{"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":"f797c59d-7453-53c3-8dd9-e2ea7ad0299c","task_key":"bbeh~5fbuggy~5ftables--full--f797c59d-7453-53c3-8dd9-e2ea7ad0299c","task_revision_id":"1","upstream_id":"","short_description":"I have a table with 31 rows (including the header) and 18 columns. The table was…","config":"bbeh_buggy_tables","split":"full","body":"{\"input\":\"I have a table with 31 rows (including the header) and 18 columns. The table was converted to markdown 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 |\\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\\n| 2025-01-27 && 2025-01-26| 2354 && null| 72 && 11| 65 && 48| 456 && 326| 22:14 && 21:31| 80 && null| 8 && 7| 1 && 3| 364 && 168| null && Tue| null && 775| 8 && 9| 51 && 63| 1 && 8| 2947 && 1227| 52 && 25| 45 && 59 |\\n| 2025-01-25 && 2025-01-24| 15600 && 12928| 68 && 32| 47 && 48| 301 && 452| 22:24 && 21:55| 53 && 30| 3 && 7| 2 && 6| 381 && 196| Wed && Thu| 1132 && null| 13 && 15| 2 && 33| 9 && 9| 810 && 1758| null && 28| 57 && 17 |\\n| 2025-01-23 && 2025-01-22| 17796 && 10128| 64 && 40| 16 && 50| 386 && 374| null && 21:17| 76 && 90| 3 && 6| 5 && 7| 691 && 756| Fri && Sat| 1058 && 1546| 10 && 9| null && 15| null && 8| null && 1161| 36 && 15| 16 && 55 |\\n| 2025-01-21 && 2025-01-20| 19835 && null| 50 && 83| 28 && 97| 438 && 475| 22:21 && 22:19| 32 && 53| 10 && 4| null && 6| 528 && 383| Sun && null| 373 && 1983| null && 9| 4 && 63| 4 && 3| 2741 && 632| 54 && 44| 28 && 37 |\\n| 2025-01-19 && 2025-01-18| 8992 && 7442| 76 && 82| null && 17| 392 && 417| 21:17 && 22:14| 60 && 95| 8 && 9| 2 && 3| null && 142| Tue && Wed| 1891 && 743| 6 && 13| 10 && 34| 9 && 2| 2266 && 942| 44 && 54| 52 && 48 |\\n| 2025-01-17 && 2025-01-16| 1852 && 10401| null && 57| 97 && 44| null && 524| 21:29 && 23:49| 15 && 55| 1 && 2| 10 && 1| 427 && 652| Thu && null| 642 && 546| 10 && null| 64 && null| 5 && null| 2200 && 2546| 26 && 28| 20 && 26 |\\n| 2025-01-15 && 2025-01-14| 10887 && 12065| 85 && 100| 97 && 54| 349 && 338| 21:30 && 21:44| 51 && 22| 7 && 2| null && 6| 868 && 290| Sat && Sun| 946 && null| 10 && 13| 44 && 31| 1 && 6| 1639 && 2684| 49 && 36| 11 && 50 |\\n| 2025-01-13 && 2025-01-12| 19722 && 12929| 18 && 33| 77 && 12| 440 && 546| null && 22:33| 80 && 96| 3 && 7| 4 && 6| 334 && 729| null && Tue| 845 && 888| 2 && 10| 54 && null| 7 && 5| 1674 && 1595| 34 && 26| 46 && 42 |\\n| 2025-01-11 && 2025-01-10| 309 && 19399| 51 && 75| null && 88| 583 && 427| null && 22:52| 92 && 91| 6 && 6| null && 3| 219 && 703| null && Thu| 1734 && 995| 2 && null| 49 && 31| 5 && 8| null && 1829| 40 && 36| 57 && 47 |\\n| 2025-01-09 && 2025-01-08| 457 && 11081| 50 && 34| 60 && 44| 550 && null| 21:22 && 21:42| 41 && 39| 8 && 1| 1 && 7| 595 && 636| null && Sat| 1649 && 481| 6 && 13| null && 63| 10 && 8| 545 && 752| 20 && 51| 36 && 17 |\\n| 2025-01-07 && 2025-01-06| 5355 && null| 62 && 15| 67 && 91| 481 && 444| 22:54 && 23:55| null && 56| 8 && 4| 1 && 8| 561 && 665| Sun && Mon| 1740 && 661| 5 && 14| 24 && 13| 10 && 4| 1002 && 663| null && 12| 34 && 48 |\\n| 2025-01-05 && 2025-01-04| 1278 && 14422| 14 && 87| 58 && 40| 371 && 377| 22:57 && 23:14| 23 && 68| 9 && 6| 1 && 5| 618 && null| Tue && Wed| 401 && 486| 3 && 2| 28 && 53| 5 && 2| 1194 && 540| 21 && 19| 58 && 11 |\\n| 2025-01-03 && 2025-01-02| 18997 && null| 74 && 31| 15 && 90| 448 && 313| 22:16 && 21:44| 79 && null| 5 && null| 7 && 9| null && 871| Thu && Fri| 548 && 1924| 10 && 1| 49 && 33| 4 && 3| 2866 && 1973| 33 && 37| 26 && null |\\n| 2025-01-01 && 2024-12-31| 3574 && 13932| 10 && 99| null && 70| 399 && 559| null && 21:39| 19 && 40| null && 2| 3 && 2| 136 && null| Sat && Sun| 850 && 1964| 13 && 3| null && 10| 5 && 8| 2250 && 866| 51 && 12| 20 && 33 |\\n| 2024-12-30 && 2024-12-29| 5327 && 973| 71 && 87| 99 && 82| 519 && 435| 21:15 && 23:58| 91 && 54| 5 && 7| null && 7| 900 && 551| null && Tue| 1487 && 1294| null && null| 1 && 39| 5 && 9| 1550 && 1490| 43 && 51| 22 && 42 |.\\n\\nHowever, the code to convert the table into markdown format was buggy and mistakenly merged every two rows of values (not including the header) into one row by placing the values of the second row after the first row separated by \\\" && \\\". In the case of an odd number of rows, the last row was merged with a row full of \\\"null\\\" values. Compute the absolute difference between the mean of column phone_screen_time_minutes and column exercise_minutes, only looking at the days where the number of steps was less than 17000 and the sleep minutes was greater than 350. 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":[]}