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: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.
While playing a trivia game , Mike answered 3 questions correct in the first half and... | 24 | 7 | NIv2 | task866_mawps_multidiv_question_answering | zs_opt | [
-0.29597151279449463,
0.6103635430335999,
0.15990468859672546,
-0.5554813742637634,
-0.22243192791938782,
-0.33749452233314514,
1.1876509189605713,
0.11345033347606659,
0.13062523305416107,
0.10651689022779465,
-0.9138873815536499,
-0.5358936786651611,
-0.4054906964302063,
0.33131539821624... |
Instructions: Given an Amazon review, indicate whether it is a 'Positive Review' or 'Negative Review'.
Input: I have a device with a narrow space near the mini-USB port (PocketBook 301 reader), so normal mini-USB cables do not fit that device. This cable is pictured having a narrow \\"step\\" near the mini-USB end; thi... | Negative Review | 3 | NIv2 | task1343_amazon_us_reviews_rating | zs_opt | [
-0.4286886155605316,
-0.24443934857845306,
-0.5071951746940613,
-0.34322768449783325,
0.6132990121841431,
0.6694545745849609,
0.3310468792915344,
-0.2144346535205841,
-0.03958228603005409,
0.3173825740814209,
0.5493206977844238,
0.25074249505996704,
-0.40678346157073975,
-0.311816304922103... |
instruction:
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', '... | base
| 9 | NIv2 | task900_freebase_qa_category_classification | fs_opt | [
0.0033467155881226063,
0.28120073676109314,
0.2102328985929489,
-0.4714046120643616,
0.12304285913705826,
0.16853860020637512,
0.4609931707382202,
0.6574339866638184,
-0.4835990071296692,
0.05544683337211609,
0.005791281815618277,
0.251108318567276,
-0.782638669013977,
-0.17668955028057098... |
Given the task definition and input, reply with output. You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
Stwarza to dla architekta nową funkcję.
| در نتیجه ، این منجر به نقشِ جدیدی برای یک معمار می شود. | 5 | NIv2 | task1263_ted_translation_pl_fa | zs_opt | [
-0.5366473197937012,
1.3355448246002197,
0.03448700159788132,
-0.014329154044389725,
-0.2302362024784088,
-0.004378034267574549,
0.6838955283164978,
-0.5071545839309692,
0.8030819892883301,
-0.21818390488624573,
-0.6730480194091797,
0.7360446453094482,
-0.13034844398498535,
0.4296020865440... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in German, generate a new German 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 hi... | Das Gesicht des Sterbens ist ein Farbwechsel. | 1 | NIv2 | task416_mickey_de_sentence_perturbation_generation | zs_opt | [
-0.41959887742996216,
0.6074119806289673,
0.1749533712863922,
-0.34013092517852783,
-0.4267929792404175,
-0.5095582604408264,
0.8499139547348022,
0.7120486497879028,
0.2553115487098694,
-0.41104656457901,
-0.4474104642868042,
-0.13253605365753174,
-0.459859699010849,
0.6082688570022583,
... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Spanish.
ترعرعت محاطاً بأنواع مختلف من متاجر الخردوات ، و أحب الذهاب إلى الأسواق الليلية. | Crecí rodeado de diferentes tipos de ferreterías y me gusta ir a los mercados nocturnos. | 0 | NIv2 | task1232_ted_translation_ar_es | zs_opt | [
-1.0049521923065186,
0.38100072741508484,
-0.2921334505081177,
0.10139311105012894,
-0.4650943875312805,
0.4018159806728363,
0.3058907687664032,
0.38386252522468567,
0.4848894476890564,
-0.8613964319229126,
-0.9394944906234741,
-0.13604168593883514,
-1.088392972946167,
0.27721530199050903,... |
In this task, you're given a statement, the genre to which that statement belongs, and a label indicating if the statement should be agreed with (entailment), disagreed with (contradiction), or neither (neutral). Your job is to write a sentence that describes the genre that follows the tone with respect to the statemen... | The management and oversight costs are likely to force SEC to discontinue its contract.
| 7 | NIv2 | task203_mnli_sentence_generation | fs_opt | [
-1.0280135869979858,
0.6974834203720093,
-0.02332148887217045,
0.18730428814888,
0.7862677574157715,
-0.6736775636672974,
-0.2713368535041809,
1.1698431968688965,
-0.31284692883491516,
-0.0754883736371994,
0.20104587078094482,
-0.20012086629867554,
-0.3079267144203186,
-0.6252691745758057,... |
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 individual's beli... | green_drawer
****
| 4 | NIv2 | task154_tomqa_find_location_hard_noise | fs_opt | [
0.5430713891983032,
-0.43658751249313354,
-0.5310700535774231,
-0.21832275390625,
0.0640963539481163,
-0.8130487203598022,
0.18339811265468597,
0.6862337589263916,
-0.14560376107692719,
0.32605409622192383,
-0.7464998960494995,
0.5309363603591919,
-0.038547761738300323,
-0.0792852118611335... |
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 .
Statement: १९८७ में <MASK> के दौरे के दौरान, मलिक ने हेडिंग्ले में ९९ रनों पर आउट हो गए और द ओवल में इन्होंने शानदा... | इंग्लैंड | 0 | NIv2 | task947_wiki_cloze_hi_multiple_choice_question_answering | zs_opt | [
-0.28394025564193726,
0.7614626288414001,
-0.29678159952163696,
0.09062625467777252,
0.088099904358387,
-0.5103704929351807,
0.3139645457267761,
0.34753572940826416,
0.01398828811943531,
-0.25089454650878906,
-0.025836262851953506,
0.5807312726974487,
-0.29158079624176025,
-0.4372573494911... |
Given the task definition and input, reply with output. Given a sentence in German, generate a new German 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 plausi... | Sie können ein Zoom-Plugin verwenden, um ein Nahaufnahme-Bild eines Stifts zu machen. | 5 | NIv2 | task416_mickey_de_sentence_perturbation_generation | zs_opt | [
-0.9470045566558838,
0.7125241756439209,
0.6683704853057861,
-0.14274722337722778,
-0.06572827696800232,
0.1868560016155243,
0.8616488575935364,
1.0116147994995117,
0.1894218921661377,
-0.6776688694953918,
-0.777799129486084,
0.029481403529644012,
-0.33714520931243896,
0.014481466263532639... |
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 end sentence choices from (A) and (B), such that the story does not sound complete and coherent, i.e., select an incorrect end sentence.
Example... | Solution: B | 5 | NIv2 | task297_storycloze_incorrect_end_classification | fs_opt | [
-0.27973008155822754,
0.8263306021690369,
-0.22222454845905304,
-0.4853900969028473,
0.10869237780570984,
-1.003929853439331,
0.2666759192943573,
0.7778557538986206,
-0.11531228572130203,
0.34334826469421387,
-0.417379766702652,
-0.25374090671539307,
-0.06939934939146042,
-0.42189067602157... |
Given the task definition and input, reply with output. 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.
Context : Preethi Madu Thamashe Nodu (Kannada: ಪ್ರೀತಿ ಮಾಡು ತಮಾಷೆ ನೋಡು) is a 1979 Indian ... | Who id the director for Preethi Madu Thamashe Nodu? | 5 | NIv2 | task1326_qa_zre_question_generation_from_answer | zs_opt | [
-0.5946120023727417,
1.0329029560089111,
-0.5541058778762817,
-0.09827323257923126,
-0.18728949129581451,
0.5462609529495239,
0.5259045362472534,
0.1896786391735077,
0.3048865795135498,
-0.7745354175567627,
-1.0202447175979614,
-0.31014561653137207,
-0.3839363157749176,
0.45070454478263855... |
Part 1. Definition
You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.
Part 2. Example
Ora, lungo il percorso, George segnala che la sua tecnologia, la tecnologia della biologia sintetica, sta accelerando molto più velocemente del tasso previsto dalla Legge di Moore.
Answe... | E é isso que se tem que fazer para preparar as crianças para a educação e para a escola. | 7 | NIv2 | task1255_ted_translation_it_pt | fs_opt | [
-0.22083255648612976,
0.681490957736969,
0.1945270299911499,
-0.5842976570129395,
0.09921206533908844,
0.05153127759695053,
-0.5254278182983398,
1.3270604610443115,
-0.4751238226890564,
-0.03691378980875015,
-0.4810160994529724,
-0.01609620451927185,
-0.22227522730827332,
-0.49486988782882... |
Detailed Instructions: Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so the users can decide to read the main text or not.
Pr... | sending the pizza driver back for my drink | 8 | NIv2 | task500_scruples_anecdotes_title_generation | zs_opt | [
0.5495932698249817,
-0.43066585063934326,
0.22724804282188416,
0.14169985055923462,
0.07422290742397308,
-0.44731152057647705,
0.23228749632835388,
0.5652967691421509,
-0.2324429452419281,
0.21953517198562622,
0.057330429553985596,
0.047080568969249725,
-0.4005052447319031,
-0.147344440221... |
The task is to generate the correct answer for a given math problem.
Q: Problem: every year an amount increases by 1 / 8 th of itself . how much will it be after two years if its present value is rs . 70400 ?
A: 89100
****
Q: Problem: a man buys 60 pens at marked price of 46 pens from a whole seller . if he sells the... | rs . 26
****
| 4 | NIv2 | task1726_mathqa_correct_answer_generation | fs_opt | [
-0.04419413581490517,
1.170508861541748,
-0.5523239374160767,
-0.2067168951034546,
-0.37625476717948914,
-0.039265114814043045,
0.18650922179222107,
0.4859525263309479,
0.36592087149620056,
-0.06338521838188171,
-0.7791078090667725,
1.0593032836914062,
-1.1966168880462646,
0.18421638011932... |
In this task you will be given a string that only contains single digit numbers spelled out. The input string will not contain spaces between the different numbers. Your task is to return the number that the string spells out. The string will spell out each digit of the number for example '1726' will be 'oneseventwosix... | 385284902
| 7 | NIv2 | task1443_string_to_number | fs_opt | [
-0.7949609756469727,
1.1624634265899658,
-0.23869392275810242,
-1.0139870643615723,
-0.4464048743247986,
-0.010308340191841125,
0.9486979842185974,
-0.07031112164258957,
-0.0895988792181015,
-0.4599440097808838,
-0.764401376247406,
0.2480349838733673,
-1.099259853363037,
-0.259697377681732... |
Teacher:You are given a science question (easy-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'. There is only one ... | A | 6 | NIv2 | task228_arc_answer_generation_easy | zs_opt | [
-0.2990254759788513,
0.6181867718696594,
-0.4394794702529907,
-0.8274973630905151,
-0.6182152032852173,
-0.536524772644043,
0.4383683204650879,
0.6094891428947449,
0.10289349406957626,
-0.10459405183792114,
-0.07687392830848694,
0.2580430507659912,
0.7987183928489685,
-0.4599836468696594,
... |
Read the given text and if it has abusive content then indicate via "yes". Otherwise indicate via"no".
We consider the content to be abusive if it contains any of the following instances: (1) Identity Directed Abuse (e.g., Content which contains a negative statement made against an identity. An identity is a social ca... | no
| 3 | NIv2 | task108_contextualabusedetection_classification | fs_opt | [
-0.14091557264328003,
0.11039095371961594,
0.2528536915779114,
0.2513873279094696,
-0.15920455753803253,
-0.7741252183914185,
0.7977197170257568,
0.5510982275009155,
-0.021571410819888115,
0.5702171325683594,
0.048657044768333435,
-0.390834242105484,
-0.33668237924575806,
-0.79712027311325... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Hebrew.
Example input: Afinal de contas elas é que decidem, e decidiram mesmo.
Example output: אחרי הכל, הם החליטו, והם עשו,
Example explanation: The Portugese sentence is correctly translated into Hebrew, because the meaning... | ביפן למשל, לדעתי השוק השלישי בגודלו, קיים חוק עיצוב, המגן על לבוש, אך תקן החידוש גבוה כל כך, שעליכם להוכיח שהבגד שעיצבתם מעולם לא היה קיים קודם לכן. שהוא יחיד במינו. | 3 | NIv2 | task1278_ted_translation_pt_he | fs_opt | [
-0.03477669134736061,
0.7206297516822815,
0.19718314707279205,
0.2192022204399109,
-0.33058446645736694,
-0.5714539885520935,
0.05198823660612106,
0.8878293633460999,
0.21107713878154755,
0.11214438080787659,
-0.7018162608146667,
0.5044288635253906,
-0.8564756512641907,
-0.2619872987270355... |
In this task, you're given a review from Amazon's food products. Your task is to generate a short summary of the given review in the input. Note that you don't need to write a complete sentence as a summary.
Let me give you an example: I have bought several of the Vitality canned dog food products and have found them ... | Well | 8 | NIv2 | task589_amazonfood_summary_text_generation | fs_opt | [
-0.6618469953536987,
-0.08666454255580902,
0.24170416593551636,
-0.5083892345428467,
0.14977867901325226,
-0.33019742369651794,
0.7347415685653687,
0.6203307509422302,
-0.35751718282699585,
0.29403436183929443,
0.41229888796806335,
0.24917829036712646,
-1.0666003227233887,
-0.2087783813476... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given two sentences, sentence 1 and sentence 2, and the genre they belong to. Your job is to determine if the two sentences belong to the same genre or not. Indicate your answer with Y and N respectively. Genres available ... | N | 1 | NIv2 | task204_mnli_same_genre_classification | zs_opt | [
-1.2841882705688477,
0.46064820885658264,
-0.030566450208425522,
-0.33775848150253296,
0.013274118304252625,
0.3310905992984772,
0.43585532903671265,
0.7069725394248962,
0.13815319538116455,
-0.034103475511074066,
-0.4089099168777466,
0.2814018130302429,
-0.6073534488677979,
-0.39922881126... |
Definition: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew.
Input: 工業デザイナーには必ず制約があります
Output: | כל המעצבים התעשיייתיים עובדים בתוך מגבלות. | 2 | NIv2 | task1225_ted_translation_ja_he | zs_opt | [
-0.831499457359314,
-0.42728424072265625,
-0.008285200223326683,
-0.11679154634475708,
-0.12767687439918518,
0.07379494607448578,
-0.26403218507766724,
-0.171086847782135,
0.9392722249031067,
0.03460590913891792,
-0.7880523800849915,
-0.3988848626613617,
0.2342928797006607,
-0.137690544128... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Arabic.
Problem:So this raises three really important questions: What is life?
Solution: | وهذا بدوره يطرح ثلاثة أسئلة مهمة: ما هى الحياة ؟ | 8 | NIv2 | task1220_ted_translation_en_ar | zs_opt | [
-0.06163907051086426,
0.6748746037483215,
0.09540601074695587,
-0.02908099628984928,
0.06073133647441864,
-0.20874688029289246,
1.182511806488037,
-0.020997552201151848,
-0.3182114064693451,
0.148948073387146,
-0.665000319480896,
0.19811630249023438,
-1.370462417602539,
-0.0492855086922645... |
You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to find the correct answer (and return the string of the correct option, not option1/2) for the given question from the given options and based on the given passage. Answer of the question can be found ... | Solution: hotdogs | 5 | NIv2 | task164_mcscript_question_answering_text | fs_opt | [
0.912778377532959,
0.1514081060886383,
-0.4893239736557007,
0.737118124961853,
0.15376538038253784,
-0.8539096713066101,
0.6739705801010132,
0.816928505897522,
-0.26274678111076355,
-0.6397979855537415,
-0.4917111396789551,
-0.22404444217681885,
-0.16873109340667725,
0.07127392292022705,
... |
Teacher: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... | non-religious | 6 | NIv2 | task1492_bengali_religious_hate_speech_binary_classification | zs_opt | [
-0.5767873525619507,
0.010607006028294563,
0.31015539169311523,
-0.022312013432383537,
-0.9180448055267334,
-0.7612146139144897,
0.7409282922744751,
-0.005001305602490902,
-0.08353985846042633,
-0.22730891406536102,
-0.36368781328201294,
0.040158942341804504,
-0.02688291296362877,
-0.21306... |
Part 1. Definition
In this task, you're given a context passage, an answer, and a question. Your task is to classify whether the question for this answer is correct or not, based on the given context with commonsense reasoning about social situations. If its correct ,return "True" else "False".
Part 2. Example
Context:... | True | 7 | NIv2 | task384_socialiqa_question_classification | fs_opt | [
0.22242134809494019,
0.5124691724777222,
0.30440789461135864,
0.08361130952835083,
-0.01827414520084858,
-0.4391600489616394,
0.8038600087165833,
0.2342432588338852,
0.31628644466400146,
-0.22106608748435974,
-0.6988890171051025,
-0.09143558144569397,
-0.2986116409301758,
0.087737403810024... |
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 ... | nmen | 0 | NIv2 | task088_identify_typo_verification | zs_opt | [
-0.34686025977134705,
0.3019396662712097,
0.2959195077419281,
0.3777710497379303,
0.10951236635446548,
-0.4345913529396057,
0.7865145206451416,
-0.13922464847564697,
0.14705532789230347,
0.15568067133426666,
-0.011215356178581715,
-0.4123294949531555,
-0.6028027534484863,
-0.23527234792709... |
This task is about creating an unanswerable question based on a given passage. Construct a question that looks relevant to the given context but is unanswerable. Following are a few suggestions about how to create unanswerable questions:
(i) create questions which require satisfying a constraint that is not mentioned i... | What was the name of the peaceful era between France and Germany? | 4 | NIv2 | task348_squad2.0_unanswerable_question_generation | zs_opt | [
0.5103298425674438,
1.2382986545562744,
-0.4753229320049286,
-0.14801053702831268,
-0.1646631360054016,
-0.34984147548675537,
0.9383144378662109,
0.5143612027168274,
0.24578231573104858,
0.14064154028892517,
-0.5182317495346069,
0.14620116353034973,
-1.2563421726226807,
-0.1232128664851188... |
Detailed Instructions: In this task, you need to answer basic science questions. For each question, several terms are intentionally masked with ***. This masking can cover very few or many of the question words. Clearly, if masked terms are important, the modified question will be impossible to answer. Please indicate ... | E. | 8 | NIv2 | task043_essential_terms_answering_incomplete_questions | zs_opt | [
0.23066139221191406,
0.6351302862167358,
-0.2541784942150116,
-1.0754057168960571,
-1.0588382482528687,
-0.9868994951248169,
0.8981252312660217,
0.749748706817627,
-0.245508074760437,
-0.12808971107006073,
-0.25103139877319336,
-0.6153952479362488,
-0.6576471328735352,
-0.10680136829614639... |
In this task, you are given a sentence from the Bible in Persian, and your task is to translate it into English.
Example: در ابتدا، خدا آسمانها و زمین را آفرید.
Example solution: In the beginning God created the heaven and the earth.
Example explanation: This is a good example. The above sentence is correctly translate... | Solution: Neither shalt thou make marriages with them; thy daughter thou shalt not give unto his son, nor his daughter shalt thou take unto thy son. | 5 | NIv2 | task654_bible_fa_en_translation | fs_opt | [
-0.4961355924606323,
1.6129094362258911,
-0.6319901943206787,
-0.027835078537464142,
-0.9025989770889282,
-0.5266129970550537,
0.7763553857803345,
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0.5425747036933899,
0.03998345136642456,
-0.7849889993667603,
0.8640104532241821,
-0.8526570796966553,
-0.24985729157924652... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
E en Seattle decidiron empregala para que os cidadáns limpasen os sumidoiros atascados.
Output: | シアトルでは雨水の配水管の詰まりを直してもらうのに使おうと決めました | 1 | NIv2 | task1239_ted_translation_gl_ja | zs_opt | [
-0.8145440220832825,
0.27224159240722656,
0.12761521339416504,
-0.5612747073173523,
0.3845689296722412,
-0.4953725337982178,
0.4841151535511017,
0.15344484150409698,
-0.3721514046192169,
-0.2888873219490051,
0.02693481743335724,
0.24279960989952087,
-0.340486615896225,
0.26163333654403687,... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
Example Input: אם אנחנו רוצים לעסוק באופן פוליטי בפתרון-סכסוכים אם אנחנו מתעדים להבין את הקבוצות החדשות האלה אשר באות מלמטה-למעלה, בסיוע טכנולוגיה, שזמינה לכולם, אנו הדיפלומטים איננו יכולים לשבת בחיבוק ידיים במסיבות ולהאמין ... | Para terminar, me gustaría decir, ayudemos todos a que África camine erguida y hacia adelante, así todos podremos estar orgullosos de nuestra futura herencia como especie.
| 3 | NIv2 | task1236_ted_translation_he_es | fs_opt | [
-0.4905247986316681,
0.4845000207424164,
-0.11152510344982147,
-0.21834847331047058,
-0.48306310176849365,
-0.5368066430091858,
0.6397927403450012,
0.43013834953308105,
0.3116197884082794,
-0.19616656005382538,
-0.17830970883369446,
0.9003680944442749,
-0.4374273419380188,
0.04994171857833... |
Teacher:In this task, you are given a sentence in English, and your task is to translate it into Persian.
Teacher: Now, understand the problem? Solve this instance: what you doing? don't connect with him.
Student: | چي كار ميكني؟ باهاش صميمي نشو | 6 | NIv2 | task658_tep_en_fa_translation | zs_opt | [
-0.25574809312820435,
0.31792208552360535,
0.564991295337677,
-0.6467533111572266,
-0.5522303581237793,
-0.034190669655799866,
0.6516210436820984,
0.4534311294555664,
0.3680584132671356,
0.39710837602615356,
0.2835689187049866,
0.07995502650737762,
-0.19654226303100586,
-1.0951671600341797... |
You will be given two pieces of text with the same meaning. One of them is simpler and easier to understand for non-native English speakers. Complex texts may contain more difficult words, have unnecessary phrases or contain long sentences. Your task is to choose the simpler piece of text. You are expected to output 'T... | Text two | 0 | NIv2 | task112_asset_simple_sentence_identification | zs_opt | [
-1.0960209369659424,
0.382449209690094,
0.1471559703350067,
-0.2576538026332855,
-0.10595385730266571,
-0.7844301462173462,
0.5041676759719849,
0.7564853429794312,
-0.24559728801250458,
-0.06629548221826553,
-0.21077392995357513,
-0.2915716767311096,
-0.5943189263343811,
0.2363536655902862... |
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: A list is presen... | [231, 9] | 9 | NIv2 | task374_synthetic_pos_or_neg_calculation | fs_opt | [
-0.5532582998275757,
0.5501630902290344,
-0.09012138843536377,
-0.2660985291004181,
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-0.42715734243392944,
1.2561765909194946,
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-0.3629070818424225,
0.22799444198608398,
-0.5878679752349854,
0.3734486699104309,
-0.5533210039138794,
-0.4357737302780151... |
Teacher:You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish.
Teacher: Now, understand the problem? Solve this instance: また技術的なものと思った人類の課題が必ずしもそうではないこともあります
Student: | Czasem duże problemy, które wyglądają na techniczne, mają inny charakter. | 6 | NIv2 | task1097_ted_translation_ja_pl | zs_opt | [
-0.27429908514022827,
0.47382792830467224,
0.18427877128124237,
-0.7044268846511841,
-0.13242778182029724,
-0.7856574058532715,
0.3093533515930176,
-0.15224039554595947,
-0.2297060489654541,
-0.06916933506727219,
-0.10635294765233994,
-0.06159210577607155,
-0.13270512223243713,
-0.10226771... |
Detailed Instructions: In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. There are several possible answers, you'll need to choose the proper one. Carefully read the... | OTHER | 9 | NIv2 | task304_numeric_fused_head_resolution | zs_opt | [
-0.32365795969963074,
0.6962888240814209,
-0.18759921193122864,
0.1560700684785843,
-0.010993658564984798,
-0.33144617080688477,
1.251781702041626,
0.8502061367034912,
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0.38266193866729736,
-0.38803619146347046,
0.5449498891830444,
-0.5614509582519531,
0.547647297382354... |
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.
Sentence: 'a lamp is next to a white table with pretty flowers on it'. Remove all words of length '7' in the given sentence. | a lamp is next to a white table with pretty on it | 0 | NIv2 | task377_remove_words_of_given_length | zs_opt | [
0.12334103882312775,
0.4539951980113983,
-0.12988007068634033,
-0.8314107060432434,
-0.15546554327011108,
-0.5337458848953247,
-0.2771925926208496,
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-0.7289351224899292,
-0.3378508388996124,
-0.6616473197937012,
0.094781398773193... |
In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to arrange the sentences in order to make a story that makes complete sense and is apt for the title. Indicate your answer using the number of the sentences in order, such as '34152'.
Q: Title: Cranberry Sauc... | 21543 | 4 | NIv2 | task217_rocstories_ordering_answer_generation | zs_opt | [
-0.10721075534820557,
0.49365895986557007,
0.37178540229797363,
-0.42702823877334595,
0.3260529637336731,
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0.34958404302597046,
0.5165156126022339,
-0.5867259502410889,
-0.11999505758285522,
-0.3545593023300171,
-0.8992236256599426,
-0.7926499843597412,
0.131220579147338... |
Detailed Instructions: In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each ci... | (B) | 8 | NIv2 | task268_casehold_legal_answer_generation | zs_opt | [
0.4039701223373413,
0.2947216033935547,
-0.47677236795425415,
-0.02436492033302784,
-0.000672047957777977,
-0.9402438998222351,
0.016633791849017143,
1.20992112159729,
-0.17015528678894043,
0.04641469568014145,
-0.4982350468635559,
0.13531707227230072,
-0.6091880202293396,
-0.1581818461418... |
Given the task definition and input, reply with output. 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 find all elements of A from the ith element to the jth element, reverse the order in which they occur, and then concatenate them to output the resultant string.... | 7415ZoT | 5 | NIv2 | task101_reverse_and_concatenate_all_elements_from_index_i_to_j | zs_opt | [
0.2051006257534027,
0.499193012714386,
-0.29781869053840637,
-0.32303982973098755,
-0.004875364247709513,
0.044220663607120514,
0.4492857754230499,
-0.007522911299020052,
0.06318113207817078,
0.14288756251335144,
-1.033156156539917,
-0.08427989482879639,
-0.08225344121456146,
-0.2909585833... |
Given the task definition and input, reply with output. Based on the given context, craft a common-sense question, especially those that are LONG, INTERESTING, and COMPLEX. The goal is to write questions that are easy for humans and hard for AI machines! To create such questions, here are some suggestions: A. What may ... | What is the reason that the line for the ice cream store is so incredibly long that it stretches straight out the door ? | 5 | NIv2 | task023_cosmosqa_question_generation | zs_opt | [
0.31001681089401245,
0.0979636162519455,
0.1933394819498062,
0.35714155435562134,
-0.028845781460404396,
0.3735327124595642,
-0.07317838817834854,
0.7073049545288086,
-0.069000244140625,
0.45544493198394775,
-0.5441849231719971,
-0.01650836318731308,
-0.266921728849411,
0.1616508960723877,... |
Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so the users can decide to read the main text or not.
Q: I feel like a bit of ... | taking a lunch break
****
| 4 | NIv2 | task500_scruples_anecdotes_title_generation | fs_opt | [
0.3774149417877197,
0.18727073073387146,
-0.49505558609962463,
-0.6398917436599731,
0.16751109063625336,
-0.3026065230369568,
1.2076060771942139,
0.8596140146255493,
-0.24935293197631836,
-0.27676430344581604,
0.05944473668932915,
0.5799301862716675,
-0.7431475520133972,
0.2923357486724853... |
Definition: We would like you to assess the QUALITY of each of the following argument (discussing Gay Marriage) 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 gay... | Valid | 2 | NIv2 | task148_afs_argument_quality_gay_marriage | zs_opt | [
0.3344651162624359,
0.47764551639556885,
0.2972533106803894,
0.02093537524342537,
-0.21026629209518433,
-1.4639431238174438,
0.2690688967704773,
0.08295297622680664,
0.4479462504386902,
0.01940038800239563,
-0.6211192607879639,
0.10810540616512299,
-0.5033160448074341,
-0.0948680192232132,... |
In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the correct sub... | True
| 7 | NIv2 | task1187_politifact_classification | fs_opt | [
-0.04875962436199188,
0.8294674754142761,
-0.15017279982566833,
0.011016326025128365,
-0.7360703349113464,
-0.24246180057525635,
0.5568357706069946,
0.25724053382873535,
0.39757823944091797,
0.04553019255399704,
0.3375348746776581,
0.5264205932617188,
-0.3341473937034607,
-0.19724962115287... |
In this task you will be given a claim and a perspective. You should determine whether that perspective supports or undermines the claim. If the perspective could possibly convince someone with different view, it is supporting, otherwise it is undermining.
Input: Consider Input: claim: Compensation should be paid for ... | Output: support
| 2 | NIv2 | task738_perspectrum_classification | fs_opt | [
-0.9217746257781982,
0.6658663749694824,
0.20333749055862427,
0.07150977849960327,
0.05822483450174332,
-0.2914542555809021,
0.8053710460662842,
0.5378081798553467,
0.18628524243831635,
-0.13366834819316864,
-0.3633118271827698,
-0.17691826820373535,
-0.5896323919296265,
0.2423198819160461... |
Instructions: In this task, you are given a sentence which is either in the Gujarati language or English language. You task is to identify the language of input sentence. Input sentence can be in Gujarari or English language only and also it cannot have two languages at a time.
Input: વાદળી મોટરબાઈક પર એક માણસ અને એક સ... | Gujarati | 3 | NIv2 | task441_eng_guj_parallel_corpus_gu-en_language_identification | zs_opt | [
-0.08447414636611938,
0.32716643810272217,
0.10377593338489532,
-0.04952707886695862,
0.08716416358947754,
-0.6593366265296936,
0.39939960837364197,
-0.016810160130262375,
0.24382366240024567,
-0.4610016345977783,
-0.7162905335426331,
-0.3706137537956238,
0.21256637573242188,
-0.2801727652... |
In this task, you are given text for US Congressional and California state bills, your task is to generate a summary for this bill.
Input: Consider Input: SECTION 1. ENERGY ASSISTANCE FUND.
(a) Definitions.--In this section:
(1) Fund.--The term ``Fund'' means the Energy Assistance
Fund establ... | Output: Middle Class Tax Relief Act of 1998 - Amends the Internal Revenue Code to revise the tax imposed and increase the 15 percent tax bracket for joint returns and surviving spouses, heads of households, other unmarried individuals, married individuals filing separately, and estates and trusts.
| 2 | NIv2 | task1658_billsum_summarization | fs_opt | [
0.46713635325431824,
0.1727496236562729,
0.05585058778524399,
-0.2534796893596649,
0.5201823115348816,
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1.2958643436431885,
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0.5546241998672485,
-0.5166081190109253,
0.07946209609508514,
-... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish.
後に生物学の授業でこれは変性と呼ばれる現象でタンパク質が変形して化学的性質を失うのだと知りました
Output: | Później na lekcji biologii, dowiedziałam się, że odpowiedzialny jest za to proces denaturacji, w którym zmienia się struktura białka, powodując utratę jego właściwości. | 1 | NIv2 | task1097_ted_translation_ja_pl | zs_opt | [
-0.15883488953113556,
0.4809337258338928,
-0.1406497210264206,
0.0012386749731376767,
-0.9127627611160278,
-0.04178180545568466,
0.745197057723999,
0.20411014556884766,
-0.05503325164318085,
-0.4233149290084839,
-0.23094592988491058,
-0.2292204201221466,
-1.0480210781097412,
0.467104256153... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
עבור העבודה הזו, שנה שעברה, אריק בטזיג זכה בפרס הנובל. | For this work, last year, Eric Betzig won the Nobel Prize. | 0 | NIv2 | task1234_ted_translation_he_en | zs_opt | [
-0.7512168288230896,
0.3982928991317749,
0.5489319562911987,
0.4552695155143738,
0.27099934220314026,
-0.5754841566085815,
0.48103898763656616,
-0.7528784275054932,
0.9593065977096558,
-0.3723868131637573,
-0.0898459404706955,
0.26509541273117065,
-0.9769604206085205,
0.0691063404083252,
... |
Definition: 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 a... | physical activity | 2 | NIv2 | task143_odd-man-out_classification_generate_category | zs_opt | [
0.11498606204986572,
0.040565360337495804,
-0.7417339086532593,
-0.05018302798271179,
0.197881281375885,
-0.04703179746866226,
0.06572556495666504,
0.20017363131046295,
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0.062421295791864395,
-0.46457499265670776,
0.13903209567070007,
-0.45904600620269775,
-0.45098578929... |
TASK DEFINITION: In this task you are expected to provide an SQL statement from an english description of what that SQL statement does. The description may include multiple steps but you should only ouput one SQL statement that accomplishes every step. An SQL query works by selecting data from a table where certain con... | SELECT Count ( * ) FROM airports WHERE AirportName = "Ashley" AND City = "Aberdeen"
| 8 | NIv2 | task077_splash_explanation_to_sql | fs_opt | [
0.9653192758560181,
0.44298309087753296,
-1.2440452575683594,
0.7259341478347778,
0.021281860768795013,
-0.12924733757972717,
0.8128143548965454,
0.9461849927902222,
-0.25433090329170227,
0.31781333684921265,
0.043980859220027924,
0.2749997079372406,
-0.2209111452102661,
0.4199640154838562... |
Q: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Portugese.
لم نكن نعرف لما يقرب من 40 عاماً حتى جاء "" فرانك نيلسون كول "".
A: | Não soubemos durante quase 40 anos, até que apareceu o Frank Nelson Cole. | 7 | NIv2 | task1109_ted_translation_ar_pt | zs_opt | [
-1.0544257164001465,
0.5875425338745117,
0.49772191047668457,
-0.1605311632156372,
-0.4434664249420166,
0.3456786870956421,
0.6928321123123169,
0.4300558865070343,
0.7962782382965088,
0.21382322907447815,
0.20416945219039917,
0.2186102569103241,
-1.4357163906097412,
0.1872263252735138,
0... |
Part 1. Definition
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 expresse... | Positive | 7 | NIv2 | task421_persent_sentence_sentiment_classification | fs_opt | [
-0.7860234975814819,
-0.2701282799243927,
0.33711689710617065,
0.19350694119930267,
0.32424527406692505,
-0.8626587390899658,
0.49095219373703003,
0.4854266047477722,
0.4619408845901489,
0.17698924243450165,
-0.3132179379463196,
0.11450627446174622,
-0.11404071748256683,
-0.559987306594848... |
Teacher:In this task, you are given an input list A. You need to extract and sort the unique digits used in the list in ascending order. Return -1 if there is no digit in the list.
Teacher: Now, understand the problem? Solve this instance: ['y', 'd', '241', 'j']
Student: | 1, 2, 4 | 6 | NIv2 | task637_extract_and_sort_unique_digits_in_a_list | zs_opt | [
-0.4239763021469116,
0.2293606698513031,
-0.5196027755737305,
-0.4375060796737671,
0.0577000267803669,
0.5560100078582764,
0.8191952705383301,
0.3196306824684143,
-0.4267631769180298,
0.02005632594227791,
-0.3444233536720276,
-0.3173259496688843,
-1.1860191822052002,
-0.7260313034057617,
... |
Detailed Instructions: In this task, you will be given a passage, a question and a list of single-word events identified from the passage. The goal is to point out all events from the given event list that can answer the question. If a question is unanswerable or none of the events answer the question, output should be... | 4 | NIv2 | task390_torque_text_span_selection | fs_opt | [
0.3102111518383026,
-0.06271626055240631,
-0.2637104392051697,
-0.28759658336639404,
0.4447801113128662,
-0.12611472606658936,
-0.04806225001811981,
0.2336614429950714,
-0.2647097408771515,
0.2655808925628662,
-0.4211525022983551,
-0.09740157425403595,
0.33096766471862793,
-0.0024657342582... | |
TASK DEFINITION: You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi.
PROBLEM: Solo lui era connesso direttamente al suo pubblico e si basava sui feedback e sull'entusiasmo che riceveva.
SOLUTION: فقط خودش بود که مستقیما با مخاطب ارتباط داشت و بر اساس فیدبک و علاقمندی که از او... | یه بار اون منو بین ورودی A و B کشید که بخش شمالی و جنوبی بند ما رو جدا میکرد.
| 8 | NIv2 | task1254_ted_translation_it_fa | fs_opt | [
-0.3360211253166199,
0.031713299453258514,
-0.12903982400894165,
0.1461096704006195,
-0.5338150262832642,
0.263266921043396,
0.8412442207336426,
0.3779594600200653,
-0.11352890729904175,
-0.039199501276016235,
-0.7391984462738037,
-0.096061110496521,
-0.37271103262901306,
0.595876991748809... |
Read the given text and if it has abusive content then indicate via "yes". Otherwise indicate via"no".
We consider the content to be abusive if it contains any of the following instances: (1) Identity Directed Abuse (e.g., Content which contains a negative statement made against an identity. An identity is a social ca... | yes | 4 | NIv2 | task108_contextualabusedetection_classification | zs_opt | [
-0.16927257180213928,
0.09339730441570282,
0.1349784880876541,
0.08487343043088913,
-0.4503902792930603,
-0.8994113206863403,
0.9635382294654846,
0.17807719111442566,
-0.08690590411424637,
0.41637182235717773,
0.27740776538848877,
-0.6442556381225586,
-0.7805254459381104,
-0.65960913896560... |
Definition: In this task, you're given a context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only one of the three answer options is correct. Pick one of the two incorrect answer options as the output.
Input:... | C | 2 | NIv2 | task385_socialiqa_incorrect_answer_generation | zs_opt | [
-0.0937516838312149,
0.4875198304653168,
-0.10269304364919662,
0.3126126527786255,
0.09397329390048981,
0.28764015436172485,
0.29393938183784485,
0.5897679328918457,
-0.019034454599022865,
0.1620386838912964,
-1.006784200668335,
-0.015185742639005184,
0.11192278563976288,
-0.51438254117965... |
Detailed Instructions: In this task, find the most appropriate number to replace the blank (indicated with _ ) and express it in words.
Problem:Chives grow like small onions with leaves about _ inches tall.
Solution: | six | 8 | NIv2 | task672_nummersense | zs_opt | [
0.2156461477279663,
0.7646931409835815,
-0.44690945744514465,
-0.20656725764274597,
-0.15645906329154968,
0.07913850247859955,
0.5641078948974609,
0.821571946144104,
-0.2866007387638092,
-0.8908536434173584,
-0.25926122069358826,
-0.33565789461135864,
-1.265023946762085,
0.6719245910644531... |
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.
One example: 7
Solution is here: Yes
Explanation: 7 is a prime number as it has no factors greater than 1. So, it can'... | Yes | 6 | NIv2 | task092_check_prime_classification | fs_opt | [
-0.40098875761032104,
1.2048444747924805,
0.043314628303050995,
-0.11945950239896774,
0.0035097431391477585,
-0.226753830909729,
0.908340573310852,
1.055929183959961,
0.537006676197052,
-0.24669277667999268,
-0.3404030501842499,
0.0229326244443655,
-0.609794020652771,
-0.004214290529489517... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Japanese.
Let me give you an example: ما آواز خوندیم ، و خوندیم ، آواز خونديم ، و بطور شگفت انگیزی اعتماد جدید رشد کرد ، و درواقع دوستی شکوفه زد.
The answer to this example can be: 私たちはただひたすら歌い続けましたすると驚くことに信頼が芽生え友情が花開いたのです
Here is wh... | Perlは有名なプログラミング言語ですこれでわかるのは多様なプログラマーがどうファイルを交換しプロジェクトで協力し合っているかです | 8 | NIv2 | task1266_ted_translation_fa_ja | fs_opt | [
-0.13167208433151245,
1.4282755851745605,
-0.05350133404135704,
-0.36507704854011536,
-0.7912037372589111,
0.0047141616232693195,
1.0925874710083008,
0.2648544907569885,
-0.09661436825990677,
-0.5717251300811768,
-0.9803600311279297,
-0.023911524564027786,
-0.6684092283248901,
0.4287828803... |
Detailed Instructions: A text is given in Gujarati. Translate it from the Gujarati language to the Tamil language. The translation must not omit or add information to the original sentence.
Problem:હું પણ ક્યારેક પાછળ વળીને જોઉં છું તો મને પણ ઘણું મોટું આશ્ચર્ય થાય છે.
Solution: | புதிய கருத்தூக்கம், உற்சாகத்தின் புதிய சிகரங்களுக்கு இந்த நாட்டை வழிநடத்திக் கொண்டிருக்கும். | 8 | NIv2 | task1063_pib_translation_gujarati_tamil | zs_opt | [
-0.5155523419380188,
0.5711446404457092,
0.2155090868473053,
0.46810922026634216,
-0.3286321759223938,
-0.8957894444465637,
0.5785295367240906,
0.048475608229637146,
-0.6458431482315063,
-0.21761825680732727,
-0.48971137404441833,
-0.28815531730651855,
-1.4222034215927124,
0.78454077243804... |
Q: In this task you are given a list of numbers and you need to find the average of each two consecutive values. The average of two numbers a and b is calculated as: (a + b) /2. The output should be a list of the averages of each two consecutive values. A list is presented with two brackets and comma-separated values, ... | [-11.0, -42.0, -13.0] | 7 | NIv2 | task124_conala_pair_averages | zs_opt | [
-0.7262803912162781,
0.22213101387023926,
-0.7862147688865662,
-0.3327464759349823,
0.03958674520254135,
-0.17630332708358765,
0.7838975787162781,
0.28182345628738403,
-0.035085469484329224,
-0.3299405574798584,
-0.42766404151916504,
-0.2850136160850525,
-0.16571654379367828,
0.47314277291... |
Q: 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... | No | 7 | NIv2 | task1196_atomic_classification_oeffect | zs_opt | [
0.07972964644432068,
0.4926057457923889,
0.4446956515312195,
-0.4591381549835205,
-0.447551965713501,
-0.8860846757888794,
1.0841599702835083,
0.3089354634284973,
-0.5827924609184265,
-0.5263184309005737,
-0.2517184913158417,
-0.22527609765529633,
-0.5624668002128601,
0.1449871063232422,
... |
Detailed Instructions: In this task you are given a tweet. You must judge whether the author of the tweet is sad or not. Label the instances as "Sad" or "Not sad" based on your judgment. You can get help from hashtags and emojis, but you should not judge only based on them, and should pay attention to tweet's text as w... | Sad | 4 | NIv2 | task399_semeval_2018_task1_tweet_sadness_detection | fs_opt | [
-0.87174391746521,
0.10230863094329834,
0.5847926139831543,
0.17068257927894592,
0.136112242937088,
-0.8697637915611267,
0.5436784029006958,
0.5944303274154663,
0.035754092037677765,
0.6761187314987183,
-0.31973910331726074,
-0.6072782278060913,
-0.6501387357711792,
0.20731234550476074,
... |
This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) its answer is a continuous text span from the paragraph. Avoid creati... | In what period did Africa beak off from Antarctica?
| 7 | NIv2 | task074_squad1.1_question_generation | fs_opt | [
0.9089993834495544,
0.42102089524269104,
-0.776627779006958,
0.23491226136684418,
0.26119720935821533,
-0.06909458339214325,
1.0833780765533447,
0.3364728093147278,
0.1250799298286438,
-0.01178761851042509,
0.4461933970451355,
0.285647451877594,
-0.9911394119262695,
0.17266623675823212,
... |
Turn the given fact into a question by a simple rearrangement of words. This typically involves replacing some part of the given fact with a WH word. For example, replacing the subject of the provided fact with the word "what" can form a valid question. Don't be creative! You just need to rearrange the words to turn th... | What are formed when acid dissolves limestone creating a liquid?
| 5 | NIv2 | task040_qasc_question_generation | fs_opt | [
0.9713653922080994,
0.5596937537193298,
-0.04128548502922058,
-0.28721779584884644,
-0.7015311121940613,
-0.7946863174438477,
0.4211794137954712,
1.0504767894744873,
-0.049912597984075546,
-0.6465007066726685,
-0.7979592084884644,
0.09401468932628632,
-0.8547961711883545,
-0.25323748588562... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Portugese.
اگه بخوام در طیف مشخصی قرارش بدم ، باید بگم یه جایی بین شعر و دروغ هست. | Se eu tivesse de colocá-la num espectro arbitrário, diria que se situa algures entre a poesia e as mentiras. | 0 | NIv2 | task1273_ted_translation_fa_pt | zs_opt | [
-0.9321761131286621,
0.743262767791748,
0.22872838377952576,
-0.5071461200714111,
-0.8543145656585693,
-0.43655502796173096,
0.44246989488601685,
-0.09478413313627243,
0.6887383460998535,
-0.5634797215461731,
-1.1567401885986328,
0.06157877668738365,
-0.41127413511276245,
0.161948144435882... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
This task involves creating questions from a given passage that involve some kind of complex reasoning (including numerical reasoning).
The generated questions must require looking at more than one ... | Approxiamately how many European military personnel were not disabled, injured or killed? | 0 | NIv2 | task026_drop_question_generation | fs_opt | [
0.8421075344085693,
0.4600358009338379,
-0.08351236581802368,
-0.399159699678421,
0.562600314617157,
-0.5377037525177002,
1.0656338930130005,
0.7285521030426025,
0.20373304188251495,
0.2107231616973877,
-0.41523313522338867,
0.2884024381637573,
-1.0351758003234863,
0.3575346767902374,
-0... |
In this task you're given a question and you have to paraphrase the question to create the output question while retaining the meaning of the original question.
One example: What can one do after MBBS?
Solution is here: What do i do after my MBBS ?
Explanation: In this example both the question ask the same thing about... | How do I fix the "invitation" problem in Facebook messenger? | 6 | NIv2 | task1345_glue_qqp_question_paraprashing | fs_opt | [
-0.26704180240631104,
0.948853611946106,
-0.38703322410583496,
-0.6278161406517029,
-0.488017201423645,
-0.05633246526122093,
1.2646868228912354,
-0.37950366735458374,
0.5068392753601074,
0.1698908656835556,
-0.2372061014175415,
0.4030612111091614,
-0.36181706190109253,
0.40368935465812683... |
TASK DEFINITION: Given a part of privacy policy text, identify the type of personal information which is collected, used, tracked or retained. The type of information should be present inside the given policy text, answer as 'Not Specified' otherwise
PROBLEM: An unnamed third party does receive your unspecified persona... | Demographic
| 8 | NIv2 | task684_online_privacy_policy_text_information_type_generation | fs_opt | [
-0.3337053060531616,
-0.1670176386833191,
-0.7157829403877258,
-0.004813200328499079,
-0.6503298282623291,
-0.5612625479698181,
0.638542652130127,
0.04848179966211319,
-0.06834940612316132,
0.9162417054176331,
0.2969154119491577,
0.10478579252958298,
-0.437152624130249,
-0.5419560670852661... |
Given the task definition and input, reply with output. In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There ar... | (D) | 5 | NIv2 | task268_casehold_legal_answer_generation | zs_opt | [
-0.19632913172245026,
-0.016779696568846703,
-0.20043990015983582,
0.4447755217552185,
-0.07689051330089569,
-0.9480355978012085,
-0.47222694754600525,
1.2422616481781006,
-0.24967679381370544,
-0.5609621405601501,
-0.8255741596221924,
0.201878622174263,
-0.4747112989425659,
-0.06062525510... |
Instructions: In this task, you are given an input list A. You need to convert all the alphabets in the list with a number representing their position in the English alphabet. E.g., replace A by 1, B by 2, a by 1, b by 2, and so on.
Input: ['i', 'W', 'h', '9029', '799', '8621', '1439', 'L', '8033', 'p', 'r', '1891', 'e... | 9, 23, 8, 9029, 799, 8621, 1439, 12, 8033, 16, 18, 1891, 5, 1471, 7653, 12, 6837, 5, 189, 8815, 5439, 7875, 2741, 4849, 20, 2689, 7107, 959, 8289, 3927, 18, 8347, 21, 8263, 1, 9, 16, 19, 7893, 24 | 3 | NIv2 | task622_replace_alphabets_in_a_list_by_their_position_in_english_alphabet | zs_opt | [
-0.41543275117874146,
0.21195904910564423,
0.26514217257499695,
-0.30592262744903564,
-0.13491982221603394,
-0.5642868280410767,
-0.10185214877128601,
0.16507643461227417,
-0.47218477725982666,
-0.08765339106321335,
-0.5043819546699524,
-0.013608157634735107,
0.2498137652873993,
-0.5152072... |
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 to not connect with the rest of the story. Ensure that the generated sentence is contextually relevant to the story.
One example is below.
Q: Title: Marcus Buys Khakis. Sentenc... | It was a good balance as no one knew her online. | 9 | NIv2 | task215_rocstories_incorrect_answer_generation | fs_opt | [
-0.32716280221939087,
1.0375070571899414,
0.008513038977980614,
-0.08588378131389618,
-0.46685677766799927,
0.11030661314725876,
0.6421880125999451,
0.7072098255157471,
0.12750078737735748,
-0.11922615766525269,
-1.0112597942352295,
-0.23492884635925293,
-0.27593809366226196,
0.26529383659... |
Given a sentence in the Thai, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Ex Input:
ในวันอังคารที่ 1 สิงหาคม 2006 ตามรายงานของ The Weather Chanel อุณหภูมิสูงสุดในนครนิวยอร์กจะอยู่ที่ระดับ 98 องศาฟาเรนไฮต์ในสวนเซ็นทรัลปาร์ค ... | 落書きアーティストとストリートアーティストの集団が集まって、今、一致団結し、似ている落書き広告を荒らしている。
| 1 | NIv2 | task1128_alt_th_ja_translation | fs_opt | [
-0.6057438850402832,
-0.31491410732269287,
-1.0444761514663696,
0.3492155075073242,
-0.5819648504257202,
-0.5008628368377686,
-0.06548142433166504,
0.6068719029426575,
-0.22187760472297668,
0.1387374997138977,
0.1520797610282898,
0.7009209394454956,
-0.8686196208000183,
0.48070818185806274... |
You will be given a definition of a task first, then some input of the task.
Generate a correct and concise answer for the question based on the words in the context.
Context : Middle East Airlines Flight 438 a Boeing 720B, callsign CEDAR JET 438, was en route from Beirut to Abu Dhabi on 1 January 1976 when a bomb exp... | 1 January 1976 | 1 | NIv2 | task1327_qa_zre_answer_generation_from_question | zs_opt | [
0.08303281664848328,
0.5904605984687805,
0.18337103724479675,
-0.034024011343717575,
0.7358056306838989,
0.6268537044525146,
-0.5822076201438904,
0.1729331612586975,
0.6580573916435242,
-0.4656965434551239,
-0.21218284964561462,
0.8169828653335571,
-0.5927224159240723,
-0.01561959367245435... |
You will be given a definition of a task first, then some input of the task.
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.
Hardware didn’t eve... | 2 | 1 | NIv2 | task1310_amazonreview_rating_classification | zs_opt | [
-0.7712125778198242,
-0.1438557505607605,
-0.15592637658119202,
0.38338056206703186,
0.8036777973175049,
0.5476682186126709,
0.33853983879089355,
0.6875232458114624,
-0.04152069613337517,
0.5014281272888184,
-0.05151357129216194,
0.3067636489868164,
-0.21717453002929688,
-0.004363910295069... |
In this task, you will be given two sentences separated by ", so". You should decide whether the first sentence can be the cause of the second sentence. If you can see a possible causation, answer with "plausible", otherwise answer with "not plausible".
Example input: The woman went to the bank, so pigs can fly.
Examp... | plausible | 3 | NIv2 | task391_causal_relationship | fs_opt | [
-0.7401288747787476,
0.5696064233779907,
0.16822406649589539,
-0.39917516708374023,
0.11275434494018555,
-0.8832315802574158,
0.041533734649419785,
0.8238891363143921,
0.39927172660827637,
0.08148723840713501,
-0.40979886054992676,
0.392499715089798,
-0.552953839302063,
-0.4651986360549927... |
Given the task definition and input, reply with output. Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast', 'biology', 'people'... | base | 5 | NIv2 | task900_freebase_qa_category_classification | zs_opt | [
-0.2807123064994812,
0.6261739730834961,
0.30332088470458984,
-0.4282469153404236,
0.33074161410331726,
-0.05122189223766327,
0.2739085257053375,
0.3584740161895752,
0.10954925417900085,
-0.262504518032074,
-0.2995659112930298,
-0.06976260244846344,
-0.40590256452560425,
-0.420166313648223... |
In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given two options and you need to select the one that best connects the first sentence with the rest of the story. Indicate your answer by 'Option 1' if the first option is correct, otherwise 'Optio... | Option 2
****
| 4 | NIv2 | task065_timetravel_consistent_sentence_classification | fs_opt | [
-0.5922545194625854,
0.5631986260414124,
-0.21618621051311493,
0.174220010638237,
-0.07036140561103821,
0.0366424098610878,
0.5830883979797363,
1.2305121421813965,
-0.19274181127548218,
0.3524664640426636,
-0.5515694618225098,
-0.8177422285079956,
-0.8421300649642944,
-0.4023370146751404,
... |
Given a sentence in the Japanese and Central Khmer language. Your task is check if the Khamer sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
[EX Q]: Japanese: 「ソニーとPSPはこの種のメディアを利用するあらゆる権利を持っている」とフロイド・ヘイズ、カニング・ワーク社の上級クリエイティブディレクターがワイアードニュースで話... | Yes
| 6 | NIv2 | task1123_alt_ja_khm_answer_generation | fs_opt | [
-0.09227848798036575,
-0.6164778470993042,
-0.17674291133880615,
0.11095714569091797,
0.5851573944091797,
-0.9573655128479004,
0.06625760346651077,
0.0130938570946455,
-0.19010214507579803,
-0.2556818425655365,
-0.2422686368227005,
0.4597306251525879,
-0.15044763684272766,
-0.1699108928442... |
Detailed Instructions: In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Problem:im sooooo bored ugh
Solution: | negative | 8 | NIv2 | task195_sentiment140_classification | zs_opt | [
-1.1412959098815918,
0.20607498288154602,
0.9427409172058105,
-0.22157610952854156,
0.876663327217102,
-0.9332079887390137,
-0.1720070093870163,
0.3702431321144104,
0.1602279543876648,
0.1757909059524536,
-0.6568506956100464,
-0.5624935626983643,
-0.19481123983860016,
-0.7063001990318298,
... |
In this task, you're given a review from Amazon and 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. Your task is to generate whether the rating matches the review or not. Answer with "True" if the sentence belongs to that... | True | 0 | NIv2 | task1311_amazonreview_rating_classification | zs_opt | [
-0.011584354564547539,
-0.21816366910934448,
0.0130199259147048,
-0.2490537017583847,
0.3128625452518463,
-0.5854243040084839,
0.9321701526641846,
0.5135629177093506,
-0.2888082265853882,
0.6298792958259583,
-0.7095787525177002,
0.10687078535556793,
-0.5627317428588867,
0.24552936851978302... |
In this task, you will be presented with the directions of a recipe separated by "," and have to fill in the "___" which is a step that is missing from the recipe.
Cook the balsamic vinegar in a small saucepan over low heat until thick, syrupy, and measuring 1/4 cup, about 20 minutes.,Set aside to cool.,Combine the ol... | Spoon the olive and parsley mixture over the tomatoes. | 0 | NIv2 | task572_recipe_nlg_text_generation | zs_opt | [
0.7247722744941711,
0.20826475322246552,
-0.20075500011444092,
0.9299993515014648,
0.4061722755432129,
-0.20958063006401062,
1.4702544212341309,
0.022771412506699562,
-0.3123476803302765,
-0.28742173314094543,
1.124222993850708,
-0.07895908504724503,
-0.9295647144317627,
0.4868586659431457... |
In this task, you are given a sentence in the Bulgarian language and corresponding English translation of this sentence. Here, your job is to generate label "yes" if translation is right, otherwise generate label "no".
Let me give you an example: Bulgarian: Състав на Парламента: вж. протоколи, English: Membership of P... | no | 8 | NIv2 | task273_europarl_classification | fs_opt | [
-0.43825289607048035,
0.4328763782978058,
0.5074926018714905,
0.4055536985397339,
0.19482475519180298,
-1.0744893550872803,
1.209308385848999,
0.23254910111427307,
0.3132392168045044,
-0.055356934666633606,
-0.2186204493045807,
0.6287660002708435,
-0.5538221597671509,
0.444722056388855,
... |
Q: In this task, you're given two sentences, sentence 1 and sentence 2, and the genre they belong to. Your job is to determine if the two sentences belong to the same genre or not. Indicate your answer with Y and N respectively. Genres available include: face-to-face, government, letters, 9/11, slate, telephone, travel... | N | 7 | NIv2 | task204_mnli_same_genre_classification | zs_opt | [
-0.9122552871704102,
0.6748836040496826,
0.11512891203165054,
-0.3157854676246643,
-0.10934939980506897,
0.07568209618330002,
0.04899625480175018,
0.19978348910808563,
0.07189895212650299,
0.017692657187581062,
-0.3333970010280609,
0.5828832387924194,
-0.8093715906143188,
-0.65460777282714... |
Q: In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update provides additional inf... | weakener | 7 | NIv2 | task935_defeasible_nli_atomic_classification | zs_opt | [
0.09786428511142731,
0.5924528241157532,
-0.19726884365081787,
-0.2878831624984741,
-0.03671673312783241,
-1.148667573928833,
1.2626056671142578,
1.048219919204712,
0.8532041907310486,
-0.6503466963768005,
-0.8024294972419739,
-0.30114614963531494,
-0.7503161430358887,
0.15420962870121002,... |
TASK DEFINITION: In this task, you will be given a passage, a question and a list of single-word events identified from the passage. The goal is to point out all events from the given event list that can answer the question. If a question is unanswerable or none of the events answer the question, output should be empty... | During
| 8 | NIv2 | task390_torque_text_span_selection | fs_opt | [
0.8035914897918701,
0.23257184028625488,
-0.5257818102836609,
0.04406362026929855,
-0.3185763359069824,
0.20036670565605164,
0.13525958359241486,
0.48492252826690674,
0.11685915291309357,
0.44413796067237854,
0.3013753890991211,
0.938345193862915,
-0.13883152604103088,
-0.01254352554678917... |
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.
My one star is for the service but not the phone itself, as I still think the phone is a great p... | 1 | 0 | NIv2 | task1310_amazonreview_rating_classification | zs_opt | [
-0.12426388263702393,
0.1777261197566986,
-0.7147268652915955,
-0.7444955110549927,
0.7350956201553345,
-0.14069879055023193,
0.5650839805603027,
0.942891001701355,
-0.40827739238739014,
0.3418845534324646,
-0.6550690531730652,
-0.003900540294125676,
-0.658622682094574,
-0.0060800360515713... |
In this task, you are given a sentence in Spanish and your task is to translate it into English. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
[EX Q]: Señor Presidente, señora Comisaria, Señorías, el objetivo de poner a punto una estrategia para moderni... | To identify the EC's priority areas of support, account has to be taken of the Community's specific features in relation to the Member States and to international institutions.
| 6 | NIv2 | task531_europarl_es_en_translation | fs_opt | [
0.37576693296432495,
0.5090473890304565,
0.133195161819458,
-0.45956701040267944,
0.020211881026625633,
-0.5927798748016357,
0.33025890588760376,
0.8656349778175354,
0.025486672297120094,
0.3973311185836792,
-0.01359961461275816,
0.3021242022514343,
-0.4964311122894287,
-0.6987800598144531... |
Q: 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 det... | Yes | 7 | NIv2 | task1202_atomic_classification_xneed | zs_opt | [
0.3836650848388672,
0.27353188395500183,
0.4953300952911377,
-0.07260414958000183,
-0.9268761277198792,
-0.8307662010192871,
1.4128377437591553,
0.3970361053943634,
-0.61255943775177,
-0.5880985260009766,
-0.6682298183441162,
-0.2074008285999298,
-0.7322560548782349,
0.4158974289894104,
... |
In this task, you will be given a list of numbers. The goal is to divide all the numbers in the list by a constant such that the sum of the resulting list is 1. The output should be rounded to 3 decimals.
[EX Q]: [112.742, 102.138]
[EX A]: [0.525 0.475]
[EX Q]: [235.645, 93.873, -63.915, 64.148, 137.988, 64.743, 216.... | [ 0.279 -0.06 0.189 0.053 -0.085 0.402 -0.049 0.271]
| 6 | NIv2 | task093_conala_normalize_lists | fs_opt | [
-0.7076570987701416,
0.07164381444454193,
-0.984199047088623,
-1.1017022132873535,
0.005852165166288614,
0.6270596385002136,
0.321012943983078,
-0.2887251377105713,
-0.6164990663528442,
-0.09141361713409424,
-1.0054738521575928,
0.5398921966552734,
-0.14677606523036957,
-0.2253279685974121... |
Detailed Instructions: In this task, you are given a multiple-choice question and you have to pick the correct option. Answer with option indexes (i.e., "A", "B", "C", and "D").
Problem:What has a positive impact on body strength? (A) frequent physical contact (B) irregular body motion (C) decreased physical effort (D)... | D | 8 | NIv2 | task1286_openbookqa_question_answering | zs_opt | [
0.32647034525871277,
0.9072555303573608,
-0.8108478784561157,
-0.2207699567079544,
-0.39601728320121765,
-0.706102728843689,
1.013993501663208,
0.5201410055160522,
0.48596078157424927,
-0.3279072046279907,
-0.8286949396133423,
-0.47423142194747925,
-0.7399250268936157,
-0.45772573351860046... |
Given a sentence in Somali language, translate the sentence to English language keeping the meaning of the original sentence intact
Somali sentence: Alxumdu lilaah, Ilaah wuu jacayl iyo naxariis badanyahay, wuu jecel yahay inuu noo dambi dhaafo, 2 Peter 3:9; wuxuu noo sheegayaa, wuu noo dulqaataa, mana doonayo in qofn... | Thankfully, God is loving and merciful – eager to forgive us of our sins! 2 Peter 3:9 tells us, "…He is patient with you, not wanting anyone to perish, but everyone to come to repentance." God desires to forgive us, so He provided for our forgiveness. | 0 | NIv2 | task450_opus_paracrawl_so_en_translation | zs_opt | [
-0.44189268350601196,
1.1099144220352173,
0.23045164346694946,
-0.27769705653190613,
-0.5451686978340149,
-1.5181732177734375,
-0.022351961582899094,
0.08018690347671509,
0.401759535074234,
-0.14933082461357117,
-0.11644689738750458,
0.75026935338974,
-0.8370696306228638,
-0.14236083626747... |
Detailed Instructions: In this task, you will be presented with a question, and you have to write the part-of-speech tag for each word in the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Fo... | WRB JJ JJ NNS VBP RB IN DT NN IN NNP . | 4 | NIv2 | task345_hybridqa_answer_generation | fs_opt | [
0.3819047808647156,
0.20335066318511963,
-0.36677590012550354,
0.46285295486450195,
-0.31164664030075073,
-0.949212372303009,
0.9261336326599121,
0.4954473078250885,
-0.5210988521575928,
-0.09296728670597076,
-0.37048637866973877,
0.17021134495735168,
-0.0029145441949367523,
0.134369730949... |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Q: @ilovecinda don't get the swine flu!
A: | negative | 4 | NIv2 | task195_sentiment140_classification | zs_opt | [
-1.5132087469100952,
0.4758731722831726,
0.48538580536842346,
0.5733544230461121,
0.4302331805229187,
-0.63457190990448,
-0.29331156611442566,
0.6733059287071228,
0.3011876344680786,
0.531600296497345,
-0.49979546666145325,
-0.3163560628890991,
-0.6234698295593262,
-0.255818247795105,
-0... |
Based on the given context, craft a common-sense question, especially those that are LONG, INTERESTING, and COMPLEX. The goal is to write questions that are easy for humans and hard for AI machines! To create such questions, here are some suggestions: A. What may (or may not) be the plausible reason for an event? B. Wh... | What may be the reason for the man saying what he does ? | 9 | NIv2 | task023_cosmosqa_question_generation | fs_opt | [
0.4936356246471405,
0.30371344089508057,
-0.5153031349182129,
0.30877745151519775,
-0.3057034909725189,
-0.37486153841018677,
0.25799140334129333,
0.9549931287765503,
-0.012825955636799335,
0.16109612584114075,
-0.7276284694671631,
-0.036465343087911606,
-0.27197790145874023,
0.29652494192... |
Given the task definition and input, reply with output. You are given a sentence in Polish. Your job is to translate the Polish sentence into Japanese.
Robimy to, odkąd wynaleziono reakcję łańcuchową polimerazy (metodę PCR) i syntetyzujemy małe łańcuchy DNA.
| PCR法を行い、小さなDNAの断片を合成するようになったときから、我々は既にそうしているのです | 5 | NIv2 | task1257_ted_translation_pl_ja | zs_opt | [
-1.143357276916504,
0.6226483583450317,
-0.06422388553619385,
-0.26982489228248596,
-0.554497480392456,
0.12493818998336792,
0.8272525072097778,
0.028235234320163727,
0.447055846452713,
-0.20577362179756165,
-0.20541569590568542,
0.6697092056274414,
-0.6362611055374146,
0.44769930839538574... |
Teacher:In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same length that is the largest across all words in that sentence.
Teacher: Now... | No | 6 | NIv2 | task114_is_the_given_word_longest | zs_opt | [
-0.17526336014270782,
0.7609044313430786,
0.36788082122802734,
0.07309141010046005,
-0.4517500698566437,
-0.33129388093948364,
0.009549710899591446,
0.8625357747077942,
0.38297444581985474,
-0.4490145742893219,
-0.39259374141693115,
0.1906624734401703,
-0.22759370505809784,
-0.283572435379... |
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