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 |
|---|---|---|---|---|---|---|
Detailed Instructions: In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.
Problem:Sentence1: 'a person sitting on a bench looking at a field and skyline', Sentence2: 'a teenager riding a skateboard down a street'. Is the frequency of the word 'field' in two se... | No | 8 | NIv2 | task159_check_frequency_of_words_in_sentence_pair | zs_opt | [
-0.49341723322868347,
0.2466256022453308,
-0.26982176303863525,
-0.2820644676685333,
-0.054777681827545166,
-0.595974326133728,
0.655329167842865,
1.1583280563354492,
0.39501333236694336,
0.16472041606903076,
-0.7669764757156372,
-0.2722141146659851,
-0.1870526671409607,
0.0086137708276510... |
You will be given a definition of a task first, then some input of the task.
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 The names of specific people have been replaced by generic words (e.g., PersonX, Pers... | No | 1 | NIv2 | task1209_atomic_classification_objectuse | zs_opt | [
0.27626848220825195,
0.3447646498680115,
0.3782571256160736,
-0.22236038744449615,
-0.4914838671684265,
-1.2250494956970215,
0.9699941873550415,
0.20032033324241638,
-0.9878730773925781,
-0.4790782928466797,
-0.6853972673416138,
-0.647621214389801,
-0.2203270047903061,
0.1427188217639923,
... |
In this task, you are given sentences from movie reviews. The task is to classify a sentence as "POS" if the sentiment of the sentence is positive or as "NEG" if the sentiment of the sentence is negative
Q: For devotees of French cinema , Safe Conduct is so rich with period minutiae it 's like dying and going to cellul... | POS | 4 | NIv2 | task363_sst2_polarity_classification | zs_opt | [
-0.969221830368042,
-0.2618403434753418,
0.10877309739589691,
-0.4488922357559204,
-0.05979044735431671,
-0.4885958731174469,
0.5125424265861511,
0.19907450675964355,
-0.01473160833120346,
0.8387813568115234,
-0.4349208474159241,
-0.8268402218818665,
0.616138756275177,
-0.21299290657043457... |
Definition: You are given two sentences. You have to find if there is entailment or agreement of the Hypothesis by the Premise. From the given pair of sentences, you should identify if there is enough information in the Premise to support the claim made in the Hypothesis. The Premise may not exactly be the same as Hypo... | neutral | 2 | NIv2 | task1529_scitail1.1_classification | zs_opt | [
-0.482458233833313,
0.4808100461959839,
0.03610173612833023,
0.41604477167129517,
-0.06900490820407867,
-0.572274386882782,
0.3999873101711273,
-0.3372800350189209,
0.5661716461181641,
-0.20048688352108002,
-0.9536042809486389,
0.2273404449224472,
-0.5848833918571472,
0.324343740940094,
... |
In this task, you are given an input list A. You need to extract and sort the unique digits used in the list in ascending order. Return -1 if there is no digit in the list.
[EX Q]: ['d', '71', '65', '177', 'k']
[EX A]: 1, 5, 6, 7
[EX Q]: ['k', '409', '333', '283', 'm', '489', '377', '439', '443', 'r', '101', 'n', '35... | 1, 2, 3, 5
| 6 | NIv2 | task637_extract_and_sort_unique_digits_in_a_list | fs_opt | [
-0.3412865400314331,
0.28057292103767395,
-0.433022141456604,
-1.0187044143676758,
-0.36735808849334717,
0.7251988649368286,
1.2811086177825928,
-0.1461576670408249,
-0.41754278540611267,
0.3149988055229187,
-0.3689626455307007,
-0.36679190397262573,
-0.8849260210990906,
0.0548596270382404... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew.
Problem:１週間分の装いを紹介したいのですが
Solution: | והייתי רוצה להראות לכם את מציאות השבוע שלי עכשיו. | 8 | NIv2 | task1225_ted_translation_ja_he | zs_opt | [
-0.6619976758956909,
0.047534286975860596,
-0.10311117768287659,
-0.12063116580247879,
-0.35170286893844604,
-0.455466628074646,
0.37961727380752563,
-0.28750598430633545,
0.521712064743042,
-0.521987795829773,
-0.41991713643074036,
0.2274637222290039,
-0.188588947057724,
0.581656217575073... |
Teacher:This task is to translate a news commentary given in Italian language into Zhuang language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Teacher: Now, understand the problem? Solve this inst... | 全方位的改善对美国竞争力的复苏至关重要。但迎接上述挑战需要美国其余的30%——尤其是私人资本开支保持强劲的增长势头。由于美国消费可能会持续低迷，同样这30%还必须继续担负起疲弱的经济复苏重担。 | 6 | NIv2 | task1376_newscomm_translation | zs_opt | [
-0.6305283308029175,
0.35666877031326294,
-0.15230104327201843,
-0.5998960733413696,
-0.2650161385536194,
-0.07382149249315262,
0.5551136136054993,
0.968804657459259,
-0.10751558840274811,
0.018786458298563957,
0.07685650885105133,
0.3944755792617798,
-0.5212112069129944,
-0.46346306800842... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English.
Q: وهناك بحث يُظهر أن التحيزات السياسية هي أعمق وأقوى من التحيزات العرقية في بلادنا اليوم.
A: And there's research showing that political prejudices are deeper and stronger than race prejudices in the country now.
****
Q: أ... | PM: Yeah, the house lights and we'll see you all better and be able to fly the plane better.
****
| 4 | NIv2 | task1230_ted_translation_ar_en | fs_opt | [
-0.6000896692276001,
0.45638900995254517,
0.633763313293457,
-0.6027830839157104,
-0.33198705315589905,
-0.6999878287315369,
0.5679881572723389,
0.8264318704605103,
0.561133623123169,
0.34924742579460144,
-0.5992560386657715,
0.20109370350837708,
-0.515069842338562,
0.13225503265857697,
... |
Given the task definition and input, reply with output. Given a sentence in the Japanese and Central Khmer language. Your task is check if the Khamer sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: サンフランシスコを拠点とする政策提言グループの電子フロンティア財団は... | Yes | 5 | NIv2 | task1123_alt_ja_khm_answer_generation | zs_opt | [
-0.3106473684310913,
-0.4819974899291992,
0.4375864267349243,
-0.6236097812652588,
0.1945650279521942,
-0.3044479489326477,
0.5622246265411377,
0.229195699095726,
-0.29760807752609253,
-0.02472393959760666,
0.35582029819488525,
0.25824427604675293,
-0.8819234371185303,
-0.1656324416399002,... |
Q: In this task, you will be presented with a question, and you have to write the part-of-speech tag for each word in the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Prep... | IN DT NN IN DT NN IN `` JJ '' , DT JJ NN VBD VBN IN WP NN . | 7 | NIv2 | task345_hybridqa_answer_generation | zs_opt | [
0.16069352626800537,
0.3013383150100708,
-0.1969146877527237,
0.560745120048523,
0.01921161077916622,
-0.9457362294197083,
1.1708208322525024,
0.4734686017036438,
-0.500431478023529,
-0.33931654691696167,
-0.477341890335083,
0.4975438714027405,
-0.3045187294483185,
0.035136640071868896,
... |
Detailed Instructions: You are given an original reference as well as a system reference. Your task is to judge the quality of the system reference. If the utterance is grammatically correct and fluent output 1, else output 0.
Q: System Reference: i am sorry i am not finding any hotels in the upper market area.
Origina... | 1 | 9 | NIv2 | task1283_hrngo_quality_classification | zs_opt | [
-0.8715099692344666,
0.8149424195289612,
-0.6379183530807495,
0.23441293835639954,
-0.29698002338409424,
-1.0713859796524048,
0.8103396892547607,
0.7195236682891846,
-0.3571065366268158,
-0.16670945286750793,
-0.587497889995575,
0.2912504971027374,
-0.384469598531723,
-0.11596015095710754,... |
Instructions: In this task, you are given a summary for US Congressional and California state bill, your task is to generate a Title for this bill. The preferred titles are under forty words and mention the purpose of the bill.
Input: Southeastern Oregon Development Act This bill directs the Department of Agriculture (... | Southeastern Oregon Development Act | 3 | NIv2 | task1659_title_generation | zs_opt | [
-0.5116568803787231,
0.1408422589302063,
-0.45941856503486633,
0.17530317604541779,
0.21130770444869995,
-0.7747517824172974,
0.44419580698013306,
1.008027195930481,
-0.570536732673645,
0.21431845426559448,
-0.5553861260414124,
0.5248457193374634,
-0.5817013382911682,
-0.16702382266521454,... |
Part 1. Definition
In this task, you are given a sentence from the Bible in English, and your task is to translate it into Persian.
Part 2. Example
In the beginning God created the heaven and the earth.
Answer: در ابتدا، خدا آسمانها و زمین را آفرید.
Explanation: This is a good example. The above sentence is correctly t... | و خداوند به موسی گفت: «این شخص البته کشته شود، تمامی جماعت او را بیرون از لشکرگاه با سنگها سنگسارکنند.» | 7 | NIv2 | task655_bible_en_fa_translation | fs_opt | [
-0.20911669731140137,
1.3850493431091309,
-0.38015538454055786,
-0.27335503697395325,
-0.27042946219444275,
-0.30564916133880615,
1.2706551551818848,
0.5388420820236206,
0.30611851811408997,
0.4539392590522766,
-1.0196781158447266,
0.4914478659629822,
-0.8915714025497437,
-0.28587394952774... |
Detailed Instructions: 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 buildin... | I_TURN_LEFT I_TURN_LEFT I_RUN I_TURN_LEFT I_TURN_LEFT I_RUN I_WALK | 9 | NIv2 | task126_scan_structured_text_generation_command_action_all | zs_opt | [
0.03505375236272812,
0.8238407373428345,
-0.3646816611289978,
0.34803542494773865,
-0.13802692294120789,
0.17104151844978333,
0.1803329735994339,
-0.06065100431442261,
-0.0675373375415802,
-0.3283268213272095,
-0.6789236068725586,
0.1728215515613556,
-0.5433077812194824,
0.0360562428832054... |
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 sexually offensive, 2) no, otherwise. Emphasis on sexually offensive or any lewd reference. Generate label 'no' for offensive posts that do not referen... | No | 7 | NIv2 | task608_sbic_sexual_offense_binary_classification | fs_opt | [
-0.8332358598709106,
0.38619372248649597,
0.15142613649368286,
0.2079988420009613,
0.17612561583518982,
0.312917023897171,
0.6167929172515869,
0.3083534240722656,
0.24558931589126587,
-0.05017291009426117,
0.18501442670822144,
-0.09656684100627899,
-0.5910576581954956,
-0.29793643951416016... |
In this task, you're given an article and an answer. Your task is to generate the question for the answer based on the given article.
[Q]: Article: An 18-year-old student was struggling to pay his fees. Not knowing where to get the money, he and a friend decided to host a musical concert to raise money for their educa... | Why did Thomas Hopkins Gallaudet sail to London?
| 5 | NIv2 | task311_race_question_generation | fs_opt | [
0.8579356074333191,
0.11218327283859253,
-0.496285080909729,
0.0241844579577446,
0.6571767330169678,
-0.3518706262111664,
0.6988493800163269,
0.24594947695732117,
0.1561044454574585,
0.25253427028656006,
0.37610700726509094,
0.5342317819595337,
-0.7067067623138428,
0.12824147939682007,
0... |
Given the task definition and input, reply with output. Given a sentence, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
Verify if the sentiment of the following document to... | yes | 5 | NIv2 | task422_persent_sentence_sentiment_verification | zs_opt | [
-1.7928271293640137,
0.12025375664234161,
0.5013366937637329,
0.05915912240743637,
0.11422701179981232,
-0.8842583298683167,
0.20540328323841095,
0.25030550360679626,
0.19680553674697876,
0.15287432074546814,
0.28795790672302246,
-0.22191303968429565,
0.46116605401039124,
-0.18692353367805... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a statement and three sentences as choices. Your job is to determine the neutral choice based on your inference from the statement and your commonsense knowledge. The neutral choice is a sentence that neither agrees ... | 1 | 1 | NIv2 | task201_mnli_neutral_classification | fs_opt | [
0.20626957714557648,
0.7143425345420837,
-0.3414759337902069,
0.26150742173194885,
0.24204668402671814,
-0.18873149156570435,
-0.15970946848392487,
0.7792255878448486,
0.31458789110183716,
-0.5765358209609985,
-0.2610841393470764,
-0.47951340675354004,
0.014934373088181019,
-0.336612105369... |
Q: In this task you are given a premise and two alternatives in Chinese. You must choose the alternative that is more plausibly the cause or effect of the situation described by the premise. The input format is "premise
(1)alternative_1(2)alternative_2", the output should either be "1" or "2" based on your judgment.
爆米... | 2 | 7 | NIv2 | task1184_xcopa_commonsense_reasoning_zh | zs_opt | [
-0.32381606101989746,
0.2453864961862564,
-0.11363306641578674,
0.15878069400787354,
-0.14452964067459106,
0.13275019824504852,
0.38917022943496704,
1.0660109519958496,
-0.025676993653178215,
-0.22503244876861572,
-0.5039251446723938,
-0.058122552931308746,
0.1624162495136261,
-0.225338384... |
In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected sentence.
Statement: Was the drawer unlocked?" Choices: 1. During your searc... | 3 | 0 | NIv2 | task202_mnli_contradiction_classification | zs_opt | [
0.3666042983531952,
0.13378861546516418,
-0.2409147471189499,
-0.16340425610542297,
0.11768078058958054,
-0.14215950667858124,
0.2960159182548523,
0.9386898279190063,
-0.13737145066261292,
0.1390545815229416,
-0.3861271142959595,
-0.4021707773208618,
-0.5055809020996094,
-0.970423340797424... |
You are given a math word problem and you are supposed to make use of mathematical concepts like probability, combinatorics, linear equations, sequences/series, or simple operators like addition, subtraction, division, or multiplication to answer the given question. Choose the best option from the 5 given options and r... | Output: Option E
| 2 | NIv2 | task750_aqua_multiple_choice_answering | fs_opt | [
0.6442380547523499,
0.07602162659168243,
-0.49366095662117004,
-0.5146069526672363,
0.31653323769569397,
-0.41857415437698364,
0.4115254580974579,
0.10380835086107254,
-0.16905103623867035,
0.3147178888320923,
-1.0573076009750366,
0.8633503317832947,
-0.7944371700286865,
-0.074052259325981... |
Definition: Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
Input: What did no When did the Channel 4 documentary Undercover Mosque air?
Output: | When did the Channel 4 documentary Undercover Mosque air? | 2 | NIv2 | task1195_disflqa_disfluent_to_fluent_conversion | zs_opt | [
-0.6820638179779053,
1.2223771810531616,
0.6838349103927612,
-0.10250755399465561,
0.03434498608112335,
1.314960241317749,
0.8153461217880249,
0.9418879151344299,
-0.048544786870479584,
0.38194364309310913,
-0.005057311151176691,
-1.4962811470031738,
-0.9649433493614197,
-0.480462729930877... |
Definition: In this task, you need to count the number of times the given letter appears in the given sentence.
Input: Sentence: 'the two giraffes walk in the heavily weeded area'. Find frequency of the letter 'f'
Output: | 2 | 2 | NIv2 | task113_count_frequency_of_letter | zs_opt | [
-0.9227583408355713,
0.6091554164886475,
-0.5266132354736328,
-0.7755239605903625,
0.38918668031692505,
-0.2152799814939499,
0.46827173233032227,
0.2603868842124939,
0.21871604025363922,
-0.027292270213365555,
-1.4029489755630493,
-0.029302818700671196,
-0.5379200577735901,
-0.041650317609... |
Teacher: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 that the selec... | bc | 6 | NIv2 | task221_rocstories_two_choice_classification | zs_opt | [
-0.5450760722160339,
0.32110655307769775,
-0.05475617200136185,
-0.5502200722694397,
-0.29956018924713135,
-0.011257680132985115,
0.47656866908073425,
1.0142039060592651,
0.22411566972732544,
0.4131911098957062,
0.14256182312965393,
-0.38871049880981445,
-0.0243135467171669,
-0.62935012578... |
In this task, you are given a post in English from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it should be labeled as... | Hateful
| 1 | NIv2 | task333_hateeval_classification_hate_en | fs_opt | [
-0.6557503938674927,
0.25408488512039185,
0.7083901166915894,
0.4876800775527954,
-0.12720634043216705,
-0.27320533990859985,
0.489122599363327,
0.8316683769226074,
0.4225618243217468,
0.5199546813964844,
-0.21582145988941193,
0.7371318936347961,
-0.4096166491508484,
-0.7536787986755371,
... |
You are given a sentence in English. Your job is to translate the English sentence into Japanese.
[Q]: (Applause) Thank you.
[A]: （ 拍手 ） ありがとう
[Q]: Many new applications will come about that we don't know today.
[A]: 私たちの知らない応用法が沢山出てくることでしょう
[Q]: I wasn ’ t actually very interested in whether they were all differe... | 実際1つ1つが違っていることは求めていません
| 5 | NIv2 | task1218_ted_translation_en_ja | fs_opt | [
-0.15809565782546997,
0.3448391556739807,
0.5110246539115906,
-0.2860921323299408,
0.12540416419506073,
-1.172767162322998,
0.5052986145019531,
-0.36200472712516785,
0.8796126842498779,
-0.4136607348918915,
-0.2947799563407898,
0.3128126561641693,
-0.1838572770357132,
0.33943456411361694,
... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the numerical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no numerical element is in the list.
--------
Question:... | 1, 2, 7, 8, 10, 12, 16
| 7 | NIv2 | task507_position_of_all_numerical_elements_in_list | fs_opt | [
-0.17281869053840637,
0.01584348827600479,
-0.228458434343338,
-0.23534633219242096,
0.04706437513232231,
-0.5135006904602051,
0.9000040888786316,
0.5167635679244995,
-0.7268346548080444,
0.43850529193878174,
-0.7493533492088318,
0.09481479972600937,
-0.5284035205841064,
0.2096333801746368... |
instruction:
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Polish.
question:
A atividade no cometa é esta.
answer:
To aktywność komety.
question:
E eu disse, "" Vão lê-lo. "" E eles tipo, "" Oh, aquele não era tão fantástico. "" E depois fomos para outro — não tinha boa... | Wiedza to coś, co odróżnia nas od małp.
| 9 | NIv2 | task1281_ted_translation_pt_pl | fs_opt | [
-0.17082208395004272,
0.8547896146774292,
-0.35207507014274597,
-0.5083092451095581,
-0.0659198984503746,
-0.29620933532714844,
0.8201603889465332,
0.1454467475414276,
0.6163813471794128,
-0.7147356271743774,
-0.7349039316177368,
-0.31915727257728577,
-0.1608317792415619,
0.127894192934036... |
In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the gendered pronouns in the text and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable.
Q: Sentence: ... | Identifiable | 4 | NIv2 | task351_winomt_classification_gender_identifiability_anti | zs_opt | [
-0.6056874394416809,
0.8044682741165161,
0.05072149261832237,
-0.7065540552139282,
0.14606735110282898,
-0.0673585832118988,
-0.2233533412218094,
1.1625237464904785,
0.5270790457725525,
0.09981504082679749,
-0.7431734800338745,
-0.2762591540813446,
0.04310810565948486,
-0.25521400570869446... |
In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to arrange the sentences in order to make a story that makes complete sense and is apt for the title. Indicate your answer using the number of the sentences in order, such as '34152'.
One example is below.
Q:... | 15342 | 9 | NIv2 | task217_rocstories_ordering_answer_generation | fs_opt | [
0.2872292101383209,
-0.10432735085487366,
-0.09914721548557281,
0.07747170329093933,
0.33260899782180786,
0.0036133246030658484,
-0.1764344573020935,
1.263336420059204,
-0.015182685106992722,
0.2479345053434372,
-0.9683202505111694,
-0.28916430473327637,
-0.9271558523178101,
0.343326449394... |
Given the task definition and input, reply with output. In this task, you are given a question and an answer. Answer "Yes" if the given answer correctly answers the question, otherwise answer "No".
What did the hollywood blacklist have to do with McCarthy, Answer: The term is also now used more generally to describe r... | No | 5 | NIv2 | task1294_wiki_qa_answer_verification | zs_opt | [
-0.7655767798423767,
0.49075910449028015,
0.33084502816200256,
0.3587070107460022,
-0.3525804281234741,
0.09807679802179337,
0.16613739728927612,
0.05148503929376602,
0.8170977830886841,
0.009419342502951622,
-0.4856662154197693,
0.14567270874977112,
-0.08631493151187897,
-0.01767603866755... |
Detailed Instructions: In this task, you are given a text of the article. Your task is to generate a headline (title) for this article.
Q: ireland captain trent johnston believes his team can improve if they get more exposure against top teams like australia despite suffering a nine-wicket mauling at the hands of the w... | cricket : ireland UNK despite australia mauling by UNK UNK | 9 | NIv2 | task288_gigaword_summarization | zs_opt | [
0.8442186117172241,
0.6493430137634277,
-0.4179774224758148,
-0.48038387298583984,
0.40674129128456116,
-1.1467766761779785,
0.6681525707244873,
0.01045739371329546,
-0.5805104970932007,
-0.043242666870355606,
-0.1878928244113922,
0.47933611273765564,
-1.1406089067459106,
0.157779097557067... |
A text is given in Marathi. Translate it from the Marathi language to the Telugu language. The translation must not omit or add information to the original sentence.
Example input: ఈ సంస్థ పేలుడు పదార్థాలు, కంప్రెస్డ్ గ్యాసెస్ ఇంకా పెట్రోలియమ్ ల వంటి పదార్థాల తాలూకు భద్రతను నియంత్రించేందుకు ఒక నోడల్ ఏజెన్సీ గా... | राष्ट्रपतीजीं हा विषय बोलले आहेत. | 3 | NIv2 | task1028_pib_translation_telugu_marathi | fs_opt | [
0.03392547369003296,
0.5896321535110474,
0.3488868772983551,
-0.49800097942352295,
0.516732394695282,
-1.7526452541351318,
0.4047504663467407,
0.663489043712616,
-0.5898890495300293,
0.7942808866500854,
-0.6621325016021729,
-1.0138771533966064,
-0.40693968534469604,
-0.388639897108078,
0... |
Instructions: In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False".
Input: Paragraph: Cardio-vascular disease... | True | 3 | NIv2 | task1162_coda19_title_classification | zs_opt | [
0.7121783494949341,
0.8246927261352539,
-0.17398159205913544,
0.01542567927390337,
0.1720491498708725,
-0.7151240110397339,
0.6074845194816589,
0.5725952386856079,
0.32700929045677185,
0.5724658966064453,
-1.0245916843414307,
-0.2509971261024475,
-1.3936023712158203,
0.3886392116546631,
... |
Given the task definition and input, reply with output. In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
"Black Angel" is minor whodunit, with June Vincent as a woman trying to save her husband from the el... | negative | 5 | NIv2 | task284_imdb_classification | zs_opt | [
-0.9687384963035583,
0.47929930686950684,
-0.3448053002357483,
-0.1592903584241867,
-0.0473475456237793,
0.5996752977371216,
0.5136719942092896,
0.5189645886421204,
0.3223377466201782,
0.6592695713043213,
0.0594605952501297,
-0.03646920248866081,
-0.5506539344787598,
-0.06662917137145996,
... |
Given the task definition and input, reply with output. Given a sentence, fill out the missing word with a 'no' or a number (between zero and ten). You should write the numbers with english alphabet, like: four instead of 4.
Many people only have ____ or two hives.
| one | 5 | NIv2 | task1359_numer_sense_answer_generation | zs_opt | [
-0.1656959354877472,
0.6794257164001465,
0.30134764313697815,
-0.17302536964416504,
0.11963027715682983,
-0.22530603408813477,
0.4609034061431885,
0.3432033061981201,
-0.3173362910747528,
-0.5286632776260376,
-0.4530545473098755,
-0.24306951463222504,
-0.12090101838111877,
-0.2658110857009... |
Given the task definition, example input & output, solve the new input case.
Turn the given fact into a question by a simple rearrangement of words. This typically involves replacing some part of the given fact with a WH word. For example, replacing the subject of the provided fact with the word "what" can form a valid... | What is one thing studied in immunology? | 1 | NIv2 | task040_qasc_question_generation | fs_opt | [
0.20019873976707458,
0.8766376972198486,
-0.05412047728896141,
0.2571679353713989,
-0.14009782671928406,
-0.7388975620269775,
0.5135271549224854,
1.256746530532837,
0.14369164407253265,
-0.11006864905357361,
-1.3883228302001953,
0.2539460361003876,
-0.1884615421295166,
-0.13045382499694824... |
TASK DEFINITION: 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 pr... | Es probable que tires una serpiente en tu propia casa.
| 8 | NIv2 | task417_mickey_es_sentence_perturbation_generation | fs_opt | [
-0.11860419809818268,
0.8139451742172241,
-0.320415735244751,
-0.4887138307094574,
-0.21830153465270996,
-0.023463517427444458,
1.0110101699829102,
1.2633415460586548,
0.38504159450531006,
-0.3800177574157715,
-0.7079885005950928,
0.31591367721557617,
-0.40011563897132874,
0.57558572292327... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
This task is about translating a given English language sentence to French.
How shall we inscribe intent on all the objects we create, on all the circumstances we create, on all the places we change... | Et c"était vraiment sa force, je crois, qui devint une espèce de maturité prématurée qui a été un guide dans ma vie. | 0 | NIv2 | task1689_qed_amara_translation | fs_opt | [
0.24164167046546936,
0.7113099098205566,
0.668573260307312,
-0.20665493607521057,
0.16447579860687256,
-0.8549264669418335,
0.8695010542869568,
-0.16958662867546082,
0.6854554414749146,
-0.35470300912857056,
-0.11497112363576889,
0.2323639988899231,
-0.11551260948181152,
0.3841095566749573... |
Instructions: Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
Input: This book is very poorly written and organized. The author should go ba... | Bad review | 3 | NIv2 | task929_products_reviews_classification | zs_opt | [
-0.7483903169631958,
0.1185120940208435,
0.10159456729888916,
-0.38504326343536377,
0.6031334400177002,
-0.6635972261428833,
0.5251205563545227,
0.944493293762207,
-0.03742082789540291,
0.6818739175796509,
-0.5052893161773682,
0.06387768685817719,
-0.5753071904182434,
-0.418717622756958,
... |
In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language.
One example: Un bărbat pune brânză mărunțită pe o pizza.
Solution is here: A man is spreading shreded cheese on a pizza.
Explanation: In the given translation process, the tense of ... | A woman picks up a baby kangaroo. | 6 | NIv2 | task1435_ro_sts_parallel_language_translation_ro_to_en | fs_opt | [
-0.6203267574310303,
0.5909974575042725,
0.4035494923591614,
-0.03913949057459831,
-0.10405297577381134,
0.1569378823041916,
0.79491126537323,
1.0608139038085938,
0.5313959121704102,
-0.15906286239624023,
-0.4391191005706787,
0.8993333578109741,
-0.7161054611206055,
-0.031893014907836914,
... |
Given a document, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
Let me give you an example: Verify if the sentiment of the following document towards the entity Bill Clinto... | yes | 8 | NIv2 | task423_persent_document_sentiment_verification | fs_opt | [
-0.45279383659362793,
0.00524898711591959,
-0.06479833275079727,
0.7601107358932495,
0.04647337272763252,
-1.3057215213775635,
0.864589273929596,
0.9587936401367188,
-0.2054818868637085,
0.36064237356185913,
-0.5259154438972473,
0.8434789180755615,
0.19200891256332397,
-0.3464348316192627,... |
Given a sentence with a missing word, pick the answer option that best fills out the missing word in the sentence. Indicate each answer with its index ('a', 'b', 'c', 'd').
Let me give you an example: Female snakes incubate eggs inside of their bodies, giving birth to live young of ____ or more. \Question: Choose the ... | d | 8 | NIv2 | task1360_numer_sense_multiple_choice_qa_generation | fs_opt | [
-0.6802223324775696,
0.44383108615875244,
-0.566768229007721,
-0.2500269412994385,
-0.34969663619995117,
-0.10708656907081604,
0.25550323724746704,
0.6043440699577332,
-0.2414202094078064,
0.2958770990371704,
0.05817732214927673,
0.19368746876716614,
-0.8450800180435181,
0.0809167027473449... |
TASK DEFINITION: Given a sentence in French, generate a new French 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 prob... | Un cheval peut sauter une clôture.
| 8 | NIv2 | task406_mickey_fr_sentence_perturbation_generation | fs_opt | [
-0.19114303588867188,
0.6084606647491455,
-0.0965869352221489,
-0.008291755802929401,
0.020195722579956055,
0.473283588886261,
1.397589087486267,
0.21325483918190002,
0.14479947090148926,
-0.4325602054595947,
-0.592422366142273,
-0.04211648553609848,
-0.8341515064239502,
0.1906630694866180... |
Teacher:In this task, you're given an article and an answer. Your task is to generate the fill-in-the-blank question for this answer based on the given article. The blanks are always at the end of the question, and can be filled with more than one word or phrase.
Teacher: Now, understand the problem? Solve this instanc... | Some participants can sleep well through loud noises mainly because _ . | 6 | NIv2 | task649_race_blank_question_generation | zs_opt | [
0.782407820224762,
0.29396116733551025,
-0.4374527335166931,
-0.1840137541294098,
0.10681649297475815,
-0.24252218008041382,
0.7228165864944458,
0.42508959770202637,
-0.26296985149383545,
0.0931851789355278,
-0.400505006313324,
0.2521226108074188,
-0.5419452786445618,
-0.2565849721431732,
... |
Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast', 'biology', 'people', 'influence', 'baseball', 'spaceflight', 'media_common'... | location | 3 | NIv2 | task900_freebase_qa_category_classification | fs_opt | [
0.35658755898475647,
0.4355471134185791,
0.2712135910987854,
-0.33277857303619385,
0.1623934507369995,
0.15657763183116913,
-0.138925701379776,
0.5081092119216919,
-0.17428302764892578,
0.08611257374286652,
0.053951386362314224,
-0.2096184492111206,
-0.23270830512046814,
-0.153891384601593... |
Instructions: Generate an appropriate title for the given text. The generated title must be short and include the main topic of the text. The preferred titles are under fifteen words.
Input: The proposals are designed to replace a current grass pitch on the Crichton Estate in Dumfries. The Architectural Heritage Societ... | Dumfries football pitch approval advised | 3 | NIv2 | task1356_xlsum_title_generation | zs_opt | [
0.2683340311050415,
0.6056884527206421,
-0.6828478574752808,
-0.25981849431991577,
0.3537057638168335,
-1.3675122261047363,
-0.0061344606801867485,
0.24180427193641663,
0.3512193560600281,
0.08177627623081207,
0.18649156391620636,
0.8642432689666748,
-0.18291866779327393,
0.050807084888219... |
Detailed Instructions: In this task, you will be shown an English sentence. You need to classify the sentence as either a representation of an adjunct island or as an incorrect representation. A correct representation should be denoted as 'good' while everything else should be denoted as 'bad'. A correct representation... | bad | 9 | NIv2 | task1559_blimp_binary_classification | zs_opt | [
0.09703432023525238,
0.7174694538116455,
0.39403337240219116,
-0.7507268190383911,
-0.18807260692119598,
-1.0235198736190796,
0.27937448024749756,
-0.1760094165802002,
0.48658087849617004,
-0.6644442081451416,
0.04053426906466484,
-0.0017493914347141981,
-0.5080702304840088,
0.299683719873... |
Q: Combine the given two facts to write a concluding fact. Note that there should be some parts of the first and second facts that are not mentioned in this conclusion fact. Your combined fact should be the result of a chain between the two facts. Chains form when two facts connect together to produce a concluding fact... | The stomach breaks food into nutrients for the body. | 7 | NIv2 | task038_qasc_combined_fact | zs_opt | [
0.15112417936325073,
0.8502951860427856,
-0.3238039016723633,
-0.11349610239267349,
-0.4725579619407654,
-0.82403564453125,
-0.24094882607460022,
0.797188401222229,
-0.6488215327262878,
-0.1965116560459137,
-0.872412919998169,
0.21901869773864746,
-0.8003727197647095,
0.2906551659107208,
... |
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 are given a sentence. You must judge whether the main verb of the sentence is in present or past tense. Label the instances as "Present" or "Past" based on your judgment. If there is... | Past | 0 | NIv2 | task429_senteval_tense | fs_opt | [
-0.46173256635665894,
1.090182900428772,
0.022978400811553,
-0.4363211393356323,
-0.0966203436255455,
0.34860759973526,
0.7791397571563721,
0.8631243109703064,
0.39932385087013245,
0.1424761712551117,
-0.24002274870872498,
0.04131335765123367,
-0.5903054475784302,
-0.0699118822813034,
0.... |
Detailed Instructions: In this task, you will be given a passage, a question and a list of single-word events identified from the passage. The goal is to point out all events from the given event list that can answer the question. If a question is unanswerable or none of the events answer the question, output should be... | ability | 4 | NIv2 | task390_torque_text_span_selection | fs_opt | [
0.34053102135658264,
0.517519474029541,
-0.27148860692977905,
-0.07017219066619873,
-0.578376293182373,
-0.30853456258773804,
0.5531079769134521,
0.9310466051101685,
0.02645401656627655,
0.5574864745140076,
-0.26298296451568604,
-0.058504410088062286,
-0.7982118725776672,
0.208818197250366... |
Detailed Instructions: In this task, you are given a Reddit post as a text. Your task is to generate a short summary for this text. The summary must include a situation which caused humor. The summary should be one or two sentences long.
See one example below:
Problem: Text: quick backstory: i am a duel enrollment stud... | accidentally snort ky. blood nose ruins bedding and sexy time. | 4 | NIv2 | task511_reddit_tifu_long_text_summarization | fs_opt | [
0.1510423719882965,
0.5169113874435425,
-0.2171257585287094,
-0.4308851361274719,
0.4120439887046814,
-0.39294928312301636,
0.6736555099487305,
0.8642719984054565,
-0.0376979224383831,
0.03439689427614212,
-0.2875217795372009,
0.24107703566551208,
-0.37496864795684814,
-0.02937353961169719... |
Given the task definition and input, reply with output. Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast', 'biology', 'people'... | people | 5 | NIv2 | task900_freebase_qa_category_classification | zs_opt | [
-0.04786220192909241,
0.8651955127716064,
0.3177645206451416,
-0.42137694358825684,
0.52231764793396,
-0.3663070797920227,
-0.10221420228481293,
0.4631340801715851,
0.1863251030445099,
-0.41601598262786865,
-0.0010169746819883585,
0.0690605565905571,
-0.6253800392150879,
-0.490915149450302... |
In this task you will be given a list of numbers. You should remove any number that is not an integer (whole number). If every number is not an whole number then an empty list ("[]") should be returned. Otherwise, answer with the list of whole numbers separated by comma inside brackets.
Input: Consider Input: [-29, 46... | Output: [-53, -85]
| 2 | NIv2 | task367_synthetic_remove_floats | fs_opt | [
-0.08316847681999207,
0.32367604970932007,
-0.4456596374511719,
-0.3755776584148407,
-0.08126257359981537,
0.024833783507347107,
0.7845567464828491,
0.36343932151794434,
-0.12411859631538391,
0.1758522242307663,
-0.859106719493866,
0.15980616211891174,
-0.1256393939256668,
-0.2754383087158... |
You are given a sentence in English. Your job is to translate the English sentence into Persian.
Let me give you an example: In the southwestern part of Nigeria, the plant is known as Gbe'borun.
The answer to this example can be: در جنوب غرب نیجریه ، این گیاه به عنوان Gbe 'borun شناخته می شود.
Here is why: The Engli... | نامه رو به بانک چشم ای میل کردم اونها اهداء رو هماهنگ کرده بودن اسم اون بنیاد چشم Old Dominion بود. و ازشون خواستم نامه رو به دست اهلش برسونن. | 8 | NIv2 | task1093_ted_translation_en_fa | fs_opt | [
0.14609290659427643,
0.1679987907409668,
0.3906305432319641,
-0.1421363353729248,
-0.20151108503341675,
-1.138576626777649,
0.9758766889572144,
0.10437449812889099,
0.34225642681121826,
0.17338073253631592,
-0.6781030893325806,
0.17439551651477814,
-1.3364932537078857,
0.7383195161819458,
... |
In this task, find the most appropriate number to replace the blank (indicated with _ ) and express it in words.
One example: A lion has _ legs.
Solution is here: four
Explanation: The most logical numeric answer in words is four.
Now, solve this: Conifer seeds are very complex structures, containing cells from _ gene... | three | 6 | NIv2 | task672_nummersense | fs_opt | [
0.0881437361240387,
0.500400185585022,
-0.4134092926979065,
-0.4741289019584656,
-0.45527663826942444,
-0.42585593461990356,
0.3758273422718048,
0.32214978337287903,
-0.09804914891719818,
-0.6979594230651855,
-0.24740689992904663,
0.33691054582595825,
-1.1087266206741333,
0.34870645403862,... |
TASK DEFINITION: Given a passage with a question and an answer to that question, classify if the answer actually answers the question into 'yes' or 'no'. Output 'yes' if the answer answers the question and output 'no' if the answer does not answer the question.
PROBLEM: Question: Are all cues created equal : the case f... | no
| 8 | NIv2 | task846_pubmedqa_classification | fs_opt | [
-0.650444746017456,
-0.20688360929489136,
-0.35245513916015625,
0.3549448251724243,
-0.21358409523963928,
-0.08436259627342224,
1.1652085781097412,
0.402446985244751,
0.3950749635696411,
0.1667095571756363,
-0.23607531189918518,
-0.14650726318359375,
-0.26773178577423096,
0.476381182670593... |
Here are two questions (Question1 and Question2). If these questions have the same meaning and same answer, answer "Yes", otherwise "No".
--------
Question: Question1: What is the etymology of the word ' man '?, Question2: What is the etymology of the word China?
Answer: No
Question: Question1: Does upload speed aff... | No
| 7 | NIv2 | task1287_glue_qqp_paraphrasing | fs_opt | [
-0.26401424407958984,
0.1416163295507431,
-0.18941214680671692,
0.014345838688313961,
0.2558814585208893,
-0.23860448598861694,
0.1323266625404358,
1.004497766494751,
-0.055961769074201584,
-0.09379269182682037,
-0.4598035216331482,
-0.5754307508468628,
-0.8387235403060913,
0.1945268809795... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Farsi.
One example: E eu continuo a pensar que o transporte é o centro deste universo.
Solution is here: من همچنان معتقدم که حمل و نقل کانون مشکلات جهان است.
Explanation: The Portugese sentence is correctly translated into Far... | پژوهشی از جان گاتمن هست درباره ازدواج درمانی. | 6 | NIv2 | task1282_ted_translation_pt_fa | fs_opt | [
-0.37454283237457275,
0.6709897518157959,
0.4668792188167572,
-0.09882310032844543,
-0.40811336040496826,
-0.18655171990394592,
0.46400508284568787,
0.4835667610168457,
-0.08393317461013794,
0.0030115339905023575,
-0.980097770690918,
0.7516802549362183,
-0.3024335503578186,
0.5017257332801... |
Given the task definition and input, reply with output. In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators:
1. count: returns... | select the rows whose gp gs record is equal to 14 . there is only one such row in the table . the season record of this unqiue row is 2009 . | 5 | NIv2 | task110_logic2text_sentence_generation | zs_opt | [
0.06874959170818329,
-0.09418827295303345,
-0.11282604187726974,
0.11988606303930283,
0.08529981970787048,
-0.40545880794525146,
0.18634572625160217,
0.2959109842777252,
0.06776972860097885,
-0.34661614894866943,
-0.5833753943443298,
-0.11405793577432632,
0.25553515553474426,
0.38895303010... |
Definition: In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each citing text. ... | holding that erisa preempts claims for breach of contract breach of duty of good faith and fair dealing and negligent misrepresentations | 2 | NIv2 | task287_casehold_legal_incorrect_answer_generation | zs_opt | [
0.3644159436225891,
0.3137904405593872,
0.09782443940639496,
-0.07200159132480621,
0.2798711657524109,
-1.0007330179214478,
0.0707247406244278,
1.2953944206237793,
-0.46894654631614685,
0.16196459531784058,
-0.2429124414920807,
0.4500521421432495,
-0.49266454577445984,
0.10362902283668518,... |
Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Hebrew.
Input: مرة أخرى ، هذه سيراليون.
Output: | הנה שוב סיירה לאונה. | 3 | NIv2 | task1233_ted_translation_ar_he | zs_opt | [
-0.38116395473480225,
0.5626797676086426,
-0.15089349448680878,
-0.02555234730243683,
0.11895637959241867,
0.7807278633117676,
0.044578853994607925,
0.0583813413977623,
0.6695218086242676,
-0.8075132369995117,
-0.5967963933944702,
-0.4176526963710785,
-0.12505802512168884,
0.11750379204750... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Portugese.
Example: ولكن ماهي حقوق الإنسان ؟
Example solution: Mas o que são direitos humanos?
Example explanation: The Arabic sentence is correctly translated into Portugese, because the meaning is preserved.
Problem: كريس: هذا الخب... | Solution: CA: Essa foi uma boa notícia. A má notícia é que para fazer isso, ele teve que conduzir a uma velocidade constante de 29 Km por hora e foi mandado encostar pela Polícia. (Risos) EM: Quero dizer, certamente que se pode conduzir — se se conduzir a 105 Km por hora, sob condições normais, 400 Km é um número razoá... | 5 | NIv2 | task1109_ted_translation_ar_pt | fs_opt | [
0.18838247656822205,
0.7453552484512329,
-0.038588184863328934,
-0.5074638724327087,
-0.9154441356658936,
-0.21938790380954742,
0.4639582335948944,
0.6994051933288574,
0.01814810372889042,
-0.10313989222049713,
-1.489026665687561,
0.07792311161756516,
-0.8635735511779785,
0.147477015852928... |
Q: In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update provides additional inf... | strengthener | 7 | NIv2 | task935_defeasible_nli_atomic_classification | zs_opt | [
0.1922561079263687,
0.4104748070240021,
-0.3441169857978821,
0.04885105416178703,
0.19711703062057495,
-1.0842928886413574,
1.3897056579589844,
0.9910523295402527,
0.6527901887893677,
-0.5834861397743225,
-1.0997422933578491,
-0.019649185240268707,
-0.6538664102554321,
0.1672927439212799,
... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given a list of dictionaries. A dictionary is a set of key-value pairs, where each key is unique and has a value associated with that key. You should sort the list of dictionaries from smallest to largest by their 'fir... | [{'first': -40, 'second': 48}, {'first': -4, 'second': -88}, {'first': -3, 'second': 91}, {'first': 9, 'second': 6}, {'first': 22, 'second': -71}, {'first': 54, 'second': 7}] | 1 | NIv2 | task123_conala_sort_dictionary | zs_opt | [
-0.4406018853187561,
0.25634780526161194,
-0.2817615866661072,
-0.2755940854549408,
0.3356439173221588,
0.2907755970954895,
0.5469107627868652,
0.22287806868553162,
0.3597414493560791,
-0.2596028447151184,
-0.5670973062515259,
-0.6188675165176392,
-0.4703177511692047,
-0.27335643768310547,... |
In this task, you will be shown a passage. You need to write a fill-in-the-gap question based on your understanding of the events that might be inferred from the passage. Your question should be answerable based on the passage and only have one correct answer. Show the gap in your question with a _ .
One example: For f... | When the business collapsed two weeks ago, the father of Mr Beniac-_ reportedly started personally paying back the teenage investors to start clearing his son's debts. | 6 | NIv2 | task301_record_question_generation | fs_opt | [
0.03665735945105553,
0.32307642698287964,
-0.47804194688796997,
-0.25298869609832764,
-0.026634089648723602,
0.7229987382888794,
0.02229210175573826,
1.1516419649124146,
-0.37891048192977905,
0.27957606315612793,
0.20967042446136475,
0.3788174092769623,
-1.0040934085845947,
-0.056010324507... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Galician. Your job is to translate the Galician sentence into Italian.
A nosa desgraza é que non podemos vela.
Output: | Il nostro dramma è che non possiamo vederla. | 1 | NIv2 | task1243_ted_translation_gl_it | zs_opt | [
-0.0018161955522373319,
1.4865474700927734,
0.7016724348068237,
-0.8165028095245361,
-0.19954749941825867,
-0.23273847997188568,
0.12823335826396942,
0.8798432350158691,
-0.01860721781849861,
0.15353229641914368,
-0.24334114789962769,
0.17453265190124512,
0.24341830611228943,
0.23165577650... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
A tu widzicie domy spokojnej starości na zachodnim wybrzeżu Florydy. | Son casas de xubilados na costa oeste da Florida. | 0 | NIv2 | task1261_ted_translation_pl_gl | zs_opt | [
-0.9080981016159058,
0.7323458790779114,
-0.6298496723175049,
-1.380905032157898,
-0.18940958380699158,
-0.6195966005325317,
1.0529874563217163,
0.24195894598960876,
-0.2769964337348938,
-0.34389233589172363,
0.09189480543136597,
0.5793778896331787,
-0.3385555148124695,
0.4617464542388916,... |
Part 1. Definition
This task is about translating a given French language sentence to English.
Part 2. Example
Vous avez fait quelque chose de tellement bien aujourd'hui ! Pourquoi vous m'évitez ?
Answer: You did such a great thing today, why are you avoiding me?
Explanation: This is a good example because the French s... | A few hundred miles away in Dayton Ohio, | 7 | NIv2 | task1690_qed_amara_translation | fs_opt | [
-0.4846827983856201,
1.0370917320251465,
0.3693644106388092,
-0.2808520197868347,
0.33581483364105225,
-0.835972785949707,
0.27361688017845154,
-0.1151757687330246,
0.525031566619873,
-0.1372494399547577,
-0.5421119332313538,
0.6627364158630371,
-0.7662935256958008,
-0.08606569468975067,
... |
Definition: Given two entities as input, classify as "yes" if second entity is the part of the first entity. Otherwise classify them as "no". These are entities of meronym In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e.,... | yes | 2 | NIv2 | task472_haspart_classification | zs_opt | [
-0.5469743013381958,
0.5711756944656372,
0.31777387857437134,
0.07332958281040192,
-0.21970435976982117,
-0.6296252012252808,
-0.1508585512638092,
0.6644977331161499,
0.7468453645706177,
-0.5860176086425781,
-0.40532776713371277,
0.04593793302774429,
-0.38414719700813293,
-0.27250593900680... |
You are given a list of queries separated by new line. Your job is to answer with the query that is the most well-formed or well-structured query in terms of grammar, punctuations, or spelling errors.
One example is below.
Q: What is the product of transcripition durring gene expression ?
The four main parts of the bra... | How can you change a report into a research paper ? | 9 | NIv2 | task675_google_wellformed_query_sentence_generation | fs_opt | [
-0.21356183290481567,
0.2263413965702057,
-0.04100877791643143,
-0.6080325245857239,
-0.17078320682048798,
-0.09090175479650497,
-0.13537336885929108,
-0.13890381157398224,
0.5580024123191833,
-0.6436017751693726,
-0.835137128829956,
0.11775278300046921,
-0.47919726371765137,
0.19911424815... |
You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
Let me give you an example: what kind of film is Best Seller?
The answer to this example can be: crime
Here is why: The answer is correct b... | famous | 8 | NIv2 | task615_moviesqa_answer_generation | fs_opt | [
-0.9204245805740356,
0.17143774032592773,
-0.7149996757507324,
0.4932851195335388,
-0.17819517850875854,
0.16967973113059998,
0.08335534483194351,
-0.07776635885238647,
-0.18461549282073975,
-0.2898057699203491,
-0.6749945878982544,
0.3970465660095215,
-0.7980270981788635,
-0.5245295763015... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.
See one example below:
Problem: それは個人の内面で起こる闘い悪 ､ 罪 ､ 誘惑 ､ 欲望 ､ 貪欲に対する苦闘ですそれは個人の内面で起こる闘い悪 ､ 罪 ､ 誘惑 ､ 欲望 ､ 貪欲に対する苦闘です
Solution: Es una lucha interna, una lucha en contra del vicio, el pecado, la tent... | ¿Qué pasó después de esto? | 4 | NIv2 | task1223_ted_translation_ja_es | fs_opt | [
-0.9592199921607971,
0.5264405608177185,
-0.5109503269195557,
-0.428402304649353,
-0.5756062269210815,
0.3127867579460144,
0.33883553743362427,
0.6617252826690674,
-0.07728976011276245,
-0.2647107243537903,
-0.0028028853703290224,
-0.16245287656784058,
-1.0270599126815796,
-0.2422472238540... |
Teacher:In this task you will break down a question into the basic steps required to answer it.
A question decomposition is a numbered list of operations that must be performed to answer the original question. Imagine explaining your question to a friendly droid by listing each action it should take in order for the q... | #1 return customers
#2 return loans of #1
#3 return amounts of #2
#4 return sum of #3 for each #1
#5 return #1 where #4 is highest
#6 return name of #5 | 6 | NIv2 | task176_break_decompose_questions | zs_opt | [
0.8772159218788147,
-0.2096063494682312,
-0.6516786813735962,
0.4734901785850525,
0.038120776414871216,
-0.2896290123462677,
1.3064994812011719,
0.21839573979377747,
-0.2687782645225525,
0.4799104928970337,
-0.20584294199943542,
0.2366495430469513,
-0.11668098717927933,
0.17580680549144745... |
In this task, you are given a set of context paragraphs, some supporting facts and an answer of a question. Your task is to generate question for given answer based on set of context paragraphs, supporting facts and an answer.
Example Input: Context_1 : In distributed computing, safety properties informally require th... | What year was the author of Never Surrender born?
| 3 | NIv2 | task191_hotpotqa_question_generation | fs_opt | [
0.9230552911758423,
0.6342449188232422,
-0.9143456220626831,
0.36673426628112793,
0.5164325833320618,
-0.6107114553451538,
0.30485519766807556,
0.5899859070777893,
-0.4504585564136505,
0.5228756666183472,
-0.5599173903465271,
0.7169640064239502,
-0.3502112030982971,
-0.3152729272842407,
... |
Detailed Instructions: In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update pro... | strengthener | 4 | NIv2 | task935_defeasible_nli_atomic_classification | fs_opt | [
0.7575668692588806,
0.15746787190437317,
-0.4312133491039276,
-0.2642364799976349,
-0.14627155661582947,
-1.0916638374328613,
1.0299205780029297,
1.2498716115951538,
0.27311965823173523,
-0.3706452250480652,
-0.901760995388031,
-0.41913068294525146,
-0.857902467250824,
-0.18493488430976868... |
Part 1. Definition
In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Romanian language.
Part 2. Example
A man is spreading shreded cheese on a pizza.
Answer: Un bărbat pune brânză mărunțită pe o pizza.
Explanation: In the given translation process, th... | De asemenea, el și-a reafirmat dorința de a rezolva criza nucleară nord-coreeană în mod pașnic. | 7 | NIv2 | task1436_ro_sts_parallel_language_translation_en_to_ro | fs_opt | [
-0.19379615783691406,
0.559640645980835,
0.5327192544937134,
-0.5863693952560425,
0.200127512216568,
-0.147804856300354,
1.2545866966247559,
0.610858678817749,
0.7839958667755127,
-0.00789609830826521,
-0.2048550248146057,
0.6465040445327759,
-0.5462974309921265,
0.11915169656276703,
0.6... |
Teacher:In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each citing text. The ... | holding that faa 16a3 did not preempt a state statute prohibiting appeal of an order to compel arbitration and reasoning that there is no reason to suppose that the timing of the exercise of the right of appeal from an order compelling arbitration is other than a procedural matter which does not alter the substantive ... | 6 | NIv2 | task287_casehold_legal_incorrect_answer_generation | zs_opt | [
0.4138872027397156,
0.32337164878845215,
0.0326685830950737,
0.37957367300987244,
0.13816428184509277,
-0.9225811958312988,
-0.11824655532836914,
0.9586372971534729,
-0.5305754542350769,
-0.2254144847393036,
-0.592537522315979,
0.21408921480178833,
-0.4855845272541046,
0.10458742082118988,... |
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.
One example: អ៊ីតាលីបានឈ្នះលើព័រទុយហ្គាល់ 31-5 ក្នុងប៉ូលCនៃពីធីប្រកួតពានរង្វាន់ពិភពលោកនៃកីឡាបាល់ឱបឆ្នាំ2007ដែលប្រព្រឹត្តនៅប៉ាសឌេសប្រីន ក្រុងប... | 兵士は銃弾を発射し、それは17歳の運転手を貫通し、少年を殺害した。 | 6 | NIv2 | task1122_alt_khm_ja_translation | fs_opt | [
0.37653616070747375,
0.8275760412216187,
-0.7833067774772644,
0.152322918176651,
-0.19398996233940125,
-0.7048120498657227,
0.573618471622467,
0.5286661386489868,
0.1752103567123413,
-0.2753821313381195,
-0.6474688053131104,
0.8550456166267395,
-0.663580060005188,
0.6294355392456055,
-0.... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Japanese.
لذا إذا كنت مهندس برمجيات و تحاول أن تفكر حول هل تضيف بعض الوظائف الجديدة لبرنامجك فإنه من المهم ان تفكر في مدى التكاليف
Output: | もしあなたがソフトウェア技術者で新しい機能をプログラムに追加すべきか考えるときに費用を考えなければいけません | 1 | NIv2 | task1231_ted_translation_ar_ja | zs_opt | [
-0.7026528120040894,
-0.01327352225780487,
-0.43303826451301575,
-0.30265456438064575,
-0.49110665917396545,
0.6214410662651062,
1.2103158235549927,
0.4350661039352417,
0.4005805552005768,
-0.29024380445480347,
-0.4560607075691223,
-0.32750195264816284,
-0.2757291793823242,
0.6081874370574... |
Detailed Instructions: You will be given a sentence. Check whether the sentence is grammatically correct and is meaningful. If the sentence is grammatically correct, then answer with '1', otherwise answer with '0'.
Q: The recession cost my grandfather a raise.
A: | 1 | 9 | NIv2 | task1346_glue_cola_grammatical_correctness_classification | zs_opt | [
-0.6265355348587036,
1.0428409576416016,
-0.4379115104675293,
-0.45878374576568604,
0.17385536432266235,
-0.5729506611824036,
0.9629372358322144,
0.9601668119430542,
0.45047035813331604,
-0.7777411937713623,
-0.9494069814682007,
-0.70643150806427,
-1.1039035320281982,
-0.4683551788330078,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a statement and three sentences as choices. Your job is to determine the neutral choice based on your inference from the statement and your commonsense knowledge. The neutral choice is a sentence that neither agrees ... | 2 | 1 | NIv2 | task201_mnli_neutral_classification | zs_opt | [
0.15750616788864136,
-0.4507126808166504,
-0.057693056762218475,
-0.03976121172308922,
0.09503728151321411,
-0.08373303711414337,
0.08691395074129105,
0.4891342520713806,
0.16913053393363953,
0.15945760905742645,
0.37371987104415894,
-0.31105703115463257,
-0.4394349455833435,
-0.4472992420... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a context and four options. Each option is a suggested ending for the context. You should read the context and pick the best ending for the context. Please answer with "A", "B", "C", and "D".
Example: [header] How ... | A | 1 | NIv2 | task1389_hellaswag_completion | fs_opt | [
0.6994373798370361,
0.49861055612564087,
-0.49625903367996216,
-0.27125781774520874,
0.06526455283164978,
-0.2514110803604126,
1.013723373413086,
1.0826388597488403,
-0.270344078540802,
0.2715051770210266,
-0.005456594284623861,
-0.00818957481533289,
0.11202582716941833,
0.0086438823491334... |
Instructions: In this task, you are given a sentence in the Gujarati language and your task is to convert Gujarati sentence into the English language.
Input: એક શેરીનો ધ્રુવ જેના પર ટ્રાફિક લાઇટ અને શેરી ચિહ્નો હોય છે, તે પૃષ્ઠભૂમિમાં એક મોટી બિલ્ડિંગ છે જેની પાસે અમેરિકન ધ્વજ હોય છે.
Output: | A street pole that has traffic lights and street signs on it, with a large building in the background that has an American flag flying from it. | 3 | NIv2 | task439_eng_guj_parallel_corpus_gu_en_translation | zs_opt | [
-0.6333402991294861,
0.6800667643547058,
0.6089165806770325,
-0.5833850502967834,
-0.1041758805513382,
-0.4031488299369812,
-0.009557538665831089,
-0.27998051047325134,
0.3868692219257355,
-0.48725003004074097,
0.21616815030574799,
-0.15438339114189148,
-0.3651791214942932,
-0.176470592617... |
Part 1. Definition
You are given a password and you need to generate the number of steps required to convert the given password to a strong password. A password is considered strong if (a) it has at least 6 characters and at most 20 characters; (b) it contains at least one lowercase letter and one uppercase letter, and... | 16 | 7 | NIv2 | task956_leetcode_420_strong_password_check | fs_opt | [
0.8584650754928589,
1.0684356689453125,
0.02847084403038025,
-0.6891060471534729,
0.19942061603069305,
-0.22583460807800293,
1.415490984916687,
-0.3062731623649597,
0.4669981002807617,
-0.8958256840705872,
-0.1393604874610901,
-0.16801077127456665,
-0.8903082609176636,
-0.38820287585258484... |
Teacher: This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, object] are similar to each other. The input is ... | DISSIMILAR | 2 | NIv2 | task1408_dart_similarity_classification | fs_opt | [
-0.3639097809791565,
0.4568209946155548,
0.3430047333240509,
-0.20956595242023468,
-0.06621520966291428,
-0.698815107345581,
0.9508851766586304,
0.12786874175071716,
0.05700967460870743,
0.2261625975370407,
-0.5707559585571289,
0.4887636601924896,
-0.6737260818481445,
0.12011641263961792,
... |
In this task, you are given a sentence in Polish language and its corresponding English translation. Here, your job is to output label "yes" if the translation is correct, otherwise output "no".
Ex Input:
Polish: dlatego może trzeba było o tych robotników zawalczyć,
English: What kind of fan type were they Avid,
... | yes
| 1 | NIv2 | task832_poleval2019_mt_classification | fs_opt | [
-0.8677350282669067,
-0.020977331325411797,
0.2514624297618866,
0.3809391260147095,
-0.05656185373663902,
-0.6908636093139648,
0.5384122133255005,
-0.654306948184967,
0.479525625705719,
-0.25414153933525085,
0.06803487241268158,
0.35287028551101685,
-0.6182111501693726,
-0.0375238768756389... |
Teacher: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Farsi.
Teacher: Now, understand the problem? If you are still confused, see the following example:
وقد كتبن اللغة وغالبا ما كانت لغة آلة وأحيانا شفرة ثنائية ترسل بعدها بالبريد لمركز البيانات لتنقل على شريط أو بطاقة ورقية مثقب... | چیزی باورنکردنی درباره این ، اینه که چگونه این به یه دستگاه پیشرفته تبدیل شده. | 2 | NIv2 | task1108_ted_translation_ar_fa | fs_opt | [
-0.5892999172210693,
0.2862819731235504,
-0.4528181254863739,
-0.6773855090141296,
-0.2976943850517273,
-0.254952073097229,
1.1177606582641602,
0.3066770136356354,
-0.048691220581531525,
-0.2961477041244507,
-0.6683976650238037,
0.1813007891178131,
-0.5117623805999756,
0.35457438230514526,... |
Given a sentence in the Japanese and Filipino language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Example: Japanese: 詳細は昨日UTC17時30分、英国議会でイギリスのルス・ケリー運輸大臣によって伝えられた。
Filipino: Ang mga detalye ay ibinigay... | Solution: No | 5 | NIv2 | task1120_alt_ja_fil_answer_generation | fs_opt | [
-0.16116008162498474,
-1.1534597873687744,
-0.23704026639461517,
0.3599088788032532,
0.47825494408607483,
-0.6679387092590332,
0.34313738346099854,
0.3363035023212433,
-0.5399024486541748,
-0.16314655542373657,
-0.08583922684192657,
1.311034917831421,
-0.02712416648864746,
1.12998151779174... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into English.
Non, no, io non ce l'ho.
No, no, I haven't got it.
Erano un guerriero Masaai e sua moglie, ma avevano deciso di sposarsi, avevano chiaramente una relazione di rispetto e amore.
This was a Maasai warrior and his wife, but ... | And I don't think it should, because a lot of the movie, I don't know if you've seen it, but a lot of the movie takes place in this embassy where men and women are hiding out during the hostage crisis.
| 0 | NIv2 | task1247_ted_translation_it_en | fs_opt | [
0.247666597366333,
0.7803245782852173,
-0.8858885765075684,
0.07543274760246277,
0.20078884065151215,
-0.4339553117752075,
-0.032675132155418396,
1.039067268371582,
-0.2718202471733093,
-0.13118404150009155,
0.021408192813396454,
-0.2258644551038742,
-0.8606746196746826,
-0.455519020557403... |
Given a simple high-school level math question, you are required to solve it and provide the final answer. The final answer is always a single number. These questions can range from a variety of topics like simple arithmetic, solving equations, converting a quantity from one unit to another, finding remainders/GCD/LCM,... | 18 | 0 | NIv2 | task835_mathdataset_answer_generation | zs_opt | [
-0.4107954502105713,
0.289888471364975,
-0.15586289763450623,
-0.36084794998168945,
0.16392746567726135,
-0.3616894781589508,
1.0728449821472168,
0.44397231936454773,
0.1087707132101059,
-0.600801944732666,
-0.9060523509979248,
0.48028576374053955,
-0.3697677552700043,
0.3230913281440735,
... |
Detailed Instructions: In this task, you are given a sentence in English, and your task is to translate it into Persian.
Problem:Sanam Jung, a notable VJ, specifically cited the NA-254 constituency, Karachi and the Muhajir Qaumi Movement (MQM) political party there:
Solution: | صنم جنگ، (Sanam Jung)، ویدئوجوکری (VJ) شناخته شده، به طور خاص حوزه NA-۲۵۴ کراچی، و حزب سیاسی جنبش متحد قومی (MQM) را مد نظر قرار داده: | 8 | NIv2 | task663_global_voices_en_fa_translation | zs_opt | [
-1.1145013570785522,
1.008269190788269,
0.1793881356716156,
0.2676459550857544,
-0.9894722700119019,
0.7978717684745789,
0.5254026055335999,
-0.19126471877098083,
-0.9884357452392578,
0.800676703453064,
0.14825370907783508,
0.05924246460199356,
-0.313303679227829,
-0.6394795179367065,
1.... |
instruction:
In this task, you need to reverse all words of a given length in the sentence. The number of letters in a word determine its length. For example, the length of the word "apple" is 5.
question:
Sentence: 'a guy on a surf board by a very big wave'. Reverse all words of length '3' in the given sentence.
answ... | a man is gnittis at his desk and eating lunch
| 9 | NIv2 | task378_reverse_words_of_given_length | fs_opt | [
-0.3901265859603882,
0.7721837759017944,
-0.11032144725322723,
-1.0420292615890503,
-0.057814858853816986,
-0.22235888242721558,
0.29069435596466064,
0.21898150444030762,
0.37294554710388184,
-0.2486557960510254,
-0.7520648241043091,
0.169053316116333,
-0.12106086313724518,
-0.139750361442... |
This task is about translating a given Spanish language sentence to English.
[EX Q]: Señor... Si. Perdoneme... pero ¿podría mantener en secreto que vine a la estación de Policia?
[EX A]: Um, sir, would you mind keeping this chat between us?
[EX Q]: Qué es ésto? Es para mí?
[EX A]: What about brother Mahir then?
[EX ... | Come on I'm leaving, good job to have.
| 6 | NIv2 | task1692_qed_amara_translation | fs_opt | [
-0.20994360744953156,
0.4303065836429596,
0.2680973410606384,
-0.44723576307296753,
-0.1206076592206955,
-0.9601700305938721,
0.3121519386768341,
0.3209421634674072,
0.9489625692367554,
-0.7716705203056335,
-0.3417712450027466,
0.04676300659775734,
-0.38972604274749756,
0.2084517776966095,... |
Definition: In this task, you are given a sentence which contains a motion and your task is to identify the physical entities involved in the motion. The input sentence can have more than one entity and also there is at least one entity that takes part in physical motion. There are two types of entities which are anima... | They | 2 | NIv2 | task1518_limit_answer_generation | zs_opt | [
-0.2663480043411255,
0.3153712749481201,
-0.0979863703250885,
0.5967642664909363,
-0.4977528154850006,
-0.22733387351036072,
0.10894347727298737,
0.1616567075252533,
0.29099369049072266,
0.16312555968761444,
-0.6344934701919556,
-0.48054608702659607,
-0.0783030241727829,
0.0824017673730850... |
Instructions: You will be given a sentence. Check whether the sentence is grammatically correct and is meaningful. If the sentence is grammatically correct, then answer with '1', otherwise answer with '0'.
Input: The room was left angry.
Output: | 0 | 3 | NIv2 | task1346_glue_cola_grammatical_correctness_classification | zs_opt | [
0.27819252014160156,
0.874960720539093,
-0.0898103266954422,
-0.7176790237426758,
0.43235987424850464,
-1.4893736839294434,
0.038177527487277985,
0.40366679430007935,
0.008994210511446,
-0.03573635220527649,
-0.4720425009727478,
-0.4297362267971039,
-0.421190083026886,
-1.099802017211914,
... |
Your task is to generate the next utterance in a given dialogue. You will be given a few sentences describing the personality of the person who is making the dialogue, and a history of the dialogue after that. Each line in the history is said by one of the two participants in the conversation.
Personality: I always pu... | My mother drank a ton of coffee when she was a nurse too.
| 0 | NIv2 | task1729_personachat_generate_next | fs_opt | [
-0.22380337119102478,
-0.1833559274673462,
-0.5507552027702332,
0.24058198928833008,
-0.24898168444633484,
-0.07348589599132538,
0.650432288646698,
0.2558645009994507,
-0.048287585377693176,
0.09779525548219681,
0.10322991013526917,
0.3420826494693756,
-0.6172919273376465,
-0.0510333850979... |
Teacher: You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Media łączyły się z nami.
Solution: Os "" media "" interligavam-se connosco.
Reason: The Polish sentence is correctly tran... | Oh, uma carta de condução perfeitamente válida. | 2 | NIv2 | task1264_ted_translation_pl_pt | fs_opt | [
-0.2330630123615265,
0.6304582953453064,
0.5503723621368408,
-0.5211021304130554,
-0.19919618964195251,
0.07503746449947357,
0.8178713917732239,
-0.069649338722229,
0.050432540476322174,
-0.45183515548706055,
-0.4054532051086426,
0.34230291843414307,
-0.6419264078140259,
-0.124647095799446... |
In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
Ex Input:
xRRfwYGJUAmJzatdHxYBtPCydHnrIEafxMjBmGJU, VlfNCAPtdHxYBtPCydHnrORFCdHiPWFDNW
Ex Output:
a, b, c, d, e, f, g, h, i, j,... | c, d, e, f, g, j, n, q, r, t, v, w, x, y
| 1 | NIv2 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | fs_opt | [
-0.11743379384279251,
0.4881702661514282,
0.06864070147275925,
-0.3481060862541199,
0.2814432978630066,
0.5364757776260376,
0.9448594450950623,
-0.053963493555784225,
-0.06734239310026169,
0.01303531602025032,
-1.0939544439315796,
-0.22419454157352448,
0.329007089138031,
-0.594656109809875... |
Detailed Instructions: In this task, you're given an input that contains two words, and your task is to predict the correct preposition that connects these two words. Predict the preposition that explicitly conveys both words' meaning, e.g., Word1: king
Word2: fort: "king of fort". Possible prepositions are: "of", "o... | for | 4 | NIv2 | task585_preposition_classification | fs_opt | [
-0.15917889773845673,
1.2667343616485596,
-0.021513305604457855,
-0.8175047636032104,
-0.5213685035705566,
-0.6686687469482422,
0.3500136435031891,
0.666558027267456,
0.14073699712753296,
-0.7583354711532593,
-0.9523428678512573,
0.002724151127040386,
-0.8629260063171387,
0.096085399389266... |
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