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 |
|---|---|---|---|---|---|---|
instruction:
In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's th... | False
| 9 | NIv2 | task1187_politifact_classification | fs_opt | [
-0.44547075033187866,
0.3744392991065979,
-0.11484017968177795,
-0.1079518273472786,
-0.5295624732971191,
-0.838444173336029,
1.0394845008850098,
-0.11401808261871338,
0.5098949670791626,
-0.18924617767333984,
0.23209106922149658,
0.41868484020233154,
-0.0891365259885788,
0.295619130134582... |
In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given two options and you need to select the one that best connects the first sentence with the rest of the story. Indicate your answer by 'Option 1' if the first option is correct, otherwise 'Optio... | Option 2
****
| 4 | NIv2 | task065_timetravel_consistent_sentence_classification | fs_opt | [
-0.12782397866249084,
0.2998316287994385,
-0.39930352568626404,
0.4699835777282715,
0.18131646513938904,
-0.648522675037384,
-0.05028997361660004,
0.9931401014328003,
0.33336377143859863,
0.19152487814426422,
-0.4872499704360962,
0.12305687367916107,
-0.749925971031189,
0.11012972146272659... |
Given the task definition, example input & output, solve the new input case.
Combine the given two facts to write a concluding fact. Note that there should be some parts of the first and second facts that are not mentioned in this conclusion fact. Your combined fact should be the result of a chain between the two facts... | Fahrenheit falls from the equator to the poles. | 1 | NIv2 | task038_qasc_combined_fact | fs_opt | [
0.07515116035938263,
0.20559057593345642,
-0.8785080909729004,
0.6441969871520996,
0.027124352753162384,
-1.266242265701294,
-0.2233753800392151,
1.0571627616882324,
-0.6129109859466553,
-0.10969222337007523,
-0.8881157636642456,
0.6572425961494446,
-0.1749308556318283,
-0.1314948201179504... |
You will be given a definition of a task first, then some input of the task.
Write an incorrect answer to the given question based on the associated fact. You are also provided with the correct answer to the given question. Make sure that your incorrect answer is relevant and similar to the associated fact. Also, try t... | bones. | 1 | NIv2 | task042_qasc_incorrect_option_generation | zs_opt | [
0.025524258613586426,
0.5212570428848267,
0.1152106374502182,
-0.3146548867225647,
0.26097166538238525,
-1.3256618976593018,
-0.22846290469169617,
0.2379704862833023,
0.2644241154193878,
-0.4783363342285156,
-0.7064917087554932,
0.30738669633865356,
-0.609788179397583,
0.6219150424003601,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given 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 re... | No | 0 | NIv2 | task1202_atomic_classification_xneed | fs_opt | [
0.6751835346221924,
-0.03632692992687225,
0.10451575368642807,
0.17583535611629486,
-0.021647270768880844,
-0.44225290417671204,
0.8896353244781494,
0.6083693504333496,
-0.6689481139183044,
-0.2917553186416626,
-0.35719653964042664,
-0.4308205842971802,
-0.4445568323135376,
0.0386061593890... |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
One example is below.
Q: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in busines... | positive | 9 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt | [
-0.5052229166030884,
-0.23864561319351196,
0.2929055690765381,
-0.44550657272338867,
0.13431721925735474,
-0.618524432182312,
0.14493490755558014,
0.7671855688095093,
-0.04296727851033211,
0.9157605767250061,
-0.1513911634683609,
-0.04160000756382942,
-0.6005009412765503,
-0.60093963146209... |
In this task you will be given an arithmetic operation and you have to find its answer. The operators '+' and '-' have been replaced with new symbols. Specifically, '+' has been replaced with the symbol '@' and '-' with the symbol '#'. You need to perform the operations in the given equation return the answer
Input: C... | Output: -1874
| 2 | NIv2 | task087_new_operator_addsub_arithmetic | fs_opt | [
-0.05179610475897789,
0.6340183615684509,
-1.059192419052124,
0.17468947172164917,
-0.385942667722702,
-0.28766268491744995,
0.1224001795053482,
1.116976022720337,
0.8004944324493408,
0.0018761835526674986,
-0.6433131098747253,
-0.3181055188179016,
0.10130755603313446,
0.20365388691425323,... |
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... | This was his hobby.
****
| 4 | NIv2 | task270_csrg_counterfactual_context_generation | fs_opt | [
0.6511470079421997,
0.14029604196548462,
-0.08128675073385239,
-0.0058533125557005405,
0.28466561436653137,
-1.2223196029663086,
0.22130638360977173,
1.4685337543487549,
-0.03462958335876465,
-0.35338571667671204,
-0.7831010818481445,
0.16760367155075073,
-0.2877017855644226,
0.28379526734... |
The task is to write a full sentence or two using all of the information given. The sentence(s) will be a brief review of a restaurant. Use all of the information provided.
Example input: name[xname], cuisine[Fast Food], rating[average], familyFriendly[yes], near[xnear]
Example output: Located near xnear, xname serves... | An Italian coffee shop near xnear that is not family-friendly is called xname. It has an average customer rating. | 3 | NIv2 | task1598_nyc_long_text_generation | fs_opt | [
-0.549627423286438,
0.6417019367218018,
-0.9899278879165649,
-0.39177292585372925,
-0.5177626609802246,
-0.015624621883034706,
1.0094074010849,
0.7021679878234863,
0.31267935037612915,
-0.7878166437149048,
0.4469592869281769,
-0.15823301672935486,
-0.6139253973960876,
-0.06419256329536438,... |
Teacher:Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact.
Teacher: Now, understand the problem? Solve this instance: Tagalog sentence: Sa pamamagitan ng late 1940s, gayunpaman, ang kanyang kalusugan ay nagsimulang lumubha muli at siya n... | By the late 1940s, however, his health began to deteriorate again and he spent the last two and a half years of his life in nursing homes: | 6 | NIv2 | task451_opus_paracrawl_tl_en_translation | zs_opt | [
0.05275636911392212,
0.76519775390625,
-0.016799896955490112,
-0.7903717756271362,
-0.12155340611934662,
-0.6917554140090942,
0.5110760927200317,
0.5170653462409973,
-0.10159813612699509,
-0.6246636509895325,
0.4133250117301941,
0.7745025157928467,
-1.142383337020874,
-0.18947136402130127,... |
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 output 'Yes' if the given number is a prime number otherwise output 'No'. A 'prime number' is a a whole number above 1 that can not be made by multiplying other whole number... | Yes | 0 | NIv2 | task092_check_prime_classification | fs_opt | [
-0.1976565718650818,
1.1979471445083618,
-0.04545210301876068,
-0.1866656094789505,
-0.08691800385713577,
-0.21305252611637115,
0.8567166328430176,
0.8870458602905273,
0.5305058360099792,
-0.12164188176393509,
-0.07252049446105957,
-0.13011690974235535,
-0.22147208452224731,
0.336651921272... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
A question is presented to you in this task, and your job is to write a potentially correct answer.
where did france surrender ww2?
Solution: Mediterranean Sea
Why? This is a good example and the ou... | Tan | 0 | NIv2 | task1412_web_questions_question_answering | fs_opt | [
-0.645631730556488,
0.3290354907512665,
-0.4790547490119934,
-0.28840845823287964,
-0.14241984486579895,
0.1847509741783142,
0.5525895357131958,
0.003621469484642148,
1.141305685043335,
-0.04189583659172058,
0.26401323080062866,
-0.1720273196697235,
-0.1064734160900116,
-0.0487687662243843... |
Part 1. Definition
In this task, you are given an utterance, which is a part of a conversation between a user and an agent. Your job is to detect the speaker. The user usually commands the agent to schedule events, retrieve event information, and check the schedule. While the agent's response is an answer to the user's... | user | 7 | NIv2 | task1599_smcalflow_classification | fs_opt | [
0.003024535719305277,
0.4619766175746918,
-0.23451489210128784,
0.058501891791820526,
0.09350693225860596,
-0.24700452387332916,
0.5909157991409302,
-0.11001621931791306,
0.3301542401313782,
0.10707035660743713,
-0.4434625506401062,
-0.215850830078125,
-0.8624423742294312,
0.28117531538009... |
Detailed Instructions: In this task, you need to reverse the order of words in the given sentence.
Q: Sentence: a man holding a cake with the words dad spelled on it
A: | it on spelled dad words the with cake a holding man a | 9 | NIv2 | task376_reverse_order_of_words | zs_opt | [
0.6874394416809082,
1.297215461730957,
0.3350900113582611,
-1.4331713914871216,
-0.7760136127471924,
-0.06016291305422783,
0.7137230634689331,
0.8766108751296997,
-0.16073185205459595,
-0.2036994993686676,
-0.37872159481048584,
0.34211528301239014,
-0.8165435791015625,
-0.28288066387176514... |
A text is given in Panjabi. Translate it from the Panjabi language to the Urdu language. The translation must not omit or add information to the original sentence.
Example Input: ਸਰਕਾਰ ਨੇ 6 ਵਿਦਿਅਕ ‘ਉਤਕ੍ਰਿਸ਼ਟ ਸੰਸਥਾਨ’ ਐਲਾਨ ਕੀਤੇ: ਜਨਤਕ ਖੇਤਰ ਤੋਂ 3 ਅਤੇ ਨਿੱਜੀ ਖੇਤਰ ਤੋਂ 3 ਸੰਸਥਾਵਾਂ ਦੀ ਚੋਣ ਕੀਤੀ ਗਈ
Example Output: حکومت نے 6تعلیم... | اس پروجیکٹ کا مقصد خواتین، بچوں اور سماج کے کمزور طبقات کی ضرورتوں کے تئیں حساس ہوتے ہوئے‘‘ ملک گیر رسائی’’ کو یقینی بنانا ہے۔ یہ نہ صرف سرکاری ٹرانسپورٹ کے تئیں کشش بڑھانے میں اہم ہے بلکہ یہ مساوات ہمہ گیر ترقی کو فروغ دینے کے لئے سماج کے حاشیہ پر کھڑے اور کمزور طبقات کی شراکت اور ان کی نقل وحرکت کی حوصلہ افزائی کرنا ... | 3 | NIv2 | task1051_pib_translation_punjabi_urdu | fs_opt | [
-0.20174600183963776,
0.14585748314857483,
-0.06715647876262665,
-0.6245321035385132,
-0.11271826922893524,
0.4056272506713867,
0.7762448191642761,
0.5050565004348755,
0.2778894007205963,
-0.018139008432626724,
-0.48636454343795776,
-0.03274127468466759,
-0.12442676723003387,
-0.2056171745... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
[EX Q]: ומה שאנחנו רוצים לומר עם "" כן זה יותר "", זה בעיקרון להטיל ספק ברעיון שהחדשנות באדריכלות כמעט תמיד מוגדרת בצורה שלילית, בתור נגד מי או נגד מה אנחנו.
[EX A]: And what we'd like to say with "" Yes is More "" is basica... | Another factor of, say, six in dimensional reduction, which should give us about another factor of 100 in raw improvement in what the chips can do. And so, to put that in practical terms, if something costs about 1,000 dollars today, say, the best personal computer you can buy, that might be its cost, I think we can ha... | 6 | NIv2 | task1234_ted_translation_he_en | fs_opt | [
0.28149157762527466,
-0.28282156586647034,
0.5477041602134705,
0.8936452865600586,
0.28536856174468994,
-0.8067872524261475,
-0.2732706069946289,
0.9338366389274597,
0.3833233714103699,
0.2406395673751831,
0.08354900777339935,
0.3384706377983093,
-0.7613577842712402,
0.01785663515329361,
... |
Given the task definition and input, reply with output. This task is about translating a given Spanish language sentence to English.
O yo mismo, que no me considero en absoluto una persona anti nada, que si no fuera porque conozco a la gente que estaba allí y porque he visto los vídeos, pues a lo mejor una parte de mí... | Or even myself, I don't think I'm anti anything, but if I didn't know the people who were there and if I hadn't seen the videos maybe I'd have thought there had been agitators within the group. | 5 | NIv2 | task1692_qed_amara_translation | zs_opt | [
-0.4613231122493744,
0.7342796325683594,
0.45430195331573486,
0.311306893825531,
-0.22903089225292206,
-0.49972662329673767,
0.2817745804786682,
1.1430788040161133,
0.4956088662147522,
-0.3510487675666809,
0.42851877212524414,
0.3843996524810791,
-0.6975975632667542,
-0.4627358317375183,
... |
Detailed Instructions: 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 and t... | 1b, 2c | 8 | NIv2 | task222_rocstories_two_chioce_slotting_classification | zs_opt | [
-0.03681532293558121,
0.2068098485469818,
0.2818896174430847,
-0.026422169059515,
-0.2730744779109955,
-0.07455670833587646,
0.43470218777656555,
0.9877482056617737,
-0.6746619343757629,
-0.007909996435046196,
-0.628730058670044,
-0.1188623309135437,
-0.27460622787475586,
-0.31184178590774... |
Teacher:In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have t... | Yes | 6 | NIv2 | task1202_atomic_classification_xneed | zs_opt | [
0.454904168844223,
0.17733809351921082,
0.3709683120250702,
-0.2745444178581238,
-0.4900580048561096,
-0.7969265580177307,
1.3372492790222168,
0.3415753245353699,
-0.3862031102180481,
-0.5895372033119202,
-0.39868301153182983,
-0.23362427949905396,
-0.7702531814575195,
0.331365704536438,
... |
Definition: You are given a movie review in the French language. You need to predict its sentiment. Output a 0 for negative sentiment and a 1 for positive sentiment.
Input: Comédie simple et efficace sans autre prétention que de divertir et de faire rire, ce qu’elle parvient tout à fait. Les comédiens s’en donnent à cœ... | 1 | 2 | NIv2 | task1591_allocine_classification | zs_opt | [
-0.0572139136493206,
0.779971182346344,
-0.16321219503879547,
-0.10188376158475876,
0.5454661250114441,
-0.055883798748254776,
0.23123353719711304,
0.4530254602432251,
0.29095906019210815,
0.8775583505630493,
-0.686607837677002,
-0.4623557925224304,
-0.003927282057702541,
-0.18530593812465... |
Detailed Instructions: In this task, you must classify if a given review is positive/negative, indicating your answer as P or N.
Q: "
when you get out of jail , you can kill him .
" starring ashley judd , tommy lee jones , bruce greenwood .
rated r. double jeopardy is a lurid , prepostrous thriller that 's also one of ... | P | 9 | NIv2 | task1361_movierationales_classification | zs_opt | [
-0.026353782042860985,
0.457441121339798,
-0.47132980823516846,
0.3277842104434967,
0.7624251842498779,
0.5222833156585693,
1.4021782875061035,
0.978408932685852,
-0.0428130105137825,
0.5529804229736328,
-0.4745309352874756,
0.13043005764484406,
-0.6894170045852661,
0.08720383048057556,
... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Japanese.
Problem:So we started to change genes at random, looking for long-lived animals.
Solution: | 遺伝子をランダムに変え長生きをする個体を探しました | 8 | NIv2 | task1218_ted_translation_en_ja | zs_opt | [
-1.301433801651001,
0.5513838529586792,
0.16824871301651,
-0.5413313508033752,
-0.45413869619369507,
-0.9284253716468811,
-0.31531691551208496,
0.47825467586517334,
-0.026318121701478958,
-0.6117582321166992,
-0.3240307569503784,
-0.03298916295170784,
-1.279757022857666,
0.2993420958518982... |
Q: In this task you are given a list of triplets of the form [subject, predicate, object] and the output should be a question based on the triplets but with the subject and/or object replaced with blanks (represented using two or more consecutive underscores). Triplet values encompassed in [*] are special tokens that c... | _____ is a low-priced _____ that serves fast food and is Family-Oriented. | 7 | NIv2 | task1407_dart_question_generation | zs_opt | [
-0.6300292015075684,
0.35337695479393005,
0.036905743181705475,
-0.4229235053062439,
-0.011316652409732342,
0.17126092314720154,
0.8532611131668091,
0.33234331011772156,
-0.24092337489128113,
-0.28236278891563416,
0.025211479514837265,
0.19689759612083435,
-0.17649154365062714,
-0.19186782... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the numerical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no numerical element is in the list.
Example: ['238', '... | Solution: 1, 2, 3, 4, 6, 8 | 5 | NIv2 | task507_position_of_all_numerical_elements_in_list | fs_opt | [
0.006648112554103136,
0.15875357389450073,
-0.25487926602363586,
-0.5898503065109253,
0.2735055088996887,
-0.1326359659433365,
1.1704206466674805,
0.15615814924240112,
-0.3099084496498108,
0.4100435674190521,
-0.7039017677307129,
-0.09226343035697937,
-0.10151338577270508,
-0.0287870652973... |
Detailed Instructions: In this task, you are given books product reviews in English language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Problem:A mystery about foxhunters - with clever dialogue . I have... | POS | 8 | NIv2 | task476_cls_english_books_classification | zs_opt | [
-0.4943962097167969,
-0.1731823980808258,
0.32466602325439453,
0.14186561107635498,
0.5239742994308472,
-0.36115211248397827,
0.4625662863254547,
-0.016531139612197876,
0.5922561883926392,
0.3968919515609741,
-0.44623780250549316,
-0.09636127948760986,
-0.532659649848938,
0.096674308180809... |
Detailed Instructions: In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each ci... | (E) | 9 | NIv2 | task268_casehold_legal_answer_generation | zs_opt | [
0.2887498140335083,
0.3456554114818573,
-0.2796137034893036,
0.2041311264038086,
0.1474650502204895,
-0.8263780474662781,
0.024059779942035675,
1.185100793838501,
-0.4205966591835022,
-0.21359550952911377,
-0.7788023352622986,
-0.015994761139154434,
-0.4437462091445923,
0.11776295304298401... |
You will be given a definition of a task first, then some input of the task.
Two analogies that relate places/locations to the associated travel mode is given in the form "A : B. C : ?". "A : B" relates place A to travel mode B. Your task is to replace the question mark (?) with the appropriate travel mode for the give... | hearse | 1 | NIv2 | task1154_bard_analogical_reasoning_travel | zs_opt | [
0.28225740790367126,
0.06053490191698074,
-0.6641004085540771,
0.36813896894454956,
-0.6427335739135742,
0.18603652715682983,
1.03980553150177,
0.5801771283149719,
0.22864457964897156,
-0.16409535706043243,
-0.01098540797829628,
-0.22300994396209717,
0.8844481706619263,
0.21292823553085327... |
Detailed Instructions: A text is given in Gujarati. Translate it from the Gujarati language to the Malayalam language. The translation must not omit or add information to the original sentence.
Problem:- നോട്ട് അസാാധുവാക്കലിനു തൊട്ടു മുമ്പത്തെ രണ്ട് വര്ഷം വരുമാന നികുതി പിരിവിലെ വളര്ച്ച 6.
Solution: | વિમુદ્રીકરણ પૂર્વેનાં બે વર્ષમાં કરવેરાની આવકમાં વૃદ્ધિ અનુક્રમે 6. 6 ટકા અને ટકા હતી. | 8 | NIv2 | task1042_pib_translation_malayalam_gujarati | zs_opt | [
0.0002037610101979226,
0.6428667902946472,
0.4881429970264435,
0.08660021424293518,
-0.7952069640159607,
-0.8951148390769958,
-0.6192669868469238,
0.5592978000640869,
0.08439366519451141,
-0.4521384835243225,
-0.46843382716178894,
-0.26326844096183777,
-1.6190592050552368,
-0.0072570675984... |
Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Portugese.
Input: そしてこれは私にとってひらめきだったのです
Output: | Isto, para mim, foi uma inspiração. | 3 | NIv2 | task1099_ted_translation_ja_pt | zs_opt | [
0.08184666931629181,
0.8042477369308472,
-0.16476412117481232,
0.5431787967681885,
-0.38454383611679077,
-0.6937443614006042,
-0.37572383880615234,
0.5149652361869812,
0.6389024257659912,
-0.26859158277511597,
-0.656449556350708,
0.5914259552955627,
-0.5845621824264526,
-0.3283509612083435... |
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.
Q: Comment: Oh piffle Larsie,
What the fun in own... | Threat | 4 | NIv2 | task322_jigsaw_classification_threat | zs_opt | [
-0.5926948189735413,
1.2418856620788574,
0.7097572088241577,
0.11764059215784073,
0.3640650510787964,
-0.46821683645248413,
1.4806618690490723,
0.6056756377220154,
0.40221673250198364,
0.3842979967594147,
-0.16268062591552734,
-0.042998265475034714,
-0.8872756958007812,
-0.6049211621284485... |
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_) and their corresponding answer. The sentence pair should look similar, and should be about two related but different objects; for example "trophy" and "suitcase". Additionally, the two sentences must b... | Sentence 1: She put the present in a gift bag because she was too lazy to wrap the _ .
Answer1: present.
Sentence 2: She put the present in a gift bag because she was too lazy and used the _ .
Answer2: gift bag.
| 5 | NIv2 | task029_winogrande_full_object | fs_opt | [
0.45517387986183167,
0.31628841161727905,
0.02287779189646244,
-0.1824684739112854,
0.7363370656967163,
-0.6448007822036743,
0.5598412752151489,
1.205213189125061,
-0.6586853861808777,
-0.37934610247612,
-0.37307286262512207,
-0.04902849346399307,
-0.645982027053833,
0.021900897845625877,
... |
Given the task definition, example input & output, solve the new input case.
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 | task1200_atomic_classification_xeffect | fs_opt | [
0.5523126721382141,
0.15303510427474976,
0.11808623373508453,
-0.16899645328521729,
-0.399623304605484,
-0.7237869501113892,
1.1635140180587769,
0.7494565844535828,
-0.5684139728546143,
-0.4569703936576843,
-0.3206474184989929,
-0.2467430979013443,
-0.5631471872329712,
-0.0948585718870163,... |
Part 1. Definition
Given a premise, an initial context, an original ending, and a counterfactual context, the task is to generate a new story ending aligned with the counterfactual context and as close to the original ending as possible. Each instance consists of a five-sentence story. The premise is the first sentence... | One fell on her. The girl became upset. The girl then went home. | 7 | NIv2 | task269_csrg_counterfactual_story_generation | fs_opt | [
0.8772690296173096,
0.2472621649503708,
-0.36090898513793945,
0.23806481063365936,
0.5419001579284668,
-1.3387624025344849,
0.15354371070861816,
1.0695140361785889,
-0.1945360153913498,
0.17182594537734985,
-0.3347444534301758,
0.009581107646226883,
-0.1509125977754593,
0.47919678688049316... |
TASK DEFINITION: You will be given a context, a subject and a relation. Your task is to generate a question based on the subject and relation. The generated question should include the given subject. Try to use a minimum number of words that are not present in either context, subject or relation while generating questi... | What is the name of the place where The Blue Boy can be found?
| 8 | NIv2 | task1325_qa_zre_question_generation_on_subject_relation | fs_opt | [
0.23508355021476746,
0.38865774869918823,
-0.24604544043540955,
-0.2401307225227356,
-0.28844624757766724,
0.4664521813392639,
0.4925902485847473,
0.49735599756240845,
0.24805143475532532,
0.09638692438602448,
-0.15563936531543732,
0.6808153390884399,
0.1825486570596695,
0.1492551267147064... |
Given the task definition and input, reply with output. You are given a sentence in English. Your job is to translate the English sentence into Japanese.
We are going to build smart cars, but we also need to build smart roads, smart parking, smart public transportation systems and more.
| 我々はスマートカーを構想していますがそれだけではなく賢い道路や駐車場賢い公共交通システムを構築する必要があるのです | 5 | NIv2 | task1218_ted_translation_en_ja | zs_opt | [
-0.7784391641616821,
0.26513779163360596,
1.0234637260437012,
-0.042120300233364105,
-0.06904950737953186,
-0.070949487388134,
0.12048949301242828,
-0.09130077064037323,
0.37587231397628784,
-0.05926674231886864,
0.09828610718250275,
0.518649160861969,
0.23212724924087524,
-0.2560443878173... |
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 are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
I have bought several of the Vitality ca... | Positive | 0 | NIv2 | task586_amazonfood_polarity_classification | fs_opt | [
-0.5298224687576294,
0.0029352179262787104,
-0.04677475243806839,
0.09023195505142212,
-0.03964698314666748,
0.19194647669792175,
0.8201895356178284,
0.7423334121704102,
0.11001463234424591,
-0.00163711654022336,
-0.010068538598716259,
-0.10622018575668335,
-0.6163008213043213,
-0.05473003... |
instruction:
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 t... | If you want to wash your clothes then you should transfer some washing wet .
| 9 | NIv2 | task413_mickey_en_sentence_perturbation_generation | fs_opt | [
-0.3579147458076477,
0.9919466376304626,
-0.18937520682811737,
-0.738181471824646,
-0.169094517827034,
-0.831633985042572,
0.19793297350406647,
0.7772121429443359,
0.0559169240295887,
-0.04452689364552498,
-0.8545218110084534,
-0.25441044569015503,
-0.5318742990493774,
0.24899843335151672,... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
Miren el mundo.
Guardate il mondo.
Así, cuando los delfines están separados menos de 20 metros menos de la mitad de las veces necesitan silbar,
Dunque, quando i delfini sono a una distanza inferiore ai 20 metri hanno biso... | un indice che viene misurato con il Test di Lettura dello Sguardo,
| 0 | NIv2 | task1101_ted_translation_es_it | fs_opt | [
-1.1319139003753662,
0.6683850884437561,
-0.5698769092559814,
-0.41408610343933105,
-0.2637656629085541,
0.4976848363876343,
-0.0429193377494812,
-0.10406272113323212,
-0.1263510137796402,
-0.6440861821174622,
-0.3851070702075958,
-0.4532260000705719,
-0.768858790397644,
0.8455897569656372... |
Detailed Instructions: You will be given two pieces of text with the same meaning. One of them is simpler and easier to understand for non-native English speakers. Complex texts may contain more difficult words, have unnecessary phrases or contain long sentences. Your task is to choose the simpler piece of text. You ar... | Text one | 8 | NIv2 | task112_asset_simple_sentence_identification | zs_opt | [
-0.22614945471286774,
-0.38100665807724,
-0.28225788474082947,
0.15154170989990234,
-0.10361981391906738,
-0.020610349252820015,
0.7924124002456665,
0.7284922003746033,
0.5196979641914368,
0.35533997416496277,
-0.20446041226387024,
0.5708785653114319,
-0.3326808214187622,
-0.14808492362499... |
Teacher:You are given a question or fill-in-the-blank question, two answer options (Option1 and Option2) and an Explanation. Your task is to find the correct answer (return the string of the correct option, not option1/2) for the given question from the given options and using explanation.
Teacher: Now, understand the ... | increased | 6 | NIv2 | task178_quartz_question_answering | zs_opt | [
-0.49593621492385864,
0.3178376853466034,
-0.01775505766272545,
-0.3912864923477173,
-0.4936359226703644,
-0.45788562297821045,
0.6794531345367432,
1.1239979267120361,
0.1136379987001419,
-0.20861297845840454,
-0.6384409666061401,
-0.4885222315788269,
-0.369211882352829,
-0.270426869392395... |
In this task, you're given four sentences of a story written in natural language. The given story is not complete and your job is to complete the story by selecting one of the sentence choices from (A) and (B), such that the story sounds fully coherent.
Example input: Sentence1: Rick grew up in a troubled household. S... | A | 3 | NIv2 | task296_storycloze_correct_end_classification | fs_opt | [
-0.08027330040931702,
0.5837734341621399,
-0.3443254232406616,
0.034324269741773605,
0.07162041962146759,
-0.3977106213569641,
0.05002136528491974,
0.5941119194030762,
-0.2686110734939575,
0.034683115780353546,
-0.3307890295982361,
-0.4057214856147766,
-0.07545804977416992,
-0.172473818063... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
Q: Ci conduce veramente ad un singolo antenato che esisteva circa 20-25,000 anni fa?
A: | Lévanos realmente a un único antepasado de hai uns 20 ou 25 000 anos? | 9 | NIv2 | task1252_ted_translation_it_gl | zs_opt | [
-0.8582433462142944,
0.9586964845657349,
-0.30935055017471313,
0.12556642293930054,
-0.6235489249229431,
-1.359337568283081,
-0.4303615987300873,
1.3276348114013672,
-1.1394007205963135,
-0.02945607900619507,
0.07133971899747849,
0.8829585909843445,
-1.9322093725204468,
0.1638089418411255,... |
You will be given a definition of a task first, then some input of the task.
You will be asked how to do a certain task. You should describe a physical process that does not lead to the asked outcome, yet it is closely related to it (i.e., it should use the words that are provided in the input). The physical process ca... | Keep plastic ties on the stems. Cut bananas off as needed. | 1 | NIv2 | task081_piqa_wrong_answer_generation | zs_opt | [
0.05907394737005234,
1.0291321277618408,
-0.34640973806381226,
0.524581789970398,
-0.24045217037200928,
-0.5091395378112793,
0.29851123690605164,
0.45367205142974854,
-0.21576149761676788,
0.46110498905181885,
-0.24940548837184906,
0.16492179036140442,
0.054450348019599915,
-0.194272756576... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Polish.
[Q]: Por quê? A qualidade do ar foi a razão pela qual usaram gás natural e deixaram o diesel.
[A]: Dlaczego? Mając na uwadze czystość powietrza zrezygnowali z diesela i przerzucili się na gaz ziemny.
[Q]: Obviamente... | Alzheimer dotyka obecnie 40 mln ludzi na całym świecie.
| 5 | NIv2 | task1281_ted_translation_pt_pl | fs_opt | [
-0.630046546459198,
0.7704869508743286,
-0.07815159857273102,
-1.273026466369629,
-0.6684753894805908,
-0.5015426278114319,
0.9561175107955933,
-0.29304733872413635,
0.9200767278671265,
0.0396052822470665,
-0.5100228786468506,
0.7166736125946045,
-0.6523820161819458,
0.19487017393112183,
... |
TASK DEFINITION: You are given a sentence in English. Your job is to translate the English sentence into Portugese.
PROBLEM: As it went off, I took off and safely got to the other side.
SOLUTION: Quando ele soou, comecei a travessia e cheguei a salvo ao outro lado.
PROBLEM: But perhaps it's also telling us that we sh... | Mas isto não parou Diane von Furstenberg.
| 8 | NIv2 | task1094_ted_translation_en_pt | fs_opt | [
0.5511500239372253,
0.675737738609314,
0.12625056505203247,
-0.29305925965309143,
-0.5204743146896362,
0.05913367494940758,
0.07748813182115555,
1.012817144393921,
0.2227305769920349,
0.2164859026670456,
-0.5510292053222656,
0.17920705676078796,
-0.884053111076355,
-0.5844867825508118,
0... |
Indicate the presence of numerical data in the abstract (whether numerical data plays a key role in medical records), solely using the information from the abstract.
Abstract: To determine how various inheritance patterns and responses to splenectomy relate to erythrocyte spectrin deficiencies in hereditary spherocyto... | Yes | 0 | NIv2 | task621_ohsumed_yes_no_numerical_answer_generation | zs_opt | [
-0.16457803547382355,
-0.018745047971606255,
-0.5531444549560547,
0.09065242111682892,
0.22491168975830078,
-0.6780145168304443,
0.4316665232181549,
0.8820112943649292,
0.49557065963745117,
0.3261299729347229,
-0.287925660610199,
1.0582454204559326,
-0.5743892788887024,
0.12491697072982788... |
Teacher: 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".
Teacher: Now, understand the problem? If you are still confused, see the following... | Yes | 2 | NIv2 | task314_europarl_sv-en_classification | fs_opt | [
-0.5714613795280457,
0.7937673926353455,
0.9502859711647034,
-0.3228764533996582,
0.04621299356222153,
-0.8300718069076538,
0.4392160177230835,
0.8737758994102478,
0.37210577726364136,
-0.047410089522600174,
0.39971405267715454,
1.2602221965789795,
-0.8678812384605408,
0.000998139963485300... |
In this task you are given a premise and two alternatives in Italian. You must choose the alternative that is more plausibly the cause or effect of the situation described by the premise. The input format is "premise
(1)alternative_1(2)alternative_2", the output should either be "1" or "2" based on your judgment.
La r... | 1 | 0 | NIv2 | task1172_xcopa_commonsense_reasoning_it | zs_opt | [
-0.6369344592094421,
0.9128881096839905,
-0.018964983522892,
0.447914719581604,
-0.6156443357467651,
0.053098443895578384,
0.6297891139984131,
0.6142563819885254,
-0.05748510733246803,
-0.19564330577850342,
-0.39230847358703613,
0.23022475838661194,
0.3282758295536041,
0.19362694025039673,... |
In this task, you are given a sentence in Arabic, and your task is to translate it into English.
Q: مسدس؟
A: | Colt? | 4 | NIv2 | task650_opus100_ar_en_translation | zs_opt | [
0.7174016237258911,
0.9582658410072327,
-0.04483337700366974,
-0.993847131729126,
0.323196679353714,
-0.7174755334854126,
1.0758193731307983,
0.2697320282459259,
0.9512264728546143,
0.733762264251709,
-0.6057826280593872,
-0.17251867055892944,
-0.5949277877807617,
0.36385107040405273,
1.... |
Detailed Instructions: Based on the information present in the given passage, you need to write a correct answer to the given question. A correct answer is one that correctly and completely answers the question. Do not write answers that address the question partially or incorrectly. The correct answer must be containe... | Senor Malaquez. | 9 | NIv2 | task054_multirc_write_correct_answer | zs_opt | [
0.0584210604429245,
0.39788132905960083,
-0.2161114513874054,
-0.41630882024765015,
0.061642661690711975,
-1.3728898763656616,
1.1894652843475342,
0.8462833166122437,
-0.10454174876213074,
-0.07112663239240646,
-0.8418965339660645,
0.7617373466491699,
-0.6873754858970642,
0.399638921022415... |
In this task, you're given an article, a question which often contains a blank, four options (associated with "A", "B", "C", "D") and the answer to that question. Your task is to classify whether the given answer is correct or not by providing "Yes" or "No", based on the article.
Example: Article: Homework can put you ... | Solution: No | 5 | NIv2 | task310_race_classification | fs_opt | [
0.30836647748947144,
0.11752049624919891,
-0.5399450659751892,
-0.23465915024280548,
0.3541598916053772,
-0.172579824924469,
0.7787076830863953,
0.8044429421424866,
-0.05356600135564804,
0.15397420525550842,
-0.14534512162208557,
0.13429643213748932,
0.21947139501571655,
0.2729388475418091... |
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... | A woman is outside. | 3 | NIv2 | task186_snli_contradiction_to_entailment_text_modification | fs_opt | [
-0.36947399377822876,
0.1404513418674469,
0.5175676941871643,
-0.5565406680107117,
0.23231640458106995,
-0.33491644263267517,
0.05690469965338707,
0.672562301158905,
0.7167359590530396,
-0.4938257038593292,
-0.7604326009750366,
-0.9376309514045715,
-1.0451078414916992,
-0.2672845423221588,... |
Given the task definition, example input & output, solve the new input case.
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.
Example: Sentence1: Rick grew u... | Gina let her yell for 20 minutes about the betrayal. | 1 | NIv2 | task105_story_cloze-rocstories_sentence_generation | fs_opt | [
-0.553244411945343,
1.132242202758789,
0.05670565366744995,
-0.612069845199585,
-0.08777552098035812,
-0.04164817929267883,
0.33929741382598877,
0.6579384803771973,
0.27003273367881775,
0.11979066580533981,
-0.20305109024047852,
-0.06070058047771454,
-0.40216174721717834,
-0.26160505414009... |
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.
Let me give you an example: 5 + 3
The answer to this example can be: 2
Here is... | 21350 | 8 | NIv2 | task085_unnatural_addsub_arithmetic | fs_opt | [
0.12558214366436005,
-0.12671208381652832,
-0.6958076357841492,
0.5650007724761963,
0.015327771194279194,
-0.44137388467788696,
0.7262455224990845,
1.5708751678466797,
0.41955429315567017,
-0.25337183475494385,
-0.5680217742919922,
-0.694145917892456,
-0.5177915692329407,
-0.11961787939071... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
One example: "אז," אמרתי, "זה כמו חלום?" והיא אמרה, "" לא, זה לא כמו חלום. זה כמו סרט. "" היא אמרה, "" יש בו צבעים. יש בו תנועה.
Solution is here: Pregunteille: "" É coma un soño? "" E dixo: "" Non, non é coma un soño. É com... | A linguaxe é realmente o trazo máis potente de toda a Evolución.. | 6 | NIv2 | task1110_ted_translation_he_gl | fs_opt | [
-0.522872269153595,
0.8828984498977661,
0.4190185070037842,
-0.7311288714408875,
-0.3830241858959198,
-0.41749268770217896,
0.4994129240512848,
0.3604053854942322,
-0.8070385456085205,
-0.8726589679718018,
-0.06514757126569748,
0.1380075216293335,
-0.9167905449867249,
-0.2869598865509033,
... |
Generate an overlapping word between the given two sentences. When you find the overlapping words, they don't have to match exactly, e.g., "survival" and "survive" are valid overlapping words. Little words like "the" or "of" don't count! You must generate significant words which are not the stop words.
Sentence1: Infa... | rapid | 0 | NIv2 | task039_qasc_find_overlapping_words | zs_opt | [
0.03168869763612747,
1.189032793045044,
0.2334226816892624,
-0.5473915338516235,
-0.4397581219673157,
0.1304093599319458,
0.6151155829429626,
0.520105242729187,
0.21939076483249664,
-0.7993757128715515,
-0.7490230798721313,
-0.05546452850103378,
-1.396639347076416,
0.2624927759170532,
0.... |
Given the task definition and input, reply with output. In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). Perso... | No | 5 | NIv2 | task1203_atomic_classification_xreact | zs_opt | [
0.07966648042201996,
0.19547447562217712,
0.3613531291484833,
-0.11704730987548828,
-0.2963075637817383,
-0.810488224029541,
0.8976572155952454,
0.6428073644638062,
-0.6146203279495239,
-0.4341127872467041,
-0.6068259477615356,
-0.05693065747618675,
-0.7299965620040894,
0.3019723892211914,... |
You are given a sentence, a question and two answer options ('A' and 'B'). Your task is to find the correct answer (return the string of the correct option, not 'A' or 'B') for the given question.
--------
Question: Sentence: A plastic sheet can bend easier then a glass sheet. Question: If Mike bends both sheets, which... | red car
| 7 | NIv2 | task1378_quarel_correct_answer_generation | fs_opt | [
-0.46122241020202637,
0.5752440690994263,
0.09232132136821747,
-0.5539898872375488,
0.0639592856168747,
0.20701628923416138,
0.459885835647583,
1.1850013732910156,
0.5675390958786011,
0.37526968121528625,
-0.8277742862701416,
-0.33887654542922974,
0.45113980770111084,
0.23931089043617249,
... |
Q: In this task you are given a tweet and you must identify whether the tweet contains any offense or any form of (untargeted) profanity. Label the post as NOT if the post does not contain offense or profanity. Non-offensive posts do not include any form of offense or profanity. label the post as OFFENSIVE if the post... | OFFENSIVE | 7 | NIv2 | task286_olid_offense_judgment | zs_opt | [
-1.3322464227676392,
0.6005491018295288,
0.7529947757720947,
0.43709197640419006,
-0.22398075461387634,
-0.7191715836524963,
0.26810210943222046,
0.42336493730545044,
1.0499420166015625,
0.05254421755671501,
0.44363993406295776,
-0.18335646390914917,
-0.17949171364307404,
-0.85848832130432... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese.
Let me give you an example: Mio padre è medico. Ed è stato un grande vantaggio per noi. Si è occupato di lei in modo fantastico.
The answer to this example can be: 父が医師だったので父に担当してもらえるという大きな利点がありました父は母に見事な治療を施しました
Here is ... | 本当の自分正直さ弱さが怖かったその恐怖が ― 私を隅に追い詰めてどこにも行き場がなくなって出口は１つだと思ったこの出口について来る日も来る日も考えていた | 8 | NIv2 | task1248_ted_translation_it_ja | fs_opt | [
0.2851800322532654,
0.2513165771961212,
-0.5358807444572449,
-0.06315705180168152,
-0.18921414017677307,
-0.4647168815135956,
0.26728132367134094,
0.49382299184799194,
0.052786923944950104,
-0.29907381534576416,
-0.7535408735275269,
0.5640953779220581,
-0.7020667791366577,
-0.4232087731361... |
Q: Given a sentence and an entity, the task is to select the authors sentiment towards the enity. Sentiments can be Positive, Neutral and Negative. Select Positive if the sentence expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the sentence expresses no clear view ... | Positive | 7 | NIv2 | task421_persent_sentence_sentiment_classification | zs_opt | [
-0.753480076789856,
-0.12254897505044937,
0.5839054584503174,
0.1836361587047577,
0.009789271280169487,
-1.2716121673583984,
0.9018685817718506,
0.27135056257247925,
0.376065194606781,
0.3016050457954407,
-0.3190716505050659,
-0.2985902726650238,
-0.7529736161231995,
-0.5605964660644531,
... |
Part 1. Definition
This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must be such that the triplets accurately capture the structure and semantics of the input sentence. The inp... | [['House on Haunted Hill', 'DOMESTIC_BOX_OFFICE', '$40,846,082']] | 7 | NIv2 | task1410_dart_relationship_extraction | fs_opt | [
-0.40658652782440186,
0.2584543824195862,
-0.26566803455352783,
-0.3745940625667572,
-0.30293214321136475,
-0.07303042709827423,
0.3645228147506714,
0.3720182180404663,
-0.18226230144500732,
-0.20353753864765167,
-0.22807690501213074,
-0.21394678950309753,
-0.5078819394111633,
-0.046271368... |
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.
In the New York 9th District, there is a ... | census
| 0 | NIv2 | task613_politifact_text_generation | fs_opt | [
0.12392515689134598,
0.37242618203163147,
0.12282930314540863,
-0.48096537590026855,
-0.36218398809432983,
-0.2386675477027893,
0.25554415583610535,
0.19538263976573944,
0.48813217878341675,
0.3738139867782593,
-0.4760221838951111,
0.5882732272148132,
-0.704181432723999,
-0.082802586257457... |
Detailed Instructions: You are shown a conversation between a user and system. Identify who has spoken the indicated sentence based on the conversation.
Problem:Sentence1: How many people and what time would you like me to make your reservation? Sentence2: on tuesday. book and give me the reference number Sentence3: Th... | Answer: (A) User | 8 | NIv2 | task638_multi_woz_classification | zs_opt | [
0.8000842332839966,
0.7828569412231445,
-0.21736779808998108,
-0.16878780722618103,
-0.33582669496536255,
-0.6234861612319946,
0.07018859684467316,
0.7740907669067383,
-0.07144078612327576,
-0.626179575920105,
-0.14104397594928741,
-0.10657618939876556,
-0.8003924489021301,
-0.257729858160... |
In this task you will be given a list of integers. You should find the maximum 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 largest possible absolute distance.
One example is bel... | 178 | 9 | NIv2 | task1446_farthest_integers | fs_opt | [
-0.29117268323898315,
0.39471226930618286,
0.17605328559875488,
-0.3057144582271576,
-0.21611815690994263,
-0.3892475962638855,
0.41210421919822693,
0.18210449814796448,
0.6569361686706543,
-0.15583881735801697,
-0.12020516395568848,
0.016017403453588486,
-0.5180622935295105,
-0.0334398373... |
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. The story has one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not m... | blue_bathtub | 5 | NIv2 | task152_tomqa_find_location_easy_noise | zs_opt | [
-0.4258488714694977,
0.3449143171310425,
-0.3340134620666504,
-0.5431010723114014,
-0.5352707505226135,
0.2690010070800781,
0.4188522398471832,
0.17714664340019226,
0.33210939168930054,
-0.617732048034668,
-0.3915087580680847,
0.5176131725311279,
-0.019160129129886627,
-0.00234602810814976... |
Teacher:In this task, you need to replace a letter in the sentence with another given letter.
Teacher: Now, understand the problem? Solve this instance: Sentence: 'a black bear walking next to a moss covered rock'. Replace the letter 'b' with 'u' in the sentence.
Student: | a ulack uear walking next to a moss covered rock | 6 | NIv2 | task160_replace_letter_in_a_sentence | zs_opt | [
-0.21605804562568665,
0.3343563675880432,
-0.7542999982833862,
-0.6018104553222656,
-0.09617139399051666,
-0.34449851512908936,
-0.16296663880348206,
0.9955190420150757,
0.6690590381622314,
0.10470390319824219,
0.5863140821456909,
-0.02826029062271118,
-0.04919275641441345,
-0.635444760322... |
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 provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are fine labels that represent a cat... | NN | 0 | NIv2 | task584_udeps_eng_fine_pos_tagging | fs_opt | [
-0.052698537707328796,
0.37860843539237976,
-0.1303405612707138,
0.12210915982723236,
-0.16087274253368378,
-0.4664837718009949,
0.8272290229797363,
1.1308298110961914,
-0.4960658550262451,
-0.35188406705856323,
-0.20463497936725616,
0.28812891244888306,
-0.14669132232666016,
0.20765869319... |
You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
Q: how popular is Bloodbrothers?
A: unknown
****
Q: which words describe movie Dog Pound?
A: violence, prison
****
Q: who wrote the movie... | William Shakespeare, Julie Taymor
****
| 4 | NIv2 | task615_moviesqa_answer_generation | fs_opt | [
-0.038299042731523514,
0.5287158489227295,
-0.7698680758476257,
0.6649724841117859,
-0.6297532916069031,
-1.0074119567871094,
0.9456724524497986,
-0.44379380345344543,
0.6472621560096741,
-0.08799940347671509,
-0.3300839066505432,
0.22031760215759277,
-0.917406439781189,
0.0582252852618694... |
Definition: You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
Input: Pytanie do Agnes de Mille.
Output: | Era a Agnes de Mille. | 2 | NIv2 | task1262_ted_translation_pl_it | zs_opt | [
-0.7812820672988892,
0.6757460832595825,
-0.36469441652297974,
0.25696641206741333,
-0.5302141904830933,
-1.0175871849060059,
0.34534209966659546,
-0.06243737041950226,
0.06969644129276276,
0.1812984049320221,
-0.5743781328201294,
0.03566501662135124,
-0.3087373375892639,
0.720629751682281... |
Given the task definition and input, reply with output. 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 questio... | Option B | 5 | NIv2 | task750_aqua_multiple_choice_answering | zs_opt | [
0.2885552644729614,
0.73813796043396,
-0.22919350862503052,
0.13443991541862488,
0.024456605315208435,
0.1461491584777832,
0.5335528254508972,
0.5922286510467529,
0.04734765365719795,
-0.3124008774757385,
-0.6888842582702637,
-0.1124250516295433,
-0.12021161615848541,
-0.46564772725105286,... |
Q: In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to concatenate all elements of A from the ith element to the jth element, and print the resultant string. i and j will be non-negative, and will always have a value less than the length of A. i will always be less tha... | 8756907FGSk366373032689 | 7 | NIv2 | task100_concatenate_all_elements_from_index_i_to_j | zs_opt | [
-0.6456759572029114,
0.5022232532501221,
-0.08116262406110764,
-0.7758315205574036,
0.03811345249414444,
-0.44030579924583435,
0.18409578502178192,
-0.6884260773658752,
-0.2411676049232483,
0.31578952074050903,
-0.7189712524414062,
0.3955046534538269,
0.16015185415744781,
-0.15821942687034... |
In this task, you will be shown a conversation and a question. You need to write an implausible answer to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. "W" and "M" in the conversations stand for "woman" and "man".
Example input: M: I am considering dropping my dancin... | To tell him how to prepare the party. | 3 | NIv2 | task283_dream_incorrect_answer_generation | fs_opt | [
-0.2231503278017044,
-0.01207876205444336,
0.21881361305713654,
-0.27326297760009766,
-0.2048037052154541,
-0.46878308057785034,
0.549942135810852,
0.11516990512609482,
0.4679012894630432,
0.18377000093460083,
-0.5156088471412659,
-0.10655747354030609,
0.03833489120006561,
-0.1806377768516... |
Teacher: In this task, you are given a sentence in Persian, and your task is to translate it into English.
Teacher: Now, understand the problem? If you are still confused, see the following example:
۵۲٪ از کاربران رایانه دارای دانش رایانهای هستند.
Solution: 52% of computer users are Internet literate.
Reason: This is ... | 60% of survey respondents say local representatives have never asked for their opinions, while 90% say they wish their voices were heard. | 2 | NIv2 | task662_global_voices_fa_en_translation | fs_opt | [
-1.0249462127685547,
0.5849215984344482,
0.03181574493646622,
-0.3035218119621277,
-0.43968653678894043,
-0.5167648196220398,
1.0119004249572754,
0.44633644819259644,
0.8668159246444702,
0.38291579484939575,
0.08783083409070969,
0.6371437907218933,
-0.707746148109436,
-0.009233612567186356... |
Given the task definition and input, reply with output. In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: identity-attack and non-identity-attack. Identity attack refers to anything rude or disrespectful about someone's identity, including app... | Identity-attack | 5 | NIv2 | task325_jigsaw_classification_identity_attack | zs_opt | [
-0.9702024459838867,
0.975803017616272,
0.39166927337646484,
0.21947792172431946,
-0.5979780554771423,
0.304747998714447,
0.7172094583511353,
-0.08070345968008041,
0.4700138568878174,
0.3134850859642029,
-0.3146302402019501,
-0.06404834985733032,
-0.5913814902305603,
-0.44715338945388794,
... |
Teacher:You are given a sentence in Persian. Your job is to translate the Farsi sentence into Galician.
Teacher: Now, understand the problem? Solve this instance: جایی بسیار دورافتاده ، خشک و بسیار زیبا است
Student: | É un lugar moi afastado, moi seco e moi fermoso. | 6 | NIv2 | task1270_ted_translation_fa_gl | zs_opt | [
-0.6897844076156616,
1.126563549041748,
0.07026559114456177,
-1.4777203798294067,
-0.72134929895401,
-1.0131535530090332,
0.3514367938041687,
0.7200843095779419,
-0.21153484284877777,
0.1886700987815857,
-0.20462080836296082,
0.22546744346618652,
-0.6235785484313965,
-0.2545279264450073,
... |
In this task you will be given a list of integers. For every element in the list, if the element is positive you should multiply it by 2. If the element is negative you should multiply it by -3. The output should be a list of integers that is the result of applying that logic to the input list.
Note: A list is presen... | [108, 160, 231, 204, 243, 18, 48, 39, 4]
| 0 | NIv2 | task374_synthetic_pos_or_neg_calculation | fs_opt | [
-0.7039831876754761,
0.05928990989923477,
-0.10037286579608917,
-0.08882403373718262,
0.19161778688430786,
0.13553938269615173,
0.6242581605911255,
0.3741822838783264,
-0.5393063426017761,
0.3674207627773285,
-0.7783100008964539,
-0.0634748637676239,
-0.3079568147659302,
-0.326336920261383... |
In this task, you are given a sentence with a missing word that can be an object, a person, and/or an action. Fill in the blank with a plausible word. Although each sentence has many correct answers, you only have to write one answer.
Q: PersonX binds the ___ together
A: | ropes | 4 | NIv2 | task1217_atomic_answer_generation | zs_opt | [
0.1464119851589203,
1.234975814819336,
-0.21363259851932526,
-0.7621119022369385,
-0.6899734735488892,
-0.01310594193637371,
1.4999908208847046,
0.7493185997009277,
-0.34703367948532104,
-0.7113214731216431,
-0.5379624366760254,
-0.6767352819442749,
-0.40032869577407837,
0.2103408426046371... |
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, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.
Sentence1: 'a red bus goes down the street beside a yellow building', Sentence2: 'the c... | No | 0 | NIv2 | task159_check_frequency_of_words_in_sentence_pair | fs_opt | [
-1.1961687803268433,
0.3991529047489166,
-0.30459436774253845,
0.23170365393161774,
0.2022312581539154,
-0.4250752329826355,
0.5332066416740417,
1.1626523733139038,
0.20964384078979492,
0.07328060269355774,
-0.40740692615509033,
-0.013692867010831833,
0.35107290744781494,
0.114716738462448... |
Definition: In this task, you're expected to write answers to questions involving multiple references to the same entity. The answer to the question should be unambiguous and a phrase in the paragraph. Most questions can have only one correct answer.
Input: Passage: At the beginning of December 1910 Smoller, using the ... | Peter the Painter. | 2 | NIv2 | task002_quoref_answer_generation | zs_opt | [
0.9382046461105347,
0.27522820234298706,
-0.8204208016395569,
0.4244541525840759,
0.35138559341430664,
-0.8169928789138794,
0.31895411014556885,
0.6051388382911682,
-0.005300580523908138,
0.07780671119689941,
-0.8175491094589233,
0.751032829284668,
-0.5959937572479248,
-0.09858997911214828... |
You will be given a text in the Russian language, and you should classify the given input text to one of the emotion labels from this list of emotion labels- ['joy', 'sadness', 'surprise', 'fear', 'anger']. Make sure your output label (i) is strictly present in the given list of emotion labels. (ii) is unambiguous.
One... | fear | 6 | NIv2 | task1662_cedr_ru_classification | fs_opt | [
-0.40577757358551025,
0.1548468917608261,
-0.24722616374492645,
-0.17846693098545074,
-0.4065011143684387,
-0.30194512009620667,
0.9279308319091797,
0.9633079767227173,
0.21729356050491333,
0.0814717635512352,
-0.525038480758667,
0.3312954008579254,
0.2326146364212036,
0.4394936263561249,
... |
Detailed Instructions: In this task, you are given a context paragraph of the tweet and question. Your task is to generate right answer of given question based on given context tweet paragraph.
See one example below:
Problem: Context: Our prayers are with the students, educators & families at Independence High School &... | louis57tm | 4 | NIv2 | task239_tweetqa_answer_generation | fs_opt | [
0.5425702929496765,
0.6589529514312744,
0.09568008780479431,
-0.12414517998695374,
0.1593218892812729,
-0.8103655576705933,
0.5725022554397583,
0.19190222024917603,
0.09934137016534805,
-0.17910093069076538,
-0.4359003007411957,
-0.2801094055175781,
-0.1328279674053192,
-0.3156328201293945... |
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... | group of people rummaging through shelf of books
| 0 | NIv2 | task189_snli_neutral_to_contradiction_text_modification | fs_opt | [
-0.23288749158382416,
0.5243067145347595,
-0.18220731616020203,
-1.0304192304611206,
-0.15042108297348022,
0.020031705498695374,
0.016793107613921165,
0.46366938948631287,
0.44501063227653503,
-0.009015669114887714,
-0.9226479530334473,
-0.4180346727371216,
-0.13468226790428162,
-0.1389275... |
Teacher:You are given a sentence in Galician. Your job is to translate the Galician sentence into Farsi.
Teacher: Now, understand the problem? Solve this instance: Saben? A tecnoloxía non o é todo.
Student: | می دانید ، فن آوری همیشه این نیست. | 6 | NIv2 | task1245_ted_translation_gl_fa | zs_opt | [
-0.4590075612068176,
0.9898641705513,
-0.07073388248682022,
-0.9126347303390503,
-0.3499355912208557,
-0.7041209936141968,
0.18504813313484192,
0.8375198245048523,
0.03802039474248886,
0.0853545144200325,
-0.09474024176597595,
0.3243198096752167,
-0.22185152769088745,
-0.13667213916778564,... |
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 optio... | Option C | 6 | NIv2 | task750_aqua_multiple_choice_answering | zs_opt | [
0.1919635534286499,
-0.14086562395095825,
-0.6056296825408936,
0.04963557422161102,
0.3332674503326416,
0.32582539319992065,
0.4374764859676361,
0.6980777978897095,
0.10715697705745697,
-0.055867165327072144,
-0.7625060081481934,
-0.18520702421665192,
-0.30476027727127075,
-0.5348312854766... |
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 context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or t... | intrigued | 0 | NIv2 | task293_storycommonsense_emotion_text_generation | fs_opt | [
0.3080716133117676,
0.1567499041557312,
-0.12277019023895264,
-0.2516721487045288,
0.37819433212280273,
-0.06277669966220856,
1.1785521507263184,
0.3851892054080963,
-0.10142605006694794,
-0.1889057755470276,
0.09004583209753036,
-0.5037933588027954,
-0.6071200370788574,
0.3309405148029327... |
Teacher: Given a statement about date and time, state whether the statement is true or false. The number of date/time operands in the statement ranges between 2 and 3. Let's say the values are denoted by t1, t2 and t3. The statements follow one of the following ten templates: 't1 occurs before t2, t1 doesn't occur befo... | True | 2 | NIv2 | task1507_boolean_temporal_reasoning | fs_opt | [
0.3838634788990021,
-0.31233343482017517,
-0.3487621545791626,
0.38983064889907837,
-0.14895617961883545,
-0.19055737555027008,
-0.5165903568267822,
0.943831205368042,
-0.6220554113388062,
-0.00277339038439095,
-0.3550799489021301,
-0.4493511915206909,
-0.38942790031433105,
-0.598669409751... |
Q: In this task you are given a sentence pair from wikipedia that have high lexical overlap. If the sentences have the same meaning and are just paraphrases of each other label them as "Paraphrase" , if not label them as "Not paraphrase". The two sentences are seperated by a new line.
Pedro Luís Neves is a Portuguese m... | Paraphrase | 7 | NIv2 | task400_paws_paraphrase_classification | zs_opt | [
-1.3745492696762085,
0.7758246660232544,
-0.26573076844215393,
-0.3244057297706604,
-0.33937180042266846,
0.578163743019104,
0.838651180267334,
0.3364408016204834,
0.20876577496528625,
-0.5473963618278503,
-0.5682375431060791,
0.1989414095878601,
-0.8459377288818359,
0.3857444226741791,
... |
In this task, you are given a sentence in English and your task is to translate it into Spanish. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
--------
Question: The Commission report is essentially a descriptive report detailing the development of state... | El segundo punto se refiere al reinicio de las negociaciones entre Siria e Israel.
| 7 | NIv2 | task530_europarl_en_es_translation | fs_opt | [
0.03600773960351944,
0.5414526462554932,
-0.7183358669281006,
-0.44644612073898315,
0.051834240555763245,
-0.35007184743881226,
0.7730947732925415,
1.0036180019378662,
-0.43425312638282776,
0.4875616431236267,
-0.9923305511474609,
0.2965649962425232,
-0.39815330505371094,
0.031827315688133... |
Definition: Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast', 'biology', 'people', 'influence', 'baseball', 'spaceflight', 'm... | tv | 2 | NIv2 | task900_freebase_qa_category_classification | zs_opt | [
0.429873526096344,
0.23416797816753387,
-0.21922436356544495,
-0.45497357845306396,
0.40736398100852966,
-0.6490716338157654,
-0.08219560235738754,
0.5380915403366089,
-0.02700714021921158,
-0.4047820568084717,
0.048801567405462265,
-0.07597115635871887,
-0.250674307346344,
-0.209776312112... |
Q: 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.
[-72, -29, 7, ... | 1 | 7 | NIv2 | task1445_closest_integers | zs_opt | [
-0.5714294910430908,
0.5300575494766235,
0.24970224499702454,
-0.2563353180885315,
-0.06116027384996414,
-0.7091249227523804,
0.812893807888031,
0.29345619678497314,
0.5846335887908936,
-0.18877442181110382,
-0.35355085134506226,
-0.3242722153663635,
-0.5783294439315796,
0.1166311576962471... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Farsi.
Q: que aos países máis desiguais vailles peor neste tipo de problemas sociais.
A: | بیشتر کشورهای نابرابر در شرایط بدتری هستند در همه این دسته از معظلات اجتماعی. | 4 | NIv2 | task1245_ted_translation_gl_fa | zs_opt | [
-0.3599179983139038,
0.9947068691253662,
0.3646073341369629,
-1.0359843969345093,
-0.26990383863449097,
0.3371977210044861,
0.4609687030315399,
0.6305224895477295,
-0.3828350901603699,
0.6910698413848877,
-1.124342918395996,
0.1216055229306221,
-0.5499918460845947,
0.6084029674530029,
0.... |
TASK DEFINITION: Given a sentence, generate what should be the most likely next statement. The next statement should be reasonable and logically correct.
PROBLEM: The boy is doing home work and stands on the tractor. We
SOLUTION: see a game screen and toy tractor.
PROBLEM: A basketball player practice shooting the ba... | ties the back hair up.
| 8 | NIv2 | task453_swag_answer_generation | fs_opt | [
0.0052596889436244965,
0.5858452320098877,
-0.9081076383590698,
0.28677815198898315,
0.047487638890743256,
0.13367818295955658,
0.45534607768058777,
0.5270747542381287,
0.20630311965942383,
-0.24799294769763947,
-0.39223676919937134,
0.4986363649368286,
-0.17037621140480042,
-0.25558322668... |
In this task you will be given a claim and a perspective. You should determine whether that perspective supports or undermines the claim. If the perspective could possibly convince someone with different view, it is supporting, otherwise it is undermining.
[Q]: claim: University education should be free.
perspective:... | undermine
| 5 | NIv2 | task738_perspectrum_classification | fs_opt | [
-0.35091662406921387,
0.569219708442688,
0.39525938034057617,
-0.8593493103981018,
0.19431963562965393,
-0.6347639560699463,
0.768541693687439,
0.6230655908584595,
0.32495713233947754,
0.203077033162117,
-0.10218765586614609,
-0.5028537511825562,
-0.40434110164642334,
-0.000159731600433588... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Farsi.
Let me give you an example: وقد كتبن اللغة وغالبا ما كانت لغة آلة وأحيانا شفرة ثنائية ترسل بعدها بالبريد لمركز البيانات لتنقل على شريط أو بطاقة ورقية مثقبة ثم تعاد الكرة مرة أخرى للتأكد.
The answer to this example can be: و آن... | اما دلیلی که همه ساکت بودند چیزی هست كه من اسمش رو مانع رواني ترس مي گذارم. | 8 | NIv2 | task1108_ted_translation_ar_fa | fs_opt | [
-0.1796330064535141,
0.16822028160095215,
-0.4354293942451477,
-0.6028225421905518,
-0.06884691119194031,
-0.0030584600754082203,
0.9536118507385254,
-0.34872183203697205,
0.17500877380371094,
-0.2612215578556061,
-0.845690131187439,
0.11331748962402344,
-0.5136182308197021,
0.133130580186... |
You will be given a definition of a task first, then some input of the task.
Based on the given context, craft a common-sense question, especially those that are LONG, INTERESTING, and COMPLEX. The goal is to write questions that are easy for humans and hard for AI machines! To create such questions, here are some sugg... | Why is the narrator being pressured to avoid their trip ? | 1 | NIv2 | task023_cosmosqa_question_generation | zs_opt | [
0.5136864185333252,
0.024280700832605362,
0.010215654037892818,
0.24795955419540405,
0.6101628541946411,
-0.1358136087656021,
0.8493910431861877,
0.9524906873703003,
-0.21411049365997314,
0.03281836584210396,
-0.4424455165863037,
0.5500153303146362,
-0.2395843267440796,
0.2436245232820511,... |
In this task, you are given a text of article and corresponding title of an article. Your task is to generate label "yes" if headline (title) is right for article, otherwise generate "no".
Q: Article: uganda 's rebel lord 's resistance army on friday rejected claims it had launched deadly attacks in southern sudan , as... | yes | 4 | NIv2 | task289_gigaword_summarization | zs_opt | [
-0.9306188821792603,
0.9086419939994812,
-0.09739366918802261,
-0.5093735456466675,
-0.23411227762699127,
-1.2433667182922363,
1.2170658111572266,
0.6812962889671326,
-0.41281670331954956,
-0.19788485765457153,
-0.4954225420951843,
-0.08996519446372986,
-1.2107510566711426,
0.3005663156509... |
Teacher:Generate a correct and concise answer for the question based on the words in the context.
Teacher: Now, understand the problem? Solve this instance: Context : Andrés Gimeno Tolaguera (born 3 August 1937 in Barcelona, Spain) is a retired Spanish tennis player.
Question : What city is Andrés Gimeno from?
Student... | Barcelona | 6 | NIv2 | task1327_qa_zre_answer_generation_from_question | zs_opt | [
-0.838184118270874,
0.6408523321151733,
-0.16311268508434296,
0.1630888283252716,
0.15010668337345123,
-0.9139230251312256,
-0.2294851541519165,
0.6536943912506104,
0.1421373188495636,
-0.4249289631843567,
-0.06657007336616516,
1.153529167175293,
-1.5382907390594482,
-0.27980509400367737,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Finnish Language. Please bear in mind the following guidelines while doin... | "Kun ratkaiseva hetki saapuu, ja sen täytyy saapua, niin minä sanon sinulle, kuinka sinun on menetteleminen. | 0 | NIv2 | task1650_opus_books_en-fi_translation | fs_opt | [
0.09118245542049408,
0.6388457417488098,
-0.066645547747612,
-0.27633270621299744,
0.11955147981643677,
-0.6663396954536438,
1.3702741861343384,
0.46143683791160583,
-0.22228628396987915,
-0.07987450063228607,
0.0045006973668932915,
0.9779562950134277,
-0.9674167037010193,
0.66296565532684... |
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 and their positions in the s... | 4a, 2b
| 7 | NIv2 | task222_rocstories_two_chioce_slotting_classification | fs_opt | [
-0.31056973338127136,
-0.0982687771320343,
0.08178332448005676,
0.48713529109954834,
0.009110706858336926,
-0.22230824828147888,
0.15883341431617737,
1.241405725479126,
-0.5071030855178833,
0.04609549418091774,
-0.4095546007156372,
-0.0458078496158123,
0.5637572407722473,
-0.28013378381729... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.