inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equally likely to fill the blank. There should be an agreed upon answer to fill in ... | PersonX asked PersonY to clean the bathroom sink for her, because _ had forgotten to do it.
| 5 | NIv2 | task032_winogrande_question_generation_person | fs_opt | [
0.2939663529396057,
0.6750720143318176,
0.03208800405263901,
-0.06463800370693207,
-0.06936503201723099,
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0.7387489080429077,
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0.2519930899143219,
0.11460036039352417,
-0.5996778011322021,
0.25603964924812317... |
Teacher:Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. 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 classification of each word from the labels (reason) = [NO_... | ['NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', '... | 6 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | zs_opt | [
0.3630977272987366,
0.34840327501296997,
-0.2577421963214874,
0.025079451501369476,
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0.1515830159187317,
-0.3023013770580292,
-0.31889328360557556... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given an input list A comprising of numbers and alphabets. You need to extract and sort the unique alphabets in the list. The alphabets in the input list will only be in lowercase. Return -1 if there is no alphabet in the... | k, u | 1 | NIv2 | task636_extract_and_sort_unique_alphabets_in_a_list | zs_opt | [
-0.502979040145874,
0.42444589734077454,
-0.35219472646713257,
-0.0438314825296402,
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-0.4128091335296631,
0.17824557423591614,
-0.17644278705120087,... |
Definition: A text is given in Bengali. Translate it from the Bengali language to the Telugu language. The translation must not omit or add information to the original sentence.
Input: ఈ మూడు రంగాల లోను ఉమ్మడి ప్రయోజనాలను పొందేందుకు గాను భారతదేశం మరియు డెన్మార్క్ ల మధ్య సహకారాన్ని ప్రోత్సహించడం, అభివృద్ధి చ... | সমঝোতার মূল উদ্দেশ্য হল দুটি দেশের মধ্যে বিজ্ঞান, প্রযুক্তি ও উদ্ভাবনের বিভিন্ন ক্ষেত্রে সহযোগিতার বাতাবরণ গড়ে তোলা। | 2 | NIv2 | task1032_pib_translation_telugu_bengali | zs_opt | [
-0.3741165101528168,
0.7245398759841919,
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-0.26124075055122375,
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0.30371046066... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Hebrew.
Q: I suoi compiti chiave sono due.
A: | ויש שני דברים מרכזיים שהיא צריכה לעשות. | 9 | NIv2 | task1251_ted_translation_it_he | zs_opt | [
-0.4191156327724457,
0.34278810024261475,
-0.10339478403329849,
-0.24692752957344055,
-0.35461923480033875,
0.42543351650238037,
0.026621565222740173,
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-0.2674698233604431,
-0.06706927716732025,
-0.5431889891624451,
-0.8876171708106995,
0.353531718254089... |
In this task, you are given one English sentence. The major part of the sentences talk about health-related topics, but some of the them describe an organization and its activities. Your job is to translate the given sentences into Swedish.
Q: We can offer the opportunity of being an important part of a fast growing Eu... | Vi erbjuder våra anställda möjligheten att vara en viktig del i ett snabbt växande EU-organ. | 4 | NIv2 | task1395_europa_ecdc_tm_en_sv_translation | zs_opt | [
0.14793531596660614,
1.2112993001937866,
0.3232865631580353,
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0.34974586963653564,
0.3136900067329407,
-0.6531965732574463,
0.029284821823239326,
... |
In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
Q: BErUlxsfsCZsoUyCXERc, KxfsCZsoUyCXPbuGGgdVU
A: b, c, d, f, g, k, o, p, s, u, v, x, y, z
****
Q: HZOAWycLEpA, cfwiAWyctY
A: ... | e, f, g, j, k, l, m, n, p, t, u, w, x, z
****
| 4 | NIv2 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | fs_opt | [
-0.3037906587123871,
1.2245383262634277,
-0.12737637758255005,
-0.5729681253433228,
0.35641342401504517,
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0.9686250686645508,
0.07962900400161743,
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-0.10672850906848907,
0.06070123612880707,
-0.229920104146... |
Teacher:Given a statement about date and time, state whether the statement is true or false. The number of date/time operands in the statement ranges between 2 and 3. Let's say the values are denoted by t1, t2 and t3. The statements follow one of the following ten templates: 't1 occurs before t2, t1 doesn't occur befor... | True | 6 | NIv2 | task1507_boolean_temporal_reasoning | zs_opt | [
0.2027834802865982,
0.06862424314022064,
-0.4893829822540283,
0.441956102848053,
-0.3849523067474365,
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0.9778534770011902,
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-0.2222193330526352,
-0.5778796672821045,
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-0.16651219129562378,
-0.45188307762145... |
Detailed 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 ev... | Yes | 8 | NIv2 | task1213_atomic_classification_desires | zs_opt | [
-0.0172728281468153,
0.30663540959358215,
0.19111768901348114,
-0.590141236782074,
-0.29096823930740356,
-0.8055230975151062,
0.9828258752822876,
0.11876368522644043,
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-0.27265453338623047,
0.2293282300233841,
-0.48846691846847534,
-0.31927967071533203,
0.07064665108919... |
instruction:
In this task, you are given an impractical statement. You are also given three reasons (associated with "A", "B", "C") explaining why this statement doesn't make sense. You must choose the most corresponding reason explaining why this statement doesn't make sense.
question:
He rakes leaves in his backyard ... | A
| 9 | NIv2 | task295_semeval_2020_task4_commonsense_reasoning | fs_opt | [
-0.020271770656108856,
0.3643568754196167,
-0.9152581691741943,
-0.5578071475028992,
-0.551263689994812,
-1.4068872928619385,
0.3186553120613098,
0.37933671474456787,
-0.3887825310230255,
-0.25940924882888794,
-0.36191326379776,
0.4885266125202179,
-0.784408450126648,
0.18413038551807404,
... |
Given the task definition and input, reply with output. In this task, you are given a sentence in Persian, and your task is to translate it into English.
دوشنبه صبحها تنها کاري که ميکردم اين بود که به هفته آينده فکر کنم .
| monday mornings , i just thought about next week . | 5 | NIv2 | task659_tep_fa_en_translation | zs_opt | [
-1.3389477729797363,
0.9760510325431824,
0.21028344333171844,
-0.10950200259685516,
-0.9259614944458008,
0.37590405344963074,
0.5245380997657776,
0.2924586534500122,
0.46473535895347595,
-0.42926108837127686,
-0.6051568388938904,
0.6113580465316772,
-0.5007345676422119,
0.30421823263168335... |
Instructions: We would like you to assess the QUALITY of each of the following argument (discussing Gun Control) and determine if the argument is Valid or Invalid. A valid argument is clearly interpretable and either expresses an argument, or a premise or a conclusion that can be used in an argument for the topic of gu... | Valid | 3 | NIv2 | task150_afs_argument_quality_gun_control | zs_opt | [
-0.015689508989453316,
0.805777370929718,
0.4939154088497162,
-0.5595428943634033,
-0.4841119647026062,
-1.885114312171936,
0.47768434882164,
0.30153876543045044,
0.43636441230773926,
0.09957525134086609,
-0.8620247840881348,
-0.6803282499313354,
-0.4592819809913635,
0.17595651745796204,
... |
Definition: This task is about translating a given English language sentence to Spanish.
Input: Well, that's a pretty good lesson for anybody, no matter what you choose to do in your life.
Output: | Bueno, eso es una muy buena lección a nadie, no importa lo que optar por hacer en su vida. | 2 | NIv2 | task1691_qed_amara_translation | zs_opt | [
-0.1629103273153305,
0.3675748407840729,
0.020776573568582535,
-0.26169779896736145,
-0.3716801404953003,
-0.9970458745956421,
0.636983335018158,
0.36388325691223145,
0.537039577960968,
-0.4735473692417145,
-0.4275973439216614,
0.02660181373357773,
-0.18164393305778503,
-0.0244063660502433... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
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 v... | Positive | 0 | NIv2 | task421_persent_sentence_sentiment_classification | fs_opt | [
-0.22911611199378967,
0.18818733096122742,
0.17931805551052094,
0.4663621187210083,
0.5122814774513245,
-0.4182303547859192,
0.5987734794616699,
0.322433739900589,
0.12046445161104202,
-0.022887464612722397,
-0.36838531494140625,
0.39473286271095276,
-0.293911874294281,
-0.2229948043823242... |
Teacher: You are given a sentence in Galician. Your job is to translate the Galician sentence into Italian.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Isto inclúe un sistema en árabe chamado al-jebra.
Solution: Tra di esse, si annovera il piccolo sistema in arabo detto a... | Voglio raccontarvi della mia amica che insegnava inglese agli adulti a Abu Dhabi. | 2 | NIv2 | task1243_ted_translation_gl_it | fs_opt | [
-0.4146343469619751,
0.920846700668335,
-0.2397061586380005,
-0.20086751878261566,
-0.4218902587890625,
-0.9107041358947754,
0.6515278816223145,
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-1.0549404621124268,
0.16957660019397736,
0.04726759344339371,
-0.05704020336270332,
-0.825838565826416,
0.22153009474277496,... |
Detailed Instructions: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: identity-attack and non-identity-attack. Identity attack refers to anything rude or disrespectful about someone's identity, including appearance, race, gender, and sexual... | Identity-attack | 9 | NIv2 | task325_jigsaw_classification_identity_attack | zs_opt | [
-0.46945732831954956,
0.14622390270233154,
0.40030747652053833,
0.4145481586456299,
-0.19196505844593048,
0.14404922723770142,
0.5933402180671692,
0.3227824866771698,
0.5528496503829956,
0.5785868167877197,
0.3063870072364807,
-0.04103463143110275,
-0.3358016908168793,
-0.5747253894805908,... |
Detailed Instructions: In this task, you are given a sentence in the English language and your task is to convert it into the Swedish language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Problem:Anyone, therefore, who invites Franz Fischle... | Var och en som därför bjuder in Franz Fischler till sitt hem för att av någon anledning förklara det faktum att han är av österrikisk nationalitet bör granska sina egna motiv i samband med en debatt som nödvändigtvis har skymts av hänvisningar till främlingsfientlighet och även mer farlig ondska i denna värld. | 8 | NIv2 | task313_europarl_en_sv_translation | zs_opt | [
-0.05655577778816223,
0.1751784086227417,
0.06090434640645981,
-0.42400234937667847,
0.05405781418085098,
0.14970070123672485,
1.3829333782196045,
-0.09864184260368347,
0.26196420192718506,
0.41381633281707764,
-0.24619947373867035,
0.9684797525405884,
-1.2304843664169312,
-0.7366086840629... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
See one example below:
Problem: 処方箋を支払う為の保険は ？
Solution: Terán seguro para pagar a receita?
Explanation: The Japanese sentence is correctly translated into Galician, because the meaning is preserve... | As novas tecnoloxías estannos axudando a entender a natureza da natureza, a natureza do que está a suceder. Mostrándonos a nosa pegada na Terra. | 4 | NIv2 | task1095_ted_translation_ja_gl | fs_opt | [
-0.3668433725833893,
0.8732917308807373,
0.2731095254421234,
-0.9468168020248413,
-0.16157732903957367,
-1.1703611612319946,
0.38322147727012634,
1.059539556503296,
0.1304863691329956,
-0.01572313904762268,
-0.4432303309440613,
0.450958251953125,
-1.0574634075164795,
0.2925686538219452,
... |
Detailed Instructions: In this task, you're given a review from Amazon. 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, 4: good, 5: extremely good.
Q: Almost half of these had opened so I spent an hour before service disti... | 1 | 9 | NIv2 | task1310_amazonreview_rating_classification | zs_opt | [
-0.00002070167101919651,
-0.4661233127117157,
-0.014717066660523415,
0.21712511777877808,
0.30225154757499695,
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0.5494296550750732,
0.36336901783943176,
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0.6754084825515747,
-0.47553014755249023,
0.10901256650686264,
-0.4095149040222168,
-0.20382635... |
Detailed Instructions: 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.
Q: ニューヨーク・タイムズの記事の匿名の情報源によると、機密文書2005年度法的見解は「これまでに中央情報局によって用いられた最も辛辣な尋問技術の拡大的裏書」という内容を含んでおり、頭の殴打、非常な低温、およびウォーターボーディングと呼ばれる水... | Ayon sa walang pangalang mga pinanggalingan, binanggit sa The New York Times na artikulo, ang bukud-bukod na 2005 opiniyong panglegal kasama "ang malawak na pagpapakilala sa pinakamabagsik na mga paraan ng pagsisiyasat na ginamit ng Central Intelligence Agency," at maliwanag na pinahintulutan ang paggamit ng mga taktik... | 9 | NIv2 | task1118_alt_ja_fil_translation | zs_opt | [
0.33274370431900024,
0.34725701808929443,
-0.2684937119483948,
-0.13598160445690155,
-0.0604034885764122,
-1.0901081562042236,
0.28218990564346313,
-0.07165809720754623,
-0.16954392194747925,
0.23544393479824066,
-0.3196422755718231,
-0.15970386564731598,
-1.0175926685333252,
0.43984311819... |
Definition: Given a pair of words, generate the relation between them. The first word is called the 'concept' and the second word is called the 'relatum' The relation must be one of the following: co-hyponym (coordinate), hypernym, meronym, attribute, event, or random. A coordinate relation indicates that the concept a... | attri | 2 | NIv2 | task1418_bless_semantic_relation_classification | zs_opt | [
0.20295555889606476,
0.14809772372245789,
0.548879861831665,
-0.2695864140987396,
-0.25522932410240173,
-0.22379635274410248,
0.4291945695877075,
0.26463583111763,
0.4222392141819,
-0.8457459211349487,
-0.816757321357727,
0.1426636427640915,
-0.6784694790840149,
0.1394466608762741,
0.886... |
Detailed Instructions: This task is about translating a given Spanish language sentence to English.
See one example below:
Problem: Leeuwenhoek y Huygens... ...fueron abuelos de la medicina moderna:
Solution: Leeuwenhoek and Huygens... ...are the grandfathers of much of modern medicine.
Explanation: This is a good exam... | It's 1.76 kilohertz. | 4 | NIv2 | task1692_qed_amara_translation | fs_opt | [
-0.7025551795959473,
0.9956076145172119,
-0.15293286740779877,
-0.919712245464325,
-0.3450605869293213,
-1.166593313217163,
0.5732632875442505,
0.9220057725906372,
0.6348284482955933,
-0.7575230002403259,
-0.36880072951316833,
0.9210355877876282,
-0.16540199518203735,
0.5280309915542603,
... |
Teacher:You will be given a sentence that describes a restaurant. You will also be given a few categories of information regarding that sentence. Your task is to fill each of the categories with the appropriate information from the sentenece.
Teacher: Now, understand the problem? Solve this instance: Sentence: xname is... | eattype[pub], rating[5 out of 5], familyFriendly[yes] | 6 | NIv2 | task1597_nyc_slot_filling | zs_opt | [
-0.6677119135856628,
0.6136078238487244,
-0.3829837143421173,
-0.4212116301059723,
-0.36043357849121094,
0.019428761675953865,
0.8694067597389221,
0.8320377469062805,
0.6752016544342041,
-0.3477976322174072,
0.47154974937438965,
-0.3707873821258545,
-0.8411512970924377,
-0.3863251805305481... |
instruction:
Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
question:
Topic: Crime cameras
Argument: Crime cameras often have no one watching due to limited resources.
answer:
against
question:
Top... | against
| 9 | NIv2 | task209_stancedetection_classification | fs_opt | [
-0.3966466784477234,
-0.25434237718582153,
0.10678622126579285,
-0.5027855634689331,
0.08590482920408249,
-1.0765039920806885,
0.3133201599121094,
0.7480942606925964,
0.6567956209182739,
0.2271638810634613,
-0.42838558554649353,
0.22205844521522522,
-0.39152419567108154,
-0.616797804832458... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
E o primeiro, e vou dicir unha herexía aquí, ningún deles fai exercicio, cando menos na forma en que nós concibimos o exercicio.
まず最初はこれには異論をつぶやきたいのですが誰も運動を、つまり我々が考えるような運動をしていません
Imprimín máis de 3000 postais coa miña ... | 何週間後かに記事を目にします「ところでその4分の1が死んでしまった」と
| 0 | NIv2 | task1239_ted_translation_gl_ja | fs_opt | [
-1.0790491104125977,
0.6884981393814087,
0.006765011698007584,
-0.682584285736084,
-0.0873052254319191,
-0.1287238895893097,
0.9449335336685181,
0.08522266894578934,
0.06426230072975159,
-1.2600176334381104,
-0.9597921371459961,
-0.36712151765823364,
-0.3286186456680298,
0.1742681562900543... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
Example: EM: Owszem. Ważne jest by rakieta mogła wrócić do lądowiska i wystartować ponownie w ciągu kilku minut.
Output: ایلان: درسته. این مهمه که بخش... | آنها ممکن است در مورد رژیم غذایی ساحل جنوبی یا رژیم غدایی اتکینز شنیده باشند | 1 | NIv2 | task1263_ted_translation_pl_fa | fs_opt | [
-0.49086880683898926,
0.6148170828819275,
0.48638904094696045,
-0.14445307850837708,
-0.7511980533599854,
0.7100560665130615,
1.2480740547180176,
0.4463120102882385,
-0.04794410243630409,
-0.6089189052581787,
-0.5098922252655029,
0.6977194547653198,
-0.7874658703804016,
0.25967949628829956... |
This task is about translating a given English language sentence to Spanish.
--------
Question: Well there are 3 things that we need to remember going forward to help our children, because they're in trouble.
Answer: Hay 3 cosas que necesitamos recordar para ayudar a nuestros niños, porque están en peligro.
Question... | tio!
| 7 | NIv2 | task1691_qed_amara_translation | fs_opt | [
-0.3310941457748413,
0.6568124294281006,
-0.7628912925720215,
-0.44155919551849365,
-0.6138266921043396,
-1.1654033660888672,
1.3711490631103516,
1.0813099145889282,
0.0766778439283371,
-0.44082409143447876,
-0.3611208200454712,
1.0439563989639282,
-0.7324872016906738,
-0.2089844048023224,... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.
結局彼女たちはそんな制約を当然だと受け入れて成長したのです | Después de todo, ellas han crecido aceptando tales restricciones como normas. | 0 | NIv2 | task1223_ted_translation_ja_es | zs_opt | [
-0.5259809494018555,
0.6724498867988586,
-0.23699143528938293,
-0.29000145196914673,
-0.6393083930015564,
-0.12128091603517532,
0.04642334207892418,
0.7312763929367065,
1.0019378662109375,
-0.7859678268432617,
-0.31988513469696045,
-0.02477899380028248,
-1.0459215641021729,
0.3756139874458... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Galician.
به جای آن, زندگی خود را برپا می کنند آنها به صورت مداوم به سمت یک فعالیت فیزیکی می روند
Output: | En vez diso, organizan as súas vidas de xeito que sexa necesario realizar actividade física. | 1 | NIv2 | task1270_ted_translation_fa_gl | zs_opt | [
-0.5571503043174744,
1.0234332084655762,
-0.2667897343635559,
-0.19262349605560303,
-0.6046675443649292,
0.13100849092006683,
0.5811823606491089,
0.39132797718048096,
0.3159704804420471,
-0.09465096890926361,
-0.6359239816665649,
-0.014326616190373898,
-0.5936760306358337,
0.10568791627883... |
TASK DEFINITION: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
PROBLEM: My kids recently started watching the reruns of this show - both the early episodes on the N, and the later ones on ABC Family - an... | negative
| 8 | NIv2 | task284_imdb_classification | fs_opt | [
0.3803645372390747,
0.08624996244907379,
-0.5207772850990295,
-0.42412567138671875,
0.34776151180267334,
-0.2748013734817505,
1.5762965679168701,
1.0338127613067627,
0.06085433438420296,
-0.016861967742443085,
0.3779597878456116,
0.11498770117759705,
-0.604474663734436,
-0.0863732025027275... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: ['e', 'p', 'g', '7775', '1505', 'a', '4823']
Student: | e, p, g, a | 6 | NIv2 | task488_extract_all_alphabetical_elements_from_list_in_order | zs_opt | [
-0.27602511644363403,
-0.11438873410224915,
0.3026566505432129,
-0.4185781478881836,
0.118299201130867,
-0.6772797107696533,
0.8369106650352478,
0.25332871079444885,
-0.33258315920829773,
0.40761473774909973,
-0.24599671363830566,
-0.42853373289108276,
-0.11788462102413177,
-0.690483093261... |
TASK DEFINITION: Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the ... | green_box
| 8 | NIv2 | task154_tomqa_find_location_hard_noise | fs_opt | [
0.542359471321106,
-0.4904056787490845,
-0.3516649007797241,
-0.41124504804611206,
-0.007839921861886978,
0.028910387307405472,
0.24954621493816376,
0.6658850908279419,
0.026054907590150833,
0.0944390594959259,
0.1385437250137329,
0.572233259677887,
-0.4302120804786682,
-0.0336416810750961... |
Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
One example is below.
Q: Tweet: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymized_account, Question: Does the ... | Yes | 9 | NIv2 | task839_cdt_classification | fs_opt | [
-1.318516492843628,
1.0977783203125,
0.6789906024932861,
0.5487780570983887,
-0.5534749031066895,
-1.037618637084961,
0.778125524520874,
-0.7625154256820679,
-0.08055438101291656,
0.16327449679374695,
-0.3853699564933777,
0.4511810541152954,
-0.5839989185333252,
-0.2743529677391052,
-0.4... |
Given the task definition and input, reply with output. In this task you are given an anecdote. You must find out whether the anecdote is something the author has done or is considering doing. Label the instances as "HISTORICAL" when the author has already done something and label them as "HYPOTHETICAL" when the author... | HISTORICAL | 5 | NIv2 | task282_scruples_event_time | zs_opt | [
0.20570147037506104,
0.33120280504226685,
0.193048357963562,
-0.030390482395887375,
-0.17046938836574554,
-0.7728404998779297,
0.38887375593185425,
0.7189503312110901,
-0.2966340184211731,
-0.0978921502828598,
-0.6983659267425537,
0.038845621049404144,
-0.5901350378990173,
-0.0431597791612... |
In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the gendered pronouns in the text and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable.
Sentence: Th... | Unidentifiable | 0 | NIv2 | task351_winomt_classification_gender_identifiability_anti | zs_opt | [
-1.3794341087341309,
0.5428293943405151,
0.2840428352355957,
-0.6084741353988647,
-0.10716957598924637,
0.24011889100074768,
-0.16968519985675812,
1.1215349435806274,
0.7472885847091675,
0.23835259675979614,
-1.1027218103408813,
-0.3687378168106079,
0.2884267568588257,
-0.41323626041412354... |
In this task you will be given a list, of lists, of numbers. Each list is presented with brackets and comma-separated values. For example, a list of numbers is [1,2,3] and a list of two lists of numbers is [[1,2],[3,4,6]]. You should sum up the values at every position of every inner list and put it as an element of yo... | [-116, 358, 49, 199, -179, -172, 97, 63, -27] | 4 | NIv2 | task122_conala_list_index_addition | zs_opt | [
-0.145683154463768,
-0.43440067768096924,
-0.43136757612228394,
-0.47886502742767334,
0.23808300495147705,
-0.2964320778846741,
0.7852182388305664,
0.5168708562850952,
-0.49018633365631104,
-0.005883019417524338,
-0.4225005507469177,
0.2538406252861023,
-0.4925619959831238,
0.0697236880660... |
Given the task definition, example input & output, solve the new input case.
In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story incoherent / implausible by indicating 1 or 2 in the output. If both sentence... | 1 | 1 | NIv2 | task070_abductivenli_incorrect_classification | fs_opt | [
-0.3245023488998413,
0.39965569972991943,
-0.02515910007059574,
0.31968605518341064,
0.07790378481149673,
0.04180290922522545,
0.08604580163955688,
1.0582531690597534,
0.0047316886484622955,
0.19189807772636414,
-0.547633707523346,
0.0702969878911972,
0.2090299427509308,
-0.417570710182189... |
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: 'preparation all the best hirika d who is hirika'. Dialogue 2: 'facewithtearsofjoy... | no
| 5 | NIv2 | task518_emo_different_dialogue_emotions | fs_opt | [
-0.43173617124557495,
0.2816509008407593,
0.6825878620147705,
-0.42469412088394165,
-0.28071171045303345,
-0.2664039731025696,
1.3030128479003906,
0.21836629509925842,
0.36491236090660095,
-0.49379730224609375,
-0.3996371328830719,
-0.7515596151351929,
-0.33805596828460693,
0.1006008088588... |
TASK DEFINITION: In this task, you are given two strings A,B. You must perform the following operations to generate the required output list: (i) Find the longest common substring in the strings A and B, (ii) Convert this substring to all lowercase and sort it alphabetically, (iii) Replace the substring at its respecti... | YihgpqtIOX, BjPgpqthDlG
| 8 | NIv2 | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | fs_opt | [
0.6778610944747925,
0.3431251049041748,
-0.2581155002117157,
-0.2381371259689331,
0.41345009207725525,
0.23609496653079987,
0.3055688142776489,
0.22067226469516754,
-0.4362705647945404,
-0.3049874007701874,
-0.8709248304367065,
-0.6964460015296936,
-0.2888100743293762,
-0.13247862458229065... |
Definition: Given a sentence in Arabic, generate a new Arabic sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probabili... | يمكن للمعلّم أن يُظهر للقسم كيف يُحَلّ الإحتيال. | 2 | NIv2 | task414_mickey_ar_sentence_perturbation_generation | zs_opt | [
0.24321042001247406,
0.07084646075963974,
0.5177685618400574,
-0.2627522051334381,
-0.5077557563781738,
-0.019645340740680695,
0.33147573471069336,
0.2644018828868866,
0.7574829459190369,
-0.5121171474456787,
-1.2129449844360352,
-0.3098217248916626,
-1.1120755672454834,
0.5494988560676575... |
In this task, you're given four sentences of a story written in natural language. The given story is not complete and your job is to complete the story by selecting one of the sentence choices from (A) and (B), such that the story sounds fully coherent.
One example: Sentence1: Rick grew up in a troubled household. Sent... | B | 6 | NIv2 | task296_storycloze_correct_end_classification | fs_opt | [
-0.3362070620059967,
0.7612736225128174,
-0.3876263201236725,
-0.2744988203048706,
0.03847123682498932,
-0.3416723906993866,
0.4601985216140747,
0.9442518949508667,
0.1343763768672943,
0.30949831008911133,
-0.15003818273544312,
0.1264532059431076,
-0.4542474150657654,
-0.21638280153274536,... |
You are given a sentence in English. Your job is to translate the English sentence into Spanish.
Let me give you an example: With economic growth, countries and societies enter into a virtuous cycle of upward mobility, opportunity and improved living standards.
The answer to this example can be: Con el crecimiento, lo... | He estudiado mucho sobre células madre; las células madre embrionarias son especialmente potentes. | 8 | NIv2 | task1219_ted_translation_en_es | fs_opt | [
-0.7747423648834229,
0.2358660101890564,
0.27306872606277466,
-0.2447461485862732,
-0.24851281940937042,
-0.7212854027748108,
-0.057081952691078186,
1.045464277267456,
-0.21011069416999817,
-0.34418147802352905,
-0.664608359336853,
0.4561486840248108,
-0.7023116946220398,
-0.05068223178386... |
Definition: In this task, you're given a review from Amazon. 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, 4: good, 5: extremely good.
Input: The hooks were separated from the body of three of the hangers during shipping... | 1 | 2 | NIv2 | task1310_amazonreview_rating_classification | zs_opt | [
-0.056190375238657,
-0.30077382922172546,
-0.06267165392637253,
0.21367427706718445,
0.40894097089767456,
-0.06894458830356598,
0.8119462728500366,
0.5331226587295532,
-0.4516337513923645,
0.6784496307373047,
-0.817101776599884,
0.051665641367435455,
-0.4081882834434509,
0.1304765045642852... |
Detailed Instructions: In this task, you are given two sentences in the English language and your task is to classify them into one of their discourse types. A discourse type is an indicator to classify the given two sentences on the basis of a co-text as well as a relevant context. There are 13 discourse types in tota... | PAIR_CONN | 8 | NIv2 | task564_discofuse_classification | zs_opt | [
0.1461438089609146,
0.07906819880008698,
-0.22136889398097992,
-0.7952036261558533,
0.7567755579948425,
-0.25636783242225647,
-0.12669530510902405,
0.5650152564048767,
-0.057900041341781616,
-0.14119145274162292,
-0.1788066327571869,
0.43024754524230957,
-0.032529547810554504,
0.0134628517... |
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.
On... | Hate Speech | 9 | NIv2 | task1502_hatexplain_classification | fs_opt | [
-0.4706948399543762,
0.7170355319976807,
0.5010339617729187,
0.3729887008666992,
-0.28102585673332214,
-1.102887749671936,
-0.015497819520533085,
0.3634493947029114,
0.3375932574272156,
0.3236508369445801,
-0.4931124746799469,
-0.011136932298541069,
-0.7650773525238037,
-0.978685736656189,... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
One example: To największa nagrywarka, jaką w życiu widzieliście.
Solution is here: It's sort of the biggest TiVo box you've ever seen.
Explanation: The Polish sentence is correctly translated into English, because the meanin... | We know our societies have to radically change. | 6 | NIv2 | task1256_ted_translation_pl_en | fs_opt | [
-0.23663003742694855,
0.9495629072189331,
0.9883164763450623,
0.15854880213737488,
0.21333113312721252,
-0.6450714468955994,
0.41877591609954834,
-0.1803554743528366,
0.14668498933315277,
0.04166988283395767,
0.4756354093551636,
0.362861692905426,
-1.1266398429870605,
-0.04054158926010132,... |
Definition: Given a sentence in the Japanese and Lao language. Your task is check if the Lao sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Input: Japanese: 国連人権高等弁務官のナビ・Pillayによると、5,000人以上がシリア蜂起で殺害され、約300人の子供が含まれている計算になる。
Lao: ອີງຕາມທ່ານ ນ... | Yes | 2 | NIv2 | task1126_alt_ja_lo_answer_generation | zs_opt | [
-0.7204718589782715,
-0.5466132164001465,
-0.22074007987976074,
0.3921898603439331,
0.006876417901366949,
-0.09848202764987946,
0.9571778178215027,
0.7484439015388489,
-0.33852601051330566,
0.13127489387989044,
-0.6014469861984253,
0.494120717048645,
-0.9212316870689392,
0.6690824031829834... |
TASK DEFINITION: Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
PROBLEM: Tweet: @anonymized_account Wszystko plus otyłość, bajpasy i proteza biodra , Question: Does the tweet contain cyberbullying (harmful) content?
SOLUTION: No
PROBLEM: Tweet: from: m... | No
| 8 | NIv2 | task839_cdt_classification | fs_opt | [
-0.816097617149353,
1.091109037399292,
0.13660529255867004,
0.3727577328681946,
-0.743955135345459,
-0.3756597340106964,
0.7075613737106323,
-0.4930432438850403,
0.3517564833164215,
0.11417387425899506,
-0.6316657066345215,
0.07313355803489685,
-1.075905680656433,
0.01079266332089901,
0.... |
Given a simple high-school level math question, you are required to solve it and provide the final answer. The final answer is always a single number. These questions can range from a variety of topics like simple arithmetic, solving equations, converting a quantity from one unit to another, finding remainders/GCD/LCM,... | 330.2
| 7 | NIv2 | task835_mathdataset_answer_generation | fs_opt | [
-0.6015241146087646,
0.48487627506256104,
-0.049538109451532364,
-0.6542550325393677,
0.5024376511573792,
-0.09333831816911697,
1.0745799541473389,
0.3785286545753479,
-0.0852176770567894,
-0.6923877000808716,
-0.5827462673187256,
0.11547097563743591,
-0.37259596586227417,
0.46735450625419... |
Given the task definition and input, reply with output. Given a set of five words, generate the word from the set that does not belong (i.e. is the least relevant) with the other words. Words are separated by commas.
crane, hoist, egret, tackle, ostrich
| hoist | 5 | NIv2 | task142_odd-man-out_classification_no_category | zs_opt | [
-0.00442835409194231,
0.8072553873062134,
0.32948338985443115,
0.000989554449915886,
0.0727880671620369,
-0.2768074572086334,
0.38222092390060425,
-0.15439996123313904,
0.21340259909629822,
-0.628829836845398,
-0.9668932557106018,
-0.40355920791625977,
-0.6319484710693359,
0.38316631317138... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Farsi.
One example is below.
Q: אתם רואים שהפינגווין הזה ניגש ומסתכל על החוטים, הוא לא אוהב את החוט הזה.
A: شما میتونید این پنگوئن ها رو ببینید اونها حرکت میکنند به اون سیمها نگاه میکنند ولی شبیه اون سیمها نیستند
Rationale: The Hebrew... | از طرفی دیگه متوجه شدیم که کلمه عبور تلفظی به خوبی جواب گوست ، پس ما تحقیقات بیشتری رو در این مورد انجام دادیم و ببینیم می تونیم از این نوع کلمات عبور استفاده ی بهتری ببریم. | 9 | NIv2 | task1113_ted_translation_he_fa | fs_opt | [
-1.2186267375946045,
0.7406445741653442,
0.013901682570576668,
0.2747591435909271,
-0.449656218290329,
-0.7271038889884949,
0.45742636919021606,
0.12396054714918137,
0.49748149514198303,
0.07919265329837799,
-0.9654251337051392,
0.5653074979782104,
-0.9492901563644409,
-0.04359778016805649... |
Given the task definition and input, reply with output. In this task, you need to count the number of words in a sentence that contain the given letter
Sentence: 'a stop sign casting a shadow of a sign that says war'. How many words contain the letter 'y' in the sentence.
| 1 | 5 | NIv2 | task161_count_words_containing_letter | zs_opt | [
-0.5028010606765747,
0.8021467924118042,
0.30307456851005554,
-0.4064159095287323,
-0.09424516558647156,
0.012187538668513298,
-0.4279634654521942,
0.8787990808486938,
0.9224562048912048,
-0.3861571252346039,
-0.08752542734146118,
0.05667546018958092,
-0.012268489226698875,
-0.098591580986... |
instruction:
You are given a passage. You need to construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is the whole paragraph. Avoid creating questions that can be answered correctly without actually understanding the paragraph... | about ethiopian import trade?
| 9 | NIv2 | task1594_yahoo_answers_topics_question_generation | fs_opt | [
0.021647106856107712,
0.46278637647628784,
-0.07847653329372406,
-0.580895185470581,
-0.012639511376619339,
-0.4692184627056122,
0.4855332374572754,
0.504957377910614,
-0.2920057773590088,
0.25135713815689087,
-0.32467204332351685,
0.06027776747941971,
-1.0489609241485596,
-0.2993105947971... |
Teacher:In this task, you're given an article and an answer. Your task is to generate the question for the answer based on the given article.
Teacher: Now, understand the problem? Solve this instance: Article: Are you planning to visit Britain? Here are a few suggestions for a beautiful weekend away. Bournemouth This f... | What can visitors do in Bournemouth? | 6 | NIv2 | task311_race_question_generation | zs_opt | [
0.4926725924015045,
0.8696922063827515,
-0.25369584560394287,
-0.7417669296264648,
0.6792821884155273,
-1.167559027671814,
0.2440914511680603,
0.5080971717834473,
-0.2593706250190735,
-0.006638647988438606,
0.17668651044368744,
1.2266123294830322,
-1.1213710308074951,
-0.3490438461303711,
... |
Q: Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
Which painter, along with Georges Braque, founded the style cubism in the early 20th century?
A: | cubism | 7 | NIv2 | task899_freebase_qa_topic_generation | zs_opt | [
-0.18314164876937866,
1.215955376625061,
0.1999264508485794,
-0.27697253227233887,
-0.5776405930519104,
-0.1391676813364029,
0.7567392587661743,
-0.9550994634628296,
0.23247548937797546,
-0.28795021772384644,
-0.2719533443450928,
0.7433335781097412,
-0.4559740424156189,
0.2684231996536255,... |
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: temperature
Words: hot, refreshing, popular, tropical, cool
A: | popular | 4 | NIv2 | task141_odd-man-out_classification_category | zs_opt | [
0.8882864713668823,
-0.022351795807480812,
-0.3624786138534546,
0.478768914937973,
0.2711818218231201,
-1.6888203620910645,
0.3838501572608948,
-0.3998940885066986,
-0.3736326992511749,
-0.360270619392395,
-0.2965824007987976,
-0.16326671838760376,
-0.6203488111495972,
-0.08034153282642365... |
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.
Example input: Question: The governm... | increase. | 3 | NIv2 | task178_quartz_question_answering | fs_opt | [
-0.4096008837223053,
0.35850048065185547,
-0.3253662586212158,
-0.20376867055892944,
0.011760937049984932,
-0.48024803400039673,
0.2811049520969391,
1.2191606760025024,
-0.3118175268173218,
0.26016250252723694,
-0.42883288860321045,
-0.2256699502468109,
-0.6696250438690186,
0.1099754869937... |
Given the task definition and input, reply with output. In this task you are given a small conversation between two persons and 4 options on how the conversation should continue. Your job is to choose the most reasonable option. The conversation and the options are separated by a newline character. Each dialogue in the... | A | 5 | NIv2 | task611_mutual_multi_turn_dialogue | zs_opt | [
-0.06906149536371231,
0.8171321153640747,
-0.1363518238067627,
-0.253460168838501,
0.06152128800749779,
-0.10665401071310043,
0.3742545545101166,
0.6946855187416077,
0.3333593010902405,
0.00757147092372179,
-0.6091461181640625,
-0.10596587508916855,
0.31599345803260803,
-0.4114692211151123... |
In this task, you need to translate the given English sentence to Polish language.
One example: The Americans didnt even know
Solution is here: Amerykanie nawet nie wiedzieli
Explanation: English sentence is properly converted into Polish sentence
Now, solve this: That's Mercury. This is Venus.
Solution: | To Merkury, to jest Wenus. | 6 | NIv2 | task830_poleval2019_mt_translation | fs_opt | [
-0.0005532531067728996,
1.4513622522354126,
0.06215173378586769,
-0.05363929271697998,
-0.48392680287361145,
-1.113187313079834,
0.6387855410575867,
-0.136431023478508,
1.240349531173706,
-0.6121811270713806,
-0.2522028684616089,
0.12053601443767548,
0.17649328708648682,
-0.491272807121276... |
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 ... | Yes | 3 | NIv2 | task1200_atomic_classification_xeffect | zs_opt | [
0.4387228190898895,
0.21436002850532532,
0.10535889118909836,
-0.3665751814842224,
-0.7811586260795593,
-1.0149292945861816,
1.4276390075683594,
0.21426953375339508,
-0.36405205726623535,
-0.6244809627532959,
-0.39566707611083984,
-0.39448195695877075,
-0.525597333908081,
0.128809943795204... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
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... | practice Antonym theory | 0 | NIv2 | task1510_evalution_relation_extraction | fs_opt | [
0.1876535713672638,
0.8714605569839478,
-0.17640219628810883,
-0.09377598762512207,
-0.06745383888483047,
-0.4749273955821991,
0.2879248261451721,
0.7062842845916748,
0.6699146032333374,
-0.41121387481689453,
-0.39113539457321167,
0.10840378701686859,
-0.4184819161891937,
-0.08547586202621... |
A text is given in Malayalam. Translate it from the Malayalam language to the Urdu language. The translation must not omit or add information to the original sentence.
Let me give you an example: اس کے تحت اس عمل کو قابل سزاعمل بنانے کی بھی تجویز ہے ،جس کے تحت تین برسوں تک کی قیداور جرمانہ عائد کیاجائیگا ۔
The answer ... | ബോണ്ട് വിപണി വിപുലീകരിക്കാന് നടപടികള് | 8 | NIv2 | task1060_pib_translation_urdu_malayalam | fs_opt | [
-0.17724356055259705,
1.1676442623138428,
-0.5304105281829834,
-0.43310970067977905,
0.05029661953449249,
-0.6335723400115967,
0.13444682955741882,
0.37197524309158325,
0.06878345459699631,
0.09100830554962158,
-0.8865562677383423,
0.19927701354026794,
-0.6109411716461182,
0.14535425603389... |
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".
Let me give you an example: Review: My cat won't touch thes... | False | 8 | NIv2 | task1309_amazonreview_summary_classification | fs_opt | [
-0.447592556476593,
-0.10233774781227112,
0.017615145072340965,
-0.15839172899723053,
0.10936447978019714,
-0.68672776222229,
0.1298442780971527,
0.8467467427253723,
-0.46198558807373047,
0.29976409673690796,
-0.2530253529548645,
-0.2707953155040741,
-0.3988472819328308,
-0.025819066911935... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Italian.
One example is below.
Q: "" אף אדם אינו אי העומד בפני עצמו.
A: "" Nessun uomo è un'isola completamente a sé.
Rationale: The Hebrew sentence is correctly translated into Italian, because the meaning is preserved.
Q: באמנויות מ... | Usano anche l'analisi. | 9 | NIv2 | task1111_ted_translation_he_it | fs_opt | [
-0.2303788959980011,
0.5492770671844482,
-0.18696939945220947,
-0.04730644077062607,
-0.0533595010638237,
-0.9691639542579651,
0.9755045175552368,
0.10770032554864883,
0.14409248530864716,
-0.6054442524909973,
-0.6661219596862793,
0.2878129184246063,
-0.8101253509521484,
0.4348757863044739... |
You are given a statement written in Hindi. 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 .
Example Input: Statement: विश्व के सभी प्रमुख देशों में कण त्वरक बनाये गये हैं। इस समय विश्व के विभिन्न देशों में व... | इंदौर
| 3 | NIv2 | task947_wiki_cloze_hi_multiple_choice_question_answering | fs_opt | [
1.0391478538513184,
1.117958903312683,
-0.1626971811056137,
0.31246089935302734,
0.10119184851646423,
-0.3562330901622772,
-0.030428394675254822,
0.6695115566253662,
-0.11876076459884644,
0.03937724977731705,
-0.0732249915599823,
0.6797840595245361,
-0.9872913360595703,
-0.4001034498214721... |
Given the task definition and input, reply with output. 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.
Category: THE UNITED STATES OF MEXICO ... | guadalajara | 5 | NIv2 | task306_jeopardy_answer_generation_double | zs_opt | [
-0.8386073112487793,
0.44034603238105774,
0.02301040291786194,
-0.2657272517681122,
-0.2249225378036499,
0.5984313488006592,
0.7130534648895264,
0.30397915840148926,
0.27065861225128174,
-0.005018654745072126,
-0.40828409790992737,
-0.49410322308540344,
-0.500885009765625,
-0.0749756395816... |
In this task you are given a sentence. You must judge whether the main verb of the sentence is in present or past tense. Label the instances as "Present" or "Past" based on your judgment. If there is no verb in the given text, answer "Present".
[EX Q]: So much blood, too much for the baby, a boy she named Charles Edwi... | Past
| 6 | NIv2 | task429_senteval_tense | fs_opt | [
-0.19235306978225708,
0.4577418863773346,
0.02221990004181862,
-0.13313135504722595,
-0.146352618932724,
-0.3087666630744934,
0.7942889928817749,
0.8674466013908386,
0.4444766044616699,
-0.20600998401641846,
-0.5501757264137268,
0.4035637378692627,
-0.5795157551765442,
-0.3033435344696045,... |
Q: A text is given in Bengali. Translate it from the Bengali language to the Gujarati language. The translation must not omit or add information to the original sentence.
এর আগে প্রধানমন্ত্রী তালকোটরা স্টেডিয়ামে ক্রিডাই আয়োজিত এক প্রদর্শনীও ঘুরে দেখেন।
A: | અગાઉ પ્રધાનમંત્રીએ તાલકટોરા સ્ટેડિયમમાં ક્રેડાઈ દ્વારા આયોજિત પ્રદર્શનની મુલાકાત લીધી હતી. | 7 | NIv2 | task1067_pib_translation_bengali_gujarati | zs_opt | [
0.37874501943588257,
0.3312336504459381,
-0.33579742908477783,
-0.14995500445365906,
0.1627887785434723,
-0.7560763359069824,
-0.26998257637023926,
-0.740359365940094,
0.20135048031806946,
-0.14549337327480316,
-0.7619056105613708,
-0.2249094694852829,
-0.23332399129867554,
0.8625271916389... |
In this task, you are presented with a term, a description of the term, and an expected answer ('yes' or 'no'). You should write a yes-no question about the given term such that the answer is the one provided to you (i.e., If the answer is "No", you should ask a question that its answer would be "No", and if the answer... | Do the Indigenous people in Canada reside in the United States? | 4 | NIv2 | task167_strategyqa_question_generation | zs_opt | [
0.8100402355194092,
-0.05735846236348152,
-0.35463809967041016,
0.4816950559616089,
-0.5606392621994019,
-0.20669952034950256,
1.0049556493759155,
0.5938012599945068,
0.037424229085445404,
-0.12964048981666565,
-0.015057571232318878,
0.4743807911872864,
-0.5818700790405273,
-0.484289348125... |
Given a document and an entity the task is to select the author's sentiment towards the entity. Sentiments can be Positive, Neutral and Negative. Select Positive if the article expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the document expresses no clear view tow... | Positive | 0 | NIv2 | task420_persent_document_sentiment_classification | zs_opt | [
0.351266086101532,
0.10381569713354111,
-0.29287397861480713,
0.12485954165458679,
0.4996282458305359,
-0.37072044610977173,
1.2258682250976562,
0.8196024894714355,
0.38999974727630615,
0.8270431756973267,
-0.14925390481948853,
0.25292354822158813,
-0.264829158782959,
-0.2117207646369934,
... |
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... | No | 6 | NIv2 | task1196_atomic_classification_oeffect | fs_opt | [
0.448166161775589,
0.2650246024131775,
0.4064773917198181,
-0.12069473415613174,
-0.2607736587524414,
-1.1281269788742065,
0.5603553056716919,
0.8737884759902954,
-0.2029457688331604,
-0.4431661367416382,
-0.635554313659668,
-0.17539842426776886,
-0.6210522651672363,
-0.31822913885116577,
... |
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 | task1213_atomic_classification_desires | zs_opt | [
0.001168718095868826,
0.0827755331993103,
0.3856446444988251,
-0.4369955062866211,
-0.5803513526916504,
-0.5646638870239258,
1.232933521270752,
0.3394068479537964,
-0.2195412516593933,
-0.5072779655456543,
-0.16946351528167725,
-0.21994546055793762,
-0.5716196298599243,
0.3921658396720886,... |
Given a sentence in Korean, provide an equivalent paraphrased translation in French that retains the same meaning both through the translation and the paraphrase.
Q: 1923 년에 독립적 인 일원 인 John Archibald Maharg가 야당의 지도자로, 1924 년과 1925 년에 Harris Turner가 독립적으로 야당 지도자로 봉사했습니다.
A: | En 1923, John Archibald Maharg était un membre indépendant du chef de l'opposition et Harris Turner, également indépendant, avait servi de chef de l'opposition en 1924 et 1925. | 4 | NIv2 | task784_pawsx_korean_french_translation | zs_opt | [
0.012966420501470566,
0.062179647386074066,
-0.7328806519508362,
0.11813133955001831,
0.049206942319869995,
-1.394273042678833,
1.166609287261963,
-0.7454235553741455,
-0.6259004473686218,
0.16886667907238007,
-0.18154318630695343,
-0.10155225545167923,
-0.6859295964241028,
0.1489503681659... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given four sentences: a bot task sentence, a bot role sentence, a user task sentence and a user role sentence. Your job is to classify given sentences into one of the 47 different domains. The domains are: 'UPDATE_CALENDA... | SHOPPING | 1 | NIv2 | task1394_meta_woz_task_classification | zs_opt | [
0.4193686246871948,
-0.23582583665847778,
-0.5022392868995667,
0.49994561076164246,
0.50440514087677,
-0.08036462962627411,
0.5257769227027893,
0.2927519977092743,
0.12013446539640427,
0.12231215089559555,
-0.36241498589515686,
0.4717518985271454,
-0.09171026945114136,
-0.02887710556387901... |
instruction:
In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
question:
"Twitter is depriving cyberdissidents in repressive... | 彼らは、14対8と遅れを取った時から、20対17になるまで試合を続け、その時点で、ウクライナがタイムアウトを取った。
| 9 | NIv2 | task435_alt_en_ja_translation | fs_opt | [
-0.5588034391403198,
0.21843086183071136,
0.24145665764808655,
-0.5058939456939697,
0.16405335068702698,
-0.5014178156852722,
1.221191167831421,
0.4225008487701416,
0.47803783416748047,
0.09514135122299194,
-0.2918381989002228,
0.014539922587573528,
-0.8487439751625061,
0.11260753124952316... |
Q: In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3.
[89, 17, 38, -43, 68, -19, 98, 8, 69, -76]
A: | [89, 17, 38, -43, 68, -19, 98, 8, -76] | 7 | NIv2 | task370_synthetic_remove_divisible_by_3 | zs_opt | [
0.3402710556983948,
-0.09904313087463379,
-0.7639422416687012,
-1.0190130472183228,
0.14596593379974365,
0.3845650553703308,
1.4238059520721436,
-0.2865850627422333,
-0.5019261837005615,
0.006722697056829929,
-0.7258466482162476,
0.24473774433135986,
0.004101631231606007,
-0.44178810715675... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with a text, a pronoun from the text, and two candidate names. You should determine what the pronoun refers to and classify the answers into A, B, or Neither. A and B here are referring to option A and optio... | B | 1 | NIv2 | task329_gap_classification | zs_opt | [
-0.11698415130376816,
0.23664918541908264,
0.2752262055873871,
0.07644864916801453,
-0.1686915010213852,
-0.030041657388210297,
0.8855442404747009,
0.4867056608200073,
0.2521514892578125,
0.27180781960487366,
-0.13270097970962524,
-0.5548102855682373,
0.3257215619087219,
-0.290609896183013... |
Given the task definition and input, reply with output. In this task, you are given a sentence in the Hindi language and a corresponding English translation of the Hindi sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No". In the translation, English sentence sh... | Yes | 5 | NIv2 | task426_hindienglish_corpora_hi-en_classification | zs_opt | [
-0.27148863673210144,
0.6311554908752441,
0.7132924795150757,
0.1099223792552948,
-0.019848965108394623,
-0.8955934047698975,
0.30661171674728394,
0.2957967221736908,
-0.3997874855995178,
-0.3470091223716736,
-0.42600563168525696,
0.8470228910446167,
-0.3112115263938904,
0.2411249577999115... |
You are given a math word problem and you are supposed to make use of mathematical concepts like probability, combinatorics, linear equations, sequences/series, or simple operators like addition, subtraction, division, or multiplication to answer the given question. Choose the best option from the 5 given options and r... | Option C | 4 | NIv2 | task750_aqua_multiple_choice_answering | zs_opt | [
0.649641752243042,
0.1662450134754181,
0.02817603573203087,
-0.09375066310167313,
-0.10288096964359283,
-0.7819442749023438,
0.5691853165626526,
0.8457125425338745,
-0.11996114999055862,
0.42622125148773193,
-0.8324410915374756,
-0.6366851329803467,
-0.6079605221748352,
-0.0011736275628209... |
Detailed Instructions: In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.
See one example below:
Problem: Sentence1: 'a red bus goes down the street beside a yellow building', Sentence2: 'the colorfully decorated living room has a retro style chair in it'. Is ... | No | 4 | NIv2 | task159_check_frequency_of_words_in_sentence_pair | fs_opt | [
-0.32830867171287537,
0.6622723340988159,
-0.28342804312705994,
0.08402760326862335,
0.17074240744113922,
-0.31534457206726074,
0.12125392258167267,
1.2925586700439453,
0.285667359828949,
0.1071881502866745,
-0.4998646676540375,
-0.2469230443239212,
0.43875277042388916,
0.01810305006802082... |
You are given a math word problem and you are supposed to make use of mathematical concepts like probability, combinatorics, linear equations, sequences/series, or simple operators like addition, subtraction, division, or multiplication to answer the given question. Choose the best option from the 5 given options and r... | Option B
| 6 | NIv2 | task750_aqua_multiple_choice_answering | fs_opt | [
1.0203295946121216,
-0.3132728934288025,
-0.5887848138809204,
-0.8253114223480225,
0.3835234045982361,
-0.2891756296157837,
0.6592879295349121,
0.7071398496627808,
-0.13788558542728424,
-0.42869457602500916,
-0.4685547947883606,
0.2650905251502991,
0.03798775374889374,
0.07138276100158691,... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
One example is below.
Q: Con el crecimiento, los países y las sociedades ingresan en un ciclo virtuoso de movilidad ascendente, de oportunidad y mejores niveles de vida.
A: With economic growth, countries and societies ente... | You're doing it for the task itself, for the challenge — and the ocean is the most challenging environment there is — for the thrill of discovery, and for that strange bond that happens when a small group of people form a tightly knit team. | 9 | NIv2 | task1226_ted_translation_es_en | fs_opt | [
-0.9176205396652222,
0.9630066156387329,
0.26173096895217896,
-0.26433005928993225,
-0.14462906122207642,
-0.08929990977048874,
-0.07933347672224045,
0.8964986801147461,
0.05816198140382767,
-0.4154377281665802,
-0.19922009110450745,
0.19476842880249023,
-0.8244075775146484,
-0.13849881291... |
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A.
One example: 3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']
Solution is here: 931, 7, 3432, 13245, 762
Expl... | J, J, 2115, c, 8843, q, d | 6 | NIv2 | task064_all_elements_except_first_i | fs_opt | [
-0.09952018409967422,
0.5866392254829407,
-0.42258667945861816,
-0.7990080714225769,
-0.4439343810081482,
-0.09734185039997101,
0.9515491127967834,
0.0011206148192286491,
-0.5063222646713257,
-0.20016390085220337,
-0.7177817225456238,
-0.10619091242551804,
-0.11866310238838196,
-0.33968102... |
Part 1. Definition
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Hebrew.
Part 2. Example
ويمكن اعادة تكرار هذه العملية على طول الشريط لكي نطبق شريط الحمض النووي فنشكل ما يشبه المستطيلات
Answer: סך כל הפעולות של המהדקים על הגדיל הארוך מקפלות אותו לצורה דמויית מלבן.
Explanation: Th... | מ "" ר: התיזה שלי בספר הזה היא שיש שבעה מיליארד אנשים בעולם, ולמעשה, שבע מיליארד דרכים יחודיות להביע את המגדר של מישהו. | 7 | NIv2 | task1233_ted_translation_ar_he | fs_opt | [
-0.32986992597579956,
0.5920054316520691,
-0.07176672667264938,
-0.5476434230804443,
-0.18979567289352417,
0.23514874279499054,
1.283782720565796,
-0.46027979254722595,
0.6764456629753113,
-0.47822970151901245,
-1.2140581607818604,
0.06929197907447815,
-0.829812228679657,
-0.00569781940430... |
Definition: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Farsi.
Input: אבל פה, משלמי המיסים מכסים את החשבון ומה שהילדים מקבלים זה תא כלא קר וסימן תמידי נגדם כשהם מגיעים הביתה וניגשים לקבל עבודה.
Output: | اما در اینجا مالیات دهندگان هزینه آن را می پردازند و یک سلول سرد آن چیزی است که نوجوانان می گیرند و سابقه ای که هنگام برگشت به خانه و درخواست شغل همیشه همراهشان هست. | 2 | NIv2 | task1113_ted_translation_he_fa | zs_opt | [
-0.14379814267158508,
0.28382664918899536,
-0.6903829574584961,
-0.3853249251842499,
-0.7110028266906738,
0.19346074759960175,
0.661884069442749,
0.5826849341392517,
0.5979100465774536,
0.33577054738998413,
-0.6287721395492554,
0.11817623674869537,
-0.5804812908172607,
0.3777363896369934,
... |
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 four classes: Religious, Political, Geopolitical and Persona... | Political | 0 | NIv2 | task1494_bengali_hate_speech_classification | zs_opt | [
-0.23051536083221436,
0.2557888627052307,
0.11893485486507416,
0.40942370891571045,
-0.3307076394557953,
-0.3390973210334778,
0.07180802524089813,
0.15088146924972534,
-0.5711787939071655,
0.1248321682214737,
-0.4883151054382324,
-0.3100140690803528,
0.12058885395526886,
-0.432924896478652... |
In this task, you will be given a passage consisting of set of facts. The task is to create a question of form 'Where is <person_name>?' that is answerable from exactly one of the given facts. Avoid creating questions that are unanswerable from all of the facts.
Passage: Daniel went back to the office. Sandra went to ... | Where is Sandra? | 0 | NIv2 | task082_babi_t1_single_supporting_fact_question_generation | zs_opt | [
0.24189375340938568,
0.9428308010101318,
-0.8077095746994019,
-0.41368091106414795,
-0.49699366092681885,
-0.4507191777229309,
0.866478681564331,
0.03620448336005211,
0.19280973076820374,
0.029917778447270393,
-0.3388884663581848,
0.38891929388046265,
-0.159187912940979,
0.1854023635387420... |
Detailed Instructions: A text is given in English. Translate it from the English language to the Oriya language. The translation must not omit or add information to the original sentence.
Q: However, the expenditure would continue to be monitored at National Level within the prescribed ceiling. It will help the States ... | ନିଜର ପ୍ରାରମ୍ଭିକ ଅଭିଭାଷଣକୁ ଉଲ୍ଲେଖ କରି ପ୍ରଧାନମନ୍ତ୍ରୀ କହିଥିଲେ ଯେ ଅତ୍ୟନ୍ତ ସରଳ ଭାବେ ସେ ନୂଆ ଭାରତ(New India)ର ଦୃଷ୍ଟିଭଙ୍ଗୀ ଓ 5ହଜାର ବର୍ଷ ପୂର୍ବେ ଲେଖାଯାଇଥିବା ବେଦ ସମ୍ପର୍କରେ କହିଥିଲେ । ବେଦରେ କୁହାଯାଇଛି ଯେ ପ୍ରକୃତିର ଦୋହନ କରାଯାଇପାରିବ କିନ୍ତୁ ପ୍ରକୃତିର ଶୋଷଣ ନୁହେଁ । | 9 | NIv2 | task987_pib_translation_english_oriya | zs_opt | [
-0.42341387271881104,
0.33561453223228455,
-0.27285391092300415,
-0.23438140749931335,
0.37784188985824585,
-1.1497318744659424,
1.0548943281173706,
0.42519962787628174,
-0.494393527507782,
0.38392651081085205,
-0.39009541273117065,
-0.35840463638305664,
-0.34253811836242676,
0.46512430906... |
Detailed Instructions: Given a sentence in Arabic, generate a new Arabic sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonabl... | أنت يُمْكِنُ أَنْ تَكْسُرَ a قطّة لتَجِدُ نعيمًا. | 9 | NIv2 | task414_mickey_ar_sentence_perturbation_generation | zs_opt | [
-0.7023552656173706,
0.6800304055213928,
0.09157741069793701,
0.05115119367837906,
-0.4216518700122833,
-0.4771284759044647,
1.2313618659973145,
0.8164267539978027,
-0.26253053545951843,
0.17546826601028442,
-0.3954298794269562,
0.3933231234550476,
-0.7457643151283264,
-0.04707186669111252... |
Instructions: A text is given in Bengali. Translate it from the Bengali language to the Hindi language. The translation must not omit or add information to the original sentence.
Input: प्रधानमंत्री मोदी ने गृहमंत्री श्री अमित शाह को विशेष रूप से बधाई देते हुए कहा कि हमारे गृहमंत्री अमित शाह जी जम्मू-कश्मीर और लद्दाख क... | শ্রী মোদী বলেছেন, ‘আমাদের স্বরাষ্ট্র মন্ত্রী শ্রী অমিত শাহ্জী জম্মু, কাশ্মীর ও লাদাখের মানুষের জীবনযাপনের মানোন্নয়নের লক্ষ্যে নিরন্তর কাজ করে চলেছেন। | 3 | NIv2 | task1010_pib_translation_hindi_bengali | zs_opt | [
0.14301267266273499,
0.13979139924049377,
0.43956494331359863,
-0.5027718544006348,
0.05196986719965935,
-0.7842124700546265,
0.2022358775138855,
-0.28154921531677246,
-0.4095548987388611,
-0.0029265705961734056,
-0.6300578117370605,
-0.13000327348709106,
-0.1346571296453476,
0.21955651044... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: insult and non-insult. Insult is any lanugage or act that is disrespectful or scornfully abusive.
Ex Input:
Comment: These people are idiots
Ex Output:
Insult
Ex Input:
Comment: Just so you... | Non-insult
| 1 | NIv2 | task328_jigsaw_classification_insult | fs_opt | [
-0.9082333445549011,
0.4920274019241333,
0.7560965418815613,
-0.4404401183128357,
-0.03391226381063461,
-0.3042948246002197,
0.6215736269950867,
0.9955030679702759,
0.6175345182418823,
0.610775351524353,
-0.4856443405151367,
-0.18341633677482605,
-0.1043245941400528,
-0.9405991435050964,
... |
Instructions: In this task, you are given a sentence or phrase in English. You must translate it to Xhosa in a way that is equivalent in terms of meaning and grammatically correct.
Input: The handling of any type of power boat is governed in general by the common sense rules of seamanship.
Output: | Ukuphatha naluphina uhlobo lesikhephe elinamandla ilawulwa ngokoburhulumente ngokwengcinga eziqhelekileyo kumthetho woomatiloshe benqanawa. | 3 | NIv2 | task872_opus_xhosanavy_translation_eng_xhosa | zs_opt | [
0.405838280916214,
0.32642775774002075,
-0.48172396421432495,
-1.0836420059204102,
-0.16713157296180725,
-1.1997672319412231,
0.9346300959587097,
0.2684977352619171,
0.25004053115844727,
-0.3125537633895874,
-0.017346475273370743,
-0.5588887929916382,
-0.06815445423126221,
-0.2786579728126... |
Definition: Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks fo... | I_JUMP I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK | 2 | NIv2 | task130_scan_structured_text_generation_command_action_long | zs_opt | [
0.09548939764499664,
0.4013271629810333,
-0.35974836349487305,
-0.007896104827523232,
0.25207066535949707,
-0.04911684989929199,
0.43267273902893066,
0.02269468642771244,
-0.04229002445936203,
-0.07858000695705414,
-0.7322475910186768,
-0.21488675475120544,
-0.8012762069702148,
-0.09813271... |
In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal.
Here are the defications ... | ordinal | 6 | NIv2 | task212_logic2text_classification | fs_opt | [
0.21964630484580994,
-0.30885472893714905,
-0.36885225772857666,
0.2988694906234741,
0.41732579469680786,
-0.5481292009353638,
0.769274115562439,
0.693027675151825,
0.24964484572410583,
-0.025244956836104393,
-0.14885058999061584,
0.16923771798610687,
-0.004334928467869759,
0.4120887815952... |
Detailed Instructions: In this task, you're given the beginning and the ending of a three-part story. Your job is to complete the short story by writing a middle sentence that seamlessly connects the first and last sentence. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to ... | Joe started to feel hungry. | 9 | NIv2 | task067_abductivenli_answer_generation | zs_opt | [
-0.7589688897132874,
0.8421772718429565,
-0.45369619131088257,
0.1531175673007965,
-0.6935992240905762,
0.09419582784175873,
0.996738612651825,
0.5920427441596985,
-0.4871579110622406,
0.05388423800468445,
-0.19209381937980652,
0.13374657928943634,
-0.2742849588394165,
-0.09392014145851135... |
In this task, you are given a sentence in the Spanish language. Your task is to translate the Spanish sentence into the English language.
Ex Input:
La medición más precisa de la temperatura corporal en un paciente inconsciente, debe obtenerse a nivel
Ex Output:
The most accurate measurement of body temperature in an ... | One of the characteristics of the Nursing Process is
| 1 | NIv2 | task1433_head_qa_language_translation_es_to_en | fs_opt | [
0.07330727577209473,
-0.33546900749206543,
-1.3006086349487305,
-0.2712404429912567,
0.14134515821933746,
-0.8841440081596375,
-0.4182620048522949,
0.36198684573173523,
0.22040674090385437,
0.08059415966272354,
0.17635558545589447,
0.23536492884159088,
-0.005706921685487032,
0.187191367149... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Spanish.
--------
Question: و آنچه مادر می خورد ، زیر بنای پیش بینی جنین است. و آنچه مادر می خورد ، زیر بنای پیش بینی جنین است.
Answer: Y la base de la predicción del feto es lo que come su madre.
Question: اما اتفاقی که می افته ... | ¡Eran reales!
| 7 | NIv2 | task1267_ted_translation_fa_es | fs_opt | [
-1.021592617034912,
0.44465190172195435,
-0.8176197409629822,
0.22027671337127686,
-0.9146369695663452,
0.2510935068130493,
-0.0584305040538311,
1.203826665878296,
0.4729224443435669,
-0.38603174686431885,
-0.7572882771492004,
0.21079643070697784,
-0.4071834981441498,
0.32164373993873596,
... |
Teacher: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Os astrónomos acreditam que cada estrela da galáxia tem um planeta, e especulam que até um quinto deles tem um plane... | What did it do? | 2 | NIv2 | task1274_ted_translation_pt_en | fs_opt | [
-0.16633576154708862,
0.5033619403839111,
0.22515907883644104,
-0.5582754611968994,
0.006991141475737095,
-0.7993054986000061,
-0.4723395109176636,
0.5188425779342651,
0.5202935934066772,
-0.44947996735572815,
-0.16606709361076355,
0.29079633951187134,
-0.4092658758163452,
-0.5289518833160... |
Given a sentence in Spanish, generate a new Spanish sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it b... | Ser atropellado por un coche puede eliminar su seguridad. | 0 | NIv2 | task417_mickey_es_sentence_perturbation_generation | zs_opt | [
-0.5293688178062439,
0.43930739164352417,
0.4689473509788513,
-0.01458890549838543,
-0.2482803463935852,
-0.6367733478546143,
0.43680518865585327,
1.5722614526748657,
0.004408174194395542,
-0.7376372814178467,
-0.9711488485336304,
-0.06315552443265915,
-0.7984341382980347,
-0.1477952897548... |
Teacher: Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Teacher: Now, understand the problem? If you are still confused, see the following example:
I've read this book with much expectation, it was very boring all through out the book
Solution: Negative
R... | Negative | 2 | NIv2 | task493_review_polarity_classification | fs_opt | [
-0.36525818705558777,
-0.7189925909042358,
0.8311477899551392,
-0.47675907611846924,
0.6656415462493896,
-0.8372464179992676,
0.6282777786254883,
0.48718124628067017,
0.9813982248306274,
0.49599987268447876,
0.4572504758834839,
-0.5260633826255798,
-0.5461647510528564,
-0.556446373462677,
... |
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