diff --git a/tasks/0000_419_419825_qa_1/task.toml b/tasks/0000_419_419825_qa_1/task.toml index c74e92c9bdb87c23f0669800cb47df82666b07af..a463d8fab4ffd05bb2d6a2417b736409068a5716 100644 --- a/tasks/0000_419_419825_qa_1/task.toml +++ b/tasks/0000_419_419825_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "nolanbconaway/whatcd-hiphop" gold_answer = "1995" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0000_430_430387_qa_5/task.toml b/tasks/0000_430_430387_qa_5/task.toml index 72a8cb9bfad55b25da247f40f7ae80218e431139..97e06d0102eb2ee43028ff4e2fb8bea149fc5f50 100644 --- a/tasks/0000_430_430387_qa_5/task.toml +++ b/tasks/0000_430_430387_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/student-alcohol-consumption" gold_answer = "no" reward_mode_initial = "exact_bool" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0000_458_458607_qa_4/task.toml b/tasks/0000_458_458607_qa_4/task.toml index d52ce152b4a2cdc073699038066f70a99baae8c3..6103127f5b2eb7053f0b36b021e1a1174d4e3b8b 100644 --- a/tasks/0000_458_458607_qa_4/task.toml +++ b/tasks/0000_458_458607_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "usdeptofag/pesticide-data-program-2015" gold_answer = "2" reward_mode_initial = "numeric" package_tier = 3 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0000_465_465850_qa_5/task.toml b/tasks/0000_465_465850_qa_5/task.toml index 1ce7d49dcaa6276ac08d7ba129946e0878c2a607..e5e3d3a4115c9f1c494af730ce04e474b863c098 100644 --- a/tasks/0000_465_465850_qa_5/task.toml +++ b/tasks/0000_465_465850_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/iris" gold_answer = "virginica" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0000_470_470407_qa_4/task.toml b/tasks/0000_470_470407_qa_4/task.toml index b5cbe53bf612e0c62f01b65af37422632efe6794..49b3fd9ee596dc8c0ea7f3e0386abb281616078f 100644 --- a/tasks/0000_470_470407_qa_4/task.toml +++ b/tasks/0000_470_470407_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/iris" gold_answer = "7.9" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0000_471_471618_qa_2/task.toml b/tasks/0000_471_471618_qa_2/task.toml index 629529f39c8417dbf85c32f5f31ca15ff3e0b364..af22e639f22e5fcb95b8b5498cb4d5c51d61a8ef 100644 --- a/tasks/0000_471_471618_qa_2/task.toml +++ b/tasks/0000_471_471618_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "arathee2/arrests-by-baltimore-police-department" gold_answer = "IncidentLocation" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0000_500_500452_qa_3/task.toml b/tasks/0000_500_500452_qa_3/task.toml index dce10e24089a5471504a667f56d91d5e19c5c344..194c939447567cb5e54e0535dacaf94ca27b0131 100644 --- a/tasks/0000_500_500452_qa_3/task.toml +++ b/tasks/0000_500_500452_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/forest-cover-type-dataset" gold_answer = "0.646698" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0000_513_513191_qa_3/task.toml b/tasks/0000_513_513191_qa_3/task.toml index f625e6e7fc221e59a2a7f93828688d687b2201ab..7c9b35f08ffa274cdb6762c7dc0ecfa5f0a68964 100644 --- a/tasks/0000_513_513191_qa_3/task.toml +++ b/tasks/0000_513_513191_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "aljarah/xAPI-Edu-Data" gold_answer = "Female" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0000_593_593356_qa_1/task.toml b/tasks/0000_593_593356_qa_1/task.toml index b747b4f6b24f7d2acf9ab8ada4e19978b6226867..dcc75057b924d2bf7bfd5bebbff9353eab2aa604 100644 --- a/tasks/0000_593_593356_qa_1/task.toml +++ b/tasks/0000_593_593356_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "yasiradnan/crime-classifcication" gold_answer = "SOUTHERN" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0000_696_696467_qa_5/task.toml b/tasks/0000_696_696467_qa_5/task.toml index ec9fa713e0d2544f03447cd94545c7d358c18044..de1c4f3eba788178021c50df63a05ef7dbf0ef6d 100644 --- a/tasks/0000_696_696467_qa_5/task.toml +++ b/tasks/0000_696_696467_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "nolanbconaway/pitchfork-data" gold_answer = "yes" reward_mode_initial = "exact_bool" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0000_710_710837_qa_4/task.toml b/tasks/0000_710_710837_qa_4/task.toml index c15786cc039c11e01c0c898470e6e5326eb1844f..7b7333fd75780e7f89e13fd41cf0f80ff3460cd0 100644 --- a/tasks/0000_710_710837_qa_4/task.toml +++ b/tasks/0000_710_710837_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "PromptCloudHQ/amazon-reviews-unlocked-mobile-phones" gold_answer = "2598.0" reward_mode_initial = "numeric" package_tier = 0 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0000_740_740974_qa_1/task.toml b/tasks/0000_740_740974_qa_1/task.toml index 0b1784315920ce745998531d80d1c2c3393ccb0b..30f60c507bbfdca20ea0006255fac4296ceee096 100644 --- a/tasks/0000_740_740974_qa_1/task.toml +++ b/tasks/0000_740_740974_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "ushchent/uk-awards" gold_answer = "50.4" reward_mode_initial = "numeric" package_tier = 0 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0000_787_787044_qa_1/task.toml b/tasks/0000_787_787044_qa_1/task.toml index ccf6bc9d073c7c6a6aa7d61ebb917e48303ee946..722e7e28104925914670ada16fa66f769679af42 100644 --- a/tasks/0000_787_787044_qa_1/task.toml +++ b/tasks/0000_787_787044_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "usgs/earthquake-database" gold_answer = "0.17" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0000_804_804467_qa_3/task.toml b/tasks/0000_804_804467_qa_3/task.toml index b9a7bf969a28bcda539c3fb28149f91d3c4ada3c..e62b0d87fa9308865b00042bced9a8b191daeb57 100644 --- a/tasks/0000_804_804467_qa_3/task.toml +++ b/tasks/0000_804_804467_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/mushroom-classification" gold_answer = "0, DecisionTree, RandomForest, SVM" reward_mode_initial = "list" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0000_822_822279_qa_1/task.toml b/tasks/0000_822_822279_qa_1/task.toml index a4c794c91461c12344a63ce9004229406e821a8a..f60a565887a1afecf2cb7a672186bc64bcc89d4c 100644 --- a/tasks/0000_822_822279_qa_1/task.toml +++ b/tasks/0000_822_822279_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "sovannt/world-bank-youth-unemployment" gold_answer = "13" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0000_939_939639_qa_2/task.toml b/tasks/0000_939_939639_qa_2/task.toml index dff72c4df4b6453283b0caf64ac54ca1c9544d06..280cf68839f3c6405fd3f72a47fe3f62af880181 100644 --- a/tasks/0000_939_939639_qa_2/task.toml +++ b/tasks/0000_939_939639_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "abcsds/pokemon" gold_answer = "4800" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0000_939_939639_qa_3/task.toml b/tasks/0000_939_939639_qa_3/task.toml index 0f4121846b6caa24c55f79da354679dcab33b8ed..18d1109db180db0cd12295931b236ebb4f6b1023 100644 --- a/tasks/0000_939_939639_qa_3/task.toml +++ b/tasks/0000_939_939639_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "abcsds/pokemon" gold_answer = "6" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0000_991_991010_qa_2/task.toml b/tasks/0000_991_991010_qa_2/task.toml index c09e559bd84a124e8b911c5d245c0505d5ee5623..e3c8d12551e64b09ad549ce0979db66b3e518289 100644 --- a/tasks/0000_991_991010_qa_2/task.toml +++ b/tasks/0000_991_991010_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "tamber/steam-video-games" gold_answer = "6.21" reward_mode_initial = "numeric" package_tier = 3 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_029_1029150_qa_2/task.toml b/tasks/0001_029_1029150_qa_2/task.toml index 8f6f0637274c92df1c69ebfdc7425baa4b7dcf84..25cb3c75ba2847b13d0575c5aeef95c2d0ed5a8e 100644 --- a/tasks/0001_029_1029150_qa_2/task.toml +++ b/tasks/0001_029_1029150_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "murderaccountability/homicide-reports" gold_answer = "California" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_043_1043420_qa_4/task.toml b/tasks/0001_043_1043420_qa_4/task.toml index beef9a2a82e9b1cdf487de8ac29beb3eb532da12..b66f416aaab2233b642df9cd2a016e1d3ec9a5ee 100644 --- a/tasks/0001_043_1043420_qa_4/task.toml +++ b/tasks/0001_043_1043420_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/breast-cancer-wisconsin-data" gold_answer = "3" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_046_1046894_qa_3/task.toml b/tasks/0001_046_1046894_qa_3/task.toml index 4cd9d491d9b6c2076d9324ed5f249298fc172ddd..15d8117408bcbdd082231b96362101a3ed9a0a77 100644 --- a/tasks/0001_046_1046894_qa_3/task.toml +++ b/tasks/0001_046_1046894_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "mlg-ulb/creditcardfraud" gold_answer = "PCA-reduced features" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_065_1065379_qa_3/task.toml b/tasks/0001_065_1065379_qa_3/task.toml index 26a6001494d5e644228df23741cd78278680c69e..8dc3b4a6bf4a95b6b0941a8b4cf394017816726c 100644 --- a/tasks/0001_065_1065379_qa_3/task.toml +++ b/tasks/0001_065_1065379_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "athniv/exercisepatternpredict" gold_answer = "A" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_074_1074738_qa_1/task.toml b/tasks/0001_074_1074738_qa_1/task.toml index 62f1baa761d084c1636a5fe40805ac7830119412..420a5a1b95e7607c801502a1620a35ea6d4f1e96 100644 --- a/tasks/0001_074_1074738_qa_1/task.toml +++ b/tasks/0001_074_1074738_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "murderaccountability/homicide-reports" gold_answer = "California, 98994" reward_mode_initial = "list" package_tier = 3 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_124_1124736_qa_2/task.toml b/tasks/0001_124_1124736_qa_2/task.toml index 76ad1b1be733f4153f2ec8bcdd57d4c01569652c..63a712c44601f1df398ac9450ecb5ec2e7eb862e 100644 --- a/tasks/0001_124_1124736_qa_2/task.toml +++ b/tasks/0001_124_1124736_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "mlg-ulb/creditcardfraud" gold_answer = "25691.16" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_137_1137361_qa_2/task.toml b/tasks/0001_137_1137361_qa_2/task.toml index 3ce4c1c9dd1930274ffce8711b361e545ea9031a..16248775ee866a8f8bdca0c0ca7d10afd7a3ea89 100644 --- a/tasks/0001_137_1137361_qa_2/task.toml +++ b/tasks/0001_137_1137361_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "chetanism/foursquare-nyc-and-tokyo-checkin-dataset" gold_answer = "227428" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_182_1182948_qa_1/task.toml b/tasks/0001_182_1182948_qa_1/task.toml index 89c50a05eaac640b3661f5d27139793dc075a629..a6a5813d8cdbe1d151b2521f1e185e56d52cbbee 100644 --- a/tasks/0001_182_1182948_qa_1/task.toml +++ b/tasks/0001_182_1182948_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "dronio/SolarEnergy" gold_answer = "1.11" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_202_1202888_qa_1/task.toml b/tasks/0001_202_1202888_qa_1/task.toml index a8364865c00a6e7354afad658add3b1cee563712..bf4d60faae6d2c0f9403388eab4f99f6d3898c3c 100644 --- a/tasks/0001_202_1202888_qa_1/task.toml +++ b/tasks/0001_202_1202888_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "abcsds/pokemon" gold_answer = "Generation 3" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_257_1257756_qa_1/task.toml b/tasks/0001_257_1257756_qa_1/task.toml index a96e28b3e60332f03029208bd57514ac8427fdb8..806ce88f4ee53691da4ebee19e09f812deea7fbc 100644 --- a/tasks/0001_257_1257756_qa_1/task.toml +++ b/tasks/0001_257_1257756_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "ricardomoya/football-matches-of-spanish-league" gold_answer = "51.16" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_312_1312239_qa_2/task.toml b/tasks/0001_312_1312239_qa_2/task.toml index 05a5fc8ebf157e6d05f08e8cbf59524009face95..f86e3bd016de68d0173da879a1bfed7ccdf04f12 100644 --- a/tasks/0001_312_1312239_qa_2/task.toml +++ b/tasks/0001_312_1312239_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "unsdsn/world-happiness" gold_answer = "Australia and New Zealand" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_312_1312239_qa_5/task.toml b/tasks/0001_312_1312239_qa_5/task.toml index 5008f9b54149c4da65299499d7f0e169a6e09736..1f81308202ab3cde5493a532f5e9ab264d3f37cb 100644 --- a/tasks/0001_312_1312239_qa_5/task.toml +++ b/tasks/0001_312_1312239_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "unsdsn/world-happiness" gold_answer = "Sub-Saharan Africa" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_325_1325110_qa_4/task.toml b/tasks/0001_325_1325110_qa_4/task.toml index 6653279ae49ff88c64eae9a8d980132b5c7e31b1..6f0d9e08620889ad65d0645e49a02a7f7d52290a 100644 --- a/tasks/0001_325_1325110_qa_4/task.toml +++ b/tasks/0001_325_1325110_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "harlfoxem/housesalesprediction" gold_answer = "15.069673" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_325_1325110_qa_5/task.toml b/tasks/0001_325_1325110_qa_5/task.toml index 5731ad283167af377359b363e0210b246beff8f5..a816725416c70a3e7711affe07308b3101be28e5 100644 --- a/tasks/0001_325_1325110_qa_5/task.toml +++ b/tasks/0001_325_1325110_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "harlfoxem/housesalesprediction" gold_answer = "4" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_354_1354131_qa_1/task.toml b/tasks/0001_354_1354131_qa_1/task.toml index 96c8442c7d079fa5675bf81443b348c8b5bd6dd3..4a1c4c819bc20e6b3172d50fff01a5e2c71cc3ca 100644 --- a/tasks/0001_354_1354131_qa_1/task.toml +++ b/tasks/0001_354_1354131_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/iris" gold_answer = "yes" reward_mode_initial = "exact_bool" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_361_1361614_qa_1/task.toml b/tasks/0001_361_1361614_qa_1/task.toml index bb430e14feaf74fb75d8ddd305927e364c906482..dee9c6368702f1fd7df03fdced084d74335679c2 100644 --- a/tasks/0001_361_1361614_qa_1/task.toml +++ b/tasks/0001_361_1361614_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "berkeleyearth/climate-change-earth-surface-temperature-da gold_answer = "New Delhi" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_367_1367107_qa_1/task.toml b/tasks/0001_367_1367107_qa_1/task.toml index bdba127cd4707b3cebb51933a5a922e72e788885..e579364e4603c33af13c2dfa1308a45b8e3eb673 100644 --- a/tasks/0001_367_1367107_qa_1/task.toml +++ b/tasks/0001_367_1367107_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "mylesoneill/game-of-thrones" gold_answer = "battle_number, year" reward_mode_initial = "list" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_374_1374329_qa_3/task.toml b/tasks/0001_374_1374329_qa_3/task.toml index f4390bd900a8edd129d73c3c79d9066404c3f590..ef9e369970e55906062cc6936cec1663c9b80789 100644 --- a/tasks/0001_374_1374329_qa_3/task.toml +++ b/tasks/0001_374_1374329_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "rajanand/suicides-in-india" gold_answer = "Married" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_425_1425114_qa_5/task.toml b/tasks/0001_425_1425114_qa_5/task.toml index c1412586cec98855f2058697ee09d04154d8c4d3..2df48e6d44600b265063d7974f3354dcd621f55c 100644 --- a/tasks/0001_425_1425114_qa_5/task.toml +++ b/tasks/0001_425_1425114_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "crawford/gene-expression" gold_answer = "2" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_426_1426219_qa_4/task.toml b/tasks/0001_426_1426219_qa_4/task.toml index 028ee00bc7332905370e08cc5eb373754b3896fa..a5fee8dc95963b44d6dd7f1f02a402966b5c7bd6 100644 --- a/tasks/0001_426_1426219_qa_4/task.toml +++ b/tasks/0001_426_1426219_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "daiearth22/uniqlo-fastretailing-stock-price-prediction" gold_answer = "248" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_436_1436410_qa_4/task.toml b/tasks/0001_436_1436410_qa_4/task.toml index b8d220d7e697f13f9b5c9cdb1fa56798ac20f2e6..82e7293b7cad49c09235accceef0307e7051fb59 100644 --- a/tasks/0001_436_1436410_qa_4/task.toml +++ b/tasks/0001_436_1436410_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "mcdonalds/nutrition-facts" gold_answer = "Smoothies & Shakes" reward_mode_initial = "exact_short" package_tier = 3 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_445_1445407_qa_4/task.toml b/tasks/0001_445_1445407_qa_4/task.toml index 07cb6c53939175e8e89a39d0187d61431ac4d6e4..39c62e9447abcc292902da65163dbaf65895c696 100644 --- a/tasks/0001_445_1445407_qa_4/task.toml +++ b/tasks/0001_445_1445407_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "crawford/gene-expression" gold_answer = "34" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_448_1448587_qa_3/task.toml b/tasks/0001_448_1448587_qa_3/task.toml index ba430e0e426c7bd5caa076c394062f362be9efd1..7120e497d2c1f1ec18ff4031dff4410e28f861d9 100644 --- a/tasks/0001_448_1448587_qa_3/task.toml +++ b/tasks/0001_448_1448587_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "rajanand/fdi-in-india" gold_answer = "567.63, 359.34, 456.31, 1440.18" reward_mode_initial = "list" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_490_1490464_qa_3/task.toml b/tasks/0001_490_1490464_qa_3/task.toml index 28876df2f3b215e0ec1a5944c7bd9d2377ab06e5..2b81823a035c351c4aeea2e37fe25c78bc381a34 100644 --- a/tasks/0001_490_1490464_qa_3/task.toml +++ b/tasks/0001_490_1490464_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "manjeetsingh/retaildataset" gold_answer = "-0.01" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_530_1530114_qa_1/task.toml b/tasks/0001_530_1530114_qa_1/task.toml index 0e976e84853456259086606964fbaad8849c37e4..bfbf0fb1a1184ed72081da5a54845eac48a849a9 100644 --- a/tasks/0001_530_1530114_qa_1/task.toml +++ b/tasks/0001_530_1530114_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "datasnaek/league-of-legends" gold_answer = "Fighter" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_531_1531559_qa_2/task.toml b/tasks/0001_531_1531559_qa_2/task.toml index aac8f95764d010ad0d7754389927ae8d0daf2317..d0d2416f4f52d0efa066837bf45ea08a247597c4 100644 --- a/tasks/0001_531_1531559_qa_2/task.toml +++ b/tasks/0001_531_1531559_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/indian-liver-patient-records" gold_answer = "28.64" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_532_1532619_qa_4/task.toml b/tasks/0001_532_1532619_qa_4/task.toml index 4b96efea6c7031ee88c329562f929b7e9d611f53..7af84003fa4f370dcf6d541d7a97591da90598e5 100644 --- a/tasks/0001_532_1532619_qa_4/task.toml +++ b/tasks/0001_532_1532619_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/indian-liver-patient-records" gold_answer = "0.115" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_545_1545776_qa_1/task.toml b/tasks/0001_545_1545776_qa_1/task.toml index 479c41e8b4c24d10542e89dbf3eb3f1d74ffe383..231f082bc21819fde06586fe4374e179b95c4eae 100644 --- a/tasks/0001_545_1545776_qa_1/task.toml +++ b/tasks/0001_545_1545776_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "dronio/SolarEnergy" gold_answer = "Temperature" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_570_1570721_qa_4/task.toml b/tasks/0001_570_1570721_qa_4/task.toml index 3a1f732e8d620df64f15ef641a7258a3de9e58e0..99e7a98bf1ef4a544ec2a1c074c978d1c7c3d4d0 100644 --- a/tasks/0001_570_1570721_qa_4/task.toml +++ b/tasks/0001_570_1570721_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "dansbecker/nba-shot-logs" gold_answer = "0.7" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_570_1570721_qa_5/task.toml b/tasks/0001_570_1570721_qa_5/task.toml index ce7e01e6d213d72476a314399bd1f72c5f943b85..95a38806382d1280b3c4ba13b7c56ce5fcda43bc 100644 --- a/tasks/0001_570_1570721_qa_5/task.toml +++ b/tasks/0001_570_1570721_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "dansbecker/nba-shot-logs" gold_answer = "1" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_593_1593034_qa_5/task.toml b/tasks/0001_593_1593034_qa_5/task.toml index 99c8a21741b541734019ab769cb2367b26521703..c50c64b813c00b64db533b907a38d8869ca8a7cc 100644 --- a/tasks/0001_593_1593034_qa_5/task.toml +++ b/tasks/0001_593_1593034_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "piyushgoyal443/red-wine-dataset" gold_answer = "10.422983" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_632_1632381_qa_1/task.toml b/tasks/0001_632_1632381_qa_1/task.toml index ecec2f31400ce6711f9aca582d52527bb4c74f9d..f5d320ac43d295ac58f729f6aec3adc72151048f 100644 --- a/tasks/0001_632_1632381_qa_1/task.toml +++ b/tasks/0001_632_1632381_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "mlg-ulb/creditcardfraud" gold_answer = "0.920455" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_649_1649151_qa_1/task.toml b/tasks/0001_649_1649151_qa_1/task.toml index 83dfc188a19c477aa87cae6f11e0fc5bec50c10a..7fa8c1978364a884c2dd2a9c585d56b33007078a 100644 --- a/tasks/0001_649_1649151_qa_1/task.toml +++ b/tasks/0001_649_1649151_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "manasgarg/ipl" gold_answer = "LMP Simmons" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_656_1656907_qa_4/task.toml b/tasks/0001_656_1656907_qa_4/task.toml index 8b8568907a0bbfe221627fdca330b9b7a99cbba6..652ac447eeef0b5b5bfcbb8591e8a100772c9832 100644 --- a/tasks/0001_656_1656907_qa_4/task.toml +++ b/tasks/0001_656_1656907_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "rtatman/digidb" gold_answer = "25" reward_mode_initial = "numeric" package_tier = 0 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_656_1656907_qa_5/task.toml b/tasks/0001_656_1656907_qa_5/task.toml index 2f43c2d91c25674466cf35db35c9f21c4ec7b21f..be273cffe08d2c2fe677a8eeeb122a31966f99aa 100644 --- a/tasks/0001_656_1656907_qa_5/task.toml +++ b/tasks/0001_656_1656907_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "rtatman/digidb" gold_answer = "1.57" reward_mode_initial = "numeric" package_tier = 0 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_660_1660748_qa_4/task.toml b/tasks/0001_660_1660748_qa_4/task.toml index 0f2afab69ff061b9dc5d457712ee0de592f6c1e9..364e45f424065d0921fad28c6671c45d2e7e2f67 100644 --- a/tasks/0001_660_1660748_qa_4/task.toml +++ b/tasks/0001_660_1660748_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "rtatman/5day-data-challenge-signup-survey-responses" gold_answer = "I want to get a job where I use data science" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_667_1667317_qa_1/task.toml b/tasks/0001_667_1667317_qa_1/task.toml index c065cc5107dd71af7cc53f0dfec70b9f07f79cea..c04dbeee1fd16fc93b38c9f38845cff1539be2e9 100644 --- a/tasks/0001_667_1667317_qa_1/task.toml +++ b/tasks/0001_667_1667317_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "crawford/1000-cameras-dataset" gold_answer = "518.0" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_669_1669063_qa_3/task.toml b/tasks/0001_669_1669063_qa_3/task.toml index d7b751d3793b89ae5dca93b4db1606a9ba5099b6..63db5712e5e750d53b502238fddf822b0e046dfe 100644 --- a/tasks/0001_669_1669063_qa_3/task.toml +++ b/tasks/0001_669_1669063_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "rtatman/5day-data-challenge-signup-survey-responses" gold_answer = "906.20016012810243" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_674_1674081_qa_1/task.toml b/tasks/0001_674_1674081_qa_1/task.toml index c554631c90b29280c63e18236c7ac6c1291198c5..b2c670b75a07d0702ac4995de2b00ecfcf4f91c3 100644 --- a/tasks/0001_674_1674081_qa_1/task.toml +++ b/tasks/0001_674_1674081_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "kondla/carinsurance" gold_answer = "98417" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_735_1735855_qa_1/task.toml b/tasks/0001_735_1735855_qa_1/task.toml index 4c8c6cf0bb5c56901c7b60109c08370158680d3d..4f86bf8c66e439ab2f84acbf3490871607350b26 100644 --- a/tasks/0001_735_1735855_qa_1/task.toml +++ b/tasks/0001_735_1735855_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "zusmani/the-holy-quran" gold_answer = "allah" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_736_1736876_qa_4/task.toml b/tasks/0001_736_1736876_qa_4/task.toml index bb39c9ac388aaa311bcf2d7870727c66010b952f..a829ee9543c9c398d85f60a24f9750b6d905cea4 100644 --- a/tasks/0001_736_1736876_qa_4/task.toml +++ b/tasks/0001_736_1736876_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "kaggle/kaggle-survey-2017" gold_answer = "13" reward_mode_initial = "numeric" package_tier = 3 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_737_1737901_qa_1/task.toml b/tasks/0001_737_1737901_qa_1/task.toml index f18416f8e64d48139c7050f9132e84562deda86d..9b1bdf5ab66e1b788f32bb37fb3b24faa6cb73b1 100644 --- a/tasks/0001_737_1737901_qa_1/task.toml +++ b/tasks/0001_737_1737901_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "kaggle/kaggle-survey-2017" gold_answer = "30" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_741_1741634_qa_2/task.toml b/tasks/0001_741_1741634_qa_2/task.toml index c709b9dd5ab83523ca3dab2f5f85b244ddc20f8a..a65f109bbbf9d760f2e212fe8737e342ba0d3415 100644 --- a/tasks/0001_741_1741634_qa_2/task.toml +++ b/tasks/0001_741_1741634_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "kaggle/kaggle-survey-2017" gold_answer = "2000000" reward_mode_initial = "numeric" package_tier = 0 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_878_1878746_qa_1/task.toml b/tasks/0001_878_1878746_qa_1/task.toml index 827174b52dc962db5cb346d38a261cca5156b4f3..c887ffe56d956dd31dc9ae88f021ac15d354a029 100644 --- a/tasks/0001_878_1878746_qa_1/task.toml +++ b/tasks/0001_878_1878746_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "crawford/80-cereals" gold_answer = "93.704912" reward_mode_initial = "numeric" package_tier = 0 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_892_1892658_qa_3/task.toml b/tasks/0001_892_1892658_qa_3/task.toml index 502fe0dfb7404c78f1a1152fdd595772105c207c..fc9d35c9296b6f69931459e7a0a44d21fc2faa26 100644 --- a/tasks/0001_892_1892658_qa_3/task.toml +++ b/tasks/0001_892_1892658_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "crawford/80-cereals" gold_answer = "no" reward_mode_initial = "exact_bool" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_894_1894014_qa_2/task.toml b/tasks/0001_894_1894014_qa_2/task.toml index 84b050a45e809fa8ab4b7e81366bbf1ee86dc78e..2b4f588ccceb86e278aaab116314ea02cb7b7efe 100644 --- a/tasks/0001_894_1894014_qa_2/task.toml +++ b/tasks/0001_894_1894014_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "imls/museum-directory" gold_answer = "5483602" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_908_1908198_qa_1/task.toml b/tasks/0001_908_1908198_qa_1/task.toml index a0b3de22566647208b6b2b99a0f5467e6324d7fc..9c16688a6079c5b6482f7f38b015c8e90f3efb93 100644 --- a/tasks/0001_908_1908198_qa_1/task.toml +++ b/tasks/0001_908_1908198_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "rtatman/animal-bites" gold_answer = "Pit Bull" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_938_1938182_qa_3/task.toml b/tasks/0001_938_1938182_qa_3/task.toml index a54ab24b07597c95e6e40e5f3486d8add8ab9704..99fc36d9ff00c1f7abaaef52fb9a0627b6663ab2 100644 --- a/tasks/0001_938_1938182_qa_3/task.toml +++ b/tasks/0001_938_1938182_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "rtatman/5day-data-challenge-signup-survey-responses" gold_answer = "I want to get a job where I use data science" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_955_1955907_qa_3/task.toml b/tasks/0001_955_1955907_qa_3/task.toml index fd82743b71a4b65ce61cb890ca3fad18c6782951..e4de3da2bf7ab695744573f09a1e44cb82bf29af 100644 --- a/tasks/0001_955_1955907_qa_3/task.toml +++ b/tasks/0001_955_1955907_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "tmdb/tmdb-movie-metadata" gold_answer = "1916, 2017" reward_mode_initial = "list" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_955_1955907_qa_5/task.toml b/tasks/0001_955_1955907_qa_5/task.toml index be94c02153243fb6f61dc00665f7aa33fdb38a3b..fb5efad5df0012dc1397591b766be3300c885787 100644 --- a/tasks/0001_955_1955907_qa_5/task.toml +++ b/tasks/0001_955_1955907_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "tmdb/tmdb-movie-metadata" gold_answer = "Drama, Comedy, Thriller, Action" reward_mode_initial = "list" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_956_1956536_qa_4/task.toml b/tasks/0001_956_1956536_qa_4/task.toml index c4608068633f2596b0bf670fd67849a3bb718463..79687fe70a91b92cf15b7b11c616791544bffb45 100644 --- a/tasks/0001_956_1956536_qa_4/task.toml +++ b/tasks/0001_956_1956536_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "pavansubhasht/ibm-hr-analytics-attrition-dataset" gold_answer = "Human Resources" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_969_1969476_qa_2/task.toml b/tasks/0001_969_1969476_qa_2/task.toml index 06bc9d2989fda895fa0625723fb75b884bdd08ce..6faeb24b19dabf85b6a1bb8c62ab847f0dd129a4 100644 --- a/tasks/0001_969_1969476_qa_2/task.toml +++ b/tasks/0001_969_1969476_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "rtatman/animal-bites" gold_answer = "1" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_975_1975169_qa_3/task.toml b/tasks/0001_975_1975169_qa_3/task.toml index 5898ebc95cad4b74c7c861972af78b173358933b..ec1d0b9b5179d57cd00969ca04d608b9167922fe 100644 --- a/tasks/0001_975_1975169_qa_3/task.toml +++ b/tasks/0001_975_1975169_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "shuchirb/ibm-attrition-analysis" gold_answer = "1" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0001_998_1998202_qa_2/task.toml b/tasks/0001_998_1998202_qa_2/task.toml index 7e4024493d2ddbd280cca804056671b751e4eb3d..542897764971e2558d858b6f35707073851bec61 100644 --- a/tasks/0001_998_1998202_qa_2/task.toml +++ b/tasks/0001_998_1998202_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "panoskostakos/online-sex-work" gold_answer = "209" reward_mode_initial = "numeric" package_tier = 0 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0002_081_2081941_qa_2/task.toml b/tasks/0002_081_2081941_qa_2/task.toml index ca2ca5f9f5303d8875333269085b3a3efb9028a2..1f703e6486660508a40ebfb3f5ba6a7e2ea70fa8 100644 --- a/tasks/0002_081_2081941_qa_2/task.toml +++ b/tasks/0002_081_2081941_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "rounakbanik/ted-talks" gold_answer = "comments" reward_mode_initial = "exact_short" package_tier = 3 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0002_092_2092240_qa_1/task.toml b/tasks/0002_092_2092240_qa_1/task.toml index 2f0ba2887b8a597d8ab464ba43b433e539d9aca1..0e35403f55b54700114c1c3cab07a800d7f3aedb 100644 --- a/tasks/0002_092_2092240_qa_1/task.toml +++ b/tasks/0002_092_2092240_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gilsousa/habermans-survival-data-set" gold_answer = "0" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0002_157_2157761_qa_4/task.toml b/tasks/0002_157_2157761_qa_4/task.toml index 7bf5ffda03f451dfe2070d3a3a1a24efa46f37d8..c1d501a4585c534a5fb7a1f4c4996c691808160e 100644 --- a/tasks/0002_157_2157761_qa_4/task.toml +++ b/tasks/0002_157_2157761_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "wosaku/crime-in-vancouver" gold_answer = "Central Business District" reward_mode_initial = "exact_short" package_tier = 0 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0002_203_2203836_qa_4/task.toml b/tasks/0002_203_2203836_qa_4/task.toml index 0bc59203d354f678136aefda714f8c415db2eb44..36ab15d77c95169f445a4884f1ccfdc30da0fb6b 100644 --- a/tasks/0002_203_2203836_qa_4/task.toml +++ b/tasks/0002_203_2203836_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/sms-spam-collection-dataset" gold_answer = "20" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0002_203_2203836_qa_5/task.toml b/tasks/0002_203_2203836_qa_5/task.toml index 275d32d031bf523228c2c17234f044b0dab73884..7b185e36a106661eea8917cff10e08d3586b6325 100644 --- a/tasks/0002_203_2203836_qa_5/task.toml +++ b/tasks/0002_203_2203836_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/sms-spam-collection-dataset" gold_answer = "19" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0002_217_2217508_qa_3/task.toml b/tasks/0002_217_2217508_qa_3/task.toml index 97dffaf6b989e0ade42f8888c7a9f25b253ef716..6a9a0aea04c51f4c0991f0f090529f772c71a73c 100644 --- a/tasks/0002_217_2217508_qa_3/task.toml +++ b/tasks/0002_217_2217508_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "abcsds/pokemon" gold_answer = "435.1025" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0002_217_2217977_qa_1/task.toml b/tasks/0002_217_2217977_qa_1/task.toml index db00e70a550a32621abb26ed77f158a9b0855dc6..8cdd0c0ea1debb22cbf2b0974e03502d3faed022 100644 --- a/tasks/0002_217_2217977_qa_1/task.toml +++ b/tasks/0002_217_2217977_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "zynicide/wine-reviews" gold_answer = "13695" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0002_253_2253632_qa_1/task.toml b/tasks/0002_253_2253632_qa_1/task.toml index ce8ab066a6a23fe0ef1531c42000d4685628ed37..9cb305d371090b749920b6127848259f791da0c3 100644 --- a/tasks/0002_253_2253632_qa_1/task.toml +++ b/tasks/0002_253_2253632_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "shivam2503/diamonds" gold_answer = "carat" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0002_349_2349296_qa_2/task.toml b/tasks/0002_349_2349296_qa_2/task.toml index 860657742b016599ed4efc80efb171c8ac4192b1..66f986be986973aa16bbb3521a6f7c964ff0dc26 100644 --- a/tasks/0002_349_2349296_qa_2/task.toml +++ b/tasks/0002_349_2349296_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "zynicide/wine-reviews" gold_answer = "Roger Voss, 25514" reward_mode_initial = "list" package_tier = 0 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0002_349_2349296_qa_3/task.toml b/tasks/0002_349_2349296_qa_3/task.toml index 5f01080c035cdfb5402b701d21e40ceee7d52d61..f78766acda767d4ae14941cc8eff72e06be384b3 100644 --- a/tasks/0002_349_2349296_qa_3/task.toml +++ b/tasks/0002_349_2349296_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "zynicide/wine-reviews" gold_answer = "100" reward_mode_initial = "numeric" package_tier = 0 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0010_256_10256782_qa_1/task.toml b/tasks/0010_256_10256782_qa_1/task.toml index efdd4fe56f71a31d43021dd1cf839fda341c3aa7..748bc183caa3e7ae519a66f3982748130fe097ea 100644 --- a/tasks/0010_256_10256782_qa_1/task.toml +++ b/tasks/0010_256_10256782_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "new-york-city/nyc-property-sales" gold_answer = "12560" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0010_489_10489077_qa_4/task.toml b/tasks/0010_489_10489077_qa_4/task.toml index c72f155e97c6d4d2b62bafd253636fb90005824c..1d538d8cb77e8bb8ee3b786a911e978e3d2f94bd 100644 --- a/tasks/0010_489_10489077_qa_4/task.toml +++ b/tasks/0010_489_10489077_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "unsdsn/world-happiness" gold_answer = "3" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0010_515_10515511_qa_1/task.toml b/tasks/0010_515_10515511_qa_1/task.toml index 51b7bafd685ed62aa1e596a41bacf0ec5641e60a..d5d4567d6e28c58521f29af6db1bca74be65e04b 100644 --- a/tasks/0010_515_10515511_qa_1/task.toml +++ b/tasks/0010_515_10515511_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "harmanpreet93/hotelreviews" gold_answer = "Firefox" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0010_860_10860955_qa_1/task.toml b/tasks/0010_860_10860955_qa_1/task.toml index 55c80267b9fa9422244047305111e9f86b867743..68042f4af9c3cfaf663dbc5587d1395b04f9fd05 100644 --- a/tasks/0010_860_10860955_qa_1/task.toml +++ b/tasks/0010_860_10860955_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/pima-indians-diabetes-database" gold_answer = "Glucose, BMI, Age, DiabetesPedigreeFunction" reward_mode_initial = "list" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0011_000_11000770_qa_4/task.toml b/tasks/0011_000_11000770_qa_4/task.toml index 5174e16fad41db6c3f47568877b0b402f5e1968b..573c4228d18cdb2606e663a0a5952c6f41ae0bb9 100644 --- a/tasks/0011_000_11000770_qa_4/task.toml +++ b/tasks/0011_000_11000770_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/red-wine-quality-cortez-et-al-2009" gold_answer = "alcohol" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0011_224_11224334_qa_1/task.toml b/tasks/0011_224_11224334_qa_1/task.toml index 5e5fa38b35c3d8294c0235030c4098c3441e938e..1371fbeaf709391d201c81f0f5eab3ac0153fcec 100644 --- a/tasks/0011_224_11224334_qa_1/task.toml +++ b/tasks/0011_224_11224334_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "abcsds/pokemon" gold_answer = "1" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0011_412_11412178_qa_1/task.toml b/tasks/0011_412_11412178_qa_1/task.toml index 3943c5da33e16b287372e7416195643c774e803f..9e9c78a261c383eee2b7fb7af9d706edf8295ee6 100644 --- a/tasks/0011_412_11412178_qa_1/task.toml +++ b/tasks/0011_412_11412178_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "rounakbanik/ted-talks" gold_answer = "7.355351003636895e-34" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0011_637_11637182_qa_3/task.toml b/tasks/0011_637_11637182_qa_3/task.toml index 297fa1847644a733771dc756b2b8bc04fec51b6d..8037ec15032c14d5c12437b116b4b315d04163b3 100644 --- a/tasks/0011_637_11637182_qa_3/task.toml +++ b/tasks/0011_637_11637182_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/pima-indians-diabetes-database" gold_answer = "232" reward_mode_initial = "numeric" package_tier = 0 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0011_723_11723635_qa_4/task.toml b/tasks/0011_723_11723635_qa_4/task.toml index 487e06368c6d1c0f26d212304fdd51d78aa44863..9426d3c617527c9034b53fb39248323bd875e055 100644 --- a/tasks/0011_723_11723635_qa_4/task.toml +++ b/tasks/0011_723_11723635_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "oswinrh/bible" gold_answer = "JESUS CHRIST" reward_mode_initial = "exact_short" package_tier = 3 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0012_101_12101308_qa_2/task.toml b/tasks/0012_101_12101308_qa_2/task.toml index ca7a15d147958d59a339ce9978ecaf3ce8508e01..c54c4af036654bed540ec106b33b1050507ea78e 100644 --- a/tasks/0012_101_12101308_qa_2/task.toml +++ b/tasks/0012_101_12101308_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "pavansubhasht/ibm-hr-analytics-attrition-dataset" gold_answer = "Sales" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0012_222_12222108_qa_2/task.toml b/tasks/0012_222_12222108_qa_2/task.toml index 4397e0bd3e955e236a94c8cc020d9109fea96627..fa1faef572febddf26086950dc06db2d546554d6 100644 --- a/tasks/0012_222_12222108_qa_2/task.toml +++ b/tasks/0012_222_12222108_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/biomechanical-features-of-orthopedic-patients" gold_answer = "0.6458" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0012_222_12222108_qa_5/task.toml b/tasks/0012_222_12222108_qa_5/task.toml index 69fca524e9e0ce956c88478a4a85701a8ca12dbe..d0b9d44b688a36989ab17d21ef92ee588c83ac97 100644 --- a/tasks/0012_222_12222108_qa_5/task.toml +++ b/tasks/0012_222_12222108_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/biomechanical-features-of-orthopedic-patients" gold_answer = "78.4078" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0012_748_12748314_qa_3/task.toml b/tasks/0012_748_12748314_qa_3/task.toml index 712b04225b1e6bbe3f538f5cdace965e71746d52..813a23257bb58e7c003ee7d5b5f296dd0400c231 100644 --- a/tasks/0012_748_12748314_qa_3/task.toml +++ b/tasks/0012_748_12748314_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gilsousa/habermans-survival-data-set" gold_answer = "survived=46, not_survived=52" reward_mode_initial = "list" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0012_840_12840531_qa_5/task.toml b/tasks/0012_840_12840531_qa_5/task.toml index 87e4257cf2bfa87fa524150a542774e7dc1a97dc..962d0a9bfc7112f3c33e0d2ae197b0832c39d6a4 100644 --- a/tasks/0012_840_12840531_qa_5/task.toml +++ b/tasks/0012_840_12840531_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "datamunge/sign-language-mnist" gold_answer = "0 to 1" reward_mode_initial = "exact_short" package_tier = 2 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0013_457_13457318_qa_3/task.toml b/tasks/0013_457_13457318_qa_3/task.toml index 53eee1465c13b8f4bb4c038527bffe5a68cc67a0..3b679b6830b75dace53282fdfc03f9a0354d3df3 100644 --- a/tasks/0013_457_13457318_qa_3/task.toml +++ b/tasks/0013_457_13457318_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "kabure/german-credit-data-with-risk" gold_answer = "radio/TV" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0013_708_13708498_qa_4/task.toml b/tasks/0013_708_13708498_qa_4/task.toml index 64ee4f6ea4958eaf3cac7ee5bdcba650f1b3f6e2..8137b038a53956d2bb51fc72efdd5686ed0d84ed 100644 --- a/tasks/0013_708_13708498_qa_4/task.toml +++ b/tasks/0013_708_13708498_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "abhinavwalia95/entity-annotated-corpus" gold_answer = "35177" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0013_821_13821679_qa_4/task.toml b/tasks/0013_821_13821679_qa_4/task.toml index 7603b5d2f137a323c2bac2977cd359a136a61e39..3147d5a9abf40912d0a8484e98ef232cb84129d3 100644 --- a/tasks/0013_821_13821679_qa_4/task.toml +++ b/tasks/0013_821_13821679_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "terminus7/pokemon-challenge" gold_answer = "7" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0014_351_14351012_qa_2/task.toml b/tasks/0014_351_14351012_qa_2/task.toml index c6be0bce71b48e07dd25612bb70d73abb204ddaa..86d4146d3e4bcc0e9f1e247a27a49070c4d55b37 100644 --- a/tasks/0014_351_14351012_qa_2/task.toml +++ b/tasks/0014_351_14351012_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "ashukr/weatherdata" gold_answer = "24.99" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0014_358_14358635_qa_1/task.toml b/tasks/0014_358_14358635_qa_1/task.toml index 9e368b72cac5f27435629b2ad64b74bde6fadb59..3736075ff8f1ddf3020621685068cd7cc8a7465f 100644 --- a/tasks/0014_358_14358635_qa_1/task.toml +++ b/tasks/0014_358_14358635_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "camnugent/california-housing-prices" gold_answer = "median_income" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0014_428_14428721_qa_5/task.toml b/tasks/0014_428_14428721_qa_5/task.toml index c8b9cf29172b87bb5470d2d1f66c2aa19db7e1fa..101d37d3b84340427d9783e89f736442e2fc9a90 100644 --- a/tasks/0014_428_14428721_qa_5/task.toml +++ b/tasks/0014_428_14428721_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "abcsds/pokemon" gold_answer = "3" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0014_938_14938015_qa_3/task.toml b/tasks/0014_938_14938015_qa_3/task.toml index 4cb2c84eeb558905ee39f5a0f4f5e133df0b5f0e..4ad166aca132840c178cc9296933bd87bc94c444 100644 --- a/tasks/0014_938_14938015_qa_3/task.toml +++ b/tasks/0014_938_14938015_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "abcsds/pokemon" gold_answer = "Total" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0015_285_15285404_qa_3/task.toml b/tasks/0015_285_15285404_qa_3/task.toml index b42379f14092a73ff3b0530a24632ec9f098ceb3..686bcf696c63f5f33be927d77c40240b8d80a82c 100644 --- a/tasks/0015_285_15285404_qa_3/task.toml +++ b/tasks/0015_285_15285404_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "becksddf/churn-in-telecoms-dataset" gold_answer = "101.06" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0015_288_15288932_qa_4/task.toml b/tasks/0015_288_15288932_qa_4/task.toml index fb5d475e1ea7a1c3ad1ac412232160dde3ca1984..9f6ddee02231451fe302af35565c0f157033a8a5 100644 --- a/tasks/0015_288_15288932_qa_4/task.toml +++ b/tasks/0015_288_15288932_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "yuqing01/breast-cancer" gold_answer = "no" reward_mode_initial = "exact_bool" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0015_624_15624986_qa_4/task.toml b/tasks/0015_624_15624986_qa_4/task.toml index 764023750a7f401fd60bb1a1f20ef855daf28a94..27434ab5cc40d28c84414cd2d4a446695fcd6cc6 100644 --- a/tasks/0015_624_15624986_qa_4/task.toml +++ b/tasks/0015_624_15624986_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/iris" gold_answer = "5.84" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0015_808_15808353_qa_1/task.toml b/tasks/0015_808_15808353_qa_1/task.toml index bc783402fbe05c63f54d2305f4b02555b0725132..61079ab82c5d569561ac546f9ab74f56ef74932b 100644 --- a/tasks/0015_808_15808353_qa_1/task.toml +++ b/tasks/0015_808_15808353_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gilsousa/habermans-survival-data-set" gold_answer = "73.44" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0015_881_15881525_qa_2/task.toml b/tasks/0015_881_15881525_qa_2/task.toml index b7d5260f84d88905d51a0612ef037e7107f4e52c..2d13d5bd45dd4b69adcf7cdf8bf70f870f55723b 100644 --- a/tasks/0015_881_15881525_qa_2/task.toml +++ b/tasks/0015_881_15881525_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/forest-cover-type-dataset" gold_answer = "Cover_Type 2, 283301" reward_mode_initial = "list" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0016_039_16039611_qa_3/task.toml b/tasks/0016_039_16039611_qa_3/task.toml index 96a72171f5bc8921631a7aa6d6dbb8cfafa94448..625843ed7016d64c7be43c86f9f8b9221a05912c 100644 --- a/tasks/0016_039_16039611_qa_3/task.toml +++ b/tasks/0016_039_16039611_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/pima-indians-diabetes-database" gold_answer = "0.57" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0016_573_16573161_qa_2/task.toml b/tasks/0016_573_16573161_qa_2/task.toml index d20f61123b10955262975854bf18a3a7aac84d90..77c712af49385435889b9acec63ac989fe0fb5b1 100644 --- a/tasks/0016_573_16573161_qa_2/task.toml +++ b/tasks/0016_573_16573161_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "rounakbanik/pokemon" gold_answer = "1/3" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0016_945_16945752_qa_1/task.toml b/tasks/0016_945_16945752_qa_1/task.toml index 6f8c0a6bb0877063d5cab38f02fe4a3b046d15d9..b126635484892e0f7e7ac54f7be9a24a8921b431 100644 --- a/tasks/0016_945_16945752_qa_1/task.toml +++ b/tasks/0016_945_16945752_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gilsousa/habermans-survival-data-set" gold_answer = "4.67" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0017_257_17257933_qa_3/task.toml b/tasks/0017_257_17257933_qa_3/task.toml index 227dc689cc4bbbe97dff1b1de0c7791f62e704b6..bf2ddeed41c6e23c1327a9488a29977b88aec9fe 100644 --- a/tasks/0017_257_17257933_qa_3/task.toml +++ b/tasks/0017_257_17257933_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/pima-indians-diabetes-database" gold_answer = "17" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0017_257_17257933_qa_5/task.toml b/tasks/0017_257_17257933_qa_5/task.toml index 0ece4ff1f2a9ca99f4a209babb69381a836130d8..52afbc6ecfb652846286c157c23db04e7e50cfdd 100644 --- a/tasks/0017_257_17257933_qa_5/task.toml +++ b/tasks/0017_257_17257933_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/pima-indians-diabetes-database" gold_answer = "5" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0017_291_17291057_qa_5/task.toml b/tasks/0017_291_17291057_qa_5/task.toml index 4eabc0ef7c3b3560830a434a0011d0fb1d82c052..5637cee53013b2deeea7a64881a4bd1911e0db5a 100644 --- a/tasks/0017_291_17291057_qa_5/task.toml +++ b/tasks/0017_291_17291057_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/red-wine-quality-cortez-et-al-2009" gold_answer = "volatile acidity" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0018_020_18020173_qa_5/task.toml b/tasks/0018_020_18020173_qa_5/task.toml index c4ab045248f2cee4df534d8537d565564521f976..a62618dc09eaedf3b3d484fde1c35d7db05dff42 100644 --- a/tasks/0018_020_18020173_qa_5/task.toml +++ b/tasks/0018_020_18020173_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "kaggle/sf-salaries" gold_answer = "2014" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0018_519_18519406_qa_1/task.toml b/tasks/0018_519_18519406_qa_1/task.toml index d1d6a24d8505f8ae279bfb7da90bd7af050ac42c..809811848ef7d047d9268cd76564b27f15adbde1 100644 --- a/tasks/0018_519_18519406_qa_1/task.toml +++ b/tasks/0018_519_18519406_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "jinxbe/wnba-player-stats-2017" gold_answer = "32" reward_mode_initial = "numeric" package_tier = 0 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0019_416_19416448_qa_4/task.toml b/tasks/0019_416_19416448_qa_4/task.toml index 9a3786b18114d1c06baa2f303f7df6ccfdee3c33..cabad6dd620bff0b7daf8d99b626af24b890dcaa 100644 --- a/tasks/0019_416_19416448_qa_4/task.toml +++ b/tasks/0019_416_19416448_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "danerbland/electionfinance" gold_answer = "0.92" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0019_521_19521236_qa_1/task.toml b/tasks/0019_521_19521236_qa_1/task.toml index b78dbaa5cf71ac116c8b82eb93ebe75551fc04e3..5adde977533ffa159604c5a232bd5600f80a0802 100644 --- a/tasks/0019_521_19521236_qa_1/task.toml +++ b/tasks/0019_521_19521236_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "mcdonalds/nutrition-facts" gold_answer = "Chicken McNuggets (40 piece)" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0019_787_19787626_qa_3/task.toml b/tasks/0019_787_19787626_qa_3/task.toml index 97d346491387874f175aaefad7e867e26ac86798..fea9cc5d7780939f3f5a6861a572c89938a12eff 100644 --- a/tasks/0019_787_19787626_qa_3/task.toml +++ b/tasks/0019_787_19787626_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gopalchettri/usa-housing" gold_answer = "-2640159.796851911" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0019_787_19787626_qa_4/task.toml b/tasks/0019_787_19787626_qa_4/task.toml index 58570f985a12465844ebc7521d4287abf6667da7..05c83cb8bb0963814086517a2f03bbba21cea69f 100644 --- a/tasks/0019_787_19787626_qa_4/task.toml +++ b/tasks/0019_787_19787626_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gopalchettri/usa-housing" gold_answer = "1232073.0" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0020_511_20511877_qa_4/task.toml b/tasks/0020_511_20511877_qa_4/task.toml index 3c31c549177547f30e74ba4b37bf8704ded3802f..5b789d162093e70ce30c970bf885d976daf35349 100644 --- a/tasks/0020_511_20511877_qa_4/task.toml +++ b/tasks/0020_511_20511877_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "rush4ratio/video-game-sales-with-ratings" gold_answer = "9.66" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0020_895_20895805_qa_2/task.toml b/tasks/0020_895_20895805_qa_2/task.toml index ee52e258d730b5c67f43bacb3daee5f0653ab1b4..42aa7489ae4dec87033fb6fa33870d5c4fc74137 100644 --- a/tasks/0020_895_20895805_qa_2/task.toml +++ b/tasks/0020_895_20895805_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "crowdflower/twitter-airline-sentiment" gold_answer = "63.12" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0021_145_21145195_qa_3/task.toml b/tasks/0021_145_21145195_qa_3/task.toml index f289133935169d3b55debd06356e84ab571bac3c..676ef8006f13addb451b76db2a88b671c6256762 100644 --- a/tasks/0021_145_21145195_qa_3/task.toml +++ b/tasks/0021_145_21145195_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "rajanand/rainfall-in-india" gold_answer = "July" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0021_336_21336465_qa_2/task.toml b/tasks/0021_336_21336465_qa_2/task.toml index 37754266cd1b514c373d2b4367eaba2cc1d43f68..cf2aa3b6a872f9894a2ad7302d227e2fef3d39c2 100644 --- a/tasks/0021_336_21336465_qa_2/task.toml +++ b/tasks/0021_336_21336465_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "blastchar/telco-customer-churn" gold_answer = "0.16" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0021_358_21358195_qa_4/task.toml b/tasks/0021_358_21358195_qa_4/task.toml index 88a7da22aad4d469ceae0dc0d01bc6434a0b01a3..9fbc38c20d2842f7ea62015c5b9c486a72e5537a 100644 --- a/tasks/0021_358_21358195_qa_4/task.toml +++ b/tasks/0021_358_21358195_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/iris" gold_answer = "2.5" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0021_698_21698205_qa_2/task.toml b/tasks/0021_698_21698205_qa_2/task.toml index ec7ae852da01385325e8f7bc3e3029955fcb2c31..047b45c26e62b9bbeb0f583a584d9cc54084f0a6 100644 --- a/tasks/0021_698_21698205_qa_2/task.toml +++ b/tasks/0021_698_21698205_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/mushroom-classification" gold_answer = "LDA" reward_mode_initial = "exact_short" package_tier = 2 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0021_699_21699891_qa_1/task.toml b/tasks/0021_699_21699891_qa_1/task.toml index 340a8a97b7dcd263fb3e1f5e49d5707d896155ae..fb276c3b7295a18449be71962a5993c880136621 100644 --- a/tasks/0021_699_21699891_qa_1/task.toml +++ b/tasks/0021_699_21699891_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "imrandude/studentdropindia2016" gold_answer = "4.7" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0021_804_21804957_qa_3/task.toml b/tasks/0021_804_21804957_qa_3/task.toml index 9e3f43b5348d5078e82679cbd46564b21e1fe7e6..a0088433865ee0aea32a49e2fab34421f77f4084 100644 --- a/tasks/0021_804_21804957_qa_3/task.toml +++ b/tasks/0021_804_21804957_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "snap/amazon-fine-food-reviews" gold_answer = "Positive" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0021_893_21893685_qa_5/task.toml b/tasks/0021_893_21893685_qa_5/task.toml index 892745d19e8f83855123efcd6caaf0f8d57e033e..1d3dd3cdff228a14f5c8a14784d81d320fef90d0 100644 --- a/tasks/0021_893_21893685_qa_5/task.toml +++ b/tasks/0021_893_21893685_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/breast-cancer-wisconsin-data" gold_answer = "62.7% benign, 37.3% malignant" reward_mode_initial = "list" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0022_668_22668393_qa_3/task.toml b/tasks/0022_668_22668393_qa_3/task.toml index 51903d8844da706b194bcb00109683963ad381fc..7f50b69989cc9b4c31e5adf2a8b27680ef774a09 100644 --- a/tasks/0022_668_22668393_qa_3/task.toml +++ b/tasks/0022_668_22668393_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "unsdsn/world-happiness" gold_answer = "16.4, Sub-Saharan Africa" reward_mode_initial = "list" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0022_790_22790047_qa_2/task.toml b/tasks/0022_790_22790047_qa_2/task.toml index 2c3d381eac431ded7e51269af3b35c0c782f23c5..ec141e4f391b0f6e54ce649cf98259147ad05cc5 100644 --- a/tasks/0022_790_22790047_qa_2/task.toml +++ b/tasks/0022_790_22790047_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "grosvenpaul/family-income-and-expenditure" gold_answer = "11815988" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0023_531_23531492_qa_4/task.toml b/tasks/0023_531_23531492_qa_4/task.toml index 83df1c62acd832c66e46c14d087fec708ec43cf1..59502437fdfb25eec0eb20650b90fb688baa51fb 100644 --- a/tasks/0023_531_23531492_qa_4/task.toml +++ b/tasks/0023_531_23531492_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "abcsds/pokemon" gold_answer = "71.9025" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0023_531_23531492_qa_5/task.toml b/tasks/0023_531_23531492_qa_5/task.toml index e7dfafcccbc6b444a345bc6126038f023b7a522c..4d3612d579747b33fca0b6284bd47452ef9cc972 100644 --- a/tasks/0023_531_23531492_qa_5/task.toml +++ b/tasks/0023_531_23531492_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "abcsds/pokemon" gold_answer = "0.2736" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0023_715_23715177_qa_2/task.toml b/tasks/0023_715_23715177_qa_2/task.toml index 92c49ff85eebc523f6c635f5eaab232f92eb52d1..d36d86ece9ea960d02568d1cceac64fa12309373 100644 --- a/tasks/0023_715_23715177_qa_2/task.toml +++ b/tasks/0023_715_23715177_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "residentmario/ramen-ratings" gold_answer = "20" reward_mode_initial = "numeric" package_tier = 0 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0023_772_23772737_qa_1/task.toml b/tasks/0023_772_23772737_qa_1/task.toml index 53acff9e8b498eaa54e58aa0b7da88188ecc59dd..509a34426a0f4d75753bd6e522047928f6f24c50 100644 --- a/tasks/0023_772_23772737_qa_1/task.toml +++ b/tasks/0023_772_23772737_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/red-wine-quality-cortez-et-al-2009" gold_answer = "alcohol" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0023_913_23913406_qa_1/task.toml b/tasks/0023_913_23913406_qa_1/task.toml index 4740a75cf26f56036a0c79d30ed7f4f27ad9e81f..9499c3545b9d78de4baab3439a10ce8a029612f0 100644 --- a/tasks/0023_913_23913406_qa_1/task.toml +++ b/tasks/0023_913_23913406_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "zaurbegiev/my-dataset" gold_answer = "36423" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0024_025_24025935_qa_3/task.toml b/tasks/0024_025_24025935_qa_3/task.toml index 6a20aebe5109fffdb713ab61dd538ac41abcafa9..5e83bb6ab68fef1ae171f0a747b2b7f328016b4e 100644 --- a/tasks/0024_025_24025935_qa_3/task.toml +++ b/tasks/0024_025_24025935_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "addynaik/ct-accidental-drug-related-deaths-2012june-2017" gold_answer = "Heroin" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0024_252_24252070_qa_2/task.toml b/tasks/0024_252_24252070_qa_2/task.toml index e46851f5269c229b7a03dc0666c15b9d518823c6..c82723f09de5f43cdec032d9b2d28d5c35cd64e7 100644 --- a/tasks/0024_252_24252070_qa_2/task.toml +++ b/tasks/0024_252_24252070_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "tmdb/tmdb-movie-metadata" gold_answer = "1" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0024_610_24610752_qa_3/task.toml b/tasks/0024_610_24610752_qa_3/task.toml index 7a07c3812c70fd97e18c3bc152939d76934e52ae..df1726413962835c6cce9a9bcf1c6df5e9ace17e 100644 --- a/tasks/0024_610_24610752_qa_3/task.toml +++ b/tasks/0024_610_24610752_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "abcsds/pokemon" gold_answer = "735" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0024_650_24650942_qa_2/task.toml b/tasks/0024_650_24650942_qa_2/task.toml index 74dfd7d0c24a02b0834cd3a9d530416d4b8749dc..b6fbb03ceee56cf06b8dd00fd6ea61ec18108cc0 100644 --- a/tasks/0024_650_24650942_qa_2/task.toml +++ b/tasks/0024_650_24650942_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "grubenm/austin-weather" gold_answer = "Clear=924, Rain=207, Thunderstorm=188" reward_mode_initial = "list" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0024_893_24893903_qa_4/task.toml b/tasks/0024_893_24893903_qa_4/task.toml index 1c2435ef9ab469ec81ba07f675ae008181cf6e19..4dba78435aa905410ba6c97ab0ff156725d6afa1 100644 --- a/tasks/0024_893_24893903_qa_4/task.toml +++ b/tasks/0024_893_24893903_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "pavansubhasht/ibm-hr-analytics-attrition-dataset" gold_answer = "2.238" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0026_494_26494658_qa_4/task.toml b/tasks/0026_494_26494658_qa_4/task.toml index 290d76c8df5890670a82812fb010fd4eb3b0ab4a..cddddb05ca00112cba4a4372e19434be097c55b4 100644 --- a/tasks/0026_494_26494658_qa_4/task.toml +++ b/tasks/0026_494_26494658_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "weiouyang/test-dataset" gold_answer = "5936" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0026_546_26546219_qa_2/task.toml b/tasks/0026_546_26546219_qa_2/task.toml index 2a4e97f05e6a0be07fccfffd6c94ef854cd747d6..e7acfd158eaee6f88afdb33cfbd8aaca9b70ac83 100644 --- a/tasks/0026_546_26546219_qa_2/task.toml +++ b/tasks/0026_546_26546219_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "harlfoxem/housesalesprediction" gold_answer = "450000" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0026_546_26546219_qa_3/task.toml b/tasks/0026_546_26546219_qa_3/task.toml index 5beeddfbc9b0ead8ebd408bd8b606c60e4e78760..c6d193c271690f8d8048cfaa1721c34495616feb 100644 --- a/tasks/0026_546_26546219_qa_3/task.toml +++ b/tasks/0026_546_26546219_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "harlfoxem/housesalesprediction" gold_answer = "7700000" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0026_546_26546219_qa_5/task.toml b/tasks/0026_546_26546219_qa_5/task.toml index b3f9854be0e13e33b6650a19ff81791490ef67cb..b8ccfe3a89b760655c6536525c21a0809a412c99 100644 --- a/tasks/0026_546_26546219_qa_5/task.toml +++ b/tasks/0026_546_26546219_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "harlfoxem/housesalesprediction" gold_answer = "3.37" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0027_089_27089896_qa_3/task.toml b/tasks/0027_089_27089896_qa_3/task.toml index 08773547a8185a2a33bca0d01d5f11eccedce460..1ff57adbd922edbab42865f2f7aa832f8b55c399 100644 --- a/tasks/0027_089_27089896_qa_3/task.toml +++ b/tasks/0027_089_27089896_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "aariyan101/usa-housingcsv" gold_answer = "-2640159.796853739" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0027_151_27151900_qa_5/task.toml b/tasks/0027_151_27151900_qa_5/task.toml index 0a65808bf8e3ed8f39d3ec37e0376069346ab16f..0da7721f7311f7319c983cd3a0c0feb73b1f6f90 100644 --- a/tasks/0027_151_27151900_qa_5/task.toml +++ b/tasks/0027_151_27151900_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/mushroom-classification" gold_answer = "0.94559" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0027_246_27246299_qa_4/task.toml b/tasks/0027_246_27246299_qa_4/task.toml index 15b0993d0ebbdf4240043acd5a75cc10e6bb2f37..c5ea3ce8a8954c01ffce83f4ddc2b4352c835150 100644 --- a/tasks/0027_246_27246299_qa_4/task.toml +++ b/tasks/0027_246_27246299_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/pima-indians-diabetes-database" gold_answer = "Insulin" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0028_601_28601781_qa_4/task.toml b/tasks/0028_601_28601781_qa_4/task.toml index acee0fbc43b6d0725b1e166cbf4a8968a107b0f4..78568528cbc86fad192f79e360d5b9add333ba66 100644 --- a/tasks/0028_601_28601781_qa_4/task.toml +++ b/tasks/0028_601_28601781_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "primaryobjects/voicegender" gold_answer = "0.9763406940063092" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0029_136_29136731_qa_2/task.toml b/tasks/0029_136_29136731_qa_2/task.toml index e09cc0e39a179e04d504f3651f6458eed693bb3b..ad34f353e618113f6d03f78a90e45ca96c1b5947 100644 --- a/tasks/0029_136_29136731_qa_2/task.toml +++ b/tasks/0029_136_29136731_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/pima-indians-diabetes-database" gold_answer = "768, 8" reward_mode_initial = "list" package_tier = 2 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0029_184_29184728_qa_4/task.toml b/tasks/0029_184_29184728_qa_4/task.toml index 67efb983a085689e828feb879d751438330e331c..28ef63432cf4508a9eabd7674456b9847b60812b 100644 --- a/tasks/0029_184_29184728_qa_4/task.toml +++ b/tasks/0029_184_29184728_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/iris" gold_answer = "Petal Length, Petal Width" reward_mode_initial = "list" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0029_449_29449296_qa_3/task.toml b/tasks/0029_449_29449296_qa_3/task.toml index ee376a9928205678b42866d3ab4e7155f9a5af02..4c20f97ae45f7618b8fcbb966a0a312145ea34ae 100644 --- a/tasks/0029_449_29449296_qa_3/task.toml +++ b/tasks/0029_449_29449296_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/iris" gold_answer = "50" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0030_471_30471502_qa_1/task.toml b/tasks/0030_471_30471502_qa_1/task.toml index c5dfd290da02f3c29d7417faf387e52f1a89f8fd..fe7e17610676b77c9e31796953688280f2f1bc60 100644 --- a/tasks/0030_471_30471502_qa_1/task.toml +++ b/tasks/0030_471_30471502_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/mushroom-classification" gold_answer = "odor" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0030_858_30858491_qa_3/task.toml b/tasks/0030_858_30858491_qa_3/task.toml index 126bfe75e089ab4d3b7baf5cd255497049ec250d..e4ef3d3e66c44662e7f42735ec81de59a921c41b 100644 --- a/tasks/0030_858_30858491_qa_3/task.toml +++ b/tasks/0030_858_30858491_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "kyanyoga/sample-sales-data" gold_answer = "yes" reward_mode_initial = "exact_bool" package_tier = 3 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0031_326_31326436_qa_3/task.toml b/tasks/0031_326_31326436_qa_3/task.toml index e4aec9bb42907ccdfac6c0436db21902a380df76..4ccd272fe3ff742a847bba3e7237fd8be22f26f4 100644 --- a/tasks/0031_326_31326436_qa_3/task.toml +++ b/tasks/0031_326_31326436_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/pima-indians-diabetes-database" gold_answer = "yes" reward_mode_initial = "exact_bool" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0031_523_31523942_qa_4/task.toml b/tasks/0031_523_31523942_qa_4/task.toml index b06e0db49e2bbd4512710d897337617d4c186247..20e2baaf4b8de354006a422e24fc1d958cca3ec3 100644 --- a/tasks/0031_523_31523942_qa_4/task.toml +++ b/tasks/0031_523_31523942_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/biomechanical-features-of-orthopedic-patients" gold_answer = "7.42" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0031_566_31566788_qa_5/task.toml b/tasks/0031_566_31566788_qa_5/task.toml index ab8037579341beaf9b5d2036bd1446a6143f7b89..4f54a26ca6b2c172158825167274c9701e3d2387 100644 --- a/tasks/0031_566_31566788_qa_5/task.toml +++ b/tasks/0031_566_31566788_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/iris" gold_answer = "7.9" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0031_600_31600148_qa_2/task.toml b/tasks/0031_600_31600148_qa_2/task.toml index c1ddbe6cb45d4c1f5efd9652f8eb9afef595d01e..0e481a42f723e5ba04ec3c7ee706f2cff6730e56 100644 --- a/tasks/0031_600_31600148_qa_2/task.toml +++ b/tasks/0031_600_31600148_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "geomack/spotifyclassification" gold_answer = "0.998, No Absolution" reward_mode_initial = "list" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0031_872_31872499_qa_4/task.toml b/tasks/0031_872_31872499_qa_4/task.toml index 3f7681d1c0d9d06d93d2c473ea31f13161d8e15c..9736290cdd3b2314b535947da5a19b1cfddf222b 100644 --- a/tasks/0031_872_31872499_qa_4/task.toml +++ b/tasks/0031_872_31872499_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "brandao/diabetes" gold_answer = "1:1" reward_mode_initial = "exact_short" package_tier = 2 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0031_872_31872884_qa_1/task.toml b/tasks/0031_872_31872884_qa_1/task.toml index 9d9c74fbf985083c51c857958bb664933cde3880..40b2777a02139ab67134fa4f3237822a7f2c4400 100644 --- a/tasks/0031_872_31872884_qa_1/task.toml +++ b/tasks/0031_872_31872884_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gregorut/videogamesales" gold_answer = "0.941499" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0031_927_31927038_qa_4/task.toml b/tasks/0031_927_31927038_qa_4/task.toml index 1d81455bfe786aa67eac2905908bffd8d0e3e4a4..bce35050568e377a53fd2a4beecafb2bd5c6c9ca 100644 --- a/tasks/0031_927_31927038_qa_4/task.toml +++ b/tasks/0031_927_31927038_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gilsousa/habermans-survival-data-set" gold_answer = "52" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0031_931_31931380_qa_5/task.toml b/tasks/0031_931_31931380_qa_5/task.toml index a40be5974e00ec5d3ff48dbc2b6923a29d124444..8d9b78d895eca41210b4a93f994af8a8619fba8b 100644 --- a/tasks/0031_931_31931380_qa_5/task.toml +++ b/tasks/0031_931_31931380_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "the-guardian/olympic-games" gold_answer = "8419" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0032_178_32178295_qa_2/task.toml b/tasks/0032_178_32178295_qa_2/task.toml index 881cac377d3ca0f0c5d1753fb5e62764b5350dfd..e24696867cbea07945207568b4642311b8b0b39b 100644 --- a/tasks/0032_178_32178295_qa_2/task.toml +++ b/tasks/0032_178_32178295_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "shivam2503/diamonds" gold_answer = "18823" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0032_281_32281132_qa_5/task.toml b/tasks/0032_281_32281132_qa_5/task.toml index 64fc46615733be9e16ce3ebbfbba43a993f30135..7657c7fe997a2686752c77cade423a5b81f9bc6f 100644 --- a/tasks/0032_281_32281132_qa_5/task.toml +++ b/tasks/0032_281_32281132_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/mushroom-classification" gold_answer = "gill-color" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0032_350_32350811_qa_5/task.toml b/tasks/0032_350_32350811_qa_5/task.toml index 3549b4d8c860eb93515d54ec47ff37993be0b807..2dc8844ea4cc85737d331b31d9a86be1625e5c21 100644 --- a/tasks/0032_350_32350811_qa_5/task.toml +++ b/tasks/0032_350_32350811_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "iabhishekofficial/mobile-price-classification" gold_answer = "76.15" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0032_431_32431999_qa_5/task.toml b/tasks/0032_431_32431999_qa_5/task.toml index 2009f5a70fef649909083611de27f70828577f8f..736e8380c08552e2fa95f064aa1be1aeddb8d945 100644 --- a/tasks/0032_431_32431999_qa_5/task.toml +++ b/tasks/0032_431_32431999_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "dmi3kno/newcarsalesnorway" gold_answer = "yes" reward_mode_initial = "exact_bool" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0033_061_33061669_qa_3/task.toml b/tasks/0033_061_33061669_qa_3/task.toml index bb47e68328f25d4b1f4731eb7345b79c43222ddf..864facfd5701b819105cb0878daa511f88581b8b 100644 --- a/tasks/0033_061_33061669_qa_3/task.toml +++ b/tasks/0033_061_33061669_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/iris" gold_answer = "Iris-setosa: 0.107210, Iris-versicolor: 0.197753, Iris-virginica: 0.274650" reward_mode_initial = "list" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0033_083_33083379_qa_3/task.toml b/tasks/0033_083_33083379_qa_3/task.toml index 7a4574705e047bc1fbe25ee1b851e27156f5aa8d..12b3b03dd60656ccb77150469db891c48d590a32 100644 --- a/tasks/0033_083_33083379_qa_3/task.toml +++ b/tasks/0033_083_33083379_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/iris" gold_answer = "6.857770086427337e-10" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0033_420_33420599_qa_1/task.toml b/tasks/0033_420_33420599_qa_1/task.toml index de3c9e99ec3cbeb3fa8d19c934fe1907973178de..c3b640c5bfb20d3db7d440bc352ed2552563830d 100644 --- a/tasks/0033_420_33420599_qa_1/task.toml +++ b/tasks/0033_420_33420599_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gregorut/videogamesales" gold_answer = "Wii Sports, 82.74" reward_mode_initial = "list" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0033_652_33652373_qa_2/task.toml b/tasks/0033_652_33652373_qa_2/task.toml index 16b8400b527770c0d0d2297c5df3343b61965ff9..444b3b19db8b2afeaa0637afa6fd426a01ecb532 100644 --- a/tasks/0033_652_33652373_qa_2/task.toml +++ b/tasks/0033_652_33652373_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "mirichoi0218/insurance" gold_answer = "Obese" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0033_700_33700089_qa_1/task.toml b/tasks/0033_700_33700089_qa_1/task.toml index 1fb5f59bf5c9179f7d91fe8f3f645027d176c23f..d75213980526d1763fba2f2252f48f9d04660af6 100644 --- a/tasks/0033_700_33700089_qa_1/task.toml +++ b/tasks/0033_700_33700089_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/iris" gold_answer = "120" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0034_200_34200101_qa_1/task.toml b/tasks/0034_200_34200101_qa_1/task.toml index faaecc2fd6baef206210333ef5775a50a602a78b..3107c41ef17f707720ee642597c85897e7486c29 100644 --- a/tasks/0034_200_34200101_qa_1/task.toml +++ b/tasks/0034_200_34200101_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "mirichoi0218/insurance" gold_answer = "children" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0034_233_34233505_qa_4/task.toml b/tasks/0034_233_34233505_qa_4/task.toml index f5524105f62492da39649df5ac374c77a943ddbf..a6c29f4307765909ea6e366a21ccce4cb606a7e7 100644 --- a/tasks/0034_233_34233505_qa_4/task.toml +++ b/tasks/0034_233_34233505_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "snap/amazon-fine-food-reviews" gold_answer = "0.00055%" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0034_568_34568948_qa_5/task.toml b/tasks/0034_568_34568948_qa_5/task.toml index 550216eee05d81ac909c1d70a14f43316b9d5192..74d8889ef81f84bc878d86ba1e226782e5ef57e4 100644 --- a/tasks/0034_568_34568948_qa_5/task.toml +++ b/tasks/0034_568_34568948_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/autompg-dataset" gold_answer = "2970.42" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0034_651_34651965_qa_2/task.toml b/tasks/0034_651_34651965_qa_2/task.toml index 6470feb6af5f90d17b0d51dca92aed9632a8eafd..0bc4e004bbe06430222e17d4dd8113e2f62f0b44 100644 --- a/tasks/0034_651_34651965_qa_2/task.toml +++ b/tasks/0034_651_34651965_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "grubenm/austin-weather" gold_answer = "1.0" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0034_793_34793224_qa_1/task.toml b/tasks/0034_793_34793224_qa_1/task.toml index 4ba3a3a38c99090874a0d434b14ba61c76b1aab2..95ffbe87e70bc45930cbe42a7ad415b257b1a967 100644 --- a/tasks/0034_793_34793224_qa_1/task.toml +++ b/tasks/0034_793_34793224_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "blastchar/telco-customer-churn" gold_answer = "26.6" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0034_886_34886359_qa_3/task.toml b/tasks/0034_886_34886359_qa_3/task.toml index 37f91e79ce40634a80fe290c2d5ad9291daca8e5..3eaa179c429e7dbbe2f5ea1bbc366d44157c64a1 100644 --- a/tasks/0034_886_34886359_qa_3/task.toml +++ b/tasks/0034_886_34886359_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "andonians/random-linear-regression" gold_answer = "0.9888014444327563" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0034_945_34945606_qa_5/task.toml b/tasks/0034_945_34945606_qa_5/task.toml index 670f869e7826640c0a52402d9f3ab228c7fbba84..a4049069fccf4f232182cf8ab0174f0f175d95e2 100644 --- a/tasks/0034_945_34945606_qa_5/task.toml +++ b/tasks/0034_945_34945606_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "pavansubhasht/ibm-hr-analytics-attrition-dataset" gold_answer = "1" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0035_070_35070602_qa_2/task.toml b/tasks/0035_070_35070602_qa_2/task.toml index a1a75065cf63f38e4fff79d1a695b673a8cface6..a2406b83fa34086443625cc9418fd19ea1b44d01 100644 --- a/tasks/0035_070_35070602_qa_2/task.toml +++ b/tasks/0035_070_35070602_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "devashish0507/big-mart-sales-prediction" gold_answer = "0" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0035_074_35074138_qa_2/task.toml b/tasks/0035_074_35074138_qa_2/task.toml index e2d2430bd8ace7dc9efc2139aa4b7f5485fca683..2e117cf021779498e3aa98c0568fd8e9a0541865 100644 --- a/tasks/0035_074_35074138_qa_2/task.toml +++ b/tasks/0035_074_35074138_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "giripujar/hr-analytics" gold_answer = "Sales" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0035_152_35152468_qa_2/task.toml b/tasks/0035_152_35152468_qa_2/task.toml index 00ac19af149cf9e9324ee9ed6b5b24da5925cfb4..d1b5120e924614579acb51268f602ca3847f7681 100644 --- a/tasks/0035_152_35152468_qa_2/task.toml +++ b/tasks/0035_152_35152468_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "carrie1/ecommerce-data" gold_answer = "37" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0035_228_35228737_qa_5/task.toml b/tasks/0035_228_35228737_qa_5/task.toml index ce6fab436f76198814527a30e8cdea30e8be79ca..01d7eeb1ceadf91f9849ac4f0a563d45c464c415 100644 --- a/tasks/0035_228_35228737_qa_5/task.toml +++ b/tasks/0035_228_35228737_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "iabhishekofficial/mobile-price-classification" gold_answer = "chi-squared test" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0035_242_35242928_qa_2/task.toml b/tasks/0035_242_35242928_qa_2/task.toml index e7c385371a03a31e4cafcb51bfd8b0027ba977b0..0e38d83aa84d9f1c7f1be0a0e5a8fec950a4ebf0 100644 --- a/tasks/0035_242_35242928_qa_2/task.toml +++ b/tasks/0035_242_35242928_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "manasgarg/ipl" gold_answer = "CH Gayle" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0035_332_35332810_qa_3/task.toml b/tasks/0035_332_35332810_qa_3/task.toml index 15a67e637157d11f47c55cae45898699d4c1c58f..c1e82bde033265eeae938227e97666e4a4ed73f6 100644 --- a/tasks/0035_332_35332810_qa_3/task.toml +++ b/tasks/0035_332_35332810_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/breast-cancer-wisconsin-data" gold_answer = "(455, 30)" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0035_337_35337905_qa_1/task.toml b/tasks/0035_337_35337905_qa_1/task.toml index 73a40ab724bb1e78939ed4ecd10046cab5e8679f..8aa0274126d54a606f621abca91467102ccbce91 100644 --- a/tasks/0035_337_35337905_qa_1/task.toml +++ b/tasks/0035_337_35337905_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "kwullum/fatal-police-shootings-in-the-us" gold_answer = "-0.861672" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0035_456_35456170_qa_5/task.toml b/tasks/0035_456_35456170_qa_5/task.toml index f3071a5c27e2ece8d34cc4202fbd9e1bcaaf1e14..52297919736c7bcd2969d6937adf97cf69428354 100644 --- a/tasks/0035_456_35456170_qa_5/task.toml +++ b/tasks/0035_456_35456170_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/breast-cancer-wisconsin-data" gold_answer = "area_se" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0035_645_35645519_qa_3/task.toml b/tasks/0035_645_35645519_qa_3/task.toml index c13b7883a141e3793582701c720384ba367bb270..d9460339672c76c1fdd7d9f09f735064cd085baf 100644 --- a/tasks/0035_645_35645519_qa_3/task.toml +++ b/tasks/0035_645_35645519_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "datamunge/sign-language-mnist" gold_answer = "145.419377" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0036_275_36275138_qa_4/task.toml b/tasks/0036_275_36275138_qa_4/task.toml index 7fa759051925ca7cbed0340c74f67b3d92f09ce2..66780f6052a58df4dd1ca80627a2f1d9026a89af 100644 --- a/tasks/0036_275_36275138_qa_4/task.toml +++ b/tasks/0036_275_36275138_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/mushroom-classification" gold_answer = "Waste" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0036_629_36629065_qa_2/task.toml b/tasks/0036_629_36629065_qa_2/task.toml index cb05ec92fe93ab8619525653749dc231f355b5b1..efddbedef1d8197891c5bc9d3bbace17fadee72b 100644 --- a/tasks/0036_629_36629065_qa_2/task.toml +++ b/tasks/0036_629_36629065_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gregorut/videogamesales" gold_answer = "271" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0036_800_36800377_qa_4/task.toml b/tasks/0036_800_36800377_qa_4/task.toml index c4cb046cf8107ad4092ecac94c0b8736917ecfd3..03752ef1b8a6a0b898ecbd98426173656dfa54b5 100644 --- a/tasks/0036_800_36800377_qa_4/task.toml +++ b/tasks/0036_800_36800377_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "sweetyparmar1/titanic" gold_answer = "3" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0036_800_36800377_qa_5/task.toml b/tasks/0036_800_36800377_qa_5/task.toml index e8051365061d51566dc6f16563edb0d628c5bf9e..e6c12e2ed6d278af8a2683dd1a07f994ef6ddc5a 100644 --- a/tasks/0036_800_36800377_qa_5/task.toml +++ b/tasks/0036_800_36800377_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "sweetyparmar1/titanic" gold_answer = "C" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0037_513_37513711_qa_2/task.toml b/tasks/0037_513_37513711_qa_2/task.toml index 8a8683a1161dcb847a60016a4198961d802e592d..2cfdeb74ad0e448e93b3a2bba87ebd29862dcb00 100644 --- a/tasks/0037_513_37513711_qa_2/task.toml +++ b/tasks/0037_513_37513711_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "shazadudwadia/supermarket" gold_answer = "BREAD" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0037_631_37631084_qa_3/task.toml b/tasks/0037_631_37631084_qa_3/task.toml index adf969d96efef32d76dcf41e7ab538dfa62990ce..0742a63f8aef9a78e70cd78ce923bb4ec7346976 100644 --- a/tasks/0037_631_37631084_qa_3/task.toml +++ b/tasks/0037_631_37631084_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "nobelfoundation/nobel-laureates" gold_answer = "Marie Curie, Physics, 1903" reward_mode_initial = "list" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0037_918_37918087_qa_4/task.toml b/tasks/0037_918_37918087_qa_4/task.toml index 0af9e1e3ec542490a478ba3c3e4341dd1ff5254d..021f7220c6b1601a049c6c869fe501241551edb7 100644 --- a/tasks/0037_918_37918087_qa_4/task.toml +++ b/tasks/0037_918_37918087_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "iabhishekofficial/mobile-price-classification" gold_answer = "2" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0038_189_38189340_qa_1/task.toml b/tasks/0038_189_38189340_qa_1/task.toml index d5df6c18ced19dc312f16af9789d00002614a3ce..eaff411f76028c6b92872fffc2be7c0ff6381b98 100644 --- a/tasks/0038_189_38189340_qa_1/task.toml +++ b/tasks/0038_189_38189340_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "dragonheir/logistic-regression" gold_answer = "0.86" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0038_316_38316301_qa_1/task.toml b/tasks/0038_316_38316301_qa_1/task.toml index 268ae87dc975a32a765a1fb0b58a978b6e558246..f5ab31bfb3d25abe879da08f07f7747ea7cc3958 100644 --- a/tasks/0038_316_38316301_qa_1/task.toml +++ b/tasks/0038_316_38316301_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "roustekbio/breast-cancer-csv" gold_answer = "16" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0038_322_38322925_qa_1/task.toml b/tasks/0038_322_38322925_qa_1/task.toml index 26a80fdb0cf2dcfdecd91f9371b1f8689956e06c..ca00be31a17f15be449058c7c8605bd5113cb5a8 100644 --- a/tasks/0038_322_38322925_qa_1/task.toml +++ b/tasks/0038_322_38322925_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "hacker-news/hacker-news-posts" gold_answer = "ask" reward_mode_initial = "exact_short" package_tier = 0 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0038_673_38673777_qa_1/task.toml b/tasks/0038_673_38673777_qa_1/task.toml index 9b6d2de6d73c6f348f24425d0caacd477143b85f..e777b81a3730073bfe73d114e1e270501b8bd947 100644 --- a/tasks/0038_673_38673777_qa_1/task.toml +++ b/tasks/0038_673_38673777_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "kedokedokedo/vgsales" gold_answer = "231.98" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0038_910_38910811_qa_5/task.toml b/tasks/0038_910_38910811_qa_5/task.toml index 21ed12efb85d0a41e941ed9d9656030fc0bc97cc..7f6a96a7ffc3cec0a0cd951741d330a2dfe73ef8 100644 --- a/tasks/0038_910_38910811_qa_5/task.toml +++ b/tasks/0038_910_38910811_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gregorut/videogamesales" gold_answer = "1501.02" reward_mode_initial = "numeric" package_tier = 3 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0039_033_39033983_qa_3/task.toml b/tasks/0039_033_39033983_qa_3/task.toml index 25c72332bf132adcb74cf0fdfd61208caf625d5b..2bf1b448eb9eb64d0dfc50d4f2af3a1c82273eb6 100644 --- a/tasks/0039_033_39033983_qa_3/task.toml +++ b/tasks/0039_033_39033983_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "mirichoi0218/insurance" gold_answer = "70" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0039_159_39159070_qa_2/task.toml b/tasks/0039_159_39159070_qa_2/task.toml index 1a614bbd6cc6995ccb41b637359d6f0ca8853211..dba142e7219cd24a5d1c84f47f45e2477215d4c5 100644 --- a/tasks/0039_159_39159070_qa_2/task.toml +++ b/tasks/0039_159_39159070_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gregorut/videogamesales" gold_answer = "GB" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0039_221_39221041_qa_2/task.toml b/tasks/0039_221_39221041_qa_2/task.toml index c99ab1838655c79bd20c2e767988b9ae86584d57..448b4c3757c5399357712d37a007d0b429bf4f19 100644 --- a/tasks/0039_221_39221041_qa_2/task.toml +++ b/tasks/0039_221_39221041_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "ninzaami/loan-predication" gold_answer = "78.18" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0039_450_39450914_qa_3/task.toml b/tasks/0039_450_39450914_qa_3/task.toml index 52e6f3fddeb9e0c1ffe639305dc492eb5eadf658..3f95b20244ec6d05825b8d69481cf8f150dba9e5 100644 --- a/tasks/0039_450_39450914_qa_3/task.toml +++ b/tasks/0039_450_39450914_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gregorut/videogamesales" gold_answer = "PC" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0039_477_39477592_qa_5/task.toml b/tasks/0039_477_39477592_qa_5/task.toml index 0d18b4f029628c791fdefbc2705f9ae865bbf2d2..c5e3713dad70d7efd5370a67c6dd1e68113ddb0a 100644 --- a/tasks/0039_477_39477592_qa_5/task.toml +++ b/tasks/0039_477_39477592_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/breast-cancer-wisconsin-data" gold_answer = "1.0" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0039_489_39489585_qa_2/task.toml b/tasks/0039_489_39489585_qa_2/task.toml index f63a365dbd7205aff9a8163ac1ab016f0e5d8fb0..39f5299f36ec5329c20bb2538153e40229fef26b 100644 --- a/tasks/0039_489_39489585_qa_2/task.toml +++ b/tasks/0039_489_39489585_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "rounakbanik/pokemon" gold_answer = "6" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0039_655_39655291_qa_2/task.toml b/tasks/0039_655_39655291_qa_2/task.toml index 154e489e0e77573895be7f26191b87ae8b6c0068..2ff7f1faaa8bab090726564e6265344293d5d533 100644 --- a/tasks/0039_655_39655291_qa_2/task.toml +++ b/tasks/0039_655_39655291_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/red-wine-quality-cortez-et-al-2009" gold_answer = "5.636" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0039_655_39655291_qa_4/task.toml b/tasks/0039_655_39655291_qa_4/task.toml index f1180f05eea7e2dfcba2a7d60c4356dc6fa21212..2e12b1877494a89ba81842435ffb20da0b045132 100644 --- a/tasks/0039_655_39655291_qa_4/task.toml +++ b/tasks/0039_655_39655291_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/red-wine-quality-cortez-et-al-2009" gold_answer = "1599" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0039_715_39715876_qa_1/task.toml b/tasks/0039_715_39715876_qa_1/task.toml index 32efc480ee5e3db3bc865c64f98bf6163c800ff3..5185a4b9902943555ff69ccfc9bc2ce84e245d4a 100644 --- a/tasks/0039_715_39715876_qa_1/task.toml +++ b/tasks/0039_715_39715876_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/iris" gold_answer = "Iris-setosa" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0039_742_39742099_qa_4/task.toml b/tasks/0039_742_39742099_qa_4/task.toml index 98f2d3625d7cbb99cfc586050116e7c781ac4f32..a56275bdf8e01b17764fa86dcdcace962a9b345e 100644 --- a/tasks/0039_742_39742099_qa_4/task.toml +++ b/tasks/0039_742_39742099_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "mirichoi0218/insurance" gold_answer = "Southeast" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0039_742_39742099_qa_5/task.toml b/tasks/0039_742_39742099_qa_5/task.toml index 0a1f2cf3c06d03f4cd4df3ca5ff0b43b17c9ad62..6edf0ab78700e0a523cd185718c0a3eb4793c2c0 100644 --- a/tasks/0039_742_39742099_qa_5/task.toml +++ b/tasks/0039_742_39742099_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "mirichoi0218/insurance" gold_answer = "yes" reward_mode_initial = "exact_bool" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0039_769_39769016_qa_3/task.toml b/tasks/0039_769_39769016_qa_3/task.toml index 08d6933ad9bb86a6ce65dfffc72b0874983373a4..979f61c724ecf85d8f6de40d08961478060287b8 100644 --- a/tasks/0039_769_39769016_qa_3/task.toml +++ b/tasks/0039_769_39769016_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/iris" gold_answer = "5.9" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0039_810_39810401_qa_2/task.toml b/tasks/0039_810_39810401_qa_2/task.toml index 9a606e2d1bc13d13f21acfb56c936a99ece2e344..a2ada32f91689fa3bc0ce6672cb9b4f15ced6230 100644 --- a/tasks/0039_810_39810401_qa_2/task.toml +++ b/tasks/0039_810_39810401_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "kaggle/kaggle-survey-2017" gold_answer = "TensorFlow" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0039_818_39818487_qa_3/task.toml b/tasks/0039_818_39818487_qa_3/task.toml index a2a66c7d1b5b8e9c217d594ef5dc5ca5b6879edb..3f7ceb86545209b6197f8d123fbd62f80aa5b612 100644 --- a/tasks/0039_818_39818487_qa_3/task.toml +++ b/tasks/0039_818_39818487_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "CooperUnion/cardataset" gold_answer = "AUTOMATIC" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0039_850_39850014_qa_2/task.toml b/tasks/0039_850_39850014_qa_2/task.toml index ae7ea20ad2085585e14a8700052d2ef048701b18..22f0c44e1eef09ee28f673ae74511a713b7cbf06 100644 --- a/tasks/0039_850_39850014_qa_2/task.toml +++ b/tasks/0039_850_39850014_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "benhamner/nips-papers" gold_answer = "4819" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0040_340_40340401_qa_4/task.toml b/tasks/0040_340_40340401_qa_4/task.toml index 6c870cb538044a28220febe1c05184ec409e4a6a..c5d49ad3a1770253312bd4d71e2b3ccb057c2f4f 100644 --- a/tasks/0040_340_40340401_qa_4/task.toml +++ b/tasks/0040_340_40340401_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "maitree/wine-quality-selection" gold_answer = "10.2" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0040_423_40423274_qa_5/task.toml b/tasks/0040_423_40423274_qa_5/task.toml index e3220cc34e04efae3bd0f906c01101d620880b07..01077f33ed96a8f823a2ba9c744f111a10ba9818 100644 --- a/tasks/0040_423_40423274_qa_5/task.toml +++ b/tasks/0040_423_40423274_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "shebrahimi/financial-distress" gold_answer = "1102" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0040_528_40528853_qa_4/task.toml b/tasks/0040_528_40528853_qa_4/task.toml index 6d950ba5b8ad8853bb5a5366e9de278bc8148bd2..0d28d458f0f65ed4da1e6a72535531def6e55cfb 100644 --- a/tasks/0040_528_40528853_qa_4/task.toml +++ b/tasks/0040_528_40528853_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "mirichoi0218/insurance" gold_answer = "yes" reward_mode_initial = "exact_bool" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0040_576_40576526_qa_2/task.toml b/tasks/0040_576_40576526_qa_2/task.toml index 8c6db38fc2f3530e34d93d0210159832c0fd2870..e56e9afaae5a3f64e610b69e40a6858ade9e3c15 100644 --- a/tasks/0040_576_40576526_qa_2/task.toml +++ b/tasks/0040_576_40576526_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/glass" gold_answer = "Type 7" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0040_789_40789473_qa_3/task.toml b/tasks/0040_789_40789473_qa_3/task.toml index 7098b89517c250925e9b8c07f23d0ee2bdc039a6..9248878b8865e6e990f0d1c77350ff6721d2d554 100644 --- a/tasks/0040_789_40789473_qa_3/task.toml +++ b/tasks/0040_789_40789473_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "brijbhushannanda1979/bigmart-sales-data" gold_answer = "16" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0040_789_40789473_qa_5/task.toml b/tasks/0040_789_40789473_qa_5/task.toml index d6f47f94aa9909e71c42aa32b5d92c79fadd891f..e0bd693ecd96b4ad24efb9f0b9707d5a7cdf7d73 100644 --- a/tasks/0040_789_40789473_qa_5/task.toml +++ b/tasks/0040_789_40789473_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "brijbhushannanda1979/bigmart-sales-data" gold_answer = "12.857645" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0040_826_40826860_qa_1/task.toml b/tasks/0040_826_40826860_qa_1/task.toml index b4917aedb72f6c4265ad5a4f79ef93b878a3e1d9..7b8d8b75ea96f7cc9bc6790c913854016e7f963f 100644 --- a/tasks/0040_826_40826860_qa_1/task.toml +++ b/tasks/0040_826_40826860_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gregorut/videogamesales" gold_answer = "DS" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0040_843_40843458_qa_3/task.toml b/tasks/0040_843_40843458_qa_3/task.toml index 521e0f3f98faf927e1e4fe97a6fdf4697c28fbbc..3e4dd9670af7e16738483d5c7a0ad9b7449f12d9 100644 --- a/tasks/0040_843_40843458_qa_3/task.toml +++ b/tasks/0040_843_40843458_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "zynicide/wine-reviews" gold_answer = "230" reward_mode_initial = "numeric" package_tier = 3 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0040_843_40843458_qa_4/task.toml b/tasks/0040_843_40843458_qa_4/task.toml index 4dda02de6e6d1c938e544a3cd636e356290caebf..ec791e508290a87cae3a0a02b0f5a289a701df40 100644 --- a/tasks/0040_843_40843458_qa_4/task.toml +++ b/tasks/0040_843_40843458_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "zynicide/wine-reviews" gold_answer = "California" reward_mode_initial = "exact_short" package_tier = 3 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0040_929_40929685_qa_2/task.toml b/tasks/0040_929_40929685_qa_2/task.toml index c6f37fd5b7810ae70b8ec9f96b81b6cf8704cc8b..6bc6ca8450f76c80ee16ee825c79379bb3b72935 100644 --- a/tasks/0040_929_40929685_qa_2/task.toml +++ b/tasks/0040_929_40929685_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "camnugent/california-housing-prices" gold_answer = "<1H OCEAN" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0041_143_41143507_qa_1/task.toml b/tasks/0041_143_41143507_qa_1/task.toml index b70e41e95a243665f72a5db8c3411de01718b001..81018b767284217e61e6b5c41e2a7e8ca8d71dbc 100644 --- a/tasks/0041_143_41143507_qa_1/task.toml +++ b/tasks/0041_143_41143507_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/adult-census-income" gold_answer = "capital.gain" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0041_145_41145764_qa_2/task.toml b/tasks/0041_145_41145764_qa_2/task.toml index 48888541e154f19b08a4edd315abdcc39ef6864e..dcc68f1d9b0f31b5fb922de4ae103a452ab1c30a 100644 --- a/tasks/0041_145_41145764_qa_2/task.toml +++ b/tasks/0041_145_41145764_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "tmcketterick/heights-and-weights" gold_answer = "-0.885171" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0041_156_41156002_qa_2/task.toml b/tasks/0041_156_41156002_qa_2/task.toml index 83a736d7360e70708795fe279af8439ad771f4dc..c9769c452ac106e1d839c8ee245c4a20119c3705 100644 --- a/tasks/0041_156_41156002_qa_2/task.toml +++ b/tasks/0041_156_41156002_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "kabure/german-credit-data-with-risk" gold_answer = "7882.375" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0041_193_41193541_qa_5/task.toml b/tasks/0041_193_41193541_qa_5/task.toml index 7054e73b91ff2fd6edf7ebccffe071f764ba7585..2c7df368548db04023ae85723b38f7ed448688ac 100644 --- a/tasks/0041_193_41193541_qa_5/task.toml +++ b/tasks/0041_193_41193541_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/autompg-dataset" gold_answer = "5" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0041_198_41198482_qa_1/task.toml b/tasks/0041_198_41198482_qa_1/task.toml index d7efccb59c4e836c28e162ae4b54286c3001a0bd..eecbd2d39dc59c8751583a160e36101533f6000c 100644 --- a/tasks/0041_198_41198482_qa_1/task.toml +++ b/tasks/0041_198_41198482_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gilsousa/habermans-survival-data-set" gold_answer = "73.53" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0041_214_41214590_qa_4/task.toml b/tasks/0041_214_41214590_qa_4/task.toml index e96fa0c2f3d5f2a2315fa6d8371e652ce7bb8f2d..af1933543be1bcc309d5428cb243c9cc2717dd26 100644 --- a/tasks/0041_214_41214590_qa_4/task.toml +++ b/tasks/0041_214_41214590_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "CooperUnion/anime-recommendations-database" gold_answer = "3" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 5 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0041_253_41253749_qa_5/task.toml b/tasks/0041_253_41253749_qa_5/task.toml index 20696406ad0b10b01ae39761b73dc3a341ac2ca0..b70f67f4a32c5b4926e8c999ba83aaa6b473aa63 100644 --- a/tasks/0041_253_41253749_qa_5/task.toml +++ b/tasks/0041_253_41253749_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "ardamavi/sign-language-digits-dataset" gold_answer = "204" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0041_268_41268576_qa_1/task.toml b/tasks/0041_268_41268576_qa_1/task.toml index 9b5c683605fcc9ec82864496b92269d3ebb5052f..6ee29d31a5344c57d233ad7ea87d73fc65f54b8e 100644 --- a/tasks/0041_268_41268576_qa_1/task.toml +++ b/tasks/0041_268_41268576_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "danielgrijalvas/movies" gold_answer = "94.7" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0041_600_41600293_qa_3/task.toml b/tasks/0041_600_41600293_qa_3/task.toml index efd659e15bae1c2affd09e82efbfc07c5f7e71be..b95c8262c91f1d03c5ce75c10a7afecb75320ccd 100644 --- a/tasks/0041_600_41600293_qa_3/task.toml +++ b/tasks/0041_600_41600293_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "blastchar/telco-customer-churn" gold_answer = "4" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0042_170_42170738_qa_2/task.toml b/tasks/0042_170_42170738_qa_2/task.toml index c4404266605d8cee2c98e24c446f9e4cb79c22fc..127320cb3e06afea29a6b80be03d922f1c8d4f27 100644 --- a/tasks/0042_170_42170738_qa_2/task.toml +++ b/tasks/0042_170_42170738_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/mushroom-classification" gold_answer = "100" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0042_383_42383310_qa_2/task.toml b/tasks/0042_383_42383310_qa_2/task.toml index 8fd76ff22032b142cb3430fc4fa91f0f92590d3d..85c39c739b81dc9494e8755207172a3db5fd5f6b 100644 --- a/tasks/0042_383_42383310_qa_2/task.toml +++ b/tasks/0042_383_42383310_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "antfarol/car-sale-advertisements" gold_answer = "float64" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0042_569_42569940_qa_1/task.toml b/tasks/0042_569_42569940_qa_1/task.toml index 85fc86869b6667b7837233245b446ea914f5d017..412e3456d0fbe9d84939a39265977d15766becc4 100644 --- a/tasks/0042_569_42569940_qa_1/task.toml +++ b/tasks/0042_569_42569940_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "zaurbegiev/my-dataset" gold_answer = "53.14" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0042_903_42903883_qa_1/task.toml b/tasks/0042_903_42903883_qa_1/task.toml index 08c1733369c24092eaccdac2aca07fec72dfc902..829b37d30bc4ca4b877904d4c11d6e4c635c3ddd 100644 --- a/tasks/0042_903_42903883_qa_1/task.toml +++ b/tasks/0042_903_42903883_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "becksddf/churn-in-telecoms-dataset" gold_answer = "85.5086" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0043_124_43124508_qa_1/task.toml b/tasks/0043_124_43124508_qa_1/task.toml index 690995fa8f7276b5493091cecd17f0e378b0858c..aea907e480b210e005c39c3132c703a05bf7a68b 100644 --- a/tasks/0043_124_43124508_qa_1/task.toml +++ b/tasks/0043_124_43124508_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/mushroom-classification" gold_answer = "gill-color" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0043_305_43305320_qa_2/task.toml b/tasks/0043_305_43305320_qa_2/task.toml index 7c5afa182c0100ebbc0f2294629d446548e0ffd6..81b1ce2f8455a1a694c8156300fc8ee77e399c15 100644 --- a/tasks/0043_305_43305320_qa_2/task.toml +++ b/tasks/0043_305_43305320_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "hacker-news/hacker-news-posts" gold_answer = "28.68" reward_mode_initial = "numeric" package_tier = 0 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0043_305_43305320_qa_4/task.toml b/tasks/0043_305_43305320_qa_4/task.toml index e36e40094a2af644b28e36cb91545f780e1bf956..8c0735e2b2ba073b88501bdb2238ecb2c59d5a0e 100644 --- a/tasks/0043_305_43305320_qa_4/task.toml +++ b/tasks/0043_305_43305320_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "hacker-news/hacker-news-posts" gold_answer = "14.84" reward_mode_initial = "numeric" package_tier = 0 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0043_313_43313326_qa_5/task.toml b/tasks/0043_313_43313326_qa_5/task.toml index 9527278d69d95c0174bdecf0cdd0937cb9d6629e..2b2143def424d933133f6dd62785163987a3fe82 100644 --- a/tasks/0043_313_43313326_qa_5/task.toml +++ b/tasks/0043_313_43313326_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/pima-indians-diabetes-database" gold_answer = "Glucose" reward_mode_initial = "exact_short" package_tier = 2 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0043_348_43348851_qa_1/task.toml b/tasks/0043_348_43348851_qa_1/task.toml index e6c5cee694ac8dc0baf6cf402f69caff8a4a64f4..c7a99125c2ecad609c078d82294a9895a7fcbb31 100644 --- a/tasks/0043_348_43348851_qa_1/task.toml +++ b/tasks/0043_348_43348851_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "apollo2506/flowers-recognition-dataset" gold_answer = "4" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0043_694_43694920_qa_5/task.toml b/tasks/0043_694_43694920_qa_5/task.toml index 569e4f80e55b15c103437b850e44eca23d220563..fe65f8248a40f114c938931f7039692c5206d2e5 100644 --- a/tasks/0043_694_43694920_qa_5/task.toml +++ b/tasks/0043_694_43694920_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "vedavyasv/usa-housing" gold_answer = "-2631028.901746378" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0043_783_43783786_qa_3/task.toml b/tasks/0043_783_43783786_qa_3/task.toml index f4c7d298563c094f64e9455c0935a70e13612e94..064e0eb9cdc53906f6b4d5eaa3efb198c0e777f6 100644 --- a/tasks/0043_783_43783786_qa_3/task.toml +++ b/tasks/0043_783_43783786_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "tedllh/titanic-train" gold_answer = "177" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0044_001_44001840_qa_1/task.toml b/tasks/0044_001_44001840_qa_1/task.toml index f7930433e4568eb80c586c7cb0e7ca46e53e273c..73619394328ede6f7adf5db5a05675db7af2843c 100644 --- a/tasks/0044_001_44001840_qa_1/task.toml +++ b/tasks/0044_001_44001840_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/biomechanical-features-of-orthopedic-patients" gold_answer = "67.7% abnormal, 32.3% normal" reward_mode_initial = "list" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0044_141_44141679_qa_3/task.toml b/tasks/0044_141_44141679_qa_3/task.toml index f99e7fb82f42e2f0b7ad59fe0fbc5591eae76def..4ba69cc815b161961e2090b1fa4b9d9b8e44eb9d 100644 --- a/tasks/0044_141_44141679_qa_3/task.toml +++ b/tasks/0044_141_44141679_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/pima-indians-diabetes-database" gold_answer = "107" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0045_056_45056822_qa_5/task.toml b/tasks/0045_056_45056822_qa_5/task.toml index 1566ea6bd103015d076dfc72a7cc0ed976e61d8a..8284de5e35fb2273ca7700292a88128d377ccbaf 100644 --- a/tasks/0045_056_45056822_qa_5/task.toml +++ b/tasks/0045_056_45056822_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "datasnaek/chess" gold_answer = "1634.18, 1549.25" reward_mode_initial = "list" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0045_065_45065521_qa_2/task.toml b/tasks/0045_065_45065521_qa_2/task.toml index e2e11c9a79195e1c29bc44f09233ac2ab7eea65f..ed60f5d32fd1e05d9d5d6491bc52e2f82f120283 100644 --- a/tasks/0045_065_45065521_qa_2/task.toml +++ b/tasks/0045_065_45065521_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "terminus7/pokemon-challenge" gold_answer = "Sp. Atk" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0045_067_45067031_qa_3/task.toml b/tasks/0045_067_45067031_qa_3/task.toml index 5998f230874c79172ccbee6c592f2a8788ff1d6a..b849fa4ed4b8bb4402181a8e9f6ea33b2d584e47 100644 --- a/tasks/0045_067_45067031_qa_3/task.toml +++ b/tasks/0045_067_45067031_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "camnugent/california-housing-prices" gold_answer = "100" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0045_100_45100270_qa_4/task.toml b/tasks/0045_100_45100270_qa_4/task.toml index 78d4a75436132d34b4480edb80bda3adc5796bca..6c715c5e536723fc1658b4201e347c68e9469b27 100644 --- a/tasks/0045_100_45100270_qa_4/task.toml +++ b/tasks/0045_100_45100270_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/red-wine-quality-cortez-et-al-2009" gold_answer = "0.06875" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0045_136_45136728_qa_1/task.toml b/tasks/0045_136_45136728_qa_1/task.toml index c3d39fcc3e308243b8e86396719797edacec8872..b923005685306d2401511361666a15caea647adf 100644 --- a/tasks/0045_136_45136728_qa_1/task.toml +++ b/tasks/0045_136_45136728_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "pavansubhasht/ibm-hr-analytics-attrition-dataset" gold_answer = "16.1" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0045_378_45378696_qa_1/task.toml b/tasks/0045_378_45378696_qa_1/task.toml index 5eb8fe8995e892dde002d1aba62afd7209a31258..a2a63ae6e7b1a8dbf35cf24d4af6062a55057d8d 100644 --- a/tasks/0045_378_45378696_qa_1/task.toml +++ b/tasks/0045_378_45378696_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "abcsds/pokemon" gold_answer = "MewtwoMega Mewtwo X, MewtwoMega Mewtwo Y, RayquazaMega Rayquaza; 780" reward_mode_initial = "list" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0045_754_45754674_qa_5/task.toml b/tasks/0045_754_45754674_qa_5/task.toml index a9adc842edb2d83f9718110829c049cda7be46c5..998836faf464628de01d78e071df1340966eabc0 100644 --- a/tasks/0045_754_45754674_qa_5/task.toml +++ b/tasks/0045_754_45754674_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/pima-indians-diabetes-database" gold_answer = "Insulin" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0046_263_46263849_qa_1/task.toml b/tasks/0046_263_46263849_qa_1/task.toml index e294e679449f581c80e7779588d07f7a81919753..74d1162efcb91eab7369dec7d20bc782109bca3f 100644 --- a/tasks/0046_263_46263849_qa_1/task.toml +++ b/tasks/0046_263_46263849_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/iris" gold_answer = "1" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0046_517_46517574_qa_1/task.toml b/tasks/0046_517_46517574_qa_1/task.toml index 07570bbc582a5449fa2399dccc34475568cbbe00..ca451dcccc774a02c0cb2d3045890fbdf5e5ef7d 100644 --- a/tasks/0046_517_46517574_qa_1/task.toml +++ b/tasks/0046_517_46517574_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/mushroom-classification" gold_answer = "gill-color" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0046_658_46658315_qa_5/task.toml b/tasks/0046_658_46658315_qa_5/task.toml index 2ad096eedbc38a2f252be87ae7963a82c24f9cb3..959a5e908a05ae98ac1eeefff3345b3e1ce84f5a 100644 --- a/tasks/0046_658_46658315_qa_5/task.toml +++ b/tasks/0046_658_46658315_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gregorut/videogamesales" gold_answer = "Sony Playstation" reward_mode_initial = "exact_short" package_tier = 0 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0046_660_46660345_qa_2/task.toml b/tasks/0046_660_46660345_qa_2/task.toml index 807521cdd0341531dc15aecf584d743dab8855e7..32687cbe8ac4aa148471f8639fd2e4e17a76be07 100644 --- a/tasks/0046_660_46660345_qa_2/task.toml +++ b/tasks/0046_660_46660345_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/mushroom-classification" gold_answer = "0.999648" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0046_905_46905660_qa_1/task.toml b/tasks/0046_905_46905660_qa_1/task.toml index 2a2d94f7ab7954a658216cc8e2cee0a1f4488636..767a66b09613af068ac8b9d594bf643e3f6f97ae 100644 --- a/tasks/0046_905_46905660_qa_1/task.toml +++ b/tasks/0046_905_46905660_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/red-wine-quality-cortez-et-al-2009" gold_answer = "alcohol" reward_mode_initial = "exact_short" package_tier = 0 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0046_933_46933248_qa_5/task.toml b/tasks/0046_933_46933248_qa_5/task.toml index 3d0b323276578c0a70c8902cd99d4cb30303b36b..e078c7d2bad1f92c7a4863b91699215456b46ae0 100644 --- a/tasks/0046_933_46933248_qa_5/task.toml +++ b/tasks/0046_933_46933248_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "camnugent/california-housing-prices" gold_answer = "0.687" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0047_560_47560034_qa_4/task.toml b/tasks/0047_560_47560034_qa_4/task.toml index 37a67cd2f31d23daba73832adec16c202e29f906..32e81630940a7c38588067b49d84387d5e83997e 100644 --- a/tasks/0047_560_47560034_qa_4/task.toml +++ b/tasks/0047_560_47560034_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "PromptCloudHQ/imdb-data" gold_answer = "Horror" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0047_560_47560034_qa_5/task.toml b/tasks/0047_560_47560034_qa_5/task.toml index 7e091dc66617357882995b4b686eda511e84661d..d5c3e31bb77ed2eeb29b2c536cca6b66ecc1b3f2 100644 --- a/tasks/0047_560_47560034_qa_5/task.toml +++ b/tasks/0047_560_47560034_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "PromptCloudHQ/imdb-data" gold_answer = "Drama" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0047_766_47766276_qa_2/task.toml b/tasks/0047_766_47766276_qa_2/task.toml index 9c8020fb42a5b2b0d0fd87e551b974f329df77de..7d51fc994eea9e4f55a14d9768339ba9428c1fb3 100644 --- a/tasks/0047_766_47766276_qa_2/task.toml +++ b/tasks/0047_766_47766276_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "nsrose7224/crowdedness-at-the-campus-gym" gold_answer = "102" reward_mode_initial = "numeric" package_tier = 3 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0047_862_47862196_qa_2/task.toml b/tasks/0047_862_47862196_qa_2/task.toml index 8e533a147514b38bcd6d158520b612ad5a090418..172de30a5c6f8562a6799526451d593274085559 100644 --- a/tasks/0047_862_47862196_qa_2/task.toml +++ b/tasks/0047_862_47862196_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/breast-cancer-wisconsin-data" gold_answer = "37.26" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0047_862_47862196_qa_3/task.toml b/tasks/0047_862_47862196_qa_3/task.toml index 91577e29f6a8322c8a5886de80df43acf3aa64cc..7ccb99bc937845b4b1707abf5d5561a636447e03 100644 --- a/tasks/0047_862_47862196_qa_3/task.toml +++ b/tasks/0047_862_47862196_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/breast-cancer-wisconsin-data" gold_answer = "100" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0048_651_48651619_qa_4/task.toml b/tasks/0048_651_48651619_qa_4/task.toml index 3dd6d9399521388e9ed0758e806df941ae25f469..71cb504653695f1704bd7d5999e5df6c95aa971d 100644 --- a/tasks/0048_651_48651619_qa_4/task.toml +++ b/tasks/0048_651_48651619_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gilsousa/habermans-survival-data-set" gold_answer = "52" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0048_917_48917297_qa_2/task.toml b/tasks/0048_917_48917297_qa_2/task.toml index c1e7fe87d3cc85891bd661798fca7892aed4be84..792dd687082fd471221e366e0d1c81e9946529d0 100644 --- a/tasks/0048_917_48917297_qa_2/task.toml +++ b/tasks/0048_917_48917297_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/zoo-animal-classification" gold_answer = "7" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0049_165_49165096_qa_1/task.toml b/tasks/0049_165_49165096_qa_1/task.toml index 96824ae83a4a9b5fd40f300b82433194752ad82f..e53d790be15dc5b8a9cdc148ecd375f8be6b035e 100644 --- a/tasks/0049_165_49165096_qa_1/task.toml +++ b/tasks/0049_165_49165096_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "hacker-news/hacker-news-posts" gold_answer = "15" reward_mode_initial = "numeric" package_tier = 3 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0049_548_49548242_qa_2/task.toml b/tasks/0049_548_49548242_qa_2/task.toml index 87cd69001a2b0305d24f4f954098c1e75a47aa2e..5b6b3a471e74e2b2e8c0cd82e5738d74d7779d09 100644 --- a/tasks/0049_548_49548242_qa_2/task.toml +++ b/tasks/0049_548_49548242_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "shwetabh123/mall-customers" gold_answer = "Cluster 4, 82.13" reward_mode_initial = "list" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0049_938_49938525_qa_2/task.toml b/tasks/0049_938_49938525_qa_2/task.toml index e962dd7f59360fb335c04a0dc9d7fc8ad5415cee..c76529c985e2cfcc531271d2afc38b876a9a2bb7 100644 --- a/tasks/0049_938_49938525_qa_2/task.toml +++ b/tasks/0049_938_49938525_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "harlfoxem/housesalesprediction" gold_answer = "3.37" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0050_018_50018991_qa_4/task.toml b/tasks/0050_018_50018991_qa_4/task.toml index 9f1bd5911fb412e9a65c8732d5c8946f63a33824..c4d8c9a865936229468a72b49ab6ccef9978d4f2 100644 --- a/tasks/0050_018_50018991_qa_4/task.toml +++ b/tasks/0050_018_50018991_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "hugomathien/soccer" gold_answer = "0.831" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0050_334_50334572_qa_4/task.toml b/tasks/0050_334_50334572_qa_4/task.toml index 8686a3ac953e8606357b65b3102e495b52c438a7..2dbfce91cee0cee5898ddd3fff660235b30abf73 100644 --- a/tasks/0050_334_50334572_qa_4/task.toml +++ b/tasks/0050_334_50334572_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "kabure/german-credit-data-with-risk" gold_answer = "394" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0050_467_50467216_qa_3/task.toml b/tasks/0050_467_50467216_qa_3/task.toml index c9474964a22ac30db36437b11bb169cb3350cef8..055be92a14ffe923b93f11e21eaf42b7be261820 100644 --- a/tasks/0050_467_50467216_qa_3/task.toml +++ b/tasks/0050_467_50467216_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "vasopikof/clustering-benchmark-datasets" gold_answer = "0.794982256654018" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0050_587_50587128_qa_4/task.toml b/tasks/0050_587_50587128_qa_4/task.toml index dd2cfe0c4cd6ccd566daceb77f18653bb2803838..3db4c1d8c14ee1fdc25e2679a8d7a98ad9860da6 100644 --- a/tasks/0050_587_50587128_qa_4/task.toml +++ b/tasks/0050_587_50587128_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "crawford/80-cereals" gold_answer = "3" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0050_775_50775571_qa_1/task.toml b/tasks/0050_775_50775571_qa_1/task.toml index d8fc4e1454395073307fc50785dc4e4293b1ac4d..95f115adc29bcf4f717c9e4049b82f2c6c2cd2d8 100644 --- a/tasks/0050_775_50775571_qa_1/task.toml +++ b/tasks/0050_775_50775571_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "lespin/house-prices-dataset" gold_answer = "OverallQual" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0051_063_51063179_qa_2/task.toml b/tasks/0051_063_51063179_qa_2/task.toml index f5a41b56af71f481793b0f0834346f1ebc7d311e..a35fa9c77e6b481f0be42f77489f446596285b87 100644 --- a/tasks/0051_063_51063179_qa_2/task.toml +++ b/tasks/0051_063_51063179_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/iris" gold_answer = "Iris-setosa" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0051_530_51530318_qa_2/task.toml b/tasks/0051_530_51530318_qa_2/task.toml index 7d9ae6352a6fb2f1275cbf76d9131973e108a1e4..79d0f1d6c676b85fd252e42e8a21ad5f3ea95696 100644 --- a/tasks/0051_530_51530318_qa_2/task.toml +++ b/tasks/0051_530_51530318_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/sms-spam-collection-dataset" gold_answer = "ham=4516, spam=653" reward_mode_initial = "list" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0051_880_51880201_qa_3/task.toml b/tasks/0051_880_51880201_qa_3/task.toml index 7df95b3bbc702f2a3ad2aef84022fa1f95ea77c4..93e8b3658e537094b5595b325ac8448c603ac94c 100644 --- a/tasks/0051_880_51880201_qa_3/task.toml +++ b/tasks/0051_880_51880201_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "PromptCloudHQ/flipkart-products" gold_answer = "Western Wear" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0051_967_51967182_qa_2/task.toml b/tasks/0051_967_51967182_qa_2/task.toml index 7f7321e00adcd4fbb3874161812d42de228472a9..1386b3469aa3fdeef6211054e11871bc504ac97a 100644 --- a/tasks/0051_967_51967182_qa_2/task.toml +++ b/tasks/0051_967_51967182_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "mirichoi0218/insurance" gold_answer = "southeast" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0051_967_51967182_qa_4/task.toml b/tasks/0051_967_51967182_qa_4/task.toml index 25afa0e6d4a5418d8c34de630f9d4bd00f00b4f5..558b3c61071a215dbd5a77761077cc4780868bcf 100644 --- a/tasks/0051_967_51967182_qa_4/task.toml +++ b/tasks/0051_967_51967182_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "mirichoi0218/insurance" gold_answer = "1.09" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0052_586_52586560_qa_3/task.toml b/tasks/0052_586_52586560_qa_3/task.toml index 018bb15d6cfb32e6169acb3213d76538714770c4..4cbca877379eb3bdd5e21ebfe6ccd4e75b44a473 100644 --- a/tasks/0052_586_52586560_qa_3/task.toml +++ b/tasks/0052_586_52586560_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "brijbhushannanda1979/bigmart-sales-data" gold_answer = "Medium" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0052_907_52907926_qa_4/task.toml b/tasks/0052_907_52907926_qa_4/task.toml index 9ee1f41c9e08f5a153e36291a315ce8041b20da9..e126db721b57ec6b759b69b0feb5f99c66f42bed 100644 --- a/tasks/0052_907_52907926_qa_4/task.toml +++ b/tasks/0052_907_52907926_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/iris" gold_answer = "4" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0053_008_53008449_qa_4/task.toml b/tasks/0053_008_53008449_qa_4/task.toml index 00193a37e935316edf3ad06fae6222191b5d8079..956b6998b4820524016ded1fdaedbc94b229577e 100644 --- a/tasks/0053_008_53008449_qa_4/task.toml +++ b/tasks/0053_008_53008449_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/mushroom-classification" gold_answer = "100.0" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0053_271_53271024_qa_3/task.toml b/tasks/0053_271_53271024_qa_3/task.toml index f15534fb5420b75c7f80f2d67d81df87f70a58cc..59137811316edda2c2defdd952532a0f19d40083 100644 --- a/tasks/0053_271_53271024_qa_3/task.toml +++ b/tasks/0053_271_53271024_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "budincsevity/szeged-weather" gold_answer = "-21.822222" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0053_354_53354710_qa_5/task.toml b/tasks/0053_354_53354710_qa_5/task.toml index b1925b3eefcce366a9905e6fd908a5991477ac52..5b4f7f9478d3b858f2d2b954a3a2756c11f58220 100644 --- a/tasks/0053_354_53354710_qa_5/task.toml +++ b/tasks/0053_354_53354710_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "tmcketterick/heights-and-weights" gold_answer = "100" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0053_768_53768671_qa_2/task.toml b/tasks/0053_768_53768671_qa_2/task.toml index 694ed09827c4bafe1ba3a4213c7b908fb75aeb4f..0e5f6d9884f942371b8a58c4f40a09f984c2b026 100644 --- a/tasks/0053_768_53768671_qa_2/task.toml +++ b/tasks/0053_768_53768671_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/pima-indians-diabetes-database" gold_answer = "34.9" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0053_823_53823082_qa_2/task.toml b/tasks/0053_823_53823082_qa_2/task.toml index 8cb9f9a2e74a0bbde38458ff4e395cbc27a4b9c2..146ffdeb0d0641a48dba3cc48f74c9c17ee3ce14 100644 --- a/tasks/0053_823_53823082_qa_2/task.toml +++ b/tasks/0053_823_53823082_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "rounakbanik/the-movies-dataset" gold_answer = "Drama" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0054_298_54298783_qa_3/task.toml b/tasks/0054_298_54298783_qa_3/task.toml index 1709e109a2bd5bd10e9dccf9ce89460322b9d464..55ca7083c5588512a7bbf1a93393de89e10f3467 100644 --- a/tasks/0054_298_54298783_qa_3/task.toml +++ b/tasks/0054_298_54298783_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/iris" gold_answer = "20" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0054_375_54375499_qa_5/task.toml b/tasks/0054_375_54375499_qa_5/task.toml index 70e712e0c8e68f854556e5010c1e3117726a2314..120908ce60ba0c8a8da557df9c48acbc189f3f07 100644 --- a/tasks/0054_375_54375499_qa_5/task.toml +++ b/tasks/0054_375_54375499_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/iris" gold_answer = "2.0" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0054_670_54670437_qa_4/task.toml b/tasks/0054_670_54670437_qa_4/task.toml index c6fea14d07009f45752cfdbdc7f78896d11a54cb..fb71ec91c9842ceea2375614c01c913f5feafd16 100644 --- a/tasks/0054_670_54670437_qa_4/task.toml +++ b/tasks/0054_670_54670437_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "blastchar/telco-customer-churn" gold_answer = "21.47" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0055_027_55027246_qa_2/task.toml b/tasks/0055_027_55027246_qa_2/task.toml index 75c1459b9de2a4ce3f753d3ba1d5da1a6051499c..9298505b45ff44f9120f0baa28353f8d301a674a 100644 --- a/tasks/0055_027_55027246_qa_2/task.toml +++ b/tasks/0055_027_55027246_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "rohankayan/years-of-experience-and-salary-dataset" gold_answer = "no" reward_mode_initial = "exact_bool" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0055_027_55027246_qa_4/task.toml b/tasks/0055_027_55027246_qa_4/task.toml index 23450c229f1c2d15c0f80c909bcc68edc2d3a47c..dda4387c54101cc44e3fb68eb4198236db6bf283 100644 --- a/tasks/0055_027_55027246_qa_4/task.toml +++ b/tasks/0055_027_55027246_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "rohankayan/years-of-experience-and-salary-dataset" gold_answer = "30" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0055_033_55033540_qa_1/task.toml b/tasks/0055_033_55033540_qa_1/task.toml index 277688ad03f72260bf97319a7c082f44264bd9a0..5398094944a9063d049c96af2529b119a090d11f 100644 --- a/tasks/0055_033_55033540_qa_1/task.toml +++ b/tasks/0055_033_55033540_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "shivam2503/diamonds" gold_answer = "1.618" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0055_099_55099558_qa_5/task.toml b/tasks/0055_099_55099558_qa_5/task.toml index ce76dc151d4f72ee51509ef04bf4ee5064cb508b..6689ae2ffd8f6b32b0e7b6605764e0c16376a87a 100644 --- a/tasks/0055_099_55099558_qa_5/task.toml +++ b/tasks/0055_099_55099558_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/sms-spam-collection-dataset" gold_answer = "13.4" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0055_310_55310713_qa_4/task.toml b/tasks/0055_310_55310713_qa_4/task.toml index aafa56d2207c1503ad380dc27341611b47e1a228..b4ba6a34cf3cec0bc71d26cbaaa7ad85fdca4530 100644 --- a/tasks/0055_310_55310713_qa_4/task.toml +++ b/tasks/0055_310_55310713_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gregorut/videogamesales" gold_answer = "Electronic Arts" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0055_834_55834525_qa_1/task.toml b/tasks/0055_834_55834525_qa_1/task.toml index 23a6cc73dacc9aa68a5a62024bc0224476c72a44..5da98a1aa194ce2a21c6136043c1a5d262f5a803 100644 --- a/tasks/0055_834_55834525_qa_1/task.toml +++ b/tasks/0055_834_55834525_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "zhijinzhai/loandata" gold_answer = "60" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0056_160_56160021_qa_5/task.toml b/tasks/0056_160_56160021_qa_5/task.toml index d1d23cdcbb4136904508a539de8c89956f664439..564a57aad4e6cb99909affb0a20740a481235c45 100644 --- a/tasks/0056_160_56160021_qa_5/task.toml +++ b/tasks/0056_160_56160021_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/iris" gold_answer = "150" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0056_269_56269828_qa_2/task.toml b/tasks/0056_269_56269828_qa_2/task.toml index 6821fcd360cf5f2317434fe93e39097c5113453d..92ddf43b5fd28a2c7957f17a05bf8459d79b2705 100644 --- a/tasks/0056_269_56269828_qa_2/task.toml +++ b/tasks/0056_269_56269828_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "kumarajarshi/life-expectancy-who" gold_answer = "0.5972237000216292" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0056_269_56269828_qa_3/task.toml b/tasks/0056_269_56269828_qa_3/task.toml index 01c07c7f2e11d4ccf16b6d0751d751e6f5a3c6e4..36c27c57288ce80d4cb314d14abe97c18eaa93ce 100644 --- a/tasks/0056_269_56269828_qa_3/task.toml +++ b/tasks/0056_269_56269828_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "kumarajarshi/life-expectancy-who" gold_answer = "Income composition of resources" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0057_588_57588445_qa_2/task.toml b/tasks/0057_588_57588445_qa_2/task.toml index bdd43b18ccf006676ecfdde0fd082a06a8f2e0e2..1236a0d4a07b43cc552ab07be1c43f80859154e5 100644 --- a/tasks/0057_588_57588445_qa_2/task.toml +++ b/tasks/0057_588_57588445_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/breast-cancer-wisconsin-data" gold_answer = "Unnamed: 32" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0057_632_57632820_qa_1/task.toml b/tasks/0057_632_57632820_qa_1/task.toml index c83c6dfff8c5db4480b764a3da82fefa64438032..40d800132612626aab99f572e645b6dd57ea9382 100644 --- a/tasks/0057_632_57632820_qa_1/task.toml +++ b/tasks/0057_632_57632820_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/red-wine-quality-cortez-et-al-2009" gold_answer = "5" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0057_640_57640669_qa_4/task.toml b/tasks/0057_640_57640669_qa_4/task.toml index 3354746469fe9892322b0356bf1431258af38282..9816b7628b809d6a599e1bab30cf8f6bf5767f0c 100644 --- a/tasks/0057_640_57640669_qa_4/task.toml +++ b/tasks/0057_640_57640669_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "team-ai/spam-text-message-classification" gold_answer = "9004" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0057_750_57750345_qa_5/task.toml b/tasks/0057_750_57750345_qa_5/task.toml index 84c0ef37a06f96ccfece22882ea156261f2ebaa8..afe873bac50692526e03eca9c4c4e74441adae5d 100644 --- a/tasks/0057_750_57750345_qa_5/task.toml +++ b/tasks/0057_750_57750345_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "CooperUnion/cardataset" gold_answer = "Model" reward_mode_initial = "exact_short" package_tier = 2 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0057_851_57851395_qa_2/task.toml b/tasks/0057_851_57851395_qa_2/task.toml index 4e6ad9b804b6ccf19545342e0fcb309ae94cf293..bc784e3f855365d7eeac6253e9a49a823669c65d 100644 --- a/tasks/0057_851_57851395_qa_2/task.toml +++ b/tasks/0057_851_57851395_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "elikplim/eergy-efficiency-dataset" gold_answer = "110.25" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0057_935_57935595_qa_2/task.toml b/tasks/0057_935_57935595_qa_2/task.toml index 80349c15083aa043e7c98dba3851caffeedaf9c1..fe923e96eb4ed9fbf4444c44feee548fe888030f 100644 --- a/tasks/0057_935_57935595_qa_2/task.toml +++ b/tasks/0057_935_57935595_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/mushroom-classification" gold_answer = "yes" reward_mode_initial = "exact_bool" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0058_169_58169113_qa_2/task.toml b/tasks/0058_169_58169113_qa_2/task.toml index 81305980bb2fe366d83baf631550c45d0a307072..6b748a4a0241fceb9c57c82f2de79954d0fd1e79 100644 --- a/tasks/0058_169_58169113_qa_2/task.toml +++ b/tasks/0058_169_58169113_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/breast-cancer-wisconsin-data" gold_answer = "357 benign, 212 malignant" reward_mode_initial = "list" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0058_275_58275852_qa_3/task.toml b/tasks/0058_275_58275852_qa_3/task.toml index fc069856774893514648c22253873148f6553304..8b36f33b501fd2c8928dba10b6bd631bd6b3fb94 100644 --- a/tasks/0058_275_58275852_qa_3/task.toml +++ b/tasks/0058_275_58275852_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "brijbhushannanda1979/bigmart-sales-data" gold_answer = "-0.887753" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0058_565_58565902_qa_1/task.toml b/tasks/0058_565_58565902_qa_1/task.toml index 0be806eaa32a113e5b1f688278769b31b623392e..a0c1419937d2bfe5414f48d190514b116743ba55 100644 --- a/tasks/0058_565_58565902_qa_1/task.toml +++ b/tasks/0058_565_58565902_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/breast-cancer-wisconsin-data" gold_answer = "concave points_worst" reward_mode_initial = "exact_short" package_tier = 2 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0058_792_58792477_qa_5/task.toml b/tasks/0058_792_58792477_qa_5/task.toml index 8d4de298508b8707848e5c14c51dfafa146cda4a..def0efe70f66965393f10fe88f80bae421e9e244 100644 --- a/tasks/0058_792_58792477_qa_5/task.toml +++ b/tasks/0058_792_58792477_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "harlfoxem/housesalesprediction" gold_answer = "grade" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0058_806_58806875_qa_4/task.toml b/tasks/0058_806_58806875_qa_4/task.toml index 7a59df0cfc5836c543e262af0b352619dc6a9a59..7926b312d13756114307e044126e17824c5edaff 100644 --- a/tasks/0058_806_58806875_qa_4/task.toml +++ b/tasks/0058_806_58806875_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/breast-cancer-wisconsin-data" gold_answer = "Unnamed: 32, 569" reward_mode_initial = "list" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0059_425_59425314_qa_2/task.toml b/tasks/0059_425_59425314_qa_2/task.toml index 0bf8c2f5330e1d312d71a3e5d026fab7441612a3..8e6655098d0140548d636efe66ac73e2bb19e1f7 100644 --- a/tasks/0059_425_59425314_qa_2/task.toml +++ b/tasks/0059_425_59425314_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "wosaku/crime-in-vancouver" gold_answer = "2003" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0059_864_59864963_qa_3/task.toml b/tasks/0059_864_59864963_qa_3/task.toml index 230407ff48112ecc2bba80c66a8f88245a641489..fc9eb23aa47e43e060ed58cd51a319f0f8754f6b 100644 --- a/tasks/0059_864_59864963_qa_3/task.toml +++ b/tasks/0059_864_59864963_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/biomechanical-features-of-orthopedic-patients" gold_answer = "5" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0060_085_60085489_qa_4/task.toml b/tasks/0060_085_60085489_qa_4/task.toml index cf45f2177cf95ff494e00e1ddab70b0cbce5b5c5..f752ef49e6f945838a91c6d48b62ed4b86086589 100644 --- a/tasks/0060_085_60085489_qa_4/task.toml +++ b/tasks/0060_085_60085489_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/mushroom-classification" gold_answer = "88" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 5 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0060_211_60211356_qa_1/task.toml b/tasks/0060_211_60211356_qa_1/task.toml index 652e216fef215c983856aad3ca650d8c8ea9b60a..e6f0156d6ce3b62a7fbfa04e4ec7c76cda130ab4 100644 --- a/tasks/0060_211_60211356_qa_1/task.toml +++ b/tasks/0060_211_60211356_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/breast-cancer-wisconsin-data" gold_answer = "(569, 31)" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0060_239_60239619_qa_4/task.toml b/tasks/0060_239_60239619_qa_4/task.toml index 7497f597e85ace4cab783cce452db215791870b4..ece9b446d1c5ff3696d9741f55d53031610daf49 100644 --- a/tasks/0060_239_60239619_qa_4/task.toml +++ b/tasks/0060_239_60239619_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/iris" gold_answer = "50" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0060_331_60331255_qa_2/task.toml b/tasks/0060_331_60331255_qa_2/task.toml index d73f0ca9d4b82495167665f88553e1f0a2f7b43a..ee3acd2bc98095057fd3cc48501fb755ff6fc2f9 100644 --- a/tasks/0060_331_60331255_qa_2/task.toml +++ b/tasks/0060_331_60331255_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/iris" gold_answer = "PetalLengthCm, PetalWidthCm" reward_mode_initial = "list" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0060_435_60435924_qa_2/task.toml b/tasks/0060_435_60435924_qa_2/task.toml index a630aa3815757ebd4dd6eaa43ad5ffc71b7854f2..b91b4e25f519e4e422e4e53244bedc9e37d035ad 100644 --- a/tasks/0060_435_60435924_qa_2/task.toml +++ b/tasks/0060_435_60435924_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "elikplim/concrete-compressive-strength-data-set" gold_answer = "32.20" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0060_435_60435924_qa_3/task.toml b/tasks/0060_435_60435924_qa_3/task.toml index 845a131074b3e1689fd37a6f50b116fadc9b1d68..235c629f3552a17193d0b14d71969767b908ee67 100644 --- a/tasks/0060_435_60435924_qa_3/task.toml +++ b/tasks/0060_435_60435924_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "elikplim/concrete-compressive-strength-data-set" gold_answer = "28" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0060_533_60533129_qa_5/task.toml b/tasks/0060_533_60533129_qa_5/task.toml index 784748c3522537011562931b55fa1fdefc1f8206..1a807614479f517b15d71004a7a50449394172eb 100644 --- a/tasks/0060_533_60533129_qa_5/task.toml +++ b/tasks/0060_533_60533129_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "iabhishekofficial/mobile-price-classification" gold_answer = "0.9725" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0060_573_60573328_qa_1/task.toml b/tasks/0060_573_60573328_qa_1/task.toml index d23b28df027012042273bbb1bfcf7b399ce86d7a..12253ecada22712eace3d0b75e9abb2fd9ea58fb 100644 --- a/tasks/0060_573_60573328_qa_1/task.toml +++ b/tasks/0060_573_60573328_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "blastchar/telco-customer-churn" gold_answer = "11" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0060_577_60577566_qa_2/task.toml b/tasks/0060_577_60577566_qa_2/task.toml index 953b45ea34b8f5645967d6c7b72a80cd761dd01f..ac69eb522b5583a763046881b8dcb5fc2c86882d 100644 --- a/tasks/0060_577_60577566_qa_2/task.toml +++ b/tasks/0060_577_60577566_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gregorut/videogamesales" gold_answer = "Wii Sports" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0060_577_60577566_qa_5/task.toml b/tasks/0060_577_60577566_qa_5/task.toml index 3ef0f53ced343ca702cd97dc063d0d0a7240c780..f598ea15f5c27b734b2271a8be116ffa7e3cedfa 100644 --- a/tasks/0060_577_60577566_qa_5/task.toml +++ b/tasks/0060_577_60577566_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gregorut/videogamesales" gold_answer = "2006.4" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0061_146_61146157_qa_1/task.toml b/tasks/0061_146_61146157_qa_1/task.toml index e69927f06635278e0db7c5952879b8b1fc05e9e3..b01b96057aea680ff60c84bed7ebde3fcbfc312c 100644 --- a/tasks/0061_146_61146157_qa_1/task.toml +++ b/tasks/0061_146_61146157_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "brynja/wineuci" gold_answer = "Class 2, 71" reward_mode_initial = "list" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0061_292_61292134_qa_2/task.toml b/tasks/0061_292_61292134_qa_2/task.toml index 812c2b332795516fd6a0d8821371a49e561a41d3..84e0d42b9796b74c5f6249df8b5d90e37345fe24 100644 --- a/tasks/0061_292_61292134_qa_2/task.toml +++ b/tasks/0061_292_61292134_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/red-wine-quality-cortez-et-al-2009" gold_answer = "10" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0061_292_61292134_qa_3/task.toml b/tasks/0061_292_61292134_qa_3/task.toml index 35c3a645deb726d4248f16902602d5ca3f13e07d..90ce7bb3d68271bdc0430f7f498e7660fbae238f 100644 --- a/tasks/0061_292_61292134_qa_3/task.toml +++ b/tasks/0061_292_61292134_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/red-wine-quality-cortez-et-al-2009" gold_answer = "1000" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0061_651_61651144_qa_2/task.toml b/tasks/0061_651_61651144_qa_2/task.toml index 226a5e68ec5cbb9220a61ebeb81e475f1b9e97ee..41ffe160862bbbe720bb1f0190358956f3651931 100644 --- a/tasks/0061_651_61651144_qa_2/task.toml +++ b/tasks/0061_651_61651144_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/mushroom-classification" gold_answer = "veil-type" reward_mode_initial = "exact_short" package_tier = 2 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0061_860_61860657_qa_4/task.toml b/tasks/0061_860_61860657_qa_4/task.toml index 1910fc41e200ba3c94094377dbadfe801164e6d1..b9317e9a96c3faaf6df04b63d9339a40c040a86e 100644 --- a/tasks/0061_860_61860657_qa_4/task.toml +++ b/tasks/0061_860_61860657_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/sms-spam-collection-dataset" gold_answer = "13.41" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0062_048_62048358_qa_3/task.toml b/tasks/0062_048_62048358_qa_3/task.toml index a8138ce21d61a9cf9ebf31c37b24b320646bd27b..9243671a872b8dd5a67192936734b41352f2eab3 100644 --- a/tasks/0062_048_62048358_qa_3/task.toml +++ b/tasks/0062_048_62048358_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "tmcketterick/heights-and-weights" gold_answer = "2" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0062_379_62379173_qa_3/task.toml b/tasks/0062_379_62379173_qa_3/task.toml index 3e63796eecfb665f0c303e6789a8e470d26c97e4..9d1de0de23d50a272ea08f79caf336b4c169acb4 100644 --- a/tasks/0062_379_62379173_qa_3/task.toml +++ b/tasks/0062_379_62379173_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "momanyc/museum-collection" gold_answer = "130" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0062_653_62653158_qa_1/task.toml b/tasks/0062_653_62653158_qa_1/task.toml index 680cd6b89de96c021816c2003a547ccb320dfc85..67bce49031e0360bbd2d7f933cd5e1914166e275 100644 --- a/tasks/0062_653_62653158_qa_1/task.toml +++ b/tasks/0062_653_62653158_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "toramky/automobile-dataset" gold_answer = "toyota" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0063_038_63038880_qa_3/task.toml b/tasks/0063_038_63038880_qa_3/task.toml index a0a240f17d9a7210e5598dc0145a65c42119020c..7815ebf5d404f7f09d91e81294c8e1a7c4a88d64 100644 --- a/tasks/0063_038_63038880_qa_3/task.toml +++ b/tasks/0063_038_63038880_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "iabhishekofficial/mobile-price-classification" gold_answer = "2" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0063_386_63386776_qa_1/task.toml b/tasks/0063_386_63386776_qa_1/task.toml index d04e5bd7a9ec5cbb1f2b655665b429785449c126..354581afdd687a8d3054b97ec5224ed46a49cc0b 100644 --- a/tasks/0063_386_63386776_qa_1/task.toml +++ b/tasks/0063_386_63386776_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "jneupane12/movielens" gold_answer = "69" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0063_399_63399748_qa_5/task.toml b/tasks/0063_399_63399748_qa_5/task.toml index 8eb410fa22a8d9e6638db91ba1d0b4a07d668ccf..e79aaa3a6bca689cf34696a913ad2ef04f8bc141 100644 --- a/tasks/0063_399_63399748_qa_5/task.toml +++ b/tasks/0063_399_63399748_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/breast-cancer-wisconsin-data" gold_answer = "2357.5" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0063_482_63482132_qa_5/task.toml b/tasks/0063_482_63482132_qa_5/task.toml index fb408d13942f333968a6ae338753c3240e1511cb..5eca94c6937a53c4a5c6605752cccb76c13abd4c 100644 --- a/tasks/0063_482_63482132_qa_5/task.toml +++ b/tasks/0063_482_63482132_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "shivam2503/diamonds" gold_answer = "LabelEncoder" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0063_547_63547734_qa_3/task.toml b/tasks/0063_547_63547734_qa_3/task.toml index f498d44487cec91456e9f8c903df37e55e6152e9..134c37f7ad14a53de2554ea88f8311c927a5e7da 100644 --- a/tasks/0063_547_63547734_qa_3/task.toml +++ b/tasks/0063_547_63547734_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gregorut/videogamesales" gold_answer = "Nintendo, Electronic Arts, Activision, Sony Computer Entertainment, Ubisoft" reward_mode_initial = "list" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0063_631_63631791_qa_5/task.toml b/tasks/0063_631_63631791_qa_5/task.toml index 43addc3ff04e2165cf47a77730e4c812dfae4f63..c1e8daeba1a2aaa3409a962c34cd80cda432dcbf 100644 --- a/tasks/0063_631_63631791_qa_5/task.toml +++ b/tasks/0063_631_63631791_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "mirichoi0218/insurance" gold_answer = "yes" reward_mode_initial = "exact_bool" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0063_668_63668659_qa_2/task.toml b/tasks/0063_668_63668659_qa_2/task.toml index b01bfe876d673551d9c27d3c25d7fab3dc4dd743..a1138b177646d36ff0f19d719096fa875f2b49b7 100644 --- a/tasks/0063_668_63668659_qa_2/task.toml +++ b/tasks/0063_668_63668659_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "sdolezel/black-friday" gold_answer = "51-55" reward_mode_initial = "exact_short" package_tier = 2 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0063_711_63711638_qa_5/task.toml b/tasks/0063_711_63711638_qa_5/task.toml index b5b784d3ab0b79a25045c1a91d9ba80b7e63432d..11839fe0c60146ea5896ff52eb01b0a336b814f2 100644 --- a/tasks/0063_711_63711638_qa_5/task.toml +++ b/tasks/0063_711_63711638_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "datamunge/sign-language-mnist" gold_answer = "(27455, 28, 28, 1)" reward_mode_initial = "exact_short" package_tier = 2 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0063_842_63842304_qa_4/task.toml b/tasks/0063_842_63842304_qa_4/task.toml index b325a6295b783c433480d9cbd1406402a09ab7be..c8901cd78df5fc410505f160a7ac8bae5e07247b 100644 --- a/tasks/0063_842_63842304_qa_4/task.toml +++ b/tasks/0063_842_63842304_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "mattcarter865/mines-vs-rocks" gold_answer = "111" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0063_914_63914761_qa_4/task.toml b/tasks/0063_914_63914761_qa_4/task.toml index e0250841b4c1a77e5c949936630ac33838a46dd7..c2cf5559c5f4dcd9ea64f5c9d20d6d5d0d956f6b 100644 --- a/tasks/0063_914_63914761_qa_4/task.toml +++ b/tasks/0063_914_63914761_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "carrie1/ecommerce-data" gold_answer = "United Kingdom" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0064_448_64448402_qa_1/task.toml b/tasks/0064_448_64448402_qa_1/task.toml index 1d6361a14918dfb844e3b93f9a27166308174f96..0b4ee22c02cb1a31eac5392607b508e6d05a75d0 100644 --- a/tasks/0064_448_64448402_qa_1/task.toml +++ b/tasks/0064_448_64448402_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/red-wine-quality-cortez-et-al-2009" gold_answer = "mean=-2.7793132196426685e-15, std=1.0" reward_mode_initial = "list" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0064_908_64908177_qa_2/task.toml b/tasks/0064_908_64908177_qa_2/task.toml index a2fe8bb3081c54701bce7ce402b95fc1df178d55..8ec7d573cd33a6c497739bdd79d81e61db4ab222 100644 --- a/tasks/0064_908_64908177_qa_2/task.toml +++ b/tasks/0064_908_64908177_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/pima-indians-diabetes-database" gold_answer = "Glucose" reward_mode_initial = "exact_short" package_tier = 2 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0065_282_65282332_qa_2/task.toml b/tasks/0065_282_65282332_qa_2/task.toml index 6cc69fdf995589cfed33c31e0e1799f97facfccf..973f6783204c0092ab7975a2d15bb85b733ca11e 100644 --- a/tasks/0065_282_65282332_qa_2/task.toml +++ b/tasks/0065_282_65282332_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "brijbhushannanda1979/bigmart-sales-data" gold_answer = "Item_MRP" reward_mode_initial = "exact_short" package_tier = 2 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0065_282_65282332_qa_5/task.toml b/tasks/0065_282_65282332_qa_5/task.toml index e728d04096d9b2e7bac3f15d807196efb670e8c7..5466d818b31cc54073c62635aa0bd64744e19731 100644 --- a/tasks/0065_282_65282332_qa_5/task.toml +++ b/tasks/0065_282_65282332_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "brijbhushannanda1979/bigmart-sales-data" gold_answer = "positive" reward_mode_initial = "exact_short" package_tier = 2 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0065_337_65337674_qa_4/task.toml b/tasks/0065_337_65337674_qa_4/task.toml index 83d5978134cf968cf80b6742ef9d3f13d2942ef4..b166858b1ee872145643a8d7def40041d6b94a9b 100644 --- a/tasks/0065_337_65337674_qa_4/task.toml +++ b/tasks/0065_337_65337674_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "mahendrabishnoi2/residualnetworks" gold_answer = "12288" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0065_951_65951065_qa_1/task.toml b/tasks/0065_951_65951065_qa_1/task.toml index e53fd6888eebaf0430d6da0eca9a2810e5ba5786..6f7b4b9aba57db9fbd9d8c1896d2b56f7da59439 100644 --- a/tasks/0065_951_65951065_qa_1/task.toml +++ b/tasks/0065_951_65951065_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/pima-indians-diabetes-database" gold_answer = "34.9" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0066_392_66392992_qa_3/task.toml b/tasks/0066_392_66392992_qa_3/task.toml index 38cdad19cdda32af8d2faf140843c31ad5b65418..5003acfc5acfd8b01f30d7ab9a317a46b9035f07 100644 --- a/tasks/0066_392_66392992_qa_3/task.toml +++ b/tasks/0066_392_66392992_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "smithsonian/volcanic-eruptions" gold_answer = "-145.43676549" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0066_730_66730048_qa_2/task.toml b/tasks/0066_730_66730048_qa_2/task.toml index 60721d1fad80d140047da3a50808f4a100ff380e..bb67157799fbf9c9a9a03013c9c391622fdf4fce 100644 --- a/tasks/0066_730_66730048_qa_2/task.toml +++ b/tasks/0066_730_66730048_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "pavansubhasht/ibm-hr-analytics-attrition-dataset" gold_answer = "17.505" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0066_819_66819249_qa_2/task.toml b/tasks/0066_819_66819249_qa_2/task.toml index 7f11658ac4956a53e747b6ed11cbefffedbfc690..f117bc7d4922eee540dc04cd934eee42d4423906 100644 --- a/tasks/0066_819_66819249_qa_2/task.toml +++ b/tasks/0066_819_66819249_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "mirichoi0218/insurance" gold_answer = "sex" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0066_890_66890335_qa_4/task.toml b/tasks/0066_890_66890335_qa_4/task.toml index 528ce1f7051576b7bc837da10bb092cf87a25533..3e37d7e6981ba20c0454459c9e9f0d3a038578fa 100644 --- a/tasks/0066_890_66890335_qa_4/task.toml +++ b/tasks/0066_890_66890335_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "mirichoi0218/insurance" gold_answer = "1.516" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0067_113_67113701_qa_3/task.toml b/tasks/0067_113_67113701_qa_3/task.toml index e80b1a9dd96250892d06a39ddd2faac7faff2487..e64a9a3c2949b1300955ff729d000f501cfd6109 100644 --- a/tasks/0067_113_67113701_qa_3/task.toml +++ b/tasks/0067_113_67113701_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "elikplim/car-evaluation-data-set" gold_answer = "unacc" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0067_118_67118977_qa_5/task.toml b/tasks/0067_118_67118977_qa_5/task.toml index 0f9ee1ccd04677bf21c7c4fa547176e07692f2ec..d87ef1e2b5807abfb9f3db519c2f0d64ee69f357 100644 --- a/tasks/0067_118_67118977_qa_5/task.toml +++ b/tasks/0067_118_67118977_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/red-wine-quality-cortez-et-al-2009" gold_answer = "681" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0067_446_67446851_qa_1/task.toml b/tasks/0067_446_67446851_qa_1/task.toml index a525bee13eea374ece57a1bccab03b63381d35c4..3f0613b33b30cd061287f754b4607fe1e55c4f32 100644 --- a/tasks/0067_446_67446851_qa_1/task.toml +++ b/tasks/0067_446_67446851_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/breast-cancer-wisconsin-data" gold_answer = "fractal_dimension_mean" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0067_492_67492049_qa_2/task.toml b/tasks/0067_492_67492049_qa_2/task.toml index 2efa44e645fc76c50c3344e4863004db1d29462a..2f69cfd378e514aac658967c214584a17017e07d 100644 --- a/tasks/0067_492_67492049_qa_2/task.toml +++ b/tasks/0067_492_67492049_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gilsousa/habermans-survival-data-set" gold_answer = "40" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0067_522_67522470_qa_4/task.toml b/tasks/0067_522_67522470_qa_4/task.toml index dbd42953d06578f45852f4949a738720445cbe61..6c7e4c623fc65952e83b615454bec34727a98a1d 100644 --- a/tasks/0067_522_67522470_qa_4/task.toml +++ b/tasks/0067_522_67522470_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/iris" gold_answer = "1.30" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0067_990_67990197_qa_1/task.toml b/tasks/0067_990_67990197_qa_1/task.toml index 21bbf0b40febc8f2358bf09656a699cc10d88b87..a319856eba663e76850791d4fe858989c77f2fae 100644 --- a/tasks/0067_990_67990197_qa_1/task.toml +++ b/tasks/0067_990_67990197_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "saurabh00007/iriscsv" gold_answer = "PetalLengthCm, PetalWidthCm, 0.96" reward_mode_initial = "list" package_tier = 0 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0068_009_68009679_qa_1/task.toml b/tasks/0068_009_68009679_qa_1/task.toml index 9b5e25ceecfb3eb464a04d7f21b9a2463976363d..0f8505d7420c1951bc681a3f971c654aae200f04 100644 --- a/tasks/0068_009_68009679_qa_1/task.toml +++ b/tasks/0068_009_68009679_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "carolzhangdc/imdb-5000-movie-dataset" gold_answer = "2009" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0068_041_68041367_qa_2/task.toml b/tasks/0068_041_68041367_qa_2/task.toml index eb4754d514cc101ea5479335a729e9b9b4f1348f..1f91cb62482707fbbfc30c1a6ba1e10f5ef55bf7 100644 --- a/tasks/0068_041_68041367_qa_2/task.toml +++ b/tasks/0068_041_68041367_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/pima-indians-diabetes-database" gold_answer = "34.9" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0068_041_68041367_qa_5/task.toml b/tasks/0068_041_68041367_qa_5/task.toml index d3cc1a3e646789aaf92ef89dd97421546e143b31..c71fb3cf931f7acb28d05c1ee1c4d9f26a358a77 100644 --- a/tasks/0068_041_68041367_qa_5/task.toml +++ b/tasks/0068_041_68041367_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/pima-indians-diabetes-database" gold_answer = "0.62" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0068_152_68152590_qa_2/task.toml b/tasks/0068_152_68152590_qa_2/task.toml index dee2fd05d23b32d943315ca53cdba469e6709eab..e1c522ed34e352bcff22d291323048396ebadea0 100644 --- a/tasks/0068_152_68152590_qa_2/task.toml +++ b/tasks/0068_152_68152590_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gregorut/videogamesales" gold_answer = "48.9" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0068_518_68518330_qa_2/task.toml b/tasks/0068_518_68518330_qa_2/task.toml index 102823897d72cc990854475e365ff8f47f6c8b77..6f59b3a1a8a23dcfb52bb14ca91d9cfaa119018c 100644 --- a/tasks/0068_518_68518330_qa_2/task.toml +++ b/tasks/0068_518_68518330_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "harlfoxem/housesalesprediction" gold_answer = "5" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0068_714_68714318_qa_1/task.toml b/tasks/0068_714_68714318_qa_1/task.toml index c9960248f1d7a0cdcd2e2b2c02afcaf6602440b6..ebe403fb56a8a0bae436a5262717b396d7b96574 100644 --- a/tasks/0068_714_68714318_qa_1/task.toml +++ b/tasks/0068_714_68714318_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gilsousa/habermans-survival-data-set" gold_answer = "26.47" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0068_864_68864400_qa_1/task.toml b/tasks/0068_864_68864400_qa_1/task.toml index f940b8a3edf3711d5686ee0a43c3c8f4baa25b0a..5e041909b8a9afdef49ef7a414849ed019272881 100644 --- a/tasks/0068_864_68864400_qa_1/task.toml +++ b/tasks/0068_864_68864400_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/pima-indians-diabetes-database" gold_answer = "48.7" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0069_047_69047990_qa_1/task.toml b/tasks/0069_047_69047990_qa_1/task.toml index 6cf28a9b1fcab20244717a39b4d31be0221da665..c08a9076486e96cd8dcb9140c6fe4fc2f99c352e 100644 --- a/tasks/0069_047_69047990_qa_1/task.toml +++ b/tasks/0069_047_69047990_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "kumarajarshi/life-expectancy-who" gold_answer = "Japan" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0069_094_69094334_qa_4/task.toml b/tasks/0069_094_69094334_qa_4/task.toml index a333490e3ade96951dd2c25246c780d49cd1e062..2fd2d7c42746ef9e2f555b6870adefd3780af976 100644 --- a/tasks/0069_094_69094334_qa_4/task.toml +++ b/tasks/0069_094_69094334_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "creepyghost/uci-ionosphere" gold_answer = "0.914" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0069_205_69205815_qa_5/task.toml b/tasks/0069_205_69205815_qa_5/task.toml index d813e4d66c7a0cb657860b7d61ef7246dcfb6585..89f1f34b628c7dd7a6aaf40ec9a8fd54fb1fa86b 100644 --- a/tasks/0069_205_69205815_qa_5/task.toml +++ b/tasks/0069_205_69205815_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "hesh97/titanicdataset-traincsv" gold_answer = "0.7988826815642458" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0069_485_69485814_qa_2/task.toml b/tasks/0069_485_69485814_qa_2/task.toml index 99e229225a4d854bf5f94368e4e2e2d975b7c664..00c9fe4df6cd564c8d156c07fcfd93350be7af80 100644 --- a/tasks/0069_485_69485814_qa_2/task.toml +++ b/tasks/0069_485_69485814_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "brijbhushannanda1979/bigmart-sales-data" gold_answer = "Item_Visibility" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0069_613_69613166_qa_5/task.toml b/tasks/0069_613_69613166_qa_5/task.toml index fe7d4d2408f79fcd70e33392315bb8e426acd4bd..05806e405dbe21ea7710ecb110ee78a1ca15b0af 100644 --- a/tasks/0069_613_69613166_qa_5/task.toml +++ b/tasks/0069_613_69613166_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/red-wine-quality-cortez-et-al-2009" gold_answer = "217" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0070_420_70420149_qa_5/task.toml b/tasks/0070_420_70420149_qa_5/task.toml index 33cd8b93fdff607de301af35cdbe8c84b0ee4cf6..ccef6cef15e4d993a95d97aea086567191621a8c 100644 --- a/tasks/0070_420_70420149_qa_5/task.toml +++ b/tasks/0070_420_70420149_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "tmdb/tmdb-movie-metadata" gold_answer = "6.09" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0070_620_70620378_qa_5/task.toml b/tasks/0070_620_70620378_qa_5/task.toml index f26f80965f0a385c97d82bbc1cecde6127d156a9..d156e3cb150d825fbe44cdecf6a5a9f86aa8b56b 100644 --- a/tasks/0070_620_70620378_qa_5/task.toml +++ b/tasks/0070_620_70620378_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "carrie1/ecommerce-data" gold_answer = "50" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0070_816_70816004_qa_3/task.toml b/tasks/0070_816_70816004_qa_3/task.toml index 5e35df4579c7a89e7f7c61a6ea5a48ae2682fd80..377afc73245d47fbf81d634f87c8b1a100a9d6d9 100644 --- a/tasks/0070_816_70816004_qa_3/task.toml +++ b/tasks/0070_816_70816004_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/red-wine-quality-cortez-et-al-2009" gold_answer = "11" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0071_397_71397798_qa_2/task.toml b/tasks/0071_397_71397798_qa_2/task.toml index 9b2d9cbf9490da635a651125cf9e3c162b5ad61f..62133a1406c60aa483750c3296178f09d85cbf39 100644 --- a/tasks/0071_397_71397798_qa_2/task.toml +++ b/tasks/0071_397_71397798_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/sms-spam-collection-dataset" gold_answer = "68" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0071_437_71437256_qa_3/task.toml b/tasks/0071_437_71437256_qa_3/task.toml index 2e15062cd9d3bcca6d34df10f0baa2d8c19d28e6..d5bc795c7cab39ed9a227035041a5eeb9076c51a 100644 --- a/tasks/0071_437_71437256_qa_3/task.toml +++ b/tasks/0071_437_71437256_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "mirichoi0218/insurance" gold_answer = "6123.81" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0071_997_71997138_qa_5/task.toml b/tasks/0071_997_71997138_qa_5/task.toml index 71ec907793bc6c509c58b83d4ed88e7b171ea9ab..e66d94f437b6ba37a9d53b156d05c9b99b6839fa 100644 --- a/tasks/0071_997_71997138_qa_5/task.toml +++ b/tasks/0071_997_71997138_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "purbar/advertising-data" gold_answer = "0.1885" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0072_403_72403187_qa_1/task.toml b/tasks/0072_403_72403187_qa_1/task.toml index 89d1190cf1a4f8ca92fd1c020a35ec8261fbc3c7..74a045efc996e87357177f4d9b22aabd27720cd8 100644 --- a/tasks/0072_403_72403187_qa_1/task.toml +++ b/tasks/0072_403_72403187_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/breast-cancer-wisconsin-data" gold_answer = "radius_mean" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0072_767_72767167_qa_1/task.toml b/tasks/0072_767_72767167_qa_1/task.toml index 965445df0e2a5ea6a8cb41f8c32d07bd8b1a7f99..1314b9f407f1d944e66ea8930c5747f42e42681d 100644 --- a/tasks/0072_767_72767167_qa_1/task.toml +++ b/tasks/0072_767_72767167_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/pima-indians-diabetes-database" gold_answer = "Glucose" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0073_430_73430286_qa_2/task.toml b/tasks/0073_430_73430286_qa_2/task.toml index ef5cafaed5f2fa6dd53bb9320ad40c3081cc69c2..58c3b3c0ed7e3132ecd724dd2dfbb7d9751082dc 100644 --- a/tasks/0073_430_73430286_qa_2/task.toml +++ b/tasks/0073_430_73430286_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "karthickveerakumar/salary-data-simple-linear-regression" gold_answer = "80922.09" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0073_798_73798390_qa_4/task.toml b/tasks/0073_798_73798390_qa_4/task.toml index 9f8922f360f02aa2c4647c1ff223763fa89309f6..5d1a1eb65ba01f0caeae14c7ceb9d69abf8766df 100644 --- a/tasks/0073_798_73798390_qa_4/task.toml +++ b/tasks/0073_798_73798390_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "giripujar/hr-analytics" gold_answer = "0.95" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0073_798_73798390_qa_5/task.toml b/tasks/0073_798_73798390_qa_5/task.toml index 5a4f5ad5534abe56c14e26953a3efeed2e1fc1f0..aaa8c55e2093298e6cf26fd1a62c02d6094619e3 100644 --- a/tasks/0073_798_73798390_qa_5/task.toml +++ b/tasks/0073_798_73798390_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "giripujar/hr-analytics" gold_answer = "200" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0073_939_73939724_qa_1/task.toml b/tasks/0073_939_73939724_qa_1/task.toml index 637737e33b59cb05320279f1c7940f5f036eb43b..a420c211cd324c92d9c18013d4f939f8176d1dba 100644 --- a/tasks/0073_939_73939724_qa_1/task.toml +++ b/tasks/0073_939_73939724_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "shivam2503/diamonds" gold_answer = "Fair" reward_mode_initial = "exact_short" package_tier = 2 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0073_984_73984919_qa_4/task.toml b/tasks/0073_984_73984919_qa_4/task.toml index 73d152c92a98a70df9f1987c250fee2577a19924..d62a41414e76c234685b7e12b3face73daea1465 100644 --- a/tasks/0073_984_73984919_qa_4/task.toml +++ b/tasks/0073_984_73984919_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "kabure/german-credit-data-with-risk" gold_answer = "70" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0074_537_74537408_qa_5/task.toml b/tasks/0074_537_74537408_qa_5/task.toml index d4ae1f9203312798a685ff0357fafc7d7bfe8a25..8d4d27c557863d70c1eb0af5932456a9352bcc3d 100644 --- a/tasks/0074_537_74537408_qa_5/task.toml +++ b/tasks/0074_537_74537408_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "joniarroba/noshowappointments" gold_answer = "65" reward_mode_initial = "numeric" package_tier = 0 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0074_845_74845042_qa_5/task.toml b/tasks/0074_845_74845042_qa_5/task.toml index 56d11abeed95219c3db19448e3b93c42881fc0d8..c0a44f13b254e231529324e8795c71cd7574c1ef 100644 --- a/tasks/0074_845_74845042_qa_5/task.toml +++ b/tasks/0074_845_74845042_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/autompg-dataset" gold_answer = "398, 8" reward_mode_initial = "list" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0075_061_75061101_qa_2/task.toml b/tasks/0075_061_75061101_qa_2/task.toml index 1a32ca32dcb865ac9e9e3eb0ba9695636e8acbf1..69726a873073866d8b675b397eb9d01e7fae8e98 100644 --- a/tasks/0075_061_75061101_qa_2/task.toml +++ b/tasks/0075_061_75061101_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gregorut/videogamesales" gold_answer = "Action" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0075_131_75131662_qa_1/task.toml b/tasks/0075_131_75131662_qa_1/task.toml index d8b39923cfd74305c39c63b144b7cad5bd07caa3..fe3d068f3923ac8698c8769100b1abb5cc8caf1b 100644 --- a/tasks/0075_131_75131662_qa_1/task.toml +++ b/tasks/0075_131_75131662_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "iabhishekofficial/mobile-price-classification" gold_answer = "fc" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0075_146_75146296_qa_4/task.toml b/tasks/0075_146_75146296_qa_4/task.toml index 2f27737774fb0a58f7bb53b5f58ef3dcff9622bf..d37223c0d5d9630de0e7d52604fd38ec90b9b6ea 100644 --- a/tasks/0075_146_75146296_qa_4/task.toml +++ b/tasks/0075_146_75146296_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/breast-cancer-wisconsin-data" gold_answer = "20" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0075_174_75174860_qa_3/task.toml b/tasks/0075_174_75174860_qa_3/task.toml index bf7cf9beb29ce3d843f8ddbe46dee6c810875bcd..17644a679a0ad0b8b53fae2f38c7e6e427fa5858 100644 --- a/tasks/0075_174_75174860_qa_3/task.toml +++ b/tasks/0075_174_75174860_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/pima-indians-diabetes-database" gold_answer = "32" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0075_402_75402843_qa_3/task.toml b/tasks/0075_402_75402843_qa_3/task.toml index 441ff296eab41873ee353514af6766f264f73103..75d83bb301cf2d94f33669e5a0b681546f9b0239 100644 --- a/tasks/0075_402_75402843_qa_3/task.toml +++ b/tasks/0075_402_75402843_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "residentmario/ramen-ratings" gold_answer = "Prima Taste" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0075_744_75744297_qa_3/task.toml b/tasks/0075_744_75744297_qa_3/task.toml index 60f4eb077463aab57511c2151b6688ebc440cdb0..a0b6fcfedd77911beccca075e208ada631e0111a 100644 --- a/tasks/0075_744_75744297_qa_3/task.toml +++ b/tasks/0075_744_75744297_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/red-wine-quality-cortez-et-al-2009" gold_answer = "0.0775" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0076_310_76310705_qa_1/task.toml b/tasks/0076_310_76310705_qa_1/task.toml index cfc0fe77a27cd5fe75f801300f6c5e08a5141605..a91170a64dc65946b8f5966702b8f5813720c97c 100644 --- a/tasks/0076_310_76310705_qa_1/task.toml +++ b/tasks/0076_310_76310705_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/pima-indians-diabetes-database" gold_answer = "Insulin" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0076_410_76410509_qa_2/task.toml b/tasks/0076_410_76410509_qa_2/task.toml index 6fb3a60d5060166c026f1c4edb5ea09cdf123965..6a0dcaa83fef29d992cc956d5050d8340c679b58 100644 --- a/tasks/0076_410_76410509_qa_2/task.toml +++ b/tasks/0076_410_76410509_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "elikplim/car-evaluation-data-set" gold_answer = "safety" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0076_758_76758480_qa_1/task.toml b/tasks/0076_758_76758480_qa_1/task.toml index 99ae9d595557fe2f63b42eb18b8f98585b54383c..da05839cf257c0ca76f414cb1f28ce12c7b04c9c 100644 --- a/tasks/0076_758_76758480_qa_1/task.toml +++ b/tasks/0076_758_76758480_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "hb20007/gender-classification" gold_answer = "22" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0076_770_76770209_qa_3/task.toml b/tasks/0076_770_76770209_qa_3/task.toml index a8d1430e0ab4ab741dbf0f21912e4a0125582ce0..97990f504ec7f9fa39a92b6b1a7446107237c379 100644 --- a/tasks/0076_770_76770209_qa_3/task.toml +++ b/tasks/0076_770_76770209_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "blastchar/telco-customer-churn" gold_answer = "No" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0076_770_76770209_qa_4/task.toml b/tasks/0076_770_76770209_qa_4/task.toml index f4a7a821b11429e5de68ddece81c8e77b4780d68..bd262e5e72318f7d27b9b137b88baa3924a2547a 100644 --- a/tasks/0076_770_76770209_qa_4/task.toml +++ b/tasks/0076_770_76770209_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "blastchar/telco-customer-churn" gold_answer = "Electronic check" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0077_165_77165888_qa_1/task.toml b/tasks/0077_165_77165888_qa_1/task.toml index fe9fd1fe2d49fca5a44325621b29a93b6d003f04..c7ee9408fe586f2f079db308b80a915381e27037 100644 --- a/tasks/0077_165_77165888_qa_1/task.toml +++ b/tasks/0077_165_77165888_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/pima-indians-diabetes-database" gold_answer = "48.7" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0077_558_77558936_qa_3/task.toml b/tasks/0077_558_77558936_qa_3/task.toml index 40a2d92c60e12199f2593fc43e959ef924dad0f4..c027be61e898f4124a88c160453ef4939b2e28b3 100644 --- a/tasks/0077_558_77558936_qa_3/task.toml +++ b/tasks/0077_558_77558936_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "harlfoxem/housesalesprediction" gold_answer = "Seattle" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0078_661_78661279_qa_3/task.toml b/tasks/0078_661_78661279_qa_3/task.toml index d6ada2e523c12208279ab5ac9a39344d2b8d7f4d..3df0c9bab23734a6e66bc9092b4e0081d44abe6c 100644 --- a/tasks/0078_661_78661279_qa_3/task.toml +++ b/tasks/0078_661_78661279_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/autompg-dataset" gold_answer = "Cylinders, displacement, horsepower, weight" reward_mode_initial = "list" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0078_661_78661279_qa_5/task.toml b/tasks/0078_661_78661279_qa_5/task.toml index e884a72322418fb7002e09924584a00eb25aad5b..df444662162d2687ac91059416834e27787172d4 100644 --- a/tasks/0078_661_78661279_qa_5/task.toml +++ b/tasks/0078_661_78661279_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/autompg-dataset" gold_answer = "93.5" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0078_857_78857883_qa_1/task.toml b/tasks/0078_857_78857883_qa_1/task.toml index f0cd6f1e58b9ab39fc18da9a5d7c90b547006982..0b33926240c10b15c17bed0ac5fd7438e4b5241d 100644 --- a/tasks/0078_857_78857883_qa_1/task.toml +++ b/tasks/0078_857_78857883_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "karthickveerakumar/salary-data-simple-linear-regression" gold_answer = "0.957" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0079_606_79606942_qa_1/task.toml b/tasks/0079_606_79606942_qa_1/task.toml index 7727abd50d57c1802cb3a7d1a27df70851b5be22..d38c7667bf4af333cc60512d52cb253a5f6e7e04 100644 --- a/tasks/0079_606_79606942_qa_1/task.toml +++ b/tasks/0079_606_79606942_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "brijbhushannanda1979/bigmart-sales-data" gold_answer = "Item_MRP" reward_mode_initial = "exact_short" package_tier = 2 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0080_304_80304821_qa_1/task.toml b/tasks/0080_304_80304821_qa_1/task.toml index 3a9f7c2fb2908530aed2b897f6e5129f50300eef..a50ddb1aa4896ef48a796f46dcd67797262bbdad 100644 --- a/tasks/0080_304_80304821_qa_1/task.toml +++ b/tasks/0080_304_80304821_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "blastchar/telco-customer-churn" gold_answer = "11" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0080_863_80863637_qa_4/task.toml b/tasks/0080_863_80863637_qa_4/task.toml index 7991248af9f6ef9582a6ac00cb99b313fbcb653f..e5f8ae59e0e845956662345c8a22cad238dca053 100644 --- a/tasks/0080_863_80863637_qa_4/task.toml +++ b/tasks/0080_863_80863637_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "pavansubhasht/ibm-hr-analytics-attrition-dataset" gold_answer = "6" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0081_173_81173353_qa_3/task.toml b/tasks/0081_173_81173353_qa_3/task.toml index 71ed77460abfdec3e2d3ce4a4667e5fa60c642e7..d939c23963bca693425faaba6cba78e1cabbfb1e 100644 --- a/tasks/0081_173_81173353_qa_3/task.toml +++ b/tasks/0081_173_81173353_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "joniarroba/noshowappointments" gold_answer = "62299" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0081_477_81477923_qa_2/task.toml b/tasks/0081_477_81477923_qa_2/task.toml index 098d5d2cbcaef6c8b5b12ddff9cb847d9fc5e93a..af12a13aab32e760f00e17ed17dcc9f55851bead 100644 --- a/tasks/0081_477_81477923_qa_2/task.toml +++ b/tasks/0081_477_81477923_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "toramky/automobile-dataset" gold_answer = "sedan" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0081_615_81615013_qa_4/task.toml b/tasks/0081_615_81615013_qa_4/task.toml index 69df4d0bbfcf8e3fa943304883917373cfc75744..19547341691ad1368123ec1ecbc5e0df222bcfd4 100644 --- a/tasks/0081_615_81615013_qa_4/task.toml +++ b/tasks/0081_615_81615013_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "arjunbhasin2013/ccdata" gold_answer = "17" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0081_836_81836619_qa_3/task.toml b/tasks/0081_836_81836619_qa_3/task.toml index b326a51e06efd8d02fc5630ebcdab5cd05043832..07be340a703685b14e1549e89a43648b87a62484 100644 --- a/tasks/0081_836_81836619_qa_3/task.toml +++ b/tasks/0081_836_81836619_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/iris" gold_answer = "PetalLengthCm" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0082_373_82373986_qa_1/task.toml b/tasks/0082_373_82373986_qa_1/task.toml index f4deb8ce8dd464846432bca5d94f45a5b54fc045..4985f7d52518602d6be72c9015f6011dcf49f0e5 100644 --- a/tasks/0082_373_82373986_qa_1/task.toml +++ b/tasks/0082_373_82373986_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "imrandude/olivetti" gold_answer = "10" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0082_498_82498397_qa_4/task.toml b/tasks/0082_498_82498397_qa_4/task.toml index b83844a0947a97a3218054a48a53f8463eefe4f2..c382aa6deee0d654819cc0af5093a19f6ed5da38 100644 --- a/tasks/0082_498_82498397_qa_4/task.toml +++ b/tasks/0082_498_82498397_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "ealaxi/banksim1" gold_answer = "587443" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0082_498_82498397_qa_5/task.toml b/tasks/0082_498_82498397_qa_5/task.toml index 38b36ee9ca74334582e15554e537926f7ebe9669..99beeb2cea0defa241dbd4e0926b550b563bd122 100644 --- a/tasks/0082_498_82498397_qa_5/task.toml +++ b/tasks/0082_498_82498397_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "ealaxi/banksim1" gold_answer = "98.789" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0082_619_82619539_qa_1/task.toml b/tasks/0082_619_82619539_qa_1/task.toml index 95156878352f01ec089ce393228bf235f8a79255..c6746596c38a965e7daadc2e53ff6f91df682dcb 100644 --- a/tasks/0082_619_82619539_qa_1/task.toml +++ b/tasks/0082_619_82619539_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "nasa/landslide-events" gold_answer = "July" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0083_620_83620010_qa_4/task.toml b/tasks/0083_620_83620010_qa_4/task.toml index 1739c33b413e442a1dec07e2b7f8c17154bfd34a..541de8a344c7946449589a348cf88d8772273875 100644 --- a/tasks/0083_620_83620010_qa_4/task.toml +++ b/tasks/0083_620_83620010_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "aljarah/xAPI-Edu-Data" gold_answer = "Biology" reward_mode_initial = "exact_short" package_tier = 0 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0083_938_83938085_qa_5/task.toml b/tasks/0083_938_83938085_qa_5/task.toml index 09f34c7878a5826e14abe96542acf0eeb0674fa9..718f5ef599b2add51cccecd1a5571cff5a8a708c 100644 --- a/tasks/0083_938_83938085_qa_5/task.toml +++ b/tasks/0083_938_83938085_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "mirichoi0218/insurance" gold_answer = "southeast male" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0084_297_84297732_qa_2/task.toml b/tasks/0084_297_84297732_qa_2/task.toml index 15a95f89e22547228f7c5ffc04199001efe827e3..1498391ffaf18fd2a0457a0d0def69c4837936e2 100644 --- a/tasks/0084_297_84297732_qa_2/task.toml +++ b/tasks/0084_297_84297732_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/red-wine-quality-cortez-et-al-2009" gold_answer = "26" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0084_297_84297732_qa_3/task.toml b/tasks/0084_297_84297732_qa_3/task.toml index dc249c3d7dcab1b7892048b75fa23a31604eec83..44c675c8da10c0c43b33a69d60e6c7da80ae8a8c 100644 --- a/tasks/0084_297_84297732_qa_3/task.toml +++ b/tasks/0084_297_84297732_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/red-wine-quality-cortez-et-al-2009" gold_answer = "11.52" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0084_523_84523209_qa_5/task.toml b/tasks/0084_523_84523209_qa_5/task.toml index afddc5507b085c3086c72b28e871b58f6169cb10..0a70e2f93910b36fc30d537890b51ab52792865b 100644 --- a/tasks/0084_523_84523209_qa_5/task.toml +++ b/tasks/0084_523_84523209_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gregorut/videogamesales" gold_answer = "2008" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0084_634_84634252_qa_4/task.toml b/tasks/0084_634_84634252_qa_4/task.toml index 91968bf7640273cca21da4b8070310b7b63cfd30..e838d1d03188dfd325198bc6c2c337097392e96a 100644 --- a/tasks/0084_634_84634252_qa_4/task.toml +++ b/tasks/0084_634_84634252_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "kyanyoga/sample-sales-data" gold_answer = "87.53" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0084_727_84727795_qa_5/task.toml b/tasks/0084_727_84727795_qa_5/task.toml index 1e036fb9e0e9467b533e190ca0022dfb6e0d9ca0..b68a4443b5772593a5b3670c917340dc68695690 100644 --- a/tasks/0084_727_84727795_qa_5/task.toml +++ b/tasks/0084_727_84727795_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/red-wine-quality-cortez-et-al-2009" gold_answer = "8.32" reward_mode_initial = "numeric" package_tier = 3 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0085_151_85151836_qa_1/task.toml b/tasks/0085_151_85151836_qa_1/task.toml index bfffcd70bf122f41b3572cae2effee66976a6a8e..1402ecbbb4cd50c465b18a779abfe8d5b6dd8d58 100644 --- a/tasks/0085_151_85151836_qa_1/task.toml +++ b/tasks/0085_151_85151836_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "federalreserve/interest-rates" gold_answer = "yes" reward_mode_initial = "exact_bool" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0085_154_85154775_qa_2/task.toml b/tasks/0085_154_85154775_qa_2/task.toml index 61b68346c8b13d1f5b4bc3b3cd3e156b92a3ad1b..48ef6482d563ffc464365e049ad057c1aeac08b0 100644 --- a/tasks/0085_154_85154775_qa_2/task.toml +++ b/tasks/0085_154_85154775_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/sms-spam-collection-dataset" gold_answer = "ham, 0.99" reward_mode_initial = "list" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0086_267_86267950_qa_4/task.toml b/tasks/0086_267_86267950_qa_4/task.toml index 676947fe4ede2b18be7ff6796bffb1afe664333c..7095152b6acc85f467e8474336cf2408fc9636a8 100644 --- a/tasks/0086_267_86267950_qa_4/task.toml +++ b/tasks/0086_267_86267950_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "crawford/80-cereals" gold_answer = "A, 1" reward_mode_initial = "list" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0086_817_86817986_qa_4/task.toml b/tasks/0086_817_86817986_qa_4/task.toml index 7db16c86b8989765f01faa1f176778f1d03f650e..818e55f53841b9288955d3ea34a2f3b756f22a6c 100644 --- a/tasks/0086_817_86817986_qa_4/task.toml +++ b/tasks/0086_817_86817986_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "toramky/automobile-dataset" gold_answer = "-0.7" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0086_821_86821577_qa_3/task.toml b/tasks/0086_821_86821577_qa_3/task.toml index c0decf8ed9d17c31d6256a76afe4b334eccd1499..4114348c6653f42655a5d6c9b2326c65e1b8e19b 100644 --- a/tasks/0086_821_86821577_qa_3/task.toml +++ b/tasks/0086_821_86821577_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "datamunge/sign-language-mnist" gold_answer = "24" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0087_174_87174947_qa_1/task.toml b/tasks/0087_174_87174947_qa_1/task.toml index dff1df8a72eeea3f5a8ddd75b4e37bc2830a9d09..0ca17cc1ae19f3011c595201c1d629ae15e82b52 100644 --- a/tasks/0087_174_87174947_qa_1/task.toml +++ b/tasks/0087_174_87174947_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/red-wine-quality-cortez-et-al-2009" gold_answer = "5" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0087_222_87222139_qa_4/task.toml b/tasks/0087_222_87222139_qa_4/task.toml index 1a299abe6918d97a63331140a1cd36f2ca042ed4..ac47222a0f4e14ccffe4747ee7add73d6acc1ac3 100644 --- a/tasks/0087_222_87222139_qa_4/task.toml +++ b/tasks/0087_222_87222139_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "tmcketterick/heights-and-weights" gold_answer = "0.433" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0087_558_87558511_qa_5/task.toml b/tasks/0087_558_87558511_qa_5/task.toml index f8ad7ed61cc34d4d94997c80a3ce08f1690bba70..f4de17f55e3a72ca1e51df268c85a91ce33c93f4 100644 --- a/tasks/0087_558_87558511_qa_5/task.toml +++ b/tasks/0087_558_87558511_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "abcsds/pokemon" gold_answer = "Empoleon" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0087_825_87825397_qa_3/task.toml b/tasks/0087_825_87825397_qa_3/task.toml index df8258d4339400fc543f509b33c811aa8a22b91b..2c6641a9a4b208806c0c157969b1f98c35f22a89 100644 --- a/tasks/0087_825_87825397_qa_3/task.toml +++ b/tasks/0087_825_87825397_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/pima-indians-diabetes-database" gold_answer = "374" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0087_941_87941186_qa_3/task.toml b/tasks/0087_941_87941186_qa_3/task.toml index caecad545e26e2b956291ac6cbdf1943a7282766..7ac25fe92e395f8621449f39aaef801291e150c9 100644 --- a/tasks/0087_941_87941186_qa_3/task.toml +++ b/tasks/0087_941_87941186_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/red-wine-quality-cortez-et-al-2009" gold_answer = "217" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0088_102_88102916_qa_2/task.toml b/tasks/0088_102_88102916_qa_2/task.toml index 69a029aaf06be24cfd5abf2fe6a6effa5250d469..e766f346f9ede73d47ac3e1a08e6ae772e13e4a8 100644 --- a/tasks/0088_102_88102916_qa_2/task.toml +++ b/tasks/0088_102_88102916_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/pima-indians-diabetes-database" gold_answer = "Insulin" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0088_305_88305132_qa_4/task.toml b/tasks/0088_305_88305132_qa_4/task.toml index 09f11bbbf2d0a9818941cc36d0d5118c8d466ad3..ebd20aa9cf5ff420bda68382793852b92c49f24c 100644 --- a/tasks/0088_305_88305132_qa_4/task.toml +++ b/tasks/0088_305_88305132_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "tmdb/tmdb-movie-metadata" gold_answer = "7" reward_mode_initial = "numeric" package_tier = 3 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0088_961_88961970_qa_1/task.toml b/tasks/0088_961_88961970_qa_1/task.toml index 8bcdfaf89ee3c2607ad69ef7c1d7233512bef9f3..8256914b5ab5f713f20a45be237bc9598526481a 100644 --- a/tasks/0088_961_88961970_qa_1/task.toml +++ b/tasks/0088_961_88961970_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "hesh97/titanicdataset-traincsv" gold_answer = "177" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0089_026_89026160_qa_4/task.toml b/tasks/0089_026_89026160_qa_4/task.toml index a0a0720cebf85325612f4d67fe9e6684246ce2bb..f312cf72e7c3719ad8e6d64ae0fde05e0938901f 100644 --- a/tasks/0089_026_89026160_qa_4/task.toml +++ b/tasks/0089_026_89026160_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/pima-indians-diabetes-database" gold_answer = "117.0" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0089_051_89051135_qa_2/task.toml b/tasks/0089_051_89051135_qa_2/task.toml index 5f3ed27899d41768ae9c332f6f9dd38752b8d1dc..a93742aaed17e6b1d87911d74d3a75f65b23edcf 100644 --- a/tasks/0089_051_89051135_qa_2/task.toml +++ b/tasks/0089_051_89051135_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "mirichoi0218/insurance" gold_answer = "smoker" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0090_012_90012642_qa_4/task.toml b/tasks/0090_012_90012642_qa_4/task.toml index 8a97d6b30fc2ed8756315b9296c1d72af83fd5a7..d864f33812d3efd801715f35496e75dbdc8bb440 100644 --- a/tasks/0090_012_90012642_qa_4/task.toml +++ b/tasks/0090_012_90012642_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/breast-cancer-wisconsin-data" gold_answer = "0.85" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0090_327_90327261_qa_5/task.toml b/tasks/0090_327_90327261_qa_5/task.toml index 720dd9753c751c8c9e24cc02732b6a5d473d2b11..6ad396eed67a3426c154eb6e3b083a260559cf01 100644 --- a/tasks/0090_327_90327261_qa_5/task.toml +++ b/tasks/0090_327_90327261_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "primaryobjects/voicegender" gold_answer = "1584 male, 1584 female" reward_mode_initial = "list" package_tier = 2 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0090_428_90428964_qa_4/task.toml b/tasks/0090_428_90428964_qa_4/task.toml index 98f00e5613a0c206fb54e6de779f6b315997c7d6..9c7b40b6fbd5a36da98f088f94c725fbcc92b5a0 100644 --- a/tasks/0090_428_90428964_qa_4/task.toml +++ b/tasks/0090_428_90428964_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "sdolezel/black-friday" gold_answer = "7" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0090_648_90648013_qa_4/task.toml b/tasks/0090_648_90648013_qa_4/task.toml index a092fd230a9626c9bcb9472973d91e1bf9e637b0..fa477db2b20a5ceb56c3cac5c656f9d1f5194dcf 100644 --- a/tasks/0090_648_90648013_qa_4/task.toml +++ b/tasks/0090_648_90648013_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "ankiijindae/imdb-movie-data" gold_answer = "8.5" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0091_212_91212287_qa_3/task.toml b/tasks/0091_212_91212287_qa_3/task.toml index eb92efd748c6d13c30de51001bd686961120b3bf..3b28448586ece0db366ffb56fa369316bf925b23 100644 --- a/tasks/0091_212_91212287_qa_3/task.toml +++ b/tasks/0091_212_91212287_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/pima-indians-diabetes-database" gold_answer = "72" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0091_251_91251894_qa_2/task.toml b/tasks/0091_251_91251894_qa_2/task.toml index e2ea8e10d420dc5e124b32bf35a042892356b3e4..27fbfd4ac19c9ca7de4be43ff73556f17de41154 100644 --- a/tasks/0091_251_91251894_qa_2/task.toml +++ b/tasks/0091_251_91251894_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "joniarroba/noshowappointments" gold_answer = "5" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0091_251_91251894_qa_3/task.toml b/tasks/0091_251_91251894_qa_3/task.toml index 2df0f38e6da15a003c0285b285cd94504a8adf26..84ecb87f84ec49c6f1526cd0d0c5926f45136c6d 100644 --- a/tasks/0091_251_91251894_qa_3/task.toml +++ b/tasks/0091_251_91251894_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "joniarroba/noshowappointments" gold_answer = "6" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0091_584_91584778_qa_3/task.toml b/tasks/0091_584_91584778_qa_3/task.toml index 7c3d1a8e8994584435a5c3f57500d3d82dbfbf8d..5afc5c91cd7286e2072152c25a6456f9be2ce0bc 100644 --- a/tasks/0091_584_91584778_qa_3/task.toml +++ b/tasks/0091_584_91584778_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gregorut/videogamesales" gold_answer = "Wii Sports, 82.74" reward_mode_initial = "list" package_tier = 0 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0091_690_91690951_qa_3/task.toml b/tasks/0091_690_91690951_qa_3/task.toml index 30a3946ef404fc7a0e626c0a722a873f5da0c1eb..f6c11e372831d4db2dee17a0bae05d47e7970226 100644 --- a/tasks/0091_690_91690951_qa_3/task.toml +++ b/tasks/0091_690_91690951_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "mirichoi0218/insurance" gold_answer = "yes" reward_mode_initial = "exact_bool" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0092_376_92376137_qa_3/task.toml b/tasks/0092_376_92376137_qa_3/task.toml index 67d177f9dd935d26045c3fe8778a3acb2af316e3..ae84f410a72f2176d5dad9b40a66cc06f87ea8f0 100644 --- a/tasks/0092_376_92376137_qa_3/task.toml +++ b/tasks/0092_376_92376137_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "benhamner/clinton-trump-tweets" gold_answer = "3226" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0092_637_92637915_qa_4/task.toml b/tasks/0092_637_92637915_qa_4/task.toml index 0ae20acc6c2943ee00152d2c940d47365def6296..3abc1fedf03dc5e8d2154303d8b1aedf63894a80 100644 --- a/tasks/0092_637_92637915_qa_4/task.toml +++ b/tasks/0092_637_92637915_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "mirichoi0218/insurance" gold_answer = "smoker" reward_mode_initial = "exact_short" package_tier = 2 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0092_951_92951855_qa_2/task.toml b/tasks/0092_951_92951855_qa_2/task.toml index 8277674ea3f9bfe69dcbb7850bbfb9d67ee00390..328a7896c927b69b45ccae30aeec913f635ac221 100644 --- a/tasks/0092_951_92951855_qa_2/task.toml +++ b/tasks/0092_951_92951855_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/breast-cancer-wisconsin-data" gold_answer = "145" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0092_990_92990642_qa_2/task.toml b/tasks/0092_990_92990642_qa_2/task.toml index 815a18593db2c6f34d0aa00454cd88ab28f09c60..503154c93954c183a79e8d0ed6b8700a49348b41 100644 --- a/tasks/0092_990_92990642_qa_2/task.toml +++ b/tasks/0092_990_92990642_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "mirichoi0218/insurance" gold_answer = "smoker_yes, bmi_category, age" reward_mode_initial = "list" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0093_185_93185105_qa_4/task.toml b/tasks/0093_185_93185105_qa_4/task.toml index ce16f022ce4c4924649cf2593f1f864ea8840245..d7f90417411bb77c37c2ae7bb852e8451f4e1aae 100644 --- a/tasks/0093_185_93185105_qa_4/task.toml +++ b/tasks/0093_185_93185105_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/pima-indians-diabetes-database" gold_answer = "374" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0093_643_93643564_qa_1/task.toml b/tasks/0093_643_93643564_qa_1/task.toml index f8ae005b6e943ed8f26527da48bfb53c1edd6697..f5a0fac673656217944d7d3449f2c53651d34659 100644 --- a/tasks/0093_643_93643564_qa_1/task.toml +++ b/tasks/0093_643_93643564_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "pavansubhasht/ibm-hr-analytics-attrition-dataset" gold_answer = "16.12" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0093_755_93755212_qa_4/task.toml b/tasks/0093_755_93755212_qa_4/task.toml index fd304bb4fee5194976b586a6f5540236a693b599..fabde5b084bc62eeaa304db9b119b3288a366244 100644 --- a/tasks/0093_755_93755212_qa_4/task.toml +++ b/tasks/0093_755_93755212_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "mirichoi0218/insurance" gold_answer = "63770.428010" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0094_146_94146987_qa_2/task.toml b/tasks/0094_146_94146987_qa_2/task.toml index 97781a5c40c1317f382ac569019f132a8604260a..627495724170098a1a42a4679f9538c2c09b12d1 100644 --- a/tasks/0094_146_94146987_qa_2/task.toml +++ b/tasks/0094_146_94146987_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "edopic/overwatch" gold_answer = "-1.0" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0094_698_94698351_qa_2/task.toml b/tasks/0094_698_94698351_qa_2/task.toml index e049255005e7ea4a449f8e7fd26cc6b530e4d6c6..3bcd43e1b428850c52b8a4bd4502f7dd1b7d3740 100644 --- a/tasks/0094_698_94698351_qa_2/task.toml +++ b/tasks/0094_698_94698351_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gregorut/videogamesales" gold_answer = "0.08" reward_mode_initial = "numeric" package_tier = 3 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0095_053_95053072_qa_1/task.toml b/tasks/0095_053_95053072_qa_1/task.toml index da9ad360ea299e319d46b87edd0e4c9e2aa885d6..36961d0ff943d31a337fa755a1df32d8e22b8fd1 100644 --- a/tasks/0095_053_95053072_qa_1/task.toml +++ b/tasks/0095_053_95053072_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "mirichoi0218/insurance" gold_answer = "0.299008" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0095_339_95339518_qa_4/task.toml b/tasks/0095_339_95339518_qa_4/task.toml index 20dcd9f5e97b9de06a23a7603b7c4c249d39183c..6171042f84ace362e74e12cfa05f0dd295d08329 100644 --- a/tasks/0095_339_95339518_qa_4/task.toml +++ b/tasks/0095_339_95339518_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "overload10/adult-census-dataset" gold_answer = ">40hrs" reward_mode_initial = "exact_short" package_tier = 2 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0095_339_95339518_qa_5/task.toml b/tasks/0095_339_95339518_qa_5/task.toml index e026bca4ee89a8d5b8aa98be13ef42be414deba3..79f02e99e2f53ddc5541f36ff22569ee8097848c 100644 --- a/tasks/0095_339_95339518_qa_5/task.toml +++ b/tasks/0095_339_95339518_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "overload10/adult-census-dataset" gold_answer = "0" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0096_192_96192841_qa_5/task.toml b/tasks/0096_192_96192841_qa_5/task.toml index b41c8f9124a698fc25bee92498b121b4f635410c..50e85b7257c93ad422a568de504dfe7677456b4a 100644 --- a/tasks/0096_192_96192841_qa_5/task.toml +++ b/tasks/0096_192_96192841_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/red-wine-quality-cortez-et-al-2009" gold_answer = "1359" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0097_228_97228368_qa_5/task.toml b/tasks/0097_228_97228368_qa_5/task.toml index b48add707a15aa21c09c2e77534bc169f40c7c39..efad9e338a9ed4b66c5f828df5166a728f43751b 100644 --- a/tasks/0097_228_97228368_qa_5/task.toml +++ b/tasks/0097_228_97228368_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "shwetabh123/mall-customers" gold_answer = "0" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0097_494_97494334_qa_5/task.toml b/tasks/0097_494_97494334_qa_5/task.toml index de67191177f4dd9111d2b2698ed76219aad46ca0..e0bb18236401e5ac9938d0288c11a82197faa4ec 100644 --- a/tasks/0097_494_97494334_qa_5/task.toml +++ b/tasks/0097_494_97494334_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "erikhambardzumyan/pubs" gold_answer = "41.7" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0097_585_97585155_qa_2/task.toml b/tasks/0097_585_97585155_qa_2/task.toml index ee73e5fa6ea66338674e30b65faca7874e7b5924..1c64609afda076e0666148dca3073ae15b8f854e 100644 --- a/tasks/0097_585_97585155_qa_2/task.toml +++ b/tasks/0097_585_97585155_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "pavansubhasht/ibm-hr-analytics-attrition-dataset" gold_answer = "DailyRate, HourlyRate" reward_mode_initial = "list" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0097_585_97585155_qa_3/task.toml b/tasks/0097_585_97585155_qa_3/task.toml index 9efa7656066fb64b6d9b049bc5ef05896036ec52..7712f804bce5ec9887f5ad62b80fe0e0f456365b 100644 --- a/tasks/0097_585_97585155_qa_3/task.toml +++ b/tasks/0097_585_97585155_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "pavansubhasht/ibm-hr-analytics-attrition-dataset" gold_answer = "Research & Development, 961" reward_mode_initial = "list" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0098_017_98017526_qa_4/task.toml b/tasks/0098_017_98017526_qa_4/task.toml index b99b70d554b4ce985402431f389e73d8a2fcf46f..e38eea1dec34916e187f4acf2e007efc09fff76f 100644 --- a/tasks/0098_017_98017526_qa_4/task.toml +++ b/tasks/0098_017_98017526_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gregorut/videogamesales" gold_answer = "Wii Sports, 82.74" reward_mode_initial = "list" package_tier = 0 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0098_340_98340653_qa_5/task.toml b/tasks/0098_340_98340653_qa_5/task.toml index 5caba6dc5650d70565e1448c0fb9d0ce64f7233a..12fdcc899ef18a26a5e57b3c75ffaa43506dac44 100644 --- a/tasks/0098_340_98340653_qa_5/task.toml +++ b/tasks/0098_340_98340653_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "creepyghost/uci-ionosphere" gold_answer = "0.16" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0098_595_98595052_qa_2/task.toml b/tasks/0098_595_98595052_qa_2/task.toml index a829576ed8d199fb28e5be670ebd947a4d130d48..5be6c7c43bab1dc5c4d4b383b60a8dc857bc9884 100644 --- a/tasks/0098_595_98595052_qa_2/task.toml +++ b/tasks/0098_595_98595052_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "iabhishekofficial/mobile-price-classification" gold_answer = "price_range" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0099_589_99589463_qa_4/task.toml b/tasks/0099_589_99589463_qa_4/task.toml index 3ef264c79b1ada3554327666a9f7f7c4fb0972ad..7414245350da441ebfd8346e635131b5c0d310fb 100644 --- a/tasks/0099_589_99589463_qa_4/task.toml +++ b/tasks/0099_589_99589463_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "carrie1/ecommerce-data" gold_answer = "51.00" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0100_352_100352234_qa_5/task.toml b/tasks/0100_352_100352234_qa_5/task.toml index c6c6752c50f9991eb637d47090909acd3ad97af1..147b1b3a357c77c3c5a85360c529b648025bdcf7 100644 --- a/tasks/0100_352_100352234_qa_5/task.toml +++ b/tasks/0100_352_100352234_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "zynicide/wine-reviews" gold_answer = "Reserve" reward_mode_initial = "exact_short" package_tier = 3 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0100_390_100390572_qa_1/task.toml b/tasks/0100_390_100390572_qa_1/task.toml index 1aa42abe399e18d0aee6daae0831f5881bc4817b..4489ae962955fc8fe8cd8634397b1964b57e3bb0 100644 --- a/tasks/0100_390_100390572_qa_1/task.toml +++ b/tasks/0100_390_100390572_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "abcsds/pokemon" gold_answer = "Dragon" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0100_734_100734661_qa_1/task.toml b/tasks/0100_734_100734661_qa_1/task.toml index 557b19c737342bc40b0c93af967442faebb2bc48..49b88697afa16caf6c43659efb1b13b34e52d5f0 100644 --- a/tasks/0100_734_100734661_qa_1/task.toml +++ b/tasks/0100_734_100734661_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/pima-indians-diabetes-database" gold_answer = "34.8958" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0100_900_100900717_qa_5/task.toml b/tasks/0100_900_100900717_qa_5/task.toml index 265d28171f61e01d9d51ea00d31848eced16bc57..9ba4443323d6377f9f614009668e750c34a2e6f7 100644 --- a/tasks/0100_900_100900717_qa_5/task.toml +++ b/tasks/0100_900_100900717_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "andonians/random-linear-regression" gold_answer = "1.00065638" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0101_159_101159435_qa_2/task.toml b/tasks/0101_159_101159435_qa_2/task.toml index b1af4f484e161a0ef9d05fb37c324a027b4481dc..bc4db3d8f6432c9a7c7b99e31eebc0b6249fc722 100644 --- a/tasks/0101_159_101159435_qa_2/task.toml +++ b/tasks/0101_159_101159435_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "kondla/carinsurance" gold_answer = "0.2802" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0101_292_101292104_qa_1/task.toml b/tasks/0101_292_101292104_qa_1/task.toml index 241fd00657b4cbf39eb44377240e08cd374ba769..731fb75f7cd7319ac8969d280c665f7a4b5f8676 100644 --- a/tasks/0101_292_101292104_qa_1/task.toml +++ b/tasks/0101_292_101292104_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "camnugent/california-housing-prices" gold_answer = "<1H OCEAN, 9136" reward_mode_initial = "list" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0101_593_101593150_qa_3/task.toml b/tasks/0101_593_101593150_qa_3/task.toml index ed83d9107333ec237e9ac4aa0302f7367a9a5584..20eba217188596b78afb3b5b9052166666048df2 100644 --- a/tasks/0101_593_101593150_qa_3/task.toml +++ b/tasks/0101_593_101593150_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "rtatman/chocolate-bar-ratings" gold_answer = "74" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0102_526_102526690_qa_2/task.toml b/tasks/0102_526_102526690_qa_2/task.toml index 14c4786dd7e29ab10e8cff9f8e9d3d3422475fbe..8a9e77814ed3c9663bd7d3cbea411357f5249eb9 100644 --- a/tasks/0102_526_102526690_qa_2/task.toml +++ b/tasks/0102_526_102526690_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "piyushgoyal443/red-wine-dataset" gold_answer = "1.0" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0102_526_102526690_qa_3/task.toml b/tasks/0102_526_102526690_qa_3/task.toml index a47a1c0f98662d29417d48c9d7b89e4de985237c..95c1b0c54b0e15296fb343aeef87e281841fa845 100644 --- a/tasks/0102_526_102526690_qa_3/task.toml +++ b/tasks/0102_526_102526690_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "piyushgoyal443/red-wine-dataset" gold_answer = "7.884177" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0103_407_103407932_qa_1/task.toml b/tasks/0103_407_103407932_qa_1/task.toml index 993566ffe95d8cc11be312c3041831b4c6ac5842..3799a0369c674778e1432630c7f5ada650befdfa 100644 --- a/tasks/0103_407_103407932_qa_1/task.toml +++ b/tasks/0103_407_103407932_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "rakannimer/air-passengers" gold_answer = "0.991880" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0103_724_103724181_qa_4/task.toml b/tasks/0103_724_103724181_qa_4/task.toml index 57292b9f26ca4d988358a4f4723becd0c03e9d9e..3a6cad32bb89ab650fe8a1443e174270acf69400 100644 --- a/tasks/0103_724_103724181_qa_4/task.toml +++ b/tasks/0103_724_103724181_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "analystanand/employee-attrition" gold_answer = "low" reward_mode_initial = "exact_short" package_tier = 2 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0104_143_104143863_qa_3/task.toml b/tasks/0104_143_104143863_qa_3/task.toml index 77ba2c1385014290ad505b62486d082a28badebd..2ace44d4c7c9eafd3cd4f994851bd80d89dabf02 100644 --- a/tasks/0104_143_104143863_qa_3/task.toml +++ b/tasks/0104_143_104143863_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "blastchar/telco-customer-churn" gold_answer = "0, 2" reward_mode_initial = "list" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0104_391_104391116_qa_1/task.toml b/tasks/0104_391_104391116_qa_1/task.toml index da78c2475d72ee26ecd9ad86bec6c8ef1b8d448e..e4ca38711c48a27e10e4679a22313a7e72760026 100644 --- a/tasks/0104_391_104391116_qa_1/task.toml +++ b/tasks/0104_391_104391116_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "shivam2503/diamonds" gold_answer = "Premium" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0105_059_105059592_qa_2/task.toml b/tasks/0105_059_105059592_qa_2/task.toml index 6e7472c341b645cd108d08ac917297faad161e6b..73988bc108ac7fb1b3e5bd54e9889b42def33270 100644 --- a/tasks/0105_059_105059592_qa_2/task.toml +++ b/tasks/0105_059_105059592_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "blastchar/telco-customer-churn" gold_answer = "11" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0105_059_105059592_qa_4/task.toml b/tasks/0105_059_105059592_qa_4/task.toml index f16215e40d613831e9333ed9b23895e56645036e..b798602361246aaf9d25be41b7f1a958734bce3a 100644 --- a/tasks/0105_059_105059592_qa_4/task.toml +++ b/tasks/0105_059_105059592_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "blastchar/telco-customer-churn" gold_answer = "4" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0105_059_105059592_qa_5/task.toml b/tasks/0105_059_105059592_qa_5/task.toml index 1b6f13d53002d1cbab96c5de2715f11f720b957c..63555fedf19b892264884e41de3729a41147addf 100644 --- a/tasks/0105_059_105059592_qa_5/task.toml +++ b/tasks/0105_059_105059592_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "blastchar/telco-customer-churn" gold_answer = "5163" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0105_060_105060710_qa_5/task.toml b/tasks/0105_060_105060710_qa_5/task.toml index cd2b0f3457cc1a0112d4621a8c63e44e54018466..2c4fbf803ba5c68d2d0cc4fa26d9a869c14d5159 100644 --- a/tasks/0105_060_105060710_qa_5/task.toml +++ b/tasks/0105_060_105060710_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "camnugent/california-housing-prices" gold_answer = "3019" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0106_409_106409576_qa_3/task.toml b/tasks/0106_409_106409576_qa_3/task.toml index c485e63de295482e041eedb1a68297386b154be2..3ecaefbf7b08f3a602df2b0640b806131534188f 100644 --- a/tasks/0106_409_106409576_qa_3/task.toml +++ b/tasks/0106_409_106409576_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/iris" gold_answer = "Logistic Regression" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0106_481_106481442_qa_3/task.toml b/tasks/0106_481_106481442_qa_3/task.toml index caa63d1c5d817ecb6ab784e79fe40ac84d274327..9bcca1f9f7c1fc5f1242c92eda0bf0438a929a70 100644 --- a/tasks/0106_481_106481442_qa_3/task.toml +++ b/tasks/0106_481_106481442_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/red-wine-quality-cortez-et-al-2009" gold_answer = "13.597477858782154" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0106_490_106490644_qa_3/task.toml b/tasks/0106_490_106490644_qa_3/task.toml index cb0474b38421e9cbb4412a565eb990e836d29fde..23189f153e24a1af25c67b3873d5b02709853e41 100644 --- a/tasks/0106_490_106490644_qa_3/task.toml +++ b/tasks/0106_490_106490644_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/default-of-credit-card-clients-dataset" gold_answer = "Single" reward_mode_initial = "exact_short" package_tier = 0 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0106_674_106674377_qa_1/task.toml b/tasks/0106_674_106674377_qa_1/task.toml index 90b5cf9501c182f8fb541dad85dec9221317aade..99ebd4df7cbe0f6365bdc869af48938fbc8f9994 100644 --- a/tasks/0106_674_106674377_qa_1/task.toml +++ b/tasks/0106_674_106674377_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "kumarajarshi/life-expectancy-who" gold_answer = "69.22" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0106_910_106910324_qa_3/task.toml b/tasks/0106_910_106910324_qa_3/task.toml index 8425188d6420d1616a5ddeda356e1606c919b41b..70c2cafefb230b295faafb80405d343b2f0e04f1 100644 --- a/tasks/0106_910_106910324_qa_3/task.toml +++ b/tasks/0106_910_106910324_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "sdolezel/black-friday" gold_answer = "233599" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0106_911_106911187_qa_5/task.toml b/tasks/0106_911_106911187_qa_5/task.toml index 16432e1a6443cc6e3f4241fdabd6c4975819e831..971eda204ba98ca6a307762e12b65397bc127ef8 100644 --- a/tasks/0106_911_106911187_qa_5/task.toml +++ b/tasks/0106_911_106911187_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "kumargh/pimaindiansdiabetescsv" gold_answer = "36.6" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0106_933_106933480_qa_2/task.toml b/tasks/0106_933_106933480_qa_2/task.toml index bfce831f24d98eabe0bd94a4faa7b9324a3bd07c..cebbd1836c4c2708b60e98f53148d09532f6c020 100644 --- a/tasks/0106_933_106933480_qa_2/task.toml +++ b/tasks/0106_933_106933480_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/red-wine-quality-cortez-et-al-2009" gold_answer = "0.476166" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0107_060_107060186_qa_5/task.toml b/tasks/0107_060_107060186_qa_5/task.toml index bf7de70978c76215111413d130effc16bb5d0978..a008494b0b7d669609be10618b169fa03db816ed 100644 --- a/tasks/0107_060_107060186_qa_5/task.toml +++ b/tasks/0107_060_107060186_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "blastchar/telco-customer-churn" gold_answer = "Contract" reward_mode_initial = "exact_short" package_tier = 2 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0107_427_107427822_qa_3/task.toml b/tasks/0107_427_107427822_qa_3/task.toml index 59a9d3e768d2f0980f34b03fd80e6bcd6682fb14..78610e09ea5630a494fbc66a80936eb3ddb84837 100644 --- a/tasks/0107_427_107427822_qa_3/task.toml +++ b/tasks/0107_427_107427822_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "blastchar/telco-customer-churn" gold_answer = "Electronic check" reward_mode_initial = "exact_short" package_tier = 2 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0107_427_107427822_qa_5/task.toml b/tasks/0107_427_107427822_qa_5/task.toml index 0547c65af2f7b6b645c2c4e0d68e8b1e63454ef2..64223ed20986a3b0c63563029701d9b25d0df440 100644 --- a/tasks/0107_427_107427822_qa_5/task.toml +++ b/tasks/0107_427_107427822_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "blastchar/telco-customer-churn" gold_answer = "18.1" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0107_517_107517636_qa_3/task.toml b/tasks/0107_517_107517636_qa_3/task.toml index 7003b2858d8e42ba1c66c7dcd2a3f871920897ce..bff861dbaa5295248c3916944385351cfe68f09e 100644 --- a/tasks/0107_517_107517636_qa_3/task.toml +++ b/tasks/0107_517_107517636_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gregorut/videogamesales" gold_answer = "271" reward_mode_initial = "numeric" package_tier = 0 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0108_184_108184818_qa_3/task.toml b/tasks/0108_184_108184818_qa_3/task.toml index ae8b8d60448341184c8843b493985e543917f9c3..7cd167b7534baeafcb893d0162a27a2754e91ff3 100644 --- a/tasks/0108_184_108184818_qa_3/task.toml +++ b/tasks/0108_184_108184818_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/mushroom-classification" gold_answer = "woods" reward_mode_initial = "exact_short" package_tier = 2 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0108_197_108197253_qa_1/task.toml b/tasks/0108_197_108197253_qa_1/task.toml index 6c80a56245ad36777321b1dc87200b81c47e86a8..cea8c3343432bd6d7ec6bedf8813355624dd34bf 100644 --- a/tasks/0108_197_108197253_qa_1/task.toml +++ b/tasks/0108_197_108197253_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/breast-cancer-wisconsin-data" gold_answer = "7" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0108_225_108225204_qa_2/task.toml b/tasks/0108_225_108225204_qa_2/task.toml index 3dd83af3dc92ae29d27e703d9509a5f38c9a0373..92429fd28a4b70502e14b97d6d0914e2e7cfa28c 100644 --- a/tasks/0108_225_108225204_qa_2/task.toml +++ b/tasks/0108_225_108225204_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/iris" gold_answer = "4" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0108_363_108363990_qa_2/task.toml b/tasks/0108_363_108363990_qa_2/task.toml index 048b14f1ebc74f6f64274a4d681026c0af5ba164..dd1919348e658aa5c1670edf739a1f809b28e1ef 100644 --- a/tasks/0108_363_108363990_qa_2/task.toml +++ b/tasks/0108_363_108363990_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "ananthreddy/housing" gold_answer = "driveway" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0108_423_108423455_qa_3/task.toml b/tasks/0108_423_108423455_qa_3/task.toml index 7e2c49c9ed133b685babc711424f008e4acf15c1..7875f09f721614987c98d8e1ff235ebfc00a85ad 100644 --- a/tasks/0108_423_108423455_qa_3/task.toml +++ b/tasks/0108_423_108423455_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "mirichoi0218/insurance" gold_answer = "53.13" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0108_423_108423455_qa_4/task.toml b/tasks/0108_423_108423455_qa_4/task.toml index f323e7977ec868c0955dfdda81eb171c1d66a426..c24af87013d74a8b19626b169dd6ce7e3b5592cd 100644 --- a/tasks/0108_423_108423455_qa_4/task.toml +++ b/tasks/0108_423_108423455_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "mirichoi0218/insurance" gold_answer = "0 to 5" reward_mode_initial = "exact_short" package_tier = 2 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0108_423_108423455_qa_5/task.toml b/tasks/0108_423_108423455_qa_5/task.toml index 00ee6aca912b75e69f4d8839a6f153706f4749b6..f4c66db70d97aeea0dc8b76135ab57c2d21eb742 100644 --- a/tasks/0108_423_108423455_qa_5/task.toml +++ b/tasks/0108_423_108423455_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "mirichoi0218/insurance" gold_answer = "6.098" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0108_986_108986276_qa_1/task.toml b/tasks/0108_986_108986276_qa_1/task.toml index d1348a01ea7b986fd7c338ad510fe7237bdc17c3..abb7e7def1230146c2cf13395d5908648fd838c0 100644 --- a/tasks/0108_986_108986276_qa_1/task.toml +++ b/tasks/0108_986_108986276_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/breast-cancer-wisconsin-data" gold_answer = "concave points_worst, perimeter_worst" reward_mode_initial = "list" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0109_165_109165906_qa_3/task.toml b/tasks/0109_165_109165906_qa_3/task.toml index ade4961582f4fc46bd8d7780e39764d343f5ae00..5bf341e9753931191600a7c62a1fe5caaf519c7d 100644 --- a/tasks/0109_165_109165906_qa_3/task.toml +++ b/tasks/0109_165_109165906_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gregorut/videogamesales" gold_answer = "50.48" reward_mode_initial = "numeric" package_tier = 3 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0109_303_109303873_qa_5/task.toml b/tasks/0109_303_109303873_qa_5/task.toml index 9d20624980ee0dde09166b9878cfd05f8af51c09..b963ea6d5aa1316b836672b73b37e7164002ae14 100644 --- a/tasks/0109_303_109303873_qa_5/task.toml +++ b/tasks/0109_303_109303873_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "rounakbanik/pokemon" gold_answer = "65" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0109_469_109469247_qa_3/task.toml b/tasks/0109_469_109469247_qa_3/task.toml index 14eacca1aff40c38f027041eacca0da160575b1d..e74f4244ff1692712ae642d4a500af66715d8c64 100644 --- a/tasks/0109_469_109469247_qa_3/task.toml +++ b/tasks/0109_469_109469247_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "rakannimer/air-passengers" gold_answer = "-2.8861509858476264" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0109_958_109958191_qa_4/task.toml b/tasks/0109_958_109958191_qa_4/task.toml index 30dfce3cac938ecba6c3ebb041d050c6820607da..f1adc71fb3d368fb5b4fa707d97f74cca5016acf 100644 --- a/tasks/0109_958_109958191_qa_4/task.toml +++ b/tasks/0109_958_109958191_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gilsousa/habermans-survival-data-set" gold_answer = "0.3" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0110_384_110384053_qa_4/task.toml b/tasks/0110_384_110384053_qa_4/task.toml index 9849629dc149c5d2ad4d63a48bde6734e986cbfc..0d16dc11558434ad7fd0e817eb04425ce7c9f4c9 100644 --- a/tasks/0110_384_110384053_qa_4/task.toml +++ b/tasks/0110_384_110384053_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "anu0012/hotel-review" gold_answer = "11" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0110_432_110432344_qa_3/task.toml b/tasks/0110_432_110432344_qa_3/task.toml index da32406ac5ab247cb9ee079480b5dee5e9983b3a..824099a1b7f1749a9f468b568e9067ce7252bcc2 100644 --- a/tasks/0110_432_110432344_qa_3/task.toml +++ b/tasks/0110_432_110432344_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "txtrouble/carbon-emissions" gold_answer = "Coal Electric Power Sector CO2 Emissions" reward_mode_initial = "exact_short" package_tier = 0 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0110_464_110464682_qa_2/task.toml b/tasks/0110_464_110464682_qa_2/task.toml index e8e96e5b013f222f96e5819d3a2958e9ec8f4048..5b5e4c9a2161d6dc6162943e099fb20a380c402c 100644 --- a/tasks/0110_464_110464682_qa_2/task.toml +++ b/tasks/0110_464_110464682_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "crawford/80-cereals" gold_answer = "14.5974" reward_mode_initial = "numeric" package_tier = 0 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0110_615_110615404_qa_2/task.toml b/tasks/0110_615_110615404_qa_2/task.toml index 044ff713facaac46852a440068e1bc99cfb129b1..f765404ec6702de99bcb910899c12d565f9289a6 100644 --- a/tasks/0110_615_110615404_qa_2/task.toml +++ b/tasks/0110_615_110615404_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/iris" gold_answer = "Iris-virginica" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0110_622_110622713_qa_2/task.toml b/tasks/0110_622_110622713_qa_2/task.toml index 36db2eb05804bd50883d73eddd464cabf7c3c21e..616594e679ba8fc469e0dd798af36a9e967a50c4 100644 --- a/tasks/0110_622_110622713_qa_2/task.toml +++ b/tasks/0110_622_110622713_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/breast-cancer-wisconsin-data" gold_answer = "0.793566" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0110_664_110664620_qa_2/task.toml b/tasks/0110_664_110664620_qa_2/task.toml index ff0058bb1c99b0e8677db625398bce1aa4f2bfbf..a09dcb565fc137541c154edc066154d662d41bb4 100644 --- a/tasks/0110_664_110664620_qa_2/task.toml +++ b/tasks/0110_664_110664620_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gregorut/videogamesales" gold_answer = "50.47" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0110_717_110717363_qa_1/task.toml b/tasks/0110_717_110717363_qa_1/task.toml index 046caff61d2ddcf6c3fed4e94fbeb340be969c54..42c8986e615f7eabbf8608b1d7864352a4d72d99 100644 --- a/tasks/0110_717_110717363_qa_1/task.toml +++ b/tasks/0110_717_110717363_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/iris" gold_answer = "7.9" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0111_875_111875662_qa_1/task.toml b/tasks/0111_875_111875662_qa_1/task.toml index 18c4e60c7eb653851a69f712ae708e432d3d008f..1dc4fa5c46442ccfe40e32762c678317303c270d 100644 --- a/tasks/0111_875_111875662_qa_1/task.toml +++ b/tasks/0111_875_111875662_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "kedokedokedo/vgsales" gold_answer = "82.74" reward_mode_initial = "numeric" package_tier = 0 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0112_118_112118657_qa_3/task.toml b/tasks/0112_118_112118657_qa_3/task.toml index b0a2e72692f278ee67c5c7acc7d67a3e87b27eb5..09bbc09049980e3a9d0a228c364ff8412b42d01f 100644 --- a/tasks/0112_118_112118657_qa_3/task.toml +++ b/tasks/0112_118_112118657_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "camnugent/california-housing-prices" gold_answer = "500001" reward_mode_initial = "numeric" package_tier = 0 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0112_533_112533086_qa_5/task.toml b/tasks/0112_533_112533086_qa_5/task.toml index 94218b65ea41d08cffb5d9d5b99239e33b1a3dc7..c908c7d0e6d9ba6f8a482ff6edbacc29ff1bcaa7 100644 --- a/tasks/0112_533_112533086_qa_5/task.toml +++ b/tasks/0112_533_112533086_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "blastchar/telco-customer-churn" gold_answer = "41.6813" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0112_536_112536664_qa_5/task.toml b/tasks/0112_536_112536664_qa_5/task.toml index 278f58374e14e8ec34499ac64cf0463854a57345..a8958f6737bc4cb2ab2619ef904c7ec69159c7ca 100644 --- a/tasks/0112_536_112536664_qa_5/task.toml +++ b/tasks/0112_536_112536664_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "harlfoxem/housesalesprediction" gold_answer = "2" reward_mode_initial = "numeric" package_tier = 0 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0112_599_112599544_qa_2/task.toml b/tasks/0112_599_112599544_qa_2/task.toml index 57009a4bf3bfe174c09d6bffa7ca58d51becd335..51dbc977ca0b101e3a0643eae584b6af00856346 100644 --- a/tasks/0112_599_112599544_qa_2/task.toml +++ b/tasks/0112_599_112599544_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "iabhishekofficial/mobile-price-classification" gold_answer = "1084.732044" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0112_804_112804674_qa_3/task.toml b/tasks/0112_804_112804674_qa_3/task.toml index d8018c35005857192cafdb2e5f66eb5489ab20d8..54d2acfacf92e83f62a0e3767ec63e1607781c9f 100644 --- a/tasks/0112_804_112804674_qa_3/task.toml +++ b/tasks/0112_804_112804674_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "osmi/mental-health-in-tech-survey" gold_answer = "North America" reward_mode_initial = "exact_short" package_tier = 3 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0113_130_113130564_qa_2/task.toml b/tasks/0113_130_113130564_qa_2/task.toml index 5ee092f017cc428ac2ec8a2d46cb27ebbd5d8a41..c0484dec7e657e3dfd9b93afe13bbfbbe597ae25 100644 --- a/tasks/0113_130_113130564_qa_2/task.toml +++ b/tasks/0113_130_113130564_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "rtatman/did-it-rain-in-seattle-19482017" gold_answer = "1950" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0113_246_113246154_qa_3/task.toml b/tasks/0113_246_113246154_qa_3/task.toml index b5568d5a6deaebcde26e7d7a0ad07942c3717290..e7b9718b61ca7e97183a92b1641833111e8068cf 100644 --- a/tasks/0113_246_113246154_qa_3/task.toml +++ b/tasks/0113_246_113246154_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "camnugent/california-housing-prices" gold_answer = "16512" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0113_346_113346497_qa_3/task.toml b/tasks/0113_346_113346497_qa_3/task.toml index 1334e9e85f8cf7a53665e9998744f970badf0cd7..74b82f29a87f9ce5e3f296206eda66f2981b5256 100644 --- a/tasks/0113_346_113346497_qa_3/task.toml +++ b/tasks/0113_346_113346497_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "hugomathien/soccer" gold_answer = "Lionel Messi, 94" reward_mode_initial = "list" package_tier = 3 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0113_633_113633083_qa_3/task.toml b/tasks/0113_633_113633083_qa_3/task.toml index ddb9828a3a914265f7fe1a701d34d8ec254cfe6d..a1caccedd1c2cb03643b067850322ea14724709b 100644 --- a/tasks/0113_633_113633083_qa_3/task.toml +++ b/tasks/0113_633_113633083_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/mushroom-classification" gold_answer = "white" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0113_657_113657881_qa_3/task.toml b/tasks/0113_657_113657881_qa_3/task.toml index 4988afc3bb8ca473c81abdeca071af7911a303ec..0efe2d9f519bcfcdf160b972fc191087e5ae81bf 100644 --- a/tasks/0113_657_113657881_qa_3/task.toml +++ b/tasks/0113_657_113657881_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/iris" gold_answer = "0, 1, 2" reward_mode_initial = "list" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0113_694_113694619_qa_4/task.toml b/tasks/0113_694_113694619_qa_4/task.toml index 1a7ddf210e8a201e8845effb343605430f3e8096..33f48cd3be854df12ee988687d13c5be5db411f6 100644 --- a/tasks/0113_694_113694619_qa_4/task.toml +++ b/tasks/0113_694_113694619_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "mirichoi0218/insurance" gold_answer = "12.5" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0114_161_114161356_qa_4/task.toml b/tasks/0114_161_114161356_qa_4/task.toml index 9e6e70ddc5f9bd782da4dada5c83b002f9ebd432..602d6bc5efa4e8c4f87754ab9200923a5aa5311b 100644 --- a/tasks/0114_161_114161356_qa_4/task.toml +++ b/tasks/0114_161_114161356_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gregorut/videogamesales" gold_answer = "Sports" reward_mode_initial = "exact_short" package_tier = 0 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0114_365_114365503_qa_5/task.toml b/tasks/0114_365_114365503_qa_5/task.toml index feeae21952e75cd604aed3586cbc502451c19dbc..2302f2b2f897883a82ea07d04bb5f68cc8cb69ec 100644 --- a/tasks/0114_365_114365503_qa_5/task.toml +++ b/tasks/0114_365_114365503_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "dgawlik/nyse" gold_answer = "2001894.0" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0114_582_114582781_qa_1/task.toml b/tasks/0114_582_114582781_qa_1/task.toml index 99f5a3e03d7fe9ae3292e18bcbd254df4219199f..4a5911c8e5d6ec5a577ca4b5230ea612af253e15 100644 --- a/tasks/0114_582_114582781_qa_1/task.toml +++ b/tasks/0114_582_114582781_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "mirichoi0218/insurance" gold_answer = "0.7497" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0114_928_114928761_qa_2/task.toml b/tasks/0114_928_114928761_qa_2/task.toml index be3d3664297d177c26760aa84e46a0904b01a56b..ac06199697a8af691cd3747c32204b14050e283e 100644 --- a/tasks/0114_928_114928761_qa_2/task.toml +++ b/tasks/0114_928_114928761_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/pima-indians-diabetes-database" gold_answer = "154" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0115_105_115105744_qa_2/task.toml b/tasks/0115_105_115105744_qa_2/task.toml index 474dda788642c227e474fd71163f23725cb31855..b9aa56af5456dd943935f54a7edd780b506fc65c 100644 --- a/tasks/0115_105_115105744_qa_2/task.toml +++ b/tasks/0115_105_115105744_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "iabhishekofficial/mobile-price-classification" gold_answer = "ram" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0115_350_115350781_qa_2/task.toml b/tasks/0115_350_115350781_qa_2/task.toml index 7ae3dde75fe2ea1386009a9267c667b4a3b45c9f..804970252fd54c6fdeb9d14f52a25b5e8eebeb00 100644 --- a/tasks/0115_350_115350781_qa_2/task.toml +++ b/tasks/0115_350_115350781_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gregorut/videogamesales" gold_answer = "Action, 3316" reward_mode_initial = "list" package_tier = 0 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0115_907_115907821_qa_2/task.toml b/tasks/0115_907_115907821_qa_2/task.toml index 19c5ede5339796e2d22b9d9a30e92ef7d1155255..e06f75cfa8dce5ea1efe258b67a791ca11abdf85 100644 --- a/tasks/0115_907_115907821_qa_2/task.toml +++ b/tasks/0115_907_115907821_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gregorut/videogamesales" gold_answer = "8920.44" reward_mode_initial = "numeric" package_tier = 0 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0115_907_115907821_qa_5/task.toml b/tasks/0115_907_115907821_qa_5/task.toml index 4e500c3222fe0714efd3c09a1b33a891c8dafe26..3d4f90a52254016824c9f80494dc2aceba8dc043 100644 --- a/tasks/0115_907_115907821_qa_5/task.toml +++ b/tasks/0115_907_115907821_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gregorut/videogamesales" gold_answer = "31.37" reward_mode_initial = "numeric" package_tier = 0 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0116_220_116220361_qa_4/task.toml b/tasks/0116_220_116220361_qa_4/task.toml index 6048bdd4b8edd505e832b5d0351c294d40f87657..f77c544a97e8ec387097d2a151511db2e4499335 100644 --- a/tasks/0116_220_116220361_qa_4/task.toml +++ b/tasks/0116_220_116220361_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gregorut/videogamesales" gold_answer = "42.5" reward_mode_initial = "numeric" package_tier = 0 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0116_436_116436448_qa_2/task.toml b/tasks/0116_436_116436448_qa_2/task.toml index 69930291c0c0ba2cba831c404c3a9cd1b64539a1..1b417efe1848742370641feef2a385afa4754c58 100644 --- a/tasks/0116_436_116436448_qa_2/task.toml +++ b/tasks/0116_436_116436448_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "aaronschlegel/austin-animal-center-shelter-outcomes-and" gold_answer = "Adoption" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0116_436_116436448_qa_5/task.toml b/tasks/0116_436_116436448_qa_5/task.toml index fc2877434a9871d55856a7628fecd1578ad1a4cd..5fdd27aba02915a27be007d04d43d15c37868ba5 100644 --- a/tasks/0116_436_116436448_qa_5/task.toml +++ b/tasks/0116_436_116436448_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "aaronschlegel/austin-animal-center-shelter-outcomes-and" gold_answer = "Dog" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0116_564_116564780_qa_4/task.toml b/tasks/0116_564_116564780_qa_4/task.toml index 1c81c94091266d66cae5ac6a8ad0fcf54ae747ec..70254482fe7f2eedb28137641b1b9ce0cd6351c5 100644 --- a/tasks/0116_564_116564780_qa_4/task.toml +++ b/tasks/0116_564_116564780_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/red-wine-quality-cortez-et-al-2009" gold_answer = "3" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0116_621_116621192_qa_4/task.toml b/tasks/0116_621_116621192_qa_4/task.toml index 4807b5b2fa5a3020a54d463042c39c70e02799c7..9656b7169ba41fdd522f1bd52d2f3157c7255127 100644 --- a/tasks/0116_621_116621192_qa_4/task.toml +++ b/tasks/0116_621_116621192_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gregorut/videogamesales" gold_answer = "Sports" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0116_643_116643019_qa_4/task.toml b/tasks/0116_643_116643019_qa_4/task.toml index ef25f6478f1bce9a920b1a1a71d7ce927f750004..806e680342db1b5966ead829104ee1ca4d122892 100644 --- a/tasks/0116_643_116643019_qa_4/task.toml +++ b/tasks/0116_643_116643019_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gregorut/videogamesales" gold_answer = "no" reward_mode_initial = "exact_bool" package_tier = 0 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0116_897_116897141_qa_3/task.toml b/tasks/0116_897_116897141_qa_3/task.toml index 23c33a0c8d93946022afb66dd53f4e722d558faa..223775a1505b227918b93f8c466df1021ff5f64e 100644 --- a/tasks/0116_897_116897141_qa_3/task.toml +++ b/tasks/0116_897_116897141_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "camnugent/california-housing-prices" gold_answer = "207" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0117_519_117519892_qa_1/task.toml b/tasks/0117_519_117519892_qa_1/task.toml index d9843c8642af2e14f9c5a11db0bf391e03fd7cf9..34aa09a12299d765a6016eb7a1fc96d0b0b3259a 100644 --- a/tasks/0117_519_117519892_qa_1/task.toml +++ b/tasks/0117_519_117519892_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gregorut/videogamesales" gold_answer = "3316" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0118_360_118360203_qa_5/task.toml b/tasks/0118_360_118360203_qa_5/task.toml index 981b8cfd45552eef7367602003fcaea077a97499..02e141fc430a1808ff53dd4a993aae39e13f0663 100644 --- a/tasks/0118_360_118360203_qa_5/task.toml +++ b/tasks/0118_360_118360203_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "iabhishekofficial/mobile-price-classification" gold_answer = "1960" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0118_567_118567628_qa_5/task.toml b/tasks/0118_567_118567628_qa_5/task.toml index d9de0b05825cea6a05aeadb19b6ab0e02092a8af..21aaca0fc45db392dc1f6a9210516fbb5ad3d964 100644 --- a/tasks/0118_567_118567628_qa_5/task.toml +++ b/tasks/0118_567_118567628_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "devashish0507/big-mart-sales-prediction" gold_answer = "2181.288914" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0118_722_118722407_qa_2/task.toml b/tasks/0118_722_118722407_qa_2/task.toml index e1d34cedba031434472475bb142b2c6e50b7a65a..7ca938566f7b0934d95ca3a58641c14fd4b907ec 100644 --- a/tasks/0118_722_118722407_qa_2/task.toml +++ b/tasks/0118_722_118722407_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "carrie1/ecommerce-data" gold_answer = "yes" reward_mode_initial = "exact_bool" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0118_978_118978270_qa_3/task.toml b/tasks/0118_978_118978270_qa_3/task.toml index 0f392f08446c6ec3053a4d56a0588daa59f1cf5b..abed7ca227a6db16c5dda74d54932f7ab3553581 100644 --- a/tasks/0118_978_118978270_qa_3/task.toml +++ b/tasks/0118_978_118978270_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/pima-indians-diabetes-database" gold_answer = "Glucose" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0119_289_119289330_qa_4/task.toml b/tasks/0119_289_119289330_qa_4/task.toml index 6587224e09a978b4b0c88e03a82e051c2abd56f6..044f230046f1b1f4193c03b94b734d80e485780b 100644 --- a/tasks/0119_289_119289330_qa_4/task.toml +++ b/tasks/0119_289_119289330_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "brijbhushannanda1979/bigmart-sales-data" gold_answer = "140.99" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0119_313_119313422_qa_1/task.toml b/tasks/0119_313_119313422_qa_1/task.toml index b243591030eff05c2909b1f5b3f4ff8daf280994..ca9b9eb2a3df39ca5d8845b7992c5295ed012bfe 100644 --- a/tasks/0119_313_119313422_qa_1/task.toml +++ b/tasks/0119_313_119313422_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "hb20007/gender-classification" gold_answer = "Cool" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0119_783_119783005_qa_5/task.toml b/tasks/0119_783_119783005_qa_5/task.toml index b76d676dc3d60ab81609cbb5f8a23c8163b0c8c8..affd8bc6e3cb82c4cbeb719652b143e3d7ca6c78 100644 --- a/tasks/0119_783_119783005_qa_5/task.toml +++ b/tasks/0119_783_119783005_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "nicapotato/womens-ecommerce-clothing-reviews" gold_answer = "38628" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0119_931_119931935_qa_1/task.toml b/tasks/0119_931_119931935_qa_1/task.toml index f54eeada1a2438010af0e15fd7bbc079f0dc0786..88c3e8c1292390793173149f337b955f5161f695 100644 --- a/tasks/0119_931_119931935_qa_1/task.toml +++ b/tasks/0119_931_119931935_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/pima-indians-diabetes-database" gold_answer = "Glucose" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0120_295_120295119_qa_2/task.toml b/tasks/0120_295_120295119_qa_2/task.toml index 55fd2e0a9e7fe3095ab36a142fcbd56c09708358..b43b798bd1f3bf2925283a558106dc45d8ea174f 100644 --- a/tasks/0120_295_120295119_qa_2/task.toml +++ b/tasks/0120_295_120295119_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/iris" gold_answer = "PetalLengthCm, PetalWidthCm" reward_mode_initial = "list" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0120_295_120295119_qa_5/task.toml b/tasks/0120_295_120295119_qa_5/task.toml index 3f1cc31703f0b322ba07730bdd30ae8d264fe322..9119b6267a432468e41cc8489ecc3374177048c8 100644 --- a/tasks/0120_295_120295119_qa_5/task.toml +++ b/tasks/0120_295_120295119_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/iris" gold_answer = "2" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0120_387_120387726_qa_1/task.toml b/tasks/0120_387_120387726_qa_1/task.toml index 4a916490ebc4148c3faed2258af7a3092f829c85..5a1173e0537c18b99f85cae8652771c005b5dfa9 100644 --- a/tasks/0120_387_120387726_qa_1/task.toml +++ b/tasks/0120_387_120387726_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "camnugent/california-housing-prices" gold_answer = "0.688075" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0120_783_120783348_qa_3/task.toml b/tasks/0120_783_120783348_qa_3/task.toml index 211f8f10ae0bedf5177fc0f8ea2ea944edef6512..32a137a53c6069cef27d4384e44832d192f3f6fe 100644 --- a/tasks/0120_783_120783348_qa_3/task.toml +++ b/tasks/0120_783_120783348_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "rakeshrau/social-network-ads" gold_answer = "K=11, 0.89" reward_mode_initial = "list" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0120_952_120952804_qa_4/task.toml b/tasks/0120_952_120952804_qa_4/task.toml index 5b97f3c20b5bab969b5a11fd2439bc14e9d74a93..a24b247b5ce847b1ba3d4e62f3a1dec414a636b9 100644 --- a/tasks/0120_952_120952804_qa_4/task.toml +++ b/tasks/0120_952_120952804_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "kwullum/fatal-police-shootings-in-the-us" gold_answer = "Shot" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0121_396_121396365_qa_2/task.toml b/tasks/0121_396_121396365_qa_2/task.toml index 7a60e13a6182178d04de4e0d6c1ea477ff399753..03c986953c049cc3d19d297b4bf07fd9dac48c61 100644 --- a/tasks/0121_396_121396365_qa_2/task.toml +++ b/tasks/0121_396_121396365_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "pavansubhasht/ibm-hr-analytics-attrition-dataset" gold_answer = "EmployeeNumber, EmployeeCount, Over18, StandardHours" reward_mode_initial = "list" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0121_468_121468055_qa_4/task.toml b/tasks/0121_468_121468055_qa_4/task.toml index 46fdfdaf569603431e4bec5b8088da9b2a64fd1f..caa05451ce06f4f4a86b5be716e5ce3056505ab1 100644 --- a/tasks/0121_468_121468055_qa_4/task.toml +++ b/tasks/0121_468_121468055_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/iris" gold_answer = "3" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0121_588_121588240_qa_1/task.toml b/tasks/0121_588_121588240_qa_1/task.toml index bd06df92418c93c49369c6ef7980f0949d164fbc..f0d96a486201b54b79ab31fb8cc16e071cb598b9 100644 --- a/tasks/0121_588_121588240_qa_1/task.toml +++ b/tasks/0121_588_121588240_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/iris" gold_answer = "PetalLengthCm" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0121_738_121738149_qa_3/task.toml b/tasks/0121_738_121738149_qa_3/task.toml index b7c3a99c3ecfcad9a9a8276b4a81748b1955e32b..5553bc7d29355f2fbffb5cbc04cee914d06b2e1e 100644 --- a/tasks/0121_738_121738149_qa_3/task.toml +++ b/tasks/0121_738_121738149_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "kiva/data-science-for-good-kiva-crowdfunding" gold_answer = "PHP, 160440" reward_mode_initial = "list" package_tier = 2 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0121_738_121738149_qa_5/task.toml b/tasks/0121_738_121738149_qa_5/task.toml index a6c5c7fe85c13b0eb26b3064709566661f9401ca..e37fe3c6438102371b074f217f18e7a95b94453e 100644 --- a/tasks/0121_738_121738149_qa_5/task.toml +++ b/tasks/0121_738_121738149_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "kiva/data-science-for-good-kiva-crowdfunding" gold_answer = "Agriculture" reward_mode_initial = "exact_short" package_tier = 2 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0121_801_121801511_qa_4/task.toml b/tasks/0121_801_121801511_qa_4/task.toml index 49294af870e4cdc90cb74f135af5fc3a359b0aa9..1d7b868a32ba492a917e98fc007ee8327168b3f2 100644 --- a/tasks/0121_801_121801511_qa_4/task.toml +++ b/tasks/0121_801_121801511_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "blastchar/telco-customer-churn" gold_answer = "11.56" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0121_895_121895900_qa_2/task.toml b/tasks/0121_895_121895900_qa_2/task.toml index 70c4ab64d66770f5a99bf64d0ce10cc737f4ad9b..bb1bbc4faf17e8a17e304cfc2d62d7f9acf3498a 100644 --- a/tasks/0121_895_121895900_qa_2/task.toml +++ b/tasks/0121_895_121895900_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gregorut/videogamesales" gold_answer = "North America" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0121_991_121991314_qa_5/task.toml b/tasks/0121_991_121991314_qa_5/task.toml index a6d4acd42c010e8c8c400024cbf27ffebde29ca2..ab369716b18f895bac09883d940d56cff5ea77c1 100644 --- a/tasks/0121_991_121991314_qa_5/task.toml +++ b/tasks/0121_991_121991314_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "brijbhushannanda1979/bigmart-sales-data" gold_answer = "0.59" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0122_365_122365059_qa_2/task.toml b/tasks/0122_365_122365059_qa_2/task.toml index 9e4952ad1b47cf556d01eacd21af7a3eaa6f6ef4..943d5fa6bb1a4ce36cf21a70ecd3d0ecc20ce874 100644 --- a/tasks/0122_365_122365059_qa_2/task.toml +++ b/tasks/0122_365_122365059_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gregorut/videogamesales" gold_answer = "Action" reward_mode_initial = "exact_short" package_tier = 0 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0122_365_122365059_qa_3/task.toml b/tasks/0122_365_122365059_qa_3/task.toml index dde215f3ef9e79c97042d9504559e96351fd6d72..964165bab5cb0a1177c691cef19b2b35aa219746 100644 --- a/tasks/0122_365_122365059_qa_3/task.toml +++ b/tasks/0122_365_122365059_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gregorut/videogamesales" gold_answer = "82.74" reward_mode_initial = "numeric" package_tier = 0 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0122_715_122715490_qa_5/task.toml b/tasks/0122_715_122715490_qa_5/task.toml index 5167b95f7a30f9ac842589dc24effaefa9a063f4..101fa00f70238af414506d86c8b72e34c38b4ba4 100644 --- a/tasks/0122_715_122715490_qa_5/task.toml +++ b/tasks/0122_715_122715490_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "vivekchutke/spam-ham-sms-dataset" gold_answer = "4447" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0122_770_122770918_qa_1/task.toml b/tasks/0122_770_122770918_qa_1/task.toml index 4ac87ac0cb8bbdbf99b9f039f25f64bc3acff59c..7d9af06f95e9f5d1d21a62680c5a786702ed38e3 100644 --- a/tasks/0122_770_122770918_qa_1/task.toml +++ b/tasks/0122_770_122770918_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "abbasit/titanic" gold_answer = "38.38" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0123_397_123397782_qa_1/task.toml b/tasks/0123_397_123397782_qa_1/task.toml index 217efaa0d0feb052b1bba2e859b5816624f7c246..df6d408f7f96c5d8903ca9ee9310d3262af7ad52 100644 --- a/tasks/0123_397_123397782_qa_1/task.toml +++ b/tasks/0123_397_123397782_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/sms-spam-collection-dataset" gold_answer = "67.43" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0123_625_123625013_qa_5/task.toml b/tasks/0123_625_123625013_qa_5/task.toml index 7fa8b790c597ba892b40dba9b0b9b96b9b0c9042..c43665a1d2db286137e40825e02ff1ad34c44cd9 100644 --- a/tasks/0123_625_123625013_qa_5/task.toml +++ b/tasks/0123_625_123625013_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "nationalparkservice/park-biodiversity" gold_answer = "3" reward_mode_initial = "numeric" package_tier = 0 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0124_309_124309485_qa_5/task.toml b/tasks/0124_309_124309485_qa_5/task.toml index 0a9a89b5ae05df55beae98f9938ffd026ad75bf2..9c25987825e57168c943df22b07eef614dc36150 100644 --- a/tasks/0124_309_124309485_qa_5/task.toml +++ b/tasks/0124_309_124309485_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gregorut/videogamesales" gold_answer = "185.48" reward_mode_initial = "numeric" package_tier = 0 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0125_115_125115132_qa_1/task.toml b/tasks/0125_115_125115132_qa_1/task.toml index 6c30ff54285cde8b0cc66648cf80f8046c5e0699..2c286e986e029b3b428771332275d837a8d5140f 100644 --- a/tasks/0125_115_125115132_qa_1/task.toml +++ b/tasks/0125_115_125115132_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/pima-indians-diabetes-database" gold_answer = "141.26, 109.98" reward_mode_initial = "list" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0125_140_125140765_qa_1/task.toml b/tasks/0125_140_125140765_qa_1/task.toml index bd3fed44ab18e732bf04b44146aa5025163a07e1..87f19348a58a33acd7f9a6108ad71d200947a98d 100644 --- a/tasks/0125_140_125140765_qa_1/task.toml +++ b/tasks/0125_140_125140765_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "kwullum/fatal-police-shootings-in-the-us" gold_answer = "Mississippi" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0125_188_125188137_qa_1/task.toml b/tasks/0125_188_125188137_qa_1/task.toml index e02fb82a521b6f0f2fbd3986812c24df41d5d02a..1b2e3e7a3ead83096c36f7206960d4c81841b43f 100644 --- a/tasks/0125_188_125188137_qa_1/task.toml +++ b/tasks/0125_188_125188137_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "arjunbhasin2013/ccdata" gold_answer = "2" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0125_427_125427363_qa_1/task.toml b/tasks/0125_427_125427363_qa_1/task.toml index 3461b4215c83af886a4b8302dbd3392a3faef85f..bfbd311e7f3eb1442b0dc9d79bbfdee3f7ba5fd1 100644 --- a/tasks/0125_427_125427363_qa_1/task.toml +++ b/tasks/0125_427_125427363_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "harsha547/ipldatabase" gold_answer = "3" reward_mode_initial = "numeric" package_tier = 3 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0126_142_126142729_qa_1/task.toml b/tasks/0126_142_126142729_qa_1/task.toml index 617df9381307ea0714828ead31c1a097b44989f1..cec46fec4acf691289db7d01da287a7eb046ff0d 100644 --- a/tasks/0126_142_126142729_qa_1/task.toml +++ b/tasks/0126_142_126142729_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "vedavyasv/usa-housing" gold_answer = "1471210.0" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0126_180_126180239_qa_2/task.toml b/tasks/0126_180_126180239_qa_2/task.toml index eae651aeb834f7c2399de6faae94a8ffb0127860..f7d0bba5a557d92a04d1bdc82f54cb2f78d14360 100644 --- a/tasks/0126_180_126180239_qa_2/task.toml +++ b/tasks/0126_180_126180239_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gregorut/videogamesales" gold_answer = "Wii Sports" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0126_841_126841685_qa_2/task.toml b/tasks/0126_841_126841685_qa_2/task.toml index b56f28455c1ab694445ff00a692ac54a762afbc4..fda6b58541e00baab13d7f2c5cf7558a3173c84f 100644 --- a/tasks/0126_841_126841685_qa_2/task.toml +++ b/tasks/0126_841_126841685_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "abbasit/titanic" gold_answer = "38.38" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0126_841_126841685_qa_4/task.toml b/tasks/0126_841_126841685_qa_4/task.toml index d30630924a36d62f9e5903ed816a9bedbfd07db3..78e57dad019b155dbbb6ebabb148e01dc7facb4d 100644 --- a/tasks/0126_841_126841685_qa_4/task.toml +++ b/tasks/0126_841_126841685_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "abbasit/titanic" gold_answer = "177" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0126_954_126954425_qa_3/task.toml b/tasks/0126_954_126954425_qa_3/task.toml index 78bbd2e4748e2ff99520c7ce328a1e64e4185622..43269216155663539e8457f50445a25d1bbd86a4 100644 --- a/tasks/0126_954_126954425_qa_3/task.toml +++ b/tasks/0126_954_126954425_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/pima-indians-diabetes-database" gold_answer = "1.000652" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0127_585_127585527_qa_4/task.toml b/tasks/0127_585_127585527_qa_4/task.toml index d5fdf054282b9370dc7f644f2aa5a5f408c51fd5..627825c18d3e4e4d813f8a228efc00e16c729223 100644 --- a/tasks/0127_585_127585527_qa_4/task.toml +++ b/tasks/0127_585_127585527_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "loveall/clicks-conversion-tracking" gold_answer = "0.01667" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0127_821_127821175_qa_4/task.toml b/tasks/0127_821_127821175_qa_4/task.toml index f44fffe7dd721036f6d70d58972c1344670fa7ed..fa8a1f94d3ea60cc17a1d3279c5842c929adac1e 100644 --- a/tasks/0127_821_127821175_qa_4/task.toml +++ b/tasks/0127_821_127821175_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "PromptCloudHQ/imdb-data" gold_answer = "Star Wars: Episode VII - The Force Awakens" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0128_083_128083387_qa_3/task.toml b/tasks/0128_083_128083387_qa_3/task.toml index 444d2e4d799447ac1b28061dc684654b4092516d..99c3980322fe753424a0d93e9befbc7eaeb13691 100644 --- a/tasks/0128_083_128083387_qa_3/task.toml +++ b/tasks/0128_083_128083387_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/glass" gold_answer = "75" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0128_784_128784919_qa_5/task.toml b/tasks/0128_784_128784919_qa_5/task.toml index 447c6982e6f70ec943665b84bb97a1ae0d91f847..db0673fef5082c2d253a35f286fe25b611807d72 100644 --- a/tasks/0128_784_128784919_qa_5/task.toml +++ b/tasks/0128_784_128784919_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "tmdb/tmdb-movie-metadata" gold_answer = "2297" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0128_929_128929154_qa_1/task.toml b/tasks/0128_929_128929154_qa_1/task.toml index 70b1b33d6137e216a115e3a0bdac4912b413dca6..a87f645945dfc76b5131b5b8fb6744c490f32893 100644 --- a/tasks/0128_929_128929154_qa_1/task.toml +++ b/tasks/0128_929_128929154_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "sdolezel/black-friday" gold_answer = "0.35" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0128_943_128943364_qa_5/task.toml b/tasks/0128_943_128943364_qa_5/task.toml index b5cd77bab68d31bb358101d1a3851299df9f498a..378c755afc98c5ebbae533c9dc699fc79537406d 100644 --- a/tasks/0128_943_128943364_qa_5/task.toml +++ b/tasks/0128_943_128943364_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gregorut/videogamesales" gold_answer = "9" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0128_954_128954233_qa_1/task.toml b/tasks/0128_954_128954233_qa_1/task.toml index 7419c177b49f1bb805ad6afd1a00ba80589ebbab..39221e5093731cccc5c8a516ea1f4286c7c44634 100644 --- a/tasks/0128_954_128954233_qa_1/task.toml +++ b/tasks/0128_954_128954233_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/iris" gold_answer = "0.962757" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0128_998_128998647_qa_1/task.toml b/tasks/0128_998_128998647_qa_1/task.toml index 5f61d2abf25ff554ed79352aa3588371113d6086..5fcd734a439aeb121ee3877a3fc5fb80db1b91c4 100644 --- a/tasks/0128_998_128998647_qa_1/task.toml +++ b/tasks/0128_998_128998647_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/pima-indians-diabetes-database" gold_answer = "34.9" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0129_603_129603179_qa_3/task.toml b/tasks/0129_603_129603179_qa_3/task.toml index db33999802872fae23bbdc444b4c7d9630da48c3..c78a024d942e4463347696eb5ed60cd6c992c58d 100644 --- a/tasks/0129_603_129603179_qa_3/task.toml +++ b/tasks/0129_603_129603179_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "blastchar/telco-customer-churn" gold_answer = "0" reward_mode_initial = "numeric" package_tier = 2 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0129_784_129784913_qa_3/task.toml b/tasks/0129_784_129784913_qa_3/task.toml index 0274eb0595f994addbdb139496e85aae68773c6b..353294ea49fd465d7e94c99e342a3d4e2dac72d9 100644 --- a/tasks/0129_784_129784913_qa_3/task.toml +++ b/tasks/0129_784_129784913_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "rakannimer/air-passengers" gold_answer = "no" reward_mode_initial = "exact_bool" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0130_710_130710766_qa_2/task.toml b/tasks/0130_710_130710766_qa_2/task.toml index 90259f6c83c7bd85598fbc908acaaa0ee22fa8df..fd927f513c22b198ca4fac2be8bd87c364a7400f 100644 --- a/tasks/0130_710_130710766_qa_2/task.toml +++ b/tasks/0130_710_130710766_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "iabhishekofficial/mobile-price-classification" gold_answer = "500" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0131_433_131433565_qa_4/task.toml b/tasks/0131_433_131433565_qa_4/task.toml index 396bca1724251d072c8a7b20a64b6a095f4f3412..658054c5843980dd6088659378c8fc0254865c71 100644 --- a/tasks/0131_433_131433565_qa_4/task.toml +++ b/tasks/0131_433_131433565_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gregorut/videogamesales" gold_answer = "Wii Sports" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0131_438_131438357_qa_4/task.toml b/tasks/0131_438_131438357_qa_4/task.toml index 2ce647573669ba624f6c11a868cc46c1e992df3b..6834bbbd52b6769c2af5bd5a9ebd1534de703093 100644 --- a/tasks/0131_438_131438357_qa_4/task.toml +++ b/tasks/0131_438_131438357_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "kabure/german-credit-data-with-risk" gold_answer = "1" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0131_458_131458182_qa_5/task.toml b/tasks/0131_458_131458182_qa_5/task.toml index a36a92487ec18474aa3476ae9b396a4c3b154946..13d7ce5b0749225121a2cda423c75dba189cf82c 100644 --- a/tasks/0131_458_131458182_qa_5/task.toml +++ b/tasks/0131_458_131458182_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "CooperUnion/cardataset" gold_answer = "3742" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0131_767_131767840_qa_1/task.toml b/tasks/0131_767_131767840_qa_1/task.toml index 1ca0d9c81412b9c15317831220b3a094ec9340be..5b4ae031446d7077fbdaf0cf37b2be2d047c6b37 100644 --- a/tasks/0131_767_131767840_qa_1/task.toml +++ b/tasks/0131_767_131767840_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "carrie1/ecommerce-data" gold_answer = "0.001" reward_mode_initial = "numeric" package_tier = 0 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0133_522_133522334_qa_5/task.toml b/tasks/0133_522_133522334_qa_5/task.toml index de6b8e5e1b98e1dbbca5b34137fa3adbea51d08b..b018a1a080444778e3b7306ecf1bf43e6755f748 100644 --- a/tasks/0133_522_133522334_qa_5/task.toml +++ b/tasks/0133_522_133522334_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "pavansubhasht/ibm-hr-analytics-attrition-dataset" gold_answer = "Human Resources, 18088.64" reward_mode_initial = "list" package_tier = 2 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0133_615_133615287_qa_1/task.toml b/tasks/0133_615_133615287_qa_1/task.toml index 15b0a4530b3a04b685f94599569919e336878c4f..994cd9026c9d3e6d549de2cf5d3c88ab8a555cda 100644 --- a/tasks/0133_615_133615287_qa_1/task.toml +++ b/tasks/0133_615_133615287_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/sms-spam-collection-dataset" gold_answer = "747" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0135_081_135081694_qa_2/task.toml b/tasks/0135_081_135081694_qa_2/task.toml index ed94c5a3ef8734e4ea1e72ef692bdd5a66ec3306..387221f3416d303246e3dc9bc9ff6df500b5a242 100644 --- a/tasks/0135_081_135081694_qa_2/task.toml +++ b/tasks/0135_081_135081694_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gregorut/videogamesales" gold_answer = "1.34" reward_mode_initial = "numeric" package_tier = 3 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0135_081_135081694_qa_5/task.toml b/tasks/0135_081_135081694_qa_5/task.toml index 995b23708f20299a884e694028031cec35b27bb0..08af93d5daa0221fec6bb857c960a035a188e2aa 100644 --- a/tasks/0135_081_135081694_qa_5/task.toml +++ b/tasks/0135_081_135081694_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "gregorut/videogamesales" gold_answer = "Shooter" reward_mode_initial = "exact_short" package_tier = 3 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0135_324_135324126_qa_3/task.toml b/tasks/0135_324_135324126_qa_3/task.toml index 255aee341e70376a728f964f7f490227f22b7713..9775f06164a9b945d8e15e54cdcf9b8380f83ae6 100644 --- a/tasks/0135_324_135324126_qa_3/task.toml +++ b/tasks/0135_324_135324126_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/pima-indians-diabetes-database" gold_answer = "Skin Thickness" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0135_324_135324126_qa_5/task.toml b/tasks/0135_324_135324126_qa_5/task.toml index eb497b8499cc16001ca47360af6c30b5db860f8c..dc83fa66d04152599535366b2e8023c901a83650 100644 --- a/tasks/0135_324_135324126_qa_5/task.toml +++ b/tasks/0135_324_135324126_qa_5/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/pima-indians-diabetes-database" gold_answer = "yes" reward_mode_initial = "exact_bool" package_tier = 1 -difficulty_level = 0 +difficulty_level = 4 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0135_380_135380654_qa_2/task.toml b/tasks/0135_380_135380654_qa_2/task.toml index 230d8ef9d82bb1f0be996ede0e28b808908a7807..c6bf0fdc3d50df7eaccb8daa14ec82f5c4885922 100644 --- a/tasks/0135_380_135380654_qa_2/task.toml +++ b/tasks/0135_380_135380654_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "kumarajarshi/life-expectancy-who" gold_answer = "78.808" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0135_716_135716121_qa_3/task.toml b/tasks/0135_716_135716121_qa_3/task.toml index cbaa3f674ffcb70debb9f5d885aeaff5468fba74..544fdf83df79b53dd783c803c6927cb7c02226bd 100644 --- a/tasks/0135_716_135716121_qa_3/task.toml +++ b/tasks/0135_716_135716121_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "pavansubhasht/ibm-hr-analytics-attrition-dataset" gold_answer = "1" reward_mode_initial = "exact_short" package_tier = 0 -difficulty_level = 0 +difficulty_level = 3 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0135_926_135926873_qa_2/task.toml b/tasks/0135_926_135926873_qa_2/task.toml index 0567a612337bb559a7c7326901b94e79031f1649..384058c33c1a1bd3bd9d81cbefd1cf48cbdb3d15 100644 --- a/tasks/0135_926_135926873_qa_2/task.toml +++ b/tasks/0135_926_135926873_qa_2/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "kyanyoga/sample-sales-data" gold_answer = "0.5514261919183568" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 1 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0135_926_135926873_qa_4/task.toml b/tasks/0135_926_135926873_qa_4/task.toml index cc61957f7c748d4e61b46e4e76dbadaf01a32943..b5324d0f0e6e757348fa9a780da7f754dbaaf03e 100644 --- a/tasks/0135_926_135926873_qa_4/task.toml +++ b/tasks/0135_926_135926873_qa_4/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "kyanyoga/sample-sales-data" gold_answer = "Euro Shopping Channel" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0135_968_135968027_qa_1/task.toml b/tasks/0135_968_135968027_qa_1/task.toml index 2f5764c8fc04d0144b272c5444ab01739b09a048..f9f279b76dd6bb1d5afd88dbc89f9315aca54b0c 100644 --- a/tasks/0135_968_135968027_qa_1/task.toml +++ b/tasks/0135_968_135968027_qa_1/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "uciml/iris" gold_answer = "80%" reward_mode_initial = "exact_short" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0 diff --git a/tasks/0138_302_138302934_qa_3/task.toml b/tasks/0138_302_138302934_qa_3/task.toml index c8979662624670ee91887b01ee168e42074d1669..300946a057dbb94de10935b4881adac926a2741b 100644 --- a/tasks/0138_302_138302934_qa_3/task.toml +++ b/tasks/0138_302_138302934_qa_3/task.toml @@ -14,7 +14,7 @@ kaggle_dataset_name = "giripujar/hr-analytics" gold_answer = "8.36" reward_mode_initial = "numeric" package_tier = 1 -difficulty_level = 0 +difficulty_level = 2 [environment] build_timeout_sec = 600.0