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 |
|---|---|---|---|---|---|---|
In this task, you are given a Reddit post as a text. Your task is to generate a title for this text. The title should start with "TIFU by", followed by a situation that caused humor. The title should contain 7-12 words, ideally.
Q: Text: me and my girlfriend were getting ready to put on a movie last night and she deci... | TIFU By going to the movies
****
| 4 | NIv2 | task510_reddit_tifu_title_summarization | fs_opt | [
0.15452271699905396,
0.5150980949401855,
-0.2954822778701782,
-0.0648680180311203,
0.8363651037216187,
-0.3653191328048706,
0.573539137840271,
0.5822475552558899,
0.30486801266670227,
0.4863133430480957,
-0.07795217633247375,
-0.2045586109161377,
-0.7050579190254211,
0.036031004041433334,
... |
TASK DEFINITION: In medical studies, treatments are tested within a group of study participants. You will be given a sentence of a study report in which your task is to list the phrases that give information about the participants of the study. You should list the phrases in the same order that they appear in the text,... | post-operative vomiting in children
| 8 | NIv2 | task179_participant_extraction | fs_opt | [
0.41668224334716797,
0.16956773400306702,
-0.6458848714828491,
-1.1028687953948975,
0.45692944526672363,
-0.11213099956512451,
0.7422543168067932,
0.5614837408065796,
0.24169479310512543,
0.6022909879684448,
-0.5414035320281982,
0.044127076864242554,
-0.3095371425151825,
0.2736979722976684... |
In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
Example Input: [[27, -46, 27, 7, -41], [-48, -17,... | [11718, -429780, 0, 39480, -80, 81144, 30135, -1800, -396, -1009800]
| 3 | NIv2 | task371_synthetic_product_of_list | fs_opt | [
-0.09243613481521606,
0.1935161054134369,
-0.838818371295929,
-0.4153284728527069,
-0.2650330662727356,
-0.3690792918205261,
0.8772477507591248,
0.47544360160827637,
-0.516757607460022,
-0.4316217601299286,
-1.3478143215179443,
0.14752845466136932,
-0.6686714291572571,
-0.46550843119621277... |
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
Q: בינת על היא באמת תהליך מיטוב מאוד חזק.
A: | A superintelligence is a really strong optimization process. | 9 | NIv2 | task1234_ted_translation_he_en | zs_opt | [
-0.41571730375289917,
0.6295787692070007,
0.22214537858963013,
0.32368969917297363,
0.07552020251750946,
-0.6124093532562256,
0.11854978650808334,
0.4525204598903656,
0.6044678688049316,
-0.9415111541748047,
-0.12195917963981628,
0.15172815322875977,
-0.43296512961387634,
0.415327399969100... |
instruction:
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
question:
Tenham em mente, como um químico, quero perguntar a mim mesmo a questão frustrada pela biologia: Qual é a unidade mínima de matéria que pode seguir uma evolução Darwiniana?
answer:
Tenendo quest... | Eppure mi meravigliava che fosse ancora viva.
| 9 | NIv2 | task1280_ted_translation_pt_it | fs_opt | [
-0.37952786684036255,
0.001544443191960454,
0.32531189918518066,
-0.3343113958835602,
-0.9879317879676819,
-0.8098651170730591,
-0.30806392431259155,
1.0333662033081055,
-0.255096435546875,
-0.07186970114707947,
0.10892105102539062,
0.6902539730072021,
-0.6166433691978455,
-0.1610071659088... |
In this task you are given a list of integers and you need to find the absolute value of the difference between each two consecutive values. The output should be a list of the absolute value of the differences of each two consecutive values.
One example is below.
Q: [7, 1, 5, 8, -4]
A: [6, 4, 3, 12]
Rationale: The outp... | [42, 44, 98, 41, 18, 6, 15, 123, 2] | 9 | NIv2 | task125_conala_pair_differences | fs_opt | [
-0.6960432529449463,
0.6122504472732544,
-0.5267531871795654,
-0.20994248986244202,
-0.4673614203929901,
-0.27651599049568176,
0.8728530406951904,
0.3186844289302826,
0.46730828285217285,
-0.38510221242904663,
-0.07711748778820038,
-0.3322492241859436,
-0.053049445152282715,
0.077112473547... |
In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'.
Q: Dialogue 1: 'should i tell him or not you should do it now but it will create differences betwee... | yes | 4 | NIv2 | task518_emo_different_dialogue_emotions | zs_opt | [
-0.8033995628356934,
0.6005706787109375,
0.5993248224258423,
-0.6918929815292358,
-0.2002294361591339,
0.28152796626091003,
0.96226966381073,
-0.138726145029068,
0.24511122703552246,
-0.31395459175109863,
-0.006792272441089153,
-0.6171344518661499,
-0.6513062715530396,
0.1885949820280075,
... |
In this task, you need to count the number of words in a sentence that contain the given letter
Input: Consider Input: Sentence: 'two giraffes with their heads in the tree'. How many words contain the letter 'o' in the sentence.
Output: 1
Input: Consider Input: Sentence: 'a ram standing still in an empty pasture'. ... | Output: 0
| 2 | NIv2 | task161_count_words_containing_letter | fs_opt | [
-0.5969657897949219,
0.7466452121734619,
-0.21416831016540527,
-0.4595823884010315,
-0.02681458368897438,
-0.3718567192554474,
0.7640621662139893,
0.41941869258880615,
0.5894583463668823,
-0.5314279198646545,
-0.7682129144668579,
-0.9915938973426819,
-0.315946102142334,
-0.2633742690086365... |
You are given a concatenated string consisting of two parts that are separated by a newline character. The first part is the user's initial question during a human computer conversation, the second part is a clarifying question asked by the computer in response to the question asked by the user. You should read the inp... | yes
| 5 | NIv2 | task1714_convai3_sentence_generation | fs_opt | [
0.057135168462991714,
0.22228097915649414,
-0.7777364253997803,
0.5231139659881592,
0.08747703582048416,
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0.5979298949241638,
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0.5164279937744141,
-0.07795289903879166,
-0.10840919613838196,
-0.26875829696655273,
-0.22553372383117... |
A text is given in English. Translate it from the English language to the Marathi language. The translation must not omit or add information to the original sentence.
Ex Input:
This psychology begins from there only.
Ex Output:
म्हणजे तिथूनच सुरुवात होते.
Ex Input:
Look, if you hand out doles, people will sing paea... | मला नाही वाटत माझा सहकारी असा असू शकतो, असू दे, जाऊ दे, आयुष्य जगून झाले आहे, असे नाही होऊ शकत, तो माझा सहकारी असूच शकत नाही.
| 1 | NIv2 | task1085_pib_translation_english_marathi | fs_opt | [
-0.5710362792015076,
0.2578834295272827,
0.03230247646570206,
0.0249696746468544,
-0.6735557317733765,
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0.8319799900054932,
1.0331571102142334,
0.4368070363998413,
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-0.686373233795166,
-0.14834868907928467,
-0.5392128825187683,
0.24702969193458557,
... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
Pero hay una cosa que no me deja dormir — una de las cosas que me mantiene despierto. Nunca hemos necesitado el progreso de la ciencia más que ah... | Ma ecco la cosa che mi tiene sveglio la notte - una delle cose che mi tengono sveglio la notte. Non abbiamo mai avuto così bisogno di progressi scientifici come ne abbiamo bisogno adesso, mai, | 1 | NIv2 | task1101_ted_translation_es_it | zs_opt | [
-0.13569879531860352,
0.9173609614372253,
-0.2589375972747803,
-0.44813692569732666,
-0.5582990646362305,
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-0.0636846274137497,
1.1626198291778564,
-0.3664915859699249,
-0.4124470353126526,
-0.07325201481580734,
-0.044162169098854065,
-0.8647105693817139,
-0.1675676405... |
Teacher:In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False".
Teacher: Now, understand the problem? Solve this ins... | True | 6 | NIv2 | task1309_amazonreview_summary_classification | zs_opt | [
-0.8526551723480225,
-0.05345650017261505,
0.6012604236602783,
-0.6693033576011658,
-0.04860930144786835,
-0.697823166847229,
0.46250563859939575,
1.1381795406341553,
-0.44296994805336,
0.35819411277770996,
-0.19058941304683685,
-0.0048588477075099945,
-0.8277764320373535,
-0.1844895631074... |
The task is to write a full sentence or two using all of the information given. The sentence(s) will be a brief review of a restaurant. Use all of the information provided.
One example is below.
Q: name[xname], cuisine[Fast Food], rating[average], familyFriendly[yes], near[xnear]
A: Located near xnear, xname serves Fas... | Because xname provides good food and satisfying staff, it is in the Upper East Side and it is an Italian place, I suspect it is alright. | 9 | NIv2 | task1598_nyc_long_text_generation | fs_opt | [
-0.36869996786117554,
0.7651834487915039,
-0.7846397161483765,
-0.25004929304122925,
-0.3448334336280823,
-0.15812113881111145,
0.7762287855148315,
0.8073856234550476,
0.17488467693328857,
-0.3521673083305359,
0.5367377400398254,
0.05754528194665909,
-0.37782955169677734,
-0.08463007956743... |
instruction:
In this task, you are given books product reviews in French 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.
question:
ennuyeux . je constate avec soulagement que je ne suis pas la seule ... | NEG
| 9 | NIv2 | task482_cls_french_books_classification | fs_opt | [
0.05366844683885574,
0.059361912310123444,
0.12080560624599457,
-0.3144320845603943,
0.4315105974674225,
-0.3006064295768738,
0.9940499663352966,
0.5641493797302246,
0.4128904938697815,
0.4252626895904541,
-0.5390729904174805,
-0.7562201023101807,
-0.8379454612731934,
-0.08154351264238358,... |
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 sentence in Persian. Your job is to translate the Farsi sentence into Polish.
ایلان: درسته. این مهمه که بخش های راکت بتونند برگردند و بتونند به سایت پرتاب برگردند و اماده پرتاب باشند... | Zdjęła mi ubranie i obezwładniła na podłodze. | 0 | NIv2 | task1272_ted_translation_fa_pl | fs_opt | [
-0.2048245668411255,
0.9945019483566284,
0.07583548128604889,
-0.04365157335996628,
-0.8707625269889832,
0.39321380853652954,
1.405320405960083,
0.13285093009471893,
0.03449641540646553,
-0.4927065670490265,
-1.2527141571044922,
0.916724443435669,
-1.1050845384597778,
0.6670362949371338,
... |
You are given a question-answer pair. Answer with their type. Pay attention that there may be more than one correct type, but you only have to choose one. In your responses, use of the following types:
(1) Humans: Any individual or group of humans, including fictional ones (e.g., a group or organization of persons , a... | Entity. | 0 | NIv2 | task046_miscellaneous_question_typing | zs_opt | [
0.7059327363967896,
-0.24919913709163666,
-0.32614076137542725,
0.329143762588501,
-0.311062753200531,
-1.0480537414550781,
0.8706204295158386,
0.8520193099975586,
-0.5012181997299194,
-0.31549423933029175,
-0.43948161602020264,
0.4075976014137268,
-0.3309463560581207,
-0.05016267299652099... |
The input is a conversation between an automated system and a user, followed by a question. The user is looking for suggestions for pubs, restaurants and coffee shops in Cambridge. In the dialogue, the user may provide some criteria for the type of place they want such as price range, cuisine, etc. Similarly, the user ... | No | 3 | NIv2 | task1501_dstc3_answer_generation | fs_opt | [
0.7284128665924072,
0.44157275557518005,
-0.29476839303970337,
0.11239121854305267,
0.27317821979522705,
-0.6307368278503418,
0.3878991901874542,
0.7464923858642578,
-0.17237094044685364,
0.424129843711853,
0.3679376244544983,
-0.0552741102874279,
-0.3313239514827728,
0.12820902466773987,
... |
Given a scientific question, generate a correct answer to it.
One example: Who proposed the theory of evolution by natural selection?
Solution is here: darwin
Explanation: This is a direct fact that Charles Darwin proposed the theory of evolution.
Now, solve this: The zygote undergoes many cell divisions before it imp... | uterus | 6 | NIv2 | task591_sciq_answer_generation | fs_opt | [
-0.1338440328836441,
0.3663915991783142,
-0.19265660643577576,
0.3426491916179657,
-0.37541452050209045,
-0.5995166897773743,
-0.5773205757141113,
-0.1803625524044037,
0.3282318115234375,
0.13206781446933746,
-0.12006840854883194,
-0.12442991137504578,
-1.3493248224258423,
-0.2343676239252... |
Given a comment text in Tamil, classify the comment into one of these categories (i) Hope speech, if it contains encouraging, positive or supportive contents about equality, diversity or inclusion, (ii) Not Hope Speech or (iii) Not in Expected Language, if the text is not Tamil.
One example: Spr Ithan sariyana valli
So... | Hope Speech | 6 | NIv2 | task680_hope_edi_tamil_text_classification | fs_opt | [
-0.29275640845298767,
-0.11096705496311188,
0.7992898225784302,
0.2876812517642975,
-0.17982718348503113,
-1.0212879180908203,
0.24975883960723877,
0.9689033031463623,
-0.5354931950569153,
0.3886454105377197,
-0.30570337176322937,
0.31116023659706116,
-0.39665329456329346,
-0.4216751456260... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Input: Consider Input: Mówię: "" Słuchajcie, w wojsku, kiedy chcemy, żebyście uważali, mamy komendę 'spocznij'. Wtedy wszyscy się uciszają i słuchają.
Output: أقول ، "" إستمعوا الآن. في الجيش ، عندما نريدكم أن تنتبهوا ، فإنه... | Output: الكثير من العمى.
| 2 | NIv2 | task1259_ted_translation_pl_ar | fs_opt | [
-0.07383695244789124,
0.7197882533073425,
-0.8568021059036255,
-0.861986517906189,
-0.0740472823381424,
-0.5164240598678589,
1.4351816177368164,
0.13418403267860413,
0.989601731300354,
-0.006062354426831007,
-0.9572886824607849,
0.4705829620361328,
-0.9929368495941162,
-0.18643838167190552... |
Definition: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Japanese.
Input: Tem a ver com emissões de energia.
Output: | エネルギー排出に関するもので | 2 | NIv2 | task1275_ted_translation_pt_ja | zs_opt | [
-0.02824028581380844,
0.14093290269374847,
-0.004562867805361748,
-0.35464513301849365,
-0.41660648584365845,
-0.6540757417678833,
-0.5554905533790588,
0.31387871503829956,
0.3698107600212097,
-0.22003048658370972,
-0.3462206721305847,
-0.22060921788215637,
0.0062997713685035706,
0.4756048... |
In this task, you are given an input stream, and your task is to produce a grammatically correct version of the input sentence. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a grammatically correct version of the input stream. Stream words ar... | ['in', 'this', 'video', "we're", 'going', 'to', 'go', 'through', 'an', 'example', 'reaction', 'that', 'uses', 'the', 'shot', "Lee's", 'principle', 'so', 'what', "we're", 'going', 'to', 'do', 'is,', "we're", 'going', 'to', 'apply', 'the', 'shot', "Lee's", 'principle', 'to', 'look', 'at', 'various', 'changes', 'to', 'thi... | 8 | NIv2 | task1415_youtube_caption_corrections_grammar_correction | fs_opt | [
0.6226894855499268,
0.5623763799667358,
-0.1338176429271698,
-0.36006537079811096,
0.3372153639793396,
-1.15584135055542,
0.04680493101477623,
0.9898878931999207,
-0.5477044582366943,
0.0455157533288002,
-0.22543711960315704,
-0.023028584197163582,
-0.4125862121582031,
-0.09148076921701431... |
In this task, you are given a sentence from the Bible in English, and your task is to translate it into Persian.
Q: And Israel said unto Joseph, Do not thy brethren feed the flock in Shechem? come, and I will send thee unto them. And he said to him, Here am I.
A: | و شخصی به اوبرخورد، و اینک، او در صحرا آواره میبود، پس آن شخص از او پرسیده، گفت: «چه میطلبی؟» | 4 | NIv2 | task655_bible_en_fa_translation | zs_opt | [
0.10866592079401016,
0.4075523018836975,
-0.058923207223415375,
0.05058982968330383,
-0.9405930638313293,
-0.10067275911569595,
0.7116636037826538,
0.06432836502790451,
0.9580464363098145,
-0.06278213113546371,
-0.19113950431346893,
0.4116494059562683,
-0.8497458696365356,
-0.5854737758636... |
The task is to write a full sentence or two using all of the information given. The sentence(s) will be a brief review of a restaurant. Use all of the information provided.
Q: name[xname], recommend[yes], cuisine[Italian], decor[good], qual[good], location[Manhattan], price[expensive], service[good]
A: | I would suggest xname since it is an Italian place and expensive. it's in Manhattan with pleasant staff, nice decor and good food. | 4 | NIv2 | task1598_nyc_long_text_generation | zs_opt | [
-0.41424036026000977,
0.6747263669967651,
-0.7397464513778687,
0.09558176249265671,
-0.58450847864151,
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0.3894069194793701,
0.5102629065513611,
-0.20229572057724,
-0.09805042296648026,
0.43448203802108765,
-0.23986046016216278,
-0.4671069383621216,
0.21617946028709412,
... |
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 potentially offensive to anyone (i.e., a subset of people, any particular person, etc.), 2) no, otherwise. Note that potentially offensive posts can contain sexual, racia... | Yes | 0 | NIv2 | task609_sbic_potentially_offense_binary_classification | zs_opt | [
-0.977288544178009,
-0.030992213636636734,
1.0277847051620483,
0.8797830939292908,
0.15191879868507385,
-0.5115895867347717,
0.38385528326034546,
0.5220204591751099,
0.1561891734600067,
0.03317457064986229,
-0.30129045248031616,
-0.6326315402984619,
-0.24837936460971832,
-0.849650561809539... |
In this task, you're given a passage, 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 passage and link information to create the q... | How many children do both of the architects who designed obelisks have between them?
| 7 | NIv2 | task236_iirc_question_from_passage_answer_generation | fs_opt | [
0.6453232169151306,
0.5366661548614502,
-0.34761443734169006,
0.04404980689287186,
0.655074954032898,
-0.3074548840522766,
0.753445029258728,
1.150835394859314,
-0.3760637938976288,
0.3585994243621826,
-0.34488123655319214,
1.0282371044158936,
-0.042353034019470215,
0.09343576431274414,
... |
Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
Input: Potem zapytaliśmy inne grupy badanych - daliśmy im inne ograniczenia i inne warunki.
Output: | Depois perguntámos a outros grupos de sujeitos - demos-lhes restrições diferentes e condições diferentes. | 3 | NIv2 | task1264_ted_translation_pl_pt | zs_opt | [
-0.668577253818512,
0.9313620328903198,
-0.25738024711608887,
-0.4259703755378723,
-0.023737657815217972,
-0.1814911812543869,
0.46255868673324585,
-0.4666050672531128,
0.5732040405273438,
0.028654303401708603,
-1.2651679515838623,
-0.06595682352781296,
-0.2667282819747925,
0.0337421521544... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Spanish.
Q: That means we'd go from 44,000 to 180,000.
A: | Eso significa que pasaríamos de 44 000 a 180 000. | 9 | NIv2 | task1219_ted_translation_en_es | zs_opt | [
-0.70497065782547,
0.5613436698913574,
-0.3576543927192688,
-0.8343128561973572,
-0.5095863342285156,
-0.5325889587402344,
-0.9147507548332214,
0.8551358580589294,
0.6288005113601685,
-0.223882257938385,
-0.06595093756914139,
-0.14873144030570984,
-0.6170095205307007,
0.19915533065795898,
... |
Teacher:In this task, you are given a sentence in the Bulgarian language and corresponding English translation of this sentence. Here, your job is to generate label "yes" if translation is right, otherwise generate label "no".
Teacher: Now, understand the problem? Solve this instance: Bulgarian: Въпроси с искане за уст... | yes | 6 | NIv2 | task273_europarl_classification | zs_opt | [
-0.9402923583984375,
0.2669195532798767,
0.7117319107055664,
0.03582962602376938,
-0.41331952810287476,
-0.5367205739021301,
0.6243710517883301,
0.6750880479812622,
0.2700665295124054,
-0.5715470314025879,
0.10004417598247528,
0.5247382521629333,
-0.06090160831809044,
0.4041702151298523,
... |
Instructions: From the given sentence, extract the phrase (often noun or verb) that carries the given relationship. The generated phrase should be present in the sentence.
Input: Given Relationship: 'be locate in', Sentence: 'Located in stunning Vancouver Island , British Columbia , Coastal Trek Resort provides you wit... | Located | 3 | NIv2 | task678_ollie_actual_relationship_answer_generation | zs_opt | [
-0.14340175688266754,
0.2788076400756836,
-0.497383177280426,
-1.1206560134887695,
-0.5078299045562744,
-0.37152987718582153,
0.673088788986206,
0.6376076340675354,
0.22914570569992065,
-0.5175282955169678,
0.10317976772785187,
-0.027850084006786346,
-0.8729362487792969,
0.4399287104606628... |
Detailed Instructions: 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 nor disagrees with the statement. Indicate your answer... | 2 | 8 | NIv2 | task201_mnli_neutral_classification | zs_opt | [
0.5103137493133545,
-0.6971596479415894,
-0.09532394260168076,
-0.2960776388645172,
-0.22865945100784302,
-0.7473276853561401,
0.7397125959396362,
0.3355315029621124,
0.10235173255205154,
0.024026647210121155,
-0.35963955521583557,
-0.42377912998199463,
-0.29268038272857666,
-0.28008598089... |
A text is given in Marathi. Translate it from the Marathi language to the Panjabi language. The translation must not omit or add information to the original sentence.
Ex Input:
ज्या लोकांवर आझमगढ आणि या क्षेत्रातील नागरिकांनी विश्वास टाकला, त्यांनी तो विश्वास मोडून काढण्याचेच काम केले नाही का?
Ex Output:
ਕੀ ਜਿਨ੍ਹਾਂ ਲ... | ਮੁੱਖ ਕਾਰਜਕਾਰੀ ਅਧਿਕਾਰੀ, ਡਾਇਰੈਕਟਰ ਜਨਰਲ ਹੋਣਗੇ ਜਿਨ੍ਹਾਂ ਦੀ ਨਿਯੁਕਤੀ ਸਰਕਾਰ ਕਰੇਗੀ।
| 1 | NIv2 | task1029_pib_translation_marathi_punjabi | fs_opt | [
-0.16754187643527985,
0.252398818731308,
-0.3932257294654846,
0.23899906873703003,
0.038433194160461426,
-1.070188045501709,
1.1430538892745972,
-0.09298625588417053,
0.3782860040664673,
-0.46063491702079773,
-0.4405232071876526,
0.3807760179042816,
-0.41511571407318115,
0.1241277083754539... |
Given the task definition and input, reply with output. 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 ar... | holding that investigation was insufficient prior to prosecution for forgery of check | 5 | NIv2 | task287_casehold_legal_incorrect_answer_generation | zs_opt | [
0.012068914249539375,
-0.19970649480819702,
0.30131593346595764,
0.21881228685379028,
0.15223607420921326,
-0.08360390365123749,
-0.05639180913567543,
1.0909318923950195,
-0.6574262380599976,
-0.3475988507270813,
-0.8374897837638855,
0.2723429799079895,
-0.2558863162994385,
-0.085002377629... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Polish.
Q: Si, esta persoa xubilouse co 150% da súa renda de traballador na xubilación.
A: | Tak, ta osoba na emeryturze uzyska 150% swojego wcześniejszego dochodu. | 4 | NIv2 | task1244_ted_translation_gl_pl | zs_opt | [
-1.2666127681732178,
1.2391964197158813,
-0.020819976925849915,
-0.32821428775787354,
-0.7456375956535339,
-0.8345630764961243,
1.4494664669036865,
0.030458800494670868,
0.7462469339370728,
-0.31615880131721497,
0.24315790832042694,
0.2768104672431946,
-0.730629563331604,
0.978857636451721... |
Teacher:In this task, you need to count the number of vowels (letters 'a', 'e', 'i', 'o', 'u') / consonants (all letters other than vowels) in the given sentence.
Teacher: Now, understand the problem? Solve this instance: Sentence: 'a stop sign on the corner of a street of apartments'. Count the number of consonants in... | 26 | 6 | NIv2 | task157_count_vowels_and_consonants | zs_opt | [
0.33754271268844604,
0.5239303112030029,
-0.8080013394355774,
-0.5053689479827881,
-0.030449755489826202,
-0.22675135731697083,
-0.11674747616052628,
0.6360913515090942,
-0.09987346082925797,
-0.15452724695205688,
-0.2937871217727661,
0.03575420752167702,
0.10063236206769943,
-0.9041227102... |
In this task, you will be presented with a question having multiple possible answers in Spanish language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Example input: Question: Era un regalo popular y común este año, así que se dirigió al ¿qué dond... | A | 3 | NIv2 | task1131_xcsr_es_commonsense_mc_classification | fs_opt | [
0.04946892708539963,
0.784976601600647,
-0.6496347188949585,
-0.0737946555018425,
-0.01785697042942047,
-0.9005298018455505,
0.43840664625167847,
0.9064184427261353,
0.2950901389122009,
-0.4386875033378601,
0.2537572979927063,
0.8792605996131897,
-0.33672118186950684,
-0.33298560976982117,... |
Detailed Instructions: In this task you will be given a claim and a perspective. You should determine whether that perspective supports or undermines the claim. If the perspective could possibly convince someone with different view, it is supporting, otherwise it is undermining.
Problem:claim: Golf is a Sport.
perspec... | undermine | 8 | NIv2 | task738_perspectrum_classification | zs_opt | [
-0.6008134484291077,
0.39254578948020935,
0.3644368350505829,
-0.4227844774723053,
-0.389580100774765,
-0.507500410079956,
0.6446772217750549,
0.9718345403671265,
0.5220916271209717,
-0.5018292665481567,
-0.43866515159606934,
-0.08104407787322998,
-0.6433277130126953,
0.4636266231536865,
... |
Q: In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
As a mother with two children, when the children have ear problems, I always get in a hurry and get used to using bulky flashlights to observe wh... | positive | 7 | NIv2 | task1312_amazonreview_polarity_classification | zs_opt | [
-0.32492712140083313,
-0.15663346648216248,
-0.20597870647907257,
-0.14265036582946777,
0.24292618036270142,
-0.2154630571603775,
1.1095590591430664,
0.5331109762191772,
0.4287877678871155,
0.5320971608161926,
-0.11279742419719696,
0.16670852899551392,
-0.36029037833213806,
-0.149188846349... |
In this task, you are given music product reviews in English 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.
--------
Question: underated . rip manpac you must not be a rap fan or a jayz fan talkin b... | POS
| 7 | NIv2 | task478_cls_english_music_classification | fs_opt | [
0.5605430006980896,
0.2796146273612976,
-0.6215513944625854,
0.0002981998259201646,
0.5501989126205444,
-0.4254647493362427,
1.2365938425064087,
1.1117593050003052,
-0.24261626601219177,
0.8034008741378784,
-0.6405770182609558,
0.1000690907239914,
-0.12043317407369614,
-0.38180023431777954... |
Write an incorrect answer to the given question based on the associated fact. You are also provided with the correct answer to the given question. Make sure that your incorrect answer is relevant and similar to the associated fact. Also, try to make the incorrect answer similar to the correct answer so that distinguish... | humidity.
| 5 | NIv2 | task042_qasc_incorrect_option_generation | fs_opt | [
0.6686548590660095,
1.2489075660705566,
-0.37911784648895264,
0.012886307202279568,
-0.03254171833395958,
-1.2148261070251465,
0.3088686466217041,
0.4932711720466614,
-0.17414718866348267,
0.08885783702135086,
-0.5711339712142944,
0.15825104713439941,
-0.397813618183136,
0.0376129113137722... |
In this task you are given a sentence. You must judge whether the object of the main clause is singular(like: apple) or plural(like: apartments). Label the instances as "Singular" or "Plural" based on your judgment.
[EX Q]: Ben lowered his shoe toward the next foothold.
[EX A]: Singular
[EX Q]: He liked disgustingly ... | Singular
| 6 | NIv2 | task431_senteval_object_count | fs_opt | [
-0.5040143728256226,
0.45411330461502075,
0.06680213660001755,
0.05716638267040253,
-0.3004758656024933,
-0.2406577616930008,
0.8019686937332153,
0.03581521287560463,
-0.18867424130439758,
-0.4224732518196106,
-0.3758193254470825,
0.33536800742149353,
-0.5467230081558228,
-0.20536984503269... |
Q: Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Poor quality fabric, not soft like flannel should be. But was only $9 and it's for my guest bed, so I guess it's OK.
A: | Negative | 7 | NIv2 | task493_review_polarity_classification | zs_opt | [
-0.7419862747192383,
-0.29047685861587524,
0.09852423518896103,
-0.6096510887145996,
-0.012198550626635551,
-0.5157080888748169,
0.22351780533790588,
0.580430805683136,
-0.2539598345756531,
0.9100764989852905,
-0.2341720163822174,
0.20427155494689941,
-1.0230953693389893,
-0.29260486364364... |
In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.
Q: passage: The wheel and axle can be viewed as a version of the lever, with a drive force applied tangentially to the perimeter of the wheel and a load force appli... | Yes | 4 | NIv2 | task380_boolq_yes_no_question | zs_opt | [
0.43737101554870605,
0.6505917310714722,
-0.08927837014198303,
0.250889390707016,
-0.6365385055541992,
-0.3331250250339508,
1.1094093322753906,
0.6786969900131226,
0.08681324124336243,
-0.22779273986816406,
0.005156464874744415,
0.20068040490150452,
-0.14558225870132446,
0.4101470112800598... |
Given the task definition and input, reply with output. In this task you are given a tweet. You must judge whether the author of the tweet is sad or not. Label the instances as "Sad" or "Not sad" based on your judgment. You can get help from hashtags and emojis, but you should not judge only based on them, and should p... | Not sad | 5 | NIv2 | task399_semeval_2018_task1_tweet_sadness_detection | zs_opt | [
-1.2455484867095947,
0.2829069495201111,
1.101654291152954,
-0.023518957197666168,
0.09738292545080185,
-0.8804639577865601,
0.3289821147918701,
0.35493576526641846,
0.19509196281433105,
0.3435744047164917,
-1.0322142839431763,
-0.27985361218452454,
-0.3118007183074951,
-0.2238337695598602... |
From the given sentence, extract the phrase (often noun or verb) that carries the given relationship. The generated phrase should be present in the sentence.
Ex Input:
Given Relationship: 'be set to', Sentence: 'On AUTO ISO , the ISO setting was kept quite low in these photos , however noise was noticeable .'
Ex Outp... | problem
| 1 | NIv2 | task678_ollie_actual_relationship_answer_generation | fs_opt | [
-0.6182091236114502,
0.6734086275100708,
-0.16668497025966644,
-0.22657178342342377,
-0.29117071628570557,
-0.9312599897384644,
0.5696720480918884,
0.669654130935669,
0.3033531904220581,
0.0438157394528389,
-0.4194825291633606,
1.0488271713256836,
-0.47890597581863403,
-0.4538647532463074,... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Write a correct answer to the given question based on its associated fact. Make sure that your answer is contained in the associated fact. Don't be creative and introduce any new word that is not men... | a hosta. | 0 | NIv2 | task041_qasc_answer_generation | fs_opt | [
-0.047499921172857285,
0.5264278650283813,
-0.1940522938966751,
0.5781232714653015,
0.0743933767080307,
-1.2835805416107178,
0.4006410837173462,
0.334071546792984,
-0.3084050714969635,
0.03097960352897644,
-1.3851430416107178,
0.3197513818740845,
-0.34315335750579834,
0.1525096446275711,
... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
--------
Question: Así que en cierto modo, he creado una especie de red genética, una red social genética, de verdad.
Answer: Quindi, in qualche modo, ho creato una specie di network genetico, un social network genetico, v... | Abbiamo incoraggiato i corridori, autostrade trafficate, caselli, e tutto questo senza mai mettere una persona; la macchina guida da sola.
| 7 | NIv2 | task1101_ted_translation_es_it | fs_opt | [
-1.1193242073059082,
0.6050330400466919,
-0.3087009787559509,
-0.3452637791633606,
-0.7996561527252197,
-0.6543068885803223,
0.18659448623657227,
1.5028020143508911,
0.2068433165550232,
-0.8562846779823303,
-0.831824779510498,
0.7851717472076416,
-0.40321820974349976,
-0.035135865211486816... |
The input is a tweet which can be classified as Hate Speech, Offensive or Normal. Given such a tweet, output the class the tweet belongs to. Hate Speech will contain threatening language towards the community targeted. Offensive language will contain abusive or discriminatory language towards the community targeted.
I... | Output: Offensive
| 2 | NIv2 | task1502_hatexplain_classification | fs_opt | [
-0.778429388999939,
1.0774037837982178,
0.2384677231311798,
0.9441641569137573,
-0.12046704441308975,
-0.7375497221946716,
-0.1655253767967224,
0.26394838094711304,
0.5372920632362366,
0.3837761878967285,
-0.4528762698173523,
0.15792152285575867,
-0.13953876495361328,
-0.8256831765174866,
... |
Part 1. Definition
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.
Part 2. Example
System Reference: there is a chinese restaurant on x called x.
Original Reference... | 0 | 7 | NIv2 | task1283_hrngo_quality_classification | fs_opt | [
-0.13224352896213531,
0.949616014957428,
-1.0594289302825928,
-0.3399134874343872,
-0.2515692710876465,
-0.0526542067527771,
0.987816333770752,
0.245484858751297,
-0.03461337462067604,
-0.3282763361930847,
-0.4826163351535797,
0.08037979155778885,
-0.38635116815567017,
0.0261978842318058,
... |
Given a premise, an initial context, an original ending, and a new ending, the task is to generate the counterfactual context that is aligned with the new ending. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and the second sentence, which is the initial context, provide... | Anna's boyfriend's dog attacked Wilfred. | 3 | NIv2 | task270_csrg_counterfactual_context_generation | fs_opt | [
0.4755617380142212,
0.27879083156585693,
-0.37689149379730225,
0.7570230960845947,
0.14397121965885162,
-0.7948691248893738,
-0.06109382212162018,
0.9887044429779053,
-0.4314241111278534,
-0.5737466812133789,
-0.6702837944030762,
0.014453881420195103,
-0.22523526847362518,
-0.1243828311562... |
Instructions: Craft one correct answer to the question given in input. To make it more interesting, try to use non-stereotypical language if possible. Make sure your correct answer is reasonably long, consistent with the context, and requires common sense (instead of explicit extraction from the context.) In your answe... | I will adopt children . | 3 | NIv2 | task024_cosmosqa_answer_generation | zs_opt | [
-0.03793007507920265,
0.7383102178573608,
-0.3953040838241577,
0.40660715103149414,
-0.30935758352279663,
-0.6180097460746765,
0.7630417346954346,
0.33335453271865845,
0.06455347687005997,
-0.2963942885398865,
-0.7052960991859436,
0.37181779742240906,
-0.8215680122375488,
-0.02163690328598... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in English. Your job is to translate the English sentence into Galician.
Example: Now, it's next door, or in my house.
Output: Agora, está ao lado, ou na miña casa.
The English sentence is correctly translated into Gal... | Ben, non sempre. | 1 | NIv2 | task1090_ted_translation_en_gl | fs_opt | [
-0.6031198501586914,
1.0411157608032227,
-0.12736696004867554,
-0.24563917517662048,
0.014315610751509666,
-0.6549014449119568,
0.0880703330039978,
0.8819466233253479,
0.047109004110097885,
0.08753198385238647,
-0.1781269907951355,
0.33890587091445923,
-0.6437767744064331,
-0.1277678012847... |
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 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 re... | Yes | 0 | NIv2 | task1202_atomic_classification_xneed | fs_opt | [
0.6052788496017456,
-0.019693642854690552,
0.027149539440870285,
0.03815126419067383,
-0.04322952404618263,
-0.4348827004432678,
1.0029752254486084,
0.6102321147918701,
-0.7796322107315063,
-0.2605448365211487,
-0.33865872025489807,
-0.3121696710586548,
-0.5080198645591736,
-0.047486081719... |
Given a sentence, generate a most unlikely next statement. The next statement should not be logically relevant to the given context
Q: Someone bursts through the spectators. He
A: | opens the door's front door. | 4 | NIv2 | task454_swag_incorrect_answer_generation | zs_opt | [
1.1063050031661987,
1.2714745998382568,
-0.4051543176174164,
-0.08917975425720215,
0.20469065010547638,
0.18666428327560425,
-0.5950309038162231,
0.7006303071975708,
0.2258245050907135,
-0.1616576761007309,
-0.4407085180282593,
0.24532322585582733,
-0.9291082620620728,
-0.6725049018859863,... |
In this task, given a sentence in the Japanese language, your task is to convert it into the English language.
従業員が参加を強制された「フォーラム」コースは、ワーナー・エアハードアンドアソシエイツによって発展していた。 | The "Forum" course that the employees claimed they were mandated to attend was developed by Werner Erhard and Associates. | 0 | NIv2 | task542_alt_translation_ja_en | zs_opt | [
0.5135551691055298,
-0.1064460426568985,
0.16812121868133545,
-0.842024564743042,
-0.4566044807434082,
0.3560754060745239,
0.05054835230112076,
0.11857941001653671,
-0.12303120642900467,
-0.09997344017028809,
0.13437917828559875,
-0.4225925803184509,
-0.3650553524494171,
0.0599703378975391... |
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.
Example Input: Text: happened about 5 years ago.
i'll start by saying i'm not circumcised. this is some... | trash talked my college's president right beside her.
| 3 | NIv2 | task511_reddit_tifu_long_text_summarization | fs_opt | [
0.0029868935234844685,
0.4324631094932556,
-0.30644071102142334,
-0.29758739471435547,
0.8945863246917725,
-0.1818893700838089,
0.6952900886535645,
0.7951958179473877,
-0.05683409795165062,
-0.22708889842033386,
-0.15940214693546295,
-0.023223698139190674,
-0.5784564018249512,
0.0697363093... |
Given the task definition, example input & output, solve the new input case.
From the given sentence, extract the phrase (often noun or verb) that carries the given relationship. The generated phrase should be present in the sentence.
Example: Given Relationship: 'make', Sentence: 'Jenny made the announcement that her ... | starring | 1 | NIv2 | task678_ollie_actual_relationship_answer_generation | fs_opt | [
0.026832371950149536,
1.3484950065612793,
-0.26672694087028503,
0.1364932507276535,
-0.053298693150281906,
-0.04425022751092911,
0.004593471996486187,
0.9664527773857117,
-0.08180899918079376,
-0.10638806223869324,
-0.39703071117401123,
0.2741290330886841,
-0.40803050994873047,
-0.18651369... |
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., "sympathetic" ... | Sentence 1: Driving a bus is PersonX first job they also have a job were they work with PersonY, _ works two jobs every week.
Sentence 2: Driving a bus is PersonX first job they also have a job were they work with PersonY, _ works one job every week.
****
| 4 | NIv2 | task030_winogrande_full_person | fs_opt | [
0.17544600367546082,
0.2875806987285614,
0.05300261080265045,
-0.13631044328212738,
0.4009501338005066,
-0.48091500997543335,
0.7986143827438354,
0.7188258767127991,
0.03340582177042961,
-0.5495169758796692,
-0.45890119671821594,
-0.5191839933395386,
-0.5973892211914062,
0.0714814662933349... |
Given a sentence and an entity, the task is to select the authors sentiment towards the enity. Sentiments can be Positive, Neutral and Negative. Select Positive if the sentence expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the sentence expresses no clear view tow... | Neutral
| 0 | NIv2 | task421_persent_sentence_sentiment_classification | fs_opt | [
-0.11714129149913788,
0.03488464280962944,
0.022323545068502426,
0.4645937979221344,
0.11666383594274521,
-1.4229949712753296,
0.168110191822052,
0.17843174934387207,
0.36149653792381287,
0.35085389018058777,
-0.1162063330411911,
0.29409903287887573,
-0.4868719279766083,
-0.336527585983276... |
Detailed Instructions: You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
Q: My brother feels happy.
A: | male | 9 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | zs_opt | [
-0.6865726709365845,
0.581791877746582,
-0.6618936061859131,
-0.9933270812034607,
-0.15798506140708923,
-0.5223091840744019,
0.6360163688659668,
0.027048926800489426,
0.9987080693244934,
0.1369556188583374,
-1.1284781694412231,
-0.34045130014419556,
-0.4744882583618164,
0.13026683032512665... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into English.
See one example below:
Problem: 第一にキリバス共和国が彼ら自身の利益になると理解したからです
Solution: And it was primarily because Kiribati realized that this was in their own self-interest to do this.
Explanation: The Japanese... | My favorite and a real hero of mine is Yakima Canutt. | 4 | NIv2 | task1222_ted_translation_ja_en | fs_opt | [
0.34521132707595825,
0.0744161531329155,
-0.0874050110578537,
-0.8115091919898987,
-0.16601981222629547,
-1.4002962112426758,
0.4463180899620056,
-0.3506123125553131,
0.25526463985443115,
0.04309365898370743,
-0.022162705659866333,
-0.11599519848823547,
-1.3292236328125,
0.4287541806697845... |
Definition: In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct a sentence that (a) captures the facts specified in the triples and (b) is a well-formed sentence easily unde... | An ingredient in a bacon sandwich is brown sauce. | 2 | NIv2 | task1409_dart_text_generation | zs_opt | [
-0.40803050994873047,
0.23645997047424316,
-0.3667340874671936,
-0.4649842083454132,
-0.10343189537525177,
0.7680615186691284,
0.9747303128242493,
-0.28243404626846313,
0.15656621754169464,
-0.5133041143417358,
-0.8813064694404602,
0.09331732988357544,
0.14760412275791168,
-0.2041344791650... |
Detailed Instructions: In this task you are given a statement and an explanation giving you further knowledge about an entity in the statement. You must judge whether the statement is true or false based on the explanation. Label an instance as "True" if the explanation confirms the statement or doesn't disprove it. La... | False | 8 | NIv2 | task403_creak_commonsense_inference | zs_opt | [
-0.1443461775779724,
0.6109867691993713,
-0.1868850737810135,
-0.199404776096344,
-0.6574231386184692,
-1.0758757591247559,
0.664831280708313,
0.652634859085083,
0.2694125175476074,
-0.5917374491691589,
-0.2998414933681488,
0.17924576997756958,
-0.7545106410980225,
0.14891555905342102,
0... |
You will be given a definition of a task first, then some input of the task.
Classify the given a piece of financial news into three classes: positive, negative, and neutral. Output must be 'positive', 'negative', or 'neutral'.
Finnish Metso Paper has won an order to supply an uncoated fine paper machine to MCC Paper ... | positive | 1 | NIv2 | task843_financial_phrasebank_classification | zs_opt | [
-0.8054879903793335,
0.011676426976919174,
-0.2636486291885376,
-0.3236757516860962,
0.8144776821136475,
0.7364037036895752,
-0.7561846971511841,
1.1519758701324463,
-0.003998211584985256,
0.2871411442756653,
-0.3436126112937927,
0.3591136932373047,
0.3633808195590973,
-0.35580700635910034... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.
Q: El año pasado, más de un millón de personas llegaron a Europa en busca de ayuda, y nuestra respuesta, francamente, ha sido patética.
A: | در سال گذشته ، بیش از یک میلیون نفر به دنبال کمک ما به اروپا آمدند ، و پاسخ ما ، بی تعارف ، اسف بار بود. | 9 | NIv2 | task1103_ted_translation_es_fa | zs_opt | [
-0.01131187193095684,
1.1968395709991455,
0.09720562398433685,
-0.5922138690948486,
0.020382702350616455,
-1.1806871891021729,
0.3148714303970337,
0.31916290521621704,
-0.2467653751373291,
0.45681673288345337,
-0.3972066044807434,
0.23692187666893005,
-0.5912601947784424,
0.188893243670463... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi.
Ex Input:
Potete immaginare che abbia una sala gigantesca piena di dischi rigidi per l'immagazzinamento dati che stanno raccogliendo.
Ex Output:
می توانید تصور کنید که این محل سالن بزرگی دارد پر از هارد درایوهای ذخیره اطل... | و ایده های خیلی خوبی در گروه ما وجود داره.
| 1 | NIv2 | task1254_ted_translation_it_fa | fs_opt | [
0.42725008726119995,
0.30470895767211914,
-0.5341935157775879,
0.4489152431488037,
-0.8966909646987915,
-0.39279085397720337,
-0.1397392451763153,
1.0234155654907227,
0.7494785785675049,
-0.5156825184822083,
-0.7497308254241943,
0.5117886066436768,
-0.5720115303993225,
0.18926724791526794,... |
Teacher:In this task you are expected to fix an SQL query based on feedback. You will be given an SQL statement and an English description with what is wrong about that SQL statement. You must correct the SQL statement based off of the feedback. An SQL query works by selecting data from a table where certain conditions... | SELECT DISTINCT state FROM college AS T1 JOIN tryout AS T2 ON T1.cName = T2.cName | 6 | NIv2 | task076_splash_correcting_sql_mistake | zs_opt | [
0.41166120767593384,
0.3565537929534912,
-0.9665157794952393,
0.4507765769958496,
-0.3701059818267822,
-0.3398275673389435,
0.6059408187866211,
0.9997135400772095,
-0.4087168872356415,
0.5116883516311646,
0.21281138062477112,
0.14046895503997803,
-0.005021032877266407,
0.17690616846084595,... |
Teacher: Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
Teacher: Now, understand the problem? If you are still confused, see the following example:
English sentence: How is this possible
Solution: Olee kwere omume?
Reason: The Igbo trans... | Ya mere, mgbe m na-agụ Okwu Pọl na-ekwu na ọ dịghị nkụda. | 2 | NIv2 | task452_opus_paracrawl_en_ig_translation | fs_opt | [
-0.05666354298591614,
0.6701533794403076,
0.3314230144023895,
-0.42758235335350037,
-0.11568516492843628,
-1.3940718173980713,
0.9879871606826782,
-0.16002394258975983,
-0.3103286921977997,
-0.6662474870681763,
-0.1263108253479004,
-0.5686291456222534,
-0.8639273643493652,
0.26134604215621... |
Teacher:Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.
Teacher: Now, understand the problem? Solve this instance: ashgabat
Student: | Ashgabat is the capital of which country, a former Soviet republic in Asia? | 6 | NIv2 | task897_freebase_qa_topic_question_generation | zs_opt | [
0.2506430745124817,
0.2918897569179535,
-0.5381692051887512,
-0.607202410697937,
-0.12001125514507294,
-0.4873257875442505,
0.8471629619598389,
-0.3136879801750183,
0.18814317882061005,
-0.5318189859390259,
-0.6219841241836548,
-0.4007813334465027,
-0.8152763843536377,
-0.6427553296089172,... |
Q: 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].
Verify if the sentiment of the following document towards the entity Jimmy Kimmel is Positive . THEODORE ... | yes | 7 | NIv2 | task423_persent_document_sentiment_verification | zs_opt | [
-0.10474741458892822,
0.10614390671253204,
-0.18283507227897644,
0.029259618371725082,
0.4597257077693939,
-1.0146102905273438,
0.672402024269104,
0.7138247489929199,
-0.2830539345741272,
0.4346323013305664,
0.48714616894721985,
0.6755697131156921,
-0.3295394480228424,
0.22131076455116272,... |
Detailed Instructions: 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 produ... | an animal with feathers can evolve from theropods. | 8 | NIv2 | task038_qasc_combined_fact | zs_opt | [
-0.09467702358961105,
0.915489137172699,
-0.5025604367256165,
0.08255183696746826,
-0.6193556785583496,
-0.9419627785682678,
-0.019706077873706818,
1.2592566013336182,
-0.35404524207115173,
-0.08697509765625,
-1.039512276649475,
0.5052034854888916,
-0.9357813596725464,
0.031005043536424637... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
新薬も発見されつつあります。 | Estanse descubrindo novos fármacos. | 0 | NIv2 | task1095_ted_translation_ja_gl | zs_opt | [
-0.3425620198249817,
0.788742184638977,
-0.13227596879005432,
-0.48831629753112793,
-0.09671803563833237,
-0.6208763122558594,
-0.007820943370461464,
0.8201783895492554,
0.2531237006187439,
-0.9327607750892639,
-0.5245837569236755,
-0.1526399701833725,
-0.5668851137161255,
0.78176426887512... |
Definition: 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 odd 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 odd numbers in an inner li... | [13, -24975, 13365, 0, 23, -41, 1107, 13, 1755, -6105, -826119, -1725] | 2 | NIv2 | task852_synthetic_multiply_odds | zs_opt | [
-0.3747499883174896,
0.3115624189376831,
-0.7273051142692566,
0.019928280264139175,
0.10092528164386749,
0.03242790326476097,
0.8479695916175842,
0.16697734594345093,
0.03448051959276199,
0.09947707504034042,
-1.1472604274749756,
-0.45821982622146606,
-0.4455725848674774,
-0.18341377377510... |
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 sentence in Italian. Your job is to translate the Italian sentence into Arabic.
Penso che abbastanza presto vedrete pazienti curati con le cellule staminali derivanti dal proprio gra... | ذهبنا إلى بلدان أخرى ، مثل ما قلت ذهبنا إلى الدنمارك. | 0 | NIv2 | task1250_ted_translation_it_ar | fs_opt | [
-0.2352508008480072,
0.431169331073761,
-0.11233239620923996,
-0.43785738945007324,
-0.6697556972503662,
-0.12639066576957703,
0.8822909593582153,
0.42663782835006714,
0.24179404973983765,
-0.08879886567592621,
-0.15604858100414276,
0.15271267294883728,
-0.7353320121765137,
0.5408321619033... |
Detailed Instructions: In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
See one example below:
Problem: [-83, 53, -48, 8]
Solution: [-80, 50, -50, 10]
Explanation: The output correctly rounds... | [-710, 260, 800, 810, 920, 350, -740, -600, -20, -710] | 4 | NIv2 | task373_synthetic_round_tens_place | fs_opt | [
-0.3493160009384155,
0.30531013011932373,
-0.5180468559265137,
-0.2708447575569153,
-0.18625929951667786,
-0.4689021110534668,
1.1539061069488525,
-0.2630499601364136,
-0.22255031764507294,
0.5477216243743896,
-0.529140055179596,
-0.15075147151947021,
-0.46990662813186646,
0.06395134329795... |
Q: 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.
1, 3, ['E', 'C', '3909', '2253', '... | E, C, 3909 | 7 | NIv2 | task091_all_elements_from_index_i_to_j | zs_opt | [
-0.7325404286384583,
0.23114114999771118,
-0.6496056318283081,
0.09964759647846222,
0.15002992749214172,
-1.0368517637252808,
0.3678719401359558,
-0.3011329770088196,
-0.5908800959587097,
0.20607532560825348,
-0.7308241128921509,
0.35240650177001953,
0.4129045903682709,
-0.4894554615020752... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.
Example: Ora, lungo il percorso, George segnala che la sua tecnologia, la tecnologia della biologia sintetica, sta accelerando molto più velocemente del tasso previsto dalla Legge di Moore.
Example solution: Ao longo do l... | Solution: Também lhe ofereceram um estágio. | 5 | NIv2 | task1255_ted_translation_it_pt | fs_opt | [
-0.4586946964263916,
1.1540820598602295,
-0.05581153184175491,
-0.332893043756485,
-0.13505232334136963,
-0.8377816677093506,
-0.9628351926803589,
1.740005373954773,
-0.4910739064216614,
0.16178785264492035,
-0.5189574360847473,
0.16837775707244873,
-0.11193366348743439,
-0.095624022185802... |
In this task, you are given a country name and you need to return the continent to which the country belongs.
--------
Question: Saint Pierre and Miquelon
Answer: North America
Question: United Kingdom
Answer: Europe
Question: Netherlands Antilles
Answer: | North America
| 7 | NIv2 | task1321_country_continent | fs_opt | [
0.9283566474914551,
0.8451569080352783,
-0.5834959149360657,
0.011861275881528854,
-0.49684640765190125,
-0.3933008909225464,
0.31251463294029236,
-0.3776274621486664,
-0.3456733226776123,
0.05178888887166977,
0.3120407164096832,
-0.02642274834215641,
-0.2291460931301117,
-0.57059669494628... |
Definition: In this task, you are given an input list A. You need to find all the elements of the list that are numbers and calculate their sum.
Input: ['o', '8089', '2159', '943', '1255', 'w', 'Y', '3723', 'n', '7767', '2209', 'F', 'c', 'J', '5259', '4427', 'n', 'U']
Output: | 35831 | 2 | NIv2 | task499_extract_and_add_all_numbers_from_list | zs_opt | [
-0.45984435081481934,
0.8498746752738953,
-0.913588285446167,
-0.7968152165412903,
0.05296208709478378,
-0.14761076867580414,
0.021863318979740143,
-0.22468280792236328,
-0.24747347831726074,
0.2408975064754486,
-0.8701177835464478,
0.09916866570711136,
0.14051207900047302,
-0.467706620693... |
Teacher:Given a sentence in the Japanese, provide an equivalent translation in Bahasa Indonesia that retains the same meaning through the translation. In translation, keep numbers as it is.
Teacher: Now, understand the problem? Solve this instance: これまで数日間、約100体の遺体が発見され、そして300人以上がまだ行方不明だと推定されている。
Student: | Dalam beberapa hari terakhir, sekitar 100 mayat telah ditemukan dan diperkirakan lebih dari 300 orang masih hilang. | 6 | NIv2 | task1115_alt_ja_id_translation | zs_opt | [
-0.1321217566728592,
0.1459873914718628,
-0.23512378334999084,
-0.3412066102027893,
-0.34588176012039185,
-0.6764570474624634,
0.2430456578731537,
-0.07054461538791656,
-0.7352368831634521,
0.009281372651457787,
-0.34572315216064453,
0.5521842241287231,
-0.6204094290733337,
0.3665095567703... |
In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. There are several possible answers, you'll need to choose the proper one. Carefully read the given text, pay specia... | YEAR | 0 | NIv2 | task304_numeric_fused_head_resolution | zs_opt | [
0.02328995242714882,
0.3916172981262207,
-0.3938874304294586,
0.5579835176467896,
-0.32466578483581543,
-0.17860004305839539,
1.5265944004058838,
0.9011955857276917,
-0.07708320021629333,
0.029618561267852783,
-0.6313610076904297,
0.39966514706611633,
-0.6275904774665833,
0.031342044472694... |
TASK DEFINITION: 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. Y... | Yes
| 8 | NIv2 | task1215_atomic_classification_capableof | fs_opt | [
0.2785743176937103,
0.21128639578819275,
0.28770339488983154,
0.1403404176235199,
-0.19610169529914856,
-0.6612102389335632,
1.0779824256896973,
0.8545985817909241,
-0.08666354417800903,
-0.1820979118347168,
-0.3401719927787781,
0.09019723534584045,
-0.6123377084732056,
0.07172247767448425... |
This task is to identify the language of a sentence correctly by classifying if it is English or Telugu
మోడల్ తయారీదారులు తరగతులు CPD18M | Telugu | 0 | NIv2 | task1618_cc_alligned_classify_tel_eng | zs_opt | [
0.6238123178482056,
-0.17811894416809082,
0.04325804486870766,
-0.5701640248298645,
-0.1870647519826889,
-0.7681601643562317,
-0.11609251797199249,
-0.24790996313095093,
0.33017846941947937,
-0.3394509255886078,
-0.5979218482971191,
-0.5866806507110596,
-0.3861376941204071,
-0.129617765545... |
In this task, you will be presented with a multiple-choice question in Persian, and you should answer the question based on your knowledge. Classify the answers based on options.
Q: رابطه ستون با سقف مانند رابطه : <sep> (A) تیر آهن است با سیمان (B) درخت است با ریشه (C) دیرک است با چادر (D) بدن است با پا
A: | C | 4 | NIv2 | task473_parsinlu_mc_classification | zs_opt | [
0.11354731768369675,
0.8926700353622437,
-0.2914954125881195,
0.15319597721099854,
-0.34901124238967896,
-0.0784410685300827,
1.1541982889175415,
0.3414881229400635,
0.28064608573913574,
0.1613503247499466,
-0.21266786754131317,
0.22730129957199097,
-0.6102464199066162,
0.6031256914138794,... |
Q: In this task, you will be presented with a question having multiple possible answers in Italian language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Question: Sage amava comunicare Gli piaceva fare cosa con i suoi coetanei?
Options: A scambi... | A | 7 | NIv2 | task1143_xcsr_it_commonsense_mc_classification | zs_opt | [
0.0632573738694191,
0.4779965281486511,
0.1542278379201889,
-0.5394612550735474,
-0.1883717179298401,
-0.8819358348846436,
0.8718152046203613,
0.45821672677993774,
-0.25410664081573486,
-0.1427193284034729,
0.19194820523262024,
-0.07522383332252502,
-0.10390234738588333,
-0.173105597496032... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Farsi.
Mas o que é surpreendente é que não foi sempre assim.
اما نکته جالب اینه که اینها همیشه اینجوری نبودن.
E sou escritora.
و یه نویسنده م.
Acredito que em breve os nossos edifícios e máquinas serão capazes de se auto-mo... | معتقدم که خیلی زود ساختمانها و ماشین هاي ما خودشان را گردآوري می كنند ، خودشان را تقليد و تعمیر می کنند.
| 0 | NIv2 | task1282_ted_translation_pt_fa | fs_opt | [
-0.48969459533691406,
0.9495828151702881,
0.16726599633693695,
0.3743226230144501,
-0.3290104866027832,
-0.007244006730616093,
0.7748079895973206,
0.5290991067886353,
0.9683337211608887,
-0.08490090072154999,
-0.9768394827842712,
0.3156258463859558,
-0.8707946538925171,
0.43440037965774536... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Portugese.
وعملية المطالبة بالأماكن إجمالا ليست تصريحا فنيا فحسب وإنما توجها ثوريا لبناء المجتمع | A reivindicação em massa destes espaços não é só uma afirmação artística poderosa, mas também uma abordagem radical para o reforço das comunidades. | 0 | NIv2 | task1109_ted_translation_ar_pt | zs_opt | [
-0.4900108575820923,
1.0012760162353516,
0.3908821940422058,
-0.4352952241897583,
-0.2578291893005371,
0.4036158621311188,
-0.051951441913843155,
0.12202441692352295,
-0.04475034028291702,
-0.643907904624939,
-0.6639053225517273,
-0.1252480447292328,
-0.20504847168922424,
0.009852312505245... |
Given a phrase describing the relationship between two words, extract the words and the lexical relationship between them. The relation has to be of the type 'MemberOf', 'MadeOf', 'Synonym', 'Entails', 'HasA', 'HasProperty', 'PartOf', 'Antonym' or 'IsA'. The output should have the format: word1 relation word2.
bush ca... | mineral Antonym vegetable
| 0 | NIv2 | task1510_evalution_relation_extraction | fs_opt | [
0.5643299221992493,
1.0330173969268799,
0.3285791277885437,
-0.7544690370559692,
-0.8152811527252197,
-1.2667292356491089,
0.8825989961624146,
0.36845630407333374,
0.3143189549446106,
-0.1859995424747467,
-0.8437535166740417,
-0.050164595246315,
-0.8948293924331665,
0.3558432459831238,
0... |
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 a list of... | Output: DISSIMILAR
| 2 | NIv2 | task1408_dart_similarity_classification | fs_opt | [
0.08521872758865356,
0.3785231113433838,
-0.1483953595161438,
-0.01592310518026352,
0.6166217923164368,
0.2885323762893677,
0.7918229699134827,
1.010099172592163,
0.11693385243415833,
0.5922138690948486,
-0.530166506767273,
-0.23079699277877808,
-0.7191066741943359,
-0.34467411041259766,
... |
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 ropivacaine attenuate pulmonary vasoconstriction induced by thromboxane A2 analogue in the isolated perfused rat lung? | 4 | NIv2 | task847_pubmedqa_question_generation | zs_opt | [
0.3738787770271301,
0.5859019160270691,
-0.38179129362106323,
0.35917097330093384,
0.13194414973258972,
-0.08885987848043442,
1.1449971199035645,
1.0125510692596436,
0.42361897230148315,
0.08798782527446747,
-1.101478099822998,
0.1503385305404663,
-0.531061589717865,
-0.24535471200942993,
... |
Teacher:In this task, you are given a sentence in Persian, and your task is to translate it into English.
Teacher: Now, understand the problem? Solve this instance: بعدا به روت گفت راستش به آدمهای حراف اعتراض نمکنم،
Student: | ;I really don't object to platitudes,; he told Ruth later; | 6 | NIv2 | task660_mizan_fa_en_translation | zs_opt | [
0.014657238498330116,
0.886232852935791,
0.493355929851532,
-0.5689888000488281,
-0.891355037689209,
-0.674699068069458,
0.44717687368392944,
0.5307556390762329,
0.7085590362548828,
-0.6373857259750366,
-0.1794360876083374,
0.5609315633773804,
-0.6210944652557373,
-0.4908316135406494,
0.... |
You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For consistency, answers should be in all lower cased letters.
Category: MUSIC APPRECIATION
Clue: This Russian turned some of the music he wrote for the ba... | igor stravinsky | 0 | NIv2 | task305_jeopardy_answer_generation_normal | zs_opt | [
-0.2088077962398529,
1.008652925491333,
-0.11871995031833649,
0.5828884840011597,
0.2233230173587799,
0.9099617004394531,
1.0494557619094849,
0.016045106574892998,
0.6883561015129089,
-0.03258640319108963,
-0.45816534757614136,
-0.3783200681209564,
-0.4449467062950134,
0.15811967849731445,... |
Given the task definition and input, reply with output. In this task, you are given a text of article and corresponding title of an article. Your task is to generate label "yes" if headline (title) is right for article, otherwise generate "no".
Article: malaysia 's prime minister abdullah ahmad badawi on tuesday rejec... | yes | 5 | NIv2 | task289_gigaword_summarization | zs_opt | [
-1.0503826141357422,
0.5518162250518799,
0.30728232860565186,
-0.702115535736084,
-0.33422157168388367,
0.22786563634872437,
0.961188793182373,
0.11089077591896057,
0.06952542811632156,
0.00044201966375112534,
-0.8131691813468933,
0.17567701637744904,
-0.10091006755828857,
0.23564434051513... |
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 sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
Pero comenzamos con la idea de un niño por vez.
Solution: אבל התחלנו לממש את הרעיון של ללמד כל ילד בנפ... | ריקארדו סמלר: זה קורה. זה קרה לפני שבועיים בערך עם ריצ 'ארד ברנסון, עם האנשים שלו שאמרו, או, אני לא רוצה לשלוט יותר בחופשות שלכם, או נטפליקס עושה מעט מזה ומזה, אבל אני לא חושב שזה ממש חשוב. | 0 | NIv2 | task1229_ted_translation_es_he | fs_opt | [
-0.9699844121932983,
0.09600086510181427,
0.40147385001182556,
-0.5421801805496216,
-0.27077943086624146,
0.770093560218811,
0.9622673392295837,
0.5030519962310791,
0.24837884306907654,
-0.5156272649765015,
0.34582632780075073,
0.18091899156570435,
-1.195711374282837,
-0.14159712195396423,... |
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 information to create the q... | What does the lion head of the chimera symbolize? | 0 | NIv2 | task235_iirc_question_from_subtext_answer_generation | zs_opt | [
0.004312099888920784,
0.6920931339263916,
-0.02526397816836834,
0.29089251160621643,
-0.7293721437454224,
0.04527268931269646,
0.2559468448162079,
0.436066597700119,
-0.17392393946647644,
-0.7252969741821289,
-0.3356683850288391,
-0.05726407468318939,
-1.0527868270874023,
0.578584790229797... |
In this task, You are given an amazon food product review and its summary. Your task is to Generate "True" if given review and its summary match, otherwise generate "False".
Input: Consider Input: I used to get these instore and found a cheaper deal on Amazon. I recently realize when you open the bag, there's a strong... | Output: False
| 2 | NIv2 | task590_amazonfood_summary_correction_classification | fs_opt | [
-0.2667858600616455,
-0.05146937817335129,
-0.40992289781570435,
-0.3015247881412506,
0.35990917682647705,
-0.6533578634262085,
0.5192124247550964,
1.0604945421218872,
-0.0890510156750679,
0.46253693103790283,
-0.19693222641944885,
-0.019832978025078773,
-0.5929290652275085,
-0.19175067543... |
Detailed Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Polish.
Q: Que mensaxe temos que dar ás mulleres que traballan con e para nós?
A: | Co musimy powiedzieć kobietom, które z nami i dla nas pracują? | 9 | NIv2 | task1244_ted_translation_gl_pl | zs_opt | [
-0.9571331739425659,
1.154770016670227,
-0.39700305461883545,
-0.7830319404602051,
-0.05987507849931717,
-1.5990421772003174,
0.8529015183448792,
-0.5719773769378662,
-0.044439710676670074,
0.1656396985054016,
-0.2947256565093994,
0.2699793577194214,
-0.10370750725269318,
0.519106209278106... |
Teacher: 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. Yo... | Yes | 2 | NIv2 | task1197_atomic_classification_oreact | fs_opt | [
0.09513118118047714,
-0.2188158631324768,
0.3770172595977783,
-0.01898007281124592,
-0.13803938031196594,
-0.9641399383544922,
0.8436471223831177,
0.6683480739593506,
-0.4300728142261505,
-0.14428430795669556,
-0.17052167654037476,
-0.13019216060638428,
-0.8050181865692139,
0.0632313340902... |
A text is given in Gujarati. Translate it from the Gujarati language to the Panjabi language. The translation must not omit or add information to the original sentence.
ਮੈਂ ਵਿੱਤ ਮੰਤਰੀ ਮਾਣਯੋਗ ਅਰੁਣ ਜੇਟਲੀ ਜੀ ਨੂੰ ਇਸ ਬਜਟ ਲਈ ਵਧਾਈ ਦਿੰਦਾ ਹਾਂ। ਇਹ ਬਜਟ ਨਿਊ ਇੰਡੀਆ ਦੀ ਨੀਂਹ ਨੂੰ ਮਜ਼ਬੂਤ ਕਰਨ ਵਾਲਾ ਬਜਟ ਹੈ। | આ બજેટમાં ખેડૂતોની સ્થિતિને વધુ મજબૂત કરવા માટે અને તેમની આવક વધારવાની દિશામાં પગલાં ભરવાની રજૂઆત કરવામાં આવી છે. | 0 | NIv2 | task1044_pib_translation_punjabi_gujarati | zs_opt | [
-1.1007869243621826,
0.8345228433609009,
-0.20898224413394928,
0.3960060179233551,
0.21347160637378693,
-1.011791706085205,
0.4556860625743866,
-0.16702838242053986,
0.35560113191604614,
-0.3285059332847595,
-0.3807829022407532,
-0.4283296465873718,
-0.831254243850708,
0.75864577293396,
... |
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.
Ex Input:
Lilly barbecues fish on the ground
Lilly ... | second
| 1 | NIv2 | task291_semeval_2020_task4_commonsense_validation | fs_opt | [
-0.3578799068927765,
0.7536718845367432,
-0.35984674096107483,
-0.32328975200653076,
-0.23737916350364685,
-0.3990412950515747,
0.3820284605026245,
0.3125326633453369,
-0.08579737693071365,
-0.20068995654582977,
-0.8727372884750366,
-0.3318365216255188,
-0.9160903096199036,
0.0919951349496... |
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