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're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story; note that the selected choi... | Solution: ab | 5 | NIv2 | task221_rocstories_two_choice_classification | fs_opt | [
-0.21015200018882751,
0.18413889408111572,
-0.38897138833999634,
0.7078490257263184,
0.1600492298603058,
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-0.514622688293457,
0.17277038097381592,
-0.010845545679330826,
-0.05167553573846... |
Detailed Instructions: Evaluate the similarity between them and classify them into classes from 0-5 as follows:
0 : The two sentences are completely dissimilar.
1 : The two sentences are not equivalent, but are on the same topic.
2 : The two sentences are not equivalent, but share some details.
3 : The two sentences ar... | 0 | 8 | NIv2 | task1347_glue_sts-b_similarity_classification | zs_opt | [
-0.4213542342185974,
-0.04671941325068474,
-0.10520891845226288,
0.08105622231960297,
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0.3723541498184204,
-0.8349382877349854,
-0.783016562461853,
-0.3492959439754486,
-0.13511240482330322,... |
Teacher:You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
Teacher: Now, understand the problem? Solve this instance: זהו מקום שלא רק מסתגל לפי צרכי, אלא ממש מקבל אותם.
Student: | هذا ليس مكان فقط ليتحمل حاجاتي و لكنه يحيطها برعاية | 6 | NIv2 | task1237_ted_translation_he_ar | zs_opt | [
0.10999369621276855,
0.3544931411743164,
-0.3745928108692169,
-0.945991039276123,
-0.56218421459198,
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1.089277982711792,
-0.06335721909999847,
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-0.5639750957489014,
-0.01858874037861824,
0.005880719982087612,
-0.4540267884731293,
-0.05869028717279434... |
Teacher:Categorize the comment on the basis of obscenity. If the comment is obscene output Yes, otherwise output No.
Teacher: Now, understand the problem? Solve this instance: I've gone there for 30 years and was born and raised in Portland. I would love to know how many people that have an opinion on this really speak... | Yes | 6 | NIv2 | task1721_civil_comments_obscenity_classification | zs_opt | [
-0.40424343943595886,
0.15050983428955078,
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0.127459317445755,
0.46910813450813293,
-0.5043438076972961,
-0.9710554480552673,
... |
In this task, you are given a question. You have to answer the question based on your information.
Q: Geoffrey Wilder is the father of which Runaways supervillain?
A: Alex Wilder
****
Q: In 2011, what was the population of the city where the Roman Catholic Hospital is located?
A: 325,858
****
Q: What former Governor... | Theodore Roosevelt
****
| 4 | NIv2 | task1293_kilt_tasks_hotpotqa_question_answering | fs_opt | [
-0.46822890639305115,
0.4306507706642151,
-0.5223394632339478,
0.37061744928359985,
-0.6451693177223206,
0.06462185084819794,
-0.48484525084495544,
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-0.19306820631027222,
0.9689531326293945,
-0.41705769300460815,
-0.09895223379135... |
Detailed Instructions: In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words.
See one example below:
Problem: We propose a local coherence model based on a convolutional neural network that operates over the entity grid rep... | Knowledge Sharing in Coalitions | 4 | NIv2 | task1540_parsed_pdfs_summarization | fs_opt | [
-0.3184331953525543,
0.8042739033699036,
0.083516925573349,
0.22822436690330505,
-0.019755054265260696,
-0.42192205786705017,
1.11589777469635,
0.49810731410980225,
-0.11681804060935974,
-0.12509337067604065,
-0.22987057268619537,
-0.08066906780004501,
-1.0735726356506348,
0.54623007774353... |
In this task you will be given a list of numbers and you need to find the mean (average) of that list. The mean of a list can be found by summing every number in the list then dividing the result by the size of that list. The output should be rounded to 3 decimal places.
Q: [93.433, 149.567, -94.907, 101.22, 60.361]
A:... | 61.935 | 4 | NIv2 | task094_conala_calculate_mean | zs_opt | [
-0.1372557431459427,
0.6246271133422852,
-1.0321705341339111,
-1.643591284751892,
-0.15800240635871887,
-0.10932422429323196,
0.7581039667129517,
-0.16389736533164978,
-0.031570907682180405,
0.33806154131889343,
-0.7249888181686401,
1.2544324398040771,
-0.6755791902542114,
0.29157352447509... |
Definition: In this task, you are given a sentence which is either in the Gujarati language or English language. You task is to identify the language of input sentence. Input sentence can be in Gujarari or English language only and also it cannot have two languages at a time.
Input: A bathroom that has white tile walls... | English | 2 | NIv2 | task441_eng_guj_parallel_corpus_gu-en_language_identification | zs_opt | [
-0.1930938959121704,
0.7844043970108032,
-0.09984249621629715,
-0.2608906626701355,
0.11407607048749924,
-0.36322352290153503,
-0.33393144607543945,
0.0655703991651535,
0.15780547261238098,
-0.39608967304229736,
-0.0563201978802681,
0.4727492332458496,
-0.32694685459136963,
-0.114036284387... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
Comment: Time to get rid of Kizzella and most of... | Non-threat
| 0 | NIv2 | task322_jigsaw_classification_threat | fs_opt | [
-0.8286957740783691,
0.7728891372680664,
0.5018295645713806,
0.4633409380912781,
-0.080272376537323,
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0.4891578257083893,
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-0.016950810328125954,
0.6505293846130371,
0.3228859603404999,
-0.41340118646621704,
-0.5599485635757446,
-0.7499933838844299,
... |
Detailed Instructions: In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write an implausible POS tag to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. Here is the Alphabetical list of part-of-speech tag... | NN | 8 | NIv2 | task347_hybridqa_incorrect_answer_generation | zs_opt | [
0.5227969288825989,
0.35172393918037415,
-0.31352338194847107,
0.7280979752540588,
0.24716264009475708,
-0.43779176473617554,
0.9873409271240234,
0.8821800947189331,
-0.24154862761497498,
-0.36060434579849243,
-0.023692786693572998,
-0.23305444419384003,
-0.38616111874580383,
0.15173475444... |
You will be given a definition of a task first, then some input of the task.
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 ... | B | 1 | NIv2 | task309_race_answer_generation | zs_opt | [
0.5315039157867432,
0.27387577295303345,
0.09282128512859344,
-0.20240464806556702,
-0.15464693307876587,
-0.5290604829788208,
0.24529075622558594,
1.0419689416885376,
-0.3400552272796631,
0.11984623223543167,
0.22269399464130402,
0.5383909940719604,
0.04419984295964241,
0.0616574101150035... |
In this task, the input is a set of dialogues between a user and an assistant. You need to find the dialogue that is basically a response given to a question or an aspect of the user.
Let me give you an example: Hi. I want information about Namibia.
Nmbia is a country in southern Africa.
Do you have information ab... | The largest ethnic minority in Serbia comes from Hungary. They are concentrated in Vojvodina and represent over 3.5 percent of the population of Serbia. | 8 | NIv2 | task576_curiosity_dialogs_answer_generation | fs_opt | [
0.16681094467639923,
0.3212073743343353,
-0.20425677299499512,
-0.38204336166381836,
-0.5281819701194763,
-0.11865772306919098,
1.4217638969421387,
-0.03743879497051239,
0.32353970408439636,
0.4261857271194458,
-0.43292510509490967,
0.16676969826221466,
-0.1984250545501709,
0.0176443867385... |
TASK DEFINITION: Given a passage with a context and an answer, 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 passag... | Are serum levels of activin A and inhibin A related to the increased susceptibility to pre-eclampsia in type I diabetic pregnancies?
| 8 | NIv2 | task845_pubmedqa_question_generation | fs_opt | [
0.31828051805496216,
0.5699509382247925,
-0.48718440532684326,
0.4307934045791626,
0.814093291759491,
-0.040250152349472046,
1.282326579093933,
0.8779389262199402,
-0.504184901714325,
0.35691720247268677,
-0.46605461835861206,
0.6646430492401123,
-0.2021048367023468,
0.053936708718538284,
... |
TASK DEFINITION: Given a sentence and two mentions from the text (arguments), indicate a phrase (a verb or noun phrase) that describes the relationship between the provided arguments.
PROBLEM: Sentence: 'Linksys , a division of Cisco Systems , Inc. ( NASDAQ : ... I am also having the problem with the WMP54G Ver 4.1 not... | be offer in
| 8 | NIv2 | task676_ollie_relationship_answer_generation | fs_opt | [
-0.5882202386856079,
0.10186767578125,
0.1627454161643982,
-0.07933223247528076,
-0.27020782232284546,
-0.39578551054000854,
0.6913485527038574,
0.589019238948822,
0.2091086059808731,
0.137935072183609,
0.15133638679981232,
0.4440977871417999,
-0.17126449942588806,
0.2181079387664795,
0.... |
Given the task definition and input, reply with output. In this task, you are given a sentence containing a particular emotion. You must classify the sentence into one of the six emotions: 'joy', 'love', 'anger', 'fear', or 'surprise'.
i wanted to create this feeling of longing and sadness
| love | 5 | NIv2 | task875_emotion_classification | zs_opt | [
-0.7088585495948792,
0.44974231719970703,
0.5764877200126648,
-0.45256930589675903,
-0.3459091782569885,
-0.2518114447593689,
0.6065411567687988,
0.5809814929962158,
0.1080421656370163,
-0.8288034200668335,
-0.5515313744544983,
0.05483923479914665,
-0.5506846308708191,
-0.04014193266630173... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese.
Problem:¡Qué equivocado estaba!
Solution: | Como estava errado. | 8 | NIv2 | task1104_ted_translation_es_pt | zs_opt | [
0.326021671295166,
0.7679018974304199,
-0.20685553550720215,
-0.918028712272644,
-0.32748979330062866,
-1.0706522464752197,
0.4145798683166504,
1.1811506748199463,
-0.13498644530773163,
-0.008195905014872551,
-0.2068309485912323,
-0.7183048725128174,
-0.7323952317237854,
-0.392031610012054... |
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 contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronoun... | Three men are socializing. | 9 | NIv2 | task189_snli_neutral_to_contradiction_text_modification | fs_opt | [
-0.2850295305252075,
0.6038703918457031,
0.6322821974754333,
-0.7059777975082397,
0.23770344257354736,
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-0.6743133068084717,
0.6517622470855713,
0.22823305428028107,
-0.3252358138561249,
-0.8042783141136169,
-0.429549902677536,
-0.7105645537376404,
-0.34533923864364624... |
Q: Given a sentence in English language, translate the sentence to Tagalog language keeping the meaning of the original sentence intact.
English sentence: Condemn "double insult" of US custody of Pemberton...
A: | Kundenahin ang "dobleng insulto" ng pakustodiya ng... | 7 | NIv2 | task448_opus_paracrawl_en_tl_translation | zs_opt | [
-0.7114583253860474,
0.3946083188056946,
0.2133733630180359,
-0.26261505484580994,
-0.048346709460020065,
-2.2915024757385254,
0.7272936701774597,
0.4109431803226471,
0.010487468913197517,
0.2172829508781433,
-0.6627348065376282,
-0.13589325547218323,
-0.3037204444408417,
-0.40154510736465... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long.
The answers need to be context specific and can not be general knowledge or... | a finales de 2013 | 0 | NIv2 | task1334_sqac_answer_generation | fs_opt | [
0.05710596218705177,
-1.0881187915802002,
-0.1875956654548645,
0.706405520439148,
0.5115631222724915,
0.13349196314811707,
0.462956964969635,
1.1711227893829346,
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0.15385493636131287,
0.40299662947654724,
-0.37319087982177734,
0.5307079553604126,
... |
In this task you will be given a list of integers. You should only return an integer if the first digit is the same as the last digit in the number. If an integer has a single digit, then it should be returned. If there are no integers that start and end with the same digit then an empty list ("[]") should be returned.... | [-343, -313] | 3 | NIv2 | task372_synthetic_palindrome_numbers | fs_opt | [
-0.6478276252746582,
0.5498959422111511,
-0.13420288264751434,
-0.9184670448303223,
-0.3149681091308594,
0.4088055193424225,
0.721159815788269,
-0.07631811499595642,
-0.3951202630996704,
0.3722272515296936,
-0.3263322412967682,
0.14294856786727905,
0.030762653797864914,
-0.0765829905867576... |
Detailed Instructions: In this task you will be given two lists of numbers and you need to calculate the intersection between these two lists. The intersection between two lists is another list where every element is common between the two original lists. If there are no elements in the intersection, answer with an emp... | [3, 5, 7, 8, 10] | 8 | NIv2 | task098_conala_list_intersection | zs_opt | [
0.48294734954833984,
-0.11136689782142639,
-0.4986448884010315,
-0.1516965627670288,
0.3797098994255066,
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0.7960877418518066,
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0.28899386525154114,
-0.7204219102859497,
-0.40202319622039795,
-0.3753212094306946,
0.20737577974796... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
English sentence: The second feature is an improvement to the translation interface which allows the translator ... | Nke abụọ mma bụ mma ka translation interface nke na-enye ohere onye nsụgharị na a tụrụ aro site na kọmputa ngwaọrụ (ugbu a na-arụ ọrụ na google ntụgharị) ma jiri ya dị ka onye inyeaka nke edikabade. | 1 | NIv2 | task452_opus_paracrawl_en_ig_translation | zs_opt | [
-0.654841959476471,
0.12608367204666138,
0.09427498281002045,
-0.1123645156621933,
0.6064707040786743,
-1.0616915225982666,
0.8248576521873474,
0.34728631377220154,
-0.14687761664390564,
-0.06631255149841309,
-0.08151271939277649,
-0.22042271494865417,
-0.23687389492988586,
0.2433359473943... |
Definition: In this task, you will be shown a conversation and a question. You need to answer the question and choose the correct option based on the conversation. "W" and "M" in the conversations stand for "woman" and "man".
Input: M: Will you see a film at People's Cinema on Saturday? F: Yes, I've already got the tic... | (B) Watch a movie. | 2 | NIv2 | task247_dream_answer_generation | zs_opt | [
0.4048798382282257,
-0.014721395447850227,
-0.5080416202545166,
-0.06687553226947784,
0.4063495993614197,
-0.1059773862361908,
0.02945016883313656,
0.35573911666870117,
0.541655421257019,
-0.20718058943748474,
-0.41752535104751587,
-0.5663347244262695,
0.4322098195552826,
-0.23223102092742... |
Q: 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 alter the given middle, with at most 4 new words added/existing words removed.... | They decided to play a game of Halo. | 7 | NIv2 | task068_abductivenli_incorrect_answer_generation | zs_opt | [
0.4151601791381836,
0.5820174217224121,
-0.32806146144866943,
-0.26911070942878723,
-0.5200017690658569,
-0.6496174335479736,
0.32537850737571716,
-0.08693479001522064,
-0.5003613829612732,
-0.8310651779174805,
-0.21409755945205688,
0.6899634599685669,
-0.6793960332870483,
-0.3881000578403... |
Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English.
Input: Decorámos todos os quadros de avisos no edifício com mensagens alegres, coloridas e positivas.
Output: | We decorated every bulletin board in that building with bright, colorful, and positive messages. | 3 | NIv2 | task1274_ted_translation_pt_en | zs_opt | [
-0.5030622482299805,
0.8680222034454346,
0.5701130628585815,
-0.2072247862815857,
0.1907362937927246,
-1.144972562789917,
-0.9799889922142029,
0.4423708915710449,
0.06074843555688858,
0.17141586542129517,
-0.14933504164218903,
0.08666753768920898,
-0.008710963651537895,
0.4232693314552307,... |
Teacher: In this task you will be given a string and you should find the longest substring that is a palindrome. A palindrome is a string that is the same backwards as it is forwards. If the shortest possible palindrome is length 1 you should return the first character.
Teacher: Now, understand the problem? If you are ... | lcciciccl | 2 | NIv2 | task850_synthetic_longest_palindrome | fs_opt | [
-0.7261480689048767,
0.8376072645187378,
0.2716774344444275,
-0.45443210005760193,
-0.15382876992225647,
-0.604691743850708,
0.7476671934127808,
-0.3019601106643677,
-0.37123730778694153,
-0.24524126946926117,
-0.3867829442024231,
-0.20928530395030975,
-0.5602158308029175,
0.12072039395570... |
Detailed Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Polish.
Problem:یک خیار دریایی چرمی شناور — در واقع یک حلزون دریایی کوچک است.
Solution: | To pływająca strzykwa, w zasadzie mały ślimak morski. | 8 | NIv2 | task1272_ted_translation_fa_pl | zs_opt | [
-0.6482370495796204,
0.5510644912719727,
-0.46118074655532837,
-0.1421595811843872,
-0.49822819232940674,
0.11640967428684235,
0.4557742476463318,
-0.48199015855789185,
0.4556195139884949,
-0.3594074845314026,
-0.034953147172927856,
0.3074102997779846,
-0.4729660153388977,
0.12617799639701... |
In this task, you need to replace a letter in the sentence with another given letter.
Example input: Sentence: 'group of motorcycle motorists trying to merge into traffic'. Replace the letter 'o' with 'n' in the sentence.
Example output: grnup nf mntnrcycle mntnrists trying tn merge intn traffic
Example explanation: T... | a blue and yellow "book bus" is pauked on the stueet | 3 | NIv2 | task160_replace_letter_in_a_sentence | fs_opt | [
-0.35197749733924866,
0.9766987562179565,
-0.16645605862140656,
-0.3396671712398529,
0.038608405739068985,
0.13905242085456848,
0.3119312524795532,
0.19205407798290253,
0.7365230917930603,
-0.17300114035606384,
-0.4462841749191284,
-0.28385740518569946,
0.0071525126695632935,
-0.3577193915... |
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 command.... | I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_RUN I_RUN I_RUN | 0 | NIv2 | task128_scan_structured_text_generation_command_action_short | zs_opt | [
0.1416548639535904,
0.773161768913269,
-0.42868170142173767,
0.18450546264648438,
-0.05120503529906273,
-0.12921717762947083,
0.1704396903514862,
-0.06511397659778595,
-0.19066089391708374,
-0.21255537867546082,
-0.7662985324859619,
-0.4393501281738281,
-0.7413454651832581,
-0.147978305816... |
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).
Q: Para nosotros está claro que, con respecto a los vehículos nuevos, debe hacerlo el fabricante, pues así se e... | For us this is straightforward: in the case of new vehicles it should be the manufacturer since this will also compel manufacturers to design and build recyclable cars. | 4 | NIv2 | task531_europarl_es_en_translation | zs_opt | [
-0.54896479845047,
0.20811080932617188,
0.48703086376190186,
0.11141902208328247,
-0.3601193428039551,
-0.6238604187965393,
0.09441618621349335,
0.7087194919586182,
-0.2660241723060608,
0.0525265708565712,
-0.5201583504676819,
-0.18557044863700867,
0.19285155832767487,
0.3587489724159241,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it, i.e., the proper nouns in the passage. Your job is to deter... | b | 0 | NIv2 | task232_iirc_link_number_classification | fs_opt | [
0.3628673851490021,
0.22753176093101501,
-0.8529221415519714,
-0.0836203545331955,
0.32878634333610535,
-0.2407551407814026,
0.9999969601631165,
0.6596324443817139,
-0.053478434681892395,
-0.04505031928420067,
-0.4092675447463989,
-0.0710071325302124,
-0.4011067748069763,
0.229314982891082... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
Example input: To największa nagrywarka, jaką w życiu widzieliście.
Example output: It's sort of the biggest TiVo box you've ever seen.
Example explanation: The Polish sentence is correctly translated into English, because t... | So what is Texas doing? They're asking you and me, using online policy wikis, to help not simply get rid of burdensome regulations that impede entrepreneurship, but to replace those regulations with more innovative alternatives, sometimes using transparency in the creation of new iPhone apps that will allows us both to... | 3 | NIv2 | task1256_ted_translation_pl_en | fs_opt | [
-0.9013051390647888,
0.590267539024353,
0.26263517141342163,
0.24184614419937134,
-0.027143657207489014,
-0.4741676449775696,
0.25427448749542236,
0.05090656876564026,
-0.1256503015756607,
0.5021740794181824,
0.40557876229286194,
0.5550527572631836,
-0.5273493528366089,
0.10287448763847351... |
In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independence of Catalonia then it's 'Against' and if the tweets support it then it wi... | Against | 0 | NIv2 | task1646_dataset_card_for_catalonia_independence_corpus_text_classification | zs_opt | [
-0.354591429233551,
0.469249427318573,
0.033440425992012024,
0.2639924883842468,
-0.39456993341445923,
-1.4267305135726929,
-0.18911714851856232,
0.8537769317626953,
0.2850715219974518,
0.7250394821166992,
-0.2572995722293854,
-0.11445111781358719,
-0.3119196593761444,
-0.5839685201644897,... |
instruction:
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Portugese.
question:
و بچه ها نیز این بازی را در مدرسه انجام می دادند.
answer:
As crianças também o faziam na escola.
question:
زیرا من تغییر کردم.
answer:
♪ Porque eu mudei
question:
در ساخت بنای اصلی مدرسه از هفت کی... | O coração da escola tem 7 quilómetros de bambo.
| 9 | NIv2 | task1273_ted_translation_fa_pt | fs_opt | [
0.04167647659778595,
1.2252309322357178,
-0.6007722616195679,
-0.49541735649108887,
-1.1640607118606567,
-0.9011463522911072,
0.42685216665267944,
0.74019455909729,
0.6420848369598389,
-0.8552845120429993,
-0.9870948791503906,
0.7940689921379089,
-0.3677445948123932,
-0.03381972014904022,
... |
Instructions: In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
Input: Context: All I wa... | what does margo price want for christmas? | 3 | NIv2 | task240_tweetqa_question_generation | zs_opt | [
-1.4169296026229858,
0.1221790537238121,
0.22822582721710205,
0.26105430722236633,
0.15591655671596527,
-0.7324543595314026,
0.2411976158618927,
0.11260128021240234,
-0.0312214195728302,
0.387559711933136,
0.3481636047363281,
-0.16468635201454163,
-0.4011985659599304,
-0.4472998380661011,
... |
You will be given a definition of a task first, then some input of the task.
Craft one correct answer to the question given in input. To make it more interesting, try to use non-stereotypical language if possible. Make sure your correct answer is reasonably long, consistent with the context, and requires common sense (... | Because he enjoys going to school now . | 1 | NIv2 | task024_cosmosqa_answer_generation | zs_opt | [
0.111114501953125,
0.711098313331604,
0.23717644810676575,
0.08378247916698456,
0.7685130834579468,
-0.26508814096450806,
0.06980230659246445,
0.2547065317630768,
0.3944970369338989,
0.010772470384836197,
-0.5507183074951172,
-0.26002416014671326,
-0.21279220283031464,
-0.447246253490448,
... |
Definition: In this task, you are given a sentence in English, and your task is to translate it into Persian.
Input: her accomplishments, her spirits, her importance, her friends, lest it should betray her into any observations seemingly unhandsome.
Output: | از فکر چنین روز کسل کنندهای حالم بد میشود، ولی خب، بین بد و بدتر چارهای ندارم جز اینکه به بد رضایت بدهم … | 2 | NIv2 | task661_mizan_en_fa_translation | zs_opt | [
-0.6835845112800598,
0.6291985511779785,
-0.34379899501800537,
0.2356494963169098,
-0.07631665468215942,
0.15882335603237152,
0.31024259328842163,
0.4948021471500397,
0.6019573211669922,
0.2331794798374176,
-0.8637439012527466,
0.35996758937835693,
-0.407938152551651,
0.43429023027420044,
... |
Detailed Instructions: In this task, You are given an amazon review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False"
Q: Review: I was looking fo a new carryon with.a trolley sleeve, because for those who are familiar with ... | False | 9 | NIv2 | task1313_amazonreview_polarity_classification | zs_opt | [
0.011304344981908798,
-0.8187964558601379,
-0.2626446485519409,
-0.020803872495889664,
0.6988214254379272,
-0.6263188719749451,
0.4892198443412781,
0.6234935522079468,
0.21022146940231323,
-0.07709970325231552,
-0.007672172971069813,
0.2526821494102478,
-0.217360258102417,
-0.3414956331253... |
Teacher:You need to read the given passage and construct a question about the information present in the passage. The question should be answerable from the passage. Most importantly, only those questions are allowed whose answers cannot be determined from a single sentence. Do not generate questions that require only ... | How can a teacher discover the best way to give a strong foundation for complete living? | 6 | NIv2 | task048_multirc_question_generation | zs_opt | [
-0.2652602195739746,
0.598320484161377,
-0.15397000312805176,
-0.46818646788597107,
0.09495826065540314,
-0.7704077959060669,
0.6065153479576111,
0.8116238117218018,
0.14740219712257385,
-0.3817933201789856,
-0.2158450186252594,
0.13635243475437164,
-0.8115264177322388,
-0.0539735071361064... |
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 need to count the occurrences of the given word in the given sentence.
Sentence: 'the brown cat sits perched on atop of the bed peering forward'. Count the occurrences of the word ... | 1 | 0 | NIv2 | task158_count_frequency_of_words | fs_opt | [
0.23246675729751587,
0.8024651408195496,
-0.4374009370803833,
-0.5666661262512207,
-0.013638118281960487,
-0.26741495728492737,
0.4618486166000366,
0.7084673643112183,
-0.2553885877132416,
0.31548911333084106,
-0.8639175295829773,
-0.3277500569820404,
-0.49497485160827637,
0.61414694786071... |
In this task, you are given dialogue, and you have to find the most critical location in the given conversation.
[Q]: Good morning. I'd like to learn more about the Pitcairn Islands. Can we start with exactly where they are located?
These islands are located in the Southern Pacific, and only the second-largest of th... | Mauritius
| 5 | NIv2 | task578_curiosity_dialogs_answer_generation | fs_opt | [
0.3274044394493103,
0.02388652041554451,
-0.5632487535476685,
-1.062979817390442,
0.5132101774215698,
0.037357598543167114,
0.6894962787628174,
0.39647501707077026,
-0.34024250507354736,
0.005178608000278473,
0.39568182826042175,
0.19988951086997986,
-0.6548620462417603,
0.2359863519668579... |
Q: Given a sentence in the Japanese, provide an equivalent translation in Lao that retains the same meaning through the translation. In translation, keep numbers as it is.
国連は、金曜日、パキスタン政府に特にジャーナリストに対する多数の殺害と誘拐について調査するよう要請した。
A: | ສະຫະປະຊາຊາດ(UN) ໃນວັນສຸກ ໄດ້ຮຽກຮ້ອງຕໍ່ ລັດຖະບານປາກິສຖານ ເພື່ອສືບສວນການຂ້າຄົນຢ່າງຫຼວງຫຼາຍ ແລະ ການລັດພາໂຕ ໂດຍສະເພາະແມ່ນ ນັກຂ່າວ. | 7 | NIv2 | task1124_alt_ja_lo_translation | zs_opt | [
0.05390547215938568,
0.0721389502286911,
-0.39987868070602417,
-0.5785743594169617,
-0.1805688887834549,
-0.2744726538658142,
0.43515264987945557,
-0.1933414340019226,
-0.9570788741111755,
-0.09354102611541748,
-0.7956382632255554,
-0.016351360827684402,
-0.9645524024963379,
0.664813399314... |
In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
Example Input: عین، سین، قاف.
Example Output: 'Am Sin Qaf.
Example Input: و در سراهاى کسانى که بر خود ستم روا داشتند سکونت گزیدید، و براى شما آشکار گردید که با آنان چگونه معامله کردیم، و مثلها براى شما زدی... | To end all argument or to warn.
| 3 | NIv2 | task657_quran_fa_en_translation | fs_opt | [
-0.4411218762397766,
0.7019797563552856,
0.13682261109352112,
-0.6696256399154663,
-0.23995909094810486,
-0.11717446893453598,
0.857571542263031,
0.4539489448070526,
-0.11224852502346039,
0.18321950733661652,
-0.7303498983383179,
0.7970862984657288,
-1.0393816232681274,
0.11359268426895142... |
A text is given in Gujarati. Translate it from the Gujarati language to the Panjabi language. The translation must not omit or add information to the original sentence.
Q: ਵਧੀਆ ਕਾਰਜ ਪ੍ਰਣਾਲੀਆਂ (ਕਵਾਇਦਾਂ) ਦੇ ਅਦਨ-ਪ੍ਰਦਾਨ ਨਾਲ ਰੈਗੂਲੇਟਰੀ ਸੰਪਰਕ ਵਿੱਚ ਸੁਧਾਰ ਲਈ
A: | ફિનટેક સાથે જોડાયેલી નીતિઓ અને નિયામકો પર અનુભવોનાં આદાન-પ્રદાનને પ્રોત્સાહન; | 4 | NIv2 | task1044_pib_translation_punjabi_gujarati | zs_opt | [
-0.3624868094921112,
0.788845419883728,
-0.061084214597940445,
-0.6424074172973633,
-0.427068829536438,
-0.7998915910720825,
0.27699196338653564,
0.2566577196121216,
-0.4992641806602478,
0.10237973928451538,
-1.1098566055297852,
-0.5484639406204224,
-0.9082210063934326,
0.4450303316116333,... |
Teacher:In this task, you are given a question and answer for that. The answer will fill in the blank or will complete the unfinished question. Your task is to provide an explanation based on the given question or fill-in-the-blank statement, and answer.
Teacher: Now, understand the problem? Solve this instance: Questi... | Light-skinned people get sunburned more quickly than people with darker skin. | 6 | NIv2 | task223_quartz_explanation_generation | zs_opt | [
-0.35853111743927,
-0.006085483822971582,
-0.009338443167507648,
-0.9133214354515076,
-0.3009064793586731,
-0.41026604175567627,
0.2978018522262573,
0.8457694053649902,
0.31381934881210327,
-0.11192163079977036,
0.2581740617752075,
0.40561509132385254,
-0.8527946472167969,
-0.3872383534908... |
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.
One example: ['238', 'h', '92', 'U', '2799']
Solution is here: 3
Explanation: Here... | 13 | 6 | NIv2 | task505_count_all_numerical_elements_in_list | fs_opt | [
-0.17812976241111755,
0.38725486397743225,
-0.43577897548675537,
-0.29541435837745667,
0.4117998480796814,
-0.5103978514671326,
0.3597205579280853,
0.2104145884513855,
-0.8177781701087952,
0.5647473335266113,
-0.8721493482589722,
0.15444225072860718,
0.1783379316329956,
-0.1889936476945877... |
Definition: In this task you're given two statements in Hindi. You must judge whether the second sentence is the cause or effect of the first one. The sentences are separated by a newline character. Output either the word 'cause' or 'effect'.
Input: सर्फर ने लहर पकड़ी।
लहर ने उसे किनारे तक पहुंचा दिया।
Output: | effect | 2 | NIv2 | task939_copa_hi_commonsense_cause_effect | zs_opt | [
-0.5737248659133911,
-0.033386364579200745,
-0.09895637631416321,
-0.5356296300888062,
-0.09959809482097626,
0.3305337429046631,
0.05754900723695755,
0.06074342876672745,
0.242643803358078,
-0.8616458177566528,
-0.6718301773071289,
-0.04590793326497078,
-0.5558151006698608,
0.0515984781086... |
Given a simple high-school level math question, you are required to solve it and provide the final answer. The final answer is always a single number. These questions can range from a variety of topics like simple arithmetic, solving equations, converting a quantity from one unit to another, finding remainders/GCD/LCM,... | Solution: 4/165 | 5 | NIv2 | task835_mathdataset_answer_generation | fs_opt | [
-0.45258328318595886,
0.4653767943382263,
0.03866308927536011,
-0.41157010197639465,
0.01622973009943962,
-0.044800013303756714,
1.3747960329055786,
0.7434778213500977,
-0.020814580842852592,
-0.6371387839317322,
-0.5166120529174805,
0.31760844588279724,
-0.19351181387901306,
0.16438305377... |
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 the building ... | look opposite left and walk opposite left
| 0 | NIv2 | task127_scan_long_text_generation_action_command_all | fs_opt | [
0.3210761547088623,
0.7453154921531677,
-0.4349489212036133,
0.15705205500125885,
-0.15276867151260376,
0.36851876974105835,
0.026731714606285095,
0.7036543488502502,
-0.2791609466075897,
-0.14411813020706177,
-0.7265139818191528,
-0.45569342374801636,
-0.7388620376586914,
-0.0320179276168... |
Given a category and a set of five words, find the word from the set that does not belong (i.e. is the least relevant) with the other words in the category. Words are separated by commas.
Example: Category: construction
Words: excavator, crane, pelican, hoist, upraise
Example solution: pelican
Example explanation: A p... | Solution: cake | 5 | NIv2 | task141_odd-man-out_classification_category | fs_opt | [
-0.007017902098596096,
0.5911452770233154,
0.20849952101707458,
-0.32888180017471313,
0.19244247674942017,
0.3753376007080078,
0.30889326333999634,
0.2729616165161133,
-0.15835919976234436,
-0.5092194080352783,
-1.1495310068130493,
-0.15662741661071777,
-0.6604824662208557,
0.1617452204227... |
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.
[EX Q]: Question: What is the mechanism of action of octreotide ?:
Options: <0> Serotonergic rec... | psychology
| 6 | NIv2 | task1434_head_qa_classification | fs_opt | [
0.2240946739912033,
0.715116024017334,
-0.24515199661254883,
-0.0858418419957161,
-0.021743331104516983,
-0.6651036739349365,
-0.07206989824771881,
0.7389963865280151,
0.518002986907959,
0.015713516622781754,
-0.4646141827106476,
-0.547812819480896,
-0.5743508338928223,
-0.3356280922889709... |
In this task, you will be presented with a question in Dutch language, and you have to write the location names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Identifier used for the location name - LOC. . There can be instances with no location name entity, then retur... | MaliVai: B-LOC, Washington: I-LOC | 0 | NIv2 | task1546_conll2002_location_name_extraction_answer_generation | zs_opt | [
0.4383131265640259,
0.26009857654571533,
-0.06270977854728699,
-0.13218717277050018,
-0.17764857411384583,
0.3255663514137268,
0.5750043988227844,
0.15836156904697418,
0.7238755226135254,
-0.39799565076828003,
-0.8535221815109253,
0.6702920198440552,
-0.3650963008403778,
-0.049570795148611... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
Ex Input:
אין לי מושג.
Ex Output:
Yo no se.
Ex Input:
איני תמיד מצליחה ולפעמים זה מייאש בטירוף, משום שאתה חש כאילו אתה כותב לתוך חלל, או אתה חש שלאף אחד לא אכפת.
Ex Output:
No siempre tengo éxito, y a veces es terribleme... | Podemos poner fin al siglo más sangriento que jamás haya conocido la humanidad.
| 1 | NIv2 | task1236_ted_translation_he_es | fs_opt | [
-1.022607684135437,
0.7108204364776611,
0.33522337675094604,
0.38772740960121155,
-0.08797562122344971,
-0.5937137603759766,
0.32867664098739624,
0.7661234140396118,
0.6007468104362488,
-0.28240472078323364,
-0.2524661421775818,
0.8555632829666138,
-1.0252904891967773,
-0.00293182278983294... |
Classify the given a piece of financial news into three classes: positive, negative, and neutral. Output must be 'positive', 'negative', or 'neutral'.
Ex Input:
Compared with the FTSE 100 index , which rose 36.7 points ( or 0.6 % ) on the day , this was a relative price change of -0.2 % .
Ex Output:
negative
Ex Inp... | negative
| 1 | NIv2 | task843_financial_phrasebank_classification | fs_opt | [
-1.0885255336761475,
-0.025120258331298828,
0.11132493615150452,
-0.06900008022785187,
0.23450428247451782,
-0.02672853134572506,
-0.11178578436374664,
1.1756210327148438,
0.7714603543281555,
0.2974359393119812,
-0.3906956613063812,
0.7918579578399658,
-0.6579505205154419,
-0.7169768214225... |
TASK DEFINITION: Given a post that is a real-life anecdote of a complex ethical situation and a question asks if AUTHOR, NOBODY, EVERYBODY, or OTHER is wrong in the situation. Answer the question and classify your answers into yes or no.
PROBLEM: Is AUTHOR wrong in the post ? POST : I am a minor incase that matter in t... | yes
| 8 | NIv2 | task502_scruples_anecdotes_whoiswrong_verification | fs_opt | [
0.7460650205612183,
0.2748411297798157,
-0.2786310315132141,
-0.04375772178173065,
0.7229275107383728,
0.1489221751689911,
1.1229366064071655,
1.201979160308838,
-0.1733984649181366,
-0.1252049207687378,
0.3662969470024109,
0.3728126883506775,
-0.7156447172164917,
-0.19988135993480682,
-... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Spanish.
Problem:So soft power is something that really emerges partly because of governments, but partly despite governments.
Solution: | De manera que el poder blando es algo que de verdad emerge en parte por los gobiernos, pero en parte a pesar de ellos. | 8 | NIv2 | task1219_ted_translation_en_es | zs_opt | [
-1.2309962511062622,
0.8975143432617188,
0.3467952311038971,
-1.6732220649719238,
-0.2641879916191101,
-0.647655189037323,
0.4896925985813141,
1.8430349826812744,
0.04279767721891403,
-0.6251753568649292,
-0.3597206473350525,
0.4791192412376404,
-1.0482797622680664,
-0.3474780321121216,
... |
instruction:
You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to choose the correct answer to the question based on the passage. Answer of the question cannot be found directly from the passage, it is indirectly indicated in the passage. Do not answer... | Turn on the light
| 9 | NIv2 | task165_mcscript_question_answering_commonsense | fs_opt | [
0.47539186477661133,
0.5990464687347412,
-0.9954441785812378,
0.38512879610061646,
0.16819986701011658,
-0.5438330173492432,
0.8253564834594727,
0.8291772603988647,
-0.47407758235931396,
0.4606219530105591,
-0.07734207808971405,
-0.3476884961128235,
-0.3433281183242798,
0.10225143283605576... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it. Your job is to determine which sentence(s) from the passage can be used to search for further informati... | In early 2004, Omarion appeared in several films, most notably You Got Served in which he starred alongside Marques Houston, as well as his former B2K bandmates | 1 | NIv2 | task234_iirc_passage_line_answer_generation | zs_opt | [
0.5429791212081909,
0.8328536152839661,
-0.1668509840965271,
0.019888537004590034,
0.30943727493286133,
0.30569517612457275,
-0.21910801529884338,
0.4522014260292053,
-0.676311731338501,
0.6029564738273621,
0.09070547670125961,
-0.3737797141075134,
-0.2581939101219177,
-0.3925130367279053,... |
instruction:
In this task, you are given a sentence in the Swedish language and a corresponding English translation of the Swedish sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
question:
Swedish: Det rådande systemet medger öppenhet och erbjuder rättssäke... | No
| 9 | NIv2 | task314_europarl_sv-en_classification | fs_opt | [
-0.26534152030944824,
0.5344803333282471,
0.024751709774136543,
-0.17509038746356964,
0.17400267720222473,
-1.1681888103485107,
0.4551617205142975,
0.8422297239303589,
0.19288606941699982,
0.5379593372344971,
-0.04830150306224823,
0.1426204890012741,
0.006884867325425148,
-0.24597309529781... |
Teacher:Translate the given Spanish text to English
Teacher: Now, understand the problem? Solve this instance: The invention specially relates to an early treatment by the application of a high dose of at least 200mg folic acid, or an equivalent dose of a derivative during active ischemia, before the reperfusion.
Stude... | La invención especialmente se refiere a un tratamiento temprano por la aplicación de una dosis alta de al menos 200mg de ácido fálico, o una dosis equivalente de un derivado durante isquemia activa, antes de la reperfusión. | 6 | NIv2 | task840_para_pdt_en_es_translation | zs_opt | [
0.07404844462871552,
0.6251212954521179,
-0.3171476423740387,
-0.24861648678779602,
-0.45146259665489197,
-0.649177610874176,
0.808803915977478,
0.9655446410179138,
0.8418790102005005,
0.11533917486667633,
-0.2501090466976166,
0.011813448742032051,
-0.8672189712524414,
0.3121925890445709,
... |
Detailed Instructions: Given a post that is a real-life anecdote of a complex ethical situation and a question asks if AUTHOR, NOBODY, EVERYBODY, or OTHER is wrong in the situation. Answer the question and classify your answers into yes or no.
Problem:Is OTHER wrong in the post ? POST : My boyfriend and me want to move... | yes | 8 | NIv2 | task502_scruples_anecdotes_whoiswrong_verification | zs_opt | [
-0.25434252619743347,
0.22662119567394257,
0.17661073803901672,
0.6194385290145874,
-0.007852601818740368,
-1.53074049949646,
-0.1744738221168518,
0.6595999598503113,
0.5543132424354553,
0.10849570482969284,
0.012214156799018383,
0.16795682907104492,
-0.6770604848861694,
-0.096826657652854... |
TASK DEFINITION: In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
PROBLEM: The tests for seven and eleven year olds are not... | 安徽省阜陽市では特に発生が多い。
| 8 | NIv2 | task435_alt_en_ja_translation | fs_opt | [
0.36725908517837524,
0.07698138803243637,
0.05527855083346367,
-0.6954184770584106,
0.359968900680542,
-0.10545994341373444,
0.5888614654541016,
0.5361809730529785,
-0.0665741115808487,
-0.5507159233093262,
-0.17388570308685303,
0.7003622651100159,
-0.4423888325691223,
0.4618875980377197,
... |
Part 1. Definition
In this task, you are given a statement spoken by a politician in natural language. Your task is to generate the subject of the discussion for the given statement. The subject generated is not necessarily a part of the given input. Your answer should contain one or more words.
Part 2. Example
Says th... | redistricting | 7 | NIv2 | task613_politifact_text_generation | fs_opt | [
0.12921640276908875,
-0.02500426582992077,
-0.29604941606521606,
0.29235169291496277,
-0.213060200214386,
-0.9382880926132202,
0.376384437084198,
0.11720027029514313,
0.20995169878005981,
0.5185648202896118,
-0.6453148126602173,
0.2584019899368286,
-0.45410946011543274,
-0.1558108329772949... |
Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
Example: Who did the Han Chinese want to help the Khitan no I mean the Mongols fight?
Example solution: Who did the Han Chinese want to help the Mongols fight?
Example explanation: The input init... | Solution: How aren't incomes distributed in Sweden? | 5 | NIv2 | task1195_disflqa_disfluent_to_fluent_conversion | fs_opt | [
-0.11327502131462097,
0.44747382402420044,
-0.22717627882957458,
-0.8122363686561584,
-0.141859769821167,
-0.9057886004447937,
1.0132336616516113,
0.47819089889526367,
0.32379424571990967,
-0.2696686089038849,
-0.7698320150375366,
-0.7794051170349121,
-0.7500127553939819,
-0.27315923571586... |
You will be given a definition of a task first, then some input of the task.
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 yo... | b | 1 | NIv2 | task214_rocstories_incorrect_ending_classification | zs_opt | [
-0.2340032458305359,
0.4603859782218933,
-0.26316359639167786,
0.23320068418979645,
0.1770303100347519,
0.14541515707969666,
0.4067990183830261,
0.6399962306022644,
-0.033737584948539734,
0.1433742195367813,
-0.40456777811050415,
-0.4027710556983948,
0.05426669120788574,
0.1922284364700317... |
Teacher: You will be given a sentence that describes a restaurant. You will also be given a few categories of information regarding that sentence. Your task is to fill each of the categories with the appropriate information from the sentenece.
Teacher: Now, understand the problem? If you are still confused, see the fol... | price[moderate], rating[3 out of 5], cuisine[Italian] | 2 | NIv2 | task1597_nyc_slot_filling | fs_opt | [
-0.749175488948822,
0.1406601071357727,
-0.4729123115539551,
-0.4816283881664276,
-0.04904159903526306,
-0.014806119725108147,
0.8108062744140625,
1.1086277961730957,
0.2990463078022003,
-0.22746865451335907,
0.7579397559165955,
-0.13239026069641113,
-0.5221524834632874,
-0.452252447605133... |
In this task, you are given two strings A, B. Find the longest common substring in the strings A and B.
Q: wLLwjL, arLwXm
A: Lw
****
Q: HaIPcFXLhYDp, AdIPcFXtJdRE
A: IPcFX
****
Q: iWIZgpihowlScaY, LZRNMGIZgpihouQQgC
A: | IZgpiho
****
| 4 | NIv2 | task600_find_the_longest_common_substring_in_two_strings | fs_opt | [
-0.0033971699886024,
1.4315340518951416,
0.407096803188324,
-0.5468876361846924,
-0.4830375611782074,
-0.5821498036384583,
0.2657475173473358,
-0.14683200418949127,
-0.3831332325935364,
-1.2475672960281372,
-0.4774211645126343,
-0.4876108765602112,
-0.791244387626648,
0.43939265608787537,
... |
In this task, you are given a sentence from the Quran in English, and your task is to translate it into Persian.
[EX Q]: Abraham was indeed a model, devoutly obedient to Allah, (and) true in Faith, and he joined not gods with Allah:
[EX A]: بدون تردید، ابراهیم [به تنهایی] یک امت بود، برای خدا از روی فروتنی فرمانبردار ... | گفتند: ای موسی! مسلما در آنجا مردمی زورگو و ستمگر قرار دارند، و ما هرگز وارد آنجا نمیشویم تا آنان از آنجا بیرون روند، پس اگر از آنجا بیرون روند البته ما وارد خواهیم شد.
| 6 | NIv2 | task656_quran_en_fa_translation | fs_opt | [
-0.16200163960456848,
0.06272677332162857,
0.3559260368347168,
-0.5923669338226318,
-0.6299920678138733,
-1.0453507900238037,
0.6909536719322205,
0.22201180458068848,
-0.056504879146814346,
0.27445024251937866,
-0.5688772201538086,
0.3261013925075531,
-0.21060243248939514,
-0.5846539735794... |
Given the task definition, example input & output, solve the new input case.
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.
Example: Given Relationship: 'make', Sentence: 'Jenny made the announcement that her ... | married | 1 | NIv2 | task678_ollie_actual_relationship_answer_generation | fs_opt | [
-0.037423934787511826,
1.2659101486206055,
-0.008340401574969292,
-0.11484923958778381,
0.3155596852302551,
-0.3141813576221466,
-0.2497216910123825,
0.7795262336730957,
-0.17676642537117004,
0.1478957235813141,
-0.30029624700546265,
0.7035009860992432,
-0.09296078979969025,
-0.26299262046... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Answer the question from the given passage. Your answer should be directly extracted from the passage, and it should be a single entity, name, or number, not a sentence.
Passage: Martin Luther marri... | failed | 0 | NIv2 | task1608_xquad_en_answer_generation | fs_opt | [
0.6977421045303345,
0.799669623374939,
-0.817049503326416,
0.2374146580696106,
0.37576091289520264,
-0.4533870220184326,
-0.140135258436203,
0.3002118170261383,
0.19402964413166046,
-0.03904758393764496,
0.7956657409667969,
1.0028674602508545,
-0.9317770004272461,
0.6107343435287476,
-0.... |
TASK DEFINITION: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to determine if the two sentences clearly agree/disagree with each other, or if this can't be determined. Indicate your answer as yes or no respectively.
PROBLEM: Sentence 1: This campaign helps fill that gap in lega... | yes
| 8 | NIv2 | task199_mnli_classification | fs_opt | [
-0.9798317551612854,
0.08574390411376953,
0.5927008986473083,
-0.43641039729118347,
0.07624243944883347,
-0.8480119705200195,
0.5510717630386353,
1.632385492324829,
0.2780860662460327,
0.23251765966415405,
-0.6300976276397705,
-0.4584735333919525,
-0.7718801498413086,
-0.21472609043121338,... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.
PROBLEM/CONDITION Since 1973, CDC has maintained a collaborative surveillance program for collection... | Surveillance for foodborne-disease outbreaks--United States, 1993-1997. | 1 | NIv2 | task1586_scifact_title_generation | zs_opt | [
0.20548906922340393,
-0.6513651609420776,
-0.6138979196548462,
-0.08056475222110748,
-0.008158549666404724,
-0.013352994807064533,
0.4191420376300812,
1.284385323524475,
-0.722956120967865,
0.30571988224983215,
-0.44207581877708435,
0.16753560304641724,
-0.33220502734184265,
0.624832868576... |
This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, object] are similar to each other. The input is a list of... | DISSIMILAR
****
| 4 | NIv2 | task1408_dart_similarity_classification | fs_opt | [
0.22923803329467773,
-0.038234446197748184,
0.017153354361653328,
-0.44231584668159485,
-0.11697602272033691,
-0.07211785763502121,
0.723291277885437,
0.08620200306177139,
0.07377307116985321,
-0.34070611000061035,
-0.5921391844749451,
0.15984411537647247,
-0.47538840770721436,
-0.03682034... |
Teacher:Given an adjective, generate its antonym. An antonym of a word is a word opposite in meaning to it.
Teacher: Now, understand the problem? Solve this instance: thematic
Student: | unthematic | 6 | NIv2 | task1508_wordnet_antonyms | zs_opt | [
0.4910447597503662,
1.3514328002929688,
0.8470203876495361,
-0.4183272421360016,
-0.6267482042312622,
-1.2227991819381714,
-0.19041846692562103,
0.502335250377655,
0.4158787727355957,
-0.7097301483154297,
-0.26107552647590637,
-0.37802326679229736,
-1.3871572017669678,
-0.2459879219532013,... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Japanese.
لهذا ، الأمر المحزن هو أن هذه الشمبانزي — التي من المحتمل علمتنا ، أكثر من أي مخلوق آخر ، قليلا من التواضع — في الحياة البرية ، تختفي بصورة سريعة جداً.
やるせないのは他の生き物以上に謙虚さを教えてくれたチンパンジーが急速に野生から消え去っていること
لذلك استخدمنا محرك دف... | 数年前ブリアナは勉強で後れを取り始めました
| 0 | NIv2 | task1231_ted_translation_ar_ja | fs_opt | [
-1.0124512910842896,
0.3924930691719055,
-0.059872258454561234,
-0.926753044128418,
-0.6156237721443176,
-0.3160429000854492,
0.4525660276412964,
-0.21241256594657898,
0.3084695339202881,
-0.17113004624843597,
-1.215995192527771,
0.1909264624118805,
-0.6898218393325806,
0.41654571890830994... |
Teacher: 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 contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid usin... | Bowlers are bowling. | 2 | NIv2 | task189_snli_neutral_to_contradiction_text_modification | fs_opt | [
-0.04573239013552666,
0.5638024806976318,
0.4004251956939697,
-0.6395552754402161,
0.49872684478759766,
-0.7066466212272644,
-0.4734640121459961,
0.4760186970233917,
-0.09369350969791412,
-0.7117472290992737,
-0.5585910677909851,
-0.006691028829663992,
-0.5108044743537903,
-0.5989040136337... |
Given the task definition and input, reply with output. You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long.
The answers need to be context specific and can not be general knowledge or a random guess.
CONTEXT: En dos entrevistas concedidas esta noc... | presión del partido para que citara a sus donantes | 5 | NIv2 | task1334_sqac_answer_generation | zs_opt | [
0.008677560836076736,
0.4790496826171875,
-0.4771617352962494,
-0.27396515011787415,
0.051187872886657715,
0.6196067333221436,
1.3871147632598877,
0.8442436456680298,
-0.11665575206279755,
-0.020122680813074112,
0.39820989966392517,
0.49812155961990356,
-1.1687169075012207,
0.6862460374832... |
Detailed Instructions: 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 ... | PersonX gave the apple to PersonY during class to try to gain his favor. _ was a suckup. | 8 | NIv2 | task032_winogrande_question_generation_person | zs_opt | [
0.3380727469921112,
0.8700287938117981,
-0.1838563084602356,
-0.22858677804470062,
-0.08216717839241028,
-0.026937101036310196,
0.32494762539863586,
0.7717052698135376,
-0.06030698120594025,
-0.49807146191596985,
0.03789731115102768,
-0.11593553423881531,
-0.38587236404418945,
0.1169400662... |
Given the task definition, example input & output, solve the new input case.
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 contradict each other. Generated sentences must be short, with less than 15 words. New info... | the two ladies are watching tv | 1 | NIv2 | task187_snli_entailment_to_contradiction_text_modification | fs_opt | [
0.012089069932699203,
0.8554006814956665,
0.10695755481719971,
0.018135201185941696,
0.6296029090881348,
-0.06041031330823898,
-0.3913273215293884,
0.9741577506065369,
0.35405710339546204,
-0.08304445445537567,
-0.7798035144805908,
-0.18766790628433228,
-0.15959331393241882,
-0.23865114152... |
In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned. Zero should be counted as an even number.
[190, 97, 1... | []
| 0 | NIv2 | task205_remove_even_elements | fs_opt | [
-0.8126876354217529,
0.4688728451728821,
-0.18622331321239471,
-0.7820120453834534,
0.24546220898628235,
-0.16478750109672546,
0.9456854462623596,
0.4809504747390747,
-0.6277403831481934,
0.6454300284385681,
-0.9663187861442566,
0.02989330142736435,
-0.3447515666484833,
-0.3406879603862762... |
Teacher:In this task, you are given a sentence in either Spanish or English. Your task is to determine the language of the input sentence. Input sentences can only be in Spanish or English, and they cannot be in two languages at the same time.
Teacher: Now, understand the problem? Solve this instance: Hemos contribui... | Spanish | 6 | NIv2 | task533_europarl_es-en_language_identification | zs_opt | [
-0.2575516104698181,
0.3508317768573761,
0.7494981288909912,
-0.48353737592697144,
0.35602420568466187,
-1.0417466163635254,
-0.24079161882400513,
1.1358959674835205,
0.018854986876249313,
-0.17009763419628143,
-0.4032954275608063,
-0.04162527993321419,
-0.29177117347717285,
-1.01256144046... |
instruction:
"Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes, and"... | Response 2
| 9 | NIv2 | task362_spolin_yesand_prompt_response_sub_classification | fs_opt | [
0.3201335668563843,
0.9017320871353149,
0.1969972848892212,
0.056893907487392426,
0.2924394905567169,
-0.5919696092605591,
0.46543005108833313,
0.6750853657722473,
-0.46488311886787415,
-0.13651785254478455,
-0.6736174821853638,
0.2661726474761963,
-0.7055204510688782,
0.2567776143550873,
... |
Detailed Instructions: In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
Problem:و [نیز] بر آن سه تن که بر جاى مانده بودند، [و قبول توبه آنان به تعویق افتاد] تا آنجا که زمین با همه فراخىاش بر آنان تنگ گردید، و از خود به تنگ آمدند و دانستند که پناهى از خدا ... | He has relented towards the three also (who had refused to go to the battle of the Ditch) whose case was left undecided, and even the earth with all its expanse had become narrow for them, and their lives were confined, and they came to realise there was no refuge for them except in God. So He softened towards them tha... | 8 | NIv2 | task657_quran_fa_en_translation | zs_opt | [
-0.4231168031692505,
1.3783531188964844,
-0.8592965602874756,
-0.8056262731552124,
-0.7903038263320923,
-0.13820591568946838,
1.4385323524475098,
0.5468312501907349,
-0.08509304374456406,
0.017742285504937172,
-0.9224322438240051,
1.106741189956665,
-0.10229847580194473,
0.2416280955076217... |
Detailed Instructions: Given a paragraph from a Wikipedia article about some topic, and a question related to the topic, determine whether the question is answerable from the paragraph. If the question is answerable, answer "True", otherwise, answer "False".
Problem:During the 1960s the Department of Defense continued ... | False | 8 | NIv2 | task1640_aqa1.0_answerable_unanswerable_question_classification | zs_opt | [
1.0082207918167114,
0.05617395415902138,
-0.34354037046432495,
-0.2099270075559616,
-0.4048275649547577,
-0.3740522861480713,
1.3747708797454834,
0.6345548629760742,
0.4003119170665741,
-0.2865620255470276,
-0.5240820050239563,
-0.04233185946941376,
-1.2684191465377808,
0.28525984287261963... |
instruction:
In this task, you are given two sets, and a question. You need to find whether an element is at the intersection of two given sets. A Set is shown by two curly braces and comma-separated numbers inside, like {1, 2, 3}. The intersection of two given sets is the largest set which contains all the elements t... | No
| 9 | NIv2 | task245_check_presence_in_set_intersection | fs_opt | [
0.6326839923858643,
-0.612062931060791,
-0.7917927503585815,
0.5512330532073975,
-0.14715352654457092,
-0.5251059532165527,
0.6972650289535522,
0.706057608127594,
-0.27860838174819946,
-0.1441480815410614,
-0.5763671398162842,
-0.22657674551010132,
-0.015610093250870705,
-0.361992418766021... |
In this task, you are given a question, and your task is to predict the context of the question. We assume that someone named X asked the question from Y. The context of the question means the previous situation that led X to ask this question.
Q: Is your current job too stressful?
A: Y has just told X that he/she is... | Y has just travelled from a different city to meet X.
****
| 4 | NIv2 | task567_circa_text_generation | fs_opt | [
-0.40134215354919434,
0.9887697696685791,
-0.20155885815620422,
-0.34319043159484863,
0.12657269835472107,
0.21850788593292236,
0.19095440208911896,
0.8314023017883301,
0.7152401208877563,
-0.47465449571609497,
-0.1289471685886383,
-0.13026374578475952,
-0.5638362169265747,
0.4679625034332... |
In this task, you are given a string S and a character c separated by a comma. You need to check if the character c is present in S or not. Return 1 if it is present, else return 0.
Example input: IcLCZgiymDWVHOGsOMdoksiLJoj, h
Example output: 0
Example explanation: h is not present in the string.
Q: CHnqVxaDEnrRSZilF... | 0 | 3 | NIv2 | task1189_check_char_in_string | fs_opt | [
-0.7943946719169617,
0.7181643843650818,
0.11494386196136475,
-0.4601213335990906,
0.318919837474823,
-1.189170002937317,
1.1955478191375732,
0.19984589517116547,
-0.12476669251918793,
0.017352472990751266,
-0.020996030420064926,
-0.033180929720401764,
-0.02038862183690071,
-0.540068864822... |
Definition: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
Input: ألهمني ذلك للغاية
Output: | Mi ha ispirato moltissimo. | 2 | NIv2 | task1106_ted_translation_ar_it | zs_opt | [
0.1880986988544464,
0.3870854377746582,
-0.040779754519462585,
0.3347744345664978,
-0.44374510645866394,
-1.375945806503296,
0.5354535579681396,
0.0841749906539917,
0.26606491208076477,
-0.056529417634010315,
-0.7440362572669983,
0.0669361799955368,
-0.9112855195999146,
0.21746432781219482... |
Given the task definition and input, reply with output. Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief m... | green_cupboard | 5 | NIv2 | task153_tomqa_find_location_hard_clean | zs_opt | [
-0.6457862854003906,
-0.8175623416900635,
-0.3944455087184906,
0.2783825993537903,
-0.5776768326759338,
-0.07961151003837585,
0.37037214636802673,
0.9576437473297119,
0.1164359599351883,
-0.05265480652451515,
-0.2013816237449646,
1.0363327264785767,
-0.27073192596435547,
0.0038796626031398... |
Definition: Given a sentence in the Japanese, provide an equivalent translation in Bahasa Indonesia that retains the same meaning through the translation. In translation, keep numbers as it is.
Input: 合意にはまだプラネットアウトの普通株主の過半数の承認、規制当局への報告書の提出、賛同の承認が必要である。
Output: | Perjanjian ini masih harus disetujui oleh mayoritas pemegang saham PlanetOut, sesuai dengan pengajuan peraturan dan persetujuan, dan memenuhi berbagai kondisi tertutup. | 2 | NIv2 | task1115_alt_ja_id_translation | zs_opt | [
-0.7493513226509094,
0.13767442107200623,
-0.41886425018310547,
-0.20667704939842224,
-0.25228849053382874,
-0.3357653021812439,
0.6084753274917603,
-0.4783604145050049,
0.3839187026023865,
-0.1114085242152214,
-1.1837661266326904,
0.6217237710952759,
-1.0381730794906616,
0.531281411647796... |
You are given a list of queries separated by new line. Your job is to answer with the query that is the most well-formed or well-structured query in terms of grammar, punctuations, or spelling errors.
One example: What is the product of transcripition durring gene expression ?
The four main parts of the brain ?
What de... | How do you change the fan belt ? | 6 | NIv2 | task675_google_wellformed_query_sentence_generation | fs_opt | [
-0.49038469791412354,
0.3982000946998596,
-0.091620072722435,
-0.25946834683418274,
-0.12279168516397476,
-0.2026103436946869,
0.20789997279644012,
-0.17172452807426453,
0.3346070647239685,
-0.6892869472503662,
-0.8061407208442688,
-0.021338902413845062,
-0.3443312644958496,
0.572452425956... |
instruction:
In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the gendered pronouns in the text and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable.
... | Identifiable
| 9 | NIv2 | task351_winomt_classification_gender_identifiability_anti | fs_opt | [
-1.1622802019119263,
0.5566371083259583,
0.1940270960330963,
-0.49226266145706177,
0.0835295021533966,
-0.05960492417216301,
-0.7861423492431641,
0.9969460964202881,
0.6643978953361511,
0.22601157426834106,
-0.792656421661377,
-0.05464964359998703,
-0.314041405916214,
-0.5900216102600098,
... |
You are given a question. You need to detect which category better describes the question. A question belongs to the description category if it asks about description and abstract concepts. Entity questions are about entities such as animals, colors, sports, etc. Abbreviation questions ask about abbreviations and expre... | Entity | 0 | NIv2 | task1289_trec_classification | zs_opt | [
-0.1321338415145874,
-0.09450208395719528,
-0.0652938187122345,
0.5101714134216309,
-0.0029190098866820335,
-0.9541945457458496,
0.3594849109649658,
-0.17234750092029572,
-0.09863084554672241,
-0.329399049282074,
-0.7545574307441711,
0.12418525665998459,
-0.3310895264148712,
0.084948807954... |
Definition: In this task you will be given a list of integers. You should find the minimum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the smallest possible absolute distance.
Input... | 5 | 2 | NIv2 | task1445_closest_integers | zs_opt | [
-0.313316285610199,
0.3122962415218353,
-0.08665826916694641,
-0.3828258216381073,
-0.016426630318164825,
-0.2085171937942505,
0.6069335341453552,
-0.10156866908073425,
0.8621962666511536,
-0.1632080078125,
-0.6728224158287048,
-0.560248613357544,
-0.5363631248474121,
0.23222632706165314,
... |
Instructions: In this task you will be given a string that only contains single digit numbers spelled out. The input string will not contain spaces between the different numbers. Your task is to return the number that the string spells out. The string will spell out each digit of the number for example '1726' will be '... | 38999 | 3 | NIv2 | task1443_string_to_number | zs_opt | [
-0.537304162979126,
1.2837538719177246,
-0.8018568754196167,
-1.3746531009674072,
-0.3707481622695923,
-0.25711360573768616,
0.7496373653411865,
0.27115464210510254,
-0.28055885434150696,
-0.5241321921348572,
-0.4690456986427307,
0.6750067472457886,
-1.2889485359191895,
-0.6672536730766296... |
Detailed Instructions: In this task, you are given a sentence in the Swedish language and a corresponding English translation of the Swedish sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
Problem:Swedish: I en bransch som omsätter omkring 600 biljoner om å... | Yes | 8 | NIv2 | task314_europarl_sv-en_classification | zs_opt | [
-1.0883500576019287,
0.7735055088996887,
0.3087226152420044,
-0.11237695813179016,
0.09730339050292969,
-0.3210991621017456,
0.08948124945163727,
0.5131571888923645,
0.5737581253051758,
-0.15758776664733887,
-0.09978480637073517,
0.9318541288375854,
-0.3896588683128357,
-0.0155318360775709... |
Your task is to generate the next utterance in a given dialogue. You will be given a few sentences describing the personality of the person who is making the dialogue, and a history of the dialogue after that. Each line in the history is said by one of the two participants in the conversation.
[EX Q]: Personality: I c... | Then I'll film you after all. I love putting smiles on peoples faces.
| 6 | NIv2 | task1729_personachat_generate_next | fs_opt | [
-0.19071945548057556,
0.44681811332702637,
-0.0036386456340551376,
0.13881315290927887,
-0.15392573177814484,
0.40621116757392883,
0.7948826551437378,
0.8612037301063538,
-0.2573535442352295,
-0.3908204138278961,
0.09456758201122284,
-0.01301353145390749,
-0.058325137943029404,
0.187777444... |
A text is given in Panjabi. Translate it from the Panjabi language to the Tamil language. The translation must not omit or add information to the original sentence.
புதிய ராய்ப்பூர் பொலிவுறு நகரத்தைப் பிரதமர் திரு. | ਨਯਾ ਰਾਏਪੁਰ ਸਮਾਰਟ ਸਿਟੀ | 0 | NIv2 | task1016_pib_translation_tamil_punjabi | zs_opt | [
0.03639351576566696,
1.1638438701629639,
0.22239962220191956,
0.034460633993148804,
-0.023028720170259476,
-0.9560006260871887,
0.8337756395339966,
0.5983632802963257,
0.183615043759346,
-0.03202509135007858,
-1.1974971294403076,
-0.08206432312726974,
-0.6229173541069031,
0.459230393171310... |
Given the task definition, example input & output, solve the new input case.
In this task, you need to replace a letter in the sentence with another given letter.
Example: Sentence: 'group of motorcycle motorists trying to merge into traffic'. Replace the letter 'o' with 'n' in the sentence.
Output: grnup nf mntnrcycle... | a aerson is surfing on a wave in the ocean | 1 | NIv2 | task160_replace_letter_in_a_sentence | fs_opt | [
-0.8257136940956116,
0.7120293378829956,
-0.8054686784744263,
-0.5779468417167664,
0.2613532841205597,
0.23844873905181885,
-0.3061729073524475,
0.6502594947814941,
0.42165327072143555,
-0.09489519894123077,
-0.31297966837882996,
-0.32211774587631226,
0.4187527894973755,
-0.952216029167175... |
Given the task definition and input, reply with output. 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".
the newly sharpened chainsaw cut trough the rotten wood very fast, the _ was sharp. (A) wood (B)... | B | 5 | NIv2 | task1391_winogrande_easy_answer_generation | zs_opt | [
0.4770958423614502,
1.4683139324188232,
-0.3557439148426056,
-0.5589389801025391,
-0.3872261047363281,
-0.5420464277267456,
0.4086197018623352,
0.5086629390716553,
0.15511363744735718,
0.4052268862724304,
-0.2998312711715698,
-0.13008421659469604,
0.046291083097457886,
0.292733758687973,
... |
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