{"kind":"task","effective_mode":"full","benchmark":{"kind":"benchmark","effective_mode":"full","slug":"bbeh","formal_name":"BIG-Bench Extra Hard (BBEH)","introduction":"BIG-Bench Extra Hard evaluates language-model reasoning through challenging task categories. It offers full and mini distributions; this import contains the full distribution: 4,520 questions across all 23 task categories.","introduction_ja":"","introduction_en":"","category":"Category not supplied","task_count":null,"acquisition_status":"Acquisition status not supplied","official_url":"https://github.com/google-deepmind/bbeh","indexing_mode":"index","profile":{"resources":[],"task_format":"","scoring":"","metric":"","size":"","answer_access":"","license":"","citation":"","maintainer":"","released":"","why_hard":"","related":[],"history":"","construction":"","limitations":"","saturation":"","scores":[]}},"task_id":"247dcc7b-0229-5191-81c1-538195c76adf","task_key":"bbeh~5fbuggy~5ftables--full--247dcc7b-0229-5191-81c1-538195c76adf","task_revision_id":"1","upstream_id":"","short_description":"I have a table with 27 rows (including the header) and 18 columns. The table was…","config":"bbeh_buggy_tables","split":"full","body":"{\"input\":\"I have a table with 27 rows (including the header) and 18 columns. The table was saved in a row-major format as follows:\\n\\n[date, num_steps, study_minutes, exercise_minutes, sleep_minutes, bed_time, num_messages, num_emails, num_calls, calories_burned, weekday, calories_consumed, num_meetings, coding_minutes, num_tasks_completed, water_intake_ml, phone_screen_time_minutes, music_listening_minutes, 2025-01-27, 19344, 96, 26, 534, 21:52, 81, 6, 336, Mon, 1106, 8, 60, 1579, 58, 12, 2025-01-26, 2575, 44, 555, 22:30, 46, 2, 2, 960, Tue, 1371, 3, 8, 8, 995, 52, 2025-01-25, 2845, 95, 51, 390, 22:43, 16, 10, 5, 375, Wed, 1, 6, 1866, 25, 20, 2025-01-24, 2362, 18, 54, 417, 22:28, 47, 2, 1, 786, Thu, 1043, 6, 16, 5, 1114, 25, 59, 2025-01-23, 11332, 38, 390, 21:21, 64, 2, 7, 270, Fri, 886, 4, 61, 6, 2272, 24, 50, 2025-01-22, 17241, 61, 577, 21:20, 79, 7, 1, 828, 1655, 7, 31, 6, 1406, 26, 29, 2025-01-21, 3768, 38, 57, 312, 23:57, 13, 5, 4, 550, Sun, 951, 21, 8, 1235, 16, 56, 2025-01-20, 18647, 58, 23, 420, 22:13, 84, 6, 3, 787, 1489, 5, 64, 10, 1127, 19, 30, 2025-01-19, 6114, 24, 38, 575, 21:45, 9, 7, 386, Tue, 1689, 6, 27, 10, 1557, 21, 15, 2025-01-18, 2923, 31, 88, 23:41, 82, 7, 460, Wed, 1546, 2, 10, 1766, 37, 2025-01-17, 8342, 83, 580, 22:47, 27, 3, 8, 192, Thu, 838, 5, 35, 6, 51, 54, 2025-01-16, 15793, 46, 56, 395, 21:27, 10, 538, 1828, 53, 6, 1024, 40, 29, 2025-01-15, 11352, 99, 46, 381, 41, 2, 2, 648, Sat, 1060, 12, 16, 7, 920, 2025-01-14, 19136, 25, 18, 381, 22:41, 52, 10, 2, Sun, 961, 3, 16, 7, 1437, 13, 60, 2025-01-13, 12663, 81, 93, 595, 22:45, 45, 1, 7, 653, 1279, 14, 3, 9, 524, 20, 34, 2025-01-12, 5821, 72, 381, 28, 3, 10, 925, Tue, 1460, 6, 63, 1, 705, 58, 2025-01-11, 61, 50, 440, 22:47, 17, 6, 512, Wed, 536, 1, 6, 7, 2254, 20, 50, 2025-01-10, 9697, 19, 22:56, 15, 5, 7, 507, Thu, 881, 8, 60, 3, 652, 57, 26, 2025-01-09, 26, 33, 570, 21:41, 52, 5, 860, Fri, 592, 7, 45, 2, 1362, 24, 2025-01-08, 13118, 89, 16, 351, 22:28, 51, 2, 9, 765, Sat, 1934, 3, 25, 6, 2998, 16, 33, 2025-01-07, 19171, 48, 32, 344, 21:41, 37, 4, 1, 110, Sun, 1410, 11, 51, 7, 2470, 47, 54, 2025-01-06, 1406, 19, 84, 587, 23:23, 78, 3, 2, Mon, 1377, 13, 65, 1, 2226, 30, 11, 2025-01-05, 2458, 60, 511, 23:49, 53, 6, 222, Tue, 424, 13, 52, 2338, 35, 32, 2025-01-04, 13, 362, 23:42, 91, 2, 7, 368, 1630, 14, 46, 6, 1179, 34, 50, 2025-01-03, 8752, 47, 53, 499, 22:52, 4, 6, 318, Thu, 543, 3, 24, 3, 1374, 44, 38, 2025-01-02, 4720, 48, 527, 23:47, 89, 2, 10, 477, Fri, 979, 4, 39, 1965, 39, 46].\\n\\nHowever, the code to save the table was buggy and failed to save the null values. There were null values at the following locations (0-indexed -- table header included): [(23, 7), (12, 7), (12, 10), (11, 2), (13, 5), (26, 2), (18, 4), (6, 2), (13, 17), (26, 14), (12, 6), (12, 12), (14, 9), (5, 3), (3, 12), (17, 8), (24, 1), (19, 17), (25, 6), (2, 16), (24, 10), (1, 14), (1, 8), (13, 16), (15, 10), (7, 12), (23, 2), (6, 10), (22, 9), (23, 14), (3, 11), (17, 1), (19, 1), (19, 7), (10, 4), (9, 6), (8, 10), (10, 7), (10, 13), (2, 3), (16, 2), (10, 16), (24, 3), (11, 15), (16, 5), (18, 2), (16, 17)]. Compute the absolute difference between the mean of column coding_minutes and column study_minutes, only looking at the days where the number of steps was less than 17000 and the study minutes was greater than 20. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the means cannot be computed due to there being no values, the final answer must be \\\"0\\\". \"}","display_format":"text","language":"","answer_status":"published","assets":[],"source_url":"https://github.com/google-deepmind/bbeh","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}