inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
You will be given a definition of a task first, then some input of the task.
In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using terms from the passage. Indicate your choice as... | 1 | 1 | NIv2 | task230_iirc_passage_classification | zs_opt | [
0.19716066122055054,
0.4055941700935364,
-0.6470316648483276,
-0.5119044780731201,
0.29457467794418335,
0.22773773968219757,
1.0273997783660889,
0.768190860748291,
-0.2933201789855957,
0.6478371620178223,
0.20419493317604065,
1.13986337184906,
-0.5035799741744995,
-0.033820122480392456,
... |
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A preceding the last i elements. i will always have a value less than the length of A.
One example: 3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']
Solution is here: a, 34, f, 931, 7
Explanati... | 3739, 5937, 753, 9229, N, 1723, B, 5603 | 6 | NIv2 | task078_all_elements_except_last_i | fs_opt | [
0.40345653891563416,
0.2457883656024933,
-0.3501085638999939,
-1.0027074813842773,
-0.1856834590435028,
-0.08768495172262192,
0.6266931295394897,
0.22556720674037933,
0.07629916071891785,
-0.22581909596920013,
-1.0484342575073242,
0.2878195643424988,
0.055950261652469635,
-0.39483377337455... |
TASK DEFINITION: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content.
PROBLEM: @anonymized_account Ale koszulki to chyba identyczne jak Śląska ^^
SOLUTION: 0
PROBLEM: @anonymized_account serio ci ze zdjęcia to były gwiazdy ekstraklasy w... | 1
| 8 | NIv2 | task838_cdt_classification | fs_opt | [
-1.0788640975952148,
0.5844221711158752,
-0.2570384442806244,
0.567726194858551,
-0.48932522535324097,
0.17446796596050262,
1.2639602422714233,
0.2849966883659363,
0.21340090036392212,
-0.28485172986984253,
-0.532102108001709,
0.5034677982330322,
-0.22349874675273895,
-0.1638408750295639,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given an input list A. You need to find all the elements of the list that are numbers in the same order as they appear in the list A.
['6557', '3905']
Output: | 6557, 3905 | 1 | NIv2 | task497_extract_all_numbers_from_list_in_order | zs_opt | [
0.5554542541503906,
0.36550211906433105,
-0.7682932019233704,
-0.2564224600791931,
-0.2737676501274109,
0.4169311821460724,
0.2875891923904419,
-0.010326682589948177,
0.470925509929657,
0.2756558954715729,
-0.6552191376686096,
-0.3810180425643921,
-0.002381659345701337,
-0.1359062492847442... |
TASK DEFINITION: In this task you will be given a text passage from a trivia quiz. You should choose the category this question belongs to from these categories: History, Science, Social Science, Fine Arts, Literature. You can only choose one category, so if in doubt, please choose the closest match.
PROBLEM: This forc... | Literature
| 8 | NIv2 | task521_trivia_question_classification | fs_opt | [
0.0732470229268074,
0.6800243258476257,
0.2001904845237732,
-0.19883835315704346,
0.4620649218559265,
-0.0697270929813385,
0.45835238695144653,
0.37932220101356506,
0.5383906364440918,
0.1049206331372261,
-0.12095393985509872,
0.09345176815986633,
-0.7328540086746216,
-0.4250076413154602,
... |
Detailed Instructions: In this task, you are given a hateful post in English from online platforms. You are expected to classify the target being harassed in the post as individual or generic, i.e., single person or a group of people. Note that the URLs in the text have been replaced with [Link].
See one example below:... | Generic | 4 | NIv2 | task337_hateeval_classification_individual_en | fs_opt | [
-0.9895901083946228,
0.4017500877380371,
0.5834060311317444,
-0.03714827075600624,
0.32764607667922974,
-0.9492582082748413,
0.33338406682014465,
0.27761006355285645,
0.1268363893032074,
0.23725679516792297,
-0.11500155180692673,
0.17405954003334045,
-0.26705819368362427,
-0.32666766643524... |
Instructions: Given a sentence in Hindi, generate a new Hindi sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probabili... | कुछ तलाशें बहुत औपचारिक हैं और देखने के लिए विशिष्ट प्रदर्शनों में रखी जाती हैं । | 3 | NIv2 | task407_mickey_hi_sentence_perturbation_generation | zs_opt | [
-0.45575210452079773,
0.4881688356399536,
-0.12381359934806824,
0.42663395404815674,
-0.5129643678665161,
-0.5871870517730713,
-0.19322900474071503,
0.6353831887245178,
-0.1961660534143448,
-1.1459553241729736,
-0.7300996780395508,
0.14294922351837158,
0.5032944679260254,
0.461057096719741... |
Teacher: In this task, you will be presented with a question in Persian. Based on the knowledge you need to answer the question, classify the question into "math_and_logic", "literature", or "common_knowledge".
Teacher: Now, understand the problem? If you are still confused, see the following example:
عدد 30 را بر نیم ... | literature | 2 | NIv2 | task474_parsinlu_mc_classification | fs_opt | [
-0.9707500338554382,
0.1478549689054489,
-0.04389685019850731,
-0.16904999315738678,
-0.6445200443267822,
-0.5712145566940308,
1.0910282135009766,
0.36942923069000244,
0.3068276643753052,
-0.47032180428504944,
-0.3740679621696472,
0.4746285676956177,
-0.4787907600402832,
-0.162050843238830... |
Instructions: In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every even number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no even numbers in an inne... | [46080, 8, 0, 0, -36, 96, 4, 0, -22, -640, -14784, -42] | 3 | NIv2 | task851_synthetic_multiply_evens | zs_opt | [
-0.3240155577659607,
0.5919161438941956,
-0.6068394184112549,
-0.29374992847442627,
0.08169382065534592,
-0.17014388740062714,
1.2155894041061401,
0.06942615658044815,
-0.31203487515449524,
-0.3616875410079956,
-0.9575199484825134,
0.13536551594734192,
-0.4790676236152649,
-0.6015783548355... |
Definition: Given a sentence in Vietnamese, generate a new Vietnamese sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable p... | Bạn sẽ từ chối bánh mì bởi vì nó làm cho ngôi nhà trở nên thô lỗ. | 2 | NIv2 | task411_mickey_vi_sentence_perturbation_generation | zs_opt | [
-0.44186875224113464,
0.17743021249771118,
0.07013598084449768,
-0.04667610675096512,
-0.22023506462574005,
-0.351112425327301,
0.40301454067230225,
1.2124462127685547,
0.06281951069831848,
-0.31505173444747925,
-1.2757833003997803,
0.2537473142147064,
-0.20209339261054993,
0.4442090094089... |
Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be ... | Does head and neck cooling after cardiac arrest result in lower jugular bulb than esophageal temperature? | 0 | NIv2 | task847_pubmedqa_question_generation | zs_opt | [
1.3511592149734497,
-0.6079711318016052,
-0.8334623575210571,
0.646026611328125,
0.6221539378166199,
-1.1869966983795166,
1.0846948623657227,
0.16882842779159546,
-0.17640337347984314,
-0.1526455283164978,
-0.49641603231430054,
-0.07267436385154724,
-0.6619773507118225,
0.5098245143890381,... |
You will be given a definition of a task first, then some input of the task.
Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.
1 Upload failed. 2 We are experiencing ... | Mercury takes 59 days,Venus takes 243 days, Earth takes 24 hours, Mars takes 24.3 hours,Jupiter takes 9.8 hours, Saturn takes 10.2 hours,Uranus takes 17.14 hours,Neptune takes 16 hours 1 day to rotate on their axis. | 1 | NIv2 | task870_msmarco_answer_generation | zs_opt | [
0.5592683553695679,
0.5398405194282532,
-0.6256223917007446,
0.5291570425033569,
-0.28729182481765747,
-0.42358168959617615,
0.19669058918952942,
0.2931973338127136,
-0.2574920654296875,
-0.03998923301696777,
-0.1702212542295456,
-0.04478512704372406,
-0.10911322385072708,
0.43575584888458... |
Teacher:In this task, you have to identify the named entities (NER) which are the ingredients required given its directions. Named entities are the names of the items without their quantity.
Teacher: Now, understand the problem? Solve this instance: In a large roasting pan, combine the cereals, crackers, pretzels and n... | cups Wheat, crackers, mixed nuts, butter, barbecue sauce, Worcestershire sauce, salt | 6 | NIv2 | task571_recipe_nlg_ner_generation | zs_opt | [
0.16234824061393738,
0.558946967124939,
0.1228397786617279,
0.23433232307434082,
-0.8739045262336731,
0.38762718439102173,
1.0228867530822754,
-0.18214072287082672,
-0.04703740030527115,
-0.5258462429046631,
0.007968112826347351,
-0.3274286091327667,
-0.31651878356933594,
-0.31837108731269... |
In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Q: It is estimated that 135,000 people visited the UK last year — just 0.6... | 中国の推計によると135,000人の人が昨年イギリスを訪問しましたが、これは中国の対外国観光市場のほんの0.6%でしかない。 | 4 | NIv2 | task435_alt_en_ja_translation | zs_opt | [
-0.44600605964660645,
0.6072862148284912,
0.20956456661224365,
-0.9602200388908386,
0.6100164651870728,
-0.3121042549610138,
0.054445791989564896,
-0.15353208780288696,
-0.17923501133918762,
-0.4303685426712036,
0.3390997648239136,
0.6837625503540039,
-0.46841302514076233,
0.21829658746719... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Spanish.
Problem:And then we have others working in these other related programs.
Solution: | También tenemos otras personas que trabajan en otros programas relacionados. | 8 | NIv2 | task1219_ted_translation_en_es | zs_opt | [
-0.6490417718887329,
1.0243470668792725,
-0.5465632081031799,
-0.3942665159702301,
-0.1375446766614914,
-0.1665884256362915,
-0.8826276063919067,
0.970961332321167,
0.35350656509399414,
0.15822546184062958,
-0.3397718071937561,
-0.6201413869857788,
-0.41948872804641724,
-0.0547272115945816... |
Part 1. Definition
In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is intentionally offensive, 2) no, otherwise. Also, generate label 'no' for offensive statements that appear to be unintentional, or non-offensive stateme... | Yes | 7 | NIv2 | task607_sbic_intentional_offense_binary_classification | fs_opt | [
-0.17137150466442108,
0.06749506294727325,
0.643546462059021,
0.4579296410083771,
0.4419485330581665,
-0.6320170760154724,
0.5568175315856934,
0.7864799499511719,
-0.25850969552993774,
0.046844497323036194,
0.08172014355659485,
-0.2441941201686859,
-0.8341389894485474,
-0.1964413821697235,... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given an input list A. You need to convert all the alphabets in the list with a number representing their position in the English alphabet. E.g., replace A by 1, B by 2, a by 1, b by 2, and so on.
['9331', 'j', '1761', '... | 9331, 10, 1761, 1353, 9911, 8047, 23, 6, 625, 19, 7, 205, 22, 2393, 13, 5, 14, 6605, 10, 2, 5041, 4491, 7915, 3587, 9, 6051, 5659, 9, 5629, 7, 8, 6 | 1 | NIv2 | task622_replace_alphabets_in_a_list_by_their_position_in_english_alphabet | zs_opt | [
-0.19560080766677856,
-0.057339444756507874,
0.41812705993652344,
-0.09727655351161957,
0.5202863216400146,
-0.45683321356773376,
-0.1545487493276596,
0.23209232091903687,
-0.017786087468266487,
0.19855284690856934,
-0.4195069670677185,
-0.2983478903770447,
0.19958342611789703,
-0.81505340... |
In this task, you're given a statement, the genre to which that statement belongs, and a label indicating if the statement should be agreed with (entailment), disagreed with (contradiction), or neither (neutral). Your job is to write a sentence that describes the genre that follows the tone with respect to the statemen... | The chancel and chapel were built approximately 200 years apart.
| 7 | NIv2 | task203_mnli_sentence_generation | fs_opt | [
-0.6335961818695068,
0.6247173547744751,
0.2848295569419861,
-0.11963183432817459,
-0.0003383825533092022,
-0.5413289070129395,
-0.3767850399017334,
0.4099140167236328,
-0.17460179328918457,
0.0003572175046429038,
0.06244254857301712,
0.31537219882011414,
-0.5685303211212158,
-0.3802932500... |
Detailed Instructions: In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story; note... | ab | 8 | NIv2 | task221_rocstories_two_choice_classification | zs_opt | [
-0.13079191744327545,
0.6947348117828369,
0.3335108757019043,
-0.11849728226661682,
-0.02181992307305336,
0.1452423632144928,
0.8057352304458618,
0.7426896095275879,
-0.1731732189655304,
0.7192777991294861,
-0.1985773742198944,
-0.04888451099395752,
-0.2533641755580902,
-0.4911850392818451... |
Instructions: Given the prompt and a response, classify the them to "yes" if response is "yes, and" type. Otherwise classify it as "no". "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on tha... | no | 3 | NIv2 | task361_spolin_yesand_prompt_response_classification | zs_opt | [
0.5475115180015564,
0.5609177350997925,
0.5304188132286072,
0.14058995246887207,
0.20736490190029144,
-0.7086552381515503,
0.23287487030029297,
0.8542933464050293,
0.04364250600337982,
-0.17602530121803284,
-0.8066741228103638,
-0.07306840270757675,
-0.7227591276168823,
0.25901487469673157... |
Detailed Instructions: In this task, you are given an input list A. You need to find all the elements of the list that are numbers in the same order as they appear in the list A.
Problem:['5557', 'u', 'y']
Solution: | 5557 | 8 | NIv2 | task497_extract_all_numbers_from_list_in_order | zs_opt | [
0.6565614342689514,
0.5578346252441406,
-0.7330244779586792,
-0.7854905128479004,
-0.17889738082885742,
0.2047913372516632,
0.47218549251556396,
-0.05849681422114372,
0.810701310634613,
0.7109882831573486,
-0.18857847154140472,
-0.2637370526790619,
-0.26741793751716614,
0.1733928918838501,... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task the focus is on physical knowledge about the world. Given the provided goal task in the input, describe a process that would lead to the asked outcome. This process often involves physic... | Take an old soda can and cut it apart. Reassemble it into a ring and use a fuel source to light it. | 0 | NIv2 | task080_piqa_answer_generation | fs_opt | [
0.24266451597213745,
0.6931153535842896,
-0.9152030944824219,
0.19526436924934387,
-0.10697285085916519,
-0.022793855518102646,
0.6323469877243042,
0.3139001727104187,
0.3974577784538269,
0.12880420684814453,
-0.09593138098716736,
0.033960387110710144,
-0.1847664713859558,
0.34777098894119... |
A text is given in Bengali. Translate it from the Bengali language to the Malayalam language. The translation must not omit or add information to the original sentence.
വീട്ടിലെ ചപ്പു ചവറുകള് ഉണങ്ങിയതും ഈര്പ്പമുള്ളതും വേര്തിരിച്ച് നീല-പച്ച കൂടകളില് ഇടുന്ന കാര്യത്തില് ഇപ്പോള് ശീലമായിക്കാണും എന്നെനിക്കു വിശ്വാസമുണ... | আমার পুরো বিশ্বাস, আপনারা ঘরদোরের শুকনো আবর্জনা এবং ভেজা আবর্জনা আলাদা করে যথাক্রমে নীল আর সবুজ ডাস্টবিনে ফেলছেন। | 0 | NIv2 | task1004_pib_translation_malayalam_bengali | zs_opt | [
0.1646360158920288,
0.35317516326904297,
-0.4666563868522644,
0.026865188032388687,
-0.482787549495697,
-1.114580512046814,
0.7345796227455139,
0.6200718879699707,
-0.37914007902145386,
-0.23714721202850342,
-0.7838698625564575,
0.40363210439682007,
-0.6432926654815674,
0.3584039509296417,... |
instruction:
In this task you are given a sentence with one coordinating conjunction (for, and, nor, but, or, yet, and so). You must judge whether the order of two coordinated clausal conjoints have been inverted or not. Inversion would result in the sentence sounding unnatural. Label the instances as "Original" or "In... | Original
| 9 | NIv2 | task516_senteval_conjoints_inversion | fs_opt | [
-0.6530196666717529,
0.9326276779174805,
0.046740662306547165,
-0.24522149562835693,
0.12982884049415588,
-0.6253879070281982,
0.4788553714752197,
0.572282075881958,
0.12550443410873413,
-0.31073635816574097,
-0.41017287969589233,
-0.41919153928756714,
-0.5276780128479004,
-0.1447030305862... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the letters E, C, and N respectively.
Example: Sen... | Solution: C | 5 | NIv2 | task190_snli_classification | fs_opt | [
-0.24368003010749817,
0.33935537934303284,
0.646820068359375,
-0.33114808797836304,
0.08767536282539368,
-1.0575543642044067,
0.10665559768676758,
0.6099829077720642,
0.282679945230484,
0.3461666405200958,
-0.2578756511211395,
-0.19379982352256775,
-0.6662864685058594,
-0.3379073739051819,... |
Part 1. Definition
In this task, you're given a context, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both context and link informat... | Between the country where Gjems-Onstad was arrested and later sent to in 1941, which has the larger population? | 7 | NIv2 | task235_iirc_question_from_subtext_answer_generation | fs_opt | [
-0.0246882364153862,
0.5848058462142944,
-0.3818337917327881,
-0.21876056492328644,
0.17186897993087769,
-0.3006300926208496,
0.44817739725112915,
0.6865822672843933,
0.5535801649093628,
0.012461502104997635,
-0.7653053998947144,
0.2273821234703064,
-1.1587938070297241,
0.21604351699352264... |
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to... | Output: No
| 2 | NIv2 | task1199_atomic_classification_xattr | fs_opt | [
0.02787778526544571,
0.09466682374477386,
0.6114547848701477,
-0.20051605999469757,
-0.49310705065727234,
-1.0238817930221558,
0.4530380964279175,
0.7699576616287231,
-0.20439189672470093,
0.0006382756400853395,
-0.47711512446403503,
-0.7245767712593079,
-0.43889689445495605,
0.32280918955... |
Definition: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
Input: Comment: Or one well placed bu... | Threat | 2 | NIv2 | task322_jigsaw_classification_threat | zs_opt | [
-0.3934582471847534,
0.750150203704834,
0.7299799919128418,
0.3018633723258972,
0.19653421640396118,
-0.4224274754524231,
1.1350512504577637,
0.8504528999328613,
0.5169616937637329,
0.1851661205291748,
-0.2918735146522522,
0.238888680934906,
-0.8648865222930908,
-0.6514084339141846,
0.37... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | No
| 7 | NIv2 | task1210_atomic_classification_madeupof | fs_opt | [
0.33069145679473877,
0.43208321928977966,
0.40351951122283936,
-0.07152688503265381,
-0.6703106164932251,
-0.741331160068512,
1.1842982769012451,
0.5857067704200745,
-0.5239576697349548,
-0.49179714918136597,
-0.6670349836349487,
-0.2871595323085785,
-0.7074877023696899,
0.3665989935398102... |
In this task, positions of two consecutive words have been swapped. You need to output the position of the swaped words. e.g. in the sentence 'Seattle has nice a weather', the word 'a' and 'nice' have been swapped. These words are at 3rd and 4th position respectively. So, the output should be (3, 4). Note that the inde... | (5, 6)
****
| 4 | NIv2 | task089_swap_words_verification | fs_opt | [
-0.3598296642303467,
0.885459303855896,
-0.8091239929199219,
-0.7909249067306519,
0.0861017256975174,
-0.2764410376548767,
0.3180655539035797,
0.43088144063949585,
0.13095980882644653,
-0.5696510672569275,
-0.03943891450762749,
0.20901429653167725,
-0.14826086163520813,
-0.2825736999511719... |
You will be given a definition of a task first, then some input of the task.
Two analogies that relate objects to the associated rooms is given in the form "A : B. C : ?". "A : B" relates object A to room B. Your task is to replace the question mark (?) with the appropriate room for the given object C, following the "A... | bathroom | 1 | NIv2 | task1157_bard_analogical_reasoning_rooms_for_containers | zs_opt | [
0.5858370065689087,
0.9996750950813293,
-1.219836711883545,
0.5859799385070801,
-0.2307831197977066,
0.15142087638378143,
0.5875101089477539,
-0.03140529617667198,
0.6971255540847778,
-0.420512855052948,
0.20856037735939026,
0.025791162624955177,
0.3182443082332611,
-0.05164320021867752,
... |
Definition: You are given a sentence in English. Your job is to translate the English sentence into Galician.
Input: She said, "" Now Hans, we have loaded the laundry.
Output: | Dixo, "" Agora, Hans, que xa cargamos a roupa, | 2 | NIv2 | task1090_ted_translation_en_gl | zs_opt | [
-0.18609492480754852,
0.7680131196975708,
-0.3490488529205322,
-0.41214078664779663,
-0.17007634043693542,
-1.2185829877853394,
-0.4975895583629608,
0.6673882603645325,
0.16307894885540009,
0.45847761631011963,
-0.29528534412384033,
0.2313144952058792,
-0.501380443572998,
-0.21133175492286... |
Given the task definition and input, reply with output. This task involves creating questions from a given passage that involve some kind of complex reasoning (including numerical reasoning).
The generated questions must require looking at more than one part of the passage to answer. Try to use a variety of reasoning ... | How many percent did the U.S.'s unemployment rate improve from April 2010 to March 2018? | 5 | NIv2 | task026_drop_question_generation | zs_opt | [
-0.07632716000080109,
0.7863091230392456,
-0.18614843487739563,
0.3348955512046814,
-0.41081738471984863,
0.6201311945915222,
0.12893399596214294,
0.9448704719543457,
-0.20612752437591553,
-0.20830973982810974,
-0.7884944081306458,
0.4306432902812958,
-0.49274972081184387,
0.35603946447372... |
Given a question and a context passage, generate the answer having the word or phrase from the context passage. Here, the answer should be a shortest continous span from the passage.
Ex Input:
Context: While performing on her Intimate and Live concert tour in Australia, Minogue confirmed that she would release ''Cowbo... | amino acids
| 1 | NIv2 | task469_mrqa_answer_generation | fs_opt | [
0.5743823647499084,
0.45484936237335205,
-0.6294164657592773,
-0.510604739189148,
0.41105887293815613,
-0.7479529976844788,
0.3772920072078705,
1.185104250907898,
-0.29054221510887146,
0.607246994972229,
-0.4060005843639374,
0.7167192101478577,
0.009521979838609695,
0.02484714984893799,
... |
Given the task definition and input, reply with output. In this task you will be given a list of integers. You should find the minimum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is th... | 0 | 5 | NIv2 | task1445_closest_integers | zs_opt | [
-0.7835872173309326,
0.7251504063606262,
0.14310239255428314,
-0.13403922319412231,
-0.33344703912734985,
-0.13820397853851318,
0.3241175413131714,
-0.22216780483722687,
0.5957199335098267,
-0.09408505260944366,
-0.5442371368408203,
-0.3960416913032532,
-0.1634487509727478,
-0.182988852262... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task you will be given an answer to a question. You need to generate a question. The answer given should be a correct answer for the generated question.
This list contains the top 25 account... | where is colombo located on the world map | 0 | NIv2 | task519_aquamuse_question_generation | fs_opt | [
0.377290815114975,
0.4871233105659485,
0.017474085092544556,
-0.5254058837890625,
0.5591994524002075,
-0.6667556166648865,
0.4008944034576416,
0.3484978973865509,
-0.5248039960861206,
-0.03744036704301834,
0.5367870330810547,
0.9331389665603638,
-1.0453064441680908,
0.44483286142349243,
... |
Based on the given context, craft a common-sense question, especially those that are LONG, INTERESTING, and COMPLEX. The goal is to write questions that are easy for humans and hard for AI machines! To create such questions, here are some suggestions: A. What may (or may not) be the plausible reason for an event? B. Wh... | How was " he " running ? | 9 | NIv2 | task023_cosmosqa_question_generation | fs_opt | [
0.3141680955886841,
0.17892688512802124,
-0.25596702098846436,
0.5761337280273438,
-0.1493193507194519,
-0.027056889608502388,
0.0881185308098793,
0.8380268216133118,
0.03599727898836136,
-0.1002366691827774,
-0.7531964182853699,
-0.07490906119346619,
-0.477803111076355,
0.3907731771469116... |
The task is to generate text based off of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons intent behind doing the event, i.e. why did the person do that action.
Example Input: PersonX starts last night
Example Output: get goin... | to have fun
| 3 | NIv2 | task1596_event2mind_text_generation_2 | fs_opt | [
-0.37138089537620544,
0.7445989847183228,
-0.12635552883148193,
-0.3199748396873474,
-0.7224106192588806,
-0.32545870542526245,
0.9812339544296265,
0.4145914316177368,
-0.04336113482713699,
-0.6889461278915405,
-0.3203614056110382,
-0.13940931856632233,
-0.7527886033058167,
0.2260902225971... |
Given a scientific passage and an answer, generate a question for the given answer.
Example: Passage: A frameshift mutation is a deletion or insertion of one or more nucleotides that changes the reading frame of the base sequence. Deletions remove nucleotides, and insertions add nucleotides. Consider the following sequ... | Solution: Particles of sand and what other substance are carried by longshore drift? | 5 | NIv2 | task594_sciq_question_generation | fs_opt | [
0.45030519366264343,
0.3017101287841797,
-0.6352795362472534,
0.16585052013397217,
-0.183030903339386,
-0.9369414448738098,
0.7554479241371155,
0.6594237089157104,
0.534500241279602,
-0.4133928418159485,
-0.8578352928161621,
-0.16062621772289276,
-1.0846915245056152,
0.28510841727256775,
... |
Teacher:In this task, you are given a text which is the body of a document. You are given a question and options. Pick the correct number. Don't generate anything else apart from the numbers provided in options.
Teacher: Now, understand the problem? Solve this instance: Context: The Great Lover is a 2009 biographical n... | 1 | 6 | NIv2 | task633_dbpedia_14_answer_generation | zs_opt | [
-0.9786667823791504,
0.7830411791801453,
0.3523017168045044,
0.2418404519557953,
0.022085629403591156,
0.6539565324783325,
-0.12216600775718689,
-0.4256823658943176,
-0.09853881597518921,
-0.13565495610237122,
-0.42746615409851074,
-0.5847435593605042,
-0.30824053287506104,
-0.306727707386... |
Given a text passage as input comprising of dialogue of negotiations between a seller and a buyer about the sale of an item, your task is to classify the item being sold into exactly one of these categories: 'housing', 'furniture', 'bike', 'phone', 'car', 'electronics'. The output should be the name of the category fro... | Output: electronics
| 2 | NIv2 | task767_craigslist_bargains_classification | fs_opt | [
0.0794929638504982,
0.09199829399585724,
-0.7267911434173584,
0.5014307498931885,
0.5537704825401306,
0.47135618329048157,
0.7953845858573914,
1.0169517993927002,
-0.4649691581726074,
0.1442745327949524,
0.042764149606227875,
0.49671417474746704,
-0.21820518374443054,
-0.07905177026987076,... |
In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e you need to perform addition when you see 'aggiunta' and subtraction in case of 'sottrazione'.
Ex Input:
350 aggiunta 339... | 1995
| 1 | NIv2 | task086_translated_symbol_arithmetic | fs_opt | [
-0.4451621174812317,
0.3867740035057068,
-0.5973172187805176,
-0.06841215491294861,
-0.510016679763794,
-0.2025231122970581,
0.5932096242904663,
0.8212403059005737,
0.1311410367488861,
-0.5883510112762451,
-1.2676491737365723,
-0.12428724765777588,
-0.38225680589675903,
0.36564889550209045... |
Definition: Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks fo... | I_JUMP I_JUMP I_TURN_RIGHT I_TURN_RIGHT I_WALK | 2 | NIv2 | task128_scan_structured_text_generation_command_action_short | zs_opt | [
0.07240559160709381,
0.4493480920791626,
-0.3447954058647156,
0.07925756275653839,
0.24598734080791473,
-0.05037733167409897,
0.40505558252334595,
0.01977236196398735,
-0.046874191612005234,
-0.1632726490497589,
-0.7872672080993652,
-0.23781125247478485,
-0.7934163808822632,
-0.05540530756... |
In this task, you're given a fill-in-the-blank question that contains two object names. Additionally, you're given one answer which is one of the objects present in the question. In this task, you need to minimally change the given question so that the answer flips to another object in the question. Remember the questi... | The man tried to fit his briefcase inside the cubicle but the _ was too large.
| 0 | NIv2 | task034_winogrande_question_modification_object | fs_opt | [
0.8212207555770874,
0.3149665296077728,
-0.05664083734154701,
-0.11300341784954071,
0.5642615556716919,
-0.7655821442604065,
0.9368908405303955,
1.0625503063201904,
-0.7785088419914246,
-0.26773500442504883,
-0.421725332736969,
0.15268245339393616,
-0.5493209958076477,
0.22469209134578705,... |
Detailed Instructions: This task is to translate the English language Input to Telugu Language Output
Q: OZ LOTTO comes from Australia. Tattersall's leading OZ LOTTO game.
A: | OZ లోట్టో ఆస్ట్రేలియా నుండి వచ్చింది . Tattersall ప్రముఖ OZ లోట్టో గేమ్ . | 9 | NIv2 | task1616_cc_alligned_translate_eng_tel | zs_opt | [
-0.0829572081565857,
1.106154203414917,
0.13390129804611206,
0.019965793937444687,
0.3874742090702057,
-0.9599469304084778,
0.05072862282395363,
-0.22363679111003876,
-0.3157927989959717,
-0.532138466835022,
0.14149174094200134,
0.5026894211769104,
-0.4706234335899353,
-0.37052562832832336... |
instruction:
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
question:
6, 10, ['E', '... | d, R, v, 3193
| 9 | NIv2 | task091_all_elements_from_index_i_to_j | fs_opt | [
0.3273274898529053,
-0.3519338071346283,
-0.369020015001297,
-0.46160927414894104,
-0.1816413253545761,
-0.6797099709510803,
0.972111701965332,
0.3364344537258148,
-0.9015350937843323,
0.25743114948272705,
-0.7915405035018921,
0.06481282413005829,
-0.30734801292419434,
-0.04789171740412712... |
You are given a movie review in the French language. You need to predict its sentiment. Output a 0 for negative sentiment and a 1 for positive sentiment.
One example: Si vous cherchez du cinéma abrutissant à tous les étages,n\'ayant aucune peur du cliché en castagnettes et moralement douteux,"From Paris with love" est ... | 0 | 6 | NIv2 | task1591_allocine_classification | fs_opt | [
0.3052510917186737,
0.2779843211174011,
-0.11039930582046509,
0.5298847556114197,
0.7363656759262085,
-0.5358551740646362,
0.7510673999786377,
0.7606685161590576,
-0.25567010045051575,
0.5750910043716431,
-0.3340378701686859,
0.41036584973335266,
-0.3026210069656372,
-0.42014798521995544,
... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into English.
Q: و این واقعیت که ۹۸ درصد از زنان در کشورم که سابقه رابطه جنسی را دارند مدعی اند که استفاده از ابزار پیشگیری از تقدس سکس برایشان چیزی کم نکرده.
A: | And the fact that 98 percent of women in my country who are sexually experienced say they use birth control doesn't make sex any less sacred. | 4 | NIv2 | task1265_ted_translation_fa_en | zs_opt | [
-0.32052120566368103,
0.6792106628417969,
-0.8593394756317139,
-0.3500310182571411,
-0.8715859651565552,
-0.2544695734977722,
0.5974770784378052,
0.7509856224060059,
0.11544225364923477,
-0.05826575309038162,
-1.0763156414031982,
0.7033078670501709,
-0.5980780124664307,
0.2919631004333496,... |
In this task, you will be presented with a question having multiple possible answers in Swahili language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Question: Je! Ni wapi fret kupata umakini mwingi uwezekano wa kupatikana?
Options: A suruali m... | C | 0 | NIv2 | task1144_xcsr_sw_commonsense_mc_classification | zs_opt | [
-0.2062736600637436,
0.38816824555397034,
-0.5271701216697693,
-0.25354868173599243,
-0.7270963191986084,
-0.5346327424049377,
0.9719714522361755,
0.2684743404388428,
0.545920729637146,
-0.4679470658302307,
0.07770392298698425,
0.2725725769996643,
-0.2790658175945282,
0.047320395708084106,... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in Spanish, generate a new Spanish sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have ... | Un comedor podría estar endurecido de madera. | 1 | NIv2 | task417_mickey_es_sentence_perturbation_generation | zs_opt | [
0.19760236144065857,
0.43383482098579407,
-0.40044042468070984,
-0.15445005893707275,
0.0825776755809784,
-0.42447665333747864,
0.13535383343696594,
1.2243708372116089,
-0.038046695291996,
-0.5809474587440491,
-0.11450701951980591,
0.04681666940450668,
-0.42618489265441895,
0.2899423837661... |
In this task, you are given an input i,A where i is an integer and A is an array. You need to find every ith element of A starting with the 1st element.
Example Input: 7, ['t', '823', '6359', 'k', 'c', '8831', '6063', '6683', 'f', 'u', 'd', '7503', 'J', '671', '7339', 'O', '7109', '2619', 'z', '2725', '5635', 'w', '45... | 9151, 8433, a
| 3 | NIv2 | task1542_every_ith_element_from_starting | fs_opt | [
0.7890923023223877,
-0.1176946610212326,
-0.8767012357711792,
-0.29788002371788025,
-0.3528340458869934,
-0.7243390679359436,
0.572636604309082,
0.5028727054595947,
-0.45980459451675415,
-0.17397212982177734,
-0.396029531955719,
-0.04791160672903061,
-0.39279377460479736,
0.325883924961090... |
instruction:
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element in the reverse order. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
que... | X, u
| 9 | NIv2 | task099_reverse_elements_between_index_i_and_j | fs_opt | [
0.012692061252892017,
-0.2556690275669098,
-0.41581985354423523,
-0.5602405667304993,
-0.1826678216457367,
-0.4874124526977539,
0.9854023456573486,
0.2463465929031372,
-0.6643843650817871,
0.2606535255908966,
-0.758435070514679,
0.2707265019416809,
-0.28149718046188354,
0.1652841567993164,... |
Given the task definition and input, reply with output. In this task, you're given a review from Amazon's food products. Your task is to generate a short summary of the given review in the input. Note that you don't need to write a complete sentence as a summary.
This is a great product. Great flavors and very fresh. ... | Babka | 5 | NIv2 | task589_amazonfood_summary_text_generation | zs_opt | [
-0.46332991123199463,
0.9047644138336182,
0.36919355392456055,
-0.1494644284248352,
-0.12662774324417114,
-0.08387267589569092,
0.6225762963294983,
0.30284222960472107,
-0.06592419743537903,
0.32985299825668335,
-0.08907494693994522,
-0.18492388725280762,
-0.504101037979126,
0.113936610519... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a background paragraph that describes one or more causal or qualitative relationships such as a relationship in economics or a scientific law and a story that makes use of the concepts ... | increased. | 0 | NIv2 | task061_ropes_answer_generation | fs_opt | [
-0.05286668241024017,
0.3074672818183899,
-0.38294893503189087,
-0.40091145038604736,
0.07922089099884033,
-1.0006464719772339,
0.34703442454338074,
1.2817835807800293,
-0.7164053916931152,
0.1657278835773468,
-0.7618687152862549,
-0.14033277332782745,
-1.2076042890548706,
0.14059552550315... |
Given the task definition and input, reply with output. In this task, you will be presented with a question in Dutch language, and you have to write the part-of-speech tag for each word and punctuation in the question. Here is the list of part-of-speech tags used in this task: Adj: Adjective, Adv: Adverb, Art: Article,... | Prep N V N V Conj N N Misc Punc | 5 | NIv2 | task1543_conll2002_parts_of_speech_tagging_answer_generation | zs_opt | [
-0.8508603572845459,
0.3032854199409485,
0.47780293226242065,
0.11208830773830414,
-0.1459549069404602,
0.12620428204536438,
0.33499494194984436,
-0.07547607272863388,
0.12326082587242126,
-0.12980139255523682,
0.026248082518577576,
0.3174564242362976,
-0.501752495765686,
0.169813409447669... |
In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/existing words removed. Yo... | Franny measured her boards just right. | 0 | NIv2 | task068_abductivenli_incorrect_answer_generation | zs_opt | [
0.7168506383895874,
0.6568500399589539,
-0.12131623178720474,
-0.05521377548575401,
-0.41189196705818176,
-0.1714005172252655,
0.4925273358821869,
0.08817972242832184,
-0.23900365829467773,
-0.5416082143783569,
-0.7383484244346619,
0.589111328125,
-0.882305383682251,
-0.11152763664722443,
... |
Teacher: You are given a statement written in Panjabi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Teacher: Now, understand the problem? If you are still confused, see the following example:
Statement: ਅਮ... | ਗੂਗਲ | 2 | NIv2 | task952_wiki_cloze_pa_multiple_choice_question_answering | fs_opt | [
0.41968801617622375,
0.2505436837673187,
0.026019740849733353,
-0.03576228767633438,
-0.17795401811599731,
-0.5410785675048828,
-0.3949265778064728,
0.1824713945388794,
0.18154948949813843,
0.47368383407592773,
-0.10592041909694672,
0.08088881522417068,
-0.5591489672660828,
-0.660444378852... |
Detailed Instructions: In this task, you are given a sentence in either Spanish or English. Your task is to determine the language of the input sentence. Input sentences can only be in Spanish or English, and they cannot be in two languages at the same time.
Problem:This all revolves around the kind of philosophy on ... | English | 8 | NIv2 | task533_europarl_es-en_language_identification | zs_opt | [
-0.6358023881912231,
0.6869611740112305,
0.9029474258422852,
-0.6572756767272949,
0.14081649482250214,
-0.87371826171875,
0.7630284428596497,
0.4217185974121094,
0.4259045720100403,
-0.7816919088363647,
-0.15335999429225922,
0.30007532238960266,
-0.3136020004749298,
-0.33818838000297546,
... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to classify the genre of the sentences from the 10 options displayed. Indicate your answer by entering the number of the choice as 1-10.
Sentence 1: One of the realities of corporations, after all, is that they're somewhat isolated ... | 6
| 0 | NIv2 | task198_mnli_domain_classification | fs_opt | [
-0.19292466342449188,
-0.01899709179997444,
0.2829555571079254,
-0.043133314698934555,
0.18078204989433289,
0.1788153499364853,
0.3515188694000244,
1.2395962476730347,
-0.0739627480506897,
0.21769338846206665,
-0.28569379448890686,
0.36463576555252075,
-0.2356582134962082,
-0.3195624947547... |
In this task, you are given two natural language statements with similar wording. You must choose the statement that makes less sense based on common sense knowledge. A '
' separates the statements. Use "first" or "second" to indicate which sentence makes less sense.
Something you find at a wedding is friends
Somethin... | second | 0 | NIv2 | task291_semeval_2020_task4_commonsense_validation | zs_opt | [
0.19932138919830322,
1.2114875316619873,
-0.5647626519203186,
-0.14335954189300537,
-0.46521154046058655,
-0.2325577586889267,
0.40309444069862366,
0.42422276735305786,
0.5535151958465576,
-0.14480987191200256,
-0.49087902903556824,
-0.6710241436958313,
-0.7528001070022583,
-0.200643122196... |
This task is about translating a given English language sentence to Yoruba language.
[EX Q]: Òfé, dweller-in-the-corridor, forward as oódẹ́ a sacrifice was prescribed for òfé, but he did not offer it; agánrán went ahead and offered the sacrifice; in the end òfé became a citizen of Ọyọ, while agánrán became a dweller i... | Àmọ́, ọ̀pọ̀ ni kò ní iná àti omi tí wọ́n máa lò nílùú Macau.
| 6 | NIv2 | task1685_menyo20k_translation | fs_opt | [
0.5570763945579529,
0.8499998450279236,
-0.6049174070358276,
-0.8152653574943542,
0.04660250246524811,
-0.6387946605682373,
0.16479119658470154,
0.8039489984512329,
0.43219390511512756,
-0.04792550206184387,
0.5164178609848022,
-0.12510541081428528,
-0.9573167562484741,
-0.7155337333679199... |
Detailed Instructions: A text is given in Tamil. Translate it from the Tamil language to the English language. The translation must not omit or add information to the original sentence.
Q: முன்னதாக, சுற்றுலா அமைச்சகம் 2010 ஆம் ஆண்டு இந்தியாவில் அனைவரும் வந்து பார்க்கும் வசதி கொண்ட சுற்றுலாவுக்கான பிரச்சினைகளும், வாய்ப்... | Earlier, the Ministry of Tourism has conducted a study on Problems and Prospects of Accessible Tourism in India in the year 2010. | 9 | NIv2 | task992_pib_translation_tamil_english | zs_opt | [
0.17693057656288147,
0.39672696590423584,
-0.25867149233818054,
-0.48686230182647705,
0.25859785079956055,
-1.1341421604156494,
0.19002632796764374,
0.11170981824398041,
-0.4028990566730499,
0.7591336965560913,
0.1748320609331131,
0.38396745920181274,
-0.16925391554832458,
0.02342978678643... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Japanese.
Input: Consider Input: النّاس ، مع ذلك ، يختلفون بعض الشّيء حول كمّ من اللوم بالضبط ينبغي أن يصل جريس في حالة الحادث.
Output: しかし人々は、「事故」の場合、彼女がいったいどの程度責められるべきかについてはいくらか異論を持ちます
Input: Consider Input: و تحت هذه النظرية ، ... | Output: あっという間にーデータが公表されているのを見て驚いた世界中の人々から連絡が届きました
| 2 | NIv2 | task1231_ted_translation_ar_ja | fs_opt | [
-0.33762043714523315,
0.16959527134895325,
-0.04005689173936844,
-0.47067150473594666,
-0.12438444048166275,
-0.8585992455482483,
0.5141229033470154,
-0.27838391065597534,
0.22288255393505096,
-0.3812617361545563,
-0.7883875370025635,
0.7645488977432251,
-0.2906600832939148,
0.305064111948... |
This task is about translating a given English language sentence to Spanish.
Let me give you an example: It's this amazing wonderful feeling and you know it when you get it.
The answer to this example can be: Es ese sentimiento asombroso e increíble, y lo reconoces cuando lo sientes.
Here is why: This is a good exampl... | Por lo que es realmente los escenarios de pepino que dicen, si el alumno envía este código, esto es lo que el out, salida de la clasificadora de auto debe ser y realmente nos stub todas de especificación r para simular cómo obtiene sus deberes evaluador. | 8 | NIv2 | task1691_qed_amara_translation | fs_opt | [
-0.8962714672088623,
0.5952639579772949,
0.6832917332649231,
-0.437627375125885,
-0.7108809351921082,
-1.5119237899780273,
0.19577549397945404,
1.1972370147705078,
-0.0014340056804940104,
0.10480417311191559,
0.0563492476940155,
-0.07828626781702042,
-0.30044424533843994,
0.163971081376075... |
In this task, you are given a sentence in Arabic, and your task is to translate it into English.
[EX Q]: Distr.
[EX A]: English
[EX Q]: وماذا أيضأ؟
[EX A]: What else?
[EX Q]: هو يطلب منني الإرسال شخص ما إلى سونوما، إكتشف الذي كان يبقى هناك، الذي لربّما جعل النداء.
[EX A]: | He's asked me to send someone to Sonoma, find out who was staying there, who might have made the call.
| 6 | NIv2 | task650_opus100_ar_en_translation | fs_opt | [
-0.4382895827293396,
-0.16599714756011963,
0.31752753257751465,
-0.8395801186561584,
-0.20821860432624817,
-0.11489811539649963,
0.16139645874500275,
-0.4201671779155731,
0.4742565155029297,
0.034299805760383606,
-0.23630471527576447,
0.40644705295562744,
-1.1257047653198242,
0.10175080597... |
Given the task definition and input, reply with output. In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
George Hudson is the individual that proposed the concept of a specific modern practice, what is the full name of the individual miscredited ... | Benjamin Franklin | 5 | NIv2 | task1295_adversarial_qa_question_answering | zs_opt | [
0.4732975959777832,
0.5978837013244629,
0.2849845588207245,
-0.3595508635044098,
0.02550715208053589,
-0.5771287083625793,
-0.6109951734542847,
0.29117128252983093,
-0.3281818628311157,
-0.1151905357837677,
-0.8809523582458496,
0.2956141233444214,
-0.5756133794784546,
-0.7616584300994873,
... |
Detailed Instructions: Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that... | jump thrice after jump around right twice | 9 | NIv2 | task127_scan_long_text_generation_action_command_all | zs_opt | [
0.04035406932234764,
1.1222407817840576,
-0.35283997654914856,
-0.2803620398044586,
0.023136045783758163,
0.4421711564064026,
0.2112371027469635,
0.6808614730834961,
-0.4446456730365753,
-0.3456382751464844,
-0.8953437209129333,
-0.07839637249708176,
-0.7964974641799927,
0.0002313154982402... |
Instructions: Given a sentence in Spanish, generate a new Spanish sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable proba... | Los instrumentos musicales son dispositivos utilizados para sintetizar música. | 3 | NIv2 | task417_mickey_es_sentence_perturbation_generation | zs_opt | [
-0.025231298059225082,
0.9638279676437378,
-0.9799401760101318,
0.11221982538700104,
0.19035321474075317,
-0.3564004898071289,
0.36290234327316284,
1.0945522785186768,
0.18415653705596924,
-0.37165147066116333,
-0.7028892636299133,
-0.04179275780916214,
-0.17676612734794617,
-0.33988094329... |
Detailed Instructions: The input contains a debate topic, an argument on the topic and a keypoint, separated by "<sep>". Your task is to answer if the keypoint matches the argument and summarizes exactly what the argument means, in the context of the given topic.
Problem:Topic: We should legalize prostitution<sep>Argum... | True | 8 | NIv2 | task1285_kpa_keypoint_matching | zs_opt | [
-0.35339200496673584,
0.6057442426681519,
-0.20443272590637207,
-0.13787277042865753,
-0.27533620595932007,
-0.036448948085308075,
-0.13774287700653076,
0.345711886882782,
0.5551869869232178,
0.26619452238082886,
-0.36520180106163025,
-0.04274575039744377,
-0.059241943061351776,
-0.4043629... |
Given the task definition, example input & output, solve the new input case.
Given a sentence in Japanese, provide an equivalent paraphrased translation in Spanish that retains the same meaning both through the translation and the paraphrase.
Example: 1975 - 76年のNBAシーズンは、全米バスケットボール協会の30番目のシーズンでした。
Output: La temporad... | La antigua escuela de gramática se convirtió en la Escuela Superior, mientras que el nuevo edificio se convirtió en la Escuela Inferior. | 1 | NIv2 | task816_pawsx_japanese_spanish_translation | fs_opt | [
0.4130118489265442,
-0.2090582251548767,
-0.1653306931257248,
0.004058510530740023,
0.3785572648048401,
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0.5023033618927002,
0.9741084575653076,
0.39840883016586304,
-0.10654376447200775,
-0.21234402060508728,
0.6931921243667603,
-0.8681505918502808,
-0.1919617801904678... |
Teacher:In this task, you will be presented with an English sentence, and you have to translate it into Arabic.
Teacher: Now, understand the problem? Solve this instance: By all rights, he should be dead.
Student: | بكل صراحةً , فأنه كان مِن المفترض أن يمُت | 6 | NIv2 | task651_opus100_en_ar_translation | zs_opt | [
0.617374062538147,
0.7185736894607544,
0.8461283445358276,
-1.26885986328125,
-0.2057744413614273,
0.032954998314380646,
1.0022265911102295,
0.28716713190078735,
0.38383010029792786,
0.17118887603282928,
-0.29349979758262634,
0.16505761444568634,
-0.752312183380127,
-0.015106628648936749,
... |
The task is to generate text based off of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons intent behind doing the event, i.e. why did the person do that action.
Example Input: PersonX pulls PersonY's close
Example Output: to s... | to go to the store
| 3 | NIv2 | task1596_event2mind_text_generation_2 | fs_opt | [
-0.3674728274345398,
0.8552318811416626,
0.05265100300312042,
-0.20958702266216278,
-0.2963947355747223,
-0.32121750712394714,
0.9659366607666016,
0.6032689213752747,
0.09021402150392532,
-0.48092547059059143,
-0.41333895921707153,
-0.011355942115187645,
-0.6148440837860107,
0.184700101613... |
In this task, you will be presented with an English sentence, and you have to translate it into Arabic.
Example input: But if the shares belong to Geoffrey Charles, well, then George cannot touch them.
Example output: لكن لو كانت الأسهم بإسم جوفري تشارلز لن يمكن لجورج المساس بهم.
Example explanation: This is a good ex... | ... من يعلم ماذا كنتِ تفعلين هناك أيضاً و نحن لا نعرفه ... | 3 | NIv2 | task651_opus100_en_ar_translation | fs_opt | [
-0.054444484412670135,
0.6083086729049683,
-0.036229971796274185,
-0.8629117608070374,
-0.19303932785987854,
-0.25495439767837524,
0.5243802070617676,
0.12152910232543945,
0.21909092366695404,
-0.5132176876068115,
-0.49798914790153503,
0.2893286347389221,
-0.8113869428634644,
-0.3380284309... |
You will be given a definition of a task first, then some input of the task.
In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same lengt... | Yes | 1 | NIv2 | task114_is_the_given_word_longest | zs_opt | [
-0.5007668137550354,
0.4665541648864746,
0.20966914296150208,
-0.30827999114990234,
-0.3363896608352661,
-0.4258509874343872,
0.35885176062583923,
0.6231776475906372,
0.05891210958361626,
-0.16274994611740112,
-0.7763881683349609,
-0.17434902489185333,
-0.15059782564640045,
0.0284189246594... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English.
Q: E existem várias razões.
A: And there are many reasons for this.
****
Q: Penso em Transformers, em como os painéis abrem e dobram, dobram para fora e depois fecha-se o painel.
A: I think of like, Transformers, l... | It's a difficult and expensive commodity, until now.
****
| 4 | NIv2 | task1274_ted_translation_pt_en | fs_opt | [
-0.07619926333427429,
0.4299091100692749,
0.04834514111280441,
-0.08376596868038177,
-0.33378493785858154,
-0.40063315629959106,
-0.04926218092441559,
0.6133649349212646,
0.4952104985713959,
-0.07750529050827026,
0.083999864757061,
0.5710417032241821,
-0.2592073082923889,
0.547412216663360... |
You will be given a definition of a task first, then some input of the task.
You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to find the correct answer (and return the string of the correct option, not option1/2) for the given question from the given... | Two eggs. | 1 | NIv2 | task164_mcscript_question_answering_text | zs_opt | [
0.794703483581543,
0.9164146184921265,
-0.14388281106948853,
0.16618390381336212,
-0.44468429684638977,
-0.05965740233659744,
1.1643972396850586,
0.6147010922431946,
-0.4879869222640991,
-0.32835304737091064,
-0.07054787874221802,
0.24578644335269928,
-0.29385775327682495,
0.26835751533508... |
Given a sentence in the Central Khmer, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Example Input: "ដោយសារបញ្ហានេះ យើងបានជ្រើសរើសយ៉ាងប្រុងប្រយ័ត្នវិធីខ្លះដើម្បីធ្វើការប្រយុទ្ធជាច្រើនដែលអាចរក្សាការឈានមុខរហូតដល់ទីបញ្ចប់។"
Exam... | LW12-2クラスの女子チェアスキーでは、ビクターもダウンヒルでスタートできなかった。
| 3 | NIv2 | task1122_alt_khm_ja_translation | fs_opt | [
-0.10915914177894592,
-0.12660646438598633,
-0.6212989091873169,
-0.6882338523864746,
-0.11654882878065109,
-0.42530351877212524,
0.46679115295410156,
-0.015879368409514427,
-0.3200494349002838,
-0.4514409005641937,
-0.8660871982574463,
0.776177167892456,
-0.866637647151947,
0.564605236053... |
You are given a sentence, a question and two answer options ('A' and 'B'). Your task is to find the correct answer (return the string of the correct option, not 'A' or 'B') for the given question.
Sentence: Harry has always been stronger then Fred. Question: Which person can throw the greater distance? (A) Harry (B) F... | Harry | 0 | NIv2 | task1378_quarel_correct_answer_generation | zs_opt | [
0.41437312960624695,
0.9137164354324341,
0.006205698940902948,
-0.7303588390350342,
-0.8358269929885864,
-1.2945152521133423,
0.6618181467056274,
0.44979360699653625,
0.9467287063598633,
-0.8355721235275269,
-1.6295568943023682,
0.26049697399139404,
0.05202542990446091,
-0.0050508338026702... |
Given the task definition and input, reply with output. Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. ... | walk opposite right twice after walk twice | 5 | NIv2 | task129_scan_long_text_generation_action_command_short | zs_opt | [
0.06720320880413055,
0.8089271783828735,
-0.40744757652282715,
0.1360737830400467,
-0.2251954972743988,
0.3020864725112915,
0.22051972150802612,
0.2714579701423645,
-0.27703678607940674,
-0.18901216983795166,
-0.7364053726196289,
-0.38439980149269104,
-0.5104814767837524,
0.054692886769771... |
In this task, your goal is to judge a correct answer to a given question based on an associated paragraph and decide if it is a good correct answer or not. A good correct answer is one that correctly and completely answers the question. A bad correct answer addresses the question only partially or incorrectly. If you t... | Yes. | 8 | NIv2 | task056_multirc_classify_correct_answer | fs_opt | [
0.4715709090232849,
0.11627881228923798,
-0.5341149568557739,
0.30210351943969727,
-0.03657199814915657,
-0.5487659573554993,
0.29619109630584717,
1.3765075206756592,
0.7765942811965942,
0.35623371601104736,
-0.47638511657714844,
0.4620359539985657,
-0.4065795838832855,
-0.2197307050228119... |
Detailed Instructions: You are given an amazon food product review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False".
See one example below:
Problem: I have bought several of the Vitality canned dog food products and have f... | False | 4 | NIv2 | task587_amazonfood_polarity_correction_classification | fs_opt | [
-0.1909881979227066,
-0.5845680832862854,
0.14745482802391052,
0.24122977256774902,
-0.20977720618247986,
-0.17783591151237488,
1.2562590837478638,
0.5571596026420593,
0.13676872849464417,
-0.2801363170146942,
-0.19020414352416992,
-0.10159701853990555,
-0.9945720434188843,
-0.130698055028... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
Example: 地球が今よりも無垢だった時代を訪れたかのようでした
Output: كان الأمر كزيارة أكثر عصور البراءة على كوكب الأرض
The Japanese sentence is correctly translated into A... | وقالت: "" أرجوك يا رب اجعلهم ينقذوني "" لوحت بذراعيها وشعرت بأنها ظلت تصرخ لساعتين | 1 | NIv2 | task1224_ted_translation_ja_ar | fs_opt | [
-0.2807651460170746,
0.6781870126724243,
-0.5208936929702759,
-0.05475040525197983,
-0.7546229362487793,
-0.14656254649162292,
0.45846670866012573,
0.02777491882443428,
-0.12598544359207153,
0.005615659058094025,
-0.6040180921554565,
0.46328893303871155,
-0.3388780355453491,
-0.10993401706... |
Detailed Instructions: In this task you will be given a list of integers. You should only return an integer if the first digit is the same as the last digit in the number. If an integer has a single digit, then it should be returned. If there are no integers that start and end with the same digit then an empty list ("[... | [808] | 9 | NIv2 | task372_synthetic_palindrome_numbers | zs_opt | [
-0.5227015018463135,
0.1722005158662796,
-0.21472372114658356,
-0.4096399247646332,
-0.4191517233848572,
-0.023082664236426353,
0.6407872438430786,
-0.15550114214420319,
-0.4941857159137726,
0.21522973477840424,
-0.3755367398262024,
-0.26540911197662354,
-0.5169188976287842,
-0.01329061202... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
Let me give you an example: życiu stawić czoła Granicę przekrocz "" Będziesz wolna "", już ktoś tam woła. Kobiety nadziei Kobiety zmian Kobiety wojny i bólu Czuję waszą siłę tak ona powiedziała Jeśli czujesz się bezsilna, pom... | שזה חסכון. (צחוק) עכשיו, קניתי את זה לפני המון שנים ואני לא צוחק | 8 | NIv2 | task1260_ted_translation_pl_he | fs_opt | [
-0.367307186126709,
0.6198892593383789,
-0.6289270520210266,
0.1844659000635147,
-0.2503001391887665,
-0.8040142059326172,
1.4328629970550537,
0.35340726375579834,
0.6339787244796753,
-0.09533621370792389,
-0.9756882786750793,
0.5803625583648682,
-1.825552225112915,
-0.08297637104988098,
... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Portugese.
[EX Q]: فما كان مني إلا أن اخترعت مائة فنان من حول العالم
[EX A]: Então o que eu fiz foi inventar uma centena de artistas de todos os cantos do mundo.
[EX Q]: أخذ بعض المال ، ونحن سوف نأخذ ماله. هذا سيلقنه درسا.
[EX A]: F... | Cópias de segurança de 16 milímetros.
| 6 | NIv2 | task1109_ted_translation_ar_pt | fs_opt | [
-0.45649901032447815,
0.40107038617134094,
-0.08319757878780365,
-0.6347082853317261,
-0.3105809688568115,
0.07499486207962036,
0.3293580412864685,
0.3355156481266022,
0.6655550003051758,
-0.19024857878684998,
-0.2063066065311432,
-0.3623436689376831,
-0.9843002557754517,
0.354829311370849... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
特にリチャード・コシャレックのお蔭でディズニー・ホールの話が来たと言える特にリチャード・コシャレックのお蔭でディズニー・ホールの話が来たと言える | ریچارد کوشالک می شود گفت یکی از دلایل اصلی است که پروژه دیزنی به من رسید. | 0 | NIv2 | task1098_ted_translation_ja_fa | zs_opt | [
-0.4119132459163666,
0.24522912502288818,
-0.6335973143577576,
-0.09902848303318024,
-0.3106669783592224,
-0.24846193194389343,
0.10944004356861115,
-0.6168267726898193,
0.4975980818271637,
-0.1443137377500534,
0.5800185203552246,
-0.28280967473983765,
-1.2439008951187134,
0.49190348386764... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
--------
Question: נכון? זוכרים בקמפיין, מיליון מכוניות היברידיות עד 2015.
Answer: Right? Remember in the campaign: one million hybrid cars by 2015.
Question: אני לא יכולה להמליץ על זה, כי כרגע החידה כל כך קשה והרשת כל כך ... | We talked to people who have developed drugs.
| 7 | NIv2 | task1234_ted_translation_he_en | fs_opt | [
-0.707638680934906,
-0.030825991183519363,
0.3877064883708954,
0.13852354884147644,
-0.626946747303009,
-0.9051886796951294,
0.40428826212882996,
0.15940725803375244,
0.4734480381011963,
-0.3471999764442444,
-0.1043984666466713,
0.4936186969280243,
-0.1382058560848236,
0.15911315381526947,... |
You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two or more complete sentences connected without any punctuation). The poem should not be too long or too complex, because it ... | almost every afternoon i eat jelly with a spoon every evening right at 6:00 i eat jelly with a stick | 0 | NIv2 | task1711_poki_text_generation | zs_opt | [
-0.8955820798873901,
1.890165090560913,
0.358873575925827,
-0.9630069732666016,
-0.4507603347301483,
-0.2969173192977905,
0.19765309989452362,
0.4739435017108917,
-0.13537752628326416,
-0.868969202041626,
-0.23298101127147675,
0.3086106777191162,
-0.592440128326416,
-0.023051882162690163,
... |
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to classify the genre of the sentences from the 10 options displayed. Indicate your answer by entering the number of the choice as 1-10.
Q: Sentence 1: Federal Communications Competitive Bidding Procedures Se... | 1 | 9 | NIv2 | task198_mnli_domain_classification | zs_opt | [
-0.7154259085655212,
-0.03230667486786842,
0.5205837488174438,
-0.2364843636751175,
0.2268410474061966,
0.6037238836288452,
-0.04673779755830765,
0.8806428909301758,
-0.6385045051574707,
0.3745468258857727,
-0.8753470182418823,
-0.5259407758712769,
-0.31741589307785034,
-0.737195611000061,... |
Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so the users can decide to read the main text or not.
--------
Question: Now he... | getting annoyed and insulting my friends because I trust them
| 7 | NIv2 | task500_scruples_anecdotes_title_generation | fs_opt | [
0.3241168260574341,
0.1676746904850006,
-0.36138203740119934,
-0.31165382266044617,
0.326003760099411,
-0.4203169643878937,
1.3538075685501099,
0.9613897800445557,
-0.20208844542503357,
-0.08794957399368286,
0.10260523110628128,
1.051858901977539,
-0.796259343624115,
-0.14574754238128662,
... |
Q: In this task, you need to write an incorrect answer to the given question. Along with the question, you are also given the correct answer(s) and the associated paragraph. An incorrect answer should be closely related to the content of the paragraph and/or the question but will not truthfully answer the question. You... | Art. | 7 | NIv2 | task055_multirc_write_incorrect_answer | zs_opt | [
0.8822563886642456,
0.7242141366004944,
-1.1306512355804443,
0.14964090287685394,
-0.13282188773155212,
-1.854801893234253,
-0.14520326256752014,
1.2846328020095825,
-0.3382951021194458,
0.3102163076400757,
-0.1553248167037964,
0.10273364186286926,
-0.7027094960212708,
-0.400051474571228,
... |
Given the task definition and input, reply with output. Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individua... | I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_LEFT I_RUN | 5 | NIv2 | task128_scan_structured_text_generation_command_action_short | zs_opt | [
0.17128971219062805,
0.8172153234481812,
-0.26332056522369385,
0.3978464901447296,
0.05663155019283295,
-0.08939637243747711,
-0.14385846257209778,
0.5059052109718323,
-0.34451746940612793,
-0.22416089475154877,
-0.8586301803588867,
-0.3782369792461395,
-0.4214959144592285,
-0.287153929471... |
Definition: In this task, you are given an english sentence and a kurdish sentence you have to determine if they both are faithful translations of each other.
Construct an answer that is 'Yes' if the second 'Kurdish' sentence is a translation of 'English' sentence and 'No' otherwise
In... | No | 2 | NIv2 | task910_bianet_classification | zs_opt | [
0.18464356660842896,
0.09112602472305298,
0.8318845629692078,
-0.395954966545105,
0.001876125461421907,
-0.030809085816144943,
-0.07968775928020477,
0.23482847213745117,
-0.1975974142551422,
0.36460763216018677,
-0.13060826063156128,
0.40089383721351624,
-0.8859385251998901,
0.213387787342... |
Given a sentence in Bulgarian, generate a new Bulgarian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of ... | Output: Ще чуеш тълпата да полудява, защото искаш отборът ти да победи.
| 2 | NIv2 | task415_mickey_bg_sentence_perturbation_generation | fs_opt | [
0.10747408866882324,
0.6628752946853638,
0.13143765926361084,
-0.6592006683349609,
0.33076411485671997,
-0.6897161602973938,
0.7811490297317505,
1.3684746026992798,
0.6135929226875305,
0.5281044840812683,
-0.7078734636306763,
0.7440097332000732,
-0.7323354482650757,
0.22828733921051025,
... |
Detailed Instructions: In this task, you are given books product reviews in German language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
See one example below:
Problem: Effektiv und mit viel Spaß lernen . ... | NEG | 4 | NIv2 | task479_cls_german_books_classification | fs_opt | [
-0.16860359907150269,
0.07166814059019089,
-0.12717656791210175,
-0.46488580107688904,
0.8295562863349915,
0.053494445979595184,
1.4393733739852905,
0.40803951025009155,
0.4522916078567505,
0.4121696352958679,
-0.31474611163139343,
-0.05022629722952843,
-0.48585373163223267,
-0.02249294705... |
In this task, you get an English sentence and a corresponding Spanish translation of the English sentence. Your task is to return a "Yes" if the translation is correct, otherwise return "No"
English: Finally, allow me to remind you that the third letter of the EDD Group to which I belong stands for 'difference' .
Sp... | Yes | 0 | NIv2 | task532_europarl_en-es_classification | zs_opt | [
-0.3780372738838196,
0.06537426263093948,
0.12692922353744507,
-0.6112757325172424,
-0.07763436436653137,
-0.9182251691818237,
0.8911492824554443,
0.3441564440727234,
0.11436507850885391,
-0.35196810960769653,
0.052148304879665375,
0.15586525201797485,
-0.9320565462112427,
-0.2857253849506... |
You are given a paragraph, a question and some answer options (associated with "A", "B", "C", "D", etc.) You need to list all the correct answer options with their associated letters (e.g. "A" can be a valid answer). Note that sometimes, more than one option can answer the question correctly and completely. In those ca... | A, D. | 3 | NIv2 | task058_multirc_question_answering | fs_opt | [
0.4158468544483185,
0.10950708389282227,
-0.5138735771179199,
0.566646933555603,
0.20087043941020966,
-0.22890521585941315,
0.3514239192008972,
1.454410433769226,
0.8093528747558594,
0.41537055373191833,
-0.4956306517124176,
0.5018160343170166,
-0.030996179208159447,
-0.11585938930511475,
... |
In this task, you have to generate the named entities (NER) given its ingredients of the recipe. Named entities are the names of the items without their quantity.
Let me give you an example: 1 3/4 cups all purpose flour, 1/4 cup finely ground blanched almonds, 1 teaspoon grated lemon zest, 1/2 cup confectioners sugar,... | flour, salt, cream of tartar, water, food coloring | 8 | NIv2 | task570_recipe_nlg_ner_generation | fs_opt | [
-0.0006146481027826667,
0.25147420167922974,
0.08521930873394012,
0.6691610813140869,
0.020286429673433304,
-0.3469963073730469,
0.45504480600357056,
0.7799612879753113,
-0.7867739200592041,
0.22821587324142456,
-0.20923803746700287,
-0.18368253111839294,
-0.637742817401886,
-0.37981766462... |
In this task, you're given five sentences, numbered 1 through 5. Your job is to generate a title for the story that makes complete sense. The title must be short, with less than three words, use simple language, and include the main topic of the story.
One example is below.
Q: Sentence 1: Marcus needed clothing for a b... | James Watches A Movie | 9 | NIv2 | task219_rocstories_title_answer_generation | fs_opt | [
0.032981984317302704,
0.6567085385322571,
0.20910342037677765,
-0.5003308653831482,
0.27536606788635254,
-0.32637453079223633,
0.1596611738204956,
0.6411057114601135,
-0.03832817077636719,
0.5176748037338257,
-0.943049430847168,
-0.26407191157341003,
-0.6916364431381226,
0.1020724475383758... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | No | 0 | NIv2 | task1207_atomic_classification_atlocation | zs_opt | [
0.2511540949344635,
0.27811360359191895,
0.4369567930698395,
-0.04618912935256958,
-0.612769603729248,
-0.5745987296104431,
1.0696474313735962,
0.4976625442504883,
-0.4709317088127136,
-0.4979604184627533,
-0.6951154470443726,
-0.45738616585731506,
-0.6180127859115601,
0.3960762619972229,
... |
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