inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | No
| 5 | NIv2 | task1215_atomic_classification_capableof | fs_opt | [
0.8321548700332642,
0.17546427249908447,
0.4762231409549713,
0.08771613240242004,
0.36208266019821167,
-0.779163122177124,
0.833427906036377,
0.6444363594055176,
-0.5598056316375732,
0.02853693626821041,
-0.07824284583330154,
-0.4868483543395996,
-0.22741252183914185,
0.31397098302841187,
... |
In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. Once you create a question you also need to provide the correct answer for it. Write your answer like "Question: your question, Answer: your answer". The questions shoul... | Question: Why does the old professor collapse?, Answer: He has a heart attack | 0 | NIv2 | task182_duorc_question_generation | zs_opt | [
0.1859036237001419,
0.5763018727302551,
-0.09514780342578888,
0.34608888626098633,
-0.13288527727127075,
-0.8346570134162903,
0.9619261026382446,
0.7723609209060669,
-0.12395639717578888,
-0.440719872713089,
-0.4728911519050598,
0.13938654959201813,
-0.9480925798416138,
0.48163294792175293... |
Definition: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Polish.
Input: امروز در دنیای مدرن ما ، به خاطر اینترنت ، به خاطر نوع موضوعاتی که مردم درباره آنها اینجا صحبت می کنند ، همه چیز به همه چیز مرتبط است.
Output: | W naszym nowoczesnym świecie z powodu internetu, z powodów, o których inni już tu wcześniej mówili, wszystko jest ze wszystkim połączone. | 2 | NIv2 | task1272_ted_translation_fa_pl | zs_opt | [
-1.0452800989151,
1.033864974975586,
-0.23715008795261383,
-0.44972097873687744,
-0.6526941657066345,
-0.23818498849868774,
0.3735678195953369,
0.466379314661026,
1.1051783561706543,
-0.05965516343712807,
-0.41704338788986206,
0.9748948216438293,
0.10274464637041092,
0.11131345480680466,
... |
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 prompt and four completions, select the completion that is the most plausible in continuing or answering the prompt. This task is designed to test common sense and has various categories rang... | Completion A | 0 | NIv2 | task156_codah_classification_adversarial | fs_opt | [
-0.20136739313602448,
0.8781870603561401,
-0.39057639241218567,
-0.48938632011413574,
0.019173089414834976,
-0.06100054085254669,
0.9870595335960388,
0.5793527364730835,
-0.2605593204498291,
-0.08318597823381424,
-0.42414459586143494,
0.04572254791855812,
-0.2035711109638214,
0.30722731351... |
TASK DEFINITION: Based on the information present in the given passage, you need to write a correct answer to the given question. A correct answer is one that correctly and completely answers the question. Do not write answers that address the question partially or incorrectly. The correct answer must be contained in t... | Delores Marles Jackson.
| 8 | NIv2 | task054_multirc_write_correct_answer | fs_opt | [
0.5025519132614136,
0.414958119392395,
-0.6353102922439575,
0.10330554842948914,
0.7437468767166138,
-0.45355284214019775,
0.9043984413146973,
1.1850309371948242,
-0.5076766014099121,
0.21797263622283936,
-0.11905309557914734,
0.6915832757949829,
-0.7638046741485596,
0.3028661608695984,
... |
Given the task definition and input, reply with output. In this task, you will be shown a conversation and a question. You need to write an implausible answer to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. "W" and "M" in the conversations stand for "woman" and "man"... | Because it is his own desk. | 5 | NIv2 | task283_dream_incorrect_answer_generation | zs_opt | [
-0.3121129274368286,
0.8175863027572632,
-0.26191580295562744,
-0.10732034593820572,
0.19657379388809204,
-0.006065769586712122,
0.36754584312438965,
-0.22792501747608185,
0.8426748514175415,
-0.7549861669540405,
-0.28193217515945435,
0.6424716711044312,
0.2885019779205322,
0.0933355391025... |
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 | task1205_atomic_classification_isafter | zs_opt | [
0.18588787317276,
0.17950904369354248,
0.38734933733940125,
-0.3625543713569641,
-0.6032485961914062,
-0.6731767654418945,
1.2121776342391968,
0.30816125869750977,
-0.4597397446632385,
-0.5856837034225464,
-0.48733657598495483,
-0.4177987575531006,
-0.7364552021026611,
0.09672729671001434,... |
Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
[Q]: Where, sorry, what was the seat of former party leader David McLetchie?
[A]: What was the seat of former party leader David McLetchie?
[Q]: What do anarchists believe err I mean accept ab... | What was normal British defense?
| 5 | NIv2 | task1195_disflqa_disfluent_to_fluent_conversion | fs_opt | [
0.036061640828847885,
0.28018686175346375,
0.07959504425525665,
-0.7254071235656738,
0.04094218462705612,
-1.348768711090088,
1.022957444190979,
-0.2754916548728943,
0.9864276647567749,
0.13568542897701263,
-0.17822927236557007,
-0.4046538770198822,
-0.9843443632125854,
0.10576552152633667... |
Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.
Input: Consider Input: siege of paris
Output: Which army besieged Paris from 18 September 1870 for 4 months?
Input: Consider Input: the black gang
Output: The Black Gang in 1922 and Temple Tower in... | Output: Who released the critically acclaimed albums Blue and Court and Spark?
| 2 | NIv2 | task897_freebase_qa_topic_question_generation | fs_opt | [
0.40375378727912903,
1.5955944061279297,
-0.3716600835323334,
0.026199085637927055,
-0.3527141809463501,
-1.249449372291565,
0.7883879542350769,
0.15215621888637543,
0.2953917384147644,
0.7998936176300049,
-0.32069140672683716,
-0.5100895166397095,
-0.9633193016052246,
-0.5718852281570435,... |
Detailed Instructions: In this task, you are given a sentence in the english language. Here, your job is to convert english sentence into the bulgarian language.
See one example below:
Problem: Membership of Parliament: see Minutes
Solution: Състав на Парламента: вж. протоколи
Explanation: English sentence is converted... | Също така, ако този регламент бъде приет при условията на постигнатото съгласие, резултатът ще бъде намаляване на производството на храни и повишаване на цените, в резултат на което ще внасяме същите тези храни, които не произвеждаме, третирани със същите тези продукти, които в момента забраняваме. | 4 | NIv2 | task272_europarl_translation | fs_opt | [
0.4023905396461487,
0.49730634689331055,
0.27632027864456177,
0.051839541643857956,
-0.016120802611112595,
-0.1917816549539566,
1.0690317153930664,
-0.2304980754852295,
0.2002730667591095,
0.015742454677820206,
-0.2595086693763733,
0.7536494731903076,
-0.6019973158836365,
0.328596562147140... |
In this task, you need to Translate Czech text to English.
Q: Zp sob zji ov n p° tomnosti enzymaticky aktivn hydrol zy ve vzorku zahrnuje um st n vzorku na prvn a druh² pevn² nosi , p°i em prvn pevn² nosi m hl sic enzym kovalentn k sob p°ipojen² tak, e tento hl sic enzym se uvol uje p soben m uveden hydr... | The invented method for assaying for the presence of enzymatically active hydrolases in a sample comprises placing said sample in a device which contains first and second solid supports, said first solid support having a reporter enzyme immobilized thereon in such a manner whereby said reporter enzyme is released upon ... | 4 | NIv2 | task842_para_pdt_cs_en_translation | zs_opt | [
-0.0009064266923815012,
0.05866244435310364,
-0.3904123902320862,
1.020617127418518,
0.09182491898536682,
-0.23858539760112762,
0.3226013481616974,
0.30691391229629517,
0.10796517133712769,
-0.2589554786682129,
-0.3841685652732849,
0.5773149132728577,
-0.5571351051330566,
-0.24215920269489... |
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 input list.
['g', '2789', 'r', '4519', 'j', 'q', '5047', '5757', '8535', '9... | f, g, j, l, q, r | 0 | NIv2 | task636_extract_and_sort_unique_alphabets_in_a_list | zs_opt | [
-1.0060741901397705,
0.7460682392120361,
0.6379731893539429,
-0.20693877339363098,
0.6075841188430786,
0.44756317138671875,
0.7561224699020386,
-0.06471448391675949,
-1.2368230819702148,
0.1372067928314209,
-0.6331189274787903,
-0.6789339780807495,
-0.3617650866508484,
0.018945172429084778... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (... | i need a flight from pittsburgh to los angeles thursday evening | 1 | NIv2 | task184_break_generate_question | zs_opt | [
0.5056238770484924,
0.24014657735824585,
-0.8133367896080017,
0.66159987449646,
-0.0160613264888525,
-0.46767404675483704,
0.8907893896102905,
0.3507691025733948,
-0.2933441996574402,
0.48083263635635376,
-0.42300039529800415,
0.43051931262016296,
0.08736847341060638,
0.12265695631504059,
... |
You are given a geometric mathematical question. Questions in this task often involve shapes and Geometric Relationships. You are also given 4 or 5 answer options (associated with "A", "B", "C", "D", "E"). Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D', 'E'. LaTeX mathematic... | Output: B
| 2 | NIv2 | task119_semeval_2019_task10_geometric_mathematical_answer_generation | fs_opt | [
0.4047478437423706,
1.119882345199585,
-0.6945908069610596,
-0.6007946729660034,
-0.052788931876420975,
-0.16356530785560608,
0.7755809426307678,
0.8539954423904419,
0.046798087656497955,
-0.23321452736854553,
-0.5373437404632568,
0.3377498388290405,
-0.2894139885902405,
0.3288320600986480... |
You will be given a definition of a task first, then some input of the task.
In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alte... | Augustus and Seana hated each other. | 1 | NIv2 | task068_abductivenli_incorrect_answer_generation | zs_opt | [
0.9701493978500366,
0.7406803965568542,
0.08104351162910461,
-0.26556986570358276,
-0.421142578125,
-0.1463044136762619,
0.1971590667963028,
0.5857839584350586,
-0.15847554802894592,
-0.4958561658859253,
-0.08361229300498962,
0.4317215085029602,
-0.31259453296661377,
-0.39237532019615173,
... |
Definition: Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as t... | jump around right thrice after look around left | 2 | NIv2 | task131_scan_long_text_generation_action_command_long | zs_opt | [
0.45119670033454895,
0.5033789277076721,
-0.5011957287788391,
-0.10513797402381897,
0.14386020600795746,
0.20400714874267578,
0.28312838077545166,
0.8250367045402527,
-0.01951419562101364,
-0.15467257797718048,
-0.8839271068572998,
-0.30940091609954834,
-0.7372373342514038,
-0.103754185140... |
You are given a science question (hard-level) and four answer options (associated with "A", "B", "C", "D"). Your task is to find the correct answer based on scientific facts, knowledge, and reasoning. Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'. There is only one correct ... | C | 0 | NIv2 | task229_arc_answer_generation_hard | zs_opt | [
0.15952950716018677,
0.7413252592086792,
-0.7999405860900879,
-0.643703818321228,
-0.6236433982849121,
-0.4334433078765869,
0.396115243434906,
0.2709856629371643,
0.22148971259593964,
-0.1760554313659668,
-0.4222090244293213,
0.09006758779287338,
0.2689206302165985,
-0.6340767741203308,
... |
Teacher:You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Japanese.
Teacher: Now, understand the problem? Solve this instance: لم يكن في مقدورنا الحصول على ما يكفي من خلاياك لنزرعها خارج جسدك.
Student: | 体外でうまく育てられない細胞が多かったのです | 6 | NIv2 | task1231_ted_translation_ar_ja | zs_opt | [
-0.31580856442451477,
0.5658379793167114,
0.2776324450969696,
-0.7917532920837402,
-0.5996030569076538,
-0.09987900406122208,
1.1793798208236694,
0.41324344277381897,
0.5297921895980835,
-0.7811875343322754,
-0.12998518347740173,
-0.26093924045562744,
-0.9670730233192444,
0.327696323394775... |
In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.
--------
Question: Sentence1: 'several people preparing food in a large kitchen', Sentence2: 'a black and white photo of a person with a frisbee'. Is the frequency of the word 'a' in two sentences equal?
Answ... | No
| 7 | NIv2 | task159_check_frequency_of_words_in_sentence_pair | fs_opt | [
-0.17682579159736633,
0.24934247136116028,
-0.4399513006210327,
0.0875859409570694,
0.2600383162498474,
0.10281579941511154,
0.4713342785835266,
0.8619917631149292,
-0.1385500431060791,
-0.19863496720790863,
-0.5437038540840149,
0.21147388219833374,
-0.009636931121349335,
0.320905923843383... |
Instructions: In this task you are given a sentence. You must judge whether the object of the main clause is singular(like: apple) or plural(like: apartments). Label the instances as "Singular" or "Plural" based on your judgment.
Input: Only a few weak overhead electric lights illuminated the central spine that ran all... | Singular | 3 | NIv2 | task431_senteval_object_count | zs_opt | [
-1.3352380990982056,
0.7216098308563232,
0.27911606431007385,
-0.34548118710517883,
-0.37041351199150085,
-0.4556264281272888,
1.0515110492706299,
0.19960632920265198,
-0.2550851106643677,
-0.4526025652885437,
-0.027314316481351852,
0.1311180293560028,
-0.5197089910507202,
-0.2688378095626... |
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... | How many Governing Body members were there in late 2012?
| 1 | NIv2 | task348_squad2.0_unanswerable_question_generation | fs_opt | [
0.43906813859939575,
0.19611944258213043,
-0.22521615028381348,
0.26791369915008545,
0.40351980924606323,
-0.755560040473938,
0.7169362306594849,
0.9040747880935669,
-0.00007907534018158913,
0.590673565864563,
-0.2105153650045395,
-0.05842190235853195,
-0.2591019868850708,
0.53628635406494... |
Given a sentence in French, generate a new French sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it bei... | Un long raid vous ferait menacer de manger pour une coupe de cheveux.
| 7 | NIv2 | task406_mickey_fr_sentence_perturbation_generation | fs_opt | [
-0.19636356830596924,
0.9630350470542908,
0.12720531225204468,
-0.662630558013916,
-0.03670738637447357,
-0.7247648239135742,
0.5962336659431458,
0.7440038919448853,
-0.47981423139572144,
-0.20616337656974792,
-1.0753467082977295,
0.1184474378824234,
-0.7046773433685303,
-0.169753253459930... |
Q: In this task, you're given an article, a question which often contains a blank and four options (associated with "A", "B", "C", "D"). Your task is to find the correct answer (from the given options) for the question from the given article and return one of the options from "A", "B", "C", and "D". Do not generate any... | A | 7 | NIv2 | task309_race_answer_generation | zs_opt | [
0.6857830882072449,
-0.01998879574239254,
-0.6755942106246948,
0.39255040884017944,
0.7613562345504761,
0.125071182847023,
0.8863005638122559,
1.0543620586395264,
-0.23477134108543396,
-0.11781296133995056,
-0.29537248611450195,
0.7313458323478699,
-0.24040816724300385,
-0.3599100708961487... |
Given the task definition and input, reply with output. You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
E traballamos contra reloxo intentando facer todo o posible, intentando axudar as persoas, intentando chamar a atención, pero tamén fixemos unha cousa sinxela.
| Y trabajamos día y noche tratando de hacer todo lo posible, para ayudar a las personas, tratando de llamar la atención, pero también hicimos algo más sencillo. | 5 | NIv2 | task1240_ted_translation_gl_es | zs_opt | [
-1.1145803928375244,
1.3806495666503906,
0.06346859782934189,
-0.42219436168670654,
-0.06112924590706825,
-0.8817412853240967,
0.19660142064094543,
0.7278046607971191,
-0.2511079013347626,
-0.36253440380096436,
-0.664594292640686,
0.5565433502197266,
-0.44867998361587524,
0.209896117448806... |
Given the task definition and input, reply with output. A text is given in English. Translate it from the English language to the Marathi language. The translation must not omit or add information to the original sentence.
Every single image of the difficulties faced by them for the people of Jammu Kashmir is imprint... | इथल्या जनतेसाठी हे जवान जे काही करत आहेत, जे कष्ट झेलत आहेत, त्याची प्रत्येक छबी देशाच्या जनतेच्या मनावर, मेंदूवर अमिट ठसा उमटवते. | 5 | NIv2 | task1085_pib_translation_english_marathi | zs_opt | [
0.4615441560745239,
0.28279775381088257,
0.5525366067886353,
-0.2475677728652954,
0.1479913890361786,
-1.3676530122756958,
1.1124720573425293,
0.006452516652643681,
-0.3177715539932251,
-0.2351679503917694,
-0.2911760210990906,
0.12123215198516846,
-0.25074630975723267,
0.45578110218048096... |
Given a prompt and four completions, select the completion that is the most plausible in continuing or answering the prompt. This task is designed to test common sense and has various categories ranging between idioms, negated statements, polysemy, subject referencing, and quantitative reasoning. Generate either Comple... | Completion A
| 0 | NIv2 | task156_codah_classification_adversarial | fs_opt | [
0.3274170756340027,
1.0027086734771729,
-0.698851466178894,
-0.4686686396598816,
-0.2045171707868576,
-0.6199105978012085,
0.6635121703147888,
0.5696926116943359,
-0.3220461905002594,
-0.4328135848045349,
-0.778272271156311,
-0.11948998272418976,
-0.45253825187683105,
-0.020742956548929214... |
In this task, you are given a context paragraph of the tweet and question. Your task is to generate right answer of given question based on given context tweet paragraph.
Ex Input:
Context: We made Oprah's #FavoriteThings2015! See us in the December issue of @o_magazine and at . Burt's Bees Baby™ (@BurtsBeesBaby) Nove... | that she is rare, wonderful, and talented.
| 1 | NIv2 | task239_tweetqa_answer_generation | fs_opt | [
-0.16683675348758698,
0.611504316329956,
-0.44524216651916504,
0.6300561428070068,
0.5565611124038696,
0.13470345735549927,
-0.48574015498161316,
-0.17077869176864624,
0.5124547481536865,
0.635042130947113,
-0.020660990849137306,
0.09400863945484161,
0.08521946519613266,
-0.142587423324584... |
Detailed Instructions: Given Statement1 and Statement2 in Croatian, identify a label based on the relationship between them. There are two possible labels: 'cause' and 'effect'. If Statement2 is the consequence of Statement1 then the Label is 'effect'. If Statement2 is the cause of Statement1 then the label is 'cause'
... | cause | 9 | NIv2 | task1629_copa_hr_classification | zs_opt | [
-0.897911548614502,
0.383510947227478,
-0.4552100598812103,
-0.27103444933891296,
-0.7107753157615662,
-0.7806956768035889,
0.012791953049600124,
-0.43954703211784363,
0.07412434369325638,
-0.10917138308286667,
0.20258763432502747,
0.4596858620643616,
-0.6286200284957886,
0.386165231466293... |
In this task, you are given an ambiguous question/query (which can be answered in more than one way) and a clarification statement to understand the query more precisely. Your task to classify that if the given clarification accurately clarifies the given query or not and based on that provide 'Yes' or 'No'.
Q: Query: ... | No | 4 | NIv2 | task227_clariq_classification | zs_opt | [
-0.6021203994750977,
-0.5138860940933228,
-0.2362784445285797,
-0.3456062078475952,
-0.5723562240600586,
-0.7234894037246704,
0.6368921995162964,
0.08488360047340393,
0.40762966871261597,
-0.1888922154903412,
0.07429741322994232,
0.4836277663707733,
-0.9801121354103088,
0.20474740862846375... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task you 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... | [-67, -35, -19] | 0 | NIv2 | task370_synthetic_remove_divisible_by_3 | fs_opt | [
0.21492940187454224,
-0.2929461896419525,
-0.20856130123138428,
-0.22773465514183044,
0.5469769239425659,
0.024485226720571518,
0.7795566916465759,
0.3901698589324951,
0.01678297109901905,
0.014964224770665169,
-0.6060209274291992,
-0.3362661600112915,
-0.0814334899187088,
-0.0017318504396... |
Given the task definition, example input & output, solve the new input case.
Generate an overlapping word between the given two sentences. When you find the overlapping words, they don't have to match exactly, e.g., "survival" and "survive" are valid overlapping words. Little words like "the" or "of" don't count! You m... | Wells | 1 | NIv2 | task039_qasc_find_overlapping_words | fs_opt | [
-0.15434424579143524,
1.1093230247497559,
-0.10119518637657166,
-0.08676955848932266,
0.12978145480155945,
-0.8991212844848633,
-0.039568010717630386,
0.7392796277999878,
-0.15389126539230347,
-0.4522874057292938,
-0.7629679441452026,
-0.10257788002490997,
-0.13570179045200348,
-0.26096922... |
A text is given in Tamil. Translate it from the Tamil language to the Telugu language. The translation must not omit or add information to the original sentence.
పని ప్రపంచంలో పరివర్తనల నుండి ఎదురయ్యే సవాళ్ల విషయంలో రెండు సంస్థల సాంకేతిక సామర్ధ్యాల పెంపు పై ఈ అవగాహనా ఒప్పందం ప్రభావం ప్రధానంగా ఉంటుంది. | உலக அளவில் பணிச்சூழலில் ஏற்பட்டுள்ள சவால்களை எதிர்கொள்வதற்காக இருதரப்பு கல்வி நிறுவனங்களும் தொழில்நுட்பத் திறனை வலுப்படுத்திக் கொள்ள புரிந்துணர்வு ஒப்பந்தம் உதவும். | 0 | NIv2 | task1076_pib_translation_telugu_tamil | zs_opt | [
-0.45269978046417236,
1.2590954303741455,
0.32538414001464844,
0.5467307567596436,
0.45924901962280273,
-0.6217665672302246,
0.09558695554733276,
1.0821430683135986,
-0.19330143928527832,
-0.27201786637306213,
-0.27334505319595337,
-0.6905778646469116,
-0.29790568351745605,
0.5430105924606... |
Teacher: In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write your answer in... | Tom like(s) friendship >Motivates> Tom made new friends with people | 2 | NIv2 | task747_glucose_cause_emotion_detection | fs_opt | [
0.5241374969482422,
0.08651480823755264,
-0.19792194664478302,
0.3740304708480835,
-0.19932270050048828,
-1.2064365148544312,
0.19868548214435577,
0.7963407039642334,
-0.36179834604263306,
-0.24798934161663055,
-0.6611661314964294,
-0.1266549527645111,
-0.19494444131851196,
-0.405110090970... |
instruction:
In this task you will be given a list of dictionaries. A dictionary is a set of key-value pairs, where each key is unique and has a value associated with that key. You should sort the list of dictionaries from smallest to largest by their 'first' key. If there is two dictionaries with the same 'first' valu... | [{'first': -82, 'second': 28}, {'first': -72, 'second': 83}, {'first': -45, 'second': -21}, {'first': -15, 'second': -36}, {'first': 21, 'second': -3}, {'first': 73, 'second': -24}, {'first': 74, 'second': 65}, {'first': 95, 'second': 87}]
| 9 | NIv2 | task123_conala_sort_dictionary | fs_opt | [
0.4731801748275757,
-0.18788094818592072,
-0.1609194278717041,
-0.2691565752029419,
0.5018943548202515,
-0.6233967542648315,
0.7844343185424805,
0.9999687075614929,
-0.1018260195851326,
-0.207302063703537,
-0.5344132781028748,
-0.31593912839889526,
-0.7675917744636536,
0.12590575218200684,... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given music product reviews in Japanese language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
パンク天国２にも掲載、... | POS | 1 | NIv2 | task487_cls_japanese_music_classification | zs_opt | [
-0.05591627210378647,
-0.23054003715515137,
-0.5591251254081726,
-0.169282466173172,
0.22203794121742249,
-0.003206041641533375,
1.0767000913619995,
-0.051572732627391815,
-0.31742775440216064,
0.37104764580726624,
-0.43980810046195984,
0.21142733097076416,
-0.39339008927345276,
0.26793169... |
Detailed Instructions: 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 co... | Option 1 | 9 | NIv2 | task065_timetravel_consistent_sentence_classification | zs_opt | [
-0.14681167900562286,
0.5047178268432617,
0.21326656639575958,
-0.035608693957328796,
0.12164917588233948,
-0.4849448800086975,
0.43414244055747986,
0.8013700842857361,
0.48575204610824585,
0.5601136088371277,
-0.18582268059253693,
-0.7041195631027222,
-0.2301691472530365,
0.31071817874908... |
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, v... | Output: N
| 2 | NIv2 | task204_mnli_same_genre_classification | fs_opt | [
-0.8224312663078308,
0.5762258768081665,
-0.001035340828821063,
-0.3449002206325531,
0.09626763314008713,
0.24059942364692688,
0.09808994084596634,
0.9352269768714905,
0.04078664630651474,
0.2191162407398224,
-0.46800386905670166,
0.2060682624578476,
-0.736558198928833,
-0.2597373723983764... |
Detailed Instructions: In this task, you will be shown a passage. You need to write a fill-in-the-gap question based on your understanding of the events that might be inferred from the passage. Your question should be answerable based on the passage and only have one correct answer. Show the gap in your question with a... | Quality time: _, seen ahead of Kate's 2011 wedding, says she still spends a lot of time with her sister. | 9 | NIv2 | task301_record_question_generation | zs_opt | [
-0.3889012336730957,
0.7264875173568726,
-0.168690025806427,
-0.8762115240097046,
0.09586528688669205,
-1.089605450630188,
0.6911206245422363,
0.7582757472991943,
0.03744000941514969,
0.19330091774463654,
0.5905461311340332,
0.20581266283988953,
-0.8467841148376465,
0.022766515612602234,
... |
Detailed Instructions: The provided text is in English, and we ask you to translate the text to the Croatian language. Please bear in mind the following guidelines while translating: 1) We want a natural translation, a formal form. 2) Use the symbols like '#@%$-+_=^&!*' as-is. *Include* the special characters as suited... | Stolovi nisu kvadratni. | 4 | NIv2 | task1365_opustedtalks_translation | fs_opt | [
-0.46257203817367554,
0.4898883104324341,
-0.36703333258628845,
0.6319817900657654,
-0.011652631685137749,
-0.8759542107582092,
0.4889782667160034,
-0.08238059282302856,
-0.20407749712467194,
-0.24955278635025024,
-0.258637398481369,
0.4822860360145569,
0.015309011563658714,
0.275293588638... |
Teacher:In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You... | Yes | 6 | NIv2 | task1196_atomic_classification_oeffect | zs_opt | [
0.5079969167709351,
0.48935967683792114,
0.35944509506225586,
-0.28248414397239685,
-0.3771560788154602,
-1.045647144317627,
1.2414889335632324,
0.5766838192939758,
-0.6945890784263611,
-0.2985057234764099,
-0.39687156677246094,
0.24015317857265472,
-0.7193285226821899,
-0.2753812074661255... |
In this task, you're given a pair of sentences in the Persian Language written in the Persian alphabet. Your job is to choose whether the two sentences agree (entailment), disagree (contradiction), or neither (neutral). Your answer must be in the form of the letters E, C, and N, respectively. The sentences have been se... | N
| 3 | NIv2 | task534_farstail_entailment | fs_opt | [
-0.04437107592821121,
0.5544188022613525,
-0.014641070738434792,
0.1778963953256607,
-0.8119797706604004,
-0.14227740466594696,
0.7390936613082886,
1.118250846862793,
0.6504823565483093,
0.06893700361251831,
-0.5748620629310608,
0.3799346089363098,
-0.4774538278579712,
-0.3713008463382721,... |
Teacher: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 for a ... | I_TURN_RIGHT I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_TURN_RIGHT I_LOOK I_TURN_LEFT I_RUN | 6 | NIv2 | task126_scan_structured_text_generation_command_action_all | zs_opt | [
0.03561657667160034,
0.868759274482727,
-0.21142128109931946,
0.023879332467913628,
-0.16081270575523376,
0.13388337194919586,
-0.02762085571885109,
0.18656644225120544,
-0.1342008411884308,
-0.3864898681640625,
-0.6919341683387756,
-0.3400263488292694,
-0.6502801179885864,
-0.301636695861... |
Teacher: In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
Teacher: Now, understand the problem? If ... | [-92796, 45100, -5040, 9660, 1485, 5271370, -5796] | 2 | NIv2 | task371_synthetic_product_of_list | fs_opt | [
0.43394291400909424,
-0.07245136052370071,
-0.8916682600975037,
-0.5765944719314575,
0.5483732223510742,
-0.5265938639640808,
1.1099233627319336,
1.2681807279586792,
-0.48800456523895264,
0.20117488503456116,
-0.632790207862854,
0.06586527824401855,
-0.5427427291870117,
-0.4768769741058349... |
In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the coreference link with gendered pronouns and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable.
Q: ... | Unidentifiable | 4 | NIv2 | task350_winomt_classification_gender_identifiability_pro | zs_opt | [
-1.6800012588500977,
0.4759904146194458,
0.03491683304309845,
-0.8269622325897217,
0.012334692291915417,
0.024519233033061028,
-0.11029508709907532,
1.0091865062713623,
0.7155159711837769,
0.6433992981910706,
-0.6888047456741333,
0.056657012552022934,
0.1288471817970276,
-0.463150650262832... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Polish.
Input: Consider Input: در واقع نه! زیرا اگر شما به چیزی که در۱۹۹۸ اتفاق افتاد نگاهی بیاندازید ، آتش سوزی رو که آغاز شد می بینید.
Output: Nie całkiem, jak pokazuje rok 1998. Wybuchły pożary.
Input: Consider Input: من مطمئ... | Output: Dawajcie z siebie wszystko, dzielcie się tym ze światem.
| 2 | NIv2 | task1272_ted_translation_fa_pl | fs_opt | [
-0.5150344371795654,
0.7451997399330139,
-0.47515302896499634,
-0.21112683415412903,
-0.6554661989212036,
-0.3400588631629944,
0.6894736289978027,
0.13242265582084656,
0.370406836271286,
0.10684892535209656,
-0.3217235207557678,
0.6382606029510498,
-0.8189728856086731,
0.2738146185874939,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given inputs 'i', 'j', and A, where 'i' and 'j' are integers and A is a list. A list is shown by two brackets and comma-separated numbers and characters inside, like ['1', '12', 'l']. You need to concatenate all elements ... | 14579135549699 | 1 | NIv2 | task267_concatenate_and_reverse_all_elements_from_index_i_to_j | zs_opt | [
0.29995959997177124,
0.15064167976379395,
-0.42179399728775024,
-0.4035138487815857,
0.050085462629795074,
0.46955910325050354,
0.3363657593727112,
0.13866247236728668,
-0.6806014776229858,
-0.04778987914323807,
-1.1333651542663574,
-0.19077631831169128,
0.06785625219345093,
-0.31448554992... |
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... | 2299, 309, 8159, 1099, 3745 | 6 | NIv2 | task064_all_elements_except_first_i | fs_opt | [
-0.2972540259361267,
0.5740240812301636,
0.027838677167892456,
-0.9092377424240112,
-0.13494929671287537,
-0.11490921676158905,
0.8725743889808655,
-0.03382560610771179,
-0.4552733898162842,
-0.3561212420463562,
-0.8300175666809082,
-0.03923854976892471,
0.15293475985527039,
-0.18177764117... |
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.... | ADV
| 1 | NIv2 | task1168_brown_coarse_pos_tagging | fs_opt | [
0.5854036808013916,
0.3738836646080017,
-0.0887504369020462,
0.042199574410915375,
-0.009875746443867683,
-0.771853506565094,
0.458795428276062,
0.7360712885856628,
-0.4845106899738312,
-0.06390232592821121,
-0.546617865562439,
0.3079315721988678,
-0.773715615272522,
0.23094871640205383,
... |
Q: You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Pero nos EE.UU cada vez que xurdía África a xente volvíase cara a min.
A: | 私がナミビアのような場所を知らないにも関わらず | 7 | NIv2 | task1239_ted_translation_gl_ja | zs_opt | [
-0.920329213142395,
0.5000193119049072,
-0.10750796645879745,
-0.2967703640460968,
-0.4857523441314697,
-0.7207009792327881,
0.16892090439796448,
0.4791269302368164,
-0.2714461386203766,
0.01665174588561058,
-0.22149699926376343,
-0.5602800846099854,
-1.4543952941894531,
0.485615074634552,... |
Detailed Instructions: In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write ... | Jason and Joe want(s) to get food >Motivates> Joe drives to Applebee's | 9 | NIv2 | task747_glucose_cause_emotion_detection | zs_opt | [
-0.32086825370788574,
-0.20232978463172913,
0.19248919188976288,
0.23274224996566772,
-0.16500535607337952,
-0.8548822402954102,
0.6559634208679199,
0.6286642551422119,
-0.9374425411224365,
0.24818089604377747,
-0.46350812911987305,
-0.3875081241130829,
-0.2288072109222412,
-0.318531751632... |
Given the task definition, example input & output, solve the new input case.
A text is given in Malayalam. Translate it from the Malayalam language to the Telugu language. The translation must not omit or add information to the original sentence.
Example: iv) ఆధునిక సాంకేతిక పరిజ్ఞానంతో విత్తన ఉత్పత్తిలో అనుభవాల మార్పి... | ഭാരത് മാല പദ്ധതിയുടെ രണ്ടാം ഘട്ടത്തില് സംസ്ഥാന റോഡ് ശൃംഖലകള് വികസിപ്പിക്കും | 1 | NIv2 | task1050_pib_translation_telugu_malayalam | fs_opt | [
-0.7724085450172424,
0.7304433584213257,
0.09880644828081131,
0.5219694375991821,
0.30331891775131226,
-0.22521376609802246,
-0.11487710475921631,
1.2481415271759033,
-0.23420819640159607,
0.29197800159454346,
-0.6975189447402954,
-0.06265974789857864,
0.16598597168922424,
-0.2528504133224... |
In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
Example Input: [577, -337, 202, -697, -346]
Example Output: [580, -340, 200, -700, -350]
Example Input: [7, 903, -634, -912, -425, 76, -109,... | [390, -820, -730, -510, 370, 70, 200, -290]
| 3 | NIv2 | task373_synthetic_round_tens_place | fs_opt | [
-0.642723560333252,
0.5997450947761536,
-0.20459026098251343,
0.009558552876114845,
-0.2723786234855652,
-0.26227110624313354,
0.6630164980888367,
0.0029972039628773928,
-0.5106461048126221,
0.19188456237316132,
-0.8678807020187378,
0.07816187292337418,
-0.7153565287590027,
0.1044364422559... |
Teacher:In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the alphabetical elements in the given list. Return 0 if no alphabetical element in the list
Teacher: Now, understand the problem? Solve this instance: ['1533', '... | 8 | 6 | NIv2 | task504_count_all_alphabetical_elements_in_list | zs_opt | [
-0.4357658624649048,
0.5792423486709595,
-0.2296902984380722,
-0.4068068861961365,
-0.010018937289714813,
-0.3448657989501953,
0.5110071897506714,
0.16808228194713593,
-0.5119324922561646,
0.6651749610900879,
-0.26501747965812683,
-0.18640592694282532,
0.2057664394378662,
-0.35954612493515... |
Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You ... | No | 3 | NIv2 | task1207_atomic_classification_atlocation | zs_opt | [
0.35991427302360535,
0.3180577754974365,
0.3231326937675476,
-0.19295218586921692,
-0.6085065603256226,
-0.578599750995636,
1.0857903957366943,
0.3639451563358307,
-0.42093247175216675,
-0.7039415836334229,
-0.5221906304359436,
-0.505492091178894,
-0.577971339225769,
0.5346493721008301,
... |
You will be given a definition of a task first, then some input of the task.
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 upperc... | I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK | 1 | NIv2 | task126_scan_structured_text_generation_command_action_all | zs_opt | [
0.3655409812927246,
0.694827675819397,
-0.42802247405052185,
0.32765862345695496,
0.05823899060487747,
0.14578163623809814,
0.1807657778263092,
0.2697739005088806,
-0.22311976552009583,
-0.41211825609207153,
-0.7531095743179321,
-0.5100781917572021,
-0.40825122594833374,
-0.197837740182876... |
Definition: In this task, your goal is to judge a correct answer to a given question based on an associated paragraph and decide if it is a good correct answer or not. A good correct answer is one that correctly and completely answers the question. A bad correct answer addresses the question only partially or incorrect... | Yes. | 2 | NIv2 | task056_multirc_classify_correct_answer | zs_opt | [
0.20085090398788452,
0.3404079079627991,
-0.316284716129303,
0.33386898040771484,
0.5587695837020874,
-0.8814064860343933,
0.2669009566307068,
0.6865934133529663,
-0.15870234370231628,
0.7844119668006897,
-0.6774770021438599,
-0.1893739104270935,
-0.3556397557258606,
-0.12265748530626297,
... |
In this task, you need to count the number of vowels (letters 'a', 'e', 'i', 'o', 'u') / consonants (all letters other than vowels) in the given sentence.
[EX Q]: Sentence: 'a man and young girl on a tennis court in a park area'. Count the number of consonants in the given sentence.
[EX A]: 23
[EX Q]: Sentence: 'men ... | 18
| 6 | NIv2 | task157_count_vowels_and_consonants | fs_opt | [
0.3477579951286316,
0.5973405241966248,
-1.4409393072128296,
-0.8978142738342285,
-0.18744364380836487,
-0.07392717897891998,
-0.18691697716712952,
0.7321008443832397,
0.4161098599433899,
-0.315954327583313,
-0.7425550222396851,
0.09124891459941864,
-0.03212932124733925,
-0.393132686614990... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English.
Elon Musk, quem me dera ter o dia todo, mas muito obrigado por vir ao TED. | Elon Musk, I wish we had all day, but thank you so much for coming to TED. | 0 | NIv2 | task1274_ted_translation_pt_en | zs_opt | [
-0.8111497759819031,
0.8310763835906982,
0.4120323359966278,
-0.6667976975440979,
-0.8610314726829529,
-0.8633286952972412,
-0.711491584777832,
-0.2695774435997009,
0.7875956296920776,
-0.3054670989513397,
-0.225266695022583,
0.507987380027771,
-0.31143271923065186,
-0.0817551389336586,
... |
Definition: In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story such that it seamlessly connects with the rest of the story.
Input: Title: The Grass. Sentence 1: I had never mowed grass before a day in my life. Sentence 2: I wal... | The only issue I encountered was simply that it was very hot that day. | 2 | NIv2 | task216_rocstories_correct_answer_generation | zs_opt | [
-0.29492104053497314,
0.6967235803604126,
0.08145008981227875,
-0.3249569535255432,
-0.20542919635772705,
0.10409298539161682,
0.5670161247253418,
0.4097963273525238,
0.14302948117256165,
-0.17253617942333221,
-1.1016004085540771,
-0.16154411435127258,
-0.08584108203649521,
0.2381172031164... |
You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two or more complete sentences connected without any punctuation). The poem should not be too long or too complex, because it ... | she walk down the hall everyday and watch all the child fade away she wonder what it be like to have a shoulder to cry on each night she's never have someone to laugh with or share her secret with her world be full of darkness and she need a little bit of light then one day something so dramatic happen a girl with a hi... | 8 | NIv2 | task1711_poki_text_generation | fs_opt | [
-0.28885453939437866,
1.9575790166854858,
0.17330461740493774,
-0.7014068365097046,
-0.427884042263031,
-0.6380391120910645,
0.8701338171958923,
0.14861175417900085,
0.17180576920509338,
-0.46347129344940186,
-0.6284965872764587,
0.09955768287181854,
-0.9670164585113525,
-0.085625767707824... |
instruction:
Given a sentence in Hindi, generate a new Hindi 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 probabilit... | आप संभवतः एक समुद्र में चारों ओर एक शार्क की उम्मीद कर रहे हैं.
| 9 | NIv2 | task407_mickey_hi_sentence_perturbation_generation | fs_opt | [
-0.20395338535308838,
0.7259427309036255,
0.1951451599597931,
-0.32669371366500854,
-0.18284422159194946,
-0.7176707983016968,
0.6155027151107788,
0.4388197064399719,
0.15685155987739563,
-0.6641805171966553,
-0.6861616969108582,
-0.282432496547699,
-0.8314687609672546,
0.19611772894859314... |
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 ... | Yes | 2 | NIv2 | task1212_atomic_classification_hasproperty | fs_opt | [
0.3290403187274933,
0.3105482757091522,
0.08613547682762146,
0.0615476630628109,
-0.318947970867157,
-1.4522205591201782,
0.7961931228637695,
0.9813354015350342,
-0.6254395246505737,
-0.21601472795009613,
-0.4324001669883728,
-0.39085760712623596,
-0.35397717356681824,
-0.13444413244724274... |
Given the task definition, example input & output, solve the new input case.
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'... | organization | 1 | NIv2 | task900_freebase_qa_category_classification | fs_opt | [
0.27369225025177,
0.19967341423034668,
-0.13308405876159668,
-0.024156752973794937,
0.7251029014587402,
0.20607274770736694,
0.42882460355758667,
0.5262908935546875,
-0.288658082485199,
0.14129070937633514,
-0.06516057252883911,
-0.25446683168411255,
-0.0738006979227066,
-0.331331610679626... |
Definition: 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 should preserve the number as it is and it sho... | No | 2 | NIv2 | task426_hindienglish_corpora_hi-en_classification | zs_opt | [
0.023762065917253494,
0.360800564289093,
0.5744801759719849,
0.03562670946121216,
-0.17296037077903748,
-0.17288640141487122,
0.6773517727851868,
0.4139794111251831,
-0.32467004656791687,
-0.5240793228149414,
-0.6860226392745972,
0.6094599962234497,
-0.5959993600845337,
0.6505230665206909,... |
In this task, you will be presented with a premise and a hypothesis sentence. Determine whether the hypothesis sentence entails (implies), contradicts (opposes), or is neutral with respect to the given premise sentence. Please answer with "Contradiction", "Neutral", or "Entailment".
Q: Premise: Irish Mams Just Cannot S... | Neutral | 4 | NIv2 | task1387_anli_r3_entailment | zs_opt | [
-0.6013915538787842,
0.5914433002471924,
0.2488710731267929,
0.04143606871366501,
-0.08976303040981293,
-1.0056114196777344,
0.37361884117126465,
0.5713139176368713,
0.7409301400184631,
-0.21842093765735626,
-0.44357573986053467,
-0.007060653995722532,
0.13266420364379883,
-0.5044734477996... |
Teacher: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to... | the girl is going to squirt water at her friends | 2 | NIv2 | task184_snli_entailment_to_neutral_text_modification | fs_opt | [
0.11435683816671371,
0.5014580488204956,
0.332251638174057,
-0.6670529842376709,
0.3632625341415405,
-1.181240200996399,
-0.4888855218887329,
1.1551604270935059,
-0.18168997764587402,
0.23845185339450836,
-0.4022844433784485,
-0.14444804191589355,
-0.6986204385757446,
-0.7021759748458862,
... |
Translate the given Spanish text to English
Q: The laminate may optionally be metallised.
A: | El laminado puede estar opcionalmente metalizado. | 4 | NIv2 | task840_para_pdt_en_es_translation | zs_opt | [
-0.09507085382938385,
1.3613280057907104,
-0.16245150566101074,
-0.6550110578536987,
-0.05176853388547897,
-0.7436779141426086,
0.22786065936088562,
0.031563516706228256,
-0.06931539624929428,
0.6512829661369324,
0.7069821357727051,
0.48536914587020874,
-0.2517414391040802,
0.2141991853713... |
In this task, you're given a story (which contains five sentences only). Your task is to find all the characters which are available in the given story.
[EX Q]: Sentence1: Maddie really wanted a puppy. Sentence2: Her mom told her if she gets all good grades, she could get one. Sentence3: She worked really hard for thr... | Fiance, Jade
| 6 | NIv2 | task292_storycommonsense_character_text_generation | fs_opt | [
-0.11156739294528961,
0.03675471991300583,
-0.5118863582611084,
-0.598876953125,
0.22995184361934662,
-0.35962754487991333,
0.047697264701128006,
1.081535816192627,
-0.0585726834833622,
0.12416423857212067,
-0.5411373376846313,
-0.3661664128303528,
-0.12371279299259186,
-0.1089947298169136... |
Instructions: 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.
Input: Article: In the USA Forbes magazine has published its annual list of the richest people in the world. Bill Gates of Microsoft is the richest man again for the eleven... | Which of the following persons has the largest fortune according to this year's Forbes magazine? | 3 | NIv2 | task311_race_question_generation | zs_opt | [
-0.05682901665568352,
0.5255218744277954,
-0.12476164847612381,
0.2924705743789673,
0.06495647132396698,
0.2235948145389557,
0.6914511322975159,
0.46096277236938477,
1.0673936605453491,
0.23119927942752838,
-0.7519598007202148,
1.3980391025543213,
-1.0283808708190918,
-0.05115973576903343,... |
TASK DEFINITION: In this task, you are given a sentence in the English language and your task is to convert English sentence into the Gujarati language.
PROBLEM: An overturned bus with a person wearing protective gear sorting through debris.
SOLUTION: કાટમાળ દ્વારા સૉર્ટ રક્ષણાત્મક ગિયર પહેર્યા વ્યક્તિ સાથે ઉથલાવી દેવ... | સમુદ્રી દરિયાકાંઠાની રેતી અને પાણીની સપાટી પર નીચલા સીગલની દિશામાં દબાણ આવે છે.
| 8 | NIv2 | task438_eng_guj_parallel_corpus_en_gu_translation | fs_opt | [
0.14084939658641815,
0.28123074769973755,
-0.20529261231422424,
-0.5392602682113647,
-0.20625023543834686,
-0.8530071973800659,
0.16588640213012695,
0.05090433731675148,
-0.3363301753997803,
0.12899646162986755,
-0.5999226570129395,
0.02753647044301033,
-0.3092041015625,
-0.029182491824030... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Arabic.
Erez Lieberman Aiden: Todo el mundo sabe que una imagen vale más que mil palabras.
إيريز ليبرمان ايدن: الجميع يعرف أن الصورة تعادل الف كلمة.
Si inhibimos un tipo particular de neurona y encontramos que un comportamiento se... | إنّ له ثلاثة أنواع مختلفة من السّلاسل.
| 0 | NIv2 | task1228_ted_translation_es_ar | fs_opt | [
-0.38627591729164124,
0.019071519374847412,
-0.05378683656454086,
-0.1551886796951294,
-0.20507992804050446,
0.7217519283294678,
0.9158545732498169,
0.3991199731826782,
-0.037914760410785675,
-0.7602043747901917,
-0.5820696353912354,
0.23665574193000793,
-0.9595497846603394,
0.554429769515... |
You are given a set of queries separated by '
', and your job is to find out the query which is not a well-formed or well-structured query in terms of grammar, punctuations, or spelling errors.
What is kilaueas lava chaacterisicks ?
What are the vidmaster challenges ?
What are some forms of smokeless tobacco ?
What di... | What is kilaueas lava chaacterisicks ? | 0 | NIv2 | task674_google_wellformed_query_sentence_generation | zs_opt | [
-0.6230670213699341,
0.957643985748291,
-0.04949577897787094,
-0.43168795108795166,
-0.15095829963684082,
0.7476764917373657,
0.6315984129905701,
0.33288511633872986,
-0.4991900622844696,
-0.10518539696931839,
-0.1362881064414978,
-1.47323477268219,
-0.2296614646911621,
0.5686611533164978,... |
A text is given in Bengali. Translate it from the Bengali language to the Tamil language. The translation must not omit or add information to the original sentence.
Let me give you an example: இந்த ஒப்பந்தம் 2019, ஜனவரி மாதத்தில் டென்மார்க்கிலிருந்து இந்தியாவிற்கு வருகை தரவுள்ள மிக முக்கிய பிரமுகரின் வருகையின்போது கைய... | ভারত ও কলম্বিয়ার মধ্যে বিনিয়োগের প্রসার ও সুরক্ষা সম্পর্কিত যে চুক্তিটি ২০০৯-এর ১০ নভেম্বর তারিখে স্বাক্ষরিত হয়েছিল, সেটি সম্পর্কে একটি পৃথক যৌথ ঘোষণাপত্র স্বাক্ষরের প্রস্তাবে অনুমোদন দিল কেন্দ্রীয় মন্ত্রিসভা। প্রধানমন্ত্রী শ্রী নরেন্দ্র মোদীর নেতৃত্বে আজ এখানে মন্ত্রিসভার এক বৈঠকে এই অনুমোদনদানের সিদ্ধান্ত গ্রহণ ক... | 8 | NIv2 | task982_pib_translation_tamil_bengali | fs_opt | [
-0.3831380307674408,
0.8229455947875977,
-0.19979986548423767,
-0.2976829409599304,
0.36502212285995483,
-0.7870497703552246,
0.10404201596975327,
0.3098095655441284,
-0.381506085395813,
0.3633549213409424,
-0.004974364303052425,
-0.09272243827581406,
-0.4456174373626709,
0.651275455951690... |
Instructions: 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).
Input: En algunos casos incluso se han encontrado insectos en los alimentos.
Output: | In some cases, there have been incidents of food containing insects and such like. | 3 | NIv2 | task531_europarl_es_en_translation | zs_opt | [
-0.11300209164619446,
0.4932118058204651,
0.26719316840171814,
-0.2516136169433594,
0.19816157221794128,
-0.44961270689964294,
0.29084116220474243,
0.5229604840278625,
-0.8299458622932434,
-0.10218529403209686,
-0.03280199319124222,
-0.36217978596687317,
-1.2884632349014282,
-0.03859654068... |
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 is below.
Q: 7
A: Yes
Rationale: 7 is a prime number as it has no factors greater than 1. So, it can't be ... | Yes | 9 | NIv2 | task092_check_prime_classification | fs_opt | [
-0.5033984184265137,
1.1819818019866943,
0.12791547179222107,
-0.034263402223587036,
-0.3589105010032654,
-0.472116082906723,
0.7529178261756897,
0.789047360420227,
0.41264915466308594,
-0.3315156102180481,
-0.5704238414764404,
0.008700856938958168,
-0.4048079252243042,
-0.0419379211962223... |
Detailed Instructions: In this task, you will be presented with a question that has multiple possible answers. You should choose the most suitable option out of "A", "B", "C", "D", and "E", based on your commonsense knowledge.
Q: Question: How does a meteor travel around galactic objects?
Options: A sky B outerspace ... | E | 9 | NIv2 | task1135_xcsr_en_commonsense_mc_classification | zs_opt | [
-0.2561635971069336,
0.6441099643707275,
0.20485834777355194,
-0.18191206455230713,
-0.20865902304649353,
-0.5593199729919434,
-0.6012188196182251,
0.1653752624988556,
0.3066721558570862,
-0.07636644691228867,
-0.1855071485042572,
-0.18527677655220032,
0.4506172835826874,
-0.76384425163269... |
You are given a sentence in English. Your job is to translate the English sentence into Japanese.
One example: And it was primarily because Kiribati realized that this was in their own self-interest to do this.
Solution is here: 第一にキリバス共和国が彼ら自身の利益になると理解したからです
Explanation: The English sentence is correctly translated in... | これはまさに認知の罠です | 6 | NIv2 | task1218_ted_translation_en_ja | fs_opt | [
0.925148606300354,
0.39845460653305054,
0.2853263020515442,
-0.5516742467880249,
-0.3430284261703491,
-1.4048906564712524,
0.9394105672836304,
-0.7134144306182861,
0.14726248383522034,
-0.4631989598274231,
-0.39696627855300903,
-0.0527222603559494,
-0.6457563638687134,
0.4672887921333313,
... |
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 probability of it bei... | إن تقليد الحضور في الصف يساق إلى عِصْرٍ شديد.
| 0 | NIv2 | task414_mickey_ar_sentence_perturbation_generation | fs_opt | [
-0.39314210414886475,
0.6574897766113281,
-0.16734012961387634,
-0.08129958808422089,
-0.26583054661750793,
-0.44713208079338074,
0.9194270372390747,
0.8484020233154297,
-0.2141357660293579,
-0.0029305731877684593,
-0.9125415086746216,
0.13449706137180328,
-1.062317132949829,
0.26095366477... |
In this task, you are given a hateful post in English from online platforms. You are expected to classify the post into two classes: aggresive or non-aggresive. An aggresive post is one that expresses feelings and opinions in an abusive way and tries to dominate others. Note that the URLs in the text have been replaced... | Aggresive
| 5 | NIv2 | task335_hateeval_classification_aggresive_en | fs_opt | [
-0.7284029722213745,
0.585136890411377,
0.8779909610748291,
0.35211968421936035,
-0.3586510419845581,
-0.6985912919044495,
0.2446187287569046,
0.5965684652328491,
0.055896077305078506,
0.2217724323272705,
0.08792892098426819,
-0.2626758813858032,
-0.7868212461471558,
-0.2544708251953125,
... |
Teacher:You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese.
Teacher: Now, understand the problem? Solve this instance: (Risate) La realtà è che, nei paesi occidentali, spesso ci ostiniamo a perseguire la felicità come se fosse qualcosa che dobbiamo uscire a — un oggetto che... | （ 笑い ） 事実、西洋文化では「幸福の追求」によく焦点が当てられる。まるで幸福とは追いかけて捕まえなくてはならないもののように。 | 6 | NIv2 | task1248_ted_translation_it_ja | zs_opt | [
-0.42444413900375366,
0.6737589240074158,
0.04440893232822418,
-0.581081748008728,
-0.4958448112010956,
-0.017024535685777664,
0.4062376022338867,
0.9908052682876587,
0.2116425335407257,
-0.253652423620224,
-0.5102850198745728,
-0.006415278650820255,
-0.3043137192726135,
0.2356213927268982... |
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 concatenate all elements of A from the ith element to the jth element, and print the resultant string. i and j will be non-negative, and will always have a value... | Ct9607 | 5 | NIv2 | task100_concatenate_all_elements_from_index_i_to_j | zs_opt | [
-0.03095603734254837,
0.9967644214630127,
-0.20740419626235962,
-0.19976657629013062,
0.10119014978408813,
0.37496066093444824,
-0.05416528508067131,
0.07000051438808441,
-0.010557346045970917,
-0.21902614831924438,
-0.5920727849006653,
-0.12214802950620651,
0.05579115450382233,
-0.3165704... |
You are given a sentence in English. Your job is to translate the English sentence into Japanese.
Example Input: And words and enthusiasm actually happen to be the recipe for lexicography. Isn't that great?
Example Output: そして単語と熱意は辞書編纂にも求められますすごいことだと思いませんか ？
Example Input: It took about three to four hours to run th... | 異なる素材を組み合わせて好きな形を作り素材の特性を埋め込めます
| 3 | NIv2 | task1218_ted_translation_en_ja | fs_opt | [
-0.18490037322044373,
0.07948338985443115,
0.33564868569374084,
-0.3466535210609436,
-0.10457442700862885,
-0.4868679642677307,
0.47023671865463257,
-0.12134882807731628,
0.013811987824738026,
-1.0629804134368896,
-0.6771916151046753,
0.11520425975322723,
0.2606085538864136,
0.112468920648... |
Detailed Instructions: In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every even number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no even numbers i... | [20000, -12, -224000, -280, 1656, -576, 1008, -3200, 576, 528, 8624, 0] | 9 | NIv2 | task851_synthetic_multiply_evens | zs_opt | [
-0.08639650046825409,
0.7530750036239624,
-0.5119993686676025,
-0.5961926579475403,
0.11080683767795563,
-0.2706187963485718,
1.537684679031372,
-0.012247267179191113,
0.07843199372291565,
-0.0709492564201355,
-0.2843073606491089,
0.7462797164916992,
-0.614290714263916,
-0.0681731253862381... |
In this task, you are given books product reviews in Japanese language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Example: 少年心 . 重松さんの作品の中でも、一番共感できる作品。 周りの人達に心を閉ざし、気が付いたら周りと距離を置くようになっていた少年が徐々に成長し、心を開いていく... | Solution: POS | 5 | NIv2 | task485_cls_japanese_books_classification | fs_opt | [
0.5298981666564941,
-0.2553185224533081,
0.05050136148929596,
-0.37150222063064575,
0.4056168794631958,
-0.4326333999633789,
1.142060399055481,
-0.09885156154632568,
-0.15634819865226746,
-0.10362080484628677,
-0.6709067821502686,
-0.0371943935751915,
-0.26140880584716797,
0.30191412568092... |
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 preceding the last i elements. i will always have a value less than the length of A.
6, ['N', '3531', '6877', '1013', '3051', 'z', '5691', '8729', '8319', 'g', '8857', '1131', '4879', 'a', '9931', ... | N, 3531, 6877, 1013, 3051, z, 5691, 8729, 8319, g, 8857, 1131, 4879, a, 9931, y, 4823, o, 1113, f, m, p, m, o | 0 | NIv2 | task078_all_elements_except_last_i | zs_opt | [
0.5154854655265808,
-0.024330884218215942,
0.04060442000627518,
-0.6893132925033569,
-0.5156381130218506,
-0.28201472759246826,
0.5323768854141235,
-0.3464334309101105,
-0.48870423436164856,
-0.516265869140625,
-1.196683645248413,
-0.24327906966209412,
0.05424216017127037,
-0.3644035160541... |
Generate an appropriate single-sentence summary for the given text such that it includes the main topic of the text.
Example: By Marianna SpringSpecialist disinformation reporter, BBC News The adverts show the Democratic Party challenger with an earpiece, and say that he refused to have his ears checked for devices pri... | Solution: Fifty-three people were discharged from hospital into Welsh care homes within 15 days of a positive Covid test at the start of the pandemic. | 5 | NIv2 | task1357_xlsum_summary_generation | fs_opt | [
0.29237931966781616,
0.5903863906860352,
-0.671661376953125,
-0.12824344635009766,
0.19993586838245392,
0.03295595571398735,
0.4594886004924774,
1.045300006866455,
-0.2094654142856598,
0.1746523082256317,
-0.011457890272140503,
0.6826304197311401,
-0.41018474102020264,
0.1476481407880783,
... |
You will be given a definition of a task first, then some input of the task.
A text is given in Tamil. Translate it from the Tamil language to the English language. The translation must not omit or add information to the original sentence.
மேலும் நீங்கள் உண்மைகளை மறைத்துவிட்டீர்கள்.
Output: | Moreover, you had hidden the facts. | 1 | NIv2 | task992_pib_translation_tamil_english | zs_opt | [
-0.10741157829761505,
0.6784513592720032,
0.6476102471351624,
0.20781096816062927,
-0.06826894730329514,
-0.7362401485443115,
0.34126216173171997,
0.28771108388900757,
-0.18433523178100586,
-0.119179368019104,
0.16788971424102783,
0.10558386892080307,
-0.6518255472183228,
-0.04980248212814... |
Given the task definition and input, reply with output. 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 t... | REFERENCE minutes | 5 | NIv2 | task304_numeric_fused_head_resolution | zs_opt | [
-0.4480060338973999,
0.779893159866333,
-0.434182345867157,
0.4900123178958893,
-0.4677674472332001,
-0.14566388726234436,
1.143262267112732,
0.6047956943511963,
0.3038381338119507,
-0.005230287555605173,
-0.5824233293533325,
0.6715092658996582,
-0.13946157693862915,
0.02334439381957054,
... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
Ex Input:
Imaginem uma longa lista de, digamos, 250 factos.
Ex Output:
تخيلوا قائمة طويلة من 250 حقيقة.
Ex Input:
De facto, se olharmos para o código genético, é a única doença que conseguimos ver que pessoas que v... | هل يمكن أن يكون الطب عن طريق الخلية و ليس عن طريق الدواء ؟
| 1 | NIv2 | task1277_ted_translation_pt_ar | fs_opt | [
-0.6913203597068787,
0.06227993965148926,
-0.6284908652305603,
-0.8565787672996521,
-1.159677267074585,
-0.9639670848846436,
0.3640739917755127,
0.9368999004364014,
0.6662470102310181,
-0.11098968982696533,
-1.3000507354736328,
0.9237105846405029,
-0.6679609417915344,
-0.15789936482906342,... |
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... | "صندوق بريد عندما يكون أحد فروعه" | 2 | NIv2 | task414_mickey_ar_sentence_perturbation_generation | zs_opt | [
-0.5163739323616028,
0.15264645218849182,
0.42324408888816833,
-0.4213438034057617,
-0.4434158205986023,
0.30636927485466003,
0.9163293838500977,
0.18041172623634338,
0.9218845367431641,
-0.445846825838089,
-1.286797285079956,
0.09586500376462936,
-0.46518373489379883,
0.16374483704566956,... |
You are given a sentence in English. Your job is to translate the English sentence into Galician.
Q: It has lower taxes.
A: | Pero ten impostos máis baixos. | 4 | NIv2 | task1090_ted_translation_en_gl | zs_opt | [
-1.292728066444397,
0.7032120227813721,
-0.032672710716724396,
-0.4024740159511566,
0.31833910942077637,
-1.8008661270141602,
-0.029227524995803833,
1.3986432552337646,
0.0820033848285675,
0.6991693377494812,
0.06217241659760475,
0.11556831002235413,
-0.2604548931121826,
0.3224399089813232... |
In this task, you will be presented with a question in Dutch language, and you have to write the named entities from the question if present. B denotes the first item of a phrase and an I any non-initial word. Here is the list of terms used: person names (PER), organizations (ORG), locations (LOC) and miscellaneous nam... | Rood-Klooster: B-LOC, van: I-LOC, Oudergem: I-LOC, Vogels: B-PER, Degreef: B-PER | 4 | NIv2 | task1544_conll2002_named_entity_recognition_answer_generation | zs_opt | [
-0.4686962366104126,
0.15603725612163544,
-0.15675534307956696,
-0.14702820777893066,
-0.3590081036090851,
-0.023487109690904617,
0.9451155662536621,
-0.1916097104549408,
0.291886568069458,
-0.576178789138794,
-0.7410516738891602,
0.5744659900665283,
-0.01670658215880394,
0.517113208770752... |
Definition: 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, telephon... | N | 2 | NIv2 | task204_mnli_same_genre_classification | zs_opt | [
-1.2624483108520508,
0.5550769567489624,
0.1591595709323883,
-0.6414653062820435,
-0.25810790061950684,
0.6725000739097595,
0.36378440260887146,
0.16851703822612762,
0.22374050319194794,
-0.19513118267059326,
-0.32274240255355835,
0.08428961038589478,
-0.45086556673049927,
-0.0988570302724... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a text which is the body of a document. You are given a question and options. Pick the correct number. Don't generate anything else apart from the numbers provided in opti... | 5 | 0 | NIv2 | task633_dbpedia_14_answer_generation | fs_opt | [
-0.3169895112514496,
0.47242891788482666,
0.1701207160949707,
0.06476478278636932,
-0.1458737999200821,
0.24326643347740173,
0.40338391065597534,
0.7015392780303955,
-0.4906674921512604,
-0.3023216426372528,
-0.787972092628479,
-0.0011185298208147287,
-0.9365972280502319,
0.412871509790420... |
Given a sentence, generate what should be the most likely next statement. The next statement should be reasonable and logically correct.
--------
Question: Someone pushes the desk chair out of her way as she walks to someone. She
Answer: looks at the women.
Question: A girl with braided hair asks a worker at an eque... | sleeps in someone's bed with her arm draped over her friend.
| 7 | NIv2 | task453_swag_answer_generation | fs_opt | [
0.32254257798194885,
0.8195066452026367,
-0.6810954809188843,
-0.2997945547103882,
-0.34650078415870667,
-0.27451664209365845,
-0.03177661448717117,
-0.005137419328093529,
1.1042344570159912,
-0.253793329000473,
0.24237337708473206,
-0.02169071137905121,
-0.17723964154720306,
0.42387676239... |
Given a sentence, fill out the missing word with a 'no' or a number (between zero and ten). You should write the numbers with english alphabet, like: four instead of 4.
Blisters normally burst and crust over within three to ____ days.
five
Salsa works on the basis of Mambo - a pattern of ____ steps danced over eight ... | four
| 0 | NIv2 | task1359_numer_sense_answer_generation | fs_opt | [
0.23978345096111298,
1.1276448965072632,
0.05832468345761299,
0.009398362599313259,
0.02080925926566124,
-0.47222667932510376,
1.178804874420166,
0.6662461161613464,
-0.32463642954826355,
-0.7040194869041443,
0.017460210248827934,
1.1108875274658203,
-0.5745545625686646,
-0.113167956471443... |
Detailed Instructions: In this task, you are given a text from tweets and a boolean question whether this tweet has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Problem:Tweet: @maledicency hahahaha! it's so ... | yes | 8 | NIv2 | task196_sentiment140_answer_generation | zs_opt | [
-1.4442518949508667,
0.5068453550338745,
0.7340235710144043,
0.017694182693958282,
-0.15339231491088867,
-1.081075668334961,
0.24226847290992737,
0.39285022020339966,
0.3241412043571472,
0.7675840258598328,
-1.0240647792816162,
-0.4768196940422058,
0.05805903673171997,
-0.679949164390564,
... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that contradict each other. Your job is to alter sentence 2 so that the pair agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the... | The woman is indoors.
| 0 | NIv2 | task186_snli_contradiction_to_entailment_text_modification | fs_opt | [
-0.16433057188987732,
0.7884172201156616,
-0.21772558987140656,
-1.0053637027740479,
0.32108065485954285,
-0.09574297070503235,
0.35151633620262146,
0.4549143314361572,
0.7155071496963501,
-0.4585886597633362,
-0.9917999505996704,
-0.3453517258167267,
-0.39675015211105347,
-0.0473437123000... |
Given the task definition and input, reply with output. In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
I may go back for a certificate.
| Are you ever going back to school? | 5 | NIv2 | task568_circa_question_generation | zs_opt | [
-0.5097469091415405,
0.9632346630096436,
0.014470417983829975,
-0.1763949990272522,
0.0007192165940068662,
-0.4370242655277252,
-0.00026204390451312065,
-0.0018072493840008974,
0.4056493937969208,
-0.014672307297587395,
-0.4881080985069275,
0.3808259665966034,
-0.40073806047439575,
0.34805... |
You will be given a definition of a task first, then some input of the task.
Given a passage with a question and an answer to that question, classify if the answer actually answers the question into 'yes' or 'no'. Output 'yes' if the answer answers the question and output 'no' if the answer does not answer the question... | no | 1 | NIv2 | task846_pubmedqa_classification | zs_opt | [
-0.45348861813545227,
0.11112970858812332,
-0.36961159110069275,
0.2050178050994873,
0.0831369012594223,
0.1150158941745758,
0.41964513063430786,
0.9758973121643066,
0.9312366247177124,
-0.13986773788928986,
-0.45790594816207886,
0.21080678701400757,
-0.4719422161579132,
0.8502547740936279... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.