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: Given a sentence, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
Verify if the sentiment of the following document towards the entity Bill Maher Bill is Positive . âDisa... | yes | 7 | NIv2 | task422_persent_sentence_sentiment_verification | zs_opt | [
-0.7899928092956543,
0.07100532948970795,
0.27209335565567017,
0.3013901114463806,
-0.22088098526000977,
-1.526373028755188,
0.08459174633026123,
0.44002509117126465,
0.3943268954753876,
0.24185684323310852,
0.13496148586273193,
-0.18396282196044922,
0.1673932820558548,
-0.3078759610652923... |
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.
Input: Consider Input: [[-49, 32, -22, -27, -41],... | Output: [2520, 870205, -8200, 1880, 0, -1596672, -114144, -1680, -1320]
| 2 | NIv2 | task371_synthetic_product_of_list | fs_opt | [
0.24073722958564758,
-0.012908386997878551,
-0.9863288402557373,
-0.09705165773630142,
0.0664098709821701,
-0.6814629435539246,
1.1301019191741943,
0.4689631164073944,
-0.4615671634674072,
-0.2079342007637024,
-0.8579015135765076,
0.1444281041622162,
-0.575243353843689,
-0.4280114769935608... |
Given a sentence, generate a most likely context or previous statement. The previous statement should be relevant to the given statement.
Ex Input:
A man sits panned in there is a wheel on his car.
Ex Output:
He moves behind the palm tree near the walk.
Ex Input:
The girls move to the left side and perform the same... | Someone arrives in his suv.
| 1 | NIv2 | task455_swag_context_generation | fs_opt | [
-0.49718308448791504,
0.3065798878669739,
-0.5644454956054688,
-0.14167560636997223,
-0.3556070327758789,
-0.41153615713119507,
0.15634122490882874,
1.2498087882995605,
0.5575306415557861,
0.6527762413024902,
-0.42130905389785767,
0.2719483971595764,
-0.17397427558898926,
-0.04215346649289... |
Definition: In this task, you are given a question and answer options for that question. Using this information, you have to classify each text into different topics: medicine, nursery, psychology, chemistry, pharmacology, biology.
Input: Question: The most accurate measurement of body temperature in an unconscious pat... | nursery | 2 | NIv2 | task1434_head_qa_classification | zs_opt | [
-0.06355871260166168,
0.14643464982509613,
-0.4410574436187744,
0.08094562590122223,
0.22464171051979065,
-0.2570528984069824,
0.2948795258998871,
-0.22099743783473969,
0.2885556221008301,
0.026870811358094215,
-0.1337156742811203,
-0.1888132244348526,
0.041606493294239044,
0.1941694766283... |
Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be ... | Does hypernatremia predict adverse cardiovascular and neurological outcomes after SAH? | 4 | NIv2 | task847_pubmedqa_question_generation | zs_opt | [
0.8812931180000305,
-0.0699048638343811,
-0.46072065830230713,
-0.3096393346786499,
0.29938215017318726,
-0.6369717121124268,
0.0730176717042923,
0.7930186986923218,
-0.5422408580780029,
0.04147178679704666,
-0.38066408038139343,
0.10823509842157364,
-0.16228362917900085,
0.344801098108291... |
You will be given one or more triples. The second part of each triple shows the relation between the first and the third element. Your task is to write a simple and short piece of text (sentence(s)) that describes the triples in natural language.
One example: Amsterdam_Airport_Schiphol | runwayName | "09/27 'Buitenveld... | Anaheim, California has a total area of 131.6 square kilometres. | 6 | NIv2 | task1728_web_nlg_data_to_text | fs_opt | [
-0.5852372646331787,
0.924342155456543,
-0.14194798469543457,
-1.1460368633270264,
-0.7388548254966736,
0.3070274889469147,
0.7845253944396973,
-0.11389783769845963,
0.06441063433885574,
-0.35083258152008057,
-0.5985398292541504,
1.146951675415039,
-0.4891543388366699,
-0.3147500157356262,... |
In this task, you will be shown a sentence, and you should determine whether it is overruling or non-overruling. In law, an overruling sentence is a statement that nullifies a previous case decision as a precedent by a constitutionally valid statute or a decision by the same or higher ranking court which establishes a ... | non-overruling | 9 | NIv2 | task274_overruling_legal_classification | fs_opt | [
-0.35556748509407043,
0.7189345359802246,
0.6128149032592773,
-0.06688585877418518,
-0.18910735845565796,
-0.7665258646011353,
0.11779367923736572,
0.8859714865684509,
0.26229381561279297,
-0.40798813104629517,
-0.4221237301826477,
-0.5691947340965271,
-0.40116846561431885,
-0.291050851345... |
Teacher: In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. There are several possible answers, you'll need to choose the proper one. Carefully read the given text, p... | REFERENCE car | 2 | NIv2 | task304_numeric_fused_head_resolution | fs_opt | [
-0.1746247261762619,
0.2716180086135864,
-0.6964952349662781,
0.06189943850040436,
-0.24845103919506073,
-0.23787100613117218,
1.2403919696807861,
0.7550480961799622,
0.10645388066768646,
-0.02889719232916832,
-0.3997846245765686,
0.17839494347572327,
-0.11094522476196289,
0.01226729806512... |
Instructions: In this task you are given a sentence with one coordinating conjunction (for, and, nor, but, or, yet, and so). You must judge whether the order of two coordinated clausal conjoints have been inverted or not. Inversion would result in the sentence sounding unnatural. Label the instances as "Original" or "I... | Inversion | 3 | NIv2 | task516_senteval_conjoints_inversion | zs_opt | [
-0.2677323818206787,
0.8869286775588989,
0.4051153063774109,
0.08477343618869781,
0.2132096290588379,
-0.7114337086677551,
0.30588412284851074,
0.7206708192825317,
-0.31569162011146545,
-0.22254237532615662,
-0.7546592354774475,
-0.43064868450164795,
-1.1844168901443481,
-0.370994716882705... |
Given the task definition and input, reply with output. You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
בעיקר בגלל שאנשים כמו דזמונד טוטו התחילו בתהליך "" שלב חמש "" כדי לערב את אלפי ואולי מיליוני השבטים במדינה, לאחד את כולם.
| デズモンド・ツツのような人たちがステージ5のプロセスを作り上げたのが大きな理由です誰もが関わるように何千いや何百万もの集団を巻き込みました | 5 | NIv2 | task1235_ted_translation_he_ja | zs_opt | [
-0.019772158935666084,
0.1231289803981781,
0.4969257116317749,
0.6753729581832886,
-0.19491569697856903,
0.13131868839263916,
0.9630413055419922,
0.02015320584177971,
0.2827841639518738,
-0.8461816906929016,
-0.41061732172966003,
-0.1425018608570099,
-0.7957144975662231,
0.0728965923190116... |
Definition: In this task, you are given a set of context paragraphs, some supporting facts and an answer of a question. Your task is to generate question for given answer based on set of context paragraphs, supporting facts and an answer.
Input: Context_1 : Stephen Gillett is a technology and business leader. Currently... | What was the profession of the father of the Executive Vice President of the Baltimore Orioles? | 2 | NIv2 | task191_hotpotqa_question_generation | zs_opt | [
-0.3233274519443512,
0.06763902306556702,
-0.4495137929916382,
0.09129054099321365,
0.5150454044342041,
0.24578332901000977,
0.3467252552509308,
0.6272861957550049,
0.17812113463878632,
0.44869232177734375,
0.2294078916311264,
0.684157133102417,
-0.2550939917564392,
0.5953497290611267,
0... |
Teacher: Translate from Hindi to English such that it preserves the original meaning Perform complete translation (partially translated sentences are considered incorrect).
Teacher: Now, understand the problem? If you are still confused, see the following example:
रोजगार कार्यालय जाओ.
Solution: Go to the employment of... | What are you doing down here? | 2 | NIv2 | task1323_open_subtitles_hi_en_translation | fs_opt | [
-0.6277732253074646,
0.0029928735457360744,
0.49547767639160156,
0.18163083493709564,
0.3438722491264343,
-0.7751889824867249,
-0.24567314982414246,
0.2581954002380371,
0.023146770894527435,
-0.04525478929281235,
0.048778049647808075,
-0.39678022265434265,
0.16763241589069366,
0.2003099620... |
instruction:
In this task, you're given a statement and three sentences as choices. Your job is to determine the neutral choice based on your inference from the statement and your commonsense knowledge. The neutral choice is a sentence that neither agrees nor disagrees with the statement. Indicate your answer as '1', '... | 3
| 9 | NIv2 | task201_mnli_neutral_classification | fs_opt | [
-0.1323617696762085,
0.17112940549850464,
-0.39630478620529175,
0.11519209295511246,
-0.7349454164505005,
-0.18504439294338226,
0.8453638553619385,
0.9114804267883301,
0.3529137372970581,
-0.05173520743846893,
-0.45999765396118164,
0.27460068464279175,
0.10609402507543564,
-0.2256677001714... |
Translate the given Spanish text to English
A composition for viscosifying a nonaqueous base liquid. | Una composición para viscosificar un líquido base no acuoso. | 0 | NIv2 | task840_para_pdt_en_es_translation | zs_opt | [
0.4939306080341339,
1.2688015699386597,
0.15293508768081665,
0.003921907860785723,
0.2502272129058838,
0.23384568095207214,
1.3104861974716187,
0.13848763704299927,
0.30705562233924866,
0.7010450959205627,
0.055231377482414246,
-0.9971914887428284,
-0.4666702151298523,
-0.1728518009185791,... |
Given an Amazon customer review, write a title for the review. The preferred titles are under fifteen words.
Q: It says "iPad" but it also works with android devices without a problem, I have not tried it in other products but the information that came with it says that it can connect to mac and pc´s too.
A: | Nice keyboard for android | 4 | NIv2 | task1342_amazon_us_reviews_title | zs_opt | [
0.40855759382247925,
0.7796608209609985,
-0.3167230188846588,
-0.9899781346321106,
0.04389185830950737,
-0.28392279148101807,
0.24575166404247284,
-0.1809011548757553,
0.1052519753575325,
0.26021432876586914,
-0.1291567087173462,
0.25353458523750305,
-0.20223399996757507,
-0.40167313814163... |
Part 1. Definition
You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
Part 2. Example
Agora, está ao lado, ou na miña casa.
Answer: Now, it's next door, or in my house.
Explanation: The Galician sentence is correctly translated into English. `casa` is correctly translated... | It's risk. It's reward. It's randomness. | 7 | NIv2 | task1238_ted_translation_gl_en | fs_opt | [
-0.3574177026748657,
1.2481112480163574,
0.13287660479545593,
-0.6477574110031128,
0.04717734828591347,
-0.7821705937385559,
1.0043007135391235,
0.5535333156585693,
-0.019055448472499847,
-0.30495887994766235,
-0.8149774074554443,
0.7141582369804382,
-1.2338922023773193,
0.1386645436286926... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.
Q: De igual modo, habría sorprendido que actuara bajo las órdenes de Marduk.
A: و به همان میزان ، او تعجب نمی کند که کورش تحت فرمانهای مردوک عمل میکند.
****
Q: Y se quedan en ese lugar.
A: پس بر روی آخرین نقطه نگه داشته ... | و دخترها برای مادر شدن تربیت می شوند.
****
| 4 | NIv2 | task1103_ted_translation_es_fa | fs_opt | [
-0.4073878228664398,
0.4012758135795593,
-0.23203814029693604,
-0.3835037350654602,
-0.42731308937072754,
-0.2636263966560364,
0.7397838830947876,
0.581446647644043,
0.3717534840106964,
0.2943134903907776,
-0.6837219595909119,
-0.027797318994998932,
-0.5864884853363037,
0.7480294704437256,... |
Given a text, write a compressed version of it in a single sentence.
Example: Except for this small vocal minority, we have just not gotten a lot of groundswell against this from members, " says APA president Philip G. Zimbardo of Stanford University.
Example solution: "Except for this small vocal minority, we have not... | Solution: In two ways, the government handles the problem of joint-intelligent management. | 5 | NIv2 | task1340_msr_text_compression_compression | fs_opt | [
-0.6210509538650513,
0.6067863702774048,
0.5301192998886108,
-0.4347652196884155,
-0.005774195771664381,
-1.4165935516357422,
0.4667678475379944,
0.7479581832885742,
-0.21681611239910126,
0.5338068008422852,
-0.6444240808486938,
-0.25401070713996887,
-0.4642036259174347,
-0.036375399678945... |
Q: In this task, you're given a passage, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both passage and link information to create th... | What player was chosen first overall in the draft after which Banks was signed as undrafted free agent? | 7 | NIv2 | task236_iirc_question_from_passage_answer_generation | zs_opt | [
0.7490615248680115,
0.3876942992210388,
-1.0513103008270264,
0.7499625086784363,
-0.3469253480434418,
-0.8976062536239624,
0.20478540658950806,
0.47328615188598633,
-0.26811105012893677,
0.05452004447579384,
-0.0055957818403840065,
0.6644110083580017,
-0.4034995138645172,
0.035110697150230... |
Part 1. Definition
Given a scientific passage and an answer, generate a question for the given answer.
Part 2. Example
Passage: A frameshift mutation is a deletion or insertion of one or more nucleotides that changes the reading frame of the base sequence. Deletions remove nucleotides, and insertions add nucleotides. C... | What kind of muscle is responsible for making the human heart beat? | 7 | NIv2 | task594_sciq_question_generation | fs_opt | [
0.7144147157669067,
0.07399121671915054,
-0.790118396282196,
0.2938304543495178,
0.17162594199180603,
-0.20658794045448303,
1.20585036277771,
0.4316370487213135,
0.7084581255912781,
-0.3799242675304413,
-1.0281834602355957,
-0.4357805848121643,
-0.9013177156448364,
0.13499335944652557,
0... |
Detailed Instructions: Given an input word generate a word that rhymes exactly with the input word. If not rhyme is found return "No"
Q: would
A: | stood | 9 | NIv2 | task183_rhyme_generation | zs_opt | [
0.29634594917297363,
1.5151418447494507,
0.04924890398979187,
-0.1222187951207161,
-0.4804077744483948,
-0.13396281003952026,
0.227286234498024,
0.02673042006790638,
-0.24876350164413452,
0.05279779061675072,
0.23620684444904327,
-0.45331814885139465,
-0.4156152009963989,
-0.08233693242073... |
You will be given a sentence. Check whether the sentence is grammatically correct and is meaningful. If the sentence is grammatically correct, then answer with '1', otherwise answer with '0'.
Let me give you an example: Our friends won't buy this analysis, let alone the next one we propose.
The answer to this example ... | 0 | 8 | NIv2 | task1346_glue_cola_grammatical_correctness_classification | fs_opt | [
-0.036671232432127,
0.8354633450508118,
-0.270516574382782,
-0.4116989076137543,
0.0937260091304779,
-0.8618202209472656,
0.7572551369667053,
0.0801643505692482,
0.33839666843414307,
0.09331884980201721,
0.011694126762449741,
-0.30488109588623047,
-0.21957910060882568,
-0.1349533051252365,... |
Definition: You are given a sentence and a question. You're expected to write the correct answer based on the sentence.
Input: Sentence: A nerd and a jock each had a tennis ball. The nerd through his ball, and it went only a couple feet. The jock threw his ball and it went so far away it couldn't be seen any more. Ques... | the jock through his ball farther | 2 | NIv2 | task1382_quarel_write_correct_answer | zs_opt | [
-0.3567318916320801,
0.6577706336975098,
-0.35308942198753357,
0.0014000884257256985,
0.45157745480537415,
-0.10552690923213959,
0.4770823121070862,
0.26182442903518677,
0.6657126545906067,
-0.30525749921798706,
-0.4451294541358948,
0.4221350848674774,
-0.7743222117424011,
-0.2946553230285... |
instruction:
In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B".
question:
Erin had a lot of earwax unlike Rebecca so _ had a difficult time hearing things. (A) Erin (B) Rebecca
answer:
A
question:
Brian ... | B
| 9 | NIv2 | task1391_winogrande_easy_answer_generation | fs_opt | [
0.508641242980957,
0.3617936372756958,
0.39718422293663025,
-0.13667812943458557,
0.0025588979478925467,
-0.23453055322170258,
0.7720953226089478,
0.450035959482193,
0.6805216670036316,
-0.039749398827552795,
0.03923242539167404,
0.4918144941329956,
-0.05484006553888321,
0.0911192893981933... |
In this task you will be given an arithmetic operation and you have to find its answer. The symbols of operators '+' and '-' has been swapped i.e you need to perform subtraction when you see a '+' symbol and addition in case of '-' symbol.
One example is below.
Q: 5 + 3
A: 2
Rationale: Here, '+' represents subtraction... | 8425 | 9 | NIv2 | task085_unnatural_addsub_arithmetic | fs_opt | [
-0.0969647765159607,
0.051166728138923645,
-0.7499265670776367,
0.4290969669818878,
-0.16526632010936737,
-0.26952308416366577,
0.7379566431045532,
1.3705484867095947,
0.608365535736084,
-0.3582695722579956,
-0.5876467227935791,
-0.70319664478302,
-0.18102861940860748,
0.26873570680618286,... |
Q: In this task, you need to count the number of times the given letter appears in the given sentence.
Sentence: 'people waiting for a subway train in a station'. Find frequency of the letter 'a'
A: | 6 | 7 | NIv2 | task113_count_frequency_of_letter | zs_opt | [
-0.27661001682281494,
0.3718864321708679,
-0.8027579188346863,
-0.4801495671272278,
-0.3737989068031311,
0.03926545009016991,
0.2901911437511444,
0.6173290610313416,
0.6563623547554016,
-0.2992073893547058,
-0.3554459810256958,
-0.4800826907157898,
0.7372424006462097,
-0.07426045835018158,... |
Teacher:In this task, you get an English sentence and a corresponding Spanish translation of the English sentence. Your task is to return a "Yes" if the translation is correct, otherwise return "No"
Teacher: Now, understand the problem? Solve this instance: English: Is a substance as poisonous as cyanide really to be u... | Yes | 6 | NIv2 | task532_europarl_en-es_classification | zs_opt | [
0.11692581325769424,
0.6958982944488525,
-0.3249455690383911,
0.23374029994010925,
-0.20636388659477234,
-1.3297942876815796,
-0.4383408725261688,
1.3914705514907837,
-0.1518293023109436,
0.023169664666056633,
0.033806927502155304,
0.037840209901332855,
-0.26759618520736694,
-0.55569255352... |
Part 1. Definition
You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equally likely to fill the blank. There should be an agreed upon... | PersonX asked PersonY for an advice how to write a song, because _ is bad at writing. | 7 | NIv2 | task032_winogrande_question_generation_person | fs_opt | [
0.5895457863807678,
0.31513774394989014,
0.5360860824584961,
0.1832519769668579,
0.28742215037345886,
-0.7295591235160828,
0.5236065983772278,
1.0610110759735107,
0.36519038677215576,
-0.9103584289550781,
-0.8794131278991699,
0.19509729743003845,
-0.3050188720226288,
-0.3112797737121582,
... |
Instructions: 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) replace... | guty | 3 | NIv2 | task088_identify_typo_verification | zs_opt | [
-0.784885585308075,
0.2388843297958374,
0.06881066411733627,
0.6294702291488647,
0.6163279414176941,
-0.965266227722168,
0.8730031847953796,
-0.39803385734558105,
0.3870299756526947,
-0.027611473575234413,
-0.24719518423080444,
-0.03644030913710594,
-0.5962327718734741,
-0.1813760697841644... |
Detailed Instructions: In this task, you are given a sentence in the Spanish language. Your task is to translate the Spanish sentence into the English language.
Q: ¿Cuál de las siguientes pruebas es más importante para el diagnóstico de las leucemias agudas?
A: | Which of the following tests is more important for the diagnosis of acute leukemia? | 9 | NIv2 | task1433_head_qa_language_translation_es_to_en | zs_opt | [
-0.6681809425354004,
1.0797942876815796,
0.0843384712934494,
-0.8836832046508789,
0.13011789321899414,
0.19010135531425476,
-0.047558948397636414,
0.4544306993484497,
0.2698412239551544,
-0.4348221719264984,
0.10534710437059402,
0.4583338797092438,
-0.3803427815437317,
1.0567374229431152,
... |
In this task you will be given a list, of lists, of numbers. Each list is presented with brackets and comma-separated values. For example, a list of numbers is [1,2,3] and a list of two lists of numbers is [[1,2],[3,4,6]]. You should sum up the values at every position of every inner list and put it as an element of yo... | [16, -127, 246, -109, -20, 20, 156, 76, -12] | 8 | NIv2 | task122_conala_list_index_addition | fs_opt | [
0.614545464515686,
0.08610183000564575,
-0.7899371385574341,
-0.1985970437526703,
0.20318840444087982,
0.07848235964775085,
0.6172298192977905,
0.5039868950843811,
-0.46329265832901,
-0.2649448812007904,
-0.6100759506225586,
0.24457773566246033,
-0.17769597470760345,
-0.49994710087776184,
... |
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 and category of the product based on the review given by the user and your task is classify whether the given category match the review. Generate "True" if given review and its category match, ot... | True | 1 | NIv2 | task1308_amazonreview_category_classification | zs_opt | [
-0.041295915842056274,
0.26270365715026855,
0.09539123624563217,
-0.020847225561738014,
0.2719423174858093,
0.08780742436647415,
0.7991301417350769,
0.33168336749076843,
-0.08850152045488358,
0.34660205245018005,
-0.4363250434398651,
0.008111389353871346,
-0.48634660243988037,
-0.194201603... |
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... | Lincoln glanced upward. | 0 | NIv2 | task203_mnli_sentence_generation | zs_opt | [
-1.1992199420928955,
0.4538516104221344,
0.2681262195110321,
0.01485416479408741,
0.03187193721532822,
-0.6266217231750488,
-0.38605690002441406,
0.3094714879989624,
0.5059467554092407,
-0.1364172250032425,
-0.08960700035095215,
-0.2610131502151489,
-1.2020007371902466,
0.42700934410095215... |
Part 1. Definition
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... | 24611978 | 7 | NIv2 | task1443_string_to_number | fs_opt | [
-0.11925776302814484,
1.172353744506836,
-0.7323365211486816,
-0.7277647852897644,
-0.4693828523159027,
-0.35841745138168335,
1.0086770057678223,
-0.15180253982543945,
0.018776750192046165,
-0.35916945338249207,
-0.802131175994873,
0.4600145220756531,
-1.522874355316162,
-0.585462987422943... |
Definition: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to classify the conversation either convey 'No emotion' or 'Happiness' by providing '1' and '0', respectively.
Input: Person1: I haven't met the Smiths for a long ti... | 0 | 2 | NIv2 | task1536_daily_dialog_happiness_classification | zs_opt | [
-0.4754892587661743,
-0.2587473392486572,
-0.1989990621805191,
-0.471000611782074,
0.17265278100967407,
0.18719743192195892,
0.23180247843265533,
-0.14808271825313568,
0.5469922423362732,
-0.1266929805278778,
-0.2845304608345032,
-0.49506521224975586,
-0.16661664843559265,
-0.0076427613385... |
Detailed Instructions: 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.
... | [99, 182, 171, 39, 84, 58, 261, 134, 130, 105] | 4 | NIv2 | task374_synthetic_pos_or_neg_calculation | fs_opt | [
-0.3072579503059387,
0.24607810378074646,
-0.2979673743247986,
-0.12655508518218994,
0.27119970321655273,
-0.4998604655265808,
1.319209337234497,
0.5785949230194092,
-0.3322463929653168,
0.11460746824741364,
-0.45892930030822754,
0.20785874128341675,
-0.5086584687232971,
-0.327223718166351... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.
passage: The Doctor of Business Administration (abbreviated DBA, D.B.A., DrBA, or Dr.B... | Yes | 1 | NIv2 | task380_boolq_yes_no_question | zs_opt | [
-0.0026572365313768387,
0.2037079632282257,
-0.03846166655421257,
-0.5703479051589966,
-0.24052035808563232,
0.15734627842903137,
0.8093146085739136,
0.2005774825811386,
0.8277475833892822,
-0.08988648653030396,
-0.9139735102653503,
0.7265099287033081,
0.2462947964668274,
0.072368040680885... |
instruction:
In this task you will be given a text passage from a trivia quiz. You should choose the category this question belongs to from these categories: History, Science, Social Science, Fine Arts, Literature. You can only choose one category, so if in doubt, please choose the closest match.
question:
Believed to ... | History
| 9 | NIv2 | task521_trivia_question_classification | fs_opt | [
0.551048994064331,
0.1635715216398239,
-0.4135738015174866,
-0.22623805701732635,
-0.013646148145198822,
-0.4202342927455902,
0.2587123513221741,
0.8250798583030701,
0.23247286677360535,
0.25442224740982056,
-0.4543421268463135,
0.4270724952220917,
-0.9906491637229919,
-0.05371509864926338... |
Given a paragraph and a question in Spanish, answer the question from the text. Your answer should be directly extracted from the passage, and it should be a single entity, name, or number, not a sentence.
Let me give you an example: Párrafo: Martín Lutero se casó con Katharina von Bora, una de las 12 monjas a las que... | Universidad de París | 8 | NIv2 | task1610_xquad_es_answer_generation | fs_opt | [
0.6095342636108398,
0.8739210367202759,
-0.529377818107605,
-0.1973986029624939,
0.062450721859931946,
-0.604957103729248,
0.6537843942642212,
1.0135438442230225,
-0.03429484739899635,
0.12001561373472214,
0.7336030006408691,
0.3930639922618866,
-0.9318554401397705,
0.2069447636604309,
-... |
Given the task definition and input, reply with output. In this task, you're given a passage, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output... | Answer: North American Soccer League | 5 | NIv2 | task238_iirc_answer_from_passage_answer_generation | zs_opt | [
0.06267018616199493,
-0.0025841309688985348,
-0.4689726233482361,
-0.024373244494199753,
0.6143641471862793,
-0.19091862440109253,
0.4354335069656372,
0.9468682408332825,
-0.1338355541229248,
-0.3665172755718231,
-0.7392503023147583,
1.2411882877349854,
-0.6576473712921143,
-0.118671134114... |
instruction:
A text is given in English. Translate it from the English language to the Telugu language. The translation must not omit or add information to the original sentence.
question:
పట్టణ ప్రాంతాలలో పేదలుండే బస్తీలలో, ముఖ్యంగా మహిళలు మరుగుదొడ్లు లేక ఎదుర్కొంటున్న న్యూన పరిస్దితిని రూపుమాపాలని అన్నారు. ప్రజల భాగస... | Today, in the twenty-eighth meeting, the Prime Minister reviewed the progress of nine important infrastructure projects in the railway, road, and petroleum sectors.
| 9 | NIv2 | task1048_pib_translation_telugu_english | fs_opt | [
0.5427470207214355,
0.2598732113838196,
-0.31732669472694397,
-0.3300846219062805,
0.10887924581766129,
-0.32940369844436646,
0.7014014720916748,
0.02794571965932846,
-0.4482147693634033,
0.15618184208869934,
-0.21823301911354065,
0.018836142495274544,
-0.579858660697937,
0.000488335266709... |
instruction:
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: personal or non-personal depending... | non-personal
| 9 | NIv2 | task1490_bengali_personal_hate_speech_binary_classification | fs_opt | [
-0.4863579273223877,
0.3733242452144623,
-0.10745293647050858,
-0.0456695556640625,
-0.651274561882019,
-0.9100150465965271,
0.38248956203460693,
-0.06822144985198975,
0.33105236291885376,
-0.1256462037563324,
-0.8164584636688232,
-0.1641715168952942,
-0.8034987449645996,
-0.53668975830078... |
In this task, you will be presented with a question having multiple possible answers in French language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
[EX Q]: Question: Si vous étiez paresseux, vous choisiriez probablement de regarder la télévision... | B
| 6 | NIv2 | task1136_xcsr_fr_commonsense_mc_classification | fs_opt | [
0.24241459369659424,
0.570325493812561,
-0.2405131608247757,
-0.09203919023275375,
0.3898393511772156,
-0.47534459829330444,
0.7427774667739868,
0.24055008590221405,
0.18110327422618866,
0.3096974492073059,
-0.5905194878578186,
-0.05423644185066223,
-0.44421279430389404,
-1.167679309844970... |
Teacher:In this task, you're given a four sentences of story written in natural language. Your job is to complete end part of the story by predicting appropriate last sentence which is coherent with the given sentences.
Teacher: Now, understand the problem? Solve this instance: Sentence1: Elle wanted a new car. Sentenc... | Elle was very responsible. | 6 | NIv2 | task105_story_cloze-rocstories_sentence_generation | zs_opt | [
-0.477872759103775,
0.8419595956802368,
-0.1671091467142105,
-0.754507839679718,
-0.2502279281616211,
-0.3453112840652466,
0.4902281165122986,
0.36621442437171936,
0.14214715361595154,
-0.15947972238063812,
0.36077576875686646,
-0.32084882259368896,
-0.14338630437850952,
-0.111368507146835... |
Definition: You are given a sentence in Italian. Your job is to translate the Italian sentence into Hebrew.
Input: Per cui a me diverte il fatto che questi strani e interessanti personaggi abbiano una cosa in comune: Non ascoltano quello che dicono le bambine.
Output: | לכן זה משעשע עבורי שלשותפים המוזרים, המעניניים אלה יש דבר אחד במשותף. הם לא מקשיבים לילדות קטנות. | 2 | NIv2 | task1251_ted_translation_it_he | zs_opt | [
-0.20352870225906372,
0.4046381711959839,
-0.3188263177871704,
-0.29932713508605957,
-0.2095610648393631,
0.10270622372627258,
1.0128936767578125,
0.17332589626312256,
0.8285572528839111,
0.007977991364896297,
-0.9977492094039917,
0.031752195209264755,
-1.1130470037460327,
0.13003711402416... |
Q: 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.
We put this amazing light in our finished basement for our kids to enjoy and enjoy they do! As... | 5 | 7 | NIv2 | task1310_amazonreview_rating_classification | zs_opt | [
-0.24061062932014465,
0.35641148686408997,
0.09278250485658646,
-0.0003677401691675186,
0.45052045583724976,
-0.6542133092880249,
0.7271596193313599,
0.8945087194442749,
0.08808678388595581,
0.4162834882736206,
-0.6427071690559387,
0.3341797888278961,
-0.8022705316543579,
0.086177237331867... |
You are given a sentence in English. Your job is to translate the English sentence into Japanese.
One example is below.
Q: And it was primarily because Kiribati realized that this was in their own self-interest to do this.
A: 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
Rationale: The English sentence is correctly translated into Ja... | 彼女との間の重い断絶は正に人身売買に対する一般的な理解を象徴していると思えたのです | 9 | NIv2 | task1218_ted_translation_en_ja | fs_opt | [
0.6088483929634094,
0.19867773354053497,
-0.17276081442832947,
-0.09844976663589478,
-0.2629016637802124,
-0.614158034324646,
0.8043615818023682,
-0.7142524719238281,
0.2168184518814087,
-0.09402598440647125,
-0.5775444507598877,
-0.0796174481511116,
-0.42359060049057007,
0.678099155426025... |
A text is given in Malayalam. Translate it from the Malayalam language to the Urdu language. The translation must not omit or add information to the original sentence.
രാഷ്ട്രീയ ശിശു ആരോഗ്യ പരിപാടി | راشٹریہ بال سواستھ کاریہ کر م | 0 | NIv2 | task1059_pib_translation_malayalam_urdu | zs_opt | [
0.37557512521743774,
0.9638572931289673,
-0.2524408996105194,
-0.5558630228042603,
-0.7179838418960571,
-0.12156379967927933,
0.7595354318618774,
-0.06062763184309006,
0.3040975034236908,
-0.3725475072860718,
-0.3293871283531189,
-0.06690692901611328,
-0.2684757709503174,
0.110478594899177... |
In this task, you are given a summary for US Congressional and California state bill, your task is to generate a Title for this bill. The preferred titles are under forty words and mention the purpose of the bill.
Improving Access to Medicare Coverage Act of 2017 This bill amends title XVIII (Medicare) of the Social S... | Election Infrastructure and Security Promotion Act of 2016
| 0 | NIv2 | task1659_title_generation | fs_opt | [
0.34535717964172363,
0.24803350865840912,
-0.10778722167015076,
0.4644605815410614,
0.5290194749832153,
-0.7368816137313843,
1.1021642684936523,
1.053030252456665,
-0.24726319313049316,
0.6748594641685486,
0.08899764716625214,
0.7304507493972778,
-0.13084456324577332,
-0.019745763391256332... |
Given the task definition, example input & output, solve the new input case.
Translate from English to Hindi.
Example: Go to the employment office.
Output: रोजगार कार्यालय जाओ.
The translation is accurate.
New input case for you: How do I look?
Output: | कैसा लग रहा हूं? | 1 | NIv2 | task1329_open_subtitles_en_hi_translation | fs_opt | [
-0.543705940246582,
0.43792086839675903,
-0.4418114125728607,
0.6276801824569702,
0.04745238274335861,
0.5243691205978394,
-0.7990730404853821,
0.4629685580730438,
0.3338913321495056,
0.04550871253013611,
0.009181896224617958,
-0.3305911421775818,
0.6226913332939148,
0.34061670303344727,
... |
Part 1. Definition
Given a sentence in the Lao, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Part 2. Example
ອິຕາລີໄດ້ເສຍໃຫ້ປ໊ອກຕຸຍການ 31 ຕໍ່ 5 ໃນພູລ C ຂອງ ການແຂ່ງຂັນຣັກບີ້ລະດັບໂລກປີ 2007 ທີ່ ປາກເດແພຣັງ ປາຣີ ປະເທດຝຣັ່ງ.
Answe... | この地域の人々は氷河から融けた水による大洪水のために避難している。 | 7 | NIv2 | task1125_alt_lo_ja_translation | fs_opt | [
-0.5863029956817627,
0.6182579398155212,
-0.7630447149276733,
0.3210754692554474,
-0.1280289888381958,
-0.4313751459121704,
0.6774729490280151,
0.5845261812210083,
0.3010569214820862,
-0.6177124977111816,
-0.9622897505760193,
0.9195748567581177,
-0.7872361540794373,
1.0109295845031738,
0... |
Definition: In this task, you will be given two sentences sentence1 and sentence2. You should decide whether the second sentence is entailed(agreed) by the first sentence. If it does entail, answer "yes", else answer "no".
Input: sentence1:employer is dominating location sentence1:location is beating employer
Output... | no | 2 | NIv2 | task970_sherliic_causal_relationship | zs_opt | [
-0.6687250733375549,
0.8401963114738464,
0.6181504726409912,
-0.5682275295257568,
0.11465246975421906,
-0.3761175274848938,
-0.08351977169513702,
0.6384517550468445,
0.7694586515426636,
-0.3117026090621948,
-0.7637882232666016,
-0.8827852010726929,
-0.8656176924705505,
-0.6020444631576538,... |
In this task, you are given a sentence in the Spanish language. Your task is to translate the Spanish sentence into the English language.
Example Input: La fosforilación oxidativa mitocondrial está regulada por
Example Output: Mitochondrial oxidative phosphorylation is regulated by
Example Input: Entre las competenci... | Question linked to the image nº8 A 63-year-old man with persistent pain and swelling, progressive deformity, functional impotence and prolonged rigidity after inactivity in hands, knees and feet for which he had not consulted previously. In an elemental analysis carried out in his company, he highlighted VSG 78 mm / ho... | 3 | NIv2 | task1433_head_qa_language_translation_es_to_en | fs_opt | [
-0.08804541081190109,
-0.22405602037906647,
-0.6585151553153992,
-0.6755150556564331,
0.7517836093902588,
-0.2672029733657837,
-0.14911046624183655,
1.2889522314071655,
0.29603859782218933,
-0.1297082006931305,
-0.4109731614589691,
0.11135093122720718,
-0.15943148732185364,
-0.356231510639... |
In this task, you're given reviews from Amazon's products. Your task is to generate the Summary of the review.
Ex Input:
Huge! Not at all what it was described way to big. Would like a refund I can use this for a over night bad and still have room for my lap top
Ex Output:
Not what the description was. I can use it f... | Fifty rounds of subsonic .22 ammo ate this thing up
| 1 | NIv2 | task618_amazonreview_summary_text_generation | fs_opt | [
-0.32604044675827026,
0.1288074254989624,
-0.3774227499961853,
-0.30180826783180237,
-0.14761364459991455,
-0.2884337306022644,
0.01063151191920042,
0.6320174336433411,
-0.5097373723983765,
-0.12134358286857605,
-0.057848893105983734,
0.7742210626602173,
-0.7244575023651123,
-0.77243757247... |
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 marriage. A... | Valid
| 6 | NIv2 | task148_afs_argument_quality_gay_marriage | fs_opt | [
-0.07551822066307068,
0.6317746639251709,
0.8747100830078125,
-0.41370582580566406,
-0.18772144615650177,
-1.3311623334884644,
0.2508159875869751,
0.4704667329788208,
0.2426004707813263,
0.029273321852087975,
-0.6936905384063721,
-0.11630402505397797,
-0.43208634853363037,
-0.4365088343620... |
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' value then sort t... | [{'first': -82, 'second': -76}, {'first': -80, 'second': -23}, {'first': -10, 'second': -60}, {'first': 2, 'second': -42}, {'first': 10, 'second': 27}, {'first': 44, 'second': 65}, {'first': 64, 'second': 0}, {'first': 70, 'second': 22}, {'first': 99, 'second': -33}] | 6 | NIv2 | task123_conala_sort_dictionary | fs_opt | [
-0.040575869381427765,
0.16658902168273926,
-0.32602015137672424,
0.06041039526462555,
0.6643990874290466,
0.1088583916425705,
0.37373051047325134,
0.9812685251235962,
0.061192646622657776,
-0.3131049573421478,
-0.5624099969863892,
-0.5762299299240112,
-0.8198495507240295,
-0.1315884292125... |
You will be given a definition of a task first, then some input of the task.
Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. ... | Hate Speech | 1 | NIv2 | task904_hate_speech_offensive_classification | zs_opt | [
-0.28307539224624634,
0.22311964631080627,
0.5350761413574219,
0.3101903200149536,
-0.008855456486344337,
-1.1637470722198486,
-0.1814279854297638,
0.5179641246795654,
0.2071598321199417,
0.7457090616226196,
-0.3071777820587158,
0.001445037079975009,
-0.8891283273696899,
-1.211658596992492... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronoun... | A human looking | 0 | NIv2 | task188_snli_neutral_to_entailment_text_modification | zs_opt | [
-0.2702294588088989,
1.0622434616088867,
0.11396566033363342,
-0.6258190274238586,
-0.11985264718532562,
-0.05110853910446167,
0.09773034602403641,
0.6392996907234192,
0.5337753891944885,
-0.40444809198379517,
-1.127734899520874,
-0.3599688708782196,
-0.42935317754745483,
0.338841170072555... |
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.
Example Input: Title: Chess. Sentence 1: Mia entered a chess tournament. Sentence 2: She thought she would win eas... | She quietly leaped out of the window and ran off.
| 3 | NIv2 | task216_rocstories_correct_answer_generation | fs_opt | [
0.4223857522010803,
0.16412565112113953,
-0.34685254096984863,
-0.5616898536682129,
0.44754964113235474,
-0.34371423721313477,
0.5637961030006409,
0.8322848677635193,
0.09002874791622162,
-0.36464226245880127,
-0.6705557107925415,
0.21634680032730103,
-0.23559322953224182,
-0.1285685300827... |
Given the task definition and input, reply with output. In the following task, you are given a yes/no question, its answer, and additional information which includes a description of a key term in the question and several facts. Your task is to "decompose the question"i.e. write the steps required to construct the give... | Step1: How many rounds are fired in one blast from a double-barreled shotgun?, Step2: How many brains do squid have?, Step3: Is #1 greater than or equal to #2?, Wikipedia page for step 1: Double-barreled shotgun , Wikipedia page for step 2: Squid, Wikipedia page for step 3: , not_definitive_answer: False, incorrect_ans... | 5 | NIv2 | task168_strategyqa_question_decomposition | zs_opt | [
0.41618484258651733,
-0.19126032292842865,
-0.43933597207069397,
0.12158608436584473,
0.10012849420309067,
-0.5913791656494141,
1.1165412664413452,
0.1490260362625122,
0.39549872279167175,
0.09579814970493317,
-0.13085176050662994,
0.1457471251487732,
-0.7272922992706299,
0.351909965276718... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, Pers... | Yes | 1 | NIv2 | task1209_atomic_classification_objectuse | zs_opt | [
0.7243631482124329,
0.5187199115753174,
0.15550178289413452,
-0.05210244283080101,
-0.5304227471351624,
-1.0222158432006836,
1.0568265914916992,
0.47612452507019043,
-0.7365318536758423,
-0.06751151382923126,
-0.6015746593475342,
-0.5139597654342651,
-0.24292320013046265,
0.094135314226150... |
Teacher:A text is given in Bengali. Translate it from the Bengali language to the Marathi language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? Solve this instance: শ্রী প্রকাশ জাভড়েকর রাষ্ট্রপতিকে মহাত্মা গান্ধীর সার্ধ জন্মশতবার্ষিকী উপলক্ষে তথ্য ও ... | महात्मा गांधीजींचे बालपण ते शिक्षण, दक्षिण आफ्रिका दौरा, विविध चळवळींमध्ये दक्षिण आफ्रिका आणि भारतात त्यांनी घेतलेला सहभाग आणि कवितांचा समावेश आहे. | 6 | NIv2 | task1061_pib_translation_bengali_marathi | zs_opt | [
-0.6150001883506775,
-0.0005559583660215139,
0.01640745811164379,
-0.02290438860654831,
0.06765393912792206,
-0.9507360458374023,
0.3156631290912628,
0.07582451403141022,
-0.42425253987312317,
0.37100377678871155,
-0.5670212507247925,
-0.41095197200775146,
-0.2859535217285156,
0.0688788965... |
Detailed Instructions: This task is about writing a correct answer for the reading comprehension task. Based on the information provided in a given passage, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides... | Many private and public events were accompanied by music | 4 | NIv2 | task075_squad1.1_answer_generation | fs_opt | [
0.7168154120445251,
0.8666313886642456,
-0.32845860719680786,
0.42449402809143066,
0.24470582604408264,
-0.3833402395248413,
0.45602893829345703,
0.5845245122909546,
0.6279778480529785,
-0.025468384847044945,
0.15710411965847015,
0.032467085868120193,
-0.7810388207435608,
-0.27166309952735... |
In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with the rest of the story. Indicate your answer by "Yes" if it connects, otherwi... | No
****
| 4 | NIv2 | task066_timetravel_binary_consistency_classification | fs_opt | [
-0.48636144399642944,
0.5186213850975037,
-0.22669020295143127,
0.10347206890583038,
0.07823153585195541,
-0.9562860727310181,
-0.06666108965873718,
0.9715421199798584,
-0.29428040981292725,
0.07068061828613281,
-0.2036612331867218,
0.05918879806995392,
-0.5693685412406921,
-0.079539224505... |
Given the task definition, example input & output, solve the new input case.
In this task, you will be presented with a question and you have to answer the question based on your knowledge. Your answers should be as short as possible.
Example: Who were the builders of the mosque in Herat with fire temples ?
Output: Ghu... | Structures , Fairings , Mechanisms , Opto-Electronics | 1 | NIv2 | task344_hybridqa_answer_generation | fs_opt | [
-0.5567169189453125,
0.7591875195503235,
0.11646945774555206,
-0.0613102912902832,
-0.20929965376853943,
0.13366985321044922,
-0.2559816539287567,
0.5839128494262695,
-0.1320749670267105,
-0.031262025237083435,
-0.3722890019416809,
-0.07914454489946365,
0.06344596296548843,
-0.329868286848... |
Detailed Instructions: From the given sentence, extract the phrase (often noun or verb) that carries the given relationship. The generated phrase should be present in the sentence.
See one example below:
Problem: Given Relationship: 'make', Sentence: 'Jenny made the announcement that her baby was an alien.'
Solution: m... | beat | 4 | NIv2 | task678_ollie_actual_relationship_answer_generation | fs_opt | [
-0.3323415517807007,
1.1617467403411865,
-0.38756048679351807,
-0.0067821373231709,
-0.187325119972229,
-0.5520967245101929,
0.035078536719083786,
1.046765685081482,
0.37032628059387207,
0.23349003493785858,
-0.7123723030090332,
0.7509976625442505,
-0.7679697275161743,
0.06784828007221222,... |
Teacher: In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'.
Teacher: Now, understand the problem? If you are still confused, see the following example:... | no | 2 | NIv2 | task518_emo_different_dialogue_emotions | fs_opt | [
-0.38225436210632324,
0.14188677072525024,
0.5188815593719482,
-0.4322623312473297,
-0.3754560351371765,
-0.03728392720222473,
0.5665603876113892,
0.18540816009044647,
-0.17024314403533936,
-0.295476496219635,
-0.16429902613162994,
0.05189249664545059,
-0.4566858410835266,
-0.1963641792535... |
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.
Let me give you an example: ['8129', 'a', '4245', '2391', 'Y', '7569']
The answer to this example ca... | 26, 7125, 25, 18 | 8 | NIv2 | task622_replace_alphabets_in_a_list_by_their_position_in_english_alphabet | fs_opt | [
-0.20829634368419647,
0.6012921333312988,
0.8897703886032104,
-0.2512475848197937,
0.12738123536109924,
-0.6509075164794922,
0.12590833008289337,
0.035833679139614105,
-0.14633393287658691,
-0.5225015878677368,
-0.12260515987873077,
-0.16888226568698883,
0.056981660425662994,
-0.5650365948... |
Detailed Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English.
Problem:لنفترض أنّكم وخلال إجازتكم القادمة ، تودّون الذهاب لرؤية كلّ منها على حدة.
Solution: | Let's say that on your next vacation, you want to go see every single one of them. | 8 | NIv2 | task1230_ted_translation_ar_en | zs_opt | [
-0.01838262565433979,
0.38823631405830383,
-0.005549871828407049,
-0.4767620265483856,
-0.14199122786521912,
-0.3643137216567993,
0.3457171320915222,
0.23641511797904968,
0.19720838963985443,
-0.26733964681625366,
0.1650463342666626,
-0.07057865709066391,
-0.3899080157279968,
0.37166160345... |
Teacher:In this task you are given an anecdote. You must find out whether the anecdote is something the author has done or is considering doing. Label the instances as "HISTORICAL" when the author has already done something and label them as "HYPOTHETICAL" when the author is considering doing something in the future.
T... | HYPOTHETICAL | 6 | NIv2 | task282_scruples_event_time | zs_opt | [
-0.5736120939254761,
0.43389415740966797,
0.6723216772079468,
0.34245386719703674,
-0.2624661922454834,
-0.8963082432746887,
0.5112163424491882,
0.6552818417549133,
0.2271295189857483,
-0.43740785121917725,
-0.48360130190849304,
0.24903705716133118,
-0.639809250831604,
-0.23896028101444244... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
אבל הם גם ידועות לשמצה בתופעות הלוואי שלהן, אבל בעיקר רעות, בגלל שהן מדוללות עד הזמן שהן מגיעות לדם, וגרוע יותר, עד הזמן שהן מגיעות למקומות בהן הן משנות הכי הרבה: לתוך מאגרי וירוס ה HIV. | Pero tamén son coñecidas polos seus efectos secundarios adversos na súa maioría malos porque se dilúen cando chegan ao sangue e peor aínda, cando cheguen ao lugar onde máis importa: nas reservas virales do VIH. | 0 | NIv2 | task1110_ted_translation_he_gl | zs_opt | [
-0.9350677132606506,
0.595450222492218,
-0.15064480900764465,
-0.035509951412677765,
-0.4155596196651459,
-0.8070792555809021,
0.13353331387043,
0.4912826418876648,
0.3313083350658417,
-0.3499870300292969,
-0.9507911801338196,
0.7664727568626404,
-0.8733242750167847,
0.06675821542739868,
... |
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 .
Q: Statement: बैचलर ऑफ़ टेक्नोलॉजी (जिसे आम तौर पर संक्षेप में बी.टेक. या बी.टेक. (ऑनर्स) कहा जाता है) एक पूर्वस्नात... | कनाडा | 4 | NIv2 | task947_wiki_cloze_hi_multiple_choice_question_answering | zs_opt | [
-0.3637259602546692,
0.2410789579153061,
0.17195048928260803,
-0.30460870265960693,
0.2623084783554077,
-0.3082348108291626,
-0.06039144843816757,
0.03132448345422745,
-0.07777991890907288,
0.18839174509048462,
0.23609109222888947,
0.5204247832298279,
0.41037142276763916,
0.098376102745532... |
Teacher: You are given a math word problem and you are supposed to make use of mathematical concepts like probability, combinatorics, linear equations, sequences/series, or simple operators like addition, subtraction, division, or multiplication to answer the given question. Choose the best option from the 5 given opti... | Option E | 2 | NIv2 | task750_aqua_multiple_choice_answering | fs_opt | [
0.11811017990112305,
-0.03394245356321335,
-0.38939064741134644,
-0.760723352432251,
0.4654879570007324,
-0.46729084849357605,
0.22116082906723022,
0.49022725224494934,
-0.5029712319374084,
0.1192074716091156,
0.0031530552078038454,
-0.06460701674222946,
-0.36708545684814453,
-0.4221904277... |
Q: Given a 'poster' sentence and a corresponding 'response' (often, from Facebook or Reddit)classify the sentiment of the given response into four categories: 1) Positive, 2) Negative, 3) Neutral, and 4) Mixed if it contains both positive and negative.
Poster: Grand Army Plaza, New York City, 1973. That's the Plaza Hot... | Neutral | 7 | NIv2 | task823_peixian-rtgender_sentiment_analysis | zs_opt | [
-0.4079741835594177,
-0.18453119695186615,
-0.17378179728984833,
0.087920181453228,
0.5284035205841064,
-0.5109739303588867,
0.6560287475585938,
0.050502367317676544,
0.6924694180488586,
0.5036307573318481,
-0.3070627450942993,
-0.12403271347284317,
-0.3607279062271118,
-0.4420236051082611... |
You will be given a definition of a task first, then some input of the task.
You are given a passage. You need to construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is the whole paragraph. Avoid creating questions that can be... | Should cell phones and PDAs be allowed in school? Why or why not? | 1 | NIv2 | task1594_yahoo_answers_topics_question_generation | zs_opt | [
0.544302761554718,
0.9772999882698059,
-0.6276851892471313,
-0.24871131777763367,
0.08843531459569931,
-0.24665257334709167,
0.7972996234893799,
0.710574209690094,
-0.04046643525362015,
0.1577213555574417,
-0.660234808921814,
-0.11635227501392365,
-0.22974702715873718,
-0.718496561050415,
... |
In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that does not connect with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one that m... | b
****
| 4 | NIv2 | task214_rocstories_incorrect_ending_classification | fs_opt | [
0.6590374708175659,
0.24630919098854065,
0.008730784989893436,
0.18826133012771606,
0.46614742279052734,
-0.4545934796333313,
0.6716722249984741,
1.4308828115463257,
0.06505416333675385,
0.06399616599082947,
-0.48921632766723633,
-0.24195677042007446,
-0.1254352629184723,
-0.32491940259933... |
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 scientific passage and an answer, generate a question for the given answer.
Passage: A frameshift mutation is a deletion or insertion of one or more nucleotides that changes the reading fram... | Class bivalvia (“two shells”) includes clams, oysters, mussels, scallops, and these? | 0 | NIv2 | task594_sciq_question_generation | fs_opt | [
-0.2775152027606964,
-0.1317165493965149,
-0.48646384477615356,
-0.12980908155441284,
0.4602106213569641,
-0.011456727981567383,
0.8420225381851196,
0.8665976524353027,
0.07267756760120392,
0.07696891576051712,
-0.4522123634815216,
-0.600034773349762,
-0.5451602339744568,
0.269476950168609... |
Q: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
אני סבור שזו שאלה שטרם פתרנו באמת, אבל לדעתי מה שעשוי להיות מענה הוא שלאושר יש קשר של ממש לתוכן חוויותינו הריגעיות.
A: | Creo que esa es una pregunta que todavía no hemos respondido realmente, pero pienso que algo que tiene el potencial de ser una respuesta es que tal vez la felicidad tenga mucho que ver con el contenido de nuestras experiencias cotidianas. | 7 | NIv2 | task1236_ted_translation_he_es | zs_opt | [
-1.0973436832427979,
0.9682117700576782,
0.1522187888622284,
-0.23637859523296356,
-0.7746099829673767,
-0.36239343881607056,
0.8955987691879272,
0.42487502098083496,
0.9068019390106201,
-0.33391642570495605,
-0.7147053480148315,
0.4401295781135559,
-0.9650298357009888,
0.5574527382850647,... |
Classify the given news commentary into the language in which it is written in. There are 12 languages to classify the sentences into, 1) English, 2) French, 3) Arabic, 4) Czech, 5) German, 6) Spanish, 7) Dutch, 8) Portuguese, 9) Italian, 10) Zhuang, 11) Japanese, 12) Russian.
Malgré les efforts dépensés dans la «\xa0... | French | 0 | NIv2 | task1370_newscomm_classification | zs_opt | [
0.2357892245054245,
0.14370498061180115,
0.4569200277328491,
0.1087518185377121,
0.6432108879089355,
-0.6822078227996826,
-0.13117754459381104,
0.5893198251724243,
0.26287898421287537,
-0.0049719237722456455,
0.01909116841852665,
-0.13595061004161835,
-0.7362989187240601,
-0.70082128047943... |
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 numerical elements in the given list. Return 0 if no numerical element in the list.
Let me give you an example: ['238', 'h', '92', 'U', '2799']
The answer to this ex... | 6 | 8 | NIv2 | task505_count_all_numerical_elements_in_list | fs_opt | [
-0.5054221749305725,
0.3532748222351074,
-0.201421320438385,
-0.7636148929595947,
0.512559711933136,
-0.5299447178840637,
0.26541668176651,
-0.01633688062429428,
-0.49566182494163513,
0.47820061445236206,
-0.8718044757843018,
0.34154194593429565,
0.15639352798461914,
-0.2861534059047699,
... |
Part 1. Definition
You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
Part 2. Example
Agora, está ao lado, ou na miña casa.
Answer: Now, it's next door, or in my house.
Explanation: The Galician sentence is correctly translated into English. `casa` is correctly translated... | So if you look at gray matter volume, for example, gray matter volume across age from age four to 22 years increases during childhood, which is what you can see on this graph. It peaks in early adolescence. | 7 | NIv2 | task1238_ted_translation_gl_en | fs_opt | [
-0.12063058465719223,
1.2145321369171143,
-0.07428853213787079,
-0.9866137504577637,
-0.24176819622516632,
-1.042150616645813,
0.772275447845459,
0.6771566867828369,
-0.0011956717353314161,
0.018947087228298187,
-0.5097804665565491,
0.6127924919128418,
-1.443401575088501,
0.264760851860046... |
In this task, you're given a question, along with a context passage. The passage will not have a direct answer to the question, but can include some information and a clue for the answer. Assuming you can only obtain information about one entity in the passage, your job is to determine whether information from the pass... | b | 0 | NIv2 | task233_iirc_link_exists_classification | zs_opt | [
0.21053144335746765,
0.7549563646316528,
-0.07864836603403091,
-0.1308099627494812,
0.30407392978668213,
-0.11361432075500488,
1.0215678215026855,
0.5083467364311218,
0.5870518684387207,
0.39085203409194946,
-0.5028790831565857,
0.6381984949111938,
-1.4564940929412842,
0.276747465133667,
... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
One example: życiu stawić czoła Granicę przekrocz "" Będziesz wolna "", już ktoś tam woła. Kobiety nadziei Kobiety zmian Kobiety wojny i bólu Czuję waszą siłę tak ona powiedziała Jeśli czujesz się bezsilna, pomóż komuś Jeśli c... | בארה "" ב אנו מנסים לשנות את מערכת החינוך כך שזה עבור כולם וזה עובד עבור כל התלמידים. | 6 | NIv2 | task1260_ted_translation_pl_he | fs_opt | [
-0.5503548383712769,
0.4119076430797577,
-0.3727942109107971,
-0.26194846630096436,
-0.3501768112182617,
-0.9929798245429993,
1.3244762420654297,
0.46663475036621094,
0.6362121105194092,
-0.48421818017959595,
-0.7867699861526489,
0.6959120035171509,
-1.1472320556640625,
-0.2492720782756805... |
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 people are looking at a map. | 0 | NIv2 | task186_snli_contradiction_to_entailment_text_modification | zs_opt | [
-0.1144697517156601,
0.6881778240203857,
0.05473729223012924,
-0.5061966180801392,
0.08575400710105896,
-0.5159119963645935,
0.4594142436981201,
0.21109789609909058,
0.9597897529602051,
-0.7059621810913086,
-0.8943495750427246,
-0.9612311124801636,
-0.24852252006530762,
-0.4259450435638428... |
Detailed Instructions: In this task, you are given a question. You have to answer the question based on your information.
Problem:When was the Canadian-American comedian who acted as school nurse Liz in "Ex Mach Tina" born?
Solution: | October 25, 1969 | 8 | NIv2 | task1293_kilt_tasks_hotpotqa_question_answering | zs_opt | [
-0.6633347868919373,
-0.6983826756477356,
0.4833151698112488,
0.06284844130277634,
0.04662104323506355,
0.27351993322372437,
-0.2573959529399872,
0.8607056140899658,
0.24977272748947144,
-0.3144717514514923,
-0.26442956924438477,
-0.11606736481189728,
-0.39058926701545715,
-0.7965826392173... |
Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Input: To tylko kwestia skali.
Output: | أنها حقاً مسألة الحجم. | 3 | NIv2 | task1259_ted_translation_pl_ar | zs_opt | [
-0.37442487478256226,
0.69437575340271,
-0.017968738451600075,
-0.5493494868278503,
0.061865657567977905,
0.8019475340843201,
1.1964517831802368,
-0.45819753408432007,
0.6421442031860352,
-0.29719483852386475,
-0.5826467275619507,
0.38422468304634094,
-0.4693147540092468,
0.542853653430938... |
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 Italian.
Po pierwsze usłyszeliśmy tzw. formalne zaprzeczenie.
| Beh, dapprima c'è stata la cosiddetta negazione non contrattabile. | 5 | NIv2 | task1262_ted_translation_pl_it | zs_opt | [
-0.45150306820869446,
1.1246938705444336,
0.5618981719017029,
-0.25952959060668945,
-0.08828592300415039,
-0.7642889618873596,
0.6654309034347534,
-0.276115745306015,
0.10337253659963608,
-0.6144833564758301,
-0.42683127522468567,
0.2853248715400696,
-0.2714897394180298,
0.4746931195259094... |
Given the task definition, example input & output, solve the new input case.
In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by two, if the element is odd you should multiply by three then add one. The output should be a list of integers that is... | [148, 15, 478, 208, 42, 298] | 1 | NIv2 | task206_collatz_conjecture | fs_opt | [
-0.05812005698680878,
0.6865246891975403,
-0.420462965965271,
-0.3807186186313629,
0.05490953102707863,
-0.12383788079023361,
0.6954865455627441,
0.6939757466316223,
0.07666903734207153,
0.27429792284965515,
-0.4824461340904236,
-0.23338140547275543,
-0.36973825097084045,
-0.19904406368732... |
In this task, you need to count the number of words in a sentence that end with the given letter. Answer with numbers and not words.
[Q]: Sentence: 'a collection of pictures showing the before and after of a bathroom remodel'. How many words end with the letter 'n' in the sentence.
[A]: 1
[Q]: Sentence: 'a man holds... | 1
| 5 | NIv2 | task163_count_words_ending_with_letter | fs_opt | [
-0.3530903160572052,
0.7189624309539795,
-0.10990758240222931,
-0.32707783579826355,
0.2671182453632355,
-0.7941514253616333,
-0.2413943111896515,
0.8181450366973877,
0.3044129014015198,
0.15341037511825562,
0.025931386277079582,
0.482871413230896,
-0.7315860986709595,
0.3968186378479004,
... |
Detailed Instructions: In this task, you're given a question, a context passage, and four options which are terms from the passage. After reading a passage, you will get a brief understanding of the terms. Your job is to determine by searching and reading further information of which term you can answer the question. I... | a | 8 | NIv2 | task231_iirc_link_classification | zs_opt | [
0.3589058220386505,
0.8250929117202759,
-1.4494104385375977,
-0.5715748071670532,
0.5634803771972656,
-0.29372352361679077,
0.5308342576026917,
0.5881469249725342,
-0.08375445753335953,
0.07894809544086456,
0.18617281317710876,
0.39265018701553345,
-0.1465872824192047,
0.16183537244796753,... |
You will be given a definition of a task first, then some input of the task.
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. ... | True | 1 | NIv2 | task1187_politifact_classification | zs_opt | [
-0.052945561707019806,
0.2910664677619934,
-0.15554746985435486,
-0.019653482362627983,
-0.19412656128406525,
0.08917269855737686,
1.2690104246139526,
-0.15196523070335388,
-0.05098263919353485,
-0.22045843303203583,
-0.42901474237442017,
-0.12868675589561462,
-0.3227967917919159,
0.010370... |
The input is a tweet which can be Hate Speech, Offensive or Normal tweet. Hate Speech and Offensive tweets target one community. Given such a tweet, output the community targeted in the tweet. The community will be one of the nine values: 'African', 'Islam', 'Jewish', 'Women', 'Refugee', 'Arab', 'Caucasian', 'Hispanic'... | Hispanic | 4 | NIv2 | task1503_hatexplain_classification | zs_opt | [
-0.5898693799972534,
0.6805214285850525,
0.4253939688205719,
0.396683007478714,
-0.3650611340999603,
-0.4957517385482788,
0.21732574701309204,
0.5372121930122375,
0.3377158045768738,
0.5533856153488159,
-0.12251210957765579,
0.5076163411140442,
-0.4097480773925781,
-0.7842355966567993,
0... |
Given the task definition and input, reply with output. You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
自分のアシスタントに
| و این اولین باری بود که من مجبور نبودم خودم نهار درست کنم ، به مشاورم گفتم ، | 5 | NIv2 | task1098_ted_translation_ja_fa | zs_opt | [
-0.27448129653930664,
1.2173881530761719,
0.17372366786003113,
-0.2134656310081482,
-0.034095559269189835,
0.2767038345336914,
1.1083146333694458,
-0.3543379306793213,
0.9182565808296204,
-0.03510010242462158,
-0.808772087097168,
0.33764591813087463,
-0.6190407276153564,
0.2569504976272583... |
Teacher:Given a sentence, generate a new 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 being true.
... | The effect of cutting your hair is it may look funny. | 6 | NIv2 | task413_mickey_en_sentence_perturbation_generation | zs_opt | [
-0.41964560747146606,
0.7969005107879639,
0.23458439111709595,
-0.8778012990951538,
-0.2972565293312073,
-0.6615245938301086,
0.580136239528656,
0.9621514678001404,
0.059769969433546066,
-0.3088926076889038,
-1.0589665174484253,
0.00967259332537651,
-0.8034830093383789,
-0.8631789088249207... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Polish.
--------
Question: فقط عندما ترغبين بإزاحة الضغط. سوف نحاول من جديد
Answer: tylko kiedy chcesz, żeby ucisk ustąpił, spróbujmy znowu.
Question: (تصفيق) ولذا فإننا أعجبنا بفكرة أن طرفي الجسر البعيدين سينتهي بهم المطاف بتقبيل ... | Pędziłam do domu i nie upadłam, nie zderzyłam się z niczym.
| 7 | NIv2 | task1107_ted_translation_ar_pl | fs_opt | [
-0.5899850130081177,
0.9739033579826355,
0.03627319261431694,
-0.8367969989776611,
-0.16033923625946045,
0.13652674853801727,
1.5839506387710571,
-0.5819798707962036,
0.1359870731830597,
-0.32463711500167847,
-0.583785891532898,
0.13977138698101044,
-0.8617635369300842,
0.42512640357017517... |
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 ... | D. | 9 | NIv2 | task043_essential_terms_answering_incomplete_questions | zs_opt | [
0.19401952624320984,
0.5846080183982849,
-0.7730236053466797,
0.17408770322799683,
-0.252104789018631,
-0.9880772829055786,
-0.034527428448200226,
0.44046175479888916,
-0.030852651223540306,
-0.061445750296115875,
-0.018251214176416397,
-0.3615624010562897,
-0.2689710855484009,
0.030848165... |
In this task, you are given a Reddit post as a text. Your task is to generate a short summary for this text. The summary must include a situation which caused humor. The summary should be one or two sentences long.
Q: Text: a prerequisite to this tifu would be to know that i have some moderate athsma, it usually doesn'... | went to a cheap spa, ignored several warning signs, poinsoned myself with chlorine, almost died of an athsma attack. | 4 | NIv2 | task511_reddit_tifu_long_text_summarization | zs_opt | [
0.6395676136016846,
0.20623484253883362,
-0.7337897419929504,
-0.9841350317001343,
0.8752237558364868,
-0.37950167059898376,
0.6422032117843628,
1.0363504886627197,
0.04783947020769119,
-0.015916846692562103,
0.026254456490278244,
0.3764178156852722,
-0.9713113903999329,
-0.070185102522373... |
Given a premise, an initial context, an original ending, and a new ending, the task is to generate the counterfactual context that is aligned with the new ending. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and the second sentence, which is the initial context, provide... | He was lying and actually spending vacations at home. | 9 | NIv2 | task270_csrg_counterfactual_context_generation | fs_opt | [
0.8323109149932861,
0.5427772998809814,
-0.07624872028827667,
0.5538138747215271,
0.2444135546684265,
-0.9203037023544312,
-0.11286283284425735,
1.1319202184677124,
-0.20174631476402283,
-0.09991741180419922,
-0.601246178150177,
-0.004967790096998215,
-0.5960204005241394,
-0.23932747542858... |
Teacher: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 eithe... | Completion C | 6 | NIv2 | task156_codah_classification_adversarial | zs_opt | [
0.09182161092758179,
0.7959727048873901,
-0.6120970845222473,
-0.43776047229766846,
-0.7081849575042725,
-0.2042084038257599,
0.601411759853363,
0.43472057580947876,
0.4194725453853607,
-0.2301652580499649,
-0.4082454741001129,
0.32996514439582825,
0.14515447616577148,
-0.1897173374891281,... |
Definition: You are given a sentence in English. Your job is to translate the English sentence into Polish.
Input: And with that, I think there's some great things that will come out of it.
Output: | Myślę, że dzięki temu powstaną wspaniałe rzeczy. | 2 | NIv2 | task1092_ted_translation_en_pl | zs_opt | [
-0.37792956829071045,
0.9089611768722534,
-0.15114909410476685,
0.4423321783542633,
0.014634942635893822,
-0.8838552236557007,
-0.2866838574409485,
-0.3014436364173889,
0.6932379007339478,
0.016883764415979385,
-0.5321447849273682,
0.5242507457733154,
-0.604021430015564,
0.1845063269138336... |
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