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 |
|---|---|---|---|---|---|---|
Q: In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original" or "Changed" based... | Original | 7 | NIv2 | task515_senteval_odd_word_out | zs_opt | [
-1.0730708837509155,
1.1868863105773926,
0.5131347179412842,
-0.45004260540008545,
-0.3170154094696045,
-0.43164029717445374,
0.2730138301849365,
0.5839430093765259,
0.4278861880302429,
-0.5443944334983826,
-0.6293936967849731,
-0.32385846972465515,
-0.9075838327407837,
0.1348525881767273,... |
Detailed Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English.
See one example below:
Problem: Os astrónomos acreditam que cada estrela da galáxia tem um planeta, e especulam que até um quinto deles tem um planeta do tipo da Terra que poderá ter vida, mas a... | And I think, if we can make inorganic biology, and we can make matter become evolvable, that will in fact define life. | 4 | NIv2 | task1274_ted_translation_pt_en | fs_opt | [
-0.06444641947746277,
0.2112889438867569,
0.28567588329315186,
-0.4905342161655426,
-0.009730596095323563,
-0.6969467401504517,
-0.3855472505092621,
0.450547456741333,
0.2289695292711258,
0.27514445781707764,
-0.11684723198413849,
0.3628798723220825,
-0.49543407559394836,
0.007530570495873... |
Definition: 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.
Input: 2, 5, ['4557', '88... | 881, 2843, 7661, 3377 | 2 | NIv2 | task091_all_elements_from_index_i_to_j | zs_opt | [
-0.49328094720840454,
0.09363135695457458,
-0.6537731885910034,
0.09164996445178986,
0.06063292920589447,
-0.14315751194953918,
0.2134074866771698,
-0.42352473735809326,
-0.08254308253526688,
-0.1577850878238678,
-1.06139075756073,
-0.22909760475158691,
0.1818941980600357,
-0.1810311377048... |
In this task, you're given the middle and ending of a three-part story. Your job is to complete the short story by writing a probable beginning of the story. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating ... | Amy wanted strawberry ice cream.
| 7 | NIv2 | task072_abductivenli_answer_generation | fs_opt | [
0.12409979104995728,
0.7881612777709961,
0.057573072612285614,
-0.4801880121231079,
-0.3498246967792511,
-0.19294902682304382,
0.4157761335372925,
0.3338579535484314,
-0.30820131301879883,
-0.20443207025527954,
-0.4598333239555359,
-0.021579883992671967,
-0.5976401567459106,
0.002994324080... |
In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independence of Catalonia then it's 'Against' and if the tweets support it then it wi... | Against | 9 | NIv2 | task1646_dataset_card_for_catalonia_independence_corpus_text_classification | fs_opt | [
0.3141792416572571,
0.08271375298500061,
-0.11813811957836151,
0.40218454599380493,
-0.03324054181575775,
-1.2326817512512207,
0.6899814605712891,
0.7936848998069763,
0.2683466374874115,
0.27029573917388916,
-0.3240458369255066,
0.053243812173604965,
0.18481707572937012,
0.1239825859665870... |
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... | Positive | 0 | NIv2 | task421_persent_sentence_sentiment_classification | zs_opt | [
-1.0619561672210693,
0.16653034090995789,
0.2502210736274719,
0.7801470160484314,
0.4510560631752014,
-1.6160926818847656,
0.3150511682033539,
0.3797009587287903,
0.660565197467804,
0.4495770335197449,
-0.17833390831947327,
0.16597336530685425,
-0.42976754903793335,
-0.5019149780273438,
... |
Instructions: In this task, you're given an article, a question which often contains a blank, four options (associated with "A", "B", "C", "D") and the answer to that question. Your task is to classify whether the given answer is correct or not by providing "Yes" or "No", based on the article.
Input: Article: A teddy b... | No | 3 | NIv2 | task310_race_classification | zs_opt | [
-0.018525496125221252,
0.9453809261322021,
-0.17780451476573944,
-0.052908558398485184,
0.5280531048774719,
-0.5767650008201599,
0.033439699560403824,
0.5337669253349304,
-0.06707277148962021,
0.2632143497467041,
-0.560976505279541,
0.38709259033203125,
-0.4506802558898926,
0.1963985562324... |
instruction:
In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. The passage is unrelated if it does not convey a ster... | Unrelated
| 9 | NIv2 | task279_stereoset_classification_stereotype | fs_opt | [
-0.2246503233909607,
0.18140295147895813,
-0.4556261897087097,
-0.11312439292669296,
-0.39885446429252625,
0.10182498395442963,
0.8791564702987671,
0.7129002213478088,
0.4249301552772522,
-0.05159931629896164,
-0.6934990882873535,
0.0833432748913765,
-0.5335195660591125,
-0.045879386365413... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
Example: Tra di esse, si annovera il piccolo sistema in arabo detto al-jebr.
Output: Isto inclúe un sistema en árabe chamado al-jebra.
The Italia... | (Risas) Pero paga a pena. | 1 | NIv2 | task1252_ted_translation_it_gl | fs_opt | [
-0.13654112815856934,
1.274064302444458,
-0.16161061823368073,
0.39281806349754333,
-0.3390335142612457,
-0.21318954229354858,
0.9428722858428955,
0.7693219780921936,
-0.7506237030029297,
0.031876206398010254,
-0.2372378259897232,
-0.35430067777633667,
-0.4961654543876648,
0.62641131877899... |
In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independence of Catalonia then it's 'Against' and if the tweets support it then it wi... | Favor
| 6 | NIv2 | task1646_dataset_card_for_catalonia_independence_corpus_text_classification | fs_opt | [
-0.00003908737562596798,
0.25005120038986206,
-0.23895928263664246,
0.3362692892551422,
-0.2362080216407776,
-1.0033833980560303,
0.5905396938323975,
1.049403429031372,
-0.005529617890715599,
0.1210106834769249,
-0.5168507099151611,
0.3368363380432129,
-0.18051686882972717,
-0.577544927597... |
Instructions: 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.
Input: Statement: But too often downsizing means what ... | 3 | 3 | NIv2 | task202_mnli_contradiction_classification | zs_opt | [
-0.45684802532196045,
0.15485939383506775,
-0.950558066368103,
0.12629380822181702,
-0.016188446432352066,
-0.7115806341171265,
-0.04089824855327606,
0.2850587069988251,
-0.5618584156036377,
0.3874150514602661,
-0.6304434537887573,
-0.7309926748275757,
0.2939780354499817,
-0.74805796146392... |
Given an entity, a before event, an after event, and an attribute related to the entity, generate a sentence as output. Your sentence should show the changes in the attribute of the entity.
One example is below.
Q: entity: arm
before: free
after: grasped
attr: state
A: state of arm was free before and grasped after... | state of you was working on your viola racket before and now finished afterwards | 9 | NIv2 | task1631_openpi_answer_generation | fs_opt | [
0.06591147184371948,
0.9989126920700073,
-0.2824034094810486,
-0.04619713872671127,
-0.5337536931037903,
-1.214114785194397,
0.10089108347892761,
0.9285188913345337,
0.3943521976470947,
-0.3835223913192749,
-0.012551022693514824,
0.09085069596767426,
-0.6739904284477234,
-0.480497807264328... |
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: religious or non-political religious on the top... | non-religious | 0 | NIv2 | task1492_bengali_religious_hate_speech_binary_classification | zs_opt | [
-0.814388632774353,
-0.43558984994888306,
0.24484135210514069,
0.2760471701622009,
-0.5651175379753113,
-0.4795287251472473,
-0.02735878713428974,
0.027837587520480156,
-0.03709559887647629,
0.01420887652784586,
-0.5447302460670471,
-0.4713461399078369,
-0.1368245780467987,
-0.271420538425... |
Given the task definition and input, reply with output. In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long.
French President Emmanuel Macro... | Emmanuel Macron: French president announces 'fake news' law | 5 | NIv2 | task1358_xlsum_title_generation | zs_opt | [
-0.6448385715484619,
0.9131396412849426,
0.5295330286026001,
-0.4322603940963745,
-0.15380463004112244,
-0.35727500915527344,
0.18108230829238892,
0.15433144569396973,
-0.49454039335250854,
0.4745383560657501,
-1.2218536138534546,
0.4422852694988251,
-0.4858938455581665,
-0.566758394241333... |
Q: In this task you will be given a string of characters. You should remove all vowels from the given string. Vowels are: i,e,a,u,o. The character 'y' or 'Y' does not count as a vowel.
jiCnUIsHbITXUbzU
A: | jCnsHbTXbz | 7 | NIv2 | task365_synthetic_remove_vowels | zs_opt | [
0.5321739912033081,
1.053636074066162,
-0.36319705843925476,
-0.5544135570526123,
0.45832595229148865,
-0.9726795554161072,
0.5236468315124512,
0.5473306179046631,
0.11960385739803314,
-0.42339029908180237,
-0.1114475205540657,
-0.38166821002960205,
0.19197438657283783,
-0.7786747813224792... |
In this task, you need to remove 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.
Example Input: Sentence: 'kitchen with white cupboards and appliances and clear dining room table and chairs'. Remove all words of length... | there is child that is sleeping on the bench
| 3 | NIv2 | task377_remove_words_of_given_length | fs_opt | [
0.09759019315242767,
0.42003145813941956,
-0.44549763202667236,
-0.8339362740516663,
0.10452324151992798,
-0.4121202528476715,
-0.03031342476606369,
0.5599220991134644,
0.10255737602710724,
-0.24832254648208618,
-0.8499295711517334,
-0.3006960451602936,
-0.7554976940155029,
-0.230900853872... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to determine if the two sentences clearly agree/disagree with each other, or if this can't be determined. Indicate your answer as yes or no respectively.
One example is below.
Q: Sentence 1: Next to the MGM Grand you will find M and ... | yes | 9 | NIv2 | task199_mnli_classification | fs_opt | [
-0.4591466188430786,
0.2010105550289154,
1.0208003520965576,
-0.2936330735683441,
0.22243145108222961,
-1.133463978767395,
-0.3060576915740967,
0.5295952558517456,
0.26862359046936035,
-0.01586088165640831,
-0.20155717432498932,
-1.411237359046936,
-0.3429136276245117,
-0.2587008476257324,... |
Detailed Instructions: This task is to translate the Telugu Language Input to English Language Output
Q: మరియు మీరు నేను ఏ ద్వేషం పట్టించుకోనట్లు లేదు తెలుసు
A: | And you know I don’t care about no hate | 9 | NIv2 | task1617_cc_alligned_translate_tel_eng | zs_opt | [
0.44472217559814453,
0.13315491378307343,
0.6044743061065674,
0.19184094667434692,
0.1628057360649109,
-1.311635136604309,
-0.1555863618850708,
-0.40171143412590027,
0.3275488615036011,
-0.22031964361667633,
0.4928516745567322,
0.10742056369781494,
-0.5877113342285156,
-0.12655644118785858... |
TASK DEFINITION: In this task you will be given a list of integers. For every element in the list, if the element is positive you should multiply it by 2. If the element is negative you should multiply it by -3. The output should be a list of integers that is the result of applying that logic to the input list.
Note:... | [120, 123, 147]
| 8 | NIv2 | task374_synthetic_pos_or_neg_calculation | fs_opt | [
-0.6091798543930054,
0.2679789364337921,
-0.3537925183773041,
-0.058653973042964935,
0.19183430075645447,
-0.02661953866481781,
1.3169094324111938,
0.35162535309791565,
-0.33271706104278564,
0.04611090570688248,
-0.6812864542007446,
-0.13415998220443726,
-0.5284198522567749,
-0.12334185838... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | No | 8 | NIv2 | task1205_atomic_classification_isafter | fs_opt | [
0.3830914795398712,
0.09350664913654327,
0.3468145728111267,
0.06234664469957352,
-0.5244385004043579,
-0.9190516471862793,
1.134164571762085,
0.4807378649711609,
-0.3241857588291168,
-0.05266377329826355,
-0.5469042062759399,
-0.744408369064331,
-0.7493681311607361,
0.07982464134693146,
... |
instruction:
In this task, you're given a context, a question, and three options. Your task is to find the correct answer to the question using the given context and options. Also, you may need to use commonsense reasoning about social situations to answer the questions. Classify your answers into 'A', 'B', and 'C'.
qu... | C
| 9 | NIv2 | task580_socialiqa_answer_generation | fs_opt | [
0.46716544032096863,
0.5892179608345032,
-0.2906341552734375,
-0.04085282236337662,
-0.11937423050403595,
-0.12672525644302368,
0.6398187875747681,
0.7072160243988037,
0.032393794506788254,
0.29243284463882446,
0.01568794623017311,
-0.3009869456291199,
0.3317067623138428,
-0.19617573916912... |
Definition: You are given a question or fill-in-the-blank question, two answer options (Option1 and Option2) and an Explanation. Your task is to find the correct answer (return the string of the correct option, not option1/2) for the given question from the given options and using explanation.
Input: Question: Water wi... | less | 2 | NIv2 | task178_quartz_question_answering | zs_opt | [
-0.7232339382171631,
0.603720486164093,
-0.45299679040908813,
-0.017359714955091476,
-0.15513867139816284,
-0.535469114780426,
0.7788181304931641,
0.35958772897720337,
0.344351202249527,
-0.2415970265865326,
-0.5520334839820862,
-0.6127282977104187,
-0.048989973962306976,
-0.01563668251037... |
Teacher:In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have t... | No | 6 | NIv2 | task1215_atomic_classification_capableof | zs_opt | [
0.3578895926475525,
0.517948567867279,
0.6602205038070679,
-0.40832966566085815,
-0.42177146673202515,
-0.7974408268928528,
1.130396842956543,
0.1818946897983551,
0.1104583889245987,
-0.5977159738540649,
-0.4541383683681488,
-0.16830523312091827,
-0.4986029267311096,
0.2763321101665497,
... |
In this task, you are given a sentence in Arabic, and your task is to translate it into English.
فظيع جداً. | Pretty awful. | 0 | NIv2 | task650_opus100_ar_en_translation | zs_opt | [
-0.14170438051223755,
0.8964424133300781,
0.39073413610458374,
-1.025138020515442,
-0.12980696558952332,
-0.1928456425666809,
0.35439714789390564,
-0.045144811272621155,
0.40221941471099854,
0.520988941192627,
-1.1570236682891846,
-0.2749127149581909,
-0.7331076264381409,
0.220502793788909... |
In this task you will be given a list of numbers and you should remove all duplicates in the list. If every number is repeated in the list an empty list should be returned. Your list should be numbers inside brackets, just like the given list.
One example: [0,1,0,2,5,1]
Solution is here: [2,5]
Explanation: The only ele... | [6] | 6 | NIv2 | task097_conala_remove_duplicates | fs_opt | [
-0.16943256556987762,
0.2665250897407532,
-0.18589496612548828,
-0.6565956473350525,
0.21359136700630188,
-0.552200198173523,
1.4240756034851074,
0.20867685973644257,
-0.7419579029083252,
-0.08358889073133469,
-1.1672810316085815,
-0.36096101999282837,
-0.3665233254432678,
-0.5959892272949... |
Detailed Instructions: In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset o... | NOUN | 8 | NIv2 | task1168_brown_coarse_pos_tagging | zs_opt | [
0.4308551549911499,
0.4665888547897339,
-0.2745678126811981,
0.2501958906650543,
-0.11931736022233963,
-0.7124408483505249,
0.6380243897438049,
0.6535921096801758,
-0.22001896798610687,
-0.18620067834854126,
-0.46895354986190796,
0.4607125520706177,
-0.5305798053741455,
0.23294974863529205... |
Given a sentence in the Japanese, provide an equivalent translation in Thai that retains the same meaning through the translation. In translation, keep numbers as it is.
One example: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。
Solution is here: อิตาลีได้เอาชนะโปรตุเกสด้วยคะแนน31ต่อ5 ในกลุ่มc ของก... | รองศาสตราจารย์ มาร์ติน เซเวอร์ประจำคณะฟิสิกส์ ของมหาวิทยาลัยเมลเบิร์น อ้างว่าการศึกษาล่าสุดสนับสนุนกรณีที่ออสเตรเลียจะลงทุนในพลังงานนิวเคลียมากขึ้น | 6 | NIv2 | task1127_alt_ja_th_translation | fs_opt | [
0.12281987071037292,
0.4385071396827698,
-0.8998293876647949,
0.2929036617279053,
-0.005122649483382702,
-0.7352490425109863,
0.21297255158424377,
0.33470019698143005,
0.12108425796031952,
-0.42859384417533875,
-0.9599050879478455,
1.0748817920684814,
-0.32661131024360657,
0.71588802337646... |
In this task, you are given a question, and your task is to predict the context of the question. We assume that someone named X asked the question from Y. The context of the question means the previous situation that led X to ask this question.
Ex Input:
Have you had
Ex Output:
Y has just told X that he/she is consid... | X wants to know what activities Y likes to do during weekends.
| 1 | NIv2 | task567_circa_text_generation | fs_opt | [
-0.4235520362854004,
0.5409718155860901,
-0.8218986392021179,
0.7163452506065369,
0.3144073784351349,
-0.1369914710521698,
-0.07100626081228256,
0.847213625907898,
0.7255280017852783,
-0.07852242141962051,
-0.5657490491867065,
0.06205981597304344,
-0.3468167185783386,
0.06593295186758041,
... |
instruction:
In this task, you're given a review from Amazon and your task is to generate the name of the category of the product based on the review given by the user. The categories are: kitchen, office product, watch, wireless, other, toy, digital video download, camera, jewelry, pet products, sports, industrial sup... | musical instruments
| 9 | NIv2 | task617_amazonreview_category_text_generation | fs_opt | [
-0.163113534450531,
0.2538551688194275,
-0.7038866281509399,
0.31052306294441223,
0.40151864290237427,
-0.06681674718856812,
0.046029895544052124,
0.4931618273258209,
-0.38799333572387695,
0.5691843032836914,
-0.2867008447647095,
0.2959558367729187,
-0.00002673710696399212,
-0.390008330345... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
--------
Question: Pero no podemos abandonarlo ahora; tenemos que empujar hacia adelante, lograr que la fusión suceda.
Answer: Ale nie możemy teraz przerwać, musimy przeć naprzód spowodować, że fuzja będzie rzeczywistością.... | Ile bomb spadło na obszar 3 km2 terenu zakładu?
| 7 | NIv2 | task1102_ted_translation_es_pl | fs_opt | [
-0.2966178059577942,
1.5036065578460693,
0.19005465507507324,
0.12505975365638733,
-0.44173943996429443,
0.15323103964328766,
0.9567620158195496,
0.573858380317688,
0.31936556100845337,
-0.23591256141662598,
-0.2914438843727112,
0.33495819568634033,
-0.5980038046836853,
0.20443269610404968... |
Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Japanese.
Input: وسيصل ذلك لحوالي تسعة بليونات.
Output: | 90億人程度まで増加します | 3 | NIv2 | task1231_ted_translation_ar_ja | zs_opt | [
0.055024296045303345,
-0.11938467621803284,
-0.23138293623924255,
-0.33493900299072266,
-0.4447645843029022,
0.6267195343971252,
0.14588826894760132,
-0.46617287397384644,
0.45509225130081177,
-1.1555697917938232,
-0.5619114637374878,
-0.0006136797601357102,
-0.8396381139755249,
0.49831014... |
You are given a statement written in Malayalam. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
[Q]: Statement: കുലശേഖര സാമ്രാജ്യത്തിന്റെ അധഃപതനത്തെ തുടർന്ന്(1102) നാടിന്റെ നാനാഭാഗങ്ങളിലായി അനേകം സ്വതന്ത്രനാ... | കണ്ണൂരും
| 5 | NIv2 | task949_wiki_cloze_ml_multiple_choice_question_answering | fs_opt | [
0.9191218018531799,
0.9415919780731201,
-0.22074958682060242,
-0.06707996129989624,
0.6949865818023682,
-0.5384947657585144,
0.2947216033935547,
0.9997439980506897,
-0.3060173988342285,
0.636172890663147,
0.277616947889328,
0.6434556245803833,
-0.6051022410392761,
-0.3386519253253937,
0.... |
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.
Input: Consider Input: I see the TV crews from the West come to film documentaries.
Output: Plural
I... | Output: Plural
| 2 | NIv2 | task431_senteval_object_count | fs_opt | [
-0.7780017256736755,
0.7422835230827332,
0.18517422676086426,
0.13096480071544647,
0.00684077013283968,
-0.010288244113326073,
0.4175998270511627,
0.33031439781188965,
0.25776875019073486,
-0.4154873490333557,
-0.12019675970077515,
-0.15381626784801483,
-0.5334305167198181,
-0.669399738311... |
Given a set of four words, generate the category that the words belong to. Words are separated by commas. The possible categories are social gathering, accomodation, physical property, measurement unit, corporate, nutritional value, boats, police punishment, location (proximity), card games, outdoor sport activity, mil... | physical activity | 6 | NIv2 | task143_odd-man-out_classification_generate_category | fs_opt | [
0.05434103310108185,
0.18990692496299744,
-0.8042396903038025,
0.35871219635009766,
0.20472171902656555,
-0.13565579056739807,
-0.21625235676765442,
0.9938030242919922,
-0.04709729924798012,
-0.01434185542166233,
-0.4776594042778015,
0.03430056571960449,
-0.2563892900943756,
-0.47213348746... |
Teacher:You are given a sentence in Persian. Your job is to translate the Farsi sentence into Hebrew.
Teacher: Now, understand the problem? Solve this instance: اغلب راهی برای انتخاب این که درست یا غلط است وجود دارد
Student: | ברב המקרים יש דרך די טובה להחליט, שמשהו נעשה כמו שצריך, ומשהו אחר לא בוצע בצורה טובה. | 6 | NIv2 | task1269_ted_translation_fa_he | zs_opt | [
-1.0370498895645142,
0.14929063618183136,
0.4034039080142975,
0.25859951972961426,
-0.7282314896583557,
-0.05666111782193184,
1.0798416137695312,
0.4054599106311798,
0.7358640432357788,
-0.1022452637553215,
-0.230216383934021,
0.2607104778289795,
-0.5702503323554993,
-0.13642171025276184,
... |
Q: Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can be directly excluded without reasoning according to the context. Try to ma... | evening shifts. | 7 | NIv2 | task025_cosmosqa_incorrect_answer_generation | zs_opt | [
0.5299473404884338,
0.30350223183631897,
-0.28606224060058594,
0.5811276435852051,
-0.14081808924674988,
0.025713810697197914,
0.715732216835022,
0.9394060969352722,
0.622722864151001,
-0.47834503650665283,
-0.8180260062217712,
-0.45511674880981445,
-0.9248827695846558,
-0.175645649433136,... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Farsi.
E eu digo-lhes: "" No ano passado tivemos a sorte "de ter 450 000 celebridades embaixadoras." E eles perguntam: "" O que quer dizer com isso?... | و من بهشون می گم ، "" پارسال ما به اندازه کافی خوش شانس بودیم که ۴۵۰ ٫ ۰۰۰ عضو مشهور داشتیم. "" و اون ها می گن ، "" چی ؟ منظورت چیه ؟ "" هر شخص ، هر برادر و خواهر سبیلو که در مومبر مشارکت می کنه عضو افتخاری ماست ، و این خیلی خیلی مهمه و برای موفقیت ما حیاتی است. | 1 | NIv2 | task1282_ted_translation_pt_fa | zs_opt | [
0.03602178394794464,
0.5497428178787231,
0.18122245371341705,
0.0663377121090889,
-0.0722096860408783,
0.05755774676799774,
-0.1974669098854065,
0.06508518010377884,
0.22841188311576843,
0.003344587981700897,
-0.937674880027771,
0.09834496676921844,
-0.5077719688415527,
0.11899442225694656... |
In mathematics, the absolute value of a number is the non-negative value of that number, without regarding its sign. For example, the absolute value of -2 is 2, and the absolute value of 5 is 5. In this task you will be given a list of numbers and you need to return the element with highest absolute value. If a negativ... | 77.429
| 1 | NIv2 | task095_conala_max_absolute_value | fs_opt | [
0.1340104341506958,
0.06182841211557388,
-0.30495238304138184,
0.48007312417030334,
0.0911538302898407,
-0.35711321234703064,
0.46280860900878906,
1.0842441320419312,
0.20023472607135773,
-0.166270911693573,
-0.5645321607589722,
-0.04754570499062538,
-0.04029900208115578,
-0.02121174335479... |
Teacher:In this task, you are given a set of context paragraph and some supporting facts to answer a question. Your task is to generate answer for given question based on set of context paragraphs and supporting facts.
Teacher: Now, understand the problem? Solve this instance: Context_1 : The Faroe Islands women's nati... | DPR Korea Football Association | 6 | NIv2 | task170_hotpotqa_answer_generation | zs_opt | [
1.2718267440795898,
0.23034672439098358,
-1.050197720527649,
-0.43294721841812134,
0.5142785906791687,
-0.7021480798721313,
0.434329628944397,
0.798434853553772,
-0.24143965542316437,
-0.059092968702316284,
-0.33601003885269165,
1.1664702892303467,
-0.9283832907676697,
0.29399991035461426,... |
instruction:
In this task, you are given a sentence which is either in the Swedish language or English language. You task is to identify the language of input sentence. Input sentence can be in Swedish or English language only and also it cannot have two languages at a time.
question:
Med företagsamhet menar jag ingalu... | Swedish
| 9 | NIv2 | task315_europarl_sv-en_language_identification | fs_opt | [
-0.46305811405181885,
0.7496240139007568,
0.7283945083618164,
-0.24314013123512268,
0.06563541293144226,
0.14812171459197998,
0.545102596282959,
0.14858955144882202,
0.4222087264060974,
0.10699418187141418,
0.08681109547615051,
0.36621296405792236,
0.20075413584709167,
-0.3860226571559906,... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to deter... | Yes | 4 | NIv2 | task1203_atomic_classification_xreact | zs_opt | [
0.05711975693702698,
0.35837921500205994,
0.5266551971435547,
-0.46067965030670166,
-0.5209819674491882,
-0.9812612533569336,
1.5154670476913452,
0.3150149881839752,
-0.3814607262611389,
-0.4420689642429352,
-0.3950407803058624,
-0.16795048117637634,
-0.655906617641449,
0.46400025486946106... |
Detailed Instructions: In this task, you need to replace a letter in the sentence with another given letter.
Q: Sentence: 'a group of people standing next to each other in a room'. Replace the letter 'o' with 'p' in the sentence.
A: | a grpup pf pepple standing next tp each pther in a rppm | 9 | NIv2 | task160_replace_letter_in_a_sentence | zs_opt | [
0.11679013073444366,
1.037904977798462,
-0.8095190525054932,
-0.6710675358772278,
-0.22441793978214264,
-0.6145234107971191,
0.3242078125476837,
0.3027482032775879,
1.0658329725265503,
-0.3872707784175873,
-0.026272760704159737,
-0.034510593861341476,
-0.21641258895397186,
-0.8957263827323... |
Detailed Instructions: In this task, you have to generate the title of the recipe given its required ingredients and directions.
Problem:ingredients: '2 cups white sugar', '1 cup shortening', '2 eggs', '1 cup sour cream', '1 teaspoon vanilla extract', '5 cups all-purpose flour', '2 teaspoons baking powder', '1 teaspoo... | Beth'S Orange Cookies | 8 | NIv2 | task569_recipe_nlg_text_generation | zs_opt | [
0.8560383319854736,
0.2621871531009674,
-0.22064846754074097,
0.1477339267730713,
0.4283783435821533,
0.04597499221563339,
0.5756772756576538,
1.1091647148132324,
-0.6250408887863159,
-0.11292018741369247,
0.03391152620315552,
-0.4494459927082062,
-0.22728876769542694,
0.06629080325365067,... |
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're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if t... | C | 0 | NIv2 | task190_snli_classification | fs_opt | [
-0.6680084466934204,
0.46592652797698975,
0.26525914669036865,
-0.4464975595474243,
0.4254802465438843,
-0.35018935799598694,
-0.15283343195915222,
0.3608003258705139,
0.410988986492157,
0.14525450766086578,
-0.09754481911659241,
-0.3631741404533386,
-0.34728842973709106,
-0.19779507815837... |
Detailed Instructions: 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 simplicity, answers should be in all lower cased letters.
See one example below:
Problem: Category: HOMOPHONIC PAIRS
Clue: It's a... | brad pitt | 4 | NIv2 | task308_jeopardy_answer_generation_all | fs_opt | [
-0.1472054421901703,
0.4920547604560852,
-0.5099780559539795,
0.297502726316452,
0.48277586698532104,
-0.27113425731658936,
0.9189151525497437,
0.46806585788726807,
0.20292937755584717,
0.4799952208995819,
-0.4914664626121521,
0.21704277396202087,
-0.40915611386299133,
-0.00760128628462553... |
In this task, you will be presented with a question in Dutch language, and you have to write the person names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Phrase used for the person name - PER. There can be instances with no person name entity, then return 'None'.
"... | None
| 0 | NIv2 | task1545_conll2002_person_name_extraction_answer_generation | fs_opt | [
0.04536212235689163,
-0.04667963832616806,
-0.865807294845581,
0.09312818199396133,
0.6255971193313599,
-1.0006533861160278,
1.7080248594284058,
0.5250824689865112,
-0.5500849485397339,
-0.29309454560279846,
-0.3800341486930847,
0.7316009402275085,
-0.2149205207824707,
0.27828115224838257,... |
The given sentence contains a typo which could be one of the following four types: (1) swapped letters of a word e.g. 'niec' is a typo of the word 'nice'. (2) missing letter in a word e.g. 'nic' is a typo of the word 'nice'. (3) extra letter in a word e.g. 'nicce' is a typo of the word 'nice'. (4) replaced letter in a ... | drak
| 0 | NIv2 | task088_identify_typo_verification | fs_opt | [
-0.8416032791137695,
0.2878821790218353,
0.3630949556827545,
0.02041424810886383,
0.4057803750038147,
-0.9352454543113708,
0.749919056892395,
0.012445585802197456,
0.05836845189332962,
0.2824465334415436,
0.0749581903219223,
-0.5531190037727356,
-0.8104782104492188,
-0.017361387610435486,
... |
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 and their positions in the s... | 5a, 2b
| 0 | NIv2 | task222_rocstories_two_chioce_slotting_classification | fs_opt | [
-0.12954141199588776,
0.7286771535873413,
-0.10834133625030518,
0.5301386117935181,
-0.07852113246917725,
0.1378978043794632,
0.17074044048786163,
1.2346470355987549,
-0.1685502976179123,
-0.15178029239177704,
-0.7420635223388672,
0.12034209072589874,
0.5126229524612427,
-0.409728348255157... |
Detailed Instructions: In this task, you're given a context, a question, and three options. Your task is to find the correct answer to the question using the given context and options. Also, you may need to use commonsense reasoning about social situations to answer the questions. Classify your answers into 'A', 'B', a... | C | 4 | NIv2 | task580_socialiqa_answer_generation | fs_opt | [
0.6002418994903564,
0.20249849557876587,
-0.09552600979804993,
0.1529439389705658,
-0.24338902533054352,
-0.5878552198410034,
0.24867047369480133,
-0.2685660719871521,
-0.11363624036312103,
0.34697580337524414,
-0.6776283383369446,
0.2773683965206146,
0.2175375521183014,
-0.531337559223175... |
You are given a statement written in Tamil. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Let me give you an example: Statement: எம்.சி.பி வங்கி, 2008 இல், மலேசியாவின் மலாய் வங்கி நிறுவனத்துடன் ஒரு கூட்டண... | இலங்கை | 8 | NIv2 | task953_wiki_cloze_ta_multiple_choice_question_answering | fs_opt | [
0.9812970757484436,
0.5528107285499573,
-0.1626289039850235,
0.1316825896501541,
0.07328325510025024,
-0.33654534816741943,
0.07772049307823181,
0.10371695458889008,
0.3156759738922119,
0.09613576531410217,
0.11327556520700455,
0.35760995745658875,
-0.2500293552875519,
-0.4526255130767822,... |
Teacher:In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
Teacher: Now, understand the problem? Solve this instance: One ... | 3 | 6 | NIv2 | task588_amazonfood_rating_classification | zs_opt | [
0.08762607723474503,
-0.2455308884382248,
-0.470267117023468,
-0.07546329498291016,
0.36442744731903076,
-0.48946571350097656,
0.7154073715209961,
1.1140520572662354,
-0.5198914408683777,
-0.28417932987213135,
0.5024745464324951,
0.10733795911073685,
-0.38777294754981995,
-0.11092080920934... |
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: religious or non-political religious on the top... | non-religious | 0 | NIv2 | task1492_bengali_religious_hate_speech_binary_classification | zs_opt | [
-0.7131631374359131,
-0.03539315611124039,
0.36746424436569214,
0.40460729598999023,
-0.39588505029678345,
-0.2603728175163269,
0.09430950880050659,
0.42203813791275024,
-0.08621427416801453,
0.017176128923892975,
-0.5683160424232483,
-0.29139453172683716,
-0.11018193513154984,
-0.40322005... |
Given the task definition and input, reply with output. Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
民主党は尋問方法の交付についてのブッシュ政権の秘密主義に対する不満を表明した。
| Ang mga taong makademokrasya ay nagpahayag ng pagkabigo sa pagiging lihim ng pangasiwaan ni Bush sa usaping mga taktika ng pagtatanong. | 5 | NIv2 | task1118_alt_ja_fil_translation | zs_opt | [
-0.40179961919784546,
-0.06737063825130463,
-0.07467900216579437,
-0.4121450185775757,
-0.2302628606557846,
0.0016572637250646949,
0.9032964706420898,
0.38603851199150085,
0.061310891062021255,
0.09346431493759155,
-0.8830655217170715,
0.2585005462169647,
-0.3623151183128357,
0.28959301114... |
Detailed Instructions: You are given a science question (hard-level) and four answer options (associated with "A", "B", "C", "D"). Your task is to find the correct answer based on scientific facts, knowledge, and reasoning. Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'. The... | A | 9 | NIv2 | task229_arc_answer_generation_hard | zs_opt | [
0.8328059911727905,
1.0448706150054932,
-0.56313157081604,
-1.0932221412658691,
-0.5462453365325928,
-0.7449982166290283,
0.5422508716583252,
0.15500003099441528,
0.2316252887248993,
-0.20735067129135132,
-0.29400384426116943,
-0.10361824929714203,
-0.1687263697385788,
-0.07432499527931213... |
You will be given a definition of a task first, then some input of the task.
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. If the conversation begins with a question, label it '1' otherwise '0'.
Person1: Professor Wang looks so handsome... | 0 | 1 | NIv2 | task1534_daily_dialog_question_classification | zs_opt | [
-0.2793940007686615,
-0.1654597818851471,
-0.3023892641067505,
0.14393506944179535,
0.1076878011226654,
0.05276184901595116,
0.3385595977306366,
0.7846397161483765,
-0.14703091979026794,
0.6030641794204712,
-0.8246392011642456,
-0.7104339599609375,
0.22131229937076569,
0.18861374258995056,... |
Instructions: In this task, you are given a text of the article. Your task is to generate a headline (title) for this article.
Input: for five years , the supreme patriarch of cambodian buddhism has been marching for peace in a vain effort to save thousands of young men from marching to war .
Output: | UNK mixed ; gold down | 3 | NIv2 | task288_gigaword_summarization | zs_opt | [
0.6510214805603027,
0.0024669284466654062,
-0.9867398738861084,
-0.3116670250892639,
-0.5290545225143433,
-1.0262210369110107,
0.42563343048095703,
0.3279044032096863,
-0.3582790791988373,
0.431034654378891,
-0.6529139280319214,
0.4817172586917877,
-0.4626075029373169,
0.15071038901805878,... |
Classify given movie review into two categories: positive, or negative based on its content.
Q: it isn't that the picture is unfamiliar , but that it manages to find new avenues of discourse on old problems .
A: | positive | 4 | NIv2 | task888_reviews_classification | zs_opt | [
-0.5409393310546875,
-0.0014656183775514364,
0.2403952032327652,
0.09633802622556686,
-0.02924618124961853,
-0.04052550345659256,
0.4314170479774475,
0.2628471255302429,
0.3464667499065399,
0.05543899163603783,
-0.22516517341136932,
-0.3013525605201721,
-0.26043182611465454,
0.625206708908... |
In this task, you need to output 'Yes' if the given number is a prime number otherwise output 'No'. A 'prime number' is a a whole number above 1 that can not be made by multiplying other whole numbers.
[Q]: 56021
[A]: No
[Q]: 13513
[A]: Yes
[Q]: 38273
[A]: | Yes
| 5 | NIv2 | task092_check_prime_classification | fs_opt | [
0.024428591132164,
0.38193655014038086,
0.1906176060438156,
-0.18065336346626282,
-0.38957375288009644,
-0.3666309118270874,
0.45426690578460693,
0.7783203125,
-0.10765321552753448,
0.17026269435882568,
-1.219872236251831,
-0.06821079552173615,
-0.5061918497085571,
-0.37988054752349854,
... |
A text is given in Gujarati. Translate it from the Gujarati language to the Urdu language. The translation must not omit or add information to the original sentence.
کابینہ نے ہریانہ کے گوروگرام میں بھارتی دفاعی یونیورسٹی کی زمین کے قریب بس بےکے قیام کی منظوری دی
આ યુનિવર્સીટી જયપુર તરફનાં રસ્તે દિલ્હી – જયપુર ધોરીમાર... | પ્રધાનમંત્રી શ્રી નરેન્દ્ર મોદીની અધ્યક્ષતામાં આયોજિત કેન્દ્રીય મંત્રીમંડળની બેઠકમાં દીનદયાળ અંત્યોદય યોજના – રાષ્ટ્રીય ગ્રામીણ આજીવિકા મિશન (ડીએવાય-એનઆરએલએમ) અંતર્ગત જમ્મુ-કાશ્મીર માટેનાં વિશેષ પેકેજનાં અમલીકરણ માટેની સમયમર્યાદા વર્ષ 2018-1 દરમિયાન વધુ એક વર્ષ માટે લંબાવવાની મંજૂરી આપી છે.
| 0 | NIv2 | task1002_pib_translation_urdu_gujarati | fs_opt | [
-0.23850247263908386,
0.28539443016052246,
0.2262333631515503,
-0.43795308470726013,
-0.42457759380340576,
-0.2944127023220062,
0.42576664686203003,
-0.25309988856315613,
0.2929825186729431,
-0.31250691413879395,
-0.44454941153526306,
-0.29656901955604553,
-0.23876434564590454,
0.079584859... |
Detailed Instructions: Given a sentence in the English language, translate it into the Nepali language.
Problem:Text: Physically paddy's life cycle is categorized in three parts, which will be discussed as follows:
Solution: | शारीरिक रूपमै धानको जीवन - चक्रलाई तीन खण्डमा विभाजित गरिएको छ, जसबारे निम्नअनुसार चर्चा गरिन्छ:
| 8 | NIv2 | task1514_flores_translation_entone | zs_opt | [
-0.3132006525993347,
0.4097994267940521,
-0.37551093101501465,
0.030209850519895554,
-0.3701578378677368,
-0.532660961151123,
0.6247274279594421,
0.11446643620729446,
-0.08363041281700134,
0.7783050537109375,
-0.8697700500488281,
0.2335188090801239,
-0.7572410106658936,
0.47328293323516846... |
Definition: This task is to translate the English language Input to Telugu Language Output
Input: Volkswagen Bagyurdu OSB'den Invitation Came!
Output: | వోక్స్వ్యాగన్ బాగ్యుర్డు OSB'den ఆహ్వానం వచ్చింది! | 2 | NIv2 | task1616_cc_alligned_translate_eng_tel | zs_opt | [
0.014108177274465561,
-0.01480867899954319,
0.06899099051952362,
0.3278549015522003,
0.3446177542209625,
-0.6573396921157837,
-0.19405607879161835,
-0.690345823764801,
0.7199797630310059,
0.13941198587417603,
0.2366277575492859,
-0.07954670488834381,
0.4631357491016388,
0.28816401958465576... |
Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You ... | No | 3 | NIv2 | task1205_atomic_classification_isafter | zs_opt | [
0.07984010130167007,
0.39295655488967896,
0.35715150833129883,
-0.02064666524529457,
-0.6480544805526733,
-0.7231988310813904,
1.217118263244629,
0.3280368447303772,
-0.4537533223628998,
-0.5220991969108582,
-0.40435948967933655,
-0.4976099729537964,
-0.628509521484375,
0.32290634512901306... |
Teacher: In this task, you're given a context passage. Your job is to generate relevant questions that can be answered by directly referring to the passage.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Tracy slept awkwardly on their new bed and was having some pain, so Tra... | Why did Kai do this? | 2 | NIv2 | task596_mocha_question_generation | fs_opt | [
0.22873219847679138,
-0.1817866861820221,
-0.04882337152957916,
0.15770694613456726,
0.01684539206326008,
-0.6581336259841919,
0.4917031526565552,
-0.08497177809476852,
-0.2592100501060486,
0.47565531730651855,
-0.35509976744651794,
-0.41138073801994324,
-0.3659828007221222,
0.281363785266... |
You will be given a definition of a task first, then some input of the task.
This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words.
tomorrow we collect . just talked to leo .
Output: | we 'll pick it up tomorrow . i talked to lee . | 1 | NIv2 | task177_para-nmt_paraphrasing | zs_opt | [
-0.19607630372047424,
0.9015509486198425,
-0.18932589888572693,
0.06289849430322647,
-0.5042075514793396,
-0.19312795996665955,
0.38822710514068604,
-0.08787815272808075,
-0.2506732940673828,
-0.07248859107494354,
-0.4354657828807831,
-0.1983957588672638,
-0.04399873688817024,
0.5206769108... |
This task is about translating a given French language sentence to English.
Je ne sais pas.
I don't know.
Elle utilise des champs électriques de basse intensité pour combattre le cancer.
And they use low-intensity electric fields to fight cancer.
Nous ne devrions pas traiter les autres nations comme nous n'aimerions... | We should not treat other nations as we would not wish to be treated ourselves.
| 0 | NIv2 | task1690_qed_amara_translation | fs_opt | [
-0.6874359250068665,
1.1091859340667725,
0.036375101655721664,
-0.26956647634506226,
-0.01803947240114212,
-1.2165812253952026,
0.9840930700302124,
0.3015359044075012,
0.1146305650472641,
0.06795252859592438,
-0.4010179042816162,
0.07070641219615936,
-0.2794991731643677,
-0.143919855356216... |
A text is given in Hindi. Translate it from the Hindi language to the Panjabi language. The translation must not omit or add information to the original sentence.
Ex Input:
श्रम कोड : श्रम पर दूसरे राष्ट्रीय आयोग की सिफारिशों की तर्ज पर मंत्रालय ने वर्तमान केन्द्रीय श्रम कानूनों के महत्वपूर्ण प्रावधानों को मिलाकर, सरल... | ਉਨ੍ਹਾਂ ਕਿਹਾ ਕਿ ਜਦੋਂ ਕੋਈ ਪੁਨਰਉੱਥਾਨ ਦੀ ਗੱਲ ਸੋਚਦਾ ਹੈ ਤਾਂ ਪਹਿਲਾ ਅਕਸ ਜੋ ਉਸ ਦੇ ਦਿਮਾਗ ਵਿੱਚ ਆਉਂਦਾ ਹੈ, ਉਹ ਸੁਆਮੀ ਵਿਵੇਕਾਨੰਦ ਦਾ ਹੁੰਦਾ ਹੈ, ਜਿਨ੍ਹਾਂ ਨੇ ਵਿਸ਼ਵ ਸਾਹਮਣੇ ਭਾਰਤੀ ਸੋਚ ਦੀ ਤਾਕਤ ਨੂੰ ਪ੍ਰਦਰਸ਼ਿਤ ਕੀਤਾ।
| 1 | NIv2 | task1011_pib_translation_hindi_punjabi | fs_opt | [
-0.2947130501270294,
-0.23882025480270386,
-0.12947487831115723,
0.010760128498077393,
0.15899533033370972,
0.07403984665870667,
0.4328548312187195,
0.5192070603370667,
-0.08889073133468628,
0.590114176273346,
-0.552808403968811,
-0.13858504593372345,
0.21725258231163025,
-0.20637959241867... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Example input: Terán seguro para pagar a receita?
Example output: 処方箋を支払う為の保険は ？
Example explanation: The Galician sentence is correctly translated into Japanese, because the meaning is preserved.
Q: Tomou o óso e botou... | この骨を取り出し酸につけ込みました | 3 | NIv2 | task1239_ted_translation_gl_ja | fs_opt | [
-0.3464182913303375,
0.6858153343200684,
-0.003116768319159746,
-0.7042008638381958,
0.02426741272211075,
-1.1370584964752197,
1.2432222366333008,
0.07215997576713562,
-0.07311122864484787,
-0.4332548677921295,
-0.24976353347301483,
0.08140656352043152,
-0.7914443016052246,
0.2694123387336... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into English.
Q: Questo è "" G.I.R. "" dal Texas, "" R.I.K. "" - non so perché abbiano questo nome a tre lettere - da Los Angeles.
A: | This is "" G.I.R. "" from Texas, "" R.I.K. "" I don't know why it's these three-letter names today, Los Angeles. | 9 | NIv2 | task1247_ted_translation_it_en | zs_opt | [
-0.8166168332099915,
0.6906598806381226,
0.5214005708694458,
-0.6969935894012451,
-0.036419227719306946,
-1.2290676832199097,
0.3990146815776825,
0.21852099895477295,
-0.10839162766933441,
-0.614824652671814,
-0.05172893777489662,
0.24817314743995667,
-0.6344424486160278,
-0.62016028165817... |
Given a category and a set of five words, find the word from the set that does not belong (i.e. is the least relevant) with the other words in the category. Words are separated by commas.
Q: Category: secretary duty
Words: schedule, file, errands, text, correspondence
A: | text | 4 | NIv2 | task141_odd-man-out_classification_category | zs_opt | [
-0.30212825536727905,
0.737307608127594,
0.2724701762199402,
-0.4714246690273285,
0.488491415977478,
0.08630748093128204,
-0.4321732521057129,
0.08214813470840454,
0.8409903049468994,
-0.3984227776527405,
0.33563244342803955,
-0.17145881056785583,
-0.6165618896484375,
0.4338985085487366,
... |
Teacher:You are given a background paragraph that describes one or more causal or qualitative relationships such as a relationship in economics or a scientific law and a story that makes use of the concepts or the relationship described in the provided paragraph. You are also given a question about the story that requi... | Miami. | 6 | NIv2 | task061_ropes_answer_generation | zs_opt | [
-0.027360908687114716,
0.23987774550914764,
-0.047466471791267395,
-0.9298291802406311,
-0.43906572461128235,
-0.14170493185520172,
0.08461925387382507,
0.8213498592376709,
0.16318023204803467,
0.09030555188655853,
-0.8994748592376709,
-0.008780848234891891,
-0.8324987888336182,
0.09401668... |
In this task, you are given a sentence in English, and your task is to translate it into Persian.
Ex Input:
feeling hollowed out, utterly empty within.
Ex Output:
احساس میکرد خالی شده است، درونش به تمامی تخلیه شده است.
Ex Input:
but I think she might do it now, and I guess she will, if you try her at the right min... | اما درعینحال مراقب بود مداومت و پایداری و دلمشغولی و صمیمت و گرمایی پیش نیاید که توجه همگان را جلبکند.
| 1 | NIv2 | task661_mizan_en_fa_translation | fs_opt | [
-0.5641669034957886,
0.15214243531227112,
0.02374660037457943,
-0.4183041453361511,
0.22893840074539185,
-0.5626120567321777,
0.25346094369888306,
0.333896279335022,
0.2750926911830902,
-0.22796428203582764,
-0.5353763103485107,
0.23515024781227112,
0.0861152857542038,
-0.3032696843147278,... |
You are given an original reference as well as a system generated reference. Your task is to judge the naturaleness of the system generated reference. If the utterance could have been produced by a native speaker output 1, else output 0.
[Q]: System Reference: x is a restaurant in x with a moderately priced menu that ... | 0
| 5 | NIv2 | task1186_nne_hrngo_classification | fs_opt | [
-0.5392195582389832,
1.0939620733261108,
-0.4819551408290863,
-0.24309894442558289,
-0.8441616296768188,
-0.12507987022399902,
0.7491549253463745,
0.6679704785346985,
0.12490933388471603,
-0.5190281271934509,
-0.27064669132232666,
0.06666707992553711,
-0.8278242349624634,
-0.18501819670200... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that contradict each other. Your job is to alter sentence 2 so that the pair agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the... | A man is pushing a gurney with boxes outside.
| 5 | NIv2 | task186_snli_contradiction_to_entailment_text_modification | fs_opt | [
0.1774001568555832,
0.9329915642738342,
-0.22513613104820251,
-0.6429777145385742,
-0.3487475514411926,
0.2913147509098053,
0.33011162281036377,
0.5518954992294312,
0.5580339431762695,
-0.4756929874420166,
-0.8428179621696472,
0.17102770507335663,
-0.24242115020751953,
-0.3368037939071655,... |
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'... | time
| 1 | NIv2 | task900_freebase_qa_category_classification | fs_opt | [
0.459447979927063,
0.38519859313964844,
-0.3744754195213318,
-0.3715939521789551,
0.6148057579994202,
-0.3952544629573822,
0.33231067657470703,
0.7460536956787109,
0.04962991550564766,
0.10872437059879303,
0.2636711597442627,
0.22725573182106018,
-0.762200117111206,
-0.4560105502605438,
... |
Detailed Instructions: In this task, you will be presented with a question in Dutch language, and you have to write the location names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Identifier used for the location name - LOC. . There can be instances with no location ... | None | 9 | NIv2 | task1546_conll2002_location_name_extraction_answer_generation | zs_opt | [
-0.18105769157409668,
0.6049920320510864,
0.3017861545085907,
-0.4550004303455353,
-0.2056082934141159,
-0.3831874132156372,
0.6973691582679749,
0.06454828381538391,
0.5468020439147949,
-0.2815243899822235,
-0.19056108593940735,
0.4885607361793518,
-0.3976705074310303,
0.09316181391477585,... |
Definition: In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
Input: Context: The jury ruled against Lee, making Lee's son upset. Alex gave Lee's son a hug.
Answer: miss their son
Outp... | What will happen to Lee? | 2 | NIv2 | task581_socialiqa_question_generation | zs_opt | [
-0.8315411806106567,
0.6212118864059448,
0.001793575007468462,
-0.7904504537582397,
-0.3482804596424103,
0.02361377701163292,
-0.11841699481010437,
0.1030651181936264,
0.608314037322998,
-0.26275962591171265,
-0.45980581641197205,
0.4244388937950134,
-0.6654495000839233,
0.664193868637085,... |
Here are two questions (Question1 and Question2). If these questions have the same meaning and same answer, answer "Yes", otherwise "No".
[EX Q]: Question1: What is pipeline?, Question2: What is vxf pipeline?
[EX A]: No
[EX Q]: Question1: How much do YouTubers make when each of their videos get 50k, 100k, 500k, 1m, a... | No
| 6 | NIv2 | task1287_glue_qqp_paraphrasing | fs_opt | [
-0.44696786999702454,
-0.20103803277015686,
-0.1860594004392624,
0.6608302593231201,
-0.12611916661262512,
-0.030054882168769836,
0.19427499175071716,
0.6577363014221191,
-0.0930522084236145,
-0.016342688351869583,
-0.06552200019359589,
-0.6052244305610657,
-0.18629884719848633,
-0.6729109... |
You are given a sentence in English. Your job is to translate the English sentence into Arabic.
Ex Input:
Therefore, we must invest in developing leaders, leaders that have the skills, vision and determination to make peace.
Ex Output:
لذلك.. علينا ان نستثمر بتطوير القادة المحلين وان نجعلهم يمتلكون المهارة والرؤية وا... | اتصلت أمي و قالت انها ستأتي ايضا.
| 1 | NIv2 | task1220_ted_translation_en_ar | fs_opt | [
-0.731955885887146,
0.0044951243326067924,
-0.37286046147346497,
-0.8109061121940613,
-0.39848315715789795,
-0.02987009286880493,
0.9898236393928528,
-0.09668556600809097,
0.33558157086372375,
-0.18878468871116638,
-0.2665785551071167,
0.5957534313201904,
-0.7147654294967651,
-0.3822625279... |
In this task, you need to replace a letter in the sentence with another given letter.
Let me give you an example: Sentence: 'group of motorcycle motorists trying to merge into traffic'. Replace the letter 'o' with 'n' in the sentence.
The answer to this example can be: grnup nf mntnrcycle mntnrists trying tn merge int... | a bed with a piooow and oights on a corner | 8 | NIv2 | task160_replace_letter_in_a_sentence | fs_opt | [
-0.4217359721660614,
1.0874027013778687,
-0.4953445494174957,
-0.8953759074211121,
-0.11084017157554626,
-0.5149938464164734,
0.15795433521270752,
0.39521127939224243,
-0.06377580761909485,
-0.299096941947937,
-0.5718250274658203,
-0.21574611961841583,
-0.45629215240478516,
-0.434069842100... |
In this task, you're given a short article. Your job is to classify the article based on its category. Use the following classification labels, 0. World, 1. Sports, 2. Business, 3. Science or Technical. Label the text "0" if it contains information related to world. Label the text "1" if it contains information related... | 2
| 5 | NIv2 | task1541_agnews_classification | fs_opt | [
-0.1958507001399994,
0.2814187705516815,
0.0864163339138031,
0.5175989866256714,
0.34189850091934204,
-0.32855987548828125,
0.06290969252586365,
0.8607420921325684,
-0.08982031792402267,
0.3798333406448364,
-0.5236166715621948,
-0.05695803463459015,
-0.14766700565814972,
-0.178137451410293... |
Teacher: In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they app... | If there is a picture of a dog and a goat together. | 2 | NIv2 | task184_break_generate_question | fs_opt | [
0.7233644723892212,
-0.06293240934610367,
-0.6579703688621521,
0.3272930383682251,
0.25161609053611755,
-0.2650502026081085,
0.7634226083755493,
0.46286365389823914,
-0.48800861835479736,
0.5513912439346313,
-0.18463349342346191,
0.5236902236938477,
0.04605408012866974,
0.14350010454654694... |
Instructions: In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
Input: Immunosenescence influences many components of the immune system. Most importantly, profound changes ... | Effects of aging on T cell function | 3 | NIv2 | task1161_coda19_title_generation | zs_opt | [
-0.14392665028572083,
0.83757084608078,
-0.6952989101409912,
-0.6050511598587036,
-0.07400719821453094,
-0.870312511920929,
0.28382110595703125,
0.6746343374252319,
0.44394534826278687,
0.1357717216014862,
-0.37358444929122925,
0.06774083524942398,
-1.48911452293396,
0.25182613730430603,
... |
This task is about translating a given Spanish language sentence to English.
One example is below.
Q: Leeuwenhoek y Huygens... ...fueron abuelos de la medicina moderna:
A: Leeuwenhoek and Huygens... ...are the grandfathers of much of modern medicine.
Rationale: This is a good example because the Spanish sentence has be... | Of course, his sister first checked whether everything in the room was in order. | 9 | NIv2 | task1692_qed_amara_translation | fs_opt | [
-0.7360687255859375,
0.7866736650466919,
-0.15363270044326782,
-0.9508218765258789,
-0.33006083965301514,
-0.9798480868339539,
0.4500000476837158,
0.9777215719223022,
0.9712226390838623,
-0.6435059309005737,
-0.14660310745239258,
1.0066338777542114,
-0.1849881112575531,
0.34613919258117676... |
Generate a question which can yield the answer mentioned in the input. Generated question must be answered by the answer provided in input, without using any extra knowledge.
Q: Context : Having suffered for at least a year, Mary Tighe endured a serious attack of tuberculosis in 1805.
Answer : tuberculosis
A: | What was Mary Tighe's medical condition near the end of his life? | 4 | NIv2 | task1326_qa_zre_question_generation_from_answer | zs_opt | [
0.7866902351379395,
0.5977299213409424,
-0.8916680216789246,
0.5052027106285095,
0.5010387897491455,
-1.998542070388794,
-0.18242178857326508,
0.9796737432479858,
0.9088841676712036,
0.159242182970047,
-0.7803860306739807,
0.374416321516037,
-0.4096980690956116,
0.058489516377449036,
-0.... |
In this task, you are given a question, and your task is to predict the context of the question. We assume that someone named X asked the question from Y. The context of the question means the previous situation that led X to ask this question.
Example: Do you want to see that movie?
Example solution: Y has just travel... | Solution: X wants to know what activities Y likes to do during weekends. | 5 | NIv2 | task567_circa_text_generation | fs_opt | [
-0.14388257265090942,
0.9284818768501282,
-0.30275866389274597,
0.19154778122901917,
0.5055263042449951,
0.1688975840806961,
0.5152262449264526,
0.35178056359291077,
0.08195933699607849,
-0.3466574549674988,
-0.5216575860977173,
-0.04589283838868141,
-0.8804497718811035,
0.5260007381439209... |
Teacher:You are given a sentence in Persian. Your job is to translate the Farsi sentence into Spanish.
Teacher: Now, understand the problem? Solve this instance: خانم ، آیا این النگوهای نارنجی با خالهای صورتی را دوست دارید ؟ خانم ، آیا این النگوهای نارنجی با خالهای صورتی را دوست دارید ؟
Student: | Señora, ¿le gustarían algunas de esas pulseras anaranjadas...... con pintitas rosadas? | 6 | NIv2 | task1267_ted_translation_fa_es | zs_opt | [
-0.5832390189170837,
0.6301489472389221,
-0.058993540704250336,
0.05847518518567085,
-0.5053633451461792,
-0.5079771280288696,
0.6748839616775513,
0.7458828687667847,
-0.31441640853881836,
-0.05695391446352005,
-0.40566641092300415,
0.24613070487976074,
-0.30523109436035156,
0.136850342154... |
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to... | Yes
| 7 | NIv2 | task1199_atomic_classification_xattr | fs_opt | [
0.607317328453064,
-0.5700056552886963,
0.2423313856124878,
-0.14010673761367798,
-0.03241278603672981,
-1.627598762512207,
1.260146141052246,
0.7013304829597473,
-1.3086647987365723,
-0.16050055623054504,
-0.44064438343048096,
-0.24871639907360077,
-0.6497156023979187,
0.43902483582496643... |
Given a real-life anecdote of a complex ethical situation, identify who is wrong here. Classify each post into the following categories : AUTHOR (if the author of the post is wrong in the situation), OTHER (if any of the others mentioned in the paragraph is wrong), EVERYBODY (if everyone mentioned is wrong) and NOBODY ... | AUTHOR
| 5 | NIv2 | task498_scruples_anecdotes_whoiswrong_classification | fs_opt | [
0.7452059388160706,
0.023052360862493515,
-0.41672655940055847,
0.03390979766845703,
0.2874927520751953,
-0.392547607421875,
0.8675518035888672,
1.171353816986084,
0.6428296566009521,
-0.025347808375954628,
0.24092355370521545,
0.7941464781761169,
-0.4270211458206177,
0.008277599699795246,... |
Given the task definition and input, reply with output. This task is about identifying the object of a given sentence. The object of a sentence is the person or thing that receives the action of the verb. It is the who or what that the subject does something to. Each sentence in this task is guaranteed to contain a sin... | 2.95 | 5 | NIv2 | task1413_dart_object_identification | zs_opt | [
-0.7283734083175659,
0.9072726964950562,
0.0941133201122284,
0.09555888175964355,
-0.3718203902244568,
0.2525821924209595,
0.606142520904541,
-0.25771015882492065,
0.4630883038043976,
-0.28620725870132446,
-0.9466559290885925,
-0.2166975736618042,
-0.0324760265648365,
0.5554801225662231,
... |
Given a sentence in the Sinhala language, translate it into the English language.
--------
Question: පොලිස් බලකාය සාමාන්යයෙන් රාජ්ය අංශයේ සේවාවක් වන අතර බදු හරහා අරමුදල් ලැබේ.
Answer: The Police force is usually a public sector service, funded through taxes.
Question: ඩැනුබ් බංකුවේ සපත්තු හන්ගේරියේ බුඩාපේස්ට් හ... | From crime and to act as a visible deterrent to urban crime and disorder.
| 7 | NIv2 | task601_flores_translation_sntoen | fs_opt | [
0.09958519786596298,
0.1321183443069458,
-0.16660141944885254,
-0.38050657510757446,
-0.2834157347679138,
-0.9633219242095947,
0.15705281496047974,
0.5807422399520874,
0.42937207221984863,
0.3646545112133026,
0.18516868352890015,
0.45877206325531006,
-0.35638007521629333,
0.092385306954383... |
In this task, you are given a sentence containing a particular emotion. You must classify the sentence into one of the six emotions: 'joy', 'love', 'anger', 'fear', or 'surprise'.
One example: i am ever feeling nostalgic about the fireplace i will know that it is still on the property
Solution is here: love
Explanation... | love | 6 | NIv2 | task875_emotion_classification | fs_opt | [
-0.477317750453949,
0.44515854120254517,
0.6047243475914001,
-0.3013787865638733,
0.05304288864135742,
-0.9953495264053345,
1.4756524562835693,
0.5420709848403931,
-0.11458630859851837,
-0.53117835521698,
-0.41430211067199707,
0.1451777219772339,
-1.0005615949630737,
0.06537069380283356,
... |
In this task, you are given an input list A. You need to find all the elements of the list that are alphabets in the same order as they appear in the list A. Do not change their case/capitalization.
Let me give you an example: ['238', 'h', '92', 'U', '2799']
The answer to this example can be: h, U
Here is why: Here, t... | o, l, m, a, F | 8 | NIv2 | task488_extract_all_alphabetical_elements_from_list_in_order | fs_opt | [
-0.5903682708740234,
0.6227338314056396,
-0.1075720340013504,
-0.6485694646835327,
-0.034692440181970596,
-0.4410206079483032,
0.5428478121757507,
-0.5580902099609375,
0.21071776747703552,
-0.03555941954255104,
-0.7542380094528198,
-0.26198476552963257,
0.2292599081993103,
-0.0695995390415... |
Detailed Instructions: This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words.
Q: that guy 's a gangsta ? i 'm a gangsta .
A: | is that a gangster ? | 9 | NIv2 | task177_para-nmt_paraphrasing | zs_opt | [
0.22837069630622864,
0.624146580696106,
-0.1144215390086174,
-0.4464767575263977,
-0.24199339747428894,
-0.897912859916687,
0.7364187240600586,
0.6170426607131958,
0.3330169916152954,
0.14421658217906952,
-1.080958604812622,
0.44509273767471313,
-0.9862167835235596,
-0.08690977096557617,
... |
Q: In this task, you're given a text and question. The question is about the topic of the document. You are expected to generate an incorrect answer. The incorrect answer should be among one of the following categories: 1)Company, 2)Educational Institution, 3)Artist, 4)Athlete, 5)Office holder, 6)Mean of transportation... | Village | 7 | NIv2 | task631_dbpedia_14_incorrect_answer_generation | zs_opt | [
-0.07097660005092621,
-0.20258668065071106,
0.6591770648956299,
0.3995257019996643,
-0.07042515277862549,
-0.3938484787940979,
-0.35809093713760376,
-0.12865377962589264,
-0.2315405160188675,
0.3358890414237976,
-0.29463934898376465,
0.6635884642601013,
-0.5110867023468018,
-0.264908760786... |
You will be given a definition of a task first, then some input of the task.
Given an Amazon review, indicate whether it is a 'Positive Review' or 'Negative Review'.
I used to always bottom out my Razer BlackWidow with MX Blues. I like the click and clack noises but I have a friend with the o rings and I really liked ... | Positive Review | 1 | NIv2 | task1343_amazon_us_reviews_rating | zs_opt | [
0.3763696551322937,
0.003914557863026857,
-1.1403323411941528,
0.2550607919692993,
0.9825358390808105,
-0.246169313788414,
1.1820158958435059,
0.8128073811531067,
-0.08180234581232071,
0.3656321167945862,
0.38902172446250916,
-0.46488505601882935,
-0.453063040971756,
-0.00726819084957242,
... |
Definition: In this task, positions of two consecutive words have been swapped. You need to output the position of the swaped words. e.g. in the sentence 'Seattle has nice a weather', the word 'a' and 'nice' have been swapped. These words are at 3rd and 4th position respectively. So, the output should be (3, 4). Note t... | (2, 3) | 2 | NIv2 | task089_swap_words_verification | zs_opt | [
-0.19593258202075958,
0.6020054221153259,
-0.45098111033439636,
-0.6371880769729614,
0.08824758976697922,
-0.26659780740737915,
0.4248533248901367,
0.23304790258407593,
0.3453484773635864,
-0.04010578617453575,
-0.24878627061843872,
-0.41899752616882324,
-0.046926774084568024,
0.0553971119... |
Definition: In this task, you're given an article, a question which often contains a blank and four options (associated with "A", "B", "C", "D"). Your task is to find the correct answer (from the given options) for the question from the given article and return one of the options from "A", "B", "C", and "D". Do not gen... | D | 2 | NIv2 | task309_race_answer_generation | zs_opt | [
0.2835628092288971,
-0.02912668138742447,
0.2732411026954651,
-0.10750110447406769,
0.3449198305606842,
0.2305593490600586,
1.0999946594238281,
0.8679913282394409,
-0.14755335450172424,
-0.03727295249700546,
-0.2199782282114029,
0.8876149654388428,
0.3537638783454895,
-0.1051924079656601,
... |
Teacher:In this task, you're given an article, a question which often contains a blank, four options (associated with "A", "B", "C", "D") and the answer to that question. Your task is to classify whether the given answer is correct or not by providing "Yes" or "No", based on the article.
Teacher: Now, understand the pr... | No | 6 | NIv2 | task310_race_classification | zs_opt | [
1.270186424255371,
0.1479724645614624,
-0.48344868421554565,
0.03568476438522339,
0.4275800585746765,
0.0036663198843598366,
0.8085864782333374,
0.9544614553451538,
-0.5914002656936646,
-0.5840384364128113,
0.03282281756401062,
0.19024696946144104,
-0.19530726969242096,
-0.6392345428466797... |
Q: You will be asked how to do a certain task. You should describe a physical process that does not lead to the asked outcome, yet it is closely related to it (i.e., it should use the words that are provided in the input). The physical process can be moving something, arranging something in a certain way, mixing things... | mix the dry noodles with the seasoning packet on a paper napkin. | 7 | NIv2 | task081_piqa_wrong_answer_generation | zs_opt | [
0.3866460919380188,
0.9867842793464661,
-0.20728850364685059,
0.23500478267669678,
-0.5528982877731323,
-0.39381474256515503,
0.3203344941139221,
0.36360031366348267,
0.11712837219238281,
0.06921088695526123,
0.10467163473367691,
0.2675517797470093,
-0.14864961802959442,
0.0312058515846729... |
In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story such that it seamlessly connects with the rest of the story.
Q: Title: Listen on repeat. Sentence 1: I love listening to specific songs. Sentence 2: I usually go on youtube to ... | I listen to songs on repeat to get myself through the day. | 4 | NIv2 | task216_rocstories_correct_answer_generation | zs_opt | [
-0.2478831708431244,
1.111053466796875,
-0.11198260635137558,
-0.32663264870643616,
0.16418975591659546,
0.24752625823020935,
1.2201356887817383,
0.3666020333766937,
-0.345024049282074,
0.0699741393327713,
-0.3422270715236664,
-0.5269321203231812,
-0.6054712533950806,
-0.20858632028102875,... |
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