omaha Kings 8689.333333 + DEN Denver Nuggets 8701.444444 + GSW Golden State Warriors 8708.609756 + KCK Kansas City Kings 9002.800000 + SFW San Francisco Warriors 9227.888889 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.2-C.0` ----- +/* +{ + "id": "GQRY-A.2-C.0", + "parameter_names": [ + "points_allowed_threshold" + ], + "parameter_values": { + "points_allowed_threshold": 8200 + }, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] made the playoffs": "teams.playoff is not null", + "[B] low points allowed": "low points allowed per game", + "[C] low points allowed": ":points_allowed_threshold" + } + } +} +*/ +SELECT t1.tmID, t1.name, SUM(t1.d_pts) * 1.0 / SUM(t1.games) AS avg_points_allowed_per_game +FROM teams t1 +WHERE t1.tmID IN ( +SELECT DISTINCT tmID +FROM teams +WHERE confID = 'WC' AND playoff IS NOT NULL +) +GROUP BY t1.tmID, t1.name +HAVING SUM(t1.d_pts) * 1.0 / SUM(t1.games) < :points_allowed_threshold +ORDER BY SUM(t1.d_pts) * 1.0 / SUM(t1.games) ASC; +/* EXEC RESULT +tmID name avg_points_allowed_per_game + SEA Seattle Supersonics 104.656156 + KCO KC-Omaha Kings 105.967480 + CHI Chicago Bulls 108.236759 + KCK Kansas City Kings 109.790244 + SAS San Antonio Spurs 110.062827 +... TRUNCATED ... + SAC Sacramento Kings 116.392045 + DEN Denver Nuggets 117.147345 + MEM Memphis Grizzlies 132.670732 + NOH New Orleans Hornets 148.192683 + OKC Oklahoma City Thunder 380.134146 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.2-C.1` ----- +/* +{ + "id": "GQRY-A.2-C.1", + "parameter_names": [ + "points_allowed_threshold" + ], + "parameter_values": { + "points_allowed_threshold": 8200 + }, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] made the playoffs": "appeared in the series_post table", + "[B] low points allowed": "low points allowed per game", + "[C] low points allowed": ":points_allowed_threshold" + } + } +} +*/ +SELECT t1.tmID, t1.name, SUM(t1.d_pts) * 1.0 / SUM(t1.games) AS avg_points_allowed_per_game +FROM teams t1 +WHERE t1.tmID IN ( +SELECT DISTINCT sp.tmIDWinner +FROM series_post sp +JOIN teams t ON sp.tmIDWinner = t.tmID AND sp.year = t.year +WHERE t.confID = 'WC' +UNION +SELECT DISTINCT sp.tmIDLoser +FROM series_post sp +JOIN teams t ON sp.tmIDLoser = t.tmID AND sp.year = t.year +WHERE t.confID = 'WC' +) +GROUP BY t1.tmID, t1.name +HAVING SUM(t1.d_pts) * 1.0 / SUM(t1.games) < :points_allowed_threshold +ORDER BY SUM(t1.d_pts) * 1.0 / SUM(t1.games) ASC; +/* EXEC RESULT +tmID name avg_points_allowed_per_game + SEA Seattle Supersonics 104.656156 + KCO KC-Omaha Kings 105.967480 + CHI Chicago Bulls 108.236759 + KCK Kansas City Kings 109.790244 + SAS San Antonio Spurs 110.062827 +... TRUNCATED ... + SAC Sacramento Kings 116.392045 + DEN Denver Nuggets 117.147345 + MEM Memphis Grizzlies 132.670732 + NOH New Orleans Hornets 148.192683 + OKC Oklahoma City Thunder 380.134146 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/028/gold_csv/GQRY-A.0.csv b/tasks/readable/028/gold_csv/GQRY-A.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..c1f76be5e1ef7bf8217b2fa86c183c70e52ebf03 --- /dev/null +++ b/tasks/readable/028/gold_csv/GQRY-A.0.csv @@ -0,0 +1,518 @@ +playerID,firstName,lastName,name,post_season_playoff_status,post_season_games_played +abdursh01,Julius,Abdur-Rahim,Sacramento Kings,,0 +afflaar01,Arron,Afflalo,Detroit Pistons,CF,12 +agerma01,Maurice,Ager,Dallas Mavericks,C1,0 +agerma01,Maurice,Ager,New Jersey Nets,,0 +ahearbl01,Daniel,Ahearn,Miami Heat,,0 +aldrila01,LaMarcus,Aldridge,Portland Trail Blazers,,0 +allento01,Anthony,Allen,Boston Celtics,NC,15 +allenma01,Malik,Allen,Dallas Mavericks,C1,3 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Nuggets,C1,3 +diazgu01,Guillermo,Diaz Gonzalez,Los Angeles Clippers,,0 +dickada01,Daniel,Dickau,Los Angeles Clippers,,0 +dickeka01,Kaniel,Dickens,Cleveland Cavaliers,CS,0 +dienetr01,Travis,Diener,Indiana Pacers,,0 +dioguik01,Ikechukwa,Diogu,Indiana Pacers,,0 +diopde01,Desagana,Diop,Charlotte Bobcats,,0 +dixonju01,Juan,Dixon,Detroit Pistons,CF,2 +dixonju01,Juan,Dixon,Toronto Raptors,C1,0 +doleami01,Michael,Doleac,Minnesota Timberwolves,,0 +doolike01,Keyon,Dooling,Orlando Magic,CS,10 +doubyqu01,Quincy,Douby,Sacramento Kings,,0 +dudleja01,Jared,Dudley,Charlotte Bobcats,,0 +duhonch01,Chris,Duhon,Chicago Bulls,,0 +duncati01,Timothy,Duncan,San Antonio Spurs,CF,17 +dunlemi02,Michael,Dunleavy,Indiana Pacers,,0 +duprero01,Ronald,Dupree,Detroit Pistons,CF,0 +duprero01,Ronald,Dupree,Seattle Supersonics,,0 +duranke01,Kevin,Durant,Seattle Supersonics,,0 +ellismo01,Monta,Ellis,Golden State Warriors,,0 +elsonfr01,Francisco,Elson,San Antonio Spurs,CF,0 +elsonfr01,Francisco,Elson,Seattle Supersonics,,0 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Saez,Memphis Grizzlies,,39 +gayru01,Rudy,Gay,Memphis Grizzlies,,81 +gelabmi01,Mickael,Gelabale,Seattle Supersonics,,39 +georgde01,Devean,George,Dallas Mavericks,C1,58 +gibsoda01,Daniel,Gibson,Cleveland Cavaliers,CS,69 +gilled01,Eddie,Gill,New Jersey Nets,,13 +gilled01,Eddie,Gill,Seattle Supersonics,,1 +ginobem01,Emanuel,Ginobili,San Antonio Spurs,CF,91 +giricgo01,Gordan,Giricek,Philadelphia 76ers,C1,12 +giricgo01,Gordan,Giricek,Phoenix Suns,C1,27 +giricgo01,Gordan,Giricek,Utah Jazz,CS,22 +gomesry01,Ryan,Gomes,Minnesota Timberwolves,,82 +goodedr01,Andrew,Gooden,Chicago Bulls,,18 +goodedr01,Andrew,Gooden,Cleveland Cavaliers,CS,51 +gordobe01,Benjamin,Gordon,Chicago Bulls,,72 +gortama01,Marcin,Gortat,Orlando Magic,CS,14 +grahajo01,Joey,Graham,Toronto Raptors,C1,40 +grahast01,Stephen,Graham,Charlotte Bobcats,,24 +grangda01,Danny,Granger,Indiana Pacers,,79 +grayaa01,Aaron,Gray,Chicago Bulls,,61 +greenge01,Gerald,Green,Houston Rockets,C1,1 +greenge01,Gerald,Green,Minnesota Timberwolves,,29 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Cavaliers,CS,86 +mbengdj01,Didier,Ilunga-Mbenga,Golden State Warriors,,16 +mbengdj01,Didier,Ilunga-Mbenga,Los Angeles Lakers,F,33 +iversal01,Allen,Iverson,Denver Nuggets,C1,86 +iveyro01,Royal,Ivey,Milwaukee Bucks,,75 +jackja01,Jarrett,Jack,Portland Trail Blazers,,82 +jacksbo01,Bobby,Jackson,Houston Rockets,C1,32 +jacksbo01,Bobby,Jackson,New Orleans Hornets,CS,46 +jackslu02,Luke,Jackson,Miami Heat,,14 +jacksst02,Stephen,Jackson,Charlotte Bobcats,,73 +jacobca01,Casey,Jacobsen,Memphis Grizzlies,,53 +jamesje01,Jerome,James,New York Knicks,,2 +jamesle01,LeBron,James,Cleveland Cavaliers,CS,88 +jamesmi01,Michael,James,Houston Rockets,C1,33 +jamesmi01,Michael,James,New Orleans Hornets,CS,25 +jamisan01,Antawn,Jamison,Washington Wizards,C1,85 +jaricma01,Marko,Jaric,Minnesota Timberwolves,,75 +jeffeal01,Al,Jefferson,Minnesota Timberwolves,,82 +jefferi01,Richard,Jefferson,New Jersey Nets,,82 +jeffrja01,Jared,Jeffries,New York Knicks,,72 +johnsal01,Alexander,Johnson,Miami Heat,,44 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Celtics,NC,106 +pietrmi01,Mickael,Pietrus,Golden State Warriors,,66 +pollasc01,Scot,Pollard,Boston Celtics,NC,22 +poseyja01,James,Posey,Boston Celtics,NC,100 +powele01,Leon,Powe,Boston Celtics,NC,79 +poweljo01,Josh,Powell,Los Angeles Clippers,,64 +powelka01,Kasib,Powell,Miami Heat,,11 +pricero01,Ronnie,Price,Utah Jazz,CS,73 +princta01,Tayshaun,Prince,Detroit Pistons,CF,99 +pruitga01,Gabriel,Pruitt,Boston Celtics,NC,15 +przybjo01,Joel,Przybilla,Portland Trail Blazers,,77 +quinnch01,Christopher,Quinn,Miami Heat,,60 +radmavl01,Vladimir,Radmanovic,Charlotte Bobcats,,86 +randosh01,Ronald,Randolph,Philadelphia 76ers,C1,11 +randoza01,Zachary,Randolph,New York Knicks,,70 +ratlith01,Theophalus,Ratliff,Charlotte Bobcats,,38 +reddmi01,Michael,Redd,Milwaukee Bucks,,72 +redicjj01,Jonathan,Redick,Orlando Magic,CS,36 +richach01,Chris,Richard,Minnesota Timberwolves,,52 +richaja01,Jason,Richardson,Charlotte Bobcats,,82 +richaje01,Jeremy,Richardson,Atlanta Hawks,C1,21 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Suns,C1,84 +strawdj01,Darryl,Strawberry,Phoenix Suns,C1,34 +stuckro01,Rodney,Stuckey,Detroit Pistons,CF,74 +swiftro01,Robert,Swift,Seattle Supersonics,,8 +swiftst01,Stromile,Swift,Memphis Grizzlies,,35 +swiftst01,Stromile,Swift,New Jersey Nets,,21 +szczewa02,Walter,Szczerbiak,Cleveland Cavaliers,CS,37 +szczewa02,Walter,Szczerbiak,Seattle Supersonics,,50 +telfase01,Sebastian,Telfair,Minnesota Timberwolves,,60 +terryja01,Jason,Terry,Dallas Mavericks,C1,87 +thomabi01,Billy,Thomas,Cleveland Cavaliers,CS,9 +thomabi01,Billy,Thomas,New Jersey Nets,,4 +thomake01,Kenneth,Thomas,Sacramento Kings,,23 +thomaku01,Kurt,Thomas,San Antonio Spurs,CF,45 +thomaku01,Kurt,Thomas,Seattle Supersonics,,42 +thomati01,Timothy,Thomas,Los Angeles Clippers,,63 +thomaty01,Tyrus,Thomas,Charlotte Bobcats,,74 +thornal01,Al,Thornton,Los Angeles Clippers,,79 +tinslja01,Jamaal,Tinsley,Indiana Pacers,,39 +tuckeal02,Alando,Tucker,Phoenix Suns,C1,6 +turiaro01,Ronny,Turiaf,Los Angeles Lakers,F,97 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Kings,,9 +watsocj01,Charles,Watson,Golden State Warriors,,32 +watsoea01,Earl,Watson,Seattle Supersonics,,78 +webbech01,Mayce,Webber,Golden State Warriors,,9 +webstma02,Martell,Webster,Portland Trail Blazers,,75 +wellsbo01,Gawen,Wells,Houston Rockets,C1,51 +wellsbo01,Gawen,Wells,New Orleans Hornets,CS,34 +westda01,David,West,New Orleans Hornets,CS,88 +westde01,Delonte,West,Cleveland Cavaliers,CS,38 +westde01,Delonte,West,Seattle Supersonics,,35 +westma02,Mario,West,Atlanta Hawks,C1,70 +wilcoch01,Chris,Wilcox,Seattle Supersonics,,62 +wilkida02,Damien,Wilkins,Seattle Supersonics,,76 +wilksmi01,Michael,Wilks,Denver Nuggets,C1,8 +wilksmi01,Michael,Wilks,Seattle Supersonics,,3 +wilksmi01,Michael,Wilks,Washington Wizards,C1,4 +williaa01,Aaron,Williams,Los Angeles Clippers,,30 +willide01,Deron,Williams,Utah Jazz,CS,94 +willija02,Jason,Williams,Miami Heat,,66 +williju01,Justin,Williams,Houston Rockets,C1,1 +williju01,Justin,Williams,Sacramento Kings,,22 +willilo02,Louis,Williams,Philadelphia 76ers,C1,86 +willima03,Marcus,Williams,New Jersey Nets,,54 +willima04,Marcus,Williams,Los Angeles Clippers,,10 +willima04,Marcus,Williams,San Antonio Spurs,CF,1 +willima02,Marvin,Williams,Atlanta Hawks,C1,87 +willima01,Maurice,Williams,Milwaukee Bucks,,66 +willise01,Sean,Williams,New Jersey Nets,,72 +willish03,Shawne,Williams,Indiana Pacers,,65 +willish02,Shelden,Williams,Atlanta Hawks,C1,36 +willish02,Shelden,Williams,Sacramento Kings,,28 +woodslo01,Loren,Woods,Houston Rockets,C1,8 +artesro01,Metta,World Peace,Sacramento Kings,,57 +wrighan01,Antoine,Wright,Dallas Mavericks,C1,16 +wrighan01,Antoine,Wright,New Jersey Nets,,41 +wrighbr03,Brandan,Wright,Golden State Warriors,,37 +wrighdo01,Dorell,Wright,Miami Heat,,44 +wrighju01,Julian,Wright,New Orleans Hornets,CS,67 +wrighlo02,Lorenzen,Wright,Atlanta Hawks,C1,13 +wrighlo02,Lorenzen,Wright,Sacramento Kings,,5 +jianlyi01,Jianlian,Yi,Milwaukee Bucks,,66 +youngni01,Nicholas,Young,Washington Wizards,C1,79 +youngth01,Thaddeus,Young,Philadelphia 76ers,C1,80 diff --git a/tasks/readable/028/task_readable.sql b/tasks/readable/028/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..8ec429fbd7fd15e6baf826f57900e4512e4b2d71 --- /dev/null +++ b/tasks/readable/028/task_readable.sql @@ -0,0 +1,129 @@ +/* +{ + "qid": "028", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "professional_basketball", + "question": "For each player and each team they played for in the 2007 season, show the post-season playoff status and games played.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "post-season playoff status and games played", + "type": "finite", + "ambiguity_type": "syntactic_column", + "interpretations": [ + "post-season playoff status and post-season games played", + "post-season playoff status and all games played" + ], + "intended_interpretation_idx": 1 + } + ], + "gold_intended_query_id": "GQRY-A.1", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0` ----- +/* +{ + "id": "GQRY-A.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2, + 3, + 4, + 5 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] post-season playoff status and games played": "post-season playoff status and post-season games played" + } + } +} +*/ +SELECT +p.playerID, +p.firstName, +p.lastName, +t.name, +t.playoff AS post_season_playoff_status, +SUM(COALESCE(pt.PostGP, 0)) AS post_season_games_played +FROM players_teams pt +JOIN players p ON pt.playerID = p.playerID +JOIN teams t ON pt.tmID = t.tmID AND pt.year = t.year +WHERE pt.year = 2007 +GROUP BY p.playerID, p.firstName, p.lastName, t.tmID, t.name, t.playoff +ORDER BY p.lastName, p.firstName; +/* EXEC RESULT + playerID firstName lastName name post_season_playoff_status post_season_games_played +abdursh01 Julius Abdur-Rahim Sacramento Kings None 0 +afflaar01 Arron Afflalo Detroit Pistons CF 12 + agerma01 Maurice Ager Dallas Mavericks C1 0 + agerma01 Maurice Ager New Jersey Nets None 0 +ahearbl01 Daniel Ahearn Miami Heat None 0 +... TRUNCATED ... +wrighlo02 Lorenzen Wright Atlanta Hawks C1 0 +wrighlo02 Lorenzen Wright Sacramento Kings None 0 +jianlyi01 Jianlian Yi Milwaukee Bucks None 0 +youngni01 Nicholas Young Washington Wizards C1 4 +youngth01 Thaddeus Young Philadelphia 76ers C1 6 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1` ----- +/* +{ + "id": "GQRY-A.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2, + 3, + 4, + 5 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] post-season playoff status and games played": "post-season playoff status and all games played" + } + } +} +*/ +SELECT +p.playerID, +p.firstName, +p.lastName, +t.name, +t.playoff AS post_season_playoff_status, +SUM(pt.GP + COALESCE(pt.PostGP, 0)) AS all_games_played +FROM players_teams pt +JOIN players p ON pt.playerID = p.playerID +JOIN teams t ON pt.tmID = t.tmID AND pt.year = t.year +WHERE pt.year = 2007 +GROUP BY p.playerID, p.firstName, p.lastName, t.tmID, t.name, t.playoff +ORDER BY p.lastName, p.firstName; +/* EXEC RESULT + playerID firstName lastName name post_season_playoff_status all_games_played +abdursh01 Julius Abdur-Rahim Sacramento Kings None 6 +afflaar01 Arron Afflalo Detroit Pistons CF 87 + agerma01 Maurice Ager Dallas Mavericks C1 12 + agerma01 Maurice Ager New Jersey Nets None 14 +ahearbl01 Daniel Ahearn Miami Heat None 10 +... TRUNCATED ... +wrighlo02 Lorenzen Wright Atlanta Hawks C1 13 +wrighlo02 Lorenzen Wright Sacramento Kings None 5 +jianlyi01 Jianlian Yi Milwaukee Bucks None 66 +youngni01 Nicholas Young Washington Wizards C1 79 +youngth01 Thaddeus Young Philadelphia 76ers C1 80 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/029/gold_csv/GQRY-A.0-B.0.csv b/tasks/readable/029/gold_csv/GQRY-A.0-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..2c7ac4e3bd4b1316259fbae13e2c902091e57ef2 --- /dev/null +++ b/tasks/readable/029/gold_csv/GQRY-A.0-B.0.csv @@ -0,0 +1,2 @@ +year,true_shooting_percentage +1989,0.588896526047484 diff --git a/tasks/readable/029/gold_csv/GQRY-A.0-B.1.csv b/tasks/readable/029/gold_csv/GQRY-A.0-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..2c7ac4e3bd4b1316259fbae13e2c902091e57ef2 --- /dev/null +++ b/tasks/readable/029/gold_csv/GQRY-A.0-B.1.csv @@ -0,0 +1,2 @@ +year,true_shooting_percentage +1989,0.588896526047484 diff --git a/tasks/readable/029/gold_csv/GQRY-A.0-B.2.csv b/tasks/readable/029/gold_csv/GQRY-A.0-B.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..245aa213c3113f6710837f2768cb96a0ab075db8 --- /dev/null +++ b/tasks/readable/029/gold_csv/GQRY-A.0-B.2.csv @@ -0,0 +1,2 @@ +year,true_shooting_percentage +1994,0.5499075785582255 diff --git a/tasks/readable/029/gold_csv/GQRY-A.1-B.0.csv b/tasks/readable/029/gold_csv/GQRY-A.1-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..b58d83f5cb98aeed0e9acb010b48e7432f41876e --- /dev/null +++ b/tasks/readable/029/gold_csv/GQRY-A.1-B.0.csv @@ -0,0 +1,2 @@ +year,true_shooting_percentage +1989,0.5135359772025647 diff --git a/tasks/readable/029/gold_csv/GQRY-A.1-B.1.csv b/tasks/readable/029/gold_csv/GQRY-A.1-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..cce59a01e67deb074ca1022499870e266af292f4 --- /dev/null +++ b/tasks/readable/029/gold_csv/GQRY-A.1-B.1.csv @@ -0,0 +1,2 @@ +year,true_shooting_percentage +1989,0.5136986301369864 diff --git a/tasks/readable/029/gold_csv/GQRY-A.1-B.2.csv b/tasks/readable/029/gold_csv/GQRY-A.1-B.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..93a650bccde54f118fdf8727f0954ed68bcf22ee --- /dev/null +++ b/tasks/readable/029/gold_csv/GQRY-A.1-B.2.csv @@ -0,0 +1,2 @@ +year,true_shooting_percentage +1989,0.5 diff --git a/tasks/readable/029/gold_csv/GQRY-A.2-B.0.csv b/tasks/readable/029/gold_csv/GQRY-A.2-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..a7a114b96cdb13035b1923408d4b4136d10e9ef2 --- /dev/null +++ b/tasks/readable/029/gold_csv/GQRY-A.2-B.0.csv @@ -0,0 +1,2 @@ +year,true_shooting_percentage +1992,0.5352311492765557 diff --git a/tasks/readable/029/gold_csv/GQRY-A.2-B.1.csv b/tasks/readable/029/gold_csv/GQRY-A.2-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..e619b09c68b2ddec7db4a5e89054501c1ea69f37 --- /dev/null +++ b/tasks/readable/029/gold_csv/GQRY-A.2-B.1.csv @@ -0,0 +1,2 @@ +year,true_shooting_percentage +1992,0.5304101838755304 diff --git a/tasks/readable/029/gold_csv/GQRY-A.2-B.2.csv b/tasks/readable/029/gold_csv/GQRY-A.2-B.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..bdff0d9eb5c077f7018fceea210e31da2f8b3e30 --- /dev/null +++ b/tasks/readable/029/gold_csv/GQRY-A.2-B.2.csv @@ -0,0 +1,2 @@ +year,true_shooting_percentage +1992,0.5870165745856354 diff --git a/tasks/readable/029/gold_csv/GQRY-A.3-B.0.csv b/tasks/readable/029/gold_csv/GQRY-A.3-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..1389715dc7a8eefc350956abf27f0cf6f5bcd5b1 --- /dev/null +++ b/tasks/readable/029/gold_csv/GQRY-A.3-B.0.csv @@ -0,0 +1,2 @@ +year,true_shooting_percentage +2005,0.5296610169491526 diff --git a/tasks/readable/029/gold_csv/GQRY-A.3-B.1.csv b/tasks/readable/029/gold_csv/GQRY-A.3-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..1389715dc7a8eefc350956abf27f0cf6f5bcd5b1 --- /dev/null +++ b/tasks/readable/029/gold_csv/GQRY-A.3-B.1.csv @@ -0,0 +1,2 @@ +year,true_shooting_percentage +2005,0.5296610169491526 diff --git a/tasks/readable/029/gold_csv/GQRY-A.3-B.2.csv b/tasks/readable/029/gold_csv/GQRY-A.3-B.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..6d500f18a91bb35b600f17d2731bba6442878e59 --- /dev/null +++ b/tasks/readable/029/gold_csv/GQRY-A.3-B.2.csv @@ -0,0 +1,2 @@ +year,true_shooting_percentage +2001,0.6443298969072165 diff --git a/tasks/readable/029/task_readable.sql b/tasks/readable/029/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..dfe789c09d65f5e4556c5259f968a027f95486d8 --- /dev/null +++ b/tasks/readable/029/task_readable.sql @@ -0,0 +1,639 @@ +/* +{ + "qid": "029", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "professional_basketball", + "question": "What is Charles Smith's best true shooting percentage in a season in his career?", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "Charles Smith", + "type": "finite", + "ambiguity_type": "semantic_value", + "interpretations": [ + "Charles Smith from University of Pittsburgh born on July 16, 1965", + "Charles Smith from Georgetown University born on November 29, 1967", + "Charles Smith from Marquette University born on June 14, 1968", + "Charles Smith from University of New Mexico born on August 22, 1975" + ], + "intended_interpretation_idx": 3 + }, + { + "id": "B", + "phrase": "in a season", + "type": "finite", + "ambiguity_type": "semantic_column", + "interpretations": [ + "in a full season", + "in a regular season", + "in a playoff season" + ], + "intended_interpretation_idx": 0 + } + ], + "gold_intended_query_id": "GQRY-A.3-B.0", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0-B.0` ----- +/* +{ + "id": "GQRY-A.0-B.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Charles Smith": "Charles Smith from University of Pittsburgh born on July 16, 1965", + "[B] in a season": "in a full season" + } + } +} +*/ +WITH charles_smith_stats AS ( +SELECT +pt.year, +SUM(pt.points) + SUM(pt.PostPoints) AS total_points, +SUM(pt.fgAttempted) + SUM(pt.PostfgAttempted) AS total_fgAttempted, +SUM(pt.ftAttempted) + SUM(pt.PostftAttempted) AS total_ftAttempted +FROM players_teams pt +JOIN players p ON pt.playerID = p.playerID +WHERE p.firstName = 'Charles' +AND p.lastName = 'Smith' +AND p.birthDate = '1965-07-16' +AND p.college = 'Pittsburgh' +GROUP BY pt.year +) +SELECT +year, +CASE +WHEN total_fgAttempted + 0.44 * total_ftAttempted > 0 +THEN total_points / (2.0 * (total_fgAttempted + 0.44 * total_ftAttempted)) +ELSE 0 +END AS true_shooting_percentage +FROM charles_smith_stats +ORDER BY true_shooting_percentage DESC +LIMIT 1; +/* EXEC RESULT + year true_shooting_percentage + 1989 0.588897 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.1` ----- +/* +{ + "id": "GQRY-A.0-B.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Charles Smith": "Charles Smith from University of Pittsburgh born on July 16, 1965", + "[B] in a season": "in a regular season" + } + } +} +*/ +WITH charles_smith_stats AS ( +SELECT +pt.year, +SUM(pt.points) as total_points, +SUM(pt.fgAttempted) as total_fgAttempted, +SUM(pt.ftAttempted) as total_ftAttempted +FROM players_teams pt +JOIN players p ON pt.playerID = p.playerID +WHERE p.firstName = 'Charles' +AND p.lastName = 'Smith' +AND p.birthDate = '1965-07-16' +AND p.college = 'Pittsburgh' +GROUP BY pt.year +) +SELECT +year, +CASE +WHEN total_fgAttempted + 0.44 * total_ftAttempted > 0 +THEN total_points / (2.0 * (total_fgAttempted + 0.44 * total_ftAttempted)) +ELSE 0 +END AS true_shooting_percentage +FROM charles_smith_stats +ORDER BY true_shooting_percentage DESC +LIMIT 1; +/* EXEC RESULT + year true_shooting_percentage + 1989 0.588897 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.2` ----- +/* +{ + "id": "GQRY-A.0-B.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Charles Smith": "Charles Smith from University of Pittsburgh born on July 16, 1965", + "[B] in a season": "in a playoff season" + } + } +} +*/ +WITH charles_smith_stats AS ( +SELECT +pt.year, +SUM(pt.PostPoints) as total_points, +SUM(pt.PostfgAttempted) as total_fgAttempted, +SUM(pt.PostftAttempted) as total_ftAttempted +FROM players_teams pt +JOIN players p ON pt.playerID = p.playerID +WHERE p.firstName = 'Charles' +AND p.lastName = 'Smith' +AND p.birthDate = '1965-07-16' +AND p.college = 'Pittsburgh' +GROUP BY pt.year +) +SELECT +year, +CASE +WHEN total_fgAttempted + 0.44 * total_ftAttempted > 0 +THEN total_points / (2.0 * (total_fgAttempted + 0.44 * total_ftAttempted)) +ELSE 0 +END AS true_shooting_percentage +FROM charles_smith_stats +ORDER BY true_shooting_percentage DESC +LIMIT 1; +/* EXEC RESULT + year true_shooting_percentage + 1994 0.549908 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.0` ----- +/* +{ + "id": "GQRY-A.1-B.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Charles Smith": "Charles Smith from Georgetown University born on November 29, 1967", + "[B] in a season": "in a full season" + } + } +} +*/ +WITH charles_smith_stats AS ( +SELECT +pt.year, +SUM(pt.points) + SUM(pt.PostPoints) AS total_points, +SUM(pt.fgAttempted) + SUM(pt.PostfgAttempted) AS total_fgAttempted, +SUM(pt.ftAttempted) + SUM(pt.PostftAttempted) AS total_ftAttempted +FROM players_teams pt +JOIN players p ON pt.playerID = p.playerID +WHERE p.firstName = 'Charles' +AND p.lastName = 'Smith' +AND p.birthDate = '1967-11-29' +AND p.college = 'Georgetown' +GROUP BY pt.year +) +SELECT +year, +CASE +WHEN total_fgAttempted + 0.44 * total_ftAttempted > 0 +THEN total_points / (2.0 * (total_fgAttempted + 0.44 * total_ftAttempted)) +ELSE 0 +END AS true_shooting_percentage +FROM charles_smith_stats +ORDER BY true_shooting_percentage DESC +LIMIT 1; +/* EXEC RESULT + year true_shooting_percentage + 1989 0.513536 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.1` ----- +/* +{ + "id": "GQRY-A.1-B.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Charles Smith": "Charles Smith from Georgetown University born on November 29, 1967", + "[B] in a season": "in a regular season" + } + } +} +*/ +WITH charles_smith_stats AS ( +SELECT +pt.year, +SUM(pt.points) as total_points, +SUM(pt.fgAttempted) as total_fgAttempted, +SUM(pt.ftAttempted) as total_ftAttempted +FROM players_teams pt +JOIN players p ON pt.playerID = p.playerID +WHERE p.firstName = 'Charles' +AND p.lastName = 'Smith' +AND p.birthDate = '1967-11-29' +AND p.college = 'Georgetown' +GROUP BY pt.year +) +SELECT +year, +CASE +WHEN total_fgAttempted + 0.44 * total_ftAttempted > 0 +THEN total_points / (2.0 * (total_fgAttempted + 0.44 * total_ftAttempted)) +ELSE 0 +END AS true_shooting_percentage +FROM charles_smith_stats +ORDER BY true_shooting_percentage DESC +LIMIT 1; +/* EXEC RESULT + year true_shooting_percentage + 1989 0.513699 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.2` ----- +/* +{ + "id": "GQRY-A.1-B.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Charles Smith": "Charles Smith from Georgetown University born on November 29, 1967", + "[B] in a season": "in a playoff season" + } + } +} +*/ +WITH charles_smith_stats AS ( +SELECT +pt.year, +SUM(pt.PostPoints) as total_points, +SUM(pt.PostfgAttempted) as total_fgAttempted, +SUM(pt.PostftAttempted) as total_ftAttempted +FROM players_teams pt +JOIN players p ON pt.playerID = p.playerID +WHERE p.firstName = 'Charles' +AND p.lastName = 'Smith' +AND p.birthDate = '1967-11-29' +AND p.college = 'Georgetown' +GROUP BY pt.year +) +SELECT +year, +CASE +WHEN total_fgAttempted + 0.44 * total_ftAttempted > 0 +THEN total_points / (2.0 * (total_fgAttempted + 0.44 * total_ftAttempted)) +ELSE 0 +END AS true_shooting_percentage +FROM charles_smith_stats +ORDER BY true_shooting_percentage DESC +LIMIT 1; +/* EXEC RESULT + year true_shooting_percentage + 1989 0.5 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.2-B.0` ----- +/* +{ + "id": "GQRY-A.2-B.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Charles Smith": "Charles Smith from Marquette University born on June 14, 1968", + "[B] in a season": "in a full season" + } + } +} +*/ +WITH charles_smith_stats AS ( +SELECT +pt.year, +SUM(pt.points) + SUM(pt.PostPoints) AS total_points, +SUM(pt.fgAttempted) + SUM(pt.PostfgAttempted) AS total_fgAttempted, +SUM(pt.ftAttempted) + SUM(pt.PostftAttempted) AS total_ftAttempted +FROM players_teams pt +JOIN players p ON pt.playerID = p.playerID +WHERE p.firstName = 'Charles' +AND p.lastName = 'Smith' +AND p.birthDate = '1968-06-14' +AND p.college = 'Marquette' +GROUP BY pt.year +) +SELECT +year, +CASE +WHEN total_fgAttempted + 0.44 * total_ftAttempted > 0 +THEN total_points / (2.0 * (total_fgAttempted + 0.44 * total_ftAttempted)) +ELSE 0 +END AS true_shooting_percentage +FROM charles_smith_stats +ORDER BY true_shooting_percentage DESC +LIMIT 1; +/* EXEC RESULT + year true_shooting_percentage + 1992 0.535231 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.2-B.1` ----- +/* +{ + "id": "GQRY-A.2-B.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Charles Smith": "Charles Smith from Marquette University born on June 14, 1968", + "[B] in a season": "in a regular season" + } + } +} +*/ +WITH charles_smith_stats AS ( +SELECT +pt.year, +SUM(pt.points) as total_points, +SUM(pt.fgAttempted) as total_fgAttempted, +SUM(pt.ftAttempted) as total_ftAttempted +FROM players_teams pt +JOIN players p ON pt.playerID = p.playerID +WHERE p.firstName = 'Charles' +AND p.lastName = 'Smith' +AND p.birthDate = '1968-06-14' +AND p.college = 'Marquette' +GROUP BY pt.year +) +SELECT +year, +CASE +WHEN total_fgAttempted + 0.44 * total_ftAttempted > 0 +THEN total_points / (2.0 * (total_fgAttempted + 0.44 * total_ftAttempted)) +ELSE 0 +END AS true_shooting_percentage +FROM charles_smith_stats +ORDER BY true_shooting_percentage DESC +LIMIT 1; +/* EXEC RESULT + year true_shooting_percentage + 1992 0.53041 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.2-B.2` ----- +/* +{ + "id": "GQRY-A.2-B.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Charles Smith": "Charles Smith from Marquette University born on June 14, 1968", + "[B] in a season": "in a playoff season" + } + } +} +*/ +WITH charles_smith_stats AS ( +SELECT +pt.year, +SUM(pt.PostPoints) as total_points, +SUM(pt.PostfgAttempted) as total_fgAttempted, +SUM(pt.PostftAttempted) as total_ftAttempted +FROM players_teams pt +JOIN players p ON pt.playerID = p.playerID +WHERE p.firstName = 'Charles' +AND p.lastName = 'Smith' +AND p.birthDate = '1968-06-14' +AND p.college = 'Marquette' +GROUP BY pt.year +) +SELECT +year, +CASE +WHEN total_fgAttempted + 0.44 * total_ftAttempted > 0 +THEN total_points / (2.0 * (total_fgAttempted + 0.44 * total_ftAttempted)) +ELSE 0 +END AS true_shooting_percentage +FROM charles_smith_stats +ORDER BY true_shooting_percentage DESC +LIMIT 1; +/* EXEC RESULT + year true_shooting_percentage + 1992 0.587017 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.3-B.0` ----- +/* +{ + "id": "GQRY-A.3-B.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Charles Smith": "Charles Smith from University of New Mexico born on August 22, 1975", + "[B] in a season": "in a full season" + } + } +} +*/ +WITH charles_smith_stats AS ( +SELECT +pt.year, +SUM(pt.points) + SUM(pt.PostPoints) AS total_points, +SUM(pt.fgAttempted) + SUM(pt.PostfgAttempted) AS total_fgAttempted, +SUM(pt.ftAttempted) + SUM(pt.PostftAttempted) AS total_ftAttempted +FROM players_teams pt +JOIN players p ON pt.playerID = p.playerID +WHERE p.firstName = 'Charles' +AND p.lastName = 'Smith' +AND p.birthDate = '1975-08-22' +AND p.college = 'New Mexico' +GROUP BY pt.year +) +SELECT +year, +CASE +WHEN total_fgAttempted + 0.44 * total_ftAttempted > 0 +THEN total_points / (2.0 * (total_fgAttempted + 0.44 * total_ftAttempted)) +ELSE 0 +END AS true_shooting_percentage +FROM charles_smith_stats +ORDER BY true_shooting_percentage DESC +LIMIT 1; +/* EXEC RESULT + year true_shooting_percentage + 2005 0.529661 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.3-B.1` ----- +/* +{ + "id": "GQRY-A.3-B.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Charles Smith": "Charles Smith from University of New Mexico born on August 22, 1975", + "[B] in a season": "in a regular season" + } + } +} +*/ +WITH charles_smith_stats AS ( +SELECT +pt.year, +SUM(pt.points) as total_points, +SUM(pt.fgAttempted) as total_fgAttempted, +SUM(pt.ftAttempted) as total_ftAttempted +FROM players_teams pt +JOIN players p ON pt.playerID = p.playerID +WHERE p.firstName = 'Charles' +AND p.lastName = 'Smith' +AND p.birthDate = '1975-08-22' +AND p.college = 'New Mexico' +GROUP BY pt.year +) +SELECT +year, +CASE +WHEN total_fgAttempted + 0.44 * total_ftAttempted > 0 +THEN total_points / (2.0 * (total_fgAttempted + 0.44 * total_ftAttempted)) +ELSE 0 +END AS true_shooting_percentage +FROM charles_smith_stats +ORDER BY true_shooting_percentage DESC +LIMIT 1; +/* EXEC RESULT + year true_shooting_percentage + 2005 0.529661 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.3-B.2` ----- +/* +{ + "id": "GQRY-A.3-B.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Charles Smith": "Charles Smith from University of New Mexico born on August 22, 1975", + "[B] in a season": "in a playoff season" + } + } +} +*/ +WITH charles_smith_stats AS ( +SELECT +pt.year, +SUM(pt.PostPoints) as total_points, +SUM(pt.PostfgAttempted) as total_fgAttempted, +SUM(pt.PostftAttempted) as total_ftAttempted +FROM players_teams pt +JOIN players p ON pt.playerID = p.playerID +WHERE p.firstName = 'Charles' +AND p.lastName = 'Smith' +AND p.birthDate = '1975-08-22' +AND p.college = 'New Mexico' +GROUP BY pt.year +) +SELECT +year, +CASE +WHEN total_fgAttempted + 0.44 * total_ftAttempted > 0 +THEN total_points / (2.0 * (total_fgAttempted + 0.44 * total_ftAttempted)) +ELSE 0 +END AS true_shooting_percentage +FROM charles_smith_stats +ORDER BY true_shooting_percentage DESC +LIMIT 1; +/* EXEC RESULT + year true_shooting_percentage + 2001 0.64433 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/030/gold_csv/GQRY-A.0-B.0.csv b/tasks/readable/030/gold_csv/GQRY-A.0-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..d9591c8cde4d061d72b40b84f9c32e666119105f --- /dev/null +++ b/tasks/readable/030/gold_csv/GQRY-A.0-B.0.csv @@ -0,0 +1,41 @@ +playerID,firstName,lastName,total_post_offensive_rebounds,total_post_games_played +beaslch01,Charles,Beasley,1,23 +boonero01,Ronald,Boone,131,84 +bowiean01,Anthony,Bowie,7,40 +bradljo01,Joseph,Bradley,0,0 +carran01,Antoine,Carr,94,107 +combsle01,Edwin,Combs,0,0 +conlege01,Donald,Conley,0,33 +darcehe01,Henry,Darcey,0,0 +dumasri02,Richard,Dumas,36,23 +farmemi01,Don,Farmer,0,27 +giddejr01,Justin,Giddens,0,0 +griffbl01,Blake,Griffin,19,11 +griffta01,Taylor,Griffin,0,0 +henryca01,Carl,Henry,0,1 +hillga01,Gary,Hill,0,9 +humphry01,Ryan,Humphrey,1,3 +jacksda01,Darnell,Jackson,0,5 +kingji01,James,King,0,73 +kingst01,Ronald,King,53,61 +koperbu01,Herbert,Koper,0,0 +maybele01,Orva,Mayberry,0,0 +mcdancl01,Clint,McDaniel,0,0 +mooretr01,Tracy,Moore,0,0 +murrewi01,Willie,Murrell,0,24 +ortonda01,Daniel,Orton,0,4 +overtcl01,Claudell,Overton,0,0 +paineal01,Alva,Paine,0,0 +parmecl01,Clinton,Parmer,0,0 +pricebr01,Hartley,Price,4,9 +pricema01,William,Price,21,47 +reedhu01,Hubert,Reed,0,21 +roberry01,Ryan,Robertson,0,0 +sealssh01,Shea,Seals,0,0 +starkjo01,John,Starks,37,96 +tisdawa01,Wayman,Tisdale,16,22 +udohek01,Ekpedeme,Udoh,0,0 +vannbr01,Bryce,Vann,0,4 +vaughda02,David,Vaughn,0,1 +voskuja01,Robert,Voskuhl,9,6 +willish02,Shelden,Williams,2,8 diff --git a/tasks/readable/030/gold_csv/GQRY-A.0-B.1.csv b/tasks/readable/030/gold_csv/GQRY-A.0-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..2e824f9c7e30d154e8b6a436a8b85480a696aa46 --- /dev/null +++ b/tasks/readable/030/gold_csv/GQRY-A.0-B.1.csv @@ -0,0 +1,13 @@ +playerID,firstName,lastName,total_post_offensive_rebounds,total_post_games_played +boonero01,Ronald,Boone,131,84 +carran01,Antoine,Carr,94,107 +combsle01,Edwin,Combs,0,0 +darcehe01,Henry,Darcey,0,0 +farmemi01,Don,Farmer,0,27 +giddejr01,Justin,Giddens,0,0 +griffbl01,Blake,Griffin,19,11 +griffta01,Taylor,Griffin,0,0 +jacksda01,Darnell,Jackson,0,5 +mooretr01,Tracy,Moore,0,0 +ortonda01,Daniel,Orton,0,4 +willish02,Shelden,Williams,2,8 diff --git a/tasks/readable/030/gold_csv/GQRY-A.1-B.0.csv b/tasks/readable/030/gold_csv/GQRY-A.1-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..d25fc3ebe26ff7618f152516ab418324758a4c46 --- /dev/null +++ b/tasks/readable/030/gold_csv/GQRY-A.1-B.0.csv @@ -0,0 +1,41 @@ +playerID,firstName,lastName,total_post_offensive_rebounds,total_games_played +beaslch01,Charles,Beasley,1,304 +boonero01,Ronald,Boone,131,1125 +bowiean01,Anthony,Bowie,7,501 +bradljo01,Joseph,Bradley,0,80 +carran01,Antoine,Carr,94,1094 +combsle01,Edwin,Combs,0,48 +conlege01,Donald,Conley,0,429 +darcehe01,Henry,Darcey,0,12 +dumasri02,Richard,Dumas,36,125 +farmemi01,Don,Farmer,0,517 +giddejr01,Justin,Giddens,0,38 +griffbl01,Blake,Griffin,19,159 +griffta01,Taylor,Griffin,0,8 +henryca01,Carl,Henry,0,29 +hillga01,Gary,Hill,0,88 +humphry01,Ryan,Humphrey,1,88 +jacksda01,Darnell,Jackson,0,143 +kingji01,James,King,0,680 +kingst01,Ronald,King,53,499 +koperbu01,Herbert,Koper,0,54 +maybele01,Orva,Mayberry,0,496 +mcdancl01,Clint,McDaniel,0,12 +mooretr01,Tracy,Moore,0,119 +murrewi01,Willie,Murrell,0,252 +ortonda01,Daniel,Orton,0,20 +overtcl01,Claudell,Overton,0,24 +paineal01,Alva,Paine,0,5 +parmecl01,Clinton,Parmer,0,10 +pricebr01,Hartley,Price,4,427 +pricema01,William,Price,21,769 +reedhu01,Hubert,Reed,0,500 +roberry01,Ryan,Robertson,0,1 +sealssh01,Shea,Seals,0,4 +starkjo01,John,Starks,37,962 +tisdawa01,Wayman,Tisdale,16,862 +udohek01,Ekpedeme,Udoh,0,119 +vannbr01,Bryce,Vann,0,111 +vaughda02,David,Vaughn,0,119 +voskuja01,Robert,Voskuhl,9,456 +willish02,Shelden,Williams,2,294 diff --git a/tasks/readable/030/gold_csv/GQRY-A.1-B.1.csv b/tasks/readable/030/gold_csv/GQRY-A.1-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..38e7b8eb96333321f77cfc73dad962a89066211a --- /dev/null +++ b/tasks/readable/030/gold_csv/GQRY-A.1-B.1.csv @@ -0,0 +1,13 @@ +playerID,firstName,lastName,total_post_offensive_rebounds,total_games_played +boonero01,Ronald,Boone,131,1125 +carran01,Antoine,Carr,94,1094 +combsle01,Edwin,Combs,0,48 +darcehe01,Henry,Darcey,0,12 +farmemi01,Don,Farmer,0,517 +giddejr01,Justin,Giddens,0,38 +griffbl01,Blake,Griffin,19,159 +griffta01,Taylor,Griffin,0,8 +jacksda01,Darnell,Jackson,0,143 +mooretr01,Tracy,Moore,0,119 +ortonda01,Daniel,Orton,0,20 +willish02,Shelden,Williams,2,294 diff --git a/tasks/readable/030/task_readable.sql b/tasks/readable/030/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..1d5aa497712697203131ed8e1e4d7c1eb43e230b --- /dev/null +++ b/tasks/readable/030/task_readable.sql @@ -0,0 +1,232 @@ +/* +{ + "qid": "030", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "professional_basketball", + "question": "Compute the total post-season offensive rebounds and games played in their career for each player born in Oklahoma.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "total post-season offensive rebounds and games played", + "type": "finite", + "ambiguity_type": "syntactic_column", + "interpretations": [ + "total post-season offensive rebounds and post-season games played", + "total post-season offensive rebounds and all games played" + ], + "intended_interpretation_idx": 1 + }, + { + "id": "B", + "phrase": "Oklahoma", + "type": "finite", + "ambiguity_type": "semantic_column", + "interpretations": [ + "Oklahoma State", + "Oklahoma City" + ], + "intended_interpretation_idx": 1 + } + ], + "gold_intended_query_id": "GQRY-A.1-B.1", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0-B.0` ----- +/* +{ + "id": "GQRY-A.0-B.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2, + 3, + 4 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] total post-season offensive rebounds and games played": "total post-season offensive rebounds and post-season games played", + "[B] Oklahoma": "Oklahoma State" + } + } +} +*/ +SELECT +p.playerID, +p.firstName, +p.lastName, +SUM(pt.PostoRebounds) AS total_post_offensive_rebounds, +COALESCE(SUM(pt.PostGP), 0) AS total_post_games_played +FROM players p +JOIN players_teams pt ON p.playerID = pt.playerID +WHERE p.birthState = 'OK' +GROUP BY p.playerID, p.firstName, p.lastName; +/* EXEC RESULT + playerID firstName lastName total_post_offensive_rebounds total_post_games_played +beaslch01 Charles Beasley 1 23 +boonero01 Ronald Boone 131 84 +bowiean01 Anthony Bowie 7 40 +bradljo01 Joseph Bradley 0 0 + carran01 Antoine Carr 94 107 +... TRUNCATED ... + udohek01 Ekpedeme Udoh 0 0 + vannbr01 Bryce Vann 0 4 +vaughda02 David Vaughn 0 1 +voskuja01 Robert Voskuhl 9 6 +willish02 Shelden Williams 2 8 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.1` ----- +/* +{ + "id": "GQRY-A.0-B.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2, + 3, + 4 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] total post-season offensive rebounds and games played": "total post-season offensive rebounds and post-season games played", + "[B] Oklahoma": "Oklahoma City" + } + } +} +*/ +SELECT +p.playerID, +p.firstName, +p.lastName, +SUM(pt.PostoRebounds) AS total_post_offensive_rebounds, +COALESCE(SUM(pt.PostGP), 0) AS total_post_games_played +FROM players p +JOIN players_teams pt ON p.playerID = pt.playerID +WHERE p.birthCity = 'Oklahoma City' +GROUP BY p.playerID, p.firstName, p.lastName; +/* EXEC RESULT + playerID firstName lastName total_post_offensive_rebounds total_post_games_played +boonero01 Ronald Boone 131 84 + carran01 Antoine Carr 94 107 +combsle01 Edwin Combs 0 0 +darcehe01 Henry Darcey 0 0 +farmemi01 Don Farmer 0 27 +... TRUNCATED ... +griffta01 Taylor Griffin 0 0 +jacksda01 Darnell Jackson 0 5 +mooretr01 Tracy Moore 0 0 +ortonda01 Daniel Orton 0 4 +willish02 Shelden Williams 2 8 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.0` ----- +/* +{ + "id": "GQRY-A.1-B.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2, + 3, + 4 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] total post-season offensive rebounds and games played": "total post-season offensive rebounds and all games played", + "[B] Oklahoma": "Oklahoma State" + } + } +} +*/ +SELECT +p.playerID, +p.firstName, +p.lastName, +SUM(pt.PostoRebounds) AS total_post_offensive_rebounds, +SUM(pt.GP) + COALESCE(SUM(pt.PostGP), 0) AS total_games_played +FROM players p +JOIN players_teams pt ON p.playerID = pt.playerID +WHERE p.birthState = 'OK' +GROUP BY p.playerID, p.firstName, p.lastName; +/* EXEC RESULT + playerID firstName lastName total_post_offensive_rebounds total_games_played +beaslch01 Charles Beasley 1 304 +boonero01 Ronald Boone 131 1125 +bowiean01 Anthony Bowie 7 501 +bradljo01 Joseph Bradley 0 80 + carran01 Antoine Carr 94 1094 +... TRUNCATED ... + udohek01 Ekpedeme Udoh 0 119 + vannbr01 Bryce Vann 0 111 +vaughda02 David Vaughn 0 119 +voskuja01 Robert Voskuhl 9 456 +willish02 Shelden Williams 2 294 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.1` ----- +/* +{ + "id": "GQRY-A.1-B.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2, + 3, + 4 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] total post-season offensive rebounds and games played": "total post-season offensive rebounds and all games played", + "[B] Oklahoma": "Oklahoma City" + } + } +} +*/ +SELECT +p.playerID, +p.firstName, +p.lastName, +SUM(pt.PostoRebounds) AS total_post_offensive_rebounds, +SUM(pt.GP) + COALESCE(SUM(pt.PostGP), 0) AS total_games_played +FROM players p +JOIN players_teams pt ON p.playerID = pt.playerID +WHERE p.birthCity = 'Oklahoma City' +GROUP BY p.playerID, p.firstName, p.lastName; +/* EXEC RESULT + playerID firstName lastName total_post_offensive_rebounds total_games_played +boonero01 Ronald Boone 131 1125 + carran01 Antoine Carr 94 1094 +combsle01 Edwin Combs 0 48 +darcehe01 Henry Darcey 0 12 +farmemi01 Don Farmer 0 517 +... TRUNCATED ... +griffta01 Taylor Griffin 0 8 +jacksda01 Darnell Jackson 0 143 +mooretr01 Tracy Moore 0 119 +ortonda01 Daniel Orton 0 20 +willish02 Shelden Williams 2 294 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/031/gold_csv/GQRY-A.0.csv b/tasks/readable/031/gold_csv/GQRY-A.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..aec107cab15185544ad69bd5ddccd818b746713e --- /dev/null +++ b/tasks/readable/031/gold_csv/GQRY-A.0.csv @@ -0,0 +1,2 @@ +COUNT(DISTINCT coachID) +12 diff --git a/tasks/readable/031/gold_csv/GQRY-A.1.csv b/tasks/readable/031/gold_csv/GQRY-A.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..788376365f3519e5cceab35d07a1be6118620a4a --- /dev/null +++ b/tasks/readable/031/gold_csv/GQRY-A.1.csv @@ -0,0 +1,2 @@ +COUNT(DISTINCT coachID) +1 diff --git a/tasks/readable/031/task_readable.sql b/tasks/readable/031/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..2595168a452f07893f376e07e764b3a5fad0ba34 --- /dev/null +++ b/tasks/readable/031/task_readable.sql @@ -0,0 +1,73 @@ +/* +{ + "qid": "031", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "professional_basketball", + "question": "Count the number of people that have coached for Atlanta.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "Atlanta", + "type": "finite", + "ambiguity_type": "semantic_value", + "interpretations": [ + "Atlanta Hawks (tmID = 'ATL')", + "Atlanta Crackers (tmID = 'ATC')" + ], + "intended_interpretation_idx": 0 + } + ], + "gold_intended_query_id": "GQRY-A.0", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0` ----- +/* +{ + "id": "GQRY-A.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Atlanta": "Atlanta Hawks (tmID = 'ATL')" + } + } +} +*/ +SELECT COUNT(DISTINCT coachID) FROM coaches WHERE tmID = 'ATL'; +/* EXEC RESULT + COUNT(DISTINCT coachID) + 12 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1` ----- +/* +{ + "id": "GQRY-A.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Atlanta": "Atlanta Crackers (tmID = 'ATC')" + } + } +} +*/ +SELECT COUNT(DISTINCT coachID) FROM coaches WHERE tmID = 'ATC'; +/* EXEC RESULT + COUNT(DISTINCT coachID) + 1 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/032/gold_csv/GQRY-B.0.csv b/tasks/readable/032/gold_csv/GQRY-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..5bd81284fba6b3fe736d08c632d1edea322ee1b8 --- /dev/null +++ b/tasks/readable/032/gold_csv/GQRY-B.0.csv @@ -0,0 +1,36 @@ +playerID,firstName,lastName,height +abdulka01,Kareem,Abdul-Jabbar,85.0 +benjabe01,Lenard,Benjamin,84.0 +bowiesa01,Samuel,Bowie,85.0 +bryanwa01,Wallace,Bryant,84.0 +bynuman01,Andrew,Bynum,84.0 +chambwi01,Wilton,Chamberlain,85.0 +closske01,Keith,Closs,87.0 +countme01,Mel,Counts,84.0 +donalja01,James,Donaldson,86.0 +edwarja01,James,Edwards,84.0 +finkeha01,Henry,Finkel,84.0 +gasolpa01,Pau,Gasol Saez,84.0 +gudmupe01,Karl,Gudmundsson,86.0 +mbengdj01,Didier,Ilunga-Mbenga,84.0 +kamanch01,Christopher,Kaman,84.0 +knightr01,Travis,Knight,84.0 +martibo01,Robert,Martin,84.0 +mihmch01,Christopher,Mihm,84.0 +ndiayma02,Mamadou,N'Diaye,84.0 +ndongbo01,Boniface,N'Dong,84.0 +nesslma01,Martin,Nessley,86.0 +nevitch01,Charles,Nevitt,89.0 +onealsh01,Shaquille,O'Neal,85.0 +oldhaja01,Jawann,Oldham,84.0 +olowomi01,Michael,Olowokandi,84.0 +rileyer01,Eric,Riley,84.0 +roberst01,Stanley,Roberts,84.0 +samakso01,Soumaila,Samake,85.0 +sambch01,Cheikh,Samb,85.0 +schindw01,Dwayne,Schintzius,85.0 +smithel01,Elmore,Smith,84.0 +smrekmi01,Michael,Smrek,84.0 +spencel01,Elmore,Spencer,84.0 +vrankst01,Stojan,Vrankovic,86.0 +zhizhwa01,Wang,Zhizhi,84.0 diff --git a/tasks/readable/032/gold_csv/GQRY-B.1.csv b/tasks/readable/032/gold_csv/GQRY-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..b039c39b70ff44909ac938065209116283953651 --- /dev/null +++ b/tasks/readable/032/gold_csv/GQRY-B.1.csv @@ -0,0 +1,2 @@ +playerID,firstName,lastName,height +willike02,Kevin,Willis,84.0 diff --git a/tasks/readable/032/task_readable.sql b/tasks/readable/032/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..76a49ff11bdf229ed7cf0025f17d62f690d282d7 --- /dev/null +++ b/tasks/readable/032/task_readable.sql @@ -0,0 +1,137 @@ +/* +{ + "qid": "032", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "professional_basketball", + "question": "List tall players that have played for NBA teams from Los Angeles.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "tall players", + "type": "infinite", + "ambiguity_type": "semantic_value", + "parameter_name": "height_threshold", + "parameter_dtype": "int", + "parameter_sample_operators": [ + ">", + ">=" + ], + "parameter_sample_values": [ + 84 + ], + "intended_parameter_operator": ">=", + "intended_parameter_value": 84 + }, + { + "id": "B", + "phrase": "tall players that have played for NBA teams from Los Angeles", + "type": "finite", + "ambiguity_type": "syntactic_computation", + "interpretations": [ + "tall players that have played for (NBA teams from Los Angeles)", + "(tall players from Los Angeles) that have played for NBA teams" + ], + "intended_interpretation_idx": 1 + } + ], + "gold_intended_query_id": "GQRY-B.1", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-B.0` ----- +/* +{ + "id": "GQRY-B.0", + "parameter_names": [ + "height_threshold" + ], + "parameter_values": { + "height_threshold": 84 + }, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] tall players": ":height_threshold", + "[B] tall players that have played for NBA teams from Los Angeles": "tall players that have played for (NBA teams from Los Angeles)" + } + } +} +*/ +SELECT DISTINCT +p.playerID, +p.firstName, +p.lastName, +p.height +FROM players p +JOIN players_teams pt ON p.playerID = pt.playerID +JOIN teams t ON pt.tmID = t.tmID AND pt.year = t.year +WHERE t.name IN ('Los Angeles Lakers', 'Los Angeles Clippers') +AND pt.lgID = 'NBA' +AND p.height >= :height_threshold +ORDER BY p.lastName, p.firstName; +/* EXEC RESULT + playerID firstName lastName height +abdulka01 Kareem Abdul-Jabbar 85.0 +benjabe01 Lenard Benjamin 84.0 +bowiesa01 Samuel Bowie 85.0 +bryanwa01 Wallace Bryant 84.0 +bynuman01 Andrew Bynum 84.0 +... TRUNCATED ... +smithel01 Elmore Smith 84.0 +smrekmi01 Michael Smrek 84.0 +spencel01 Elmore Spencer 84.0 +vrankst01 Stojan Vrankovic 86.0 +zhizhwa01 Wang Zhizhi 84.0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-B.1` ----- +/* +{ + "id": "GQRY-B.1", + "parameter_names": [ + "height_threshold" + ], + "parameter_values": { + "height_threshold": 84 + }, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] tall players": ":height_threshold", + "[B] tall players that have played for NBA teams from Los Angeles": "(tall players from Los Angeles) that have played for NBA teams" + } + } +} +*/ +SELECT DISTINCT +p.playerID, +p.firstName, +p.lastName, +p.height +FROM players p +JOIN players_teams pt ON p.playerID = pt.playerID +WHERE p.birthCity = 'Los Angeles' +AND p.height >= :height_threshold +AND pt.lgID = 'NBA' +ORDER BY p.lastName, p.firstName; +/* EXEC RESULT + playerID firstName lastName height +willike02 Kevin Willis 84.0 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/033/gold_csv/GQRY-A.0.csv b/tasks/readable/033/gold_csv/GQRY-A.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..56d0b770e30deb3703fcfef5bb5ebd760d1f057a --- /dev/null +++ b/tasks/readable/033/gold_csv/GQRY-A.0.csv @@ -0,0 +1,2 @@ +playerID,firstName,lastName,pos +smithbi01,William,Smith,G-F diff --git a/tasks/readable/033/gold_csv/GQRY-A.1.csv b/tasks/readable/033/gold_csv/GQRY-A.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..7e48908a3ee165ab0c7acbdc5a5531bf674d5933 --- /dev/null +++ b/tasks/readable/033/gold_csv/GQRY-A.1.csv @@ -0,0 +1,3 @@ +playerID,firstName,lastName,pos +smithbi01,William,Smith,G-F +smithwi02,William,Smith,G diff --git a/tasks/readable/033/task_readable.sql b/tasks/readable/033/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..d6dcb90047e91a0806db518eec08b61cdf2af841 --- /dev/null +++ b/tasks/readable/033/task_readable.sql @@ -0,0 +1,86 @@ +/* +{ + "qid": "033", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "professional_basketball", + "question": "Find all William Smith who played forward and guard.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "played forward and guard", + "type": "finite", + "ambiguity_type": "semantic_computation", + "interpretations": [ + "played both forward and guard ('and' means logical AND)", + "played either forward or guard ('and' means UNION)" + ], + "intended_interpretation_idx": 1 + } + ], + "gold_intended_query_id": "GQRY-A.1", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0` ----- +/* +{ + "id": "GQRY-A.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 0 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] played forward and guard": "played both forward and guard ('and' means logical AND)" + } + } +} +*/ +SELECT DISTINCT playerID, firstName, lastName, pos +FROM players +WHERE firstName = 'William' +AND lastName = 'Smith' +AND (pos LIKE '%F%' AND pos LIKE '%G%'); +/* EXEC RESULT + playerID firstName lastName pos +smithbi01 William Smith G-F +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1` ----- +/* +{ + "id": "GQRY-A.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 0 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] played forward and guard": "played either forward or guard ('and' means UNION)" + } + } +} +*/ +SELECT DISTINCT playerID, firstName, lastName, pos +FROM players +WHERE firstName = 'William' +AND lastName = 'Smith' +AND (pos LIKE '%F%' OR pos LIKE '%G%'); +/* EXEC RESULT + playerID firstName lastName pos +smithbi01 William Smith G-F +smithwi02 William Smith G +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/034/gold_csv/GQRY.csv b/tasks/readable/034/gold_csv/GQRY.csv new file mode 100644 index 0000000000000000000000000000000000000000..fbcd456e4334bef4d0a697fbc4a53a354c06d965 --- /dev/null +++ b/tasks/readable/034/gold_csv/GQRY.csv @@ -0,0 +1,46 @@ +firstName,lastName,pos,race,height +Clifford,Anderson,G-F,B,74.0 +Harry,Barnes,F,B,75.0 +Shannie,Barnett,F-C,B,75.0 +Ronald,Boone,G-F,B,74.0 +Hillery,Brown,F-G,B,75.0 +Anthony,Brown,F-G,B,75.0 +Frederick,Carter,G-F,B,75.0 +George,Crowe,F-C,B,74.0 +Roscoe,Cumberland,F,B,74.0 +Edward,Fleming,G-F,B,75.0 +Alex,Garcia,G-F,B,75.0 +William,Gates,F-G,B,74.0 +Herman,Gilliam,G-F,B,75.0 +Sihugo,Green,G-F,B,74.0 +Harold,Greer,G-F,B,74.0 +Fred,Hilton,G-F,B,74.0 +Warren,Jabali,G-F,B,74.0 +Al,Johnson,F,B,75.0 +William,Jones,F,B,72.0 +Walter,Jones,G-F,B,74.0 +Bobby,Knight,G-F,B,74.0 +Walter,Mangham,F,B,75.0 +Kenneth,McBride,G-F,B,75.0 +Maurice,McHartley,G-F,B,75.0 +Davage,Minor,G-F,B,74.0 +Rodney,Monroe,G-F,B,74.0 +Raleigh,Owens,C,B,75.0 +Jerry,Pettway,G-F,B,75.0 +Charles,Peyton,F-G,B,74.0 +Bernard,Price,F-C,B,75.0 +George,Pruitt,F,B,73.0 +Leroy,Pryor,F-G,B,75.0 +Larry,Robinson,F-G,B,75.0 +Willie,Rogers,G-F,B,75.0 +Rajon,Rondo,F,B,73.0 +Randolph,Smith,G-F,B,75.0 +Theodore,Strong,F-C,B,75.0 +Levern,Tart,G-F,B,74.0 +Oliver,Taylor,G-F,B,74.0 +Thomas,Thacker,G-F,B,74.0 +Horace,Walker,F,B,75.0 +John,Warren,G-F,B,75.0 +Dedric,Willoughby,G-F,B,75.0 +Eddie,Wollen,F,B,0.0 +Charles,Yelverton,G-F,B,74.0 diff --git a/tasks/readable/034/task_readable.sql b/tasks/readable/034/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..3b32874f4ced5d3d10a073d41a53e68c4f5b144b --- /dev/null +++ b/tasks/readable/034/task_readable.sql @@ -0,0 +1,76 @@ +/* +{ + "qid": "034", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "professional_basketball", + "question": "List short Black players who have played in the frontcourt positions.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "short", + "type": "infinite", + "ambiguity_type": "semantic_value", + "parameter_name": "height_threshold", + "parameter_dtype": "int", + "parameter_sample_operators": [ + "<", + "<=" + ], + "parameter_sample_values": [ + 76 + ], + "intended_parameter_operator": "<", + "intended_parameter_value": 76 + } + ], + "gold_intended_query_id": "GQRY", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY` ----- +/* +{ + "id": "GQRY", + "parameter_names": [ + "height_threshold" + ], + "parameter_values": { + "height_threshold": 76 + }, + "other_exec_results": [], + "required_columns": [ + 0, + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] short": ":height_threshold" + } + } +} +*/ +SELECT p.firstName, p.lastName, p.pos, p.race, p.height +FROM players p +WHERE (p.pos LIKE '%F%' OR p.pos LIKE '%C%') +AND p.race = 'B' +AND p.height < :height_threshold; +/* EXEC RESULT +firstName lastName pos race height + Clifford Anderson G-F B 74.0 + Harry Barnes F B 75.0 + Shannie Barnett F-C B 75.0 + Ronald Boone G-F B 74.0 + Hillery Brown F-G B 75.0 +... TRUNCATED ... + Horace Walker F B 75.0 + John Warren G-F B 75.0 + Dedric Willoughby G-F B 75.0 + Eddie Wollen F B 0.0 + Charles Yelverton G-F B 74.0 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/035/gold_csv/GQRY-A.0-B.0.csv b/tasks/readable/035/gold_csv/GQRY-A.0-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..2d2bfe05efc1df134c9e8933f31c9763232916a8 --- /dev/null +++ b/tasks/readable/035/gold_csv/GQRY-A.0-B.0.csv @@ -0,0 +1,2 @@ +COUNT(DISTINCT personID) +1027 diff --git a/tasks/readable/035/gold_csv/GQRY-A.0-B.1.csv b/tasks/readable/035/gold_csv/GQRY-A.0-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..d041fb364af336944ca7f2822cf6b551cda416c6 --- /dev/null +++ b/tasks/readable/035/gold_csv/GQRY-A.0-B.1.csv @@ -0,0 +1,2 @@ +COUNT(DISTINCT personID) +1024 diff --git a/tasks/readable/035/gold_csv/GQRY-A.1-B.0.csv b/tasks/readable/035/gold_csv/GQRY-A.1-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..cc2a2b62f58ae3f82b7812ca8494c83286a9b16e --- /dev/null +++ b/tasks/readable/035/gold_csv/GQRY-A.1-B.0.csv @@ -0,0 +1,2 @@ +COUNT(DISTINCT personID) +220 diff --git a/tasks/readable/035/gold_csv/GQRY-A.1-B.1.csv b/tasks/readable/035/gold_csv/GQRY-A.1-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..78d770000b324ef289a34cba0c9511bb3cedb337 --- /dev/null +++ b/tasks/readable/035/gold_csv/GQRY-A.1-B.1.csv @@ -0,0 +1,2 @@ +COUNT(DISTINCT personID) +133 diff --git a/tasks/readable/035/task_readable.sql b/tasks/readable/035/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..55050770e36b96c7671530333b71024e1d48b27e --- /dev/null +++ b/tasks/readable/035/task_readable.sql @@ -0,0 +1,243 @@ +/* +{ + "qid": "035", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "professional_basketball", + "question": "Count the number of people who played or coached in the NBA finals in the 1990s.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "played or coached in the NBA finals in the 1990s", + "type": "finite", + "ambiguity_type": "syntactic_computation", + "interpretations": [ + "(played in the 1990s) or (coached in the NBA finals in the 1990s)", + "(played or coached) in the NBA finals in the 1990s." + ], + "intended_interpretation_idx": 1 + }, + { + "id": "B", + "phrase": "NBA finals", + "type": "finite", + "ambiguity_type": "semantic_column", + "interpretations": [ + "series_post.round = 'F'", + "teams.playoff = 'F'" + ], + "intended_interpretation_idx": 0 + } + ], + "gold_intended_query_id": "GQRY-A.1-B.0", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0-B.0` ----- +/* +{ + "id": "GQRY-A.0-B.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] played or coached in the NBA finals in the 1990s": "(played in the 1990s) or (coached in the NBA finals in the 1990s)", + "[B] NBA finals": "series_post.round = 'F'" + } + } +} +*/ +WITH players_1990s AS ( +SELECT DISTINCT playerID +FROM players_teams +WHERE year BETWEEN 1990 AND 1999 +), +coaches_finals_1990s AS ( +SELECT DISTINCT c.coachID +FROM coaches c +JOIN series_post sp ON c.tmID = sp.tmIDWinner AND c.year = sp.year +WHERE sp.round = 'F' +AND sp.year BETWEEN 1990 AND 1999 +AND c.lgID = 'NBA' +UNION +SELECT DISTINCT c.coachID +FROM coaches c +JOIN series_post sp ON c.tmID = sp.tmIDLoser AND c.year = sp.year +WHERE sp.round = 'F' +AND sp.year BETWEEN 1990 AND 1999 +AND c.lgID = 'NBA' +), +qualified_people(personID) AS ( +SELECT DISTINCT playerID +FROM players_1990s +UNION +SELECT DISTINCT coachID +FROM coaches_finals_1990s +) +SELECT COUNT(DISTINCT personID) FROM qualified_people; +/* EXEC RESULT + COUNT(DISTINCT personID) + 1027 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.1` ----- +/* +{ + "id": "GQRY-A.0-B.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] played or coached in the NBA finals in the 1990s": "(played in the 1990s) or (coached in the NBA finals in the 1990s)", + "[B] NBA finals": "teams.playoff = 'F'" + } + } +} +*/ +WITH players_1990s AS ( +SELECT DISTINCT playerID +FROM players_teams +WHERE year BETWEEN 1990 AND 1999 +), +coaches_finals_1990s AS ( +SELECT DISTINCT c.coachID +FROM coaches c +JOIN teams t ON c.tmID = t.tmID AND c.year = t.year +WHERE t.playoff = 'F' +AND t.year BETWEEN 1990 AND 1999 +AND t.lgID = 'NBA' +), +qualified_people(personID) AS ( +SELECT DISTINCT playerID +FROM players_1990s +UNION +SELECT DISTINCT coachID +FROM coaches_finals_1990s +) +SELECT COUNT(DISTINCT personID) FROM qualified_people; +/* EXEC RESULT + COUNT(DISTINCT personID) + 1024 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.0` ----- +/* +{ + "id": "GQRY-A.1-B.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] played or coached in the NBA finals in the 1990s": "(played or coached) in the NBA finals in the 1990s.", + "[B] NBA finals": "series_post.round = 'F'" + } + } +} +*/ +WITH players_1990s AS ( +SELECT DISTINCT pt.playerID +FROM players_teams pt +JOIN series_post sp ON pt.tmID = sp.tmIDWinner AND pt.year = sp.year +WHERE sp.round = 'F' +AND sp.year BETWEEN 1990 AND 1999 +AND pt.lgID = 'NBA' +UNION +SELECT DISTINCT pt.playerID +FROM players_teams pt +JOIN series_post sp ON pt.tmID = sp.tmIDLoser AND pt.year = sp.year +WHERE sp.round = 'F' +AND sp.year BETWEEN 1990 AND 1999 +AND pt.lgID = 'NBA' +), +coaches_finals_1990s AS ( +SELECT DISTINCT c.coachID +FROM coaches c +JOIN series_post sp ON c.tmID = sp.tmIDWinner AND c.year = sp.year +WHERE sp.round = 'F' +AND sp.year BETWEEN 1990 AND 1999 +AND c.lgID = 'NBA' +UNION +SELECT DISTINCT c.coachID +FROM coaches c +JOIN series_post sp ON c.tmID = sp.tmIDLoser AND c.year = sp.year +WHERE sp.round = 'F' +AND sp.year BETWEEN 1990 AND 1999 +AND c.lgID = 'NBA' +), +qualified_people(personID) AS ( +SELECT DISTINCT playerID +FROM players_1990s +UNION +SELECT DISTINCT coachID +FROM coaches_finals_1990s +) +SELECT COUNT(DISTINCT personID) FROM qualified_people; +/* EXEC RESULT + COUNT(DISTINCT personID) + 220 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.1` ----- +/* +{ + "id": "GQRY-A.1-B.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] played or coached in the NBA finals in the 1990s": "(played or coached) in the NBA finals in the 1990s.", + "[B] NBA finals": "teams.playoff = 'F'" + } + } +} +*/ +WITH players_1990s AS ( +SELECT DISTINCT pt.playerID +FROM players_teams pt +JOIN teams t ON pt.tmID = t.tmID AND pt.year = t.year +WHERE t.playoff = 'F' +AND t.year BETWEEN 1990 AND 1999 +AND t.lgID = 'NBA' +), +coaches_finals_1990s AS ( +SELECT DISTINCT c.coachID +FROM coaches c +JOIN teams t ON c.tmID = t.tmID AND c.year = t.year +WHERE t.playoff = 'F' +AND t.year BETWEEN 1990 AND 1999 +AND t.lgID = 'NBA' +), +qualified_people(personID) AS ( +SELECT DISTINCT playerID +FROM players_1990s +UNION +SELECT DISTINCT coachID +FROM coaches_finals_1990s +) +SELECT COUNT(DISTINCT personID) FROM qualified_people; +/* EXEC RESULT + COUNT(DISTINCT personID) + 133 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/036/gold_csv/GQRY-A.0-B.0.csv b/tasks/readable/036/gold_csv/GQRY-A.0-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..dc8e105ae56e4e0cd2ed44a97c8d2d9541a3e62d --- /dev/null +++ b/tasks/readable/036/gold_csv/GQRY-A.0-B.0.csv @@ -0,0 +1,4 @@ +repo_name,license,total_merged_prs +ansible/ansible,gpl-3.0,22 +nextcloud/vm,gpl-3.0,1 +openjdk/jdk,gpl-2.0,0 diff --git a/tasks/readable/036/gold_csv/GQRY-A.0-B.1.csv b/tasks/readable/036/gold_csv/GQRY-A.0-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..91ea2d066f8bcd7ab442753d3092907e007ee472 --- /dev/null +++ b/tasks/readable/036/gold_csv/GQRY-A.0-B.1.csv @@ -0,0 +1,4 @@ +repo_name,license,total_merged_prs +ansible/ansible,gpl-3.0,23 +nextcloud/vm,gpl-3.0,1 +openjdk/jdk,gpl-2.0,0 diff --git a/tasks/readable/036/gold_csv/GQRY-A.1-B.0.csv b/tasks/readable/036/gold_csv/GQRY-A.1-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..038279600946fa7c870f6b5da49a3307855531a4 --- /dev/null +++ b/tasks/readable/036/gold_csv/GQRY-A.1-B.0.csv @@ -0,0 +1,8 @@ +repo_name,license,total_merged_prs +tgstation/tgstation,agpl-3.0,51 +ansible/ansible,gpl-3.0,22 +privacyidea/privacyidea,agpl-3.0,2 +nextcloud/vm,gpl-3.0,1 +macedot/scrapyGranja,agpl-3.0,0 +openjdk/jdk,gpl-2.0,0 +Chocobozzz/PeerTube,agpl-3.0,0 diff --git a/tasks/readable/036/gold_csv/GQRY-A.1-B.1.csv b/tasks/readable/036/gold_csv/GQRY-A.1-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..736f1fcea9f0ddcc51555d519deabc110f9fdb92 --- /dev/null +++ b/tasks/readable/036/gold_csv/GQRY-A.1-B.1.csv @@ -0,0 +1,8 @@ +repo_name,license,total_merged_prs +tgstation/tgstation,agpl-3.0,54 +ansible/ansible,gpl-3.0,23 +privacyidea/privacyidea,agpl-3.0,3 +nextcloud/vm,gpl-3.0,1 +macedot/scrapyGranja,agpl-3.0,0 +openjdk/jdk,gpl-2.0,0 +Chocobozzz/PeerTube,agpl-3.0,0 diff --git a/tasks/readable/036/task_readable.sql b/tasks/readable/036/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..2e2255888b1f5ec99ff04b197956ad4a4656c92a --- /dev/null +++ b/tasks/readable/036/task_readable.sql @@ -0,0 +1,284 @@ +/* +{ + "qid": "036", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "github_repos", + "question": "For each repository with a GPL license, count the number of merged PRs created in the period of 2022 and January 2023.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "GPL license", + "type": "finite", + "ambiguity_type": "semantic_value", + "interpretations": [ + "mainline GPL license (gpl-2.0 or gpl-3.0)", + "all GPL variants including AGPL (agpl-3.0) and LGPL (lgpl-2.1 or lgpl-3.0)" + ], + "intended_interpretation_idx": 1 + }, + { + "id": "B", + "phrase": "merged PRs created in the period of 2022 and January 2023", + "type": "finite", + "ambiguity_type": "semantic_computation", + "interpretations": [ + "PRs created and merged in the specified period", + "PRs created in the specified period and later merged" + ], + "intended_interpretation_idx": 0 + } + ], + "gold_intended_query_id": "GQRY-A.1-B.0", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0-B.0` ----- +/* +{ + "id": "GQRY-A.0-B.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 0, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] GPL license": "mainline GPL license (gpl-2.0 or gpl-3.0)", + "[B] merged PRs created in the period of 2022 and January 2023": "PRs created and merged in the specified period" + } + } +} +*/ +WITH gpl_repos AS ( +SELECT grl.repo_name, grl.license +FROM GITHUB_REPOS_LICENSES grl +WHERE grl.license IN ('gpl-2.0', 'gpl-3.0') +), +all_events AS ( +SELECT * FROM YEAR_2022 +UNION ALL +SELECT * FROM MONTH_202301 +), +merged_prs AS ( +SELECT +json_extract(ae.repo, '$.name') AS repo_name, +COUNT(DISTINCT json_extract(ae.payload, '$.pull_request.id')) AS pr_count +FROM all_events ae +WHERE ae.type = 'PullRequestEvent' +AND json_extract(ae.payload, '$.action') = 'closed' +AND json_extract(ae.payload, '$.pull_request.merged') = true +AND ( +json_extract(ae.payload, '$.pull_request.created_at') LIKE '2022%' +OR json_extract(ae.payload, '$.pull_request.created_at') LIKE '2023-01%' +) +GROUP BY repo_name +) +SELECT +gr.repo_name, +gr.license, +COALESCE(mp.pr_count, 0) AS total_merged_prs +FROM gpl_repos gr +LEFT JOIN merged_prs mp ON gr.repo_name = mp.repo_name +ORDER BY total_merged_prs DESC; +/* EXEC RESULT + repo_name license total_merged_prs +ansible/ansible gpl-3.0 22 + nextcloud/vm gpl-3.0 1 + openjdk/jdk gpl-2.0 0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.1` ----- +/* +{ + "id": "GQRY-A.0-B.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 0, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] GPL license": "mainline GPL license (gpl-2.0 or gpl-3.0)", + "[B] merged PRs created in the period of 2022 and January 2023": "PRs created in the specified period and later merged" + } + } +} +*/ +WITH gpl_repos AS ( +SELECT grl.repo_name, grl.license +FROM GITHUB_REPOS_LICENSES grl +WHERE grl.license IN ('gpl-2.0', 'gpl-3.0') +), +all_events AS ( +SELECT * FROM YEAR_2022 +UNION ALL +SELECT * FROM YEAR_2023 +), +merged_prs AS ( +SELECT +json_extract(ae.repo, '$.name') AS repo_name, +COUNT(DISTINCT json_extract(ae.payload, '$.pull_request.id')) AS pr_count +FROM all_events ae +WHERE ae.type = 'PullRequestEvent' +AND json_extract(ae.payload, '$.action') = 'closed' +AND json_extract(ae.payload, '$.pull_request.merged') = true +AND ( +json_extract(ae.payload, '$.pull_request.created_at') LIKE '2022%' +OR json_extract(ae.payload, '$.pull_request.created_at') LIKE '2023-01%' +) +GROUP BY repo_name +) +SELECT +gr.repo_name, +gr.license, +COALESCE(mp.pr_count, 0) AS total_merged_prs +FROM gpl_repos gr +LEFT JOIN merged_prs mp ON gr.repo_name = mp.repo_name +ORDER BY total_merged_prs DESC; +/* EXEC RESULT + repo_name license total_merged_prs +ansible/ansible gpl-3.0 23 + nextcloud/vm gpl-3.0 1 + openjdk/jdk gpl-2.0 0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.0` ----- +/* +{ + "id": "GQRY-A.1-B.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 0, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] GPL license": "all GPL variants including AGPL (agpl-3.0) and LGPL (lgpl-2.1 or lgpl-3.0)", + "[B] merged PRs created in the period of 2022 and January 2023": "PRs created and merged in the specified period" + } + } +} +*/ +WITH gpl_repos AS ( +SELECT grl.repo_name, grl.license +FROM GITHUB_REPOS_LICENSES grl +WHERE grl.license IN ('agpl-3.0', 'gpl-2.0', 'gpl-3.0', 'lgpl-2.1', 'lgpl-3.0') +), +all_events AS ( +SELECT * FROM YEAR_2022 +UNION ALL +SELECT * FROM MONTH_202301 +), +merged_prs AS ( +SELECT +json_extract(ae.repo, '$.name') AS repo_name, +COUNT(DISTINCT json_extract(ae.payload, '$.pull_request.id')) AS pr_count +FROM all_events ae +WHERE ae.type = 'PullRequestEvent' +AND json_extract(ae.payload, '$.action') = 'closed' +AND json_extract(ae.payload, '$.pull_request.merged') = true +AND ( +json_extract(ae.payload, '$.pull_request.created_at') LIKE '2022%' +OR json_extract(ae.payload, '$.pull_request.created_at') LIKE '2023-01%' +) +GROUP BY repo_name +) +SELECT +gr.repo_name, +gr.license, +COALESCE(mp.pr_count, 0) AS total_merged_prs +FROM gpl_repos gr +LEFT JOIN merged_prs mp ON gr.repo_name = mp.repo_name +ORDER BY total_merged_prs DESC; +/* EXEC RESULT + repo_name license total_merged_prs + tgstation/tgstation agpl-3.0 51 + ansible/ansible gpl-3.0 22 +privacyidea/privacyidea agpl-3.0 2 + nextcloud/vm gpl-3.0 1 + macedot/scrapyGranja agpl-3.0 0 + openjdk/jdk gpl-2.0 0 + Chocobozzz/PeerTube agpl-3.0 0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.1` ----- +/* +{ + "id": "GQRY-A.1-B.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 0, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] GPL license": "all GPL variants including AGPL (agpl-3.0) and LGPL (lgpl-2.1 or lgpl-3.0)", + "[B] merged PRs created in the period of 2022 and January 2023": "PRs created in the specified period and later merged" + } + } +} +*/ +WITH gpl_repos AS ( +SELECT grl.repo_name, grl.license +FROM GITHUB_REPOS_LICENSES grl +WHERE grl.license IN ('agpl-3.0', 'gpl-2.0', 'gpl-3.0', 'lgpl-2.1', 'lgpl-3.0') +), +all_events AS ( +SELECT * FROM YEAR_2022 +UNION ALL +SELECT * FROM YEAR_2023 +), +merged_prs AS ( +SELECT +json_extract(ae.repo, '$.name') AS repo_name, +COUNT(DISTINCT json_extract(ae.payload, '$.pull_request.id')) AS pr_count +FROM all_events ae +WHERE ae.type = 'PullRequestEvent' +AND json_extract(ae.payload, '$.action') = 'closed' +AND json_extract(ae.payload, '$.pull_request.merged') = true +AND ( +json_extract(ae.payload, '$.pull_request.created_at') LIKE '2022%' +OR json_extract(ae.payload, '$.pull_request.created_at') LIKE '2023-01%' +) +GROUP BY repo_name +) +SELECT +gr.repo_name, +gr.license, +COALESCE(mp.pr_count, 0) AS total_merged_prs +FROM gpl_repos gr +LEFT JOIN merged_prs mp ON gr.repo_name = mp.repo_name +ORDER BY total_merged_prs DESC; +/* EXEC RESULT + repo_name license total_merged_prs + tgstation/tgstation agpl-3.0 54 + ansible/ansible gpl-3.0 23 +privacyidea/privacyidea agpl-3.0 3 + nextcloud/vm gpl-3.0 1 + macedot/scrapyGranja agpl-3.0 0 + openjdk/jdk gpl-2.0 0 + Chocobozzz/PeerTube agpl-3.0 0 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/037/gold_csv/GQRY-B.0.csv b/tasks/readable/037/gold_csv/GQRY-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..a18f82e8929821a710dea09719e27d77088107ab --- /dev/null +++ b/tasks/readable/037/gold_csv/GQRY-B.0.csv @@ -0,0 +1,30 @@ +repo_name,issues_opened,license +leo424y/heysiri.ml,340, +flutter/flutter,145,bsd-3-clause +MicrosoftDocs/azure-docs,113, +herrphon/upptime,99, +home-assistant/core,97, +unifyai/ivy,51, +appsmithorg/appsmith,48, +o3de/o3de,40, +ksAutotests/TutorialAdminErrors,34, +istio/istio,19,apache-2.0 +gitpod-io/gitpod,17, +CDCgov/prime-reportstream,16, +Automattic/jetpack,15, +redpanda-data/redpanda,15, +risingwavelabs/risingwave,14, +rstudio/rstudio,14, +AirSkyBoat/AirSkyBoat,13, +Alderon-Games/pathoftitans-bugs,13, +getsentry/sentry,13, +tgstation/tgstation,13,agpl-3.0 +taichi-dev/taichi,12, +bevyengine/bevy,11, +equinor/energyvision,11, +mantinedev/mantine,11, +singularity-data/risingwave,10, +scikit-learn/scikit-learn,9,bsd-3-clause +Esri/calcite-components,8, +ToolJet/ToolJet,8, +antvis/X6,8, diff --git a/tasks/readable/037/gold_csv/GQRY-B.1.csv b/tasks/readable/037/gold_csv/GQRY-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..21f2e5818503c45e980c6523a37718fda1beb818 --- /dev/null +++ b/tasks/readable/037/gold_csv/GQRY-B.1.csv @@ -0,0 +1,32 @@ +repo_name,issues_opened,license +leo424y/heysiri.ml,340, +flutter/flutter,149,bsd-3-clause +MicrosoftDocs/azure-docs,114, +herrphon/upptime,99, +home-assistant/core,99, +unifyai/ivy,59, +appsmithorg/appsmith,53, +o3de/o3de,40, +ksAutotests/TutorialAdminErrors,34, +istio/istio,19,apache-2.0 +gitpod-io/gitpod,18, +CDCgov/prime-reportstream,17, +Automattic/jetpack,16, +redpanda-data/redpanda,16, +Alderon-Games/pathoftitans-bugs,14, +risingwavelabs/risingwave,14, +rstudio/rstudio,14, +tgstation/tgstation,14,agpl-3.0 +AirSkyBoat/AirSkyBoat,13, +getsentry/sentry,13, +taichi-dev/taichi,12, +bevyengine/bevy,11, +equinor/energyvision,11, +mantinedev/mantine,11, +singularity-data/risingwave,11, +eclipse-openj9/openj9,9, +scikit-learn/scikit-learn,9,bsd-3-clause +tloncorp/landscape-apps,9, +Esri/calcite-components,8, +ToolJet/ToolJet,8, +antvis/X6,8, diff --git a/tasks/readable/037/task_readable.sql b/tasks/readable/037/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..02eb7d0bcde90d78262c721826552b4959d9e517 --- /dev/null +++ b/tasks/readable/037/task_readable.sql @@ -0,0 +1,152 @@ +/* +{ + "qid": "037", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "github_repos", + "question": "List all repository names with many issues opened in 2022, provide the corresponding issue count and the license for each repository.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "many", + "type": "infinite", + "ambiguity_type": "semantic_value", + "parameter_name": "issue_count_threshold", + "parameter_dtype": "int", + "parameter_sample_operators": [ + ">", + ">=" + ], + "parameter_sample_values": [ + 7 + ], + "intended_parameter_operator": ">", + "intended_parameter_value": 7 + }, + { + "id": "B", + "phrase": "issues opened", + "type": "finite", + "ambiguity_type": "semantic_value", + "interpretations": [ + "issues created", + "issues created or reopened" + ], + "intended_interpretation_idx": 1 + } + ], + "gold_intended_query_id": "GQRY-B.1", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-B.0` ----- +/* +{ + "id": "GQRY-B.0", + "parameter_names": [ + "issue_count_threshold" + ], + "parameter_values": { + "issue_count_threshold": 7 + }, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] issues opened": "issues created", + "[B] many": ":issue_count_threshold" + } + } +} +*/ +WITH issue_counts AS ( +SELECT +json_extract(repo, '$.name') AS repo_name, +COUNT(DISTINCT json_extract(payload, '$.issue.id')) AS issues_opened +FROM YEAR_2022 +WHERE type = 'IssuesEvent' +AND json_extract(payload, '$.action') = 'opened' +GROUP BY repo_name +HAVING issues_opened > :issue_count_threshold +) +SELECT +ic.repo_name, +ic.issues_opened, +gl.license +FROM issue_counts ic +LEFT JOIN GITHUB_REPOS_LICENSES gl ON ic.repo_name = gl.repo_name +ORDER BY ic.issues_opened DESC; +/* EXEC RESULT + repo_name issues_opened license + leo424y/heysiri.ml 340 None + flutter/flutter 145 bsd-3-clause + MicrosoftDocs/azure-docs 113 None + herrphon/upptime 99 None + home-assistant/core 97 None +... TRUNCATED ... +singularity-data/risingwave 10 None + scikit-learn/scikit-learn 9 bsd-3-clause + Esri/calcite-components 8 None + ToolJet/ToolJet 8 None + antvis/X6 8 None +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-B.1` ----- +/* +{ + "id": "GQRY-B.1", + "parameter_names": [ + "issue_count_threshold" + ], + "parameter_values": { + "issue_count_threshold": 7 + }, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] issues opened": "issues created or reopened", + "[B] many": ":issue_count_threshold" + } + } +} +*/ +WITH issue_counts AS ( +SELECT +json_extract(repo, '$.name') AS repo_name, +COUNT(DISTINCT json_extract(payload, '$.issue.id')) AS issues_opened +FROM YEAR_2022 +WHERE type = 'IssuesEvent' +AND json_extract(payload, '$.action') IN ('opened', 'reopened') +GROUP BY repo_name +HAVING issues_opened > :issue_count_threshold +) +SELECT +ic.repo_name, +ic.issues_opened, +gl.license +FROM issue_counts ic +LEFT JOIN GITHUB_REPOS_LICENSES gl ON ic.repo_name = gl.repo_name +ORDER BY ic.issues_opened DESC; +/* EXEC RESULT + repo_name issues_opened license + leo424y/heysiri.ml 340 None + flutter/flutter 149 bsd-3-clause + MicrosoftDocs/azure-docs 114 None + herrphon/upptime 99 None + home-assistant/core 99 None +... TRUNCATED ... +scikit-learn/scikit-learn 9 bsd-3-clause + tloncorp/landscape-apps 9 None + Esri/calcite-components 8 None + ToolJet/ToolJet 8 None + antvis/X6 8 None +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/038/gold_csv/GQRY-A.0.csv b/tasks/readable/038/gold_csv/GQRY-A.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..3a849102abcc75ab964f450c069f83728e8c5038 --- /dev/null +++ b/tasks/readable/038/gold_csv/GQRY-A.0.csv @@ -0,0 +1,69 @@ +language,repo_count +Shell,23 +Python,17 +HTML,15 +JavaScript,13 +Makefile,11 +CSS,11 +TypeScript,9 +Dockerfile,9 +C,8 +Batchfile,8 +PowerShell,7 +C++,7 +SCSS,6 +C#,6 +Roff,5 +Java,5 +Go,5 +Ruby,4 +PHP,4 +Objective-C,4 +CMake,4 +Perl,3 +XSLT,2 +Swift,2 +Procfile,2 +M4,2 +Less,2 +Kotlin,2 +Jinja,2 +EJS,2 +DTrace,2 +Awk,2 +sed,1 +Vim Script,1 +Thrift,1 +TSQL,1 +Stylus,1 +SourcePawn,1 +Smarty,1 +Smalltalk,1 +Rust,1 +Rich Text Format,1 +Red,1 +Pug,1 +Objective-C++,1 +Mustache,1 +Metal,1 +Meson,1 +Mathematica,1 +Mako,1 +Lua,1 +LLVM,1 +Hack,1 +Gherkin,1 +GLSL,1 +GDB,1 +Emacs Lisp,1 +Dart,1 +DM,1 +DIGITAL Command Language,1 +D,1 +Cython,1 +Clojure,1 +Cap'n Proto,1 +Assembly,1 +AppleScript,1 +ASP.NET,1 +ANTLR,1 diff --git a/tasks/readable/038/gold_csv/GQRY-A.1.csv b/tasks/readable/038/gold_csv/GQRY-A.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..dfb78a1cf7a5fca2d27da3e92295904d4946ad15 --- /dev/null +++ b/tasks/readable/038/gold_csv/GQRY-A.1.csv @@ -0,0 +1,69 @@ +language,total_bytes +Java,362286468 +C++,125714549 +Dart,51466905 +C,49161436 +Swift,41460716 +Python,37052801 +DM,30137527 +C#,26528891 +JavaScript,24264029 +Go,12604773 +TypeScript,11383080 +Assembly,11179317 +HTML,6756724 +Shell,2861171 +Objective-C,2532046 +CMake,1284627 +XSLT,1259297 +Roff,817052 +Hack,810507 +M4,804770 +PowerShell,779823 +SCSS,751632 +Cython,669600 +Clojure,584871 +CSS,564579 +Makefile,412874 +Less,320570 +Ruby,206648 +Rich Text Format,171908 +Objective-C++,166236 +Gherkin,100786 +Batchfile,77517 +LLVM,74481 +Rust,67715 +EJS,64603 +PHP,62428 +Emacs Lisp,57637 +Jinja,41088 +DIGITAL Command Language,36034 +DTrace,34815 +Perl,33866 +Mathematica,33636 +Awk,32876 +Metal,32216 +Cap'n Proto,21389 +Vim Script,20025 +Pug,19092 +Thrift,17840 +Meson,14771 +Dockerfile,14328 +Kotlin,10848 +Mustache,9447 +Smarty,7998 +Lua,5942 +GDB,5042 +GLSL,3963 +sed,3129 +AppleScript,2473 +ASP.NET,1293 +D,1107 +TSQL,595 +ANTLR,487 +Mako,412 +Red,396 +SourcePawn,222 +Stylus,206 +Procfile,110 +Smalltalk,4 diff --git a/tasks/readable/038/task_readable.sql b/tasks/readable/038/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..238daeb2603e00f51df485ea5f4d5e00969b7ccb --- /dev/null +++ b/tasks/readable/038/task_readable.sql @@ -0,0 +1,113 @@ +/* +{ + "qid": "038", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "github_repos", + "question": "Show all programming languages and their total usage in GITHUB_REPOS_LANGUAGES.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "total usage", + "type": "finite", + "ambiguity_type": "semantic_computation", + "interpretations": [ + "total number of repositories", + "total number of bytes" + ], + "intended_interpretation_idx": 0 + } + ], + "gold_intended_query_id": "GQRY-A.0", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0` ----- +/* +{ + "id": "GQRY-A.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] total usage": "total number of repositories" + } + } +} +*/ +WITH language_repos AS ( +SELECT repo_name, +json_extract(j.value, '$.name') AS language, +json_extract(j.value, '$.bytes') AS bytes +FROM GITHUB_REPOS_LANGUAGES, +json_each(GITHUB_REPOS_LANGUAGES.language) j +) +SELECT language, COUNT(DISTINCT repo_name) AS repo_count +FROM language_repos +GROUP BY language +ORDER BY repo_count DESC; +/* EXEC RESULT + language repo_count + Shell 23 + Python 17 + HTML 15 + JavaScript 13 + Makefile 11 +... TRUNCATED ... +Cap'n Proto 1 + Assembly 1 +AppleScript 1 + ASP.NET 1 + ANTLR 1 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1` ----- +/* +{ + "id": "GQRY-A.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] total usage": "total number of bytes" + } + } +} +*/ +WITH language_repos AS ( +SELECT repo_name, +json_extract(j.value, '$.name') AS language, +json_extract(j.value, '$.bytes') AS bytes +FROM GITHUB_REPOS_LANGUAGES, +json_each(GITHUB_REPOS_LANGUAGES.language) j +) +SELECT language, SUM(bytes) AS total_bytes +FROM language_repos +GROUP BY language +ORDER BY total_bytes DESC; +/* EXEC RESULT + language total_bytes + Java 362286468 + C++ 125714549 + Dart 51466905 + C 49161436 + Swift 41460716 +... TRUNCATED ... + Red 396 +SourcePawn 222 + Stylus 206 + Procfile 110 + Smalltalk 4 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/039/gold_csv/GQRY-A.0.csv b/tasks/readable/039/gold_csv/GQRY-A.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..7e390adc0a0f5dc5a0bb75336ca46a250b0c2a78 --- /dev/null +++ b/tasks/readable/039/gold_csv/GQRY-A.0.csv @@ -0,0 +1,21 @@ +user,event_count +LombiqBot,23522 +github-actions[bot],5471 +ivy-root,4954 +aws-connector-for-github[bot],2822 +happyfish2024,2564 +WolseyBankWitness,2271 +Helikopter-Bojowy,2249 +brokjad,2155 +Hall-1910,2138 +Rolleander,1824 +yanonono,1442 +brocjad,1092 +ideallya,960 +milesholt,807 +zsswewsssw,787 +rreichl90,761 +algotables,700 +chrismailer,697 +wweuwsaq,672 +mhutchinson-witness,592 diff --git a/tasks/readable/039/gold_csv/GQRY-A.1.csv b/tasks/readable/039/gold_csv/GQRY-A.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..ebc59a145a5d3f53fe18289fbe111de6a445d904 --- /dev/null +++ b/tasks/readable/039/gold_csv/GQRY-A.1.csv @@ -0,0 +1,21 @@ +user,event_count +LombiqBot,167231 +github-actions[bot],38226 +aws-connector-for-github[bot],16979 +brokjad,16224 +milesholt,15051 +Hall-1910,14136 +ivy-root,13580 +Helikopter-Bojowy,13009 +yanonono,12149 +greghell,11547 +WolseyBankWitness,10214 +hotspot2023,9173 +networkoperator-gittest,7014 +mhutchinson-witness,6406 +algotables,6212 +ideallya,5396 +rreichl90,4857 +bsc-predict,4801 +happyfish2024,4703 +Rolleander,4400 diff --git a/tasks/readable/039/task_readable.sql b/tasks/readable/039/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..319280157d0d3bcc489558d976463df5db8ff490 --- /dev/null +++ b/tasks/readable/039/task_readable.sql @@ -0,0 +1,121 @@ +/* +{ + "qid": "039", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "github_repos", + "question": "Show the top 20 user names that contribute most events in January 2023 and 2022.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "January 2023 and 2022", + "type": "finite", + "ambiguity_type": "syntactic_table", + "interpretations": [ + "January 2023 and January 2022", + "January 2023 and the entire 2022" + ], + "intended_interpretation_idx": 0 + } + ], + "gold_intended_query_id": "GQRY-A.0", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0` ----- +/* +{ + "id": "GQRY-A.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 0 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] January 2023 and 2022": "January 2023 and January 2022" + } + } +} +*/ +WITH stats AS ( +SELECT json_extract(actor, '$.login') AS user, COUNT(*) AS event_count +FROM ( +SELECT * FROM MONTH_202301 +UNION ALL +SELECT * FROM MONTH_202201 +) t +GROUP BY user +) +SELECT user, event_count +FROM stats +ORDER BY event_count DESC +LIMIT 20; +/* EXEC RESULT + user event_count + LombiqBot 23522 + github-actions[bot] 5471 + ivy-root 4954 +aws-connector-for-github[bot] 2822 + happyfish2024 2564 +... TRUNCATED ... + rreichl90 761 + algotables 700 + chrismailer 697 + wweuwsaq 672 + mhutchinson-witness 592 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1` ----- +/* +{ + "id": "GQRY-A.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 0 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] January 2023 and 2022": "January 2023 and the entire 2022" + } + } +} +*/ +WITH stats AS ( +SELECT json_extract(actor, '$.login') AS user, COUNT(*) AS event_count +FROM ( +SELECT * FROM MONTH_202301 +UNION ALL +SELECT * FROM YEAR_2022 +) t +GROUP BY user +) +SELECT user, event_count +FROM stats +ORDER BY event_count DESC +LIMIT 20; +/* EXEC RESULT + user event_count + LombiqBot 167231 + github-actions[bot] 38226 +aws-connector-for-github[bot] 16979 + brokjad 16224 + milesholt 15051 +... TRUNCATED ... + ideallya 5396 + rreichl90 4857 + bsc-predict 4801 + happyfish2024 4703 + Rolleander 4400 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/040/gold_csv/GQRY.csv b/tasks/readable/040/gold_csv/GQRY.csv new file mode 100644 index 0000000000000000000000000000000000000000..8b824f7bbf3abeb42dbac88e218fdea19d30d6f4 --- /dev/null +++ b/tasks/readable/040/gold_csv/GQRY.csv @@ -0,0 +1,58 @@ +repo_id,cnt_2022,cnt_2023,diff +571344774,499,10864,10365 +511095846,4,8919,8915 +330914717,8856,16179,7323 +561366239,48,6120,6072 +429551228,4405,10081,5676 +575386595,2139,7319,5180 +535755772,1009,4706,3697 +486866465,1892,4964,3072 +494617035,5512,8457,2945 +543738826,821,3698,2877 +579154294,35,1517,1482 +418848852,7543,8958,1415 +399381031,107,1098,991 +362203021,2646,3606,960 +164409575,454,1371,917 +487701186,321,847,526 +304596522,1063,1529,466 +510397814,2373,2772,399 +222224176,340,736,396 +516455152,144,499,355 +562819750,75,409,334 +444281361,331,608,277 +484192352,192,466,274 +501695379,138,405,267 +545560228,56,319,263 +368699761,368,624,256 +369889417,166,422,256 +546928185,57,312,255 +333307795,424,658,234 +415095604,323,545,222 +390209514,381,599,218 +409344435,1014,1218,204 +390561637,271,461,190 +480974635,191,381,190 +390217875,289,466,177 +323109016,116,283,167 +390215971,251,417,166 +408894306,7,172,165 +368769160,125,285,160 +475704453,83,228,145 +572375421,17,162,145 +390208391,357,492,135 +19853934,726,860,134 +505863404,113,241,128 +298596555,482,601,119 +518132441,73,178,105 +405286017,297,396,99 +873328,285,377,92 +457386152,180,271,91 +341389536,207,297,90 +385301755,187,277,90 +459770643,185,274,89 +229130005,174,262,88 +406918379,401,483,82 +465250207,641,723,82 +579673939,12,92,80 +380057700,133,209,76 diff --git a/tasks/readable/040/task_readable.sql b/tasks/readable/040/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..af8c8d3cafb6f111d0a0ce0df47869595355c929 --- /dev/null +++ b/tasks/readable/040/task_readable.sql @@ -0,0 +1,91 @@ +/* +{ + "qid": "040", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "github_repos", + "question": "Find all repository IDs that experienced rapid increase in push based on absolute change from 2022 to 2023.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "rapid increase in push", + "type": "infinite", + "ambiguity_type": "semantic_value", + "parameter_name": "push_threshold", + "parameter_dtype": "int", + "parameter_sample_operators": [ + ">", + ">=" + ], + "parameter_sample_values": [ + 70 + ], + "intended_parameter_operator": ">=", + "intended_parameter_value": 70 + } + ], + "gold_intended_query_id": "GQRY", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY` ----- +/* +{ + "id": "GQRY", + "parameter_names": [ + "push_threshold" + ], + "parameter_values": { + "push_threshold": 70 + }, + "other_exec_results": [], + "required_columns": [ + 0 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] rapid increase in push": ":push_threshold" + } + } +} +*/ +WITH w2022 AS ( +SELECT json_extract(repo, '$.id') AS repo_id, COUNT(*) AS cnt_2022 +FROM YEAR_2022 +WHERE type = 'PushEvent' +GROUP BY repo_id +), +w2023 AS ( +SELECT json_extract(repo, '$.id') AS repo_id, COUNT(*) AS cnt_2023 +FROM YEAR_2023 +WHERE type = 'PushEvent' +GROUP BY repo_id +) +SELECT +w2022.repo_id AS repo_id, +w2022.cnt_2022 AS cnt_2022, +w2023.cnt_2023 AS cnt_2023, +w2023.cnt_2023 - w2022.cnt_2022 AS diff +FROM w2022 +JOIN w2023 ON w2022.repo_id = w2023.repo_id +WHERE w2023.cnt_2023 - w2022.cnt_2022 >= :push_threshold +ORDER BY w2023.cnt_2023 - w2022.cnt_2022 DESC; +/* EXEC RESULT + repo_id cnt_2022 cnt_2023 diff +571344774 499 10864 10365 +511095846 4 8919 8915 +330914717 8856 16179 7323 +561366239 48 6120 6072 +429551228 4405 10081 5676 +... TRUNCATED ... +229130005 174 262 88 +406918379 401 483 82 +465250207 641 723 82 +579673939 12 92 80 +380057700 133 209 76 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/041/gold_csv/GQRY-A.0-B.0.csv b/tasks/readable/041/gold_csv/GQRY-A.0-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..03922a207c993ea37dbcd913560a5a23334652c1 --- /dev/null +++ b/tasks/readable/041/gold_csv/GQRY-A.0-B.0.csv @@ -0,0 +1,2 @@ +file_count +126 diff --git a/tasks/readable/041/gold_csv/GQRY-A.0-B.1.csv b/tasks/readable/041/gold_csv/GQRY-A.0-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..75a778dc1126e8c45772b2d3a2a0ae1cbaf6858b --- /dev/null +++ b/tasks/readable/041/gold_csv/GQRY-A.0-B.1.csv @@ -0,0 +1,2 @@ +file_count +224 diff --git a/tasks/readable/041/gold_csv/GQRY-A.0-B.2.csv b/tasks/readable/041/gold_csv/GQRY-A.0-B.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..1f154095e73cb35c4dcb9f39bcb8658cb48ef711 --- /dev/null +++ b/tasks/readable/041/gold_csv/GQRY-A.0-B.2.csv @@ -0,0 +1,2 @@ +python_file_count,watch_file_count +126,224 diff --git a/tasks/readable/041/gold_csv/GQRY-A.1-B.0.csv b/tasks/readable/041/gold_csv/GQRY-A.1-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..69ae315f4ebe85b3090254982c66bd647c6de0d8 --- /dev/null +++ b/tasks/readable/041/gold_csv/GQRY-A.1-B.0.csv @@ -0,0 +1,2 @@ +file_count +145 diff --git a/tasks/readable/041/gold_csv/GQRY-A.1-B.1.csv b/tasks/readable/041/gold_csv/GQRY-A.1-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..363550d1d7b5247f77709c3d1b43005a1b53c2f3 --- /dev/null +++ b/tasks/readable/041/gold_csv/GQRY-A.1-B.1.csv @@ -0,0 +1,2 @@ +file_count +226 diff --git a/tasks/readable/041/gold_csv/GQRY-A.1-B.2.csv b/tasks/readable/041/gold_csv/GQRY-A.1-B.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..60e79d244324ff1bc8b8a7559355237a1f8eb3ea --- /dev/null +++ b/tasks/readable/041/gold_csv/GQRY-A.1-B.2.csv @@ -0,0 +1,2 @@ +python_file_count,watch_file_count +147,224 diff --git a/tasks/readable/041/gold_csv/GQRY-A.2-B.0.csv b/tasks/readable/041/gold_csv/GQRY-A.2-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..b79b34e54b70d0e484f0b16b8cb1a5fcba67dde0 --- /dev/null +++ b/tasks/readable/041/gold_csv/GQRY-A.2-B.0.csv @@ -0,0 +1,2 @@ +file_count +35 diff --git a/tasks/readable/041/gold_csv/GQRY-A.2-B.1.csv b/tasks/readable/041/gold_csv/GQRY-A.2-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..75a778dc1126e8c45772b2d3a2a0ae1cbaf6858b --- /dev/null +++ b/tasks/readable/041/gold_csv/GQRY-A.2-B.1.csv @@ -0,0 +1,2 @@ +file_count +224 diff --git a/tasks/readable/041/gold_csv/GQRY-A.2-B.2.csv b/tasks/readable/041/gold_csv/GQRY-A.2-B.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..e3ad1044d56be1818584d45a1b7186490e5abfe6 --- /dev/null +++ b/tasks/readable/041/gold_csv/GQRY-A.2-B.2.csv @@ -0,0 +1,2 @@ +python_file_count,watch_file_count +35,224 diff --git a/tasks/readable/041/task_readable.sql b/tasks/readable/041/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..78dba17e1041338fadf936e984ca94ac5bfddbca --- /dev/null +++ b/tasks/readable/041/task_readable.sql @@ -0,0 +1,377 @@ +/* +{ + "qid": "041", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "github_repos", + "question": "Use the GITHUB_REPOS_* tables to count the total number of sample files in projects with Python and over 10 watchers.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "projects with Python", + "type": "finite", + "ambiguity_type": "semantic_table", + "interpretations": [ + "repos with language='Python' in GITHUB_REPOS_LANGUAGES", + "repos with .py files in GITHUB_REPOS_SAMPLE_FILES", + "repos with .py files in GITHUB_REPOS_SAMPLE_CONTENTS" + ], + "intended_interpretation_idx": 2 + }, + { + "id": "B", + "phrase": "projects with Python and over 10 watchers", + "type": "finite", + "ambiguity_type": "semantic_computation", + "interpretations": [ + "projects with both conditions met ('and' means logical AND)", + "projects with either condition met ('and' means UNION)", + "projects with Python and projects with over 10 watchers (two separate counts)" + ], + "intended_interpretation_idx": 2 + } + ], + "gold_intended_query_id": "GQRY-A.2-B.2", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0-B.0` ----- +/* +{ + "id": "GQRY-A.0-B.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] projects with Python": "repos with language='Python' in GITHUB_REPOS_LANGUAGES", + "[B] projects with Python and over 10 watchers": "projects with both conditions met ('and' means logical AND)" + } + } +} +*/ +WITH python_repos AS ( +SELECT DISTINCT l.repo_name +FROM GITHUB_REPOS_LANGUAGES l +WHERE l.language LIKE '%Python%' +), +watch_repos AS ( +SELECT DISTINCT sr.repo_name +FROM GITHUB_REPOS_SAMPLE_REPOS sr +WHERE sr.watch_count > 10 +) +SELECT COUNT(*) AS file_count +FROM GITHUB_REPOS_SAMPLE_FILES sf +WHERE sf.repo_name IN (SELECT pr.repo_name FROM python_repos pr) +AND sf.repo_name IN (SELECT wr.repo_name FROM watch_repos wr); +/* EXEC RESULT + file_count + 126 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.1` ----- +/* +{ + "id": "GQRY-A.0-B.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] projects with Python": "repos with language='Python' in GITHUB_REPOS_LANGUAGES", + "[B] projects with Python and over 10 watchers": "projects with either condition met ('and' means UNION)" + } + } +} +*/ +WITH python_repos AS ( +SELECT DISTINCT l.repo_name +FROM GITHUB_REPOS_LANGUAGES l +WHERE language LIKE '%Python%' +), +watch_repos AS ( +SELECT DISTINCT sr.repo_name +FROM GITHUB_REPOS_SAMPLE_REPOS sr +WHERE sr.watch_count > 10 +) +SELECT COUNT(*) AS file_count +FROM GITHUB_REPOS_SAMPLE_FILES sf +WHERE sf.repo_name IN (SELECT pr.repo_name FROM python_repos pr) +OR sf.repo_name IN (SELECT wr.repo_name FROM watch_repos wr); +/* EXEC RESULT + file_count + 224 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.2` ----- +/* +{ + "id": "GQRY-A.0-B.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] projects with Python": "repos with language='Python' in GITHUB_REPOS_LANGUAGES", + "[B] projects with Python and over 10 watchers": "projects with Python and projects with over 10 watchers (two separate counts)" + } + } +} +*/ +WITH python_repos AS ( +SELECT DISTINCT l.repo_name +FROM GITHUB_REPOS_LANGUAGES l +WHERE l.language LIKE '%Python%' +), +watch_repos AS ( +SELECT DISTINCT sr.repo_name +FROM GITHUB_REPOS_SAMPLE_REPOS sr +WHERE sr.watch_count > 10 +) +SELECT COUNT(CASE WHEN sf.repo_name IN (SELECT pr.repo_name FROM python_repos pr) THEN 1 ELSE NULL END) AS python_file_count, +COUNT(CASE WHEN sf.repo_name IN (SELECT wr.repo_name FROM watch_repos wr) THEN 1 ELSE NULL END) AS watch_file_count +FROM GITHUB_REPOS_SAMPLE_FILES sf; +/* EXEC RESULT + python_file_count watch_file_count + 126 224 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.0` ----- +/* +{ + "id": "GQRY-A.1-B.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] projects with Python": "repos with .py files in GITHUB_REPOS_SAMPLE_FILES", + "[B] projects with Python and over 10 watchers": "projects with both conditions met ('and' means logical AND)" + } + } +} +*/ +WITH python_repos AS ( +SELECT DISTINCT sf.repo_name +FROM GITHUB_REPOS_SAMPLE_FILES sf +WHERE LOWER(sf.path) LIKE '%.py' +), +watch_repos AS ( +SELECT DISTINCT sr.repo_name +FROM GITHUB_REPOS_SAMPLE_REPOS sr +WHERE sr.watch_count > 10 +) +SELECT COUNT(*) AS file_count +FROM GITHUB_REPOS_SAMPLE_FILES sf1 +WHERE sf1.repo_name IN (SELECT pr.repo_name FROM python_repos pr) +AND sf1.repo_name IN (SELECT wr.repo_name FROM watch_repos wr); +/* EXEC RESULT + file_count + 145 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.1` ----- +/* +{ + "id": "GQRY-A.1-B.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] projects with Python": "repos with .py files in GITHUB_REPOS_SAMPLE_FILES", + "[B] projects with Python and over 10 watchers": "projects with either condition met ('and' means UNION)" + } + } +} +*/ +WITH python_repos AS ( +SELECT DISTINCT sf.repo_name +FROM GITHUB_REPOS_SAMPLE_FILES sf +WHERE LOWER(sf.path) LIKE '%.py' +), +watch_repos AS ( +SELECT DISTINCT sr.repo_name +FROM GITHUB_REPOS_SAMPLE_REPOS sr +WHERE sr.watch_count > 10 +) +SELECT COUNT(*) AS file_count +FROM GITHUB_REPOS_SAMPLE_FILES sf1 +WHERE sf1.repo_name IN (SELECT pr.repo_name FROM python_repos pr) +OR sf1.repo_name IN (SELECT wr.repo_name FROM watch_repos wr); +/* EXEC RESULT + file_count + 226 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.2` ----- +/* +{ + "id": "GQRY-A.1-B.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] projects with Python": "repos with .py files in GITHUB_REPOS_SAMPLE_FILES", + "[B] projects with Python and over 10 watchers": "projects with Python and projects with over 10 watchers (two separate counts)" + } + } +} +*/ +WITH python_repos AS ( +SELECT DISTINCT sf.repo_name +FROM GITHUB_REPOS_SAMPLE_FILES sf +WHERE LOWER(sf.path) LIKE '%.py' +), +watch_repos AS ( +SELECT DISTINCT sr.repo_name +FROM GITHUB_REPOS_SAMPLE_REPOS sr +WHERE sr.watch_count > 10 +) +SELECT COUNT(CASE WHEN sf1.repo_name IN (SELECT pr.repo_name FROM python_repos pr) THEN 1 ELSE NULL END) AS python_file_count, +COUNT(CASE WHEN sf1.repo_name IN (SELECT wr.repo_name FROM watch_repos wr) THEN 1 ELSE NULL END) AS watch_file_count +FROM GITHUB_REPOS_SAMPLE_FILES sf1; +/* EXEC RESULT + python_file_count watch_file_count + 147 224 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.2-B.0` ----- +/* +{ + "id": "GQRY-A.2-B.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] projects with Python": "repos with .py files in GITHUB_REPOS_SAMPLE_CONTENTS", + "[B] projects with Python and over 10 watchers": "projects with both conditions met ('and' means logical AND)" + } + } +} +*/ +WITH python_repos AS ( +SELECT DISTINCT sc.sample_repo_name as repo_name +FROM GITHUB_REPOS_SAMPLE_CONTENTS sc +WHERE LOWER(sc.sample_path) LIKE '%.py' +), +watch_repos AS ( +SELECT DISTINCT sr.repo_name +FROM GITHUB_REPOS_SAMPLE_REPOS sr +WHERE sr.watch_count > 10 +) +SELECT COUNT(*) AS file_count +FROM GITHUB_REPOS_SAMPLE_FILES sf +WHERE sf.repo_name IN (SELECT pr.repo_name FROM python_repos pr) +AND sf.repo_name IN (SELECT wr.repo_name FROM watch_repos wr); +/* EXEC RESULT + file_count + 35 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.2-B.1` ----- +/* +{ + "id": "GQRY-A.2-B.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] projects with Python": "repos with .py files in GITHUB_REPOS_SAMPLE_CONTENTS", + "[B] projects with Python and over 10 watchers": "projects with either condition met ('and' means UNION)" + } + } +} +*/ +WITH python_repos AS ( +SELECT DISTINCT sc.sample_repo_name as repo_name +FROM GITHUB_REPOS_SAMPLE_CONTENTS sc +WHERE LOWER(sc.sample_path) LIKE '%.py' +), +watch_repos AS ( +SELECT DISTINCT sr.repo_name +FROM GITHUB_REPOS_SAMPLE_REPOS sr +WHERE sr.watch_count > 10 +) +SELECT COUNT(*) AS file_count +FROM GITHUB_REPOS_SAMPLE_FILES sf +WHERE sf.repo_name IN (SELECT pr.repo_name FROM python_repos pr) +OR sf.repo_name IN (SELECT wr.repo_name FROM watch_repos wr); +/* EXEC RESULT + file_count + 224 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.2-B.2` ----- +/* +{ + "id": "GQRY-A.2-B.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] projects with Python": "repos with .py files in GITHUB_REPOS_SAMPLE_CONTENTS", + "[B] projects with Python and over 10 watchers": "projects with Python and projects with over 10 watchers (two separate counts)" + } + } +} +*/ +WITH python_repos AS ( +SELECT DISTINCT sc.sample_repo_name as repo_name +FROM GITHUB_REPOS_SAMPLE_CONTENTS sc +WHERE LOWER(sc.sample_path) LIKE '%.py' +), +watch_repos AS ( +SELECT DISTINCT sr.repo_name +FROM GITHUB_REPOS_SAMPLE_REPOS sr +WHERE sr.watch_count > 10 +) +SELECT COUNT(CASE WHEN sf.repo_name IN (SELECT pr.repo_name FROM python_repos pr) THEN 1 ELSE NULL END) AS python_file_count, +COUNT(CASE WHEN sf.repo_name IN (SELECT wr.repo_name FROM watch_repos wr) THEN 1 ELSE NULL END) AS watch_file_count +FROM GITHUB_REPOS_SAMPLE_FILES sf; +/* EXEC RESULT + python_file_count watch_file_count + 35 224 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/042/gold_csv/GQRY-A.0-B.0.csv b/tasks/readable/042/gold_csv/GQRY-A.0-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..ef1b5d89b16849f3b7fa969070739250bf1fa800 --- /dev/null +++ b/tasks/readable/042/gold_csv/GQRY-A.0-B.0.csv @@ -0,0 +1,2 @@ +total_wiki_pages_updated +0 diff --git a/tasks/readable/042/gold_csv/GQRY-A.0-B.1.csv b/tasks/readable/042/gold_csv/GQRY-A.0-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..538745130085ff5a4e46adc0ee9f1a4d007dd9a7 --- /dev/null +++ b/tasks/readable/042/gold_csv/GQRY-A.0-B.1.csv @@ -0,0 +1,2 @@ +total_wiki_pages_updated +1 diff --git a/tasks/readable/042/gold_csv/GQRY-A.1-B.0.csv b/tasks/readable/042/gold_csv/GQRY-A.1-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..538745130085ff5a4e46adc0ee9f1a4d007dd9a7 --- /dev/null +++ b/tasks/readable/042/gold_csv/GQRY-A.1-B.0.csv @@ -0,0 +1,2 @@ +total_wiki_pages_updated +1 diff --git a/tasks/readable/042/gold_csv/GQRY-A.1-B.1.csv b/tasks/readable/042/gold_csv/GQRY-A.1-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..9e433cfaf2ecae18469c2a8e69307d719b8c836b --- /dev/null +++ b/tasks/readable/042/gold_csv/GQRY-A.1-B.1.csv @@ -0,0 +1,2 @@ +total_wiki_pages_updated +18 diff --git a/tasks/readable/042/gold_csv/GQRY-A.2-B.0.csv b/tasks/readable/042/gold_csv/GQRY-A.2-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..538745130085ff5a4e46adc0ee9f1a4d007dd9a7 --- /dev/null +++ b/tasks/readable/042/gold_csv/GQRY-A.2-B.0.csv @@ -0,0 +1,2 @@ +total_wiki_pages_updated +1 diff --git a/tasks/readable/042/gold_csv/GQRY-A.2-B.1.csv b/tasks/readable/042/gold_csv/GQRY-A.2-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..3e8b1583adce7224b681f209a71237a149ff4305 --- /dev/null +++ b/tasks/readable/042/gold_csv/GQRY-A.2-B.1.csv @@ -0,0 +1,2 @@ +total_wiki_pages_updated +19 diff --git a/tasks/readable/042/task_readable.sql b/tasks/readable/042/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..19131362267c6859d6ba991f935355fd306b81f9 --- /dev/null +++ b/tasks/readable/042/task_readable.sql @@ -0,0 +1,307 @@ +/* +{ + "qid": "042", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "github_repos", + "question": "Count the total number of Wiki pages updated in the last month of 2022 and 2023.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "Wiki pages updated", + "type": "finite", + "ambiguity_type": "semantic_value", + "interpretations": [ + "Wiki pages created", + "Wiki pages edited", + "Wiki pages created or edited" + ], + "intended_interpretation_idx": 2 + }, + { + "id": "B", + "phrase": "last month of 2022 and 2023", + "type": "finite", + "ambiguity_type": "syntactic_table", + "interpretations": [ + "December 2022 and December 2023", + "December 2022 and the entire 2023" + ], + "intended_interpretation_idx": 1 + } + ], + "gold_intended_query_id": "GQRY-A.2-B.1", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0-B.0` ----- +/* +{ + "id": "GQRY-A.0-B.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Wiki pages updated": "Wiki pages created", + "[B] last month of 2022 and 2023": "December 2022 and December 2023" + } + } +} +*/ +WITH combined_events AS ( +SELECT +json_extract(g.repo, '$.id') AS repo_id, +json_extract(g.payload, '$.pages') AS pages +FROM MONTH_202212 g +WHERE g.type = 'GollumEvent' +UNION ALL +SELECT +json_extract(g.repo, '$.id') AS repo_id, +json_extract(g.payload, '$.pages') AS pages +FROM MONTH_202312 g +WHERE g.type = 'GollumEvent' +), +updated_pages AS ( +SELECT combined_events.repo_id, json_extract(page.value, '$.page_name') AS page_name +FROM combined_events, +json_each(combined_events.pages) AS page +WHERE json_extract(page.value, '$.action') = 'created' +GROUP BY combined_events.repo_id, page_name +) +SELECT COUNT(*) AS total_wiki_pages_updated FROM updated_pages; +/* EXEC RESULT + total_wiki_pages_updated + 0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.1` ----- +/* +{ + "id": "GQRY-A.0-B.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Wiki pages updated": "Wiki pages created", + "[B] last month of 2022 and 2023": "December 2022 and the entire 2023" + } + } +} +*/ +WITH combined_events AS ( +SELECT +json_extract(g.repo, '$.id') AS repo_id, +json_extract(g.payload, '$.pages') AS pages +FROM MONTH_202212 g +WHERE g.type = 'GollumEvent' +UNION ALL +SELECT +json_extract(g.repo, '$.id') AS repo_id, +json_extract(g.payload, '$.pages') AS pages +FROM YEAR_2023 g +WHERE g.type = 'GollumEvent' +), +updated_pages AS ( +SELECT combined_events.repo_id, json_extract(page.value, '$.page_name') AS page_name +FROM combined_events, +json_each(combined_events.pages) AS page +WHERE json_extract(page.value, '$.action') = 'created' +GROUP BY combined_events.repo_id, page_name +) +SELECT COUNT(*) AS total_wiki_pages_updated FROM updated_pages; +/* EXEC RESULT + total_wiki_pages_updated + 1 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.0` ----- +/* +{ + "id": "GQRY-A.1-B.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Wiki pages updated": "Wiki pages edited", + "[B] last month of 2022 and 2023": "December 2022 and December 2023" + } + } +} +*/ +WITH combined_events AS ( +SELECT +json_extract(g.repo, '$.id') AS repo_id, +json_extract(g.payload, '$.pages') AS pages +FROM MONTH_202212 g +WHERE g.type = 'GollumEvent' +UNION ALL +SELECT +json_extract(g.repo, '$.id') AS repo_id, +json_extract(g.payload, '$.pages') AS pages +FROM MONTH_202312 g +WHERE g.type = 'GollumEvent' +), +updated_pages AS ( +SELECT combined_events.repo_id, json_extract(page.value, '$.page_name') AS page_name +FROM combined_events, +json_each(combined_events.pages) AS page +WHERE json_extract(page.value, '$.action') = 'edited' +GROUP BY combined_events.repo_id, page_name +) +SELECT COUNT(*) AS total_wiki_pages_updated FROM updated_pages; +/* EXEC RESULT + total_wiki_pages_updated + 1 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.1` ----- +/* +{ + "id": "GQRY-A.1-B.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Wiki pages updated": "Wiki pages edited", + "[B] last month of 2022 and 2023": "December 2022 and the entire 2023" + } + } +} +*/ +WITH combined_events AS ( +SELECT +json_extract(g.repo, '$.id') AS repo_id, +json_extract(g.payload, '$.pages') AS pages +FROM MONTH_202212 g +WHERE g.type = 'GollumEvent' +UNION ALL +SELECT +json_extract(g.repo, '$.id') AS repo_id, +json_extract(g.payload, '$.pages') AS pages +FROM YEAR_2023 g +WHERE g.type = 'GollumEvent' +), +updated_pages AS ( +SELECT combined_events.repo_id, json_extract(page.value, '$.page_name') AS page_name +FROM combined_events, +json_each(combined_events.pages) AS page +WHERE json_extract(page.value, '$.action') = 'edited' +GROUP BY combined_events.repo_id, page_name +) +SELECT COUNT(*) AS total_wiki_pages_updated FROM updated_pages; +/* EXEC RESULT + total_wiki_pages_updated + 18 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.2-B.0` ----- +/* +{ + "id": "GQRY-A.2-B.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Wiki pages updated": "Wiki pages created or edited", + "[B] last month of 2022 and 2023": "December 2022 and December 2023" + } + } +} +*/ +WITH combined_events AS ( +SELECT +json_extract(g.repo, '$.id') AS repo_id, +json_extract(g.payload, '$.pages') AS pages +FROM MONTH_202212 g +WHERE g.type = 'GollumEvent' +UNION ALL +SELECT +json_extract(g.repo, '$.id') AS repo_id, +json_extract(g.payload, '$.pages') AS pages +FROM MONTH_202312 g +WHERE g.type = 'GollumEvent' +), +updated_pages AS ( +SELECT combined_events.repo_id, json_extract(page.value, '$.page_name') AS page_name +FROM combined_events, +json_each(combined_events.pages) AS page +WHERE json_extract(page.value, '$.action') IN ('created', 'edited') +GROUP BY combined_events.repo_id, page_name +) +SELECT COUNT(*) AS total_wiki_pages_updated FROM updated_pages; +/* EXEC RESULT + total_wiki_pages_updated + 1 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.2-B.1` ----- +/* +{ + "id": "GQRY-A.2-B.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Wiki pages updated": "Wiki pages created or edited", + "[B] last month of 2022 and 2023": "December 2022 and the entire 2023" + } + } +} +*/ +WITH combined_events AS ( +SELECT +json_extract(g.repo, '$.id') AS repo_id, +json_extract(g.payload, '$.pages') AS pages +FROM MONTH_202212 g +WHERE g.type = 'GollumEvent' +UNION ALL +SELECT +json_extract(g.repo, '$.id') AS repo_id, +json_extract(g.payload, '$.pages') AS pages +FROM YEAR_2023 g +WHERE g.type = 'GollumEvent' +), +updated_pages AS ( +SELECT combined_events.repo_id, json_extract(page.value, '$.page_name') AS page_name +FROM combined_events, +json_each(combined_events.pages) AS page +WHERE json_extract(page.value, '$.action') IN ('created', 'edited') +GROUP BY combined_events.repo_id, page_name +) +SELECT COUNT(*) AS total_wiki_pages_updated FROM updated_pages; +/* EXEC RESULT + total_wiki_pages_updated + 19 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/043/gold_csv/GQRY-A.0.csv b/tasks/readable/043/gold_csv/GQRY-A.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..3795a6b84b18445cf473116d6a562f393e664ad6 --- /dev/null +++ b/tasks/readable/043/gold_csv/GQRY-A.0.csv @@ -0,0 +1,2 @@ +repo_name,event_count +Lombiq/Orchard,7833 diff --git a/tasks/readable/043/gold_csv/GQRY-A.1.csv b/tasks/readable/043/gold_csv/GQRY-A.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..0095be3b30284c603fb2a7993aec449048ae40f4 --- /dev/null +++ b/tasks/readable/043/gold_csv/GQRY-A.1.csv @@ -0,0 +1,2 @@ +repo_name,event_count +bullet-dev-team/python-pyramid-public,3544 diff --git a/tasks/readable/043/gold_csv/GQRY-A.2.csv b/tasks/readable/043/gold_csv/GQRY-A.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..3795a6b84b18445cf473116d6a562f393e664ad6 --- /dev/null +++ b/tasks/readable/043/gold_csv/GQRY-A.2.csv @@ -0,0 +1,2 @@ +repo_name,event_count +Lombiq/Orchard,7833 diff --git a/tasks/readable/043/task_readable.sql b/tasks/readable/043/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..9a2d98381b14c75877456e96770863dd380c479e --- /dev/null +++ b/tasks/readable/043/task_readable.sql @@ -0,0 +1,140 @@ +/* +{ + "qid": "043", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "github_repos", + "question": "Show the repository name with most events in May.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "May", + "type": "finite", + "ambiguity_type": "semantic_table", + "interpretations": [ + "May 2022", + "May 2023", + "May in both 2022 and 2023" + ], + "intended_interpretation_idx": 0 + } + ], + "gold_intended_query_id": "GQRY-A.0", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0` ----- +/* +{ + "id": "GQRY-A.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 0 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] May": "May 2022" + } + } +} +*/ +WITH event_counts AS ( +SELECT json_extract(repo, '$.name') AS repo_name, COUNT(*) AS event_count +FROM MONTH_202205 +GROUP BY repo_name +) +SELECT event_counts.repo_name, event_counts.event_count +FROM event_counts +WHERE event_count = ( +SELECT MAX(event_count) +FROM event_counts +); +/* EXEC RESULT + repo_name event_count +Lombiq/Orchard 7833 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1` ----- +/* +{ + "id": "GQRY-A.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 0 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] May": "May 2023" + } + } +} +*/ +WITH event_counts AS ( +SELECT json_extract(repo, '$.name') AS repo_name, COUNT(*) AS event_count +FROM MONTH_202305 +GROUP BY repo_name +) +SELECT event_counts.repo_name, event_counts.event_count +FROM event_counts +WHERE event_count = ( +SELECT MAX(event_count) +FROM event_counts +); +/* EXEC RESULT + repo_name event_count +bullet-dev-team/python-pyramid-public 3544 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.2` ----- +/* +{ + "id": "GQRY-A.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 0 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] May": "May in both 2022 and 2023" + } + } +} +*/ +WITH event_counts AS ( +SELECT json_extract(repo, '$.name') AS repo_name, COUNT(*) AS event_count +FROM ( +SELECT * +FROM MONTH_202205 +UNION ALL +SELECT * +FROM MONTH_202305 +) AS combined_may +GROUP BY repo_name +) +SELECT event_counts.repo_name, event_counts.event_count +FROM event_counts +WHERE event_count = ( +SELECT MAX(event_count) +FROM event_counts +); +/* EXEC RESULT + repo_name event_count +Lombiq/Orchard 7833 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/044/gold_csv/GQRY-A.0.csv b/tasks/readable/044/gold_csv/GQRY-A.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..90431670400891f1d332886d001278332b810856 --- /dev/null +++ b/tasks/readable/044/gold_csv/GQRY-A.0.csv @@ -0,0 +1,2 @@ +org_id,event_count +8158177,42493 diff --git a/tasks/readable/044/gold_csv/GQRY-A.1.csv b/tasks/readable/044/gold_csv/GQRY-A.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..09f9d2cd4d537ec16666db10980341c5a6ca0019 --- /dev/null +++ b/tasks/readable/044/gold_csv/GQRY-A.1.csv @@ -0,0 +1,2 @@ +org_id,repo_count +8158177,4 diff --git a/tasks/readable/044/gold_csv/GQRY-A.2.csv b/tasks/readable/044/gold_csv/GQRY-A.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..c5a767393c60851c120a03013df74ff1a918f7a0 --- /dev/null +++ b/tasks/readable/044/gold_csv/GQRY-A.2.csv @@ -0,0 +1,2 @@ +org_id,actor_count +13844975,916 diff --git a/tasks/readable/044/task_readable.sql b/tasks/readable/044/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..04cc041b657b0e0f5961629ea6150aeda223d276 --- /dev/null +++ b/tasks/readable/044/task_readable.sql @@ -0,0 +1,143 @@ +/* +{ + "qid": "044", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "github_repos", + "question": "Find the most active organization in 2023.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "most active organization", + "type": "finite", + "ambiguity_type": "semantic_computation", + "interpretations": [ + "organization with the highest total number of events", + "organization with the highest number of repositories that generated events", + "organization with the highest number of actors on its repositories" + ], + "intended_interpretation_idx": 1 + } + ], + "gold_intended_query_id": "GQRY-A.1", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0` ----- +/* +{ + "id": "GQRY-A.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 0 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] most active organization": "organization with the highest total number of events" + } + } +} +*/ +WITH org_activity AS ( +SELECT +json_extract(y.org, '$.id') AS org_id, +COUNT(*) AS event_count +FROM YEAR_2023 y +WHERE y.org IS NOT NULL AND y.org <> 'null' AND org_id IS NOT NULL +GROUP BY org_id +) +SELECT oa.org_id, oa.event_count +FROM org_activity oa +WHERE oa.event_count = ( +SELECT MAX(oa2.event_count) +FROM org_activity oa2 +); +/* EXEC RESULT + org_id event_count +8158177 42493 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1` ----- +/* +{ + "id": "GQRY-A.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 0 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] most active organization": "organization with the highest number of repositories that generated events" + } + } +} +*/ +WITH org_activity AS ( +SELECT +json_extract(y.org, '$.id') AS org_id, +COUNT(DISTINCT json_extract(y.repo, '$.id')) AS repo_count +FROM YEAR_2023 y +WHERE y.org IS NOT NULL AND y.org <> 'null' AND org_id IS NOT NULL +GROUP BY org_id +) +SELECT oa.org_id, oa.repo_count +FROM org_activity oa +WHERE oa.repo_count = ( +SELECT MAX(oa2.repo_count) +FROM org_activity oa2 +); +/* EXEC RESULT + org_id repo_count +8158177 4 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.2` ----- +/* +{ + "id": "GQRY-A.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 0 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] most active organization": "organization with the highest number of actors on its repositories" + } + } +} +*/ +WITH org_activity AS ( +SELECT +json_extract(y.org, '$.id') AS org_id, +COUNT(DISTINCT json_extract(y.actor, '$.id')) AS actor_count +FROM YEAR_2023 y +WHERE y.org IS NOT NULL AND y.org <> 'null' AND org_id IS NOT NULL +GROUP BY org_id +) +SELECT oa.org_id, oa.actor_count +FROM org_activity oa +WHERE oa.actor_count = ( +SELECT MAX(oa2.actor_count) +FROM org_activity oa2 +); +/* EXEC RESULT + org_id actor_count +13844975 916 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/045/gold_csv/GQRY-A.0-B.0.csv b/tasks/readable/045/gold_csv/GQRY-A.0-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..270057c17ba0966f0e4480d0f4f6ae30b523cd12 --- /dev/null +++ b/tasks/readable/045/gold_csv/GQRY-A.0-B.0.csv @@ -0,0 +1,2 @@ +MAX(issues_opened) +67 diff --git a/tasks/readable/045/gold_csv/GQRY-A.0-B.1.csv b/tasks/readable/045/gold_csv/GQRY-A.0-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..1ddcc47130e3899ef8736211a76a124e323ad4bd --- /dev/null +++ b/tasks/readable/045/gold_csv/GQRY-A.0-B.1.csv @@ -0,0 +1,2 @@ +MAX(issues_opened) +47 diff --git a/tasks/readable/045/gold_csv/GQRY-A.0-B.2.csv b/tasks/readable/045/gold_csv/GQRY-A.0-B.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..a254bcc0d86b70c66c54f53e73c94aba2db7a8ac --- /dev/null +++ b/tasks/readable/045/gold_csv/GQRY-A.0-B.2.csv @@ -0,0 +1,2 @@ +overall_max +67 diff --git a/tasks/readable/045/gold_csv/GQRY-A.1-B.0.csv b/tasks/readable/045/gold_csv/GQRY-A.1-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..270057c17ba0966f0e4480d0f4f6ae30b523cd12 --- /dev/null +++ b/tasks/readable/045/gold_csv/GQRY-A.1-B.0.csv @@ -0,0 +1,2 @@ +MAX(issues_opened) +67 diff --git a/tasks/readable/045/gold_csv/GQRY-A.1-B.1.csv b/tasks/readable/045/gold_csv/GQRY-A.1-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..48607933eab9e9054e9d8b3aa1d40e4bd3c802d1 --- /dev/null +++ b/tasks/readable/045/gold_csv/GQRY-A.1-B.1.csv @@ -0,0 +1,2 @@ +MAX(issues_opened) +251 diff --git a/tasks/readable/045/gold_csv/GQRY-A.1-B.2.csv b/tasks/readable/045/gold_csv/GQRY-A.1-B.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..7d177ef8fa916dcd551a61b6b9dad33bb61c54a3 --- /dev/null +++ b/tasks/readable/045/gold_csv/GQRY-A.1-B.2.csv @@ -0,0 +1,2 @@ +overall_max +251 diff --git a/tasks/readable/045/task_readable.sql b/tasks/readable/045/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..80cb37448438c1c628f60353ae174657734cea9e --- /dev/null +++ b/tasks/readable/045/task_readable.sql @@ -0,0 +1,275 @@ +/* +{ + "qid": "045", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "github_repos", + "question": "What is the highest number of issues opened by a single repository (identified by repo ID) in Q3? Use the YEAR_* tables.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "issues opened", + "type": "finite", + "ambiguity_type": "semantic_value", + "interpretations": [ + "issues created", + "issues created or reopened" + ], + "intended_interpretation_idx": 0 + }, + { + "id": "B", + "phrase": "Q3", + "type": "finite", + "ambiguity_type": "semantic_table", + "interpretations": [ + "Q3 2022", + "Q3 2023", + "across both Q3 2022 and Q3 2023 (whichever is higher)" + ], + "intended_interpretation_idx": 2 + } + ], + "gold_intended_query_id": "GQRY-A.0-B.2", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0-B.0` ----- +/* +{ + "id": "GQRY-A.0-B.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Q3": "Q3 2022", + "[B] issues opened": "issues created" + } + } +} +*/ +WITH issue_counts AS ( +SELECT json_extract(repo, '$.id') AS repo_id, +COUNT(DISTINCT json_extract(payload, '$.issue.id')) AS issues_opened +FROM YEAR_2022 +WHERE type = 'IssuesEvent' +AND json_extract(payload, '$.action') = 'opened' +AND strftime('%m', created_at / 1000000, 'unixepoch') IN ('07', '08', '09') +GROUP BY repo_id +) +SELECT MAX(issues_opened) +FROM issue_counts; +/* EXEC RESULT + MAX(issues_opened) + 67 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.1` ----- +/* +{ + "id": "GQRY-A.0-B.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Q3": "Q3 2023", + "[B] issues opened": "issues created" + } + } +} +*/ +WITH issue_counts AS ( +SELECT json_extract(repo, '$.id') AS repo_id, +COUNT(DISTINCT json_extract(payload, '$.issue.id')) AS issues_opened +FROM YEAR_2023 +WHERE type = 'IssuesEvent' +AND json_extract(payload, '$.action') = 'opened' +AND strftime('%m', created_at / 1000000, 'unixepoch') IN ('07', '08', '09') +GROUP BY repo_id +) +SELECT MAX(issues_opened) +FROM issue_counts; +/* EXEC RESULT + MAX(issues_opened) + 47 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.2` ----- +/* +{ + "id": "GQRY-A.0-B.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Q3": "across both Q3 2022 and Q3 2023 (whichever is higher)", + "[B] issues opened": "issues created" + } + } +} +*/ +WITH issue_counts_2022 AS ( +SELECT json_extract(repo, '$.id') AS repo_id, +COUNT(DISTINCT json_extract(payload, '$.issue.id')) AS issues_opened +FROM YEAR_2022 +WHERE type = 'IssuesEvent' +AND json_extract(payload, '$.action') = 'opened' +AND strftime('%m', created_at / 1000000, 'unixepoch') IN ('07', '08', '09') +GROUP BY repo_id +), +issue_counts_2023 AS ( +SELECT json_extract(repo, '$.id') AS repo_id, +COUNT(DISTINCT json_extract(payload, '$.issue.id')) AS issues_opened +FROM YEAR_2023 +WHERE type = 'IssuesEvent' +AND json_extract(payload, '$.action') = 'opened' +AND strftime('%m', created_at / 1000000, 'unixepoch') IN ('07', '08', '09') +GROUP BY repo_id +), +max_counts AS ( +SELECT MAX(issues_opened) AS max_value FROM issue_counts_2022 +UNION ALL +SELECT MAX(issues_opened) AS max_value FROM issue_counts_2023 +) +SELECT MAX(max_value) AS overall_max +FROM max_counts; +/* EXEC RESULT + overall_max + 67 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.0` ----- +/* +{ + "id": "GQRY-A.1-B.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Q3": "Q3 2022", + "[B] issues opened": "issues created or reopened" + } + } +} +*/ +WITH issue_counts AS ( +SELECT json_extract(repo, '$.id') AS repo_id, +COUNT(DISTINCT json_extract(payload, '$.issue.id')) AS issues_opened +FROM YEAR_2022 +WHERE type = 'IssuesEvent' +AND json_extract(payload, '$.action') IN ('opened', 'reopened') +AND strftime('%m', created_at / 1000000, 'unixepoch') IN ('07', '08', '09') +GROUP BY repo_id +) +SELECT MAX(issues_opened) +FROM issue_counts; +/* EXEC RESULT + MAX(issues_opened) + 67 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.1` ----- +/* +{ + "id": "GQRY-A.1-B.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Q3": "Q3 2023", + "[B] issues opened": "issues created or reopened" + } + } +} +*/ +WITH issue_counts AS ( +SELECT json_extract(repo, '$.id') AS repo_id, +COUNT(DISTINCT json_extract(payload, '$.issue.id')) AS issues_opened +FROM YEAR_2023 +WHERE type = 'IssuesEvent' +AND json_extract(payload, '$.action') IN ('opened', 'reopened') +AND strftime('%m', created_at / 1000000, 'unixepoch') IN ('07', '08', '09') +GROUP BY repo_id +) +SELECT MAX(issues_opened) +FROM issue_counts; +/* EXEC RESULT + MAX(issues_opened) + 251 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.2` ----- +/* +{ + "id": "GQRY-A.1-B.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Q3": "across both Q3 2022 and Q3 2023 (whichever is higher)", + "[B] issues opened": "issues created or reopened" + } + } +} +*/ +WITH issue_counts_2022 AS ( +SELECT json_extract(repo, '$.id') AS repo_id, +COUNT(DISTINCT json_extract(payload, '$.issue.id')) AS issues_opened +FROM YEAR_2022 +WHERE type = 'IssuesEvent' +AND json_extract(payload, '$.action') IN ('opened', 'reopened') +AND strftime('%m', created_at / 1000000, 'unixepoch') IN ('07', '08', '09') +GROUP BY repo_id +), +issue_counts_2023 AS ( +SELECT json_extract(repo, '$.id') AS repo_id, +COUNT(DISTINCT json_extract(payload, '$.issue.id')) AS issues_opened +FROM YEAR_2023 +WHERE type = 'IssuesEvent' +AND json_extract(payload, '$.action') IN ('opened', 'reopened') +AND strftime('%m', created_at / 1000000, 'unixepoch') IN ('07', '08', '09') +GROUP BY repo_id +), +max_counts AS ( +SELECT MAX(issues_opened) AS max_value FROM issue_counts_2022 +UNION ALL +SELECT MAX(issues_opened) AS max_value FROM issue_counts_2023 +) +SELECT MAX(max_value) AS overall_max +FROM max_counts; +/* EXEC RESULT + overall_max + 251 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/046/gold_csv/GQRY-A.0-B.0-C.0.csv b/tasks/readable/046/gold_csv/GQRY-A.0-B.0-C.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..6dcd3cfc5ec6d1a0321e2eee5cd74db4a26bebe4 --- /dev/null +++ b/tasks/readable/046/gold_csv/GQRY-A.0-B.0-C.0.csv @@ -0,0 +1,59 @@ +repo_name +unifyai/ivy +truecharts/charts +sindresorhus/awesome +appsmithorg/appsmith +ksAutotests/TutorialAdminErrors +wxy1343/ManifestAutoUpdate +ibm-developer-skills-network/jbbmo-Introduction-to-Git-and-GitHub +Automattic/jetpack +LAION-AI/Open-Assistant +getsentry/sentry +bevyengine/bevy +anuraghazra/github-readme-stats +openjdk/jdk +brave/brave-core +MicrosoftDocs/azure-docs +risingwavelabs/risingwave +cms-sw/cmssw +apple/swift +home-assistant/core +Homebrew/homebrew-cask +tgstation/tgstation +o3de/o3de +juanfont/headscale +OneKeyHQ/app-monorepo +nidhihcl/linux-4.19.72_CVE-2022-29581 +flutter/flutter +diffplug/spotless +wowsims/wotlk +CDCgov/prime-reportstream +leo424y/heysiri.ml +rstudio/rstudio +antvis/X6 +redpanda-data/redpanda +G-Research/armada +taichi-dev/taichi +privacyidea/privacyidea +postman-open-technologies/knowledge-base +pypa/pip +open-telemetry/opentelemetry-python +mantinedev/mantine +herrphon/upptime +DantSu/ESCPOS-ThermalPrinter-Android +ansible/ansible +AirSkyBoat/AirSkyBoat +scikit-learn/scikit-learn +alibaba/hooks +gothinkster/realworld +getsentry/self-hosted +paperless-ngx/paperless-ngx +gatsbyjs/gatsby +streamlit/streamlit-example +pietervdvn/MapComplete +mrvinceo/ocaUptime +steven-tey/dub +oldschoolgg/oldschoolbot +LaravelDaily/Test-Laravel-Routes +votingworks/vxsuite +themefisher/meghna-hugo diff --git a/tasks/readable/046/gold_csv/GQRY-A.0-B.0-C.1.csv b/tasks/readable/046/gold_csv/GQRY-A.0-B.0-C.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..94ad11f8b9b8d2eaf0f77382c6ad591371966907 --- /dev/null +++ b/tasks/readable/046/gold_csv/GQRY-A.0-B.0-C.1.csv @@ -0,0 +1 @@ +repo_name diff --git a/tasks/readable/046/gold_csv/GQRY-A.0-B.1-C.0.csv b/tasks/readable/046/gold_csv/GQRY-A.0-B.1-C.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..4fb5d62464d5126234e7c3b7c0a534350c273d7a --- /dev/null +++ b/tasks/readable/046/gold_csv/GQRY-A.0-B.1-C.0.csv @@ -0,0 +1,60 @@ +repo_name +unifyai/ivy +truecharts/charts +sindresorhus/awesome +appsmithorg/appsmith +ksAutotests/TutorialAdminErrors +wxy1343/ManifestAutoUpdate +ibm-developer-skills-network/jbbmo-Introduction-to-Git-and-GitHub +Automattic/jetpack +LAION-AI/Open-Assistant +getsentry/sentry +bevyengine/bevy +anuraghazra/github-readme-stats +openjdk/jdk +brave/brave-core +MicrosoftDocs/azure-docs +risingwavelabs/risingwave +cms-sw/cmssw +apple/swift +home-assistant/core +Homebrew/homebrew-cask +tgstation/tgstation +o3de/o3de +juanfont/headscale +OneKeyHQ/app-monorepo +nidhihcl/linux-4.19.72_CVE-2022-29581 +flutter/flutter +diffplug/spotless +wowsims/wotlk +CDCgov/prime-reportstream +leo424y/heysiri.ml +rstudio/rstudio +antvis/X6 +redpanda-data/redpanda +G-Research/armada +taichi-dev/taichi +privacyidea/privacyidea +postman-open-technologies/knowledge-base +pypa/pip +PRQL/prql +open-telemetry/opentelemetry-python +mantinedev/mantine +herrphon/upptime +DantSu/ESCPOS-ThermalPrinter-Android +ansible/ansible +AirSkyBoat/AirSkyBoat +scikit-learn/scikit-learn +alibaba/hooks +gothinkster/realworld +getsentry/self-hosted +paperless-ngx/paperless-ngx +gatsbyjs/gatsby +streamlit/streamlit-example +pietervdvn/MapComplete +mrvinceo/ocaUptime +steven-tey/dub +oldschoolgg/oldschoolbot +LaravelDaily/Test-Laravel-Routes +votingworks/vxsuite +themefisher/meghna-hugo diff --git a/tasks/readable/046/gold_csv/GQRY-A.0-B.1-C.1.csv b/tasks/readable/046/gold_csv/GQRY-A.0-B.1-C.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..94ad11f8b9b8d2eaf0f77382c6ad591371966907 --- /dev/null +++ b/tasks/readable/046/gold_csv/GQRY-A.0-B.1-C.1.csv @@ -0,0 +1 @@ +repo_name diff --git a/tasks/readable/046/gold_csv/GQRY-A.1-B.0-C.0.csv b/tasks/readable/046/gold_csv/GQRY-A.1-B.0-C.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..8c0b40681ba5fc43bf6d21baf80e3538589c7c87 --- /dev/null +++ b/tasks/readable/046/gold_csv/GQRY-A.1-B.0-C.0.csv @@ -0,0 +1,59 @@ +repo_name +AirSkyBoat/AirSkyBoat +Automattic/jetpack +CDCgov/prime-reportstream +DantSu/ESCPOS-ThermalPrinter-Android +G-Research/armada +Homebrew/homebrew-cask +LAION-AI/Open-Assistant +LaravelDaily/Test-Laravel-Routes +MicrosoftDocs/azure-docs +OneKeyHQ/app-monorepo +alibaba/hooks +ansible/ansible +antvis/X6 +anuraghazra/github-readme-stats +apple/swift +appsmithorg/appsmith +bevyengine/bevy +brave/brave-core +cms-sw/cmssw +diffplug/spotless +flutter/flutter +gatsbyjs/gatsby +getsentry/self-hosted +getsentry/sentry +gothinkster/realworld +herrphon/upptime +home-assistant/core +ibm-developer-skills-network/jbbmo-Introduction-to-Git-and-GitHub +juanfont/headscale +ksAutotests/TutorialAdminErrors +leo424y/heysiri.ml +mantinedev/mantine +mrvinceo/ocaUptime +nidhihcl/linux-4.19.72_CVE-2022-29581 +o3de/o3de +oldschoolgg/oldschoolbot +open-telemetry/opentelemetry-python +openjdk/jdk +paperless-ngx/paperless-ngx +pietervdvn/MapComplete +postman-open-technologies/knowledge-base +privacyidea/privacyidea +pypa/pip +redpanda-data/redpanda +risingwavelabs/risingwave +rstudio/rstudio +scikit-learn/scikit-learn +sindresorhus/awesome +steven-tey/dub +streamlit/streamlit-example +taichi-dev/taichi +tgstation/tgstation +themefisher/meghna-hugo +truecharts/charts +unifyai/ivy +votingworks/vxsuite +wowsims/wotlk +wxy1343/ManifestAutoUpdate diff --git a/tasks/readable/046/gold_csv/GQRY-A.1-B.0-C.1.csv b/tasks/readable/046/gold_csv/GQRY-A.1-B.0-C.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..22a5344f1ef6af412f77fb9fe9608cbee13ed256 --- /dev/null +++ b/tasks/readable/046/gold_csv/GQRY-A.1-B.0-C.1.csv @@ -0,0 +1,33 @@ +repo_name +Homebrew/homebrew-cask +LAION-AI/Open-Assistant +LaravelDaily/Test-Laravel-Routes +MicrosoftDocs/azure-docs +OneKeyHQ/app-monorepo +alibaba/hooks +ansible/ansible +anuraghazra/github-readme-stats +apple/swift +appsmithorg/appsmith +brave/brave-core +flutter/flutter +gatsbyjs/gatsby +getsentry/sentry +gothinkster/realworld +home-assistant/core +ibm-developer-skills-network/jbbmo-Introduction-to-Git-and-GitHub +juanfont/headscale +mantinedev/mantine +open-telemetry/opentelemetry-python +openjdk/jdk +paperless-ngx/paperless-ngx +scikit-learn/scikit-learn +sindresorhus/awesome +steven-tey/dub +streamlit/streamlit-example +taichi-dev/taichi +tgstation/tgstation +themefisher/meghna-hugo +truecharts/charts +unifyai/ivy +wxy1343/ManifestAutoUpdate diff --git a/tasks/readable/046/gold_csv/GQRY-A.1-B.1-C.0.csv b/tasks/readable/046/gold_csv/GQRY-A.1-B.1-C.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..10686c5b4a1419997ae3a8a5486a2433d1e29610 --- /dev/null +++ b/tasks/readable/046/gold_csv/GQRY-A.1-B.1-C.0.csv @@ -0,0 +1,60 @@ +repo_name +AirSkyBoat/AirSkyBoat +Automattic/jetpack +CDCgov/prime-reportstream +DantSu/ESCPOS-ThermalPrinter-Android +G-Research/armada +Homebrew/homebrew-cask +LAION-AI/Open-Assistant +LaravelDaily/Test-Laravel-Routes +MicrosoftDocs/azure-docs +OneKeyHQ/app-monorepo +PRQL/prql +alibaba/hooks +ansible/ansible +antvis/X6 +anuraghazra/github-readme-stats +apple/swift +appsmithorg/appsmith +bevyengine/bevy +brave/brave-core +cms-sw/cmssw +diffplug/spotless +flutter/flutter +gatsbyjs/gatsby +getsentry/self-hosted +getsentry/sentry +gothinkster/realworld +herrphon/upptime +home-assistant/core +ibm-developer-skills-network/jbbmo-Introduction-to-Git-and-GitHub +juanfont/headscale +ksAutotests/TutorialAdminErrors +leo424y/heysiri.ml +mantinedev/mantine +mrvinceo/ocaUptime +nidhihcl/linux-4.19.72_CVE-2022-29581 +o3de/o3de +oldschoolgg/oldschoolbot +open-telemetry/opentelemetry-python +openjdk/jdk +paperless-ngx/paperless-ngx +pietervdvn/MapComplete +postman-open-technologies/knowledge-base +privacyidea/privacyidea +pypa/pip +redpanda-data/redpanda +risingwavelabs/risingwave +rstudio/rstudio +scikit-learn/scikit-learn +sindresorhus/awesome +steven-tey/dub +streamlit/streamlit-example +taichi-dev/taichi +tgstation/tgstation +themefisher/meghna-hugo +truecharts/charts +unifyai/ivy +votingworks/vxsuite +wowsims/wotlk +wxy1343/ManifestAutoUpdate diff --git a/tasks/readable/046/gold_csv/GQRY-A.1-B.1-C.1.csv b/tasks/readable/046/gold_csv/GQRY-A.1-B.1-C.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..22a5344f1ef6af412f77fb9fe9608cbee13ed256 --- /dev/null +++ b/tasks/readable/046/gold_csv/GQRY-A.1-B.1-C.1.csv @@ -0,0 +1,33 @@ +repo_name +Homebrew/homebrew-cask +LAION-AI/Open-Assistant +LaravelDaily/Test-Laravel-Routes +MicrosoftDocs/azure-docs +OneKeyHQ/app-monorepo +alibaba/hooks +ansible/ansible +anuraghazra/github-readme-stats +apple/swift +appsmithorg/appsmith +brave/brave-core +flutter/flutter +gatsbyjs/gatsby +getsentry/sentry +gothinkster/realworld +home-assistant/core +ibm-developer-skills-network/jbbmo-Introduction-to-Git-and-GitHub +juanfont/headscale +mantinedev/mantine +open-telemetry/opentelemetry-python +openjdk/jdk +paperless-ngx/paperless-ngx +scikit-learn/scikit-learn +sindresorhus/awesome +steven-tey/dub +streamlit/streamlit-example +taichi-dev/taichi +tgstation/tgstation +themefisher/meghna-hugo +truecharts/charts +unifyai/ivy +wxy1343/ManifestAutoUpdate diff --git a/tasks/readable/046/task_readable.sql b/tasks/readable/046/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..6356763b56d64e1d5db5eb17b05bd2c842e2f7c4 --- /dev/null +++ b/tasks/readable/046/task_readable.sql @@ -0,0 +1,497 @@ +/* +{ + "qid": "046", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "github_repos", + "question": "In the January 2023 table, find all repo names that were forked or had issues opened and have public events.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "forked or had issues opened and have public events", + "type": "finite", + "ambiguity_type": "syntactic_computation", + "interpretations": [ + "(were forked OR had issues opened) AND (have public events in January 2023)", + "(were forked) OR (had issues opened AND have public events in January 2023)" + ], + "intended_interpretation_idx": 1 + }, + { + "id": "B", + "phrase": "issues opened", + "type": "finite", + "ambiguity_type": "semantic_value", + "interpretations": [ + "issues created", + "issues created or reopened" + ], + "intended_interpretation_idx": 1 + }, + { + "id": "C", + "phrase": "public events", + "type": "finite", + "ambiguity_type": "semantic_computation", + "interpretations": [ + "events with attribute public=1", + "events of type 'PublicEvent'" + ], + "intended_interpretation_idx": 0 + } + ], + "gold_intended_query_id": "GQRY-A.1-B.1-C.0", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0-B.0-C.0` ----- +/* +{ + "id": "GQRY-A.0-B.0-C.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] forked or had issues opened and have public events": "(were forked OR had issues opened) AND (have public events in January 2023)", + "[B] issues opened": "issues created", + "[C] public events": "events with attribute public=1" + } + } +} +*/ +WITH forked_repos AS ( +SELECT DISTINCT json_extract(m.repo, '$.name') AS repo_name +FROM MONTH_202301 m +WHERE m.type = 'ForkEvent' +), +issues_opened_repos AS ( +SELECT DISTINCT json_extract(m.repo, '$.name') AS repo_name +FROM MONTH_202301 m +WHERE m.type = 'IssuesEvent' +AND json_extract(m.payload, '$.action') = 'opened' +), +public_events_repos AS ( +SELECT DISTINCT json_extract(m.repo, '$.name') AS repo_name +FROM MONTH_202301 m +WHERE m.public = 1 +) +SELECT DISTINCT per.repo_name +FROM public_events_repos per +WHERE per.repo_name IN ( +SELECT fr.repo_name FROM forked_repos fr +UNION +SELECT ior.repo_name FROM issues_opened_repos ior +); +/* EXEC RESULT + repo_name + unifyai/ivy + truecharts/charts + sindresorhus/awesome + appsmithorg/appsmith + ksAutotests/TutorialAdminErrors +... TRUNCATED ... + steven-tey/dub + oldschoolgg/oldschoolbot +LaravelDaily/Test-Laravel-Routes + votingworks/vxsuite + themefisher/meghna-hugo +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.0-C.1` ----- +/* +{ + "id": "GQRY-A.0-B.0-C.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] forked or had issues opened and have public events": "(were forked OR had issues opened) AND (have public events in January 2023)", + "[B] issues opened": "issues created", + "[C] public events": "events of type 'PublicEvent'" + } + } +} +*/ +WITH forked_repos AS ( +SELECT DISTINCT json_extract(m.repo, '$.name') AS repo_name +FROM MONTH_202301 m +WHERE m.type = 'ForkEvent' +), +issues_opened_repos AS ( +SELECT DISTINCT json_extract(m.repo, '$.name') AS repo_name +FROM MONTH_202301 m +WHERE m.type = 'IssuesEvent' +AND json_extract(m.payload, '$.action') = 'opened' +), +public_events_repos AS ( +SELECT DISTINCT json_extract(m.repo, '$.name') AS repo_name +FROM MONTH_202301 m +WHERE m.type = 'PublicEvent' +) +SELECT DISTINCT per.repo_name +FROM public_events_repos per +WHERE per.repo_name IN ( +SELECT fr.repo_name FROM forked_repos fr +UNION +SELECT ior.repo_name FROM issues_opened_repos ior +); +/* EXEC RESULT +Empty DataFrame +Columns: [repo_name] +Index: [] +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.1-C.0` ----- +/* +{ + "id": "GQRY-A.0-B.1-C.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] forked or had issues opened and have public events": "(were forked OR had issues opened) AND (have public events in January 2023)", + "[B] issues opened": "issues created or reopened", + "[C] public events": "events with attribute public=1" + } + } +} +*/ +WITH forked_repos AS ( +SELECT DISTINCT json_extract(m.repo, '$.name') AS repo_name +FROM MONTH_202301 m +WHERE m.type = 'ForkEvent' +), +issues_opened_repos AS ( +SELECT DISTINCT json_extract(m.repo, '$.name') AS repo_name +FROM MONTH_202301 m +WHERE m.type = 'IssuesEvent' +AND json_extract(m.payload, '$.action') IN ('opened', 'reopened') +), +public_events_repos AS ( +SELECT DISTINCT json_extract(m.repo, '$.name') AS repo_name +FROM MONTH_202301 m +WHERE m.public = 1 +) +SELECT DISTINCT per.repo_name +FROM public_events_repos per +WHERE per.repo_name IN ( +SELECT fr.repo_name FROM forked_repos fr +UNION +SELECT ior.repo_name FROM issues_opened_repos ior +); +/* EXEC RESULT + repo_name + unifyai/ivy + truecharts/charts + sindresorhus/awesome + appsmithorg/appsmith + ksAutotests/TutorialAdminErrors +... TRUNCATED ... + steven-tey/dub + oldschoolgg/oldschoolbot +LaravelDaily/Test-Laravel-Routes + votingworks/vxsuite + themefisher/meghna-hugo +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.1-C.1` ----- +/* +{ + "id": "GQRY-A.0-B.1-C.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] forked or had issues opened and have public events": "(were forked OR had issues opened) AND (have public events in January 2023)", + "[B] issues opened": "issues created or reopened", + "[C] public events": "events of type 'PublicEvent'" + } + } +} +*/ +WITH forked_repos AS ( +SELECT DISTINCT json_extract(m.repo, '$.name') AS repo_name +FROM MONTH_202301 m +WHERE m.type = 'ForkEvent' +), +issues_opened_repos AS ( +SELECT DISTINCT json_extract(m.repo, '$.name') AS repo_name +FROM MONTH_202301 m +WHERE m.type = 'IssuesEvent' +AND json_extract(m.payload, '$.action') IN ('opened', 'reopened') +), +public_events_repos AS ( +SELECT DISTINCT json_extract(m.repo, '$.name') AS repo_name +FROM MONTH_202301 m +WHERE m.type = 'PublicEvent' +) +SELECT DISTINCT per.repo_name +FROM public_events_repos per +WHERE per.repo_name IN ( +SELECT fr.repo_name FROM forked_repos fr +UNION +SELECT ior.repo_name FROM issues_opened_repos ior +); +/* EXEC RESULT +Empty DataFrame +Columns: [repo_name] +Index: [] +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.0-C.0` ----- +/* +{ + "id": "GQRY-A.1-B.0-C.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] forked or had issues opened and have public events": "(were forked) OR (had issues opened AND have public events in January 2023)", + "[B] issues opened": "issues created", + "[C] public events": "events with attribute public=1" + } + } +} +*/ +WITH forked_repos AS ( +SELECT DISTINCT json_extract(m.repo, '$.name') AS repo_name +FROM MONTH_202301 m +WHERE m.type = 'ForkEvent' +), +issues_opened_repos AS ( +SELECT DISTINCT json_extract(m.repo, '$.name') AS repo_name +FROM MONTH_202301 m +WHERE m.type = 'IssuesEvent' +AND json_extract(m.payload, '$.action') = 'opened' +), +public_events_repos AS ( +SELECT DISTINCT json_extract(m.repo, '$.name') AS repo_name +FROM MONTH_202301 m +WHERE m.public = 1 +) +SELECT DISTINCT repo_name +FROM ( +SELECT fr.repo_name FROM forked_repos fr +UNION +SELECT ior.repo_name +FROM issues_opened_repos ior +INNER JOIN public_events_repos per ON ior.repo_name = per.repo_name +); +/* EXEC RESULT + repo_name + AirSkyBoat/AirSkyBoat + Automattic/jetpack + CDCgov/prime-reportstream +DantSu/ESCPOS-ThermalPrinter-Android + G-Research/armada +... TRUNCATED ... + truecharts/charts + unifyai/ivy + votingworks/vxsuite + wowsims/wotlk + wxy1343/ManifestAutoUpdate +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.0-C.1` ----- +/* +{ + "id": "GQRY-A.1-B.0-C.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] forked or had issues opened and have public events": "(were forked) OR (had issues opened AND have public events in January 2023)", + "[B] issues opened": "issues created", + "[C] public events": "events of type 'PublicEvent'" + } + } +} +*/ +WITH forked_repos AS ( +SELECT DISTINCT json_extract(m.repo, '$.name') AS repo_name +FROM MONTH_202301 m +WHERE m.type = 'ForkEvent' +), +issues_opened_repos AS ( +SELECT DISTINCT json_extract(m.repo, '$.name') AS repo_name +FROM MONTH_202301 m +WHERE m.type = 'IssuesEvent' +AND json_extract(m.payload, '$.action') = 'opened' +), +public_events_repos AS ( +SELECT DISTINCT json_extract(m.repo, '$.name') AS repo_name +FROM MONTH_202301 m +WHERE m.type = 'PublicEvent' +) +SELECT DISTINCT repo_name +FROM ( +SELECT fr.repo_name FROM forked_repos fr +UNION +SELECT ior.repo_name +FROM issues_opened_repos ior +INNER JOIN public_events_repos per ON ior.repo_name = per.repo_name +); +/* EXEC RESULT + repo_name + Homebrew/homebrew-cask + LAION-AI/Open-Assistant +LaravelDaily/Test-Laravel-Routes + MicrosoftDocs/azure-docs + OneKeyHQ/app-monorepo +... TRUNCATED ... + tgstation/tgstation + themefisher/meghna-hugo + truecharts/charts + unifyai/ivy + wxy1343/ManifestAutoUpdate +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.1-C.0` ----- +/* +{ + "id": "GQRY-A.1-B.1-C.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] forked or had issues opened and have public events": "(were forked) OR (had issues opened AND have public events in January 2023)", + "[B] issues opened": "issues created or reopened", + "[C] public events": "events with attribute public=1" + } + } +} +*/ +WITH forked_repos AS ( +SELECT DISTINCT json_extract(m.repo, '$.name') AS repo_name +FROM MONTH_202301 m +WHERE m.type = 'ForkEvent' +), +issues_opened_repos AS ( +SELECT DISTINCT json_extract(m.repo, '$.name') AS repo_name +FROM MONTH_202301 m +WHERE m.type = 'IssuesEvent' +AND json_extract(m.payload, '$.action') IN ('opened', 'reopened') +), +public_events_repos AS ( +SELECT DISTINCT json_extract(m.repo, '$.name') AS repo_name +FROM MONTH_202301 m +WHERE m.public = 1 +) +SELECT DISTINCT repo_name +FROM ( +SELECT fr.repo_name FROM forked_repos fr +UNION +SELECT ior.repo_name +FROM issues_opened_repos ior +INNER JOIN public_events_repos per ON ior.repo_name = per.repo_name +); +/* EXEC RESULT + repo_name + AirSkyBoat/AirSkyBoat + Automattic/jetpack + CDCgov/prime-reportstream +DantSu/ESCPOS-ThermalPrinter-Android + G-Research/armada +... TRUNCATED ... + truecharts/charts + unifyai/ivy + votingworks/vxsuite + wowsims/wotlk + wxy1343/ManifestAutoUpdate +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.1-C.1` ----- +/* +{ + "id": "GQRY-A.1-B.1-C.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] forked or had issues opened and have public events": "(were forked) OR (had issues opened AND have public events in January 2023)", + "[B] issues opened": "issues created or reopened", + "[C] public events": "events of type 'PublicEvent'" + } + } +} +*/ +WITH forked_repos AS ( +SELECT DISTINCT json_extract(m.repo, '$.name') AS repo_name +FROM MONTH_202301 m +WHERE m.type = 'ForkEvent' +), +issues_opened_repos AS ( +SELECT DISTINCT json_extract(m.repo, '$.name') AS repo_name +FROM MONTH_202301 m +WHERE m.type = 'IssuesEvent' +AND json_extract(m.payload, '$.action') IN ('opened', 'reopened') +), +public_events_repos AS ( +SELECT DISTINCT json_extract(m.repo, '$.name') AS repo_name +FROM MONTH_202301 m +WHERE m.type = 'PublicEvent' +) +SELECT DISTINCT repo_name +FROM ( +SELECT fr.repo_name FROM forked_repos fr +UNION +SELECT ior.repo_name +FROM issues_opened_repos ior +INNER JOIN public_events_repos per ON ior.repo_name = per.repo_name +); +/* EXEC RESULT + repo_name + Homebrew/homebrew-cask + LAION-AI/Open-Assistant +LaravelDaily/Test-Laravel-Routes + MicrosoftDocs/azure-docs + OneKeyHQ/app-monorepo +... TRUNCATED ... + tgstation/tgstation + themefisher/meghna-hugo + truecharts/charts + unifyai/ivy + wxy1343/ManifestAutoUpdate +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/047/gold_csv/GQRY-A.0.csv b/tasks/readable/047/gold_csv/GQRY-A.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..202eae78c2108dbc0bab8a2114383cf8ec2ef362 --- /dev/null +++ b/tasks/readable/047/gold_csv/GQRY-A.0.csv @@ -0,0 +1,2 @@ +COUNT(*) +63 diff --git a/tasks/readable/047/gold_csv/GQRY-A.1.csv b/tasks/readable/047/gold_csv/GQRY-A.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..e9cfac35e2824b780c6f4db02e31480cf6e24657 --- /dev/null +++ b/tasks/readable/047/gold_csv/GQRY-A.1.csv @@ -0,0 +1,2 @@ +COUNT(*) +88 diff --git a/tasks/readable/047/gold_csv/GQRY-A.2.csv b/tasks/readable/047/gold_csv/GQRY-A.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..54b2751cc727aa8686b0d3c5c9c552f970be2144 --- /dev/null +++ b/tasks/readable/047/gold_csv/GQRY-A.2.csv @@ -0,0 +1,2 @@ +COUNT(*) +151 diff --git a/tasks/readable/047/task_readable.sql b/tasks/readable/047/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..13327d6acd5de8c0fa5aeb9c832a3e4ebf089e3a --- /dev/null +++ b/tasks/readable/047/task_readable.sql @@ -0,0 +1,115 @@ +/* +{ + "qid": "047", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "github_repos", + "question": "Count the number of forks in public repositories in March.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "March", + "type": "finite", + "ambiguity_type": "semantic_table", + "interpretations": [ + "March 2022", + "March 2023", + "March in both 2022 and 2023" + ], + "intended_interpretation_idx": 2 + } + ], + "gold_intended_query_id": "GQRY-A.2", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0` ----- +/* +{ + "id": "GQRY-A.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] March": "March 2022" + } + } +} +*/ +SELECT COUNT(*) +FROM MONTH_202203 +WHERE type = 'ForkEvent' +AND public = 1; +/* EXEC RESULT + COUNT(*) + 63 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1` ----- +/* +{ + "id": "GQRY-A.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] March": "March 2023" + } + } +} +*/ +SELECT COUNT(*) +FROM MONTH_202303 +WHERE type = 'ForkEvent' +AND public = 1; +/* EXEC RESULT + COUNT(*) + 88 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.2` ----- +/* +{ + "id": "GQRY-A.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] March": "March in both 2022 and 2023" + } + } +} +*/ +SELECT COUNT(*) +FROM ( +SELECT * +FROM MONTH_202203 +WHERE type = 'ForkEvent' +AND public = 1 +UNION ALL +SELECT * +FROM MONTH_202303 +WHERE type = 'ForkEvent' +AND public = 1 +) AS combined_march; +/* EXEC RESULT + COUNT(*) + 151 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/048/gold_csv/GQRY-A.0-B.0.csv b/tasks/readable/048/gold_csv/GQRY-A.0-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..466a8962bf5ad39671f0fe83bd93a65f5563debd --- /dev/null +++ b/tasks/readable/048/gold_csv/GQRY-A.0-B.0.csv @@ -0,0 +1,2 @@ +COUNT(*) +46 diff --git a/tasks/readable/048/gold_csv/GQRY-A.0-B.1.csv b/tasks/readable/048/gold_csv/GQRY-A.0-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..03f5b61b4e95dfef054a28b198381ceb6d2189c3 --- /dev/null +++ b/tasks/readable/048/gold_csv/GQRY-A.0-B.1.csv @@ -0,0 +1,2 @@ +COUNT(*) +35 diff --git a/tasks/readable/048/gold_csv/GQRY-A.1-B.0.csv b/tasks/readable/048/gold_csv/GQRY-A.1-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..0ff68b62745765817b8fc40b38ea4dde0b932936 --- /dev/null +++ b/tasks/readable/048/gold_csv/GQRY-A.1-B.0.csv @@ -0,0 +1,2 @@ +COUNT(*) +0 diff --git a/tasks/readable/048/gold_csv/GQRY-A.1-B.1.csv b/tasks/readable/048/gold_csv/GQRY-A.1-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..0ff68b62745765817b8fc40b38ea4dde0b932936 --- /dev/null +++ b/tasks/readable/048/gold_csv/GQRY-A.1-B.1.csv @@ -0,0 +1,2 @@ +COUNT(*) +0 diff --git a/tasks/readable/048/task_readable.sql b/tasks/readable/048/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..037f837a4fd05751674e694dca39392edf8b78ce --- /dev/null +++ b/tasks/readable/048/task_readable.sql @@ -0,0 +1,243 @@ +/* +{ + "qid": "048", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "github_repos", + "question": "Count the number of repository IDs in YEAR_2023 that have public events and also received a large number of pull requests.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "public events", + "type": "finite", + "ambiguity_type": "semantic_computation", + "interpretations": [ + "events with attribute public=1", + "events of type 'PublicEvent'" + ], + "intended_interpretation_idx": 1 + }, + { + "id": "B", + "phrase": "received a large number of pull requests", + "type": "finite", + "ambiguity_type": "semantic_computation", + "interpretations": [ + "had many pull requests submitted", + "had many pull requests merged" + ], + "intended_interpretation_idx": 1 + }, + { + "id": "C", + "phrase": "received a large number of pull requests", + "type": "infinite", + "ambiguity_type": "semantic_value", + "parameter_name": "pr_count_threshold", + "parameter_dtype": "int", + "parameter_sample_operators": [ + ">", + ">=" + ], + "parameter_sample_values": [ + 12 + ], + "intended_parameter_operator": ">", + "intended_parameter_value": 12 + } + ], + "gold_intended_query_id": "GQRY-A.1-B.1", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0-B.0` ----- +/* +{ + "id": "GQRY-A.0-B.0", + "parameter_names": [ + "pr_count_threshold" + ], + "parameter_values": { + "pr_count_threshold": 12 + }, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] received a large number of pull requests": "had many pull requests submitted", + "[B] public events": "events with attribute public=1", + "[C] received a large number of pull requests": ":pr_count_threshold" + } + } +} +*/ +WITH repo_public_events AS ( +SELECT DISTINCT json_extract(repo, '$.id') as repo_id +FROM YEAR_2023 +WHERE public = 1 +), +repo_pull_requests AS ( +SELECT +json_extract(repo, '$.id') as repo_id, +COUNT(DISTINCT json_extract(payload, '$.pull_request.id')) as pull_request_count +FROM YEAR_2023 +WHERE type = 'PullRequestEvent' +AND json_extract(payload, '$.action') = 'opened' +GROUP BY repo_id +HAVING pull_request_count > :pr_count_threshold +) +SELECT COUNT(*) +FROM repo_public_events rpe +JOIN repo_pull_requests rpr ON rpe.repo_id = rpr.repo_id; +/* EXEC RESULT + COUNT(*) + 46 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.1` ----- +/* +{ + "id": "GQRY-A.0-B.1", + "parameter_names": [ + "pr_count_threshold" + ], + "parameter_values": { + "pr_count_threshold": 12 + }, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] received a large number of pull requests": "had many pull requests merged", + "[B] public events": "events with attribute public=1", + "[C] received a large number of pull requests": ":pr_count_threshold" + } + } +} +*/ +WITH repo_public_events AS ( +SELECT DISTINCT json_extract(repo, '$.id') as repo_id +FROM YEAR_2023 +WHERE public = 1 +), +repo_pull_requests AS ( +SELECT +json_extract(repo, '$.id') as repo_id, +COUNT(DISTINCT json_extract(payload, '$.pull_request.id')) as pull_request_count +FROM YEAR_2023 +WHERE type = 'PullRequestEvent' +AND json_extract(payload, '$.action') = 'closed' +AND json_extract(payload, '$.pull_request.merged') = true +GROUP BY repo_id +HAVING pull_request_count > :pr_count_threshold +) +SELECT COUNT(*) +FROM repo_public_events rpe +JOIN repo_pull_requests rpr ON rpe.repo_id = rpr.repo_id; +/* EXEC RESULT + COUNT(*) + 35 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.0` ----- +/* +{ + "id": "GQRY-A.1-B.0", + "parameter_names": [ + "pr_count_threshold" + ], + "parameter_values": { + "pr_count_threshold": 12 + }, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] received a large number of pull requests": "had many pull requests submitted", + "[B] public events": "events of type 'PublicEvent'", + "[C] received a large number of pull requests": ":pr_count_threshold" + } + } +} +*/ +WITH repo_public_events AS ( +SELECT DISTINCT json_extract(repo, '$.id') as repo_id +FROM YEAR_2023 +WHERE type = 'PublicEvent' +), +repo_pull_requests AS ( +SELECT +json_extract(repo, '$.id') as repo_id, +COUNT(DISTINCT json_extract(payload, '$.pull_request.id')) as pull_request_count +FROM YEAR_2023 +WHERE type = 'PullRequestEvent' +AND json_extract(payload, '$.action') = 'opened' +GROUP BY repo_id +HAVING pull_request_count > :pr_count_threshold +) +SELECT COUNT(*) +FROM repo_public_events rpe +JOIN repo_pull_requests rpr ON rpe.repo_id = rpr.repo_id; +/* EXEC RESULT + COUNT(*) + 0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.1` ----- +/* +{ + "id": "GQRY-A.1-B.1", + "parameter_names": [ + "pr_count_threshold" + ], + "parameter_values": { + "pr_count_threshold": 12 + }, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] received a large number of pull requests": "had many pull requests merged", + "[B] public events": "events of type 'PublicEvent'", + "[C] received a large number of pull requests": ":pr_count_threshold" + } + } +} +*/ +WITH repo_public_events AS ( +SELECT DISTINCT json_extract(repo, '$.id') as repo_id +FROM YEAR_2023 +WHERE type = 'PublicEvent' +), +repo_pull_requests AS ( +SELECT +json_extract(repo, '$.id') as repo_id, +COUNT(DISTINCT json_extract(payload, '$.pull_request.id')) as pull_request_count +FROM YEAR_2023 +WHERE type = 'PullRequestEvent' +AND json_extract(payload, '$.action') = 'closed' +AND json_extract(payload, '$.pull_request.merged') = true +GROUP BY repo_id +HAVING pull_request_count > :pr_count_threshold +) +SELECT COUNT(*) +FROM repo_public_events rpe +JOIN repo_pull_requests rpr ON rpe.repo_id = rpr.repo_id; +/* EXEC RESULT + COUNT(*) + 0 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/049/gold_csv/GQRY-B.0.csv b/tasks/readable/049/gold_csv/GQRY-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..c6df59e432bb7169a3ad6766cc92436f50588bde --- /dev/null +++ b/tasks/readable/049/gold_csv/GQRY-B.0.csv @@ -0,0 +1,12 @@ +contributor,pr_count +45622341,117 +41898282,120 +6948709,145 +49699333,183 +84948785,324 +30537854,334 +30538765,355 +30536864,370 +87541280,823 +97608502,1331 +694745,1607 diff --git a/tasks/readable/049/gold_csv/GQRY-B.1.csv b/tasks/readable/049/gold_csv/GQRY-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..51c20aea75e70ac8cc83170860bad2944351c8fc --- /dev/null +++ b/tasks/readable/049/gold_csv/GQRY-B.1.csv @@ -0,0 +1,4 @@ +contributor,pr_count +87541280,688 +97608502,880 +694745,997 diff --git a/tasks/readable/049/task_readable.sql b/tasks/readable/049/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..ad9f7cf0f2e6e715004234536f2b6b0bb9ec7cfb --- /dev/null +++ b/tasks/readable/049/task_readable.sql @@ -0,0 +1,134 @@ +/* +{ + "qid": "049", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "github_repos", + "question": "List the active PR contributors in 2022.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "active", + "type": "infinite", + "ambiguity_type": "semantic_value", + "parameter_name": "pr_count_threshold", + "parameter_dtype": "int", + "parameter_sample_operators": [ + ">", + ">=" + ], + "parameter_sample_values": [ + 100 + ], + "intended_parameter_operator": ">=", + "intended_parameter_value": 100 + }, + { + "id": "B", + "phrase": "PR", + "type": "finite", + "ambiguity_type": "semantic_computation", + "interpretations": [ + "pull requests submitted", + "pull requests submitted that were merged" + ], + "intended_interpretation_idx": 1 + } + ], + "gold_intended_query_id": "GQRY-B.1", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-B.0` ----- +/* +{ + "id": "GQRY-B.0", + "parameter_names": [ + "pr_count_threshold" + ], + "parameter_values": { + "pr_count_threshold": 100 + }, + "other_exec_results": [], + "required_columns": [ + 0 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] PR": "pull requests submitted", + "[B] active": ":pr_count_threshold" + } + } +} +*/ +SELECT +json_extract(payload, '$.pull_request.user.id') AS contributor, +COUNT(DISTINCT json_extract(payload, '$.pull_request.id')) AS pr_count +FROM YEAR_2022 +WHERE type = 'PullRequestEvent' +AND json_extract(payload, '$.action') = 'opened' +GROUP BY contributor +HAVING pr_count >= :pr_count_threshold +ORDER BY pr_count; +/* EXEC RESULT + contributor pr_count + 45622341 117 + 41898282 120 + 6948709 145 + 49699333 183 + 84948785 324 +... TRUNCATED ... + 30538765 355 + 30536864 370 + 87541280 823 + 97608502 1331 + 694745 1607 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-B.1` ----- +/* +{ + "id": "GQRY-B.1", + "parameter_names": [ + "pr_count_threshold" + ], + "parameter_values": { + "pr_count_threshold": 100 + }, + "other_exec_results": [], + "required_columns": [ + 0 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] PR": "pull requests submitted that were merged", + "[B] active": ":pr_count_threshold" + } + } +} +*/ +SELECT +json_extract(payload, '$.pull_request.user.id') AS contributor, +COUNT(DISTINCT json_extract(payload, '$.pull_request.id')) AS pr_count +FROM YEAR_2022 +WHERE type = 'PullRequestEvent' +AND json_extract(payload, '$.action') = 'closed' +AND json_extract(payload, '$.pull_request.merged') = true +AND strftime('%Y', json_extract(payload, '$.pull_request.created_at')) = '2022' +GROUP BY contributor +HAVING pr_count >= :pr_count_threshold +ORDER BY pr_count; +/* EXEC RESULT + contributor pr_count + 87541280 688 + 97608502 880 + 694745 997 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/050/gold_csv/GQRY-A.0.csv b/tasks/readable/050/gold_csv/GQRY-A.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..424bbcf486670f734e1cbb1b251f93848cc9a01d --- /dev/null +++ b/tasks/readable/050/gold_csv/GQRY-A.0.csv @@ -0,0 +1,2 @@ +event_count +28032 diff --git a/tasks/readable/050/gold_csv/GQRY-A.1.csv b/tasks/readable/050/gold_csv/GQRY-A.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..4f6ca2699276a4f0bac54f35dc3faf8dc0a49b26 --- /dev/null +++ b/tasks/readable/050/gold_csv/GQRY-A.1.csv @@ -0,0 +1,2 @@ +event_count +32200 diff --git a/tasks/readable/050/task_readable.sql b/tasks/readable/050/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..7be47116a33b1b206b8deb9bc27ff0d5c8ede9a2 --- /dev/null +++ b/tasks/readable/050/task_readable.sql @@ -0,0 +1,95 @@ +/* +{ + "qid": "050", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "github_repos", + "question": "What is the monthly average number of events during the period of the last quarter of 2022 and 2023?", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "last quarter of 2022 and 2023", + "type": "finite", + "ambiguity_type": "syntactic_table", + "interpretations": [ + "last quarter of 2022 and last quarter of 2023", + "last quarter of 2022 and entire 2023" + ], + "intended_interpretation_idx": 0 + } + ], + "gold_intended_query_id": "GQRY-A.0", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0` ----- +/* +{ + "id": "GQRY-A.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] last quarter of 2022 and 2023": "last quarter of 2022 and last quarter of 2023" + } + } +} +*/ +SELECT COUNT(*) / 6 AS event_count +FROM ( +SELECT * FROM MONTH_202210 +UNION ALL +SELECT * FROM MONTH_202211 +UNION ALL +SELECT * FROM MONTH_202212 +UNION ALL +SELECT * FROM MONTH_202310 +UNION ALL +SELECT * FROM MONTH_202311 +UNION ALL +SELECT * FROM MONTH_202312 +) t; +/* EXEC RESULT + event_count + 28032 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1` ----- +/* +{ + "id": "GQRY-A.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] last quarter of 2022 and 2023": "last quarter of 2022 and entire 2023" + } + } +} +*/ +SELECT COUNT(*) / 15 AS event_count +FROM ( +SELECT * FROM MONTH_202210 +UNION ALL +SELECT * FROM MONTH_202211 +UNION ALL +SELECT * FROM MONTH_202212 +UNION ALL +SELECT * FROM YEAR_2023 +) t; +/* EXEC RESULT + event_count + 32200 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/051/gold_csv/GQRY-B.0-C.0.csv b/tasks/readable/051/gold_csv/GQRY-B.0-C.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..b3955cf69b5b925c4543001b4c41fae24e03a1a9 --- /dev/null +++ b/tasks/readable/051/gold_csv/GQRY-B.0-C.0.csv @@ -0,0 +1,15 @@ +repo_name,"COALESCE(event_count, 0)" +grommet/grommet,16 +sindresorhus/awesome,112 +pypa/pip,20 +apple/swift,124 +avelino/awesome-go,44 +flutter/flutter,328 +MassTransit/MassTransit,6 +StockSharp/StockSharp,1 +code4craft/netty-learning,0 +scikit-learn/scikit-learn,85 +thoughtbot/clearance,0 +ansible/ansible,57 +gatsbyjs/gatsby,45 +getsentry/sentry,227 diff --git a/tasks/readable/051/gold_csv/GQRY-B.0-C.1.csv b/tasks/readable/051/gold_csv/GQRY-B.0-C.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..3e3b63e7d8d954f15433e78a2de02eac548415fd --- /dev/null +++ b/tasks/readable/051/gold_csv/GQRY-B.0-C.1.csv @@ -0,0 +1,15 @@ +repo_name,"COALESCE(event_count, 0)" +grommet/grommet,79 +sindresorhus/awesome,676 +pypa/pip,118 +apple/swift,689 +avelino/awesome-go,301 +flutter/flutter,2079 +MassTransit/MassTransit,32 +StockSharp/StockSharp,14 +code4craft/netty-learning,2 +scikit-learn/scikit-learn,446 +thoughtbot/clearance,2 +ansible/ansible,323 +gatsbyjs/gatsby,260 +getsentry/sentry,1372 diff --git a/tasks/readable/051/gold_csv/GQRY-B.1-C.0.csv b/tasks/readable/051/gold_csv/GQRY-B.1-C.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..96f4639008e364152acde9557556ff1ff2c9ff94 --- /dev/null +++ b/tasks/readable/051/gold_csv/GQRY-B.1-C.0.csv @@ -0,0 +1,15 @@ +repo_name,"COALESCE(event_count, 0)" +grommet/grommet,0 +sindresorhus/awesome,0 +pypa/pip,0 +apple/swift,0 +avelino/awesome-go,0 +flutter/flutter,0 +MassTransit/MassTransit,0 +StockSharp/StockSharp,0 +code4craft/netty-learning,0 +scikit-learn/scikit-learn,0 +thoughtbot/clearance,0 +ansible/ansible,0 +gatsbyjs/gatsby,0 +getsentry/sentry,0 diff --git a/tasks/readable/051/gold_csv/GQRY-B.1-C.1.csv b/tasks/readable/051/gold_csv/GQRY-B.1-C.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..96f4639008e364152acde9557556ff1ff2c9ff94 --- /dev/null +++ b/tasks/readable/051/gold_csv/GQRY-B.1-C.1.csv @@ -0,0 +1,15 @@ +repo_name,"COALESCE(event_count, 0)" +grommet/grommet,0 +sindresorhus/awesome,0 +pypa/pip,0 +apple/swift,0 +avelino/awesome-go,0 +flutter/flutter,0 +MassTransit/MassTransit,0 +StockSharp/StockSharp,0 +code4craft/netty-learning,0 +scikit-learn/scikit-learn,0 +thoughtbot/clearance,0 +ansible/ansible,0 +gatsbyjs/gatsby,0 +getsentry/sentry,0 diff --git a/tasks/readable/051/task_readable.sql b/tasks/readable/051/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..bb5b9057820d6419c43bb223b54156379cae5c04 --- /dev/null +++ b/tasks/readable/051/task_readable.sql @@ -0,0 +1,257 @@ +/* +{ + "qid": "051", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "github_repos", + "question": "For each sample repo with many watchers, show the number of public events in the first month of 2023 and 2022, return the result in (repo_name, count) pairs.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "many watchers", + "type": "infinite", + "ambiguity_type": "semantic_value", + "parameter_name": "watcher_threshold", + "parameter_dtype": "int", + "parameter_sample_operators": [ + ">", + ">=" + ], + "parameter_sample_values": [ + 160 + ], + "intended_parameter_operator": ">", + "intended_parameter_value": 160 + }, + { + "id": "B", + "phrase": "public events", + "type": "finite", + "ambiguity_type": "semantic_computation", + "interpretations": [ + "events with attribute public=1", + "events of type 'PublicEvent'" + ], + "intended_interpretation_idx": 1 + }, + { + "id": "C", + "phrase": "first month of 2023 and 2022", + "type": "finite", + "ambiguity_type": "syntactic_table", + "interpretations": [ + "January 2023 and January 2022", + "January 2023 and entire 2022" + ], + "intended_interpretation_idx": 1 + } + ], + "gold_intended_query_id": "GQRY-B.1-C.1", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-B.0-C.0` ----- +/* +{ + "id": "GQRY-B.0-C.0", + "parameter_names": [ + "watcher_threshold" + ], + "parameter_values": { + "watcher_threshold": 160 + }, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] public events": "events with attribute public=1", + "[B] first month of 2023 and 2022": "January 2023 and January 2022", + "[C] many watchers": ":watcher_threshold" + } + } +} +*/ +WITH public_events AS ( +SELECT json_extract(repo, '$.name') AS repo, COUNT(*) AS event_count +FROM ( +SELECT repo FROM MONTH_202201 WHERE public = 1 +UNION ALL +SELECT repo FROM MONTH_202301 WHERE public = 1 +) AS combined +GROUP BY json_extract(repo, '$.name') +) +SELECT sr.repo_name, COALESCE(event_count, 0) +FROM GITHUB_REPOS_SAMPLE_REPOS sr LEFT JOIN public_events pe ON sr.repo_name = pe.repo +WHERE watch_count > :watcher_threshold; +/* EXEC RESULT + repo_name COALESCE(event_count, 0) + grommet/grommet 16 + sindresorhus/awesome 112 + pypa/pip 20 + apple/swift 124 + avelino/awesome-go 44 +... TRUNCATED ... +scikit-learn/scikit-learn 85 + thoughtbot/clearance 0 + ansible/ansible 57 + gatsbyjs/gatsby 45 + getsentry/sentry 227 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-B.0-C.1` ----- +/* +{ + "id": "GQRY-B.0-C.1", + "parameter_names": [ + "watcher_threshold" + ], + "parameter_values": { + "watcher_threshold": 160 + }, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] public events": "events with attribute public=1", + "[B] first month of 2023 and 2022": "January 2023 and entire 2022", + "[C] many watchers": ":watcher_threshold" + } + } +} +*/ +WITH public_events AS ( +SELECT json_extract(repo, '$.name') AS repo, COUNT(*) AS event_count +FROM ( +SELECT repo FROM YEAR_2022 WHERE public = 1 +UNION ALL +SELECT repo FROM MONTH_202301 WHERE public = 1 +) AS combined +GROUP BY json_extract(repo, '$.name') +) +SELECT sr.repo_name, COALESCE(event_count, 0) +FROM GITHUB_REPOS_SAMPLE_REPOS sr LEFT JOIN public_events pe ON sr.repo_name = pe.repo +WHERE watch_count > :watcher_threshold; +/* EXEC RESULT + repo_name COALESCE(event_count, 0) + grommet/grommet 79 + sindresorhus/awesome 676 + pypa/pip 118 + apple/swift 689 + avelino/awesome-go 301 +... TRUNCATED ... +scikit-learn/scikit-learn 446 + thoughtbot/clearance 2 + ansible/ansible 323 + gatsbyjs/gatsby 260 + getsentry/sentry 1372 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-B.1-C.0` ----- +/* +{ + "id": "GQRY-B.1-C.0", + "parameter_names": [ + "watcher_threshold" + ], + "parameter_values": { + "watcher_threshold": 160 + }, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] public events": "events of type 'PublicEvent'", + "[B] first month of 2023 and 2022": "January 2023 and January 2022", + "[C] many watchers": ":watcher_threshold" + } + } +} +*/ +WITH public_events AS ( +SELECT json_extract(repo, '$.name') AS repo, COUNT(*) AS event_count +FROM ( +SELECT repo FROM MONTH_202201 WHERE type = 'PublicEvent' +UNION ALL +SELECT repo FROM MONTH_202301 WHERE type = 'PublicEvent' +) AS combined +GROUP BY json_extract(repo, '$.name') +) +SELECT sr.repo_name, COALESCE(event_count, 0) +FROM GITHUB_REPOS_SAMPLE_REPOS sr LEFT JOIN public_events pe ON sr.repo_name = pe.repo +WHERE watch_count > :watcher_threshold; +/* EXEC RESULT + repo_name COALESCE(event_count, 0) + grommet/grommet 0 + sindresorhus/awesome 0 + pypa/pip 0 + apple/swift 0 + avelino/awesome-go 0 +... TRUNCATED ... +scikit-learn/scikit-learn 0 + thoughtbot/clearance 0 + ansible/ansible 0 + gatsbyjs/gatsby 0 + getsentry/sentry 0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-B.1-C.1` ----- +/* +{ + "id": "GQRY-B.1-C.1", + "parameter_names": [ + "watcher_threshold" + ], + "parameter_values": { + "watcher_threshold": 160 + }, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] public events": "events of type 'PublicEvent'", + "[B] first month of 2023 and 2022": "January 2023 and entire 2022", + "[C] many watchers": ":watcher_threshold" + } + } +} +*/ +WITH public_events AS ( +SELECT json_extract(repo, '$.name') AS repo, COUNT(*) AS event_count +FROM ( +SELECT repo FROM YEAR_2022 WHERE type = 'PublicEvent' +UNION ALL +SELECT repo FROM MONTH_202301 WHERE type = 'PublicEvent' +) AS combined +GROUP BY json_extract(repo, '$.name') +) +SELECT sr.repo_name, COALESCE(event_count, 0) +FROM GITHUB_REPOS_SAMPLE_REPOS sr LEFT JOIN public_events pe ON sr.repo_name = pe.repo +WHERE watch_count > :watcher_threshold; +/* EXEC RESULT + repo_name COALESCE(event_count, 0) + grommet/grommet 0 + sindresorhus/awesome 0 + pypa/pip 0 + apple/swift 0 + avelino/awesome-go 0 +... TRUNCATED ... +scikit-learn/scikit-learn 0 + thoughtbot/clearance 0 + ansible/ansible 0 + gatsbyjs/gatsby 0 + getsentry/sentry 0 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/052/gold_csv/GQRY-A.0.csv b/tasks/readable/052/gold_csv/GQRY-A.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..678fea2857287b74eb41ccddf81e3b8c8c2f524f --- /dev/null +++ b/tasks/readable/052/gold_csv/GQRY-A.0.csv @@ -0,0 +1,1122 @@ +repo_name,source +0xSpaceShard/starknet-devnet,mikiw +0xcaffebabe/note,renovate[bot] +0xflotus/hashpic,0xflotus +11ty/11ty-community,github-actions[bot] +1Vlod/tg-expenses,1Vlod +1ssb/1ssb.github.io,1ssb +2syume/draw-and-guess,dependabot[bot] +9ummy/baekjoon,github-actions[bot] +Abdullah700/Abdullah700,github-actions[bot] +Acro1-sudo/vg-administrator-toolkit,Acro1-sudo +Adophilus/Adophilus,Adophilus +AirSkyBoat/AirSkyBoat,Frankie-hz +Alderon-Games/pathoftitans-bugs,AlderonEmu 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+unlock-protocol/unlock,unlock-protocol +vaughngit/projen-redshift-stack, +venomlinux/ports,venomlinux +verified-network/balancer-v2-verified,verified-network +vgijssel/setup,vgijssel +votingworks/vxsuite,votingworks +waku-org/js-waku,waku-org +walterjrr/walterjrr, +walterra/kibana, +wangfeiping/cosmos-sdk, +wdbayless/sotp-assistant, +weareblahs/covidcases, +web3cave/15-The-Defiant,web3cave +wenbochang888/house, +wesker926/leetcode-solution, +whlepod/Valorant-hack, +windrh/Artificial-Intelligence, +wowsims/wotlk,wowsims +wxy1343/ManifestAutoUpdate, +xPsYcH022x/YouTube_to_m3u, +xanthoc/upload-a-file-to-s3-bucket, +xinggsf/Adblock-Plus-Rule, +xs71/BingBG, +yaney01/autoproxy, +yanonono/booth-update, +yoshuaNahar/dropwizard, +yunshine/React-TypeScript-101, +yuonoda/terraform-provider-aws, +yuval-harpaz/alarms, +yyland/EibunMemo, +zalando-incubator/kubernetes-on-aws,zalando-incubator +zeitgeistpm/zeitgeist,zeitgeistpm +zfdang/Android-Touch-Helper, +znyt/oss112, +zpallenki/testing4, +ztreble/twitterAutoToken, diff --git a/tasks/readable/052/task_readable.sql b/tasks/readable/052/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..8db9f9bc706235d9c951079d39cb1bea3fd7eeda --- /dev/null +++ b/tasks/readable/052/task_readable.sql @@ -0,0 +1,139 @@ +/* +{ + "qid": "052", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "github_repos", + "question": "List all repositories in YEAR_2023, and for each, return its name and the source (identified by name) that contribute most events to it.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "source", + "type": "finite", + "ambiguity_type": "semantic_column", + "interpretations": [ + "user", + "organization" + ], + "intended_interpretation_idx": 1 + } + ], + "gold_intended_query_id": "GQRY-A.1", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0` ----- +/* +{ + "id": "GQRY-A.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] source": "user" + } + } +} +*/ +WITH max_events AS ( +SELECT json_extract(y.repo, '$.name') AS repo_name, json_extract(y.actor, '$.login') AS source, COUNT(*) AS event_count +FROM YEAR_2023 y +WHERE repo_name IS NOT NULL +GROUP BY repo_name, source +), +max_contributor AS ( +SELECT me.repo_name, me.source, me.event_count +FROM max_events me +WHERE me.event_count = ( +SELECT MAX(me2.event_count) +FROM max_events me2 +WHERE me2.repo_name = me.repo_name +AND me2.source IS NOT NULL +) +OR ( +me.source IS NULL AND NOT EXISTS ( +SELECT 1 FROM max_events me3 +WHERE me3.repo_name = me.repo_name AND me3.source IS NOT NULL +) +) +) +SELECT mc.repo_name, mc.source +FROM max_contributor mc; +/* EXEC RESULT + repo_name source +0xSpaceShard/starknet-devnet mikiw + 0xcaffebabe/note renovate[bot] + 0xflotus/hashpic 0xflotus + 11ty/11ty-community github-actions[bot] + 1Vlod/tg-expenses 1Vlod +... TRUNCATED ... + zfdang/Android-Touch-Helper zxc661212 + zfdang/Android-Touch-Helper zyh68 + znyt/oss112 znyt + zpallenki/testing4 zpallenki + ztreble/twitterAutoToken github-actions[bot] +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1` ----- +/* +{ + "id": "GQRY-A.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] source": "organization" + } + } +} +*/ +WITH max_events AS ( +SELECT json_extract(y.repo, '$.name') AS repo_name, json_extract(y.org, '$.login') AS source, COUNT(*) AS event_count +FROM YEAR_2023 y +WHERE repo_name IS NOT NULL +GROUP BY repo_name, source +), +max_contributor AS ( +SELECT me.repo_name, me.source, me.event_count +FROM max_events me +WHERE me.event_count = ( +SELECT MAX(me2.event_count) +FROM max_events me2 +WHERE me2.repo_name = me.repo_name +AND me2.source IS NOT NULL +) +OR ( +me.source IS NULL AND NOT EXISTS ( +SELECT 1 FROM max_events me3 +WHERE me3.repo_name = me.repo_name AND me3.source IS NOT NULL +) +) +) +SELECT mc.repo_name, mc.source +FROM max_contributor mc; +/* EXEC RESULT + repo_name source +0xSpaceShard/starknet-devnet 0xSpaceShard + 0xcaffebabe/note None + 0xflotus/hashpic None + 11ty/11ty-community 11ty + 1Vlod/tg-expenses None +... TRUNCATED ... + zeitgeistpm/zeitgeist zeitgeistpm + zfdang/Android-Touch-Helper None + znyt/oss112 None + zpallenki/testing4 None + ztreble/twitterAutoToken None +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/053/gold_csv/GQRY-B.0.csv b/tasks/readable/053/gold_csv/GQRY-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..7fe0da8303084b787626662dc2b5e4f376faa1d0 --- /dev/null +++ b/tasks/readable/053/gold_csv/GQRY-B.0.csv @@ -0,0 +1,4 @@ +repository +rstudio/rstudio +pypa/pip +getsentry/sentry diff --git a/tasks/readable/053/gold_csv/GQRY-B.1.csv b/tasks/readable/053/gold_csv/GQRY-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..e88b59c3ca13d8b27f9c3dd5f90731ab1b2ff8c9 --- /dev/null +++ b/tasks/readable/053/gold_csv/GQRY-B.1.csv @@ -0,0 +1,3 @@ +repo +pypa/pip +getsentry/sentry diff --git a/tasks/readable/053/task_readable.sql b/tasks/readable/053/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..1ab65007dc3f90cc6da7f4d3e8423168684e9d28 --- /dev/null +++ b/tasks/readable/053/task_readable.sql @@ -0,0 +1,109 @@ +/* +{ + "qid": "053", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "github_repos", + "question": "List the names of all repositories that contain large Python files or Java files.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "large", + "type": "infinite", + "ambiguity_type": "semantic_value", + "parameter_name": "file_byte_threshold", + "parameter_dtype": "int", + "parameter_sample_operators": [ + ">", + ">=" + ], + "parameter_sample_values": [ + 10240 + ], + "intended_parameter_operator": ">", + "intended_parameter_value": 10240 + }, + { + "id": "B", + "phrase": "large Python files or Java files", + "type": "finite", + "ambiguity_type": "syntactic_computation", + "interpretations": [ + "large Python files or any Java files.", + "large Python files or large Java files." + ], + "intended_interpretation_idx": 0 + } + ], + "gold_intended_query_id": "GQRY-B.0", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-B.0` ----- +/* +{ + "id": "GQRY-B.0", + "parameter_names": [ + "file_byte_threshold" + ], + "parameter_values": { + "file_byte_threshold": 10240 + }, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] large Python files or Java files": "large Python files or any Java files.", + "[B] large": ":file_byte_threshold" + } + } +} +*/ +SELECT DISTINCT sample_repo_name AS repository +FROM GITHUB_REPOS_SAMPLE_CONTENTS +WHERE (LOWER(sample_path) LIKE '%.py' AND size > :file_byte_threshold) +OR (LOWER(sample_path) LIKE '%.java'); +/* EXEC RESULT + repository + rstudio/rstudio + pypa/pip +getsentry/sentry +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-B.1` ----- +/* +{ + "id": "GQRY-B.1", + "parameter_names": [ + "file_byte_threshold" + ], + "parameter_values": { + "file_byte_threshold": 10240 + }, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] large Python files or Java files": "large Python files or large Java files.", + "[B] large": ":file_byte_threshold" + } + } +} +*/ +SELECT DISTINCT sample_repo_name AS repo +FROM GITHUB_REPOS_SAMPLE_CONTENTS +WHERE size > :file_byte_threshold +AND (LOWER(sample_path) LIKE '%.py' OR LOWER(sample_path) LIKE '%.java'); +/* EXEC RESULT + repo + pypa/pip +getsentry/sentry +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/054/gold_csv/GQRY-A.0-C.0.csv b/tasks/readable/054/gold_csv/GQRY-A.0-C.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..d5828cd2b1720ab0926dcbee1dd0762b037d622d --- /dev/null +++ b/tasks/readable/054/gold_csv/GQRY-A.0-C.0.csv @@ -0,0 +1,3 @@ +repo_name,cpp_amount,python_amount +apple/swift,49043456,1831390 +scikit-learn/scikit-learn,147316,10545498 diff --git a/tasks/readable/054/gold_csv/GQRY-A.0-C.1.csv b/tasks/readable/054/gold_csv/GQRY-A.0-C.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..bc4f4eca3e2666b65ff2514a9dc7eb61d6ccea8a --- /dev/null +++ b/tasks/readable/054/gold_csv/GQRY-A.0-C.1.csv @@ -0,0 +1,3 @@ +repo_name,cpp_amount,python_amount +apple/swift,0,0 +scikit-learn/scikit-learn,0,58 diff --git a/tasks/readable/054/gold_csv/GQRY-A.0-C.2.csv b/tasks/readable/054/gold_csv/GQRY-A.0-C.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..a4f82b3c0ab7286e42adf54c6b96ee7de353288d --- /dev/null +++ b/tasks/readable/054/gold_csv/GQRY-A.0-C.2.csv @@ -0,0 +1,3 @@ +repo_name,cpp_amount,python_amount +apple/swift,4,3 +scikit-learn/scikit-learn,0,8 diff --git a/tasks/readable/054/gold_csv/GQRY-A.0-C.3.csv b/tasks/readable/054/gold_csv/GQRY-A.0-C.3.csv new file mode 100644 index 0000000000000000000000000000000000000000..6ff78d150473f44cea81890e34bdabbd235cb115 --- /dev/null +++ b/tasks/readable/054/gold_csv/GQRY-A.0-C.3.csv @@ -0,0 +1,3 @@ +repo_name,cpp_amount,python_amount +apple/swift,0,0 +scikit-learn/scikit-learn,0,1 diff --git a/tasks/readable/054/gold_csv/GQRY-A.1-C.0.csv b/tasks/readable/054/gold_csv/GQRY-A.1-C.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..e6338b4d5e223b439a8e615919ea1ac7ebd401f0 --- /dev/null +++ b/tasks/readable/054/gold_csv/GQRY-A.1-C.0.csv @@ -0,0 +1,7 @@ +repo_name,cpp_amount,python_amount +apple/swift,49043456,1831390 +scikit-learn/scikit-learn,147316,10545498 +ansible/ansible,0,9198967 +pypa/pip,0,7137503 +gatsbyjs/gatsby,0,281 +flutter/flutter,104309,0 diff --git a/tasks/readable/054/gold_csv/GQRY-A.1-C.1.csv b/tasks/readable/054/gold_csv/GQRY-A.1-C.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..27048b0fe2d2a6c4628b4753a746bff68ab0915a --- /dev/null +++ b/tasks/readable/054/gold_csv/GQRY-A.1-C.1.csv @@ -0,0 +1,7 @@ +repo_name,cpp_amount,python_amount +apple/swift,0,0 +scikit-learn/scikit-learn,0,58 +ansible/ansible,0,0 +pypa/pip,0,601 +gatsbyjs/gatsby,0,0 +flutter/flutter,0,0 diff --git a/tasks/readable/054/gold_csv/GQRY-A.1-C.2.csv b/tasks/readable/054/gold_csv/GQRY-A.1-C.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..4fdafab030bbfd7b91d7da323cda490cc82d060f --- /dev/null +++ b/tasks/readable/054/gold_csv/GQRY-A.1-C.2.csv @@ -0,0 +1,7 @@ +repo_name,cpp_amount,python_amount +apple/swift,4,3 +scikit-learn/scikit-learn,0,8 +ansible/ansible,0,4 +pypa/pip,0,1 +gatsbyjs/gatsby,0,0 +flutter/flutter,0,0 diff --git a/tasks/readable/054/gold_csv/GQRY-A.1-C.3.csv b/tasks/readable/054/gold_csv/GQRY-A.1-C.3.csv new file mode 100644 index 0000000000000000000000000000000000000000..c485c5043ada648e2a00c68e0426d7ff224e25b8 --- /dev/null +++ b/tasks/readable/054/gold_csv/GQRY-A.1-C.3.csv @@ -0,0 +1,7 @@ +repo_name,cpp_amount,python_amount +apple/swift,0,0 +scikit-learn/scikit-learn,0,1 +ansible/ansible,0,0 +pypa/pip,0,1 +gatsbyjs/gatsby,0,0 +flutter/flutter,0,0 diff --git a/tasks/readable/054/task_readable.sql b/tasks/readable/054/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..f3fc9829b99a95fd719064c74d96d5bc96feb913 --- /dev/null +++ b/tasks/readable/054/task_readable.sql @@ -0,0 +1,655 @@ +/* +{ + "qid": "054", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "github_repos", + "question": "For each repository using C++ and Python in GITHUB_REPOS_LANGUAGES that has many watchers, compare the amount of C++ and Python. Return the result as (repo_name, C++ amount, Python amount).", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "repository using C++ and Python", + "type": "finite", + "ambiguity_type": "semantic_computation", + "interpretations": [ + "repository using both C++ and Python ('and' means logical AND)", + "repository using either C++ or Python ('and' means UNION)" + ], + "intended_interpretation_idx": 0 + }, + { + "id": "B", + "phrase": "many watchers", + "type": "infinite", + "ambiguity_type": "semantic_value", + "parameter_name": "watcher_threshold", + "parameter_dtype": "int", + "parameter_sample_operators": [ + ">", + ">=" + ], + "parameter_sample_values": [ + 100 + ], + "intended_parameter_operator": ">=", + "intended_parameter_value": 100 + }, + { + "id": "C", + "phrase": "amount of C++ and Python", + "type": "finite", + "ambiguity_type": "semantic_computation", + "interpretations": [ + "total bytes of code (using the GITHUB_REPOS_LANGUAGES table)", + "lines of code (using the GITHUB_REPOS_SAMPLE_CONTENTS table)", + "number of files (using the GITHUB_REPOS_SAMPLE_FILES table)", + "number of files (using the GITHUB_REPOS_SAMPLE_CONTENTS table)" + ], + "intended_interpretation_idx": 1 + } + ], + "gold_intended_query_id": "GQRY-A.0-C.1", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0-C.0` ----- +/* +{ + "id": "GQRY-A.0-C.0", + "parameter_names": [ + "watcher_threshold" + ], + "parameter_values": { + "watcher_threshold": 100 + }, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] repository using C++ and Python": "repository using both C++ and Python ('and' means logical AND)", + "[B] amount of C++ and Python": "total bytes of code (using the GITHUB_REPOS_LANGUAGES table)", + "[C] many watchers": ":watcher_threshold" + } + } +} +*/ +WITH language_data AS ( +SELECT +repo_name, +json_extract(value, '$.name') AS language, +CAST(json_extract(value, '$.bytes') AS INTEGER) AS bytes +FROM GITHUB_REPOS_LANGUAGES, +json_each(GITHUB_REPOS_LANGUAGES.language) +), +cpp_amount AS ( +SELECT +repo_name, +SUM(bytes) AS cpp_amount +FROM language_data +WHERE language = 'C++' +GROUP BY repo_name +), +python_amount AS ( +SELECT +repo_name, +SUM(bytes) AS python_amount +FROM language_data +WHERE language = 'Python' +GROUP BY repo_name +), +watch_repos AS ( +SELECT +repo_name, +watch_count +FROM GITHUB_REPOS_SAMPLE_REPOS +WHERE watch_count >= :watcher_threshold +) +SELECT ca.repo_name, +ca.cpp_amount, +pa.python_amount +FROM cpp_amount ca +JOIN python_amount pa ON ca.repo_name = pa.repo_name +WHERE ca.repo_name IN (SELECT wr.repo_name FROM watch_repos wr); +/* EXEC RESULT + repo_name cpp_amount python_amount + apple/swift 49043456 1831390 +scikit-learn/scikit-learn 147316 10545498 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-C.1` ----- +/* +{ + "id": "GQRY-A.0-C.1", + "parameter_names": [ + "watcher_threshold" + ], + "parameter_values": { + "watcher_threshold": 100 + }, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] repository using C++ and Python": "repository using both C++ and Python ('and' means logical AND)", + "[B] amount of C++ and Python": "lines of code (using the GITHUB_REPOS_SAMPLE_CONTENTS table)", + "[C] many watchers": ":watcher_threshold" + } + } +} +*/ +WITH language_data AS ( +SELECT +repo_name, +json_extract(value, '$.name') AS language, +CAST(json_extract(value, '$.bytes') AS INTEGER) AS bytes +FROM GITHUB_REPOS_LANGUAGES, +json_each(GITHUB_REPOS_LANGUAGES.language) +), +cpp_python_repos AS ( +SELECT DISTINCT ld.repo_name +FROM language_data ld +WHERE ld.language IN ('Python', 'C++') +GROUP BY ld.repo_name +HAVING COUNT(DISTINCT ld.language) = 2 +), +cpp_amount AS ( +SELECT +sc.sample_repo_name AS repo_name, +SUM(LENGTH(RTRIM(sc.content, CHAR(10) || CHAR(13))) - LENGTH(REPLACE(RTRIM(sc.content, CHAR(10) || CHAR(13)), CHAR(10), '')) + 1) AS cpp_amount +FROM GITHUB_REPOS_SAMPLE_CONTENTS sc +WHERE LOWER(sc.sample_path) LIKE '%.cpp' +GROUP BY sc.sample_repo_name +), +python_amount AS ( +SELECT +sc.sample_repo_name AS repo_name, +SUM(LENGTH(sc.content) - LENGTH(REPLACE(sc.content, CHAR(10), '')) + 1) AS python_amount +FROM GITHUB_REPOS_SAMPLE_CONTENTS sc +WHERE LOWER(sc.sample_path) LIKE '%.py' +GROUP BY sc.sample_repo_name +), +watch_repos AS ( +SELECT +repo_name, +watch_count +FROM GITHUB_REPOS_SAMPLE_REPOS +WHERE watch_count >= :watcher_threshold +) +SELECT cpp_python_repos.repo_name, +COALESCE(ca.cpp_amount, 0) AS cpp_amount, +COALESCE(pa.python_amount, 0) AS python_amount +FROM cpp_python_repos +LEFT JOIN cpp_amount ca ON ca.repo_name = cpp_python_repos.repo_name +LEFT JOIN python_amount pa ON pa.repo_name = cpp_python_repos.repo_name +WHERE cpp_python_repos.repo_name IN (SELECT wr.repo_name FROM watch_repos wr); +/* EXEC RESULT + repo_name cpp_amount python_amount + apple/swift 0 0 +scikit-learn/scikit-learn 0 58 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-C.2` ----- +/* +{ + "id": "GQRY-A.0-C.2", + "parameter_names": [ + "watcher_threshold" + ], + "parameter_values": { + "watcher_threshold": 100 + }, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] repository using C++ and Python": "repository using both C++ and Python ('and' means logical AND)", + "[B] amount of C++ and Python": "number of files (using the GITHUB_REPOS_SAMPLE_FILES table)", + "[C] many watchers": ":watcher_threshold" + } + } +} +*/ +WITH language_data AS ( +SELECT +repo_name, +json_extract(value, '$.name') AS language, +CAST(json_extract(value, '$.bytes') AS INTEGER) AS bytes +FROM GITHUB_REPOS_LANGUAGES, +json_each(GITHUB_REPOS_LANGUAGES.language) +), +cpp_python_repos AS ( +SELECT DISTINCT ld.repo_name +FROM language_data ld +WHERE ld.language IN ('Python', 'C++') +GROUP BY ld.repo_name +HAVING COUNT(DISTINCT ld.language) = 2 +), +cpp_amount AS ( +SELECT +sf.repo_name, +COUNT(*) AS cpp_amount +FROM GITHUB_REPOS_SAMPLE_FILES sf +WHERE LOWER(sf.path) LIKE '%.cpp' +GROUP BY sf.repo_name +), +python_amount AS ( +SELECT +sf.repo_name, +COUNT(*) AS python_amount +FROM GITHUB_REPOS_SAMPLE_FILES sf +WHERE LOWER(sf.path) LIKE '%.py' +GROUP BY sf.repo_name +), +watch_repos AS ( +SELECT +repo_name, +watch_count +FROM GITHUB_REPOS_SAMPLE_REPOS +WHERE watch_count >= :watcher_threshold +) +SELECT cpp_python_repos.repo_name, +COALESCE(ca.cpp_amount, 0) AS cpp_amount, +COALESCE(pa.python_amount, 0) AS python_amount +FROM cpp_python_repos +LEFT JOIN cpp_amount ca ON ca.repo_name = cpp_python_repos.repo_name +LEFT JOIN python_amount pa ON pa.repo_name = cpp_python_repos.repo_name +WHERE cpp_python_repos.repo_name IN (SELECT wr.repo_name FROM watch_repos wr); +/* EXEC RESULT + repo_name cpp_amount python_amount + apple/swift 4 3 +scikit-learn/scikit-learn 0 8 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-C.3` ----- +/* +{ + "id": "GQRY-A.0-C.3", + "parameter_names": [ + "watcher_threshold" + ], + "parameter_values": { + "watcher_threshold": 100 + }, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] repository using C++ and Python": "repository using both C++ and Python ('and' means logical AND)", + "[B] amount of C++ and Python": "number of files (using the GITHUB_REPOS_SAMPLE_CONTENTS table)", + "[C] many watchers": ":watcher_threshold" + } + } +} +*/ +WITH language_data AS ( +SELECT +repo_name, +json_extract(value, '$.name') AS language, +CAST(json_extract(value, '$.bytes') AS INTEGER) AS bytes +FROM GITHUB_REPOS_LANGUAGES, +json_each(GITHUB_REPOS_LANGUAGES.language) +), +cpp_python_repos AS ( +SELECT DISTINCT ld.repo_name +FROM language_data ld +WHERE ld.language IN ('Python', 'C++') +GROUP BY ld.repo_name +HAVING COUNT(DISTINCT ld.language) = 2 +), +cpp_amount AS ( +SELECT +sc.sample_repo_name AS repo_name, +COUNT(*) AS cpp_amount +FROM GITHUB_REPOS_SAMPLE_CONTENTS sc +WHERE LOWER(sc.sample_path) LIKE '%.cpp' +GROUP BY sc.sample_repo_name +), +python_amount AS ( +SELECT +sc.sample_repo_name AS repo_name, +COUNT(*) AS python_amount +FROM GITHUB_REPOS_SAMPLE_CONTENTS sc +WHERE LOWER(sc.sample_path) LIKE '%.py' +GROUP BY sc.sample_repo_name +), +watch_repos AS ( +SELECT +repo_name, +watch_count +FROM GITHUB_REPOS_SAMPLE_REPOS +WHERE watch_count >= :watcher_threshold +) +SELECT cpp_python_repos.repo_name, +COALESCE(ca.cpp_amount, 0) AS cpp_amount, +COALESCE(pa.python_amount, 0) AS python_amount +FROM cpp_python_repos +LEFT JOIN cpp_amount ca ON ca.repo_name = cpp_python_repos.repo_name +LEFT JOIN python_amount pa ON pa.repo_name = cpp_python_repos.repo_name +WHERE cpp_python_repos.repo_name IN (SELECT wr.repo_name FROM watch_repos wr); +/* EXEC RESULT + repo_name cpp_amount python_amount + apple/swift 0 0 +scikit-learn/scikit-learn 0 1 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-C.0` ----- +/* +{ + "id": "GQRY-A.1-C.0", + "parameter_names": [ + "watcher_threshold" + ], + "parameter_values": { + "watcher_threshold": 100 + }, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] repository using C++ and Python": "repository using either C++ or Python ('and' means UNION)", + "[B] amount of C++ and Python": "total bytes of code (using the GITHUB_REPOS_LANGUAGES table)", + "[C] many watchers": ":watcher_threshold" + } + } +} +*/ +WITH language_data AS ( +SELECT +repo_name, +json_extract(value, '$.name') AS language, +CAST(json_extract(value, '$.bytes') AS INTEGER) AS bytes +FROM GITHUB_REPOS_LANGUAGES, +json_each(GITHUB_REPOS_LANGUAGES.language) +), +cpp_python_repos AS ( +SELECT DISTINCT ld.repo_name +FROM language_data ld +WHERE ld.language IN ('Python', 'C++') +), +cpp_amount AS ( +SELECT +repo_name, +SUM(bytes) AS cpp_amount +FROM language_data +WHERE language = 'C++' +GROUP BY repo_name +), +python_amount AS ( +SELECT +repo_name, +SUM(bytes) AS python_amount +FROM language_data +WHERE language = 'Python' +GROUP BY repo_name +), +watch_repos AS ( +SELECT +repo_name, +watch_count +FROM GITHUB_REPOS_SAMPLE_REPOS +WHERE watch_count >= :watcher_threshold +) +SELECT cpp_python_repos.repo_name, +COALESCE(ca.cpp_amount, 0) AS cpp_amount, +COALESCE(pa.python_amount, 0) AS python_amount +FROM cpp_python_repos +LEFT JOIN cpp_amount ca ON ca.repo_name = cpp_python_repos.repo_name +LEFT JOIN python_amount pa ON pa.repo_name = cpp_python_repos.repo_name +WHERE cpp_python_repos.repo_name IN (SELECT wr.repo_name FROM watch_repos wr); +/* EXEC RESULT + repo_name cpp_amount python_amount + apple/swift 49043456 1831390 +scikit-learn/scikit-learn 147316 10545498 + ansible/ansible 0 9198967 + pypa/pip 0 7137503 + gatsbyjs/gatsby 0 281 + flutter/flutter 104309 0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-C.1` ----- +/* +{ + "id": "GQRY-A.1-C.1", + "parameter_names": [ + "watcher_threshold" + ], + "parameter_values": { + "watcher_threshold": 100 + }, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] repository using C++ and Python": "repository using either C++ or Python ('and' means UNION)", + "[B] amount of C++ and Python": "lines of code (using the GITHUB_REPOS_SAMPLE_CONTENTS table)", + "[C] many watchers": ":watcher_threshold" + } + } +} +*/ +WITH language_data AS ( +SELECT +repo_name, +json_extract(value, '$.name') AS language, +CAST(json_extract(value, '$.bytes') AS INTEGER) AS bytes +FROM GITHUB_REPOS_LANGUAGES, +json_each(GITHUB_REPOS_LANGUAGES.language) +), +cpp_python_repos AS ( +SELECT DISTINCT ld.repo_name +FROM language_data ld +WHERE ld.language IN ('Python', 'C++') +), +cpp_amount AS ( +SELECT +sc.sample_repo_name AS repo_name, +SUM(LENGTH(RTRIM(sc.content, CHAR(10) || CHAR(13))) - LENGTH(REPLACE(RTRIM(sc.content, CHAR(10) || CHAR(13)), CHAR(10), '')) + 1) AS cpp_amount +FROM GITHUB_REPOS_SAMPLE_CONTENTS sc +WHERE LOWER(sc.sample_path) LIKE '%.cpp' +GROUP BY sc.sample_repo_name +), +python_amount AS ( +SELECT +sc.sample_repo_name AS repo_name, +SUM(LENGTH(sc.content) - LENGTH(REPLACE(sc.content, CHAR(10), '')) + 1) AS python_amount +FROM GITHUB_REPOS_SAMPLE_CONTENTS sc +WHERE LOWER(sc.sample_path) LIKE '%.py' +GROUP BY sc.sample_repo_name +), +watch_repos AS ( +SELECT +repo_name, +watch_count +FROM GITHUB_REPOS_SAMPLE_REPOS +WHERE watch_count >= :watcher_threshold +) +SELECT cpp_python_repos.repo_name, +COALESCE(ca.cpp_amount, 0) AS cpp_amount, +COALESCE(pa.python_amount, 0) AS python_amount +FROM cpp_python_repos +LEFT JOIN cpp_amount ca ON ca.repo_name = cpp_python_repos.repo_name +LEFT JOIN python_amount pa ON pa.repo_name = cpp_python_repos.repo_name +WHERE cpp_python_repos.repo_name IN (SELECT wr.repo_name FROM watch_repos wr); +/* EXEC RESULT + repo_name cpp_amount python_amount + apple/swift 0 0 +scikit-learn/scikit-learn 0 58 + ansible/ansible 0 0 + pypa/pip 0 601 + gatsbyjs/gatsby 0 0 + flutter/flutter 0 0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-C.2` ----- +/* +{ + "id": "GQRY-A.1-C.2", + "parameter_names": [ + "watcher_threshold" + ], + "parameter_values": { + "watcher_threshold": 100 + }, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] repository using C++ and Python": "repository using either C++ or Python ('and' means UNION)", + "[B] amount of C++ and Python": "number of files (using the GITHUB_REPOS_SAMPLE_FILES table)", + "[C] many watchers": ":watcher_threshold" + } + } +} +*/ +WITH language_data AS ( +SELECT +repo_name, +json_extract(value, '$.name') AS language, +CAST(json_extract(value, '$.bytes') AS INTEGER) AS bytes +FROM GITHUB_REPOS_LANGUAGES, +json_each(GITHUB_REPOS_LANGUAGES.language) +), +cpp_python_repos AS ( +SELECT DISTINCT ld.repo_name +FROM language_data ld +WHERE ld.language IN ('Python', 'C++') +), +cpp_amount AS ( +SELECT +sf.repo_name, +COUNT(*) AS cpp_amount +FROM GITHUB_REPOS_SAMPLE_FILES sf +WHERE LOWER(sf.path) LIKE '%.cpp' +GROUP BY sf.repo_name +), +python_amount AS ( +SELECT +sf.repo_name, +COUNT(*) AS python_amount +FROM GITHUB_REPOS_SAMPLE_FILES sf +WHERE LOWER(sf.path) LIKE '%.py' +GROUP BY sf.repo_name +), +watch_repos AS ( +SELECT +repo_name, +watch_count +FROM GITHUB_REPOS_SAMPLE_REPOS +WHERE watch_count >= :watcher_threshold +) +SELECT cpp_python_repos.repo_name, +COALESCE(ca.cpp_amount, 0) AS cpp_amount, +COALESCE(pa.python_amount, 0) AS python_amount +FROM cpp_python_repos +LEFT JOIN cpp_amount ca ON ca.repo_name = cpp_python_repos.repo_name +LEFT JOIN python_amount pa ON pa.repo_name = cpp_python_repos.repo_name +WHERE cpp_python_repos.repo_name IN (SELECT wr.repo_name FROM watch_repos wr); +/* EXEC RESULT + repo_name cpp_amount python_amount + apple/swift 4 3 +scikit-learn/scikit-learn 0 8 + ansible/ansible 0 4 + pypa/pip 0 1 + gatsbyjs/gatsby 0 0 + flutter/flutter 0 0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-C.3` ----- +/* +{ + "id": "GQRY-A.1-C.3", + "parameter_names": [ + "watcher_threshold" + ], + "parameter_values": { + "watcher_threshold": 100 + }, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] repository using C++ and Python": "repository using either C++ or Python ('and' means UNION)", + "[B] amount of C++ and Python": "number of files (using the GITHUB_REPOS_SAMPLE_CONTENTS table)", + "[C] many watchers": ":watcher_threshold" + } + } +} +*/ +WITH language_data AS ( +SELECT +repo_name, +json_extract(value, '$.name') AS language, +CAST(json_extract(value, '$.bytes') AS INTEGER) AS bytes +FROM GITHUB_REPOS_LANGUAGES, +json_each(GITHUB_REPOS_LANGUAGES.language) +), +cpp_python_repos AS ( +SELECT DISTINCT ld.repo_name +FROM language_data ld +WHERE ld.language IN ('Python', 'C++') +), +cpp_amount AS ( +SELECT +sc.sample_repo_name AS repo_name, +COUNT(*) AS cpp_amount +FROM GITHUB_REPOS_SAMPLE_CONTENTS sc +WHERE LOWER(sc.sample_path) LIKE '%.cpp' +GROUP BY sc.sample_repo_name +), +python_amount AS ( +SELECT +sc.sample_repo_name AS repo_name, +COUNT(*) AS python_amount +FROM GITHUB_REPOS_SAMPLE_CONTENTS sc +WHERE LOWER(sc.sample_path) LIKE '%.py' +GROUP BY sc.sample_repo_name +), +watch_repos AS ( +SELECT +repo_name, +watch_count +FROM GITHUB_REPOS_SAMPLE_REPOS +WHERE watch_count >= :watcher_threshold +) +SELECT cpp_python_repos.repo_name, +COALESCE(ca.cpp_amount, 0) AS cpp_amount, +COALESCE(pa.python_amount, 0) AS python_amount +FROM cpp_python_repos +LEFT JOIN cpp_amount ca ON ca.repo_name = cpp_python_repos.repo_name +LEFT JOIN python_amount pa ON pa.repo_name = cpp_python_repos.repo_name +WHERE cpp_python_repos.repo_name IN (SELECT wr.repo_name FROM watch_repos wr); +/* EXEC RESULT + repo_name cpp_amount python_amount + apple/swift 0 0 +scikit-learn/scikit-learn 0 1 + ansible/ansible 0 0 + pypa/pip 0 1 + gatsbyjs/gatsby 0 0 + flutter/flutter 0 0 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/055/gold_csv/GQRY-A.0.csv b/tasks/readable/055/gold_csv/GQRY-A.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..6501275f1663c2b8a99caec2a8e2205f84f183f7 --- /dev/null +++ b/tasks/readable/055/gold_csv/GQRY-A.0.csv @@ -0,0 +1,93 @@ +email +4a57785b02e7b752fc2eb7d1c97db94302a41bf7@users.noreply.github.com +551dfda1d9ec62c1ce227238888dd7cabf45ee7e@users.noreply.github.com +9bfb05020696f9b47cb096a1f9369f4170cf02d3@users.noreply.github.com +a869d7994dad3655d9d21972841cacd352eaa0c4@users.noreply.github.com +ae1c7a81971cd87243eb6e815ca4a320961564e9@users.noreply.github.com 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+e70f7f8b83e45e60d46c24187f2f1d41e0c54d54@apple.com +edb94f919da1a6788e81521583c15d232f30f136@gmail.com +f1682ebb83d0ce00b2767a78fc8ea26a8af24e40@apple.com +f715bb83499a354a7768d309dde2adb299a9f442@apple.com +f861e98f10aee98dc7dce70e80887ecdfdeb65b1@apple.com +fb557bf086ed2b11438cabe542327e0fb845e545@apple.com +ffb4761cba839470133bee36aeb139f58d7dbaa9@sb.org diff --git a/tasks/readable/055/task_readable.sql b/tasks/readable/055/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..b415bf1d6318f64737f7dae396b2430698eeede0 --- /dev/null +++ b/tasks/readable/055/task_readable.sql @@ -0,0 +1,138 @@ +/* +{ + "qid": "055", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "github_repos", + "question": "Find emails of all contributors in the sample commits.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "contributors", + "type": "finite", + "ambiguity_type": "semantic_column", + "interpretations": [ + "commit author", + "committer", + "both commit author and committer" + ], + "intended_interpretation_idx": 0 + } + ], + "gold_intended_query_id": "GQRY-A.0", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0` ----- +/* +{ + "id": "GQRY-A.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] contributors": "commit author" + } + } +} +*/ +SELECT DISTINCT json_extract(author, '$.email') AS email +FROM GITHUB_REPOS_SAMPLE_COMMITS +WHERE json_extract(author, '$.email') IS NOT NULL; +/* EXEC RESULT + email +4a57785b02e7b752fc2eb7d1c97db94302a41bf7@users.noreply.github.com +551dfda1d9ec62c1ce227238888dd7cabf45ee7e@users.noreply.github.com +9bfb05020696f9b47cb096a1f9369f4170cf02d3@users.noreply.github.com +a869d7994dad3655d9d21972841cacd352eaa0c4@users.noreply.github.com +ae1c7a81971cd87243eb6e815ca4a320961564e9@users.noreply.github.com +... TRUNCATED ... + d3629432f14a71b62e796d32d075121c69cf67de@compnerd.org + 5872f14f46e7466d5ab5d6b2c7e9a1bcf98a4ba6@plausible.coop + 17b9e1c64588c7fa6419b4d29dc1f4426279ba01@buckleyisms.com + c824fe0afe16857dd6f587aa7c4044d2642d60fb@housedillon.com + ae4541a3153c53f3296cb023f34b9e95c65f5ada@emanuelzephir.com +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1` ----- +/* +{ + "id": "GQRY-A.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] contributors": "committer" + } + } +} +*/ +SELECT DISTINCT json_extract(committer, '$.email') AS email +FROM GITHUB_REPOS_SAMPLE_COMMITS +WHERE json_extract(committer, '$.email') IS NOT NULL; +/* EXEC RESULT + email +4a57785b02e7b752fc2eb7d1c97db94302a41bf7@users.noreply.github.com +551dfda1d9ec62c1ce227238888dd7cabf45ee7e@users.noreply.github.com +9bfb05020696f9b47cb096a1f9369f4170cf02d3@users.noreply.github.com +a869d7994dad3655d9d21972841cacd352eaa0c4@users.noreply.github.com +ae1c7a81971cd87243eb6e815ca4a320961564e9@users.noreply.github.com +... TRUNCATED ... + d3629432f14a71b62e796d32d075121c69cf67de@compnerd.org + 5872f14f46e7466d5ab5d6b2c7e9a1bcf98a4ba6@plausible.coop + 17b9e1c64588c7fa6419b4d29dc1f4426279ba01@buckleyisms.com + c824fe0afe16857dd6f587aa7c4044d2642d60fb@housedillon.com + ae4541a3153c53f3296cb023f34b9e95c65f5ada@emanuelzephir.com +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.2` ----- +/* +{ + "id": "GQRY-A.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] contributors": "both commit author and committer" + } + } +} +*/ +SELECT DISTINCT json_extract(author, '$.email') AS email +FROM GITHUB_REPOS_SAMPLE_COMMITS +WHERE json_extract(author, '$.email') IS NOT NULL +UNION +SELECT DISTINCT json_extract(committer, '$.email') AS email +FROM GITHUB_REPOS_SAMPLE_COMMITS +WHERE json_extract(committer, '$.email') IS NOT NULL; +/* EXEC RESULT + email + 06389b6a69d4d01eabfd75eaf6a9ef519c0bfd34@tut.by +08921094c058e0801e0223f91ca2378e2e948c35@gmail.com +0a7665f9be53a0d2c4c44b88295ff7269ec3b41f@in.tum.de +0f7bfe7280b6f68198076392f1a10d39d96f1ecf@apple.com +1193686b5b66fe88aa2db399273fc58770c21022@gmail.com +... TRUNCATED ... +f1682ebb83d0ce00b2767a78fc8ea26a8af24e40@apple.com +f715bb83499a354a7768d309dde2adb299a9f442@apple.com +f861e98f10aee98dc7dce70e80887ecdfdeb65b1@apple.com +fb557bf086ed2b11438cabe542327e0fb845e545@apple.com + ffb4761cba839470133bee36aeb139f58d7dbaa9@sb.org +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/056/gold_csv/GQRY-A.0.csv b/tasks/readable/056/gold_csv/GQRY-A.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..41044f4f2ab282dd52c32c29b0f1b621e449368b --- /dev/null +++ b/tasks/readable/056/gold_csv/GQRY-A.0.csv @@ -0,0 +1,2 @@ +COUNT(*) +455197 diff --git a/tasks/readable/056/gold_csv/GQRY-A.1.csv b/tasks/readable/056/gold_csv/GQRY-A.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..585971bc3e481ac9f2718b0cdecb7c85e2aef3d5 --- /dev/null +++ b/tasks/readable/056/gold_csv/GQRY-A.1.csv @@ -0,0 +1,2 @@ +COUNT(*) +1 diff --git a/tasks/readable/056/task_readable.sql b/tasks/readable/056/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..548779a9543ffd5640a6f42b0cbb979e209d4972 --- /dev/null +++ b/tasks/readable/056/task_readable.sql @@ -0,0 +1,91 @@ +/* +{ + "qid": "056", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "github_repos", + "question": "Count the number of 2022 public events whose actor is also the actor of more than 5 events in 2022.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "public events", + "type": "finite", + "ambiguity_type": "semantic_computation", + "interpretations": [ + "events with attribute public=1", + "events of type 'PublicEvent'" + ], + "intended_interpretation_idx": 0 + } + ], + "gold_intended_query_id": "GQRY-A.0", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0` ----- +/* +{ + "id": "GQRY-A.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] public events": "events with attribute public=1" + } + } +} +*/ +WITH actor_event_counts AS ( +SELECT json_extract(y.actor, '$.id') actor_id, COUNT(*) AS event_count +FROM YEAR_2022 y +GROUP BY json_extract(y.actor, '$.id') +HAVING event_count > 5 +) +SELECT COUNT(*) +FROM YEAR_2022 y2 +WHERE y2.public = 1 +AND json_extract(y2.actor, '$.id') IN (SELECT actor_id FROM actor_event_counts); +/* EXEC RESULT + COUNT(*) + 455197 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1` ----- +/* +{ + "id": "GQRY-A.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] public events": "events of type 'PublicEvent'" + } + } +} +*/ +WITH actor_event_counts AS ( +SELECT json_extract(y.actor, '$.id') actor_id, COUNT(*) AS event_count +FROM YEAR_2022 y +GROUP BY json_extract(y.actor, '$.id') +HAVING event_count > 5 +) +SELECT COUNT(*) +FROM YEAR_2022 y2 +WHERE y2.type = 'PublicEvent' +AND json_extract(y2.actor, '$.id') IN (SELECT actor_id FROM actor_event_counts); +/* EXEC RESULT + COUNT(*) + 1 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/057/gold_csv/GQRY-A.0.csv b/tasks/readable/057/gold_csv/GQRY-A.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..7045a0515e85f77fd683b2f5b08e6503b5679ba3 --- /dev/null +++ b/tasks/readable/057/gold_csv/GQRY-A.0.csv @@ -0,0 +1,2 @@ +total_actors +67 diff --git a/tasks/readable/057/gold_csv/GQRY-A.1.csv b/tasks/readable/057/gold_csv/GQRY-A.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..64f7b21a8721fd79be2a74a9812e623bb1bef549 --- /dev/null +++ b/tasks/readable/057/gold_csv/GQRY-A.1.csv @@ -0,0 +1,2 @@ +total_actors +0 diff --git a/tasks/readable/057/task_readable.sql b/tasks/readable/057/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..0076e2da380dc386cc6108abde73f56d768069e4 --- /dev/null +++ b/tasks/readable/057/task_readable.sql @@ -0,0 +1,122 @@ +/* +{ + "qid": "057", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "github_repos", + "question": "Count the total number of actor IDs who pushed commits or created pull requests and created Wiki pages on Febuary 20, 2022.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "pushed commits or created pull requests and created Wiki pages", + "type": "finite", + "ambiguity_type": "syntactic_computation", + "interpretations": [ + "(pushed commits) OR (created pull requests AND created Wiki pages)", + "(pushed commits OR created pull requests) AND (created Wiki pages)" + ], + "intended_interpretation_idx": 0 + } + ], + "gold_intended_query_id": "GQRY-A.0", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0` ----- +/* +{ + "id": "GQRY-A.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] pushed commits or created pull requests and created Wiki pages": "(pushed commits) OR (created pull requests AND created Wiki pages)" + } + } +} +*/ +WITH pushed_commits_actors AS ( +SELECT DISTINCT json_extract(m.actor, '$.id') AS actor_id +FROM DAY_20220220 m +WHERE m.type = 'PushEvent' +), +created_pull_requests_actors AS ( +SELECT DISTINCT json_extract(m.actor, '$.id') AS actor_id +FROM DAY_20220220 m +WHERE m.type = 'PullRequestEvent' +AND json_extract(m.payload, '$.action') = 'opened' +), +created_wiki_pages_actors AS ( +SELECT DISTINCT json_extract(m.actor, '$.id') AS actor_id +FROM DAY_20220220 m, +json_each(json_extract(m.payload, '$.pages')) AS page +WHERE m.type = 'GollumEvent' +AND json_extract(page.value, '$.action') = 'created' +) +SELECT COUNT(DISTINCT actor_id) AS total_actors +FROM ( +SELECT pca.actor_id FROM pushed_commits_actors pca +UNION +SELECT cpra.actor_id +FROM created_pull_requests_actors cpra +INNER JOIN created_wiki_pages_actors cwpa ON cpra.actor_id = cwpa.actor_id +); +/* EXEC RESULT + total_actors + 67 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1` ----- +/* +{ + "id": "GQRY-A.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] pushed commits or created pull requests and created Wiki pages": "(pushed commits OR created pull requests) AND (created Wiki pages)" + } + } +} +*/ +WITH pushed_commits_actors AS ( +SELECT DISTINCT json_extract(m.actor, '$.id') AS actor_id +FROM DAY_20220220 m +WHERE m.type = 'PushEvent' +), +created_pull_requests_actors AS ( +SELECT DISTINCT json_extract(m.actor, '$.id') AS actor_id +FROM DAY_20220220 m +WHERE m.type = 'PullRequestEvent' +AND json_extract(m.payload, '$.action') = 'opened' +), +created_wiki_pages_actors AS ( +SELECT DISTINCT json_extract(m.actor, '$.id') AS actor_id +FROM DAY_20220220 m, +json_each(json_extract(m.payload, '$.pages')) AS page +WHERE m.type = 'GollumEvent' +AND json_extract(page.value, '$.action') = 'created' +) +SELECT COUNT(DISTINCT commits_or_prs.actor_id) AS total_actors +FROM ( +SELECT pca.actor_id FROM pushed_commits_actors pca +UNION +SELECT cpra.actor_id FROM created_pull_requests_actors cpra +) AS commits_or_prs +INNER JOIN created_wiki_pages_actors cwpa ON commits_or_prs.actor_id = cwpa.actor_id; +/* EXEC RESULT + total_actors + 0 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/058/gold_csv/GQRY-A.0-B.0.csv b/tasks/readable/058/gold_csv/GQRY-A.0-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..190e159ba35a86e407064ce9c15ca40488377220 --- /dev/null +++ b/tasks/readable/058/gold_csv/GQRY-A.0-B.0.csv @@ -0,0 +1,2 @@ +COUNT(*) +48584 diff --git a/tasks/readable/058/gold_csv/GQRY-A.0-B.1.csv b/tasks/readable/058/gold_csv/GQRY-A.0-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..c6332c1d9c05ba57af966b129328c01bfabd4b3a --- /dev/null +++ b/tasks/readable/058/gold_csv/GQRY-A.0-B.1.csv @@ -0,0 +1,2 @@ +COUNT(*) +69448 diff --git a/tasks/readable/058/gold_csv/GQRY-A.0-B.2.csv b/tasks/readable/058/gold_csv/GQRY-A.0-B.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..3d696ef3263e08a5f0bc5acd0d07a6d7ea02b9ca --- /dev/null +++ b/tasks/readable/058/gold_csv/GQRY-A.0-B.2.csv @@ -0,0 +1,2 @@ +COUNT(*) +128569 diff --git a/tasks/readable/058/gold_csv/GQRY-A.1-B.0.csv b/tasks/readable/058/gold_csv/GQRY-A.1-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..4c34fd1dcb4801a117b37455d344095152a0facf --- /dev/null +++ b/tasks/readable/058/gold_csv/GQRY-A.1-B.0.csv @@ -0,0 +1,2 @@ +SUM(amount) +791972126 diff --git a/tasks/readable/058/gold_csv/GQRY-A.1-B.1.csv b/tasks/readable/058/gold_csv/GQRY-A.1-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..2cf6aa9a481909d56a57113824a677479f0f47cc --- /dev/null +++ b/tasks/readable/058/gold_csv/GQRY-A.1-B.1.csv @@ -0,0 +1,2 @@ +SUM(amount) +1046437448 diff --git a/tasks/readable/058/gold_csv/GQRY-A.1-B.2.csv b/tasks/readable/058/gold_csv/GQRY-A.1-B.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..1b9f1e4b5a83869e3a6146f8ebc2984c2fa14aef --- /dev/null +++ b/tasks/readable/058/gold_csv/GQRY-A.1-B.2.csv @@ -0,0 +1,2 @@ +SUM(amount) +1055870868 diff --git a/tasks/readable/058/task_readable.sql b/tasks/readable/058/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..b5fa313dd877bc671f2956d577b15dabc0c14022 --- /dev/null +++ b/tasks/readable/058/task_readable.sql @@ -0,0 +1,205 @@ +/* +{ + "qid": "058", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "financial", + "question": "Compute the amount of deposits from December 1997 to end of 1998.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "amount", + "type": "finite", + "ambiguity_type": "semantic_computation", + "interpretations": [ + "the number of deposit transactions", + "the total monetary value of deposits" + ], + "intended_interpretation_idx": 0 + }, + { + "id": "B", + "phrase": "deposits", + "type": "finite", + "ambiguity_type": "semantic_computation", + "interpretations": [ + "cash deposits only", + "income from cash deposits and account transfers", + "all income transactions" + ], + "intended_interpretation_idx": 0 + } + ], + "gold_intended_query_id": "GQRY-A.0-B.0", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0-B.0` ----- +/* +{ + "id": "GQRY-A.0-B.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] amount": "the number of deposit transactions", + "[B] deposits": "cash deposits only" + } + } +} +*/ +SELECT COUNT(*) +FROM trans +WHERE operation = 'VKLAD' +AND (date >= '1997-12-01' AND date < '1999-01-01'); +/* EXEC RESULT + COUNT(*) + 48584 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.1` ----- +/* +{ + "id": "GQRY-A.0-B.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] amount": "the number of deposit transactions", + "[B] deposits": "income from cash deposits and account transfers" + } + } +} +*/ +SELECT COUNT(*) +FROM trans +WHERE operation IN ('VKLAD', 'PREVOD Z UCTU') +AND (date >= '1997-12-01' AND date < '1999-01-01'); +/* EXEC RESULT + COUNT(*) + 69448 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.2` ----- +/* +{ + "id": "GQRY-A.0-B.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] amount": "the number of deposit transactions", + "[B] deposits": "all income transactions" + } + } +} +*/ +SELECT COUNT(*) +FROM trans +WHERE type = 'PRIJEM' +AND (date >= '1997-12-01' AND date < '1999-01-01'); +/* EXEC RESULT + COUNT(*) + 128569 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.0` ----- +/* +{ + "id": "GQRY-A.1-B.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] amount": "the total monetary value of deposits", + "[B] deposits": "cash deposits only" + } + } +} +*/ +SELECT SUM(amount) +FROM trans +WHERE operation = 'VKLAD' +AND (date >= '1997-12-01' AND date < '1999-01-01'); +/* EXEC RESULT + SUM(amount) + 791972126 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.1` ----- +/* +{ + "id": "GQRY-A.1-B.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] amount": "the total monetary value of deposits", + "[B] deposits": "income from cash deposits and account transfers" + } + } +} +*/ +SELECT SUM(amount) +FROM trans +WHERE operation IN ('VKLAD', 'PREVOD Z UCTU') +AND (date >= '1997-12-01' AND date < '1999-01-01'); +/* EXEC RESULT + SUM(amount) + 1046437448 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.2` ----- +/* +{ + "id": "GQRY-A.1-B.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] amount": "the total monetary value of deposits", + "[B] deposits": "all income transactions" + } + } +} +*/ +SELECT SUM(amount) +FROM trans +WHERE type = 'PRIJEM' +AND (date >= '1997-12-01' AND date < '1999-01-01'); +/* EXEC RESULT + SUM(amount) + 1055870868 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/059/gold_csv/GQRY-A.0.csv b/tasks/readable/059/gold_csv/GQRY-A.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..bf52c2f2cb93a7a19699d5d2f7dda54bed07d5b2 --- /dev/null +++ b/tasks/readable/059/gold_csv/GQRY-A.0.csv @@ -0,0 +1,55 @@ +client_id +42 +114 +335 +483 +490 +531 +593 +605 +826 +834 +1040 +1059 +1329 +1583 +1762 +1799 +1883 +1900 +1930 +2121 +2133 +2481 +2490 +2984 +3130 +3167 +3192 +3197 +3236 +3395 +3405 +3567 +3824 +3890 +3896 +4100 +4190 +4340 +4360 +4457 +4516 +4555 +4663 +4765 +4833 +4901 +4974 +5002 +5117 +5126 +5200 +5223 +5243 +9276 diff --git a/tasks/readable/059/gold_csv/GQRY-A.1.csv b/tasks/readable/059/gold_csv/GQRY-A.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..4fa67de2e952b47e1bd112a4df16073c18bb274a --- /dev/null +++ b/tasks/readable/059/gold_csv/GQRY-A.1.csv @@ -0,0 +1,6 @@ +client_id +834 +1329 +1930 +2133 +3896 diff --git a/tasks/readable/059/task_readable.sql b/tasks/readable/059/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..d5dbd55cf5ad57cb8f6ef4fda8c74bf187ebc5c2 --- /dev/null +++ b/tasks/readable/059/task_readable.sql @@ -0,0 +1,115 @@ +/* +{ + "qid": "059", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "financial", + "question": "Which clients have a card issued before 1999 and have made at least two orders for household or leasing payments?", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "at least two orders for household or leasing payments", + "type": "finite", + "ambiguity_type": "semantic_computation", + "interpretations": [ + "at least two orders in total for either household or leasing payments", + "at least two orders for household payments or at least two orders for leasing payments" + ], + "intended_interpretation_idx": 0 + } + ], + "gold_intended_query_id": "GQRY-A.0", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0` ----- +/* +{ + "id": "GQRY-A.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] at least two orders for household or leasing payments": "at least two orders in total for either household or leasing payments" + } + } +} +*/ +WITH clients_with_orders AS ( +SELECT d2.client_id +FROM "order" o +JOIN disp d2 ON o.account_id = d2.account_id +WHERE o.k_symbol IN ('SIPO', 'LEASING') +GROUP BY d2.client_id +HAVING COUNT(DISTINCT o.order_id) >= 2 +) +SELECT cwo.client_id +FROM clients_with_orders cwo +JOIN disp d ON cwo.client_id = d.client_id +JOIN card ca ON d.disp_id = ca.disp_id +WHERE ca.issued < '1999-01-01' +GROUP BY cwo.client_id +ORDER BY cwo.client_id; +/* EXEC RESULT + client_id + 42 + 114 + 335 + 483 + 490 +... TRUNCATED ... + 5126 + 5200 + 5223 + 5243 + 9276 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1` ----- +/* +{ + "id": "GQRY-A.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] at least two orders for household or leasing payments": "at least two orders for household payments or at least two orders for leasing payments" + } + } +} +*/ +WITH clients_with_orders AS ( +SELECT d2.client_id +FROM "order" o +JOIN disp d2 ON o.account_id = d2.account_id +WHERE o.k_symbol IN ('SIPO', 'LEASING') +GROUP BY d2.client_id, o.k_symbol +HAVING COUNT(DISTINCT o.order_id) >= 2 +) +SELECT cwo.client_id +FROM clients_with_orders cwo +JOIN disp d ON cwo.client_id = d.client_id +JOIN card ca ON d.disp_id = ca.disp_id +WHERE ca.issued < '1999-01-01' +GROUP BY cwo.client_id +ORDER BY cwo.client_id; +/* EXEC RESULT + client_id + 834 + 1329 + 1930 + 2133 + 3896 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/060/gold_csv/GQRY-A.0-E.0.csv b/tasks/readable/060/gold_csv/GQRY-A.0-E.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..af096e494d0c45b2577afee98f81f707700e0349 --- /dev/null +++ b/tasks/readable/060/gold_csv/GQRY-A.0-E.0.csv @@ -0,0 +1,78 @@ +district,young_client_count +Benesov,4 +Beroun,7 +Blansko,5 +Breclav,2 +Brno - mesto,12 +Brno - venkov,5 +Bruntal,4 +Ceska Lipa,2 +Ceske Budejovice,3 +Cesky Krumlov,6 +Cheb,1 +Chomutov,1 +Chrudim,5 +Decin,1 +Domazlice,1 +Frydek - Mistek,8 +Havlickuv Brod,8 +Hl.m. Praha,53 +Hodonin,5 +Hradec Kralove,4 +Jablonec n. Nisou,2 +Jesenik,5 +Jicin,4 +Jihlava,3 +Jindrichuv Hradec,5 +Karlovy Vary,3 +Karvina,15 +Kladno,3 +Klatovy,1 +Kolin,8 +Kromeriz,5 +Kutna Hora,4 +Liberec,6 +Litomerice,7 +Louny,10 +Melnik,4 +Mlada Boleslav,3 +Most,4 +Nachod,5 +Novy Jicin,1 +Nymburk,4 +Olomouc,12 +Opava,2 +Ostrava - mesto,9 +Pardubice,5 +Pelhrimov,2 +Pisek,2 +Plzen - jih,4 +Plzen - mesto,5 +Plzen - sever,4 +Prachatice,1 +Praha - vychod,2 +Praha - zapad,7 +Prerov,0 +Pribram,2 +Prostejov,9 +Rakovnik,6 +Rokycany,5 +Rychnov nad Kneznou,4 +Semily,4 +Sokolov,0 +Strakonice,2 +Sumperk,2 +Svitavy,7 +Tabor,1 +Tachov,9 +Teplice,1 +Trebic,2 +Trutnov,3 +Uherske Hradiste,10 +Usti nad Labem,1 +Usti nad Orlici,4 +Vsetin,6 +Vyskov,2 +Zdar nad Sazavou,2 +Zlin,12 +Znojmo,3 diff --git a/tasks/readable/060/gold_csv/GQRY-A.0-E.1.csv b/tasks/readable/060/gold_csv/GQRY-A.0-E.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..bf27b77c69c5cfaa36755dcf18574a40f523fbbe --- /dev/null +++ b/tasks/readable/060/gold_csv/GQRY-A.0-E.1.csv @@ -0,0 +1,9 @@ +region,young_client_count +Prague,53 +central Bohemia,54 +east Bohemia,53 +north Bohemia,35 +north Moravia,64 +south Bohemia,22 +south Moravia,77 +west Bohemia,33 diff --git a/tasks/readable/060/gold_csv/GQRY-A.1-E.0.csv b/tasks/readable/060/gold_csv/GQRY-A.1-E.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..02f7e39485f38eafe65e8830bcb0b93772bbe8a4 --- /dev/null +++ b/tasks/readable/060/gold_csv/GQRY-A.1-E.0.csv @@ -0,0 +1,78 @@ +district,young_client_count +Benesov,0 +Beroun,0 +Blansko,0 +Breclav,0 +Brno - mesto,0 +Brno - venkov,0 +Bruntal,0 +Ceska Lipa,0 +Ceske Budejovice,0 +Cesky Krumlov,0 +Cheb,0 +Chomutov,0 +Chrudim,0 +Decin,0 +Domazlice,0 +Frydek - Mistek,0 +Havlickuv Brod,0 +Hl.m. Praha,2 +Hodonin,0 +Hradec Kralove,0 +Jablonec n. Nisou,0 +Jesenik,0 +Jicin,0 +Jihlava,0 +Jindrichuv Hradec,0 +Karlovy Vary,0 +Karvina,0 +Kladno,0 +Klatovy,0 +Kolin,0 +Kromeriz,0 +Kutna Hora,0 +Liberec,0 +Litomerice,0 +Louny,0 +Melnik,0 +Mlada Boleslav,1 +Most,0 +Nachod,0 +Novy Jicin,0 +Nymburk,0 +Olomouc,0 +Opava,0 +Ostrava - mesto,0 +Pardubice,0 +Pelhrimov,0 +Pisek,0 +Plzen - jih,0 +Plzen - mesto,0 +Plzen - sever,0 +Prachatice,0 +Praha - vychod,0 +Praha - zapad,0 +Prerov,0 +Pribram,0 +Prostejov,0 +Rakovnik,0 +Rokycany,0 +Rychnov nad Kneznou,0 +Semily,0 +Sokolov,0 +Strakonice,0 +Sumperk,0 +Svitavy,0 +Tabor,0 +Tachov,0 +Teplice,0 +Trebic,0 +Trutnov,0 +Uherske Hradiste,0 +Usti nad Labem,0 +Usti nad Orlici,0 +Vsetin,0 +Vyskov,0 +Zdar nad Sazavou,0 +Zlin,0 +Znojmo,0 diff --git a/tasks/readable/060/gold_csv/GQRY-A.1-E.1.csv b/tasks/readable/060/gold_csv/GQRY-A.1-E.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..2aed3065e203657393373bcc013db317820b1479 --- /dev/null +++ b/tasks/readable/060/gold_csv/GQRY-A.1-E.1.csv @@ -0,0 +1,9 @@ +region,young_client_count +Prague,2 +central Bohemia,1 +east Bohemia,0 +north Bohemia,0 +north Moravia,0 +south Bohemia,0 +south Moravia,0 +west Bohemia,0 diff --git a/tasks/readable/060/gold_csv/GQRY-A.2-E.0.csv b/tasks/readable/060/gold_csv/GQRY-A.2-E.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..5b5c0bb889694c424ed1bcac9ff6f3a1a5f110ca --- /dev/null +++ b/tasks/readable/060/gold_csv/GQRY-A.2-E.0.csv @@ -0,0 +1,78 @@ +district,count_of_young_clients_with_significant_loans,count_of_young_clients_with_large_transactions +Benesov,4,0 +Beroun,7,0 +Blansko,4,1 +Breclav,1,1 +Brno - mesto,12,0 +Brno - venkov,5,0 +Bruntal,4,0 +Ceska Lipa,2,0 +Ceske Budejovice,3,0 +Cesky Krumlov,6,0 +Cheb,1,0 +Chomutov,1,0 +Chrudim,4,1 +Decin,1,0 +Domazlice,1,0 +Frydek - Mistek,8,0 +Havlickuv Brod,8,0 +Hl.m. Praha,52,3 +Hodonin,4,1 +Hradec Kralove,4,0 +Jablonec n. Nisou,2,0 +Jesenik,5,0 +Jicin,4,0 +Jihlava,3,0 +Jindrichuv Hradec,5,0 +Karlovy Vary,3,0 +Karvina,13,2 +Kladno,2,1 +Klatovy,1,0 +Kolin,8,0 +Kromeriz,5,0 +Kutna Hora,4,0 +Liberec,5,1 +Litomerice,7,0 +Louny,10,0 +Melnik,4,0 +Mlada Boleslav,3,1 +Most,4,0 +Nachod,5,0 +Novy Jicin,1,0 +Nymburk,4,0 +Olomouc,12,0 +Opava,2,0 +Ostrava - mesto,9,0 +Pardubice,4,1 +Pelhrimov,2,0 +Pisek,2,0 +Plzen - jih,4,0 +Plzen - mesto,5,0 +Plzen - sever,4,0 +Prachatice,1,0 +Praha - vychod,2,0 +Praha - zapad,7,0 +Prerov,0,0 +Pribram,2,0 +Prostejov,9,0 +Rakovnik,6,0 +Rokycany,5,0 +Rychnov nad Kneznou,4,0 +Semily,4,0 +Sokolov,0,0 +Strakonice,2,0 +Sumperk,2,0 +Svitavy,7,0 +Tabor,1,0 +Tachov,9,0 +Teplice,1,0 +Trebic,2,0 +Trutnov,3,0 +Uherske Hradiste,10,0 +Usti nad Labem,1,0 +Usti nad Orlici,4,0 +Vsetin,6,0 +Vyskov,2,0 +Zdar nad Sazavou,2,0 +Zlin,12,0 +Znojmo,3,0 diff --git a/tasks/readable/060/gold_csv/GQRY-A.2-E.1.csv b/tasks/readable/060/gold_csv/GQRY-A.2-E.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..b7507af3b68cc377b59e9abbc72b5a20e1da6efc --- /dev/null +++ b/tasks/readable/060/gold_csv/GQRY-A.2-E.1.csv @@ -0,0 +1,9 @@ +region,count_of_young_clients_with_significant_loans,count_of_young_clients_with_large_transactions +Prague,52,3 +central Bohemia,53,2 +east Bohemia,51,2 +north Bohemia,34,1 +north Moravia,62,2 +south Bohemia,22,0 +south Moravia,74,3 +west Bohemia,33,0 diff --git a/tasks/readable/060/task_readable.sql b/tasks/readable/060/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..cd3dbae6df485482446c0ba11847cd5f499d801f --- /dev/null +++ b/tasks/readable/060/task_readable.sql @@ -0,0 +1,499 @@ +/* +{ + "qid": "060", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "financial", + "question": "Count the number of young clients with significant loans and large transactions for each area.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "Count the number of young clients with significant loans and large transactions", + "type": "finite", + "ambiguity_type": "semantic_computation", + "interpretations": [ + "count clients with either significant loans or large transactions ('and' means UNION)", + "count clients with both significant loans and large transactions ('and' means logical AND)", + "(count clients with significant loans) and (count clients with large transactions) (two separate counts)" + ], + "intended_interpretation_idx": 2 + }, + { + "id": "B", + "phrase": "young clients", + "type": "infinite", + "ambiguity_type": "semantic_value", + "parameter_name": "birth_date_threshold", + "parameter_dtype": "str", + "parameter_sample_operators": [ + ">", + ">=" + ], + "parameter_sample_values": [ + "1960-01-01" + ], + "intended_parameter_operator": ">=", + "intended_parameter_value": "1960-01-01" + }, + { + "id": "C", + "phrase": "significant loans", + "type": "infinite", + "ambiguity_type": "semantic_value", + "parameter_name": "loan_amount_threshold", + "parameter_dtype": "int", + "parameter_sample_operators": [ + ">", + ">=" + ], + "parameter_sample_values": [ + 12000 + ], + "intended_parameter_operator": ">", + "intended_parameter_value": 12000 + }, + { + "id": "D", + "phrase": "large transactions", + "type": "infinite", + "ambiguity_type": "semantic_value", + "parameter_name": "transaction_amount_threshold", + "parameter_dtype": "int", + "parameter_sample_operators": [ + ">", + ">=" + ], + "parameter_sample_values": [ + 75000 + ], + "intended_parameter_operator": ">", + "intended_parameter_value": 75000 + }, + { + "id": "E", + "phrase": "area", + "type": "finite", + "ambiguity_type": "semantic_column", + "interpretations": [ + "district", + "region" + ], + "intended_interpretation_idx": 1 + } + ], + "gold_intended_query_id": "GQRY-A.2-E.1", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0-E.0` ----- +/* +{ + "id": "GQRY-A.0-E.0", + "parameter_names": [ + "loan_amount_threshold", + "birth_date_threshold", + "transaction_amount_threshold", + "birth_date_threshold" + ], + "parameter_values": { + "loan_amount_threshold": 12000, + "birth_date_threshold": "1960-01-01", + "transaction_amount_threshold": 75000 + }, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Count the number of young clients with significant loans and large transactions": "count clients with either significant loans or large transactions ('and' means UNION)", + "[B] young clients": ":birth_date_threshold", + "[C] significant loans": ":loan_amount_threshold", + "[D] large transactions": ":transaction_amount_threshold", + "[E] area": "district" + } + } +} +*/ +WITH significant_loans AS ( +SELECT DISTINCT di.client_id +FROM client c +JOIN disp di ON c.client_id = di.client_id +JOIN loan l ON di.account_id = l.account_id +WHERE l.amount > :loan_amount_threshold +AND c.birth_date >= :birth_date_threshold +), +large_transactions AS ( +SELECT DISTINCT di.client_id +FROM client c +JOIN disp di ON c.client_id = di.client_id +JOIN trans t ON di.account_id = t.account_id +WHERE t.amount > :transaction_amount_threshold +AND c.birth_date >= :birth_date_threshold +) +SELECT d.A2 AS district, COUNT(DISTINCT c.client_id) AS young_client_count +FROM district d +LEFT JOIN client c ON c.district_id = d.district_id +AND (c.client_id IN (SELECT client_id FROM significant_loans) +OR c.client_id IN (SELECT client_id FROM large_transactions)) +GROUP BY d.A2 +ORDER BY d.A2; +/* EXEC RESULT + district young_client_count + Benesov 4 + Beroun 7 + Blansko 5 + Breclav 2 + Brno - mesto 12 +... TRUNCATED ... + Vsetin 6 + Vyskov 2 +Zdar nad Sazavou 2 + Zlin 12 + Znojmo 3 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-E.1` ----- +/* +{ + "id": "GQRY-A.0-E.1", + "parameter_names": [ + "loan_amount_threshold", + "birth_date_threshold", + "transaction_amount_threshold", + "birth_date_threshold" + ], + "parameter_values": { + "loan_amount_threshold": 12000, + "birth_date_threshold": "1960-01-01", + "transaction_amount_threshold": 75000 + }, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Count the number of young clients with significant loans and large transactions": "count clients with either significant loans or large transactions ('and' means UNION)", + "[B] young clients": ":birth_date_threshold", + "[C] significant loans": ":loan_amount_threshold", + "[D] large transactions": ":transaction_amount_threshold", + "[E] area": "region" + } + } +} +*/ +WITH significant_loans AS ( +SELECT DISTINCT di.client_id +FROM client c +JOIN disp di ON c.client_id = di.client_id +JOIN loan l ON di.account_id = l.account_id +WHERE l.amount > :loan_amount_threshold +AND c.birth_date >= :birth_date_threshold +), +large_transactions AS ( +SELECT DISTINCT di.client_id +FROM client c +JOIN disp di ON c.client_id = di.client_id +JOIN trans t ON di.account_id = t.account_id +WHERE t.amount > :transaction_amount_threshold +AND c.birth_date >= :birth_date_threshold +) +SELECT d.A3 AS region, COUNT(DISTINCT c.client_id) AS young_client_count +FROM district d +LEFT JOIN client c ON c.district_id = d.district_id +AND (c.client_id IN (SELECT client_id FROM significant_loans) +OR c.client_id IN (SELECT client_id FROM large_transactions)) +GROUP BY d.A3 +ORDER BY d.A3; +/* EXEC RESULT + region young_client_count + Prague 53 +central Bohemia 54 + east Bohemia 53 + north Bohemia 35 + north Moravia 64 + south Bohemia 22 + south Moravia 77 + west Bohemia 33 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-E.0` ----- +/* +{ + "id": "GQRY-A.1-E.0", + "parameter_names": [ + "loan_amount_threshold", + "birth_date_threshold", + "transaction_amount_threshold", + "birth_date_threshold" + ], + "parameter_values": { + "loan_amount_threshold": 12000, + "birth_date_threshold": "1960-01-01", + "transaction_amount_threshold": 75000 + }, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Count the number of young clients with significant loans and large transactions": "count clients with both significant loans and large transactions ('and' means logical AND)", + "[B] young clients": ":birth_date_threshold", + "[C] significant loans": ":loan_amount_threshold", + "[D] large transactions": ":transaction_amount_threshold", + "[E] area": "district" + } + } +} +*/ +WITH significant_loans AS ( +SELECT DISTINCT di.client_id +FROM client c +JOIN disp di ON c.client_id = di.client_id +JOIN loan l ON di.account_id = l.account_id +WHERE l.amount > :loan_amount_threshold +AND c.birth_date >= :birth_date_threshold +), +large_transactions AS ( +SELECT DISTINCT di.client_id +FROM client c +JOIN disp di ON c.client_id = di.client_id +JOIN trans t ON di.account_id = t.account_id +WHERE t.amount > :transaction_amount_threshold +AND c.birth_date >= :birth_date_threshold +) +SELECT d.A2 AS district, COUNT(DISTINCT c.client_id) AS young_client_count +FROM district d +LEFT JOIN client c ON c.district_id = d.district_id +AND c.client_id IN (SELECT client_id FROM significant_loans) +AND c.client_id IN (SELECT client_id FROM large_transactions) +GROUP BY d.A2 +ORDER BY d.A2; +/* EXEC RESULT + district young_client_count + Benesov 0 + Beroun 0 + Blansko 0 + Breclav 0 + Brno - mesto 0 +... TRUNCATED ... + Vsetin 0 + Vyskov 0 +Zdar nad Sazavou 0 + Zlin 0 + Znojmo 0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-E.1` ----- +/* +{ + "id": "GQRY-A.1-E.1", + "parameter_names": [ + "loan_amount_threshold", + "birth_date_threshold", + "transaction_amount_threshold", + "birth_date_threshold" + ], + "parameter_values": { + "loan_amount_threshold": 12000, + "birth_date_threshold": "1960-01-01", + "transaction_amount_threshold": 75000 + }, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Count the number of young clients with significant loans and large transactions": "count clients with both significant loans and large transactions ('and' means logical AND)", + "[B] young clients": ":birth_date_threshold", + "[C] significant loans": ":loan_amount_threshold", + "[D] large transactions": ":transaction_amount_threshold", + "[E] area": "region" + } + } +} +*/ +WITH significant_loans AS ( +SELECT DISTINCT di.client_id +FROM client c +JOIN disp di ON c.client_id = di.client_id +JOIN loan l ON di.account_id = l.account_id +WHERE l.amount > :loan_amount_threshold +AND c.birth_date >= :birth_date_threshold +), +large_transactions AS ( +SELECT DISTINCT di.client_id +FROM client c +JOIN disp di ON c.client_id = di.client_id +JOIN trans t ON di.account_id = t.account_id +WHERE t.amount > :transaction_amount_threshold +AND c.birth_date >= :birth_date_threshold +) +SELECT d.A3 AS region, COUNT(DISTINCT c.client_id) AS young_client_count +FROM district d +LEFT JOIN client c ON c.district_id = d.district_id +AND c.client_id IN (SELECT client_id FROM significant_loans) +AND c.client_id IN (SELECT client_id FROM large_transactions) +GROUP BY d.A3 +ORDER BY d.A3; +/* EXEC RESULT + region young_client_count + Prague 2 +central Bohemia 1 + east Bohemia 0 + north Bohemia 0 + north Moravia 0 + south Bohemia 0 + south Moravia 0 + west Bohemia 0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.2-E.0` ----- +/* +{ + "id": "GQRY-A.2-E.0", + "parameter_names": [ + "loan_amount_threshold", + "birth_date_threshold", + "transaction_amount_threshold", + "birth_date_threshold" + ], + "parameter_values": { + "loan_amount_threshold": 12000, + "birth_date_threshold": "1960-01-01", + "transaction_amount_threshold": 75000 + }, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Count the number of young clients with significant loans and large transactions": "(count clients with significant loans) and (count clients with large transactions) (two separate counts)", + "[B] young clients": ":birth_date_threshold", + "[C] significant loans": ":loan_amount_threshold", + "[D] large transactions": ":transaction_amount_threshold", + "[E] area": "district" + } + } +} +*/ +WITH significant_loans AS ( +SELECT DISTINCT di.client_id +FROM client c +JOIN disp di ON c.client_id = di.client_id +JOIN loan l ON di.account_id = l.account_id +WHERE l.amount > :loan_amount_threshold +AND c.birth_date >= :birth_date_threshold +), +large_transactions AS ( +SELECT DISTINCT di.client_id +FROM client c +JOIN disp di ON c.client_id = di.client_id +JOIN trans t ON di.account_id = t.account_id +WHERE t.amount > :transaction_amount_threshold +AND c.birth_date >= :birth_date_threshold +) +SELECT +d.A2 AS district, +COUNT(DISTINCT significant_loans.client_id) AS count_of_young_clients_with_significant_loans, +COUNT(DISTINCT large_transactions.client_id) AS count_of_young_clients_with_large_transactions +FROM district d +LEFT JOIN client c ON c.district_id = d.district_id +LEFT JOIN significant_loans ON c.client_id = significant_loans.client_id +LEFT JOIN large_transactions ON c.client_id = large_transactions.client_id +GROUP BY d.A2 +ORDER BY d.A2; +/* EXEC RESULT + district count_of_young_clients_with_significant_loans count_of_young_clients_with_large_transactions + Benesov 4 0 + Beroun 7 0 + Blansko 4 1 + Breclav 1 1 + Brno - mesto 12 0 +... TRUNCATED ... + Vsetin 6 0 + Vyskov 2 0 +Zdar nad Sazavou 2 0 + Zlin 12 0 + Znojmo 3 0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.2-E.1` ----- +/* +{ + "id": "GQRY-A.2-E.1", + "parameter_names": [ + "loan_amount_threshold", + "birth_date_threshold", + "transaction_amount_threshold", + "birth_date_threshold" + ], + "parameter_values": { + "loan_amount_threshold": 12000, + "birth_date_threshold": "1960-01-01", + "transaction_amount_threshold": 75000 + }, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Count the number of young clients with significant loans and large transactions": "(count clients with significant loans) and (count clients with large transactions) (two separate counts)", + "[B] young clients": ":birth_date_threshold", + "[C] significant loans": ":loan_amount_threshold", + "[D] large transactions": ":transaction_amount_threshold", + "[E] area": "region" + } + } +} +*/ +WITH significant_loans AS ( +SELECT DISTINCT di.client_id +FROM client c +JOIN disp di ON c.client_id = di.client_id +JOIN loan l ON di.account_id = l.account_id +WHERE l.amount > :loan_amount_threshold +AND c.birth_date >= :birth_date_threshold +), +large_transactions AS ( +SELECT DISTINCT di.client_id +FROM client c +JOIN disp di ON c.client_id = di.client_id +JOIN trans t ON di.account_id = t.account_id +WHERE t.amount > :transaction_amount_threshold +AND c.birth_date >= :birth_date_threshold +) +SELECT +d.A3 AS region, +COUNT(DISTINCT significant_loans.client_id) AS count_of_young_clients_with_significant_loans, +COUNT(DISTINCT large_transactions.client_id) AS count_of_young_clients_with_large_transactions +FROM district d +LEFT JOIN client c ON c.district_id = d.district_id +LEFT JOIN significant_loans ON c.client_id = significant_loans.client_id +LEFT JOIN large_transactions ON c.client_id = large_transactions.client_id +GROUP BY d.A3 +ORDER BY d.A3; +/* EXEC RESULT + region count_of_young_clients_with_significant_loans count_of_young_clients_with_large_transactions + Prague 52 3 +central Bohemia 53 2 + east Bohemia 51 2 + north Bohemia 34 1 + north Moravia 62 2 + south Bohemia 22 0 + south Moravia 74 3 + west Bohemia 33 0 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/061/gold_csv/GQRY.csv b/tasks/readable/061/gold_csv/GQRY.csv new file mode 100644 index 0000000000000000000000000000000000000000..536ac2d5861db63021bb4947917c1b19439e8f86 --- /dev/null +++ b/tasks/readable/061/gold_csv/GQRY.csv @@ -0,0 +1,2 @@ +COUNT(DISTINCT t1.account_id) +3644 diff --git a/tasks/readable/061/task_readable.sql b/tasks/readable/061/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..ad45af0303ad58224633114a16f9eb40eedcb834 --- /dev/null +++ b/tasks/readable/061/task_readable.sql @@ -0,0 +1,85 @@ +/* +{ + "qid": "061", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "financial", + "question": "Compute the number of accounts with a substantial percentage balance increase within a short period.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "substantial percentage balance increase", + "type": "infinite", + "ambiguity_type": "semantic_value", + "parameter_name": "percentage_increase", + "parameter_dtype": "float", + "parameter_sample_operators": [ + ">", + ">=" + ], + "parameter_sample_values": [ + 0.5 + ], + "intended_parameter_operator": ">", + "intended_parameter_value": 0.5 + }, + { + "id": "B", + "phrase": "short period", + "type": "infinite", + "ambiguity_type": "semantic_value", + "parameter_name": "days_threshold", + "parameter_dtype": "int", + "parameter_sample_operators": [ + "<", + "<=" + ], + "parameter_sample_values": [ + 7 + ], + "intended_parameter_operator": "<=", + "intended_parameter_value": 7 + } + ], + "gold_intended_query_id": "GQRY", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY` ----- +/* +{ + "id": "GQRY", + "parameter_names": [ + "days_threshold", + "percentage_increase" + ], + "parameter_values": { + "days_threshold": 7, + "percentage_increase": 0.5 + }, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] substantial percentage balance increase": ":percentage_increase", + "[B] short period": ":days_threshold" + } + } +} +*/ +SELECT COUNT(DISTINCT t1.account_id) +FROM trans t1 +JOIN trans t2 +ON t1.account_id = t2.account_id +AND t2.date > t1.date +AND julianday(t2.date) - julianday(t1.date) <= :days_threshold +WHERE t2.balance > t1.balance * (1 + :percentage_increase); +/* EXEC RESULT + COUNT(DISTINCT t1.account_id) + 3644 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/062/gold_csv/GQRY-A.0.csv b/tasks/readable/062/gold_csv/GQRY-A.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..b84d8cec09a8f067146bf7ac24c19f100d565dba --- /dev/null +++ b/tasks/readable/062/gold_csv/GQRY-A.0.csv @@ -0,0 +1,14 @@ +bank,total_amount +AB,24060373 +CD,21531361 +EF,25407989 +GH,22551218 +IJ,23666071 +KL,25930329 +MN,19411013 +OP,20344477 +QR,24088618 +ST,25161551 +UV,23115663 +WX,23680385 +YZ,23428533 diff --git a/tasks/readable/062/gold_csv/GQRY-A.1.csv b/tasks/readable/062/gold_csv/GQRY-A.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..e0a303f306bb89f30d3d9d54c9af02610a56d001 --- /dev/null +++ b/tasks/readable/062/gold_csv/GQRY-A.1.csv @@ -0,0 +1,27 @@ +bank,k_symbol,total_amount +AB,POJISTNE,1582184 +AB,SIPO,22478189 +CD,POJISTNE,559968 +CD,SIPO,20971393 +EF,POJISTNE,1166899 +EF,SIPO,24241090 +GH,POJISTNE,1125943 +GH,SIPO,21425275 +IJ,POJISTNE,1087193 +IJ,SIPO,22578878 +KL,POJISTNE,1059002 +KL,SIPO,24871327 +MN,POJISTNE,1346897 +MN,SIPO,18064116 +OP,POJISTNE,777928 +OP,SIPO,19566549 +QR,POJISTNE,801612 +QR,SIPO,23287006 +ST,POJISTNE,531326 +ST,SIPO,24630225 +UV,POJISTNE,1430156 +UV,SIPO,21685507 +WX,POJISTNE,1340603 +WX,SIPO,22339782 +YZ,POJISTNE,1395730 +YZ,SIPO,22032803 diff --git a/tasks/readable/062/gold_csv/GQRY-A.2.csv b/tasks/readable/062/gold_csv/GQRY-A.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..5b6d96390609ab16fcc08b23efad2fd2435da358 --- /dev/null +++ b/tasks/readable/062/gold_csv/GQRY-A.2.csv @@ -0,0 +1,27 @@ +bank,year,total_amount +AB,1997,10643939 +AB,1998,13416434 +CD,1997,9775271 +CD,1998,11756090 +EF,1997,11523562 +EF,1998,13884427 +GH,1997,10253145 +GH,1998,12298073 +IJ,1997,10392723 +IJ,1998,13273348 +KL,1997,11872209 +KL,1998,14058120 +MN,1997,8612036 +MN,1998,10798977 +OP,1997,8993492 +OP,1998,11350985 +QR,1997,10958093 +QR,1998,13130525 +ST,1997,11528812 +ST,1998,13632739 +UV,1997,10311214 +UV,1998,12804449 +WX,1997,10557597 +WX,1998,13122788 +YZ,1997,10336750 +YZ,1998,13091783 diff --git a/tasks/readable/062/gold_csv/GQRY-A.3.csv b/tasks/readable/062/gold_csv/GQRY-A.3.csv new file mode 100644 index 0000000000000000000000000000000000000000..b7f6beb0f16574ba36f7a5cd952544ae6ebbaa91 --- /dev/null +++ b/tasks/readable/062/gold_csv/GQRY-A.3.csv @@ -0,0 +1,53 @@ +bank,k_symbol,year,total_amount +AB,POJISTNE,1997,679139 +AB,POJISTNE,1998,903045 +AB,SIPO,1997,9964800 +AB,SIPO,1998,12513389 +CD,POJISTNE,1997,270864 +CD,POJISTNE,1998,289104 +CD,SIPO,1997,9504407 +CD,SIPO,1998,11466986 +EF,POJISTNE,1997,533207 +EF,POJISTNE,1998,633692 +EF,SIPO,1997,10990355 +EF,SIPO,1998,13250735 +GH,POJISTNE,1997,475173 +GH,POJISTNE,1998,650770 +GH,SIPO,1997,9777972 +GH,SIPO,1998,11647303 +IJ,POJISTNE,1997,495020 +IJ,POJISTNE,1998,592173 +IJ,SIPO,1997,9897703 +IJ,SIPO,1998,12681175 +KL,POJISTNE,1997,468655 +KL,POJISTNE,1998,590347 +KL,SIPO,1997,11403554 +KL,SIPO,1998,13467773 +MN,POJISTNE,1997,634864 +MN,POJISTNE,1998,712033 +MN,SIPO,1997,7977172 +MN,SIPO,1998,10086944 +OP,POJISTNE,1997,354314 +OP,POJISTNE,1998,423614 +OP,SIPO,1997,8639178 +OP,SIPO,1998,10927371 +QR,POJISTNE,1997,353157 +QR,POJISTNE,1998,448455 +QR,SIPO,1997,10604936 +QR,SIPO,1998,12682070 +ST,POJISTNE,1997,235407 +ST,POJISTNE,1998,295919 +ST,SIPO,1997,11293405 +ST,SIPO,1998,13336820 +UV,POJISTNE,1997,595004 +UV,POJISTNE,1998,835152 +UV,SIPO,1997,9716210 +UV,SIPO,1998,11969297 +WX,POJISTNE,1997,681935 +WX,POJISTNE,1998,658668 +WX,SIPO,1997,9875662 +WX,SIPO,1998,12464120 +YZ,POJISTNE,1997,594464 +YZ,POJISTNE,1998,801266 +YZ,SIPO,1997,9742286 +YZ,SIPO,1998,12290517 diff --git a/tasks/readable/062/task_readable.sql b/tasks/readable/062/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..d16d0c5cbbeafdb4106256b897f9fe48ae28a7fc --- /dev/null +++ b/tasks/readable/062/task_readable.sql @@ -0,0 +1,191 @@ +/* +{ + "qid": "062", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "financial", + "question": "For each bank in the database, show the total sum of household or insurance payments in 1997 and 1998, grouped accordingly.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "grouped accordingly", + "type": "finite", + "ambiguity_type": "semantic_computation", + "interpretations": [ + "group by bank only", + "group by bank and payment type", + "group by bank and year", + "group by bank, payment type, year" + ], + "intended_interpretation_idx": 0 + } + ], + "gold_intended_query_id": "GQRY-A.0", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0` ----- +/* +{ + "id": "GQRY-A.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] grouped accordingly": "group by bank only" + } + } +} +*/ +SELECT bank, SUM(amount) AS total_amount +FROM trans +WHERE (k_symbol = 'SIPO' +OR k_symbol = 'POJISTNE') +AND (date BETWEEN '1997-01-01' AND '1997-12-31' +OR date BETWEEN '1998-01-01' AND '1998-12-31') +AND bank IS NOT NULL +GROUP BY bank; +/* EXEC RESULT +bank total_amount + AB 24060373 + CD 21531361 + EF 25407989 + GH 22551218 + IJ 23666071 +... TRUNCATED ... + QR 24088618 + ST 25161551 + UV 23115663 + WX 23680385 + YZ 23428533 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1` ----- +/* +{ + "id": "GQRY-A.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] grouped accordingly": "group by bank and payment type" + } + } +} +*/ +SELECT bank, k_symbol, SUM(amount) AS total_amount +FROM trans +WHERE (k_symbol = 'SIPO' +OR k_symbol = 'POJISTNE') +AND (date BETWEEN '1997-01-01' AND '1997-12-31' +OR date BETWEEN '1998-01-01' AND '1998-12-31') +AND bank IS NOT NULL +GROUP BY bank, k_symbol; +/* EXEC RESULT +bank k_symbol total_amount + AB POJISTNE 1582184 + AB SIPO 22478189 + CD POJISTNE 559968 + CD SIPO 20971393 + EF POJISTNE 1166899 +... TRUNCATED ... + UV SIPO 21685507 + WX POJISTNE 1340603 + WX SIPO 22339782 + YZ POJISTNE 1395730 + YZ SIPO 22032803 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.2` ----- +/* +{ + "id": "GQRY-A.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] grouped accordingly": "group by bank and year" + } + } +} +*/ +SELECT bank, strftime('%Y', date) AS year, SUM(amount) AS total_amount +FROM trans +WHERE (k_symbol = 'SIPO' +OR k_symbol = 'POJISTNE') +AND (date BETWEEN '1997-01-01' AND '1997-12-31' +OR date BETWEEN '1998-01-01' AND '1998-12-31') +AND bank IS NOT NULL +GROUP BY bank, year; +/* EXEC RESULT +bank year total_amount + AB 1997 10643939 + AB 1998 13416434 + CD 1997 9775271 + CD 1998 11756090 + EF 1997 11523562 +... TRUNCATED ... + UV 1998 12804449 + WX 1997 10557597 + WX 1998 13122788 + YZ 1997 10336750 + YZ 1998 13091783 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.3` ----- +/* +{ + "id": "GQRY-A.3", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] grouped accordingly": "group by bank, payment type, year" + } + } +} +*/ +SELECT bank, k_symbol, strftime('%Y', date) AS year, SUM(amount) AS total_amount +FROM trans +WHERE (k_symbol = 'SIPO' +OR k_symbol = 'POJISTNE') +AND (date BETWEEN '1997-01-01' AND '1997-12-31' +OR date BETWEEN '1998-01-01' AND '1998-12-31') +AND bank IS NOT NULL +GROUP BY bank, k_symbol, year; +/* EXEC RESULT +bank k_symbol year total_amount + AB POJISTNE 1997 679139 + AB POJISTNE 1998 903045 + AB SIPO 1997 9964800 + AB SIPO 1998 12513389 + CD POJISTNE 1997 270864 +... TRUNCATED ... + WX SIPO 1998 12464120 + YZ POJISTNE 1997 594464 + YZ POJISTNE 1998 801266 + YZ SIPO 1997 9742286 + YZ SIPO 1998 12290517 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/063/gold_csv/GQRY.csv b/tasks/readable/063/gold_csv/GQRY.csv new file mode 100644 index 0000000000000000000000000000000000000000..d574662127e1618ffaeaae6020110daebaba8f59 --- /dev/null +++ b/tasks/readable/063/gold_csv/GQRY.csv @@ -0,0 +1,138 @@ +client_id,amount,date +376,91248,1998-11-25 +389,369000,1997-07-11 +403,331584,1998-07-12 +944,73056,1995-11-23 +945,73056,1995-11-23 +1020,187104,1996-07-28 +1208,188532,1998-04-11 +1300,50976,1998-04-16 +1404,149040,1994-02-07 +1505,99696,1995-03-16 +1851,164052,1994-11-19 +2181,165960,1993-07-11 +2190,385584,1998-09-30 +2191,385584,1998-09-30 +2277,209040,1998-09-10 +2422,68400,1995-04-15 +2489,293880,1997-04-22 +2503,83628,1997-08-26 +2550,101520,1996-10-03 +2560,92400,1997-08-04 +2593,71460,1996-09-09 +2698,92976,1995-12-12 +2699,92976,1995-12-12 +2746,20196,1996-07-18 +2759,314688,1998-06-01 +2841,159744,1997-05-11 +2952,293160,1997-12-26 +3103,360000,1996-06-13 +3113,89340,1996-08-02 +3114,89340,1996-08-02 +3257,231168,1998-08-30 +3687,82896,1994-09-02 +3688,82896,1994-09-02 +3763,123216,1996-02-24 +3764,123216,1996-02-24 +3829,177744,1995-01-03 +4299,174960,1998-05-24 +4352,161496,1996-05-24 +4417,271584,1997-09-20 +4529,68544,1996-11-03 +4861,84288,1997-03-20 +4882,106128,1997-12-28 +4993,212976,1998-06-21 +4994,212976,1998-06-21 +5143,41988,1998-11-04 +5365,192744,1996-10-31 +5366,192744,1994-10-03 +5399,15192,1996-09-25 +5433,135360,1996-01-01 +5521,20220,1995-08-05 +5563,66696,1998-01-12 +5827,21396,1995-08-18 +5866,335184,1998-07-27 +5928,98832,1996-01-03 +6015,179328,1996-11-28 +6349,193968,1994-05-10 +6359,276300,1996-11-12 +6363,129312,1997-11-26 +6367,79608,1993-11-22 +6544,368880,1996-06-03 +6895,103680,1995-03-16 +6946,232560,1995-12-16 +7286,28248,1995-03-04 +7325,321360,1998-04-19 +7339,407952,1998-01-06 +7348,360864,1997-09-28 +7366,26208,1997-10-22 +7772,34572,1997-06-17 +7796,150912,1997-06-15 +7814,43164,1995-02-06 +7959,390660,1997-08-24 +7980,60156,1995-11-12 +8091,95400,1993-12-08 +8096,64860,1998-07-12 +8130,37908,1995-10-31 +8506,495180,1998-05-22 +9346,41952,1995-11-02 +9362,12792,1998-07-11 +9366,309600,1995-12-31 +9370,153504,1997-08-17 +9403,130464,1997-12-11 +9427,320592,1996-05-18 +9457,390096,1997-01-29 +9458,390096,1997-01-29 +9675,189696,1994-09-28 +9930,93600,1996-10-20 +10023,99300,1997-08-15 +10076,29784,1995-06-13 +10077,29784,1995-06-13 +10095,80340,1994-05-20 +10198,224604,1994-08-25 +10275,89040,1994-05-09 +10355,333648,1997-07-25 +10636,47304,1995-04-10 +10778,33144,1997-07-29 +10813,88272,1997-06-19 +10818,33984,1995-08-26 +10997,566640,1998-01-23 +11121,155616,1996-12-12 +11359,164256,1997-04-13 +11360,164256,1997-04-13 +11461,41904,1994-09-19 +11598,83628,1997-08-26 +11662,36396,1995-05-08 +11683,225504,1998-06-25 +11794,104712,1995-12-12 +11795,104712,1995-12-12 +11851,244368,1995-11-22 +11978,113796,1995-11-22 +12003,151728,1995-02-11 +12079,96168,1996-09-26 +12102,97632,1994-05-21 +12220,89340,1996-08-02 +12221,89340,1996-08-02 +12303,19044,1996-07-11 +12308,210744,1998-07-29 +12396,167100,1994-04-06 +12397,167100,1994-04-06 +12416,231696,1995-10-20 +12417,231696,1995-10-20 +12859,482940,1994-12-19 +13089,269964,1998-06-18 +13090,208332,1998-07-05 +13098,45720,1998-05-07 +13113,260028,1995-10-28 +13276,31140,1998-07-11 +13447,197748,1994-02-23 +13448,197748,1994-02-23 +13490,154416,1993-10-13 +13548,168984,1995-03-04 +13576,217152,1995-12-04 +13590,148920,1996-08-20 +13694,44940,1997-10-07 +13845,52788,1993-09-15 +13852,67320,1997-01-31 +13912,317460,1998-11-22 +13923,39168,1998-09-27 diff --git a/tasks/readable/063/task_readable.sql b/tasks/readable/063/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..904ac9d6d045b6a174e2e6355a45c2ff376987f7 --- /dev/null +++ b/tasks/readable/063/task_readable.sql @@ -0,0 +1,118 @@ +/* +{ + "qid": "063", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "financial", + "question": "Identify clients who are considered young adults when they received a sizable loan. Return the client ID, loan amount, and loan date.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "young", + "type": "infinite", + "ambiguity_type": "semantic_value", + "parameter_name": "age_upper_bound", + "parameter_dtype": "int", + "parameter_sample_operators": [ + "<", + "<=" + ], + "parameter_sample_values": [ + 25 + ], + "intended_parameter_operator": "<=", + "intended_parameter_value": 25 + }, + { + "id": "B", + "phrase": "adults", + "type": "infinite", + "ambiguity_type": "semantic_value", + "parameter_name": "age_lower_bound", + "parameter_dtype": "int", + "parameter_sample_operators": [ + ">", + ">=" + ], + "parameter_sample_values": [ + 18 + ], + "intended_parameter_operator": ">=", + "intended_parameter_value": 18 + }, + { + "id": "C", + "phrase": "sizable loan", + "type": "infinite", + "ambiguity_type": "semantic_value", + "parameter_name": "loan_amount_threshold", + "parameter_dtype": "int", + "parameter_sample_operators": [ + ">", + ">=" + ], + "parameter_sample_values": [ + 10000 + ], + "intended_parameter_operator": ">", + "intended_parameter_value": 10000 + } + ], + "gold_intended_query_id": "GQRY", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY` ----- +/* +{ + "id": "GQRY", + "parameter_names": [ + "age_lower_bound", + "age_upper_bound", + "loan_amount_threshold" + ], + "parameter_values": { + "age_lower_bound": 18, + "age_upper_bound": 25, + "loan_amount_threshold": 10000 + }, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] adults": ":age_lower_bound", + "[B] young": ":age_upper_bound", + "[C] sizable loan": ":loan_amount_threshold" + } + } +} +*/ +SELECT DISTINCT c.client_id, l.amount, l.date +FROM client c +JOIN disp d ON c.client_id = d.client_id +JOIN loan l ON d.account_id = l.account_id +WHERE (CAST((strftime('%Y', l.date) - strftime('%Y', c.birth_date)) AS INTEGER) +- (strftime('%m-%d', l.date) < strftime('%m-%d', c.birth_date))) >= :age_lower_bound +AND (CAST((strftime('%Y', l.date) - strftime('%Y', c.birth_date)) AS INTEGER) +- (strftime('%m-%d', l.date) < strftime('%m-%d', c.birth_date))) <= :age_upper_bound +AND l.amount > :loan_amount_threshold +ORDER BY c.client_id; +/* EXEC RESULT + client_id amount date + 376 91248 1998-11-25 + 389 369000 1997-07-11 + 403 331584 1998-07-12 + 944 73056 1995-11-23 + 945 73056 1995-11-23 +... TRUNCATED ... + 13694 44940 1997-10-07 + 13845 52788 1993-09-15 + 13852 67320 1997-01-31 + 13912 317460 1998-11-22 + 13923 39168 1998-09-27 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/064/gold_csv/GQRY-A.0.csv b/tasks/readable/064/gold_csv/GQRY-A.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..d92731af37f2df976ed6b64082e969ffaf47932b --- /dev/null +++ b/tasks/readable/064/gold_csv/GQRY-A.0.csv @@ -0,0 +1,29 @@ +account_id,max_insurance_amount +141,6716 +541,5626 +718,6041 +1809,6860 +1819,8253 +2082,5187 +2139,6275 +2166,5263 +2170,6011 +2346,6970 +2645,5457 +2864,6308 +2938,6758 +3007,5596 +3629,8742 +3782,10608 +3836,5308 +3872,5301 +5758,7996 +6040,5015 +6400,7396 +6856,6965 +8742,6089 +9034,9115 +9455,7793 +9883,12504 +9897,6953 +10093,7082 diff --git a/tasks/readable/064/gold_csv/GQRY-A.1.csv b/tasks/readable/064/gold_csv/GQRY-A.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..b0d4d9e964546c7ef7fd7019bdbf66ac4f2710f2 --- /dev/null +++ b/tasks/readable/064/gold_csv/GQRY-A.1.csv @@ -0,0 +1,382 @@ +account_id,total_insurance_amount +3,46007 +42,36616 +47,8460 +65,74822 +68,5891 +71,54594 +81,5496 +90,214228 +107,55622 +124,6797 +141,194764 +173,41895 +189,5760 +196,143024 +207,163560 +208,28594 +209,35920 +230,31740 +239,9728 +241,14030 +244,15312 +273,111996 +293,21856 +294,8170 +311,43875 +319,14976 +333,5548 +366,18392 +368,16409 +385,7744 +396,20020 +405,57264 +436,7325 +470,57134 +471,9867 +477,30558 +485,250040 +506,6950 +510,61537 +534,18774 +535,38250 +541,331934 +543,33405 +572,18148 +588,32704 +622,33384 +635,97200 +638,33174 +655,12352 +666,26740 +678,114086 +686,63895 +715,33072 +718,163107 +738,227602 +760,13635 +772,18480 +784,5559 +792,6468 +823,6120 +843,14352 +848,26650 +854,167737 +859,18227 +866,33768 +873,33165 +883,25480 +902,107012 +913,121473 +922,64428 +931,26277 +954,59086 +982,9916 +992,11725 +997,10320 +1000,191084 +1002,10340 +1019,41514 +1037,20826 +1068,11376 +1083,91371 +1095,12544 +1097,14425 +1100,25369 +1139,52492 +1174,127280 +1200,201984 +1211,9300 +1227,30380 +1241,5902 +1242,8862 +1244,10556 +1249,55801 +1259,7424 +1276,11323 +1287,21525 +1292,10387 +1306,77408 +1315,126400 +1318,8060 +1319,12258 +1326,25347 +1338,10519 +1340,11200 +1342,47645 +1352,17020 +1367,16491 +1378,45045 +1402,30615 +1412,69930 +1413,23560 +1414,78131 +1445,31175 +1482,6700 +1486,69285 +1513,78960 +1515,180234 +1560,6992 +1565,21831 +1566,98942 +1567,41460 +1568,37008 +1577,6380 +1590,22591 +1625,28518 +1641,12690 +1681,13416 +1683,7590 +1711,69056 +1723,46760 +1727,37230 +1761,17640 +1762,108460 +1767,60320 +1777,36454 +1798,34528 +1801,65008 +1809,391020 +1819,148554 +1828,7038 +1832,16268 +1888,71918 +1891,18459 +1904,58682 +1909,62176 +1931,72912 +1934,33840 +1943,56784 +1951,31733 +1962,51359 +1975,80417 +1978,22072 +1991,7161 +2023,69432 +2032,14490 +2050,11426 +2052,15254 +2054,120486 +2057,10766 +2068,65961 +2069,21080 +2082,274911 +2085,68765 +2101,17328 +2139,238450 +2151,9366 +2153,68913 +2166,84208 +2170,306561 +2179,9360 +2189,176589 +2190,66768 +2192,39984 +2234,17031 +2237,42240 +2247,20429 +2292,5586 +2297,25493 +2318,37932 +2322,45855 +2325,40860 +2335,13580 +2346,125460 +2394,7880 +2421,15246 +2427,128810 +2431,96810 +2440,8610 +2441,15700 +2470,50016 +2471,18150 +2475,76538 +2479,11832 +2484,40732 +2487,28628 +2494,114597 +2499,55740 +2501,39485 +2509,31200 +2510,53336 +2530,96148 +2541,85365 +2542,18480 +2545,14973 +2546,22560 +2568,16524 +2607,10584 +2632,154100 +2638,226900 +2642,93832 +2645,338334 +2649,10443 +2655,33475 +2676,154968 +2677,36777 +2697,38369 +2700,64011 +2725,7376 +2734,25860 +2743,26180 +2745,14650 +2767,35700 +2770,27664 +2789,42672 +2795,42987 +2799,119664 +2810,39080 +2813,12485 +2834,14223 +2839,15129 +2842,47410 +2864,182932 +2873,14459 +2906,7843 +2911,108024 +2916,76230 +2926,58156 +2938,418996 +2951,27258 +2967,89780 +2982,6102 +2996,5049 +3007,374932 +3017,55131 +3041,20804 +3051,21182 +3059,9522 +3090,11520 +3113,20552 +3124,33288 +3163,16200 +3195,13080 +3212,5700 +3222,35400 +3227,118550 +3240,7450 +3252,5890 +3272,27024 +3276,8136 +3309,40936 +3311,72555 +3312,6930 +3353,9522 +3354,89320 +3368,6160 +3399,6003 +3410,6253 +3413,14820 +3419,110520 +3424,93632 +3463,28072 +3466,30422 +3472,5448 +3474,38739 +3491,123825 +3497,5782 +3550,64100 +3551,16820 +3552,21672 +3558,200322 +3565,7380 +3605,22484 +3612,204576 +3614,69264 +3617,79173 +3628,47005 +3629,524520 +3636,241944 +3655,34844 +3659,39690 +3669,116872 +3709,7650 +3727,30900 +3743,21196 +3747,78000 +3754,27390 +3757,8833 +3779,109853 +3782,169728 +3791,28924 +3818,276420 +3834,210474 +3836,42464 +3847,33554 +3855,28620 +3864,11753 +3872,79515 +3909,40722 +3916,28270 +3917,22092 +3935,42380 +3936,16848 +3948,112233 +3971,15426 +3978,81877 +3995,35388 +3999,35469 +4079,18939 +4099,35046 +4190,42228 +4418,48018 +4476,139635 +4550,8056 +4660,8740 +4794,62840 +4907,17875 +5033,81252 +5072,29820 +5133,70434 +5215,22692 +5290,20040 +5313,60354 +5422,67445 +5423,256284 +5442,66105 +5445,11232 +5591,10005 +5724,10959 +5758,95952 +5952,221040 +6040,320960 +6400,214484 +6453,13525 +6688,14250 +6706,15485 +6792,11421 +6856,257705 +7099,12672 +7133,6785 +7136,20786 +7184,26258 +7594,39063 +7815,96668 +7819,77760 +7857,8357 +8039,100161 +8261,40698 +8405,170544 +8742,109602 +8926,19414 +9031,12255 +9034,565130 +9159,6325 +9167,8175 +9455,163653 +9491,20928 +9790,92056 +9859,19125 +9883,650208 +9897,292026 +10063,60412 +10093,354100 +10233,29580 +10365,9930 +10411,69690 +10451,40651 +10694,23900 +10789,66750 +10915,62067 +11271,18060 +11362,11220 diff --git a/tasks/readable/064/gold_csv/GQRY-A.2.csv b/tasks/readable/064/gold_csv/GQRY-A.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..1a6c10a58e6a596446d64eab3db0d7ce1ce34821 --- /dev/null +++ b/tasks/readable/064/gold_csv/GQRY-A.2.csv @@ -0,0 +1,29 @@ +account_id,avg_insurance_amount +141,6716.0 +541,5626.0 +718,6041.0 +1809,6860.0 +1819,8253.0 +2082,5187.0 +2139,6275.0 +2166,5263.0 +2170,6011.0 +2346,6970.0 +2645,5457.0 +2864,6308.0 +2938,6758.0 +3007,5596.0 +3629,8742.0 +3782,10608.0 +3836,5308.0 +3872,5301.0 +5758,7996.0 +6040,5015.0 +6400,7396.0 +6856,6965.0 +8742,6089.0 +9034,9115.0 +9455,7793.0 +9883,12504.0 +9897,6953.0 +10093,7082.0 diff --git a/tasks/readable/064/task_readable.sql b/tasks/readable/064/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..bc56eea32fd1b627ba24acdd7115104fcd2da4da --- /dev/null +++ b/tasks/readable/064/task_readable.sql @@ -0,0 +1,172 @@ +/* +{ + "qid": "064", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "financial", + "question": "Find the accounts with high transaction value related to insurance payments and display the corresponding value.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "high transaction value", + "type": "finite", + "ambiguity_type": "semantic_computation", + "interpretations": [ + "high single transaction value", + "high total transaction value", + "high average transaction value" + ], + "intended_interpretation_idx": 1 + }, + { + "id": "B", + "phrase": "high transaction value", + "type": "infinite", + "ambiguity_type": "semantic_value", + "parameter_name": "amount_threshold", + "parameter_dtype": "int", + "parameter_sample_operators": [ + ">", + ">=" + ], + "parameter_sample_values": [ + 5000 + ], + "intended_parameter_operator": ">=", + "intended_parameter_value": 5000 + } + ], + "gold_intended_query_id": "GQRY-A.1", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0` ----- +/* +{ + "id": "GQRY-A.0", + "parameter_names": [ + "amount_threshold" + ], + "parameter_values": { + "amount_threshold": 5000 + }, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] high transaction value": "high single transaction value", + "[B] high transaction value": ":amount_threshold" + } + } +} +*/ +SELECT account_id, MAX(amount) AS max_insurance_amount +FROM trans +WHERE k_symbol = 'POJISTNE' +GROUP BY account_id +HAVING max_insurance_amount >= :amount_threshold; +/* EXEC RESULT + account_id max_insurance_amount + 141 6716 + 541 5626 + 718 6041 + 1809 6860 + 1819 8253 +... TRUNCATED ... + 9034 9115 + 9455 7793 + 9883 12504 + 9897 6953 + 10093 7082 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1` ----- +/* +{ + "id": "GQRY-A.1", + "parameter_names": [ + "amount_threshold" + ], + "parameter_values": { + "amount_threshold": 5000 + }, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] high transaction value": "high total transaction value", + "[B] high transaction value": ":amount_threshold" + } + } +} +*/ +SELECT account_id, SUM(amount) AS total_insurance_amount +FROM trans +WHERE k_symbol = 'POJISTNE' +GROUP BY account_id +HAVING total_insurance_amount >= :amount_threshold; +/* EXEC RESULT + account_id total_insurance_amount + 3 46007 + 42 36616 + 47 8460 + 65 74822 + 68 5891 +... TRUNCATED ... + 10694 23900 + 10789 66750 + 10915 62067 + 11271 18060 + 11362 11220 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.2` ----- +/* +{ + "id": "GQRY-A.2", + "parameter_names": [ + "amount_threshold" + ], + "parameter_values": { + "amount_threshold": 5000 + }, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] high transaction value": "high average transaction value", + "[B] high transaction value": ":amount_threshold" + } + } +} +*/ +SELECT account_id, AVG(amount) AS avg_insurance_amount +FROM trans +WHERE k_symbol = 'POJISTNE' +GROUP BY account_id +HAVING avg_insurance_amount >= :amount_threshold; +/* EXEC RESULT + account_id avg_insurance_amount + 141 6716.0 + 541 5626.0 + 718 6041.0 + 1809 6860.0 + 1819 8253.0 +... TRUNCATED ... + 9034 9115.0 + 9455 7793.0 + 9883 12504.0 + 9897 6953.0 + 10093 7082.0 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/065/gold_csv/GQRY-B.0.csv b/tasks/readable/065/gold_csv/GQRY-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..4b2e2bce8a2b60b8ecf39c52f01ef7be3d40e995 --- /dev/null +++ b/tasks/readable/065/gold_csv/GQRY-B.0.csv @@ -0,0 +1,13 @@ +district_id,district_name,unemployment_rate_1995,unemployment_rate_1996 +1,Hl.m. Praha,0.2,0.43 +8,Mlada Boleslav,1.2,1.44 +10,Praha - vychod,0.5,0.54 +11,Praha - zapad,0.4,0.59 +14,Ceske Budejovice,1.4,1.71 +16,Jindrichuv Hradec,1.1,1.54 +22,Domazlice,1.1,1.25 +24,Karlovy Vary,1.3,2.01 +27,Plzen - jih,0.6,1.29 +35,Jablonec n. Nisou,1.0,1.21 +47,Pardubice,1.5,1.81 +62,Uherske Hradiste,1.2,1.86 diff --git a/tasks/readable/065/gold_csv/GQRY-B.1.csv b/tasks/readable/065/gold_csv/GQRY-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..9e0a50cabc136deebd925b5f437e726b13a79962 --- /dev/null +++ b/tasks/readable/065/gold_csv/GQRY-B.1.csv @@ -0,0 +1,9 @@ +district_id,district_name,unemployment_rate_1995,unemployment_rate_1996 +1,Hl.m. Praha,0.2,0.43 +8,Mlada Boleslav,1.2,1.44 +10,Praha - vychod,0.5,0.54 +11,Praha - zapad,0.4,0.59 +16,Jindrichuv Hradec,1.1,1.54 +22,Domazlice,1.1,1.25 +27,Plzen - jih,0.6,1.29 +35,Jablonec n. Nisou,1.0,1.21 diff --git a/tasks/readable/065/gold_csv/GQRY-B.2.csv b/tasks/readable/065/gold_csv/GQRY-B.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..8e553b148040fce891c023607c4cc2d3ee28a359 --- /dev/null +++ b/tasks/readable/065/gold_csv/GQRY-B.2.csv @@ -0,0 +1,18 @@ +district_id,district_name,unemployment_rate_1995,unemployment_rate_1996 +1,Hl.m. Praha,0.2,0.43 +2,Benesov,1.6,1.85 +8,Mlada Boleslav,1.2,1.44 +10,Praha - vychod,0.5,0.54 +11,Praha - zapad,0.4,0.59 +14,Ceske Budejovice,1.4,1.71 +16,Jindrichuv Hradec,1.1,1.54 +21,Tabor,1.5,2.07 +22,Domazlice,1.1,1.25 +24,Karlovy Vary,1.3,2.01 +27,Plzen - jih,0.6,1.29 +28,Plzen - sever,1.6,2.01 +35,Jablonec n. Nisou,1.0,1.21 +47,Pardubice,1.5,1.81 +54,Brno - mesto,1.6,1.96 +62,Uherske Hradiste,1.2,1.86 +64,Zlin,1.6,2.31 diff --git a/tasks/readable/065/task_readable.sql b/tasks/readable/065/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..d59299710c3a774e99278dde4f33b682a5396bd0 --- /dev/null +++ b/tasks/readable/065/task_readable.sql @@ -0,0 +1,173 @@ +/* +{ + "qid": "065", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "financial", + "question": "List the districts with low unemployment in 1995 - 1996.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "low unemployment", + "type": "infinite", + "ambiguity_type": "semantic_value", + "parameter_name": "unemployment_rate_threshold", + "parameter_dtype": "float", + "parameter_sample_operators": [ + "<", + "<=" + ], + "parameter_sample_values": [ + 1.7 + ], + "intended_parameter_operator": "<", + "intended_parameter_value": 1.7 + }, + { + "id": "B", + "phrase": "low unemployment in 1995 - 1996", + "type": "finite", + "ambiguity_type": "semantic_computation", + "interpretations": [ + "low average unemployment rate across 1995 and 1996", + "low unemployment rate in both 1995 and 1996", + "low unemployment rate in either 1995 or 1996" + ], + "intended_interpretation_idx": 2 + } + ], + "gold_intended_query_id": "GQRY-B.2", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-B.0` ----- +/* +{ + "id": "GQRY-B.0", + "parameter_names": [ + "unemployment_rate_threshold" + ], + "parameter_values": { + "unemployment_rate_threshold": 1.7 + }, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] low unemployment": ":unemployment_rate_threshold", + "[B] low unemployment in 1995 - 1996": "low average unemployment rate across 1995 and 1996" + } + } +} +*/ +SELECT district_id, A2 as district_name, A12 as unemployment_rate_1995, A13 as unemployment_rate_1996 +FROM district +WHERE (A12 + A13) / 2.0 < :unemployment_rate_threshold; +/* EXEC RESULT + district_id district_name unemployment_rate_1995 unemployment_rate_1996 + 1 Hl.m. Praha 0.2 0.43 + 8 Mlada Boleslav 1.2 1.44 + 10 Praha - vychod 0.5 0.54 + 11 Praha - zapad 0.4 0.59 + 14 Ceske Budejovice 1.4 1.71 +... TRUNCATED ... + 24 Karlovy Vary 1.3 2.01 + 27 Plzen - jih 0.6 1.29 + 35 Jablonec n. Nisou 1.0 1.21 + 47 Pardubice 1.5 1.81 + 62 Uherske Hradiste 1.2 1.86 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-B.1` ----- +/* +{ + "id": "GQRY-B.1", + "parameter_names": [ + "unemployment_rate_threshold", + "unemployment_rate_threshold" + ], + "parameter_values": { + "unemployment_rate_threshold": 1.7 + }, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] low unemployment": ":unemployment_rate_threshold", + "[B] low unemployment in 1995 - 1996": "low unemployment rate in both 1995 and 1996" + } + } +} +*/ +SELECT district_id, A2 as district_name, A12 as unemployment_rate_1995, A13 as unemployment_rate_1996 +FROM district +WHERE A12 < :unemployment_rate_threshold +AND A13 < :unemployment_rate_threshold; +/* EXEC RESULT + district_id district_name unemployment_rate_1995 unemployment_rate_1996 + 1 Hl.m. Praha 0.2 0.43 + 8 Mlada Boleslav 1.2 1.44 + 10 Praha - vychod 0.5 0.54 + 11 Praha - zapad 0.4 0.59 + 16 Jindrichuv Hradec 1.1 1.54 + 22 Domazlice 1.1 1.25 + 27 Plzen - jih 0.6 1.29 + 35 Jablonec n. Nisou 1.0 1.21 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-B.2` ----- +/* +{ + "id": "GQRY-B.2", + "parameter_names": [ + "unemployment_rate_threshold", + "unemployment_rate_threshold" + ], + "parameter_values": { + "unemployment_rate_threshold": 1.7 + }, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] low unemployment": ":unemployment_rate_threshold", + "[B] low unemployment in 1995 - 1996": "low unemployment rate in either 1995 or 1996" + } + } +} +*/ +SELECT district_id, A2 as district_name, A12 as unemployment_rate_1995, A13 as unemployment_rate_1996 +FROM district +WHERE A12 < :unemployment_rate_threshold +OR A13 < :unemployment_rate_threshold; +/* EXEC RESULT + district_id district_name unemployment_rate_1995 unemployment_rate_1996 + 1 Hl.m. Praha 0.2 0.43 + 2 Benesov 1.6 1.85 + 8 Mlada Boleslav 1.2 1.44 + 10 Praha - vychod 0.5 0.54 + 11 Praha - zapad 0.4 0.59 +... TRUNCATED ... + 35 Jablonec n. Nisou 1.0 1.21 + 47 Pardubice 1.5 1.81 + 54 Brno - mesto 1.6 1.96 + 62 Uherske Hradiste 1.2 1.86 + 64 Zlin 1.6 2.31 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/066/gold_csv/GQRY-A.0.csv b/tasks/readable/066/gold_csv/GQRY-A.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..72ca382a92016352e4307c05c4a3707904991ecb --- /dev/null +++ b/tasks/readable/066/gold_csv/GQRY-A.0.csv @@ -0,0 +1,9 @@ +region,avg_age,num_male_clients +Prague,71.43137254901961,339 +central Bohemia,71.05873493975903,328 +east Bohemia,70.9590909090909,342 +north Bohemia,71.54010695187166,280 +north Moravia,72.24347826086957,483 +south Bohemia,71.29398663697104,218 +south Moravia,71.03521878335113,463 +west Bohemia,71.27184466019418,271 diff --git a/tasks/readable/066/gold_csv/GQRY-A.1.csv b/tasks/readable/066/gold_csv/GQRY-A.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..bcead9d9da5a1fb461f75e58e7c5947f1abf7289 --- /dev/null +++ b/tasks/readable/066/gold_csv/GQRY-A.1.csv @@ -0,0 +1,9 @@ +region,avg_age,num_male_clients +Prague,71.31858407079646,339 +central Bohemia,71.38414634146342,328 +east Bohemia,71.12573099415205,342 +north Bohemia,72.99285714285715,280 +north Moravia,72.4616977225673,483 +south Bohemia,72.34862385321101,218 +south Moravia,71.12526997840173,463 +west Bohemia,71.92619926199262,271 diff --git a/tasks/readable/066/task_readable.sql b/tasks/readable/066/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..f0352292ffb3f6ff6b91f10b931862b6780aaa53 --- /dev/null +++ b/tasks/readable/066/task_readable.sql @@ -0,0 +1,99 @@ +/* +{ + "qid": "066", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "financial", + "question": "Show the average age and number of male clients by region, assuming the current date is August 1st, 2025.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "average age and number of male clients", + "type": "finite", + "ambiguity_type": "syntactic_computation", + "interpretations": [ + "average age of all clients and number of male clients", + "average age of male clients and number of male clients" + ], + "intended_interpretation_idx": 0 + } + ], + "gold_intended_query_id": "GQRY-A.0", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0` ----- +/* +{ + "id": "GQRY-A.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] average age and number of male clients": "average age of all clients and number of male clients" + } + } +} +*/ +SELECT d.A3 AS region, +AVG(CAST((strftime('%Y', '2025-08-01') - strftime('%Y', birth_date)) AS INTEGER) +- (strftime('%m-%d', '2025-08-01') < strftime('%m-%d', birth_date))) AS avg_age, +SUM(CASE WHEN c.gender = 'M' THEN 1 ELSE 0 END) AS num_male_clients +FROM district d +LEFT JOIN client c ON c.district_id = d.district_id +GROUP BY d.A3; +/* EXEC RESULT + region avg_age num_male_clients + Prague 71.431373 339 +central Bohemia 71.058735 328 + east Bohemia 70.959091 342 + north Bohemia 71.540107 280 + north Moravia 72.243478 483 + south Bohemia 71.293987 218 + south Moravia 71.035219 463 + west Bohemia 71.271845 271 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1` ----- +/* +{ + "id": "GQRY-A.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] average age and number of male clients": "average age of male clients and number of male clients" + } + } +} +*/ +SELECT d.A3 AS region, +AVG(CAST((strftime('%Y', '2025-08-01') - strftime('%Y', birth_date)) AS INTEGER) +- (strftime('%m-%d', '2025-08-01') < strftime('%m-%d', birth_date))) AS avg_age, +COUNT(DISTINCT c.client_id) AS num_male_clients +FROM district d +LEFT JOIN client c ON c.district_id = d.district_id AND c.gender = 'M' +GROUP BY d.A3; +/* EXEC RESULT + region avg_age num_male_clients + Prague 71.318584 339 +central Bohemia 71.384146 328 + east Bohemia 71.125731 342 + north Bohemia 72.992857 280 + north Moravia 72.461698 483 + south Bohemia 72.348624 218 + south Moravia 71.125270 463 + west Bohemia 71.926199 271 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/067/gold_csv/GQRY-A.0-B.0.csv b/tasks/readable/067/gold_csv/GQRY-A.0-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..b5680e83bf5127155ec76ccfc3eae4bf5555f9e0 --- /dev/null +++ b/tasks/readable/067/gold_csv/GQRY-A.0-B.0.csv @@ -0,0 +1,129 @@ +account_id,avg_amount,max_amount,account_balance +10,6670.608974358975,26529,59295 +21,4813.5161290322585,28000,53231 +86,1085.1878048780488,8880,21976 +130,2674.3883495145633,7350,29171 +188,6990.5558312655085,29120,100010 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100644 index 0000000000000000000000000000000000000000..1c0e6f78012438736d5f8695d69fa69a10240d9e --- /dev/null +++ b/tasks/readable/067/gold_csv/GQRY-A.0-B.2.csv @@ -0,0 +1,129 @@ +account_id,avg_amount,max_amount,account_balance +10,,,59295 +21,,,53231 +86,,,21976 +130,,,29171 +188,,,100010 +208,,,19740 +261,,,21485 +284,,,30723 +327,,,64597 +344,100980.0,100980.0,56604 +430,,,64437 +442,357840.0,357840.0,54377 +455,,,30696 +530,,,32986 +545,,,85460 +586,,,22608 +594,,,23727 +599,,,25876 +682,,,20931 +696,,,56103 +703,,,35288 +720,,,14918 +741,,,56589 +790,208128.0,208128.0,29046 +888,,,19431 +929,,,30024 +973,,,24106 +982,,,21159 +997,,,22539 +1005,,,107122 +1093,385104.0,385104.0,39716 +1095,,,43103 +1110,,,66207 +1274,,,79225 +1308,,,32164 +1335,,,47779 +1411,,,98188 +1443,,,42035 +1460,,,27942 +1468,,,27232 +1479,,,15014 +1532,,,91680 +1537,,,70816 +1556,,,55735 +1604,,,61848 +1818,,,38612 +1833,,,35981 +1861,,,89777 +1884,,,16698 +1983,,,78363 +1987,,,43453 +1995,,,23810 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+5891,65184.0,65184.0,106848 +6138,67608.0,67608.0,38276 +6678,294384.0,294384.0,25588 +7101,,,14163 +7542,590820.0,590820.0,64727 +7966,473280.0,473280.0,27503 +8092,56100.0,56100.0,13814 +8523,93036.0,93036.0,58518 +9424,83628.0,83628.0,40314 +9730,116040.0,116040.0,39012 +9731,113796.0,113796.0,18842 +10266,75624.0,75624.0,17053 +11328,280440.0,280440.0,63586 diff --git a/tasks/readable/067/gold_csv/GQRY-A.1-B.0.csv b/tasks/readable/067/gold_csv/GQRY-A.1-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..7bd8512122616db0c5da30811a4ca20419569a80 --- /dev/null +++ b/tasks/readable/067/gold_csv/GQRY-A.1-B.0.csv @@ -0,0 +1,54 @@ +account_id,avg_amount,max_amount,account_balance +98,1626.4716981132076,7700,14444 +113,2582.0882352941176,6800,26351 +121,1273.1847826086957,13100,34955 +124,1278.6571428571428,10600,13566 +180,9697.335347432025,34892,64309 +192,2339.7965616045844,13450,29947 +243,13568.630853994491,69500,15153 +372,7611.3031496062995,34720,40829 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+3224,2201.655172413793,13950,24152 +3378,4739.078787878788,28160,22606 +3472,5568.310185185185,51700,55101 +3546,7510.385714285714,33411,86013 +3584,11075.443298969072,50740,61403 +3667,2171.128125,7900,16544 +3763,3535.533834586466,15424,29118 +3974,6028.163043478261,22816,34061 +4143,10568.147540983606,32294,78362 +4225,9887.049689440993,33178,78797 +5215,3495.2119309262166,23231,69283 +7052,5423.3942307692305,21558,30797 +7965,8256.926108374384,52400,61532 +10105,11831.0,64900,72453 +10364,4808.558521560575,57100,50991 +10520,11559.138613861385,60800,28240 +10613,12661.12987012987,72000,40810 diff --git a/tasks/readable/067/gold_csv/GQRY-A.1-B.1.csv b/tasks/readable/067/gold_csv/GQRY-A.1-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..895c76f5331b247a2a532c20848218177335ef0c --- /dev/null +++ b/tasks/readable/067/gold_csv/GQRY-A.1-B.1.csv @@ -0,0 +1,54 @@ +account_id,avg_amount,max_amount,account_balance +98,1159.0,1569.0,14444 +113,3146.0,3146.0,26351 +121,705.3333333333334,929.0,34955 +124,664.3333333333334,971.0,13566 +180,,,64309 +192,3583.0,3583.0,29947 +243,2054.0,3067.0,15153 +372,4966.5,7785.0,40829 +405,4011.75,9632.0,13828 +497,3405.0,3405.0,46574 +576,3662.0,3662.0,35551 +704,1669.0,2141.0,81680 +939,2108.0,2108.0,21174 +1080,6185.0,6185.0,103905 +1087,,,77560 +1105,2927.0,4015.0,43621 +1187,2288.0,2288.0,19544 +1270,3119.65,4162.0,27961 +1284,4375.5,4375.5,30355 +1302,3924.0,3924.0,35450 +1348,1844.6666666666667,5025.0,52325 +1440,710.6666666666666,2020.0,20761 +1663,1320.0,2220.0,54290 +1689,2128.0,2128.0,13367 +1819,3611.45,8253.0,105344 +1851,3649.0,3649.0,46087 +2029,,,8900 +2079,,,79129 +2144,,,11554 +2325,1919.6666666666667,2270.0,35869 +2459,1971.0,1971.0,24610 +2517,11769.0,11769.0,63717 +2621,2819.0,2819.0,15649 +2657,2174.0,2174.0,28250 +2928,3566.0,3566.0,26656 +3056,1450.5,2033.0,32992 +3224,1979.0,2583.0,24152 +3378,6387.0,6387.0,22606 +3472,3329.3333333333335,9623.0,55101 +3546,3226.5,4795.0,86013 +3584,5186.233333333334,12078.0,61403 +3667,2975.0,2975.0,16544 +3763,3427.5,3623.0,29118 +3974,4670.0,4670.0,34061 +4143,1896.0,1896.0,78362 +4225,,,78797 +5215,1555.6,5315.0,69283 +7052,1776.7,1776.7,30797 +7965,6611.5,7268.0,61532 +10105,5079.0,5079.0,72453 +10364,3435.5,6262.0,50991 +10520,6959.8,6959.8,28240 +10613,5204.2,5204.2,40810 diff --git a/tasks/readable/067/gold_csv/GQRY-A.1-B.2.csv b/tasks/readable/067/gold_csv/GQRY-A.1-B.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..37614aef48f4322e47df1e4ff664ec9f47203e98 --- /dev/null +++ b/tasks/readable/067/gold_csv/GQRY-A.1-B.2.csv @@ -0,0 +1,54 @@ +account_id,avg_amount,max_amount,account_balance +98,,,14444 +113,,,26351 +121,,,34955 +124,,,13566 +180,,,64309 +192,,,29947 +243,,,15153 +372,,,40829 +405,,,13828 +497,,,46574 +576,,,35551 +704,,,81680 +939,,,21174 +1080,,,103905 +1087,,,77560 +1105,,,43621 +1187,,,19544 +1270,74772.0,74772.0,27961 +1284,52512.0,52512.0,30355 +1302,,,35450 +1348,,,52325 +1440,,,20761 +1663,,,54290 +1689,,,13367 +1819,143676.0,143676.0,105344 +1851,,,46087 +2029,,,8900 +2079,,,79129 +2144,,,11554 +2325,,,35869 +2459,,,24610 +2517,,,63717 +2621,,,15649 +2657,,,28250 +2928,,,26656 +3056,,,32992 +3224,,,24152 +3378,,,22606 +3472,,,55101 +3546,,,86013 +3584,,,61403 +3667,,,16544 +3763,,,29118 +3974,,,34061 +4143,,,78362 +4225,,,78797 +5215,14628.0,14628.0,69283 +7052,63972.0,63972.0,30797 +7965,71460.0,71460.0,61532 +10105,121896.0,121896.0,72453 +10364,21924.0,21924.0,50991 +10520,417600.0,417600.0,28240 +10613,249792.0,249792.0,40810 diff --git a/tasks/readable/067/task_readable.sql b/tasks/readable/067/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..084a3f64b55b404d051fad776f9b7d310f603523 --- /dev/null +++ b/tasks/readable/067/task_readable.sql @@ -0,0 +1,415 @@ +/* +{ + "qid": "067", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "financial", + "question": "For each account in the Brno district, list the average and maximum amount along with the latest balance.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "the Brno district", + "type": "finite", + "ambiguity_type": "semantic_value", + "interpretations": [ + "Brno - mesto (the urban district of Brno)", + "Brno - venkov (the countryside district of Brno)" + ], + "intended_interpretation_idx": 1 + }, + { + "id": "B", + "phrase": "amount", + "type": "finite", + "ambiguity_type": "semantic_table", + "interpretations": [ + "transaction amount", + "order amount", + "loan amount" + ], + "intended_interpretation_idx": 2 + } + ], + "gold_intended_query_id": "GQRY-A.1-B.2", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0-B.0` ----- +/* +{ + "id": "GQRY-A.0-B.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] the Brno district": "Brno - mesto (the urban district of Brno)", + "[B] amount": "transaction amount" + } + } +} +*/ +WITH agg AS ( +SELECT account_id, AVG(amount) AS avg_amount, MAX(amount) AS max_amount +FROM trans +GROUP BY account_id +), +latest_balance AS ( +SELECT account_id, balance +FROM ( +SELECT +account_id, +balance, +ROW_NUMBER() OVER ( +PARTITION BY account_id +ORDER BY date DESC, trans_id DESC +) AS rn +FROM trans +) +WHERE rn = 1 +), +brno_accounts AS ( +SELECT account_id +FROM account +JOIN district ON account.district_id = district.district_id +WHERE district.A2 = 'Brno - mesto' +) +SELECT a.account_id, agg.avg_amount, agg.max_amount, lb.balance AS account_balance +FROM brno_accounts a +LEFT JOIN agg ON a.account_id = agg.account_id +LEFT JOIN latest_balance lb ON a.account_id = lb.account_id; +/* EXEC RESULT + account_id avg_amount max_amount account_balance + 10 6670.608974 26529 59295 + 21 4813.516129 28000 53231 + 86 1085.187805 8880 21976 + 130 2674.388350 7350 29171 + 188 6990.555831 29120 100010 +... TRUNCATED ... + 9424 5486.906250 20904 40314 + 9730 3370.331210 16041 39012 + 9731 5871.936416 28446 18842 + 10266 9714.814570 61000 17053 + 11328 9087.869863 61000 63586 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.1` ----- +/* +{ + "id": "GQRY-A.0-B.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] the Brno district": "Brno - mesto (the urban district of Brno)", + "[B] amount": "order amount" + } + } +} +*/ +WITH agg AS ( +SELECT account_id, AVG(amount) AS avg_amount, MAX(amount) AS max_amount +FROM "order" +GROUP BY account_id +), +latest_balance AS ( +SELECT account_id, balance +FROM ( +SELECT +account_id, +balance, +ROW_NUMBER() OVER ( +PARTITION BY account_id +ORDER BY date DESC, trans_id DESC +) AS rn +FROM trans +) +WHERE rn = 1 +), +brno_accounts AS ( +SELECT account_id +FROM account +JOIN district ON account.district_id = district.district_id +WHERE district.A2 = 'Brno - mesto' +) +SELECT a.account_id, agg.avg_amount, agg.max_amount, lb.balance AS account_balance +FROM brno_accounts a +LEFT JOIN agg ON a.account_id = agg.account_id +LEFT JOIN latest_balance lb ON a.account_id = lb.account_id; +/* EXEC RESULT + account_id avg_amount max_amount account_balance + 10 4188.500000 7033.0 59295 + 21 6276.000000 6276.0 53231 + 86 1081.000000 1160.0 21976 + 130 3969.000000 3969.0 29171 + 188 7426.000000 7426.0 100010 +... TRUNCATED ... + 9424 2322.700000 2322.7 40314 + 9730 2318.666667 4764.0 39012 + 9731 3149.233333 4967.0 18842 + 10266 3151.300000 3151.3 17053 + 11328 4674.000000 4674.0 63586 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.2` ----- +/* +{ + "id": "GQRY-A.0-B.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] the Brno district": "Brno - mesto (the urban district of Brno)", + "[B] amount": "loan amount" + } + } +} +*/ +WITH agg AS ( +SELECT account_id, AVG(amount) AS avg_amount, MAX(amount) AS max_amount +FROM loan +GROUP BY account_id +), +latest_balance AS ( +SELECT account_id, balance +FROM ( +SELECT +account_id, +balance, +ROW_NUMBER() OVER ( +PARTITION BY account_id +ORDER BY date DESC, trans_id DESC +) AS rn +FROM trans +) +WHERE rn = 1 +), +brno_accounts AS ( +SELECT account_id +FROM account +JOIN district ON account.district_id = district.district_id +WHERE district.A2 = 'Brno - mesto' +) +SELECT a.account_id, agg.avg_amount, agg.max_amount, lb.balance AS account_balance +FROM brno_accounts a +LEFT JOIN agg ON a.account_id = agg.account_id +LEFT JOIN latest_balance lb ON a.account_id = lb.account_id; +/* EXEC RESULT + account_id avg_amount max_amount account_balance + 10 NaN NaN 59295 + 21 NaN NaN 53231 + 86 NaN NaN 21976 + 130 NaN NaN 29171 + 188 NaN NaN 100010 +... TRUNCATED ... + 9424 83628.0 83628.0 40314 + 9730 116040.0 116040.0 39012 + 9731 113796.0 113796.0 18842 + 10266 75624.0 75624.0 17053 + 11328 280440.0 280440.0 63586 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.0` ----- +/* +{ + "id": "GQRY-A.1-B.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] the Brno district": "Brno - venkov (the countryside district of Brno)", + "[B] amount": "transaction amount" + } + } +} +*/ +WITH agg AS ( +SELECT account_id, AVG(amount) AS avg_amount, MAX(amount) AS max_amount +FROM trans +GROUP BY account_id +), +latest_balance AS ( +SELECT account_id, balance +FROM ( +SELECT +account_id, +balance, +ROW_NUMBER() OVER ( +PARTITION BY account_id +ORDER BY date DESC, trans_id DESC +) AS rn +FROM trans +) +WHERE rn = 1 +), +brno_accounts AS ( +SELECT account_id +FROM account +JOIN district ON account.district_id = district.district_id +WHERE district.A2 = 'Brno - venkov' +) +SELECT a.account_id, agg.avg_amount, agg.max_amount, lb.balance AS account_balance +FROM brno_accounts a +LEFT JOIN agg ON a.account_id = agg.account_id +LEFT JOIN latest_balance lb ON a.account_id = lb.account_id; +/* EXEC RESULT + account_id avg_amount max_amount account_balance + 98 1626.471698 7700 14444 + 113 2582.088235 6800 26351 + 121 1273.184783 13100 34955 + 124 1278.657143 10600 13566 + 180 9697.335347 34892 64309 +... TRUNCATED ... + 7965 8256.926108 52400 61532 + 10105 11831.000000 64900 72453 + 10364 4808.558522 57100 50991 + 10520 11559.138614 60800 28240 + 10613 12661.129870 72000 40810 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.1` ----- +/* +{ + "id": "GQRY-A.1-B.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] the Brno district": "Brno - venkov (the countryside district of Brno)", + "[B] amount": "order amount" + } + } +} +*/ +WITH agg AS ( +SELECT account_id, AVG(amount) AS avg_amount, MAX(amount) AS max_amount +FROM "order" +GROUP BY account_id +), +latest_balance AS ( +SELECT account_id, balance +FROM ( +SELECT +account_id, +balance, +ROW_NUMBER() OVER ( +PARTITION BY account_id +ORDER BY date DESC, trans_id DESC +) AS rn +FROM trans +) +WHERE rn = 1 +), +brno_accounts AS ( +SELECT account_id +FROM account +JOIN district ON account.district_id = district.district_id +WHERE district.A2 = 'Brno - venkov' +) +SELECT a.account_id, agg.avg_amount, agg.max_amount, lb.balance AS account_balance +FROM brno_accounts a +LEFT JOIN agg ON a.account_id = agg.account_id +LEFT JOIN latest_balance lb ON a.account_id = lb.account_id; +/* EXEC RESULT + account_id avg_amount max_amount account_balance + 98 1159.000000 1569.0 14444 + 113 3146.000000 3146.0 26351 + 121 705.333333 929.0 34955 + 124 664.333333 971.0 13566 + 180 NaN NaN 64309 +... TRUNCATED ... + 7965 6611.500000 7268.0 61532 + 10105 5079.000000 5079.0 72453 + 10364 3435.500000 6262.0 50991 + 10520 6959.800000 6959.8 28240 + 10613 5204.200000 5204.2 40810 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.2` ----- +/* +{ + "id": "GQRY-A.1-B.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] the Brno district": "Brno - venkov (the countryside district of Brno)", + "[B] amount": "loan amount" + } + } +} +*/ +WITH agg AS ( +SELECT account_id, AVG(amount) AS avg_amount, MAX(amount) AS max_amount +FROM loan +GROUP BY account_id +), +latest_balance AS ( +SELECT account_id, balance +FROM ( +SELECT +account_id, +balance, +ROW_NUMBER() OVER ( +PARTITION BY account_id +ORDER BY date DESC, trans_id DESC +) AS rn +FROM trans +) +WHERE rn = 1 +), +brno_accounts AS ( +SELECT account_id +FROM account +JOIN district ON account.district_id = district.district_id +WHERE district.A2 = 'Brno - venkov' +) +SELECT a.account_id, agg.avg_amount, agg.max_amount, lb.balance AS account_balance +FROM brno_accounts a +LEFT JOIN agg ON a.account_id = agg.account_id +LEFT JOIN latest_balance lb ON a.account_id = lb.account_id; +/* EXEC RESULT + account_id avg_amount max_amount account_balance + 98 NaN NaN 14444 + 113 NaN NaN 26351 + 121 NaN NaN 34955 + 124 NaN NaN 13566 + 180 NaN NaN 64309 +... TRUNCATED ... + 7965 71460.0 71460.0 61532 + 10105 121896.0 121896.0 72453 + 10364 21924.0 21924.0 50991 + 10520 417600.0 417600.0 28240 + 10613 249792.0 249792.0 40810 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/068/gold_csv/GQRY-A.0.csv b/tasks/readable/068/gold_csv/GQRY-A.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..851124fc7b88ad1099876902fb1623ff443f38b7 --- /dev/null +++ b/tasks/readable/068/gold_csv/GQRY-A.0.csv @@ -0,0 +1,14 @@ +bank_to,total_value_sent +AB,1707389.5000000005 +CD,1498209.4 +EF,1698275.0000000002 +GH,1603264.8000000003 +IJ,1626195.4000000001 +KL,1685397.0 +MN,1461547.5000000002 +OP,1486419.3 +QR,1728170.2999999993 +ST,1690662.7000000002 +UV,1675704.2 +WX,1730775.7000000002 +YZ,1636982.8000000003 diff --git a/tasks/readable/068/gold_csv/GQRY-A.1.csv b/tasks/readable/068/gold_csv/GQRY-A.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..6b190dd90d0b36625eb9e797ff748cedef2ec9f1 --- /dev/null +++ b/tasks/readable/068/gold_csv/GQRY-A.1.csv @@ -0,0 +1,15 @@ +bank,total_value_sent +,0 +AB,54216236 +CD,46529205 +EF,57432163 +GH,50644269 +IJ,51008303 +KL,55479397 +MN,44913870 +OP,46682005 +QR,56847691 +ST,55240450 +UV,50928129 +WX,52131057 +YZ,50581209 diff --git a/tasks/readable/068/task_readable.sql b/tasks/readable/068/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..0885b65dda1a0447c1e16eaae6b803f311639577 --- /dev/null +++ b/tasks/readable/068/task_readable.sql @@ -0,0 +1,103 @@ +/* +{ + "qid": "068", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "financial", + "question": "Find the total value sent to each bank.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "total value sent to each bank", + "type": "finite", + "ambiguity_type": "semantic_table", + "interpretations": [ + "computed using order table", + "computed using trans table" + ], + "intended_interpretation_idx": 0 + } + ], + "gold_intended_query_id": "GQRY-A.0", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0` ----- +/* +{ + "id": "GQRY-A.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] total value sent to each bank": "computed using order table" + } + } +} +*/ +SELECT +bank_to, +SUM(amount) AS total_value_sent +FROM "order" +GROUP BY bank_to +ORDER BY bank_to; +/* EXEC RESULT +bank_to total_value_sent + AB 1707389.5 + CD 1498209.4 + EF 1698275.0 + GH 1603264.8 + IJ 1626195.4 +... TRUNCATED ... + QR 1728170.3 + ST 1690662.7 + UV 1675704.2 + WX 1730775.7 + YZ 1636982.8 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1` ----- +/* +{ + "id": "GQRY-A.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] total value sent to each bank": "computed using trans table" + } + } +} +*/ +SELECT +bank, +SUM(CASE WHEN type = 'VYDAJ' AND bank IS NOT NULL THEN amount ELSE 0 END) AS total_value_sent +FROM trans +GROUP BY bank +ORDER BY bank; +/* EXEC RESULT +bank total_value_sent +None 0 + AB 54216236 + CD 46529205 + EF 57432163 + GH 50644269 +... TRUNCATED ... + QR 56847691 + ST 55240450 + UV 50928129 + WX 52131057 + YZ 50581209 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/069/gold_csv/GQRY-A.0.csv b/tasks/readable/069/gold_csv/GQRY-A.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..9ed40436256e937d75b6b8e2d74a0239b859b9f0 --- /dev/null +++ b/tasks/readable/069/gold_csv/GQRY-A.0.csv @@ -0,0 +1,4 @@ +frequency,most_recent_status_update_date +POPLATEK MESICNE,1997-12-29 +POPLATEK PO OBRATU,1997-12-05 +POPLATEK TYDNE,1997-12-26 diff --git a/tasks/readable/069/gold_csv/GQRY-A.1.csv b/tasks/readable/069/gold_csv/GQRY-A.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..d343bfbe1cbe4483392daccafeee1e50b846a4e5 --- /dev/null +++ b/tasks/readable/069/gold_csv/GQRY-A.1.csv @@ -0,0 +1,4 @@ +frequency,most_recent_card_issued_date +POPLATEK MESICNE,1998-12-29 +POPLATEK PO OBRATU,1998-11-18 +POPLATEK TYDNE,1998-12-25 diff --git a/tasks/readable/069/gold_csv/GQRY-A.2.csv b/tasks/readable/069/gold_csv/GQRY-A.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..58c7bdb3f4355ec18b53c0d0eaf237075aac5d22 --- /dev/null +++ b/tasks/readable/069/gold_csv/GQRY-A.2.csv @@ -0,0 +1,4 @@ +frequency,most_recent_loan_date +POPLATEK MESICNE,1998-12-08 +POPLATEK PO OBRATU,1998-07-08 +POPLATEK TYDNE,1998-12-06 diff --git a/tasks/readable/069/gold_csv/GQRY-A.3.csv b/tasks/readable/069/gold_csv/GQRY-A.3.csv new file mode 100644 index 0000000000000000000000000000000000000000..21439b4b8f731053dbde82749890e743b1c29be8 --- /dev/null +++ b/tasks/readable/069/gold_csv/GQRY-A.3.csv @@ -0,0 +1,4 @@ +frequency,most_recent_transaction_date +POPLATEK MESICNE,1998-12-31 +POPLATEK PO OBRATU,1998-12-31 +POPLATEK TYDNE,1998-12-31 diff --git a/tasks/readable/069/gold_csv/GQRY-A.4.csv b/tasks/readable/069/gold_csv/GQRY-A.4.csv new file mode 100644 index 0000000000000000000000000000000000000000..21d65ff1119c500f5b1cc9a5e835537fa21be609 --- /dev/null +++ b/tasks/readable/069/gold_csv/GQRY-A.4.csv @@ -0,0 +1,4 @@ +frequency,most_recent_activity_date +POPLATEK MESICNE,1998-12-31 +POPLATEK PO OBRATU,1998-12-31 +POPLATEK TYDNE,1998-12-31 diff --git a/tasks/readable/069/task_readable.sql b/tasks/readable/069/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..db2037ca81b58ce26b442693961169c001ded140 --- /dev/null +++ b/tasks/readable/069/task_readable.sql @@ -0,0 +1,182 @@ +/* +{ + "qid": "069", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "financial", + "question": "For each account frequency category, show the most recent activity date.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "activity date", + "type": "finite", + "ambiguity_type": "semantic_table", + "interpretations": [ + "account creation date", + "card issued date", + "loan date", + "transaction date", + "any of account, loan, card, or transaction dates" + ], + "intended_interpretation_idx": 1 + } + ], + "gold_intended_query_id": "GQRY-A.1", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0` ----- +/* +{ + "id": "GQRY-A.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] activity date": "account creation date" + } + } +} +*/ +SELECT frequency, MAX(date) AS most_recent_status_update_date +FROM account +GROUP BY frequency; +/* EXEC RESULT + frequency most_recent_status_update_date + POPLATEK MESICNE 1997-12-29 +POPLATEK PO OBRATU 1997-12-05 + POPLATEK TYDNE 1997-12-26 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1` ----- +/* +{ + "id": "GQRY-A.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] activity date": "card issued date" + } + } +} +*/ +SELECT account.frequency, MAX(card.issued) AS most_recent_card_issued_date +FROM account +JOIN disp ON account.account_id = disp.account_id +JOIN card ON disp.disp_id = card.disp_id +GROUP BY account.frequency; +/* EXEC RESULT + frequency most_recent_card_issued_date + POPLATEK MESICNE 1998-12-29 +POPLATEK PO OBRATU 1998-11-18 + POPLATEK TYDNE 1998-12-25 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.2` ----- +/* +{ + "id": "GQRY-A.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] activity date": "loan date" + } + } +} +*/ +SELECT account.frequency, MAX(loan.date) AS most_recent_loan_date +FROM account +JOIN loan ON account.account_id = loan.account_id +GROUP BY account.frequency; +/* EXEC RESULT + frequency most_recent_loan_date + POPLATEK MESICNE 1998-12-08 +POPLATEK PO OBRATU 1998-07-08 + POPLATEK TYDNE 1998-12-06 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.3` ----- +/* +{ + "id": "GQRY-A.3", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] activity date": "transaction date" + } + } +} +*/ +SELECT account.frequency, MAX(trans.date) AS most_recent_transaction_date +FROM account +JOIN trans ON account.account_id = trans.account_id +GROUP BY account.frequency; +/* EXEC RESULT + frequency most_recent_transaction_date + POPLATEK MESICNE 1998-12-31 +POPLATEK PO OBRATU 1998-12-31 + POPLATEK TYDNE 1998-12-31 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.4` ----- +/* +{ + "id": "GQRY-A.4", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] activity date": "any of account, loan, card, or transaction dates" + } + } +} +*/ +SELECT +frequency, +MAX(date) AS most_recent_activity_date +FROM ( +SELECT frequency, date FROM account +UNION ALL +SELECT a.frequency, l.date AS date FROM account AS a JOIN loan AS l ON a.account_id = l.account_id +UNION ALL +SELECT a.frequency, c.issued AS date FROM account AS a JOIN disp AS d ON a.account_id = d.account_id JOIN card AS c ON d.disp_id = c.disp_id +UNION ALL +SELECT a.frequency, t.date AS date FROM account AS a JOIN trans AS t ON a.account_id = t.account_id +) +GROUP BY frequency; +/* EXEC RESULT + frequency most_recent_activity_date + POPLATEK MESICNE 1998-12-31 +POPLATEK PO OBRATU 1998-12-31 + POPLATEK TYDNE 1998-12-31 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/070/gold_csv/GQRY-B.0.csv b/tasks/readable/070/gold_csv/GQRY-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..f0f24fe777e24a2c2ffffcead4c9e918b7409190 --- /dev/null +++ b/tasks/readable/070/gold_csv/GQRY-B.0.csv @@ -0,0 +1,2 @@ +COUNT(*) +190 diff --git a/tasks/readable/070/gold_csv/GQRY-B.1.csv b/tasks/readable/070/gold_csv/GQRY-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..5d5e053f15c9a49b6640da757a92563b7a080f3c --- /dev/null +++ b/tasks/readable/070/gold_csv/GQRY-B.1.csv @@ -0,0 +1,2 @@ +COUNT(*) +95 diff --git a/tasks/readable/070/gold_csv/GQRY-B.2.csv b/tasks/readable/070/gold_csv/GQRY-B.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..0ff68b62745765817b8fc40b38ea4dde0b932936 --- /dev/null +++ b/tasks/readable/070/gold_csv/GQRY-B.2.csv @@ -0,0 +1,2 @@ +COUNT(*) +0 diff --git a/tasks/readable/070/task_readable.sql b/tasks/readable/070/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..ba8a5b2e9bf1a9e7a5f845ea984fb357ac9faaae --- /dev/null +++ b/tasks/readable/070/task_readable.sql @@ -0,0 +1,142 @@ +/* +{ + "qid": "070", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "financial", + "question": "What is the total number of weekly-fee accounts in districts with many large municipalities?", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "many", + "type": "infinite", + "ambiguity_type": "semantic_value", + "parameter_name": "municipality_threshold", + "parameter_dtype": "int", + "parameter_sample_operators": [ + ">", + ">=" + ], + "parameter_sample_values": [ + 8 + ], + "intended_parameter_operator": ">=", + "intended_parameter_value": 8 + }, + { + "id": "B", + "phrase": "large municipalities", + "type": "finite", + "ambiguity_type": "semantic_column", + "interpretations": [ + "municipalities with at least 500 inhabitants", + "municipalities with at least 2000 inhabitants", + "municipalities with at least 10000 inhabitants" + ], + "intended_interpretation_idx": 1 + } + ], + "gold_intended_query_id": "GQRY-B.1", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-B.0` ----- +/* +{ + "id": "GQRY-B.0", + "parameter_names": [ + "municipality_threshold" + ], + "parameter_values": { + "municipality_threshold": 8 + }, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] large municipalities": "municipalities with at least 500 inhabitants", + "[B] many": ":municipality_threshold" + } + } +} +*/ +SELECT COUNT(*) +FROM account a +JOIN district d ON a.district_id = d.district_id +WHERE CAST(d.A6 AS INTEGER) + CAST(d.A7 AS INTEGER) + CAST(d.A8 AS INTEGER) >= :municipality_threshold +AND a.frequency = 'POPLATEK TYDNE'; +/* EXEC RESULT + COUNT(*) + 190 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-B.1` ----- +/* +{ + "id": "GQRY-B.1", + "parameter_names": [ + "municipality_threshold" + ], + "parameter_values": { + "municipality_threshold": 8 + }, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] large municipalities": "municipalities with at least 2000 inhabitants", + "[B] many": ":municipality_threshold" + } + } +} +*/ +SELECT COUNT(*) +FROM account a +JOIN district d ON a.district_id = d.district_id +WHERE CAST(d.A7 AS INTEGER) + CAST(d.A8 AS INTEGER) >= :municipality_threshold +AND a.frequency = 'POPLATEK TYDNE'; +/* EXEC RESULT + COUNT(*) + 95 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-B.2` ----- +/* +{ + "id": "GQRY-B.2", + "parameter_names": [ + "municipality_threshold" + ], + "parameter_values": { + "municipality_threshold": 8 + }, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] large municipalities": "municipalities with at least 10000 inhabitants", + "[B] many": ":municipality_threshold" + } + } +} +*/ +SELECT COUNT(*) +FROM account a +JOIN district d ON a.district_id = d.district_id +WHERE CAST(d.A8 AS INTEGER) >= :municipality_threshold +AND a.frequency = 'POPLATEK TYDNE'; +/* EXEC RESULT + COUNT(*) + 0 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/071/gold_csv/GQRY-A.0.csv b/tasks/readable/071/gold_csv/GQRY-A.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..c1f9b0292c0b3077acde361a2b895578f41eefb9 --- /dev/null +++ b/tasks/readable/071/gold_csv/GQRY-A.0.csv @@ -0,0 +1,3 @@ +district_name,average_salary,urban_residents,entrepreneurs +Rokycany,8843,25416.984000000004,5165.682 +Jesenik,8173,20725.363999999998,5309.804 diff --git a/tasks/readable/071/gold_csv/GQRY-A.1.csv b/tasks/readable/071/gold_csv/GQRY-A.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..e1371e065c4d356313a403ff3eff244db69299b0 --- /dev/null +++ b/tasks/readable/071/gold_csv/GQRY-A.1.csv @@ -0,0 +1,2 @@ +district_name,average_salary,urban_residents,entrepreneurs +Jesenik,8173,20725.363999999998,5309.804 diff --git a/tasks/readable/071/task_readable.sql b/tasks/readable/071/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..fd1be36d64ffbf14f03adc082d2c0bfc094d0faf --- /dev/null +++ b/tasks/readable/071/task_readable.sql @@ -0,0 +1,95 @@ +/* +{ + "qid": "071", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "financial", + "question": "Show the district name and average salary for each district with the lowest number of urban residents and entrepreneurs.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "each district with the lowest number of urban residents and entrepreneurs", + "type": "finite", + "ambiguity_type": "syntactic_computation", + "interpretations": [ + "(each district with the lowest number of urban residents) and (each district with the lowest number of entrepreneurs)", + "each district with the (lowest combined total of urban residents and entrepreneurs)" + ], + "intended_interpretation_idx": 0 + } + ], + "gold_intended_query_id": "GQRY-A.0", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0` ----- +/* +{ + "id": "GQRY-A.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 0, + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] each district with the lowest number of urban residents and entrepreneurs": "(each district with the lowest number of urban residents) and (each district with the lowest number of entrepreneurs)" + } + } +} +*/ +SELECT +A2 AS district_name, +A11 AS average_salary, +CAST(A4 AS INTEGER) * (A10 / 100.0) AS urban_residents, +CAST(A4 AS INTEGER) * (A14 / 1000.0) AS entrepreneurs +FROM district +WHERE (CAST(A4 AS INTEGER) * (A10 / 100.0)) = (SELECT MIN(CAST(A4 AS INTEGER) * (A10 / 100.0)) FROM district) +OR (CAST(A4 AS INTEGER) * (A14 / 1000.0)) = (SELECT MIN(CAST(A4 AS INTEGER) * (A14 / 1000.0)) FROM district); +/* EXEC RESULT +district_name average_salary urban_residents entrepreneurs + Rokycany 8843 25416.984 5165.682 + Jesenik 8173 20725.364 5309.804 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1` ----- +/* +{ + "id": "GQRY-A.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 0, + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] each district with the lowest number of urban residents and entrepreneurs": "each district with the (lowest combined total of urban residents and entrepreneurs)" + } + } +} +*/ +SELECT +A2 AS district_name, +A11 AS average_salary, +CAST(A4 AS INTEGER) * (A10 / 100.0) AS urban_residents, +CAST(A4 AS INTEGER) * (A14 / 1000.0) AS entrepreneurs +FROM district +WHERE (CAST(A4 AS INTEGER) * (A10 / 100.0) + CAST(A4 AS INTEGER) * (A14 / 1000.0)) = ( +SELECT MIN(CAST(A4 AS INTEGER) * (A10 / 100.0) + CAST(A4 AS INTEGER) * (A14 / 1000.0)) FROM district +); +/* EXEC RESULT +district_name average_salary urban_residents entrepreneurs + Jesenik 8173 20725.364 5309.804 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/072/gold_csv/GQRY-B.0.csv b/tasks/readable/072/gold_csv/GQRY-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..e5e7306b8516348f8a2fe060fa536520af9618f3 --- /dev/null +++ b/tasks/readable/072/gold_csv/GQRY-B.0.csv @@ -0,0 +1,3 @@ +Id,Title,RelatedCount +91253,Best open source data visualization software to use with PowerPoint,13 +88290,Specific type of dummy regression,11 diff --git a/tasks/readable/072/gold_csv/GQRY-B.1.csv b/tasks/readable/072/gold_csv/GQRY-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..9093315d89cb35e051071b9ecb0205e3fbd9604e --- /dev/null +++ b/tasks/readable/072/gold_csv/GQRY-B.1.csv @@ -0,0 +1,102 @@ +Id,Title,RelatedCount +2492,Is normality testing 'essentially useless'?,94 +20836,Algorithms for automatic model selection,92 +20523,Difference between logit and probit models,57 +12262,"What if residuals are normally distributed, but y is not?",53 +4220,A Probability distribution value exceeding 1 is OK?,50 +2691,"Making sense of principal component analysis, eigenvectors & eigenvalues",43 +51718,Assessing approximate distribution of data based on a histogram,39 +13314,Is $R^2$ useful or dangerous?,36 +298,"In linear regression, when is it appropriate to use the log of an independent variable instead of the actual values?",34 +3466,Best practice when analysing pre-post treatment-control designs,33 +14500,How can a regression be significant yet all predictors be non-significant?,33 +31,What is the meaning of p values and t values in statistical tests?,32 +1444,How should I transform non-negative data including zeros?,28 +16921,How to understand degrees of freedom?,28 +29781,When should you center your data & when should you standardize?,28 +726,Famous statistician quotes,26 +22718,What is the difference between linear regression on y with x and x with y?,26 +1576,What are the differences between Factor Analysis and Principal Component Analysis,23 +5135,Interpretation of R's lm() output,23 +11009,Including the interaction but not the main effects in a model,23 +11109,How to deal with perfect separation in logistic regression?,22 +18480,Interpretation of log transformed predictor,22 +35940,Simulation of Logistic Regression Power Analysis - Designed Experiments,22 +3559,Which pseudo-$R^2$ measure is the one to report for logistic regression (Cox & Snell or Nagelkerke)?,21 +36152,Converting similarity matrix to (euclidean) distance matrix,21 +18112,How does the Goodman-Kruskal gamma test and the Kendall tau or Spearman rho test compare?,19 +20452,How to interpret type I (sequential) ANOVA and MANOVA?,19 +22501,Is there an intuitive interpretation of $A^TA$?,19 +24077,How to choose between ANOVA and ANCOVA in a designed experiment?,19 +577,Is there any reason to prefer the AIC or BIC over the other?,18 +2374,Factor analysis of questionnaires composed of Likert items,18 +26450,Why does a 95% CI not imply a 95% chance of containing the mean?,18 +28474,How can adding a 2nd IV make the 1st IV significant?,18 +10,Under what conditions should Likert scales be used as ordinal or interval data?,17 +213,What is the best way to identify outliers in multivariate data?,17 +3730,Pearson's or Spearman's correlation with non-normal data,17 +6067,Does an unbalanced sample matter when doing logistic regression?,17 +9131,Obtaining a formula for prediction limits in a linear model,17 +14483,Intuitive explanation for density of transformed variable?,17 +34636,Interpretation of simple predictions to odds ratios in logistic regression,17 +78828,Is there a difference between 'controlling for' and 'ignoring' other variables in multiple regression?,17 +6,The Two Cultures: statistics vs. machine learning?,16 +13086,Is there a boxplot variant for Poisson distributed data?,16 +13166,R's lmer cheat-sheet,16 +36212,What tests do I use to confirm that residuals are normally distributed?,16 +48786,Fisher discrimination power of a variable and Discriminant analysis. Algebra of LDA,16 +3734,What intuitive explanation is there for the central limit theorem?,15 +6652,"What, precisely, is a confidence interval?",15 +16381,What is a complete list of the usual assumptions for linear regression? ,15 +27750,Feature selection and cross-validation,15 +28730,Does it make sense to add a quadratic term but not the linear term to a model?,15 +30728,How small a quantity should be added to x to avoid taking the log of zero?,15 +32419,Difference between generalized linear models & generalized linear mixed models in SPSS,15 +1142,Simple algorithm for online outlier detection of a generic time series,14 +24720,Significance of coefficients in linear regression: significant t-test vs non-significant F-statistic,14 +31326,How should one interpret the comparison of means from different sample sizes?,14 +31366,Linear discriminant analysis and Bayes rule,14 +46185,Question on how to normalize regression coefficient,14 +58220,What distribution does my data follow?,14 +118,Why square the difference instead of taking the absolute value in standard deviation?,13 +423,"What is your favorite ""data analysis"" cartoon?",13 +7948,When is it ok to remove the intercept in lm()?,13 +11609,Clarification on interpreting confidence intervals?,13 +14226,"Given the power of computers these days, is there ever a reason to do a chi-squared test rather than Fisher's exact test?",13 +21282,Regression based for example on days of week,13 +30159,Is it possible to have a pair of Gaussian random variables for which the joint distribution is not Gaussian?,13 +85903,"Why do statisticians say a non-significant result means ""you can't reject the null"" as opposed to accepting the null hypothesis?",13 +138,Resources for learning R,12 +421,What book would you recommend for non-statistician scientists?,12 +2272,What's the difference between a confidence interval and a credible interval?,12 +2306,"Feature selection for ""final"" model when performing cross-validation in machine learning",12 +2516,Are large data sets inappropriate for hypothesis testing?,12 +2628,"Statistical inference when the sample ""is"" the population",12 +3539,Inter-rater reliability for ordinal or interval data,12 +3943,Kendall Tau or Spearman's rho?,12 +4551,What are common statistical sins?,12 +4756,Confidence interval for Bernoulli sampling,12 +6127,Which permutation test implementation in R to use instead of t-tests (paired and non-paired)?,12 +7977,How to generate uniformly distributed points on the surface of the 3-d unit sphere?,12 +9358,Creating an index of quality from multiple variables to enable rank ordering,12 +26176,Removal of statistically significant intercept term boosts $R^2$ in linear model,12 +27724,Do all interactions terms need their individual terms in regression model?,12 +35711,Box-Cox like transformation for independent variables?,12 +38856,"How to generate correlated random numbers (given means, variances and degree of correlation)?",12 +62677,"Covariance v. correlation based PCA, theoretical view",12 +539,Does it ever make sense to treat categorical data as continuous?,11 +2356,Are there any examples where Bayesian credible intervals are obviously inferior to frequentist confidence intervals,11 +5450,What if interaction wipes out my direct effects in regression?,11 +5747,"If A and B are correlated with C, why are A and B not necessarily correlated?",11 +9751,Do we need a global test before post hoc tests?,11 +11887,What an experimental design is this?,11 +15426,Whether to delete cases that are flagged as outliers by statistical software when performing multiple regression?,11 +16390,When to use generalized estimating equations vs. mixed effects models?,11 +18058,How would you explain covariance to someone who understands only the mean?,11 +24022,Why Levene test of equality of variances rather than F ratio?,11 +50537,Should one remove highly correlated variables before doing PCA?,11 +52089,"What does having ""constant variance"" in a linear regression model mean?",11 +60500,How to find a good fit for semi-sinusoidal model in R?,11 +67903,Does down-sampling change logistic regression coefficients?,11 +71260,What is the intuition behind conditional Gaussian distributions?,11 +91872,Alternatives to one-way ANOVA for heteroskedastic data,11 diff --git a/tasks/readable/072/gold_csv/GQRY-B.2.csv b/tasks/readable/072/gold_csv/GQRY-B.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..00e72a77df0cef20c765b052d78809aa92647409 --- /dev/null +++ b/tasks/readable/072/gold_csv/GQRY-B.2.csv @@ -0,0 +1,126 @@ +Id,Title,RelatedCount +2492,Is normality testing 'essentially useless'?,96 +20836,Algorithms for automatic model selection,92 +20523,Difference between logit and probit models,57 +12262,"What if residuals are normally distributed, but y is not?",54 +4220,A Probability distribution value exceeding 1 is OK?,50 +2691,"Making sense of principal component analysis, eigenvectors & eigenvalues",47 +51718,Assessing approximate distribution of data based on a histogram,39 +13314,Is $R^2$ useful or dangerous?,37 +298,"In linear regression, when is it appropriate to use the log of an independent variable instead of the actual values?",35 +3466,Best practice when analysing pre-post treatment-control designs,35 +14500,How can a regression be significant yet all predictors be non-significant?,33 +31,What is the meaning of p values and t values in statistical tests?,32 +29781,When should you center your data & when should you standardize?,31 +1444,How should I transform non-negative data including zeros?,28 +16921,How to understand degrees of freedom?,28 +22718,What is the difference between linear regression on y with x and x with y?,28 +35940,Simulation of Logistic Regression Power Analysis - Designed Experiments,28 +726,Famous statistician quotes,27 +1576,What are the differences between Factor Analysis and Principal Component Analysis,26 +11009,Including the interaction but not the main effects in a model,24 +5135,Interpretation of R's lm() output,23 +11109,How to deal with perfect separation in logistic regression?,23 +28474,How can adding a 2nd IV make the 1st IV significant?,23 +18480,Interpretation of log transformed predictor,22 +36152,Converting similarity matrix to (euclidean) distance matrix,22 +3559,Which pseudo-$R^2$ measure is the one to report for logistic regression (Cox & Snell or Nagelkerke)?,21 +28730,Does it make sense to add a quadratic term but not the linear term to a model?,21 +18112,How does the Goodman-Kruskal gamma test and the Kendall tau or Spearman rho test compare?,20 +22501,Is there an intuitive interpretation of $A^TA$?,20 +2374,Factor analysis of questionnaires composed of Likert items,19 +20452,How to interpret type I (sequential) ANOVA and MANOVA?,19 +24077,How to choose between ANOVA and ANCOVA in a designed experiment?,19 +26450,Why does a 95% CI not imply a 95% chance of containing the mean?,19 +36212,What tests do I use to confirm that residuals are normally distributed?,19 +48786,Fisher discrimination power of a variable and Discriminant analysis. Algebra of LDA,19 +78828,Is there a difference between 'controlling for' and 'ignoring' other variables in multiple regression?,19 +577,Is there any reason to prefer the AIC or BIC over the other?,18 +6652,"What, precisely, is a confidence interval?",18 +34636,Interpretation of simple predictions to odds ratios in logistic regression,18 +10,Under what conditions should Likert scales be used as ordinal or interval data?,17 +213,What is the best way to identify outliers in multivariate data?,17 +3730,Pearson's or Spearman's correlation with non-normal data,17 +6067,Does an unbalanced sample matter when doing logistic regression?,17 +9131,Obtaining a formula for prediction limits in a linear model,17 +11609,Clarification on interpreting confidence intervals?,17 +13086,Is there a boxplot variant for Poisson distributed data?,17 +14483,Intuitive explanation for density of transformed variable?,17 +16381,What is a complete list of the usual assumptions for linear regression? ,17 +30728,How small a quantity should be added to x to avoid taking the log of zero?,17 +32419,Difference between generalized linear models & generalized linear mixed models in SPSS,17 +6,The Two Cultures: statistics vs. machine learning?,16 +3734,What intuitive explanation is there for the central limit theorem?,16 +13166,R's lmer cheat-sheet,16 +29731,Regression when the OLS residuals are not normally distributed,16 +61217,Transforming variables for multiple regression in R,16 +24720,Significance of coefficients in linear regression: significant t-test vs non-significant F-statistic,15 +27750,Feature selection and cross-validation,15 +58220,What distribution does my data follow?,15 +60410,Normality of dependent variable = normality of residuals?,15 +118,Why square the difference instead of taking the absolute value in standard deviation?,14 +421,What book would you recommend for non-statistician scientists?,14 +423,"What is your favorite ""data analysis"" cartoon?",14 +1142,Simple algorithm for online outlier detection of a generic time series,14 +4551,What are common statistical sins?,14 +7948,When is it ok to remove the intercept in lm()?,14 +14226,"Given the power of computers these days, is there ever a reason to do a chi-squared test rather than Fisher's exact test?",14 +21282,Regression based for example on days of week,14 +30159,Is it possible to have a pair of Gaussian random variables for which the joint distribution is not Gaussian?,14 +31326,How should one interpret the comparison of means from different sample sizes?,14 +31366,Linear discriminant analysis and Bayes rule,14 +46185,Question on how to normalize regression coefficient,14 +62677,"Covariance v. correlation based PCA, theoretical view",14 +83512,Regression testing after dimension reduction,14 +91253,Best open source data visualization software to use with PowerPoint,14 +138,Resources for learning R,13 +2272,What's the difference between a confidence interval and a credible interval?,13 +2356,Are there any examples where Bayesian credible intervals are obviously inferior to frequentist confidence intervals,13 +3038,How to test hypothesis of no group differences?,13 +3943,Kendall Tau or Spearman's rho?,13 +5450,What if interaction wipes out my direct effects in regression?,13 +26176,Removal of statistically significant intercept term boosts $R^2$ in linear model,13 +27724,Do all interactions terms need their individual terms in regression model?,13 +33433,Linear regression prediction interval,13 +35711,Box-Cox like transformation for independent variables?,13 +52089,"What does having ""constant variance"" in a linear regression model mean?",13 +85903,"Why do statisticians say a non-significant result means ""you can't reject the null"" as opposed to accepting the null hypothesis?",13 +102882,Steps done in factor analysis compared to steps done in PCA,13 +2306,"Feature selection for ""final"" model when performing cross-validation in machine learning",12 +2516,Are large data sets inappropriate for hypothesis testing?,12 +2628,"Statistical inference when the sample ""is"" the population",12 +3539,Inter-rater reliability for ordinal or interval data,12 +4756,Confidence interval for Bernoulli sampling,12 +6127,Which permutation test implementation in R to use instead of t-tests (paired and non-paired)?,12 +6350,ANOVA assumption normality/normal distribution of residuals,12 +7977,How to generate uniformly distributed points on the surface of the 3-d unit sphere?,12 +8071,How to choose between Pearson and Spearman correlation?,12 +9358,Creating an index of quality from multiple variables to enable rank ordering,12 +18058,How would you explain covariance to someone who understands only the mean?,12 +24022,Why Levene test of equality of variances rather than F ratio?,12 +33059,Testing for moderation with continuous vs. categorical moderators,12 +37993,Is there a minimum sample size required for the t-test to be valid?,12 +38856,"How to generate correlated random numbers (given means, variances and degree of correlation)?",12 +71260,What is the intuition behind conditional Gaussian distributions?,12 +88290,Specific type of dummy regression,12 +50,"What is meant by a ""random variable""?",11 +539,Does it ever make sense to treat categorical data as continuous?,11 +5747,"If A and B are correlated with C, why are A and B not necessarily correlated?",11 +5750,Look and you shall find (a correlation),11 +7134,Accommodating entrenched views of p-values,11 +9751,Do we need a global test before post hoc tests?,11 +11887,What an experimental design is this?,11 +15426,Whether to delete cases that are flagged as outliers by statistical software when performing multiple regression?,11 +16390,When to use generalized estimating equations vs. mixed effects models?,11 +18603,How can I calculate margin of error in a NPS (Net Promoter Score) result?,11 +23142,When to use Fisher and Neyman-Pearson framework?,11 +33547,How does the standard error work?,11 +47771,What is the intuition behind beta distribution?,11 +50537,Should one remove highly correlated variables before doing PCA?,11 +54724,Kolmogorov Smirnov conflicts with visual data,11 +60500,How to find a good fit for semi-sinusoidal model in R?,11 +67204,What exactly does a non-parametric test accomplish & What do you do with the results?,11 +67903,Does down-sampling change logistic regression coefficients?,11 +70899,What correlation makes a matrix singular and what are implications of singularity or near-singularity?,11 +73869,Suppression effect in regression: definition and visual explanation/depiction,11 +91872,Alternatives to one-way ANOVA for heteroskedastic data,11 diff --git a/tasks/readable/072/task_readable.sql b/tasks/readable/072/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..f252c384a427ee6c1804cf34708f830da294b574 --- /dev/null +++ b/tasks/readable/072/task_readable.sql @@ -0,0 +1,174 @@ +/* +{ + "qid": "072", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "codebase_community", + "question": "Find posts with many related posts.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "many", + "type": "infinite", + "ambiguity_type": "semantic_value", + "parameter_name": "count_threshold", + "parameter_dtype": "int", + "parameter_sample_operators": [ + ">", + ">=" + ], + "parameter_sample_values": [ + 10 + ], + "intended_parameter_operator": ">", + "intended_parameter_value": 10 + }, + { + "id": "B", + "phrase": "related posts", + "type": "finite", + "ambiguity_type": "semantic_computation", + "interpretations": [ + "couont only outgoing links", + "count only incoming links", + "count both directions" + ], + "intended_interpretation_idx": 2 + } + ], + "gold_intended_query_id": "GQRY-B.2", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-B.0` ----- +/* +{ + "id": "GQRY-B.0", + "parameter_names": [ + "count_threshold" + ], + "parameter_values": { + "count_threshold": 10 + }, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] related posts": "couont only outgoing links", + "[B] many": ":count_threshold" + } + } +} +*/ +SELECT p.Id, p.Title, COUNT(DISTINCT pl.RelatedPostId) AS RelatedCount +FROM posts p +JOIN postLinks pl ON p.Id = pl.PostId +GROUP BY p.Id, p.Title +HAVING COUNT(DISTINCT pl.RelatedPostId) > :count_threshold +ORDER BY RelatedCount DESC; +/* EXEC RESULT + Id Title RelatedCount +91253 Best open source data visualization software to use with PowerPoint 13 +88290 Specific type of dummy regression 11 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-B.1` ----- +/* +{ + "id": "GQRY-B.1", + "parameter_names": [ + "count_threshold" + ], + "parameter_values": { + "count_threshold": 10 + }, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] related posts": "count only incoming links", + "[B] many": ":count_threshold" + } + } +} +*/ +SELECT p.Id, p.Title, COUNT(DISTINCT pl.PostId) AS RelatedCount +FROM posts p +JOIN postLinks pl ON p.Id = pl.RelatedPostId +GROUP BY p.Id, p.Title +HAVING COUNT(DISTINCT pl.PostId) > :count_threshold +ORDER BY RelatedCount DESC; +/* EXEC RESULT + Id Title RelatedCount + 2492 Is normality testing 'essentially useless'? 94 +20836 Algorithms for automatic model selection 92 +20523 Difference between logit and probit models 57 +12262 What if residuals are normally distributed, but y is not? 53 + 4220 A Probability distribution value exceeding 1 is OK? 50 +... TRUNCATED ... +52089 What does having "constant variance" in a linear regression model mean? 11 +60500 How to find a good fit for semi-sinusoidal model in R? 11 +67903 Does down-sampling change logistic regression coefficients? 11 +71260 What is the intuition behind conditional Gaussian distributions? 11 +91872 Alternatives to one-way ANOVA for heteroskedastic data 11 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-B.2` ----- +/* +{ + "id": "GQRY-B.2", + "parameter_names": [ + "count_threshold" + ], + "parameter_values": { + "count_threshold": 10 + }, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] related posts": "count both directions", + "[B] many": ":count_threshold" + } + } +} +*/ +SELECT p.Id, +p.Title, +COUNT(DISTINCT rel.RelatedRef) AS RelatedCount +FROM posts p +JOIN ( +SELECT PostId AS PostRef, RelatedPostId AS RelatedRef +FROM postLinks +UNION ALL +SELECT RelatedPostId AS PostRef, PostId AS RelatedRef +FROM postLinks +) rel ON p.Id = rel.PostRef +GROUP BY p.Id, p.Title +HAVING COUNT(DISTINCT rel.RelatedRef) > :count_threshold +ORDER BY RelatedCount DESC; +/* EXEC RESULT + Id Title RelatedCount + 2492 Is normality testing 'essentially useless'? 96 +20836 Algorithms for automatic model selection 92 +20523 Difference between logit and probit models 57 +12262 What if residuals are normally distributed, but y is not? 54 + 4220 A Probability distribution value exceeding 1 is OK? 50 +... TRUNCATED ... +67204 What exactly does a non-parametric test accomplish & What do you do with the results? 11 +67903 Does down-sampling change logistic regression coefficients? 11 +70899 What correlation makes a matrix singular and what are implications of singularity or near-singularity? 11 +73869 Suppression effect in regression: definition and visual explanation/depiction 11 +91872 Alternatives to one-way ANOVA for heteroskedastic data 11 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/073/gold_csv/GQRY-A.0.csv b/tasks/readable/073/gold_csv/GQRY-A.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..ea5dfde55c1d6b62ccf64a173412d51bd7800d1a --- /dev/null +++ b/tasks/readable/073/gold_csv/GQRY-A.0.csv @@ -0,0 +1,17 @@ +CommentId,CommentText +2471,"Although I didn't ask the question, I think it would be great to have some basic literature with the answers. Please." +2472,@Henrik: You want basic literature on neural networks? You might consider posting another question? +2677,Do you really need NN? This method is rather considered obsolete (partially because it is very hard to generally answer your questions). +5257,"Hey @Jonathan; machine learning is on-topic here (in fact, the machine learning proposal was merged with this one): http://meta.stats.stackexchange.com/questions/492/are-the-machine-learning-questions-on-topic" +5258,"thanks Shane, wasn't clear on that" +8052,"NN is rather an obsolete technology, so I'm afraid you won't get an answer because no one here is using them..." +8091,"@mbq: I do not doubt your words, but how do you come to the conclusion that NN are ""obsolete technology""?" +8148,"@steffen By observation; I mean it is obvious that no one significant from NN community will come out and say ""Hey guys, let's drop our life work and play with something better!"", but we have tools that achieve same or better accuracy without all this ambivalence and never-ending training. And people do drop NN in favor of them." +19504,Did you have any success in finding an implementation? +101099,"This had some truth when you said it, @mbq , but not anymore." +101259,"@jerad I presume you mean this ""deep learning""? True, it got enough buzz to prolong that, but it fixes none of the NN problems I mentioned -- DNNs still learn for ages and have unmanageable amount of parameters and variants. About accuracy, I haven't seen any meaningful comparisons -- some blending is always a good idea, but my general intuition is that usually the set noise has way greater impact than all method selections, and thus one should rather focus on robustness than peak accuracy." +101478,"Yes i was referring to all the NN research which has been cleverly rebranded as 'deep belief networks,' @mbq. I agree with your criticisms, but it's hard to argue with the state of the art performance they've achieved recently in one task after the next, like computer vision, speech recognition, and a recent Kaggle competition. Not to mention google now uses ""deep nets"" for their speech recognition. They're still opaque and require an element of black magic to get them working, but it's clear that they work." +101808,"@jerad Pretty easy -- I simply haven't yet seen any fair comparison with other methods (Kaggle is not a fair comparison because of the lack of confidence intervals for accuracies -- especially when the results of all high-scoring teams are so close as in the Merck contest), neither any analysis of robustness of parameter optimisation -- which is way worse." +153832,"@mbq: maybe this should be a separate question, but could you expand on your statement that Neural Networks are considered obsolete? (and by whom?)" +153843,@naught101 This is a comment from 2010... Nowadays we sadly have a renaissance of this madness so we will have to wait few years so that NNs will become obsolete again (; +153844,@mbq: that doesn't answer my question. But perhaps this does: http://stackoverflow.com/questions/683124/neural-networks-obsolete diff --git a/tasks/readable/073/gold_csv/GQRY-A.1.csv b/tasks/readable/073/gold_csv/GQRY-A.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..482524305b9726049cc56ed02c3d14ef412baebd --- /dev/null +++ b/tasks/readable/073/gold_csv/GQRY-A.1.csv @@ -0,0 +1,9 @@ +CommentId,CommentText +2471,"Although I didn't ask the question, I think it would be great to have some basic literature with the answers. Please." +2472,@Henrik: You want basic literature on neural networks? You might consider posting another question? +2677,Do you really need NN? This method is rather considered obsolete (partially because it is very hard to generally answer your questions). +5257,"Hey @Jonathan; machine learning is on-topic here (in fact, the machine learning proposal was merged with this one): http://meta.stats.stackexchange.com/questions/492/are-the-machine-learning-questions-on-topic" +5258,"thanks Shane, wasn't clear on that" +8052,"NN is rather an obsolete technology, so I'm afraid you won't get an answer because no one here is using them..." +8091,"@mbq: I do not doubt your words, but how do you come to the conclusion that NN are ""obsolete technology""?" +8148,"@steffen By observation; I mean it is obvious that no one significant from NN community will come out and say ""Hey guys, let's drop our life work and play with something better!"", but we have tools that achieve same or better accuracy without all this ambivalence and never-ending training. And people do drop NN in favor of them." diff --git a/tasks/readable/073/task_readable.sql b/tasks/readable/073/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..1a522064adf2262a24831698ef4e3a08318a0a35 --- /dev/null +++ b/tasks/readable/073/task_readable.sql @@ -0,0 +1,102 @@ +/* +{ + "qid": "073", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "codebase_community", + "question": "Display all comments in posts tagged with 'neural-networks' created in 2010.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "created in 2010", + "type": "finite", + "ambiguity_type": "syntactic_table", + "interpretations": [ + "posts created in 2010", + "comments created in 2010" + ], + "intended_interpretation_idx": 0 + } + ], + "gold_intended_query_id": "GQRY-A.0", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0` ----- +/* +{ + "id": "GQRY-A.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] created in 2010": "posts created in 2010" + } + } +} +*/ +SELECT DISTINCT c.Id AS CommentId, c.Text AS CommentText +FROM comments c +JOIN posts p ON c.PostId = p.Id +WHERE p.Tags LIKE '%%' +AND strftime('%Y', p.CreaionDate) = '2010'; +/* EXEC RESULT + CommentId CommentText + 2471 Although I didn't ask the question, I think it would be great to have some basic literature with the answers. Please. + 2472 @Henrik: You want basic literature on neural networks? You might consider posting another question? + 2677 Do you really need NN? This method is rather considered obsolete (partially because it is very hard to generally answer your questions). + 5257 Hey @Jonathan; machine learning is on-topic here (in fact, the machine learning proposal was merged with this one): http://meta.stats.stackexchange.com/questions/492/are-the-machine-learning-questions-on-topic + 5258 thanks Shane, wasn't clear on that +... TRUNCATED ... + 101478 Yes i was referring to all the NN research which has been cleverly rebranded as 'deep belief networks,' @mbq. I agree with your criticisms, but it's hard to argue with the state of the art performance they've achieved recently in one task after the next, like computer vision, speech recognition, and a recent Kaggle competition. Not to mention google now uses "deep nets" for their speech recognition. They're still opaque and require an element of black magic to get them working, but it's clear that they work. + 101808 @jerad Pretty easy -- I simply haven't yet seen any fair comparison with other methods (Kaggle is not a fair comparison because of the lack of confidence intervals for accuracies -- especially when the results of all high-scoring teams are so close as in the Merck contest), neither any analysis of robustness of parameter optimisation -- which is way worse. + 153832 @mbq: maybe this should be a separate question, but could you expand on your statement that Neural Networks are considered obsolete? (and by whom?) + 153843 @naught101 This is a comment from 2010... Nowadays we sadly have a renaissance of this madness so we will have to wait few years so that NNs will become obsolete again (; + 153844 @mbq: that doesn't answer my question. But perhaps this does: http://stackoverflow.com/questions/683124/neural-networks-obsolete +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1` ----- +/* +{ + "id": "GQRY-A.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] created in 2010": "comments created in 2010" + } + } +} +*/ +SELECT DISTINCT c.Id AS CommentId, c.Text AS CommentText +FROM comments c +JOIN posts p ON c.PostId = p.Id +WHERE p.Tags LIKE '%%' +AND strftime('%Y', c.CreationDate) = '2010'; +/* EXEC RESULT + CommentId CommentText + 2471 Although I didn't ask the question, I think it would be great to have some basic literature with the answers. Please. + 2472 @Henrik: You want basic literature on neural networks? You might consider posting another question? + 2677 Do you really need NN? This method is rather considered obsolete (partially because it is very hard to generally answer your questions). + 5257 Hey @Jonathan; machine learning is on-topic here (in fact, the machine learning proposal was merged with this one): http://meta.stats.stackexchange.com/questions/492/are-the-machine-learning-questions-on-topic + 5258 thanks Shane, wasn't clear on that + 8052 NN is rather an obsolete technology, so I'm afraid you won't get an answer because no one here is using them... + 8091 @mbq: I do not doubt your words, but how do you come to the conclusion that NN are "obsolete technology"? + 8148 @steffen By observation; I mean it is obvious that no one significant from NN community will come out and say "Hey guys, let's drop our life work and play with something better!", but we have tools that achieve same or better accuracy without all this ambivalence and never-ending training. And people do drop NN in favor of them. +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/074/gold_csv/GQRY.csv b/tasks/readable/074/gold_csv/GQRY.csv new file mode 100644 index 0000000000000000000000000000000000000000..190eda3926acbb3b1493bca67da30cb6ce6d28f3 --- /dev/null +++ b/tasks/readable/074/gold_csv/GQRY.csv @@ -0,0 +1,13 @@ +UserId,DisplayName,BadgeCount +159,Rob Hyndman,22 +5,Shane,19 +183,Jeromy Anglim,18 +223,robin girard,16 +8,csgillespie,14 +190,Peter Smit,14 +930,chl,14 +795,shabbychef,13 +71,Matt Parker,12 +196,rpierce,12 +251,ars,12 +253,Tal Galili,12 diff --git a/tasks/readable/074/task_readable.sql b/tasks/readable/074/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..c29b2d59c4c7c00063b1d9f281d52a5352ad02dd --- /dev/null +++ b/tasks/readable/074/task_readable.sql @@ -0,0 +1,77 @@ +/* +{ + "qid": "074", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "codebase_community", + "question": "List users who have received a significant number of badges from July 20 to September 20 in 2010.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "significant number", + "type": "infinite", + "ambiguity_type": "semantic_value", + "parameter_name": "badge_count_threshold", + "parameter_dtype": "int", + "parameter_sample_operators": [ + ">", + ">=" + ], + "parameter_sample_values": [ + 12 + ], + "intended_parameter_operator": ">=", + "intended_parameter_value": 12 + } + ], + "gold_intended_query_id": "GQRY", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY` ----- +/* +{ + "id": "GQRY", + "parameter_names": [ + "badge_count_threshold" + ], + "parameter_values": { + "badge_count_threshold": 12 + }, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] significant number": ":badge_count_threshold" + } + } +} +*/ +SELECT u.Id AS UserId, u.DisplayName, COUNT(DISTINCT b.Id) AS BadgeCount +FROM users u +JOIN badges b ON u.Id = b.UserId +WHERE DATE(b.Date) BETWEEN '2010-07-20' AND '2010-09-20' +GROUP BY u.Id, u.DisplayName +HAVING COUNT(DISTINCT b.Id) >= :badge_count_threshold +ORDER BY BadgeCount DESC; +/* EXEC RESULT + UserId DisplayName BadgeCount + 159 Rob Hyndman 22 + 5 Shane 19 + 183 Jeromy Anglim 18 + 223 robin girard 16 + 8 csgillespie 14 +... TRUNCATED ... + 795 shabbychef 13 + 71 Matt Parker 12 + 196 rpierce 12 + 251 ars 12 + 253 Tal Galili 12 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/075/gold_csv/GQRY-A.0.csv b/tasks/readable/075/gold_csv/GQRY-A.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..908dcf431504e9a4272d3faf7e739e0575fe5a3b --- /dev/null +++ b/tasks/readable/075/gold_csv/GQRY-A.0.csv @@ -0,0 +1,30 @@ +UserId,DisplayName,TotalProfileViews +83,c4il,64 +126,SnippyHolloW,1 +2280,kohske,14 +3146,Sukotto,0 +5503,Darren Cook,63 +11172,trembl,0 +12212,Morris Cornell-Morgan,1 +12324,errorterm,2 +12738,Dave,5 +18191,Dominic Cooney,0 +21662,jolly-san,0 +23892,Tetsuo,1 +25284,liyang,0 +25286,buecking,0 +25723,yutakashino,0 +25953,blakerson,0 +27698,Matt Wolf,20 +29368,Eric Platon,0 +30387,Pavel,2 +30873,Wanasit Tanakitrungruang,0 +30917,mwjohnson,3 +31003,Tiago,3 +34811,ywat,10 +38274,Plumenator,9 +43814,user43814,0 +45829,tomohitoy,0 +52769,James,0 +54130,user3015703,0 +55401,masa charlie,0 diff --git a/tasks/readable/075/gold_csv/GQRY-A.1.csv b/tasks/readable/075/gold_csv/GQRY-A.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..08c9e5f22ba3f6d2fca2e8bf36c1d359d4b934db --- /dev/null +++ b/tasks/readable/075/gold_csv/GQRY-A.1.csv @@ -0,0 +1,30 @@ +UserId,DisplayName,TotalAuthoredPostViews +83,c4il,39118 +126,SnippyHolloW,0 +2280,kohske,0 +3146,Sukotto,0 +5503,Darren Cook,3038 +11172,trembl,0 +12212,Morris Cornell-Morgan,0 +12324,errorterm,857 +12738,Dave,246 +18191,Dominic Cooney,0 +21662,jolly-san,0 +23892,Tetsuo,156 +25284,liyang,0 +25286,buecking,0 +25723,yutakashino,0 +25953,blakerson,0 +27698,Matt Wolf,335 +29368,Eric Platon,0 +30387,Pavel,83 +30873,Wanasit Tanakitrungruang,0 +30917,mwjohnson,0 +31003,Tiago,108 +34811,ywat,175 +38274,Plumenator,135 +43814,user43814,0 +45829,tomohitoy,0 +52769,James,0 +54130,user3015703,43 +55401,masa charlie,0 diff --git a/tasks/readable/075/gold_csv/GQRY-A.2.csv b/tasks/readable/075/gold_csv/GQRY-A.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..e289d05536007c3215e1d5eb6e3c4ad5a92dac2d --- /dev/null +++ b/tasks/readable/075/gold_csv/GQRY-A.2.csv @@ -0,0 +1,30 @@ +UserId,DisplayName,TotalAuthoredOrEditedPostViews +83,c4il,195590 +126,SnippyHolloW,0 +2280,kohske,0 +3146,Sukotto,0 +5503,Darren Cook,14907 +11172,trembl,0 +12212,Morris Cornell-Morgan,0 +12324,errorterm,3428 +12738,Dave,1476 +18191,Dominic Cooney,0 +21662,jolly-san,0 +23892,Tetsuo,624 +25284,liyang,0 +25286,buecking,0 +25723,yutakashino,0 +25953,blakerson,0 +27698,Matt Wolf,1675 +29368,Eric Platon,0 +30387,Pavel,332 +30873,Wanasit Tanakitrungruang,0 +30917,mwjohnson,519 +31003,Tiago,540 +34811,ywat,818 +38274,Plumenator,810 +43814,user43814,0 +45829,tomohitoy,0 +52769,James,0 +54130,user3015703,172 +55401,masa charlie,0 diff --git a/tasks/readable/075/task_readable.sql b/tasks/readable/075/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..316cecd80852d033cb9ecacb4c85a209188a1b8e --- /dev/null +++ b/tasks/readable/075/task_readable.sql @@ -0,0 +1,173 @@ +/* +{ + "qid": "075", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "codebase_community", + "question": "List all users in Tokyo and show total views for each of them.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "total views", + "type": "finite", + "ambiguity_type": "semantic_computation", + "interpretations": [ + "total profile views", + "total views for authored posts", + "total views for authored or edited posts" + ], + "intended_interpretation_idx": 0 + } + ], + "gold_intended_query_id": "GQRY-A.0", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0` ----- +/* +{ + "id": "GQRY-A.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] total views": "total profile views" + } + } +} +*/ +SELECT u.Id AS UserId, u.DisplayName, u.Views AS TotalProfileViews +FROM users u +WHERE u.Location LIKE '%Tokyo%' +ORDER BY u.Id; +/* EXEC RESULT + UserId DisplayName TotalProfileViews + 83 c4il 64 + 126 SnippyHolloW 1 + 2280 kohske 14 + 3146 Sukotto 0 + 5503 Darren Cook 63 +... TRUNCATED ... + 43814 user43814 0 + 45829 tomohitoy 0 + 52769 James 0 + 54130 user3015703 0 + 55401 masa charlie 0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1` ----- +/* +{ + "id": "GQRY-A.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] total views": "total views for authored posts" + } + } +} +*/ +WITH user_authored_post_views AS ( +SELECT OwnerUserId AS UserId, SUM(ViewCount) AS TotalViews +FROM posts +WHERE OwnerUserId IS NOT NULL +GROUP BY OwnerUserId +) +SELECT +u.Id AS UserId, +u.DisplayName, +COALESCE(uapv.TotalViews, 0) AS TotalAuthoredPostViews +FROM users u +LEFT JOIN user_authored_post_views uapv ON u.Id = uapv.UserId +WHERE u.Location LIKE '%Tokyo%' +ORDER BY u.Id; +/* EXEC RESULT + UserId DisplayName TotalAuthoredPostViews + 83 c4il 39118 + 126 SnippyHolloW 0 + 2280 kohske 0 + 3146 Sukotto 0 + 5503 Darren Cook 3038 +... TRUNCATED ... + 43814 user43814 0 + 45829 tomohitoy 0 + 52769 James 0 + 54130 user3015703 43 + 55401 masa charlie 0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.2` ----- +/* +{ + "id": "GQRY-A.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] total views": "total views for authored or edited posts" + } + } +} +*/ +WITH user_authored_post_views AS ( +SELECT OwnerUserId AS UserId, SUM(ViewCount) AS TotalViews +FROM posts +WHERE OwnerUserId IS NOT NULL +GROUP BY OwnerUserId +), +user_edited_post_views AS ( +SELECT ph.UserId, COALESCE(SUM(p.ViewCount), 0) AS TotalViews +FROM postHistory ph +JOIN posts p ON ph.PostId = p.Id +GROUP BY ph.UserId +) +SELECT +u.Id AS UserId, +u.DisplayName, +COALESCE(uapv.TotalViews, 0) + COALESCE(uepv.TotalViews, 0) AS TotalAuthoredOrEditedPostViews +FROM users u +LEFT JOIN user_authored_post_views uapv ON u.Id = uapv.UserId +LEFT JOIN user_edited_post_views uepv ON u.Id = uepv.UserId +WHERE u.Location LIKE '%Tokyo%' +ORDER BY u.Id; +/* EXEC RESULT + UserId DisplayName TotalAuthoredOrEditedPostViews + 83 c4il 195590 + 126 SnippyHolloW 0 + 2280 kohske 0 + 3146 Sukotto 0 + 5503 Darren Cook 14907 +... TRUNCATED ... + 43814 user43814 0 + 45829 tomohitoy 0 + 52769 James 0 + 54130 user3015703 172 + 55401 masa charlie 0 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/076/gold_csv/GQRY-B.0-C.0.csv b/tasks/readable/076/gold_csv/GQRY-B.0-C.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..2ef8258803da26ad9e138333a70fdd4116d0de09 --- /dev/null +++ b/tasks/readable/076/gold_csv/GQRY-B.0-C.0.csv @@ -0,0 +1,2 @@ +COUNT(DISTINCT OwnerUserId) +13258 diff --git a/tasks/readable/076/gold_csv/GQRY-B.0-C.1.csv b/tasks/readable/076/gold_csv/GQRY-B.0-C.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..4c513d416d78b662f91bbaf492ee828955793982 --- /dev/null +++ b/tasks/readable/076/gold_csv/GQRY-B.0-C.1.csv @@ -0,0 +1,2 @@ +COUNT(DISTINCT UserId) +13345 diff --git a/tasks/readable/076/gold_csv/GQRY-B.1-C.0.csv b/tasks/readable/076/gold_csv/GQRY-B.1-C.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..16480196877f5bb200cd79692c706ead8693aeff --- /dev/null +++ b/tasks/readable/076/gold_csv/GQRY-B.1-C.0.csv @@ -0,0 +1,2 @@ +COUNT(DISTINCT OwnerUserId) +21426 diff --git a/tasks/readable/076/gold_csv/GQRY-B.1-C.1.csv b/tasks/readable/076/gold_csv/GQRY-B.1-C.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..ad361231dbcd6efa079980a6d0e8247697f7fe77 --- /dev/null +++ b/tasks/readable/076/gold_csv/GQRY-B.1-C.1.csv @@ -0,0 +1,2 @@ +COUNT(DISTINCT UserId) +21562 diff --git a/tasks/readable/076/task_readable.sql b/tasks/readable/076/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..297407862fb3dd133c93e35c535107ceff6c9f41 --- /dev/null +++ b/tasks/readable/076/task_readable.sql @@ -0,0 +1,227 @@ +/* +{ + "qid": "076", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "codebase_community", + "question": "How many users have received mostly positive scores for posts they contributed?", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "mostly", + "type": "infinite", + "ambiguity_type": "semantic_value", + "parameter_name": "percentage_threshold", + "parameter_dtype": "float", + "parameter_sample_operators": [ + ">", + ">=" + ], + "parameter_sample_values": [ + 0.8 + ], + "intended_parameter_operator": ">=", + "intended_parameter_value": 0.8 + }, + { + "id": "B", + "phrase": "positive scores", + "type": "finite", + "ambiguity_type": "semantic_table", + "interpretations": [ + "zero score as positive", + "zero score as negative" + ], + "intended_interpretation_idx": 1 + }, + { + "id": "C", + "phrase": "posts they contributed", + "type": "finite", + "ambiguity_type": "semantic_table", + "interpretations": [ + "posts authored", + "posts authored or edited" + ], + "intended_interpretation_idx": 1 + } + ], + "gold_intended_query_id": "GQRY-B.1-C.1", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-B.0-C.0` ----- +/* +{ + "id": "GQRY-B.0-C.0", + "parameter_names": [ + "percentage_threshold" + ], + "parameter_values": { + "percentage_threshold": 0.8 + }, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] posts they contributed": "posts authored", + "[B] positive scores": "zero score as positive", + "[C] mostly": ":percentage_threshold" + } + } +} +*/ +WITH user_post_rating_counts AS ( +SELECT OwnerUserId, +SUM(CASE WHEN Score > 0 THEN 1 ELSE 0 END) AS positive_post_count, +SUM(CASE WHEN Score <= 0 THEN 1 ELSE 0 END) AS negative_post_count +FROM posts +GROUP BY OwnerUserId +) +SELECT COUNT(DISTINCT OwnerUserId) +FROM user_post_rating_counts +WHERE CAST(positive_post_count AS FLOAT) / (positive_post_count + negative_post_count) >= :percentage_threshold; +/* EXEC RESULT + COUNT(DISTINCT OwnerUserId) + 13258 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-B.0-C.1` ----- +/* +{ + "id": "GQRY-B.0-C.1", + "parameter_names": [ + "percentage_threshold" + ], + "parameter_values": { + "percentage_threshold": 0.8 + }, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] posts they contributed": "posts authored or edited", + "[B] positive scores": "zero score as positive", + "[C] mostly": ":percentage_threshold" + } + } +} +*/ +WITH post_contributions AS ( +SELECT OwnerUserId AS UserId, Id AS PostId +FROM posts +WHERE OwnerUserId IS NOT NULL +UNION +SELECT UserId AS UserId, PostId AS PostId +FROM postHistory +), +post_rating_counts AS ( +SELECT pc.UserId, +SUM(CASE WHEN p.Score > 0 THEN 1 ELSE 0 END) AS positive_post_count, +SUM(CASE WHEN p.Score <= 0 THEN 1 ELSE 0 END) AS negative_post_count +FROM post_contributions pc +JOIN posts p ON pc.PostId = p.Id +GROUP BY pc.UserId +) +SELECT COUNT(DISTINCT UserId) +FROM post_rating_counts +WHERE CAST(positive_post_count AS FLOAT) / (positive_post_count + negative_post_count) >= :percentage_threshold; +/* EXEC RESULT + COUNT(DISTINCT UserId) + 13345 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-B.1-C.0` ----- +/* +{ + "id": "GQRY-B.1-C.0", + "parameter_names": [ + "percentage_threshold" + ], + "parameter_values": { + "percentage_threshold": 0.8 + }, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] posts they contributed": "posts authored", + "[B] positive scores": "zero score as negative", + "[C] mostly": ":percentage_threshold" + } + } +} +*/ +WITH user_post_rating_counts AS ( +SELECT OwnerUserId, +SUM(CASE WHEN Score >= 0 THEN 1 ELSE 0 END) AS positive_post_count, +SUM(CASE WHEN Score < 0 THEN 1 ELSE 0 END) AS negative_post_count +FROM posts +GROUP BY OwnerUserId +) +SELECT COUNT(DISTINCT OwnerUserId) +FROM user_post_rating_counts +WHERE CAST(positive_post_count AS FLOAT) / (positive_post_count + negative_post_count) >= :percentage_threshold; +/* EXEC RESULT + COUNT(DISTINCT OwnerUserId) + 21426 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-B.1-C.1` ----- +/* +{ + "id": "GQRY-B.1-C.1", + "parameter_names": [ + "percentage_threshold" + ], + "parameter_values": { + "percentage_threshold": 0.8 + }, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] posts they contributed": "posts authored or edited", + "[B] positive scores": "zero score as negative", + "[C] mostly": ":percentage_threshold" + } + } +} +*/ +WITH post_contributions AS ( +SELECT OwnerUserId AS UserId, Id AS PostId +FROM posts +WHERE OwnerUserId IS NOT NULL +UNION +SELECT UserId AS UserId, PostId AS PostId +FROM postHistory +), +post_rating_counts AS ( +SELECT pc.UserId, +SUM(CASE WHEN p.Score >= 0 THEN 1 ELSE 0 END) AS positive_post_count, +SUM(CASE WHEN p.Score < 0 THEN 1 ELSE 0 END) AS negative_post_count +FROM post_contributions pc +JOIN posts p ON pc.PostId = p.Id +GROUP BY pc.UserId +) +SELECT COUNT(DISTINCT UserId) +FROM post_rating_counts +WHERE CAST(positive_post_count AS FLOAT) / (positive_post_count + negative_post_count) >= :percentage_threshold; +/* EXEC RESULT + COUNT(DISTINCT UserId) + 21562 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/077/gold_csv/GQRY-A.0.csv b/tasks/readable/077/gold_csv/GQRY-A.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..71ba71d813cab277b2ceb2d402ac373b8a4bf26f --- /dev/null +++ b/tasks/readable/077/gold_csv/GQRY-A.0.csv @@ -0,0 +1,11 @@ +UserId,DisplayName,PostCount +805,Glen_b,1720 +686,Peter Flom,1598 +919,whuber,1204 +11032,Michael Chernick,966 +7290,gung,827 +4505,Greg Snow,661 +183,Jeromy Anglim,493 +930,chl,458 +4253,Frank Harrell,450 +3382,IrishStat,425 diff --git a/tasks/readable/077/gold_csv/GQRY-A.1.csv b/tasks/readable/077/gold_csv/GQRY-A.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..b26041525f0a8acf2269276a8b15683311e99cea --- /dev/null +++ b/tasks/readable/077/gold_csv/GQRY-A.1.csv @@ -0,0 +1,11 @@ +UserId,DisplayName,PostOrCommentCount +919,whuber,14424 +805,Glen_b,10537 +686,Peter Flom,4706 +7290,gung,4697 +11032,Michael Chernick,3806 +2970,cardinal,3163 +930,chl,2882 +22047,Nick Cox,2630 +3277,ttnphns,2275 +4856,Macro,1935 diff --git a/tasks/readable/077/gold_csv/GQRY-A.2.csv b/tasks/readable/077/gold_csv/GQRY-A.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..e378641780cf53f010d149ad33847500dd9ab82a --- /dev/null +++ b/tasks/readable/077/gold_csv/GQRY-A.2.csv @@ -0,0 +1,11 @@ +UserId,DisplayName,PostOrCommentOrEditCount +919,whuber,21520 +805,Glen_b,17437 +7290,gung,12011 +930,chl,8886 +88,mbq,7942 +686,Peter Flom,7443 +22047,Nick Cox,5664 +11032,Michael Chernick,5471 +-1,Community,4722 +2970,cardinal,4332 diff --git a/tasks/readable/077/task_readable.sql b/tasks/readable/077/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..491284e1d8e6697c9a2ea8ea72aac93670b2013a --- /dev/null +++ b/tasks/readable/077/task_readable.sql @@ -0,0 +1,188 @@ +/* +{ + "qid": "077", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "codebase_community", + "question": "Find the top 10 users that have authored the most content on the platform.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "content", + "type": "finite", + "ambiguity_type": "semantic_table", + "interpretations": [ + "posts", + "posts and comments", + "posts, comments and edits" + ], + "intended_interpretation_idx": 0 + } + ], + "gold_intended_query_id": "GQRY-A.0", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0` ----- +/* +{ + "id": "GQRY-A.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] content": "posts" + } + } +} +*/ +WITH post_counts AS ( +SELECT OwnerUserId AS UserId, COUNT(DISTINCT Id) AS PostCount +FROM posts +WHERE OwnerUserId IS NOT NULL +GROUP BY OwnerUserId +) +SELECT u.Id AS UserId, u.DisplayName, COALESCE(pc.PostCount, 0) AS PostCount +FROM users u +LEFT JOIN post_counts pc ON u.Id = pc.UserId +ORDER BY PostCount DESC +LIMIT 10; +/* EXEC RESULT + UserId DisplayName PostCount + 805 Glen_b 1720 + 686 Peter Flom 1598 + 919 whuber 1204 + 11032 Michael Chernick 966 + 7290 gung 827 + 4505 Greg Snow 661 + 183 Jeromy Anglim 493 + 930 chl 458 + 4253 Frank Harrell 450 + 3382 IrishStat 425 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1` ----- +/* +{ + "id": "GQRY-A.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] content": "posts and comments" + } + } +} +*/ +WITH post_counts AS ( +SELECT OwnerUserId AS UserId, COUNT(DISTINCT Id) AS PostCount +FROM posts +WHERE OwnerUserId IS NOT NULL +GROUP BY OwnerUserId +), +comment_counts AS ( +SELECT UserId, COUNT(DISTINCT Id) AS CommentCount +FROM comments +WHERE UserId IS NOT NULL +GROUP BY UserId +) +SELECT +u.Id AS UserId, +u.DisplayName, +COALESCE(pc.PostCount, 0) + COALESCE(cc.CommentCount, 0) AS PostOrCommentCount +FROM users u +LEFT JOIN post_counts pc ON u.Id = pc.UserId +LEFT JOIN comment_counts cc ON u.Id = cc.UserId +ORDER BY PostOrCommentCount DESC +LIMIT 10; +/* EXEC RESULT + UserId DisplayName PostOrCommentCount + 919 whuber 14424 + 805 Glen_b 10537 + 686 Peter Flom 4706 + 7290 gung 4697 + 11032 Michael Chernick 3806 + 2970 cardinal 3163 + 930 chl 2882 + 22047 Nick Cox 2630 + 3277 ttnphns 2275 + 4856 Macro 1935 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.2` ----- +/* +{ + "id": "GQRY-A.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] content": "posts, comments and edits" + } + } +} +*/ +WITH post_counts AS ( +SELECT OwnerUserId AS UserId, COUNT(DISTINCT Id) AS PostCount +FROM posts +WHERE OwnerUserId IS NOT NULL +GROUP BY OwnerUserId +), +comment_counts AS ( +SELECT UserId, COUNT(DISTINCT Id) AS CommentCount +FROM comments +WHERE UserId IS NOT NULL +GROUP BY UserId +), +edit_counts AS ( +SELECT UserId, COUNT(DISTINCT Id) AS EditCount +FROM postHistory +WHERE UserId IS NOT NULL +GROUP BY UserId +) +SELECT +u.Id AS UserId, +u.DisplayName, +COALESCE(pc.PostCount, 0) + COALESCE(cc.CommentCount, 0) + COALESCE(ec.EditCount, 0) AS PostOrCommentOrEditCount +FROM users u +LEFT JOIN post_counts pc ON u.Id = pc.UserId +LEFT JOIN comment_counts cc ON u.Id = cc.UserId +LEFT JOIN edit_counts ec ON u.Id = ec.UserId +ORDER BY PostOrCommentOrEditCount DESC +LIMIT 10; +/* EXEC RESULT + UserId DisplayName PostOrCommentOrEditCount + 919 whuber 21520 + 805 Glen_b 17437 + 7290 gung 12011 + 930 chl 8886 + 88 mbq 7942 + 686 Peter Flom 7443 + 22047 Nick Cox 5664 + 11032 Michael Chernick 5471 + -1 Community 4722 + 2970 cardinal 4332 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/078/gold_csv/GQRY.csv b/tasks/readable/078/gold_csv/GQRY.csv new file mode 100644 index 0000000000000000000000000000000000000000..7a7c9e4ba4b40b5875182143710fec95df61ced6 --- /dev/null +++ b/tasks/readable/078/gold_csv/GQRY.csv @@ -0,0 +1,29 @@ +UserId,DisplayName,Month,PostCount +686,Peter Flom,2012-10,121 +686,Peter Flom,2013-05,66 +686,Peter Flom,2013-07,80 +805,Glen_b,2013-03,129 +805,Glen_b,2013-04,118 +805,Glen_b,2013-05,75 +805,Glen_b,2013-06,119 +805,Glen_b,2013-11,67 +805,Glen_b,2013-12,69 +805,Glen_b,2014-02,97 +805,Glen_b,2014-03,110 +805,Glen_b,2014-04,93 +805,Glen_b,2014-05,90 +805,Glen_b,2014-06,100 +805,Glen_b,2014-07,110 +805,Glen_b,2014-08,104 +930,chl,2010-10,67 +3911,GaBorgulya,2011-04,63 +4856,Macro,2012-05,69 +11032,Michael Chernick,2012-05,222 +11032,Michael Chernick,2012-06,195 +11032,Michael Chernick,2012-07,182 +11032,Michael Chernick,2012-08,177 +11032,Michael Chernick,2012-09,165 +22047,Nick Cox,2013-05,62 +22468,Andre Silva,2013-07,68 +36041,Aksakal,2014-04,79 +44965,Sergio,2014-05,61 diff --git a/tasks/readable/078/task_readable.sql b/tasks/readable/078/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..21147c29c682c004e40bbd539cd2b54517c7b4f3 --- /dev/null +++ b/tasks/readable/078/task_readable.sql @@ -0,0 +1,83 @@ +/* +{ + "qid": "078", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "codebase_community", + "question": "List all users who created a lot of posts in one month.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "a lot of posts", + "type": "infinite", + "ambiguity_type": "semantic_value", + "parameter_name": "post_count_threshold", + "parameter_dtype": "int", + "parameter_sample_operators": [ + ">", + ">=" + ], + "parameter_sample_values": [ + 60 + ], + "intended_parameter_operator": ">", + "intended_parameter_value": 60 + } + ], + "gold_intended_query_id": "GQRY", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY` ----- +/* +{ + "id": "GQRY", + "parameter_names": [ + "post_count_threshold" + ], + "parameter_values": { + "post_count_threshold": 60 + }, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] a lot of posts": ":post_count_threshold" + } + } +} +*/ +WITH post_counts AS ( +SELECT OwnerUserId, +strftime('%Y-%m', CreaionDate) AS Month, +COUNT(*) AS PostCount +FROM posts +WHERE OwnerUserId IS NOT NULL +GROUP BY OwnerUserId, strftime('%Y-%m', CreaionDate) +HAVING COUNT(*) > :post_count_threshold +) +SELECT u.Id AS UserId, u.DisplayName, p.Month, p.PostCount +FROM users u +JOIN post_counts p ON u.Id = p.OwnerUserId +ORDER BY u.Id, p.Month; +/* EXEC RESULT + UserId DisplayName Month PostCount + 686 Peter Flom 2012-10 121 + 686 Peter Flom 2013-05 66 + 686 Peter Flom 2013-07 80 + 805 Glen_b 2013-03 129 + 805 Glen_b 2013-04 118 +... TRUNCATED ... + 11032 Michael Chernick 2012-09 165 + 22047 Nick Cox 2013-05 62 + 22468 Andre Silva 2013-07 68 + 36041 Aksakal 2014-04 79 + 44965 Sergio 2014-05 61 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/079/gold_csv/GQRY.csv b/tasks/readable/079/gold_csv/GQRY.csv new file mode 100644 index 0000000000000000000000000000000000000000..2d1785e7af873f2a4eddb0ad7216411f730dffdc --- /dev/null +++ b/tasks/readable/079/gold_csv/GQRY.csv @@ -0,0 +1,11 @@ +TagName,PostCount,LatestPostDate +r,1504,2012-02-29 21:38:14.0 +regression,856,2012-02-29 17:20:12.0 +time-series,531,2012-02-29 18:23:31.0 +machine-learning,433,2012-02-29 13:29:18.0 +distributions,423,2012-02-29 09:28:27.0 +hypothesis-testing,365,2012-02-28 13:44:43.0 +probability,346,2012-02-29 23:30:26.0 +correlation,319,2012-02-29 14:03:26.0 +data-visualization,309,2012-02-28 14:53:18.0 +logistic,286,2012-02-29 23:28:12.0 diff --git a/tasks/readable/079/task_readable.sql b/tasks/readable/079/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..3b1dbbe0be8fc13f15c04cfc2d88488b1afe449e --- /dev/null +++ b/tasks/readable/079/task_readable.sql @@ -0,0 +1,99 @@ +/* +{ + "qid": "079", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "codebase_community", + "question": "Identify tags used in many posts in early years.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "many posts", + "type": "infinite", + "ambiguity_type": "semantic_value", + "parameter_name": "count_threshold", + "parameter_dtype": "int", + "parameter_sample_operators": [ + ">", + ">=" + ], + "parameter_sample_values": [ + 286 + ], + "intended_parameter_operator": ">=", + "intended_parameter_value": 286 + }, + { + "id": "B", + "phrase": "early years", + "type": "infinite", + "ambiguity_type": "semantic_value", + "parameter_name": "date_threshold", + "parameter_dtype": "str", + "parameter_sample_operators": [ + "<", + "<=" + ], + "parameter_sample_values": [ + "2012-02-29" + ], + "intended_parameter_operator": "<=", + "intended_parameter_value": "2012-02-29" + } + ], + "gold_intended_query_id": "GQRY", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY` ----- +/* +{ + "id": "GQRY", + "parameter_names": [ + "date_threshold", + "count_threshold" + ], + "parameter_values": { + "date_threshold": "2012-02-29", + "count_threshold": 286 + }, + "other_exec_results": [], + "required_columns": [ + 0 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] many posts": ":count_threshold", + "[B] early years": ":date_threshold" + } + } +} +*/ +SELECT +t.TagName, +COUNT(*) AS PostCount, +MAX(p.CreaionDate) AS LatestPostDate +FROM posts p +JOIN tags t ON p.Tags LIKE '%<' || t.TagName || '>%' +WHERE DATE(p.CreaionDate) <= :date_threshold +GROUP BY t.TagName +HAVING COUNT(*) >= :count_threshold +ORDER BY COUNT(*) DESC; +/* EXEC RESULT + TagName PostCount LatestPostDate + r 1504 2012-02-29 21:38:14.0 + regression 856 2012-02-29 17:20:12.0 + time-series 531 2012-02-29 18:23:31.0 + machine-learning 433 2012-02-29 13:29:18.0 + distributions 423 2012-02-29 09:28:27.0 +hypothesis-testing 365 2012-02-28 13:44:43.0 + probability 346 2012-02-29 23:30:26.0 + correlation 319 2012-02-29 14:03:26.0 +data-visualization 309 2012-02-28 14:53:18.0 + logistic 286 2012-02-29 23:28:12.0 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/080/gold_csv/GQRY.csv b/tasks/readable/080/gold_csv/GQRY.csv new file mode 100644 index 0000000000000000000000000000000000000000..3f0677672e4c8489ceb2ef478198a9f5aeebdeb9 --- /dev/null +++ b/tasks/readable/080/gold_csv/GQRY.csv @@ -0,0 +1,54 @@ +CommentId,Text,WordCount,CreationDate +71141,oooops! @Macro.,3,2012-09-01 00:59:06.0 +71148,I [answered](http://stats.stackexchange.com/a/35460/13669) too.,3,2012-09-01 03:50:56.0 +71212,+1 Simply marvellous!,3,2012-09-01 17:14:18.0 +71283,http://en.wikipedia.org/wiki/Binomial_distribution http://en.wikipedia.org/wiki/Uniform_distribution_(discrete),2,2012-09-02 08:20:23.0 +71318,http://creativemachines.cornell.edu/eureqa,1,2012-09-02 16:15:00.0 +71323,Absolutely correct..,2,2012-09-02 17:35:30.0 +71455,(+1) Good answer.,3,2012-09-03 23:35:50.0 +71457,"(+1) Nice, Douglas!",3,2012-09-03 23:47:25.0 +71647,(+1) Very nice!!,3,2012-09-05 09:47:46.0 +71760,(+1) ouch .....,3,2012-09-06 06:38:35.0 +71900,ok let's try....,3,2012-09-07 03:02:39.0 +72004,"OK, e-mail sent!",3,2012-09-07 16:27:55.0 +72019,"Roger, thanks @mbq.",3,2012-09-07 18:49:31.0 +72341,thanks andrea!!,2,2012-09-10 05:50:43.0 +72525,That looks correct!,3,2012-09-10 23:02:12.0 +72527,Thank you Michael,3,2012-09-10 23:22:28.0 +72545,@Michael Chernick: Yes,3,2012-09-11 02:42:47.0 +72576,"Yes, that's rightg\\",3,2012-09-11 10:06:06.0 +72678,Similar question:http://stats.stackexchange.com/questions/26722/calculate-transition-matrix-markov-in-r,2,2012-09-11 20:18:13.0 +72679,Correct. Good job.,3,2012-09-11 20:19:58.0 +72852,http://stats.stackexchange.com/questions/36212/what-tests-do-i-use-to-test-if-error-residuals-are-normally-distributed,1,2012-09-13 05:09:57.0 +72866,Thanks for help!,3,2012-09-13 07:50:30.0 +72887,any help ??????,3,2012-09-13 10:56:08.0 +72899,"Thanks, fixed it.",3,2012-09-13 12:36:26.0 +72983,Updated the description,3,2012-09-13 19:16:34.0 +73010,Nice contrapositive proof!,3,2012-09-13 23:19:46.0 +73011,kool............,1,2012-09-13 23:37:12.0 +73080,Thank you @chl!,3,2012-09-14 14:34:47.0 +73121,"@cardinal, see update.",3,2012-09-14 16:31:28.0 +73251,@MichaelChernick: thanks!,2,2012-09-15 15:55:11.0 +73289,similar question: http://stats.stackexchange.com/q/9202/5509,3,2012-09-16 09:43:29.0 +73290,similar question: http://stats.stackexchange.com/q/33315/5509,3,2012-09-16 09:43:56.0 +73305,Thank you again.,3,2012-09-16 13:34:28.0 +73384,Possible duplicate: http://stats.stackexchange.com/questions/29490/test-for-markov-property-in-a-time-series,3,2012-09-17 12:18:44.0 +73432,good point. thanks,3,2012-09-17 17:02:34.0 +73507,Question edited :),3,2012-09-18 10:15:58.0 +73855,ubuntu weka 3.6.6-1,3,2012-09-20 04:48:54.0 +74005,(+1) Good answer.,3,2012-09-20 22:53:20.0 +74011,Success.......!,1,2012-09-20 23:40:17.0 +74060,Perron-Frobenius.,1,2012-09-21 10:30:29.0 +74458,+1 good answer!,3,2012-09-24 12:40:26.0 +74471,"Yes, that's correct.",3,2012-09-24 13:35:01.0 +74521,@DouglasZare @whuber; thanks!,3,2012-09-24 21:24:05.0 +74628,http://books.google.ca/books/about/An_Introduction_to_Copulas.html?id=5Q7ooTrVe9sC&redir_esc=y,1,2012-09-25 15:32:43.0 +74655,Thank you @MichaelMcGowan.,3,2012-09-25 17:31:18.0 +74785,http://cran.r-project.org/web/packages/mcr/mcr.pdf,1,2012-09-26 15:46:22.0 +74931,Post on quant.stackexchange.com,3,2012-09-27 08:41:02.0 +75017,[Dilbert](http://search.dilbert.com/comic/Random%20Number%20Generator),1,2012-09-27 15:39:08.0 +75194,Bias: http://stats.stackexchange.com/questions/18945/difference-among-bias-systematic-bias-and-systematic-error,2,2012-09-28 12:24:30.0 +75206,**Related**: http://stats.stackexchange.com/q/6945/2970,2,2012-09-28 13:29:10.0 +75248,combinatorics/probability,1,2012-09-28 17:21:38.0 +75443,SE=(SD/√n) (√[(N-n)/N],2,2012-09-29 22:00:43.0 +75446,Read Cochran's book.,3,2012-09-29 22:11:58.0 diff --git a/tasks/readable/080/task_readable.sql b/tasks/readable/080/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..69dfa01b543fb5e573a61ba2deea6634341a87a1 --- /dev/null +++ b/tasks/readable/080/task_readable.sql @@ -0,0 +1,76 @@ +/* +{ + "qid": "080", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "codebase_community", + "question": "Retrieve comments with only a few words posted during September 2012.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "a few words", + "type": "infinite", + "ambiguity_type": "semantic_value", + "parameter_name": "word_count_threshold", + "parameter_dtype": "int", + "parameter_sample_operators": [ + "<", + "<=" + ], + "parameter_sample_values": [ + 4 + ], + "intended_parameter_operator": "<", + "intended_parameter_value": 4 + } + ], + "gold_intended_query_id": "GQRY", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY` ----- +/* +{ + "id": "GQRY", + "parameter_names": [ + "word_count_threshold" + ], + "parameter_values": { + "word_count_threshold": 4 + }, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] a few words": ":word_count_threshold" + } + } +} +*/ +SELECT Id AS CommentId, Text, (LENGTH(Text) - LENGTH(REPLACE(Text, ' ', '')) + 1) AS WordCount, CreationDate +FROM comments +WHERE (LENGTH(Text) - LENGTH(REPLACE(Text, ' ', '')) + 1) < :word_count_threshold +AND CreationDate >= '2012-09-01' +AND CreationDate < '2012-10-01' +ORDER BY CreationDate ASC; +/* EXEC RESULT + CommentId Text WordCount CreationDate + 71141 oooops! @Macro. 3 2012-09-01 00:59:06.0 + 71148 I [answered](http://stats.stackexchange.com/a/35460/13669) too. 3 2012-09-01 03:50:56.0 + 71212 +1 Simply marvellous! 3 2012-09-01 17:14:18.0 + 71283 http://en.wikipedia.org/wiki/Binomial_distribution http://en.wikipedia.org/wiki/Uniform_distribution_(discrete) 2 2012-09-02 08:20:23.0 + 71318 http://creativemachines.cornell.edu/eureqa 1 2012-09-02 16:15:00.0 +... TRUNCATED ... + 75194 Bias: http://stats.stackexchange.com/questions/18945/difference-among-bias-systematic-bias-and-systematic-error 2 2012-09-28 12:24:30.0 + 75206 **Related**: http://stats.stackexchange.com/q/6945/2970 2 2012-09-28 13:29:10.0 + 75248 combinatorics/probability 1 2012-09-28 17:21:38.0 + 75443 SE=(SD/√n) (√[(N-n)/N] 2 2012-09-29 22:00:43.0 + 75446 Read Cochran's book. 3 2012-09-29 22:11:58.0 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/081/gold_csv/GQRY-A.0.csv b/tasks/readable/081/gold_csv/GQRY-A.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..374e0bcf52cdd0967be4e6f075c1bd1624db31ce --- /dev/null +++ b/tasks/readable/081/gold_csv/GQRY-A.0.csv @@ -0,0 +1,5 @@ +UserId,DisplayName +501,momeara +726,Wilduck +740,casperOne +827,TMOD diff --git a/tasks/readable/081/gold_csv/GQRY-A.1.csv b/tasks/readable/081/gold_csv/GQRY-A.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..f27473b18c9e595d10039e09285e846e04a7af5d --- /dev/null +++ b/tasks/readable/081/gold_csv/GQRY-A.1.csv @@ -0,0 +1,90 @@ +UserId,DisplayName +12,Jin +26,JMS +36,Stephen Turner +37,Menno +82,fgregg +98,Michael Lugo +99,Digital Gal +118,Dave Kincaid +124,Duke of Lizards +133,DrDanielSwan +139,Suresh Venkatasubramanian +169,Isaac Hodes +197,FloE +227,Steve Lianoglou +230,vonjd +268,James Webster +276,Scott Weinstein +290,Bunnenberg +300,Dr G +301,MatthewMartin +302,DrewConway +311,Mike Polen +338,awshepard +375,Eduardo Leoni +386,Douglas S. Stones +394,Shelby +400,Jfly +410,scw +422,momobo +427,Jiri Lukavsky +431,Andrew V +452,Carl +468,Sinan Ünür +480,mohans +493,Tristan +494,Nathan Harmston +495,Simon Byrne +501,momeara +516,JudoWill +523,Washington S. Silva +527,dsolimano +529,Khader Shameer +530,emakalic +539,Clair Crossupton +546,Julius A +559,Elpezmuerto +562,Jacob +565,j.p. +569,Btibert3 +588,lokheart +595,Marcin +605,Andreas +609,Andrej +615,Bill the Lizard +616,sabunime +629,nicolaskruchten +656,richiemorrisroe +660,David James +679,Rahul +686,Peter Flom +690,JIm +697,Fojtasek +704,hans0l0 +721,Pratik Deoghare +726,Wilduck +739,McPeterson +740,casperOne +741,Cerin +747,waiwai933 +770,Etiennebr +775,Ian Boyd +800,Enno Shioji +801,nimrodm +803,balalakshmi +805,Glen_b +812,Ming-Chih Kao +825,Anthony Kong +827,TMOD +845,dcl +847,Henry B. +858,Neil G +872,ancechu +903,Brent.Longborough +913,Tormod +914,knorv +933,GollyJer +966,Matt Albrecht +972,Rafael S. Calsaverini +996,DavidShor diff --git a/tasks/readable/081/task_readable.sql b/tasks/readable/081/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..c6b1b1c35580311cc855ea74226be159c37a7716 --- /dev/null +++ b/tasks/readable/081/task_readable.sql @@ -0,0 +1,113 @@ +/* +{ + "qid": "081", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "codebase_community", + "question": "Find users who have either Teacher or Student badges in 2011 and 2012. Only includes the users with ID up to 1000.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "in 2011 and 2012", + "type": "finite", + "ambiguity_type": "semantic_computation", + "interpretations": [ + "in both 2011 and 2012.", + "in either 2011 or 2012." + ], + "intended_interpretation_idx": 1 + } + ], + "gold_intended_query_id": "GQRY-A.1", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0` ----- +/* +{ + "id": "GQRY-A.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] in 2011 and 2012": "in both 2011 and 2012." + } + } +} +*/ +SELECT u.Id AS UserId, u.DisplayName +FROM users u +WHERE u.Id IN ( +SELECT UserId +FROM ( +SELECT UserId +FROM badges +WHERE Name in ('Teacher', 'Student') AND strftime('%Y', Date) = '2011' +INTERSECT +SELECT UserId +FROM badges +WHERE Name in ('Teacher', 'Student') AND strftime('%Y', Date) = '2012' +) +) +AND u.Id <= 1000 +ORDER BY UserId; +/* EXEC RESULT + UserId DisplayName + 501 momeara + 726 Wilduck + 740 casperOne + 827 TMOD +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1` ----- +/* +{ + "id": "GQRY-A.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] in 2011 and 2012": "in either 2011 or 2012." + } + } +} +*/ +SELECT u.Id AS UserId, u.DisplayName +FROM users u +WHERE u.Id IN ( +SELECT UserId +FROM badges +WHERE Name in ('Teacher', 'Student') AND strftime('%Y', Date) IN ('2011', '2012') +) +AND u.Id <= 1000 +ORDER BY UserId; +/* EXEC RESULT + UserId DisplayName + 12 Jin + 26 JMS + 36 Stephen Turner + 37 Menno + 82 fgregg +... TRUNCATED ... + 914 knorv + 933 GollyJer + 966 Matt Albrecht + 972 Rafael S. Calsaverini + 996 DavidShor +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/082/gold_csv/GQRY-A.0.csv b/tasks/readable/082/gold_csv/GQRY-A.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..792ae71479b1a721b88381d2039976bfa47caa82 --- /dev/null +++ b/tasks/readable/082/gold_csv/GQRY-A.0.csv @@ -0,0 +1,58 @@ +UserId,DisplayName,PostCount +38,EAMann,1 +39,John L. Taylor,14 +392,Guru,0 +1539,Benjamin Chambers,1 +1861,jeremynealbrown,0 +2331,Ben Jones,0 +2622,Ben Jackson,4 +2697,dcolish,0 +2735,Ian Terrell,0 +2783,Kirk Strobeck,1 +3712,cwarden,2 +4117,Sean W.,0 +5843,Tobi Lehman,0 +5880,Brian Diggs,12 +6443,Damon,0 +6644,bpanulla,0 +6759,Macromika,0 +6801,troutwine,0 +8325,Jacob Helwig,0 +8526,Mike Bijon,2 +8580,Kyle.,64 +9229,Michael Burge,1 +9302,Doug Glancy,0 +12070,Samuel Hulick,1 +12612,dfb,1 +13019,Hydrangea,0 +13399,Joel Hoffman,0 +15974,hobs,0 +16238,POTENZA,7 +16281,Mihaela,0 +16997,Joe Fusion,0 +17216,chimpsarehungry,0 +18203,Alexander,0 +18309,Paul H,1 +18610,Michael Petrotta,0 +20086,Rob Bednark,0 +21514,Bryan Kim,2 +23895,Breyer,1 +24293,Scott Chamberlain,3 +26632,Jim Garrison,1 +29795,Joel Barsotti,1 +32008,morudy,0 +36489,Chris Mills-Price,0 +37372,Dietrich Epp,1 +40534,joshua,0 +41127,hillsons,0 +42093,remarkableearth,0 +42170,Jas Max,6 +43484,Chansik Im,0 +44565,g-test,0 +45017,gyrostu,0 +46812,FlavorScape,0 +48728,Peter Kirby,1 +52732,Kenneth Posey,0 +53737,John Todoroff,0 +53863,BChan,0 +55386,sfletche,1 diff --git a/tasks/readable/082/gold_csv/GQRY-A.1.csv b/tasks/readable/082/gold_csv/GQRY-A.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..cd3d813bd5257a19f1f3afe388f652a874ae3b5b --- /dev/null +++ b/tasks/readable/082/gold_csv/GQRY-A.1.csv @@ -0,0 +1,2 @@ +UserId,DisplayName,PostCount +52159,ewall,0 diff --git a/tasks/readable/082/task_readable.sql b/tasks/readable/082/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..02861103e1daac9534871e8ac76cf21d459cc8df --- /dev/null +++ b/tasks/readable/082/task_readable.sql @@ -0,0 +1,115 @@ +/* +{ + "qid": "082", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "codebase_community", + "question": "For each user in Portland, show the number of posts they have created.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "Portland", + "type": "finite", + "ambiguity_type": "semantic_value", + "interpretations": [ + "Portland, Oregon", + "Portland, Maine" + ], + "intended_interpretation_idx": 1 + } + ], + "gold_intended_query_id": "GQRY-A.1", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0` ----- +/* +{ + "id": "GQRY-A.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Portland": "Portland, Oregon" + } + } +} +*/ +SELECT +u.Id AS UserId, +u.DisplayName, +COUNT(DISTINCT p.Id) AS PostCount +FROM users u +LEFT JOIN posts p ON u.Id = p.OwnerUserId +WHERE u.Location IN ( +'Portland, OR', +'Portland OR', +'Portland, Oregon', +'Portland,OR', +'Portland, Oregon, USA', +'Portland Oregon', +'Portland.' +) +GROUP BY u.Id, u.DisplayName +ORDER BY u.Id; +/* EXEC RESULT + UserId DisplayName PostCount + 38 EAMann 1 + 39 John L. Taylor 14 + 392 Guru 0 + 1539 Benjamin Chambers 1 + 1861 jeremynealbrown 0 +... TRUNCATED ... + 48728 Peter Kirby 1 + 52732 Kenneth Posey 0 + 53737 John Todoroff 0 + 53863 BChan 0 + 55386 sfletche 1 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1` ----- +/* +{ + "id": "GQRY-A.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Portland": "Portland, Maine" + } + } +} +*/ +SELECT +u.Id AS UserId, +u.DisplayName, +COUNT(DISTINCT p.Id) AS PostCount +FROM users u +LEFT JOIN posts p ON u.Id = p.OwnerUserId +WHERE u.Location IN ( +'Portland, ME' +) +GROUP BY u.Id, u.DisplayName +ORDER BY u.Id; +/* EXEC RESULT + UserId DisplayName PostCount + 52159 ewall 0 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/083/gold_csv/GQRY-B.0-C.0.csv b/tasks/readable/083/gold_csv/GQRY-B.0-C.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..f3af24508207616940b4b204fd7e9f5f00e5ee15 --- /dev/null +++ b/tasks/readable/083/gold_csv/GQRY-B.0-C.0.csv @@ -0,0 +1,52 @@ +TagName,PostId,Title,Score,LasActivityDate,AnswerCount +anova,555,Why is ANOVA taught / used as if it is a different research methodology compared to linear regression?,46,2013-10-20 07:55:31.0,5 +bayesian,22,Bayesian and frequentist reasoning in plain English,102,2014-06-05 02:06:32.0,15 +categorical-data,5774,Can principal component analysis be applied to datasets containing a mix of continuous and categorical variables?,47,2014-02-13 20:09:38.0,3 +chi-squared,14226,"Given the power of computers these days, is there ever a reason to do a chi-squared test rather than Fisher's exact test?",47,2013-07-21 18:23:37.0,2 +classification,3947,Help me understand Support Vector Machines,46,2010-10-26 19:45:29.0,1 +clustering,7224,Detecting a given face in a database of facial images,89,2012-02-19 18:09:33.0,8 +confidence-interval,26450,Why does a 95% CI not imply a 95% chance of containing the mean?,90,2014-08-27 14:00:52.0,8 +correlation,83136,Is Facebook coming to an end?,110,2014-03-26 03:19:48.0,8 +cross-validation,577,Is there any reason to prefer the AIC or BIC over the other?,79,2014-04-11 11:31:10.0,10 +data-mining,5026,"What is the difference between data mining, statistics, machine learning and AI?",68,2014-05-21 10:33:45.0,11 +data-transformation,1444,How should I transform non-negative data including zeros?,66,2014-03-08 22:00:21.0,9 +data-transformation,8225,How to summarize data by group in R?,66,2014-07-15 15:01:29.0,9 +data-visualization,51718,Assessing approximate distribution of data based on a histogram,43,2014-03-30 04:05:19.0,3 +dataset,7,Locating freely available data samples,76,2013-12-28 06:53:10.0,24 +distributions,47771,What is the intuition behind beta distribution?,85,2013-12-30 20:25:44.0,5 +estimation,30604,Computing Cohen's Kappa variance (and standard errors),32,2013-03-30 21:56:55.0,1 +forecasting,86767,"AIC,BIC,CIC,DIC,EIC,FIC,GIC,HIC,IIC --- Can I use them interchangeably?",27,2014-02-22 21:59:29.0,3 +generalized-linear-model,20523,Difference between logit and probit models,87,2013-12-12 11:25:45.0,5 +hypothesis-testing,83136,Is Facebook coming to an end?,110,2014-03-26 03:19:48.0,8 +interaction,11009,Including the interaction but not the main effects in a model,37,2013-10-29 09:31:11.0,12 +logistic,20523,Difference between logit and probit models,87,2013-12-12 11:25:45.0,5 +machine-learning,6,The Two Cultures: statistics vs. machine learning?,152,2014-05-29 03:54:31.0,15 +mathematical-statistics,485,Mathematical Statistics Videos,48,2013-02-18 07:41:01.0,19 +matlab,10540,How to interpret mean of Silhouette plot?,15,2013-02-04 22:00:34.0,3 +maximum-likelihood,80380,Examples where method of moments can beat maximum likelihood in small samples?,26,2014-08-26 23:37:00.0,5 +mixed-model,4700,"What is the difference between fixed effect, random effect and mixed effect models?",40,2013-11-03 06:12:41.0,4 +mixed-model,5344,How to choose nlme or lme4 R library for mixed effects models?,40,2014-08-05 06:57:48.0,4 +model-selection,577,Is there any reason to prefer the AIC or BIC over the other?,79,2014-04-11 11:31:10.0,10 +modeling,577,Is there any reason to prefer the AIC or BIC over the other?,79,2014-04-11 11:31:10.0,10 +multiple-regression,29781,When should you center your data & when should you standardize?,51,2014-09-11 00:53:10.0,8 +multivariate-analysis,7815,What skills are required to perform large scale statistical analyses?,63,2011-11-29 19:37:05.0,5 +neural-networks,181,How to choose the number of hidden layers and nodes in a feedforward neural network?,50,2013-08-30 02:48:10.0,4 +nonparametric,1164,Why haven't robust (and resistant) statistics replaced classical techniques?,50,2012-11-09 06:06:02.0,12 +normal-distribution,4220,A Probability distribution value exceeding 1 is OK?,44,2013-09-20 15:53:05.0,3 +pca,2691,"Making sense of principal component analysis, eigenvectors & eigenvalues",184,2014-06-27 21:13:25.0,25 +predictive-models,2234,Alternatives to logistic regression in R,34,2011-11-22 14:31:54.0,5 +probability,86015,Amazon interview question—probability of 2nd interview,99,2014-02-17 02:14:57.0,14 +r,1595,Python as a statistics workbench,192,2014-08-19 20:55:48.0,21 +regression,13314,Is $R^2$ useful or dangerous?,106,2013-01-10 12:45:33.0,6 +repeated-measures,29713,What is covariance in plain language?,30,2013-10-09 15:19:59.0,2 +sampling,35971,Is sampling relevant in the time of 'big data'?,32,2012-09-16 09:55:57.0,8 +self-study,70490,Taking the expectation of Taylor series (especially the remainder),20,2013-10-03 07:46:27.0,4 +spss,1595,Python as a statistics workbench,192,2014-08-19 20:55:48.0,21 +statistical-significance,10510,What are good references containing arguments against null hypothesis significance testing?,40,2014-01-09 14:20:08.0,2 +statistical-significance,55691,"Regarding p-values, why 1% and 5%? Why not 6% or 10%?",40,2014-05-29 02:27:21.0,8 +survival,1053,References for Survival Analysis,17,2014-02-15 08:47:36.0,11 +survival,1736,Survival Analysis tools in Python,17,2014-06-08 17:09:05.0,7 +svm,3947,Help me understand Support Vector Machines,46,2010-10-26 19:45:29.0,1 +t-test,31,What is the meaning of p values and t values in statistical tests?,66,2014-07-19 03:34:11.0,10 +time-series,11414,"Do we have a problem of ""pity upvotes""?",40,2011-06-04 19:07:31.0,3 +variance,18058,How would you explain covariance to someone who understands only the mean?,46,2014-08-11 02:21:33.0,7 diff --git a/tasks/readable/083/gold_csv/GQRY-B.0-C.1.csv b/tasks/readable/083/gold_csv/GQRY-B.0-C.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..e25c9b5dac52a6023ffff8a1074ad4a7bb152914 --- /dev/null +++ b/tasks/readable/083/gold_csv/GQRY-B.0-C.1.csv @@ -0,0 +1,52 @@ +TagName,PostId,Title,Score,LasActivityDate,CommentCount +anova,555,Why is ANOVA taught / used as if it is a different research methodology compared to linear regression?,46,2013-10-20 07:55:31.0,3 +bayesian,22,Bayesian and frequentist reasoning in plain English,102,2014-06-05 02:06:32.0,1 +categorical-data,5774,Can principal component analysis be applied to datasets containing a mix of continuous and categorical variables?,47,2014-02-13 20:09:38.0,0 +chi-squared,14226,"Given the power of computers these days, is there ever a reason to do a chi-squared test rather than Fisher's exact test?",47,2013-07-21 18:23:37.0,10 +classification,3947,Help me understand Support Vector Machines,46,2010-10-26 19:45:29.0,1 +clustering,7224,Detecting a given face in a database of facial images,89,2012-02-19 18:09:33.0,10 +confidence-interval,26450,Why does a 95% CI not imply a 95% chance of containing the mean?,90,2014-08-27 14:00:52.0,9 +correlation,83136,Is Facebook coming to an end?,110,2014-03-26 03:19:48.0,23 +cross-validation,577,Is there any reason to prefer the AIC or BIC over the other?,79,2014-04-11 11:31:10.0,2 +data-mining,5026,"What is the difference between data mining, statistics, machine learning and AI?",68,2014-05-21 10:33:45.0,10 +data-transformation,1444,How should I transform non-negative data including zeros?,66,2014-03-08 22:00:21.0,5 +data-transformation,8225,How to summarize data by group in R?,66,2014-07-15 15:01:29.0,6 +data-visualization,51718,Assessing approximate distribution of data based on a histogram,43,2014-03-30 04:05:19.0,1 +dataset,7,Locating freely available data samples,76,2013-12-28 06:53:10.0,3 +distributions,47771,What is the intuition behind beta distribution?,85,2013-12-30 20:25:44.0,2 +estimation,30604,Computing Cohen's Kappa variance (and standard errors),32,2013-03-30 21:56:55.0,6 +forecasting,86767,"AIC,BIC,CIC,DIC,EIC,FIC,GIC,HIC,IIC --- Can I use them interchangeably?",27,2014-02-22 21:59:29.0,1 +generalized-linear-model,20523,Difference between logit and probit models,87,2013-12-12 11:25:45.0,1 +hypothesis-testing,83136,Is Facebook coming to an end?,110,2014-03-26 03:19:48.0,23 +interaction,11009,Including the interaction but not the main effects in a model,37,2013-10-29 09:31:11.0,4 +logistic,20523,Difference between logit and probit models,87,2013-12-12 11:25:45.0,1 +machine-learning,6,The Two Cultures: statistics vs. machine learning?,152,2014-05-29 03:54:31.0,5 +mathematical-statistics,485,Mathematical Statistics Videos,48,2013-02-18 07:41:01.0,3 +matlab,10540,How to interpret mean of Silhouette plot?,15,2013-02-04 22:00:34.0,5 +maximum-likelihood,80380,Examples where method of moments can beat maximum likelihood in small samples?,26,2014-08-26 23:37:00.0,11 +mixed-model,4700,"What is the difference between fixed effect, random effect and mixed effect models?",40,2013-11-03 06:12:41.0,2 +mixed-model,5344,How to choose nlme or lme4 R library for mixed effects models?,40,2014-08-05 06:57:48.0,0 +model-selection,577,Is there any reason to prefer the AIC or BIC over the other?,79,2014-04-11 11:31:10.0,2 +modeling,577,Is there any reason to prefer the AIC or BIC over the other?,79,2014-04-11 11:31:10.0,2 +multiple-regression,29781,When should you center your data & when should you standardize?,51,2014-09-11 00:53:10.0,5 +multivariate-analysis,7815,What skills are required to perform large scale statistical analyses?,63,2011-11-29 19:37:05.0,3 +neural-networks,181,How to choose the number of hidden layers and nodes in a feedforward neural network?,50,2013-08-30 02:48:10.0,0 +nonparametric,1164,Why haven't robust (and resistant) statistics replaced classical techniques?,50,2012-11-09 06:06:02.0,3 +normal-distribution,4220,A Probability distribution value exceeding 1 is OK?,44,2013-09-20 15:53:05.0,3 +pca,2691,"Making sense of principal component analysis, eigenvectors & eigenvalues",184,2014-06-27 21:13:25.0,10 +predictive-models,2234,Alternatives to logistic regression in R,34,2011-11-22 14:31:54.0,4 +probability,86015,Amazon interview question—probability of 2nd interview,99,2014-02-17 02:14:57.0,35 +r,1595,Python as a statistics workbench,192,2014-08-19 20:55:48.0,3 +regression,13314,Is $R^2$ useful or dangerous?,106,2013-01-10 12:45:33.0,3 +repeated-measures,29713,What is covariance in plain language?,30,2013-10-09 15:19:59.0,2 +sampling,35971,Is sampling relevant in the time of 'big data'?,32,2012-09-16 09:55:57.0,3 +self-study,70490,Taking the expectation of Taylor series (especially the remainder),20,2013-10-03 07:46:27.0,9 +spss,1595,Python as a statistics workbench,192,2014-08-19 20:55:48.0,3 +statistical-significance,10510,What are good references containing arguments against null hypothesis significance testing?,40,2014-01-09 14:20:08.0,4 +statistical-significance,55691,"Regarding p-values, why 1% and 5%? Why not 6% or 10%?",40,2014-05-29 02:27:21.0,1 +survival,1053,References for Survival Analysis,17,2014-02-15 08:47:36.0,1 +survival,1736,Survival Analysis tools in Python,17,2014-06-08 17:09:05.0,2 +svm,3947,Help me understand Support Vector Machines,46,2010-10-26 19:45:29.0,1 +t-test,31,What is the meaning of p values and t values in statistical tests?,66,2014-07-19 03:34:11.0,3 +time-series,11414,"Do we have a problem of ""pity upvotes""?",40,2011-06-04 19:07:31.0,8 +variance,18058,How would you explain covariance to someone who understands only the mean?,46,2014-08-11 02:21:33.0,3 diff --git a/tasks/readable/083/gold_csv/GQRY-B.0-C.2.csv b/tasks/readable/083/gold_csv/GQRY-B.0-C.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..a0b1fbc357820e3060df8f292ca72571a79c55eb --- /dev/null +++ b/tasks/readable/083/gold_csv/GQRY-B.0-C.2.csv @@ -0,0 +1,52 @@ +TagName,PostId,Title,Score,LasActivityDate,AnswerCommentCount +anova,555,Why is ANOVA taught / used as if it is a different research methodology compared to linear regression?,46,2013-10-20 07:55:31.0,8 +bayesian,22,Bayesian and frequentist reasoning in plain English,102,2014-06-05 02:06:32.0,16 +categorical-data,5774,Can principal component analysis be applied to datasets containing a mix of continuous and categorical variables?,47,2014-02-13 20:09:38.0,3 +chi-squared,14226,"Given the power of computers these days, is there ever a reason to do a chi-squared test rather than Fisher's exact test?",47,2013-07-21 18:23:37.0,12 +classification,3947,Help me understand Support Vector Machines,46,2010-10-26 19:45:29.0,2 +clustering,7224,Detecting a given face in a database of facial images,89,2012-02-19 18:09:33.0,18 +confidence-interval,26450,Why does a 95% CI not imply a 95% chance of containing the mean?,90,2014-08-27 14:00:52.0,17 +correlation,83136,Is Facebook coming to an end?,110,2014-03-26 03:19:48.0,31 +cross-validation,577,Is there any reason to prefer the AIC or BIC over the other?,79,2014-04-11 11:31:10.0,12 +data-mining,5026,"What is the difference between data mining, statistics, machine learning and AI?",68,2014-05-21 10:33:45.0,21 +data-transformation,1444,How should I transform non-negative data including zeros?,66,2014-03-08 22:00:21.0,14 +data-transformation,8225,How to summarize data by group in R?,66,2014-07-15 15:01:29.0,15 +data-visualization,51718,Assessing approximate distribution of data based on a histogram,43,2014-03-30 04:05:19.0,4 +dataset,7,Locating freely available data samples,76,2013-12-28 06:53:10.0,27 +distributions,47771,What is the intuition behind beta distribution?,85,2013-12-30 20:25:44.0,7 +estimation,30604,Computing Cohen's Kappa variance (and standard errors),32,2013-03-30 21:56:55.0,7 +forecasting,86767,"AIC,BIC,CIC,DIC,EIC,FIC,GIC,HIC,IIC --- Can I use them interchangeably?",27,2014-02-22 21:59:29.0,4 +generalized-linear-model,20523,Difference between logit and probit models,87,2013-12-12 11:25:45.0,6 +hypothesis-testing,83136,Is Facebook coming to an end?,110,2014-03-26 03:19:48.0,31 +interaction,11009,Including the interaction but not the main effects in a model,37,2013-10-29 09:31:11.0,16 +logistic,20523,Difference between logit and probit models,87,2013-12-12 11:25:45.0,6 +machine-learning,6,The Two Cultures: statistics vs. machine learning?,152,2014-05-29 03:54:31.0,20 +mathematical-statistics,485,Mathematical Statistics Videos,48,2013-02-18 07:41:01.0,22 +matlab,10540,How to interpret mean of Silhouette plot?,15,2013-02-04 22:00:34.0,8 +maximum-likelihood,80380,Examples where method of moments can beat maximum likelihood in small samples?,26,2014-08-26 23:37:00.0,16 +mixed-model,4700,"What is the difference between fixed effect, random effect and mixed effect models?",40,2013-11-03 06:12:41.0,6 +mixed-model,5344,How to choose nlme or lme4 R library for mixed effects models?,40,2014-08-05 06:57:48.0,4 +model-selection,577,Is there any reason to prefer the AIC or BIC over the other?,79,2014-04-11 11:31:10.0,12 +modeling,577,Is there any reason to prefer the AIC or BIC over the other?,79,2014-04-11 11:31:10.0,12 +multiple-regression,29781,When should you center your data & when should you standardize?,51,2014-09-11 00:53:10.0,13 +multivariate-analysis,7815,What skills are required to perform large scale statistical analyses?,63,2011-11-29 19:37:05.0,8 +neural-networks,181,How to choose the number of hidden layers and nodes in a feedforward neural network?,50,2013-08-30 02:48:10.0,4 +nonparametric,1164,Why haven't robust (and resistant) statistics replaced classical techniques?,50,2012-11-09 06:06:02.0,15 +normal-distribution,4220,A Probability distribution value exceeding 1 is OK?,44,2013-09-20 15:53:05.0,6 +pca,2691,"Making sense of principal component analysis, eigenvectors & eigenvalues",184,2014-06-27 21:13:25.0,35 +predictive-models,2234,Alternatives to logistic regression in R,34,2011-11-22 14:31:54.0,9 +probability,86015,Amazon interview question—probability of 2nd interview,99,2014-02-17 02:14:57.0,49 +r,1595,Python as a statistics workbench,192,2014-08-19 20:55:48.0,24 +regression,13314,Is $R^2$ useful or dangerous?,106,2013-01-10 12:45:33.0,9 +repeated-measures,29713,What is covariance in plain language?,30,2013-10-09 15:19:59.0,4 +sampling,35971,Is sampling relevant in the time of 'big data'?,32,2012-09-16 09:55:57.0,11 +self-study,70490,Taking the expectation of Taylor series (especially the remainder),20,2013-10-03 07:46:27.0,13 +spss,1595,Python as a statistics workbench,192,2014-08-19 20:55:48.0,24 +statistical-significance,10510,What are good references containing arguments against null hypothesis significance testing?,40,2014-01-09 14:20:08.0,6 +statistical-significance,55691,"Regarding p-values, why 1% and 5%? Why not 6% or 10%?",40,2014-05-29 02:27:21.0,9 +survival,1053,References for Survival Analysis,17,2014-02-15 08:47:36.0,12 +survival,1736,Survival Analysis tools in Python,17,2014-06-08 17:09:05.0,9 +svm,3947,Help me understand Support Vector Machines,46,2010-10-26 19:45:29.0,2 +t-test,31,What is the meaning of p values and t values in statistical tests?,66,2014-07-19 03:34:11.0,13 +time-series,11414,"Do we have a problem of ""pity upvotes""?",40,2011-06-04 19:07:31.0,11 +variance,18058,How would you explain covariance to someone who understands only the mean?,46,2014-08-11 02:21:33.0,10 diff --git a/tasks/readable/083/gold_csv/GQRY-B.1-C.0.csv b/tasks/readable/083/gold_csv/GQRY-B.1-C.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..639d40872ef4c427da5ff7617aa251e87f2b1ace --- /dev/null +++ b/tasks/readable/083/gold_csv/GQRY-B.1-C.0.csv @@ -0,0 +1,52 @@ +TagName,PostId,Title,Score,LastEditDate,AnswerCount +anova,555,Why is ANOVA taught / used as if it is a different research methodology compared to linear regression?,46,2012-08-18 16:21:38.0,5 +bayesian,22,Bayesian and frequentist reasoning in plain English,102,2011-10-04 07:05:14.0,15 +categorical-data,5774,Can principal component analysis be applied to datasets containing a mix of continuous and categorical variables?,47,2011-10-02 03:16:44.0,3 +chi-squared,14226,"Given the power of computers these days, is there ever a reason to do a chi-squared test rather than Fisher's exact test?",47,2013-07-21 18:23:37.0,2 +classification,3947,Help me understand Support Vector Machines,46,2010-10-26 19:45:29.0,1 +clustering,7224,Detecting a given face in a database of facial images,89,2011-02-15 15:22:25.0,8 +confidence-interval,26450,Why does a 95% CI not imply a 95% chance of containing the mean?,90,,8 +correlation,83136,Is Facebook coming to an end?,110,2014-01-27 02:11:52.0,8 +cross-validation,577,Is there any reason to prefer the AIC or BIC over the other?,79,2010-07-25 05:09:18.0,10 +data-mining,5026,"What is the difference between data mining, statistics, machine learning and AI?",68,,11 +data-transformation,1444,How should I transform non-negative data including zeros?,66,2011-04-29 00:20:08.0,9 +data-transformation,8225,How to summarize data by group in R?,66,2011-03-13 15:20:27.0,9 +data-visualization,51718,Assessing approximate distribution of data based on a histogram,43,2014-03-30 04:05:19.0,3 +dataset,7,Locating freely available data samples,76,2013-09-26 21:50:36.0,24 +distributions,47771,What is the intuition behind beta distribution?,85,2013-10-02 09:06:29.0,5 +estimation,30604,Computing Cohen's Kappa variance (and standard errors),32,2013-02-02 18:41:33.0,1 +forecasting,86767,"AIC,BIC,CIC,DIC,EIC,FIC,GIC,HIC,IIC --- Can I use them interchangeably?",27,2014-02-17 23:56:05.0,3 +generalized-linear-model,20523,Difference between logit and probit models,87,2013-09-08 13:29:58.0,5 +hypothesis-testing,83136,Is Facebook coming to an end?,110,2014-01-27 02:11:52.0,8 +interaction,11009,Including the interaction but not the main effects in a model,37,2011-05-20 09:20:21.0,12 +logistic,20523,Difference between logit and probit models,87,2013-09-08 13:29:58.0,5 +machine-learning,6,The Two Cultures: statistics vs. machine learning?,152,2013-06-07 06:38:10.0,15 +mathematical-statistics,485,Mathematical Statistics Videos,48,2010-07-22 14:06:03.0,19 +matlab,10540,How to interpret mean of Silhouette plot?,15,2011-05-09 06:43:41.0,3 +maximum-likelihood,80380,Examples where method of moments can beat maximum likelihood in small samples?,26,2014-08-26 23:37:00.0,5 +mixed-model,4700,"What is the difference between fixed effect, random effect and mixed effect models?",40,2010-11-19 07:58:26.0,4 +mixed-model,5344,How to choose nlme or lme4 R library for mixed effects models?,40,2013-09-04 15:59:13.0,4 +model-selection,577,Is there any reason to prefer the AIC or BIC over the other?,79,2010-07-25 05:09:18.0,10 +modeling,577,Is there any reason to prefer the AIC or BIC over the other?,79,2010-07-25 05:09:18.0,10 +multiple-regression,29781,When should you center your data & when should you standardize?,51,2012-06-04 17:06:39.0,8 +multivariate-analysis,7815,What skills are required to perform large scale statistical analyses?,63,2011-03-06 21:39:42.0,5 +neural-networks,181,How to choose the number of hidden layers and nodes in a feedforward neural network?,50,2013-08-30 01:49:40.0,4 +nonparametric,1164,Why haven't robust (and resistant) statistics replaced classical techniques?,50,2012-11-09 06:06:02.0,12 +normal-distribution,4220,A Probability distribution value exceeding 1 is OK?,44,2013-09-20 15:53:05.0,3 +pca,2691,"Making sense of principal component analysis, eigenvectors & eigenvalues",184,2013-06-19 22:14:36.0,25 +predictive-models,2234,Alternatives to logistic regression in R,34,2011-11-22 14:31:54.0,5 +probability,86015,Amazon interview question—probability of 2nd interview,99,2014-02-17 02:14:57.0,14 +r,1595,Python as a statistics workbench,192,2013-07-04 17:03:39.0,21 +regression,13314,Is $R^2$ useful or dangerous?,106,2013-01-10 12:45:33.0,6 +repeated-measures,29713,What is covariance in plain language?,30,2012-06-07 11:14:17.0,2 +sampling,35971,Is sampling relevant in the time of 'big data'?,32,,8 +self-study,70490,Taking the expectation of Taylor series (especially the remainder),20,2013-09-22 09:00:47.0,4 +spss,1595,Python as a statistics workbench,192,2013-07-04 17:03:39.0,21 +statistical-significance,10510,What are good references containing arguments against null hypothesis significance testing?,40,2011-06-23 18:32:36.0,2 +statistical-significance,55691,"Regarding p-values, why 1% and 5%? Why not 6% or 10%?",40,2014-05-29 02:27:21.0,8 +survival,1053,References for Survival Analysis,17,2010-10-21 13:39:03.0,11 +survival,1736,Survival Analysis tools in Python,17,2010-09-16 12:33:26.0,7 +svm,3947,Help me understand Support Vector Machines,46,2010-10-26 19:45:29.0,1 +t-test,31,What is the meaning of p values and t values in statistical tests?,66,2013-10-13 16:33:10.0,10 +time-series,11414,"Do we have a problem of ""pity upvotes""?",40,2011-06-03 14:54:01.0,3 +variance,18058,How would you explain covariance to someone who understands only the mean?,46,2011-11-08 04:17:14.0,7 diff --git a/tasks/readable/083/gold_csv/GQRY-B.1-C.1.csv b/tasks/readable/083/gold_csv/GQRY-B.1-C.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..3ddc046c3bf01d999880c52a07067115ff78343d --- /dev/null +++ b/tasks/readable/083/gold_csv/GQRY-B.1-C.1.csv @@ -0,0 +1,52 @@ +TagName,PostId,Title,Score,LastEditDate,CommentCount +anova,555,Why is ANOVA taught / used as if it is a different research methodology compared to linear regression?,46,2012-08-18 16:21:38.0,3 +bayesian,22,Bayesian and frequentist reasoning in plain English,102,2011-10-04 07:05:14.0,1 +categorical-data,5774,Can principal component analysis be applied to datasets containing a mix of continuous and categorical variables?,47,2011-10-02 03:16:44.0,0 +chi-squared,14226,"Given the power of computers these days, is there ever a reason to do a chi-squared test rather than Fisher's exact test?",47,2013-07-21 18:23:37.0,10 +classification,3947,Help me understand Support Vector Machines,46,2010-10-26 19:45:29.0,1 +clustering,7224,Detecting a given face in a database of facial images,89,2011-02-15 15:22:25.0,10 +confidence-interval,26450,Why does a 95% CI not imply a 95% chance of containing the mean?,90,,9 +correlation,83136,Is Facebook coming to an end?,110,2014-01-27 02:11:52.0,23 +cross-validation,577,Is there any reason to prefer the AIC or BIC over the other?,79,2010-07-25 05:09:18.0,2 +data-mining,5026,"What is the difference between data mining, statistics, machine learning and AI?",68,,10 +data-transformation,1444,How should I transform non-negative data including zeros?,66,2011-04-29 00:20:08.0,5 +data-transformation,8225,How to summarize data by group in R?,66,2011-03-13 15:20:27.0,6 +data-visualization,51718,Assessing approximate distribution of data based on a histogram,43,2014-03-30 04:05:19.0,1 +dataset,7,Locating freely available data samples,76,2013-09-26 21:50:36.0,3 +distributions,47771,What is the intuition behind beta distribution?,85,2013-10-02 09:06:29.0,2 +estimation,30604,Computing Cohen's Kappa variance (and standard errors),32,2013-02-02 18:41:33.0,6 +forecasting,86767,"AIC,BIC,CIC,DIC,EIC,FIC,GIC,HIC,IIC --- Can I use them interchangeably?",27,2014-02-17 23:56:05.0,1 +generalized-linear-model,20523,Difference between logit and probit models,87,2013-09-08 13:29:58.0,1 +hypothesis-testing,83136,Is Facebook coming to an end?,110,2014-01-27 02:11:52.0,23 +interaction,11009,Including the interaction but not the main effects in a model,37,2011-05-20 09:20:21.0,4 +logistic,20523,Difference between logit and probit models,87,2013-09-08 13:29:58.0,1 +machine-learning,6,The Two Cultures: statistics vs. machine learning?,152,2013-06-07 06:38:10.0,5 +mathematical-statistics,485,Mathematical Statistics Videos,48,2010-07-22 14:06:03.0,3 +matlab,10540,How to interpret mean of Silhouette plot?,15,2011-05-09 06:43:41.0,5 +maximum-likelihood,80380,Examples where method of moments can beat maximum likelihood in small samples?,26,2014-08-26 23:37:00.0,11 +mixed-model,4700,"What is the difference between fixed effect, random effect and mixed effect models?",40,2010-11-19 07:58:26.0,2 +mixed-model,5344,How to choose nlme or lme4 R library for mixed effects models?,40,2013-09-04 15:59:13.0,0 +model-selection,577,Is there any reason to prefer the AIC or BIC over the other?,79,2010-07-25 05:09:18.0,2 +modeling,577,Is there any reason to prefer the AIC or BIC over the other?,79,2010-07-25 05:09:18.0,2 +multiple-regression,29781,When should you center your data & when should you standardize?,51,2012-06-04 17:06:39.0,5 +multivariate-analysis,7815,What skills are required to perform large scale statistical analyses?,63,2011-03-06 21:39:42.0,3 +neural-networks,181,How to choose the number of hidden layers and nodes in a feedforward neural network?,50,2013-08-30 01:49:40.0,0 +nonparametric,1164,Why haven't robust (and resistant) statistics replaced classical techniques?,50,2012-11-09 06:06:02.0,3 +normal-distribution,4220,A Probability distribution value exceeding 1 is OK?,44,2013-09-20 15:53:05.0,3 +pca,2691,"Making sense of principal component analysis, eigenvectors & eigenvalues",184,2013-06-19 22:14:36.0,10 +predictive-models,2234,Alternatives to logistic regression in R,34,2011-11-22 14:31:54.0,4 +probability,86015,Amazon interview question—probability of 2nd interview,99,2014-02-17 02:14:57.0,35 +r,1595,Python as a statistics workbench,192,2013-07-04 17:03:39.0,3 +regression,13314,Is $R^2$ useful or dangerous?,106,2013-01-10 12:45:33.0,3 +repeated-measures,29713,What is covariance in plain language?,30,2012-06-07 11:14:17.0,2 +sampling,35971,Is sampling relevant in the time of 'big data'?,32,,3 +self-study,70490,Taking the expectation of Taylor series (especially the remainder),20,2013-09-22 09:00:47.0,9 +spss,1595,Python as a statistics workbench,192,2013-07-04 17:03:39.0,3 +statistical-significance,10510,What are good references containing arguments against null hypothesis significance testing?,40,2011-06-23 18:32:36.0,4 +statistical-significance,55691,"Regarding p-values, why 1% and 5%? Why not 6% or 10%?",40,2014-05-29 02:27:21.0,1 +survival,1053,References for Survival Analysis,17,2010-10-21 13:39:03.0,1 +survival,1736,Survival Analysis tools in Python,17,2010-09-16 12:33:26.0,2 +svm,3947,Help me understand Support Vector Machines,46,2010-10-26 19:45:29.0,1 +t-test,31,What is the meaning of p values and t values in statistical tests?,66,2013-10-13 16:33:10.0,3 +time-series,11414,"Do we have a problem of ""pity upvotes""?",40,2011-06-03 14:54:01.0,8 +variance,18058,How would you explain covariance to someone who understands only the mean?,46,2011-11-08 04:17:14.0,3 diff --git a/tasks/readable/083/gold_csv/GQRY-B.1-C.2.csv b/tasks/readable/083/gold_csv/GQRY-B.1-C.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..5eaa02015a911926016c70be3d5b020b97bdb675 --- /dev/null +++ b/tasks/readable/083/gold_csv/GQRY-B.1-C.2.csv @@ -0,0 +1,52 @@ +TagName,PostId,Title,Score,LastEditDate,AnswerCommentCount +anova,555,Why is ANOVA taught / used as if it is a different research methodology compared to linear regression?,46,2012-08-18 16:21:38.0,8 +bayesian,22,Bayesian and frequentist reasoning in plain English,102,2011-10-04 07:05:14.0,16 +categorical-data,5774,Can principal component analysis be applied to datasets containing a mix of continuous and categorical variables?,47,2011-10-02 03:16:44.0,3 +chi-squared,14226,"Given the power of computers these days, is there ever a reason to do a chi-squared test rather than Fisher's exact test?",47,2013-07-21 18:23:37.0,12 +classification,3947,Help me understand Support Vector Machines,46,2010-10-26 19:45:29.0,2 +clustering,7224,Detecting a given face in a database of facial images,89,2011-02-15 15:22:25.0,18 +confidence-interval,26450,Why does a 95% CI not imply a 95% chance of containing the mean?,90,,17 +correlation,83136,Is Facebook coming to an end?,110,2014-01-27 02:11:52.0,31 +cross-validation,577,Is there any reason to prefer the AIC or BIC over the other?,79,2010-07-25 05:09:18.0,12 +data-mining,5026,"What is the difference between data mining, statistics, machine learning and AI?",68,,21 +data-transformation,1444,How should I transform non-negative data including zeros?,66,2011-04-29 00:20:08.0,14 +data-transformation,8225,How to summarize data by group in R?,66,2011-03-13 15:20:27.0,15 +data-visualization,51718,Assessing approximate distribution of data based on a histogram,43,2014-03-30 04:05:19.0,4 +dataset,7,Locating freely available data samples,76,2013-09-26 21:50:36.0,27 +distributions,47771,What is the intuition behind beta distribution?,85,2013-10-02 09:06:29.0,7 +estimation,30604,Computing Cohen's Kappa variance (and standard errors),32,2013-02-02 18:41:33.0,7 +forecasting,86767,"AIC,BIC,CIC,DIC,EIC,FIC,GIC,HIC,IIC --- Can I use them interchangeably?",27,2014-02-17 23:56:05.0,4 +generalized-linear-model,20523,Difference between logit and probit models,87,2013-09-08 13:29:58.0,6 +hypothesis-testing,83136,Is Facebook coming to an end?,110,2014-01-27 02:11:52.0,31 +interaction,11009,Including the interaction but not the main effects in a model,37,2011-05-20 09:20:21.0,16 +logistic,20523,Difference between logit and probit models,87,2013-09-08 13:29:58.0,6 +machine-learning,6,The Two Cultures: statistics vs. machine learning?,152,2013-06-07 06:38:10.0,20 +mathematical-statistics,485,Mathematical Statistics Videos,48,2010-07-22 14:06:03.0,22 +matlab,10540,How to interpret mean of Silhouette plot?,15,2011-05-09 06:43:41.0,8 +maximum-likelihood,80380,Examples where method of moments can beat maximum likelihood in small samples?,26,2014-08-26 23:37:00.0,16 +mixed-model,4700,"What is the difference between fixed effect, random effect and mixed effect models?",40,2010-11-19 07:58:26.0,6 +mixed-model,5344,How to choose nlme or lme4 R library for mixed effects models?,40,2013-09-04 15:59:13.0,4 +model-selection,577,Is there any reason to prefer the AIC or BIC over the other?,79,2010-07-25 05:09:18.0,12 +modeling,577,Is there any reason to prefer the AIC or BIC over the other?,79,2010-07-25 05:09:18.0,12 +multiple-regression,29781,When should you center your data & when should you standardize?,51,2012-06-04 17:06:39.0,13 +multivariate-analysis,7815,What skills are required to perform large scale statistical analyses?,63,2011-03-06 21:39:42.0,8 +neural-networks,181,How to choose the number of hidden layers and nodes in a feedforward neural network?,50,2013-08-30 01:49:40.0,4 +nonparametric,1164,Why haven't robust (and resistant) statistics replaced classical techniques?,50,2012-11-09 06:06:02.0,15 +normal-distribution,4220,A Probability distribution value exceeding 1 is OK?,44,2013-09-20 15:53:05.0,6 +pca,2691,"Making sense of principal component analysis, eigenvectors & eigenvalues",184,2013-06-19 22:14:36.0,35 +predictive-models,2234,Alternatives to logistic regression in R,34,2011-11-22 14:31:54.0,9 +probability,86015,Amazon interview question—probability of 2nd interview,99,2014-02-17 02:14:57.0,49 +r,1595,Python as a statistics workbench,192,2013-07-04 17:03:39.0,24 +regression,13314,Is $R^2$ useful or dangerous?,106,2013-01-10 12:45:33.0,9 +repeated-measures,29713,What is covariance in plain language?,30,2012-06-07 11:14:17.0,4 +sampling,35971,Is sampling relevant in the time of 'big data'?,32,,11 +self-study,70490,Taking the expectation of Taylor series (especially the remainder),20,2013-09-22 09:00:47.0,13 +spss,1595,Python as a statistics workbench,192,2013-07-04 17:03:39.0,24 +statistical-significance,10510,What are good references containing arguments against null hypothesis significance testing?,40,2011-06-23 18:32:36.0,6 +statistical-significance,55691,"Regarding p-values, why 1% and 5%? Why not 6% or 10%?",40,2014-05-29 02:27:21.0,9 +survival,1053,References for Survival Analysis,17,2010-10-21 13:39:03.0,12 +survival,1736,Survival Analysis tools in Python,17,2010-09-16 12:33:26.0,9 +svm,3947,Help me understand Support Vector Machines,46,2010-10-26 19:45:29.0,2 +t-test,31,What is the meaning of p values and t values in statistical tests?,66,2013-10-13 16:33:10.0,13 +time-series,11414,"Do we have a problem of ""pity upvotes""?",40,2011-06-03 14:54:01.0,11 +variance,18058,How would you explain covariance to someone who understands only the mean?,46,2011-11-08 04:17:14.0,10 diff --git a/tasks/readable/083/task_readable.sql b/tasks/readable/083/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..d82399f93b904ac3b7bb8827bbab5838e8cd28a7 --- /dev/null +++ b/tasks/readable/083/task_readable.sql @@ -0,0 +1,414 @@ +/* +{ + "qid": "083", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "codebase_community", + "question": "For each tag with many occurences (tags.Count), find the post with the highest score and its last update timestamp and reply count.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "many occurences", + "type": "infinite", + "ambiguity_type": "semantic_value", + "parameter_name": "count_threshold", + "parameter_dtype": "int", + "parameter_sample_operators": [ + ">", + ">=" + ], + "parameter_sample_values": [ + 500 + ], + "intended_parameter_operator": ">=", + "intended_parameter_value": 500 + }, + { + "id": "B", + "phrase": "last update timestamp", + "type": "finite", + "ambiguity_type": "semantic_column", + "interpretations": [ + "last activity date", + "last edit date" + ], + "intended_interpretation_idx": 0 + }, + { + "id": "C", + "phrase": "reply count", + "type": "finite", + "ambiguity_type": "semantic_column", + "interpretations": [ + "answer count", + "comment count", + "answer and comment count" + ], + "intended_interpretation_idx": 1 + } + ], + "gold_intended_query_id": "GQRY-B.0-C.1", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-B.0-C.0` ----- +/* +{ + "id": "GQRY-B.0-C.0", + "parameter_names": [ + "count_threshold" + ], + "parameter_values": { + "count_threshold": 500 + }, + "other_exec_results": [], + "required_columns": [ + 0, + 1, + 4, + 5 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] many occurences": ":count_threshold", + "[B] last update timestamp": "last activity date", + "[C] reply count": "answer count" + } + } +} +*/ +WITH tag_posts AS ( +SELECT +t.TagName, +p.Id AS PostId, +p.Title, +p.LasActivityDate, +p.AnswerCount, +p.Score, +RANK() OVER (PARTITION BY t.TagName ORDER BY p.Score DESC) AS rn +FROM tags t +JOIN posts p ON p.Tags LIKE '%<' || t.TagName || '>%' +WHERE t.Count >= :count_threshold +) +SELECT TagName, PostId, Title, Score, LasActivityDate, AnswerCount +FROM tag_posts +WHERE rn = 1; +/* EXEC RESULT + TagName PostId Title Score LasActivityDate AnswerCount + anova 555 Why is ANOVA taught / used as if it is a different research methodology compared to linear regression? 46 2013-10-20 07:55:31.0 5 + bayesian 22 Bayesian and frequentist reasoning in plain English 102 2014-06-05 02:06:32.0 15 +categorical-data 5774 Can principal component analysis be applied to datasets containing a mix of continuous and categorical variables? 47 2014-02-13 20:09:38.0 3 + chi-squared 14226 Given the power of computers these days, is there ever a reason to do a chi-squared test rather than Fisher's exact test? 47 2013-07-21 18:23:37.0 2 + classification 3947 Help me understand Support Vector Machines 46 2010-10-26 19:45:29.0 1 +... TRUNCATED ... + survival 1736 Survival Analysis tools in Python 17 2014-06-08 17:09:05.0 7 + svm 3947 Help me understand Support Vector Machines 46 2010-10-26 19:45:29.0 1 + t-test 31 What is the meaning of p values and t values in statistical tests? 66 2014-07-19 03:34:11.0 10 + time-series 11414 Do we have a problem of "pity upvotes"? 40 2011-06-04 19:07:31.0 3 + variance 18058 How would you explain covariance to someone who understands only the mean? 46 2014-08-11 02:21:33.0 7 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-B.0-C.1` ----- +/* +{ + "id": "GQRY-B.0-C.1", + "parameter_names": [ + "count_threshold" + ], + "parameter_values": { + "count_threshold": 500 + }, + "other_exec_results": [], + "required_columns": [ + 0, + 1, + 4, + 5 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] many occurences": ":count_threshold", + "[B] last update timestamp": "last activity date", + "[C] reply count": "comment count" + } + } +} +*/ +WITH tag_posts AS ( +SELECT +t.TagName, +p.Id AS PostId, +p.Title, +p.LasActivityDate, +p.CommentCount, +p.Score, +RANK() OVER (PARTITION BY t.TagName ORDER BY p.Score DESC) AS rn +FROM tags t +JOIN posts p ON p.Tags LIKE '%<' || t.TagName || '>%' +WHERE t.Count >= :count_threshold +) +SELECT TagName, PostId, Title, Score, LasActivityDate, CommentCount +FROM tag_posts +WHERE rn = 1; +/* EXEC RESULT + TagName PostId Title Score LasActivityDate CommentCount + anova 555 Why is ANOVA taught / used as if it is a different research methodology compared to linear regression? 46 2013-10-20 07:55:31.0 3 + bayesian 22 Bayesian and frequentist reasoning in plain English 102 2014-06-05 02:06:32.0 1 +categorical-data 5774 Can principal component analysis be applied to datasets containing a mix of continuous and categorical variables? 47 2014-02-13 20:09:38.0 0 + chi-squared 14226 Given the power of computers these days, is there ever a reason to do a chi-squared test rather than Fisher's exact test? 47 2013-07-21 18:23:37.0 10 + classification 3947 Help me understand Support Vector Machines 46 2010-10-26 19:45:29.0 1 +... TRUNCATED ... + survival 1736 Survival Analysis tools in Python 17 2014-06-08 17:09:05.0 2 + svm 3947 Help me understand Support Vector Machines 46 2010-10-26 19:45:29.0 1 + t-test 31 What is the meaning of p values and t values in statistical tests? 66 2014-07-19 03:34:11.0 3 + time-series 11414 Do we have a problem of "pity upvotes"? 40 2011-06-04 19:07:31.0 8 + variance 18058 How would you explain covariance to someone who understands only the mean? 46 2014-08-11 02:21:33.0 3 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-B.0-C.2` ----- +/* +{ + "id": "GQRY-B.0-C.2", + "parameter_names": [ + "count_threshold" + ], + "parameter_values": { + "count_threshold": 500 + }, + "other_exec_results": [], + "required_columns": [ + 0, + 1, + 4, + 5 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] many occurences": ":count_threshold", + "[B] last update timestamp": "last activity date", + "[C] reply count": "answer and comment count" + } + } +} +*/ +WITH tag_posts AS ( +SELECT +t.TagName, +p.Id AS PostId, +p.Title, +p.LasActivityDate, +COALESCE(p.AnswerCount, 0) + p.CommentCount AS AnswerCommentCount, +p.Score, +RANK() OVER (PARTITION BY t.TagName ORDER BY p.Score DESC) AS rn +FROM tags t +JOIN posts p ON p.Tags LIKE '%<' || t.TagName || '>%' +WHERE t.Count >= :count_threshold +) +SELECT TagName, PostId, Title, Score, LasActivityDate, AnswerCommentCount +FROM tag_posts +WHERE rn = 1; +/* EXEC RESULT + TagName PostId Title Score LasActivityDate AnswerCommentCount + anova 555 Why is ANOVA taught / used as if it is a different research methodology compared to linear regression? 46 2013-10-20 07:55:31.0 8 + bayesian 22 Bayesian and frequentist reasoning in plain English 102 2014-06-05 02:06:32.0 16 +categorical-data 5774 Can principal component analysis be applied to datasets containing a mix of continuous and categorical variables? 47 2014-02-13 20:09:38.0 3 + chi-squared 14226 Given the power of computers these days, is there ever a reason to do a chi-squared test rather than Fisher's exact test? 47 2013-07-21 18:23:37.0 12 + classification 3947 Help me understand Support Vector Machines 46 2010-10-26 19:45:29.0 2 +... TRUNCATED ... + survival 1736 Survival Analysis tools in Python 17 2014-06-08 17:09:05.0 9 + svm 3947 Help me understand Support Vector Machines 46 2010-10-26 19:45:29.0 2 + t-test 31 What is the meaning of p values and t values in statistical tests? 66 2014-07-19 03:34:11.0 13 + time-series 11414 Do we have a problem of "pity upvotes"? 40 2011-06-04 19:07:31.0 11 + variance 18058 How would you explain covariance to someone who understands only the mean? 46 2014-08-11 02:21:33.0 10 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-B.1-C.0` ----- +/* +{ + "id": "GQRY-B.1-C.0", + "parameter_names": [ + "count_threshold" + ], + "parameter_values": { + "count_threshold": 500 + }, + "other_exec_results": [], + "required_columns": [ + 0, + 1, + 4, + 5 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] many occurences": ":count_threshold", + "[B] last update timestamp": "last edit date", + "[C] reply count": "answer count" + } + } +} +*/ +WITH tag_posts AS ( +SELECT +t.TagName, +p.Id AS PostId, +p.Title, +p.LastEditDate, +p.AnswerCount, +p.Score, +RANK() OVER (PARTITION BY t.TagName ORDER BY p.Score DESC) AS rn +FROM tags t +JOIN posts p ON p.Tags LIKE '%<' || t.TagName || '>%' +WHERE t.Count >= :count_threshold +) +SELECT TagName, PostId, Title, Score, LastEditDate, AnswerCount +FROM tag_posts +WHERE rn = 1; +/* EXEC RESULT + TagName PostId Title Score LastEditDate AnswerCount + anova 555 Why is ANOVA taught / used as if it is a different research methodology compared to linear regression? 46 2012-08-18 16:21:38.0 5 + bayesian 22 Bayesian and frequentist reasoning in plain English 102 2011-10-04 07:05:14.0 15 +categorical-data 5774 Can principal component analysis be applied to datasets containing a mix of continuous and categorical variables? 47 2011-10-02 03:16:44.0 3 + chi-squared 14226 Given the power of computers these days, is there ever a reason to do a chi-squared test rather than Fisher's exact test? 47 2013-07-21 18:23:37.0 2 + classification 3947 Help me understand Support Vector Machines 46 2010-10-26 19:45:29.0 1 +... TRUNCATED ... + survival 1736 Survival Analysis tools in Python 17 2010-09-16 12:33:26.0 7 + svm 3947 Help me understand Support Vector Machines 46 2010-10-26 19:45:29.0 1 + t-test 31 What is the meaning of p values and t values in statistical tests? 66 2013-10-13 16:33:10.0 10 + time-series 11414 Do we have a problem of "pity upvotes"? 40 2011-06-03 14:54:01.0 3 + variance 18058 How would you explain covariance to someone who understands only the mean? 46 2011-11-08 04:17:14.0 7 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-B.1-C.1` ----- +/* +{ + "id": "GQRY-B.1-C.1", + "parameter_names": [ + "count_threshold" + ], + "parameter_values": { + "count_threshold": 500 + }, + "other_exec_results": [], + "required_columns": [ + 0, + 1, + 4, + 5 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] many occurences": ":count_threshold", + "[B] last update timestamp": "last edit date", + "[C] reply count": "comment count" + } + } +} +*/ +WITH tag_posts AS ( +SELECT +t.TagName, +p.Id AS PostId, +p.Title, +p.LastEditDate, +p.CommentCount, +p.Score, +RANK() OVER (PARTITION BY t.TagName ORDER BY p.Score DESC) AS rn +FROM tags t +JOIN posts p ON p.Tags LIKE '%<' || t.TagName || '>%' +WHERE t.Count >= :count_threshold +) +SELECT TagName, PostId, Title, Score, LastEditDate, CommentCount +FROM tag_posts +WHERE rn = 1; +/* EXEC RESULT + TagName PostId Title Score LastEditDate CommentCount + anova 555 Why is ANOVA taught / used as if it is a different research methodology compared to linear regression? 46 2012-08-18 16:21:38.0 3 + bayesian 22 Bayesian and frequentist reasoning in plain English 102 2011-10-04 07:05:14.0 1 +categorical-data 5774 Can principal component analysis be applied to datasets containing a mix of continuous and categorical variables? 47 2011-10-02 03:16:44.0 0 + chi-squared 14226 Given the power of computers these days, is there ever a reason to do a chi-squared test rather than Fisher's exact test? 47 2013-07-21 18:23:37.0 10 + classification 3947 Help me understand Support Vector Machines 46 2010-10-26 19:45:29.0 1 +... TRUNCATED ... + survival 1736 Survival Analysis tools in Python 17 2010-09-16 12:33:26.0 2 + svm 3947 Help me understand Support Vector Machines 46 2010-10-26 19:45:29.0 1 + t-test 31 What is the meaning of p values and t values in statistical tests? 66 2013-10-13 16:33:10.0 3 + time-series 11414 Do we have a problem of "pity upvotes"? 40 2011-06-03 14:54:01.0 8 + variance 18058 How would you explain covariance to someone who understands only the mean? 46 2011-11-08 04:17:14.0 3 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-B.1-C.2` ----- +/* +{ + "id": "GQRY-B.1-C.2", + "parameter_names": [ + "count_threshold" + ], + "parameter_values": { + "count_threshold": 500 + }, + "other_exec_results": [], + "required_columns": [ + 0, + 1, + 4, + 5 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] many occurences": ":count_threshold", + "[B] last update timestamp": "last edit date", + "[C] reply count": "answer and comment count" + } + } +} +*/ +WITH tag_posts AS ( +SELECT +t.TagName, +p.Id AS PostId, +p.Title, +p.LastEditDate, +COALESCE(p.AnswerCount, 0) + p.CommentCount AS AnswerCommentCount, +p.Score, +RANK() OVER (PARTITION BY t.TagName ORDER BY p.Score DESC) AS rn +FROM tags t +JOIN posts p ON p.Tags LIKE '%<' || t.TagName || '>%' +WHERE t.Count >= :count_threshold +) +SELECT TagName, PostId, Title, Score, LastEditDate, AnswerCommentCount +FROM tag_posts +WHERE rn = 1; +/* EXEC RESULT + TagName PostId Title Score LastEditDate AnswerCommentCount + anova 555 Why is ANOVA taught / used as if it is a different research methodology compared to linear regression? 46 2012-08-18 16:21:38.0 8 + bayesian 22 Bayesian and frequentist reasoning in plain English 102 2011-10-04 07:05:14.0 16 +categorical-data 5774 Can principal component analysis be applied to datasets containing a mix of continuous and categorical variables? 47 2011-10-02 03:16:44.0 3 + chi-squared 14226 Given the power of computers these days, is there ever a reason to do a chi-squared test rather than Fisher's exact test? 47 2013-07-21 18:23:37.0 12 + classification 3947 Help me understand Support Vector Machines 46 2010-10-26 19:45:29.0 2 +... TRUNCATED ... + survival 1736 Survival Analysis tools in Python 17 2010-09-16 12:33:26.0 9 + svm 3947 Help me understand Support Vector Machines 46 2010-10-26 19:45:29.0 2 + t-test 31 What is the meaning of p values and t values in statistical tests? 66 2013-10-13 16:33:10.0 13 + time-series 11414 Do we have a problem of "pity upvotes"? 40 2011-06-03 14:54:01.0 11 + variance 18058 How would you explain covariance to someone who understands only the mean? 46 2011-11-08 04:17:14.0 10 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/084/gold_csv/GQRY-A.0.csv b/tasks/readable/084/gold_csv/GQRY-A.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..651e50cee794edd39a021300deba67ab3e4e2821 --- /dev/null +++ b/tasks/readable/084/gold_csv/GQRY-A.0.csv @@ -0,0 +1,57 @@ +Id,Title +8787,Generalized linear latent and mixed model (GLLAMM) for crossed factors +9082, +9245, +9524, +9814,Multiplicative mixed models for analyzing variety-by-environment data +9895,Having trouble with nls function in R +9899, +9900, +9901, +9935, +10173, +10429,Fitting multivariate linear mixed model in R +10431, +10532,Reference or book on simulation of experimental design data in R +11005, +11424, +11607,Fitting conditional functions in nls +11608, +11747, +11919,Convex Hull in R +11921, +11922, +12301,Is this a repeated measures experiment? +12315, +12581, +13175, +15192, +15904,Resources and R code for analysing advanced experimental designs? +17344, +17348, +18007, +18709,lme4 or other open source R package code equivalent to asreml-R +19881, +19914,Programming a new random effects structure in lme +20854,Calculation confidence interval for estimated logit in logistic regression in R +23198, +26857, +26866, +27607,"What does mean by ""the cumulative frequency in the form of probits""?" +27657, +28229,Variance of the product of a random matrix and a random vector +28231, +28311,Variance-covariance matrix for structural parameters in simultaneous equation models +28368,Properties of spectral decomposition +29509, +32696,Taylor Series and Multivariate Delta Method +32725,Variance covariance matrix for the inverse of a matrix +33518,Pairwise Mahalanobis distance in R +46473,"Partial, adjusted or Type-III SS of factorial experiment in R" +46545, +52350, +67028,Will it be more useful to study Sage+Python or R in statistics? +77048,"Taylor series expansion of maximum likelihood estimator, Newton-Raphson, Fisher scoring and distribution of MLE by Delta method" +77051, +89337,What is the null hypothesis in the definition of Sensitivity and Specificity? +93544, diff --git a/tasks/readable/084/gold_csv/GQRY-A.1.csv b/tasks/readable/084/gold_csv/GQRY-A.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..f08f8fb618c963691697a242ef8e863d2f61a1bd --- /dev/null +++ b/tasks/readable/084/gold_csv/GQRY-A.1.csv @@ -0,0 +1,38 @@ +Id,Title +8787,Generalized linear latent and mixed model (GLLAMM) for crossed factors +9099,How to perform diallel analysis in R? +9121,Individuals standard deviations and/or standard errors for groups after implementing ANOVA? +9242,What is the meaning of an F value less than 1 in one-way ANOVA? +9461,Testing significance of factors and covariates along with modeling causality among responses +9490,Singular value decomposition of a three-dimensional array +9814,Multiplicative mixed models for analyzing variety-by-environment data +9895,Having trouble with nls function in R +10169,$\\chi^2$ test of homogeneity for three-way contingency table +10337,"$\\mathrm{Var}(X^2)$, if $\\mathrm{Var}(X)=\\sigma^2$" +10429,Fitting multivariate linear mixed model in R +10532,Reference or book on simulation of experimental design data in R +11004,Checking $R$ functions arguments +11607,Fitting conditional functions in nls +11919,Convex Hull in R +12301,Is this a repeated measures experiment? +13171,What are the distributions of these random variables? +15192, +15904,Resources and R code for analysing advanced experimental designs? +18007, +23197,Type III sum of squares from SAS and R +26866, +27607,"What does mean by ""the cumulative frequency in the form of probits""?" +28229,Variance of the product of a random matrix and a random vector +28311,Variance-covariance matrix for structural parameters in simultaneous equation models +28368,Properties of spectral decomposition +28412,What statistical test should be used to accomplish the objectives of the experiment +30721, +32696,Taylor Series and Multivariate Delta Method +32725,Variance covariance matrix for the inverse of a matrix +44592,Generalized Least Squares: Estimation of Variance-Covariance matrix +46473,"Partial, adjusted or Type-III SS of factorial experiment in R" +77048,"Taylor series expansion of maximum likelihood estimator, Newton-Raphson, Fisher scoring and distribution of MLE by Delta method" +79094, +80515, +89337,What is the null hypothesis in the definition of Sensitivity and Specificity? +108546, diff --git a/tasks/readable/084/task_readable.sql b/tasks/readable/084/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..a339f1504f28487f31774dc95f1218bb3961f1bc --- /dev/null +++ b/tasks/readable/084/task_readable.sql @@ -0,0 +1,109 @@ +/* +{ + "qid": "084", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "codebase_community", + "question": "List the posts with negative comments authored by MYaseen208.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "authored by MYaseen208", + "type": "finite", + "ambiguity_type": "syntactic_table", + "interpretations": [ + "comments authored by MYaseen208", + "posts authored by MYaseen208" + ], + "intended_interpretation_idx": 0 + } + ], + "gold_intended_query_id": "GQRY-A.0", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0` ----- +/* +{ + "id": "GQRY-A.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 0 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] authored by MYaseen208": "comments authored by MYaseen208" + } + } +} +*/ +SELECT DISTINCT p.Id, p.Title +FROM posts p +JOIN comments c ON p.Id = c.PostId +JOIN users u ON c.UserId = u.Id +WHERE u.DisplayName = 'MYaseen208' +AND c.Score < 60 +ORDER BY p.Id; +/* EXEC RESULT + Id Title + 8787 Generalized linear latent and mixed model (GLLAMM) for crossed factors + 9082 None + 9245 None + 9524 None + 9814 Multiplicative mixed models for analyzing variety-by-environment data +... TRUNCATED ... +67028 Will it be more useful to study Sage+Python or R in statistics? +77048 Taylor series expansion of maximum likelihood estimator, Newton-Raphson, Fisher scoring and distribution of MLE by Delta method +77051 None +89337 What is the null hypothesis in the definition of Sensitivity and Specificity? +93544 None +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1` ----- +/* +{ + "id": "GQRY-A.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 0 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] authored by MYaseen208": "posts authored by MYaseen208" + } + } +} +*/ +SELECT DISTINCT p.Id, p.Title +FROM posts p +JOIN comments c ON p.Id = c.PostId +JOIN users u ON p.OwnerUserId = u.Id +WHERE u.DisplayName = 'MYaseen208' +AND c.Score < 60 +ORDER BY p.Id; +/* EXEC RESULT + Id Title + 8787 Generalized linear latent and mixed model (GLLAMM) for crossed factors + 9099 How to perform diallel analysis in R? + 9121 Individuals standard deviations and/or standard errors for groups after implementing ANOVA? + 9242 What is the meaning of an F value less than 1 in one-way ANOVA? + 9461 Testing significance of factors and covariates along with modeling causality among responses +... TRUNCATED ... + 77048 Taylor series expansion of maximum likelihood estimator, Newton-Raphson, Fisher scoring and distribution of MLE by Delta method + 79094 None + 80515 None + 89337 What is the null hypothesis in the definition of Sensitivity and Specificity? +108546 None +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/085/gold_csv/GQRY-A.0.csv b/tasks/readable/085/gold_csv/GQRY-A.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..35c2967c1dc3054eda59d43e450be836c9515ab3 --- /dev/null +++ b/tasks/readable/085/gold_csv/GQRY-A.0.csv @@ -0,0 +1,131 @@ +Location,num_users +"AHMEDABD,INDIA",0 +ATL,0 +Aachen Germany,0 +"Aachen, Germany",0 +"Aalborg, Denmark",0 +"Aalen, Germany",0 +"Aalto University, Finland",0 +"Aarhus, Denmark",0 +"Abbotsford, Canada",0 +"Aberdeen, United Kingdom",1 +Aberdeenshire,0 +"Abersychan, United Kingdom",1 +"Accra, Ghana",0 +"Acton Vale, Canada",1 +"Adana, Turkey",0 +"Adelaide, Australia",1 +"Ado Ekiti, Nigeria",0 +"Ageo-shi, Japan",0 +"Ahmadabad, India",0 +"Ahmedabad, India",0 +"Ahmedabad,Gujarat,India",0 +"Aichi Prefecture, Japan",0 +"Aiken, SC",0 +"Aiken, SC, USA",0 +"Aim the drones at Greencastle, IN",0 +"Akron, OH",0 +"AlMaadi, Cairo, Egypt",0 +Alabama,0 +"Alameda, CA",0 +"Alamo, CA",1 +Alaska,0 +Albania,0 +"Albany, NY",2 +Alberta,0 +"Alberta, Canada",1 +"Albuquerque, NM",0 +"Albuquerque, NM, United States",0 +"Alexandria, Egypt",0 +"Alexandria, VA",0 +Algeria,0 +"Algiers, Algeria",0 +"Alicante, Spain",0 +All over the world,0 +"Allahabad, India",0 +"Allerød, Denmark",0 +"Almada, Portugal",0 +"Altadena, CA",0 +"Altai, Russia",0 +"Altstätten, Switzerland",0 +America,0 +"Amersfoort, Netherlands",0 +Ames,0 +Ames IA,1 +"Ames, IA",3 +"Amherst, MA",1 +"Amite, LA",0 +"Amman, Jordan",0 +"Amritsar, India",0 +"Amstelveen, The Netherlands",0 +Amsterdam,1 +"Amsterdam, NL",0 +"Amsterdam, Netherlands",2 +"Amsterdam, The Netherlands",2 +"Amsterdam, the Netherlands",0 +"Anacortes, WA",0 +"Anchorage, AK",0 +Ankara,0 +"Ankara, Turkey",1 +"Ankara/Istanbul, Turkey",0 +Ann Arbor,1 +Ann Arbor / Detroit,0 +"Ann Arbor, MI",1 +"Annapolis, MD",0 +Annecy,0 +"Antananarivo, Madagascar",0 +Antarctica,0 +Antibes,0 +"Antibes, France",1 +"Antwerp, Belgium",2 +"Antwerp/Leuven, Belgium",0 +"Aptos, CA",0 +Arcadia,0 +"Arcadia, CA",0 +"Arenys de Mar, Spain",0 +Argentina,4 +Arizona,2 +Arkansas,0 +"Arkansas, United States",0 +Arlington,0 +"Arlington, MA",1 +"Arlington, TX",0 +"Arlington, VA",0 +Armenia,0 +"Arnhem, Netherlands",0 +Aruba,0 +"Arusha, Tanzania",0 +"Ashburn, VA",1 +"Asheville, NC",1 +"Ashford, United Kingdom",0 +"Ashgabat, Turkmenistan",0 +"Ashmore, United Kingdom",0 +Asia,0 +Asker,0 +"Aston University, United Kingdom",0 +"Athens, GA",0 +"Athens, Greece",2 +"Athens, OH",0 +Atlanta,1 +"Atlanta, GA",6 +"Atlanta, GA / Boston, MA",0 +"Atlanta, Georgia",0 +"Atlantis, FL",0 +Au,0 +"Auburn, CA",0 +Auckland,0 +"Auckland, New Zealand",2 +"Aurangabad, India",0 +"Aurora, CO",0 +"Aurora, IL",0 +"Aurskog, Norway",0 +Austin,0 +Austin TX,0 +"Austin, TX",5 +"Austin, Tx",0 +Australia,7 +Austria,3 +"Aylesbury Buckinghamshire, UK",0 +amsterdam,1 +asdf,0 +at my forum oliviasrodriguez.nstars.org,0 diff --git a/tasks/readable/085/gold_csv/GQRY-A.1.csv b/tasks/readable/085/gold_csv/GQRY-A.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..973c5a56b055029681edaabeefeb357391547fe7 --- /dev/null +++ b/tasks/readable/085/gold_csv/GQRY-A.1.csv @@ -0,0 +1,131 @@ +Location,num_users +"AHMEDABD,INDIA",0 +ATL,0 +Aachen Germany,0 +"Aachen, Germany",0 +"Aalborg, Denmark",0 +"Aalen, Germany",0 +"Aalto University, Finland",0 +"Aarhus, Denmark",0 +"Abbotsford, Canada",0 +"Aberdeen, United Kingdom",1 +Aberdeenshire,0 +"Abersychan, United Kingdom",1 +"Accra, Ghana",0 +"Acton Vale, Canada",1 +"Adana, Turkey",0 +"Adelaide, Australia",1 +"Ado Ekiti, Nigeria",0 +"Ageo-shi, Japan",0 +"Ahmadabad, India",0 +"Ahmedabad, India",0 +"Ahmedabad,Gujarat,India",0 +"Aichi Prefecture, Japan",0 +"Aiken, SC",0 +"Aiken, SC, USA",0 +"Aim the drones at Greencastle, IN",0 +"Akron, OH",0 +"AlMaadi, Cairo, Egypt",0 +Alabama,0 +"Alameda, CA",0 +"Alamo, CA",1 +Alaska,0 +Albania,0 +"Albany, NY",2 +Alberta,0 +"Alberta, Canada",1 +"Albuquerque, NM",1 +"Albuquerque, NM, United States",0 +"Alexandria, Egypt",0 +"Alexandria, VA",0 +Algeria,0 +"Algiers, Algeria",0 +"Alicante, Spain",0 +All over the world,0 +"Allahabad, India",0 +"Allerød, Denmark",0 +"Almada, Portugal",0 +"Altadena, CA",0 +"Altai, Russia",0 +"Altstätten, Switzerland",0 +America,1 +"Amersfoort, Netherlands",0 +Ames,0 +Ames IA,1 +"Ames, IA",4 +"Amherst, MA",1 +"Amite, LA",0 +"Amman, Jordan",1 +"Amritsar, India",0 +"Amstelveen, The Netherlands",0 +Amsterdam,1 +"Amsterdam, NL",0 +"Amsterdam, Netherlands",6 +"Amsterdam, The Netherlands",3 +"Amsterdam, the Netherlands",0 +"Anacortes, WA",0 +"Anchorage, AK",0 +Ankara,0 +"Ankara, Turkey",2 +"Ankara/Istanbul, Turkey",0 +Ann Arbor,1 +Ann Arbor / Detroit,0 +"Ann Arbor, MI",2 +"Annapolis, MD",0 +Annecy,0 +"Antananarivo, Madagascar",0 +Antarctica,0 +Antibes,0 +"Antibes, France",1 +"Antwerp, Belgium",4 +"Antwerp/Leuven, Belgium",0 +"Aptos, CA",0 +Arcadia,0 +"Arcadia, CA",0 +"Arenys de Mar, Spain",0 +Argentina,6 +Arizona,3 +Arkansas,0 +"Arkansas, United States",0 +Arlington,0 +"Arlington, MA",2 +"Arlington, TX",0 +"Arlington, VA",1 +Armenia,0 +"Arnhem, Netherlands",0 +Aruba,0 +"Arusha, Tanzania",0 +"Ashburn, VA",1 +"Asheville, NC",1 +"Ashford, United Kingdom",0 +"Ashgabat, Turkmenistan",0 +"Ashmore, United Kingdom",0 +Asia,0 +Asker,0 +"Aston University, United Kingdom",0 +"Athens, GA",1 +"Athens, Greece",2 +"Athens, OH",0 +Atlanta,1 +"Atlanta, GA",10 +"Atlanta, GA / Boston, MA",0 +"Atlanta, Georgia",0 +"Atlantis, FL",0 +Au,0 +"Auburn, CA",0 +Auckland,0 +"Auckland, New Zealand",3 +"Aurangabad, India",0 +"Aurora, CO",0 +"Aurora, IL",0 +"Aurskog, Norway",0 +Austin,0 +Austin TX,0 +"Austin, TX",8 +"Austin, Tx",1 +Australia,7 +Austria,3 +"Aylesbury Buckinghamshire, UK",0 +amsterdam,1 +asdf,0 +at my forum oliviasrodriguez.nstars.org,0 diff --git a/tasks/readable/085/task_readable.sql b/tasks/readable/085/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..c3740f4149ac1c1f454c4a56ca2fd562783d6222 --- /dev/null +++ b/tasks/readable/085/task_readable.sql @@ -0,0 +1,158 @@ +/* +{ + "qid": "085", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "codebase_community", + "question": "For each location, list the number of users with high scores for created posts. Only includes locations starting with letter 'a' or 'A'.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "high scores for created posts", + "type": "finite", + "ambiguity_type": "semantic_computation", + "interpretations": [ + "high average score for created posts", + "high maximum score for created posts" + ], + "intended_interpretation_idx": 1 + }, + { + "id": "B", + "phrase": "high scores for created posts", + "type": "infinite", + "ambiguity_type": "semantic_value", + "parameter_name": "score_threshold", + "parameter_dtype": "int", + "parameter_sample_operators": [ + ">", + ">=" + ], + "parameter_sample_values": [ + 3 + ], + "intended_parameter_operator": ">", + "intended_parameter_value": 3 + } + ], + "gold_intended_query_id": "GQRY-A.1", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0` ----- +/* +{ + "id": "GQRY-A.0", + "parameter_names": [ + "score_threshold" + ], + "parameter_values": { + "score_threshold": 3 + }, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] high scores for created posts": "high average score for created posts", + "[B] high scores for created posts": ":score_threshold" + } + } +} +*/ +WITH locations AS ( +SELECT DISTINCT Location +FROM users +WHERE Location LIKE 'a%' +), +user_post_scores AS ( +SELECT u.Id AS UserId, +u.Location AS Loc, +AVG(p.Score) AS avg_post_score +FROM users u +JOIN posts p ON u.Id = p.OwnerUserId +WHERE u.Location LIKE 'a%' +GROUP BY u.Id, u.Location +HAVING AVG(p.Score) > :score_threshold +) +SELECT l.Location, +COUNT(DISTINCT user_post_scores.UserId) AS num_users +FROM locations l +LEFT JOIN user_post_scores ON l.Location = user_post_scores.Loc +GROUP BY l.Location; +/* EXEC RESULT + Location num_users + AHMEDABD,INDIA 0 + ATL 0 + Aachen Germany 0 + Aachen, Germany 0 + Aalborg, Denmark 0 +... TRUNCATED ... + Austria 3 + Aylesbury Buckinghamshire, UK 0 + amsterdam 1 + asdf 0 +at my forum oliviasrodriguez.nstars.org 0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1` ----- +/* +{ + "id": "GQRY-A.1", + "parameter_names": [ + "score_threshold" + ], + "parameter_values": { + "score_threshold": 3 + }, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] high scores for created posts": "high maximum score for created posts", + "[B] high scores for created posts": ":score_threshold" + } + } +} +*/ +WITH locations AS ( +SELECT DISTINCT Location +FROM users +WHERE Location LIKE 'a%' +), +user_post_scores AS ( +SELECT u.Id AS UserId, +u.Location AS Loc, +MAX(p.Score) AS max_post_score +FROM users u +JOIN posts p ON u.Id = p.OwnerUserId +WHERE u.Location LIKE 'a%' +GROUP BY u.Id, u.Location +HAVING MAX(p.Score) > :score_threshold +) +SELECT l.Location, +COUNT(DISTINCT user_post_scores.UserId) AS num_users +FROM locations l +LEFT JOIN user_post_scores ON l.Location = user_post_scores.Loc +GROUP BY l.Location; +/* EXEC RESULT + Location num_users + AHMEDABD,INDIA 0 + ATL 0 + Aachen Germany 0 + Aachen, Germany 0 + Aalborg, Denmark 0 +... TRUNCATED ... + Austria 3 + Aylesbury Buckinghamshire, UK 0 + amsterdam 1 + asdf 0 +at my forum oliviasrodriguez.nstars.org 0 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/086/gold_csv/GQRY-A.0.csv b/tasks/readable/086/gold_csv/GQRY-A.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..a3d6a052986ec604985a34449a532a72daf0e5de --- /dev/null +++ b/tasks/readable/086/gold_csv/GQRY-A.0.csv @@ -0,0 +1,2 @@ +post_id,post_title,answer_count +726,Famous statistician quotes,136 diff --git a/tasks/readable/086/gold_csv/GQRY-A.1.csv b/tasks/readable/086/gold_csv/GQRY-A.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..74f1b918ff58123d8b3563eeb9844d9a56bee39c --- /dev/null +++ b/tasks/readable/086/gold_csv/GQRY-A.1.csv @@ -0,0 +1,2 @@ +post_id,post_title,comment_count +31038,,45 diff --git a/tasks/readable/086/gold_csv/GQRY-A.2.csv b/tasks/readable/086/gold_csv/GQRY-A.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..b375cd68199ab01daec64a7bb2e3bd96a294f362 --- /dev/null +++ b/tasks/readable/086/gold_csv/GQRY-A.2.csv @@ -0,0 +1,2 @@ +post_id,post_title,answer_or_comment_count +726,Famous statistician quotes,137 diff --git a/tasks/readable/086/task_readable.sql b/tasks/readable/086/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..6d5f3ed7b0d10fcd0cc3db57ffc950874c2eb73f --- /dev/null +++ b/tasks/readable/086/task_readable.sql @@ -0,0 +1,114 @@ +/* +{ + "qid": "086", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "codebase_community", + "question": "Which post received the most responses?", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "responses", + "type": "finite", + "ambiguity_type": "semantic_column", + "interpretations": [ + "answers", + "comments", + "both answers and comments" + ], + "intended_interpretation_idx": 0 + } + ], + "gold_intended_query_id": "GQRY-A.0", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0` ----- +/* +{ + "id": "GQRY-A.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 0 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] responses": "answers" + } + } +} +*/ +SELECT Id AS post_id, Title AS post_title, COALESCE(AnswerCount, 0) AS answer_count +FROM posts +WHERE AnswerCount = (SELECT MAX(AnswerCount) FROM posts); +/* EXEC RESULT + post_id post_title answer_count + 726 Famous statistician quotes 136 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1` ----- +/* +{ + "id": "GQRY-A.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 0 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] responses": "comments" + } + } +} +*/ +SELECT Id AS post_id, Title AS post_title, COALESCE(CommentCount, 0) AS comment_count +FROM posts +WHERE CommentCount = (SELECT MAX(CommentCount) FROM posts); +/* EXEC RESULT + post_id post_title comment_count + 31038 None 45 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.2` ----- +/* +{ + "id": "GQRY-A.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 0 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] responses": "both answers and comments" + } + } +} +*/ +SELECT +Id AS post_id, +Title AS post_title, +COALESCE(AnswerCount, 0) + COALESCE(CommentCount, 0) AS answer_or_comment_count +FROM posts +WHERE COALESCE(AnswerCount, 0) + COALESCE(CommentCount, 0) += (SELECT MAX(COALESCE(AnswerCount, 0) + COALESCE(CommentCount, 0)) FROM posts); +/* EXEC RESULT + post_id post_title answer_or_comment_count + 726 Famous statistician quotes 137 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/087/gold_csv/GQRY-B.0.csv b/tasks/readable/087/gold_csv/GQRY-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..8554c9950d115cb260f1cd28101459466413aa9e --- /dev/null +++ b/tasks/readable/087/gold_csv/GQRY-B.0.csv @@ -0,0 +1,8 @@ +event_id,event_name,total_remaining,food_spent,adv_spent +recykdvf4LgsyA3wZ,Yearly Kickoff,50.869999999999905,327.07,122.06 +recLKj8BbTNqxFbTb,Registration,4.88,0.0,0.0 +recJ4Witp9tpjaugn,Officers meeting - November,-0.199999999999999,20.2,0.0 +recMKjJbWRgSQqf4Y,Officers meeting - September,-0.199999999999999,20.2,0.0 +recc8dizaKrSz3GmH,Officers meeting - October,-0.199999999999999,20.2,0.0 +recI43CzsZ0Q625ma,September Speaker,-0.31999999999999673,173.06,67.81 +recmbOVHSyzXQZpQr,November Meeting,-23.5,174.25,54.25 diff --git a/tasks/readable/087/gold_csv/GQRY-B.1.csv b/tasks/readable/087/gold_csv/GQRY-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..0935cf65627fd521d76a0597b0a719b32bc70a9a --- /dev/null +++ b/tasks/readable/087/gold_csv/GQRY-B.1.csv @@ -0,0 +1,10 @@ +event_id,event_name,total_remaining,food_spent,adv_spent +recykdvf4LgsyA3wZ,Yearly Kickoff,50.869999999999905,327.07,122.06 +reciRZdAqNIKuMC96,November Speaker,40.8,122.33,74.59 +recEVTik3MlqbvLFi,October Speaker,23.4,154.34,67.81 +recLKj8BbTNqxFbTb,Registration,4.88,0.0,0.0 +recJ4Witp9tpjaugn,Officers meeting - November,-0.199999999999999,20.2,0.0 +recMKjJbWRgSQqf4Y,Officers meeting - September,-0.199999999999999,20.2,0.0 +recc8dizaKrSz3GmH,Officers meeting - October,-0.199999999999999,20.2,0.0 +recI43CzsZ0Q625ma,September Speaker,-0.31999999999999673,173.06,67.81 +recmbOVHSyzXQZpQr,November Meeting,-23.5,174.25,54.25 diff --git a/tasks/readable/087/task_readable.sql b/tasks/readable/087/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..a50c8429f26a626c20469dee93e78414aaf35e85 --- /dev/null +++ b/tasks/readable/087/task_readable.sql @@ -0,0 +1,171 @@ +/* +{ + "qid": "087", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "student_club", + "question": "Which events had a low budget remaining or high spending on food or advertisement?", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "low budget remaining", + "type": "infinite", + "ambiguity_type": "semantic_value", + "parameter_name": "budget_remaining_threshold", + "parameter_dtype": "int", + "parameter_sample_operators": [ + "<", + "<=" + ], + "parameter_sample_values": [ + 20 + ], + "intended_parameter_operator": "<", + "intended_parameter_value": 20 + }, + { + "id": "B", + "phrase": "high spending on food or advertisement", + "type": "finite", + "ambiguity_type": "semantic_computation", + "interpretations": [ + "either food or advertisement spending is high", + "the sum of food and advertisement spending is high" + ], + "intended_interpretation_idx": 0 + }, + { + "id": "C", + "phrase": "high spending on food or advertisement", + "type": "infinite", + "ambiguity_type": "semantic_value", + "parameter_name": "food_ad_spending_threshold", + "parameter_dtype": "int", + "parameter_sample_operators": [ + ">", + ">=" + ], + "parameter_sample_values": [ + 180 + ], + "intended_parameter_operator": ">", + "intended_parameter_value": 180 + } + ], + "gold_intended_query_id": "GQRY-B.0", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-B.0` ----- +/* +{ + "id": "GQRY-B.0", + "parameter_names": [ + "budget_remaining_threshold", + "food_ad_spending_threshold", + "food_ad_spending_threshold" + ], + "parameter_values": { + "budget_remaining_threshold": 20, + "food_ad_spending_threshold": 180 + }, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] low budget remaining": ":budget_remaining_threshold", + "[B] high spending on food or advertisement": "either food or advertisement spending is high", + "[C] high spending on food or advertisement": ":food_ad_spending_threshold" + } + } +} +*/ +WITH event_budget AS ( +SELECT +link_to_event AS event_id, +SUM(remaining) AS total_remaining, +SUM(CASE WHEN category = 'Food' THEN spent ELSE 0 END) AS food_spent, +SUM(CASE WHEN category = 'Advertisement' THEN spent ELSE 0 END) AS adv_spent +FROM budget +GROUP BY link_to_event +) +SELECT e.event_id, e.event_name, eb.total_remaining, eb.food_spent, eb.adv_spent +FROM event e +JOIN event_budget eb ON e.event_id = eb.event_id +WHERE eb.total_remaining < :budget_remaining_threshold +OR eb.food_spent > :food_ad_spending_threshold +OR eb.adv_spent > :food_ad_spending_threshold +ORDER BY eb.total_remaining DESC, eb.food_spent DESC, eb.adv_spent DESC; +/* EXEC RESULT + event_id event_name total_remaining food_spent adv_spent +recykdvf4LgsyA3wZ Yearly Kickoff 50.87 327.07 122.06 +recLKj8BbTNqxFbTb Registration 4.88 0.00 0.00 +recJ4Witp9tpjaugn Officers meeting - November -0.20 20.20 0.00 +recMKjJbWRgSQqf4Y Officers meeting - September -0.20 20.20 0.00 +recc8dizaKrSz3GmH Officers meeting - October -0.20 20.20 0.00 +recI43CzsZ0Q625ma September Speaker -0.32 173.06 67.81 +recmbOVHSyzXQZpQr November Meeting -23.50 174.25 54.25 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-B.1` ----- +/* +{ + "id": "GQRY-B.1", + "parameter_names": [ + "budget_remaining_threshold", + "food_ad_spending_threshold" + ], + "parameter_values": { + "budget_remaining_threshold": 20, + "food_ad_spending_threshold": 180 + }, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] low budget remaining": ":budget_remaining_threshold", + "[B] high spending on food or advertisement": "the sum of food and advertisement spending is high", + "[C] high spending on food or advertisement": ":food_ad_spending_threshold" + } + } +} +*/ +WITH event_budget AS ( +SELECT +link_to_event AS event_id, +SUM(remaining) AS total_remaining, +SUM(CASE WHEN category = 'Food' THEN spent ELSE 0 END) AS food_spent, +SUM(CASE WHEN category = 'Advertisement' THEN spent ELSE 0 END) AS adv_spent +FROM budget +GROUP BY link_to_event +) +SELECT e.event_id, e.event_name, eb.total_remaining, eb.food_spent, eb.adv_spent +FROM event e +JOIN event_budget eb ON e.event_id = eb.event_id +WHERE eb.total_remaining < :budget_remaining_threshold +OR eb.food_spent + eb.adv_spent > :food_ad_spending_threshold +ORDER BY eb.total_remaining DESC, eb.food_spent DESC, eb.adv_spent DESC; +/* EXEC RESULT + event_id event_name total_remaining food_spent adv_spent +recykdvf4LgsyA3wZ Yearly Kickoff 50.87 327.07 122.06 +reciRZdAqNIKuMC96 November Speaker 40.80 122.33 74.59 +recEVTik3MlqbvLFi October Speaker 23.40 154.34 67.81 +recLKj8BbTNqxFbTb Registration 4.88 0.00 0.00 +recJ4Witp9tpjaugn Officers meeting - November -0.20 20.20 0.00 +recMKjJbWRgSQqf4Y Officers meeting - September -0.20 20.20 0.00 +recc8dizaKrSz3GmH Officers meeting - October -0.20 20.20 0.00 +recI43CzsZ0Q625ma September Speaker -0.32 173.06 67.81 +recmbOVHSyzXQZpQr November Meeting -23.50 174.25 54.25 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/088/gold_csv/GQRY-A.0.csv b/tasks/readable/088/gold_csv/GQRY-A.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..a781117586c131235b837384d205418ccdb40033 --- /dev/null +++ b/tasks/readable/088/gold_csv/GQRY-A.0.csv @@ -0,0 +1,41878 @@ +zip_code,total_income +501,0 +544,0 +601,0 +602,0 +603,0 +604,0 +605,0 +606,0 +610,0 +611,0 +612,0 +613,0 +614,0 +616,0 +617,0 +622,0 +623,0 +624,0 +627,0 +631,0 +636,0 +637,0 +638,0 +641,0 +646,0 +647,0 +650,0 +652,0 +653,0 +656,0 +659,0 +660,0 +662,0 +664,0 +667,0 +669,0 +670,0 +674,0 +676,0 +677,0 +678,0 +680,0 +681,0 +682,0 +683,0 +685,0 +687,0 +688,0 +690,0 +692,0 +693,0 +694,0 +698,0 +703,0 +704,0 +705,0 +707,0 +714,0 +715,0 +716,0 +717,0 +718,0 +719,0 +720,0 +721,0 +723,0 +725,0 +726,0 +727,0 +728,0 +729,0 +730,0 +731,0 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County,New York,0 +Alpine,Overton County,Tennessee,0 +Alpine,Brewster County,Texas,0 +Alpine,Utah County,Utah,0 +Alpine,Lincoln County,Wyoming,0 +Alplaus,Schenectady County,New York,0 +Alsea,Benton County,Oregon,0 +Alsen,Cavalier County,North Dakota,0 +Alsey,Scott County,Illinois,0 +Alsip,Cook County,Illinois,0 +Alstead,Cheshire County,New Hampshire,0 +Alston,Montgomery County,Georgia,0 +Alta,Placer County,California,0 +Alta,Buena Vista County,Iowa,0 +Alta,Teton County,Wyoming,0 +Alta Vista,Chickasaw County,Iowa,0 +Alta Vista,Wabaunsee County,Kansas,0 +Altadena,Los Angeles County,California,0 +Altair,Colorado County,Texas,0 +Altamahaw,Alamance County,North Carolina,0 +Altamont,Effingham County,Illinois,0 +Altamont,Labette County,Kansas,0 +Altamont,Daviess County,Missouri,0 +Altamont,Albany County,New York,0 +Altamont,Grundy County,Tennessee,0 +Altamont,Duchesne County,Utah,0 +Altamonte Springs,Seminole County,Florida,0 +Altaville,Calaveras County,California,0 +Altavista,Campbell County,Virginia,0 +Altenburg,Perry County,Missouri,0 +Altha,Calhoun County,Florida,0 +Altheimer,Jefferson County,Arkansas,0 +Altmar,Oswego County,New York,0 +Alto,Habersham County,Georgia,0 +Alto,Kent County,Michigan,0 +Alto,Lincoln County,New Mexico,0 +Alto,Cherokee County,Texas,0 +Alto Pass,Union County,Illinois,0 +Alton,Jefferson County,Alabama,0 +Alton,Madison County,Illinois,0 +Alton,Sioux County,Iowa,0 +Alton,Osborne County,Kansas,0 +Alton,Oregon County,Missouri,0 +Alton,Belknap County,New Hampshire,0 +Alton,Wayne County,New York,0 +Alton,Kane County,Utah,0 +Alton,Halifax County,Virginia,0 +Alton Bay,Belknap County,New Hampshire,0 +Altona,Knox County,Illinois,0 +Altona,Clinton County,New York,0 +Altonah,Duchesne County,Utah,0 +Altoona,Etowah County,Alabama,0 +Altoona,Lake County,Florida,0 +Altoona,Polk County,Iowa,0 +Altoona,Wilson County,Kansas,0 +Altoona,Blair County,Pennsylvania,0 +Altoona,Eau Claire County,Wisconsin,0 +Altura,Winona County,Minnesota,0 +Alturas,Modoc County,California,0 +Alturas,Polk County,Florida,0 +Altus,Franklin County,Arkansas,0 +Altus,Jackson County,Oklahoma,0 +Altus Afb,Jackson County,Oklahoma,0 +Alum Bank,Bedford County,Pennsylvania,0 +Alum Bridge,Lewis County,West Virginia,0 +Alum Creek,Lincoln County,West Virginia,0 +Alva,Lee County,Florida,0 +Alva,Woods County,Oklahoma,0 +Alva,Crook County,Wyoming,0 +Alvada,Seneca County,Ohio,0 +Alvadore,Lane County,Oregon,0 +Alvarado,Marshall County,Minnesota,0 +Alvarado,Johnson County,Texas,0 +Alvaton,Warren County,Kentucky,0 +Alverda,Indiana County,Pennsylvania,0 +Alverton,Westmoreland County,Pennsylvania,0 +Alvin,Vermilion County,Illinois,0 +Alvin,Brazoria County,Texas,0 +Alviso,Santa Clara County,California,0 +Alvo,Cass County,Nebraska,0 +Alvord,Lyon County,Iowa,0 +Alvord,Wise County,Texas,0 +Alvordton,Williams County,Ohio,0 +Alzada,Carter County,Montana,0 +Ama,St. Charles Parish,Louisiana,0 +Amado,Pima County,Arizona,0 +Amador City,Amador County,California,0 +Amagansett,Suffolk County,New York,0 +Amagon,Jackson County,Arkansas,0 +Amalia,Taos County,New Mexico,0 +Amana,Iowa County,Iowa,0 +Amanda,Fairfield County,Ohio,0 +Amanda Park,Grays Harbor County,Washington,0 +Amargosa Valley,Nye County,Nevada,0 +Amarillo,Moore County,Texas,0 +Amarillo,Potter County,Texas,50 +Amarillo,Randall County,Texas,0 +Amasa,Iron County,Michigan,0 +Amawalk,Westchester County,New York,0 +Amazonia,Andrew County,Missouri,0 +Amber,Grady County,Oklahoma,0 +Amberg,Marinette County,Wisconsin,0 +Amberson,Franklin County,Pennsylvania,0 +Ambia,Benton County,Indiana,0 +Ambler,Northwest Arctic Borough,Alaska,0 +Ambler,Montgomery County,Pennsylvania,0 +Amboy,San Bernardino County,California,0 +Amboy,Lee County,Illinois,0 +Amboy,Miami County,Indiana,0 +Amboy,Blue Earth County,Minnesota,0 +Amboy,Clark County,Washington,0 +Ambridge,Beaver County,Pennsylvania,0 +Ambrose,Coffee County,Georgia,0 +Ambrose,Divide County,North Dakota,0 +Amelia,St Mary Parish,Louisiana,0 +Amelia,Holt County,Nebraska,0 +Amelia,Clermont County,Ohio,0 +Amelia Court House,Amelia County,Virginia,0 +Amenia,Dutchess County,New York,0 +Amenia,Cass County,North Dakota,0 +American Canyon,Napa County,California,0 +American Falls,Power County,Idaho,0 +American Fork,Utah County,Utah,50 +Americus,Sumter County,Georgia,0 +Americus,Lyon County,Kansas,0 +Amery,Polk County,Wisconsin,0 +Ames,Story County,Iowa,0 +Ames,Dodge County,Nebraska,0 +Ames,Major County,Oklahoma,0 +Amesbury,Essex County,Massachusetts,0 +Amesville,Athens County,Ohio,0 +Amherst,Phillips County,Colorado,0 +Amherst,Hampshire County,Massachusetts,0 +Amherst,Buffalo County,Nebraska,0 +Amherst,Hillsborough County,New Hampshire,0 +Amherst,Lorain County,Ohio,0 +Amherst,Marshall County,South Dakota,0 +Amherst,Lamb County,Texas,0 +Amherst,Amherst County,Virginia,0 +Amherst,Portage County,Wisconsin,0 +Amherst Junction,Portage County,Wisconsin,0 +Amherstdale,Logan County,West Virginia,0 +Amidon,Slope County,North Dakota,0 +Amigo,Wyoming County,West Virginia,0 +Amissville,Culpeper County,Virginia,0 +Amistad,Union County,New Mexico,0 +Amite,Tangipahoa Parish,Louisiana,0 +Amity,Clark County,Arkansas,0 +Amity,DeKalb County,Missouri,0 +Amity,Yamhill County,Oregon,0 +Amity,Washington County,Pennsylvania,0 +Amityville,Suffolk County,New York,0 +Amlin,Franklin County,Ohio,0 +Amma,Roane County,West Virginia,0 +Ammon,Amelia County,Virginia,0 +Amo,Hendricks County,Indiana,0 +Amonate,Tazewell County,Virginia,0 +Amoret,Bates County,Missouri,0 +Amorita,Alfalfa County,Oklahoma,0 +Amory,Monroe County,Mississippi,0 +Amsterdam,Bates County,Missouri,0 +Amsterdam,Montgomery County,New York,0 +Amsterdam,Jefferson County,Ohio,0 +Amston,Tolland County,Connecticut,0 +Anabel,Macon County,Missouri,0 +Anacoco,Vernon Parish,Louisiana,0 +Anaconda,Deer Lodge County,Montana,0 +Anacortes,Skagit County,Washington,0 +Anadarko,Caddo County,Oklahoma,0 +Anaheim,Orange County,California,0 +Anahola,Kauai County,Hawaii,0 +Anahuac,Chambers County,Texas,0 +Anaktuvuk Pass,North Slope Borough,Alaska,0 +Analomink,Monroe County,Pennsylvania,0 +Anamoose,McHenry County,North Dakota,0 +Anamosa,Jones County,Iowa,0 +Anasco,Anasco Municipio,Puerto Rico,0 +Anatone,Asotin County,Washington,0 +Anawalt,McDowell County,West Virginia,0 +Anchor,McLean County,Illinois,0 +Anchor Point,Kenai Peninsula Borough,Alaska,0 +Anchorage,Anchorage Municipality,Alaska,0 +Anchorage,Municipality of Anchorage,Alaska,0 +Anchorage,North Slope Borough,Alaska,0 +Anchorville,St. Clair County,Michigan,0 +Ancona,Livingston County,Illinois,0 +Ancram,Columbia County,New York,0 +Ancramdale,Columbia County,New York,0 +Andale,Sedgwick County,Kansas,0 +Andalusia,Covington County,Alabama,0 +Andalusia,Rock Island County,Illinois,0 +Anderson,Lauderdale County,Alabama,0 +Anderson,Denali Borough,Alaska,0 +Anderson,Shasta County,California,0 +Anderson,Madison County,Indiana,0 +Anderson,McDonald County,Missouri,0 +Anderson,Anderson County,South Carolina,0 +Anderson,Grimes County,Texas,0 +Anderson Island,Pierce County,Washington,0 +Andersonville,Sumter County,Georgia,0 +Andersonville,Anderson County,Tennessee,0 +Andes,Delaware County,New York,0 +Andover,Tolland County,Connecticut,0 +Andover,Henry County,Illinois,0 +Andover,Clinton County,Iowa,0 +Andover,Butler County,Kansas,0 +Andover,Oxford County,Maine,0 +Andover,Essex County,Massachusetts,0 +Andover,Anoka County,Minnesota,0 +Andover,Merrimack County,New Hampshire,0 +Andover,Sussex County,New Jersey,0 +Andover,Allegany County,New York,0 +Andover,Ashtabula County,Ohio,0 +Andover,Day County,South Dakota,0 +Andover,Wise County,Virginia,0 +Andreas,Schuylkill County,Pennsylvania,0 +Andrew,Jackson County,Iowa,0 +Andrews,Huntington County,Indiana,0 +Andrews,Cherokee County,North Carolina,0 +Andrews,Georgetown County,South Carolina,0 +Andrews,Andrews County,Texas,0 +Andrews Air Force Base,Prince George's County,Maryland,0 +Aneta,Nelson County,North Dakota,0 +Aneth,San Juan County,Utah,0 +Angel Fire,Colfax County,New Mexico,0 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County,Texas,0 +Anna Maria,Manatee County,Florida,0 +Annabella,Sevier County,Utah,0 +Annada,Pike County,Missouri,0 +Annandale,Wright County,Minnesota,0 +Annandale,Hunterdon County,New Jersey,0 +Annandale,Fairfax County,Virginia,0 +Annandale On Hudson,Dutchess County,New York,0 +Annapolis,Sonoma County,California,0 +Annapolis,Crawford County,Illinois,0 +Annapolis,Anne Arundel County,Maryland,0 +Annapolis,Iron County,Missouri,0 +Annapolis Junction,Howard County,Maryland,0 +Annawan,Henry County,Illinois,0 +Annemanie,Wilcox County,Alabama,0 +Anniston,Calhoun County,Alabama,0 +Anniston,Mississippi County,Missouri,0 +Annona,Red River County,Texas,0 +Annville,Jackson County,Kentucky,0 +Annville,Lebanon County,Pennsylvania,0 +Anoka,Anoka County,Minnesota,0 +Anselmo,Custer County,Nebraska,0 +Ansley,Custer County,Nebraska,0 +Anson,Somerset County,Maine,0 +Anson,Jones County,Texas,0 +Ansonia,New Haven County,Connecticut,0 +Ansonia,Darke County,Ohio,0 +Ansonville,Anson County,North Carolina,0 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County,Oklahoma,0 +Apache Junction,Maricopa County,Arizona,0 +Apache Junction,Pinal County,Arizona,0 +Apalachicola,Franklin County,Florida,0 +Apalachin,Tioga County,New York,0 +Apex,Wake County,North Carolina,0 +Apison,Hamilton County,Tennessee,0 +Aplington,Butler County,Iowa,0 +Apollo,Westmoreland County,Pennsylvania,0 +Apollo Beach,Hillsborough County,Florida,0 +Apopka,Orange County,Florida,0 +Appalachia,Wise County,Virginia,0 +Apple Creek,Wayne County,Ohio,0 +Apple Grove,Mason County,West Virginia,0 +Apple River,Jo Daviess County,Illinois,0 +Apple Springs,Trinity County,Texas,0 +Apple Valley,San Bernardino County,California,50 +Applegate,Placer County,California,0 +Applegate,Sanilac County,Michigan,0 +Appleton,Swift County,Minnesota,0 +Appleton,Niagara County,New York,0 +Appleton,Klickitat County,Washington,0 +Appleton,Outagamie County,Wisconsin,0 +Appleton City,St. Clair County,Missouri,0 +Appling,Columbia County,Georgia,0 +Appomattox,Appomattox County,Virginia,0 +Aptos,Santa Cruz County,California,0 +Apulia Station,Onondaga County,New York,0 +Aquasco,Prince George's County,Maryland,0 +Aquashicola,Carbon County,Pennsylvania,0 +Aquebogue,Suffolk County,New York,0 +Aquilla,Hill County,Texas,0 +Arab,Marshall County,Alabama,0 +Arabi,Crisp County,Georgia,0 +Arabi,St. Bernard Parish,Louisiana,0 +Aragon,Polk County,Georgia,0 +Aragon,Catron County,New Mexico,0 +Aransas Pass,Nueces County,Texas,0 +Aransas Pass,San Patricio County,Texas,0 +Arapaho,Custer County,Oklahoma,0 +Arapahoe,Cheyenne County,Colorado,0 +Arapahoe,Furnas County,Nebraska,0 +Arapahoe,Pamlico County,North Carolina,0 +Arapahoe,Fremont County,Wyoming,0 +Ararat,Surry County,North Carolina,0 +Ararat,Patrick County,Virginia,0 +Arbela,Scotland County,Missouri,0 +Arboles,Archuleta County,Colorado,0 +Arbon,Power County,Idaho,0 +Arbovale,Pocahontas County,West Virginia,0 +Arbuckle,Colusa County,California,0 +Arbyrd,Dunklin County,Missouri,0 +Arcade,Wyoming County,New York,0 +Arcadia,Los Angeles County,California,0 +Arcadia,DeSoto County,Florida,0 +Arcadia,Desoto County,Florida,0 +Arcadia,Hamilton County,Indiana,0 +Arcadia,Carroll County,Iowa,0 +Arcadia,Crawford County,Kansas,0 +Arcadia,Bienville Parish,Louisiana,0 +Arcadia,Manistee County,Michigan,0 +Arcadia,Iron County,Missouri,0 +Arcadia,Valley County,Nebraska,0 +Arcadia,Hancock County,Ohio,0 +Arcadia,Oklahoma County,Oklahoma,0 +Arcadia,Indiana County,Pennsylvania,0 +Arcadia,Spartanburg County,South Carolina,0 +Arcadia,Trempealeau County,Wisconsin,0 +Arcanum,Darke County,Ohio,0 +Arcata,Humboldt County,California,0 +Arch Cape,Clatsop County,Oregon,0 +Archbald,Lackawanna County,Pennsylvania,0 +Archbold,Fulton County,Ohio,0 +Archer,Alachua County,Florida,0 +Archer,O'Brien County,Iowa,0 +Archer,Merrick County,Nebraska,0 +Archer City,Archer County,Texas,0 +Archibald,Richland Parish,Louisiana,0 +Archie,Cass County,Missouri,0 +Arco,Butte County,Idaho,0 +Arco,Lincoln County,Minnesota,0 +Arcola,Douglas County,Illinois,0 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County,Wisconsin,0 +Argos,Marshall County,Indiana,0 +Argusville,Cass County,North Dakota,0 +Argyle,Walton County,Florida,0 +Argyle,Clinch County,Georgia,0 +Argyle,Lee County,Iowa,0 +Argyle,Sanilac County,Michigan,0 +Argyle,Marshall County,Minnesota,0 +Argyle,Osage County,Missouri,0 +Argyle,Washington County,New York,0 +Argyle,Denton County,Texas,0 +Argyle,Lafayette County,Wisconsin,0 +Ariel,Cowlitz County,Washington,0 +Arimo,Bannock County,Idaho,0 +Arion,Crawford County,Iowa,0 +Aripeka,Pasco County,Florida,0 +Arispe,Union County,Iowa,0 +Aristes,Columbia County,Pennsylvania,0 +Ariton,Dale County,Alabama,0 +Arivaca,Pima County,Arizona,0 +Arizona City,Pinal County,Arizona,0 +Arjay,Bell County,Kentucky,0 +Ark,Gloucester County,Virginia,0 +Arkabutla,Tate County,Mississippi,0 +Arkadelphia,Clark County,Arkansas,0 +Arkansas City,Desha County,Arkansas,0 +Arkansas City,Cowley County,Kansas,0 +Arkansaw,Pepin County,Wisconsin,0 +Arkdale,Adams County,Wisconsin,0 +Arkoma,Le Flore County,Oklahoma,0 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County,Massachusetts,0 +Arma,Crawford County,Kansas,0 +Armada,Macomb County,Michigan,0 +Armagh,Indiana County,Pennsylvania,0 +Armbrust,Westmoreland County,Pennsylvania,0 +Armington,Tazewell County,Illinois,0 +Arminto,Natrona County,Wyoming,0 +Armona,Kings County,California,0 +Armonk,Westchester County,New York,0 +Armorel,Mississippi County,Arkansas,0 +Armour,Douglas County,South Dakota,0 +Armstrong,Vermilion County,Illinois,0 +Armstrong,Emmet County,Iowa,0 +Armstrong,Howard County,Missouri,0 +Armstrong,Kenedy County,Texas,0 +Armstrong Creek,Forest County,Wisconsin,0 +Armuchee,Floyd County,Georgia,0 +Arnaudville,St. Landry Parish,Louisiana,0 +Arnegard,McKenzie County,North Dakota,0 +Arnett,Ellis County,Oklahoma,0 +Arnett,Raleigh County,West Virginia,0 +Arnold,Calaveras County,California,0 +Arnold,Ness County,Kansas,0 +Arnold,Anne Arundel County,Maryland,0 +Arnold,Marquette County,Michigan,0 +Arnold,Jefferson County,Missouri,0 +Arnold,Custer County,Nebraska,0 +Arnold Afb,Coffee County,Tennessee,0 +Arnolds Park,Dickinson County,Iowa,0 +Arnoldsburg,Calhoun County,West Virginia,0 +Arnoldsville,Oglethorpe County,Georgia,0 +Arnot,Tioga County,Pennsylvania,0 +Arock,Malheur County,Oregon,0 +Aroda,Madison County,Virginia,0 +Aroma Park,Kankakee County,Illinois,0 +Aromas,Monterey County,California,0 +Arona,Westmoreland County,Pennsylvania,0 +Arp,Smith County,Texas,0 +Arpin,Wood County,Wisconsin,0 +Arrey,Sierra County,New Mexico,0 +Arriba,Lincoln County,Colorado,0 +Arrington,Williamson County,Tennessee,0 +Arrington,Nelson County,Virginia,0 +Arrow Rock,Saline County,Missouri,0 +Arrowsmith,McLean County,Illinois,0 +Arroyo,Arroyo Municipio,Puerto Rico,0 +Arroyo Grande,San Luis Obispo County,California,0 +Arroyo Hondo,Taos County,New Mexico,0 +Arroyo Seco,Taos County,New Mexico,0 +Art,Mason County,Texas,0 +Artemas,Bedford County,Pennsylvania,0 +Artemus,Knox County,Kentucky,0 +Artesia,Los Angeles County,California,0 +Artesia,Lowndes County,Mississippi,0 +Artesia,Eddy County,New Mexico,0 +Artesia Wells,La Salle County,Texas,0 +Artesian,Sanborn County,South Dakota,0 +Arthur,Douglas County,Illinois,0 +Arthur,Ida County,Iowa,0 +Arthur,Arthur County,Nebraska,0 +Arthur,Cass County,North Dakota,0 +Arthur,Claiborne County,Tennessee,0 +Arthur City,Lamar County,Texas,0 +Arthurdale,Preston County,West Virginia,0 +Artie,Raleigh County,West Virginia,0 +Artois,Glenn County,California,0 +Arvada,Jefferson County,Colorado,0 +Arvada,Sheridan County,Wyoming,0 +Arverne,Queens County,New York,0 +Arvilla,Grand Forks County,North Dakota,0 +Arvin,Kern County,California,0 +Arvonia,Buckingham County,Virginia,0 +Ary,Perry County,Kentucky,0 +Asbury,Jasper County,Missouri,0 +Asbury,Hunterdon County,New Jersey,0 +Asbury,Greenbrier County,West Virginia,0 +Asbury Park,Monmouth County,New Jersey,0 +Ascutney,Windsor County,Vermont,0 +Ash,Brunswick County,North Carolina,0 +Ash Flat,Sharp County,Arkansas,0 +Ash Fork,Yavapai County,Arizona,0 +Ash Grove,Greene County,Missouri,0 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Parish,Louisiana,0 +Ashland,Aroostook County,Maine,0 +Ashland,Middlesex County,Massachusetts,0 +Ashland,Benton County,Mississippi,0 +Ashland,Boone County,Missouri,0 +Ashland,Rosebud County,Montana,0 +Ashland,Saunders County,Nebraska,0 +Ashland,Grafton County,New Hampshire,0 +Ashland,Greene County,New York,0 +Ashland,Ashland County,Ohio,0 +Ashland,Jackson County,Oregon,0 +Ashland,Schuylkill County,Pennsylvania,0 +Ashland,Hanover County,Virginia,0 +Ashland,Ashland County,Wisconsin,0 +Ashland City,Cheatham County,Tennessee,0 +Ashley,Washington County,Illinois,0 +Ashley,DeKalb County,Indiana,0 +Ashley,Gratiot County,Michigan,0 +Ashley,McIntosh County,North Dakota,0 +Ashley,Delaware County,Ohio,0 +Ashley Falls,Berkshire County,Massachusetts,0 +Ashmore,Coles County,Illinois,0 +Ashtabula,Ashtabula County,Ohio,0 +Ashton,Fremont County,Idaho,0 +Ashton,Lee County,Illinois,0 +Ashton,Osceola County,Iowa,0 +Ashton,Montgomery County,Maryland,0 +Ashton,Sherman County,Nebraska,0 +Ashton,Spink County,South Dakota,0 +Ashton,Mason County,West Virginia,0 +Ashuelot,Cheshire County,New Hampshire,0 +Ashville,St. Clair County,Alabama,0 +Ashville,Chautauqua County,New York,0 +Ashville,Pickaway County,Ohio,0 +Ashville,Cambria County,Pennsylvania,0 +Ashwood,Jefferson County,Oregon,0 +Askov,Pine County,Minnesota,0 +Asotin,Asotin County,Washington,0 +Aspen,Pitkin County,Colorado,0 +Aspermont,Stonewall County,Texas,0 +Aspers,Adams County,Pennsylvania,0 +Aspinwall,Crawford County,Iowa,0 +Assaria,Saline County,Kansas,0 +Assawoman,Accomack County,Virginia,0 +Assonet,Bristol County,Massachusetts,0 +Assumption,Christian County,Illinois,0 +Astatula,Lake County,Florida,0 +Aston,Delaware County,Pennsylvania,0 +Astor,Lake County,Florida,0 +Astoria,Fulton County,Illinois,0 +Astoria,Queens County,New York,0 +Astoria,Clatsop County,Oregon,0 +Astoria,Deuel County,South Dakota,0 +Atalissa,Muscatine County,Iowa,0 +Atascadero,San Luis Obispo County,California,0 +Atascosa,Bexar County,Texas,0 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County,Massachusetts,0 +Auburndale,Wood County,Wisconsin,0 +Auburntown,Cannon County,Tennessee,0 +Audubon,Audubon County,Iowa,0 +Audubon,Becker County,Minnesota,0 +Audubon,Camden County,New Jersey,0 +Audubon,Montgomery County,Pennsylvania,0 +Augusta,Woodruff County,Arkansas,0 +Augusta,Columbia County,Georgia,0 +Augusta,Richmond County,Georgia,0 +Augusta,Hancock County,Illinois,0 +Augusta,Butler County,Kansas,0 +Augusta,Bracken County,Kentucky,0 +Augusta,Kennebec County,Maine,0 +Augusta,Kalamazoo County,Michigan,0 +Augusta,St. Charles County,Missouri,0 +Augusta,Lewis and Clark County,Montana,0 +Augusta,Sussex County,New Jersey,0 +Augusta,Carroll County,Ohio,0 +Augusta,Hampshire County,West Virginia,0 +Augusta,Eau Claire County,Wisconsin,0 +Augusta Springs,Augusta County,Virginia,0 +Auke Bay,City and Borough of Juneau,Alaska,0 +Aulander,Hertford County,North Carolina,0 +Ault,Weld County,Colorado,0 +Aultman,Indiana County,Pennsylvania,0 +Aumsville,Marion County,Oregon,0 +Aurelia,Cherokee 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County,Pennsylvania,0 +Austin,Hays County,Texas,0 +Austin,Travis County,Texas,0 +Austin,Williamson County,Texas,0 +Austinburg,Ashtabula County,Ohio,0 +Austinville,Butler County,Iowa,0 +Austinville,Carroll County,Virginia,0 +Austwell,Refugio County,Texas,0 +Autaugaville,Autauga County,Alabama,0 +Autryville,Sampson County,North Carolina,0 +Auxier,Floyd County,Kentucky,0 +Auxvasse,Callaway County,Missouri,0 +Ava,Jackson County,Illinois,0 +Ava,Douglas County,Missouri,0 +Ava,Oneida County,New York,0 +Ava,Noble County,Ohio,0 +Avalon,Los Angeles County,California,0 +Avalon,Cape May County,New Jersey,0 +Avalon,Ellis County,Texas,0 +Avalon,Rock County,Wisconsin,0 +Avant,Osage County,Oklahoma,0 +Avawam,Perry County,Kentucky,0 +Avella,Washington County,Pennsylvania,0 +Avenal,Kings County,California,0 +Avenel,Middlesex County,New Jersey,0 +Avenue,St. Mary's County,Maryland,0 +Avera,Jefferson County,Georgia,0 +Averill,Essex County,Vermont,0 +Averill Park,Rensselaer County,New York,0 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County,Ohio,0 +Avon,Bon Homme County,South Dakota,0 +Avon By The Sea,Monmouth County,New Jersey,0 +Avon Lake,Lorain County,Ohio,0 +Avon Park,Highlands County,Florida,0 +Avondale,Maricopa County,Arizona,0 +Avondale,Pueblo County,Colorado,0 +Avondale,Chester County,Pennsylvania,0 +Avondale,McDowell County,West Virginia,0 +Avondale Estates,DeKalb County,Georgia,0 +Avonmore,Westmoreland County,Pennsylvania,0 +Awendaw,Charleston County,South Carolina,0 +Axis,Mobile County,Alabama,0 +Axson,Atkinson County,Georgia,0 +Axtell,Marshall County,Kansas,0 +Axtell,Kearney County,Nebraska,0 +Axtell,McLennan County,Texas,0 +Axtell,Sanpete County,Utah,0 +Axton,Henry County,Virginia,0 +Ayden,Pitt County,North Carolina,0 +Aydlett,Currituck County,North Carolina,0 +Ayer,Middlesex County,Massachusetts,0 +Aylett,King William County,Virginia,0 +Aynor,Horry County,South Carolina,0 +Ayr,Adams County,Nebraska,0 +Ayr,Cass County,North Dakota,0 +Ayrshire,Palo Alto County,Iowa,0 +Azalea,Douglas County,Oregon,0 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Parish,Louisiana,0 +Baker,Fallon County,Montana,0 +Baker,White Pine County,Nevada,0 +Baker,Hardy County,West Virginia,0 +Baker City,Baker County,Oregon,0 +Bakers Mills,Warren County,New York,0 +Bakersfield,Kern County,California,0 +Bakersfield,Ozark County,Missouri,0 +Bakersfield,Franklin County,Vermont,0 +Bakerstown,Allegheny County,Pennsylvania,0 +Bakersville,Mitchell County,North Carolina,0 +Bakersville,Coshocton County,Ohio,0 +Bakerton,Washington County,West Virginia,0 +Bakewell,Hamilton County,Tennessee,0 +Bala Cynwyd,Montgomery County,Pennsylvania,0 +Balaton,Lyon County,Minnesota,0 +Balch Springs,Dallas County,Texas,0 +Bald Knob,White County,Arkansas,0 +Baldwin,Banks County,Georgia,0 +Baldwin,Randolph County,Illinois,0 +Baldwin,Jackson County,Iowa,0 +Baldwin,St. Mary Parish,Louisiana,0 +Baldwin,Baltimore County,Maryland,0 +Baldwin,Lake County,Michigan,0 +Baldwin,Nassau County,New York,0 +Baldwin,Burleigh County,North Dakota,0 +Baldwin,St. Croix County,Wisconsin,0 +Baldwin City,Douglas County,Kansas,0 +Baldwin Park,Los Angeles County,California,0 +Baldwin Place,Westchester County,New York,0 +Baldwinsville,Onondaga County,New York,0 +Baldwinville,Worcester County,Massachusetts,0 +Baldwyn,Prentiss County,Mississippi,0 +Balfour,McHenry County,North Dakota,0 +Balko,Beaver County,Oklahoma,0 +Ball,Rapides Parish,Louisiana,0 +Ball Ground,Cherokee County,Georgia,0 +Ballantine,Yellowstone County,Montana,0 +Ballard,Monroe County,West Virginia,0 +Ballentine,Richland County,South Carolina,0 +Ballico,Merced County,California,0 +Ballinger,Runnels County,Texas,0 +Ballouville,Windham County,Connecticut,0 +Ballston Lake,Saratoga County,New York,0 +Ballston Spa,Saratoga County,New York,0 +Ballwin,St. Louis County,Missouri,0 +Bally,Berks County,Pennsylvania,0 +Balm,Hillsborough County,Florida,0 +Balmorhea,Reeves County,Texas,0 +Balsam,Jackson County,North Carolina,0 +Balsam Grove,Transylvania County,North Carolina,0 +Balsam Lake,Polk County,Wisconsin,0 +Balta,Pierce County,North Dakota,0 +Baltic,New London County,Connecticut,0 +Baltic,Holmes County,Ohio,0 +Baltic,Minnehaha County,South Dakota,0 +Baltimore,Anne Arundel County,Maryland,0 +Baltimore,Baltimore City,Maryland,0 +Baltimore,Baltimore County,Maryland,0 +Baltimore,Baltimore city,Maryland,0 +Baltimore,Fairfield County,Ohio,0 +Bamberg,Bamberg County,South Carolina,0 +Banco,Madison County,Virginia,0 +Bancroft,Caribou County,Idaho,0 +Bancroft,Kossuth County,Iowa,0 +Bancroft,Shiawassee County,Michigan,0 +Bancroft,Cuming County,Nebraska,0 +Bancroft,Putnam County,West Virginia,0 +Bancroft,Portage County,Wisconsin,0 +Bandana,Ballard County,Kentucky,0 +Bandera,Bandera County,Texas,0 +Bandon,Coos County,Oregon,0 +Bandy,Tazewell County,Virginia,0 +Bangall,Dutchess County,New York,0 +Bangor,Butte County,California,0 +Bangor,Penobscot County,Maine,0 +Bangor,Van Buren County,Michigan,0 +Bangor,Northampton County,Pennsylvania,0 +Bangor,La Crosse County,Wisconsin,0 +Bangs,Brown County,Texas,0 +Banks,Pike County,Alabama,0 +Banks,Bradley County,Arkansas,0 +Banks,Boise County,Idaho,0 +Banks,Washington County,Oregon,0 +Bankston,Fayette County,Alabama,0 +Banner,Floyd County,Kentucky,0 +Banner,Calhoun County,Mississippi,0 +Banner,Sheridan County,Wyoming,0 +Banner Elk,Watauga County,North Carolina,0 +Banning,Riverside County,California,0 +Bannister,Gratiot County,Michigan,0 +Bannock,Belmont County,Ohio,0 +Banquete,Nueces County,Texas,0 +Bantam,Litchfield County,Connecticut,0 +Bantry,McHenry County,North Dakota,0 +Bapchule,Pinal County,Arizona,0 +Baptistown,Hunterdon County,New Jersey,0 +Bar Harbor,Hancock County,Maine,0 +Bar Mills,York County,Maine,0 +Baraboo,Sauk County,Wisconsin,0 +Baraga,Baraga County,Michigan,0 +Barataria,Jefferson Parish,Louisiana,0 +Barbeau,Chippewa County,Michigan,0 +Barberton,Summit County,Ohio,0 +Barberville,Volusia County,Florida,0 +Barboursville,Greene County,Virginia,0 +Barboursville,Cabell County,West Virginia,0 +Barbourville,Knox County,Kentucky,0 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County,South Carolina,0 +Baroda,Berrien County,Michigan,0 +Barrackville,Marion County,West Virginia,0 +Barranquitas,Barranquitas Municipio,Puerto Rico,0 +Barre,Worcester County,Massachusetts,0 +Barre,Washington County,Vermont,0 +Barren Springs,Wythe County,Virginia,0 +Barrett,Grant County,Minnesota,0 +Barrington,Cook County,Illinois,0 +Barrington,Lake County,Illinois,0 +Barrington,Strafford County,New Hampshire,0 +Barrington,Camden County,New Jersey,0 +Barrington,Bristol County,Rhode Island,0 +Barron,Barron County,Wisconsin,0 +Barronett,Barron County,Wisconsin,0 +Barrow,North Slope Borough,Alaska,0 +Barry,Pike County,Illinois,0 +Barry,Big Stone County,Minnesota,0 +Barry,Navarro County,Texas,0 +Barryton,Mecosta County,Michigan,0 +Barrytown,Dutchess County,New York,0 +Barryville,Sullivan County,New York,0 +Barstow,San Bernardino County,California,0 +Barstow,Rock Island County,Illinois,0 +Barstow,Calvert County,Maryland,0 +Barstow,Ward County,Texas,0 +Bart,Lancaster County,Pennsylvania,0 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County,Alabama,0 +Berry,Harrison County,Kentucky,0 +Berry Creek,Butte County,California,0 +Berrysburg,Dauphin County,Pennsylvania,0 +Berryton,Shawnee County,Kansas,0 +Berryville,Carroll County,Arkansas,0 +Berryville,Clarke County,Virginia,0 +Bertha,Todd County,Minnesota,0 +Berthold,Ward County,North Dakota,0 +Berthoud,Larimer County,Colorado,0 +Bertram,Burnet County,Texas,0 +Bertrand,Mississippi County,Missouri,0 +Bertrand,Phelps County,Nebraska,0 +Berwick,Warren County,Illinois,0 +Berwick,Polk County,Iowa,0 +Berwick,St. Mary Parish,Louisiana,0 +Berwick,York County,Maine,0 +Berwick,Columbia County,Pennsylvania,0 +Berwind,McDowell County,West Virginia,0 +Berwyn,Cook County,Illinois,0 +Berwyn,Chester County,Pennsylvania,0 +Beryl,Iron County,Utah,0 +Bessemer,Jefferson County,Alabama,0 +Bessemer,Gogebic County,Michigan,0 +Bessemer,Lawrence County,Pennsylvania,0 +Bessemer City,Gaston County,North Carolina,0 +Bessie,Washita County,Oklahoma,0 +Bethalto,Madison County,Illinois,0 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County,Maryland,0 +Bethesda,Belmont County,Ohio,0 +Bethlehem,Litchfield County,Connecticut,0 +Bethlehem,Barrow County,Georgia,0 +Bethlehem,Clark County,Indiana,0 +Bethlehem,Henry County,Kentucky,0 +Bethlehem,Caroline County,Maryland,0 +Bethlehem,Grafton County,New Hampshire,0 +Bethlehem,Lehigh County,Pennsylvania,0 +Bethlehem,Northampton County,Pennsylvania,0 +Bethpage,Nassau County,New York,0 +Bethpage,Sumner County,Tennessee,0 +Bethune,Kit Carson County,Colorado,0 +Bethune,Kershaw County,South Carolina,0 +Betsy Layne,Floyd County,Kentucky,0 +Bettendorf,Scott County,Iowa,0 +Betterton,Kent County,Maryland,0 +Bettles Field,Yukon-Koyukuk Census Area,Alaska,0 +Bettsville,Seneca County,Ohio,0 +Beulah,Pueblo County,Colorado,0 +Beulah,Benzie County,Michigan,0 +Beulah,Bolivar County,Mississippi,0 +Beulah,Phelps County,Missouri,0 +Beulah,Mercer County,North Dakota,0 +Beulah,Crook County,Wyoming,0 +Beulaville,Duplin County,North Carolina,0 +Beverly,Lincoln County,Kansas,0 +Beverly,Clay County,Kentucky,0 +Beverly,Essex County,Massachusetts,0 +Beverly,Burlington County,New Jersey,0 +Beverly,Washington County,Ohio,0 +Beverly,Grant County,Washington,0 +Beverly,Randolph County,West Virginia,0 +Beverly Hills,Los Angeles County,California,0 +Beverly Hills,Citrus County,Florida,0 +Beverly Shores,Porter County,Indiana,0 +Bevier,Macon County,Missouri,0 +Bevington,Madison County,Iowa,0 +Bevinsville,Floyd County,Kentucky,0 +Bexar,Fulton County,Arkansas,0 +Beyer,Indiana County,Pennsylvania,0 +Bible School Park,Broome County,New York,0 +Bickleton,Klickitat County,Washington,0 +Bickmore,Clay County,West Virginia,0 +Bicknell,Knox County,Indiana,0 +Bicknell,Wayne County,Utah,0 +Biddeford,York County,Maine,0 +Biddeford Pool,York County,Maine,0 +Biddle,Powder River County,Montana,0 +Bidwell,Gallia County,Ohio,0 +Bieber,Lassen County,California,0 +Bienville,Bienville Parish,Louisiana,0 +Big Arm,Lake County,Montana,0 +Big Bar,Trinity County,California,0 +Big Bay,Marquette County,Michigan,0 +Big Bear City,San Bernardino County,California,0 +Big Bear Lake,San Bernardino County,California,0 +Big Bend,Shasta County,California,0 +Big Bend,Calhoun County,West Virginia,0 +Big Bend,Waukesha County,Wisconsin,0 +Big Bend National Park,Brewster County,Texas,0 +Big Cabin,Craig County,Oklahoma,0 +Big Clifty,Grayson County,Kentucky,0 +Big Cove Tannery,Fulton County,Pennsylvania,0 +Big Creek,Fresno County,California,0 +Big Creek,Clay County,Kentucky,0 +Big Creek,Calhoun County,Mississippi,0 +Big Creek,Logan County,West Virginia,0 +Big Falls,Koochiching County,Minnesota,0 +Big Falls,Waupaca County,Wisconsin,0 +Big Flat,Baxter County,Arkansas,0 +Big Flats,Chemung County,New York,0 +Big Horn,Sheridan County,Wyoming,0 +Big Indian,Ulster County,New York,0 +Big Island,Bedford County,Virginia,0 +Big Lake,Matanuska-Susitna Borough,Alaska,0 +Big Lake,Sherburne County,Minnesota,0 +Big Lake,Reagan County,Texas,0 +Big Laurel,Harlan County,Kentucky,0 +Big Oak Flat,Tuolumne County,California,0 +Big Pine,Inyo County,California,0 +Big Pine Key,Monroe County,Florida,0 +Big Piney,Sublette County,Wyoming,0 +Big Pool,Washington County,Maryland,0 +Big Prairie,Holmes County,Ohio,0 +Big Rapids,Mecosta County,Michigan,0 +Big Rock,Kane County,Illinois,0 +Big Rock,Stewart County,Tennessee,0 +Big Rock,Buchanan County,Virginia,0 +Big Run,Jefferson County,Pennsylvania,0 +Big Run,Wetzel County,West Virginia,0 +Big Sandy,Chouteau County,Montana,0 +Big Sandy,Benton County,Tennessee,0 +Big Sandy,Upshur County,Texas,0 +Big Sandy,McDowell County,West Virginia,0 +Big Sky,Gallatin County,Montana,0 +Big Spring,Howard County,Texas,0 +Big Springs,Deuel County,Nebraska,0 +Big Springs,Calhoun County,West Virginia,0 +Big Stone City,Grant County,South Dakota,0 +Big Stone Gap,Wise County,Virginia,0 +Big Sur,Monterey County,California,0 +Big Timber,Sweet Grass County,Montana,0 +Big Wells,Dimmit County,Texas,0 +Bigelow,Perry County,Arkansas,0 +Bigelow,Nobles County,Minnesota,0 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County,South Carolina,0 +Blair,Logan County,West Virginia,0 +Blair,Trempealeau County,Wisconsin,0 +Blairs,Pittsylvania County,Virginia,0 +Blairs Mills,Huntingdon County,Pennsylvania,0 +Blairsburg,Hamilton County,Iowa,0 +Blairsden-graeagle,Plumas County,California,0 +Blairstown,Benton County,Iowa,0 +Blairstown,Henry County,Missouri,0 +Blairstown,Warren County,New Jersey,0 +Blairsville,Union County,Georgia,0 +Blairsville,Indiana County,Pennsylvania,0 +Blakely,Early County,Georgia,0 +Blakely Island,San Juan County,Washington,0 +Blakesburg,Wapello County,Iowa,0 +Blakeslee,Williams County,Ohio,0 +Blakeslee,Monroe County,Pennsylvania,0 +Blanca,Costilla County,Colorado,0 +Blanch,Caswell County,North Carolina,0 +Blanchard,Bonner County,Idaho,0 +Blanchard,Page County,Iowa,0 +Blanchard,Caddo Parish,Louisiana,0 +Blanchard,Isabella County,Michigan,0 +Blanchard,Traill County,North Dakota,0 +Blanchard,McClain County,Oklahoma,0 +Blanchard,Centre County,Pennsylvania,0 +Blanchardville,Lafayette County,Wisconsin,0 +Blanchester,Clinton County,Ohio,0 +Blanco,San Juan County,New Mexico,0 +Blanco,Pittsburg County,Oklahoma,0 +Blanco,Blanco County,Texas,0 +Bland,Gasconade County,Missouri,0 +Bland,Bland County,Virginia,0 +Blandburg,Cambria County,Pennsylvania,0 +Blandford,Hampden County,Massachusetts,0 +Blanding,San Juan County,Utah,0 +Blandinsville,McDonough County,Illinois,0 +Blandon,Berks County,Pennsylvania,0 +Blanford,Vermillion County,Indiana,0 +Blanket,Brown County,Texas,0 +Blauvelt,Rockland County,New York,0 +Blawenburg,Somerset County,New Jersey,0 +Bledsoe,Harlan County,Kentucky,0 +Bledsoe,Cochran County,Texas,0 +Bleiblerville,Austin County,Texas,0 +Blencoe,Monona County,Iowa,0 +Blenheim,Marlboro County,South Carolina,0 +Blenker,Wood County,Wisconsin,0 +Blessing,Matagorda County,Texas,0 +Blevins,Hempstead County,Arkansas,0 +Bliss,Gooding County,Idaho,0 +Bliss,Wyoming County,New York,0 +Blissfield,Lenawee County,Michigan,0 +Blissfield,Coshocton County,Ohio,0 +Block Island,Washington County,Rhode Island,0 +Blocker,Pittsburg County,Oklahoma,0 +Blocksburg,Humboldt County,California,0 +Blockton,Taylor County,Iowa,0 +Blodgett,Scott County,Missouri,0 +Blodgett,Benton County,Oregon,0 +Blodgett Mills,Cortland County,New York,0 +Blomkest,Kandiyohi County,Minnesota,0 +Bloomburg,Cass County,Texas,0 +Bloomdale,Wood County,Ohio,0 +Bloomer,Chippewa County,Wisconsin,0 +Bloomery,Hampshire County,West Virginia,0 +Bloomfield,Hartford County,Connecticut,0 +Bloomfield,Greene County,Indiana,0 +Bloomfield,Davis County,Iowa,0 +Bloomfield,Nelson County,Kentucky,0 +Bloomfield,Stoddard County,Missouri,0 +Bloomfield,Dawson County,Montana,0 +Bloomfield,Knox County,Nebraska,0 +Bloomfield,Essex County,New Jersey,0 +Bloomfield,San Juan County,New Mexico,0 +Bloomfield,Ontario County,New York,0 +Bloomfield Hills,Oakland County,Michigan,0 +Blooming Glen,Bucks County,Pennsylvania,0 +Blooming Grove,Orange County,New York,0 +Blooming Grove,Navarro County,Texas,0 +Blooming Prairie,Steele County,Minnesota,0 +Bloomingburg,Sullivan County,New York,0 +Bloomingburg,Fayette County,Ohio,0 +Bloomingdale,Effingham County,Georgia,0 +Bloomingdale,DuPage County,Illinois,0 +Bloomingdale,Dupage County,Illinois,0 +Bloomingdale,Parke County,Indiana,0 +Bloomingdale,Van Buren County,Michigan,0 +Bloomingdale,Passaic County,New Jersey,0 +Bloomingdale,Essex County,New York,0 +Bloomingdale,Jefferson County,Ohio,0 +Bloomingrose,Boone County,West Virginia,0 +Bloomington,San Bernardino County,California,0 +Bloomington,Bear Lake County,Idaho,0 +Bloomington,McLean County,Illinois,0 +Bloomington,Mclean County,Illinois,0 +Bloomington,Monroe County,Indiana,0 +Bloomington,Garrett County,Maryland,0 +Bloomington,Franklin County,Nebraska,0 +Bloomington,Ulster County,New York,0 +Bloomington,Victoria County,Texas,0 +Bloomington,Grant County,Wisconsin,0 +Bloomington Springs,Jackson County,Tennessee,0 +Bloomsburg,Columbia County,Pennsylvania,0 +Bloomsbury,Hunterdon County,New Jersey,0 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Genevieve County,Missouri,0 +Bloomville,Delaware County,New York,0 +Bloomville,Seneca County,Ohio,0 +Blossburg,Tioga County,Pennsylvania,0 +Blossom,Lamar County,Texas,0 +Blossvale,Oneida County,New York,0 +Blount,Kanawha County,West Virginia,0 +Blounts Creek,Beaufort County,North Carolina,0 +Blountstown,Calhoun County,Florida,0 +Blountsville,Blount County,Alabama,0 +Blountville,Sullivan County,Tennessee,0 +Blowing Rock,Watauga County,North Carolina,0 +Bloxom,Accomack County,Virginia,0 +Blue,Greenlee County,Arizona,0 +Blue Ball,Lancaster County,Pennsylvania,0 +Blue Bell,Montgomery County,Pennsylvania,0 +Blue Creek,Adams County,Ohio,0 +Blue Creek,Kanawha County,West Virginia,0 +Blue Diamond,Clark County,Nevada,0 +Blue Earth,Faribault County,Minnesota,0 +Blue Eye,Stone County,Missouri,0 +Blue Gap,Apache County,Arizona,0 +Blue Grass,Scott County,Iowa,0 +Blue Grass,Highland County,Virginia,0 +Blue Hill,Hancock County,Maine,0 +Blue Hill,Webster County,Nebraska,0 +Blue Island,Cook County,Illinois,0 +Blue Jay,San Bernardino County,California,0 +Blue Lake,Humboldt County,California,0 +Blue Mound,Macon County,Illinois,0 +Blue Mound,Linn County,Kansas,0 +Blue Mounds,Dane County,Wisconsin,0 +Blue Mountain,Logan County,Arkansas,0 +Blue Mountain,Tippah County,Mississippi,0 +Blue Mountain Lake,Hamilton County,New York,0 +Blue Point,Suffolk County,New York,0 +Blue Rapids,Marshall County,Kansas,0 +Blue Ridge,Fannin County,Georgia,0 +Blue Ridge,Collin County,Texas,0 +Blue Ridge,Botetourt County,Virginia,0 +Blue Ridge Summit,Franklin County,Pennsylvania,0 +Blue River,Floyd County,Kentucky,0 +Blue River,Lane County,Oregon,0 +Blue River,Richland County,Wisconsin,0 +Blue Rock,Muskingum County,Ohio,0 +Blue Springs,Union County,Mississippi,0 +Blue Springs,Jackson County,Missouri,0 +Blue Springs,Gage County,Nebraska,0 +Bluebell,Duchesne County,Utah,0 +Bluefield,Tazewell County,Virginia,0 +Bluefield,Mercer County,West Virginia,0 +Bluegrove,Clay County,Texas,0 +Bluejacket,Craig County,Oklahoma,0 +Bluemont,Clarke County,Virginia,0 +Bluewater,Cibola County,New Mexico,0 +Bluff,San Juan County,Utah,0 +Bluff City,Nevada County,Arkansas,0 +Bluff City,Harper County,Kansas,0 +Bluff City,Sullivan County,Tennessee,0 +Bluff Dale,Erath County,Texas,0 +Bluff Springs,Cass County,Illinois,0 +Bluffs,Scott County,Illinois,0 +Bluffton,Yell County,Arkansas,0 +Bluffton,Clay County,Georgia,0 +Bluffton,Wells County,Indiana,0 +Bluffton,Otter Tail County,Minnesota,0 +Bluffton,Allen County,Ohio,0 +Bluffton,Beaufort County,South Carolina,0 +Bluffton,Llano County,Texas,0 +Bluford,Jefferson County,Illinois,0 +Blum,Hill County,Texas,0 +Blunt,Hughes County,South Dakota,0 +Bly,Klamath County,Oregon,0 +Blythe,Riverside County,California,0 +Blythe,Richmond County,Georgia,0 +Blythedale,Harrison County,Missouri,0 +Blytheville,Mississippi County,Arkansas,0 +Blythewood,Richland County,South Carolina,0 +Boalsburg,Centre County,Pennsylvania,0 +Board Camp,Polk County,Arkansas,0 +Boardman,Morrow County,Oregon,0 +Boaz,Etowah County,Alabama,0 +Boaz,Marshall County,Alabama,0 +Boaz,Graves County,Kentucky,0 +Bob White,Boone County,West Virginia,0 +Bobtown,Greene County,Pennsylvania,0 +Boca Grande,Lee County,Florida,0 +Boca Raton,Palm Beach County,Florida,0 +Bock,Mille Lacs County,Minnesota,0 +Bode,Humboldt County,Iowa,0 +Bodega,Sonoma County,California,0 +Bodega Bay,Sonoma County,California,0 +Bodfish,Kern County,California,0 +Boelus,Howard County,Nebraska,0 +Boerne,Bexar County,Texas,0 +Boerne,Kendall County,Texas,0 +Bogalusa,Washington Parish,Louisiana,0 +Bogard,Carroll County,Missouri,0 +Bogart,Oconee County,Georgia,0 +Bogata,Red River County,Texas,0 +Boggstown,Shelby County,Indiana,0 +Bogota,Bergen County,New Jersey,0 +Bogota,Dyer County,Tennessee,0 +Bogue,Graham County,Kansas,0 +Bogue Chitto,Lincoln County,Mississippi,0 +Bohannon,Mathews County,Virginia,0 +Bohemia,Suffolk County,New York,0 +Boiceville,Ulster County,New York,0 +Boiling Springs,Cleveland County,North Carolina,0 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County,Florida,0 +Bonita,San Diego County,California,0 +Bonita,Morehouse Parish,Louisiana,0 +Bonita Springs,Lee County,Florida,0 +Bonlee,Chatham County,North Carolina,0 +Bonne Terre,St. Francois County,Missouri,0 +Bonneau,Berkeley County,South Carolina,0 +Bonner,Missoula County,Montana,0 +Bonner Springs,Wyandotte County,Kansas,0 +Bonnerdale,Garland County,Arkansas,0 +Bonners Ferry,Boundary County,Idaho,0 +Bonney Lake,Pierce County,Washington,0 +Bonnie,Jefferson County,Illinois,0 +Bonnieville,Hart County,Kentucky,0 +Bonnots Mill,Osage County,Missouri,0 +Bonnyman,Perry County,Kentucky,0 +Bono,Craighead County,Arkansas,0 +Bonsall,San Diego County,California,0 +Boody,Macon County,Illinois,0 +Booker,Lipscomb County,Texas,0 +Boomer,Wilkes County,North Carolina,0 +Boomer,Fayette County,West Virginia,0 +Boon,Wexford County,Michigan,0 +Boone,Pueblo County,Colorado,0 +Boone,Boone County,Iowa,0 +Boone,Watauga County,North Carolina,0 +Boone Grove,Porter County,Indiana,0 +Boones Mill,Franklin County,Virginia,0 +Booneville,Logan County,Arkansas,0 +Booneville,Dallas County,Iowa,0 +Booneville,Owsley County,Kentucky,0 +Booneville,Prentiss County,Mississippi,0 +Boons Camp,Johnson County,Kentucky,0 +Boonsboro,Washington County,Maryland,0 +Boonton,Morris County,New Jersey,0 +Boonville,Mendocino County,California,0 +Boonville,Warrick County,Indiana,0 +Boonville,Cooper County,Missouri,0 +Boonville,Oneida County,New York,0 +Boonville,Yadkin County,North Carolina,0 +Booth,Autauga County,Alabama,0 +Boothbay,Lincoln County,Maine,0 +Boothbay Harbor,Lincoln County,Maine,0 +Boothville,Plaquemines Parish,Louisiana,0 +Boqueron,Cabo Rojo Municipio,Puerto Rico,0 +Bordelonville,Avoyelles Parish,Louisiana,0 +Borden,Clark County,Indiana,0 +Bordentown,Burlington County,New Jersey,0 +Borderland,Mingo County,West Virginia,0 +Borger,Hutchinson County,Texas,0 +Boring,Baltimore County,Maryland,0 +Boring,Clackamas County,Oregon,0 +Boron,Kern County,California,0 +Borrego Springs,San Diego County,California,0 +Borup,Norman County,Minnesota,0 +Boscobel,Grant County,Wisconsin,0 +Bosler,Albany County,Wyoming,0 +Bosque,Socorro County,New Mexico,0 +Bosque Farms,Valencia County,New Mexico,0 +Boss,Dent County,Missouri,0 +Bossier City,Bossier Parish,Louisiana,0 +Bostic,Rutherford County,North Carolina,0 +Boston,Thomas County,Georgia,0 +Boston,Wayne County,Indiana,0 +Boston,Nelson County,Kentucky,0 +Boston,Suffolk County,Massachusetts,0 +Boston,Erie County,New York,0 +Boston,Culpeper County,Virginia,0 +Bostwick,Putnam County,Florida,0 +Bostwick,Morgan County,Georgia,0 +Boswell,Benton County,Indiana,0 +Boswell,Choctaw County,Oklahoma,0 +Boswell,Somerset County,Pennsylvania,0 +Bosworth,Carroll County,Missouri,0 +Bothell,King County,Washington,0 +Bothell,Snohomish County,Washington,0 +Botkins,Shelby County,Ohio,0 +Botsford,Fairfield County,Connecticut,0 +Bottineau,Bottineau County,North Dakota,0 +Bouckville,Madison County,New York,0 +Boulder,Boulder County,Colorado,0 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County,Mississippi,0 +Boylston,Worcester County,Massachusetts,0 +Boyne City,Charlevoix County,Michigan,0 +Boyne Falls,Charlevoix County,Michigan,0 +Boynton,Muskogee County,Oklahoma,0 +Boynton,Somerset County,Pennsylvania,0 +Boynton Beach,Palm Beach County,Florida,0 +Boys Ranch,Oldham County,Texas,0 +Boys Town,Douglas County,Nebraska,0 +Bozeman,Gallatin County,Montana,0 +Bozman,Talbot County,Maryland,0 +Bozrah,New London County,Connecticut,0 +Braceville,Grundy County,Illinois,0 +Bracey,Mecklenburg County,Virginia,0 +Brackenridge,Allegheny County,Pennsylvania,0 +Brackettville,Kinney County,Texas,0 +Brackney,Susquehanna County,Pennsylvania,0 +Braddock,Emmons County,North Dakota,0 +Braddock,Allegheny County,Pennsylvania,0 +Braddock Heights,Frederick County,Maryland,0 +Braddyville,Page County,Iowa,0 +Braden,Fayette County,Tennessee,0 +Bradenton,Manatee County,Florida,0 +Bradenton Beach,Manatee County,Florida,0 +Bradenville,Westmoreland County,Pennsylvania,0 +Bradford,White County,Arkansas,0 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County,Missouri,0 +Brant,Saginaw County,Michigan,0 +Brant,Erie County,New York,0 +Brant Lake,Warren County,New York,0 +Brant Rock,Plymouth County,Massachusetts,0 +Brantingham,Lewis County,New York,0 +Brantley,Crenshaw County,Alabama,0 +Brantwood,Price County,Wisconsin,0 +Braselton,Jackson County,Georgia,0 +Brashear,Adair County,Missouri,0 +Brashear,Hopkins County,Texas,0 +Brasher Falls,St. Lawrence County,New York,0 +Brasstown,Clay County,North Carolina,0 +Brattleboro,Windham County,Vermont,0 +Brave,Greene County,Pennsylvania,0 +Brawley,Imperial County,California,0 +Braxton,Simpson County,Mississippi,0 +Braymer,Caldwell County,Missouri,0 +Brayton,Audubon County,Iowa,0 +Brazeau,Perry County,Missouri,0 +Brazil,Clay County,Indiana,0 +Brazoria,Brazoria County,Texas,0 +Brea,Orange County,California,0 +Breaks,Buchanan County,Virginia,0 +Breaux Bridge,St. Martin Parish,Louisiana,0 +Breckenridge,Summit County,Colorado,0 +Breckenridge,Gratiot County,Michigan,0 +Breckenridge,Wilkin County,Minnesota,0 +Breckenridge,Caldwell County,Missouri,0 +Breckenridge,Stephens County,Texas,0 +Brecksville,Cuyahoga County,Ohio,0 +Breda,Carroll County,Iowa,0 +Breeden,Mingo County,West Virginia,0 +Breeding,Adair County,Kentucky,0 +Breedsville,Van Buren County,Michigan,0 +Breese,Clinton County,Illinois,0 +Breesport,Chemung County,New York,0 +Breezewood,Bedford County,Pennsylvania,0 +Breezy Point,Queens County,New York,0 +Breinigsville,Lehigh County,Pennsylvania,0 +Bremen,Cullman County,Alabama,0 +Bremen,Haralson County,Georgia,0 +Bremen,Marshall County,Indiana,0 +Bremen,Marshall County,Kansas,0 +Bremen,Muhlenberg County,Kentucky,0 +Bremen,Lincoln County,Maine,0 +Bremen,Wells County,North Dakota,0 +Bremen,Fairfield County,Ohio,0 +Bremerton,Kitsap County,Washington,0 +Bremo Bluff,Fluvanna County,Virginia,0 +Bremond,Robertson County,Texas,0 +Brenham,Washington County,Texas,0 +Brent,Bibb County,Alabama,0 +Brentford,Spink County,South Dakota,0 +Brenton,Wyoming County,West Virginia,0 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County,Arkansas,0 +Bridal Veil,Multnomah County,Oregon,0 +Bridge City,Orange County,Texas,0 +Bridgehampton,Suffolk County,New York,0 +Bridgeport,Jackson County,Alabama,0 +Bridgeport,Mono County,California,0 +Bridgeport,Fairfield County,Connecticut,0 +Bridgeport,Lawrence County,Illinois,0 +Bridgeport,Saginaw County,Michigan,0 +Bridgeport,Morrill County,Nebraska,0 +Bridgeport,Gloucester County,New Jersey,0 +Bridgeport,Madison County,New York,0 +Bridgeport,Belmont County,Ohio,0 +Bridgeport,Baker County,Oregon,0 +Bridgeport,Montgomery County,Pennsylvania,0 +Bridgeport,Wise County,Texas,0 +Bridgeport,Douglas County,Washington,0 +Bridgeport,Harrison County,West Virginia,0 +Bridger,Carbon County,Montana,0 +Bridgeton,Parke County,Indiana,0 +Bridgeton,St. Louis County,Missouri,0 +Bridgeton,Cumberland County,New Jersey,0 +Bridgeton,Craven County,North Carolina,0 +Bridgeview,Cook County,Illinois,0 +Bridgeville,Humboldt County,California,0 +Bridgeville,Sussex County,Delaware,0 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County,Colorado,0 +Brighton,Weld County,Colorado,0 +Brighton,Macoupin County,Illinois,0 +Brighton,Washington County,Iowa,0 +Brighton,Suffolk County,Massachusetts,0 +Brighton,Livingston County,Michigan,0 +Brighton,Polk County,Missouri,0 +Brighton,Tipton County,Tennessee,0 +Brightwaters,Suffolk County,New York,0 +Brightwood,Clackamas County,Oregon,0 +Brightwood,Madison County,Virginia,0 +Brill,Barron County,Wisconsin,0 +Brilliant,Marion County,Alabama,0 +Brilliant,Jefferson County,Ohio,0 +Brillion,Calumet County,Wisconsin,0 +Brimfield,Peoria County,Illinois,0 +Brimfield,Hampden County,Massachusetts,0 +Brimhall,McKinley County,New Mexico,0 +Brimley,Chippewa County,Michigan,0 +Brimson,St. Louis County,Minnesota,0 +Bringhurst,Carroll County,Indiana,0 +Brinkhaven,Holmes County,Ohio,0 +Brinkley,Monroe County,Arkansas,0 +Brinklow,Montgomery County,Maryland,0 +Brinktown,Maries County,Missouri,0 +Brinnon,Jefferson County,Washington,0 +Brinson,Decatur County,Georgia,0 +Brisbane,San Mateo County,California,0 +Brisbin,Clearfield County,Pennsylvania,0 +Briscoe,Wheeler County,Texas,0 +Bristol,Hartford County,Connecticut,0 +Bristol,Liberty County,Florida,0 +Bristol,Appling County,Georgia,0 +Bristol,Kendall County,Illinois,0 +Bristol,Elkhart County,Indiana,0 +Bristol,Lincoln County,Maine,0 +Bristol,Grafton County,New Hampshire,0 +Bristol,Bucks County,Pennsylvania,0 +Bristol,Bristol County,Rhode Island,0 +Bristol,Day County,South Dakota,0 +Bristol,Sullivan County,Tennessee,0 +Bristol,Addison County,Vermont,0 +Bristol,Bristol City,Virginia,0 +Bristol,Bristol city,Virginia,0 +Bristol,Washington County,Virginia,0 +Bristol,Kenosha County,Wisconsin,0 +Bristolville,Trumbull County,Ohio,0 +Bristow,Perry County,Indiana,0 +Bristow,Butler County,Iowa,0 +Bristow,Boyd County,Nebraska,0 +Bristow,Creek County,Oklahoma,0 +Bristow,Prince William County,Virginia,0 +Britt,Hancock County,Iowa,0 +Britt,St. Louis County,Minnesota,0 +Brittany,Ascension Parish,Louisiana,0 +Britton,Lenawee County,Michigan,0 +Britton,Marshall County,South Dakota,0 +Brixey,Ozark County,Missouri,0 +Broad Brook,Hartford County,Connecticut,0 +Broad Run,Fauquier County,Virginia,0 +Broad Top,Huntingdon County,Pennsylvania,0 +Broadalbin,Fulton County,New York,0 +Broadbent,Coos County,Oregon,0 +Broaddus,San Augustine County,Texas,0 +Broadford,Tazewell County,Virginia,0 +Broadlands,Champaign County,Illinois,0 +Broadus,Powder River County,Montana,0 +Broadview,Cook County,Illinois,0 +Broadview,Yellowstone County,Montana,0 +Broadview,Curry County,New Mexico,0 +Broadview Heights,Cuyahoga County,Ohio,0 +Broadwater,Morrill County,Nebraska,0 +Broadway,Warren County,New Jersey,0 +Broadway,Harnett County,North Carolina,0 +Broadway,Union County,Ohio,0 +Broadway,Rockingham County,Virginia,0 +Brock,Nemaha County,Nebraska,0 +Brocket,Ramsey County,North Dakota,0 +Brockport,Monroe County,New York,0 +Brockport,Elk County,Pennsylvania,0 +Brockton,Plymouth County,Massachusetts,0 +Brockton,Richland County,Montana,0 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County,Texas,0 +Bronwood,Terrell County,Georgia,0 +Bronx,Bronx County,New York,0 +Bronxville,Westchester County,New York,0 +Brook,Newton County,Indiana,0 +Brook Park,Kanabec County,Minnesota,0 +Brookdale,Santa Cruz County,California,0 +Brooke,Stafford County,Virginia,0 +Brookeland,Jasper County,Texas,0 +Brooker,Bradford County,Florida,0 +Brookesmith,Brown County,Texas,0 +Brookeville,Montgomery County,Maryland,0 +Brookfield,Fairfield County,Connecticut,0 +Brookfield,Tift County,Georgia,0 +Brookfield,Cook County,Illinois,0 +Brookfield,Worcester County,Massachusetts,0 +Brookfield,Linn County,Missouri,0 +Brookfield,Madison County,New York,0 +Brookfield,Trumbull County,Ohio,0 +Brookfield,Orange County,Vermont,0 +Brookfield,Waukesha County,Wisconsin,0 +Brookhaven,Lincoln County,Mississippi,0 +Brookhaven,Suffolk County,New York,0 +Brookhaven,Delaware County,Pennsylvania,0 +Brookings,Curry County,Oregon,0 +Brookings,Brookings County,South Dakota,0 +Brookland,Craighead County,Arkansas,0 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County,North Carolina,0 +Buchanan,Haralson County,Georgia,0 +Buchanan,Berrien County,Michigan,0 +Buchanan,Westchester County,New York,0 +Buchanan,Stutsman County,North Dakota,0 +Buchanan,Henry County,Tennessee,0 +Buchanan,Botetourt County,Virginia,0 +Buchanan Dam,Llano County,Texas,0 +Buchtel,Athens County,Ohio,0 +Buck Creek,Tippecanoe County,Indiana,0 +Buck Hill Falls,Monroe County,Pennsylvania,0 +Buckatunna,Wayne County,Mississippi,0 +Buckeye,Maricopa County,Arizona,0 +Buckeye,Hardin County,Iowa,0 +Buckeye,Pocahontas County,West Virginia,0 +Buckeye Lake,Licking County,Ohio,0 +Buckeystown,Frederick County,Maryland,0 +Buckfield,Oxford County,Maine,0 +Buckhannon,Upshur County,West Virginia,0 +Buckhead,Morgan County,Georgia,0 +Buckholts,Milam County,Texas,0 +Buckhorn,Perry County,Kentucky,0 +Buckhorn,Grant County,New Mexico,0 +Buckingham,Kankakee County,Illinois,0 +Buckingham,Tama County,Iowa,0 +Buckingham,Bucks County,Pennsylvania,0 +Buckingham,Buckingham County,Virginia,0 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Parish,Louisiana,0 +Cades,Williamsburg County,South Carolina,0 +Cadet,Washington County,Missouri,0 +Cadillac,Wexford County,Michigan,0 +Cadiz,Trigg County,Kentucky,0 +Cadiz,Harrison County,Ohio,0 +Cadogan,Armstrong County,Pennsylvania,0 +Cadott,Chippewa County,Wisconsin,0 +Cadwell,Laurens County,Georgia,0 +Cadyville,Clinton County,New York,0 +Caguas,,Puerto Rico,0 +Caguas,Caguas Municipio,Puerto Rico,0 +Cahone,Dolores County,Colorado,0 +Cainsville,Harrison County,Missouri,0 +Cairnbrook,Somerset County,Pennsylvania,0 +Cairo,Grady County,Georgia,0 +Cairo,Alexander County,Illinois,0 +Cairo,Randolph County,Missouri,0 +Cairo,Hall County,Nebraska,0 +Cairo,Greene County,New York,0 +Cairo,Allen County,Ohio,0 +Cairo,Ritchie County,West Virginia,0 +Cal Nev Ari,Clark County,Nevada,0 +Calabasas,Los Angeles County,California,0 +Calabash,Brunswick County,North Carolina,0 +Calais,Washington County,Maine,0 +Calais,Washington County,Vermont,0 +Calamus,Clinton County,Iowa,0 +Calcium,Jefferson County,New York,0 +Calder,Shoshone County,Idaho,0 +Caldwell,St. Francis County,Arkansas,0 +Caldwell,Canyon County,Idaho,0 +Caldwell,Sumner County,Kansas,0 +Caldwell,Essex County,New Jersey,0 +Caldwell,Noble County,Ohio,0 +Caldwell,Burleson County,Texas,0 +Caldwell,Greenbrier County,West Virginia,0 +Cale,Nevada County,Arkansas,0 +Caledonia,Boone County,Illinois,0 +Caledonia,Kent County,Michigan,0 +Caledonia,Houston County,Minnesota,0 +Caledonia,Lowndes County,Mississippi,0 +Caledonia,Washington County,Missouri,0 +Caledonia,Livingston County,New York,0 +Caledonia,Traill County,North Dakota,0 +Caledonia,Marion County,Ohio,0 +Caledonia,Racine County,Wisconsin,0 +Calera,Shelby County,Alabama,0 +Calera,Bryan County,Oklahoma,0 +Calexico,Imperial County,California,0 +Calhan,El Paso County,Colorado,0 +Calhoun,Gordon County,Georgia,0 +Calhoun,Richland County,Illinois,0 +Calhoun,McLean County,Kentucky,0 +Calhoun,Ouachita Parish,Louisiana,0 +Calhoun,Henry County,Missouri,0 +Calhoun,McMinn County,Tennessee,0 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County,Virginia,0 +Callender,Webster County,Iowa,0 +Callensburg,Clarion County,Pennsylvania,0 +Callery,Butler County,Pennsylvania,0 +Callicoon,Sullivan County,New York,0 +Callicoon Center,Sullivan County,New York,0 +Calliham,McMullen County,Texas,0 +Calmar,Winneshiek County,Iowa,0 +Calpella,Mendocino County,California,0 +Calpine,Sierra County,California,0 +Calumet,O'Brien County,Iowa,0 +Calumet,Houghton County,Michigan,0 +Calumet,Itasca County,Minnesota,0 +Calumet,Canadian County,Oklahoma,0 +Calumet,Westmoreland County,Pennsylvania,0 +Calumet City,Cook County,Illinois,0 +Calvary,Grady County,Georgia,0 +Calvert,Washington County,Alabama,0 +Calvert,Robertson County,Texas,0 +Calvert City,Marshall County,Kentucky,0 +Calverton,Suffolk County,New York,0 +Calverton,Fauquier County,Virginia,0 +Calvin,Bell County,Kentucky,0 +Calvin,Winn Parish,Louisiana,0 +Calvin,Cavalier County,North Dakota,0 +Calvin,Hughes County,Oklahoma,0 +Calvin,Huntingdon County,Pennsylvania,0 +Calvin,Nicholas County,West Virginia,0 +Calypso,Duplin County,North Carolina,0 +Camak,Warren County,Georgia,0 +Camanche,Clinton County,Iowa,0 +Camano Island,Island County,Washington,0 +Camargo,Douglas County,Illinois,0 +Camargo,Dewey County,Oklahoma,0 +Camarillo,Ventura County,California,0 +Camas,Clark County,Washington,0 +Camas Valley,Douglas County,Oregon,0 +Cambra,Luzerne County,Pennsylvania,0 +Cambria,San Luis Obispo County,California,0 +Cambria,Williamson County,Illinois,0 +Cambria,Columbia County,Wisconsin,0 +Cambria Heights,Queens County,New York,0 +Cambridge,Washington County,Idaho,0 +Cambridge,Henry County,Illinois,0 +Cambridge,Story County,Iowa,0 +Cambridge,Cowley County,Kansas,0 +Cambridge,Somerset County,Maine,0 +Cambridge,Dorchester County,Maryland,0 +Cambridge,Middlesex County,Massachusetts,0 +Cambridge,Isanti County,Minnesota,0 +Cambridge,Furnas County,Nebraska,0 +Cambridge,Washington County,New York,0 +Cambridge,Guernsey County,Ohio,0 +Cambridge,Franklin County,Vermont,0 +Cambridge,Dane County,Wisconsin,0 +Cambridge City,Wayne County,Indiana,0 +Cambridge Springs,Crawford County,Pennsylvania,0 +Cambridgeport,Windham County,Vermont,0 +Camby,Marion County,Indiana,0 +Camden,Wilcox County,Alabama,0 +Camden,Calhoun County,Arkansas,0 +Camden,Ouachita County,Arkansas,0 +Camden,Schuyler County,Illinois,0 +Camden,Carroll County,Indiana,0 +Camden,Knox County,Maine,0 +Camden,Hillsdale County,Michigan,0 +Camden,Madison County,Mississippi,0 +Camden,Ray County,Missouri,0 +Camden,Camden County,New Jersey,0 +Camden,Oneida County,New York,0 +Camden,Camden County,North Carolina,0 +Camden,Preble County,Ohio,0 +Camden,Kershaw County,South Carolina,0 +Camden,Benton County,Tennessee,0 +Camden,Polk County,Texas,0 +Camden,Lewis County,West Virginia,0 +Camden On Gauley,Webster County,West Virginia,0 +Camden Point,Platte County,Missouri,0 +Camden Wyoming,Kent County,Delaware,0 +Camdenton,Camden County,Missouri,0 +Cameron,Coconino County,Arizona,0 +Cameron,Warren County,Illinois,0 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County,North Carolina,0 +Camp Meeker,Sonoma County,California,0 +Camp Murray,Pierce County,Washington,0 +Camp Nelson,Tulare County,California,0 +Camp Pendleton,San Diego County,California,0 +Camp Point,Adams County,Illinois,0 +Camp Sherman,Jefferson County,Oregon,0 +Camp Verde,Yavapai County,Arizona,0 +Camp Wood,Real County,Texas,0 +Campaign,Warren County,Tennessee,0 +Campbell,Clarke County,Alabama,0 +Campbell,Santa Clara County,California,0 +Campbell,Wilkin County,Minnesota,0 +Campbell,Dunklin County,Missouri,0 +Campbell,Franklin County,Nebraska,0 +Campbell,Steuben County,New York,0 +Campbell,Mahoning County,Ohio,0 +Campbell,Hunt County,Texas,0 +Campbell Hall,Orange County,New York,0 +Campbell Hill,Jackson County,Illinois,0 +Campbellsburg,Washington County,Indiana,0 +Campbellsburg,Henry County,Kentucky,0 +Campbellsport,Fond du Lac County,Wisconsin,0 +Campbellsville,Taylor County,Kentucky,0 +Campbellton,Jackson County,Florida,0 +Campbellton,Atascosa County,Texas,0 +Campbelltown,Lebanon County,Pennsylvania,0 +Campo,San Diego County,California,0 +Campo,Baca County,Colorado,0 +Campo Seco,Calaveras County,California,0 +Campobello,Spartanburg County,South Carolina,0 +Campti,Natchitoches Parish,Louisiana,0 +Campton,Wolfe County,Kentucky,0 +Campton,Grafton County,New Hampshire,0 +Camptonville,Yuba County,California,0 +Camptown,Bradford County,Pennsylvania,0 +Campus,Livingston County,Illinois,0 +Camuy,Camuy Municipio,Puerto Rico,0 +Cana,Carroll County,Virginia,0 +Canaan,Litchfield County,Connecticut,0 +Canaan,Switzerland County,Indiana,0 +Canaan,Somerset County,Maine,0 +Canaan,Grafton County,New Hampshire,0 +Canaan,Columbia County,New York,0 +Canaan,Essex County,Vermont,0 +Canada,Pike County,Kentucky,0 +Canadensis,Monroe County,Pennsylvania,0 +Canadian,Pittsburg County,Oklahoma,0 +Canadian,Hemphill County,Texas,0 +Canadys,Colleton County,South Carolina,0 +Canajoharie,Montgomery County,New York,0 +Canal Fulton,Stark County,Ohio,0 +Canal Point,Palm Beach County,Florida,0 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County,Indiana,0 +Cannelton,Perry County,Indiana,0 +Cannelton,Fayette County,West Virginia,0 +Cannon,Knox County,Kentucky,0 +Cannon Afb,Curry County,New Mexico,0 +Cannon Ball,Sioux County,North Dakota,0 +Cannon Beach,Clatsop County,Oregon,0 +Cannon Falls,Goodhue County,Minnesota,0 +Cannonsburg,Kent County,Michigan,0 +Cannonville,Garfield County,Utah,0 +Canoga Park,Los Angeles County,California,0 +Canon,Franklin County,Georgia,0 +Canon City,Fremont County,Colorado,0 +Canones,Rio Arriba County,New Mexico,0 +Canonsburg,Washington County,Pennsylvania,0 +Canova,Miner County,South Dakota,0 +Canovanas,Canovanas Municipio,Puerto Rico,0 +Canterbury,Windham County,Connecticut,0 +Canterbury,Merrimack County,New Hampshire,0 +Cantil,Kern County,California,0 +Canton,Hartford County,Connecticut,0 +Canton,Cherokee County,Georgia,0 +Canton,Fulton County,Illinois,0 +Canton,McPherson County,Kansas,0 +Canton,Oxford County,Maine,0 +Canton,Norfolk County,Massachusetts,0 +Canton,Wayne County,Michigan,0 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County,Texas,0 +Canyonville,Douglas County,Oregon,0 +Capac,St. Clair County,Michigan,0 +Capay,Yolo County,California,0 +Cape Canaveral,Brevard County,Florida,0 +Cape Charles,Northampton County,Virginia,0 +Cape Coral,Lee County,Florida,0 +Cape Elizabeth,Cumberland County,Maine,0 +Cape Fair,Stone County,Missouri,0 +Cape Girardeau,Cape Girardeau County,Missouri,0 +Cape May,Cape May County,New Jersey,0 +Cape May Court House,Cape May County,New Jersey,0 +Cape May Point,Cape May County,New Jersey,0 +Cape Neddick,York County,Maine,0 +Cape Porpoise,York County,Maine,0 +Cape Vincent,Jefferson County,New York,0 +Capeville,Northampton County,Virginia,0 +Capistrano Beach,Orange County,California,0 +Capitan,Lincoln County,New Mexico,0 +Capitol,Carter County,Montana,0 +Capitol Heights,Prince George's County,Maryland,0 +Capitola,Santa Cruz County,California,0 +Caplinger Mills,Cedar County,Missouri,0 +Capon Bridge,Hampshire County,West Virginia,0 +Capon Springs,Hampshire County,West Virginia,0 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County,Virginia,0 +Cardington,Morrow County,Ohio,0 +Cardwell,Dunklin County,Missouri,0 +Cardwell,Madison County,Montana,0 +Carefree,Maricopa County,Arizona,0 +Carencro,Lafayette Parish,Louisiana,0 +Caret,Essex County,Virginia,0 +Carey,Blaine County,Idaho,0 +Carey,Wyandot County,Ohio,0 +Careywood,Bonner County,Idaho,0 +Caribou,Aroostook County,Maine,0 +Carl Junction,Jasper County,Missouri,0 +Carle Place,Nassau County,New York,0 +Carleton,Monroe County,Michigan,0 +Carleton,Thayer County,Nebraska,0 +Carlin,Elko County,Nevada,0 +Carlinville,Macoupin County,Illinois,0 +Carlisle,Lonoke County,Arkansas,0 +Carlisle,Sullivan County,Indiana,0 +Carlisle,Warren County,Iowa,0 +Carlisle,Nicholas County,Kentucky,0 +Carlisle,Middlesex County,Massachusetts,0 +Carlisle,Schoharie County,New York,0 +Carlisle,Cumberland County,Pennsylvania,0 +Carlisle,Union County,South Carolina,0 +Carlock,McLean County,Illinois,0 +Carlos,Douglas County,Minnesota,0 +Carlotta,Humboldt County,California,0 +Carlsbad,San Diego County,California,0 +Carlsbad,Eddy County,New Mexico,0 +Carlsbad,Tom Green County,Texas,0 +Carlsborg,Clallam County,Washington,0 +Carlstadt,Bergen County,New Jersey,0 +Carlton,Clarke County,Alabama,0 +Carlton,Oglethorpe County,Georgia,0 +Carlton,Carlton County,Minnesota,0 +Carlton,Yamhill County,Oregon,0 +Carlton,Mercer County,Pennsylvania,0 +Carlton,Hamilton County,Texas,0 +Carlton,Okanogan County,Washington,0 +Carlyle,Clinton County,Illinois,0 +Carman,Henderson County,Illinois,0 +Carmel,Monterey County,California,0 +Carmel,Hamilton County,Indiana,0 +Carmel,Penobscot County,Maine,0 +Carmel,Putnam County,New York,0 +Carmel By The Sea,Monterey County,California,0 +Carmel Valley,Monterey County,California,0 +Carmen,Lemhi County,Idaho,0 +Carmen,Alfalfa County,Oklahoma,0 +Carmi,White County,Illinois,0 +Carmichael,Sacramento County,California,0 +Carmichaels,Greene County,Pennsylvania,0 +Carmine,Fayette County,Texas,0 +Carnation,King County,Washington,0 +Carnegie,Caddo County,Oklahoma,0 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Carolina,0 +Carrie,Knott County,Kentucky,0 +Carrier,Garfield County,Oklahoma,0 +Carrier Mills,Saline County,Illinois,0 +Carriere,Pearl River County,Mississippi,0 +Carrington,Foster County,North Dakota,0 +Carrizo Springs,Dimmit County,Texas,0 +Carrizozo,Lincoln County,New Mexico,0 +Carroll,Carroll County,Iowa,0 +Carroll,Wayne County,Nebraska,0 +Carroll,Fairfield County,Ohio,0 +Carrolls,Cowlitz County,Washington,0 +Carrollton,Pickens County,Alabama,0 +Carrollton,Carroll County,Georgia,0 +Carrollton,Greene County,Illinois,0 +Carrollton,Carroll County,Kentucky,0 +Carrollton,Saginaw County,Michigan,0 +Carrollton,Carroll County,Mississippi,0 +Carrollton,Carroll County,Missouri,0 +Carrollton,Carroll County,Ohio,0 +Carrollton,Dallas County,Texas,0 +Carrollton,Denton County,Texas,0 +Carrollton,Isle of Wight County,Virginia,0 +Carrolltown,Cambria County,Pennsylvania,0 +Carrsville,Isle of Wight County,Virginia,0 +Carson,Los Angeles County,California,0 +Carson,Pottawattamie County,Iowa,0 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County,Tennessee,0 +Carthage,Panola County,Texas,0 +Cartwright,McKenzie County,North Dakota,0 +Cartwright,Bryan County,Oklahoma,0 +Caruthers,Fresno County,California,0 +Caruthersville,Pemiscot County,Missouri,0 +Carver,Plymouth County,Massachusetts,0 +Carver,Carver County,Minnesota,0 +Carversville,Bucks County,Pennsylvania,0 +Carville,Iberville Parish,Louisiana,0 +Cary,McHenry County,Illinois,0 +Cary,Sharkey County,Mississippi,0 +Cary,Wake County,North Carolina,50 +Caryville,Washington County,Florida,0 +Caryville,Campbell County,Tennessee,0 +Casa,Perry County,Arkansas,0 +Casa Blanca,Cibola County,New Mexico,0 +Casa Grande,Pinal County,Arizona,0 +Casanova,Fauquier County,Virginia,0 +Casar,Cleveland County,North Carolina,0 +Cascade,El Paso County,Colorado,0 +Cascade,Valley County,Idaho,0 +Cascade,Dubuque County,Iowa,0 +Cascade,Washington County,Maryland,0 +Cascade,Wayne County,Missouri,0 +Cascade,Cascade County,Montana,0 +Cascade,Pittsylvania County,Virginia,0 +Cascade,Sheboygan County,Wisconsin,0 +Cascade Locks,Hood River County,Oregon,0 +Cascadia,Linn County,Oregon,0 +Cascilla,Tallahatchie County,Mississippi,0 +Casco,Cumberland County,Maine,0 +Casco,St. Clair County,Michigan,0 +Casco,Kewaunee County,Wisconsin,0 +Caseville,Huron County,Michigan,0 +Casey,Clark County,Illinois,0 +Casey,Guthrie County,Iowa,0 +Caseyville,St. Clair County,Illinois,0 +Cash,Craighead County,Arkansas,0 +Cashiers,Jackson County,North Carolina,0 +Cashion,Maricopa County,Arizona,0 +Cashion,Logan County,Oklahoma,0 +Cashmere,Chelan County,Washington,0 +Cashton,Monroe County,Wisconsin,0 +Cashtown,Adams County,Pennsylvania,0 +Casmalia,Santa Barbara County,California,0 +Casnovia,Muskegon County,Michigan,0 +Cason,Morris County,Texas,0 +Caspar,Mendocino County,California,0 +Casper,Natrona County,Wyoming,0 +Caspian,Iron County,Michigan,0 +Cass,Pocahontas County,West Virginia,0 +Cass City,Tuscola County,Michigan,0 +Cass Lake,Hubbard County,Minnesota,0 +Cassadaga,Volusia County,Florida,0 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County,Missouri,0 +Catskill,Greene County,New York,0 +Cattaraugus,Cattaraugus County,New York,0 +Caulfield,Ozark County,Missouri,0 +Causey,Roosevelt County,New Mexico,0 +Cavalier,Pembina County,North Dakota,0 +Cave City,Sharp County,Arkansas,0 +Cave City,Barren County,Kentucky,0 +Cave Creek,Maricopa County,Arizona,0 +Cave In Rock,Hardin County,Illinois,0 +Cave Junction,Josephine County,Oregon,0 +Cave Spring,Floyd County,Georgia,0 +Cave Springs,Benton County,Arkansas,0 +Cavendish,Windsor County,Vermont,0 +Cavetown,Washington County,Maryland,0 +Cavour,Beadle County,South Dakota,0 +Cawker City,Mitchell County,Kansas,0 +Cawood,Harlan County,Kentucky,0 +Cayce,Lexington County,South Carolina,0 +Cayey,,Puerto Rico,0 +Cayey,Cayey Municipio,Puerto Rico,0 +Cayucos,San Luis Obispo County,California,0 +Cayuga,Vermillion County,Indiana,0 +Cayuga,Cayuga County,New York,0 +Cayuga,Sargent County,North Dakota,0 +Cayuga,Anderson County,Texas,0 +Cayuta,Schuyler County,New York,0 +Cazadero,Sonoma County,California,0 +Cazenovia,Madison County,New York,0 +Cazenovia,Richland County,Wisconsin,0 +Cebolla,Rio Arriba County,New Mexico,0 +Cecil,Montgomery County,Alabama,0 +Cecil,Franklin County,Arkansas,0 +Cecil,Cook County,Georgia,0 +Cecil,Paulding County,Ohio,0 +Cecil,Washington County,Pennsylvania,0 +Cecil,Shawano County,Wisconsin,0 +Cecilia,Hardin County,Kentucky,0 +Cecilia,St Martin Parish,Louisiana,0 +Cecilton,Cecil County,Maryland,0 +Cedar,Mahaska County,Iowa,0 +Cedar,Smith County,Kansas,0 +Cedar,Leelanau County,Michigan,0 +Cedar,Anoka County,Minnesota,0 +Cedar Bluff,Cherokee County,Alabama,0 +Cedar Bluff,Tazewell County,Virginia,0 +Cedar Bluffs,Saunders County,Nebraska,0 +Cedar Brook,Camden County,New Jersey,0 +Cedar City,Iron County,Utah,0 +Cedar Creek,Cass County,Nebraska,0 +Cedar Creek,Bastrop County,Texas,0 +Cedar Crest,Bernalillo County,New Mexico,0 +Cedar Falls,Black Hawk County,Iowa,0 +Cedar Falls,Randolph County,North Carolina,0 +Cedar Glen,San Bernardino County,California,0 +Cedar Grove,Franklin County,Indiana,0 +Cedar Grove,Essex County,New Jersey,0 +Cedar Grove,Orange County,North Carolina,0 +Cedar Grove,Carroll County,Tennessee,0 +Cedar Grove,Kanawha County,West Virginia,0 +Cedar Grove,Sheboygan County,Wisconsin,0 +Cedar Hill,Jefferson County,Missouri,0 +Cedar Hill,Robertson County,Tennessee,0 +Cedar Hill,Dallas County,Texas,0 +Cedar Island,Carteret County,North Carolina,0 +Cedar Key,Levy County,Florida,0 +Cedar Knolls,Morris County,New Jersey,0 +Cedar Lake,Lake County,Indiana,0 +Cedar Lake,Montcalm County,Michigan,0 +Cedar Lane,Matagorda County,Texas,0 +Cedar Mountain,Transylvania County,North Carolina,0 +Cedar Park,Williamson County,Texas,0 +Cedar Point,LaSalle County,Illinois,0 +Cedar Point,Chase County,Kansas,0 +Cedar Rapids,Linn County,Iowa,0 +Cedar Rapids,Boone County,Nebraska,0 +Cedar Ridge,Nevada County,California,0 +Cedar Run,Lycoming County,Pennsylvania,0 +Cedar Springs,Early County,Georgia,0 +Cedar Springs,Kent County,Michigan,0 +Cedar Vale,Chautauqua County,Kansas,0 +Cedar Valley,Utah County,Utah,0 +Cedarbluff,Clay County,Mississippi,0 +Cedarburg,Ozaukee County,Wisconsin,0 +Cedarcreek,Taney County,Missouri,0 +Cedaredge,Delta County,Colorado,0 +Cedarhurst,Nassau County,New York,0 +Cedarpines Park,San Bernardino County,California,0 +Cedars,Montgomery County,Pennsylvania,0 +Cedartown,Polk County,Georgia,0 +Cedarvale,Torrance County,New Mexico,0 +Cedarville,Crawford County,Arkansas,0 +Cedarville,Modoc County,California,0 +Cedarville,Stephenson County,Illinois,0 +Cedarville,Mackinac County,Michigan,0 +Cedarville,Cumberland County,New Jersey,0 +Cedarville,Greene County,Ohio,0 +Cedarville,Gilmer County,West Virginia,0 +Cee Vee,Cottle County,Texas,0 +Ceiba,Ceiba Municipio,Puerto Rico,0 +Celeste,Hunt County,Texas,0 +Celestine,Dubois County,Indiana,0 +Celina,Mercer County,Ohio,0 +Celina,Clay County,Tennessee,0 +Celina,Collin County,Texas,0 +Celoron,Chautauqua County,New York,0 +Cement,Caddo County,Oklahoma,0 +Cement City,Hillsdale County,Michigan,0 +Centenary,Marion County,South Carolina,0 +Centennial,Albany County,Wyoming,0 +Center,Saguache County,Colorado,0 +Center,Metcalfe County,Kentucky,0 +Center,Ralls County,Missouri,0 +Center,Knox County,Nebraska,0 +Center,Oliver County,North Dakota,0 +Center,Shelby County,Texas,0 +Center Barnstead,Belknap County,New Hampshire,0 +Center City,Chisago County,Minnesota,0 +Center Conway,Carroll County,New Hampshire,0 +Center Cross,Essex County,Virginia,0 +Center Harbor,Belknap County,New Hampshire,0 +Center Hill,Sumter County,Florida,0 +Center Junction,Jones County,Iowa,0 +Center Line,Macomb County,Michigan,0 +Center Lovell,Oxford County,Maine,0 +Center Moriches,Suffolk County,New York,0 +Center Ossipee,Carroll County,New Hampshire,0 +Center Point,Linn County,Iowa,0 +Center Point,Avoyelles Parish,Louisiana,0 +Center Point,Kerr County,Texas,0 +Center Point,Doddridge County,West Virginia,0 +Center Ridge,Conway County,Arkansas,0 +Center Rutland,Rutland County,Vermont,0 +Center Sandwich,Carroll County,New Hampshire,0 +Center Strafford,Strafford County,New Hampshire,0 +Center Tuftonboro,Carroll County,New Hampshire,0 +Center Valley,Lehigh County,Pennsylvania,0 +Centerbrook,Middlesex County,Connecticut,0 +Centerburg,Knox County,Ohio,0 +Centereach,Suffolk County,New York,0 +Centerfield,Sanpete County,Utah,0 +Centerpoint,Clay County,Indiana,0 +Centerport,Suffolk County,New York,0 +Centerport,Berks County,Pennsylvania,0 +Centerton,Benton County,Arkansas,0 +Centertown,Ohio County,Kentucky,0 +Centertown,Cole County,Missouri,0 +Centerview,Johnson County,Missouri,0 +Centerville,Yell County,Arkansas,0 +Centerville,Houston County,Georgia,0 +Centerville,Wayne County,Indiana,0 +Centerville,Appanoose County,Iowa,0 +Centerville,Linn County,Kansas,0 +Centerville,St Mary Parish,Louisiana,0 +Centerville,Barnstable County,Massachusetts,0 +Centerville,Reynolds County,Missouri,0 +Centerville,Allegany County,New York,0 +Centerville,Crawford County,Pennsylvania,0 +Centerville,Turner County,South Dakota,0 +Centerville,Hickman County,Tennessee,0 +Centerville,Leon County,Texas,0 +Centerville,Davis County,Utah,0 +Centerville,Klickitat County,Washington,0 +Centrahoma,Coal County,Oklahoma,0 +Central,Yukon-Koyukuk Census Area,Alaska,0 +Central,Graham County,Arizona,0 +Central,Harrison County,Indiana,0 +Central,Pickens County,South Carolina,0 +Central,Washington County,Utah,0 +Central Bridge,Schoharie County,New York,0 +Central City,Gilpin County,Colorado,0 +Central City,Linn County,Iowa,0 +Central City,Muhlenberg County,Kentucky,0 +Central City,Merrick County,Nebraska,0 +Central City,Somerset County,Pennsylvania,0 +Central Falls,Providence County,Rhode Island,0 +Central Islip,Suffolk County,New York,0 +Central Lake,Antrim County,Michigan,0 +Central Point,Jackson County,Oregon,0 +Central Square,Oswego County,New York,0 +Central Valley,Orange County,New York,0 +Central Village,Windham County,Connecticut,0 +Centralia,Marion County,Illinois,0 +Centralia,Nemaha County,Kansas,0 +Centralia,Boone County,Missouri,0 +Centralia,Trinity County,Texas,0 +Centralia,Lewis County,Washington,0 +Centre,Cherokee County,Alabama,0 +Centre Hall,Centre County,Pennsylvania,0 +Centreville,Bibb County,Alabama,0 +Centreville,Queen Anne's County,Maryland,0 +Centreville,St. Joseph County,Michigan,0 +Centreville,Wilkinson County,Mississippi,0 +Centreville,Fairfax County,Virginia,0 +Centuria,Polk County,Wisconsin,0 +Century,Escambia County,Florida,0 +Ceredo,Wayne County,West Virginia,0 +Ceres,Stanislaus County,California,0 +Ceres,Allegany County,New York,0 +Ceres,Bland County,Virginia,0 +Ceresco,Calhoun County,Michigan,0 +Ceresco,Saunders County,Nebraska,0 +Cerrillos,Santa Fe County,New Mexico,0 +Cerritos,Los Angeles County,California,0 +Cerro,Taos County,New Mexico,0 +Cerro Gordo,Piatt County,Illinois,0 +Cerro Gordo,Columbus County,North Carolina,0 +Cerulean,Christian County,Kentucky,0 +Ceylon,Martin County,Minnesota,0 +Chacon,Mora County,New Mexico,0 +Chadbourn,Columbus County,North Carolina,0 +Chadds Ford,Delaware County,Pennsylvania,0 +Chadron,Dawes County,Nebraska,0 +Chadwick,Carroll County,Illinois,0 +Chadwick,Christian County,Missouri,0 +Chadwicks,Oneida County,New York,0 +Chaffee,Scott County,Missouri,0 +Chaffee,Erie County,New York,0 +Chagrin Falls,Cuyahoga County,Ohio,0 +Chagrin Falls,Geauga County,Ohio,0 +Chalfont,Bucks County,Pennsylvania,0 +Chalk Hill,Fayette County,Pennsylvania,0 +Chalkyitsik,Yukon-Koyukuk Census Area,Alaska,0 +Challenge,Yuba County,California,0 +Challis,Custer County,Idaho,0 +Chalmers,White County,Indiana,0 +Chalmette,St Bernard Parish,Louisiana,0 +Chalmette,St. Bernard Parish,Louisiana,0 +Chama,Costilla County,Colorado,0 +Chama,Rio Arriba County,New Mexico,0 +Chamberino,Do�a Ana County,New Mexico,0 +Chamberlain,Lincoln County,Maine,0 +Chamberlain,Brule County,South Dakota,0 +Chambers,Apache County,Arizona,0 +Chambers,Holt County,Nebraska,0 +Chambersburg,Pike County,Illinois,0 +Chambersburg,Franklin County,Pennsylvania,0 +Chambersville,Indiana County,Pennsylvania,0 +Chamisal,Taos County,New Mexico,0 +Chamois,Osage County,Missouri,0 +Champaign,Champaign County,Illinois,0 +Champion,Marquette County,Michigan,0 +Champion,Chase County,Nebraska,0 +Champion,Fayette County,Pennsylvania,0 +Champlain,Clinton County,New York,0 +Champlain,Essex County,Virginia,0 +Champlin,Hennepin County,Minnesota,0 +Chana,Ogle County,Illinois,0 +Chancellor,Geneva County,Alabama,0 +Chancellor,Turner County,South Dakota,0 +Chandler,Maricopa County,Arizona,0 +Chandler,Warrick County,Indiana,0 +Chandler,Murray County,Minnesota,0 +Chandler,Lincoln County,Oklahoma,0 +Chandler,Henderson County,Texas,0 +Chandler Heights,Maricopa County,Arizona,0 +Chandlers Valley,Warren County,Pennsylvania,0 +Chandlersville,Muskingum County,Ohio,0 +Chandlerville,Cass County,Illinois,0 +Changewater,Hunterdon County,New Jersey,0 +Chanhassen,Carver County,Minnesota,0 +Channahon,Will County,Illinois,0 +Channelview,Harris County,Texas,0 +Channing,Dickinson County,Michigan,0 +Channing,Hartley County,Texas,0 +Chantilly,Fairfax County,Virginia,0 +Chantilly,Loudoun County,Virginia,0 +Chanute,Neosho County,Kansas,0 +Chaparral,Otero County,New Mexico,0 +Chapel Hill,Orange County,North Carolina,0 +Chapel Hill,Marshall County,Tennessee,0 +Chapin,Morgan County,Illinois,0 +Chapin,Franklin County,Iowa,0 +Chapin,Lexington County,South Carolina,0 +Chaplin,Windham County,Connecticut,0 +Chaplin,Nelson County,Kentucky,0 +Chapman,Butler County,Alabama,0 +Chapman,Dickinson County,Kansas,0 +Chapman,Merrick County,Nebraska,0 +Chapman Ranch,Nueces County,Texas,0 +Chapmansboro,Cheatham County,Tennessee,0 +Chapmanville,Logan County,West Virginia,0 +Chappaqua,Westchester County,New York,0 +Chappell,Leslie County,Kentucky,0 +Chappell,Deuel County,Nebraska,0 +Chappell Hill,Washington County,Texas,0 +Chappells,Newberry County,South Carolina,0 +Chaptico,St. Mary's County,Maryland,0 +Chardon,Geauga County,Ohio,0 +Charenton,St. Mary Parish,Louisiana,0 +Chariton,Lucas County,Iowa,0 +Charlemont,Franklin County,Massachusetts,0 +Charleroi,Washington County,Pennsylvania,0 +Charles City,Floyd County,Iowa,0 +Charles City,Charles City County,Virginia,0 +Charles Town,Jefferson County,West Virginia,0 +Charleston,Franklin County,Arkansas,0 +Charleston,Coles County,Illinois,0 +Charleston,Penobscot County,Maine,0 +Charleston,Tallahatchie County,Mississippi,0 +Charleston,Mississippi County,Missouri,0 +Charleston,Berkeley County,South Carolina,0 +Charleston,Charleston County,South Carolina,0 +Charleston,Bradley County,Tennessee,0 +Charleston,Kanawha County,West Virginia,0 +Charleston Afb,Charleston County,South Carolina,0 +Charlestown,Clark County,Indiana,0 +Charlestown,Cecil County,Maryland,0 +Charlestown,Suffolk County,Massachusetts,0 +Charlestown,Sullivan County,New Hampshire,0 +Charlestown,Washington County,Rhode Island,0 +Charlevoix,Charlevoix County,Michigan,0 +Charlo,Lake County,Montana,0 +Charlotte,Independence County,Arkansas,0 +Charlotte,Clinton County,Iowa,0 +Charlotte,Eaton County,Michigan,0 +Charlotte,Mecklenburg County,North Carolina,0 +Charlotte,Dickson County,Tennessee,0 +Charlotte,Atascosa County,Texas,0 +Charlotte,Chittenden County,Vermont,0 +Charlotte Court House,Charlotte County,Virginia,0 +Charlotte Hall,Charles County,Maryland,0 +Charlottesville,Hancock County,Indiana,0 +Charlottesville,Albemarle County,Virginia,0 +Charlottesville,Charlottesville City,Virginia,0 +Charlottesville,Charlottesville city,Virginia,0 +Charlotteville,Schoharie County,New York,0 +Charlton,Worcester County,Massachusetts,0 +Charlton City,Worcester County,Massachusetts,0 +Charlton Depot,Worcester County,Massachusetts,0 +Charlton Heights,Fayette County,West Virginia,0 +Charm,Holmes County,Ohio,0 +Charmco,Greenbrier County,West Virginia,0 +Charter Oak,Crawford County,Iowa,0 +Chartley,Bristol County,Massachusetts,0 +Chase,Rice County,Kansas,0 +Chase,Franklin Parish,Louisiana,0 +Chase,Baltimore County,Maryland,0 +Chase,Lake County,Michigan,0 +Chase City,Mecklenburg County,Virginia,0 +Chase Mills,St. Lawrence County,New York,0 +Chaseburg,Vernon County,Wisconsin,0 +Chaseley,Wells County,North Dakota,0 +Chaska,Carver County,Minnesota,0 +Chassell,Houghton County,Michigan,0 +Chataignier,Evangeline Parish,Louisiana,0 +Chatawa,Pike County,Mississippi,0 +Chateaugay,Franklin County,New York,0 +Chatfield,Fillmore County,Minnesota,0 +Chatfield,Crawford County,Ohio,0 +Chatfield,Navarro County,Texas,0 +Chatham,Sangamon County,Illinois,0 +Chatham,Jackson Parish,Louisiana,0 +Chatham,Barnstable County,Massachusetts,0 +Chatham,Alger County,Michigan,0 +Chatham,Washington County,Mississippi,0 +Chatham,Morris County,New Jersey,0 +Chatham,Columbia County,New York,0 +Chatham,Chester County,Pennsylvania,0 +Chatham,Pittsylvania County,Virginia,0 +Chatom,Washington County,Alabama,0 +Chatsworth,Los Angeles County,California,0 +Chatsworth,Murray County,Georgia,0 +Chatsworth,Livingston County,Illinois,0 +Chatsworth,Sioux County,Iowa,0 +Chatsworth,Burlington County,New Jersey,0 +Chattahoochee,Gadsden County,Florida,0 +Chattanooga,Tillman County,Oklahoma,0 +Chattanooga,Hamilton County,Tennessee,0 +Chattaroy,Spokane County,Washington,0 +Chattaroy,Mingo County,West Virginia,0 +Chaumont,Jefferson County,New York,0 +Chauncey,Dodge County,Georgia,0 +Chauncey,Athens County,Ohio,0 +Chauncey,Logan County,West Virginia,0 +Chautauqua,Chautauqua County,Kansas,0 +Chautauqua,Chautauqua County,New York,0 +Chauvin,Terrebonne Parish,Louisiana,0 +Chavies,Perry County,Kentucky,0 +Chazy,Clinton County,New York,0 +Chebanse,Kankakee County,Illinois,0 +Chebeague Island,Cumberland County,Maine,0 +Cheboygan,Cheboygan County,Michigan,0 +Check,Floyd County,Virginia,0 +Checotah,McIntosh County,Oklahoma,0 +Chefornak,Bethel Census Area,Alaska,0 +Chehalis,Lewis County,Washington,0 +Chelan,Chelan County,Washington,0 +Chelan Falls,Chelan County,Washington,0 +Chelmsford,Middlesex County,Massachusetts,0 +Chelsea,Shelby County,Alabama,0 +Chelsea,Tama County,Iowa,0 +Chelsea,Suffolk County,Massachusetts,0 +Chelsea,Washtenaw County,Michigan,0 +Chelsea,Dutchess County,New York,0 +Chelsea,Rogers County,Oklahoma,0 +Chelsea,Orange County,Vermont,0 +Cheltenham,Prince George's County,Maryland,0 +Cheltenham,Montgomery County,Pennsylvania,0 +Chemult,Klamath County,Oregon,0 +Chemung,Chemung County,New York,0 +Chenango Bridge,Broome County,New York,0 +Chenango Forks,Broome County,New York,0 +Cheney,Sedgwick County,Kansas,0 +Cheney,Spokane County,Washington,0 +Cheneyville,Rapides Parish,Louisiana,0 +Chenoa,McLean County,Illinois,0 +Chepachet,Providence County,Rhode Island,0 +Cheraw,Otero County,Colorado,0 +Cheraw,Chesterfield County,South Carolina,0 +Cheriton,Northampton County,Virginia,0 +Cherokee,Colbert County,Alabama,0 +Cherokee,Cherokee County,Iowa,0 +Cherokee,Crawford County,Kansas,0 +Cherokee,Jackson County,North Carolina,0 +Cherokee,Alfalfa County,Oklahoma,0 +Cherokee,San Saba County,Texas,0 +Cherokee Village,Fulton County,Arkansas,0 +Cherokee Village,Sharp County,Arkansas,0 +Cherry,Bureau County,Illinois,0 +Cherry Creek,Chautauqua County,New York,0 +Cherry Creek,Ziebach County,South Dakota,0 +Cherry Fork,Adams County,Ohio,0 +Cherry Hill,Camden County,New Jersey,0 +Cherry Log,Gilmer County,Georgia,0 +Cherry Plain,Rensselaer County,New York,0 +Cherry Point,Craven County,North Carolina,0 +Cherry Tree,Indiana County,Pennsylvania,0 +Cherry Valley,Cross County,Arkansas,0 +Cherry Valley,Winnebago County,Illinois,0 +Cherry Valley,Worcester County,Massachusetts,0 +Cherry Valley,Otsego County,New York,0 +Cherryfield,Washington County,Maine,0 +Cherryvale,Montgomery County,Kansas,0 +Cherryville,Crawford County,Missouri,0 +Cherryville,Gaston County,North Carolina,0 +Cherryville,Northampton County,Pennsylvania,0 +Chesaning,Saginaw County,Michigan,0 +Chesapeake,Lawrence County,Ohio,0 +Chesapeake,Chesapeake City,Virginia,0 +Chesapeake,Chesapeake city,Virginia,0 +Chesapeake Beach,Calvert County,Maryland,0 +Chesapeake City,Cecil County,Maryland,0 +Cheshire,New Haven County,Connecticut,0 +Cheshire,Berkshire County,Massachusetts,0 +Cheshire,Gallia County,Ohio,0 +Cheshire,Lane County,Oregon,0 +Chesnee,Spartanburg County,South Carolina,0 +Chest Springs,Cambria County,Pennsylvania,0 +Chester,Crawford County,Arkansas,0 +Chester,Plumas County,California,0 +Chester,Middlesex County,Connecticut,0 +Chester,Dodge County,Georgia,0 +Chester,Fremont County,Idaho,0 +Chester,Randolph County,Illinois,0 +Chester,Howard County,Iowa,0 +Chester,Queen Anne's County,Maryland,0 +Chester,Hampden County,Massachusetts,0 +Chester,Liberty County,Montana,0 +Chester,Thayer County,Nebraska,0 +Chester,Rockingham County,New Hampshire,0 +Chester,Morris County,New Jersey,0 +Chester,Orange County,New York,0 +Chester,Meigs County,Ohio,0 +Chester,Major County,Oklahoma,0 +Chester,Delaware County,Pennsylvania,0 +Chester,Chester County,South Carolina,0 +Chester,Lake County,South Dakota,0 +Chester,Tyler County,Texas,0 +Chester,Sanpete County,Utah,0 +Chester,Windsor County,Vermont,0 +Chester,Chesterfield County,Virginia,0 +Chester,Hancock County,West Virginia,0 +Chester Depot,Windsor County,Vermont,0 +Chester Gap,Rappahannock County,Virginia,0 +Chester Heights,Delaware County,Pennsylvania,0 +Chester Springs,Chester County,Pennsylvania,0 +Chesterfield,Macoupin County,Illinois,0 +Chesterfield,Hampshire County,Massachusetts,0 +Chesterfield,St. Louis County,Missouri,0 +Chesterfield,Cheshire County,New Hampshire,0 +Chesterfield,Burlington County,New Jersey,0 +Chesterfield,Chesterfield County,South Carolina,0 +Chesterfield,Chesterfield County,Virginia,0 +Chesterhill,Morgan County,Ohio,0 +Chesterland,Geauga County,Ohio,0 +Chesterton,Porter County,Indiana,0 +Chestertown,Kent County,Maryland,0 +Chestertown,Warren County,New York,0 +Chesterville,Morrow County,Ohio,0 +Chestnut,Logan County,Illinois,0 +Chestnut Hill,Norfolk County,Massachusetts,0 +Chestnut Mound,Smith County,Tennessee,0 +Chestnut Mountain,Hall County,Georgia,0 +Chestnut Ridge,Fayette County,Pennsylvania,0 +Chestnutridge,Christian County,Missouri,0 +Cheswick,Allegheny County,Pennsylvania,0 +Cheswold,Kent County,Delaware,0 +Chetek,Barron County,Wisconsin,0 +Chetopa,Labette County,Kansas,0 +Chevak,Wade Hampton Census Area,Alaska,0 +Chevy Chase,Montgomery County,Maryland,0 +Chewalla,McNairy County,Tennessee,0 +Chewelah,Stevens County,Washington,0 +Chewsville,Washington County,Maryland,0 +Cheyenne,Roger Mills County,Oklahoma,0 +Cheyenne,Laramie County,Wyoming,0 +Cheyenne Wells,Cheyenne County,Colorado,0 +Cheyney,Delaware County,Pennsylvania,0 +Chicago,Cook County,Illinois,0 +Chicago Heights,Cook County,Illinois,0 +Chicago Park,Nevada County,California,0 +Chicago Ridge,Cook County,Illinois,0 +Chichester,Merrimack County,New Hampshire,0 +Chichester,Ulster County,New York,0 +Chickamauga,Walker County,Georgia,0 +Chickasaw,Mercer County,Ohio,0 +Chickasha,Grady County,Oklahoma,0 +Chicken,Southeast Fairbanks Census Area,Alaska,0 +Chico,Butte County,California,0 +Chico,Wise County,Texas,0 +Chicopee,Hampden County,Massachusetts,50 +Chicora,Butler County,Pennsylvania,0 +Chicota,Lamar County,Texas,0 +Chidester,Ouachita County,Arkansas,0 +Chiefland,Levy County,Florida,0 +Chignik,Lake and Peninsula Borough,Alaska,0 +Chignik Lagoon,Lake and Peninsula Borough,Alaska,0 +Chignik Lake,Lake and Peninsula Borough,Alaska,0 +Chilcoot,Plumas County,California,0 +Childersburg,Talladega County,Alabama,0 +Childress,Childress County,Texas,0 +Childs,Cecil County,Maryland,0 +Childwold,St. Lawrence County,New York,0 +Chilhowee,Johnson County,Missouri,0 +Chilhowie,Smyth County,Virginia,0 +Chili,Clark County,Wisconsin,0 +Chillicothe,Peoria County,Illinois,0 +Chillicothe,Wapello County,Iowa,0 +Chillicothe,Livingston County,Missouri,0 +Chillicothe,Ross County,Ohio,0 +Chillicothe,Hardeman County,Texas,0 +Chilmark,Dukes County,Massachusetts,0 +Chilo,Clermont County,Ohio,0 +Chiloquin,Klamath County,Oregon,0 +Chilton,Falls County,Texas,0 +Chilton,Calumet County,Wisconsin,0 +Chimacum,Jefferson County,Washington,0 +Chimayo,Rio Arriba County,New Mexico,0 +Chimney Rock,Archuleta County,Colorado,0 +Chimney Rock,Rutherford County,North Carolina,0 +China,Jefferson County,Texas,0 +China Grove,Rowan County,North Carolina,0 +China Spring,McLennan County,Texas,0 +China Village,Kennebec County,Maine,0 +Chinchilla,Lackawanna County,Pennsylvania,0 +Chincoteague Island,Accomack County,Virginia,0 +Chinese Camp,Tuolumne County,California,0 +Chinle,Apache County,Arizona,0 +Chino,San Bernardino County,California,0 +Chino Hills,San Bernardino County,California,0 +Chino Valley,Yavapai County,Arizona,0 +Chinook,Blaine County,Montana,0 +Chinook,Pacific County,Washington,0 +Chinquapin,Duplin County,North Carolina,0 +Chipley,Washington County,Florida,0 +Chippewa Bay,St. Lawrence County,New York,0 +Chippewa Falls,Chippewa County,Wisconsin,0 +Chippewa Lake,Mecosta County,Michigan,0 +Chippewa Lake,Medina County,Ohio,0 +Chireno,Nacogdoches County,Texas,0 +Chisago City,Chisago County,Minnesota,0 +Chisholm,St. Louis County,Minnesota,0 +Chitina,Valdez-Cordova Census Area,Alaska,0 +Chittenango,Madison County,New York,0 +Chittenden,Rutland County,Vermont,0 +Chloe,Calhoun County,West Virginia,0 +Chloride,Mohave County,Arizona,0 +Choccolocco,Calhoun County,Alabama,0 +Chocorua,Carroll County,New Hampshire,0 +Chocowinity,Beaufort County,North Carolina,0 +Choctaw,Van Buren County,Arkansas,0 +Choctaw,Oklahoma County,Oklahoma,0 +Chokio,Stevens County,Minnesota,0 +Chokoloskee,Collier County,Florida,0 +Choteau,Teton County,Montana,0 +Choudrant,Lincoln Parish,Louisiana,0 +Chouteau,Mayes County,Oklahoma,0 +Chowchilla,Madera County,California,0 +Chriesman,Burleson County,Texas,0 +Chrisman,Edgar County,Illinois,0 +Chrisney,Spencer County,Indiana,0 +Christchurch,Middlesex County,Virginia,0 +Christiana,Lancaster County,Pennsylvania,0 +Christiana,Rutherford County,Tennessee,0 +Christiansburg,Champaign County,Ohio,0 +Christiansburg,Montgomery County,Virginia,0 +Christine,Richland County,North Dakota,0 +Christine,Atascosa County,Texas,0 +Christmas,Orange County,Florida,0 +Christmas Valley,Lake County,Oregon,0 +Christopher,Franklin County,Illinois,0 +Christoval,Tom Green County,Texas,0 +Chromo,Archuleta County,Colorado,0 +Chualar,Monterey County,California,0 +Chuckey,Greene County,Tennessee,0 +Chugiak,Anchorage Municipality,Alaska,0 +Chugwater,Platte County,Wyoming,0 +Chula,Tift County,Georgia,0 +Chula,Livingston County,Missouri,0 +Chula Vista,San Diego County,California,0 +Chunchula,Mobile County,Alabama,0 +Chunky,Newton County,Mississippi,0 +Church Creek,Dorchester County,Maryland,0 +Church Hill,Queen Anne's County,Maryland,0 +Church Hill,Hawkins County,Tennessee,0 +Church Point,Acadia Parish,Louisiana,0 +Church Road,Dinwiddie County,Virginia,0 +Church Rock,McKinley County,New Mexico,0 +Church View,Middlesex County,Virginia,0 +Churchs Ferry,Ramsey County,North Dakota,0 +Churchton,Anne Arundel County,Maryland,0 +Churchville,Harford County,Maryland,0 +Churchville,Monroe County,New York,0 +Churchville,Augusta County,Virginia,0 +Churdan,Greene County,Iowa,0 +Churubusco,Whitley County,Indiana,0 +Churubusco,Clinton County,New York,0 +Ciales,Ciales Municipio,Puerto Rico,0 +Cibecue,Navajo County,Arizona,0 +Cibola,La Paz County,Arizona,0 +Cibolo,Guadalupe County,Texas,0 +Cicero,Cook County,Illinois,0 +Cicero,Hamilton County,Indiana,0 +Cicero,Onondaga County,New York,0 +Cidra,Cidra Municipio,Puerto Rico,0 +Cima,San Bernardino County,California,0 +Cimarron,Gunnison County,Colorado,0 +Cimarron,Gray County,Kansas,0 +Cimarron,Colfax County,New Mexico,0 +Cincinnati,Appanoose County,Iowa,0 +Cincinnati,Clermont County,Ohio,0 +Cincinnati,Hamilton County,Ohio,0 +Cincinnatus,Cortland County,New York,0 +Cinebar,Lewis County,Washington,0 +Circle,Yukon-Koyukuk Census Area,Alaska,0 +Circle,McCone County,Montana,0 +Circle Pines,Anoka County,Minnesota,0 +Circleville,Jackson County,Kansas,0 +Circleville,Orange County,New York,0 +Circleville,Pickaway County,Ohio,0 +Circleville,Piute County,Utah,0 +Circleville,Pendleton County,West Virginia,0 +Cisco,Murray County,Georgia,0 +Cisco,Piatt County,Illinois,0 +Cisco,Eastland County,Texas,0 +Cisco,Grand County,Utah,0 +Cisne,Wayne County,Illinois,0 +Cissna Park,Iroquois County,Illinois,0 +Citra,Marion County,Florida,0 +Citronelle,Mobile County,Alabama,0 +Citrus Heights,Sacramento County,California,0 +City Of Industry,Los Angeles County,California,0 +Clackamas,Clackamas County,Oregon,0 +Claflin,Barton County,Kansas,0 +Claiborne,Talbot County,Maryland,0 +Claire City,Roberts County,South Dakota,0 +Clairfield,Claiborne County,Tennessee,0 +Clairton,Allegheny County,Pennsylvania,0 +Clallam Bay,Clallam County,Washington,0 +Clam Gulch,Kenai Peninsula Borough,Alaska,0 +Clam Lake,Ashland County,Wisconsin,0 +Clancy,Jefferson County,Montana,0 +Clanton,Chilton County,Alabama,0 +Clara,Wayne County,Mississippi,0 +Clara City,Chippewa County,Minnesota,0 +Clarcona,Orange County,Florida,0 +Clare,DeKalb County,Illinois,0 +Clare,Webster County,Iowa,0 +Clare,Clare County,Michigan,0 +Claremont,Los Angeles County,California,0 +Claremont,Richland County,Illinois,0 +Claremont,Dodge County,Minnesota,0 +Claremont,Sullivan County,New Hampshire,0 +Claremont,Catawba County,North Carolina,0 +Claremont,Brown County,South Dakota,0 +Claremont,Surry County,Virginia,0 +Claremore,Rogers County,Oklahoma,0 +Clarence,Cedar County,Iowa,0 +Clarence,Natchitoches Parish,Louisiana,0 +Clarence,Shelby County,Missouri,0 +Clarence,Erie County,New York,0 +Clarence,Centre County,Pennsylvania,0 +Clarence Center,Erie County,New York,0 +Clarendon,Monroe County,Arkansas,0 +Clarendon,Orleans County,New York,0 +Clarendon,Columbus County,North Carolina,0 +Clarendon,Warren County,Pennsylvania,0 +Clarendon,Donley County,Texas,0 +Clarendon Hills,DuPage County,Illinois,0 +Claridge,Westmoreland County,Pennsylvania,0 +Clarinda,Page County,Iowa,0 +Clarington,Monroe County,Ohio,0 +Clarington,Jefferson County,Pennsylvania,0 +Clarion,Wright County,Iowa,0 +Clarion,Clarion County,Pennsylvania,0 +Clarissa,Todd County,Minnesota,0 +Clarita,Coal County,Oklahoma,0 +Clark,Routt County,Colorado,0 +Clark,Randolph County,Missouri,0 +Clark,Union County,New Jersey,0 +Clark,Mercer County,Pennsylvania,0 +Clark,Clark County,South Dakota,0 +Clark Fork,Bonner County,Idaho,0 +Clark Mills,Oneida County,New York,0 +Clarkdale,Yavapai County,Arizona,0 +Clarkdale,Cobb County,Georgia,0 +Clarkedale,Crittenden County,Arkansas,0 +Clarkesville,Habersham County,Georgia,0 +Clarkfield,Yellow Medicine County,Minnesota,0 +Clarkia,Shoshone County,Idaho,0 +Clarklake,Jackson County,Michigan,0 +Clarkrange,Fentress County,Tennessee,0 +Clarkridge,Baxter County,Arkansas,0 +Clarks,Caldwell Parish,Louisiana,0 +Clarks,Merrick County,Nebraska,0 +Clarks Grove,Freeborn County,Minnesota,0 +Clarks Hill,Tippecanoe County,Indiana,0 +Clarks Hill,McCormick County,South Carolina,0 +Clarks Mills,Mercer County,Pennsylvania,0 +Clarks Point,Dillingham Census Area,Alaska,0 +Clarks Summit,Lackawanna County,Pennsylvania,0 +Clarksboro,Gloucester County,New Jersey,0 +Clarksburg,Yolo County,California,0 +Clarksburg,Decatur County,Indiana,0 +Clarksburg,Montgomery County,Maryland,0 +Clarksburg,Moniteau County,Missouri,0 +Clarksburg,Ross County,Ohio,0 +Clarksburg,Indiana County,Pennsylvania,0 +Clarksburg,Carroll County,Tennessee,0 +Clarksburg,Harrison County,West Virginia,0 +Clarksdale,Coahoma County,Mississippi,0 +Clarksdale,DeKalb County,Missouri,0 +Clarkson,Grayson County,Kentucky,0 +Clarkson,Colfax County,Nebraska,0 +Clarkson,Monroe County,New York,0 +Clarkston,DeKalb County,Georgia,0 +Clarkston,Oakland County,Michigan,0 +Clarkston,Cache County,Utah,0 +Clarkston,Asotin County,Washington,0 +Clarksville,Johnson County,Arkansas,0 +Clarksville,Calhoun County,Florida,0 +Clarksville,Clark County,Indiana,0 +Clarksville,Butler County,Iowa,0 +Clarksville,Howard County,Maryland,0 +Clarksville,Ionia County,Michigan,0 +Clarksville,Pike County,Missouri,0 +Clarksville,Albany County,New York,0 +Clarksville,Clinton County,Ohio,0 +Clarksville,Greene County,Pennsylvania,0 +Clarksville,Montgomery County,Tennessee,0 +Clarksville,Red River County,Texas,0 +Clarksville,Mecklenburg County,Virginia,0 +Clarkton,Dunklin County,Missouri,0 +Clarkton,Bladen County,North Carolina,0 +Claryville,Ulster County,New York,0 +Clatonia,Gage County,Nebraska,0 +Clatskanie,Columbia County,Oregon,0 +Claude,Armstrong County,Texas,0 +Claudville,Patrick County,Virginia,0 +Claunch,Lincoln County,New Mexico,0 +Claverack,Columbia County,New York,0 +Clawson,Oakland County,Michigan,0 +Clawson,Emery County,Utah,0 +Claxton,Evans County,Georgia,0 +Clay,Jefferson County,Alabama,0 +Clay,Webster County,Kentucky,0 +Clay,Onondaga County,New York,0 +Clay,Clay County,West Virginia,0 +Clay Center,Clay County,Kansas,0 +Clay Center,Clay County,Nebraska,0 +Clay Center,Ottawa County,Ohio,0 +Clay City,Clay County,Illinois,0 +Clay City,Clay County,Indiana,0 +Clay City,Powell County,Kentucky,0 +Clay Springs,Navajo County,Arizona,0 +Clayhole,Breathitt County,Kentucky,0 +Claymont,New Castle County,Delaware,0 +Claypool,Gila County,Arizona,0 +Claypool,Kosciusko County,Indiana,0 +Claysburg,Blair County,Pennsylvania,0 +Claysville,Washington County,Pennsylvania,0 +Clayton,Barbour County,Alabama,0 +Clayton,Contra Costa County,California,0 +Clayton,Kent County,Delaware,0 +Clayton,Rabun County,Georgia,0 +Clayton,Custer County,Idaho,0 +Clayton,Adams County,Illinois,0 +Clayton,Hendricks County,Indiana,0 +Clayton,Norton County,Kansas,0 +Clayton,Concordia Parish,Louisiana,0 +Clayton,Lenawee County,Michigan,0 +Clayton,Gloucester County,New Jersey,0 +Clayton,Union County,New Mexico,0 +Clayton,Jefferson County,New York,0 +Clayton,Johnston County,North Carolina,0 +Clayton,Montgomery County,Ohio,0 +Clayton,Pushmataha County,Oklahoma,0 +Clayton,Panola County,Texas,0 +Clayton,Stevens County,Washington,0 +Clayton,Polk County,Wisconsin,0 +Clayton Lake,Aroostook County,Maine,0 +Claytonville,Iroquois County,Illinois,0 +Clayville,Oneida County,New York,0 +Clayville,Providence County,Rhode Island,0 +Cle Elum,Kittitas County,Washington,0 +Clear,Denali Borough,Alaska,0 +Clear Brook,Frederick County,Virginia,0 +Clear Creek,Monroe County,Indiana,0 +Clear Creek,Raleigh County,West Virginia,0 +Clear Fork,Wyoming County,West Virginia,0 +Clear Lake,Cerro Gordo County,Iowa,0 +Clear Lake,Sherburne County,Minnesota,0 +Clear Lake,Deuel County,South Dakota,0 +Clear Lake,Polk County,Wisconsin,0 +Clear Spring,Washington County,Maryland,0 +Clearbrook,Clearwater County,Minnesota,0 +Clearfield,Taylor County,Iowa,0 +Clearfield,Rowan County,Kentucky,0 +Clearfield,Clearfield County,Pennsylvania,0 +Clearfield,Davis County,Utah,0 +Clearlake,Lake County,California,0 +Clearlake,Skagit County,Washington,0 +Clearlake Oaks,Lake County,California,0 +Clearlake Park,Lake County,California,0 +Clearmont,Nodaway County,Missouri,0 +Clearmont,Sheridan County,Wyoming,0 +Clearview City,Johnson County,Kansas,0 +Clearville,Bedford County,Pennsylvania,0 +Clearwater,Pinellas County,Florida,0 +Clearwater,Sedgwick County,Kansas,0 +Clearwater,Wright County,Minnesota,0 +Clearwater,Antelope County,Nebraska,0 +Clearwater,Aiken County,South Carolina,0 +Clearwater Beach,Pinellas County,Florida,0 +Cleaton,Muhlenberg County,Kentucky,0 +Cleburne,Johnson County,Texas,0 +Cleghorn,Cherokee County,Iowa,0 +Clementon,Camden County,New Jersey,0 +Clements,San Joaquin County,California,0 +Clements,St. Mary's County,Maryland,0 +Clements,Redwood County,Minnesota,0 +Clemmons,Forsyth County,North Carolina,0 +Clemons,Marshall County,Iowa,0 +Clemons,Washington County,New York,0 +Clemson,Pickens County,South Carolina,0 +Clendenin,Kanawha County,West Virginia,0 +Cleo Springs,Major County,Oklahoma,0 +Clermont,Lake County,Florida,0 +Clermont,Hall County,Georgia,0 +Clermont,Fayette County,Iowa,0 +Clermont,Bullitt County,Kentucky,0 +Cleveland,Blount County,Alabama,0 +Cleveland,Conway County,Arkansas,0 +Cleveland,White County,Georgia,0 +Cleveland,Le Sueur County,Minnesota,0 +Cleveland,Bolivar County,Mississippi,0 +Cleveland,Cass County,Missouri,0 +Cleveland,Mora County,New Mexico,0 +Cleveland,Oswego County,New York,0 +Cleveland,Rowan County,North Carolina,0 +Cleveland,Stutsman County,North Dakota,0 +Cleveland,Cuyahoga County,Ohio,0 +Cleveland,Pawnee County,Oklahoma,0 +Cleveland,Greenville County,South Carolina,0 +Cleveland,Bradley County,Tennessee,0 +Cleveland,Liberty County,Texas,0 +Cleveland,San Jacinto County,Texas,0 +Cleveland,Emery County,Utah,0 +Cleveland,Russell County,Virginia,0 +Cleveland,Webster County,West Virginia,0 +Cleveland,Manitowoc County,Wisconsin,0 +Clever,Christian County,Missouri,0 +Cleverdale,Warren County,New York,0 +Cleves,Hamilton County,Ohio,0 +Clewiston,Hendry County,Florida,0 +Cliff,Grant County,New Mexico,0 +Cliff Island,Cumberland County,Maine,0 +Clifford,Bartholomew County,Indiana,0 +Clifford,Lapeer County,Michigan,0 +Clifford,Traill County,North Dakota,0 +Clifford,Susquehanna County,Pennsylvania,0 +Clifford,Amherst County,Virginia,0 +Cliffside,Rutherford County,North Carolina,0 +Cliffside Park,Bergen County,New Jersey,0 +Cliffwood,Monmouth County,New Jersey,0 +Clifton,Greenlee County,Arizona,0 +Clifton,Mesa County,Colorado,0 +Clifton,Franklin County,Idaho,0 +Clifton,Iroquois County,Illinois,0 +Clifton,Washington County,Kansas,0 +Clifton,Passaic County,New Jersey,0 +Clifton,Greene County,Ohio,0 +Clifton,Spartanburg County,South Carolina,0 +Clifton,Wayne County,Tennessee,0 +Clifton,Bosque County,Texas,0 +Clifton,Fairfax County,Virginia,0 +Clifton Forge,Alleghany County,Virginia,0 +Clifton Heights,Delaware County,Pennsylvania,0 +Clifton Hill,Randolph County,Missouri,0 +Clifton Park,Saratoga County,New York,0 +Clifton Springs,Ontario County,New York,0 +Clifty,Todd County,Kentucky,0 +Climax,Lake County,Colorado,0 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County,Ohio,0 +Clyde,Callahan County,Texas,0 +Clyde Park,Park County,Montana,0 +Clyman,Dodge County,Wisconsin,0 +Clymer,Chautauqua County,New York,0 +Clymer,Indiana County,Pennsylvania,0 +Clyo,Effingham County,Georgia,0 +Coachella,Riverside County,California,0 +Coahoma,Coahoma County,Mississippi,0 +Coahoma,Howard County,Texas,0 +Coal Center,Washington County,Pennsylvania,0 +Coal City,Grundy County,Illinois,0 +Coal City,Owen County,Indiana,0 +Coal City,Raleigh County,West Virginia,0 +Coal Creek,Fremont County,Colorado,0 +Coal Hill,Johnson County,Arkansas,0 +Coal Mountain,Wyoming County,West Virginia,0 +Coal Run,Washington County,Ohio,0 +Coal Township,Northumberland County,Pennsylvania,0 +Coal Valley,Rock Island County,Illinois,0 +Coaldale,Fremont County,Colorado,0 +Coaldale,Schuylkill County,Pennsylvania,0 +Coalfield,Morgan County,Tennessee,0 +Coalgate,Coal County,Oklahoma,0 +Coalgood,Harlan County,Kentucky,0 +Coaling,Tuscaloosa County,Alabama,0 +Coalinga,Fresno County,California,0 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County,New York,0 +Cochise,Cochise County,Arizona,0 +Cochiti Lake,Sandoval County,New Mexico,0 +Cochiti Pueblo,Sandoval County,New Mexico,0 +Cochran,Bleckley County,Georgia,0 +Cochrane,Buffalo County,Wisconsin,0 +Cochranton,Crawford County,Pennsylvania,0 +Cochranville,Chester County,Pennsylvania,0 +Cockeysville,Baltimore County,Maryland,0 +Cocoa,Brevard County,Florida,0 +Cocoa Beach,Brevard County,Florida,0 +Cocolalla,Bonner County,Idaho,0 +Cocolamus,Juniata County,Pennsylvania,0 +Coconut Creek,Broward County,Florida,0 +Coden,Mobile County,Alabama,0 +Codorus,York County,Pennsylvania,0 +Cody,Cherry County,Nebraska,0 +Cody,Park County,Wyoming,0 +Coeburn,Wise County,Virginia,0 +Coello,Franklin County,Illinois,0 +Coeur D Alene,Kootenai County,Idaho,0 +Coeymans,Albany County,New York,0 +Coeymans Hollow,Albany County,New York,0 +Coffee Creek,Fergus County,Montana,0 +Coffee Springs,Geneva County,Alabama,0 +Coffeen,Montgomery County,Illinois,0 +Coffeeville,Clarke County,Alabama,0 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County,Idaho,0 +Colby,Thomas County,Kansas,0 +Colby,Clark County,Wisconsin,0 +Colchester,New London County,Connecticut,0 +Colchester,McDonough County,Illinois,0 +Colchester,Chittenden County,Vermont,0 +Colcord,Delaware County,Oklahoma,0 +Colcord,Raleigh County,West Virginia,0 +Cold Bay,Aleutians East Borough,Alaska,0 +Cold Brook,Herkimer County,New York,0 +Cold Spring,Stearns County,Minnesota,0 +Cold Spring,Putnam County,New York,0 +Cold Spring Harbor,Suffolk County,New York,0 +Colden,Erie County,New York,0 +Coldiron,Harlan County,Kentucky,0 +Coldspring,San Jacinto County,Texas,0 +Coldwater,Comanche County,Kansas,0 +Coldwater,Branch County,Michigan,0 +Coldwater,Tate County,Mississippi,0 +Coldwater,Mercer County,Ohio,0 +Cole Camp,Benton County,Missouri,0 +Colebrook,Litchfield County,Connecticut,0 +Colebrook,Coos County,New Hampshire,0 +Coleharbor,McLean County,North Dakota,0 +Coleman,Sumter County,Florida,0 +Coleman,Randolph County,Georgia,0 +Coleman,Midland County,Michigan,0 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County,Washington,0 +College Point,Queens County,New York,0 +College Springs,Page County,Iowa,0 +College Station,Pulaski County,Arkansas,0 +College Station,Brazos County,Texas,0 +Collegedale,Hamilton County,Tennessee,0 +Collegeport,Matagorda County,Texas,0 +Collegeville,Stearns County,Minnesota,0 +Collegeville,Montgomery County,Pennsylvania,0 +Collettsville,Caldwell County,North Carolina,0 +Colleyville,Tarrant County,Texas,0 +Colliers,Brooke County,West Virginia,0 +Colliersville,Otsego County,New York,0 +Collierville,Shelby County,Tennessee,0 +Collingswood,Camden County,New Jersey,0 +Collins,Tattnall County,Georgia,0 +Collins,Story County,Iowa,0 +Collins,Covington County,Mississippi,0 +Collins,St. Clair County,Missouri,0 +Collins,Erie County,New York,0 +Collins,Huron County,Ohio,0 +Collins,Manitowoc County,Wisconsin,0 +Collins Center,Erie County,New York,0 +Collinston,Morehouse Parish,Louisiana,0 +Collinston,Box Elder County,Utah,0 +Collinsville,DeKalb County,Alabama,0 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County,Pennsylvania,0 +Concord,Leon County,Texas,0 +Concord,Essex County,Vermont,0 +Concord,Campbell County,Virginia,0 +Concordia,Cloud County,Kansas,0 +Concordia,Lafayette County,Missouri,0 +Concordville,Delaware County,Pennsylvania,0 +Concrete,Skagit County,Washington,0 +Conda,Caribou County,Idaho,0 +Conde,Spink County,South Dakota,0 +Condon,Missoula County,Montana,0 +Condon,Gilliam County,Oregon,0 +Conehatta,Newton County,Mississippi,0 +Conejos,Conejos County,Colorado,0 +Conestee,Greenville County,South Carolina,0 +Conestoga,Lancaster County,Pennsylvania,0 +Conesus,Livingston County,New York,0 +Conesville,Muscatine County,Iowa,0 +Conesville,Coshocton County,Ohio,0 +Conetoe,Edgecombe County,North Carolina,0 +Conewango Valley,Cattaraugus County,New York,0 +Confluence,Somerset County,Pennsylvania,0 +Conger,Freeborn County,Minnesota,0 +Congers,Rockland County,New York,0 +Congerville,Woodford County,Illinois,0 +Congress,Yavapai County,Arizona,0 +Conifer,Jefferson County,Colorado,0 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County,New York,0 +Constantine,St. Joseph County,Michigan,0 +Continental,Putnam County,Ohio,0 +Continental Divide,McKinley County,New Mexico,0 +Contoocook,Merrimack County,New Hampshire,0 +Convent,St. James Parish,Louisiana,0 +Convent Station,Morris County,New Jersey,0 +Converse,Miami County,Indiana,0 +Converse,Sabine Parish,Louisiana,0 +Converse,Spartanburg County,South Carolina,0 +Converse,Bexar County,Texas,0 +Convoy,Van Wert County,Ohio,0 +Conway,Faulkner County,Arkansas,0 +Conway,Franklin County,Massachusetts,0 +Conway,Emmet County,Michigan,0 +Conway,Laclede County,Missouri,0 +Conway,Carroll County,New Hampshire,0 +Conway,Northampton County,North Carolina,0 +Conway,Beaver County,Pennsylvania,0 +Conway,Horry County,South Carolina,0 +Conway,Skagit County,Washington,0 +Conway Springs,Sumner County,Kansas,0 +Conyers,Rockdale County,Georgia,0 +Conyngham,Luzerne County,Pennsylvania,0 +Cook,St. Louis County,Minnesota,0 +Cook,Johnson County,Nebraska,0 +Cook Springs,St. Clair County,Alabama,0 +Cook Sta,Crawford County,Missouri,0 +Cooke City,Park County,Montana,0 +Cookeville,Putnam County,Tennessee,0 +Cooks,Schoolcraft County,Michigan,0 +Cooksburg,Forest County,Pennsylvania,0 +Cookson,Cherokee County,Oklahoma,0 +Cookstown,Burlington County,New Jersey,0 +Cooksville,McLean County,Illinois,0 +Cooksville,Howard County,Maryland,0 +Cookville,Titus County,Texas,0 +Cool,El Dorado County,California,0 +Cool Ridge,Raleigh County,West Virginia,0 +Cooleemee,Davie County,North Carolina,0 +Coolidge,Pinal County,Arizona,0 +Coolidge,Thomas County,Georgia,0 +Coolidge,Hamilton County,Kansas,0 +Coolidge,Limestone County,Texas,0 +Coolin,Bonner County,Idaho,0 +Coolspring,Jefferson County,Pennsylvania,0 +Coolville,Athens County,Ohio,0 +Coon Rapids,Carroll County,Iowa,0 +Coon Valley,Vernon County,Wisconsin,0 +Cooper,Greene County,Iowa,0 +Cooper,Delta County,Texas,0 +Cooper Landing,Kenai Peninsula Borough,Alaska,0 +Coopers Mills,Lincoln County,Maine,0 +Coopers Plains,Steuben County,New York,0 +Coopersburg,Lehigh County,Pennsylvania,0 +Cooperstown,Otsego County,New York,0 +Cooperstown,Griggs County,North Dakota,0 +Cooperstown,Venango County,Pennsylvania,0 +Coopersville,Ottawa County,Michigan,0 +Coos Bay,Coos County,Oregon,0 +Coosa,Floyd County,Georgia,0 +Coosada,Elmore County,Alabama,0 +Coosawhatchie,Jasper County,South Carolina,0 +Cooter,Pemiscot County,Missouri,0 +Copake,Columbia County,New York,0 +Copake Falls,Columbia County,New York,0 +Copalis Beach,Grays Harbor County,Washington,0 +Copalis Crossing,Grays Harbor County,Washington,0 +Copan,Washington County,Oklahoma,0 +Cope,Washington County,Colorado,0 +Cope,Orangeburg County,South Carolina,0 +Copeland,Collier County,Florida,0 +Copeland,Gray County,Kansas,0 +Copemish,Manistee County,Michigan,0 +Copen,Braxton County,West Virginia,0 +Copenhagen,Lewis County,New York,0 +Copeville,Collin County,Texas,0 +Copiague,Suffolk County,New York,0 +Coplay,Lehigh County,Pennsylvania,0 +Coppell,Dallas County,Texas,0 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County,Oklahoma,0 +Corder,Lafayette County,Missouri,0 +Cordesville,Berkeley County,South Carolina,0 +Cordova,Walker County,Alabama,0 +Cordova,Valdez-Cordova Census Area,Alaska,0 +Cordova,Rock Island County,Illinois,0 +Cordova,Talbot County,Maryland,0 +Cordova,Seward County,Nebraska,0 +Cordova,Rio Arriba County,New Mexico,0 +Cordova,Richmond County,North Carolina,0 +Cordova,Orangeburg County,South Carolina,0 +Cordova,Shelby County,Tennessee,0 +Corea,Hancock County,Maine,0 +Corfu,Genesee County,New York,0 +Corinna,Penobscot County,Maine,0 +Corinne,Box Elder County,Utah,0 +Corinne,Wyoming County,West Virginia,0 +Corinth,Grant County,Kentucky,0 +Corinth,Penobscot County,Maine,0 +Corinth,Alcorn County,Mississippi,0 +Corinth,Saratoga County,New York,0 +Corinth,Orange County,Vermont,0 +Corn,Washita County,Oklahoma,0 +Cornelia,Habersham County,Georgia,0 +Cornelius,Mecklenburg County,North Carolina,0 +Cornelius,Washington County,Oregon,0 +Cornell,Livingston County,Illinois,0 +Cornell,Delta County,Michigan,0 +Cornell,Chippewa County,Wisconsin,0 +Cornersville,Marshall County,Tennessee,0 +Cornettsville,Perry County,Kentucky,0 +Corning,Clay County,Arkansas,0 +Corning,Tehama County,California,0 +Corning,Adams County,Iowa,0 +Corning,Nemaha County,Kansas,0 +Corning,Steuben County,New York,0 +Corning,Perry County,Ohio,0 +Cornish,York County,Maine,0 +Cornish,Sullivan County,New Hampshire,0 +Cornish,Cache County,Utah,0 +Cornish Flat,Sullivan County,New Hampshire,0 +Cornland,Logan County,Illinois,0 +Cornucopia,Bayfield County,Wisconsin,0 +Cornville,Yavapai County,Arizona,0 +Cornwall,Litchfield County,Connecticut,0 +Cornwall,Orange County,New York,0 +Cornwall,Lebanon County,Pennsylvania,0 +Cornwall Bridge,Litchfield County,Connecticut,0 +Cornwall On Hudson,Orange County,New York,0 +Cornwallville,Greene County,New York,0 +Corolla,Currituck County,North Carolina,0 +Corona,Riverside County,California,0 +Corona,Lincoln County,New Mexico,0 +Corona,Queens County,New York,0 +Corona,Roberts County,South Dakota,0 +Corona Del Mar,Orange County,California,0 +Coronado,San Diego County,California,0 +Corozal,Corozal Municipio,Puerto Rico,0 +Corpus Christi,Nueces County,Texas,0 +Corral,Camas County,Idaho,0 +Corrales,Sandoval County,New Mexico,0 +Correctionville,Woodbury County,Iowa,0 +Correll,Big Stone County,Minnesota,0 +Corrigan,Polk County,Texas,0 +Corriganville,Allegany County,Maryland,0 +Corry,Erie County,Pennsylvania,0 +Corryton,Knox County,Tennessee,0 +Corsica,Jefferson County,Pennsylvania,0 +Corsica,Douglas County,South Dakota,0 +Corsicana,Navarro County,Texas,0 +Cortaro,Pima County,Arizona,0 +Corte Madera,Marin County,California,0 +Cortez,Montezuma County,Colorado,0 +Cortez,Manatee County,Florida,0 +Cortland,DeKalb County,Illinois,0 +Cortland,Jackson County,Indiana,0 +Cortland,Gage County,Nebraska,0 +Cortland,Cortland County,New York,0 +Cortland,Trumbull County,Ohio,0 +Cortlandt Manor,Westchester County,New York,0 +Corunna,DeKalb County,Indiana,0 +Corunna,Shiawassee County,Michigan,0 +Corvallis,Ravalli County,Montana,0 +Corvallis,Benton County,Oregon,0 +Corwith,Hancock County,Iowa,0 +Cory,Delta County,Colorado,0 +Cory,Clay County,Indiana,0 +Corydon,Harrison County,Indiana,0 +Corydon,Wayne County,Iowa,0 +Corydon,Henderson County,Kentucky,0 +Cos Cob,Fairfield County,Connecticut,0 +Cosby,Andrew County,Missouri,0 +Cosby,Cocke County,Tennessee,0 +Coshocton,Coshocton County,Ohio,0 +Cosmopolis,Grays Harbor County,Washington,0 +Cosmos,Meeker County,Minnesota,0 +Cossayuna,Washington County,New York,0 +Cost,Gonzales County,Texas,0 +Costa,Boone County,West Virginia,0 +Costa Mesa,Orange County,California,0 +Costilla,Taos County,New Mexico,0 +Cotati,Sonoma County,California,0 +Coto Laurel,Ponce Municipio,Puerto Rico,0 +Cotopaxi,Fremont County,Colorado,0 +Cottage Grove,Washington County,Minnesota,0 +Cottage Grove,Lane County,Oregon,0 +Cottage Grove,Henry County,Tennessee,0 +Cottage Grove,Dane County,Wisconsin,0 +Cottage Hills,Madison County,Illinois,0 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County,Virginia,0 +Coushatta,Red River Parish,Louisiana,0 +Cove,Polk County,Arkansas,0 +Cove,Union County,Oregon,0 +Cove City,Craven County,North Carolina,0 +Covel,Wyoming County,West Virginia,0 +Covelo,Mendocino County,California,0 +Coventry,Tolland County,Connecticut,0 +Coventry,Kent County,Rhode Island,0 +Coventry,Orleans County,Vermont,0 +Covert,Van Buren County,Michigan,0 +Covesville,Albemarle County,Virginia,0 +Covina,Los Angeles County,California,0 +Covington,Newton County,Georgia,0 +Covington,Fountain County,Indiana,0 +Covington,Kenton County,Kentucky,0 +Covington,St. Tammany Parish,Louisiana,0 +Covington,Baraga County,Michigan,0 +Covington,Miami County,Ohio,0 +Covington,Garfield County,Oklahoma,0 +Covington,Tioga County,Pennsylvania,0 +Covington,Tipton County,Tennessee,0 +Covington,Hill County,Texas,0 +Covington,Alleghany County,Virginia,0 +Cowan,Franklin County,Tennessee,0 +Cowanesque,Tioga County,Pennsylvania,0 +Cowansville,Armstrong County,Pennsylvania,0 +Coward,Florence County,South Carolina,0 +Cowarts,Houston County,Alabama,0 +Cowden,Shelby County,Illinois,0 +Cowdrey,Jackson County,Colorado,0 +Cowen,Webster County,West Virginia,0 +Coweta,Wagoner County,Oklahoma,0 +Cowgill,Caldwell County,Missouri,0 +Cowiche,Yakima County,Washington,0 +Cowlesville,Wyoming County,New York,0 +Cowley,Big Horn County,Wyoming,0 +Cowpens,Spartanburg County,South Carolina,0 +Coxs Creek,Nelson County,Kentucky,0 +Coxs Mills,Gilmer County,West Virginia,0 +Coxsackie,Greene County,New York,0 +Coy,Wilcox County,Alabama,0 +Coy,Lonoke County,Arkansas,0 +Coyanosa,Pecos County,Texas,0 +Coyle,Payne County,Oklahoma,0 +Coyote,Santa Clara County,California,0 +Coyote,Rio Arriba County,New Mexico,0 +Coyote Springs,Clark County,Nevada,0 +Coyote Springs,Lincoln County,Nevada,0 +Cozad,Dawson County,Nebraska,0 +Crab Orchard,Lincoln County,Kentucky,0 +Crab Orchard,Johnson County,Nebraska,0 +Crab Orchard,Cumberland County,Tennessee,0 +Crab Orchard,Raleigh County,West Virginia,0 +Crabtree,Linn County,Oregon,0 +Crabtree,Westmoreland County,Pennsylvania,0 +Craddockville,Accomack County,Virginia,0 +Craftsbury,Orleans County,Vermont,0 +Craftsbury Common,Orleans County,Vermont,0 +Cragford,Clay County,Alabama,0 +Cragsmoor,Ulster County,New York,0 +Craig,Prince of Wales-Hyder Census Area,Alaska,0 +Craig,Moffat County,Colorado,0 +Craig,Holt County,Missouri,0 +Craig,Burt County,Nebraska,0 +Craigmont,Lewis County,Idaho,0 +Craigsville,Augusta County,Virginia,0 +Craigsville,Nicholas County,West Virginia,0 +Craigville,Wells County,Indiana,0 +Craley,York County,Pennsylvania,0 +Cramerton,Gaston County,North Carolina,0 +Cranberry,Venango County,Pennsylvania,0 +Cranberry Isles,Hancock County,Maine,0 +Cranberry Lake,St. Lawrence County,New York,0 +Cranberry Twp,Butler County,Pennsylvania,0 +Cranbury,Mercer County,New Jersey,0 +Crandall,Murray County,Georgia,0 +Crandall,Harrison County,Indiana,0 +Crandall,Kaufman County,Texas,0 +Crandon,Forest County,Wisconsin,0 +Crane,Martin County,Indiana,0 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County,Illinois,0 +Crescent Lake,Klamath County,Oregon,0 +Crescent Mills,Plumas County,California,0 +Crescent Valley,Eureka County,Nevada,0 +Cresco,Howard County,Iowa,0 +Cresco,Monroe County,Pennsylvania,0 +Cressey,Merced County,California,0 +Cresskill,Bergen County,New Jersey,0 +Cresson,Cambria County,Pennsylvania,0 +Cresson,Parker County,Texas,0 +Cressona,Schuylkill County,Pennsylvania,0 +Crest Hill,Will County,Illinois,0 +Crest Park,San Bernardino County,California,0 +Crested Butte,Gunnison County,Colorado,0 +Crestline,San Bernardino County,California,0 +Crestline,Cherokee County,Kansas,0 +Crestline,Crawford County,Ohio,0 +Creston,San Luis Obispo County,California,0 +Creston,Ogle County,Illinois,0 +Creston,Union County,Iowa,0 +Creston,Platte County,Nebraska,0 +Creston,Ashe County,North Carolina,0 +Creston,Wayne County,Ohio,0 +Creston,Lincoln County,Washington,0 +Creston,Calhoun County,West Virginia,0 +Crestone,Saguache County,Colorado,0 +Crestview,Okaloosa County,Florida,0 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Anchor,Spartanburg County,South Carolina,0 +Cross City,Dixie County,Florida,0 +Cross Fork,Clinton County,Pennsylvania,0 +Cross Hill,Laurens County,South Carolina,0 +Cross Junction,Frederick County,Virginia,0 +Cross Plains,Ripley County,Indiana,0 +Cross Plains,Robertson County,Tennessee,0 +Cross Plains,Callahan County,Texas,0 +Cross Plains,Dane County,Wisconsin,0 +Cross River,Westchester County,New York,0 +Cross Timbers,Hickory County,Missouri,0 +Cross Village,Emmet County,Michigan,0 +Crossett,Ashley County,Arkansas,0 +Crosslake,Crow Wing County,Minnesota,0 +Crossnore,Avery County,North Carolina,0 +Crossroads,Lea County,New Mexico,0 +Crossville,DeKalb County,Alabama,0 +Crossville,White County,Illinois,0 +Crossville,Cumberland County,Tennessee,0 +Croswell,Sanilac County,Michigan,0 +Crothersville,Jackson County,Indiana,0 +Croton,Licking County,Ohio,0 +Croton Falls,Westchester County,New York,0 +Croton On Hudson,Westchester County,New York,0 +Crouse,Lincoln County,North Carolina,0 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County,Ohio,0 +Cuba City,Grant County,Wisconsin,0 +Cubero,Cibola County,New Mexico,0 +Cucumber,McDowell County,West Virginia,0 +Cudahy,Milwaukee County,Wisconsin,0 +Cuddebackville,Orange County,New York,0 +Cuddy,Allegheny County,Pennsylvania,0 +Cuero,DeWitt County,Texas,0 +Cuervo,Guadalupe County,New Mexico,0 +Culberson,Cherokee County,North Carolina,0 +Culbertson,Roosevelt County,Montana,0 +Culbertson,Hitchcock County,Nebraska,0 +Culdesac,Nez Perce County,Idaho,0 +Culebra,Culebra Municipio,Puerto Rico,0 +Cullen,Webster Parish,Louisiana,0 +Cullen,Charlotte County,Virginia,0 +Culleoka,Maury County,Tennessee,0 +Cullman,Cullman County,Alabama,0 +Culloden,Monroe County,Georgia,0 +Culloden,Cabell County,West Virginia,0 +Cullom,Livingston County,Illinois,0 +Cullowhee,Jackson County,North Carolina,0 +Culp Creek,Lane County,Oregon,0 +Culpeper,Culpeper County,Virginia,0 +Culver,Marshall County,Indiana,0 +Culver,Jefferson County,Oregon,0 +Culver City,Los Angeles County,California,0 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County,Ohio,0 +Cyclone,McKean County,Pennsylvania,0 +Cyclone,Wyoming County,West Virginia,0 +Cygnet,Wood County,Ohio,0 +Cylinder,Palo Alto County,Iowa,0 +Cynthiana,Posey County,Indiana,0 +Cynthiana,Harrison County,Kentucky,0 +Cynthiana,Pike County,Ohio,0 +Cypress,Orange County,California,0 +Cypress,Jackson County,Florida,0 +Cypress,Johnson County,Illinois,0 +Cypress,Harris County,Texas,0 +Cypress Inn,Wayne County,Tennessee,0 +Cyril,Caddo County,Oklahoma,0 +Cyrus,Pope County,Minnesota,0 +D Hanis,Medina County,Texas,0 +D Lo,Simpson County,Mississippi,0 +Dacoma,Woods County,Oklahoma,0 +Dacono,Weld County,Colorado,0 +Dacula,Gwinnett County,Georgia,0 +Dade City,Pasco County,Florida,0 +Dadeville,Tallapoosa County,Alabama,0 +Dadeville,Dade County,Missouri,0 +Dafter,Chippewa County,Michigan,0 +Daggett,San Bernardino County,California,0 +Daggett,Menominee County,Michigan,0 +Dagmar,Sheridan County,Montana,0 +Dagsboro,Sussex County,Delaware,0 +Dagus Mines,Elk County,Pennsylvania,0 +Dahinda,Knox County,Illinois,0 +Dahlen,Nelson County,North Dakota,0 +Dahlgren,Hamilton County,Illinois,0 +Dahlgren,King George County,Virginia,0 +Dahlonega,Lumpkin County,Georgia,0 +Dailey,Randolph County,West Virginia,0 +Daingerfield,Morris County,Texas,0 +Dairy,Klamath County,Oregon,0 +Daisetta,Liberty County,Texas,0 +Daisy,Evans County,Georgia,0 +Daisy,Cape Girardeau County,Missouri,0 +Daisy,Atoka County,Oklahoma,0 +Daisytown,Washington County,Pennsylvania,0 +Dakota,Stephenson County,Illinois,0 +Dakota,Winona County,Minnesota,0 +Dakota City,Humboldt County,Iowa,0 +Dakota City,Dakota County,Nebraska,0 +Dalbo,Isanti County,Minnesota,0 +Dale,Hamilton County,Illinois,0 +Dale,Spencer County,Indiana,0 +Dale,Wyoming County,New York,0 +Dale,Beaufort County,South Carolina,0 +Dale,Caldwell County,Texas,0 +Dale,Outagamie County,Wisconsin,0 +Daleville,Dale County,Alabama,0 +Daleville,Delaware County,Indiana,0 +Daleville,Lauderdale County,Mississippi,0 +Daleville,Botetourt County,Virginia,0 +Dalhart,Dallam 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County,Texas,0 +Danbury,Burnett County,Wisconsin,0 +Danby,Rutland County,Vermont,0 +Danciger,Brazoria County,Texas,0 +Dandridge,Jefferson County,Tennessee,0 +Dane,Dane County,Wisconsin,0 +Danese,Fayette County,West Virginia,0 +Danevang,Wharton County,Texas,0 +Danforth,Iroquois County,Illinois,0 +Danforth,Washington County,Maine,0 +Dania,Broward County,Florida,0 +Daniel,Sublette County,Wyoming,0 +Daniels,Raleigh County,West Virginia,0 +Danielson,Windham County,Connecticut,0 +Danielsville,Madison County,Georgia,0 +Danielsville,Northampton County,Pennsylvania,0 +Dannebrog,Howard County,Nebraska,0 +Dannemora,Clinton County,New York,0 +Dansville,Ingham County,Michigan,0 +Dansville,Livingston County,New York,0 +Dante,Charles Mix County,South Dakota,0 +Dante,Dickenson County,Virginia,0 +Danube,Renville County,Minnesota,0 +Danvers,McLean County,Illinois,0 +Danvers,Essex County,Massachusetts,0 +Danvers,Swift County,Minnesota,0 +Danville,Morgan County,Alabama,0 +Danville,Yell County,Arkansas,0 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County,Mississippi,0 +Darlington,Montgomery County,Indiana,0 +Darlington,Harford County,Maryland,0 +Darlington,Gentry County,Missouri,0 +Darlington,Beaver County,Pennsylvania,0 +Darlington,Darlington County,South Carolina,0 +Darlington,Lafayette County,Wisconsin,0 +Darragh,Westmoreland County,Pennsylvania,0 +Darrington,Snohomish County,Washington,0 +Darrouzett,Lipscomb County,Texas,0 +Darrow,Ascension Parish,Louisiana,0 +Dartmouth,Bristol County,Massachusetts,0 +Darwin,Inyo County,California,0 +Darwin,Meeker County,Minnesota,0 +Dassel,Meeker County,Minnesota,0 +Dateland,Yuma County,Arizona,0 +Datil,Catron County,New Mexico,0 +Datto,Clay County,Arkansas,0 +Daufuskie Island,Beaufort County,South Carolina,0 +Dauphin,Dauphin County,Pennsylvania,0 +Dauphin Island,Mobile County,Alabama,0 +Davenport,Santa Cruz County,California,0 +Davenport,Polk County,Florida,0 +Davenport,Scott County,Iowa,0 +Davenport,Thayer County,Nebraska,0 +Davenport,Delaware County,New York,0 +Davenport,Cass 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Park,Washington County,Alabama,0 +Deer Park,Napa County,California,0 +Deer Park,Suffolk County,New York,0 +Deer Park,Harris County,Texas,0 +Deer Park,Spokane County,Washington,0 +Deer Park,St. Croix County,Wisconsin,0 +Deer River,Itasca County,Minnesota,0 +Deer River,Lewis County,New York,0 +Deer Trail,Arapahoe County,Colorado,0 +Deerbrook,Langlade County,Wisconsin,0 +Deerfield,Lake County,Illinois,0 +Deerfield,Kearny County,Kansas,0 +Deerfield,Franklin County,Massachusetts,0 +Deerfield,Lenawee County,Michigan,0 +Deerfield,Vernon County,Missouri,0 +Deerfield,Rockingham County,New Hampshire,0 +Deerfield,Portage County,Ohio,0 +Deerfield,Augusta County,Virginia,0 +Deerfield,Dane County,Wisconsin,0 +Deerfield Beach,Broward County,Florida,0 +Deerfield Street,Cumberland County,New Jersey,0 +Deering,Northwest Arctic Borough,Alaska,0 +Deering,Pemiscot County,Missouri,0 +Deering,McHenry County,North Dakota,0 +Deersville,Harrison County,Ohio,0 +Deerton,Alger County,Michigan,0 +Deerwood,Crow Wing 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County,Illinois,0 +Dorton,Pike County,Kentucky,0 +Dos Palos,Merced County,California,0 +Dos Rios,Mendocino County,California,0 +Doss,Gillespie County,Texas,0 +Doswell,Hanover County,Virginia,0 +Dothan,Houston County,Alabama,0 +Dothan,Fayette County,West Virginia,0 +Doty,Lewis County,Washington,0 +Double Springs,Winston County,Alabama,0 +Doucette,Tyler County,Texas,0 +Douds,Van Buren County,Iowa,0 +Dougherty,Cerro Gordo County,Iowa,0 +Dougherty,Murray County,Oklahoma,0 +Dougherty,Floyd County,Texas,0 +Douglas,Marshall County,Alabama,0 +Douglas,Juneau City and Borough,Alaska,0 +Douglas,Cochise County,Arizona,0 +Douglas,Coffee County,Georgia,0 +Douglas,Worcester County,Massachusetts,0 +Douglas,Allegan County,Michigan,0 +Douglas,Otoe County,Nebraska,0 +Douglas,Ward County,North Dakota,0 +Douglas,Garfield County,Oklahoma,0 +Douglas,Converse County,Wyoming,0 +Douglas City,Trinity County,California,0 +Douglas Flat,Calaveras County,California,0 +Douglass,Butler County,Kansas,0 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County,Illinois,0 +Dow City,Crawford County,Iowa,0 +Dowagiac,Cass County,Michigan,0 +Dowell,Jackson County,Illinois,0 +Dowell,Calvert County,Maryland,0 +Dowelltown,DeKalb County,Tennessee,0 +Dowling,Barry County,Michigan,0 +Downers Grove,DuPage County,Illinois,0 +Downey,Los Angeles County,California,0 +Downey,Bannock County,Idaho,0 +Downieville,Sierra County,California,0 +Downing,Schuyler County,Missouri,0 +Downing,Dunn County,Wisconsin,0 +Downingtown,Chester County,Pennsylvania,0 +Downs,McLean County,Illinois,0 +Downs,Osborne County,Kansas,0 +Downsville,Union Parish,Louisiana,0 +Downsville,Delaware County,New York,0 +Downsville,Dunn County,Wisconsin,0 +Dows,Wright County,Iowa,0 +Doyle,Lassen County,California,0 +Doyle,White County,Tennessee,0 +Doylesburg,Franklin County,Pennsylvania,0 +Doylestown,Wayne County,Ohio,0 +Doylestown,Bucks County,Pennsylvania,0 +Doylestown,Columbia County,Wisconsin,0 +Doyline,Webster Parish,Louisiana,0 +Dozier,Covington County,Alabama,0 +Dracut,Middlesex County,Massachusetts,0 +Dragoon,Cochise County,Arizona,0 +Drain,Douglas County,Oregon,0 +Drake,Larimer County,Colorado,0 +Drake,Warren County,Kentucky,0 +Drake,McHenry County,North Dakota,0 +Drakes Branch,Charlotte County,Virginia,0 +Drakesboro,Muhlenberg County,Kentucky,0 +Drakesville,Davis County,Iowa,0 +Draper,Jones County,South Dakota,0 +Draper,Salt Lake County,Utah,0 +Draper,Pulaski County,Virginia,0 +Drasco,Cleburne County,Arkansas,0 +Dravosburg,Allegheny County,Pennsylvania,0 +Drayden,St. Mary's County,Maryland,0 +Drayton,Pembina County,North Dakota,0 +Drayton,Spartanburg County,South Carolina,0 +Drayton Plains,Oakland County,Michigan,0 +Drennen,Nicholas County,West Virginia,0 +Dresden,Decatur County,Kansas,0 +Dresden,Lincoln County,Maine,0 +Dresden,Yates County,New York,0 +Dresden,Muskingum County,Ohio,0 +Dresden,Weakley County,Tennessee,0 +Dresher,Montgomery County,Pennsylvania,0 +Dresser,Polk County,Wisconsin,0 +Drew,Sunflower County,Mississippi,0 +Drewryville,Southampton County,Virginia,0 +Drewsey,Harney County,Oregon,0 +Drewsville,Cheshire County,New Hampshire,0 +Drexel,Cass County,Missouri,0 +Drexel,Burke County,North Carolina,0 +Drexel Hill,Delaware County,Pennsylvania,0 +Drift,Floyd County,Kentucky,0 +Drifting,Clearfield County,Pennsylvania,0 +Drifton,Luzerne County,Pennsylvania,0 +Driftwood,Cameron County,Pennsylvania,0 +Driftwood,Hays County,Texas,0 +Driggs,Teton County,Idaho,0 +Dripping Springs,Hays County,Texas,0 +Driscoll,Burleigh County,North Dakota,0 +Driscoll,Nueces County,Texas,0 +Driver,Mississippi County,Arkansas,0 +Drummond,Granite County,Montana,0 +Drummond,Garfield County,Oklahoma,0 +Drummond,Bayfield County,Wisconsin,0 +Drummond Island,Chippewa County,Michigan,0 +Drummonds,Tipton County,Tennessee,0 +Drumore,Lancaster County,Pennsylvania,0 +Drumright,Creek County,Oklahoma,0 +Drums,Luzerne County,Pennsylvania,0 +Drury,Berkshire County,Massachusetts,0 +Drury,Douglas County,Missouri,0 +Dry Branch,Twiggs County,Georgia,0 +Dry Creek,Allen Parish,Louisiana,0 +Dry Creek,Raleigh County,West Virginia,0 +Dry Fork,Pittsylvania County,Virginia,0 +Dry Prong,Grant Parish,Louisiana,0 +Dry Ridge,Grant County,Kentucky,0 +Dry Run,Franklin County,Pennsylvania,0 +Drybranch,Kanawha County,West Virginia,0 +Dryden,Franklin County,Maine,0 +Dryden,Lapeer County,Michigan,0 +Dryden,Tompkins County,New York,0 +Dryden,Terrell County,Texas,0 +Dryden,Lee County,Virginia,0 +Dryden,Chelan County,Washington,0 +Dryfork,Randolph County,West Virginia,0 +Drytown,Amador County,California,0 +Du Bois,Washington County,Illinois,0 +Du Bois,Pawnee County,Nebraska,0 +Du Bois,Clearfield County,Pennsylvania,0 +Du Pont,Clinch County,Georgia,0 +Du Quoin,Perry County,Illinois,0 +Duanesburg,Schenectady County,New York,0 +Duarte,Los Angeles County,California,0 +Dubach,Lincoln Parish,Louisiana,0 +Dubberly,Webster Parish,Louisiana,0 +Dublin,Alameda County,California,0 +Dublin,Laurens County,Georgia,0 +Dublin,Wayne County,Indiana,0 +Dublin,Coahoma County,Mississippi,0 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County,Wisconsin,0 +Dunbarton,Merrimack County,New Hampshire,0 +Dunbridge,Wood County,Ohio,0 +Duncan,Greenlee County,Arizona,0 +Duncan,Bolivar County,Mississippi,0 +Duncan,Platte County,Nebraska,0 +Duncan,Stephens County,Oklahoma,0 +Duncan,Spartanburg County,South Carolina,0 +Duncan Falls,Muskingum County,Ohio,0 +Duncannon,Perry County,Pennsylvania,0 +Duncans Mills,Sonoma County,California,0 +Duncansville,Blair County,Pennsylvania,0 +Duncanville,Tuscaloosa County,Alabama,0 +Duncanville,Dallas County,Texas,0 +Duncombe,Webster County,Iowa,0 +Dundalk,Baltimore County,Maryland,0 +Dundas,Richland County,Illinois,0 +Dundas,Rice County,Minnesota,0 +Dundas,Brunswick County,Virginia,0 +Dundee,Polk County,Florida,0 +Dundee,Kane County,Illinois,0 +Dundee,Delaware County,Iowa,0 +Dundee,Ohio County,Kentucky,0 +Dundee,Monroe County,Michigan,0 +Dundee,Tunica County,Mississippi,0 +Dundee,Yates County,New York,0 +Dundee,Holmes County,Ohio,0 +Dundee,Yamhill County,Oregon,0 +Dunedin,Pinellas County,Florida,0 +Dunellen,Middlesex County,New Jersey,0 +Dunfermline,Fulton County,Illinois,0 +Dungannon,Scott County,Virginia,0 +Dunkerton,Black Hawk County,Iowa,0 +Dunkirk,Jay County,Indiana,0 +Dunkirk,Calvert County,Maryland,0 +Dunkirk,Chautauqua County,New York,0 +Dunkirk,Hardin County,Ohio,0 +Dunlap,Fresno County,California,0 +Dunlap,Peoria County,Illinois,0 +Dunlap,Harrison County,Iowa,0 +Dunlap,Sequatchie County,Tennessee,0 +Dunlevy,Washington County,Pennsylvania,0 +Dunlo,Cambria County,Pennsylvania,0 +Dunlow,Wayne County,West Virginia,0 +Dunmor,Muhlenberg County,Kentucky,0 +Dunmore,Pocahontas County,West Virginia,0 +Dunn,Harnett County,North Carolina,0 +Dunn,Sampson County,North Carolina,0 +Dunn,Scurry County,Texas,0 +Dunn Center,Dunn County,North Dakota,0 +Dunn Loring,Fairfax County,Virginia,0 +Dunnegan,Polk County,Missouri,0 +Dunnell,Martin County,Minnesota,0 +Dunnellon,Citrus County,Florida,0 +Dunnellon,Marion County,Florida,0 +Dunnigan,Yolo County,California,0 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County,West Virginia,0 +Durham,Butte County,California,0 +Durham,Middlesex County,Connecticut,0 +Durham,Marion County,Kansas,0 +Durham,Androscoggin County,Maine,0 +Durham,Lewis County,Missouri,0 +Durham,Strafford County,New Hampshire,0 +Durham,Greene County,New York,0 +Durham,Durham County,North Carolina,0 +Durham,Roger Mills County,Oklahoma,0 +Durham,Bucks County,Pennsylvania,0 +Durhamville,Oneida County,New York,0 +Durkee,Baker County,Oregon,0 +Duryea,Luzerne County,Pennsylvania,0 +Dushore,Sullivan County,Pennsylvania,0 +Duson,Lafayette Parish,Louisiana,0 +Dustin,Hughes County,Oklahoma,0 +Dutch Flat,Placer County,California,0 +Dutch Harbor,Aleutians West Census Area,Alaska,0 +Dutch John,Daggett County,Utah,0 +Dutchtown,Cape Girardeau County,Missouri,0 +Dutton,Jackson County,Alabama,0 +Dutton,Teton County,Montana,0 +Dutton,Mathews County,Virginia,0 +Dutzow,Warren County,Missouri,0 +Duvall,King County,Washington,0 +Duxbury,Plymouth County,Massachusetts,0 +Dwale,Floyd County,Kentucky,0 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Bridge,Washington County,New York,0 +Eagle Butte,Dewey County,South Dakota,0 +Eagle Creek,Clackamas County,Oregon,0 +Eagle Grove,Wright County,Iowa,0 +Eagle Lake,Polk County,Florida,0 +Eagle Lake,Aroostook County,Maine,0 +Eagle Lake,Blue Earth County,Minnesota,0 +Eagle Lake,Colorado County,Texas,0 +Eagle Mountain,Utah County,Utah,0 +Eagle Nest,Colfax County,New Mexico,0 +Eagle Pass,Maverick County,Texas,0 +Eagle Point,Jackson County,Oregon,0 +Eagle River,Anchorage Municipality,Alaska,0 +Eagle River,Vilas County,Wisconsin,0 +Eagle Rock,Barry County,Missouri,0 +Eagle Rock,Botetourt County,Virginia,0 +Eagle Springs,Moore County,North Carolina,0 +Eagles Mere,Sullivan County,Pennsylvania,0 +Eagletown,McCurtain County,Oklahoma,0 +Eagleville,Modoc County,California,0 +Eagleville,Harrison County,Missouri,0 +Eagleville,Montgomery County,Pennsylvania,0 +Eagleville,Rutherford County,Tennessee,0 +Eakly,Caddo County,Oklahoma,0 +Earl,Cleveland County,North Carolina,0 +Earl Park,Benton County,Indiana,0 +Earle,Crittenden County,Arkansas,0 +Earleton,Alachua County,Florida,0 +Earleville,Cecil County,Maryland,0 +Earlham,Madison County,Iowa,0 +Earlimart,Tulare County,California,0 +Earling,Shelby County,Iowa,0 +Earlington,Hopkins County,Kentucky,0 +Earlington,Montgomery County,Pennsylvania,0 +Earlsboro,Pottawatomie County,Oklahoma,0 +Earlton,Greene County,New York,0 +Earlville,LaSalle County,Illinois,0 +Earlville,Delaware County,Iowa,0 +Earlville,Madison County,New York,0 +Earlville,Berks County,Pennsylvania,0 +Early,Sac County,Iowa,0 +Early,Brown County,Texas,0 +Early Branch,Hampton County,South Carolina,0 +Earlysville,Albemarle County,Virginia,0 +Earp,San Bernardino County,California,0 +Earth,Lamb County,Texas,0 +Earth City,St. Louis County,Missouri,0 +Easley,Pickens County,South Carolina,0 +East Alton,Madison County,Illinois,0 +East Amherst,Erie County,New York,0 +East Andover,Oxford County,Maine,0 +East Andover,Merrimack County,New Hampshire,0 +East Arlington,Bennington County,Vermont,0 +East Aurora,Erie County,New York,0 +East Baldwin,Cumberland County,Maine,0 +East Bank,Kanawha County,West Virginia,0 +East Barre,Orange County,Vermont,0 +East Bend,Yadkin County,North Carolina,0 +East Berkshire,Franklin County,Vermont,0 +East Berlin,Hartford County,Connecticut,0 +East Berlin,Adams County,Pennsylvania,0 +East Bernard,Wharton County,Texas,0 +East Berne,Albany County,New York,0 +East Bernstadt,Laurel County,Kentucky,0 +East Bethany,Genesee County,New York,0 +East Bloomfield,Ontario County,New York,0 +East Blue Hill,Hancock County,Maine,0 +East Boothbay,Lincoln County,Maine,0 +East Boston,Suffolk County,Massachusetts,0 +East Brady,Clarion County,Pennsylvania,0 +East Branch,Delaware County,New York,0 +East Bridgewater,Plymouth County,Massachusetts,0 +East Brookfield,Worcester County,Massachusetts,0 +East Brunswick,Middlesex County,New Jersey,0 +East Burke,Caledonia County,Vermont,0 +East Butler,Butler County,Pennsylvania,0 +East Calais,Washington County,Vermont,0 +East Canaan,Litchfield County,Connecticut,0 +East Candia,Rockingham County,New Hampshire,0 +East Canton,Stark County,Ohio,0 +East Carbon,Carbon County,Utah,0 +East Carondelet,St. Clair County,Illinois,0 +East Charleston,Orleans County,Vermont,0 +East Chatham,Columbia County,New York,0 +East Chicago,Lake County,Indiana,0 +East China,St. Clair County,Michigan,0 +East Claridon,Geauga County,Ohio,0 +East Concord,Erie County,New York,0 +East Corinth,Orange County,Vermont,0 +East Dennis,Barnstable County,Massachusetts,0 +East Derry,Rockingham County,New Hampshire,0 +East Dixfield,Oxford County,Maine,0 +East Dorset,Bennington County,Vermont,0 +East Dover,Windham County,Vermont,0 +East Dublin,Laurens County,Georgia,0 +East Dubuque,Jo Daviess County,Illinois,0 +East Durham,Greene County,New York,0 +East Earl,Lancaster County,Pennsylvania,0 +East Ellijay,Gilmer County,Georgia,0 +East Ellsworth,Pierce County,Wisconsin,0 +East Elmhurst,Queens County,New York,0 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County,Connecticut,0 +East Haven,New Haven County,Connecticut,0 +East Haven,Essex County,Vermont,0 +East Helena,Lewis and Clark County,Montana,0 +East Hickory,Forest County,Pennsylvania,0 +East Homer,Cortland County,New York,0 +East Irvine,Orange County,California,0 +East Islip,Suffolk County,New York,0 +East Jewett,Greene County,New York,0 +East Jordan,Charlevoix County,Michigan,0 +East Killingly,Windham County,Connecticut,0 +East Kingston,Rockingham County,New Hampshire,0 +East Lansing,Ingham County,Michigan,0 +East Leroy,Calhoun County,Michigan,0 +East Liberty,Logan County,Ohio,0 +East Livermore,Androscoggin County,Maine,0 +East Liverpool,Columbiana County,Ohio,0 +East Longmeadow,Hampden County,Massachusetts,0 +East Lyme,New London County,Connecticut,0 +East Lynn,Vermilion County,Illinois,0 +East Lynn,Wayne County,West Virginia,0 +East Lynne,Cass County,Missouri,0 +East Machias,Washington County,Maine,0 +East Mansfield,Bristol County,Massachusetts,0 +East Marion,Suffolk County,New York,0 +East Mc Keesport,Allegheny County,Pennsylvania,0 +East Meadow,Nassau County,New York,50 +East Meredith,Delaware County,New York,0 +East Middlebury,Addison County,Vermont,0 +East Millinocket,Penobscot County,Maine,0 +East Millsboro,Fayette County,Pennsylvania,0 +East Moline,Rock Island County,Illinois,0 +East Montpelier,Washington County,Vermont,0 +East Moriches,Suffolk County,New York,0 +East Nassau,Rensselaer County,New York,0 +East New Market,Dorchester County,Maryland,0 +East Newport,Penobscot County,Maine,0 +East Northport,Suffolk County,New York,0 +East Norwich,Nassau County,New York,0 +East Olympia,Thurston County,Washington,0 +East Orange,Essex County,New Jersey,0 +East Orland,Hancock County,Maine,0 +East Orleans,Barnstable County,Massachusetts,0 +East Otis,Berkshire County,Massachusetts,0 +East Otto,Cattaraugus County,New York,0 +East Palatka,Putnam County,Florida,0 +East Palestine,Columbiana County,Ohio,0 +East Parsonsfield,York County,Maine,0 +East Pembroke,Genesee County,New York,0 +East Peoria,Peoria County,Illinois,0 +East Peoria,Tazewell County,Illinois,0 +East Petersburg,Lancaster County,Pennsylvania,0 +East Pharsalia,Chenango County,New York,0 +East Pittsburgh,Allegheny County,Pennsylvania,0 +East Point,Floyd County,Kentucky,0 +East Poland,Androscoggin County,Maine,0 +East Poultney,Rutland County,Vermont,0 +East Prairie,Mississippi County,Missouri,0 +East Princeton,Worcester County,Massachusetts,0 +East Prospect,York County,Pennsylvania,0 +East Providence,Providence County,Rhode Island,0 +East Quogue,Suffolk County,New York,0 +East Randolph,Cattaraugus County,New York,0 +East Randolph,Orange County,Vermont,0 +East Rochester,Monroe County,New York,0 +East Rochester,Columbiana County,Ohio,0 +East Rockaway,Nassau County,New York,0 +East Rutherford,Bergen County,New Jersey,0 +East Ryegate,Caledonia County,Vermont,0 +East Saint Johnsbury,Caledonia County,Vermont,0 +East Saint Louis,St. Clair County,Illinois,0 +East Sandwich,Barnstable County,Massachusetts,0 +East Schodack,Rensselaer County,New York,0 +East Setauket,Suffolk County,New York,0 +East Smethport,McKean County,Pennsylvania,0 +East Smithfield,Bradford County,Pennsylvania,0 +East Sparta,Stark County,Ohio,0 +East Spencer,Rowan County,North Carolina,0 +East Springfield,Otsego County,New York,0 +East Springfield,Jefferson County,Ohio,0 +East Springfield,Erie County,Pennsylvania,0 +East Stone Gap,Wise County,Virginia,0 +East Stroudsburg,Monroe County,Pennsylvania,0 +East Syracuse,Onondaga County,New York,0 +East Tallassee,Tallapoosa County,Alabama,0 +East Taunton,Bristol County,Massachusetts,0 +East Tawas,Iosco County,Michigan,0 +East Templeton,Worcester County,Massachusetts,0 +East Texas,Lehigh County,Pennsylvania,0 +East Thetford,Orange County,Vermont,0 +East Troy,Walworth County,Wisconsin,0 +East Vandergrift,Westmoreland County,Pennsylvania,0 +East Vassalboro,Kennebec County,Maine,0 +East Wakefield,Carroll County,New Hampshire,0 +East Wallingford,Rutland County,Vermont,0 +East Walpole,Norfolk County,Massachusetts,0 +East Wareham,Plymouth County,Massachusetts,0 +East Waterboro,York County,Maine,0 +East Waterford,Juniata County,Pennsylvania,0 +East Wenatchee,Douglas County,Washington,0 +East Weymouth,Norfolk County,Massachusetts,0 +East Williamson,Wayne County,New York,0 +East Wilton,Franklin County,Maine,0 +East Windsor,Hartford County,Connecticut,0 +East Windsor Hill,Hartford County,Connecticut,0 +East Winthrop,Kennebec County,Maine,0 +East Woodstock,Windham County,Connecticut,0 +East Worcester,Otsego County,New York,0 +Eastaboga,Calhoun County,Alabama,0 +Eastabuchie,Jones County,Mississippi,0 +Eastanollee,Stephens County,Georgia,0 +Eastchester,Westchester County,New York,0 +Eastern,Floyd County,Kentucky,0 +Eastford,Windham County,Connecticut,0 +Eastham,Barnstable County,Massachusetts,0 +Easthampton,Hampshire County,Massachusetts,0 +Eastlake,Adams County,Colorado,0 +Eastlake,Manistee County,Michigan,0 +Eastlake,Lake County,Ohio,0 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County,Wisconsin,0 +Eden Mills,Lamoille County,Vermont,0 +Eden Prairie,Hennepin County,Minnesota,0 +Eden Valley,Stearns County,Minnesota,0 +Edenton,Chowan County,North Carolina,0 +Edenville,Midland County,Michigan,0 +Edgar,Putnam County,Florida,0 +Edgar,Carbon County,Montana,0 +Edgar,Clay County,Nebraska,0 +Edgar,Marathon County,Wisconsin,0 +Edgar Springs,Phelps County,Missouri,0 +Edgard,St. John the Baptist Parish,Louisiana,0 +Edgarton,Mingo County,West Virginia,0 +Edgartown,Dukes County,Massachusetts,0 +Edgecomb,Lincoln County,Maine,0 +Edgefield,Edgefield County,South Carolina,0 +Edgeley,LaMoure County,North Dakota,0 +Edgemont,Cleburne County,Arkansas,0 +Edgemont,Delaware County,Pennsylvania,0 +Edgemont,Fall River County,South Dakota,0 +Edgemoor,Chester County,South Carolina,0 +Edgerton,Johnson County,Kansas,0 +Edgerton,Pipestone County,Minnesota,0 +Edgerton,Platte County,Missouri,0 +Edgerton,Williams County,Ohio,0 +Edgerton,Rock County,Wisconsin,0 +Edgerton,Natrona County,Wyoming,0 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Parish,Louisiana,0 +Effie,Itasca County,Minnesota,0 +Effingham,Effingham County,Illinois,0 +Effingham,Atchison County,Kansas,0 +Effingham,Carroll County,New Hampshire,0 +Effingham,Florence County,South Carolina,0 +Effort,Monroe County,Pennsylvania,0 +Efland,Orange County,North Carolina,0 +Egan,Acadia Parish,Louisiana,0 +Egan,Moody County,South Dakota,0 +Egegik,Lake and Peninsula Borough,Alaska,0 +Egeland,Towner County,North Dakota,0 +Egg Harbor,Door County,Wisconsin,0 +Egg Harbor City,Atlantic County,New Jersey,0 +Egg Harbor Township,Atlantic County,New Jersey,0 +Eggleston,Giles County,Virginia,0 +Eglin Afb,Okaloosa County,Florida,0 +Eglon,Preston County,West Virginia,0 +Egnar,San Miguel County,Colorado,0 +Egypt,Craighead County,Arkansas,0 +Egypt,Wharton County,Texas,0 +Ehrenberg,La Paz County,Arizona,0 +Ehrhardt,Bamberg County,South Carolina,0 +Eidson,Hawkins County,Tennessee,0 +Eielson Afb,Fairbanks North Star Borough,Alaska,0 +Eight Mile,Mobile County,Alabama,0 +Eighty Eight,Barren County,Kentucky,0 +Eighty Four,Washington County,Pennsylvania,0 +Eitzen,Houston County,Minnesota,0 +Ekalaka,Carter County,Montana,0 +Ekron,Meade County,Kentucky,0 +Ekwok,Dillingham Census Area,Alaska,0 +El Cajon,San Diego County,California,0 +El Campo,Wharton County,Texas,0 +El Centro,Imperial County,California,0 +El Cerrito,Contra Costa County,California,0 +El Dorado,Union County,Arkansas,0 +El Dorado,El Dorado County,California,0 +El Dorado,Butler County,Kansas,0 +El Dorado Hills,El Dorado County,California,0 +El Dorado Springs,Cedar County,Missouri,0 +El Granada,San Mateo County,California,0 +El Indio,Maverick County,Texas,0 +El Jobean,Charlotte County,Florida,0 +El Mirage,Maricopa County,Arizona,0 +El Monte,Los Angeles County,California,0 +El Nido,Merced County,California,0 +El Paso,White County,Arkansas,0 +El Paso,Woodford County,Illinois,0 +El Paso,Crockett County,Texas,0 +El Paso,El Paso County,Texas,0 +El Portal,Mariposa County,California,0 +El Prado,Taos County,New Mexico,0 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County,Arizona,0 +Elgin,Santa Cruz County,Arizona,0 +Elgin,Kane County,Illinois,0 +Elgin,Fayette County,Iowa,0 +Elgin,Wabasha County,Minnesota,0 +Elgin,Antelope County,Nebraska,0 +Elgin,Grant County,North Dakota,0 +Elgin,Van Wert County,Ohio,0 +Elgin,Comanche County,Oklahoma,0 +Elgin,Union County,Oregon,0 +Elgin,Erie County,Pennsylvania,0 +Elgin,Kershaw County,South Carolina,0 +Elgin,Scott County,Tennessee,0 +Elgin,Bastrop County,Texas,0 +Elida,Roosevelt County,New Mexico,0 +Elim,Nome Census Area,Alaska,0 +Eliot,York County,Maine,0 +Elizabeth,Fulton County,Arkansas,0 +Elizabeth,Elbert County,Colorado,0 +Elizabeth,Jo Daviess County,Illinois,0 +Elizabeth,Harrison County,Indiana,0 +Elizabeth,Allen Parish,Louisiana,0 +Elizabeth,Otter Tail County,Minnesota,0 +Elizabeth,Union County,New Jersey,0 +Elizabeth,Allegheny County,Pennsylvania,0 +Elizabeth,Wirt County,West Virginia,0 +Elizabeth City,Pasquotank County,North Carolina,0 +Elizabethport,Union County,New Jersey,0 +Elizabethton,Carter County,Tennessee,0 +Elizabethtown,Hardin County,Illinois,0 +Elizabethtown,Bartholomew County,Indiana,0 +Elizabethtown,Hardin County,Kentucky,0 +Elizabethtown,Essex County,New York,0 +Elizabethtown,Bladen County,North Carolina,0 +Elizabethtown,Lancaster County,Pennsylvania,0 +Elizabethville,Dauphin County,Pennsylvania,0 +Elizaville,Fleming County,Kentucky,0 +Elizaville,Columbia County,New York,0 +Elk,Mendocino County,California,0 +Elk,Spokane County,Washington,0 +Elk City,Idaho County,Idaho,0 +Elk City,Montgomery County,Kansas,0 +Elk City,Beckham County,Oklahoma,0 +Elk Creek,Glenn County,California,0 +Elk Creek,Texas County,Missouri,0 +Elk Creek,Johnson County,Nebraska,0 +Elk Creek,Grayson County,Virginia,0 +Elk Falls,Elk County,Kansas,0 +Elk Garden,Mineral County,West Virginia,0 +Elk Grove,Sacramento County,California,0 +Elk Grove Village,Cook County,Illinois,0 +Elk Horn,Shelby County,Iowa,0 +Elk Horn,Taylor County,Kentucky,0 +Elk Mills,Cecil County,Maryland,0 +Elk Mound,Dunn County,Wisconsin,0 +Elk Mountain,Carbon County,Wyoming,0 +Elk Park,Avery County,North Carolina,0 +Elk Point,Union County,South Dakota,0 +Elk Rapids,Antrim County,Michigan,0 +Elk River,Clearwater County,Idaho,0 +Elk River,Sherburne County,Minnesota,0 +Elka Park,Greene County,New York,0 +Elkader,Clayton County,Iowa,0 +Elkfork,Morgan County,Kentucky,0 +Elkhart,Logan County,Illinois,0 +Elkhart,Elkhart County,Indiana,0 +Elkhart,Polk County,Iowa,0 +Elkhart,Morton County,Kansas,0 +Elkhart,Anderson County,Texas,0 +Elkhart Lake,Sheboygan County,Wisconsin,0 +Elkhorn,Douglas County,Nebraska,0 +Elkhorn,McDowell County,West Virginia,0 +Elkhorn,Walworth County,Wisconsin,0 +Elkhorn City,Pike County,Kentucky,0 +Elkin,Surry County,North Carolina,0 +Elkins,Washington County,Arkansas,0 +Elkins,Merrimack County,New Hampshire,0 +Elkins,Randolph County,West Virginia,0 +Elkins Park,Montgomery County,Pennsylvania,0 +Elkland,Dallas County,Missouri,0 +Elkland,Tioga County,Pennsylvania,0 +Elkmont,Limestone County,Alabama,0 +Elko,Houston County,Georgia,0 +Elko,Elko County,Nevada,0 +Elko,Barnwell County,South Carolina,0 +Elko New Market,Scott County,Minnesota,0 +Elkport,Clayton County,Iowa,0 +Elkridge,Howard County,Maryland,0 +Elkton,St. Johns County,Florida,0 +Elkton,Todd County,Kentucky,0 +Elkton,Cecil County,Maryland,0 +Elkton,Huron County,Michigan,0 +Elkton,Mower County,Minnesota,0 +Elkton,Columbiana County,Ohio,0 +Elkton,Douglas County,Oregon,0 +Elkton,Brookings County,South Dakota,0 +Elkton,Giles County,Tennessee,0 +Elkton,Rockingham County,Virginia,0 +Elkview,Kanawha County,West Virginia,0 +Elkville,Jackson County,Illinois,0 +Elkwood,Culpeper County,Virginia,0 +Ellabell,Bryan County,Georgia,0 +Ellamore,Randolph County,West Virginia,0 +Ellaville,Schley County,Georgia,0 +Ellenboro,Rutherford County,North Carolina,0 +Ellenboro,Ritchie County,West Virginia,0 +Ellenburg,Clinton County,New York,0 +Ellenburg Center,Clinton County,New York,0 +Ellenburg Depot,Clinton County,New York,0 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County,Pennsylvania,0 +Elliottville,Rowan County,Kentucky,0 +Ellis,Custer County,Idaho,0 +Ellis,Ellis County,Kansas,0 +Ellis Grove,Randolph County,Illinois,0 +Ellisburg,Jefferson County,New York,0 +Ellison Bay,Door County,Wisconsin,0 +Elliston,Powell County,Montana,0 +Elliston,Montgomery County,Virginia,0 +Ellisville,Fulton County,Illinois,0 +Ellisville,Jones County,Mississippi,0 +Elloree,Orangeburg County,South Carolina,0 +Ellsinore,Carter County,Missouri,0 +Ellston,Ringgold County,Iowa,0 +Ellsworth,McLean County,Illinois,0 +Ellsworth,Hamilton County,Iowa,0 +Ellsworth,Ellsworth County,Kansas,0 +Ellsworth,Hancock County,Maine,0 +Ellsworth,Antrim County,Michigan,0 +Ellsworth,Nobles County,Minnesota,0 +Ellsworth,Sheridan County,Nebraska,0 +Ellsworth,Mahoning County,Ohio,0 +Ellsworth,Washington County,Pennsylvania,0 +Ellsworth,Pierce County,Wisconsin,0 +Ellsworth Afb,Meade County,South Dakota,0 +Ellwood City,Lawrence County,Pennsylvania,0 +Elm,Lancaster County,Pennsylvania,0 +Elm City,Wilson County,North Carolina,0 +Elm Creek,Buffalo County,Nebraska,0 +Elm Grove,Bossier Parish,Louisiana,0 +Elm Grove,Waukesha County,Wisconsin,0 +Elm Hall,Gratiot County,Michigan,0 +Elm Mott,McLennan County,Texas,0 +Elm Springs,Benton County,Arkansas,0 +Elma,Howard County,Iowa,0 +Elma,Erie County,New York,0 +Elma,Grays Harbor County,Washington,0 +Elmaton,Matagorda County,Texas,0 +Elmdale,Chase County,Kansas,0 +Elmendorf,Bexar County,Texas,0 +Elmer,Rapides Parish,Louisiana,0 +Elmer,Macon County,Missouri,0 +Elmer,Salem County,New Jersey,0 +Elmer,Jackson County,Oklahoma,0 +Elmer City,Okanogan County,Washington,0 +Elmhurst,DuPage County,Illinois,0 +Elmhurst,Queens County,New York,0 +Elmhurst,Lackawanna County,Pennsylvania,0 +Elmira,Solano County,California,0 +Elmira,Antrim County,Michigan,0 +Elmira,Chemung County,New York,0 +Elmira,Lane County,Oregon,0 +Elmo,Nodaway County,Missouri,0 +Elmo,Lake County,Montana,0 +Elmo,Kaufman County,Texas,0 +Elmo,Emery County,Utah,0 +Elmont,Nassau County,New York,0 +Elmora,Cambria County,Pennsylvania,0 +Elmore,Elmore County,Alabama,0 +Elmore,Faribault County,Minnesota,0 +Elmore,Ottawa County,Ohio,0 +Elmore City,Garvin County,Oklahoma,0 +Elmsford,Westchester County,New York,0 +Elmwood,Peoria County,Illinois,0 +Elmwood,Plymouth County,Massachusetts,0 +Elmwood,Cass County,Nebraska,0 +Elmwood,Smith County,Tennessee,0 +Elmwood,Pierce County,Wisconsin,0 +Elmwood Park,Cook County,Illinois,0 +Elmwood Park,Bergen County,New Jersey,0 +Elnora,Daviess County,Indiana,0 +Elon,Alamance County,North Carolina,0 +Elora,Lincoln County,Tennessee,0 +Eloy,Pinal County,Arizona,0 +Elrama,Washington County,Pennsylvania,0 +Elrod,Tuscaloosa County,Alabama,0 +Elrosa,Stearns County,Minnesota,0 +Elroy,Juneau County,Wisconsin,0 +Elsa,Hidalgo County,Texas,0 +Elsah,Jersey County,Illinois,0 +Elsberry,Lincoln County,Missouri,0 +Elsie,Clinton County,Michigan,0 +Elsie,Perkins County,Nebraska,0 +Elsinore,Sevier County,Utah,0 +Elsmere,Cherry County,Nebraska,0 +Elsmore,Allen County,Kansas,0 +Elton,Jefferson Davis Parish,Louisiana,0 +Elton,Cambria County,Pennsylvania,0 +Elton,Summers County,West Virginia,0 +Elton,Langlade County,Wisconsin,0 +Eltopia,Franklin County,Washington,0 +Elvaston,Hancock County,Illinois,0 +Elverson,Chester County,Pennsylvania,0 +Elverta,Sacramento County,California,0 +Elwell,Gratiot County,Michigan,0 +Elwin,Macon County,Illinois,0 +Elwood,Will County,Illinois,0 +Elwood,Madison County,Indiana,0 +Elwood,Doniphan County,Kansas,0 +Elwood,Gosper County,Nebraska,0 +Elwood,Atlantic County,New Jersey,0 +Ely,Linn County,Iowa,0 +Ely,St. Louis County,Minnesota,0 +Ely,White Pine County,Nevada,0 +Elyria,Valley County,Nebraska,0 +Elyria,Lorain County,Ohio,0 +Elysburg,Northumberland County,Pennsylvania,0 +Elysian,Le Sueur County,Minnesota,0 +Elysian Fields,Harrison County,Texas,0 +Embarrass,St. Louis County,Minnesota,0 +Embarrass,Waupaca County,Wisconsin,0 +Emblem,Big Horn County,Wyoming,0 +Embudo,Rio Arriba County,New Mexico,0 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County,Pennsylvania,0 +Emmet,Nevada County,Arkansas,0 +Emmet,Holt County,Nebraska,0 +Emmetsburg,Palo Alto County,Iowa,0 +Emmett,Gem County,Idaho,0 +Emmett,Pottawatomie County,Kansas,0 +Emmett,St. Clair County,Michigan,0 +Emmitsburg,Frederick County,Maryland,0 +Emmonak,Wade Hampton Census Area,Alaska,0 +Emmons,Freeborn County,Minnesota,0 +Emory,Rains County,Texas,0 +Emory,Washington County,Virginia,0 +Empire,Walker County,Alabama,0 +Empire,Stanislaus County,California,0 +Empire,Clear Creek County,Colorado,0 +Empire,Plaquemines Parish,Louisiana,0 +Empire,Leelanau County,Michigan,0 +Empire,Washoe County,Nevada,0 +Empire,Jefferson County,Ohio,0 +Emporia,Lyon County,Kansas,0 +Emporia,Greensville County,Virginia,0 +Emporium,Cameron County,Pennsylvania,0 +Encampment,Carbon County,Wyoming,0 +Encinal,La Salle County,Texas,0 +Encinitas,San Diego County,California,0 +Encino,Los Angeles County,California,0 +Encino,Torrance County,New Mexico,0 +Encino,Brooks County,Texas,0 +Endeavor,Forest County,Pennsylvania,0 +Endeavor,Marquette County,Wisconsin,0 +Enderlin,Ransom County,North Dakota,0 +Enders,Chase County,Nebraska,0 +Endicott,Jefferson County,Nebraska,0 +Endicott,Broome County,New York,0 +Endicott,Whitman County,Washington,0 +Endwell,Broome County,New York,0 +Energy,Williamson County,Illinois,0 +Energy,Comanche County,Texas,0 +Enfield,Hartford County,Connecticut,0 +Enfield,White County,Illinois,0 +Enfield,Grafton County,New Hampshire,0 +Enfield,Halifax County,North Carolina,0 +Enfield Center,Grafton County,New Hampshire,0 +Engadine,Mackinac County,Michigan,0 +Engelhard,Hyde County,North Carolina,0 +England,Lonoke County,Arkansas,0 +Englewood,Arapahoe County,Colorado,0 +Englewood,Charlotte County,Florida,0 +Englewood,Sarasota County,Florida,0 +Englewood,Clark County,Kansas,0 +Englewood,Bergen County,New Jersey,0 +Englewood,Montgomery County,Ohio,0 +Englewood,McMinn County,Tennessee,0 +Englewood Cliffs,Bergen County,New Jersey,0 +English,Crawford County,Indiana,0 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Jersey,0 +Fair Oaks,Sacramento County,California,0 +Fair Oaks,Jasper County,Indiana,0 +Fair Play,Polk County,Missouri,0 +Fair Play,Oconee County,South Carolina,0 +Fairacres,Do�a Ana County,New Mexico,0 +Fairbank,Buchanan County,Iowa,0 +Fairbank,Fayette County,Pennsylvania,0 +Fairbanks,Fairbanks North Star Borough,Alaska,0 +Fairbanks,Southeast Fairbanks Census Area,Alaska,0 +Fairbanks,Yukon-Koyukuk Census Area,Alaska,0 +Fairbanks,Sullivan County,Indiana,0 +Fairbanks,Ouachita Parish,Louisiana,0 +Fairborn,Greene County,Ohio,0 +Fairburn,Fulton County,Georgia,0 +Fairburn,Custer County,South Dakota,0 +Fairbury,Livingston County,Illinois,0 +Fairbury,Jefferson County,Nebraska,0 +Fairchance,Fayette County,Pennsylvania,0 +Fairchild,Eau Claire County,Wisconsin,0 +Fairchild Air Force Base,Spokane County,Washington,0 +Fairdale,Jefferson County,Kentucky,0 +Fairdale,Walsh County,North Dakota,0 +Fairdale,Raleigh County,West Virginia,0 +Fairdealing,Ripley County,Missouri,0 +Fairfax,Marin 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County,Montana,0 +Fallon,Churchill County,Nevada,0 +Falls,Wyoming County,Pennsylvania,0 +Falls Church,Fairfax County,Virginia,0 +Falls Church,Falls Church City,Virginia,0 +Falls Church,Falls Church city,Virginia,0 +Falls City,Richardson County,Nebraska,0 +Falls City,Polk County,Oregon,0 +Falls City,Karnes County,Texas,0 +Falls Creek,Jefferson County,Pennsylvania,0 +Falls Mills,Tazewell County,Virginia,0 +Falls Of Rough,Grayson County,Kentucky,0 +Falls Village,Litchfield County,Connecticut,0 +Fallsburg,Sullivan County,New York,0 +Fallston,Harford County,Maryland,0 +Fallston,Cleveland County,North Carolina,0 +Falmouth,Rush County,Indiana,0 +Falmouth,Pendleton County,Kentucky,0 +Falmouth,Cumberland County,Maine,0 +Falmouth,Barnstable County,Massachusetts,0 +Falmouth,Missaukee County,Michigan,0 +False Pass,Aleutians East Borough,Alaska,0 +Falun,Saline County,Kansas,0 +Fancher,Orleans County,New York,0 +Fancy Farm,Graves County,Kentucky,0 +Fancy Gap,Carroll County,Virginia,0 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County,North Carolina,0 +Farmville,Prince Edward County,Virginia,0 +Farnam,Dawson County,Nebraska,0 +Farner,Polk County,Tennessee,0 +Farnham,Erie County,New York,0 +Farnham,Richmond County,Virginia,0 +Farnhamville,Calhoun County,Iowa,0 +Farnsworth,Ochiltree County,Texas,0 +Farragut,Fremont County,Iowa,0 +Farrar,Perry County,Missouri,0 +Farrell,Coahoma County,Mississippi,0 +Farrell,Mercer County,Pennsylvania,0 +Farson,Sweetwater County,Wyoming,0 +Farwell,Clare County,Michigan,0 +Farwell,Douglas County,Minnesota,0 +Farwell,Howard County,Nebraska,0 +Farwell,Parmer County,Texas,0 +Fate,Rockwall County,Texas,0 +Faucett,Buchanan County,Missouri,0 +Faulkner,Charles County,Maryland,0 +Faulkton,Faulk County,South Dakota,0 +Faunsdale,Marengo County,Alabama,0 +Fawn Grove,York County,Pennsylvania,0 +Fawnskin,San Bernardino County,California,0 +Faxon,Comanche County,Oklahoma,0 +Fay,Dewey County,Oklahoma,0 +Fayette,Fayette County,Alabama,0 +Fayette,Fayette County,Iowa,0 +Fayette,Jefferson County,Mississippi,0 +Fayette,Howard County,Missouri,0 +Fayette,Seneca County,New York,0 +Fayette,Fulton County,Ohio,0 +Fayette,Sanpete County,Utah,0 +Fayette City,Fayette County,Pennsylvania,0 +Fayetteville,Washington County,Arkansas,0 +Fayetteville,Fayette County,Georgia,0 +Fayetteville,Onondaga County,New York,0 +Fayetteville,Bladen County,North Carolina,0 +Fayetteville,Cumberland County,North Carolina,0 +Fayetteville,Brown County,Ohio,0 +Fayetteville,Franklin County,Pennsylvania,0 +Fayetteville,Lincoln County,Tennessee,0 +Fayetteville,Fayette County,Texas,0 +Fayetteville,Fayette County,West Virginia,0 +Fayville,Worcester County,Massachusetts,0 +Faywood,Grant County,New Mexico,0 +Fe Warren Afb,Laramie County,Wyoming,0 +Feasterville Trevose,Bucks County,Pennsylvania,0 +Feather Falls,Butte County,California,0 +Federal Dam,Cass County,Minnesota,0 +Federal Way,King County,Washington,0 +Federalsburg,Caroline County,Maryland,0 +Fedora,Miner County,South Dakota,0 +Fedscreek,Pike County,Kentucky,0 +Feeding Hills,Hampden County,Massachusetts,0 +Feesburg,Brown County,Ohio,0 +Felch,Dickinson County,Michigan,0 +Felda,Hendry County,Florida,0 +Felicity,Clermont County,Ohio,0 +Fellows,Kern County,California,0 +Fellsmere,Indian River County,Florida,0 +Felt,Teton County,Idaho,0 +Felt,Cimarron County,Oklahoma,0 +Felton,Santa Cruz County,California,0 +Felton,Kent County,Delaware,0 +Felton,Haralson County,Georgia,0 +Felton,Clay County,Minnesota,0 +Felton,York County,Pennsylvania,0 +Felts Mills,Jefferson County,New York,0 +Fence,Florence County,Wisconsin,0 +Fence Lake,Cibola County,New Mexico,0 +Fenelton,Butler County,Pennsylvania,0 +Fenn,Idaho County,Idaho,0 +Fennimore,Grant County,Wisconsin,0 +Fennville,Allegan County,Michigan,0 +Fenton,Whiteside County,Illinois,0 +Fenton,Kossuth County,Iowa,0 +Fenton,Jefferson Davis Parish,Louisiana,0 +Fenton,Genesee County,Michigan,0 +Fenton,St. Louis County,Missouri,0 +Fentress,Caldwell County,Texas,0 +Fenwick,Montcalm County,Michigan,0 +Fenwick,Nicholas County,West Virginia,0 +Fenwick Island,Sussex County,Delaware,0 +Ferdinand,Idaho County,Idaho,0 +Ferdinand,Dubois County,Indiana,0 +Fergus Falls,Otter Tail County,Minnesota,0 +Ferguson,Marshall County,Iowa,0 +Ferguson,Pulaski County,Kentucky,0 +Ferguson,Wilkes County,North Carolina,0 +Fernandina Beach,Nassau County,Florida,0 +Ferndale,Humboldt County,California,0 +Ferndale,Lake County,Florida,0 +Ferndale,Oakland County,Michigan,0 +Ferndale,Sullivan County,New York,0 +Ferndale,Bucks County,Pennsylvania,0 +Ferndale,Whatcom County,Washington,0 +Ferney,Brown County,South Dakota,0 +Fernley,Lyon County,Nevada,0 +Fernwood,Benewah County,Idaho,0 +Fernwood,Pike County,Mississippi,0 +Ferriday,Concordia Parish,Louisiana,0 +Ferris,Hancock County,Illinois,0 +Ferris,Ellis County,Texas,0 +Ferrisburgh,Addison County,Vermont,0 +Ferron,Emery County,Utah,0 +Ferrum,Franklin County,Virginia,0 +Ferrysburg,Ottawa County,Michigan,0 +Ferryville,Crawford County,Wisconsin,0 +Fertile,Worth County,Iowa,0 +Fertile,Polk County,Minnesota,0 +Fessenden,Wells County,North Dakota,0 +Festus,Jefferson County,Missouri,0 +Feura Bush,Albany County,New York,0 +Fiatt,Fulton County,Illinois,0 +Fiddletown,Amador County,California,0 +Fidelity,Jersey County,Illinois,0 +Fieldale,Henry County,Virginia,0 +Fielding,Box Elder County,Utah,0 +Fieldon,Jersey County,Illinois,0 +Fields,Harney County,Oregon,0 +Fields Landing,Humboldt County,California,0 +Fieldton,Lamb County,Texas,0 +Fife Lake,Kalkaska County,Michigan,0 +Fifield,Price County,Wisconsin,0 +Fifty Lakes,Crow Wing County,Minnesota,0 +Fifty Six,Stone County,Arkansas,0 +Filer,Twin Falls County,Idaho,0 +Filer City,Manistee County,Michigan,0 +Filion,Huron County,Michigan,0 +Filley,Gage County,Nebraska,0 +Fillmore,Ventura County,California,0 +Fillmore,Montgomery County,Illinois,0 +Fillmore,Putnam County,Indiana,0 +Fillmore,Andrew County,Missouri,0 +Fillmore,Allegany County,New York,0 +Fillmore,Millard County,Utah,0 +Fincastle,Botetourt County,Virginia,0 +Finchville,Shelby County,Kentucky,0 +Findlay,Shelby County,Illinois,0 +Findlay,Hancock County,Ohio,0 +Findley Lake,Chautauqua County,New York,0 +Fine,St. Lawrence County,New York,0 +Fingal,Barnes County,North Dakota,0 +Finger,McNairy County,Tennessee,0 +Fingerville,Spartanburg County,South Carolina,0 +Finksburg,Carroll County,Maryland,0 +Finland,Lake County,Minnesota,0 +Finlayson,Pine County,Minnesota,0 +Finley,Lake County,California,0 +Finley,Steele County,North Dakota,0 +Finley,Pushmataha County,Oklahoma,0 +Finley,Dyer County,Tennessee,0 +Finleyville,Washington County,Pennsylvania,0 +Finly,Hancock County,Indiana,0 +Firebaugh,Fresno County,California,0 +Firestone,Weld County,Colorado,0 +Firth,Bingham County,Idaho,0 +Firth,Lancaster County,Nebraska,0 +Fischer,Comal County,Texas,0 +Fish Camp,Mariposa County,California,0 +Fish Creek,Door County,Wisconsin,0 +Fish Haven,Bear Lake County,Idaho,0 +Fisher,Poinsett County,Arkansas,0 +Fisher,Champaign County,Illinois,0 +Fisher,Sabine Parish,Louisiana,0 +Fisher,Polk County,Minnesota,0 +Fisher,Clarion County,Pennsylvania,0 +Fisher,Hardy County,West Virginia,0 +Fishers,Hamilton County,Indiana,0 +Fishers,Ontario County,New York,0 +Fishers Hill,Shenandoah County,Virginia,0 +Fishers Island,Suffolk County,New York,0 +Fishers Landing,Jefferson County,New York,0 +Fishersville,Augusta County,Virginia,0 +Fishertown,Bedford County,Pennsylvania,0 +Fisherville,Jefferson County,Kentucky,0 +Fishing Creek,Dorchester County,Maryland,0 +Fishkill,Dutchess County,New York,0 +Fishs Eddy,Delaware County,New York,0 +Fishtail,Stillwater County,Montana,0 +Fisk,Butler County,Missouri,0 +Fiskdale,Worcester County,Massachusetts,0 +Fiskeville,Providence County,Rhode Island,0 +Fisty,Knott County,Kentucky,0 +Fitchburg,Worcester County,Massachusetts,0 +Fithian,Vermilion County,Illinois,0 +Fittstown,Pontotoc County,Oklahoma,0 +Fitzgerald,Ben Hill County,Georgia,0 +Fitzhugh,Pontotoc County,Oklahoma,0 +Fitzpatrick,Bullock County,Alabama,0 +Fitzwilliam,Cheshire County,New Hampshire,0 +Five Points,Chambers County,Alabama,0 +Five Points,Fresno County,California,0 +Five Points,Lawrence County,Tennessee,0 +Flag Pond,Unicoi County,Tennessee,0 +Flagler,Kit Carson County,Colorado,0 +Flagler Beach,Flagler County,Florida,0 +Flagstaff,Coconino County,Arizona,0 +Flagtown,Somerset County,New Jersey,0 +Flanagan,Livingston County,Illinois,0 +Flanders,Morris County,New Jersey,0 +Flandreau,Moody County,South Dakota,0 +Flasher,Morton County,North Dakota,0 +Flat,Coryell County,Texas,0 +Flat Lick,Knox County,Kentucky,0 +Flat Rock,Jackson County,Alabama,0 +Flat Rock,Crawford County,Illinois,0 +Flat Rock,Shelby County,Indiana,0 +Flat Rock,Wayne County,Michigan,0 +Flat Rock,Henderson County,North Carolina,0 +Flat Rock,Seneca County,Ohio,0 +Flat Top,Mercer County,West Virginia,0 +Flatgap,Johnson County,Kentucky,0 +Flatonia,Fayette County,Texas,0 +Flatwoods,Greenup County,Kentucky,0 +Flatwoods,Rapides Parish,Louisiana,0 +Flatwoods,Braxton County,West Virginia,0 +Flaxton,Burke County,North Dakota,0 +Flaxville,Daniels County,Montana,0 +Fleetville,Lackawanna County,Pennsylvania,0 +Fleetwood,Ashe County,North Carolina,0 +Fleetwood,Berks County,Pennsylvania,0 +Fleischmanns,Delaware County,New York,0 +Fleming,Logan County,Colorado,0 +Fleming,Liberty County,Georgia,0 +Fleming,Washington County,Ohio,0 +Fleming,Centre County,Pennsylvania,0 +Fleming Island,Clay County,Florida,0 +Flemingsburg,Fleming County,Kentucky,0 +Flemington,Hickory County,Missouri,0 +Flemington,Hunterdon County,New Jersey,0 +Flemington,Taylor County,West Virginia,0 +Flensburg,Morrison County,Minnesota,0 +Fletcher,Washington County,Missouri,0 +Fletcher,Henderson County,North Carolina,0 +Fletcher,Miami County,Ohio,0 +Fletcher,Comanche County,Oklahoma,0 +Flicksville,Northampton County,Pennsylvania,0 +Flint,Genesee County,Michigan,0 +Flint,Smith County,Texas,0 +Flint Hill,Rappahannock County,Virginia,0 +Flinthill,St. Charles County,Missouri,0 +Flinton,Cambria County,Pennsylvania,0 +Flintstone,Walker County,Georgia,0 +Flintstone,Allegany County,Maryland,0 +Flintville,Lincoln County,Tennessee,0 +Flippin,Marion County,Arkansas,0 +Flom,Norman County,Minnesota,0 +Flomaton,Escambia County,Alabama,0 +Flomot,Motley County,Texas,0 +Floodwood,St. Louis County,Minnesota,0 +Flora,Clay County,Illinois,0 +Flora,Carroll County,Indiana,0 +Flora,Natchitoches Parish,Louisiana,0 +Flora,Madison County,Mississippi,0 +Flora Vista,San Juan County,New Mexico,0 +Florahome,Putnam County,Florida,0 +Floral,Independence County,Arkansas,0 +Floral City,Citrus County,Florida,0 +Floral Park,Nassau County,New York,0 +Floral Park,Queens County,New York,0 +Florala,Covington County,Alabama,0 +Florence,Lauderdale County,Alabama,0 +Florence,Pinal County,Arizona,0 +Florence,Fremont County,Colorado,0 +Florence,Switzerland County,Indiana,0 +Florence,Marion County,Kansas,0 +Florence,Boone County,Kentucky,0 +Florence,Hampshire County,Massachusetts,0 +Florence,Rankin County,Mississippi,0 +Florence,Morgan County,Missouri,0 +Florence,Ravalli County,Montana,0 +Florence,Burlington County,New Jersey,0 +Florence,Lane County,Oregon,0 +Florence,Florence County,South Carolina,0 +Florence,Codington County,South Dakota,0 +Florence,Williamson County,Texas,0 +Florence,Rutland County,Vermont,0 +Florence,Florence County,Wisconsin,0 +Floresville,Wilson County,Texas,0 +Florham Park,Morris County,New Jersey,0 +Florida,Orange County,New York,0 +Florida,Florida Municipio,Puerto Rico,0 +Florien,Sabine Parish,Louisiana,0 +Floris,Davis County,Iowa,0 +Florissant,Teller County,Colorado,0 +Florissant,St. Louis County,Missouri,0 +Floriston,Sierra County,California,0 +Flossmoor,Cook County,Illinois,0 +Flournoy,Tehama County,California,0 +Flourtown,Montgomery County,Pennsylvania,0 +Flovilla,Butts County,Georgia,0 +Flower Mound,Denton County,Texas,0 +Floweree,Chouteau County,Montana,0 +Flowery Branch,Hall County,Georgia,0 +Flowood,Rankin County,Mississippi,0 +Floyd,Floyd County,Iowa,0 +Floyd,Roosevelt County,New Mexico,0 +Floyd,Floyd County,Virginia,0 +Floydada,Floyd County,Texas,0 +Floyds Knobs,Floyd County,Indiana,0 +Fluker,Tangipahoa Parish,Louisiana,0 +Flushing,Genesee County,Michigan,0 +Flushing,Queens County,New York,0 +Flushing,Belmont County,Ohio,0 +Fluvanna,Scurry County,Texas,0 +Fly Creek,Otsego County,New York,0 +Flynn,Leon County,Texas,0 +Fogelsville,Lehigh County,Pennsylvania,0 +Folcroft,Delaware County,Pennsylvania,0 +Foley,Baldwin County,Alabama,0 +Foley,Benton County,Minnesota,0 +Foley,Lincoln County,Missouri,0 +Folkston,Charlton County,Georgia,0 +Follansbee,Brooke County,West Virginia,0 +Follett,Lipscomb County,Texas,0 +Folly Beach,Charleston County,South Carolina,0 +Folsom,Sacramento County,California,0 +Folsom,St. Tammany Parish,Louisiana,0 +Folsom,Union County,New Mexico,0 +Folsom,Delaware County,Pennsylvania,0 +Folsom,Wetzel County,West Virginia,0 +Folsomville,Warrick County,Indiana,0 +Fombell,Beaver County,Pennsylvania,0 +Fond Du Lac,Fond du Lac County,Wisconsin,0 +Fonda,Pocahontas County,Iowa,0 +Fonda,Montgomery County,New York,0 +Fontana,San Bernardino County,California,0 +Fontana,Miami County,Kansas,0 +Fontana,Walworth County,Wisconsin,0 +Fontana Dam,Graham County,North Carolina,0 +Fontanelle,Adair County,Iowa,0 +Fontanet,Vigo County,Indiana,0 +Foosland,Champaign County,Illinois,0 +Foothill Ranch,Orange County,California,0 +Footville,Rock County,Wisconsin,0 +Forbes,St. Louis County,Minnesota,0 +Forbes,McPherson County,North Dakota,0 +Forbes Road,Westmoreland County,Pennsylvania,0 +Forbestown,Butte County,California,0 +Force,Elk County,Pennsylvania,0 +Ford,Ford County,Kansas,0 +Ford,Dinwiddie County,Virginia,0 +Ford,Stevens County,Washington,0 +Ford City,Armstrong County,Pennsylvania,0 +Ford Cliff,Armstrong County,Pennsylvania,0 +Fordland,Webster County,Missouri,0 +Fordoche,Pointe Coupee Parish,Louisiana,0 +Fords,Middlesex County,New Jersey,0 +Fords Branch,Pike County,Kentucky,0 +Fordsville,Ohio County,Kentucky,0 +Fordville,Walsh County,North Dakota,0 +Fordyce,Dallas County,Arkansas,0 +Fordyce,Cedar County,Nebraska,0 +Foreman,Little River County,Arkansas,0 +Forest,Clinton County,Indiana,0 +Forest,West Carroll Parish,Louisiana,0 +Forest,Scott County,Mississippi,0 +Forest,Hardin County,Ohio,0 +Forest,Bedford County,Virginia,0 +Forest City,Mason County,Illinois,0 +Forest City,Winnebago County,Iowa,0 +Forest City,Holt County,Missouri,0 +Forest City,Rutherford County,North Carolina,0 +Forest City,Susquehanna County,Pennsylvania,0 +Forest Dale,Rutland County,Vermont,0 +Forest Falls,San Bernardino County,California,0 +Forest Grove,Fergus County,Montana,0 +Forest Grove,Washington County,Oregon,0 +Forest Grove,Bucks County,Pennsylvania,0 +Forest Hill,Rapides Parish,Louisiana,0 +Forest Hill,Harford County,Maryland,0 +Forest Hill,Summers County,West Virginia,0 +Forest Hills,Pike County,Kentucky,0 +Forest Hills,Queens County,New York,0 +Forest Home,Butler County,Alabama,0 +Forest Junction,Calumet County,Wisconsin,0 +Forest Knolls,Marin County,California,0 +Forest Lake,Washington County,Minnesota,0 +Forest Lakes,Coconino County,Arizona,0 +Forest Park,Clayton County,Georgia,0 +Forest Park,Cook County,Illinois,0 +Forest Ranch,Butte County,California,0 +Forest River,Walsh County,North Dakota,0 +Forestburg,Montague County,Texas,0 +Forestburgh,Sullivan County,New York,0 +Forestdale,Barnstable County,Massachusetts,0 +Forestdale,Providence County,Rhode Island,0 +Foresthill,Placer County,California,0 +Foreston,Mille Lacs County,Minnesota,0 +Forestport,Oneida County,New York,0 +Forestville,Sonoma County,California,0 +Forestville,Sanilac County,Michigan,0 +Forestville,Chautauqua County,New York,0 +Forestville,Butler County,Pennsylvania,0 +Forestville,Door County,Wisconsin,0 +Forgan,Beaver County,Oklahoma,0 +Foristell,St. Charles County,Missouri,0 +Fork,Baltimore County,Maryland,0 +Fork,Dillon County,South Carolina,0 +Fork Union,Fluvanna County,Virginia,0 +Forked River,Ocean County,New Jersey,0 +Forkland,Greene County,Alabama,0 +Forks,Clallam County,Washington,0 +Forks Of Salmon,Siskiyou County,California,0 +Forksville,Sullivan County,Pennsylvania,0 +Forman,Sargent County,North Dakota,0 +Formoso,Jewell County,Kansas,0 +Forney,Kaufman County,Texas,0 +Forrest,Livingston County,Illinois,0 +Forrest City,St. Francis County,Arkansas,0 +Forreston,Ogle County,Illinois,0 +Forreston,Ellis County,Texas,0 +Forsan,Howard County,Texas,0 +Forsyth,Monroe County,Georgia,0 +Forsyth,Macon County,Illinois,0 +Forsyth,Taney County,Missouri,0 +Forsyth,Rosebud County,Montana,0 +Fort Ann,Washington County,New York,0 +Fort Apache,Navajo County,Arizona,0 +Fort Ashby,Mineral County,West Virginia,0 +Fort Atkinson,Winneshiek County,Iowa,0 +Fort Atkinson,Jefferson County,Wisconsin,0 +Fort Bayard,Grant County,New Mexico,0 +Fort Belvoir,Fairfax County,Virginia,0 +Fort Benning,Chattahoochee County,Georgia,0 +Fort Benton,Chouteau County,Montana,0 +Fort Bidwell,Modoc County,California,0 +Fort Blackmore,Scott County,Virginia,0 +Fort Bliss,El Paso County,Texas,0 +Fort Bragg,Mendocino County,California,0 +Fort Bragg,Cumberland County,North Carolina,0 +Fort Branch,Gibson County,Indiana,0 +Fort Bridger,Uinta County,Wyoming,0 +Fort Buchanan,Guaynabo Municipio,Puerto Rico,0 +Fort Calhoun,Washington County,Nebraska,0 +Fort Campbell,Christian County,Kentucky,0 +Fort Cobb,Caddo County,Oklahoma,0 +Fort Collins,Larimer County,Colorado,0 +Fort Covington,Franklin County,New York,0 +Fort Davis,Macon County,Alabama,0 +Fort Davis,Jeff Davis County,Texas,0 +Fort Defiance,Apache County,Arizona,0 +Fort Defiance,Augusta County,Virginia,0 +Fort Deposit,Lowndes County,Alabama,0 +Fort Dick,Del Norte County,California,0 +Fort Dix,Burlington County,New Jersey,0 +Fort Dodge,Webster County,Iowa,0 +Fort Dodge,Ford County,Kansas,0 +Fort Drum,Jefferson County,New York,0 +Fort Duchesne,Uintah County,Utah,0 +Fort Edward,Washington County,New York,0 +Fort Eustis,Newport News city,Virginia,0 +Fort Fairfield,Aroostook County,Maine,0 +Fort Gaines,Clay County,Georgia,0 +Fort Garland,Costilla County,Colorado,0 +Fort Gay,Wayne County,West Virginia,0 +Fort George G Meade,Anne Arundel County,Maryland,0 +Fort Gibson,Muskogee County,Oklahoma,0 +Fort Gratiot,St. Clair County,Michigan,0 +Fort Greely,Southeast Fairbanks Census Area,Alaska,0 +Fort Hall,Bannock County,Idaho,0 +Fort Hancock,Hudspeth County,Texas,0 +Fort Harrison,Lewis and Clark County,Montana,0 +Fort Hill,Somerset County,Pennsylvania,0 +Fort Hood,Bell County,Texas,0 +Fort Howard,Baltimore County,Maryland,0 +Fort Huachuca,Cochise County,Arizona,0 +Fort Hunter,Montgomery County,New York,0 +Fort Irwin,San Bernardino County,California,0 +Fort Jennings,Putnam County,Ohio,0 +Fort Johnson,Montgomery County,New York,0 +Fort Jones,Siskiyou County,California,0 +Fort Kent,Aroostook County,Maine,0 +Fort Kent Mills,Aroostook County,Maine,0 +Fort Klamath,Klamath County,Oregon,0 +Fort Knox,Hardin County,Kentucky,0 +Fort Laramie,Goshen County,Wyoming,0 +Fort Lauderdale,Broward County,Florida,0 +Fort Lawn,Chester County,South Carolina,0 +Fort Leavenworth,Leavenworth County,Kansas,0 +Fort Lee,Bergen County,New Jersey,0 +Fort Lee,Prince George County,Virginia,0 +Fort Leonard Wood,Pulaski County,Missouri,0 +Fort Littleton,Fulton County,Pennsylvania,0 +Fort Loramie,Shelby County,Ohio,0 +Fort Loudon,Franklin County,Pennsylvania,0 +Fort Lupton,Weld County,Colorado,0 +Fort Lyon,Bent County,Colorado,0 +Fort Madison,Lee County,Iowa,0 +Fort Mc Coy,Marion County,Florida,0 +Fort Mc Kavett,Menard County,Texas,0 +Fort Mcdowell,Maricopa County,Arizona,0 +Fort Meade,Polk County,Florida,0 +Fort Meade,Meade County,South Dakota,0 +Fort Mill,Lancaster County,South Carolina,0 +Fort Mill,York County,South Carolina,0 +Fort Mitchell,Russell County,Alabama,0 +Fort Mitchell,Lunenburg County,Virginia,0 +Fort Mohave,Mohave County,Arizona,0 +Fort Monmouth,Monmouth County,New Jersey,0 +Fort Monroe,Hampton city,Virginia,0 +Fort Montgomery,Orange County,New York,0 +Fort Morgan,Morgan County,Colorado,0 +Fort Myer,Arlington County,Virginia,0 +Fort Myers,Lee County,Florida,0 +Fort Myers Beach,Lee County,Florida,0 +Fort Necessity,Franklin Parish,Louisiana,0 +Fort Ogden,Desoto County,Florida,0 +Fort Oglethorpe,Catoosa County,Georgia,0 +Fort Payne,DeKalb County,Alabama,0 +Fort Peck,Valley County,Montana,0 +Fort Pierce,St. Lucie County,Florida,0 +Fort Pierre,Stanley County,South Dakota,0 +Fort Plain,Montgomery County,New York,0 +Fort Polk,Vernon Parish,Louisiana,0 +Fort Ransom,Ransom County,North Dakota,0 +Fort Recovery,Mercer County,Ohio,0 +Fort Riley,Riley County,Kansas,0 +Fort Ripley,Crow Wing County,Minnesota,0 +Fort Ritner,Lawrence County,Indiana,0 +Fort Rock,Lake County,Oregon,0 +Fort Rucker,Dale County,Alabama,0 +Fort Scott,Bourbon County,Kansas,0 +Fort Shafter,Honolulu County,Hawaii,0 +Fort Shaw,Cascade County,Montana,0 +Fort Sheridan,Lake County,Illinois,0 +Fort Sill,Comanche County,Oklahoma,0 +Fort Smith,Sebastian County,Arkansas,0 +Fort Smith,Big Horn County,Montana,0 +Fort Stanton,Lincoln County,New Mexico,0 +Fort Stewart,Liberty County,Georgia,0 +Fort Stockton,Pecos County,Texas,0 +Fort Sumner,De Baca County,New Mexico,0 +Fort Supply,Woodward County,Oklahoma,0 +Fort Thomas,Graham County,Arizona,0 +Fort Thomas,Campbell County,Kentucky,0 +Fort Thompson,Buffalo County,South Dakota,0 +Fort Totten,Benson County,North Dakota,0 +Fort Towson,Choctaw County,Oklahoma,0 +Fort Valley,Peach County,Georgia,0 +Fort Valley,Shenandoah County,Virginia,0 +Fort Wainwright,Fairbanks North Star Borough,Alaska,0 +Fort Walton Beach,Okaloosa County,Florida,0 +Fort Washakie,Fremont County,Wyoming,0 +Fort Washington,Prince George's County,Maryland,0 +Fort Washington,Montgomery County,Pennsylvania,0 +Fort Wayne,Allen County,Indiana,0 +Fort White,Columbia County,Florida,0 +Fort Wingate,McKinley County,New Mexico,0 +Fort Worth,,Texas,0 +Fort Worth,Tarrant County,Texas,0 +Fort Yates,Sioux County,North Dakota,0 +Fort Yukon,Yukon-Koyukuk Census Area,Alaska,0 +Fortescue,Cumberland County,New Jersey,0 +Fortine,Lincoln County,Montana,0 +Fortson,Harris County,Georgia,0 +Fortuna,Humboldt County,California,0 +Fortuna,Morgan County,Missouri,0 +Fortuna,Divide County,North Dakota,0 +Fortville,Hancock County,Indiana,0 +Foss,Washita County,Oklahoma,0 +Fossil,Wheeler County,Oregon,0 +Fosston,Polk County,Minnesota,0 +Foster,Bracken County,Kentucky,0 +Foster,Bates County,Missouri,0 +Foster,Garvin County,Oklahoma,0 +Foster,Linn County,Oregon,0 +Foster,Providence County,Rhode Island,0 +Foster,Mathews County,Virginia,0 +Foster,Boone County,West Virginia,0 +Foster City,Dickinson County,Michigan,0 +Fosters,Tuscaloosa County,Alabama,0 +Fosterville,Rutherford County,Tennessee,0 +Fostoria,Clay County,Iowa,0 +Fostoria,Pottawatomie County,Kansas,0 +Fostoria,Tuscola County,Michigan,0 +Fostoria,Seneca County,Ohio,0 +Fouke,Miller County,Arkansas,0 +Fountain,El Paso County,Colorado,0 +Fountain,Bay County,Florida,0 +Fountain,Mason County,Michigan,0 +Fountain,Fillmore County,Minnesota,0 +Fountain,Pitt County,North Carolina,0 +Fountain City,Wayne County,Indiana,0 +Fountain City,Buffalo County,Wisconsin,0 +Fountain Green,Sanpete County,Utah,0 +Fountain Hill,Ashley County,Arkansas,0 +Fountain Hills,Maricopa County,Arizona,0 +Fountain Inn,Greenville County,South Carolina,0 +Fountain Run,Monroe County,Kentucky,0 +Fountain Valley,Orange County,California,0 +Fountaintown,Shelby County,Indiana,0 +Fountainville,Bucks County,Pennsylvania,0 +Four Corners,Weston County,Wyoming,0 +Four Lakes,Spokane County,Washington,0 +Four Oaks,Johnston County,North Carolina,0 +Four States,Marion County,West Virginia,0 +Fourmile,Bell County,Kentucky,0 +Fowler,Fresno County,California,0 +Fowler,Otero County,Colorado,0 +Fowler,Adams County,Illinois,0 +Fowler,Benton County,Indiana,0 +Fowler,Meade County,Kansas,0 +Fowler,Clinton County,Michigan,0 +Fowler,Trumbull County,Ohio,0 +Fowlerton,Grant County,Indiana,0 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County,New Hampshire,0 +Franconia,Montgomery County,Pennsylvania,0 +Frankenmuth,Saginaw County,Michigan,0 +Frankewing,Lincoln County,Tennessee,0 +Frankford,Sussex County,Delaware,0 +Frankford,Pike County,Missouri,0 +Frankford,Greenbrier County,West Virginia,0 +Frankfort,Will County,Illinois,0 +Frankfort,Clinton County,Indiana,0 +Frankfort,Marshall County,Kansas,0 +Frankfort,Franklin County,Kentucky,0 +Frankfort,Waldo County,Maine,0 +Frankfort,Benzie County,Michigan,0 +Frankfort,Herkimer County,New York,0 +Frankfort,Ross County,Ohio,0 +Frankfort,Spink County,South Dakota,0 +Frankfort Heights,Franklin County,Illinois,0 +Franklin,Monroe County,Alabama,0 +Franklin,Izard County,Arkansas,0 +Franklin,Heard County,Georgia,0 +Franklin,Franklin County,Idaho,0 +Franklin,Morgan County,Illinois,0 +Franklin,Johnson County,Indiana,0 +Franklin,Crawford County,Kansas,0 +Franklin,Simpson County,Kentucky,0 +Franklin,St. Mary Parish,Louisiana,0 +Franklin,Hancock County,Maine,0 +Franklin,Norfolk County,Massachusetts,0 +Franklin,Oakland County,Michigan,0 +Franklin,Renville County,Minnesota,0 +Franklin,Howard County,Missouri,0 +Franklin,Franklin County,Nebraska,0 +Franklin,Merrimack County,New Hampshire,0 +Franklin,Sussex County,New Jersey,0 +Franklin,Delaware County,New York,0 +Franklin,Macon County,North Carolina,0 +Franklin,Warren County,Ohio,0 +Franklin,Venango County,Pennsylvania,0 +Franklin,Williamson County,Tennessee,0 +Franklin,Robertson County,Texas,0 +Franklin,Franklin County,Vermont,0 +Franklin,Franklin city,Virginia,0 +Franklin,Pendleton County,West Virginia,0 +Franklin,Milwaukee County,Wisconsin,0 +Franklin Furnace,Scioto County,Ohio,0 +Franklin Grove,Lee County,Illinois,0 +Franklin Lakes,Bergen County,New Jersey,0 +Franklin Park,Cook County,Illinois,0 +Franklin Park,Somerset County,New Jersey,0 +Franklin Springs,Franklin County,Georgia,0 +Franklin Springs,Oneida County,New York,0 +Franklin Square,Nassau County,New York,0 +Franklinton,Washington Parish,Louisiana,0 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Union,Albemarle County,Virginia,0 +Freeborn,Freeborn County,Minnesota,0 +Freeburg,St. Clair County,Illinois,0 +Freeburg,Osage County,Missouri,0 +Freeburg,Snyder County,Pennsylvania,0 +Freeburn,Pike County,Kentucky,0 +Freedom,Santa Cruz County,California,0 +Freedom,Owen County,Indiana,0 +Freedom,Waldo County,Maine,0 +Freedom,Carroll County,New Hampshire,0 +Freedom,Cattaraugus County,New York,0 +Freedom,Woods County,Oklahoma,0 +Freedom,Beaver County,Pennsylvania,0 +Freedom,Outagamie County,Wisconsin,0 +Freedom,Lincoln County,Wyoming,0 +Freehold,Monmouth County,New Jersey,0 +Freehold,Greene County,New York,0 +Freeland,Baltimore County,Maryland,0 +Freeland,Saginaw County,Michigan,0 +Freeland,Luzerne County,Pennsylvania,0 +Freeland,Island County,Washington,0 +Freelandville,Knox County,Indiana,0 +Freeman,Cass County,Missouri,0 +Freeman,Hutchinson County,South Dakota,0 +Freeman,Brunswick County,Virginia,0 +Freeman,Mercer County,West Virginia,0 +Freeman Spur,Williamson County,Illinois,0 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County,West Virginia,0 +French Gulch,Shasta County,California,0 +French Lick,Orange County,Indiana,0 +French Settlement,Livingston Parish,Louisiana,0 +French Village,St. Francois County,Missouri,0 +Frenchboro,Hancock County,Maine,0 +Frenchburg,Menifee County,Kentucky,0 +Frenchglen,Harney County,Oregon,0 +Frenchmans Bayou,Mississippi County,Arkansas,0 +Frenchton,Upshur County,West Virginia,0 +Frenchtown,Missoula County,Montana,0 +Frenchtown,Hunterdon County,New Jersey,0 +Frenchville,Aroostook County,Maine,0 +Frenchville,Clearfield County,Pennsylvania,0 +Fresh Meadows,Queens County,New York,0 +Fresno,Fresno County,California,0 +Fresno,Coshocton County,Ohio,0 +Fresno,Fort Bend County,Texas,0 +Frewsburg,Chautauqua County,New York,0 +Friant,Fresno County,California,0 +Friars Point,Coahoma County,Mississippi,0 +Friday Harbor,San Juan County,Washington,0 +Friedens,Somerset County,Pennsylvania,0 +Friedensburg,Schuylkill County,Pennsylvania,0 +Friedheim,Cape Girardeau County,Missouri,0 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County,Minnesota,0 +Fulks Run,Rockingham County,Virginia,0 +Fullerton,Orange County,California,0 +Fullerton,Nance County,Nebraska,0 +Fullerton,Dickey County,North Dakota,0 +Fulshear,Fort Bend County,Texas,0 +Fulton,Clarke County,Alabama,0 +Fulton,Hempstead County,Arkansas,0 +Fulton,Sonoma County,California,0 +Fulton,Whiteside County,Illinois,0 +Fulton,Fulton County,Indiana,0 +Fulton,Bourbon County,Kansas,0 +Fulton,Fulton County,Kentucky,0 +Fulton,Howard County,Maryland,0 +Fulton,Kalamazoo County,Michigan,0 +Fulton,Itawamba County,Mississippi,0 +Fulton,Callaway County,Missouri,0 +Fulton,Oswego County,New York,0 +Fulton,Morrow County,Ohio,0 +Fulton,Hanson County,South Dakota,0 +Fulton,Aransas County,Texas,0 +Fultondale,Jefferson County,Alabama,0 +Fultonham,Schoharie County,New York,0 +Fultonham,Muskingum County,Ohio,0 +Fultonville,Montgomery County,New York,0 +Fults,Monroe County,Illinois,0 +Funk,Phelps County,Nebraska,0 +Funkstown,Washington County,Maryland,0 +Funston,Colquitt County,Georgia,0 +Fuquay Varina,Wake County,North Carolina,0 +Furlong,Bucks County,Pennsylvania,0 +Furman,Wilcox County,Alabama,0 +Furman,Hampton County,South Carolina,0 +Fyffe,DeKalb County,Alabama,0 +Gaastra,Iron County,Michigan,0 +Gabbs,Nye County,Nevada,0 +Gable,Sumter County,South Carolina,0 +Gabriels,Franklin County,New York,0 +Gackle,Logan County,North Dakota,0 +Gadsden,Etowah County,Alabama,0 +Gadsden,Yuma County,Arizona,0 +Gadsden,Richland County,South Carolina,0 +Gadsden,Crockett County,Tennessee,0 +Gaffney,Cherokee County,South Carolina,0 +Gage,Ellis County,Oklahoma,0 +Gagetown,Tuscola County,Michigan,0 +Gail,Borden County,Texas,0 +Gaines,Genesee County,Michigan,0 +Gaines,Tioga County,Pennsylvania,0 +Gainesboro,Jackson County,Tennessee,0 +Gainestown,Clarke County,Alabama,0 +Gainesville,Sumter County,Alabama,0 +Gainesville,Alachua County,Florida,0 +Gainesville,Hall County,Georgia,0 +Gainesville,Ozark County,Missouri,0 +Gainesville,Wyoming County,New York,0 +Gainesville,Cooke County,Texas,0 +Gainesville,Prince William County,Virginia,0 +Gaithersburg,Montgomery County,Maryland,0 +Gakona,Valdez-Cordova Census Area,Alaska,0 +Galata,Liberty County,Montana,0 +Galatia,Saline County,Illinois,0 +Galax,Galax city,Virginia,0 +Galena,Yukon-Koyukuk Census Area,Alaska,0 +Galena,Jo Daviess County,Illinois,0 +Galena,Cherokee County,Kansas,0 +Galena,Kent County,Maryland,0 +Galena,Stone County,Missouri,0 +Galena,Delaware County,Ohio,0 +Galena Park,Harris County,Texas,0 +Gales Creek,Washington County,Oregon,0 +Gales Ferry,New London County,Connecticut,0 +Galesburg,Knox County,Illinois,0 +Galesburg,Neosho County,Kansas,0 +Galesburg,Kalamazoo County,Michigan,0 +Galesburg,Traill County,North Dakota,0 +Galesville,Anne Arundel County,Maryland,0 +Galesville,Trempealeau County,Wisconsin,0 +Galeton,Weld County,Colorado,0 +Galeton,Potter County,Pennsylvania,0 +Galien,Berrien County,Michigan,0 +Galion,Crawford County,Ohio,0 +Galivants Ferry,Horry County,South Carolina,0 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County,Indiana,0 +Galveston,Galveston County,Texas,0 +Galvin,Lewis County,Washington,0 +Galway,Saratoga County,New York,0 +Gamaliel,Baxter County,Arkansas,0 +Gamaliel,Monroe County,Kentucky,0 +Gambell,Nome Census Area,Alaska,0 +Gambier,Knox County,Ohio,0 +Gambrills,Anne Arundel County,Maryland,0 +Gamerco,McKinley County,New Mexico,0 +Ganado,Apache County,Arizona,0 +Ganado,Jackson County,Texas,0 +Gandeeville,Roane County,West Virginia,0 +Gann Valley,Buffalo County,South Dakota,0 +Gans,Sequoyah County,Oklahoma,0 +Gans,Monongalia County,Pennsylvania,0 +Gansevoort,Saratoga County,New York,0 +Gantt,Covington County,Alabama,0 +Gap,Lancaster County,Pennsylvania,0 +Gap Mills,Monroe County,West Virginia,0 +Gapville,Magoffin County,Kentucky,0 +Garards Fort,Greene County,Pennsylvania,0 +Garber,Clayton County,Iowa,0 +Garber,Garfield County,Oklahoma,0 +Garberville,Humboldt County,California,0 +Garciasville,Starr County,Texas,0 +Garden,Delta County,Michigan,0 +Garden City,Cullman County,Alabama,0 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County,Illinois,0 +Gardner,Johnson County,Kansas,0 +Gardner,Rapides Parish,Louisiana,0 +Gardner,Worcester County,Massachusetts,0 +Gardner,Cass County,North Dakota,0 +Gardners,Cumberland County,Pennsylvania,0 +Gardnerville,Douglas County,Nevada,0 +Garfield,Benton County,Arkansas,0 +Garfield,Emanuel County,Georgia,0 +Garfield,Pawnee County,Kansas,0 +Garfield,Breckinridge County,Kentucky,0 +Garfield,Douglas County,Minnesota,0 +Garfield,Bergen County,New Jersey,0 +Garfield,Do�a Ana County,New Mexico,0 +Garfield,Whitman County,Washington,0 +Garibaldi,Tillamook County,Oregon,0 +Garita,San Miguel County,New Mexico,0 +Garland,Bourbon County,Kansas,0 +Garland,Penobscot County,Maine,0 +Garland,Seward County,Nebraska,0 +Garland,Sampson County,North Carolina,0 +Garland,Warren County,Pennsylvania,0 +Garland,Dallas County,Texas,0 +Garland,Box Elder County,Utah,0 +Garland City,Miller County,Arkansas,0 +Garnavillo,Clayton County,Iowa,0 +Garner,White County,Arkansas,0 +Garner,Hancock County,Iowa,0 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County,Montana,0 +Garvin,Lyon County,Minnesota,0 +Garvin,McCurtain County,Oklahoma,0 +Garwin,Tama County,Iowa,0 +Garwood,Union County,New Jersey,0 +Garwood,Colorado County,Texas,0 +Gary,Lake County,Indiana,0 +Gary,Norman County,Minnesota,0 +Gary,Deuel County,South Dakota,0 +Gary,Panola County,Texas,0 +Gary,McDowell County,West Virginia,0 +Garysburg,Northampton County,North Carolina,0 +Garyville,St. John the Baptist Parish,Louisiana,0 +Gas,Allen County,Kansas,0 +Gas City,Grant County,Indiana,0 +Gasburg,Brunswick County,Virginia,0 +Gasconade,Gasconade County,Missouri,0 +Gasport,Niagara County,New York,0 +Gasquet,Del Norte County,California,0 +Gassaway,Braxton County,West Virginia,0 +Gassville,Baxter County,Arkansas,0 +Gaston,Delaware County,Indiana,0 +Gaston,Northampton County,North Carolina,0 +Gaston,Washington County,Oregon,0 +Gaston,Lexington County,South Carolina,0 +Gastonia,Gaston County,North Carolina,0 +Gastonville,Washington County,Pennsylvania,0 +Gate,Beaver County,Oklahoma,0 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County,Wisconsin,0 +Graham,Randolph County,Alabama,0 +Graham,Bradford County,Florida,0 +Graham,Muhlenberg County,Kentucky,0 +Graham,Nodaway County,Missouri,0 +Graham,Alamance County,North Carolina,0 +Graham,Carter County,Oklahoma,0 +Graham,Young County,Texas,0 +Graham,Pierce County,Washington,0 +Grahamsville,Sullivan County,New York,0 +Grahn,Carter County,Kentucky,0 +Grain Valley,Jackson County,Missouri,0 +Grainfield,Gove County,Kansas,0 +Grambling,Lincoln Parish,Louisiana,0 +Gramercy,St. James Parish,Louisiana,0 +Gramling,Spartanburg County,South Carolina,0 +Grammer,Bartholomew County,Indiana,0 +Grampian,Clearfield County,Pennsylvania,0 +Granada,Prowers County,Colorado,0 +Granada,Martin County,Minnesota,0 +Granada Hills,Los Angeles County,California,0 +Granbury,Hood County,Texas,0 +Granby,Grand County,Colorado,0 +Granby,Hartford County,Connecticut,0 +Granby,Hampshire County,Massachusetts,0 +Granby,Newton County,Missouri,0 +Granby,Essex County,Vermont,0 +Grand Bay,Mobile 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County,Missouri,0 +Grandin,Cass County,North Dakota,0 +Grandview,Spencer County,Indiana,0 +Grandview,Louisa County,Iowa,0 +Grandview,Jackson County,Missouri,0 +Grandview,Rhea County,Tennessee,0 +Grandview,Johnson County,Texas,0 +Grandview,Yakima County,Washington,0 +Grandville,Kent County,Michigan,0 +Grandy,Isanti County,Minnesota,0 +Grandy,Currituck County,North Carolina,0 +Granger,St. Joseph County,Indiana,0 +Granger,Dallas County,Iowa,0 +Granger,Scotland County,Missouri,0 +Granger,Williamson County,Texas,0 +Granger,Yakima County,Washington,0 +Granger,Sweetwater County,Wyoming,0 +Grangeville,Idaho County,Idaho,0 +Granite,Lake County,Colorado,0 +Granite,Greer County,Oklahoma,0 +Granite Bay,Placer County,California,0 +Granite Canon,Laramie County,Wyoming,0 +Granite City,Madison County,Illinois,0 +Granite Falls,Yellow Medicine County,Minnesota,0 +Granite Falls,Caldwell County,North Carolina,0 +Granite Falls,Snohomish County,Washington,0 +Granite Quarry,Rowan County,North Carolina,0 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County,Utah,0 +Grantsville,Calhoun County,West Virginia,0 +Grantville,Coweta County,Georgia,0 +Grantville,Jefferson County,Kansas,0 +Grantville,Dauphin County,Pennsylvania,0 +Granville,Putnam County,Illinois,0 +Granville,Sioux County,Iowa,0 +Granville,Hampden County,Massachusetts,0 +Granville,Washington County,New York,0 +Granville,McHenry County,North Dakota,0 +Granville,Licking County,Ohio,0 +Granville,Mifflin County,Pennsylvania,0 +Granville,Jackson County,Tennessee,0 +Granville,Addison County,Vermont,0 +Granville,Monongalia County,West Virginia,0 +Granville Summit,Bradford County,Pennsylvania,0 +Grapeland,Houston County,Texas,0 +Grapeview,Mason County,Washington,0 +Grapeville,Westmoreland County,Pennsylvania,0 +Grapevine,Grant County,Arkansas,0 +Grapevine,Tarrant County,Texas,0 +Grasonville,Queen Anne's County,Maryland,0 +Grass Creek,Fulton County,Indiana,0 +Grass Lake,Jackson County,Michigan,0 +Grass Range,Fergus County,Montana,0 +Grass Valley,Nevada County,California,0 +Grass Valley,Sherman County,Oregon,0 +Grassflat,Clearfield County,Pennsylvania,0 +Grasston,Pine County,Minnesota,0 +Grassy Butte,McKenzie County,North Dakota,0 +Grassy Creek,Ashe County,North Carolina,0 +Grassy Meadows,Greenbrier County,West Virginia,0 +Gratiot,Licking County,Ohio,0 +Gratiot,Lafayette County,Wisconsin,0 +Gratis,Preble County,Ohio,0 +Graton,Sonoma County,California,0 +Gratz,Dauphin County,Pennsylvania,0 +Gravel Switch,Marion County,Kentucky,0 +Gravelly,Yell County,Arkansas,0 +Graves Mill,Madison County,Virginia,0 +Gravette,Benton County,Arkansas,0 +Gravity,Taylor County,Iowa,0 +Gravois Mills,Morgan County,Missouri,0 +Grawn,Grand Traverse County,Michigan,0 +Gray,Jones County,Georgia,0 +Gray,Audubon County,Iowa,0 +Gray,Knox County,Kentucky,0 +Gray,Terrebonne Parish,Louisiana,0 +Gray,Cumberland County,Maine,0 +Gray,Somerset County,Pennsylvania,0 +Gray Court,Laurens County,South Carolina,0 +Gray Hawk,Jackson County,Kentucky,0 +Gray Mountain,Coconino County,Arizona,0 +Gray Summit,Franklin County,Missouri,0 +Grayland,Grays Harbor County,Washington,0 +Grayling,Yukon-Koyukuk Census Area,Alaska,0 +Grayling,Crawford County,Michigan,0 +Graymont,Livingston County,Illinois,0 +Grayridge,Stoddard County,Missouri,0 +Grays Knob,Harlan County,Kentucky,0 +Grays River,Wahkiakum County,Washington,0 +Grayslake,Lake County,Illinois,0 +Grayson,Gwinnett County,Georgia,0 +Grayson,Carter County,Kentucky,0 +Grayson,Caldwell Parish,Louisiana,0 +Graysville,Jefferson County,Alabama,0 +Graysville,Catoosa County,Georgia,0 +Graysville,Sullivan County,Indiana,0 +Graysville,Monroe County,Ohio,0 +Graysville,Greene County,Pennsylvania,0 +Graysville,Rhea County,Tennessee,0 +Graytown,Ottawa County,Ohio,0 +Grayville,White County,Illinois,0 +Great Barrington,Berkshire County,Massachusetts,0 +Great Bend,Barton County,Kansas,0 +Great Bend,Jefferson County,New York,0 +Great Bend,Susquehanna County,Pennsylvania,0 +Great Cacapon,Morgan County,West Virginia,0 +Great Falls,Cascade County,Montana,0 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County,Massachusetts,0 +Green Isle,Sibley County,Minnesota,0 +Green Lake,Green Lake County,Wisconsin,0 +Green Lane,Montgomery County,Pennsylvania,0 +Green Mountain,Yancey County,North Carolina,0 +Green Mountain Falls,El Paso County,Colorado,0 +Green Pond,Bibb County,Alabama,0 +Green Pond,Colleton County,South Carolina,0 +Green Ridge,Pettis County,Missouri,0 +Green River,Emery County,Utah,0 +Green River,Sweetwater County,Wyoming,0 +Green Road,Knox County,Kentucky,0 +Green Sea,Horry County,South Carolina,0 +Green Spring,Hampshire County,West Virginia,0 +Green Springs,Seneca County,Ohio,0 +Green Sulphur Springs,Summers County,West Virginia,0 +Green Valley,Pima County,Arizona,0 +Green Valley,Tazewell County,Illinois,0 +Green Valley,Shawano County,Wisconsin,0 +Green Valley Lake,San Bernardino County,California,0 +Green Village,Morris County,New Jersey,0 +Greenacres,Palm Beach County,Florida,0 +Greenacres,Spokane County,Washington,0 +Greenback,Loudon County,Tennessee,0 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County,Maryland,0 +Greensboro,Guilford County,North Carolina,0 +Greensboro,Greene County,Pennsylvania,0 +Greensboro,Orleans County,Vermont,0 +Greensboro Bend,Orleans County,Vermont,0 +Greensburg,Decatur County,Indiana,0 +Greensburg,Kiowa County,Kansas,0 +Greensburg,Green County,Kentucky,0 +Greensburg,St. Helena Parish,Louisiana,0 +Greensburg,Westmoreland County,Pennsylvania,0 +Greentop,Adair County,Missouri,0 +Greentown,Howard County,Indiana,0 +Greentown,Stark County,Ohio,0 +Greentown,Pike County,Pennsylvania,0 +Greenup,Cumberland County,Illinois,0 +Greenup,Greenup County,Kentucky,0 +Greenvale,Nassau County,New York,0 +Greenview,Siskiyou County,California,0 +Greenview,Menard County,Illinois,0 +Greenville,Butler County,Alabama,0 +Greenville,Plumas County,California,0 +Greenville,Madison County,Florida,0 +Greenville,Meriwether County,Georgia,0 +Greenville,Bond County,Illinois,0 +Greenville,Floyd County,Indiana,0 +Greenville,Clay County,Iowa,0 +Greenville,Muhlenberg County,Kentucky,0 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County,Kansas,0 +Greenwich,Cumberland County,New Jersey,0 +Greenwich,Washington County,New York,0 +Greenwich,Huron County,Ohio,0 +Greenwich,Piute County,Utah,0 +Greenwood,Sebastian County,Arkansas,0 +Greenwood,El Dorado County,California,0 +Greenwood,Sussex County,Delaware,0 +Greenwood,Jackson County,Florida,0 +Greenwood,Johnson County,Indiana,0 +Greenwood,Caddo Parish,Louisiana,0 +Greenwood,Oxford County,Maine,0 +Greenwood,Leflore County,Mississippi,0 +Greenwood,Jackson County,Missouri,0 +Greenwood,Cass County,Nebraska,0 +Greenwood,Steuben County,New York,0 +Greenwood,Greenwood County,South Carolina,0 +Greenwood,Wise County,Texas,0 +Greenwood,Albemarle County,Virginia,0 +Greenwood,Clark County,Wisconsin,0 +Greenwood Lake,Orange County,New York,0 +Greenwood Springs,Monroe County,Mississippi,0 +Greer,Apache County,Arizona,0 +Greer,Greenville County,South Carolina,0 +Greer,Spartanburg County,South Carolina,0 +Gregory,Woodruff County,Arkansas,0 +Gregory,Livingston County,Michigan,0 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County,Vermont,0 +Grottoes,Rockingham County,Virginia,0 +Grouse Creek,Box Elder County,Utah,0 +Grove,Delaware County,Oklahoma,0 +Grove City,Meeker County,Minnesota,0 +Grove City,Franklin County,Ohio,0 +Grove City,Mercer County,Pennsylvania,0 +Grove Hill,Clarke County,Alabama,0 +Groveland,Tuolumne County,California,0 +Groveland,Lake County,Florida,0 +Groveland,Tazewell County,Illinois,0 +Groveland,Essex County,Massachusetts,0 +Groveland,Livingston County,New York,0 +Groveoak,DeKalb County,Alabama,0 +Groveport,Franklin County,Ohio,0 +Grover,Weld County,Colorado,0 +Grover,St. Louis County,Missouri,0 +Grover,Cleveland County,North Carolina,0 +Grover,Bradford County,Pennsylvania,0 +Grover,Dorchester County,South Carolina,0 +Grover,Lincoln County,Wyoming,0 +Grover Beach,San Luis Obispo County,California,0 +Grover Hill,Paulding County,Ohio,0 +Grovertown,Starke County,Indiana,0 +Groves,Jefferson County,Texas,0 +Grovespring,Wright County,Missouri,0 +Groveton,Coos County,New Hampshire,0 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County,Colorado,0 +Guide Rock,Webster County,Nebraska,0 +Guild,Sullivan County,New Hampshire,0 +Guild,Marion County,Tennessee,0 +Guilderland,Albany County,New York,0 +Guilderland Center,Albany County,New York,0 +Guildhall,Essex County,Vermont,0 +Guilford,New Haven County,Connecticut,0 +Guilford,Dearborn County,Indiana,0 +Guilford,Piscataquis County,Maine,0 +Guilford,Nodaway County,Missouri,0 +Guilford,Chenango County,New York,0 +Guin,Marion County,Alabama,0 +Guinda,Yolo County,California,0 +Guion,Izard County,Arkansas,0 +Gulf,Chatham County,North Carolina,0 +Gulf Breeze,Santa Rosa County,Florida,0 +Gulf Hammock,Levy County,Florida,0 +Gulf Shores,Baldwin County,Alabama,0 +Gulfport,Harrison County,Mississippi,0 +Gulliver,Schoolcraft County,Michigan,0 +Gully,Polk County,Minnesota,0 +Gulston,Harlan County,Kentucky,0 +Gum Spring,Goochland County,Virginia,0 +Gunlock,Magoffin County,Kentucky,0 +Gunlock,Washington County,Utah,0 +Gunnison,Gunnison County,Colorado,0 +Gunnison,Bolivar County,Mississippi,0 +Gunnison,Sanpete County,Utah,0 +Gunpowder,Harford County,Maryland,0 +Gunter,Grayson County,Texas,0 +Guntersville,Marshall County,Alabama,0 +Guntown,Lee County,Mississippi,0 +Gurabo,Gurabo Municipio,Puerto Rico,0 +Gurdon,Clark County,Arkansas,0 +Gurley,Madison County,Alabama,0 +Gurley,Cheyenne County,Nebraska,0 +Gurnee,Lake County,Illinois,0 +Gustavus,Hoonah-Angoon Census Area,Alaska,0 +Gustine,Merced County,California,0 +Gustine,Comanche County,Texas,0 +Guston,Meade County,Kentucky,0 +Guthrie,Todd County,Kentucky,0 +Guthrie,Logan County,Oklahoma,0 +Guthrie,King County,Texas,0 +Guthrie Center,Guthrie County,Iowa,0 +Guttenberg,Clayton County,Iowa,0 +Guy,Faulkner County,Arkansas,0 +Guy,Fort Bend County,Texas,0 +Guymon,Texas County,Oklahoma,0 +Guys,McNairy County,Tennessee,0 +Guys Mills,Crawford County,Pennsylvania,0 +Guysville,Athens County,Ohio,0 +Guyton,Effingham County,Georgia,0 +Gwinn,Marquette County,Michigan,0 +Gwinner,Sargent County,North Dakota,0 +Gwynedd,Montgomery County,Pennsylvania,0 +Gwynedd Valley,Montgomery County,Pennsylvania,0 +Gwynn,Mathews County,Virginia,0 +Gwynn Oak,Baltimore County,Maryland,0 +Gwynneville,Shelby County,Indiana,0 +Gypsum,Eagle County,Colorado,0 +Gypsum,Saline County,Kansas,0 +Gypsum,Ottawa County,Ohio,0 +Gypsy,Harrison County,West Virginia,0 +Habersham,Habersham County,Georgia,0 +Hachita,Grant County,New Mexico,0 +Hacienda Heights,Los Angeles County,California,0 +Hackberry,Mohave County,Arizona,0 +Hackberry,Cameron Parish,Louisiana,0 +Hackensack,Cass County,Minnesota,0 +Hackensack,Bergen County,New Jersey,0 +Hacker Valley,Webster County,West Virginia,0 +Hackett,Sebastian County,Arkansas,0 +Hackettstown,Warren County,New Jersey,0 +Hackleburg,Marion County,Alabama,0 +Hacksneck,Accomack County,Virginia,0 +Hadar,Pierce County,Nebraska,0 +Haddam,Middlesex County,Connecticut,0 +Haddam,Washington County,Kansas,0 +Haddock,Jones County,Georgia,0 +Haddon Heights,Camden County,New Jersey,0 +Haddonfield,Camden County,New Jersey,0 +Hadensville,Goochland County,Virginia,0 +Hadley,Hampshire County,Massachusetts,0 +Hadley,Lapeer County,Michigan,0 +Hadley,Saratoga County,New York,0 +Hadley,Mercer County,Pennsylvania,0 +Hadlyme,New London County,Connecticut,0 +Hagaman,Montgomery County,New York,0 +Hagan,Evans County,Georgia,0 +Hagar Shores,Berrien County,Michigan,0 +Hagarstown,Fayette County,Illinois,0 +Hagarville,Johnson County,Arkansas,0 +Hager City,Pierce County,Wisconsin,0 +Hagerhill,Johnson County,Kentucky,0 +Hagerman,Gooding County,Idaho,0 +Hagerman,Chaves County,New Mexico,0 +Hagerstown,Wayne County,Indiana,0 +Hagerstown,Washington County,Maryland,0 +Hague,Warren County,New York,0 +Hague,Emmons County,North Dakota,0 +Hague,Westmoreland County,Virginia,0 +Hahira,Lowndes County,Georgia,0 +Hahnville,St. Charles Parish,Louisiana,0 +Haigler,Dundy County,Nebraska,0 +Haiku,Maui County,Hawaii,0 +Hailesboro,St Lawrence County,New York,0 +Hailey,Blaine County,Idaho,0 +Haileyville,Pittsburg County,Oklahoma,0 +Haines,Haines Borough,Alaska,0 +Haines,Baker County,Oregon,0 +Haines City,Polk County,Florida,0 +Haines Falls,Greene County,New York,0 +Hainesport,Burlington County,New Jersey,0 +Hakalau,Hawaii County,Hawaii,0 +Halbur,Carroll County,Iowa,0 +Halcottsville,Delaware County,New York,0 +Hale,Iosco County,Michigan,0 +Hale,Carroll County,Missouri,0 +Hale Center,Hale County,Texas,0 +Haledon,Passaic County,New Jersey,0 +Haleiwa,Honolulu County,Hawaii,0 +Hales Corners,Milwaukee County,Wisconsin,0 +Halethorpe,Baltimore County,Maryland,0 +Haleyville,Winston County,Alabama,0 +Half Moon Bay,San Mateo County,California,0 +Half Way,Polk County,Missouri,0 +Halfway,Baker County,Oregon,0 +Halifax,Plymouth County,Massachusetts,0 +Halifax,Halifax County,North Carolina,0 +Halifax,Dauphin County,Pennsylvania,0 +Halifax,Halifax County,Virginia,0 +Hall,Granite County,Montana,0 +Hall,Ontario County,New York,0 +Hall Summit,Red River Parish,Louisiana,0 +Hallam,Lancaster County,Nebraska,0 +Hallandale,Broward County,Florida,0 +Halleck,Elko County,Nevada,0 +Hallett,Pawnee County,Oklahoma,0 +Hallettsville,Lavaca County,Texas,0 +Halliday,Dunn County,North Dakota,0 +Hallie,Letcher County,Kentucky,0 +Hallieford,Mathews County,Virginia,0 +Hallock,Kittson County,Minnesota,0 +Hallowell,Kennebec County,Maine,0 +Halls,Lauderdale County,Tennessee,0 +Hallsboro,Columbus County,North Carolina,0 +Hallstead,Susquehanna County,Pennsylvania,0 +Hallsville,Boone County,Missouri,0 +Hallsville,Ross County,Ohio,0 +Hallsville,Harrison County,Texas,0 +Halltown,Lawrence County,Missouri,0 +Halltown,Jefferson County,West Virginia,0 +Hallwood,Accomack County,Virginia,0 +Halma,Kittson County,Minnesota,0 +Halsey,Thomas County,Nebraska,0 +Halsey,Linn County,Oregon,0 +Halstad,Norman County,Minnesota,0 +Halstead,Harvey County,Kansas,0 +Haltom City,Tarrant County,Texas,0 +Hambleton,Tucker County,West Virginia,0 +Hamburg,Ashley County,Arkansas,0 +Hamburg,Calhoun County,Illinois,0 +Hamburg,Fremont County,Iowa,0 +Hamburg,Avoyelles Parish,Louisiana,0 +Hamburg,Livingston County,Michigan,0 +Hamburg,Carver County,Minnesota,0 +Hamburg,Sussex County,New Jersey,0 +Hamburg,Erie County,New York,0 +Hamburg,Berks County,Pennsylvania,0 +Hamden,New Haven County,Connecticut,0 +Hamden,Delaware County,New York,0 +Hamden,Vinton County,Ohio,0 +Hamel,Madison County,Illinois,0 +Hamel,Hennepin County,Minnesota,0 +Hamer,Jefferson County,Idaho,0 +Hamer,Dillon County,South Carolina,0 +Hamersville,Brown County,Ohio,0 +Hamill,Tripp County,South Dakota,0 +Hamilton,Marion County,Alabama,0 +Hamilton,Moffat County,Colorado,0 +Hamilton,Harris County,Georgia,0 +Hamilton,Hancock County,Illinois,0 +Hamilton,Steuben County,Indiana,0 +Hamilton,Marion County,Iowa,0 +Hamilton,Greenwood County,Kansas,0 +Hamilton,Essex County,Massachusetts,0 +Hamilton,Allegan County,Michigan,0 +Hamilton,Monroe County,Mississippi,0 +Hamilton,Caldwell County,Missouri,0 +Hamilton,Ravalli County,Montana,0 +Hamilton,Madison County,New York,0 +Hamilton,Martin County,North Carolina,0 +Hamilton,Pembina County,North Dakota,0 +Hamilton,Butler County,Ohio,0 +Hamilton,Jefferson County,Pennsylvania,0 +Hamilton,Hamilton County,Texas,0 +Hamilton,Loudoun County,Virginia,0 +Hamilton,Skagit County,Washington,0 +Hamilton City,Glenn County,California,0 +Hamler,Henry County,Ohio,0 +Hamlet,Starke County,Indiana,0 +Hamlet,Richmond County,North Carolina,0 +Hamlin,Audubon County,Iowa,0 +Hamlin,Monroe County,New York,0 +Hamlin,Wayne County,Pennsylvania,0 +Hamlin,Jones County,Texas,0 +Hamlin,Lincoln County,West Virginia,0 +Hammett,Elmore County,Idaho,0 +Hammon,Roger Mills County,Oklahoma,0 +Hammond,Piatt County,Illinois,0 +Hammond,Lake County,Indiana,0 +Hammond,Tangipahoa Parish,Louisiana,0 +Hammond,Carter County,Montana,0 +Hammond,St. Lawrence County,New York,0 +Hammond,Clatsop County,Oregon,0 +Hammond,St. Croix County,Wisconsin,0 +Hammondsport,Steuben County,New York,0 +Hammondsville,Jefferson County,Ohio,0 +Hammonton,Atlantic County,New Jersey,0 +Hampden,Penobscot County,Maine,0 +Hampden,Hampden County,Massachusetts,0 +Hampden,Ramsey County,North Dakota,0 +Hampden Sydney,Prince Edward County,Virginia,0 +Hampshire,Kane County,Illinois,0 +Hampshire,Maury County,Tennessee,0 +Hampstead,Carroll County,Maryland,0 +Hampstead,Rockingham County,New Hampshire,0 +Hampstead,Pender County,North Carolina,0 +Hampton,Calhoun County,Arkansas,0 +Hampton,Windham County,Connecticut,0 +Hampton,Bradford County,Florida,0 +Hampton,Henry County,Georgia,0 +Hampton,Rock Island County,Illinois,0 +Hampton,Franklin County,Iowa,0 +Hampton,Livingston County,Kentucky,0 +Hampton,Dakota County,Minnesota,0 +Hampton,Hamilton County,Nebraska,0 +Hampton,Rockingham County,New Hampshire,0 +Hampton,Hunterdon County,New Jersey,0 +Hampton,Washington County,New York,0 +Hampton,Hampton County,South Carolina,0 +Hampton,Carter County,Tennessee,0 +Hampton,Hampton City,Virginia,0 +Hampton,Hampton city,Virginia,0 +Hampton,York County,Virginia,0 +Hampton Bays,Suffolk County,New York,0 +Hampton Falls,Rockingham County,New Hampshire,0 +Hamptonville,Yadkin County,North Carolina,0 +Hamshire,Jefferson County,Texas,0 +Hamtramck,Wayne County,Michigan,0 +Hana,Maui County,Hawaii,0 +Hanahan,Berkeley County,South Carolina,0 +Hanalei,Kauai County,Hawaii,0 +Hanamaulu,Kauai County,Hawaii,0 +Hanapepe,Kauai County,Hawaii,0 +Hanceville,Cullman County,Alabama,0 +Hancock,Pottawattamie County,Iowa,0 +Hancock,Hancock County,Maine,0 +Hancock,Washington County,Maryland,0 +Hancock,Houghton County,Michigan,0 +Hancock,Stevens County,Minnesota,0 +Hancock,Hillsborough County,New Hampshire,0 +Hancock,Delaware County,New York,0 +Hancock,Addison County,Vermont,0 +Hancock,Waushara County,Wisconsin,0 +Hancocks Bridge,Salem County,New Jersey,0 +Handley,Kanawha County,West Virginia,0 +Hanford,Kings County,California,0 +Hankamer,Chambers County,Texas,0 +Hankins,Sullivan County,New York,0 +Hankinson,Richland County,North Dakota,0 +Hanksville,Wayne County,Utah,0 +Hanley Falls,Yellow Medicine County,Minnesota,0 +Hanlontown,Worth County,Iowa,0 +Hanna,LaPorte County,Indiana,0 +Hanna,McIntosh County,Oklahoma,0 +Hanna,Duchesne County,Utah,0 +Hanna,Carbon County,Wyoming,0 +Hanna City,Peoria County,Illinois,0 +Hannacroix,Greene County,New York,0 +Hannaford,Griggs County,North Dakota,0 +Hannah,Cavalier County,North Dakota,0 +Hannastown,Westmoreland County,Pennsylvania,0 +Hannawa Falls,St. Lawrence County,New York,0 +Hannibal,Marion County,Missouri,0 +Hannibal,Oswego County,New York,0 +Hannibal,Monroe County,Ohio,0 +Hannibal,Taylor County,Wisconsin,0 +Hanover,New London County,Connecticut,0 +Hanover,Jo Daviess County,Illinois,0 +Hanover,Jefferson County,Indiana,0 +Hanover,Washington County,Kansas,0 +Hanover,Oxford County,Maine,0 +Hanover,Anne Arundel County,Maryland,0 +Hanover,Plymouth County,Massachusetts,0 +Hanover,Jackson County,Michigan,0 +Hanover,Wright County,Minnesota,0 +Hanover,Grafton County,New Hampshire,0 +Hanover,Grant County,New Mexico,0 +Hanover,York County,Pennsylvania,0 +Hanover,Hanover County,Virginia,0 +Hanover,Wyoming County,West Virginia,0 +Hanover,Rock County,Wisconsin,0 +Hanover Park,Cook County,Illinois,0 +Hanoverton,Columbiana County,Ohio,0 +Hansboro,Towner County,North Dakota,0 +Hanscom Afb,Middlesex County,Massachusetts,0 +Hansen,Twin Falls County,Idaho,0 +Hansford,Kanawha County,West Virginia,0 +Hanska,Brown County,Minnesota,0 +Hanson,Hopkins County,Kentucky,0 +Hanson,Plymouth County,Massachusetts,0 +Hanston,Hodgeman County,Kansas,0 +Hansville,Kitsap County,Washington,0 +Happy,Perry County,Kentucky,0 +Happy,Swisher County,Texas,0 +Happy Camp,Siskiyou County,California,0 +Happy Jack,Coconino County,Arizona,0 +Happy Valley,Clackamas County,Oregon,0 +Haralson,Coweta County,Georgia,0 +Harbert,Berrien County,Michigan,0 +Harbeson,Sussex County,Delaware,0 +Harbinger,Currituck County,North Carolina,0 +Harbor Beach,Huron County,Michigan,0 +Harbor City,Los Angeles County,California,0 +Harbor Springs,Emmet County,Michigan,0 +Harbor View,Lucas County,Ohio,0 +Harborcreek,Erie County,Pennsylvania,0 +Harborside,Hancock County,Maine,0 +Harborton,Accomack County,Virginia,0 +Harcourt,Webster County,Iowa,0 +Hardaway,Macon County,Alabama,0 +Hardburly,Perry County,Kentucky,0 +Hardeeville,Jasper County,South Carolina,0 +Hardenville,Ozark County,Missouri,0 +Hardesty,Texas County,Oklahoma,0 +Hardin,Calhoun County,Illinois,0 +Hardin,Marshall County,Kentucky,0 +Hardin,Ray County,Missouri,0 +Hardin,Big Horn County,Montana,0 +Hardin,Liberty County,Texas,0 +Hardinsburg,Washington County,Indiana,0 +Hardinsburg,Breckinridge County,Kentucky,0 +Hardtner,Barber County,Kansas,0 +Hardwick,Baldwin County,Georgia,0 +Hardwick,Worcester County,Massachusetts,0 +Hardwick,Rock County,Minnesota,0 +Hardwick,Caledonia County,Vermont,0 +Hardy,Sharp County,Arkansas,0 +Hardy,Humboldt County,Iowa,0 +Hardy,Pike County,Kentucky,0 +Hardy,Nuckolls County,Nebraska,0 +Hardy,Franklin County,Virginia,0 +Hardyville,Hart County,Kentucky,0 +Hardyville,Middlesex County,Virginia,0 +Harford,Cortland County,New York,0 +Harford,Susquehanna County,Pennsylvania,0 +Hargill,Hidalgo County,Texas,0 +Harker Heights,Bell County,Texas,0 +Harkers Island,Carteret County,North Carolina,0 +Harlan,Allen County,Indiana,0 +Harlan,Shelby County,Iowa,0 +Harlan,Harlan County,Kentucky,0 +Harleigh,Luzerne County,Pennsylvania,0 +Harlem,Columbia County,Georgia,0 +Harlem,Blaine County,Montana,0 +Harlem Springs,Carroll County,Ohio,0 +Harleton,Harrison County,Texas,0 +Harleysville,Montgomery County,Pennsylvania,0 +Harleyville,Dorchester County,South Carolina,0 +Harlingen,Cameron County,Texas,0 +Harlowton,Wheatland County,Montana,0 +Harman,Randolph County,West Virginia,0 +Harmans,Anne Arundel County,Maryland,0 +Harmon,Lee County,Illinois,0 +Harmonsburg,Crawford County,Pennsylvania,0 +Harmony,San Luis Obispo County,California,0 +Harmony,Clay County,Indiana,0 +Harmony,Somerset County,Maine,0 +Harmony,Fillmore County,Minnesota,0 +Harmony,Iredell County,North Carolina,0 +Harmony,Butler County,Pennsylvania,0 +Harmony,Providence County,Rhode Island,0 +Harned,Breckinridge County,Kentucky,0 +Harold,Floyd County,Kentucky,0 +Harper,Keokuk County,Iowa,0 +Harper,Harper County,Kansas,0 +Harper,Malheur County,Oregon,0 +Harper,Gillespie County,Texas,0 +Harper,Raleigh County,West Virginia,0 +Harper Woods,Wayne County,Michigan,0 +Harpers Ferry,Allamakee County,Iowa,0 +Harpers Ferry,Jefferson County,West Virginia,0 +Harpersfield,Delaware County,New York,0 +Harpersville,Shelby County,Alabama,0 +Harperville,Scott County,Mississippi,0 +Harpster,Wyandot County,Ohio,0 +Harpswell,Cumberland County,Maine,0 +Harpursville,Broome County,New York,0 +Harrah,Oklahoma County,Oklahoma,0 +Harrah,Yakima County,Washington,0 +Harrell,Calhoun County,Arkansas,0 +Harrells,Sampson County,North Carolina,0 +Harrellsville,Hertford County,North Carolina,0 +Harriet,Searcy County,Arkansas,0 +Harrietta,Wexford County,Michigan,0 +Harriman,Orange County,New York,0 +Harriman,Roane County,Tennessee,0 +Harrington,Kent County,Delaware,0 +Harrington,Washington County,Maine,0 +Harrington,Lincoln County,Washington,0 +Harrington Park,Bergen County,New Jersey,0 +Harris,Osceola County,Iowa,0 +Harris,Menominee County,Michigan,0 +Harris,Chisago County,Minnesota,0 +Harris,Sullivan County,Missouri,0 +Harris,Sullivan County,New York,0 +Harris,Rutherford County,North Carolina,0 +Harrisburg,Poinsett County,Arkansas,0 +Harrisburg,Saline County,Illinois,0 +Harrisburg,Boone County,Missouri,0 +Harrisburg,Banner County,Nebraska,0 +Harrisburg,Cabarrus County,North Carolina,0 +Harrisburg,Franklin County,Ohio,0 +Harrisburg,Linn County,Oregon,0 +Harrisburg,Dauphin County,Pennsylvania,0 +Harrisburg,Lincoln County,South Dakota,0 +Harrison,Boone County,Arkansas,0 +Harrison,Washington County,Georgia,0 +Harrison,Kootenai County,Idaho,0 +Harrison,Cumberland County,Maine,0 +Harrison,Clare County,Michigan,0 +Harrison,Madison County,Montana,0 +Harrison,Sioux County,Nebraska,0 +Harrison,Hudson County,New Jersey,0 +Harrison,Westchester County,New York,0 +Harrison,Hamilton County,Ohio,0 +Harrison,Douglas County,South Dakota,0 +Harrison,Hamilton County,Tennessee,0 +Harrison City,Westmoreland County,Pennsylvania,0 +Harrison Township,Macomb County,Michigan,0 +Harrison Valley,Potter County,Pennsylvania,0 +Harrisonburg,Catahoula Parish,Louisiana,0 +Harrisonburg,Harrisonburg City,Virginia,0 +Harrisonburg,Harrisonburg city,Virginia,0 +Harrisonville,Cass County,Missouri,0 +Harrisonville,Gloucester County,New Jersey,0 +Harrisonville,Fulton County,Pennsylvania,0 +Harriston,Jefferson County,Mississippi,0 +Harristown,Macon County,Illinois,0 +Harrisville,Alcona County,Michigan,0 +Harrisville,Simpson County,Mississippi,0 +Harrisville,Cheshire County,New Hampshire,0 +Harrisville,Lewis County,New York,0 +Harrisville,Harrison County,Ohio,0 +Harrisville,Butler County,Pennsylvania,0 +Harrisville,Providence County,Rhode Island,0 +Harrisville,Ritchie County,West Virginia,0 +Harrod,Allen County,Ohio,0 +Harrods Creek,Jefferson County,Kentucky,0 +Harrodsburg,Monroe County,Indiana,0 +Harrodsburg,Mercer County,Kentucky,0 +Harrogate,Claiborne County,Tennessee,0 +Harrold,Hughes County,South Dakota,0 +Harrold,Wilbarger County,Texas,0 +Harsens Island,St. Clair County,Michigan,0 +Harshaw,Oneida County,Wisconsin,0 +Hart,Oceana County,Michigan,0 +Hart,Castro County,Texas,0 +Hartfield,Middlesex County,Virginia,0 +Hartford,Geneva County,Alabama,0 +Hartford,Sebastian County,Arkansas,0 +Hartford,Hartford County,Connecticut,0 +Hartford,Madison County,Illinois,0 +Hartford,Warren County,Iowa,0 +Hartford,Lyon County,Kansas,0 +Hartford,Ohio County,Kentucky,0 +Hartford,Van Buren County,Michigan,0 +Hartford,Washington County,New York,0 +Hartford,Trumbull County,Ohio,0 +Hartford,Minnehaha County,South Dakota,0 +Hartford,Cocke County,Tennessee,0 +Hartford,Windsor County,Vermont,0 +Hartford,Mason County,West Virginia,0 +Hartford,Washington County,Wisconsin,0 +Hartford City,Blackford County,Indiana,0 +Hartington,Cedar County,Nebraska,0 +Hartland,Somerset County,Maine,0 +Hartland,Livingston County,Michigan,0 +Hartland,Freeborn County,Minnesota,0 +Hartland,Windsor County,Vermont,0 +Hartland,Waukesha County,Wisconsin,0 +Hartland Four Corners,Windsor County,Vermont,0 +Hartleton,Union County,Pennsylvania,0 +Hartley,O'Brien County,Iowa,0 +Hartley,Hartley County,Texas,0 +Hartline,Grant County,Washington,0 +Hartly,Kent County,Delaware,0 +Hartman,Johnson County,Arkansas,0 +Hartman,Prowers County,Colorado,0 +Harts,Lincoln County,West Virginia,0 +Hartsburg,Logan County,Illinois,0 +Hartsburg,Boone County,Missouri,0 +Hartsdale,Westchester County,New York,0 +Hartsel,Park County,Colorado,0 +Hartselle,Morgan County,Alabama,50 +Hartsfield,Colquitt County,Georgia,0 +Hartshorn,Texas County,Missouri,0 +Hartshorne,Pittsburg County,Oklahoma,0 +Hartstown,Crawford County,Pennsylvania,0 +Hartsville,Bartholomew County,Indiana,0 +Hartsville,Darlington County,South Carolina,0 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Arundel County,Maryland,0 +Harwood,Vernon County,Missouri,0 +Harwood,Cass County,North Dakota,0 +Harwood,Gonzales County,Texas,0 +Harwood Heights,Cook County,Illinois,0 +Hasbrouck Heights,Bergen County,New Jersey,0 +Haskell,Passaic County,New Jersey,0 +Haskell,Muskogee County,Oklahoma,0 +Haskell,Haskell County,Texas,0 +Haskins,Wood County,Ohio,0 +Haslet,Tarrant County,Texas,0 +Haslett,Ingham County,Michigan,0 +Hassell,Martin County,North Carolina,0 +Hastings,St. Johns County,Florida,0 +Hastings,Mills County,Iowa,0 +Hastings,Barry County,Michigan,0 +Hastings,Dakota County,Minnesota,0 +Hastings,Adams County,Nebraska,0 +Hastings,Oswego County,New York,0 +Hastings,Jefferson County,Oklahoma,0 +Hastings,Cambria County,Pennsylvania,0 +Hastings On Hudson,Westchester County,New York,0 +Hasty,Newton County,Arkansas,0 +Hasty,Bent County,Colorado,0 +Haswell,Kiowa County,Colorado,0 +Hat Creek,Shasta County,California,0 +Hatboro,Montgomery County,Pennsylvania,0 +Hatch,Do�a Ana County,New Mexico,0 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County,Texas,0 +Hawkins,Rusk County,Wisconsin,0 +Hawkinsville,Pulaski County,Georgia,0 +Hawks,Presque Isle County,Michigan,0 +Hawley,Clay County,Minnesota,0 +Hawley,Pike County,Pennsylvania,0 +Hawley,Jones County,Texas,0 +Hawleyville,Fairfield County,Connecticut,0 +Haworth,Bergen County,New Jersey,0 +Haworth,McCurtain County,Oklahoma,0 +Hawthorn,Clarion County,Pennsylvania,0 +Hawthorne,Los Angeles County,California,0 +Hawthorne,Putnam County,Florida,0 +Hawthorne,Mineral County,Nevada,0 +Hawthorne,Passaic County,New Jersey,0 +Hawthorne,Westchester County,New York,0 +Hawthorne,Douglas County,Wisconsin,0 +Haxtun,Phillips County,Colorado,0 +Hay,Whitman County,Washington,0 +Hay Springs,Sheridan County,Nebraska,0 +Hayden,Blount County,Alabama,0 +Hayden,Gila County,Arizona,0 +Hayden,Routt County,Colorado,0 +Hayden,Kootenai County,Idaho,0 +Hayden,Jennings County,Indiana,0 +Haydenville,Hampshire County,Massachusetts,0 +Haydenville,Hocking County,Ohio,0 +Hayes,Calcasieu Parish,Louisiana,0 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County,Kentucky,0 +Hazel,Hamlin County,South Dakota,0 +Hazel Crest,Cook County,Illinois,0 +Hazel Green,Madison County,Alabama,0 +Hazel Green,Wolfe County,Kentucky,0 +Hazel Green,Grant County,Wisconsin,0 +Hazel Hurst,McKean County,Pennsylvania,0 +Hazel Park,Oakland County,Michigan,0 +Hazelhurst,Oneida County,Wisconsin,0 +Hazelton,Jerome County,Idaho,0 +Hazelton,Barber County,Kansas,0 +Hazelton,Emmons County,North Dakota,0 +Hazelwood,St. Louis County,Missouri,0 +Hazelwood,Haywood County,North Carolina,0 +Hazen,Prairie County,Arkansas,0 +Hazen,Mercer County,North Dakota,0 +Hazlehurst,Jeff Davis County,Georgia,0 +Hazlehurst,Copiah County,Mississippi,0 +Hazlet,Monmouth County,New Jersey,0 +Hazleton,Gibson County,Indiana,0 +Hazleton,Buchanan County,Iowa,0 +Hazleton,Luzerne County,Pennsylvania,0 +Head Waters,Highland County,Virginia,0 +Headland,Henry County,Alabama,0 +Headrick,Jackson County,Oklahoma,0 +Heafford Junction,Lincoln County,Wisconsin,0 +Healdsburg,Sonoma County,California,0 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County,Ohio,0 +Hecker,Monroe County,Illinois,0 +Hecla,Brown County,South Dakota,0 +Hector,Pope County,Arkansas,0 +Hector,Renville County,Minnesota,0 +Hector,Schuyler County,New York,0 +Hedgesville,Berkeley County,West Virginia,0 +Hedley,Donley County,Texas,0 +Hedrick,Keokuk County,Iowa,0 +Heflin,Cleburne County,Alabama,0 +Heflin,Webster Parish,Louisiana,0 +Hegins,Schuylkill County,Pennsylvania,0 +Heidelberg,Lee County,Kentucky,0 +Heidelberg,Jasper County,Mississippi,0 +Heidenheimer,Bell County,Texas,0 +Heidrick,Knox County,Kentucky,0 +Heilwood,Indiana County,Pennsylvania,0 +Heiskell,Anderson County,Tennessee,0 +Heislerville,Cumberland County,New Jersey,0 +Heisson,Clark County,Washington,0 +Helen,White County,Georgia,0 +Helen,St Mary's County,Maryland,0 +Helen,Raleigh County,West Virginia,0 +Helena,Shelby County,Alabama,0 +Helena,Phillips County,Arkansas,0 +Helena,Telfair County,Georgia,0 +Helena,Andrew County,Missouri,0 +Helena,Lewis and Clark County,Montana,0 +Helena,St. Lawrence County,New York,0 +Helena,Sandusky County,Ohio,0 +Helena,Alfalfa County,Oklahoma,0 +Helendale,San Bernardino County,California,0 +Helenville,Jefferson County,Wisconsin,0 +Helenwood,Scott County,Tennessee,0 +Helix,Umatilla County,Oregon,0 +Hellertown,Northampton County,Pennsylvania,0 +Hellier,Pike County,Kentucky,0 +Helm,Fresno County,California,0 +Helmetta,Middlesex County,New Jersey,0 +Helmsburg,Brown County,Indiana,0 +Helmville,Powell County,Montana,0 +Helotes,Bexar County,Texas,0 +Helper,Carbon County,Utah,0 +Helton,Leslie County,Kentucky,0 +Heltonville,Lawrence County,Indiana,0 +Helvetia,Randolph County,West Virginia,0 +Hematite,Jefferson County,Missouri,0 +Hemet,Riverside County,California,0 +Hemingford,Box Butte County,Nebraska,0 +Hemingway,Williamsburg County,South Carolina,0 +Hemlock,Howard County,Indiana,0 +Hemlock,Saginaw County,Michigan,0 +Hemlock,Ontario County,New York,0 +Hemphill,Sabine County,Texas,0 +Hemphill,McDowell County,West Virginia,0 +Hempstead,Nassau County,New York,0 +Hempstead,Waller County,Texas,0 +Henagar,DeKalb County,Alabama,0 +Henderson,Baxter County,Arkansas,0 +Henderson,Adams County,Colorado,0 +Henderson,Knox County,Illinois,0 +Henderson,Mills County,Iowa,0 +Henderson,Henderson County,Kentucky,0 +Henderson,Caroline County,Maryland,0 +Henderson,Shiawassee County,Michigan,0 +Henderson,Sibley County,Minnesota,0 +Henderson,York County,Nebraska,0 +Henderson,Clark County,Nevada,0 +Henderson,Jefferson County,New York,0 +Henderson,Vance County,North Carolina,0 +Henderson,Chester County,Tennessee,0 +Henderson,Rusk County,Texas,0 +Henderson,Mason County,West Virginia,0 +Henderson Harbor,Jefferson County,New York,0 +Hendersonville,Henderson County,North Carolina,0 +Hendersonville,Washington County,Pennsylvania,0 +Hendersonville,Sumner County,Tennessee,0 +Hendley,Furnas County,Nebraska,0 +Hendricks,Lincoln County,Minnesota,0 +Hendricks,Tucker County,West Virginia,0 +Hendrix,Bryan County,Oklahoma,0 +Hendrum,Norman County,Minnesota,0 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County,Arkansas,0 +Hermitage,Hickory County,Missouri,0 +Hermitage,Mercer County,Pennsylvania,0 +Hermitage,Davidson County,Tennessee,0 +Hermleigh,Scurry County,Texas,0 +Hermon,St. Lawrence County,New York,0 +Hermosa,Custer County,South Dakota,0 +Hermosa Beach,Los Angeles County,California,0 +Hernandez,Rio Arriba County,New Mexico,0 +Hernando,,Florida,0 +Hernando,Citrus County,Florida,0 +Hernando,DeSoto County,Mississippi,0 +Herndon,Rawlins County,Kansas,0 +Herndon,Christian County,Kentucky,0 +Herndon,Northumberland County,Pennsylvania,0 +Herndon,Fairfax County,Virginia,0 +Herndon,Wyoming County,West Virginia,0 +Hernshaw,Kanawha County,West Virginia,0 +Herod,Hardin County,Illinois,0 +Heron,Sanders County,Montana,0 +Heron Lake,Jackson County,Minnesota,0 +Herreid,Campbell County,South Dakota,0 +Herrick,Shelby County,Illinois,0 +Herrick,Gregory County,South Dakota,0 +Herrick Center,Susquehanna County,Pennsylvania,0 +Herriman,Salt Lake County,Utah,0 +Herrin,Williamson County,Illinois,0 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County,Idaho,0 +Heyworth,McLean County,Illinois,0 +Hi Hat,Floyd County,Kentucky,0 +Hialeah,Miami-Dade County,Florida,0 +Hiawassee,Towns County,Georgia,0 +Hiawatha,Linn County,Iowa,0 +Hiawatha,Brown County,Kansas,0 +Hiawatha,Mercer County,West Virginia,0 +Hibbing,St. Louis County,Minnesota,0 +Hibbs,Fayette County,Pennsylvania,0 +Hibernia,Morris County,New Jersey,0 +Hickman,Stanislaus County,California,0 +Hickman,Fulton County,Kentucky,0 +Hickman,Lancaster County,Nebraska,0 +Hickman,Smith County,Tennessee,0 +Hickory,Graves County,Kentucky,0 +Hickory,Newton County,Mississippi,0 +Hickory,Catawba County,North Carolina,0 +Hickory,Washington County,Pennsylvania,0 +Hickory Corners,Barry County,Michigan,0 +Hickory Flat,Benton County,Mississippi,0 +Hickory Grove,York County,South Carolina,0 +Hickory Hills,Cook County,Illinois,0 +Hickory Plains,Prairie County,Arkansas,0 +Hickory Ridge,Cross County,Arkansas,0 +Hickory Valley,Hardeman County,Tennessee,0 +Hicksville,Nassau County,New York,0 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County,New Jersey,0 +Highlands,Monmouth County,New Jersey,0 +Highlands,Macon County,North Carolina,0 +Highlands,Harris County,Texas,0 +Highlandville,Winneshiek County,Iowa,0 +Highlandville,Christian County,Missouri,0 +Highmore,Hyde County,South Dakota,0 +Highmount,Ulster County,New York,0 +Highspire,Dauphin County,Pennsylvania,0 +Hightstown,Mercer County,New Jersey,0 +Highwood,Lake County,Illinois,0 +Highwood,Chouteau County,Montana,0 +Higley,Maricopa County,Arizona,0 +Hiko,Lincoln County,Nevada,0 +Hiland,Natrona County,Wyoming,0 +Hilbert,Calumet County,Wisconsin,0 +Hilda,Barnwell County,South Carolina,0 +Hildale,Washington County,Utah,0 +Hildebran,Burke County,North Carolina,0 +Hildreth,Franklin County,Nebraska,0 +Hilger,Fergus County,Montana,0 +Hilham,Overton County,Tennessee,0 +Hill,Merrimack County,New Hampshire,0 +Hill Afb,Davis County,Utah,0 +Hill City,Camas County,Idaho,0 +Hill City,Graham County,Kansas,0 +Hill City,Aitkin County,Minnesota,0 +Hill City,Pennington County,South Dakota,0 +Hillburn,Rockland County,New York,0 +Hiller,Fayette County,Pennsylvania,0 +Hilliard,Nassau County,Florida,0 +Hilliard,Franklin County,Ohio,0 +Hilliards,Butler County,Pennsylvania,0 +Hillister,Tyler County,Texas,0 +Hillman,Montmorency County,Michigan,0 +Hillman,Morrison County,Minnesota,0 +Hillpoint,Sauk County,Wisconsin,0 +Hillrose,Morgan County,Colorado,0 +Hills,Johnson County,Iowa,0 +Hills,Rock County,Minnesota,0 +Hillsboro,Lawrence County,Alabama,0 +Hillsboro,Jasper County,Georgia,0 +Hillsboro,Montgomery County,Illinois,0 +Hillsboro,Fountain County,Indiana,0 +Hillsboro,Henry County,Iowa,0 +Hillsboro,Marion County,Kansas,0 +Hillsboro,Fleming County,Kentucky,0 +Hillsboro,Caroline County,Maryland,0 +Hillsboro,Scott County,Mississippi,0 +Hillsboro,Jefferson County,Missouri,0 +Hillsboro,Sierra County,New Mexico,0 +Hillsboro,Traill County,North Dakota,0 +Hillsboro,Highland County,Ohio,0 +Hillsboro,,Oregon,0 +Hillsboro,Washington County,Oregon,0 +Hillsboro,Coffee County,Tennessee,0 +Hillsboro,Hill County,Texas,0 +Hillsboro,Pocahontas County,West Virginia,0 +Hillsboro,Vernon County,Wisconsin,0 +Hillsborough,Hillsborough County,New Hampshire,0 +Hillsborough,Somerset County,New Jersey,0 +Hillsborough,Orange County,North Carolina,0 +Hillsdale,Rock Island County,Illinois,0 +Hillsdale,Vermillion County,Indiana,0 +Hillsdale,Miami County,Kansas,0 +Hillsdale,Hillsdale County,Michigan,0 +Hillsdale,Bergen County,New Jersey,0 +Hillsdale,Columbia County,New York,0 +Hillsdale,Garfield County,Oklahoma,0 +Hillsdale,Indiana County,Pennsylvania,0 +Hillsdale,Laramie County,Wyoming,0 +Hillsgrove,Sullivan County,Pennsylvania,0 +Hillside,Fremont County,Colorado,0 +Hillside,Cook County,Illinois,0 +Hillside,Union County,New Jersey,0 +Hillsville,Lawrence County,Pennsylvania,0 +Hillsville,Carroll County,Virginia,0 +Hilltop,Fayette County,West Virginia,0 +Hilltown,Bucks County,Pennsylvania,0 +Hillview,Greene County,Illinois,0 +Hillview,Bullitt County,Kentucky,0 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County,Illinois,0 +Hinsdale,Berkshire County,Massachusetts,0 +Hinsdale,Valley County,Montana,0 +Hinsdale,Cheshire County,New Hampshire,0 +Hinsdale,Cattaraugus County,New York,0 +Hinton,Plymouth County,Iowa,0 +Hinton,,Oklahoma,0 +Hinton,Rockingham County,Virginia,0 +Hinton,Summers County,West Virginia,0 +Hiram,Paulding County,Georgia,0 +Hiram,Oxford County,Maine,0 +Hiram,Portage County,Ohio,0 +Hiseville,Barren County,Kentucky,0 +Hitchcock,Blaine County,Oklahoma,0 +Hitchcock,Beadle County,South Dakota,0 +Hitchcock,Galveston County,Texas,0 +Hitchins,Carter County,Kentucky,0 +Hitchita,McIntosh County,Oklahoma,0 +Hitterdal,Clay County,Minnesota,0 +Hiwasse,Benton County,Arkansas,0 +Hiwassee,Pulaski County,Virginia,0 +Hixson,Hamilton County,Tennessee,0 +Hixton,Jackson County,Wisconsin,0 +Ho Ho Kus,Bergen County,New Jersey,0 +Hoagland,Allen County,Indiana,0 +Hobart,Lake County,Indiana,0 +Hobart,Delaware County,New York,0 +Hobart,Kiowa County,Oklahoma,0 +Hobart,King County,Washington,0 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County,Pennsylvania,0 +Hop Bottom,Susquehanna County,Pennsylvania,0 +Hopatcong,Sussex County,New Jersey,0 +Hope,Kenai Peninsula Borough,Alaska,0 +Hope,Hempstead County,Arkansas,0 +Hope,Bonner County,Idaho,0 +Hope,Bartholomew County,Indiana,0 +Hope,Dickinson County,Kansas,0 +Hope,Montgomery County,Kentucky,0 +Hope,Knox County,Maine,0 +Hope,Midland County,Michigan,0 +Hope,Steele County,Minnesota,0 +Hope,Warren County,New Jersey,0 +Hope,Eddy County,New Mexico,0 +Hope,Steele County,North Dakota,0 +Hope,Providence County,Rhode Island,0 +Hope Hull,Montgomery County,Alabama,0 +Hope Mills,Cumberland County,North Carolina,0 +Hope Valley,Washington County,Rhode Island,0 +Hopedale,Tazewell County,Illinois,0 +Hopedale,Worcester County,Massachusetts,0 +Hopedale,Harrison County,Ohio,0 +Hopeland,Lancaster County,Pennsylvania,0 +Hopeton,Woods County,Oklahoma,0 +Hopewell,Mercer County,New Jersey,0 +Hopewell,Muskingum County,Ohio,0 +Hopewell,Bedford County,Pennsylvania,0 +Hopewell,Hopewell city,Virginia,0 +Hopewell Junction,Dutchess County,New York,0 +Hopkins,Allegan County,Michigan,0 +Hopkins,Hennepin County,Minnesota,0 +Hopkins,Nodaway County,Missouri,0 +Hopkins,Richland County,South Carolina,0 +Hopkins Park,Kankakee County,Illinois,0 +Hopkinsville,Christian County,Kentucky,0 +Hopkinton,Delaware County,Iowa,0 +Hopkinton,Middlesex County,Massachusetts,0 +Hopkinton,Washington County,Rhode Island,0 +Hopland,Mendocino County,California,0 +Hopwood,Fayette County,Pennsylvania,0 +Hoquiam,Grays Harbor County,Washington,0 +Horace,Cass County,North Dakota,0 +Horatio,Sevier County,Arkansas,0 +Horatio,Sumter County,South Carolina,0 +Hordville,Hamilton County,Nebraska,0 +Horicon,Dodge County,Wisconsin,0 +Hormigueros,Hormigueros Municipio,Puerto Rico,0 +Horn Lake,DeSoto County,Mississippi,0 +Hornbeak,Obion County,Tennessee,0 +Hornbeck,Vernon Parish,Louisiana,0 +Hornbrook,Siskiyou County,California,0 +Hornell,Steuben County,New York,0 +Horner,Lewis County,West Virginia,0 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County,Nebraska,0 +Humphreys,Sullivan County,Missouri,0 +Humptulips,Grays Harbor County,Washington,0 +Hundred,Wetzel County,West Virginia,0 +Hungerford,Wharton County,Texas,0 +Hungry Horse,Flathead County,Montana,0 +Hunker,Westmoreland County,Pennsylvania,0 +Hunlock Creek,Luzerne County,Pennsylvania,0 +Hunnewell,Shelby County,Missouri,0 +Hunt,Livingston County,New York,0 +Hunt,Kerr County,Texas,0 +Hunt Valley,Baltimore County,Maryland,0 +Hunter,Woodruff County,Arkansas,0 +Hunter,Mitchell County,Kansas,0 +Hunter,Greene County,New York,0 +Hunter,Cass County,North Dakota,0 +Hunter,Garfield County,Oklahoma,0 +Hunters,Stevens County,Washington,0 +Huntersville,Mecklenburg County,North Carolina,0 +Huntertown,Allen County,Indiana,0 +Huntingburg,Dubois County,Indiana,0 +Huntingdon,Huntingdon County,Pennsylvania,0 +Huntingdon,Carroll County,Tennessee,0 +Huntingdon Valley,Montgomery County,Pennsylvania,0 +Huntington,Sebastian County,Arkansas,0 +Huntington,Huntington County,Indiana,0 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County,Virginia,0 +Hurtsboro,Russell County,Alabama,0 +Huslia,Yukon-Koyukuk Census Area,Alaska,0 +Huson,Missoula County,Montana,0 +Husser,Tangipahoa Parish,Louisiana,0 +Hustisford,Dodge County,Wisconsin,0 +Hustle,Essex County,Virginia,0 +Hustler,Juneau County,Wisconsin,0 +Huston,Canyon County,Idaho,0 +Hustontown,Fulton County,Pennsylvania,0 +Hustonville,Lincoln County,Kentucky,0 +Husum,Klickitat County,Washington,0 +Hutchins,Dallas County,Texas,0 +Hutchinson,Reno County,Kansas,0 +Hutchinson,McLeod County,Minnesota,0 +Hutchinson,Westmoreland County,Pennsylvania,0 +Hutsonville,Crawford County,Illinois,0 +Huttig,Union County,Arkansas,0 +Hutto,Williamson County,Texas,0 +Huttonsville,Randolph County,West Virginia,0 +Huxford,Escambia County,Alabama,0 +Huxley,Story County,Iowa,0 +Hyampom,Trinity County,California,0 +Hyannis,Barnstable County,Massachusetts,0 +Hyannis,Grant County,Nebraska,0 +Hyannis Port,Barnstable County,Massachusetts,0 +Hyattsville,Prince George's County,Maryland,0 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County,New Mexico,0 +Iliamna,Lake and Peninsula Borough,Alaska,0 +Iliff,Logan County,Colorado,0 +Ilion,Herkimer County,New York,0 +Illinois City,Rock Island County,Illinois,0 +Illiopolis,Sangamon County,Illinois,0 +Ilwaco,Pacific County,Washington,0 +Imbler,Union County,Oregon,0 +Imboden,Lawrence County,Arkansas,0 +Imlay,Pershing County,Nevada,0 +Imlay City,Lapeer County,Michigan,0 +Imlaystown,Monmouth County,New Jersey,0 +Imler,Bedford County,Pennsylvania,0 +Immaculata,Chester County,Pennsylvania,0 +Immokalee,Collier County,Florida,0 +Imnaha,Wallowa County,Oregon,0 +Imogene,Fremont County,Iowa,0 +Imperial,Imperial County,California,0 +Imperial,Jefferson County,Missouri,0 +Imperial,Chase County,Nebraska,0 +Imperial,Allegheny County,Pennsylvania,0 +Imperial,Pecos County,Texas,0 +Imperial Beach,San Diego County,California,0 +Ina,Jefferson County,Illinois,0 +Inavale,Webster County,Nebraska,0 +Inchelium,Ferry County,Washington,0 +Incline Village,Washoe County,Nevada,0 +Independence,Inyo County,California,0 +Independence,Buchanan County,Iowa,0 +Independence,Montgomery County,Kansas,0 +Independence,Kenton County,Kentucky,0 +Independence,Tangipahoa Parish,Louisiana,0 +Independence,Tate County,Mississippi,0 +Independence,Jackson County,Missouri,0 +Independence,Cuyahoga County,Ohio,0 +Independence,Polk County,Oregon,0 +Independence,Grayson County,Virginia,0 +Independence,Preston County,West Virginia,0 +Independence,Trempealeau County,Wisconsin,0 +Index,Snohomish County,Washington,0 +Indiahoma,Comanche County,Oklahoma,0 +Indialantic,Brevard County,Florida,0 +Indian,Anchorage Municipality,Alaska,0 +Indian Head,Charles County,Maryland,0 +Indian Head,Fayette County,Pennsylvania,0 +Indian Hills,Jefferson County,Colorado,0 +Indian Lake,Hamilton County,New York,0 +Indian Lake Estates,Polk County,Florida,0 +Indian Mound,Stewart County,Tennessee,0 +Indian Orchard,Hampden County,Massachusetts,0 +Indian River,Cheboygan County,Michigan,0 +Indian Rocks Beach,Pinellas County,Florida,0 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Falls,Hardin County,Iowa,0 +Iowa Park,Wichita County,Texas,0 +Ipava,Fulton County,Illinois,0 +Ipswich,Essex County,Massachusetts,0 +Ipswich,Edmunds County,South Dakota,0 +Ira,Jasper County,Iowa,0 +Ira,Scurry County,Texas,0 +Iraan,Pecos County,Texas,0 +Irasburg,Orleans County,Vermont,0 +Iredell,Bosque County,Texas,0 +Ireland,Dubois County,Indiana,0 +Ireland,Lewis County,West Virginia,0 +Irene,Yankton County,South Dakota,0 +Irene,Hill County,Texas,0 +Ireton,Sioux County,Iowa,0 +Irma,Lincoln County,Wisconsin,0 +Irmo,Richland County,South Carolina,0 +Iron,St. Louis County,Minnesota,0 +Iron Belt,Iron County,Wisconsin,0 +Iron City,Seminole County,Georgia,0 +Iron City,Wayne County,Tennessee,0 +Iron Gate,Alleghany County,Virginia,0 +Iron Mountain,Dickinson County,Michigan,0 +Iron Ridge,Dodge County,Wisconsin,0 +Iron River,Iron County,Michigan,0 +Iron River,Bayfield County,Wisconsin,0 +Iron Station,Lincoln County,North Carolina,0 +Irondale,Washington County,Missouri,0 +Irondale,Jefferson County,Ohio,0 +Ironia,Morris County,New Jersey,0 +Irons,Lake County,Michigan,0 +Ironside,Malheur County,Oregon,0 +Ironsides,Charles County,Maryland,0 +Ironton,Crow Wing County,Minnesota,0 +Ironton,Iron County,Missouri,0 +Ironton,Lawrence County,Ohio,0 +Ironwood,Gogebic County,Michigan,0 +Iroquois,Iroquois County,Illinois,0 +Iroquois,Kingsbury County,South Dakota,0 +Irrigon,Morrow County,Oregon,0 +Irvine,Orange County,California,0 +Irvine,Estill County,Kentucky,0 +Irvine,Warren County,Pennsylvania,0 +Irving,Montgomery County,Illinois,0 +Irving,Chautauqua County,New York,0 +Irving,,Texas,0 +Irving,Dallas County,Texas,0 +Irvington,Mobile County,Alabama,0 +Irvington,Washington County,Illinois,0 +Irvington,Breckinridge County,Kentucky,0 +Irvington,Essex County,New Jersey,0 +Irvington,Westchester County,New York,0 +Irvington,Lancaster County,Virginia,0 +Irvona,Clearfield County,Pennsylvania,0 +Irwin,Bonneville County,Idaho,0 +Irwin,Shelby County,Iowa,0 +Irwin,Madison County,Ohio,0 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County,Minnesota,0 +Isle Au Haut,Knox County,Maine,0 +Isle La Motte,Grand Isle County,Vermont,0 +Isle Of Palms,Charleston County,South Carolina,0 +Isle Of Springs,Lincoln County,Maine,0 +Isle Of Wight,Isle of Wight County,Virginia,0 +Isle Saint George,Ottawa County,Ohio,0 +Islesboro,Waldo County,Maine,0 +Islesford,Hancock County,Maine,0 +Isleta,Bernalillo County,New Mexico,0 +Isleton,Sacramento County,California,0 +Islip,Suffolk County,New York,0 +Islip Terrace,Suffolk County,New York,0 +Ismay,Custer County,Montana,0 +Isola,Humphreys County,Mississippi,0 +Isom,Letcher County,Kentucky,0 +Isonville,Elliott County,Kentucky,0 +Issaquah,King County,Washington,0 +Issue,Charles County,Maryland,0 +Istachatta,Hernando County,Florida,0 +Italy,Ellis County,Texas,0 +Itasca,DuPage County,Illinois,0 +Itasca,Hill County,Texas,0 +Ithaca,Gratiot County,Michigan,0 +Ithaca,Saunders County,Nebraska,0 +Ithaca,Tompkins County,New York,0 +Itmann,Wyoming County,West Virginia,0 +Itta Bena,Leflore County,Mississippi,0 +Iuka,Marion County,Illinois,0 +Iuka,Pratt County,Kansas,0 +Iuka,Tishomingo County,Mississippi,0 +Iva,Anderson County,South Carolina,0 +Ivan,Dallas County,Arkansas,0 +Ivanhoe,Tulare County,California,0 +Ivanhoe,Lincoln County,Minnesota,0 +Ivanhoe,Sampson County,North Carolina,0 +Ivanhoe,Fannin County,Texas,0 +Ivanhoe,Wythe County,Virginia,0 +Ivel,Floyd County,Kentucky,0 +Ivesdale,Champaign County,Illinois,0 +Ivins,Washington County,Utah,0 +Ivor,Southampton County,Virginia,0 +Ivoryton,Middlesex County,Connecticut,0 +Ivy,Albemarle County,Virginia,0 +Ivydale,Clay County,West Virginia,0 +Ixonia,Jefferson County,Wisconsin,0 +J B P H H,Honolulu County,Hawaii,0 +Jachin,Choctaw County,Alabama,0 +Jack,Coffee County,Alabama,0 +Jackhorn,Letcher County,Kentucky,0 +Jackman,Somerset County,Maine,0 +Jackpot,Elko County,Nevada,0 +Jacks Creek,Chester County,Tennessee,0 +Jacksboro,Campbell County,Tennessee,0 +Jacksboro,Jack County,Texas,0 +Jackson,Clarke County,Alabama,0 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County,Arkansas,0 +Jacksons Gap,Tallapoosa County,Alabama,0 +Jacksontown,Licking County,Ohio,0 +Jacksonville,Calhoun County,Alabama,0 +Jacksonville,Pulaski County,Arkansas,0 +Jacksonville,Duval County,Florida,0 +Jacksonville,Telfair County,Georgia,0 +Jacksonville,Morgan County,Illinois,0 +Jacksonville,Randolph County,Missouri,0 +Jacksonville,Tompkins County,New York,0 +Jacksonville,Onslow County,North Carolina,0 +Jacksonville,Athens County,Ohio,0 +Jacksonville,Jackson County,Oregon,0 +Jacksonville,Cherokee County,Texas,0 +Jacksonville,Windham County,Vermont,0 +Jacksonville Beach,Duval County,Florida,0 +Jacob,Jackson County,Illinois,0 +Jacobs Creek,Westmoreland County,Pennsylvania,0 +Jacobsburg,Belmont County,Ohio,0 +Jacobson,Aitkin County,Minnesota,0 +Jacumba,San Diego County,California,0 +Jadwin,Dent County,Missouri,0 +Jaffrey,Cheshire County,New Hampshire,0 +Jakin,Early County,Georgia,0 +Jal,Lea County,New Mexico,0 +Jamaica,Guthrie County,Iowa,0 +Jamaica,Kings County,New York,0 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County,Tennessee,0 +Jamestown,James City County,Virginia,0 +Jamesville,Onondaga County,New York,0 +Jamesville,Martin County,North Carolina,0 +Jamesville,Northampton County,Virginia,0 +Jamieson,Malheur County,Oregon,0 +Jamison,Bucks County,Pennsylvania,0 +Jamul,San Diego County,California,0 +Jane Lew,Lewis County,West Virginia,0 +Janesville,Lassen County,California,0 +Janesville,Coles County,Illinois,0 +Janesville,Bremer County,Iowa,0 +Janesville,Waseca County,Minnesota,0 +Janesville,Rock County,Wisconsin,0 +Jansen,Jefferson County,Nebraska,0 +Jarales,Valencia County,New Mexico,0 +Jarbidge,Elko County,Nevada,0 +Jaroso,Costilla County,Colorado,0 +Jarratt,Greensville County,Virginia,0 +Jarratt,Sussex County,Virginia,0 +Jarreau,Pointe Coupee Parish,Louisiana,0 +Jarrell,Williamson County,Texas,0 +Jarrettsville,Harford County,Maryland,0 +Jarvisburg,Currituck County,North Carolina,0 +Jasonville,Greene County,Indiana,0 +Jasper,Walker County,Alabama,0 +Jasper,Newton County,Arkansas,0 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County,Pennsylvania,0 +Jennings,Hamilton County,Florida,0 +Jennings,Decatur County,Kansas,0 +Jennings,Jefferson Davis Parish,Louisiana,0 +Jennings,Pawnee County,Oklahoma,0 +Jensen,Uintah County,Utah,0 +Jensen Beach,Martin County,Florida,0 +Jeremiah,Letcher County,Kentucky,0 +Jericho,Nassau County,New York,0 +Jericho,Chittenden County,Vermont,0 +Jerico Springs,Cedar County,Missouri,0 +Jermyn,Lackawanna County,Pennsylvania,0 +Jermyn,Jack County,Texas,0 +Jerome,Yavapai County,Arizona,0 +Jerome,Jerome County,Idaho,0 +Jerome,Hillsdale County,Michigan,0 +Jerome,Phelps County,Missouri,0 +Jerome,Somerset County,Pennsylvania,0 +Jeromesville,Ashland County,Ohio,0 +Jerry City,Wood County,Ohio,0 +Jersey,Bradley County,Arkansas,0 +Jersey,Walton County,Georgia,0 +Jersey,King George County,Virginia,0 +Jersey City,Hudson County,New Jersey,0 +Jersey Mills,Lycoming County,Pennsylvania,0 +Jersey Shore,Lycoming County,Pennsylvania,0 +Jerseyville,Jersey County,Illinois,0 +Jerusalem,Conway County,Arkansas,0 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County,Illinois,0 +Johnstown,Weld County,Colorado,0 +Johnstown,Brown County,Nebraska,0 +Johnstown,Fulton County,New York,0 +Johnstown,Licking County,Ohio,0 +Johnstown,Cambria County,Pennsylvania,0 +Joice,Worth County,Iowa,0 +Joiner,Mississippi County,Arkansas,0 +Joinerville,Rusk County,Texas,0 +Joliet,Will County,Illinois,0 +Joliet,Carbon County,Montana,0 +Jolley,Calhoun County,Iowa,0 +Jolo,McDowell County,West Virginia,0 +Jolon,Monterey County,California,0 +Jonancy,Pike County,Kentucky,0 +Jonas Ridge,Avery County,North Carolina,0 +Jones,Autauga County,Alabama,0 +Jones,Morehouse Parish,Louisiana,0 +Jones,Cass County,Michigan,0 +Jones,Oklahoma County,Oklahoma,0 +Jones Mill,Hot Spring County,Arkansas,0 +Jones Mills,Westmoreland County,Pennsylvania,0 +Jonesboro,Craighead County,Arkansas,0 +Jonesboro,Clayton County,Georgia,0 +Jonesboro,Union County,Illinois,0 +Jonesboro,Grant County,Indiana,0 +Jonesboro,Jackson Parish,Louisiana,0 +Jonesboro,Washington County,Maine,0 +Jonesboro,Coryell 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County,Minnesota,0 +Kadoka,Jackson County,South Dakota,0 +Kahlotus,Franklin County,Washington,0 +Kahoka,Clark County,Missouri,0 +Kahuku,Honolulu County,Hawaii,0 +Kahului,Maui County,Hawaii,0 +Kaibeto,Coconino County,Arizona,0 +Kailua,Honolulu County,Hawaii,0 +Kailua Kona,Hawaii County,Hawaii,0 +Kaiser,Miller County,Missouri,0 +Kake,Petersburg Census Area,Alaska,0 +Kaktovik,North Slope Borough,Alaska,0 +Kalaheo,Kauai County,Hawaii,0 +Kalama,Cowlitz County,Washington,0 +Kalamazoo,Kalamazoo County,Michigan,0 +Kalaupapa,Kalawao County,Hawaii,0 +Kaleva,Manistee County,Michigan,0 +Kalida,Putnam County,Ohio,0 +Kalispell,Flathead County,Montana,0 +Kalkaska,Kalkaska County,Michigan,0 +Kalona,Washington County,Iowa,0 +Kalskag,Bethel Census Area,Alaska,0 +Kaltag,Yukon-Koyukuk Census Area,Alaska,0 +Kamas,Summit County,Utah,0 +Kamay,Wichita County,Texas,0 +Kamiah,Idaho County,Idaho,0 +Kampsville,Calhoun County,Illinois,0 +Kamrar,Hamilton County,Iowa,0 +Kamuela,Hawaii County,Hawaii,0 +Kanab,Kane County,Utah,0 +Kanaranzi,Rock County,Minnesota,0 +Kanarraville,Iron County,Utah,0 +Kanawha,Hancock County,Iowa,0 +Kanawha Falls,Fayette County,West Virginia,0 +Kanawha Head,Upshur County,West Virginia,0 +Kandiyohi,Kandiyohi County,Minnesota,0 +Kane,Greene County,Illinois,0 +Kane,McKean County,Pennsylvania,0 +Kaneohe,Honolulu County,Hawaii,0 +Kaneville,Kane County,Illinois,0 +Kankakee,Kankakee County,Illinois,0 +Kannapolis,Cabarrus County,North Carolina,0 +Kanona,Steuben County,New York,0 +Kanopolis,Ellsworth County,Kansas,0 +Kanorado,Sherman County,Kansas,0 +Kanosh,Millard County,Utah,0 +Kansas,Walker County,Alabama,0 +Kansas,Edgar County,Illinois,0 +Kansas,Seneca County,Ohio,0 +Kansas,Delaware County,Oklahoma,0 +Kansas City,Wyandotte County,Kansas,0 +Kansas City,,Missouri,0 +Kansas City,Clay County,Missouri,0 +Kansas City,Jackson County,Missouri,0 +Kansas City,Platte County,Missouri,0 +Kansasville,Racine County,Wisconsin,0 +Kantner,Somerset County,Pennsylvania,0 +Kapaa,Kauai County,Hawaii,0 +Kapaau,Hawaii County,Hawaii,0 +Kaplan,Vermilion Parish,Louisiana,0 +Kapolei,Honolulu County,Hawaii,0 +Kapowsin,Pierce County,Washington,0 +Karbers Ridge,Hardin County,Illinois,0 +Karlsruhe,McHenry County,North Dakota,0 +Karlstad,Kittson County,Minnesota,0 +Karluk,Kodiak Island Borough,Alaska,0 +Karnack,Harrison County,Texas,0 +Karnak,Pulaski County,Illinois,0 +Karnes City,Karnes County,Texas,0 +Karns City,Butler County,Pennsylvania,0 +Karthaus,Clearfield County,Pennsylvania,0 +Karval,Lincoln County,Colorado,0 +Kasbeer,Bureau County,Illinois,0 +Kasigluk,Bethel Census Area,Alaska,0 +Kasilof,Kenai Peninsula Borough,Alaska,0 +Kasota,Le Sueur County,Minnesota,0 +Kasson,Dodge County,Minnesota,0 +Kathleen,Polk County,Florida,0 +Kathleen,Houston County,Georgia,0 +Kathryn,Barnes County,North Dakota,0 +Katonah,Westchester County,New York,0 +Kattskill Bay,Washington County,New York,0 +Katy,Fort Bend County,Texas,0 +Katy,Harris County,Texas,0 +Katy,Waller County,Texas,0 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County,Illinois,0 +Kenney,Austin County,Texas,0 +Keno,Klamath County,Oregon,0 +Kenosha,Kenosha County,Wisconsin,0 +Kenova,Wayne County,West Virginia,0 +Kenoza Lake,Sullivan County,New York,0 +Kensal,Stutsman County,North Dakota,0 +Kensett,White County,Arkansas,0 +Kensett,Worth County,Iowa,0 +Kensington,Smith County,Kansas,0 +Kensington,Montgomery County,Maryland,0 +Kensington,Douglas County,Minnesota,0 +Kensington,Columbiana County,Ohio,0 +Kent,Elmore County,Alabama,0 +Kent,Litchfield County,Connecticut,0 +Kent,Stephenson County,Illinois,0 +Kent,Wilkin County,Minnesota,0 +Kent,Orleans County,New York,0 +Kent,Portage County,Ohio,0 +Kent,Sherman County,Oregon,0 +Kent,Indiana County,Pennsylvania,0 +Kent,King County,Washington,0 +Kent City,Kent County,Michigan,0 +Kentfield,Marin County,California,0 +Kentland,Newton County,Indiana,0 +Kenton,Kent County,Delaware,0 +Kenton,Kenton County,Kentucky,0 +Kenton,Hardin County,Ohio,0 +Kenton,Cimarron County,Oklahoma,0 +Kenton,Gibson 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County,Colorado,0 +Kersey,Elk County,Pennsylvania,0 +Kershaw,Lancaster County,South Carolina,0 +Keshena,Menominee County,Wisconsin,0 +Keslers Cross Lanes,Nicholas County,West Virginia,0 +Kesley,Butler County,Iowa,0 +Keswick,Keokuk County,Iowa,0 +Keswick,Albemarle County,Virginia,0 +Ketchikan,Ketchikan Gateway Borough,Alaska,0 +Ketchikan,Prince of Wales-Outer Ketchikan Borough,Alaska,0 +Ketchum,Blaine County,Idaho,0 +Ketchum,Craig County,Oklahoma,0 +Kettle Falls,Stevens County,Washington,0 +Kettle Island,Bell County,Kentucky,0 +Kettle River,Carlton County,Minnesota,0 +Kettleman City,Kings County,California,0 +Kettlersville,Shelby County,Ohio,0 +Keuka Park,Yates County,New York,0 +Kevil,McCracken County,Kentucky,0 +Kevin,Toole County,Montana,0 +Kew Gardens,Queens County,New York,0 +Kewadin,Antrim County,Michigan,0 +Kewanee,Henry County,Illinois,0 +Kewanee,New Madrid County,Missouri,0 +Kewanna,Fulton County,Indiana,0 +Kewaskum,Washington County,Wisconsin,0 +Kewaunee,Kewaunee County,Wisconsin,0 +Key Biscayne,Miami-Dade County,Florida,0 +Key Colony Beach,Monroe County,Florida,0 +Key Largo,Monroe County,Florida,0 +Key West,Monroe County,Florida,0 +Keyes,Stanislaus County,California,0 +Keyes,Cimarron County,Oklahoma,0 +Keyesport,Bond County,Illinois,0 +Keymar,Frederick County,Maryland,0 +Keyport,Monmouth County,New Jersey,0 +Keyport,Kitsap County,Washington,0 +Keyser,Mineral County,West Virginia,0 +Keystone,Wells County,Indiana,0 +Keystone,Benton County,Iowa,0 +Keystone,Keith County,Nebraska,0 +Keystone,Pennington County,South Dakota,0 +Keystone Heights,Clay County,Florida,0 +Keysville,Burke County,Georgia,0 +Keysville,Charlotte County,Virginia,0 +Keytesville,Chariton County,Missouri,0 +Kiahsville,Wayne County,West Virginia,0 +Kiamesha Lake,Sullivan County,New York,0 +Kiamichi Christian Mission,Pushmataha County,Oklahoma,0 +Kiana,Northwest Arctic Borough,Alaska,0 +Kidder,Caldwell County,Missouri,0 +Kidron,Wayne County,Ohio,0 +Kiefer,Creek County,Oklahoma,0 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County,Wisconsin,0 +King And Queen Court House,King and Queen County,Virginia,0 +King City,Monterey County,California,0 +King City,Gentry County,Missouri,0 +King Cove,Aleutians East Borough,Alaska,0 +King Ferry,Cayuga County,New York,0 +King George,King George County,Virginia,0 +King Hill,Elmore County,Idaho,0 +King Of Prussia,Montgomery County,Pennsylvania,0 +King Salmon,Bristol Bay Borough,Alaska,0 +King William,King William County,Virginia,0 +Kingdom City,Callaway County,Missouri,0 +Kingfield,Franklin County,Maine,0 +Kingfisher,Kingfisher County,Oklahoma,0 +Kingman,Mohave County,Arizona,0 +Kingman,Fountain County,Indiana,0 +Kingman,Kingman County,Kansas,0 +Kingman,Penobscot County,Maine,0 +Kingmont,Marion County,West Virginia,0 +Kings Bay,Camden County,Georgia,0 +Kings Beach,Placer County,California,0 +Kings Canyon National Pk,Tulare County,California,0 +Kings Mills,Warren County,Ohio,0 +Kings Mountain,Lincoln County,Kentucky,0 +Kings Mountain,Cleveland County,North Carolina,0 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County,Rhode Island,0 +Kingston,Roane County,Tennessee,0 +Kingston,Piute County,Utah,0 +Kingston,Kitsap County,Washington,0 +Kingston,Green Lake County,Wisconsin,0 +Kingston Mines,Peoria County,Illinois,0 +Kingston Springs,Cheatham County,Tennessee,0 +Kingstree,Williamsburg County,South Carolina,0 +Kingsville,Baltimore County,Maryland,0 +Kingsville,Johnson County,Missouri,0 +Kingsville,Ashtabula County,Ohio,0 +Kingsville,Kleberg County,Texas,0 +Kingwood,Harris County,Texas,0 +Kingwood,Preston County,West Virginia,0 +Kinmundy,Marion County,Illinois,0 +Kinnear,Fremont County,Wyoming,0 +Kinney,St. Louis County,Minnesota,0 +Kinross,Chippewa County,Michigan,0 +Kinsale,Westmoreland County,Virginia,0 +Kinsey,Custer County,Montana,0 +Kinsley,Edwards County,Kansas,0 +Kinsman,Grundy County,Illinois,0 +Kinsman,Trumbull County,Ohio,0 +Kinston,Covington County,Alabama,0 +Kinston,Lenoir County,North Carolina,0 +Kinta,Haskell County,Oklahoma,0 +Kintnersville,Bucks County,Pennsylvania,0 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County,Oregon,0 +Klamath River,Siskiyou County,California,0 +Klawock,Prince of Wales-Hyder Census Area,Alaska,0 +Kleinfeltersville,Lebanon County,Pennsylvania,0 +Klemme,Hancock County,Iowa,0 +Klickitat,Klickitat County,Washington,0 +Klingerstown,Schuylkill County,Pennsylvania,0 +Klondike,Delta County,Texas,0 +Knapp,Dunn County,Wisconsin,0 +Kneeland,Humboldt County,California,0 +Knickerbocker,Tom Green County,Texas,0 +Knierim,Calhoun County,Iowa,0 +Knife River,Lake County,Minnesota,0 +Knifley,Adair County,Kentucky,0 +Knightdale,Wake County,North Carolina,0 +Knights Landing,Yolo County,California,0 +Knightsen,Contra Costa County,California,0 +Knightstown,Henry County,Indiana,0 +Knightsville,Clay County,Indiana,0 +Knippa,Uvalde County,Texas,0 +Knob Lick,Metcalfe County,Kentucky,0 +Knob Lick,St Francois County,Missouri,0 +Knob Noster,Johnson County,Missouri,0 +Knobel,Clay County,Arkansas,0 +Knott,Howard County,Texas,0 +Knotts Island,Currituck County,North Carolina,0 +Knowlesville,Orleans County,New York,0 +Knox,Starke County,Indiana,0 +Knox,Albany County,New York,0 +Knox,Benson County,North Dakota,0 +Knox,Clarion County,Pennsylvania,0 +Knox City,Knox County,Missouri,0 +Knox City,Knox County,Texas,0 +Knox Dale,Jefferson County,Pennsylvania,0 +Knoxboro,Oneida County,New York,0 +Knoxville,Greene County,Alabama,0 +Knoxville,Johnson County,Arkansas,0 +Knoxville,Crawford County,Georgia,0 +Knoxville,Knox County,Illinois,0 +Knoxville,Marion County,Iowa,0 +Knoxville,Frederick County,Maryland,0 +Knoxville,Tioga County,Pennsylvania,0 +Knoxville,Knox County,Tennessee,0 +Kobuk,Northwest Arctic Borough,Alaska,0 +Kodak,Sevier County,Tennessee,0 +Kodiak,Kodiak Island Borough,Alaska,0 +Koeltztown,Osage County,Missouri,0 +Kohler,Sheboygan County,Wisconsin,0 +Kokomo,Howard County,Indiana,0 +Kokomo,Marion County,Mississippi,0 +Koleen,Greene County,Indiana,0 +Koloa,Kauai County,Hawaii,0 +Konawa,Seminole County,Oklahoma,0 +Kongiganak,Bethel Census Area,Alaska,0 +Koosharem,Sevier County,Utah,0 +Kooskia,Idaho County,Idaho,0 +Kootenai,Bonner County,Idaho,0 +Koppel,Beaver County,Pennsylvania,0 +Kopperl,Bosque County,Texas,0 +Kopperston,Wyoming County,West Virginia,0 +Korbel,Humboldt County,California,0 +Kosciusko,Attala County,Mississippi,0 +Koshkonong,Oregon County,Missouri,0 +Kosse,Limestone County,Texas,0 +Kossuth,Clarion County,Pennsylvania,0 +Kotlik,Wade Hampton Census Area,Alaska,0 +Kotzebue,Northwest Arctic Borough,Alaska,0 +Kountze,Hardin County,Texas,0 +Kouts,Porter County,Indiana,0 +Koyuk,Nome Census Area,Alaska,0 +Koyukuk,Yukon-Koyukuk Census Area,Alaska,0 +Kraemer,Lafourche Parish,Louisiana,0 +Krakow,Shawano County,Wisconsin,0 +Kramer,Bottineau County,North Dakota,0 +Kranzburg,Codington County,South Dakota,0 +Kreamer,Snyder County,Pennsylvania,0 +Krebs,Pittsburg County,Oklahoma,0 +Kremlin,Hill County,Montana,0 +Kremlin,Garfield County,Oklahoma,0 +Kremmling,Grand County,Colorado,0 +Kresgeville,Monroe County,Pennsylvania,0 +Kress,Swisher County,Texas,0 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County,Tennessee,0 +La Barge,Lincoln County,Wyoming,0 +La Belle,Lewis County,Missouri,0 +La Belle,Fayette County,Pennsylvania,0 +La Blanca,Hidalgo County,Texas,0 +La Canada Flintridge,Los Angeles County,California,0 +La Center,Ballard County,Kentucky,0 +La Center,Clark County,Washington,0 +La Conner,Skagit County,Washington,0 +La Coste,Medina County,Texas,0 +La Crescent,Houston County,Minnesota,0 +La Crescenta,Los Angeles County,California,0 +La Crosse,Alachua County,Florida,0 +La Crosse,LaPorte County,Indiana,0 +La Crosse,Rush County,Kansas,0 +La Crosse,Mecklenburg County,Virginia,0 +La Crosse,La Crosse County,Wisconsin,0 +La Farge,Vernon County,Wisconsin,0 +La Fargeville,Jefferson County,New York,0 +La Fayette,Walker County,Georgia,0 +La Fayette,Stark County,Illinois,0 +La Fayette,Christian County,Kentucky,0 +La Fayette,Onondaga County,New York,0 +La Feria,Cameron County,Texas,0 +La Follette,Campbell County,Tennessee,0 +La Fontaine,Wabash County,Indiana,0 +La France,Anderson County,South Carolina,0 +La Grande,Union County,Oregon,0 +La Grande,Thurston County,Washington,0 +La Grange,Lee County,Arkansas,0 +La Grange,Tuolumne County,California,0 +La Grange,Cook County,Illinois,0 +La Grange,Oldham County,Kentucky,0 +La Grange,Lewis County,Missouri,0 +La Grange,Lenoir County,North Carolina,0 +La Grange,Fayette County,Tennessee,0 +La Grange,Fayette County,Texas,0 +La Grange Park,Cook County,Illinois,0 +La Habra,Orange County,California,0 +La Harpe,Hancock County,Illinois,0 +La Harpe,Allen County,Kansas,0 +La Honda,San Mateo County,California,0 +La Jara,Conejos County,Colorado,0 +La Jara,Sandoval County,New Mexico,0 +La Jolla,San Diego County,California,0 +La Jose,Clearfield County,Pennsylvania,0 +La Joya,Socorro County,New Mexico,0 +La Joya,Hidalgo County,Texas,0 +La Junta,Otero County,Colorado,0 +La Loma,Guadalupe County,New Mexico,0 +La Luz,Otero County,New Mexico,0 +La Madera,Rio Arriba County,New Mexico,0 +La Marque,Galveston County,Texas,0 +La Mesa,San Diego County,California,0 +La Mesa,Do�a Ana County,New Mexico,0 +La Mirada,Los Angeles County,California,0 +La Moille,Bureau County,Illinois,0 +La Monte,Pettis County,Missouri,0 +La Motte,Jackson County,Iowa,0 +La Palma,Orange County,California,0 +La Pine,Deschutes County,Oregon,0 +La Place,Piatt County,Illinois,0 +La Place,St. John the Baptist Parish,Louisiana,0 +La Plata,Charles County,Maryland,0 +La Plata,Macon County,Missouri,0 +La Plata,San Juan County,New Mexico,0 +La Plata,Aibonito Municipio,Puerto Rico,0 +La Plume,Lackawanna County,Pennsylvania,0 +La Pointe,Ashland County,Wisconsin,0 +La Porte,La Porte County,Indiana,0 +La Porte,LaPorte County,Indiana,0 +La Porte,Harris County,Texas,0 +La Porte City,Black Hawk County,Iowa,0 +La Prairie,Adams County,Illinois,0 +La Pryor,Zavala County,Texas,0 +La Puente,Los Angeles County,California,0 +La Push,Clallam County,Washington,0 +La Quinta,Riverside County,California,0 +La Rose,Marshall County,Illinois,0 +La Rue,Marion County,Ohio,0 +La Russell,Lawrence County,Missouri,0 +La Sal,San Juan County,Utah,0 +La Salle,Weld County,Colorado,0 +La Salle,LaSalle County,Illinois,0 +La Salle,Monroe County,Michigan,0 +La Salle,Watonwan County,Minnesota,0 +La Salle,Jackson County,Texas,0 +La Valle,Sauk County,Wisconsin,0 +La Vergne,Rutherford County,Tennessee,0 +La Verkin,Washington County,Utah,0 +La Verne,Los Angeles County,California,0 +La Vernia,Wilson County,Texas,0 +La Veta,Huerfano County,Colorado,0 +La Villa,Hidalgo County,Texas,0 +La Vista,Sarpy County,Nebraska,0 +La Ward,Jackson County,Texas,0 +Labadie,Franklin County,Missouri,0 +Labadieville,Assumption Parish,Louisiana,0 +Labelle,Hendry County,Florida,0 +Labolt,Grant County,South Dakota,0 +Lac Du Flambeau,Oneida County,Wisconsin,0 +Lacarne,Ottawa County,Ohio,0 +Lacassine,Jefferson Davis Parish,Louisiana,0 +Lacey,Thurston County,Washington,0 +Lacey Spring,Rockingham County,Virginia,0 +Laceys Spring,Morgan County,Alabama,0 +Laceyville,Wyoming County,Pennsylvania,0 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Niguel,Orange County,California,0 +Laguna Park,Bosque County,Texas,0 +Laguna Woods,Orange County,California,0 +Lagunitas,Marin County,California,0 +Lahaina,Maui County,Hawaii,0 +Lahaska,Bucks County,Pennsylvania,0 +Lahmansville,Grant County,West Virginia,0 +Lahoma,Garfield County,Oklahoma,0 +Laie,Honolulu County,Hawaii,0 +Laings,Monroe County,Ohio,0 +Laingsburg,Shiawassee County,Michigan,0 +Laird Hill,Rusk County,Texas,0 +Lairdsville,Lycoming County,Pennsylvania,0 +Lajas,Lajas Municipio,Puerto Rico,0 +Lake,Clare County,Michigan,0 +Lake,Scott County,Mississippi,0 +Lake,Logan County,West Virginia,0 +Lake Alfred,Polk County,Florida,0 +Lake Andes,Charles Mix County,South Dakota,0 +Lake Ann,Benzie County,Michigan,0 +Lake Ariel,Wayne County,Pennsylvania,0 +Lake Arrowhead,San Bernardino County,California,0 +Lake Arthur,Jefferson Davis Parish,Louisiana,0 +Lake Arthur,Chaves County,New Mexico,0 +Lake Benton,Lincoln County,Minnesota,0 +Lake Bluff,Lake County,Illinois,0 +Lake Bronson,Kittson County,Minnesota,0 +Lake Butler,Union County,Florida,0 +Lake Charles,Calcasieu Parish,Louisiana,0 +Lake Cicott,Cass County,Indiana,0 +Lake City,Craighead County,Arkansas,0 +Lake City,Modoc County,California,0 +Lake City,Hinsdale County,Colorado,0 +Lake City,Columbia County,Florida,0 +Lake City,Calhoun County,Iowa,0 +Lake City,Barber County,Kansas,0 +Lake City,Missaukee County,Michigan,0 +Lake City,Wabasha County,Minnesota,0 +Lake City,Erie County,Pennsylvania,0 +Lake City,Florence County,South Carolina,0 +Lake City,Marshall County,South Dakota,0 +Lake City,Anderson County,Tennessee,0 +Lake Clear,Franklin County,New York,0 +Lake Como,Putnam County,Florida,0 +Lake Como,Wayne County,Pennsylvania,0 +Lake Cormorant,DeSoto County,Mississippi,0 +Lake Creek,Delta County,Texas,0 +Lake Crystal,Blue Earth County,Minnesota,0 +Lake Dallas,Denton County,Texas,0 +Lake Delton,Sauk County,Wisconsin,0 +Lake Elmo,Washington County,Minnesota,0 +Lake Elmore,Lamoille County,Vermont,0 +Lake Elsinore,Riverside County,California,0 +Lake Forest,Orange County,California,0 +Lake Forest,Lake County,Illinois,0 +Lake Fork,Valley County,Idaho,0 +Lake Fork,Logan County,Illinois,0 +Lake Geneva,Clay County,Florida,0 +Lake Geneva,Walworth County,Wisconsin,0 +Lake George,Park County,Colorado,0 +Lake George,Clare County,Michigan,0 +Lake George,Hubbard County,Minnesota,0 +Lake George,Warren County,New York,0 +Lake Grove,Suffolk County,New York,0 +Lake Hamilton,Polk County,Florida,0 +Lake Harbor,Palm Beach County,Florida,0 +Lake Harmony,Carbon County,Pennsylvania,0 +Lake Havasu City,Mohave County,Arizona,0 +Lake Helen,Volusia County,Florida,0 +Lake Hiawatha,Morris County,New Jersey,0 +Lake Hill,Ulster County,New York,0 +Lake Hopatcong,Morris County,New Jersey,0 +Lake Hubert,Crow Wing County,Minnesota,0 +Lake Hughes,Los Angeles County,California,0 +Lake Huntington,Sullivan County,New York,0 +Lake In The Hills,McHenry County,Illinois,0 +Lake Isabella,Kern County,California,0 +Lake Jackson,Brazoria County,Texas,0 +Lake Junaluska,Haywood County,North Carolina,0 +Lake Katrine,Ulster County,New York,0 +Lake Leelanau,Leelanau County,Michigan,0 +Lake Lillian,Kandiyohi County,Minnesota,0 +Lake Linden,Houghton County,Michigan,0 +Lake Lure,Rutherford County,North Carolina,0 +Lake Luzerne,Warren County,New York,0 +Lake Lynn,Fayette County,Pennsylvania,0 +Lake Mary,Seminole County,Florida,0 +Lake Mc Donald,Flathead County,Montana,0 +Lake Mills,Winnebago County,Iowa,0 +Lake Mills,Jefferson County,Wisconsin,0 +Lake Milton,Mahoning County,Ohio,0 +Lake Minchumina,Yukon-Koyukuk Census Area,Alaska,0 +Lake Monroe,Seminole County,Florida,0 +Lake Montezuma,Yavapai County,Arizona,0 +Lake Nebagamon,Douglas County,Wisconsin,0 +Lake Norden,Hamlin County,South Dakota,0 +Lake Odessa,Ionia County,Michigan,0 +Lake Orion,Oakland County,Michigan,0 +Lake Oswego,Clackamas County,Oregon,0 +Lake Ozark,Camden County,Missouri,0 +Lake Panasoffkee,Sumter County,Florida,0 +Lake Park,Lowndes County,Georgia,0 +Lake Park,Dickinson County,Iowa,0 +Lake Park,Becker County,Minnesota,0 +Lake Peekskill,Putnam County,New York,0 +Lake Placid,Highlands County,Florida,0 +Lake Placid,Essex County,New York,0 +Lake Pleasant,Franklin County,Massachusetts,0 +Lake Pleasant,Hamilton County,New York,0 +Lake Powell,Kane County,Utah,0 +Lake Preston,Kingsbury County,South Dakota,0 +Lake Providence,East Carroll Parish,Louisiana,0 +Lake Saint Louis,St. Charles County,Missouri,0 +Lake Spring,Dent County,Missouri,0 +Lake Station,Lake County,Indiana,0 +Lake Stevens,Snohomish County,Washington,0 +Lake Tomahawk,Oneida County,Wisconsin,0 +Lake Toxaway,Transylvania County,North Carolina,0 +Lake View,Sac County,Iowa,0 +Lake View,Erie County,New York,0 +Lake View,Dillon County,South Carolina,0 +Lake Villa,Lake County,Illinois,0 +Lake Village,Chicot County,Arkansas,0 +Lake Village,Newton County,Indiana,0 +Lake Waccamaw,Columbus County,North Carolina,0 +Lake Wales,Polk County,Florida,0 +Lake Wilson,Murray County,Minnesota,0 +Lake Winola,Wyoming County,Pennsylvania,0 +Lake Worth,Palm Beach County,Florida,0 +Lake Zurich,Lake County,Illinois,50 +Lakebay,Pierce County,Washington,0 +Lakefield,Jackson County,Minnesota,0 +Lakehead,Shasta County,California,0 +Lakehurst,Ocean County,New Jersey,0 +Lakeland,Polk County,Florida,0 +Lakeland,Lanier County,Georgia,0 +Lakeland,Pointe Coupee Parish,Louisiana,0 +Lakeland,Livingston County,Michigan,0 +Lakeland,Washington County,Minnesota,0 +Lakemont,Rabun County,Georgia,0 +Lakemont,Yates County,New York,0 +Lakemore,Summit County,Ohio,0 +Lakeport,Lake County,California,0 +Lakeshore,Fresno County,California,0 +Lakeshore,Polk County,Florida,0 +Lakeshore,Hancock County,Mississippi,0 +Lakeside,Navajo County,Arizona,0 +Lakeside,San Diego County,California,0 +Lakeside,Litchfield County,Connecticut,0 +Lakeside,Berrien County,Michigan,0 +Lakeside,Flathead County,Montana,0 +Lakeside,Sheridan County,Nebraska,0 +Lakeside,Coos County,Oregon,0 +Lakeside Marblehead,Ottawa County,Ohio,0 +Laketon,Wabash County,Indiana,0 +Laketown,Rich County,Utah,0 +Lakeview,Baxter County,Arkansas,0 +Lakeview,Montcalm County,Michigan,0 +Lakeview,Moore County,North Carolina,0 +Lakeview,Logan County,Ohio,0 +Lakeview,Lake County,Oregon,0 +Lakeview,Hall County,Texas,0 +Lakeville,Litchfield County,Connecticut,0 +Lakeville,St. Joseph County,Indiana,0 +Lakeville,Plymouth County,Massachusetts,0 +Lakeville,Oakland County,Michigan,0 +Lakeville,Dakota County,Minnesota,0 +Lakeville,Livingston County,New York,0 +Lakeville,Holmes County,Ohio,0 +Lakeville,Wayne County,Pennsylvania,0 +Lakewood,Los Angeles County,California,0 +Lakewood,Shelby County,Illinois,0 +Lakewood,Ocean County,New Jersey,0 +Lakewood,Eddy County,New Mexico,0 +Lakewood,Chautauqua County,New York,0 +Lakewood,Cuyahoga County,Ohio,0 +Lakewood,Wayne County,Pennsylvania,0 +Lakewood,Pierce County,Washington,0 +Lakewood,Oconto County,Wisconsin,0 +Lakin,Kearny County,Kansas,0 +Lakota,Kossuth County,Iowa,0 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County,Virginia,0 +Lancaster,Grant County,Wisconsin,0 +Lance Creek,Niobrara County,Wyoming,0 +Lancing,Morgan County,Tennessee,0 +Land O Lakes,Pasco County,Florida,0 +Land O Lakes,Vilas County,Wisconsin,0 +Landenberg,Chester County,Pennsylvania,0 +Lander,Fremont County,Wyoming,0 +Landers,San Bernardino County,California,0 +Landing,Morris County,New Jersey,0 +Landingville,Schuylkill County,Pennsylvania,0 +Landis,Rowan County,North Carolina,0 +Landisburg,Perry County,Pennsylvania,0 +Landisville,Atlantic County,New Jersey,0 +Landisville,Lancaster County,Pennsylvania,0 +Lando,Chester County,South Carolina,0 +Landrum,Spartanburg County,South Carolina,0 +Lane,De Witt County,Illinois,0 +Lane,Franklin County,Kansas,0 +Lane,Atoka County,Oklahoma,0 +Lane,Williamsburg County,South Carolina,0 +Lane,Jerauld County,South Dakota,0 +Lane City,Wharton County,Texas,0 +Laneburg,Nevada County,Arkansas,0 +Lanesboro,Carroll County,Iowa,0 +Lanesboro,Berkshire County,Massachusetts,0 +Lanesboro,Fillmore County,Minnesota,0 +Lanesboro,Susquehanna County,Pennsylvania,0 +Lanesville,Harrison County,Indiana,0 +Lanesville,Greene County,New York,0 +Lanett,Chambers County,Alabama,0 +Laneview,Essex County,Virginia,0 +Laneville,Rusk County,Texas,0 +Lanexa,New Kent County,Virginia,0 +Langdon,Cavalier County,North Dakota,0 +Langeloth,Washington County,Pennsylvania,0 +Langford,Marshall County,South Dakota,0 +Langhorne,Bucks County,Pennsylvania,0 +Langley,Pike County,Arkansas,0 +Langley,Floyd County,Kentucky,0 +Langley,Mayes County,Oklahoma,0 +Langley,Aiken County,South Carolina,0 +Langley,Island County,Washington,0 +Langlois,Curry County,Oregon,0 +Langston,Marshall County,Alabama,0 +Langston,Logan County,Oklahoma,0 +Langsville,Meigs County,Ohio,0 +Langtry,Val Verde County,Texas,0 +Langworthy,Jones County,Iowa,0 +Lanham,Prince George's County,Maryland,0 +Lankin,Walsh County,North Dakota,0 +Lannon,Waukesha County,Wisconsin,0 +Lanoka Harbor,Ocean County,New Jersey,0 +Lansdale,Montgomery County,Pennsylvania,0 +Lansdowne,Delaware County,Pennsylvania,0 +Lanse,Baraga County,Michigan,0 +Lanse,Clearfield County,Pennsylvania,0 +Lansford,Bottineau County,North Dakota,0 +Lansford,Carbon County,Pennsylvania,0 +Lansing,Cook County,Illinois,0 +Lansing,Allamakee County,Iowa,0 +Lansing,Leavenworth County,Kansas,0 +Lansing,Eaton County,Michigan,0 +Lansing,Ingham County,Michigan,0 +Lansing,Mower County,Minnesota,0 +Lansing,Tompkins County,New York,0 +Lansing,Ashe County,North Carolina,0 +Lansing,Belmont County,Ohio,0 +Lansing,Fayette County,West Virginia,0 +Lantry,Dewey County,South Dakota,0 +Laona,Forest County,Wisconsin,0 +Laotto,Noble County,Indiana,0 +Lapaz,Marshall County,Indiana,0 +Lapeer,Lapeer County,Michigan,0 +Lapel,Madison County,Indiana,0 +Lapine,Crenshaw County,Alabama,0 +Lapoint,Uintah County,Utah,0 +Laporte,Larimer County,Colorado,0 +Laporte,Hubbard County,Minnesota,0 +Laporte,Sullivan County,Pennsylvania,0 +Lapwai,Nez Perce County,Idaho,0 +Laquey,Pulaski County,Missouri,0 +Laramie,Albany County,Wyoming,0 +Larchmont,Westchester County,New York,0 +Larchwood,Lyon County,Iowa,0 +Laredo,Grundy County,Missouri,0 +Laredo,Webb County,Texas,0 +Lares,Lares Municipio,Puerto Rico,0 +Largo,Pinellas County,Florida,0 +Larimer,Westmoreland County,Pennsylvania,0 +Larimore,Grand Forks County,North Dakota,0 +Larkspur,Marin County,California,0 +Larkspur,Douglas County,Colorado,0 +Larned,Pawnee County,Kansas,0 +Larose,Lafourche Parish,Louisiana,0 +Larrabee,Cherokee County,Iowa,0 +Larsen,Winnebago County,Wisconsin,0 +Larsen Bay,Kodiak Island Borough,Alaska,0 +Larslan,Valley County,Montana,0 +Larue,Henderson County,Texas,0 +Larwill,Whitley County,Indiana,0 +Las Animas,Bent County,Colorado,0 +Las Cruces,Doña Ana County,New Mexico,0 +Las Cruces,Do�a Ana County,New Mexico,0 +Las Marias,Las Marias Municipio,Puerto Rico,0 +Las Piedras,Las Piedras Municipio,Puerto Rico,0 +Las Vegas,Clark County,Nevada,0 +Las Vegas,San Miguel County,New Mexico,0 +Lasara,Willacy County,Texas,0 +Lascassas,Rutherford County,Tennessee,0 +Lashmeet,Mercer County,West Virginia,0 +Lastrup,Morrison County,Minnesota,0 +Latah,Spokane County,Washington,0 +Latexo,Houston County,Texas,0 +Latham,Logan County,Illinois,0 +Latham,Butler County,Kansas,0 +Latham,Moniteau County,Missouri,0 +Latham,Albany County,New York,0 +Latham,Pike County,Ohio,0 +Lathrop,San Joaquin County,California,0 +Lathrop,Clinton County,Missouri,0 +Latimer,Franklin County,Iowa,0 +Laton,Fresno County,California,0 +Latonia,Kenton County,Kentucky,0 +Latrobe,Westmoreland County,Pennsylvania,0 +Latta,Dillon County,South Carolina,0 +Lattimer Mines,Luzerne County,Pennsylvania,0 +Lattimore,Cleveland County,North Carolina,0 +Latty,Paulding County,Ohio,0 +Lauderdale,Lauderdale County,Mississippi,0 +Laughlin,Clark County,Nevada,0 +Laughlin A F B,Val Verde County,Texas,0 +Laughlintown,Westmoreland County,Pennsylvania,0 +Laupahoehoe,Hawaii County,Hawaii,0 +Laura,Peoria County,Illinois,0 +Laura,Miami County,Ohio,0 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County,Iowa,0 +Le Grand,Merced County,California,0 +Le Grand,Marshall County,Iowa,0 +Le Mars,Plymouth County,Iowa,0 +Le Raysville,Bradford County,Pennsylvania,0 +Le Roy,McLean County,Illinois,0 +Le Roy,Coffey County,Kansas,0 +Le Roy,Mower County,Minnesota,0 +Le Roy,Genesee County,New York,0 +Le Roy,Jackson County,West Virginia,0 +Le Sueur,Le Sueur County,Minnesota,0 +Leachville,Mississippi County,Arkansas,0 +Lead,Lawrence County,South Dakota,0 +Lead Hill,Boone County,Arkansas,0 +Leadore,Lemhi County,Idaho,0 +Leadville,Lake County,Colorado,0 +Leadwood,St. Francois County,Missouri,0 +Leaf River,Ogle County,Illinois,0 +League City,Galveston County,Texas,0 +Leakesville,Greene County,Mississippi,0 +Leakey,Real County,Texas,0 +Leamington,Millard County,Utah,0 +Leander,Travis County,Texas,0 +Leander,Williamson County,Texas,0 +Leary,Calhoun County,Georgia,0 +Leasburg,Crawford County,Missouri,0 +Leasburg,Caswell County,North Carolina,0 +Leavenworth,Crawford County,Indiana,0 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Parish,Louisiana,0 +Lebo,Coffey County,Kansas,0 +Leburn,Knott County,Kentucky,0 +Lecanto,Citrus County,Florida,0 +Leck Kill,Northumberland County,Pennsylvania,0 +Leckrone,Fayette County,Pennsylvania,0 +Lecompte,Rapides Parish,Louisiana,0 +Lecompton,Douglas County,Kansas,0 +Lecontes Mills,Clearfield County,Pennsylvania,0 +Ledbetter,Livingston County,Kentucky,0 +Ledbetter,Lee County,Texas,0 +Lederach,Montgomery County,Pennsylvania,0 +Ledger,Toole County,Montana,0 +Ledgewood,Morris County,New Jersey,0 +Ledyard,New London County,Connecticut,0 +Ledyard,Kossuth County,Iowa,0 +Lee,Madison County,Florida,0 +Lee,Lee County,Illinois,0 +Lee,Penobscot County,Maine,0 +Lee,Berkshire County,Massachusetts,0 +Lee,Strafford County,New Hampshire,0 +Lee Center,Lee County,Illinois,0 +Lee Center,Oneida County,New York,0 +Lee Vining,Mono County,California,0 +Leechburg,Westmoreland County,Pennsylvania,0 +Leedey,Dewey County,Oklahoma,0 +Leeds,Jefferson County,Alabama,0 +Leeds,Androscoggin County,Maine,0 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Virginia,0 +Leggett,Mendocino County,California,0 +Leggett,Polk County,Texas,0 +Lehi,Utah County,Utah,0 +Lehigh,Webster County,Iowa,0 +Lehigh,Marion County,Kansas,0 +Lehigh,Coal County,Oklahoma,0 +Lehigh Acres,Lee County,Florida,0 +Lehigh Valley,Lehigh County,Pennsylvania,0 +Lehighton,Carbon County,Pennsylvania,0 +Lehman,Luzerne County,Pennsylvania,0 +Lehr,McIntosh County,North Dakota,0 +Leicester,Worcester County,Massachusetts,0 +Leicester,Livingston County,New York,0 +Leicester,Buncombe County,North Carolina,0 +Leigh,Colfax County,Nebraska,0 +Leighton,Colbert County,Alabama,0 +Leighton,Mahaska County,Iowa,0 +Leipsic,Putnam County,Ohio,0 +Leisenring,Fayette County,Pennsylvania,0 +Leitchfield,Grayson County,Kentucky,0 +Leiter,Sheridan County,Wyoming,0 +Leiters Ford,Fulton County,Indiana,0 +Leivasy,Nicholas County,West Virginia,0 +Lejunior,Harlan County,Kentucky,0 +Leland,LaSalle County,Illinois,0 +Leland,Winnebago County,Iowa,0 +Leland,Leelanau County,Michigan,0 +Leland,Washington County,Mississippi,0 +Leland,Brunswick County,North Carolina,0 +Lelia Lake,Donley County,Texas,0 +Lemasters,Franklin County,Pennsylvania,0 +Lemhi,Lemhi County,Idaho,0 +Leming,Atascosa County,Texas,0 +Lemitar,Socorro County,New Mexico,0 +Lemmon,Perkins County,South Dakota,0 +Lemon Cove,Tulare County,California,0 +Lemon Grove,San Diego County,California,0 +Lemon Springs,Lee County,North Carolina,0 +Lemont,Cook County,Illinois,0 +Lemont,Centre County,Pennsylvania,0 +Lemont Furnace,Fayette County,Pennsylvania,0 +Lemoore,Kings County,California,0 +Lemoyne,Keith County,Nebraska,0 +Lemoyne,Wood County,Ohio,0 +Lemoyne,Cumberland County,Pennsylvania,0 +Lempster,Sullivan County,New Hampshire,0 +Lena,Stephenson County,Illinois,0 +Lena,Rapides Parish,Louisiana,0 +Lena,Leake County,Mississippi,0 +Lena,Oconto County,Wisconsin,0 +Lenapah,Nowata County,Oklahoma,0 +Lenexa,Johnson County,Kansas,0 +Lengby,Polk County,Minnesota,0 +Lenhartsville,Berks County,Pennsylvania,0 +Lenni,Delaware County,Pennsylvania,0 +Lennon,Shiawassee County,Michigan,0 +Lennox,Lincoln County,South Dakota,0 +Lenoir,Caldwell County,North Carolina,0 +Lenoir City,Loudon County,Tennessee,0 +Lenora,Norton County,Kansas,0 +Lenorah,Martin County,Texas,0 +Lenore,Clearwater County,Idaho,0 +Lenore,Mingo County,West Virginia,0 +Lenox,Conecuh County,Alabama,0 +Lenox,Cook County,Georgia,0 +Lenox,Taylor County,Iowa,0 +Lenox,Berkshire County,Massachusetts,0 +Lenox,Dent County,Missouri,0 +Lenox,Dyer County,Tennessee,0 +Lenox Dale,Berkshire County,Massachusetts,0 +Lenoxville,Susquehanna County,Pennsylvania,0 +Lentner,Shelby County,Missouri,0 +Lenzburg,St. Clair County,Illinois,0 +Leo,Allen County,Indiana,0 +Leola,Grant County,Arkansas,0 +Leola,Lancaster County,Pennsylvania,0 +Leola,McPherson County,South Dakota,0 +Leoma,Lawrence County,Tennessee,0 +Leominster,Worcester County,Massachusetts,0 +Leon,Decatur County,Iowa,0 +Leon,Butler County,Kansas,0 +Leon,Cattaraugus County,New York,0 +Leon,Love County,Oklahoma,0 +Leon,Madison County,Virginia,0 +Leon,Mason County,West Virginia,0 +Leona,Leon County,Texas,0 +Leonard,Oakland County,Michigan,0 +Leonard,Clearwater County,Minnesota,0 +Leonard,Shelby County,Missouri,0 +Leonard,Cass County,North Dakota,0 +Leonard,Tulsa County,Oklahoma,0 +Leonard,Fannin County,Texas,0 +Leonardo,Monmouth County,New Jersey,0 +Leonardsville,Madison County,New York,0 +Leonardtown,St. Mary's County,Maryland,0 +Leonardville,Riley County,Kansas,0 +Leonia,Bergen County,New Jersey,0 +Leonidas,St. Joseph County,Michigan,0 +Leonore,LaSalle County,Illinois,0 +Leonville,St Landry Parish,Louisiana,0 +Leopold,Perry County,Indiana,0 +Leopold,Bollinger County,Missouri,0 +Leopolis,Shawano County,Wisconsin,0 +Leota,Nobles County,Minnesota,0 +Leoti,Wichita County,Kansas,0 +Lepanto,Poinsett County,Arkansas,0 +Lequire,Haskell County,Oklahoma,0 +Lerna,Coles County,Illinois,0 +Lerona,Mercer County,West Virginia,0 +Leroy,Washington County,Alabama,0 +Leroy,Lake County,Indiana,0 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Peninsula Borough,Alaska,0 +Levels,Hampshire County,West Virginia,0 +Leverett,Franklin County,Massachusetts,0 +Levering,Emmet County,Michigan,0 +Levittown,Nassau County,New York,0 +Levittown,Bucks County,Pennsylvania,0 +Lewellen,Garden County,Nebraska,0 +Lewes,Sussex County,Delaware,0 +Lewis,Montezuma County,Colorado,0 +Lewis,Clay County,Indiana,0 +Lewis,Cass County,Iowa,0 +Lewis,Edwards County,Kansas,0 +Lewis,Essex County,New York,0 +Lewis Center,Delaware County,Ohio,0 +Lewis Run,McKean County,Pennsylvania,0 +Lewisberry,York County,Pennsylvania,0 +Lewisburg,Logan County,Kentucky,0 +Lewisburg,Preble County,Ohio,0 +Lewisburg,Union County,Pennsylvania,0 +Lewisburg,Marshall County,Tennessee,0 +Lewisburg,Greenbrier County,West Virginia,0 +Lewisport,Hancock County,Kentucky,0 +Lewiston,Trinity County,California,0 +Lewiston,Nez Perce County,Idaho,0 +Lewiston,Androscoggin County,Maine,0 +Lewiston,Montmorency County,Michigan,0 +Lewiston,Winona County,Minnesota,0 +Lewiston,Pawnee County,Nebraska,0 +Lewiston,Niagara County,New York,0 +Lewiston,Cache County,Utah,0 +Lewiston Woodville,Bertie County,North Carolina,0 +Lewistown,Fulton County,Illinois,0 +Lewistown,Lewis County,Missouri,0 +Lewistown,Fergus County,Montana,0 +Lewistown,Logan County,Ohio,0 +Lewistown,Mifflin County,Pennsylvania,0 +Lewisville,Lafayette County,Arkansas,0 +Lewisville,Jefferson County,Idaho,0 +Lewisville,Henry County,Indiana,0 +Lewisville,Watonwan County,Minnesota,0 +Lewisville,Forsyth County,North Carolina,0 +Lewisville,Monroe County,Ohio,0 +Lewisville,Chester County,Pennsylvania,0 +Lewisville,Denton County,Texas,0 +Lexa,Phillips County,Arkansas,0 +Lexington,Lauderdale County,Alabama,0 +Lexington,Oglethorpe County,Georgia,0 +Lexington,McLean County,Illinois,0 +Lexington,Scott County,Indiana,0 +Lexington,Fayette County,Kentucky,0 +Lexington,Middlesex County,Massachusetts,0 +Lexington,Sanilac County,Michigan,0 +Lexington,Holmes County,Mississippi,0 +Lexington,Lafayette County,Missouri,0 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County,West Virginia,0 +Liberty Center,Wells County,Indiana,0 +Liberty Center,Warren County,Iowa,0 +Liberty Center,Henry County,Ohio,0 +Liberty Corner,Somerset County,New Jersey,0 +Liberty Hill,Kershaw County,South Carolina,0 +Liberty Hill,Williamson County,Texas,0 +Liberty Lake,Spokane County,Washington,0 +Liberty Mills,Wabash County,Indiana,0 +Libertytown,Frederick County,Maryland,0 +Libertyville,Lake County,Illinois,0 +Libertyville,Jefferson County,Iowa,0 +Libuse,Rapides Parish,Louisiana,0 +Lick Creek,Pike County,Kentucky,0 +Licking,Texas County,Missouri,0 +Lickingville,Clarion County,Pennsylvania,0 +Lidderdale,Carroll County,Iowa,0 +Lidgerwood,Richland County,North Dakota,0 +Liebenthal,Rush County,Kansas,0 +Light,Greene County,Arkansas,0 +Lightfoot,James City,Virginia,0 +Lightstreet,Columbia County,Pennsylvania,0 +Lignite,Burke County,North Dakota,0 +Lignum,Culpeper County,Virginia,0 +Ligonier,Noble County,Indiana,0 +Ligonier,Westmoreland County,Pennsylvania,0 +Liguori,Jefferson County,Missouri,0 +Lihue,Kauai County,Hawaii,0 +Likely,Modoc County,California,0 +Lilbourn,New Madrid County,Missouri,0 +Lilburn,Gwinnett County,Georgia,0 +Lilesville,Anson County,North Carolina,0 +Lillian,Baldwin County,Alabama,0 +Lillian,Johnson County,Texas,0 +Lillie,Union Parish,Louisiana,0 +Lillington,Harnett County,North Carolina,0 +Lilliwaup,Mason County,Washington,0 +Lilly,Dooly County,Georgia,0 +Lilly,Cambria County,Pennsylvania,0 +Lily,Laurel County,Kentucky,0 +Lily Dale,Chautauqua County,New York,0 +Lima,Adams County,Illinois,0 +Lima,Beaverhead County,Montana,0 +Lima,Livingston County,New York,0 +Lima,Allen County,Ohio,0 +Limaville,Stark County,Ohio,0 +Lime Ridge,Sauk County,Wisconsin,0 +Lime Springs,Howard County,Iowa,0 +Limekiln,Berks County,Pennsylvania,0 +Limeport,Lehigh County,Pennsylvania,0 +Limerick,York County,Maine,0 +Limerick,Jefferson County,New York,0 +Limestone,Aroostook County,Maine,0 +Limestone,Cattaraugus County,New York,0 +Limestone,Clarion County,Pennsylvania,0 +Limestone,Washington County,Tennessee,0 +Limington,York County,Maine,0 +Limon,Lincoln County,Colorado,0 +Linch,Johnson County,Wyoming,0 +Lincoln,Talladega County,Alabama,0 +Lincoln,Washington County,Arkansas,0 +Lincoln,Placer County,California,0 +Lincoln,Sussex County,Delaware,0 +Lincoln,Logan County,Illinois,0 +Lincoln,Tama County,Iowa,0 +Lincoln,Lincoln County,Kansas,0 +Lincoln,Penobscot County,Maine,0 +Lincoln,Middlesex County,Massachusetts,0 +Lincoln,Alcona County,Michigan,0 +Lincoln,Benton County,Missouri,0 +Lincoln,Lewis and Clark County,Montana,0 +Lincoln,,Nebraska,0 +Lincoln,Lancaster County,Nebraska,0 +Lincoln,Grafton County,New Hampshire,0 +Lincoln,Lincoln County,New Mexico,0 +Lincoln,Providence County,Rhode Island,0 +Lincoln,Lee County,Texas,0 +Lincoln,Loudoun County,Virginia,0 +Lincoln,Lincoln County,Washington,0 +Lincoln Acres,San Diego County,California,0 +Lincoln City,Spencer County,Indiana,0 +Lincoln City,Lincoln County,Oregon,0 +Lincoln Park,Wayne County,Michigan,0 +Lincoln Park,Morris County,New Jersey,0 +Lincoln University,Chester County,Pennsylvania,0 +Lincolndale,Westchester County,New York,0 +Lincolns New Salem,Menard County,Illinois,0 +Lincolnshire,Lake County,Illinois,0 +Lincolnton,Lincoln County,Georgia,0 +Lincolnton,Lincoln County,North Carolina,50 +Lincolnville,Marion County,Kansas,0 +Lincolnville,Waldo County,Maine,0 +Lincolnville Center,Waldo County,Maine,0 +Lincolnwood,Cook County,Illinois,0 +Lincroft,Monmouth County,New Jersey,0 +Lind,Adams County,Washington,0 +Lindale,Floyd County,Georgia,0 +Lindale,Smith County,Texas,0 +Linden,Marengo County,Alabama,0 +Linden,San Joaquin County,California,0 +Linden,Montgomery County,Indiana,0 +Linden,Dallas County,Iowa,0 +Linden,Genesee County,Michigan,0 +Linden,Union County,New Jersey,0 +Linden,Harnett County,North Carolina,0 +Linden,Lycoming County,Pennsylvania,0 +Linden,Perry County,Tennessee,0 +Linden,Cass County,Texas,0 +Linden,Warren County,Virginia,0 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Lawrence County,New York,0 +Lisbon,Ransom County,North Dakota,0 +Lisbon,Columbiana County,Ohio,0 +Lisbon Falls,Androscoggin County,Maine,0 +Lisco,Garden County,Nebraska,0 +Liscomb,Marshall County,Iowa,0 +Lisle,DuPage County,Illinois,0 +Lisle,Broome County,New York,0 +Lisman,Choctaw County,Alabama,0 +Lismore,Nobles County,Minnesota,0 +Lissie,Wharton County,Texas,0 +Listie,Somerset County,Pennsylvania,0 +Litchfield,Lassen County,California,0 +Litchfield,Litchfield County,Connecticut,0 +Litchfield,Montgomery County,Illinois,0 +Litchfield,Kennebec County,Maine,0 +Litchfield,Hillsdale County,Michigan,0 +Litchfield,Meeker County,Minnesota,0 +Litchfield,Sherman County,Nebraska,0 +Litchfield,Hillsborough County,New Hampshire,0 +Litchfield,Medina County,Ohio,0 +Litchfield Park,Maricopa County,Arizona,0 +Litchville,Barnes County,North Dakota,0 +Literberry,Morgan County,Illinois,0 +Lithia,Hillsborough County,Florida,0 +Lithia Springs,Douglas County,Georgia,0 +Lithonia,DeKalb County,Georgia,0 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Plymouth,King and Queen County,Virginia,0 +Little River,Baldwin County,Alabama,0 +Little River,Mendocino County,California,0 +Little River,Rice County,Kansas,0 +Little River,Horry County,South Carolina,0 +Little River Academy,Bell County,Texas,0 +Little Rock,,Arkansas,0 +Little Rock,Pulaski County,Arkansas,0 +Little Rock,Lyon County,Iowa,0 +Little Rock,Newton County,Mississippi,0 +Little Rock,Dillon County,South Carolina,0 +Little Rock Air Force Base,Pulaski County,Arkansas,0 +Little Silver,Monmouth County,New Jersey,0 +Little Sioux,Harrison County,Iowa,0 +Little Suamico,Oconto County,Wisconsin,0 +Little Switzerland,McDowell County,North Carolina,0 +Little Valley,Cattaraugus County,New York,0 +Little York,Warren County,Illinois,0 +Little York,Washington County,Indiana,0 +Little York,Hunterdon County,New Jersey,0 +Little York,Cortland County,New York,0 +Littlefield,Mohave County,Arizona,0 +Littlefield,Lamb County,Texas,0 +Littlefork,Koochiching County,Minnesota,0 +Littlerock,Los Angeles County,California,0 +Littlerock,Thurston County,Washington,0 +Littlestown,Adams County,Pennsylvania,0 +Littleton,Arapahoe County,Colorado,0 +Littleton,Douglas County,Colorado,0 +Littleton,Jefferson County,Colorado,0 +Littleton,Schuyler County,Illinois,0 +Littleton,Middlesex County,Massachusetts,0 +Littleton,Grafton County,New Hampshire,0 +Littleton,Halifax County,North Carolina,0 +Littleton,Wetzel County,West Virginia,0 +Live Oak,Sutter County,California,0 +Live Oak,Suwannee County,Florida,0 +Lively,Lancaster County,Virginia,0 +Livermore,Alameda County,California,0 +Livermore,Larimer County,Colorado,0 +Livermore,Humboldt County,Iowa,0 +Livermore,McLean County,Kentucky,0 +Livermore,Androscoggin County,Maine,0 +Livermore Falls,Androscoggin County,Maine,0 +Liverpool,Fulton County,Illinois,0 +Liverpool,Onondaga County,New York,0 +Liverpool,Perry County,Pennsylvania,0 +Liverpool,Brazoria County,Texas,0 +Livingston,Sumter County,Alabama,0 +Livingston,Merced County,California,0 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County,South Carolina,0 +Lobelville,Perry County,Tennessee,0 +Loch Sheldrake,Sullivan County,New York,0 +Lochgelly,Fayette County,West Virginia,0 +Lochloosa,Alachua County,Florida,0 +Lochmere,Belknap County,New Hampshire,0 +Lock Haven,Clinton County,Pennsylvania,0 +Lock Springs,Daviess County,Missouri,0 +Lockbourne,Franklin County,Ohio,0 +Lockbourne,Pickaway County,Ohio,0 +Locke,Cayuga County,New York,0 +Lockeford,San Joaquin County,California,0 +Lockesburg,Sevier County,Arkansas,0 +Lockhart,Covington County,Alabama,0 +Lockhart,Union County,South Carolina,0 +Lockhart,Caldwell County,Texas,0 +Lockney,Floyd County,Texas,0 +Lockport,Will County,Illinois,0 +Lockport,Henry County,Kentucky,0 +Lockport,Lafourche Parish,Louisiana,0 +Lockport,Niagara County,New York,0 +Lockridge,Jefferson County,Iowa,0 +Lockwood,Monterey County,California,0 +Lockwood,Dade County,Missouri,0 +Lockwood,Tioga County,New York,0 +Loco,Stephens County,Oklahoma,0 +Loco Hills,Eddy County,New Mexico,0 +Locust,Stanly County,North Carolina,0 +Locust Dale,Madison County,Virginia,0 +Locust Fork,Blount County,Alabama,0 +Locust Gap,Northumberland County,Pennsylvania,0 +Locust Grove,Independence County,Arkansas,0 +Locust Grove,Henry County,Georgia,0 +Locust Grove,Mayes County,Oklahoma,0 +Locust Grove,Orange County,Virginia,0 +Locust Hill,Middlesex County,Virginia,0 +Locust Valley,Nassau County,New York,0 +Locustdale,Columbia County,Pennsylvania,0 +Locustville,Accomack County,Virginia,0 +Loda,Iroquois County,Illinois,0 +Lodge,Colleton County,South Carolina,0 +Lodge Grass,Big Horn County,Montana,0 +Lodgepole,Cheyenne County,Nebraska,0 +Lodgepole,Perkins County,South Dakota,0 +Lodi,San Joaquin County,California,0 +Lodi,Wayne County,Missouri,0 +Lodi,Bergen County,New Jersey,0 +Lodi,Seneca County,New York,0 +Lodi,Medina County,Ohio,0 +Lodi,Marion County,Texas,0 +Lodi,Columbia County,Wisconsin,0 +Log Lane Village,Morgan County,Colorado,0 +Logan,Cullman County,Alabama,0 +Logan,Franklin County,Illinois,0 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County,Minnesota,0 +Loogootee,Fayette County,Illinois,0 +Loogootee,Martin County,Indiana,0 +Lookeba,Caddo County,Oklahoma,0 +Lookout,Modoc County,California,0 +Lookout,Pike County,Kentucky,0 +Lookout,Fayette County,West Virginia,0 +Lookout Mountain,Walker County,Georgia,0 +Lookout Mountain,Hamilton County,Tennessee,0 +Loomis,Placer County,California,0 +Loomis,Phelps County,Nebraska,0 +Loomis,Okanogan County,Washington,0 +Loon Lake,Stevens County,Washington,0 +Looneyville,Roane County,West Virginia,0 +Loop,Gaines County,Texas,0 +Loose Creek,Osage County,Missouri,0 +Lopeno,Zapata County,Texas,0 +Lopez,Sullivan County,Pennsylvania,0 +Lopez Island,San Juan County,Washington,0 +Lorado,Logan County,West Virginia,0 +Lorain,Lorain County,Ohio,0 +Loraine,Adams County,Illinois,0 +Loraine,Mitchell County,Texas,0 +Lorane,Lane County,Oregon,0 +Loranger,Tangipahoa Parish,Louisiana,0 +Lordsburg,Hidalgo County,New Mexico,0 +Lore City,Guernsey County,Ohio,0 +Loreauville,Iberia Parish,Louisiana,0 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County,California,0 +Los Gatos,Santa Cruz County,California,0 +Los Indios,Cameron County,Texas,0 +Los Lunas,Valencia County,New Mexico,0 +Los Molinos,Tehama County,California,0 +Los Ojos,Rio Arriba County,New Mexico,0 +Los Olivos,Santa Barbara County,California,0 +Los Osos,San Luis Obispo County,California,0 +Losantville,Randolph County,Indiana,0 +Lost City,Hardy County,West Virginia,0 +Lost Creek,Breathitt County,Kentucky,0 +Lost Creek,Schuylkill County,Pennsylvania,0 +Lost Creek,Harrison County,West Virginia,0 +Lost Hills,Kern County,California,0 +Lost Nation,Clinton County,Iowa,0 +Lost Springs,Marion County,Kansas,0 +Lost Springs,Niobrara County,Wyoming,0 +Lostant,LaSalle County,Illinois,0 +Lostine,Wallowa County,Oregon,0 +Lothair,Liberty County,Montana,0 +Lothian,Anne Arundel County,Maryland,0 +Lott,Falls County,Texas,0 +Lottie,Pointe Coupee Parish,Louisiana,0 +Lottsburg,Northumberland County,Virginia,0 +Lotus,El Dorado County,California,0 +Louann,Ouachita County,Arkansas,0 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County,Kentucky,0 +Lovelady,Houston County,Texas,0 +Loveland,Larimer County,Colorado,0 +Loveland,Clermont County,Ohio,0 +Loveland,Tillman County,Oklahoma,0 +Lovell,Oxford County,Maine,0 +Lovell,Big Horn County,Wyoming,0 +Lovelock,Pershing County,Nevada,0 +Lovely,Martin County,Kentucky,0 +Loves Park,Winnebago County,Illinois,0 +Lovettsville,Loudoun County,Virginia,0 +Loveville,St. Mary's County,Maryland,0 +Lovilia,Monroe County,Iowa,0 +Loving,Eddy County,New Mexico,0 +Loving,Young County,Texas,0 +Lovingston,Nelson County,Virginia,0 +Lovington,Moultrie County,Illinois,0 +Lovington,Lea County,New Mexico,0 +Low Moor,Clinton County,Iowa,0 +Low Moor,Alleghany County,Virginia,0 +Lowake,Concho County,Texas,0 +Lowber,Westmoreland County,Pennsylvania,0 +Lowden,Cedar County,Iowa,0 +Lowder,Sangamon County,Illinois,0 +Lowell,Benton County,Arkansas,0 +Lowell,Marion County,Florida,0 +Lowell,Lake County,Indiana,0 +Lowell,Middlesex County,Massachusetts,0 +Lowell,Kent County,Michigan,0 +Lowell,Gaston County,North Carolina,0 +Lowell,Washington County,Ohio,0 +Lowell,Lane County,Oregon,0 +Lowell,Orleans County,Vermont,0 +Lowell,Dodge County,Wisconsin,0 +Lowellville,Mahoning County,Ohio,0 +Lower Brule,Lyman County,South Dakota,0 +Lower Kalskag,Bethel Census Area,Alaska,0 +Lower Lake,Lake County,California,0 +Lower Peach Tree,Monroe County,Alabama,0 +Lower Salem,Washington County,Ohio,0 +Lower Waterford,Caledonia County,Vermont,0 +Lowes,Graves County,Kentucky,0 +Lowgap,Surry County,North Carolina,0 +Lowland,Pamlico County,North Carolina,0 +Lowland,Hamblen County,Tennessee,0 +Lowman,Boise County,Idaho,0 +Lowman,Chemung County,New York,0 +Lowmansville,Lawrence County,Kentucky,0 +Lowndes,Wayne County,Missouri,0 +Lowndesboro,Lowndes County,Alabama,0 +Lowndesville,Abbeville County,South Carolina,0 +Lowpoint,Woodford County,Illinois,0 +Lowry,Pope County,Minnesota,0 +Lowry,Bedford County,Virginia,0 +Lowry City,St. Clair County,Missouri,0 +Lowville,Lewis County,New York,0 +Loxahatchee,Palm Beach County,Florida,0 +Loxley,Baldwin County,Alabama,0 +Loyal,Kingfisher County,Oklahoma,0 +Loyal,Clark County,Wisconsin,0 +Loyalhanna,Westmoreland County,Pennsylvania,0 +Loyall,Harlan County,Kentucky,0 +Loyalton,Sierra County,California,0 +Loysburg,Bedford County,Pennsylvania,0 +Loysville,Perry County,Pennsylvania,0 +Lozano,Cameron County,Texas,0 +Lu Verne,Kossuth County,Iowa,0 +Luana,Clayton County,Iowa,0 +Lubbock,Lubbock County,Texas,0 +Lubec,Washington County,Maine,0 +Lublin,Taylor County,Wisconsin,0 +Lucama,Wilson County,North Carolina,0 +Lucan,Redwood County,Minnesota,0 +Lucas,Lucas County,Iowa,0 +Lucas,Russell County,Kansas,0 +Lucas,Barren County,Kentucky,0 +Lucas,Richland County,Ohio,0 +Lucasville,Scioto County,Ohio,0 +Lucedale,George County,Mississippi,0 +Lucerne,Lake County,California,0 +Lucerne,Weld County,Colorado,0 +Lucerne,Cass County,Indiana,0 +Lucerne,Putnam County,Missouri,0 +Lucerne Valley,San Bernardino County,California,0 +Lucernemines,Indiana County,Pennsylvania,0 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County,Pennsylvania,0 +Lusby,Calvert County,Maryland,0 +Lusk,Niobrara County,Wyoming,0 +Lutcher,St. James Parish,Louisiana,0 +Luther,Boone County,Iowa,0 +Luther,Lake County,Michigan,0 +Luther,Oklahoma County,Oklahoma,0 +Luthersburg,Clearfield County,Pennsylvania,0 +Luthersville,Meriwether County,Georgia,0 +Lutherville Timonium,Baltimore County,Maryland,0 +Lutsen,Cook County,Minnesota,0 +Luttrell,Union County,Tennessee,0 +Lutts,Wayne County,Tennessee,0 +Lutz,Hillsborough County,Florida,0 +Luverne,Crenshaw County,Alabama,0 +Luverne,Rock County,Minnesota,0 +Luverne,Steele County,North Dakota,0 +Luxemburg,Dubuque County,Iowa,0 +Luxemburg,Kewaunee County,Wisconsin,0 +Luxor,Westmoreland County,Pennsylvania,0 +Luxora,Mississippi County,Arkansas,0 +Luzerne,Benton County,Iowa,0 +Luzerne,Oscoda County,Michigan,0 +Luzerne,Luzerne County,Pennsylvania,0 +Lyburn,Logan County,West Virginia,0 +Lycoming,Oswego County,New York,0 +Lydia,Iberia Parish,Louisiana,0 +Lydia,Darlington County,South Carolina,0 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County,Washington,0 +Lyndhurst,Bergen County,New Jersey,0 +Lyndhurst,Augusta County,Virginia,0 +Lyndon,Whiteside County,Illinois,0 +Lyndon,Osage County,Kansas,0 +Lyndon,Caledonia County,Vermont,0 +Lyndon Center,Caledonia County,Vermont,0 +Lyndon Station,Juneau County,Wisconsin,0 +Lyndonville,Orleans County,New York,0 +Lyndonville,Caledonia County,Vermont,0 +Lyndora,Butler County,Pennsylvania,0 +Lynn,Winston County,Alabama,0 +Lynn,Lawrence County,Arkansas,0 +Lynn,Randolph County,Indiana,0 +Lynn,Essex County,Massachusetts,0 +Lynn,Polk County,North Carolina,0 +Lynn Center,Henry County,Illinois,0 +Lynn Haven,Bay County,Florida,0 +Lynndyl,Millard County,Utah,0 +Lynnfield,Essex County,Massachusetts,0 +Lynnville,Warrick County,Indiana,0 +Lynnville,Jasper County,Iowa,0 +Lynnville,Graves County,Kentucky,0 +Lynnville,Giles County,Tennessee,0 +Lynnwood,Snohomish County,Washington,0 +Lynwood,Los Angeles County,California,0 +Lynx,Adams County,Ohio,0 +Lynxville,Crawford County,Wisconsin,0 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County,Illinois,0 +Mackinaw City,Emmet County,Michigan,0 +Macks Creek,Camden County,Missouri,0 +Macks Inn,Fremont County,Idaho,0 +Macksburg,Madison County,Iowa,0 +Macksburg,Washington County,Ohio,0 +Macksville,Stafford County,Kansas,0 +Mackville,Washington County,Kentucky,0 +Macomb,McDonough County,Illinois,0 +Macomb,Macomb County,Michigan,0 +Macomb,Wright County,Missouri,0 +Macomb,Pottawatomie County,Oklahoma,0 +Macon,Bibb County,Georgia,0 +Macon,Macon County,Illinois,0 +Macon,Noxubee County,Mississippi,0 +Macon,Macon County,Missouri,0 +Macon,Warren County,North Carolina,0 +Macon,Fayette County,Tennessee,0 +Macon,Powhatan County,Virginia,0 +Macungie,Lehigh County,Pennsylvania,0 +Macy,Miami County,Indiana,0 +Macy,Thurston County,Nebraska,0 +Mad River,Trinity County,California,0 +Madawaska,Aroostook County,Maine,0 +Madbury,Strafford County,New Hampshire,0 +Madden,Leake County,Mississippi,0 +Maddock,Benson County,North Dakota,0 +Madelia,Watonwan County,Minnesota,0 +Madeline,Lassen County,California,0 +Madera,Madera County,California,0 +Madera,Clearfield County,Pennsylvania,0 +Madill,Marshall County,Oklahoma,0 +Madison,Limestone County,Alabama,0 +Madison,Madison County,Alabama,0 +Madison,St. Francis County,Arkansas,0 +Madison,Yolo County,California,0 +Madison,New Haven County,Connecticut,0 +Madison,Madison County,Florida,0 +Madison,Morgan County,Georgia,0 +Madison,Madison County,Illinois,0 +Madison,Jefferson County,Indiana,0 +Madison,Greenwood County,Kansas,0 +Madison,Somerset County,Maine,0 +Madison,Dorchester County,Maryland,0 +Madison,Lac qui Parle County,Minnesota,0 +Madison,Madison County,Mississippi,0 +Madison,Monroe County,Missouri,0 +Madison,Madison County,Nebraska,0 +Madison,Carroll County,New Hampshire,0 +Madison,Morris County,New Jersey,0 +Madison,Madison County,New York,0 +Madison,Rockingham County,North Carolina,0 +Madison,Lake County,Ohio,0 +Madison,Westmoreland County,Pennsylvania,0 +Madison,Lake County,South Dakota,0 +Madison,Davidson County,Tennessee,0 +Madison,Madison County,Virginia,0 +Madison,Boone County,West Virginia,0 +Madison,Dane County,Wisconsin,0 +Madison,Waukesha County,Wisconsin,0 +Madison Heights,Oakland County,Michigan,0 +Madison Heights,Amherst County,Virginia,0 +Madison Lake,Blue Earth County,Minnesota,0 +Madisonburg,Centre County,Pennsylvania,0 +Madisonville,Hopkins County,Kentucky,0 +Madisonville,St. Tammany Parish,Louisiana,0 +Madisonville,Monroe County,Tennessee,0 +Madisonville,Madison County,Texas,0 +Madras,Jefferson County,Oregon,0 +Madrid,Boone County,Iowa,0 +Madrid,Perkins County,Nebraska,0 +Madrid,St. Lawrence County,New York,0 +Maeystown,Monroe County,Illinois,0 +Magalia,Butte County,California,0 +Magazine,Logan County,Arkansas,0 +Magdalena,Socorro County,New Mexico,0 +Magee,Simpson County,Mississippi,0 +Maggie Valley,Haywood County,North Carolina,0 +Magna,Salt Lake County,Utah,0 +Magness,Independence County,Arkansas,0 +Magnet,Cedar County,Nebraska,0 +Magnetic Springs,Union County,Ohio,0 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County,West Virginia,0 +Maine,Broome County,New York,0 +Mainesburg,Tioga County,Pennsylvania,0 +Maineville,Warren County,Ohio,0 +Mainland,Montgomery County,Pennsylvania,0 +Maitland,Orange County,Florida,0 +Maitland,Holt County,Missouri,0 +Maize,Sedgwick County,Kansas,0 +Majestic,Pike County,Kentucky,0 +Makanda,Jackson County,Illinois,0 +Makawao,Maui County,Hawaii,0 +Makaweli,Kauai County,Hawaii,0 +Makinen,St. Louis County,Minnesota,0 +Makoti,Ward County,North Dakota,0 +Malabar,Brevard County,Florida,0 +Malad City,Oneida County,Idaho,0 +Malaga,Gloucester County,New Jersey,0 +Malaga,Eddy County,New Mexico,0 +Malaga,Monroe County,Ohio,0 +Malaga,Chelan County,Washington,0 +Malakoff,Henderson County,Texas,0 +Malcolm,Washington County,Alabama,0 +Malcolm,Lancaster County,Nebraska,0 +Malcom,Poweshiek County,Iowa,0 +Malden,Bureau County,Illinois,0 +Malden,Middlesex County,Massachusetts,0 +Malden,Dunklin County,Missouri,0 +Malden,Whitman County,Washington,0 +Malden Bridge,Columbia County,New York,0 +Malden On Hudson,Ulster County,New York,0 +Malibu,Los Angeles County,California,0 +Malin,Klamath County,Oregon,0 +Malinta,Henry County,Ohio,0 +Maljamar,Lea County,New Mexico,0 +Mallard,Palo Alto County,Iowa,0 +Mallie,Knott County,Kentucky,0 +Mallory,Oswego County,New York,0 +Mallory,Logan County,West Virginia,0 +Malmo,Saunders County,Nebraska,0 +Malmstrom A F B,Cascade County,Montana,0 +Malo,Ferry County,Washington,0 +Malone,Jackson County,Florida,0 +Malone,Morgan County,Kentucky,0 +Malone,Franklin County,New York,0 +Malone,Hill County,Texas,0 +Malone,Grays Harbor County,Washington,0 +Malone,Fond du Lac County,Wisconsin,0 +Malott,Okanogan County,Washington,0 +Malta,Cassia County,Idaho,0 +Malta,DeKalb County,Illinois,0 +Malta,Phillips County,Montana,0 +Malta,Morgan County,Ohio,0 +Malta Bend,Saline County,Missouri,0 +Malvern,Geneva County,Alabama,0 +Malvern,Hot Spring County,Arkansas,0 +Malvern,Mills County,Iowa,0 +Malvern,Carroll County,Ohio,0 +Malvern,Chester County,Pennsylvania,0 +Malverne,Nassau County,New York,0 +Mamaroneck,Westchester County,New York,0 +Mamers,Harnett County,North Carolina,0 +Mammoth,Pinal County,Arizona,0 +Mammoth,Westmoreland County,Pennsylvania,0 +Mammoth,Kanawha County,West Virginia,0 +Mammoth Cave,Edmonson County,Kentucky,0 +Mammoth Lakes,Mono County,California,0 +Mammoth Spring,Fulton County,Arkansas,0 +Mamou,Evangeline Parish,Louisiana,0 +Man,Logan County,West Virginia,0 +Manahawkin,Ocean County,New Jersey,0 +Manakin Sabot,Goochland County,Virginia,0 +Manasquan,Monmouth County,New Jersey,0 +Manassa,Conejos County,Colorado,0 +Manassas,Tattnall County,Georgia,0 +Manassas,Manassas City,Virginia,0 +Manassas,Manassas city,Virginia,0 +Manassas,Prince William County,Virginia,0 +Manati,Manati Municipio,Puerto Rico,0 +Manawa,Waupaca County,Wisconsin,0 +Mancelona,Antrim County,Michigan,0 +Manchaca,Travis County,Texas,0 +Manchaug,Worcester County,Massachusetts,0 +Manchester,Mendocino County,California,0 +Manchester,Hartford County,Connecticut,0 +Manchester,Meriwether County,Georgia,0 +Manchester,Scott County,Illinois,0 +Manchester,Delaware County,Iowa,0 +Manchester,Clay County,Kentucky,0 +Manchester,Kennebec County,Maine,0 +Manchester,Carroll County,Maryland,0 +Manchester,Essex County,Massachusetts,0 +Manchester,Washtenaw County,Michigan,0 +Manchester,Hillsborough County,New Hampshire,0 +Manchester,Ontario County,New York,0 +Manchester,Adams County,Ohio,0 +Manchester,Grant County,Oklahoma,0 +Manchester,York County,Pennsylvania,0 +Manchester,Coffee County,Tennessee,0 +Manchester,Bennington County,Vermont,0 +Manchester,Kitsap County,Washington,0 +Manchester Center,Bennington County,Vermont,0 +Manchester Township,Ocean County,New Jersey,0 +Mancos,Montezuma County,Colorado,0 +Mandan,Morton County,North Dakota,0 +Mandaree,Dunn County,North Dakota,0 +Manderson,Shannon County,South Dakota,0 +Manderson,Big Horn County,Wyoming,0 +Mandeville,St Tammany Parish,Louisiana,0 +Mandeville,St. Tammany Parish,Louisiana,0 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Springs,Yukon-Koyukuk Census Area,Alaska,0 +Manlius,Bureau County,Illinois,0 +Manlius,Onondaga County,New York,0 +Manly,Worth County,Iowa,0 +Mannboro,Amelia County,Virginia,0 +Mannford,Creek County,Oklahoma,0 +Manning,Carroll County,Iowa,0 +Manning,Dunn County,North Dakota,0 +Manning,Washington County,Oregon,0 +Manning,Clarendon County,South Carolina,0 +Mannington,Marion County,West Virginia,0 +Manns Choice,Bedford County,Pennsylvania,0 +Manns Harbor,Dare County,North Carolina,0 +Mannsville,Taylor County,Kentucky,0 +Mannsville,Jefferson County,New York,0 +Mannsville,Johnston County,Oklahoma,0 +Manokin,Somerset County,Maryland,0 +Manokotak,Dillingham Census Area,Alaska,0 +Manomet,Plymouth County,Massachusetts,0 +Manor,Ware County,Georgia,0 +Manor,Westmoreland County,Pennsylvania,0 +Manor,Travis County,Texas,0 +Manorville,Suffolk County,New York,0 +Manorville,Armstrong County,Pennsylvania,0 +Manquin,King William County,Virginia,0 +Mansfield,Sebastian County,Arkansas,0 +Mansfield,Jasper County,Georgia,0 +Mansfield,Piatt County,Illinois,0 +Mansfield,De Soto Parish,Louisiana,0 +Mansfield,Bristol County,Massachusetts,0 +Mansfield,Wright County,Missouri,0 +Mansfield,Richland County,Ohio,0 +Mansfield,Tioga County,Pennsylvania,0 +Mansfield,Brown County,South Dakota,0 +Mansfield,Henry County,Tennessee,0 +Mansfield,Tarrant County,Texas,0 +Mansfield,Douglas County,Washington,0 +Mansfield Center,Tolland County,Connecticut,0 +Mansfield Depot,Tolland County,Connecticut,0 +Manson,Calhoun County,Iowa,0 +Manson,Warren County,North Carolina,0 +Manson,Chelan County,Washington,0 +Mansura,Avoyelles Parish,Louisiana,0 +Mantachie,Itawamba County,Mississippi,0 +Mantador,Richland County,North Dakota,0 +Manteca,San Joaquin County,California,0 +Mantee,Webster County,Mississippi,0 +Manteno,Kankakee County,Illinois,0 +Manteo,Dare County,North Carolina,0 +Manter,Stanton County,Kansas,0 +Manti,Sanpete County,Utah,0 +Mantoloking,Ocean County,New Jersey,0 +Manton,Tehama County,California,0 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Plain,Hennepin County,Minnesota,0 +Maple Rapids,Clinton County,Michigan,0 +Maple Shade,Burlington County,New Jersey,0 +Maple Springs,Chautauqua County,New York,0 +Maple Valley,King County,Washington,0 +Maple View,Oswego County,New York,0 +Maplecrest,Greene County,New York,0 +Maplesville,Chilton County,Alabama,0 +Mapleton,Peoria County,Illinois,0 +Mapleton,Monona County,Iowa,0 +Mapleton,Bourbon County,Kansas,0 +Mapleton,Aroostook County,Maine,0 +Mapleton,Blue Earth County,Minnesota,0 +Mapleton,Cass County,North Dakota,0 +Mapleton,Lane County,Oregon,0 +Mapleton,Utah County,Utah,0 +Mapleton Depot,Huntingdon County,Pennsylvania,0 +Mapleville,Providence County,Rhode Island,0 +Maplewood,Essex County,New Jersey,0 +Maplewood,Shelby County,Ohio,0 +Maplewood,Door County,Wisconsin,0 +Mappsville,Accomack County,Virginia,0 +Maquoketa,Jackson County,Iowa,0 +Maquon,Knox County,Illinois,0 +Mar Lin,Schuylkill County,Pennsylvania,0 +Maramec,Payne County,Oklahoma,0 +Marana,Pima County,Arizona,0 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County,California,0 +Marchand,Indiana County,Pennsylvania,0 +Marco Island,Collier County,Florida,0 +Marcola,Lane County,Oregon,0 +Marcus,Cherokee County,Iowa,0 +Marcus,Stevens County,Washington,0 +Marcus Hook,Delaware County,Pennsylvania,0 +Marcy,Oneida County,New York,0 +Mardela Springs,Wicomico County,Maryland,0 +Marengo,McHenry County,Illinois,0 +Marengo,Crawford County,Indiana,0 +Marengo,Iowa County,Iowa,0 +Marengo,Morrow County,Ohio,0 +Marengo,Ashland County,Wisconsin,0 +Marenisco,Gogebic County,Michigan,0 +Marfa,Presidio County,Texas,0 +Margaret,St. Clair County,Alabama,0 +Margarettsville,Northampton County,North Carolina,0 +Margaretville,Delaware County,New York,0 +Margate,Broward County,Florida,0 +Margate City,Atlantic County,New Jersey,0 +Margie,Koochiching County,Minnesota,0 +Maria Stein,Mercer County,Ohio,0 +Mariah Hill,Spencer County,Indiana,0 +Marianna,Lee County,Arkansas,0 +Marianna,Jackson County,Florida,0 +Marianna,Washington County,Pennsylvania,0 +Marianna,Wyoming County,West Virginia,0 +Maribel,Manitowoc County,Wisconsin,0 +Maricao,Maricao Municipio,Puerto Rico,0 +Maricopa,Pinal County,Arizona,0 +Maricopa,Kern County,California,0 +Marienthal,Wichita County,Kansas,0 +Marienville,Forest County,Pennsylvania,0 +Marietta,Cobb County,Georgia,0 +Marietta,Fulton County,Illinois,0 +Marietta,Lac qui Parle County,Minnesota,0 +Marietta,Itawamba County,Mississippi,0 +Marietta,Onondaga County,New York,0 +Marietta,Robeson County,North Carolina,0 +Marietta,Washington County,Ohio,0 +Marietta,Love County,Oklahoma,0 +Marietta,Lancaster County,Pennsylvania,0 +Marietta,Greenville County,South Carolina,0 +Marietta,Cass County,Texas,0 +Marilla,Erie County,New York,0 +Marina,Monterey County,California,0 +Marina Del Rey,Los Angeles County,California,0 +Marine,Madison County,Illinois,0 +Marine City,St. Clair County,Michigan,0 +Marine On Saint Croix,Washington County,Minnesota,0 +Marinette,Marinette County,Wisconsin,0 +Maringouin,Iberville Parish,Louisiana,0 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County,Kentucky,0 +Mary D,Schuylkill County,Pennsylvania,0 +Mary Esther,Okaloosa County,Florida,0 +Marydel,Kent County,Delaware,0 +Marydel,Caroline County,Maryland,0 +Maryknoll,Westchester County,New York,0 +Maryland,Otsego County,New York,0 +Maryland Heights,St. Louis County,Missouri,0 +Maryland Line,Baltimore County,Maryland,0 +Marylhurst,Clackamas County,Oregon,0 +Maryneal,Nolan County,Texas,0 +Marysvale,Piute County,Utah,0 +Marysville,Yuba County,California,0 +Marysville,Clark County,Indiana,0 +Marysville,Marshall County,Kansas,0 +Marysville,St. Clair County,Michigan,0 +Marysville,Lewis and Clark County,Montana,0 +Marysville,Union County,Ohio,0 +Marysville,Perry County,Pennsylvania,0 +Marysville,Snohomish County,Washington,0 +Maryus,Gloucester County,Virginia,0 +Maryville,Madison County,Illinois,0 +Maryville,Nodaway County,Missouri,0 +Maryville,Blount County,Tennessee,0 +Mascot,Knox County,Tennessee,0 +Mascot,King and Queen County,Virginia,0 +Mascotte,Lake County,Florida,0 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County,Maryland,0 +Massillon,Stark County,Ohio,0 +Masterson,Potter County,Texas,0 +Mastic,Suffolk County,New York,0 +Mastic Beach,Suffolk County,New York,0 +Masury,Trumbull County,Ohio,0 +Matador,Motley County,Texas,0 +Matagorda,Matagorda County,Texas,0 +Matamoras,Pike County,Pennsylvania,0 +Matawan,Monmouth County,New Jersey,0 +Matewan,Mingo County,West Virginia,0 +Matfield Green,Chase County,Kansas,0 +Matheny,Wyoming County,West Virginia,0 +Mather,Sacramento County,California,0 +Mather,Greene County,Pennsylvania,0 +Mather,Jackson County,Wisconsin,0 +Matherville,Mercer County,Illinois,0 +Matheson,Elbert County,Colorado,0 +Mathews,Montgomery County,Alabama,0 +Mathews,Lafourche Parish,Louisiana,0 +Mathews,Mathews County,Virginia,0 +Mathias,Hardy County,West Virginia,0 +Mathis,San Patricio County,Texas,0 +Mathiston,Webster County,Mississippi,0 +Matinicus,Knox County,Maine,0 +Matlock,Sioux County,Iowa,0 +Matlock,Mason County,Washington,0 +Matoaka,Mercer County,West Virginia,0 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Virginia,0 +May,Lemhi County,Idaho,0 +May,Harper County,Oklahoma,0 +May,Brown County,Texas,0 +Mayaguez,,Puerto Rico,0 +Mayaguez,Mayaguez Municipio,Puerto Rico,0 +Maybee,Monroe County,Michigan,0 +Maybell,Moffat County,Colorado,0 +Maybeury,McDowell County,West Virginia,0 +Maybrook,Orange County,New York,0 +Maydelle,Cherokee County,Texas,0 +Mayer,Yavapai County,Arizona,0 +Mayer,Carver County,Minnesota,0 +Mayersville,Issaquena County,Mississippi,0 +Mayesville,Sumter County,South Carolina,0 +Mayetta,Jackson County,Kansas,0 +Mayfield,Sumner County,Kansas,0 +Mayfield,Graves County,Kentucky,0 +Mayfield,Grand Traverse County,Michigan,0 +Mayfield,Fulton County,New York,0 +Mayfield,Sanpete County,Utah,0 +Mayflower,Faulkner County,Arkansas,0 +Mayhew,Lowndes County,Mississippi,0 +Mayhill,Otero County,New Mexico,0 +Mayking,Letcher County,Kentucky,0 +Maylene,Shelby County,Alabama,0 +Maynard,Randolph County,Arkansas,0 +Maynard,Fayette County,Iowa,0 +Maynard,Middlesex County,Massachusetts,0 +Maynard,Chippewa County,Minnesota,0 +Maynard,Belmont County,Ohio,0 +Maynardville,Union County,Tennessee,0 +Mayo,Lafayette County,Florida,0 +Mayo,Anne Arundel County,Maryland,0 +Mayo,Spartanburg County,South Carolina,0 +Mayodan,Rockingham County,North Carolina,0 +Maypearl,Ellis County,Texas,0 +Mayport,Clarion County,Pennsylvania,0 +Mays,Rush County,Indiana,0 +Mays Landing,Atlantic County,New Jersey,0 +Maysel,Clay County,West Virginia,0 +Mayslick,Mason County,Kentucky,0 +Maysville,Benton County,Arkansas,0 +Maysville,Jackson County,Georgia,0 +Maysville,Mason County,Kentucky,0 +Maysville,DeKalb County,Missouri,0 +Maysville,Dekalb County,Missouri,0 +Maysville,Onslow County,North Carolina,0 +Maysville,Garvin County,Oklahoma,0 +Maysville,Grant County,West Virginia,0 +Maytown,Lancaster County,Pennsylvania,0 +Mayview,Lafayette County,Missouri,0 +Mayville,Tuscola County,Michigan,0 +Mayville,Chautauqua County,New York,0 +Mayville,Traill County,North Dakota,0 +Mayville,Dodge County,Wisconsin,0 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Caskill,Hempstead County,Arkansas,0 +Mc Caulley,Fisher County,Texas,0 +Mc Causland,Scott County,Iowa,0 +Mc Caysville,Fannin County,Georgia,0 +Mc Clave,Bent County,Colorado,0 +Mc Clelland,Pottawattamie County,Iowa,0 +Mc Clellandtown,Fayette County,Pennsylvania,0 +Mc Clellanville,Charleston County,South Carolina,0 +Mc Clure,Alexander County,Illinois,0 +Mc Clure,Henry County,Ohio,0 +Mc Clure,Mifflin County,Pennsylvania,0 +Mc Clure,Dickenson County,Virginia,0 +Mc Clurg,Taney County,Missouri,0 +Mc Coll,Marlboro County,South Carolina,0 +Mc Comb,Hancock County,Ohio,0 +Mc Connell,Stephenson County,Illinois,0 +Mc Connells,York County,South Carolina,0 +Mc Connellsburg,Fulton County,Pennsylvania,0 +Mc Connellstown,Huntingdon County,Pennsylvania,0 +Mc Connellsville,Oneida County,New York,0 +Mc Cook,Red Willow County,Nebraska,0 +Mc Cool,Attala County,Mississippi,0 +Mc Cool Junction,York County,Nebraska,0 +Mc Cordsville,Hancock County,Indiana,0 +Mc Cormick,McCormick County,South Carolina,0 +Mc Coy,Routt County,Colorado,0 +Mc Coy,Pulaski County,Virginia,0 +Mc Cracken,Rush County,Kansas,0 +Mc Crory,Woodruff County,Arkansas,0 +Mc Cune,Crawford County,Kansas,0 +Mc Cutchenville,Wyandot County,Ohio,0 +Mc Dade,Bastrop County,Texas,0 +Mc Daniels,Breckinridge County,Kentucky,0 +Mc David,Escambia County,Florida,0 +Mc Dermitt,Humboldt County,Nevada,0 +Mc Dermott,Scioto County,Ohio,0 +Mc Donald,Rawlins County,Kansas,0 +Mc Donald,Trumbull County,Ohio,0 +Mc Donald,Washington County,Pennsylvania,0 +Mc Donald,Bradley County,Tennessee,0 +Mc Donough,Chenango County,New York,0 +Mc Dougal,Clay County,Arkansas,0 +Mc Dowell,Floyd County,Kentucky,0 +Mc Dowell,Highland County,Virginia,0 +Mc Elhattan,Clinton County,Pennsylvania,0 +Mc Ewen,Humphreys County,Tennessee,0 +Mc Ewensville,Northumberland County,Pennsylvania,0 +Mc Fall,Gentry County,Missouri,0 +Mc Farlan,Anson County,North Carolina,0 +Mc Farland,Kern County,California,0 +Mc Farland,Wabaunsee County,Kansas,0 +Mc Farland,Dane County,Wisconsin,0 +Mc Gaheysville,Rockingham County,Virginia,0 +Mc Gee,Wayne County,Missouri,0 +Mc Gehee,Desha County,Arkansas,0 +Mc Gill,White Pine County,Nevada,0 +Mc Girk,Moniteau County,Missouri,0 +Mc Grady,Wilkes County,North Carolina,0 +Mc Grann,Armstrong County,Pennsylvania,0 +Mc Grath,Yukon-Koyukuk Census Area,Alaska,0 +Mc Grath,Aitkin County,Minnesota,0 +Mc Graw,Cortland County,New York,0 +Mc Graws,Wyoming County,West Virginia,0 +Mc Gregor,Clayton County,Iowa,0 +Mc Gregor,McLennan County,Texas,0 +Mc Guffey,Hardin County,Ohio,0 +Mc Henry,Ohio County,Kentucky,0 +Mc Henry,Garrett County,Maryland,0 +Mc Henry,Stone County,Mississippi,0 +Mc Indoe Falls,Caledonia County,Vermont,0 +Mc Intire,Mitchell County,Iowa,0 +Mc Intosh,Washington County,Alabama,0 +Mc Intosh,Marion County,Florida,0 +Mc Intosh,Corson County,South Dakota,0 +Mc Intyre,Wilkinson County,Georgia,0 +Mc Intyre,Indiana County,Pennsylvania,0 +Mc Kean,Erie County,Pennsylvania,0 +Mc Kee,Jackson County,Kentucky,0 +Mc Kees Rocks,Allegheny County,Pennsylvania,0 +Mc Kenney,Dinwiddie County,Virginia,0 +Mc Kenzie,Butler County,Alabama,0 +Mc Kenzie,Carroll County,Tennessee,0 +Mc Kinney,Lincoln County,Kentucky,0 +Mc Kinnon,Sweetwater County,Wyoming,0 +Mc Kittrick,Kern County,California,0 +Mc Knightstown,Adams County,Pennsylvania,0 +Mc Lain,Greene County,Mississippi,0 +Mc Laughlin,Corson County,South Dakota,0 +Mc Lean,McLean County,Illinois,0 +Mc Lean,Tompkins County,New York,0 +Mc Lean,Fairfax County,Virginia,50 +Mc Leansboro,Hamilton County,Illinois,0 +Mc Leansville,Guilford County,North Carolina,0 +Mc Lemoresville,Carroll County,Tennessee,0 +Mc Leod,Sweet Grass County,Montana,0 +Mc Leod,Cass County,Texas,0 +Mc Louth,Jefferson County,Kansas,0 +Mc Millan,Luce County,Michigan,0 +Mc Nabb,Putnam County,Illinois,0 +Mc Naughton,Oneida County,Wisconsin,0 +Mc Neal,Cochise County,Arizona,0 +Mc Neil,Columbia County,Arkansas,0 +Mc Neil,Williamson County,Texas,0 +Mc Neill,Pearl River County,Mississippi,0 +Mc Quady,Breckinridge County,Kentucky,0 +Mc Queeney,Guadalupe County,Texas,0 +Mc Rae,White County,Arkansas,0 +Mc Rae,Telfair County,Georgia,0 +Mc Roberts,Letcher County,Kentucky,0 +Mc Shan,Pickens County,Alabama,0 +Mc Sherrystown,Adams County,Pennsylvania,0 +Mc Veytown,Mifflin County,Pennsylvania,0 +Mc Williams,Monroe County,Alabama,0 +Mcadoo,Schuylkill County,Pennsylvania,0 +Mcadoo,Dickens County,Texas,0 +Mcalester,Pittsburg County,Oklahoma,0 +Mcalister,Quay County,New Mexico,0 +Mcallen,Hidalgo County,Texas,0 +Mcarthur,Shasta County,California,0 +Mcbrides,Montcalm County,Michigan,0 +Mccall,Valley County,Idaho,0 +Mccammon,Bannock County,Idaho,0 +Mcchord Afb,Pierce County,Washington,0 +Mccleary,Grays Harbor County,Washington,0 +Mcclellan,Sacramento County,California,0 +Mccloud,Siskiyou County,California,0 +Mcclusky,Sheridan County,North Dakota,0 +Mccomb,Pike County,Mississippi,0 +Mcconnell Afb,Sedgwick County,Kansas,0 +Mcconnelsville,Morgan County,Ohio,0 +Mccurtain,Haskell County,Oklahoma,0 +Mccutcheon Field,Onslow County,North Carolina,0 +Mcdaniel,Talbot County,Maryland,0 +Mcdonald,Lea County,New Mexico,0 +Mcdonough,Henry County,Georgia,0 +Mcfaddin,Victoria County,Texas,0 +Mcgregor,Aitkin County,Minnesota,0 +Mcgregor,Williams County,North Dakota,0 +Mcgrew,Scotts Bluff County,Nebraska,0 +Mchenry,McHenry County,Illinois,0 +Mchenry,Foster County,North Dakota,0 +Mcintosh,Polk County,Minnesota,0 +Mcintosh,Torrance County,New Mexico,0 +Mckeesport,Allegheny County,Pennsylvania,0 +Mckenna,Pierce County,Washington,0 +Mckinleyville,Humboldt County,California,0 +Mckinney,Collin County,Texas,0 +Mclean,Pierce County,Nebraska,0 +Mclean,Gray County,Texas,0 +Mcleod,Richland County,North Dakota,0 +Mcloud,Pottawatomie County,Oklahoma,0 +Mcmechen,Marshall County,West Virginia,0 +Mcminnville,Yamhill County,Oregon,0 +Mcminnville,Warren County,Tennessee,50 +Mcnary,Apache County,Arizona,0 +Mcpherson,McPherson County,Kansas,0 +Mcville,Nelson County,North Dakota,0 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County,Oregon,0 +Medford,Taylor County,Wisconsin,0 +Media,Henderson County,Illinois,0 +Media,Delaware County,Pennsylvania,0 +Mediapolis,Des Moines County,Iowa,0 +Medical Lake,Spokane County,Washington,0 +Medicine Bow,Carbon County,Wyoming,0 +Medicine Lake,Sheridan County,Montana,0 +Medicine Lodge,Barber County,Kansas,0 +Medicine Park,Comanche County,Oklahoma,0 +Medimont,Kootenai County,Idaho,0 +Medina,Orleans County,New York,0 +Medina,Stutsman County,North Dakota,0 +Medina,Medina County,Ohio,0 +Medina,Gibson County,Tennessee,0 +Medina,Bandera County,Texas,0 +Medina,King County,Washington,0 +Medinah,DuPage County,Illinois,0 +Medon,Madison County,Tennessee,0 +Medora,Macoupin County,Illinois,0 +Medora,Jackson County,Indiana,0 +Medora,Billings County,North Dakota,0 +Medusa,Albany County,New York,0 +Medway,Penobscot County,Maine,0 +Medway,Norfolk County,Massachusetts,0 +Medway,Clark County,Ohio,0 +Meeker,Rio Blanco County,Colorado,0 +Meeker,Lincoln County,Oklahoma,0 +Meers,Comanche County,Oklahoma,0 +Meeteetse,Park County,Wyoming,0 +Megargel,Monroe County,Alabama,0 +Megargel,Archer County,Texas,0 +Mehama,Marion County,Oregon,0 +Meherrin,Prince Edward County,Virginia,0 +Mehoopany,Wyoming County,Pennsylvania,0 +Meigs,Thomas County,Georgia,0 +Mekinock,Grand Forks County,North Dakota,0 +Mekoryuk,Bethel Census Area,Alaska,0 +Melba,Canyon County,Idaho,0 +Melber,Graves County,Kentucky,0 +Melbeta,Scotts Bluff County,Nebraska,0 +Melbourne,Izard County,Arkansas,0 +Melbourne,Brevard County,Florida,0 +Melbourne,Marshall County,Iowa,0 +Melbourne,Campbell County,Kentucky,0 +Melbourne Beach,Brevard County,Florida,0 +Melcher-dallas,Marion County,Iowa,0 +Melcroft,Fayette County,Pennsylvania,0 +Meldrim,Effingham County,Georgia,0 +Melfa,Accomack County,Virginia,0 +Melissa,Collin County,Texas,0 +Mellen,Ashland County,Wisconsin,0 +Mellenville,Columbia County,New York,0 +Mellette,Spink County,South Dakota,0 +Mellott,Fountain County,Indiana,0 +Mellwood,Phillips County,Arkansas,0 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County,Pennsylvania,0 +Mercer,Madison County,Tennessee,0 +Mercer,Iron County,Wisconsin,0 +Mercer Island,King County,Washington,0 +Mercersburg,Franklin County,Pennsylvania,0 +Merchantville,Camden County,New Jersey,0 +Mercury,Nye County,Nevada,0 +Meredith,Pitkin County,Colorado,0 +Meredith,Belknap County,New Hampshire,0 +Meredithville,Brunswick County,Virginia,0 +Meredosia,Morgan County,Illinois,0 +Mereta,Tom Green County,Texas,0 +Meridale,Delaware County,New York,0 +Meriden,New Haven County,Connecticut,0 +Meriden,Cherokee County,Iowa,0 +Meriden,Jefferson County,Kansas,0 +Meriden,Sullivan County,New Hampshire,0 +Meriden,Laramie County,Wyoming,0 +Meridian,Sutter County,California,0 +Meridian,McIntosh County,Georgia,0 +Meridian,Ada County,Idaho,0 +Meridian,Lauderdale County,Mississippi,0 +Meridian,Cayuga County,New York,0 +Meridian,Logan County,Oklahoma,0 +Meridian,Bosque County,Texas,0 +Meridianville,Madison County,Alabama,0 +Merigold,Bolivar County,Mississippi,0 +Merino,Logan County,Colorado,0 +Merion Station,Montgomery County,Pennsylvania,0 +Merit,Hunt County,Texas,0 +Merkel,Taylor County,Texas,0 +Merlin,Josephine County,Oregon,0 +Mermentau,Acadia Parish,Louisiana,0 +Merna,Mclean County,Illinois,0 +Merna,Custer County,Nebraska,0 +Merom,Sullivan County,Indiana,0 +Merrick,Nassau County,New York,0 +Merrifield,Crow Wing County,Minnesota,0 +Merrifield,Fairfax County,Virginia,0 +Merrill,Plymouth County,Iowa,0 +Merrill,Saginaw County,Michigan,0 +Merrill,Klamath County,Oregon,0 +Merrill,Lincoln County,Wisconsin,0 +Merrillan,Jackson County,Wisconsin,0 +Merrillville,Lake County,Indiana,0 +Merrimac,Essex County,Massachusetts,0 +Merrimac,Sauk County,Wisconsin,0 +Merrimack,Hillsborough County,New Hampshire,0 +Merriman,Cherry County,Nebraska,0 +Merritt,Missaukee County,Michigan,0 +Merritt,Pamlico County,North Carolina,0 +Merritt Island,Brevard County,Florida,0 +Merrittstown,Fayette County,Pennsylvania,0 +Merry Hill,Bertie County,North Carolina,0 +Merry Point,Lancaster County,Virginia,0 +Merryville,Beauregard Parish,Louisiana,0 +Mershon,Pierce County,Georgia,0 +Mertens,Hill County,Texas,0 +Merton,Waukesha County,Wisconsin,0 +Mertzon,Irion County,Texas,0 +Mertztown,Berks County,Pennsylvania,0 +Mesa,Maricopa County,Arizona,0 +Mesa,Mesa County,Colorado,0 +Mesa,Adams County,Idaho,0 +Mesa,Franklin County,Washington,0 +Mesa Verde National Park,Montezuma County,Colorado,0 +Mescalero,Otero County,New Mexico,0 +Mesena,Warren County,Georgia,0 +Meservey,Cerro Gordo County,Iowa,0 +Meshoppen,Wyoming County,Pennsylvania,0 +Mesick,Wexford County,Michigan,0 +Mesilla,Do�a Ana County,New Mexico,0 +Mesilla Park,Do�a Ana County,New Mexico,0 +Mesopotamia,Trumbull County,Ohio,0 +Mesquite,Clark County,Nevada,0 +Mesquite,Do�a Ana County,New Mexico,0 +Mesquite,Dallas County,Texas,0 +Meta,Maries County,Missouri,0 +Metairie,Jefferson Parish,Louisiana,0 +Metaline,Pend Oreille County,Washington,0 +Metaline Falls,Pend Oreille County,Washington,0 +Metamora,Woodford County,Illinois,0 +Metamora,Franklin County,Indiana,0 +Metamora,Lapeer County,Michigan,0 +Metamora,Fulton County,Ohio,0 +Metcalf,Edgar County,Illinois,0 +Metcalfe,Washington County,Mississippi,0 +Methow,Okanogan County,Washington,0 +Methuen,Essex County,Massachusetts,0 +Metlakatla,Prince of Wales-Outer Ketchikan Borough,Alaska,0 +Metropolis,Massac County,Illinois,0 +Metter,Candler County,Georgia,0 +Metuchen,Middlesex County,New Jersey,0 +Metz,Vernon County,Missouri,0 +Metz,Marion County,West Virginia,0 +Mexia,Monroe County,Alabama,0 +Mexia,Limestone County,Texas,0 +Mexican Hat,San Juan County,Utah,0 +Mexican Springs,McKinley County,New Mexico,0 +Mexico,Miami County,Indiana,0 +Mexico,Oxford County,Maine,0 +Mexico,Audrain County,Missouri,0 +Mexico,Oswego County,New York,0 +Mexico,Juniata County,Pennsylvania,0 +Mexico Beach,Bay County,Florida,0 +Meyers Chuck,Wrangell City and Borough,Alaska,0 +Meyersdale,Somerset County,Pennsylvania,0 +Meyersville,Victoria County,Texas,0 +Mi Wuk 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County,New Jersey,0 +Mico,Medina County,Texas,0 +Micro,Johnston County,North Carolina,0 +Mid Florida,Seminole County,Florida,0 +Middle Amana,Iowa County,Iowa,0 +Middle Bass,Ottawa County,Ohio,0 +Middle Brook,Iron County,Missouri,0 +Middle Falls,Washington County,New York,0 +Middle Granville,Washington County,New York,0 +Middle Grove,Saratoga County,New York,0 +Middle Haddam,Middlesex County,Connecticut,0 +Middle Island,Suffolk County,New York,0 +Middle Point,Van Wert County,Ohio,0 +Middle River,Baltimore County,Maryland,0 +Middle River,Marshall County,Minnesota,0 +Middle Village,Queens County,New York,0 +Middleboro,Plymouth County,Massachusetts,0 +Middlebourne,Tyler County,West Virginia,0 +Middlebranch,Stark County,Ohio,0 +Middlebrook,Augusta County,Virginia,0 +Middleburg,Clay County,Florida,0 +Middleburg,Casey County,Kentucky,0 +Middleburg,Vance County,North Carolina,0 +Middleburg,Logan County,Ohio,0 +Middleburg,Snyder County,Pennsylvania,0 +Middleburg,Loudoun County,Virginia,0 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County,Minnesota,0 +Moorhead,Sunflower County,Mississippi,0 +Mooringsport,Caddo Parish,Louisiana,0 +Moorland,Webster County,Iowa,0 +Moorpark,Ventura County,California,0 +Moose,Teton County,Wyoming,0 +Moose Lake,Carlton County,Minnesota,0 +Moose Pass,Kenai Peninsula Borough,Alaska,0 +Mooseheart,Kane County,Illinois,0 +Moosic,Lackawanna County,Pennsylvania,0 +Moosup,Windham County,Connecticut,0 +Mora,Rapides Parish,Louisiana,0 +Mora,Kanabec County,Minnesota,0 +Mora,Pettis County,Missouri,0 +Mora,Mora County,New Mexico,0 +Moraga,Contra Costa County,California,0 +Moran,Allen County,Kansas,0 +Moran,Mackinac County,Michigan,0 +Moran,Shackelford County,Texas,0 +Moran,Teton County,Wyoming,0 +Morann,Clearfield County,Pennsylvania,0 +Morattico,Lancaster County,Virginia,0 +Moravia,Appanoose County,Iowa,0 +Moravia,Cayuga County,New York,0 +Moravian Falls,Wilkes County,North Carolina,0 +Moreauville,Avoyelles Parish,Louisiana,0 +Morehead,Rowan County,Kentucky,0 +Morehead City,Carteret County,North Carolina,0 +Morehouse,New Madrid County,Missouri,0 +Moreland,Coweta County,Georgia,0 +Moreland,Bingham County,Idaho,0 +Morenci,Greenlee County,Arizona,0 +Morenci,Lenawee County,Michigan,0 +Moreno Valley,Riverside County,California,0 +Moretown,Washington County,Vermont,0 +Morgan,Calhoun County,Georgia,0 +Morgan,Redwood County,Minnesota,0 +Morgan,Allegheny County,Pennsylvania,0 +Morgan,Bosque County,Texas,0 +Morgan,Morgan County,Utah,0 +Morgan,Orleans County,Vermont,0 +Morgan City,St. Mary Parish,Louisiana,0 +Morgan City,Leflore County,Mississippi,0 +Morgan Hill,Santa Clara County,California,0 +Morgan Mill,Erath County,Texas,0 +Morganfield,Union County,Kentucky,0 +Morganton,Fannin County,Georgia,0 +Morganton,Burke County,North Carolina,0 +Morgantown,Brown County,Indiana,0 +Morgantown,Butler County,Kentucky,0 +Morgantown,Berks County,Pennsylvania,0 +Morgantown,Monongalia County,West Virginia,0 +Morganville,Clay County,Kansas,0 +Morganville,Monmouth County,New Jersey,0 +Morganza,Pointe Coupee Parish,Louisiana,0 +Morganza,St. Mary's County,Maryland,0 +Moriah,Essex County,New York,0 +Moriah Center,Essex County,New York,0 +Moriarty,Torrance County,New Mexico,0 +Moriches,Suffolk County,New York,0 +Morland,Graham County,Kansas,0 +Morley,Jones County,Iowa,0 +Morley,Mecosta County,Michigan,0 +Morley,Scott County,Missouri,0 +Mormon Lake,Coconino County,Arizona,0 +Morning Sun,Louisa County,Iowa,0 +Morning View,Kenton County,Kentucky,0 +Moro,Lee County,Arkansas,0 +Moro,Madison County,Illinois,0 +Moro,Sherman County,Oregon,0 +Morocco,Newton County,Indiana,0 +Morongo Valley,San Bernardino County,California,0 +Moroni,Sanpete County,Utah,0 +Morovis,Morovis Municipio,Puerto Rico,0 +Morral,Marion County,Ohio,0 +Morrice,Shiawassee County,Michigan,0 +Morrill,Brown County,Kansas,0 +Morrill,Waldo County,Maine,0 +Morrill,Scotts Bluff County,Nebraska,0 +Morrilton,Conway County,Arkansas,0 +Morris,Jefferson County,Alabama,0 +Morris,Litchfield County,Connecticut,0 +Morris,Clay County,Georgia,0 +Morris,Grundy County,Illinois,0 +Morris,Ripley County,Indiana,0 +Morris,Stevens County,Minnesota,0 +Morris,Otsego County,New York,0 +Morris,Okmulgee County,Oklahoma,0 +Morris,Tioga County,Pennsylvania,0 +Morris Chapel,Hardin County,Tennessee,0 +Morris Plains,Morris County,New Jersey,0 +Morris Run,Tioga County,Pennsylvania,0 +Morrisdale,Clearfield County,Pennsylvania,0 +Morrison,Jefferson County,Colorado,0 +Morrison,Whiteside County,Illinois,0 +Morrison,Grundy County,Iowa,0 +Morrison,Gasconade County,Missouri,0 +Morrison,Noble County,Oklahoma,0 +Morrison,Warren County,Tennessee,0 +Morrisonville,Christian County,Illinois,0 +Morrisonville,Clinton County,New York,0 +Morrisonville,Dane County,Wisconsin,0 +Morriston,Levy County,Florida,0 +Morristown,Maricopa County,Arizona,0 +Morristown,Shelby County,Indiana,0 +Morristown,Rice County,Minnesota,0 +Morristown,Morris County,New Jersey,0 +Morristown,St. Lawrence County,New York,0 +Morristown,Belmont County,Ohio,0 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Landing,Monterey County,California,0 +Moss Point,Jackson County,Mississippi,0 +Mossville,Peoria County,Illinois,0 +Mossy Head,Walton County,Florida,0 +Mossyrock,Lewis County,Washington,0 +Motley,Cass County,Minnesota,0 +Mott,Hettinger County,North Dakota,0 +Mottville,Onondaga County,New York,0 +Moulton,Lawrence County,Alabama,0 +Moulton,Appanoose County,Iowa,0 +Moulton,Lavaca County,Texas,0 +Moultonborough,Carroll County,New Hampshire,0 +Moultrie,Colquitt County,Georgia,0 +Mound,Hennepin County,Minnesota,0 +Mound,Coryell County,Texas,0 +Mound Bayou,Bolivar County,Mississippi,0 +Mound City,Pulaski County,Illinois,0 +Mound City,Linn County,Kansas,0 +Mound City,Holt County,Missouri,0 +Mound City,Campbell County,South Dakota,0 +Mound Valley,Labette County,Kansas,0 +Moundridge,McPherson County,Kansas,0 +Mounds,Pulaski County,Illinois,0 +Mounds,Tulsa County,Oklahoma,0 +Moundsville,Marshall County,West Virginia,0 +Moundville,Hale County,Alabama,0 +Moundville,Vernon County,Missouri,0 +Mount Aetna,Berks County,Pennsylvania,0 +Mount Airy,Habersham County,Georgia,0 +Mount Airy,St. John the Baptist Parish,Louisiana,0 +Mount Airy,Frederick County,Maryland,0 +Mount Airy,Surry County,North Carolina,0 +Mount Alto,Jackson County,West Virginia,0 +Mount Angel,Marion County,Oregon,0 +Mount Arlington,Morris County,New Jersey,0 +Mount Auburn,Christian County,Illinois,0 +Mount Auburn,Benton County,Iowa,0 +Mount Aukum,El Dorado County,California,0 +Mount Ayr,Newton County,Indiana,0 +Mount Ayr,Ringgold County,Iowa,0 +Mount Berry,Floyd County,Georgia,0 +Mount Bethel,Northampton County,Pennsylvania,0 +Mount Blanchard,Hancock County,Ohio,0 +Mount Braddock,Fayette County,Pennsylvania,0 +Mount Calm,Hill County,Texas,0 +Mount Calvary,Fond du Lac County,Wisconsin,0 +Mount Carbon,Fayette County,West Virginia,0 +Mount Carmel,Wabash County,Illinois,0 +Mount Carmel,Northumberland County,Pennsylvania,0 +Mount Carmel,McCormick County,South Carolina,0 +Mount Carmel,Hawkins County,Tennessee,0 +Mount Carmel,Kane County,Utah,0 +Mount Carroll,Carroll County,Illinois,0 +Mount Clare,Harrison County,West Virginia,0 +Mount Clemens,Macomb County,Michigan,0 +Mount Cory,Hancock County,Ohio,0 +Mount Crawford,Rockingham County,Virginia,0 +Mount Croghan,Chesterfield County,South Carolina,0 +Mount Desert,Hancock County,Maine,0 +Mount Dora,Lake County,Florida,0 +Mount Eaton,Wayne County,Ohio,0 +Mount Eden,Spencer County,Kentucky,0 +Mount Enterprise,Rusk County,Texas,0 +Mount Ephraim,Camden County,New Jersey,0 +Mount Erie,Wayne County,Illinois,0 +Mount Freedom,Morris County,New Jersey,0 +Mount Gay,Logan County,West Virginia,0 +Mount Gilead,Montgomery County,North Carolina,0 +Mount Gilead,Morrow County,Ohio,0 +Mount Gretna,Lebanon County,Pennsylvania,0 +Mount Hamilton,Santa Clara County,California,0 +Mount Hermon,Santa Cruz County,California,0 +Mount Hermon,Monroe County,Kentucky,0 +Mount Hermon,Washington Parish,Louisiana,0 +Mount Holly,Union County,Arkansas,0 +Mount Holly,Burlington County,New Jersey,0 +Mount Holly,Gaston County,North Carolina,0 +Mount Holly,Rutland County,Vermont,0 +Mount Holly,Westmoreland County,Virginia,0 +Mount Holly Springs,Cumberland County,Pennsylvania,0 +Mount Hood Parkdale,Hood River County,Oregon,0 +Mount Hope,Lawrence County,Alabama,0 +Mount Hope,Sedgwick County,Kansas,0 +Mount Hope,Holmes County,Ohio,0 +Mount Hope,,West Virginia,0 +Mount Hope,Raleigh County,West Virginia,0 +Mount Hope,Grant County,Wisconsin,0 +Mount Horeb,Dane County,Wisconsin,0 +Mount Ida,Montgomery County,Arkansas,0 +Mount Jackson,Shenandoah County,Virginia,0 +Mount Jewett,McKean County,Pennsylvania,0 +Mount Joy,Lancaster County,Pennsylvania,0 +Mount Judea,Newton County,Arkansas,0 +Mount Juliet,Wilson County,Tennessee,0 +Mount Kisco,Westchester County,New York,0 +Mount Laguna,San Diego County,California,0 +Mount Laurel,Burlington County,New Jersey,0 +Mount Lemmon,Pima County,Arizona,0 +Mount Liberty,Knox County,Ohio,0 +Mount Lookout,Nicholas County,West Virginia,0 +Mount Marion,Ulster County,New York,0 +Mount Meigs,Montgomery County,Alabama,0 +Mount Morris,Ogle County,Illinois,0 +Mount Morris,Genesee County,Michigan,0 +Mount Morris,Livingston County,New York,0 +Mount Morris,Greene County,Pennsylvania,0 +Mount Mourne,Iredell County,North Carolina,0 +Mount Nebo,Nicholas County,West Virginia,0 +Mount Olive,Jefferson County,Alabama,0 +Mount Olive,Macoupin County,Illinois,0 +Mount Olive,Covington County,Mississippi,0 +Mount Olive,Wayne County,North Carolina,0 +Mount Olive,Fayette County,West Virginia,0 +Mount Olivet,Robertson County,Kentucky,0 +Mount Orab,Brown County,Ohio,0 +Mount Perry,Perry County,Ohio,0 +Mount Pleasant,Izard County,Arkansas,0 +Mount Pleasant,Henry County,Iowa,0 +Mount Pleasant,Isabella County,Michigan,0 +Mount Pleasant,Marshall County,Mississippi,0 +Mount Pleasant,Cabarrus County,North Carolina,0 +Mount Pleasant,Jefferson County,Ohio,0 +Mount Pleasant,Westmoreland County,Pennsylvania,0 +Mount Pleasant,Charleston County,South Carolina,0 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Virginia,0 +Mount Summit,Henry County,Indiana,0 +Mount Tabor,Morris County,New Jersey,0 +Mount Tremper,Ulster County,New York,0 +Mount Ulla,Rowan County,North Carolina,0 +Mount Union,Henry County,Iowa,0 +Mount Union,Huntingdon County,Pennsylvania,0 +Mount Upton,Chenango County,New York,0 +Mount Vernon,Mobile County,Alabama,0 +Mount Vernon,Faulkner County,Arkansas,0 +Mount Vernon,Montgomery County,Georgia,0 +Mount Vernon,Jefferson County,Illinois,0 +Mount Vernon,Posey County,Indiana,0 +Mount Vernon,Linn County,Iowa,0 +Mount Vernon,Rockcastle County,Kentucky,0 +Mount Vernon,Kennebec County,Maine,0 +Mount Vernon,Lawrence County,Missouri,0 +Mount Vernon,Westchester County,New York,0 +Mount Vernon,Knox County,Ohio,0 +Mount Vernon,Grant County,Oregon,0 +Mount Vernon,Davison County,South Dakota,0 +Mount Vernon,Franklin County,Texas,0 +Mount Vernon,Fairfax County,Virginia,0 +Mount Vernon,Skagit County,Washington,0 +Mount Victoria,Charles County,Maryland,0 +Mount Victory,Hardin County,Ohio,0 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Wilson,Grayson County,Virginia,0 +Mouthcard,Pike County,Kentucky,0 +Moville,Woodbury County,Iowa,0 +Moweaqua,Shelby County,Illinois,0 +Mowrystown,Highland County,Ohio,0 +Moxahala,Perry County,Ohio,0 +Moxee,Yakima County,Washington,0 +Moyers,Pushmataha County,Oklahoma,0 +Moyie Springs,Boundary County,Idaho,0 +Moyock,Currituck County,North Carolina,0 +Mozelle,Leslie County,Kentucky,0 +Mozier,Calhoun County,Illinois,0 +Mt Baldy,San Bernardino County,California,0 +Mt Zion,Macon County,Illinois,0 +Mud Butte,Meade County,South Dakota,0 +Muddy,Saline County,Illinois,0 +Muenster,Cooke County,Texas,0 +Muir,Ionia County,Michigan,0 +Muir,Schuylkill County,Pennsylvania,0 +Mukilteo,Snohomish County,Washington,0 +Mukwonago,Waukesha County,Wisconsin,0 +Mulberry,Crawford County,Arkansas,0 +Mulberry,Polk County,Florida,0 +Mulberry,Clinton County,Indiana,0 +Mulberry,Crawford County,Kansas,0 +Mulberry,Lincoln County,Tennessee,0 +Mulberry Grove,Bond County,Illinois,0 +Muldoon,Fayette County,Texas,0 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County,Idaho,0 +Murray,Clarke County,Iowa,0 +Murray,Calloway County,Kentucky,0 +Murray,Cass County,Nebraska,0 +Murray City,Hocking County,Ohio,0 +Murrayville,Hall County,Georgia,0 +Murrayville,Morgan County,Illinois,0 +Murrells Inlet,Horry County,South Carolina,0 +Murrieta,Riverside County,California,0 +Murrysville,Westmoreland County,Pennsylvania,0 +Murtaugh,Twin Falls County,Idaho,0 +Muscadine,Cleburne County,Alabama,0 +Muscatine,Muscatine County,Iowa,0 +Muscle Shoals,Colbert County,Alabama,0 +Muscoda,Grant County,Wisconsin,0 +Muscotah,Atchison County,Kansas,0 +Muse,Le Flore County,Oklahoma,0 +Muse,Washington County,Pennsylvania,0 +Musella,Crawford County,Georgia,0 +Muses Mills,Fleming County,Kentucky,0 +Muskego,Waukesha County,Wisconsin,0 +Muskegon,Muskegon County,Michigan,0 +Muskogee,Muskogee County,Oklahoma,0 +Musselshell,Musselshell County,Montana,0 +Mustang,Canadian County,Oklahoma,0 +Mustoe,Highland County,Virginia,0 +Mutual,Woodward County,Oklahoma,0 +Myakka City,Manatee County,Florida,0 +Myers Flat,Humboldt County,California,0 +Myerstown,Lebanon County,Pennsylvania,0 +Myersville,Frederick County,Maryland,0 +Mylo,Rolette County,North Dakota,0 +Myra,Pike County,Kentucky,0 +Myra,Cooke County,Texas,0 +Myra,Lincoln County,West Virginia,0 +Myrtle,Union County,Mississippi,0 +Myrtle,Oregon County,Missouri,0 +Myrtle Beach,Horry County,South Carolina,0 +Myrtle Creek,Douglas County,Oregon,0 +Myrtle Point,Coos County,Oregon,0 +Myrtlewood,Marengo County,Alabama,0 +Mystic,New London County,Connecticut,0 +Mystic,Irwin County,Georgia,0 +Mystic,Appanoose County,Iowa,0 +Myton,Duchesne County,Utah,0 +Naalehu,Hawaii County,Hawaii,0 +Nabb,Clark County,Indiana,0 +Naches,Yakima County,Washington,0 +Nachusa,Lee County,Illinois,0 +Naco,Cochise County,Arizona,0 +Nacogdoches,Nacogdoches County,Texas,0 +Nada,Colorado County,Texas,0 +Nadeau,Menominee County,Michigan,0 +Nageezi,San Juan County,New Mexico,0 +Nags Head,Dare County,North Carolina,0 +Naguabo,Naguabo Municipio,Puerto Rico,0 +Nahant,Essex County,Massachusetts,0 +Nahcotta,Pacific County,Washington,0 +Nahma,Delta County,Michigan,0 +Nahunta,Brantley County,Georgia,0 +Nakina,Columbus County,North Carolina,0 +Naknek,Bristol Bay Borough,Alaska,0 +Nalcrest,Polk County,Florida,0 +Nallen,Fayette County,West Virginia,0 +Nampa,Canyon County,Idaho,0 +Nanafalia,Marengo County,Alabama,0 +Nancy,Pulaski County,Kentucky,0 +Nanjemoy,Charles County,Maryland,0 +Nankin,Ashland County,Ohio,0 +Nanticoke,Wicomico County,Maryland,0 +Nanticoke,Luzerne County,Pennsylvania,0 +Nantucket,Nantucket County,Massachusetts,0 +Nanty Glo,Cambria County,Pennsylvania,0 +Nanuet,Rockland County,New York,0 +Naoma,Raleigh County,West Virginia,0 +Napa,Napa County,California,0 +Napakiak,Bethel Census Area,Alaska,0 +Napanoch,Ulster County,New York,0 +Napavine,Lewis County,Washington,0 +Naper,Boyd County,Nebraska,0 +Naperville,DuPage County,Illinois,0 +Naperville,Dupage County,Illinois,0 +Naperville,Will County,Illinois,0 +Napier,Braxton County,West Virginia,0 +Naples,Collier County,Florida,0 +Naples,Boundary County,Idaho,0 +Naples,Cumberland County,Maine,0 +Naples,Ontario County,New York,0 +Naples,Henderson County,North Carolina,0 +Naples,Morris County,Texas,0 +Napoleon,Ripley County,Indiana,0 +Napoleon,Jackson County,Michigan,0 +Napoleon,Lafayette County,Missouri,0 +Napoleon,Logan County,North Dakota,0 +Napoleon,Henry County,Ohio,0 +Napoleonville,Assumption Parish,Louisiana,0 +Naponee,Franklin County,Nebraska,0 +Nappanee,Elkhart County,Indiana,0 +Nara Visa,Quay County,New Mexico,0 +Naranjito,Naranjito Municipio,Puerto Rico,0 +Narberth,Montgomery County,Pennsylvania,0 +Nardin,Kay County,Oklahoma,0 +Narka,Republic County,Kansas,0 +Narragansett,Washington County,Rhode Island,0 +Narrows,Giles County,Virginia,0 +Narrowsburg,Sullivan County,New York,0 +Naruna,Campbell County,Virginia,0 +Narvon,Lancaster County,Pennsylvania,0 +Naselle,Pacific County,Washington,0 +Nash,Grant County,Oklahoma,0 +Nash,Bowie County,Texas,0 +Nashoba,Pushmataha County,Oklahoma,0 +Nashotah,Waukesha County,Wisconsin,0 +Nashport,Muskingum County,Ohio,0 +Nashua,Chickasaw County,Iowa,0 +Nashua,Wilkin County,Minnesota,0 +Nashua,Valley County,Montana,0 +Nashua,Hillsborough County,New Hampshire,0 +Nashville,Howard County,Arkansas,0 +Nashville,Berrien County,Georgia,0 +Nashville,Washington County,Illinois,0 +Nashville,Brown County,Indiana,0 +Nashville,Kingman County,Kansas,0 +Nashville,Barry County,Michigan,0 +Nashville,Nash County,North Carolina,0 +Nashville,Holmes County,Ohio,0 +Nashville,Davidson County,Tennessee,0 +Nashwauk,Itasca County,Minnesota,0 +Nason,Jefferson County,Illinois,0 +Nassau,Sussex County,Delaware,0 +Nassau,Rensselaer County,New York,0 +Nassawadox,Northampton County,Virginia,0 +Natalbany,Tangipahoa Parish,Louisiana,0 +Natalia,Medina County,Texas,0 +Natchez,Natchitoches Parish,Louisiana,0 +Natchez,Adams County,Mississippi,0 +Natchitoches,Natchitoches Parish,Louisiana,0 +Nathalie,Halifax County,Virginia,0 +Nathrop,Chaffee County,Colorado,0 +Natick,Middlesex County,Massachusetts,0 +National City,San Diego County,California,0 +National City,Iosco County,Michigan,0 +National Mine,Marquette County,Michigan,0 +National Park,Gloucester County,New Jersey,0 +National Stock Yards,St. Clair County,Illinois,0 +Natoma,Osborne County,Kansas,0 +Natrona,Natrona County,Wyoming,0 +Natrona Heights,Allegheny County,Pennsylvania,0 +Natural Bridge,Winston County,Alabama,0 +Natural Bridge,Jefferson County,New York,0 +Natural Bridge,Rockbridge County,Virginia,0 +Natural Bridge Station,Rockbridge County,Virginia,0 +Natural Dam,Crawford County,Arkansas,0 +Naturita,Montrose County,Colorado,0 +Naubinway,Mackinac County,Michigan,0 +Naugatuck,New Haven County,Connecticut,0 +Naugatuck,Martin County,West Virginia,0 +Nauvoo,Walker County,Alabama,0 +Nauvoo,Hancock County,Illinois,0 +Navajo,McKinley County,New Mexico,0 +Navajo Dam,San Juan County,New Mexico,0 +Naval Air Station/ Jrb,Tarrant County,Texas,0 +Naval Anacost Annex,District of Columbia,District of Columbia,0 +Navarre,Santa Rosa County,Florida,0 +Navarre,Hennepin County,Minnesota,0 +Navarre,Stark County,Ohio,0 +Navarro,Mendocino County,California,0 +Navasota,Grimes County,Texas,0 +Navesink,Monmouth County,New Jersey,0 +Naylor,Lowndes County,Georgia,0 +Naylor,Ripley County,Missouri,0 +Naytahwaush,Mahnomen County,Minnesota,0 +Nazareth,Nelson County,Kentucky,0 +Nazareth,Kalamazoo County,Michigan,0 +Nazareth,Northampton County,Pennsylvania,0 +Nazareth,Castro County,Texas,0 +Nazlini,Apache County,Arizona,0 +Neah Bay,Clallam County,Washington,0 +Neal,Greenwood County,Kansas,0 +Neapolis,Lucas County,Ohio,0 +Neavitt,Talbot County,Maryland,0 +Nebo,Pike County,Illinois,0 +Nebo,Hopkins County,Kentucky,0 +Nebo,McDowell County,North Carolina,0 +Nebo,Clay County,West Virginia,0 +Nebraska City,Otoe County,Nebraska,0 +Necedah,Juneau County,Wisconsin,0 +Neche,Pembina County,North Dakota,0 +Neches,Anderson County,Texas,0 +Neck City,Jasper County,Missouri,0 +Nederland,Boulder County,Colorado,0 +Nederland,Jefferson County,Texas,0 +Nedrow,Onondaga County,New York,0 +Needham,Choctaw County,Alabama,0 +Needham,Johnson County,Indiana,0 +Needham,Norfolk County,Massachusetts,0 +Needham Heights,Norfolk County,Massachusetts,0 +Needles,San Bernardino County,California,0 +Needmore,Fulton County,Pennsylvania,0 +Needville,Fort Bend County,Texas,0 +Neely,Greene County,Mississippi,0 +Neelyton,Huntingdon County,Pennsylvania,0 +Neelyville,Butler County,Missouri,0 +Neenah,Winnebago County,Wisconsin,0 +Neeses,Orangeburg County,South Carolina,0 +Neffs,Belmont County,Ohio,0 +Neffs,Lehigh County,Pennsylvania,0 +Negaunee,Marquette County,Michigan,0 +Negley,Columbiana County,Ohio,0 +Negreet,Sabine Parish,Louisiana,0 +Nehalem,Tillamook County,Oregon,0 +Nehawka,Cass County,Nebraska,0 +Neihart,Cascade County,Montana,0 +Neillsville,Clark County,Wisconsin,0 +Neilton,Grays Harbor County,Washington,0 +Nekoma,Rush County,Kansas,0 +Nekoma,Cavalier County,North Dakota,0 +Nekoosa,Wood County,Wisconsin,0 +Neligh,Antelope County,Nebraska,0 +Nellis,Boone County,West Virginia,0 +Nellis Afb,Clark County,Nevada,0 +Nelliston,Montgomery County,New York,0 +Nellysford,Nelson County,Virginia,0 +Nelson,Butte County,California,0 +Nelson,Pickens County,Georgia,0 +Nelson,Douglas County,Minnesota,0 +Nelson,Saline County,Missouri,0 +Nelson,Nuckolls County,Nebraska,0 +Nelson,Cheshire County,New Hampshire,0 +Nelson,Tioga County,Pennsylvania,0 +Nelson,Mecklenburg County,Virginia,0 +Nelson,Buffalo County,Wisconsin,0 +Nelsonia,Accomack County,Virginia,0 +Nelsonville,Athens County,Ohio,0 +Nelsonville,Portage County,Wisconsin,0 +Nemacolin,Greene County,Pennsylvania,0 +Nemaha,Sac County,Iowa,0 +Nemaha,Nemaha County,Nebraska,0 +Nemo,Lawrence County,South Dakota,0 +Nemo,Somervell County,Texas,0 +Nemours,Mercer County,West Virginia,0 +Nenana,Yukon-Koyukuk Census Area,Alaska,0 +Nenzel,Cherry County,Nebraska,0 +Neodesha,Wilson County,Kansas,0 +Neoga,Cumberland County,Illinois,0 +Neola,Pottawattamie County,Iowa,0 +Neola,Duchesne County,Utah,0 +Neon,Letcher County,Kentucky,0 +Neopit,Menominee County,Wisconsin,0 +Neosho,Newton County,Missouri,0 +Neosho,Dodge County,Wisconsin,0 +Neosho Falls,Woodson County,Kansas,0 +Neosho Rapids,Lyon County,Kansas,0 +Neotsu,Lincoln County,Oregon,0 +Nephi,Juab County,Utah,0 +Neponset,Bureau County,Illinois,0 +Neptune,Monmouth County,New Jersey,0 +Neptune Beach,Duval County,Florida,0 +Nerinx,Marion County,Kentucky,0 +Nerstrand,Rice County,Minnesota,0 +Nesbit,DeSoto County,Mississippi,0 +Nesconset,Suffolk County,New York,0 +Nescopeck,Luzerne County,Pennsylvania,0 +Neshanic Station,Somerset County,New Jersey,0 +Neshkoro,Marquette County,Wisconsin,0 +Neskowin,Tillamook County,Oregon,0 +Nesmith,Williamsburg County,South Carolina,0 +Nespelem,Okanogan County,Washington,0 +Nesquehoning,Carbon County,Pennsylvania,0 +Ness City,Ness County,Kansas,0 +Netarts,Tillamook County,Oregon,0 +Netawaka,Jackson County,Kansas,0 +Netcong,Morris County,New Jersey,0 +Nett Lake,Koochiching County,Minnesota,0 +Nettie,Nicholas County,West Virginia,0 +Nettleton,Monroe County,Mississippi,0 +Nevada,Story County,Iowa,0 +Nevada,Vernon County,Missouri,0 +Nevada,Wyandot County,Ohio,0 +Nevada,Collin County,Texas,0 +Nevada City,Nevada County,California,0 +Neversink,Sullivan County,New York,0 +Neville,Clermont County,Ohio,0 +Nevis,Hubbard County,Minnesota,0 +Nevisdale,Whitley County,Kentucky,0 +New Albany,Floyd County,Indiana,0 +New Albany,Elk County,Kansas,0 +New Albany,Union County,Mississippi,0 +New Albany,Franklin County,Ohio,0 +New Albany,Bradford County,Pennsylvania,0 +New Albin,Allamakee County,Iowa,0 +New Alexandria,Westmoreland County,Pennsylvania,0 +New Almaden,Santa Clara County,California,0 +New Athens,St. Clair County,Illinois,0 +New Athens,Harrison County,Ohio,0 +New Auburn,Sibley County,Minnesota,0 +New Auburn,Chippewa County,Wisconsin,0 +New Augusta,Perry County,Mississippi,0 +New Baden,Clinton County,Illinois,0 +New Baden,Robertson County,Texas,0 +New Baltimore,Macomb County,Michigan,0 +New Baltimore,Greene County,New York,0 +New Baltimore,Somerset County,Pennsylvania,0 +New Bavaria,Henry County,Ohio,0 +New Bedford,Bureau County,Illinois,0 +New Bedford,Bristol County,Massachusetts,0 +New Bedford,Lawrence County,Pennsylvania,0 +New Berlin,Sangamon County,Illinois,0 +New Berlin,Chenango County,New York,0 +New Berlin,Union County,Pennsylvania,0 +New Berlin,Waukesha County,Wisconsin,0 +New Berlinville,Berks County,Pennsylvania,0 +New Bern,Craven County,North Carolina,0 +New Bethlehem,Clarion County,Pennsylvania,0 +New Blaine,Logan County,Arkansas,0 +New Bloomfield,Callaway County,Missouri,0 +New Bloomfield,Perry County,Pennsylvania,0 +New Bloomington,Marion County,Ohio,0 +New Boston,Mercer County,Illinois,0 +New Boston,Wayne County,Michigan,0 +New Boston,Linn County,Missouri,0 +New Boston,Hillsborough County,New Hampshire,0 +New Boston,Bowie County,Texas,0 +New Braintree,Worcester County,Massachusetts,0 +New Braunfels,Comal County,Texas,0 +New Bremen,Auglaize County,Ohio,0 +New Brighton,Beaver County,Pennsylvania,0 +New Britain,Hartford County,Connecticut,0 +New Brockton,Coffee County,Alabama,0 +New Brunswick,Middlesex County,New Jersey,0 +New Buffalo,Berrien County,Michigan,0 +New Buffalo,Perry County,Pennsylvania,0 +New Burnside,Johnson County,Illinois,0 +New Cambria,Saline County,Kansas,0 +New Cambria,Macon County,Missouri,0 +New Canaan,Fairfield County,Connecticut,0 +New Caney,Montgomery County,Texas,0 +New Canton,Pike County,Illinois,0 +New Canton,Buckingham County,Virginia,0 +New Carlisle,St. Joseph County,Indiana,0 +New Carlisle,Clark County,Ohio,0 +New Castle,Jefferson County,Alabama,0 +New Castle,Garfield County,Colorado,0 +New Castle,New Castle County,Delaware,0 +New Castle,Henry County,Indiana,0 +New Castle,Henry County,Kentucky,0 +New Castle,Rockingham County,New Hampshire,0 +New Castle,Lawrence County,Pennsylvania,0 +New Castle,Craig County,Virginia,0 +New Century,Johnson County,Kansas,0 +New Church,Accomack County,Virginia,0 +New City,Rockland County,New York,0 +New Columbia,Union County,Pennsylvania,0 +New Concord,Calloway County,Kentucky,0 +New Concord,Muskingum County,Ohio,0 +New Creek,Mineral County,West Virginia,0 +New Cumberland,Cumberland County,Pennsylvania,0 +New Cumberland,Hancock County,West Virginia,0 +New Cuyama,Santa Barbara County,California,0 +New Deal,Lubbock County,Texas,0 +New Derry,Westmoreland County,Pennsylvania,0 +New Douglas,Madison County,Illinois,0 +New Durham,Strafford County,New Hampshire,0 +New Eagle,Washington County,Pennsylvania,0 +New Edinburg,Cleveland County,Arkansas,0 +New Effington,Roberts County,South Dakota,0 +New Egypt,Ocean County,New Jersey,0 +New Ellenton,Aiken County,South Carolina,0 +New England,Hettinger County,North Dakota,0 +New Enterprise,Bedford County,Pennsylvania,0 +New Era,Oceana County,Michigan,0 +New Fairfield,Fairfield County,Connecticut,0 +New Florence,Montgomery County,Missouri,0 +New Florence,Westmoreland County,Pennsylvania,0 +New Franken,Brown County,Wisconsin,0 +New Franklin,Howard County,Missouri,0 +New Freedom,York County,Pennsylvania,0 +New Freeport,Greene County,Pennsylvania,0 +New Galilee,Lawrence County,Pennsylvania,0 +New Geneva,Fayette County,Pennsylvania,0 +New Germantown,Perry County,Pennsylvania,0 +New Germany,Carver County,Minnesota,0 +New Glarus,Green County,Wisconsin,0 +New Gloucester,Cumberland County,Maine,0 +New Goshen,Vigo County,Indiana,0 +New Gretna,Burlington County,New Jersey,0 +New Hampshire,Auglaize County,Ohio,0 +New Hampton,Chickasaw County,Iowa,0 +New Hampton,Harrison County,Missouri,0 +New Hampton,Belknap County,New Hampshire,0 +New Hampton,Orange County,New York,0 +New Harbor,Lincoln County,Maine,0 +New Harmony,Posey County,Indiana,0 +New Harmony,Washington County,Utah,0 +New Hartford,Litchfield County,Connecticut,0 +New Hartford,Butler County,Iowa,0 +New Hartford,Oneida County,New York,0 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County,Ohio,0 +New London,Chester County,Pennsylvania,0 +New London,Rusk County,Texas,0 +New London,Waupaca County,Wisconsin,0 +New Lothrop,Shiawassee County,Michigan,0 +New Madison,Darke County,Ohio,0 +New Madrid,New Madrid County,Missouri,0 +New Manchester,Hancock County,West Virginia,0 +New Market,Madison County,Alabama,0 +New Market,Montgomery County,Indiana,0 +New Market,Taylor County,Iowa,0 +New Market,Frederick County,Maryland,0 +New Market,Jefferson County,Tennessee,0 +New Market,Shenandoah County,Virginia,0 +New Marshfield,Athens County,Ohio,0 +New Martinsville,Wetzel County,West Virginia,0 +New Matamoras,Washington County,Ohio,0 +New Meadows,Adams County,Idaho,0 +New Melle,St. Charles County,Missouri,0 +New Memphis,Clinton County,Illinois,0 +New Middletown,Harrison County,Indiana,0 +New Middletown,Mahoning County,Ohio,0 +New Midway,Frederick County,Maryland,0 +New Milford,Litchfield County,Connecticut,0 +New Milford,Bergen County,New Jersey,0 +New Milford,Orange County,New York,0 +New Milford,Susquehanna County,Pennsylvania,0 +New Millport,Clearfield County,Pennsylvania,0 +New Milton,Doddridge County,West Virginia,0 +New Munich,Stearns County,Minnesota,0 +New Munster,Kenosha County,Wisconsin,0 +New Orleans,Jefferson Parish,Louisiana,0 +New Orleans,Orleans Parish,Louisiana,0 +New Oxford,Adams County,Pennsylvania,0 +New Palestine,Hancock County,Indiana,0 +New Paltz,Ulster County,New York,0 +New Paris,Elkhart County,Indiana,0 +New Paris,Preble County,Ohio,0 +New Paris,Bedford County,Pennsylvania,0 +New Park,York County,Pennsylvania,0 +New Philadelphia,Tuscarawas County,Ohio,0 +New Philadelphia,Schuylkill County,Pennsylvania,0 +New Pine Creek,Modoc County,Oregon,0 +New Plymouth,Payette County,Idaho,0 +New Plymouth,Vinton County,Ohio,0 +New Point,Decatur County,Indiana,0 +New Point,Mathews County,Virginia,0 +New Port Richey,Pasco County,Florida,0 +New Portland,Somerset County,Maine,0 +New Prague,Scott County,Minnesota,0 +New Preston Marble Dale,Litchfield County,Connecticut,0 +New Providence,Hardin County,Iowa,0 +New Providence,Union County,New Jersey,0 +New Providence,Lancaster County,Pennsylvania,0 +New Raymer,Weld County,Colorado,0 +New Richland,Waseca County,Minnesota,0 +New Richmond,Montgomery County,Indiana,0 +New Richmond,Clermont County,Ohio,0 +New Richmond,Wyoming County,West Virginia,0 +New Richmond,St. Croix County,Wisconsin,0 +New Riegel,Seneca County,Ohio,0 +New Ringgold,Schuylkill County,Pennsylvania,0 +New River,Maricopa County,Arizona,0 +New River,Pulaski County,Virginia,0 +New Roads,Pointe Coupee Parish,Louisiana,0 +New Rochelle,Westchester County,New York,0 +New Rockford,Eddy County,North Dakota,0 +New Ross,Montgomery County,Indiana,0 +New Rumley,Harrison County,Ohio,0 +New Russia,Essex County,New York,0 +New Salem,Pike County,Illinois,0 +New Salem,Franklin County,Massachusetts,0 +New Salem,Morton County,North Dakota,0 +New Salem,Fayette County,Pennsylvania,0 +New Salisbury,Harrison County,Indiana,0 +New Sarpy,St. Charles Parish,Louisiana,0 +New Sharon,Mahaska County,Iowa,0 +New Sharon,Franklin County,Maine,0 +New Site,Prentiss County,Mississippi,0 +New Smyrna Beach,Volusia County,Florida,0 +New Springfield,Mahoning County,Ohio,0 +New Stanton,Westmoreland County,Pennsylvania,0 +New Straitsville,Perry County,Ohio,0 +New Stuyahok,Dillingham Census Area,Alaska,0 +New Suffolk,Suffolk County,New York,0 +New Summerfield,Cherokee County,Texas,0 +New Sweden,Aroostook County,Maine,0 +New Tazewell,Claiborne County,Tennessee,0 +New Town,Middlesex County,Massachusetts,0 +New Town,Mountrail County,North Dakota,0 +New Trenton,Franklin County,Indiana,0 +New Tripoli,Lehigh County,Pennsylvania,0 +New Troy,Berrien County,Michigan,0 +New Ulm,Brown County,Minnesota,0 +New Ulm,Austin County,Texas,0 +New Underwood,Pennington County,South Dakota,0 +New Vernon,Morris County,New Jersey,0 +New Vienna,Dubuque County,Iowa,0 +New Vienna,Clinton County,Ohio,0 +New Vineyard,Franklin County,Maine,0 +New Virginia,Warren County,Iowa,0 +New Washington,Clark County,Indiana,0 +New Washington,Crawford County,Ohio,0 +New Waterford,Columbiana County,Ohio,0 +New Waverly,Cass County,Indiana,0 +New Waverly,Walker County,Texas,0 +New Weston,Darke County,Ohio,0 +New Wilmington,Lawrence County,Pennsylvania,0 +New Windsor,Mercer County,Illinois,0 +New Windsor,Carroll County,Maryland,0 +New Windsor,Orange County,New York,0 +New Woodstock,Madison County,New York,0 +New York,,New York,0 +New York,New York County,New York,50 +New York Mills,Otter Tail County,Minnesota,0 +New York Mills,Oneida County,New York,0 +New Zion,Clarendon County,South Carolina,0 +Newalla,Cleveland County,Oklahoma,0 +Newark,Independence County,Arkansas,0 +Newark,Alameda County,California,0 +Newark,New Castle County,Delaware,0 +Newark,Kendall County,Illinois,0 +Newark,Worcester County,Maryland,0 +Newark,Knox County,Missouri,0 +Newark,Essex County,New Jersey,0 +Newark,Wayne County,New York,0 +Newark,Licking County,Ohio,0 +Newark,Wise County,Texas,0 +Newark Valley,Tioga County,New York,0 +Newaygo,Newaygo County,Michigan,0 +Newberg,Yamhill County,Oregon,0 +Newbern,Hale County,Alabama,0 +Newbern,Dyer County,Tennessee,0 +Newbern,Pulaski County,Virginia,0 +Newberry,Alachua County,Florida,0 +Newberry,Greene County,Indiana,0 +Newberry,Luce County,Michigan,0 +Newberry,Newberry County,South Carolina,0 +Newberry Springs,San Bernardino County,California,0 +Newborn,Jasper County,Georgia,0 +Newburg,Charles County,Maryland,0 +Newburg,Phelps County,Missouri,0 +Newburg,Bottineau County,North Dakota,0 +Newburg,Cumberland County,Pennsylvania,0 +Newburg,Preston County,West Virginia,0 +Newburg,Washington County,Wisconsin,0 +Newburgh,Warrick County,Indiana,0 +Newburgh,Orange County,New York,0 +Newbury,Essex County,Massachusetts,0 +Newbury,Merrimack County,New Hampshire,0 +Newbury,Geauga County,Ohio,0 +Newbury,Orange County,Vermont,0 +Newbury Park,Ventura County,California,0 +Newburyport,Essex County,Massachusetts,0 +Newcastle,Placer County,California,0 +Newcastle,Lincoln County,Maine,0 +Newcastle,Dixon County,Nebraska,0 +Newcastle,McClain County,Oklahoma,0 +Newcastle,Young County,Texas,0 +Newcastle,Iron County,Utah,0 +Newcastle,Weston County,Wyoming,0 +Newcomb,Talbot County,Maryland,0 +Newcomb,San Juan County,New Mexico,0 +Newcomb,Essex County,New York,0 +Newcomb,Campbell County,Tennessee,0 +Newcomerstown,Tuscarawas County,Ohio,0 +Newdale,Fremont County,Idaho,0 +Newell,Buena Vista County,Iowa,0 +Newell,Mecklenburg County,North Carolina,0 +Newell,Fayette County,Pennsylvania,0 +Newell,Butte County,South Dakota,0 +Newell,Hancock County,West Virginia,0 +Newellton,Tensas Parish,Louisiana,0 +Newfane,Niagara County,New York,0 +Newfane,Windham County,Vermont,0 +Newfield,York County,Maine,0 +Newfield,Gloucester County,New Jersey,0 +Newfield,Tompkins County,New York,0 +Newfields,Rockingham County,New Hampshire,0 +Newfolden,Marshall County,Minnesota,0 +Newfoundland,Passaic County,New Jersey,0 +Newfoundland,Wayne County,Pennsylvania,0 +Newhall,Los Angeles County,California,0 +Newhall,Benton County,Iowa,0 +Newhall,McDowell County,West Virginia,0 +Newhebron,Lawrence County,Mississippi,0 +Newhope,Pike County,Arkansas,0 +Newington,Hartford County,Connecticut,0 +Newington,Screven County,Georgia,0 +Newington,Rockingham County,New Hampshire,0 +Newington,Fairfax County,Virginia,0 +Newkirk,Guadalupe County,New Mexico,0 +Newkirk,Kay County,Oklahoma,0 +Newland,Avery County,North Carolina,0 +Newman,Stanislaus County,California,0 +Newman,Douglas County,Illinois,0 +Newman Grove,Madison County,Nebraska,0 +Newman Lake,Spokane County,Washington,0 +Newmanstown,Lebanon County,Pennsylvania,0 +Newmarket,Rockingham County,New Hampshire,0 +Newnan,Coweta County,Georgia,0 +Newport,Jackson County,Arkansas,0 +Newport,Vermillion County,Indiana,0 +Newport,Campbell County,Kentucky,0 +Newport,Penobscot County,Maine,0 +Newport,Monroe County,Michigan,0 +Newport,Washington County,Minnesota,0 +Newport,Rock County,Nebraska,0 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County,Georgia,0 +Nicholson,Pearl River County,Mississippi,0 +Nicholson,Wyoming County,Pennsylvania,0 +Nicholville,St. Lawrence County,New York,0 +Nickelsville,Scott County,Virginia,0 +Nickerson,Reno County,Kansas,0 +Nickerson,Dodge County,Nebraska,0 +Nicktown,Cambria County,Pennsylvania,0 +Nicolaus,Sutter County,California,0 +Nicollet,Nicollet County,Minnesota,0 +Nicoma Park,Oklahoma County,Oklahoma,0 +Nielsville,Polk County,Minnesota,0 +Nightmute,Bethel Census Area,Alaska,0 +Nikiski,Kenai Peninsula Borough,Alaska,0 +Nikolai,Yukon-Koyukuk Census Area,Alaska,0 +Nikolski,Aleutians West Census Area,Alaska,0 +Niland,Imperial County,California,0 +Niles,Cook County,Illinois,0 +Niles,Berrien County,Michigan,0 +Niles,Trumbull County,Ohio,0 +Nilwood,Macoupin County,Illinois,0 +Nimitz,Summers County,West Virginia,0 +Nimrod,Wadena County,Minnesota,0 +Ninde,King George County,Virginia,0 +Nine Mile Falls,Stevens County,Washington,0 +Ninety Six,Greenwood County,South Carolina,0 +Nineveh,Johnson County,Indiana,0 +Nineveh,Broome County,New York,0 +Nineveh,Greene County,Pennsylvania,0 +Ninilchik,Kenai Peninsula Borough,Alaska,0 +Ninnekah,Grady County,Oklahoma,0 +Ninole,Hawaii County,Hawaii,0 +Niobe,Chautauqua County,New York,0 +Niobrara,Knox County,Nebraska,0 +Niota,Hancock County,Illinois,0 +Niota,McMinn County,Tennessee,0 +Niotaze,Chautauqua County,Kansas,0 +Nipomo,San Luis Obispo County,California,0 +Nipton,San Bernardino County,California,0 +Nisland,Butte County,South Dakota,0 +Nisswa,Crow Wing County,Minnesota,0 +Nisula,Houghton County,Michigan,0 +Nitro,Kanawha County,West Virginia,0 +Niverville,Columbia County,New York,0 +Niwot,Boulder County,Colorado,0 +Nixa,Christian County,Missouri,0 +Nixon,Washoe County,Nevada,0 +Nixon,Gonzales County,Texas,0 +Noatak,Northwest Arctic Borough,Alaska,0 +Noble,Richland County,Illinois,0 +Noble,Sabine Parish,Louisiana,0 +Noble,Ozark County,Missouri,0 +Noble,Cleveland County,Oklahoma,0 +Nobleboro,Lincoln County,Maine,0 +Noblesville,Hamilton County,Indiana,0 +Nobleton,Hernando County,Florida,0 +Nocatee,DeSoto County,Florida,0 +Nocona,Montague County,Texas,0 +Nodaway,Adams County,Iowa,0 +Noel,McDonald County,Missouri,0 +Nogal,Lincoln County,New Mexico,0 +Nogales,Santa Cruz County,Arizona,0 +Nokesville,Prince William County,Virginia,0 +Nokomis,Sarasota County,Florida,0 +Nokomis,Montgomery County,Illinois,0 +Nolan,Nolan County,Texas,0 +Nolanville,Bell County,Texas,0 +Nolensville,Williamson County,Tennessee,0 +Noma,Holmes County,Florida,0 +Nome,Nome Census Area,Alaska,0 +Nome,Barnes County,North Dakota,0 +Nome,Jefferson County,Texas,0 +Nonantum,Middlesex County,Massachusetts,0 +Nondalton,Lake and Peninsula Borough,Alaska,0 +Nooksack,Whatcom County,Washington,0 +Noonan,Divide County,North Dakota,0 +Noorvik,Northwest Arctic Borough,Alaska,0 +Nora,Jo Daviess County,Illinois,0 +Nora,Dickenson County,Virginia,0 +Nora Springs,Floyd County,Iowa,0 +Norborne,Carroll County,Missouri,0 +Norcatur,Decatur County,Kansas,0 +Norco,Riverside County,California,0 +Norco,St. Charles Parish,Louisiana,0 +Norcross,Gwinnett County,Georgia,0 +Norcross,Grant County,Minnesota,0 +Norden,Placer County,California,0 +Nordheim,DeWitt County,Texas,0 +Nordland,Jefferson County,Washington,0 +Nordman,Bonner County,Idaho,0 +Norene,Wilson County,Tennessee,0 +Norfolk,Litchfield County,Connecticut,0 +Norfolk,Norfolk County,Massachusetts,0 +Norfolk,Madison County,Nebraska,0 +Norfolk,St. Lawrence County,New York,0 +Norfolk,Norfolk City,Virginia,0 +Norfolk,Norfolk city,Virginia,0 +Norfolk,Virginia Beach City,Virginia,0 +Norfork,Baxter County,Arkansas,0 +Norge,James City County,Virginia,0 +Norlina,Warren County,North Carolina,0 +Norma,Salem County,New Jersey,0 +Normal,Madison County,Alabama,0 +Normal,McLean County,Illinois,0 +Normal,Mclean County,Illinois,0 +Normalville,Fayette County,Pennsylvania,0 +Norman,Montgomery County,Arkansas,0 +Norman,Jackson County,Indiana,0 +Norman,Richmond County,North Carolina,0 +Norman,Cleveland County,Oklahoma,0 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County,Massachusetts,0 +North Augusta,Aiken County,South Carolina,0 +North Augusta,Edgefield County,South Carolina,0 +North Aurora,Kane County,Illinois,0 +North Babylon,Suffolk County,New York,0 +North Baltimore,Wood County,Ohio,0 +North Bangor,Franklin County,New York,0 +North Bay,Oneida County,New York,0 +North Beach,Calvert County,Maryland,0 +North Bend,Dodge County,Nebraska,0 +North Bend,Hamilton County,Ohio,0 +North Bend,Coos County,Oregon,0 +North Bend,Clinton County,Pennsylvania,0 +North Bend,King County,Washington,0 +North Bennington,Bennington County,Vermont,0 +North Benton,Mahoning County,Ohio,0 +North Bergen,Hudson County,New Jersey,0 +North Berwick,York County,Maine,0 +North Billerica,Middlesex County,Massachusetts,0 +North Blenheim,Schoharie County,New York,0 +North Bloomfield,Trumbull County,Ohio,0 +North Bonneville,Skamania County,Washington,0 +North Boston,Erie County,New York,0 +North Branch,Lapeer County,Michigan,0 +North Branch,Chisago County,Minnesota,0 +North Branch,Sullivan County,New York,0 +North Branford,New Haven County,Connecticut,0 +North Bridgton,Cumberland County,Maine,0 +North Brookfield,Worcester County,Massachusetts,0 +North Brookfield,Madison County,New York,0 +North Brunswick,Middlesex County,New Jersey,0 +North Buena Vista,Clayton County,Iowa,0 +North Canton,Litchfield County,Connecticut,0 +North Canton,Stark County,Ohio,0 +North Carrollton,Carroll County,Mississippi,0 +North Carver,Plymouth County,Massachusetts,0 +North Charleston,Charleston County,South Carolina,0 +North Charleston,Dorchester County,South Carolina,0 +North Chatham,Barnstable County,Massachusetts,0 +North Chatham,Columbia County,New York,0 +North Chelmsford,Middlesex County,Massachusetts,0 +North Chicago,Lake County,Illinois,0 +North Chili,Monroe County,New York,0 +North Clarendon,Rutland County,Vermont,0 +North Collins,Erie County,New York,0 +North Concord,Essex County,Vermont,0 +North Conway,Carroll County,New Hampshire,0 +North Creek,Warren County,New York,0 +North Dartmouth,Bristol County,Massachusetts,0 +North Dighton,Bristol County,Massachusetts,0 +North East,Cecil County,Maryland,0 +North East,Erie County,Pennsylvania,0 +North Eastham,Barnstable County,Massachusetts,0 +North Easton,Bristol County,Massachusetts,0 +North Egremont,Berkshire County,Massachusetts,0 +North English,Iowa County,Iowa,0 +North Evans,Erie County,New York,0 +North Fairfield,Huron County,Ohio,0 +North Falmouth,Barnstable County,Massachusetts,0 +North Ferrisburgh,Addison County,Vermont,0 +North Fork,Madera County,California,0 +North Fork,Lemhi County,Idaho,0 +North Fort Myers,Lee County,Florida,0 +North Franklin,New London County,Connecticut,0 +North Freedom,Sauk County,Wisconsin,0 +North Garden,Albemarle County,Virginia,0 +North Georgetown,Columbiana County,Ohio,0 +North Grafton,Worcester County,Massachusetts,0 +North Granby,Hartford County,Connecticut,0 +North Granville,Washington County,New York,0 +North Greece,Monroe County,New York,0 +North Grosvenordale,Windham County,Connecticut,0 +North Hampton,Rockingham County,New Hampshire,0 +North Hampton,Clark County,Ohio,0 +North Hartland,Windsor County,Vermont,0 +North Hatfield,Hampshire County,Massachusetts,0 +North Haven,New Haven County,Connecticut,0 +North Haven,Knox County,Maine,0 +North Haverhill,Grafton County,New Hampshire,0 +North Henderson,Mercer County,Illinois,0 +North Hero,Grand Isle County,Vermont,0 +North Highlands,Sacramento County,California,0 +North Hills,Los Angeles County,California,0 +North Hollywood,Los Angeles County,California,0 +North Hoosick,Rensselaer County,New York,0 +North Houston,Harris County,Texas,0 +North Hudson,Essex County,New York,0 +North Hyde Park,Lamoille County,Vermont,0 +North Jackson,Mahoning County,Ohio,0 +North Java,Wyoming County,New York,0 +North Jay,Franklin County,Maine,0 +North Judson,Starke County,Indiana,0 +North Kingstown,Washington County,Rhode Island,0 +North Kingsville,Ashtabula County,Ohio,0 +North Lake,Waukesha County,Wisconsin,0 +North Lakewood,Snohomish County,Washington,0 +North Las Vegas,Clark County,Nevada,0 +North Lawrence,St. Lawrence County,New York,0 +North Lawrence,Stark County,Ohio,0 +North Lewisburg,Champaign County,Ohio,0 +North Liberty,St. Joseph County,Indiana,0 +North Liberty,Johnson County,Iowa,0 +North Lima,Mahoning County,Ohio,0 +North Little Rock,Pulaski County,Arkansas,0 +North Loup,Valley County,Nebraska,0 +North Manchester,Wabash County,Indiana,0 +North Marshfield,Plymouth County,Massachusetts,0 +North Matewan,Mingo County,West Virginia,0 +North Metro,Gwinnett County,Georgia,0 +North Miami,Ottawa County,Oklahoma,0 +North Miami Beach,Miami-Dade County,Florida,0 +North Middletown,Bourbon County,Kentucky,0 +North Monmouth,Kennebec County,Maine,0 +North Montpelier,Washington County,Vermont,0 +North Myrtle Beach,Horry County,South Carolina,0 +North Newton,Harvey County,Kansas,0 +North Norwich,Chenango County,New York,0 +North Olmsted,Cuyahoga County,Ohio,0 +North Oxford,Worcester County,Massachusetts,0 +North Palm Beach,Palm Beach County,Florida,0 +North Palm Springs,Riverside County,California,0 +North Pembroke,Plymouth County,Massachusetts,0 +North Pitcher,Chenango County,New York,0 +North Plains,Washington County,Oregon,0 +North Platte,Lincoln County,Nebraska,0 +North Pole,Fairbanks North Star Borough,Alaska,0 +North Pomfret,Windsor County,Vermont,0 +North Port,Sarasota County,Florida,0 +North Powder,Union County,Oregon,0 +North Pownal,Bennington County,Vermont,0 +North Prairie,Waukesha County,Wisconsin,0 +North Providence,Providence County,Rhode Island,0 +North Reading,Middlesex County,Massachusetts,0 +North Richland Hills,Tarrant County,Texas,0 +North Ridgeville,Lorain County,Ohio,0 +North Rim,Coconino County,Arizona,0 +North River,Warren County,New York,0 +North Robinson,Crawford County,Ohio,0 +North Rose,Wayne County,New York,0 +North Royalton,Cuyahoga County,Ohio,0 +North Salem,Hendricks County,Indiana,0 +North Salem,Rockingham County,New Hampshire,0 +North Salem,Westchester County,New York,0 +North Salt Lake,Davis County,Utah,0 +North San Juan,Nevada County,California,0 +North Sandwich,Carroll County,New Hampshire,0 +North Scituate,Plymouth County,Massachusetts,0 +North Scituate,Providence County,Rhode Island,0 +North Sioux City,Union County,South Dakota,0 +North Smithfield,Providence County,Rhode Island,0 +North Spring,Wyoming County,West Virginia,0 +North Springfield,Erie County,Pennsylvania,0 +North Springfield,Windsor County,Vermont,0 +North Star,Gratiot County,Michigan,0 +North Star,Darke County,Ohio,0 +North Stonington,New London County,Connecticut,0 +North Stratford,Coos County,New Hampshire,0 +North Street,St. Clair County,Michigan,0 +North Sutton,Merrimack County,New Hampshire,0 +North Tazewell,Tazewell County,Virginia,0 +North Thetford,Orange County,Vermont,0 +North Tonawanda,Niagara County,New York,0 +North Troy,Orleans County,Vermont,0 +North Truro,Barnstable County,Massachusetts,0 +North Turner,Androscoggin County,Maine,0 +North Uxbridge,Worcester County,Massachusetts,0 +North Vassalboro,Kennebec County,Maine,0 +North Vernon,Jennings County,Indiana,0 +North Versailles,Allegheny County,Pennsylvania,0 +North Wales,Montgomery County,Pennsylvania,0 +North Walpole,Cheshire County,New Hampshire,0 +North Waltham,Middlesex County,Massachusetts,0 +North Washington,Chickasaw County,Iowa,0 +North Washington,Butler County,Pennsylvania,0 +North Waterboro,York County,Maine,0 +North Waterford,Oxford County,Maine,0 +North Webster,Kosciusko County,Indiana,0 +North Westchester,New London County,Connecticut,0 +North Weymouth,Norfolk County,Massachusetts,0 +North Wilkesboro,Wilkes County,North Carolina,0 +North Windham,Windham County,Connecticut,0 +North Woodstock,Grafton County,New Hampshire,0 +North Yarmouth,Cumberland County,Maine,0 +North Zulch,Madison County,Texas,0 +Northampton,Hampshire County,Massachusetts,0 +Northampton,Northampton County,Pennsylvania,0 +Northboro,Page County,Iowa,0 +Northborough,Worcester County,Massachusetts,0 +Northbridge,Worcester County,Massachusetts,0 +Northbrook,Cook County,Illinois,0 +Northeast Harbor,Hancock County,Maine,0 +Northern Cambria,Cambria County,Pennsylvania,0 +Northfield,Litchfield County,Connecticut,0 +Northfield,Franklin County,Massachusetts,0 +Northfield,Rice County,Minnesota,0 +Northfield,Atlantic County,New Jersey,0 +Northfield,Summit County,Ohio,0 +Northfield,Washington County,Vermont,0 +Northfield Falls,Washington County,Vermont,0 +Northford,New Haven County,Connecticut,0 +Northfork,McDowell County,West Virginia,0 +Northome,Koochiching County,Minnesota,0 +Northpoint,Indiana County,Pennsylvania,0 +Northport,Tuscaloosa County,Alabama,0 +Northport,Leelanau County,Michigan,0 +Northport,Suffolk County,New York,0 +Northport,Stevens County,Washington,0 +Northridge,Los Angeles County,California,0 +Northrop,Martin County,Minnesota,0 +Northumberland,Northumberland County,Pennsylvania,0 +Northvale,Bergen County,New Jersey,0 +Northville,Oakland County,Michigan,0 +Northville,Wayne County,Michigan,0 +Northville,Fulton County,New York,0 +Northville,Spink County,South Dakota,0 +Northway,Southeast Fairbanks Census Area,Alaska,0 +Northwood,Worth County,Iowa,0 +Northwood,Rockingham County,New Hampshire,0 +Northwood,Grand Forks County,North Dakota,0 +Northwood,Wood County,Ohio,0 +Norton,Norton County,Kansas,0 +Norton,Bristol County,Massachusetts,0 +Norton,Runnels County,Texas,0 +Norton,Essex County,Vermont,0 +Norton,Norton city,Virginia,0 +Norton,Randolph County,West Virginia,0 +Nortonville,Jefferson County,Kansas,0 +Nortonville,Hopkins County,Kentucky,0 +Norvell,Jackson County,Michigan,0 +Norvelt,Westmoreland County,Pennsylvania,0 +Norwalk,Los Angeles County,California,0 +Norwalk,Fairfield County,Connecticut,0 +Norwalk,Warren County,Iowa,0 +Norwalk,Huron County,Ohio,0 +Norwalk,Monroe County,Wisconsin,0 +Norway,Benton County,Iowa,0 +Norway,Republic County,Kansas,0 +Norway,Oxford County,Maine,0 +Norway,Dickinson County,Michigan,0 +Norway,Orangeburg County,South Carolina,0 +Norwell,Plymouth County,Massachusetts,0 +Norwich,New London County,Connecticut,0 +Norwich,Kingman County,Kansas,0 +Norwich,Chenango County,New York,0 +Norwich,McHenry County,North Dakota,0 +Norwich,Muskingum County,Ohio,0 +Norwich,Windsor County,Vermont,0 +Norwood,San Miguel County,Colorado,0 +Norwood,Warren County,Georgia,0 +Norwood,East Feliciana Parish,Louisiana,0 +Norwood,Norfolk County,Massachusetts,0 +Norwood,Carver County,Minnesota,0 +Norwood,Wright County,Missouri,0 +Norwood,Bergen County,New Jersey,0 +Norwood,St. Lawrence County,New York,0 +Norwood,Stanly County,North Carolina,0 +Norwood,Delaware County,Pennsylvania,0 +Norwood,Nelson County,Virginia,0 +Norwood Young America,Carver County,Minnesota,0 +Notasulga,Macon County,Alabama,0 +Noti,Lane County,Oregon,0 +Notre Dame,St. Joseph County,Indiana,0 +Notrees,Ector County,Texas,0 +Nottawa,St. Joseph County,Michigan,0 +Nottingham,Baltimore County,Maryland,0 +Nottingham,Rockingham County,New Hampshire,0 +Nottingham,Chester County,Pennsylvania,0 +Nottoway,Nottoway County,Virginia,0 +Notus,Canyon County,Idaho,0 +Nova,Ashland County,Ohio,0 +Novato,Marin County,California,0 +Novelty,Knox County,Missouri,0 +Novelty,Geauga County,Ohio,0 +Novi,Oakland County,Michigan,0 +Novice,Coleman County,Texas,0 +Novinger,Adair County,Missouri,0 +Nowata,Nowata County,Oklahoma,0 +Noxapater,Winston County,Mississippi,0 +Noxen,Wyoming County,Pennsylvania,0 +Noxon,Sanders County,Montana,0 +Noyes,Kittson County,Minnesota,0 +Nu Mine,Armstrong County,Pennsylvania,0 +Nubieber,Lassen County,California,0 +Nucla,Montrose County,Colorado,0 +Nuevo,Riverside County,California,0 +Nuiqsut,North Slope Borough,Alaska,0 +Nulato,Yukon-Koyukuk Census Area,Alaska,0 +Numidia,Columbia County,Pennsylvania,0 +Nunam Iqua,Wade Hampton Census Area,Alaska,0 +Nunapitchuk,Bethel Census Area,Alaska,0 +Nunda,Livingston County,New York,0 +Nunda,Lake County,South Dakota,0 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County,Wisconsin,0 +Oak Forest,Cook County,Illinois,0 +Oak Grove,Carroll County,Arkansas,0 +Oak Grove,Christian County,Kentucky,0 +Oak Grove,West Carroll Parish,Louisiana,0 +Oak Grove,Jackson County,Missouri,0 +Oak Hall,Accomack County,Virginia,0 +Oak Harbor,Ottawa County,Ohio,0 +Oak Harbor,Island County,Washington,0 +Oak Hill,Wilcox County,Alabama,0 +Oak Hill,Volusia County,Florida,0 +Oak Hill,Greene County,New York,0 +Oak Hill,Jackson County,Ohio,0 +Oak Hill,Fayette County,West Virginia,0 +Oak Island,Lake of the Woods County,Minnesota,0 +Oak Island,Brunswick County,North Carolina,0 +Oak Lawn,Cook County,Illinois,0 +Oak Park,Ventura County,California,0 +Oak Park,Cook County,Illinois,0 +Oak Park,Oakland County,Michigan,0 +Oak Park,Benton County,Minnesota,0 +Oak Ridge,Richland Parish,Louisiana,0 +Oak Ridge,Cape Girardeau County,Missouri,0 +Oak Ridge,Morris County,New Jersey,0 +Oak Ridge,Guilford County,North Carolina,0 +Oak Ridge,Armstrong County,Pennsylvania,0 +Oak Ridge,Anderson County,Tennessee,0 +Oak Run,Shasta County,California,0 +Oak Vale,Jefferson Davis County,Mississippi,0 +Oak View,Ventura County,California,0 +Oakboro,Stanly County,North Carolina,0 +Oakdale,Stanislaus County,California,0 +Oakdale,New London County,Connecticut,0 +Oakdale,Washington County,Illinois,0 +Oakdale,Johnson County,Iowa,0 +Oakdale,Allen Parish,Louisiana,0 +Oakdale,Antelope County,Nebraska,0 +Oakdale,Suffolk County,New York,0 +Oakdale,Allegheny County,Pennsylvania,0 +Oakdale,Morgan County,Tennessee,0 +Oakdale,Monroe County,Wisconsin,0 +Oakes,Dickey County,North Dakota,0 +Oakesdale,Whitman County,Washington,0 +Oakfield,Worth County,Georgia,0 +Oakfield,Aroostook County,Maine,0 +Oakfield,Genesee County,New York,0 +Oakfield,Madison County,Tennessee,0 +Oakfield,Fond du Lac County,Wisconsin,0 +Oakford,Menard County,Illinois,0 +Oakford,Howard County,Indiana,0 +Oakham,Worcester County,Massachusetts,0 +Oakhurst,Madera County,California,0 +Oakhurst,Monmouth County,New Jersey,0 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County,Tennessee,0 +Oblong,Crawford County,Illinois,0 +Obrien,Shasta County,California,0 +Ocala,Marion County,Florida,0 +Ocate,Mora County,New Mexico,0 +Occidental,Sonoma County,California,0 +Occoquan,Prince William County,Virginia,0 +Ocean Beach,Suffolk County,New York,0 +Ocean Bluff,Plymouth County,Massachusetts,0 +Ocean City,Worcester County,Maryland,0 +Ocean City,Cape May County,New Jersey,0 +Ocean Gate,Ocean County,New Jersey,0 +Ocean Grove,Monmouth County,New Jersey,0 +Ocean Isle Beach,Brunswick County,North Carolina,0 +Ocean Park,York County,Maine,0 +Ocean Park,Pacific County,Washington,0 +Ocean Shores,Grays Harbor County,Washington,0 +Ocean Springs,Jackson County,Mississippi,0 +Ocean View,Sussex County,Delaware,0 +Ocean View,Hawaii County,Hawaii,0 +Ocean View,Cape May County,New Jersey,0 +Oceana,Wyoming County,West Virginia,0 +Oceano,San Luis Obispo County,California,0 +Oceanport,Monmouth County,New Jersey,0 +Oceanside,San Diego County,California,0 +Oceanside,Nassau County,New York,0 +Oceanside,Tillamook County,Oregon,0 +Oceanville,Atlantic County,New Jersey,0 +Oceola,Crawford County,Ohio,0 +Ochelata,Washington County,Oklahoma,0 +Ocheyedan,Osceola County,Iowa,0 +Ochlocknee,Thomas County,Georgia,0 +Ochopee,Collier County,Florida,0 +Ocilla,Irwin County,Georgia,0 +Ocklawaha,Marion County,Florida,0 +Ocoee,Orange County,Florida,0 +Ocoee,Polk County,Tennessee,0 +Oconee,Washington County,Georgia,0 +Oconee,Shelby County,Illinois,0 +Oconomowoc,Waukesha County,Wisconsin,0 +Oconto,Custer County,Nebraska,0 +Oconto,Oconto County,Wisconsin,0 +Oconto Falls,Oconto County,Wisconsin,0 +Ocotillo,Imperial County,California,0 +Ocracoke,Hyde County,North Carolina,0 +Odanah,Ashland County,Wisconsin,0 +Odd,Raleigh County,West Virginia,0 +Odebolt,Sac County,Iowa,0 +Odell,Livingston County,Illinois,0 +Odell,Gage County,Nebraska,0 +Odell,Hood River County,Oregon,0 +Odell,Wilbarger County,Texas,0 +Odem,San Patricio County,Texas,0 +Oden,Montgomery County,Arkansas,0 +Oden,Emmet County,Michigan,0 +Odenton,Anne Arundel County,Maryland,0 +Odenville,St. Clair County,Alabama,0 +Odessa,New Castle County,Delaware,0 +Odessa,Hillsborough County,Florida,0 +Odessa,Big Stone County,Minnesota,0 +Odessa,Lafayette County,Missouri,0 +Odessa,Buffalo County,Nebraska,0 +Odessa,Schuyler County,New York,0 +Odessa,Ector County,Texas,0 +Odessa,Lincoln County,Washington,0 +Odin,Marion County,Illinois,0 +Odin,Watonwan County,Minnesota,0 +Odon,Daviess County,Indiana,0 +Odonnell,Lynn County,Texas,0 +Odum,Wayne County,Georgia,0 +Oelrichs,Fall River County,South Dakota,0 +Oelwein,Fayette County,Iowa,0 +Offerle,Edwards County,Kansas,0 +Offerman,Pierce County,Georgia,0 +Offutt A F B,Sarpy County,Nebraska,0 +Ogallah,Trego County,Kansas,0 +Ogallala,Keith County,Nebraska,0 +Ogden,Little River County,Arkansas,0 +Ogden,Champaign County,Illinois,0 +Ogden,Boone County,Iowa,0 +Ogden,Riley County,Kansas,0 +Ogden,Weber County,Utah,0 +Ogdensburg,Sussex County,New Jersey,0 +Ogdensburg,St. Lawrence County,New York,0 +Ogdensburg,Waupaca County,Wisconsin,0 +Ogema,Becker County,Minnesota,0 +Ogema,Price County,Wisconsin,0 +Ogilvie,Kanabec County,Minnesota,0 +Oglala,Shannon County,South Dakota,0 +Oglesby,LaSalle County,Illinois,0 +Oglesby,Coryell County,Texas,0 +Oglethorpe,Macon County,Georgia,0 +Ogunquit,York County,Maine,0 +Ohatchee,Calhoun County,Alabama,0 +Ohio,Bureau County,Illinois,0 +Ohio City,Gunnison County,Colorado,0 +Ohio City,Van Wert County,Ohio,0 +Ohiopyle,Fayette County,Pennsylvania,0 +Ohiowa,Fillmore County,Nebraska,0 +Ohkay Owingeh,Rio Arriba County,New Mexico,0 +Ohlman,Montgomery County,Illinois,0 +Oil City,Caddo Parish,Louisiana,0 +Oil City,Venango County,Pennsylvania,0 +Oil Springs,Johnson County,Kentucky,0 +Oil Trough,Independence County,Arkansas,0 +Oilmont,Toole County,Montana,0 +Oilton,Creek County,Oklahoma,0 +Oilton,Webb County,Texas,0 +Oilville,Goochland County,Virginia,0 +Ojai,Ventura County,California,0 +Ojibwa,Sawyer County,Wisconsin,0 +Ojo Caliente,Rio Arriba County,New Mexico,0 +Ojo Feliz,Mora County,New Mexico,0 +Okabena,Jackson County,Minnesota,0 +Okahumpka,Lake County,Florida,0 +Okanogan,Okanogan County,Washington,0 +Okarche,Kingfisher County,Oklahoma,0 +Okatie,Beaufort County,South Carolina,0 +Okaton,Jones County,South Dakota,0 +Okauchee,Waukesha County,Wisconsin,0 +Okawville,Washington County,Illinois,0 +Okay,Wagoner County,Oklahoma,0 +Okeana,Butler County,Ohio,0 +Okeechobee,Okeechobee County,Florida,0 +Okeene,Major County,Oklahoma,0 +Okemah,Okfuskee County,Oklahoma,0 +Okemos,Ingham County,Michigan,0 +Oketo,Marshall County,Kansas,0 +Oklahoma City,Canadian County,Oklahoma,0 +Oklahoma City,Cleveland County,Oklahoma,0 +Oklahoma City,Oklahoma County,Oklahoma,0 +Oklaunion,Wilbarger County,Texas,0 +Oklee,Red Lake County,Minnesota,0 +Okmulgee,Okmulgee County,Oklahoma,0 +Okoboji,Dickinson County,Iowa,0 +Okolona,Clark County,Arkansas,0 +Okolona,Chickasaw County,Mississippi,0 +Okolona,Henry County,Ohio,0 +Okreek,Todd County,South Dakota,0 +Oktaha,Muskogee County,Oklahoma,0 +Ola,Yell County,Arkansas,0 +Ola,Gem County,Idaho,0 +Olalla,Kitsap County,Washington,0 +Olamon,Penobscot County,Maine,0 +Olancha,Inyo County,California,0 +Olanta,Clearfield County,Pennsylvania,0 +Olanta,Florence County,South Carolina,0 +Olar,Bamberg County,South Carolina,0 +Olathe,Montrose County,Colorado,0 +Olathe,Johnson County,Kansas,0 +Olaton,Ohio County,Kentucky,0 +Olcott,Niagara County,New York,0 +Old Appleton,Cape Girardeau County,Missouri,0 +Old Bethpage,Nassau County,New York,0 +Old Bridge,Middlesex County,New Jersey,0 +Old Chatham,Columbia County,New York,0 +Old Fields,Hardy County,West Virginia,0 +Old Forge,Herkimer County,New York,0 +Old Forge,Lackawanna County,Pennsylvania,0 +Old Fort,McDowell County,North Carolina,0 +Old Fort,Seneca County,Ohio,0 +Old Fort,Polk County,Tennessee,0 +Old Glory,Stonewall County,Texas,0 +Old Greenwich,Fairfield County,Connecticut,0 +Old Harbor,Kodiak Island Borough,Alaska,0 +Old Hickory,Davidson County,Tennessee,0 +Old Lyme,New London County,Connecticut,0 +Old Mission,Grand Traverse County,Michigan,0 +Old Monroe,Lincoln County,Missouri,0 +Old Mystic,New London County,Connecticut,0 +Old Ocean,Brazoria County,Texas,0 +Old Orchard Beach,York County,Maine,0 +Old Saybrook,Middlesex County,Connecticut,0 +Old Station,Shasta County,California,0 +Old Town,Dixie County,Florida,0 +Old Town,Penobscot County,Maine,0 +Old Washington,Guernsey County,Ohio,0 +Old Westbury,Nassau County,New York,0 +Old Zionsville,Lehigh County,Pennsylvania,0 +Olden,Eastland County,Texas,0 +Oldenburg,Franklin County,Indiana,0 +Oldfield,Christian County,Missouri,0 +Oldham,Kingsbury County,South Dakota,0 +Oldhams,Westmoreland County,Virginia,0 +Olds,Henry County,Iowa,0 +Oldsmar,Pinellas County,Florida,0 +Oldtown,Bonner County,Idaho,0 +Oldtown,Allegany County,Maryland,0 +Oldwick,Hunterdon County,New Jersey,0 +Olean,Miller County,Missouri,0 +Olean,Cattaraugus County,New York,0 +Olema,Marin County,California,0 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County,Illinois,0 +Olney,Montgomery County,Maryland,0 +Olney,Lincoln County,Missouri,0 +Olney,Flathead County,Montana,0 +Olney,Young County,Texas,0 +Olney Springs,Crowley County,Colorado,0 +Olpe,Lyon County,Kansas,0 +Olsburg,Pottawatomie County,Kansas,0 +Olton,Lamb County,Texas,0 +Olustee,Baker County,Florida,0 +Olustee,Jackson County,Oklahoma,0 +Olympia,Bath County,Kentucky,0 +Olympia,Thurston County,Washington,0 +Olympia Fields,Cook County,Illinois,0 +Olympic Valley,Placer County,California,0 +Olyphant,Lackawanna County,Pennsylvania,0 +Omaha,Boone County,Arkansas,0 +Omaha,Stewart County,Georgia,0 +Omaha,Gallatin County,Illinois,0 +Omaha,Douglas County,Nebraska,0 +Omaha,Sarpy County,Nebraska,0 +Omaha,Morris County,Texas,0 +Omak,Okanogan County,Washington,0 +Omar,Logan County,West Virginia,0 +Omega,Tift County,Georgia,0 +Omega,Kingfisher County,Oklahoma,0 +Omena,Leelanau County,Michigan,0 +Omer,Arenac County,Michigan,0 +Omro,Winnebago County,Wisconsin,0 +Ona,Hardee County,Florida,0 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County,Virginia,0 +Ophiem,Henry County,Illinois,0 +Ophir,San Miguel County,Colorado,0 +Ophir,Morgan County,Kentucky,0 +Ophir,Curry County,Oregon,0 +Opolis,Crawford County,Kansas,0 +Opp,Covington County,Alabama,0 +Oquawka,Henderson County,Illinois,0 +Oquossoc,Franklin County,Maine,0 +Ora,Starke County,Indiana,0 +Oracle,Pinal County,Arizona,0 +Oradell,Bergen County,New Jersey,0 +Oral,Fall River County,South Dakota,0 +Oran,Fayette County,Iowa,0 +Oran,Scott County,Missouri,0 +Orange,Orange County,California,0 +Orange,New Haven County,Connecticut,0 +Orange,Franklin County,Massachusetts,0 +Orange,Essex County,New Jersey,0 +Orange,Orange County,Texas,0 +Orange,Orange County,Virginia,0 +Orange Beach,Baldwin County,Alabama,0 +Orange City,Volusia County,Florida,0 +Orange City,Sioux County,Iowa,0 +Orange Cove,Fresno County,California,0 +Orange Grove,Jim Wells County,Texas,0 +Orange Lake,Marion County,Florida,0 +Orange Park,Clay County,Florida,0 +Orange Springs,Marion County,Florida,0 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County,Wisconsin,0 +Oregon City,Clackamas County,Oregon,0 +Oregon House,Yuba County,California,0 +Oregonia,Warren County,Ohio,0 +Oreland,Montgomery County,Pennsylvania,0 +Orem,Utah County,Utah,0 +Orestes,Madison County,Indiana,0 +Orford,Grafton County,New Hampshire,0 +Orfordville,Rock County,Wisconsin,0 +Organ,Do�a Ana County,New Mexico,0 +Orgas,Boone County,West Virginia,0 +Orick,Humboldt County,California,0 +Orient,Franklin County,Illinois,0 +Orient,Adair County,Iowa,0 +Orient,Aroostook County,Maine,0 +Orient,Suffolk County,New York,0 +Orient,Pickaway County,Ohio,0 +Orient,Hand County,South Dakota,0 +Orient,Ferry County,Washington,0 +Oriental,Pamlico County,North Carolina,0 +Orinda,Contra Costa County,California,0 +Orion,Henry County,Illinois,0 +Oriska,Barnes County,North Dakota,0 +Oriskany,Oneida County,New York,0 +Oriskany,Botetourt County,Virginia,0 +Oriskany Falls,Oneida County,New York,0 +Orkney Springs,Shenandoah County,Virginia,0 +Orla,Reeves County,Texas,0 +Orland,Glenn County,California,0 +Orland,Steuben County,Indiana,0 +Orland,Hancock County,Maine,0 +Orland Park,Cook County,Illinois,0 +Orlando,Brevard County,Florida,0 +Orlando,Orange County,Florida,0 +Orlando,Rockcastle County,Kentucky,0 +Orlando,Logan County,Oklahoma,0 +Orlando,Lewis County,West Virginia,0 +Orlean,Fauquier County,Virginia,0 +Orleans,Humboldt County,California,0 +Orleans,Orange County,Indiana,0 +Orleans,Barnstable County,Massachusetts,0 +Orleans,Ionia County,Michigan,0 +Orleans,Harlan County,Nebraska,0 +Orleans,Orleans County,Vermont,0 +Orlinda,Robertson County,Tennessee,0 +Orma,Calhoun County,West Virginia,0 +Ormond Beach,Volusia County,Florida,0 +Ormsby,Martin County,Minnesota,0 +Oro Grande,San Bernardino County,California,0 +Orocovis,Orocovis Municipio,Puerto Rico,0 +Orofino,Clearwater County,Idaho,0 +Orogrande,Otero County,New Mexico,0 +Orondo,Douglas County,Washington,0 +Orono,Penobscot County,Maine,0 +Oronoco,Olmsted County,Minnesota,0 +Oronogo,Jasper County,Missouri,0 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+Osage Beach,Camden County,Missouri,0 +Osage City,Osage County,Kansas,0 +Osakis,Douglas County,Minnesota,0 +Osawatomie,Miami County,Kansas,0 +Osborn,DeKalb County,Missouri,0 +Osborne,Osborne County,Kansas,0 +Osburn,Shoshone County,Idaho,0 +Oscar,Pointe Coupee Parish,Louisiana,0 +Oscar,Jefferson County,Oklahoma,0 +Osceola,Mississippi County,Arkansas,0 +Osceola,St. Joseph County,Indiana,0 +Osceola,Clarke County,Iowa,0 +Osceola,St. Clair County,Missouri,0 +Osceola,Polk County,Nebraska,0 +Osceola,Tioga County,Pennsylvania,0 +Osceola,Polk County,Wisconsin,0 +Osceola Mills,Clearfield County,Pennsylvania,0 +Osco,Henry County,Illinois,0 +Oscoda,Iosco County,Michigan,0 +Osgood,Ripley County,Indiana,0 +Osgood,Darke County,Ohio,0 +Oshkosh,Garden County,Nebraska,0 +Oshkosh,Winnebago County,Wisconsin,0 +Oshtemo,Kalamazoo County,Michigan,0 +Oskaloosa,Mahaska County,Iowa,0 +Oskaloosa,Jefferson County,Kansas,0 +Oslo,Marshall County,Minnesota,0 +Osmond,Pierce County,Nebraska,0 +Osnabrock,Cavalier County,North Dakota,0 +Osprey,Sarasota County,Florida,0 +Osseo,Hillsdale County,Michigan,0 +Osseo,Hennepin County,Minnesota,0 +Osseo,Trempealeau County,Wisconsin,0 +Ossian,Wells County,Indiana,0 +Ossian,Winneshiek County,Iowa,0 +Ossineke,Alpena County,Michigan,0 +Ossining,Westchester County,New York,0 +Ossipee,Carroll County,New Hampshire,0 +Osteen,Volusia County,Florida,0 +Osterburg,Bedford County,Pennsylvania,0 +Osterville,Barnstable County,Massachusetts,0 +Ostrander,Fillmore County,Minnesota,0 +Ostrander,Delaware County,Ohio,0 +Oswegatchie,St. Lawrence County,New York,0 +Oswego,Kendall County,Illinois,0 +Oswego,Labette County,Kansas,0 +Oswego,Oswego County,New York,0 +Osyka,Pike County,Mississippi,0 +Otego,Otsego County,New York,0 +Othello,Adams County,Washington,0 +Otho,Webster County,Iowa,0 +Otis,Washington County,Colorado,0 +Otis,Rush County,Kansas,0 +Otis,Rapides Parish,Louisiana,0 +Otis,Berkshire County,Massachusetts,0 +Otis,Lincoln County,Oregon,0 +Otis Orchards,Spokane County,Washington,0 +Otisco,Clark County,Indiana,0 +Otisville,Genesee County,Michigan,0 +Otisville,Orange County,New York,0 +Otley,Marion County,Iowa,0 +Oto,Woodbury County,Iowa,0 +Otoe,Otoe County,Nebraska,0 +Otsego,Allegan County,Michigan,0 +Ottawa,LaSalle County,Illinois,0 +Ottawa,Franklin County,Kansas,0 +Ottawa,Putnam County,Ohio,0 +Ottawa,Boone County,West Virginia,0 +Ottawa Lake,Monroe County,Michigan,0 +Otter,Powder River County,Montana,0 +Otter Creek,Levy County,Florida,0 +Otter Lake,Lapeer County,Michigan,0 +Otter Rock,Lincoln County,Oregon,0 +Otterbein,Benton County,Indiana,0 +Ottertail,Otter Tail County,Minnesota,0 +Otterville,Cooper County,Missouri,0 +Ottine,Gonzales County,Texas,0 +Otto,Cattaraugus County,New York,0 +Otto,Macon County,North Carolina,0 +Otto,Big Horn County,Wyoming,0 +Ottosen,Humboldt County,Iowa,0 +Ottoville,Putnam County,Ohio,0 +Ottsville,Bucks County,Pennsylvania,0 +Ottumwa,Wapello County,Iowa,0 +Otway,Scioto County,Ohio,0 +Otwell,Pike County,Indiana,0 +Ouaquaga,Broome County,New York,0 +Ouray,Ouray County,Colorado,0 +Outing,Cass County,Minnesota,0 +Outlook,Sheridan County,Montana,0 +Outlook,Yakima County,Washington,0 +Ouzinkie,Kodiak Island Borough,Alaska,0 +Ovalo,Taylor County,Texas,0 +Ovando,Powell County,Montana,0 +Overbrook,Osage County,Kansas,0 +Overbrook,Love County,Oklahoma,0 +Overgaard,Navajo County,Arizona,0 +Overland Park,Johnson County,Kansas,0 +Overpeck,Butler County,Ohio,0 +Overton,Dawson County,Nebraska,0 +Overton,Clark County,Nevada,0 +Overton,Rusk County,Texas,0 +Ovett,Jones County,Mississippi,0 +Ovid,Sedgwick County,Colorado,0 +Ovid,Clinton County,Michigan,0 +Ovid,Seneca County,New York,0 +Oviedo,Seminole County,Florida,0 +Owaneco,Christian County,Illinois,0 +Owanka,Pennington County,South Dakota,0 +Owasso,Tulsa County,Oklahoma,0 +Owatonna,Steele County,Minnesota,0 +Owego,Tioga County,New York,0 +Owen,Clark County,Wisconsin,0 +Owendale,Huron County,Michigan,0 +Owens Cross Roads,Madison County,Alabama,0 +Owensboro,Daviess County,Kentucky,0 +Owensburg,Greene County,Indiana,0 +Owensville,Gibson County,Indiana,0 +Owensville,Gasconade County,Missouri,0 +Owensville,Clermont County,Ohio,0 +Owenton,Owen County,Kentucky,0 +Owings,Calvert County,Maryland,0 +Owings Mills,Baltimore County,Maryland,0 +Owingsville,Bath County,Kentucky,0 +Owls Head,Knox County,Maine,0 +Owls Head,Franklin County,New York,0 +Owosso,Shiawassee County,Michigan,0 +Owyhee,Elko County,Nevada,0 +Oxbow,Aroostook County,Maine,0 +Oxbow,Jefferson County,New York,0 +Oxbow,Baker County,Oregon,0 +Oxford,Calhoun County,Alabama,0 +Oxford,Izard County,Arkansas,0 +Oxford,New Haven County,Connecticut,0 +Oxford,Sumter County,Florida,0 +Oxford,Newton County,Georgia,0 +Oxford,Benton County,Indiana,0 +Oxford,Johnson County,Iowa,0 +Oxford,Sumner County,Kansas,0 +Oxford,Oxford County,Maine,0 +Oxford,Talbot County,Maryland,0 +Oxford,Worcester County,Massachusetts,0 +Oxford,Oakland County,Michigan,0 +Oxford,Lafayette County,Mississippi,0 +Oxford,Furnas County,Nebraska,0 +Oxford,Warren County,New Jersey,0 +Oxford,Chenango County,New York,0 +Oxford,Granville County,North Carolina,0 +Oxford,Butler County,Ohio,0 +Oxford,Chester County,Pennsylvania,0 +Oxford,Adams County,Wisconsin,0 +Oxford Junction,Jones County,Iowa,0 +Oxly,Ripley County,Missouri,0 +Oxnard,Ventura County,California,0 +Oxon Hill,Prince George's County,Maryland,0 +Oyens,Plymouth County,Iowa,0 +Oyster,Northampton County,Virginia,0 +Oyster Bay,Nassau County,New York,0 +Oysterville,Pacific County,Washington,0 +Ozan,Hempstead County,Arkansas,0 +Ozark,Dale County,Alabama,0 +Ozark,Franklin County,Arkansas,0 +Ozark,Johnson County,Illinois,0 +Ozark,Christian County,Missouri,0 +Ozawkie,Jefferson County,Kansas,0 +Ozona,Pinellas County,Florida,0 +Ozona,Crockett County,Texas,0 +Ozone,Johnson County,Arkansas,0 +Ozone Park,Queens County,New York,0 +Paauilo,Hawaii County,Hawaii,0 +Pablo,Lake County,Montana,0 +Pace,Bolivar County,Mississippi,0 +Pachuta,Jasper County,Mississippi,0 +Pacific,Franklin County,Missouri,0 +Pacific,King County,Washington,0 +Pacific Beach,Grays Harbor County,Washington,0 +Pacific City,Tillamook County,Oregon,0 +Pacific Grove,Monterey County,California,0 +Pacific Junction,Mills County,Iowa,0 +Pacific Palisades,Los Angeles County,California,0 +Pacifica,San Mateo County,California,0 +Packwaukee,Marquette County,Wisconsin,0 +Packwood,Jefferson County,Iowa,0 +Packwood,Lewis County,Washington,0 +Pacoima,Los Angeles County,California,0 +Pacolet,Spartanburg County,South Carolina,0 +Pacolet Mills,Spartanburg County,South Carolina,0 +Paden,Okfuskee County,Oklahoma,0 +Paden City,Wetzel County,West Virginia,0 +Padroni,Logan County,Colorado,0 +Paducah,McCracken County,Kentucky,0 +Paducah,Mccracken County,Kentucky,0 +Paducah,Cottle County,Texas,0 +Paeonian Springs,Loudoun County,Virginia,0 +Page,Coconino County,Arizona,0 +Page,Holt County,Nebraska,0 +Page,Cass County,North Dakota,0 +Page,Fayette County,West Virginia,0 +Pageland,Chesterfield County,South Carolina,0 +Pageton,McDowell County,West Virginia,0 +Pagosa Springs,Archuleta County,Colorado,0 +Paguate,Cibola County,New Mexico,0 +Pahala,Hawaii County,Hawaii,0 +Pahoa,Hawaii County,Hawaii,0 +Pahokee,Palm Beach County,Florida,0 +Pahrump,Nye County,Nevada,0 +Paia,Maui County,Hawaii,0 +Paicines,San Benito County,California,0 +Paige,Bastrop County,Texas,0 +Paincourtville,Assumption Parish,Louisiana,0 +Painesdale,Houghton County,Michigan,0 +Painesville,Lake County,Ohio,0 +Paint Bank,Craig County,Virginia,0 +Paint Lick,Madison County,Kentucky,0 +Paint Rock,Jackson County,Alabama,0 +Paint Rock,Concho County,Texas,0 +Painted Post,Steuben County,New York,0 +Painter,Accomack County,Virginia,0 +Paintsville,Johnson County,Kentucky,0 +Paisley,Lake County,Florida,0 +Paisley,Lake County,Oregon,0 +Pala,San Diego County,California,0 +Palacios,Matagorda County,Texas,0 +Palatine,Cook County,Illinois,0 +Palatine Bridge,Montgomery County,New York,0 +Palatka,Putnam County,Florida,0 +Palco,Rooks County,Kansas,0 +Palenville,Greene County,New York,0 +Palermo,Butte County,California,0 +Palermo,Waldo County,Maine,0 +Palermo,Mountrail County,North Dakota,0 +Palestine,St. Francis County,Arkansas,0 +Palestine,Crawford County,Illinois,0 +Palestine,Darke County,Ohio,0 +Palestine,Anderson County,Texas,0 +Palestine,Wirt County,West Virginia,0 +Palisade,Mesa County,Colorado,0 +Palisade,Aitkin County,Minnesota,0 +Palisade,Hitchcock County,Nebraska,0 +Palisades,Rockland County,New York,0 +Palisades,Douglas County,Washington,0 +Palisades Park,Bergen County,New Jersey,0 +Pall Mall,Pickett County,Tennessee,0 +Palm,Montgomery County,Pennsylvania,0 +Palm Bay,Brevard County,Florida,0 +Palm Beach,Palm Beach County,Florida,0 +Palm Beach Gardens,Palm Beach County,Florida,0 +Palm City,Martin County,Florida,0 +Palm Coast,Flagler County,Florida,0 +Palm Desert,Riverside County,California,0 +Palm Harbor,Pinellas County,Florida,0 +Palm Springs,Riverside County,California,0 +Palmdale,Los Angeles County,California,0 +Palmdale,Glades County,Florida,0 +Palmer,Matanuska-Susitna Borough,Alaska,0 +Palmer,Christian County,Illinois,0 +Palmer,Pocahontas County,Iowa,0 +Palmer,Washington County,Kansas,0 +Palmer,Hampden County,Massachusetts,0 +Palmer,Marquette County,Michigan,0 +Palmer,Merrick County,Nebraska,0 +Palmer,,Puerto Rico,0 +Palmer,Grundy County,Tennessee,0 +Palmer,Ellis County,Texas,0 +Palmer Lake,El Paso County,Colorado,0 +Palmerdale,Jefferson County,Alabama,0 +Palmersville,Weakley County,Tennessee,0 +Palmerton,Carbon County,Pennsylvania,0 +Palmetto,Manatee County,Florida,0 +Palmetto,Fulton County,Georgia,0 +Palmetto,St. Landry Parish,Louisiana,0 +Palms,Sanilac County,Michigan,0 +Palmyra,Macoupin County,Illinois,0 +Palmyra,Harrison County,Indiana,0 +Palmyra,Somerset County,Maine,0 +Palmyra,Lenawee County,Michigan,0 +Palmyra,Marion County,Missouri,0 +Palmyra,Otoe County,Nebraska,0 +Palmyra,Burlington County,New Jersey,0 +Palmyra,Wayne County,New York,0 +Palmyra,Lebanon County,Pennsylvania,0 +Palmyra,Montgomery County,Tennessee,0 +Palmyra,Fluvanna County,Virginia,0 +Palmyra,Jefferson County,Wisconsin,0 +Palo,Linn County,Iowa,0 +Palo,Ionia County,Michigan,0 +Palo Alto,San Mateo County,California,0 +Palo Alto,Santa Clara County,California,0 +Palo Cedro,Shasta County,California,0 +Palo Pinto,Palo Pinto County,Texas,0 +Palo Verde,Maricopa County,Arizona,0 +Palo Verde,Imperial County,California,0 +Paloma,Adams County,Illinois,0 +Palomar Mountain,San Diego County,California,0 +Palos Heights,Cook County,Illinois,0 +Palos Hills,Cook County,Illinois,0 +Palos Park,Cook County,Illinois,0 +Palos Verdes Peninsula,Los Angeles County,California,0 +Palouse,Whitman County,Washington,0 +Paluxy,Hood County,Texas,0 +Pampa,Gray County,Texas,0 +Pamplico,Florence County,South Carolina,0 +Pamplin,Appomattox County,Virginia,0 +Pana,Christian County,Illinois,0 +Panaca,Lincoln County,Nevada,0 +Panacea,Wakulla County,Florida,0 +Panama,Montgomery County,Illinois,0 +Panama,Shelby County,Iowa,0 +Panama,Lancaster County,Nebraska,0 +Panama,Chautauqua County,New York,0 +Panama,Le Flore County,Oklahoma,0 +Panama City,Bay County,Florida,0 +Panama City Beach,Bay County,Florida,0 +Pandora,Putnam County,Ohio,0 +Pandora,Wilson County,Texas,0 +Pangburn,White County,Arkansas,0 +Panguitch,Garfield County,Utah,0 +Panhandle,Carson County,Texas,0 +Panna Maria,Karnes County,Texas,0 +Panola,Sumter County,Alabama,0 +Panola,Latimer County,Oklahoma,0 +Panola,Panola County,Texas,0 +Panora,Guthrie County,Iowa,0 +Panorama City,Los Angeles County,California,0 +Pansey,Houston County,Alabama,0 +Pantego,Beaufort County,North Carolina,0 +Panther,McDowell County,West Virginia,0 +Panther Burn,Sharkey County,Mississippi,0 +Paola,Miami County,Kansas,0 +Paoli,Phillips County,Colorado,0 +Paoli,Orange County,Indiana,0 +Paoli,Garvin County,Oklahoma,0 +Paoli,Chester County,Pennsylvania,0 +Paonia,Delta County,Colorado,0 +Papaaloa,Hawaii County,Hawaii,0 +Papaikou,Hawaii County,Hawaii,0 +Papillion,Sarpy County,Nebraska,0 +Papineau,Iroquois County,Illinois,0 +Parachute,Garfield County,Colorado,0 +Paradis,St. Charles Parish,Louisiana,0 +Paradise,Butte County,California,0 +Paradise,Russell County,Kansas,0 +Paradise,Chippewa County,Michigan,0 +Paradise,Sanders County,Montana,0 +Paradise,Lancaster County,Pennsylvania,0 +Paradise,Wise County,Texas,0 +Paradise,Cache County,Utah,0 +Paradise Inn,Lewis County,Washington,0 +Paradise Valley,Maricopa County,Arizona,0 +Paradise Valley,Humboldt County,Nevada,0 +Paradox,Montrose County,Colorado,0 +Paradox,Essex County,New York,0 +Paragon,Morgan County,Indiana,0 +Paragonah,Iron County,Utah,0 +Paragould,Greene County,Arkansas,0 +Paramount,Los Angeles County,California,0 +Paramus,Bergen County,New Jersey,0 +Parcel Return Service,,District of Columbia,0 +Parcel Return Service,District of Columbia,District of Columbia,0 +Parchman,Sunflower County,Mississippi,0 +Pardeeville,Columbia County,Wisconsin,0 +Paris,Logan County,Arkansas,0 +Paris,Bear Lake County,Idaho,0 +Paris,Edgar County,Illinois,0 +Paris,Bourbon County,Kentucky,0 +Paris,Oxford County,Maine,0 +Paris,Mecosta County,Michigan,0 +Paris,Lafayette County,Mississippi,0 +Paris,Monroe County,Missouri,0 +Paris,Stark County,Ohio,0 +Paris,Henry County,Tennessee,0 +Paris,Lamar County,Texas,0 +Paris,Clarke County,Virginia,0 +Paris Crossing,Jennings County,Indiana,0 +Parish,Oswego County,New York,0 +Parishville,St. Lawrence County,New York,0 +Park,Gove County,Kansas,0 +Park City,Barren County,Kentucky,0 +Park City,Stillwater County,Montana,0 +Park City,Summit County,Utah,0 +Park Falls,Price County,Wisconsin,0 +Park Forest,Cook County,Illinois,0 +Park Hall,St. Mary's County,Maryland,0 +Park Hill,Cherokee County,Oklahoma,0 +Park Hills,St. Francois County,Missouri,0 +Park Rapids,Hubbard County,Minnesota,0 +Park Ridge,Cook County,Illinois,0 +Park Ridge,Bergen County,New Jersey,0 +Park River,Walsh County,North Dakota,0 +Park Valley,Box Elder County,Utah,0 +Parkdale,Ashley County,Arkansas,0 +Parker,La Paz County,Arizona,0 +Parker,Douglas County,Colorado,0 +Parker,Fremont County,Idaho,0 +Parker,Linn County,Kansas,0 +Parker,Clarion County,Pennsylvania,0 +Parker,Turner County,South Dakota,0 +Parker,Yakima County,Washington,0 +Parker City,Randolph County,Indiana,0 +Parker Dam,San Bernardino County,California,0 +Parker Ford,Chester County,Pennsylvania,0 +Parkers Lake,McCreary County,Kentucky,0 +Parkers Prairie,Otter Tail County,Minnesota,0 +Parkersburg,Richland County,Illinois,0 +Parkersburg,Butler County,Iowa,0 +Parkersburg,Wood County,West Virginia,0 +Parkesburg,Chester County,Pennsylvania,0 +Parkhill,Cambria County,Pennsylvania,0 +Parkin,Cross County,Arkansas,0 +Parkman,Geauga County,Ohio,0 +Parkman,Sheridan County,Wyoming,0 +Parks,Coconino County,Arizona,0 +Parks,Scott County,Arkansas,0 +Parks,Dundy County,Nebraska,0 +Parksley,Accomack County,Virginia,0 +Parkston,Hutchinson County,South Dakota,0 +Parksville,Boyle County,Kentucky,0 +Parksville,Sullivan County,New York,0 +Parksville,McCormick County,South Carolina,0 +Parkton,Baltimore County,Maryland,0 +Parkton,Robeson County,North Carolina,0 +Parkville,Baltimore County,Maryland,0 +Parlier,Fresno County,California,0 +Parlin,Gunnison County,Colorado,0 +Parlin,Middlesex County,New Jersey,0 +Parma,Canyon County,Idaho,0 +Parma,Jackson County,Michigan,0 +Parma,New Madrid County,Missouri,0 +Parmele,Martin County,North Carolina,0 +Parmelee,Mellette County,South Dakota,0 +Parnell,Iowa County,Iowa,0 +Parnell,Nodaway County,Missouri,0 +Paron,Saline County,Arkansas,0 +Parowan,Iron County,Utah,0 +Parrish,Walker County,Alabama,0 +Parrish,Manatee County,Florida,0 +Parrott,Terrell County,Georgia,0 +Parrott,Pulaski County,Virginia,0 +Parrottsville,Cocke County,Tennessee,0 +Parryville,Carbon County,Pennsylvania,0 +Parshall,Grand County,Colorado,0 +Parshall,Mountrail County,North Dakota,0 +Parsippany,Morris County,New Jersey,0 +Parsons,Labette County,Kansas,0 +Parsons,Decatur County,Tennessee,0 +Parsons,Tucker County,West Virginia,0 +Parsonsburg,Wicomico County,Maryland,0 +Parsonsfield,York County,Maine,0 +Parthenon,Newton County,Arkansas,0 +Partlow,Spotsylvania County,Virginia,0 +Partridge,Reno County,Kansas,0 +Partridge,Letcher County,Kentucky,0 +Pasadena,Los Angeles County,California,0 +Pasadena,Anne Arundel County,Maryland,0 +Pasadena,Harris County,Texas,0 +Pascagoula,Jackson County,Mississippi,0 +Pasco,Franklin County,Washington,0 +Pascoag,Providence County,Rhode Island,0 +Paskenta,Tehama County,California,0 +Paso Robles,San Luis Obispo County,California,0 +Pass Christian,Harrison County,Mississippi,0 +Passadumkeag,Penobscot County,Maine,0 +Passaic,Passaic County,New Jersey,0 +Passumpsic,Caledonia County,Vermont,0 +Patagonia,Santa Cruz County,Arizona,0 +Pataskala,Licking County,Ohio,0 +Patch Grove,Grant County,Wisconsin,0 +Patchogue,Suffolk County,New York,0 +Pateros,Okanogan County,Washington,0 +Paterson,Passaic County,New Jersey,0 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County,Missouri,0 +Patton,Cambria County,Pennsylvania,0 +Pattonsburg,Daviess County,Missouri,0 +Pattonville,Lamar County,Texas,0 +Patuxent River,St. Mary's County,Maryland,0 +Paul,Minidoka County,Idaho,0 +Paul Smiths,Franklin County,New York,0 +Paulden,Yavapai County,Arizona,0 +Paulding,Jasper County,Mississippi,0 +Paulding,Paulding County,Ohio,0 +Paulina,St. James Parish,Louisiana,0 +Paulina,Crook County,Oregon,0 +Pauline,Spartanburg County,South Carolina,0 +Paullina,O'Brien County,Iowa,0 +Pauls Valley,Garvin County,Oklahoma,0 +Paulsboro,Gloucester County,New Jersey,0 +Pauma Valley,San Diego County,California,0 +Paupack,Pike County,Pennsylvania,0 +Pavilion,Genesee County,New York,0 +Pavillion,Fremont County,Wyoming,0 +Pavo,Thomas County,Georgia,0 +Paw Creek,Mecklenburg County,North Carolina,0 +Paw Paw,Lee County,Illinois,0 +Paw Paw,Van Buren County,Michigan,0 +Paw Paw,Hampshire County,West Virginia,0 +Pawcatuck,New London County,Connecticut,0 +Pawhuska,Osage County,Oklahoma,0 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County,Washington,0 +Pea Ridge,Benton County,Arkansas,0 +Peabody,Marion County,Kansas,0 +Peabody,Essex County,Massachusetts,0 +Peace Dale,Washington County,Rhode Island,0 +Peace Valley,Howell County,Missouri,0 +Peach Bottom,Lancaster County,Pennsylvania,0 +Peach Creek,Logan County,West Virginia,0 +Peach Glen,Adams County,Pennsylvania,0 +Peach Orchard,Clay County,Arkansas,0 +Peach Springs,Mohave County,Arizona,0 +Peacham,Caledonia County,Vermont,0 +Peachland,Anson County,North Carolina,0 +Peachtree City,Fayette County,Georgia,0 +Peak,Newberry County,South Carolina,0 +Peaks Island,Cumberland County,Maine,0 +Peapack,Somerset County,New Jersey,0 +Pearblossom,Los Angeles County,California,0 +Pearce,Cochise County,Arizona,0 +Pearcy,Garland County,Arkansas,0 +Pearisburg,Giles County,Virginia,0 +Pearl,Pike County,Illinois,0 +Pearl,Rankin County,Mississippi,0 +Pearl City,Honolulu County,Hawaii,0 +Pearl City,Stephenson County,Illinois,0 +Pearl River,St. Tammany Parish,Louisiana,0 +Pearl 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Knob,Buchanan County,Virginia,0 +Pillager,Cass County,Minnesota,0 +Pillow,Dauphin County,Pennsylvania,0 +Pillsbury,Barnes County,North Dakota,0 +Pilot,Montgomery County,Virginia,0 +Pilot Grove,Lee County,Iowa,0 +Pilot Grove,Cooper County,Missouri,0 +Pilot Hill,El Dorado County,California,0 +Pilot Knob,Iron County,Missouri,0 +Pilot Mound,Boone County,Iowa,0 +Pilot Mountain,Surry County,North Carolina,0 +Pilot Point,Lake and Peninsula Borough,Alaska,0 +Pilot Point,Denton County,Texas,0 +Pilot Rock,Umatilla County,Oregon,0 +Pilot Station,Wade Hampton Census Area,Alaska,0 +Pilottown,Plaquemines Parish,Louisiana,0 +Pima,Graham County,Arizona,0 +Pimento,Vigo County,Indiana,0 +Pinch,Kanawha County,West Virginia,0 +Pinckard,Dale County,Alabama,0 +Pinckney,Livingston County,Michigan,0 +Pinckneyville,Perry County,Illinois,0 +Pinconning,Bay County,Michigan,0 +Pindall,Searcy County,Arkansas,0 +Pine,Gila County,Arizona,0 +Pine,Jefferson County,Colorado,0 +Pine Apple,Wilcox County,Alabama,0 +Pine 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County,Florida,0 +Placitas,Sandoval County,New Mexico,0 +Plain,Sauk County,Wisconsin,0 +Plain City,Madison County,Ohio,0 +Plain Dealing,Bossier Parish,Louisiana,0 +Plainfield,Windham County,Connecticut,0 +Plainfield,Will County,Illinois,0 +Plainfield,,Indiana,0 +Plainfield,Hendricks County,Indiana,0 +Plainfield,Bremer County,Iowa,0 +Plainfield,Hampshire County,Massachusetts,0 +Plainfield,Sullivan County,New Hampshire,0 +Plainfield,Union County,New Jersey,0 +Plainfield,Coshocton County,Ohio,0 +Plainfield,Cumberland County,Pennsylvania,0 +Plainfield,Washington County,Vermont,0 +Plainfield,Waushara County,Wisconsin,0 +Plains,Sumter County,Georgia,0 +Plains,Meade County,Kansas,0 +Plains,Sanders County,Montana,0 +Plains,Yoakum County,Texas,0 +Plainsboro,Middlesex County,New Jersey,0 +Plainview,Yell County,Arkansas,0 +Plainview,Wabasha County,Minnesota,0 +Plainview,Pierce County,Nebraska,0 +Plainview,Nassau County,New York,0 +Plainview,Hale County,Texas,0 +Plainville,Hartford 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County,Illinois,0 +Pleasant Hill,Polk County,Iowa,0 +Pleasant Hill,Sabine Parish,Louisiana,0 +Pleasant Hill,Cass County,Missouri,0 +Pleasant Hill,Northampton County,North Carolina,0 +Pleasant Hill,Miami County,Ohio,0 +Pleasant Hill,Lane County,Oregon,0 +Pleasant Hill,Cumberland County,Tennessee,0 +Pleasant Hope,Polk County,Missouri,0 +Pleasant Lake,Steuben County,Indiana,0 +Pleasant Lake,Jackson County,Michigan,0 +Pleasant Mills,Adams County,Indiana,0 +Pleasant Mount,Wayne County,Pennsylvania,0 +Pleasant Plain,Warren County,Ohio,0 +Pleasant Plains,Independence County,Arkansas,0 +Pleasant Plains,Sangamon County,Illinois,0 +Pleasant Prairie,Kenosha County,Wisconsin,0 +Pleasant Ridge,Oakland County,Michigan,0 +Pleasant Shade,Smith County,Tennessee,0 +Pleasant Unity,Westmoreland County,Pennsylvania,0 +Pleasant Valley,Scott County,Iowa,0 +Pleasant Valley,Dutchess County,New York,0 +Pleasant Valley,Rockingham County,Virginia,0 +Pleasant View,Montezuma County,Colorado,0 +Pleasant View,Cheatham County,Tennessee,0 +Pleasanton,Alameda County,California,0 +Pleasanton,Linn County,Kansas,0 +Pleasanton,Buffalo County,Nebraska,0 +Pleasanton,Atascosa County,Texas,0 +Pleasantville,Marion County,Iowa,0 +Pleasantville,Atlantic County,New Jersey,0 +Pleasantville,Westchester County,New York,0 +Pleasantville,Fairfield County,Ohio,0 +Pleasantville,Venango County,Pennsylvania,0 +Pleasureville,Henry County,Kentucky,0 +Pledger,Matagorda County,Texas,0 +Plentywood,Sheridan County,Montana,0 +Plessis,Jefferson County,New York,0 +Plevna,Reno County,Kansas,0 +Plevna,Knox County,Missouri,0 +Plevna,Fallon County,Montana,0 +Plover,Pocahontas County,Iowa,0 +Plover,Portage County,Wisconsin,0 +Pluckemin,Somerset County,New Jersey,0 +Plum,Fayette County,Texas,0 +Plum Branch,McCormick County,South Carolina,0 +Plum City,Pierce County,Wisconsin,0 +Plumerville,Conway County,Arkansas,0 +Plummer,Benewah County,Idaho,0 +Plummer,Red Lake County,Minnesota,0 +Plummers Landing,Fleming County,Kentucky,0 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County,North Carolina,0 +Point Hope,North Slope Borough,Alaska,0 +Point Lay,North Slope Borough,Alaska,0 +Point Lookout,Taney County,Missouri,0 +Point Lookout,Nassau County,New York,0 +Point Marion,Fayette County,Pennsylvania,0 +Point Mugu Nawc,Ventura County,California,0 +Point Of Rocks,Frederick County,Maryland,0 +Point Of Rocks,Sweetwater County,Wyoming,0 +Point Pleasant,Bucks County,Pennsylvania,0 +Point Pleasant,Mason County,West Virginia,0 +Point Pleasant Beach,Ocean County,New Jersey,0 +Point Reyes Station,Marin County,California,0 +Point Roberts,Whatcom County,Washington,0 +Point Washington,Walton County,Florida,0 +Pointblank,San Jacinto County,Texas,0 +Pointe A La Hache,Plaquemines Parish,Louisiana,0 +Pointe Aux Pins,Mackinac County,Michigan,0 +Points,Hampshire County,West Virginia,0 +Polacca,Navajo County,Arizona,0 +Poland,Owen County,Indiana,0 +Poland,Androscoggin County,Maine,0 +Poland,Herkimer County,New York,0 +Polaris,Beaverhead County,Montana,0 +Polebridge,Flathead County,Montana,0 +Polk,Polk County,Missouri,0 +Polk,Polk County,Nebraska,0 +Polk,Ashland County,Ohio,0 +Polk,Venango County,Pennsylvania,0 +Polk City,Polk County,Florida,0 +Polk City,Polk County,Iowa,0 +Polkton,Anson County,North Carolina,0 +Polkville,Cleveland County,North Carolina,0 +Pollard,Clay County,Arkansas,0 +Pollock,Idaho County,Idaho,0 +Pollock,Grant Parish,Louisiana,0 +Pollock,Sullivan County,Missouri,0 +Pollock,Campbell County,South Dakota,0 +Pollock Pines,El Dorado County,California,0 +Pollocksville,Jones County,North Carolina,0 +Pollok,Angelina County,Texas,0 +Polo,Ogle County,Illinois,0 +Polo,Caldwell County,Missouri,0 +Polson,Lake County,Montana,0 +Polvadera,Socorro County,New Mexico,0 +Pomaria,Newberry County,South Carolina,0 +Pomerene,Cochise County,Arizona,0 +Pomeroy,Calhoun County,Iowa,0 +Pomeroy,Meigs County,Ohio,0 +Pomeroy,Chester County,Pennsylvania,0 +Pomeroy,Garfield County,Washington,0 +Pomfret,Windham County,Connecticut,0 +Pomfret,Charles County,Maryland,0 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County,Arkansas,0 +Poplar Grove,Boone County,Illinois,0 +Poplar Ridge,Cayuga County,New York,0 +Poplarville,Pearl River County,Mississippi,0 +Poquonock,Hartford County,Connecticut,0 +Poquoson,Poquoson city,Virginia,0 +Porcupine,Shannon County,South Dakota,0 +Port Alexander,Petersburg Census Area,Alaska,0 +Port Allegany,McKean County,Pennsylvania,0 +Port Allen,West Baton Rouge Parish,Louisiana,0 +Port Alsworth,Lake and Peninsula Borough,Alaska,0 +Port Angeles,Clallam County,Washington,0 +Port Aransas,Nueces County,Texas,0 +Port Arthur,Jefferson County,Texas,0 +Port Austin,Huron County,Michigan,0 +Port Barre,St. Landry Parish,Louisiana,0 +Port Bolivar,Galveston County,Texas,0 +Port Byron,Rock Island County,Illinois,0 +Port Byron,Cayuga County,New York,0 +Port Carbon,Schuylkill County,Pennsylvania,0 +Port Charlotte,Charlotte County,Florida,0 +Port Chester,Westchester County,New York,0 +Port Clinton,Ottawa County,Ohio,0 +Port Clinton,Schuylkill County,Pennsylvania,0 +Port Clyde,Knox County,Maine,0 +Port Costa,Contra Costa County,California,0 +Port Crane,Broome County,New York,0 +Port Deposit,Cecil County,Maryland,0 +Port Edwards,Wood County,Wisconsin,0 +Port Elizabeth,Cumberland County,New Jersey,0 +Port Ewen,Ulster County,New York,0 +Port Gamble,Kitsap County,Washington,0 +Port Gibson,Claiborne County,Mississippi,0 +Port Gibson,Ontario County,New York,0 +Port Hadlock,Jefferson County,Washington,0 +Port Haywood,Mathews County,Virginia,0 +Port Heiden,Lake and Peninsula Borough,Alaska,0 +Port Henry,Essex County,New York,0 +Port Hope,Huron County,Michigan,0 +Port Hueneme,Ventura County,California,0 +Port Hueneme Cbc Base,Ventura County,California,0 +Port Huron,St. Clair County,Michigan,0 +Port Isabel,Cameron County,Texas,0 +Port Jefferson,Suffolk County,New York,0 +Port Jefferson,Shelby County,Ohio,0 +Port Jefferson Station,Suffolk County,New York,0 +Port Jervis,Orange County,New York,0 +Port Kent,Essex County,New York,0 +Port Lavaca,Calhoun County,Texas,0 +Port Leyden,Lewis County,New York,0 +Port Lions,Kodiak Island Borough,Alaska,0 +Port Ludlow,Jefferson County,Washington,0 +Port Mansfield,Willacy County,Texas,0 +Port Matilda,Centre County,Pennsylvania,0 +Port Monmouth,Monmouth County,New Jersey,0 +Port Murray,Warren County,New Jersey,0 +Port Neches,Jefferson County,Texas,0 +Port Norris,Cumberland County,New Jersey,0 +Port O Connor,Calhoun County,Texas,0 +Port Orange,Volusia County,Florida,0 +Port Orchard,Kitsap County,Washington,0 +Port Orford,Curry County,Oregon,0 +Port Penn,New Castle County,Delaware,0 +Port Reading,Middlesex County,New Jersey,0 +Port Republic,Calvert County,Maryland,0 +Port Republic,Atlantic County,New Jersey,0 +Port Republic,Rockingham County,Virginia,0 +Port Richey,Pasco County,Florida,0 +Port Royal,Henry County,Kentucky,0 +Port Royal,Juniata County,Pennsylvania,0 +Port Royal,Beaufort County,South Carolina,0 +Port Royal,Caroline County,Virginia,0 +Port Saint Joe,Gulf County,Florida,0 +Port Saint Lucie,St. Lucie County,Florida,0 +Port Salerno,Martin County,Florida,0 +Port Sanilac,Sanilac County,Michigan,0 +Port Sulphur,Plaquemines Parish,Louisiana,0 +Port Tobacco,Charles County,Maryland,0 +Port Townsend,Jefferson County,Washington,0 +Port Trevorton,Snyder County,Pennsylvania,0 +Port Washington,Nassau County,New York,0 +Port Washington,Tuscarawas County,Ohio,0 +Port Washington,Ozaukee County,Wisconsin,0 +Port William,Clinton County,Ohio,0 +Port Wing,Bayfield County,Wisconsin,0 +Portage,Porter County,Indiana,0 +Portage,Aroostook County,Maine,0 +Portage,Kalamazoo County,Michigan,0 +Portage,Wood County,Ohio,0 +Portage,Cambria County,Pennsylvania,0 +Portage,Box Elder County,Utah,0 +Portage,Columbia County,Wisconsin,0 +Portage Des Sioux,St. Charles County,Missouri,0 +Portageville,New Madrid County,Missouri,0 +Portageville,Wyoming County,New York,0 +Portal,Bulloch County,Georgia,0 +Portal,Burke County,North Dakota,0 +Portales,Roosevelt County,New Mexico,0 +Porter,Oxford County,Maine,0 +Porter,Yellow Medicine County,Minnesota,0 +Porter,Wagoner County,Oklahoma,0 +Porter,Montgomery County,Texas,0 +Porter Corners,Saratoga County,New York,0 +Porter Ranch,Los Angeles County,California,0 +Porterdale,Newton County,Georgia,0 +Porterfield,Marinette County,Wisconsin,0 +Porters Falls,Wetzel County,West Virginia,0 +Porters Sideling,York County,Pennsylvania,0 +Portersville,Butler County,Pennsylvania,0 +Porterville,Tulare County,California,0 +Porterville,Kemper County,Mississippi,0 +Porthill,Boundary County,Idaho,0 +Portia,Lawrence County,Arkansas,0 +Portis,Osborne County,Kansas,0 +Portland,Ashley County,Arkansas,0 +Portland,Middlesex County,Connecticut,0 +Portland,Jay County,Indiana,0 +Portland,Cumberland County,Maine,0 +Portland,Ionia County,Michigan,0 +Portland,Callaway County,Missouri,0 +Portland,Chautauqua County,New York,0 +Portland,Traill County,North Dakota,0 +Portland,Meigs County,Ohio,0 +Portland,,Oregon,0 +Portland,Clackamas County,Oregon,0 +Portland,Multnomah County,Oregon,0 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Point,Currituck County,North Carolina,0 +Powellsville,Bertie County,North Carolina,0 +Powellton,Fayette County,West Virginia,0 +Powellville,Wicomico County,Maryland,0 +Power,Teton County,Montana,0 +Powers,Menominee County,Michigan,0 +Powers,Coos County,Oregon,0 +Powers Lake,Burke County,North Dakota,0 +Powers Lake,Kenosha County,Wisconsin,0 +Powersite,Taney County,Missouri,0 +Powersville,Putnam County,Missouri,0 +Powhatan,Lawrence County,Arkansas,0 +Powhatan,Natchitoches Parish,Louisiana,0 +Powhatan,Powhatan County,Virginia,0 +Powhatan Point,Belmont County,Ohio,0 +Powhattan,Brown County,Kansas,0 +Pownal,Cumberland County,Maine,0 +Pownal,Bennington County,Vermont,0 +Poy Sippi,Waushara County,Wisconsin,0 +Poyen,Grant County,Arkansas,0 +Poynette,Columbia County,Wisconsin,0 +Poynor,Henderson County,Texas,0 +Poyntelle,Wayne County,Pennsylvania,0 +Prague,Saunders County,Nebraska,0 +Prague,Lincoln County,Oklahoma,0 +Prairie,Clay County,Mississippi,0 +Prairie City,McDonough County,Illinois,0 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County,Kentucky,0 +Preston,Caroline County,Maryland,0 +Preston,Fillmore County,Minnesota,0 +Preston,Kemper County,Mississippi,0 +Preston,Hickory County,Missouri,0 +Preston,Okmulgee County,Oklahoma,0 +Preston,King County,Washington,0 +Preston Hollow,Albany County,New York,0 +Preston Park,Wayne County,Pennsylvania,0 +Prestonsburg,Floyd County,Kentucky,0 +Pretty Prairie,Reno County,Kansas,0 +Prewitt,McKinley County,New Mexico,0 +Price,Queen Anne's County,Maryland,0 +Price,Rusk County,Texas,0 +Price,Carbon County,Utah,0 +Pricedale,Westmoreland County,Pennsylvania,0 +Prichard,Wayne County,West Virginia,0 +Priddy,Mills County,Texas,0 +Pride,East Baton Rouge Parish,Louisiana,0 +Prides Crossing,Essex County,Massachusetts,0 +Priest River,Bonner County,Idaho,0 +Prim,Cleburne County,Arkansas,0 +Primghar,O'Brien County,Iowa,0 +Primm Springs,Williamson County,Tennessee,0 +Primrose,Lee County,Kentucky,0 +Primrose,Boone County,Nebraska,0 +Prince,Fayette County,West Virginia,0 +Prince Frederick,Calvert County,Maryland,0 +Prince George,Prince George County,Virginia,0 +Princess Anne,Somerset County,Maryland,0 +Princeton,Jackson County,Alabama,0 +Princeton,Colusa County,California,0 +Princeton,Latah County,Idaho,0 +Princeton,Bureau County,Illinois,0 +Princeton,Gibson County,Indiana,0 +Princeton,Scott County,Iowa,0 +Princeton,Franklin County,Kansas,0 +Princeton,Caldwell County,Kentucky,0 +Princeton,Bossier Parish,Louisiana,0 +Princeton,Washington County,Maine,0 +Princeton,Worcester County,Massachusetts,0 +Princeton,Mille Lacs County,Minnesota,0 +Princeton,Mercer County,Missouri,0 +Princeton,Mercer County,New Jersey,0 +Princeton,Johnston County,North Carolina,0 +Princeton,Harney County,Oregon,0 +Princeton,Collin County,Texas,0 +Princeton,Mercer County,West Virginia,0 +Princeton,Green Lake County,Wisconsin,0 +Princeton Junction,Mercer County,New Jersey,0 +Princeville,Kauai County,Hawaii,0 +Princeville,Peoria County,Illinois,0 +Princewick,Raleigh County,West Virginia,0 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County,Pennsylvania,0 +Prospect,Giles County,Tennessee,0 +Prospect,Prince Edward County,Virginia,0 +Prospect Harbor,Hancock County,Maine,0 +Prospect Heights,Cook County,Illinois,0 +Prospect Hill,Caswell County,North Carolina,0 +Prospect Park,Delaware County,Pennsylvania,0 +Prosper,Collin County,Texas,0 +Prosperity,Washington County,Pennsylvania,0 +Prosperity,Newberry County,South Carolina,0 +Prosperity,Raleigh County,West Virginia,0 +Prosser,Benton County,Washington,0 +Protection,Comanche County,Kansas,0 +Protem,Taney County,Missouri,0 +Protivin,Howard County,Iowa,0 +Provencal,Natchitoches Parish,Louisiana,0 +Providence,Webster County,Kentucky,0 +Providence,Caswell County,North Carolina,0 +Providence,Providence County,Rhode Island,0 +Providence,Cache County,Utah,0 +Providence Forge,New Kent County,Virginia,0 +Provincetown,Barnstable County,Massachusetts,0 +Provo,Utah County,Utah,0 +Pruden,Claiborne County,Tennessee,0 +Prudence Island,Newport County,Rhode Island,0 +Prudenville,Roscommon County,Michigan,0 +Prudhoe Bay,North Slope Borough,Alaska,0 +Prue,Osage County,Oklahoma,0 +Pryor,Big Horn County,Montana,0 +Pryor,Mayes County,Oklahoma,0 +Puckett,Rankin County,Mississippi,0 +Pueblo,Pueblo County,Colorado,0 +Pueblo Of Acoma,Cibola County,New Mexico,0 +Puerto Real,Fajardo Municipio,Puerto Rico,0 +Pukalani,Maui County,Hawaii,0 +Pukwana,Brule County,South Dakota,0 +Pulaski,Candler County,Georgia,0 +Pulaski,Pulaski County,Illinois,0 +Pulaski,Davis County,Iowa,0 +Pulaski,Smith County,Mississippi,0 +Pulaski,Oswego County,New York,0 +Pulaski,Lawrence County,Pennsylvania,0 +Pulaski,Giles County,Tennessee,0 +Pulaski,Pulaski County,Virginia,0 +Pulaski,Brown County,Wisconsin,0 +Pullman,Allegan County,Michigan,0 +Pullman,Whitman County,Washington,0 +Pullman,Ritchie County,West Virginia,0 +Pulteney,Steuben County,New York,0 +Pultneyville,Wayne County,New York,0 +Pungoteague,Accomack County,Virginia,0 +Punta Gorda,Charlotte County,Florida,0 +Punta Santiago,Humacao Municipio,Puerto Rico,0 +Punxsutawney,Jefferson County,Pennsylvania,0 +Puposky,Beltrami County,Minnesota,0 +Purcell,Jasper County,Missouri,0 +Purcell,McClain County,Oklahoma,0 +Purcellville,Loudoun County,Virginia,0 +Purchase,Westchester County,New York,0 +Purdin,Linn County,Missouri,0 +Purdon,Navarro County,Texas,0 +Purdum,Blaine County,Nebraska,0 +Purdy,Barry County,Missouri,0 +Purdys,Westchester County,New York,0 +Purgitsville,Hampshire County,West Virginia,0 +Purlear,Wilkes County,North Carolina,0 +Purling,Greene County,New York,0 +Purmela,Coryell County,Texas,0 +Pursglove,Monongalia County,West Virginia,0 +Purvis,Lamar County,Mississippi,0 +Puryear,Henry County,Tennessee,0 +Put In Bay,Ottawa County,Ohio,0 +Putnam,Windham County,Connecticut,0 +Putnam,Putnam County,Illinois,0 +Putnam,Dewey County,Oklahoma,0 +Putnam,Callahan County,Texas,0 +Putnam Hall,Putnam County,Florida,0 +Putnam Station,Washington County,New York,0 +Putnam Valley,Putnam County,New York,0 +Putnamville,Putnam County,Indiana,0 +Putney,Dougherty County,Georgia,0 +Putney,Harlan County,Kentucky,0 +Putney,Windham County,Vermont,0 +Puunene,Maui County,Hawaii,0 +Puxico,Stoddard County,Missouri,0 +Puyallup,Pierce County,Washington,0 +Pyatt,Marion County,Arkansas,0 +Pylesville,Harford County,Maryland,0 +Pyote,Ward County,Texas,0 +Pyrites,St. Lawrence County,New York,0 +Quail,Collingsworth County,Texas,0 +Quakake,Schuylkill County,Pennsylvania,0 +Quaker City,Guernsey County,Ohio,0 +Quaker Hill,New London County,Connecticut,0 +Quaker Street,Schenectady County,New York,0 +Quakertown,Hunterdon County,New Jersey,0 +Quakertown,Bucks County,Pennsylvania,0 +Quanah,Hardeman County,Texas,0 +Quantico,Wicomico County,Maryland,0 +Quantico,Prince William County,Virginia,0 +Quapaw,Ottawa County,Oklahoma,0 +Quarryville,Lancaster County,Pennsylvania,0 +Quartzsite,La Paz County,Arizona,0 +Quasqueton,Buchanan County,Iowa,0 +Quay,Quay County,New Mexico,0 +Quebeck,White County,Tennessee,0 +Quebradillas,Quebradillas Municipio,Puerto Rico,0 +Quechee,Windsor County,Vermont,0 +Quecreek,Somerset County,Pennsylvania,0 +Queen,Bedford County,Pennsylvania,0 +Queen Anne,Queen Anne's County,Maryland,0 +Queen City,Schuyler County,Missouri,0 +Queen City,Cass County,Texas,0 +Queen Creek,Maricopa County,Arizona,0 +Queens Village,Queens County,New York,0 +Queensbury,Warren County,New York,0 +Queenstown,Queen Anne's County,Maryland,0 +Quemado,Catron County,New Mexico,0 +Quemado,Maverick County,Texas,0 +Quenemo,Osage County,Kansas,0 +Quentin,Lebanon County,Pennsylvania,0 +Questa,Taos County,New Mexico,0 +Quicksburg,Shenandoah County,Virginia,0 +Quilcene,Jefferson County,Washington,0 +Quimby,Cherokee County,Iowa,0 +Quinault,Grays Harbor County,Washington,0 +Quinby,Accomack County,Virginia,0 +Quincy,Plumas County,California,0 +Quincy,Gadsden County,Florida,0 +Quincy,Adams County,Illinois,0 +Quincy,Owen County,Indiana,0 +Quincy,Lewis County,Kentucky,0 +Quincy,Norfolk County,Massachusetts,0 +Quincy,Branch County,Michigan,0 +Quincy,Hickory County,Missouri,0 +Quincy,Logan County,Ohio,0 +Quincy,Franklin County,Pennsylvania,0 +Quincy,Grant County,Washington,0 +Quinebaug,Windham County,Connecticut,0 +Quinhagak,Bethel Census Area,Alaska,0 +Quinlan,Hunt County,Texas,0 +Quinn,Pennington County,South Dakota,0 +Quinnesec,Dickinson County,Michigan,0 +Quinque,Greene County,Virginia,0 +Quinter,Gove County,Kansas,0 +Quinton,Walker County,Alabama,0 +Quinton,Salem County,New Jersey,0 +Quinton,Pittsburg County,Oklahoma,0 +Quinton,New Kent County,Virginia,0 +Quinwood,Greenbrier County,West Virginia,0 +Quitaque,Briscoe County,Texas,0 +Quitman,Cleburne County,Arkansas,0 +Quitman,Brooks County,Georgia,0 +Quitman,Jackson Parish,Louisiana,0 +Quitman,Clarke County,Mississippi,0 +Quitman,Wood County,Texas,0 +Qulin,Butler County,Missouri,0 +Quogue,Suffolk County,New York,0 +Rabun Gap,Rabun County,Georgia,0 +Raccoon,Pike County,Kentucky,0 +Raceland,Lafourche Parish,Louisiana,0 +Rachel,Marion County,West Virginia,0 +Racine,Mower County,Minnesota,0 +Racine,Newton County,Missouri,0 +Racine,Meigs County,Ohio,0 +Racine,Boone County,West Virginia,0 +Racine,Racine County,Wisconsin,0 +Rackerby,Yuba County,California,0 +Radcliff,Hardin County,Kentucky,0 +Radcliffe,Hardin County,Iowa,0 +Radersburg,Broadwater County,Montana,0 +Radford,Radford City,Virginia,0 +Radford,Radford city,Virginia,0 +Radiant,Madison County,Virginia,0 +Radisson,Sawyer County,Wisconsin,0 +Radium Springs,Dona Ana County,New Mexico,0 +Radnor,Delaware County,Ohio,0 +Radom,Washington County,Illinois,0 +Raeford,Hoke County,North Carolina,0 +Ragan,Harlan County,Nebraska,0 +Ragland,St. Clair County,Alabama,0 +Ragland,Mingo County,West Virginia,0 +Ragley,Beauregard Parish,Louisiana,0 +Ragsdale,Knox County,Indiana,0 +Rahway,Union County,New Jersey,0 +Raiford,Bradford County,Florida,0 +Raiford,Union County,Florida,0 +Rail Road Flat,Calaveras County,California,0 +Railroad,York County,Pennsylvania,0 +Rainbow,Somervell County,Texas,0 +Rainbow City,Etowah County,Alabama,0 +Rainbow Lake,Franklin County,New York,0 +Rainelle,Greenbrier County,West Virginia,0 +Rainier,Columbia County,Oregon,0 +Rainier,Thurston County,Washington,0 +Rains,Marion County,South Carolina,0 +Rainsville,DeKalb County,Alabama,0 +Rainsville,Mora County,New Mexico,0 +Raisin City,Fresno County,California,0 +Rake,Winnebago County,Iowa,0 +Raleigh,Saline County,Illinois,0 +Raleigh,Smith County,Mississippi,0 +Raleigh,Wake County,North Carolina,0 +Raleigh,Grant County,North Dakota,0 +Raleigh,Raleigh County,West Virginia,0 +Ralls,Crosby County,Texas,0 +Ralph,Tuscaloosa County,Alabama,0 +Ralph,Dickinson County,Michigan,0 +Ralph,Harding County,South Dakota,0 +Ralston,Carroll County,Iowa,0 +Ralston,Pawnee County,Oklahoma,0 +Ralston,Lycoming County,Pennsylvania,0 +Ralston,Park County,Wyoming,0 +Ramah,El Paso County,Colorado,0 +Ramah,McKinley County,New Mexico,0 +Ramer,Montgomery County,Alabama,0 +Ramer,McNairy County,Tennessee,0 +Ramey,Clearfield County,Pennsylvania,0 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County,Wisconsin,0 +Randsburg,Kern County,California,0 +Range,Conecuh County,Alabama,0 +Rangeley,Franklin County,Maine,0 +Rangely,Rio Blanco County,Colorado,0 +Ranger,Gordon County,Georgia,0 +Ranger,Eastland County,Texas,0 +Ranger,Lincoln County,West Virginia,0 +Ranier,Koochiching County,Minnesota,0 +Rankin,Vermilion County,Illinois,0 +Rankin,Upton County,Texas,0 +Ransom,LaSalle County,Illinois,0 +Ransom,Ness County,Kansas,0 +Ransom,Pike County,Kentucky,0 +Ransom,Lackawanna County,Pennsylvania,0 +Ransom Canyon,Lubbock County,Texas,0 +Ransomville,Niagara County,New York,0 +Ranson,Jefferson County,West Virginia,0 +Rantoul,Champaign County,Illinois,0 +Rantoul,Franklin County,Kansas,0 +Rapelje,Stillwater County,Montana,0 +Raphine,Rockbridge County,Virginia,0 +Rapid City,Kalkaska County,Michigan,0 +Rapid City,Pennington County,South Dakota,0 +Rapid River,Delta County,Michigan,0 +Rapidan,Culpeper County,Virginia,0 +Rapids City,Rock Island County,Illinois,0 +Rappahannock Academy,Caroline County,Virginia,0 +Raquette Lake,Hamilton County,New York,0 +Rarden,Scioto County,Ohio,0 +Raritan,Henderson County,Illinois,0 +Raritan,Somerset County,New Jersey,0 +Ratcliff,Logan County,Arkansas,0 +Ratcliff,Houston County,Texas,0 +Rathdrum,Kootenai County,Idaho,0 +Ratliff City,Carter County,Oklahoma,0 +Raton,Colfax County,New Mexico,0 +Rattan,Pushmataha County,Oklahoma,0 +Ravalli,Lake County,Montana,0 +Raven,Knott County,Kentucky,0 +Raven,Tazewell County,Virginia,0 +Ravena,Albany County,New York,0 +Ravencliff,Wyoming County,West Virginia,0 +Ravendale,Lassen County,California,0 +Ravenden,Lawrence County,Arkansas,0 +Ravenden Springs,Randolph County,Arkansas,0 +Ravenel,Charleston County,South Carolina,0 +Ravenna,Estill County,Kentucky,0 +Ravenna,Muskegon County,Michigan,0 +Ravenna,Buffalo County,Nebraska,0 +Ravenna,Portage County,Ohio,0 +Ravenna,Fannin County,Texas,0 +Ravensdale,King County,Washington,0 +Ravenswood,Jackson County,West Virginia,0 +Ravenwood,Nodaway County,Missouri,0 +Ravia,Johnston County,Oklahoma,0 +Ravine,Schuylkill County,Pennsylvania,0 +Rawl,Mingo County,West Virginia,0 +Rawlings,Allegany County,Maryland,0 +Rawlings,Brunswick County,Virginia,0 +Rawlins,Carbon County,Wyoming,0 +Rawson,Hancock County,Ohio,0 +Ray,Macomb County,Michigan,0 +Ray,Williams County,North Dakota,0 +Ray,Jackson County,Ohio,0 +Ray Brook,Essex County,New York,0 +Ray City,Berrien County,Georgia,0 +Rayland,Jefferson County,Ohio,0 +Rayle,Wilkes County,Georgia,0 +Raymond,Madera County,California,0 +Raymond,Montgomery County,Illinois,0 +Raymond,Black Hawk County,Iowa,0 +Raymond,Rice County,Kansas,0 +Raymond,Cumberland County,Maine,0 +Raymond,Kandiyohi County,Minnesota,0 +Raymond,Hinds County,Mississippi,0 +Raymond,Sheridan County,Montana,0 +Raymond,Lancaster County,Nebraska,0 +Raymond,Rockingham County,New Hampshire,0 +Raymond,Union County,Ohio,0 +Raymond,Clark County,South Dakota,0 +Raymond,Pacific County,Washington,0 +Raymondville,Texas County,Missouri,0 +Raymondville,St. Lawrence County,New York,0 +Raymondville,Willacy County,Texas,0 +Raymore,Cass County,Missouri,0 +Rayne,Acadia Parish,Louisiana,0 +Raynesford,Judith Basin County,Montana,0 +Raynham,Bristol County,Massachusetts,0 +Raynham Center,Bristol County,Massachusetts,0 +Raysal,McDowell County,West Virginia,0 +Rayville,Richland Parish,Louisiana,0 +Rayville,Ray County,Missouri,0 +Raywick,Marion County,Kentucky,0 +Raywood,Liberty County,Texas,0 +Rea,Andrew County,Missouri,0 +Reader,Wetzel County,West Virginia,0 +Readfield,Kennebec County,Maine,0 +Readfield,Waupaca County,Wisconsin,0 +Reading,Lyon County,Kansas,0 +Reading,Middlesex County,Massachusetts,0 +Reading,Hillsdale County,Michigan,0 +Reading,Nobles County,Minnesota,0 +Reading,Berks County,Pennsylvania,0 +Reading,Windsor County,Vermont,0 +Reading Center,Schuyler County,New York,0 +Readington,Hunterdon County,New Jersey,0 +Readlyn,Bremer County,Iowa,0 +Reads Landing,Wabasha County,Minnesota,0 +Readsboro,Bennington County,Vermont,0 +Readstown,Vernon County,Wisconsin,0 +Readville,Suffolk County,Massachusetts,0 +Readyville,Cannon County,Tennessee,0 +Reagan,Henderson County,Tennessee,0 +Reagan,Falls County,Texas,0 +Realitos,Duval County,Texas,0 +Reamstown,Lancaster County,Pennsylvania,0 +Reardan,Lincoln County,Washington,0 +Reasnor,Jasper County,Iowa,0 +Rebecca,Turner County,Georgia,0 +Rebersburg,Centre County,Pennsylvania,0 +Rebuck,Northumberland County,Pennsylvania,0 +Recluse,Campbell County,Wyoming,0 +Rector,Clay County,Arkansas,0 +Rector,Westmoreland County,Pennsylvania,0 +Rectortown,Fauquier County,Virginia,0 +Red Ash,Tazewell County,Virginia,0 +Red Bank,Monmouth County,New Jersey,0 +Red Banks,Marshall County,Mississippi,0 +Red Bay,Franklin County,Alabama,0 +Red Bluff,Tehama County,California,0 +Red Boiling Springs,Macon County,Tennessee,0 +Red Bud,Randolph County,Illinois,0 +Red Cliff,Eagle County,Colorado,0 +Red Cloud,Webster County,Nebraska,0 +Red Creek,Wayne County,New York,0 +Red Creek,Tucker County,West Virginia,0 +Red Devil,Bethel Census Area,Alaska,0 +Red Feather Lakes,Larimer County,Colorado,0 +Red Hill,Montgomery County,Pennsylvania,0 +Red Hook,Dutchess County,New York,0 +Red House,Charlotte County,Virginia,0 +Red House,Putnam County,West Virginia,0 +Red Jacket,Mingo County,West Virginia,0 +Red Lake Falls,Red Lake County,Minnesota,0 +Red Level,Covington County,Alabama,0 +Red Lion,York County,Pennsylvania,0 +Red Lodge,Carbon County,Montana,0 +Red Mountain,San Bernardino County,California,0 +Red Oak,Fulton County,Georgia,0 +Red Oak,Montgomery County,Iowa,0 +Red Oak,Nash County,North Carolina,0 +Red Oak,Latimer County,Oklahoma,0 +Red Oak,Ellis County,Texas,0 +Red Oak,Charlotte County,Virginia,0 +Red River,Taos County,New Mexico,0 +Red Rock,Pinal County,Arizona,0 +Red Rock,Noble County,Oklahoma,0 +Red Rock,Bastrop County,Texas,0 +Red Springs,Robeson County,North Carolina,0 +Red Valley,Apache County,Arizona,0 +Red Wing,Goodhue County,Minnesota,0 +Redan,Dekalb County,Georgia,0 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County,Missouri,0 +Reedsburg,Sauk County,Wisconsin,0 +Reedsport,Douglas County,Oregon,0 +Reedsville,Meigs County,Ohio,0 +Reedsville,Mifflin County,Pennsylvania,0 +Reedsville,Preston County,West Virginia,0 +Reedsville,Manitowoc County,Wisconsin,0 +Reedville,Northumberland County,Virginia,0 +Reedy,Roane County,West Virginia,0 +Reelsville,Putnam County,Indiana,0 +Reese,Tuscola County,Michigan,0 +Reeseville,Dodge County,Wisconsin,0 +Reesville,Clinton County,Ohio,0 +Reeves,Allen Parish,Louisiana,0 +Reevesville,Dorchester County,South Carolina,0 +Reform,Pickens County,Alabama,0 +Refton,Lancaster County,Pennsylvania,0 +Refugio,Refugio County,Texas,0 +Regan,Burleigh County,North Dakota,0 +Regent,Hettinger County,North Dakota,0 +Regina,Pike County,Kentucky,0 +Regina,Sandoval County,New Mexico,0 +Register,Bulloch County,Georgia,0 +Rego Park,Queens County,New York,0 +Rehobeth,Somerset County,Maryland,0 +Rehoboth,Bristol County,Massachusetts,0 +Rehoboth,McKinley County,New Mexico,0 +Rehoboth Beach,Sussex County,Delaware,0 +Rehrersburg,Berks County,Pennsylvania,0 +Reidsville,Tattnall County,Georgia,0 +Reidsville,Rockingham County,North Carolina,0 +Reidville,Spartanburg County,South Carolina,0 +Reinbeck,Grundy County,Iowa,0 +Reinholds,Lancaster County,Pennsylvania,0 +Reisterstown,Baltimore County,Maryland,0 +Reklaw,Cherokee County,Texas,0 +Reliance,Lyman County,South Dakota,0 +Reliance,Polk County,Tennessee,0 +Reliance,Sweetwater County,Wyoming,0 +Rembert,Sumter County,South Carolina,0 +Rembrandt,Buena Vista County,Iowa,0 +Remer,Cass County,Minnesota,0 +Remington,Jasper County,Indiana,0 +Remington,Fauquier County,Virginia,0 +Remlap,Blount County,Alabama,0 +Remsen,Plymouth County,Iowa,0 +Remsen,Oneida County,New York,0 +Remsenburg,Suffolk County,New York,0 +Remus,Mecosta County,Michigan,0 +Rena Lara,Coahoma County,Mississippi,0 +Renault,Monroe County,Illinois,0 +Renfrew,Butler County,Pennsylvania,0 +Renfro Valley,Rockcastle County,Kentucky,0 +Renick,Randolph County,Missouri,0 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County,California,0 +Ridgecrest,Buncombe County,North Carolina,0 +Ridgedale,Taney County,Missouri,0 +Ridgefield,Fairfield County,Connecticut,0 +Ridgefield,Bergen County,New Jersey,0 +Ridgefield,Clark County,Washington,0 +Ridgefield Park,Bergen County,New Jersey,0 +Ridgeland,Madison County,Mississippi,0 +Ridgeland,Jasper County,South Carolina,0 +Ridgeland,Dunn County,Wisconsin,0 +Ridgeley,Mineral County,West Virginia,0 +Ridgely,Caroline County,Maryland,0 +Ridgely,Lake County,Tennessee,0 +Ridgetop,Robertson County,Tennessee,0 +Ridgeview,Dewey County,South Dakota,0 +Ridgeview,Boone County,West Virginia,0 +Ridgeville,Randolph County,Indiana,0 +Ridgeville,Dorchester County,South Carolina,0 +Ridgeville Corners,Henry County,Ohio,0 +Ridgeway,Winneshiek County,Iowa,0 +Ridgeway,Harrison County,Missouri,0 +Ridgeway,Warren County,North Carolina,0 +Ridgeway,Hardin County,Ohio,0 +Ridgeway,Fairfield County,South Carolina,0 +Ridgeway,Henry County,Virginia,0 +Ridgeway,Berkeley County,West Virginia,0 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County,Ohio,0 +Rio Grande,Rio Grande Municipio,Puerto Rico,0 +Rio Grande City,Starr County,Texas,0 +Rio Hondo,Cameron County,Texas,0 +Rio Linda,Sacramento County,California,0 +Rio Medina,Medina County,Texas,0 +Rio Nido,Sonoma County,California,0 +Rio Oso,Sutter County,California,0 +Rio Rancho,Sandoval County,New Mexico,0 +Rio Rico,Santa Cruz County,Arizona,0 +Rio Verde,Maricopa County,Arizona,0 +Rio Vista,Solano County,California,0 +Rio Vista,Johnson County,Texas,0 +Rion,Fairfield County,South Carolina,0 +Riparius,Warren County,New York,0 +Ripley,Tippah County,Mississippi,0 +Ripley,Chautauqua County,New York,0 +Ripley,Brown County,Ohio,0 +Ripley,Payne County,Oklahoma,0 +Ripley,Lauderdale County,Tennessee,0 +Ripley,Jackson County,West Virginia,0 +Ripon,San Joaquin County,California,0 +Ripon,Fond du Lac County,Wisconsin,0 +Rippey,Greene County,Iowa,0 +Ripplemead,Giles County,Virginia,0 +Rippon,Jefferson County,West Virginia,0 +Ripton,Addison County,Vermont,0 +Ririe,Jefferson County,Idaho,0 +Risco,New Madrid County,Missouri,0 +Rising City,Butler County,Nebraska,0 +Rising Fawn,Dade County,Georgia,0 +Rising Star,Eastland County,Texas,0 +Rising Sun,Ohio County,Indiana,0 +Rising Sun,Cecil County,Maryland,0 +Risingsun,Wood County,Ohio,0 +Rison,Cleveland County,Arkansas,0 +Rittman,Wayne County,Ohio,0 +Ritzville,Adams County,Washington,0 +Riva,Anne Arundel County,Maryland,0 +River,Johnson County,Kentucky,0 +River Edge,Bergen County,New Jersey,0 +River Falls,Covington County,Alabama,0 +River Falls,Pierce County,Wisconsin,0 +River Forest,Cook County,Illinois,0 +River Grove,Cook County,Illinois,0 +River Pines,Amador County,California,0 +River Ranch,Polk County,Florida,0 +River Rouge,Wayne County,Michigan,0 +Riverbank,Stanislaus County,California,0 +Riverdale,Fresno County,California,0 +Riverdale,Clayton County,Georgia,0 +Riverdale,Cook County,Illinois,0 +Riverdale,Prince George's County,Maryland,0 +Riverdale,Gratiot County,Michigan,0 +Riverdale,Buffalo County,Nebraska,0 +Riverdale,Morris County,New Jersey,0 +Riverdale,McLean County,North Dakota,0 +Riverhead,Suffolk County,New York,0 +Riverside,St. Clair County,Alabama,0 +Riverside,Riverside County,California,0 +Riverside,Fairfield County,Connecticut,0 +Riverside,Cook County,Illinois,0 +Riverside,Washington County,Iowa,0 +Riverside,Berrien County,Michigan,0 +Riverside,Platte County,Missouri,0 +Riverside,Burlington County,New Jersey,0 +Riverside,Malheur County,Oregon,0 +Riverside,Northumberland County,Pennsylvania,0 +Riverside,Providence County,Rhode Island,0 +Riverside,Walker County,Texas,0 +Riverside,Box Elder County,Utah,0 +Riverside,Okanogan County,Washington,0 +Riverton,Hartford County,Connecticut,0 +Riverton,Sangamon County,Illinois,0 +Riverton,Fremont County,Iowa,0 +Riverton,Cherokee County,Kansas,0 +Riverton,Franklin County,Nebraska,0 +Riverton,Burlington County,New Jersey,0 +Riverton,Salt Lake County,Utah,0 +Riverton,Pendleton County,West Virginia,0 +Riverton,Fremont County,Wyoming,0 +Rivervale,Poinsett County,Arkansas,0 +Riverview,Hillsborough County,Florida,0 +Riverview,Wayne County,Michigan,0 +Rives,Dunklin County,Missouri,0 +Rives,Obion County,Tennessee,0 +Rives Junction,Jackson County,Michigan,0 +Rivesville,Marion County,West Virginia,0 +Riviera,Kleberg County,Texas,0 +Rixeyville,Culpeper County,Virginia,0 +Rixford,McKean County,Pennsylvania,0 +Roach,Camden County,Missouri,0 +Roachdale,Putnam County,Indiana,0 +Roan Mountain,Carter County,Tennessee,0 +Roann,Wabash County,Indiana,0 +Roanoke,Randolph County,Alabama,0 +Roanoke,Woodford County,Illinois,0 +Roanoke,Huntington County,Indiana,0 +Roanoke,Jefferson Davis Parish,Louisiana,0 +Roanoke,Denton County,Texas,0 +Roanoke,Roanoke City,Virginia,0 +Roanoke,Roanoke County,Virginia,0 +Roanoke,Roanoke city,Virginia,0 +Roanoke Rapids,Halifax County,North Carolina,0 +Roans Prairie,Grimes County,Texas,0 +Roaring Branch,Tioga County,Pennsylvania,0 +Roaring Gap,Alleghany County,North Carolina,0 +Roaring River,Wilkes County,North Carolina,0 +Roaring Spring,Blair County,Pennsylvania,0 +Roaring Springs,Motley County,Texas,0 +Roark,Leslie County,Kentucky,0 +Robards,Henderson County,Kentucky,0 +Robbins,Sutter County,California,0 +Robbins,Cook County,Illinois,0 +Robbins,Moore County,North Carolina,0 +Robbins,Scott County,Tennessee,0 +Robbinston,Washington County,Maine,0 +Robbinsville,Graham County,North Carolina,0 +Robeline,Natchitoches Parish,Louisiana,0 +Robersonville,Martin County,North Carolina,0 +Robert,Tangipahoa Parish,Louisiana,0 +Robert Lee,Coke County,Texas,0 +Roberta,Crawford County,Georgia,0 +Roberts,Jefferson County,Idaho,0 +Roberts,Ford County,Illinois,0 +Roberts,Carbon County,Montana,0 +Roberts,St. Croix County,Wisconsin,0 +Robertsdale,Baldwin County,Alabama,0 +Robertsdale,Huntingdon County,Pennsylvania,0 +Robertson,Uinta County,Wyoming,0 +Robertsville,Franklin County,Missouri,0 +Robertsville,Stark County,Ohio,0 +Robesonia,Berks County,Pennsylvania,0 +Robins,Linn County,Iowa,0 +Robinson,Crawford County,Illinois,0 +Robinson,Brown County,Kansas,0 +Robinson,Kidder County,North Dakota,0 +Robinson,Indiana County,Pennsylvania,0 +Robinson Creek,Pike County,Kentucky,0 +Robinsonville,Tunica County,Mississippi,0 +Robson,Fayette County,West Virginia,0 +Robstown,Nueces County,Texas,0 +Roby,Texas County,Missouri,0 +Roby,Fisher County,Texas,0 +Roca,Lancaster County,Nebraska,0 +Rochdale,Worcester County,Massachusetts,0 +Rochelle,Wilcox County,Georgia,0 +Rochelle,Ogle County,Illinois,0 +Rochelle,McCulloch County,Texas,0 +Rochelle,Madison County,Virginia,0 +Rochelle Park,Bergen County,New Jersey,0 +Rocheport,Boone County,Missouri,0 +Rochert,Becker County,Minnesota,0 +Rochester,Sangamon County,Illinois,0 +Rochester,Fulton County,Indiana,0 +Rochester,Butler County,Kentucky,0 +Rochester,Plymouth County,Massachusetts,0 +Rochester,Oakland County,Michigan,0 +Rochester,Olmsted County,Minnesota,0 +Rochester,Strafford County,New Hampshire,0 +Rochester,Monroe County,New York,50 +Rochester,Beaver County,Pennsylvania,0 +Rochester,Haskell County,Texas,0 +Rochester,Windsor County,Vermont,0 +Rochester,Thurston County,Washington,0 +Rochester,Racine County,Wisconsin,0 +Rochester Mills,Indiana County,Pennsylvania,0 +Rociada,San Miguel County,New Mexico,0 +Rock,Cowley County,Kansas,0 +Rock,Delta County,Michigan,0 +Rock,Mercer County,West Virginia,0 +Rock Camp,Lawrence County,Ohio,0 +Rock Cave,Upshur County,West Virginia,0 +Rock City,Stephenson County,Illinois,0 +Rock City Falls,Saratoga County,New York,0 +Rock Creek,Pine County,Minnesota,0 +Rock Creek,Ashtabula County,Ohio,0 +Rock Creek,Raleigh County,West Virginia,0 +Rock Falls,Whiteside County,Illinois,0 +Rock Falls,Cerro Gordo County,Iowa,0 +Rock Falls,Dunn County,Wisconsin,0 +Rock Glen,Luzerne County,Pennsylvania,0 +Rock Hall,Kent County,Maryland,0 +Rock Hill,Sullivan County,New York,0 +Rock Hill,York County,South Carolina,0 +Rock Island,Rock Island County,Illinois,0 +Rock Island,Warren County,Tennessee,0 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County,Alabama,0 +Rockford,Winnebago County,Illinois,0 +Rockford,Floyd County,Iowa,0 +Rockford,Kent County,Michigan,0 +Rockford,Wright County,Minnesota,0 +Rockford,Mercer County,Ohio,0 +Rockford,Blount County,Tennessee,0 +Rockford,Spokane County,Washington,0 +Rockham,Faulk County,South Dakota,0 +Rockhill Furnace,Huntingdon County,Pennsylvania,0 +Rockholds,Whitley County,Kentucky,0 +Rockhouse,Pike County,Kentucky,0 +Rockingham,Richmond County,North Carolina,0 +Rocklake,Towner County,North Dakota,0 +Rockland,New Castle County,Delaware,0 +Rockland,Power County,Idaho,0 +Rockland,Knox County,Maine,0 +Rockland,Plymouth County,Massachusetts,0 +Rockland,Ontonagon County,Michigan,0 +Rockland,La Crosse County,Wisconsin,0 +Rockledge,Brevard County,Florida,0 +Rockledge,Laurens County,Georgia,0 +Rocklin,Placer County,California,0 +Rockmart,Polk County,Georgia,0 +Rockport,Pike County,Illinois,0 +Rockport,Spencer County,Indiana,0 +Rockport,Ohio County,Kentucky,0 +Rockport,Knox County,Maine,0 +Rockport,Essex County,Massachusetts,0 +Rockport,Aransas County,Texas,0 +Rockport,Skagit County,Washington,0 +Rockport,Wood County,West Virginia,0 +Rocksprings,Edwards County,Texas,0 +Rockton,Winnebago County,Illinois,0 +Rockton,Clearfield County,Pennsylvania,0 +Rockvale,Fremont County,Colorado,0 +Rockvale,Rutherford County,Tennessee,0 +Rockville,Parke County,Indiana,0 +Rockville,Montgomery County,Maryland,0 +Rockville,Stearns County,Minnesota,0 +Rockville,Bates County,Missouri,0 +Rockville,Sherman County,Nebraska,0 +Rockville,Washington County,Rhode Island,0 +Rockville,Washington County,Utah,0 +Rockville,Hanover County,Virginia,0 +Rockville Center,Nassau County,New York,0 +Rockville Centre,Nassau County,New York,0 +Rockwall,Rockwall County,Texas,0 +Rockwell,Cerro Gordo County,Iowa,0 +Rockwell,Rowan County,North Carolina,0 +Rockwell City,Calhoun County,Iowa,0 +Rockwood,Randolph County,Illinois,0 +Rockwood,Somerset County,Maine,0 +Rockwood,Wayne County,Michigan,0 +Rockwood,Somerset County,Pennsylvania,0 +Rockwood,Roane County,Tennessee,0 +Rockwood,Coleman County,Texas,0 +Rocky,Washita County,Oklahoma,0 +Rocky Comfort,McDonald County,Missouri,0 +Rocky Face,Whitfield County,Georgia,0 +Rocky Ford,Otero County,Colorado,0 +Rocky Ford,Screven County,Georgia,0 +Rocky Gap,Bland County,Virginia,0 +Rocky Hill,Hartford County,Connecticut,0 +Rocky Hill,Edmonson County,Kentucky,0 +Rocky Hill,Somerset County,New Jersey,0 +Rocky Mount,Morgan County,Missouri,0 +Rocky Mount,Edgecombe County,North Carolina,0 +Rocky Mount,Nash County,North Carolina,0 +Rocky Mount,Franklin County,Virginia,0 +Rocky Point,Suffolk County,New York,0 +Rocky Point,Pender County,North Carolina,0 +Rocky Ridge,Frederick County,Maryland,0 +Rocky Ridge,Ottawa County,Ohio,0 +Rocky River,Cuyahoga County,Ohio,0 +Rodanthe,Dare County,North Carolina,0 +Rodeo,Contra Costa County,California,0 +Rodeo,Hidalgo County,New Mexico,0 +Roderfield,McDowell County,West Virginia,0 +Rodessa,Caddo Parish,Louisiana,0 +Rodman,Jefferson County,New York,0 +Rodney,Monona County,Iowa,0 +Rodney,Mecosta County,Michigan,0 +Roduco,Gates County,North Carolina,0 +Roe,Monroe County,Arkansas,0 +Roebling,Burlington County,New Jersey,0 +Roebuck,Spartanburg County,South Carolina,0 +Roff,Pontotoc County,Oklahoma,0 +Rogers,Benton County,Arkansas,0 +Rogers,Windham County,Connecticut,0 +Rogers,Wolfe County,Kentucky,0 +Rogers,Hennepin County,Minnesota,0 +Rogers,Colfax County,Nebraska,0 +Rogers,Roosevelt County,New Mexico,0 +Rogers,Barnes County,North Dakota,0 +Rogers,Columbiana County,Ohio,0 +Rogers,Bell County,Texas,0 +Rogers City,Presque Isle County,Michigan,0 +Rogerson,Twin Falls County,Idaho,0 +Rogersville,Lauderdale County,Alabama,0 +Rogersville,Webster County,Missouri,0 +Rogersville,Greene County,Pennsylvania,0 +Rogersville,Hawkins County,Tennessee,0 +Roggen,Weld County,Colorado,0 +Rogue River,Jackson County,Oregon,0 +Rohnert Park,Sonoma County,California,0 +Rohrersville,Washington County,Maryland,0 +Rohwer,Desha County,Arkansas,0 +Roland,Pulaski County,Arkansas,0 +Roland,Story County,Iowa,0 +Roland,Sequoyah County,Oklahoma,0 +Rolesville,Wake County,North Carolina,0 +Rolette,Rolette County,North Dakota,0 +Rolfe,Pocahontas County,Iowa,0 +Roll,Yuma County,Arizona,0 +Rolla,Morton County,Kansas,0 +Rolla,Phelps County,Missouri,0 +Rolla,Rolette County,North Dakota,0 +Rolling Fork,Sharkey County,Mississippi,0 +Rolling Meadows,Cook County,Illinois,0 +Rolling Prairie,LaPorte County,Indiana,0 +Rollingbay,Kitsap County,Washington,0 +Rollingstone,Winona County,Minnesota,0 +Rollins,Lake County,Montana,0 +Rollins Fork,King George County,Virginia,0 +Rollinsford,Strafford County,New Hampshire,0 +Rollinsville,Gilpin County,Colorado,0 +Roma,Starr County,Texas,0 +Romance,White County,Arkansas,0 +Romayor,Liberty County,Texas,0 +Rombauer,Butler County,Missouri,0 +Rome,Floyd County,Georgia,0 +Rome,Newton County,Georgia,0 +Rome,Peoria County,Illinois,0 +Rome,Perry County,Indiana,0 +Rome,Henry County,Iowa,0 +Rome,Sunflower County,Mississippi,0 +Rome,Oneida County,New York,0 +Rome,Ashtabula County,Ohio,0 +Rome,Bradford County,Pennsylvania,0 +Rome City,Noble County,Indiana,0 +Romeo,Conejos County,Colorado,0 +Romeo,Macomb County,Michigan,0 +Romeoville,Will County,Illinois,0 +Romney,Tippecanoe County,Indiana,0 +Romney,Hampshire County,West Virginia,0 +Romulus,Wayne County,Michigan,0 +Romulus,Seneca County,New York,0 +Ronald,Kittitas County,Washington,0 +Ronan,Lake County,Montana,0 +Ronceverte,Greenbrier County,West Virginia,0 +Ronco,Fayette County,Pennsylvania,0 +Ronda,Wilkes County,North Carolina,0 +Ronkonkoma,Suffolk County,New York,0 +Ronks,Lancaster County,Pennsylvania,0 +Roodhouse,Greene County,Illinois,0 +Roopville,Carroll County,Georgia,0 +Roosevelt,Gila County,Arizona,0 +Roosevelt,Roseau County,Minnesota,0 +Roosevelt,Monmouth County,New Jersey,0 +Roosevelt,Nassau County,New York,0 +Roosevelt,Kiowa County,Oklahoma,0 +Roosevelt,Kimble County,Texas,0 +Roosevelt,Duchesne County,Utah,0 +Roosevelt,Klickitat County,Washington,0 +Roosevelt Roads,,Puerto Rico,0 +Rooseveltown,St Lawrence County,New York,0 +Rootstown,Portage County,Ohio,0 +Roper,Washington County,North Carolina,0 +Ropesville,Hockley County,Texas,0 +Rosalia,Butler County,Kansas,0 +Rosalia,Whitman County,Washington,0 +Rosalie,Thurston County,Nebraska,0 +Rosamond,Kern County,California,0 +Rosamond,Christian County,Illinois,0 +Rosanky,Bastrop County,Texas,0 +Rosario,,Puerto Rico,0 +Rosburg,Wahkiakum County,Washington,0 +Roscoe,Winnebago County,Illinois,0 +Roscoe,Stearns County,Minnesota,0 +Roscoe,St. Clair County,Missouri,0 +Roscoe,Carbon County,Montana,0 +Roscoe,Sullivan County,New York,0 +Roscoe,Washington County,Pennsylvania,0 +Roscoe,Edmunds County,South Dakota,0 +Roscoe,Nolan County,Texas,0 +Roscommon,Roscommon County,Michigan,0 +Rose,Wayne County,New York,0 +Rose,Delaware County,Oklahoma,0 +Rose Bud,White County,Arkansas,0 +Rose City,Ogemaw County,Michigan,0 +Rose Creek,Mower County,Minnesota,0 +Rose Hill,Mahaska County,Iowa,0 +Rose Hill,Butler County,Kansas,0 +Rose Hill,Jasper County,Mississippi,0 +Rose Hill,Duplin County,North Carolina,0 +Rose Hill,Lee County,Virginia,0 +Rose Lodge,Lincoln County,Oregon,0 +Roseau,Roseau County,Minnesota,0 +Roseboom,Otsego County,New York,0 +Roseboro,Sampson County,North Carolina,0 +Rosebud,Gasconade County,Missouri,0 +Rosebud,Rosebud County,Montana,0 +Rosebud,Todd County,South Dakota,0 +Rosebud,Falls County,Texas,0 +Roseburg,Douglas County,Oregon,0 +Rosebush,Isabella County,Michigan,0 +Rosedale,Parke County,Indiana,0 +Rosedale,Iberville Parish,Louisiana,0 +Rosedale,Baltimore County,Maryland,0 +Rosedale,Bolivar County,Mississippi,0 +Rosedale,Queens County,New York,0 +Rosedale,Russell County,Virginia,0 +Rosedale,Gilmer County,West Virginia,0 +Roseglen,McLean County,North Dakota,0 +Roseland,Indian River County,Florida,0 +Roseland,Tangipahoa Parish,Louisiana,0 +Roseland,Adams County,Nebraska,0 +Roseland,Essex County,New Jersey,0 +Roseland,Nelson County,Virginia,0 +Roselawn,Newton County,Indiana,0 +Roselle,DuPage County,Illinois,0 +Roselle,Union County,New Jersey,0 +Roselle Park,Union County,New Jersey,0 +Rosemary Beach,Walton County,Florida,0 +Rosemead,Los Angeles County,California,0 +Rosemont,Hunterdon County,New Jersey,0 +Rosemont,Taylor County,West Virginia,0 +Rosemount,Dakota County,Minnesota,0 +Rosenberg,Fort Bend County,Texas,0 +Rosendale,Andrew County,Missouri,0 +Rosendale,Ulster County,New York,0 +Rosendale,Fond du Lac County,Wisconsin,0 +Rosenhayn,Cumberland County,New Jersey,0 +Rosepine,Vernon Parish,Louisiana,0 +Roseville,Placer County,California,0 +Roseville,Warren County,Illinois,0 +Roseville,Macomb County,Michigan,0 +Roseville,Muskingum County,Ohio,0 +Rosewood,Champaign County,Ohio,0 +Rosharon,Brazoria County,Texas,0 +Rosholt,Roberts County,South Dakota,0 +Rosholt,Portage County,Wisconsin,0 +Rosiclare,Hardin County,Illinois,0 +Rosie,Independence County,Arkansas,0 +Rosine,Ohio County,Kentucky,0 +Roslindale,Suffolk County,Massachusetts,0 +Roslyn,Nassau County,New York,0 +Roslyn,Day County,South Dakota,0 +Roslyn,Kittitas County,Washington,0 +Roslyn Heights,Nassau County,New York,0 +Rosman,Transylvania County,North Carolina,0 +Ross,Marin County,California,0 +Ross,Mountrail County,North Dakota,0 +Ross,Butler County,Ohio,0 +Ross,McLennan County,Texas,0 +Rossburg,Darke County,Ohio,0 +Rosser,Kaufman County,Texas,0 +Rossford,Wood County,Ohio,0 +Rossiter,Indiana County,Pennsylvania,0 +Rosston,Nevada County,Arkansas,0 +Rosston,Harper County,Oklahoma,0 +Rosston,Cooke County,Texas,0 +Rossville,Walker County,Georgia,0 +Rossville,Vermilion County,Illinois,0 +Rossville,Clinton County,Indiana,0 +Rossville,Shawnee County,Kansas,0 +Rossville,York County,Pennsylvania,0 +Rossville,Fayette County,Tennessee,0 +Roswell,Fulton County,Georgia,0 +Roswell,Chaves County,New Mexico,0 +Rotan,Fisher County,Texas,0 +Rothbury,Oceana County,Michigan,0 +Rothsay,Wilkin County,Minnesota,0 +Rothschild,Marathon County,Wisconsin,0 +Rothville,Chariton County,Missouri,0 +Rotonda West,Charlotte County,Florida,0 +Rotterdam Junction,Schenectady County,New York,0 +Rougemont,Person County,North Carolina,0 +Rough And Ready,Nevada County,California,0 +Rougon,Pointe Coupee Parish,Louisiana,0 +Roulette,Potter County,Pennsylvania,0 +Round Hill,Loudoun County,Virginia,0 +Round Lake,Lake County,Illinois,0 +Round Lake,Nobles County,Minnesota,0 +Round Lake,Saratoga County,New York,0 +Round Mountain,Shasta County,California,0 +Round Mountain,Nye County,Nevada,0 +Round Mountain,Blanco County,Texas,0 +Round O,Colleton County,South Carolina,0 +Round Pond,Lincoln County,Maine,0 +Round Rock,Apache County,Arizona,0 +Round Rock,Williamson County,Texas,0 +Round Top,Greene County,New York,0 +Round Top,Fayette County,Texas,0 +Roundhead,Hardin County,Ohio,0 +Roundhill,Butler County,Kentucky,0 +Roundup,Musselshell County,Montana,0 +Rouses Point,Clinton County,New York,0 +Rouseville,Venango County,Pennsylvania,0 +Rousseau,Breathitt County,Kentucky,0 +Rouzerville,Franklin County,Pennsylvania,0 +Rover,Yell County,Arkansas,0 +Rowan,Wright County,Iowa,0 +Rowdy,Perry County,Kentucky,0 +Rowe,Franklin County,Massachusetts,0 +Rowe,San Miguel County,New Mexico,0 +Rowe,Buchanan County,Virginia,0 +Rowena,Minnehaha County,South Dakota,0 +Rowena,Runnels County,Texas,0 +Rowesville,Orangeburg County,South Carolina,0 +Rowland,Robeson County,North Carolina,0 +Rowland,Pike County,Pennsylvania,0 +Rowland Heights,Los Angeles County,California,0 +Rowlesburg,Preston County,West Virginia,0 +Rowlett,Dallas County,Texas,0 +Rowley,Buchanan County,Iowa,0 +Rowley,Essex County,Massachusetts,0 +Roxana,Madison County,Illinois,0 +Roxana,Letcher County,Kentucky,0 +Roxboro,Person County,North Carolina,0 +Roxbury,Litchfield County,Connecticut,0 +Roxbury,McPherson County,Kansas,0 +Roxbury,Oxford County,Maine,0 +Roxbury,Suffolk County,Massachusetts,0 +Roxbury,Delaware County,New York,0 +Roxbury,Franklin County,Pennsylvania,0 +Roxbury,Washington County,Vermont,0 +Roxbury Crossing,Suffolk County,Massachusetts,0 +Roxie,Franklin County,Mississippi,0 +Roxobel,Bertie County,North Carolina,0 +Roxton,Lamar County,Texas,0 +Roy,Fergus County,Montana,0 +Roy,Harding County,New Mexico,0 +Roy,Weber County,Utah,0 +Roy,Pierce County,Washington,0 +Royal,Garland County,Arkansas,0 +Royal,Champaign County,Illinois,0 +Royal,Clay County,Iowa,0 +Royal,Antelope County,Nebraska,0 +Royal Center,Cass County,Indiana,0 +Royal City,Grant County,Washington,0 +Royal Oak,Talbot County,Maryland,0 +Royal Oak,Oakland County,Michigan,0 +Royal Palm Beach,Palm Beach County,Florida,0 +Royalston,Worcester County,Massachusetts,0 +Royalton,Franklin County,Illinois,0 +Royalton,Magoffin County,Kentucky,0 +Royalton,Morrison County,Minnesota,0 +Royersford,Montgomery County,Pennsylvania,0 +Royse City,Rockwall County,Texas,0 +Royston,Franklin County,Georgia,0 +Rozel,Pawnee County,Kansas,0 +Rozet,Campbell County,Wyoming,0 +Rubicon,Dodge County,Wisconsin,0 +Ruby,Yukon-Koyukuk Census Area,Alaska,0 +Ruby,Rapides Parish,Louisiana,0 +Ruby,Ulster County,New York,0 +Ruby,Chesterfield County,South Carolina,0 +Ruby,Stafford County,Virginia,0 +Ruby Valley,Elko County,Nevada,0 +Ruckersville,Greene County,Virginia,0 +Rudd,Floyd County,Iowa,0 +Rudolph,Wood County,Ohio,0 +Rudolph,Wood County,Wisconsin,0 +Rudy,Crawford County,Arkansas,0 +Rudyard,Chippewa County,Michigan,0 +Rudyard,Hill County,Montana,0 +Rueter,Taney County,Missouri,0 +Rufe,McCurtain County,Oklahoma,0 +Ruffin,Rockingham County,North Carolina,0 +Ruffin,Colleton County,South Carolina,0 +Ruffs Dale,Westmoreland County,Pennsylvania,0 +Rufus,Sherman County,Oregon,0 +Rugby,Pierce County,North Dakota,0 +Rugby,Morgan County,Tennessee,0 +Ruidoso,Lincoln County,New Mexico,0 +Ruidoso Downs,Lincoln County,New Mexico,0 +Rule,Haskell County,Texas,0 +Ruleville,Sunflower County,Mississippi,0 +Rulo,Richardson County,Nebraska,0 +Rumely,Alger County,Michigan,0 +Rumford,Oxford County,Maine,0 +Rumford,Providence County,Rhode Island,0 +Rumney,Grafton County,New Hampshire,0 +Rumsey,Yolo County,California,0 +Rumsey,McLean County,Kentucky,0 +Rumson,Monmouth County,New Jersey,0 +Runge,Karnes County,Texas,0 +Runnells,Polk County,Iowa,0 +Runnemede,Camden County,New Jersey,0 +Running Springs,San Bernardino County,California,0 +Rupert,Taylor County,Georgia,0 +Rupert,Minidoka County,Idaho,0 +Rupert,Bennington County,Vermont,0 +Rupert,Greenbrier County,West Virginia,0 +Rural Hall,Forsyth County,North Carolina,0 +Rural Retreat,Wythe County,Virginia,0 +Rural Ridge,Allegheny County,Pennsylvania,0 +Rural Valley,Armstrong County,Pennsylvania,0 +Rush,El Paso County,Colorado,0 +Rush,Boyd County,Kentucky,0 +Rush,Monroe County,New York,0 +Rush Center,Rush County,Kansas,0 +Rush City,Chisago County,Minnesota,0 +Rush Hill,Audrain County,Missouri,0 +Rush Springs,Grady County,Oklahoma,0 +Rush Valley,Tooele County,Utah,0 +Rushford,Fillmore County,Minnesota,0 +Rushford,Allegany County,New York,0 +Rushland,Bucks County,Pennsylvania,0 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County,Kentucky,0 +Russellville,Cole County,Missouri,0 +Russellville,Brown County,Ohio,0 +Russellville,Berkeley County,South Carolina,0 +Russellville,Hamblen County,Tennessee,0 +Russia,Shelby County,Ohio,0 +Russian Mission,Wade Hampton Census Area,Alaska,0 +Russiaville,Howard County,Indiana,0 +Rustburg,Campbell County,Virginia,0 +Ruston,Lincoln Parish,Louisiana,0 +Ruth,Huron County,Michigan,0 +Ruth,Lincoln County,Mississippi,0 +Ruth,White Pine County,Nevada,0 +Ruther Glen,Caroline County,Virginia,0 +Rutherford,Napa County,California,0 +Rutherford,Bergen County,New Jersey,0 +Rutherford,Gibson County,Tennessee,0 +Rutherford College,Burke County,North Carolina,0 +Rutherfordton,Rutherford County,North Carolina,0 +Ruthton,Pipestone County,Minnesota,0 +Ruthven,Palo Alto County,Iowa,0 +Ruthville,Charles City,Virginia,0 +Rutland,LaSalle County,Illinois,0 +Rutland,Humboldt County,Iowa,0 +Rutland,Worcester County,Massachusetts,0 +Rutland,Sargent County,North Dakota,0 +Rutland,Meigs County,Ohio,0 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County,Maryland,0 +Sabin,Clay County,Minnesota,0 +Sabina,Clinton County,Ohio,0 +Sabinal,Uvalde County,Texas,0 +Sabine,Wyoming County,West Virginia,0 +Sabine Pass,Jefferson County,Texas,0 +Sabinsville,Tioga County,Pennsylvania,0 +Sabula,Jackson County,Iowa,0 +Sac City,Sac County,Iowa,0 +Sacaton,Pinal County,Arizona,0 +Sachse,Dallas County,Texas,0 +Sackets Harbor,Jefferson County,New York,0 +Saco,York County,Maine,0 +Saco,Phillips County,Montana,0 +Sacramento,Sacramento County,California,0 +Sacramento,McLean County,Kentucky,0 +Sacramento,Otero County,New Mexico,0 +Sacramento,Schuylkill County,Pennsylvania,0 +Sacred Heart,Renville County,Minnesota,0 +Sacul,Nacogdoches County,Texas,0 +Saddle Brook,Bergen County,New Jersey,0 +Saddle River,Bergen County,New Jersey,0 +Saddlestring,Johnson County,Wyoming,0 +Sadieville,Scott County,Kentucky,0 +Sadler,Grayson County,Texas,0 +Sadorus,Champaign County,Illinois,0 +Sadsburyville,Chester County,Pennsylvania,0 +Saegertown,Crawford County,Pennsylvania,0 +Safety Harbor,Pinellas County,Florida,0 +Saffell,Lawrence County,Arkansas,0 +Safford,Dallas County,Alabama,0 +Safford,Graham County,Arizona,0 +Sag Harbor,Suffolk County,New York,0 +Sagamore,Barnstable County,Massachusetts,0 +Sagamore,Armstrong County,Pennsylvania,0 +Sagamore Beach,Barnstable County,Massachusetts,0 +Sagaponack,Suffolk County,New York,0 +Sage,Izard County,Arkansas,0 +Saginaw,Shelby County,Alabama,0 +Saginaw,Saginaw County,Michigan,0 +Saginaw,St. Louis County,Minnesota,0 +Saginaw,Newton County,Missouri,0 +Sagle,Bonner County,Idaho,0 +Sagola,Dickinson County,Michigan,0 +Saguache,Saguache County,Colorado,0 +Sahuarita,Pima County,Arizona,0 +Sailor Springs,Clay County,Illinois,0 +Saint Agatha,Aroostook County,Maine,0 +Saint Albans,Somerset County,Maine,0 +Saint Albans,Franklin County,Missouri,0 +Saint Albans,Queens County,New York,0 +Saint Albans,Franklin County,Vermont,0 +Saint Albans,Kanawha County,West Virginia,0 +Saint Albans Bay,Franklin County,Vermont,0 +Saint Amant,Ascension Parish,Louisiana,0 +Saint Ann,St. Louis County,Missouri,0 +Saint Anne,Kankakee County,Illinois,0 +Saint Ansgar,Mitchell County,Iowa,0 +Saint Anthony,Fremont County,Idaho,0 +Saint Anthony,Dubois County,Indiana,0 +Saint Anthony,Marshall County,Iowa,0 +Saint Anthony,Morton County,North Dakota,0 +Saint Augustine,St. Johns County,Florida,0 +Saint Augustine,Knox County,Illinois,0 +Saint Benedict,St. Tammany Parish,Louisiana,0 +Saint Benedict,Marion County,Oregon,0 +Saint Benedict,Cambria County,Pennsylvania,0 +Saint Bernard,St. Bernard Parish,Louisiana,0 +Saint Bernice,Vermillion County,Indiana,0 +Saint Bonaventure,Cattaraugus County,New York,0 +Saint Boniface,Cambria County,Pennsylvania,0 +Saint Bonifacius,Hennepin County,Minnesota,0 +Saint Catharine,Washington County,Kentucky,0 +Saint Charles,Arkansas County,Arkansas,0 +Saint Charles,Bear Lake County,Idaho,0 +Saint Charles,Kane County,Illinois,0 +Saint Charles,Madison County,Iowa,0 +Saint Charles,Hopkins County,Kentucky,0 +Saint Charles,Saginaw County,Michigan,0 +Saint Charles,Winona County,Minnesota,0 +Saint Charles,St. Charles County,Missouri,0 +Saint Charles,Gregory County,South Dakota,0 +Saint Charles,Lee County,Virginia,0 +Saint Clair,St. Clair County,Michigan,0 +Saint Clair,Blue Earth County,Minnesota,0 +Saint Clair,Franklin County,Missouri,0 +Saint Clair,Schuylkill County,Pennsylvania,0 +Saint Clair Shores,Macomb County,Michigan,0 +Saint Clairsville,Belmont County,Ohio,0 +Saint Cloud,Osceola County,Florida,0 +Saint Cloud,Sherburne County,Minnesota,0 +Saint Cloud,Stearns County,Minnesota,0 +Saint Cloud,Fond du Lac County,Wisconsin,0 +Saint Croix,Perry County,Indiana,0 +Saint Croix Falls,Polk County,Wisconsin,0 +Saint David,Cochise County,Arizona,0 +Saint David,Fulton County,Illinois,0 +Saint David,Aroostook County,Maine,0 +Saint Donatus,Jackson County,Iowa,0 +Saint Edward,Boone County,Nebraska,0 +Saint Elizabeth,Miller County,Missouri,0 +Saint Elmo,Mobile County,Alabama,0 +Saint Elmo,Fayette County,Illinois,0 +Saint Francis,Clay County,Arkansas,0 +Saint Francis,Cheyenne County,Kansas,0 +Saint Francis,Marion County,Kentucky,0 +Saint Francis,Aroostook County,Maine,0 +Saint Francis,Anoka County,Minnesota,0 +Saint Francis,Todd County,South Dakota,0 +Saint Francis,Milwaukee County,Wisconsin,0 +Saint Francisville,Lawrence County,Illinois,0 +Saint Francisville,West Feliciana Parish,Louisiana,0 +Saint Gabriel,Iberville Parish,Louisiana,0 +Saint George,Charlton County,Georgia,0 +Saint George,Pottawatomie County,Kansas,0 +Saint George,Dorchester County,South Carolina,0 +Saint George,Washington County,Utah,0 +Saint George Island,Aleutians West Census Area,Alaska,0 +Saint Georges,New Castle County,Delaware,0 +Saint Germain,Vilas County,Wisconsin,0 +Saint Hedwig,Bexar County,Texas,0 +Saint Helen,Roscommon County,Michigan,0 +Saint Helena,Napa County,California,0 +Saint Helena,Cedar County,Nebraska,0 +Saint Helena Island,Beaufort County,South Carolina,0 +Saint Helens,Lee County,Kentucky,0 +Saint Helens,Columbia County,Oregon,0 +Saint Henry,Mercer County,Ohio,0 +Saint Hilaire,Pennington County,Minnesota,0 +Saint Ignace,Mackinac County,Michigan,0 +Saint Ignatius,Lake County,Montana,0 +Saint Inigoes,St. Mary's County,Maryland,0 +Saint Jacob,Madison County,Illinois,0 +Saint James,St. James Parish,Louisiana,0 +Saint James,Washington County,Maryland,0 +Saint James,Watonwan County,Minnesota,0 +Saint James,Phelps County,Missouri,0 +Saint James,Suffolk County,New York,0 +Saint James City,Lee County,Florida,0 +Saint Jo,Montague County,Texas,0 +Saint Joe,Searcy County,Arkansas,0 +Saint Joe,DeKalb County,Indiana,0 +Saint John,Lake County,Indiana,0 +Saint John,Stafford County,Kansas,0 +Saint John,Rolette County,North Dakota,0 +Saint John,Whitman County,Washington,0 +Saint Johns,Apache County,Arizona,0 +Saint Johns,St. Johns County,Florida,0 +Saint Johns,Clinton County,Michigan,0 +Saint Johns,Auglaize County,Ohio,0 +Saint Johns,Luzerne County,Pennsylvania,0 +Saint Johnsbury,Caledonia County,Vermont,0 +Saint Johnsbury Center,Caledonia County,Vermont,0 +Saint Johnsville,Montgomery County,New York,0 +Saint Joseph,Champaign County,Illinois,0 +Saint Joseph,Tensas Parish,Louisiana,0 +Saint Joseph,Berrien County,Michigan,0 +Saint Joseph,Stearns County,Minnesota,0 +Saint Joseph,Buchanan County,Missouri,0 +Saint Joseph,Lawrence County,Tennessee,0 +Saint Just,San Juan,Puerto Rico,0 +Saint Landry,Evangeline Parish,Louisiana,0 +Saint Lawrence,Hand County,South Dakota,0 +Saint Leo,Pasco County,Florida,0 +Saint Leonard,Calvert County,Maryland,0 +Saint Libory,St. Clair County,Illinois,0 +Saint Libory,Howard County,Nebraska,0 +Saint Louis,Gratiot County,Michigan,0 +Saint Louis,St Louis County,Missouri,0 +Saint Louis,St. Louis City,Missouri,0 +Saint Louis,St. Louis County,Missouri,0 +Saint Louis,St. Louis city,Missouri,0 +Saint Louis,Pottawatomie County,Oklahoma,0 +Saint Louisville,Licking County,Ohio,0 +Saint Lucas,Fayette County,Iowa,0 +Saint Marie,Valley County,Montana,0 +Saint Maries,Benewah County,Idaho,0 +Saint Marks,Wakulla County,Florida,0 +Saint Martin,Stearns County,Minnesota,0 +Saint Martinville,St. Martin Parish,Louisiana,0 +Saint Mary,Marion County,Kentucky,0 +Saint Mary,Ste. Genevieve County,Missouri,0 +Saint Mary Of The Woods,Vigo County,Indiana,0 +Saint Marys,Wade Hampton Census Area,Alaska,0 +Saint Marys,Camden County,Georgia,0 +Saint Marys,Warren County,Iowa,0 +Saint Marys,Pottawatomie County,Kansas,0 +Saint Marys,Auglaize County,Ohio,0 +Saint Marys,Elk County,Pennsylvania,0 +Saint Marys,Pleasants County,West Virginia,0 +Saint Marys City,St. Mary's County,Maryland,0 +Saint Matthews,Calhoun County,South Carolina,0 +Saint Maurice,Winn Parish,Louisiana,0 +Saint Meinrad,Spencer County,Indiana,0 +Saint Michael,Nome Census Area,Alaska,0 +Saint Michael,Wright County,Minnesota,0 +Saint Michael,Benson County,North Dakota,0 +Saint Michael,Cambria County,Pennsylvania,0 +Saint Michaels,Apache County,Arizona,0 +Saint Michaels,Talbot County,Maryland,0 +Saint Nazianz,Manitowoc County,Wisconsin,0 +Saint Olaf,Clayton County,Iowa,0 +Saint Onge,Lawrence County,South Dakota,0 +Saint Paris,Champaign County,Ohio,0 +Saint Patrick,Clark County,Missouri,0 +Saint Paul,Madison County,Arkansas,0 +Saint Paul,Decatur County,Indiana,0 +Saint Paul,Lee County,Iowa,0 +Saint Paul,Neosho County,Kansas,0 +Saint Paul,Dakota County,Minnesota,0 +Saint Paul,Hennepin County,Minnesota,0 +Saint Paul,Ramsey County,Minnesota,50 +Saint Paul,Washington County,Minnesota,0 +Saint Paul,Howard County,Nebraska,0 +Saint Paul,Marion County,Oregon,0 +Saint Paul,Wise County,Virginia,0 +Saint Paul Island,Aleutians West Census Area,Alaska,0 +Saint Paul Park,Washington County,Minnesota,0 +Saint Pauls,Bladen County,North Carolina,0 +Saint Peter,Fayette County,Illinois,0 +Saint Peter,Nicollet County,Minnesota,0 +Saint Peters,St. Charles County,Missouri,0 +Saint Peters,Chester County,Pennsylvania,0 +Saint Petersburg,Pinellas County,Florida,0 +Saint Petersburg,Clarion County,Pennsylvania,0 +Saint Regis,Mineral County,Montana,0 +Saint Regis Falls,Franklin County,New York,0 +Saint Robert,Pulaski County,Missouri,0 +Saint Rose,St. Charles Parish,Louisiana,0 +Saint Simons Island,Glynn County,Georgia,0 +Saint Stephen,Stearns County,Minnesota,0 +Saint Stephen,Berkeley County,South Carolina,0 +Saint Stephens,Washington County,Alabama,0 +Saint Stephens,Fremont County,Wyoming,0 +Saint Stephens Church,King and Queen County,Virginia,0 +Saint Thomas,Cole County,Missouri,0 +Saint Thomas,Pembina County,North Dakota,0 +Saint Thomas,Franklin County,Pennsylvania,0 +Saint Vincent,Kittson County,Minnesota,0 +Saint Vrain,Curry County,New Mexico,0 +Saint Xavier,Big Horn County,Montana,0 +Sainte Genevieve,Ste. Genevieve County,Missouri,0 +Sainte Marie,Jasper County,Illinois,0 +Salado,Independence County,Arkansas,0 +Salado,Bell County,Texas,0 +Salamanca,Cattaraugus County,New York,0 +Salamonia,Jay County,Indiana,0 +Salcha,Fairbanks North Star Borough,Alaska,0 +Sale City,Mitchell County,Georgia,0 +Sale Creek,Hamilton County,Tennessee,0 +Salem,Lee County,Alabama,0 +Salem,Fulton County,Arkansas,0 +Salem,New London County,Connecticut,0 +Salem,Taylor County,Florida,0 +Salem,Marion County,Illinois,0 +Salem,Washington County,Indiana,0 +Salem,Henry County,Iowa,0 +Salem,Livingston County,Kentucky,0 +Salem,Essex County,Massachusetts,0 +Salem,Washtenaw County,Michigan,0 +Salem,Dent County,Missouri,0 +Salem,Richardson County,Nebraska,0 +Salem,Rockingham County,New Hampshire,0 +Salem,Salem County,New Jersey,0 +Salem,Do�a Ana County,New Mexico,0 +Salem,Washington County,New York,0 +Salem,Columbiana County,Ohio,0 +Salem,Marion County,Oregon,0 +Salem,Polk County,Oregon,0 +Salem,Oconee County,South Carolina,0 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Carolina,0 +Salisbury,Somerset County,Pennsylvania,0 +Salisbury,Addison County,Vermont,0 +Salisbury Center,Herkimer County,New York,0 +Salisbury Mills,Orange County,New York,0 +Salix,Woodbury County,Iowa,0 +Salix,Cambria County,Pennsylvania,0 +Salkum,Lewis County,Washington,0 +Salley,Aiken County,South Carolina,0 +Sallis,Attala County,Mississippi,0 +Sallisaw,Sequoyah County,Oklahoma,0 +Salmon,Lemhi County,Idaho,0 +Salol,Roseau County,Minnesota,0 +Salome,La Paz County,Arizona,0 +Salona,Clinton County,Pennsylvania,0 +Salsbury Cove,Hancock County,Maine,0 +Salt Flat,Hudspeth County,Texas,0 +Salt Lake City,,Utah,0 +Salt Lake City,Salt Lake County,Utah,0 +Salt Lick,Bath County,Kentucky,0 +Salt Point,Dutchess County,New York,0 +Salt Rock,Cabell County,West Virginia,0 +Salter Path,Carteret County,North Carolina,0 +Salters,Williamsburg County,South Carolina,0 +Saltese,Mineral County,Montana,0 +Saltillo,Lee County,Mississippi,0 +Saltillo,Huntingdon County,Pennsylvania,0 +Saltillo,Hardin County,Tennessee,0 +Saltillo,Hopkins County,Texas,0 +Salton City,Imperial County,California,0 +Saltsburg,Indiana County,Pennsylvania,0 +Saltville,Smyth County,Virginia,0 +Saluda,Polk County,North Carolina,0 +Saluda,Saluda County,South Carolina,0 +Saluda,Middlesex County,Virginia,0 +Salvisa,Mercer County,Kentucky,0 +Salvo,Dare County,North Carolina,0 +Salyer,Trinity County,California,0 +Salyersville,Magoffin County,Kentucky,0 +Sam Norwood,Collingsworth County,Texas,0 +Samantha,Tuscaloosa County,Alabama,0 +Samaria,Monroe County,Michigan,0 +Samburg,Obion County,Tennessee,0 +Sammamish,King County,Washington,0 +Samoa,Humboldt County,California,0 +Samson,Geneva County,Alabama,0 +San Acacia,Socorro County,New Mexico,0 +San Andreas,Calaveras County,California,0 +San Angelo,Tom Green County,Texas,50 +San Anselmo,Marin County,California,0 +San Antonio,Pasco County,Florida,0 +San Antonio,Socorro County,New Mexico,0 +San Antonio,Aguadilla Municipio,Puerto Rico,0 +San Antonio,Bexar County,Texas,0 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County,California,0 +San Joaquin,Fresno County,California,0 +San Jon,Quay County,New Mexico,0 +San Jose,Santa Clara County,California,0 +San Jose,Mason County,Illinois,0 +San Jose,San Miguel County,New Mexico,0 +San Juan,,Puerto Rico,0 +San Juan,San Juan,Puerto Rico,0 +San Juan,San Juan Municipio,Puerto Rico,0 +San Juan,Hidalgo County,Texas,0 +San Juan Bautista,San Benito County,California,0 +San Juan Capistrano,Orange County,California,0 +San Leandro,Alameda County,California,0 +San Lorenzo,Alameda County,California,0 +San Lorenzo,San Lorenzo Municipio,Puerto Rico,0 +San Lucas,Monterey County,California,0 +San Luis,Yuma County,Arizona,0 +San Luis,Costilla County,Colorado,0 +San Luis Obispo,San Luis Obispo County,California,0 +San Luis Rey,San Diego County,California,0 +San Manuel,Pinal County,Arizona,0 +San Marcos,San Diego County,California,0 +San Marcos,Hays County,Texas,0 +San Marino,Los Angeles County,California,0 +San Martin,Santa Clara County,California,0 +San Mateo,San Mateo County,California,0 +San Mateo,Putnam County,Florida,0 +San Miguel,San Luis Obispo County,California,0 +San Miguel,Dona Ana County,New Mexico,0 +San Pablo,Contra Costa County,California,0 +San Pablo,Costilla County,Colorado,0 +San Patricio,Lincoln County,New Mexico,0 +San Pedro,Los Angeles County,California,0 +San Perlita,Willacy County,Texas,0 +San Pierre,Starke County,Indiana,0 +San Quentin,Marin County,California,0 +San Rafael,Marin County,California,0 +San Rafael,Cibola County,New Mexico,0 +San Ramon,Contra Costa County,California,0 +San Saba,San Saba County,Texas,0 +San Sebastian,San Sebastian Municipio,Puerto Rico,0 +San Simeon,San Luis Obispo County,California,0 +San Simon,Cochise County,Arizona,0 +San Tan Valley,Pinal County,Arizona,0 +San Ygnacio,Zapata County,Texas,0 +San Ysidro,San Diego County,California,0 +San Ysidro,Sandoval County,New Mexico,0 +Sanborn,O'Brien County,Iowa,0 +Sanborn,Redwood County,Minnesota,0 +Sanborn,Niagara County,New York,0 +Sanborn,Barnes County,North Dakota,0 +Sanbornton,Belknap County,New Hampshire,0 +Sanbornville,Carroll County,New Hampshire,0 +Sand Coulee,Cascade County,Montana,0 +Sand Creek,Lenawee County,Michigan,0 +Sand Creek,Dunn County,Wisconsin,0 +Sand Fork,Gilmer County,West Virginia,0 +Sand Lake,Kent County,Michigan,0 +Sand Lake,Rensselaer County,New York,0 +Sand Point,Aleutians East Borough,Alaska,0 +Sand Springs,Garfield County,Montana,0 +Sand Springs,Tulsa County,Oklahoma,0 +Sandborn,Knox County,Indiana,0 +Sanders,Apache County,Arizona,0 +Sanders,Carroll County,Kentucky,0 +Sanders,Treasure County,Montana,0 +Sanderson,Baker County,Florida,0 +Sanderson,Terrell County,Texas,0 +Sandersville,Washington County,Georgia,0 +Sandersville,Jones County,Mississippi,0 +Sandgap,Jackson County,Kentucky,0 +Sandhill,Rankin County,Mississippi,0 +Sandia,Jim Wells County,Texas,0 +Sandia Park,Bernalillo County,New Mexico,0 +Sandisfield,Berkshire County,Massachusetts,0 +Sandoval,Marion County,Illinois,0 +Sandown,Rockingham County,New Hampshire,0 +Sandpoint,Bonner County,Idaho,0 +Sandston,Henrico County,Virginia,0 +Sandstone,Pine County,Minnesota,0 +Sandstone,Summers County,West Virginia,0 +Sandusky,Sanilac County,Michigan,0 +Sandusky,Cattaraugus County,New York,0 +Sandusky,Erie County,Ohio,0 +Sandwich,DeKalb County,Illinois,0 +Sandwich,Barnstable County,Massachusetts,0 +Sandy,Clackamas County,Oregon,0 +Sandy,Salt Lake County,Utah,0 +Sandy Creek,Oswego County,New York,0 +Sandy Hook,Fairfield County,Connecticut,0 +Sandy Hook,Elliott County,Kentucky,0 +Sandy Hook,Marion County,Mississippi,0 +Sandy Hook,Goochland County,Virginia,0 +Sandy Lake,Mercer County,Pennsylvania,0 +Sandy Level,Pittsylvania County,Virginia,0 +Sandy Point,Waldo County,Maine,0 +Sandy Point,Westmoreland County,Virginia,0 +Sandy Ridge,Stokes County,North Carolina,0 +Sandy Ridge,Centre County,Pennsylvania,0 +Sandy Spring,Montgomery County,Maryland,0 +Sandy Springs,Anderson County,South Carolina,0 +Sandyville,Tuscarawas County,Ohio,0 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County,Missouri,0 +Santa Fe,Santa Fe County,New Mexico,0 +Santa Fe,Maury County,Tennessee,0 +Santa Fe,Galveston County,Texas,0 +Santa Fe Springs,Los Angeles County,California,0 +Santa Isabel,Santa Isabel Municipio,Puerto Rico,0 +Santa Margarita,San Luis Obispo County,California,0 +Santa Maria,Santa Barbara County,California,0 +Santa Maria,Cameron County,Texas,0 +Santa Monica,Los Angeles County,California,0 +Santa Paula,Ventura County,California,0 +Santa Rita Park,Merced County,California,0 +Santa Rosa,Sonoma County,California,0 +Santa Rosa,Guadalupe County,New Mexico,0 +Santa Rosa,Cameron County,Texas,0 +Santa Rosa Beach,Walton County,Florida,0 +Santa Teresa,Do�a Ana County,New Mexico,0 +Santa Ynez,Santa Barbara County,California,0 +Santa Ysabel,San Diego County,California,0 +Santaquin,Utah County,Utah,0 +Santee,San Diego County,California,0 +Santee,Orangeburg County,South Carolina,0 +Santiago,Sherburne County,Minnesota,0 +Santo,Palo Pinto County,Texas,0 +Santo Domingo Pueblo,Sandoval County,New Mexico,0 +Sapello,San Miguel County,New Mexico,0 +Sapelo Island,McIntosh County,Georgia,0 +Sapphire,Transylvania County,North Carolina,0 +Sapulpa,Creek County,Oklahoma,0 +Saragosa,Reeves County,Texas,0 +Sarah,Tate County,Mississippi,0 +Sarah Ann,Logan County,West Virginia,0 +Sarahsville,Noble County,Ohio,0 +Saraland,Mobile County,Alabama,0 +Saranac,Ionia County,Michigan,0 +Saranac,Clinton County,New York,0 +Saranac Lake,Franklin County,New York,0 +Sarasota,Manatee County,Florida,0 +Sarasota,Sarasota County,Florida,0 +Saratoga,Hempstead County,Arkansas,0 +Saratoga,Santa Clara County,California,0 +Saratoga,Randolph County,Indiana,0 +Saratoga,Wilson County,North Carolina,0 +Saratoga,Hardin County,Texas,0 +Saratoga,Carbon County,Wyoming,0 +Saratoga Springs,Saratoga County,New York,0 +Saratoga Springs,Utah County,Utah,0 +Sarcoxie,Jasper County,Missouri,0 +Sardinia,Erie County,New York,0 +Sardinia,Brown County,Ohio,0 +Sardinia,Clarendon County,South Carolina,0 +Sardis,Dallas County,Alabama,0 +Sardis,Burke County,Georgia,0 +Sardis,Panola County,Mississippi,0 +Sardis,Monroe County,Ohio,0 +Sardis,Henderson County,Tennessee,0 +Sarepta,Webster Parish,Louisiana,0 +Sargeant,Mower County,Minnesota,0 +Sargent,Coweta County,Georgia,0 +Sargent,Custer County,Nebraska,0 +Sargents,Saguache County,Colorado,0 +Sargentville,Hancock County,Maine,0 +Sarita,Kenedy County,Texas,0 +Sarles,Cavalier County,North Dakota,0 +Sarona,Washburn County,Wisconsin,0 +Saronville,Clay County,Nebraska,0 +Sartell,Stearns County,Minnesota,0 +Sarver,Butler County,Pennsylvania,0 +Sasabe,Pima County,Arizona,0 +Sasakwa,Seminole County,Oklahoma,0 +Sassafras,Knott County,Kentucky,0 +Sassamansville,Montgomery County,Pennsylvania,0 +Sasser,Terrell County,Georgia,0 +Satanta,Haskell County,Kansas,0 +Satartia,Yazoo County,Mississippi,0 +Satellite Beach,Brevard County,Florida,0 +Satin,Falls County,Texas,0 +Satsop,Grays Harbor County,Washington,0 +Satsuma,Mobile County,Alabama,0 +Satsuma,Putnam County,Florida,0 +Saucier,Harrison County,Mississippi,0 +Saugatuck,Allegan County,Michigan,0 +Saugerties,Ulster County,New York,0 +Saugus,Essex County,Massachusetts,0 +Sauk Centre,Stearns County,Minnesota,0 +Sauk City,Sauk County,Wisconsin,0 +Sauk Rapids,Benton County,Minnesota,0 +Saukville,Ozaukee County,Wisconsin,0 +Saul,Perry County,Kentucky,0 +Saulsbury,Hardeman County,Tennessee,0 +Saulsville,Wyoming County,West Virginia,0 +Sault Sainte Marie,Chippewa County,Michigan,0 +Saunderstown,Washington County,Rhode Island,0 +Saunemin,Livingston County,Illinois,0 +Sauquoit,Oneida County,New York,0 +Sausalito,Marin County,California,0 +Sautee Nacoochee,White County,Georgia,0 +Savage,Howard County,Maryland,0 +Savage,Scott County,Minnesota,0 +Savage,Richland County,Montana,0 +Savanna,Carroll County,Illinois,0 +Savanna,Pittsburg County,Oklahoma,0 +Savannah,Chatham County,Georgia,0 +Savannah,Andrew County,Missouri,0 +Savannah,Wayne County,New York,0 +Savannah,Ashland County,Ohio,0 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County,Illinois,0 +Schellsburg,Bedford County,Pennsylvania,0 +Schenectady,Schenectady County,New York,0 +Schenevus,Otsego County,New York,0 +Schenley,Armstrong County,Pennsylvania,0 +Schererville,Lake County,Indiana,0 +Schertz,Guadalupe County,Texas,0 +Schiller Park,Cook County,Illinois,0 +Schlater,Leflore County,Mississippi,0 +Schleswig,Crawford County,Iowa,0 +Schley,Gloucester County,Virginia,0 +Schnecksville,Lehigh County,Pennsylvania,0 +Schneider,Lake County,Indiana,0 +Schnellville,Dubois County,Indiana,0 +Schodack Landing,Rensselaer County,New York,0 +Schoenchen,Ellis County,Kansas,0 +Schofield,Marathon County,Wisconsin,0 +Schofield Barracks,Honolulu County,Hawaii,0 +Schoharie,Schoharie County,New York,0 +Schoolcraft,Kalamazoo County,Michigan,0 +Schooleys Mountain,Morris County,New Jersey,0 +Schriever,Terrebonne Parish,Louisiana,0 +Schroeder,Cook County,Minnesota,0 +Schroon Lake,Essex County,New York,0 +Schulenburg,Fayette County,Texas,0 +Schulter,Okmulgee County,Oklahoma,0 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Woolley,Skagit County,Washington,0 +Seekonk,Bristol County,Massachusetts,0 +Seeley,Imperial County,California,0 +Seeley Lake,Missoula County,Montana,0 +Seelyville,Vigo County,Indiana,0 +Seffner,Hillsborough County,Florida,0 +Seguin,Guadalupe County,Texas,0 +Seiad Valley,Siskiyou County,California,0 +Seibert,Kit Carson County,Colorado,0 +Seiling,Major County,Oklahoma,0 +Sekiu,Clallam County,Washington,0 +Selah,Yakima County,Washington,0 +Selawik,Northwest Arctic Borough,Alaska,0 +Selby,Walworth County,South Dakota,0 +Selbyville,Sussex County,Delaware,0 +Selbyville,Upshur County,West Virginia,0 +Selden,Sheridan County,Kansas,0 +Selden,Suffolk County,New York,0 +Seldovia,Kenai Peninsula Borough,Alaska,0 +Selfridge,Sioux County,North Dakota,0 +Seligman,Yavapai County,Arizona,0 +Seligman,Barry County,Missouri,0 +Selinsgrove,Snyder County,Pennsylvania,0 +Selkirk,Albany County,New York,0 +Sellers,Dillon County,South Carolina,0 +Sellersburg,Clark County,Indiana,0 +Sellersville,Bucks 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County,Maryland,0 +Severn,Northampton County,North Carolina,0 +Severn,Gloucester County,Virginia,0 +Severna Park,Anne Arundel County,Maryland,0 +Severy,Greenwood County,Kansas,0 +Sevier,Sevier County,Utah,0 +Sevierville,Sevier County,Tennessee,0 +Seville,Volusia County,Florida,0 +Seville,Wilcox County,Georgia,0 +Seville,Medina County,Ohio,0 +Sewanee,Franklin County,Tennessee,0 +Seward,Kenai Peninsula Borough,Alaska,0 +Seward,Winnebago County,Illinois,0 +Seward,Seward County,Nebraska,0 +Seward,Indiana County,Pennsylvania,0 +Sewaren,Middlesex County,New Jersey,0 +Sewell,Gloucester County,New Jersey,0 +Sewickley,Allegheny County,Pennsylvania,0 +Sextons Creek,Clay County,Kentucky,0 +Sextonville,Richland County,Wisconsin,0 +Seymour,New Haven County,Connecticut,0 +Seymour,Champaign County,Illinois,0 +Seymour,Jackson County,Indiana,0 +Seymour,Wayne County,Iowa,0 +Seymour,Webster County,Missouri,0 +Seymour,Sevier County,Tennessee,0 +Seymour,Baylor County,Texas,0 +Seymour,Outagamie County,Wisconsin,0 +Shabbona,DeKalb County,Illinois,0 +Shacklefords,King and Queen County,Virginia,0 +Shade,Meigs County,Ohio,0 +Shade Gap,Huntingdon County,Pennsylvania,0 +Shady Cove,Jackson County,Oregon,0 +Shady Dale,Jasper County,Georgia,0 +Shady Grove,Taylor County,Florida,0 +Shady Grove,Franklin County,Pennsylvania,0 +Shady Point,Le Flore County,Oklahoma,0 +Shady Side,Anne Arundel County,Maryland,0 +Shady Spring,Raleigh County,West Virginia,0 +Shady Valley,Johnson County,Tennessee,0 +Shadyside,Belmont County,Ohio,0 +Shafer,Chisago County,Minnesota,0 +Shafter,Kern County,California,0 +Shaftsburg,Shiawassee County,Michigan,0 +Shaftsbury,Bennington County,Vermont,0 +Shageluk,Yukon-Koyukuk Census Area,Alaska,0 +Shakopee,Scott County,Minnesota,0 +Shaktoolik,Nome Census Area,Alaska,0 +Shalimar,Okaloosa County,Florida,0 +Shallotte,Brunswick County,North Carolina,0 +Shallowater,Lubbock County,Texas,0 +Shambaugh,Page County,Iowa,0 +Shamokin,Northumberland County,Pennsylvania,0 +Shamokin 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County,Vermont,0 +Sharon,Walworth County,Wisconsin,0 +Sharon Center,Medina County,Ohio,0 +Sharon Grove,Todd County,Kentucky,0 +Sharon Hill,Delaware County,Pennsylvania,0 +Sharon Springs,Wallace County,Kansas,0 +Sharon Springs,Schoharie County,New York,0 +Sharpes,Brevard County,Florida,0 +Sharples,Logan County,West Virginia,0 +Sharps,Richmond County,Virginia,0 +Sharps Chapel,Union County,Tennessee,0 +Sharpsburg,Coweta County,Georgia,0 +Sharpsburg,Taylor County,Iowa,0 +Sharpsburg,Bath County,Kentucky,0 +Sharpsburg,Washington County,Maryland,0 +Sharpsburg,Nash County,North Carolina,0 +Sharpsburg,Athens County,Ohio,0 +Sharpsville,Tipton County,Indiana,0 +Sharpsville,Mercer County,Pennsylvania,0 +Sharptown,Wicomico County,Maryland,0 +Shartlesville,Berks County,Pennsylvania,0 +Shasta,Shasta County,California,0 +Shasta Lake,Shasta County,California,0 +Shattuck,Ellis County,Oklahoma,0 +Shauck,Morrow County,Ohio,0 +Shaver Lake,Fresno County,California,0 +Shavertown,Luzerne County,Pennsylvania,0 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Flats,Chenango County,New York,0 +Smithwick,Fall River County,South Dakota,0 +Smoaks,Colleton County,South Carolina,0 +Smock,Fayette County,Pennsylvania,0 +Smokerun,Clearfield County,Pennsylvania,0 +Smoketown,Lancaster County,Pennsylvania,0 +Smoot,Greenbrier County,West Virginia,0 +Smoot,Lincoln County,Wyoming,0 +Smyer,Hockley County,Texas,0 +Smyrna,Kent County,Delaware,0 +Smyrna,Cobb County,Georgia,0 +Smyrna,Ionia County,Michigan,0 +Smyrna,Chenango County,New York,0 +Smyrna,Carteret County,North Carolina,0 +Smyrna,York County,South Carolina,0 +Smyrna,Rutherford County,Tennessee,0 +Smyrna Mills,Aroostook County,Maine,0 +Sneads,Jackson County,Florida,0 +Sneads Ferry,Onslow County,North Carolina,0 +Sneedville,Hancock County,Tennessee,0 +Snelling,Merced County,California,0 +Snellville,Gwinnett County,Georgia,0 +Snohomish,Snohomish County,Washington,0 +Snook,Burleson County,Texas,0 +Snoqualmie,King County,Washington,0 +Snoqualmie Pass,Kittitas County,Washington,0 +Snover,Sanilac County,Michigan,0 +Snow,Pushmataha County,Oklahoma,0 +Snow Camp,Alamance County,North Carolina,0 +Snow Hill,Worcester County,Maryland,0 +Snow Hill,Greene County,North Carolina,0 +Snow Lake,Desha County,Arkansas,0 +Snow Shoe,Centre County,Pennsylvania,0 +Snowflake,Navajo County,Arizona,0 +Snowmass,Pitkin County,Colorado,0 +Snowmass Village,Pitkin County,Colorado,0 +Snowshoe,Pocahontas County,West Virginia,0 +Snowville,Box Elder County,Utah,0 +Snyder,Morgan County,Colorado,0 +Snyder,Dodge County,Nebraska,0 +Snyder,Kiowa County,Oklahoma,0 +Snyder,Scurry County,Texas,0 +Snydersburg,Clarion County,Pennsylvania,0 +Snydertown,Northumberland County,Pennsylvania,0 +Soap Lake,Grant County,Washington,0 +Sobieski,Oconto County,Wisconsin,0 +Social Circle,Walton County,Georgia,0 +Society Hill,Darlington County,South Carolina,0 +Socorro,Socorro County,New Mexico,0 +Sod,Lincoln County,West Virginia,0 +Soda Springs,Placer County,California,0 +Soda Springs,Caribou County,Idaho,0 +Soddy Daisy,Hamilton County,Tennessee,0 +Sodus,Berrien County,Michigan,0 +Sodus,Wayne County,New York,0 +Sodus Point,Wayne County,New York,0 +Solana Beach,San Diego County,California,0 +Solano,San Miguel County,New Mexico,0 +Soldier,Monona County,Iowa,0 +Soldier,Jackson County,Kansas,0 +Soldier,Carter County,Kentucky,0 +Soldiers Grove,Crawford County,Wisconsin,0 +Soldotna,Kenai Peninsula Borough,Alaska,0 +Solebury,Bucks County,Pennsylvania,0 +Soledad,Monterey County,California,0 +Solen,Morton County,North Dakota,0 +Solgohachia,Conway County,Arkansas,0 +Solo,Texas County,Missouri,0 +Solomon,Graham County,Arizona,0 +Solomon,Dickinson County,Kansas,0 +Solomons,Calvert County,Maryland,0 +Solon,Johnson County,Iowa,0 +Solon,Somerset County,Maine,0 +Solon,Cuyahoga County,Ohio,0 +Solon Springs,Douglas County,Wisconsin,0 +Solsberry,Greene County,Indiana,0 +Solsville,Madison County,New York,0 +Solvang,Santa Barbara County,California,0 +Solway,Beltrami County,Minnesota,0 +Somerdale,Camden County,New Jersey,0 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County,New Jersey,0 +Somerville,Butler County,Ohio,0 +Somerville,Fayette County,Tennessee,0 +Somerville,Burleson County,Texas,0 +Somerville,Fauquier County,Virginia,0 +Somes Bar,Siskiyou County,California,0 +Somis,Ventura County,California,0 +Somonauk,LaSalle County,Illinois,0 +Sondheimer,East Carroll Parish,Louisiana,0 +Sonoita,Santa Cruz County,Arizona,0 +Sonoma,Sonoma County,California,0 +Sonora,Tuolumne County,California,0 +Sonora,Hardin County,Kentucky,0 +Sonora,Sutton County,Texas,0 +Sontag,Lawrence County,Mississippi,0 +Sonyea,Livingston County,New York,0 +Sopchoppy,Wakulla County,Florida,0 +Soper,Choctaw County,Oklahoma,0 +Soperton,Treutlen County,Georgia,0 +Sophia,Randolph County,North Carolina,0 +Sophia,Raleigh County,West Virginia,0 +Soquel,Santa Cruz County,California,0 +Sorento,Bond County,Illinois,0 +Sorrento,Lake County,Florida,0 +Sorrento,Ascension Parish,Louisiana,0 +Sorrento,Hancock County,Maine,0 +Soso,Jones County,Mississippi,0 +Soudan,St. Louis County,Minnesota,0 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County,Massachusetts,0 +South El Monte,Los Angeles County,California,0 +South Elgin,Kane County,Illinois,0 +South English,Keokuk County,Iowa,0 +South Fallsburg,Sullivan County,New York,0 +South Fork,Rio Grande County,Colorado,0 +South Fork,Howell County,Missouri,0 +South Fork,Cambria County,Pennsylvania,0 +South Freeport,Cumberland County,Maine,0 +South Fulton,Obion County,Tennessee,0 +South Gardiner,Kennebec County,Maine,0 +South Gate,Los Angeles County,California,0 +South Gibson,Susquehanna County,Pennsylvania,0 +South Glastonbury,Hartford County,Connecticut,0 +South Glens Falls,Saratoga County,New York,0 +South Grafton,Worcester County,Massachusetts,0 +South Greenfield,Dade County,Missouri,0 +South Hackensack,Bergen County,New Jersey,0 +South Hadley,Hampshire County,Massachusetts,0 +South Hamilton,Essex County,Massachusetts,0 +South Harwich,Barnstable County,Massachusetts,0 +South Haven,Sumner County,Kansas,0 +South Haven,Van Buren County,Michigan,0 +South Haven,Stearns County,Minnesota,0 +South Heart,Stark County,North Dakota,0 +South Heights,Beaver County,Pennsylvania,0 +South Hero,Grand Isle County,Vermont,0 +South Hill,Mecklenburg County,Virginia,0 +South Holland,Cook County,Illinois,0 +South Houston,Harris County,Texas,0 +South Hutchinson,Reno County,Kansas,0 +South International Falls,Koochiching County,Minnesota,0 +South Jamesport,Suffolk County,New York,0 +South Jordan,Salt Lake County,Utah,0 +South Kent,Litchfield County,Connecticut,0 +South Kortright,Delaware County,New York,0 +South Lake Tahoe,Alpine County,California,0 +South Lake Tahoe,El Dorado County,California,0 +South Lancaster,Worcester County,Massachusetts,0 +South Lebanon,Warren County,Ohio,0 +South Lee,Berkshire County,Massachusetts,0 +South Lima,Livingston County,New York,0 +South Londonderry,Windham County,Vermont,0 +South Lyme,New London County,Connecticut,0 +South Lyon,Oakland County,Michigan,0 +South Milford,LaGrange County,Indiana,0 +South Mills,Camden County,North Carolina,0 +South Milwaukee,Milwaukee County,Wisconsin,0 +South Montrose,Susquehanna County,Pennsylvania,0 +South Mountain,Franklin County,Pennsylvania,0 +South Naknek,Bristol Bay Borough,Alaska,0 +South New Berlin,Chenango County,New York,0 +South Newbury,Merrimack County,New Hampshire,0 +South Newfane,Windham County,Vermont,0 +South Orange,Essex County,New Jersey,0 +South Orleans,Barnstable County,Massachusetts,0 +South Otselic,Chenango County,New York,0 +South Ozone Park,Queens County,New York,0 +South Padre Island,Cameron County,Texas,0 +South Paris,Oxford County,Maine,0 +South Park,Allegheny County,Pennsylvania,0 +South Pasadena,Los Angeles County,California,0 +South Pekin,Tazewell County,Illinois,0 +South Pittsburg,Marion County,Tennessee,0 +South Plainfield,Middlesex County,New Jersey,100 +South Plains,Floyd County,Texas,0 +South Plymouth,Chenango County,New York,0 +South Point,Lawrence County,Ohio,0 +South Pomfret,Windsor County,Vermont,0 +South Portland,Cumberland County,Maine,0 +South Portsmouth,Greenup County,Kentucky,0 +South Prairie,Pierce County,Washington,0 +South Range,Houghton County,Michigan,0 +South Range,Douglas County,Wisconsin,0 +South Richmond Hill,Queens County,New York,0 +South River,Middlesex County,New Jersey,0 +South Rockwood,Monroe County,Michigan,0 +South Roxana,Madison County,Illinois,0 +South Royalton,Windsor County,Vermont,0 +South Ryegate,Caledonia County,Vermont,0 +South Saint Paul,Dakota County,Minnesota,0 +South Salem,Westchester County,New York,0 +South Salem,Ross County,Ohio,0 +South San Francisco,San Mateo County,California,0 +South Seaville,Cape May County,New Jersey,0 +South Shore,Greenup County,Kentucky,0 +South Shore,Codington County,South Dakota,0 +South Sioux City,Dakota County,Nebraska,0 +South Solon,Madison County,Ohio,0 +South Sterling,Wayne County,Pennsylvania,0 +South Strafford,Orange County,Vermont,0 +South Sutton,Merrimack County,New Hampshire,0 +South Tamworth,Carroll County,New Hampshire,0 +South Thomaston,Knox County,Maine,0 +South Union,Logan County,Kentucky,0 +South Vienna,Clark County,Ohio,0 +South Wales,Erie County,New York,0 +South Walpole,Norfolk County,Massachusetts,0 +South Wayne,Lafayette County,Wisconsin,0 +South Webster,Scioto County,Ohio,0 +South Wellfleet,Barnstable County,Massachusetts,0 +South West City,McDonald County,Missouri,0 +South Weymouth,Norfolk County,Massachusetts,0 +South Whitley,Whitley County,Indiana,0 +South Williamson,Pike County,Kentucky,0 +South Willington,Tolland County,Connecticut,0 +South Wilmington,Grundy County,Illinois,0 +South Windham,Windham County,Connecticut,0 +South Windham,Cumberland County,Maine,0 +South Windsor,Hartford County,Connecticut,0 +South Woodstock,Windham County,Connecticut,0 +South Woodstock,Windsor County,Vermont,0 +South Yarmouth,Barnstable County,Massachusetts,0 +Southampton,Hampshire County,Massachusetts,0 +Southampton,Suffolk County,New York,0 +Southampton,Bucks County,Pennsylvania,0 +Southard,Blaine County,Oklahoma,0 +Southaven,DeSoto County,Mississippi,0 +Southborough,Worcester County,Massachusetts,0 +Southbridge,Worcester County,Massachusetts,0 +Southbury,New Haven County,Connecticut,0 +Southeastern,Chester County,Pennsylvania,0 +Southern Md Facility,Prince George's County,Maryland,0 +Southern Pines,Moore County,North Carolina,0 +Southfield,Berkshire County,Massachusetts,0 +Southfield,Oakland County,Michigan,0 +Southfields,Orange County,New York,0 +Southgate,Wayne County,Michigan,0 +Southington,Hartford County,Connecticut,0 +Southington,Trumbull County,Ohio,0 +Southlake,Tarrant County,Texas,0 +Southmayd,Grayson County,Texas,0 +Southmont,Davidson County,North Carolina,0 +Southold,Suffolk County,New York,0 +Southport,Fairfield County,Connecticut,0 +Southport,Lincoln County,Maine,0 +Southport,Brunswick County,North Carolina,0 +Southside,Montgomery County,Tennessee,0 +Southside,Mason County,West Virginia,0 +Southview,Washington County,Pennsylvania,0 +Southwest,Westmoreland County,Pennsylvania,0 +Southwest Harbor,Hancock County,Maine,0 +Southwick,Hampden County,Massachusetts,0 +Southworth,Kitsap County,Washington,0 +Spaceport City,,New Mexico,0 +Spade,Lamb County,Texas,0 +Spalding,Menominee County,Michigan,0 +Spalding,Greeley County,Nebraska,0 +Spanaway,Pierce County,Washington,0 +Spangle,Spokane County,Washington,0 +Spangler,Cambria County,Pennsylvania,0 +Spanish Fork,Utah County,Utah,0 +Spanish Fort,Baldwin County,Alabama,0 +Spanishburg,Mercer County,West Virginia,0 +Sparkill,Rockland County,New York,0 +Sparkman,Dallas County,Arkansas,0 +Sparks,Cook County,Georgia,0 +Sparks,Cherry County,Nebraska,0 +Sparks,Washoe County,Nevada,0 +Sparks,Lincoln County,Oklahoma,0 +Sparks Glencoe,Baltimore County,Maryland,0 +Sparland,Marshall County,Illinois,0 +Sparr,Marion County,Florida,0 +Sparrow Bush,Orange County,New York,0 +Sparrows Point,Baltimore County,Maryland,0 +Sparta,Hancock County,Georgia,0 +Sparta,Randolph County,Illinois,0 +Sparta,Gallatin County,Kentucky,0 +Sparta,Kent County,Michigan,0 +Sparta,Christian County,Missouri,0 +Sparta,Sussex County,New Jersey,0 +Sparta,Alleghany County,North Carolina,0 +Sparta,Morrow County,Ohio,0 +Sparta,White County,Tennessee,0 +Sparta,Caroline County,Virginia,0 +Sparta,Monroe County,Wisconsin,0 +Spartanburg,Spartanburg County,South Carolina,0 +Spartansburg,Crawford County,Pennsylvania,0 +Spavinaw,Mayes County,Oklahoma,0 +Spearfish,Lawrence County,South Dakota,0 +Spearman,Hansford County,Texas,0 +Spearsville,Union Parish,Louisiana,0 +Spearville,Ford County,Kansas,0 +Speculator,Hamilton County,New York,0 +Speed,Edgecombe County,North Carolina,0 +Speedwell,Claiborne County,Tennessee,0 +Speedwell,Wythe County,Virginia,0 +Speer,Stark County,Illinois,0 +Spelter,Harrison County,West Virginia,0 +Spencer,Clark County,Idaho,0 +Spencer,Owen County,Indiana,0 +Spencer,Clay County,Iowa,0 +Spencer,Worcester County,Massachusetts,0 +Spencer,Boyd County,Nebraska,0 +Spencer,Tioga County,New York,0 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Church,Armstrong County,Pennsylvania,0 +Spring City,Chester County,Pennsylvania,0 +Spring City,Rhea County,Tennessee,0 +Spring City,Sanpete County,Utah,0 +Spring Creek,Elko County,Nevada,0 +Spring Creek,Warren County,Pennsylvania,0 +Spring Creek,Madison County,Tennessee,0 +Spring Dale,Fayette County,West Virginia,0 +Spring Gap,Mineral County,Maryland,0 +Spring Garden,Cherokee County,Alabama,0 +Spring Glen,Ulster County,New York,0 +Spring Glen,Schuylkill County,Pennsylvania,0 +Spring Green,Sauk County,Wisconsin,0 +Spring Grove,McHenry County,Illinois,0 +Spring Grove,Houston County,Minnesota,0 +Spring Grove,York County,Pennsylvania,0 +Spring Grove,Surry County,Virginia,0 +Spring Hill,Hernando County,Florida,0 +Spring Hill,Pasco County,Florida,0 +Spring Hill,Johnson County,Kansas,0 +Spring Hill,Williamson County,Tennessee,0 +Spring Hope,Nash County,North Carolina,0 +Spring House,Montgomery County,Pennsylvania,0 +Spring Lake,Ottawa County,Michigan,0 +Spring Lake,Itasca County,Minnesota,0 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County,Arizona,0 +Springfield,Conway County,Arkansas,0 +Springfield,Baca County,Colorado,0 +Springfield,Effingham County,Georgia,0 +Springfield,Bingham County,Idaho,0 +Springfield,Sangamon County,Illinois,0 +Springfield,Washington County,Kentucky,0 +Springfield,Livingston Parish,Louisiana,0 +Springfield,Penobscot County,Maine,0 +Springfield,Hampden County,Massachusetts,0 +Springfield,Brown County,Minnesota,0 +Springfield,Greene County,Missouri,0 +Springfield,Sarpy County,Nebraska,0 +Springfield,Sullivan County,New Hampshire,0 +Springfield,Union County,New Jersey,0 +Springfield,Clark County,Ohio,0 +Springfield,,Oregon,0 +Springfield,Lane County,Oregon,0 +Springfield,Delaware County,Pennsylvania,0 +Springfield,Orangeburg County,South Carolina,0 +Springfield,Bon Homme County,South Dakota,0 +Springfield,Robertson County,Tennessee,0 +Springfield,Windsor County,Vermont,0 +Springfield,Fairfax County,Virginia,0 +Springfield,Hampshire County,West Virginia,0 +Springfield,Walworth County,Wisconsin,0 +Springfield Center,Otsego County,New York,0 +Springfield Gardens,Queens County,New York,0 +Springhill,Webster Parish,Louisiana,0 +Springlake,Lamb County,Texas,0 +Springport,Henry County,Indiana,0 +Springport,Jackson County,Michigan,0 +Springs,Somerset County,Pennsylvania,0 +Springtown,Bucks County,Pennsylvania,0 +Springtown,Parker County,Texas,0 +Springvale,York County,Maine,0 +Springview,Keya Paha County,Nebraska,0 +Springville,St. Clair County,Alabama,0 +Springville,Tulare County,California,0 +Springville,Lawrence County,Indiana,0 +Springville,Linn County,Iowa,0 +Springville,Erie County,New York,0 +Springville,Susquehanna County,Pennsylvania,0 +Springville,Henry County,Tennessee,0 +Springville,Utah County,Utah,0 +Springwater,Livingston County,New York,0 +Sproul,Blair County,Pennsylvania,0 +Spruce,Alcona County,Michigan,0 +Spruce Creek,Huntingdon County,Pennsylvania,0 +Spruce Head,Knox County,Maine,0 +Spruce Pine,Franklin County,Alabama,0 +Spruce Pine,Mitchell County,North Carolina,0 +Spur,Dickens County,Texas,0 +Spurgeon,Pike County,Indiana,0 +Spurger,Tyler County,Texas,0 +Spurlockville,Lincoln County,West Virginia,0 +Squaw Lake,Itasca County,Minnesota,0 +Squaw Valley,Fresno County,California,0 +Squire,McDowell County,West Virginia,0 +Squires,Douglas County,Missouri,0 +Squirrel Island,Lincoln County,Maine,0 +St Columbans,Sarpy County,Nebraska,0 +Staatsburg,Dutchess County,New York,0 +Stacy,Chisago County,Minnesota,0 +Stacy,Carteret County,North Carolina,0 +Stacyville,Mitchell County,Iowa,0 +Stacyville,Penobscot County,Maine,0 +Stafford,Tolland County,Connecticut,0 +Stafford,Stafford County,Kansas,0 +Stafford,Genesee County,New York,0 +Stafford,Monroe County,Ohio,0 +Stafford,Fort Bend County,Texas,0 +Stafford,Stafford County,Virginia,0 +Stafford Springs,Tolland County,Connecticut,0 +Staffordsville,Johnson County,Kentucky,0 +Staffordsville,Giles County,Virginia,0 +Staffordville,Tolland County,Connecticut,0 +Stahlstown,Westmoreland County,Pennsylvania,0 +Staley,Randolph County,North Carolina,0 +Stambaugh,Johnson County,Kentucky,0 +Stambaugh,Iron County,Michigan,0 +Stamford,Fairfield County,Connecticut,0 +Stamford,Harlan County,Nebraska,0 +Stamford,Delaware County,New York,0 +Stamford,Jones County,Texas,0 +Stamford,Bennington County,Vermont,0 +Stamping Ground,Scott County,Kentucky,0 +Stamps,Lafayette County,Arkansas,0 +Stanaford,Raleigh County,West Virginia,0 +Stanardsville,Greene County,Virginia,0 +Stanberry,Gentry County,Missouri,0 +Stanchfield,Isanti County,Minnesota,0 +Standard,Tuolumne County,California,0 +Standard,Putnam County,Illinois,0 +Standish,Lassen County,California,0 +Standish,Cumberland County,Maine,0 +Standish,Arenac County,Michigan,0 +Stanfield,Pinal County,Arizona,0 +Stanfield,Stanly County,North Carolina,0 +Stanfield,Umatilla County,Oregon,0 +Stanford,Santa Clara County,California,0 +Stanford,McLean County,Illinois,0 +Stanford,Monroe County,Indiana,0 +Stanford,Lincoln County,Kentucky,0 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Parish,Louisiana,0 +Starksboro,Addison County,Vermont,0 +Starkville,Oktibbeha County,Mississippi,0 +Starkweather,Ramsey County,North Dakota,0 +Starlight,Wayne County,Pennsylvania,0 +Starr,Anderson County,South Carolina,0 +Starrucca,Wayne County,Pennsylvania,0 +Start,Richland Parish,Louisiana,0 +Startex,Spartanburg County,South Carolina,0 +Startup,Snohomish County,Washington,0 +State Center,Marshall County,Iowa,0 +State College,Centre County,Pennsylvania,0 +State Farm,Powhatan County,Virginia,0 +State Line,Warren County,Indiana,0 +State Line,Wayne County,Mississippi,0 +State Line,Franklin County,Pennsylvania,0 +State Park,Richland County,South Carolina,0 +State Road,Surry County,North Carolina,0 +State University,Craighead County,Arkansas,0 +Stateline,Douglas County,Nevada,0 +Staten Island,Richmond County,New York,0 +Statenville,Echols County,Georgia,0 +Statesboro,Bulloch County,Georgia,0 +Statesville,Iredell County,North Carolina,0 +Statham,Barrow County,Georgia,0 +Staunton,Macoupin County,Illinois,0 +Staunton,Clay County,Indiana,0 +Staunton,Staunton City,Virginia,0 +Staunton,Staunton city,Virginia,0 +Stayton,Marion County,Oregon,0 +Steamboat Rock,Hardin County,Iowa,0 +Steamboat Springs,Routt County,Colorado,0 +Steamburg,Cattaraugus County,New York,0 +Stearns,McCreary County,Kentucky,0 +Stebbins,Nome Census Area,Alaska,0 +Stedman,Cumberland County,North Carolina,0 +Steedman,Callaway County,Missouri,0 +Steele,St. Clair County,Alabama,0 +Steele,Pike County,Kentucky,0 +Steele,Pemiscot County,Missouri,0 +Steele,Kidder County,North Dakota,0 +Steele City,Jefferson County,Nebraska,0 +Steeles Tavern,Augusta County,Virginia,0 +Steeleville,Randolph County,Illinois,0 +Steelville,Crawford County,Missouri,0 +Steen,Rock County,Minnesota,0 +Steens,Lowndes County,Mississippi,0 +Steep Falls,Cumberland County,Maine,0 +Steger,Will County,Illinois,0 +Stehekin,Chelan County,Washington,0 +Steilacoom,Pierce County,Washington,0 +Steinauer,Pawnee County,Nebraska,0 +Steinhatchee,Taylor County,Florida,0 +Stella,McDonald County,Missouri,0 +Stella,Richardson County,Nebraska,0 +Stella,Onslow County,North Carolina,0 +Stella Niagara,Niagara County,New York,0 +Stem,Granville County,North Carolina,0 +Stendal,Pike County,Indiana,0 +Stennis Space Center,Hancock County,Mississippi,0 +Stephan,Hyde County,South Dakota,0 +Stephen,Marshall County,Minnesota,0 +Stephens,Ouachita County,Arkansas,0 +Stephens,Oglethorpe County,Georgia,0 +Stephens City,Frederick County,Virginia,0 +Stephenson,Menominee County,Michigan,0 +Stephenson,Frederick County,Virginia,0 +Stephenson,Wyoming County,West Virginia,0 +Stephensport,Breckinridge County,Kentucky,0 +Stephentown,Rensselaer County,New York,0 +Stephenville,Erath County,Texas,0 +Steptoe,Whitman County,Washington,0 +Sterling,Kenai Peninsula Borough,Alaska,0 +Sterling,Logan County,Colorado,0 +Sterling,Windham County,Connecticut,0 +Sterling,Whiteside County,Illinois,0 +Sterling,Rice County,Kansas,0 +Sterling,Worcester County,Massachusetts,0 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River,Worcester County,Massachusetts,0 +Stillman Valley,Ogle County,Illinois,0 +Stillmore,Emanuel County,Georgia,0 +Stillwater,Penobscot County,Maine,0 +Stillwater,Washington County,Minnesota,0 +Stillwater,Sussex County,New Jersey,0 +Stillwater,Saratoga County,New York,0 +Stillwater,Harrison County,Ohio,0 +Stillwater,Payne County,Oklahoma,0 +Stillwater,Columbia County,Pennsylvania,0 +Stilwell,Johnson County,Kansas,0 +Stilwell,Adair County,Oklahoma,0 +Stinesville,Monroe County,Indiana,0 +Stinnett,Leslie County,Kentucky,0 +Stinnett,Hutchinson County,Texas,0 +Stinson Beach,Marin County,California,0 +Stinson Lake,Grafton County,New Hampshire,0 +Stirling,Morris County,New Jersey,0 +Stirling City,Butte County,California,0 +Stirum,Sargent County,North Dakota,0 +Stites,Idaho County,Idaho,0 +Stittville,Oneida County,New York,0 +Stitzer,Grant County,Wisconsin,0 +Stockbridge,Henry County,Georgia,0 +Stockbridge,Berkshire County,Massachusetts,0 +Stockbridge,Ingham County,Michigan,0 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Springs,Waldo County,Maine,0 +Stockville,Frontier County,Nebraska,0 +Stockwell,Tippecanoe County,Indiana,0 +Stoddard,Cheshire County,New Hampshire,0 +Stoddard,Vernon County,Wisconsin,0 +Stokes,Pitt County,North Carolina,0 +Stokesdale,Rockingham County,North Carolina,0 +Stollings,Logan County,West Virginia,0 +Stone,Pike County,Kentucky,0 +Stone Creek,Tuscarawas County,Ohio,0 +Stone Harbor,Cape May County,New Jersey,0 +Stone Lake,Sawyer County,Wisconsin,0 +Stone Mountain,DeKalb County,Georgia,0 +Stone Mountain,Dekalb County,Georgia,0 +Stone Park,Cook County,Illinois,0 +Stone Ridge,Ulster County,New York,0 +Stoneboro,Mercer County,Pennsylvania,0 +Stonefort,Saline County,Illinois,0 +Stoneham,Weld County,Colorado,0 +Stoneham,Oxford County,Maine,0 +Stoneham,Middlesex County,Massachusetts,0 +Stoneville,Washington County,Mississippi,0 +Stoneville,Rockingham County,North Carolina,0 +Stonewall,De Soto Parish,Louisiana,0 +Stonewall,Clarke County,Mississippi,0 +Stonewall,Pamlico County,North Carolina,0 +Stonewall,Pontotoc County,Oklahoma,0 +Stonewall,Gillespie County,Texas,0 +Stoney Fork,Bell County,Kentucky,0 +Stonington,,Colorado,0 +Stonington,New London County,Connecticut,0 +Stonington,Christian County,Illinois,0 +Stonington,Hancock County,Maine,0 +Stony Brook,Suffolk County,New York,0 +Stony Creek,Warren County,New York,0 +Stony Creek,Sussex County,Virginia,0 +Stony Point,Rockland County,New York,0 +Stony Point,Alexander County,North Carolina,0 +Stony Ridge,Wood County,Ohio,0 +Stonyford,Colusa County,California,0 +Stopover,Pike County,Kentucky,0 +Storden,Cottonwood County,Minnesota,0 +Storm Lake,Buena Vista County,Iowa,0 +Stormville,Dutchess County,New York,0 +Storrie,Plumas County,California,0 +Storrs Mansfield,Tolland County,Connecticut,0 +Story,Montgomery County,Arkansas,0 +Story,Sheridan County,Wyoming,0 +Story City,Story County,Iowa,0 +Stotts City,Lawrence County,Missouri,0 +Stottville,Columbia County,New York,0 +Stoughton,Norfolk County,Massachusetts,0 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County,Ohio,0 +Strasburg,Lancaster County,Pennsylvania,0 +Strasburg,Shenandoah County,Virginia,0 +Stratford,Kings County,California,0 +Stratford,Fairfield County,Connecticut,0 +Stratford,Hamilton County,Iowa,0 +Stratford,Camden County,New Jersey,0 +Stratford,Fulton County,New York,0 +Stratford,Garvin County,Oklahoma,0 +Stratford,Brown County,South Dakota,0 +Stratford,Sherman County,Texas,0 +Stratford,Westmoreland County,Virginia,0 +Stratford,Grant County,Washington,0 +Stratford,Marathon County,Wisconsin,0 +Stratham,Rockingham County,New Hampshire,0 +Strathcona,Roseau County,Minnesota,0 +Strathmere,Cape May County,New Jersey,0 +Strathmore,Tulare County,California,0 +Strattanville,Clarion County,Pennsylvania,0 +Stratton,Kit Carson County,Colorado,0 +Stratton,Franklin County,Maine,0 +Stratton,Hitchcock County,Nebraska,0 +Stratton,Jefferson County,Ohio,0 +Straughn,Henry County,Indiana,0 +Strausstown,Berks County,Pennsylvania,0 +Strawberry,Lawrence County,Arkansas,0 +Strawberry,Tuolumne County,California,0 +Strawberry Plains,Jefferson County,Tennessee,0 +Strawberry Point,Clayton County,Iowa,0 +Strawberry Valley,Yuba County,California,0 +Strawn,Livingston County,Illinois,0 +Strawn,Palo Pinto County,Texas,0 +Streamwood,Cook County,Illinois,0 +Streator,LaSalle County,Illinois,0 +Street,Harford County,Maryland,0 +Streeter,Stutsman County,North Dakota,0 +Streetman,Freestone County,Texas,0 +Streetsboro,Portage County,Ohio,0 +Stringer,Jasper County,Mississippi,0 +Stringtown,Atoka County,Oklahoma,0 +Stroh,Lagrange County,Indiana,0 +Stromsburg,Polk County,Nebraska,0 +Strong,Union County,Arkansas,0 +Strong,Franklin County,Maine,0 +Strong City,Chase County,Kansas,0 +Stronghurst,Henderson County,Illinois,0 +Strongstown,Indiana County,Pennsylvania,0 +Strongsville,Cuyahoga County,Ohio,0 +Stroud,Lincoln County,Oklahoma,0 +Stroudsburg,Monroe County,Pennsylvania,0 +Strum,Trempealeau County,Wisconsin,0 +Strunk,McCreary County,Kentucky,0 +Struthers,Mahoning County,Ohio,0 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County,New York,0 +Stuyvesant Falls,Columbia County,New York,0 +Suamico,Brown County,Wisconsin,0 +Subiaco,Logan County,Arkansas,0 +Sublette,Lee County,Illinois,0 +Sublette,Haskell County,Kansas,0 +Sublime,Lavaca County,Texas,0 +Sublimity,Marion County,Oregon,0 +Suburb Maryland Fac,Montgomery County,Maryland,0 +Succasunna,Morris County,New Jersey,0 +Success,Clay County,Arkansas,0 +Success,Texas County,Missouri,0 +Suches,Union County,Georgia,0 +Sudan,Lamb County,Texas,0 +Sudbury,Middlesex County,Massachusetts,0 +Sudlersville,Queen Anne's County,Maryland,0 +Suffern,Rockland County,New York,0 +Suffield,Hartford County,Connecticut,0 +Suffolk,Suffolk City,Virginia,0 +Suffolk,Suffolk city,Virginia,0 +Sugar City,Crowley County,Colorado,0 +Sugar City,Madison County,Idaho,0 +Sugar Grove,Kane County,Illinois,0 +Sugar Grove,Watauga County,North Carolina,0 +Sugar Grove,Fairfield County,Ohio,0 +Sugar Grove,Warren County,Pennsylvania,0 +Sugar Grove,Smyth County,Virginia,0 +Sugar Grove,Pendleton County,West Virginia,0 +Sugar Hill,Grafton County,New Hampshire,0 +Sugar Land,Fort Bend County,Texas,0 +Sugar Loaf,Orange County,New York,0 +Sugar Run,Bradford County,Pennsylvania,0 +Sugar Tree,Decatur County,Tennessee,0 +Sugar Valley,Gordon County,Georgia,0 +Sugarcreek,Tuscarawas County,Ohio,0 +Sugarloaf,San Bernardino County,California,0 +Sugarloaf,Luzerne County,Pennsylvania,0 +Sugartown,Beauregard Parish,Louisiana,0 +Suisun City,Solano County,California,0 +Suitland,Prince George's County,Maryland,0 +Sula,Ravalli County,Montana,0 +Sulligent,Lamar County,Alabama,0 +Sullivan,Moultrie County,Illinois,0 +Sullivan,Sullivan County,Indiana,0 +Sullivan,Union County,Kentucky,0 +Sullivan,Hancock County,Maine,0 +Sullivan,Franklin County,Missouri,0 +Sullivan,Cheshire County,New Hampshire,0 +Sullivan,Ashland County,Ohio,0 +Sullivan,Jefferson County,Wisconsin,0 +Sullivan City,Hidalgo County,Texas,0 +Sullivans Island,Charleston County,South Carolina,0 +Sully,Jasper County,Iowa,0 +Sulphur,Crawford County,Indiana,0 +Sulphur,Henry County,Kentucky,0 +Sulphur,Calcasieu Parish,Louisiana,0 +Sulphur,Murray County,Oklahoma,0 +Sulphur Bluff,Hopkins County,Texas,0 +Sulphur Rock,Independence County,Arkansas,0 +Sulphur Springs,Benton County,Arkansas,0 +Sulphur Springs,Henry County,Indiana,0 +Sulphur Springs,Crawford County,Ohio,0 +Sulphur Springs,Hopkins County,Texas,0 +Sultan,Snohomish County,Washington,0 +Sultana,Tulare County,California,0 +Sumas,Whatcom County,Washington,0 +Sumatra,Liberty County,Florida,0 +Sumatra,Rosebud County,Montana,0 +Sumava Resorts,Newton County,Indiana,0 +Sumerco,Lincoln County,West Virginia,0 +Sumerduck,Fauquier County,Virginia,0 +Sumiton,Walker County,Alabama,0 +Summer Lake,Lake County,Oregon,0 +Summer Shade,Metcalfe County,Kentucky,0 +Summerdale,Baldwin County,Alabama,0 +Summerdale,Cumberland County,Pennsylvania,0 +Summerfield,Marion County,Florida,0 +Summerfield,St. Clair County,Illinois,0 +Summerfield,Marshall County,Kansas,0 +Summerfield,Claiborne Parish,Louisiana,0 +Summerfield,Guilford County,North Carolina,0 +Summerfield,Noble County,Ohio,0 +Summerfield,Castro County,Texas,0 +Summerhill,Cambria County,Pennsylvania,0 +Summerland,Santa Barbara County,California,0 +Summerland Key,Monroe County,Florida,0 +Summers,Washington County,Arkansas,0 +Summersville,Green County,Kentucky,0 +Summersville,Texas County,Missouri,0 +Summersville,Nicholas County,West Virginia,0 +Summerton,Clarendon County,South Carolina,0 +Summertown,Lawrence County,Tennessee,0 +Summerville,Chattooga County,Georgia,0 +Summerville,Union County,Oregon,0 +Summerville,Jefferson County,Pennsylvania,0 +Summerville,Berkeley County,South Carolina,0 +Summerville,Dorchester County,South Carolina,0 +Summit,Marion County,Arkansas,0 +Summit,Pike County,Mississippi,0 +Summit,Union County,New Jersey,0 +Summit,Schoharie County,New York,0 +Summit,Grant County,South Dakota,0 +Summit,Iron County,Utah,0 +Summit Argo,Cook County,Illinois,0 +Summit Hill,Carbon County,Pennsylvania,0 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County,Florida,0 +Sun City,Barber County,Kansas,0 +Sun City Center,Hillsborough County,Florida,0 +Sun City West,Maricopa County,Arizona,0 +Sun Prairie,Dane County,Wisconsin,0 +Sun River,Cascade County,Montana,0 +Sun Valley,Navajo County,Arizona,0 +Sun Valley,Los Angeles County,California,0 +Sun Valley,Blaine County,Idaho,0 +Sun Valley,Washoe County,Nevada,0 +Sunapee,Sullivan County,New Hampshire,0 +Sunbright,Morgan County,Tennessee,0 +Sunburg,Kandiyohi County,Minnesota,0 +Sunburst,Toole County,Montana,0 +Sunbury,Gates County,North Carolina,0 +Sunbury,Delaware County,Ohio,0 +Sunbury,Northumberland County,Pennsylvania,0 +Suncook,Merrimack County,New Hampshire,0 +Sundance,Crook County,Wyoming,0 +Sunderland,Calvert County,Maryland,0 +Sunderland,Franklin County,Massachusetts,0 +Sundown,Hockley County,Texas,0 +Sunfield,Eaton County,Michigan,0 +Sunflower,Washington County,Alabama,0 +Sunflower,Sunflower County,Mississippi,0 +Sunland,Los Angeles County,California,0 +Sunland Park,Do�a Ana County,New Mexico,0 +Sunman,Ripley County,Indiana,0 +Sunny Side,Spalding County,Georgia,0 +Sunnyside,Queens County,New York,50 +Sunnyside,Carbon County,Utah,0 +Sunnyside,Yakima County,Washington,0 +Sunnyvale,Santa Clara County,California,0 +Sunnyvale,Dallas County,Texas,0 +Sunol,Alameda County,California,0 +Sunray,Moore County,Texas,0 +Sunrise Beach,Camden County,Missouri,0 +Sunset,St. Landry Parish,Louisiana,0 +Sunset,Hancock County,Maine,0 +Sunset,Pickens County,South Carolina,0 +Sunset,Montague County,Texas,0 +Sunset Beach,Orange County,California,0 +Sunset Beach,Brunswick County,North Carolina,0 +Sunshine,Iberville Parish,Louisiana,0 +Sunspot,Otero County,New Mexico,0 +Supai,Coconino County,Arizona,0 +Superior,Pinal County,Arizona,0 +Superior,Dickinson County,Iowa,0 +Superior,Mineral County,Montana,0 +Superior,Nuckolls County,Nebraska,0 +Superior,Douglas County,Wisconsin,0 +Superior,Sweetwater County,Wyoming,0 +Suplee,Chester County,Pennsylvania,0 +Supply,Brunswick County,North Carolina,0 +Suquamish,Kitsap County,Washington,0 +Surfside,Orange County,California,0 +Surgoinsville,Hawkins County,Tennessee,0 +Suring,Oconto County,Wisconsin,0 +Surprise,Maricopa County,Arizona,0 +Surprise,Butler County,Nebraska,0 +Surprise,Greene County,New York,0 +Surrency,Appling County,Georgia,0 +Surrey,Ward County,North Dakota,0 +Surry,Hancock County,Maine,0 +Surry,Surry County,Virginia,0 +Surveyor,Raleigh County,West Virginia,0 +Susan,Mathews County,Virginia,0 +Susanville,Lassen County,California,0 +Susquehanna,Susquehanna County,Pennsylvania,0 +Sussex,Sussex County,New Jersey,0 +Sussex,Sussex County,Virginia,0 +Sussex,Waukesha County,Wisconsin,0 +Sutersville,Westmoreland County,Pennsylvania,0 +Sutherland,O'Brien County,Iowa,0 +Sutherland,Lincoln County,Nebraska,0 +Sutherland,Dinwiddie County,Virginia,0 +Sutherland Springs,Wilson County,Texas,0 +Sutherlin,Douglas County,Oregon,0 +Sutherlin,Pittsylvania County,Virginia,0 +Sutter,Sutter County,California,0 +Sutter,Hancock County,Illinois,0 +Sutter Creek,Amador County,California,0 +Sutton,Matanuska-Susitna Borough,Alaska,0 +Sutton,Worcester County,Massachusetts,0 +Sutton,Clay County,Nebraska,0 +Sutton,Griggs County,North Dakota,0 +Sutton,Caledonia County,Vermont,0 +Sutton,Braxton County,West Virginia,0 +Suttons Bay,Leelanau County,Michigan,0 +Suwanee,Gwinnett County,Georgia,0 +Suwannee,Dixie County,Florida,0 +Swain,Allegany County,New York,0 +Swainsboro,Emanuel County,Georgia,0 +Swaledale,Cerro Gordo County,Iowa,0 +Swampscott,Essex County,Massachusetts,0 +Swan,Marion County,Iowa,0 +Swan Lake,Leflore County,Mississippi,0 +Swan Lake,Sullivan County,New York,0 +Swan River,Itasca County,Minnesota,0 +Swan Valley,Bonneville County,Idaho,0 +Swanlake,Bannock County,Idaho,0 +Swannanoa,Buncombe County,North Carolina,0 +Swanquarter,Hyde County,North Carolina,0 +Swans Island,Hancock County,Maine,0 +Swansboro,Carteret County,North Carolina,0 +Swansea,Bristol County,Massachusetts,0 +Swansea,Lexington County,South Carolina,0 +Swanton,Garrett County,Maryland,0 +Swanton,Saline County,Nebraska,0 +Swanton,Fulton County,Ohio,0 +Swanton,Franklin County,Vermont,0 +Swanville,Morrison County,Minnesota,0 +Swanzey,Cheshire County,New Hampshire,0 +Swarthmore,Delaware County,Pennsylvania,0 +Swartswood,Sussex County,New Jersey,0 +Swartz,Ouachita Parish,Louisiana,0 +Swartz Creek,Genesee County,Michigan,0 +Swatara,Aitkin County,Minnesota,0 +Swayzee,Grant County,Indiana,0 +Swea City,Kossuth County,Iowa,0 +Swedesboro,Gloucester County,New Jersey,0 +Swedesburg,Henry County,Iowa,0 +Sweeden,Edmonson County,Kentucky,0 +Sweeny,Brazoria County,Texas,0 +Sweet,Gem County,Idaho,0 +Sweet Briar,Amherst County,Virginia,0 +Sweet Grass,Toole County,Montana,0 +Sweet Home,Pulaski County,Arkansas,0 +Sweet Home,Linn County,Oregon,0 +Sweet Home,Lavaca County,Texas,0 +Sweet Springs,Saline County,Missouri,0 +Sweet Valley,Luzerne County,Pennsylvania,0 +Sweet Water,Marengo County,Alabama,0 +Sweetser,Grant County,Indiana,0 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Carolina,0 +Sycamore Valley,Monroe County,Ohio,0 +Sydney,Hillsborough County,Florida,0 +Sykeston,Wells County,North Dakota,0 +Sykesville,Carroll County,Maryland,50 +Sykesville,Jefferson County,Pennsylvania,0 +Sylacauga,Talladega County,Alabama,0 +Sylmar,Los Angeles County,California,0 +Sylva,Jackson County,North Carolina,0 +Sylvan Beach,Muskegon County,Michigan,0 +Sylvan Beach,Oneida County,New York,0 +Sylvan Grove,Lincoln County,Kansas,0 +Sylvania,DeKalb County,Alabama,0 +Sylvania,Screven County,Georgia,0 +Sylvania,Lucas County,Ohio,0 +Sylvania,Bradford County,Pennsylvania,0 +Sylvester,Worth County,Georgia,0 +Sylvester,Fisher County,Texas,0 +Sylvester,Boone County,West Virginia,0 +Sylvia,Reno County,Kansas,0 +Symsonia,Graves County,Kentucky,0 +Syosset,Nassau County,New York,0 +Syracuse,Kosciusko County,Indiana,0 +Syracuse,Hamilton County,Kansas,0 +Syracuse,Morgan County,Missouri,0 +Syracuse,Otoe County,Nebraska,0 +Syracuse,Onondaga County,New York,0 +Syracuse,Meigs County,Ohio,0 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County,Illinois,0 +Tallulah,Madison Parish,Louisiana,0 +Tallulah Falls,Rabun County,Georgia,0 +Talmage,Mendocino County,California,0 +Talmage,Dickinson County,Kansas,0 +Talmage,Otoe County,Nebraska,0 +Talmage,Lancaster County,Pennsylvania,0 +Talmage,Duchesne County,Utah,0 +Talmo,Jackson County,Georgia,0 +Talmoon,Itasca County,Minnesota,0 +Taloga,Dewey County,Oklahoma,0 +Talpa,Coleman County,Texas,0 +Tama,Tama County,Iowa,0 +Tamaqua,Schuylkill County,Pennsylvania,0 +Tamarack,Aitkin County,Minnesota,0 +Tamaroa,Perry County,Illinois,0 +Tamassee,Oconee County,South Carolina,0 +Tamiment,Pike County,Pennsylvania,0 +Tamms,Alexander County,Illinois,0 +Tampa,Hillsborough County,Florida,0 +Tampa,Marion County,Kansas,0 +Tampico,Whiteside County,Illinois,0 +Tamworth,Carroll County,New Hampshire,0 +Tanacross,Southeast Fairbanks Census Area,Alaska,0 +Tanana,Yukon-Koyukuk Census Area,Alaska,0 +Taneytown,Carroll County,Maryland,0 +Taneyville,Taney County,Missouri,0 +Tangent,Linn County,Oregon,0 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County,Illinois,0 +Taylor Springs,Montgomery County,Illinois,0 +Taylors,Greenville County,South Carolina,0 +Taylors Falls,Chisago County,Minnesota,0 +Taylors Island,Dorchester County,Maryland,0 +Taylorstown,Washington County,Pennsylvania,0 +Taylorsville,Plumas County,California,0 +Taylorsville,Bartow County,Georgia,0 +Taylorsville,Bartholomew County,Indiana,0 +Taylorsville,Spencer County,Kentucky,0 +Taylorsville,Smith County,Mississippi,0 +Taylorsville,Alexander County,North Carolina,0 +Taylorville,Christian County,Illinois,0 +Tazewell,Claiborne County,Tennessee,0 +Tazewell,Tazewell County,Virginia,0 +Tchula,Holmes County,Mississippi,0 +Tea,Lincoln County,South Dakota,0 +Teaberry,Floyd County,Kentucky,0 +Teachey,Duplin County,North Carolina,0 +Teague,Freestone County,Texas,0 +Teaneck,Bergen County,New Jersey,0 +Teasdale,Wayne County,Utah,0 +Teays,Putnam County,West Virginia,0 +Tebbetts,Callaway County,Missouri,0 +Tecate,San Diego County,California,0 +Techny,Cook County,Illinois,0 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Station,Williamson County,Tennessee,0 +Thompsontown,Juniata County,Pennsylvania,0 +Thompsonville,Franklin County,Illinois,0 +Thompsonville,Benzie County,Michigan,0 +Thompsonville,Sullivan County,New York,0 +Thomson,McDuffie County,Georgia,0 +Thomson,Carroll County,Illinois,0 +Thonotosassa,Hillsborough County,Florida,0 +Thor,Humboldt County,Iowa,0 +Thoreau,McKinley County,New Mexico,0 +Thorn Hill,Grainger County,Tennessee,0 +Thornburg,Keokuk County,Iowa,0 +Thornburg,Spotsylvania County,Virginia,0 +Thorndale,Chester County,Pennsylvania,0 +Thorndale,Milam County,Texas,0 +Thorndike,Waldo County,Maine,0 +Thorndike,Hampden County,Massachusetts,0 +Thorne Bay,Prince of Wales-Hyder Census Area,Alaska,0 +Thornfield,Ozark County,Missouri,0 +Thornton,Calhoun County,Arkansas,0 +Thornton,San Joaquin County,California,0 +Thornton,Adams County,Colorado,0 +Thornton,Cook County,Illinois,0 +Thornton,Cerro Gordo County,Iowa,0 +Thornton,Letcher County,Kentucky,0 +Thornton,Grafton County,New Hampshire,0 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County,California,0 +Tipton,Tipton County,Indiana,0 +Tipton,Cedar County,Iowa,0 +Tipton,Mitchell County,Kansas,0 +Tipton,Lenawee County,Michigan,0 +Tipton,Moniteau County,Missouri,0 +Tipton,Tillman County,Oklahoma,0 +Tipton,Blair County,Pennsylvania,0 +Tipton,Tipton County,Tennessee,0 +Tiptonville,Lake County,Tennessee,0 +Tire Hill,Somerset County,Pennsylvania,0 +Tiro,Crawford County,Ohio,0 +Tisch Mills,Manitowoc County,Wisconsin,0 +Tishomingo,Tishomingo County,Mississippi,0 +Tishomingo,Johnston County,Oklahoma,0 +Tiskilwa,Bureau County,Illinois,0 +Titonka,Kossuth County,Iowa,0 +Titus,Elmore County,Alabama,0 +Titusville,Brevard County,Florida,0 +Titusville,Mercer County,New Jersey,0 +Titusville,Crawford County,Pennsylvania,0 +Tiverton,Newport County,Rhode Island,0 +Tivoli,Dutchess County,New York,0 +Tivoli,Refugio County,Texas,0 +Toa Alta,Toa Alta,Puerto Rico,0 +Toa Alta,Toa Alta Municipio,Puerto Rico,0 +Toa Baja,Dorado Municipio,Puerto Rico,0 +Toa Baja,Toa Baja Municipio,Puerto Rico,0 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County,Washington,0 +Tolland,Tolland County,Connecticut,0 +Tollesboro,Lewis County,Kentucky,0 +Tolleson,Maricopa County,Arizona,0 +Tolley,Renville County,North Dakota,0 +Tollhouse,Fresno County,California,0 +Tolna,Nelson County,North Dakota,0 +Tolono,Champaign County,Illinois,0 +Tolovana Park,Clatsop County,Oregon,0 +Tolstoy,Potter County,South Dakota,0 +Tolu,Crittenden County,Kentucky,0 +Toluca,Marshall County,Illinois,0 +Toluca Lake,Los Angeles County,California,0 +Tom Bean,Grayson County,Texas,0 +Tomah,Monroe County,Wisconsin,0 +Tomahawk,Martin County,Kentucky,0 +Tomahawk,Lincoln County,Wisconsin,0 +Tomales,Marin County,California,0 +Tomball,Harris County,Texas,0 +Tombstone,Cochise County,Arizona,0 +Tome,Valencia County,New Mexico,0 +Tomkins Cove,Rockland County,New York,0 +Tompkinsville,Monroe County,Kentucky,0 +Toms Brook,Shenandoah County,Virginia,0 +Toms River,Ocean County,New Jersey,0 +Tonalea,San Juan County,Arizona,0 +Tonasket,Okanogan County,Washington,0 +Tonawanda,Erie County,New York,0 +Toney,Madison County,Alabama,0 +Tonganoxie,Leavenworth County,Kansas,0 +Tonica,LaSalle County,Illinois,0 +Tonkawa,Noble County,Oklahoma,0 +Tonopah,Maricopa County,Arizona,0 +Tonopah,Nye County,Nevada,0 +Tontitown,Washington County,Arkansas,0 +Tonto Basin,Gila County,Arizona,0 +Tontogany,Wood County,Ohio,0 +Tony,Rusk County,Wisconsin,0 +Tooele,Tooele County,Utah,0 +Toomsboro,Wilkinson County,Georgia,0 +Toomsuba,Lauderdale County,Mississippi,0 +Toone,Hardeman County,Tennessee,0 +Topanga,Los Angeles County,California,0 +Topawa,Pima County,Arizona,0 +Topaz,Mono County,California,0 +Topeka,Mason County,Illinois,0 +Topeka,LaGrange County,Indiana,0 +Topeka,,Kansas,0 +Topeka,Shawnee County,Kansas,0 +Topinabee,Cheboygan County,Michigan,0 +Topmost,Knott County,Kentucky,0 +Topock,Mohave County,Arizona,0 +Toponas,Routt County,Colorado,0 +Toppenish,Yakima County,Washington,0 +Topping,Middlesex County,Virginia,0 +Topsfield,Washington County,Maine,0 +Topsfield,Essex County,Massachusetts,0 +Topsham,Sagadahoc County,Maine,0 +Topsham,Orange County,Vermont,0 +Topton,Macon County,North Carolina,0 +Topton,Berks County,Pennsylvania,0 +Toquerville,Washington County,Utah,0 +Tornado,Kanawha County,West Virginia,0 +Tornillo,El Paso County,Texas,0 +Toronto,Woodson County,Kansas,0 +Toronto,Jefferson County,Ohio,0 +Toronto,Deuel County,South Dakota,0 +Torrance,Los Angeles County,California,0 +Torrance,Westmoreland County,Pennsylvania,0 +Torreon,Torrance County,New Mexico,0 +Torrey,Wayne County,Utah,0 +Torrington,Litchfield County,Connecticut,0 +Torrington,Goshen County,Wyoming,0 +Tortilla Flat,Maricopa County,Arizona,0 +Toston,Broadwater County,Montana,0 +Totowa,Passaic County,New Jersey,0 +Totz,Harlan County,Kentucky,0 +Touchet,Walla Walla County,Washington,0 +Tougaloo,Madison County,Mississippi,0 +Toughkenamon,Chester County,Pennsylvania,0 +Toulon,Stark County,Illinois,0 +Toutle,Cowlitz County,Washington,0 +Tovey,Christian County,Illinois,0 +Tow,Llano County,Texas,0 +Towaco,Morris County,New Jersey,0 +Towanda,McLean County,Illinois,0 +Towanda,Butler County,Kansas,0 +Towanda,Bradford County,Pennsylvania,0 +Towaoc,Montezuma County,Colorado,0 +Tower,Cheboygan County,Michigan,0 +Tower,St. Louis County,Minnesota,0 +Tower City,Cass County,North Dakota,0 +Tower City,Schuylkill County,Pennsylvania,0 +Tower Hill,Shelby County,Illinois,0 +Town Creek,Lawrence County,Alabama,0 +Towner,McHenry County,North Dakota,0 +Townley,Walker County,Alabama,0 +Townsend,New Castle County,Delaware,0 +Townsend,McIntosh County,Georgia,0 +Townsend,Middlesex County,Massachusetts,0 +Townsend,Broadwater County,Montana,0 +Townsend,Blount County,Tennessee,0 +Townsend,Northampton County,Virginia,0 +Townsend,Oconto County,Wisconsin,0 +Townshend,Windham County,Vermont,0 +Township Of Washington,Bergen County,New Jersey,0 +Townsville,Vance County,North Carolina,0 +Townville,Crawford County,Pennsylvania,0 +Townville,Anderson County,South Carolina,0 +Towson,Baltimore County,Maryland,0 +Toxey,Choctaw County,Alabama,0 +Toyah,Reeves County,Texas,0 +Toyahvale,Reeves County,Texas,0 +Trabuco Canyon,Orange County,California,0 +Tracy,San Joaquin County,California,0 +Tracy,Marion County,Iowa,0 +Tracy,Lyon County,Minnesota,0 +Tracy City,Grundy County,Tennessee,0 +Tracys Landing,Anne Arundel County,Maryland,0 +Tracyton,Kitsap County,Washington,0 +Trade,Johnson County,Tennessee,0 +Traer,Tama County,Iowa,0 +Trafalgar,Johnson County,Indiana,0 +Trafford,Blount County,Alabama,0 +Trafford,Westmoreland County,Pennsylvania,0 +Trail,Polk County,Minnesota,0 +Trail,Jackson County,Oregon,0 +Trail City,Dewey County,South Dakota,0 +Tram,Floyd County,Kentucky,0 +Trampas,Taos County,New Mexico,0 +Tranquility,Sussex County,New Jersey,0 +Tranquillity,Fresno County,California,0 +Transfer,Mercer County,Pennsylvania,0 +Transylvania,East Carroll Parish,Louisiana,0 +Traphill,Wilkes County,North Carolina,0 +Trappe,Talbot County,Maryland,0 +Trapper Creek,Matanuska-Susitna Borough,Alaska,0 +Traskwood,Saline County,Arkansas,0 +Travelers Rest,Greenville County,South Carolina,0 +Traver,Tulare County,California,0 +Traverse City,Grand Traverse County,Michigan,0 +Travis Afb,Solano County,California,0 +Treadwell,Delaware County,New York,0 +Trebloc,Chickasaw County,Mississippi,0 +Treece,Cherokee County,Kansas,0 +Trego,Lincoln County,Montana,0 +Trego,Washburn County,Wisconsin,0 +Treichlers,Northampton County,Pennsylvania,0 +Treloar,Warren County,Missouri,0 +Trementina,San Miguel County,New Mexico,0 +Tremont,Tazewell County,Illinois,0 +Tremont,Itawamba County,Mississippi,0 +Tremont,Schuylkill County,Pennsylvania,0 +Tremont City,Clark County,Ohio,0 +Tremonton,Box Elder County,Utah,0 +Trempealeau,Trempealeau County,Wisconsin,0 +Trenary,Alger County,Michigan,0 +Trent,Moody County,South Dakota,0 +Trent,Taylor County,Texas,0 +Trenton,Jackson County,Alabama,0 +Trenton,Gilchrist County,Florida,0 +Trenton,Dade County,Georgia,0 +Trenton,Clinton County,Illinois,0 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County,Utah,0 +Trosky,Pipestone County,Minnesota,0 +Trosper,Knox County,Kentucky,0 +Troup,Smith County,Texas,0 +Troupsburg,Steuben County,New York,0 +Trout,La Salle Parish,Louisiana,0 +Trout Creek,Ontonagon County,Michigan,0 +Trout Creek,Sanders County,Montana,0 +Trout Creek,Delaware County,New York,0 +Trout Lake,Chippewa County,Michigan,0 +Trout Lake,Klickitat County,Washington,0 +Trout Run,Lycoming County,Pennsylvania,0 +Troutdale,Multnomah County,Oregon,0 +Troutdale,Grayson County,Virginia,0 +Troutman,Iredell County,North Carolina,0 +Troutville,Clearfield County,Pennsylvania,0 +Troutville,Botetourt County,Virginia,0 +Troxelville,Snyder County,Pennsylvania,0 +Troy,Pike County,Alabama,0 +Troy,Latah County,Idaho,0 +Troy,Madison County,Illinois,0 +Troy,Perry County,Indiana,0 +Troy,Doniphan County,Kansas,0 +Troy,Waldo County,Maine,0 +Troy,Oakland County,Michigan,0 +Troy,Lincoln County,Missouri,0 +Troy,Lincoln County,Montana,0 +Troy,Cheshire County,New Hampshire,0 +Troy,Albany County,New York,0 +Troy,Rensselaer County,New York,0 +Troy,Montgomery County,North Carolina,0 +Troy,Miami County,Ohio,0 +Troy,Bradford County,Pennsylvania,0 +Troy,Greenwood County,South Carolina,0 +Troy,Obion County,Tennessee,0 +Troy,Bell County,Texas,0 +Troy,Orleans County,Vermont,0 +Troy,Fluvanna County,Virginia,0 +Troy,Gilmer County,West Virginia,0 +Troy Grove,LaSalle County,Illinois,0 +Troy Mills,Linn County,Iowa,0 +Truchas,Rio Arriba County,New Mexico,0 +Truckee,Nevada County,California,0 +Truckee,Placer County,California,0 +Truesdale,Buena Vista County,Iowa,0 +Truesdale,Warren County,Missouri,0 +Trufant,Montcalm County,Michigan,0 +Trujillo Alto,,Puerto Rico,0 +Trujillo Alto,Trujillo Alto Municipio,Puerto Rico,0 +Truman,Martin County,Minnesota,0 +Trumann,Poinsett County,Arkansas,0 +Trumansburg,Tompkins County,New York,0 +Trumbauersville,Bucks County,Pennsylvania,0 +Trumbull,Fairfield County,Connecticut,0 +Trumbull,Clay County,Nebraska,0 +Truro,Madison County,Iowa,0 +Truro,Barnstable County,Massachusetts,0 +Trussville,Jefferson County,Alabama,0 +Truth Or Consequences,Sierra County,New Mexico,0 +Truxton,Warren County,Missouri,0 +Truxton,Cortland County,New York,0 +Tryon,McPherson County,Nebraska,0 +Tryon,Polk County,North Carolina,0 +Tryon,Lincoln County,Oklahoma,0 +Tsaile,Apache County,Arizona,0 +Tualatin,Washington County,Oregon,0 +Tuba City,Coconino County,Arizona,0 +Tubac,Santa Cruz County,Arizona,0 +Tuckahoe,Cape May County,New Jersey,0 +Tuckahoe,Westchester County,New York,0 +Tuckasegee,Jackson County,North Carolina,0 +Tucker,Jefferson County,Arkansas,0 +Tucker,DeKalb County,Georgia,0 +Tucker,Dekalb County,Georgia,0 +Tuckerman,Jackson County,Arkansas,0 +Tuckerton,Ocean County,New Jersey,0 +Tucson,Pima County,Arizona,0 +Tucson,Pinal County,Arizona,0 +Tucumcari,Quay County,New Mexico,0 +Tujunga,Los Angeles County,California,0 +Tula,Lafayette County,Mississippi,0 +Tulare,Tulare County,California,0 +Tulare,Spink County,South Dakota,0 +Tularosa,Otero County,New Mexico,0 +Tulelake,Siskiyou County,California,0 +Tuleta,Bee County,Texas,0 +Tulia,Swisher County,Texas,0 +Tullahoma,Coffee County,Tennessee,0 +Tullos,La Salle Parish,Louisiana,0 +Tully,Onondaga County,New York,0 +Tulsa,Creek County,Oklahoma,0 +Tulsa,Tulsa County,Oklahoma,0 +Tuluksak,Bethel Census Area,Alaska,0 +Tumacacori,Santa Cruz County,Arizona,0 +Tumbling Shoals,Cleburne County,Arkansas,0 +Tumtum,Stevens County,Washington,0 +Tumwater,Thurston County,Washington,0 +Tunas,Dallas County,Missouri,0 +Tunbridge,Orange County,Vermont,0 +Tunica,West Feliciana Parish,Louisiana,0 +Tunica,Tunica County,Mississippi,0 +Tunkhannock,Wyoming County,Pennsylvania,0 +Tunnel,Broome County,New York,0 +Tunnel City,Monroe County,Wisconsin,0 +Tunnel Hill,Whitfield County,Georgia,0 +Tunnelton,Lawrence County,Indiana,0 +Tunnelton,Preston County,West Virginia,0 +Tuntutuliak,Bethel Census Area,Alaska,0 +Tununak,Bethel Census Area,Alaska,0 +Tuolumne,Tuolumne County,California,0 +Tupelo,Jackson County,Arkansas,0 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County,Oklahoma,0 +Tutwiler,Tallahatchie County,Mississippi,0 +Tuxedo,Henderson County,North Carolina,0 +Tuxedo Park,Orange County,New York,0 +Twain,Plumas County,California,0 +Twain Harte,Tuolumne County,California,0 +Twelve Mile,Cass County,Indiana,0 +Twentynine Palms,San Bernardino County,California,0 +Twig,St Louis County,Minnesota,0 +Twilight,Boone County,West Virginia,0 +Twin Bridges,El Dorado County,California,0 +Twin Bridges,Madison County,Montana,0 +Twin Brooks,Grant County,South Dakota,0 +Twin City,Emanuel County,Georgia,0 +Twin Falls,Twin Falls County,Idaho,0 +Twin Lake,Muskegon County,Michigan,0 +Twin Lakes,Lake County,Colorado,0 +Twin Lakes,Freeborn County,Minnesota,0 +Twin Lakes,Kenosha County,Wisconsin,0 +Twin Mountain,Coos County,New Hampshire,0 +Twin Oaks,Delaware County,Oklahoma,0 +Twin Peaks,San Bernardino County,California,0 +Twin Rocks,Cambria County,Pennsylvania,0 +Twin Valley,Norman County,Minnesota,0 +Twining,Arenac County,Michigan,0 +Twinsburg,Summit County,Ohio,0 +Twisp,Okanogan County,Washington,0 +Two Buttes,Baca County,Colorado,0 +Two Dot,Wheatland County,Montana,0 +Two Harbors,Lake County,Minnesota,0 +Two Rivers,Fairbanks North Star Borough,Alaska,0 +Two Rivers,Manitowoc County,Wisconsin,0 +Ty Ty,Tift County,Georgia,0 +Tyaskin,Wicomico County,Maryland,0 +Tybee Island,Chatham County,Georgia,0 +Tye,Taylor County,Texas,0 +Tygh Valley,Wasco County,Oregon,0 +Tyler,Lowndes County,Alabama,0 +Tyler,Lincoln County,Minnesota,0 +Tyler,Smith County,Texas,0 +Tyler Hill,Wayne County,Pennsylvania,0 +Tylersburg,Clarion County,Pennsylvania,0 +Tylersport,Montgomery County,Pennsylvania,0 +Tylersville,Clinton County,Pennsylvania,0 +Tylerton,Somerset County,Maryland,0 +Tylertown,Walthall County,Mississippi,0 +Tynan,Bee County,Texas,0 +Tyndall,Bon Homme County,South Dakota,0 +Tyner,Marshall County,Indiana,0 +Tyner,Jackson County,Kentucky,0 +Tyner,Chowan County,North Carolina,0 +Tyngsboro,Middlesex County,Massachusetts,0 +Tyonek,Kenai Peninsula Borough,Alaska,0 +Tyringham,Berkshire County,Massachusetts,0 +Tyro,Montgomery County,Kansas,0 +Tyro,Nelson County,Virginia,0 +Tyrone,Fayette County,Georgia,0 +Tyrone,Grant County,New Mexico,0 +Tyrone,Schuyler County,New York,0 +Tyrone,Texas County,Oklahoma,0 +Tyrone,Blair County,Pennsylvania,0 +Tyronza,Poinsett County,Arkansas,0 +U S A F Academy,El Paso County,Colorado,0 +Ubly,Huron County,Michigan,0 +Ucon,Bonneville County,Idaho,0 +Udall,Cowley County,Kansas,0 +Udall,Ozark County,Missouri,0 +Udell,Appanoose County,Iowa,0 +Uehling,Dodge County,Nebraska,0 +Uhrichsville,Tuscarawas County,Ohio,0 +Ukiah,Mendocino County,California,0 +Ukiah,Umatilla County,Oregon,0 +Uledi,Fayette County,Pennsylvania,0 +Ulen,Clay County,Minnesota,0 +Ullin,Pulaski County,Illinois,0 +Ulm,Prairie County,Arkansas,0 +Ulm,Cascade County,Montana,0 +Ulman,Miller County,Missouri,0 +Ulmer,Allendale County,South Carolina,0 +Ulster,Bradford County,Pennsylvania,0 +Ulster Park,Ulster County,New York,0 +Ulysses,Grant County,Kansas,0 +Ulysses,Lawrence County,Kentucky,0 +Ulysses,Butler County,Nebraska,0 +Ulysses,Potter County,Pennsylvania,0 +Umatilla,Lake County,Florida,0 +Umatilla,Umatilla County,Oregon,0 +Umbarger,Randall County,Texas,0 +Umpire,Howard County,Arkansas,0 +Umpqua,Douglas County,Oregon,0 +Una,Spartanburg County,South Carolina,0 +Unadilla,Dooly County,Georgia,0 +Unadilla,Otoe County,Nebraska,0 +Unadilla,Otsego County,New York,0 +Unalakleet,Nome Census Area,Alaska,0 +Unalaska,Aleutians West Census Area,Alaska,0 +Uncasville,New London County,Connecticut,0 +Uncle Sam,St James Parish,Louisiana,0 +Underhill,Chittenden County,Vermont,0 +Underhill Center,Chittenden County,Vermont,0 +Underwood,Clark County,Indiana,0 +Underwood,Pottawattamie County,Iowa,0 +Underwood,Otter Tail County,Minnesota,0 +Underwood,McLean County,North Dakota,0 +Underwood,Skamania County,Washington,0 +Uneeda,Boone County,West Virginia,0 +Unicoi,Unicoi County,Tennessee,0 +Union,McHenry County,Illinois,0 +Union,Hardin County,Iowa,0 +Union,Boone County,Kentucky,0 +Union,Knox County,Maine,0 +Union,Cass County,Michigan,0 +Union,Neshoba County,Mississippi,0 +Union,Franklin County,Missouri,0 +Union,Cass County,Nebraska,0 +Union,Strafford County,New Hampshire,0 +Union,Union County,New Jersey,0 +Union,Union County,Oregon,0 +Union,Union County,South Carolina,0 +Union,Mason County,Washington,0 +Union,Monroe County,West Virginia,0 +Union Bridge,Carroll County,Maryland,0 +Union Center,Meade County,South Dakota,0 +Union Center,Juneau County,Wisconsin,0 +Union Church,Jefferson County,Mississippi,0 +Union City,Alameda County,California,0 +Union City,Fulton County,Georgia,0 +Union City,Randolph County,Indiana,0 +Union City,Branch County,Michigan,0 +Union City,Hudson County,New Jersey,0 +Union City,Darke County,Ohio,0 +Union City,Canadian County,Oklahoma,0 +Union City,Erie County,Pennsylvania,0 +Union City,Obion County,Tennessee,0 +Union Dale,Susquehanna County,Pennsylvania,0 +Union Furnace,Hocking County,Ohio,0 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Municipio,Puerto Rico,0 +Barnes County,North Dakota,0 +Barnstable County,Massachusetts,0 +Barnwell County,South Carolina,0 +Barranquitas Municipio,Puerto Rico,0 +Barren County,Kentucky,0 +Barron County,Wisconsin,0 +Barrow County,Georgia,0 +Barry County,Michigan,0 +Barry County,Missouri,0 +Bartholomew County,Indiana,0 +Barton County,Kansas,0 +Barton County,Missouri,0 +Bartow County,Georgia,0 +Bastrop County,Texas,0 +Bates County,Missouri,0 +Bath County,Kentucky,0 +Bath County,Virginia,0 +Baxter County,Arkansas,0 +Bay County,Florida,0 +Bay County,Michigan,0 +Bayamon,Puerto Rico,0 +Bayamon Municipio,Puerto Rico,0 +Bayfield County,Wisconsin,0 +Baylor County,Texas,0 +Beadle County,South Dakota,0 +Bear Lake County,Idaho,0 +Beaufort County,North Carolina,0 +Beaufort County,South Carolina,0 +Beauregard Parish,Louisiana,0 +Beaver County,Oklahoma,0 +Beaver County,Pennsylvania,0 +Beaver County,Utah,0 +Beaverhead County,Montana,0 +Becker County,Minnesota,0 +Beckham County,Oklahoma,0 +Bedford 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County,Texas,0 +Bosque County,Texas,0 +Bossier Parish,Louisiana,0 +Botetourt County,Virginia,0 +Bottineau County,North Dakota,0 +Boulder County,Colorado,0 +Boundary County,Idaho,0 +Bourbon County,Kansas,0 +Bourbon County,Kentucky,0 +Bowie County,Texas,0 +Bowman County,North Dakota,0 +Box Butte County,Nebraska,0 +Box Elder County,Utah,0 +Boyd County,Kentucky,0 +Boyd County,Nebraska,0 +Boyle County,Kentucky,0 +Bracken County,Kentucky,0 +Bradford County,Florida,0 +Bradford County,Pennsylvania,0 +Bradley County,Arkansas,0 +Bradley County,Tennessee,0 +Branch County,Michigan,0 +Brantley County,Georgia,0 +Braxton County,West Virginia,0 +Brazoria County,Texas,0 +Brazos County,Texas,0 +Breathitt County,Kentucky,0 +Breckinridge County,Kentucky,0 +Bremer County,Iowa,0 +Brevard County,Florida,0 +Brewster County,Texas,0 +Briscoe County,Texas,0 +Bristol Bay Borough,Alaska,0 +Bristol City,Virginia,0 +Bristol County,Massachusetts,0 +Bristol County,Rhode Island,0 +Bristol city,Virginia,0 +Broadwater County,Montana,0 +Bronx County,New York,0 +Brooke County,West Virginia,0 +Brookings County,South Dakota,0 +Brooks County,Georgia,0 +Brooks County,Texas,0 +Broome County,New York,0 +Broomfield County,Colorado,0 +Broward County,Florida,0 +Brown County,Illinois,0 +Brown County,Indiana,0 +Brown County,Kansas,0 +Brown County,Minnesota,0 +Brown County,Nebraska,0 +Brown County,Ohio,0 +Brown County,South Dakota,0 +Brown County,Texas,0 +Brown County,Wisconsin,0 +Brule County,South Dakota,0 +Brunswick County,North Carolina,0 +Brunswick County,Virginia,0 +Bryan County,Georgia,0 +Bryan County,Oklahoma,0 +Buchanan County,Iowa,0 +Buchanan County,Missouri,0 +Buchanan County,Virginia,0 +Buckingham County,Virginia,0 +Bucks County,Pennsylvania,0 +Buena Vista County,Iowa,0 +Buena Vista city,Virginia,0 +Buffalo County,Nebraska,0 +Buffalo County,South Dakota,0 +Buffalo County,Wisconsin,0 +Bullitt County,Kentucky,0 +Bulloch County,Georgia,0 +Bullock County,Alabama,0 +Buncombe County,North Carolina,0 +Bureau 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of Juneau,Alaska,0 +Clackamas County,Oregon,0 +Claiborne County,Mississippi,0 +Claiborne County,Tennessee,0 +Claiborne Parish,Louisiana,0 +Clallam County,Washington,0 +Clare County,Michigan,0 +Clarendon County,South Carolina,0 +Clarion County,Pennsylvania,0 +Clark County,Arkansas,0 +Clark County,Idaho,0 +Clark County,Illinois,0 +Clark County,Indiana,0 +Clark County,Kansas,0 +Clark County,Kentucky,0 +Clark County,Missouri,0 +Clark County,Nevada,0 +Clark County,Ohio,0 +Clark County,South Dakota,0 +Clark County,Washington,0 +Clark County,Wisconsin,0 +Clarke County,Alabama,0 +Clarke County,Georgia,0 +Clarke County,Iowa,0 +Clarke County,Mississippi,0 +Clarke County,Virginia,0 +Clatsop County,Oregon,0 +Clay County,Alabama,0 +Clay County,Arkansas,0 +Clay County,Florida,0 +Clay County,Georgia,0 +Clay County,Illinois,0 +Clay County,Indiana,0 +Clay County,Iowa,0 +Clay County,Kansas,0 +Clay County,Kentucky,0 +Clay County,Minnesota,0 +Clay County,Mississippi,0 +Clay County,Missouri,0 +Clay 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County,Texas,0 +Concordia Parish,Louisiana,0 +Conecuh County,Alabama,0 +Conejos County,Colorado,0 +Contra Costa County,California,0 +Converse County,Wyoming,0 +Conway County,Arkansas,0 +Cook County,Georgia,0 +Cook County,Illinois,0 +Cook County,Minnesota,0 +Cooke County,Texas,0 +Cooper County,Missouri,0 +Coos County,New Hampshire,0 +Coos County,Oregon,0 +Coosa County,Alabama,0 +Copiah County,Mississippi,0 +Corozal Municipio,Puerto Rico,0 +Corson County,South Dakota,0 +Cortland County,New York,0 +Coryell County,Texas,0 +Coshocton County,Ohio,0 +Costilla County,Colorado,0 +Cottle County,Texas,0 +Cotton County,Oklahoma,0 +Cottonwood County,Minnesota,0 +Covington County,Alabama,0 +Covington County,Mississippi,0 +Coweta County,Georgia,0 +Cowley County,Kansas,0 +Cowlitz County,Washington,0 +Coös County,New Hampshire,0 +Craig County,Oklahoma,0 +Craig County,Virginia,0 +Craighead County,Arkansas,0 +Crane County,Texas,0 +Craven County,North Carolina,0 +Crawford County,Arkansas,0 +Crawford 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County,Kansas,0 +Ellis County,Oklahoma,0 +Ellis County,Texas,0 +Ellsworth County,Kansas,0 +Elmore County,Alabama,0 +Elmore County,Idaho,0 +Emanuel County,Georgia,0 +Emery County,Utah,0 +Emmet County,Iowa,0 +Emmet County,Michigan,0 +Emmons County,North Dakota,0 +Erath County,Texas,0 +Erie County,New York,0 +Erie County,Ohio,0 +Erie County,Pennsylvania,0 +Escambia County,Alabama,0 +Escambia County,Florida,0 +Esmeralda County,Nevada,0 +Essex County,Massachusetts,0 +Essex County,New Jersey,0 +Essex County,New York,0 +Essex County,Vermont,0 +Essex County,Virginia,0 +Estill County,Kentucky,0 +Etowah County,Alabama,0 +Eureka County,Nevada,0 +Evangeline Parish,Louisiana,0 +Evans County,Georgia,0 +Fairbanks North Star Borough,Alaska,0 +Fairfax City,Virginia,0 +Fairfax County,Virginia,50 +Fairfield County,Connecticut,0 +Fairfield County,Ohio,0 +Fairfield County,South Carolina,0 +Fajardo Municipio,Puerto Rico,0 +Fall River County,South Dakota,0 +Fallon County,Montana,0 +Falls Church 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County,California,0 +Kings County,New York,0 +Kingsbury County,South Dakota,0 +Kinney County,Texas,0 +Kiowa County,Colorado,0 +Kiowa County,Kansas,0 +Kiowa County,Oklahoma,0 +Kit Carson County,Colorado,0 +Kitsap County,Washington,0 +Kittitas County,Washington,0 +Kittson County,Minnesota,0 +Klamath County,Oregon,0 +Kleberg County,Texas,0 +Klickitat County,Washington,0 +Knott County,Kentucky,0 +Knox County,Illinois,0 +Knox County,Indiana,0 +Knox County,Kentucky,0 +Knox County,Maine,0 +Knox County,Missouri,0 +Knox County,Nebraska,0 +Knox County,Ohio,0 +Knox County,Tennessee,0 +Knox County,Texas,0 +Kodiak Island Borough,Alaska,0 +Koochiching County,Minnesota,0 +Kootenai County,Idaho,0 +Kosciusko County,Indiana,0 +Kossuth County,Iowa,0 +La Crosse County,Wisconsin,0 +La Paz County,Arizona,0 +La Plata County,Colorado,0 +La Porte County,Indiana,0 +La Salle County,Illinois,0 +La Salle County,Texas,0 +La Salle Parish,Louisiana,0 +LaGrange County,Indiana,0 +LaMoure County,North Dakota,0 +LaPorte County,Indiana,0 +LaSalle County,Illinois,0 +Labette County,Kansas,0 +Lac qui Parle County,Minnesota,0 +Lackawanna County,Pennsylvania,0 +Laclede County,Missouri,0 +Lafayette County,Arkansas,0 +Lafayette County,Florida,0 +Lafayette County,Mississippi,0 +Lafayette County,Missouri,0 +Lafayette County,Wisconsin,0 +Lafayette Parish,Louisiana,0 +Lafourche Parish,Louisiana,0 +Lagrange County,Indiana,0 +Lajas Municipio,Puerto Rico,0 +Lake County,California,0 +Lake County,Colorado,0 +Lake County,Florida,0 +Lake County,Illinois,100 +Lake County,Indiana,0 +Lake County,Michigan,0 +Lake County,Minnesota,0 +Lake County,Montana,0 +Lake County,Ohio,0 +Lake County,Oregon,0 +Lake County,South Dakota,0 +Lake County,Tennessee,0 +Lake and Peninsula Borough,Alaska,0 +Lake of the Woods County,Minnesota,0 +Lamar County,Alabama,0 +Lamar County,Georgia,0 +Lamar County,Mississippi,0 +Lamar County,Texas,0 +Lamb County,Texas,0 +Lamoille County,Vermont,0 +Lampasas County,Texas,0 +Lancaster County,Nebraska,0 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County,Michigan,0 +Mason County,Texas,0 +Mason County,Washington,0 +Mason County,West Virginia,0 +Massac County,Illinois,0 +Matagorda County,Texas,0 +Matanuska-Susitna Borough,Alaska,0 +Mathews County,Virginia,0 +Maui County,Hawaii,0 +Maunabo Municipio,Puerto Rico,0 +Maury County,Tennessee,0 +Maverick County,Texas,0 +Mayaguez Municipio,Puerto Rico,0 +Mayes County,Oklahoma,0 +McClain County,Oklahoma,0 +McCone County,Montana,0 +McCook County,South Dakota,0 +McCormick County,South Carolina,0 +McCracken County,Kentucky,0 +McCreary County,Kentucky,0 +McCulloch County,Texas,0 +McCurtain County,Oklahoma,0 +McDonald County,Missouri,0 +McDonough County,Illinois,0 +McDowell County,North Carolina,0 +McDowell County,Virginia,0 +McDowell County,West Virginia,0 +McDuffie County,Georgia,0 +McHenry County,Illinois,0 +McHenry County,North Dakota,0 +McIntosh County,Georgia,0 +McIntosh County,North Dakota,0 +McIntosh County,Oklahoma,0 +McKean County,Pennsylvania,0 +McKenzie County,North Dakota,0 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County,Kentucky,0 +Menominee County,Michigan,0 +Menominee County,Wisconsin,0 +Merced County,California,0 +Mercer County,Illinois,0 +Mercer County,Kentucky,0 +Mercer County,Missouri,0 +Mercer County,New Jersey,0 +Mercer County,North Dakota,0 +Mercer County,Ohio,0 +Mercer County,Pennsylvania,0 +Mercer County,West Virginia,0 +Meriwether County,Georgia,0 +Merrick County,Nebraska,0 +Merrimack County,New Hampshire,0 +Mesa County,Colorado,0 +Metcalfe County,Kentucky,0 +Miami County,Indiana,0 +Miami County,Kansas,0 +Miami County,Ohio,0 +Miami-Dade County,Florida,0 +Middlesex County,Connecticut,0 +Middlesex County,Massachusetts,0 +Middlesex County,New Jersey,150 +Middlesex County,Virginia,0 +Midland County,Michigan,0 +Midland County,Texas,0 +Mifflin County,Pennsylvania,0 +Milam County,Texas,0 +Millard County,Utah,0 +Mille Lacs County,Minnesota,0 +Miller County,Arkansas,0 +Miller County,Georgia,0 +Miller County,Missouri,0 +Mills County,Iowa,0 +Mills County,Texas,0 +Milwaukee County,Wisconsin,0 +Miner County,South Dakota,0 +Mineral County,Colorado,0 +Mineral County,Maryland,0 +Mineral County,Montana,0 +Mineral County,Nevada,0 +Mineral County,West Virginia,0 +Mingo County,West Virginia,0 +Minidoka County,Idaho,0 +Minnehaha County,South Dakota,0 +Missaukee County,Michigan,0 +Mississippi County,Arkansas,0 +Mississippi County,Missouri,0 +Missoula County,Montana,0 +Mitchell County,Georgia,0 +Mitchell County,Iowa,0 +Mitchell County,Kansas,0 +Mitchell County,North Carolina,0 +Mitchell County,Texas,0 +Mobile County,Alabama,0 +Moca Municipio,Puerto Rico,0 +Modoc County,California,0 +Modoc County,Oregon,0 +Moffat County,Colorado,0 +Mohave County,Arizona,0 +Moniteau County,Missouri,0 +Monmouth County,New Jersey,0 +Mono County,California,0 +Monona County,Iowa,0 +Monongalia County,Pennsylvania,0 +Monongalia County,West Virginia,0 +Monroe County,Alabama,0 +Monroe County,Arkansas,0 +Monroe County,Florida,0 +Monroe County,Georgia,0 +Monroe County,Illinois,0 +Monroe County,Indiana,0 +Monroe County,Iowa,0 +Monroe County,Kentucky,0 +Monroe County,Michigan,0 +Monroe County,Mississippi,0 +Monroe County,Missouri,0 +Monroe County,New York,50 +Monroe County,Ohio,0 +Monroe County,Pennsylvania,0 +Monroe County,Tennessee,0 +Monroe County,West Virginia,0 +Monroe County,Wisconsin,0 +Montague County,Texas,0 +Montcalm County,Michigan,0 +Monterey County,California,0 +Montezuma County,Colorado,0 +Montgomery County,Alabama,0 +Montgomery County,Arkansas,0 +Montgomery County,Georgia,0 +Montgomery County,Illinois,0 +Montgomery County,Indiana,0 +Montgomery County,Iowa,0 +Montgomery County,Kansas,0 +Montgomery County,Kentucky,0 +Montgomery County,Maryland,0 +Montgomery County,Mississippi,0 +Montgomery County,Missouri,0 +Montgomery County,New York,0 +Montgomery County,North Carolina,0 +Montgomery County,Ohio,0 +Montgomery County,Pennsylvania,0 +Montgomery County,Tennessee,0 +Montgomery County,Texas,0 +Montgomery County,Virginia,0 +Montmorency County,Michigan,0 +Montour County,Pennsylvania,0 +Montrose County,Colorado,0 +Moody County,South Dakota,0 +Moore County,North Carolina,0 +Moore County,Tennessee,0 +Moore County,Texas,0 +Mora County,New Mexico,0 +Morehouse Parish,Louisiana,0 +Morgan County,Alabama,50 +Morgan County,Colorado,0 +Morgan County,Georgia,0 +Morgan County,Illinois,0 +Morgan County,Indiana,0 +Morgan County,Kentucky,0 +Morgan County,Missouri,0 +Morgan County,Ohio,0 +Morgan County,Tennessee,0 +Morgan County,Utah,0 +Morgan County,West Virginia,0 +Morovis Municipio,Puerto Rico,0 +Morrill County,Nebraska,0 +Morris County,Kansas,0 +Morris County,New Jersey,0 +Morris County,Texas,0 +Morrison County,Minnesota,0 +Morrow County,Ohio,0 +Morrow County,Oregon,0 +Morton County,Kansas,0 +Morton County,North Dakota,0 +Motley County,Texas,0 +Moultrie County,Illinois,0 +Mountrail County,North Dakota,0 +Mower County,Minnesota,0 +Muhlenberg County,Kentucky,0 +Multnomah County,Oregon,0 +Municipality of Anchorage,Alaska,0 +Murray County,Georgia,0 +Murray County,Minnesota,0 +Murray County,Oklahoma,0 +Muscatine County,Iowa,0 +Muscogee County,Georgia,0 +Muskegon County,Michigan,0 +Muskingum County,Ohio,0 +Muskogee County,Oklahoma,0 +Musselshell County,Montana,0 +Nacogdoches County,Texas,0 +Naguabo Municipio,Puerto Rico,0 +Nance County,Nebraska,0 +Nantucket County,Massachusetts,0 +Napa County,California,0 +Naranjito Municipio,Puerto Rico,0 +Nash County,North Carolina,0 +Nassau County,Florida,0 +Nassau County,New York,50 +Natchitoches Parish,Louisiana,0 +Natrona County,Wyoming,0 +Navajo County,Arizona,0 +Navarro County,Texas,0 +Nelson County,Kentucky,0 +Nelson County,North Dakota,0 +Nelson County,Virginia,0 +Nemaha County,Kansas,0 +Nemaha County,Nebraska,0 +Neosho County,Kansas,0 +Neshoba County,Mississippi,0 +Ness County,Kansas,0 +Nevada County,Arkansas,0 +Nevada County,California,0 +New Castle County,Delaware,0 +New Hanover County,North Carolina,0 +New Haven County,Connecticut,0 +New Kent County,Virginia,0 +New London County,Connecticut,0 +New Madrid County,Missouri,0 +New York County,New York,50 +Newaygo County,Michigan,0 +Newberry County,South Carolina,0 +Newport County,Rhode Island,0 +Newport News City,Virginia,0 +Newport News city,Virginia,0 +Newton County,Arkansas,0 +Newton County,Georgia,0 +Newton County,Indiana,0 +Newton County,Mississippi,0 +Newton County,Missouri,0 +Newton County,Texas,0 +Nez Perce County,Idaho,0 +Niagara County,New York,0 +Nicholas County,Kentucky,0 +Nicholas County,West Virginia,0 +Nicollet County,Minnesota,0 +Niobrara County,Wyoming,0 +Noble County,Indiana,0 +Noble County,Ohio,0 +Noble County,Oklahoma,0 +Nobles County,Minnesota,0 +Nodaway County,Missouri,0 +Nolan County,Texas,0 +Nome Census Area,Alaska,0 +Norfolk City,Virginia,0 +Norfolk County,Massachusetts,0 +Norfolk city,Virginia,0 +Norman County,Minnesota,0 +North Slope Borough,Alaska,0 +Northampton County,North Carolina,0 +Northampton County,Pennsylvania,0 +Northampton County,Virginia,0 +Northumberland County,Pennsylvania,0 +Northumberland County,Virginia,0 +Northwest Arctic Borough,Alaska,0 +Norton County,Kansas,0 +Norton city,Virginia,0 +Nottoway County,Virginia,0 +Nowata County,Oklahoma,0 +Noxubee County,Mississippi,0 +Nuckolls County,Nebraska,0 +Nueces County,Texas,0 +Nye County,Nevada,0 +O'Brien County,Iowa,0 +Oakland County,Michigan,0 +Obion County,Tennessee,0 +Ocean County,New Jersey,0 +Oceana County,Michigan,0 +Ochiltree County,Texas,0 +Oconee County,Georgia,0 +Oconee County,South Carolina,0 +Oconto County,Wisconsin,0 +Ogemaw County,Michigan,0 +Ogle County,Illinois,0 +Oglethorpe County,Georgia,0 +Ohio County,Indiana,0 +Ohio County,Kentucky,0 +Ohio County,West Virginia,0 +Okaloosa County,Florida,0 +Okanogan County,Washington,0 +Okeechobee County,Florida,0 +Okfuskee County,Oklahoma,0 +Oklahoma County,Oklahoma,0 +Okmulgee County,Oklahoma,0 +Oktibbeha County,Mississippi,0 +Oldham County,Kentucky,0 +Oldham County,Texas,0 +Oliver County,North Dakota,0 +Olmsted County,Minnesota,0 +Oneida County,Idaho,0 +Oneida County,New York,0 +Oneida County,Wisconsin,0 +Onondaga County,New York,0 +Onslow County,North Carolina,0 +Ontario County,New York,0 +Ontonagon County,Michigan,0 +Orange County,California,0 +Orange County,Florida,0 +Orange County,Indiana,0 +Orange County,New York,0 +Orange County,North Carolina,0 +Orange County,Texas,0 +Orange County,Vermont,0 +Orange County,Virginia,0 +Orangeburg County,South Carolina,0 +Oregon County,Missouri,0 +Orleans County,New York,0 +Orleans County,Vermont,0 +Orleans Parish,Louisiana,0 +Orocovis Municipio,Puerto Rico,0 +Osage County,Kansas,0 +Osage County,Missouri,0 +Osage County,Oklahoma,0 +Osborne County,Kansas,0 +Osceola County,Florida,0 +Osceola County,Iowa,0 +Osceola County,Michigan,0 +Oscoda County,Michigan,0 +Oswego County,New York,0 +Otero County,Colorado,0 +Otero County,New Mexico,0 +Otoe County,Nebraska,0 +Otsego County,Michigan,0 +Otsego County,New York,0 +Ottawa County,Kansas,0 +Ottawa County,Michigan,0 +Ottawa County,Ohio,0 +Ottawa County,Oklahoma,0 +Otter Tail County,Minnesota,0 +Ouachita County,Arkansas,0 +Ouachita Parish,Louisiana,0 +Ouray County,Colorado,0 +Outagamie County,Wisconsin,0 +Overton County,Tennessee,0 +Owen County,Indiana,0 +Owen County,Kentucky,0 +Owsley County,Kentucky,0 +Owyhee County,Idaho,0 +Oxford County,Maine,0 +Ozark County,Missouri,0 +Ozaukee County,Wisconsin,0 +Pacific County,Washington,0 +Page County,Iowa,0 +Page County,Virginia,0 +Palm Beach County,Florida,0 +Palo Alto County,Iowa,0 +Palo Pinto County,Texas,0 +Pamlico County,North Carolina,0 +Panola County,Mississippi,0 +Panola County,Texas,0 +Park County,Colorado,0 +Park County,Montana,0 +Park County,Wyoming,0 +Parke County,Indiana,0 +Parker County,Texas,0 +Parmer County,Texas,0 +Pasco County,Florida,0 +Pasquotank County,North Carolina,0 +Passaic County,New Jersey,0 +Patillas Municipio,Puerto Rico,0 +Patrick County,Virginia,0 +Paulding County,Georgia,0 +Paulding County,Ohio,0 +Pawnee County,Kansas,0 +Pawnee County,Nebraska,0 +Pawnee County,Oklahoma,0 +Payette County,Idaho,0 +Payne County,Oklahoma,0 +Peach County,Georgia,0 +Pearl River County,Mississippi,0 +Pecos County,Texas,0 +Pembina County,North Dakota,0 +Pemiscot County,Missouri,0 +Pend Oreille County,Washington,0 +Pender County,North Carolina,0 +Pendleton County,Kentucky,0 +Pendleton County,West Virginia,0 +Pennington County,Minnesota,0 +Pennington County,South Dakota,0 +Penobscot County,Maine,0 +Penuelas Municipio,Puerto Rico,0 +Peoria County,Illinois,0 +Pepin County,Wisconsin,0 +Perkins County,Nebraska,0 +Perkins County,South Dakota,0 +Perquimans County,North Carolina,0 +Perry County,Alabama,0 +Perry County,Arkansas,0 +Perry County,Illinois,0 +Perry County,Indiana,0 +Perry County,Kentucky,0 +Perry County,Mississippi,0 +Perry County,Missouri,0 +Perry County,Ohio,0 +Perry County,Pennsylvania,0 +Perry County,Tennessee,0 +Pershing County,Nevada,0 +Person County,North Carolina,0 +Petersburg Census Area,Alaska,0 +Petersburg City,Virginia,0 +Petersburg city,Virginia,0 +Petroleum County,Montana,0 +Pettis County,Missouri,0 +Phelps County,Missouri,0 +Phelps County,Nebraska,0 +Philadelphia County,Pennsylvania,0 +Phillips County,Arkansas,0 +Phillips County,Colorado,0 +Phillips County,Kansas,0 +Phillips County,Montana,0 +Piatt County,Illinois,0 +Pickaway County,Ohio,0 +Pickens County,Alabama,0 +Pickens County,Georgia,0 +Pickens County,South Carolina,0 +Pickett County,Tennessee,0 +Pierce County,Georgia,0 +Pierce County,Nebraska,0 +Pierce County,North Dakota,0 +Pierce County,Washington,0 +Pierce County,Wisconsin,0 +Pike County,Alabama,0 +Pike County,Arkansas,0 +Pike County,Georgia,0 +Pike County,Illinois,0 +Pike County,Indiana,0 +Pike County,Kentucky,0 +Pike County,Mississippi,0 +Pike County,Missouri,0 +Pike County,Ohio,0 +Pike County,Pennsylvania,0 +Pima County,Arizona,0 +Pinal County,Arizona,0 +Pine County,Minnesota,0 +Pinellas County,Florida,0 +Pipestone County,Minnesota,0 +Piscataquis County,Maine,0 +Pitkin County,Colorado,0 +Pitt County,North Carolina,0 +Pittsburg County,Oklahoma,0 +Pittsylvania County,Virginia,0 +Piute County,Utah,0 +Placer County,California,0 +Plaquemines Parish,Louisiana,0 +Platte County,Missouri,0 +Platte County,Nebraska,0 +Platte County,Wyoming,0 +Pleasants County,West Virginia,0 +Plumas County,California,0 +Plymouth County,Iowa,0 +Plymouth County,Massachusetts,0 +Pocahontas County,Iowa,0 +Pocahontas County,West Virginia,0 +Poinsett County,Arkansas,0 +Pointe Coupee Parish,Louisiana,0 +Polk County,Arkansas,0 +Polk County,Florida,0 +Polk County,Georgia,0 +Polk County,Iowa,0 +Polk County,Minnesota,0 +Polk County,Missouri,0 +Polk County,Nebraska,0 +Polk County,North Carolina,0 +Polk County,Oregon,0 +Polk County,Tennessee,0 +Polk County,Texas,0 +Polk County,Wisconsin,0 +Ponce Municipio,Puerto Rico,0 +Pondera County,Montana,0 +Pontotoc County,Mississippi,0 +Pontotoc County,Oklahoma,0 +Pope County,Arkansas,0 +Pope County,Illinois,0 +Pope County,Minnesota,0 +Poquoson city,Virginia,0 +Portage County,Ohio,0 +Portage County,Wisconsin,0 +Porter County,Indiana,0 +Portsmouth City,Virginia,0 +Portsmouth city,Virginia,0 +Posey County,Indiana,0 +Pottawatomie County,Kansas,0 +Pottawatomie County,Oklahoma,0 +Pottawattamie County,Iowa,0 +Potter County,Pennsylvania,0 +Potter County,South Dakota,0 +Potter County,Texas,50 +Powder River County,Montana,0 +Powell County,Kentucky,0 +Powell County,Montana,0 +Power County,Idaho,0 +Poweshiek County,Iowa,0 +Powhatan County,Virginia,0 +Prairie County,Arkansas,0 +Prairie County,Montana,0 +Pratt County,Kansas,0 +Preble County,Ohio,0 +Prentiss County,Mississippi,0 +Presidio County,Texas,0 +Presque Isle County,Michigan,0 +Preston County,West Virginia,0 +Price County,Wisconsin,0 +Prince Edward County,Virginia,0 +Prince George County,Virginia,0 +Prince George's County,Maryland,0 +Prince William County,Virginia,0 +Prince of Wales-Hyder Census Area,Alaska,0 +Prince of Wales-Outer Ketchikan Borough,Alaska,0 +Providence County,Rhode Island,0 +Prowers County,Colorado,0 +Pueblo County,Colorado,0 +Pulaski County,Arkansas,0 +Pulaski County,Georgia,0 +Pulaski County,Illinois,0 +Pulaski County,Indiana,0 +Pulaski County,Kentucky,0 +Pulaski County,Missouri,0 +Pulaski County,Virginia,0 +Pushmataha County,Oklahoma,0 +Putnam County,Florida,0 +Putnam County,Georgia,0 +Putnam County,Illinois,0 +Putnam County,Indiana,0 +Putnam County,Missouri,0 +Putnam County,New York,0 +Putnam County,Ohio,0 +Putnam County,Tennessee,0 +Putnam County,West Virginia,0 +Quay County,New Mexico,0 +Quebradillas Municipio,Puerto Rico,0 +Queen Anne's County,Maryland,0 +Queens County,New York,50 +Quitman County,Georgia,0 +Quitman County,Mississippi,0 +Rabun County,Georgia,0 +Racine County,Wisconsin,0 +Radford City,Virginia,0 +Radford city,Virginia,0 +Rains County,Texas,0 +Raleigh County,West Virginia,0 +Ralls County,Missouri,0 +Ramsey County,Minnesota,50 +Ramsey County,North Dakota,0 +Randall County,Texas,0 +Randolph County,Alabama,0 +Randolph County,Arkansas,0 +Randolph County,Georgia,0 +Randolph County,Illinois,0 +Randolph County,Indiana,0 +Randolph County,Missouri,0 +Randolph County,North Carolina,0 +Randolph County,West Virginia,0 +Rankin County,Mississippi,0 +Ransom County,North Dakota,0 +Rapides Parish,Louisiana,0 +Rappahannock County,Virginia,0 +Ravalli County,Montana,0 +Rawlins County,Kansas,0 +Ray County,Missouri,0 +Reagan County,Texas,0 +Real County,Texas,0 +Red Lake County,Minnesota,0 +Red River County,Texas,0 +Red River Parish,Louisiana,0 +Red Willow County,Nebraska,0 +Redwood County,Minnesota,0 +Reeves County,Texas,0 +Refugio County,Texas,0 +Reno County,Kansas,0 +Rensselaer County,New York,0 +Renville County,Minnesota,0 +Renville County,North Dakota,0 +Republic County,Kansas,0 +Reynolds County,Missouri,0 +Rhea County,Tennessee,0 +Rice County,Kansas,0 +Rice County,Minnesota,0 +Rich County,Utah,0 +Richardson County,Nebraska,0 +Richland County,Illinois,0 +Richland County,Montana,0 +Richland County,North Dakota,0 +Richland County,Ohio,0 +Richland County,South Carolina,0 +Richland County,Wisconsin,0 +Richland Parish,Louisiana,0 +Richmond City,Virginia,0 +Richmond County,Georgia,0 +Richmond County,New York,0 +Richmond County,North Carolina,0 +Richmond County,Virginia,0 +Richmond city,Virginia,0 +Riley County,Kansas,0 +Rincon Municipio,Puerto Rico,0 +Ringgold County,Iowa,0 +Rio Arriba County,New Mexico,0 +Rio Blanco County,Colorado,0 +Rio Grande County,Colorado,0 +Rio Grande Municipio,Puerto Rico,0 +Ripley County,Indiana,0 +Ripley County,Missouri,0 +Ritchie County,West Virginia,0 +Riverside County,California,0 +Roane County,Tennessee,0 +Roane County,West Virginia,0 +Roanoke City,Virginia,0 +Roanoke County,Virginia,0 +Roanoke city,Virginia,0 +Roberts County,South Dakota,0 +Roberts County,Texas,0 +Robertson County,Kentucky,0 +Robertson County,Tennessee,0 +Robertson County,Texas,0 +Robeson County,North Carolina,0 +Rock County,Minnesota,0 +Rock County,Nebraska,0 +Rock County,Wisconsin,0 +Rock Island County,Illinois,0 +Rockbridge County,Virginia,0 +Rockcastle County,Kentucky,0 +Rockdale County,Georgia,0 +Rockingham County,New Hampshire,0 +Rockingham County,North Carolina,0 +Rockingham County,Virginia,0 +Rockland County,New York,0 +Rockwall County,Texas,0 +Roger Mills County,Oklahoma,0 +Rogers County,Oklahoma,0 +Rolette County,North Dakota,0 +Rooks County,Kansas,0 +Roosevelt County,Montana,0 +Roosevelt County,New Mexico,0 +Roscommon County,Michigan,0 +Roseau County,Minnesota,0 +Rosebud County,Montana,0 +Ross County,Ohio,0 +Routt County,Colorado,0 +Rowan County,Kentucky,0 +Rowan County,North Carolina,0 +Runnels County,Texas,0 +Rush County,Indiana,0 +Rush County,Kansas,0 +Rusk County,Texas,0 +Rusk County,Wisconsin,0 +Russell County,Alabama,0 +Russell County,Kansas,0 +Russell County,Kentucky,0 +Russell County,Virginia,0 +Rutherford County,North Carolina,0 +Rutherford County,Tennessee,0 +Rutland County,Vermont,0 +Sabana Grande Municipio,Puerto Rico,0 +Sabine County,Texas,0 +Sabine Parish,Louisiana,0 +Sac County,Iowa,0 +Sacramento County,California,0 +Sagadahoc County,Maine,0 +Saginaw County,Michigan,0 +Saguache County,Colorado,0 +Salem County,New Jersey,0 +Salem city,Virginia,0 +Salinas Municipio,Puerto Rico,0 +Saline County,Arkansas,0 +Saline County,Illinois,0 +Saline County,Kansas,0 +Saline County,Missouri,0 +Saline County,Nebraska,0 +Salt Lake County,Utah,0 +Saluda County,South Carolina,0 +Sampson County,North Carolina,0 +San Augustine County,Texas,0 +San Benito County,California,0 +San Bernardino County,California,50 +San Diego County,California,0 +San Francisco County,California,0 +San German Municipio,Puerto Rico,0 +San Jacinto County,Texas,0 +San Joaquin County,California,0 +San Juan,Puerto Rico,0 +San Juan County,Arizona,0 +San Juan County,Colorado,0 +San Juan County,New Mexico,0 +San Juan County,Utah,0 +San Juan County,Washington,0 +San Juan Municipio,Puerto Rico,0 +San Lorenzo Municipio,Puerto Rico,0 +San Luis Obispo County,California,0 +San Mateo County,California,0 +San Miguel County,Colorado,0 +San Miguel County,New Mexico,0 +San Patricio County,Texas,0 +San Saba County,Texas,0 +San Sebastian Municipio,Puerto Rico,0 +Sanborn County,South Dakota,0 +Sanders County,Montana,0 +Sandoval County,New Mexico,0 +Sandusky County,Ohio,0 +Sangamon County,Illinois,0 +Sanilac County,Michigan,0 +Sanpete County,Utah,0 +Santa Barbara County,California,0 +Santa Clara County,California,0 +Santa Cruz County,Arizona,0 +Santa Cruz County,California,0 +Santa Fe County,New Mexico,0 +Santa Isabel Municipio,Puerto Rico,0 +Santa Rosa County,Florida,0 +Sarasota County,Florida,0 +Saratoga County,New York,0 +Sargent County,North Dakota,0 +Sarpy County,Nebraska,0 +Sauk County,Wisconsin,0 +Saunders County,Nebraska,0 +Sawyer County,Wisconsin,0 +Schenectady County,New York,0 +Schleicher County,Texas,0 +Schley County,Georgia,0 +Schoharie County,New York,0 +Schoolcraft County,Michigan,0 +Schuyler County,Illinois,0 +Schuyler County,Missouri,0 +Schuyler County,New York,0 +Schuylkill County,Pennsylvania,0 +Scioto County,Ohio,0 +Scotland County,Missouri,0 +Scotland County,North Carolina,0 +Scott County,Arkansas,0 +Scott County,Illinois,0 +Scott County,Indiana,0 +Scott County,Iowa,0 +Scott County,Kansas,0 +Scott County,Kentucky,0 +Scott County,Minnesota,0 +Scott County,Mississippi,0 +Scott County,Missouri,0 +Scott County,Tennessee,0 +Scott County,Virginia,0 +Scotts Bluff County,Nebraska,0 +Screven County,Georgia,0 +Scurry County,Texas,0 +Searcy County,Arkansas,0 +Sebastian County,Arkansas,0 +Sedgwick County,Colorado,0 +Sedgwick County,Kansas,0 +Seminole County,Florida,0 +Seminole County,Georgia,0 +Seminole County,Oklahoma,0 +Seneca County,New York,0 +Seneca County,Ohio,0 +Sequatchie County,Tennessee,0 +Sequoyah County,Oklahoma,0 +Sevier County,Arkansas,0 +Sevier County,Tennessee,0 +Sevier County,Utah,0 +Seward County,Kansas,0 +Seward County,Nebraska,0 +Shackelford County,Texas,0 +Shannon County,Missouri,0 +Shannon County,South Dakota,0 +Sharkey County,Mississippi,0 +Sharp County,Arkansas,0 +Shasta County,California,0 +Shawano County,Wisconsin,0 +Shawnee County,Kansas,0 +Sheboygan County,Wisconsin,0 +Shelby County,Alabama,0 +Shelby County,Illinois,0 +Shelby County,Indiana,0 +Shelby County,Iowa,0 +Shelby County,Kentucky,0 +Shelby County,Missouri,0 +Shelby County,Ohio,0 +Shelby County,Tennessee,0 +Shelby County,Texas,0 +Shenandoah County,Virginia,0 +Sherburne County,Minnesota,0 +Sheridan County,Kansas,0 +Sheridan County,Montana,0 +Sheridan County,Nebraska,0 +Sheridan County,North Dakota,0 +Sheridan County,Wyoming,0 +Sherman County,Kansas,0 +Sherman County,Nebraska,0 +Sherman County,Oregon,0 +Sherman County,Texas,0 +Shiawassee County,Michigan,0 +Shoshone County,Idaho,0 +Sibley County,Minnesota,0 +Sierra County,California,0 +Sierra County,New Mexico,0 +Silver Bow County,Montana,0 +Simpson County,Kentucky,0 +Simpson County,Mississippi,0 +Sioux County,Iowa,0 +Sioux County,Nebraska,0 +Sioux County,North Dakota,0 +Siskiyou County,California,0 +Sitka City and Borough,Alaska,0 +Skagit County,Washington,0 +Skagway Municipality,Alaska,0 +Skamania County,Washington,0 +Slope County,North Dakota,0 +Smith County,Kansas,0 +Smith County,Mississippi,0 +Smith County,Tennessee,0 +Smith County,Texas,0 +Smyth County,Virginia,0 +Snohomish County,Washington,0 +Snyder County,Pennsylvania,0 +Socorro County,New Mexico,0 +Solano County,California,0 +Somerset County,Maine,0 +Somerset County,Maryland,0 +Somerset County,New Jersey,0 +Somerset County,Pennsylvania,0 +Somervell County,Texas,0 +Sonoma County,California,0 +Southampton County,Virginia,0 +Southeast Fairbanks Census Area,Alaska,0 +Spalding County,Georgia,0 +Spartanburg County,South Carolina,0 +Spencer County,Indiana,0 +Spencer County,Kentucky,0 +Spink County,South Dakota,0 +Spokane County,Washington,0 +Spotsylvania County,Virginia,0 +St Bernard Parish,Louisiana,0 +St Clair County,Alabama,0 +St Francois County,Missouri,0 +St James Parish,Louisiana,0 +St Landry Parish,Louisiana,0 +St Lawrence County,New York,0 +St Louis County,Minnesota,0 +St Louis County,Missouri,0 +St Martin Parish,Louisiana,0 +St Mary Parish,Louisiana,0 +St Mary's County,Maryland,0 +St Tammany Parish,Louisiana,0 +St. Bernard Parish,Louisiana,0 +St. Charles County,Missouri,0 +St. Charles Parish,Louisiana,0 +St. Clair County,Alabama,0 +St. Clair County,Illinois,0 +St. Clair County,Michigan,0 +St. Clair County,Missouri,0 +St. Croix County,Wisconsin,0 +St. Francis County,Arkansas,0 +St. Francois County,Missouri,0 +St. Helena Parish,Louisiana,0 +St. James Parish,Louisiana,0 +St. John the Baptist Parish,Louisiana,0 +St. Johns County,Florida,0 +St. Joseph County,Indiana,0 +St. Joseph County,Michigan,0 +St. Landry Parish,Louisiana,0 +St. Lawrence County,New York,0 +St. Louis City,Missouri,0 +St. Louis County,Minnesota,0 +St. Louis County,Missouri,0 +St. Louis city,Missouri,0 +St. Lucie County,Florida,0 +St. Martin Parish,Louisiana,0 +St. Mary Parish,Louisiana,0 +St. Mary's County,Maryland,0 +St. Tammany Parish,Louisiana,0 +Stafford County,Kansas,0 +Stafford County,Virginia,0 +Stanislaus County,California,0 +Stanley County,South Dakota,0 +Stanly County,North Carolina,0 +Stanton County,Kansas,0 +Stanton County,Nebraska,0 +Stark County,Illinois,0 +Stark County,North Dakota,0 +Stark County,Ohio,0 +Starke County,Indiana,0 +Starr County,Texas,0 +Staunton City,Virginia,0 +Staunton city,Virginia,0 +Ste. Genevieve County,Missouri,0 +Stearns County,Minnesota,0 +Steele County,Minnesota,0 +Steele County,North Dakota,0 +Stephens County,Georgia,0 +Stephens County,Oklahoma,0 +Stephens County,Texas,0 +Stephenson County,Illinois,0 +Sterling County,Texas,0 +Steuben County,Indiana,0 +Steuben County,New York,0 +Stevens County,Kansas,0 +Stevens County,Minnesota,0 +Stevens County,Washington,0 +Stewart County,Georgia,0 +Stewart County,Tennessee,0 +Stillwater County,Montana,0 +Stoddard County,Missouri,0 +Stokes County,North Carolina,0 +Stone County,Arkansas,0 +Stone County,Mississippi,0 +Stone County,Missouri,0 +Stonewall County,Texas,0 +Storey County,Nevada,0 +Story County,Iowa,0 +Strafford County,New Hampshire,0 +Stutsman County,North Dakota,0 +Sublette County,Wyoming,0 +Suffolk City,Virginia,0 +Suffolk County,Massachusetts,0 +Suffolk County,New York,0 +Suffolk city,Virginia,0 +Sullivan County,Indiana,0 +Sullivan County,Missouri,0 +Sullivan County,New Hampshire,0 +Sullivan County,New York,0 +Sullivan County,Pennsylvania,0 +Sullivan County,Tennessee,0 +Sully County,South Dakota,0 +Summers County,West Virginia,0 +Summit County,Colorado,0 +Summit County,Ohio,0 +Summit County,Utah,0 +Sumner County,Kansas,0 +Sumner County,Tennessee,0 +Sumter County,Alabama,0 +Sumter County,Florida,0 +Sumter County,Georgia,0 +Sumter County,South Carolina,0 +Sunflower County,Mississippi,0 +Surry County,North Carolina,0 +Surry County,Virginia,0 +Susquehanna County,Pennsylvania,0 +Sussex County,Delaware,0 +Sussex County,New Jersey,0 +Sussex County,Virginia,0 +Sutter County,California,0 +Sutton County,Texas,0 +Suwannee County,Florida,0 +Swain County,North Carolina,0 +Sweet Grass County,Montana,0 +Sweetwater County,Wyoming,0 +Swift County,Minnesota,0 +Swisher County,Texas,0 +Switzerland County,Indiana,0 +Talbot County,Georgia,0 +Talbot County,Maryland,0 +Taliaferro County,Georgia,0 +Talladega County,Alabama,0 +Tallahatchie County,Mississippi,0 +Tallapoosa County,Alabama,0 +Tama County,Iowa,0 +Taney County,Missouri,0 +Tangipahoa Parish,Louisiana,0 +Taos County,New Mexico,0 +Tarrant County,Texas,0 +Tate County,Mississippi,0 +Tattnall County,Georgia,0 +Taylor County,Florida,0 +Taylor County,Georgia,0 +Taylor County,Iowa,0 +Taylor County,Kentucky,0 +Taylor County,Texas,0 +Taylor County,West Virginia,0 +Taylor County,Wisconsin,0 +Tazewell County,Illinois,0 +Tazewell County,Virginia,0 +Tehama County,California,0 +Telfair County,Georgia,0 +Teller County,Colorado,0 +Tensas Parish,Louisiana,0 +Terrebonne Parish,Louisiana,0 +Terrell County,Georgia,0 +Terrell County,Texas,0 +Terry County,Texas,0 +Teton County,Idaho,0 +Teton County,Montana,0 +Teton County,Wyoming,0 +Texas County,Missouri,0 +Texas County,Oklahoma,0 +Thayer County,Nebraska,0 +Thomas County,Georgia,0 +Thomas County,Kansas,0 +Thomas County,Nebraska,0 +Throckmorton County,Texas,0 +Thurston County,Nebraska,0 +Thurston County,Washington,0 +Tift County,Georgia,0 +Tillamook County,Oregon,0 +Tillman County,Oklahoma,0 +Tioga County,New York,0 +Tioga County,Pennsylvania,0 +Tippah County,Mississippi,0 +Tippecanoe County,Indiana,50 +Tipton County,Indiana,0 +Tipton County,Tennessee,0 +Tishomingo County,Mississippi,0 +Titus County,Texas,0 +Toa Alta,Puerto Rico,0 +Toa Alta Municipio,Puerto Rico,0 +Toa Baja Municipio,Puerto Rico,0 +Todd County,Kentucky,0 +Todd County,Minnesota,0 +Todd County,South Dakota,0 +Tolland County,Connecticut,0 +Tom Green County,Texas,50 +Tompkins County,New York,0 +Tooele County,Utah,0 +Toole County,Montana,0 +Toombs County,Georgia,0 +Torrance County,New Mexico,0 +Towner County,North Dakota,0 +Towns County,Georgia,0 +Traill County,North Dakota,0 +Transylvania County,North Carolina,0 +Traverse County,Minnesota,0 +Travis County,Texas,0 +Treasure County,Montana,0 +Trego County,Kansas,0 +Trempealeau County,Wisconsin,0 +Treutlen County,Georgia,0 +Trigg County,Kentucky,0 +Trimble County,Kentucky,0 +Trinity County,California,0 +Trinity County,Texas,0 +Tripp County,South Dakota,0 +Troup County,Georgia,0 +Trousdale County,Tennessee,0 +Trujillo Alto Municipio,Puerto Rico,0 +Trumbull County,Ohio,0 +Tucker County,West Virginia,0 +Tulare County,California,0 +Tulsa County,Oklahoma,0 +Tunica County,Mississippi,0 +Tuolumne County,California,0 +Turner County,Georgia,0 +Turner County,South Dakota,0 +Tuscaloosa County,Alabama,0 +Tuscarawas County,Ohio,0 +Tuscola County,Michigan,0 +Twiggs County,Georgia,0 +Twin Falls County,Idaho,0 +Tyler County,Texas,0 +Tyler County,West Virginia,0 +Tyrrell County,North Carolina,0 +Uinta County,Wyoming,0 +Uintah County,Utah,0 +Ulster County,New York,0 +Umatilla County,Oregon,0 +Unicoi County,Tennessee,0 +Union County,Arkansas,0 +Union County,Florida,0 +Union County,Georgia,0 +Union County,Illinois,0 +Union County,Indiana,0 +Union County,Iowa,0 +Union County,Kentucky,0 +Union County,Mississippi,0 +Union County,New Jersey,0 +Union County,New Mexico,0 +Union County,North Carolina,0 +Union County,Ohio,0 +Union County,Oregon,0 +Union County,Pennsylvania,0 +Union County,South Carolina,0 +Union County,South Dakota,0 +Union County,Tennessee,0 +Union Parish,Louisiana,0 +Upshur County,Texas,0 +Upshur County,West Virginia,0 +Upson County,Georgia,0 +Upton County,Texas,0 +Utah County,Utah,50 +Utuado Municipio,Puerto Rico,0 +Uvalde County,Texas,0 +Val Verde County,Texas,0 +Valdez-Cordova Census Area,Alaska,0 +Valencia County,New Mexico,0 +Valley County,Idaho,0 +Valley County,Montana,0 +Valley County,Nebraska,0 +Van Buren County,Arkansas,0 +Van Buren County,Iowa,0 +Van Buren County,Michigan,0 +Van Buren County,Tennessee,0 +Van Wert County,Ohio,0 +Van Zandt County,Texas,0 +Vance County,North Carolina,0 +Vanderburgh County,Indiana,50 +Vega Alta Municipio,Puerto Rico,0 +Vega Baja Municipio,Puerto Rico,0 +Venango County,Pennsylvania,0 +Ventura County,California,0 +Vermilion County,Illinois,0 +Vermilion Parish,Louisiana,0 +Vermillion County,Indiana,0 +Vernon County,Missouri,0 +Vernon County,Wisconsin,0 +Vernon Parish,Louisiana,0 +Victoria County,Texas,0 +Vieques Municipio,Puerto Rico,0 +Vigo County,Indiana,0 +Vilas County,Wisconsin,0 +Villalba Municipio,Puerto Rico,0 +Vinton County,Ohio,0 +Virginia Beach City,Virginia,0 +Virginia Beach city,Virginia,0 +Volusia County,Florida,0 +Wabash County,Illinois,0 +Wabash County,Indiana,0 +Wabasha County,Minnesota,0 +Wabaunsee County,Kansas,0 +Wade Hampton Census Area,Alaska,0 +Wadena County,Minnesota,0 +Wagoner County,Oklahoma,0 +Wahkiakum County,Washington,0 +Wake County,North Carolina,50 +Wakulla County,Florida,0 +Waldo County,Maine,0 +Walker County,Alabama,0 +Walker County,Georgia,0 +Walker County,Texas,0 +Walla Walla County,Washington,0 +Wallace County,Kansas,0 +Waller County,Texas,0 +Wallowa County,Oregon,0 +Walsh County,North Dakota,0 +Walthall County,Mississippi,0 +Walton County,Florida,0 +Walton County,Georgia,0 +Walworth County,South Dakota,0 +Walworth County,Wisconsin,0 +Wapello County,Iowa,0 +Ward County,North Dakota,0 +Ward County,Texas,0 +Ware County,Georgia,0 +Warren County,Georgia,0 +Warren County,Illinois,0 +Warren County,Indiana,0 +Warren County,Iowa,0 +Warren County,Kentucky,0 +Warren County,Mississippi,0 +Warren County,Missouri,0 +Warren County,New Jersey,0 +Warren County,New York,0 +Warren County,North Carolina,0 +Warren County,Ohio,0 +Warren County,Pennsylvania,0 +Warren County,Tennessee,50 +Warren County,Virginia,0 +Warrick County,Indiana,0 +Wasatch County,Utah,0 +Wasco County,Oregon,0 +Waseca County,Minnesota,0 +Washakie County,Wyoming,0 +Washburn County,Wisconsin,0 +Washington County,Alabama,0 +Washington County,Arkansas,0 +Washington County,Colorado,0 +Washington County,Florida,0 +Washington County,Georgia,0 +Washington County,Idaho,0 +Washington County,Illinois,0 +Washington County,Indiana,0 +Washington County,Iowa,0 +Washington County,Kansas,0 +Washington County,Kentucky,0 +Washington County,Maine,0 +Washington County,Maryland,0 +Washington County,Minnesota,0 +Washington County,Mississippi,0 +Washington County,Missouri,0 +Washington County,Nebraska,0 +Washington County,New York,0 +Washington County,North Carolina,0 +Washington County,Ohio,0 +Washington County,Oklahoma,0 +Washington County,Oregon,0 +Washington County,Pennsylvania,0 +Washington County,Rhode Island,0 +Washington County,Tennessee,0 +Washington County,Texas,0 +Washington County,Utah,0 +Washington County,Vermont,0 +Washington County,Virginia,0 +Washington County,West Virginia,0 +Washington County,Wisconsin,0 +Washington Parish,Louisiana,0 +Washita County,Oklahoma,0 +Washoe County,Nevada,0 +Washtenaw County,Michigan,0 +Watauga County,North Carolina,0 +Watonwan County,Minnesota,0 +Waukesha County,Wisconsin,0 +Waupaca County,Wisconsin,0 +Waushara County,Wisconsin,0 +Wayne County,Georgia,0 +Wayne County,Illinois,0 +Wayne County,Indiana,0 +Wayne County,Iowa,0 +Wayne County,Kentucky,0 +Wayne County,Michigan,100 +Wayne County,Mississippi,0 +Wayne County,Missouri,0 +Wayne County,Nebraska,0 +Wayne County,New York,0 +Wayne County,North Carolina,0 +Wayne County,Ohio,0 +Wayne County,Pennsylvania,0 +Wayne County,Tennessee,0 +Wayne County,Utah,0 +Wayne County,West Virginia,0 +Waynesboro city,Virginia,0 +Weakley County,Tennessee,0 +Webb County,Texas,0 +Weber County,Utah,0 +Webster County,Georgia,0 +Webster County,Iowa,0 +Webster County,Kentucky,0 +Webster County,Mississippi,0 +Webster County,Missouri,0 +Webster County,Nebraska,0 +Webster County,West Virginia,0 +Webster Parish,Louisiana,0 +Weld County,Colorado,0 +Wells County,Indiana,0 +Wells County,North Dakota,0 +West Baton Rouge Parish,Louisiana,0 +West Carroll Parish,Louisiana,0 +West Feliciana Parish,Louisiana,0 +Westchester County,New York,0 +Westmoreland County,Pennsylvania,0 +Westmoreland County,Virginia,0 +Weston County,Wyoming,0 +Wetzel County,West Virginia,0 +Wexford County,Michigan,0 +Wharton County,Texas,0 +Whatcom County,Washington,0 +Wheatland County,Montana,0 +Wheeler County,Georgia,0 +Wheeler County,Nebraska,0 +Wheeler County,Oregon,0 +Wheeler County,Texas,0 +White County,Arkansas,0 +White County,Georgia,0 +White County,Illinois,0 +White County,Indiana,0 +White County,Tennessee,0 +White Pine County,Nevada,0 +Whiteside County,Illinois,0 +Whitfield County,Georgia,0 +Whitley County,Indiana,0 +Whitley County,Kentucky,0 +Whitman County,Washington,0 +Wibaux County,Montana,0 +Wichita County,Kansas,0 +Wichita County,Texas,0 +Wicomico County,Maryland,50 +Wilbarger County,Texas,0 +Wilcox County,Alabama,0 +Wilcox County,Georgia,0 +Wilkes County,Georgia,0 +Wilkes County,North Carolina,0 +Wilkin County,Minnesota,0 +Wilkinson County,Georgia,0 +Wilkinson County,Mississippi,0 +Will County,Illinois,0 +Willacy County,Texas,0 +Williams County,North Dakota,0 +Williams County,Ohio,0 +Williamsburg City,Virginia,0 +Williamsburg County,South Carolina,0 +Williamsburg city,Virginia,0 +Williamson County,Illinois,0 +Williamson County,Tennessee,0 +Williamson County,Texas,0 +Wilson County,Kansas,0 +Wilson County,North Carolina,0 +Wilson County,Tennessee,0 +Wilson County,Texas,0 +Winchester City,Virginia,0 +Winchester city,Virginia,0 +Windham County,Connecticut,0 +Windham County,Vermont,0 +Windsor County,Vermont,0 +Winkler County,Texas,0 +Winn Parish,Louisiana,0 +Winnebago County,Illinois,0 +Winnebago County,Iowa,0 +Winnebago County,Wisconsin,0 +Winneshiek County,Iowa,0 +Winona County,Minnesota,0 +Winston County,Alabama,0 +Winston County,Mississippi,0 +Wirt County,West Virginia,0 +Wise County,Texas,0 +Wise County,Virginia,0 +Wolfe County,Kentucky,0 +Wood County,Ohio,0 +Wood County,Texas,0 +Wood County,West Virginia,0 +Wood County,Wisconsin,0 +Woodbury County,Iowa,0 +Woodford County,Illinois,0 +Woodford County,Kentucky,0 +Woodruff County,Arkansas,0 +Woods County,Oklahoma,0 +Woodson County,Kansas,0 +Woodward County,Oklahoma,0 +Worcester County,Maryland,0 +Worcester County,Massachusetts,0 +Worth County,Georgia,0 +Worth County,Iowa,0 +Worth County,Missouri,0 +Wrangell City and Borough,Alaska,0 +Wright County,Iowa,0 +Wright County,Minnesota,0 +Wright County,Missouri,0 +Wyandot County,Ohio,0 +Wyandotte County,Kansas,0 +Wyoming County,New York,0 +Wyoming County,Pennsylvania,0 +Wyoming County,West Virginia,0 +Wythe County,Virginia,0 +Yabucoa Municipio,Puerto Rico,0 +Yadkin County,North Carolina,0 +Yakima County,Washington,0 +Yakutat City and Borough,Alaska,0 +Yalobusha County,Mississippi,0 +Yamhill County,Oregon,0 +Yancey County,North Carolina,0 +Yankton County,South Dakota,0 +Yates County,New York,0 +Yauco Municipio,Puerto Rico,0 +Yavapai County,Arizona,0 +Yazoo County,Mississippi,0 +Yell County,Arkansas,0 +Yellow Medicine County,Minnesota,0 +Yellowstone County,Montana,0 +Yoakum County,Texas,0 +Yolo County,California,0 +York County,Maine,0 +York County,Nebraska,0 +York County,Pennsylvania,0 +York County,South Carolina,0 +York County,Virginia,0 +Young County,Texas,0 +Yuba County,California,0 +Yukon-Koyukuk Census Area,Alaska,0 +Yuma County,Arizona,0 +Yuma County,Colorado,0 +Zapata County,Texas,0 +Zavala County,Texas,0 +Ziebach County,South Dakota,0 diff --git a/tasks/readable/088/gold_csv/GQRY-A.3.csv b/tasks/readable/088/gold_csv/GQRY-A.3.csv new file mode 100644 index 0000000000000000000000000000000000000000..ba72b82e64d7b8dd41769c99f71d65249ee0b0db --- /dev/null +++ b/tasks/readable/088/gold_csv/GQRY-A.3.csv @@ -0,0 +1,53 @@ +state,total_income +Alabama,50 +Alaska,0 +Arizona,0 +Arkansas,0 +California,50 +Colorado,0 +Connecticut,0 +Delaware,0 +District of Columbia,0 +Florida,0 +Georgia,0 +Hawaii,0 +Idaho,0 +Illinois,150 +Indiana,150 +Iowa,0 +Kansas,0 +Kentucky,0 +Louisiana,0 +Maine,0 +Maryland,150 +Massachusetts,50 +Michigan,100 +Minnesota,50 +Mississippi,0 +Missouri,0 +Montana,0 +Nebraska,0 +Nevada,0 +New Hampshire,0 +New Jersey,200 +New Mexico,0 +New York,250 +North Carolina,100 +North Dakota,50 +Ohio,0 +Oklahoma,0 +Oregon,0 +Pennsylvania,0 +Puerto Rico,0 +Rhode Island,0 +South Carolina,50 +South Dakota,0 +Tennessee,50 +Texas,100 +Utah,50 +Vermont,0 +Virginia,50 +Washington,0 +West Virginia,0 +Wisconsin,0 +Wyoming,0 diff --git a/tasks/readable/088/task_readable.sql b/tasks/readable/088/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..5c9def7a4dc7d25cc29700a5a0dbb01187322678 --- /dev/null +++ b/tasks/readable/088/task_readable.sql @@ -0,0 +1,195 @@ +/* +{ + "qid": "088", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "student_club", + "question": "For each region, report the total club funding received by members.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "region", + "type": "finite", + "ambiguity_type": "semantic_column", + "interpretations": [ + "zip code", + "city", + "county", + "state" + ], + "intended_interpretation_idx": 1 + } + ], + "gold_intended_query_id": "GQRY-A.1", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0` ----- +/* +{ + "id": "GQRY-A.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 0, + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] region": "zip code" + } + } +} +*/ +SELECT z.zip_code, COALESCE(SUM(i.amount), 0) AS total_income +FROM zip_code z +LEFT JOIN member m ON m.zip = z.zip_code +LEFT JOIN income i ON i.link_to_member = m.member_id +GROUP BY z.zip_code +ORDER BY z.zip_code; +/* EXEC RESULT + zip_code total_income + 501 0 + 544 0 + 601 0 + 602 0 + 603 0 +... TRUNCATED ... + 99926 0 + 99927 0 + 99928 0 + 99929 0 + 99950 0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1` ----- +/* +{ + "id": "GQRY-A.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 0, + 3 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] region": "city" + } + } +} +*/ +SELECT z.city, z.county, z.state, COALESCE(SUM(i.amount), 0) AS total_income +FROM zip_code z +LEFT JOIN member m ON m.zip = z.zip_code +LEFT JOIN income i ON i.link_to_member = m.member_id +GROUP BY z.state, z.county, z.city +ORDER BY z.city; +/* EXEC RESULT + city county state total_income +Aaronsburg Centre County Pennsylvania 0 + Abbeville Henry County Alabama 0 + Abbeville Wilcox County Georgia 0 + Abbeville Vermilion Parish Louisiana 0 + Abbeville Lafayette County Mississippi 0 +... TRUNCATED ... + Zuni Cibola County New Mexico 0 + Zuni Isle of Wight County Virginia 0 + Zurich Blaine County Montana 0 + Zwingle Jackson County Iowa 0 + Zwolle Sabine Parish Louisiana 0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.2` ----- +/* +{ + "id": "GQRY-A.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 0, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] region": "county" + } + } +} +*/ +SELECT z.county, z.state, COALESCE(SUM(i.amount), 0) AS total_income +FROM zip_code z +LEFT JOIN member m ON m.zip = z.zip_code +LEFT JOIN income i ON i.link_to_member = m.member_id +GROUP BY z.state, z.county +ORDER BY z.county; +/* EXEC RESULT + county state total_income + None Alabama 0 + None Alaska 0 + None Arkansas 0 + None California 0 + None Colorado 0 +... TRUNCATED ... + Yuma County Arizona 0 + Yuma County Colorado 0 + Zapata County Texas 0 + Zavala County Texas 0 +Ziebach County South Dakota 0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.3` ----- +/* +{ + "id": "GQRY-A.3", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 0, + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] region": "state" + } + } +} +*/ +SELECT z.state, COALESCE(SUM(i.amount), 0) AS total_income +FROM zip_code z +LEFT JOIN member m ON m.zip = z.zip_code +LEFT JOIN income i ON i.link_to_member = m.member_id +GROUP BY z.state +ORDER BY z.state; +/* EXEC RESULT + state total_income + Alabama 50 + Alaska 0 + Arizona 0 + Arkansas 0 + California 50 +... TRUNCATED ... + Virginia 50 + Washington 0 +West Virginia 0 + Wisconsin 0 + Wyoming 0 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/089/gold_csv/GQRY-B.0-C.0.csv b/tasks/readable/089/gold_csv/GQRY-B.0-C.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..2a000c4fa92788e3dc462c9094c753ce870918fb --- /dev/null +++ b/tasks/readable/089/gold_csv/GQRY-B.0-C.0.csv @@ -0,0 +1,10 @@ +event_id,event_name,total_attendees +rec5XDvJLyxDsGZWc,Laugh Out Loud,20 +recEVTik3MlqbvLFi,October Speaker,29 +recI43CzsZ0Q625ma,September Speaker,27 +recLKj8BbTNqxFbTb,Registration,30 +recggMW2eyCYceNcy,October Meeting,23 +reciRZdAqNIKuMC96,November Speaker,27 +recmbOVHSyzXQZpQr,November Meeting,25 +recykdvf4LgsyA3wZ,Yearly Kickoff,30 +reczhS8wix6Kzbp9P,September Meeting,27 diff --git a/tasks/readable/089/gold_csv/GQRY-B.0-C.1.csv b/tasks/readable/089/gold_csv/GQRY-B.0-C.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..f1dcbf3f2a9a1baaf7381b3cfc77e4f07d142c46 --- /dev/null +++ b/tasks/readable/089/gold_csv/GQRY-B.0-C.1.csv @@ -0,0 +1,10 @@ +event_id,event_name,snohomish_attendees +rec5XDvJLyxDsGZWc,Laugh Out Loud,1 +recEVTik3MlqbvLFi,October Speaker,1 +recI43CzsZ0Q625ma,September Speaker,1 +recLKj8BbTNqxFbTb,Registration,1 +recggMW2eyCYceNcy,October Meeting,1 +reciRZdAqNIKuMC96,November Speaker,1 +recmbOVHSyzXQZpQr,November Meeting,1 +recykdvf4LgsyA3wZ,Yearly Kickoff,1 +reczhS8wix6Kzbp9P,September Meeting,1 diff --git a/tasks/readable/089/gold_csv/GQRY-B.1-C.0.csv b/tasks/readable/089/gold_csv/GQRY-B.1-C.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..2a000c4fa92788e3dc462c9094c753ce870918fb --- /dev/null +++ b/tasks/readable/089/gold_csv/GQRY-B.1-C.0.csv @@ -0,0 +1,10 @@ +event_id,event_name,total_attendees +rec5XDvJLyxDsGZWc,Laugh Out Loud,20 +recEVTik3MlqbvLFi,October Speaker,29 +recI43CzsZ0Q625ma,September Speaker,27 +recLKj8BbTNqxFbTb,Registration,30 +recggMW2eyCYceNcy,October Meeting,23 +reciRZdAqNIKuMC96,November Speaker,27 +recmbOVHSyzXQZpQr,November Meeting,25 +recykdvf4LgsyA3wZ,Yearly Kickoff,30 +reczhS8wix6Kzbp9P,September Meeting,27 diff --git a/tasks/readable/089/gold_csv/GQRY-B.1-C.1.csv b/tasks/readable/089/gold_csv/GQRY-B.1-C.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..f1dcbf3f2a9a1baaf7381b3cfc77e4f07d142c46 --- /dev/null +++ b/tasks/readable/089/gold_csv/GQRY-B.1-C.1.csv @@ -0,0 +1,10 @@ +event_id,event_name,snohomish_attendees +rec5XDvJLyxDsGZWc,Laugh Out Loud,1 +recEVTik3MlqbvLFi,October Speaker,1 +recI43CzsZ0Q625ma,September Speaker,1 +recLKj8BbTNqxFbTb,Registration,1 +recggMW2eyCYceNcy,October Meeting,1 +reciRZdAqNIKuMC96,November Speaker,1 +recmbOVHSyzXQZpQr,November Meeting,1 +recykdvf4LgsyA3wZ,Yearly Kickoff,1 +reczhS8wix6Kzbp9P,September Meeting,1 diff --git a/tasks/readable/089/task_readable.sql b/tasks/readable/089/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..9167e4de8f485e66bd6630dc8b7451e570fe54e4 --- /dev/null +++ b/tasks/readable/089/task_readable.sql @@ -0,0 +1,289 @@ +/* +{ + "qid": "089", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "student_club", + "question": "List all events with large attendance and also attended by members in Snohomish, show the number of attendees for each event.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "large attendance", + "type": "infinite", + "ambiguity_type": "semantic_value", + "parameter_name": "attendance_threshold", + "parameter_dtype": "int", + "parameter_sample_operators": [ + ">", + ">=" + ], + "parameter_sample_values": [ + 2 + ], + "intended_parameter_operator": ">=", + "intended_parameter_value": 2 + }, + { + "id": "B", + "phrase": "Snohomish", + "type": "finite", + "ambiguity_type": "semantic_column", + "interpretations": [ + "Snohomish City", + "Snohomish County" + ], + "intended_interpretation_idx": 0 + }, + { + "id": "C", + "phrase": "number of attendees", + "type": "finite", + "ambiguity_type": "semantic_computation", + "interpretations": [ + "number of total attendees", + "number of attendees from Snohomish" + ], + "intended_interpretation_idx": 1 + } + ], + "gold_intended_query_id": "GQRY-B.0-C.1", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-B.0-C.0` ----- +/* +{ + "id": "GQRY-B.0-C.0", + "parameter_names": [ + "attendance_threshold" + ], + "parameter_values": { + "attendance_threshold": 2 + }, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] large attendance": ":attendance_threshold", + "[B] Snohomish": "Snohomish City", + "[C] number of attendees": "number of total attendees" + } + } +} +*/ +WITH events_with_large_attendance AS ( +SELECT e.event_id, e.event_name, COUNT(DISTINCT a.link_to_member) AS total_attendees +FROM event e +JOIN attendance a ON e.event_id = a.link_to_event +GROUP BY e.event_id, e.event_name +HAVING COUNT(a.link_to_member) >= :attendance_threshold +), +events_with_snohomish_attendees AS ( +SELECT DISTINCT e.event_id, e.event_name, COUNT(DISTINCT a.link_to_member) AS snohomish_attendees +FROM event e +JOIN attendance a ON e.event_id = a.link_to_event +JOIN member m ON a.link_to_member = m.member_id +JOIN zip_code z ON m.zip = z.zip_code +WHERE z.city = 'Snohomish' +GROUP BY e.event_id, e.event_name +) +SELECT ela.event_id, ela.event_name, ela.total_attendees +FROM events_with_large_attendance ela +JOIN events_with_snohomish_attendees esa ON ela.event_id = esa.event_id; +/* EXEC RESULT + event_id event_name total_attendees +rec5XDvJLyxDsGZWc Laugh Out Loud 20 +recEVTik3MlqbvLFi October Speaker 29 +recI43CzsZ0Q625ma September Speaker 27 +recLKj8BbTNqxFbTb Registration 30 +recggMW2eyCYceNcy October Meeting 23 +reciRZdAqNIKuMC96 November Speaker 27 +recmbOVHSyzXQZpQr November Meeting 25 +recykdvf4LgsyA3wZ Yearly Kickoff 30 +reczhS8wix6Kzbp9P September Meeting 27 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-B.0-C.1` ----- +/* +{ + "id": "GQRY-B.0-C.1", + "parameter_names": [ + "attendance_threshold" + ], + "parameter_values": { + "attendance_threshold": 2 + }, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] large attendance": ":attendance_threshold", + "[B] Snohomish": "Snohomish City", + "[C] number of attendees": "number of attendees from Snohomish" + } + } +} +*/ +WITH events_with_large_attendance AS ( +SELECT e.event_id, e.event_name, COUNT(DISTINCT a.link_to_member) AS total_attendees +FROM event e +JOIN attendance a ON e.event_id = a.link_to_event +GROUP BY e.event_id, e.event_name +HAVING COUNT(a.link_to_member) >= :attendance_threshold +), +events_with_snohomish_attendees AS ( +SELECT DISTINCT e.event_id, e.event_name, COUNT(DISTINCT a.link_to_member) AS snohomish_attendees +FROM event e +JOIN attendance a ON e.event_id = a.link_to_event +JOIN member m ON a.link_to_member = m.member_id +JOIN zip_code z ON m.zip = z.zip_code +WHERE z.city = 'Snohomish' +GROUP BY e.event_id, e.event_name +) +SELECT ela.event_id, ela.event_name, esa.snohomish_attendees +FROM events_with_large_attendance ela +JOIN events_with_snohomish_attendees esa ON ela.event_id = esa.event_id; +/* EXEC RESULT + event_id event_name snohomish_attendees +rec5XDvJLyxDsGZWc Laugh Out Loud 1 +recEVTik3MlqbvLFi October Speaker 1 +recI43CzsZ0Q625ma September Speaker 1 +recLKj8BbTNqxFbTb Registration 1 +recggMW2eyCYceNcy October Meeting 1 +reciRZdAqNIKuMC96 November Speaker 1 +recmbOVHSyzXQZpQr November Meeting 1 +recykdvf4LgsyA3wZ Yearly Kickoff 1 +reczhS8wix6Kzbp9P September Meeting 1 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-B.1-C.0` ----- +/* +{ + "id": "GQRY-B.1-C.0", + "parameter_names": [ + "attendance_threshold" + ], + "parameter_values": { + "attendance_threshold": 2 + }, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] large attendance": ":attendance_threshold", + "[B] Snohomish": "Snohomish County", + "[C] number of attendees": "number of total attendees" + } + } +} +*/ +WITH events_with_large_attendance AS ( +SELECT e.event_id, e.event_name, COUNT(DISTINCT a.link_to_member) AS total_attendees +FROM event e +JOIN attendance a ON e.event_id = a.link_to_event +GROUP BY e.event_id, e.event_name +HAVING COUNT(a.link_to_member) >= :attendance_threshold +), +events_with_snohomish_attendees AS ( +SELECT DISTINCT e.event_id, e.event_name, COUNT(DISTINCT a.link_to_member) AS snohomish_attendees +FROM event e +JOIN attendance a ON e.event_id = a.link_to_event +JOIN member m ON a.link_to_member = m.member_id +JOIN zip_code z ON m.zip = z.zip_code +WHERE z.county = 'Snohomish County' +GROUP BY e.event_id, e.event_name +) +SELECT ela.event_id, ela.event_name, ela.total_attendees +FROM events_with_large_attendance ela +JOIN events_with_snohomish_attendees esa ON ela.event_id = esa.event_id; +/* EXEC RESULT + event_id event_name total_attendees +rec5XDvJLyxDsGZWc Laugh Out Loud 20 +recEVTik3MlqbvLFi October Speaker 29 +recI43CzsZ0Q625ma September Speaker 27 +recLKj8BbTNqxFbTb Registration 30 +recggMW2eyCYceNcy October Meeting 23 +reciRZdAqNIKuMC96 November Speaker 27 +recmbOVHSyzXQZpQr November Meeting 25 +recykdvf4LgsyA3wZ Yearly Kickoff 30 +reczhS8wix6Kzbp9P September Meeting 27 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-B.1-C.1` ----- +/* +{ + "id": "GQRY-B.1-C.1", + "parameter_names": [ + "attendance_threshold" + ], + "parameter_values": { + "attendance_threshold": 2 + }, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] large attendance": ":attendance_threshold", + "[B] Snohomish": "Snohomish County", + "[C] number of attendees": "number of attendees from Snohomish" + } + } +} +*/ +WITH events_with_large_attendance AS ( +SELECT e.event_id, e.event_name, COUNT(DISTINCT a.link_to_member) AS total_attendees +FROM event e +JOIN attendance a ON e.event_id = a.link_to_event +GROUP BY e.event_id, e.event_name +HAVING COUNT(a.link_to_member) >= :attendance_threshold +), +events_with_snohomish_attendees AS ( +SELECT DISTINCT e.event_id, e.event_name, COUNT(DISTINCT a.link_to_member) AS snohomish_attendees +FROM event e +JOIN attendance a ON e.event_id = a.link_to_event +JOIN member m ON a.link_to_member = m.member_id +JOIN zip_code z ON m.zip = z.zip_code +WHERE z.county = 'Snohomish County' +GROUP BY e.event_id, e.event_name +) +SELECT ela.event_id, ela.event_name, esa.snohomish_attendees +FROM events_with_large_attendance ela +JOIN events_with_snohomish_attendees esa ON ela.event_id = esa.event_id; +/* EXEC RESULT + event_id event_name snohomish_attendees +rec5XDvJLyxDsGZWc Laugh Out Loud 1 +recEVTik3MlqbvLFi October Speaker 1 +recI43CzsZ0Q625ma September Speaker 1 +recLKj8BbTNqxFbTb Registration 1 +recggMW2eyCYceNcy October Meeting 1 +reciRZdAqNIKuMC96 November Speaker 1 +recmbOVHSyzXQZpQr November Meeting 1 +recykdvf4LgsyA3wZ Yearly Kickoff 1 +reczhS8wix6Kzbp9P September Meeting 1 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/090/gold_csv/GQRY-A.0.csv b/tasks/readable/090/gold_csv/GQRY-A.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..fa3f6cc323dca6fbb516a862c85cbe617d1ffdcb --- /dev/null +++ b/tasks/readable/090/gold_csv/GQRY-A.0.csv @@ -0,0 +1 @@ +event_id,event_name,location diff --git a/tasks/readable/090/gold_csv/GQRY-A.1.csv b/tasks/readable/090/gold_csv/GQRY-A.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..0272f21f403899d463ef25380b3620948bf6a634 --- /dev/null +++ b/tasks/readable/090/gold_csv/GQRY-A.1.csv @@ -0,0 +1,14 @@ +event_id,event_name,location +rec2N69DMcrqN9PJC,Women's Soccer,Campus Soccer/Lacrosse stadium +rec5XDvJLyxDsGZWc,Laugh Out Loud,900 E. Washington St. +recEVTik3MlqbvLFi,October Speaker,MU 215 +recGxVCwaLW3mDIa3,Football game,Campus Football stadium +recI43CzsZ0Q625ma,September Speaker,MU 215 +recIuIXdbLe5j5vCA,Football game,Campus Football stadium +recLKj8BbTNqxFbTb,Registration,Campus Common +recggMW2eyCYceNcy,October Meeting,MU 215 +reciRZdAqNIKuMC96,November Speaker,MU 215 +recmbOVHSyzXQZpQr,November Meeting,MU 215 +recvCUOytx5jPw7kh,Community Theater,100 W. Main Street +recykdvf4LgsyA3wZ,Yearly Kickoff,MU 215 +reczhS8wix6Kzbp9P,September Meeting,MU 215 diff --git a/tasks/readable/090/gold_csv/GQRY-A.10.csv b/tasks/readable/090/gold_csv/GQRY-A.10.csv new file mode 100644 index 0000000000000000000000000000000000000000..fa3f6cc323dca6fbb516a862c85cbe617d1ffdcb --- /dev/null +++ b/tasks/readable/090/gold_csv/GQRY-A.10.csv @@ -0,0 +1 @@ +event_id,event_name,location diff --git a/tasks/readable/090/gold_csv/GQRY-A.11.csv b/tasks/readable/090/gold_csv/GQRY-A.11.csv new file mode 100644 index 0000000000000000000000000000000000000000..fa3f6cc323dca6fbb516a862c85cbe617d1ffdcb --- /dev/null +++ b/tasks/readable/090/gold_csv/GQRY-A.11.csv @@ -0,0 +1 @@ +event_id,event_name,location diff --git a/tasks/readable/090/gold_csv/GQRY-A.12.csv b/tasks/readable/090/gold_csv/GQRY-A.12.csv new file mode 100644 index 0000000000000000000000000000000000000000..fa3f6cc323dca6fbb516a862c85cbe617d1ffdcb --- /dev/null +++ b/tasks/readable/090/gold_csv/GQRY-A.12.csv @@ -0,0 +1 @@ +event_id,event_name,location diff --git a/tasks/readable/090/gold_csv/GQRY-A.13.csv b/tasks/readable/090/gold_csv/GQRY-A.13.csv new file mode 100644 index 0000000000000000000000000000000000000000..fa3f6cc323dca6fbb516a862c85cbe617d1ffdcb --- /dev/null +++ b/tasks/readable/090/gold_csv/GQRY-A.13.csv @@ -0,0 +1 @@ +event_id,event_name,location diff --git a/tasks/readable/090/gold_csv/GQRY-A.14.csv b/tasks/readable/090/gold_csv/GQRY-A.14.csv new file mode 100644 index 0000000000000000000000000000000000000000..fa3f6cc323dca6fbb516a862c85cbe617d1ffdcb --- /dev/null +++ b/tasks/readable/090/gold_csv/GQRY-A.14.csv @@ -0,0 +1 @@ +event_id,event_name,location diff --git a/tasks/readable/090/gold_csv/GQRY-A.15.csv b/tasks/readable/090/gold_csv/GQRY-A.15.csv new file mode 100644 index 0000000000000000000000000000000000000000..0272f21f403899d463ef25380b3620948bf6a634 --- /dev/null +++ b/tasks/readable/090/gold_csv/GQRY-A.15.csv @@ -0,0 +1,14 @@ +event_id,event_name,location +rec2N69DMcrqN9PJC,Women's Soccer,Campus Soccer/Lacrosse stadium +rec5XDvJLyxDsGZWc,Laugh Out Loud,900 E. Washington St. +recEVTik3MlqbvLFi,October Speaker,MU 215 +recGxVCwaLW3mDIa3,Football game,Campus Football stadium +recI43CzsZ0Q625ma,September Speaker,MU 215 +recIuIXdbLe5j5vCA,Football game,Campus Football stadium +recLKj8BbTNqxFbTb,Registration,Campus Common +recggMW2eyCYceNcy,October Meeting,MU 215 +reciRZdAqNIKuMC96,November Speaker,MU 215 +recmbOVHSyzXQZpQr,November Meeting,MU 215 +recvCUOytx5jPw7kh,Community Theater,100 W. Main Street +recykdvf4LgsyA3wZ,Yearly Kickoff,MU 215 +reczhS8wix6Kzbp9P,September Meeting,MU 215 diff --git a/tasks/readable/090/gold_csv/GQRY-A.16.csv b/tasks/readable/090/gold_csv/GQRY-A.16.csv new file mode 100644 index 0000000000000000000000000000000000000000..fa3f6cc323dca6fbb516a862c85cbe617d1ffdcb --- /dev/null +++ b/tasks/readable/090/gold_csv/GQRY-A.16.csv @@ -0,0 +1 @@ +event_id,event_name,location diff --git a/tasks/readable/090/gold_csv/GQRY-A.2.csv b/tasks/readable/090/gold_csv/GQRY-A.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..fa3f6cc323dca6fbb516a862c85cbe617d1ffdcb --- /dev/null +++ b/tasks/readable/090/gold_csv/GQRY-A.2.csv @@ -0,0 +1 @@ +event_id,event_name,location diff --git a/tasks/readable/090/gold_csv/GQRY-A.3.csv b/tasks/readable/090/gold_csv/GQRY-A.3.csv new file mode 100644 index 0000000000000000000000000000000000000000..fa3f6cc323dca6fbb516a862c85cbe617d1ffdcb --- /dev/null +++ b/tasks/readable/090/gold_csv/GQRY-A.3.csv @@ -0,0 +1 @@ +event_id,event_name,location diff --git a/tasks/readable/090/gold_csv/GQRY-A.4.csv b/tasks/readable/090/gold_csv/GQRY-A.4.csv new file mode 100644 index 0000000000000000000000000000000000000000..fa3f6cc323dca6fbb516a862c85cbe617d1ffdcb --- /dev/null +++ b/tasks/readable/090/gold_csv/GQRY-A.4.csv @@ -0,0 +1 @@ +event_id,event_name,location diff --git a/tasks/readable/090/gold_csv/GQRY-A.5.csv b/tasks/readable/090/gold_csv/GQRY-A.5.csv new file mode 100644 index 0000000000000000000000000000000000000000..fa3f6cc323dca6fbb516a862c85cbe617d1ffdcb --- /dev/null +++ b/tasks/readable/090/gold_csv/GQRY-A.5.csv @@ -0,0 +1 @@ +event_id,event_name,location diff --git a/tasks/readable/090/gold_csv/GQRY-A.6.csv b/tasks/readable/090/gold_csv/GQRY-A.6.csv new file mode 100644 index 0000000000000000000000000000000000000000..fa3f6cc323dca6fbb516a862c85cbe617d1ffdcb --- /dev/null +++ b/tasks/readable/090/gold_csv/GQRY-A.6.csv @@ -0,0 +1 @@ +event_id,event_name,location diff --git a/tasks/readable/090/gold_csv/GQRY-A.7.csv b/tasks/readable/090/gold_csv/GQRY-A.7.csv new file mode 100644 index 0000000000000000000000000000000000000000..fa3f6cc323dca6fbb516a862c85cbe617d1ffdcb --- /dev/null +++ b/tasks/readable/090/gold_csv/GQRY-A.7.csv @@ -0,0 +1 @@ +event_id,event_name,location diff --git a/tasks/readable/090/gold_csv/GQRY-A.8.csv b/tasks/readable/090/gold_csv/GQRY-A.8.csv new file mode 100644 index 0000000000000000000000000000000000000000..fa3f6cc323dca6fbb516a862c85cbe617d1ffdcb --- /dev/null +++ b/tasks/readable/090/gold_csv/GQRY-A.8.csv @@ -0,0 +1 @@ +event_id,event_name,location diff --git a/tasks/readable/090/gold_csv/GQRY-A.9.csv b/tasks/readable/090/gold_csv/GQRY-A.9.csv new file mode 100644 index 0000000000000000000000000000000000000000..fa3f6cc323dca6fbb516a862c85cbe617d1ffdcb --- /dev/null +++ b/tasks/readable/090/gold_csv/GQRY-A.9.csv @@ -0,0 +1 @@ +event_id,event_name,location diff --git a/tasks/readable/090/task_readable.sql b/tasks/readable/090/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..26b1857d51b6fe7b8a6251d15a61d4633857e1af --- /dev/null +++ b/tasks/readable/090/task_readable.sql @@ -0,0 +1,619 @@ +/* +{ + "qid": "090", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "student_club", + "question": "List all events attended by members in Albany, including their name and location.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "Albany", + "type": "finite", + "ambiguity_type": "semantic_computation", + "interpretations": [ + "Albany city, Vermont", + "Albany city, New York", + "Albany city, Georgia", + "Albany city, Kentucky", + "Albany city, Ohio", + "Albany city, Indiana", + "Albany city, Wisconsin", + "Albany city, Minnesota", + "Albany city, Illinois", + "Albany city, Missouri", + "Albany city, Louisiana", + "Albany city, Oklahoma", + "Albany city, Texas", + "Albany city, California", + "Albany city, Oregon", + "Albany county, New York", + "Albany county, Wyoming" + ], + "intended_interpretation_idx": 15 + } + ], + "gold_intended_query_id": "GQRY-A.15", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0` ----- +/* +{ + "id": "GQRY-A.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Albany": "Albany city, Vermont" + } + } +} +*/ +SELECT DISTINCT e.event_id, e.event_name, e.location +FROM event AS e +JOIN attendance AS a ON e.event_id = a.link_to_event +JOIN member AS m ON a.link_to_member = m.member_id +JOIN zip_code AS z ON m.zip = z.zip_code +WHERE z.state = 'Vermont' AND z.city = 'Albany'; +/* EXEC RESULT +Empty DataFrame +Columns: [event_id, event_name, location] +Index: [] +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1` ----- +/* +{ + "id": "GQRY-A.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Albany": "Albany city, New York" + } + } +} +*/ +SELECT DISTINCT e.event_id, e.event_name, e.location +FROM event AS e +JOIN attendance AS a ON e.event_id = a.link_to_event +JOIN member AS m ON a.link_to_member = m.member_id +JOIN zip_code AS z ON m.zip = z.zip_code +WHERE z.state = 'New York' AND z.city = 'Albany'; +/* EXEC RESULT + event_id event_name location +rec2N69DMcrqN9PJC Women's Soccer Campus Soccer/Lacrosse stadium +rec5XDvJLyxDsGZWc Laugh Out Loud 900 E. Washington St. +recEVTik3MlqbvLFi October Speaker MU 215 +recGxVCwaLW3mDIa3 Football game Campus Football stadium +recI43CzsZ0Q625ma September Speaker MU 215 +... TRUNCATED ... +reciRZdAqNIKuMC96 November Speaker MU 215 +recmbOVHSyzXQZpQr November Meeting MU 215 +recvCUOytx5jPw7kh Community Theater 100 W. Main Street +recykdvf4LgsyA3wZ Yearly Kickoff MU 215 +reczhS8wix6Kzbp9P September Meeting MU 215 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.2` ----- +/* +{ + "id": "GQRY-A.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Albany": "Albany city, Georgia" + } + } +} +*/ +SELECT DISTINCT e.event_id, e.event_name, e.location +FROM event AS e +JOIN attendance AS a ON e.event_id = a.link_to_event +JOIN member AS m ON a.link_to_member = m.member_id +JOIN zip_code AS z ON m.zip = z.zip_code +WHERE z.state = 'Georgia' AND z.city = 'Albany'; +/* EXEC RESULT +Empty DataFrame +Columns: [event_id, event_name, location] +Index: [] +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.3` ----- +/* +{ + "id": "GQRY-A.3", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Albany": "Albany city, Kentucky" + } + } +} +*/ +SELECT DISTINCT e.event_id, e.event_name, e.location +FROM event AS e +JOIN attendance AS a ON e.event_id = a.link_to_event +JOIN member AS m ON a.link_to_member = m.member_id +JOIN zip_code AS z ON m.zip = z.zip_code +WHERE z.state = 'Kentucky' AND z.city = 'Albany'; +/* EXEC RESULT +Empty DataFrame +Columns: [event_id, event_name, location] +Index: [] +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.4` ----- +/* +{ + "id": "GQRY-A.4", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Albany": "Albany city, Ohio" + } + } +} +*/ +SELECT DISTINCT e.event_id, e.event_name, e.location +FROM event AS e +JOIN attendance AS a ON e.event_id = a.link_to_event +JOIN member AS m ON a.link_to_member = m.member_id +JOIN zip_code AS z ON m.zip = z.zip_code +WHERE z.state = 'Ohio' AND z.city = 'Albany'; +/* EXEC RESULT +Empty DataFrame +Columns: [event_id, event_name, location] +Index: [] +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.5` ----- +/* +{ + "id": "GQRY-A.5", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Albany": "Albany city, Indiana" + } + } +} +*/ +SELECT DISTINCT e.event_id, e.event_name, e.location +FROM event AS e +JOIN attendance AS a ON e.event_id = a.link_to_event +JOIN member AS m ON a.link_to_member = m.member_id +JOIN zip_code AS z ON m.zip = z.zip_code +WHERE z.state = 'Indiana' AND z.city = 'Albany'; +/* EXEC RESULT +Empty DataFrame +Columns: [event_id, event_name, location] +Index: [] +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.6` ----- +/* +{ + "id": "GQRY-A.6", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Albany": "Albany city, Wisconsin" + } + } +} +*/ +SELECT DISTINCT e.event_id, e.event_name, e.location +FROM event AS e +JOIN attendance AS a ON e.event_id = a.link_to_event +JOIN member AS m ON a.link_to_member = m.member_id +JOIN zip_code AS z ON m.zip = z.zip_code +WHERE z.state = 'Wisconsin' AND z.city = 'Albany'; +/* EXEC RESULT +Empty DataFrame +Columns: [event_id, event_name, location] +Index: [] +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.7` ----- +/* +{ + "id": "GQRY-A.7", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Albany": "Albany city, Minnesota" + } + } +} +*/ +SELECT DISTINCT e.event_id, e.event_name, e.location +FROM event AS e +JOIN attendance AS a ON e.event_id = a.link_to_event +JOIN member AS m ON a.link_to_member = m.member_id +JOIN zip_code AS z ON m.zip = z.zip_code +WHERE z.state = 'Minnesota' AND z.city = 'Albany'; +/* EXEC RESULT +Empty DataFrame +Columns: [event_id, event_name, location] +Index: [] +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.8` ----- +/* +{ + "id": "GQRY-A.8", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Albany": "Albany city, Illinois" + } + } +} +*/ +SELECT DISTINCT e.event_id, e.event_name, e.location +FROM event AS e +JOIN attendance AS a ON e.event_id = a.link_to_event +JOIN member AS m ON a.link_to_member = m.member_id +JOIN zip_code AS z ON m.zip = z.zip_code +WHERE z.state = 'Illinois' AND z.city = 'Albany'; +/* EXEC RESULT +Empty DataFrame +Columns: [event_id, event_name, location] +Index: [] +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.9` ----- +/* +{ + "id": "GQRY-A.9", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Albany": "Albany city, Missouri" + } + } +} +*/ +SELECT DISTINCT e.event_id, e.event_name, e.location +FROM event AS e +JOIN attendance AS a ON e.event_id = a.link_to_event +JOIN member AS m ON a.link_to_member = m.member_id +JOIN zip_code AS z ON m.zip = z.zip_code +WHERE z.state = 'Missouri' AND z.city = 'Albany'; +/* EXEC RESULT +Empty DataFrame +Columns: [event_id, event_name, location] +Index: [] +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.10` ----- +/* +{ + "id": "GQRY-A.10", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Albany": "Albany city, Louisiana" + } + } +} +*/ +SELECT DISTINCT e.event_id, e.event_name, e.location +FROM event AS e +JOIN attendance AS a ON e.event_id = a.link_to_event +JOIN member AS m ON a.link_to_member = m.member_id +JOIN zip_code AS z ON m.zip = z.zip_code +WHERE z.state = 'Louisiana' AND z.city = 'Albany'; +/* EXEC RESULT +Empty DataFrame +Columns: [event_id, event_name, location] +Index: [] +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.11` ----- +/* +{ + "id": "GQRY-A.11", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Albany": "Albany city, Oklahoma" + } + } +} +*/ +SELECT DISTINCT e.event_id, e.event_name, e.location +FROM event AS e +JOIN attendance AS a ON e.event_id = a.link_to_event +JOIN member AS m ON a.link_to_member = m.member_id +JOIN zip_code AS z ON m.zip = z.zip_code +WHERE z.state = 'Oklahoma' AND z.city = 'Albany'; +/* EXEC RESULT +Empty DataFrame +Columns: [event_id, event_name, location] +Index: [] +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.12` ----- +/* +{ + "id": "GQRY-A.12", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Albany": "Albany city, Texas" + } + } +} +*/ +SELECT DISTINCT e.event_id, e.event_name, e.location +FROM event AS e +JOIN attendance AS a ON e.event_id = a.link_to_event +JOIN member AS m ON a.link_to_member = m.member_id +JOIN zip_code AS z ON m.zip = z.zip_code +WHERE z.state = 'Texas' AND z.city = 'Albany'; +/* EXEC RESULT +Empty DataFrame +Columns: [event_id, event_name, location] +Index: [] +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.13` ----- +/* +{ + "id": "GQRY-A.13", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Albany": "Albany city, California" + } + } +} +*/ +SELECT DISTINCT e.event_id, e.event_name, e.location +FROM event AS e +JOIN attendance AS a ON e.event_id = a.link_to_event +JOIN member AS m ON a.link_to_member = m.member_id +JOIN zip_code AS z ON m.zip = z.zip_code +WHERE z.state = 'California' AND z.city = 'Albany'; +/* EXEC RESULT +Empty DataFrame +Columns: [event_id, event_name, location] +Index: [] +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.14` ----- +/* +{ + "id": "GQRY-A.14", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Albany": "Albany city, Oregon" + } + } +} +*/ +SELECT DISTINCT e.event_id, e.event_name, e.location +FROM event AS e +JOIN attendance AS a ON e.event_id = a.link_to_event +JOIN member AS m ON a.link_to_member = m.member_id +JOIN zip_code AS z ON m.zip = z.zip_code +WHERE z.state = 'Oregon' AND z.city = 'Albany'; +/* EXEC RESULT +Empty DataFrame +Columns: [event_id, event_name, location] +Index: [] +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.15` ----- +/* +{ + "id": "GQRY-A.15", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Albany": "Albany county, New York" + } + } +} +*/ +SELECT DISTINCT e.event_id, e.event_name, e.location +FROM event AS e +JOIN attendance AS a ON e.event_id = a.link_to_event +JOIN member AS m ON a.link_to_member = m.member_id +JOIN zip_code AS z ON m.zip = z.zip_code +WHERE z.state = 'New York' AND z.county = 'Albany County'; +/* EXEC RESULT + event_id event_name location +rec2N69DMcrqN9PJC Women's Soccer Campus Soccer/Lacrosse stadium +rec5XDvJLyxDsGZWc Laugh Out Loud 900 E. Washington St. +recEVTik3MlqbvLFi October Speaker MU 215 +recGxVCwaLW3mDIa3 Football game Campus Football stadium +recI43CzsZ0Q625ma September Speaker MU 215 +... TRUNCATED ... +reciRZdAqNIKuMC96 November Speaker MU 215 +recmbOVHSyzXQZpQr November Meeting MU 215 +recvCUOytx5jPw7kh Community Theater 100 W. Main Street +recykdvf4LgsyA3wZ Yearly Kickoff MU 215 +reczhS8wix6Kzbp9P September Meeting MU 215 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.16` ----- +/* +{ + "id": "GQRY-A.16", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Albany": "Albany county, Wyoming" + } + } +} +*/ +SELECT DISTINCT e.event_id, e.event_name, e.location +FROM event AS e +JOIN attendance AS a ON e.event_id = a.link_to_event +JOIN member AS m ON a.link_to_member = m.member_id +JOIN zip_code AS z ON m.zip = z.zip_code +WHERE z.state = 'Wyoming' AND z.county = 'Albany County'; +/* EXEC RESULT +Empty DataFrame +Columns: [event_id, event_name, location] +Index: [] +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/091/gold_csv/GQRY.csv b/tasks/readable/091/gold_csv/GQRY.csv new file mode 100644 index 0000000000000000000000000000000000000000..56f8f35ded6efd3a347e7bfa4d0f2ce9c4f13746 --- /dev/null +++ b/tasks/readable/091/gold_csv/GQRY.csv @@ -0,0 +1,8 @@ +event_id,event_name,event_date +rec0akZnLLpGUloLH,Officers meeting - January,2020-01-14T09:30:00 +rec180D2MI4EpckHy,Officers meeting - March,2020-03-10T09:30:00 +recJ4Witp9tpjaugn,Officers meeting - November,2019-11-05T09:30:00 +recLrY8kyOR1PcZeF,Officers meeting - April,2020-04-07T09:30:00 +recMKjJbWRgSQqf4Y,Officers meeting - September,2019-09-10T09:30:00 +recWJFyajeK4jCNYz,Officers meeting - February,2020-02-11T09:30:00 +recc8dizaKrSz3GmH,Officers meeting - October,2019-10-08T09:30:00 diff --git a/tasks/readable/091/task_readable.sql b/tasks/readable/091/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..6366ac98ba04281dcd7d215c64409f5b4326ad29 --- /dev/null +++ b/tasks/readable/091/task_readable.sql @@ -0,0 +1,70 @@ +/* +{ + "qid": "091", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "student_club", + "question": "List all meetings held in early morning.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "early morning", + "type": "infinite", + "ambiguity_type": "semantic_value", + "parameter_name": "time_threshold", + "parameter_dtype": "str", + "parameter_sample_operators": [ + "<", + "<=" + ], + "parameter_sample_values": [ + "09:45:00" + ], + "intended_parameter_operator": "<=", + "intended_parameter_value": "09:45:00" + } + ], + "gold_intended_query_id": "GQRY", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY` ----- +/* +{ + "id": "GQRY", + "parameter_names": [ + "time_threshold" + ], + "parameter_values": { + "time_threshold": "09:45:00" + }, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] early morning": ":time_threshold" + } + } +} +*/ +SELECT event_id, event_name, event_date +FROM event +WHERE type = 'Meeting' +AND time(event_date) <= :time_threshold; +/* EXEC RESULT + event_id event_name event_date +rec0akZnLLpGUloLH Officers meeting - January 2020-01-14T09:30:00 +rec180D2MI4EpckHy Officers meeting - March 2020-03-10T09:30:00 +recJ4Witp9tpjaugn Officers meeting - November 2019-11-05T09:30:00 +recLrY8kyOR1PcZeF Officers meeting - April 2020-04-07T09:30:00 +recMKjJbWRgSQqf4Y Officers meeting - September 2019-09-10T09:30:00 +recWJFyajeK4jCNYz Officers meeting - February 2020-02-11T09:30:00 +recc8dizaKrSz3GmH Officers meeting - October 2019-10-08T09:30:00 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/092/gold_csv/GQRY-A.0-B.0.csv b/tasks/readable/092/gold_csv/GQRY-A.0-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..59c8a6cc17ac52807c35f261d86899ec8868c648 --- /dev/null +++ b/tasks/readable/092/gold_csv/GQRY-A.0-B.0.csv @@ -0,0 +1,10 @@ +event_id,event_name,total_funds +recEVTik3MlqbvLFi,October Speaker,25 +recI43CzsZ0Q625ma,September Speaker,25 +recIuIXdbLe5j5vCA,Football game,0 +recLKj8BbTNqxFbTb,Registration,0 +recggMW2eyCYceNcy,October Meeting,0 +reciRZdAqNIKuMC96,November Speaker,25 +recmbOVHSyzXQZpQr,November Meeting,0 +recykdvf4LgsyA3wZ,Yearly Kickoff,0 +reczhS8wix6Kzbp9P,September Meeting,0 diff --git a/tasks/readable/092/gold_csv/GQRY-A.0-B.1.csv b/tasks/readable/092/gold_csv/GQRY-A.0-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..59c8a6cc17ac52807c35f261d86899ec8868c648 --- /dev/null +++ b/tasks/readable/092/gold_csv/GQRY-A.0-B.1.csv @@ -0,0 +1,10 @@ +event_id,event_name,total_funds +recEVTik3MlqbvLFi,October Speaker,25 +recI43CzsZ0Q625ma,September Speaker,25 +recIuIXdbLe5j5vCA,Football game,0 +recLKj8BbTNqxFbTb,Registration,0 +recggMW2eyCYceNcy,October Meeting,0 +reciRZdAqNIKuMC96,November Speaker,25 +recmbOVHSyzXQZpQr,November Meeting,0 +recykdvf4LgsyA3wZ,Yearly Kickoff,0 +reczhS8wix6Kzbp9P,September Meeting,0 diff --git a/tasks/readable/092/gold_csv/GQRY-A.1-B.0.csv b/tasks/readable/092/gold_csv/GQRY-A.1-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..e874892fdabf732151a1ea99f8f56b091d07b405 --- /dev/null +++ b/tasks/readable/092/gold_csv/GQRY-A.1-B.0.csv @@ -0,0 +1,10 @@ +event_id,event_name,total_speaker_gifts_funds,total_t_shirts_funds +recEVTik3MlqbvLFi,October Speaker,25,0 +recI43CzsZ0Q625ma,September Speaker,25,0 +recIuIXdbLe5j5vCA,Football game,0,0 +recLKj8BbTNqxFbTb,Registration,0,0 +recggMW2eyCYceNcy,October Meeting,0,0 +reciRZdAqNIKuMC96,November Speaker,25,0 +recmbOVHSyzXQZpQr,November Meeting,0,0 +recykdvf4LgsyA3wZ,Yearly Kickoff,0,0 +reczhS8wix6Kzbp9P,September Meeting,0,0 diff --git a/tasks/readable/092/gold_csv/GQRY-A.1-B.1.csv b/tasks/readable/092/gold_csv/GQRY-A.1-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..e874892fdabf732151a1ea99f8f56b091d07b405 --- /dev/null +++ b/tasks/readable/092/gold_csv/GQRY-A.1-B.1.csv @@ -0,0 +1,10 @@ +event_id,event_name,total_speaker_gifts_funds,total_t_shirts_funds +recEVTik3MlqbvLFi,October Speaker,25,0 +recI43CzsZ0Q625ma,September Speaker,25,0 +recIuIXdbLe5j5vCA,Football game,0,0 +recLKj8BbTNqxFbTb,Registration,0,0 +recggMW2eyCYceNcy,October Meeting,0,0 +reciRZdAqNIKuMC96,November Speaker,25,0 +recmbOVHSyzXQZpQr,November Meeting,0,0 +recykdvf4LgsyA3wZ,Yearly Kickoff,0,0 +reczhS8wix6Kzbp9P,September Meeting,0,0 diff --git a/tasks/readable/092/task_readable.sql b/tasks/readable/092/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..c780a410b4295d21b92ab21af89b8f99eb898377 --- /dev/null +++ b/tasks/readable/092/task_readable.sql @@ -0,0 +1,244 @@ +/* +{ + "qid": "092", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "student_club", + "question": "Find the total funds allocated for speaker gifts and t-shirts for each event attended by members in Georgetown in South Carolina.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "total funds allocated for speaker gifts and t-shirts", + "type": "finite", + "ambiguity_type": "syntactic_computation", + "interpretations": [ + "total funds for speaker gifts and t-shirts (single number)", + "total funds for speaker gifts and total funds for t-shirts (two separate numbers)" + ], + "intended_interpretation_idx": 0 + }, + { + "id": "B", + "phrase": "Georgetown in South Carolina", + "type": "finite", + "ambiguity_type": "semantic_column", + "interpretations": [ + "Georgetown City, South Carolina", + "Georgetown County, South Carolina" + ], + "intended_interpretation_idx": 1 + } + ], + "gold_intended_query_id": "GQRY-A.0-B.1", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0-B.0` ----- +/* +{ + "id": "GQRY-A.0-B.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] total funds allocated for speaker gifts and t-shirts": "total funds for speaker gifts and t-shirts (single number)", + "[B] Georgetown in South Carolina": "Georgetown City, South Carolina" + } + } +} +*/ +WITH georgetown_events AS ( +SELECT DISTINCT e.event_id, e.event_name +FROM event e +JOIN attendance a ON e.event_id = a.link_to_event +JOIN member m ON a.link_to_member = m.member_id +JOIN zip_code z ON z.zip_code = m.zip +WHERE z.city = 'Georgetown' +AND z.state = 'South Carolina' +) +SELECT +ge.event_id, +ge.event_name, +COALESCE(SUM(CASE WHEN b.category IN ('Speaker Gifts', 'T-Shirts') THEN b.amount ELSE 0 END), 0) AS total_funds +FROM georgetown_events ge +LEFT JOIN budget b ON ge.event_id = b.link_to_event +GROUP BY ge.event_id, ge.event_name; +/* EXEC RESULT + event_id event_name total_funds +recEVTik3MlqbvLFi October Speaker 25 +recI43CzsZ0Q625ma September Speaker 25 +recIuIXdbLe5j5vCA Football game 0 +recLKj8BbTNqxFbTb Registration 0 +recggMW2eyCYceNcy October Meeting 0 +reciRZdAqNIKuMC96 November Speaker 25 +recmbOVHSyzXQZpQr November Meeting 0 +recykdvf4LgsyA3wZ Yearly Kickoff 0 +reczhS8wix6Kzbp9P September Meeting 0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.1` ----- +/* +{ + "id": "GQRY-A.0-B.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] total funds allocated for speaker gifts and t-shirts": "total funds for speaker gifts and t-shirts (single number)", + "[B] Georgetown in South Carolina": "Georgetown County, South Carolina" + } + } +} +*/ +WITH georgetown_events AS ( +SELECT DISTINCT e.event_id, e.event_name +FROM event e +JOIN attendance a ON e.event_id = a.link_to_event +JOIN member m ON a.link_to_member = m.member_id +JOIN zip_code z ON z.zip_code = m.zip +WHERE z.county = 'Georgetown County' +AND z.state = 'South Carolina' +) +SELECT +ge.event_id, +ge.event_name, +COALESCE(SUM(CASE WHEN b.category IN ('Speaker Gifts', 'T-Shirts') THEN b.amount ELSE 0 END), 0) AS total_funds +FROM georgetown_events ge +LEFT JOIN budget b ON ge.event_id = b.link_to_event +GROUP BY ge.event_id, ge.event_name; +/* EXEC RESULT + event_id event_name total_funds +recEVTik3MlqbvLFi October Speaker 25 +recI43CzsZ0Q625ma September Speaker 25 +recIuIXdbLe5j5vCA Football game 0 +recLKj8BbTNqxFbTb Registration 0 +recggMW2eyCYceNcy October Meeting 0 +reciRZdAqNIKuMC96 November Speaker 25 +recmbOVHSyzXQZpQr November Meeting 0 +recykdvf4LgsyA3wZ Yearly Kickoff 0 +reczhS8wix6Kzbp9P September Meeting 0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.0` ----- +/* +{ + "id": "GQRY-A.1-B.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2, + 3 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] total funds allocated for speaker gifts and t-shirts": "total funds for speaker gifts and total funds for t-shirts (two separate numbers)", + "[B] Georgetown in South Carolina": "Georgetown City, South Carolina" + } + } +} +*/ +WITH georgetown_events AS ( +SELECT DISTINCT e.event_id, e.event_name +FROM event e +JOIN attendance a ON e.event_id = a.link_to_event +JOIN member m ON a.link_to_member = m.member_id +JOIN zip_code z ON z.zip_code = m.zip +WHERE z.city = 'Georgetown' +AND z.state = 'South Carolina' +) +SELECT +ge.event_id, +ge.event_name, +COALESCE(SUM(CASE WHEN b.category = 'Speaker Gifts' THEN b.amount ELSE 0 END), 0) AS total_speaker_gifts_funds, +COALESCE(SUM(CASE WHEN b.category = 'T-Shirts' THEN b.amount ELSE 0 END), 0) AS total_t_shirts_funds +FROM georgetown_events ge +LEFT JOIN budget b ON ge.event_id = b.link_to_event +GROUP BY ge.event_id, ge.event_name; +/* EXEC RESULT + event_id event_name total_speaker_gifts_funds total_t_shirts_funds +recEVTik3MlqbvLFi October Speaker 25 0 +recI43CzsZ0Q625ma September Speaker 25 0 +recIuIXdbLe5j5vCA Football game 0 0 +recLKj8BbTNqxFbTb Registration 0 0 +recggMW2eyCYceNcy October Meeting 0 0 +reciRZdAqNIKuMC96 November Speaker 25 0 +recmbOVHSyzXQZpQr November Meeting 0 0 +recykdvf4LgsyA3wZ Yearly Kickoff 0 0 +reczhS8wix6Kzbp9P September Meeting 0 0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.1` ----- +/* +{ + "id": "GQRY-A.1-B.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2, + 3 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] total funds allocated for speaker gifts and t-shirts": "total funds for speaker gifts and total funds for t-shirts (two separate numbers)", + "[B] Georgetown in South Carolina": "Georgetown County, South Carolina" + } + } +} +*/ +WITH georgetown_events AS ( +SELECT DISTINCT e.event_id, e.event_name +FROM event e +JOIN attendance a ON e.event_id = a.link_to_event +JOIN member m ON a.link_to_member = m.member_id +JOIN zip_code z ON z.zip_code = m.zip +WHERE z.county = 'Georgetown County' +AND z.state = 'South Carolina' +) +SELECT +ge.event_id, +ge.event_name, +COALESCE(SUM(CASE WHEN b.category = 'Speaker Gifts' THEN b.amount ELSE 0 END), 0) AS total_speaker_gifts_funds, +COALESCE(SUM(CASE WHEN b.category = 'T-Shirts' THEN b.amount ELSE 0 END), 0) AS total_t_shirts_funds +FROM georgetown_events ge +LEFT JOIN budget b ON ge.event_id = b.link_to_event +GROUP BY ge.event_id, ge.event_name; +/* EXEC RESULT + event_id event_name total_speaker_gifts_funds total_t_shirts_funds +recEVTik3MlqbvLFi October Speaker 25 0 +recI43CzsZ0Q625ma September Speaker 25 0 +recIuIXdbLe5j5vCA Football game 0 0 +recLKj8BbTNqxFbTb Registration 0 0 +recggMW2eyCYceNcy October Meeting 0 0 +reciRZdAqNIKuMC96 November Speaker 25 0 +recmbOVHSyzXQZpQr November Meeting 0 0 +recykdvf4LgsyA3wZ Yearly Kickoff 0 0 +reczhS8wix6Kzbp9P September Meeting 0 0 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/093/gold_csv/GQRY-A.0-B.0.csv b/tasks/readable/093/gold_csv/GQRY-A.0-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..7ca82b9cd58a1adfa98472ea0a05c41ec44f49d8 --- /dev/null +++ b/tasks/readable/093/gold_csv/GQRY-A.0-B.0.csv @@ -0,0 +1,3 @@ +zip_code,member_count +25411,0 +25422,0 diff --git a/tasks/readable/093/gold_csv/GQRY-A.0-B.1.csv b/tasks/readable/093/gold_csv/GQRY-A.0-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..a29af11927901c72973492df79e49b43c93b67c3 --- /dev/null +++ b/tasks/readable/093/gold_csv/GQRY-A.0-B.1.csv @@ -0,0 +1,5 @@ +zip_code,member_count +30623,0 +30625,0 +30650,0 +30663,0 diff --git a/tasks/readable/093/gold_csv/GQRY-A.0-B.10.csv b/tasks/readable/093/gold_csv/GQRY-A.0-B.10.csv new file mode 100644 index 0000000000000000000000000000000000000000..28e4f654f8f574169adc909aa5891800247bb3e0 --- /dev/null +++ b/tasks/readable/093/gold_csv/GQRY-A.0-B.10.csv @@ -0,0 +1,3 @@ +zip_code,member_count +84018,0 +84050,0 diff --git a/tasks/readable/093/gold_csv/GQRY-A.0-B.2.csv b/tasks/readable/093/gold_csv/GQRY-A.0-B.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..14a12f6f3fca1b8bad51ecb42753334f2e04b004 --- /dev/null +++ b/tasks/readable/093/gold_csv/GQRY-A.0-B.2.csv @@ -0,0 +1,14 @@ +zip_code,member_count +35601,0 +35602,0 +35603,0 +35609,0 +35619,0 +35621,0 +35622,0 +35640,1 +35670,0 +35673,0 +35699,0 +35754,0 +35775,0 diff --git a/tasks/readable/093/gold_csv/GQRY-A.0-B.3.csv b/tasks/readable/093/gold_csv/GQRY-A.0-B.3.csv new file mode 100644 index 0000000000000000000000000000000000000000..2a2c339ebe0413fd7a50b8670d87c47a6c6e0d77 --- /dev/null +++ b/tasks/readable/093/gold_csv/GQRY-A.0-B.3.csv @@ -0,0 +1,9 @@ +zip_code,member_count +37719,0 +37726,0 +37733,0 +37770,0 +37829,0 +37845,0 +37872,0 +37887,0 diff --git a/tasks/readable/093/gold_csv/GQRY-A.0-B.4.csv b/tasks/readable/093/gold_csv/GQRY-A.0-B.4.csv new file mode 100644 index 0000000000000000000000000000000000000000..6442a6fc61ce77c01753e5f737f492e434270899 --- /dev/null +++ b/tasks/readable/093/gold_csv/GQRY-A.0-B.4.csv @@ -0,0 +1,10 @@ +zip_code,member_count +41352,0 +41408,0 +41413,0 +41421,0 +41425,0 +41451,0 +41459,0 +41472,0 +41477,0 diff --git a/tasks/readable/093/gold_csv/GQRY-A.0-B.5.csv b/tasks/readable/093/gold_csv/GQRY-A.0-B.5.csv new file mode 100644 index 0000000000000000000000000000000000000000..e927aee6e39cae229ae7b704b7732b825993d69f --- /dev/null +++ b/tasks/readable/093/gold_csv/GQRY-A.0-B.5.csv @@ -0,0 +1,5 @@ +zip_code,member_count +43728,0 +43756,0 +43758,0 +43787,0 diff --git a/tasks/readable/093/gold_csv/GQRY-A.0-B.6.csv b/tasks/readable/093/gold_csv/GQRY-A.0-B.6.csv new file mode 100644 index 0000000000000000000000000000000000000000..939c0c2f52f60cacec6effbbf5bd752c7571f55e --- /dev/null +++ b/tasks/readable/093/gold_csv/GQRY-A.0-B.6.csv @@ -0,0 +1,7 @@ +zip_code,member_count +46111,0 +46125,0 +46151,0 +46157,0 +46158,0 +46166,0 diff --git a/tasks/readable/093/gold_csv/GQRY-A.0-B.7.csv b/tasks/readable/093/gold_csv/GQRY-A.0-B.7.csv new file mode 100644 index 0000000000000000000000000000000000000000..e35dbe64fefa79821270e529503d3b466a048f14 --- /dev/null +++ b/tasks/readable/093/gold_csv/GQRY-A.0-B.7.csv @@ -0,0 +1,12 @@ +zip_code,member_count +62601,0 +62628,0 +62631,0 +62638,0 +62650,0 +62651,0 +62660,0 +62665,0 +62668,0 +62692,0 +62695,0 diff --git a/tasks/readable/093/gold_csv/GQRY-A.0-B.8.csv b/tasks/readable/093/gold_csv/GQRY-A.0-B.8.csv new file mode 100644 index 0000000000000000000000000000000000000000..2ce31efd1d5bbcf39e452f82c18a48c6db49eb72 --- /dev/null +++ b/tasks/readable/093/gold_csv/GQRY-A.0-B.8.csv @@ -0,0 +1,10 @@ +zip_code,member_count +65011,0 +65034,0 +65037,0 +65038,0 +65072,0 +65078,0 +65084,0 +65329,0 +65354,0 diff --git a/tasks/readable/093/gold_csv/GQRY-A.0-B.9.csv b/tasks/readable/093/gold_csv/GQRY-A.0-B.9.csv new file mode 100644 index 0000000000000000000000000000000000000000..7450e184ef80292a2193120c2255bcda9e4170b4 --- /dev/null +++ b/tasks/readable/093/gold_csv/GQRY-A.0-B.9.csv @@ -0,0 +1,9 @@ +zip_code,member_count +80649,0 +80653,0 +80654,0 +80701,0 +80705,0 +80723,0 +80733,0 +80750,0 diff --git a/tasks/readable/093/gold_csv/GQRY-A.1-B.0.csv b/tasks/readable/093/gold_csv/GQRY-A.1-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..1efc785d066eb8d0e5111518a2a39259e610c11a --- /dev/null +++ b/tasks/readable/093/gold_csv/GQRY-A.1-B.0.csv @@ -0,0 +1,3 @@ +city,member_count +Berkeley Springs,0 +Great Cacapon,0 diff --git a/tasks/readable/093/gold_csv/GQRY-A.1-B.1.csv b/tasks/readable/093/gold_csv/GQRY-A.1-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..055256022d3f23e733414c0ad2545efb73b6e0ac --- /dev/null +++ b/tasks/readable/093/gold_csv/GQRY-A.1-B.1.csv @@ -0,0 +1,5 @@ +city,member_count +Bostwick,0 +Buckhead,0 +Madison,0 +Rutledge,0 diff --git a/tasks/readable/093/gold_csv/GQRY-A.1-B.10.csv b/tasks/readable/093/gold_csv/GQRY-A.1-B.10.csv new file mode 100644 index 0000000000000000000000000000000000000000..a68c881f4cbc37c11a981e719d1649f362156e10 --- /dev/null +++ b/tasks/readable/093/gold_csv/GQRY-A.1-B.10.csv @@ -0,0 +1,3 @@ +city,member_count +Croydon,0 +Morgan,0 diff --git a/tasks/readable/093/gold_csv/GQRY-A.1-B.2.csv b/tasks/readable/093/gold_csv/GQRY-A.1-B.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..d664a637ea0f0b2c3d65c3ee4a70734ad1d19fba --- /dev/null +++ b/tasks/readable/093/gold_csv/GQRY-A.1-B.2.csv @@ -0,0 +1,10 @@ +city,member_count +Danville,0 +Decatur,0 +Eva,0 +Falkville,0 +Hartselle,1 +Laceys Spring,0 +Somerville,0 +Trinity,0 +Valhermoso Springs,0 diff --git a/tasks/readable/093/gold_csv/GQRY-A.1-B.3.csv b/tasks/readable/093/gold_csv/GQRY-A.1-B.3.csv new file mode 100644 index 0000000000000000000000000000000000000000..a0a44d99ea24128ed5f69165aac8412827ec2b64 --- /dev/null +++ b/tasks/readable/093/gold_csv/GQRY-A.1-B.3.csv @@ -0,0 +1,9 @@ +city,member_count +Coalfield,0 +Deer Lodge,0 +Lancing,0 +Oakdale,0 +Petros,0 +Rugby,0 +Sunbright,0 +Wartburg,0 diff --git a/tasks/readable/093/gold_csv/GQRY-A.1-B.4.csv b/tasks/readable/093/gold_csv/GQRY-A.1-B.4.csv new file mode 100644 index 0000000000000000000000000000000000000000..c60018c6f4bc0f4f95f0a4937850b732b87ca2df --- /dev/null +++ b/tasks/readable/093/gold_csv/GQRY-A.1-B.4.csv @@ -0,0 +1,10 @@ +city,member_count +Cannel City,0 +Crockett,0 +Elkfork,0 +Ezel,0 +Malone,0 +Mize,0 +Ophir,0 +West Liberty,0 +Wrigley,0 diff --git a/tasks/readable/093/gold_csv/GQRY-A.1-B.5.csv b/tasks/readable/093/gold_csv/GQRY-A.1-B.5.csv new file mode 100644 index 0000000000000000000000000000000000000000..688840fc3fe485ae77575591fbccf9d7697aaa20 --- /dev/null +++ b/tasks/readable/093/gold_csv/GQRY-A.1-B.5.csv @@ -0,0 +1,5 @@ +city,member_count +Chesterhill,0 +Malta,0 +Mcconnelsville,0 +Stockport,0 diff --git a/tasks/readable/093/gold_csv/GQRY-A.1-B.6.csv b/tasks/readable/093/gold_csv/GQRY-A.1-B.6.csv new file mode 100644 index 0000000000000000000000000000000000000000..ae6f717162391d048cf057ba77e3c55487b9d19b --- /dev/null +++ b/tasks/readable/093/gold_csv/GQRY-A.1-B.6.csv @@ -0,0 +1,7 @@ +city,member_count +Brooklyn,0 +Eminence,0 +Martinsville,0 +Monrovia,0 +Mooresville,0 +Paragon,0 diff --git a/tasks/readable/093/gold_csv/GQRY-A.1-B.7.csv b/tasks/readable/093/gold_csv/GQRY-A.1-B.7.csv new file mode 100644 index 0000000000000000000000000000000000000000..e0bc3ea4b9f0331e05857a73088047d643d71159 --- /dev/null +++ b/tasks/readable/093/gold_csv/GQRY-A.1-B.7.csv @@ -0,0 +1,11 @@ +city,member_count +Alexander,0 +Chapin,0 +Concord,0 +Franklin,0 +Jacksonville,0 +Literberry,0 +Meredosia,0 +Murrayville,0 +Waverly,0 +Woodson,0 diff --git a/tasks/readable/093/gold_csv/GQRY-A.1-B.8.csv b/tasks/readable/093/gold_csv/GQRY-A.1-B.8.csv new file mode 100644 index 0000000000000000000000000000000000000000..130738f2c1e491c127bb0f09b5e15ebc0ca559a6 --- /dev/null +++ b/tasks/readable/093/gold_csv/GQRY-A.1-B.8.csv @@ -0,0 +1,10 @@ +city,member_count +Barnett,0 +Florence,0 +Fortuna,0 +Gravois Mills,0 +Laurie,0 +Rocky Mount,0 +Stover,0 +Syracuse,0 +Versailles,0 diff --git a/tasks/readable/093/gold_csv/GQRY-A.1-B.9.csv b/tasks/readable/093/gold_csv/GQRY-A.1-B.9.csv new file mode 100644 index 0000000000000000000000000000000000000000..ffdf4ea120d185943a68e8581e5ee5f57adbccf4 --- /dev/null +++ b/tasks/readable/093/gold_csv/GQRY-A.1-B.9.csv @@ -0,0 +1,9 @@ +city,member_count +Brush,0 +Fort Morgan,0 +Hillrose,0 +Log Lane Village,0 +Orchard,0 +Snyder,0 +Weldona,0 +Wiggins,0 diff --git a/tasks/readable/093/task_readable.sql b/tasks/readable/093/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..9b61d603e4a792210c734dfe188e2399cb952c3f --- /dev/null +++ b/tasks/readable/093/task_readable.sql @@ -0,0 +1,806 @@ +/* +{ + "qid": "093", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "student_club", + "question": "Show the number of members for each region in the Morgan County .", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "region", + "type": "finite", + "ambiguity_type": "semantic_column", + "interpretations": [ + "zip code", + "city" + ], + "intended_interpretation_idx": 0 + }, + { + "id": "B", + "phrase": "Morgan County", + "type": "finite", + "ambiguity_type": "semantic_value", + "interpretations": [ + "Morgan County, West Virginia", + "Morgan County, Georgia", + "Morgan County, Alabama", + "Morgan County, Tennessee", + "Morgan County, Kentucky", + "Morgan County, Ohio", + "Morgan County, Indiana", + "Morgan County, Illinois", + "Morgan County, Missouri", + "Morgan County, Colorado", + "Morgan County, Utah" + ], + "intended_interpretation_idx": 8 + } + ], + "gold_intended_query_id": "GQRY-A.0-B.8", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0-B.0` ----- +/* +{ + "id": "GQRY-A.0-B.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] region": "zip code", + "[B] Morgan County": "Morgan County, West Virginia" + } + } +} +*/ +SELECT z.zip_code, COUNT(DISTINCT m.member_id) as member_count +FROM zip_code z +LEFT JOIN member m ON z.zip_code = m.zip +WHERE z.county = 'Morgan County' AND z.state = 'West Virginia' +GROUP BY z.zip_code; +/* EXEC RESULT + zip_code member_count + 25411 0 + 25422 0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.1` ----- +/* +{ + "id": "GQRY-A.0-B.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] region": "zip code", + "[B] Morgan County": "Morgan County, Georgia" + } + } +} +*/ +SELECT z.zip_code, COUNT(DISTINCT m.member_id) as member_count +FROM zip_code z +LEFT JOIN member m ON z.zip_code = m.zip +WHERE z.county = 'Morgan County' AND z.state = 'Georgia' +GROUP BY z.zip_code; +/* EXEC RESULT + zip_code member_count + 30623 0 + 30625 0 + 30650 0 + 30663 0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.2` ----- +/* +{ + "id": "GQRY-A.0-B.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] region": "zip code", + "[B] Morgan County": "Morgan County, Alabama" + } + } +} +*/ +SELECT z.zip_code, COUNT(DISTINCT m.member_id) as member_count +FROM zip_code z +LEFT JOIN member m ON z.zip_code = m.zip +WHERE z.county = 'Morgan County' AND z.state = 'Alabama' +GROUP BY z.zip_code; +/* EXEC RESULT + zip_code member_count + 35601 0 + 35602 0 + 35603 0 + 35609 0 + 35619 0 +... TRUNCATED ... + 35670 0 + 35673 0 + 35699 0 + 35754 0 + 35775 0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.3` ----- +/* +{ + "id": "GQRY-A.0-B.3", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] region": "zip code", + "[B] Morgan County": "Morgan County, Tennessee" + } + } +} +*/ +SELECT z.zip_code, COUNT(DISTINCT m.member_id) as member_count +FROM zip_code z +LEFT JOIN member m ON z.zip_code = m.zip +WHERE z.county = 'Morgan County' AND z.state = 'Tennessee' +GROUP BY z.zip_code; +/* EXEC RESULT + zip_code member_count + 37719 0 + 37726 0 + 37733 0 + 37770 0 + 37829 0 + 37845 0 + 37872 0 + 37887 0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.4` ----- +/* +{ + "id": "GQRY-A.0-B.4", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] region": "zip code", + "[B] Morgan County": "Morgan County, Kentucky" + } + } +} +*/ +SELECT z.zip_code, COUNT(DISTINCT m.member_id) as member_count +FROM zip_code z +LEFT JOIN member m ON z.zip_code = m.zip +WHERE z.county = 'Morgan County' AND z.state = 'Kentucky' +GROUP BY z.zip_code; +/* EXEC RESULT + zip_code member_count + 41352 0 + 41408 0 + 41413 0 + 41421 0 + 41425 0 + 41451 0 + 41459 0 + 41472 0 + 41477 0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.5` ----- +/* +{ + "id": "GQRY-A.0-B.5", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] region": "zip code", + "[B] Morgan County": "Morgan County, Ohio" + } + } +} +*/ +SELECT z.zip_code, COUNT(DISTINCT m.member_id) as member_count +FROM zip_code z +LEFT JOIN member m ON z.zip_code = m.zip +WHERE z.county = 'Morgan County' AND z.state = 'Ohio' +GROUP BY z.zip_code; +/* EXEC RESULT + zip_code member_count + 43728 0 + 43756 0 + 43758 0 + 43787 0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.6` ----- +/* +{ + "id": "GQRY-A.0-B.6", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] region": "zip code", + "[B] Morgan County": "Morgan County, Indiana" + } + } +} +*/ +SELECT z.zip_code, COUNT(DISTINCT m.member_id) as member_count +FROM zip_code z +LEFT JOIN member m ON z.zip_code = m.zip +WHERE z.county = 'Morgan County' AND z.state = 'Indiana' +GROUP BY z.zip_code; +/* EXEC RESULT + zip_code member_count + 46111 0 + 46125 0 + 46151 0 + 46157 0 + 46158 0 + 46166 0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.7` ----- +/* +{ + "id": "GQRY-A.0-B.7", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] region": "zip code", + "[B] Morgan County": "Morgan County, Illinois" + } + } +} +*/ +SELECT z.zip_code, COUNT(DISTINCT m.member_id) as member_count +FROM zip_code z +LEFT JOIN member m ON z.zip_code = m.zip +WHERE z.county = 'Morgan County' AND z.state = 'Illinois' +GROUP BY z.zip_code; +/* EXEC RESULT + zip_code member_count + 62601 0 + 62628 0 + 62631 0 + 62638 0 + 62650 0 +... TRUNCATED ... + 62660 0 + 62665 0 + 62668 0 + 62692 0 + 62695 0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.8` ----- +/* +{ + "id": "GQRY-A.0-B.8", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] region": "zip code", + "[B] Morgan County": "Morgan County, Missouri" + } + } +} +*/ +SELECT z.zip_code, COUNT(DISTINCT m.member_id) as member_count +FROM zip_code z +LEFT JOIN member m ON z.zip_code = m.zip +WHERE z.county = 'Morgan County' AND z.state = 'Missouri' +GROUP BY z.zip_code; +/* EXEC RESULT + zip_code member_count + 65011 0 + 65034 0 + 65037 0 + 65038 0 + 65072 0 + 65078 0 + 65084 0 + 65329 0 + 65354 0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.9` ----- +/* +{ + "id": "GQRY-A.0-B.9", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] region": "zip code", + "[B] Morgan County": "Morgan County, Colorado" + } + } +} +*/ +SELECT z.zip_code, COUNT(DISTINCT m.member_id) as member_count +FROM zip_code z +LEFT JOIN member m ON z.zip_code = m.zip +WHERE z.county = 'Morgan County' AND z.state = 'Colorado' +GROUP BY z.zip_code; +/* EXEC RESULT + zip_code member_count + 80649 0 + 80653 0 + 80654 0 + 80701 0 + 80705 0 + 80723 0 + 80733 0 + 80750 0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.10` ----- +/* +{ + "id": "GQRY-A.0-B.10", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] region": "zip code", + "[B] Morgan County": "Morgan County, Utah" + } + } +} +*/ +SELECT z.zip_code, COUNT(DISTINCT m.member_id) as member_count +FROM zip_code z +LEFT JOIN member m ON z.zip_code = m.zip +WHERE z.county = 'Morgan County' AND z.state = 'Utah' +GROUP BY z.zip_code; +/* EXEC RESULT + zip_code member_count + 84018 0 + 84050 0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.0` ----- +/* +{ + "id": "GQRY-A.1-B.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] region": "city", + "[B] Morgan County": "Morgan County, West Virginia" + } + } +} +*/ +SELECT z.city, COUNT(DISTINCT m.member_id) as member_count +FROM zip_code z +LEFT JOIN member m ON z.zip_code = m.zip +WHERE z.county = 'Morgan County' AND z.state = 'West Virginia' +GROUP BY z.city; +/* EXEC RESULT + city member_count +Berkeley Springs 0 + Great Cacapon 0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.1` ----- +/* +{ + "id": "GQRY-A.1-B.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] region": "city", + "[B] Morgan County": "Morgan County, Georgia" + } + } +} +*/ +SELECT z.city, COUNT(DISTINCT m.member_id) as member_count +FROM zip_code z +LEFT JOIN member m ON z.zip_code = m.zip +WHERE z.county = 'Morgan County' AND z.state = 'Georgia' +GROUP BY z.city; +/* EXEC RESULT + city member_count +Bostwick 0 +Buckhead 0 + Madison 0 +Rutledge 0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.2` ----- +/* +{ + "id": "GQRY-A.1-B.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] region": "city", + "[B] Morgan County": "Morgan County, Alabama" + } + } +} +*/ +SELECT z.city, COUNT(DISTINCT m.member_id) as member_count +FROM zip_code z +LEFT JOIN member m ON z.zip_code = m.zip +WHERE z.county = 'Morgan County' AND z.state = 'Alabama' +GROUP BY z.city; +/* EXEC RESULT + city member_count + Danville 0 + Decatur 0 + Eva 0 + Falkville 0 + Hartselle 1 + Laceys Spring 0 + Somerville 0 + Trinity 0 +Valhermoso Springs 0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.3` ----- +/* +{ + "id": "GQRY-A.1-B.3", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] region": "city", + "[B] Morgan County": "Morgan County, Tennessee" + } + } +} +*/ +SELECT z.city, COUNT(DISTINCT m.member_id) as member_count +FROM zip_code z +LEFT JOIN member m ON z.zip_code = m.zip +WHERE z.county = 'Morgan County' AND z.state = 'Tennessee' +GROUP BY z.city; +/* EXEC RESULT + city member_count + Coalfield 0 +Deer Lodge 0 + Lancing 0 + Oakdale 0 + Petros 0 + Rugby 0 + Sunbright 0 + Wartburg 0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.4` ----- +/* +{ + "id": "GQRY-A.1-B.4", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] region": "city", + "[B] Morgan County": "Morgan County, Kentucky" + } + } +} +*/ +SELECT z.city, COUNT(DISTINCT m.member_id) as member_count +FROM zip_code z +LEFT JOIN member m ON z.zip_code = m.zip +WHERE z.county = 'Morgan County' AND z.state = 'Kentucky' +GROUP BY z.city; +/* EXEC RESULT + city member_count + Cannel City 0 + Crockett 0 + Elkfork 0 + Ezel 0 + Malone 0 + Mize 0 + Ophir 0 +West Liberty 0 + Wrigley 0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.5` ----- +/* +{ + "id": "GQRY-A.1-B.5", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] region": "city", + "[B] Morgan County": "Morgan County, Ohio" + } + } +} +*/ +SELECT z.city, COUNT(DISTINCT m.member_id) as member_count +FROM zip_code z +LEFT JOIN member m ON z.zip_code = m.zip +WHERE z.county = 'Morgan County' AND z.state = 'Ohio' +GROUP BY z.city; +/* EXEC RESULT + city member_count + Chesterhill 0 + Malta 0 +Mcconnelsville 0 + Stockport 0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.6` ----- +/* +{ + "id": "GQRY-A.1-B.6", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] region": "city", + "[B] Morgan County": "Morgan County, Indiana" + } + } +} +*/ +SELECT z.city, COUNT(DISTINCT m.member_id) as member_count +FROM zip_code z +LEFT JOIN member m ON z.zip_code = m.zip +WHERE z.county = 'Morgan County' AND z.state = 'Indiana' +GROUP BY z.city; +/* EXEC RESULT + city member_count + Brooklyn 0 + Eminence 0 +Martinsville 0 + Monrovia 0 + Mooresville 0 + Paragon 0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.7` ----- +/* +{ + "id": "GQRY-A.1-B.7", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] region": "city", + "[B] Morgan County": "Morgan County, Illinois" + } + } +} +*/ +SELECT z.city, COUNT(DISTINCT m.member_id) as member_count +FROM zip_code z +LEFT JOIN member m ON z.zip_code = m.zip +WHERE z.county = 'Morgan County' AND z.state = 'Illinois' +GROUP BY z.city; +/* EXEC RESULT + city member_count + Alexander 0 + Chapin 0 + Concord 0 + Franklin 0 +Jacksonville 0 + Literberry 0 + Meredosia 0 + Murrayville 0 + Waverly 0 + Woodson 0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.8` ----- +/* +{ + "id": "GQRY-A.1-B.8", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] region": "city", + "[B] Morgan County": "Morgan County, Missouri" + } + } +} +*/ +SELECT z.city, COUNT(DISTINCT m.member_id) as member_count +FROM zip_code z +LEFT JOIN member m ON z.zip_code = m.zip +WHERE z.county = 'Morgan County' AND z.state = 'Missouri' +GROUP BY z.city; +/* EXEC RESULT + city member_count + Barnett 0 + Florence 0 + Fortuna 0 +Gravois Mills 0 + Laurie 0 + Rocky Mount 0 + Stover 0 + Syracuse 0 + Versailles 0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.9` ----- +/* +{ + "id": "GQRY-A.1-B.9", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] region": "city", + "[B] Morgan County": "Morgan County, Colorado" + } + } +} +*/ +SELECT z.city, COUNT(DISTINCT m.member_id) as member_count +FROM zip_code z +LEFT JOIN member m ON z.zip_code = m.zip +WHERE z.county = 'Morgan County' AND z.state = 'Colorado' +GROUP BY z.city; +/* EXEC RESULT + city member_count + Brush 0 + Fort Morgan 0 + Hillrose 0 +Log Lane Village 0 + Orchard 0 + Snyder 0 + Weldona 0 + Wiggins 0 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.10` ----- +/* +{ + "id": "GQRY-A.1-B.10", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] region": "city", + "[B] Morgan County": "Morgan County, Utah" + } + } +} +*/ +SELECT z.city, COUNT(DISTINCT m.member_id) as member_count +FROM zip_code z +LEFT JOIN member m ON z.zip_code = m.zip +WHERE z.county = 'Morgan County' AND z.state = 'Utah' +GROUP BY z.city; +/* EXEC RESULT + city member_count +Croydon 0 + Morgan 0 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/094/gold_csv/GQRY.csv b/tasks/readable/094/gold_csv/GQRY.csv new file mode 100644 index 0000000000000000000000000000000000000000..622e8e839555e8460fe9b395b2edd28e016de19c --- /dev/null +++ b/tasks/readable/094/gold_csv/GQRY.csv @@ -0,0 +1,3 @@ +event_id,event_name,event_date,total_remaining_budget +rec5XDvJLyxDsGZWc,Laugh Out Loud,2019-10-24T13:00:00,0 +recJcyZUsdhK2ukaY,Laugh Out Loud,2020-04-23T13:00:00,0 diff --git a/tasks/readable/094/task_readable.sql b/tasks/readable/094/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..816177c240a4cbd4115479ef8ad9a3829c35e20d --- /dev/null +++ b/tasks/readable/094/task_readable.sql @@ -0,0 +1,88 @@ +/* +{ + "qid": "094", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "student_club", + "question": "For each event held in the afternoon compute the total remaining budget.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "in the afternoon", + "type": "infinite", + "ambiguity_type": "semantic_value", + "parameter_name": "afternoon_start_time", + "parameter_dtype": "str", + "parameter_sample_operators": [ + ">", + ">=" + ], + "parameter_sample_values": [ + "12:30:00" + ], + "intended_parameter_operator": ">=", + "intended_parameter_value": "12:30:00" + }, + { + "id": "B", + "phrase": "in the afternoon", + "type": "infinite", + "ambiguity_type": "semantic_value", + "parameter_name": "afternoon_end_time", + "parameter_dtype": "str", + "parameter_sample_operators": [ + "<", + "<=" + ], + "parameter_sample_values": [ + "17:00:00" + ], + "intended_parameter_operator": "<=", + "intended_parameter_value": "17:00:00" + } + ], + "gold_intended_query_id": "GQRY", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY` ----- +/* +{ + "id": "GQRY", + "parameter_names": [ + "afternoon_start_time", + "afternoon_end_time" + ], + "parameter_values": { + "afternoon_start_time": "12:30:00", + "afternoon_end_time": "17:00:00" + }, + "other_exec_results": [], + "required_columns": [ + 1, + 3 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] in the afternoon": ":afternoon_start_time", + "[B] in the afternoon": ":afternoon_end_time" + } + } +} +*/ +SELECT e.event_id, e.event_name, e.event_date, COALESCE(SUM(b.remaining), 0) as total_remaining_budget +FROM event e +LEFT JOIN budget b ON e.event_id = b.link_to_event +WHERE time(e.event_date) >= :afternoon_start_time +AND time(e.event_date) <= :afternoon_end_time +GROUP BY e.event_id, e.event_name, e.event_date; +/* EXEC RESULT + event_id event_name event_date total_remaining_budget +rec5XDvJLyxDsGZWc Laugh Out Loud 2019-10-24T13:00:00 0 +recJcyZUsdhK2ukaY Laugh Out Loud 2020-04-23T13:00:00 0 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/095/gold_csv/GQRY-A.0-B.0.csv b/tasks/readable/095/gold_csv/GQRY-A.0-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..4174ddda1170d347bd2b634ce83f309fbcde456b --- /dev/null +++ b/tasks/readable/095/gold_csv/GQRY-A.0-B.0.csv @@ -0,0 +1,14 @@ +event_id,event_name,event_date,num_albany_attendees +rec2N69DMcrqN9PJC,Women's Soccer,2019-10-05T12:00:00,1 +rec5XDvJLyxDsGZWc,Laugh Out Loud,2019-10-24T13:00:00,1 +recEVTik3MlqbvLFi,October Speaker,2019-10-22T12:00:00,1 +recGxVCwaLW3mDIa3,Football game,2019-09-12T06:00:00,1 +recI43CzsZ0Q625ma,September Speaker,2019-09-24T12:00:00,1 +recIuIXdbLe5j5vCA,Football game,2019-10-10T06:00:00,1 +recLKj8BbTNqxFbTb,Registration,2019-09-01T07:00:00,1 +recggMW2eyCYceNcy,October Meeting,2019-10-08T12:00:00,1 +reciRZdAqNIKuMC96,November Speaker,2019-11-19T12:00:00,1 +recmbOVHSyzXQZpQr,November Meeting,2019-11-05T12:00:00,1 +recvCUOytx5jPw7kh,Community Theater,2019-10-12T06:00:00,1 +recykdvf4LgsyA3wZ,Yearly Kickoff,2019-09-03T12:00:00,1 +reczhS8wix6Kzbp9P,September Meeting,2019-09-10T12:00:00,1 diff --git a/tasks/readable/095/gold_csv/GQRY-A.0-B.1.csv b/tasks/readable/095/gold_csv/GQRY-A.0-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..380fe66d367859e2ddb54f3b21f64f01b962a84e --- /dev/null +++ b/tasks/readable/095/gold_csv/GQRY-A.0-B.1.csv @@ -0,0 +1,10 @@ +event_id,event_name,event_date,num_albany_attendees +rec2N69DMcrqN9PJC,Women's Soccer,2019-10-05T12:00:00,1 +rec5XDvJLyxDsGZWc,Laugh Out Loud,2019-10-24T13:00:00,1 +recEVTik3MlqbvLFi,October Speaker,2019-10-22T12:00:00,1 +recI43CzsZ0Q625ma,September Speaker,2019-09-24T12:00:00,1 +recIuIXdbLe5j5vCA,Football game,2019-10-10T06:00:00,1 +recggMW2eyCYceNcy,October Meeting,2019-10-08T12:00:00,1 +reciRZdAqNIKuMC96,November Speaker,2019-11-19T12:00:00,1 +recmbOVHSyzXQZpQr,November Meeting,2019-11-05T12:00:00,1 +recvCUOytx5jPw7kh,Community Theater,2019-10-12T06:00:00,1 diff --git a/tasks/readable/095/gold_csv/GQRY-A.1-B.0.csv b/tasks/readable/095/gold_csv/GQRY-A.1-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..8f2582424e7e963a430248b73cf05c8f5fcb31d3 --- /dev/null +++ b/tasks/readable/095/gold_csv/GQRY-A.1-B.0.csv @@ -0,0 +1 @@ +event_id,event_name,event_date,num_albany_attendees diff --git a/tasks/readable/095/gold_csv/GQRY-A.1-B.1.csv b/tasks/readable/095/gold_csv/GQRY-A.1-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..8f2582424e7e963a430248b73cf05c8f5fcb31d3 --- /dev/null +++ b/tasks/readable/095/gold_csv/GQRY-A.1-B.1.csv @@ -0,0 +1 @@ +event_id,event_name,event_date,num_albany_attendees diff --git a/tasks/readable/095/task_readable.sql b/tasks/readable/095/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..1e24913a24b89ff302ac85591f6d05322c173b0c --- /dev/null +++ b/tasks/readable/095/task_readable.sql @@ -0,0 +1,206 @@ +/* +{ + "qid": "095", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "student_club", + "question": "List all events attended by members in Albany County in the Autumn season.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "Albany County", + "type": "finite", + "ambiguity_type": "semantic_value", + "interpretations": [ + "Albany county, New York", + "Albany county, Wyoming" + ], + "intended_interpretation_idx": 0 + }, + { + "id": "B", + "phrase": "the Autumn season", + "type": "finite", + "ambiguity_type": "semantic_value", + "interpretations": [ + "Meteorological Autumn (September 1 to November 30)", + "Astronomical Autumn (September 23 to December 21)" + ], + "intended_interpretation_idx": 1 + } + ], + "gold_intended_query_id": "GQRY-A.0-B.1", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0-B.0` ----- +/* +{ + "id": "GQRY-A.0-B.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Albany County": "Albany county, New York", + "[B] the Autumn season": "Meteorological Autumn (September 1 to November 30)" + } + } +} +*/ +SELECT e.event_id, e.event_name, e.event_date, COUNT(DISTINCT m.member_id) AS num_albany_attendees +FROM event AS e +JOIN attendance AS a ON e.event_id = a.link_to_event +JOIN member AS m ON a.link_to_member = m.member_id +JOIN zip_code AS z ON m.zip = z.zip_code +WHERE z.state = 'New York' AND z.county = 'Albany County' +AND (strftime('%m', e.event_date) IN ('09', '10', '11')) +GROUP BY e.event_id, e.event_name; +/* EXEC RESULT + event_id event_name event_date num_albany_attendees +rec2N69DMcrqN9PJC Women's Soccer 2019-10-05T12:00:00 1 +rec5XDvJLyxDsGZWc Laugh Out Loud 2019-10-24T13:00:00 1 +recEVTik3MlqbvLFi October Speaker 2019-10-22T12:00:00 1 +recGxVCwaLW3mDIa3 Football game 2019-09-12T06:00:00 1 +recI43CzsZ0Q625ma September Speaker 2019-09-24T12:00:00 1 +... TRUNCATED ... +reciRZdAqNIKuMC96 November Speaker 2019-11-19T12:00:00 1 +recmbOVHSyzXQZpQr November Meeting 2019-11-05T12:00:00 1 +recvCUOytx5jPw7kh Community Theater 2019-10-12T06:00:00 1 +recykdvf4LgsyA3wZ Yearly Kickoff 2019-09-03T12:00:00 1 +reczhS8wix6Kzbp9P September Meeting 2019-09-10T12:00:00 1 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.1` ----- +/* +{ + "id": "GQRY-A.0-B.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Albany County": "Albany county, New York", + "[B] the Autumn season": "Astronomical Autumn (September 23 to December 21)" + } + } +} +*/ +SELECT e.event_id, e.event_name, e.event_date, COUNT(DISTINCT m.member_id) AS num_albany_attendees +FROM event AS e +JOIN attendance AS a ON e.event_id = a.link_to_event +JOIN member AS m ON a.link_to_member = m.member_id +JOIN zip_code AS z ON m.zip = z.zip_code +WHERE z.state = 'New York' +AND z.county = 'Albany County' +AND ( +(CAST(strftime('%m', e.event_date) AS INTEGER) = 9 +AND CAST(strftime('%d', e.event_date) AS INTEGER) >= 23) +OR (CAST(strftime('%m', e.event_date) AS INTEGER) IN (10, 11)) +OR (CAST(strftime('%m', e.event_date) AS INTEGER) = 12 +AND CAST(strftime('%d', e.event_date) AS INTEGER) <= 21) +) +GROUP BY e.event_id, e.event_name; +/* EXEC RESULT + event_id event_name event_date num_albany_attendees +rec2N69DMcrqN9PJC Women's Soccer 2019-10-05T12:00:00 1 +rec5XDvJLyxDsGZWc Laugh Out Loud 2019-10-24T13:00:00 1 +recEVTik3MlqbvLFi October Speaker 2019-10-22T12:00:00 1 +recI43CzsZ0Q625ma September Speaker 2019-09-24T12:00:00 1 +recIuIXdbLe5j5vCA Football game 2019-10-10T06:00:00 1 +recggMW2eyCYceNcy October Meeting 2019-10-08T12:00:00 1 +reciRZdAqNIKuMC96 November Speaker 2019-11-19T12:00:00 1 +recmbOVHSyzXQZpQr November Meeting 2019-11-05T12:00:00 1 +recvCUOytx5jPw7kh Community Theater 2019-10-12T06:00:00 1 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.0` ----- +/* +{ + "id": "GQRY-A.1-B.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Albany County": "Albany county, Wyoming", + "[B] the Autumn season": "Meteorological Autumn (September 1 to November 30)" + } + } +} +*/ +SELECT e.event_id, e.event_name, e.event_date, COUNT(DISTINCT m.member_id) AS num_albany_attendees +FROM event AS e +JOIN attendance AS a ON e.event_id = a.link_to_event +JOIN member AS m ON a.link_to_member = m.member_id +JOIN zip_code AS z ON m.zip = z.zip_code +WHERE z.state = 'Wyoming' AND z.county = 'Albany County' +AND (strftime('%m', e.event_date) IN ('09', '10', '11')) +GROUP BY e.event_id, e.event_name; +/* EXEC RESULT +Empty DataFrame +Columns: [event_id, event_name, event_date, num_albany_attendees] +Index: [] +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.1` ----- +/* +{ + "id": "GQRY-A.1-B.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] Albany County": "Albany county, Wyoming", + "[B] the Autumn season": "Astronomical Autumn (September 23 to December 21)" + } + } +} +*/ +SELECT e.event_id, e.event_name, e.event_date, COUNT(DISTINCT m.member_id) AS num_albany_attendees +FROM event AS e +JOIN attendance AS a ON e.event_id = a.link_to_event +JOIN member AS m ON a.link_to_member = m.member_id +JOIN zip_code AS z ON m.zip = z.zip_code +WHERE z.state = 'Wyoming' +AND z.county = 'Albany County' +AND ( +(CAST(strftime('%m', e.event_date) AS INTEGER) = 9 +AND CAST(strftime('%d', e.event_date) AS INTEGER) >= 23) +OR (CAST(strftime('%m', e.event_date) AS INTEGER) IN (10, 11)) +OR (CAST(strftime('%m', e.event_date) AS INTEGER) = 12 +AND CAST(strftime('%d', e.event_date) AS INTEGER) <= 21) +) +GROUP BY e.event_id, e.event_name; +/* EXEC RESULT +Empty DataFrame +Columns: [event_id, event_name, event_date, num_albany_attendees] +Index: [] +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/096/gold_csv/GQRY-A.0-B.0.csv b/tasks/readable/096/gold_csv/GQRY-A.0-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..6c700fad22d22efcb0200d701e0f3b11a5ea51e5 --- /dev/null +++ b/tasks/readable/096/gold_csv/GQRY-A.0-B.0.csv @@ -0,0 +1,6 @@ +first_name,last_name,major,phone,event_name +Luisa,Guidi,Civil Engineering,442-555-5882,Football game +Luisa,Guidi,Civil Engineering,442-555-5882,September Speaker +Luisa,Guidi,Civil Engineering,442-555-5882,Registration +Luisa,Guidi,Civil Engineering,442-555-5882,Yearly Kickoff +Luisa,Guidi,Civil Engineering,442-555-5882,September Meeting diff --git a/tasks/readable/096/gold_csv/GQRY-A.0-B.1.csv b/tasks/readable/096/gold_csv/GQRY-A.0-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..eb942ca5b45730b59efbb623317bf4db7a2e9772 --- /dev/null +++ b/tasks/readable/096/gold_csv/GQRY-A.0-B.1.csv @@ -0,0 +1,2 @@ +first_name,last_name,major,phone,event_name +Luisa,Guidi,Civil Engineering,442-555-5882,Registration diff --git a/tasks/readable/096/gold_csv/GQRY-A.1-B.0.csv b/tasks/readable/096/gold_csv/GQRY-A.1-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..6c700fad22d22efcb0200d701e0f3b11a5ea51e5 --- /dev/null +++ b/tasks/readable/096/gold_csv/GQRY-A.1-B.0.csv @@ -0,0 +1,6 @@ +first_name,last_name,major,phone,event_name +Luisa,Guidi,Civil Engineering,442-555-5882,Football game +Luisa,Guidi,Civil Engineering,442-555-5882,September Speaker +Luisa,Guidi,Civil Engineering,442-555-5882,Registration +Luisa,Guidi,Civil Engineering,442-555-5882,Yearly Kickoff +Luisa,Guidi,Civil Engineering,442-555-5882,September Meeting diff --git a/tasks/readable/096/gold_csv/GQRY-A.1-B.1.csv b/tasks/readable/096/gold_csv/GQRY-A.1-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..eb942ca5b45730b59efbb623317bf4db7a2e9772 --- /dev/null +++ b/tasks/readable/096/gold_csv/GQRY-A.1-B.1.csv @@ -0,0 +1,2 @@ +first_name,last_name,major,phone,event_name +Luisa,Guidi,Civil Engineering,442-555-5882,Registration diff --git a/tasks/readable/096/gold_csv/GQRY-A.2-B.0.csv b/tasks/readable/096/gold_csv/GQRY-A.2-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..da530a192d39be1009a20d55329424193c956d90 --- /dev/null +++ b/tasks/readable/096/gold_csv/GQRY-A.2-B.0.csv @@ -0,0 +1,26 @@ +first_name,last_name,major,phone,event_name +Katy,Balentine,Forest Ecology and Management,716-555-3845,Football game +Luisa,Guidi,Civil Engineering,442-555-5882,Football game +Maya,Mclean,Environmental Engineering,435-555-8128,Football game +Carlo,Jacobs,International Business,928-555-2577,Football game +Casey,Mason,Conservation and Restoration Ecology,676-555-7843,Football game +Katy,Balentine,Forest Ecology and Management,716-555-3845,September Speaker +Luisa,Guidi,Civil Engineering,442-555-5882,September Speaker +Maya,Mclean,Environmental Engineering,435-555-8128,September Speaker +Carlo,Jacobs,International Business,928-555-2577,September Speaker +Katy,Balentine,Forest Ecology and Management,716-555-3845,Registration +Luisa,Guidi,Civil Engineering,442-555-5882,Registration +Maya,Mclean,Environmental Engineering,435-555-8128,Registration +Casey,Mason,Conservation and Restoration Ecology,676-555-7843,Registration +Carlo,Jacobs,International Business,928-555-2577,Registration +Maya,Mclean,Environmental Engineering,435-555-8128,Kid's Care +Katy,Balentine,Forest Ecology and Management,716-555-3845,Yearly Kickoff +Luisa,Guidi,Civil Engineering,442-555-5882,Yearly Kickoff +Maya,Mclean,Environmental Engineering,435-555-8128,Yearly Kickoff +Casey,Mason,Conservation and Restoration Ecology,676-555-7843,Yearly Kickoff +Carlo,Jacobs,International Business,928-555-2577,Yearly Kickoff +Katy,Balentine,Forest Ecology and Management,716-555-3845,September Meeting +Casey,Mason,Conservation and Restoration Ecology,676-555-7843,September Meeting +Maya,Mclean,Environmental Engineering,435-555-8128,September Meeting +Carlo,Jacobs,International Business,928-555-2577,September Meeting +Luisa,Guidi,Civil Engineering,442-555-5882,September Meeting diff --git a/tasks/readable/096/gold_csv/GQRY-A.2-B.1.csv b/tasks/readable/096/gold_csv/GQRY-A.2-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..0be79d3b004acad9037b1428fcd072b4421c747b --- /dev/null +++ b/tasks/readable/096/gold_csv/GQRY-A.2-B.1.csv @@ -0,0 +1,6 @@ +first_name,last_name,major,phone,event_name +Katy,Balentine,Forest Ecology and Management,716-555-3845,Registration +Luisa,Guidi,Civil Engineering,442-555-5882,Registration +Maya,Mclean,Environmental Engineering,435-555-8128,Registration +Casey,Mason,Conservation and Restoration Ecology,676-555-7843,Registration +Carlo,Jacobs,International Business,928-555-2577,Registration diff --git a/tasks/readable/096/task_readable.sql b/tasks/readable/096/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..988ccdb9dc3ace442fff54af3ff81ea68e4c1d45 --- /dev/null +++ b/tasks/readable/096/task_readable.sql @@ -0,0 +1,278 @@ +/* +{ + "qid": "096", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "student_club", + "question": "List all members from New York who have signed up for events in September or October 1st in 2019 and display their major, phone number and the event name.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "New York", + "type": "finite", + "ambiguity_type": "semantic_column", + "interpretations": [ + "New York City", + "New York County", + "New York State" + ], + "intended_interpretation_idx": 0 + }, + { + "id": "B", + "phrase": "September or October 1st", + "type": "finite", + "ambiguity_type": "syntactic_value", + "interpretations": [ + "September (whole month) or October 1st", + "September 1st or October 1st" + ], + "intended_interpretation_idx": 0 + } + ], + "gold_intended_query_id": "GQRY-A.0-B.0", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0-B.0` ----- +/* +{ + "id": "GQRY-A.0-B.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] New York": "New York City", + "[B] September or October 1st": "September (whole month) or October 1st" + } + } +} +*/ +SELECT DISTINCT m.first_name, +m.last_name, +maj.major_name AS major, +m.phone, +e.event_name +FROM member m +JOIN zip_code z ON m.zip = z.zip_code +JOIN attendance a ON m.member_id = a.link_to_member +JOIN event e ON a.link_to_event = e.event_id +LEFT JOIN major maj ON m.link_to_major = maj.major_id +WHERE z.city = 'New York' +AND e.event_date >= '2019-09-01' +AND e.event_date < '2019-10-02'; +/* EXEC RESULT +first_name last_name major phone event_name + Luisa Guidi Civil Engineering 442-555-5882 Football game + Luisa Guidi Civil Engineering 442-555-5882 September Speaker + Luisa Guidi Civil Engineering 442-555-5882 Registration + Luisa Guidi Civil Engineering 442-555-5882 Yearly Kickoff + Luisa Guidi Civil Engineering 442-555-5882 September Meeting +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.1` ----- +/* +{ + "id": "GQRY-A.0-B.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] New York": "New York City", + "[B] September or October 1st": "September 1st or October 1st" + } + } +} +*/ +SELECT DISTINCT m.first_name, +m.last_name, +maj.major_name AS major, +m.phone, +e.event_name +FROM member m +JOIN zip_code z ON m.zip = z.zip_code +JOIN attendance a ON m.member_id = a.link_to_member +JOIN event e ON a.link_to_event = e.event_id +LEFT JOIN major maj ON m.link_to_major = maj.major_id +WHERE z.city = 'New York' +AND (DATE(e.event_date) = '2019-09-01' OR DATE(e.event_date) = '2019-10-01'); +/* EXEC RESULT +first_name last_name major phone event_name + Luisa Guidi Civil Engineering 442-555-5882 Registration +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.0` ----- +/* +{ + "id": "GQRY-A.1-B.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] New York": "New York County", + "[B] September or October 1st": "September (whole month) or October 1st" + } + } +} +*/ +SELECT DISTINCT m.first_name, +m.last_name, +maj.major_name AS major, +m.phone, +e.event_name +FROM member m +JOIN zip_code z ON m.zip = z.zip_code +JOIN attendance a ON m.member_id = a.link_to_member +JOIN event e ON a.link_to_event = e.event_id +LEFT JOIN major maj ON m.link_to_major = maj.major_id +WHERE z.county = 'New York County' +AND e.event_date >= '2019-09-01' +AND e.event_date < '2019-10-02'; +/* EXEC RESULT +first_name last_name major phone event_name + Luisa Guidi Civil Engineering 442-555-5882 Football game + Luisa Guidi Civil Engineering 442-555-5882 September Speaker + Luisa Guidi Civil Engineering 442-555-5882 Registration + Luisa Guidi Civil Engineering 442-555-5882 Yearly Kickoff + Luisa Guidi Civil Engineering 442-555-5882 September Meeting +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.1` ----- +/* +{ + "id": "GQRY-A.1-B.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] New York": "New York County", + "[B] September or October 1st": "September 1st or October 1st" + } + } +} +*/ +SELECT DISTINCT m.first_name, +m.last_name, +maj.major_name AS major, +m.phone, +e.event_name +FROM member m +JOIN zip_code z ON m.zip = z.zip_code +JOIN attendance a ON m.member_id = a.link_to_member +JOIN event e ON a.link_to_event = e.event_id +LEFT JOIN major maj ON m.link_to_major = maj.major_id +WHERE z.county = 'New York County' +AND (DATE(e.event_date) = '2019-09-01' OR DATE(e.event_date) = '2019-10-01'); +/* EXEC RESULT +first_name last_name major phone event_name + Luisa Guidi Civil Engineering 442-555-5882 Registration +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.2-B.0` ----- +/* +{ + "id": "GQRY-A.2-B.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] New York": "New York State", + "[B] September or October 1st": "September (whole month) or October 1st" + } + } +} +*/ +SELECT DISTINCT m.first_name, +m.last_name, +maj.major_name AS major, +m.phone, +e.event_name +FROM member m +JOIN zip_code z ON m.zip = z.zip_code +JOIN attendance a ON m.member_id = a.link_to_member +JOIN event e ON a.link_to_event = e.event_id +LEFT JOIN major maj ON m.link_to_major = maj.major_id +WHERE z.state = 'New York' +AND e.event_date >= '2019-09-01' +AND e.event_date < '2019-10-02'; +/* EXEC RESULT +first_name last_name major phone event_name + Katy Balentine Forest Ecology and Management 716-555-3845 Football game + Luisa Guidi Civil Engineering 442-555-5882 Football game + Maya Mclean Environmental Engineering 435-555-8128 Football game + Carlo Jacobs International Business 928-555-2577 Football game + Casey Mason Conservation and Restoration Ecology 676-555-7843 Football game +... TRUNCATED ... + Katy Balentine Forest Ecology and Management 716-555-3845 September Meeting + Casey Mason Conservation and Restoration Ecology 676-555-7843 September Meeting + Maya Mclean Environmental Engineering 435-555-8128 September Meeting + Carlo Jacobs International Business 928-555-2577 September Meeting + Luisa Guidi Civil Engineering 442-555-5882 September Meeting +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.2-B.1` ----- +/* +{ + "id": "GQRY-A.2-B.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] New York": "New York State", + "[B] September or October 1st": "September 1st or October 1st" + } + } +} +*/ +SELECT DISTINCT m.first_name, +m.last_name, +maj.major_name AS major, +m.phone, +e.event_name +FROM member m +JOIN zip_code z ON m.zip = z.zip_code +JOIN attendance a ON m.member_id = a.link_to_member +JOIN event e ON a.link_to_event = e.event_id +LEFT JOIN major maj ON m.link_to_major = maj.major_id +WHERE z.state = 'New York' +AND (DATE(e.event_date) = '2019-09-01' OR DATE(e.event_date) = '2019-10-01'); +/* EXEC RESULT +first_name last_name major phone event_name + Katy Balentine Forest Ecology and Management 716-555-3845 Registration + Luisa Guidi Civil Engineering 442-555-5882 Registration + Maya Mclean Environmental Engineering 435-555-8128 Registration + Casey Mason Conservation and Restoration Ecology 676-555-7843 Registration + Carlo Jacobs International Business 928-555-2577 Registration +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/097/gold_csv/GQRY-A.0-B.0.csv b/tasks/readable/097/gold_csv/GQRY-A.0-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..51386c8a073d4bae9e1afddb3b36f9a5583ce69d --- /dev/null +++ b/tasks/readable/097/gold_csv/GQRY-A.0-B.0.csv @@ -0,0 +1,2 @@ +total_funds +1795 diff --git a/tasks/readable/097/gold_csv/GQRY-A.0-B.1.csv b/tasks/readable/097/gold_csv/GQRY-A.0-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..51386c8a073d4bae9e1afddb3b36f9a5583ce69d --- /dev/null +++ b/tasks/readable/097/gold_csv/GQRY-A.0-B.1.csv @@ -0,0 +1,2 @@ +total_funds +1795 diff --git a/tasks/readable/097/gold_csv/GQRY-A.0-B.2.csv b/tasks/readable/097/gold_csv/GQRY-A.0-B.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..51386c8a073d4bae9e1afddb3b36f9a5583ce69d --- /dev/null +++ b/tasks/readable/097/gold_csv/GQRY-A.0-B.2.csv @@ -0,0 +1,2 @@ +total_funds +1795 diff --git a/tasks/readable/097/gold_csv/GQRY-A.1-B.0.csv b/tasks/readable/097/gold_csv/GQRY-A.1-B.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..05f2b5ca5393f2df13268009a7c56a48e3c2a199 --- /dev/null +++ b/tasks/readable/097/gold_csv/GQRY-A.1-B.0.csv @@ -0,0 +1,2 @@ +total_food_funds,total_advertisement_funds +1255,540 diff --git a/tasks/readable/097/gold_csv/GQRY-A.1-B.1.csv b/tasks/readable/097/gold_csv/GQRY-A.1-B.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..05f2b5ca5393f2df13268009a7c56a48e3c2a199 --- /dev/null +++ b/tasks/readable/097/gold_csv/GQRY-A.1-B.1.csv @@ -0,0 +1,2 @@ +total_food_funds,total_advertisement_funds +1255,540 diff --git a/tasks/readable/097/gold_csv/GQRY-A.1-B.2.csv b/tasks/readable/097/gold_csv/GQRY-A.1-B.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..05f2b5ca5393f2df13268009a7c56a48e3c2a199 --- /dev/null +++ b/tasks/readable/097/gold_csv/GQRY-A.1-B.2.csv @@ -0,0 +1,2 @@ +total_food_funds,total_advertisement_funds +1255,540 diff --git a/tasks/readable/097/task_readable.sql b/tasks/readable/097/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..9bd2aa533b4d602823ea294302aba0e0937daf1c --- /dev/null +++ b/tasks/readable/097/task_readable.sql @@ -0,0 +1,263 @@ +/* +{ + "qid": "097", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "student_club", + "question": "Find the total funds allocated for food and advertisement for all events attended by members in New York.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "total funds allocated for food and advertisement", + "type": "finite", + "ambiguity_type": "syntactic_computation", + "interpretations": [ + "total funds for food and advertisement (single number)", + "total funds for food and total funds for advertisement (two separate numbers)" + ], + "intended_interpretation_idx": 0 + }, + { + "id": "B", + "phrase": "New York", + "type": "finite", + "ambiguity_type": "semantic_column", + "interpretations": [ + "New York City", + "New York County", + "New York State" + ], + "intended_interpretation_idx": 0 + } + ], + "gold_intended_query_id": "GQRY-A.0-B.0", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0-B.0` ----- +/* +{ + "id": "GQRY-A.0-B.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] total funds allocated for food and advertisement": "total funds for food and advertisement (single number)", + "[B] New York": "New York City" + } + } +} +*/ +SELECT SUM(b.amount) AS total_funds +FROM budget b +JOIN event e ON e.event_id = b.link_to_event +WHERE b.category IN ('Food', 'Advertisement') +AND EXISTS ( +SELECT 1 +FROM attendance a +JOIN member m ON m.member_id = a.link_to_member +JOIN zip_code z ON z.zip_code = m.zip +WHERE a.link_to_event = e.event_id +AND z.city = 'New York' +AND z.state = 'New York' +); +/* EXEC RESULT + total_funds + 1795 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.1` ----- +/* +{ + "id": "GQRY-A.0-B.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] total funds allocated for food and advertisement": "total funds for food and advertisement (single number)", + "[B] New York": "New York County" + } + } +} +*/ +SELECT SUM(b.amount) AS total_funds +FROM budget b +JOIN event e ON e.event_id = b.link_to_event +WHERE b.category IN ('Food', 'Advertisement') +AND EXISTS ( +SELECT 1 +FROM attendance a +JOIN member m ON m.member_id = a.link_to_member +JOIN zip_code z ON z.zip_code = m.zip +WHERE a.link_to_event = e.event_id +AND z.county = 'New York County' +AND z.state = 'New York' +); +/* EXEC RESULT + total_funds + 1795 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.2` ----- +/* +{ + "id": "GQRY-A.0-B.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] total funds allocated for food and advertisement": "total funds for food and advertisement (single number)", + "[B] New York": "New York State" + } + } +} +*/ +SELECT SUM(b.amount) AS total_funds +FROM budget b +JOIN event e ON e.event_id = b.link_to_event +WHERE b.category IN ('Food', 'Advertisement') +AND EXISTS ( +SELECT 1 +FROM attendance a +JOIN member m ON m.member_id = a.link_to_member +JOIN zip_code z ON z.zip_code = m.zip +WHERE a.link_to_event = e.event_id +AND z.state = 'New York' +); +/* EXEC RESULT + total_funds + 1795 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.0` ----- +/* +{ + "id": "GQRY-A.1-B.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] total funds allocated for food and advertisement": "total funds for food and total funds for advertisement (two separate numbers)", + "[B] New York": "New York City" + } + } +} +*/ +SELECT +SUM(CASE WHEN b.category = 'Food' THEN b.amount ELSE 0 END) AS total_food_funds, +SUM(CASE WHEN b.category = 'Advertisement' THEN b.amount ELSE 0 END) AS total_advertisement_funds +FROM budget b +JOIN event e ON e.event_id = b.link_to_event +WHERE b.category IN ('Food', 'Advertisement') +AND EXISTS ( +SELECT 1 +FROM attendance a +JOIN member m ON m.member_id = a.link_to_member +JOIN zip_code z ON z.zip_code = m.zip +WHERE a.link_to_event = e.event_id +AND z.city = 'New York' +AND z.state = 'New York' +); +/* EXEC RESULT + total_food_funds total_advertisement_funds + 1255 540 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.1` ----- +/* +{ + "id": "GQRY-A.1-B.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] total funds allocated for food and advertisement": "total funds for food and total funds for advertisement (two separate numbers)", + "[B] New York": "New York County" + } + } +} +*/ +SELECT +SUM(CASE WHEN b.category = 'Food' THEN b.amount ELSE 0 END) AS total_food_funds, +SUM(CASE WHEN b.category = 'Advertisement' THEN b.amount ELSE 0 END) AS total_advertisement_funds +FROM budget b +JOIN event e ON e.event_id = b.link_to_event +WHERE b.category IN ('Food', 'Advertisement') +AND EXISTS ( +SELECT 1 +FROM attendance a +JOIN member m ON m.member_id = a.link_to_member +JOIN zip_code z ON z.zip_code = m.zip +WHERE a.link_to_event = e.event_id +AND z.county = 'New York County' +AND z.state = 'New York' +); +/* EXEC RESULT + total_food_funds total_advertisement_funds + 1255 540 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.2` ----- +/* +{ + "id": "GQRY-A.1-B.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] total funds allocated for food and advertisement": "total funds for food and total funds for advertisement (two separate numbers)", + "[B] New York": "New York State" + } + } +} +*/ +SELECT +SUM(CASE WHEN b.category = 'Food' THEN b.amount ELSE 0 END) AS total_food_funds, +SUM(CASE WHEN b.category = 'Advertisement' THEN b.amount ELSE 0 END) AS total_advertisement_funds +FROM budget b +JOIN event e ON e.event_id = b.link_to_event +WHERE b.category IN ('Food', 'Advertisement') +AND EXISTS ( +SELECT 1 +FROM attendance a +JOIN member m ON m.member_id = a.link_to_member +JOIN zip_code z ON z.zip_code = m.zip +WHERE a.link_to_event = e.event_id +AND z.state = 'New York' +); +/* EXEC RESULT + total_food_funds total_advertisement_funds + 1255 540 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/098/gold_csv/GQRY-A.0.csv b/tasks/readable/098/gold_csv/GQRY-A.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..d6280ff29a76351921f5a122f991b09b46fa172e --- /dev/null +++ b/tasks/readable/098/gold_csv/GQRY-A.0.csv @@ -0,0 +1 @@ +event_id,event_name,event_date,major_name,member_count diff --git a/tasks/readable/098/gold_csv/GQRY-A.1.csv b/tasks/readable/098/gold_csv/GQRY-A.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..dafd5da04e8e1edc3a2b11cc5f4e33884bb7152c --- /dev/null +++ b/tasks/readable/098/gold_csv/GQRY-A.1.csv @@ -0,0 +1,11 @@ +event_id,event_name,event_date,major_name,member_count +reckYL4xtQWpkTJ8k,Fall Budget Review,2019-09-07T03:00:00,Communication Studies,1 +reckYL4xtQWpkTJ8k,Fall Budget Review,2019-09-07T03:00:00,Liberal Arts,1 +reckYL4xtQWpkTJ8k,Fall Budget Review,2019-09-07T03:00:00,Interior Design,1 +reckYL4xtQWpkTJ8k,Fall Budget Review,2019-09-07T03:00:00,Human Development and Family Studies,1 +reckYL4xtQWpkTJ8k,Fall Budget Review,2019-09-07T03:00:00,Elementary Education,1 +rec2N69DMcrqN9PJC,Women's Soccer,2019-10-05T12:00:00,Human Development and Family Studies,2 +rec2N69DMcrqN9PJC,Women's Soccer,2019-10-05T12:00:00,Elementary Education,2 +rec2N69DMcrqN9PJC,Women's Soccer,2019-10-05T12:00:00,Law and Constitutional Studies,2 +recvCUOytx5jPw7kh,Community Theater,2019-10-12T06:00:00,Human Development and Family Studies,2 +recvCUOytx5jPw7kh,Community Theater,2019-10-12T06:00:00,Law and Constitutional Studies,2 diff --git a/tasks/readable/098/gold_csv/GQRY-A.2.csv b/tasks/readable/098/gold_csv/GQRY-A.2.csv new file mode 100644 index 0000000000000000000000000000000000000000..0b4c59c2c0823aed75db10507beabf8162997dfb --- /dev/null +++ b/tasks/readable/098/gold_csv/GQRY-A.2.csv @@ -0,0 +1,2 @@ +event_id,event_name,event_date,major_name,member_count +recLKj8BbTNqxFbTb,Registration,2019-09-01T07:00:00,Human Development and Family Studies,3 diff --git a/tasks/readable/098/task_readable.sql b/tasks/readable/098/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..e25497415b60445964f8d3545e711de61b7a832f --- /dev/null +++ b/tasks/readable/098/task_readable.sql @@ -0,0 +1,210 @@ +/* +{ + "qid": "098", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "student_club", + "question": "For each event held at the end of the week that has attendance, find the major with the most members attending.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "at the end of the week", + "type": "finite", + "ambiguity_type": "semantic_value", + "interpretations": [ + "Friday (end of the work week)", + "Saturday (end of the calendar week)", + "Sunday (end of the calendar week)" + ], + "intended_interpretation_idx": 1 + } + ], + "gold_intended_query_id": "GQRY-A.1", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0` ----- +/* +{ + "id": "GQRY-A.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 3 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] at the end of the week": "Friday (end of the work week)" + } + } +} +*/ +WITH qualified_events AS ( +SELECT e.event_id, e.event_name, e.event_date +FROM event e +WHERE CASE CAST(strftime('%w', e.event_date) AS INTEGER) +WHEN 0 THEN 'Sunday' +WHEN 1 THEN 'Monday' +WHEN 2 THEN 'Tuesday' +WHEN 3 THEN 'Wednesday' +WHEN 4 THEN 'Thursday' +WHEN 5 THEN 'Friday' +WHEN 6 THEN 'Saturday' +END = 'Friday' +), +meeting_attendance AS ( +SELECT efm.event_id, efm.event_name, efm.event_date, +m.major_id, m.major_name, +COUNT(DISTINCT a.link_to_member) as member_count +FROM qualified_events efm +JOIN attendance a ON efm.event_id = a.link_to_event +JOIN member mem ON a.link_to_member = mem.member_id +JOIN major m ON mem.link_to_major = m.major_id +GROUP BY efm.event_id, efm.event_name, efm.event_date, m.major_id, m.major_name +), +ranked_majors AS ( +SELECT event_id, event_name, event_date, major_id, major_name, member_count, +RANK() OVER (PARTITION BY event_id ORDER BY member_count DESC) as rn +FROM meeting_attendance +) +SELECT event_id, event_name, event_date, major_name, member_count +FROM ranked_majors +WHERE rn = 1 +ORDER BY event_date; +/* EXEC RESULT +Empty DataFrame +Columns: [event_id, event_name, event_date, major_name, member_count] +Index: [] +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1` ----- +/* +{ + "id": "GQRY-A.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 3 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] at the end of the week": "Saturday (end of the calendar week)" + } + } +} +*/ +WITH qualified_events AS ( +SELECT e.event_id, e.event_name, e.event_date +FROM event e +WHERE CASE CAST(strftime('%w', e.event_date) AS INTEGER) +WHEN 0 THEN 'Sunday' +WHEN 1 THEN 'Monday' +WHEN 2 THEN 'Tuesday' +WHEN 3 THEN 'Wednesday' +WHEN 4 THEN 'Thursday' +WHEN 5 THEN 'Friday' +WHEN 6 THEN 'Saturday' +END = 'Saturday' +), +meeting_attendance AS ( +SELECT efm.event_id, efm.event_name, efm.event_date, +m.major_id, m.major_name, +COUNT(DISTINCT a.link_to_member) as member_count +FROM qualified_events efm +JOIN attendance a ON efm.event_id = a.link_to_event +JOIN member mem ON a.link_to_member = mem.member_id +JOIN major m ON mem.link_to_major = m.major_id +GROUP BY efm.event_id, efm.event_name, efm.event_date, m.major_id, m.major_name +), +ranked_majors AS ( +SELECT event_id, event_name, event_date, major_id, major_name, member_count, +RANK() OVER (PARTITION BY event_id ORDER BY member_count DESC) as rn +FROM meeting_attendance +) +SELECT event_id, event_name, event_date, major_name, member_count +FROM ranked_majors +WHERE rn = 1 +ORDER BY event_date; +/* EXEC RESULT + event_id event_name event_date major_name member_count +reckYL4xtQWpkTJ8k Fall Budget Review 2019-09-07T03:00:00 Communication Studies 1 +reckYL4xtQWpkTJ8k Fall Budget Review 2019-09-07T03:00:00 Liberal Arts 1 +reckYL4xtQWpkTJ8k Fall Budget Review 2019-09-07T03:00:00 Interior Design 1 +reckYL4xtQWpkTJ8k Fall Budget Review 2019-09-07T03:00:00 Human Development and Family Studies 1 +reckYL4xtQWpkTJ8k Fall Budget Review 2019-09-07T03:00:00 Elementary Education 1 +rec2N69DMcrqN9PJC Women's Soccer 2019-10-05T12:00:00 Human Development and Family Studies 2 +rec2N69DMcrqN9PJC Women's Soccer 2019-10-05T12:00:00 Elementary Education 2 +rec2N69DMcrqN9PJC Women's Soccer 2019-10-05T12:00:00 Law and Constitutional Studies 2 +recvCUOytx5jPw7kh Community Theater 2019-10-12T06:00:00 Human Development and Family Studies 2 +recvCUOytx5jPw7kh Community Theater 2019-10-12T06:00:00 Law and Constitutional Studies 2 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.2` ----- +/* +{ + "id": "GQRY-A.2", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 3 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] at the end of the week": "Sunday (end of the calendar week)" + } + } +} +*/ +WITH qualified_events AS ( +SELECT e.event_id, e.event_name, e.event_date +FROM event e +WHERE CASE CAST(strftime('%w', e.event_date) AS INTEGER) +WHEN 0 THEN 'Sunday' +WHEN 1 THEN 'Monday' +WHEN 2 THEN 'Tuesday' +WHEN 3 THEN 'Wednesday' +WHEN 4 THEN 'Thursday' +WHEN 5 THEN 'Friday' +WHEN 6 THEN 'Saturday' +END = 'Sunday' +), +meeting_attendance AS ( +SELECT efm.event_id, efm.event_name, efm.event_date, +m.major_id, m.major_name, +COUNT(DISTINCT a.link_to_member) as member_count +FROM qualified_events efm +JOIN attendance a ON efm.event_id = a.link_to_event +JOIN member mem ON a.link_to_member = mem.member_id +JOIN major m ON mem.link_to_major = m.major_id +GROUP BY efm.event_id, efm.event_name, efm.event_date, m.major_id, m.major_name +), +ranked_majors AS ( +SELECT event_id, event_name, event_date, major_id, major_name, member_count, +RANK() OVER (PARTITION BY event_id ORDER BY member_count DESC) as rn +FROM meeting_attendance +) +SELECT event_id, event_name, event_date, major_name, member_count +FROM ranked_majors +WHERE rn = 1 +ORDER BY event_date; +/* EXEC RESULT + event_id event_name event_date major_name member_count +recLKj8BbTNqxFbTb Registration 2019-09-01T07:00:00 Human Development and Family Studies 3 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/099/gold_csv/GQRY-A.0-B.0-C.0.csv b/tasks/readable/099/gold_csv/GQRY-A.0-B.0-C.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..2c60dcef466c29fce641159a493eaf860e15d201 --- /dev/null +++ b/tasks/readable/099/gold_csv/GQRY-A.0-B.0-C.0.csv @@ -0,0 +1,4 @@ +event_status,total_spent +Closed,1562.43 +Open,228.5 +Planning,0.0 diff --git a/tasks/readable/099/gold_csv/GQRY-A.0-B.0-C.1.csv b/tasks/readable/099/gold_csv/GQRY-A.0-B.0-C.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..8bc55122e1c94602005d3c428600db8c5eb30088 --- /dev/null +++ b/tasks/readable/099/gold_csv/GQRY-A.0-B.0-C.1.csv @@ -0,0 +1,4 @@ +event_status,total_spent +Closed,721.1200000000001 +Open,0.0 +Planning,0.0 diff --git a/tasks/readable/099/gold_csv/GQRY-A.0-B.1-C.0.csv b/tasks/readable/099/gold_csv/GQRY-A.0-B.1-C.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..2c60dcef466c29fce641159a493eaf860e15d201 --- /dev/null +++ b/tasks/readable/099/gold_csv/GQRY-A.0-B.1-C.0.csv @@ -0,0 +1,4 @@ +event_status,total_spent +Closed,1562.43 +Open,228.5 +Planning,0.0 diff --git a/tasks/readable/099/gold_csv/GQRY-A.0-B.1-C.1.csv b/tasks/readable/099/gold_csv/GQRY-A.0-B.1-C.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..76ebabdec1d8ddb8911fa7449b85d51a4260c246 --- /dev/null +++ b/tasks/readable/099/gold_csv/GQRY-A.0-B.1-C.1.csv @@ -0,0 +1,4 @@ +event_status,total_spent +Closed,721.12 +Open,0.0 +Planning,0.0 diff --git a/tasks/readable/099/gold_csv/GQRY-A.1-B.0-C.0.csv b/tasks/readable/099/gold_csv/GQRY-A.1-B.0-C.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..61138dcaa1007682483e4f1b479d98db9493f895 --- /dev/null +++ b/tasks/readable/099/gold_csv/GQRY-A.1-B.0-C.0.csv @@ -0,0 +1,9 @@ +event_type,total_spent +Budget,0.0 +Community Service,0.0 +Election,0.0 +Game,0.0 +Guest Speaker,721.1200000000001 +Meeting,1069.81 +Registration,0.0 +Social,0.0 diff --git a/tasks/readable/099/gold_csv/GQRY-A.1-B.0-C.1.csv b/tasks/readable/099/gold_csv/GQRY-A.1-B.0-C.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..edea8fc2f4c2a8a0ed4753368ae4d0203358afea --- /dev/null +++ b/tasks/readable/099/gold_csv/GQRY-A.1-B.0-C.1.csv @@ -0,0 +1,9 @@ +event_type,total_spent +Budget,0.0 +Community Service,0.0 +Election,0.0 +Game,0.0 +Guest Speaker,721.1200000000001 +Meeting,0.0 +Registration,0.0 +Social,0.0 diff --git a/tasks/readable/099/gold_csv/GQRY-A.1-B.1-C.0.csv b/tasks/readable/099/gold_csv/GQRY-A.1-B.1-C.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..a645e6c05dfb5d3a5025d3fa83ce646cf46dccee --- /dev/null +++ b/tasks/readable/099/gold_csv/GQRY-A.1-B.1-C.0.csv @@ -0,0 +1,9 @@ +event_type,total_spent +Budget,0.0 +Community Service,0.0 +Election,0.0 +Game,0.0 +Guest Speaker,721.12 +Meeting,1069.81 +Registration,0.0 +Social,0.0 diff --git a/tasks/readable/099/gold_csv/GQRY-A.1-B.1-C.1.csv b/tasks/readable/099/gold_csv/GQRY-A.1-B.1-C.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..8d5ca7bc8cc945764c3e629399c95eb7f718340e --- /dev/null +++ b/tasks/readable/099/gold_csv/GQRY-A.1-B.1-C.1.csv @@ -0,0 +1,9 @@ +event_type,total_spent +Budget,0.0 +Community Service,0.0 +Election,0.0 +Game,0.0 +Guest Speaker,721.12 +Meeting,0.0 +Registration,0.0 +Social,0.0 diff --git a/tasks/readable/099/task_readable.sql b/tasks/readable/099/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..ed7032d4af0e80b07af69d236187ae947cdb615d --- /dev/null +++ b/tasks/readable/099/task_readable.sql @@ -0,0 +1,379 @@ +/* +{ + "qid": "099", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "student_club", + "question": "For each event label, show the total amount spent by events with food and gifts. Return the result in (label, total_amount) format.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "event label", + "type": "finite", + "ambiguity_type": "semantic_column", + "interpretations": [ + "event type (event.type)", + "event status (event.status)" + ], + "intended_interpretation_idx": 0 + }, + { + "id": "B", + "phrase": "total amount spent", + "type": "finite", + "ambiguity_type": "semantic_computation", + "interpretations": [ + "sum of spent in budget table.", + "sum of cost in expense table." + ], + "intended_interpretation_idx": 0 + }, + { + "id": "C", + "phrase": "events with food and gifts", + "type": "finite", + "ambiguity_type": "semantic_computation", + "interpretations": [ + "events with either food or gifts ('and' means UNION)", + "events with both food and gifts ('and' means logical AND)" + ], + "intended_interpretation_idx": 1 + } + ], + "gold_intended_query_id": "GQRY-A.0-B.0-C.1", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0-B.0-C.0` ----- +/* +{ + "id": "GQRY-A.0-B.0-C.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] event label": "event type (event.type)", + "[B] events with food and gifts": "events with either food or gifts ('and' means UNION)", + "[C] total amount spent": "sum of spent in budget table." + } + } +} +*/ +WITH qualified_events AS ( +SELECT link_to_event +FROM budget +WHERE category IN ('Food', 'Speaker Gifts') +GROUP BY link_to_event +) +SELECT e.status AS event_status, +COALESCE(SUM(b.spent), 0) AS total_spent +FROM event e +LEFT JOIN budget b ON b.link_to_event = e.event_id AND e.event_id IN (SELECT link_to_event FROM qualified_events) +GROUP BY e.status; +/* EXEC RESULT +event_status total_spent + Closed 1562.43 + Open 228.50 + Planning 0.00 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.0-C.1` ----- +/* +{ + "id": "GQRY-A.0-B.0-C.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] event label": "event type (event.type)", + "[B] events with food and gifts": "events with both food and gifts ('and' means logical AND)", + "[C] total amount spent": "sum of spent in budget table." + } + } +} +*/ +WITH qualified_events AS ( +SELECT link_to_event +FROM budget +WHERE category IN ('Food', 'Speaker Gifts') +GROUP BY link_to_event +HAVING COUNT(DISTINCT category) = 2 +) +SELECT e.status AS event_status, +COALESCE(SUM(b.spent), 0) AS total_spent +FROM event e +LEFT JOIN budget b ON b.link_to_event = e.event_id AND e.event_id IN (SELECT link_to_event FROM qualified_events) +GROUP BY e.status; +/* EXEC RESULT +event_status total_spent + Closed 721.12 + Open 0.00 + Planning 0.00 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.1-C.0` ----- +/* +{ + "id": "GQRY-A.0-B.1-C.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] event label": "event type (event.type)", + "[B] events with food and gifts": "events with either food or gifts ('and' means UNION)", + "[C] total amount spent": "sum of cost in expense table." + } + } +} +*/ +WITH qualified_events AS ( +SELECT link_to_event +FROM budget +WHERE category IN ('Food', 'Speaker Gifts') +GROUP BY link_to_event +) +SELECT e.status AS event_status, +COALESCE(SUM(ex.cost), 0) AS total_spent +FROM event e +LEFT JOIN budget b ON b.link_to_event = e.event_id AND e.event_id IN (SELECT link_to_event FROM qualified_events) +LEFT JOIN expense ex ON ex.link_to_budget = b.budget_id +GROUP BY e.status; +/* EXEC RESULT +event_status total_spent + Closed 1562.43 + Open 228.50 + Planning 0.00 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.0-B.1-C.1` ----- +/* +{ + "id": "GQRY-A.0-B.1-C.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] event label": "event type (event.type)", + "[B] events with food and gifts": "events with both food and gifts ('and' means logical AND)", + "[C] total amount spent": "sum of cost in expense table." + } + } +} +*/ +WITH qualified_events AS ( +SELECT link_to_event +FROM budget +WHERE category IN ('Food', 'Speaker Gifts') +GROUP BY link_to_event +HAVING COUNT(DISTINCT category) = 2 +) +SELECT e.status AS event_status, +COALESCE(SUM(ex.cost), 0) AS total_spent +FROM event e +LEFT JOIN budget b ON b.link_to_event = e.event_id AND e.event_id IN (SELECT link_to_event FROM qualified_events) +LEFT JOIN expense ex ON ex.link_to_budget = b.budget_id +GROUP BY e.status; +/* EXEC RESULT +event_status total_spent + Closed 721.12 + Open 0.00 + Planning 0.00 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.0-C.0` ----- +/* +{ + "id": "GQRY-A.1-B.0-C.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] event label": "event status (event.status)", + "[B] events with food and gifts": "events with either food or gifts ('and' means UNION)", + "[C] total amount spent": "sum of spent in budget table." + } + } +} +*/ +WITH qualified_events AS ( +SELECT link_to_event +FROM budget +WHERE category IN ('Food', 'Speaker Gifts') +GROUP BY link_to_event +) +SELECT e.type AS event_type, +COALESCE(SUM(b.spent), 0) AS total_spent +FROM event e +LEFT JOIN budget b ON b.link_to_event = e.event_id AND e.event_id IN (SELECT link_to_event FROM qualified_events) +GROUP BY e.type; +/* EXEC RESULT + event_type total_spent + Budget 0.00 +Community Service 0.00 + Election 0.00 + Game 0.00 + Guest Speaker 721.12 + Meeting 1069.81 + Registration 0.00 + Social 0.00 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.0-C.1` ----- +/* +{ + "id": "GQRY-A.1-B.0-C.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] event label": "event status (event.status)", + "[B] events with food and gifts": "events with both food and gifts ('and' means logical AND)", + "[C] total amount spent": "sum of spent in budget table." + } + } +} +*/ +WITH qualified_events AS ( +SELECT link_to_event +FROM budget +WHERE category IN ('Food', 'Speaker Gifts') +GROUP BY link_to_event +HAVING COUNT(DISTINCT category) = 2 +) +SELECT e.type AS event_type, +COALESCE(SUM(b.spent), 0) AS total_spent +FROM event e +LEFT JOIN budget b ON b.link_to_event = e.event_id AND e.event_id IN (SELECT link_to_event FROM qualified_events) +GROUP BY e.type; +/* EXEC RESULT + event_type total_spent + Budget 0.00 +Community Service 0.00 + Election 0.00 + Game 0.00 + Guest Speaker 721.12 + Meeting 0.00 + Registration 0.00 + Social 0.00 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.1-C.0` ----- +/* +{ + "id": "GQRY-A.1-B.1-C.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] event label": "event status (event.status)", + "[B] events with food and gifts": "events with either food or gifts ('and' means UNION)", + "[C] total amount spent": "sum of cost in expense table." + } + } +} +*/ +WITH qualified_events AS ( +SELECT link_to_event +FROM budget +WHERE category IN ('Food', 'Speaker Gifts') +GROUP BY link_to_event +) +SELECT e.type AS event_type, +COALESCE(SUM(ex.cost), 0) AS total_spent +FROM event e +LEFT JOIN budget b ON b.link_to_event = e.event_id AND e.event_id IN (SELECT link_to_event FROM qualified_events) +LEFT JOIN expense ex ON ex.link_to_budget = b.budget_id +GROUP BY e.type; +/* EXEC RESULT + event_type total_spent + Budget 0.00 +Community Service 0.00 + Election 0.00 + Game 0.00 + Guest Speaker 721.12 + Meeting 1069.81 + Registration 0.00 + Social 0.00 +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1-B.1-C.1` ----- +/* +{ + "id": "GQRY-A.1-B.1-C.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": null, + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] event label": "event status (event.status)", + "[B] events with food and gifts": "events with both food and gifts ('and' means logical AND)", + "[C] total amount spent": "sum of cost in expense table." + } + } +} +*/ +WITH qualified_events AS ( +SELECT link_to_event +FROM budget +WHERE category IN ('Food', 'Speaker Gifts') +GROUP BY link_to_event +HAVING COUNT(DISTINCT category) = 2 +) +SELECT e.type AS event_type, +COALESCE(SUM(ex.cost), 0) AS total_spent +FROM event e +LEFT JOIN budget b ON b.link_to_event = e.event_id AND e.event_id IN (SELECT link_to_event FROM qualified_events) +LEFT JOIN expense ex ON ex.link_to_budget = b.budget_id +GROUP BY e.type; +/* EXEC RESULT + event_type total_spent + Budget 0.00 +Community Service 0.00 + Election 0.00 + Game 0.00 + Guest Speaker 721.12 + Meeting 0.00 + Registration 0.00 + Social 0.00 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/100/gold_csv/GQRY-A.0.csv b/tasks/readable/100/gold_csv/GQRY-A.0.csv new file mode 100644 index 0000000000000000000000000000000000000000..c31d67e87a7a9923a99898683ca880784c311156 --- /dev/null +++ b/tasks/readable/100/gold_csv/GQRY-A.0.csv @@ -0,0 +1,30 @@ +member_id,first_name,last_name +rec1x5zBFIqoOuPW8,Angela,Sanders +rec280Sk7o31iG0Tx,Grant,Gilmour +rec28ORZgcm1dtqBZ,Luisa,Guidi +rec3pH4DxMcWHMRB7,Connor,Hilton +rec4BLdZHS2Blfp4v,Sacha,Harrison +rec4O9rmGnLx3j8vt,Christof,Nielson +rec75vvFxgYtHmqxY,Carlo,Jacobs +recD078PnS3x2doBe,Phillip,Cullen +recEFd8s6pkrTt4Pz,Matthew,Snay +recEymrwCUKxiiosI,Adele,Deleon +recJMazpPVexyFYTc,Casey,Mason +recL4aEZBZoPk9NYx,Trent,Smith +recL94zpn6Xh6kQii,Rafi,Mckee +recP6DJPyi5donvXL,Katy,Balentine +recQaxyXBQG5BBtD0,Dean,O'Reilly +recT92PyyZCGq1R68,Emily,Jaquith +recTjHY5xXhvkCdVT,Edwardo,Ing +recUdRhbhcEO1Hk5r,Amy,Firth +recVsoJJHFI8bgtfw,Mccauley,Nash +recWh2lJVOT6HjChK,Tyler,Hewitt +recZ4PkGERzl9ziHO,Maya,Mclean +recZN8afUWlE5fZHG,Brent,Thomason +reccW7q1KkhSKZsea,Adela,O'Gallagher +recf4UKTfipCzgcSA,Garrett,Gerke +recro8T1MPMwRadVH,Elijah,Allen +recsTO4OZIF9rbubk,Madelyn,Nicholson +recttfySfQnYb68u3,Annabella,Warren +recuSfhAZIlKba4s2,Kevin,Pierce +recxBj3tjKTGHqucS,Sherri,Ramsey diff --git a/tasks/readable/100/gold_csv/GQRY-A.1.csv b/tasks/readable/100/gold_csv/GQRY-A.1.csv new file mode 100644 index 0000000000000000000000000000000000000000..d88d760a1a3d67f35de253b7e5d523ac425228e3 --- /dev/null +++ b/tasks/readable/100/gold_csv/GQRY-A.1.csv @@ -0,0 +1 @@ +member_id,first_name,last_name diff --git a/tasks/readable/100/task_readable.sql b/tasks/readable/100/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..08998aec036fb42abd7e58544bd8700e4b38caf3 --- /dev/null +++ b/tasks/readable/100/task_readable.sql @@ -0,0 +1,108 @@ +/* +{ + "qid": "100", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "student_club", + "question": "List all active members who received income from dues or fundraising and sponsorship.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "income from dues or fundraising and sponsorship", + "type": "finite", + "ambiguity_type": "syntactic_computation", + "interpretations": [ + "income from dues, or from both fundraising and sponsorship.", + "income from both (dues or fundraising) and sponsorship." + ], + "intended_interpretation_idx": 0 + } + ], + "gold_intended_query_id": "GQRY-A.0", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY-A.0` ----- +/* +{ + "id": "GQRY-A.0", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] income from dues or fundraising and sponsorship": "income from dues, or from both fundraising and sponsorship." + } + } +} +*/ +SELECT DISTINCT m.member_id, m.first_name, m.last_name +FROM member m +JOIN income i ON m.member_id = i.link_to_member +WHERE i.source = 'Dues' +AND m.position <> 'Inactive' +UNION +SELECT DISTINCT m.member_id, m.first_name, m.last_name +FROM member m +WHERE m.member_id IN ( +SELECT link_to_member FROM income WHERE source = 'Fundraising' +) AND m.member_id IN ( +SELECT link_to_member FROM income WHERE source = 'Sponsorship' +) AND m.position <> 'Inactive'; +/* EXEC RESULT + member_id first_name last_name +rec1x5zBFIqoOuPW8 Angela Sanders +rec280Sk7o31iG0Tx Grant Gilmour +rec28ORZgcm1dtqBZ Luisa Guidi +rec3pH4DxMcWHMRB7 Connor Hilton +rec4BLdZHS2Blfp4v Sacha Harrison +... TRUNCATED ... +recro8T1MPMwRadVH Elijah Allen +recsTO4OZIF9rbubk Madelyn Nicholson +recttfySfQnYb68u3 Annabella Warren +recuSfhAZIlKba4s2 Kevin Pierce +recxBj3tjKTGHqucS Sherri Ramsey +*/ +----- END OF GOLD QUERY ----- + + +----- START OF GOLD QUERY `GQRY-A.1` ----- +/* +{ + "id": "GQRY-A.1", + "parameter_names": [], + "parameter_values": {}, + "other_exec_results": [], + "required_columns": [ + 1, + 2 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] income from dues or fundraising and sponsorship": "income from both (dues or fundraising) and sponsorship." + } + } +} +*/ +SELECT DISTINCT m.member_id, m.first_name, m.last_name +FROM member m +WHERE m.member_id IN ( +SELECT link_to_member FROM income WHERE source IN ('Dues', 'Fundraising') +) AND m.member_id IN ( +SELECT link_to_member FROM income WHERE source = 'Sponsorship' +) AND m.position <> 'Inactive'; +/* EXEC RESULT +Empty DataFrame +Columns: [member_id, first_name, last_name] +Index: [] +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/readable/101/gold_csv/GQRY.csv b/tasks/readable/101/gold_csv/GQRY.csv new file mode 100644 index 0000000000000000000000000000000000000000..5789abab830f4f20bb10fa91f63ccb8a3d62484d --- /dev/null +++ b/tasks/readable/101/gold_csv/GQRY.csv @@ -0,0 +1,5 @@ +event_id,event_name,highest_major_percentage +recLrY8kyOR1PcZeF,Officers meeting - April,0.25 +reckYL4xtQWpkTJ8k,Fall Budget Review,0.2 +recsgSUqFCJqekzL5,Food Bank,0.18181818181818182 +recIuIXdbLe5j5vCA,Football game,0.16666666666666666 diff --git a/tasks/readable/101/task_readable.sql b/tasks/readable/101/task_readable.sql new file mode 100644 index 0000000000000000000000000000000000000000..3f8fe5c6c7577a44c79fe1d5b56af8cf345f1f64 --- /dev/null +++ b/tasks/readable/101/task_readable.sql @@ -0,0 +1,87 @@ +/* +{ + "qid": "101", + "task_type": "ambig", + "has_intended_resolution": true, + "language": "SQLite", + "db": "student_club", + "question": "List all events where a large percentage of attendees were from the same major.", + "gold_ambiguity_points": [ + { + "id": "A", + "phrase": "large percentage of attendees", + "type": "infinite", + "ambiguity_type": "semantic_value", + "parameter_name": "percentage_threshold", + "parameter_dtype": "float", + "parameter_sample_operators": [ + ">", + ">=" + ], + "parameter_sample_values": [ + 0.15 + ], + "intended_parameter_operator": ">", + "intended_parameter_value": 0.15 + } + ], + "gold_intended_query_id": "GQRY", + "extra_info": {} +} +*/ + + +----- START OF GOLD QUERY `GQRY` ----- +/* +{ + "id": "GQRY", + "parameter_names": [ + "percentage_threshold" + ], + "parameter_values": { + "percentage_threshold": 0.15 + }, + "other_exec_results": [], + "required_columns": [ + 1 + ], + "required_sorted": false, + "extra_info": { + "ambiguity_resolution": { + "[A] large percentage of attendees": ":percentage_threshold" + } + } +} +*/ +WITH major_counts AS ( +SELECT +a.link_to_event, +m.link_to_major, +COUNT(DISTINCT a.link_to_member) AS major_attendee_count +FROM attendance AS a +JOIN member AS m ON a.link_to_member = m.member_id +WHERE m.link_to_major IS NOT NULL +GROUP BY a.link_to_event, m.link_to_major +), total_counts AS ( +SELECT +link_to_event, +COUNT(DISTINCT link_to_member) AS total_attendees +FROM attendance +GROUP BY link_to_event +) +SELECT e.event_id, e.event_name, MAX(CAST(major_counts.major_attendee_count AS REAL) / total_counts.total_attendees) AS highest_major_percentage +FROM major_counts +JOIN total_counts ON major_counts.link_to_event = total_counts.link_to_event +JOIN event e ON major_counts.link_to_event = e.event_id +WHERE +CAST(major_counts.major_attendee_count AS REAL) / total_counts.total_attendees > :percentage_threshold +GROUP BY e.event_id, e.event_name +ORDER BY highest_major_percentage DESC; +/* EXEC RESULT + event_id event_name highest_major_percentage +recLrY8kyOR1PcZeF Officers meeting - April 0.250000 +reckYL4xtQWpkTJ8k Fall Budget Review 0.200000 +recsgSUqFCJqekzL5 Food Bank 0.181818 +recIuIXdbLe5j5vCA Football game 0.166667 +*/ +----- END OF GOLD QUERY ----- \ No newline at end of file diff --git a/tasks/tasks_gold_intended_query_ids.json b/tasks/tasks_gold_intended_query_ids.json new file mode 100644 index 0000000000000000000000000000000000000000..77522110a8800a8148c4669e8a6aabf0b7ccfe25 --- /dev/null +++ b/tasks/tasks_gold_intended_query_ids.json @@ -0,0 +1,515 @@ +{ + "001": [ + "GQRY-A.0-B.0-C.1-D.3", + "GQRY-A.0-B.0-C.0-D.0", + "GQRY-A.1-B.0-C.1-D.3", + "GQRY-A.0-B.1-C.0-D.0", + "GQRY-A.1-B.1-C.1-D.3", + "GQRY-A.1-B.1-C.0-D.3", + "GQRY-A.0-B.0-C.1-D.0" + ], + "002": [ + "GQRY-A.0-B.0-C.1", + "GQRY-A.1-B.0-C.1", + "GQRY-A.1-B.1-C.0", + "GQRY-A.1-B.0-C.0", + "GQRY-A.0-B.0-C.0", + "GQRY-A.0-B.1-C.0", + "GQRY-A.1-B.1-C.1" + ], + "003": [ + "GQRY-A.0", + "GQRY-A.1" + ], + "004": [ + "GQRY-B.0", + "GQRY-B.3", + "GQRY-B.2", + "GQRY-B.1" + ], + "005": [ + "GQRY-A.1-B.1", + "GQRY-A.0-B.1", + "GQRY-A.1-B.0", + "GQRY-A.0-B.0", + "GQRY-A.1-B.2" + ], + "006": [ + "GQRY-A.1", + "GQRY-A.0" + ], + "007": [ + "GQRY-A.0-B.1-C.0", + "GQRY-A.1-B.0-C.1", + "GQRY-A.0-B.1-C.1", + "GQRY-A.1-B.1-C.1", + "GQRY-A.1-B.0-C.0", + "GQRY-A.0-B.0-C.0", + "GQRY-A.1-B.1-C.0" + ], + "008": [ + "GQRY-A.1-B.1", + "GQRY-A.0-B.0", + "GQRY-A.1-B.2", + "GQRY-A.0-B.3", + "GQRY-A.1-B.3" + ], + "009": [ + "GQRY-A.1", + "GQRY-A.2", + "GQRY-A.0" + ], + "010": [ + "GQRY-A.0", + "GQRY-A.1" + ], + "011": [ + "GQRY-A.2", + "GQRY-A.0", + "GQRY-A.1" + ], + "012": [ + "GQRY" + ], + "013": [ + "GQRY-A.1", + "GQRY-A.0" + ], + "014": [ + "GQRY-A.0", + "GQRY-A.1" + ], + "015": [ + "GQRY-A.0", + "GQRY-A.1" + ], + "016": [ + "GQRY-A.1-B.0", + "GQRY-A.0-B.0", + "GQRY-A.1-B.1", + "GQRY-A.0-B.1" + ], + "017": [ + "GQRY-A.1", + "GQRY-A.0" + ], + "018": [ + "GQRY-A.1", + "GQRY-A.0" + ], + "019": [ + "GQRY-A.0", + "GQRY-A.1" + ], + "020": [ + "GQRY-A.1-C.0", + "GQRY-A.0-C.0", + "GQRY-A.0-C.1", + "GQRY-A.1-C.1" + ], + "021": [ + "GQRY-A.0" + ], + "022": [ + "GQRY-A.2", + "GQRY-A.0", + "GQRY-A.1" + ], + "023": [ + "GQRY-A.1", + "GQRY-A.2", + "GQRY-A.0" + ], + "024": [ + "GQRY-A.0", + "GQRY-A.2" + ], + "025": [ + "GQRY-B.0-C.0-D.0", + "GQRY-B.0-C.0-D.1", + "GQRY-B.1-C.1-D.1", + "GQRY-B.0-C.1-D.0", + "GQRY-B.0-C.1-D.1", + "GQRY-B.1-C.1-D.0", + "GQRY-B.1-C.0-D.1" + ], + "026": [ + "GQRY-A.0-B.1-C.0", + "GQRY-A.1-B.1-C.0", + "GQRY-A.0-B.1-C.2", + "GQRY-A.1-B.1-C.2", + "GQRY-A.1-B.0-C.1", + "GQRY-A.1-B.0-C.2", + "GQRY-A.1-B.1-C.1" + ], + "027": [ + "GQRY-A.2-C.0", + "GQRY-A.1-C.0", + "GQRY-A.2-C.1", + "GQRY-A.0-C.1", + "GQRY-A.1-C.1" + ], + "028": [ + "GQRY-A.1", + "GQRY-A.0" + ], + "029": [ + "GQRY-A.3-B.0", + "GQRY-A.2-B.0", + "GQRY-A.1-B.2", + "GQRY-A.1-B.0", + "GQRY-A.0-B.2" + ], + "030": [ + "GQRY-A.1-B.1", + "GQRY-A.0-B.0", + "GQRY-A.1-B.0", + "GQRY-A.0-B.1" + ], + "031": [ + "GQRY-A.0", + "GQRY-A.1" + ], + "032": [ + "GQRY-B.1", + "GQRY-B.0" + ], + "033": [ + "GQRY-A.1", + "GQRY-A.0" + ], + "034": [ + "GQRY" + ], + "035": [ + 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