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[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_easy | {"datasets": {"student": [{"stuid": 1001, "lname": "Smith", "fname": "Linda", "age": 18, "sex": "F", "major": 600, "advisor": 1121, "city_code": "BAL"}, {"stuid": 1002, "lname": "Kim", "fname": "Tracy", "age": 19, "sex": "F", "major": 600, "advisor": 7712, "city_code": "HKG"}, {"stuid": 1003, "lname": "Jones", "fname": "Shiela", "age": 21, "sex": "F", "major": 600, "advisor": 7792, "city_code": "WAS"}, {"stuid": 1004, "lname": "Kumar", "fname": "Dinesh", "age": 20, "sex": "M", "major": 600, "advisor": 8423, "city_code": "CHI"}, {"stuid": 1005, "lname": "Gompers", "fname": "Paul", "age": 26, "sex": "M", "major": 600, "advisor": 1121, "city_code": "YYZ"}, {"stuid": 1006, "lname": "Schultz", "fname": "Andy", "age": 18, "sex": "M", "major": 600, "advisor": 1148, "city_code": "BAL"}, {"stuid": 1007, "lname": "Apap", "fname": "Lisa", "age": 18, "sex": "F", "major": 600, "advisor": 8918, "city_code": "PIT"}, {"stuid": 1008, "lname": "Nelson", "fname": "Jandy", "age": 20, "sex": "F", "major": 600, "advisor": 9172, "city_code": "BAL"}, {"stuid": 1009, "lname": "Tai", "fname": "Eric", "age": 19, "sex": "M", "major": 600, "advisor": 2192, "city_code": "YYZ"}, {"stuid": 1010, "lname": "Lee", "fname": "Derek", "age": 17, "sex": "M", "major": 600, "advisor": 2192, "city_code": "HOU"}, {"stuid": 1011, "lname": "Adams", "fname": "David", "age": 22, "sex": "M", "major": 600, "advisor": 1148, "city_code": "PHL"}, {"stuid": 1012, "lname": "Davis", "fname": "Steven", "age": 20, "sex": "M", "major": 600, "advisor": 7723, "city_code": "PIT"}, {"stuid": 1014, "lname": "Norris", "fname": "Charles", "age": 18, "sex": "M", "major": 600, "advisor": 8741, "city_code": "DAL"}, {"stuid": 1015, "lname": "Lee", "fname": "Susan", "age": 16, "sex": "F", "major": 600, "advisor": 8721, "city_code": "HKG"}, {"stuid": 1016, "lname": "Schwartz", "fname": "Mark", "age": 17, "sex": "M", "major": 600, "advisor": 2192, "city_code": "DET"}, {"stuid": 1017, "lname": "Wilson", "fname": "Bruce", "age": 27, "sex": "M", "major": 600, "advisor": 1148, "city_code": "LON"}, {"stuid": 1018, "lname": "Leighton", "fname": "Michael", "age": 20, "sex": "M", "major": 600, "advisor": 1121, "city_code": "PIT"}, {"stuid": 1019, "lname": "Pang", "fname": "Arthur", "age": 18, "sex": "M", "major": 600, "advisor": 2192, "city_code": "WAS"}, {"stuid": 1020, "lname": "Thornton", "fname": "Ian", "age": 22, "sex": "M", "major": 520, "advisor": 7271, "city_code": "NYC"}, {"stuid": 1021, "lname": "Andreou", "fname": "George", "age": 19, "sex": "M", "major": 520, "advisor": 8722, "city_code": "NYC"}, {"stuid": 1022, "lname": "Woods", "fname": "Michael", "age": 17, "sex": "M", "major": 540, "advisor": 8722, "city_code": "PHL"}, {"stuid": 1023, "lname": "Shieber", "fname": "David", "age": 20, "sex": "M", "major": 520, "advisor": 8722, "city_code": "NYC"}, {"stuid": 1024, "lname": "Prater", "fname": "Stacy", "age": 18, "sex": "F", "major": 540, "advisor": 7271, "city_code": "BAL"}, {"stuid": 1025, "lname": "Goldman", "fname": "Mark", "age": 18, "sex": "M", "major": 520, "advisor": 7134, "city_code": "PIT"}, {"stuid": 1026, "lname": "Pang", "fname": "Eric", "age": 19, "sex": "M", "major": 520, "advisor": 7134, "city_code": "HKG"}, {"stuid": 1027, "lname": "Brody", "fname": "Paul", "age": 18, "sex": "M", "major": 520, "advisor": 8723, "city_code": "LOS"}, {"stuid": 1028, "lname": "Rugh", "fname": "Eric", "age": 20, "sex": "M", "major": 550, "advisor": 2311, "city_code": "ROC"}, {"stuid": 1029, "lname": "Han", "fname": "Jun", "age": 17, "sex": "M", "major": 100, "advisor": 2311, "city_code": "PEK"}, {"stuid": 1030, "lname": "Cheng", "fname": "Lisa", "age": 21, "sex": "F", "major": 550, "advisor": 2311, "city_code": "SFO"}, {"stuid": 1031, "lname": "Smith", "fname": "Sarah", "age": 20, "sex": "F", "major": 550, "advisor": 8772, "city_code": "PHL"}, {"stuid": 1032, "lname": "Brown", "fname": "Eric", "age": 20, "sex": "M", "major": 550, "advisor": 8772, "city_code": "ATL"}, {"stuid": 1033, "lname": "Simms", "fname": "William", "age": 18, "sex": "M", "major": 550, "advisor": 8772, "city_code": "NAR"}, {"stuid": 1034, "lname": "Epp", "fname": "Eric", "age": 18, "sex": "M", "major": 50, "advisor": 5718, "city_code": "BOS"}, {"stuid": 1035, "lname": "Schmidt", "fname": "Sarah", "age": 26, "sex": "F", "major": 50, "advisor": 5718, "city_code": "WAS"}], "member_of_club": [{"stuid": 1001, "clubid": 1, "position": "President"}, {"stuid": 1007, "clubid": 4, "position": "Vice-President"}, {"stuid": 1008, "clubid": 2, "position": "CTO"}, {"stuid": 1010, "clubid": 1, "position": "Teaching Coordinator"}]}, "correct_code": "-- Load club_1__student data\nstudent = load(\"student\")\n\nfiltered_student = student\n |> filter(sex == \"M\")\n\nsummary = filtered_student\n |> group_by(city_code)\n |> aggregate(total_advisor: sum(advisor), count: count())\n\nresult = summary\n |> sort_by(count, desc)\n |> take(3)\n\nemit result", "buggy_code": "-- Load club_1__student data\nstudent = load(\"student\")\n\nfiltered_student = student\n |> filter(sex == \"M\")\n\nsummary = filtered_student\n |> group_by(city_code)\n |> aggregate(total_advisor: sum(advisor), count: count())\n\nresult = summary\n |> sort_by(count, desc)\n |> taek(3)\n\nemit result", "expected_output": [{"city_code": "PIT", "total_advisor": 15978, "count": 3}, {"city_code": "NYC", "total_advisor": 24715, "count": 3}, {"city_code": "YYZ", "total_advisor": 3313, "count": 2}], "bug_info": [{"category": "syntax", "description": "Typo in keyword: 'take' \u2192 'taek'", "line_num": 13, "original": "|> take(3)", "mutated": "|> taek(3)"}], "difficulty": "easy", "domain": "club_1__student", "num_nodes": 4, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_medium | {"datasets": {"problem_log": [{"problem_log_id": 1, "assigned_to_staff_id": 11, "problem_id": 11, "problem_category_code": "Middleware", "problem_status_code": "Solved", "log_entry_date": "2011-03-13 13:11:57", "log_entry_description": "t", "log_entry_fix": "k", "other_log_details": "p"}, {"problem_log_id": 2, "assigned_to_staff_id": 11, "problem_id": 8, "problem_category_code": "GUI", "problem_status_code": "Solved", "log_entry_date": "1976-03-31 14:03:02", "log_entry_description": "a", "log_entry_fix": "k", "other_log_details": "s"}, {"problem_log_id": 3, "assigned_to_staff_id": 12, "problem_id": 1, "problem_category_code": "GUI", "problem_status_code": "Solved", "log_entry_date": "1974-12-11 01:06:22", "log_entry_description": "b", "log_entry_fix": "j", "other_log_details": "e"}, {"problem_log_id": 4, "assigned_to_staff_id": 12, "problem_id": 12, "problem_category_code": "GUI", "problem_status_code": "Reported", "log_entry_date": "1993-04-02 11:07:29", "log_entry_description": "a", "log_entry_fix": "t", "other_log_details": "b"}, {"problem_log_id": 5, "assigned_to_staff_id": 6, "problem_id": 12, "problem_category_code": "Middleware", "problem_status_code": "Reported", "log_entry_date": "1976-09-17 09:01:12", "log_entry_description": "c", "log_entry_fix": "n", "other_log_details": "u"}, {"problem_log_id": 6, "assigned_to_staff_id": 2, "problem_id": 13, "problem_category_code": "GUI", "problem_status_code": "Solved", "log_entry_date": "1983-07-01 02:12:36", "log_entry_description": "h", "log_entry_fix": "g", "other_log_details": "n"}, {"problem_log_id": 7, "assigned_to_staff_id": 13, "problem_id": 1, "problem_category_code": "Datatabase", "problem_status_code": "Solved", "log_entry_date": "1974-09-13 00:37:26", "log_entry_description": "s", "log_entry_fix": "c", "other_log_details": "v"}, {"problem_log_id": 8, "assigned_to_staff_id": 4, "problem_id": 15, "problem_category_code": "Datatabase", "problem_status_code": "Solved", "log_entry_date": "1999-08-17 00:00:18", "log_entry_description": "j", "log_entry_fix": "h", "other_log_details": "j"}, {"problem_log_id": 9, "assigned_to_staff_id": 10, "problem_id": 13, "problem_category_code": "GUI", "problem_status_code": "Reported", "log_entry_date": "1993-06-21 22:33:35", "log_entry_description": "p", "log_entry_fix": "i", "other_log_details": "f"}, {"problem_log_id": 10, "assigned_to_staff_id": 6, "problem_id": 1, "problem_category_code": "Middleware", "problem_status_code": "Reported", "log_entry_date": "2001-05-14 10:03:53", "log_entry_description": "d", "log_entry_fix": "x", "other_log_details": "d"}, {"problem_log_id": 11, "assigned_to_staff_id": 1, "problem_id": 8, "problem_category_code": "Datatabase", "problem_status_code": "Solved", "log_entry_date": "1973-03-12 16:30:50", "log_entry_description": "w", "log_entry_fix": "k", "other_log_details": "a"}, {"problem_log_id": 12, "assigned_to_staff_id": 4, "problem_id": 10, "problem_category_code": "Middleware", "problem_status_code": "Solved", "log_entry_date": "1997-08-31 08:19:12", "log_entry_description": "c", "log_entry_fix": "y", "other_log_details": "c"}, {"problem_log_id": 13, "assigned_to_staff_id": 6, "problem_id": 10, "problem_category_code": "Middleware", "problem_status_code": "Reported", "log_entry_date": "2009-04-10 19:09:30", "log_entry_description": "q", "log_entry_fix": "t", "other_log_details": "o"}, {"problem_log_id": 14, "assigned_to_staff_id": 8, "problem_id": 4, "problem_category_code": "Datatabase", "problem_status_code": "Reported", "log_entry_date": "2011-11-12 23:30:53", "log_entry_description": "a", "log_entry_fix": "s", "other_log_details": "c"}, {"problem_log_id": 15, "assigned_to_staff_id": 5, "problem_id": 7, "problem_category_code": "GUI", "problem_status_code": "Reported", "log_entry_date": "1982-11-17 06:05:52", "log_entry_description": "v", "log_entry_fix": "o", "other_log_details": "d"}], "problem_category_codes": [{"problem_category_code": "Datatabase", "problem_category_description": "Database design or contents."}, {"problem_category_code": "GUI", "problem_category_description": "User Interface."}, {"problem_category_code": "Middleware", "problem_category_description": "Infrastructrure and Architecture"}]}, "correct_code": "-- Load tracking_software_problems__problem_log data\nproblem_log = load(\"problem_log\")\n\nfiltered_problem_log = problem_log\n |> filter(other_log_details == \"s\")\n\nsummary = filtered_problem_log\n |> group_by(log_entry_date)\n |> aggregate(avg_problem_log_id: avg(problem_log_id), count: count())\n\nresult = summary\n |> sort_by(count, asc)\n |> take(5)\n\nemit result", "buggy_code": "-- Load tracking_software_problems__problem_log data\nproblem_log = load(\"problem_log\")\n\nfiltered_problem_log = problem_log\n |> filter(other_log_details <= \"s\")\n\nsummary = filtered_problem_log\n |> group_by(log_entry_date)\n |> aggregate(avg_problem_log_id: avg(problem_log_id), count: count())\n\nresult = summary\n |> sort_by(count, asc)\n |> take(5)\n\nemit result", "expected_output": [{"log_entry_date": "1976-03-31 14:03:02", "avg_problem_log_id": 2.0, "count": 1}], "bug_info": [{"category": "wrong_arg", "description": "Wrong comparison operator: '==' \u2192 '<='", "line_num": 5, "original": "|> filter(other_log_details == \"s\")", "mutated": "|> filter(other_log_details <= \"s\")"}], "difficulty": "medium", "domain": "tracking_software_problems__problem_log", "num_nodes": 4, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_easy | {"datasets": {"customer_addresses": [{"customer_id": 5, "address_id": 6, "date_from": "2016-09-06 19:23:46", "address_type": "House", "date_to": "2018-02-25 15:34:58"}, {"customer_id": 14, "address_id": 5, "date_from": "2016-12-21 03:49:54", "address_type": "House", "date_to": "2018-03-13 21:20:21"}, {"customer_id": 2, "address_id": 2, "date_from": "2014-06-09 06:31:49", "address_type": "Flat", "date_to": "2018-03-02 21:56:40"}, {"customer_id": 10, "address_id": 6, "date_from": "2011-05-24 21:49:34", "address_type": "House", "date_to": "2018-03-18 12:45:44"}, {"customer_id": 14, "address_id": 2, "date_from": "2011-12-06 16:49:10", "address_type": "Flat", "date_to": "2018-02-24 20:18:08"}, {"customer_id": 10, "address_id": 1, "date_from": "2012-05-24 11:47:54", "address_type": "House", "date_to": "2018-03-14 20:26:33"}, {"customer_id": 7, "address_id": 3, "date_from": "2016-08-17 17:45:20", "address_type": "Flat", "date_to": "2018-03-16 14:09:24"}, {"customer_id": 4, "address_id": 9, "date_from": "2009-08-03 03:17:03", "address_type": "House", "date_to": "2018-03-15 23:45:59"}, {"customer_id": 3, "address_id": 7, "date_from": "2010-12-29 11:01:39", "address_type": "House", "date_to": "2018-03-22 02:54:10"}, {"customer_id": 12, "address_id": 6, "date_from": "2012-08-31 15:41:03", "address_type": "Flat", "date_to": "2018-03-02 23:42:49"}, {"customer_id": 12, "address_id": 11, "date_from": "2008-04-02 08:23:13", "address_type": "Apartment", "date_to": "2018-03-17 12:51:37"}, {"customer_id": 14, "address_id": 10, "date_from": "2011-08-18 09:40:49", "address_type": "House", "date_to": "2018-03-06 15:48:13"}, {"customer_id": 1, "address_id": 11, "date_from": "2014-12-20 18:58:32", "address_type": "House", "date_to": "2018-02-27 00:53:48"}, {"customer_id": 8, "address_id": 6, "date_from": "2013-05-06 00:49:45", "address_type": "Flat", "date_to": "2018-03-05 01:34:02"}, {"customer_id": 12, "address_id": 5, "date_from": "2017-11-01 10:59:35", "address_type": "Flat", "date_to": "2018-03-09 05:05:17"}], "customers": [{"customer_id": 1, "payment_method": "Visa", "customer_name": "Ron Emard", "customer_phone": "1-382-503-5179x53639", "customer_email": "shaniya45@example.net", "date_became_customer": "2011-04-25 22:20:35"}, {"customer_id": 2, "payment_method": "MasterCard", "customer_name": "Gabe Schroeder", "customer_phone": "1-728-537-4293x0885", "customer_email": "alexandra91@example.net", "date_became_customer": "2011-10-17 16:08:25"}, {"customer_id": 3, "payment_method": "Discover", "customer_name": "Candace Schneider", "customer_phone": "940.575.3682x7959", "customer_email": "tkassulke@example.com", "date_became_customer": "2012-01-11 21:17:01"}, {"customer_id": 4, "payment_method": "Visa", "customer_name": "Jaden Lang", "customer_phone": "361.151.3489x7272", "customer_email": "dedric17@example.org", "date_became_customer": "2009-12-29 17:38:10"}, {"customer_id": 5, "payment_method": "Visa", "customer_name": "Geovanni Grady", "customer_phone": "1-005-644-2495", "customer_email": "elmira.langworth@example.org", "date_became_customer": "2017-05-21 07:09:55"}, {"customer_id": 6, "payment_method": "Visa", "customer_name": "Dr. Karine Farrell", "customer_phone": "+49(2)0677806107", "customer_email": "reichel.winnifred@example.org", "date_became_customer": "2010-11-06 08:42:56"}, {"customer_id": 7, "payment_method": "Discover", "customer_name": "Emmanuel Reilly", "customer_phone": "129.959.6420", "customer_email": "gleichner.ethelyn@example.net", "date_became_customer": "2013-11-29 06:15:22"}, {"customer_id": 8, "payment_method": "MasterCard", "customer_name": "Keenan Kuhic", "customer_phone": "686-517-9923x348", "customer_email": "dallin76@example.org", "date_became_customer": "2013-04-09 18:17:05"}, {"customer_id": 9, "payment_method": "American", "customer_name": "Rusty Morar", "customer_phone": "1-123-197-9677x7194", "customer_email": "njenkins@example.org", "date_became_customer": "2015-09-09 09:29:06"}, {"customer_id": 10, "payment_method": "Visa", "customer_name": "Lila Howe", "customer_phone": "1-492-284-1097", "customer_email": "leann.hamill@example.org", "date_became_customer": "2014-02-04 04:51:58"}, {"customer_id": 11, "payment_method": "Visa", "customer_name": "Amalia Hudson DDS", "customer_phone": "003-991-1506x483", "customer_email": "danika49@example.com", "date_became_customer": "2014-02-25 19:39:51"}, {"customer_id": 12, "payment_method": "Discover", "customer_name": "Verda Streich", "customer_phone": "06730471330", "customer_email": "xgraham@example.org", "date_became_customer": "2008-10-12 12:19:27"}, {"customer_id": 13, "payment_method": "Discover", "customer_name": "Patience Yundt", "customer_phone": "969-208-8932x715", "customer_email": "kira82@example.com", "date_became_customer": "2017-03-25 18:48:04"}, {"customer_id": 14, "payment_method": "Visa", "customer_name": "Annabell Walsh", "customer_phone": "(881)096-1281x6448", "customer_email": "adriana83@example.org", "date_became_customer": "2017-06-30 19:02:11"}, {"customer_id": 15, "payment_method": "Visa", "customer_name": "Aracely Borer V", "customer_phone": "531-617-3230", "customer_email": "rollin95@example.net", "date_became_customer": "2015-09-13 22:39:50"}]}, "correct_code": "-- Load customer_deliveries__customer_addresses data\ncustomer_addresses = load(\"customer_addresses\")\n\nfiltered_customer_addresses = customer_addresses\n |> filter(date_from == \"2016-09-06 19:23:46\")\n |> filter(customer_id < 7)\n\nresult = filtered_customer_addresses\n |> sort_by(customer_id, desc)\n |> take(5)\n\nemit result", "buggy_code": "-- Load customer_deliveries__customer_addresses data\ncustomer_addresses = load(\"customer_addresses\")\n\nfiltered_customer_addresses = customer_addresses\n |> filter(date_from == \"2016-09-06 19:23:46\")\n |> filter(customer_id < 7)\n\nresult = filtered_customer_addresses\n |> sort_by(customer_id, desc)\n take(5)\n\nemit result", "expected_output": [{"customer_id": 5, "address_id": 6, "date_from": "2016-09-06 19:23:46", "address_type": "House", "date_to": "2018-02-25 15:34:58"}], "bug_info": [{"category": "syntax", "description": "Missing pipe operator '|>'", "line_num": 10, "original": "|> take(5)", "mutated": "take(5)"}], "difficulty": "easy", "domain": "customer_deliveries__customer_addresses", "num_nodes": 3, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_hard | {"datasets": {"section": [{"course_id": "313", "sec_id": "1", "semester": "Fall", "year": 2010, "building": "Chandler", "room_number": "804", "time_slot_id": "N"}, {"course_id": "747", "sec_id": "1", "semester": "Spring", "year": 2004, "building": "Gates", "room_number": "314", "time_slot_id": "K"}, {"course_id": "443", "sec_id": "1", "semester": "Spring", "year": 2010, "building": "Whitman", "room_number": "434", "time_slot_id": "O"}, {"course_id": "893", "sec_id": "1", "semester": "Fall", "year": 2007, "building": "Fairchild", "room_number": "145", "time_slot_id": "B"}, {"course_id": "663", "sec_id": "1", "semester": "Spring", "year": 2005, "building": "Fairchild", "room_number": "145", "time_slot_id": "D"}, {"course_id": "457", "sec_id": "1", "semester": "Spring", "year": 2001, "building": "Saucon", "room_number": "844", "time_slot_id": "D"}, {"course_id": "445", "sec_id": "1", "semester": "Spring", "year": 2001, "building": "Alumni", "room_number": "547", "time_slot_id": "J"}, {"course_id": "559", "sec_id": "1", "semester": "Fall", "year": 2002, "building": "Lamberton", "room_number": "134", "time_slot_id": "J"}, {"course_id": "239", "sec_id": "1", "semester": "Fall", "year": 2006, "building": "Taylor", "room_number": "183", "time_slot_id": "C"}, {"course_id": "802", "sec_id": "1", "semester": "Spring", "year": 2003, "building": "Saucon", "room_number": "113", "time_slot_id": "J"}, {"course_id": "158", "sec_id": "1", "semester": "Fall", "year": 2008, "building": "Whitman", "room_number": "434", "time_slot_id": "F"}, {"course_id": "735", "sec_id": "1", "semester": "Spring", "year": 2003, "building": "Drown", "room_number": "757", "time_slot_id": "D"}, {"course_id": "237", "sec_id": "1", "semester": "Spring", "year": 2008, "building": "Power", "room_number": "717", "time_slot_id": "D"}, {"course_id": "338", "sec_id": "1", "semester": "Spring", 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"1", "semester": "Fall", "year": 2009, "building": "Lamberton", "room_number": "143", "time_slot_id": "H"}, {"course_id": "468", "sec_id": "1", "semester": "Fall", "year": 2005, "building": "Lambeau", "room_number": "348", "time_slot_id": "J"}, {"course_id": "748", "sec_id": "1", "semester": "Fall", "year": 2003, "building": "Saucon", "room_number": "180", "time_slot_id": "L"}, {"course_id": "694", "sec_id": "1", "semester": "Fall", "year": 2002, "building": "Alumni", "room_number": "143", "time_slot_id": "O"}, {"course_id": "345", "sec_id": "1", "semester": "Spring", "year": 2008, "building": "Taylor", "room_number": "183", "time_slot_id": "A"}, {"course_id": "352", "sec_id": "1", "semester": "Spring", "year": 2006, "building": "Lambeau", "room_number": "348", "time_slot_id": "M"}, {"course_id": "581", "sec_id": "1", "semester": "Spring", "year": 2005, "building": "Alumni", "room_number": "547", "time_slot_id": "G"}, {"course_id": "493", "sec_id": "1", "semester": "Spring", "year": 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"time_slot_id": "K"}, {"course_id": "612", "sec_id": "1", "semester": "Fall", "year": 2007, "building": "Lamberton", "room_number": "143", "time_slot_id": "G"}, {"course_id": "169", "sec_id": "1", "semester": "Spring", "year": 2007, "building": "Gates", "room_number": "314", "time_slot_id": "A"}, {"course_id": "791", "sec_id": "1", "semester": "Spring", "year": 2006, "building": "Polya", "room_number": "808", "time_slot_id": "H"}, {"course_id": "867", "sec_id": "2", "semester": "Fall", "year": 2010, "building": "Lamberton", "room_number": "134", "time_slot_id": "M"}, {"course_id": "489", "sec_id": "1", "semester": "Fall", "year": 2007, "building": "Lamberton", "room_number": "143", "time_slot_id": "D"}, {"course_id": "158", "sec_id": "2", "semester": "Spring", "year": 2008, "building": "Taylor", "room_number": "812", "time_slot_id": "D"}, {"course_id": "242", "sec_id": "1", "semester": "Fall", "year": 2009, "building": "Fairchild", "room_number": "145", "time_slot_id": "C"}, {"course_id": "960", "sec_id": "1", "semester": "Fall", "year": 2009, "building": "Lamberton", "room_number": "134", "time_slot_id": "J"}, {"course_id": "421", "sec_id": "1", "semester": "Fall", "year": 2004, "building": "Gates", "room_number": "707", "time_slot_id": "E"}, {"course_id": "105", "sec_id": "1", "semester": "Fall", "year": 2009, "building": "Chandler", "room_number": "375", "time_slot_id": "C"}, {"course_id": "591", "sec_id": "1", "semester": "Spring", "year": 2005, "building": "Saucon", "room_number": "180", "time_slot_id": "F"}, {"course_id": "192", "sec_id": "1", "semester": "Fall", "year": 2002, "building": "Polya", "room_number": "808", "time_slot_id": "B"}, {"course_id": "362", "sec_id": "2", "semester": "Fall", "year": 2006, "building": "Alumni", "room_number": "547", "time_slot_id": "A"}, {"course_id": "270", "sec_id": "1", "semester": "Spring", "year": 2010, "building": "Power", "room_number": "717", "time_slot_id": "M"}, {"course_id": "461", "sec_id": "1", "semester": "Fall", "year": 2002, "building": "Main", "room_number": "425", "time_slot_id": "P"}, {"course_id": "704", "sec_id": "1", "semester": "Spring", "year": 2008, "building": "Taylor", "room_number": "812", "time_slot_id": "E"}, {"course_id": "626", "sec_id": "1", "semester": "Fall", "year": 2006, "building": "Lamberton", "room_number": "143", "time_slot_id": "B"}, {"course_id": "105", "sec_id": "2", "semester": "Fall", "year": 2002, "building": "Taylor", "room_number": "183", "time_slot_id": "C"}, {"course_id": "696", "sec_id": "1", "semester": "Spring", "year": 2002, "building": "Saucon", "room_number": "180", "time_slot_id": "E"}, {"course_id": "962", "sec_id": "1", "semester": "Spring", "year": 2008, "building": "Nassau", "room_number": "45", "time_slot_id": "L"}, {"course_id": "362", "sec_id": "3", "semester": "Spring", "year": 2008, "building": "Bronfman", "room_number": "700", "time_slot_id": "L"}, {"course_id": "852", "sec_id": "1", "semester": "Spring", "year": 2008, "building": "Gates", "room_number": "707", "time_slot_id": "F"}, {"course_id": "949", "sec_id": "1", "semester": "Fall", "year": 2007, "building": "Saucon", "room_number": "180", "time_slot_id": "B"}, {"course_id": "482", "sec_id": "1", "semester": "Fall", "year": 2005, "building": "Whitman", "room_number": "434", "time_slot_id": "H"}, {"course_id": "527", "sec_id": "1", "semester": "Fall", "year": 2004, "building": "Saucon", "room_number": "113", "time_slot_id": "M"}, {"course_id": "476", "sec_id": "1", "semester": "Fall", "year": 2010, "building": "Drown", "room_number": "757", "time_slot_id": "C"}, {"course_id": "991", "sec_id": "1", "semester": "Spring", "year": 2008, "building": "Lamberton", "room_number": "134", "time_slot_id": "J"}, {"course_id": "408", "sec_id": "1", "semester": "Spring", "year": 2007, "building": "Taylor", "room_number": "812", "time_slot_id": "C"}, {"course_id": "319", "sec_id": "1", "semester": "Spring", "year": 2003, "building": "Rathbone", "room_number": "261", "time_slot_id": "E"}, {"course_id": "400", "sec_id": "2", "semester": "Fall", "year": 2003, "building": "Main", "room_number": "425", "time_slot_id": "O"}, {"course_id": "401", "sec_id": "1", "semester": "Fall", "year": 2003, "building": "Saucon", "room_number": "180", "time_slot_id": "A"}, {"course_id": "960", "sec_id": "2", "semester": "Fall", "year": 2006, "building": "Power", "room_number": "717", "time_slot_id": "M"}, {"course_id": "571", "sec_id": "1", "semester": "Spring", "year": 2004, "building": "Power", "room_number": "972", "time_slot_id": "I"}, {"course_id": "468", "sec_id": "2", "semester": "Fall", "year": 2007, "building": "Power", "room_number": "717", "time_slot_id": "L"}, {"course_id": "735", "sec_id": "2", "semester": "Spring", "year": 2010, "building": "Taylor", "room_number": "183", "time_slot_id": "D"}, {"course_id": "169", "sec_id": "2", "semester": "Fall", "year": 2002, "building": "Drown", "room_number": "757", "time_slot_id": "L"}, {"course_id": "496", "sec_id": "1", "semester": "Fall", "year": 2001, "building": "Taylor", "room_number": "812", "time_slot_id": "I"}, {"course_id": "200", "sec_id": "2", "semester": "Fall", "year": 2002, "building": "Chandler", "room_number": "375", "time_slot_id": "D"}, {"course_id": "875", "sec_id": "1", "semester": "Spring", "year": 2005, "building": "Power", "room_number": "717", "time_slot_id": "P"}, {"course_id": "603", "sec_id": "1", "semester": "Fall", "year": 2003, "building": "Taylor", "room_number": "812", "time_slot_id": "P"}, {"course_id": "408", "sec_id": "2", "semester": "Spring", "year": 2003, "building": "Taylor", "room_number": "183", "time_slot_id": "J"}, {"course_id": "338", "sec_id": "2", "semester": "Spring", "year": 2006, "building": "Stabler", "room_number": "105", "time_slot_id": "J"}, {"course_id": "864", "sec_id": "1", "semester": "Spring", "year": 2006, "building": "Power", "room_number": "972", "time_slot_id": "D"}], "classroom": [{"building": "Lamberton", "room_number": "134", "capacity": 10}, {"building": "Chandler", "room_number": "375", "capacity": 10}, {"building": "Fairchild", "room_number": "145", "capacity": 27}, {"building": "Nassau", "room_number": "45", "capacity": 92}, {"building": "Grace", "room_number": "40", "capacity": 34}, {"building": "Whitman", "room_number": "134", "capacity": 120}, {"building": "Lamberton", "room_number": "143", "capacity": 10}, {"building": "Taylor", "room_number": "812", "capacity": 115}, {"building": "Saucon", "room_number": "113", "capacity": 109}, {"building": "Painter", "room_number": "86", "capacity": 97}, {"building": "Alumni", "room_number": "547", "capacity": 26}, {"building": "Alumni", "room_number": "143", "capacity": 47}, {"building": "Drown", "room_number": "757", "capacity": 18}, {"building": "Saucon", "room_number": "180", "capacity": 15}, {"building": "Whitman", "room_number": "434", "capacity": 32}, {"building": "Saucon", "room_number": "844", "capacity": 24}, {"building": "Bronfman", "room_number": "700", "capacity": 12}, {"building": "Polya", "room_number": "808", "capacity": 28}, {"building": "Gates", "room_number": "707", "capacity": 65}, {"building": "Gates", "room_number": "314", "capacity": 10}, {"building": "Main", "room_number": "45", "capacity": 30}, {"building": "Taylor", "room_number": "183", "capacity": 71}, {"building": "Power", "room_number": "972", "capacity": 10}, {"building": "Garfield", "room_number": "119", "capacity": 59}, {"building": "Rathbone", "room_number": "261", "capacity": 60}, {"building": "Stabler", "room_number": "105", "capacity": 113}, {"building": "Power", "room_number": "717", "capacity": 12}, {"building": "Main", "room_number": "425", "capacity": 22}, {"building": "Lambeau", "room_number": "348", "capacity": 51}, {"building": "Chandler", "room_number": "804", "capacity": 11}]}, "correct_code": "-- Load college_2__section data\nsection = load(\"section\")\n\nfiltered_section = section\n |> filter(building == \"Rathbone\")\n |> select(year, course_id, building)\n\n-- Load lookup data\nclassroom = load(\"classroom\")\n\nenriched = join(filtered_section, classroom, on: building == building)\n\nresult = enriched\n |> sort_by(year, asc)\n |> take(3)\n\nemit result", "buggy_code": "-- Load college_2__section data\nsection = load(\"section\")\n\nfiltered_section = section\n |> filter(building == \"Rathbon\")\n |> select(year, course_id, building)\n\n-- Load lookup data\nclassroom = load(\"classroom\")\n\nenriched = join(filtered_section, classroom, on: building == building)\n\nresult = enriched\n |> sort_by(year, asc)\n |> take(3)\n\nemit result", "expected_output": [{"year": 2003, "course_id": "319", "building": "Rathbone", "room_number": "261", "capacity": 60}], "bug_info": [{"category": "logic_bug", "description": "Wrong filter value: 'Rathbone' \u2192 'Rathbon'", "line_num": 5, "original": "|> filter(building == \"Rathbone\")", "mutated": "|> filter(building == \"Rathbon\")"}], "difficulty": "hard", "domain": "college_2__section", "num_nodes": 5, "has_join": true} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_medium | {"datasets": {"transactions_lots": [{"transaction_id": 3, "lot_id": 11}, {"transaction_id": 3, "lot_id": 8}, {"transaction_id": 2, "lot_id": 11}, {"transaction_id": 3, "lot_id": 14}, {"transaction_id": 12, "lot_id": 10}, {"transaction_id": 15, "lot_id": 10}, {"transaction_id": 10, "lot_id": 10}, {"transaction_id": 1, "lot_id": 1}, {"transaction_id": 1, "lot_id": 14}, {"transaction_id": 3, "lot_id": 4}, {"transaction_id": 14, "lot_id": 9}, {"transaction_id": 7, "lot_id": 1}, {"transaction_id": 12, "lot_id": 15}, {"transaction_id": 6, "lot_id": 3}, {"transaction_id": 2, "lot_id": 1}], "lots": [{"lot_id": 1, "investor_id": 13, "lot_details": "r"}, {"lot_id": 2, "investor_id": 16, "lot_details": "z"}, {"lot_id": 3, "investor_id": 10, "lot_details": "s"}, {"lot_id": 4, "investor_id": 19, "lot_details": "s"}, {"lot_id": 5, "investor_id": 6, "lot_details": "q"}, {"lot_id": 6, "investor_id": 20, "lot_details": "d"}, {"lot_id": 7, "investor_id": 7, "lot_details": "m"}, {"lot_id": 8, "investor_id": 7, "lot_details": "h"}, {"lot_id": 9, "investor_id": 20, "lot_details": "z"}, {"lot_id": 10, "investor_id": 9, "lot_details": "x"}, {"lot_id": 11, "investor_id": 1, "lot_details": "d"}, {"lot_id": 12, "investor_id": 19, "lot_details": "m"}, {"lot_id": 13, "investor_id": 7, "lot_details": "z"}, {"lot_id": 14, "investor_id": 6, "lot_details": "d"}, {"lot_id": 15, "investor_id": 1, "lot_details": "h"}]}, "correct_code": "-- Load tracking_share_transactions__transactions_lots data\ntransactions_lots = load(\"transactions_lots\")\n |> select(transaction_id, lot_id)\n\nprocessed = transactions_lots\n |> compute(computed_val: lot_id * transaction_id)\n\nresult = processed\n |> sort_by(computed_val, desc)\n |> take(10)\n\nemit result", "buggy_code": "-- Load tracking_share_transactions__transactions_lots data\ntransactions_lots = load(\"transactions_lots\")\n |> select(transaction_id, lot_id)\n\nprocessed = transactions_lots\n |> compute(computed_val: lot_id * transaction_id)\n\nresult = processed\n |> sort_by(computed_val, desc)\n |> take(11)\n\nemit result", "expected_output": [{"transaction_id": 12, "lot_id": 15, "computed_val": 180}, {"transaction_id": 15, "lot_id": 10, "computed_val": 150}, {"transaction_id": 14, "lot_id": 9, "computed_val": 126}, {"transaction_id": 12, "lot_id": 10, "computed_val": 120}, {"transaction_id": 10, "lot_id": 10, "computed_val": 100}, {"transaction_id": 3, "lot_id": 14, "computed_val": 42}, {"transaction_id": 3, "lot_id": 11, "computed_val": 33}, {"transaction_id": 3, "lot_id": 8, "computed_val": 24}, {"transaction_id": 2, "lot_id": 11, "computed_val": 22}, {"transaction_id": 6, "lot_id": 3, "computed_val": 18}], "bug_info": [{"category": "logic_bug", "description": "Off-by-one in take: 10 \u2192 11", "line_num": 10, "original": "|> take(10)", "mutated": "|> take(11)"}], "difficulty": "medium", "domain": "tracking_share_transactions__transactions_lots", "num_nodes": 3, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_easy | {"datasets": {"lessons": [{"lesson_id": 1, "customer_id": 6, "lesson_status_code": "Cancelled", "staff_id": 8, "vehicle_id": 3, "lesson_date": "2018-02-28 10:55:36", "lesson_time": "5", "price": 199.0}, {"lesson_id": 2, "customer_id": 8, "lesson_status_code": "Cancelled", "staff_id": 14, "vehicle_id": 3, "lesson_date": "2018-03-07 16:12:36", "lesson_time": "6", "price": 167.0}, {"lesson_id": 3, "customer_id": 6, "lesson_status_code": "Cancelled", "staff_id": 11, "vehicle_id": 2, "lesson_date": "2018-03-03 15:10:16", "lesson_time": "3", "price": 352.0}, {"lesson_id": 4, "customer_id": 8, "lesson_status_code": "Completed", "staff_id": 1, "vehicle_id": 2, "lesson_date": "2018-03-17 19:02:07", "lesson_time": "9", "price": 306.0}, {"lesson_id": 5, "customer_id": 10, "lesson_status_code": "Completed", "staff_id": 3, "vehicle_id": 2, "lesson_date": "2018-03-12 00:41:59", "lesson_time": "9", "price": 295.0}, {"lesson_id": 6, "customer_id": 5, "lesson_status_code": "Completed", "staff_id": 4, "vehicle_id": 2, "lesson_date": "2018-03-07 22:03:49", "lesson_time": "6", "price": 492.0}, {"lesson_id": 7, "customer_id": 9, "lesson_status_code": "Cancelled", "staff_id": 11, "vehicle_id": 1, "lesson_date": "2018-03-08 16:05:05", "lesson_time": "9", "price": 231.0}, {"lesson_id": 8, "customer_id": 3, "lesson_status_code": "Completed", "staff_id": 8, "vehicle_id": 2, "lesson_date": "2018-03-21 06:48:45", "lesson_time": "2", "price": 277.0}, {"lesson_id": 9, "customer_id": 2, "lesson_status_code": "Completed", "staff_id": 4, "vehicle_id": 2, "lesson_date": "2018-03-05 20:05:33", "lesson_time": "9", "price": 456.0}, {"lesson_id": 10, "customer_id": 2, "lesson_status_code": "Cancelled", "staff_id": 5, "vehicle_id": 2, "lesson_date": "2018-02-26 02:36:35", "lesson_time": "4", "price": 495.0}, {"lesson_id": 11, "customer_id": 10, "lesson_status_code": "Cancelled", "staff_id": 15, "vehicle_id": 1, "lesson_date": "2018-03-04 06:55:46", "lesson_time": "2", "price": 223.0}, {"lesson_id": 12, "customer_id": 11, "lesson_status_code": "Cancelled", "staff_id": 12, "vehicle_id": 2, "lesson_date": "2018-03-16 07:08:52", "lesson_time": "2", "price": 184.0}, {"lesson_id": 13, "customer_id": 13, "lesson_status_code": "Completed", "staff_id": 12, "vehicle_id": 1, "lesson_date": "2018-03-05 18:05:31", "lesson_time": "5", "price": 446.0}, {"lesson_id": 14, "customer_id": 11, "lesson_status_code": "Cancelled", "staff_id": 11, "vehicle_id": 1, "lesson_date": "2018-03-07 11:53:32", "lesson_time": "5", "price": 483.0}, {"lesson_id": 15, "customer_id": 3, "lesson_status_code": "Cancelled", "staff_id": 8, "vehicle_id": 1, "lesson_date": "2018-03-06 21:48:51", "lesson_time": "9", "price": 340.0}], "vehicles": [{"vehicle_id": 1, "vehicle_details": "Van"}, {"vehicle_id": 2, "vehicle_details": "Truck"}, {"vehicle_id": 3, "vehicle_details": "Car"}]}, "correct_code": "-- Load driving_school__lessons data\nlessons = load(\"lessons\")\n\nfiltered_lessons = lessons\n |> filter(lesson_status_code == \"Completed\")\n |> select(lesson_status_code, lesson_id, customer_id)\n\nresult = filtered_lessons\n |> sort_by(customer_id, asc)\n |> take(10)\n\nemit result", "buggy_code": "-- Load driving_school__lessons data\nlessons = load(\"lessons\")\n\nfiltered_lessons = lessons\n |> fliter(lesson_status_code == \"Completed\")\n |> select(lesson_status_code, lesson_id, customer_id)\n\nresult = filtered_lessons\n |> sort_by(customer_id, asc)\n |> take(10)\n\nemit result", "expected_output": [{"lesson_status_code": "Completed", "lesson_id": 9, "customer_id": 2}, {"lesson_status_code": "Completed", "lesson_id": 8, "customer_id": 3}, {"lesson_status_code": "Completed", "lesson_id": 6, "customer_id": 5}, {"lesson_status_code": "Completed", "lesson_id": 4, "customer_id": 8}, {"lesson_status_code": "Completed", "lesson_id": 5, "customer_id": 10}, {"lesson_status_code": "Completed", "lesson_id": 13, "customer_id": 13}], "bug_info": [{"category": "syntax", "description": "Typo in keyword: 'filter' \u2192 'fliter'", "line_num": 5, "original": "|> filter(lesson_status_code == \"Completed\")", "mutated": "|> fliter(lesson_status_code == \"Completed\")"}], "difficulty": "easy", "domain": "driving_school__lessons", "num_nodes": 3, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_medium | {"datasets": {"available_policies": [{"policy_id": 246, "policy_type_code": "Life Insurance", "customer_phone": "+16(2)5838999222"}, {"policy_id": 257, "policy_type_code": "Property Insurance", "customer_phone": "242.763.9214"}, {"policy_id": 300, "policy_type_code": "Property Insurance", "customer_phone": "1-416-503-7735x94204"}, {"policy_id": 301, "policy_type_code": "Property Insurance", "customer_phone": "(777)537-7792"}, {"policy_id": 346, "policy_type_code": "Mortgage Insurance", "customer_phone": "1-446-940-9907x257"}, {"policy_id": 366, "policy_type_code": "Mortgage Insurance", "customer_phone": "(379)862-8274x12620"}, {"policy_id": 472, "policy_type_code": "Mortgage Insurance", "customer_phone": "+85(6)1302858396"}, {"policy_id": 583, "policy_type_code": "Travel Insurance", "customer_phone": "1-797-927-3585x9321"}, {"policy_id": 586, "policy_type_code": "Life Insurance", "customer_phone": "991.642.6485x822"}, {"policy_id": 630, "policy_type_code": "Property Insurance", "customer_phone": "813.178.8211x557"}, {"policy_id": 636, "policy_type_code": "Life Insurance", "customer_phone": "889-572-0609x552"}, {"policy_id": 751, "policy_type_code": "Life Insurance", "customer_phone": "1-138-841-3073"}, {"policy_id": 879, "policy_type_code": "Mortgage Insurance", "customer_phone": "1-381-132-0127x3801"}, {"policy_id": 927, "policy_type_code": "Mortgage Insurance", "customer_phone": "00481937923"}, {"policy_id": 993, "policy_type_code": "Property Insurance", "customer_phone": "405.090.8654x021"}], "customers_policies": [{"customer_id": 214, "policy_id": 257, "date_opened": "2016-11-19", "date_closed": "2018-03-04"}, {"customer_id": 214, "policy_id": 301, "date_opened": "2016-04-12", "date_closed": "2018-02-07"}, {"customer_id": 256, "policy_id": 583, "date_opened": "2016-07-22", "date_closed": "2018-02-20"}, {"customer_id": 562, "policy_id": 346, "date_opened": "2017-01-09", "date_closed": "2018-03-08"}, {"customer_id": 562, "policy_id": 583, "date_opened": "2016-06-24", "date_closed": "2018-02-22"}, {"customer_id": 582, "policy_id": 586, "date_opened": "2016-04-11", "date_closed": "2018-03-17"}, {"customer_id": 641, "policy_id": 366, "date_opened": "2016-07-10", "date_closed": "2018-02-24"}, {"customer_id": 641, "policy_id": 472, "date_opened": "2016-07-07", "date_closed": "2018-03-10"}, {"customer_id": 682, "policy_id": 583, "date_opened": "2016-11-01", "date_closed": "2018-03-03"}, {"customer_id": 826, "policy_id": 630, "date_opened": "2016-11-18", "date_closed": "2018-02-13"}, {"customer_id": 892, "policy_id": 927, "date_opened": "2017-01-08", "date_closed": "2018-02-25"}, {"customer_id": 996, "policy_id": 366, "date_opened": "2016-10-31", "date_closed": "2018-03-19"}, {"customer_id": 996, "policy_id": 879, "date_opened": "2017-01-05", "date_closed": "2018-02-20"}, {"customer_id": 996, "policy_id": 993, "date_opened": "2016-07-03", "date_closed": "2018-03-20"}]}, "correct_code": "-- Load insurance_fnol__available_policies data\navailable_policies = load(\"available_policies\")\n\nfiltered_available_policies = available_policies\n |> filter(policy_type_code == \"Property Insurance\")\n\nsummary = filtered_available_policies\n |> group_by(customer_phone)\n |> aggregate(avg_policy_id: avg(policy_id), count: count())\n\nresult = summary\n |> sort_by(avg_policy_id, asc)\n |> take(10)\n\nemit result", "buggy_code": "-- Load insurance_fnol__available_policies data\navailable_policies = load(\"available_policies\")\n\nfiltered_available_policies = available_policies\n |> filter(policy_type_code == \"Property Insurance\")\n\nsummary = filtered_available_policies\n |> group_by(customer_phone)\n |> aggregate(avg_policy_id: avg(policy_id), count: count())\n\nresult = summary\n |> sort_by(avg_policy_id, desc)\n |> take(10)\n\nemit result", "expected_output": [{"customer_phone": "242.763.9214", "avg_policy_id": 257.0, "count": 1}, {"customer_phone": "1-416-503-7735x94204", "avg_policy_id": 300.0, "count": 1}, {"customer_phone": "(777)537-7792", "avg_policy_id": 301.0, "count": 1}, {"customer_phone": "813.178.8211x557", "avg_policy_id": 630.0, "count": 1}, {"customer_phone": "405.090.8654x021", "avg_policy_id": 993.0, "count": 1}], "bug_info": [{"category": "wrong_arg", "description": "Wrong sort order: 'asc' \u2192 'desc'", "line_num": 12, "original": "|> sort_by(avg_policy_id, asc)", "mutated": "|> sort_by(avg_policy_id, desc)"}], "difficulty": "medium", "domain": "insurance_fnol__available_policies", "num_nodes": 4, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_hard | {"datasets": {"trained_in": [{"physician": 3, "treatment": 1, "certificationdate": "2008-01-01", "certificationexpires": "2008-12-31"}, {"physician": 3, "treatment": 2, "certificationdate": "2008-01-01", "certificationexpires": "2008-12-31"}, {"physician": 3, "treatment": 5, "certificationdate": "2008-01-01", "certificationexpires": "2008-12-31"}, {"physician": 3, "treatment": 6, "certificationdate": "2008-01-01", "certificationexpires": "2008-12-31"}, {"physician": 3, "treatment": 7, "certificationdate": "2008-01-01", "certificationexpires": "2008-12-31"}, {"physician": 6, "treatment": 2, "certificationdate": "2008-01-01", "certificationexpires": "2008-12-31"}, {"physician": 6, "treatment": 5, "certificationdate": "2007-01-01", "certificationexpires": "2007-12-31"}, {"physician": 6, "treatment": 6, "certificationdate": "2008-01-01", "certificationexpires": "2008-12-31"}, {"physician": 7, "treatment": 1, "certificationdate": "2008-01-01", "certificationexpires": "2008-12-31"}, {"physician": 7, "treatment": 2, "certificationdate": "2008-01-01", "certificationexpires": "2008-12-31"}, {"physician": 7, "treatment": 3, "certificationdate": "2008-01-01", "certificationexpires": "2008-12-31"}, {"physician": 7, "treatment": 4, "certificationdate": "2008-01-01", "certificationexpires": "2008-12-31"}, {"physician": 7, "treatment": 5, "certificationdate": "2008-01-01", "certificationexpires": "2008-12-31"}, {"physician": 7, "treatment": 6, "certificationdate": "2008-01-01", "certificationexpires": "2008-12-31"}, {"physician": 7, "treatment": 7, "certificationdate": "2008-01-01", "certificationexpires": "2008-12-31"}], "physician": [{"employeeid": 1, "name": "John Dorian", "position": "Staff Internist", "ssn": 111111111}, {"employeeid": 2, "name": "Elliot Reid", "position": "Attending Physician", "ssn": 222222222}, {"employeeid": 3, "name": "Christopher Turk", "position": "Surgical Attending Physician", "ssn": 333333333}, {"employeeid": 4, "name": "Percival Cox", "position": "Senior Attending Physician", "ssn": 444444444}, {"employeeid": 5, "name": "Bob Kelso", "position": "Head Chief of Medicine", "ssn": 555555555}, {"employeeid": 6, "name": "Todd Quinlan", "position": "Surgical Attending Physician", "ssn": 666666666}, {"employeeid": 7, "name": "John Wen", "position": "Surgical Attending Physician", "ssn": 777777777}, {"employeeid": 8, "name": "Keith Dudemeister", "position": "MD Resident", "ssn": 888888888}, {"employeeid": 9, "name": "Molly Clock", "position": "Attending Psychiatrist", "ssn": 999999999}]}, "correct_code": "-- Load hospital_1__trained_in data\ntrained_in = load(\"trained_in\")\n\nfiltered_trained_in = trained_in\n |> filter(certificationdate == \"2007-01-01\")\n |> select(physician, certificationdate)\n\n-- Load lookup data\nphysician = load(\"physician\")\n\nenriched = join(filtered_trained_in, physician, on: physician == employeeid)\n\nresult = enriched\n |> sort_by(physician, desc)\n |> take(10)\n\nemit result", "buggy_code": "-- Load hospital_1__trained_in data\ntrained_in = load(\"trained_in\")\n\nfiltered_trained_in = trained_in\n |> filter(certificationdate == \"2007-01-01\")\n |> select(physician, 01)\n\n-- Load lookup data\nphysician = load(\"physician\")\n\nenriched = join(filtered_trained_in, physician, on: physician == employeeid)\n\nresult = enriched\n |> sort_by(physician, desc)\n |> take(10)\n\nemit result", "expected_output": [{"physician": 6, "certificationdate": "2007-01-01", "employeeid": 6, "name": "Todd Quinlan", "position": "Surgical Attending Physician", "ssn": 666666666}], "bug_info": [{"category": "wrong_col", "description": "Wrong column reference: 'certificationdate' \u2192 '01'", "line_num": 6, "original": "|> select(physician, certificationdate)", "mutated": "|> select(physician, 01)"}], "difficulty": "hard", "domain": "hospital_1__trained_in", "num_nodes": 5, "has_join": true} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_hard | {"datasets": {"trip": [{"id": 900504, "duration": 384, "start_date": "8/21/2015 17:03", "start_station_name": "Howard at 2nd", "start_station_id": 63, "end_date": "8/21/2015 17:10", "end_station_name": "San Francisco Caltrain 2 (330 Townsend)", "end_station_id": 69, "bike_id": 454, "subscription_type": "Subscriber", "zip_code": 94041}, {"id": 900505, "duration": 588, "start_date": "8/21/2015 17:03", "start_station_name": "South Van Ness at Market", "start_station_id": 66, "end_date": "8/21/2015 17:13", "end_station_name": "San Francisco Caltrain 2 (330 Townsend)", "end_station_id": 69, "bike_id": 574, "subscription_type": "Subscriber", "zip_code": 95119}, {"id": 900506, "duration": 196, "start_date": "8/21/2015 17:04", "start_station_name": "Market at Sansome", "start_station_id": 77, "end_date": "8/21/2015 17:07", "end_station_name": "Harry Bridges Plaza (Ferry Building)", "end_station_id": 50, "bike_id": 636, "subscription_type": "Subscriber", "zip_code": 94925}, {"id": 900507, "duration": 823, "start_date": "8/21/2015 17:04", "start_station_name": "Washington at Kearny", "start_station_id": 46, "end_date": "8/21/2015 17:18", "end_station_name": "2nd at Townsend", "end_station_id": 61, "bike_id": 187, "subscription_type": "Subscriber", "zip_code": 94103}, {"id": 900508, "duration": 1059, "start_date": "8/21/2015 17:04", "start_station_name": "Beale at Market", "start_station_id": 56, "end_date": "8/21/2015 17:22", "end_station_name": "San Francisco Caltrain (Townsend at 4th)", "end_station_id": 70, "bike_id": 363, "subscription_type": "Customer", "zip_code": 94107}, {"id": 900509, "duration": 362, "start_date": "8/21/2015 17:05", "start_station_name": "Clay at Battery", "start_station_id": 41, "end_date": "8/21/2015 17:11", "end_station_name": "Howard at 2nd", "end_station_id": 63, "bike_id": 16, "subscription_type": "Subscriber", "zip_code": 94107}, {"id": 900511, "duration": 528, "start_date": "8/21/2015 17:05", "start_station_name": "Embarcadero at Vallejo", "start_station_id": 48, "end_date": "8/21/2015 17:14", "end_station_name": "Temporary Transbay Terminal (Howard at Beale)", "end_station_id": 55, "bike_id": 67, "subscription_type": "Subscriber", "zip_code": 94608}, {"id": 900514, "duration": 984, "start_date": "8/21/2015 17:06", "start_station_name": "Davis at Jackson", "start_station_id": 42, "end_date": "8/21/2015 17:22", "end_station_name": "San Francisco Caltrain (Townsend at 4th)", "end_station_id": 70, "bike_id": 427, "subscription_type": "Subscriber", "zip_code": 94087}, {"id": 900515, "duration": 982, "start_date": "8/21/2015 17:06", "start_station_name": "Davis at Jackson", "start_station_id": 42, "end_date": "8/21/2015 17:22", "end_station_name": "San Francisco Caltrain 2 (330 Townsend)", "end_station_id": 69, "bike_id": 603, "subscription_type": "Subscriber", "zip_code": 94107}, {"id": 900518, "duration": 422, "start_date": "8/21/2015 17:07", "start_station_name": "Howard at 2nd", "start_station_id": 63, "end_date": "8/21/2015 17:14", "end_station_name": "San Francisco Caltrain 2 (330 Townsend)", "end_station_id": 69, "bike_id": 503, "subscription_type": "Subscriber", "zip_code": 94010}, {"id": 900519, "duration": 837, "start_date": "8/21/2015 17:07", "start_station_name": "2nd at Townsend", "start_station_id": 61, "end_date": "8/21/2015 17:21", "end_station_name": "Market at Sansome", "end_station_id": 77, "bike_id": 351, "subscription_type": "Subscriber", "zip_code": 94609}, {"id": 900520, "duration": 710, "start_date": "8/21/2015 17:07", "start_station_name": "Powell Street BART", "start_station_id": 39, "end_date": "8/21/2015 17:19", "end_station_name": "Townsend at 7th", "end_station_id": 65, "bike_id": 507, "subscription_type": "Subscriber", "zip_code": 94107}, {"id": 900521, "duration": 209, "start_date": "8/21/2015 17:07", "start_station_name": "Temporary Transbay Terminal (Howard at Beale)", "start_station_id": 55, "end_date": "8/21/2015 17:11", "end_station_name": "Harry Bridges Plaza (Ferry Building)", "end_station_id": 50, "bike_id": 415, "subscription_type": "Subscriber", "zip_code": 94901}, {"id": 900522, "duration": 1155, "start_date": "8/21/2015 17:07", "start_station_name": "Clay at Battery", "start_station_id": 41, "end_date": "8/21/2015 17:26", "end_station_name": "San Francisco Caltrain 2 (330 Townsend)", "end_station_id": 69, "bike_id": 29, "subscription_type": "Subscriber", "zip_code": 94061}, {"id": 900523, "duration": 841, "start_date": "8/21/2015 17:08", "start_station_name": "Park at Olive", "start_station_id": 38, "end_date": "8/21/2015 17:22", "end_station_name": "Palo Alto Caltrain Station", "end_station_id": 34, "bike_id": 110, "subscription_type": "Subscriber", "zip_code": 94002}, {"id": 900524, "duration": 693, "start_date": "8/21/2015 17:08", "start_station_name": "Market at Sansome", "start_station_id": 77, "end_date": "8/21/2015 17:20", "end_station_name": "Market at 10th", "end_station_id": 67, "bike_id": 343, "subscription_type": "Subscriber", "zip_code": 94117}, {"id": 900527, "duration": 614, "start_date": "8/21/2015 17:08", "start_station_name": "2nd at South Park", "start_station_id": 64, "end_date": "8/21/2015 17:19", "end_station_name": "Civic Center BART (7th at Market)", "end_station_id": 72, "bike_id": 374, "subscription_type": "Subscriber", "zip_code": 94122}, {"id": 900528, "duration": 400, "start_date": "8/21/2015 17:09", "start_station_name": "Embarcadero at Vallejo", "start_station_id": 48, "end_date": "8/21/2015 17:15", "end_station_name": "Embarcadero at Folsom", "end_station_id": 51, "bike_id": 520, "subscription_type": "Subscriber", "zip_code": 94547}, {"id": 900529, "duration": 787, "start_date": "8/21/2015 17:08", "start_station_name": "Market at Sansome", "start_station_id": 77, "end_date": "8/21/2015 17:22", "end_station_name": "Grant Avenue at Columbus Avenue", 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"duration": 574, "start_date": "8/21/2015 17:58", "start_station_name": "San Francisco Caltrain 2 (330 Townsend)", "start_station_id": 69, "end_date": "8/21/2015 18:08", "end_station_name": "Embarcadero at Folsom", "end_station_id": 51, "bike_id": 473, "subscription_type": "Subscriber", "zip_code": 94105}, {"id": 900707, "duration": 848, "start_date": "8/21/2015 17:59", "start_station_name": "University and Emerson", "start_station_id": 35, "end_date": "8/21/2015 18:13", "end_station_name": "Park at Olive", "end_station_id": 38, "bike_id": 243, "subscription_type": "Subscriber", "zip_code": 94040}, {"id": 900709, "duration": 342, "start_date": "8/21/2015 18:01", "start_station_name": "Yerba Buena Center of the Arts (3rd @ Howard)", "start_station_id": 68, "end_date": "8/21/2015 18:06", "end_station_name": "Powell Street BART", "end_station_id": 39, "bike_id": 375, "subscription_type": "Subscriber", "zip_code": 94804}, {"id": 900711, "duration": 751, "start_date": "8/21/2015 18:01", "start_station_name": "Embarcadero at Folsom", "start_station_id": 51, "end_date": "8/21/2015 18:13", "end_station_name": "San Francisco Caltrain (Townsend at 4th)", "end_station_id": 70, "bike_id": 373, "subscription_type": "Subscriber", "zip_code": 94062}, {"id": 900712, "duration": 277, "start_date": "8/21/2015 18:01", "start_station_name": "2nd at Folsom", "start_station_id": 62, "end_date": "8/21/2015 18:06", "end_station_name": "2nd at Townsend", "end_station_id": 61, "bike_id": 504, "subscription_type": "Subscriber", "zip_code": 94107}, {"id": 900713, "duration": 407, "start_date": "8/21/2015 18:01", "start_station_name": "2nd at Townsend", "start_station_id": 61, "end_date": "8/21/2015 18:08", "end_station_name": "Spear at Folsom", "end_station_id": 49, "bike_id": 282, "subscription_type": "Subscriber", "zip_code": 94102}, {"id": 900714, "duration": 412, "start_date": "8/21/2015 18:01", "start_station_name": "Embarcadero at Sansome", "start_station_id": 60, "end_date": "8/21/2015 18:08", "end_station_name": "Steuart at Market", "end_station_id": 74, "bike_id": 509, "subscription_type": "Subscriber", "zip_code": 94114}, {"id": 900715, "duration": 708, "start_date": "8/21/2015 18:02", "start_station_name": "Commercial at Montgomery", "start_station_id": 45, "end_date": "8/21/2015 18:13", "end_station_name": "2nd at Folsom", "end_station_id": 62, "bike_id": 109, "subscription_type": "Subscriber", "zip_code": 94107}, {"id": 900716, "duration": 759, "start_date": "8/21/2015 18:02", "start_station_name": "San Francisco Caltrain (Townsend at 4th)", "start_station_id": 70, "end_date": "8/21/2015 18:14", "end_station_name": "Harry Bridges Plaza (Ferry Building)", "end_station_id": 50, "bike_id": 137, "subscription_type": "Subscriber", "zip_code": 94930}, {"id": 900717, "duration": 174, "start_date": "8/21/2015 18:02", "start_station_name": "Townsend at 7th", "start_station_id": 65, "end_date": "8/21/2015 18:05", "end_station_name": "San Francisco Caltrain 2 (330 Townsend)", "end_station_id": 69, "bike_id": 659, "subscription_type": "Subscriber", "zip_code": 95051}, {"id": 900718, "duration": 329, "start_date": "8/21/2015 18:02", "start_station_name": "Mountain View Caltrain Station", "start_station_id": 28, "end_date": "8/21/2015 18:08", "end_station_name": "Castro Street and El Camino Real", "end_station_id": 32, "bike_id": 90, "subscription_type": "Subscriber", "zip_code": 94022}, {"id": 900719, "duration": 819, "start_date": "8/21/2015 18:02", "start_station_name": "Yerba Buena Center of the Arts (3rd @ Howard)", "start_station_id": 68, "end_date": "8/21/2015 18:16", "end_station_name": "Townsend at 7th", "end_station_id": 65, "bike_id": 555, "subscription_type": "Subscriber", "zip_code": 94107}, {"id": 900720, "duration": 457, "start_date": "8/21/2015 18:03", "start_station_name": "Temporary Transbay Terminal (Howard at Beale)", "start_station_id": 55, "end_date": "8/21/2015 18:11", "end_station_name": "5th at Howard", "end_station_id": 57, "bike_id": 309, "subscription_type": "Subscriber", "zip_code": 94109}, {"id": 900721, "duration": 542, "start_date": "8/21/2015 18:04", "start_station_name": "5th at Howard", "start_station_id": 57, "end_date": "8/21/2015 18:13", "end_station_name": "Steuart at Market", "end_station_id": 74, "bike_id": 636, "subscription_type": "Subscriber", "zip_code": 94903}, {"id": 900722, "duration": 444, "start_date": "8/21/2015 18:04", "start_station_name": "Embarcadero at Sansome", "start_station_id": 60, "end_date": "8/21/2015 18:11", "end_station_name": "Grant Avenue at Columbus Avenue", "end_station_id": 73, "bike_id": 593, "subscription_type": "Subscriber", "zip_code": 94133}, {"id": 900723, "duration": 860, "start_date": "8/21/2015 18:04", "start_station_name": "Washington at Kearny", "start_station_id": 46, "end_date": "8/21/2015 18:19", "end_station_name": "Temporary Transbay Terminal (Howard at Beale)", "end_station_id": 55, "bike_id": 479, "subscription_type": "Subscriber", "zip_code": 94705}, {"id": 900724, "duration": 1155, "start_date": "8/21/2015 18:05", "start_station_name": "Post at Kearny", "start_station_id": 47, "end_date": "8/21/2015 18:24", "end_station_name": "Golden Gate at Polk", "end_station_id": 59, "bike_id": 429, "subscription_type": "Customer", "zip_code": 85009}, {"id": 900725, "duration": 1050, "start_date": "8/21/2015 18:06", "start_station_name": "Davis at Jackson", "start_station_id": 42, "end_date": "8/21/2015 18:23", "end_station_name": "San Francisco Caltrain 2 (330 Townsend)", "end_station_id": 69, "bike_id": 541, "subscription_type": "Subscriber", "zip_code": 94086}, {"id": 900726, "duration": 473, "start_date": "8/21/2015 18:06", "start_station_name": "Howard at 2nd", "start_station_id": 63, "end_date": "8/21/2015 18:14", "end_station_name": "San Francisco Caltrain 2 (330 Townsend)", "end_station_id": 69, "bike_id": 300, "subscription_type": "Subscriber", "zip_code": 94070}, {"id": 900727, "duration": 295, "start_date": "8/21/2015 18:06", "start_station_name": "Howard at 2nd", "start_station_id": 63, "end_date": "8/21/2015 18:11", "end_station_name": "Harry Bridges Plaza (Ferry Building)", "end_station_id": 50, "bike_id": 384, "subscription_type": "Subscriber", "zip_code": 94115}, {"id": 900728, "duration": 299, "start_date": "8/21/2015 18:06", "start_station_name": "Yerba Buena Center of the Arts (3rd @ Howard)", "start_station_id": 68, "end_date": "8/21/2015 18:11", "end_station_name": "San Francisco Caltrain (Townsend at 4th)", "end_station_id": 70, "bike_id": 586, "subscription_type": "Subscriber", "zip_code": 94070}, {"id": 900729, "duration": 250, "start_date": "8/21/2015 18:07", "start_station_name": "Townsend at 7th", "start_station_id": 65, "end_date": "8/21/2015 18:11", "end_station_name": "San Francisco Caltrain 2 (330 Townsend)", "end_station_id": 69, "bike_id": 535, "subscription_type": "Subscriber", "zip_code": 94401}, {"id": 900730, "duration": 791, "start_date": "8/21/2015 18:07", "start_station_name": "2nd at Townsend", "start_station_id": 61, "end_date": "8/21/2015 18:20", "end_station_name": "Powell Street BART", "end_station_id": 39, "bike_id": 395, "subscription_type": "Customer", "zip_code": 94549}, {"id": 900731, "duration": 832, "start_date": "8/21/2015 18:07", "start_station_name": "Broadway St at Battery St", "start_station_id": 82, "end_date": "8/21/2015 18:21", "end_station_name": "San Francisco Caltrain (Townsend at 4th)", "end_station_id": 70, "bike_id": 191, "subscription_type": "Subscriber", "zip_code": 95130}, {"id": 900732, "duration": 827, "start_date": "8/21/2015 18:08", "start_station_name": "San Francisco Caltrain (Townsend at 4th)", "start_station_id": 70, "end_date": "8/21/2015 18:22", "end_station_name": "Harry Bridges Plaza (Ferry Building)", "end_station_id": 50, "bike_id": 569, "subscription_type": "Subscriber", "zip_code": 94111}, {"id": 900733, "duration": 179, "start_date": "8/21/2015 18:08", "start_station_name": "2nd at Folsom", "start_station_id": 62, "end_date": "8/21/2015 18:11", "end_station_name": "Market at Sansome", "end_station_id": 77, "bike_id": 423, "subscription_type": "Subscriber", "zip_code": 94105}, {"id": 900734, "duration": 499, "start_date": "8/21/2015 18:08", "start_station_name": "Steuart at Market", "start_station_id": 74, "end_date": "8/21/2015 18:16", "end_station_name": "Powell at Post (Union Square)", "end_station_id": 71, "bike_id": 448, "subscription_type": "Subscriber", "zip_code": 94108}, {"id": 900735, "duration": 336, "start_date": "8/21/2015 18:08", "start_station_name": "Embarcadero at Sansome", "start_station_id": 60, "end_date": "8/21/2015 18:14", "end_station_name": "Steuart at Market", "end_station_id": 74, "bike_id": 450, "subscription_type": "Subscriber", "zip_code": 94102}, {"id": 900736, "duration": 836, "start_date": "8/21/2015 18:10", "start_station_name": "San Francisco Caltrain (Townsend at 4th)", "start_station_id": 70, "end_date": "8/21/2015 18:24", "end_station_name": "Broadway St at Battery St", "end_station_id": 82, "bike_id": 478, "subscription_type": "Subscriber", "zip_code": 94133}, {"id": 900737, "duration": 855, "start_date": "8/21/2015 18:10", "start_station_name": "Market at 10th", "start_station_id": 67, "end_date": "8/21/2015 18:25", "end_station_name": "2nd at Folsom", "end_station_id": 62, "bike_id": 420, "subscription_type": "Subscriber", "zip_code": 94709}, {"id": 900738, "duration": 232, "start_date": "8/21/2015 18:11", "start_station_name": "2nd at Folsom", "start_station_id": 62, "end_date": "8/21/2015 18:15", "end_station_name": "2nd at Townsend", "end_station_id": 61, "bike_id": 500, "subscription_type": "Subscriber", "zip_code": 94043}, {"id": 900739, "duration": 708, "start_date": "8/21/2015 18:11", "start_station_name": "Steuart at Market", "start_station_id": 74, "end_date": "8/21/2015 18:23", "end_station_name": "2nd at Townsend", "end_station_id": 61, "bike_id": 463, "subscription_type": "Subscriber", "zip_code": 94158}, {"id": 900740, "duration": 230, "start_date": "8/21/2015 18:11", "start_station_name": "2nd at Folsom", "start_station_id": 62, "end_date": "8/21/2015 18:15", "end_station_name": "Market at Sansome", "end_station_id": 77, "bike_id": 443, "subscription_type": "Subscriber", "zip_code": 94612}, {"id": 900741, "duration": 231, "start_date": "8/21/2015 18:13", "start_station_name": "2nd at South Park", "start_station_id": 64, "end_date": "8/21/2015 18:17", "end_station_name": "San Francisco Caltrain (Townsend at 4th)", "end_station_id": 70, "bike_id": 603, "subscription_type": "Subscriber", "zip_code": 94301}, {"id": 900742, "duration": 126, "start_date": "8/21/2015 18:13", "start_station_name": "Howard at 2nd", "start_station_id": 63, "end_date": "8/21/2015 18:15", "end_station_name": "Market at Sansome", "end_station_id": 77, "bike_id": 274, "subscription_type": "Subscriber", "zip_code": 94114}, {"id": 900743, "duration": 1161, "start_date": "8/21/2015 18:13", "start_station_name": "Park at Olive", "start_station_id": 38, "end_date": "8/21/2015 18:33", "end_station_name": "Rengstorff Avenue / California Street", "end_station_id": 33, "bike_id": 243, "subscription_type": "Subscriber", "zip_code": 94040}, {"id": 900745, "duration": 246, "start_date": "8/21/2015 18:15", "start_station_name": "Broadway St at Battery St", "start_station_id": 82, "end_date": "8/21/2015 18:19", "end_station_name": "Beale at Market", "end_station_id": 56, "bike_id": 502, "subscription_type": "Subscriber", "zip_code": 94618}, {"id": 900746, "duration": 651, "start_date": "8/21/2015 18:16", "start_station_name": "Palo Alto Caltrain Station", "start_station_id": 34, "end_date": "8/21/2015 18:26", "end_station_name": "California Ave Caltrain Station", "end_station_id": 36, "bike_id": 301, "subscription_type": "Subscriber", "zip_code": 94040}, {"id": 900747, "duration": 786, "start_date": "8/21/2015 18:16", "start_station_name": "Broadway St at Battery St", "start_station_id": 82, "end_date": "8/21/2015 18:29", "end_station_name": "San Francisco Caltrain (Townsend at 4th)", "end_station_id": 70, "bike_id": 505, "subscription_type": "Subscriber", "zip_code": 95129}, {"id": 900748, "duration": 1134, "start_date": "8/21/2015 18:16", "start_station_name": "Golden Gate at Polk", "start_station_id": 59, "end_date": "8/21/2015 18:35", "end_station_name": "Embarcadero at Sansome", "end_station_id": 60, "bike_id": 547, "subscription_type": "Subscriber", "zip_code": 94133}, {"id": 900749, "duration": 780, "start_date": "8/21/2015 18:17", "start_station_name": "Harry Bridges Plaza (Ferry Building)", "start_station_id": 50, "end_date": "8/21/2015 18:30", "end_station_name": "San Francisco Caltrain 2 (330 Townsend)", "end_station_id": 69, "bike_id": 259, "subscription_type": "Subscriber", "zip_code": 94086}, {"id": 900750, "duration": 597, "start_date": "8/21/2015 18:18", "start_station_name": "Market at Sansome", "start_station_id": 77, "end_date": "8/21/2015 18:28", "end_station_name": "Grant Avenue at Columbus Avenue", "end_station_id": 73, "bike_id": 361, "subscription_type": "Subscriber", "zip_code": 94133}, {"id": 900751, "duration": 470, "start_date": "8/21/2015 18:19", "start_station_name": "San Jose Diridon Caltrain Station", "start_station_id": 2, "end_date": "8/21/2015 18:27", "end_station_name": "San Salvador at 1st", "end_station_id": 8, "bike_id": 696, "subscription_type": "Subscriber", "zip_code": 94111}, {"id": 900752, "duration": 844, "start_date": "8/21/2015 18:19", "start_station_name": "Grant Avenue at Columbus Avenue", "start_station_id": 73, "end_date": "8/21/2015 18:33", "end_station_name": "Powell at Post (Union Square)", "end_station_id": 71, "bike_id": 431, "subscription_type": "Customer", "zip_code": "nil"}, {"id": 900753, "duration": 822, "start_date": "8/21/2015 18:19", "start_station_name": "Grant Avenue at Columbus Avenue", "start_station_id": 73, "end_date": "8/21/2015 18:33", "end_station_name": "Powell at Post (Union Square)", "end_station_id": 71, "bike_id": 532, "subscription_type": "Customer", "zip_code": "nil"}, {"id": 900755, "duration": 196, "start_date": "8/21/2015 18:22", "start_station_name": "Townsend at 7th", "start_station_id": 65, "end_date": "8/21/2015 18:26", "end_station_name": "San Francisco Caltrain 2 (330 Townsend)", "end_station_id": 69, "bike_id": 56, "subscription_type": "Subscriber", "zip_code": 94107}, {"id": 900756, "duration": 329, "start_date": "8/21/2015 18:23", "start_station_name": "Beale at Market", "start_station_id": 56, "end_date": "8/21/2015 18:29", "end_station_name": "Embarcadero at Bryant", "end_station_id": 54, "bike_id": 454, "subscription_type": "Subscriber", "zip_code": 94107}, {"id": 900757, "duration": 690, "start_date": "8/21/2015 18:24", "start_station_name": "Beale at Market", "start_station_id": 56, "end_date": "8/21/2015 18:35", "end_station_name": "Market at 10th", "end_station_id": 67, "bike_id": 563, "subscription_type": "Subscriber", "zip_code": 94102}, {"id": 900758, "duration": 301, "start_date": "8/21/2015 18:24", "start_station_name": "Market at Sansome", "start_station_id": 77, "end_date": "8/21/2015 18:29", "end_station_name": "Market at 4th", "end_station_id": 76, "bike_id": 187, "subscription_type": "Subscriber", "zip_code": 94111}, {"id": 900760, "duration": 177, "start_date": "8/21/2015 18:26", "start_station_name": "5th at Howard", "start_station_id": 57, "end_date": "8/21/2015 18:29", "end_station_name": "Powell Street BART", "end_station_id": 39, "bike_id": 292, "subscription_type": "Subscriber", "zip_code": 94118}, {"id": 900761, "duration": 275, "start_date": "8/21/2015 18:27", "start_station_name": "Commercial at Montgomery", "start_station_id": 45, "end_date": "8/21/2015 18:31", "end_station_name": "Yerba Buena Center of the Arts (3rd @ Howard)", "end_station_id": 68, "bike_id": 214, "subscription_type": "Subscriber", "zip_code": 94107}, {"id": 900762, "duration": 234, "start_date": "8/21/2015 18:27", "start_station_name": "San Francisco Caltrain 2 (330 Townsend)", "start_station_id": 69, "end_date": "8/21/2015 18:31", "end_station_name": "Townsend at 7th", "end_station_id": 65, "bike_id": 355, "subscription_type": "Subscriber", "zip_code": 94107}, {"id": 900763, "duration": 1107, "start_date": "8/21/2015 18:28", "start_station_name": "San Francisco Caltrain 2 (330 Townsend)", "start_station_id": 69, "end_date": "8/21/2015 18:46", "end_station_name": "Embarcadero at Sansome", "end_station_id": 60, "bike_id": 503, "subscription_type": "Subscriber", "zip_code": 94109}, {"id": 900764, "duration": 482, "start_date": "8/21/2015 18:28", "start_station_name": "Powell Street BART", "start_station_id": 39, "end_date": "8/21/2015 18:36", "end_station_name": "South Van Ness at Market", "end_station_id": 66, "bike_id": 193, "subscription_type": "Subscriber", "zip_code": 94117}]}, "correct_code": "-- Load bike_1__trip data\ntrip = load(\"trip\")\n\nfiltered_trip = trip\n |> filter(end_station_name == \"Powell at Post (Union Square)\")\n |> select(start_date, bike_id, end_station_name, id)\n\nresult = filtered_trip\n |> sort_by(id, asc)\n |> take(10)\n\nemit result", "buggy_code": "-- Load bike_1__trip data\ntrip = load(\"trip\")\n\nfiltered_trip = trip\n |> filter(end_station_name == \"Powell at Post (Union Square\")\n |> select(start_date, bike_id, end_station_name, id)\n\nresult = filtered_trip\n |> sort_by(id, asc)\n |> take(10)\n\nemit result", "expected_output": [{"start_date": "8/21/2015 17:11", "bike_id": 266, "end_station_name": "Powell at Post (Union Square)", "id": 900543}, {"start_date": "8/21/2015 18:08", "bike_id": 448, "end_station_name": "Powell at Post (Union Square)", "id": 900734}, {"start_date": "8/21/2015 18:19", "bike_id": 431, "end_station_name": "Powell at Post (Union Square)", "id": 900752}, {"start_date": "8/21/2015 18:19", "bike_id": 532, "end_station_name": "Powell at Post (Union Square)", "id": 900753}], "bug_info": [{"category": "logic_bug", "description": "Wrong filter value: 'Powell at Post (Union Square)' \u2192 'Powell at Post (Union Square'", "line_num": 5, "original": "|> filter(end_station_name == \"Powell at Post (Union Square)\")", "mutated": "|> filter(end_station_name == \"Powell at Post (Union Square\")"}], "difficulty": "hard", "domain": "bike_1__trip", "num_nodes": 3, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_medium | {"datasets": {"customer_addresses": [{"customer_id": 5, "address_id": 6, "date_from": "2016-09-06 19:23:46", "address_type": "House", "date_to": "2018-02-25 15:34:58"}, {"customer_id": 14, "address_id": 5, "date_from": "2016-12-21 03:49:54", "address_type": "House", "date_to": "2018-03-13 21:20:21"}, {"customer_id": 2, "address_id": 2, "date_from": "2014-06-09 06:31:49", "address_type": "Flat", "date_to": "2018-03-02 21:56:40"}, {"customer_id": 10, "address_id": 6, "date_from": "2011-05-24 21:49:34", "address_type": "House", "date_to": "2018-03-18 12:45:44"}, {"customer_id": 14, "address_id": 2, "date_from": "2011-12-06 16:49:10", "address_type": "Flat", "date_to": "2018-02-24 20:18:08"}, {"customer_id": 10, "address_id": 1, "date_from": "2012-05-24 11:47:54", "address_type": "House", "date_to": "2018-03-14 20:26:33"}, {"customer_id": 7, "address_id": 3, "date_from": "2016-08-17 17:45:20", "address_type": "Flat", "date_to": "2018-03-16 14:09:24"}, {"customer_id": 4, "address_id": 9, "date_from": "2009-08-03 03:17:03", "address_type": "House", "date_to": "2018-03-15 23:45:59"}, {"customer_id": 3, "address_id": 7, "date_from": "2010-12-29 11:01:39", "address_type": "House", "date_to": "2018-03-22 02:54:10"}, {"customer_id": 12, "address_id": 6, "date_from": "2012-08-31 15:41:03", "address_type": "Flat", "date_to": "2018-03-02 23:42:49"}, {"customer_id": 12, "address_id": 11, "date_from": "2008-04-02 08:23:13", "address_type": "Apartment", "date_to": "2018-03-17 12:51:37"}, {"customer_id": 14, "address_id": 10, "date_from": "2011-08-18 09:40:49", "address_type": "House", "date_to": "2018-03-06 15:48:13"}, {"customer_id": 1, "address_id": 11, "date_from": "2014-12-20 18:58:32", "address_type": "House", "date_to": "2018-02-27 00:53:48"}, {"customer_id": 8, "address_id": 6, "date_from": "2013-05-06 00:49:45", "address_type": "Flat", "date_to": "2018-03-05 01:34:02"}, {"customer_id": 12, "address_id": 5, "date_from": "2017-11-01 10:59:35", "address_type": "Flat", "date_to": "2018-03-09 05:05:17"}], "customers": [{"customer_id": 1, "payment_method": "Visa", "customer_name": "Ron Emard", "customer_phone": "1-382-503-5179x53639", "customer_email": "shaniya45@example.net", "date_became_customer": "2011-04-25 22:20:35"}, {"customer_id": 2, "payment_method": "MasterCard", "customer_name": "Gabe Schroeder", "customer_phone": "1-728-537-4293x0885", "customer_email": "alexandra91@example.net", "date_became_customer": "2011-10-17 16:08:25"}, {"customer_id": 3, "payment_method": "Discover", "customer_name": "Candace Schneider", "customer_phone": "940.575.3682x7959", "customer_email": "tkassulke@example.com", "date_became_customer": "2012-01-11 21:17:01"}, {"customer_id": 4, "payment_method": "Visa", "customer_name": "Jaden Lang", "customer_phone": "361.151.3489x7272", "customer_email": "dedric17@example.org", "date_became_customer": "2009-12-29 17:38:10"}, {"customer_id": 5, "payment_method": "Visa", "customer_name": "Geovanni Grady", "customer_phone": "1-005-644-2495", "customer_email": "elmira.langworth@example.org", "date_became_customer": "2017-05-21 07:09:55"}, {"customer_id": 6, "payment_method": "Visa", "customer_name": "Dr. Karine Farrell", "customer_phone": "+49(2)0677806107", "customer_email": "reichel.winnifred@example.org", "date_became_customer": "2010-11-06 08:42:56"}, {"customer_id": 7, "payment_method": "Discover", "customer_name": "Emmanuel Reilly", "customer_phone": "129.959.6420", "customer_email": "gleichner.ethelyn@example.net", "date_became_customer": "2013-11-29 06:15:22"}, {"customer_id": 8, "payment_method": "MasterCard", "customer_name": "Keenan Kuhic", "customer_phone": "686-517-9923x348", "customer_email": "dallin76@example.org", "date_became_customer": "2013-04-09 18:17:05"}, {"customer_id": 9, "payment_method": "American", "customer_name": "Rusty Morar", "customer_phone": "1-123-197-9677x7194", "customer_email": "njenkins@example.org", "date_became_customer": "2015-09-09 09:29:06"}, {"customer_id": 10, "payment_method": "Visa", "customer_name": "Lila Howe", "customer_phone": "1-492-284-1097", "customer_email": "leann.hamill@example.org", "date_became_customer": "2014-02-04 04:51:58"}, {"customer_id": 11, "payment_method": "Visa", "customer_name": "Amalia Hudson DDS", "customer_phone": "003-991-1506x483", "customer_email": "danika49@example.com", "date_became_customer": "2014-02-25 19:39:51"}, {"customer_id": 12, "payment_method": "Discover", "customer_name": "Verda Streich", "customer_phone": "06730471330", "customer_email": "xgraham@example.org", "date_became_customer": "2008-10-12 12:19:27"}, {"customer_id": 13, "payment_method": "Discover", "customer_name": "Patience Yundt", "customer_phone": "969-208-8932x715", "customer_email": "kira82@example.com", "date_became_customer": "2017-03-25 18:48:04"}, {"customer_id": 14, "payment_method": "Visa", "customer_name": "Annabell Walsh", "customer_phone": "(881)096-1281x6448", "customer_email": "adriana83@example.org", "date_became_customer": "2017-06-30 19:02:11"}, {"customer_id": 15, "payment_method": "Visa", "customer_name": "Aracely Borer V", "customer_phone": "531-617-3230", "customer_email": "rollin95@example.net", "date_became_customer": "2015-09-13 22:39:50"}]}, "correct_code": "-- Load customer_deliveries__customer_addresses data\ncustomer_addresses = load(\"customer_addresses\")\n\nfiltered_customer_addresses = customer_addresses\n |> filter(date_to == \"2018-03-17 12:51:37\")\n |> select(date_from, date_to, customer_id)\n\n-- Load lookup data\ncustomers = load(\"customers\")\n |> select(customer_id, customer_phone, customer_email)\n\nenriched = join(filtered_customer_addresses, customers, on: customer_id == customer_id)\n\nresult = enriched\n |> sort_by(customer_id, asc)\n |> take(10)\n\nemit result", "buggy_code": "-- Load customer_deliveries__customer_addresses data\ncustomer_addresses = load(\"customer_addresses\")\n\nfiltered_customer_addresses = customer_addresses\n |> filter(date_to > \"2018-03-17 12:51:37\")\n |> select(date_from, date_to, customer_id)\n\n-- Load lookup data\ncustomers = load(\"customers\")\n |> select(customer_id, customer_phone, customer_email)\n\nenriched = join(filtered_customer_addresses, customers, on: customer_id == customer_id)\n\nresult = enriched\n |> sort_by(customer_id, asc)\n |> take(10)\n\nemit result", "expected_output": [{"date_from": "2008-04-02 08:23:13", "date_to": "2018-03-17 12:51:37", "customer_id": 12, "customer_phone": "06730471330", "customer_email": "xgraham@example.org"}], "bug_info": [{"category": "wrong_arg", "description": "Wrong comparison operator: '==' \u2192 '>'", "line_num": 5, "original": "|> filter(date_to == \"2018-03-17 12:51:37\")", "mutated": "|> filter(date_to > \"2018-03-17 12:51:37\")"}], "difficulty": "medium", "domain": "customer_deliveries__customer_addresses", "num_nodes": 5, "has_join": true} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_hard | {"datasets": {"residents": [{"resident_id": 6, "property_id": 954, "date_moved_in": "2017-06-17 15:43:33", "date_moved_out": "2017-12-18 03:46:04", "other_details": "Anderson Batz"}, {"resident_id": 10, "property_id": 605, "date_moved_in": "2015-03-27 12:00:00", "date_moved_out": "2018-03-17 07:48:09", "other_details": "Miss Naomie Osinski"}, {"resident_id": 23, "property_id": 879, "date_moved_in": "2015-03-27 12:00:00", "date_moved_out": "2017-11-14 06:28:48", "other_details": "Jess Wyman"}, {"resident_id": 28, "property_id": 629, "date_moved_in": "2015-03-27 12:00:00", "date_moved_out": "2017-10-05 02:47:31", "other_details": "Miss Alanis Lockman"}, {"resident_id": 37, "property_id": 669, "date_moved_in": "2015-03-27 12:00:00", "date_moved_out": "2018-01-30 10:20:59", "other_details": "Prof. Arvel Kozey"}, {"resident_id": 38, "property_id": 748, "date_moved_in": "2015-03-27 12:00:00", "date_moved_out": "2017-12-30 23:55:10", "other_details": "Chaim Swaniawski"}, {"resident_id": 43, "property_id": 108, "date_moved_in": "2015-03-27 12:00:00", "date_moved_out": "2018-02-22 06:24:15", "other_details": "Elroy Schuster"}, {"resident_id": 45, "property_id": 954, "date_moved_in": "2015-03-27 12:00:00", "date_moved_out": "2017-10-14 10:23:42", "other_details": "Prof. Nasir Hoppe"}, {"resident_id": 47, "property_id": 669, "date_moved_in": "2015-03-27 12:00:00", "date_moved_out": "2017-10-10 02:25:53", "other_details": "Tiffany Jaskolski"}, {"resident_id": 58, "property_id": 107, "date_moved_in": "2015-03-27 12:00:00", "date_moved_out": "2017-11-29 21:24:08", "other_details": "Tomasa Hoeger"}, {"resident_id": 67, "property_id": 120, "date_moved_in": "2016-09-27 12:00:00", "date_moved_out": "2017-10-23 16:40:19", "other_details": "Terrill Bernhard"}, {"resident_id": 83, "property_id": 445, "date_moved_in": "2016-09-27 12:00:00", "date_moved_out": "2018-01-19 01:35:51", "other_details": "Loy Walter"}, {"resident_id": 87, "property_id": 748, "date_moved_in": "2016-09-27 12:00:00", "date_moved_out": "2018-01-28 13:19:54", "other_details": "Mrs. Raphaelle Fisher"}, {"resident_id": 88, "property_id": 107, "date_moved_in": "2016-09-27 12:00:00", "date_moved_out": "2018-02-03 11:30:20", "other_details": "Jacques Glover II"}, {"resident_id": 90, "property_id": 373, "date_moved_in": "2016-09-27 12:00:00", "date_moved_out": "2017-11-19 03:11:44", "other_details": "Cassie Johnson"}], "customer_events": [{"customer_event_id": 70, "customer_id": 19, "date_moved_in": "2015-03-27 12:00:00", "property_id": 605, "resident_id": 10, "thing_id": 1}, {"customer_event_id": 160, "customer_id": 5, "date_moved_in": "2015-03-27 12:00:00", "property_id": 879, "resident_id": 23, "thing_id": 80}, {"customer_event_id": 166, "customer_id": 16, "date_moved_in": "2015-03-27 12:00:00", "property_id": 629, "resident_id": 28, "thing_id": 14}, {"customer_event_id": 216, "customer_id": 79, "date_moved_in": "2015-03-27 12:00:00", "property_id": 669, "resident_id": 37, "thing_id": 46}, {"customer_event_id": 226, "customer_id": 19, "date_moved_in": "2015-03-27 12:00:00", "property_id": 748, "resident_id": 38, "thing_id": 80}, {"customer_event_id": 256, "customer_id": 79, "date_moved_in": "2015-03-27 12:00:00", "property_id": 108, "resident_id": 43, "thing_id": 2}, {"customer_event_id": 428, "customer_id": 63, "date_moved_in": "2015-03-27 12:00:00", "property_id": 954, "resident_id": 45, "thing_id": 68}, {"customer_event_id": 530, "customer_id": 4, "date_moved_in": "2015-03-27 12:00:00", "property_id": 669, "resident_id": 47, "thing_id": 10}, {"customer_event_id": 559, "customer_id": 19, "date_moved_in": "2015-03-27 12:00:00", "property_id": 107, "resident_id": 58, "thing_id": 1}, {"customer_event_id": 591, "customer_id": 91, "date_moved_in": "2016-09-27 12:00:00", "property_id": 120, "resident_id": 67, "thing_id": 10}, {"customer_event_id": 606, "customer_id": 31, "date_moved_in": "2016-09-27 12:00:00", "property_id": 445, "resident_id": 83, "thing_id": 85}, {"customer_event_id": 627, "customer_id": 91, "date_moved_in": "2016-09-27 12:00:00", "property_id": 748, "resident_id": 87, "thing_id": 92}, {"customer_event_id": 817, "customer_id": 19, "date_moved_in": "2016-09-27 12:00:00", "property_id": 107, "resident_id": 88, "thing_id": 10}]}, "correct_code": "-- Load local_govt_and_lot__residents data\nresidents = load(\"residents\")\n\nfiltered_residents = residents\n |> filter(date_moved_in == \"2015-03-27 12:00:00\")\n |> select(resident_id, date_moved_in, property_id)\n\nresult = filtered_residents\n |> sort_by(property_id, desc)\n |> take(3)\n\nemit result", "buggy_code": "-- Load local_govt_and_lot__residents data\nresidents = load(\"residents\")\n\nfiltered_residents = residents\n |> filter(date_moved_in == \"2015-03-27 12:00:0\")\n |> select(resident_id, date_moved_in, property_id)\n\nresult = filtered_residents\n |> sort_by(property_id, desc)\n |> take(3)\n\nemit result", "expected_output": [{"resident_id": 45, "date_moved_in": "2015-03-27 12:00:00", "property_id": 954}, {"resident_id": 23, "date_moved_in": "2015-03-27 12:00:00", "property_id": 879}, {"resident_id": 38, "date_moved_in": "2015-03-27 12:00:00", "property_id": 748}], "bug_info": [{"category": "logic_bug", "description": "Wrong filter value: '2015-03-27 12:00:00' \u2192 '2015-03-27 12:00:0'", "line_num": 5, "original": "|> filter(date_moved_in == \"2015-03-27 12:00:00\")", "mutated": "|> filter(date_moved_in == \"2015-03-27 12:00:0\")"}], "difficulty": "hard", "domain": "local_govt_and_lot__residents", "num_nodes": 3, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_hard | {"datasets": {"advisor": [{"s_id": "24746", "i_id": "19368"}, {"s_id": "79352", "i_id": "95030"}, {"s_id": "76672", "i_id": "22591"}, {"s_id": "14182", "i_id": "77346"}, {"s_id": "44985", "i_id": "31955"}, {"s_id": "96052", "i_id": "73623"}, {"s_id": "35175", "i_id": "90643"}, {"s_id": "44271", "i_id": "58558"}, {"s_id": "40897", "i_id": "73623"}, {"s_id": "92839", "i_id": "25946"}, {"s_id": "79329", "i_id": "58558"}, {"s_id": "97101", "i_id": "48570"}, {"s_id": "24865", "i_id": "6569"}, {"s_id": "36052", "i_id": "31955"}, {"s_id": "98940", "i_id": "99052"}, {"s_id": "21395", "i_id": "58558"}, {"s_id": "55859", "i_id": "28097"}, {"s_id": "74016", "i_id": "74420"}, {"s_id": "93061", "i_id": "64871"}, {"s_id": "94998", "i_id": "50330"}, {"s_id": "30772", "i_id": "57180"}, {"s_id": "1968", "i_id": "3335"}, {"s_id": "90567", "i_id": "48507"}, {"s_id": "49611", "i_id": "58558"}, {"s_id": "81538", "i_id": "59795"}, {"s_id": "68999", "i_id": "6569"}, {"s_id": "74639", "i_id": "41930"}, {"s_id": "66054", "i_id": "25946"}, {"s_id": "792", "i_id": "48507"}, {"s_id": "60267", "i_id": "81991"}, {"s_id": "17769", "i_id": "36897"}, {"s_id": "39580", "i_id": "3199"}, {"s_id": "89106", "i_id": "15347"}, {"s_id": "37856", "i_id": "25946"}, {"s_id": "58307", "i_id": "48507"}, {"s_id": "57985", "i_id": "52647"}, {"s_id": "72014", "i_id": "22591"}, {"s_id": "2795", "i_id": "28400"}, {"s_id": "89000", "i_id": "58558"}, {"s_id": "46442", "i_id": "48570"}, {"s_id": "60040", "i_id": "15347"}, {"s_id": "19791", "i_id": "59795"}, {"s_id": "4582", "i_id": "64871"}, {"s_id": "108", "i_id": "77346"}, {"s_id": "1533", "i_id": "50885"}, {"s_id": "7123", "i_id": "65931"}, {"s_id": "44584", "i_id": "64871"}, {"s_id": "32954", "i_id": "90376"}, {"s_id": "98056", "i_id": "73623"}, {"s_id": "76953", "i_id": "79081"}, {"s_id": "81884", "i_id": "3199"}, {"s_id": "22057", "i_id": "48507"}, {"s_id": "21126", "i_id": "52647"}, {"s_id": "82918", "i_id": "81991"}, {"s_id": "4173", "i_id": "25946"}, {"s_id": "83022", "i_id": "64871"}, {"s_id": "25525", "i_id": "96895"}, {"s_id": "75040", "i_id": "80759"}, {"s_id": "31624", "i_id": "41930"}, {"s_id": "64893", "i_id": "96895"}, {"s_id": "59920", "i_id": "72553"}, {"s_id": "38602", "i_id": "77346"}, {"s_id": "21401", "i_id": "79081"}, {"s_id": "93004", "i_id": "15347"}, {"s_id": "38899", "i_id": "37687"}, {"s_id": "75241", "i_id": "28097"}, {"s_id": "98830", "i_id": "80759"}, {"s_id": "37101", "i_id": "80759"}, {"s_id": "4508", "i_id": "28097"}, {"s_id": "32130", "i_id": "16807"}, {"s_id": "56755", "i_id": "79653"}, {"s_id": "11510", "i_id": "95709"}, {"s_id": "3335", "i_id": "74420"}, {"s_id": "61081", "i_id": "80759"}, {"s_id": "33651", "i_id": "96895"}, {"s_id": "8251", "i_id": "73623"}, {"s_id": "10705", "i_id": "6569"}, {"s_id": "64082", "i_id": "74426"}, {"s_id": "59517", "i_id": "34175"}, {"s_id": "91569", "i_id": "14365"}, {"s_id": "88085", "i_id": "28400"}, {"s_id": "96722", "i_id": "58558"}, {"s_id": "36379", "i_id": "42782"}, {"s_id": "69581", "i_id": "25946"}, {"s_id": "65329", "i_id": "3335"}, {"s_id": "49214", "i_id": "4034"}, {"s_id": "64155", "i_id": "36897"}, {"s_id": "58594", "i_id": "74420"}, {"s_id": "71904", "i_id": "95030"}, {"s_id": "69241", "i_id": "72553"}, {"s_id": "58889", "i_id": "3335"}, {"s_id": "30341", "i_id": "79081"}, {"s_id": "70688", "i_id": "97302"}, {"s_id": "81258", "i_id": "58558"}, {"s_id": "63090", "i_id": "25946"}, {"s_id": "70572", "i_id": "35579"}, {"s_id": "58413", "i_id": "28400"}, {"s_id": "93171", "i_id": "6569"}, {"s_id": "35138", "i_id": "41930"}, {"s_id": "77289", "i_id": "59795"}, {"s_id": "93571", "i_id": "57180"}, {"s_id": "14554", "i_id": "22591"}, {"s_id": "46725", "i_id": "90376"}, {"s_id": "99730", "i_id": "3199"}, {"s_id": "10527", "i_id": "36897"}, {"s_id": "898", "i_id": "22591"}, {"s_id": "64297", "i_id": "43779"}, {"s_id": "10204", "i_id": "65931"}, {"s_id": "36926", "i_id": "43779"}, {"s_id": "49618", "i_id": "74426"}, {"s_id": "34329", "i_id": "81991"}, {"s_id": "84410", "i_id": "81991"}, {"s_id": "29435", "i_id": "77346"}, {"s_id": "62636", "i_id": "79081"}, {"s_id": "8483", "i_id": "74426"}, {"s_id": "2177", "i_id": "50330"}, {"s_id": "43348", "i_id": "81991"}, {"s_id": "37430", "i_id": "41930"}, {"s_id": "37586", "i_id": "81991"}, {"s_id": "55238", "i_id": "35579"}, {"s_id": "34404", "i_id": "74426"}, {"s_id": "59539", "i_id": "28400"}, {"s_id": "43123", "i_id": "95030"}, {"s_id": "19582", "i_id": "96895"}, {"s_id": "88553", "i_id": "31955"}, {"s_id": "5898", "i_id": "34175"}, {"s_id": "2419", "i_id": "73623"}, {"s_id": "31516", "i_id": "95030"}, {"s_id": "3487", "i_id": "4034"}, {"s_id": "66269", "i_id": "58558"}, {"s_id": "54622", "i_id": "4034"}, {"s_id": "19638", "i_id": "4034"}, {"s_id": "88418", "i_id": "57180"}, {"s_id": "86802", "i_id": "35579"}, {"s_id": "63361", "i_id": "90643"}, {"s_id": "6367", "i_id": "14365"}, {"s_id": "84239", "i_id": "22591"}, {"s_id": "4940", "i_id": "15347"}, {"s_id": "90663", "i_id": "77346"}, {"s_id": "38476", "i_id": "95030"}, {"s_id": "96003", "i_id": "3335"}, {"s_id": "64914", "i_id": "14365"}, {"s_id": "41599", "i_id": "48507"}, {"s_id": "22226", "i_id": "64871"}, {"s_id": "96153", "i_id": "28097"}, {"s_id": "44998", "i_id": "36897"}, {"s_id": "74163", "i_id": "80759"}, {"s_id": "75046", "i_id": "16807"}, {"s_id": "97679", "i_id": "43779"}, {"s_id": "94894", "i_id": "78699"}, {"s_id": "44881", "i_id": "22591"}, {"s_id": "98619", "i_id": "77346"}, {"s_id": "86753", "i_id": "22591"}, {"s_id": "87054", "i_id": "35579"}, {"s_id": "39046", "i_id": "19368"}, {"s_id": "29031", "i_id": "78699"}, {"s_id": "97355", "i_id": "28400"}, {"s_id": "24010", "i_id": "80759"}, {"s_id": "21789", "i_id": "63395"}, {"s_id": "52157", "i_id": "65931"}, {"s_id": "64938", "i_id": "52647"}, {"s_id": "94535", "i_id": "50885"}, {"s_id": "58595", "i_id": "31955"}, {"s_id": 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Sci.", "salary": 124651.41}, {"id": "99052", "name": "Dale", "dept_name": "Cybernetics", "salary": 93348.83}]}, "correct_code": "-- Load college_2__advisor data\nadvisor = load(\"advisor\")\n\nfiltered_advisor = advisor\n |> filter(i_id == \"65931\")\n\n-- Load lookup data\ninstructor = load(\"instructor\")\n |> select(id, salary, dept_name)\n\nenriched = join(filtered_advisor, instructor, on: i_id == id)\n\nemit enriched", "buggy_code": "-- Load college_2__advisor data\nadvisor = load(\"advisor\")\n\nfiltered_advisor = advisor\n |> filter(i_id == \"6593\")\n\n-- Load lookup data\ninstructor = load(\"instructor\")\n |> select(id, salary, dept_name)\n\nenriched = join(filtered_advisor, instructor, on: i_id == id)\n\nemit enriched", "expected_output": [{"s_id": "7123", "i_id": "65931", "id": "65931", "salary": 79866.95, "dept_name": "Cybernetics"}, {"s_id": "10204", "i_id": "65931", "id": "65931", "salary": 79866.95, "dept_name": "Cybernetics"}, {"s_id": "52157", "i_id": "65931", "id": "65931", "salary": 79866.95, "dept_name": "Cybernetics"}, {"s_id": "41965", "i_id": "65931", "id": "65931", "salary": 79866.95, "dept_name": "Cybernetics"}], "bug_info": [{"category": "logic_bug", "description": "Wrong filter value: '65931' \u2192 '6593'", "line_num": 5, "original": "|> filter(i_id == \"65931\")", "mutated": "|> filter(i_id == \"6593\")"}], "difficulty": "hard", "domain": "college_2__advisor", "num_nodes": 4, "has_join": true} |
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"jbw", "name": "JBW", "nationality": "British", "url": "http://en.wikipedia.org/wiki/JBW"}, {"constructorid": 102, "constructorref": "ferguson", "name": "Ferguson", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Ferguson_Research_Ltd."}, {"constructorid": 103, "constructorref": "mbm", "name": "MBM", "nationality": "Swiss", "url": "http://en.wikipedia.org/wiki/Monteverdi_Basel_Motors"}, {"constructorid": 104, "constructorref": "behra-porsche", "name": "Behra-Porsche", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/Behra-Porsche"}, {"constructorid": 105, "constructorref": "maserati", "name": "Maserati", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/Maserati"}, {"constructorid": 106, "constructorref": "scarab", "name": "Scarab", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Scarab_(constructor)"}, {"constructorid": 107, "constructorref": "watson", "name": "Watson", "nationality": "American", "url": "http://en.wikipedia.org/wiki/A.J._Watson"}, {"constructorid": 108, "constructorref": "epperly", "name": "Epperly", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Epperly"}, {"constructorid": 109, "constructorref": "phillips", "name": "Phillips", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Phillips_(constructor)"}, {"constructorid": 110, "constructorref": "lesovsky", "name": "Lesovsky", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Lesovsky"}, {"constructorid": 111, "constructorref": "trevis", "name": "Trevis", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Trevis"}, {"constructorid": 112, "constructorref": "meskowski", "name": "Meskowski", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Meskowski"}, {"constructorid": 113, "constructorref": "kurtis_kraft", "name": "Kurtis Kraft", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Kurtis_Kraft"}, {"constructorid": 114, "constructorref": "kuzma", "name": "Kuzma", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Kuzma_(constructor)"}, {"constructorid": 115, "constructorref": "vhristensen", "name": "Christensen", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Christensen_(constructor)"}, {"constructorid": 116, "constructorref": "ewing", "name": "Ewing", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Ewing_(constructor)"}, {"constructorid": 117, "constructorref": "aston_martin", "name": "Aston Martin", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Aston_Martin"}, {"constructorid": 118, "constructorref": "vanwall", "name": "Vanwall", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Vanwall"}, {"constructorid": 119, "constructorref": "moore", "name": "Moore", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Moore_(constructor)"}, {"constructorid": 120, "constructorref": "dunn", "name": "Dunn", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Dunn_Engineering"}, {"constructorid": 121, "constructorref": "elder", "name": "Elder", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Elder_(constructor)"}, {"constructorid": 122, "constructorref": "sutton", "name": "Sutton", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Sutton_(constructor)"}, {"constructorid": 123, "constructorref": "fry", "name": "Fry", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Fry_(racing_team)"}, {"constructorid": 124, "constructorref": "tec-mec", "name": "Tec-Mec", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/Tec-Mec"}, {"constructorid": 125, "constructorref": "connaught", "name": "Connaught", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Connaught_Engineering"}, {"constructorid": 126, "constructorref": "alta", "name": "Alta", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Alta_auto_racing_team"}, {"constructorid": 127, "constructorref": "osca", "name": "OSCA", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/Officine_Specializate_Costruzione_Automobili"}, {"constructorid": 128, "constructorref": "gordini", "name": "Gordini", "nationality": "French", "url": "http://en.wikipedia.org/wiki/Gordini"}, {"constructorid": 129, "constructorref": "stevens", "name": "Stevens", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Stevens_(constructor)"}, {"constructorid": 130, "constructorref": "bugatti", "name": "Bugatti", "nationality": "French", "url": "http://en.wikipedia.org/wiki/Bugatti"}, {"constructorid": 131, "constructorref": "mercedes", "name": "Mercedes", "nationality": "German", "url": "http://en.wikipedia.org/wiki/Mercedes-Benz_in_Formula_One"}, {"constructorid": 132, "constructorref": "lancia", "name": "Lancia", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/Lancia_in_Formula_One"}, {"constructorid": 133, "constructorref": "hwm", "name": "HWM", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Hersham_and_Walton_Motors"}, {"constructorid": 134, "constructorref": "schroeder", "name": "Schroeder", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Schroeder_(constructor)"}, {"constructorid": 135, "constructorref": "pawl", "name": "Pawl", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Pawl_(constructor)"}, {"constructorid": 136, "constructorref": "pankratz", "name": "Pankratz", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Pankratz"}, {"constructorid": 137, "constructorref": "arzani-volpini", "name": "Arzani-Volpini", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/Arzani-Volpini"}, {"constructorid": 138, "constructorref": "nichels", "name": "Nichels", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Nichels"}, {"constructorid": 139, "constructorref": "bromme", "name": "Bromme", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Bromme"}, {"constructorid": 140, "constructorref": "klenk", "name": "Klenk", "nationality": "German", "url": "http://en.wikipedia.org/wiki/Klenk"}, {"constructorid": 141, "constructorref": "simca", "name": "Simca", "nationality": "French", "url": "http://en.wikipedia.org/wiki/Simca"}, {"constructorid": 142, "constructorref": "turner", "name": "Turner", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Turner_(constructor)"}, {"constructorid": 143, "constructorref": "del_roy", "name": "Del Roy", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Del_Roy"}, {"constructorid": 144, "constructorref": "veritas", "name": "Veritas", "nationality": "German", "url": "http://en.wikipedia.org/wiki/Veritas_(constructor)"}, {"constructorid": 145, "constructorref": "bmw", "name": "BMW", "nationality": "German", "url": "http://en.wikipedia.org/wiki/BMW"}, {"constructorid": 146, "constructorref": "emw", "name": "EMW", "nationality": "East German", "url": "http://en.wikipedia.org/wiki/Eisenacher_Motorenwerk"}, {"constructorid": 147, "constructorref": "afm", "name": "AFM", "nationality": "German", "url": "http://en.wikipedia.org/wiki/Alex_von_Falkenhausen_Motorenbau"}, {"constructorid": 148, "constructorref": "frazer_nash", "name": "Frazer Nash", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Frazer_Nash"}, {"constructorid": 149, "constructorref": "sherman", "name": "Sherman", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Sherman_(constructor)"}, {"constructorid": 150, "constructorref": "deidt", "name": "Deidt", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Deidt"}, {"constructorid": 151, "constructorref": "era", "name": "ERA", "nationality": "British", "url": "http://en.wikipedia.org/wiki/English_Racing_Automobiles"}, {"constructorid": 152, "constructorref": "butterworth", "name": "Aston Butterworth", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Aston_Butterworth"}, {"constructorid": 153, "constructorref": "cisitalia", "name": "Cisitalia", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/Cisitalia"}, {"constructorid": 154, "constructorref": "lago", "name": "Talbot-Lago", "nationality": "French", "url": "http://en.wikipedia.org/wiki/Talbot-Lago"}, {"constructorid": 155, "constructorref": "hall", "name": "Hall", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Hall_(constructor)"}, {"constructorid": 156, "constructorref": "marchese", "name": "Marchese", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Marchese_(constructor)"}, {"constructorid": 157, "constructorref": "langley", "name": "Langley", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Langley_(constructor)"}, {"constructorid": 158, "constructorref": "rae", "name": "Rae", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Rae_(motorsport)"}, {"constructorid": 159, "constructorref": "olson", "name": "Olson", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Olson_(constructor)"}, {"constructorid": 160, "constructorref": "wetteroth", "name": "Wetteroth", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Wetteroth"}, {"constructorid": 161, "constructorref": "adams", "name": "Adams", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Adams_(constructor)"}, {"constructorid": 162, "constructorref": "snowberger", "name": "Snowberger", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Snowberger"}, {"constructorid": 163, "constructorref": "milano", "name": "Milano", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/Scuderia_Milano"}, {"constructorid": 164, "constructorref": "hrt", "name": "HRT", "nationality": "Spanish", "url": "http://en.wikipedia.org/wiki/Hispania_Racing"}, {"constructorid": 166, "constructorref": "virgin", "name": "Virgin", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Virgin_Racing"}, {"constructorid": 167, "constructorref": "cooper-maserati", "name": "Cooper-Maserati", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 168, "constructorref": "cooper-osca", "name": "Cooper-OSCA", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 169, "constructorref": "cooper-borgward", "name": "Cooper-Borgward", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 170, "constructorref": "cooper-climax", "name": "Cooper-Climax", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 171, "constructorref": "cooper-castellotti", "name": "Cooper-Castellotti", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 172, "constructorref": "lotus-climax", "name": "Lotus-Climax", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_Lotus"}, {"constructorid": 173, "constructorref": "lotus-maserati", "name": "Lotus-Maserati", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_Lotus"}, {"constructorid": 174, "constructorref": "de_tomaso-osca", "name": "De Tomaso-Osca", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/De_Tomaso"}, {"constructorid": 175, "constructorref": "de_tomaso-alfa_romeo", "name": "De Tomaso-Alfa Romeo", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/De_Tomaso"}, {"constructorid": 176, "constructorref": "lotus-brm", "name": "Lotus-BRM", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_Lotus"}, {"constructorid": 177, "constructorref": "lotus-borgward", "name": "Lotus-Borgward", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_Lotus"}, {"constructorid": 178, "constructorref": "cooper-alfa_romeo", "name": "Cooper-Alfa Romeo", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 179, "constructorref": "de_tomaso-ferrari", "name": "De Tomaso-Ferrari", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/De_Tomaso"}, {"constructorid": 180, "constructorref": "lotus-ford", "name": "Lotus-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_Lotus"}, {"constructorid": 181, "constructorref": "brabham-brm", "name": "Brabham-BRM", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Brabham"}, {"constructorid": 182, "constructorref": "brabham-ford", "name": "Brabham-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Brabham"}, {"constructorid": 183, "constructorref": "brabham-climax", "name": "Brabham-Climax", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Brabham"}, {"constructorid": 184, "constructorref": "lds-climax", "name": "LDS-Climax", "nationality": "South African", "url": "http://en.wikipedia.org/wiki/LDS_(automobile)"}, {"constructorid": 185, "constructorref": "lds-alfa_romeo", "name": "LDS-Alfa Romeo", "nationality": "South African", "url": "http://en.wikipedia.org/wiki/LDS_(automobile)"}, {"constructorid": 186, "constructorref": "cooper-ford", "name": "Cooper-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 187, "constructorref": "mclaren-ford", "name": "McLaren-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_McLaren"}, {"constructorid": 188, "constructorref": "mclaren-seren", "name": "McLaren-Serenissima", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_McLaren"}, {"constructorid": 189, "constructorref": "eagle-climax", "name": "Eagle-Climax", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Anglo_American_Racers"}, {"constructorid": 190, "constructorref": "eagle-weslake", "name": "Eagle-Weslake", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Anglo_American_Racers"}, {"constructorid": 191, "constructorref": "brabham-repco", "name": "Brabham-Repco", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Brabham"}, {"constructorid": 192, "constructorref": "cooper-ferrari", "name": "Cooper-Ferrari", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 193, "constructorref": "cooper-ats", "name": "Cooper-ATS", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 194, "constructorref": "mclaren-brm", "name": "McLaren-BRM", "nationality": "British", "url": "http://en.wikipedia.org/wiki/McLaren_(racing)"}, {"constructorid": 195, "constructorref": "cooper-brm", "name": "Cooper-BRM", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 196, "constructorref": "matra-ford", "name": "Matra-Ford", "nationality": "French", "url": "http://en.wikipedia.org/wiki/Matra"}, {"constructorid": 197, "constructorref": "brm-ford", "name": "BRM-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/BRM"}, {"constructorid": 198, "constructorref": "mclaren-alfa_romeo", "name": "McLaren-Alfa Romeo", "nationality": "British", "url": "http://en.wikipedia.org/wiki/McLaren_(racing)"}, {"constructorid": 199, "constructorref": "march-alfa_romeo", "name": "March-Alfa Romeo", "nationality": "British", "url": "http://en.wikipedia.org/wiki/March_Engineering"}, {"constructorid": 200, "constructorref": "march-ford", "name": "March-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/March_Engineering"}, {"constructorid": 201, "constructorref": "lotus-pw", "name": "Lotus-Pratt & Whitney", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_Lotus"}, {"constructorid": 202, "constructorref": "shadow-ford", "name": "Shadow-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Shadow_Racing_Cars"}]}, "correct_code": "-- Load formula_1__constructorresults data\nconstructorresults = load(\"constructorresults\")\n\nsummary = constructorresults\n |> group_by(status)\n |> aggregate(min_constructorid: min(constructorid), count: count())\n\nresult = summary\n |> sort_by(count, asc)\n |> take(10)\n\nemit result", "buggy_code": "-- Load formula_1__constructorresults data\nconstructorresults = load(\"constructorresults\")\n\nsummary = constructorresults\n |> group_by(status)\n |> aggregate(min_constructorid: avg(constructorid), count: count())\n\nresult = summary\n |> sort_by(count, asc)\n |> take(10)\n\nemit result", "expected_output": [{"status": "D", "min_constructorid": 1, "count": 2}, {"status": "NULL", "min_constructorid": 1, "count": 198}], "bug_info": [{"category": "wrong_arg", "description": "Wrong aggregate function: 'min' \u2192 'avg'", "line_num": 6, "original": "|> aggregate(min_constructorid: min(constructorid), count: count())", "mutated": "|> aggregate(min_constructorid: avg(constructorid), count: count())"}], "difficulty": "medium", "domain": "formula_1__constructorresults", "num_nodes": 3, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_medium | {"datasets": {"treatments": [{"treatment_id": 1, "dog_id": 14, "professional_id": 9, "treatment_type_code": "WALK", "date_of_treatment": "2018-03-19 04:39:54", "cost_of_treatment": 567}, {"treatment_id": 2, "dog_id": 4, "professional_id": 10, "treatment_type_code": "VAC", "date_of_treatment": "2018-03-15 20:25:34", "cost_of_treatment": 147}, {"treatment_id": 3, "dog_id": 14, "professional_id": 4, "treatment_type_code": "EXAM", "date_of_treatment": "2018-03-08 05:26:23", "cost_of_treatment": 429}, {"treatment_id": 4, "dog_id": 2, "professional_id": 8, "treatment_type_code": "VAC", "date_of_treatment": "2018-03-01 04:14:46", "cost_of_treatment": 266}, {"treatment_id": 5, "dog_id": 12, "professional_id": 14, "treatment_type_code": "VAC", "date_of_treatment": "2018-03-23 13:52:10", "cost_of_treatment": 668}, {"treatment_id": 6, "dog_id": 10, "professional_id": 4, "treatment_type_code": "EXAM", "date_of_treatment": "2018-03-11 04:23:15", "cost_of_treatment": 313}, {"treatment_id": 7, "dog_id": 15, "professional_id": 14, "treatment_type_code": "EXAM", "date_of_treatment": "2018-03-10 11:45:58", "cost_of_treatment": 852}, {"treatment_id": 8, "dog_id": 2, "professional_id": 6, "treatment_type_code": "EXAM", "date_of_treatment": "2018-03-24 22:25:58", "cost_of_treatment": 407}, {"treatment_id": 9, "dog_id": 14, "professional_id": 10, "treatment_type_code": "WALK", "date_of_treatment": "2018-03-14 19:10:40", "cost_of_treatment": 139}, {"treatment_id": 10, "dog_id": 10, "professional_id": 7, "treatment_type_code": "WALK", "date_of_treatment": "2018-02-28 17:09:43", "cost_of_treatment": 681}, {"treatment_id": 11, "dog_id": 15, "professional_id": 5, "treatment_type_code": "VAC", "date_of_treatment": "2018-03-13 12:22:58", "cost_of_treatment": 514}, {"treatment_id": 12, "dog_id": 13, "professional_id": 9, "treatment_type_code": "EXAM", "date_of_treatment": "2018-03-16 10:27:36", "cost_of_treatment": 428}, {"treatment_id": 13, "dog_id": 7, "professional_id": 8, "treatment_type_code": "VAC", "date_of_treatment": "2018-02-26 09:08:53", "cost_of_treatment": 945}, {"treatment_id": 14, "dog_id": 10, "professional_id": 9, "treatment_type_code": "WALK", "date_of_treatment": "2018-03-04 20:33:43", "cost_of_treatment": 349}, {"treatment_id": 15, "dog_id": 1, "professional_id": 6, "treatment_type_code": "WALK", "date_of_treatment": "2018-03-15 19:10:02", "cost_of_treatment": 656}], "treatment_types": [{"treatment_type_code": "EXAM", "treatment_type_description": "Physical examination"}, {"treatment_type_code": "VAC", "treatment_type_description": "Vaccination"}, {"treatment_type_code": "WALK", "treatment_type_description": "Take for a Walk"}]}, "correct_code": "-- Load dog_kennels__treatments data\ntreatments = load(\"treatments\")\n\nfiltered_treatments = treatments\n |> filter(cost_of_treatment >= 541)\n\nsummary = filtered_treatments\n |> group_by(treatment_type_code)\n |> aggregate(total_cost_of_treatment: sum(cost_of_treatment), count: count())\n |> compute(computed_val: count / total_cost_of_treatment)\n\nresult = summary\n |> sort_by(total_cost_of_treatment, desc)\n |> take(3)\n\nemit result", "buggy_code": "-- Load dog_kennels__treatments data\ntreatments = load(\"treatments\")\n\nfiltered_treatments = treatments\n |> filter(cost_of_treatment >= computed_val)\n\nsummary = filtered_treatments\n |> group_by(treatment_type_code)\n |> aggregate(total_cost_of_treatment: min(cost_of_treatment), count: count())\n |> compute(computed_val: count / total_cost_of_treatment)\n\nresult = summary\n |> sort_by(total_cost_of_treatment, desc)\n |> take(3)\n\nemit result", "expected_output": [{"treatment_type_code": "WALK", "total_cost_of_treatment": 1904, "count": 3, "computed_val": 0.0015756302521008404}, {"treatment_type_code": "VAC", "total_cost_of_treatment": 1613, "count": 2, "computed_val": 0.0012399256044637321}, {"treatment_type_code": "EXAM", "total_cost_of_treatment": 852, "count": 1, "computed_val": 0.0011737089201877935}], "bug_info": [{"category": "wrong_col", "description": "Wrong column reference: '541' \u2192 'computed_val'", "line_num": 5, "original": "|> filter(cost_of_treatment >= 541)", "mutated": "|> filter(cost_of_treatment >= computed_val)"}, {"category": "wrong_arg", "description": "Wrong aggregate function: 'sum' \u2192 'min'", "line_num": 9, "original": "|> aggregate(total_cost_of_treatment: sum(cost_of_treatment), count: count())", "mutated": "|> aggregate(total_cost_of_treatment: min(cost_of_treatment), count: count())"}], "difficulty": "medium", "domain": "dog_kennels__treatments", "num_nodes": 4, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_medium | {"datasets": {"section": [{"course_id": "313", "sec_id": "1", "semester": "Fall", "year": 2010, "building": "Chandler", "room_number": "804", "time_slot_id": "N"}, {"course_id": "747", "sec_id": "1", "semester": "Spring", "year": 2004, "building": "Gates", "room_number": "314", "time_slot_id": "K"}, {"course_id": "443", "sec_id": "1", "semester": "Spring", "year": 2010, "building": "Whitman", "room_number": "434", "time_slot_id": "O"}, {"course_id": "893", "sec_id": "1", "semester": "Fall", "year": 2007, "building": "Fairchild", "room_number": "145", "time_slot_id": "B"}, {"course_id": "663", "sec_id": "1", "semester": "Spring", "year": 2005, "building": "Fairchild", "room_number": "145", "time_slot_id": "D"}, {"course_id": "457", "sec_id": "1", "semester": "Spring", "year": 2001, "building": "Saucon", "room_number": "844", "time_slot_id": "D"}, {"course_id": "445", "sec_id": "1", "semester": "Spring", "year": 2001, "building": "Alumni", "room_number": "547", "time_slot_id": "J"}, {"course_id": "559", "sec_id": "1", "semester": "Fall", "year": 2002, "building": "Lamberton", "room_number": "134", "time_slot_id": "J"}, {"course_id": "239", "sec_id": "1", "semester": "Fall", "year": 2006, "building": "Taylor", "room_number": "183", "time_slot_id": "C"}, {"course_id": "802", "sec_id": "1", "semester": "Spring", "year": 2003, "building": "Saucon", "room_number": "113", "time_slot_id": "J"}, {"course_id": "158", "sec_id": "1", "semester": "Fall", "year": 2008, "building": "Whitman", "room_number": "434", "time_slot_id": "F"}, {"course_id": "735", "sec_id": "1", "semester": "Spring", "year": 2003, "building": "Drown", "room_number": "757", "time_slot_id": "D"}, {"course_id": "237", "sec_id": "1", "semester": "Spring", "year": 2008, "building": "Power", "room_number": "717", "time_slot_id": "D"}, {"course_id": "338", "sec_id": "1", "semester": "Spring", "year": 2007, "building": "Fairchild", "room_number": "145", "time_slot_id": "G"}, {"course_id": "376", "sec_id": "1", "semester": "Fall", "year": 2006, "building": "Power", "room_number": "717", "time_slot_id": "K"}, {"course_id": "927", "sec_id": "1", "semester": "Fall", "year": 2002, "building": "Saucon", "room_number": "180", "time_slot_id": "F"}, {"course_id": "692", "sec_id": "1", "semester": "Spring", "year": 2010, "building": "Taylor", "room_number": "183", "time_slot_id": "I"}, {"course_id": "867", "sec_id": "1", "semester": "Fall", "year": 2006, "building": "Taylor", "room_number": "183", "time_slot_id": "E"}, {"course_id": "561", "sec_id": "1", "semester": "Fall", "year": 2006, "building": "Main", "room_number": "45", "time_slot_id": "L"}, {"course_id": "604", "sec_id": "1", "semester": "Spring", "year": 2009, "building": "Bronfman", "room_number": "700", "time_slot_id": "N"}, {"course_id": "974", "sec_id": "1", "semester": "Fall", "year": 2003, "building": "Polya", "room_number": "808", "time_slot_id": "H"}, {"course_id": "959", "sec_id": "1", "semester": "Fall", "year": 2006, "building": "Saucon", "room_number": "180", "time_slot_id": "M"}, {"course_id": "702", "sec_id": "1", "semester": "Spring", "year": 2001, "building": "Saucon", "room_number": "113", "time_slot_id": "O"}, {"course_id": "631", "sec_id": "1", "semester": "Spring", "year": 2007, "building": "Taylor", "room_number": "183", "time_slot_id": "E"}, {"course_id": "334", "sec_id": "1", "semester": "Fall", "year": 2009, "building": "Taylor", "room_number": "812", "time_slot_id": "O"}, {"course_id": "274", "sec_id": "1", "semester": "Fall", "year": 2002, "building": "Main", "room_number": "425", "time_slot_id": "N"}, {"course_id": "366", "sec_id": "1", "semester": "Fall", "year": 2005, "building": "Saucon", "room_number": "844", "time_slot_id": "O"}, {"course_id": "545", "sec_id": "1", "semester": "Fall", "year": 2001, "building": "Saucon", "room_number": "180", "time_slot_id": "P"}, {"course_id": "486", "sec_id": "1", "semester": "Fall", "year": 2009, "building": "Whitman", "room_number": "134", "time_slot_id": "K"}, {"course_id": "426", "sec_id": "1", "semester": "Spring", "year": 2006, "building": "Lamberton", "room_number": "134", "time_slot_id": "G"}, {"course_id": "258", "sec_id": "1", "semester": "Fall", "year": 2007, "building": "Main", "room_number": "45", "time_slot_id": "K"}, {"course_id": "972", "sec_id": "1", "semester": "Spring", "year": 2009, "building": "Taylor", "room_number": "183", "time_slot_id": "J"}, {"course_id": "349", "sec_id": "1", "semester": "Spring", "year": 2008, "building": "Saucon", "room_number": "113", "time_slot_id": "K"}, {"course_id": "415", "sec_id": "1", "semester": "Fall", "year": 2010, "building": "Lamberton", "room_number": "134", "time_slot_id": "D"}, {"course_id": "137", "sec_id": "1", "semester": "Spring", "year": 2002, "building": "Fairchild", "room_number": "145", "time_slot_id": "I"}, {"course_id": "304", "sec_id": "1", "semester": "Fall", "year": 2009, "building": "Lamberton", "room_number": "143", "time_slot_id": "H"}, {"course_id": "468", "sec_id": "1", "semester": "Fall", "year": 2005, "building": "Lambeau", "room_number": "348", "time_slot_id": "J"}, {"course_id": "748", "sec_id": "1", "semester": "Fall", "year": 2003, "building": "Saucon", "room_number": "180", "time_slot_id": "L"}, {"course_id": "694", "sec_id": "1", "semester": "Fall", "year": 2002, "building": "Alumni", "room_number": "143", "time_slot_id": "O"}, {"course_id": "345", "sec_id": "1", "semester": "Spring", "year": 2008, "building": "Taylor", "room_number": "183", "time_slot_id": "A"}, {"course_id": "352", "sec_id": "1", "semester": "Spring", "year": 2006, "building": "Lambeau", "room_number": "348", "time_slot_id": "M"}, {"course_id": "581", "sec_id": "1", "semester": "Spring", "year": 2005, "building": "Alumni", "room_number": "547", "time_slot_id": "G"}, {"course_id": "493", "sec_id": "1", "semester": "Spring", "year": 2010, "building": "Lamberton", "room_number": "134", "time_slot_id": "H"}, {"course_id": "795", "sec_id": "1", "semester": "Spring", "year": 2004, "building": "Lamberton", "room_number": "143", "time_slot_id": "D"}, {"course_id": "793", "sec_id": "1", "semester": "Spring", "year": 2002, "building": "Nassau", "room_number": "45", "time_slot_id": "F"}, {"course_id": "237", "sec_id": "2", "semester": "Fall", "year": 2009, "building": "Fairchild", "room_number": "145", "time_slot_id": "J"}, {"course_id": "362", "sec_id": "1", "semester": "Fall", "year": 2005, "building": "Lamberton", "room_number": "143", "time_slot_id": "I"}, {"course_id": "642", "sec_id": "1", "semester": "Fall", "year": 2004, "building": "Saucon", "room_number": "113", "time_slot_id": "D"}, {"course_id": "808", "sec_id": "1", "semester": "Fall", "year": 2003, "building": "Polya", "room_number": "808", "time_slot_id": "M"}, {"course_id": "679", "sec_id": "1", "semester": "Spring", "year": 2010, "building": "Saucon", "room_number": "844", "time_slot_id": "D"}, {"course_id": "629", "sec_id": "1", "semester": "Spring", "year": 2003, "building": "Stabler", "room_number": "105", "time_slot_id": "F"}, {"course_id": "400", "sec_id": "1", "semester": "Spring", "year": 2007, "building": "Lambeau", "room_number": "348", "time_slot_id": "M"}, {"course_id": "599", "sec_id": "1", "semester": "Spring", "year": 2003, "building": "Chandler", "room_number": "804", "time_slot_id": "D"}, {"course_id": "760", "sec_id": "1", "semester": "Spring", "year": 2004, "building": "Garfield", "room_number": "119", "time_slot_id": "A"}, {"course_id": "843", "sec_id": "1", "semester": "Fall", "year": 2010, "building": "Fairchild", "room_number": "145", "time_slot_id": "J"}, {"course_id": "200", "sec_id": "1", "semester": "Spring", "year": 2007, "building": "Saucon", "room_number": "180", "time_slot_id": "D"}, {"course_id": "443", "sec_id": "2", "semester": "Spring", "year": 2002, "building": "Gates", "room_number": "707", "time_slot_id": "K"}, {"course_id": "612", "sec_id": "1", "semester": "Fall", "year": 2007, "building": "Lamberton", "room_number": "143", "time_slot_id": "G"}, {"course_id": "169", "sec_id": "1", "semester": "Spring", "year": 2007, "building": "Gates", "room_number": "314", "time_slot_id": "A"}, {"course_id": "791", "sec_id": "1", "semester": "Spring", "year": 2006, "building": "Polya", "room_number": "808", "time_slot_id": "H"}, {"course_id": "867", "sec_id": "2", "semester": "Fall", "year": 2010, "building": "Lamberton", "room_number": "134", "time_slot_id": "M"}, {"course_id": "489", "sec_id": "1", "semester": "Fall", "year": 2007, "building": "Lamberton", "room_number": "143", "time_slot_id": "D"}, {"course_id": "158", "sec_id": "2", "semester": "Spring", "year": 2008, "building": "Taylor", "room_number": "812", "time_slot_id": "D"}, {"course_id": "242", "sec_id": "1", "semester": "Fall", "year": 2009, "building": "Fairchild", "room_number": "145", "time_slot_id": "C"}, {"course_id": "960", "sec_id": "1", "semester": "Fall", "year": 2009, "building": "Lamberton", "room_number": "134", "time_slot_id": "J"}, {"course_id": "421", "sec_id": "1", "semester": "Fall", "year": 2004, "building": "Gates", "room_number": "707", "time_slot_id": "E"}, {"course_id": "105", "sec_id": "1", "semester": "Fall", "year": 2009, "building": "Chandler", "room_number": "375", "time_slot_id": "C"}, {"course_id": "591", "sec_id": "1", "semester": "Spring", "year": 2005, "building": "Saucon", "room_number": "180", "time_slot_id": "F"}, {"course_id": "192", "sec_id": "1", "semester": "Fall", "year": 2002, "building": "Polya", "room_number": "808", "time_slot_id": "B"}, {"course_id": "362", "sec_id": "2", "semester": "Fall", "year": 2006, "building": "Alumni", "room_number": "547", "time_slot_id": "A"}, {"course_id": "270", "sec_id": "1", "semester": "Spring", "year": 2010, "building": "Power", "room_number": "717", "time_slot_id": "M"}, {"course_id": "461", "sec_id": "1", "semester": "Fall", "year": 2002, "building": "Main", "room_number": "425", "time_slot_id": "P"}, {"course_id": "704", "sec_id": "1", "semester": "Spring", "year": 2008, "building": "Taylor", "room_number": "812", "time_slot_id": "E"}, {"course_id": "626", "sec_id": "1", "semester": "Fall", "year": 2006, "building": "Lamberton", "room_number": "143", "time_slot_id": "B"}, {"course_id": "105", "sec_id": "2", "semester": "Fall", "year": 2002, "building": "Taylor", "room_number": "183", "time_slot_id": "C"}, {"course_id": "696", "sec_id": "1", "semester": "Spring", "year": 2002, "building": "Saucon", "room_number": "180", "time_slot_id": "E"}, {"course_id": "962", "sec_id": "1", "semester": "Spring", "year": 2008, "building": "Nassau", "room_number": "45", "time_slot_id": "L"}, {"course_id": "362", "sec_id": "3", "semester": "Spring", "year": 2008, "building": "Bronfman", "room_number": "700", "time_slot_id": "L"}, {"course_id": "852", "sec_id": "1", "semester": "Spring", "year": 2008, "building": "Gates", "room_number": "707", "time_slot_id": "F"}, {"course_id": "949", "sec_id": "1", "semester": "Fall", "year": 2007, "building": "Saucon", "room_number": "180", "time_slot_id": "B"}, {"course_id": "482", "sec_id": "1", "semester": "Fall", "year": 2005, "building": "Whitman", "room_number": "434", "time_slot_id": "H"}, {"course_id": "527", "sec_id": "1", "semester": "Fall", "year": 2004, "building": "Saucon", "room_number": "113", "time_slot_id": "M"}, {"course_id": "476", "sec_id": "1", "semester": "Fall", "year": 2010, "building": "Drown", "room_number": "757", "time_slot_id": "C"}, {"course_id": "991", "sec_id": "1", "semester": "Spring", "year": 2008, "building": "Lamberton", "room_number": "134", "time_slot_id": "J"}, {"course_id": "408", "sec_id": "1", "semester": "Spring", "year": 2007, "building": "Taylor", "room_number": "812", "time_slot_id": "C"}, {"course_id": "319", "sec_id": "1", "semester": "Spring", "year": 2003, "building": "Rathbone", "room_number": "261", "time_slot_id": "E"}, {"course_id": "400", "sec_id": "2", "semester": "Fall", "year": 2003, "building": "Main", "room_number": "425", "time_slot_id": "O"}, {"course_id": "401", "sec_id": "1", "semester": "Fall", "year": 2003, "building": "Saucon", "room_number": "180", "time_slot_id": "A"}, {"course_id": "960", "sec_id": "2", "semester": "Fall", "year": 2006, "building": "Power", "room_number": "717", "time_slot_id": "M"}, {"course_id": "571", "sec_id": "1", "semester": "Spring", "year": 2004, "building": "Power", "room_number": "972", "time_slot_id": "I"}, {"course_id": "468", "sec_id": "2", "semester": "Fall", "year": 2007, "building": "Power", "room_number": "717", "time_slot_id": "L"}, {"course_id": "735", "sec_id": "2", "semester": "Spring", "year": 2010, "building": "Taylor", "room_number": "183", "time_slot_id": "D"}, {"course_id": "169", "sec_id": "2", "semester": "Fall", "year": 2002, "building": "Drown", "room_number": "757", "time_slot_id": "L"}, {"course_id": "496", "sec_id": "1", "semester": "Fall", "year": 2001, "building": "Taylor", "room_number": "812", "time_slot_id": "I"}, {"course_id": "200", "sec_id": "2", "semester": "Fall", "year": 2002, "building": "Chandler", "room_number": "375", "time_slot_id": "D"}, {"course_id": "875", "sec_id": "1", "semester": "Spring", "year": 2005, "building": "Power", "room_number": "717", "time_slot_id": "P"}, {"course_id": "603", "sec_id": "1", "semester": "Fall", "year": 2003, "building": "Taylor", "room_number": "812", "time_slot_id": "P"}, {"course_id": "408", "sec_id": "2", "semester": "Spring", "year": 2003, "building": "Taylor", "room_number": "183", "time_slot_id": "J"}, {"course_id": "338", "sec_id": "2", "semester": "Spring", "year": 2006, "building": "Stabler", "room_number": "105", "time_slot_id": "J"}, {"course_id": "864", "sec_id": "1", "semester": "Spring", "year": 2006, "building": "Power", "room_number": "972", "time_slot_id": "D"}], "classroom": [{"building": "Lamberton", "room_number": "134", "capacity": 10}, {"building": "Chandler", "room_number": "375", "capacity": 10}, {"building": "Fairchild", "room_number": "145", "capacity": 27}, {"building": "Nassau", "room_number": "45", "capacity": 92}, {"building": "Grace", "room_number": "40", "capacity": 34}, {"building": "Whitman", "room_number": "134", "capacity": 120}, {"building": "Lamberton", "room_number": "143", "capacity": 10}, {"building": "Taylor", "room_number": "812", "capacity": 115}, {"building": "Saucon", "room_number": "113", "capacity": 109}, {"building": "Painter", "room_number": "86", "capacity": 97}, {"building": "Alumni", "room_number": "547", "capacity": 26}, {"building": "Alumni", "room_number": "143", "capacity": 47}, {"building": "Drown", "room_number": "757", "capacity": 18}, {"building": "Saucon", "room_number": "180", "capacity": 15}, {"building": "Whitman", "room_number": "434", "capacity": 32}, {"building": "Saucon", "room_number": "844", "capacity": 24}, {"building": "Bronfman", "room_number": "700", "capacity": 12}, {"building": "Polya", "room_number": "808", "capacity": 28}, {"building": "Gates", "room_number": "707", "capacity": 65}, {"building": "Gates", "room_number": "314", "capacity": 10}, {"building": "Main", "room_number": "45", "capacity": 30}, {"building": "Taylor", "room_number": "183", "capacity": 71}, {"building": "Power", "room_number": "972", "capacity": 10}, {"building": "Garfield", "room_number": "119", "capacity": 59}, {"building": "Rathbone", "room_number": "261", "capacity": 60}, {"building": "Stabler", "room_number": "105", "capacity": 113}, {"building": "Power", "room_number": "717", "capacity": 12}, {"building": "Main", "room_number": "425", "capacity": 22}, {"building": "Lambeau", "room_number": "348", "capacity": 51}, {"building": "Chandler", "room_number": "804", "capacity": 11}]}, "correct_code": "-- Load college_2__section data\nsection = load(\"section\")\n\nfiltered_section = section\n |> filter(building == \"Bronfman\")\n |> select(semester, course_id, sec_id, year, building)\n\nresult = filtered_section\n |> sort_by(year, asc)\n |> take(5)\n\nemit result", "buggy_code": "-- Load college_2__section data\nsection = load(\"section\")\n\nfiltered_section = section\n |> filter(building == \"Bronfman\")\n |> select(semester, course_id, sec_id, year, building)\n\nresult = filtered_section\n |> sort_by(year, asc)\n |> take(1)\n\nemit result", "expected_output": [{"semester": "Spring", "course_id": "362", "sec_id": "3", "year": 2008, "building": "Bronfman"}, {"semester": "Spring", "course_id": "604", "sec_id": "1", "year": 2009, "building": "Bronfman"}], "bug_info": [{"category": "logic_bug", "description": "Off-by-2 in take: 5 \u2192 3", "line_num": 10, "original": "|> take(5)", "mutated": "|> take(3)"}, {"category": "logic_bug", "description": "Off-by-2 in take: 3 \u2192 1", "line_num": 10, "original": "|> take(3)", "mutated": "|> take(1)"}], "difficulty": "medium", "domain": "college_2__section", "num_nodes": 3, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_hard | {"datasets": {"works_on": [{"essn": 123456789, "pno": 1, "hours": 32.5}, {"essn": 123456789, "pno": 2, "hours": 7.5}, {"essn": 666884444, "pno": 3, "hours": 40.0}, {"essn": 453453453, "pno": 1, "hours": 20.0}, {"essn": 453453453, "pno": 2, "hours": 20.0}, {"essn": 333445555, "pno": 2, "hours": 10.0}, {"essn": 333445555, "pno": 3, "hours": 10.0}, {"essn": 333445555, "pno": 10, "hours": 10.0}, {"essn": 333445555, "pno": 20, "hours": 10.0}, {"essn": 999887777, "pno": 30, "hours": 30.0}, {"essn": 999887777, "pno": 10, "hours": 10.0}, {"essn": 987987987, "pno": 10, "hours": 35.0}, {"essn": 987987987, "pno": 30, "hours": 5.0}, {"essn": 987654321, "pno": 30, "hours": 20.0}, {"essn": 987654321, "pno": 20, "hours": 15.0}, {"essn": 888665555, "pno": 20, "hours": 0}]}, "correct_code": "-- Load company_1__works_on data\nworks_on = load(\"works_on\")\n\nfiltered_works_on = works_on\n |> filter(hours >= 19)\n |> select(essn, hours, pno)\n |> compute(computed_val: pno * essn)\n\nresult = filtered_works_on\n |> sort_by(pno, desc)\n |> take(10)\n\nemit result", "buggy_code": "-- Load company_1__works_on data\nworks_on = load(\"works_on\")\n\nfiltered_works_on = works_on\n |> filter(hours >= 19)\n |> select(essn, hours, pno)\n |> compute(computed_val: pno * pno)\n\nresult = filtered_works_on\n |> sort_by(pno, desc)\n |> take(10)\n\nemit result", "expected_output": [{"essn": 999887777, "hours": 30.0, "pno": 30, "computed_val": 29996633310}, {"essn": 987654321, "hours": 20.0, "pno": 30, "computed_val": 29629629630}, {"essn": 987987987, "hours": 35.0, "pno": 10, "computed_val": 9879879870}, {"essn": 666884444, "hours": 40.0, "pno": 3, "computed_val": 2000653332}, {"essn": 453453453, "hours": 20.0, "pno": 2, "computed_val": 906906906}, {"essn": 123456789, "hours": 32.5, "pno": 1, "computed_val": 123456789}, {"essn": 453453453, "hours": 20.0, "pno": 1, "computed_val": 453453453}], "bug_info": [{"category": "wrong_col", "description": "Wrong column reference: 'essn' \u2192 'pno'", "line_num": 7, "original": "|> compute(computed_val: pno * essn)", "mutated": "|> compute(computed_val: pno * pno)"}], "difficulty": "hard", "domain": "company_1__works_on", "num_nodes": 3, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_medium | {"datasets": {"timed_status_of_things": [{"thing_id": 2, "date_and_date": "2016-05-27 23:33:34", "status_of_thing_code": "Open"}, {"thing_id": 2, "date_and_date": "2016-07-17 08:35:27", "status_of_thing_code": "Close"}, {"thing_id": 2, "date_and_date": "2017-06-19 02:59:21", "status_of_thing_code": "In Progress"}, {"thing_id": 10, "date_and_date": "2016-09-06 16:31:13", "status_of_thing_code": "Close"}, {"thing_id": 10, "date_and_date": "2016-11-14 17:30:51", "status_of_thing_code": "Open"}, {"thing_id": 14, "date_and_date": "2017-07-03 02:22:12", "status_of_thing_code": "In Progress"}, {"thing_id": 26, "date_and_date": "2016-04-10 06:32:15", "status_of_thing_code": "Close"}, {"thing_id": 26, "date_and_date": "2017-08-05 02:10:02", "status_of_thing_code": "In Progress"}, {"thing_id": 26, "date_and_date": "2018-02-04 02:44:39", "status_of_thing_code": "Close"}, {"thing_id": 35, "date_and_date": "2017-11-27 06:32:46", "status_of_thing_code": "In Progress"}, {"thing_id": 47, "date_and_date": "2016-04-02 00:57:17", "status_of_thing_code": "In Progress"}, {"thing_id": 47, "date_and_date": "2016-12-02 11:08:16", "status_of_thing_code": "Close"}, {"thing_id": 58, "date_and_date": "2017-05-31 00:52:33", "status_of_thing_code": "In Progress"}, {"thing_id": 80, "date_and_date": "2016-10-08 08:02:57", "status_of_thing_code": "Open"}, {"thing_id": 84, "date_and_date": "2017-12-28 16:05:08", "status_of_thing_code": "Open"}, {"thing_id": 85, "date_and_date": "2017-03-24 12:12:46", "status_of_thing_code": "Close"}, {"thing_id": 92, "date_and_date": "2016-11-24 12:44:00", "status_of_thing_code": "In Progress"}, {"thing_id": 92, "date_and_date": "2017-09-27 01:35:51", "status_of_thing_code": "Close"}], "things": [{"thing_id": 1, "organization_id": 8, "type_of_thing_code": "Electronics", "service_type_code": "Check", "service_details": "Unsatisfied"}, {"thing_id": 2, "organization_id": 8, "type_of_thing_code": "Electronics", "service_type_code": "Cleanning", "service_details": "Satisfied"}, {"thing_id": 10, "organization_id": 8, "type_of_thing_code": "Commen", "service_type_code": "Check", "service_details": "Satisfied"}, {"thing_id": 14, "organization_id": 10, "type_of_thing_code": "Furniture", "service_type_code": "Cleanning", "service_details": "Satisfied"}, {"thing_id": 26, "organization_id": 8, "type_of_thing_code": "Electronics", "service_type_code": "Cleanning", "service_details": "Unsatisfied"}, {"thing_id": 35, "organization_id": 7, "type_of_thing_code": "Electronics", "service_type_code": "Cleanning", "service_details": "Satisfied"}, {"thing_id": 45, "organization_id": 8, "type_of_thing_code": "Commen", "service_type_code": "Check", "service_details": "Satisfied"}, {"thing_id": 46, "organization_id": 8, "type_of_thing_code": "Commen", "service_type_code": "Check", "service_details": "Satisfied"}, {"thing_id": 47, "organization_id": 10, "type_of_thing_code": "Commen", "service_type_code": "Cleanning", "service_details": "Satisfied"}, {"thing_id": 58, "organization_id": 8, "type_of_thing_code": "Electronics", "service_type_code": "Check", "service_details": "Satisfied"}, {"thing_id": 68, "organization_id": 10, "type_of_thing_code": "Commen", "service_type_code": "Cleanning", "service_details": "Unsatisfied"}, {"thing_id": 80, "organization_id": 8, "type_of_thing_code": "Furniture", "service_type_code": "Check", "service_details": "Unsatisfied"}, {"thing_id": 84, "organization_id": 8, "type_of_thing_code": "Commen", "service_type_code": "Check", "service_details": "Unsatisfied"}, {"thing_id": 85, "organization_id": 8, "type_of_thing_code": "Commen", "service_type_code": "Cleanning", "service_details": "Unsatisfied"}, {"thing_id": 92, "organization_id": 7, "type_of_thing_code": "Commen", "service_type_code": "Check", "service_details": "Unsatisfied"}]}, "correct_code": "-- Load local_govt_and_lot__timed_status_of_things data\ntimed_status_of_things = load(\"timed_status_of_things\")\n |> select(status_of_thing_code, thing_id, date_and_date)\n\nsummary = timed_status_of_things\n |> group_by(status_of_thing_code)\n |> aggregate(total_thing_id: sum(thing_id), count: count())\n\nresult = summary\n |> sort_by(total_thing_id, desc)\n |> take(5)\n\nemit result", "buggy_code": "-- Load local_govt_and_lot__timed_status_of_things data\ntimed_status_of_things = load(\"timed_status_of_things\")\n |> select(status_of_thing_code, thing_id, date_and_date)\n\nsummary = timed_status_of_things\n |> group_by(status_of_thing_code)\n |> aggregate(total_thing_id: avg(thing_id), count: count())\n\nresult = summary\n |> sort_by(total_thing_id, asc)\n |> take(5)\n\nemit result", "expected_output": [{"status_of_thing_code": "Close", "total_thing_id": 288, "count": 7}, {"status_of_thing_code": "In Progress", "total_thing_id": 274, "count": 7}, {"status_of_thing_code": "Open", "total_thing_id": 176, "count": 4}], "bug_info": [{"category": "wrong_arg", "description": "Wrong aggregate function: 'sum' \u2192 'avg'", "line_num": 7, "original": "|> aggregate(total_thing_id: sum(thing_id), count: count())", "mutated": "|> aggregate(total_thing_id: avg(thing_id), count: count())"}, {"category": "wrong_arg", "description": "Wrong sort order: 'desc' \u2192 'asc'", "line_num": 10, "original": "|> sort_by(total_thing_id, desc)", "mutated": "|> sort_by(total_thing_id, asc)"}], "difficulty": "medium", "domain": "local_govt_and_lot__timed_status_of_things", "num_nodes": 3, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_easy | {"datasets": {"results": [{"resultid": 1, "raceid": 18, "driverid": 1, "constructorid": 1, "number": 22, "grid": 1, "position": "1", "positiontext": "1", "positionorder": 1, "points": 10.0, "laps": "58", "time": "34:50.6", "milliseconds": "5690616", "fastestlap": "39", "rank": "2", "fastestlaptime": "01:27.5", "fastestlapspeed": "218.3", "statusid": 1}, {"resultid": 2, "raceid": 18, "driverid": 2, "constructorid": 2, "number": 3, "grid": 5, "position": "2", "positiontext": "2", "positionorder": 2, "points": 8.0, "laps": "58", "time": "5.478", "milliseconds": "5696094", "fastestlap": "41", "rank": "3", "fastestlaptime": "01:27.7", "fastestlapspeed": "217.586", "statusid": 1}, {"resultid": 3, "raceid": 18, "driverid": 3, "constructorid": 3, "number": 7, "grid": 7, "position": "3", "positiontext": "3", "positionorder": 3, "points": 6.0, "laps": "58", "time": "8.163", 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"name": "Cooper-Ferrari", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 193, "constructorref": "cooper-ats", "name": "Cooper-ATS", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 194, "constructorref": "mclaren-brm", "name": "McLaren-BRM", "nationality": "British", "url": "http://en.wikipedia.org/wiki/McLaren_(racing)"}, {"constructorid": 195, "constructorref": "cooper-brm", "name": "Cooper-BRM", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 196, "constructorref": "matra-ford", "name": "Matra-Ford", "nationality": "French", "url": "http://en.wikipedia.org/wiki/Matra"}, {"constructorid": 197, "constructorref": "brm-ford", "name": "BRM-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/BRM"}, {"constructorid": 198, "constructorref": "mclaren-alfa_romeo", "name": "McLaren-Alfa Romeo", "nationality": "British", "url": "http://en.wikipedia.org/wiki/McLaren_(racing)"}, {"constructorid": 199, "constructorref": "march-alfa_romeo", "name": "March-Alfa Romeo", "nationality": "British", "url": "http://en.wikipedia.org/wiki/March_Engineering"}, {"constructorid": 200, "constructorref": "march-ford", "name": "March-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/March_Engineering"}, {"constructorid": 201, "constructorref": "lotus-pw", "name": "Lotus-Pratt & Whitney", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_Lotus"}, {"constructorid": 202, "constructorref": "shadow-ford", "name": "Shadow-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Shadow_Racing_Cars"}]}, "correct_code": "-- Load formula_1__results data\nresults = load(\"results\")\n\nfiltered_results = results\n |> filter(time == \"+1:07.540\")\n\nsummary = filtered_results\n |> group_by(milliseconds)\n |> aggregate(min_resultid: min(resultid), count: count())\n\nresult = summary\n |> sort_by(count, desc)\n |> take(10)\n\nemit result", "buggy_code": "-- Load formula_1__results data\nresults = load(\"results\")\n\nfiltered_results = results\n |> filter(time == \"+1:07.540\")\n\nsummary = filtered_results\n |> groupby(milliseconds)\n |> aggregate(min_resultid: min(resultid), count: count())\n\nresult = summary\n |> sort_by(count, desc)\n |> take(10)\n\nemit result", "expected_output": [{"milliseconds": "5851767", "min_resultid": 139, "count": 1}], "bug_info": [{"category": "syntax", "description": "Typo in keyword: 'group_by' \u2192 'groupby'", "line_num": 8, "original": "|> group_by(milliseconds)", "mutated": "|> groupby(milliseconds)"}], "difficulty": "easy", "domain": "formula_1__results", "num_nodes": 4, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_easy | {"datasets": {"member_of": [{"facid": 7792, "dno": 600, "appt_type": "Primary"}, {"facid": 9210, "dno": 520, "appt_type": "Primary"}, {"facid": 9811, "dno": 550, "appt_type": "Primary"}, {"facid": 9643, "dno": 50, "appt_type": "Primary"}, {"facid": 9379, "dno": 520, "appt_type": "Primary"}, {"facid": 8918, "dno": 600, "appt_type": "Primary"}, {"facid": 7712, "dno": 600, "appt_type": "Primary"}, {"facid": 1121, "dno": 600, "appt_type": "Primary"}, {"facid": 9172, "dno": 600, "appt_type": "Primary"}, {"facid": 8423, "dno": 600, "appt_type": "Primary"}, {"facid": 1148, "dno": 600, "appt_type": "Primary"}, {"facid": 8741, "dno": 600, "appt_type": "Primary"}, {"facid": 3457, "dno": 600, "appt_type": "Primary"}, {"facid": 7723, "dno": 600, "appt_type": "Primary"}, {"facid": 8721, "dno": 600, "appt_type": "Primary"}, {"facid": 2192, "dno": 600, "appt_type": "Primary"}, {"facid": 8114, "dno": 600, "appt_type": "Primary"}, {"facid": 6112, "dno": 600, "appt_type": "Primary"}, {"facid": 9826, "dno": 600, "appt_type": "Primary"}, {"facid": 1193, "dno": 600, "appt_type": "Primary"}, {"facid": 1082, "dno": 600, "appt_type": "Primary"}, {"facid": 4230, "dno": 600, "appt_type": "Primary"}, {"facid": 8989, "dno": 600, "appt_type": "Secondary"}, {"facid": 7271, "dno": 600, "appt_type": "Secondary"}, {"facid": 8721, "dno": 520, "appt_type": "Secondary"}, {"facid": 8741, "dno": 50, "appt_type": "Secondary"}, {"facid": 7271, "dno": 50, "appt_type": "Secondary"}, {"facid": 6182, "dno": 550, "appt_type": "Primary"}, {"facid": 8772, "dno": 550, "appt_type": "Primary"}, {"facid": 2738, "dno": 550, "appt_type": "Primary"}, {"facid": 2881, "dno": 550, "appt_type": "Primary"}, {"facid": 9922, "dno": 550, "appt_type": "Primary"}, {"facid": 6541, "dno": 550, "appt_type": "Primary"}, {"facid": 8102, "dno": 550, "appt_type": "Primary"}, {"facid": 1177, "dno": 550, "appt_type": "Primary"}, {"facid": 9823, "dno": 550, "appt_type": "Primary"}, {"facid": 2311, "dno": 550, "appt_type": "Primary"}, {"facid": 2291, "dno": 550, "appt_type": "Primary"}, {"facid": 8122, "dno": 550, "appt_type": "Primary"}, {"facid": 8989, "dno": 50, "appt_type": "Primary"}, {"facid": 4432, "dno": 50, "appt_type": "Primary"}, {"facid": 5718, "dno": 50, "appt_type": "Primary"}, {"facid": 8791, "dno": 50, "appt_type": "Primary"}, {"facid": 9011, "dno": 50, "appt_type": "Primary"}, {"facid": 6910, "dno": 50, "appt_type": "Primary"}, {"facid": 8723, "dno": 520, "appt_type": "Primary"}, {"facid": 2028, "dno": 520, "appt_type": "Primary"}, {"facid": 8722, "dno": 520, "appt_type": "Primary"}, {"facid": 9191, "dno": 520, "appt_type": "Primary"}, {"facid": 1823, "dno": 520, "appt_type": "Primary"}, {"facid": 7134, "dno": 520, "appt_type": "Primary"}, {"facid": 9199, "dno": 520, "appt_type": "Primary"}, {"facid": 6925, "dno": 520, "appt_type": "Primary"}, {"facid": 7271, "dno": 520, "appt_type": "Primary"}, {"facid": 6191, "dno": 520, "appt_type": "Primary"}, {"facid": 2119, "dno": 520, "appt_type": "Primary"}, {"facid": 9514, "dno": 520, "appt_type": "Primary"}, {"facid": 7231, "dno": 520, "appt_type": "Primary"}, {"facid": 1172, "dno": 520, "appt_type": "Primary"}, {"facid": 8118, "dno": 520, "appt_type": "Primary"}, {"facid": 7506, "dno": 520, "appt_type": "Primary"}, {"facid": 6330, "dno": 520, "appt_type": "Primary"}, {"facid": 9824, "dno": 520, "appt_type": "Primary"}], "faculty": [{"facid": 1082, "lname": "Giuliano", "fname": "Mark", "rank": "Instructor", "sex": "M", "phone": 2424, "room": "224", "building": "NEB"}, {"facid": 1121, "lname": "Goodrich", "fname": "Michael", "rank": "Professor", "sex": "M", "phone": 3593, "room": "219", "building": "NEB"}, {"facid": 1148, "lname": "Masson", "fname": "Gerald", "rank": "Professor", "sex": "M", "phone": 3402, "room": "224B", "building": "NEB"}, {"facid": 1172, "lname": "Runolfsson", "fname": "Thordur", "rank": "AssocProf", "sex": "M", "phone": 3121, "room": "119", "building": "Barton"}, {"facid": 1177, "lname": "Naiman", "fname": "Daniel", "rank": "Professor", "sex": "M", "phone": 3571, "room": "288", "building": "Krieger"}, {"facid": 1193, "lname": "Jones", "fname": "Stacey", "rank": "Instructor", "sex": "F", "phone": 3550, "room": "224", "building": "NEB"}, {"facid": 1823, "lname": "Davidson", "fname": "Frederic", "rank": "Professor", "sex": "M", "phone": 5629, "room": "119", "building": "Barton"}, {"facid": 2028, "lname": "Brody", "fname": "William", "rank": "Professor", "sex": "M", "phone": 6073, "room": "119", "building": "Barton"}, {"facid": 2119, "lname": "Meyer", "fname": "Gerard", "rank": "Professor", "sex": "M", "phone": 6350, "room": "119", "building": "Barton"}, {"facid": 2192, "lname": "Yarowsky", "fname": "David", "rank": "AsstProf", "sex": "M", "phone": 6587, "room": "324", "building": "NEB"}, {"facid": 2291, "lname": "Scheinerman", "fname": "Edward", "rank": "Professor", "sex": "M", "phone": 6654, "room": "288", "building": "Krieger"}, {"facid": 2311, "lname": "Priebe", "fname": "Carey", "rank": "AsstProf", "sex": "M", "phone": 6953, "room": "288", "building": "Krieger"}, {"facid": 2738, "lname": "Fill", "fname": "James", "rank": "Professor", "sex": "M", "phone": 8209, "room": "288", "building": "Krieger"}, {"facid": 2881, "lname": "Goldman", "fname": "Alan", "rank": "Professor", "sex": "M", "phone": 8335, "room": "288", "building": "Krieger"}, {"facid": 3457, "lname": "Smith", "fname": "Scott", "rank": "AssocProf", "sex": "M", "phone": 1035, "room": "318", "building": "NEB"}, {"facid": 4230, "lname": "Houlahan", "fname": "Joanne", "rank": "Instructor", "sex": "F", "phone": 1260, "room": "328", "building": "NEB"}, {"facid": 4432, "lname": "Burzio", "fname": "Luigi", "rank": "Professor", "sex": "M", "phone": 1813, "room": "288", "building": "Krieger"}, {"facid": 5718, "lname": "Frank", "fname": "Robert", "rank": "AsstProf", "sex": "M", "phone": 1751, "room": "288", "building": "Krieger"}, {"facid": 6112, "lname": "Beach", "fname": "Louis", "rank": "Instructor", "sex": "M", "phone": 1838, "room": "207", "building": "NEB"}, {"facid": 6182, "lname": "Cheng", "fname": "Cheng", "rank": "AsstProf", "sex": "M", "phone": 1856, "room": "288", "building": "Krieger"}, {"facid": 6191, "lname": "Kaplan", "fname": "Alexander", "rank": "Professor", "sex": "M", "phone": 1825, "room": "119", "building": "Barton"}, {"facid": 6330, "lname": "Byrne", "fname": "William", "rank": "Instructor", "sex": "M", "phone": 1691, "room": "119", "building": "Barton"}, {"facid": 6541, "lname": "Han", "fname": "Shih-Ping", "rank": "Professor", "sex": "M", "phone": 1914, "room": "288", "building": "Krieger"}, {"facid": 6910, "lname": "Smolensky", "fname": "Paul", "rank": "Professor", "sex": "M", "phone": 2072, "room": "288", "building": "Krieger"}, {"facid": 6925, "lname": "Iglesias", "fname": "Pablo", "rank": "AsstProf", "sex": "M", "phone": 2021, "room": "119", "building": "Barton"}, {"facid": 7134, "lname": "Goutsias", "fname": "John", "rank": "Professor", "sex": "M", "phone": 2184, "room": "119", "building": "Barton"}, {"facid": 7231, "lname": "Rugh", "fname": "Wilson", "rank": "Professor", "sex": "M", "phone": 2191, "room": "119", "building": "Barton"}, {"facid": 7271, "lname": "Jelinek", "fname": "Frederick", "rank": "Professor", "sex": "M", "phone": 2890, "room": "119", "building": "Barton"}, {"facid": 7506, "lname": "Westgate", "fname": "Charles", "rank": "Professor", "sex": "M", "phone": 2932, "room": "119", "building": "Barton"}, {"facid": 7712, "lname": "Awerbuch", "fname": "Baruch", "rank": "Professor", "sex": "M", "phone": 2105, "room": "220", "building": "NEB"}, {"facid": 7723, "lname": "Taylor", "fname": "Russell", "rank": "Professor", "sex": "M", "phone": 2435, "room": "317", "building": "NEB"}, {"facid": 7792, "lname": "Brill", "fname": "Eric", "rank": "AsstProf", "sex": "M", "phone": 2303, "room": "324B", "building": "NEB"}, {"facid": 8102, "lname": "James", "fname": "Lancelot", "rank": "AsstProf", "sex": "M", "phone": 2792, "room": "288", "building": "Krieger"}, {"facid": 8114, "lname": "Angelopoulou", "fname": "Ellie", "rank": "Instructor", "sex": "F", "phone": 2152, "room": "316", "building": "NEB"}, {"facid": 8118, "lname": "Weinert", "fname": "Howard", "rank": "Professor", "sex": "M", "phone": 3272, "room": "119", "building": "Barton"}, {"facid": 8122, "lname": "Wierman", "fname": "John", "rank": "Professor", "sex": "M", "phone": 3392, "room": "288", "building": "Krieger"}, {"facid": 8423, "lname": "Kumar", "fname": "Subodh", "rank": "AsstProf", "sex": "M", "phone": 2522, "room": "218", "building": "NEB"}, {"facid": 8721, "lname": "Wolff", "fname": "Lawrence", "rank": "AssocProf", "sex": "M", "phone": 2342, "room": "316", "building": "NEB"}, {"facid": 8722, "lname": "Cauwenberghs", "fname": "Gert", "rank": "AsstProf", "sex": "M", "phone": 1372, "room": "119", "building": "Barton"}, {"facid": 8723, "lname": "Andreou", "fname": "Andreas", "rank": "Professor", "sex": "M", "phone": 1402, "room": "119", "building": "Barton"}, {"facid": 8741, "lname": "Salzberg", "fname": "Steven", "rank": "AssocProf", "sex": "M", "phone": 2641, "room": "324A", "building": "NEB"}, {"facid": 8772, "lname": "Cowen", "fname": "Lenore", "rank": "AsstProf", "sex": "F", "phone": 2870, "room": "288", "building": "Krieger"}, {"facid": 8791, "lname": "McCloskey", "fname": "Michael", "rank": "Professor", "sex": "M", "phone": 3440, "room": "288", "building": "Krieger"}, {"facid": 8918, "lname": "Amir", "fname": "Yair", "rank": "AsstProf", "sex": "M", "phone": 2672, "room": "308", "building": "NEB"}, {"facid": 8989, "lname": "Brent", "fname": "Michael", "rank": "AsstProf", "sex": "M", "phone": 9373, "room": "288", "building": "Krieger"}, {"facid": 9011, "lname": "Rapp", "fname": "Brenda", "rank": "AsstProf", "sex": "F", "phone": 2032, "room": "288", "building": "Krieger"}, {"facid": 9172, "lname": "Kosaraju", "fname": "Rao", "rank": "Professor", "sex": "M", "phone": 2757, "room": "319", "building": "NEB"}, {"facid": 9191, "lname": "Collins", "fname": "Oliver", "rank": "AssocProf", "sex": "M", "phone": 5427, "room": "119", "building": "Barton"}, {"facid": 9199, "lname": "Hughes", "fname": "Brian", "rank": "AssocProf", "sex": "M", "phone": 5666, "room": "119", "building": "Barton"}, {"facid": 9210, "lname": "Joseph", "fname": "Richard", "rank": "Professor", "sex": "M", "phone": 5996, "room": "119", "building": "Barton"}, {"facid": 9379, "lname": "Khurgin", "fname": "Jacob", "rank": "Professor", "sex": "M", "phone": 1060, "room": "119", "building": "Barton"}, {"facid": 9514, "lname": "Prince", "fname": "Jerry", "rank": "AssocProf", "sex": "M", "phone": 5106, "room": "119", "building": "Barton"}, {"facid": 9643, "lname": "Legendre", "fname": "Geraldine", "rank": "AssocProf", "sex": "F", "phone": 8972, "room": "288", "building": "Krieger"}, {"facid": 9811, "lname": "Wu", "fname": "Colin", "rank": "AsstProf", "sex": "M", "phone": 2906, "room": "288", "building": "Krieger"}, {"facid": 9823, "lname": "Pang", "fname": "Jong-Shi", "rank": "Professor", "sex": "M", "phone": 4366, "room": "288", "building": "Krieger"}, {"facid": 9824, "lname": "Glaser", "fname": "Robert", "rank": "Instructor", "sex": "M", "phone": 4396, "room": "119", "building": "Barton"}, {"facid": 9826, "lname": "Delcher", "fname": "Arthur", "rank": "Instructor", "sex": "M", "phone": 2956, "room": "329", "building": "NEB"}, {"facid": 9922, "lname": "Hall", "fname": "Leslie", "rank": "AsstProf", "sex": "F", "phone": 7332, "room": "288", "building": "Krieger"}]}, "correct_code": "-- Load college_3__member_of data\nmember_of = load(\"member_of\")\n |> select(facid, appt_type, dno)\n\nsummary = member_of\n |> group_by(appt_type)\n |> aggregate(avg_facid: avg(facid), count: count())\n\nresult = summary\n |> sort_by(avg_facid, asc)\n |> take(3)\n\nemit result", "buggy_code": "-- Load college_3__member_of data\nmember_of = load(\"member_of\")\n |> select(facid, appt_type, dno)\n\nsummary = member_of\n |> group_by(appt_type)\n aggregate(avg_facid: avg(facid), count: count())\n\nresult = summary\n |> sort_by(avg_facid, asc)\n |> take(3)\n\nemit result", "expected_output": [{"appt_type": "Primary", "avg_facid": 6473.3448275862065, "count": 58}, {"appt_type": "Secondary", "avg_facid": 8198.6, "count": 5}], "bug_info": [{"category": "syntax", "description": "Missing pipe operator '|>'", "line_num": 7, "original": "|> aggregate(avg_facid: avg(facid), count: count())", "mutated": "aggregate(avg_facid: avg(facid), count: count())"}], "difficulty": "easy", "domain": "college_3__member_of", "num_nodes": 3, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_hard | {"datasets": {"teaches": [{"id": "34175", "course_id": "747", "sec_id": "1", "semester": "Spring", "year": 2004}, {"id": "3199", "course_id": "169", "sec_id": "1", "semester": "Spring", "year": 2007}, {"id": "6569", "course_id": "445", "sec_id": "1", "semester": "Spring", "year": 2001}, {"id": "28097", "course_id": "808", "sec_id": "1", "semester": "Fall", "year": 2003}, {"id": "22591", "course_id": "962", "sec_id": "1", "semester": "Spring", "year": 2008}, {"id": "90376", "course_id": "158", "sec_id": "1", "semester": "Fall", "year": 2008}, {"id": "3199", "course_id": "561", "sec_id": "1", "semester": "Fall", "year": 2006}, {"id": "34175", "course_id": "274", "sec_id": "1", "semester": "Fall", "year": 2002}, {"id": "34175", "course_id": "571", "sec_id": "1", "semester": "Spring", "year": 2004}, {"id": "79081", "course_id": "345", "sec_id": "1", "semester": "Spring", 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"180", "time_slot_id": "A"}, {"course_id": "960", "sec_id": "2", "semester": "Fall", "year": 2006, "building": "Power", "room_number": "717", "time_slot_id": "M"}, {"course_id": "571", "sec_id": "1", "semester": "Spring", "year": 2004, "building": "Power", "room_number": "972", "time_slot_id": "I"}, {"course_id": "468", "sec_id": "2", "semester": "Fall", "year": 2007, "building": "Power", "room_number": "717", "time_slot_id": "L"}, {"course_id": "735", "sec_id": "2", "semester": "Spring", "year": 2010, "building": "Taylor", "room_number": "183", "time_slot_id": "D"}, {"course_id": "169", "sec_id": "2", "semester": "Fall", "year": 2002, "building": "Drown", "room_number": "757", "time_slot_id": "L"}, {"course_id": "496", "sec_id": "1", "semester": "Fall", "year": 2001, "building": "Taylor", "room_number": "812", "time_slot_id": "I"}, {"course_id": "200", "sec_id": "2", "semester": "Fall", "year": 2002, "building": "Chandler", "room_number": "375", "time_slot_id": "D"}, {"course_id": "875", "sec_id": "1", "semester": "Spring", "year": 2005, "building": "Power", "room_number": "717", "time_slot_id": "P"}, {"course_id": "603", "sec_id": "1", "semester": "Fall", "year": 2003, "building": "Taylor", "room_number": "812", "time_slot_id": "P"}, {"course_id": "408", "sec_id": "2", "semester": "Spring", "year": 2003, "building": "Taylor", "room_number": "183", "time_slot_id": "J"}, {"course_id": "338", "sec_id": "2", "semester": "Spring", "year": 2006, "building": "Stabler", "room_number": "105", "time_slot_id": "J"}, {"course_id": "864", "sec_id": "1", "semester": "Spring", "year": 2006, "building": "Power", "room_number": "972", "time_slot_id": "D"}]}, "correct_code": "-- Load college_2__teaches data\nteaches = load(\"teaches\")\n\nfiltered_teaches = teaches\n |> filter(id == \"80759\")\n\nsummary = filtered_teaches\n |> group_by(course_id)\n |> aggregate(avg_year: avg(year), count: count())\n\nresult = summary\n |> sort_by(count, desc)\n |> take(3)\n\nemit result", "buggy_code": "-- Load college_2__teaches data\nteaches = load(\"teaches\")\n\nfiltered_teaches = teaches\n |> filter(id == \"8075\")\n\nsummary = filtered_teaches\n |> group_by(course_id)\n |> aggregate(avg_year: avg(year), count: count())\n\nresult = summary\n |> sort_by(count, desc)\n |> take(3)\n\nemit result", "expected_output": [{"course_id": "559", "avg_year": 2002.0, "count": 1}], "bug_info": [{"category": "logic_bug", "description": "Wrong filter value: '80759' \u2192 '8075'", "line_num": 5, "original": "|> filter(id == \"80759\")", "mutated": "|> filter(id == \"8075\")"}], "difficulty": "hard", "domain": "college_2__teaches", "num_nodes": 4, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_medium | {"datasets": {"problem_log": [{"problem_log_id": 1, "assigned_to_staff_id": 11, "problem_id": 11, "problem_category_code": "Middleware", "problem_status_code": "Solved", "log_entry_date": "2011-03-13 13:11:57", "log_entry_description": "t", "log_entry_fix": "k", "other_log_details": "p"}, {"problem_log_id": 2, "assigned_to_staff_id": 11, "problem_id": 8, "problem_category_code": "GUI", "problem_status_code": "Solved", "log_entry_date": "1976-03-31 14:03:02", "log_entry_description": "a", "log_entry_fix": "k", "other_log_details": "s"}, {"problem_log_id": 3, "assigned_to_staff_id": 12, "problem_id": 1, "problem_category_code": "GUI", "problem_status_code": "Solved", "log_entry_date": "1974-12-11 01:06:22", "log_entry_description": "b", "log_entry_fix": "j", "other_log_details": "e"}, {"problem_log_id": 4, "assigned_to_staff_id": 12, "problem_id": 12, "problem_category_code": "GUI", "problem_status_code": "Reported", "log_entry_date": "1993-04-02 11:07:29", "log_entry_description": "a", "log_entry_fix": "t", "other_log_details": "b"}, {"problem_log_id": 5, "assigned_to_staff_id": 6, "problem_id": 12, "problem_category_code": "Middleware", "problem_status_code": "Reported", "log_entry_date": "1976-09-17 09:01:12", "log_entry_description": "c", "log_entry_fix": "n", "other_log_details": "u"}, {"problem_log_id": 6, "assigned_to_staff_id": 2, "problem_id": 13, "problem_category_code": "GUI", "problem_status_code": "Solved", "log_entry_date": "1983-07-01 02:12:36", "log_entry_description": "h", "log_entry_fix": "g", "other_log_details": "n"}, {"problem_log_id": 7, "assigned_to_staff_id": 13, "problem_id": 1, "problem_category_code": "Datatabase", "problem_status_code": "Solved", "log_entry_date": "1974-09-13 00:37:26", "log_entry_description": "s", "log_entry_fix": "c", "other_log_details": "v"}, {"problem_log_id": 8, "assigned_to_staff_id": 4, "problem_id": 15, "problem_category_code": "Datatabase", "problem_status_code": "Solved", "log_entry_date": "1999-08-17 00:00:18", "log_entry_description": "j", "log_entry_fix": "h", "other_log_details": "j"}, {"problem_log_id": 9, "assigned_to_staff_id": 10, "problem_id": 13, "problem_category_code": "GUI", "problem_status_code": "Reported", "log_entry_date": "1993-06-21 22:33:35", "log_entry_description": "p", "log_entry_fix": "i", "other_log_details": "f"}, {"problem_log_id": 10, "assigned_to_staff_id": 6, "problem_id": 1, "problem_category_code": "Middleware", "problem_status_code": "Reported", "log_entry_date": "2001-05-14 10:03:53", "log_entry_description": "d", "log_entry_fix": "x", "other_log_details": "d"}, {"problem_log_id": 11, "assigned_to_staff_id": 1, "problem_id": 8, "problem_category_code": "Datatabase", "problem_status_code": "Solved", "log_entry_date": "1973-03-12 16:30:50", "log_entry_description": "w", "log_entry_fix": "k", "other_log_details": "a"}, {"problem_log_id": 12, "assigned_to_staff_id": 4, "problem_id": 10, "problem_category_code": "Middleware", "problem_status_code": "Solved", "log_entry_date": "1997-08-31 08:19:12", "log_entry_description": "c", "log_entry_fix": "y", "other_log_details": "c"}, {"problem_log_id": 13, "assigned_to_staff_id": 6, "problem_id": 10, "problem_category_code": "Middleware", "problem_status_code": "Reported", "log_entry_date": "2009-04-10 19:09:30", "log_entry_description": "q", "log_entry_fix": "t", "other_log_details": "o"}, {"problem_log_id": 14, "assigned_to_staff_id": 8, "problem_id": 4, "problem_category_code": "Datatabase", "problem_status_code": "Reported", "log_entry_date": "2011-11-12 23:30:53", "log_entry_description": "a", "log_entry_fix": "s", "other_log_details": "c"}, {"problem_log_id": 15, "assigned_to_staff_id": 5, "problem_id": 7, "problem_category_code": "GUI", "problem_status_code": "Reported", "log_entry_date": "1982-11-17 06:05:52", "log_entry_description": "v", "log_entry_fix": "o", "other_log_details": "d"}], "problem_category_codes": [{"problem_category_code": "Datatabase", "problem_category_description": "Database design or contents."}, {"problem_category_code": "GUI", "problem_category_description": "User Interface."}, {"problem_category_code": "Middleware", "problem_category_description": "Infrastructrure and Architecture"}]}, "correct_code": "-- Load tracking_software_problems__problem_log data\nproblem_log = load(\"problem_log\")\n\nfiltered_problem_log = problem_log\n |> filter(other_log_details == \"d\")\n |> select(problem_category_code, other_log_details, problem_log_id, problem_id, assigned_to_staff_id)\n |> compute(computed_val: assigned_to_staff_id * problem_id)\n\nresult = filtered_problem_log\n |> sort_by(problem_id, asc)\n |> take(3)\n\nemit result", "buggy_code": "-- Load tracking_software_problems__problem_log data\nproblem_log = load(\"problem_log\")\n\nfiltered_problem_log = problem_log\n |> filter(other_log_details > \"d\")\n |> select(problem_category_code, other_log_details, problem_log_id, problem_id, assigned_to_staff_id)\n |> compute(computed_val: assigned_to_staff_id * problem_id)\n\nresult = filtered_problem_log\n |> sort_by(problem_id, asc)\n |> take(3)\n\nemit result", "expected_output": [{"problem_category_code": "Middleware", "other_log_details": "d", "problem_log_id": 10, "problem_id": 1, "assigned_to_staff_id": 6, "computed_val": 6}, {"problem_category_code": "GUI", "other_log_details": "d", "problem_log_id": 15, "problem_id": 7, "assigned_to_staff_id": 5, "computed_val": 35}], "bug_info": [{"category": "wrong_arg", "description": "Wrong comparison operator: '==' \u2192 '>'", "line_num": 5, "original": "|> filter(other_log_details == \"d\")", "mutated": "|> filter(other_log_details > \"d\")"}], "difficulty": "medium", "domain": "tracking_software_problems__problem_log", "num_nodes": 3, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_medium | {"datasets": {"section": [{"course_id": "313", "sec_id": "1", "semester": "Fall", "year": 2010, "building": "Chandler", "room_number": "804", "time_slot_id": "N"}, {"course_id": "747", "sec_id": "1", "semester": "Spring", "year": 2004, "building": "Gates", "room_number": "314", "time_slot_id": "K"}, {"course_id": "443", "sec_id": "1", "semester": "Spring", "year": 2010, "building": "Whitman", "room_number": "434", "time_slot_id": "O"}, {"course_id": "893", "sec_id": "1", "semester": "Fall", "year": 2007, "building": "Fairchild", "room_number": "145", "time_slot_id": "B"}, {"course_id": "663", "sec_id": "1", "semester": "Spring", "year": 2005, "building": "Fairchild", "room_number": "145", "time_slot_id": "D"}, {"course_id": "457", "sec_id": "1", "semester": "Spring", "year": 2001, "building": "Saucon", "room_number": "844", "time_slot_id": "D"}, {"course_id": "445", "sec_id": "1", "semester": "Spring", "year": 2001, "building": "Alumni", "room_number": "547", "time_slot_id": "J"}, {"course_id": "559", "sec_id": "1", "semester": "Fall", "year": 2002, "building": "Lamberton", "room_number": "134", "time_slot_id": "J"}, {"course_id": "239", "sec_id": "1", "semester": "Fall", "year": 2006, "building": "Taylor", "room_number": "183", "time_slot_id": "C"}, {"course_id": "802", "sec_id": "1", "semester": "Spring", "year": 2003, "building": "Saucon", "room_number": "113", "time_slot_id": "J"}, {"course_id": "158", "sec_id": "1", "semester": "Fall", "year": 2008, "building": "Whitman", "room_number": "434", "time_slot_id": "F"}, {"course_id": "735", "sec_id": "1", "semester": "Spring", "year": 2003, "building": "Drown", "room_number": "757", "time_slot_id": "D"}, {"course_id": "237", "sec_id": "1", "semester": "Spring", "year": 2008, "building": "Power", "room_number": "717", "time_slot_id": "D"}, {"course_id": "338", "sec_id": "1", "semester": "Spring", "year": 2007, "building": "Fairchild", "room_number": "145", "time_slot_id": "G"}, {"course_id": "376", "sec_id": "1", "semester": "Fall", "year": 2006, "building": "Power", "room_number": "717", "time_slot_id": "K"}, {"course_id": "927", "sec_id": "1", "semester": "Fall", "year": 2002, "building": "Saucon", "room_number": "180", "time_slot_id": "F"}, {"course_id": "692", "sec_id": "1", "semester": "Spring", "year": 2010, "building": "Taylor", "room_number": "183", "time_slot_id": "I"}, {"course_id": "867", "sec_id": "1", "semester": "Fall", "year": 2006, "building": "Taylor", "room_number": "183", "time_slot_id": "E"}, {"course_id": "561", "sec_id": "1", "semester": "Fall", "year": 2006, "building": "Main", "room_number": "45", "time_slot_id": "L"}, {"course_id": "604", "sec_id": "1", "semester": "Spring", "year": 2009, "building": "Bronfman", "room_number": "700", "time_slot_id": "N"}, {"course_id": "974", "sec_id": "1", "semester": "Fall", "year": 2003, "building": "Polya", "room_number": "808", "time_slot_id": "H"}, {"course_id": "959", "sec_id": "1", "semester": "Fall", "year": 2006, "building": "Saucon", "room_number": "180", "time_slot_id": "M"}, {"course_id": "702", "sec_id": "1", "semester": "Spring", "year": 2001, "building": "Saucon", "room_number": "113", "time_slot_id": "O"}, {"course_id": "631", "sec_id": "1", "semester": "Spring", "year": 2007, "building": "Taylor", "room_number": "183", "time_slot_id": "E"}, {"course_id": "334", "sec_id": "1", "semester": "Fall", "year": 2009, "building": "Taylor", "room_number": "812", "time_slot_id": "O"}, {"course_id": "274", "sec_id": "1", "semester": "Fall", "year": 2002, "building": "Main", "room_number": "425", "time_slot_id": "N"}, {"course_id": "366", "sec_id": "1", "semester": "Fall", "year": 2005, "building": "Saucon", "room_number": "844", "time_slot_id": "O"}, {"course_id": "545", "sec_id": "1", "semester": "Fall", "year": 2001, "building": "Saucon", "room_number": "180", "time_slot_id": "P"}, {"course_id": "486", "sec_id": "1", "semester": "Fall", "year": 2009, "building": "Whitman", "room_number": "134", "time_slot_id": "K"}, {"course_id": "426", "sec_id": "1", "semester": "Spring", "year": 2006, "building": "Lamberton", "room_number": "134", "time_slot_id": "G"}, {"course_id": "258", "sec_id": "1", "semester": "Fall", "year": 2007, "building": "Main", "room_number": "45", "time_slot_id": "K"}, {"course_id": "972", "sec_id": "1", "semester": "Spring", "year": 2009, "building": "Taylor", "room_number": "183", "time_slot_id": "J"}, {"course_id": "349", "sec_id": "1", "semester": "Spring", "year": 2008, "building": "Saucon", "room_number": "113", "time_slot_id": "K"}, {"course_id": "415", "sec_id": "1", "semester": "Fall", "year": 2010, "building": "Lamberton", "room_number": "134", "time_slot_id": "D"}, {"course_id": "137", "sec_id": "1", "semester": "Spring", "year": 2002, "building": "Fairchild", "room_number": "145", "time_slot_id": "I"}, {"course_id": "304", "sec_id": "1", "semester": "Fall", "year": 2009, "building": "Lamberton", "room_number": "143", "time_slot_id": "H"}, {"course_id": "468", "sec_id": "1", "semester": "Fall", "year": 2005, "building": "Lambeau", "room_number": "348", "time_slot_id": "J"}, {"course_id": "748", "sec_id": "1", "semester": "Fall", "year": 2003, "building": "Saucon", "room_number": "180", "time_slot_id": "L"}, {"course_id": "694", "sec_id": "1", "semester": "Fall", "year": 2002, "building": "Alumni", "room_number": "143", "time_slot_id": "O"}, {"course_id": "345", "sec_id": "1", "semester": "Spring", "year": 2008, "building": "Taylor", "room_number": "183", "time_slot_id": "A"}, {"course_id": "352", "sec_id": "1", "semester": "Spring", "year": 2006, "building": "Lambeau", "room_number": "348", "time_slot_id": "M"}, {"course_id": "581", "sec_id": "1", "semester": "Spring", "year": 2005, "building": "Alumni", "room_number": "547", "time_slot_id": "G"}, {"course_id": "493", "sec_id": "1", "semester": "Spring", "year": 2010, "building": "Lamberton", "room_number": "134", "time_slot_id": "H"}, {"course_id": "795", "sec_id": "1", "semester": "Spring", "year": 2004, "building": "Lamberton", "room_number": "143", "time_slot_id": "D"}, {"course_id": "793", "sec_id": "1", "semester": "Spring", "year": 2002, "building": "Nassau", "room_number": "45", "time_slot_id": "F"}, {"course_id": "237", "sec_id": "2", "semester": "Fall", "year": 2009, "building": "Fairchild", "room_number": "145", "time_slot_id": "J"}, {"course_id": "362", "sec_id": "1", "semester": "Fall", "year": 2005, "building": "Lamberton", "room_number": "143", "time_slot_id": "I"}, {"course_id": "642", "sec_id": "1", "semester": "Fall", "year": 2004, "building": "Saucon", "room_number": "113", "time_slot_id": "D"}, {"course_id": "808", "sec_id": "1", "semester": "Fall", "year": 2003, "building": "Polya", "room_number": "808", "time_slot_id": "M"}, {"course_id": "679", "sec_id": "1", "semester": "Spring", "year": 2010, "building": "Saucon", "room_number": "844", "time_slot_id": "D"}, {"course_id": "629", "sec_id": "1", "semester": "Spring", "year": 2003, "building": "Stabler", "room_number": "105", "time_slot_id": "F"}, {"course_id": "400", "sec_id": "1", "semester": "Spring", "year": 2007, "building": "Lambeau", "room_number": "348", "time_slot_id": "M"}, {"course_id": "599", "sec_id": "1", "semester": "Spring", "year": 2003, "building": "Chandler", "room_number": "804", "time_slot_id": "D"}, {"course_id": "760", "sec_id": "1", "semester": "Spring", "year": 2004, "building": "Garfield", "room_number": "119", "time_slot_id": "A"}, {"course_id": "843", "sec_id": "1", "semester": "Fall", "year": 2010, "building": "Fairchild", "room_number": "145", "time_slot_id": "J"}, {"course_id": "200", "sec_id": "1", "semester": "Spring", "year": 2007, "building": "Saucon", "room_number": "180", "time_slot_id": "D"}, {"course_id": "443", "sec_id": "2", "semester": "Spring", "year": 2002, "building": "Gates", "room_number": "707", "time_slot_id": "K"}, {"course_id": "612", "sec_id": "1", "semester": "Fall", "year": 2007, "building": "Lamberton", "room_number": "143", "time_slot_id": "G"}, {"course_id": "169", "sec_id": "1", "semester": "Spring", "year": 2007, "building": "Gates", "room_number": "314", "time_slot_id": "A"}, {"course_id": "791", "sec_id": "1", "semester": "Spring", "year": 2006, "building": "Polya", "room_number": "808", "time_slot_id": "H"}, {"course_id": "867", "sec_id": "2", "semester": "Fall", "year": 2010, "building": "Lamberton", "room_number": "134", "time_slot_id": "M"}, {"course_id": "489", "sec_id": "1", "semester": "Fall", "year": 2007, "building": "Lamberton", "room_number": "143", "time_slot_id": "D"}, {"course_id": "158", "sec_id": "2", "semester": "Spring", "year": 2008, "building": "Taylor", "room_number": "812", "time_slot_id": "D"}, {"course_id": "242", "sec_id": "1", "semester": "Fall", "year": 2009, "building": "Fairchild", "room_number": "145", "time_slot_id": "C"}, {"course_id": "960", "sec_id": "1", "semester": "Fall", "year": 2009, "building": "Lamberton", "room_number": "134", "time_slot_id": "J"}, {"course_id": "421", "sec_id": "1", "semester": "Fall", "year": 2004, "building": "Gates", "room_number": "707", "time_slot_id": "E"}, {"course_id": "105", "sec_id": "1", "semester": "Fall", "year": 2009, "building": "Chandler", "room_number": "375", "time_slot_id": "C"}, {"course_id": "591", "sec_id": "1", "semester": "Spring", "year": 2005, "building": "Saucon", "room_number": "180", "time_slot_id": "F"}, {"course_id": "192", "sec_id": "1", "semester": "Fall", "year": 2002, "building": "Polya", "room_number": "808", "time_slot_id": "B"}, {"course_id": "362", "sec_id": "2", "semester": "Fall", "year": 2006, "building": "Alumni", "room_number": "547", "time_slot_id": "A"}, {"course_id": "270", "sec_id": "1", "semester": "Spring", "year": 2010, "building": "Power", "room_number": "717", "time_slot_id": "M"}, {"course_id": "461", "sec_id": "1", "semester": "Fall", "year": 2002, "building": "Main", "room_number": "425", "time_slot_id": "P"}, {"course_id": "704", "sec_id": "1", "semester": "Spring", "year": 2008, "building": "Taylor", "room_number": "812", "time_slot_id": "E"}, {"course_id": "626", "sec_id": "1", "semester": "Fall", "year": 2006, "building": "Lamberton", "room_number": "143", "time_slot_id": "B"}, {"course_id": "105", "sec_id": "2", "semester": "Fall", "year": 2002, "building": "Taylor", "room_number": "183", "time_slot_id": "C"}, {"course_id": "696", "sec_id": "1", "semester": "Spring", "year": 2002, "building": "Saucon", "room_number": "180", "time_slot_id": "E"}, {"course_id": "962", "sec_id": "1", "semester": "Spring", "year": 2008, "building": "Nassau", "room_number": "45", "time_slot_id": "L"}, {"course_id": "362", "sec_id": "3", "semester": "Spring", "year": 2008, "building": "Bronfman", "room_number": "700", "time_slot_id": "L"}, {"course_id": "852", "sec_id": "1", "semester": "Spring", "year": 2008, "building": "Gates", "room_number": "707", "time_slot_id": "F"}, {"course_id": "949", "sec_id": "1", "semester": "Fall", "year": 2007, "building": "Saucon", "room_number": "180", "time_slot_id": "B"}, {"course_id": "482", "sec_id": "1", "semester": "Fall", "year": 2005, "building": "Whitman", "room_number": "434", "time_slot_id": "H"}, {"course_id": "527", "sec_id": "1", "semester": "Fall", "year": 2004, "building": "Saucon", "room_number": "113", "time_slot_id": "M"}, {"course_id": "476", "sec_id": "1", "semester": "Fall", "year": 2010, "building": "Drown", "room_number": "757", "time_slot_id": "C"}, {"course_id": "991", "sec_id": "1", "semester": "Spring", "year": 2008, "building": "Lamberton", "room_number": "134", "time_slot_id": "J"}, {"course_id": "408", "sec_id": "1", "semester": "Spring", "year": 2007, "building": "Taylor", "room_number": "812", "time_slot_id": "C"}, {"course_id": "319", "sec_id": "1", "semester": "Spring", "year": 2003, "building": "Rathbone", "room_number": "261", "time_slot_id": "E"}, {"course_id": "400", "sec_id": "2", "semester": "Fall", "year": 2003, "building": "Main", "room_number": "425", "time_slot_id": "O"}, {"course_id": "401", "sec_id": "1", "semester": "Fall", "year": 2003, "building": "Saucon", "room_number": "180", "time_slot_id": "A"}, {"course_id": "960", "sec_id": "2", "semester": "Fall", "year": 2006, "building": "Power", "room_number": "717", "time_slot_id": "M"}, {"course_id": "571", "sec_id": "1", "semester": "Spring", "year": 2004, "building": "Power", "room_number": "972", "time_slot_id": "I"}, {"course_id": "468", "sec_id": "2", "semester": "Fall", "year": 2007, "building": "Power", "room_number": "717", "time_slot_id": "L"}, {"course_id": "735", "sec_id": "2", "semester": "Spring", "year": 2010, "building": "Taylor", "room_number": "183", "time_slot_id": "D"}, {"course_id": "169", "sec_id": "2", "semester": "Fall", "year": 2002, "building": "Drown", "room_number": "757", "time_slot_id": "L"}, {"course_id": "496", "sec_id": "1", "semester": "Fall", "year": 2001, "building": "Taylor", "room_number": "812", "time_slot_id": "I"}, {"course_id": "200", "sec_id": "2", "semester": "Fall", "year": 2002, "building": "Chandler", "room_number": "375", "time_slot_id": "D"}, {"course_id": "875", "sec_id": "1", "semester": "Spring", "year": 2005, "building": "Power", "room_number": "717", "time_slot_id": "P"}, {"course_id": "603", "sec_id": "1", "semester": "Fall", "year": 2003, "building": "Taylor", "room_number": "812", "time_slot_id": "P"}, {"course_id": "408", "sec_id": "2", "semester": "Spring", "year": 2003, "building": "Taylor", "room_number": "183", "time_slot_id": "J"}, {"course_id": "338", "sec_id": "2", "semester": "Spring", "year": 2006, "building": "Stabler", "room_number": "105", "time_slot_id": "J"}, {"course_id": "864", "sec_id": "1", "semester": "Spring", "year": 2006, "building": "Power", "room_number": "972", "time_slot_id": "D"}], "classroom": [{"building": "Lamberton", "room_number": "134", "capacity": 10}, {"building": "Chandler", "room_number": "375", "capacity": 10}, {"building": "Fairchild", "room_number": "145", "capacity": 27}, {"building": "Nassau", "room_number": "45", "capacity": 92}, {"building": "Grace", "room_number": "40", "capacity": 34}, {"building": "Whitman", "room_number": "134", "capacity": 120}, {"building": "Lamberton", "room_number": "143", "capacity": 10}, {"building": "Taylor", "room_number": "812", "capacity": 115}, {"building": "Saucon", "room_number": "113", "capacity": 109}, {"building": "Painter", "room_number": "86", "capacity": 97}, {"building": "Alumni", "room_number": "547", "capacity": 26}, {"building": "Alumni", "room_number": "143", "capacity": 47}, {"building": "Drown", "room_number": "757", "capacity": 18}, {"building": "Saucon", "room_number": "180", "capacity": 15}, {"building": "Whitman", "room_number": "434", "capacity": 32}, {"building": "Saucon", "room_number": "844", "capacity": 24}, {"building": "Bronfman", "room_number": "700", "capacity": 12}, {"building": "Polya", "room_number": "808", "capacity": 28}, {"building": "Gates", "room_number": "707", "capacity": 65}, {"building": "Gates", "room_number": "314", "capacity": 10}, {"building": "Main", "room_number": "45", "capacity": 30}, {"building": "Taylor", "room_number": "183", "capacity": 71}, {"building": "Power", "room_number": "972", "capacity": 10}, {"building": "Garfield", "room_number": "119", "capacity": 59}, {"building": "Rathbone", "room_number": "261", "capacity": 60}, {"building": "Stabler", "room_number": "105", "capacity": 113}, {"building": "Power", "room_number": "717", "capacity": 12}, {"building": "Main", "room_number": "425", "capacity": 22}, {"building": "Lambeau", "room_number": "348", "capacity": 51}, {"building": "Chandler", "room_number": "804", "capacity": 11}]}, "correct_code": "-- Load college_2__section data\nsection = load(\"section\")\n\nfiltered_section = section\n |> filter(year <= 2005)\n\nsummary = filtered_section\n |> group_by(building)\n |> aggregate(total_year: sum(year), count: count())\n\nresult = summary\n |> sort_by(total_year, asc)\n |> take(3)\n\nemit result", "buggy_code": "-- Load college_2__section data\nsection = load(\"section\")\n\nfiltered_section = section\n |> filter(year <= 2005)\n\nsummary = filtered_section\n |> group_by(building)\n |> aggregate(year: sum(year), count: count())\n\nresult = summary\n |> sort_by(total_year, asc)\n |> take(3)\n\nemit result", "expected_output": [{"building": "Nassau", "total_year": 2002, "count": 1}, {"building": "Stabler", "total_year": 2003, "count": 1}, {"building": "Rathbone", "total_year": 2003, "count": 1}], "bug_info": [{"category": "wrong_col", "description": "Wrong column reference: 'total_year' \u2192 'year'", "line_num": 9, "original": "|> aggregate(total_year: sum(year), count: count())", "mutated": "|> aggregate(year: sum(year), count: count())"}], "difficulty": "medium", "domain": "college_2__section", "num_nodes": 4, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_hard | {"datasets": {"seasons": [{"year": 1950, "url": "http://en.wikipedia.org/wiki/1950_Formula_One_season"}, {"year": 1951, "url": "http://en.wikipedia.org/wiki/1951_Formula_One_season"}, {"year": 1952, "url": "http://en.wikipedia.org/wiki/1952_Formula_One_season"}, {"year": 1953, "url": "http://en.wikipedia.org/wiki/1953_Formula_One_season"}, {"year": 1954, "url": "http://en.wikipedia.org/wiki/1954_Formula_One_season"}, {"year": 1955, "url": "http://en.wikipedia.org/wiki/1955_Formula_One_season"}, {"year": 1956, "url": "http://en.wikipedia.org/wiki/1956_Formula_One_season"}, {"year": 1957, "url": "http://en.wikipedia.org/wiki/1957_Formula_One_season"}, {"year": 1958, "url": "http://en.wikipedia.org/wiki/1958_Formula_One_season"}, {"year": 1959, "url": "http://en.wikipedia.org/wiki/1959_Formula_One_season"}, {"year": 1960, "url": "http://en.wikipedia.org/wiki/1960_Formula_One_season"}, {"year": 1961, "url": "http://en.wikipedia.org/wiki/1961_Formula_One_season"}, {"year": 1962, "url": "http://en.wikipedia.org/wiki/1962_Formula_One_season"}, {"year": 1963, "url": "http://en.wikipedia.org/wiki/1963_Formula_One_season"}, {"year": 1964, "url": "http://en.wikipedia.org/wiki/1964_Formula_One_season"}, {"year": 1965, "url": "http://en.wikipedia.org/wiki/1965_Formula_One_season"}, {"year": 1966, "url": "http://en.wikipedia.org/wiki/1966_Formula_One_season"}, {"year": 1967, "url": "http://en.wikipedia.org/wiki/1967_Formula_One_season"}, {"year": 1968, "url": "http://en.wikipedia.org/wiki/1968_Formula_One_season"}, {"year": 1969, "url": "http://en.wikipedia.org/wiki/1969_Formula_One_season"}, {"year": 1970, "url": "http://en.wikipedia.org/wiki/1970_Formula_One_season"}, {"year": 1971, "url": "http://en.wikipedia.org/wiki/1971_Formula_One_season"}, {"year": 1972, "url": "http://en.wikipedia.org/wiki/1972_Formula_One_season"}, {"year": 1973, "url": "http://en.wikipedia.org/wiki/1973_Formula_One_season"}, {"year": 1974, "url": "http://en.wikipedia.org/wiki/1974_Formula_One_season"}, {"year": 1975, "url": "http://en.wikipedia.org/wiki/1975_Formula_One_season"}, {"year": 1976, "url": "http://en.wikipedia.org/wiki/1976_Formula_One_season"}, {"year": 1977, "url": "http://en.wikipedia.org/wiki/1977_Formula_One_season"}, {"year": 1978, "url": "http://en.wikipedia.org/wiki/1978_Formula_One_season"}, {"year": 1979, "url": "http://en.wikipedia.org/wiki/1979_Formula_One_season"}, {"year": 1980, "url": "http://en.wikipedia.org/wiki/1980_Formula_One_season"}, {"year": 1981, "url": "http://en.wikipedia.org/wiki/1981_Formula_One_season"}, {"year": 1982, "url": "http://en.wikipedia.org/wiki/1982_Formula_One_season"}, {"year": 1983, "url": "http://en.wikipedia.org/wiki/1983_Formula_One_season"}, {"year": 1984, "url": "http://en.wikipedia.org/wiki/1984_Formula_One_season"}, {"year": 1985, "url": "http://en.wikipedia.org/wiki/1985_Formula_One_season"}, {"year": 1986, "url": "http://en.wikipedia.org/wiki/1986_Formula_One_season"}, {"year": 1987, "url": "http://en.wikipedia.org/wiki/1987_Formula_One_season"}, {"year": 1988, "url": "http://en.wikipedia.org/wiki/1988_Formula_One_season"}, {"year": 1989, "url": "http://en.wikipedia.org/wiki/1989_Formula_One_season"}, {"year": 1990, "url": "http://en.wikipedia.org/wiki/1990_Formula_One_season"}, {"year": 1991, "url": "http://en.wikipedia.org/wiki/1991_Formula_One_season"}, {"year": 1992, "url": "http://en.wikipedia.org/wiki/1992_Formula_One_season"}, {"year": 1993, "url": "http://en.wikipedia.org/wiki/1993_Formula_One_season"}, {"year": 1994, "url": "http://en.wikipedia.org/wiki/1994_Formula_One_season"}, {"year": 1995, "url": "http://en.wikipedia.org/wiki/1995_Formula_One_season"}, {"year": 1996, "url": "http://en.wikipedia.org/wiki/1996_Formula_One_season"}, {"year": 1997, "url": "http://en.wikipedia.org/wiki/1997_Formula_One_season"}, {"year": 1998, "url": "http://en.wikipedia.org/wiki/1998_Formula_One_season"}, {"year": 1999, "url": "http://en.wikipedia.org/wiki/1999_Formula_One_season"}, {"year": 2000, "url": "http://en.wikipedia.org/wiki/2000_Formula_One_season"}, {"year": 2001, "url": "http://en.wikipedia.org/wiki/2001_Formula_One_season"}, {"year": 2002, "url": "http://en.wikipedia.org/wiki/2002_Formula_One_season"}, {"year": 2003, "url": "http://en.wikipedia.org/wiki/2003_Formula_One_season"}, {"year": 2004, "url": "http://en.wikipedia.org/wiki/2004_Formula_One_season"}, {"year": 2005, "url": "http://en.wikipedia.org/wiki/2005_Formula_One_season"}, {"year": 2006, "url": "http://en.wikipedia.org/wiki/2006_Formula_One_season"}, {"year": 2007, "url": "http://en.wikipedia.org/wiki/2007_Formula_One_season"}, {"year": 2008, "url": "http://en.wikipedia.org/wiki/2008_Formula_One_season"}, {"year": 2009, "url": "http://en.wikipedia.org/wiki/2009_Formula_One_season"}, {"year": 2010, "url": "http://en.wikipedia.org/wiki/2010_Formula_One_season"}, {"year": 2011, "url": "http://en.wikipedia.org/wiki/2011_Formula_One_season"}, {"year": 2012, "url": "http://en.wikipedia.org/wiki/2012_Formula_One_season"}, {"year": 2013, "url": "http://en.wikipedia.org/wiki/2013_Formula_One_season"}, {"year": 2014, "url": "http://en.wikipedia.org/wiki/2014_Formula_One_season"}, {"year": 2015, "url": "http://en.wikipedia.org/wiki/2015_Formula_One_season"}, {"year": 2016, "url": "https://en.wikipedia.org/wiki/2016_Formula_One_season"}, {"year": 2017, "url": "https://en.wikipedia.org/wiki/2017_Formula_One_season"}, {"year": 2018, "url": "http://en.wikipedia.org/wiki/2018_FIA_Formula_One_World_Championship"}]}, "correct_code": "-- Load formula_1__seasons data\nseasons = load(\"seasons\")\n\nfiltered_seasons = seasons\n |> filter(url == \"http://en.wikipedia.org/wiki/1973_Formula_One_season\")\n\nsummary = filtered_seasons\n |> group_by(url)\n |> aggregate(avg_year: avg(year), count: count())\n\nresult = summary\n |> sort_by(count, desc)\n |> take(10)\n\nemit result", "buggy_code": "-- Load formula_1__seasons data\nseasons = load(\"seasons\")\n\nfiltered_seasons = seasons\n |> filter(url == \"http://en.wikipedia.org/wiki/1973_Formula_One_seaso\")\n\nsummary = filtered_seasons\n |> group_by(url)\n |> aggregate(avg_year: avg(year), count: count())\n\nresult = summary\n |> sort_by(count, desc)\n |> take(10)\n\nemit result", "expected_output": [{"url": "http://en.wikipedia.org/wiki/1973_Formula_One_season", "avg_year": 1973.0, "count": 1}], "bug_info": [{"category": "logic_bug", "description": "Wrong filter value: 'http://en.wikipedia.org/wiki/1973_Formula_One_season' \u2192 'http://en.wikipedia.org/wiki/1973_Formula_One_seaso'", "line_num": 5, "original": "|> filter(url == \"http://en.wikipedia.org/wiki/1973_Formula_One_season\")", "mutated": "|> filter(url == \"http://en.wikipedia.org/wiki/1973_Formula_One_seaso\")"}], "difficulty": "hard", "domain": "formula_1__seasons", "num_nodes": 4, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_medium | {"datasets": {"student": [{"stuid": 1001, "lname": "Smith", "fname": "Linda", "age": 18, "sex": "F", "major": 600, "advisor": 1121, "city_code": "BAL"}, {"stuid": 1002, "lname": "Kim", "fname": "Tracy", "age": 19, "sex": "F", "major": 600, "advisor": 7712, "city_code": "HKG"}, {"stuid": 1003, "lname": "Jones", "fname": "Shiela", "age": 21, "sex": "F", "major": 600, "advisor": 7792, "city_code": "WAS"}, {"stuid": 1004, "lname": "Kumar", "fname": "Dinesh", "age": 20, "sex": "M", "major": 600, "advisor": 8423, "city_code": "CHI"}, {"stuid": 1005, "lname": "Gompers", "fname": "Paul", "age": 26, "sex": "M", "major": 600, "advisor": 1121, "city_code": "YYZ"}, {"stuid": 1006, "lname": "Schultz", "fname": "Andy", "age": 18, "sex": "M", "major": 600, "advisor": 1148, "city_code": "BAL"}, {"stuid": 1007, "lname": "Apap", "fname": "Lisa", "age": 18, "sex": "F", "major": 600, "advisor": 8918, "city_code": "PIT"}, {"stuid": 1008, "lname": "Nelson", "fname": "Jandy", "age": 20, "sex": "F", "major": 600, "advisor": 9172, "city_code": "BAL"}, {"stuid": 1009, "lname": "Tai", "fname": "Eric", "age": 19, "sex": "M", "major": 600, "advisor": 2192, "city_code": "YYZ"}, {"stuid": 1010, "lname": "Lee", "fname": "Derek", "age": 17, "sex": "M", "major": 600, "advisor": 2192, "city_code": "HOU"}, {"stuid": 1011, "lname": "Adams", "fname": "David", "age": 22, "sex": "M", "major": 600, "advisor": 1148, "city_code": "PHL"}, {"stuid": 1012, "lname": "Davis", "fname": "Steven", "age": 20, "sex": "M", "major": 600, "advisor": 7723, "city_code": "PIT"}, {"stuid": 1014, "lname": "Norris", "fname": "Charles", "age": 18, "sex": "M", "major": 600, "advisor": 8741, "city_code": "DAL"}, {"stuid": 1015, "lname": "Lee", "fname": "Susan", "age": 16, "sex": "F", "major": 600, "advisor": 8721, "city_code": "HKG"}, {"stuid": 1016, "lname": "Schwartz", "fname": "Mark", "age": 17, "sex": "M", "major": 600, "advisor": 2192, "city_code": "DET"}, {"stuid": 1017, "lname": "Wilson", "fname": "Bruce", "age": 27, "sex": "M", "major": 600, "advisor": 1148, "city_code": "LON"}, {"stuid": 1018, "lname": "Leighton", "fname": "Michael", "age": 20, "sex": "M", "major": 600, "advisor": 1121, "city_code": "PIT"}, {"stuid": 1019, "lname": "Pang", "fname": "Arthur", "age": 18, "sex": "M", "major": 600, "advisor": 2192, "city_code": "WAS"}, {"stuid": 1020, "lname": "Thornton", "fname": "Ian", "age": 22, "sex": "M", "major": 520, "advisor": 7271, "city_code": "NYC"}, {"stuid": 1021, "lname": "Andreou", "fname": "George", "age": 19, "sex": "M", "major": 520, "advisor": 8722, "city_code": "NYC"}, {"stuid": 1022, "lname": "Woods", "fname": "Michael", "age": 17, "sex": "M", "major": 540, "advisor": 8722, "city_code": "PHL"}, {"stuid": 1023, "lname": "Shieber", "fname": "David", "age": 20, "sex": "M", "major": 520, "advisor": 8722, "city_code": "NYC"}, {"stuid": 1024, "lname": "Prater", "fname": "Stacy", "age": 18, "sex": "F", "major": 540, "advisor": 7271, "city_code": "BAL"}, {"stuid": 1025, "lname": "Goldman", "fname": "Mark", "age": 18, "sex": "M", "major": 520, "advisor": 7134, "city_code": "PIT"}, {"stuid": 1026, "lname": "Pang", "fname": "Eric", "age": 19, "sex": "M", "major": 520, "advisor": 7134, "city_code": "HKG"}, {"stuid": 1027, "lname": "Brody", "fname": "Paul", "age": 18, "sex": "M", "major": 520, "advisor": 8723, "city_code": "LOS"}, {"stuid": 1028, "lname": "Rugh", "fname": "Eric", "age": 20, "sex": "M", "major": 550, "advisor": 2311, "city_code": "ROC"}, {"stuid": 1029, "lname": "Han", "fname": "Jun", "age": 17, "sex": "M", "major": 100, "advisor": 2311, "city_code": "PEK"}, {"stuid": 1030, "lname": "Cheng", "fname": "Lisa", "age": 21, "sex": "F", "major": 550, "advisor": 2311, "city_code": "SFO"}, {"stuid": 1031, "lname": "Smith", "fname": "Sarah", "age": 20, "sex": "F", "major": 550, "advisor": 8772, "city_code": "PHL"}, {"stuid": 1032, "lname": "Brown", "fname": "Eric", "age": 20, "sex": "M", "major": 550, "advisor": 8772, "city_code": "ATL"}, {"stuid": 1033, "lname": "Simms", "fname": "William", "age": 18, "sex": "M", "major": 550, "advisor": 8772, "city_code": "NAR"}, {"stuid": 1034, "lname": "Epp", "fname": "Eric", "age": 18, "sex": "M", "major": 50, "advisor": 5718, "city_code": "BOS"}, {"stuid": 1035, "lname": "Schmidt", "fname": "Sarah", "age": 26, "sex": "F", "major": 50, "advisor": 5718, "city_code": "WAS"}], "sportsinfo": [{"stuid": 1001, "sportname": "Athletics", "hoursperweek": 2, "gamesplayed": 5, "onscholarship": "N"}, {"stuid": 1002, "sportname": "Football", "hoursperweek": 7, "gamesplayed": 20, "onscholarship": "Y"}, {"stuid": 1003, "sportname": "Football", "hoursperweek": 45, "gamesplayed": 18, "onscholarship": "Y"}, {"stuid": 1005, "sportname": "Lacrosse", "hoursperweek": 35, "gamesplayed": 16, "onscholarship": "N"}, {"stuid": 1015, "sportname": "Lacrosse", "hoursperweek": 25, "gamesplayed": 41, "onscholarship": "Y"}, {"stuid": 1018, "sportname": "Lacrosse", "hoursperweek": 39, "gamesplayed": 25, "onscholarship": "N"}, {"stuid": 1019, "sportname": "Swimming", "hoursperweek": 8, "gamesplayed": 16, "onscholarship": "Y"}, {"stuid": 1019, "sportname": "Tennis", "hoursperweek": 19, "gamesplayed": 62, "onscholarship": "N"}, {"stuid": 1022, "sportname": "Baseball", "hoursperweek": 29, "gamesplayed": 31, "onscholarship": "N"}, {"stuid": 1023, "sportname": "Basketball", "hoursperweek": 14, "gamesplayed": 8, "onscholarship": "Y"}, {"stuid": 1023, "sportname": "Tennis", "hoursperweek": 1, "gamesplayed": 56, "onscholarship": "Y"}, {"stuid": 1026, "sportname": "Cricket", "hoursperweek": 23, "gamesplayed": 37, "onscholarship": "Y"}, {"stuid": 1033, "sportname": "Soccer", "hoursperweek": 45, "gamesplayed": 45, "onscholarship": "Y"}, {"stuid": 1035, "sportname": "Curling", "hoursperweek": 50, "gamesplayed": 94, "onscholarship": "N"}]}, "correct_code": "-- Load game_1__student data\nstudent = load(\"student\")\n\nfiltered_student = student\n |> filter(sex == \"F\")\n\nsummary = filtered_student\n |> group_by(city_code)\n |> aggregate(avg_stuid: avg(stuid), count: count())\n |> compute(computed_val: avg_stuid - count)\n\nresult = summary\n |> sort_by(count, asc)\n |> take(10)\n\nemit result", "buggy_code": "-- Load game_1__student data\nstudent = load(\"student\")\n\nfiltered_student = student\n |> filter(sex == \"Fs\")\n\nsummary = filtered_student\n |> group_by(city_code)\n |> aggregate(avg_stuid: avg(stuid), count: count())\n |> compute(computed_val: avg_stuid - count)\n\nresult = summary\n |> sort_by(count, desc)\n |> take(10)\n\nemit result", "expected_output": [{"city_code": "PIT", "avg_stuid": 1007.0, "count": 1, "computed_val": 1006.0}, {"city_code": "SFO", "avg_stuid": 1030.0, "count": 1, "computed_val": 1029.0}, {"city_code": "PHL", "avg_stuid": 1031.0, "count": 1, "computed_val": 1030.0}, {"city_code": "HKG", "avg_stuid": 1008.5, "count": 2, "computed_val": 1006.5}, {"city_code": "WAS", "avg_stuid": 1019.0, "count": 2, "computed_val": 1017.0}, {"city_code": "BAL", "avg_stuid": 1011.0, "count": 3, "computed_val": 1008.0}], "bug_info": [{"category": "wrong_arg", "description": "Wrong sort order: 'asc' \u2192 'desc'", "line_num": 13, "original": "|> sort_by(count, asc)", "mutated": "|> sort_by(count, desc)"}, {"category": "logic_bug", "description": "Wrong filter value: 'F' \u2192 'Fs'", "line_num": 5, "original": "|> filter(sex == \"F\")", "mutated": "|> filter(sex == \"Fs\")"}], "difficulty": "medium", "domain": "game_1__student", "num_nodes": 4, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_hard | {"datasets": {"advisor": [{"s_id": "24746", "i_id": "19368"}, {"s_id": "79352", "i_id": "95030"}, {"s_id": "76672", "i_id": "22591"}, {"s_id": "14182", "i_id": "77346"}, {"s_id": "44985", "i_id": "31955"}, {"s_id": "96052", "i_id": "73623"}, {"s_id": "35175", "i_id": "90643"}, {"s_id": "44271", "i_id": "58558"}, {"s_id": "40897", "i_id": "73623"}, {"s_id": "92839", "i_id": "25946"}, {"s_id": "79329", "i_id": "58558"}, {"s_id": "97101", "i_id": "48570"}, {"s_id": "24865", "i_id": "6569"}, {"s_id": "36052", "i_id": "31955"}, {"s_id": "98940", "i_id": "99052"}, {"s_id": "21395", "i_id": "58558"}, {"s_id": "55859", "i_id": "28097"}, {"s_id": "74016", "i_id": "74420"}, {"s_id": "93061", "i_id": "64871"}, {"s_id": "94998", "i_id": "50330"}, {"s_id": "30772", "i_id": "57180"}, {"s_id": "1968", "i_id": "3335"}, {"s_id": "90567", "i_id": "48507"}, {"s_id": "49611", "i_id": "58558"}, {"s_id": "81538", "i_id": "59795"}, {"s_id": "68999", "i_id": "6569"}, {"s_id": "74639", "i_id": "41930"}, {"s_id": "66054", "i_id": "25946"}, {"s_id": "792", "i_id": "48507"}, {"s_id": "60267", "i_id": "81991"}, {"s_id": "17769", "i_id": "36897"}, {"s_id": "39580", "i_id": "3199"}, {"s_id": "89106", "i_id": "15347"}, {"s_id": "37856", "i_id": "25946"}, {"s_id": "58307", "i_id": "48507"}, {"s_id": "57985", "i_id": "52647"}, {"s_id": "72014", "i_id": "22591"}, {"s_id": "2795", "i_id": "28400"}, {"s_id": "89000", "i_id": "58558"}, {"s_id": "46442", "i_id": "48570"}, {"s_id": "60040", "i_id": "15347"}, {"s_id": "19791", "i_id": "59795"}, {"s_id": "4582", "i_id": "64871"}, {"s_id": "108", "i_id": "77346"}, {"s_id": "1533", "i_id": "50885"}, {"s_id": "7123", "i_id": "65931"}, {"s_id": "44584", "i_id": "64871"}, {"s_id": "32954", "i_id": "90376"}, {"s_id": "98056", "i_id": "73623"}, {"s_id": "76953", "i_id": "79081"}, {"s_id": "81884", "i_id": "3199"}, {"s_id": "22057", "i_id": "48507"}, {"s_id": "21126", "i_id": "52647"}, {"s_id": "82918", "i_id": "81991"}, {"s_id": "4173", "i_id": "25946"}, {"s_id": "83022", "i_id": "64871"}, {"s_id": "25525", "i_id": "96895"}, {"s_id": "75040", "i_id": "80759"}, {"s_id": "31624", "i_id": "41930"}, {"s_id": "64893", "i_id": "96895"}, {"s_id": "59920", "i_id": "72553"}, {"s_id": "38602", "i_id": "77346"}, {"s_id": "21401", "i_id": "79081"}, {"s_id": "93004", "i_id": "15347"}, {"s_id": "38899", "i_id": "37687"}, {"s_id": "75241", "i_id": "28097"}, {"s_id": "98830", "i_id": "80759"}, {"s_id": "37101", "i_id": "80759"}, {"s_id": "4508", "i_id": "28097"}, {"s_id": "32130", "i_id": "16807"}, {"s_id": "56755", "i_id": "79653"}, {"s_id": "11510", "i_id": "95709"}, {"s_id": "3335", "i_id": "74420"}, {"s_id": "61081", "i_id": "80759"}, {"s_id": "33651", "i_id": "96895"}, {"s_id": "8251", "i_id": "73623"}, {"s_id": "10705", "i_id": "6569"}, {"s_id": "64082", "i_id": "74426"}, {"s_id": "59517", "i_id": "34175"}, {"s_id": "91569", "i_id": "14365"}, {"s_id": "88085", "i_id": "28400"}, {"s_id": "96722", "i_id": "58558"}, {"s_id": "36379", "i_id": "42782"}, {"s_id": "69581", "i_id": "25946"}, {"s_id": "65329", "i_id": "3335"}, {"s_id": "49214", "i_id": "4034"}, {"s_id": "64155", "i_id": "36897"}, {"s_id": "58594", "i_id": "74420"}, {"s_id": "71904", "i_id": "95030"}, {"s_id": "69241", "i_id": "72553"}, {"s_id": "58889", "i_id": "3335"}, {"s_id": "30341", "i_id": "79081"}, {"s_id": "70688", "i_id": "97302"}, {"s_id": "81258", "i_id": "58558"}, {"s_id": "63090", "i_id": "25946"}, {"s_id": "70572", "i_id": "35579"}, {"s_id": "58413", "i_id": "28400"}, {"s_id": "93171", "i_id": "6569"}, {"s_id": "35138", "i_id": "41930"}, {"s_id": "77289", "i_id": "59795"}, {"s_id": "93571", "i_id": "57180"}, {"s_id": "14554", "i_id": "22591"}, {"s_id": "46725", "i_id": "90376"}, {"s_id": "99730", "i_id": "3199"}, {"s_id": "10527", "i_id": "36897"}, {"s_id": "898", "i_id": "22591"}, {"s_id": "64297", "i_id": "43779"}, {"s_id": "10204", "i_id": "65931"}, {"s_id": "36926", "i_id": "43779"}, {"s_id": "49618", "i_id": "74426"}, {"s_id": "34329", "i_id": "81991"}, {"s_id": "84410", "i_id": "81991"}, {"s_id": "29435", "i_id": "77346"}, {"s_id": "62636", "i_id": "79081"}, {"s_id": "8483", "i_id": "74426"}, {"s_id": "2177", "i_id": "50330"}, {"s_id": "43348", "i_id": "81991"}, {"s_id": "37430", "i_id": "41930"}, {"s_id": "37586", "i_id": "81991"}, {"s_id": "55238", "i_id": "35579"}, {"s_id": "34404", "i_id": "74426"}, {"s_id": "59539", "i_id": "28400"}, {"s_id": "43123", "i_id": "95030"}, {"s_id": "19582", "i_id": "96895"}, {"s_id": "88553", "i_id": "31955"}, {"s_id": "5898", "i_id": "34175"}, {"s_id": "2419", "i_id": "73623"}, {"s_id": "31516", "i_id": "95030"}, {"s_id": "3487", "i_id": "4034"}, {"s_id": "66269", "i_id": "58558"}, {"s_id": "54622", "i_id": "4034"}, {"s_id": "19638", "i_id": "4034"}, {"s_id": "88418", "i_id": "57180"}, {"s_id": "86802", "i_id": "35579"}, {"s_id": "63361", "i_id": "90643"}, {"s_id": "6367", "i_id": "14365"}, {"s_id": "84239", "i_id": "22591"}, {"s_id": "4940", "i_id": "15347"}, {"s_id": "90663", "i_id": "77346"}, {"s_id": "38476", "i_id": "95030"}, {"s_id": "96003", "i_id": "3335"}, {"s_id": "64914", "i_id": "14365"}, {"s_id": "41599", "i_id": "48507"}, {"s_id": "22226", "i_id": "64871"}, {"s_id": "96153", "i_id": "28097"}, {"s_id": "44998", "i_id": "36897"}, {"s_id": "74163", "i_id": "80759"}, {"s_id": "75046", "i_id": "16807"}, {"s_id": "97679", "i_id": "43779"}, {"s_id": "94894", "i_id": "78699"}, {"s_id": "44881", "i_id": "22591"}, {"s_id": "98619", "i_id": "77346"}, {"s_id": "86753", "i_id": "22591"}, {"s_id": "87054", "i_id": "35579"}, {"s_id": "39046", "i_id": "19368"}, {"s_id": "29031", "i_id": "78699"}, {"s_id": "97355", "i_id": "28400"}, {"s_id": "24010", "i_id": "80759"}, {"s_id": "21789", "i_id": "63395"}, {"s_id": "52157", "i_id": "65931"}, {"s_id": "64938", "i_id": "52647"}, {"s_id": "94535", "i_id": "50885"}, {"s_id": "58595", "i_id": "31955"}, {"s_id": "72979", "i_id": "41930"}, {"s_id": "32506", "i_id": "28097"}, {"s_id": "31690", "i_id": "14365"}, {"s_id": "87044", "i_id": "36897"}, {"s_id": "34236", "i_id": "57180"}, {"s_id": "18808", "i_id": "77346"}, {"s_id": "91063", "i_id": "52647"}, {"s_id": "48462", "i_id": "52647"}, {"s_id": "41965", "i_id": "65931"}, {"s_id": "31137", "i_id": "50330"}, {"s_id": "7602", "i_id": "63287"}, {"s_id": "84845", "i_id": "6569"}, {"s_id": "28252", "i_id": "90643"}, {"s_id": "10736", "i_id": "90643"}, {"s_id": "58465", "i_id": "59795"}, {"s_id": "64140", "i_id": "52647"}, {"s_id": "6523", "i_id": "43779"}, {"s_id": "64067", "i_id": "77346"}, {"s_id": "99399", "i_id": "4034"}, {"s_id": "21337", "i_id": "43779"}, {"s_id": "15457", "i_id": "95709"}, {"s_id": "26102", "i_id": "99052"}, {"s_id": "31337", "i_id": "50330"}, {"s_id": "67425", "i_id": "42782"}, {"s_id": "48640", "i_id": "3335"}, {"s_id": "72741", "i_id": "80759"}, {"s_id": "29803", "i_id": "3199"}, {"s_id": "38895", "i_id": "15347"}, {"s_id": "49391", "i_id": "16807"}, {"s_id": "13741", "i_id": "4034"}, {"s_id": "59538", "i_id": "42782"}, {"s_id": "9360", "i_id": "28097"}, {"s_id": "53728", "i_id": "57180"}, {"s_id": "77898", "i_id": "15347"}, {"s_id": "32419", "i_id": "95030"}, {"s_id": "37521", "i_id": "4034"}, {"s_id": "97065", "i_id": "79653"}], "instructor": [{"id": "63395", "name": "McKinnon", "dept_name": "Cybernetics", "salary": 94333.99}, {"id": "78699", "name": "Pingr", "dept_name": "Statistics", "salary": 59303.62}, {"id": "96895", "name": "Mird", "dept_name": "Marketing", "salary": 119921.41}, {"id": "4233", "name": "Luo", "dept_name": "English", "salary": 88791.45}, {"id": "4034", "name": "Murata", "dept_name": "Athletics", "salary": 61387.56}, {"id": "50885", "name": "Konstantinides", "dept_name": "Languages", "salary": 32570.5}, {"id": "79653", "name": "Levine", "dept_name": "Elec. Eng.", "salary": 89805.83}, {"id": "50330", "name": "Shuming", "dept_name": "Physics", "salary": 108011.81}, {"id": "80759", "name": "Queiroz", "dept_name": "Biology", "salary": 45538.32}, {"id": "73623", "name": "Sullivan", "dept_name": "Elec. Eng.", "salary": 90038.09}, {"id": "97302", "name": "Bertolino", "dept_name": "Mech. Eng.", "salary": 51647.57}, {"id": "57180", "name": "Hau", "dept_name": "Accounting", "salary": 43966.29}, {"id": "74420", "name": "Voronina", "dept_name": "Physics", "salary": 121141.99}, {"id": "35579", "name": "Soisalon-Soininen", "dept_name": "Psychology", "salary": 62579.61}, {"id": "31955", "name": "Moreira", "dept_name": "Accounting", "salary": 71351.42}, {"id": "37687", "name": "Arias", "dept_name": "Statistics", "salary": 104563.38}, {"id": "6569", "name": "Mingoz", "dept_name": "Finance", "salary": 105311.38}, {"id": "16807", "name": "Yazdi", "dept_name": "Athletics", "salary": 98333.65}, {"id": "14365", "name": "Lembr", "dept_name": "Accounting", "salary": 32241.56}, {"id": "90643", "name": "Choll", "dept_name": "Statistics", "salary": 57807.09}, {"id": "81991", "name": "Valtchev", "dept_name": "Biology", "salary": 77036.18}, {"id": "95030", "name": "Arinb", "dept_name": "Statistics", "salary": 54805.11}, {"id": "15347", "name": "Bawa", "dept_name": "Athletics", "salary": 72140.88}, {"id": "74426", "name": "Kenje", "dept_name": "Marketing", "salary": 106554.73}, {"id": "42782", "name": "Vicentino", "dept_name": "Elec. Eng.", "salary": 34272.67}, {"id": "58558", "name": "Dusserre", "dept_name": "Marketing", "salary": 66143.25}, {"id": "63287", "name": "Jaekel", "dept_name": "Athletics", "salary": 103146.87}, {"id": "59795", "name": "Desyl", "dept_name": "Languages", "salary": 48803.38}, {"id": "22591", "name": "DAgostino", "dept_name": "Psychology", "salary": 59706.49}, {"id": "48570", "name": "Sarkar", "dept_name": "Pol. Sci.", "salary": 87549.8}, {"id": "79081", "name": "Ullman ", "dept_name": "Accounting", "salary": 47307.1}, {"id": "52647", "name": "Bancilhon", "dept_name": "Pol. Sci.", "salary": 87958.01}, {"id": "25946", "name": "Liley", "dept_name": "Languages", "salary": 90891.69}, {"id": "36897", "name": "Morris", "dept_name": "Marketing", "salary": 43770.36}, {"id": "72553", "name": "Yin", "dept_name": "English", "salary": 46397.59}, {"id": "3199", "name": "Gustafsson", "dept_name": "Elec. Eng.", "salary": 82534.37}, {"id": "34175", "name": "Bondi", "dept_name": "Comp. Sci.", "salary": 115469.11}, {"id": "48507", "name": "Lent", "dept_name": "Mech. Eng.", "salary": 107978.47}, {"id": "65931", "name": "Pimenta", "dept_name": "Cybernetics", "salary": 79866.95}, {"id": "3335", "name": "Bourrier", "dept_name": "Comp. Sci.", "salary": 80797.83}, {"id": "64871", "name": "Gutierrez", "dept_name": "Statistics", "salary": 45310.53}, {"id": "95709", "name": "Sakurai", "dept_name": "English", "salary": 118143.98}, {"id": "43779", "name": "Romero", "dept_name": "Astronomy", "salary": 79070.08}, {"id": "77346", "name": "Mahmoud", "dept_name": "Geology", "salary": 99382.59}, {"id": "28097", "name": "Kean", "dept_name": "English", "salary": 35023.18}, {"id": "90376", "name": "Bietzk", "dept_name": "Cybernetics", "salary": 117836.5}, {"id": "28400", "name": "Atanassov", "dept_name": "Statistics", "salary": 84982.92}, {"id": "41930", "name": "Tung", "dept_name": "Athletics", "salary": 50482.03}, {"id": "19368", "name": "Wieland", "dept_name": "Pol. Sci.", "salary": 124651.41}, {"id": "99052", "name": "Dale", "dept_name": "Cybernetics", "salary": 93348.83}]}, "correct_code": "-- Load college_2__advisor data\nadvisor = load(\"advisor\")\n\nfiltered_advisor = advisor\n |> filter(i_id == \"57180\")\n\n-- Load lookup data\ninstructor = load(\"instructor\")\n |> select(salary, dept_name, id)\n\nenriched = join(filtered_advisor, instructor, on: i_id == id)\n\nemit enriched", "buggy_code": "-- Load college_2__advisor data\nadvisor = load(\"advisor\")\n\nfiltered_advisor = advisor\n |> filter(i_id == \"57180\")\n\n-- Load lookup data\ninstructor = load(\"instructor\")\n |> select(salary, dept_name, id)\n\nenriched = join(filtered_advisor, instructor, on: id == i_id)\n\nemit enriched", "expected_output": [{"s_id": "30772", "i_id": "57180", "salary": 43966.29, "dept_name": "Accounting", "id": "57180"}, {"s_id": "93571", "i_id": "57180", "salary": 43966.29, "dept_name": "Accounting", "id": "57180"}, {"s_id": "88418", "i_id": "57180", "salary": 43966.29, "dept_name": "Accounting", "id": "57180"}, {"s_id": "34236", "i_id": "57180", "salary": 43966.29, "dept_name": "Accounting", "id": "57180"}, {"s_id": "53728", "i_id": "57180", "salary": 43966.29, "dept_name": "Accounting", "id": "57180"}], "bug_info": [{"category": "join_bug", "description": "Swapped join keys: 'i_id == id' \u2192 'id == i_id'", "line_num": 11, "original": "enriched = join(filtered_advisor, instructor, on: i_id == id)", "mutated": "enriched = join(filtered_advisor, instructor, on: id == i_id)"}], "difficulty": "hard", "domain": "college_2__advisor", "num_nodes": 4, "has_join": true} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. 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"constructorref": "connaught", "name": "Connaught", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Connaught_Engineering"}, {"constructorid": 126, "constructorref": "alta", "name": "Alta", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Alta_auto_racing_team"}, {"constructorid": 127, "constructorref": "osca", "name": "OSCA", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/Officine_Specializate_Costruzione_Automobili"}, {"constructorid": 128, "constructorref": "gordini", "name": "Gordini", "nationality": "French", "url": "http://en.wikipedia.org/wiki/Gordini"}, {"constructorid": 129, "constructorref": "stevens", "name": "Stevens", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Stevens_(constructor)"}, {"constructorid": 130, "constructorref": "bugatti", "name": "Bugatti", "nationality": "French", "url": "http://en.wikipedia.org/wiki/Bugatti"}, {"constructorid": 131, "constructorref": "mercedes", "name": "Mercedes", "nationality": "German", "url": "http://en.wikipedia.org/wiki/Mercedes-Benz_in_Formula_One"}, {"constructorid": 132, "constructorref": "lancia", "name": "Lancia", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/Lancia_in_Formula_One"}, {"constructorid": 133, "constructorref": "hwm", "name": "HWM", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Hersham_and_Walton_Motors"}, {"constructorid": 134, "constructorref": "schroeder", "name": "Schroeder", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Schroeder_(constructor)"}, {"constructorid": 135, "constructorref": "pawl", "name": "Pawl", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Pawl_(constructor)"}, {"constructorid": 136, "constructorref": "pankratz", "name": "Pankratz", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Pankratz"}, {"constructorid": 137, "constructorref": "arzani-volpini", "name": "Arzani-Volpini", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/Arzani-Volpini"}, {"constructorid": 138, "constructorref": "nichels", "name": "Nichels", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Nichels"}, {"constructorid": 139, "constructorref": "bromme", "name": "Bromme", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Bromme"}, {"constructorid": 140, "constructorref": "klenk", "name": "Klenk", "nationality": "German", "url": "http://en.wikipedia.org/wiki/Klenk"}, {"constructorid": 141, "constructorref": "simca", "name": "Simca", "nationality": "French", "url": "http://en.wikipedia.org/wiki/Simca"}, {"constructorid": 142, "constructorref": "turner", "name": "Turner", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Turner_(constructor)"}, {"constructorid": 143, "constructorref": "del_roy", "name": "Del Roy", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Del_Roy"}, {"constructorid": 144, "constructorref": "veritas", "name": "Veritas", "nationality": "German", "url": "http://en.wikipedia.org/wiki/Veritas_(constructor)"}, {"constructorid": 145, "constructorref": "bmw", "name": "BMW", "nationality": "German", "url": "http://en.wikipedia.org/wiki/BMW"}, {"constructorid": 146, "constructorref": "emw", "name": "EMW", "nationality": "East German", "url": "http://en.wikipedia.org/wiki/Eisenacher_Motorenwerk"}, {"constructorid": 147, "constructorref": "afm", "name": "AFM", "nationality": "German", "url": "http://en.wikipedia.org/wiki/Alex_von_Falkenhausen_Motorenbau"}, {"constructorid": 148, "constructorref": "frazer_nash", "name": "Frazer Nash", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Frazer_Nash"}, {"constructorid": 149, "constructorref": "sherman", "name": "Sherman", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Sherman_(constructor)"}, {"constructorid": 150, "constructorref": "deidt", "name": "Deidt", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Deidt"}, {"constructorid": 151, "constructorref": "era", "name": "ERA", "nationality": "British", "url": "http://en.wikipedia.org/wiki/English_Racing_Automobiles"}, {"constructorid": 152, "constructorref": "butterworth", "name": "Aston Butterworth", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Aston_Butterworth"}, {"constructorid": 153, "constructorref": "cisitalia", "name": "Cisitalia", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/Cisitalia"}, {"constructorid": 154, "constructorref": "lago", "name": "Talbot-Lago", "nationality": "French", "url": "http://en.wikipedia.org/wiki/Talbot-Lago"}, {"constructorid": 155, "constructorref": "hall", "name": "Hall", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Hall_(constructor)"}, {"constructorid": 156, "constructorref": "marchese", "name": "Marchese", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Marchese_(constructor)"}, {"constructorid": 157, "constructorref": "langley", "name": "Langley", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Langley_(constructor)"}, {"constructorid": 158, "constructorref": "rae", "name": "Rae", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Rae_(motorsport)"}, {"constructorid": 159, "constructorref": "olson", "name": "Olson", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Olson_(constructor)"}, {"constructorid": 160, "constructorref": "wetteroth", "name": "Wetteroth", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Wetteroth"}, {"constructorid": 161, "constructorref": "adams", "name": "Adams", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Adams_(constructor)"}, {"constructorid": 162, "constructorref": "snowberger", "name": "Snowberger", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Snowberger"}, {"constructorid": 163, "constructorref": "milano", "name": "Milano", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/Scuderia_Milano"}, {"constructorid": 164, "constructorref": "hrt", "name": "HRT", "nationality": "Spanish", "url": "http://en.wikipedia.org/wiki/Hispania_Racing"}, {"constructorid": 166, "constructorref": "virgin", "name": "Virgin", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Virgin_Racing"}, {"constructorid": 167, "constructorref": "cooper-maserati", "name": "Cooper-Maserati", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 168, "constructorref": "cooper-osca", "name": "Cooper-OSCA", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 169, "constructorref": "cooper-borgward", "name": "Cooper-Borgward", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 170, "constructorref": "cooper-climax", "name": "Cooper-Climax", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 171, "constructorref": "cooper-castellotti", "name": "Cooper-Castellotti", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 172, "constructorref": "lotus-climax", "name": "Lotus-Climax", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_Lotus"}, {"constructorid": 173, "constructorref": "lotus-maserati", "name": "Lotus-Maserati", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_Lotus"}, {"constructorid": 174, "constructorref": "de_tomaso-osca", "name": "De Tomaso-Osca", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/De_Tomaso"}, {"constructorid": 175, "constructorref": "de_tomaso-alfa_romeo", "name": "De Tomaso-Alfa Romeo", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/De_Tomaso"}, {"constructorid": 176, "constructorref": "lotus-brm", "name": "Lotus-BRM", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_Lotus"}, {"constructorid": 177, "constructorref": "lotus-borgward", "name": "Lotus-Borgward", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_Lotus"}, {"constructorid": 178, "constructorref": "cooper-alfa_romeo", "name": "Cooper-Alfa Romeo", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 179, "constructorref": "de_tomaso-ferrari", "name": "De Tomaso-Ferrari", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/De_Tomaso"}, {"constructorid": 180, "constructorref": "lotus-ford", "name": "Lotus-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_Lotus"}, {"constructorid": 181, "constructorref": "brabham-brm", "name": "Brabham-BRM", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Brabham"}, {"constructorid": 182, "constructorref": "brabham-ford", "name": "Brabham-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Brabham"}, {"constructorid": 183, "constructorref": "brabham-climax", "name": "Brabham-Climax", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Brabham"}, {"constructorid": 184, "constructorref": "lds-climax", "name": "LDS-Climax", "nationality": "South African", "url": "http://en.wikipedia.org/wiki/LDS_(automobile)"}, {"constructorid": 185, "constructorref": "lds-alfa_romeo", "name": "LDS-Alfa Romeo", "nationality": "South African", "url": "http://en.wikipedia.org/wiki/LDS_(automobile)"}, {"constructorid": 186, "constructorref": "cooper-ford", "name": "Cooper-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 187, "constructorref": "mclaren-ford", "name": "McLaren-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_McLaren"}, {"constructorid": 188, "constructorref": "mclaren-seren", "name": "McLaren-Serenissima", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_McLaren"}, {"constructorid": 189, "constructorref": "eagle-climax", "name": "Eagle-Climax", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Anglo_American_Racers"}, {"constructorid": 190, "constructorref": "eagle-weslake", "name": "Eagle-Weslake", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Anglo_American_Racers"}, {"constructorid": 191, "constructorref": "brabham-repco", "name": "Brabham-Repco", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Brabham"}, {"constructorid": 192, "constructorref": "cooper-ferrari", "name": "Cooper-Ferrari", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 193, "constructorref": "cooper-ats", "name": "Cooper-ATS", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 194, "constructorref": "mclaren-brm", "name": "McLaren-BRM", "nationality": "British", "url": "http://en.wikipedia.org/wiki/McLaren_(racing)"}, {"constructorid": 195, "constructorref": "cooper-brm", "name": "Cooper-BRM", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 196, "constructorref": "matra-ford", "name": "Matra-Ford", "nationality": "French", "url": "http://en.wikipedia.org/wiki/Matra"}, {"constructorid": 197, "constructorref": "brm-ford", "name": "BRM-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/BRM"}, {"constructorid": 198, "constructorref": "mclaren-alfa_romeo", "name": "McLaren-Alfa Romeo", "nationality": "British", "url": "http://en.wikipedia.org/wiki/McLaren_(racing)"}, {"constructorid": 199, "constructorref": "march-alfa_romeo", "name": "March-Alfa Romeo", "nationality": "British", "url": "http://en.wikipedia.org/wiki/March_Engineering"}, {"constructorid": 200, "constructorref": "march-ford", "name": "March-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/March_Engineering"}, {"constructorid": 201, "constructorref": "lotus-pw", "name": "Lotus-Pratt & Whitney", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_Lotus"}, {"constructorid": 202, "constructorref": "shadow-ford", "name": "Shadow-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Shadow_Racing_Cars"}]}, "correct_code": "-- Load formula_1__constructorstandings data\nconstructorstandings = load(\"constructorstandings\")\n\nfiltered_constructorstandings = constructorstandings\n |> filter(positiontext == \"1\")\n |> filter(raceid > 32)\n |> select(constructorid, position, positiontext, constructorstandingsid)\n\nresult = filtered_constructorstandings\n |> sort_by(constructorstandingsid, asc)\n |> take(3)\n\nemit result", "buggy_code": "-- Load formula_1__constructorstandings data\nconstructorstandings = load(\"constructorstandings\")\n\nfiltered_constructorstandings = constructorstandings\n |> filter(positiontext > \"1\")\n |> filter(raceid > 32)\n |> select(constructorid, position, positiontext, constructorstandingsid)\n\nresult = filtered_constructorstandings\n |> sort_by(constructorstandingsid, asc)\n |> take(3)\n\nemit result", "expected_output": [{"constructorid": 6, "position": 1, "positiontext": "1", "constructorstandingsid": 166}, {"constructorid": 6, "position": 1, "positiontext": "1", "constructorstandingsid": 188}, {"constructorid": 4, "position": 1, "positiontext": "1", "constructorstandingsid": 567}], "bug_info": [{"category": "wrong_arg", "description": "Wrong comparison operator: '==' \u2192 '>'", "line_num": 5, "original": "|> filter(positiontext == \"1\")", "mutated": "|> filter(positiontext > \"1\")"}], "difficulty": "medium", "domain": "formula_1__constructorstandings", "num_nodes": 3, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_hard | {"datasets": {"characteristics": [{"characteristic_id": 1, "characteristic_type_code": "Grade", "characteristic_data_type": "numquam", "characteristic_name": "slow", "other_characteristic_details": 0}, {"characteristic_id": 2, "characteristic_type_code": "Grade", "characteristic_data_type": "doloribus", "characteristic_name": "fast", "other_characteristic_details": 0}, {"characteristic_id": 3, "characteristic_type_code": "Purity", "characteristic_data_type": "rem", "characteristic_name": "warm", "other_characteristic_details": 0}, {"characteristic_id": 4, "characteristic_type_code": "Grade", "characteristic_data_type": "aut", "characteristic_name": "hot", "other_characteristic_details": 0}, {"characteristic_id": 5, "characteristic_type_code": "Purity", "characteristic_data_type": "impedit", "characteristic_name": "hot", "other_characteristic_details": 0}, {"characteristic_id": 6, "characteristic_type_code": "Purity", "characteristic_data_type": "qui", "characteristic_name": "warm", "other_characteristic_details": 0}, {"characteristic_id": 7, "characteristic_type_code": "Grade", "characteristic_data_type": "et", "characteristic_name": "cool", "other_characteristic_details": 0}, {"characteristic_id": 8, "characteristic_type_code": "Grade", "characteristic_data_type": "dolores", "characteristic_name": "cool", "other_characteristic_details": 0}, {"characteristic_id": 9, "characteristic_type_code": "Grade", "characteristic_data_type": "quam", "characteristic_name": "cool", "other_characteristic_details": 0}, {"characteristic_id": 10, "characteristic_type_code": "Grade", "characteristic_data_type": "velit", "characteristic_name": "fast", "other_characteristic_details": 0}, {"characteristic_id": 11, "characteristic_type_code": "Purity", "characteristic_data_type": "at", "characteristic_name": "fast", "other_characteristic_details": 0}, {"characteristic_id": 12, "characteristic_type_code": "Grade", "characteristic_data_type": "totam", "characteristic_name": "error", "other_characteristic_details": 0}, {"characteristic_id": 13, "characteristic_type_code": "Purity", "characteristic_data_type": "mollitia", "characteristic_name": "slow", "other_characteristic_details": 0}, {"characteristic_id": 14, "characteristic_type_code": "Purity", "characteristic_data_type": "placeat", "characteristic_name": "slow", "other_characteristic_details": 0}, {"characteristic_id": 15, "characteristic_type_code": "Grade", "characteristic_data_type": "facere", "characteristic_name": "slow", "other_characteristic_details": 0}], "ref_characteristic_types": [{"characteristic_type_code": "Grade", "characteristic_type_description": "Grade"}, {"characteristic_type_code": "Purity", "characteristic_type_description": "Purity"}]}, "correct_code": "-- Load products_gen_characteristics__characteristics data\ncharacteristics = load(\"characteristics\")\n\nfiltered_characteristics = characteristics\n |> filter(characteristic_name == \"fast\")\n\nsummary = filtered_characteristics\n |> group_by(characteristic_name)\n |> aggregate(avg_characteristic_id: avg(characteristic_id), count: count())\n |> compute(computed_val: avg_characteristic_id * count)\n\nresult = summary\n |> sort_by(avg_characteristic_id, desc)\n |> take(5)\n\nemit result", "buggy_code": "-- Load products_gen_characteristics__characteristics data\ncharacteristics = load(\"characteristics\")\n\nfiltered_characteristics = characteristics\n |> filter(characteristic_name == \"fasts\")\n\nsummary = filtered_characteristics\n |> group_by(characteristic_name)\n |> aggregate(avg_characteristic_id: avg(characteristic_id), count: count())\n |> compute(computed_val: avg_characteristic_id * count)\n\nresult = summary\n |> sort_by(avg_characteristic_id, desc)\n |> take(5)\n\nemit result", "expected_output": [{"characteristic_name": "fast", "avg_characteristic_id": 7.666666666666667, "count": 3, "computed_val": 23.0}], "bug_info": [{"category": "logic_bug", "description": "Wrong filter value: 'fast' \u2192 'fasts'", "line_num": 5, "original": "|> filter(characteristic_name == \"fast\")", "mutated": "|> filter(characteristic_name == \"fasts\")"}], "difficulty": "hard", "domain": "products_gen_characteristics__characteristics", "num_nodes": 4, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_hard | {"datasets": {"treatments": [{"treatment_id": 1, "dog_id": 14, "professional_id": 9, "treatment_type_code": "WALK", "date_of_treatment": "2018-03-19 04:39:54", "cost_of_treatment": 567}, {"treatment_id": 2, "dog_id": 4, "professional_id": 10, "treatment_type_code": "VAC", "date_of_treatment": "2018-03-15 20:25:34", "cost_of_treatment": 147}, {"treatment_id": 3, "dog_id": 14, "professional_id": 4, "treatment_type_code": "EXAM", "date_of_treatment": "2018-03-08 05:26:23", "cost_of_treatment": 429}, {"treatment_id": 4, "dog_id": 2, "professional_id": 8, "treatment_type_code": "VAC", "date_of_treatment": "2018-03-01 04:14:46", "cost_of_treatment": 266}, {"treatment_id": 5, "dog_id": 12, "professional_id": 14, "treatment_type_code": "VAC", "date_of_treatment": "2018-03-23 13:52:10", "cost_of_treatment": 668}, {"treatment_id": 6, "dog_id": 10, "professional_id": 4, "treatment_type_code": "EXAM", "date_of_treatment": "2018-03-11 04:23:15", "cost_of_treatment": 313}, {"treatment_id": 7, "dog_id": 15, "professional_id": 14, "treatment_type_code": "EXAM", "date_of_treatment": "2018-03-10 11:45:58", "cost_of_treatment": 852}, {"treatment_id": 8, "dog_id": 2, "professional_id": 6, "treatment_type_code": "EXAM", "date_of_treatment": "2018-03-24 22:25:58", "cost_of_treatment": 407}, {"treatment_id": 9, "dog_id": 14, "professional_id": 10, "treatment_type_code": "WALK", "date_of_treatment": "2018-03-14 19:10:40", "cost_of_treatment": 139}, {"treatment_id": 10, "dog_id": 10, "professional_id": 7, "treatment_type_code": "WALK", "date_of_treatment": "2018-02-28 17:09:43", "cost_of_treatment": 681}, {"treatment_id": 11, "dog_id": 15, "professional_id": 5, "treatment_type_code": "VAC", "date_of_treatment": "2018-03-13 12:22:58", "cost_of_treatment": 514}, {"treatment_id": 12, "dog_id": 13, "professional_id": 9, "treatment_type_code": "EXAM", "date_of_treatment": "2018-03-16 10:27:36", "cost_of_treatment": 428}, {"treatment_id": 13, "dog_id": 7, "professional_id": 8, "treatment_type_code": "VAC", "date_of_treatment": "2018-02-26 09:08:53", "cost_of_treatment": 945}, {"treatment_id": 14, "dog_id": 10, "professional_id": 9, "treatment_type_code": "WALK", "date_of_treatment": "2018-03-04 20:33:43", "cost_of_treatment": 349}, {"treatment_id": 15, "dog_id": 1, "professional_id": 6, "treatment_type_code": "WALK", "date_of_treatment": "2018-03-15 19:10:02", "cost_of_treatment": 656}], "treatment_types": [{"treatment_type_code": "EXAM", "treatment_type_description": "Physical examination"}, {"treatment_type_code": "VAC", "treatment_type_description": "Vaccination"}, {"treatment_type_code": "WALK", "treatment_type_description": "Take for a Walk"}]}, "correct_code": "-- Load dog_kennels__treatments data\ntreatments = load(\"treatments\")\n\nfiltered_treatments = treatments\n |> filter(treatment_type_code == \"WALK\")\n\nsummary = filtered_treatments\n |> group_by(treatment_type_code)\n |> aggregate(avg_dog_id: avg(dog_id), count: count())\n\n-- Load lookup data\ntreatment_types = load(\"treatment_types\")\n\nenriched = join(summary, treatment_types, on: treatment_type_code == treatment_type_code)\n\nresult = enriched\n |> sort_by(avg_dog_id, asc)\n |> take(5)\n\nemit result", "buggy_code": "-- Load dog_kennels__treatments data\ntreatments = load(\"treatments\")\n\nfiltered_treatments = treatments\n |> filter(treatment_type_code == \"walk\")\n\nsummary = filtered_treatments\n |> group_by(treatment_type_code)\n |> aggregate(avg_dog_id: avg(dog_id), count: count())\n\n-- Load lookup data\ntreatment_types = load(\"treatment_types\")\n\nenriched = join(summary, treatment_types, on: treatment_type_code == treatment_type_code)\n\nresult = enriched\n |> sort_by(avg_dog_id, asc)\n |> take(5)\n\nemit result", "expected_output": [{"treatment_type_code": "WALK", "avg_dog_id": 9.8, "count": 5, "treatment_type_description": "Take for a Walk"}], "bug_info": [{"category": "logic_bug", "description": "Wrong filter value: 'WALK' \u2192 'walk'", "line_num": 5, "original": "|> filter(treatment_type_code == \"WALK\")", "mutated": "|> filter(treatment_type_code == \"walk\")"}], "difficulty": "hard", "domain": "dog_kennels__treatments", "num_nodes": 6, "has_join": true} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_easy | {"datasets": {"problem_log": [{"problem_log_id": 1, "assigned_to_staff_id": 11, "problem_id": 11, "problem_category_code": "Middleware", "problem_status_code": "Solved", "log_entry_date": "2011-03-13 13:11:57", "log_entry_description": "t", "log_entry_fix": "k", "other_log_details": "p"}, {"problem_log_id": 2, "assigned_to_staff_id": 11, "problem_id": 8, "problem_category_code": "GUI", "problem_status_code": "Solved", "log_entry_date": "1976-03-31 14:03:02", "log_entry_description": "a", "log_entry_fix": "k", "other_log_details": "s"}, {"problem_log_id": 3, "assigned_to_staff_id": 12, "problem_id": 1, "problem_category_code": "GUI", "problem_status_code": "Solved", "log_entry_date": "1974-12-11 01:06:22", "log_entry_description": "b", "log_entry_fix": "j", "other_log_details": "e"}, {"problem_log_id": 4, "assigned_to_staff_id": 12, "problem_id": 12, "problem_category_code": "GUI", "problem_status_code": "Reported", "log_entry_date": "1993-04-02 11:07:29", "log_entry_description": "a", "log_entry_fix": "t", "other_log_details": "b"}, {"problem_log_id": 5, "assigned_to_staff_id": 6, "problem_id": 12, "problem_category_code": "Middleware", "problem_status_code": "Reported", "log_entry_date": "1976-09-17 09:01:12", "log_entry_description": "c", "log_entry_fix": "n", "other_log_details": "u"}, {"problem_log_id": 6, "assigned_to_staff_id": 2, "problem_id": 13, "problem_category_code": "GUI", "problem_status_code": "Solved", "log_entry_date": "1983-07-01 02:12:36", "log_entry_description": "h", "log_entry_fix": "g", "other_log_details": "n"}, {"problem_log_id": 7, "assigned_to_staff_id": 13, "problem_id": 1, "problem_category_code": "Datatabase", "problem_status_code": "Solved", "log_entry_date": "1974-09-13 00:37:26", "log_entry_description": "s", "log_entry_fix": "c", "other_log_details": "v"}, {"problem_log_id": 8, "assigned_to_staff_id": 4, "problem_id": 15, "problem_category_code": "Datatabase", "problem_status_code": "Solved", "log_entry_date": "1999-08-17 00:00:18", "log_entry_description": "j", "log_entry_fix": "h", "other_log_details": "j"}, {"problem_log_id": 9, "assigned_to_staff_id": 10, "problem_id": 13, "problem_category_code": "GUI", "problem_status_code": "Reported", "log_entry_date": "1993-06-21 22:33:35", "log_entry_description": "p", "log_entry_fix": "i", "other_log_details": "f"}, {"problem_log_id": 10, "assigned_to_staff_id": 6, "problem_id": 1, "problem_category_code": "Middleware", "problem_status_code": "Reported", "log_entry_date": "2001-05-14 10:03:53", "log_entry_description": "d", "log_entry_fix": "x", "other_log_details": "d"}, {"problem_log_id": 11, "assigned_to_staff_id": 1, "problem_id": 8, "problem_category_code": "Datatabase", "problem_status_code": "Solved", "log_entry_date": "1973-03-12 16:30:50", "log_entry_description": "w", "log_entry_fix": "k", "other_log_details": "a"}, {"problem_log_id": 12, "assigned_to_staff_id": 4, "problem_id": 10, "problem_category_code": "Middleware", "problem_status_code": "Solved", "log_entry_date": "1997-08-31 08:19:12", "log_entry_description": "c", "log_entry_fix": "y", "other_log_details": "c"}, {"problem_log_id": 13, "assigned_to_staff_id": 6, "problem_id": 10, "problem_category_code": "Middleware", "problem_status_code": "Reported", "log_entry_date": "2009-04-10 19:09:30", "log_entry_description": "q", "log_entry_fix": "t", "other_log_details": "o"}, {"problem_log_id": 14, "assigned_to_staff_id": 8, "problem_id": 4, "problem_category_code": "Datatabase", "problem_status_code": "Reported", "log_entry_date": "2011-11-12 23:30:53", "log_entry_description": "a", "log_entry_fix": "s", "other_log_details": "c"}, {"problem_log_id": 15, "assigned_to_staff_id": 5, "problem_id": 7, "problem_category_code": "GUI", "problem_status_code": "Reported", "log_entry_date": "1982-11-17 06:05:52", "log_entry_description": "v", "log_entry_fix": "o", "other_log_details": "d"}], "problem_category_codes": [{"problem_category_code": "Datatabase", "problem_category_description": "Database design or contents."}, {"problem_category_code": "GUI", "problem_category_description": "User Interface."}, {"problem_category_code": "Middleware", "problem_category_description": "Infrastructrure and Architecture"}]}, "correct_code": "-- Load tracking_software_problems__problem_log data\nproblem_log = load(\"problem_log\")\n\nfiltered_problem_log = problem_log\n |> filter(problem_status_code == \"Solved\")\n\nsummary = filtered_problem_log\n |> group_by(log_entry_date)\n |> aggregate(avg_problem_id: avg(problem_id), count: count())\n\nresult = summary\n |> sort_by(count, asc)\n |> take(5)\n\nemit result", "buggy_code": "-- Load tracking_software_problems__problem_log data\nproblem_log = load(\"problem_log\")\n\nfiltered_problem_log = problem_log\n |> filer(problem_status_code == \"Solved\")\n\nsummary = filtered_problem_log\n |> group_by(log_entry_date)\n |> aggregate(avg_problem_id: avg(problem_id), count: count())\n\nresult = summary\n |> sort_by(count, asc)\n |> taek(5)\n\nemit result", "expected_output": [{"log_entry_date": "2011-03-13 13:11:57", "avg_problem_id": 11.0, "count": 1}, {"log_entry_date": "1976-03-31 14:03:02", "avg_problem_id": 8.0, "count": 1}, {"log_entry_date": "1974-12-11 01:06:22", "avg_problem_id": 1.0, "count": 1}, {"log_entry_date": "1983-07-01 02:12:36", "avg_problem_id": 13.0, "count": 1}, {"log_entry_date": "1974-09-13 00:37:26", "avg_problem_id": 1.0, "count": 1}], "bug_info": [{"category": "syntax", "description": "Typo in keyword: 'take' \u2192 'taek'", "line_num": 13, "original": "|> take(5)", "mutated": "|> taek(5)"}, {"category": "syntax", "description": "Typo in keyword: 'filter' \u2192 'filer'", "line_num": 5, "original": "|> filter(problem_status_code == \"Solved\")", "mutated": "|> filer(problem_status_code == \"Solved\")"}], "difficulty": "easy", "domain": "tracking_software_problems__problem_log", "num_nodes": 4, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_medium | {"datasets": {"status": [{"statusid": 1, "status": "Finished"}, {"statusid": 2, "status": "Disqualified"}, {"statusid": 3, "status": "Accident"}, {"statusid": 4, "status": "Collision"}, {"statusid": 5, "status": "Engine"}, {"statusid": 6, "status": "Gearbox"}, {"statusid": 7, "status": "Transmission"}, {"statusid": 8, "status": "Clutch"}, {"statusid": 9, "status": "Hydraulics"}, {"statusid": 10, "status": "Electrical"}, {"statusid": 11, "status": "+1 Lap"}, {"statusid": 12, "status": "+2 Laps"}, {"statusid": 13, "status": "+3 Laps"}, {"statusid": 14, "status": "+4 Laps"}, {"statusid": 15, "status": "+5 Laps"}, {"statusid": 16, "status": "+6 Laps"}, {"statusid": 17, "status": "+7 Laps"}, {"statusid": 18, "status": "+8 Laps"}, {"statusid": 19, "status": "+9 Laps"}, {"statusid": 20, "status": "Spun off"}, {"statusid": 21, "status": "Radiator"}, {"statusid": 22, "status": "Suspension"}, {"statusid": 23, "status": "Brakes"}, {"statusid": 24, "status": "Differential"}, {"statusid": 25, "status": "Overheating"}, {"statusid": 26, "status": "Mechanical"}, {"statusid": 27, "status": "Tyre"}, {"statusid": 28, "status": "Driver Seat"}, {"statusid": 29, "status": "Puncture"}, {"statusid": 30, "status": "Driveshaft"}, {"statusid": 31, "status": "Retired"}, {"statusid": 32, "status": "Fuel pressure"}, {"statusid": 33, "status": "Front wing"}, {"statusid": 34, "status": "Water pressure"}, {"statusid": 35, "status": "Refuelling"}, {"statusid": 36, "status": "Wheel"}, {"statusid": 37, "status": "Throttle"}, {"statusid": 38, "status": "Steering"}, {"statusid": 39, "status": "Technical"}, {"statusid": 40, "status": "Electronics"}, {"statusid": 41, "status": "Broken wing"}, {"statusid": 42, "status": "Heat shield fire"}, {"statusid": 43, "status": "Exhaust"}, {"statusid": 44, "status": "Oil leak"}, {"statusid": 45, "status": "+11 Laps"}, {"statusid": 46, "status": "Wheel rim"}, {"statusid": 47, "status": "Water leak"}, {"statusid": 48, "status": "Fuel pump"}, {"statusid": 49, "status": "Track rod"}, {"statusid": 50, "status": "+17 Laps"}, {"statusid": 51, "status": "Oil pressure"}, {"statusid": 53, "status": "+13 Laps"}, {"statusid": 54, "status": "Withdrew"}, {"statusid": 55, "status": "+12 Laps"}, {"statusid": 56, "status": "Engine fire"}, {"statusid": 58, "status": "+26 Laps"}, {"statusid": 59, "status": "Tyre puncture"}, {"statusid": 60, "status": "Out of fuel"}, {"statusid": 61, "status": "Wheel nut"}, {"statusid": 62, "status": "Not classified"}, {"statusid": 63, "status": "Pneumatics"}, {"statusid": 64, "status": "Handling"}, {"statusid": 65, "status": "Rear wing"}, {"statusid": 66, "status": "Fire"}, {"statusid": 67, "status": "Wheel bearing"}, {"statusid": 68, "status": "Physical"}, {"statusid": 69, "status": "Fuel system"}, {"statusid": 70, "status": "Oil line"}, {"statusid": 71, "status": "Fuel rig"}, {"statusid": 72, "status": "Launch control"}, {"statusid": 73, "status": "Injured"}, {"statusid": 74, "status": "Fuel"}, {"statusid": 75, "status": "Power loss"}, {"statusid": 76, "status": "Vibrations"}, {"statusid": 77, "status": "107% Rule"}, {"statusid": 78, "status": "Safety"}, {"statusid": 79, "status": "Drivetrain"}, {"statusid": 80, "status": "Ignition"}, {"statusid": 81, "status": "Did not qualify"}, {"statusid": 82, "status": "Injury"}, {"statusid": 83, "status": "Chassis"}, {"statusid": 84, "status": "Battery"}, {"statusid": 85, "status": "Stalled"}, {"statusid": 86, "status": "Halfshaft"}, {"statusid": 87, "status": "Crankshaft"}, {"statusid": 88, "status": "+10 Laps"}, {"statusid": 89, "status": "Safety concerns"}, {"statusid": 90, "status": "Not restarted"}, {"statusid": 91, "status": "Alternator"}, {"statusid": 92, "status": "Underweight"}, {"statusid": 93, "status": "Safety belt"}, {"statusid": 94, "status": "Oil pump"}, {"statusid": 95, "status": "Fuel leak"}, {"statusid": 96, "status": "Excluded"}, {"statusid": 97, "status": "Did not prequalify"}, {"statusid": 98, "status": "Injection"}, {"statusid": 99, "status": "Distributor"}, {"statusid": 100, "status": "Driver unwell"}, {"statusid": 101, "status": "Turbo"}, {"statusid": 102, "status": "CV joint"}, {"statusid": 103, "status": "Water pump"}, {"statusid": 104, "status": "Fatal accident"}, {"statusid": 105, "status": "Spark plugs"}, {"statusid": 106, "status": "Fuel pipe"}, {"statusid": 107, "status": "Eye injury"}, {"statusid": 108, "status": "Oil pipe"}, {"statusid": 109, "status": "Axle"}, {"statusid": 110, "status": "Water pipe"}, {"statusid": 111, "status": "+14 Laps"}, {"statusid": 112, "status": "+15 Laps"}, {"statusid": 113, "status": "+25 Laps"}, {"statusid": 114, "status": "+18 Laps"}, {"statusid": 115, "status": "+22 Laps"}, {"statusid": 116, "status": "+16 Laps"}, {"statusid": 117, "status": "+24 Laps"}, {"statusid": 118, "status": "+29 Laps"}, {"statusid": 119, "status": "+23 Laps"}, {"statusid": 120, "status": "+21 Laps"}, {"statusid": 121, "status": "Magneto"}, {"statusid": 122, "status": "+44 Laps"}, {"statusid": 123, "status": "+30 Laps"}, {"statusid": 124, "status": "+19 Laps"}, {"statusid": 125, "status": "+46 Laps"}, {"statusid": 126, "status": "Supercharger"}, {"statusid": 127, "status": "+20 Laps"}, {"statusid": 128, "status": "+42 Laps"}, {"statusid": 129, "status": "Engine misfire"}, {"statusid": 130, "status": "Collision damage"}, {"statusid": 131, "status": "Power Unit"}, {"statusid": 132, "status": "ERS"}, {"statusid": 133, "status": "+49 Laps"}, {"statusid": 134, "status": "+38 Laps"}, {"statusid": 135, "status": "Brake duct"}, {"statusid": 136, "status": "Seat"}]}, "correct_code": "-- Load formula_1__status data\nstatus = load(\"status\")\n\nfiltered_status = status\n |> filter(statusid <= 7)\n |> select(statusid, status)\n\nsummary = filtered_status\n |> group_by(status)\n |> aggregate(min_statusid: min(statusid), count: count())\n\nresult = summary\n |> sort_by(count, desc)\n |> take(10)\n\nemit result", "buggy_code": "-- Load formula_1__status data\nstatus = load(\"status\")\n\nfiltered_status = status\n |> filter(statusid === 7)\n |> select(statusid, status)\n\nsummary = filtered_status\n |> group_by(status)\n |> aggregate(min_statusid: min(statusid), count: count())\n\nresult = summary\n |> sort_by(count, desc)\n |> take(10)\n\nemit result", "expected_output": [{"status": "Finished", "min_statusid": 1, "count": 1}, {"status": "Disqualified", "min_statusid": 2, "count": 1}, {"status": "Accident", "min_statusid": 3, "count": 1}, {"status": "Collision", "min_statusid": 4, "count": 1}, {"status": "Engine", "min_statusid": 5, "count": 1}, {"status": "Gearbox", "min_statusid": 6, "count": 1}, {"status": "Transmission", "min_statusid": 7, "count": 1}], "bug_info": [{"category": "wrong_arg", "description": "Wrong comparison operator: '<' \u2192 '=='", "line_num": 5, "original": "|> filter(statusid <= 7)", "mutated": "|> filter(statusid === 7)"}], "difficulty": "medium", "domain": "formula_1__status", "num_nodes": 4, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_easy | {"datasets": {"route": [{"train_id": 1, "station_id": 1}, {"train_id": 1, "station_id": 2}, {"train_id": 1, "station_id": 3}, {"train_id": 2, "station_id": 1}, {"train_id": 2, "station_id": 3}, {"train_id": 2, "station_id": 7}, {"train_id": 3, "station_id": 4}, {"train_id": 4, "station_id": 6}, {"train_id": 4, "station_id": 2}, {"train_id": 5, "station_id": 1}, {"train_id": 6, "station_id": 5}, {"train_id": 7, "station_id": 4}, {"train_id": 7, "station_id": 5}, {"train_id": 7, "station_id": 8}, {"train_id": 8, "station_id": 8}, {"train_id": 9, "station_id": 7}, {"train_id": 9, "station_id": 8}, {"train_id": 10, "station_id": 9}], "train": [{"id": 1, "train_number": 16724, "name": "Ananthapuri Express", "origin": "Trivandrum", "destination": "Chennai", "time": "17:15", "interval": "Daily"}, {"id": 2, "train_number": 16127, "name": "Guruvayur Express", "origin": "Chennai", "destination": "Guruvayur", "time": "22:10", "interval": "Daily"}, {"id": 3, "train_number": 16128, "name": "Guruvayur Express", "origin": "Guruvayur", "destination": "Chennai", "time": "4:49", "interval": "Daily"}, {"id": 4, "train_number": 16723, "name": "Ananthapuri Express", "origin": "Chennai", "destination": "Trivandrum", "time": "11:35", "interval": "Daily"}, {"id": 5, "train_number": 16382, "name": "Jayanthi Janatha Express", "origin": "Kanniyakumari", "destination": "Mumbai", "time": "06:30", "interval": "Daily"}, {"id": 6, "train_number": 16525, "name": "Island Express", "origin": "Kanniyakumari", "destination": "Bangalore", "time": "11:15", "interval": "Daily"}, {"id": 7, "train_number": 56701, "name": "Madurai Fast Passenger", "origin": "Quilon", "destination": "Madurai", "time": "21:49", "interval": "Daily"}, {"id": 8, "train_number": 56700, "name": "Quilon Fast Passenger", "origin": "Madurai", "destination": "Quilon Junction", "time": "04:55", "interval": "Daily"}, {"id": 9, "train_number": 16526, "name": "Island Express", "origin": "Bangalore", "destination": "Kanniyakumari", "time": "16:59", "interval": "Daily"}, {"id": 10, "train_number": 16381, "name": "Jayanthi Janatha Express", "origin": "Mumbai", "destination": "Kanniyakumari", "time": "10:38", "interval": "Daily"}, {"id": 11, "train_number": 16650, "name": "Parasuram Express", "origin": "Nagercoil", "destination": "Mangalore", "time": "04:20", "interval": "Daily"}]}, "correct_code": "-- Load station_weather__route data\nroute = load(\"route\")\n\nfiltered_route = route\n |> filter(train_id > 4)\n |> compute(computed_val: station_id / train_id)\n\nresult = filtered_route\n |> sort_by(station_id, asc)\n |> take(3)\n\nemit result", "buggy_code": "-- Load station_weather__route data\nroute = load(\"route\")\n\nfiltered_route = route\n |<= filter(train_id > 4)\n |> compute(computed_val: station_id / train_id)\n\nresult = filtered_route\n |> sort_by(station_id, asc)\n |> take(3)\n\nemit result", "expected_output": [{"train_id": 5, "station_id": 1, "computed_val": 0.2}, {"train_id": 7, "station_id": 4, "computed_val": 0.5714285714285714}, {"train_id": 6, "station_id": 5, "computed_val": 0.8333333333333334}], "bug_info": [{"category": "wrong_arg", "description": "Wrong comparison operator: '>' \u2192 '<='", "line_num": 5, "original": "|> filter(train_id > 4)", "mutated": "|<= filter(train_id > 4)"}], "difficulty": "easy", "domain": "station_weather__route", "num_nodes": 3, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_medium | {"datasets": {"problem_log": [{"problem_log_id": 1, "assigned_to_staff_id": 11, "problem_id": 11, "problem_category_code": "Middleware", "problem_status_code": "Solved", "log_entry_date": "2011-03-13 13:11:57", "log_entry_description": "t", "log_entry_fix": "k", "other_log_details": "p"}, {"problem_log_id": 2, "assigned_to_staff_id": 11, "problem_id": 8, "problem_category_code": "GUI", "problem_status_code": "Solved", "log_entry_date": "1976-03-31 14:03:02", "log_entry_description": "a", "log_entry_fix": "k", "other_log_details": "s"}, {"problem_log_id": 3, "assigned_to_staff_id": 12, "problem_id": 1, "problem_category_code": "GUI", "problem_status_code": "Solved", "log_entry_date": "1974-12-11 01:06:22", "log_entry_description": "b", "log_entry_fix": "j", "other_log_details": "e"}, {"problem_log_id": 4, "assigned_to_staff_id": 12, "problem_id": 12, "problem_category_code": "GUI", "problem_status_code": "Reported", "log_entry_date": "1993-04-02 11:07:29", "log_entry_description": "a", "log_entry_fix": "t", "other_log_details": "b"}, {"problem_log_id": 5, "assigned_to_staff_id": 6, "problem_id": 12, "problem_category_code": "Middleware", "problem_status_code": "Reported", "log_entry_date": "1976-09-17 09:01:12", "log_entry_description": "c", "log_entry_fix": "n", "other_log_details": "u"}, {"problem_log_id": 6, "assigned_to_staff_id": 2, "problem_id": 13, "problem_category_code": "GUI", "problem_status_code": "Solved", "log_entry_date": "1983-07-01 02:12:36", "log_entry_description": "h", "log_entry_fix": "g", "other_log_details": "n"}, {"problem_log_id": 7, "assigned_to_staff_id": 13, "problem_id": 1, "problem_category_code": "Datatabase", "problem_status_code": "Solved", "log_entry_date": "1974-09-13 00:37:26", "log_entry_description": "s", "log_entry_fix": "c", "other_log_details": "v"}, {"problem_log_id": 8, "assigned_to_staff_id": 4, "problem_id": 15, "problem_category_code": "Datatabase", "problem_status_code": "Solved", "log_entry_date": "1999-08-17 00:00:18", "log_entry_description": "j", "log_entry_fix": "h", "other_log_details": "j"}, {"problem_log_id": 9, "assigned_to_staff_id": 10, "problem_id": 13, "problem_category_code": "GUI", "problem_status_code": "Reported", "log_entry_date": "1993-06-21 22:33:35", "log_entry_description": "p", "log_entry_fix": "i", "other_log_details": "f"}, {"problem_log_id": 10, "assigned_to_staff_id": 6, "problem_id": 1, "problem_category_code": "Middleware", "problem_status_code": "Reported", "log_entry_date": "2001-05-14 10:03:53", "log_entry_description": "d", "log_entry_fix": "x", "other_log_details": "d"}, {"problem_log_id": 11, "assigned_to_staff_id": 1, "problem_id": 8, "problem_category_code": "Datatabase", "problem_status_code": "Solved", "log_entry_date": "1973-03-12 16:30:50", "log_entry_description": "w", "log_entry_fix": "k", "other_log_details": "a"}, {"problem_log_id": 12, "assigned_to_staff_id": 4, "problem_id": 10, "problem_category_code": "Middleware", "problem_status_code": "Solved", "log_entry_date": "1997-08-31 08:19:12", "log_entry_description": "c", "log_entry_fix": "y", "other_log_details": "c"}, {"problem_log_id": 13, "assigned_to_staff_id": 6, "problem_id": 10, "problem_category_code": "Middleware", "problem_status_code": "Reported", "log_entry_date": "2009-04-10 19:09:30", "log_entry_description": "q", "log_entry_fix": "t", "other_log_details": "o"}, {"problem_log_id": 14, "assigned_to_staff_id": 8, "problem_id": 4, "problem_category_code": "Datatabase", "problem_status_code": "Reported", "log_entry_date": "2011-11-12 23:30:53", "log_entry_description": "a", "log_entry_fix": "s", "other_log_details": "c"}, {"problem_log_id": 15, "assigned_to_staff_id": 5, "problem_id": 7, "problem_category_code": "GUI", "problem_status_code": "Reported", "log_entry_date": "1982-11-17 06:05:52", "log_entry_description": "v", "log_entry_fix": "o", "other_log_details": "d"}], "problem_category_codes": [{"problem_category_code": "Datatabase", "problem_category_description": "Database design or contents."}, {"problem_category_code": "GUI", "problem_category_description": "User Interface."}, {"problem_category_code": "Middleware", "problem_category_description": "Infrastructrure and Architecture"}]}, "correct_code": "-- Load tracking_software_problems__problem_log data\nproblem_log = load(\"problem_log\")\n\nsummary = problem_log\n |> group_by(log_entry_fix)\n |> aggregate(max_assigned_to_staff_id: max(assigned_to_staff_id), count: count())\n\nresult = summary\n |> sort_by(max_assigned_to_staff_id, asc)\n |> take(5)\n\nemit result", "buggy_code": "-- Load tracking_software_problems__problem_log data\nproblem_log = load(\"problem_log\")\n\nsummary = problem_log\n |> group_by(assigned_to_staff_id)\n |> aggregate(max_assigned_to_staff_id: max(assigned_to_staff_id), count: count())\n\nresult = summary\n |> sort_by(max_assigned_to_staff_id, asc)\n |> take(5)\n\nemit result", "expected_output": [{"log_entry_fix": "g", "max_assigned_to_staff_id": 2, "count": 1}, {"log_entry_fix": "h", "max_assigned_to_staff_id": 4, "count": 1}, {"log_entry_fix": "y", "max_assigned_to_staff_id": 4, "count": 1}, {"log_entry_fix": "o", "max_assigned_to_staff_id": 5, "count": 1}, {"log_entry_fix": "n", "max_assigned_to_staff_id": 6, "count": 1}], "bug_info": [{"category": "wrong_col", "description": "Wrong column reference: 'log_entry_fix' \u2192 'assigned_to_staff_id'", "line_num": 5, "original": "|> group_by(log_entry_fix)", "mutated": "|> group_by(assigned_to_staff_id)"}], "difficulty": "medium", "domain": "tracking_software_problems__problem_log", "num_nodes": 3, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_easy | {"datasets": {"addresses": [{"address_id": 5, "line_1": "0900 Roderick Oval\nNew Albina, WA 19200-7914", "line_2": "Suite 096", "city": "Linnealand", "zip_postcode": "862", "state_province_county": "Montana", "country": "USA"}, {"address_id": 9, "line_1": "966 Dach Ports Apt. 322\nLake Harmonyhaven, VA 65235", "line_2": "Apt. 163", "city": "South Minnie", "zip_postcode": "716", "state_province_county": "Texas", "country": "USA"}, {"address_id": 29, "line_1": "28550 Broderick Underpass Suite 667\nZakaryhaven, WY 22945-1534", "line_2": "Apt. 419", "city": "North Trystanborough", "zip_postcode": "112", "state_province_county": "Vermont", "country": "USA"}, {"address_id": 30, "line_1": "83706 Ana Trafficway Apt. 992\nWest Jarret, MI 01112", "line_2": "Apt. 884", "city": "Lake Kaley", "zip_postcode": "431", "state_province_county": "Washington", "country": "USA"}, {"address_id": 43, "line_1": "69165 Beatty Station\nHaleighstad, MS 55164", "line_2": "Suite 333", "city": "Stephaniemouth", "zip_postcode": "559", "state_province_county": "Massachusetts", "country": "USA"}, {"address_id": 45, "line_1": "242 Pacocha Streets\nEast Isabellashire, ND 03506", "line_2": "Suite 370", "city": "O'Connellview", "zip_postcode": "514", "state_province_county": "NewMexico", "country": "USA"}, {"address_id": 55, "line_1": "801 Modesto Island Suite 306\nLacyville, VT 34059", "line_2": "Suite 764", "city": "New Alta", "zip_postcode": "176", "state_province_county": "Mississippi", "country": "USA"}, {"address_id": 63, "line_1": "0177 Fisher Dam\nBerniershire, KS 00038-7574", "line_2": "Apt. 903", "city": "South Keenan", "zip_postcode": "613", "state_province_county": "Michigan", "country": "USA"}, {"address_id": 68, "line_1": "09471 Hickle Light\nPort Maxime, NJ 91550-5409", "line_2": "Suite 903", "city": "Hannahside", "zip_postcode": "354", "state_province_county": "Connecticut", "country": "USA"}, {"address_id": 73, "line_1": "67831 Lavonne Lodge\nOlsontown, DC 20894", "line_2": "Apt. 756", "city": "Alizeshire", "zip_postcode": "687", "state_province_county": "NewMexico", "country": "USA"}, {"address_id": 82, "line_1": "228 Fahey Land\nBaileymouth, FL 06297-5606", "line_2": "Suite 087", "city": "South Naomibury", "zip_postcode": "079", "state_province_county": "Ohio", "country": "USA"}, {"address_id": 88, "line_1": "1770 Adriel Ramp Apt. 397\nWest Ashlynnchester, UT 91968", "line_2": "Apt. 617", "city": "East Tavaresburgh", "zip_postcode": "179", "state_province_county": "SouthDakota", "country": "USA"}, {"address_id": 92, "line_1": "8760 Eldon Squares Suite 260\nMarquisestad, GA 38537", "line_2": "Apt. 435", "city": "Lake Devon", "zip_postcode": "244", "state_province_county": "SouthDakota", "country": "USA"}, {"address_id": 94, "line_1": "8263 Abbott Crossing Apt. 066\nOberbrunnerbury, LA 67451", "line_2": "Apt. 626", "city": "Boyleshire", "zip_postcode": "536", "state_province_county": "Kansas", "country": "USA"}, {"address_id": 99, "line_1": "521 Paucek Field\nNorth Oscartown, WI 31527", "line_2": "Apt. 849", "city": "Terencetown", "zip_postcode": "979", "state_province_county": "Michigan", "country": "USA"}], "people_addresses": [{"person_address_id": 122, "person_id": 111, "address_id": 9, "date_from": "2012-09-26 13:21:00", "date_to": "2018-03-21 09:46:30"}, {"person_address_id": 257, "person_id": 121, "address_id": 5, "date_from": "2008-07-31 02:17:25", "date_to": "2018-03-09 02:11:12"}, {"person_address_id": 269, "person_id": 131, "address_id": 88, "date_from": "2008-05-26 20:43:41", "date_to": "2018-03-11 20:26:41"}, {"person_address_id": 276, "person_id": 141, "address_id": 99, "date_from": "2014-05-10 00:32:31", "date_to": "2018-03-08 06:16:47"}, {"person_address_id": 281, "person_id": 151, "address_id": 92, "date_from": "2010-11-26 05:21:12", "date_to": "2018-03-12 21:10:02"}, {"person_address_id": 340, "person_id": 161, "address_id": 45, "date_from": "2017-05-01 17:32:26", "date_to": "2018-03-09 08:45:06"}, {"person_address_id": 363, "person_id": 171, "address_id": 55, "date_from": "2015-05-24 16:14:12", "date_to": "2018-02-23 22:44:18"}, {"person_address_id": 396, "person_id": 181, "address_id": 82, "date_from": "2013-12-26 16:57:01", "date_to": "2018-03-03 16:06:17"}]}, "correct_code": "-- Load student_assessment__addresses data\naddresses = load(\"addresses\")\n\nsummary = addresses\n |> group_by(line_1)\n |> aggregate(avg_address_id: avg(address_id), count: count())\n\nresult = summary\n |> sort_by(count, asc)\n |> take(10)\n\nemit result", "buggy_code": "-- Load student_assessment__addresses data\naddresses = load(\"addresses\")\n\nsummary = addresses\n |> group_by(line_1)\n |> agregate(avg_address_id: avg(address_id), count: count())\n\nresult = summary\n |> sort_by(count, asc)\n |> take(10)\n\nemit result", "expected_output": [{"line_1": "0900 Roderick Oval\nNew Albina, WA 19200-7914", "avg_address_id": 5.0, "count": 1}, {"line_1": "966 Dach Ports Apt. 322\nLake Harmonyhaven, VA 65235", "avg_address_id": 9.0, "count": 1}, {"line_1": "28550 Broderick Underpass Suite 667\nZakaryhaven, WY 22945-1534", "avg_address_id": 29.0, "count": 1}, {"line_1": "83706 Ana Trafficway Apt. 992\nWest Jarret, MI 01112", "avg_address_id": 30.0, "count": 1}, {"line_1": "69165 Beatty Station\nHaleighstad, MS 55164", "avg_address_id": 43.0, "count": 1}, {"line_1": "242 Pacocha Streets\nEast Isabellashire, ND 03506", "avg_address_id": 45.0, "count": 1}, {"line_1": "801 Modesto Island Suite 306\nLacyville, VT 34059", "avg_address_id": 55.0, "count": 1}, {"line_1": "0177 Fisher Dam\nBerniershire, KS 00038-7574", "avg_address_id": 63.0, "count": 1}, {"line_1": "09471 Hickle Light\nPort Maxime, NJ 91550-5409", "avg_address_id": 68.0, "count": 1}, {"line_1": "67831 Lavonne Lodge\nOlsontown, DC 20894", "avg_address_id": 73.0, "count": 1}], "bug_info": [{"category": "syntax", "description": "Typo in keyword: 'aggregate' \u2192 'agregate'", "line_num": 6, "original": "|> aggregate(avg_address_id: avg(address_id), count: count())", "mutated": "|> agregate(avg_address_id: avg(address_id), count: count())"}], "difficulty": "easy", "domain": "student_assessment__addresses", "num_nodes": 3, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_hard | {"datasets": {"treatments": [{"treatment_id": 1, "dog_id": 14, "professional_id": 9, "treatment_type_code": "WALK", "date_of_treatment": "2018-03-19 04:39:54", "cost_of_treatment": 567}, {"treatment_id": 2, "dog_id": 4, "professional_id": 10, "treatment_type_code": "VAC", "date_of_treatment": "2018-03-15 20:25:34", "cost_of_treatment": 147}, {"treatment_id": 3, "dog_id": 14, "professional_id": 4, "treatment_type_code": "EXAM", "date_of_treatment": "2018-03-08 05:26:23", "cost_of_treatment": 429}, {"treatment_id": 4, "dog_id": 2, "professional_id": 8, "treatment_type_code": "VAC", "date_of_treatment": "2018-03-01 04:14:46", "cost_of_treatment": 266}, {"treatment_id": 5, "dog_id": 12, "professional_id": 14, "treatment_type_code": "VAC", "date_of_treatment": "2018-03-23 13:52:10", "cost_of_treatment": 668}, {"treatment_id": 6, "dog_id": 10, "professional_id": 4, "treatment_type_code": "EXAM", "date_of_treatment": "2018-03-11 04:23:15", "cost_of_treatment": 313}, {"treatment_id": 7, "dog_id": 15, "professional_id": 14, "treatment_type_code": "EXAM", "date_of_treatment": "2018-03-10 11:45:58", "cost_of_treatment": 852}, {"treatment_id": 8, "dog_id": 2, "professional_id": 6, "treatment_type_code": "EXAM", "date_of_treatment": "2018-03-24 22:25:58", "cost_of_treatment": 407}, {"treatment_id": 9, "dog_id": 14, "professional_id": 10, "treatment_type_code": "WALK", "date_of_treatment": "2018-03-14 19:10:40", "cost_of_treatment": 139}, {"treatment_id": 10, "dog_id": 10, "professional_id": 7, "treatment_type_code": "WALK", "date_of_treatment": "2018-02-28 17:09:43", "cost_of_treatment": 681}, {"treatment_id": 11, "dog_id": 15, "professional_id": 5, "treatment_type_code": "VAC", "date_of_treatment": "2018-03-13 12:22:58", "cost_of_treatment": 514}, {"treatment_id": 12, "dog_id": 13, "professional_id": 9, "treatment_type_code": "EXAM", "date_of_treatment": "2018-03-16 10:27:36", "cost_of_treatment": 428}, {"treatment_id": 13, "dog_id": 7, "professional_id": 8, "treatment_type_code": "VAC", "date_of_treatment": "2018-02-26 09:08:53", "cost_of_treatment": 945}, {"treatment_id": 14, "dog_id": 10, "professional_id": 9, "treatment_type_code": "WALK", "date_of_treatment": "2018-03-04 20:33:43", "cost_of_treatment": 349}, {"treatment_id": 15, "dog_id": 1, "professional_id": 6, "treatment_type_code": "WALK", "date_of_treatment": "2018-03-15 19:10:02", "cost_of_treatment": 656}], "treatment_types": [{"treatment_type_code": "EXAM", "treatment_type_description": "Physical examination"}, {"treatment_type_code": "VAC", "treatment_type_description": "Vaccination"}, {"treatment_type_code": "WALK", "treatment_type_description": "Take for a Walk"}]}, "correct_code": "-- Load dog_kennels__treatments data\ntreatments = load(\"treatments\")\n |> select(treatment_type_code, cost_of_treatment, professional_id, treatment_id)\n\nresult = treatments\n |> sort_by(professional_id, desc)\n |> take(10)\n\nemit result", "buggy_code": "-- Load dog_kennels__treatments data\ntreatments = load(\"treatments\")\n |> select(treatment_type_code, cost_of_treatment, professional_id, treatment_id)\n\nresult = treatments\n |> sort_by(professional_id, desc)\n |> take(12)\n\nemit result", "expected_output": [{"treatment_type_code": "VAC", "cost_of_treatment": 668, "professional_id": 14, "treatment_id": 5}, {"treatment_type_code": "EXAM", "cost_of_treatment": 852, "professional_id": 14, "treatment_id": 7}, {"treatment_type_code": "VAC", "cost_of_treatment": 147, "professional_id": 10, "treatment_id": 2}, {"treatment_type_code": "WALK", "cost_of_treatment": 139, "professional_id": 10, "treatment_id": 9}, {"treatment_type_code": "WALK", "cost_of_treatment": 567, "professional_id": 9, "treatment_id": 1}, {"treatment_type_code": "EXAM", "cost_of_treatment": 428, "professional_id": 9, "treatment_id": 12}, {"treatment_type_code": "WALK", "cost_of_treatment": 349, "professional_id": 9, "treatment_id": 14}, {"treatment_type_code": "VAC", "cost_of_treatment": 266, "professional_id": 8, "treatment_id": 4}, {"treatment_type_code": "VAC", "cost_of_treatment": 945, "professional_id": 8, "treatment_id": 13}, {"treatment_type_code": "WALK", "cost_of_treatment": 681, "professional_id": 7, "treatment_id": 10}], "bug_info": [{"category": "logic_bug", "description": "Off-by-2 in take: 10 \u2192 12", "line_num": 7, "original": "|> take(10)", "mutated": "|> take(12)"}], "difficulty": "hard", "domain": "dog_kennels__treatments", "num_nodes": 2, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_hard | {"datasets": {"works_on": [{"essn": 123456789, "pno": 1, "hours": 32.5}, {"essn": 123456789, "pno": 2, "hours": 7.5}, {"essn": 666884444, "pno": 3, "hours": 40.0}, {"essn": 453453453, "pno": 1, "hours": 20.0}, {"essn": 453453453, "pno": 2, "hours": 20.0}, {"essn": 333445555, "pno": 2, "hours": 10.0}, {"essn": 333445555, "pno": 3, "hours": 10.0}, {"essn": 333445555, "pno": 10, "hours": 10.0}, {"essn": 333445555, "pno": 20, "hours": 10.0}, {"essn": 999887777, "pno": 30, "hours": 30.0}, {"essn": 999887777, "pno": 10, "hours": 10.0}, {"essn": 987987987, "pno": 10, "hours": 35.0}, {"essn": 987987987, "pno": 30, "hours": 5.0}, {"essn": 987654321, "pno": 30, "hours": 20.0}, {"essn": 987654321, "pno": 20, "hours": 15.0}, {"essn": 888665555, "pno": 20, "hours": 0}]}, "correct_code": "-- Load company_1__works_on data\nworks_on = load(\"works_on\")\n\nfiltered_works_on = works_on\n |> filter(hours >= 8)\n\nresult = filtered_works_on\n |> sort_by(pno, asc)\n |> take(3)\n\nemit result", "buggy_code": "-- Load company_1__works_on data\nworks_on = load(\"works_on\")\n\nfiltered_works_on = works_on\n |> filter(hours >= 8)\n\nresult = filtered_works_on\n |> sort_by(hours, asc)\n |> take(3)\n\nemit result", "expected_output": [{"essn": 123456789, "pno": 1, "hours": 32.5}, {"essn": 453453453, "pno": 1, "hours": 20.0}, {"essn": 453453453, "pno": 2, "hours": 20.0}], "bug_info": [{"category": "wrong_col", "description": "Wrong column reference: 'pno' \u2192 'hours'", "line_num": 8, "original": "|> sort_by(pno, asc)", "mutated": "|> sort_by(hours, asc)"}], "difficulty": "hard", "domain": "company_1__works_on", "num_nodes": 3, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_hard | {"datasets": {"time_slot": [{"time_slot_id": "A", "day": "M", "start_hr": 8, "start_min": 0, "end_hr": 8, "end_min": 50}, {"time_slot_id": "A", "day": "W", "start_hr": 8, "start_min": 0, "end_hr": 8, "end_min": 50}, {"time_slot_id": "A", "day": "F", "start_hr": 8, "start_min": 0, "end_hr": 8, "end_min": 50}, {"time_slot_id": "B", "day": "M", "start_hr": 9, "start_min": 0, "end_hr": 9, "end_min": 50}, {"time_slot_id": "B", "day": "W", "start_hr": 9, "start_min": 0, "end_hr": 9, "end_min": 50}, {"time_slot_id": "B", "day": "F", "start_hr": 9, "start_min": 0, "end_hr": 9, "end_min": 50}, {"time_slot_id": "C", "day": "M", "start_hr": 11, "start_min": 0, "end_hr": 11, "end_min": 50}, {"time_slot_id": "C", "day": "W", "start_hr": 11, "start_min": 0, "end_hr": 11, "end_min": 50}, {"time_slot_id": "C", "day": "F", "start_hr": 11, "start_min": 0, "end_hr": 11, "end_min": 50}, {"time_slot_id": "D", "day": "M", "start_hr": 13, "start_min": 0, "end_hr": 13, "end_min": 50}, {"time_slot_id": "D", "day": "W", "start_hr": 13, "start_min": 0, "end_hr": 13, "end_min": 50}, {"time_slot_id": "D", "day": "F", "start_hr": 13, "start_min": 0, "end_hr": 13, "end_min": 50}, {"time_slot_id": "E", "day": "T", "start_hr": 10, "start_min": 30, "end_hr": 11, "end_min": 45}, {"time_slot_id": "E", "day": "R", "start_hr": 10, "start_min": 30, "end_hr": 11, "end_min": 45}, {"time_slot_id": "F", "day": "T", "start_hr": 14, "start_min": 30, "end_hr": 15, "end_min": 45}, {"time_slot_id": "F", "day": "R", "start_hr": 14, "start_min": 30, "end_hr": 15, "end_min": 45}, {"time_slot_id": "G", "day": "M", "start_hr": 16, "start_min": 0, "end_hr": 16, "end_min": 50}, {"time_slot_id": "G", "day": "W", "start_hr": 16, "start_min": 0, "end_hr": 16, "end_min": 50}, {"time_slot_id": "G", "day": "F", "start_hr": 16, "start_min": 0, "end_hr": 16, "end_min": 50}, {"time_slot_id": "H", "day": "W", "start_hr": 10, "start_min": 0, "end_hr": 12, "end_min": 30}]}, "correct_code": "-- Load college_2__time_slot data\ntime_slot = load(\"time_slot\")\n\nsummary = time_slot\n |> group_by(time_slot_id)\n |> aggregate(avg_end_min: avg(end_min), count: count())\n |> compute(computed_val: count + avg_end_min)\n\nresult = summary\n |> sort_by(avg_end_min, asc)\n |> take(3)\n\nemit result", "buggy_code": "-- Load college_2__time_slot data\ntime_slot = load(\"time_slot\")\n\nsummary = time_slot\n |> group_by(time_slot_id)\n |> aggregate(avg_end_min: avg(end_min), count: count())\n |> compute(computed_val: count + avg_end_min)\n\nresult = summary\n |> sort_by(avg_end_min, asc)\n |> take(1)\n\nemit result", "expected_output": [{"time_slot_id": "H", "avg_end_min": 30.0, "count": 1, "computed_val": 31.0}, {"time_slot_id": "E", "avg_end_min": 45.0, "count": 2, "computed_val": 47.0}, {"time_slot_id": "F", "avg_end_min": 45.0, "count": 2, "computed_val": 47.0}], "bug_info": [{"category": "logic_bug", "description": "Off-by-2 in take: 3 \u2192 1", "line_num": 11, "original": "|> take(3)", "mutated": "|> take(1)"}], "difficulty": "hard", "domain": "college_2__time_slot", "num_nodes": 3, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_hard | {"datasets": {"participants_in_events": [{"event_id": 3, "participant_id": 26}, {"event_id": 3, "participant_id": 66}, {"event_id": 8, "participant_id": 86}, {"event_id": 13, "participant_id": 64}, {"event_id": 13, "participant_id": 90}, {"event_id": 16, "participant_id": 60}, {"event_id": 17, "participant_id": 37}, {"event_id": 17, "participant_id": 66}, {"event_id": 38, "participant_id": 66}, {"event_id": 40, "participant_id": 37}, {"event_id": 40, "participant_id": 86}, {"event_id": 57, "participant_id": 90}, {"event_id": 60, "participant_id": 26}, {"event_id": 80, "participant_id": 36}, {"event_id": 80, "participant_id": 66}, {"event_id": 80, "participant_id": 96}, {"event_id": 95, "participant_id": 63}, {"event_id": 96, "participant_id": 90}], "participants": [{"participant_id": 9, "participant_type_code": "Organizer", "participant_details": "Karlee Batz"}, {"participant_id": 26, "participant_type_code": "Organizer", "participant_details": "Vilma Schinner"}, {"participant_id": 28, "participant_type_code": "Organizer", "participant_details": "Lupe Deckow"}, {"participant_id": 36, "participant_type_code": "Organizer", "participant_details": "Kenyatta Kuhn"}, {"participant_id": 37, "participant_type_code": "Participant", "participant_details": "Miss Kaci Lebsack"}, {"participant_id": 38, "participant_type_code": "Organizer", "participant_details": "Macy Mayer DDS"}, {"participant_id": 60, "participant_type_code": "Participant", "participant_details": "Dewitt Walter"}, {"participant_id": 63, "participant_type_code": "Participant", "participant_details": "Prof. Michelle Maggio Jr."}, {"participant_id": 64, "participant_type_code": "Participant", "participant_details": "Dr. Jaydon Renner"}, {"participant_id": 66, "participant_type_code": "Participant", "participant_details": "Justyn Lebsack"}, {"participant_id": 75, "participant_type_code": "Participant", "participant_details": "Berniece Weimann"}, {"participant_id": 86, "participant_type_code": "Organizer", "participant_details": "Neil Blick"}, {"participant_id": 90, "participant_type_code": "Participant", "participant_details": "Dedrick Ebert"}, {"participant_id": 96, "participant_type_code": "Organizer", "participant_details": "Miss Joyce Cremin"}, {"participant_id": 98, "participant_type_code": "Participant", "participant_details": "Dr. Kris Deckow"}]}, "correct_code": "-- Load local_govt_in_alabama__participants_in_events data\nparticipants_in_events = load(\"participants_in_events\")\n\nfiltered_participants_in_events = participants_in_events\n |> filter(event_id <= 49)\n\n-- Load lookup data\nparticipants = load(\"participants\")\n |> select(participant_details, participant_type_code, participant_id)\n\nenriched = join(filtered_participants_in_events, participants, on: participant_id == participant_id)\n |> compute(computed_val: event_id / participant_id)\n\nresult = enriched\n |> sort_by(participant_id, asc)\n |> take(5)\n\nemit result", "buggy_code": "-- Load local_govt_in_alabama__participants_in_events data\nparticipants_in_events = load(\"participants_in_events\")\n\nfiltered_participants_in_events = participants_in_events\n |> filter(event_id <= 49)\n\n-- Load lookup data\nparticipants = load(\"participants\")\n |> select(participant_details, participant_type_code, participant_id)\n\nenriched = join(filtered_participants_in_events, participants, on: participant_id == participant_id)\n |> compute(computed_val: event_id / participant_id)\n\nresult = enriched\n |> sort_by(participant_id, asc)\n |> take(7)\n\nemit result", "expected_output": [{"event_id": 3, "participant_id": 26, "participant_details": "Vilma Schinner", "participant_type_code": "Organizer", "computed_val": 0.11538461538461539}, {"event_id": 17, "participant_id": 37, "participant_details": "Miss Kaci Lebsack", "participant_type_code": "Participant", "computed_val": 0.4594594594594595}, {"event_id": 40, "participant_id": 37, "participant_details": "Miss Kaci Lebsack", "participant_type_code": "Participant", "computed_val": 1.0810810810810811}, {"event_id": 16, "participant_id": 60, "participant_details": "Dewitt Walter", "participant_type_code": "Participant", "computed_val": 0.26666666666666666}, {"event_id": 13, "participant_id": 64, "participant_details": "Dr. Jaydon Renner", "participant_type_code": "Participant", "computed_val": 0.203125}], "bug_info": [{"category": "logic_bug", "description": "Off-by-2 in take: 5 \u2192 7", "line_num": 16, "original": "|> take(5)", "mutated": "|> take(7)"}], "difficulty": "hard", "domain": "local_govt_in_alabama__participants_in_events", "num_nodes": 5, "has_join": true} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_medium | {"datasets": {"student": [{"stuid": 1001, "lname": "Smith", "fname": "Linda", "age": 18, "sex": "F", "major": 600, "advisor": 1121, "city_code": "BAL"}, {"stuid": 1002, "lname": "Kim", "fname": "Tracy", "age": 19, "sex": "F", "major": 600, "advisor": 7712, "city_code": "HKG"}, {"stuid": 1003, "lname": "Jones", "fname": "Shiela", "age": 21, "sex": "F", "major": 600, "advisor": 7792, "city_code": "WAS"}, {"stuid": 1004, "lname": "Kumar", "fname": "Dinesh", "age": 20, "sex": "M", "major": 600, "advisor": 8423, "city_code": "CHI"}, {"stuid": 1005, "lname": "Gompers", "fname": "Paul", "age": 26, "sex": "M", "major": 600, "advisor": 1121, "city_code": "YYZ"}, {"stuid": 1006, "lname": "Schultz", "fname": "Andy", "age": 18, "sex": "M", "major": 600, "advisor": 1148, "city_code": "BAL"}, {"stuid": 1007, "lname": "Apap", "fname": "Lisa", "age": 18, "sex": "F", "major": 600, "advisor": 8918, "city_code": "PIT"}, {"stuid": 1008, "lname": "Nelson", "fname": "Jandy", "age": 20, "sex": "F", "major": 600, "advisor": 9172, "city_code": "BAL"}, {"stuid": 1009, "lname": "Tai", "fname": "Eric", "age": 19, "sex": "M", "major": 600, "advisor": 2192, "city_code": "YYZ"}, {"stuid": 1010, "lname": "Lee", "fname": "Derek", "age": 17, "sex": "M", "major": 600, "advisor": 2192, "city_code": "HOU"}, {"stuid": 1011, "lname": "Adams", "fname": "David", "age": 22, "sex": "M", "major": 600, "advisor": 1148, "city_code": "PHL"}, {"stuid": 1012, "lname": "Davis", "fname": "Steven", "age": 20, "sex": "M", "major": 600, "advisor": 7723, "city_code": "PIT"}, {"stuid": 1014, "lname": "Norris", "fname": "Charles", "age": 18, "sex": "M", "major": 600, "advisor": 8741, "city_code": "DAL"}, {"stuid": 1015, "lname": "Lee", "fname": "Susan", "age": 16, "sex": "F", "major": 600, "advisor": 8721, "city_code": "HKG"}, {"stuid": 1016, "lname": "Schwartz", "fname": "Mark", "age": 17, "sex": "M", "major": 600, "advisor": 2192, "city_code": "DET"}, {"stuid": 1017, "lname": "Wilson", "fname": "Bruce", "age": 27, "sex": "M", "major": 600, "advisor": 1148, "city_code": "LON"}, {"stuid": 1018, "lname": "Leighton", "fname": "Michael", "age": 20, "sex": "M", "major": 600, "advisor": 1121, "city_code": "PIT"}, {"stuid": 1019, "lname": "Pang", "fname": "Arthur", "age": 18, "sex": "M", "major": 600, "advisor": 2192, "city_code": "WAS"}, {"stuid": 1020, "lname": "Thornton", "fname": "Ian", "age": 22, "sex": "M", "major": 520, "advisor": 7271, "city_code": "NYC"}, {"stuid": 1021, "lname": "Andreou", "fname": "George", "age": 19, "sex": "M", "major": 520, "advisor": 8722, "city_code": "NYC"}, {"stuid": 1022, "lname": "Woods", "fname": "Michael", "age": 17, "sex": "M", "major": 540, "advisor": 8722, "city_code": "PHL"}, {"stuid": 1023, "lname": "Shieber", "fname": "David", "age": 20, "sex": "M", "major": 520, "advisor": 8722, "city_code": "NYC"}, {"stuid": 1024, "lname": "Prater", "fname": "Stacy", "age": 18, "sex": "F", "major": 540, "advisor": 7271, "city_code": "BAL"}, {"stuid": 1025, "lname": "Goldman", "fname": "Mark", "age": 18, "sex": "M", "major": 520, "advisor": 7134, "city_code": "PIT"}, {"stuid": 1026, "lname": "Pang", "fname": "Eric", "age": 19, "sex": "M", "major": 520, "advisor": 7134, "city_code": "HKG"}, {"stuid": 1027, "lname": "Brody", "fname": "Paul", "age": 18, "sex": "M", "major": 520, "advisor": 8723, "city_code": "LOS"}, {"stuid": 1028, "lname": "Rugh", "fname": "Eric", "age": 20, "sex": "M", "major": 550, "advisor": 2311, "city_code": "ROC"}, {"stuid": 1029, "lname": "Han", "fname": "Jun", "age": 17, "sex": "M", "major": 100, "advisor": 2311, "city_code": "PEK"}, {"stuid": 1030, "lname": "Cheng", "fname": "Lisa", "age": 21, "sex": "F", "major": 550, "advisor": 2311, "city_code": "SFO"}, {"stuid": 1031, "lname": "Smith", "fname": "Sarah", "age": 20, "sex": "F", "major": 550, "advisor": 8772, "city_code": "PHL"}, {"stuid": 1032, "lname": "Brown", "fname": "Eric", "age": 20, "sex": "M", "major": 550, "advisor": 8772, "city_code": "ATL"}, {"stuid": 1033, "lname": "Simms", "fname": "William", "age": 18, "sex": "M", "major": 550, "advisor": 8772, "city_code": "NAR"}, {"stuid": 1034, "lname": "Epp", "fname": "Eric", "age": 18, "sex": "M", "major": 50, "advisor": 5718, "city_code": "BOS"}, {"stuid": 1035, "lname": "Schmidt", "fname": "Sarah", "age": 26, "sex": "F", "major": 50, "advisor": 5718, "city_code": "WAS"}], "minor_in": [{"stuid": 1004, "dno": 520}, {"stuid": 1005, "dno": 550}, {"stuid": 1006, "dno": 50}, {"stuid": 1007, "dno": 520}, {"stuid": 1008, "dno": 550}, {"stuid": 1014, "dno": 90}, {"stuid": 1015, "dno": 140}, {"stuid": 1016, "dno": 190}, {"stuid": 1027, "dno": 530}, {"stuid": 1031, "dno": 540}]}, "correct_code": "-- Load college_3__student data\nstudent = load(\"student\")\n\nfiltered_student = student\n |> filter(lname == \"Apap\")\n |> filter(major > 305)\n\nsummary = filtered_student\n |> group_by(lname)\n |> aggregate(avg_major: avg(major), count: count())\n |> compute(computed_val: avg_major / count)\n\nresult = summary\n |> sort_by(count, desc)\n |> take(5)\n\nemit result", "buggy_code": "-- Load college_3__student data\nstudent = load(\"student\")\n\nfiltered_student = student\n |> filter(lname == \"Apap\")\n |>= filter(major > 305)\n\nsummary = filtered_student\n |> group_by(lname)\n |> aggregate(avg_major: avg(major), count: count())\n |> compute(computed_val: avg_major / count)\n\nresult = summary\n |> sort_by(count, desc)\n |> take(5)\n\nemit result", "expected_output": [{"lname": "Apap", "avg_major": 600.0, "count": 1, "computed_val": 600.0}], "bug_info": [{"category": "wrong_arg", "description": "Wrong comparison operator: '>' \u2192 '>='", "line_num": 6, "original": "|> filter(major > 305)", "mutated": "|>= filter(major > 305)"}], "difficulty": "medium", "domain": "college_3__student", "num_nodes": 4, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_medium | {"datasets": {"status": [{"statusid": 1, "status": "Finished"}, {"statusid": 2, "status": "Disqualified"}, {"statusid": 3, "status": "Accident"}, {"statusid": 4, "status": "Collision"}, {"statusid": 5, "status": "Engine"}, {"statusid": 6, "status": "Gearbox"}, {"statusid": 7, "status": "Transmission"}, {"statusid": 8, "status": "Clutch"}, {"statusid": 9, "status": "Hydraulics"}, {"statusid": 10, "status": "Electrical"}, {"statusid": 11, "status": "+1 Lap"}, {"statusid": 12, "status": "+2 Laps"}, {"statusid": 13, "status": "+3 Laps"}, {"statusid": 14, "status": "+4 Laps"}, {"statusid": 15, "status": "+5 Laps"}, {"statusid": 16, "status": "+6 Laps"}, {"statusid": 17, "status": "+7 Laps"}, {"statusid": 18, "status": "+8 Laps"}, {"statusid": 19, "status": "+9 Laps"}, {"statusid": 20, "status": "Spun off"}, {"statusid": 21, "status": "Radiator"}, {"statusid": 22, "status": "Suspension"}, {"statusid": 23, "status": "Brakes"}, {"statusid": 24, "status": "Differential"}, {"statusid": 25, "status": "Overheating"}, {"statusid": 26, "status": "Mechanical"}, {"statusid": 27, "status": "Tyre"}, {"statusid": 28, "status": "Driver Seat"}, {"statusid": 29, "status": "Puncture"}, {"statusid": 30, "status": "Driveshaft"}, {"statusid": 31, "status": "Retired"}, {"statusid": 32, "status": "Fuel pressure"}, {"statusid": 33, "status": "Front wing"}, {"statusid": 34, "status": "Water pressure"}, {"statusid": 35, "status": "Refuelling"}, {"statusid": 36, "status": "Wheel"}, {"statusid": 37, "status": "Throttle"}, {"statusid": 38, "status": "Steering"}, {"statusid": 39, "status": "Technical"}, {"statusid": 40, "status": "Electronics"}, {"statusid": 41, "status": "Broken wing"}, {"statusid": 42, "status": "Heat shield fire"}, {"statusid": 43, "status": "Exhaust"}, {"statusid": 44, "status": "Oil leak"}, {"statusid": 45, "status": "+11 Laps"}, {"statusid": 46, "status": "Wheel rim"}, {"statusid": 47, "status": "Water leak"}, {"statusid": 48, "status": "Fuel pump"}, {"statusid": 49, "status": "Track rod"}, {"statusid": 50, "status": "+17 Laps"}, {"statusid": 51, "status": "Oil pressure"}, {"statusid": 53, "status": "+13 Laps"}, {"statusid": 54, "status": "Withdrew"}, {"statusid": 55, "status": "+12 Laps"}, {"statusid": 56, "status": "Engine fire"}, {"statusid": 58, "status": "+26 Laps"}, {"statusid": 59, "status": "Tyre puncture"}, {"statusid": 60, "status": "Out of fuel"}, {"statusid": 61, "status": "Wheel nut"}, {"statusid": 62, "status": "Not classified"}, {"statusid": 63, "status": "Pneumatics"}, {"statusid": 64, "status": "Handling"}, {"statusid": 65, "status": "Rear wing"}, {"statusid": 66, "status": "Fire"}, {"statusid": 67, "status": "Wheel bearing"}, {"statusid": 68, "status": "Physical"}, {"statusid": 69, "status": "Fuel system"}, {"statusid": 70, "status": "Oil line"}, {"statusid": 71, "status": "Fuel rig"}, {"statusid": 72, "status": "Launch control"}, {"statusid": 73, "status": "Injured"}, {"statusid": 74, "status": "Fuel"}, {"statusid": 75, "status": "Power loss"}, {"statusid": 76, "status": "Vibrations"}, {"statusid": 77, "status": "107% Rule"}, {"statusid": 78, "status": "Safety"}, {"statusid": 79, "status": "Drivetrain"}, {"statusid": 80, "status": "Ignition"}, {"statusid": 81, "status": "Did not qualify"}, {"statusid": 82, "status": "Injury"}, {"statusid": 83, "status": "Chassis"}, {"statusid": 84, "status": "Battery"}, {"statusid": 85, "status": "Stalled"}, {"statusid": 86, "status": "Halfshaft"}, {"statusid": 87, "status": "Crankshaft"}, {"statusid": 88, "status": "+10 Laps"}, {"statusid": 89, "status": "Safety concerns"}, {"statusid": 90, "status": "Not restarted"}, {"statusid": 91, "status": "Alternator"}, {"statusid": 92, "status": "Underweight"}, {"statusid": 93, "status": "Safety belt"}, {"statusid": 94, "status": "Oil pump"}, {"statusid": 95, "status": "Fuel leak"}, {"statusid": 96, "status": "Excluded"}, {"statusid": 97, "status": "Did not prequalify"}, {"statusid": 98, "status": "Injection"}, {"statusid": 99, "status": "Distributor"}, {"statusid": 100, "status": "Driver unwell"}, {"statusid": 101, "status": "Turbo"}, {"statusid": 102, "status": "CV joint"}, {"statusid": 103, "status": "Water pump"}, {"statusid": 104, "status": "Fatal accident"}, {"statusid": 105, "status": "Spark plugs"}, {"statusid": 106, "status": "Fuel pipe"}, {"statusid": 107, "status": "Eye injury"}, {"statusid": 108, "status": "Oil pipe"}, {"statusid": 109, "status": "Axle"}, {"statusid": 110, "status": "Water pipe"}, {"statusid": 111, "status": "+14 Laps"}, {"statusid": 112, "status": "+15 Laps"}, {"statusid": 113, "status": "+25 Laps"}, {"statusid": 114, "status": "+18 Laps"}, {"statusid": 115, "status": "+22 Laps"}, {"statusid": 116, "status": "+16 Laps"}, {"statusid": 117, "status": "+24 Laps"}, {"statusid": 118, "status": "+29 Laps"}, {"statusid": 119, "status": "+23 Laps"}, {"statusid": 120, "status": "+21 Laps"}, {"statusid": 121, "status": "Magneto"}, {"statusid": 122, "status": "+44 Laps"}, {"statusid": 123, "status": "+30 Laps"}, {"statusid": 124, "status": "+19 Laps"}, {"statusid": 125, "status": "+46 Laps"}, {"statusid": 126, "status": "Supercharger"}, {"statusid": 127, "status": "+20 Laps"}, {"statusid": 128, "status": "+42 Laps"}, {"statusid": 129, "status": "Engine misfire"}, {"statusid": 130, "status": "Collision damage"}, {"statusid": 131, "status": "Power Unit"}, {"statusid": 132, "status": "ERS"}, {"statusid": 133, "status": "+49 Laps"}, {"statusid": 134, "status": "+38 Laps"}, {"statusid": 135, "status": "Brake duct"}, {"statusid": 136, "status": "Seat"}]}, "correct_code": "-- Load formula_1__status data\nstatus = load(\"status\")\n\nfiltered_status = status\n |> filter(status == \"Water leak\")\n |> filter(statusid > 8)\n |> select(status, statusid)\n\nsummary = filtered_status\n |> group_by(status)\n |> aggregate(max_statusid: max(statusid), count: count())\n\nresult = summary\n |> sort_by(count, asc)\n |> take(10)\n\nemit result", "buggy_code": "-- Load formula_1__status data\nstatus = load(\"status\")\n\nfiltered_status = status\n |> filter(status == \"Water leak\")\n |> filter(statusid > 8)\n |> select(max_statusid, statusid)\n\nsummary = filtered_status\n |> group_by(status)\n |> aggregate(max_statusid: max(statusid), count: count())\n\nresult = summary\n |> sort_by(count, asc)\n |> take(10)\n\nemit result", "expected_output": [{"status": "Water leak", "max_statusid": 47, "count": 1}], "bug_info": [{"category": "wrong_col", "description": "Wrong column reference: 'status' \u2192 'max_statusid'", "line_num": 7, "original": "|> select(status, statusid)", "mutated": "|> select(max_statusid, statusid)"}], "difficulty": "medium", "domain": "formula_1__status", "num_nodes": 4, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_medium | {"datasets": {"participants_in_events": [{"event_id": 3, "participant_id": 26}, {"event_id": 3, "participant_id": 66}, {"event_id": 8, "participant_id": 86}, {"event_id": 13, "participant_id": 64}, {"event_id": 13, "participant_id": 90}, {"event_id": 16, "participant_id": 60}, {"event_id": 17, "participant_id": 37}, {"event_id": 17, "participant_id": 66}, {"event_id": 38, "participant_id": 66}, {"event_id": 40, "participant_id": 37}, {"event_id": 40, "participant_id": 86}, {"event_id": 57, "participant_id": 90}, {"event_id": 60, "participant_id": 26}, {"event_id": 80, "participant_id": 36}, {"event_id": 80, "participant_id": 66}, {"event_id": 80, "participant_id": 96}, {"event_id": 95, "participant_id": 63}, {"event_id": 96, "participant_id": 90}], "participants": [{"participant_id": 9, "participant_type_code": "Organizer", "participant_details": "Karlee Batz"}, {"participant_id": 26, "participant_type_code": "Organizer", "participant_details": "Vilma Schinner"}, {"participant_id": 28, "participant_type_code": "Organizer", "participant_details": "Lupe Deckow"}, {"participant_id": 36, "participant_type_code": "Organizer", "participant_details": "Kenyatta Kuhn"}, {"participant_id": 37, "participant_type_code": "Participant", "participant_details": "Miss Kaci Lebsack"}, {"participant_id": 38, "participant_type_code": "Organizer", "participant_details": "Macy Mayer DDS"}, {"participant_id": 60, "participant_type_code": "Participant", "participant_details": "Dewitt Walter"}, {"participant_id": 63, "participant_type_code": "Participant", "participant_details": "Prof. Michelle Maggio Jr."}, {"participant_id": 64, "participant_type_code": "Participant", "participant_details": "Dr. Jaydon Renner"}, {"participant_id": 66, "participant_type_code": "Participant", "participant_details": "Justyn Lebsack"}, {"participant_id": 75, "participant_type_code": "Participant", "participant_details": "Berniece Weimann"}, {"participant_id": 86, "participant_type_code": "Organizer", "participant_details": "Neil Blick"}, {"participant_id": 90, "participant_type_code": "Participant", "participant_details": "Dedrick Ebert"}, {"participant_id": 96, "participant_type_code": "Organizer", "participant_details": "Miss Joyce Cremin"}, {"participant_id": 98, "participant_type_code": "Participant", "participant_details": "Dr. Kris Deckow"}]}, "correct_code": "-- Load local_govt_in_alabama__participants_in_events data\nparticipants_in_events = load(\"participants_in_events\")\n\nfiltered_participants_in_events = participants_in_events\n |> filter(participant_id < 30)\n\n-- Load lookup data\nparticipants = load(\"participants\")\n |> select(participant_type_code, participant_id, participant_details)\n\nenriched = join(filtered_participants_in_events, participants, on: participant_id == participant_id)\n\nresult = enriched\n |> sort_by(event_id, asc)\n |> take(10)\n\nemit result", "buggy_code": "-- Load local_govt_in_alabama__participants_in_events data\nparticipants_in_events = load(\"participants_in_events\")\n\nfiltered_participants_in_events = participants_in_events\n |> filter(participant_id > 30)\n\n-- Load lookup data\nparticipants = load(\"participants\")\n |> select(participant_type_code, participant_id, participant_details)\n\nenriched = join(filtered_participants_in_events, participants, on: participant_id == participant_id)\n\nresult = enriched\n |> sort_by(event_id, asc)\n |> take(8)\n\nemit result", "expected_output": [{"event_id": 3, "participant_id": 26, "participant_type_code": "Organizer", "participant_details": "Vilma Schinner"}, {"event_id": 60, "participant_id": 26, "participant_type_code": "Organizer", "participant_details": "Vilma Schinner"}], "bug_info": [{"category": "logic_bug", "description": "Off-by-2 in take: 10 \u2192 8", "line_num": 15, "original": "|> take(10)", "mutated": "|> take(8)"}, {"category": "wrong_arg", "description": "Wrong comparison operator: '<' \u2192 '>'", "line_num": 5, "original": "|> filter(participant_id < 30)", "mutated": "|> filter(participant_id > 30)"}], "difficulty": "medium", "domain": "local_govt_in_alabama__participants_in_events", "num_nodes": 5, "has_join": true} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_medium | {"datasets": {"problems": [{"problem_id": 1, "product_id": 4, "closure_authorised_by_staff_id": 4, "reported_by_staff_id": 2, "date_problem_reported": "1978-06-26 19:10:17", "date_problem_closed": "2012-07-22 19:24:26", "problem_description": "x", "other_problem_details": "p"}, {"problem_id": 2, "product_id": 8, "closure_authorised_by_staff_id": 3, "reported_by_staff_id": 10, "date_problem_reported": "1988-11-07 16:09:31", "date_problem_closed": "1973-06-07 04:13:51", "problem_description": "w", "other_problem_details": "p"}, {"problem_id": 3, "product_id": 1, "closure_authorised_by_staff_id": 4, "reported_by_staff_id": 1, "date_problem_reported": "1995-05-14 08:32:56", "date_problem_closed": "1997-02-26 05:06:15", "problem_description": "r", "other_problem_details": "i"}, {"problem_id": 4, "product_id": 13, "closure_authorised_by_staff_id": 8, 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"product": [{"product_id": 1, "product_name": "rose", "product_details": "k"}, {"product_id": 2, "product_name": "yellow", "product_details": "q"}, {"product_id": 3, "product_name": "chat", "product_details": "e"}, {"product_id": 4, "product_name": "wechat", "product_details": "r"}, {"product_id": 5, "product_name": "life", "product_details": "q"}, {"product_id": 6, "product_name": "keep", "product_details": "d"}, {"product_id": 7, "product_name": "messager", "product_details": "m"}, {"product_id": 8, "product_name": "hangout", "product_details": "u"}, {"product_id": 9, "product_name": "twitter", "product_details": "z"}, {"product_id": 10, "product_name": "blog", "product_details": "d"}, {"product_id": 11, "product_name": "snapchat", "product_details": "e"}, {"product_id": 12, "product_name": "doulingo", "product_details": "q"}, {"product_id": 13, "product_name": "learn", "product_details": "h"}, {"product_id": 14, "product_name": "teach", "product_details": "n"}, {"product_id": 15, "product_name": "game", "product_details": "j"}]}, "correct_code": "-- Load tracking_software_problems__problems data\nproblems = load(\"problems\")\n\nfiltered_problems = problems\n |> filter(date_problem_reported == \"1970-10-27 16:35:34\")\n |> select(date_problem_reported, closure_authorised_by_staff_id, problem_id, reported_by_staff_id)\n\nresult = filtered_problems\n |> sort_by(closure_authorised_by_staff_id, asc)\n |> take(5)\n\nemit result", "buggy_code": "-- Load tracking_software_problems__problems data\nproblems = load(\"problems\")\n\nfiltered_problems = problems\n |> filter(date_problem_reported == \"1970-10-27 16:35:34\")\n |> select(date_problem_reported, 16, problem_id, reported_by_staff_id)\n\nresult = filtered_problems\n |> sort_by(closure_authorised_by_staff_id, asc)\n |> take(5)\n\nemit result", "expected_output": [{"date_problem_reported": "1970-10-27 16:35:34", "closure_authorised_by_staff_id": 9, "problem_id": 15, "reported_by_staff_id": 10}], "bug_info": [{"category": "wrong_col", "description": "Wrong column reference: 'closure_authorised_by_staff_id' \u2192 '16'", "line_num": 6, "original": "|> select(date_problem_reported, closure_authorised_by_staff_id, problem_id, reported_by_staff_id)", "mutated": "|> select(date_problem_reported, 16, problem_id, reported_by_staff_id)"}], "difficulty": "medium", "domain": "tracking_software_problems__problems", "num_nodes": 3, "has_join": false} |
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"British", "url": "http://en.wikipedia.org/wiki/Team_Lotus"}, {"constructorid": 173, "constructorref": "lotus-maserati", "name": "Lotus-Maserati", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_Lotus"}, {"constructorid": 174, "constructorref": "de_tomaso-osca", "name": "De Tomaso-Osca", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/De_Tomaso"}, {"constructorid": 175, "constructorref": "de_tomaso-alfa_romeo", "name": "De Tomaso-Alfa Romeo", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/De_Tomaso"}, {"constructorid": 176, "constructorref": "lotus-brm", "name": "Lotus-BRM", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_Lotus"}, {"constructorid": 177, "constructorref": "lotus-borgward", "name": "Lotus-Borgward", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_Lotus"}, {"constructorid": 178, "constructorref": "cooper-alfa_romeo", "name": "Cooper-Alfa Romeo", "nationality": "British", "url": 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"http://en.wikipedia.org/wiki/LDS_(automobile)"}, {"constructorid": 185, "constructorref": "lds-alfa_romeo", "name": "LDS-Alfa Romeo", "nationality": "South African", "url": "http://en.wikipedia.org/wiki/LDS_(automobile)"}, {"constructorid": 186, "constructorref": "cooper-ford", "name": "Cooper-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 187, "constructorref": "mclaren-ford", "name": "McLaren-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_McLaren"}, {"constructorid": 188, "constructorref": "mclaren-seren", "name": "McLaren-Serenissima", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_McLaren"}, {"constructorid": 189, "constructorref": "eagle-climax", "name": "Eagle-Climax", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Anglo_American_Racers"}, {"constructorid": 190, "constructorref": "eagle-weslake", "name": "Eagle-Weslake", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Anglo_American_Racers"}, {"constructorid": 191, "constructorref": "brabham-repco", "name": "Brabham-Repco", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Brabham"}, {"constructorid": 192, "constructorref": "cooper-ferrari", "name": "Cooper-Ferrari", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 193, "constructorref": "cooper-ats", "name": "Cooper-ATS", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 194, "constructorref": "mclaren-brm", "name": "McLaren-BRM", "nationality": "British", "url": "http://en.wikipedia.org/wiki/McLaren_(racing)"}, {"constructorid": 195, "constructorref": "cooper-brm", "name": "Cooper-BRM", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 196, "constructorref": "matra-ford", "name": "Matra-Ford", "nationality": "French", "url": "http://en.wikipedia.org/wiki/Matra"}, {"constructorid": 197, "constructorref": "brm-ford", "name": "BRM-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/BRM"}, {"constructorid": 198, "constructorref": "mclaren-alfa_romeo", "name": "McLaren-Alfa Romeo", "nationality": "British", "url": "http://en.wikipedia.org/wiki/McLaren_(racing)"}, {"constructorid": 199, "constructorref": "march-alfa_romeo", "name": "March-Alfa Romeo", "nationality": "British", "url": "http://en.wikipedia.org/wiki/March_Engineering"}, {"constructorid": 200, "constructorref": "march-ford", "name": "March-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/March_Engineering"}, {"constructorid": 201, "constructorref": "lotus-pw", "name": "Lotus-Pratt & Whitney", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_Lotus"}, {"constructorid": 202, "constructorref": "shadow-ford", "name": "Shadow-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Shadow_Racing_Cars"}]}, "correct_code": "-- Load formula_1__constructorresults data\nconstructorresults = load(\"constructorresults\")\n\nfiltered_constructorresults = constructorresults\n |> filter(status == \"NULL\")\n\nsummary = filtered_constructorresults\n |> group_by(status)\n |> aggregate(min_constructorid: min(constructorid), count: count())\n\nresult = summary\n |> sort_by(count, asc)\n |> take(3)\n\nemit result", "buggy_code": "-- Load formula_1__constructorresults data\nconstructorresults = load(\"constructorresults\")\n\nfiltered_constructorresults = constructorresults\n |> filter(status == \"NULL\")\n\nsummary = filtered_constructorresults\n |> group_by(min_constructorid)\n |> aggregate(min_constructorid: min(constructorid), count: count())\n\nresult = summary\n |> sort_by(count, asc)\n |> take(3)\n\nemit result", "expected_output": [{"status": "NULL", "min_constructorid": 1, "count": 198}], "bug_info": [{"category": "wrong_col", "description": "Wrong column reference: 'status' \u2192 'min_constructorid'", "line_num": 8, "original": "|> group_by(status)", "mutated": "|> group_by(min_constructorid)"}], "difficulty": "hard", "domain": "formula_1__constructorresults", "num_nodes": 4, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_hard | {"datasets": {"weather": [{"date": "8/29/2013", "max_temperature_f": 74, "mean_temperature_f": 68, "min_temperature_f": 61, "max_dew_point_f": 61, "mean_dew_point_f": 58, "min_dew_point_f": 56, "max_humidity": 93, "mean_humidity": 75, "min_humidity": 57, "max_sea_level_pressure_inches": 30.07, "mean_sea_level_pressure_inches": 30.02, "min_sea_level_pressure_inches": 29.97, "max_visibility_miles": 10, "mean_visibility_miles": 10, "min_visibility_miles": 10, "max_wind_speed_mph": 23, "mean_wind_speed_mph": 11, "max_gust_speed_mph": 28, "precipitation_inches": 0, "cloud_cover": 4, "events": "", "wind_dir_degrees": 286, "zip_code": 94107}, {"date": "8/30/2013", "max_temperature_f": 78, "mean_temperature_f": 69, "min_temperature_f": 60, "max_dew_point_f": 61, "mean_dew_point_f": 58, "min_dew_point_f": 56, "max_humidity": 90, "mean_humidity": 70, "min_humidity": 50, 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"max_humidity": 88, "mean_humidity": 72, "min_humidity": 50, "max_sea_level_pressure_inches": 30, "mean_sea_level_pressure_inches": 29.96, "min_sea_level_pressure_inches": 29.92, "max_visibility_miles": 10, "mean_visibility_miles": 10, "min_visibility_miles": 10, "max_wind_speed_mph": 13, "mean_wind_speed_mph": 4, "max_gust_speed_mph": "", "precipitation_inches": 0, "cloud_cover": 1, "events": "", "wind_dir_degrees": 324, "zip_code": 94063}, {"date": "9/1/2013", "max_temperature_f": 80, "mean_temperature_f": 71, "min_temperature_f": 62, "max_dew_point_f": 61, "mean_dew_point_f": 57, "min_dew_point_f": 55, "max_humidity": 82, "mean_humidity": 72, "min_humidity": 42, "max_sea_level_pressure_inches": 29.97, "mean_sea_level_pressure_inches": 29.94, "min_sea_level_pressure_inches": 29.89, "max_visibility_miles": 10, "mean_visibility_miles": 10, "min_visibility_miles": 10, "max_wind_speed_mph": 13, "mean_wind_speed_mph": 5, "max_gust_speed_mph": 17, "precipitation_inches": 0, "cloud_cover": 3, "events": "", "wind_dir_degrees": 294, "zip_code": 94063}, {"date": "9/2/2013", "max_temperature_f": 77, "mean_temperature_f": 70, "min_temperature_f": 64, "max_dew_point_f": 64, "mean_dew_point_f": 61, "min_dew_point_f": 57, "max_humidity": 88, "mean_humidity": 79, "min_humidity": 57, "max_sea_level_pressure_inches": 29.98, "mean_sea_level_pressure_inches": 29.94, "min_sea_level_pressure_inches": 29.9, "max_visibility_miles": 10, "mean_visibility_miles": 10, "min_visibility_miles": 10, "max_wind_speed_mph": 13, "mean_wind_speed_mph": 6, "max_gust_speed_mph": 17, "precipitation_inches": 0, "cloud_cover": 4, "events": "", "wind_dir_degrees": 291, "zip_code": 94063}, {"date": "9/3/2013", "max_temperature_f": 77, "mean_temperature_f": 68, "min_temperature_f": 59, "max_dew_point_f": 59, "mean_dew_point_f": 55, "min_dew_point_f": 48, "max_humidity": 83, "mean_humidity": 71, "min_humidity": 36, "max_sea_level_pressure_inches": 30.02, "mean_sea_level_pressure_inches": 29.98, "min_sea_level_pressure_inches": 29.96, "max_visibility_miles": 10, "mean_visibility_miles": 10, "min_visibility_miles": 10, "max_wind_speed_mph": 16, "mean_wind_speed_mph": 5, "max_gust_speed_mph": 20, "precipitation_inches": 0, "cloud_cover": 0, "events": "", "wind_dir_degrees": 284, "zip_code": 94063}, {"date": "9/4/2013", "max_temperature_f": 75, "mean_temperature_f": 68, "min_temperature_f": 60, "max_dew_point_f": 57, "mean_dew_point_f": 56, "min_dew_point_f": 50, "max_humidity": 82, "mean_humidity": 73, "min_humidity": 41, "max_sea_level_pressure_inches": 30.05, "mean_sea_level_pressure_inches": 30.01, "min_sea_level_pressure_inches": 29.98, "max_visibility_miles": 10, "mean_visibility_miles": 10, "min_visibility_miles": 10, "max_wind_speed_mph": 17, "mean_wind_speed_mph": 6, "max_gust_speed_mph": 23, "precipitation_inches": 0, "cloud_cover": 1, "events": "", "wind_dir_degrees": 277, "zip_code": 94063}, {"date": "9/5/2013", "max_temperature_f": 75, "mean_temperature_f": 68, "min_temperature_f": 62, "max_dew_point_f": 57, "mean_dew_point_f": 55, "min_dew_point_f": 50, "max_humidity": 82, "mean_humidity": 70, "min_humidity": 41, "max_sea_level_pressure_inches": 30.03, "mean_sea_level_pressure_inches": 30, "min_sea_level_pressure_inches": 29.98, "max_visibility_miles": 10, "mean_visibility_miles": 10, "min_visibility_miles": 10, "max_wind_speed_mph": 21, "mean_wind_speed_mph": 8, "max_gust_speed_mph": 25, "precipitation_inches": 0, "cloud_cover": 3, "events": "", "wind_dir_degrees": 279, "zip_code": 94063}, {"date": "9/6/2013", "max_temperature_f": 89, "mean_temperature_f": 73, "min_temperature_f": 57, "max_dew_point_f": 59, "mean_dew_point_f": 51, "min_dew_point_f": 45, "max_humidity": 88, "mean_humidity": 60, "min_humidity": 24, "max_sea_level_pressure_inches": 30.01, "mean_sea_level_pressure_inches": 29.94, "min_sea_level_pressure_inches": 29.83, "max_visibility_miles": 10, "mean_visibility_miles": 10, "min_visibility_miles": 10, "max_wind_speed_mph": 10, "mean_wind_speed_mph": 1, "max_gust_speed_mph": "", "precipitation_inches": 0, "cloud_cover": 0, "events": "", "wind_dir_degrees": 295, "zip_code": 94063}, {"date": "9/7/2013", "max_temperature_f": 91, "mean_temperature_f": 78, "min_temperature_f": 64, "max_dew_point_f": 61, "mean_dew_point_f": 52, "min_dew_point_f": 46, "max_humidity": 77, "mean_humidity": 55, "min_humidity": 23, "max_sea_level_pressure_inches": 29.89, "mean_sea_level_pressure_inches": 29.85, "min_sea_level_pressure_inches": 29.8, "max_visibility_miles": 10, "mean_visibility_miles": 10, "min_visibility_miles": 10, "max_wind_speed_mph": 12, "mean_wind_speed_mph": 3, "max_gust_speed_mph": "", "precipitation_inches": 0, "cloud_cover": 0, "events": "", "wind_dir_degrees": 327, "zip_code": 94063}, {"date": "9/8/2013", "max_temperature_f": 78, "mean_temperature_f": 68, "min_temperature_f": 59, "max_dew_point_f": 61, "mean_dew_point_f": 57, "min_dew_point_f": 54, "max_humidity": 88, "mean_humidity": 77, "min_humidity": 44, "max_sea_level_pressure_inches": 29.89, "mean_sea_level_pressure_inches": 29.85, "min_sea_level_pressure_inches": 29.76, "max_visibility_miles": 10, "mean_visibility_miles": 10, "min_visibility_miles": 10, "max_wind_speed_mph": 8, "mean_wind_speed_mph": 3, "max_gust_speed_mph": "", "precipitation_inches": 0, "cloud_cover": 0, "events": "", "wind_dir_degrees": 350, "zip_code": 94063}, {"date": "9/9/2013", "max_temperature_f": 87, "mean_temperature_f": 73, "min_temperature_f": 59, "max_dew_point_f": 63, "mean_dew_point_f": 57, "min_dew_point_f": 48, "max_humidity": 88, "mean_humidity": 77, "min_humidity": 25, "max_sea_level_pressure_inches": 29.83, "mean_sea_level_pressure_inches": 29.78, "min_sea_level_pressure_inches": 29.72, "max_visibility_miles": 10, "mean_visibility_miles": 10, "min_visibility_miles": 10, "max_wind_speed_mph": 12, "mean_wind_speed_mph": 3, "max_gust_speed_mph": "", "precipitation_inches": 0, "cloud_cover": 0, "events": "", "wind_dir_degrees": 336, "zip_code": 94063}, {"date": "9/10/2013", "max_temperature_f": 77, "mean_temperature_f": 70, "min_temperature_f": 62, "max_dew_point_f": 63, "mean_dew_point_f": 57, "min_dew_point_f": 55, "max_humidity": 88, "mean_humidity": 76, "min_humidity": 50, "max_sea_level_pressure_inches": 29.91, "mean_sea_level_pressure_inches": 29.81, "min_sea_level_pressure_inches": 29.76, "max_visibility_miles": 10, "mean_visibility_miles": 10, "min_visibility_miles": 10, "max_wind_speed_mph": 16, "mean_wind_speed_mph": 3, "max_gust_speed_mph": 17, "precipitation_inches": 0, "cloud_cover": 3, "events": "", "wind_dir_degrees": 298, "zip_code": 94063}, {"date": "9/11/2013", "max_temperature_f": 75, "mean_temperature_f": 67, "min_temperature_f": 59, "max_dew_point_f": 59, "mean_dew_point_f": 56, "min_dew_point_f": 54, "max_humidity": 82, "mean_humidity": 74, "min_humidity": 53, "max_sea_level_pressure_inches": 30, "mean_sea_level_pressure_inches": 29.95, "min_sea_level_pressure_inches": 29.91, "max_visibility_miles": 10, "mean_visibility_miles": 10, "min_visibility_miles": 10, "max_wind_speed_mph": 18, "mean_wind_speed_mph": 4, "max_gust_speed_mph": 23, "precipitation_inches": 0, "cloud_cover": 2, "events": "", "wind_dir_degrees": 267, "zip_code": 94063}, {"date": "9/12/2013", "max_temperature_f": 75, "mean_temperature_f": 68, "min_temperature_f": 60, "max_dew_point_f": 61, "mean_dew_point_f": 57, "min_dew_point_f": 55, "max_humidity": 88, "mean_humidity": 78, "min_humidity": 57, "max_sea_level_pressure_inches": 30, "mean_sea_level_pressure_inches": 29.96, "min_sea_level_pressure_inches": 29.9, "max_visibility_miles": 10, "mean_visibility_miles": 10, "min_visibility_miles": 10, "max_wind_speed_mph": 20, "mean_wind_speed_mph": 3, "max_gust_speed_mph": 18, "precipitation_inches": 0, "cloud_cover": 5, "events": "", "wind_dir_degrees": 297, "zip_code": 94063}, {"date": "9/13/2013", "max_temperature_f": 75, "mean_temperature_f": 67, "min_temperature_f": 59, "max_dew_point_f": 59, "mean_dew_point_f": 55, "min_dew_point_f": 52, "max_humidity": 88, "mean_humidity": 77, "min_humidity": 50, "max_sea_level_pressure_inches": 29.93, "mean_sea_level_pressure_inches": 29.88, "min_sea_level_pressure_inches": 29.8, "max_visibility_miles": 10, "mean_visibility_miles": 10, "min_visibility_miles": 10, "max_wind_speed_mph": 15, "mean_wind_speed_mph": 6, "max_gust_speed_mph": "", "precipitation_inches": 0, "cloud_cover": 4, "events": "", "wind_dir_degrees": 294, "zip_code": 94063}]}, "correct_code": "-- Load bike_1__weather data\nweather = load(\"weather\")\n\nfiltered_weather = weather\n |> filter(date == \"9/11/2013\")\n |> select(date, mean_wind_speed_mph, min_dew_point_f, mean_visibility_miles, max_temperature_f)\n |> compute(computed_val: mean_wind_speed_mph + min_dew_point_f)\n\nresult = filtered_weather\n |> sort_by(mean_visibility_miles, asc)\n |> take(10)\n\nemit result", "buggy_code": "-- Load bike_1__weather data\nweather = load(\"weather\")\n\nfiltered_weather = weather\n |> filter(date == \"9/11/2013\")\n |> select(date, mean_wind_speed_mph, min_dew_point_f, mean_visibility_miles, max_temperature_f)\n |> compute(date: mean_wind_speed_mph + min_dew_point_f)\n\nresult = filtered_weather\n |> sort_by(mean_visibility_miles, asc)\n |> take(10)\n\nemit result", "expected_output": [{"date": "9/11/2013", "mean_wind_speed_mph": 9, "min_dew_point_f": 54, "mean_visibility_miles": 10, "max_temperature_f": 74, "computed_val": 63}, {"date": "9/11/2013", "mean_wind_speed_mph": 4, "min_dew_point_f": 54, "mean_visibility_miles": 10, "max_temperature_f": 75, "computed_val": 58}], "bug_info": [{"category": "wrong_col", "description": "Wrong column reference: 'computed_val' \u2192 'date'", "line_num": 7, "original": "|> compute(computed_val: mean_wind_speed_mph + min_dew_point_f)", "mutated": "|> compute(date: mean_wind_speed_mph + min_dew_point_f)"}], "difficulty": "hard", "domain": "bike_1__weather", "num_nodes": 3, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_hard | {"datasets": {"regular_orders": [{"regular_order_id": 1, "distributer_id": 12}, {"regular_order_id": 2, "distributer_id": 15}, {"regular_order_id": 3, "distributer_id": 6}, {"regular_order_id": 4, "distributer_id": 3}, {"regular_order_id": 5, "distributer_id": 8}, {"regular_order_id": 6, "distributer_id": 14}, {"regular_order_id": 7, "distributer_id": 2}, {"regular_order_id": 8, "distributer_id": 15}, {"regular_order_id": 9, "distributer_id": 10}, {"regular_order_id": 10, "distributer_id": 7}, {"regular_order_id": 11, "distributer_id": 3}, {"regular_order_id": 12, "distributer_id": 1}, {"regular_order_id": 13, "distributer_id": 1}, {"regular_order_id": 14, "distributer_id": 15}, {"regular_order_id": 15, "distributer_id": 15}], "customers": [{"customer_id": 1, "payment_method": "Visa", "customer_name": "Ron Emard", "customer_phone": "1-382-503-5179x53639", "customer_email": "shaniya45@example.net", "date_became_customer": "2011-04-25 22:20:35"}, {"customer_id": 2, "payment_method": "MasterCard", "customer_name": "Gabe Schroeder", "customer_phone": "1-728-537-4293x0885", "customer_email": "alexandra91@example.net", "date_became_customer": "2011-10-17 16:08:25"}, {"customer_id": 3, "payment_method": "Discover", "customer_name": "Candace Schneider", "customer_phone": "940.575.3682x7959", "customer_email": "tkassulke@example.com", "date_became_customer": "2012-01-11 21:17:01"}, {"customer_id": 4, "payment_method": "Visa", "customer_name": "Jaden Lang", "customer_phone": "361.151.3489x7272", "customer_email": "dedric17@example.org", "date_became_customer": "2009-12-29 17:38:10"}, {"customer_id": 5, "payment_method": "Visa", "customer_name": "Geovanni Grady", "customer_phone": "1-005-644-2495", "customer_email": "elmira.langworth@example.org", "date_became_customer": "2017-05-21 07:09:55"}, {"customer_id": 6, "payment_method": "Visa", "customer_name": "Dr. Karine Farrell", "customer_phone": "+49(2)0677806107", "customer_email": "reichel.winnifred@example.org", "date_became_customer": "2010-11-06 08:42:56"}, {"customer_id": 7, "payment_method": "Discover", "customer_name": "Emmanuel Reilly", "customer_phone": "129.959.6420", "customer_email": "gleichner.ethelyn@example.net", "date_became_customer": "2013-11-29 06:15:22"}, {"customer_id": 8, "payment_method": "MasterCard", "customer_name": "Keenan Kuhic", "customer_phone": "686-517-9923x348", "customer_email": "dallin76@example.org", "date_became_customer": "2013-04-09 18:17:05"}, {"customer_id": 9, "payment_method": "American", "customer_name": "Rusty Morar", "customer_phone": "1-123-197-9677x7194", "customer_email": "njenkins@example.org", "date_became_customer": "2015-09-09 09:29:06"}, {"customer_id": 10, "payment_method": "Visa", "customer_name": "Lila Howe", "customer_phone": "1-492-284-1097", "customer_email": "leann.hamill@example.org", "date_became_customer": "2014-02-04 04:51:58"}, {"customer_id": 11, "payment_method": "Visa", "customer_name": "Amalia Hudson DDS", "customer_phone": "003-991-1506x483", "customer_email": "danika49@example.com", "date_became_customer": "2014-02-25 19:39:51"}, {"customer_id": 12, "payment_method": "Discover", "customer_name": "Verda Streich", "customer_phone": "06730471330", "customer_email": "xgraham@example.org", "date_became_customer": "2008-10-12 12:19:27"}, {"customer_id": 13, "payment_method": "Discover", "customer_name": "Patience Yundt", "customer_phone": "969-208-8932x715", "customer_email": "kira82@example.com", "date_became_customer": "2017-03-25 18:48:04"}, {"customer_id": 14, "payment_method": "Visa", "customer_name": "Annabell Walsh", "customer_phone": "(881)096-1281x6448", "customer_email": "adriana83@example.org", "date_became_customer": "2017-06-30 19:02:11"}, {"customer_id": 15, "payment_method": "Visa", "customer_name": "Aracely Borer V", "customer_phone": "531-617-3230", "customer_email": "rollin95@example.net", "date_became_customer": "2015-09-13 22:39:50"}]}, "correct_code": "-- Load customer_deliveries__regular_orders data\nregular_orders = load(\"regular_orders\")\n\nfiltered_regular_orders = regular_orders\n |> filter(regular_order_id >= 6)\n\n-- Load lookup data\ncustomers = load(\"customers\")\n |> select(customer_id, customer_email, customer_name)\n\nenriched = join(filtered_regular_orders, customers, on: distributer_id == customer_id)\n |> compute(computed_val: distributer_id - regular_order_id)\n\nresult = enriched\n |> sort_by(distributer_id, asc)\n |> take(10)\n\nemit result", "buggy_code": "-- Load customer_deliveries__regular_orders data\nregular_orders = load(\"regular_orders\")\n\nfiltered_regular_orders = regular_orders\n |> filter(regular_order_id >= 6)\n\n-- Load lookup data\ncustomers = load(\"customers\")\n |> select(customer_id, customer_email, customer_name)\n\nenriched = join(filtered_regular_orders, customers, on: distributer_id == customer_id)\n |> compute(computed_val: distributer_id - regular_order_id)\n\nresult = enriched\n |> sort_by(customer_name, asc)\n |> take(12)\n\nemit result", "expected_output": [{"regular_order_id": 12, "distributer_id": 1, "customer_id": 1, "customer_email": "shaniya45@example.net", "customer_name": "Ron Emard", "computed_val": -11}, {"regular_order_id": 13, "distributer_id": 1, "customer_id": 1, "customer_email": "shaniya45@example.net", "customer_name": "Ron Emard", "computed_val": -12}, {"regular_order_id": 7, "distributer_id": 2, "customer_id": 2, "customer_email": "alexandra91@example.net", "customer_name": "Gabe Schroeder", "computed_val": -5}, {"regular_order_id": 11, "distributer_id": 3, "customer_id": 3, "customer_email": "tkassulke@example.com", "customer_name": "Candace Schneider", "computed_val": -8}, {"regular_order_id": 10, "distributer_id": 7, "customer_id": 7, "customer_email": "gleichner.ethelyn@example.net", "customer_name": "Emmanuel Reilly", "computed_val": -3}, {"regular_order_id": 9, "distributer_id": 10, "customer_id": 10, "customer_email": "leann.hamill@example.org", "customer_name": "Lila Howe", "computed_val": 1}, {"regular_order_id": 6, "distributer_id": 14, "customer_id": 14, "customer_email": "adriana83@example.org", "customer_name": "Annabell Walsh", "computed_val": 8}, {"regular_order_id": 8, "distributer_id": 15, "customer_id": 15, "customer_email": "rollin95@example.net", "customer_name": "Aracely Borer V", "computed_val": 7}, {"regular_order_id": 14, "distributer_id": 15, "customer_id": 15, "customer_email": "rollin95@example.net", "customer_name": "Aracely Borer V", "computed_val": 1}, {"regular_order_id": 15, "distributer_id": 15, "customer_id": 15, "customer_email": "rollin95@example.net", "customer_name": "Aracely Borer V", "computed_val": 0}], "bug_info": [{"category": "logic_bug", "description": "Off-by-2 in take: 10 \u2192 12", "line_num": 16, "original": "|> take(10)", "mutated": "|> take(12)"}, {"category": "wrong_col", "description": "Wrong column reference: 'distributer_id' \u2192 'customer_name'", "line_num": 15, "original": "|> sort_by(distributer_id, asc)", "mutated": "|> sort_by(customer_name, asc)"}], "difficulty": "hard", "domain": "customer_deliveries__regular_orders", "num_nodes": 5, "has_join": true} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_hard | {"datasets": {"participants_in_events": [{"event_id": 3, "participant_id": 26}, {"event_id": 3, "participant_id": 66}, {"event_id": 8, "participant_id": 86}, {"event_id": 13, "participant_id": 64}, {"event_id": 13, "participant_id": 90}, {"event_id": 16, "participant_id": 60}, {"event_id": 17, "participant_id": 37}, {"event_id": 17, "participant_id": 66}, {"event_id": 38, "participant_id": 66}, {"event_id": 40, "participant_id": 37}, {"event_id": 40, "participant_id": 86}, {"event_id": 57, "participant_id": 90}, {"event_id": 60, "participant_id": 26}, {"event_id": 80, "participant_id": 36}, {"event_id": 80, "participant_id": 66}, {"event_id": 80, "participant_id": 96}, {"event_id": 95, "participant_id": 63}, {"event_id": 96, "participant_id": 90}], "participants": [{"participant_id": 9, "participant_type_code": "Organizer", "participant_details": "Karlee Batz"}, {"participant_id": 26, "participant_type_code": "Organizer", "participant_details": "Vilma Schinner"}, {"participant_id": 28, "participant_type_code": "Organizer", "participant_details": "Lupe Deckow"}, {"participant_id": 36, "participant_type_code": "Organizer", "participant_details": "Kenyatta Kuhn"}, {"participant_id": 37, "participant_type_code": "Participant", "participant_details": "Miss Kaci Lebsack"}, {"participant_id": 38, "participant_type_code": "Organizer", "participant_details": "Macy Mayer DDS"}, {"participant_id": 60, "participant_type_code": "Participant", "participant_details": "Dewitt Walter"}, {"participant_id": 63, "participant_type_code": "Participant", "participant_details": "Prof. Michelle Maggio Jr."}, {"participant_id": 64, "participant_type_code": "Participant", "participant_details": "Dr. Jaydon Renner"}, {"participant_id": 66, "participant_type_code": "Participant", "participant_details": "Justyn Lebsack"}, {"participant_id": 75, "participant_type_code": "Participant", "participant_details": "Berniece Weimann"}, {"participant_id": 86, "participant_type_code": "Organizer", "participant_details": "Neil Blick"}, {"participant_id": 90, "participant_type_code": "Participant", "participant_details": "Dedrick Ebert"}, {"participant_id": 96, "participant_type_code": "Organizer", "participant_details": "Miss Joyce Cremin"}, {"participant_id": 98, "participant_type_code": "Participant", "participant_details": "Dr. Kris Deckow"}]}, "correct_code": "-- Load local_govt_in_alabama__participants_in_events data\nparticipants_in_events = load(\"participants_in_events\")\n\nfiltered_participants_in_events = participants_in_events\n |> filter(event_id <= 48)\n\n-- Load lookup data\nparticipants = load(\"participants\")\n |> select(participant_details, participant_id, participant_type_code)\n\nenriched = join(filtered_participants_in_events, participants, on: participant_id == participant_id)\n |> compute(computed_val: participant_id / event_id)\n\nresult = enriched\n |> sort_by(participant_id, desc)\n |> take(5)\n\nemit result", "buggy_code": "-- Load local_govt_in_alabama__participants_in_events data\nparticipants_in_events = load(\"participants_in_events\")\n\nfiltered_participants_in_events = participants_in_events\n |> filter(event_id <= 48)\n\n-- Load lookup data\nparticipants = load(\"participants\")\n |> select(participant_details, participant_id, participant_type_code)\n\nenriched = join(filtered_participants_in_events, participants, on: participant_id == participant_id)\n |> compute(computed_val: participant_id / event_id)\n\nresult = enriched\n |> sort_by(participant_id, desc)\n |> take(4)\n\nemit result", "expected_output": [{"event_id": 13, "participant_id": 90, "participant_details": "Dedrick Ebert", "participant_type_code": "Participant", "computed_val": 6.923076923076923}, {"event_id": 8, "participant_id": 86, "participant_details": "Neil Blick", "participant_type_code": "Organizer", "computed_val": 10.75}, {"event_id": 40, "participant_id": 86, "participant_details": "Neil Blick", "participant_type_code": "Organizer", "computed_val": 2.15}, {"event_id": 3, "participant_id": 66, "participant_details": "Justyn Lebsack", "participant_type_code": "Participant", "computed_val": 22.0}, {"event_id": 17, "participant_id": 66, "participant_details": "Justyn Lebsack", "participant_type_code": "Participant", "computed_val": 3.8823529411764706}], "bug_info": [{"category": "logic_bug", "description": "Off-by-one in take: 5 \u2192 4", "line_num": 16, "original": "|> take(5)", "mutated": "|> take(4)"}], "difficulty": "hard", "domain": "local_govt_in_alabama__participants_in_events", "num_nodes": 5, "has_join": true} |
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German", "url": "http://en.wikipedia.org/wiki/Eisenacher_Motorenwerk"}, {"constructorid": 147, "constructorref": "afm", "name": "AFM", "nationality": "German", "url": "http://en.wikipedia.org/wiki/Alex_von_Falkenhausen_Motorenbau"}, {"constructorid": 148, "constructorref": "frazer_nash", "name": "Frazer Nash", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Frazer_Nash"}, {"constructorid": 149, "constructorref": "sherman", "name": "Sherman", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Sherman_(constructor)"}, {"constructorid": 150, "constructorref": "deidt", "name": "Deidt", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Deidt"}, {"constructorid": 151, "constructorref": "era", "name": "ERA", "nationality": "British", "url": "http://en.wikipedia.org/wiki/English_Racing_Automobiles"}, {"constructorid": 152, "constructorref": "butterworth", "name": "Aston Butterworth", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Aston_Butterworth"}, {"constructorid": 153, "constructorref": "cisitalia", "name": "Cisitalia", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/Cisitalia"}, {"constructorid": 154, "constructorref": "lago", "name": "Talbot-Lago", "nationality": "French", "url": "http://en.wikipedia.org/wiki/Talbot-Lago"}, {"constructorid": 155, "constructorref": "hall", "name": "Hall", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Hall_(constructor)"}, {"constructorid": 156, "constructorref": "marchese", "name": "Marchese", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Marchese_(constructor)"}, {"constructorid": 157, "constructorref": "langley", "name": "Langley", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Langley_(constructor)"}, {"constructorid": 158, "constructorref": "rae", "name": "Rae", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Rae_(motorsport)"}, {"constructorid": 159, "constructorref": "olson", "name": "Olson", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Olson_(constructor)"}, {"constructorid": 160, "constructorref": "wetteroth", "name": "Wetteroth", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Wetteroth"}, {"constructorid": 161, "constructorref": "adams", "name": "Adams", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Adams_(constructor)"}, {"constructorid": 162, "constructorref": "snowberger", "name": "Snowberger", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Snowberger"}, {"constructorid": 163, "constructorref": "milano", "name": "Milano", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/Scuderia_Milano"}, {"constructorid": 164, "constructorref": "hrt", "name": "HRT", "nationality": "Spanish", "url": "http://en.wikipedia.org/wiki/Hispania_Racing"}, {"constructorid": 166, "constructorref": "virgin", "name": "Virgin", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Virgin_Racing"}, {"constructorid": 167, "constructorref": "cooper-maserati", "name": "Cooper-Maserati", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 168, "constructorref": "cooper-osca", "name": "Cooper-OSCA", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 169, "constructorref": "cooper-borgward", "name": "Cooper-Borgward", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 170, "constructorref": "cooper-climax", "name": "Cooper-Climax", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 171, "constructorref": "cooper-castellotti", "name": "Cooper-Castellotti", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 172, "constructorref": "lotus-climax", "name": "Lotus-Climax", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_Lotus"}, {"constructorid": 173, "constructorref": "lotus-maserati", "name": "Lotus-Maserati", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_Lotus"}, {"constructorid": 174, "constructorref": "de_tomaso-osca", "name": "De Tomaso-Osca", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/De_Tomaso"}, {"constructorid": 175, "constructorref": "de_tomaso-alfa_romeo", "name": "De Tomaso-Alfa Romeo", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/De_Tomaso"}, {"constructorid": 176, "constructorref": "lotus-brm", "name": "Lotus-BRM", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_Lotus"}, {"constructorid": 177, "constructorref": "lotus-borgward", "name": "Lotus-Borgward", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_Lotus"}, {"constructorid": 178, "constructorref": "cooper-alfa_romeo", "name": "Cooper-Alfa Romeo", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 179, "constructorref": "de_tomaso-ferrari", "name": "De Tomaso-Ferrari", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/De_Tomaso"}, {"constructorid": 180, "constructorref": "lotus-ford", "name": "Lotus-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_Lotus"}, {"constructorid": 181, "constructorref": "brabham-brm", "name": "Brabham-BRM", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Brabham"}, {"constructorid": 182, "constructorref": "brabham-ford", "name": "Brabham-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Brabham"}, {"constructorid": 183, "constructorref": "brabham-climax", "name": "Brabham-Climax", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Brabham"}, {"constructorid": 184, "constructorref": "lds-climax", "name": "LDS-Climax", "nationality": "South African", "url": "http://en.wikipedia.org/wiki/LDS_(automobile)"}, {"constructorid": 185, "constructorref": "lds-alfa_romeo", "name": "LDS-Alfa Romeo", "nationality": "South African", "url": "http://en.wikipedia.org/wiki/LDS_(automobile)"}, {"constructorid": 186, "constructorref": "cooper-ford", "name": "Cooper-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 187, "constructorref": "mclaren-ford", "name": "McLaren-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_McLaren"}, {"constructorid": 188, "constructorref": "mclaren-seren", "name": "McLaren-Serenissima", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_McLaren"}, {"constructorid": 189, "constructorref": "eagle-climax", "name": "Eagle-Climax", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Anglo_American_Racers"}, {"constructorid": 190, "constructorref": "eagle-weslake", "name": "Eagle-Weslake", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Anglo_American_Racers"}, {"constructorid": 191, "constructorref": "brabham-repco", "name": "Brabham-Repco", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Brabham"}, {"constructorid": 192, "constructorref": "cooper-ferrari", "name": "Cooper-Ferrari", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 193, "constructorref": "cooper-ats", "name": "Cooper-ATS", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 194, "constructorref": "mclaren-brm", "name": "McLaren-BRM", "nationality": "British", "url": "http://en.wikipedia.org/wiki/McLaren_(racing)"}, {"constructorid": 195, "constructorref": "cooper-brm", "name": "Cooper-BRM", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 196, "constructorref": "matra-ford", "name": "Matra-Ford", "nationality": "French", "url": "http://en.wikipedia.org/wiki/Matra"}, {"constructorid": 197, "constructorref": "brm-ford", "name": "BRM-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/BRM"}, {"constructorid": 198, "constructorref": "mclaren-alfa_romeo", "name": "McLaren-Alfa Romeo", "nationality": "British", "url": "http://en.wikipedia.org/wiki/McLaren_(racing)"}, {"constructorid": 199, "constructorref": "march-alfa_romeo", "name": "March-Alfa Romeo", "nationality": "British", "url": "http://en.wikipedia.org/wiki/March_Engineering"}, {"constructorid": 200, "constructorref": "march-ford", "name": "March-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/March_Engineering"}, {"constructorid": 201, "constructorref": "lotus-pw", "name": "Lotus-Pratt & Whitney", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_Lotus"}, {"constructorid": 202, "constructorref": "shadow-ford", "name": "Shadow-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Shadow_Racing_Cars"}]}, "correct_code": "-- Load formula_1__constructorresults data\nconstructorresults = load(\"constructorresults\")\n\nfiltered_constructorresults = constructorresults\n |> filter(status == \"NULL\")\n |> filter(points >= 4)\n |> select(status, raceid, constructorresultsid, constructorid)\n\nsummary = filtered_constructorresults\n |> group_by(status)\n |> aggregate(total_constructorid: sum(constructorid), count: count())\n\nresult = summary\n |> sort_by(count, asc)\n |> take(5)\n\nemit result", "buggy_code": "-- Load formula_1__constructorresults data\nconstructorresults = load(\"constructorresults\")\n\nfiltered_constructorresults = constructorresults\n |> filter(status == \"null\")\n |> filter(points >= 4)\n |> select(status, raceid, constructorresultsid, constructorid)\n\nsummary = filtered_constructorresults\n |> group_by(status)\n |> aggregate(total_constructorid: sum(constructorid), count: count())\n\nresult = summary\n |> sort_by(count, asc)\n |> take(3)\n\nemit result", "expected_output": [{"status": "NULL", "total_constructorid": 321, "count": 80}], "bug_info": [{"category": "logic_bug", "description": "Off-by-2 in take: 5 \u2192 3", "line_num": 15, "original": "|> take(5)", "mutated": "|> take(3)"}, {"category": "logic_bug", "description": "Wrong filter value: 'NULL' \u2192 'null'", "line_num": 5, "original": "|> filter(status == \"NULL\")", "mutated": "|> filter(status == \"null\")"}], "difficulty": "hard", "domain": "formula_1__constructorresults", "num_nodes": 4, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_medium | {"datasets": {"friend": [{"student_id": 1510, "friend_id": 1381}, {"student_id": 1510, "friend_id": 1689}, {"student_id": 1689, "friend_id": 1709}, {"student_id": 1381, "friend_id": 1247}, {"student_id": 1709, "friend_id": 1247}, {"student_id": 1689, "friend_id": 1782}, {"student_id": 1782, "friend_id": 1468}, {"student_id": 1782, "friend_id": 1316}, {"student_id": 1782, "friend_id": 1304}, {"student_id": 1468, "friend_id": 1101}, {"student_id": 1468, "friend_id": 1641}, {"student_id": 1101, "friend_id": 1641}, {"student_id": 1247, "friend_id": 1911}, {"student_id": 1247, "friend_id": 1501}, {"student_id": 1911, "friend_id": 1501}, {"student_id": 1501, "friend_id": 1934}, {"student_id": 1316, "friend_id": 1934}, {"student_id": 1934, "friend_id": 1304}, {"student_id": 1304, "friend_id": 1661}, {"student_id": 1661, "friend_id": 1025}], "highschooler": [{"id": 1510, "name": "Jordan", "grade": 9}, {"id": 1689, "name": "Gabriel", "grade": 9}, {"id": 1381, "name": "Tiffany", "grade": 9}, {"id": 1709, "name": "Cassandra", "grade": 9}, {"id": 1101, "name": "Haley", "grade": 10}, {"id": 1782, "name": "Andrew", "grade": 10}, {"id": 1468, "name": "Kris", "grade": 10}, {"id": 1641, "name": "Brittany", "grade": 10}, {"id": 1247, "name": "Alexis", "grade": 11}, {"id": 1316, "name": "Austin", "grade": 11}, {"id": 1911, "name": "Gabriel", "grade": 11}, {"id": 1501, "name": "Jessica", "grade": 11}, {"id": 1304, "name": "Jordan", "grade": 12}, {"id": 1025, "name": "John", "grade": 12}, {"id": 1934, "name": "Kyle", "grade": 12}, {"id": 1661, "name": "Logan", "grade": 12}]}, "correct_code": "-- Load network_1__friend data\nfriend = load(\"friend\")\n\nresult = friend\n |> sort_by(student_id, desc)\n |> take(5)\n\nemit result", "buggy_code": "-- Load network_1__friend data\nfriend = load(\"friend\")\n\nresult = friend\n |> sort_by(student_id, asc)\n |> take(5)\n\nemit result", "expected_output": [{"student_id": 1934, "friend_id": 1304}, {"student_id": 1911, "friend_id": 1501}, {"student_id": 1782, "friend_id": 1468}, {"student_id": 1782, "friend_id": 1316}, {"student_id": 1782, "friend_id": 1304}], "bug_info": [{"category": "wrong_arg", "description": "Wrong sort order: 'desc' \u2192 'asc'", "line_num": 5, "original": "|> sort_by(student_id, desc)", "mutated": "|> sort_by(student_id, asc)"}], "difficulty": "medium", "domain": "network_1__friend", "num_nodes": 2, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_hard | {"datasets": {"qualifying": [{"qualifyid": 1, "raceid": 18, "driverid": 1, "constructorid": 1, "number": 22, "position": 1, "q1": "1:26.572", "q2": "1:25.187", "q3": "1:26.714"}, {"qualifyid": 2, "raceid": 18, "driverid": 9, "constructorid": 2, "number": 4, "position": 2, "q1": "1:26.103", "q2": "1:25.315", "q3": "1:26.869"}, {"qualifyid": 3, "raceid": 18, "driverid": 5, "constructorid": 1, "number": 23, "position": 3, "q1": "1:25.664", "q2": "1:25.452", "q3": "1:27.079"}, {"qualifyid": 4, "raceid": 18, "driverid": 13, "constructorid": 6, "number": 2, "position": 4, "q1": "1:25.994", "q2": "1:25.691", "q3": "1:27.178"}, {"qualifyid": 5, "raceid": 18, "driverid": 2, "constructorid": 2, "number": 3, "position": 5, "q1": "1:25.960", "q2": "1:25.518", "q3": "1:27.236"}, {"qualifyid": 6, "raceid": 18, "driverid": 15, "constructorid": 7, "number": 11, "position": 6, "q1": "1:26.427", "q2": "1:26.101", "q3": "1:28.527"}, {"qualifyid": 7, "raceid": 18, "driverid": 3, "constructorid": 3, "number": 7, "position": 7, "q1": "1:26.295", "q2": "1:26.059", "q3": "1:28.687"}, {"qualifyid": 8, "raceid": 18, "driverid": 14, "constructorid": 9, "number": 9, "position": 8, "q1": "1:26.381", "q2": "1:26.063", "q3": "1:29.041"}, {"qualifyid": 9, "raceid": 18, "driverid": 10, "constructorid": 7, "number": 12, "position": 9, "q1": "1:26.919", "q2": "1:26.164", "q3": "1:29.593"}, {"qualifyid": 10, "raceid": 18, "driverid": 20, "constructorid": 5, "number": 15, "position": 10, "q1": "1:26.702", "q2": "1:25.842", "q3": "NULL"}, {"qualifyid": 11, "raceid": 18, "driverid": 22, "constructorid": 11, "number": 17, "position": 11, "q1": "1:26.369", "q2": "1:26.173", "q3": "NULL"}, {"qualifyid": 12, "raceid": 18, "driverid": 4, "constructorid": 4, "number": 5, "position": 12, "q1": "1:26.907", "q2": "1:26.188", "q3": "NULL"}, {"qualifyid": 13, "raceid": 18, "driverid": 18, "constructorid": 11, "number": 16, "position": 13, "q1": "1:26.712", "q2": "1:26.259", "q3": "NULL"}, {"qualifyid": 14, "raceid": 18, "driverid": 6, "constructorid": 3, "number": 8, "position": 14, "q1": "1:26.891", "q2": "1:26.413", "q3": "NULL"}, {"qualifyid": 15, "raceid": 18, "driverid": 17, "constructorid": 9, "number": 10, "position": 15, "q1": "1:26.914", "q2": "", "q3": "NULL"}, {"qualifyid": 16, "raceid": 18, "driverid": 8, "constructorid": 6, "number": 1, "position": 16, "q1": "1:26.140", "q2": "", "q3": "NULL"}, {"qualifyid": 17, "raceid": 18, "driverid": 21, "constructorid": 10, "number": 21, "position": 17, "q1": "1:27.207", "q2": "", "q3": "NULL"}, {"qualifyid": 18, "raceid": 18, "driverid": 7, "constructorid": 5, "number": 14, "position": 18, "q1": "1:27.446", "q2": "", "q3": "NULL"}, {"qualifyid": 19, "raceid": 18, "driverid": 16, "constructorid": 10, "number": 20, "position": 19, "q1": "1:27.859", "q2": "", "q3": "NULL"}, {"qualifyid": 20, "raceid": 18, "driverid": 11, "constructorid": 8, "number": 18, "position": 20, "q1": "1:28.208", "q2": "", "q3": "NULL"}, {"qualifyid": 21, "raceid": 18, "driverid": 12, "constructorid": 4, "number": 6, "position": 21, "q1": "1:28.330", "q2": "", "q3": "NULL"}, {"qualifyid": 22, "raceid": 18, "driverid": 19, "constructorid": 8, "number": 19, "position": 22, "q1": "1:29.059", "q2": "", "q3": "NULL"}, {"qualifyid": 23, "raceid": 19, "driverid": 13, "constructorid": 6, "number": 2, "position": 1, "q1": "1:35.347", "q2": "1:34.412", "q3": "1:35.748"}, {"qualifyid": 24, "raceid": 19, "driverid": 8, "constructorid": 6, "number": 1, "position": 2, "q1": "1:35.645", "q2": "1:34.188", "q3": "1:36.230"}, {"qualifyid": 25, "raceid": 19, "driverid": 5, "constructorid": 1, "number": 23, "position": 3, "q1": "1:35.227", "q2": "1:34.759", "q3": "1:36.613"}, {"qualifyid": 26, "raceid": 19, "driverid": 1, "constructorid": 1, "number": 22, "position": 4, "q1": "1:35.392", "q2": "1:34.627", "q3": "1:36.709"}, {"qualifyid": 27, 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"url": "http://en.wikipedia.org/wiki/Anglo_American_Racers"}, {"constructorid": 191, "constructorref": "brabham-repco", "name": "Brabham-Repco", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Brabham"}, {"constructorid": 192, "constructorref": "cooper-ferrari", "name": "Cooper-Ferrari", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 193, "constructorref": "cooper-ats", "name": "Cooper-ATS", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 194, "constructorref": "mclaren-brm", "name": "McLaren-BRM", "nationality": "British", "url": "http://en.wikipedia.org/wiki/McLaren_(racing)"}, {"constructorid": 195, "constructorref": "cooper-brm", "name": "Cooper-BRM", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 196, "constructorref": "matra-ford", "name": "Matra-Ford", "nationality": "French", "url": "http://en.wikipedia.org/wiki/Matra"}, {"constructorid": 197, "constructorref": "brm-ford", "name": "BRM-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/BRM"}, {"constructorid": 198, "constructorref": "mclaren-alfa_romeo", "name": "McLaren-Alfa Romeo", "nationality": "British", "url": "http://en.wikipedia.org/wiki/McLaren_(racing)"}, {"constructorid": 199, "constructorref": "march-alfa_romeo", "name": "March-Alfa Romeo", "nationality": "British", "url": "http://en.wikipedia.org/wiki/March_Engineering"}, {"constructorid": 200, "constructorref": "march-ford", "name": "March-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/March_Engineering"}, {"constructorid": 201, "constructorref": "lotus-pw", "name": "Lotus-Pratt & Whitney", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_Lotus"}, {"constructorid": 202, "constructorref": "shadow-ford", "name": "Shadow-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Shadow_Racing_Cars"}]}, "correct_code": "-- Load formula_1__qualifying data\nqualifying = load(\"qualifying\")\n\nfiltered_qualifying = qualifying\n |> filter(q3 == \"1:15.839\")\n |> filter(constructorid <= 6)\n\nsummary = filtered_qualifying\n |> group_by(q3)\n |> aggregate(max_driverid: max(driverid), count: count())\n\nresult = summary\n |> sort_by(max_driverid, desc)\n |> take(5)\n\nemit result", "buggy_code": "-- Load formula_1__qualifying data\nqualifying = load(\"qualifying\")\n\nfiltered_qualifying = qualifying\n |> filter(driverid == \"1:15.839\")\n |> filter(constructorid <= 6)\n\nsummary = filtered_qualifying\n |> group_by(q3)\n |> aggregate(max_driverid: max(driverid), count: count())\n\nresult = summary\n |> sort_by(max_driverid, desc)\n |> take(5)\n\nemit result", "expected_output": [{"q3": "1:15.839", "max_driverid": 1, "count": 1}], "bug_info": [{"category": "wrong_col", "description": "Wrong column reference: 'q3' \u2192 'driverid'", "line_num": 5, "original": "|> filter(q3 == \"1:15.839\")", "mutated": "|> filter(driverid == \"1:15.839\")"}], "difficulty": "hard", "domain": "formula_1__qualifying", "num_nodes": 4, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_hard | {"datasets": {"project_outcomes": [{"project_id": 4, "outcome_code": "Paper", "outcome_details": 0}, {"project_id": 3, "outcome_code": "Patent", "outcome_details": 0}, {"project_id": 9, "outcome_code": "Paper", "outcome_details": 0}, {"project_id": 6, "outcome_code": "Paper", "outcome_details": 0}, {"project_id": 9, "outcome_code": "Patent", "outcome_details": 0}, {"project_id": 11, "outcome_code": "Paper", "outcome_details": 0}, {"project_id": 14, "outcome_code": "Patent", "outcome_details": 0}, {"project_id": 14, "outcome_code": "Paper", "outcome_details": 0}, {"project_id": 13, "outcome_code": "Paper", "outcome_details": 0}, {"project_id": 12, "outcome_code": "Patent", "outcome_details": 0}, {"project_id": 7, "outcome_code": "Paper", "outcome_details": 0}, {"project_id": 5, "outcome_code": "Patent", "outcome_details": 0}, {"project_id": 7, "outcome_code": "Paper", "outcome_details": 0}, {"project_id": 13, "outcome_code": "Paper", "outcome_details": 0}, {"project_id": 7, "outcome_code": "Paper", "outcome_details": 0}], "projects": [{"project_id": 1, "organisation_id": 15, "project_details": "porro"}, {"project_id": 2, "organisation_id": 11, "project_details": "et"}, {"project_id": 3, "organisation_id": 7, "project_details": "sint"}, {"project_id": 4, "organisation_id": 4, "project_details": "doloremque"}, {"project_id": 5, "organisation_id": 11, "project_details": "vel"}, {"project_id": 6, "organisation_id": 10, "project_details": "deserunt"}, {"project_id": 7, "organisation_id": 3, "project_details": "deleniti"}, {"project_id": 8, "organisation_id": 1, "project_details": "ad"}, {"project_id": 9, "organisation_id": 4, "project_details": "sed"}, {"project_id": 10, "organisation_id": 4, "project_details": "consectetur"}, {"project_id": 11, "organisation_id": 13, "project_details": "impedit"}, {"project_id": 12, "organisation_id": 12, "project_details": "omnis"}, {"project_id": 13, "organisation_id": 3, "project_details": "non"}, {"project_id": 14, "organisation_id": 1, "project_details": "beatae"}, {"project_id": 15, "organisation_id": 5, "project_details": "dolorem"}]}, "correct_code": "-- Load tracking_grants_for_research__project_outcomes data\nproject_outcomes = load(\"project_outcomes\")\n\nfiltered_project_outcomes = project_outcomes\n |> filter(outcome_code == \"Patent\")\n\nsummary = filtered_project_outcomes\n |> group_by(outcome_code)\n |> aggregate(avg_outcome_details: avg(outcome_details), count: count())\n |> compute(computed_val: avg_outcome_details - count)\n\nresult = summary\n |> sort_by(avg_outcome_details, desc)\n |> take(10)\n\nemit result", "buggy_code": "-- Load tracking_grants_for_research__project_outcomes data\nproject_outcomes = load(\"project_outcomes\")\n\nfiltered_project_outcomes = project_outcomes\n |> filter(outcome_details == \"Patent\")\n\nsummary = filtered_project_outcomes\n |> group_by(outcome_code)\n |> aggregate(avg_outcome_details: avg(outcome_details), count: count())\n |> compute(computed_val: avg_outcome_details - count)\n\nresult = summary\n |> sort_by(avg_outcome_details, desc)\n |> take(10)\n\nemit result", "expected_output": [{"outcome_code": "Patent", "avg_outcome_details": 0.0, "count": 5, "computed_val": -5.0}], "bug_info": [{"category": "wrong_col", "description": "Wrong column reference: 'outcome_code' \u2192 'outcome_details'", "line_num": 5, "original": "|> filter(outcome_code == \"Patent\")", "mutated": "|> filter(outcome_details == \"Patent\")"}], "difficulty": "hard", "domain": "tracking_grants_for_research__project_outcomes", "num_nodes": 4, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_medium | {"datasets": {"student": [{"id": "24746", "name": "Schrefl", "dept_name": "History", "tot_cred": 4}, {"id": "79352", "name": "Rumat", "dept_name": "Finance", "tot_cred": 100}, {"id": "76672", "name": "Miliko", "dept_name": "Statistics", "tot_cred": 116}, {"id": "14182", "name": "Moszkowski", "dept_name": "Civil Eng.", "tot_cred": 73}, {"id": "44985", "name": "Prieto", "dept_name": "Biology", "tot_cred": 91}, {"id": "96052", "name": "Marcol", "dept_name": "Cybernetics", "tot_cred": 15}, {"id": "35175", "name": "Quimby", "dept_name": "History", "tot_cred": 4}, {"id": "44271", "name": "Sowerby", "dept_name": "English", "tot_cred": 108}, {"id": "40897", "name": "Coppens", "dept_name": "Math", "tot_cred": 58}, {"id": "92839", "name": "Cirsto", "dept_name": "Math", "tot_cred": 115}, {"id": "79329", "name": "Velikovs", "dept_name": "Marketing", "tot_cred": 110}, {"id": "97101", "name": "Marek", "dept_name": "Psychology", "tot_cred": 53}, {"id": "24865", "name": "Tran-", "dept_name": "Marketing", "tot_cred": 116}, {"id": "36052", "name": "Guerra", "dept_name": "Elec. 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Eng.", "tot_cred": 76}, {"id": "64140", "name": "Tiroz", "dept_name": "Athletics", "tot_cred": 118}, {"id": "6523", "name": "Karlsson", "dept_name": "Civil Eng.", "tot_cred": 1}, {"id": "64067", "name": "Mennif", "dept_name": "Languages", "tot_cred": 8}, {"id": "99399", "name": "Duan", "dept_name": "Astronomy", "tot_cred": 96}, {"id": "21337", "name": "Goualh", "dept_name": "Marketing", "tot_cred": 46}, {"id": "15457", "name": "Arinb", "dept_name": "Physics", "tot_cred": 123}, {"id": "26102", "name": "Tanaka", "dept_name": "Statistics", "tot_cred": 118}, {"id": "31337", "name": "Graziano", "dept_name": "Elec. Eng.", "tot_cred": 29}, {"id": "67425", "name": "Cooper", "dept_name": "Athletics", "tot_cred": 51}, {"id": "48640", "name": "Brown", "dept_name": "History", "tot_cred": 33}, {"id": "72741", "name": "Weiss", "dept_name": "Astronomy", "tot_cred": 22}, {"id": "29803", "name": "Beavis", "dept_name": "Accounting", "tot_cred": 76}, {"id": "38895", "name": "Beuthel", "dept_name": "Biology", "tot_cred": 70}, {"id": "49391", "name": "Rammer", "dept_name": "Marketing", "tot_cred": 15}, {"id": "13741", "name": "Grieng", "dept_name": "Psychology", "tot_cred": 122}, {"id": "59538", "name": "Kothari", "dept_name": "Accounting", "tot_cred": 125}, {"id": "9360", "name": "Mukai", "dept_name": "Marketing", "tot_cred": 36}, {"id": "53728", "name": "Eck", "dept_name": "Statistics", "tot_cred": 61}, {"id": "77898", "name": "Yap", "dept_name": "Marketing", "tot_cred": 10}, {"id": "32419", "name": "Sahani", "dept_name": "Civil Eng.", "tot_cred": 48}, {"id": "37521", "name": "Mes", "dept_name": "Biology", "tot_cred": 9}, {"id": "97065", "name": "Gandhi", "dept_name": "Languages", "tot_cred": 22}], "department": [{"dept_name": "Civil Eng.", "building": "Chandler", "budget": 255041.46}, {"dept_name": "Biology", "building": "Candlestick", "budget": 647610.55}, {"dept_name": "History", "building": "Taylor", "budget": 699140.86}, {"dept_name": "Physics", "building": "Wrigley", "budget": 942162.76}, {"dept_name": "Marketing", "building": "Lambeau", "budget": 210627.58}, {"dept_name": "Pol. Sci.", "building": "Whitman", "budget": 573745.09}, {"dept_name": "English", "building": "Palmer", "budget": 611042.66}, {"dept_name": "Accounting", "building": "Saucon", "budget": 441840.92}, {"dept_name": "Comp. Sci.", "building": "Lamberton", "budget": 106378.69}, {"dept_name": "Languages", "building": "Linderman", "budget": 601283.6}, {"dept_name": "Finance", "building": "Candlestick", "budget": 866831.75}, {"dept_name": "Geology", "building": "Palmer", "budget": 406557.93}, {"dept_name": "Cybernetics", "building": "Mercer", "budget": 794541.46}, {"dept_name": "Astronomy", "building": "Taylor", "budget": 617253.94}, {"dept_name": "Athletics", "building": "Bronfman", "budget": 734550.7}, {"dept_name": "Statistics", "building": "Taylor", "budget": 395051.74}, {"dept_name": "Psychology", "building": "Thompson", "budget": 848175.04}, {"dept_name": "Math", "building": "Brodhead", "budget": 777605.11}, {"dept_name": "Elec. Eng.", "building": "Main", "budget": 276527.61}, {"dept_name": "Mech. Eng.", "building": "Rauch", "budget": 520350.65}]}, "correct_code": "-- Load college_2__student data\nstudent = load(\"student\")\n\nfiltered_student = student\n |> filter(id == \"83022\")\n\nsummary = filtered_student\n |> group_by(dept_name)\n |> aggregate(avg_tot_cred: avg(tot_cred), count: count())\n\nresult = summary\n |> sort_by(avg_tot_cred, desc)\n |> take(3)\n\nemit result", "buggy_code": "-- Load college_2__student data\nstudent = load(\"student\")\n\nfiltered_student = student\n |> filter(id > \"83022\")\n\nsummary = filtered_student\n |> group_by(dept_name)\n |> aggregate(avg_tot_cred: avg(tot_cred), count: count())\n\nresult = summary\n |> sort_by(avg_tot_cred, asc)\n |> take(3)\n\nemit result", "expected_output": [{"dept_name": "Math", "avg_tot_cred": 10.0, "count": 1}], "bug_info": [{"category": "wrong_arg", "description": "Wrong comparison operator: '==' \u2192 '>'", "line_num": 5, "original": "|> filter(id == \"83022\")", "mutated": "|> filter(id > \"83022\")"}, {"category": "wrong_arg", "description": "Wrong sort order: 'desc' \u2192 'asc'", "line_num": 12, "original": "|> sort_by(avg_tot_cred, desc)", "mutated": "|> sort_by(avg_tot_cred, asc)"}], "difficulty": "medium", "domain": "college_2__student", "num_nodes": 4, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_medium | {"datasets": {"employees": [{"employee_id": 1, "employee_address_id": 4, "employee_name": "Kacie", "employee_phone": "716-650-2081"}, {"employee_id": 2, "employee_address_id": 12, "employee_name": "Dejuan", "employee_phone": "211.289.9042"}, {"employee_id": 3, "employee_address_id": 1, "employee_name": "Leonie", "employee_phone": "816-890-2580"}, {"employee_id": 4, "employee_address_id": 11, "employee_name": "Rogelio", "employee_phone": "(539)655-7194x3276"}, {"employee_id": 5, "employee_address_id": 12, "employee_name": "Eriberto", "employee_phone": "675.047.7555x13273"}, {"employee_id": 6, "employee_address_id": 9, "employee_name": "Matteo", "employee_phone": "620.905.4152x7146"}, {"employee_id": 7, "employee_address_id": 4, "employee_name": "Sasha", "employee_phone": "1-547-775-6049"}, {"employee_id": 8, "employee_address_id": 11, "employee_name": "Eino", "employee_phone": "033.973.3729x07313"}, {"employee_id": 9, "employee_address_id": 8, "employee_name": "Cydney", "employee_phone": "191.702.4400x1018"}, {"employee_id": 10, "employee_address_id": 6, "employee_name": "Cristian", "employee_phone": "1-833-492-9430"}, {"employee_id": 11, "employee_address_id": 5, "employee_name": "Lew", "employee_phone": "776.002.6775"}, {"employee_id": 12, "employee_address_id": 15, "employee_name": "Anthony", "employee_phone": "+69(6)9999892744"}, {"employee_id": 13, "employee_address_id": 14, "employee_name": "Jovani", "employee_phone": "+28(9)6180779782"}, {"employee_id": 14, "employee_address_id": 10, "employee_name": "Dovie", "employee_phone": "944-507-0999"}, {"employee_id": 15, "employee_address_id": 12, "employee_name": "Allison", "employee_phone": "+48(5)2807285053"}], "addresses": [{"address_id": 1, "address_details": "92283 Lora Forges Suite 322", "city": "Mohrville", "zip_postcode": "271", "state_province_county": "Nebraska", "country": "USA"}, {"address_id": 2, "address_details": "17135 Jaida Fork Suite 798", "city": "East Brody", "zip_postcode": "940", "state_province_county": "Colorado", "country": "USA"}, {"address_id": 3, "address_details": "41099 Crist Prairie Suite 507", "city": "Evelinebury", "zip_postcode": "003", "state_province_county": "Idaho", "country": "USA"}, {"address_id": 4, "address_details": "615 Adams Rue Apt. 095", "city": "Sawaynville", "zip_postcode": "575", "state_province_county": "Kentucky", "country": "USA"}, {"address_id": 5, "address_details": "045 Marquardt Village Suite 484", "city": "Carterside", "zip_postcode": "827", "state_province_county": "California", "country": "USA"}, {"address_id": 6, "address_details": "203 Joseph Hills", "city": "Giovannaton", "zip_postcode": "960", "state_province_county": "Tennessee", "country": "USA"}, {"address_id": 7, "address_details": "6187 Feil Extension Apt. 749", "city": "East Frederic", "zip_postcode": "674", "state_province_county": "Maine", "country": "USA"}, {"address_id": 8, "address_details": "185 Farrell Brooks Apt. 106", "city": "Mosciskimouth", "zip_postcode": "076", "state_province_county": "Illinois", "country": "USA"}, {"address_id": 9, "address_details": "3720 Pagac Hollow Apt. 131", "city": "Alvertatown", "zip_postcode": "234", "state_province_county": "Wyoming", "country": "USA"}, {"address_id": 10, "address_details": "57136 Eichmann Ranch Suite 091", "city": "Gerholdtown", "zip_postcode": "297", "state_province_county": "Illinois", "country": "USA"}, {"address_id": 11, "address_details": "3020 Steuber Gardens Apt. 620", "city": "Flossiefurt", "zip_postcode": "460", "state_province_county": "Michigan", "country": "USA"}, {"address_id": 12, "address_details": "2060 Hilpert Forge Apt. 379", "city": "Annietown", "zip_postcode": "491", "state_province_county": "Michigan", "country": "USA"}, {"address_id": 13, "address_details": "469 Roberts Mews", "city": "Lake Abbey", "zip_postcode": "838", "state_province_county": "Washington", "country": "USA"}, {"address_id": 14, "address_details": "8701 Myrtis Ranch", "city": "North Marquesfort", "zip_postcode": "940", "state_province_county": "Ohio", "country": "USA"}, {"address_id": 15, "address_details": "06959 Garett Meadows Apt. 259", "city": "New Lizziechester", "zip_postcode": "934", "state_province_county": "Massachusetts", "country": "USA"}]}, "correct_code": "-- Load customer_deliveries__employees data\nemployees = load(\"employees\")\n\nfiltered_employees = employees\n |> filter(employee_name == \"Matteo\")\n |> filter(employee_address_id > 5)\n\nsummary = filtered_employees\n |> group_by(employee_phone)\n |> aggregate(min_employee_address_id: min(employee_address_id), count: count())\n\nresult = summary\n |> sort_by(min_employee_address_id, desc)\n |> take(10)\n\nemit result", "buggy_code": "-- Load customer_deliveries__employees data\nemployees = load(\"employees\")\n\nfiltered_employees = employees\n |> filter(employee_name < \"Matteo\")\n |> filter(employee_address_id > 5)\n\nsummary = filtered_employees\n |> group_by(employee_phone)\n |> aggregate(min_employee_address_id: min(employee_address_id), count: count())\n\nresult = summary\n |> sort_by(min_employee_address_id, asc)\n |> take(10)\n\nemit result", "expected_output": [{"employee_phone": "620.905.4152x7146", "min_employee_address_id": 9, "count": 1}], "bug_info": [{"category": "wrong_arg", "description": "Wrong comparison operator: '==' \u2192 '<'", "line_num": 5, "original": "|> filter(employee_name == \"Matteo\")", "mutated": "|> filter(employee_name < \"Matteo\")"}, {"category": "wrong_arg", "description": "Wrong sort order: 'desc' \u2192 'asc'", "line_num": 13, "original": "|> sort_by(min_employee_address_id, desc)", "mutated": "|> sort_by(min_employee_address_id, asc)"}], "difficulty": "medium", "domain": "customer_deliveries__employees", "num_nodes": 4, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_hard | {"datasets": {"route": [{"train_id": 1, "station_id": 1}, {"train_id": 1, "station_id": 2}, {"train_id": 1, "station_id": 3}, {"train_id": 2, "station_id": 1}, {"train_id": 2, "station_id": 3}, {"train_id": 2, "station_id": 7}, {"train_id": 3, "station_id": 4}, {"train_id": 4, "station_id": 6}, {"train_id": 4, "station_id": 2}, {"train_id": 5, "station_id": 1}, {"train_id": 6, "station_id": 5}, {"train_id": 7, "station_id": 4}, {"train_id": 7, "station_id": 5}, {"train_id": 7, "station_id": 8}, {"train_id": 8, "station_id": 8}, {"train_id": 9, "station_id": 7}, {"train_id": 9, "station_id": 8}, {"train_id": 10, "station_id": 9}], "train": [{"id": 1, "train_number": 16724, "name": "Ananthapuri Express", "origin": "Trivandrum", "destination": "Chennai", "time": "17:15", "interval": "Daily"}, {"id": 2, "train_number": 16127, "name": "Guruvayur Express", "origin": "Chennai", "destination": "Guruvayur", "time": "22:10", "interval": "Daily"}, {"id": 3, "train_number": 16128, "name": "Guruvayur Express", "origin": "Guruvayur", "destination": "Chennai", "time": "4:49", "interval": "Daily"}, {"id": 4, "train_number": 16723, "name": "Ananthapuri Express", "origin": "Chennai", "destination": "Trivandrum", "time": "11:35", "interval": "Daily"}, {"id": 5, "train_number": 16382, "name": "Jayanthi Janatha Express", "origin": "Kanniyakumari", "destination": "Mumbai", "time": "06:30", "interval": "Daily"}, {"id": 6, "train_number": 16525, "name": "Island Express", "origin": "Kanniyakumari", "destination": "Bangalore", "time": "11:15", "interval": "Daily"}, {"id": 7, "train_number": 56701, "name": "Madurai Fast Passenger", "origin": "Quilon", "destination": "Madurai", "time": "21:49", "interval": "Daily"}, {"id": 8, "train_number": 56700, "name": "Quilon Fast Passenger", "origin": "Madurai", "destination": "Quilon Junction", "time": "04:55", "interval": "Daily"}, {"id": 9, "train_number": 16526, "name": "Island Express", "origin": "Bangalore", "destination": "Kanniyakumari", "time": "16:59", "interval": "Daily"}, {"id": 10, "train_number": 16381, "name": "Jayanthi Janatha Express", "origin": "Mumbai", "destination": "Kanniyakumari", "time": "10:38", "interval": "Daily"}, {"id": 11, "train_number": 16650, "name": "Parasuram Express", "origin": "Nagercoil", "destination": "Mangalore", "time": "04:20", "interval": "Daily"}]}, "correct_code": "-- Load station_weather__route data\nroute = load(\"route\")\n\nfiltered_route = route\n |> filter(train_id <= 3)\n\n-- Load lookup data\ntrain = load(\"train\")\n\nenriched = join(filtered_route, train, on: train_id == id)\n |> compute(computed_val: station_id * train_id)\n\nresult = enriched\n |> sort_by(station_id, asc)\n |> take(10)\n\nemit result", "buggy_code": "-- Load station_weather__route data\nroute = load(\"route\")\n\nfiltered_route = route\n |> filter(train_id <= 3)\n\n-- Load lookup data\ntrain = load(\"train\")\n\nenriched = join(filtered_route, train, on: train_train == id)\n |> compute(computed_val: station_id * train_id)\n\nresult = enriched\n |> sort_by(station_id, asc)\n |> take(10)\n\nemit result", "expected_output": [{"train_id": 1, "station_id": 1, "id": 1, "train_number": 16724, "name": "Ananthapuri Express", "origin": "Trivandrum", "destination": "Chennai", "time": "17:15", "interval": "Daily", "computed_val": 1}, {"train_id": 2, "station_id": 1, "id": 2, "train_number": 16127, "name": "Guruvayur Express", "origin": "Chennai", "destination": "Guruvayur", "time": "22:10", "interval": "Daily", "computed_val": 2}, {"train_id": 1, "station_id": 2, "id": 1, "train_number": 16724, "name": "Ananthapuri Express", "origin": "Trivandrum", "destination": "Chennai", "time": "17:15", "interval": "Daily", "computed_val": 2}, {"train_id": 1, "station_id": 3, "id": 1, "train_number": 16724, "name": "Ananthapuri Express", "origin": "Trivandrum", "destination": "Chennai", "time": "17:15", "interval": "Daily", "computed_val": 3}, {"train_id": 2, "station_id": 3, "id": 2, "train_number": 16127, "name": "Guruvayur Express", "origin": "Chennai", "destination": "Guruvayur", "time": "22:10", "interval": "Daily", "computed_val": 6}, {"train_id": 3, "station_id": 4, "id": 3, "train_number": 16128, "name": "Guruvayur Express", "origin": "Guruvayur", "destination": "Chennai", "time": "4:49", "interval": "Daily", "computed_val": 12}, {"train_id": 2, "station_id": 7, "id": 2, "train_number": 16127, "name": "Guruvayur Express", "origin": "Chennai", "destination": "Guruvayur", "time": "22:10", "interval": "Daily", "computed_val": 14}], "bug_info": [{"category": "join_bug", "description": "Wrong join key: 'id' \u2192 'train'", "line_num": 10, "original": "enriched = join(filtered_route, train, on: train_id == id)", "mutated": "enriched = join(filtered_route, train, on: train_train == id)"}], "difficulty": "hard", "domain": "station_weather__route", "num_nodes": 5, "has_join": true} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_medium | {"datasets": {"student": [{"stuid": 1001, "lname": "Smith", "fname": "Linda", "age": 18, "sex": "F", "major": 600, "advisor": 1121, "city_code": "BAL"}, {"stuid": 1002, "lname": "Kim", "fname": "Tracy", "age": 19, "sex": "F", "major": 600, "advisor": 7712, "city_code": "HKG"}, {"stuid": 1003, "lname": "Jones", "fname": "Shiela", "age": 21, "sex": "F", "major": 600, "advisor": 7792, "city_code": "WAS"}, {"stuid": 1004, "lname": "Kumar", "fname": "Dinesh", "age": 20, "sex": "M", "major": 600, "advisor": 8423, "city_code": "CHI"}, {"stuid": 1005, "lname": "Gompers", "fname": "Paul", "age": 26, "sex": "M", "major": 600, "advisor": 1121, "city_code": "YYZ"}, {"stuid": 1006, "lname": "Schultz", "fname": "Andy", "age": 18, "sex": "M", "major": 600, "advisor": 1148, "city_code": "BAL"}, {"stuid": 1007, "lname": "Apap", "fname": "Lisa", "age": 18, "sex": "F", "major": 600, "advisor": 8918, "city_code": "PIT"}, {"stuid": 1008, "lname": "Nelson", "fname": "Jandy", "age": 20, "sex": "F", "major": 600, "advisor": 9172, "city_code": "BAL"}, {"stuid": 1009, "lname": "Tai", "fname": "Eric", "age": 19, "sex": "M", "major": 600, "advisor": 2192, "city_code": "YYZ"}, {"stuid": 1010, "lname": "Lee", "fname": "Derek", "age": 17, "sex": "M", "major": 600, "advisor": 2192, "city_code": "HOU"}, {"stuid": 1011, "lname": "Adams", "fname": "David", "age": 22, "sex": "M", "major": 600, "advisor": 1148, "city_code": "PHL"}, {"stuid": 1012, "lname": "Davis", "fname": "Steven", "age": 20, "sex": "M", "major": 600, "advisor": 7723, "city_code": "PIT"}, {"stuid": 1014, "lname": "Norris", "fname": "Charles", "age": 18, "sex": "M", "major": 600, "advisor": 8741, "city_code": "DAL"}, {"stuid": 1015, "lname": "Lee", "fname": "Susan", "age": 16, "sex": "F", "major": 600, "advisor": 8721, "city_code": "HKG"}, {"stuid": 1016, "lname": "Schwartz", "fname": "Mark", "age": 17, "sex": "M", "major": 600, "advisor": 2192, "city_code": "DET"}, {"stuid": 1017, "lname": "Wilson", "fname": "Bruce", "age": 27, "sex": "M", "major": 600, "advisor": 1148, "city_code": "LON"}, {"stuid": 1018, "lname": "Leighton", "fname": "Michael", "age": 20, "sex": "M", "major": 600, "advisor": 1121, "city_code": "PIT"}, {"stuid": 1019, "lname": "Pang", "fname": "Arthur", "age": 18, "sex": "M", "major": 600, "advisor": 2192, "city_code": "WAS"}, {"stuid": 1020, "lname": "Thornton", "fname": "Ian", "age": 22, "sex": "M", "major": 520, "advisor": 7271, "city_code": "NYC"}, {"stuid": 1021, "lname": "Andreou", "fname": "George", "age": 19, "sex": "M", "major": 520, "advisor": 8722, "city_code": "NYC"}, {"stuid": 1022, "lname": "Woods", "fname": "Michael", "age": 17, "sex": "M", "major": 540, "advisor": 8722, "city_code": "PHL"}, {"stuid": 1023, "lname": "Shieber", "fname": "David", "age": 20, "sex": "M", "major": 520, "advisor": 8722, "city_code": "NYC"}, {"stuid": 1024, "lname": "Prater", "fname": "Stacy", "age": 18, "sex": "F", "major": 540, "advisor": 7271, "city_code": "BAL"}, {"stuid": 1025, "lname": "Goldman", "fname": "Mark", "age": 18, "sex": "M", "major": 520, "advisor": 7134, "city_code": "PIT"}, {"stuid": 1026, "lname": "Pang", "fname": "Eric", "age": 19, "sex": "M", "major": 520, "advisor": 7134, "city_code": "HKG"}, {"stuid": 1027, "lname": "Brody", "fname": "Paul", "age": 18, "sex": "M", "major": 520, "advisor": 8723, "city_code": "LOS"}, {"stuid": 1028, "lname": "Rugh", "fname": "Eric", "age": 20, "sex": "M", "major": 550, "advisor": 2311, "city_code": "ROC"}, {"stuid": 1029, "lname": "Han", "fname": "Jun", "age": 17, "sex": "M", "major": 100, "advisor": 2311, "city_code": "PEK"}, {"stuid": 1030, "lname": "Cheng", "fname": "Lisa", "age": 21, "sex": "F", "major": 550, "advisor": 2311, "city_code": "SFO"}, {"stuid": 1031, "lname": "Smith", "fname": "Sarah", "age": 20, "sex": "F", "major": 550, "advisor": 8772, "city_code": "PHL"}, {"stuid": 1032, "lname": "Brown", "fname": "Eric", "age": 20, "sex": "M", "major": 550, "advisor": 8772, "city_code": "ATL"}, {"stuid": 1033, "lname": "Simms", "fname": "William", "age": 18, "sex": "M", "major": 550, "advisor": 8772, "city_code": "NAR"}, {"stuid": 1034, "lname": "Epp", "fname": "Eric", "age": 18, "sex": "M", "major": 50, "advisor": 5718, "city_code": "BOS"}, {"stuid": 1035, "lname": "Schmidt", "fname": "Sarah", "age": 26, "sex": "F", "major": 50, "advisor": 5718, "city_code": "WAS"}], "sportsinfo": [{"stuid": 1001, "sportname": "Athletics", "hoursperweek": 2, "gamesplayed": 5, "onscholarship": "N"}, {"stuid": 1002, "sportname": "Football", "hoursperweek": 7, "gamesplayed": 20, "onscholarship": "Y"}, {"stuid": 1003, "sportname": "Football", "hoursperweek": 45, "gamesplayed": 18, "onscholarship": "Y"}, {"stuid": 1005, "sportname": "Lacrosse", "hoursperweek": 35, "gamesplayed": 16, "onscholarship": "N"}, {"stuid": 1015, "sportname": "Lacrosse", "hoursperweek": 25, "gamesplayed": 41, "onscholarship": "Y"}, {"stuid": 1018, "sportname": "Lacrosse", "hoursperweek": 39, "gamesplayed": 25, "onscholarship": "N"}, {"stuid": 1019, "sportname": "Swimming", "hoursperweek": 8, "gamesplayed": 16, "onscholarship": "Y"}, {"stuid": 1019, "sportname": "Tennis", "hoursperweek": 19, "gamesplayed": 62, "onscholarship": "N"}, {"stuid": 1022, "sportname": "Baseball", "hoursperweek": 29, "gamesplayed": 31, "onscholarship": "N"}, {"stuid": 1023, "sportname": "Basketball", "hoursperweek": 14, "gamesplayed": 8, "onscholarship": "Y"}, {"stuid": 1023, "sportname": "Tennis", "hoursperweek": 1, "gamesplayed": 56, "onscholarship": "Y"}, {"stuid": 1026, "sportname": "Cricket", "hoursperweek": 23, "gamesplayed": 37, "onscholarship": "Y"}, {"stuid": 1033, "sportname": "Soccer", "hoursperweek": 45, "gamesplayed": 45, "onscholarship": "Y"}, {"stuid": 1035, "sportname": "Curling", "hoursperweek": 50, "gamesplayed": 94, "onscholarship": "N"}]}, "correct_code": "-- Load game_1__student data\nstudent = load(\"student\")\n\nfiltered_student = student\n |> filter(lname == \"Adams\")\n |> filter(stuid <= 1012)\n\nsummary = filtered_student\n |> group_by(sex)\n |> aggregate(min_stuid: min(stuid), count: count())\n\nresult = summary\n |> sort_by(min_stuid, desc)\n |> take(3)\n\nemit result", "buggy_code": "-- Load game_1__student data\nstudent = load(\"student\")\n\nfiltered_student = student\n |> filter(lname == \"sex\")\n |> filter(stuid <= 1012)\n\nsummary = filtered_student\n |> group_by(sex)\n |> aggregate(min_stuid: min(stuid), count: count())\n\nresult = summary\n |> sort_by(min_stuid, desc)\n |> take(3)\n\nemit result", "expected_output": [{"sex": "M", "min_stuid": 1011, "count": 1}], "bug_info": [{"category": "wrong_col", "description": "Wrong column reference: 'Adams' \u2192 'sex'", "line_num": 5, "original": "|> filter(lname == \"Adams\")", "mutated": "|> filter(lname == \"sex\")"}], "difficulty": "medium", "domain": "game_1__student", "num_nodes": 4, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_hard | {"datasets": {"department": [{"dno": 10, "division": "AS", "dname": "History of Art", "room": "268", "building": "Mergenthaler", "dphone": 7117}, {"dno": 20, "division": "AS", "dname": "Biology", "room": "144", "building": "Mudd", "dphone": 7330}, {"dno": 30, "division": "AS", "dname": "Chemistry", "room": "113", "building": "Remsen", "dphone": 7429}, {"dno": 40, "division": "AS", "dname": "Classics", "room": "121", "building": "Gilman", "dphone": 7556}, {"dno": 50, "division": "AS", "dname": "Cognitive Science", "room": "381", "building": "Krieger", "dphone": 7119}, {"dno": 60, "division": "AS", "dname": "English", "room": "146", "building": "Gilman", "dphone": 7544}, {"dno": 70, "division": "AS", "dname": "Anthropology", "room": "404B", "building": "Macaulay", "dphone": 7272}, {"dno": 90, "division": "AS", "dname": "German", "room": "245", "building": "Gilman", "dphone": 7508}, {"dno": 100, "division": "AS", "dname": "History", "room": "312", "building": "Gilman", "dphone": 7575}, {"dno": 110, "division": "AS", "dname": "Mathematics", "room": "404", "building": "Krieger", "dphone": 7399}, {"dno": 130, "division": "AS", "dname": "Near Eastern Studies", "room": "128", "building": "Gilman", "dphone": 7499}, {"dno": 140, "division": "AS", "dname": "History of Science", "room": "234", "building": "Gilman", "dphone": 7501}, {"dno": 150, "division": "AS", "dname": "Philosophy", "room": "347", "building": "Gilman", "dphone": 7524}, {"dno": 170, "division": "AS", "dname": "Physics and Astronomy", "room": "366", "building": "Bloomberg", "dphone": 7347}, {"dno": 180, "division": "AS", "dname": "Economics", "room": "440", "building": "Mergenthaler", "dphone": 7601}, {"dno": 190, "division": "AS", "dname": "Political Science", "room": "338", "building": "Mergenthaler", "dphone": 7540}, {"dno": 200, "division": "AS", "dname": "Psychology", "room": "223", "building": "Ames", "dphone": 7055}, {"dno": 340, "division": "AS", "dname": "French", "room": "225", "building": "Gilman", "dphone": 7227}, {"dno": 350, "division": "AS", "dname": "Hispanic/Italian Studies", "room": "221", "building": "Gilman", "dphone": 7226}, {"dno": 520, "division": "EN", "dname": "ECE", "room": "105", "building": "Barton", "dphone": 7033}, {"dno": 530, "division": "EN", "dname": "Mechanical Engineering", "room": "122", "building": "Latrobe", "dphone": 7132}, {"dno": 540, "division": "EN", "dname": "Chemical Engineering", "room": "24", "building": "NEB", "dphone": 7170}, {"dno": 550, "division": "EN", "dname": "Mathematical Sciences", "room": "221", "building": "Maryland", "dphone": 7195}, {"dno": 560, "division": "EN", "dname": "Civil Engineering", "room": "206", "building": "Latrobe", "dphone": 8680}, {"dno": 580, "division": "EN", "dname": "Biomedical Engineering", "room": "144", "building": "NEB", "dphone": 8482}, {"dno": 600, "division": "EN", "dname": "Computer Science", "room": "224", "building": "NEB", "dphone": 8577}], "minor_in": [{"stuid": 1004, "dno": 520}, {"stuid": 1005, "dno": 550}, {"stuid": 1006, "dno": 50}, {"stuid": 1007, "dno": 520}, {"stuid": 1008, "dno": 550}, {"stuid": 1014, "dno": 90}, {"stuid": 1015, "dno": 140}, {"stuid": 1016, "dno": 190}, {"stuid": 1027, "dno": 530}, {"stuid": 1031, "dno": 540}]}, "correct_code": "-- Load college_3__department data\ndepartment = load(\"department\")\n\nfiltered_department = department\n |> filter(division == \"AS\")\n\nsummary = filtered_department\n |> group_by(dname)\n |> aggregate(total_dno: sum(dno), count: count())\n\nresult = summary\n |> sort_by(total_dno, desc)\n |> take(10)\n\nemit result", "buggy_code": "-- Load college_3__department data\ndepartment = load(\"department\")\n\nfiltered_department = department\n |> filter(division == \"ASs\")\n\nsummary = filtered_department\n |> group_by(dname)\n |> aggregate(total_dno: sum(dno), count: count())\n\nresult = summary\n |> sort_by(total_dno, desc)\n |> take(10)\n\nemit result", "expected_output": [{"dname": "Hispanic/Italian Studies", "total_dno": 350, "count": 1}, {"dname": "French", "total_dno": 340, "count": 1}, {"dname": "Psychology", "total_dno": 200, "count": 1}, {"dname": "Political Science", "total_dno": 190, "count": 1}, {"dname": "Economics", "total_dno": 180, "count": 1}, {"dname": "Physics and Astronomy", "total_dno": 170, "count": 1}, {"dname": "Philosophy", "total_dno": 150, "count": 1}, {"dname": "History of Science", "total_dno": 140, "count": 1}, {"dname": "Near Eastern Studies", "total_dno": 130, "count": 1}, {"dname": "Mathematics", "total_dno": 110, "count": 1}], "bug_info": [{"category": "logic_bug", "description": "Wrong filter value: 'AS' \u2192 'ASs'", "line_num": 5, "original": "|> filter(division == \"AS\")", "mutated": "|> filter(division == \"ASs\")"}], "difficulty": "hard", "domain": "college_3__department", "num_nodes": 4, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_medium | {"datasets": {"participates_in": [{"stuid": 1001, "actid": 770}, {"stuid": 1001, "actid": 771}, {"stuid": 1001, "actid": 777}, {"stuid": 1002, "actid": 772}, {"stuid": 1002, "actid": 771}, {"stuid": 1003, "actid": 778}, {"stuid": 1004, "actid": 780}, {"stuid": 1004, "actid": 782}, {"stuid": 1004, "actid": 778}, {"stuid": 1004, "actid": 777}, {"stuid": 1005, "actid": 770}, {"stuid": 1006, "actid": 773}, {"stuid": 1007, "actid": 773}, {"stuid": 1007, "actid": 784}, {"stuid": 1008, "actid": 785}, {"stuid": 1008, "actid": 773}, {"stuid": 1008, "actid": 780}, {"stuid": 1008, "actid": 790}, {"stuid": 1009, "actid": 778}, {"stuid": 1009, "actid": 777}, {"stuid": 1009, "actid": 782}, {"stuid": 1010, "actid": 780}, {"stuid": 1011, "actid": 780}, {"stuid": 1012, "actid": 780}, {"stuid": 1014, "actid": 780}, {"stuid": 1014, "actid": 777}, {"stuid": 1014, "actid": 778}, {"stuid": 1014, "actid": 782}, {"stuid": 1014, "actid": 770}, {"stuid": 1014, "actid": 772}, {"stuid": 1015, "actid": 785}, {"stuid": 1016, "actid": 791}, {"stuid": 1016, "actid": 772}, {"stuid": 1017, "actid": 791}, {"stuid": 1017, "actid": 771}, {"stuid": 1017, "actid": 770}, {"stuid": 1018, "actid": 790}, {"stuid": 1018, "actid": 785}, {"stuid": 1018, "actid": 784}, {"stuid": 1018, "actid": 777}, {"stuid": 1018, "actid": 772}, {"stuid": 1018, "actid": 770}, {"stuid": 1019, "actid": 785}, {"stuid": 1019, "actid": 790}, {"stuid": 1020, "actid": 780}, {"stuid": 1021, "actid": 780}, {"stuid": 1021, "actid": 776}, {"stuid": 1022, "actid": 782}, {"stuid": 1022, "actid": 790}, {"stuid": 1023, "actid": 790}, {"stuid": 1023, "actid": 776}, {"stuid": 1024, "actid": 778}, {"stuid": 1024, "actid": 777}, {"stuid": 1024, "actid": 780}, {"stuid": 1025, "actid": 780}, {"stuid": 1025, "actid": 777}, {"stuid": 1025, "actid": 770}, {"stuid": 1028, "actid": 785}, {"stuid": 1029, "actid": 785}, {"stuid": 1029, "actid": 790}, {"stuid": 1030, "actid": 780}, {"stuid": 1030, "actid": 790}, {"stuid": 1033, "actid": 780}, {"stuid": 1034, "actid": 780}, {"stuid": 1034, "actid": 777}, {"stuid": 1034, "actid": 772}, {"stuid": 1034, "actid": 771}, {"stuid": 1035, "actid": 777}, {"stuid": 1035, "actid": 780}, {"stuid": 1035, "actid": 784}], "student": [{"stuid": 1001, "lname": "Smith", "fname": "Linda", "age": 18, "sex": "F", "major": 600, "advisor": 1121, "city_code": "BAL"}, {"stuid": 1002, "lname": "Kim", "fname": "Tracy", "age": 19, "sex": "F", "major": 600, "advisor": 7712, "city_code": "HKG"}, {"stuid": 1003, "lname": "Jones", "fname": "Shiela", "age": 21, "sex": "F", "major": 600, "advisor": 7792, "city_code": "WAS"}, {"stuid": 1004, "lname": "Kumar", "fname": "Dinesh", "age": 20, "sex": "M", "major": 600, "advisor": 8423, "city_code": "CHI"}, {"stuid": 1005, "lname": "Gompers", "fname": "Paul", "age": 26, "sex": "M", "major": 600, "advisor": 1121, "city_code": "YYZ"}, {"stuid": 1006, "lname": "Schultz", "fname": "Andy", "age": 18, "sex": "M", "major": 600, "advisor": 1148, "city_code": "BAL"}, {"stuid": 1007, "lname": "Apap", "fname": "Lisa", "age": 18, "sex": "F", "major": 600, "advisor": 8918, "city_code": "PIT"}, {"stuid": 1008, "lname": "Nelson", "fname": "Jandy", "age": 20, "sex": "F", "major": 600, "advisor": 9172, "city_code": "BAL"}, {"stuid": 1009, "lname": "Tai", "fname": "Eric", "age": 19, "sex": "M", "major": 600, "advisor": 2192, "city_code": "YYZ"}, {"stuid": 1010, "lname": "Lee", "fname": "Derek", "age": 17, "sex": "M", "major": 600, "advisor": 2192, "city_code": "HOU"}, {"stuid": 1011, "lname": "Adams", "fname": "David", "age": 22, "sex": "M", "major": 600, "advisor": 1148, "city_code": "PHL"}, {"stuid": 1012, "lname": "Davis", "fname": "Steven", "age": 20, "sex": "M", "major": 600, "advisor": 7723, "city_code": "PIT"}, {"stuid": 1014, "lname": "Norris", "fname": "Charles", "age": 18, "sex": "M", "major": 600, "advisor": 8741, "city_code": "DAL"}, {"stuid": 1015, "lname": "Lee", "fname": "Susan", "age": 16, "sex": "F", "major": 600, "advisor": 8721, "city_code": "HKG"}, {"stuid": 1016, "lname": "Schwartz", "fname": "Mark", "age": 17, "sex": "M", "major": 600, "advisor": 2192, "city_code": "DET"}, {"stuid": 1017, "lname": "Wilson", "fname": "Bruce", "age": 27, "sex": "M", "major": 600, "advisor": 1148, "city_code": "LON"}, {"stuid": 1018, "lname": "Leighton", "fname": "Michael", "age": 20, "sex": "M", "major": 600, "advisor": 1121, "city_code": "PIT"}, {"stuid": 1019, "lname": "Pang", "fname": "Arthur", "age": 18, "sex": "M", "major": 600, "advisor": 2192, "city_code": "WAS"}, {"stuid": 1020, "lname": "Thornton", "fname": "Ian", "age": 22, "sex": "M", "major": 520, "advisor": 7271, "city_code": "NYC"}, {"stuid": 1021, "lname": "Andreou", "fname": "George", "age": 19, "sex": "M", "major": 520, "advisor": 8722, "city_code": "NYC"}, {"stuid": 1022, "lname": "Woods", "fname": "Michael", "age": 17, "sex": "M", "major": 540, "advisor": 8722, "city_code": "PHL"}, {"stuid": 1023, "lname": "Shieber", "fname": "David", "age": 20, "sex": "M", "major": 520, "advisor": 8722, "city_code": "NYC"}, {"stuid": 1024, "lname": "Prater", "fname": "Stacy", "age": 18, "sex": "F", "major": 540, "advisor": 7271, "city_code": "BAL"}, {"stuid": 1025, "lname": "Goldman", "fname": "Mark", "age": 18, "sex": "M", "major": 520, "advisor": 7134, "city_code": "PIT"}, {"stuid": 1026, "lname": "Pang", "fname": "Eric", "age": 19, "sex": "M", "major": 520, "advisor": 7134, "city_code": "HKG"}, {"stuid": 1027, "lname": "Brody", "fname": "Paul", "age": 18, "sex": "M", "major": 520, "advisor": 8723, "city_code": "LOS"}, {"stuid": 1028, "lname": "Rugh", "fname": "Eric", "age": 20, "sex": "M", "major": 550, "advisor": 2311, "city_code": "ROC"}, {"stuid": 1029, "lname": "Han", "fname": "Jun", "age": 17, "sex": "M", "major": 100, "advisor": 2311, "city_code": "PEK"}, {"stuid": 1030, "lname": "Cheng", "fname": "Lisa", "age": 21, "sex": "F", "major": 550, "advisor": 2311, "city_code": "SFO"}, {"stuid": 1031, "lname": "Smith", "fname": "Sarah", "age": 20, "sex": "F", "major": 550, "advisor": 8772, "city_code": "PHL"}, {"stuid": 1032, "lname": "Brown", "fname": "Eric", "age": 20, "sex": "M", "major": 550, "advisor": 8772, "city_code": "ATL"}, {"stuid": 1033, "lname": "Simms", "fname": "William", "age": 18, "sex": "M", "major": 550, "advisor": 8772, "city_code": "NAR"}, {"stuid": 1034, "lname": "Epp", "fname": "Eric", "age": 18, "sex": "M", "major": 50, "advisor": 5718, "city_code": "BOS"}, {"stuid": 1035, "lname": "Schmidt", "fname": "Sarah", "age": 26, "sex": "F", "major": 50, "advisor": 5718, "city_code": "WAS"}]}, "correct_code": "-- Load activity_1__participates_in data\nparticipates_in = load(\"participates_in\")\n\nfiltered_participates_in = participates_in\n |> filter(actid >= 770)\n |> select(stuid, actid)\n\nresult = filtered_participates_in\n |> sort_by(actid, desc)\n |> take(3)\n\nemit result", "buggy_code": "-- Load activity_1__participates_in data\nparticipates_in = load(\"participates_in\")\n\nfiltered_participates_in = participates_in\n |> filter(actid >= 770)\n |> select(stuid, actid)\n\nresult = filtered_participates_in\n |> sort_by(actid, desc)\n |> take(2)\n\nemit result", "expected_output": [{"stuid": 1016, "actid": 791}, {"stuid": 1017, "actid": 791}, {"stuid": 1008, "actid": 790}], "bug_info": [{"category": "logic_bug", "description": "Off-by-one in take: 3 \u2192 2", "line_num": 10, "original": "|> take(3)", "mutated": "|> take(2)"}], "difficulty": "medium", "domain": "activity_1__participates_in", "num_nodes": 3, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_easy | {"datasets": {"advisor": [{"s_id": "24746", "i_id": "19368"}, {"s_id": "79352", "i_id": "95030"}, {"s_id": "76672", "i_id": "22591"}, {"s_id": "14182", "i_id": "77346"}, {"s_id": "44985", "i_id": "31955"}, {"s_id": "96052", "i_id": "73623"}, {"s_id": "35175", "i_id": "90643"}, {"s_id": "44271", "i_id": "58558"}, {"s_id": "40897", "i_id": "73623"}, {"s_id": "92839", "i_id": "25946"}, {"s_id": "79329", "i_id": "58558"}, {"s_id": "97101", "i_id": "48570"}, {"s_id": "24865", "i_id": "6569"}, {"s_id": "36052", "i_id": "31955"}, {"s_id": "98940", "i_id": "99052"}, {"s_id": "21395", "i_id": "58558"}, {"s_id": "55859", "i_id": "28097"}, {"s_id": "74016", "i_id": "74420"}, {"s_id": "93061", "i_id": "64871"}, {"s_id": "94998", "i_id": "50330"}, {"s_id": "30772", "i_id": "57180"}, {"s_id": "1968", "i_id": "3335"}, {"s_id": "90567", "i_id": "48507"}, {"s_id": "49611", "i_id": "58558"}, {"s_id": "81538", "i_id": "59795"}, {"s_id": "68999", "i_id": "6569"}, {"s_id": "74639", "i_id": "41930"}, {"s_id": "66054", "i_id": "25946"}, {"s_id": "792", "i_id": "48507"}, {"s_id": "60267", "i_id": "81991"}, {"s_id": "17769", "i_id": "36897"}, {"s_id": "39580", "i_id": "3199"}, {"s_id": "89106", "i_id": "15347"}, {"s_id": "37856", "i_id": "25946"}, {"s_id": "58307", "i_id": "48507"}, {"s_id": "57985", "i_id": "52647"}, {"s_id": "72014", "i_id": "22591"}, {"s_id": "2795", "i_id": "28400"}, {"s_id": "89000", "i_id": "58558"}, {"s_id": "46442", "i_id": "48570"}, {"s_id": "60040", "i_id": "15347"}, {"s_id": "19791", "i_id": "59795"}, {"s_id": "4582", "i_id": "64871"}, {"s_id": "108", "i_id": "77346"}, {"s_id": "1533", "i_id": "50885"}, {"s_id": "7123", "i_id": "65931"}, {"s_id": "44584", "i_id": "64871"}, {"s_id": "32954", "i_id": "90376"}, {"s_id": "98056", "i_id": "73623"}, {"s_id": "76953", "i_id": "79081"}, {"s_id": "81884", "i_id": "3199"}, {"s_id": "22057", "i_id": 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"72979", "i_id": "41930"}, {"s_id": "32506", "i_id": "28097"}, {"s_id": "31690", "i_id": "14365"}, {"s_id": "87044", "i_id": "36897"}, {"s_id": "34236", "i_id": "57180"}, {"s_id": "18808", "i_id": "77346"}, {"s_id": "91063", "i_id": "52647"}, {"s_id": "48462", "i_id": "52647"}, {"s_id": "41965", "i_id": "65931"}, {"s_id": "31137", "i_id": "50330"}, {"s_id": "7602", "i_id": "63287"}, {"s_id": "84845", "i_id": "6569"}, {"s_id": "28252", "i_id": "90643"}, {"s_id": "10736", "i_id": "90643"}, {"s_id": "58465", "i_id": "59795"}, {"s_id": "64140", "i_id": "52647"}, {"s_id": "6523", "i_id": "43779"}, {"s_id": "64067", "i_id": "77346"}, {"s_id": "99399", "i_id": "4034"}, {"s_id": "21337", "i_id": "43779"}, {"s_id": "15457", "i_id": "95709"}, {"s_id": "26102", "i_id": "99052"}, {"s_id": "31337", "i_id": "50330"}, {"s_id": "67425", "i_id": "42782"}, {"s_id": "48640", "i_id": "3335"}, {"s_id": "72741", "i_id": "80759"}, {"s_id": "29803", "i_id": "3199"}, {"s_id": "38895", "i_id": "15347"}, {"s_id": "49391", "i_id": "16807"}, {"s_id": "13741", "i_id": "4034"}, {"s_id": "59538", "i_id": "42782"}, {"s_id": "9360", "i_id": "28097"}, {"s_id": "53728", "i_id": "57180"}, {"s_id": "77898", "i_id": "15347"}, {"s_id": "32419", "i_id": "95030"}, {"s_id": "37521", "i_id": "4034"}, {"s_id": "97065", "i_id": "79653"}], "instructor": [{"id": "63395", "name": "McKinnon", "dept_name": "Cybernetics", "salary": 94333.99}, {"id": "78699", "name": "Pingr", "dept_name": "Statistics", "salary": 59303.62}, {"id": "96895", "name": "Mird", "dept_name": "Marketing", "salary": 119921.41}, {"id": "4233", "name": "Luo", "dept_name": "English", "salary": 88791.45}, {"id": "4034", "name": "Murata", "dept_name": "Athletics", "salary": 61387.56}, {"id": "50885", "name": "Konstantinides", "dept_name": "Languages", "salary": 32570.5}, {"id": "79653", "name": "Levine", "dept_name": "Elec. Eng.", "salary": 89805.83}, {"id": "50330", "name": "Shuming", "dept_name": "Physics", "salary": 108011.81}, {"id": "80759", "name": "Queiroz", "dept_name": "Biology", "salary": 45538.32}, {"id": "73623", "name": "Sullivan", "dept_name": "Elec. Eng.", "salary": 90038.09}, {"id": "97302", "name": "Bertolino", "dept_name": "Mech. Eng.", "salary": 51647.57}, {"id": "57180", "name": "Hau", "dept_name": "Accounting", "salary": 43966.29}, {"id": "74420", "name": "Voronina", "dept_name": "Physics", "salary": 121141.99}, {"id": "35579", "name": "Soisalon-Soininen", "dept_name": "Psychology", "salary": 62579.61}, {"id": "31955", "name": "Moreira", "dept_name": "Accounting", "salary": 71351.42}, {"id": "37687", "name": "Arias", "dept_name": "Statistics", "salary": 104563.38}, {"id": "6569", "name": "Mingoz", "dept_name": "Finance", "salary": 105311.38}, {"id": "16807", "name": "Yazdi", "dept_name": "Athletics", "salary": 98333.65}, {"id": "14365", "name": "Lembr", "dept_name": "Accounting", "salary": 32241.56}, {"id": "90643", "name": "Choll", "dept_name": "Statistics", "salary": 57807.09}, {"id": "81991", "name": "Valtchev", "dept_name": "Biology", "salary": 77036.18}, {"id": "95030", "name": "Arinb", "dept_name": "Statistics", "salary": 54805.11}, {"id": "15347", "name": "Bawa", "dept_name": "Athletics", "salary": 72140.88}, {"id": "74426", "name": "Kenje", "dept_name": "Marketing", "salary": 106554.73}, {"id": "42782", "name": "Vicentino", "dept_name": "Elec. Eng.", "salary": 34272.67}, {"id": "58558", "name": "Dusserre", "dept_name": "Marketing", "salary": 66143.25}, {"id": "63287", "name": "Jaekel", "dept_name": "Athletics", "salary": 103146.87}, {"id": "59795", "name": "Desyl", "dept_name": "Languages", "salary": 48803.38}, {"id": "22591", "name": "DAgostino", "dept_name": "Psychology", "salary": 59706.49}, {"id": "48570", "name": "Sarkar", "dept_name": "Pol. Sci.", "salary": 87549.8}, {"id": "79081", "name": "Ullman ", "dept_name": "Accounting", "salary": 47307.1}, {"id": "52647", "name": "Bancilhon", "dept_name": "Pol. Sci.", "salary": 87958.01}, {"id": "25946", "name": "Liley", "dept_name": "Languages", "salary": 90891.69}, {"id": "36897", "name": "Morris", "dept_name": "Marketing", "salary": 43770.36}, {"id": "72553", "name": "Yin", "dept_name": "English", "salary": 46397.59}, {"id": "3199", "name": "Gustafsson", "dept_name": "Elec. Eng.", "salary": 82534.37}, {"id": "34175", "name": "Bondi", "dept_name": "Comp. Sci.", "salary": 115469.11}, {"id": "48507", "name": "Lent", "dept_name": "Mech. Eng.", "salary": 107978.47}, {"id": "65931", "name": "Pimenta", "dept_name": "Cybernetics", "salary": 79866.95}, {"id": "3335", "name": "Bourrier", "dept_name": "Comp. Sci.", "salary": 80797.83}, {"id": "64871", "name": "Gutierrez", "dept_name": "Statistics", "salary": 45310.53}, {"id": "95709", "name": "Sakurai", "dept_name": "English", "salary": 118143.98}, {"id": "43779", "name": "Romero", "dept_name": "Astronomy", "salary": 79070.08}, {"id": "77346", "name": "Mahmoud", "dept_name": "Geology", "salary": 99382.59}, {"id": "28097", "name": "Kean", "dept_name": "English", "salary": 35023.18}, {"id": "90376", "name": "Bietzk", "dept_name": "Cybernetics", "salary": 117836.5}, {"id": "28400", "name": "Atanassov", "dept_name": "Statistics", "salary": 84982.92}, {"id": "41930", "name": "Tung", "dept_name": "Athletics", "salary": 50482.03}, {"id": "19368", "name": "Wieland", "dept_name": "Pol. Sci.", "salary": 124651.41}, {"id": "99052", "name": "Dale", "dept_name": "Cybernetics", "salary": 93348.83}]}, "correct_code": "-- Load college_2__advisor data\nadvisor = load(\"advisor\")\n\nfiltered_advisor = advisor\n |> filter(i_id == \"15347\")\n\nemit filtered_advisor", "buggy_code": "-- Load college_2__advisor data\nadvisor = load(\"advisor\")\n\nfiltered_advisor = advisor\n |> filter(i_id < \"15347\")\n\nemit filtered_advisor", "expected_output": [{"s_id": "89106", "i_id": "15347"}, {"s_id": "60040", "i_id": "15347"}, {"s_id": "93004", "i_id": "15347"}, {"s_id": "4940", "i_id": "15347"}, {"s_id": "38895", "i_id": "15347"}, {"s_id": "77898", "i_id": "15347"}], "bug_info": [{"category": "wrong_arg", "description": "Wrong comparison operator: '==' \u2192 '<'", "line_num": 5, "original": "|> filter(i_id == \"15347\")", "mutated": "|> filter(i_id < \"15347\")"}], "difficulty": "easy", "domain": "college_2__advisor", "num_nodes": 2, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_medium | {"datasets": {"templates": [{"template_id": 0, "version_number": 5, "template_type_code": "PP", "date_effective_from": "2005-11-12 07:09:48", "date_effective_to": "2008-01-05 14:19:28", "template_details": ""}, {"template_id": 1, "version_number": 9, "template_type_code": "PP", "date_effective_from": "2010-09-24 01:15:11", "date_effective_to": "1999-07-08 03:31:04", "template_details": ""}, {"template_id": 4, "version_number": 4, "template_type_code": "BK", "date_effective_from": "2002-03-02 14:39:49", "date_effective_to": "2001-04-18 09:29:52", "template_details": ""}, {"template_id": 6, "version_number": 2, "template_type_code": "PPT", "date_effective_from": "1975-05-20 22:51:19", "date_effective_to": "1992-05-02 20:06:11", "template_details": ""}, {"template_id": 7, "version_number": 8, "template_type_code": "PPT", "date_effective_from": "1993-10-07 02:33:04", "date_effective_to": "1975-07-16 04:52:10", "template_details": ""}, {"template_id": 8, "version_number": 3, "template_type_code": "BK", "date_effective_from": "1983-07-16 21:16:16", "date_effective_to": "1976-10-28 10:08:50", "template_details": ""}, {"template_id": 9, "version_number": 2, "template_type_code": "BK", "date_effective_from": "1997-04-17 08:29:44", "date_effective_to": "1994-12-07 13:26:23", "template_details": ""}, {"template_id": 10, "version_number": 1, "template_type_code": "PPT", "date_effective_from": "2003-06-05 04:03:45", "date_effective_to": "2007-06-06 06:18:53", "template_details": ""}, {"template_id": 11, "version_number": 6, "template_type_code": "BK", "date_effective_from": "1996-02-04 11:27:24", "date_effective_to": "1995-09-19 22:27:48", "template_details": ""}, {"template_id": 14, "version_number": 7, "template_type_code": "AD", "date_effective_from": "1975-10-20 02:28:58", "date_effective_to": "1979-11-04 08:58:39", "template_details": ""}, {"template_id": 15, "version_number": 9, "template_type_code": "CV", "date_effective_from": "1986-12-09 14:51:36", "date_effective_to": "1993-03-24 14:30:23", "template_details": ""}, {"template_id": 16, "version_number": 5, "template_type_code": "CV", "date_effective_from": "2012-04-05 07:11:42", "date_effective_to": "1980-05-07 12:15:47", "template_details": ""}, {"template_id": 18, "version_number": 5, "template_type_code": "PP", "date_effective_from": "1984-08-07 13:36:26", "date_effective_to": "1998-05-12 12:51:29", "template_details": ""}, {"template_id": 19, "version_number": 7, "template_type_code": "AD", "date_effective_from": "1999-06-21 11:10:30", "date_effective_to": "1974-09-14 06:34:39", "template_details": ""}, {"template_id": 20, "version_number": 6, "template_type_code": "BK", "date_effective_from": "1986-11-14 12:20:18", "date_effective_to": "2008-08-08 18:36:43", "template_details": ""}, {"template_id": 21, "version_number": 9, "template_type_code": "AD", "date_effective_from": "2002-08-25 13:26:23", "date_effective_to": "2015-09-06 01:08:44", "template_details": ""}, {"template_id": 22, "version_number": 0, "template_type_code": "PP", "date_effective_from": "2005-02-20 00:31:34", "date_effective_to": "1989-11-24 19:06:06", "template_details": ""}, {"template_id": 23, "version_number": 2, "template_type_code": "BK", "date_effective_from": "1979-12-24 10:28:16", "date_effective_to": "2000-10-22 11:57:12", "template_details": ""}, {"template_id": 24, "version_number": 8, "template_type_code": "PP", "date_effective_from": "2008-08-01 13:57:26", "date_effective_to": "1973-01-12 14:13:34", "template_details": ""}, {"template_id": 25, "version_number": 5, "template_type_code": "PP", "date_effective_from": "1979-10-20 21:23:20", "date_effective_to": "2006-02-06 23:52:04", "template_details": ""}], "documents": [{"document_id": 0, "template_id": 7, "document_name": "Introduction of OS", "document_description": "n", "other_details": 0}, {"document_id": 1, "template_id": 25, "document_name": "Understanding DB", "document_description": "y", "other_details": 0}, {"document_id": 3, "template_id": 6, "document_name": "Summer Show", "document_description": "u", "other_details": 0}, {"document_id": 76, "template_id": 20, "document_name": "Robbin CV", "document_description": "y", "other_details": 0}, {"document_id": 80, "template_id": 14, "document_name": "Welcome to NY", "document_description": "h", "other_details": 0}, {"document_id": 82, "template_id": 11, "document_name": "Data base", "document_description": "w", "other_details": 0}, {"document_id": 2394, "template_id": 10, "document_name": "Customer reviews", "document_description": "y", "other_details": 0}, {"document_id": 3830, "template_id": 14, "document_name": "Do not panic", "document_description": "k", "other_details": 0}, {"document_id": 33930, "template_id": 1, "document_name": "How Google people work", "document_description": "z", "other_details": 0}, {"document_id": 50123, "template_id": 22, "document_name": "Learning French", "document_description": "r", "other_details": 0}, {"document_id": 651512, "template_id": 21, "document_name": "How to write a CV", "document_description": "f", "other_details": 0}, {"document_id": 801801, "template_id": 4, "document_name": "How to read a book", "document_description": "w", "other_details": 0}, {"document_id": 3540024, "template_id": 8, "document_name": "Palm reading", "document_description": "y", "other_details": 0}, {"document_id": 16514113, "template_id": 25, "document_name": "A history of Arts", "document_description": "h", "other_details": 0}, {"document_id": 385906526, "template_id": 11, "document_name": "About Korea", "document_description": "b", "other_details": 0}]}, "correct_code": "-- Load cre_Doc_Template_Mgt__templates data\ntemplates = load(\"templates\")\n\nfiltered_templates = templates\n |> filter(template_type_code == \"BK\")\n |> select(template_type_code, template_details, template_id)\n\nresult = filtered_templates\n |> sort_by(template_id, asc)\n |> take(3)\n\nemit result", "buggy_code": "-- Load cre_Doc_Template_Mgt__templates data\ntemplates = load(\"templates\")\n\nfiltered_templates = templates\n |> filter(template_type_code == \"BK\")\n |> select(template_type_code, template_id, template_id)\n\nresult = filtered_templates\n |> sort_by(template_id, asc)\n |> take(3)\n\nemit result", "expected_output": [{"template_type_code": "BK", "template_details": "", "template_id": 4}, {"template_type_code": "BK", "template_details": "", "template_id": 8}, {"template_type_code": "BK", "template_details": "", "template_id": 9}], "bug_info": [{"category": "wrong_col", "description": "Wrong column reference: 'template_details' \u2192 'template_id'", "line_num": 6, "original": "|> select(template_type_code, template_details, template_id)", "mutated": "|> select(template_type_code, template_id, template_id)"}], "difficulty": "medium", "domain": "cre_Doc_Template_Mgt__templates", "num_nodes": 3, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_easy | {"datasets": {"friend": [{"student_id": 1510, "friend_id": 1381}, {"student_id": 1510, "friend_id": 1689}, {"student_id": 1689, "friend_id": 1709}, {"student_id": 1381, "friend_id": 1247}, {"student_id": 1709, "friend_id": 1247}, {"student_id": 1689, "friend_id": 1782}, {"student_id": 1782, "friend_id": 1468}, {"student_id": 1782, "friend_id": 1316}, {"student_id": 1782, "friend_id": 1304}, {"student_id": 1468, "friend_id": 1101}, {"student_id": 1468, "friend_id": 1641}, {"student_id": 1101, "friend_id": 1641}, {"student_id": 1247, "friend_id": 1911}, {"student_id": 1247, "friend_id": 1501}, {"student_id": 1911, "friend_id": 1501}, {"student_id": 1501, "friend_id": 1934}, {"student_id": 1316, "friend_id": 1934}, {"student_id": 1934, "friend_id": 1304}, {"student_id": 1304, "friend_id": 1661}, {"student_id": 1661, "friend_id": 1025}], "highschooler": [{"id": 1510, "name": "Jordan", "grade": 9}, {"id": 1689, "name": "Gabriel", "grade": 9}, {"id": 1381, "name": "Tiffany", "grade": 9}, {"id": 1709, "name": "Cassandra", "grade": 9}, {"id": 1101, "name": "Haley", "grade": 10}, {"id": 1782, "name": "Andrew", "grade": 10}, {"id": 1468, "name": "Kris", "grade": 10}, {"id": 1641, "name": "Brittany", "grade": 10}, {"id": 1247, "name": "Alexis", "grade": 11}, {"id": 1316, "name": "Austin", "grade": 11}, {"id": 1911, "name": "Gabriel", "grade": 11}, {"id": 1501, "name": "Jessica", "grade": 11}, {"id": 1304, "name": "Jordan", "grade": 12}, {"id": 1025, "name": "John", "grade": 12}, {"id": 1934, "name": "Kyle", "grade": 12}, {"id": 1661, "name": "Logan", "grade": 12}]}, "correct_code": "-- Load network_1__friend data\nfriend = load(\"friend\")\n\nprocessed = friend\n |> compute(computed_val: friend_id - student_id)\n\nresult = processed\n |> sort_by(computed_val, asc)\n |> take(5)\n\nemit result", "buggy_code": "-- Load network_1__friend data\nfriend = load(\"friend\")\n\nprocessed = friend\n |> compute(computed_val: friend_id - student_id)\n\nresult = processed\n |> sort_bi(computed_val, asc)\n |> take(5)\n\nemit result", "expected_output": [{"student_id": 1661, "friend_id": 1025, "computed_val": -636}, {"student_id": 1934, "friend_id": 1304, "computed_val": -630}, {"student_id": 1782, "friend_id": 1304, "computed_val": -478}, {"student_id": 1782, "friend_id": 1316, "computed_val": -466}, {"student_id": 1709, "friend_id": 1247, "computed_val": -462}], "bug_info": [{"category": "syntax", "description": "Typo in keyword: 'sort_by' \u2192 'sort_bi'", "line_num": 8, "original": "|> sort_by(computed_val, asc)", "mutated": "|> sort_bi(computed_val, asc)"}], "difficulty": "easy", "domain": "network_1__friend", "num_nodes": 3, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_medium | {"datasets": {"weather": [{"date": "8/29/2013", "max_temperature_f": 74, "mean_temperature_f": 68, "min_temperature_f": 61, "max_dew_point_f": 61, "mean_dew_point_f": 58, "min_dew_point_f": 56, "max_humidity": 93, "mean_humidity": 75, "min_humidity": 57, "max_sea_level_pressure_inches": 30.07, "mean_sea_level_pressure_inches": 30.02, "min_sea_level_pressure_inches": 29.97, "max_visibility_miles": 10, "mean_visibility_miles": 10, "min_visibility_miles": 10, "max_wind_speed_mph": 23, "mean_wind_speed_mph": 11, "max_gust_speed_mph": 28, "precipitation_inches": 0, "cloud_cover": 4, "events": "", "wind_dir_degrees": 286, "zip_code": 94107}, {"date": "8/30/2013", "max_temperature_f": 78, "mean_temperature_f": 69, "min_temperature_f": 60, "max_dew_point_f": 61, "mean_dew_point_f": 58, "min_dew_point_f": 56, "max_humidity": 90, "mean_humidity": 70, "min_humidity": 50, "max_sea_level_pressure_inches": 30.05, "mean_sea_level_pressure_inches": 30, "min_sea_level_pressure_inches": 29.93, "max_visibility_miles": 10, "mean_visibility_miles": 10, "min_visibility_miles": 7, "max_wind_speed_mph": 29, "mean_wind_speed_mph": 13, "max_gust_speed_mph": 35, "precipitation_inches": 0, "cloud_cover": 2, "events": "", "wind_dir_degrees": 291, "zip_code": 94107}, {"date": "8/31/2013", "max_temperature_f": 71, "mean_temperature_f": 64, "min_temperature_f": 57, "max_dew_point_f": 57, "mean_dew_point_f": 56, "min_dew_point_f": 54, "max_humidity": 93, "mean_humidity": 75, "min_humidity": 57, "max_sea_level_pressure_inches": 30, "mean_sea_level_pressure_inches": 29.96, "min_sea_level_pressure_inches": 29.92, "max_visibility_miles": 10, "mean_visibility_miles": 10, "min_visibility_miles": 10, "max_wind_speed_mph": 26, "mean_wind_speed_mph": 15, "max_gust_speed_mph": 31, "precipitation_inches": 0, "cloud_cover": 4, "events": "", "wind_dir_degrees": 284, "zip_code": 94107}, {"date": "9/1/2013", "max_temperature_f": 74, "mean_temperature_f": 66, "min_temperature_f": 58, "max_dew_point_f": 60, "mean_dew_point_f": 56, "min_dew_point_f": 53, "max_humidity": 87, "mean_humidity": 68, "min_humidity": 49, "max_sea_level_pressure_inches": 29.96, "mean_sea_level_pressure_inches": 29.93, "min_sea_level_pressure_inches": 29.91, "max_visibility_miles": 10, "mean_visibility_miles": 10, "min_visibility_miles": 10, "max_wind_speed_mph": 25, "mean_wind_speed_mph": 13, "max_gust_speed_mph": 29, "precipitation_inches": 0, "cloud_cover": 4, "events": "", "wind_dir_degrees": 284, "zip_code": 94107}, {"date": "9/2/2013", "max_temperature_f": 75, "mean_temperature_f": 69, "min_temperature_f": 62, "max_dew_point_f": 61, "mean_dew_point_f": 60, "min_dew_point_f": 58, "max_humidity": 93, "mean_humidity": 77, "min_humidity": 61, "max_sea_level_pressure_inches": 29.97, "mean_sea_level_pressure_inches": 29.94, "min_sea_level_pressure_inches": 29.9, "max_visibility_miles": 10, "mean_visibility_miles": 10, "min_visibility_miles": 6, "max_wind_speed_mph": 23, "mean_wind_speed_mph": 12, "max_gust_speed_mph": 30, "precipitation_inches": 0, "cloud_cover": 6, "events": "", "wind_dir_degrees": 277, "zip_code": 94107}, {"date": "9/3/2013", "max_temperature_f": 73, "mean_temperature_f": 67, "min_temperature_f": 60, "max_dew_point_f": 59, "mean_dew_point_f": 56, "min_dew_point_f": 51, "max_humidity": 84, "mean_humidity": 65, "min_humidity": 46, "max_sea_level_pressure_inches": 30.02, "mean_sea_level_pressure_inches": 29.98, "min_sea_level_pressure_inches": 29.95, "max_visibility_miles": 10, "mean_visibility_miles": 10, "min_visibility_miles": 10, "max_wind_speed_mph": 24, "mean_wind_speed_mph": 15, "max_gust_speed_mph": 31, "precipitation_inches": 0, "cloud_cover": 2, "events": "", "wind_dir_degrees": 276, "zip_code": 94107}, {"date": "9/4/2013", "max_temperature_f": 74, "mean_temperature_f": 68, "min_temperature_f": 61, "max_dew_point_f": 59, "mean_dew_point_f": 57, "min_dew_point_f": 56, "max_humidity": 90, "mean_humidity": 72, "min_humidity": 53, "max_sea_level_pressure_inches": 30.05, "mean_sea_level_pressure_inches": 30.01, "min_sea_level_pressure_inches": 29.97, "max_visibility_miles": 10, "mean_visibility_miles": 10, "min_visibility_miles": 10, "max_wind_speed_mph": 29, "mean_wind_speed_mph": 19, "max_gust_speed_mph": 35, "precipitation_inches": 0, "cloud_cover": 4, "events": "", "wind_dir_degrees": 269, "zip_code": 94107}, {"date": "9/5/2013", "max_temperature_f": 72, "mean_temperature_f": 66, "min_temperature_f": 60, "max_dew_point_f": 57, "mean_dew_point_f": 56, "min_dew_point_f": 54, "max_humidity": 90, "mean_humidity": 74, "min_humidity": 57, "max_sea_level_pressure_inches": 30.04, "mean_sea_level_pressure_inches": 30, "min_sea_level_pressure_inches": 29.97, "max_visibility_miles": 10, "mean_visibility_miles": 10, "min_visibility_miles": 10, "max_wind_speed_mph": 31, "mean_wind_speed_mph": 21, "max_gust_speed_mph": 37, "precipitation_inches": 0, "cloud_cover": 3, "events": "", "wind_dir_degrees": 270, "zip_code": 94107}, {"date": "9/6/2013", "max_temperature_f": 85, "mean_temperature_f": 71, "min_temperature_f": 56, "max_dew_point_f": 57, "mean_dew_point_f": 51, "min_dew_point_f": 45, "max_humidity": 86, "mean_humidity": 58, "min_humidity": 29, "max_sea_level_pressure_inches": 30, "mean_sea_level_pressure_inches": 29.92, "min_sea_level_pressure_inches": 29.83, "max_visibility_miles": 10, "mean_visibility_miles": 10, "min_visibility_miles": 10, "max_wind_speed_mph": 24, "mean_wind_speed_mph": 8, "max_gust_speed_mph": 28, "precipitation_inches": 0, "cloud_cover": 0, "events": "", "wind_dir_degrees": 287, "zip_code": 94107}, {"date": "9/7/2013", "max_temperature_f": 88, "mean_temperature_f": 73, "min_temperature_f": 58, "max_dew_point_f": 64, "mean_dew_point_f": 54, "min_dew_point_f": 46, "max_humidity": 86, "mean_humidity": 59, "min_humidity": 31, "max_sea_level_pressure_inches": 29.88, "mean_sea_level_pressure_inches": 29.85, "min_sea_level_pressure_inches": 29.81, "max_visibility_miles": 10, "mean_visibility_miles": 10, "min_visibility_miles": 10, "max_wind_speed_mph": 21, "mean_wind_speed_mph": 8, "max_gust_speed_mph": 25, "precipitation_inches": 0, "cloud_cover": 1, "events": "", "wind_dir_degrees": 305, "zip_code": 94107}, {"date": "9/8/2013", "max_temperature_f": 74, "mean_temperature_f": 65, "min_temperature_f": 56, "max_dew_point_f": 58, "mean_dew_point_f": 54, "min_dew_point_f": 52, "max_humidity": 86, "mean_humidity": 70, "min_humidity": 53, "max_sea_level_pressure_inches": 29.88, "mean_sea_level_pressure_inches": 29.83, "min_sea_level_pressure_inches": 29.76, "max_visibility_miles": 10, "mean_visibility_miles": 10, "min_visibility_miles": 10, "max_wind_speed_mph": 26, "mean_wind_speed_mph": 11, "max_gust_speed_mph": 31, "precipitation_inches": 0, "cloud_cover": 2, "events": "", "wind_dir_degrees": 299, "zip_code": 94107}, {"date": "9/9/2013", "max_temperature_f": 76, "mean_temperature_f": 66, "min_temperature_f": 55, "max_dew_point_f": 58, "mean_dew_point_f": 55, "min_dew_point_f": 52, "max_humidity": 90, "mean_humidity": 70, "min_humidity": 50, "max_sea_level_pressure_inches": 29.82, "mean_sea_level_pressure_inches": 29.77, "min_sea_level_pressure_inches": 29.72, "max_visibility_miles": 10, "mean_visibility_miles": 10, "min_visibility_miles": 10, "max_wind_speed_mph": 26, "mean_wind_speed_mph": 11, "max_gust_speed_mph": 30, "precipitation_inches": 0, "cloud_cover": 1, "events": "", "wind_dir_degrees": 303, "zip_code": 94107}, {"date": "9/10/2013", "max_temperature_f": 74, "mean_temperature_f": 66, "min_temperature_f": 57, "max_dew_point_f": 59, "mean_dew_point_f": 56, "min_dew_point_f": 54, "max_humidity": 93, "mean_humidity": 73, "min_humidity": 53, "max_sea_level_pressure_inches": 29.91, "mean_sea_level_pressure_inches": 29.82, "min_sea_level_pressure_inches": 29.76, "max_visibility_miles": 10, "mean_visibility_miles": 10, "min_visibility_miles": 10, "max_wind_speed_mph": 17, "mean_wind_speed_mph": 8, "max_gust_speed_mph": 21, "precipitation_inches": 0, "cloud_cover": 1, "events": "", "wind_dir_degrees": 230, "zip_code": 94107}, {"date": "9/11/2013", "max_temperature_f": 74, "mean_temperature_f": 68, "min_temperature_f": 62, "max_dew_point_f": 57, "mean_dew_point_f": 55, "min_dew_point_f": 54, "max_humidity": 78, "mean_humidity": 68, "min_humidity": 57, "max_sea_level_pressure_inches": 30, "mean_sea_level_pressure_inches": 29.97, "min_sea_level_pressure_inches": 29.91, "max_visibility_miles": 10, "mean_visibility_miles": 10, "min_visibility_miles": 10, "max_wind_speed_mph": 18, "mean_wind_speed_mph": 9, "max_gust_speed_mph": 23, "precipitation_inches": 0, "cloud_cover": 5, "events": "", "wind_dir_degrees": 219, "zip_code": 94107}, {"date": "9/12/2013", "max_temperature_f": 71, "mean_temperature_f": 65, "min_temperature_f": 59, "max_dew_point_f": 58, "mean_dew_point_f": 57, "min_dew_point_f": 55, "max_humidity": 84, "mean_humidity": 73, "min_humidity": 61, "max_sea_level_pressure_inches": 29.99, "mean_sea_level_pressure_inches": 29.95, "min_sea_level_pressure_inches": 29.91, "max_visibility_miles": 10, "mean_visibility_miles": 10, "min_visibility_miles": 9, "max_wind_speed_mph": 25, "mean_wind_speed_mph": 11, "max_gust_speed_mph": 30, "precipitation_inches": 0, "cloud_cover": 7, "events": "Fog", "wind_dir_degrees": 268, "zip_code": 94107}, {"date": "9/13/2013", "max_temperature_f": 66, "mean_temperature_f": 62, "min_temperature_f": 57, "max_dew_point_f": 55, "mean_dew_point_f": 54, "min_dew_point_f": 54, "max_humidity": 93, "mean_humidity": 80, "min_humidity": 67, "max_sea_level_pressure_inches": 29.92, "mean_sea_level_pressure_inches": 29.87, "min_sea_level_pressure_inches": 29.8, "max_visibility_miles": 10, "mean_visibility_miles": 10, "min_visibility_miles": 7, "max_wind_speed_mph": 30, "mean_wind_speed_mph": 15, "max_gust_speed_mph": 37, "precipitation_inches": 0, "cloud_cover": 6, "events": "", "wind_dir_degrees": 271, "zip_code": 94107}, {"date": "9/14/2013", "max_temperature_f": 66, "mean_temperature_f": 62, "min_temperature_f": 57, "max_dew_point_f": 55, "mean_dew_point_f": 54, "min_dew_point_f": 53, "max_humidity": 87, "mean_humidity": 77, "min_humidity": 67, "max_sea_level_pressure_inches": 29.86, "mean_sea_level_pressure_inches": 29.81, "min_sea_level_pressure_inches": 29.77, "max_visibility_miles": 10, "mean_visibility_miles": 10, "min_visibility_miles": 9, "max_wind_speed_mph": 25, "mean_wind_speed_mph": 16, "max_gust_speed_mph": 33, "precipitation_inches": 0, "cloud_cover": 7, "events": "", "wind_dir_degrees": 265, "zip_code": 94107}, {"date": "9/15/2013", "max_temperature_f": 73, "mean_temperature_f": 66, "min_temperature_f": 58, "max_dew_point_f": 59, "mean_dew_point_f": 55, "min_dew_point_f": 52, "max_humidity": 90, "mean_humidity": 72, "min_humidity": 53, "max_sea_level_pressure_inches": 29.88, "mean_sea_level_pressure_inches": 29.85, "min_sea_level_pressure_inches": 29.81, "max_visibility_miles": 10, "mean_visibility_miles": 10, "min_visibility_miles": 6, "max_wind_speed_mph": 23, "mean_wind_speed_mph": 13, "max_gust_speed_mph": 26, "precipitation_inches": 0, "cloud_cover": 5, "events": "", "wind_dir_degrees": 276, "zip_code": 94107}, {"date": "9/16/2013", "max_temperature_f": 71, "mean_temperature_f": 65, "min_temperature_f": 59, "max_dew_point_f": 58, "mean_dew_point_f": 55, "min_dew_point_f": 53, "max_humidity": 90, "mean_humidity": 74, "min_humidity": 57, "max_sea_level_pressure_inches": 29.91, "mean_sea_level_pressure_inches": 29.87, "min_sea_level_pressure_inches": 29.81, "max_visibility_miles": 10, "mean_visibility_miles": 10, "min_visibility_miles": 6, "max_wind_speed_mph": 31, "mean_wind_speed_mph": 16, "max_gust_speed_mph": 39, "precipitation_inches": 0, "cloud_cover": 3, "events": "", "wind_dir_degrees": 274, "zip_code": 94107}, {"date": "9/17/2013", "max_temperature_f": 68, "mean_temperature_f": 63, "min_temperature_f": 57, "max_dew_point_f": 55, "mean_dew_point_f": 53, "min_dew_point_f": 50, "max_humidity": 86, "mean_humidity": 72, "min_humidity": 58, "max_sea_level_pressure_inches": 29.91, "mean_sea_level_pressure_inches": 29.87, "min_sea_level_pressure_inches": 29.84, "max_visibility_miles": 10, "mean_visibility_miles": 10, "min_visibility_miles": 10, "max_wind_speed_mph": 39, "mean_wind_speed_mph": 22, "max_gust_speed_mph": 51, "precipitation_inches": 0, "cloud_cover": 3, "events": "", "wind_dir_degrees": 270, "zip_code": 94107}, {"date": "9/18/2013", "max_temperature_f": 78, "mean_temperature_f": 66, "min_temperature_f": 54, "max_dew_point_f": 55, "mean_dew_point_f": 49, "min_dew_point_f": 47, "max_humidity": 78, "mean_humidity": 60, "min_humidity": 41, "max_sea_level_pressure_inches": 29.92, "mean_sea_level_pressure_inches": 29.88, "min_sea_level_pressure_inches": 29.85, "max_visibility_miles": 10, "mean_visibility_miles": 10, "min_visibility_miles": 10, 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"min_dew_point_f": 52, "max_humidity": 88, "mean_humidity": 77, "min_humidity": 50, "max_sea_level_pressure_inches": 29.93, "mean_sea_level_pressure_inches": 29.88, "min_sea_level_pressure_inches": 29.8, "max_visibility_miles": 10, "mean_visibility_miles": 10, "min_visibility_miles": 10, "max_wind_speed_mph": 15, "mean_wind_speed_mph": 6, "max_gust_speed_mph": "", "precipitation_inches": 0, "cloud_cover": 4, "events": "", "wind_dir_degrees": 294, "zip_code": 94063}]}, "correct_code": "-- Load bike_1__weather data\nweather = load(\"weather\")\n\nfiltered_weather = weather\n |> filter(min_sea_level_pressure_inches <= 30)\n |> select(date, events, max_temperature_f)\n\nsummary = filtered_weather\n |> group_by(events)\n |> aggregate(avg_max_temperature_f: avg(max_temperature_f), count: count())\n\nresult = summary\n |> sort_by(avg_max_temperature_f, asc)\n |> take(5)\n\nemit result", "buggy_code": "-- Load bike_1__weather data\nweather = load(\"weather\")\n\nfiltered_weather = weather\n |> filter(min_sea_level_pressure_inches >== 30)\n |> select(date, events, max_temperature_f)\n\nsummary = filtered_weather\n |> group_by(events)\n |> aggregate(events: avg(max_temperature_f), count: count())\n\nresult = summary\n |> sort_by(avg_max_temperature_f, asc)\n |> take(5)\n\nemit result", "expected_output": [{"events": "Rain", "avg_max_temperature_f": 59.06666666666667, "count": 15}, {"events": "Fog-Rain", "avg_max_temperature_f": 62.0, "count": 1}, {"events": "rain", "avg_max_temperature_f": 63.0, "count": 1}, {"events": "Fog", "avg_max_temperature_f": 66.625, "count": 8}, {"events": "", "avg_max_temperature_f": 70.95652173913044, "count": 92}], "bug_info": [{"category": "wrong_col", "description": "Wrong column reference: 'avg_max_temperature_f' \u2192 'events'", "line_num": 10, "original": "|> aggregate(avg_max_temperature_f: avg(max_temperature_f), count: count())", "mutated": "|> aggregate(events: avg(max_temperature_f), count: count())"}, {"category": "wrong_arg", "description": "Wrong comparison operator: '<' \u2192 '>='", "line_num": 5, "original": "|> filter(min_sea_level_pressure_inches <= 30)", "mutated": "|> filter(min_sea_level_pressure_inches >== 30)"}], "difficulty": "medium", "domain": "bike_1__weather", "num_nodes": 4, "has_join": false} |
[
{
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"name": "Cooper-Ferrari", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 193, "constructorref": "cooper-ats", "name": "Cooper-ATS", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 194, "constructorref": "mclaren-brm", "name": "McLaren-BRM", "nationality": "British", "url": "http://en.wikipedia.org/wiki/McLaren_(racing)"}, {"constructorid": 195, "constructorref": "cooper-brm", "name": "Cooper-BRM", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 196, "constructorref": "matra-ford", "name": "Matra-Ford", "nationality": "French", "url": "http://en.wikipedia.org/wiki/Matra"}, {"constructorid": 197, "constructorref": "brm-ford", "name": "BRM-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/BRM"}, {"constructorid": 198, "constructorref": "mclaren-alfa_romeo", "name": "McLaren-Alfa Romeo", "nationality": "British", "url": "http://en.wikipedia.org/wiki/McLaren_(racing)"}, {"constructorid": 199, "constructorref": "march-alfa_romeo", "name": "March-Alfa Romeo", "nationality": "British", "url": "http://en.wikipedia.org/wiki/March_Engineering"}, {"constructorid": 200, "constructorref": "march-ford", "name": "March-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/March_Engineering"}, {"constructorid": 201, "constructorref": "lotus-pw", "name": "Lotus-Pratt & Whitney", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_Lotus"}, {"constructorid": 202, "constructorref": "shadow-ford", "name": "Shadow-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Shadow_Racing_Cars"}]}, "correct_code": "-- Load formula_1__results data\nresults = load(\"results\")\n\nsummary = results\n |> group_by(fastestlapspeed)\n |> aggregate(min_driverid: min(driverid), count: count())\n\nresult = summary\n |> sort_by(count, desc)\n |> take(5)\n\nemit result", "buggy_code": "-- Load formula_1__results data\nresults = load(\"results\")\n\nsummary = results\n |> group_by(fastestlapspeed)\n |> aggregate(fastestlapspeed: min(driverid), count: count())\n\nresult = summary\n |> sort_by(count, desc)\n |> take(5)\n\nemit result", "expected_output": [{"fastestlapspeed": "", "min_driverid": 6, "count": 14}, {"fastestlapspeed": "218.3", "min_driverid": 1, "count": 1}, {"fastestlapspeed": "217.586", "min_driverid": 2, "count": 1}, {"fastestlapspeed": "216.719", "min_driverid": 3, "count": 1}, {"fastestlapspeed": "215.464", "min_driverid": 4, "count": 1}], "bug_info": [{"category": "wrong_col", "description": "Wrong column reference: 'min_driverid' \u2192 'fastestlapspeed'", "line_num": 6, "original": "|> aggregate(min_driverid: min(driverid), count: count())", "mutated": "|> aggregate(fastestlapspeed: min(driverid), count: count())"}], "difficulty": "hard", "domain": "formula_1__results", "num_nodes": 3, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_hard | {"datasets": {"advisor": [{"s_id": "24746", "i_id": "19368"}, {"s_id": "79352", "i_id": "95030"}, {"s_id": "76672", "i_id": "22591"}, {"s_id": "14182", "i_id": "77346"}, {"s_id": "44985", "i_id": "31955"}, {"s_id": "96052", "i_id": "73623"}, {"s_id": "35175", "i_id": "90643"}, {"s_id": "44271", "i_id": "58558"}, {"s_id": "40897", "i_id": "73623"}, {"s_id": "92839", "i_id": "25946"}, {"s_id": "79329", "i_id": "58558"}, {"s_id": "97101", "i_id": "48570"}, {"s_id": "24865", "i_id": "6569"}, {"s_id": "36052", "i_id": "31955"}, {"s_id": "98940", "i_id": "99052"}, {"s_id": "21395", "i_id": "58558"}, {"s_id": "55859", "i_id": "28097"}, {"s_id": "74016", "i_id": "74420"}, {"s_id": "93061", "i_id": "64871"}, {"s_id": "94998", "i_id": "50330"}, {"s_id": "30772", "i_id": "57180"}, {"s_id": "1968", "i_id": "3335"}, {"s_id": "90567", "i_id": "48507"}, {"s_id": "49611", "i_id": "58558"}, {"s_id": "81538", "i_id": "59795"}, {"s_id": "68999", "i_id": "6569"}, {"s_id": "74639", "i_id": "41930"}, {"s_id": "66054", "i_id": "25946"}, {"s_id": "792", "i_id": "48507"}, {"s_id": "60267", "i_id": "81991"}, {"s_id": "17769", "i_id": "36897"}, {"s_id": "39580", "i_id": "3199"}, {"s_id": "89106", "i_id": "15347"}, {"s_id": "37856", "i_id": "25946"}, {"s_id": "58307", "i_id": "48507"}, {"s_id": "57985", "i_id": "52647"}, {"s_id": "72014", "i_id": "22591"}, {"s_id": "2795", "i_id": "28400"}, {"s_id": "89000", "i_id": "58558"}, {"s_id": "46442", "i_id": "48570"}, {"s_id": "60040", "i_id": "15347"}, {"s_id": "19791", "i_id": "59795"}, {"s_id": "4582", "i_id": "64871"}, {"s_id": "108", "i_id": "77346"}, {"s_id": "1533", "i_id": "50885"}, {"s_id": "7123", "i_id": "65931"}, {"s_id": "44584", "i_id": "64871"}, {"s_id": "32954", "i_id": "90376"}, {"s_id": "98056", "i_id": "73623"}, {"s_id": "76953", "i_id": "79081"}, {"s_id": "81884", "i_id": "3199"}, {"s_id": "22057", "i_id": "48507"}, {"s_id": "21126", "i_id": "52647"}, {"s_id": "82918", "i_id": "81991"}, {"s_id": "4173", "i_id": "25946"}, {"s_id": "83022", "i_id": "64871"}, {"s_id": "25525", "i_id": "96895"}, {"s_id": "75040", "i_id": "80759"}, {"s_id": "31624", "i_id": "41930"}, {"s_id": "64893", "i_id": "96895"}, {"s_id": "59920", "i_id": "72553"}, {"s_id": "38602", "i_id": "77346"}, {"s_id": "21401", "i_id": "79081"}, {"s_id": "93004", "i_id": "15347"}, {"s_id": "38899", "i_id": "37687"}, {"s_id": "75241", "i_id": "28097"}, {"s_id": "98830", "i_id": "80759"}, {"s_id": "37101", "i_id": "80759"}, {"s_id": "4508", "i_id": "28097"}, {"s_id": "32130", "i_id": "16807"}, {"s_id": "56755", "i_id": "79653"}, {"s_id": "11510", "i_id": "95709"}, {"s_id": "3335", "i_id": "74420"}, {"s_id": "61081", "i_id": "80759"}, {"s_id": "33651", "i_id": "96895"}, {"s_id": "8251", "i_id": "73623"}, {"s_id": "10705", "i_id": "6569"}, {"s_id": "64082", "i_id": "74426"}, {"s_id": "59517", "i_id": "34175"}, {"s_id": "91569", "i_id": "14365"}, {"s_id": "88085", "i_id": "28400"}, {"s_id": "96722", "i_id": "58558"}, {"s_id": "36379", "i_id": "42782"}, {"s_id": "69581", "i_id": "25946"}, {"s_id": "65329", "i_id": "3335"}, {"s_id": "49214", "i_id": "4034"}, {"s_id": "64155", "i_id": "36897"}, {"s_id": "58594", "i_id": "74420"}, {"s_id": "71904", "i_id": "95030"}, {"s_id": "69241", "i_id": "72553"}, {"s_id": "58889", "i_id": "3335"}, {"s_id": "30341", "i_id": "79081"}, {"s_id": "70688", "i_id": "97302"}, {"s_id": "81258", "i_id": "58558"}, {"s_id": "63090", "i_id": "25946"}, {"s_id": "70572", "i_id": "35579"}, {"s_id": "58413", "i_id": "28400"}, {"s_id": "93171", "i_id": "6569"}, {"s_id": "35138", "i_id": "41930"}, {"s_id": "77289", "i_id": "59795"}, {"s_id": "93571", "i_id": "57180"}, {"s_id": "14554", "i_id": "22591"}, {"s_id": "46725", "i_id": "90376"}, {"s_id": "99730", "i_id": "3199"}, {"s_id": "10527", "i_id": "36897"}, {"s_id": "898", "i_id": "22591"}, {"s_id": "64297", "i_id": "43779"}, {"s_id": "10204", "i_id": "65931"}, {"s_id": "36926", "i_id": "43779"}, {"s_id": "49618", "i_id": "74426"}, {"s_id": "34329", "i_id": "81991"}, {"s_id": "84410", "i_id": "81991"}, {"s_id": "29435", "i_id": "77346"}, {"s_id": "62636", "i_id": "79081"}, {"s_id": "8483", "i_id": "74426"}, {"s_id": "2177", "i_id": "50330"}, {"s_id": "43348", "i_id": "81991"}, {"s_id": "37430", "i_id": "41930"}, {"s_id": "37586", "i_id": "81991"}, {"s_id": "55238", "i_id": "35579"}, {"s_id": "34404", "i_id": "74426"}, {"s_id": "59539", "i_id": "28400"}, {"s_id": "43123", "i_id": "95030"}, {"s_id": "19582", "i_id": "96895"}, {"s_id": "88553", "i_id": "31955"}, {"s_id": "5898", "i_id": "34175"}, {"s_id": "2419", "i_id": "73623"}, {"s_id": "31516", "i_id": "95030"}, {"s_id": "3487", "i_id": "4034"}, {"s_id": "66269", "i_id": "58558"}, {"s_id": "54622", "i_id": "4034"}, {"s_id": "19638", "i_id": "4034"}, {"s_id": "88418", "i_id": "57180"}, {"s_id": "86802", "i_id": "35579"}, {"s_id": "63361", "i_id": "90643"}, {"s_id": "6367", "i_id": "14365"}, {"s_id": "84239", "i_id": "22591"}, {"s_id": "4940", "i_id": "15347"}, {"s_id": "90663", "i_id": "77346"}, {"s_id": "38476", "i_id": "95030"}, {"s_id": "96003", "i_id": "3335"}, {"s_id": "64914", "i_id": "14365"}, {"s_id": "41599", "i_id": "48507"}, {"s_id": "22226", "i_id": "64871"}, {"s_id": "96153", "i_id": "28097"}, {"s_id": "44998", "i_id": "36897"}, {"s_id": "74163", "i_id": "80759"}, {"s_id": "75046", "i_id": "16807"}, {"s_id": "97679", "i_id": "43779"}, {"s_id": "94894", "i_id": "78699"}, {"s_id": "44881", "i_id": "22591"}, {"s_id": "98619", "i_id": "77346"}, {"s_id": "86753", "i_id": "22591"}, {"s_id": "87054", "i_id": "35579"}, {"s_id": "39046", "i_id": "19368"}, {"s_id": "29031", "i_id": "78699"}, {"s_id": "97355", "i_id": "28400"}, {"s_id": "24010", "i_id": "80759"}, {"s_id": "21789", "i_id": "63395"}, {"s_id": "52157", "i_id": "65931"}, {"s_id": "64938", "i_id": "52647"}, {"s_id": "94535", "i_id": "50885"}, {"s_id": "58595", "i_id": "31955"}, {"s_id": "72979", "i_id": "41930"}, {"s_id": "32506", "i_id": "28097"}, {"s_id": "31690", "i_id": "14365"}, {"s_id": "87044", "i_id": "36897"}, {"s_id": "34236", "i_id": "57180"}, {"s_id": "18808", "i_id": "77346"}, {"s_id": "91063", "i_id": "52647"}, {"s_id": "48462", "i_id": "52647"}, {"s_id": "41965", "i_id": "65931"}, {"s_id": "31137", "i_id": "50330"}, {"s_id": "7602", "i_id": "63287"}, {"s_id": "84845", "i_id": "6569"}, {"s_id": "28252", "i_id": "90643"}, {"s_id": "10736", "i_id": "90643"}, {"s_id": "58465", "i_id": "59795"}, {"s_id": "64140", "i_id": "52647"}, {"s_id": "6523", "i_id": "43779"}, {"s_id": "64067", "i_id": "77346"}, {"s_id": "99399", "i_id": "4034"}, {"s_id": "21337", "i_id": "43779"}, {"s_id": "15457", "i_id": "95709"}, {"s_id": "26102", "i_id": "99052"}, {"s_id": "31337", "i_id": "50330"}, {"s_id": "67425", "i_id": "42782"}, {"s_id": "48640", "i_id": "3335"}, {"s_id": "72741", "i_id": "80759"}, {"s_id": "29803", "i_id": "3199"}, {"s_id": "38895", "i_id": "15347"}, {"s_id": "49391", "i_id": "16807"}, {"s_id": "13741", "i_id": "4034"}, {"s_id": "59538", "i_id": "42782"}, {"s_id": "9360", "i_id": "28097"}, {"s_id": "53728", "i_id": "57180"}, {"s_id": "77898", "i_id": "15347"}, {"s_id": "32419", "i_id": "95030"}, {"s_id": "37521", "i_id": "4034"}, {"s_id": "97065", "i_id": "79653"}], "instructor": [{"id": "63395", "name": "McKinnon", "dept_name": "Cybernetics", "salary": 94333.99}, {"id": "78699", "name": "Pingr", "dept_name": "Statistics", "salary": 59303.62}, {"id": "96895", "name": "Mird", "dept_name": "Marketing", "salary": 119921.41}, {"id": "4233", "name": "Luo", "dept_name": "English", "salary": 88791.45}, {"id": "4034", "name": "Murata", "dept_name": "Athletics", "salary": 61387.56}, {"id": "50885", "name": "Konstantinides", "dept_name": "Languages", "salary": 32570.5}, {"id": "79653", "name": "Levine", "dept_name": "Elec. Eng.", "salary": 89805.83}, {"id": "50330", "name": "Shuming", "dept_name": "Physics", "salary": 108011.81}, {"id": "80759", "name": "Queiroz", "dept_name": "Biology", "salary": 45538.32}, {"id": "73623", "name": "Sullivan", "dept_name": "Elec. Eng.", "salary": 90038.09}, {"id": "97302", "name": "Bertolino", "dept_name": "Mech. Eng.", "salary": 51647.57}, {"id": "57180", "name": "Hau", "dept_name": "Accounting", "salary": 43966.29}, {"id": "74420", "name": "Voronina", "dept_name": "Physics", "salary": 121141.99}, {"id": "35579", "name": "Soisalon-Soininen", "dept_name": "Psychology", "salary": 62579.61}, {"id": "31955", "name": "Moreira", "dept_name": "Accounting", "salary": 71351.42}, {"id": "37687", "name": "Arias", "dept_name": "Statistics", "salary": 104563.38}, {"id": "6569", "name": "Mingoz", "dept_name": "Finance", "salary": 105311.38}, {"id": "16807", "name": "Yazdi", "dept_name": "Athletics", "salary": 98333.65}, {"id": "14365", "name": "Lembr", "dept_name": "Accounting", "salary": 32241.56}, {"id": "90643", "name": "Choll", "dept_name": "Statistics", "salary": 57807.09}, {"id": "81991", "name": "Valtchev", "dept_name": "Biology", "salary": 77036.18}, {"id": "95030", "name": "Arinb", "dept_name": "Statistics", "salary": 54805.11}, {"id": "15347", "name": "Bawa", "dept_name": "Athletics", "salary": 72140.88}, {"id": "74426", "name": "Kenje", "dept_name": "Marketing", "salary": 106554.73}, {"id": "42782", "name": "Vicentino", "dept_name": "Elec. Eng.", "salary": 34272.67}, {"id": "58558", "name": "Dusserre", "dept_name": "Marketing", "salary": 66143.25}, {"id": "63287", "name": "Jaekel", "dept_name": "Athletics", "salary": 103146.87}, {"id": "59795", "name": "Desyl", "dept_name": "Languages", "salary": 48803.38}, {"id": "22591", "name": "DAgostino", "dept_name": "Psychology", "salary": 59706.49}, {"id": "48570", "name": "Sarkar", "dept_name": "Pol. Sci.", "salary": 87549.8}, {"id": "79081", "name": "Ullman ", "dept_name": "Accounting", "salary": 47307.1}, {"id": "52647", "name": "Bancilhon", "dept_name": "Pol. Sci.", "salary": 87958.01}, {"id": "25946", "name": "Liley", "dept_name": "Languages", "salary": 90891.69}, {"id": "36897", "name": "Morris", "dept_name": "Marketing", "salary": 43770.36}, {"id": "72553", "name": "Yin", "dept_name": "English", "salary": 46397.59}, {"id": "3199", "name": "Gustafsson", "dept_name": "Elec. Eng.", "salary": 82534.37}, {"id": "34175", "name": "Bondi", "dept_name": "Comp. Sci.", "salary": 115469.11}, {"id": "48507", "name": "Lent", "dept_name": "Mech. Eng.", "salary": 107978.47}, {"id": "65931", "name": "Pimenta", "dept_name": "Cybernetics", "salary": 79866.95}, {"id": "3335", "name": "Bourrier", "dept_name": "Comp. Sci.", "salary": 80797.83}, {"id": "64871", "name": "Gutierrez", "dept_name": "Statistics", "salary": 45310.53}, {"id": "95709", "name": "Sakurai", "dept_name": "English", "salary": 118143.98}, {"id": "43779", "name": "Romero", "dept_name": "Astronomy", "salary": 79070.08}, {"id": "77346", "name": "Mahmoud", "dept_name": "Geology", "salary": 99382.59}, {"id": "28097", "name": "Kean", "dept_name": "English", "salary": 35023.18}, {"id": "90376", "name": "Bietzk", "dept_name": "Cybernetics", "salary": 117836.5}, {"id": "28400", "name": "Atanassov", "dept_name": "Statistics", "salary": 84982.92}, {"id": "41930", "name": "Tung", "dept_name": "Athletics", "salary": 50482.03}, {"id": "19368", "name": "Wieland", "dept_name": "Pol. Sci.", "salary": 124651.41}, {"id": "99052", "name": "Dale", "dept_name": "Cybernetics", "salary": 93348.83}]}, "correct_code": "-- Load college_2__advisor data\nadvisor = load(\"advisor\")\n\nfiltered_advisor = advisor\n |> filter(s_id == \"64938\")\n\n-- Load lookup data\ninstructor = load(\"instructor\")\n |> select(id, dept_name, name)\n\nenriched = join(filtered_advisor, instructor, on: i_id == id)\n\nemit enriched", "buggy_code": "-- Load college_2__advisor data\nadvisor = load(\"advisor\")\n\nfiltered_advisor = advisor\n |> filter(s_id == \"6493\")\n\n-- Load lookup data\ninstructor = load(\"instructor\")\n |> select(id, dept_name, name)\n\nenriched = join(filtered_advisor, instructor, on: id == i_id)\n\nemit enriched", "expected_output": [{"s_id": "64938", "i_id": "52647", "id": "52647", "dept_name": "Pol. Sci.", "name": "Bancilhon"}], "bug_info": [{"category": "logic_bug", "description": "Wrong filter value: '64938' \u2192 '6493'", "line_num": 5, "original": "|> filter(s_id == \"64938\")", "mutated": "|> filter(s_id == \"6493\")"}, {"category": "join_bug", "description": "Swapped join keys: 'i_id == id' \u2192 'id == i_id'", "line_num": 11, "original": "enriched = join(filtered_advisor, instructor, on: i_id == id)", "mutated": "enriched = join(filtered_advisor, instructor, on: id == i_id)"}], "difficulty": "hard", "domain": "college_2__advisor", "num_nodes": 4, "has_join": true} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_medium | {"datasets": {"participants_in_events": [{"event_id": 3, "participant_id": 26}, {"event_id": 3, "participant_id": 66}, {"event_id": 8, "participant_id": 86}, {"event_id": 13, "participant_id": 64}, {"event_id": 13, "participant_id": 90}, {"event_id": 16, "participant_id": 60}, {"event_id": 17, "participant_id": 37}, {"event_id": 17, "participant_id": 66}, {"event_id": 38, "participant_id": 66}, {"event_id": 40, "participant_id": 37}, {"event_id": 40, "participant_id": 86}, {"event_id": 57, "participant_id": 90}, {"event_id": 60, "participant_id": 26}, {"event_id": 80, "participant_id": 36}, {"event_id": 80, "participant_id": 66}, {"event_id": 80, "participant_id": 96}, {"event_id": 95, "participant_id": 63}, {"event_id": 96, "participant_id": 90}], "participants": [{"participant_id": 9, "participant_type_code": "Organizer", "participant_details": "Karlee Batz"}, {"participant_id": 26, "participant_type_code": "Organizer", "participant_details": "Vilma Schinner"}, {"participant_id": 28, "participant_type_code": "Organizer", "participant_details": "Lupe Deckow"}, {"participant_id": 36, "participant_type_code": "Organizer", "participant_details": "Kenyatta Kuhn"}, {"participant_id": 37, "participant_type_code": "Participant", "participant_details": "Miss Kaci Lebsack"}, {"participant_id": 38, "participant_type_code": "Organizer", "participant_details": "Macy Mayer DDS"}, {"participant_id": 60, "participant_type_code": "Participant", "participant_details": "Dewitt Walter"}, {"participant_id": 63, "participant_type_code": "Participant", "participant_details": "Prof. Michelle Maggio Jr."}, {"participant_id": 64, "participant_type_code": "Participant", "participant_details": "Dr. Jaydon Renner"}, {"participant_id": 66, "participant_type_code": "Participant", "participant_details": "Justyn Lebsack"}, {"participant_id": 75, "participant_type_code": "Participant", "participant_details": "Berniece Weimann"}, {"participant_id": 86, "participant_type_code": "Organizer", "participant_details": "Neil Blick"}, {"participant_id": 90, "participant_type_code": "Participant", "participant_details": "Dedrick Ebert"}, {"participant_id": 96, "participant_type_code": "Organizer", "participant_details": "Miss Joyce Cremin"}, {"participant_id": 98, "participant_type_code": "Participant", "participant_details": "Dr. Kris Deckow"}]}, "correct_code": "-- Load local_govt_in_alabama__participants_in_events data\nparticipants_in_events = load(\"participants_in_events\")\n |> select(participant_id, event_id)\n\nresult = participants_in_events\n |> sort_by(event_id, desc)\n |> take(5)\n\nemit result", "buggy_code": "-- Load local_govt_in_alabama__participants_in_events data\nparticipants_in_events = load(\"participants_in_events\")\n |> select(participant_id, event_id)\n\nresult = participants_in_events\n |> sort_by(event_id, desc)\n |> take(7)\n\nemit result", "expected_output": [{"participant_id": 90, "event_id": 96}, {"participant_id": 63, "event_id": 95}, {"participant_id": 36, "event_id": 80}, {"participant_id": 66, "event_id": 80}, {"participant_id": 96, "event_id": 80}], "bug_info": [{"category": "logic_bug", "description": "Off-by-2 in take: 5 \u2192 7", "line_num": 7, "original": "|> take(5)", "mutated": "|> take(7)"}], "difficulty": "medium", "domain": "local_govt_in_alabama__participants_in_events", "num_nodes": 2, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_medium | {"datasets": {"company": [{"company_id": 1.0, "name": "ExxonMobil", "headquarters": "USA", "industry": "Oil and gas", "sales_in_billion": 433.5, "profits_in_billion": 41.1, "assets_in_billion": 331.1, "market_value_in_billion": 407.4}, {"company_id": 2.0, "name": "JPMorgan Chase", "headquarters": "USA", "industry": "Banking", "sales_in_billion": 110.8, "profits_in_billion": 19.0, "assets_in_billion": 2265.8, "market_value_in_billion": 170.1}, {"company_id": 3.0, "name": "General Electric", "headquarters": "USA", "industry": "Conglomerate", "sales_in_billion": 147.3, "profits_in_billion": 14.2, "assets_in_billion": 717.2, "market_value_in_billion": 213.7}, {"company_id": 4.0, "name": "Royal Dutch Shell", "headquarters": "Netherlands", "industry": "Oil and gas", "sales_in_billion": 470.2, "profits_in_billion": 30.9, "assets_in_billion": 340.5, "market_value_in_billion": 227.6}, {"company_id": 5.0, "name": "Industrial and Commercial Bank of China", "headquarters": "China", "industry": "Banking", "sales_in_billion": 82.6, "profits_in_billion": 25.1, "assets_in_billion": 2039.1, "market_value_in_billion": 237.4}, {"company_id": 6.0, "name": "HSBC", "headquarters": "UK", "industry": "Banking", "sales_in_billion": 102.0, "profits_in_billion": 16.2, "assets_in_billion": 2550.0, "market_value_in_billion": 164.3}, {"company_id": 7.0, "name": "PetroChina", "headquarters": "China", "industry": "Oil and gas", "sales_in_billion": 310.1, "profits_in_billion": 20.6, "assets_in_billion": 304.7, "market_value_in_billion": 294.7}, {"company_id": 8.0, "name": "Berkshire Hathaway", "headquarters": "USA", "industry": "Conglomerate", "sales_in_billion": 143.7, "profits_in_billion": 10.3, "assets_in_billion": 392.6, "market_value_in_billion": 202.2}, {"company_id": 9.0, "name": "Wells Fargo", "headquarters": "USA", "industry": "Banking", "sales_in_billion": 87.6, "profits_in_billion": 15.9, "assets_in_billion": 1313.9, "market_value_in_billion": 178.7}, {"company_id": 10.0, "name": "Petrobras", "headquarters": "Brazil", "industry": "Oil and gas", "sales_in_billion": 145.9, "profits_in_billion": 20.1, "assets_in_billion": 319.4, "market_value_in_billion": 180.0}, {"company_id": 11.0, "name": "BP", "headquarters": "UK", "industry": "Oil and gas", "sales_in_billion": 375.5, "profits_in_billion": 25.7, "assets_in_billion": 292.5, "market_value_in_billion": 147.4}, {"company_id": 12.0, "name": "Chevron", "headquarters": "USA", "industry": "Oil and gas", "sales_in_billion": 236.3, "profits_in_billion": 26.9, "assets_in_billion": 209.5, "market_value_in_billion": 218.0}, {"company_id": 13.0, "name": "China Construction Bank", "headquarters": "China", "industry": "Banking", "sales_in_billion": 68.7, "profits_in_billion": 20.5, "assets_in_billion": 1637.8, "market_value_in_billion": 201.9}, {"company_id": 14.0, "name": "Citigroup", "headquarters": "USA", "industry": "Banking", "sales_in_billion": 102.6, "profits_in_billion": 11.1, "assets_in_billion": 1873.9, "market_value_in_billion": 107.5}, {"company_id": 15.0, "name": "Gazprom", "headquarters": "Russia", "industry": "Oil and gas", "sales_in_billion": 117.6, "profits_in_billion": 31.7, "assets_in_billion": 302.6, "market_value_in_billion": 159.8}, {"company_id": 16.0, "name": "Walmart", "headquarters": "USA", "industry": "Retailing", "sales_in_billion": 447.0, "profits_in_billion": 15.7, "assets_in_billion": 193.4, "market_value_in_billion": 208.4}, {"company_id": 17.0, "name": "Volkswagen Group", "headquarters": "Germany", "industry": "Automotive", "sales_in_billion": 221.9, "profits_in_billion": 21.5, "assets_in_billion": 328.7, "market_value_in_billion": 79.5}, {"company_id": 18.0, "name": "Total", "headquarters": "France", "industry": "Oil and gas", "sales_in_billion": 216.2, "profits_in_billion": 15.9, "assets_in_billion": 213.0, "market_value_in_billion": 132.4}, {"company_id": 19.0, "name": "Agricultural Bank of China", "headquarters": "China", "industry": "Banking", "sales_in_billion": 62.4, "profits_in_billion": 14.4, "assets_in_billion": 1563.9, "market_value_in_billion": 154.8}], "employment": [{"company_id": 11, "people_id": 3, "year_working": 2}, {"company_id": 13, "people_id": 2, "year_working": 3}, {"company_id": 17, "people_id": 7, "year_working": 4}, {"company_id": 15, "people_id": 1, "year_working": 1}, {"company_id": 7, "people_id": 4, "year_working": 1}]}, "correct_code": "-- Load company_employee__company data\ncompany = load(\"company\")\n |> select(name, market_value_in_billion, company_id)\n\n-- Load lookup data\nemployment = load(\"employment\")\n |> select(company_id, people_id, year_working)\n\nenriched = join(company, employment, on: company_id == company_id)\n |> compute(computed_val: company_id - market_value_in_billion)\n\nresult = enriched\n |> sort_by(market_value_in_billion, asc)\n |> take(5)\n\nemit result", "buggy_code": "-- Load company_employee__company data\ncompany = load(\"company\")\n |> select(name, market_value_in_billion, company_id)\n\n-- Load lookup data\nemployment = load(\"employment\")\n |> select(company_id, people_id, year_working)\n\nenriched = join(company, employment, on: company_id == company_id)\n |> compute(computed_val: company_id - market_value_in_billion)\n\nresult = enriched\n |> sort_by(market_value_in_billion, desc)\n |> take(5)\n\nemit result", "expected_output": [{"name": "Volkswagen Group", "market_value_in_billion": 79.5, "company_id": 17, "people_id": 7, "year_working": 4, "computed_val": -62.5}, {"name": "BP", "market_value_in_billion": 147.4, "company_id": 11, "people_id": 3, "year_working": 2, "computed_val": -136.4}, {"name": "Gazprom", "market_value_in_billion": 159.8, "company_id": 15, "people_id": 1, "year_working": 1, "computed_val": -144.8}, {"name": "China Construction Bank", "market_value_in_billion": 201.9, "company_id": 13, "people_id": 2, "year_working": 3, "computed_val": -188.9}, {"name": "PetroChina", "market_value_in_billion": 294.7, "company_id": 7, "people_id": 4, "year_working": 1, "computed_val": -287.7}], "bug_info": [{"category": "wrong_arg", "description": "Wrong sort order: 'asc' \u2192 'desc'", "line_num": 13, "original": "|> sort_by(market_value_in_billion, asc)", "mutated": "|> sort_by(market_value_in_billion, desc)"}], "difficulty": "medium", "domain": "company_employee__company", "num_nodes": 4, "has_join": true} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_hard | {"datasets": {"transactions_lots": [{"transaction_id": 3, "lot_id": 11}, {"transaction_id": 3, "lot_id": 8}, {"transaction_id": 2, "lot_id": 11}, {"transaction_id": 3, "lot_id": 14}, {"transaction_id": 12, "lot_id": 10}, {"transaction_id": 15, "lot_id": 10}, {"transaction_id": 10, "lot_id": 10}, {"transaction_id": 1, "lot_id": 1}, {"transaction_id": 1, "lot_id": 14}, {"transaction_id": 3, "lot_id": 4}, {"transaction_id": 14, "lot_id": 9}, {"transaction_id": 7, "lot_id": 1}, {"transaction_id": 12, "lot_id": 15}, {"transaction_id": 6, "lot_id": 3}, {"transaction_id": 2, "lot_id": 1}], "lots": [{"lot_id": 1, "investor_id": 13, "lot_details": "r"}, {"lot_id": 2, "investor_id": 16, "lot_details": "z"}, {"lot_id": 3, "investor_id": 10, "lot_details": "s"}, {"lot_id": 4, "investor_id": 19, "lot_details": "s"}, {"lot_id": 5, "investor_id": 6, "lot_details": "q"}, {"lot_id": 6, "investor_id": 20, "lot_details": "d"}, {"lot_id": 7, "investor_id": 7, "lot_details": "m"}, {"lot_id": 8, "investor_id": 7, "lot_details": "h"}, {"lot_id": 9, "investor_id": 20, "lot_details": "z"}, {"lot_id": 10, "investor_id": 9, "lot_details": "x"}, {"lot_id": 11, "investor_id": 1, "lot_details": "d"}, {"lot_id": 12, "investor_id": 19, "lot_details": "m"}, {"lot_id": 13, "investor_id": 7, "lot_details": "z"}, {"lot_id": 14, "investor_id": 6, "lot_details": "d"}, {"lot_id": 15, "investor_id": 1, "lot_details": "h"}]}, "correct_code": "-- Load tracking_share_transactions__transactions_lots data\ntransactions_lots = load(\"transactions_lots\")\n |> select(lot_id, transaction_id)\n\nresult = transactions_lots\n |> sort_by(transaction_id, asc)\n |> take(10)\n\nemit result", "buggy_code": "-- Load tracking_share_transactions__transactions_lots data\ntransactions_lots = load(\"transactions_lots\")\n |> select(lot_id, lot_id)\n\nresult = transactions_lots\n |> sort_by(transaction_id, asc)\n |> take(10)\n\nemit result", "expected_output": [{"lot_id": 1, "transaction_id": 1}, {"lot_id": 14, "transaction_id": 1}, {"lot_id": 11, "transaction_id": 2}, {"lot_id": 1, "transaction_id": 2}, {"lot_id": 11, "transaction_id": 3}, {"lot_id": 8, "transaction_id": 3}, {"lot_id": 14, "transaction_id": 3}, {"lot_id": 4, "transaction_id": 3}, {"lot_id": 3, "transaction_id": 6}, {"lot_id": 1, "transaction_id": 7}], "bug_info": [{"category": "wrong_col", "description": "Wrong column reference: 'transaction_id' \u2192 'lot_id'", "line_num": 3, "original": "|> select(lot_id, transaction_id)", "mutated": "|> select(lot_id, lot_id)"}], "difficulty": "hard", "domain": "tracking_share_transactions__transactions_lots", "num_nodes": 2, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_hard | {"datasets": {"member_of": [{"facid": 7792, "dno": 600, "appt_type": "Primary"}, {"facid": 9210, "dno": 520, "appt_type": "Primary"}, {"facid": 9811, "dno": 550, "appt_type": "Primary"}, {"facid": 9643, "dno": 50, "appt_type": "Primary"}, {"facid": 9379, "dno": 520, "appt_type": "Primary"}, {"facid": 8918, "dno": 600, "appt_type": "Primary"}, {"facid": 7712, "dno": 600, "appt_type": "Primary"}, {"facid": 1121, "dno": 600, "appt_type": "Primary"}, {"facid": 9172, "dno": 600, "appt_type": "Primary"}, {"facid": 8423, "dno": 600, "appt_type": "Primary"}, {"facid": 1148, "dno": 600, "appt_type": "Primary"}, {"facid": 8741, "dno": 600, "appt_type": "Primary"}, {"facid": 3457, "dno": 600, "appt_type": "Primary"}, {"facid": 7723, "dno": 600, "appt_type": "Primary"}, {"facid": 8721, "dno": 600, "appt_type": "Primary"}, {"facid": 2192, "dno": 600, "appt_type": "Primary"}, {"facid": 8114, "dno": 600, "appt_type": "Primary"}, {"facid": 6112, "dno": 600, "appt_type": "Primary"}, {"facid": 9826, "dno": 600, "appt_type": "Primary"}, {"facid": 1193, "dno": 600, "appt_type": "Primary"}, {"facid": 1082, "dno": 600, "appt_type": "Primary"}, {"facid": 4230, "dno": 600, "appt_type": "Primary"}, {"facid": 8989, "dno": 600, "appt_type": "Secondary"}, {"facid": 7271, "dno": 600, "appt_type": "Secondary"}, {"facid": 8721, "dno": 520, "appt_type": "Secondary"}, {"facid": 8741, "dno": 50, "appt_type": "Secondary"}, {"facid": 7271, "dno": 50, "appt_type": "Secondary"}, {"facid": 6182, "dno": 550, "appt_type": "Primary"}, {"facid": 8772, "dno": 550, "appt_type": "Primary"}, {"facid": 2738, "dno": 550, "appt_type": "Primary"}, {"facid": 2881, "dno": 550, "appt_type": "Primary"}, {"facid": 9922, "dno": 550, "appt_type": "Primary"}, {"facid": 6541, "dno": 550, "appt_type": "Primary"}, {"facid": 8102, "dno": 550, "appt_type": "Primary"}, {"facid": 1177, "dno": 550, "appt_type": "Primary"}, {"facid": 9823, "dno": 550, "appt_type": "Primary"}, {"facid": 2311, "dno": 550, "appt_type": "Primary"}, {"facid": 2291, "dno": 550, "appt_type": "Primary"}, {"facid": 8122, "dno": 550, "appt_type": "Primary"}, {"facid": 8989, "dno": 50, "appt_type": "Primary"}, {"facid": 4432, "dno": 50, "appt_type": "Primary"}, {"facid": 5718, "dno": 50, "appt_type": "Primary"}, {"facid": 8791, "dno": 50, "appt_type": "Primary"}, {"facid": 9011, "dno": 50, "appt_type": "Primary"}, {"facid": 6910, "dno": 50, "appt_type": "Primary"}, {"facid": 8723, "dno": 520, "appt_type": "Primary"}, {"facid": 2028, "dno": 520, "appt_type": "Primary"}, {"facid": 8722, "dno": 520, "appt_type": "Primary"}, {"facid": 9191, "dno": 520, "appt_type": "Primary"}, {"facid": 1823, "dno": 520, "appt_type": "Primary"}, {"facid": 7134, "dno": 520, "appt_type": "Primary"}, {"facid": 9199, "dno": 520, "appt_type": "Primary"}, {"facid": 6925, "dno": 520, "appt_type": "Primary"}, {"facid": 7271, "dno": 520, "appt_type": "Primary"}, {"facid": 6191, "dno": 520, "appt_type": "Primary"}, {"facid": 2119, "dno": 520, "appt_type": "Primary"}, {"facid": 9514, "dno": 520, "appt_type": "Primary"}, {"facid": 7231, "dno": 520, "appt_type": "Primary"}, {"facid": 1172, "dno": 520, "appt_type": "Primary"}, {"facid": 8118, "dno": 520, "appt_type": "Primary"}, {"facid": 7506, "dno": 520, "appt_type": "Primary"}, {"facid": 6330, "dno": 520, "appt_type": "Primary"}, {"facid": 9824, "dno": 520, "appt_type": "Primary"}], "faculty": [{"facid": 1082, "lname": "Giuliano", "fname": "Mark", "rank": "Instructor", "sex": "M", "phone": 2424, "room": "224", "building": "NEB"}, {"facid": 1121, "lname": "Goodrich", "fname": "Michael", "rank": "Professor", "sex": "M", "phone": 3593, "room": "219", "building": "NEB"}, {"facid": 1148, "lname": "Masson", "fname": "Gerald", "rank": "Professor", "sex": "M", "phone": 3402, "room": "224B", "building": "NEB"}, {"facid": 1172, "lname": "Runolfsson", "fname": "Thordur", "rank": "AssocProf", "sex": "M", "phone": 3121, "room": "119", "building": "Barton"}, {"facid": 1177, "lname": "Naiman", "fname": "Daniel", "rank": "Professor", "sex": "M", "phone": 3571, "room": "288", "building": "Krieger"}, {"facid": 1193, "lname": "Jones", "fname": "Stacey", "rank": "Instructor", "sex": "F", "phone": 3550, "room": "224", "building": "NEB"}, {"facid": 1823, "lname": "Davidson", "fname": "Frederic", "rank": "Professor", "sex": "M", "phone": 5629, "room": "119", "building": "Barton"}, {"facid": 2028, "lname": "Brody", "fname": "William", "rank": "Professor", "sex": "M", "phone": 6073, "room": "119", "building": "Barton"}, {"facid": 2119, "lname": "Meyer", "fname": "Gerard", "rank": "Professor", "sex": "M", "phone": 6350, "room": "119", "building": "Barton"}, {"facid": 2192, "lname": "Yarowsky", "fname": "David", "rank": "AsstProf", "sex": "M", "phone": 6587, "room": "324", "building": "NEB"}, {"facid": 2291, "lname": "Scheinerman", "fname": "Edward", "rank": "Professor", "sex": "M", "phone": 6654, "room": "288", "building": "Krieger"}, {"facid": 2311, "lname": "Priebe", "fname": "Carey", "rank": "AsstProf", "sex": "M", "phone": 6953, "room": "288", "building": "Krieger"}, {"facid": 2738, "lname": "Fill", "fname": "James", "rank": "Professor", "sex": "M", "phone": 8209, "room": "288", "building": "Krieger"}, {"facid": 2881, "lname": "Goldman", "fname": "Alan", "rank": "Professor", "sex": "M", "phone": 8335, "room": "288", "building": "Krieger"}, {"facid": 3457, "lname": "Smith", "fname": "Scott", "rank": "AssocProf", "sex": "M", "phone": 1035, "room": "318", "building": "NEB"}, {"facid": 4230, "lname": "Houlahan", "fname": "Joanne", "rank": "Instructor", "sex": "F", "phone": 1260, "room": "328", "building": "NEB"}, {"facid": 4432, "lname": "Burzio", "fname": "Luigi", "rank": "Professor", "sex": "M", "phone": 1813, "room": "288", "building": "Krieger"}, {"facid": 5718, "lname": "Frank", "fname": "Robert", "rank": "AsstProf", "sex": "M", "phone": 1751, "room": "288", "building": "Krieger"}, {"facid": 6112, "lname": "Beach", "fname": "Louis", "rank": "Instructor", "sex": "M", "phone": 1838, "room": "207", "building": "NEB"}, {"facid": 6182, "lname": "Cheng", "fname": "Cheng", "rank": "AsstProf", "sex": "M", "phone": 1856, "room": "288", "building": "Krieger"}, {"facid": 6191, "lname": "Kaplan", "fname": "Alexander", "rank": "Professor", "sex": "M", "phone": 1825, "room": "119", "building": "Barton"}, {"facid": 6330, "lname": "Byrne", "fname": "William", "rank": "Instructor", "sex": "M", "phone": 1691, "room": "119", "building": "Barton"}, {"facid": 6541, "lname": "Han", "fname": "Shih-Ping", "rank": "Professor", "sex": "M", "phone": 1914, "room": "288", "building": "Krieger"}, {"facid": 6910, "lname": "Smolensky", "fname": "Paul", "rank": "Professor", "sex": "M", "phone": 2072, "room": "288", "building": "Krieger"}, {"facid": 6925, "lname": "Iglesias", "fname": "Pablo", "rank": "AsstProf", "sex": "M", "phone": 2021, "room": "119", "building": "Barton"}, {"facid": 7134, "lname": "Goutsias", "fname": "John", "rank": "Professor", "sex": "M", "phone": 2184, "room": "119", "building": "Barton"}, {"facid": 7231, "lname": "Rugh", "fname": "Wilson", "rank": "Professor", "sex": "M", "phone": 2191, "room": "119", "building": "Barton"}, {"facid": 7271, "lname": "Jelinek", "fname": "Frederick", "rank": "Professor", "sex": "M", "phone": 2890, "room": "119", "building": "Barton"}, {"facid": 7506, "lname": "Westgate", "fname": "Charles", "rank": "Professor", "sex": "M", "phone": 2932, "room": "119", "building": "Barton"}, {"facid": 7712, "lname": "Awerbuch", "fname": "Baruch", "rank": "Professor", "sex": "M", "phone": 2105, "room": "220", "building": "NEB"}, {"facid": 7723, "lname": "Taylor", "fname": "Russell", "rank": "Professor", "sex": "M", "phone": 2435, "room": "317", "building": "NEB"}, {"facid": 7792, "lname": "Brill", "fname": "Eric", "rank": "AsstProf", "sex": "M", "phone": 2303, "room": "324B", "building": "NEB"}, {"facid": 8102, "lname": "James", "fname": "Lancelot", "rank": "AsstProf", "sex": "M", "phone": 2792, "room": "288", "building": "Krieger"}, {"facid": 8114, "lname": "Angelopoulou", "fname": "Ellie", "rank": "Instructor", "sex": "F", "phone": 2152, "room": "316", "building": "NEB"}, {"facid": 8118, "lname": "Weinert", "fname": "Howard", "rank": "Professor", "sex": "M", "phone": 3272, "room": "119", "building": "Barton"}, {"facid": 8122, "lname": "Wierman", "fname": "John", "rank": "Professor", "sex": "M", "phone": 3392, "room": "288", "building": "Krieger"}, {"facid": 8423, "lname": "Kumar", "fname": "Subodh", "rank": "AsstProf", "sex": "M", "phone": 2522, "room": "218", "building": "NEB"}, {"facid": 8721, "lname": "Wolff", "fname": "Lawrence", "rank": "AssocProf", "sex": "M", "phone": 2342, "room": "316", "building": "NEB"}, {"facid": 8722, "lname": "Cauwenberghs", "fname": "Gert", "rank": "AsstProf", "sex": "M", "phone": 1372, "room": "119", "building": "Barton"}, {"facid": 8723, "lname": "Andreou", "fname": "Andreas", "rank": "Professor", "sex": "M", "phone": 1402, "room": "119", "building": "Barton"}, {"facid": 8741, "lname": "Salzberg", "fname": "Steven", "rank": "AssocProf", "sex": "M", "phone": 2641, "room": "324A", "building": "NEB"}, {"facid": 8772, "lname": "Cowen", "fname": "Lenore", "rank": "AsstProf", "sex": "F", "phone": 2870, "room": "288", "building": "Krieger"}, {"facid": 8791, "lname": "McCloskey", "fname": "Michael", "rank": "Professor", "sex": "M", "phone": 3440, "room": "288", "building": "Krieger"}, {"facid": 8918, "lname": "Amir", "fname": "Yair", "rank": "AsstProf", "sex": "M", "phone": 2672, "room": "308", "building": "NEB"}, {"facid": 8989, "lname": "Brent", "fname": "Michael", "rank": "AsstProf", "sex": "M", "phone": 9373, "room": "288", "building": "Krieger"}, {"facid": 9011, "lname": "Rapp", "fname": "Brenda", "rank": "AsstProf", "sex": "F", "phone": 2032, "room": "288", "building": "Krieger"}, {"facid": 9172, "lname": "Kosaraju", "fname": "Rao", "rank": "Professor", "sex": "M", "phone": 2757, "room": "319", "building": "NEB"}, {"facid": 9191, "lname": "Collins", "fname": "Oliver", "rank": "AssocProf", "sex": "M", "phone": 5427, "room": "119", "building": "Barton"}, {"facid": 9199, "lname": "Hughes", "fname": "Brian", "rank": "AssocProf", "sex": "M", "phone": 5666, "room": "119", "building": "Barton"}, {"facid": 9210, "lname": "Joseph", "fname": "Richard", "rank": "Professor", "sex": "M", "phone": 5996, "room": "119", "building": "Barton"}, {"facid": 9379, "lname": "Khurgin", "fname": "Jacob", "rank": "Professor", "sex": "M", "phone": 1060, "room": "119", "building": "Barton"}, {"facid": 9514, "lname": "Prince", "fname": "Jerry", "rank": "AssocProf", "sex": "M", "phone": 5106, "room": "119", "building": "Barton"}, {"facid": 9643, "lname": "Legendre", "fname": "Geraldine", "rank": "AssocProf", "sex": "F", "phone": 8972, "room": "288", "building": "Krieger"}, {"facid": 9811, "lname": "Wu", "fname": "Colin", "rank": "AsstProf", "sex": "M", "phone": 2906, "room": "288", "building": "Krieger"}, {"facid": 9823, "lname": "Pang", "fname": "Jong-Shi", "rank": "Professor", "sex": "M", "phone": 4366, "room": "288", "building": "Krieger"}, {"facid": 9824, "lname": "Glaser", "fname": "Robert", "rank": "Instructor", "sex": "M", "phone": 4396, "room": "119", "building": "Barton"}, {"facid": 9826, "lname": "Delcher", "fname": "Arthur", "rank": "Instructor", "sex": "M", "phone": 2956, "room": "329", "building": "NEB"}, {"facid": 9922, "lname": "Hall", "fname": "Leslie", "rank": "AsstProf", "sex": "F", "phone": 7332, "room": "288", "building": "Krieger"}]}, "correct_code": "-- Load college_3__member_of data\nmember_of = load(\"member_of\")\n\nfiltered_member_of = member_of\n |> filter(appt_type == \"Primary\")\n |> filter(facid <= 5244)\n\nsummary = filtered_member_of\n |> group_by(appt_type)\n |> aggregate(max_facid: max(facid), count: count())\n |> compute(computed_val: count - max_facid)\n\nresult = summary\n |> sort_by(count, desc)\n |> take(3)\n\nemit result", "buggy_code": "-- Load college_3__member_of data\nmember_of = load(\"member_of\")\n\nfiltered_member_of = member_of\n |> filter(Primary == \"Primary\")\n |> filter(facid <= 5244)\n\nsummary = filtered_member_of\n |> group_by(appt_type)\n |> aggregate(max_facid: max(facid), count: count())\n |> compute(computed_val: count - max_facid)\n\nresult = summary\n |> sort_by(count, desc)\n |> take(3)\n\nemit result", "expected_output": [{"appt_type": "Primary", "max_facid": 4432, "count": 17, "computed_val": -4415}], "bug_info": [{"category": "wrong_col", "description": "Wrong column reference: 'appt_type' \u2192 'Primary'", "line_num": 5, "original": "|> filter(appt_type == \"Primary\")", "mutated": "|> filter(Primary == \"Primary\")"}], "difficulty": "hard", "domain": "college_3__member_of", "num_nodes": 4, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_hard | {"datasets": {"transactions": [{"transaction_id": 1, "investor_id": 6, "transaction_type_code": "SALE", "date_of_transaction": "1988-09-16 19:02:51", "amount_of_transaction": 302507.6996, "share_count": "8718572", "other_details": 0}, {"transaction_id": 2, "investor_id": 18, "transaction_type_code": "PUR", "date_of_transaction": "1982-06-06 17:19:00", "amount_of_transaction": 27.257, "share_count": "9", "other_details": 0}, {"transaction_id": 3, "investor_id": 2, "transaction_type_code": "SALE", "date_of_transaction": "1979-04-27 06:03:59", "amount_of_transaction": 48777.969, "share_count": "8580", "other_details": 0}, {"transaction_id": 4, "investor_id": 14, "transaction_type_code": "PUR", "date_of_transaction": "2001-11-28 15:06:25", "amount_of_transaction": 4.5263, "share_count": "8040", "other_details": 0}, {"transaction_id": 5, "investor_id": 8, "transaction_type_code": "PUR", "date_of_transaction": "1977-08-17 13:13:30", "amount_of_transaction": 0, "share_count": "930", "other_details": 0}, {"transaction_id": 6, "investor_id": 19, "transaction_type_code": "PUR", "date_of_transaction": "1985-10-08 13:13:39", "amount_of_transaction": 207484122.2796, "share_count": "2751", "other_details": 0}, {"transaction_id": 7, "investor_id": 7, "transaction_type_code": "PUR", "date_of_transaction": "1990-12-02 09:03:38", "amount_of_transaction": 822.803, "share_count": "1522", "other_details": 0}, {"transaction_id": 8, "investor_id": 17, "transaction_type_code": "SALE", "date_of_transaction": "2004-01-18 20:37:50", "amount_of_transaction": 78035671.4424, "share_count": "96178", "other_details": 0}, {"transaction_id": 9, "investor_id": 20, "transaction_type_code": "PUR", "date_of_transaction": "1977-08-13 02:18:47", "amount_of_transaction": 82057.207, "share_count": "", "other_details": 0}, {"transaction_id": 10, "investor_id": 2, "transaction_type_code": "SALE", "date_of_transaction": "1981-01-28 08:07:03", "amount_of_transaction": 29.3534, "share_count": "1654756", "other_details": 0}, {"transaction_id": 11, "investor_id": 3, "transaction_type_code": "SALE", "date_of_transaction": "2000-04-03 20:55:43", "amount_of_transaction": 0, "share_count": "674529892", "other_details": 0}, {"transaction_id": 12, "investor_id": 18, "transaction_type_code": "SALE", "date_of_transaction": "1983-11-01 17:57:27", "amount_of_transaction": 1, "share_count": "587", "other_details": 0}, {"transaction_id": 13, "investor_id": 3, "transaction_type_code": "SALE", "date_of_transaction": "2002-04-07 20:28:37", "amount_of_transaction": 183.2, "share_count": "", "other_details": 0}, {"transaction_id": 14, "investor_id": 3, "transaction_type_code": "PUR", "date_of_transaction": "2002-09-13 03:04:56", "amount_of_transaction": 0, "share_count": "630021", "other_details": 0}, {"transaction_id": 15, "investor_id": 19, "transaction_type_code": "PUR", "date_of_transaction": "1997-12-30 05:05:40", "amount_of_transaction": 8.9, "share_count": "93191", "other_details": 0}], "ref_transaction_types": [{"transaction_type_code": "SALE", "transaction_type_description": "Sale"}, {"transaction_type_code": "PUR", "transaction_type_description": "Purchase"}]}, "correct_code": "-- Load tracking_share_transactions__transactions data\ntransactions = load(\"transactions\")\n\nfiltered_transactions = transactions\n |> filter(date_of_transaction == \"1979-04-27 06:03:59\")\n\nsummary = filtered_transactions\n |> group_by(transaction_type_code)\n |> aggregate(min_investor_id: min(investor_id), count: count())\n\n-- Load lookup data\nref_transaction_types = load(\"ref_transaction_types\")\n\nenriched = join(summary, ref_transaction_types, on: transaction_type_code == transaction_type_code)\n\nresult = enriched\n |> sort_by(count, desc)\n |> take(5)\n\nemit result", "buggy_code": "-- Load tracking_share_transactions__transactions data\ntransactions = load(\"transactions\")\n\nfiltered_transactions = transactions\n |> filter(date_of_transaction == \"1979-04-27 06:03:59\")\n\nsummary = filtered_transactions\n |> group_by(transaction_type_code)\n |> aggregate(min_investor_id: min(investor_id), count: count())\n\n-- Load lookup data\nref_transaction_types = load(\"ref_transaction_types\")\n\nenriched = join(summary, ref_transaction_types, on: tracking_share_transactions__transactions == transaction_type_code)\n\nresult = enriched\n |> sort_by(count, desc)\n |> take(5)\n\nemit result", "expected_output": [{"transaction_type_code": "SALE", "min_investor_id": 2, "count": 1, "transaction_type_description": "Sale"}], "bug_info": [{"category": "join_bug", "description": "Swapped join keys: 'transaction_type_code == transaction_type_code' \u2192 'transaction_type_code == transaction_type_code'", "line_num": 14, "original": "enriched = join(summary, ref_transaction_types, on: transaction_type_code == transaction_type_code)", "mutated": "enriched = join(summary, ref_transaction_types, on: transaction_type_code == transaction_type_code)"}, {"category": "join_bug", "description": "Wrong join key: 'transaction_type_code' \u2192 'tracking_share_transactions__transactions'", "line_num": 14, "original": "enriched = join(summary, ref_transaction_types, on: transaction_type_code == transaction_type_code)", "mutated": "enriched = join(summary, ref_transaction_types, on: tracking_share_transactions__transactions == transaction_type_code)"}], "difficulty": "hard", "domain": "tracking_share_transactions__transactions", "num_nodes": 6, "has_join": true} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_medium | {"datasets": {"participants_in_events": [{"event_id": 3, "participant_id": 26}, {"event_id": 3, "participant_id": 66}, {"event_id": 8, "participant_id": 86}, {"event_id": 13, "participant_id": 64}, {"event_id": 13, "participant_id": 90}, {"event_id": 16, "participant_id": 60}, {"event_id": 17, "participant_id": 37}, {"event_id": 17, "participant_id": 66}, {"event_id": 38, "participant_id": 66}, {"event_id": 40, "participant_id": 37}, {"event_id": 40, "participant_id": 86}, {"event_id": 57, "participant_id": 90}, {"event_id": 60, "participant_id": 26}, {"event_id": 80, "participant_id": 36}, {"event_id": 80, "participant_id": 66}, {"event_id": 80, "participant_id": 96}, {"event_id": 95, "participant_id": 63}, {"event_id": 96, "participant_id": 90}], "participants": [{"participant_id": 9, "participant_type_code": "Organizer", "participant_details": "Karlee Batz"}, {"participant_id": 26, "participant_type_code": "Organizer", "participant_details": "Vilma Schinner"}, {"participant_id": 28, "participant_type_code": "Organizer", "participant_details": "Lupe Deckow"}, {"participant_id": 36, "participant_type_code": "Organizer", "participant_details": "Kenyatta Kuhn"}, {"participant_id": 37, "participant_type_code": "Participant", "participant_details": "Miss Kaci Lebsack"}, {"participant_id": 38, "participant_type_code": "Organizer", "participant_details": "Macy Mayer DDS"}, {"participant_id": 60, "participant_type_code": "Participant", "participant_details": "Dewitt Walter"}, {"participant_id": 63, "participant_type_code": "Participant", "participant_details": "Prof. Michelle Maggio Jr."}, {"participant_id": 64, "participant_type_code": "Participant", "participant_details": "Dr. Jaydon Renner"}, {"participant_id": 66, "participant_type_code": "Participant", "participant_details": "Justyn Lebsack"}, {"participant_id": 75, "participant_type_code": "Participant", "participant_details": "Berniece Weimann"}, {"participant_id": 86, "participant_type_code": "Organizer", "participant_details": "Neil Blick"}, {"participant_id": 90, "participant_type_code": "Participant", "participant_details": "Dedrick Ebert"}, {"participant_id": 96, "participant_type_code": "Organizer", "participant_details": "Miss Joyce Cremin"}, {"participant_id": 98, "participant_type_code": "Participant", "participant_details": "Dr. Kris Deckow"}]}, "correct_code": "-- Load local_govt_in_alabama__participants_in_events data\nparticipants_in_events = load(\"participants_in_events\")\n\nfiltered_participants_in_events = participants_in_events\n |> filter(participant_id > 33)\n |> compute(computed_val: participant_id - event_id)\n\nresult = filtered_participants_in_events\n |> sort_by(event_id, asc)\n |> take(5)\n\nemit result", "buggy_code": "-- Load local_govt_in_alabama__participants_in_events data\nparticipants_in_events = load(\"participants_in_events\")\n\nfiltered_participants_in_events = participants_in_events\n |> filter(participant_id > participant_id)\n |> compute(computed_val: participant_id - event_id)\n\nresult = filtered_participants_in_events\n |> sort_by(event_id, asc)\n |> take(5)\n\nemit result", "expected_output": [{"event_id": 3, "participant_id": 66, "computed_val": 63}, {"event_id": 8, "participant_id": 86, "computed_val": 78}, {"event_id": 13, "participant_id": 64, "computed_val": 51}, {"event_id": 13, "participant_id": 90, "computed_val": 77}, {"event_id": 16, "participant_id": 60, "computed_val": 44}], "bug_info": [{"category": "wrong_col", "description": "Wrong column reference: '33' \u2192 'participant_id'", "line_num": 5, "original": "|> filter(participant_id > 33)", "mutated": "|> filter(participant_id > participant_id)"}], "difficulty": "medium", "domain": "local_govt_in_alabama__participants_in_events", "num_nodes": 3, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_medium | {"datasets": {"course": [{"cid": "600.101", "cname": "COMPUTER LITERACY", "credits": 3, "instructor": 6112, "days": "MTW", "hours": "3", "dno": 600}, {"cid": "600.103", "cname": "INTRODUCTION TO COMPUTER SCIENCE", "credits": 1, "instructor": 4230, "days": "Th", "hours": "4", "dno": 600}, {"cid": "600.107", "cname": "INTRO TO PROGRAMMING IN JAVA", "credits": 3, "instructor": 1193, "days": "MTW", "hours": "3", "dno": 600}, {"cid": "600.109", "cname": "INTRO TO PROGRAMMING IN C/C++", "credits": 3, "instructor": 4230, "days": "MTW", "hours": "12", "dno": 600}, {"cid": "600.113", "cname": "EXPLORING THE INTERNET", "credits": 3, "instructor": 6112, "days": "MTW", "hours": "4", "dno": 600}, {"cid": "600.121", "cname": "JAVA PROGRAMMING", "credits": 3, "instructor": 6112, "days": "ThF", "hours": "10:30-12", "dno": 600}, {"cid": "600.211", "cname": "UNIX SYSTEMS PROGRAMMING", "credits": 3, "instructor": 6112, "days": "ThF", "hours": "1-2:15", "dno": 600}, {"cid": "600.227", "cname": "DATA STRUCTURES in JAVA", "credits": 3, "instructor": 1121, "days": "MTW", "hours": "9", "dno": 600}, {"cid": "600.232", "cname": "MULTIMEDIA COMPUTING", "credits": 3, "instructor": 9826, "days": "MW", "hours": "1-2:30", "dno": 600}, {"cid": "600.271", "cname": "COMPUTATIONAL MODELS", "credits": 3, "instructor": 9172, "days": "MTW", "hours": "1", "dno": 600}, {"cid": "600.303", "cname": "SUPERCOMPUTING", "credits": 1, "instructor": 9826, "days": "W", "hours": "4-6:20", "dno": 600}, {"cid": "600.315", "cname": "DATABASE SYSTEMS", "credits": 3, "instructor": 2192, "days": "ThF", "hours": "2:30-4", "dno": 600}, {"cid": "600.333", "cname": "COMPUTER SYSTEM FUNDAMENTALS", "credits": 3, "instructor": 1148, "days": "MTW", "hours": "8", "dno": 600}, {"cid": "600.337", "cname": "DISTRIBUTED SYSTEMS", "credits": 3, "instructor": 8918, "days": "M", "hours": "3", "dno": 600}, {"cid": "600.363", "cname": "INTRODUCTION TO ALGORITHMS", "credits": 3, "instructor": 7712, "days": "MTW", "hours": "9", "dno": 600}, {"cid": "600.415", "cname": "DATABASE SYSTEMS", "credits": 3, "instructor": 2192, "days": "ThF", "hours": "2:30-4", "dno": 600}, {"cid": "600.433", "cname": "COMPUTER SYSTEMS", "credits": 3, "instructor": 1148, "days": "MTW", "hours": "8", "dno": 600}, {"cid": "600.437", "cname": "DISTRIBUTED SYSTEMS", "credits": 3, "instructor": 8918, "days": "M", "hours": "3", "dno": 600}, {"cid": "600.445", "cname": "QUANTITATIVE MEDICAL COMPUTING", "credits": 3, "instructor": 7723, "days": "ThF", "hours": "1-2:15", "dno": 600}, {"cid": "600.461", "cname": "COMPUTER VISION", "credits": 3, "instructor": 8114, "days": "MTW", "hours": "1", "dno": 600}, {"cid": "600.463", "cname": "ALGORITHMS I", "credits": 3, "instructor": 7712, "days": "MTW", "hours": "9", "dno": 600}, {"cid": "600.465", "cname": "INTRO TO NATURAL LANGUAGE PROCESSING", "credits": 3, "instructor": 7792, "days": "MTW", "hours": "2", "dno": 600}, {"cid": "600.509", "cname": "COMPUTER SCIENCE INTERNSHIP", "credits": 3, "instructor": 1121, "days": "M", "hours": "1", "dno": 600}, {"cid": "600.601", "cname": "COMPUTER SCIENCE SEMINAR", "credits": 1, "instructor": 6191, "days": "ThF", "hours": "10:30-12", "dno": 600}, {"cid": "600.657", "cname": "HIGH PERFORMANCE GRAPHICS AND MODELING", "credits": 3, "instructor": 8423, "days": "M", "hours": "4-5:30", "dno": 600}, {"cid": "600.787", "cname": "SEMINAR ON COMPUTATIONAL GEOMETRY", "credits": 3, "instructor": 1121, "days": "Th", "hours": "2", "dno": 600}, {"cid": "550.111", "cname": "STATISTICAL ANALYSIS", "credits": 4, "instructor": 2311, "days": "MTW", "hours": "12", "dno": 550}, {"cid": "550.171", "cname": "DISCRETE MATHEMATICS", "credits": 4, "instructor": 8772, "days": "MTW", "hours": "11", "dno": 550}, {"cid": "500.203", "cname": "ACCOUNTING I", "credits": 3, "instructor": 9823, "days": "T", "hours": "6:15-8:45", "dno": 550}, {"cid": 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"building": "Barton"}, {"facid": 8122, "lname": "Wierman", "fname": "John", "rank": "Professor", "sex": "M", "phone": 3392, "room": "288", "building": "Krieger"}, {"facid": 8423, "lname": "Kumar", "fname": "Subodh", "rank": "AsstProf", "sex": "M", "phone": 2522, "room": "218", "building": "NEB"}, {"facid": 8721, "lname": "Wolff", "fname": "Lawrence", "rank": "AssocProf", "sex": "M", "phone": 2342, "room": "316", "building": "NEB"}, {"facid": 8722, "lname": "Cauwenberghs", "fname": "Gert", "rank": "AsstProf", "sex": "M", "phone": 1372, "room": "119", "building": "Barton"}, {"facid": 8723, "lname": "Andreou", "fname": "Andreas", "rank": "Professor", "sex": "M", "phone": 1402, "room": "119", "building": "Barton"}, {"facid": 8741, "lname": "Salzberg", "fname": "Steven", "rank": "AssocProf", "sex": "M", "phone": 2641, "room": "324A", "building": "NEB"}, {"facid": 8772, "lname": "Cowen", "fname": "Lenore", "rank": "AsstProf", "sex": "F", "phone": 2870, "room": "288", "building": "Krieger"}, {"facid": 8791, "lname": "McCloskey", "fname": "Michael", "rank": "Professor", "sex": "M", "phone": 3440, "room": "288", "building": "Krieger"}, {"facid": 8918, "lname": "Amir", "fname": "Yair", "rank": "AsstProf", "sex": "M", "phone": 2672, "room": "308", "building": "NEB"}, {"facid": 8989, "lname": "Brent", "fname": "Michael", "rank": "AsstProf", "sex": "M", "phone": 9373, "room": "288", "building": "Krieger"}, {"facid": 9011, "lname": "Rapp", "fname": "Brenda", "rank": "AsstProf", "sex": "F", "phone": 2032, "room": "288", "building": "Krieger"}, {"facid": 9172, "lname": "Kosaraju", "fname": "Rao", "rank": "Professor", "sex": "M", "phone": 2757, "room": "319", "building": "NEB"}, {"facid": 9191, "lname": "Collins", "fname": "Oliver", "rank": "AssocProf", "sex": "M", "phone": 5427, "room": "119", "building": "Barton"}, {"facid": 9199, "lname": "Hughes", "fname": "Brian", "rank": "AssocProf", "sex": "M", "phone": 5666, "room": "119", "building": "Barton"}, {"facid": 9210, "lname": "Joseph", "fname": "Richard", "rank": "Professor", "sex": "M", "phone": 5996, "room": "119", "building": "Barton"}, {"facid": 9379, "lname": "Khurgin", "fname": "Jacob", "rank": "Professor", "sex": "M", "phone": 1060, "room": "119", "building": "Barton"}, {"facid": 9514, "lname": "Prince", "fname": "Jerry", "rank": "AssocProf", "sex": "M", "phone": 5106, "room": "119", "building": "Barton"}, {"facid": 9643, "lname": "Legendre", "fname": "Geraldine", "rank": "AssocProf", "sex": "F", "phone": 8972, "room": "288", "building": "Krieger"}, {"facid": 9811, "lname": "Wu", "fname": "Colin", "rank": "AsstProf", "sex": "M", "phone": 2906, "room": "288", "building": "Krieger"}, {"facid": 9823, "lname": "Pang", "fname": "Jong-Shi", "rank": "Professor", "sex": "M", "phone": 4366, "room": "288", "building": "Krieger"}, {"facid": 9824, "lname": "Glaser", "fname": "Robert", "rank": "Instructor", "sex": "M", "phone": 4396, "room": "119", "building": "Barton"}, {"facid": 9826, "lname": "Delcher", "fname": "Arthur", "rank": "Instructor", "sex": "M", "phone": 2956, "room": "329", "building": "NEB"}, {"facid": 9922, "lname": "Hall", "fname": "Leslie", "rank": "AsstProf", "sex": "F", "phone": 7332, "room": "288", "building": "Krieger"}]}, "correct_code": "-- Load college_3__course data\ncourse = load(\"course\")\n\nfiltered_course = course\n |> filter(cname == \"JAVA PROGRAMMING\")\n\nsummary = filtered_course\n |> group_by(cname)\n |> aggregate(max_instructor: max(instructor), count: count())\n |> compute(computed_val: max_instructor - count)\n\nresult = summary\n |> sort_by(count, desc)\n |> take(5)\n\nemit result", "buggy_code": "-- Load college_3__course data\ncourse = load(\"course\")\n\nfiltered_course = course\n |> filter(cname == \"JAVA PROGRAMMING\")\n\nsummary = filtered_course\n |> group_by(cname)\n |> aggregate(max_instructor: count(instructor), count: count())\n |> compute(computed_val: max_instructor - count)\n\nresult = summary\n |> sort_by(count, desc)\n |> take(5)\n\nemit result", "expected_output": [{"cname": "JAVA PROGRAMMING", "max_instructor": 6112, "count": 1, "computed_val": 6111}], "bug_info": [{"category": "wrong_arg", "description": "Wrong aggregate function: 'max' \u2192 'count'", "line_num": 9, "original": "|> aggregate(max_instructor: max(instructor), count: count())", "mutated": "|> aggregate(max_instructor: count(instructor), count: count())"}], "difficulty": "medium", "domain": "college_3__course", "num_nodes": 4, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_hard | {"datasets": {"player": [{"player_id": 1, "name": "Michael Platt", "position": "Full Back", "club_id": 1, "apps": 20.0, "tries": 5.0, "goals": "0", "points": 20.0}, {"player_id": 2, "name": "Dave Halley", "position": "Right Wing", "club_id": 2, "apps": 23.0, "tries": 9.0, "goals": "0", "points": 36.0}, {"player_id": 3, "name": "James Evans", "position": "Right Centre", "club_id": 1, "apps": 30.0, "tries": 9.0, "goals": "0", "points": 36.0}, {"player_id": 4, "name": "Tame Tupou", "position": "Left Wing", "club_id": 2, "apps": 10.0, "tries": 3.0, "goals": "0", "points": 12.0}, {"player_id": 5, "name": "Iestyn Harris", "position": "Stand Off", "club_id": 4, "apps": 27.0, "tries": 3.0, "goals": "50/60", "points": 110.0}, {"player_id": 6, "name": "Paul Deacon (c)", "position": "Scrum Half", "club_id": 4, "apps": 20.0, "tries": 3.0, "goals": "90/106", "points": 188.0}, {"player_id": 7, "name": "Joe Vagana", "position": "Prop", "club_id": 5, "apps": 19.0, "tries": 1.0, "goals": "0/1", "points": 4.0}, {"player_id": 8, "name": "Terry Newton", "position": "Hooker", "club_id": 5, "apps": 26.0, "tries": 9.0, "goals": "0", "points": 36.0}, {"player_id": 9, "name": "Andy Lynch", "position": "Prop", "club_id": 2, "apps": 29.0, "tries": 5.0, "goals": "0", "points": 20.0}, {"player_id": 10, "name": "David Solomona", "position": "Second Row", "club_id": 2, "apps": 24.0, "tries": 5.0, "goals": "0", "points": 20.0}, {"player_id": 11, "name": "Glenn Morrison (vc)", "position": "Second Row", "club_id": 2, "apps": 14.0, "tries": 6.0, "goals": "0", "points": 24.0}, {"player_id": 12, "name": "Jamie Langley (vc)", "position": "Loose Forward", "club_id": 2, "apps": 28.0, "tries": 2.0, "goals": "0", "points": 8.0}, {"player_id": 13, "name": "Chris Feather", "position": "Prop", "club_id": 3, "apps": 13.0, "tries": 1.0, "goals": "0", "points": 4.0}, {"player_id": 14, "name": "Matt Cook", "position": "Second Row", "club_id": 4, "apps": 17.0, "tries": 4.0, "goals": "0", "points": 16.0}, {"player_id": 15, "name": "Sam Burgess", "position": "Loose Forward", "club_id": 4, "apps": 23.0, "tries": 8.0, "goals": "0", "points": 32.0}], "club": [{"club_id": 1, "name": "AIB", "region": "USA", "start_year": "2009"}, {"club_id": 2, "name": "BK Slide", "region": "UK", "start_year": "1998"}, {"club_id": 3, "name": "IFG", "region": "China", "start_year": "2005"}, {"club_id": 4, "name": "ASC", "region": "Japan", "start_year": "2001"}, {"club_id": 5, "name": "HGS2", "region": "England", "start_year": "2000"}, {"club_id": 6, "name": "HSBIF", "region": "Brazil", "start_year": "2011"}]}, "correct_code": "-- Load sports_competition__player data\nplayer = load(\"player\")\n\nfiltered_player = player\n |> filter(apps > 11)\n |> select(name, points, player_id, club_id)\n |> compute(computed_val: player_id - points)\n\nresult = filtered_player\n |> sort_by(points, asc)\n |> take(3)\n\nemit result", "buggy_code": "-- Load sports_competition__player data\nplayer = load(\"player\")\n\nfiltered_player = player\n |> filter(apps > 11)\n |> select(name, points, player_id, club_id)\n |> compute(computed_val: player_id - points)\n\nresult = filtered_player\n |> sort_by(apps, asc)\n |> take(3)\n\nemit result", "expected_output": [{"name": "Joe Vagana", "points": 4.0, "player_id": 7, "club_id": 5, "computed_val": 3.0}, {"name": "Chris Feather", "points": 4.0, "player_id": 13, "club_id": 3, "computed_val": 9.0}, {"name": "Jamie Langley (vc)", "points": 8.0, "player_id": 12, "club_id": 2, "computed_val": 4.0}], "bug_info": [{"category": "wrong_col", "description": "Wrong column reference: 'points' \u2192 'apps'", "line_num": 10, "original": "|> sort_by(points, asc)", "mutated": "|> sort_by(apps, asc)"}], "difficulty": "hard", "domain": "sports_competition__player", "num_nodes": 3, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_easy | {"datasets": {"wine": [{"no": 1, "grape": "Zinfandel", "winery": "Robert Biale", "appelation": "St. Helena", "state": "California", "name": "Old Kraft Vineyard", "year": 2008, "price": 44, "score": 93, "cases": 275, "drink": "now"}, {"no": 2, "grape": "Zinfandel", "winery": "Chiarello Family", "appelation": "Napa Valley", "state": "California", "name": "Giana", "year": 2008, "price": 35, "score": 93, "cases": 480, "drink": "now"}, {"no": 3, "grape": "Zinfandel", "winery": "Robert Biale", "appelation": "Napa Valley", "state": "California", "name": "Black Chicken", "year": 2008, "price": 40, "score": 91, "cases": 2700, "drink": "2012"}, {"no": 4, "grape": "Zinfandel", "winery": "Robert Biale", "appelation": "Napa Valley", "state": "California", "name": "Napa Ranches", "year": 2008, "price": 38, "score": 89, "cases": 525, "drink": "now"}, {"no": 5, "grape": "Zinfandel", "winery": "Robert Biale", "appelation": "St. Helena", "state": "California", "name": "Varozza Vineyard", "year": 2008, "price": 44, "score": 88, "cases": 275, "drink": "2012"}, {"no": 6, "grape": "Zinfandel", "winery": "Pedroncelli", "appelation": "Dry Creek Valley", "state": "California", "name": "Mother Clone", "year": 2008, "price": 15, "score": 88, "cases": 6000, "drink": "now"}, {"no": 7, "grape": "Zinfandel", "winery": "Rutherford Ranch", "appelation": "Napa Valley", "state": "California", "name": "Zinfandel", "year": 2007, "price": 18, "score": 87, "cases": 1552, "drink": "now"}, {"no": 8, "grape": "Sauvignon Blanc", "winery": "Altamura", "appelation": "Napa Valley", "state": "California", "name": "Sauvignon Blanc", "year": 2007, "price": 48, "score": 92, "cases": 500, "drink": "now"}, {"no": 9, "grape": "Sauvignon Blanc", "winery": "Capture", "appelation": "Sonoma County", "state": "California", "name": "Les Pionniers", "year": 2009, "price": 36, "score": 92, "cases": 360, "drink": "now"}, {"no": 10, "grape": "Sauvignon Blanc", "winery": "Brander", "appelation": "Santa Ynez Valley", "state": "California", "name": "Cuvee Nicolas", "year": 2009, "price": 25, "score": 91, "cases": 377, "drink": "now"}, {"no": 11, "grape": "Sauvignon Blanc", "winery": "Capture", "appelation": "California", "state": "California", "name": "Tradition", "year": 2009, "price": 30, "score": 91, "cases": 875, "drink": "now"}, {"no": 12, "grape": "Sauvignon Blanc", "winery": "John Anthony", "appelation": "Carneros", "state": "California", "name": "Church Vineyard", "year": 2009, "price": 28, "score": 91, "cases": 354, "drink": "now"}, {"no": 13, "grape": "Sauvignon Blanc", "winery": "Peter Michael", "appelation": "Knights Valley", "state": "California", "name": "LApres-Midi", "year": 2008, "price": 48, "score": 91, "cases": 1260, "drink": "now"}, {"no": 14, "grape": "Sauvignon Blanc", "winery": "Grey Stack", "appelation": "Bennett Valley", "state": "California", "name": "Rosemarys Block Dry Stack Vineyard", "year": 2009, "price": 28, "score": 90, "cases": 700, "drink": "now"}, {"no": 15, "grape": "Sauvignon Blanc", "winery": "Round Pond Estate", "appelation": "Rutherford", "state": "California", "name": "Sauvignon Blanc", "year": 2009, "price": 26, "score": 90, "cases": 714, "drink": "now"}, {"no": 16, "grape": "Sauvignon Blanc", "winery": "Beckmen", "appelation": "Santa Ynez Valley", "state": "California", "name": "Sauvignon Blanc", "year": 2009, "price": 16, "score": 89, "cases": 1500, "drink": "now"}, {"no": 17, "grape": "Sauvignon Blanc", "winery": "Beltane Ranch", "appelation": "Sonoma Valley", "state": "California", "name": "Sauvignon Blanc", "year": 2009, "price": 23, "score": 89, "cases": 413, "drink": "now"}, {"no": 18, "grape": "Sauvignon Blanc", "winery": "Brander", "appelation": "Santa Ynez Valley", "state": "California", "name": "Mesa Verde Vineyard", "year": 2009, "price": 22, "score": 89, "cases": 380, "drink": "now"}, {"no": 19, "grape": "Sauvignon Blanc", "winery": "Cade", "appelation": "Napa Valley", "state": "California", "name": "Sauvignon Blanc", "year": 2008, "price": 26, "score": 89, "cases": 5200, "drink": "now"}, {"no": 20, "grape": "Sauvignon Blanc", "winery": "Jericho Canyon", "appelation": "Napa Valley", "state": "California", "name": "Sauvignon Blanc", "year": 2009, "price": 25, "score": 89, "cases": 370, "drink": "now"}, {"no": 21, "grape": "Sauvignon Blanc", "winery": "John Anthony", "appelation": "Napa Valley", "state": "California", "name": "Sauvignon Blanc", "year": 2009, "price": 19, "score": 89, "cases": 3098, "drink": "now"}, {"no": 22, "grape": "Sauvignon Blanc", "winery": "Kenzo", "appelation": "Napa Valley", "state": "California", "name": "Asatsuyu", "year": 2008, "price": 60, "score": 89, "cases": 600, "drink": "now"}, {"no": 23, "grape": "Sauvignon Blanc", "winery": "Madrigal", "appelation": "Napa Valley", "state": "California", "name": "Estate", "year": 2009, "price": 25, "score": 89, "cases": 200, "drink": "now"}, {"no": 24, "grape": "Sauvignon Blanc", "winery": "Joseph Phelps", "appelation": "St. Helena", "state": "California", "name": "Sauvignon Blanc", "year": 2008, "price": 32, "score": 89, "cases": 2000, "drink": "now"}, {"no": 25, "grape": "Sauvignon Blanc", "winery": "Sbragia Family", "appelation": "Dry Creek Valley", "state": "California", "name": "Home Ranch", "year": 2009, "price": 20, "score": 89, "cases": 1698, "drink": "now"}, {"no": 26, "grape": "Sauvignon Blanc", "winery": "Selene", "appelation": "Carneros", "state": "California", "name": "Hyde Vineyards", "year": 2009, "price": 27, "score": 89, "cases": 750, "drink": "now"}, {"no": 27, "grape": "Sauvignon Blanc", "winery": "Brander", "appelation": "Santa Ynez Valley", "state": "California", "name": "Purisma Mountain", "year": 2009, "price": 25, "score": 88, "cases": 260, "drink": "now"}, {"no": 28, "grape": "Sauvignon Blanc", "winery": "Cimarone", "appelation": "Happy Canyon of Santa Barbara", "state": "California", "name": "3CV Grassini Family Vineyards", "year": 2009, "price": 21, "score": 88, "cases": 270, "drink": "now"}, {"no": 29, "grape": "Sauvignon Blanc", "winery": "Sbragia Family", "appelation": "Dry Creek Valley", "state": "California", "name": "Schmidt Ranch", "year": 2009, "price": 24, "score": 88, "cases": 602, "drink": "now"}, {"no": 30, "grape": "Sauvignon Blanc", "winery": "Azur", "appelation": "Rutherford", "state": "California", "name": "Sauvignon Blanc", "year": 2009, "price": 24, "score": 87, "cases": 1000, "drink": "now"}, {"no": 31, "grape": "Sauvignon Blanc", "winery": "Brander", "appelation": "Santa Ynez Valley", "state": "California", "name": "Cuvee Natalie", "year": 2009, "price": 18, "score": 87, "cases": 857, "drink": "now"}, {"no": 32, "grape": "Sauvignon Blanc", "winery": "Brander", "appelation": "Santa Ynez Valley", "state": "California", "name": "au Naturel", "year": 2009, "price": 32, "score": 87, "cases": 759, "drink": "now"}, {"no": 33, "grape": "Sauvignon Blanc", "winery": "Handley", "appelation": "Dry Creek Valley", "state": "California", "name": "Handley Vineyard", "year": 2008, "price": 15, "score": 87, "cases": 1214, "drink": "now"}, {"no": 34, "grape": "Sauvignon Blanc", "winery": "Imagery", "appelation": "Sonoma Valley", "state": "California", "name": "Wow Oui", "year": 2009, "price": 27, "score": 87, "cases": 874, "drink": "now"}, {"no": 35, "grape": "Sauvignon Blanc", "winery": "Koehler", "appelation": "Santa Ynez Valley", "state": "California", "name": "Sauvignon Blanc", "year": 2008, "price": 12, "score": 87, "cases": 505, "drink": "now"}, {"no": 36, "grape": "Sauvignon Blanc", "winery": "Pomelo", "appelation": "California", "state": "California", "name": "Sauvignon Blanc", "year": 2009, "price": 10, "score": 87, "cases": 50000, "drink": "now"}, {"no": 37, "grape": "Sauvignon Blanc", "winery": "Twomey", "appelation": "Napa Valley", "state": "California", "name": "Sauvignon Blanc", "year": 2009, "price": 25, "score": 87, "cases": 3326, "drink": "now"}, {"no": 38, "grape": "Sauvignon Blanc", "winery": "White Oak", "appelation": "Russian River Valley", "state": "California", "name": "Sauvignon Blanc", "year": 2008, "price": 16, "score": 87, "cases": 2000, "drink": "now"}, {"no": 39, "grape": "Sauvignon Blanc", "winery": "Benziger", "appelation": "Sonoma-Lake Counties", "state": "California", "name": "Sauvignon Blanc", "year": 2009, "price": 15, "score": 86, "cases": 20000, "drink": "now"}, {"no": 40, "grape": "Sauvignon Blanc", "winery": "Kunde Estate", "appelation": "Sonoma Valley", "state": "California", "name": "Magnolia Lane", "year": 2009, "price": 16, "score": 86, "cases": 15000, "drink": "now"}, {"no": 41, "grape": "Sauvignon Blanc", "winery": "J. Lohr", "appelation": "Napa Valley", "state": "California", "name": "Carols Vineyard", "year": 2009, "price": 24, "score": 86, "cases": 2900, "drink": "now"}, {"no": 42, "grape": "Sauvignon Blanc", "winery": "Pedroncelli", "appelation": "Dry Creek Valley", "state": "California", "name": "East Side Vineyards", "year": 2009, "price": 12, "score": 86, "cases": 5100, "drink": "now"}, {"no": 43, "grape": "Sauvignon Blanc", "winery": "Star Lane", "appelation": "Santa Ynez Valley", "state": "California", "name": "Sauvignon Blanc", "year": 2008, "price": 20, "score": 86, "cases": 2800, "drink": "now"}, {"no": 44, "grape": "Sauvignon Blanc", "winery": "Angeline", "appelation": "Russian River Valley", "state": "California", "name": "Sauvignon Blanc", "year": 2009, "price": 14, "score": 85, "cases": 8500, "drink": "now"}, {"no": 45, "grape": "Sauvignon Blanc", "winery": "Manifesto!", "appelation": "North Coast", "state": "California", "name": "Sauvignon Blanc", "year": 2008, "price": 12, "score": 85, "cases": 8100, "drink": "now"}, {"no": 46, "grape": "Sauvignon Blanc", "winery": "Mirassou", "appelation": "California", "state": "California", "name": "Sauvignon Blanc", "year": 2008, "price": 12, "score": 85, "cases": 42000, "drink": "now"}, {"no": 47, "grape": "Sauvignon Blanc", "winery": "No", "appelation": "Lake County", "state": "California", "name": "Sauvignon Blanc", "year": 2008, "price": 12, "score": 85, "cases": 4210, "drink": "now"}, {"no": 48, "grape": "Cabernet Sauvingnon", "winery": "Chappellet", "appelation": "Napa Valley", "state": "California", "name": "Pritchard Hill", "year": 2007, "price": 135, "score": 96, "cases": 3368, "drink": "now"}, {"no": 49, "grape": "Cabernet Sauvingnon", "winery": "Lewis", "appelation": "Napa Valley", "state": "California", "name": "Reserve", "year": 2007, "price": 130, "score": 95, "cases": 1700, "drink": "now"}, {"no": 50, "grape": "Cabernet Sauvingnon", "winery": "Neyers", "appelation": "Napa Valley", "state": "California", "name": "Neyers Ranch - Conn Valley", "year": 2007, "price": 48, "score": 95, "cases": 575, "drink": "now"}, {"no": 51, "grape": "Cabernet Sauvingnon", "winery": "Ramey", "appelation": "Napa Valley", "state": "California", "name": "Annum", "year": 2007, "price": 85, "score": 95, "cases": 1700, "drink": "now"}, {"no": 52, "grape": "Cabernet Sauvingnon", "winery": "Round Pond Estate", "appelation": "Rutherford", "state": "California", "name": "Cabernet Sauvignon", "year": 2007, "price": 50, "score": 94, "cases": 4018, "drink": "now"}, {"no": 53, "grape": "Cabernet Sauvingnon", "winery": "Carter", "appelation": "Napa Valley", "state": "California", "name": "Beckstoffer To Kalon Vineyard", "year": 2007, "price": 125, "score": 92, "cases": 190, "drink": "now"}, {"no": 54, "grape": "Cabernet Sauvingnon", "winery": "Carter", "appelation": "Napa Valley", "state": "California", "name": "Coliseum Block", "year": 2007, "price": 125, "score": 92, "cases": 277, "drink": "now"}, {"no": 55, "grape": "Cabernet Sauvingnon", "winery": "Ehlers Estate", "appelation": "St. Helena", "state": "California", "name": "1886", "year": 2007, "price": 95, "score": 92, "cases": 800, "drink": "now"}, {"no": 56, "grape": "Cabernet Sauvingnon", "winery": "Fontanella Family", "appelation": "Mount Vedeer", "state": "California", "name": "Cabernet Sauvignon", "year": 2007, "price": 50, "score": 92, "cases": 650, "drink": "2010"}, {"no": 57, "grape": "Cabernet Sauvingnon", "winery": "Janzen", "appelation": "Napa Valley", "state": "California", "name": "Beckstoffer To Kalon Vineyard", "year": 2007, "price": 135, "score": 92, "cases": 235, "drink": "now"}, {"no": 58, "grape": "Cabernet Sauvingnon", "winery": "Morlet", "appelation": "Napa Valley", "state": "California", "name": "Couer de Valee", "year": 2007, "price": 175, "score": 92, "cases": 250, "drink": "now"}, {"no": 59, "grape": "Cabernet Sauvingnon", "winery": "Penche", "appelation": "Napa Valley", "state": "California", "name": "Cabernet Sauvignon", "year": 2006, "price": 60, "score": 92, "cases": 354, "drink": "now"}, {"no": 60, "grape": "Pinot Noir", "winery": "Kosta Browne", "appelation": "Russian River Valley", "state": "California", "name": "Amber Ridge Vineyard", "year": 2008, "price": 72, "score": 95, "cases": 600, "drink": "now"}, {"no": 61, "grape": "Pinot Noir", "winery": "Kosta Browne", "appelation": "Russian River Valley", "state": "California", "name": "Keefer Ranch", "year": 2008, "price": 72, "score": 95, "cases": 613, "drink": "now"}, {"no": 62, "grape": "Pinot Noir", "winery": "Kosta Browne", "appelation": "Russian River Valley", "state": "California", "name": "Koplen Vineyard", "year": 2008, "price": 72, "score": 95, "cases": 792, "drink": "now"}, {"no": 63, "grape": "Pinot Noir", "winery": "Patz & Hall", "appelation": "Russian River Valley", "state": "California", "name": "Freestone Hill", "year": 2007, "price": 70, "score": 95, "cases": 245, "drink": "now"}, {"no": 64, "grape": "Pinot Noir", "winery": "Foxen", "appelation": "Santa Maria Valley", "state": "California", "name": "Julias Vineyard", "year": 2008, "price": 56, "score": 94, "cases": 670, "drink": "now"}, {"no": 65, "grape": "Pinot Noir", "winery": "Paul Hobbs", "appelation": "Napa Valley", "state": "California", "name": "Carneros Hyde Vineyard", "year": 2008, "price": 75, "score": 94, "cases": 741, "drink": "now"}, {"no": 66, "grape": "Pinot Noir", "winery": "Kosta Browne", "appelation": "Russian River Valley", "state": "California", "name": "Pinot Noir", "year": 2008, "price": 52, "score": 94, "cases": 3632, "drink": "now"}, {"no": 67, "grape": "Pinot Noir", "winery": "Kosta Browne", "appelation": "Santa Lucia Highlands", "state": "California", "name": "Garys Vineyard", "year": 2008, "price": 72, "score": 94, "cases": 422, "drink": "now"}, {"no": 68, "grape": "Pinot Noir", "winery": "Kosta Browne", "appelation": "Sonoma Coast", "state": "California", "name": "Kanzler Vineyard", "year": 2008, "price": 72, "score": 94, "cases": 564, "drink": "now"}, {"no": 69, "grape": "Pinot Noir", "winery": "Lynmar", "appelation": "Russian River Valley", "state": "California", "name": "Five Sisters", "year": 2007, "price": 100, "score": 94, "cases": 147, "drink": "now"}, {"no": 70, "grape": "Pinot Noir", "winery": "Kosta Browne", "appelation": "Santa Lucia Highlands", "state": "California", "name": "Pisoni Vineyard", "year": 2008, "price": 72, "score": 93, "cases": 115, "drink": "now"}, {"no": 71, "grape": "Pinot Noir", "winery": "Kosta Browne", "appelation": "Santa Lucia Highlands", "state": "California", "name": "Rosellas Vineyard", "year": 2008, "price": 72, "score": 93, "cases": 255, "drink": "now"}, {"no": 72, "grape": "Pinot Noir", "winery": "Landmark", "appelation": "Sonoma Coast", "state": "California", "name": "Kanzler Vineyard", "year": 2008, "price": 65, "score": 93, "cases": 200, "drink": "now"}, {"no": 73, "grape": "Pinot Noir", "winery": "Lynmar", "appelation": "Russian River Valley", "state": "California", "name": "Valley Bliss Block", "year": 2008, "price": 70, "score": 93, "cases": 152, "drink": "now"}, {"no": 74, "grape": "Pinot Noir", "winery": "Patz & Hall", "appelation": "Sonoma Coast", "state": "California", "name": "Pinot Noir", "year": 2008, "price": 42, "score": 93, "cases": 3103, "drink": "now"}, {"no": 75, "grape": "Pinot Noir", "winery": "Valdez Family", "appelation": "Russian River Valley", "state": "California", "name": "Lancel Creek Vineyard", "year": 2007, "price": 55, "score": 93, "cases": 130, "drink": "now"}, {"no": 76, "grape": "Pinot Noir", "winery": "De Loach", "appelation": "Green Valley of Russian River Valley", "state": "California", "name": "Pinot Noir", "year": 2008, "price": 45, "score": 92, "cases": 1467, "drink": "now"}, {"no": 77, "grape": "Pinot Noir", "winery": "Kosta Browne", "appelation": "California", "state": "California", "name": "4-Barrel", "year": 2008, "price": 72, "score": 92, "cases": 97, "drink": "now"}, {"no": 78, "grape": "Pinot Noir", "winery": "Kosta Browne", "appelation": "Sonoma Coast", "state": "California", "name": "Gaps Crown Vineyard", "year": 2008, "price": 68, "score": 92, "cases": 690, "drink": "now"}, {"no": 79, "grape": "Pinot Noir", "winery": "Kosta Browne", "appelation": "Sonoma Coast", "state": "California", "name": "Pinot Noir", "year": 2008, "price": 52, "score": 90, "cases": 3554, "drink": "now"}, {"no": 80, "grape": "Pinot Noir", "winery": "Rusack", "appelation": "Sta. 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Rita Hills", "state": "California", "name": "Pinot Noir", "year": 2009, "price": 29, "score": 88, "cases": 600, "drink": "now"}, {"no": 153, "grape": "Pinot Noir", "winery": "Siduri", "appelation": "Sonoma County", "state": "California", "name": "Pinot Noir", "year": 2009, "price": 20, "score": 88, "cases": 2657, "drink": "now"}, {"no": 154, "grape": "Pinot Noir", "winery": "Castle Rock", "appelation": "Carneros", "state": "California", "name": "Pinot Noir", "year": 2008, "price": 14, "score": 84, "cases": "NULL", "drink": "now"}, {"no": 155, "grape": "Syrah", "winery": "Sine Qua Non", "appelation": "Sta. Rita Hills", "state": "California", "name": "A Shot in the Dark Eleven Confessions Vineyard", "year": 2006, "price": 200, "score": 98, "cases": 442, "drink": "2012"}, {"no": 156, "grape": "Syrah", "winery": "Favia", "appelation": "Amador County", "state": "California", "name": "Quarzo", "year": 2008, "price": 65, "score": 95, "cases": 154, "drink": "now"}, {"no": 157, "grape": "Syrah", "winery": "Roar", "appelation": "Santa Lucia Highlands", "state": "California", "name": "Rosellas Vineyard", "year": 2008, "price": 40, "score": 94, "cases": 140, "drink": "2011"}, {"no": 158, "grape": "Syrah", "winery": "Carlisle", "appelation": "Bennett Valley", "state": "California", "name": "Cardiac Hill", "year": 2008, "price": 45, "score": 93, "cases": 239, "drink": "now"}, {"no": 159, "grape": "Syrah", "winery": "Herman Story", "appelation": "Santa Barbara County", "state": "California", "name": "Larner Vinyard", "year": 2008, "price": 36, "score": 93, "cases": 135, "drink": "now"}, {"no": 160, "grape": "Syrah", "winery": "Herman Story", "appelation": "Santa Barbara County", "state": "California", "name": "White Hawk Vineyard", "year": 2008, "price": 36, "score": 93, "cases": 132, "drink": "now"}, {"no": 161, "grape": "Syrah", "winery": "Zaca Mesa", "appelation": "Santa Ynez Valley", "state": "California", "name": "Mesa Reserve", "year": 2007, "price": 42, "score": 93, "cases": 992, "drink": "2012"}, {"no": 162, "grape": "Syrah", "winery": "JC Cellars", "appelation": "California", "state": "California", "name": "Twist of Fate", "year": 2008, "price": 55, "score": 92, "cases": 206, "drink": "now"}, {"no": 163, "grape": "Syrah", "winery": "Ramey", "appelation": "Sonoma Coast", "state": "California", "name": "Syrah", "year": 2008, "price": 38, "score": 92, "cases": 1750, "drink": "now"}, {"no": 164, "grape": "Syrah", "winery": "Roar", "appelation": "Santa Lucia Highlands", "state": "California", "name": "Garys Vineyard", "year": 2008, "price": 40, "score": 92, "cases": 110, "drink": "2012"}, {"no": 165, "grape": "Syrah", "winery": "Adobe Road", "appelation": "Dry Creek Valley", "state": "California", "name": "Kemp Vineyard", "year": 2007, "price": 40, "score": 91, "cases": 235, "drink": "now"}, {"no": 166, "grape": "Syrah", "winery": "Novy", "appelation": "Russian River Valley", "state": "California", "name": "Christensen Family Vineyard", "year": 2008, "price": 27, "score": 91, "cases": 177, "drink": "now"}, {"no": 167, "grape": "Syrah", "winery": "Ojai", "appelation": "Sta. Rita Hills", "state": "California", "name": "Melville Vineyards", "year": 2006, "price": 44, "score": 91, "cases": 238, "drink": "now"}, {"no": 168, "grape": "Syrah", "winery": "Joseph Phelps", "appelation": "Napa Valley", "state": "California", "name": "Syrah", "year": 2008, "price": 50, "score": 90, "cases": 600, "drink": "now"}, {"no": 169, "grape": "Syrah", "winery": "Red Car", "appelation": "California", "state": "California", "name": "The Flight", "year": 2008, "price": 55, "score": 90, "cases": 394, "drink": "now"}, {"no": 170, "grape": "Syrah", "winery": "Tensley", "appelation": "Santa Barbara County", "state": "California", "name": "Colson Canyon Vineyard", "year": 2009, "price": 38, "score": 90, "cases": 1495, "drink": "now"}, {"no": 171, "grape": "Syrah", "winery": "Red Lava", "appelation": "Red Hills Lake County", "state": "California", "name": "Syrah", "year": 2007, "price": 22, "score": 89, "cases": 977, "drink": "now"}, {"no": 172, "grape": "Syrah", "winery": "Rosenblum", "appelation": "Solano County", "state": "California", "name": "England-Shaw", "year": 2007, "price": 35, "score": 89, "cases": 735, "drink": "now"}, {"no": 173, "grape": "Syrah", "winery": "Eberle", "appelation": "Paso Robles", "state": "California", "name": "Rose Steinbeck Vineyard", "year": 2009, "price": 17, "score": 88, "cases": 705, "drink": "now"}, {"no": 174, "grape": "Syrah", "winery": "Keller", "appelation": "Sonoma Coast", "state": "California", "name": "La Cruz Vineyard", "year": 2007, "price": 40, "score": 88, "cases": 308, "drink": "now"}, {"no": 175, "grape": "Syrah", "winery": "Fess Parker", "appelation": "Santa Barbara County", "state": "California", "name": "Syrah", "year": 2008, "price": 20, "score": 88, "cases": 2831, "drink": "now"}, {"no": 176, "grape": "Syrah", "winery": "Pride", "appelation": "Sonoma County", "state": "California", "name": "Syrah", "year": 2008, "price": 60, "score": 88, "cases": 575, "drink": "2011"}, {"no": 177, "grape": "Syrah", "winery": "Red Car", "appelation": "Sonoma County", "state": "California", "name": "Syrah", "year": 2008, "price": 45, "score": 88, "cases": 961, "drink": "now"}, {"no": 178, "grape": "Syrah", "winery": "Rosenblum", "appelation": "Lake County", "state": "California", "name": "Snows Lake Vineyard", "year": 2007, "price": 25, "score": 88, "cases": 486, "drink": "now"}, {"no": 179, "grape": "Syrah", "winery": "Rosenblum", "appelation": "Lodi", "state": "California", "name": "Abba Vineyard", "year": 2007, "price": 25, "score": 88, "cases": 450, "drink": "now"}, {"no": 180, "grape": "Syrah", "winery": "Stolpman", "appelation": "Santa Ynez Valley", "state": "California", "name": "Originals", "year": 2008, "price": 38, "score": 88, "cases": 950, "drink": "now"}, {"no": 181, "grape": "Syrah", "winery": "Boheme", "appelation": "Sonoma Coast", "state": "California", "name": "Que Syrah Vineyard", "year": 2006, "price": 40, "score": 87, "cases": 185, "drink": "now"}, {"no": 182, "grape": "Syrah", "winery": "J. Lohr", "appelation": "Paso Robles", "state": "California", "name": "Gesture Limited Release", "year": 2008, "price": 30, "score": 87, "cases": 514, "drink": "2011"}, {"no": 183, "grape": "Syrah", "winery": "Montes", "appelation": "Paso Robles", "state": "California", "name": "Star Angel ", "year": 2007, "price": 35, "score": 87, "cases": 3000, "drink": "now"}, {"no": 184, "grape": "Syrah", "winery": "Rosenblum", "appelation": "Sonoma County", "state": "California", "name": "Kick Ranch Reserve", "year": 2007, "price": 45, "score": 87, "cases": 496, "drink": "2012"}, {"no": 185, "grape": "Syrah", "winery": "Stolpman", "appelation": "Santa Ynez Valley", "state": "California", "name": "Syrah", "year": 2008, "price": 30, "score": 87, "cases": 1500, "drink": "now"}, {"no": 186, "grape": "Syrah", "winery": "Zaca Mesa", "appelation": "Santa Ynez Valley", "state": "California", "name": "Syrah", "year": 2007, "price": 24, "score": 87, "cases": 7651, "drink": "now"}, {"no": 187, "grape": "Syrah", "winery": "Domaine de la Terre Rouge", "appelation": "California", "state": "California", "name": "Les Cotes De LOuest", "year": 2008, "price": 18, "score": 84, "cases": "NULL", "drink": "now"}, {"no": 188, "grape": "Syrah", "winery": "Fetzer", "appelation": "California", "state": "California", "name": "Shiraz", "year": 2008, "price": 9, "score": 83, "cases": "NULL", "drink": "now"}, {"no": 189, "grape": "Zinfandel", "winery": "Carlisle", "appelation": "Russian River Valley", "state": "California", "name": "Carlisle Vineyard", "year": 2008, "price": 43, "score": 93, "cases": 325, "drink": "now"}, {"no": 190, "grape": "Zinfandel", "winery": "Turley", "appelation": "Howell Mountain", "state": "California", "name": "Cedarman", "year": 2008, "price": 29, "score": 93, "cases": 400, "drink": "now"}, {"no": 191, "grape": "Zinfandel", "winery": "Turley", "appelation": "Napa Valley", "state": "California", "name": "Tofanelli Vineyard", "year": 2008, "price": 34, "score": 93, "cases": 200, "drink": "now"}, {"no": 192, "grape": "Zinfandel", "winery": "Collier Falls", "appelation": "Dry Creek Valley", "state": "California", "name": "Private Reserve", "year": 2006, "price": 32, "score": 92, "cases": 300, "drink": "now"}, {"no": 193, "grape": "Zinfandel", "winery": "Turley", "appelation": "Sonoma Valley", "state": "California", "name": "Fredericks Vineyard", "year": 2008, "price": 42, "score": 91, "cases": 300, "drink": "now"}, {"no": 194, "grape": "Zinfandel", "winery": "Carlisle", "appelation": "Sonoma Valley", "state": "California", "name": "Rossi Ranch", "year": 2008, "price": 40, "score": 90, "cases": 119, "drink": "2012"}, {"no": 195, "grape": "Zinfandel", "winery": "Dark Horse", "appelation": "Dry Creek Valley", "state": "California", "name": "Treborce Vineyard", "year": 2008, "price": 28, "score": 90, "cases": 750, "drink": "now"}, {"no": 196, "grape": "Zinfandel", "winery": "St. Francis", "appelation": "Sonoma County", "state": "California", "name": "Wild Oak Old Vines", "year": 2007, "price": 38, "score": 89, "cases": 1900, "drink": "now"}, {"no": 197, "grape": "Zinfandel", "winery": "Girard", "appelation": "Napa Valley", "state": "California", "name": "Old Vine", "year": 2008, "price": 24, "score": 88, "cases": 2850, "drink": "now"}, {"no": 198, "grape": "Zinfandel", "winery": "Sextant", "appelation": "Paso Robles", "state": "California", "name": "Wheelhouse", "year": 2008, "price": 20, "score": 88, "cases": 3300, "drink": "now"}, {"no": 199, "grape": "Zinfandel", "winery": "Terra dOro", "appelation": "Amador County", "state": "California", "name": "Zinfandel", "year": 2007, "price": 18, "score": 88, "cases": 14000, "drink": "now"}, {"no": 200, "grape": "Zinfandel", "winery": "Artezin", "appelation": "Mendocino County", "state": "California", "name": "Zinfandel", "year": 2009, "price": 18, "score": 87, "cases": 15000, "drink": "now"}], "grapes": [{"id": 1, "grape": "Barbera", "color": "Red"}, {"id": 2, "grape": "Cabernet Franc", "color": "Red"}, {"id": 3, "grape": "Cabernet Sauvingnon", "color": "Red"}, {"id": 4, "grape": "Chardonnay", "color": "White"}, {"id": 5, "grape": "Grenache", "color": "Red"}, {"id": 6, "grape": "Malbec", "color": "Red"}, {"id": 7, "grape": "Marsanne", "color": "White"}, {"id": 8, "grape": "Merlot", "color": "Red"}, {"id": 9, "grape": "Mourvedre", "color": "Red"}, {"id": 10, "grape": "Muscat", "color": "White"}, {"id": 11, "grape": "Petite Sirah", "color": "Red"}, {"id": 12, "grape": "Pinot Noir", "color": "Red"}, {"id": 13, "grape": "Riesling", "color": "White"}, {"id": 14, "grape": "Roussanne", "color": "White"}, {"id": 15, "grape": "Sangiovese", "color": "Red"}, {"id": 16, "grape": "Sauvignon Blanc", "color": "White"}, {"id": 17, "grape": "Syrah", "color": "Red"}, {"id": 18, "grape": "Tempranillo", "color": "Red"}, {"id": 19, "grape": "Viognier", "color": "White"}, {"id": 20, "grape": "Zinfandel", "color": "Red"}]}, "correct_code": "-- Load wine_1__wine data\nwine = load(\"wine\")\n\nfiltered_wine = wine\n |> filter(price >= 86)\n\nsummary = filtered_wine\n |> group_by(appelation)\n |> aggregate(avg_price: avg(price), count: count())\n\nresult = summary\n |> sort_by(count, asc)\n |> take(5)\n\nemit result", "buggy_code": "-- Load wine_1__wine data\nwine = load(\"wine\")\n\nfiltered_wine = wine\n |> filter(price >= 86)\n\nsummary = filtered_wine\n |> group_by(appelation)\n |> aggregate(avg_price: avg(price), count: count())\n\nresult = summary\n |> sort_by(count, desc)\n |> take(5)\n\nemit result", "expected_output": [{"appelation": "St. Helena", "avg_price": 95.0, "count": 1}, {"appelation": "Russian River Valley", "avg_price": 100.0, "count": 1}, {"appelation": "Stags Leap District", "avg_price": 115.0, "count": 1}, {"appelation": "Oakville", "avg_price": 90.0, "count": 1}, {"appelation": "Sta. Rita Hills", "avg_price": 200.0, "count": 2}], "bug_info": [{"category": "wrong_arg", "description": "Wrong sort order: 'asc' \u2192 'desc'", "line_num": 12, "original": "|> sort_by(count, asc)", "mutated": "|> sort_by(count, desc)"}], "difficulty": "easy", "domain": "wine_1__wine", "num_nodes": 4, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_medium | {"datasets": {"addresses": [{"address_id": 5, "line_1": "0900 Roderick Oval\nNew Albina, WA 19200-7914", "line_2": "Suite 096", "city": "Linnealand", "zip_postcode": "862", "state_province_county": "Montana", "country": "USA"}, {"address_id": 9, "line_1": "966 Dach Ports Apt. 322\nLake Harmonyhaven, VA 65235", "line_2": "Apt. 163", "city": "South Minnie", "zip_postcode": "716", "state_province_county": "Texas", "country": "USA"}, {"address_id": 29, "line_1": "28550 Broderick Underpass Suite 667\nZakaryhaven, WY 22945-1534", "line_2": "Apt. 419", "city": "North Trystanborough", "zip_postcode": "112", "state_province_county": "Vermont", "country": "USA"}, {"address_id": 30, "line_1": "83706 Ana Trafficway Apt. 992\nWest Jarret, MI 01112", "line_2": "Apt. 884", "city": "Lake Kaley", "zip_postcode": "431", "state_province_county": "Washington", "country": "USA"}, {"address_id": 43, "line_1": "69165 Beatty Station\nHaleighstad, MS 55164", "line_2": "Suite 333", "city": "Stephaniemouth", "zip_postcode": "559", "state_province_county": "Massachusetts", "country": "USA"}, {"address_id": 45, "line_1": "242 Pacocha Streets\nEast Isabellashire, ND 03506", "line_2": "Suite 370", "city": "O'Connellview", "zip_postcode": "514", "state_province_county": "NewMexico", "country": "USA"}, {"address_id": 55, "line_1": "801 Modesto Island Suite 306\nLacyville, VT 34059", "line_2": "Suite 764", "city": "New Alta", "zip_postcode": "176", "state_province_county": "Mississippi", "country": "USA"}, {"address_id": 63, "line_1": "0177 Fisher Dam\nBerniershire, KS 00038-7574", "line_2": "Apt. 903", "city": "South Keenan", "zip_postcode": "613", "state_province_county": "Michigan", "country": "USA"}, {"address_id": 68, "line_1": "09471 Hickle Light\nPort Maxime, NJ 91550-5409", "line_2": "Suite 903", "city": "Hannahside", "zip_postcode": "354", "state_province_county": "Connecticut", "country": "USA"}, {"address_id": 73, "line_1": "67831 Lavonne Lodge\nOlsontown, DC 20894", "line_2": "Apt. 756", "city": "Alizeshire", "zip_postcode": "687", "state_province_county": "NewMexico", "country": "USA"}, {"address_id": 82, "line_1": "228 Fahey Land\nBaileymouth, FL 06297-5606", "line_2": "Suite 087", "city": "South Naomibury", "zip_postcode": "079", "state_province_county": "Ohio", "country": "USA"}, {"address_id": 88, "line_1": "1770 Adriel Ramp Apt. 397\nWest Ashlynnchester, UT 91968", "line_2": "Apt. 617", "city": "East Tavaresburgh", "zip_postcode": "179", "state_province_county": "SouthDakota", "country": "USA"}, {"address_id": 92, "line_1": "8760 Eldon Squares Suite 260\nMarquisestad, GA 38537", "line_2": "Apt. 435", "city": "Lake Devon", "zip_postcode": "244", "state_province_county": "SouthDakota", "country": "USA"}, {"address_id": 94, "line_1": "8263 Abbott Crossing Apt. 066\nOberbrunnerbury, LA 67451", "line_2": "Apt. 626", "city": "Boyleshire", "zip_postcode": "536", "state_province_county": "Kansas", "country": "USA"}, {"address_id": 99, "line_1": "521 Paucek Field\nNorth Oscartown, WI 31527", "line_2": "Apt. 849", "city": "Terencetown", "zip_postcode": "979", "state_province_county": "Michigan", "country": "USA"}], "people_addresses": [{"person_address_id": 122, "person_id": 111, "address_id": 9, "date_from": "2012-09-26 13:21:00", "date_to": "2018-03-21 09:46:30"}, {"person_address_id": 257, "person_id": 121, "address_id": 5, "date_from": "2008-07-31 02:17:25", "date_to": "2018-03-09 02:11:12"}, {"person_address_id": 269, "person_id": 131, "address_id": 88, "date_from": "2008-05-26 20:43:41", "date_to": "2018-03-11 20:26:41"}, {"person_address_id": 276, "person_id": 141, "address_id": 99, "date_from": "2014-05-10 00:32:31", "date_to": "2018-03-08 06:16:47"}, {"person_address_id": 281, "person_id": 151, "address_id": 92, "date_from": "2010-11-26 05:21:12", "date_to": "2018-03-12 21:10:02"}, {"person_address_id": 340, "person_id": 161, "address_id": 45, "date_from": "2017-05-01 17:32:26", "date_to": "2018-03-09 08:45:06"}, {"person_address_id": 363, "person_id": 171, "address_id": 55, "date_from": "2015-05-24 16:14:12", "date_to": "2018-02-23 22:44:18"}, {"person_address_id": 396, "person_id": 181, "address_id": 82, "date_from": "2013-12-26 16:57:01", "date_to": "2018-03-03 16:06:17"}]}, "correct_code": "-- Load student_assessment__addresses data\naddresses = load(\"addresses\")\n\nfiltered_addresses = addresses\n |> filter(state_province_county == \"NewMexico\")\n |> select(zip_postcode, line_1, line_2, address_id)\n\nsummary = filtered_addresses\n |> group_by(zip_postcode)\n |> aggregate(max_address_id: max(address_id), count: count())\n |> compute(computed_val: count * max_address_id)\n\nresult = summary\n |> sort_by(count, desc)\n |> take(10)\n\nemit result", "buggy_code": "-- Load student_assessment__addresses data\naddresses = load(\"addresses\")\n\nfiltered_addresses = addresses\n |> filter(state_province_county == \"line_1\")\n |> select(zip_postcode, line_1, line_2, address_id)\n\nsummary = filtered_addresses\n |> group_by(zip_postcode)\n |> aggregate(max_address_id: max(address_id), count: count())\n |> compute(computed_val: count * max_address_id)\n\nresult = summary\n |> sort_by(count, desc)\n |> take(10)\n\nemit result", "expected_output": [{"zip_postcode": "514", "max_address_id": 45, "count": 1, "computed_val": 45}, {"zip_postcode": "687", "max_address_id": 73, "count": 1, "computed_val": 73}], "bug_info": [{"category": "wrong_col", "description": "Wrong column reference: 'NewMexico' \u2192 'line_1'", "line_num": 5, "original": "|> filter(state_province_county == \"NewMexico\")", "mutated": "|> filter(state_province_county == \"line_1\")"}], "difficulty": "medium", "domain": "student_assessment__addresses", "num_nodes": 4, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_easy | {"datasets": {"has_allergy": [{"stuid": 1001, "allergy": "Cat"}, {"stuid": 1002, "allergy": "Shellfish"}, {"stuid": 1002, "allergy": "Tree Pollen"}, {"stuid": 1003, "allergy": "Dog"}, {"stuid": 1004, "allergy": "Nuts"}, {"stuid": 1005, "allergy": "Nuts"}, {"stuid": 1005, "allergy": "Tree Pollen"}, {"stuid": 1006, "allergy": "Nuts"}, {"stuid": 1007, "allergy": "Ragweed"}, {"stuid": 1007, "allergy": "Tree Pollen"}, {"stuid": 1007, "allergy": "Grass Pollen"}, {"stuid": 1007, "allergy": "Eggs"}, {"stuid": 1007, "allergy": "Milk"}, {"stuid": 1007, "allergy": "Shellfish"}, {"stuid": 1007, "allergy": "Anchovies"}, {"stuid": 1007, "allergy": "Cat"}, {"stuid": 1007, "allergy": "Dog"}, {"stuid": 1009, "allergy": "Tree Pollen"}, {"stuid": 1010, "allergy": "Ragweed"}, {"stuid": 1010, "allergy": "Tree Pollen"}, {"stuid": 1010, "allergy": "Grass Pollen"}, {"stuid": 1010, "allergy": "Eggs"}, {"stuid": 1010, "allergy": "Milk"}, {"stuid": 1010, "allergy": "Shellfish"}, {"stuid": 1010, "allergy": "Anchovies"}, {"stuid": 1010, "allergy": "Cat"}, {"stuid": 1010, "allergy": "Dog"}, {"stuid": 1011, "allergy": "Ragweed"}, {"stuid": 1012, "allergy": "Ragweed"}, {"stuid": 1013, "allergy": "Ragweed"}, {"stuid": 1014, "allergy": "Nuts"}, {"stuid": 1015, "allergy": "Nuts"}, {"stuid": 1015, "allergy": "Soy"}, {"stuid": 1016, "allergy": "Nuts"}, {"stuid": 1016, "allergy": "Milk"}, {"stuid": 1017, "allergy": "Tree Pollen"}, {"stuid": 1018, "allergy": "Nuts"}, {"stuid": 1018, "allergy": "Soy"}, {"stuid": 1019, "allergy": "Tree Pollen"}, {"stuid": 1020, "allergy": "Tree Pollen"}, {"stuid": 1021, "allergy": "Tree Pollen"}, {"stuid": 1022, "allergy": "Nuts"}, {"stuid": 1022, "allergy": "Anchovies"}, {"stuid": 1023, "allergy": "Rodent"}, {"stuid": 1023, "allergy": "Cat"}, {"stuid": 1023, "allergy": "Nuts"}, {"stuid": 1024, "allergy": "Ragweed"}, {"stuid": 1024, "allergy": "Tree Pollen"}, {"stuid": 1025, "allergy": "Tree Pollen"}, {"stuid": 1026, "allergy": "Grass Pollen"}, {"stuid": 1027, "allergy": "Tree Pollen"}, {"stuid": 1028, "allergy": "Tree Pollen"}, {"stuid": 1029, "allergy": "Soy"}, {"stuid": 1029, "allergy": "Nuts"}, {"stuid": 1029, "allergy": "Eggs"}, {"stuid": 1030, "allergy": "Grass Pollen"}, {"stuid": 1031, "allergy": "Nuts"}, {"stuid": 1031, "allergy": "Shellfish"}, {"stuid": 1031, "allergy": "Soy"}], "student": [{"stuid": 1001, "lname": "Smith", "fname": "Linda", "age": 18, "sex": "F", "major": 600, "advisor": 1121, "city_code": "BAL"}, {"stuid": 1002, "lname": "Kim", "fname": "Tracy", "age": 19, "sex": "F", "major": 600, "advisor": 7712, "city_code": "HKG"}, {"stuid": 1003, "lname": "Jones", "fname": "Shiela", "age": 21, "sex": "F", "major": 600, "advisor": 7792, "city_code": "WAS"}, {"stuid": 1004, "lname": "Kumar", "fname": "Dinesh", "age": 20, "sex": "M", "major": 600, "advisor": 8423, "city_code": "CHI"}, {"stuid": 1005, "lname": "Gompers", "fname": "Paul", "age": 26, "sex": "M", "major": 600, "advisor": 1121, "city_code": "YYZ"}, {"stuid": 1006, "lname": "Schultz", "fname": "Andy", "age": 18, "sex": "M", "major": 600, "advisor": 1148, "city_code": "BAL"}, {"stuid": 1007, "lname": "Apap", "fname": "Lisa", "age": 18, "sex": "F", "major": 600, "advisor": 8918, "city_code": "PIT"}, {"stuid": 1008, "lname": "Nelson", "fname": "Jandy", "age": 20, "sex": "F", "major": 600, "advisor": 9172, "city_code": "BAL"}, {"stuid": 1009, "lname": "Tai", "fname": "Eric", "age": 19, "sex": "M", "major": 600, "advisor": 2192, "city_code": "YYZ"}, {"stuid": 1010, "lname": "Lee", "fname": "Derek", "age": 17, "sex": "M", "major": 600, "advisor": 2192, "city_code": "HOU"}, {"stuid": 1011, "lname": "Adams", "fname": "David", "age": 22, "sex": "M", "major": 600, "advisor": 1148, "city_code": "PHL"}, {"stuid": 1012, "lname": "Davis", "fname": "Steven", "age": 20, "sex": "M", "major": 600, "advisor": 7723, "city_code": "PIT"}, {"stuid": 1014, "lname": "Norris", "fname": "Charles", "age": 18, "sex": "M", "major": 600, "advisor": 8741, "city_code": "DAL"}, {"stuid": 1015, "lname": "Lee", "fname": "Susan", "age": 16, "sex": "F", "major": 600, "advisor": 8721, "city_code": "HKG"}, {"stuid": 1016, "lname": "Schwartz", "fname": "Mark", "age": 17, "sex": "M", "major": 600, "advisor": 2192, "city_code": "DET"}, {"stuid": 1017, "lname": "Wilson", "fname": "Bruce", "age": 27, "sex": "M", "major": 600, "advisor": 1148, "city_code": "LON"}, {"stuid": 1018, "lname": "Leighton", "fname": "Michael", "age": 20, "sex": "M", "major": 600, "advisor": 1121, "city_code": "PIT"}, {"stuid": 1019, "lname": "Pang", "fname": "Arthur", "age": 18, "sex": "M", "major": 600, "advisor": 2192, "city_code": "WAS"}, {"stuid": 1020, "lname": "Thornton", "fname": "Ian", "age": 22, "sex": "M", "major": 520, "advisor": 7271, "city_code": "NYC"}, {"stuid": 1021, "lname": "Andreou", "fname": "George", "age": 19, "sex": "M", "major": 520, "advisor": 8722, "city_code": "NYC"}, {"stuid": 1022, "lname": "Woods", "fname": "Michael", "age": 17, "sex": "M", "major": 540, "advisor": 8722, "city_code": "PHL"}, {"stuid": 1023, "lname": "Shieber", "fname": "David", "age": 20, "sex": "M", "major": 520, "advisor": 8722, "city_code": "NYC"}, {"stuid": 1024, "lname": "Prater", "fname": "Stacy", "age": 18, "sex": "F", "major": 540, "advisor": 7271, "city_code": "BAL"}, {"stuid": 1025, "lname": "Goldman", "fname": "Mark", "age": 18, "sex": "M", "major": 520, "advisor": 7134, "city_code": "PIT"}, {"stuid": 1026, "lname": "Pang", "fname": "Eric", "age": 19, "sex": "M", "major": 520, "advisor": 7134, "city_code": "HKG"}, {"stuid": 1027, "lname": "Brody", "fname": "Paul", "age": 18, "sex": "M", "major": 520, "advisor": 8723, "city_code": "LOS"}, {"stuid": 1028, "lname": "Rugh", "fname": "Eric", "age": 20, "sex": "M", "major": 550, "advisor": 2311, "city_code": "ROC"}, {"stuid": 1029, "lname": "Han", "fname": "Jun", "age": 17, "sex": "M", "major": 100, "advisor": 2311, "city_code": "PEK"}, {"stuid": 1030, "lname": "Cheng", "fname": "Lisa", "age": 21, "sex": "F", "major": 550, "advisor": 2311, "city_code": "SFO"}, {"stuid": 1031, "lname": "Smith", "fname": "Sarah", "age": 20, "sex": "F", "major": 550, "advisor": 8772, "city_code": "PHL"}, {"stuid": 1032, "lname": "Brown", "fname": "Eric", "age": 20, "sex": "M", "major": 550, "advisor": 8772, "city_code": "ATL"}, {"stuid": 1033, "lname": "Simms", "fname": "William", "age": 18, "sex": "M", "major": 550, "advisor": 8772, "city_code": "NAR"}, {"stuid": 1034, "lname": "Epp", "fname": "Eric", "age": 18, "sex": "M", "major": 50, "advisor": 5718, "city_code": "BOS"}, {"stuid": 1035, "lname": "Schmidt", "fname": "Sarah", "age": 26, "sex": "F", "major": 50, "advisor": 5718, "city_code": "WAS"}]}, "correct_code": "-- Load allergy_1__has_allergy data\nhas_allergy = load(\"has_allergy\")\n\nfiltered_has_allergy = has_allergy\n |> filter(allergy == \"Nuts\")\n |> select(stuid, allergy)\n\nresult = filtered_has_allergy\n |> sort_by(stuid, desc)\n |> take(3)\n\nemit result", "buggy_code": "-- Load allergy_1__has_allergy data\nhas_allergy = load(\"has_allergy\")\n\nfiltered_has_allergy = has_allergy\n |> filer(allergy == \"Nuts\")\n |> select(stuid, allergy)\n\nresult = filtered_has_allergy\n sort_by(stuid, desc)\n |> take(3)\n\nemit result", "expected_output": [{"stuid": 1031, "allergy": "Nuts"}, {"stuid": 1029, "allergy": "Nuts"}, {"stuid": 1023, "allergy": "Nuts"}], "bug_info": [{"category": "syntax", "description": "Typo in keyword: 'filter' \u2192 'filer'", "line_num": 5, "original": "|> filter(allergy == \"Nuts\")", "mutated": "|> filer(allergy == \"Nuts\")"}, {"category": "syntax", "description": "Missing pipe operator '|>'", "line_num": 9, "original": "|> sort_by(stuid, desc)", "mutated": "sort_by(stuid, desc)"}], "difficulty": "easy", "domain": "allergy_1__has_allergy", "num_nodes": 3, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_hard | {"datasets": {"status": [{"station_id": 3, "bikes_available": 12, "docks_available": 3, "time": "2015-06-02 12:46:02"}, {"station_id": 3, "bikes_available": 12, "docks_available": 3, "time": "2015-06-02 12:47:02"}, {"station_id": 3, "bikes_available": 12, "docks_available": 3, "time": "2015-06-02 12:48:02"}, {"station_id": 3, "bikes_available": 12, "docks_available": 3, "time": "2015-06-02 12:49:02"}, {"station_id": 3, "bikes_available": 12, "docks_available": 3, "time": "2015-06-02 12:50:02"}, {"station_id": 3, "bikes_available": 12, "docks_available": 3, "time": "2015-06-02 12:51:02"}, {"station_id": 3, "bikes_available": 12, "docks_available": 3, "time": "2015-06-02 12:52:02"}, {"station_id": 3, "bikes_available": 12, "docks_available": 3, "time": "2015-06-02 12:53:03"}, {"station_id": 3, "bikes_available": 12, "docks_available": 3, "time": "2015-06-02 12:54:02"}, 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14:39:02"}, {"station_id": 3, "bikes_available": 12, "docks_available": 3, "time": "2015-06-02 14:40:02"}, {"station_id": 3, "bikes_available": 12, "docks_available": 3, "time": "2015-06-02 14:41:02"}, {"station_id": 3, "bikes_available": 12, "docks_available": 3, "time": "2015-06-02 14:42:02"}, {"station_id": 3, "bikes_available": 12, "docks_available": 3, "time": "2015-06-02 14:43:02"}, {"station_id": 3, "bikes_available": 12, "docks_available": 3, "time": "2015-06-02 14:44:02"}, {"station_id": 3, "bikes_available": 12, "docks_available": 3, "time": "2015-06-02 14:45:02"}, {"station_id": 3, "bikes_available": 12, "docks_available": 3, "time": "2015-06-02 14:46:02"}, {"station_id": 3, "bikes_available": 12, "docks_available": 3, "time": "2015-06-02 14:47:02"}, {"station_id": 3, "bikes_available": 12, "docks_available": 3, "time": "2015-06-02 14:48:02"}, {"station_id": 4, "bikes_available": 6, "docks_available": 5, "time": "2015-06-02 12:46:02"}, {"station_id": 4, "bikes_available": 6, "docks_available": 5, "time": "2015-06-02 12:47:02"}, {"station_id": 4, "bikes_available": 6, "docks_available": 5, "time": "2015-06-02 12:48:02"}, {"station_id": 4, "bikes_available": 6, "docks_available": 5, "time": "2015-06-02 12:49:02"}, {"station_id": 4, "bikes_available": 6, "docks_available": 5, "time": "2015-06-02 12:50:02"}, {"station_id": 4, "bikes_available": 6, "docks_available": 5, "time": "2015-06-02 12:51:02"}, {"station_id": 4, "bikes_available": 6, "docks_available": 5, "time": "2015-06-02 12:52:02"}, {"station_id": 4, "bikes_available": 6, "docks_available": 5, "time": "2015-06-02 12:53:03"}, {"station_id": 4, "bikes_available": 6, "docks_available": 5, "time": "2015-06-02 12:54:02"}, {"station_id": 4, "bikes_available": 6, "docks_available": 5, "time": "2015-06-02 12:55:02"}, {"station_id": 4, "bikes_available": 6, "docks_available": 5, "time": "2015-06-02 12:56:01"}, {"station_id": 4, "bikes_available": 6, "docks_available": 5, "time": "2015-06-02 12:57:02"}, {"station_id": 4, "bikes_available": 6, "docks_available": 5, "time": "2015-06-02 12:58:02"}, {"station_id": 4, "bikes_available": 6, "docks_available": 5, "time": "2015-06-02 12:59:02"}, {"station_id": 4, "bikes_available": 6, "docks_available": 5, "time": "2015-06-02 13:00:01"}, {"station_id": 4, "bikes_available": 6, "docks_available": 5, "time": "2015-06-02 13:01:03"}, {"station_id": 4, "bikes_available": 6, "docks_available": 5, "time": "2015-06-02 13:02:02"}, {"station_id": 4, "bikes_available": 6, "docks_available": 5, "time": "2015-06-02 13:03:02"}, {"station_id": 4, "bikes_available": 6, "docks_available": 5, "time": "2015-06-02 13:04:02"}, {"station_id": 4, "bikes_available": 6, "docks_available": 5, "time": "2015-06-02 13:05:03"}, {"station_id": 4, "bikes_available": 6, "docks_available": 5, "time": "2015-06-02 13:06:02"}, {"station_id": 4, "bikes_available": 6, "docks_available": 5, "time": "2015-06-02 13:07:02"}, {"station_id": 4, "bikes_available": 6, "docks_available": 5, "time": "2015-06-02 13:08:02"}, {"station_id": 4, "bikes_available": 6, "docks_available": 5, "time": "2015-06-02 13:09:02"}, {"station_id": 4, "bikes_available": 6, "docks_available": 5, "time": "2015-06-02 13:10:02"}, {"station_id": 4, "bikes_available": 6, "docks_available": 5, "time": "2015-06-02 13:11:02"}, {"station_id": 4, "bikes_available": 6, "docks_available": 5, "time": "2015-06-02 13:12:02"}, {"station_id": 4, "bikes_available": 6, "docks_available": 5, "time": "2015-06-02 13:13:03"}, {"station_id": 4, "bikes_available": 6, "docks_available": 5, "time": "2015-06-02 13:14:03"}, {"station_id": 4, "bikes_available": 6, "docks_available": 5, "time": "2015-06-02 13:15:02"}, {"station_id": 4, "bikes_available": 6, "docks_available": 5, "time": "2015-06-02 13:16:02"}, {"station_id": 4, "bikes_available": 7, "docks_available": 4, "time": "2015-06-02 13:17:02"}, {"station_id": 4, "bikes_available": 7, "docks_available": 4, "time": "2015-06-02 13:18:02"}, {"station_id": 4, "bikes_available": 7, "docks_available": 4, "time": "2015-06-02 13:19:02"}, {"station_id": 4, "bikes_available": 7, "docks_available": 4, "time": "2015-06-02 13:20:02"}, {"station_id": 4, "bikes_available": 7, "docks_available": 4, "time": "2015-06-02 13:21:02"}, {"station_id": 4, "bikes_available": 7, "docks_available": 4, "time": "2015-06-02 13:22:02"}, {"station_id": 4, "bikes_available": 7, "docks_available": 4, "time": "2015-06-02 13:23:02"}, {"station_id": 4, "bikes_available": 7, "docks_available": 4, "time": "2015-06-02 13:24:02"}, {"station_id": 4, "bikes_available": 7, "docks_available": 4, "time": "2015-06-02 13:25:02"}, {"station_id": 4, "bikes_available": 7, "docks_available": 4, "time": "2015-06-02 13:26:02"}, {"station_id": 4, "bikes_available": 7, "docks_available": 4, "time": "2015-06-02 13:27:02"}, {"station_id": 4, "bikes_available": 7, "docks_available": 4, "time": "2015-06-02 13:28:02"}, {"station_id": 4, "bikes_available": 7, "docks_available": 4, "time": "2015-06-02 13:29:02"}, {"station_id": 4, "bikes_available": 7, "docks_available": 4, "time": "2015-06-02 13:30:02"}, {"station_id": 4, "bikes_available": 7, "docks_available": 4, "time": "2015-06-02 13:31:02"}, {"station_id": 4, "bikes_available": 7, "docks_available": 4, "time": "2015-06-02 13:32:02"}, {"station_id": 4, "bikes_available": 7, "docks_available": 4, "time": "2015-06-02 13:33:02"}, {"station_id": 4, "bikes_available": 7, "docks_available": 4, "time": "2015-06-02 13:34:02"}, {"station_id": 4, "bikes_available": 7, "docks_available": 4, "time": "2015-06-02 13:35:02"}, {"station_id": 4, "bikes_available": 7, "docks_available": 4, "time": "2015-06-02 13:36:02"}, {"station_id": 4, "bikes_available": 7, "docks_available": 4, "time": "2015-06-02 13:37:02"}, {"station_id": 4, "bikes_available": 7, "docks_available": 4, "time": "2015-06-02 13:38:02"}, {"station_id": 4, "bikes_available": 7, "docks_available": 4, "time": "2015-06-02 13:39:02"}, {"station_id": 4, "bikes_available": 7, "docks_available": 4, "time": "2015-06-02 13:40:02"}, {"station_id": 4, "bikes_available": 7, "docks_available": 4, "time": "2015-06-02 13:41:03"}, {"station_id": 4, "bikes_available": 7, "docks_available": 4, "time": "2015-06-02 13:42:03"}, {"station_id": 4, "bikes_available": 7, "docks_available": 4, "time": "2015-06-02 13:43:03"}, {"station_id": 4, "bikes_available": 7, "docks_available": 4, "time": "2015-06-02 13:44:02"}, {"station_id": 4, "bikes_available": 7, "docks_available": 4, "time": "2015-06-02 13:45:03"}, {"station_id": 4, "bikes_available": 7, "docks_available": 4, "time": "2015-06-02 13:46:02"}, {"station_id": 4, "bikes_available": 7, "docks_available": 4, "time": "2015-06-02 13:47:02"}, {"station_id": 4, "bikes_available": 7, "docks_available": 4, "time": "2015-06-02 13:48:02"}, {"station_id": 4, "bikes_available": 7, "docks_available": 4, "time": "2015-06-02 13:49:02"}, {"station_id": 4, "bikes_available": 7, "docks_available": 4, "time": "2015-06-02 13:50:03"}, {"station_id": 4, "bikes_available": 7, "docks_available": 4, "time": "2015-06-02 13:51:02"}, {"station_id": 4, "bikes_available": 7, "docks_available": 4, "time": "2015-06-02 13:52:02"}, {"station_id": 4, "bikes_available": 7, "docks_available": 4, "time": "2015-06-02 13:53:02"}, {"station_id": 4, "bikes_available": 7, "docks_available": 4, "time": "2015-06-02 13:54:02"}, {"station_id": 4, "bikes_available": 7, "docks_available": 4, "time": "2015-06-02 13:55:03"}, {"station_id": 4, "bikes_available": 7, "docks_available": 4, "time": "2015-06-02 13:56:02"}, {"station_id": 4, "bikes_available": 7, "docks_available": 4, "time": "2015-06-02 13:57:02"}, {"station_id": 4, "bikes_available": 7, "docks_available": 4, "time": "2015-06-02 13:58:02"}, {"station_id": 4, "bikes_available": 7, "docks_available": 4, "time": "2015-06-02 13:59:02"}, {"station_id": 4, "bikes_available": 7, "docks_available": 4, "time": "2015-06-02 14:00:02"}, {"station_id": 4, "bikes_available": 7, "docks_available": 4, "time": "2015-06-02 14:01:02"}, {"station_id": 4, "bikes_available": 7, "docks_available": 4, "time": "2015-06-02 14:02:02"}], "station": [{"id": 2, "name": "San Jose Diridon Caltrain Station", "lat": 37.329732, "long": -121.90178200000001, "dock_count": 27, "city": "San Jose", "installation_date": "8/6/2013"}, {"id": 3, "name": "San Jose Civic Center", "lat": 37.330698, "long": -121.888979, "dock_count": 15, "city": "San Jose", "installation_date": "8/5/2013"}, {"id": 4, "name": "Santa Clara at Almaden", "lat": 37.333988, "long": -121.894902, "dock_count": 11, "city": "San Jose", "installation_date": "8/6/2013"}, {"id": 5, "name": "Adobe on Almaden", "lat": 37.331415, "long": -121.8932, "dock_count": 19, "city": "San Jose", "installation_date": "8/5/2013"}, {"id": 6, "name": "San Pedro Square", "lat": 37.336721000000004, "long": -121.894074, "dock_count": 15, "city": "San Jose", "installation_date": "8/7/2013"}, {"id": 7, "name": "Paseo de San Antonio", "lat": 37.333798, "long": -121.88694299999999, "dock_count": 15, "city": "San Jose", "installation_date": "8/7/2013"}, {"id": 8, "name": "San Salvador at 1st", "lat": 37.330165, "long": -121.88583100000001, "dock_count": 15, "city": "San Jose", "installation_date": "8/5/2013"}, {"id": 9, "name": "Japantown", "lat": 37.348742, "long": -121.89471499999999, "dock_count": 15, "city": "San Jose", "installation_date": "8/5/2013"}, {"id": 10, "name": "San Jose City Hall", "lat": 37.337391, "long": -121.886995, "dock_count": 15, "city": "San Jose", "installation_date": "8/6/2013"}, {"id": 11, "name": "MLK Library", "lat": 37.335885, "long": -121.88566000000002, "dock_count": 19, "city": "San Jose", "installation_date": "8/6/2013"}, {"id": 12, "name": "SJSU 4th at San Carlos", "lat": 37.332808, "long": -121.88389099999999, "dock_count": 19, "city": "San Jose", "installation_date": "8/7/2013"}, {"id": 13, "name": "St James Park", "lat": 37.339301, "long": -121.88993700000002, "dock_count": 15, "city": "San Jose", "installation_date": "8/6/2013"}, {"id": 14, "name": "Arena Green / SAP Center", "lat": 37.332692, "long": -121.900084, "dock_count": 19, "city": "San Jose", "installation_date": "8/5/2013"}, {"id": 16, "name": "SJSU - San Salvador at 9th", "lat": 37.333954999999996, "long": -121.877349, "dock_count": 15, "city": "San Jose", "installation_date": "8/7/2013"}, {"id": 21, "name": "Franklin at Maple", "lat": 37.481758, "long": -122.226904, "dock_count": 15, "city": "Redwood City", "installation_date": "8/12/2013"}, {"id": 22, "name": "Redwood City Caltrain Station", "lat": 37.486078000000006, "long": -122.23208899999999, "dock_count": 25, "city": "Redwood City", "installation_date": "8/15/2013"}, {"id": 23, "name": "San Mateo County Center", "lat": 37.487615999999996, "long": -122.229951, "dock_count": 15, "city": "Redwood City", "installation_date": "8/15/2013"}, {"id": 24, "name": "Redwood City Public Library", "lat": 37.484219, "long": -122.227424, "dock_count": 15, "city": "Redwood City", "installation_date": "8/12/2013"}, {"id": 25, "name": "Stanford in Redwood City", "lat": 37.48537, "long": -122.20328799999999, "dock_count": 15, "city": "Redwood City", "installation_date": "8/12/2013"}, {"id": 26, "name": "Redwood City Medical Center", "lat": 37.487682, "long": -122.223492, "dock_count": 15, "city": "Redwood City", "installation_date": "8/12/2013"}, {"id": 27, "name": "Mountain View City Hall", "lat": 37.389218, "long": -122.081896, "dock_count": 15, "city": "Mountain View", "installation_date": "8/16/2013"}, {"id": 28, "name": "Mountain View Caltrain Station", "lat": 37.394358000000004, "long": -122.07671299999998, "dock_count": 23, "city": "Mountain View", "installation_date": "8/15/2013"}, {"id": 29, "name": "San Antonio Caltrain Station", "lat": 37.406940000000006, "long": -122.10675800000001, "dock_count": 23, "city": "Mountain View", "installation_date": "8/15/2013"}, {"id": 30, "name": "Evelyn Park and Ride", "lat": 37.390277000000005, "long": -122.066553, "dock_count": 15, "city": "Mountain View", "installation_date": "8/16/2013"}, {"id": 31, "name": "San Antonio Shopping Center", "lat": 37.400443, "long": -122.10833799999999, "dock_count": 15, "city": "Mountain View", "installation_date": "12/31/2013"}, {"id": 32, "name": "Castro Street and El Camino Real", "lat": 37.385956, "long": -122.083678, "dock_count": 11, "city": "Mountain View", "installation_date": "12/31/2013"}, {"id": 33, "name": "Rengstorff Avenue / California Street", "lat": 37.400240999999994, "long": -122.099076, "dock_count": 15, "city": "Mountain View", "installation_date": "8/16/2013"}, {"id": 34, "name": "Palo Alto Caltrain Station", "lat": 37.443988, "long": -122.164759, "dock_count": 23, "city": "Palo Alto", "installation_date": "8/14/2013"}, {"id": 35, "name": "University and Emerson", "lat": 37.444521, "long": -122.16309299999999, "dock_count": 11, "city": "Palo Alto", "installation_date": "8/15/2013"}, {"id": 36, "name": "California Ave Caltrain Station", "lat": 37.429082, "long": -122.14280500000001, "dock_count": 15, "city": "Palo Alto", "installation_date": "8/14/2013"}, {"id": 37, "name": "Cowper at University", "lat": 37.448598, "long": -122.159504, "dock_count": 11, "city": "Palo Alto", "installation_date": "8/14/2013"}, {"id": 38, "name": "Park at Olive", "lat": 37.425683899999996, "long": -122.13777749999998, "dock_count": 15, "city": "Palo Alto", "installation_date": "8/14/2013"}, {"id": 39, "name": "Powell Street BART", "lat": 37.783871000000005, "long": -122.408433, "dock_count": 19, "city": "San Francisco", "installation_date": "8/25/2013"}, {"id": 41, "name": "Clay at Battery", "lat": 37.795001, "long": -122.39997, "dock_count": 15, "city": "San Francisco", "installation_date": "8/19/2013"}, {"id": 42, "name": "Davis at Jackson", "lat": 37.79728, "long": -122.398436, "dock_count": 15, "city": "San Francisco", "installation_date": "8/19/2013"}, {"id": 45, "name": "Commercial at Montgomery", "lat": 37.794230999999996, "long": -122.402923, "dock_count": 15, "city": "San Francisco", "installation_date": "8/19/2013"}, {"id": 46, "name": "Washington at Kearney", "lat": 37.795425, "long": -122.40476699999999, "dock_count": 15, "city": "San Francisco", "installation_date": "8/19/2013"}, {"id": 47, "name": "Post at Kearney", "lat": 37.788975, "long": -122.403452, "dock_count": 19, "city": "San Francisco", "installation_date": "8/19/2013"}, {"id": 48, "name": "Embarcadero at Vallejo", "lat": 37.799953, "long": -122.398525, "dock_count": 15, "city": "San Francisco", "installation_date": "8/19/2013"}, {"id": 49, "name": "Spear at Folsom", "lat": 37.790302000000004, "long": -122.39063700000001, "dock_count": 19, "city": "San Francisco", "installation_date": "8/20/2013"}, {"id": 50, "name": "Harry Bridges Plaza (Ferry Building)", "lat": 37.795392, "long": -122.394203, "dock_count": 23, "city": "San Francisco", "installation_date": "8/20/2013"}, {"id": 51, "name": "Embarcadero at Folsom", "lat": 37.791464000000005, "long": -122.391034, "dock_count": 19, "city": "San Francisco", "installation_date": "8/20/2013"}, {"id": 54, "name": "Embarcadero at Bryant", "lat": 37.787152, "long": -122.38801299999999, "dock_count": 15, "city": "San Francisco", "installation_date": "8/20/2013"}, {"id": 55, "name": "Temporary Transbay Terminal (Howard at Beale)", "lat": 37.789756, "long": -122.39464299999999, "dock_count": 23, "city": "San Francisco", "installation_date": "8/20/2013"}, {"id": 56, "name": "Beale at Market", "lat": 37.792251, "long": -122.39708600000002, "dock_count": 19, "city": "San Francisco", "installation_date": "8/20/2013"}, {"id": 57, "name": "5th at Howard", "lat": 37.781752000000004, "long": -122.40512700000001, "dock_count": 15, "city": "San Francisco", "installation_date": "8/21/2013"}, {"id": 58, "name": "San Francisco City Hall", "lat": 37.77865, "long": -122.41823500000001, "dock_count": 19, "city": "San Francisco", "installation_date": "8/21/2013"}, {"id": 59, "name": "Golden Gate at Polk", "lat": 37.781332, "long": -122.418603, "dock_count": 23, "city": "San Francisco", "installation_date": "8/21/2013"}, {"id": 60, "name": "Embarcadero at Sansome", "lat": 37.80477, "long": -122.40323400000001, "dock_count": 15, "city": "San Francisco", "installation_date": "8/21/2013"}, {"id": 61, "name": "2nd at Townsend", "lat": 37.780526, "long": -122.39028799999998, "dock_count": 27, "city": "San Francisco", "installation_date": "8/22/2013"}, {"id": 62, "name": "2nd at Folsom", "lat": 37.785299, "long": -122.39623600000002, "dock_count": 19, "city": "San Francisco", "installation_date": "8/22/2013"}, {"id": 63, "name": "Howard at 2nd", "lat": 37.786978000000005, "long": -122.39810800000001, "dock_count": 19, "city": "San Francisco", "installation_date": "8/22/2013"}, {"id": 64, "name": "2nd at South Park", "lat": 37.782259, "long": -122.392738, "dock_count": 15, "city": "San Francisco", "installation_date": "8/22/2013"}, {"id": 65, "name": "Townsend at 7th", "lat": 37.771058000000004, "long": -122.402717, "dock_count": 15, "city": "San Francisco", "installation_date": "8/22/2013"}, {"id": 66, "name": "South Van Ness at Market", "lat": 37.774814, "long": -122.418954, "dock_count": 19, "city": "San Francisco", "installation_date": "8/23/2013"}, {"id": 67, "name": "Market at 10th", "lat": 37.776619000000004, "long": -122.41738500000001, "dock_count": 27, "city": "San Francisco", "installation_date": "8/23/2013"}, {"id": 68, "name": "Yerba Buena Center of the Arts (3rd @ Howard)", "lat": 37.784878000000006, "long": -122.40101399999999, "dock_count": 19, "city": "San Francisco", "installation_date": "8/23/2013"}, {"id": 69, "name": "San Francisco Caltrain 2 (330 Townsend)", "lat": 37.7766, "long": -122.39546999999999, "dock_count": 23, "city": "San Francisco", "installation_date": "8/23/2013"}, {"id": 70, "name": "San Francisco Caltrain (Townsend at 4th)", "lat": 37.776617, "long": -122.39526000000001, "dock_count": 19, "city": "San Francisco", "installation_date": "8/23/2013"}, {"id": 71, "name": "Powell at Post (Union Square)", "lat": 37.788446, "long": -122.408499, "dock_count": 19, "city": "San Francisco", "installation_date": "8/23/2013"}, {"id": 72, "name": "Civic Center BART (7th at Market)", "lat": 37.781039, "long": -122.411748, "dock_count": 23, "city": "San Francisco", "installation_date": "8/23/2013"}, {"id": 73, "name": "Grant Avenue at Columbus Avenue", "lat": 37.798522, "long": -122.40724499999999, "dock_count": 15, "city": "San Francisco", "installation_date": "8/21/2013"}, {"id": 74, "name": "Steuart at Market", "lat": 37.794139, "long": -122.394434, "dock_count": 23, "city": "San Francisco", "installation_date": "8/25/2013"}, {"id": 75, "name": "Mechanics Plaza (Market at Battery)", "lat": 37.7913, "long": -122.399051, "dock_count": 19, "city": "San Francisco", "installation_date": "8/25/2013"}, {"id": 76, "name": "Market at 4th", "lat": 37.786305, "long": -122.40496599999999, "dock_count": 19, "city": "San Francisco", "installation_date": "8/25/2013"}, {"id": 77, "name": "Market at Sansome", "lat": 37.789625, "long": -122.400811, "dock_count": 27, "city": "San Francisco", "installation_date": "8/25/2013"}, {"id": 80, "name": "Santa Clara County Civic Center", "lat": 37.352601, "long": -121.90573300000001, "dock_count": 15, "city": "San Jose", "installation_date": "12/31/2013"}, {"id": 82, "name": "Broadway St at Battery St", "lat": 37.798541, "long": -122.40086200000002, "dock_count": 15, "city": "San Francisco", "installation_date": "1/22/2014"}, {"id": 83, "name": "Mezes Park", "lat": 37.491269, "long": -122.23623400000001, "dock_count": 15, "city": "Redwood City", "installation_date": "2/20/2014"}, {"id": 84, "name": "Ryland Park", "lat": 37.342725, "long": -121.89561699999999, "dock_count": 15, "city": "San Jose", "installation_date": "4/9/2014"}]}, "correct_code": "-- Load bike_1__status data\nstatus = load(\"status\")\n |> select(station_id, time, docks_available)\n\nprocessed = status\n |> compute(computed_val: station_id - docks_available)\n\nresult = processed\n |> sort_by(docks_available, asc)\n |> take(3)\n\nemit result", "buggy_code": "-- Load bike_1__status data\nstatus = load(\"status\")\n |> select(station_id, time, docks_available)\n\nprocessed = status\n |> compute(computed_val: station_id - docks_available)\n\nresult = processed\n |> sort_by(docks_available, asc)\n |> take(5)\n\nemit result", "expected_output": [{"station_id": 3, "time": "2015-06-02 12:46:02", "docks_available": 3, "computed_val": 0}, {"station_id": 3, "time": "2015-06-02 12:47:02", "docks_available": 3, "computed_val": 0}, {"station_id": 3, "time": "2015-06-02 12:48:02", "docks_available": 3, "computed_val": 0}], "bug_info": [{"category": "logic_bug", "description": "Off-by-2 in take: 3 \u2192 5", "line_num": 10, "original": "|> take(3)", "mutated": "|> take(5)"}], "difficulty": "hard", "domain": "bike_1__status", "num_nodes": 3, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_hard | {"datasets": {"weekly_weather": [{"station_id": 1, "day_of_week": "Monday", "high_temperature": 59, "low_temperature": 54, "precipitation": 90.0, "wind_speed_mph": 13}, {"station_id": 1, "day_of_week": "Tuesday", "high_temperature": 66, "low_temperature": 55, "precipitation": 20.0, "wind_speed_mph": 12}, {"station_id": 1, "day_of_week": "Wednesday", "high_temperature": 60, "low_temperature": 52, "precipitation": 10.0, "wind_speed_mph": 14}, {"station_id": 1, "day_of_week": "Thursday", "high_temperature": 55, "low_temperature": 50, "precipitation": 30.0, "wind_speed_mph": 13}, {"station_id": 1, "day_of_week": "Friday", "high_temperature": 55, "low_temperature": 52, "precipitation": 50.0, "wind_speed_mph": 17}, {"station_id": 1, "day_of_week": "Saturday", "high_temperature": 55, "low_temperature": 52, "precipitation": 50.0, "wind_speed_mph": 14}, {"station_id": 1, "day_of_week": "Sunday", "high_temperature": 54, "low_temperature": 52, "precipitation": 50.0, "wind_speed_mph": 12}, {"station_id": 2, "day_of_week": "Monday", "high_temperature": 58, "low_temperature": 54, "precipitation": 60.0, "wind_speed_mph": 20}, {"station_id": 2, "day_of_week": "Tuesday", "high_temperature": 57, "low_temperature": 54, "precipitation": 80.0, "wind_speed_mph": 22}, {"station_id": 2, "day_of_week": "Wednesday", "high_temperature": 59, "low_temperature": 55, "precipitation": 90.0, "wind_speed_mph": 23}, {"station_id": 2, "day_of_week": "Thursday", "high_temperature": 59, "low_temperature": 56, "precipitation": 70.0, "wind_speed_mph": 24}, {"station_id": 3, "day_of_week": "Monday", "high_temperature": 49, "low_temperature": 46, "precipitation": 30.0, "wind_speed_mph": 10}, {"station_id": 3, "day_of_week": "Tuesday", "high_temperature": 50, "low_temperature": 49, "precipitation": 50.0, "wind_speed_mph": 9}, {"station_id": 3, "day_of_week": "Wednesday", "high_temperature": 55, "low_temperature": 54, "precipitation": 60.0, "wind_speed_mph": 8}, {"station_id": 4, "day_of_week": "Monday", "high_temperature": 58, "low_temperature": 54, "precipitation": 70.0, "wind_speed_mph": 7}, {"station_id": 10, "day_of_week": "Tuesday", "high_temperature": 59, "low_temperature": 52, "precipitation": 90.0, "wind_speed_mph": 22}], "station": [{"id": 1, "network_name": "Amersham", "services": "Metropolitan line and Chiltern Railways", "local_authority": "Chiltern"}, {"id": 2, "network_name": "Bushey", "services": "London Overground and London Midland", "local_authority": "Watford"}, {"id": 3, "network_name": "Brentwood", "services": "Greater Anglia", "local_authority": "Brentwood"}, {"id": 4, "network_name": "Broxbourne", "services": "Greater Anglia", "local_authority": "Broxbourne"}, {"id": 5, "network_name": "Carpenders Park", "services": "London Overground", "local_authority": "Three Rivers"}, {"id": 6, "network_name": "Chafford Hundred", "services": "c2c", "local_authority": "Thurrock"}, {"id": 7, "network_name": "Chalfont & Latimer", "services": "Metropolitan line and Chiltern Railways", "local_authority": "Chiltern"}, {"id": 8, "network_name": "Chesham", "services": "Metropolitan line", "local_authority": "Chiltern"}, {"id": 9, "network_name": "Cheshunt", "services": "Greater Anglia", "local_authority": "Broxbourne"}, {"id": 10, "network_name": "Chorleywood", "services": "Metropolitan line and Chiltern Railways", "local_authority": "Three Rivers"}, {"id": 11, "network_name": "Croxley", "services": "Metropolitan line", "local_authority": "Three Rivers"}]}, "correct_code": "-- Load station_weather__weekly_weather data\nweekly_weather = load(\"weekly_weather\")\n |> select(day_of_week, low_temperature, station_id)\n\nsummary = weekly_weather\n |> group_by(day_of_week)\n |> aggregate(max_low_temperature: max(low_temperature), count: count())\n\nresult = summary\n |> sort_by(count, desc)\n |> take(5)\n\nemit result", "buggy_code": "-- Load station_weather__weekly_weather data\nweekly_weather = load(\"weekly_weather\")\n |> select(day_of_week, low_temperature, station_id)\n\nsummary = weekly_weather\n |> group_by(day_of_week)\n |> aggregate(max_low_temperature: max(low_temperature), count: count())\n\nresult = summary\n |> sort_by(count, desc)\n |> take(3)\n\nemit result", "expected_output": [{"day_of_week": "Monday", "max_low_temperature": 54, "count": 4}, {"day_of_week": "Tuesday", "max_low_temperature": 55, "count": 4}, {"day_of_week": "Wednesday", "max_low_temperature": 55, "count": 3}, {"day_of_week": "Thursday", "max_low_temperature": 56, "count": 2}, {"day_of_week": "Friday", "max_low_temperature": 52, "count": 1}], "bug_info": [{"category": "logic_bug", "description": "Off-by-one in take: 5 \u2192 4", "line_num": 11, "original": "|> take(5)", "mutated": "|> take(4)"}, {"category": "logic_bug", "description": "Off-by-one in take: 4 \u2192 3", "line_num": 11, "original": "|> take(4)", "mutated": "|> take(3)"}], "difficulty": "hard", "domain": "station_weather__weekly_weather", "num_nodes": 3, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_hard | {"datasets": {"regular_order_products": [{"regular_order_id": 5, "product_id": 3}, {"regular_order_id": 2, "product_id": 3}, {"regular_order_id": 10, "product_id": 1}, {"regular_order_id": 8, "product_id": 5}, {"regular_order_id": 12, "product_id": 2}, {"regular_order_id": 1, "product_id": 4}, {"regular_order_id": 6, "product_id": 3}, {"regular_order_id": 3, "product_id": 6}, {"regular_order_id": 3, "product_id": 1}, {"regular_order_id": 9, "product_id": 6}, {"regular_order_id": 5, "product_id": 5}, {"regular_order_id": 1, "product_id": 1}, {"regular_order_id": 7, "product_id": 4}, {"regular_order_id": 6, "product_id": 4}, {"regular_order_id": 13, "product_id": 2}], "products": [{"product_id": 1, "product_name": "dvds", "product_price": 1322.78, "product_description": "good condition"}, {"product_id": 2, "product_name": "cloth", "product_price": 6402.09, "product_description": "good condition"}, {"product_id": 3, "product_name": "electronics", "product_price": 2511.29, "product_description": "great condition"}, {"product_id": 4, "product_name": "books", "product_price": 7111.68, "product_description": "good condition"}, {"product_id": 5, "product_name": "food", "product_price": 3644.45, "product_description": "good condition"}, {"product_id": 6, "product_name": "gift", "product_price": 5022.39, "product_description": "bad condition"}]}, "correct_code": "-- Load customer_deliveries__regular_order_products data\nregular_order_products = load(\"regular_order_products\")\n\nfiltered_regular_order_products = regular_order_products\n |> filter(regular_order_id <= 3)\n\n-- Load lookup data\nproducts = load(\"products\")\n |> select(product_id, product_price, product_description)\n\nenriched = join(filtered_regular_order_products, products, on: product_id == product_id)\n\nresult = enriched\n |> sort_by(regular_order_id, asc)\n |> take(5)\n\nemit result", "buggy_code": "-- Load customer_deliveries__regular_order_products data\nregular_order_products = load(\"regular_order_products\")\n\nfiltered_regular_order_products = regular_order_products\n |> filter(regular_order_id <= 3)\n\n-- Load lookup data\nproducts = load(\"products\")\n |> select(product_id, 3, product_description)\n\nenriched = join(filtered_regular_order_products, products, on: product_id == product_id)\n\nresult = enriched\n |> sort_by(regular_order_id, asc)\n |> take(5)\n\nemit result", "expected_output": [{"regular_order_id": 1, "product_id": 4, "product_price": 7111.68, "product_description": "good condition"}, {"regular_order_id": 1, "product_id": 1, "product_price": 1322.78, "product_description": "good condition"}, {"regular_order_id": 2, "product_id": 3, "product_price": 2511.29, "product_description": "great condition"}, {"regular_order_id": 3, "product_id": 6, "product_price": 5022.39, "product_description": "bad condition"}, {"regular_order_id": 3, "product_id": 1, "product_price": 1322.78, "product_description": "good condition"}], "bug_info": [{"category": "wrong_col", "description": "Wrong column reference: 'product_price' \u2192 '3'", "line_num": 9, "original": "|> select(product_id, product_price, product_description)", "mutated": "|> select(product_id, 3, product_description)"}], "difficulty": "hard", "domain": "customer_deliveries__regular_order_products", "num_nodes": 5, "has_join": true} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_medium | {"datasets": {"regular_order_products": [{"regular_order_id": 5, "product_id": 3}, {"regular_order_id": 2, "product_id": 3}, {"regular_order_id": 10, "product_id": 1}, {"regular_order_id": 8, "product_id": 5}, {"regular_order_id": 12, "product_id": 2}, {"regular_order_id": 1, "product_id": 4}, {"regular_order_id": 6, "product_id": 3}, {"regular_order_id": 3, "product_id": 6}, {"regular_order_id": 3, "product_id": 1}, {"regular_order_id": 9, "product_id": 6}, {"regular_order_id": 5, "product_id": 5}, {"regular_order_id": 1, "product_id": 1}, {"regular_order_id": 7, "product_id": 4}, {"regular_order_id": 6, "product_id": 4}, {"regular_order_id": 13, "product_id": 2}], "products": [{"product_id": 1, "product_name": "dvds", "product_price": 1322.78, "product_description": "good condition"}, {"product_id": 2, "product_name": "cloth", "product_price": 6402.09, "product_description": "good condition"}, {"product_id": 3, "product_name": "electronics", "product_price": 2511.29, "product_description": "great condition"}, {"product_id": 4, "product_name": "books", "product_price": 7111.68, "product_description": "good condition"}, {"product_id": 5, "product_name": "food", "product_price": 3644.45, "product_description": "good condition"}, {"product_id": 6, "product_name": "gift", "product_price": 5022.39, "product_description": "bad condition"}]}, "correct_code": "-- Load customer_deliveries__regular_order_products data\nregular_order_products = load(\"regular_order_products\")\n\n-- Load lookup data\nproducts = load(\"products\")\n\nenriched = join(regular_order_products, products, on: product_id == product_id)\n |> compute(computed_val: product_id + regular_order_id)\n\nresult = enriched\n |> sort_by(regular_order_id, desc)\n |> take(5)\n\nemit result", "buggy_code": "-- Load customer_deliveries__regular_order_products data\nregular_order_products = load(\"regular_order_products\")\n\n-- Load lookup data\nproducts = load(\"products\")\n\nenriched = join(regular_order_products, products, on: product_id == product_id)\n |> compute(computed_val: product_id + regular_order_id)\n\nresult = enriched\n |> sort_by(regular_order_id, asc)\n |> take(5)\n\nemit result", "expected_output": [{"regular_order_id": 13, "product_id": 2, "product_name": "cloth", "product_price": 6402.09, "product_description": "good condition", "computed_val": 15}, {"regular_order_id": 12, "product_id": 2, "product_name": "cloth", "product_price": 6402.09, "product_description": "good condition", "computed_val": 14}, {"regular_order_id": 10, "product_id": 1, "product_name": "dvds", "product_price": 1322.78, "product_description": "good condition", "computed_val": 11}, {"regular_order_id": 9, "product_id": 6, "product_name": "gift", "product_price": 5022.39, "product_description": "bad condition", "computed_val": 15}, {"regular_order_id": 8, "product_id": 5, "product_name": "food", "product_price": 3644.45, "product_description": "good condition", "computed_val": 13}], "bug_info": [{"category": "wrong_arg", "description": "Wrong sort order: 'desc' \u2192 'asc'", "line_num": 11, "original": "|> sort_by(regular_order_id, desc)", "mutated": "|> sort_by(regular_order_id, asc)"}], "difficulty": "medium", "domain": "customer_deliveries__regular_order_products", "num_nodes": 4, "has_join": true} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_hard | {"datasets": {"student": [{"stuid": 1001, "lname": "Smith", "fname": "Linda", "age": 18, "sex": "F", "major": 600, "advisor": 1121, "city_code": "BAL"}, {"stuid": 1002, "lname": "Kim", "fname": "Tracy", "age": 19, "sex": "F", "major": 600, "advisor": 7712, "city_code": "HKG"}, {"stuid": 1003, "lname": "Jones", "fname": "Shiela", "age": 21, "sex": "F", "major": 600, "advisor": 7792, "city_code": "WAS"}, {"stuid": 1004, "lname": "Kumar", "fname": "Dinesh", "age": 20, "sex": "M", "major": 600, "advisor": 8423, "city_code": "CHI"}, {"stuid": 1005, "lname": "Gompers", "fname": "Paul", "age": 26, "sex": "M", "major": 600, "advisor": 1121, "city_code": "YYZ"}, {"stuid": 1006, "lname": "Schultz", "fname": "Andy", "age": 18, "sex": "M", "major": 600, "advisor": 1148, "city_code": "BAL"}, {"stuid": 1007, "lname": "Apap", "fname": "Lisa", "age": 18, "sex": "F", "major": 600, "advisor": 8918, "city_code": "PIT"}, {"stuid": 1008, "lname": "Nelson", "fname": "Jandy", "age": 20, "sex": "F", "major": 600, "advisor": 9172, "city_code": "BAL"}, {"stuid": 1009, "lname": "Tai", "fname": "Eric", "age": 19, "sex": "M", "major": 600, "advisor": 2192, "city_code": "YYZ"}, {"stuid": 1010, "lname": "Lee", "fname": "Derek", "age": 17, "sex": "M", "major": 600, "advisor": 2192, "city_code": "HOU"}, {"stuid": 1011, "lname": "Adams", "fname": "David", "age": 22, "sex": "M", "major": 600, "advisor": 1148, "city_code": "PHL"}, {"stuid": 1012, "lname": "Davis", "fname": "Steven", "age": 20, "sex": "M", "major": 600, "advisor": 7723, "city_code": "PIT"}, {"stuid": 1014, "lname": "Norris", "fname": "Charles", "age": 18, "sex": "M", "major": 600, "advisor": 8741, "city_code": "DAL"}, {"stuid": 1015, "lname": "Lee", "fname": "Susan", "age": 16, "sex": "F", "major": 600, "advisor": 8721, "city_code": "HKG"}, {"stuid": 1016, "lname": "Schwartz", "fname": "Mark", "age": 17, "sex": "M", "major": 600, "advisor": 2192, "city_code": "DET"}, {"stuid": 1017, "lname": "Wilson", "fname": "Bruce", "age": 27, "sex": "M", "major": 600, "advisor": 1148, "city_code": "LON"}, {"stuid": 1018, "lname": "Leighton", "fname": "Michael", "age": 20, "sex": "M", "major": 600, "advisor": 1121, "city_code": "PIT"}, {"stuid": 1019, "lname": "Pang", "fname": "Arthur", "age": 18, "sex": "M", "major": 600, "advisor": 2192, "city_code": "WAS"}, {"stuid": 1020, "lname": "Thornton", "fname": "Ian", "age": 22, "sex": "M", "major": 520, "advisor": 7271, "city_code": "NYC"}, {"stuid": 1021, "lname": "Andreou", "fname": "George", "age": 19, "sex": "M", "major": 520, "advisor": 8722, "city_code": "NYC"}, {"stuid": 1022, "lname": "Woods", "fname": "Michael", "age": 17, "sex": "M", "major": 540, "advisor": 8722, "city_code": "PHL"}, {"stuid": 1023, "lname": "Shieber", "fname": "David", "age": 20, "sex": "M", "major": 520, "advisor": 8722, "city_code": "NYC"}, {"stuid": 1024, "lname": "Prater", "fname": "Stacy", "age": 18, "sex": "F", "major": 540, "advisor": 7271, "city_code": "BAL"}, {"stuid": 1025, "lname": "Goldman", "fname": "Mark", "age": 18, "sex": "M", "major": 520, "advisor": 7134, "city_code": "PIT"}, {"stuid": 1026, "lname": "Pang", "fname": "Eric", "age": 19, "sex": "M", "major": 520, "advisor": 7134, "city_code": "HKG"}, {"stuid": 1027, "lname": "Brody", "fname": "Paul", "age": 18, "sex": "M", "major": 520, "advisor": 8723, "city_code": "LOS"}, {"stuid": 1028, "lname": "Rugh", "fname": "Eric", "age": 20, "sex": "M", "major": 550, "advisor": 2311, "city_code": "ROC"}, {"stuid": 1029, "lname": "Han", "fname": "Jun", "age": 17, "sex": "M", "major": 100, "advisor": 2311, "city_code": "PEK"}, {"stuid": 1030, "lname": "Cheng", "fname": "Lisa", "age": 21, "sex": "F", "major": 550, "advisor": 2311, "city_code": "SFO"}, {"stuid": 1031, "lname": "Smith", "fname": "Sarah", "age": 20, "sex": "F", "major": 550, "advisor": 8772, "city_code": "PHL"}, {"stuid": 1032, "lname": "Brown", "fname": "Eric", "age": 20, "sex": "M", "major": 550, "advisor": 8772, "city_code": "ATL"}, {"stuid": 1033, "lname": "Simms", "fname": "William", "age": 18, "sex": "M", "major": 550, "advisor": 8772, "city_code": "NAR"}, {"stuid": 1034, "lname": "Epp", "fname": "Eric", "age": 18, "sex": "M", "major": 50, "advisor": 5718, "city_code": "BOS"}, {"stuid": 1035, "lname": "Schmidt", "fname": "Sarah", "age": 26, "sex": "F", "major": 50, "advisor": 5718, "city_code": "WAS"}], "has_pet": [{"stuid": 1001, "petid": 2001}, {"stuid": 1002, "petid": 2002}, {"stuid": 1002, "petid": 2003}]}, "correct_code": "-- Load pets_1__student data\nstudent = load(\"student\")\n |> select(advisor, stuid, fname, lname)\n\n-- Load lookup data\nhas_pet = load(\"has_pet\")\n\nenriched = join(student, has_pet, on: stuid == stuid)\n\nresult = enriched\n |> sort_by(stuid, asc)\n |> take(5)\n\nemit result", "buggy_code": "-- Load pets_1__student data\nstudent = load(\"student\")\n |> select(advisor, stuid, fname, lname)\n\n-- Load lookup data\nhas_pet = load(\"has_pet\")\n\nenriched = join(student, has_pet, on: student == stuid)\n\nresult = enriched\n |> sort_by(stuid, asc)\n |> take(5)\n\nemit result", "expected_output": [{"advisor": 1121, "stuid": 1001, "fname": "Linda", "lname": "Smith", "petid": 2001}, {"advisor": 7712, "stuid": 1002, "fname": "Tracy", "lname": "Kim", "petid": 2002}, {"advisor": 7712, "stuid": 1002, "fname": "Tracy", "lname": "Kim", "petid": 2003}], "bug_info": [{"category": "join_bug", "description": "Wrong join key: 'stuid' \u2192 'student'", "line_num": 8, "original": "enriched = join(student, has_pet, on: stuid == stuid)", "mutated": "enriched = join(student, has_pet, on: student == stuid)"}], "difficulty": "hard", "domain": "pets_1__student", "num_nodes": 4, "has_join": true} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_medium | {"datasets": {"services": [{"service_id": 10, "organization_id": 10, "service_type_code": "Cleanning", "service_details": "Satisfied"}, {"service_id": 11, "organization_id": 7, "service_type_code": "Check", "service_details": "Satisfied"}, {"service_id": 13, "organization_id": 8, "service_type_code": "Moving Out", "service_details": "Satisfied"}, {"service_id": 22, "organization_id": 10, "service_type_code": "Pay bills", "service_details": "Satisfied"}, {"service_id": 29, "organization_id": 8, "service_type_code": "Moving Out", "service_details": "Satisfied"}, {"service_id": 31, "organization_id": 7, "service_type_code": "Pay bills", "service_details": "Satisfied"}, {"service_id": 36, "organization_id": 8, "service_type_code": "Check", "service_details": "Satisfied"}, {"service_id": 41, "organization_id": 10, "service_type_code": "Check", "service_details": "Satisfied"}, {"service_id": 47, "organization_id": 8, "service_type_code": "Pay bills", "service_details": "Unsatisfied"}, {"service_id": 49, "organization_id": 8, "service_type_code": "Moving Out", "service_details": "Satisfied"}, {"service_id": 52, "organization_id": 8, "service_type_code": "Pay bills", "service_details": "Unsatisfied"}, {"service_id": 65, "organization_id": 8, "service_type_code": "Cleanning", "service_details": "Unsatisfied"}, {"service_id": 66, "organization_id": 8, "service_type_code": "Pay bills", "service_details": "Unsatisfied"}, {"service_id": 77, "organization_id": 7, "service_type_code": "Pay bills", "service_details": "Unsatisfied"}, {"service_id": 87, "organization_id": 8, "service_type_code": "Pay bills", "service_details": "Unsatisfied"}], "residents_services": [{"resident_id": 6, "service_id": 49, "date_moved_in": "2017-06-17 15:43:33", "property_id": 954, "date_requested": "2016-07-25 01:32:23", "date_provided": "2018-02-26 00:27:11", "other_details": "Satisfied"}, {"resident_id": 23, "service_id": 41, "date_moved_in": "2015-03-27 12:00:00", "property_id": 879, "date_requested": "2016-10-10 21:42:21", "date_provided": "2017-08-21 06:23:06", "other_details": "Unsatisfied"}, {"resident_id": 28, "service_id": 11, "date_moved_in": "2015-03-27 12:00:00", "property_id": 629, "date_requested": "2017-07-14 19:03:47", "date_provided": "2017-08-28 03:43:56", "other_details": "Unsatisfied"}, {"resident_id": 43, "service_id": 10, "date_moved_in": "2015-03-27 12:00:00", "property_id": 108, "date_requested": "2016-09-20 22:50:26", "date_provided": "2017-10-17 03:30:08", "other_details": "Unsatisfied"}, {"resident_id": 45, "service_id": 49, "date_moved_in": "2015-03-27 12:00:00", "property_id": 954, "date_requested": "2017-06-14 14:04:50", "date_provided": "2017-08-14 08:06:43", "other_details": "Unsatisfied"}, {"resident_id": 47, "service_id": 65, "date_moved_in": "2015-03-27 12:00:00", "property_id": 669, "date_requested": "2016-12-16 06:08:10", "date_provided": "2018-01-30 09:58:57", "other_details": "Unsatisfied"}, {"resident_id": 67, "service_id": 87, "date_moved_in": "2016-09-27 12:00:00", "property_id": 120, "date_requested": "2016-04-27 14:51:07", "date_provided": "2017-11-13 10:28:34", "other_details": "Unsatisfied"}, {"resident_id": 83, "service_id": 65, "date_moved_in": "2016-09-27 12:00:00", "property_id": 445, "date_requested": "2016-11-27 15:37:02", "date_provided": "2017-09-10 00:48:58", "other_details": "Unsatisfied"}, {"resident_id": 87, "service_id": 29, "date_moved_in": "2016-09-27 12:00:00", "property_id": 748, "date_requested": "2016-10-13 04:15:54", "date_provided": "2017-10-29 13:12:29", "other_details": "Unsatisfied"}, {"resident_id": 90, "service_id": 36, "date_moved_in": "2016-09-27 12:00:00", "property_id": 373, "date_requested": "2016-04-13 05:09:24", "date_provided": "2017-10-28 12:36:43", "other_details": "Unsatisfied"}, {"resident_id": 88, "service_id": 11, "date_moved_in": "2016-09-27 12:00:00", "property_id": 107, "date_requested": "2016-06-18 20:09:24", "date_provided": "2017-08-08 11:24:50", "other_details": "Unsatisfied"}]}, "correct_code": "-- Load local_govt_and_lot__services data\nservices = load(\"services\")\n\nsummary = services\n |> group_by(service_details)\n |> aggregate(max_organization_id: max(organization_id), count: count())\n\nresult = summary\n |> sort_by(count, asc)\n |> take(5)\n\nemit result", "buggy_code": "-- Load local_govt_and_lot__services data\nservices = load(\"services\")\n\nsummary = services\n |> group_by(service_details)\n |> aggregate(max_organization_id: max(max_organization_id), count: count())\n\nresult = summary\n |> sort_by(count, asc)\n |> take(4)\n\nemit result", "expected_output": [{"service_details": "Unsatisfied", "max_organization_id": 8, "count": 6}, {"service_details": "Satisfied", "max_organization_id": 10, "count": 9}], "bug_info": [{"category": "wrong_col", "description": "Wrong column reference: 'organization_id' \u2192 'max_organization_id'", "line_num": 6, "original": "|> aggregate(max_organization_id: max(organization_id), count: count())", "mutated": "|> aggregate(max_organization_id: max(max_organization_id), count: count())"}, {"category": "logic_bug", "description": "Off-by-one in take: 5 \u2192 4", "line_num": 10, "original": "|> take(5)", "mutated": "|> take(4)"}], "difficulty": "medium", "domain": "local_govt_and_lot__services", "num_nodes": 3, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_medium | {"datasets": {"route": [{"train_id": 1, "station_id": 1}, {"train_id": 1, "station_id": 2}, {"train_id": 1, "station_id": 3}, {"train_id": 2, "station_id": 1}, {"train_id": 2, "station_id": 3}, {"train_id": 2, "station_id": 7}, {"train_id": 3, "station_id": 4}, {"train_id": 4, "station_id": 6}, {"train_id": 4, "station_id": 2}, {"train_id": 5, "station_id": 1}, {"train_id": 6, "station_id": 5}, {"train_id": 7, "station_id": 4}, {"train_id": 7, "station_id": 5}, {"train_id": 7, "station_id": 8}, {"train_id": 8, "station_id": 8}, {"train_id": 9, "station_id": 7}, {"train_id": 9, "station_id": 8}, {"train_id": 10, "station_id": 9}], "train": [{"id": 1, "train_number": 16724, "name": "Ananthapuri Express", "origin": "Trivandrum", "destination": "Chennai", "time": "17:15", "interval": "Daily"}, {"id": 2, "train_number": 16127, "name": "Guruvayur Express", "origin": "Chennai", "destination": "Guruvayur", "time": "22:10", "interval": "Daily"}, {"id": 3, "train_number": 16128, "name": "Guruvayur Express", "origin": "Guruvayur", "destination": "Chennai", "time": "4:49", "interval": "Daily"}, {"id": 4, "train_number": 16723, "name": "Ananthapuri Express", "origin": "Chennai", "destination": "Trivandrum", "time": "11:35", "interval": "Daily"}, {"id": 5, "train_number": 16382, "name": "Jayanthi Janatha Express", "origin": "Kanniyakumari", "destination": "Mumbai", "time": "06:30", "interval": "Daily"}, {"id": 6, "train_number": 16525, "name": "Island Express", "origin": "Kanniyakumari", "destination": "Bangalore", "time": "11:15", "interval": "Daily"}, {"id": 7, "train_number": 56701, "name": "Madurai Fast Passenger", "origin": "Quilon", "destination": "Madurai", "time": "21:49", "interval": "Daily"}, {"id": 8, "train_number": 56700, "name": "Quilon Fast Passenger", "origin": "Madurai", "destination": "Quilon Junction", "time": "04:55", "interval": "Daily"}, {"id": 9, "train_number": 16526, "name": "Island Express", "origin": "Bangalore", "destination": "Kanniyakumari", "time": "16:59", "interval": "Daily"}, {"id": 10, "train_number": 16381, "name": "Jayanthi Janatha Express", "origin": "Mumbai", "destination": "Kanniyakumari", "time": "10:38", "interval": "Daily"}, {"id": 11, "train_number": 16650, "name": "Parasuram Express", "origin": "Nagercoil", "destination": "Mangalore", "time": "04:20", "interval": "Daily"}]}, "correct_code": "-- Load station_weather__route data\nroute = load(\"route\")\n |> select(station_id, train_id)\n\nresult = route\n |> sort_by(station_id, desc)\n |> take(5)\n\nemit result", "buggy_code": "-- Load station_weather__route data\nroute = load(\"route\")\n |> select(station_id, train_id)\n\nresult = route\n |> sort_by(station_id, asc)\n |> take(5)\n\nemit result", "expected_output": [{"station_id": 9, "train_id": 10}, {"station_id": 8, "train_id": 7}, {"station_id": 8, "train_id": 8}, {"station_id": 8, "train_id": 9}, {"station_id": 7, "train_id": 2}], "bug_info": [{"category": "wrong_arg", "description": "Wrong sort order: 'desc' \u2192 'asc'", "line_num": 6, "original": "|> sort_by(station_id, desc)", "mutated": "|> sort_by(station_id, asc)"}], "difficulty": "medium", "domain": "station_weather__route", "num_nodes": 2, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_medium | {"datasets": {"timed_locations_of_things": [{"thing_id": 2, "date_and_time": "2016-10-12 12:03:07", "location_code": "064 Charles Mou"}, {"thing_id": 10, "date_and_time": "2016-12-29 00:39:19", "location_code": "288 Lang Ferry"}, {"thing_id": 10, "date_and_time": "2017-10-21 04:21:54", "location_code": "854 Keeling Sho"}, {"thing_id": 14, "date_and_time": "2017-03-19 19:28:13", "location_code": "1316 Morgan Spr"}, {"thing_id": 26, "date_and_time": "2016-04-26 16:34:09", "location_code": "192 Kub Rapids"}, {"thing_id": 45, "date_and_time": "2017-04-19 16:41:03", "location_code": "4667 Kellen Fie"}, {"thing_id": 45, "date_and_time": "2017-04-22 00:37:48", "location_code": "1313 Sawayn Riv"}, {"thing_id": 58, "date_and_time": "2016-08-04 00:25:55", "location_code": "94425 Nellie Kn"}, {"thing_id": 68, "date_and_time": "2017-03-06 01:56:27", "location_code": "4223 Rae Fork S"}, {"thing_id": 68, "date_and_time": "2017-08-31 13:54:13", "location_code": "9628 Bins Islan"}, {"thing_id": 85, "date_and_time": "2016-11-07 09:43:05", "location_code": "2677 Runolfsson"}, {"thing_id": 85, "date_and_time": "2017-01-02 23:26:47", "location_code": "26281 Holden Pa"}, {"thing_id": 85, "date_and_time": "2017-11-26 00:13:44", "location_code": "1537 Schmeler G"}, {"thing_id": 92, "date_and_time": "2017-03-19 13:57:49", "location_code": "113 Geo Glens A"}, {"thing_id": 92, "date_and_time": "2017-10-21 21:35:37", "location_code": "9569 Tanner Inl"}], "things": [{"thing_id": 1, "organization_id": 8, "type_of_thing_code": "Electronics", "service_type_code": "Check", "service_details": "Unsatisfied"}, {"thing_id": 2, "organization_id": 8, "type_of_thing_code": "Electronics", "service_type_code": "Cleanning", "service_details": "Satisfied"}, {"thing_id": 10, "organization_id": 8, "type_of_thing_code": "Commen", "service_type_code": "Check", "service_details": "Satisfied"}, {"thing_id": 14, "organization_id": 10, "type_of_thing_code": "Furniture", "service_type_code": "Cleanning", "service_details": "Satisfied"}, {"thing_id": 26, "organization_id": 8, "type_of_thing_code": "Electronics", "service_type_code": "Cleanning", "service_details": "Unsatisfied"}, {"thing_id": 35, "organization_id": 7, "type_of_thing_code": "Electronics", "service_type_code": "Cleanning", "service_details": "Satisfied"}, {"thing_id": 45, "organization_id": 8, "type_of_thing_code": "Commen", "service_type_code": "Check", "service_details": "Satisfied"}, {"thing_id": 46, "organization_id": 8, "type_of_thing_code": "Commen", "service_type_code": "Check", "service_details": "Satisfied"}, {"thing_id": 47, "organization_id": 10, "type_of_thing_code": "Commen", "service_type_code": "Cleanning", "service_details": "Satisfied"}, {"thing_id": 58, "organization_id": 8, "type_of_thing_code": "Electronics", "service_type_code": "Check", "service_details": "Satisfied"}, {"thing_id": 68, "organization_id": 10, "type_of_thing_code": "Commen", "service_type_code": "Cleanning", "service_details": "Unsatisfied"}, {"thing_id": 80, "organization_id": 8, "type_of_thing_code": "Furniture", "service_type_code": "Check", "service_details": "Unsatisfied"}, {"thing_id": 84, "organization_id": 8, "type_of_thing_code": "Commen", "service_type_code": "Check", "service_details": "Unsatisfied"}, {"thing_id": 85, "organization_id": 8, "type_of_thing_code": "Commen", "service_type_code": "Cleanning", "service_details": "Unsatisfied"}, {"thing_id": 92, "organization_id": 7, "type_of_thing_code": "Commen", "service_type_code": "Check", "service_details": "Unsatisfied"}]}, "correct_code": "-- Load local_govt_and_lot__timed_locations_of_things data\ntimed_locations_of_things = load(\"timed_locations_of_things\")\n\nfiltered_timed_locations_of_things = timed_locations_of_things\n |> filter(date_and_time == \"2016-12-29 00:39:19\")\n |> filter(thing_id <= 13)\n |> select(thing_id, date_and_time, location_code)\n\nsummary = filtered_timed_locations_of_things\n |> group_by(date_and_time)\n |> aggregate(total_thing_id: sum(thing_id), count: count())\n\nresult = summary\n |> sort_by(total_thing_id, desc)\n |> take(3)\n\nemit result", "buggy_code": "-- Load local_govt_and_lot__timed_locations_of_things data\ntimed_locations_of_things = load(\"timed_locations_of_things\")\n\nfiltered_timed_locations_of_things = timed_locations_of_things\n |> filter(date_and_time == \"2016-12-29 00:39:19\")\n |> filter(thing_id <= 13)\n |> select(thing_id, date_and_time, location_code)\n\nsummary = filtered_timed_locations_of_things\n |> group_by(date_and_time)\n |> aggregate(total_thing_id: count(thing_id), count: count())\n\nresult = summary\n |> sort_by(total_thing_id, desc)\n |> take(3)\n\nemit result", "expected_output": [{"date_and_time": "2016-12-29 00:39:19", "total_thing_id": 10, "count": 1}], "bug_info": [{"category": "wrong_arg", "description": "Wrong aggregate function: 'sum' \u2192 'count'", "line_num": 11, "original": "|> aggregate(total_thing_id: sum(thing_id), count: count())", "mutated": "|> aggregate(total_thing_id: count(thing_id), count: count())"}], "difficulty": "medium", "domain": "local_govt_and_lot__timed_locations_of_things", "num_nodes": 4, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_medium | {"datasets": {"catalog_contents_additional_attributes": [{"catalog_entry_id": 5, "catalog_level_number": 8, "attribute_id": 4, "attribute_value": "1"}, {"catalog_entry_id": 15, "catalog_level_number": 9, "attribute_id": 3, "attribute_value": "0"}, {"catalog_entry_id": 11, "catalog_level_number": 1, "attribute_id": 2, "attribute_value": "0"}, {"catalog_entry_id": 12, "catalog_level_number": 1, "attribute_id": 4, "attribute_value": "0"}, {"catalog_entry_id": 1, "catalog_level_number": 8, "attribute_id": 3, "attribute_value": "1"}, {"catalog_entry_id": 8, "catalog_level_number": 1, "attribute_id": 3, "attribute_value": "1"}, {"catalog_entry_id": 14, "catalog_level_number": 9, "attribute_id": 2, "attribute_value": "0"}, {"catalog_entry_id": 15, "catalog_level_number": 9, "attribute_id": 2, "attribute_value": "0"}, {"catalog_entry_id": 15, "catalog_level_number": 1, "attribute_id": 3, "attribute_value": "1"}, {"catalog_entry_id": 1, "catalog_level_number": 8, "attribute_id": 4, "attribute_value": "0"}, {"catalog_entry_id": 11, "catalog_level_number": 1, "attribute_id": 3, "attribute_value": "1"}, {"catalog_entry_id": 8, "catalog_level_number": 9, "attribute_id": 3, "attribute_value": "0"}, {"catalog_entry_id": 2, "catalog_level_number": 8, "attribute_id": 4, "attribute_value": "1"}, {"catalog_entry_id": 6, "catalog_level_number": 1, "attribute_id": 1, "attribute_value": "1"}, {"catalog_entry_id": 4, "catalog_level_number": 8, "attribute_id": 4, "attribute_value": "0"}], "catalog_contents": [{"catalog_entry_id": 1, "catalog_level_number": 1, "parent_entry_id": 5, "previous_entry_id": 9, "next_entry_id": 7, "catalog_entry_name": "Cola", "product_stock_number": "89 cp", "price_in_dollars": 200.78, "price_in_euros": 159.84, "price_in_pounds": 172.17, "capacity": "1", "length": "3", "height": "9", "width": "5"}, {"catalog_entry_id": 2, "catalog_level_number": 8, "parent_entry_id": 6, "previous_entry_id": 9, "next_entry_id": 8, "catalog_entry_name": "Root beer", "product_stock_number": "37 hq", "price_in_dollars": 687.59, "price_in_euros": 590.11, "price_in_pounds": 471.78, "capacity": "8", "length": "6", "height": "5", "width": "6"}, {"catalog_entry_id": 3, "catalog_level_number": 8, "parent_entry_id": 6, "previous_entry_id": 6, "next_entry_id": 1, "catalog_entry_name": "Cream Soda", "product_stock_number": "52 ee", "price_in_dollars": 360.5, "price_in_euros": 202.32, "price_in_pounds": 110.32, "capacity": "5", "length": "9", "height": "7", "width": "8"}, {"catalog_entry_id": 4, "catalog_level_number": 1, "parent_entry_id": 7, "previous_entry_id": 8, "next_entry_id": 6, "catalog_entry_name": "Carbonated Water", "product_stock_number": "15 mr", "price_in_dollars": 667.89, "price_in_euros": 458.45, "price_in_pounds": 349.01, "capacity": "8", "length": "6", "height": "2", "width": "1"}, {"catalog_entry_id": 5, "catalog_level_number": 9, "parent_entry_id": 4, "previous_entry_id": 7, "next_entry_id": 6, "catalog_entry_name": "Ginger Beer", "product_stock_number": "42 cp", "price_in_dollars": 616.22, "price_in_euros": 537.66, "price_in_pounds": 405.75, "capacity": "5", "length": "5", "height": "7", "width": "9"}, {"catalog_entry_id": 6, "catalog_level_number": 1, "parent_entry_id": 3, "previous_entry_id": 4, "next_entry_id": 8, "catalog_entry_name": "Tizer", "product_stock_number": "61 py", "price_in_dollars": 642.37, "price_in_euros": 434.21, "price_in_pounds": 331.43, "capacity": "6", "length": "6", "height": "7", "width": "1"}, {"catalog_entry_id": 7, "catalog_level_number": 9, "parent_entry_id": 7, "previous_entry_id": 3, "next_entry_id": 3, "catalog_entry_name": "Vimto", "product_stock_number": "01 ap", "price_in_dollars": 745.02, "price_in_euros": 510.32, "price_in_pounds": 497.4, "capacity": "6", "length": "9", "height": "6", "width": "5"}, {"catalog_entry_id": 8, "catalog_level_number": 8, "parent_entry_id": 6, "previous_entry_id": 5, "next_entry_id": 3, "catalog_entry_name": "Ramune", "product_stock_number": "53 bg", "price_in_dollars": 574.35, "price_in_euros": 441.82, "price_in_pounds": 440.52, "capacity": "4", "length": "4", "height": "7", "width": "5"}, {"catalog_entry_id": 9, "catalog_level_number": 1, "parent_entry_id": 7, "previous_entry_id": 9, "next_entry_id": 9, "catalog_entry_name": "Sprite Lemo", "product_stock_number": "24 ec", "price_in_dollars": 952.37, "price_in_euros": 703.17, "price_in_pounds": 433.82, "capacity": "8", "length": "7", "height": "1", "width": "3"}, {"catalog_entry_id": 10, "catalog_level_number": 8, "parent_entry_id": 5, "previous_entry_id": 6, "next_entry_id": 6, "catalog_entry_name": "Dr Pepper", "product_stock_number": "26 op", "price_in_dollars": 777.41, "price_in_euros": 616.54, "price_in_pounds": 572.41, "capacity": "1", "length": "6", "height": "1", "width": "6"}, {"catalog_entry_id": 11, "catalog_level_number": 1, "parent_entry_id": 3, "previous_entry_id": 6, "next_entry_id": 9, "catalog_entry_name": "Diet Pepsi", "product_stock_number": "49 jg", "price_in_dollars": 808.31, "price_in_euros": 643.77, "price_in_pounds": 515.62, "capacity": "9", "length": "8", "height": "3", "width": "3"}, {"catalog_entry_id": 12, "catalog_level_number": 8, "parent_entry_id": 4, "previous_entry_id": 5, "next_entry_id": 3, "catalog_entry_name": "Diet Mountain Dew", "product_stock_number": "96 zx", "price_in_dollars": 883.43, "price_in_euros": 752.87, "price_in_pounds": 678.01, "capacity": "8", "length": "8", "height": "1", "width": "3"}, {"catalog_entry_id": 13, "catalog_level_number": 1, "parent_entry_id": 5, "previous_entry_id": 9, "next_entry_id": 1, "catalog_entry_name": "Mountain Dew", "product_stock_number": "49 cz", "price_in_dollars": 475.79, "price_in_euros": 457.4, "price_in_pounds": 335.63, "capacity": "7", "length": "8", "height": "4", "width": "5"}, {"catalog_entry_id": 14, "catalog_level_number": 9, "parent_entry_id": 3, "previous_entry_id": 5, "next_entry_id": 8, "catalog_entry_name": "Fenta Orange", "product_stock_number": "65 wc", "price_in_dollars": 415.92, "price_in_euros": 385.85, "price_in_pounds": 371.9, "capacity": "7", "length": "4", "height": "3", "width": "7"}, {"catalog_entry_id": 15, "catalog_level_number": 1, "parent_entry_id": 6, "previous_entry_id": 8, "next_entry_id": 9, "catalog_entry_name": "Wanglaoji", "product_stock_number": "51 kr", "price_in_dollars": 533.6, "price_in_euros": 498.62, "price_in_pounds": 422.71, "capacity": "4", "length": "5", "height": "8", "width": "8"}]}, "correct_code": "-- Load product_catalog__catalog_contents_additional_attributes data\ncatalog_contents_additional_attributes = load(\"catalog_contents_additional_attributes\")\n\nfiltered_catalog_contents_additional_attributes = catalog_contents_additional_attributes\n |> filter(catalog_entry_id <= 6)\n\nsummary = filtered_catalog_contents_additional_attributes\n |> group_by(attribute_value)\n |> aggregate(max_catalog_entry_id: max(catalog_entry_id), count: count())\n\nresult = summary\n |> sort_by(max_catalog_entry_id, asc)\n |> take(10)\n\nemit result", "buggy_code": "-- Load product_catalog__catalog_contents_additional_attributes data\ncatalog_contents_additional_attributes = load(\"catalog_contents_additional_attributes\")\n\nfiltered_catalog_contents_additional_attributes = catalog_contents_additional_attributes\n |> filter(catalog_entry_id <== 6)\n\nsummary = filtered_catalog_contents_additional_attributes\n |> group_by(attribute_value)\n |> aggregate(max_catalog_entry_id: max(catalog_entry_id), count: count())\n\nresult = summary\n |> sort_by(max_catalog_entry_id, asc)\n |> take(10)\n\nemit result", "expected_output": [{"attribute_value": "0", "max_catalog_entry_id": 4, "count": 2}, {"attribute_value": "1", "max_catalog_entry_id": 6, "count": 4}], "bug_info": [{"category": "wrong_arg", "description": "Wrong comparison operator: '<' \u2192 '<='", "line_num": 5, "original": "|> filter(catalog_entry_id <= 6)", "mutated": "|> filter(catalog_entry_id <== 6)"}], "difficulty": "medium", "domain": "product_catalog__catalog_contents_additional_attributes", "num_nodes": 4, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_medium | {"datasets": {"order_deliveries": [{"location_code": "27 City Rd", "actual_order_id": 11, "delivery_status_code": "Ready", "driver_employee_id": 6, "truck_id": 11, "delivery_date": "2018-03-21 00:57:22"}, {"location_code": "27 City Rd", "actual_order_id": 1, "delivery_status_code": "On Road", "driver_employee_id": 4, "truck_id": 10, "delivery_date": "2018-02-26 01:32:49"}, {"location_code": "27 City Rd", "actual_order_id": 3, "delivery_status_code": "Ready", "driver_employee_id": 1, "truck_id": 2, "delivery_date": "2018-03-08 17:17:12"}, {"location_code": "73 Nancy Av", "actual_order_id": 2, "delivery_status_code": "Delivered", "driver_employee_id": 12, "truck_id": 10, "delivery_date": "2018-03-17 19:42:08"}, {"location_code": "73 Nancy Av", "actual_order_id": 2, "delivery_status_code": "On Road", "driver_employee_id": 1, "truck_id": 6, "delivery_date": "2018-03-05 03:03:24"}, {"location_code": "34 Benz St", "actual_order_id": 14, "delivery_status_code": "Delivered", "driver_employee_id": 11, "truck_id": 6, "delivery_date": "2018-03-12 20:45:27"}, {"location_code": "73 Nancy Av", "actual_order_id": 6, "delivery_status_code": "On Road", "driver_employee_id": 11, "truck_id": 11, "delivery_date": "2018-03-22 22:09:56"}, {"location_code": "34 Benz St", "actual_order_id": 6, "delivery_status_code": "Delivered", "driver_employee_id": 2, "truck_id": 10, "delivery_date": "2018-03-06 22:39:17"}, {"location_code": "34 Benz St", "actual_order_id": 5, "delivery_status_code": "Delivered", "driver_employee_id": 14, "truck_id": 6, "delivery_date": "2018-03-02 09:03:13"}, {"location_code": "73 Nancy Av", "actual_order_id": 8, "delivery_status_code": "Ready", "driver_employee_id": 13, "truck_id": 4, "delivery_date": "2018-03-17 09:09:06"}, {"location_code": "58 Roof Av", "actual_order_id": 9, "delivery_status_code": "Ready", "driver_employee_id": 3, "truck_id": 9, "delivery_date": "2018-02-26 13:22:53"}, {"location_code": "58 Roof Av", "actual_order_id": 5, "delivery_status_code": "Ready", "driver_employee_id": 8, "truck_id": 1, "delivery_date": "2018-03-20 20:36:44"}, {"location_code": "58 Roof Av", "actual_order_id": 9, "delivery_status_code": "Ready", "driver_employee_id": 14, "truck_id": 5, "delivery_date": "2018-03-14 05:16:17"}, {"location_code": "58 Roof Av", "actual_order_id": 10, "delivery_status_code": "Ready", "driver_employee_id": 13, "truck_id": 11, "delivery_date": "2018-03-18 02:35:08"}, {"location_code": "34 Benz St", "actual_order_id": 4, "delivery_status_code": "On Road", "driver_employee_id": 1, "truck_id": 2, "delivery_date": "2018-03-01 00:50:45"}], "trucks": [{"truck_id": 1, "truck_licence_number": "58110", "truck_details": "Frida"}, {"truck_id": 2, "truck_licence_number": "33822", "truck_details": "Randy"}, {"truck_id": 3, "truck_licence_number": "17106", "truck_details": "Laverna"}, {"truck_id": 4, "truck_licence_number": "24474", "truck_details": "Kaya"}, {"truck_id": 5, "truck_licence_number": "63359", "truck_details": "Queen"}, {"truck_id": 6, "truck_licence_number": "25232", "truck_details": "Deon"}, {"truck_id": 7, "truck_licence_number": "92426", "truck_details": "Stacy"}, {"truck_id": 8, "truck_licence_number": "69863", "truck_details": "Rebeka"}, {"truck_id": 9, "truck_licence_number": "78683", "truck_details": "Bud"}, {"truck_id": 10, "truck_licence_number": "47865", "truck_details": "Holly"}, {"truck_id": 11, "truck_licence_number": "49160", "truck_details": "Rosamond"}, {"truck_id": 12, "truck_licence_number": "32054", "truck_details": "Ricky"}, {"truck_id": 13, "truck_licence_number": "87695", "truck_details": "Joanny"}, {"truck_id": 14, "truck_licence_number": "75871", "truck_details": "Luisa"}, {"truck_id": 15, "truck_licence_number": "89343", "truck_details": "Efren"}]}, "correct_code": "-- Load customer_deliveries__order_deliveries data\norder_deliveries = load(\"order_deliveries\")\n\nfiltered_order_deliveries = order_deliveries\n |> filter(location_code == \"27 City Rd\")\n |> select(location_code, actual_order_id, driver_employee_id)\n\nsummary = filtered_order_deliveries\n |> group_by(location_code)\n |> aggregate(max_driver_employee_id: max(driver_employee_id), count: count())\n\nresult = summary\n |> sort_by(count, asc)\n |> take(3)\n\nemit result", "buggy_code": "-- Load customer_deliveries__order_deliveries data\norder_deliveries = load(\"order_deliveries\")\n\nfiltered_order_deliveries = order_deliveries\n |> filter(location_code == \"27 City R\")\n |> select(location_code, actual_order_id, driver_employee_id)\n\nsummary = filtered_order_deliveries\n |> group_by(location_code)\n |> aggregate(max_driver_employee_id: max(driver_employee_id), count: count())\n\nresult = summary\n |> sort_by(count, asc)\n |> take(3)\n\nemit result", "expected_output": [{"location_code": "27 City Rd", "max_driver_employee_id": 6, "count": 3}], "bug_info": [{"category": "logic_bug", "description": "Wrong filter value: '27 City Rd' \u2192 '27 City R'", "line_num": 5, "original": "|> filter(location_code == \"27 City Rd\")", "mutated": "|> filter(location_code == \"27 City R\")"}], "difficulty": "medium", "domain": "customer_deliveries__order_deliveries", "num_nodes": 4, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_medium | {"datasets": {"regular_orders": [{"regular_order_id": 1, "distributer_id": 12}, {"regular_order_id": 2, "distributer_id": 15}, {"regular_order_id": 3, "distributer_id": 6}, {"regular_order_id": 4, "distributer_id": 3}, {"regular_order_id": 5, "distributer_id": 8}, {"regular_order_id": 6, "distributer_id": 14}, {"regular_order_id": 7, "distributer_id": 2}, {"regular_order_id": 8, "distributer_id": 15}, {"regular_order_id": 9, "distributer_id": 10}, {"regular_order_id": 10, "distributer_id": 7}, {"regular_order_id": 11, "distributer_id": 3}, {"regular_order_id": 12, "distributer_id": 1}, {"regular_order_id": 13, "distributer_id": 1}, {"regular_order_id": 14, "distributer_id": 15}, {"regular_order_id": 15, "distributer_id": 15}], "customers": [{"customer_id": 1, "payment_method": "Visa", "customer_name": "Ron Emard", "customer_phone": "1-382-503-5179x53639", "customer_email": "shaniya45@example.net", "date_became_customer": "2011-04-25 22:20:35"}, {"customer_id": 2, "payment_method": "MasterCard", "customer_name": "Gabe Schroeder", "customer_phone": "1-728-537-4293x0885", "customer_email": "alexandra91@example.net", "date_became_customer": "2011-10-17 16:08:25"}, {"customer_id": 3, "payment_method": "Discover", "customer_name": "Candace Schneider", "customer_phone": "940.575.3682x7959", "customer_email": "tkassulke@example.com", "date_became_customer": "2012-01-11 21:17:01"}, {"customer_id": 4, "payment_method": "Visa", "customer_name": "Jaden Lang", "customer_phone": "361.151.3489x7272", "customer_email": "dedric17@example.org", "date_became_customer": "2009-12-29 17:38:10"}, {"customer_id": 5, "payment_method": "Visa", "customer_name": "Geovanni Grady", "customer_phone": "1-005-644-2495", "customer_email": "elmira.langworth@example.org", "date_became_customer": "2017-05-21 07:09:55"}, {"customer_id": 6, "payment_method": "Visa", "customer_name": "Dr. Karine Farrell", "customer_phone": "+49(2)0677806107", "customer_email": "reichel.winnifred@example.org", "date_became_customer": "2010-11-06 08:42:56"}, {"customer_id": 7, "payment_method": "Discover", "customer_name": "Emmanuel Reilly", "customer_phone": "129.959.6420", "customer_email": "gleichner.ethelyn@example.net", "date_became_customer": "2013-11-29 06:15:22"}, {"customer_id": 8, "payment_method": "MasterCard", "customer_name": "Keenan Kuhic", "customer_phone": "686-517-9923x348", "customer_email": "dallin76@example.org", "date_became_customer": "2013-04-09 18:17:05"}, {"customer_id": 9, "payment_method": "American", "customer_name": "Rusty Morar", "customer_phone": "1-123-197-9677x7194", "customer_email": "njenkins@example.org", "date_became_customer": "2015-09-09 09:29:06"}, {"customer_id": 10, "payment_method": "Visa", "customer_name": "Lila Howe", "customer_phone": "1-492-284-1097", "customer_email": "leann.hamill@example.org", "date_became_customer": "2014-02-04 04:51:58"}, {"customer_id": 11, "payment_method": "Visa", "customer_name": "Amalia Hudson DDS", "customer_phone": "003-991-1506x483", "customer_email": "danika49@example.com", "date_became_customer": "2014-02-25 19:39:51"}, {"customer_id": 12, "payment_method": "Discover", "customer_name": "Verda Streich", "customer_phone": "06730471330", "customer_email": "xgraham@example.org", "date_became_customer": "2008-10-12 12:19:27"}, {"customer_id": 13, "payment_method": "Discover", "customer_name": "Patience Yundt", "customer_phone": "969-208-8932x715", "customer_email": "kira82@example.com", "date_became_customer": "2017-03-25 18:48:04"}, {"customer_id": 14, "payment_method": "Visa", "customer_name": "Annabell Walsh", "customer_phone": "(881)096-1281x6448", "customer_email": "adriana83@example.org", "date_became_customer": "2017-06-30 19:02:11"}, {"customer_id": 15, "payment_method": "Visa", "customer_name": "Aracely Borer V", "customer_phone": "531-617-3230", "customer_email": "rollin95@example.net", "date_became_customer": "2015-09-13 22:39:50"}]}, "correct_code": "-- Load customer_deliveries__regular_orders data\nregular_orders = load(\"regular_orders\")\n |> select(distributer_id, regular_order_id)\n\n-- Load lookup data\ncustomers = load(\"customers\")\n\nenriched = join(regular_orders, customers, on: distributer_id == customer_id)\n |> compute(computed_val: regular_order_id + distributer_id)\n\nresult = enriched\n |> sort_by(distributer_id, asc)\n |> take(5)\n\nemit result", "buggy_code": "-- Load customer_deliveries__regular_orders data\nregular_orders = load(\"regular_orders\")\n |> select(distributer_id, computed_val)\n\n-- Load lookup data\ncustomers = load(\"customers\")\n\nenriched = join(regular_orders, customers, on: distributer_id == customer_id)\n |> compute(computed_val: regular_order_id + distributer_id)\n\nresult = enriched\n |> sort_by(distributer_id, asc)\n |> take(5)\n\nemit result", "expected_output": [{"distributer_id": 1, "regular_order_id": 12, "customer_id": 1, "payment_method": "Visa", "customer_name": "Ron Emard", "customer_phone": "1-382-503-5179x53639", "customer_email": "shaniya45@example.net", "date_became_customer": "2011-04-25 22:20:35", "computed_val": 13}, {"distributer_id": 1, "regular_order_id": 13, "customer_id": 1, "payment_method": "Visa", "customer_name": "Ron Emard", "customer_phone": "1-382-503-5179x53639", "customer_email": "shaniya45@example.net", "date_became_customer": "2011-04-25 22:20:35", "computed_val": 14}, {"distributer_id": 2, "regular_order_id": 7, "customer_id": 2, "payment_method": "MasterCard", "customer_name": "Gabe Schroeder", "customer_phone": "1-728-537-4293x0885", "customer_email": "alexandra91@example.net", "date_became_customer": "2011-10-17 16:08:25", "computed_val": 9}, {"distributer_id": 3, "regular_order_id": 4, "customer_id": 3, "payment_method": "Discover", "customer_name": "Candace Schneider", "customer_phone": "940.575.3682x7959", "customer_email": "tkassulke@example.com", "date_became_customer": "2012-01-11 21:17:01", "computed_val": 7}, {"distributer_id": 3, "regular_order_id": 11, "customer_id": 3, "payment_method": "Discover", "customer_name": "Candace Schneider", "customer_phone": "940.575.3682x7959", "customer_email": "tkassulke@example.com", "date_became_customer": "2012-01-11 21:17:01", "computed_val": 14}], "bug_info": [{"category": "wrong_col", "description": "Wrong column reference: 'regular_order_id' \u2192 'computed_val'", "line_num": 3, "original": "|> select(distributer_id, regular_order_id)", "mutated": "|> select(distributer_id, computed_val)"}], "difficulty": "medium", "domain": "customer_deliveries__regular_orders", "num_nodes": 4, "has_join": true} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_medium | {"datasets": {"results": [{"resultid": 1, "raceid": 18, "driverid": 1, "constructorid": 1, "number": 22, "grid": 1, "position": "1", "positiontext": "1", "positionorder": 1, "points": 10.0, "laps": "58", "time": "34:50.6", "milliseconds": "5690616", "fastestlap": "39", "rank": "2", "fastestlaptime": "01:27.5", "fastestlapspeed": "218.3", "statusid": 1}, {"resultid": 2, "raceid": 18, "driverid": 2, "constructorid": 2, "number": 3, "grid": 5, "position": "2", "positiontext": "2", "positionorder": 2, "points": 8.0, "laps": "58", "time": "5.478", "milliseconds": "5696094", "fastestlap": "41", "rank": "3", "fastestlaptime": "01:27.7", "fastestlapspeed": "217.586", "statusid": 1}, {"resultid": 3, "raceid": 18, "driverid": 3, "constructorid": 3, "number": 7, "grid": 7, "position": "3", "positiontext": "3", "positionorder": 3, "points": 6.0, "laps": "58", "time": "8.163", "milliseconds": "5698779", "fastestlap": "41", "rank": "5", "fastestlaptime": "01:28.1", "fastestlapspeed": "216.719", "statusid": 1}, {"resultid": 4, "raceid": 18, "driverid": 4, "constructorid": 4, "number": 5, "grid": 11, "position": "4", "positiontext": "4", "positionorder": 4, "points": 5.0, "laps": "58", "time": "17.181", "milliseconds": "5707797", "fastestlap": "58", "rank": "7", "fastestlaptime": "01:28.6", "fastestlapspeed": "215.464", "statusid": 1}, {"resultid": 5, "raceid": 18, "driverid": 5, "constructorid": 1, "number": 23, "grid": 3, "position": "5", "positiontext": "5", "positionorder": 5, "points": 4.0, "laps": "58", "time": "18.014", "milliseconds": "5708630", "fastestlap": "43", "rank": "1", "fastestlaptime": "01:27.4", "fastestlapspeed": "218.385", "statusid": 1}, {"resultid": 6, "raceid": 18, "driverid": 6, "constructorid": 3, "number": 8, "grid": 13, "position": "6", "positiontext": "6", "positionorder": 6, "points": 3.0, "laps": "57", "time": "", "milliseconds": "", "fastestlap": "50", "rank": "14", "fastestlaptime": "01:29.6", "fastestlapspeed": "212.974", "statusid": 11}, {"resultid": 7, "raceid": 18, "driverid": 7, "constructorid": 5, "number": 14, "grid": 17, "position": "7", "positiontext": "7", "positionorder": 7, "points": 2.0, "laps": "55", "time": "", "milliseconds": "", "fastestlap": "22", "rank": "12", "fastestlaptime": "01:29.5", "fastestlapspeed": "213.224", "statusid": 5}, {"resultid": 8, "raceid": 18, "driverid": 8, "constructorid": 6, "number": 1, "grid": 15, "position": "8", "positiontext": "8", "positionorder": 8, "points": 1.0, "laps": "53", "time": "", "milliseconds": "", "fastestlap": "20", "rank": "4", "fastestlaptime": "01:27.9", "fastestlapspeed": "217.18", "statusid": 5}, {"resultid": 9, "raceid": 18, "driverid": 9, "constructorid": 2, "number": 4, "grid": 2, "position": "", "positiontext": "R", "positionorder": 9, "points": 0.0, "laps": "47", "time": "", "milliseconds": "", "fastestlap": "15", "rank": "9", "fastestlaptime": "01:28.8", "fastestlapspeed": "215.1", "statusid": 4}, {"resultid": 10, "raceid": 18, "driverid": 10, "constructorid": 7, "number": 12, "grid": 18, "position": "", "positiontext": "R", "positionorder": 10, "points": 0.0, "laps": "43", "time": "", "milliseconds": "", "fastestlap": "23", "rank": "13", "fastestlaptime": "01:29.6", "fastestlapspeed": "213.166", "statusid": 3}, {"resultid": 11, "raceid": 18, "driverid": 11, "constructorid": 8, "number": 18, "grid": 19, "position": "", "positiontext": "R", "positionorder": 11, "points": 0.0, "laps": "32", "time": "", "milliseconds": "", "fastestlap": "24", "rank": "15", "fastestlaptime": "01:30.9", "fastestlapspeed": "210.038", "statusid": 7}, {"resultid": 12, "raceid": 18, "driverid": 12, "constructorid": 4, "number": 6, "grid": 20, "position": "", "positiontext": "R", "positionorder": 12, "points": 0.0, "laps": "30", "time": "", "milliseconds": "", "fastestlap": "20", "rank": "16", "fastestlaptime": "01:31.4", "fastestlapspeed": "208.907", "statusid": 8}, {"resultid": 13, "raceid": 18, "driverid": 13, "constructorid": 6, "number": 2, "grid": 4, "position": "", "positiontext": "R", "positionorder": 13, "points": 0.0, "laps": "29", "time": "", "milliseconds": "", "fastestlap": "23", "rank": "6", "fastestlaptime": "01:28.2", "fastestlapspeed": "216.51", "statusid": 5}, {"resultid": 14, "raceid": 18, "driverid": 14, "constructorid": 9, "number": 9, "grid": 8, "position": "", "positiontext": "R", "positionorder": 14, "points": 0.0, "laps": "25", "time": "", "milliseconds": "", "fastestlap": "21", "rank": "11", "fastestlaptime": "01:29.5", "fastestlapspeed": "213.3", "statusid": 4}, {"resultid": 15, "raceid": 18, "driverid": 15, "constructorid": 7, "number": 11, "grid": 6, "position": "", "positiontext": "R", "positionorder": 15, "points": 0.0, "laps": "19", "time": "", "milliseconds": "", "fastestlap": "18", "rank": "10", "fastestlaptime": "01:29.3", "fastestlapspeed": "213.758", "statusid": 10}, {"resultid": 16, "raceid": 18, "driverid": 16, "constructorid": 10, "number": 20, "grid": 22, "position": "", "positiontext": "R", "positionorder": 16, "points": 0.0, "laps": "8", "time": "", "milliseconds": "", "fastestlap": "8", "rank": "17", "fastestlaptime": "01:32.0", "fastestlapspeed": "207.461", "statusid": 9}, {"resultid": 17, "raceid": 18, "driverid": 17, "constructorid": 9, "number": 10, "grid": 14, "position": "", "positiontext": "R", "positionorder": 17, "points": 0.0, "laps": "0", "time": "", "milliseconds": "", "fastestlap": "", "rank": "", "fastestlaptime": "", "fastestlapspeed": "", "statusid": 4}, {"resultid": 18, "raceid": 18, "driverid": 18, "constructorid": 11, "number": 16, "grid": 12, "position": "", "positiontext": "R", "positionorder": 18, "points": 0.0, "laps": "0", "time": "", "milliseconds": "", "fastestlap": "", "rank": "", "fastestlaptime": "", "fastestlapspeed": "", "statusid": 4}, {"resultid": 19, "raceid": 18, "driverid": 19, "constructorid": 8, "number": 19, "grid": 21, "position": "", "positiontext": "R", "positionorder": 19, "points": 0.0, "laps": "0", "time": "", "milliseconds": "", "fastestlap": "", "rank": "", "fastestlaptime": "", "fastestlapspeed": "", "statusid": 4}, {"resultid": 20, "raceid": 18, "driverid": 20, "constructorid": 5, "number": 15, "grid": 9, "position": "", "positiontext": "R", "positionorder": 20, "points": 0.0, "laps": "0", "time": "", "milliseconds": "", "fastestlap": "", "rank": "", "fastestlaptime": "", "fastestlapspeed": "", "statusid": 4}, {"resultid": 21, "raceid": 18, "driverid": 21, "constructorid": 10, "number": 21, "grid": 16, "position": "", "positiontext": "R", "positionorder": 21, "points": 0.0, "laps": "0", "time": "", "milliseconds": "", "fastestlap": "", "rank": "", "fastestlaptime": "", "fastestlapspeed": "", "statusid": 4}, {"resultid": 22, "raceid": 18, "driverid": 22, "constructorid": 11, "number": 17, "grid": 10, "position": "", "positiontext": "D", "positionorder": 22, "points": 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{"constructorid": 148, "constructorref": "frazer_nash", "name": "Frazer Nash", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Frazer_Nash"}, {"constructorid": 149, "constructorref": "sherman", "name": "Sherman", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Sherman_(constructor)"}, {"constructorid": 150, "constructorref": "deidt", "name": "Deidt", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Deidt"}, {"constructorid": 151, "constructorref": "era", "name": "ERA", "nationality": "British", "url": "http://en.wikipedia.org/wiki/English_Racing_Automobiles"}, {"constructorid": 152, "constructorref": "butterworth", "name": "Aston Butterworth", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Aston_Butterworth"}, {"constructorid": 153, "constructorref": "cisitalia", "name": "Cisitalia", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/Cisitalia"}, {"constructorid": 154, "constructorref": "lago", "name": "Talbot-Lago", "nationality": "French", "url": "http://en.wikipedia.org/wiki/Talbot-Lago"}, {"constructorid": 155, "constructorref": "hall", "name": "Hall", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Hall_(constructor)"}, {"constructorid": 156, "constructorref": "marchese", "name": "Marchese", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Marchese_(constructor)"}, {"constructorid": 157, "constructorref": "langley", "name": "Langley", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Langley_(constructor)"}, {"constructorid": 158, "constructorref": "rae", "name": "Rae", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Rae_(motorsport)"}, {"constructorid": 159, "constructorref": "olson", "name": "Olson", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Olson_(constructor)"}, {"constructorid": 160, "constructorref": "wetteroth", "name": "Wetteroth", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Wetteroth"}, {"constructorid": 161, "constructorref": "adams", "name": "Adams", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Adams_(constructor)"}, {"constructorid": 162, "constructorref": "snowberger", "name": "Snowberger", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Snowberger"}, {"constructorid": 163, "constructorref": "milano", "name": "Milano", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/Scuderia_Milano"}, {"constructorid": 164, "constructorref": "hrt", "name": "HRT", "nationality": "Spanish", "url": "http://en.wikipedia.org/wiki/Hispania_Racing"}, {"constructorid": 166, "constructorref": "virgin", "name": "Virgin", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Virgin_Racing"}, {"constructorid": 167, "constructorref": "cooper-maserati", "name": "Cooper-Maserati", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 168, "constructorref": "cooper-osca", "name": "Cooper-OSCA", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 169, "constructorref": "cooper-borgward", "name": "Cooper-Borgward", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 170, "constructorref": "cooper-climax", "name": "Cooper-Climax", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 171, "constructorref": "cooper-castellotti", "name": "Cooper-Castellotti", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 172, "constructorref": "lotus-climax", "name": "Lotus-Climax", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_Lotus"}, {"constructorid": 173, "constructorref": "lotus-maserati", "name": "Lotus-Maserati", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_Lotus"}, {"constructorid": 174, "constructorref": "de_tomaso-osca", "name": "De Tomaso-Osca", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/De_Tomaso"}, {"constructorid": 175, "constructorref": "de_tomaso-alfa_romeo", "name": "De Tomaso-Alfa Romeo", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/De_Tomaso"}, {"constructorid": 176, "constructorref": "lotus-brm", "name": "Lotus-BRM", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_Lotus"}, {"constructorid": 177, "constructorref": "lotus-borgward", "name": "Lotus-Borgward", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_Lotus"}, {"constructorid": 178, "constructorref": "cooper-alfa_romeo", "name": "Cooper-Alfa Romeo", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 179, "constructorref": "de_tomaso-ferrari", "name": "De Tomaso-Ferrari", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/De_Tomaso"}, {"constructorid": 180, "constructorref": "lotus-ford", "name": "Lotus-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_Lotus"}, {"constructorid": 181, "constructorref": "brabham-brm", "name": "Brabham-BRM", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Brabham"}, {"constructorid": 182, "constructorref": "brabham-ford", "name": "Brabham-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Brabham"}, {"constructorid": 183, "constructorref": "brabham-climax", "name": "Brabham-Climax", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Brabham"}, {"constructorid": 184, "constructorref": "lds-climax", "name": "LDS-Climax", "nationality": "South African", "url": "http://en.wikipedia.org/wiki/LDS_(automobile)"}, {"constructorid": 185, "constructorref": "lds-alfa_romeo", "name": "LDS-Alfa Romeo", "nationality": "South African", "url": "http://en.wikipedia.org/wiki/LDS_(automobile)"}, {"constructorid": 186, "constructorref": "cooper-ford", "name": "Cooper-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 187, "constructorref": "mclaren-ford", "name": "McLaren-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_McLaren"}, {"constructorid": 188, "constructorref": "mclaren-seren", "name": "McLaren-Serenissima", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_McLaren"}, {"constructorid": 189, "constructorref": "eagle-climax", "name": "Eagle-Climax", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Anglo_American_Racers"}, {"constructorid": 190, "constructorref": "eagle-weslake", "name": "Eagle-Weslake", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Anglo_American_Racers"}, {"constructorid": 191, "constructorref": "brabham-repco", "name": "Brabham-Repco", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Brabham"}, {"constructorid": 192, "constructorref": "cooper-ferrari", "name": "Cooper-Ferrari", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 193, "constructorref": "cooper-ats", "name": "Cooper-ATS", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 194, "constructorref": "mclaren-brm", "name": "McLaren-BRM", "nationality": "British", "url": "http://en.wikipedia.org/wiki/McLaren_(racing)"}, {"constructorid": 195, "constructorref": "cooper-brm", "name": "Cooper-BRM", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 196, "constructorref": "matra-ford", "name": "Matra-Ford", "nationality": "French", "url": "http://en.wikipedia.org/wiki/Matra"}, {"constructorid": 197, "constructorref": "brm-ford", "name": "BRM-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/BRM"}, {"constructorid": 198, "constructorref": "mclaren-alfa_romeo", "name": "McLaren-Alfa Romeo", "nationality": "British", "url": "http://en.wikipedia.org/wiki/McLaren_(racing)"}, {"constructorid": 199, "constructorref": "march-alfa_romeo", "name": "March-Alfa Romeo", "nationality": "British", "url": "http://en.wikipedia.org/wiki/March_Engineering"}, {"constructorid": 200, "constructorref": "march-ford", "name": "March-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/March_Engineering"}, {"constructorid": 201, "constructorref": "lotus-pw", "name": "Lotus-Pratt & Whitney", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_Lotus"}, {"constructorid": 202, "constructorref": "shadow-ford", "name": "Shadow-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Shadow_Racing_Cars"}]}, "correct_code": "-- Load formula_1__results data\nresults = load(\"results\")\n\nfiltered_results = results\n |> filter(rank == \"8\")\n\nsummary = filtered_results\n |> group_by(rank)\n |> aggregate(total_positionorder: sum(positionorder), count: count())\n |> compute(computed_val: total_positionorder * count)\n\nresult = summary\n |> sort_by(count, asc)\n |> take(10)\n\nemit result", "buggy_code": "-- Load formula_1__results data\nresults = load(\"results\")\n\nfiltered_results = results\n |> filter(rank == \"8x\")\n\nsummary = filtered_results\n |> group_by(rank)\n |> aggregate(total_positionorder: sum(positionorder), count: count())\n |> compute(computed_val: total_positionorder * count)\n\nresult = summary\n |> sort_by(count, asc)\n |> take(10)\n\nemit result", "expected_output": [{"rank": "8", "total_positionorder": 95, "count": 10, "computed_val": 950}], "bug_info": [{"category": "logic_bug", "description": "Wrong filter value: '8' \u2192 '8x'", "line_num": 5, "original": "|> filter(rank == \"8\")", "mutated": "|> filter(rank == \"8x\")"}], "difficulty": "medium", "domain": "formula_1__results", "num_nodes": 4, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_medium | {"datasets": {"works_on": [{"essn": 123456789, "pno": 1, "hours": 32.5}, {"essn": 123456789, "pno": 2, "hours": 7.5}, {"essn": 666884444, "pno": 3, "hours": 40.0}, {"essn": 453453453, "pno": 1, "hours": 20.0}, {"essn": 453453453, "pno": 2, "hours": 20.0}, {"essn": 333445555, "pno": 2, "hours": 10.0}, {"essn": 333445555, "pno": 3, "hours": 10.0}, {"essn": 333445555, "pno": 10, "hours": 10.0}, {"essn": 333445555, "pno": 20, "hours": 10.0}, {"essn": 999887777, "pno": 30, "hours": 30.0}, {"essn": 999887777, "pno": 10, "hours": 10.0}, {"essn": 987987987, "pno": 10, "hours": 35.0}, {"essn": 987987987, "pno": 30, "hours": 5.0}, {"essn": 987654321, "pno": 30, "hours": 20.0}, {"essn": 987654321, "pno": 20, "hours": 15.0}, {"essn": 888665555, "pno": 20, "hours": 0}]}, "correct_code": "-- Load company_1__works_on data\nworks_on = load(\"works_on\")\n\nprocessed = works_on\n |> compute(computed_val: pno * essn)\n\nresult = processed\n |> sort_by(hours, desc)\n |> take(5)\n\nemit result", "buggy_code": "-- Load company_1__works_on data\nworks_on = load(\"works_on\")\n\nprocessed = works_on\n |> compute(computed_val: pno * essn)\n\nresult = processed\n |> sort_by(pno, desc)\n |> take(5)\n\nemit result", "expected_output": [{"essn": 666884444, "pno": 3, "hours": 40.0, "computed_val": 2000653332}, {"essn": 987987987, "pno": 10, "hours": 35.0, "computed_val": 9879879870}, {"essn": 123456789, "pno": 1, "hours": 32.5, "computed_val": 123456789}, {"essn": 999887777, "pno": 30, "hours": 30.0, "computed_val": 29996633310}, {"essn": 453453453, "pno": 1, "hours": 20.0, "computed_val": 453453453}], "bug_info": [{"category": "wrong_col", "description": "Wrong column reference: 'hours' \u2192 'pno'", "line_num": 8, "original": "|> sort_by(hours, desc)", "mutated": "|> sort_by(pno, desc)"}], "difficulty": "medium", "domain": "company_1__works_on", "num_nodes": 3, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_hard | {"datasets": {"problem_log": [{"problem_log_id": 1, "assigned_to_staff_id": 11, "problem_id": 11, "problem_category_code": "Middleware", "problem_status_code": "Solved", "log_entry_date": "2011-03-13 13:11:57", "log_entry_description": "t", "log_entry_fix": "k", "other_log_details": "p"}, {"problem_log_id": 2, "assigned_to_staff_id": 11, "problem_id": 8, "problem_category_code": "GUI", "problem_status_code": "Solved", "log_entry_date": "1976-03-31 14:03:02", "log_entry_description": "a", "log_entry_fix": "k", "other_log_details": "s"}, {"problem_log_id": 3, "assigned_to_staff_id": 12, "problem_id": 1, "problem_category_code": "GUI", "problem_status_code": "Solved", "log_entry_date": "1974-12-11 01:06:22", "log_entry_description": "b", "log_entry_fix": "j", "other_log_details": "e"}, {"problem_log_id": 4, "assigned_to_staff_id": 12, "problem_id": 12, "problem_category_code": "GUI", "problem_status_code": "Reported", "log_entry_date": "1993-04-02 11:07:29", "log_entry_description": "a", "log_entry_fix": "t", "other_log_details": "b"}, {"problem_log_id": 5, "assigned_to_staff_id": 6, "problem_id": 12, "problem_category_code": "Middleware", "problem_status_code": "Reported", "log_entry_date": "1976-09-17 09:01:12", "log_entry_description": "c", "log_entry_fix": "n", "other_log_details": "u"}, {"problem_log_id": 6, "assigned_to_staff_id": 2, "problem_id": 13, "problem_category_code": "GUI", "problem_status_code": "Solved", "log_entry_date": "1983-07-01 02:12:36", "log_entry_description": "h", "log_entry_fix": "g", "other_log_details": "n"}, {"problem_log_id": 7, "assigned_to_staff_id": 13, "problem_id": 1, "problem_category_code": "Datatabase", "problem_status_code": "Solved", "log_entry_date": "1974-09-13 00:37:26", "log_entry_description": "s", "log_entry_fix": "c", "other_log_details": "v"}, {"problem_log_id": 8, "assigned_to_staff_id": 4, "problem_id": 15, "problem_category_code": "Datatabase", "problem_status_code": "Solved", "log_entry_date": "1999-08-17 00:00:18", "log_entry_description": "j", "log_entry_fix": "h", "other_log_details": "j"}, {"problem_log_id": 9, "assigned_to_staff_id": 10, "problem_id": 13, "problem_category_code": "GUI", "problem_status_code": "Reported", "log_entry_date": "1993-06-21 22:33:35", "log_entry_description": "p", "log_entry_fix": "i", "other_log_details": "f"}, {"problem_log_id": 10, "assigned_to_staff_id": 6, "problem_id": 1, "problem_category_code": "Middleware", "problem_status_code": "Reported", "log_entry_date": "2001-05-14 10:03:53", "log_entry_description": "d", "log_entry_fix": "x", "other_log_details": "d"}, {"problem_log_id": 11, "assigned_to_staff_id": 1, "problem_id": 8, "problem_category_code": "Datatabase", "problem_status_code": "Solved", "log_entry_date": "1973-03-12 16:30:50", "log_entry_description": "w", "log_entry_fix": "k", "other_log_details": "a"}, {"problem_log_id": 12, "assigned_to_staff_id": 4, "problem_id": 10, "problem_category_code": "Middleware", "problem_status_code": "Solved", "log_entry_date": "1997-08-31 08:19:12", "log_entry_description": "c", "log_entry_fix": "y", "other_log_details": "c"}, {"problem_log_id": 13, "assigned_to_staff_id": 6, "problem_id": 10, "problem_category_code": "Middleware", "problem_status_code": "Reported", "log_entry_date": "2009-04-10 19:09:30", "log_entry_description": "q", "log_entry_fix": "t", "other_log_details": "o"}, {"problem_log_id": 14, "assigned_to_staff_id": 8, "problem_id": 4, "problem_category_code": "Datatabase", "problem_status_code": "Reported", "log_entry_date": "2011-11-12 23:30:53", "log_entry_description": "a", "log_entry_fix": "s", "other_log_details": "c"}, {"problem_log_id": 15, "assigned_to_staff_id": 5, "problem_id": 7, "problem_category_code": "GUI", "problem_status_code": "Reported", "log_entry_date": "1982-11-17 06:05:52", "log_entry_description": "v", "log_entry_fix": "o", "other_log_details": "d"}], "problem_category_codes": [{"problem_category_code": "Datatabase", "problem_category_description": "Database design or contents."}, {"problem_category_code": "GUI", "problem_category_description": "User Interface."}, {"problem_category_code": "Middleware", "problem_category_description": "Infrastructrure and Architecture"}]}, "correct_code": "-- Load tracking_software_problems__problem_log data\nproblem_log = load(\"problem_log\")\n\nfiltered_problem_log = problem_log\n |> filter(log_entry_fix == \"x\")\n\nsummary = filtered_problem_log\n |> group_by(log_entry_date)\n |> aggregate(max_problem_log_id: max(problem_log_id), count: count())\n |> compute(computed_val: max_problem_log_id - count)\n\nresult = summary\n |> sort_by(max_problem_log_id, desc)\n |> take(5)\n\nemit result", "buggy_code": "-- Load tracking_software_problems__problem_log data\nproblem_log = load(\"problem_log\")\n\nfiltered_problem_log = problem_log\n |> filter(log_entry_fix == \"xx\")\n\nsummary = filtered_problem_log\n |> group_by(log_entry_date)\n |> aggregate(max_problem_log_id: max(problem_log_id), count: count())\n |> compute(computed_val: max_problem_log_id - count)\n\nresult = summary\n |> sort_by(max_problem_log_id, desc)\n |> take(3)\n\nemit result", "expected_output": [{"log_entry_date": "2001-05-14 10:03:53", "max_problem_log_id": 10, "count": 1, "computed_val": 9}], "bug_info": [{"category": "logic_bug", "description": "Off-by-2 in take: 5 \u2192 3", "line_num": 14, "original": "|> take(5)", "mutated": "|> take(3)"}, {"category": "logic_bug", "description": "Wrong filter value: 'x' \u2192 'xx'", "line_num": 5, "original": "|> filter(log_entry_fix == \"x\")", "mutated": "|> filter(log_entry_fix == \"xx\")"}], "difficulty": "hard", "domain": "tracking_software_problems__problem_log", "num_nodes": 4, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_medium | {"datasets": {"grants": [{"grant_id": 1, "organisation_id": 10, "grant_amount": 4094.542, "grant_start_date": "2016-11-20 00:18:51", "grant_end_date": "2004-10-24 09:09:39", "other_details": "et"}, {"grant_id": 2, "organisation_id": 3, "grant_amount": 281.2446, "grant_start_date": "1985-10-09 20:08:49", "grant_end_date": "1985-06-08 00:22:07", "other_details": "occaecati"}, {"grant_id": 3, "organisation_id": 14, "grant_amount": 4515947.7015, "grant_start_date": "1970-09-19 22:53:49", "grant_end_date": "1989-03-16 18:27:16", "other_details": "et"}, {"grant_id": 4, "organisation_id": 11, "grant_amount": 330.6339, "grant_start_date": "1990-08-13 20:27:28", "grant_end_date": "2014-08-13 22:58:50", "other_details": "et"}, {"grant_id": 5, "organisation_id": 2, "grant_amount": 608413.3291, "grant_start_date": "1979-10-29 07:44:22", "grant_end_date": "1996-08-16 20:45:05", "other_details": "corrupti"}, {"grant_id": 6, "organisation_id": 8, "grant_amount": 42.8061, "grant_start_date": "2011-05-10 22:44:08", "grant_end_date": "1977-12-27 01:51:18", "other_details": "dolor"}, {"grant_id": 7, "organisation_id": 7, "grant_amount": 76977808.306, "grant_start_date": "2015-12-14 13:02:11", "grant_end_date": "1981-03-09 17:12:27", "other_details": "explicabo"}, {"grant_id": 8, "organisation_id": 10, "grant_amount": 38675408.6017, "grant_start_date": "2016-02-25 04:28:44", "grant_end_date": "1983-06-22 15:12:32", "other_details": "aliquam"}, {"grant_id": 9, "organisation_id": 8, "grant_amount": 0, "grant_start_date": "2009-07-14 18:26:05", "grant_end_date": "1982-03-11 15:27:55", "other_details": "sapiente"}, {"grant_id": 10, "organisation_id": 14, "grant_amount": 66.4203, "grant_start_date": "1986-08-26 20:49:27", "grant_end_date": "2007-09-26 19:19:26", "other_details": "veniam"}, {"grant_id": 11, "organisation_id": 5, "grant_amount": 610.7004, 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{"organisation_id": 3, "organisation_type": "RES", "organisation_details": "impedit"}, {"organisation_id": 4, "organisation_type": "SPON", "organisation_details": "eos"}, {"organisation_id": 5, "organisation_type": "SPON", "organisation_details": "tenetur"}, {"organisation_id": 6, "organisation_type": "RES", "organisation_details": "dolorem"}, {"organisation_id": 7, "organisation_type": "RES", "organisation_details": "itaque"}, {"organisation_id": 8, "organisation_type": "SPON", "organisation_details": "aperiam"}, {"organisation_id": 9, "organisation_type": "RES", "organisation_details": "a"}, {"organisation_id": 10, "organisation_type": "SPON", "organisation_details": "officiis"}, {"organisation_id": 11, "organisation_type": "SPON", "organisation_details": "eveniet"}, {"organisation_id": 12, "organisation_type": "RES", "organisation_details": "itaque"}, {"organisation_id": 13, "organisation_type": "SPON", "organisation_details": "voluptas"}, {"organisation_id": 14, "organisation_type": "RES", "organisation_details": "quo"}, {"organisation_id": 15, "organisation_type": "SPON", "organisation_details": "consequuntur"}]}, "correct_code": "-- Load tracking_grants_for_research__grants data\ngrants = load(\"grants\")\n\nfiltered_grants = grants\n |> filter(grant_start_date == \"2016-11-20 00:18:51\")\n\nsummary = filtered_grants\n |> group_by(grant_end_date)\n |> aggregate(min_grant_id: min(grant_id), count: count())\n\nresult = summary\n |> sort_by(count, asc)\n |> take(10)\n\nemit result", "buggy_code": "-- Load tracking_grants_for_research__grants data\ngrants = load(\"grants\")\n\nfiltered_grants = grants\n |> filter(grant_start_date != \"2016-11-20 00:18:51\")\n\nsummary = filtered_grants\n |> group_by(grant_end_date)\n |> aggregate(min_grant_id: min(grant_id), count: count())\n\nresult = summary\n |> sort_by(count, asc)\n |> take(8)\n\nemit result", "expected_output": [{"grant_end_date": "2004-10-24 09:09:39", "min_grant_id": 1, "count": 1}], "bug_info": [{"category": "wrong_arg", "description": "Wrong comparison operator: '==' \u2192 '!='", "line_num": 5, "original": "|> filter(grant_start_date == \"2016-11-20 00:18:51\")", "mutated": "|> filter(grant_start_date != \"2016-11-20 00:18:51\")"}, {"category": "logic_bug", "description": "Off-by-2 in take: 10 \u2192 8", "line_num": 13, "original": "|> take(10)", "mutated": "|> take(8)"}], "difficulty": "medium", "domain": "tracking_grants_for_research__grants", "num_nodes": 4, "has_join": false} |
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"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. 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"http://en.wikipedia.org/wiki/Bromme"}, {"constructorid": 140, "constructorref": "klenk", "name": "Klenk", "nationality": "German", "url": "http://en.wikipedia.org/wiki/Klenk"}, {"constructorid": 141, "constructorref": "simca", "name": "Simca", "nationality": "French", "url": "http://en.wikipedia.org/wiki/Simca"}, {"constructorid": 142, "constructorref": "turner", "name": "Turner", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Turner_(constructor)"}, {"constructorid": 143, "constructorref": "del_roy", "name": "Del Roy", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Del_Roy"}, {"constructorid": 144, "constructorref": "veritas", "name": "Veritas", "nationality": "German", "url": "http://en.wikipedia.org/wiki/Veritas_(constructor)"}, {"constructorid": 145, "constructorref": "bmw", "name": "BMW", "nationality": "German", "url": "http://en.wikipedia.org/wiki/BMW"}, {"constructorid": 146, "constructorref": "emw", "name": "EMW", "nationality": "East German", "url": "http://en.wikipedia.org/wiki/Eisenacher_Motorenwerk"}, {"constructorid": 147, "constructorref": "afm", "name": "AFM", "nationality": "German", "url": "http://en.wikipedia.org/wiki/Alex_von_Falkenhausen_Motorenbau"}, {"constructorid": 148, "constructorref": "frazer_nash", "name": "Frazer Nash", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Frazer_Nash"}, {"constructorid": 149, "constructorref": "sherman", "name": "Sherman", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Sherman_(constructor)"}, {"constructorid": 150, "constructorref": "deidt", "name": "Deidt", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Deidt"}, {"constructorid": 151, "constructorref": "era", "name": "ERA", "nationality": "British", "url": "http://en.wikipedia.org/wiki/English_Racing_Automobiles"}, {"constructorid": 152, "constructorref": "butterworth", "name": "Aston Butterworth", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Aston_Butterworth"}, {"constructorid": 153, "constructorref": "cisitalia", "name": "Cisitalia", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/Cisitalia"}, {"constructorid": 154, "constructorref": "lago", "name": "Talbot-Lago", "nationality": "French", "url": "http://en.wikipedia.org/wiki/Talbot-Lago"}, {"constructorid": 155, "constructorref": "hall", "name": "Hall", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Hall_(constructor)"}, {"constructorid": 156, "constructorref": "marchese", "name": "Marchese", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Marchese_(constructor)"}, {"constructorid": 157, "constructorref": "langley", "name": "Langley", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Langley_(constructor)"}, {"constructorid": 158, "constructorref": "rae", "name": "Rae", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Rae_(motorsport)"}, {"constructorid": 159, "constructorref": "olson", "name": "Olson", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Olson_(constructor)"}, {"constructorid": 160, "constructorref": "wetteroth", "name": "Wetteroth", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Wetteroth"}, {"constructorid": 161, "constructorref": "adams", "name": "Adams", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Adams_(constructor)"}, {"constructorid": 162, "constructorref": "snowberger", "name": "Snowberger", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Snowberger"}, {"constructorid": 163, "constructorref": "milano", "name": "Milano", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/Scuderia_Milano"}, {"constructorid": 164, "constructorref": "hrt", "name": "HRT", "nationality": "Spanish", "url": "http://en.wikipedia.org/wiki/Hispania_Racing"}, {"constructorid": 166, "constructorref": "virgin", "name": "Virgin", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Virgin_Racing"}, {"constructorid": 167, "constructorref": "cooper-maserati", "name": "Cooper-Maserati", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 168, "constructorref": "cooper-osca", "name": "Cooper-OSCA", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 169, "constructorref": "cooper-borgward", "name": "Cooper-Borgward", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 170, "constructorref": "cooper-climax", "name": "Cooper-Climax", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 171, "constructorref": "cooper-castellotti", "name": "Cooper-Castellotti", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 172, "constructorref": "lotus-climax", "name": "Lotus-Climax", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_Lotus"}, {"constructorid": 173, "constructorref": "lotus-maserati", "name": "Lotus-Maserati", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_Lotus"}, {"constructorid": 174, "constructorref": "de_tomaso-osca", "name": "De Tomaso-Osca", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/De_Tomaso"}, {"constructorid": 175, "constructorref": "de_tomaso-alfa_romeo", "name": "De Tomaso-Alfa Romeo", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/De_Tomaso"}, {"constructorid": 176, "constructorref": "lotus-brm", "name": "Lotus-BRM", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_Lotus"}, {"constructorid": 177, "constructorref": "lotus-borgward", "name": "Lotus-Borgward", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_Lotus"}, {"constructorid": 178, "constructorref": "cooper-alfa_romeo", "name": "Cooper-Alfa Romeo", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 179, "constructorref": "de_tomaso-ferrari", "name": "De Tomaso-Ferrari", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/De_Tomaso"}, {"constructorid": 180, "constructorref": "lotus-ford", "name": "Lotus-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_Lotus"}, {"constructorid": 181, "constructorref": "brabham-brm", "name": "Brabham-BRM", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Brabham"}, {"constructorid": 182, "constructorref": "brabham-ford", "name": "Brabham-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Brabham"}, {"constructorid": 183, "constructorref": "brabham-climax", "name": "Brabham-Climax", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Brabham"}, {"constructorid": 184, "constructorref": "lds-climax", "name": "LDS-Climax", "nationality": "South African", "url": "http://en.wikipedia.org/wiki/LDS_(automobile)"}, {"constructorid": 185, "constructorref": "lds-alfa_romeo", "name": "LDS-Alfa Romeo", "nationality": "South African", "url": "http://en.wikipedia.org/wiki/LDS_(automobile)"}, {"constructorid": 186, "constructorref": "cooper-ford", "name": "Cooper-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 187, "constructorref": "mclaren-ford", "name": "McLaren-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_McLaren"}, {"constructorid": 188, "constructorref": "mclaren-seren", "name": "McLaren-Serenissima", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_McLaren"}, {"constructorid": 189, "constructorref": "eagle-climax", "name": "Eagle-Climax", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Anglo_American_Racers"}, {"constructorid": 190, "constructorref": "eagle-weslake", "name": "Eagle-Weslake", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Anglo_American_Racers"}, {"constructorid": 191, "constructorref": "brabham-repco", "name": "Brabham-Repco", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Brabham"}, {"constructorid": 192, "constructorref": "cooper-ferrari", "name": "Cooper-Ferrari", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 193, "constructorref": "cooper-ats", "name": "Cooper-ATS", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 194, "constructorref": "mclaren-brm", "name": "McLaren-BRM", "nationality": "British", "url": "http://en.wikipedia.org/wiki/McLaren_(racing)"}, {"constructorid": 195, "constructorref": "cooper-brm", "name": "Cooper-BRM", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 196, "constructorref": "matra-ford", "name": "Matra-Ford", "nationality": "French", "url": "http://en.wikipedia.org/wiki/Matra"}, {"constructorid": 197, "constructorref": "brm-ford", "name": "BRM-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/BRM"}, {"constructorid": 198, "constructorref": "mclaren-alfa_romeo", "name": "McLaren-Alfa Romeo", "nationality": "British", "url": "http://en.wikipedia.org/wiki/McLaren_(racing)"}, {"constructorid": 199, "constructorref": "march-alfa_romeo", "name": "March-Alfa Romeo", "nationality": "British", "url": "http://en.wikipedia.org/wiki/March_Engineering"}, {"constructorid": 200, "constructorref": "march-ford", "name": "March-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/March_Engineering"}, {"constructorid": 201, "constructorref": "lotus-pw", "name": "Lotus-Pratt & Whitney", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_Lotus"}, {"constructorid": 202, "constructorref": "shadow-ford", "name": "Shadow-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Shadow_Racing_Cars"}]}, "correct_code": "-- Load formula_1__constructorresults data\nconstructorresults = load(\"constructorresults\")\n |> select(status, raceid, constructorresultsid)\n\nsummary = constructorresults\n |> group_by(status)\n |> aggregate(total_constructorresultsid: sum(constructorresultsid), count: count())\n\nresult = summary\n |> sort_by(total_constructorresultsid, asc)\n |> take(5)\n\nemit result", "buggy_code": "-- Load formula_1__constructorresults data\nconstructorresults = load(\"constructorresults\")\n |> select(status, raceid, constructorresultsid)\n\nsummary = constructorresults\n |> group_by(status)\n |> aggreate(total_constructorresultsid: sum(constructorresultsid), count: count())\n\nresult = summary\n |> sort_by(total_constructorresultsid, asc)\n |> take(5)\n\nemit result", "expected_output": [{"status": "D", "total_constructorresultsid": 382, "count": 2}, {"status": "NULL", "total_constructorresultsid": 19718, "count": 198}], "bug_info": [{"category": "syntax", "description": "Typo in keyword: 'aggregate' \u2192 'aggreate'", "line_num": 7, "original": "|> aggregate(total_constructorresultsid: sum(constructorresultsid), count: count())", "mutated": "|> aggreate(total_constructorresultsid: sum(constructorresultsid), count: count())"}], "difficulty": "easy", "domain": "formula_1__constructorresults", "num_nodes": 3, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_medium | {"datasets": {"route": [{"train_id": 1, "station_id": 1}, {"train_id": 1, "station_id": 2}, {"train_id": 1, "station_id": 3}, {"train_id": 2, "station_id": 1}, {"train_id": 2, "station_id": 3}, {"train_id": 2, "station_id": 7}, {"train_id": 3, "station_id": 4}, {"train_id": 4, "station_id": 6}, {"train_id": 4, "station_id": 2}, {"train_id": 5, "station_id": 1}, {"train_id": 6, "station_id": 5}, {"train_id": 7, "station_id": 4}, {"train_id": 7, "station_id": 5}, {"train_id": 7, "station_id": 8}, {"train_id": 8, "station_id": 8}, {"train_id": 9, "station_id": 7}, {"train_id": 9, "station_id": 8}, {"train_id": 10, "station_id": 9}], "train": [{"id": 1, "train_number": 16724, "name": "Ananthapuri Express", "origin": "Trivandrum", "destination": "Chennai", "time": "17:15", "interval": "Daily"}, {"id": 2, "train_number": 16127, "name": "Guruvayur Express", "origin": "Chennai", "destination": "Guruvayur", "time": "22:10", "interval": "Daily"}, {"id": 3, "train_number": 16128, "name": "Guruvayur Express", "origin": "Guruvayur", "destination": "Chennai", "time": "4:49", "interval": "Daily"}, {"id": 4, "train_number": 16723, "name": "Ananthapuri Express", "origin": "Chennai", "destination": "Trivandrum", "time": "11:35", "interval": "Daily"}, {"id": 5, "train_number": 16382, "name": "Jayanthi Janatha Express", "origin": "Kanniyakumari", "destination": "Mumbai", "time": "06:30", "interval": "Daily"}, {"id": 6, "train_number": 16525, "name": "Island Express", "origin": "Kanniyakumari", "destination": "Bangalore", "time": "11:15", "interval": "Daily"}, {"id": 7, "train_number": 56701, "name": "Madurai Fast Passenger", "origin": "Quilon", "destination": "Madurai", "time": "21:49", "interval": "Daily"}, {"id": 8, "train_number": 56700, "name": "Quilon Fast Passenger", "origin": "Madurai", "destination": "Quilon Junction", "time": "04:55", "interval": "Daily"}, {"id": 9, "train_number": 16526, "name": "Island Express", "origin": "Bangalore", "destination": "Kanniyakumari", "time": "16:59", "interval": "Daily"}, {"id": 10, "train_number": 16381, "name": "Jayanthi Janatha Express", "origin": "Mumbai", "destination": "Kanniyakumari", "time": "10:38", "interval": "Daily"}, {"id": 11, "train_number": 16650, "name": "Parasuram Express", "origin": "Nagercoil", "destination": "Mangalore", "time": "04:20", "interval": "Daily"}]}, "correct_code": "-- Load station_weather__route data\nroute = load(\"route\")\n\nprocessed = route\n |> compute(computed_val: train_id - station_id)\n\nresult = processed\n |> sort_by(station_id, asc)\n |> take(3)\n\nemit result", "buggy_code": "-- Load station_weather__route data\nroute = load(\"route\")\n\nprocessed = route\n |> compute(computed_val: train_id - station_id)\n\nresult = processed\n |> sort_by(station_id, desc)\n |> take(3)\n\nemit result", "expected_output": [{"train_id": 1, "station_id": 1, "computed_val": 0}, {"train_id": 2, "station_id": 1, "computed_val": 1}, {"train_id": 5, "station_id": 1, "computed_val": 4}], "bug_info": [{"category": "wrong_arg", "description": "Wrong sort order: 'asc' \u2192 'desc'", "line_num": 8, "original": "|> sort_by(station_id, asc)", "mutated": "|> sort_by(station_id, desc)"}], "difficulty": "medium", "domain": "station_weather__route", "num_nodes": 3, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_easy | {"datasets": {"student": [{"stuid": 1001, "lname": "Smith", "fname": "Linda", "age": 18, "sex": "F", "major": 600, "advisor": 1121, "city_code": "BAL"}, {"stuid": 1002, "lname": "Kim", "fname": "Tracy", "age": 19, "sex": "F", "major": 600, "advisor": 7712, "city_code": "HKG"}, {"stuid": 1003, "lname": "Jones", "fname": "Shiela", "age": 21, "sex": "F", "major": 600, "advisor": 7792, "city_code": "WAS"}, {"stuid": 1004, "lname": "Kumar", "fname": "Dinesh", "age": 20, "sex": "M", "major": 600, "advisor": 8423, "city_code": "CHI"}, {"stuid": 1005, "lname": "Gompers", "fname": "Paul", "age": 26, "sex": "M", "major": 600, "advisor": 1121, "city_code": "YYZ"}, {"stuid": 1006, "lname": "Schultz", "fname": "Andy", "age": 18, "sex": "M", "major": 600, "advisor": 1148, "city_code": "BAL"}, {"stuid": 1007, "lname": "Apap", "fname": "Lisa", "age": 18, "sex": "F", "major": 600, "advisor": 8918, "city_code": "PIT"}, {"stuid": 1008, "lname": "Nelson", "fname": "Jandy", "age": 20, "sex": "F", "major": 600, "advisor": 9172, "city_code": "BAL"}, {"stuid": 1009, "lname": "Tai", "fname": "Eric", "age": 19, "sex": "M", "major": 600, "advisor": 2192, "city_code": "YYZ"}, {"stuid": 1010, "lname": "Lee", "fname": "Derek", "age": 17, "sex": "M", "major": 600, "advisor": 2192, "city_code": "HOU"}, {"stuid": 1011, "lname": "Adams", "fname": "David", "age": 22, "sex": "M", "major": 600, "advisor": 1148, "city_code": "PHL"}, {"stuid": 1012, "lname": "Davis", "fname": "Steven", "age": 20, "sex": "M", "major": 600, "advisor": 7723, "city_code": "PIT"}, {"stuid": 1014, "lname": "Norris", "fname": "Charles", "age": 18, "sex": "M", "major": 600, "advisor": 8741, "city_code": "DAL"}, {"stuid": 1015, "lname": "Lee", "fname": "Susan", "age": 16, "sex": "F", "major": 600, "advisor": 8721, "city_code": "HKG"}, {"stuid": 1016, "lname": "Schwartz", "fname": "Mark", "age": 17, "sex": "M", "major": 600, "advisor": 2192, "city_code": "DET"}, {"stuid": 1017, "lname": "Wilson", "fname": "Bruce", "age": 27, "sex": "M", "major": 600, "advisor": 1148, "city_code": "LON"}, {"stuid": 1018, "lname": "Leighton", "fname": "Michael", "age": 20, "sex": "M", "major": 600, "advisor": 1121, "city_code": "PIT"}, {"stuid": 1019, "lname": "Pang", "fname": "Arthur", "age": 18, "sex": "M", "major": 600, "advisor": 2192, "city_code": "WAS"}, {"stuid": 1020, "lname": "Thornton", "fname": "Ian", "age": 22, "sex": "M", "major": 520, "advisor": 7271, "city_code": "NYC"}, {"stuid": 1021, "lname": "Andreou", "fname": "George", "age": 19, "sex": "M", "major": 520, "advisor": 8722, "city_code": "NYC"}, {"stuid": 1022, "lname": "Woods", "fname": "Michael", "age": 17, "sex": "M", "major": 540, "advisor": 8722, "city_code": "PHL"}, {"stuid": 1023, "lname": "Shieber", "fname": "David", "age": 20, "sex": "M", "major": 520, "advisor": 8722, "city_code": "NYC"}, {"stuid": 1024, "lname": "Prater", "fname": "Stacy", "age": 18, "sex": "F", "major": 540, "advisor": 7271, "city_code": "BAL"}, {"stuid": 1025, "lname": "Goldman", "fname": "Mark", "age": 18, "sex": "M", "major": 520, "advisor": 7134, "city_code": "PIT"}, {"stuid": 1026, "lname": "Pang", "fname": "Eric", "age": 19, "sex": "M", "major": 520, "advisor": 7134, "city_code": "HKG"}, {"stuid": 1027, "lname": "Brody", "fname": "Paul", "age": 18, "sex": "M", "major": 520, "advisor": 8723, "city_code": "LOS"}, {"stuid": 1028, "lname": "Rugh", "fname": "Eric", "age": 20, "sex": "M", "major": 550, "advisor": 2311, "city_code": "ROC"}, {"stuid": 1029, "lname": "Han", "fname": "Jun", "age": 17, "sex": "M", "major": 100, "advisor": 2311, "city_code": "PEK"}, {"stuid": 1030, "lname": "Cheng", "fname": "Lisa", "age": 21, "sex": "F", "major": 550, "advisor": 2311, "city_code": "SFO"}, {"stuid": 1031, "lname": "Smith", "fname": "Sarah", "age": 20, "sex": "F", "major": 550, "advisor": 8772, "city_code": "PHL"}, {"stuid": 1032, "lname": "Brown", "fname": "Eric", "age": 20, "sex": "M", "major": 550, "advisor": 8772, "city_code": "ATL"}, {"stuid": 1033, "lname": "Simms", "fname": "William", "age": 18, "sex": "M", "major": 550, "advisor": 8772, "city_code": "NAR"}, {"stuid": 1034, "lname": "Epp", "fname": "Eric", "age": 18, "sex": "M", "major": 50, "advisor": 5718, "city_code": "BOS"}, {"stuid": 1035, "lname": "Schmidt", "fname": "Sarah", "age": 26, "sex": "F", "major": 50, "advisor": 5718, "city_code": "WAS"}], "sportsinfo": [{"stuid": 1001, "sportname": "Athletics", "hoursperweek": 2, "gamesplayed": 5, "onscholarship": "N"}, {"stuid": 1002, "sportname": "Football", "hoursperweek": 7, "gamesplayed": 20, "onscholarship": "Y"}, {"stuid": 1003, "sportname": "Football", "hoursperweek": 45, "gamesplayed": 18, "onscholarship": "Y"}, {"stuid": 1005, "sportname": "Lacrosse", "hoursperweek": 35, "gamesplayed": 16, "onscholarship": "N"}, {"stuid": 1015, "sportname": "Lacrosse", "hoursperweek": 25, "gamesplayed": 41, "onscholarship": "Y"}, {"stuid": 1018, "sportname": "Lacrosse", "hoursperweek": 39, "gamesplayed": 25, "onscholarship": "N"}, {"stuid": 1019, "sportname": "Swimming", "hoursperweek": 8, "gamesplayed": 16, "onscholarship": "Y"}, {"stuid": 1019, "sportname": "Tennis", "hoursperweek": 19, "gamesplayed": 62, "onscholarship": "N"}, {"stuid": 1022, "sportname": "Baseball", "hoursperweek": 29, "gamesplayed": 31, "onscholarship": "N"}, {"stuid": 1023, "sportname": "Basketball", "hoursperweek": 14, "gamesplayed": 8, "onscholarship": "Y"}, {"stuid": 1023, "sportname": "Tennis", "hoursperweek": 1, "gamesplayed": 56, "onscholarship": "Y"}, {"stuid": 1026, "sportname": "Cricket", "hoursperweek": 23, "gamesplayed": 37, "onscholarship": "Y"}, {"stuid": 1033, "sportname": "Soccer", "hoursperweek": 45, "gamesplayed": 45, "onscholarship": "Y"}, {"stuid": 1035, "sportname": "Curling", "hoursperweek": 50, "gamesplayed": 94, "onscholarship": "N"}]}, "correct_code": "-- Load game_1__student data\nstudent = load(\"student\")\n\nfiltered_student = student\n |> filter(fname == \"Mark\")\n |> filter(age <= 19)\n\nsummary = filtered_student\n |> group_by(fname)\n |> aggregate(min_age: min(age), count: count())\n\nresult = summary\n |> sort_by(min_age, desc)\n |> take(10)\n\nemit result", "buggy_code": "-- Load game_1__student data\nstudent = load(\"student\")\n\nfiltered_student = student\n |> filter(fname == \"Mark\")\n |> filter(age <= 19)\n\nsummary = filtered_student\n |> group_by(fname)\n |> aggregate(min_age: count(age), count: count())\n\nresult = summary\n |> sort_by(min_age, desc)\n |> take(10)\n\nemit result", "expected_output": [{"fname": "Mark", "min_age": 17, "count": 2}], "bug_info": [{"category": "wrong_arg", "description": "Wrong aggregate function: 'min' \u2192 'count'", "line_num": 10, "original": "|> aggregate(min_age: min(age), count: count())", "mutated": "|> aggregate(min_age: count(age), count: count())"}], "difficulty": "easy", "domain": "game_1__student", "num_nodes": 4, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_medium | {"datasets": {"faculty": [{"facid": 1082, "lname": "Giuliano", "fname": "Mark", "rank": "Instructor", "sex": "M", "phone": 2424, "room": "224", "building": "NEB"}, {"facid": 1121, "lname": "Goodrich", "fname": "Michael", "rank": "Professor", "sex": "M", "phone": 3593, "room": "219", "building": "NEB"}, {"facid": 1148, "lname": "Masson", "fname": "Gerald", "rank": "Professor", "sex": "M", "phone": 3402, "room": "224B", "building": "NEB"}, {"facid": 1172, "lname": "Runolfsson", "fname": "Thordur", "rank": "AssocProf", "sex": "M", "phone": 3121, "room": "119", "building": "Barton"}, {"facid": 1177, "lname": "Naiman", "fname": "Daniel", "rank": "Professor", "sex": "M", "phone": 3571, "room": "288", "building": "Krieger"}, {"facid": 1193, "lname": "Jones", "fname": "Stacey", "rank": "Instructor", "sex": "F", "phone": 3550, "room": "224", "building": "NEB"}, {"facid": 1823, "lname": "Davidson", "fname": "Frederic", "rank": "Professor", "sex": "M", "phone": 5629, "room": "119", "building": "Barton"}, {"facid": 2028, "lname": "Brody", "fname": "William", "rank": "Professor", "sex": "M", "phone": 6073, "room": "119", "building": "Barton"}, {"facid": 2119, "lname": "Meyer", "fname": "Gerard", "rank": "Professor", "sex": "M", "phone": 6350, "room": "119", "building": "Barton"}, {"facid": 2192, "lname": "Yarowsky", "fname": "David", "rank": "AsstProf", "sex": "M", "phone": 6587, "room": "324", "building": "NEB"}, {"facid": 2291, "lname": "Scheinerman", "fname": "Edward", "rank": "Professor", "sex": "M", "phone": 6654, "room": "288", "building": "Krieger"}, {"facid": 2311, "lname": "Priebe", "fname": "Carey", "rank": "AsstProf", "sex": "M", "phone": 6953, "room": "288", "building": "Krieger"}, {"facid": 2738, "lname": "Fill", "fname": "James", "rank": "Professor", "sex": "M", "phone": 8209, "room": "288", "building": "Krieger"}, {"facid": 2881, "lname": "Goldman", "fname": "Alan", "rank": "Professor", "sex": "M", "phone": 8335, "room": "288", "building": "Krieger"}, {"facid": 3457, "lname": "Smith", "fname": "Scott", "rank": "AssocProf", "sex": "M", "phone": 1035, "room": "318", "building": "NEB"}, {"facid": 4230, "lname": "Houlahan", "fname": "Joanne", "rank": "Instructor", "sex": "F", "phone": 1260, "room": "328", "building": "NEB"}, {"facid": 4432, "lname": "Burzio", "fname": "Luigi", "rank": "Professor", "sex": "M", "phone": 1813, "room": "288", "building": "Krieger"}, {"facid": 5718, "lname": "Frank", "fname": "Robert", "rank": "AsstProf", "sex": "M", "phone": 1751, "room": "288", "building": "Krieger"}, {"facid": 6112, "lname": "Beach", "fname": "Louis", "rank": "Instructor", "sex": "M", "phone": 1838, "room": "207", "building": "NEB"}, {"facid": 6182, "lname": "Cheng", "fname": "Cheng", "rank": "AsstProf", "sex": "M", "phone": 1856, "room": "288", "building": "Krieger"}, {"facid": 6191, "lname": "Kaplan", "fname": "Alexander", "rank": "Professor", "sex": "M", "phone": 1825, "room": "119", "building": "Barton"}, {"facid": 6330, "lname": "Byrne", "fname": "William", "rank": "Instructor", "sex": "M", "phone": 1691, "room": "119", "building": "Barton"}, {"facid": 6541, "lname": "Han", "fname": "Shih-Ping", "rank": "Professor", "sex": "M", "phone": 1914, "room": "288", "building": "Krieger"}, {"facid": 6910, "lname": "Smolensky", "fname": "Paul", "rank": "Professor", "sex": "M", "phone": 2072, "room": "288", "building": "Krieger"}, {"facid": 6925, "lname": "Iglesias", "fname": "Pablo", "rank": "AsstProf", "sex": "M", "phone": 2021, "room": "119", "building": "Barton"}, {"facid": 7134, "lname": "Goutsias", "fname": "John", "rank": "Professor", "sex": "M", "phone": 2184, "room": "119", "building": "Barton"}, {"facid": 7231, "lname": "Rugh", "fname": "Wilson", "rank": "Professor", "sex": "M", "phone": 2191, "room": "119", "building": "Barton"}, {"facid": 7271, "lname": "Jelinek", "fname": "Frederick", "rank": "Professor", "sex": "M", "phone": 2890, "room": "119", "building": "Barton"}, {"facid": 7506, "lname": "Westgate", "fname": "Charles", "rank": "Professor", "sex": "M", "phone": 2932, "room": "119", "building": "Barton"}, {"facid": 7712, "lname": "Awerbuch", "fname": "Baruch", "rank": "Professor", "sex": "M", "phone": 2105, "room": "220", "building": "NEB"}, {"facid": 7723, "lname": "Taylor", "fname": "Russell", "rank": "Professor", "sex": "M", "phone": 2435, "room": "317", "building": "NEB"}, {"facid": 7792, "lname": "Brill", "fname": "Eric", "rank": "AsstProf", "sex": "M", "phone": 2303, "room": "324B", "building": "NEB"}, {"facid": 8102, "lname": "James", "fname": "Lancelot", "rank": "AsstProf", "sex": "M", "phone": 2792, "room": "288", "building": "Krieger"}, {"facid": 8114, "lname": "Angelopoulou", "fname": "Ellie", "rank": "Instructor", "sex": "F", "phone": 2152, "room": "316", "building": "NEB"}, {"facid": 8118, "lname": "Weinert", "fname": "Howard", "rank": "Professor", "sex": "M", "phone": 3272, "room": "119", "building": "Barton"}, {"facid": 8122, "lname": "Wierman", "fname": "John", "rank": "Professor", "sex": "M", "phone": 3392, "room": "288", "building": "Krieger"}, {"facid": 8423, "lname": "Kumar", "fname": "Subodh", "rank": "AsstProf", "sex": "M", "phone": 2522, "room": "218", "building": "NEB"}, {"facid": 8721, "lname": "Wolff", "fname": "Lawrence", "rank": "AssocProf", "sex": "M", "phone": 2342, "room": "316", "building": "NEB"}, {"facid": 8722, "lname": "Cauwenberghs", "fname": "Gert", "rank": "AsstProf", "sex": "M", "phone": 1372, "room": "119", "building": "Barton"}, {"facid": 8723, "lname": "Andreou", "fname": "Andreas", "rank": "Professor", "sex": "M", "phone": 1402, "room": "119", "building": "Barton"}, {"facid": 8741, "lname": "Salzberg", "fname": "Steven", "rank": "AssocProf", "sex": "M", "phone": 2641, "room": "324A", "building": "NEB"}, {"facid": 8772, "lname": "Cowen", "fname": "Lenore", "rank": "AsstProf", "sex": "F", "phone": 2870, "room": "288", "building": "Krieger"}, {"facid": 8791, "lname": "McCloskey", "fname": "Michael", "rank": "Professor", "sex": "M", "phone": 3440, "room": "288", "building": "Krieger"}, {"facid": 8918, "lname": "Amir", "fname": "Yair", "rank": "AsstProf", "sex": "M", "phone": 2672, "room": "308", "building": "NEB"}, {"facid": 8989, "lname": "Brent", "fname": "Michael", "rank": "AsstProf", "sex": "M", "phone": 9373, "room": "288", "building": "Krieger"}, {"facid": 9011, "lname": "Rapp", "fname": "Brenda", "rank": "AsstProf", "sex": "F", "phone": 2032, "room": "288", "building": "Krieger"}, {"facid": 9172, "lname": "Kosaraju", "fname": "Rao", "rank": "Professor", "sex": "M", "phone": 2757, "room": "319", "building": "NEB"}, {"facid": 9191, "lname": "Collins", "fname": "Oliver", "rank": "AssocProf", "sex": "M", "phone": 5427, "room": "119", "building": "Barton"}, {"facid": 9199, "lname": "Hughes", "fname": "Brian", "rank": "AssocProf", "sex": "M", "phone": 5666, "room": "119", "building": "Barton"}, {"facid": 9210, "lname": "Joseph", "fname": "Richard", "rank": "Professor", "sex": "M", "phone": 5996, "room": "119", "building": "Barton"}, {"facid": 9379, "lname": "Khurgin", "fname": "Jacob", "rank": "Professor", "sex": "M", "phone": 1060, "room": "119", "building": "Barton"}, {"facid": 9514, "lname": "Prince", "fname": "Jerry", "rank": "AssocProf", "sex": "M", "phone": 5106, "room": "119", "building": "Barton"}, {"facid": 9643, "lname": "Legendre", "fname": "Geraldine", "rank": "AssocProf", "sex": "F", "phone": 8972, "room": "288", "building": "Krieger"}, {"facid": 9811, "lname": "Wu", "fname": "Colin", "rank": "AsstProf", "sex": "M", "phone": 2906, "room": "288", "building": "Krieger"}, {"facid": 9823, "lname": "Pang", "fname": "Jong-Shi", "rank": "Professor", "sex": "M", "phone": 4366, "room": "288", "building": "Krieger"}, {"facid": 9824, "lname": "Glaser", "fname": "Robert", "rank": "Instructor", "sex": "M", "phone": 4396, "room": "119", "building": "Barton"}, {"facid": 9826, "lname": "Delcher", "fname": "Arthur", "rank": "Instructor", "sex": "M", "phone": 2956, "room": "329", "building": "NEB"}, {"facid": 9922, "lname": "Hall", "fname": "Leslie", "rank": "AsstProf", "sex": "F", "phone": 7332, "room": "288", "building": "Krieger"}], "faculty_participates_in": [{"facid": 1082, "actid": 784}, {"facid": 1082, "actid": 785}, {"facid": 1082, "actid": 790}, {"facid": 1121, "actid": 771}, {"facid": 1121, "actid": 777}, {"facid": 1121, "actid": 770}, {"facid": 1193, "actid": 790}, {"facid": 1193, "actid": 796}, {"facid": 1193, "actid": 773}, {"facid": 2192, "actid": 773}, {"facid": 2192, "actid": 790}, {"facid": 2192, "actid": 778}, {"facid": 3457, "actid": 782}, {"facid": 3457, "actid": 771}, {"facid": 3457, "actid": 784}, {"facid": 4230, "actid": 790}, {"facid": 4230, "actid": 785}, {"facid": 6112, "actid": 785}, {"facid": 6112, "actid": 772}, {"facid": 7723, "actid": 785}, {"facid": 7723, "actid": 770}, {"facid": 8114, "actid": 776}, {"facid": 8721, "actid": 770}, {"facid": 8721, "actid": 780}, {"facid": 8741, "actid": 780}, {"facid": 8741, "actid": 790}, {"facid": 8918, "actid": 780}, {"facid": 8918, "actid": 782}, {"facid": 8918, "actid": 771}, {"facid": 2881, "actid": 790}, {"facid": 2881, "actid": 784}, {"facid": 4432, "actid": 770}, {"facid": 4432, "actid": 771}, {"facid": 5718, "actid": 776}, {"facid": 6182, "actid": 776}, {"facid": 6182, "actid": 785}, {"facid": 1177, "actid": 790}, {"facid": 1177, "actid": 770}, {"facid": 1177, "actid": 770}, {"facid": 9922, "actid": 796}]}, "correct_code": "-- Load activity_1__faculty data\nfaculty = load(\"faculty\")\n\nfiltered_faculty = faculty\n |> filter(phone > 2144)\n\nsummary = filtered_faculty\n |> group_by(fname)\n |> aggregate(min_facid: min(facid), count: count())\n\nresult = summary\n |> sort_by(count, desc)\n |> take(3)\n\nemit result", "buggy_code": "-- Load activity_1__faculty data\nfaculty = load(\"faculty\")\n\nfiltered_faculty = faculty\n |> filter(phone > 2144)\n\nsummary = filtered_faculty\n |> group_by(fname)\n |> aggregate(min_facid: min(facid), count: count())\n\nresult = summary\n |> sort_by(count, asc)\n |> take(3)\n\nemit result", "expected_output": [{"fname": "Michael", "min_facid": 1121, "count": 3}, {"fname": "John", "min_facid": 7134, "count": 2}, {"fname": "Mark", "min_facid": 1082, "count": 1}], "bug_info": [{"category": "wrong_arg", "description": "Wrong sort order: 'desc' \u2192 'asc'", "line_num": 12, "original": "|> sort_by(count, desc)", "mutated": "|> sort_by(count, asc)"}], "difficulty": "medium", "domain": "activity_1__faculty", "num_nodes": 4, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_medium | {"datasets": {"constructorresults": [{"constructorresultsid": 1, "raceid": 18, "constructorid": 1, "points": 14.0, "status": "NULL"}, {"constructorresultsid": 2, "raceid": 18, "constructorid": 2, "points": 8.0, "status": "NULL"}, {"constructorresultsid": 3, "raceid": 18, "constructorid": 3, "points": 9.0, "status": "NULL"}, {"constructorresultsid": 4, "raceid": 18, "constructorid": 4, "points": 5.0, "status": "NULL"}, {"constructorresultsid": 5, "raceid": 18, "constructorid": 5, "points": 2.0, "status": "NULL"}, {"constructorresultsid": 6, "raceid": 18, "constructorid": 6, "points": 1.0, "status": "NULL"}, {"constructorresultsid": 7, "raceid": 18, "constructorid": 7, "points": 0.0, "status": "NULL"}, {"constructorresultsid": 8, "raceid": 18, "constructorid": 8, "points": 0.0, "status": "NULL"}, {"constructorresultsid": 9, "raceid": 18, "constructorid": 9, "points": 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"constructorref": "hill", "name": "Embassy Hill", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Hill_(constructor)"}, {"constructorid": 76, "constructorref": "lyncar", "name": "Lyncar", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Lyncar"}, {"constructorid": 77, "constructorref": "trojan", "name": "Trojan", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Trojan_(Racing_team)"}, {"constructorid": 78, "constructorref": "amon", "name": "Amon", "nationality": "New Zealand", "url": "http://en.wikipedia.org/wiki/Amon_(Formula_One_team)"}, {"constructorid": 79, "constructorref": "token", "name": "Token", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Token_(Racing_team)"}, {"constructorid": 80, "constructorref": "iso_marlboro", "name": "Iso Marlboro", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Iso_Marlboro"}, {"constructorid": 81, "constructorref": "tecno", "name": "Tecno", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/Tecno"}, {"constructorid": 82, "constructorref": "matra", "name": "Matra", "nationality": "French", "url": "http://en.wikipedia.org/wiki/Matra"}, {"constructorid": 83, "constructorref": "politoys", "name": "Politoys", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Frank_Williams_Racing_Cars"}, {"constructorid": 84, "constructorref": "connew", "name": "Connew", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Connew"}, {"constructorid": 85, "constructorref": "bellasi", "name": "Bellasi", "nationality": "Swiss", "url": "http://en.wikipedia.org/wiki/Bellasi"}, {"constructorid": 86, "constructorref": "tomaso", "name": "De Tomaso", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/De_Tomaso"}, {"constructorid": 87, "constructorref": "cooper", "name": "Cooper", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 88, "constructorref": "eagle", "name": "Eagle", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Anglo_American_Racers"}, {"constructorid": 89, "constructorref": "lds", "name": "LDS", "nationality": "South African", "url": "http://en.wikipedia.org/wiki/LDS_(automobile)"}, {"constructorid": 90, "constructorref": "protos", "name": "Protos", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Protos_(constructor)"}, {"constructorid": 91, "constructorref": "shannon", "name": "Shannon", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Shannon_(Formula_One)"}, {"constructorid": 92, "constructorref": "scirocco", "name": "Scirocco", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Scirocco-Powell"}, {"constructorid": 93, "constructorref": "re", "name": "RE", "nationality": "Rhodesian", "url": "http://en.wikipedia.org/wiki/RE_%28automobile%29"}, {"constructorid": 94, "constructorref": "brp", "name": "BRP", "nationality": "British", "url": "http://en.wikipedia.org/wiki/British_Racing_Partnership"}, {"constructorid": 95, "constructorref": "porsche", "name": "Porsche", "nationality": "German", "url": "http://en.wikipedia.org/wiki/Porsche_in_Formula_One"}, {"constructorid": 96, "constructorref": "derrington", "name": "Derrington", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Derrington-Francis"}, {"constructorid": 97, "constructorref": "gilby", "name": "Gilby", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Gilby"}, {"constructorid": 98, "constructorref": "stebro", "name": "Stebro", "nationality": "Canadian", "url": "http://en.wikipedia.org/wiki/Stebro"}, {"constructorid": 99, "constructorref": "emeryson", "name": "Emeryson", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Emeryson"}, {"constructorid": 100, "constructorref": "enb", "name": "ENB", "nationality": "Belgium", "url": "http://en.wikipedia.org/wiki/Ecurie_Nationale_Belge"}, {"constructorid": 101, "constructorref": "jbw", "name": "JBW", "nationality": "British", "url": "http://en.wikipedia.org/wiki/JBW"}, {"constructorid": 102, "constructorref": "ferguson", "name": "Ferguson", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Ferguson_Research_Ltd."}, {"constructorid": 103, "constructorref": "mbm", "name": "MBM", "nationality": "Swiss", "url": "http://en.wikipedia.org/wiki/Monteverdi_Basel_Motors"}, {"constructorid": 104, "constructorref": "behra-porsche", "name": "Behra-Porsche", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/Behra-Porsche"}, {"constructorid": 105, "constructorref": "maserati", "name": "Maserati", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/Maserati"}, {"constructorid": 106, "constructorref": "scarab", "name": "Scarab", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Scarab_(constructor)"}, {"constructorid": 107, "constructorref": "watson", "name": "Watson", "nationality": "American", "url": "http://en.wikipedia.org/wiki/A.J._Watson"}, {"constructorid": 108, "constructorref": "epperly", "name": "Epperly", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Epperly"}, {"constructorid": 109, "constructorref": "phillips", "name": "Phillips", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Phillips_(constructor)"}, {"constructorid": 110, "constructorref": "lesovsky", "name": "Lesovsky", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Lesovsky"}, {"constructorid": 111, "constructorref": "trevis", "name": "Trevis", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Trevis"}, {"constructorid": 112, "constructorref": "meskowski", "name": "Meskowski", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Meskowski"}, {"constructorid": 113, "constructorref": "kurtis_kraft", "name": "Kurtis Kraft", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Kurtis_Kraft"}, {"constructorid": 114, "constructorref": "kuzma", "name": "Kuzma", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Kuzma_(constructor)"}, {"constructorid": 115, "constructorref": "vhristensen", "name": "Christensen", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Christensen_(constructor)"}, {"constructorid": 116, "constructorref": "ewing", "name": "Ewing", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Ewing_(constructor)"}, {"constructorid": 117, "constructorref": "aston_martin", "name": "Aston Martin", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Aston_Martin"}, {"constructorid": 118, "constructorref": "vanwall", "name": "Vanwall", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Vanwall"}, {"constructorid": 119, "constructorref": "moore", "name": "Moore", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Moore_(constructor)"}, {"constructorid": 120, "constructorref": "dunn", "name": "Dunn", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Dunn_Engineering"}, {"constructorid": 121, "constructorref": "elder", "name": "Elder", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Elder_(constructor)"}, {"constructorid": 122, "constructorref": "sutton", "name": "Sutton", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Sutton_(constructor)"}, {"constructorid": 123, "constructorref": "fry", "name": "Fry", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Fry_(racing_team)"}, {"constructorid": 124, "constructorref": "tec-mec", "name": "Tec-Mec", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/Tec-Mec"}, {"constructorid": 125, "constructorref": "connaught", "name": "Connaught", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Connaught_Engineering"}, {"constructorid": 126, "constructorref": "alta", "name": "Alta", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Alta_auto_racing_team"}, {"constructorid": 127, "constructorref": "osca", "name": "OSCA", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/Officine_Specializate_Costruzione_Automobili"}, {"constructorid": 128, "constructorref": "gordini", "name": "Gordini", "nationality": "French", "url": "http://en.wikipedia.org/wiki/Gordini"}, {"constructorid": 129, "constructorref": "stevens", "name": "Stevens", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Stevens_(constructor)"}, {"constructorid": 130, "constructorref": "bugatti", "name": "Bugatti", "nationality": "French", "url": "http://en.wikipedia.org/wiki/Bugatti"}, {"constructorid": 131, "constructorref": "mercedes", "name": "Mercedes", "nationality": "German", "url": "http://en.wikipedia.org/wiki/Mercedes-Benz_in_Formula_One"}, {"constructorid": 132, "constructorref": "lancia", "name": "Lancia", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/Lancia_in_Formula_One"}, {"constructorid": 133, "constructorref": "hwm", "name": "HWM", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Hersham_and_Walton_Motors"}, {"constructorid": 134, "constructorref": "schroeder", "name": "Schroeder", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Schroeder_(constructor)"}, {"constructorid": 135, "constructorref": "pawl", "name": "Pawl", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Pawl_(constructor)"}, {"constructorid": 136, "constructorref": "pankratz", "name": "Pankratz", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Pankratz"}, {"constructorid": 137, "constructorref": "arzani-volpini", "name": "Arzani-Volpini", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/Arzani-Volpini"}, {"constructorid": 138, "constructorref": "nichels", "name": "Nichels", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Nichels"}, {"constructorid": 139, "constructorref": "bromme", "name": "Bromme", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Bromme"}, {"constructorid": 140, "constructorref": "klenk", "name": "Klenk", "nationality": "German", "url": "http://en.wikipedia.org/wiki/Klenk"}, {"constructorid": 141, "constructorref": "simca", "name": "Simca", "nationality": "French", "url": "http://en.wikipedia.org/wiki/Simca"}, {"constructorid": 142, "constructorref": "turner", "name": "Turner", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Turner_(constructor)"}, {"constructorid": 143, "constructorref": "del_roy", "name": "Del Roy", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Del_Roy"}, {"constructorid": 144, "constructorref": "veritas", "name": "Veritas", "nationality": "German", "url": "http://en.wikipedia.org/wiki/Veritas_(constructor)"}, {"constructorid": 145, "constructorref": "bmw", "name": "BMW", "nationality": "German", "url": "http://en.wikipedia.org/wiki/BMW"}, {"constructorid": 146, "constructorref": "emw", "name": "EMW", "nationality": "East German", "url": "http://en.wikipedia.org/wiki/Eisenacher_Motorenwerk"}, {"constructorid": 147, "constructorref": "afm", "name": "AFM", "nationality": "German", "url": "http://en.wikipedia.org/wiki/Alex_von_Falkenhausen_Motorenbau"}, {"constructorid": 148, "constructorref": "frazer_nash", "name": "Frazer Nash", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Frazer_Nash"}, {"constructorid": 149, "constructorref": "sherman", "name": "Sherman", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Sherman_(constructor)"}, {"constructorid": 150, "constructorref": "deidt", "name": "Deidt", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Deidt"}, {"constructorid": 151, "constructorref": "era", "name": "ERA", "nationality": "British", "url": "http://en.wikipedia.org/wiki/English_Racing_Automobiles"}, {"constructorid": 152, "constructorref": "butterworth", "name": "Aston Butterworth", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Aston_Butterworth"}, {"constructorid": 153, "constructorref": "cisitalia", "name": "Cisitalia", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/Cisitalia"}, {"constructorid": 154, "constructorref": "lago", "name": "Talbot-Lago", "nationality": "French", "url": "http://en.wikipedia.org/wiki/Talbot-Lago"}, {"constructorid": 155, "constructorref": "hall", "name": "Hall", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Hall_(constructor)"}, {"constructorid": 156, "constructorref": "marchese", "name": "Marchese", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Marchese_(constructor)"}, {"constructorid": 157, "constructorref": "langley", "name": "Langley", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Langley_(constructor)"}, {"constructorid": 158, "constructorref": "rae", "name": "Rae", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Rae_(motorsport)"}, {"constructorid": 159, "constructorref": "olson", "name": "Olson", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Olson_(constructor)"}, {"constructorid": 160, "constructorref": "wetteroth", "name": "Wetteroth", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Wetteroth"}, {"constructorid": 161, "constructorref": "adams", "name": "Adams", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Adams_(constructor)"}, {"constructorid": 162, "constructorref": "snowberger", "name": "Snowberger", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Snowberger"}, {"constructorid": 163, "constructorref": "milano", "name": "Milano", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/Scuderia_Milano"}, {"constructorid": 164, "constructorref": "hrt", "name": "HRT", "nationality": "Spanish", "url": "http://en.wikipedia.org/wiki/Hispania_Racing"}, {"constructorid": 166, "constructorref": "virgin", "name": "Virgin", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Virgin_Racing"}, {"constructorid": 167, "constructorref": "cooper-maserati", "name": "Cooper-Maserati", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 168, "constructorref": "cooper-osca", "name": "Cooper-OSCA", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 169, "constructorref": "cooper-borgward", "name": "Cooper-Borgward", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 170, "constructorref": "cooper-climax", "name": "Cooper-Climax", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 171, "constructorref": "cooper-castellotti", "name": "Cooper-Castellotti", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 172, "constructorref": "lotus-climax", "name": "Lotus-Climax", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_Lotus"}, {"constructorid": 173, "constructorref": "lotus-maserati", "name": "Lotus-Maserati", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_Lotus"}, {"constructorid": 174, "constructorref": "de_tomaso-osca", "name": "De Tomaso-Osca", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/De_Tomaso"}, {"constructorid": 175, "constructorref": "de_tomaso-alfa_romeo", "name": "De Tomaso-Alfa Romeo", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/De_Tomaso"}, {"constructorid": 176, "constructorref": "lotus-brm", "name": "Lotus-BRM", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_Lotus"}, {"constructorid": 177, "constructorref": "lotus-borgward", "name": "Lotus-Borgward", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_Lotus"}, {"constructorid": 178, "constructorref": "cooper-alfa_romeo", "name": "Cooper-Alfa Romeo", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 179, "constructorref": "de_tomaso-ferrari", "name": "De Tomaso-Ferrari", "nationality": "Italian", "url": "http://en.wikipedia.org/wiki/De_Tomaso"}, {"constructorid": 180, "constructorref": "lotus-ford", "name": "Lotus-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_Lotus"}, {"constructorid": 181, "constructorref": "brabham-brm", "name": "Brabham-BRM", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Brabham"}, {"constructorid": 182, "constructorref": "brabham-ford", "name": "Brabham-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Brabham"}, {"constructorid": 183, "constructorref": "brabham-climax", "name": "Brabham-Climax", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Brabham"}, {"constructorid": 184, "constructorref": "lds-climax", "name": "LDS-Climax", "nationality": "South African", "url": "http://en.wikipedia.org/wiki/LDS_(automobile)"}, {"constructorid": 185, "constructorref": "lds-alfa_romeo", "name": "LDS-Alfa Romeo", "nationality": "South African", "url": "http://en.wikipedia.org/wiki/LDS_(automobile)"}, {"constructorid": 186, "constructorref": "cooper-ford", "name": "Cooper-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 187, "constructorref": "mclaren-ford", "name": "McLaren-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_McLaren"}, {"constructorid": 188, "constructorref": "mclaren-seren", "name": "McLaren-Serenissima", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_McLaren"}, {"constructorid": 189, "constructorref": "eagle-climax", "name": "Eagle-Climax", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Anglo_American_Racers"}, {"constructorid": 190, "constructorref": "eagle-weslake", "name": "Eagle-Weslake", "nationality": "American", "url": "http://en.wikipedia.org/wiki/Anglo_American_Racers"}, {"constructorid": 191, "constructorref": "brabham-repco", "name": "Brabham-Repco", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Brabham"}, {"constructorid": 192, "constructorref": "cooper-ferrari", "name": "Cooper-Ferrari", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 193, "constructorref": "cooper-ats", "name": "Cooper-ATS", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 194, "constructorref": "mclaren-brm", "name": "McLaren-BRM", "nationality": "British", "url": "http://en.wikipedia.org/wiki/McLaren_(racing)"}, {"constructorid": 195, "constructorref": "cooper-brm", "name": "Cooper-BRM", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Cooper_Car_Company"}, {"constructorid": 196, "constructorref": "matra-ford", "name": "Matra-Ford", "nationality": "French", "url": "http://en.wikipedia.org/wiki/Matra"}, {"constructorid": 197, "constructorref": "brm-ford", "name": "BRM-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/BRM"}, {"constructorid": 198, "constructorref": "mclaren-alfa_romeo", "name": "McLaren-Alfa Romeo", "nationality": "British", "url": "http://en.wikipedia.org/wiki/McLaren_(racing)"}, {"constructorid": 199, "constructorref": "march-alfa_romeo", "name": "March-Alfa Romeo", "nationality": "British", "url": "http://en.wikipedia.org/wiki/March_Engineering"}, {"constructorid": 200, "constructorref": "march-ford", "name": "March-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/March_Engineering"}, {"constructorid": 201, "constructorref": "lotus-pw", "name": "Lotus-Pratt & Whitney", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Team_Lotus"}, {"constructorid": 202, "constructorref": "shadow-ford", "name": "Shadow-Ford", "nationality": "British", "url": "http://en.wikipedia.org/wiki/Shadow_Racing_Cars"}]}, "correct_code": "-- Load formula_1__constructorresults data\nconstructorresults = load(\"constructorresults\")\n\nfiltered_constructorresults = constructorresults\n |> filter(status == \"NULL\")\n |> filter(points <= 6)\n |> select(status, raceid, constructorid, constructorresultsid)\n\n-- Load lookup data\nconstructors = load(\"constructors\")\n\nenriched = join(filtered_constructorresults, constructors, on: constructorid == constructorid)\n\nresult = enriched\n |> sort_by(constructorid, desc)\n |> take(5)\n\nemit result", "buggy_code": "-- Load formula_1__constructorresults data\nconstructorresults = load(\"constructorresults\")\n\nfiltered_constructorresults = constructorresults\n |> filter(status == \"nulls\")\n |> filter(points <= 6)\n |> select(status, raceid, constructorid, constructorresultsid)\n\n-- Load lookup data\nconstructors = load(\"constructors\")\n\nenriched = join(filtered_constructorresults, constructors, on: constructorid == constructorid)\n\nresult = enriched\n |> sort_by(constructorid, desc)\n |> take(5)\n\nemit result", "expected_output": [{"status": "NULL", "raceid": 36, "constructorid": 12, "constructorresultsid": 195, "constructorref": "spyker", "name": "Spyker", "nationality": "Dutch", "url": "http://en.wikipedia.org/wiki/Spyker_F1"}, {"status": "NULL", "raceid": 18, "constructorid": 11, "constructorresultsid": 11, "constructorref": "honda", "name": "Honda", "nationality": "Japanese", "url": "http://en.wikipedia.org/wiki/Honda_Racing_F1"}, {"status": "NULL", "raceid": 19, "constructorid": 11, "constructorresultsid": 18, "constructorref": "honda", "name": "Honda", "nationality": "Japanese", "url": "http://en.wikipedia.org/wiki/Honda_Racing_F1"}, {"status": "NULL", "raceid": 20, "constructorid": 11, "constructorresultsid": 30, "constructorref": "honda", "name": "Honda", "nationality": "Japanese", "url": "http://en.wikipedia.org/wiki/Honda_Racing_F1"}, {"status": "NULL", "raceid": 21, "constructorid": 11, "constructorresultsid": 38, "constructorref": "honda", "name": "Honda", "nationality": "Japanese", "url": "http://en.wikipedia.org/wiki/Honda_Racing_F1"}], "bug_info": [{"category": "logic_bug", "description": "Wrong filter value: 'NULL' \u2192 'NULLs'", "line_num": 5, "original": "|> filter(status == \"NULL\")", "mutated": "|> filter(status == \"NULLs\")"}, {"category": "logic_bug", "description": "Wrong filter value: 'NULLs' \u2192 'nulls'", "line_num": 5, "original": "|> filter(status == \"NULLs\")", "mutated": "|> filter(status == \"nulls\")"}], "difficulty": "medium", "domain": "formula_1__constructorresults", "num_nodes": 5, "has_join": true} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_medium | {"datasets": {"characteristics": [{"characteristic_id": 1, "characteristic_type_code": "Grade", "characteristic_data_type": "numquam", "characteristic_name": "slow", "other_characteristic_details": 0}, {"characteristic_id": 2, "characteristic_type_code": "Grade", "characteristic_data_type": "doloribus", "characteristic_name": "fast", "other_characteristic_details": 0}, {"characteristic_id": 3, "characteristic_type_code": "Purity", "characteristic_data_type": "rem", "characteristic_name": "warm", "other_characteristic_details": 0}, {"characteristic_id": 4, "characteristic_type_code": "Grade", "characteristic_data_type": "aut", "characteristic_name": "hot", "other_characteristic_details": 0}, {"characteristic_id": 5, "characteristic_type_code": "Purity", "characteristic_data_type": "impedit", "characteristic_name": "hot", "other_characteristic_details": 0}, {"characteristic_id": 6, "characteristic_type_code": "Purity", "characteristic_data_type": "qui", "characteristic_name": "warm", "other_characteristic_details": 0}, {"characteristic_id": 7, "characteristic_type_code": "Grade", "characteristic_data_type": "et", "characteristic_name": "cool", "other_characteristic_details": 0}, {"characteristic_id": 8, "characteristic_type_code": "Grade", "characteristic_data_type": "dolores", "characteristic_name": "cool", "other_characteristic_details": 0}, {"characteristic_id": 9, "characteristic_type_code": "Grade", "characteristic_data_type": "quam", "characteristic_name": "cool", "other_characteristic_details": 0}, {"characteristic_id": 10, "characteristic_type_code": "Grade", "characteristic_data_type": "velit", "characteristic_name": "fast", "other_characteristic_details": 0}, {"characteristic_id": 11, "characteristic_type_code": "Purity", "characteristic_data_type": "at", "characteristic_name": "fast", "other_characteristic_details": 0}, {"characteristic_id": 12, "characteristic_type_code": "Grade", "characteristic_data_type": "totam", "characteristic_name": "error", "other_characteristic_details": 0}, {"characteristic_id": 13, "characteristic_type_code": "Purity", "characteristic_data_type": "mollitia", "characteristic_name": "slow", "other_characteristic_details": 0}, {"characteristic_id": 14, "characteristic_type_code": "Purity", "characteristic_data_type": "placeat", "characteristic_name": "slow", "other_characteristic_details": 0}, {"characteristic_id": 15, "characteristic_type_code": "Grade", "characteristic_data_type": "facere", "characteristic_name": "slow", "other_characteristic_details": 0}], "ref_characteristic_types": [{"characteristic_type_code": "Grade", "characteristic_type_description": "Grade"}, {"characteristic_type_code": "Purity", "characteristic_type_description": "Purity"}]}, "correct_code": "-- Load products_gen_characteristics__characteristics data\ncharacteristics = load(\"characteristics\")\n |> select(characteristic_data_type, characteristic_type_code, characteristic_id)\n\n-- Load lookup data\nref_characteristic_types = load(\"ref_characteristic_types\")\n\nenriched = join(characteristics, ref_characteristic_types, on: characteristic_type_code == characteristic_type_code)\n\nresult = enriched\n |> sort_by(characteristic_id, asc)\n |> take(5)\n\nemit result", "buggy_code": "-- Load products_gen_characteristics__characteristics data\ncharacteristics = load(\"characteristics\")\n |> select(characteristic_data_type, characteristic_type_code, characteristic_id)\n\n-- Load lookup data\nref_characteristic_types = load(\"ref_characteristic_types\")\n\nenriched = join(characteristics, ref_characteristic_types, on: characteristic_type_code == characteristic_type_code)\n\nresult = enriched\n |> sort_by(characteristic_id, asc)\n |> take(7)\n\nemit result", "expected_output": [{"characteristic_data_type": "numquam", "characteristic_type_code": "Grade", "characteristic_id": 1, "characteristic_type_description": "Grade"}, {"characteristic_data_type": "doloribus", "characteristic_type_code": "Grade", "characteristic_id": 2, "characteristic_type_description": "Grade"}, {"characteristic_data_type": "rem", "characteristic_type_code": "Purity", "characteristic_id": 3, "characteristic_type_description": "Purity"}, {"characteristic_data_type": "aut", "characteristic_type_code": "Grade", "characteristic_id": 4, "characteristic_type_description": "Grade"}, {"characteristic_data_type": "impedit", "characteristic_type_code": "Purity", "characteristic_id": 5, "characteristic_type_description": "Purity"}], "bug_info": [{"category": "logic_bug", "description": "Off-by-2 in take: 5 \u2192 7", "line_num": 12, "original": "|> take(5)", "mutated": "|> take(7)"}], "difficulty": "medium", "domain": "products_gen_characteristics__characteristics", "num_nodes": 4, "has_join": true} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_easy | {"datasets": {"employees": [{"employee_id": 1, "employee_address_id": 4, "employee_name": "Kacie", "employee_phone": "716-650-2081"}, {"employee_id": 2, "employee_address_id": 12, "employee_name": "Dejuan", "employee_phone": "211.289.9042"}, {"employee_id": 3, "employee_address_id": 1, "employee_name": "Leonie", "employee_phone": "816-890-2580"}, {"employee_id": 4, "employee_address_id": 11, "employee_name": "Rogelio", "employee_phone": "(539)655-7194x3276"}, {"employee_id": 5, "employee_address_id": 12, "employee_name": "Eriberto", "employee_phone": "675.047.7555x13273"}, {"employee_id": 6, "employee_address_id": 9, "employee_name": "Matteo", "employee_phone": "620.905.4152x7146"}, {"employee_id": 7, "employee_address_id": 4, "employee_name": "Sasha", "employee_phone": "1-547-775-6049"}, {"employee_id": 8, "employee_address_id": 11, "employee_name": "Eino", "employee_phone": "033.973.3729x07313"}, {"employee_id": 9, "employee_address_id": 8, "employee_name": "Cydney", "employee_phone": "191.702.4400x1018"}, {"employee_id": 10, "employee_address_id": 6, "employee_name": "Cristian", "employee_phone": "1-833-492-9430"}, {"employee_id": 11, "employee_address_id": 5, "employee_name": "Lew", "employee_phone": "776.002.6775"}, {"employee_id": 12, "employee_address_id": 15, "employee_name": "Anthony", "employee_phone": "+69(6)9999892744"}, {"employee_id": 13, "employee_address_id": 14, "employee_name": "Jovani", "employee_phone": "+28(9)6180779782"}, {"employee_id": 14, "employee_address_id": 10, "employee_name": "Dovie", "employee_phone": "944-507-0999"}, {"employee_id": 15, "employee_address_id": 12, "employee_name": "Allison", "employee_phone": "+48(5)2807285053"}], "addresses": [{"address_id": 1, "address_details": "92283 Lora Forges Suite 322", "city": "Mohrville", "zip_postcode": "271", "state_province_county": "Nebraska", "country": "USA"}, {"address_id": 2, "address_details": "17135 Jaida Fork Suite 798", "city": "East Brody", "zip_postcode": "940", "state_province_county": "Colorado", "country": "USA"}, {"address_id": 3, "address_details": "41099 Crist Prairie Suite 507", "city": "Evelinebury", "zip_postcode": "003", "state_province_county": "Idaho", "country": "USA"}, {"address_id": 4, "address_details": "615 Adams Rue Apt. 095", "city": "Sawaynville", "zip_postcode": "575", "state_province_county": "Kentucky", "country": "USA"}, {"address_id": 5, "address_details": "045 Marquardt Village Suite 484", "city": "Carterside", "zip_postcode": "827", "state_province_county": "California", "country": "USA"}, {"address_id": 6, "address_details": "203 Joseph Hills", "city": "Giovannaton", "zip_postcode": "960", "state_province_county": "Tennessee", "country": "USA"}, {"address_id": 7, "address_details": "6187 Feil Extension Apt. 749", "city": "East Frederic", "zip_postcode": "674", "state_province_county": "Maine", "country": "USA"}, {"address_id": 8, "address_details": "185 Farrell Brooks Apt. 106", "city": "Mosciskimouth", "zip_postcode": "076", "state_province_county": "Illinois", "country": "USA"}, {"address_id": 9, "address_details": "3720 Pagac Hollow Apt. 131", "city": "Alvertatown", "zip_postcode": "234", "state_province_county": "Wyoming", "country": "USA"}, {"address_id": 10, "address_details": "57136 Eichmann Ranch Suite 091", "city": "Gerholdtown", "zip_postcode": "297", "state_province_county": "Illinois", "country": "USA"}, {"address_id": 11, "address_details": "3020 Steuber Gardens Apt. 620", "city": "Flossiefurt", "zip_postcode": "460", "state_province_county": "Michigan", "country": "USA"}, {"address_id": 12, "address_details": "2060 Hilpert Forge Apt. 379", "city": "Annietown", "zip_postcode": "491", "state_province_county": "Michigan", "country": "USA"}, {"address_id": 13, "address_details": "469 Roberts Mews", "city": "Lake Abbey", "zip_postcode": "838", "state_province_county": "Washington", "country": "USA"}, {"address_id": 14, "address_details": "8701 Myrtis Ranch", "city": "North Marquesfort", "zip_postcode": "940", "state_province_county": "Ohio", "country": "USA"}, {"address_id": 15, "address_details": "06959 Garett Meadows Apt. 259", "city": "New Lizziechester", "zip_postcode": "934", "state_province_county": "Massachusetts", "country": "USA"}]}, "correct_code": "-- Load customer_deliveries__employees data\nemployees = load(\"employees\")\n\nfiltered_employees = employees\n |> filter(employee_phone == \"(539)655-7194x3276\")\n\nsummary = filtered_employees\n |> group_by(employee_phone)\n |> aggregate(min_employee_address_id: min(employee_address_id), count: count())\n\nresult = summary\n |> sort_by(min_employee_address_id, desc)\n |> take(5)\n\nemit result", "buggy_code": "-- Load customer_deliveries__employees data\nemployees = load(\"employees\")\n\nfiltered_employees = employees\n |> filter(employee_phone == \"(539)655-7194x3276\")\n\nsummary = filtered_employees\n |> group_by(employee_phone)\n |> aggregate(min_employee_address_id: min(employee_address_id), count: count())\n\nresult = summary\n |> sort_by(min_employee_address_id, desc)\n |> taek(5)\n\nemit result", "expected_output": [{"employee_phone": "(539)655-7194x3276", "min_employee_address_id": 11, "count": 1}], "bug_info": [{"category": "syntax", "description": "Typo in keyword: 'take' \u2192 'taek'", "line_num": 13, "original": "|> take(5)", "mutated": "|> taek(5)"}], "difficulty": "easy", "domain": "customer_deliveries__employees", "num_nodes": 4, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_hard | {"datasets": {"catalog_contents_additional_attributes": [{"catalog_entry_id": 5, "catalog_level_number": 8, "attribute_id": 4, "attribute_value": "1"}, {"catalog_entry_id": 15, "catalog_level_number": 9, "attribute_id": 3, "attribute_value": "0"}, {"catalog_entry_id": 11, "catalog_level_number": 1, "attribute_id": 2, "attribute_value": "0"}, {"catalog_entry_id": 12, "catalog_level_number": 1, "attribute_id": 4, "attribute_value": "0"}, {"catalog_entry_id": 1, "catalog_level_number": 8, "attribute_id": 3, "attribute_value": "1"}, {"catalog_entry_id": 8, "catalog_level_number": 1, "attribute_id": 3, "attribute_value": "1"}, {"catalog_entry_id": 14, "catalog_level_number": 9, "attribute_id": 2, "attribute_value": "0"}, {"catalog_entry_id": 15, "catalog_level_number": 9, "attribute_id": 2, "attribute_value": "0"}, {"catalog_entry_id": 15, "catalog_level_number": 1, "attribute_id": 3, "attribute_value": "1"}, {"catalog_entry_id": 1, "catalog_level_number": 8, "attribute_id": 4, "attribute_value": "0"}, {"catalog_entry_id": 11, "catalog_level_number": 1, "attribute_id": 3, "attribute_value": "1"}, {"catalog_entry_id": 8, "catalog_level_number": 9, "attribute_id": 3, "attribute_value": "0"}, {"catalog_entry_id": 2, "catalog_level_number": 8, "attribute_id": 4, "attribute_value": "1"}, {"catalog_entry_id": 6, "catalog_level_number": 1, "attribute_id": 1, "attribute_value": "1"}, {"catalog_entry_id": 4, "catalog_level_number": 8, "attribute_id": 4, "attribute_value": "0"}], "catalog_contents": [{"catalog_entry_id": 1, "catalog_level_number": 1, "parent_entry_id": 5, "previous_entry_id": 9, "next_entry_id": 7, "catalog_entry_name": "Cola", "product_stock_number": "89 cp", "price_in_dollars": 200.78, "price_in_euros": 159.84, "price_in_pounds": 172.17, "capacity": "1", "length": "3", "height": "9", "width": "5"}, {"catalog_entry_id": 2, "catalog_level_number": 8, "parent_entry_id": 6, "previous_entry_id": 9, "next_entry_id": 8, "catalog_entry_name": "Root beer", "product_stock_number": "37 hq", "price_in_dollars": 687.59, "price_in_euros": 590.11, "price_in_pounds": 471.78, "capacity": "8", "length": "6", "height": "5", "width": "6"}, {"catalog_entry_id": 3, "catalog_level_number": 8, "parent_entry_id": 6, "previous_entry_id": 6, "next_entry_id": 1, "catalog_entry_name": "Cream Soda", "product_stock_number": "52 ee", "price_in_dollars": 360.5, "price_in_euros": 202.32, "price_in_pounds": 110.32, "capacity": "5", "length": "9", "height": "7", "width": "8"}, {"catalog_entry_id": 4, "catalog_level_number": 1, "parent_entry_id": 7, "previous_entry_id": 8, "next_entry_id": 6, "catalog_entry_name": "Carbonated Water", "product_stock_number": "15 mr", "price_in_dollars": 667.89, "price_in_euros": 458.45, "price_in_pounds": 349.01, "capacity": "8", "length": "6", "height": "2", "width": "1"}, {"catalog_entry_id": 5, "catalog_level_number": 9, "parent_entry_id": 4, "previous_entry_id": 7, "next_entry_id": 6, "catalog_entry_name": "Ginger Beer", "product_stock_number": "42 cp", "price_in_dollars": 616.22, "price_in_euros": 537.66, "price_in_pounds": 405.75, "capacity": "5", "length": "5", "height": "7", "width": "9"}, {"catalog_entry_id": 6, "catalog_level_number": 1, "parent_entry_id": 3, "previous_entry_id": 4, "next_entry_id": 8, "catalog_entry_name": "Tizer", "product_stock_number": "61 py", "price_in_dollars": 642.37, "price_in_euros": 434.21, "price_in_pounds": 331.43, "capacity": "6", "length": "6", "height": "7", "width": "1"}, {"catalog_entry_id": 7, "catalog_level_number": 9, "parent_entry_id": 7, "previous_entry_id": 3, "next_entry_id": 3, "catalog_entry_name": "Vimto", "product_stock_number": "01 ap", "price_in_dollars": 745.02, "price_in_euros": 510.32, "price_in_pounds": 497.4, "capacity": "6", "length": "9", "height": "6", "width": "5"}, {"catalog_entry_id": 8, "catalog_level_number": 8, "parent_entry_id": 6, "previous_entry_id": 5, "next_entry_id": 3, "catalog_entry_name": "Ramune", "product_stock_number": "53 bg", "price_in_dollars": 574.35, "price_in_euros": 441.82, "price_in_pounds": 440.52, "capacity": "4", "length": "4", "height": "7", "width": "5"}, {"catalog_entry_id": 9, "catalog_level_number": 1, "parent_entry_id": 7, "previous_entry_id": 9, "next_entry_id": 9, "catalog_entry_name": "Sprite Lemo", "product_stock_number": "24 ec", "price_in_dollars": 952.37, "price_in_euros": 703.17, "price_in_pounds": 433.82, "capacity": "8", "length": "7", "height": "1", "width": "3"}, {"catalog_entry_id": 10, "catalog_level_number": 8, "parent_entry_id": 5, "previous_entry_id": 6, "next_entry_id": 6, "catalog_entry_name": "Dr Pepper", "product_stock_number": "26 op", "price_in_dollars": 777.41, "price_in_euros": 616.54, "price_in_pounds": 572.41, "capacity": "1", "length": "6", "height": "1", "width": "6"}, {"catalog_entry_id": 11, "catalog_level_number": 1, "parent_entry_id": 3, "previous_entry_id": 6, "next_entry_id": 9, "catalog_entry_name": "Diet Pepsi", "product_stock_number": "49 jg", "price_in_dollars": 808.31, "price_in_euros": 643.77, "price_in_pounds": 515.62, "capacity": "9", "length": "8", "height": "3", "width": "3"}, {"catalog_entry_id": 12, "catalog_level_number": 8, "parent_entry_id": 4, "previous_entry_id": 5, "next_entry_id": 3, "catalog_entry_name": "Diet Mountain Dew", "product_stock_number": "96 zx", "price_in_dollars": 883.43, "price_in_euros": 752.87, "price_in_pounds": 678.01, "capacity": "8", "length": "8", "height": "1", "width": "3"}, {"catalog_entry_id": 13, "catalog_level_number": 1, "parent_entry_id": 5, "previous_entry_id": 9, "next_entry_id": 1, "catalog_entry_name": "Mountain Dew", "product_stock_number": "49 cz", "price_in_dollars": 475.79, "price_in_euros": 457.4, "price_in_pounds": 335.63, "capacity": "7", "length": "8", "height": "4", "width": "5"}, {"catalog_entry_id": 14, "catalog_level_number": 9, "parent_entry_id": 3, "previous_entry_id": 5, "next_entry_id": 8, "catalog_entry_name": "Fenta Orange", "product_stock_number": "65 wc", "price_in_dollars": 415.92, "price_in_euros": 385.85, "price_in_pounds": 371.9, "capacity": "7", "length": "4", "height": "3", "width": "7"}, {"catalog_entry_id": 15, "catalog_level_number": 1, "parent_entry_id": 6, "previous_entry_id": 8, "next_entry_id": 9, "catalog_entry_name": "Wanglaoji", "product_stock_number": "51 kr", "price_in_dollars": 533.6, "price_in_euros": 498.62, "price_in_pounds": 422.71, "capacity": "4", "length": "5", "height": "8", "width": "8"}]}, "correct_code": "-- Load product_catalog__catalog_contents_additional_attributes data\ncatalog_contents_additional_attributes = load(\"catalog_contents_additional_attributes\")\n\nfiltered_catalog_contents_additional_attributes = catalog_contents_additional_attributes\n |> filter(attribute_value == \"1\")\n |> select(attribute_value, catalog_entry_id)\n\n-- Load lookup data\ncatalog_contents = load(\"catalog_contents\")\n\nenriched = join(filtered_catalog_contents_additional_attributes, catalog_contents, on: catalog_entry_id == catalog_entry_id)\n |> compute(computed_val: catalog_entry_id * catalog_level_number)\n\nresult = enriched\n |> sort_by(catalog_level_number, desc)\n |> take(5)\n\nemit result", "buggy_code": "-- Load product_catalog__catalog_contents_additional_attributes data\ncatalog_contents_additional_attributes = load(\"catalog_contents_additional_attributes\")\n\nfiltered_catalog_contents_additional_attributes = catalog_contents_additional_attributes\n |> filter(attribute_value == \"1x\")\n |> select(attribute_value, catalog_entry_id)\n\n-- Load lookup data\ncatalog_contents = load(\"catalog_contents\")\n\nenriched = join(filtered_catalog_contents_additional_attributes, catalog_contents, on: catalog_entry_id == catalog_entry_id)\n |> compute(computed_val: catalog_entry_id * catalog_level_number)\n\nresult = enriched\n |> sort_by(catalog_level_number, desc)\n |> take(5)\n\nemit result", "expected_output": [{"attribute_value": "1", "catalog_entry_id": 5, "catalog_level_number": 9, "parent_entry_id": 4, "previous_entry_id": 7, "next_entry_id": 6, "catalog_entry_name": "Ginger Beer", "product_stock_number": "42 cp", "price_in_dollars": 616.22, "price_in_euros": 537.66, "price_in_pounds": 405.75, "capacity": "5", "length": "5", "height": "7", "width": "9", "computed_val": 45}, {"attribute_value": "1", "catalog_entry_id": 8, "catalog_level_number": 8, "parent_entry_id": 6, "previous_entry_id": 5, "next_entry_id": 3, "catalog_entry_name": "Ramune", "product_stock_number": "53 bg", "price_in_dollars": 574.35, "price_in_euros": 441.82, "price_in_pounds": 440.52, "capacity": "4", "length": "4", "height": "7", "width": "5", "computed_val": 64}, {"attribute_value": "1", "catalog_entry_id": 2, "catalog_level_number": 8, "parent_entry_id": 6, "previous_entry_id": 9, "next_entry_id": 8, "catalog_entry_name": "Root beer", "product_stock_number": "37 hq", "price_in_dollars": 687.59, "price_in_euros": 590.11, "price_in_pounds": 471.78, "capacity": "8", "length": "6", "height": "5", "width": "6", "computed_val": 16}, {"attribute_value": "1", "catalog_entry_id": 1, "catalog_level_number": 1, "parent_entry_id": 5, "previous_entry_id": 9, "next_entry_id": 7, "catalog_entry_name": "Cola", "product_stock_number": "89 cp", "price_in_dollars": 200.78, "price_in_euros": 159.84, "price_in_pounds": 172.17, "capacity": "1", "length": "3", "height": "9", "width": "5", "computed_val": 1}, {"attribute_value": "1", "catalog_entry_id": 15, "catalog_level_number": 1, "parent_entry_id": 6, "previous_entry_id": 8, "next_entry_id": 9, "catalog_entry_name": "Wanglaoji", "product_stock_number": "51 kr", "price_in_dollars": 533.6, "price_in_euros": 498.62, "price_in_pounds": 422.71, "capacity": "4", "length": "5", "height": "8", "width": "8", "computed_val": 15}], "bug_info": [{"category": "logic_bug", "description": "Wrong filter value: '1' \u2192 '1x'", "line_num": 5, "original": "|> filter(attribute_value == \"1\")", "mutated": "|> filter(attribute_value == \"1x\")"}], "difficulty": "hard", "domain": "product_catalog__catalog_contents_additional_attributes", "num_nodes": 5, "has_join": true} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_hard | {"datasets": {"advisor": [{"s_id": "24746", "i_id": "19368"}, {"s_id": "79352", "i_id": "95030"}, {"s_id": "76672", "i_id": "22591"}, {"s_id": "14182", "i_id": "77346"}, {"s_id": "44985", "i_id": "31955"}, {"s_id": "96052", "i_id": "73623"}, {"s_id": "35175", "i_id": "90643"}, {"s_id": "44271", "i_id": "58558"}, {"s_id": "40897", "i_id": "73623"}, {"s_id": "92839", "i_id": "25946"}, {"s_id": "79329", "i_id": "58558"}, {"s_id": "97101", "i_id": "48570"}, {"s_id": "24865", "i_id": "6569"}, {"s_id": "36052", "i_id": "31955"}, {"s_id": "98940", "i_id": "99052"}, {"s_id": "21395", "i_id": "58558"}, {"s_id": "55859", "i_id": "28097"}, {"s_id": "74016", "i_id": "74420"}, {"s_id": "93061", "i_id": "64871"}, {"s_id": "94998", "i_id": "50330"}, {"s_id": "30772", "i_id": "57180"}, {"s_id": "1968", "i_id": "3335"}, {"s_id": "90567", "i_id": "48507"}, {"s_id": "49611", "i_id": 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"72979", "i_id": "41930"}, {"s_id": "32506", "i_id": "28097"}, {"s_id": "31690", "i_id": "14365"}, {"s_id": "87044", "i_id": "36897"}, {"s_id": "34236", "i_id": "57180"}, {"s_id": "18808", "i_id": "77346"}, {"s_id": "91063", "i_id": "52647"}, {"s_id": "48462", "i_id": "52647"}, {"s_id": "41965", "i_id": "65931"}, {"s_id": "31137", "i_id": "50330"}, {"s_id": "7602", "i_id": "63287"}, {"s_id": "84845", "i_id": "6569"}, {"s_id": "28252", "i_id": "90643"}, {"s_id": "10736", "i_id": "90643"}, {"s_id": "58465", "i_id": "59795"}, {"s_id": "64140", "i_id": "52647"}, {"s_id": "6523", "i_id": "43779"}, {"s_id": "64067", "i_id": "77346"}, {"s_id": "99399", "i_id": "4034"}, {"s_id": "21337", "i_id": "43779"}, {"s_id": "15457", "i_id": "95709"}, {"s_id": "26102", "i_id": "99052"}, {"s_id": "31337", "i_id": "50330"}, {"s_id": "67425", "i_id": "42782"}, {"s_id": "48640", "i_id": "3335"}, {"s_id": "72741", "i_id": "80759"}, {"s_id": "29803", "i_id": "3199"}, {"s_id": "38895", "i_id": "15347"}, {"s_id": "49391", "i_id": "16807"}, {"s_id": "13741", "i_id": "4034"}, {"s_id": "59538", "i_id": "42782"}, {"s_id": "9360", "i_id": "28097"}, {"s_id": "53728", "i_id": "57180"}, {"s_id": "77898", "i_id": "15347"}, {"s_id": "32419", "i_id": "95030"}, {"s_id": "37521", "i_id": "4034"}, {"s_id": "97065", "i_id": "79653"}], "instructor": [{"id": "63395", "name": "McKinnon", "dept_name": "Cybernetics", "salary": 94333.99}, {"id": "78699", "name": "Pingr", "dept_name": "Statistics", "salary": 59303.62}, {"id": "96895", "name": "Mird", "dept_name": "Marketing", "salary": 119921.41}, {"id": "4233", "name": "Luo", "dept_name": "English", "salary": 88791.45}, {"id": "4034", "name": "Murata", "dept_name": "Athletics", "salary": 61387.56}, {"id": "50885", "name": "Konstantinides", "dept_name": "Languages", "salary": 32570.5}, {"id": "79653", "name": "Levine", "dept_name": "Elec. Eng.", "salary": 89805.83}, {"id": "50330", "name": "Shuming", "dept_name": "Physics", "salary": 108011.81}, {"id": "80759", "name": "Queiroz", "dept_name": "Biology", "salary": 45538.32}, {"id": "73623", "name": "Sullivan", "dept_name": "Elec. Eng.", "salary": 90038.09}, {"id": "97302", "name": "Bertolino", "dept_name": "Mech. Eng.", "salary": 51647.57}, {"id": "57180", "name": "Hau", "dept_name": "Accounting", "salary": 43966.29}, {"id": "74420", "name": "Voronina", "dept_name": "Physics", "salary": 121141.99}, {"id": "35579", "name": "Soisalon-Soininen", "dept_name": "Psychology", "salary": 62579.61}, {"id": "31955", "name": "Moreira", "dept_name": "Accounting", "salary": 71351.42}, {"id": "37687", "name": "Arias", "dept_name": "Statistics", "salary": 104563.38}, {"id": "6569", "name": "Mingoz", "dept_name": "Finance", "salary": 105311.38}, {"id": "16807", "name": "Yazdi", "dept_name": "Athletics", "salary": 98333.65}, {"id": "14365", "name": "Lembr", "dept_name": "Accounting", "salary": 32241.56}, {"id": "90643", "name": "Choll", "dept_name": "Statistics", "salary": 57807.09}, {"id": "81991", "name": "Valtchev", "dept_name": "Biology", "salary": 77036.18}, {"id": "95030", "name": "Arinb", "dept_name": "Statistics", "salary": 54805.11}, {"id": "15347", "name": "Bawa", "dept_name": "Athletics", "salary": 72140.88}, {"id": "74426", "name": "Kenje", "dept_name": "Marketing", "salary": 106554.73}, {"id": "42782", "name": "Vicentino", "dept_name": "Elec. Eng.", "salary": 34272.67}, {"id": "58558", "name": "Dusserre", "dept_name": "Marketing", "salary": 66143.25}, {"id": "63287", "name": "Jaekel", "dept_name": "Athletics", "salary": 103146.87}, {"id": "59795", "name": "Desyl", "dept_name": "Languages", "salary": 48803.38}, {"id": "22591", "name": "DAgostino", "dept_name": "Psychology", "salary": 59706.49}, {"id": "48570", "name": "Sarkar", "dept_name": "Pol. Sci.", "salary": 87549.8}, {"id": "79081", "name": "Ullman ", "dept_name": "Accounting", "salary": 47307.1}, {"id": "52647", "name": "Bancilhon", "dept_name": "Pol. Sci.", "salary": 87958.01}, {"id": "25946", "name": "Liley", "dept_name": "Languages", "salary": 90891.69}, {"id": "36897", "name": "Morris", "dept_name": "Marketing", "salary": 43770.36}, {"id": "72553", "name": "Yin", "dept_name": "English", "salary": 46397.59}, {"id": "3199", "name": "Gustafsson", "dept_name": "Elec. Eng.", "salary": 82534.37}, {"id": "34175", "name": "Bondi", "dept_name": "Comp. Sci.", "salary": 115469.11}, {"id": "48507", "name": "Lent", "dept_name": "Mech. Eng.", "salary": 107978.47}, {"id": "65931", "name": "Pimenta", "dept_name": "Cybernetics", "salary": 79866.95}, {"id": "3335", "name": "Bourrier", "dept_name": "Comp. Sci.", "salary": 80797.83}, {"id": "64871", "name": "Gutierrez", "dept_name": "Statistics", "salary": 45310.53}, {"id": "95709", "name": "Sakurai", "dept_name": "English", "salary": 118143.98}, {"id": "43779", "name": "Romero", "dept_name": "Astronomy", "salary": 79070.08}, {"id": "77346", "name": "Mahmoud", "dept_name": "Geology", "salary": 99382.59}, {"id": "28097", "name": "Kean", "dept_name": "English", "salary": 35023.18}, {"id": "90376", "name": "Bietzk", "dept_name": "Cybernetics", "salary": 117836.5}, {"id": "28400", "name": "Atanassov", "dept_name": "Statistics", "salary": 84982.92}, {"id": "41930", "name": "Tung", "dept_name": "Athletics", "salary": 50482.03}, {"id": "19368", "name": "Wieland", "dept_name": "Pol. Sci.", "salary": 124651.41}, {"id": "99052", "name": "Dale", "dept_name": "Cybernetics", "salary": 93348.83}]}, "correct_code": "-- Load college_2__advisor data\nadvisor = load(\"advisor\")\n |> select(s_id, i_id)\n\nemit advisor", "buggy_code": "-- Load college_2__advisor data\nadvisor = load(\"advisor\")\n |> select(i_id, i_id)\n\nemit advisor", "expected_output": [{"s_id": "24746", "i_id": "19368"}, {"s_id": "79352", "i_id": "95030"}, {"s_id": "76672", "i_id": "22591"}, {"s_id": "14182", "i_id": "77346"}, {"s_id": "44985", "i_id": "31955"}, {"s_id": "96052", "i_id": "73623"}, {"s_id": "35175", "i_id": "90643"}, {"s_id": "44271", "i_id": "58558"}, {"s_id": "40897", "i_id": "73623"}, {"s_id": "92839", "i_id": "25946"}, {"s_id": "79329", "i_id": "58558"}, {"s_id": "97101", "i_id": "48570"}, {"s_id": "24865", "i_id": "6569"}, {"s_id": "36052", "i_id": "31955"}, {"s_id": "98940", "i_id": "99052"}, {"s_id": "21395", "i_id": "58558"}, {"s_id": "55859", "i_id": "28097"}, {"s_id": "74016", "i_id": "74420"}, {"s_id": "93061", "i_id": "64871"}, {"s_id": "94998", "i_id": "50330"}, {"s_id": "30772", "i_id": "57180"}, {"s_id": "1968", "i_id": "3335"}, {"s_id": "90567", "i_id": "48507"}, {"s_id": "49611", "i_id": "58558"}, {"s_id": "81538", "i_id": "59795"}, {"s_id": "68999", "i_id": "6569"}, {"s_id": "74639", "i_id": "41930"}, {"s_id": "66054", "i_id": "25946"}, {"s_id": "792", "i_id": "48507"}, {"s_id": "60267", "i_id": "81991"}, {"s_id": "17769", "i_id": "36897"}, {"s_id": "39580", "i_id": "3199"}, {"s_id": "89106", "i_id": "15347"}, {"s_id": "37856", "i_id": "25946"}, {"s_id": "58307", "i_id": "48507"}, {"s_id": "57985", "i_id": "52647"}, {"s_id": "72014", "i_id": "22591"}, {"s_id": "2795", "i_id": "28400"}, {"s_id": "89000", "i_id": "58558"}, {"s_id": "46442", "i_id": "48570"}, {"s_id": "60040", "i_id": "15347"}, {"s_id": "19791", "i_id": "59795"}, {"s_id": "4582", "i_id": "64871"}, {"s_id": "108", "i_id": "77346"}, {"s_id": "1533", "i_id": "50885"}, {"s_id": "7123", "i_id": "65931"}, {"s_id": "44584", "i_id": "64871"}, {"s_id": "32954", "i_id": "90376"}, {"s_id": "98056", "i_id": "73623"}, {"s_id": "76953", "i_id": "79081"}, {"s_id": "81884", "i_id": "3199"}, {"s_id": "22057", "i_id": "48507"}, {"s_id": "21126", "i_id": "52647"}, {"s_id": "82918", "i_id": "81991"}, {"s_id": "4173", "i_id": "25946"}, {"s_id": "83022", "i_id": "64871"}, {"s_id": "25525", "i_id": "96895"}, {"s_id": "75040", "i_id": "80759"}, {"s_id": "31624", "i_id": "41930"}, {"s_id": "64893", "i_id": "96895"}, {"s_id": "59920", "i_id": "72553"}, {"s_id": "38602", "i_id": "77346"}, {"s_id": "21401", "i_id": "79081"}, {"s_id": "93004", "i_id": "15347"}, {"s_id": "38899", "i_id": "37687"}, {"s_id": "75241", "i_id": "28097"}, {"s_id": "98830", "i_id": "80759"}, {"s_id": "37101", "i_id": "80759"}, {"s_id": "4508", "i_id": "28097"}, {"s_id": "32130", "i_id": "16807"}, {"s_id": "56755", "i_id": "79653"}, {"s_id": "11510", "i_id": "95709"}, {"s_id": "3335", "i_id": "74420"}, {"s_id": "61081", "i_id": "80759"}, {"s_id": "33651", "i_id": "96895"}, {"s_id": "8251", "i_id": "73623"}, {"s_id": "10705", "i_id": "6569"}, {"s_id": "64082", "i_id": "74426"}, {"s_id": "59517", "i_id": "34175"}, {"s_id": "91569", "i_id": "14365"}, {"s_id": "88085", "i_id": "28400"}, {"s_id": "96722", "i_id": "58558"}, {"s_id": "36379", "i_id": "42782"}, {"s_id": "69581", "i_id": "25946"}, {"s_id": "65329", "i_id": "3335"}, {"s_id": "49214", "i_id": "4034"}, {"s_id": "64155", "i_id": "36897"}, {"s_id": "58594", "i_id": "74420"}, {"s_id": "71904", "i_id": "95030"}, {"s_id": "69241", "i_id": "72553"}, {"s_id": "58889", "i_id": "3335"}, {"s_id": "30341", "i_id": "79081"}, {"s_id": "70688", "i_id": "97302"}, {"s_id": "81258", "i_id": "58558"}, {"s_id": "63090", "i_id": "25946"}, {"s_id": "70572", "i_id": "35579"}, {"s_id": "58413", "i_id": "28400"}, {"s_id": "93171", "i_id": "6569"}, {"s_id": "35138", "i_id": "41930"}, {"s_id": "77289", "i_id": "59795"}, {"s_id": "93571", "i_id": "57180"}, {"s_id": "14554", "i_id": "22591"}, {"s_id": "46725", "i_id": "90376"}, {"s_id": "99730", "i_id": "3199"}, {"s_id": "10527", "i_id": "36897"}, {"s_id": "898", "i_id": "22591"}, {"s_id": "64297", "i_id": "43779"}, {"s_id": "10204", "i_id": "65931"}, {"s_id": "36926", "i_id": "43779"}, {"s_id": "49618", "i_id": "74426"}, {"s_id": "34329", "i_id": "81991"}, {"s_id": "84410", "i_id": "81991"}, {"s_id": "29435", "i_id": "77346"}, {"s_id": "62636", "i_id": "79081"}, {"s_id": "8483", "i_id": "74426"}, {"s_id": "2177", "i_id": "50330"}, {"s_id": "43348", "i_id": "81991"}, {"s_id": "37430", "i_id": "41930"}, {"s_id": "37586", "i_id": "81991"}, {"s_id": "55238", "i_id": "35579"}, {"s_id": "34404", "i_id": "74426"}, {"s_id": "59539", "i_id": "28400"}, {"s_id": "43123", "i_id": "95030"}, {"s_id": "19582", "i_id": "96895"}, {"s_id": "88553", "i_id": "31955"}, {"s_id": "5898", "i_id": "34175"}, {"s_id": "2419", "i_id": "73623"}, {"s_id": "31516", "i_id": "95030"}, {"s_id": "3487", "i_id": "4034"}, {"s_id": "66269", "i_id": "58558"}, {"s_id": "54622", "i_id": "4034"}, {"s_id": "19638", "i_id": "4034"}, {"s_id": "88418", "i_id": "57180"}, {"s_id": "86802", "i_id": "35579"}, {"s_id": "63361", "i_id": "90643"}, {"s_id": "6367", "i_id": "14365"}, {"s_id": "84239", "i_id": "22591"}, {"s_id": "4940", "i_id": "15347"}, {"s_id": "90663", "i_id": "77346"}, {"s_id": "38476", "i_id": "95030"}, {"s_id": "96003", "i_id": "3335"}, {"s_id": "64914", "i_id": "14365"}, {"s_id": "41599", "i_id": "48507"}, {"s_id": "22226", "i_id": "64871"}, {"s_id": "96153", "i_id": "28097"}, {"s_id": "44998", "i_id": "36897"}, {"s_id": "74163", "i_id": "80759"}, {"s_id": "75046", "i_id": "16807"}, {"s_id": "97679", "i_id": "43779"}, {"s_id": "94894", "i_id": "78699"}, {"s_id": "44881", "i_id": "22591"}, {"s_id": "98619", "i_id": "77346"}, {"s_id": "86753", "i_id": "22591"}, {"s_id": "87054", "i_id": "35579"}, {"s_id": "39046", "i_id": "19368"}, {"s_id": "29031", "i_id": "78699"}, {"s_id": "97355", "i_id": "28400"}, {"s_id": "24010", "i_id": "80759"}, {"s_id": "21789", "i_id": "63395"}, {"s_id": "52157", "i_id": "65931"}, {"s_id": "64938", "i_id": "52647"}, {"s_id": "94535", "i_id": "50885"}, {"s_id": "58595", "i_id": "31955"}, {"s_id": "72979", "i_id": "41930"}, {"s_id": "32506", "i_id": "28097"}, {"s_id": "31690", "i_id": "14365"}, {"s_id": "87044", "i_id": "36897"}, {"s_id": "34236", "i_id": "57180"}, {"s_id": "18808", "i_id": "77346"}, {"s_id": "91063", "i_id": "52647"}, {"s_id": "48462", "i_id": "52647"}, {"s_id": "41965", "i_id": "65931"}, {"s_id": "31137", "i_id": "50330"}, {"s_id": "7602", "i_id": "63287"}, {"s_id": "84845", "i_id": "6569"}, {"s_id": "28252", "i_id": "90643"}, {"s_id": "10736", "i_id": "90643"}, {"s_id": "58465", "i_id": "59795"}, {"s_id": "64140", "i_id": "52647"}, {"s_id": "6523", "i_id": "43779"}, {"s_id": "64067", "i_id": "77346"}, {"s_id": "99399", "i_id": "4034"}, {"s_id": "21337", "i_id": "43779"}, {"s_id": "15457", "i_id": "95709"}, {"s_id": "26102", "i_id": "99052"}, {"s_id": "31337", "i_id": "50330"}, {"s_id": "67425", "i_id": "42782"}, {"s_id": "48640", "i_id": "3335"}, {"s_id": "72741", "i_id": "80759"}, {"s_id": "29803", "i_id": "3199"}, {"s_id": "38895", "i_id": "15347"}, {"s_id": "49391", "i_id": "16807"}, {"s_id": "13741", "i_id": "4034"}, {"s_id": "59538", "i_id": "42782"}, {"s_id": "9360", "i_id": "28097"}, {"s_id": "53728", "i_id": "57180"}, {"s_id": "77898", "i_id": "15347"}, {"s_id": "32419", "i_id": "95030"}, {"s_id": "37521", "i_id": "4034"}, {"s_id": "97065", "i_id": "79653"}], "bug_info": [{"category": "wrong_col", "description": "Wrong column reference: 's_id' \u2192 'i_id'", "line_num": 3, "original": "|> select(s_id, i_id)", "mutated": "|> select(i_id, i_id)"}], "difficulty": "hard", "domain": "college_2__advisor", "num_nodes": 1, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_medium | {"datasets": {"treatments": [{"treatment_id": 1, "dog_id": 14, "professional_id": 9, "treatment_type_code": "WALK", "date_of_treatment": "2018-03-19 04:39:54", "cost_of_treatment": 567}, {"treatment_id": 2, "dog_id": 4, "professional_id": 10, "treatment_type_code": "VAC", "date_of_treatment": "2018-03-15 20:25:34", "cost_of_treatment": 147}, {"treatment_id": 3, "dog_id": 14, "professional_id": 4, "treatment_type_code": "EXAM", "date_of_treatment": "2018-03-08 05:26:23", "cost_of_treatment": 429}, {"treatment_id": 4, "dog_id": 2, "professional_id": 8, "treatment_type_code": "VAC", "date_of_treatment": "2018-03-01 04:14:46", "cost_of_treatment": 266}, {"treatment_id": 5, "dog_id": 12, "professional_id": 14, "treatment_type_code": "VAC", "date_of_treatment": "2018-03-23 13:52:10", "cost_of_treatment": 668}, {"treatment_id": 6, "dog_id": 10, "professional_id": 4, "treatment_type_code": "EXAM", "date_of_treatment": "2018-03-11 04:23:15", "cost_of_treatment": 313}, {"treatment_id": 7, "dog_id": 15, "professional_id": 14, "treatment_type_code": "EXAM", "date_of_treatment": "2018-03-10 11:45:58", "cost_of_treatment": 852}, {"treatment_id": 8, "dog_id": 2, "professional_id": 6, "treatment_type_code": "EXAM", "date_of_treatment": "2018-03-24 22:25:58", "cost_of_treatment": 407}, {"treatment_id": 9, "dog_id": 14, "professional_id": 10, "treatment_type_code": "WALK", "date_of_treatment": "2018-03-14 19:10:40", "cost_of_treatment": 139}, {"treatment_id": 10, "dog_id": 10, "professional_id": 7, "treatment_type_code": "WALK", "date_of_treatment": "2018-02-28 17:09:43", "cost_of_treatment": 681}, {"treatment_id": 11, "dog_id": 15, "professional_id": 5, "treatment_type_code": "VAC", "date_of_treatment": "2018-03-13 12:22:58", "cost_of_treatment": 514}, {"treatment_id": 12, "dog_id": 13, "professional_id": 9, "treatment_type_code": "EXAM", "date_of_treatment": "2018-03-16 10:27:36", "cost_of_treatment": 428}, {"treatment_id": 13, "dog_id": 7, "professional_id": 8, "treatment_type_code": "VAC", "date_of_treatment": "2018-02-26 09:08:53", "cost_of_treatment": 945}, {"treatment_id": 14, "dog_id": 10, "professional_id": 9, "treatment_type_code": "WALK", "date_of_treatment": "2018-03-04 20:33:43", "cost_of_treatment": 349}, {"treatment_id": 15, "dog_id": 1, "professional_id": 6, "treatment_type_code": "WALK", "date_of_treatment": "2018-03-15 19:10:02", "cost_of_treatment": 656}], "treatment_types": [{"treatment_type_code": "EXAM", "treatment_type_description": "Physical examination"}, {"treatment_type_code": "VAC", "treatment_type_description": "Vaccination"}, {"treatment_type_code": "WALK", "treatment_type_description": "Take for a Walk"}]}, "correct_code": "-- Load dog_kennels__treatments data\ntreatments = load(\"treatments\")\n |> select(treatment_id, treatment_type_code, date_of_treatment)\n\nresult = treatments\n |> sort_by(treatment_id, asc)\n |> take(5)\n\nemit result", "buggy_code": "-- Load dog_kennels__treatments data\ntreatments = load(\"treatments\")\n |> select(treatment_id, treatment_type_code, date_of_treatment)\n\nresult = treatments\n |> sort_by(treatment_id, desc)\n |> take(5)\n\nemit result", "expected_output": [{"treatment_id": 1, "treatment_type_code": "WALK", "date_of_treatment": "2018-03-19 04:39:54"}, {"treatment_id": 2, "treatment_type_code": "VAC", "date_of_treatment": "2018-03-15 20:25:34"}, {"treatment_id": 3, "treatment_type_code": "EXAM", "date_of_treatment": "2018-03-08 05:26:23"}, {"treatment_id": 4, "treatment_type_code": "VAC", "date_of_treatment": "2018-03-01 04:14:46"}, {"treatment_id": 5, "treatment_type_code": "VAC", "date_of_treatment": "2018-03-23 13:52:10"}], "bug_info": [{"category": "wrong_arg", "description": "Wrong sort order: 'asc' \u2192 'desc'", "line_num": 6, "original": "|> sort_by(treatment_id, asc)", "mutated": "|> sort_by(treatment_id, desc)"}], "difficulty": "medium", "domain": "dog_kennels__treatments", "num_nodes": 2, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_hard | {"datasets": {"customer_addresses": [{"customer_id": 5, "address_id": 6, "date_from": "2016-09-06 19:23:46", "address_type": "House", "date_to": "2018-02-25 15:34:58"}, {"customer_id": 14, "address_id": 5, "date_from": "2016-12-21 03:49:54", "address_type": "House", "date_to": "2018-03-13 21:20:21"}, {"customer_id": 2, "address_id": 2, "date_from": "2014-06-09 06:31:49", "address_type": "Flat", "date_to": "2018-03-02 21:56:40"}, {"customer_id": 10, "address_id": 6, "date_from": "2011-05-24 21:49:34", "address_type": "House", "date_to": "2018-03-18 12:45:44"}, {"customer_id": 14, "address_id": 2, "date_from": "2011-12-06 16:49:10", "address_type": "Flat", "date_to": "2018-02-24 20:18:08"}, {"customer_id": 10, "address_id": 1, "date_from": "2012-05-24 11:47:54", "address_type": "House", "date_to": "2018-03-14 20:26:33"}, {"customer_id": 7, "address_id": 3, "date_from": "2016-08-17 17:45:20", "address_type": "Flat", "date_to": "2018-03-16 14:09:24"}, {"customer_id": 4, "address_id": 9, "date_from": "2009-08-03 03:17:03", "address_type": "House", "date_to": "2018-03-15 23:45:59"}, {"customer_id": 3, "address_id": 7, "date_from": "2010-12-29 11:01:39", "address_type": "House", "date_to": "2018-03-22 02:54:10"}, {"customer_id": 12, "address_id": 6, "date_from": "2012-08-31 15:41:03", "address_type": "Flat", "date_to": "2018-03-02 23:42:49"}, {"customer_id": 12, "address_id": 11, "date_from": "2008-04-02 08:23:13", "address_type": "Apartment", "date_to": "2018-03-17 12:51:37"}, {"customer_id": 14, "address_id": 10, "date_from": "2011-08-18 09:40:49", "address_type": "House", "date_to": "2018-03-06 15:48:13"}, {"customer_id": 1, "address_id": 11, "date_from": "2014-12-20 18:58:32", "address_type": "House", "date_to": "2018-02-27 00:53:48"}, {"customer_id": 8, "address_id": 6, "date_from": "2013-05-06 00:49:45", "address_type": "Flat", "date_to": "2018-03-05 01:34:02"}, {"customer_id": 12, "address_id": 5, "date_from": "2017-11-01 10:59:35", "address_type": "Flat", "date_to": "2018-03-09 05:05:17"}], "customers": [{"customer_id": 1, "payment_method": "Visa", "customer_name": "Ron Emard", "customer_phone": "1-382-503-5179x53639", "customer_email": "shaniya45@example.net", "date_became_customer": "2011-04-25 22:20:35"}, {"customer_id": 2, "payment_method": "MasterCard", "customer_name": "Gabe Schroeder", "customer_phone": "1-728-537-4293x0885", "customer_email": "alexandra91@example.net", "date_became_customer": "2011-10-17 16:08:25"}, {"customer_id": 3, "payment_method": "Discover", "customer_name": "Candace Schneider", "customer_phone": "940.575.3682x7959", "customer_email": "tkassulke@example.com", "date_became_customer": "2012-01-11 21:17:01"}, {"customer_id": 4, "payment_method": "Visa", "customer_name": "Jaden Lang", "customer_phone": "361.151.3489x7272", "customer_email": "dedric17@example.org", "date_became_customer": "2009-12-29 17:38:10"}, {"customer_id": 5, "payment_method": "Visa", "customer_name": "Geovanni Grady", "customer_phone": "1-005-644-2495", "customer_email": "elmira.langworth@example.org", "date_became_customer": "2017-05-21 07:09:55"}, {"customer_id": 6, "payment_method": "Visa", "customer_name": "Dr. Karine Farrell", "customer_phone": "+49(2)0677806107", "customer_email": "reichel.winnifred@example.org", "date_became_customer": "2010-11-06 08:42:56"}, {"customer_id": 7, "payment_method": "Discover", "customer_name": "Emmanuel Reilly", "customer_phone": "129.959.6420", "customer_email": "gleichner.ethelyn@example.net", "date_became_customer": "2013-11-29 06:15:22"}, {"customer_id": 8, "payment_method": "MasterCard", "customer_name": "Keenan Kuhic", "customer_phone": "686-517-9923x348", "customer_email": "dallin76@example.org", "date_became_customer": "2013-04-09 18:17:05"}, {"customer_id": 9, "payment_method": "American", "customer_name": "Rusty Morar", "customer_phone": "1-123-197-9677x7194", "customer_email": "njenkins@example.org", "date_became_customer": "2015-09-09 09:29:06"}, {"customer_id": 10, "payment_method": "Visa", "customer_name": "Lila Howe", "customer_phone": "1-492-284-1097", "customer_email": "leann.hamill@example.org", "date_became_customer": "2014-02-04 04:51:58"}, {"customer_id": 11, "payment_method": "Visa", "customer_name": "Amalia Hudson DDS", "customer_phone": "003-991-1506x483", "customer_email": "danika49@example.com", "date_became_customer": "2014-02-25 19:39:51"}, {"customer_id": 12, "payment_method": "Discover", "customer_name": "Verda Streich", "customer_phone": "06730471330", "customer_email": "xgraham@example.org", "date_became_customer": "2008-10-12 12:19:27"}, {"customer_id": 13, "payment_method": "Discover", "customer_name": "Patience Yundt", "customer_phone": "969-208-8932x715", "customer_email": "kira82@example.com", "date_became_customer": "2017-03-25 18:48:04"}, {"customer_id": 14, "payment_method": "Visa", "customer_name": "Annabell Walsh", "customer_phone": "(881)096-1281x6448", "customer_email": "adriana83@example.org", "date_became_customer": "2017-06-30 19:02:11"}, {"customer_id": 15, "payment_method": "Visa", "customer_name": "Aracely Borer V", "customer_phone": "531-617-3230", "customer_email": "rollin95@example.net", "date_became_customer": "2015-09-13 22:39:50"}]}, "correct_code": "-- Load customer_deliveries__customer_addresses data\ncustomer_addresses = load(\"customer_addresses\")\n\nfiltered_customer_addresses = customer_addresses\n |> filter(date_from == \"2012-05-24 11:47:54\")\n\nsummary = filtered_customer_addresses\n |> group_by(date_from)\n |> aggregate(avg_address_id: avg(address_id), count: count())\n |> compute(computed_val: avg_address_id + count)\n\nresult = summary\n |> sort_by(avg_address_id, desc)\n |> take(5)\n\nemit result", "buggy_code": "-- Load customer_deliveries__customer_addresses data\ncustomer_addresses = load(\"customer_addresses\")\n\nfiltered_customer_addresses = customer_addresses\n |> filter(date_from == \"2012-05-24 11:47:54\")\n\nsummary = filtered_customer_addresses\n |> group_by(date_from)\n |> aggregate(avg_address_id: avg(address_id), count: count())\n |> compute(computed_val: 11 + count)\n\nresult = summary\n |> sort_by(avg_address_id, desc)\n |> take(5)\n\nemit result", "expected_output": [{"date_from": "2012-05-24 11:47:54", "avg_address_id": 1.0, "count": 1, "computed_val": 2.0}], "bug_info": [{"category": "wrong_col", "description": "Wrong column reference: 'avg_address_id' \u2192 '11'", "line_num": 10, "original": "|> compute(computed_val: avg_address_id + count)", "mutated": "|> compute(computed_val: 11 + count)"}], "difficulty": "hard", "domain": "customer_deliveries__customer_addresses", "num_nodes": 4, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_medium | {"datasets": {"faculty": [{"facid": 1082, "lname": "Giuliano", "fname": "Mark", "rank": "Instructor", "sex": "M", "phone": 2424, "room": "224", "building": "NEB"}, {"facid": 1121, "lname": "Goodrich", "fname": "Michael", "rank": "Professor", "sex": "M", "phone": 3593, "room": "219", "building": "NEB"}, {"facid": 1148, "lname": "Masson", "fname": "Gerald", "rank": "Professor", "sex": "M", "phone": 3402, "room": "224B", "building": "NEB"}, {"facid": 1172, "lname": "Runolfsson", "fname": "Thordur", "rank": "AssocProf", "sex": "M", "phone": 3121, "room": "119", "building": "Barton"}, {"facid": 1177, "lname": "Naiman", "fname": "Daniel", "rank": "Professor", "sex": "M", "phone": 3571, "room": "288", "building": "Krieger"}, {"facid": 1193, "lname": "Jones", "fname": "Stacey", "rank": "Instructor", "sex": "F", "phone": 3550, "room": "224", "building": "NEB"}, {"facid": 1823, "lname": "Davidson", "fname": "Frederic", "rank": "Professor", "sex": "M", "phone": 5629, "room": "119", "building": "Barton"}, {"facid": 2028, "lname": "Brody", "fname": "William", "rank": "Professor", "sex": "M", "phone": 6073, "room": "119", "building": "Barton"}, {"facid": 2119, "lname": "Meyer", "fname": "Gerard", "rank": "Professor", "sex": "M", "phone": 6350, "room": "119", "building": "Barton"}, {"facid": 2192, "lname": "Yarowsky", "fname": "David", "rank": "AsstProf", "sex": "M", "phone": 6587, "room": "324", "building": "NEB"}, {"facid": 2291, "lname": "Scheinerman", "fname": "Edward", "rank": "Professor", "sex": "M", "phone": 6654, "room": "288", "building": "Krieger"}, {"facid": 2311, "lname": "Priebe", "fname": "Carey", "rank": "AsstProf", "sex": "M", "phone": 6953, "room": "288", "building": "Krieger"}, {"facid": 2738, "lname": "Fill", "fname": "James", "rank": "Professor", "sex": "M", "phone": 8209, "room": "288", "building": "Krieger"}, {"facid": 2881, "lname": "Goldman", "fname": "Alan", "rank": "Professor", "sex": "M", "phone": 8335, "room": "288", "building": "Krieger"}, {"facid": 3457, "lname": "Smith", "fname": "Scott", "rank": "AssocProf", "sex": "M", "phone": 1035, "room": "318", "building": "NEB"}, {"facid": 4230, "lname": "Houlahan", "fname": "Joanne", "rank": "Instructor", "sex": "F", "phone": 1260, "room": "328", "building": "NEB"}, {"facid": 4432, "lname": "Burzio", "fname": "Luigi", "rank": "Professor", "sex": "M", "phone": 1813, "room": "288", "building": "Krieger"}, {"facid": 5718, "lname": "Frank", "fname": "Robert", "rank": "AsstProf", "sex": "M", "phone": 1751, "room": "288", "building": "Krieger"}, {"facid": 6112, "lname": "Beach", "fname": "Louis", "rank": "Instructor", "sex": "M", "phone": 1838, "room": "207", "building": "NEB"}, {"facid": 6182, "lname": "Cheng", "fname": "Cheng", "rank": "AsstProf", "sex": "M", "phone": 1856, "room": "288", "building": "Krieger"}, {"facid": 6191, "lname": "Kaplan", "fname": "Alexander", "rank": "Professor", "sex": "M", "phone": 1825, "room": "119", "building": "Barton"}, {"facid": 6330, "lname": "Byrne", "fname": "William", "rank": "Instructor", "sex": "M", "phone": 1691, "room": "119", "building": "Barton"}, {"facid": 6541, "lname": "Han", "fname": "Shih-Ping", "rank": "Professor", "sex": "M", "phone": 1914, "room": "288", "building": "Krieger"}, {"facid": 6910, "lname": "Smolensky", "fname": "Paul", "rank": "Professor", "sex": "M", "phone": 2072, "room": "288", "building": "Krieger"}, {"facid": 6925, "lname": "Iglesias", "fname": "Pablo", "rank": "AsstProf", "sex": "M", "phone": 2021, "room": "119", "building": "Barton"}, {"facid": 7134, "lname": "Goutsias", "fname": "John", "rank": "Professor", "sex": "M", "phone": 2184, "room": "119", "building": "Barton"}, {"facid": 7231, "lname": "Rugh", "fname": "Wilson", "rank": "Professor", "sex": "M", "phone": 2191, "room": "119", "building": "Barton"}, {"facid": 7271, "lname": "Jelinek", "fname": "Frederick", "rank": "Professor", "sex": "M", "phone": 2890, "room": "119", "building": "Barton"}, {"facid": 7506, "lname": "Westgate", "fname": "Charles", "rank": "Professor", "sex": "M", "phone": 2932, "room": "119", "building": "Barton"}, {"facid": 7712, "lname": "Awerbuch", "fname": "Baruch", "rank": "Professor", "sex": "M", "phone": 2105, "room": "220", "building": "NEB"}, {"facid": 7723, "lname": "Taylor", "fname": "Russell", "rank": "Professor", "sex": "M", "phone": 2435, "room": "317", "building": "NEB"}, {"facid": 7792, "lname": "Brill", "fname": "Eric", "rank": "AsstProf", "sex": "M", "phone": 2303, "room": "324B", "building": "NEB"}, {"facid": 8102, "lname": "James", "fname": "Lancelot", "rank": "AsstProf", "sex": "M", "phone": 2792, "room": "288", "building": "Krieger"}, {"facid": 8114, "lname": "Angelopoulou", "fname": "Ellie", "rank": "Instructor", "sex": "F", "phone": 2152, "room": "316", "building": "NEB"}, {"facid": 8118, "lname": "Weinert", "fname": "Howard", "rank": "Professor", "sex": "M", "phone": 3272, "room": "119", "building": "Barton"}, {"facid": 8122, "lname": "Wierman", "fname": "John", "rank": "Professor", "sex": "M", "phone": 3392, "room": "288", "building": "Krieger"}, {"facid": 8423, "lname": "Kumar", "fname": "Subodh", "rank": "AsstProf", "sex": "M", "phone": 2522, "room": "218", "building": "NEB"}, {"facid": 8721, "lname": "Wolff", "fname": "Lawrence", "rank": "AssocProf", "sex": "M", "phone": 2342, "room": "316", "building": "NEB"}, {"facid": 8722, "lname": "Cauwenberghs", "fname": "Gert", "rank": "AsstProf", "sex": "M", "phone": 1372, "room": "119", "building": "Barton"}, {"facid": 8723, "lname": "Andreou", "fname": "Andreas", "rank": "Professor", "sex": "M", "phone": 1402, "room": "119", "building": "Barton"}, {"facid": 8741, "lname": "Salzberg", "fname": "Steven", "rank": "AssocProf", "sex": "M", "phone": 2641, "room": "324A", "building": "NEB"}, {"facid": 8772, "lname": "Cowen", "fname": "Lenore", "rank": "AsstProf", "sex": "F", "phone": 2870, "room": "288", "building": "Krieger"}, {"facid": 8791, "lname": "McCloskey", "fname": "Michael", "rank": "Professor", "sex": "M", "phone": 3440, "room": "288", "building": "Krieger"}, {"facid": 8918, "lname": "Amir", "fname": "Yair", "rank": "AsstProf", "sex": "M", "phone": 2672, "room": "308", "building": "NEB"}, {"facid": 8989, "lname": "Brent", "fname": "Michael", "rank": "AsstProf", "sex": "M", "phone": 9373, "room": "288", "building": "Krieger"}, {"facid": 9011, "lname": "Rapp", "fname": "Brenda", "rank": "AsstProf", "sex": "F", "phone": 2032, "room": "288", "building": "Krieger"}, {"facid": 9172, "lname": "Kosaraju", "fname": "Rao", "rank": "Professor", "sex": "M", "phone": 2757, "room": "319", "building": "NEB"}, {"facid": 9191, "lname": "Collins", "fname": "Oliver", "rank": "AssocProf", "sex": "M", "phone": 5427, "room": "119", "building": "Barton"}, {"facid": 9199, "lname": "Hughes", "fname": "Brian", "rank": "AssocProf", "sex": "M", "phone": 5666, "room": "119", "building": "Barton"}, {"facid": 9210, "lname": "Joseph", "fname": "Richard", "rank": "Professor", "sex": "M", "phone": 5996, "room": "119", "building": "Barton"}, {"facid": 9379, "lname": "Khurgin", "fname": "Jacob", "rank": "Professor", "sex": "M", "phone": 1060, "room": "119", "building": "Barton"}, {"facid": 9514, "lname": "Prince", "fname": "Jerry", "rank": "AssocProf", "sex": "M", "phone": 5106, "room": "119", "building": "Barton"}, {"facid": 9643, "lname": "Legendre", "fname": "Geraldine", "rank": "AssocProf", "sex": "F", "phone": 8972, "room": "288", "building": "Krieger"}, {"facid": 9811, "lname": "Wu", "fname": "Colin", "rank": "AsstProf", "sex": "M", "phone": 2906, "room": "288", "building": "Krieger"}, {"facid": 9823, "lname": "Pang", "fname": "Jong-Shi", "rank": "Professor", "sex": "M", "phone": 4366, "room": "288", "building": "Krieger"}, {"facid": 9824, "lname": "Glaser", "fname": "Robert", "rank": "Instructor", "sex": "M", "phone": 4396, "room": "119", "building": "Barton"}, {"facid": 9826, "lname": "Delcher", "fname": "Arthur", "rank": "Instructor", "sex": "M", "phone": 2956, "room": "329", "building": "NEB"}, {"facid": 9922, "lname": "Hall", "fname": "Leslie", "rank": "AsstProf", "sex": "F", "phone": 7332, "room": "288", "building": "Krieger"}], "faculty_participates_in": [{"facid": 1082, "actid": 784}, {"facid": 1082, "actid": 785}, {"facid": 1082, "actid": 790}, {"facid": 1121, "actid": 771}, {"facid": 1121, "actid": 777}, {"facid": 1121, "actid": 770}, {"facid": 1193, "actid": 790}, {"facid": 1193, "actid": 796}, {"facid": 1193, "actid": 773}, {"facid": 2192, "actid": 773}, {"facid": 2192, "actid": 790}, {"facid": 2192, "actid": 778}, {"facid": 3457, "actid": 782}, {"facid": 3457, "actid": 771}, {"facid": 3457, "actid": 784}, {"facid": 4230, "actid": 790}, {"facid": 4230, "actid": 785}, {"facid": 6112, "actid": 785}, {"facid": 6112, "actid": 772}, {"facid": 7723, "actid": 785}, {"facid": 7723, "actid": 770}, {"facid": 8114, "actid": 776}, {"facid": 8721, "actid": 770}, {"facid": 8721, "actid": 780}, {"facid": 8741, "actid": 780}, {"facid": 8741, "actid": 790}, {"facid": 8918, "actid": 780}, {"facid": 8918, "actid": 782}, {"facid": 8918, "actid": 771}, {"facid": 2881, "actid": 790}, {"facid": 2881, "actid": 784}, {"facid": 4432, "actid": 770}, {"facid": 4432, "actid": 771}, {"facid": 5718, "actid": 776}, {"facid": 6182, "actid": 776}, {"facid": 6182, "actid": 785}, {"facid": 1177, "actid": 790}, {"facid": 1177, "actid": 770}, {"facid": 1177, "actid": 770}, {"facid": 9922, "actid": 796}]}, "correct_code": "-- Load activity_1__faculty data\nfaculty = load(\"faculty\")\n\nfiltered_faculty = faculty\n |> filter(rank == \"AssocProf\")\n |> filter(phone >= 1421)\n |> select(lname, building, room, sex, facid)\n\nresult = filtered_faculty\n |> sort_by(facid, desc)\n |> take(10)\n\nemit result", "buggy_code": "-- Load activity_1__faculty data\nfaculty = load(\"faculty\")\n\nfiltered_faculty = faculty\n |> filter(rank > \"AssocProf\")\n |> filter(phone >= 1421)\n |> select(lname, building, room, sex, facid)\n\nresult = filtered_faculty\n |> sort_by(facid, desc)\n |> take(10)\n\nemit result", "expected_output": [{"lname": "Legendre", "building": "Krieger", "room": "288", "sex": "F", "facid": 9643}, {"lname": "Prince", "building": "Barton", "room": "119", "sex": "M", "facid": 9514}, {"lname": "Hughes", "building": "Barton", "room": "119", "sex": "M", "facid": 9199}, {"lname": "Collins", "building": "Barton", "room": "119", "sex": "M", "facid": 9191}, {"lname": "Salzberg", "building": "NEB", "room": "324A", "sex": "M", "facid": 8741}, {"lname": "Wolff", "building": "NEB", "room": "316", "sex": "M", "facid": 8721}, {"lname": "Runolfsson", "building": "Barton", "room": "119", "sex": "M", "facid": 1172}], "bug_info": [{"category": "wrong_arg", "description": "Wrong comparison operator: '==' \u2192 '>'", "line_num": 5, "original": "|> filter(rank == \"AssocProf\")", "mutated": "|> filter(rank > \"AssocProf\")"}], "difficulty": "medium", "domain": "activity_1__faculty", "num_nodes": 3, "has_join": false} |
[
{
"content": "You are an expert debugger for a dataflow programming language. Your task is to find and fix bugs in dataflow programs.\n\nThe dataflow language uses pipe operators (|>) to chain data transformations. Programs define variables, transform data through operations like filter, select, group_by+aggreg... | dsl_debug_hard | {"datasets": {"participants_in_events": [{"event_id": 3, "participant_id": 26}, {"event_id": 3, "participant_id": 66}, {"event_id": 8, "participant_id": 86}, {"event_id": 13, "participant_id": 64}, {"event_id": 13, "participant_id": 90}, {"event_id": 16, "participant_id": 60}, {"event_id": 17, "participant_id": 37}, {"event_id": 17, "participant_id": 66}, {"event_id": 38, "participant_id": 66}, {"event_id": 40, "participant_id": 37}, {"event_id": 40, "participant_id": 86}, {"event_id": 57, "participant_id": 90}, {"event_id": 60, "participant_id": 26}, {"event_id": 80, "participant_id": 36}, {"event_id": 80, "participant_id": 66}, {"event_id": 80, "participant_id": 96}, {"event_id": 95, "participant_id": 63}, {"event_id": 96, "participant_id": 90}], "participants": [{"participant_id": 9, "participant_type_code": "Organizer", "participant_details": "Karlee Batz"}, {"participant_id": 26, "participant_type_code": "Organizer", "participant_details": "Vilma Schinner"}, {"participant_id": 28, "participant_type_code": "Organizer", "participant_details": "Lupe Deckow"}, {"participant_id": 36, "participant_type_code": "Organizer", "participant_details": "Kenyatta Kuhn"}, {"participant_id": 37, "participant_type_code": "Participant", "participant_details": "Miss Kaci Lebsack"}, {"participant_id": 38, "participant_type_code": "Organizer", "participant_details": "Macy Mayer DDS"}, {"participant_id": 60, "participant_type_code": "Participant", "participant_details": "Dewitt Walter"}, {"participant_id": 63, "participant_type_code": "Participant", "participant_details": "Prof. Michelle Maggio Jr."}, {"participant_id": 64, "participant_type_code": "Participant", "participant_details": "Dr. Jaydon Renner"}, {"participant_id": 66, "participant_type_code": "Participant", "participant_details": "Justyn Lebsack"}, {"participant_id": 75, "participant_type_code": "Participant", "participant_details": "Berniece Weimann"}, {"participant_id": 86, "participant_type_code": "Organizer", "participant_details": "Neil Blick"}, {"participant_id": 90, "participant_type_code": "Participant", "participant_details": "Dedrick Ebert"}, {"participant_id": 96, "participant_type_code": "Organizer", "participant_details": "Miss Joyce Cremin"}, {"participant_id": 98, "participant_type_code": "Participant", "participant_details": "Dr. Kris Deckow"}]}, "correct_code": "-- Load local_govt_in_alabama__participants_in_events data\nparticipants_in_events = load(\"participants_in_events\")\n\n-- Load lookup data\nparticipants = load(\"participants\")\n |> select(participant_id, participant_type_code, participant_details)\n\nenriched = join(participants_in_events, participants, on: participant_id == participant_id)\n\nresult = enriched\n |> sort_by(event_id, desc)\n |> take(3)\n\nemit result", "buggy_code": "-- Load local_govt_in_alabama__participants_in_events data\nparticipants_in_events = load(\"participants_in_events\")\n\n-- Load lookup data\nparticipants = load(\"participants\")\n |> select(participant_id, participant_type_code, participant_details)\n\nenriched = join(participants_in_events, participants, on: participant_id == participant_id)\n\nresult = enriched\n |> sort_by(event_id, desc)\n |> take(1)\n\nemit result", "expected_output": [{"event_id": 96, "participant_id": 90, "participant_type_code": "Participant", "participant_details": "Dedrick Ebert"}, {"event_id": 95, "participant_id": 63, "participant_type_code": "Participant", "participant_details": "Prof. Michelle Maggio Jr."}, {"event_id": 80, "participant_id": 36, "participant_type_code": "Organizer", "participant_details": "Kenyatta Kuhn"}], "bug_info": [{"category": "logic_bug", "description": "Off-by-2 in take: 3 \u2192 1", "line_num": 12, "original": "|> take(3)", "mutated": "|> take(1)"}], "difficulty": "hard", "domain": "local_govt_in_alabama__participants_in_events", "num_nodes": 4, "has_join": true} |
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