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 |
|---|---|---|---|---|---|---|
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
[Q]: O que nos dá liberdade para fazermos outras coisas, tais como: — Sentarmo-nos nos TED meetings e não termos que nos preocupar com a nossa comida.
[A]: il che ci permette di fare altro di partecipare alle riunion... | E 'un'anomalia, è un punto in cui il sistema si scontra con quel che siamo in quanto persone.
| 5 | NIv2 | task1280_ted_translation_pt_it | fs_opt | [
-0.13465198874473572,
0.8053493499755859,
-0.4633828401565552,
-0.012146180495619774,
-0.13325269520282745,
-0.4439510107040405,
0.32559412717819214,
0.8508414030075073,
0.5527034997940063,
-0.3859485685825348,
-0.33877766132354736,
-0.09906317293643951,
-0.3646489381790161,
0.375592619180... |
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 the character. Your task is to return one of the emotions which are expressed by the Character in the given sentence. For ... | intrigued
| 5 | NIv2 | task293_storycommonsense_emotion_text_generation | fs_opt | [
0.7485768795013428,
0.2898007929325104,
-0.5929114818572998,
-0.25351661443710327,
-0.16314604878425598,
-0.2711035907268524,
1.086963176727295,
0.8508850336074829,
-0.5079443454742432,
-0.18886029720306396,
-0.06020611152052879,
-0.06189771741628647,
-0.1517726480960846,
-0.30147129297256... |
Given the task definition and input, reply with output. You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
Bueno, de hecho hay seis de ellas. Existen dos formas de estar orientado al presente.
| Właściwie jest ich sześć. Istnieją dwa sposoby zorientowania na teraźniejszość. | 5 | NIv2 | task1102_ted_translation_es_pl | zs_opt | [
-0.33088022470474243,
0.8604568243026733,
0.4988783895969391,
-0.03150631859898567,
-0.23863506317138672,
-0.012105725705623627,
0.8723472356796265,
-0.1939581036567688,
0.33942532539367676,
-0.3888917863368988,
-0.3297349810600281,
0.6124724745750427,
-0.4430392384529114,
0.01047300733625... |
In this task, you have to identify the named entities (NER) which are the ingredients required given its directions. Named entities are the names of the items without their quantity.
One example is below.
Q: Preheat oven to 375 degrees., Boil syrup, sugar and shortening over medium heat, stirring constantly., Remove fr... | mashed sweet potatoes, eggs, butter, sugar | 9 | NIv2 | task571_recipe_nlg_ner_generation | fs_opt | [
-0.138400599360466,
0.6109409928321838,
-0.004888866096735001,
-0.04044898971915245,
-0.58027184009552,
0.08137999475002289,
0.10980091243982315,
0.6619417071342468,
-0.5221458673477173,
0.23808109760284424,
0.14374245703220367,
-0.5329636335372925,
-0.021498853340744972,
-0.33175837993621... |
Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.
Ex... | Hate Speech
| 1 | NIv2 | task904_hate_speech_offensive_classification | fs_opt | [
-0.5604019165039062,
0.2150723934173584,
0.359438955783844,
0.5842269062995911,
-0.07990354299545288,
-0.8867924809455872,
-0.023524649441242218,
0.6983431577682495,
0.3879244029521942,
-0.05650698393583298,
-0.317623108625412,
-0.4219522774219513,
-0.6597857475280762,
-0.6031977534294128,... |
Q: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
I first saw this movie on cable about 5 years ago and I could not stop laughing. Everything about this movie seemed to click, the storyline, the character... | positive | 7 | NIv2 | task284_imdb_classification | zs_opt | [
0.20462936162948608,
0.6553964614868164,
-0.49763932824134827,
-0.437939316034317,
0.3313750922679901,
0.08397333323955536,
0.6922414302825928,
0.7199784517288208,
0.5682717561721802,
-0.17331910133361816,
-0.5940200686454773,
-0.04961337894201279,
-0.4587783217430115,
-0.40616512298583984... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
Example: 処方箋を支払う為の保険は ？
Output: Terán seguro para pagar a receita?
The Japanese sentence is correctly translated into Galician, because the mea... | Pero sabedes que? Os orixinais teñen moreas de malas ideas, toneladas delas, de feito. | 1 | NIv2 | task1095_ted_translation_ja_gl | fs_opt | [
-0.08930768817663193,
0.840590238571167,
0.3999570608139038,
-0.5700465440750122,
0.18892590701580048,
-0.9145653247833252,
0.553672194480896,
0.5440094470977783,
0.10564354807138443,
-0.18645009398460388,
-0.3118455111980438,
0.26184821128845215,
-0.6446434259414673,
0.2388414442539215,
... |
Teacher:You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
Teacher: Now, understand the problem? Solve this instance: Os grandes líderes sábeno.
Student: | Los grandes líderes lo saben. | 6 | NIv2 | task1240_ted_translation_gl_es | zs_opt | [
-0.6666292548179626,
0.7255916595458984,
0.04232005774974823,
-1.1281564235687256,
-0.48181188106536865,
-1.2114589214324951,
-0.022389275953173637,
0.4127539396286011,
-0.37494096159935,
-0.49770593643188477,
-0.2811468243598938,
-0.29050058126449585,
-0.7952296137809753,
-0.5693994164466... |
You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two or more complete sentences connected without any punctuation). The poem should not be too long or too complex, because it ... | there be a man mr. klein and he love to clime vine even tough he drink wine
| 7 | NIv2 | task1711_poki_text_generation | fs_opt | [
0.5068597793579102,
1.5130970478057861,
-0.03876906633377075,
-0.1594921052455902,
-0.17564892768859863,
-0.9773547649383545,
0.4194669723510742,
0.6083438992500305,
0.2556881010532379,
-0.3767659068107605,
-1.0313117504119873,
0.8907756805419922,
-1.0212433338165283,
-0.1649671196937561,
... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
Example: מונטריי היא אחת מהם.
Example solution: Monterey is one of those.
Example explanation: The Hebrew sentence is correctly translated into English. `Montery` is correctly translated into `מונטריי`.
Problem: כעת יש לנו א... | Solution: Now we get to fight about all sorts of other issues. | 5 | NIv2 | task1234_ted_translation_he_en | fs_opt | [
0.06639701128005981,
0.6597558259963989,
0.5419674515724182,
-0.3957000970840454,
-0.4828324615955353,
-0.9320640563964844,
0.2964245676994324,
0.34647274017333984,
1.228838562965393,
-0.4673062264919281,
-0.24896252155303955,
0.4744628667831421,
-0.9227838516235352,
0.06586422026157379,
... |
Definition: 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 fo... | I_TURN_RIGHT I_JUMP I_TURN_LEFT I_TURN_LEFT I_LOOK I_TURN_LEFT I_TURN_LEFT I_LOOK | 2 | NIv2 | task126_scan_structured_text_generation_command_action_all | zs_opt | [
0.098011314868927,
0.46303272247314453,
-0.34008002281188965,
-0.018639760091900826,
0.1955757588148117,
-0.010962069034576416,
0.4255675673484802,
0.05205090716481209,
-0.027238057926297188,
-0.16152489185333252,
-0.7836511135101318,
-0.26653212308883667,
-0.7605747580528259,
-0.110393881... |
Instructions: In this task, you are given sentences from movie reviews. The task is to classify a sentence as "POS" if the sentiment of the sentence is positive or as "NEG" if the sentiment of the sentence is negative
Input: This in-depth study of important developments of the computer industry should make it required ... | POS | 3 | NIv2 | task363_sst2_polarity_classification | zs_opt | [
-1.0746474266052246,
0.1583210974931717,
0.25778213143348694,
0.039291467517614365,
0.3244858682155609,
-0.5992786884307861,
0.8127971887588501,
1.0028371810913086,
0.7254189848899841,
0.4977773427963257,
-0.4319198429584503,
-1.0757551193237305,
0.3558996319770813,
-0.0810612291097641,
... |
Detailed Instructions: You are provided with an "Event" and it's "Intent" related to PersonX. Determine the sentiment value of the given input as either "Positive", "Negative", and "Unknown".
Q: Event:PersonX likes ___ a lot. Intent: 1) to remember the event
A: | Unknown | 9 | NIv2 | task923_event2mind_classifier | zs_opt | [
-0.40865105390548706,
0.03004162758588791,
0.28173428773880005,
-0.015333508141338825,
-0.2911907434463501,
-1.1018728017807007,
1.0660761594772339,
0.6125197410583496,
0.28662753105163574,
-0.015480775386095047,
-0.13598448038101196,
-0.36157339811325073,
-0.6994524002075195,
0.1846513301... |
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.
Example input: claim: Music containing lyrics that glorify vio... | undermine | 3 | NIv2 | task738_perspectrum_classification | fs_opt | [
-0.014371827244758606,
0.33008652925491333,
0.5626294612884521,
-0.322194367647171,
-0.1600954830646515,
-0.691764235496521,
0.4359549582004547,
0.6440931558609009,
0.16296105086803436,
-0.008873099461197853,
-0.3662773668766022,
-0.4633713960647583,
-0.6230247020721436,
-0.60356205701828,... |
Generate an appropriate single-sentence summary for the given text such that it includes the main topic of the text.
Let me give you an example: By Marianna SpringSpecialist disinformation reporter, BBC News The adverts show the Democratic Party challenger with an earpiece, and say that he refused to have his ears che... | Botox injections can now be offered as a treatment for urinary incontinence, says England's NHS drugs watchdog. | 8 | NIv2 | task1357_xlsum_summary_generation | fs_opt | [
0.28435659408569336,
0.6421599984169006,
-0.5437144041061401,
-0.24023889005184174,
0.20802752673625946,
0.034182481467723846,
0.48540017008781433,
1.0702787637710571,
-0.13376671075820923,
0.1088830828666687,
0.09829942137002945,
0.6374688148498535,
-0.3568532466888428,
0.1391632109880447... |
You are given a sentence in English. Your job is to translate the English sentence into Persian.
Ex Input:
We are going to use strategy, and we are going to go back and apologize.
Ex Output:
که برگردیم و عذرخواهی کنیم. بله ، عذر خواهی.
Ex Input:
Because of the problems with Mycoplasma genitalium and its slow growth... | سومین دلیل شایع و اصلی مرگ میان آدمهای بین سنین ۱۵ تا ۲۵ لست.
| 1 | NIv2 | task1093_ted_translation_en_fa | fs_opt | [
-0.5350089073181152,
-0.14010852575302124,
-0.37425297498703003,
0.25938519835472107,
-0.13218313455581665,
-0.21866203844547272,
-0.1461925506591797,
0.10656405240297318,
0.36717796325683594,
0.6007445454597473,
-0.6966890692710876,
1.2558913230895996,
-0.21174655854701996,
0.212413609027... |
Given the task definition and input, reply with output. In this task, you are given an input i,A where i is an integer and A is an array. You need to find every ith element of A starting with the 1st element.
11, ['c', 'V', '2711', '989', '2097', 'm', 'd', 'A', 'K', '5053', '1085', 'h', '601', 'h', '7443', 'Q', '7097'... | c, h, V | 5 | NIv2 | task1542_every_ith_element_from_starting | zs_opt | [
0.23130497336387634,
0.5338883399963379,
-0.16122062504291534,
-0.6098259687423706,
-0.5657055377960205,
-0.4895673990249634,
0.24298062920570374,
-0.49701452255249023,
-0.07896363735198975,
-0.4892978072166443,
-0.802375316619873,
-0.547681987285614,
0.15198475122451782,
0.280510008335113... |
Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
Input: Na symulatorze trenowaliśmy niewidomych kierowców i szybko testowaliśmy różne interfejsy niewizualne. i szybko testowaliśmy różne interfejsy niewizualne.
Output: | O simulador resultou tamén moi útil para adestrar condutores cegos e probar de forma rápida distintos tipos de ideas para distintos tipos de interfaces non visuais. | 3 | NIv2 | task1261_ted_translation_pl_gl | zs_opt | [
-1.1976826190948486,
0.8861125707626343,
0.3192484378814697,
-1.0181467533111572,
-0.30764737725257874,
-0.3652579188346863,
0.9275264739990234,
0.3028840124607086,
-0.032759323716163635,
-0.22113096714019775,
-0.3021814227104187,
-0.19929780066013336,
0.15914636850357056,
0.17657580971717... |
TASK DEFINITION: You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
PROBLEM: Category: MYTHOLOGY
Clue: This Norse god known for his great strengt... | right honourable
| 8 | NIv2 | task308_jeopardy_answer_generation_all | fs_opt | [
-0.29374635219573975,
0.714077353477478,
-0.1337028294801712,
-0.38375622034072876,
-0.38765275478363037,
-0.8655858635902405,
0.8255611062049866,
0.5214608311653137,
0.12743525207042694,
-0.17918315529823303,
-0.09505623579025269,
0.33062779903411865,
-0.4340968728065491,
0.14862647652626... |
Teacher:You will be given a sentence. Check whether the sentence is grammatically correct and is meaningful. If the sentence is grammatically correct, then answer with '1', otherwise answer with '0'.
Teacher: Now, understand the problem? Solve this instance: John wrote books.
Student: | 1 | 6 | NIv2 | task1346_glue_cola_grammatical_correctness_classification | zs_opt | [
0.7673174738883972,
0.6959898471832275,
0.3960113525390625,
-0.7216300964355469,
0.6656816005706787,
-1.1908702850341797,
-0.08529021590948105,
0.2718965411186218,
-0.29757562279701233,
-0.5089701414108276,
-0.3639940321445465,
-0.08549915254116058,
-1.097956657409668,
-1.2542670965194702,... |
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).
Thursday at Madrid–Barajas Airport, Wikinews interviewed Spanish Paralymp... | 木曜日にマドリード・バラハス空港でウィキニュースは、スペインのパラリンピック水泳選手で、カナダのモントリオールで月曜日から開催される、2013年IPC水泳世界選手権大会で競技する予定であるマルタ・ゴメスにインタビューをした。 | 0 | NIv2 | task435_alt_en_ja_translation | zs_opt | [
0.3798161745071411,
0.457083523273468,
-0.2868586480617523,
-0.6080267429351807,
0.13245463371276855,
0.03868700563907623,
0.7246126532554626,
0.10538183897733688,
0.030165081843733788,
-0.2761805057525635,
-0.36033356189727783,
1.0836646556854248,
-0.39854705333709717,
0.41007763147354126... |
Given a sentence in the Japanese and Central Khmer language. Your task is check if the Khamer sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Let me give you an example: Japanese: 詳細は昨日UTC17時30分、英国議会でイギリスのルス・ケリー運輸大臣によって伝えられた。
Khamer: បណ្តាអ... | Yes | 8 | NIv2 | task1123_alt_ja_khm_answer_generation | fs_opt | [
-0.1779797375202179,
-0.1685001105070114,
-0.21535006165504456,
0.011033648625016212,
0.059541065245866776,
-0.6623120903968811,
0.17862097918987274,
0.0020296121947467327,
-0.30948537588119507,
-0.5371730327606201,
0.18157067894935608,
0.7169351577758789,
-0.37330102920532227,
0.663750886... |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Input: Consider Input: @badbanana haha, great made my day!
Output: positive
Input: Consider Input: Monday Monday Monday
Output: negative
Input: Cons... | Output: negative
| 2 | NIv2 | task195_sentiment140_classification | fs_opt | [
-1.2407629489898682,
0.30487319827079773,
0.8152481913566589,
0.6200565099716187,
0.2867809534072876,
-0.773128867149353,
-0.3412274122238159,
0.6995718479156494,
0.2145010530948639,
0.6263525485992432,
-1.0374913215637207,
-0.33370453119277954,
0.363040030002594,
-1.2817420959472656,
-0... |
In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.
Example: passage: Franchising is a way for small business owners to benefit from the economies of scale of the big corporation (franchiser). McDonald's and Subway a... | Solution: Yes | 5 | NIv2 | task380_boolq_yes_no_question | fs_opt | [
-0.037561506032943726,
0.4065206050872803,
-0.03352227434515953,
-0.018412591889500618,
-0.23744136095046997,
1.0228883028030396,
0.9612058997154236,
0.7715829014778137,
-0.04831833019852638,
0.09212139993906021,
-0.809245228767395,
0.028633330017328262,
-0.3064010441303253,
0.174202531576... |
In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3.
Ex Input:
[49, 56, 91, -77, -58, -26, -88, -16, 5]
Ex Output:
[49, 56, 91,... | [-86, 17, 56, 41]
| 1 | NIv2 | task370_synthetic_remove_divisible_by_3 | fs_opt | [
-0.2409675419330597,
-0.3766264319419861,
-0.6182442903518677,
-0.33266839385032654,
0.44626253843307495,
0.38774681091308594,
0.6199065446853638,
0.5992504358291626,
-0.2020803689956665,
0.22546103596687317,
-0.7262455821037292,
0.14926917850971222,
-0.14818626642227173,
-0.63020598888397... |
Given a sentence in Igbo language, translate the sentence to English language keeping the meaning of the original sentence intact
[EX Q]: Igbo sentence: onye nwe(s) nke a website nwere ike ụgwọ atụrụ na-enye echiche na ngwaahịa, ọrụ, weebụsaịtị iche iche ndị ọzọ isiokwu.
[EX A]: The owner(s) of this website may be com... | What ends discussions about licensing of foreign casinos is not yet clear, but while any Armenian can safely enjoy playing in their favorite online casinos and not be afraid that access will be closed and he will not be able to get his winnings.
| 6 | NIv2 | task449_opus_paracrawl_ig_en_translation | fs_opt | [
-0.8724334239959717,
-0.6013667583465576,
0.009846758097410202,
-0.22659189999103546,
0.1447882205247879,
-0.947598934173584,
0.5838779211044312,
0.5213590264320374,
0.15803316235542297,
-0.07529789209365845,
0.18919789791107178,
0.773012638092041,
-0.5122281312942505,
-0.03179445490241051... |
In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Try to find the best answer that is most likely to fill in "_". Note that the URLs in the text have been replaced with [Link].
One example is below.
Q: For four years we ... | Andreas Wallstrom | 9 | NIv2 | task339_record_answer_generation | fs_opt | [
0.36135613918304443,
0.02642413228750229,
-0.7752296924591064,
0.2734726369380951,
0.1733396053314209,
0.4159952402114868,
0.5820413827896118,
0.8853485584259033,
-0.19358254969120026,
0.5985000133514404,
0.29608941078186035,
0.5338726043701172,
-0.6244710087776184,
0.30144399404525757,
... |
Q: In this task, you are given a sentence which is either in the Swedish language or English language. You task is to identify the language of input sentence. Input sentence can be in Swedish or English language only and also it cannot have two languages at a time.
Let me remind you that the Erika was sailing under a f... | English | 7 | NIv2 | task315_europarl_sv-en_language_identification | zs_opt | [
-0.09732448309659958,
0.807079553604126,
0.44100165367126465,
-0.7060247659683228,
-0.2149272859096527,
-0.39396822452545166,
0.3839063048362732,
0.5313544273376465,
0.44021332263946533,
-0.06486116349697113,
0.49753665924072266,
0.23440349102020264,
0.07337737828493118,
-0.604271352291107... |
Part 1. Definition
You're given a fill-in-the-blank question where the answer is PersonX. You need to minimally change the given question so that the answer flips to PersonY. This task typically involves replacing one word i.e., the 'trigger word' with its antonym (e.g., changing from "sympathetic" to "stern"). You sho... | PersonX owned many gerbils as pets but not PersonY because _ enjoyed having gigantic sized pets. | 7 | NIv2 | task035_winogrande_question_modification_person | fs_opt | [
0.4753008782863617,
0.0439247228205204,
-0.27033090591430664,
0.11293405294418335,
0.08718421310186386,
-0.8785393238067627,
1.028318166732788,
0.5493928790092468,
-0.08669006824493408,
-0.4564220607280731,
-0.46935415267944336,
0.3032384216785431,
-1.0156655311584473,
0.24785713851451874,... |
In this task, you need to reverse all words of a given length in the sentence. The number of letters in a word determine its length. For example, the length of the word "apple" is 5.
Example input: Sentence: 'as a guy jumps over the snow with his snowboard people riding on the lift behind him look on'. Reverse all wor... | a kitchen htiw a blender a stove and emos white cabinets | 3 | NIv2 | task378_reverse_words_of_given_length | fs_opt | [
-0.49274933338165283,
1.104539155960083,
-0.022737087681889534,
-0.7444345951080322,
0.1109488308429718,
0.00020113284699618816,
0.6058716773986816,
0.14843693375587463,
0.18816468119621277,
-0.82835453748703,
-1.2784839868545532,
0.5799070596694946,
-0.8210619688034058,
0.3530902862548828... |
In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is potentially offensive to anyone (i.e., a subset of people, any particular person, etc.), 2) no, otherwise. Note that potentially offensive posts can contain sexual, racia... | No
| 5 | NIv2 | task609_sbic_potentially_offense_binary_classification | fs_opt | [
-0.6765780448913574,
-0.02784184366464615,
0.6719233393669128,
0.3649933934211731,
0.38355860114097595,
-0.5827860832214355,
0.5289690494537354,
0.7332892417907715,
0.320139616727829,
0.33696091175079346,
-0.1854841411113739,
-0.4566364586353302,
-0.28906920552253723,
-0.9880836009979248,
... |
Given the task definition and input, reply with output. Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.
Which actress played the lead role in the 1988 film 'Gorillas in the Mist'?
| sigourney weaver | 5 | NIv2 | task898_freebase_qa_answer_generation | zs_opt | [
-0.43746769428253174,
0.9097414016723633,
-0.6428374648094177,
-0.21969088912010193,
-0.46814244985580444,
0.23467037081718445,
0.5126817226409912,
0.5742408633232117,
-0.14597952365875244,
-0.6670704483985901,
-0.5700567960739136,
-0.696500301361084,
-0.22260677814483643,
-0.3656374812126... |
Here are two questions (Question1 and Question2). If these questions have the same meaning and same answer, answer "Yes", otherwise "No".
[EX Q]: Question1: What is screenedrenters.com?, Question2: What is kitchkarma.com?
[EX A]: No
[EX Q]: Question1: What is an easy way to reduce stress?, Question2: What is your fav... | No
| 6 | NIv2 | task1287_glue_qqp_paraphrasing | fs_opt | [
-0.06654975563287735,
0.061862241476774216,
-0.08594179153442383,
-0.34994056820869446,
-0.3870963752269745,
0.11786339432001114,
0.37645527720451355,
0.5763534307479858,
0.10634969919919968,
0.0814536064863205,
0.6203376650810242,
-0.2425267994403839,
-0.9210575819015503,
0.21922060847282... |
Detailed Instructions: In this task, you are given a dialogue from a conversation between an agent and a customer. Your task is to determine the speaker of the dialogue. Answer with "agent" or "customer".
Problem:I prefer a direct flight.
Solution: | customer | 8 | NIv2 | task575_air_dialogue_classification | zs_opt | [
-0.4373454451560974,
0.4374327063560486,
0.055025018751621246,
-1.1449358463287354,
-0.13479648530483246,
0.10083580017089844,
0.8092079758644104,
-0.3838162422180176,
0.5901429057121277,
0.5034111738204956,
-0.2041458636522293,
-0.47495800256729126,
-1.0694663524627686,
-0.084061317145824... |
Detailed Instructions: Given a sentence in Chinese, generate a new Chinese 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 reasona... | 参观艺术院的测试是欣赏绘画。 | 8 | NIv2 | task412_mickey_zh_sentence_perturbation_generation | zs_opt | [
-0.37025171518325806,
-0.08762342482805252,
-0.4340671896934509,
-0.44127151370048523,
0.39737674593925476,
-0.4861028790473938,
-0.4175381064414978,
0.4744715690612793,
0.06072560325264931,
0.0598144456744194,
0.05259144678711891,
0.06244683265686035,
0.13686898350715637,
0.47165390849113... |
In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators:
1. count: returns the number of rows in the view
2. only: returns wheth... | select the row whose total record of all rows is 2nd maximum . the party record of this row is conservative . | 6 | NIv2 | task110_logic2text_sentence_generation | fs_opt | [
0.07588871568441391,
0.04904988408088684,
-0.03154371306300163,
0.28079500794410706,
0.1002037525177002,
-0.3734549582004547,
0.44069433212280273,
0.3941246569156647,
-0.03455934673547745,
-0.21093416213989258,
-0.6748254299163818,
0.34450089931488037,
-0.1265597939491272,
0.49283123016357... |
Detailed Instructions: In this task, you are given a sentence in the Hindi language and a corresponding English translation of the Hindi sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No". In the translation, English sentence should preserve the number as it is... | No | 8 | NIv2 | task426_hindienglish_corpora_hi-en_classification | zs_opt | [
-0.7782741189002991,
0.5318115949630737,
0.8407126069068909,
0.5309696197509766,
0.13210870325565338,
-0.9367416501045227,
0.39390647411346436,
0.3644763231277466,
-0.4985571503639221,
-0.18465018272399902,
-0.24933283030986786,
0.12317517399787903,
-1.0322436094284058,
0.12361960858106613... |
In this task, you will be shown a Persian passage and a question, and you have to determine whether the question is answerable based on the passage or not. If the question is answerable, choose the "True" label, and if not select "False"
Input: Consider Input: ولایت: به معنی دوستی و پذیرش سرپرستی خدا، پیامبران، امام و... | Output: True
| 2 | NIv2 | task396_persianqa_classification | fs_opt | [
0.8613719940185547,
0.582724928855896,
-0.5525116920471191,
-0.20021085441112518,
-0.28181079030036926,
-0.11834891140460968,
1.1916236877441406,
0.5345240831375122,
0.22718770802021027,
0.28487393260002136,
-0.6828197240829468,
0.33250129222869873,
-0.5452609062194824,
0.03165024518966675... |
Q: In this task, you are given a sentence that is either in the Yoruba language or the English language. Your task is to identify the language of the input sentence. Input sentences should be in Yoruba or English language and also it cannot have two languages at a time.
Ó dùn wá gan-an láti sọ pé nílùú Lanao del Norte,... | Yoruba | 7 | NIv2 | task1621_menyo20k-mt_en_yo_language_identification | zs_opt | [
-0.32668620347976685,
0.5418572425842285,
0.4176056981086731,
-0.022224539890885353,
-0.5253883600234985,
-0.19609610736370087,
0.1748555600643158,
0.354131281375885,
-0.06371629238128662,
-0.5541157722473145,
-0.10077696293592453,
0.5350565910339355,
-0.9322456121444702,
0.371566474437713... |
In this task, you are given a post in Spanish from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it should be labeled as... | Non-hateful
| 3 | NIv2 | task334_hateeval_classification_hate_es | fs_opt | [
-0.08731155097484589,
0.3419050872325897,
0.041425783187150955,
0.7932953834533691,
-0.4170595705509186,
-0.3866470754146576,
0.6616672873497009,
0.9827035069465637,
-0.03440410643815994,
0.10325261950492859,
-0.2576354742050171,
0.17707321047782898,
-0.06480953097343445,
-0.47918224334716... |
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: personal or non-personal depending on the topic... | non-personal
| 6 | NIv2 | task1490_bengali_personal_hate_speech_binary_classification | fs_opt | [
-0.4384334981441498,
0.2580146789550781,
0.17525015771389008,
0.3498014211654663,
-0.6337229013442993,
-0.5208389163017273,
0.17300879955291748,
0.4804571270942688,
-0.33726590871810913,
-0.11645963042974472,
-0.5537182092666626,
-0.6027899980545044,
0.06530769169330597,
-0.202934399247169... |
Detailed Instructions: In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of... | No | 9 | NIv2 | task1197_atomic_classification_oreact | zs_opt | [
0.11417317390441895,
0.1303013563156128,
0.30059778690338135,
-0.39605912566185,
-0.5377284288406372,
-0.6628867983818054,
0.8998372554779053,
0.5190635323524475,
-0.39786702394485474,
-0.2825046181678772,
-0.21350224316120148,
-0.6189064979553223,
-0.712744951248169,
0.24541816115379333,
... |
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 Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is ... | NEGATIVE | 0 | NIv2 | task475_yelp_polarity_classification | fs_opt | [
-0.6818339228630066,
-0.09725093841552734,
-0.22727544605731964,
0.5671982765197754,
0.33492881059646606,
-0.48113584518432617,
0.7506468296051025,
1.3137993812561035,
-0.2952388823032379,
-0.1902075707912445,
0.38029807806015015,
0.015418065711855888,
-0.21200880408287048,
0.5386997461318... |
Given a premise, an initial context, an original ending, and a new ending, the task is to generate the counterfactual context that is aligned with the new ending. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and the second sentence, which is the initial context, provide... | He decided to skip the rides and spend his day in the pool. | 0 | NIv2 | task270_csrg_counterfactual_context_generation | zs_opt | [
-0.15959064662456512,
0.5150183439254761,
0.3811520040035248,
0.09489962458610535,
0.002159491181373596,
-1.2305643558502197,
-0.45610350370407104,
0.6291831135749817,
0.13346755504608154,
0.15691307187080383,
-0.3049747347831726,
-0.22367188334465027,
-0.7080227136611938,
0.19485735893249... |
TASK DEFINITION: You are given a sentence from a conversation between a human and a virtual assistant. Your task is to classify the sentence into one of the following five action categories - INFORM, INFORM_INTENT, OFFER, REQUEST, REQUEST_ALTS. If the sentence is about informing something, generate 'INFORM'. If it is a... | OFFER
| 8 | NIv2 | task880_schema_guided_dstc8_classification | fs_opt | [
-0.6468477249145508,
0.21528755128383636,
0.11995275318622589,
0.3222610354423523,
-0.07401874661445618,
0.16393736004829407,
-0.011451109312474728,
0.596819281578064,
0.3760922849178314,
-0.016885243356227875,
-0.4652509093284607,
-0.1234678328037262,
-0.6705778241157532,
0.47890639305114... |
You will be given a definition of a task first, then some input of the task.
This task is to translate a news commentary given in Dutch language into Portuguese language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of th... | Na Polónia, um país com 40 milhões de habitantes, o governo manifestou-se inicialmente disposto a aceitar 2 000 refugiados, mas apenas os que fossem cristãos (a Eslováquia propôs uma condição semelhante). | 1 | NIv2 | task1375_newscomm_translation | zs_opt | [
-0.6961233615875244,
0.788424551486969,
0.012473206967115402,
-0.05591394752264023,
-0.1152876615524292,
0.3203706741333008,
0.5975173115730286,
0.6108772158622742,
0.33403128385543823,
0.34659773111343384,
-0.3389609754085541,
0.7410122156143188,
0.032307468354701996,
-0.08366931974887848... |
Detailed Instructions: In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct a sentence that (a) captures the facts specified in the triples and (b) is a well-formed sentence ... | Jeux de la Francophonie won Totally 28 medal including 16 Bronze with 4th Rank. | 9 | NIv2 | task1409_dart_text_generation | zs_opt | [
0.20259657502174377,
0.9418481588363647,
-0.46994632482528687,
-0.5913936495780945,
0.19742801785469055,
-0.3875732123851776,
0.8490723371505737,
0.024403363466262817,
0.09897765517234802,
-0.8404812216758728,
-0.7134108543395996,
0.19482943415641785,
-0.3625745177268982,
-0.17668360471725... |
In this task, you are given books product reviews in Japanese language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
この人はまじめな人だと思うが . 平沢さん自体は、本当にまじめな政治家なのだと思います。 この人の印象は、「拉致問題に積極的に取り組んでいる政治家」というイメージしかないが、... | NEG | 0 | NIv2 | task485_cls_japanese_books_classification | zs_opt | [
-0.11316031962633133,
-0.11295910179615021,
-0.19492299854755402,
0.016217293217778206,
0.7551376223564148,
-0.10556376725435257,
1.2908151149749756,
0.03399034962058067,
0.08469672501087189,
0.2340570092201233,
-0.654294490814209,
0.08945690095424652,
-0.3900477886199951,
0.11973415315151... |
Read the given text and if it has abusive content then indicate via "yes". Otherwise indicate via"no".
We consider the content to be abusive if it contains any of the following instances: (1) Identity Directed Abuse (e.g., Content which contains a negative statement made against an identity. An identity is a social ca... | yes | 0 | NIv2 | task108_contextualabusedetection_classification | zs_opt | [
-0.2630499601364136,
0.2464427649974823,
0.5943373441696167,
0.2597571313381195,
-0.07206498831510544,
-0.545685350894928,
0.8434332609176636,
0.294275164604187,
0.059488821774721146,
0.42224717140197754,
0.12871968746185303,
-0.6221666932106018,
-0.5920872092247009,
-0.7916551232337952,
... |
Q: In this task, we ask you to rewrite a sentence in simple English without changing its general meaning. Essentially, you want to make the sentence easier to read by using simpler words, utilizing more straightforward sentence structures, and omitting non-essential information etc.
For this reason , Classical Greece i... | In this way , classical Greece was part of the foundation of Western civilization . | 7 | NIv2 | task933_wiki_auto_style_transfer | zs_opt | [
-0.42746078968048096,
0.7374533414840698,
0.2974807024002075,
-0.6542200446128845,
0.006562827154994011,
-0.7507819533348083,
0.7659600973129272,
-0.048740558326244354,
0.35492515563964844,
-0.4597221612930298,
0.07586268335580826,
0.750174343585968,
-1.0442357063293457,
-0.184504985809326... |
Given the task definition and input, reply with output. In this task you are expected to provide an SQL statement from an english description of what that SQL statement does. The description may include multiple steps but you should only ouput one SQL statement that accomplishes every step. An SQL query works by select... | SELECT DISTINCT product_name FROM Products | 5 | NIv2 | task077_splash_explanation_to_sql | zs_opt | [
0.5248784422874451,
0.6036631464958191,
-1.08982253074646,
0.8953356742858887,
-0.5110074281692505,
-0.0341976173222065,
0.6030746698379517,
0.8081055879592896,
-0.29816049337387085,
0.37909266352653503,
0.049099281430244446,
0.5096290707588196,
-0.04910162091255188,
0.45252764225006104,
... |
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... | [1, 4, 8, 9] | 9 | NIv2 | task098_conala_list_intersection | zs_opt | [
0.3473931550979614,
0.17637516558170319,
-0.6758351922035217,
-0.7720115184783936,
0.35892045497894287,
-0.281652569770813,
0.754084587097168,
0.29335054755210876,
-0.08124236762523651,
0.16951826214790344,
-0.5674426555633545,
-0.512950599193573,
-0.09819366037845612,
0.1152820959687233,
... |
TASK DEFINITION: The provided text is in English, and we ask you to translate the text to the Croatian language. Please bear in mind the following guidelines while translating: 1) We want a natural translation, a formal form. 2) Use the symbols like '#@%$-+_=^&!*' as-is. *Include* the special characters as suited when ... | To znači da je svemir kao kutija plina koja traje zauvijek.
| 8 | NIv2 | task1365_opustedtalks_translation | fs_opt | [
-0.5395052433013916,
1.2598150968551636,
-0.4109892249107361,
0.29003655910491943,
-0.14570310711860657,
-0.4627479910850525,
0.7071809768676758,
0.3182891607284546,
-0.29819542169570923,
-0.37670770287513733,
-0.3020205497741699,
0.23739144206047058,
-0.2577040195465088,
0.087406963109970... |
Detailed Instructions: In this task, you will be shown a Persian passage. You need to write a Persian question for the passage. Your question should be answerable based on the passage and only have one correct answer.
Q: دایناسورها گروهی از خزندگان مهرهدار بودند که حدود ۲۳۵ میلیون سال پیش در دورهٔ تریاس پسین به وجود آ... | در اوایل قرن بیستم نگاه دانشمندان به دایناسور ها چگونه بود؟ | 9 | NIv2 | task394_persianqa_question_generation | zs_opt | [
-0.0051310108974576,
0.48788055777549744,
-0.4712987542152405,
0.36918091773986816,
-0.720350980758667,
-0.23304925858974457,
0.5963882207870483,
0.4960483908653259,
0.10344280302524567,
0.4116598069667816,
-0.5091428756713867,
0.4933677315711975,
-0.8410109281539917,
0.2486615777015686,
... |
In this task, you are given a sentence in the Spanish language. Your task is to translate the Spanish sentence into the English language.
Q: El flujo linfático desde los pies
A: The lymphatic flow from the feet
****
Q: La rigidez afectiva se caracteriza por
A: Affective rigidity is characterized by
****
Q: Una de la... | One of the following is NOT a guideline that should guide interventions in Autism Spectrum Disorders. Point out which
****
| 4 | NIv2 | task1433_head_qa_language_translation_es_to_en | fs_opt | [
-0.5762542486190796,
0.5035936236381531,
0.07567230612039566,
-0.3137299120426178,
-0.5259155631065369,
-0.6104255318641663,
0.3781236410140991,
0.7623361349105835,
0.18149378895759583,
-0.2597191035747528,
0.22947803139686584,
0.3371613025665283,
-0.7403963208198547,
0.3434045910835266,
... |
Part 1. Definition
In this task you are given a short story and a question regarding that story. You must answer the question based on the events of the story. Try to use the same words in the story to answer each question. You should completely answer the question in a short answer. Do not include information that is ... | she fell off the swing. | 7 | NIv2 | task332_tellmewhy_answer_generation | fs_opt | [
-0.7338159084320068,
0.6747856140136719,
-0.37052857875823975,
-0.40580686926841736,
-0.2180175483226776,
-0.09377342462539673,
0.35999855399131775,
0.46050870418548584,
0.012424880638718605,
-0.32674726843833923,
-0.4599820375442505,
0.06406693160533905,
-0.11265887320041656,
0.6383222341... |
Given a context passage, generate a question from the passage such that its answer is shortest continous span from the passage.
In August 2009, Ocwen completed the distribution of its Ocwen Solutions (OS) line of business via the spin-off of a separate publicly traded company, Altisource (NASDAQ: ASPS). | Which exchange is Ocwen listed with? | 0 | NIv2 | task470_mrqa_question_generation | zs_opt | [
-0.18053165078163147,
1.0739655494689941,
-0.29304996132850647,
0.07536859810352325,
-0.5940933227539062,
-0.6804721355438232,
0.46532872319221497,
0.2917090654373169,
0.8588798642158508,
0.36952048540115356,
-0.019316118210554123,
0.010716918855905533,
-0.2141394466161728,
0.2851902842521... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: toxic and non-toxic. Toxicity is defiend as anything that is rude, disrespectful, or unreasonable that would make someone want to leave a converation.
Q: Comment: .
"No role for Assad, his fami... | Toxic | 4 | NIv2 | task327_jigsaw_classification_toxic | zs_opt | [
-0.2478533536195755,
0.7619849443435669,
0.6194172501564026,
-0.12564629316329956,
-0.054361313581466675,
-0.35657766461372375,
0.8171786069869995,
0.928024411201477,
0.4504731595516205,
1.0089191198349,
0.10489970445632935,
-0.23736047744750977,
-0.4620940387248993,
-0.8659906983375549,
... |
In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. There are several possible answers, you'll need to choose the proper one. Carefully read the given text, pay specia... | YEAR
| 3 | NIv2 | task304_numeric_fused_head_resolution | fs_opt | [
0.11017067730426788,
0.5521363019943237,
-0.5230056047439575,
0.43269771337509155,
-0.10606807470321655,
-0.11157345771789551,
1.6050751209259033,
0.9605183601379395,
-0.0011225424241274595,
0.0814872533082962,
-0.5058581829071045,
0.41151028871536255,
-0.6561055183410645,
-0.0523892305791... |
Instructions: In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.
Input: name[The Olive Grove], ea... | The Olive Grove features inexpensively priced English food in a pub setting. It is located in the city center and is not family-friendly. | 3 | NIv2 | task957_e2e_nlg_text_generation_generate | zs_opt | [
-0.48473161458969116,
0.8970012068748474,
-0.31585896015167236,
-0.23636494576931,
0.0017402777448296547,
-0.5956502556800842,
0.7699415683746338,
0.10196908563375473,
0.4970095753669739,
-0.776644229888916,
0.7724025845527649,
-0.11673122644424438,
-0.8984700441360474,
-0.5482255220413208... |
In this task you will be given some text dialogue and you need to infer the underlying emotion of the text. The possible emotions are happy, sad, angry, or other.
Q: i'm happy u like and i'm happy that your happy for me when i'm happy post some pic
A: happy
****
Q: ur r so funny i knoww p really
A: happy
****
Q: to ... | other
****
| 4 | NIv2 | task517_emo_classify_emotion_of_dialogue | fs_opt | [
-1.2010343074798584,
0.7537000179290771,
1.0513607263565063,
-0.6476486921310425,
0.08936598896980286,
-0.8245927095413208,
0.6908318996429443,
0.3593214452266693,
0.7736930251121521,
0.024090560153126717,
-0.28945398330688477,
-0.3533547520637512,
-0.6029938459396362,
-0.02633268758654594... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task you are given a sentence. You must judge whether subject of the main clause is singular or plural. Label the instances as "Singular" or "Plural" based on your judgment.
Coming from a xe... | Singular | 0 | NIv2 | task430_senteval_subject_count | fs_opt | [
-1.380908489227295,
0.48104387521743774,
0.0032387760002166033,
-0.25157612562179565,
-0.44325101375579834,
-0.14529380202293396,
0.7864311933517456,
0.5364522933959961,
-0.04271719604730606,
-0.5622780919075012,
-0.4644874334335327,
-0.0814695879817009,
-0.42447561025619507,
-0.0266000386... |
Detailed Instructions: In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'.
Problem:Dialogue 1: 'i want to play who we playing for i said cricket'. Dialo... | yes | 8 | NIv2 | task518_emo_different_dialogue_emotions | zs_opt | [
-0.4759610891342163,
0.22151342034339905,
-0.13209861516952515,
-0.2760562598705292,
-0.6016928553581238,
-0.19750767946243286,
1.0307872295379639,
-0.2929328680038452,
-0.05177433788776398,
-0.6040456295013428,
-0.013332135044038296,
-0.404950350522995,
-0.6960541009902954,
0.515346169471... |
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 information can be introduced. Avoid using pronouns to confuse the subject of the... | The girls knit together | 4 | NIv2 | task187_snli_entailment_to_contradiction_text_modification | zs_opt | [
-0.6692807674407959,
0.7528223991394043,
0.19465111196041107,
-0.6798471808433533,
0.19552788138389587,
-0.3157165050506592,
-0.07691426575183868,
0.411205530166626,
0.5389535427093506,
-1.003553867340088,
-1.2526440620422363,
-0.5502430200576782,
-0.6793999075889587,
-0.6982284784317017,
... |
Teacher:The given sentence contains a typo which could be one of the following four types: (1) swapped letters of a word e.g. 'niec' is a typo of the word 'nice'. (2) missing letter in a word e.g. 'nic' is a typo of the word 'nice'. (3) extra letter in a word e.g. 'nicce' is a typo of the word 'nice'. (4) replaced lett... | skia. | 6 | NIv2 | task088_identify_typo_verification | zs_opt | [
-0.8084815740585327,
0.3799334466457367,
0.007085179910063744,
0.3132307231426239,
0.6467544436454773,
-0.9388565421104431,
1.0669077634811401,
0.038670614361763,
0.155997633934021,
0.055643338710069656,
0.08853666484355927,
-0.2028343230485916,
-0.6115003824234009,
-0.11629576981067657,
... |
Q: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
עלויות כניסה לפארק עוזרות לממן שומרי פארק כדי להתמודד עם התיירות ומכסות הדייג.
A: | Entrance fees to the park now help fund park rangers to manage tourism and fishing quotas. | 7 | NIv2 | task1234_ted_translation_he_en | zs_opt | [
-0.06291072815656662,
-0.13184182345867157,
-0.5061482787132263,
-0.20056362450122833,
-0.7620259523391724,
-1.145403265953064,
0.14382430911064148,
0.07586798816919327,
0.9232068061828613,
-0.32907387614250183,
-0.13543550670146942,
-0.10369373857975006,
-1.1647579669952393,
0.20998890697... |
In this task, you are given a sentence in the Gujarati language and a corresponding English translation of the Gujarati sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
Example: Gujarati: ઘેટાંની ટોળાં એક ગોચરમાં ચરાઈ સાથે મળીને ઊભા છે.
English: A herd of ... | Solution: Yes | 5 | NIv2 | task440_eng_guj_parallel_corpus_gu-en_classification | fs_opt | [
-0.4828401505947113,
0.3033811151981354,
0.293838769197464,
0.35529881715774536,
0.23149287700653076,
-0.8821051120758057,
-0.13364402949810028,
0.5305188894271851,
-0.3518761396408081,
-0.20321059226989746,
-0.2708081603050232,
0.32396772503852844,
-0.6390195488929749,
0.08973117172718048... |
This task is about identifying the object of a given sentence. The object of a sentence is the person or thing that receives the action of the verb. It is the who or what that the subject does something to. Each sentence in this task is guaranteed to contain a single object. The input is a sentence and the output is th... | Viking Press | 6 | NIv2 | task1413_dart_object_identification | fs_opt | [
-0.7960526943206787,
0.39855527877807617,
0.43296176195144653,
-0.13437128067016602,
-0.328232079744339,
0.062453143298625946,
0.915276050567627,
-0.3594922721385956,
0.20282873511314392,
-0.4273851811885834,
-0.6137841939926147,
-0.12088459730148315,
-0.865134060382843,
0.5155553817749023... |
TASK DEFINITION: In this task, you are given an input list A. You need to find all the elements of the list that are numbers and calculate their sum.
PROBLEM: ['9863', 'y']
SOLUTION: 9863
PROBLEM: ['8821', '7221']
SOLUTION: 16042
PROBLEM: ['8165', '219', 'D', 'x', 'n', 'L', 'x', 'n', '1343', 'o', 'T', 'M', 'q', 'D'... | 22327
| 8 | NIv2 | task499_extract_and_add_all_numbers_from_list | fs_opt | [
-0.007429808843880892,
0.45179781317710876,
-0.69444739818573,
-1.0285801887512207,
-0.37618446350097656,
0.2793028950691223,
0.27246737480163574,
-0.2060101181268692,
-0.4268324375152588,
-0.13604333996772766,
-0.7524863481521606,
-0.07351754605770111,
0.1585540622472763,
-0.2947032451629... |
Definition: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
Input: Pero creo que lo importante es que es una metáfora con dientes. Y es con esos dientes que hoy quiero proponer que reconsideremos un poco el rol de las matemáticas contemporáneas, no solo las financieras, s... | אבל אני סבור שהנקודה היא שזוהי מטפורה עוקצנית. ועם העוקץ הזה אני רוצה להעלות היום את הרעיון שעלינו לחשוב מחדש על תפקידה של המתמטיקה בת-זמננו — לא רק מתמטיקה פיננסית, אלא מתמטיקה בכללותה. | 2 | NIv2 | task1229_ted_translation_es_he | zs_opt | [
-0.8049126863479614,
0.8291313648223877,
-0.25096678733825684,
-0.5124982595443726,
-0.5576620697975159,
0.41424912214279175,
0.7746850252151489,
0.8225646018981934,
0.6242808103561401,
-0.43266424536705017,
-0.0024068602360785007,
0.08814770728349686,
-0.4240246117115021,
-0.1816998571157... |
You will be given a definition of a task first, then some input of the task.
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).
In short, we should put our faith... | Tendremos, en definitiva, que depositar nuestra confianza en aquellos que, sobre el terreno, pueden, mejor que nosotros, tomar ciertas decisiones. | 1 | NIv2 | task530_europarl_en_es_translation | zs_opt | [
-0.46402430534362793,
0.866894006729126,
0.2677803337574005,
-0.03493640199303627,
-0.12300051003694534,
-0.42710545659065247,
1.2134935855865479,
0.7436456680297852,
-0.16160748898983002,
-0.20449677109718323,
-0.5097050666809082,
0.14098156988620758,
-0.4474553167819977,
-0.0683394819498... |
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... | [261, 294] | 3 | NIv2 | task374_synthetic_pos_or_neg_calculation | fs_opt | [
-0.760886549949646,
0.6558022499084473,
-0.20240136981010437,
-0.18091702461242676,
0.25427430868148804,
-0.38561904430389404,
1.1940408945083618,
0.2702130079269409,
-0.3699015974998474,
0.173976868391037,
-0.4392988085746765,
0.43583106994628906,
-0.4099041819572449,
-0.33979684114456177... |
Detailed Instructions: You are given a paragraph, with numbered sentences, and a question. Write the numbers of the sentences needed to answer the given question. Separate multiple sentence numbers with a comma (", "). E.g. "1, 2" would be the correct response if Sent 1 and Sent 2 are needed to answer the given questio... | 1, 9. | 8 | NIv2 | task049_multirc_questions_needed_to_answer | zs_opt | [
0.2334681749343872,
-0.03254532814025879,
-0.7026731371879578,
-0.7388650178909302,
0.471862256526947,
-0.23137831687927246,
0.38624608516693115,
0.9604165554046631,
-0.3190425634384155,
0.3383510708808899,
-0.2773629426956177,
0.41140031814575195,
-0.759717583656311,
-0.13337543606758118,... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Example input: Terán seguro para pagar a receita?
Example output: 処方箋を支払う為の保険は ？
Example explanation: The Galician sentence is correctly translated into Japanese, because the meaning is preserved.
Q: E Internet chegou a... | そしてインターネットは世界の隅々まで行き渡ったどんなに貧困な僻地にも | 3 | NIv2 | task1239_ted_translation_gl_ja | fs_opt | [
-0.8766010999679565,
0.9856762886047363,
0.5284732580184937,
-0.7546441555023193,
-0.12238654494285583,
-0.9107784628868103,
1.312206745147705,
-0.08248630166053772,
-0.08616675436496735,
-0.1971619725227356,
-0.28799310326576233,
0.716711163520813,
-0.7631833553314209,
0.370466411113739,
... |
Instructions: A text is given in Malayalam. Translate it from the Malayalam language to the Panjabi language. The translation must not omit or add information to the original sentence.
Input: ഉന്നത കായിക താരങ്ങള്ക്ക് 50,000 രൂപയുടെ പ്രതിമാസ സ്റ്റൈപ്പന്റ് : ടാര്ജറ്റ് ഒളിംപിക് വോളിയം പദ്ധതി പ്രകാരം തിരഞ്ഞെടുക്കപ്പെട്ടി... | 11 ਸੀਨੀਅਰ ਅਥਲੀਟਾਂ ਨੂੰ ਪ੍ਰਤੀ ਮਹੀਨੇ 50,000 ਰੁਪਏ ਦਾ ਵਜ਼ੀਫਾ : ਮੰਤਰਾਲੇ ਨੇ ਓਲੰਪਿਕ ਟਾਸਕ ਫੋਰਸ ਦੀ ਸਿਫਾਰਸ਼ `ਤੇ ਮਿਤੀ 15 ਸਤੰਬਰ, 2017 ਨੂੰ ਟਾਰਗੈਟ ਓਲੰਪਿਕ ਪੋਡੀਅਮ ਯੋਜਨਾ ਤਹਿਤ ਚੁਣੇ ਸਾਰੇ ਅਥਲੀਟਾਂ ਨੂੰ ਅੰਤਰਰਾਸ਼ਟਰੀ ਪ੍ਰਤੀਯੋਗਤਾਵਾਂ ਵਿੱਚ ਭਾਗੀਦਾਰੀ ਲਈ ਤਿਆਰੀ ਦੌਰਾਨ ਜੇਬ ਖਰਚ ਲਈ ਪ੍ਰਤੀ ਮਹੀਨੇ 50,000 ਰੁਪਏ ਦਾ ਵਜ਼ੀਫਾ ਦੇਣ ਦਾ ਫ਼ੈਸਲਾ ਕੀਤਾ। | 3 | NIv2 | task1005_pib_translation_malayalam_punjabi | zs_opt | [
0.14085617661476135,
0.1495017558336258,
-0.4753973186016083,
0.30865585803985596,
0.08024715632200241,
-0.2070435881614685,
0.08462017774581909,
0.29627519845962524,
0.06871768087148666,
-0.2504400908946991,
-0.23528458178043365,
-0.33626416325569153,
-0.012021698988974094,
0.065958559513... |
Q: In this task, you will be presented with a premise and a hypothesis sentence. Determine whether the hypothesis sentence entails (implies), contradicts (opposes), or is neutral with respect to the given premise sentence. Please answer with "Contradiction", "Neutral", or "Entailment".
Premise: "Be Right Back" is the f... | Contradiction | 7 | NIv2 | task1385_anli_r1_entailment | zs_opt | [
-0.14795319736003876,
0.40045100450515747,
0.41608965396881104,
0.03240975737571716,
0.35131436586380005,
-0.25731801986694336,
0.35494714975357056,
0.35859090089797974,
0.6896544098854065,
0.1011316180229187,
-0.8090772032737732,
0.12964770197868347,
0.022713113576173782,
-0.2685002386569... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to collate all the alphabetical elements at the start of the list followed by all the numerical elements of the list. Maintain the order in which the alphabetical elements appear in the given input... | H, g, V, B, K, T, e, r, 7835, 7179, 2329, 6613, 6351, 1993 | 6 | NIv2 | task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately | fs_opt | [
0.12101145833730698,
0.048434898257255554,
-0.6254363656044006,
-0.28294628858566284,
0.13195085525512695,
-0.591576099395752,
0.584017276763916,
0.4731564521789551,
-0.8951184749603271,
0.239830881357193,
-0.8916879892349243,
-0.43464887142181396,
-0.017981093376874924,
0.1409801542758941... |
In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
Let me give you an example: Context: Chronic rhinosinusitis (CRS) is a heterogeneous disease with an uncertain pathogenesis. Group 2 innate lymphoi... | The results of this study demonstrate that hyperglycemia inhibits human PDLSC proliferation and osteoblastic differentiation. | 8 | NIv2 | task849_pubmedqa_answer_generation | fs_opt | [
-0.04735374450683594,
0.5597574710845947,
-0.41255810856819153,
-0.28024834394454956,
0.4291478991508484,
0.058453094214200974,
0.22770152986049652,
0.7541944980621338,
-0.15420523285865784,
0.14445477724075317,
-0.43930715322494507,
0.12242960184812546,
-0.8115550875663757,
0.502376914024... |
Teacher: In this task, you need to answer the given multiple-choice question on the general math. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Problem: what is difference between biggest and smallest fraction among 2 ... | c | 2 | NIv2 | task1420_mathqa_general | fs_opt | [
0.6577341556549072,
0.26444822549819946,
-0.5380921363830566,
-0.21819403767585754,
0.0043470957316458225,
-0.05866192653775215,
1.0657482147216797,
1.2619240283966064,
-0.4669046998023987,
-0.16882719099521637,
-0.7525506019592285,
-0.18034523725509644,
-0.4976554214954376,
-0.03081278316... |
In this task you will be given a list, of lists, of numbers. Each list is presented with brackets and comma-separated values. For example, a list of numbers is [1,2,3] and a list of two lists of numbers is [[1,2],[3,4,6]]. You should sum up the values at every position of every inner list and put it as an element of yo... | [4, 10, 22, 75, 137, 83, -26, 36, 98]
| 3 | NIv2 | task122_conala_list_index_addition | fs_opt | [
0.2325458824634552,
-0.40650874376296997,
-0.7720062732696533,
-0.3604564964771271,
0.0640236884355545,
-0.3391624689102173,
0.9174692630767822,
0.5718387365341187,
-0.47678259015083313,
-0.0602671280503273,
-0.7509826421737671,
0.25129956007003784,
-0.2857818603515625,
-0.0349229127168655... |
"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". Indicate yo... | Response 1 | 4 | NIv2 | task362_spolin_yesand_prompt_response_sub_classification | zs_opt | [
0.21881787478923798,
0.6797027587890625,
0.7725985646247864,
-0.17710046470165253,
0.18541359901428223,
-0.49407920241355896,
0.23747146129608154,
0.2841362953186035,
-0.04007399082183838,
-0.4145781993865967,
-0.6088280081748962,
0.006152017507702112,
-0.7016203999519348,
0.24632954597473... |
Teacher: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.
Teacher: Now, understand the ... | Paraphrase | 6 | NIv2 | task400_paws_paraphrase_classification | zs_opt | [
-1.2893030643463135,
0.5027353167533875,
-0.05846935510635376,
-0.4662593603134155,
-0.5103015303611755,
0.19494295120239258,
0.6499693989753723,
-0.24519282579421997,
0.3746042251586914,
-0.7385408878326416,
-0.42099058628082275,
0.26508355140686035,
-0.5953793525695801,
0.109558962285518... |
Given a sentence in Dutch, generate a new Dutch 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... | De werkelijkheid is wat we sorteren, negeren, aanraken, horen en trekken. | 4 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | zs_opt | [
-0.25923746824264526,
1.4061671495437622,
0.39584794640541077,
-0.45759475231170654,
-0.5194425582885742,
-0.37603992223739624,
-0.1352439820766449,
0.6616475582122803,
0.449126660823822,
-0.5167248249053955,
-0.8681291341781616,
0.5810872912406921,
-0.42863455414772034,
0.1294896751642227... |
In this task, you have to generate the title of the recipe given its required ingredients and directions.
One example: ingredients: '1 cup minced onion', '1 1/2 tablespoons lemon juice', '3/4 teaspoon Hungarian paprika', '3/4 teaspoon ground cayenne pepper', '1/4 teaspoon salt', <sep> directions: 'Rinse onions in sieve... | Chili/Lime Halibut Recipe TheKitchenHotline | 6 | NIv2 | task569_recipe_nlg_text_generation | fs_opt | [
0.9292406439781189,
0.06057705357670784,
-0.8063498735427856,
1.0330913066864014,
0.4001953601837158,
-0.8784559965133667,
0.9927090406417847,
0.683670699596405,
-0.6516366004943848,
-0.24645787477493286,
0.12985709309577942,
0.18309259414672852,
-0.4282960891723633,
0.5514572858810425,
... |
You will be given two pieces of text with the same meaning. One of them is simpler and easier to understand for non-native English speakers. Complex texts may contain more difficult words, have unnecessary phrases or contain long sentences. Your task is to choose the simpler piece of text. You are expected to output 'T... | Text two
| 7 | NIv2 | task112_asset_simple_sentence_identification | fs_opt | [
-1.2282586097717285,
0.5298919081687927,
0.18893131613731384,
-0.21017348766326904,
0.8416052460670471,
-1.2539501190185547,
-0.2588663697242737,
0.7395055294036865,
0.5477197766304016,
-0.10113123059272766,
-0.3131956458091736,
-0.2381991297006607,
-0.5865463614463806,
-0.0855671763420105... |
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to output the first i elements of A, starting with the 1st element in A. i will always have a value less than the length of A
11, ['C', 'Z', '6889', 'a', 'V', 'X', 'k', 'l', 'u', '8195', 'x', '8167', '1911', '291', '2021', 'e',... | 8905
| 0 | NIv2 | task063_first_i_elements | fs_opt | [
0.13096174597740173,
0.2890164852142334,
-0.4979855716228485,
-0.12749497592449188,
-0.41382163763046265,
-0.4988783597946167,
0.6449555158615112,
0.4541265368461609,
-0.562373697757721,
0.14939312636852264,
-0.8349039554595947,
-0.2421410083770752,
0.139308363199234,
0.2795211672782898,
... |
Part 1. Definition
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 match reality, and the third is when a... | green_basket | 7 | NIv2 | task152_tomqa_find_location_easy_noise | fs_opt | [
0.15216496586799622,
-0.27578645944595337,
-0.5736496448516846,
-0.04824706166982651,
0.006736536510288715,
-0.2336660623550415,
0.5924360752105713,
0.261833518743515,
-0.4144880175590515,
-0.05387129634618759,
-0.07836394011974335,
0.7719242572784424,
-0.14261187613010406,
0.1191988363862... |
Detailed Instructions: Generate an appropriate single-sentence summary for the given text such that it includes the main topic of the text.
Problem:By Simon ReadBusiness reporter In December, it agreed to pay all outstanding package holiday refunds by the end of January. But consumer group Which? said several customers... | Online travel agent Lastminute.com failed to keep to a promise to refund people for Covid-hit holidays. | 8 | NIv2 | task1357_xlsum_summary_generation | zs_opt | [
0.05388238653540611,
0.5747568607330322,
-0.32969412207603455,
-0.8832108974456787,
0.376426637172699,
0.18481940031051636,
0.5677545070648193,
0.7622531056404114,
-0.6510093212127686,
0.2839032709598541,
0.7081859707832336,
0.45779192447662354,
-0.7167097330093384,
-0.06479295343160629,
... |
TASK DEFINITION: In this task, you are given Wikipedia articles on a range of topics as passages and a question from the passage. We ask you to answer the question by classifying the answer as 0 (False) or 1 (True)
PROBLEM: Passage: Shutter speed -- In photography, shutter speed or exposure time is the length of time w... | 0
| 8 | NIv2 | task1661_super_glue_classification | fs_opt | [
-0.7089018225669861,
0.0655868649482727,
-1.0655791759490967,
-0.05414865165948868,
-0.10800787061452866,
0.36439087986946106,
0.18339669704437256,
0.5370844602584839,
0.2621428072452545,
-0.40220656991004944,
-0.5255255699157715,
0.26376956701278687,
-0.19108065962791443,
0.05248123407363... |
Detailed Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Polish.
Problem:Vídeo: A xente leva xogando durante toda a historia do ser humano.
Solution: | Film: Ludzkość grała w gry w ciągu całej swojej historii. | 8 | NIv2 | task1244_ted_translation_gl_pl | zs_opt | [
-0.3222830295562744,
0.8091756105422974,
-0.7300356030464172,
-0.0016464244108647108,
-0.38603276014328003,
-0.5946094989776611,
1.0676660537719727,
-0.26239079236984253,
-0.6923463940620422,
-0.8264586925506592,
-0.005787285976111889,
-0.10288682579994202,
-0.22652672231197357,
0.12201258... |
Detailed Instructions: In this task, you will be presented with a question, and you have to write the part-of-speech tag for each word in the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Fo... | WP VBZ RP DT NN WDT VBD DT NNP IN DT NN NN . | 9 | NIv2 | task345_hybridqa_answer_generation | zs_opt | [
0.09453827142715454,
0.3837686777114868,
-0.5031588077545166,
0.554262638092041,
-0.14284636080265045,
-0.7393608093261719,
0.8450177311897278,
0.558524489402771,
-0.40611743927001953,
-0.3312719166278839,
0.06570015847682953,
0.2238233983516693,
-0.6664071083068848,
0.5567157864570618,
... |
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.
Ex Input:
name[xname], eattype[coffee shop], cuisine[Fast Food], price[cheap], location[riverside], familyFriendly[yes], near[xnear]
Ex Output:
x... | xname is a coffee shop that serves cheap Japanese food in the city centre near xnear. They are not family-friendly and have a customer rating of 5 out of 5.
| 1 | NIv2 | task1598_nyc_long_text_generation | fs_opt | [
-0.2374328076839447,
-0.5543712973594666,
-0.5748575329780579,
0.17928044497966766,
0.18720196187496185,
0.37397947907447815,
1.0701252222061157,
1.3204009532928467,
-0.1614913046360016,
-0.42512619495391846,
0.7368320822715759,
-0.25637805461883545,
-0.5109262466430664,
-0.419932901859283... |
In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same length that is the largest across all words in that sentence.
Let me give you an ... | Yes | 8 | NIv2 | task114_is_the_given_word_longest | fs_opt | [
-0.06421013176441193,
1.0908026695251465,
-0.2900073528289795,
-0.4895022511482239,
-0.17977170646190643,
-0.4919174909591675,
0.4161674380302429,
0.3677191436290741,
0.4601898491382599,
-0.7629382610321045,
-0.5221987962722778,
0.683557391166687,
-0.2568066716194153,
-0.18492895364761353,... |
In this task, you will be given a list of integers. You should remove all of the odd integers from the list(consider 0 an even number). If every integer in the input list is odd then an empty list ("[]") should be returned. Otherwise, answer with the list of even numbers separated by comma inside brackets.
One example ... | [-6, 46] | 9 | NIv2 | task369_synthetic_remove_odds | fs_opt | [
-0.6827666759490967,
0.7817766666412354,
0.047028567641973495,
-0.8633071780204773,
-0.06498366594314575,
-0.64375901222229,
1.1261484622955322,
0.28222355246543884,
0.03789237141609192,
0.4368329644203186,
-0.9667084813117981,
-0.1271212100982666,
-0.3603978753089905,
-0.5563344955444336,... |
Teacher:In this task, you have to generate the title of the recipe given its required ingredients and directions.
Teacher: Now, understand the problem? Solve this instance: ingredients: '3 large eggs', '1 c. brown sugar', '1 c. white sugar', '1 c. softened butter', '2 c. flour', '1 tsp. baking soda', '1 tsp. baking po... | Jill'S Pride Of Iowa Cookies | 6 | NIv2 | task569_recipe_nlg_text_generation | zs_opt | [
0.36640363931655884,
0.20391017198562622,
-0.3890085816383362,
-0.17354167997837067,
-0.37999433279037476,
-0.13215512037277222,
-0.3503286838531494,
0.07428967207670212,
-0.6893646121025085,
-0.5364649295806885,
-0.281744122505188,
0.3479890823364258,
0.105307936668396,
-0.344784706830978... |
Q: Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
Tweet: @anonymized_account @anonymized_account Piwnica bez okien, ty to masz dobrze , Question: Is the tweet free of any cyberbullying (harmful) content?
A: | Yes | 7 | NIv2 | task839_cdt_classification | zs_opt | [
-1.6581025123596191,
1.4667322635650635,
0.5061632990837097,
0.958092212677002,
-0.4987591505050659,
-0.33728379011154175,
0.8825527429580688,
-0.5382267236709595,
0.19025878608226776,
0.2982375919818878,
0.11746141314506531,
0.19716590642929077,
-0.7518100738525391,
0.19368839263916016,
... |
Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.
Input: Jose strolled to Jane 's house .... | 2 | 2 | NIv2 | task868_mawps_singleop_question_answering | zs_opt | [
-0.06659223139286041,
1.111490249633789,
-0.646990180015564,
0.11544535309076309,
-0.42325979471206665,
0.3867883086204529,
0.6956934332847595,
0.5282739996910095,
-0.3044143319129944,
-0.11879357695579529,
-0.724254846572876,
0.19802437722682953,
-0.5004292130470276,
-0.1940683275461197,
... |
Teacher: You are given a question-answer pair. Answer with their type. Pay attention that there may be more than one correct type, but you only have to choose one. In your responses, use of the following types:
(1) Humans: Any individual or group of humans, including fictional ones (e.g., a group or organization of pe... | Date. | 2 | NIv2 | task046_miscellaneous_question_typing | fs_opt | [
0.7876700162887573,
-0.36640146374702454,
-0.2028953731060028,
0.13788747787475586,
0.052519652992486954,
-0.8270022869110107,
0.8769251108169556,
1.0144537687301636,
-0.5748050212860107,
-0.15330183506011963,
-0.6589008569717407,
0.2464495748281479,
-0.33612626791000366,
0.201214089989662... |
Q: Languages typically provide more than one grammatical construction to express certain types of messages. Your task is to generate a senetence with the same meaning as given sentence, but with different grammatical construction.
Maria addressed the man the note
A: | Maria addressed the note to the man | 7 | NIv2 | task132_dais_text_modification | zs_opt | [
-0.24940328299999237,
1.4084839820861816,
0.09608504176139832,
-0.4433576464653015,
-0.2053290754556656,
-0.48150283098220825,
0.47692716121673584,
0.3825417160987854,
0.8486632108688354,
-0.6333886384963989,
-0.4809229373931885,
0.17657794058322906,
0.1043546199798584,
-0.0073240227065980... |
instruction:
Provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.': Period sym... | VERB
| 9 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | fs_opt | [
0.27184903621673584,
0.15778079628944397,
0.02355567365884781,
0.08262022584676743,
-0.07278919219970703,
-0.7061712741851807,
0.6236331462860107,
0.7406437993049622,
-0.4206644892692566,
-0.017443692311644554,
-0.4226590394973755,
0.3376081585884094,
-0.5286002159118652,
0.204232633113861... |
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