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 will be given a definition of a task first, then some input of the task.
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 symbol is used for symbols denoting Punctuations/Separations such as comma, period, backticks etc.,
'ADJ': Adjectives are words that typically modify nouns and specify their properties or attributes,
'ADP': Adposition is a cover term for prepositions and postpositions,
'ADV': Adverbs are words that typically modify verbs for such categories as time, place, direction or manner,
'CONJ': A word used to connect clauses or sentences or to coordinate words in the same clause,
'DET': Determiners are words that modify nouns or noun phrases and express the reference of the noun phrase in context,
'NOUN': Nouns are a part of speech typically denoting a person, place, thing, animal or idea,
'NUM': A numeral is a word, functioning most typically as a determiner, adjective or pronoun, that expresses a number and a relation to the number, such as quantity, sequence, frequency or fraction,
'PRT': Particles are function words that must be associated with another word or phrase to impart meaning and that do not satisfy definitions of other universal parts of speech,
'PRON': Pronouns are words that substitute for nouns or noun phrases, whose meaning is recoverable from the linguistic or extralinguistic context,
'PROPN': A proper noun is a noun (or nominal content word) that is the name (or part of the name) of a specific individual, place, or object,
'VERB': A verb is a member of the syntactic class of words that typically signal events and actions, can constitute a minimal predicate in a clause, and govern the number and types of other constituents which may occur in the clause,
'X': The tag X is used for words that for some reason cannot be assigned a real part-of-speech category.
Sentence: In the U.S. over-the-counter market , American depositary shares for Reuters , each representing three shares in the London market , closed {{ unchanged }} at $ 43.875 *U* .
Word: unchanged
Output: | ADJ | 1 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | zs_opt | [
0.31135958433151245,
-0.08861608058214188,
-0.006845122668892145,
0.06163845956325531,
-0.046024564653635025,
-0.3885349631309509,
0.6669463515281677,
0.6309564709663391,
-0.08855738490819931,
-0.04959540069103241,
-0.5340219736099243,
0.16911140084266663,
-0.4078962802886963,
0.2591487765... |
You are given a sentence in English. Your job is to translate the English sentence into Persian.
Q: And that's just on air.
A: | و همه چیز به صورت زنده پخش می شود. | 4 | NIv2 | task1093_ted_translation_en_fa | zs_opt | [
-0.2746654152870178,
1.4708126783370972,
0.14005160331726074,
-0.6484169960021973,
0.09268606454133987,
0.93727707862854,
0.23421964049339294,
1.110090732574463,
-0.10220776498317719,
-0.08646862953901291,
-0.5327549576759338,
-0.05734628438949585,
-0.2872774004936218,
-0.3840387165546417,... |
Teacher:You are given a sentence in Polish. Your job is to translate the Polish sentence into Japanese.
Teacher: Now, understand the problem? Solve this instance: Pomyślmy, co naprawdę się dzieje.
Student: | 実際に何が起こっているかを考えてみましょう | 6 | NIv2 | task1257_ted_translation_pl_ja | zs_opt | [
-0.2556638717651367,
0.21030670404434204,
0.4858761429786682,
-0.3320799171924591,
-0.12654882669448853,
-0.6616741418838501,
0.34447216987609863,
0.2131730616092682,
0.5543068647384644,
-0.12317027151584625,
0.05782289803028107,
-0.05956609547138214,
-0.5722242593765259,
-0.40079033374786... |
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e. tagset of this corpus is 'ADJ': Adjectives are words that typically modify nouns and specify their properties or attributes, 'ADP': Adposition is a cover term for prepositions and postpositions, 'ADV': Adverbs are words that typically modify verbs for such categories as time, place, direction or manner, 'AUX': An auxiliary is a function word that accompanies the lexical verb of a verb phrase and expresses grammatical distinctions not carried by the lexical verb, such as person, number, tense, mood, aspect, voice or evidentiality, 'CCONJ': A coordinating conjunction is a word that links words or larger constituents without syntactically subordinating one to the other and expresses a semantic relationship between them, 'DET': Determiners are words that modify nouns or noun phrases and express the reference of the noun phrase in context, 'INTJ': An interjection is a word that is used most often as an exclamation or part of an exclamation, 'NOUN': Nouns are a part of speech typically denoting a person, place, thing, animal or idea, 'NUM': A numeral is a word, functioning most typically as a determiner, adjective or pronoun, that expresses a number and a relation to the number, such as quantity, sequence, frequency or fraction, 'PART': Particles are function words that must be associated with another word or phrase to impart meaning and that do not satisfy definitions of other universal parts of speech, 'PRON': Pronouns are words that substitute for nouns or noun phrases, whose meaning is recoverable from the linguistic or extralinguistic context, 'PROPN': A proper noun is a noun (or nominal content word) that is the name (or part of the name) of a specific individual, place, or object, 'PUNCT': Punctuation marks are non-alphabetical characters and character groups used in many languages to delimit linguistic units in printed text, 'SCONJ': A subordinating conjunction is a conjunction that links constructions by making one of them a constituent of the other. The subordinating conjunction typically marks the incorporated constituent which has the status of a (subordinate) clause, 'SYM': A symbol is a word-like entity that differs from ordinary words by form, function or both, 'VERB': A verb is a member of the syntactic class of words that typically signal events and actions, can constitute a minimal predicate in a clause, and govern the number and types of other constituents which may occur in the clause, 'X': The tag X is used for words that for some reason cannot be assigned a real part-of-speech category.
[Q]: Sentence: Mark Elliott tells me that you drafted some trader guidelines ( physical {{ and }} financial ) for the London traders .
Word: and
[A]: CCONJ
[Q]: Sentence: If they 're going kinda slow and like fake biting ( not biting as hard as they can ) , {{ and }} fake scratching ( not hitting as hard as they can with their paws ) then they 're playing .
Word: and
[A]: CCONJ
[Q]: Sentence: 4 ) R. Ansems Gen. Foulkesstraat {{ 5 }} 4641 BW Ossendrecht Netherlands
Word: 5
[A]: | NUM
| 5 | NIv2 | task583_udeps_eng_coarse_pos_tagging | fs_opt | [
0.7995727062225342,
0.29976123571395874,
-0.18956638872623444,
-0.06874042004346848,
0.07278573513031006,
-0.5790929198265076,
0.75519859790802,
0.8568644523620605,
-0.5353713035583496,
-0.2516750395298004,
-0.1494237780570984,
0.09813801944255829,
-0.5056387186050415,
0.46882861852645874,... |
You are given a sentence in English. Your job is to translate the English sentence into Arabic.
Q: Caves form in karstic regions.
A: | تكوين من الكهوف في مناطق الكارستك. | 4 | NIv2 | task1220_ted_translation_en_ar | zs_opt | [
0.9064950942993164,
0.5781521797180176,
0.1967690885066986,
-0.20780202746391296,
0.0462452732026577,
0.2711482644081116,
0.19847393035888672,
0.626044750213623,
-0.323535680770874,
-0.15353518724441528,
0.028022320941090584,
-0.2952881455421448,
-0.8561977744102478,
0.32794874906539917,
... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
One example is below.
Q: 私たちはただひたすら歌い続けましたすると驚くことに信頼が芽生え友情が花開いたのです
A: ما آواز خوندیم ، و خوندیم ، آواز خونديم ، و بطور شگفت انگیزی اعتماد جدید رشد کرد ، و درواقع دوستی شکوفه زد.
Rationale: The Japanese sentence is correctly translated into Farsi, because the meaning is preserved.
Q: 量子生物学における別の例は量子コヒーレンスで生物学においてもっとも重要な過程の一つです光合成によって植物やバクテリアが太陽光を吸収しそのエネルギーを使って生体を作り上げます
A: | مثال دیگر مکانیک کوانتومی در زیست شناسی ، انسجام کوانتومی است ، در یکی از مهمترین فرایندها در زیست شناسی ، فتوسنتز: گیاهان و باکتری ها نور خورشید را می گیرند ، و از آن انرژی برای تولید زیست توده استفاده می کنند. | 9 | NIv2 | task1098_ted_translation_ja_fa | fs_opt | [
0.6706320643424988,
0.9959313273429871,
-0.4186176657676697,
-0.21296286582946777,
-0.692552924156189,
-0.6747750043869019,
1.1196811199188232,
0.17391251027584076,
-0.26174426078796387,
-0.12475494295358658,
-0.6384373903274536,
0.2989855408668518,
-1.0352613925933838,
0.5423508882522583,... |
Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact.
Input: Consider Input: Tagalog sentence: Ang sitwasyon ay mas masahol sa pamamagitan ng Doppler's complaining mag-aaral na siya ay masyadong magaspang sa kanyang pagsusuri.
Output: The situation was made worse by Doppler's students complaining that he was too harsh in his examining.
Input: Consider Input: Tagalog sentence: Alam mo ang tanawin kung saan isang sundalo ay may kumpletong pagwawalang-bahala para sa kanyang sariling kaligtasan at ito ay up sa harap, at ang iba ay tumakbo palayo.
Output: You know the scene where one soldier has complete disregard for his own safety and is up in front, and everyone else is running away.
Input: Consider Input: Tagalog sentence: 3:15 At nagsugo si Is-boseth, at kinuha siya sa kaniyang asawa, kay Paltiel na anak ni Lais.
| Output: 3:15 And Isboseth sent, and took her from her husband Phaltiel, the son of Lais.
| 2 | NIv2 | task451_opus_paracrawl_tl_en_translation | fs_opt | [
0.17263980209827423,
0.31633394956588745,
-0.7344033718109131,
-0.243197962641716,
0.15958738327026367,
-0.5666497945785522,
0.5069488883018494,
1.0498307943344116,
0.735034704208374,
-0.09057771414518356,
-0.7450131177902222,
0.6322425603866577,
-0.8602923154830933,
-0.12139348685741425,
... |
Detailed Instructions: In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
See one example below:
Problem: [-83, 53, -48, 8]
Solution: [-80, 50, -50, 10]
Explanation: The output correctly rounds each integer in the input list to the nearest ten. So this is a good example.
Problem: [230, -505]
Solution: | [230, -500] | 4 | NIv2 | task373_synthetic_round_tens_place | fs_opt | [
-0.3083386719226837,
0.35624629259109497,
-0.5920150279998779,
-0.18599441647529602,
-0.08465826511383057,
-0.5341967940330505,
1.3624132871627808,
-0.14744889736175537,
0.06760259717702866,
0.37879490852355957,
-0.5806741118431091,
-0.07136064022779465,
-0.32776638865470886,
0.02447264268... |
Part 1. Definition
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
Part 2. Example
3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']
Answer: a, 34, f
Explanation: Here, the first 3 elements from the list are 'a', '34', and 'f'.
Part 3. Exercise
8, ['9139', 'R', '1189', '843', 'M', '8337', 'F', '7095', '8249', 'c', 'N', '5579', '2331', 'H', '5159', '765', '7983', '7045', 'A', 'F', 'D']
Answer: | 9139, R, 1189, 843, M, 8337, F, 7095 | 7 | NIv2 | task063_first_i_elements | fs_opt | [
0.3530880808830261,
0.09748680889606476,
-0.23123614490032196,
-0.5741366147994995,
0.08856716752052307,
0.07561489939689636,
0.7274396419525146,
0.40674301981925964,
0.23081117868423462,
-0.10873071849346161,
-1.24014151096344,
-0.31137025356292725,
-0.01168711856007576,
-0.40084201097488... |
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 return the sum of all the numerical elements in the list A between the positions i and j (including positions i and j). Return 0 if no numerical element is present in the list between the given ranges. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
Example Input: 1, 5, ['5057', 'Z', 'a', '4561', '225', '6921', 'T', '4033', '1259', '9805', 'l', '5641']
Example Output: 9843
Example Input: 9, 17, ['9485', '5729', 'N', 'v', 'H', 'j', 'K', 'D', 'R', '2515', 'O', '2001', '9877', 'p', 'Y', '8407', '647']
Example Output: 23447
Example Input: 2, 5, ['U', '9383', '4667', 'd', 'L', 'j', '845', '7965', '7569', 'w', 'O', 'N', '4809', '5401', '1033', '9317', '6689', '4867', '6427', 'o', 'K', 'b', '3301', 'e', 'N', '1493', '5189', '2491']
Example Output: | 14050
| 3 | NIv2 | task606_sum_of_all_numbers_in_list_between_positions_i_and_j | fs_opt | [
0.25027936697006226,
-0.027697306126356125,
-0.7415339946746826,
-0.3538805842399597,
-0.0690869465470314,
-0.21531900763511658,
0.7772170305252075,
0.4383305013179779,
-0.5936520099639893,
0.24730822443962097,
-0.8949716687202454,
0.2817189693450928,
0.066100113093853,
0.02474683523178100... |
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.
Q: Waaah, I am so bored :| Mom's watching Prison Break. )
A: negative
****
Q: Just reported a beached whale on the ocean side between 61st and 62nd in Long Beach. So sad.
A: negative
****
Q: @mileycyrus never thought i would see someone that liked hello kitty more then me. im still refusing to let it be true.
A: | positive
****
| 4 | NIv2 | task195_sentiment140_classification | fs_opt | [
-1.1251816749572754,
0.1926552951335907,
0.7590060234069824,
0.2391916811466217,
0.5199136734008789,
-0.9282665252685547,
-0.7305418252944946,
0.8610276579856873,
0.6323772072792053,
0.7438640594482422,
-0.5240141153335571,
-0.8857128024101257,
-0.2376093864440918,
-0.742708683013916,
-0... |
Teacher:Given a prompt and four completions, select the completion that is the most plausible in continuing or answering the prompt. This task is designed to test common sense and has various categories ranging between idioms, negated statements, polysemy, subject referencing, and quantitative reasoning. Generate either Completion A, Completion B, Completion C, or Completion D.
Teacher: Now, understand the problem? Solve this instance: Prompt: The system was designed to predict the sentiment of movie reviews. The system
Completion A: had three favorite movies and enjoyed reviewing them.
Completion B: failed to compile upon training.
Completion C: paid for the tickets and walked over to the counter to order popcorn.
Completion D: has three children.
Student: | Completion B | 6 | NIv2 | task156_codah_classification_adversarial | zs_opt | [
-0.4671204686164856,
0.5077886581420898,
-0.20585884153842926,
-0.506757378578186,
-0.38108980655670166,
0.021071836352348328,
0.7654757499694824,
0.3143269121646881,
0.04695818945765495,
-0.40845590829849243,
-0.41851523518562317,
-0.370909184217453,
0.21325255930423737,
0.073607563972473... |
In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story; note that the selected choices may fit into the story at any point. Indicate your selected choices in order, i.e., as 'ab'/'bc'/'ac' and not as 'ba'/'ca'/'cb'. If options are equally plausible, pick the ones that make more sense.
Title: Anna bought a goat to have fresh milk. Every morning Anna woke to milk Lady. Goat's milk was Anna's favorite! Choices: a. She named the goat Lady. b. If it disappeared it was a hole in one. c. Then she would enjoy the fresh milk.
ac
Title: She worked hard, but struggled to understand the concepts. So she went for tutoring after classes. Soon her grades had improved drastically! Choices: a. It turned out to also be her last acting gig she became a chef. b. Anna was doing badly in school. c. The tutors helped her grasp the ideas and learn more.
bc
Title: On the street corner a man smoked a cigar. A stranger came up to him and pulled out a cigarette. The man grabbed the stranger's cigarette and lit it with his cigar. Choices: a. The two men smoked in peaceful silence until they were done. b. The stranger had no lighter so he asked the man for his. c. Keith uses the adrenaline to save lyndie.
| ab
| 0 | NIv2 | task221_rocstories_two_choice_classification | fs_opt | [
0.048432379961013794,
0.2361564189195633,
0.1095522791147232,
0.08114998042583466,
0.2300841063261032,
-0.2116973102092743,
-0.0015627117827534676,
1.3802464008331299,
0.01024720724672079,
0.19868966937065125,
-0.463664174079895,
-0.3733559250831604,
-0.3841443657875061,
-0.726595103740692... |
Given a sentence in English language, translate the sentence to Somali language keeping the meaning of the original sentence intact
[EX Q]: English sentence: 35 Then a certain man of the sons of the prophets said to his companion in the word of the Lord: Strike me. But he would not strike.
[EX A]: 35 Oo nin qoonkii nebiyada ka mid ah ayaa saaxiibkiis ku yidhi, War i dil, waan ku baryayaaye, taasuna waxay ahayd eray xagga Rabbiga ka yimid, laakiinse ninkii waa diiday inuu dilo.
[EX Q]: English sentence: 5:4 The king of Egypt said to them: “Why do you, Moses and Aaron, distract the people from their works? Go back to your burdens.”
[EX A]: 5:4 Markaasaa boqorkii Masar wuxuu ku yidhi iyagii: "Waa maxay sababta aad samayn, Muuse iyo Haaruun, dadka laga jeediyo wayntii shuqulladoodu? Ku noqo culculus qabsada.
[EX Q]: English sentence: 4:13 But he said, “I beg you, O Lord, send whomever else you would send.”
[EX A]: | 4:13 Laakiin wuxuu ku yidhi, "Waxaan idinka baryayaa, Rabbiyow, diri cidduu kale kuu soo diri doono. "
| 6 | NIv2 | task446_opus_paracrawl_en_so_translation | fs_opt | [
-0.17986950278282166,
0.8283025026321411,
0.05014066398143768,
-0.9115675091743469,
-0.42053598165512085,
-0.589474081993103,
0.23703275620937347,
0.14508582651615143,
0.10834459960460663,
-0.13962402939796448,
-0.44228023290634155,
0.4471721649169922,
-0.8933993577957153,
-0.6093291044235... |
You will be given a sentence that describes a restaurant. You will also be given a few categories of information regarding that sentence. Your task is to fill each of the categories with the appropriate information from the sentenece.
Ex Input:
Sentence: Located near the riverside, xname is a French restaurant that has a price range of £20-£25 and has a customer rating of 3 out of 5. This isn't a kid friendly restaurant. ; Categories: familyFriendly, location, price
Ex Output:
familyFriendly[no], location[riverside], price[£20-25]
Ex Input:
Sentence: xname is the best restaurant since it's in the East Village with acceptable decor, adequate food and decent staff and it is a Indian place. It is cheap. ; Categories: service, location, qual
Ex Output:
service[acceptable], location[the East Village], qual[acceptable]
Ex Input:
Sentence: The xname coffee shop, located in the city center serves Italian food. It is not family-friendly and has a low customer rating. ; Categories: cuisine, eattype, familyFriendly
Ex Output:
| cuisine[Italian], eattype[coffee shop], familyFriendly[no]
| 1 | NIv2 | task1597_nyc_slot_filling | fs_opt | [
-0.0019200334791094065,
-0.5272156000137329,
-0.1755962073802948,
-0.06056119501590729,
-0.04559469223022461,
-0.13385283946990967,
0.8889586925506592,
1.0799205303192139,
0.09903037548065186,
-0.41596800088882446,
0.9829461574554443,
0.12566423416137695,
-0.3004637062549591,
-0.5577417612... |
In this task, you are given inputs k, i, and A, where k and i are integers and A is a list. You need to find every ith element of A starting from the kth element. The process stops when the position of the next ith element exceeds the length of the list.
Ex Input:
3, 8, ['l', '937', 'c', '3755', '5805', '9853', 'g', 'j', 'Q', 'm', 'G', '6131', 'u', 'M', 'o', 'u', 's', 'K', '9299', 'e', '4511', 'k', '343', '7127', '485', 'p', '3285', '5095', 's']
Ex Output:
c, G, 9299, 3285
Ex Input:
3, 7, ['223', 'H', 'n', 'N', 'J', '983', 'I', 'V', 'P', 'u', '5075', 'w', 'O', '2747', '1517', '4783', '8077']
Ex Output:
n, u, 8077
Ex Input:
2, 4, ['8059', 'T', '8291', '345', '3331', '5317', 'F', '8233', 'W', '6847', '4513', '2137', '967', 'M', 'J', 'S', 'h', '3623', '5081', 'Z']
Ex Output:
| T, 5317, 6847, M, 3623
| 1 | NIv2 | task1551_every_ith_element_from_kth_element | fs_opt | [
0.10714765638113022,
-0.3236329257488251,
-0.9109311103820801,
-0.40758681297302246,
-0.44389355182647705,
-0.6187555193901062,
0.31611165404319763,
0.3247983455657959,
-0.5373242497444153,
0.2526894211769104,
-0.6890395879745483,
-0.15980610251426697,
0.3317825198173523,
0.254296571016311... |
The task is to generate text based of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons emotional reaction to the event, i.e. how that person feels after doing the action.
--------
Question: PersonX provides the ___ with information
Answer: guilty
Question: PersonX gets a summer job
Answer: proud
Question: PersonX returns ___ soon
Answer: | comfortable
| 7 | NIv2 | task1595_event2mind_text_generation_1 | fs_opt | [
-0.4961000680923462,
0.8274483680725098,
-0.09243889153003693,
-0.5940467715263367,
-0.8643646836280823,
-0.692549467086792,
1.4800431728363037,
0.7710788249969482,
-0.11756596714258194,
-0.9210240840911865,
0.039740268141031265,
0.10261459648609161,
-0.9153608679771423,
0.5223249197006226... |
Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish.
Input: Em primeiro lugar, podem dar mais controlo aos seus colaboradores e clientes.
Output: | En primer lugar, pueden dar más control a los empleados y clientes. | 3 | NIv2 | task1276_ted_translation_pt_es | zs_opt | [
-0.5278502106666565,
1.0141123533248901,
-0.32246845960617065,
-0.6335545778274536,
-0.40266621112823486,
-0.19291585683822632,
0.015424225479364395,
0.9786421656608582,
1.169093132019043,
-0.22277700901031494,
-0.5962995886802673,
-0.07903295010328293,
-0.35534220933914185,
-0.15473325550... |
Instructions: The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Catalan Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and form of each sentence in the Catalan language. 2) Also names, dates and places should be preserved it should not get translated.
Input: The law was allowed to be genteel enough; many young men, who had chambers in the Temple, made a very good appearance in the first circles, and drove about town in very knowing gigs.
Output: | En cuanto al ejercicio de las leyes, le concedieron la gracia de considerarla una profesión bastante decorosa; muchos jóvenes con despachos en alguna Asociación de Abogados de Londres han logrado una muy buena llegada a los círculos más importantes, y se pasean por la ciudad conduciendo calesas muy a la moda. | 3 | NIv2 | task1652_opus_books_ca-en_translation | zs_opt | [
0.3098422586917877,
1.550788402557373,
-0.4778401553630829,
-0.317808598279953,
-0.19555269181728363,
-1.6104856729507446,
0.45419129729270935,
0.20153753459453583,
-0.34890979528427124,
-0.14970198273658752,
-0.10552692413330078,
0.8109632730484009,
-1.196082592010498,
-0.4212435781955719... |
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.
Input: Category: ORGANIZATIONS
Clue: The president of this social club founded by New York City entertainers in 1904 is called the Abbot
Output: | friars\' club | 2 | NIv2 | task307_jeopardy_answer_generation_final | zs_opt | [
-0.17061945796012878,
0.5807912349700928,
-0.1302836537361145,
0.3180692493915558,
-0.23123447597026825,
0.3469579517841339,
0.9629286527633667,
-1.0427035093307495,
0.6499072313308716,
0.3648647665977478,
-0.9266278743743896,
-0.07767918705940247,
-0.8174628019332886,
0.391874223947525,
... |
Q: 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.
വെള്ളപ്പൊക്കത്തെ തുടര്ന്നുണ്ടായ നാശനഷ്ടങ്ങള് പരിഹരിക്കുന്നതിന് കേന്ദ്രം എല്ലാ പിന്തുണയും ഉറപ്പ് നല്കിയതായും സ്ഥിതിഗതികള് സസൂക്ഷ്മം നിരീക്ഷിച്ച് വരികയാണെന്നും പ്രധാനമന്ത്രി ട്വീറ്റ് ചെയ്തു.
A: | ਪ੍ਰਧਾਨ ਮੰਤਰੀ ਨੇ ਟਵੀਟ ਕੀਤਾ ਕਿ ਹੜ੍ਹਾਂ ਦੀ ਸਥਿਤੀ ਨਾਲ ਨਿਪਟਣ ਲਈ ਕੇਂਦਰ ਨੇ ਬਿਹਾਰ ਸਰਕਾਰ ਨੂੰ ਹਰ ਤਰ੍ਹਾਂ ਦੀ ਹਿਮਾਇਤ ਦਾ ਭਰੋਸਾ ਦਿੱਤਾ ਹੈ ਅਤੇ ਸਥਿਤੀ ‘ਤੇ ਪੂਰੀ ਤਰ੍ਹਾਂ ਨਜ਼ਰ ਰੱਖੀ ਜਾ ਰਹੀ ਹੈ । | 7 | NIv2 | task1005_pib_translation_malayalam_punjabi | zs_opt | [
-0.6328683495521545,
0.6952403783798218,
0.28551825881004333,
-0.7408987879753113,
0.01691966876387596,
-1.408153772354126,
1.0969501733779907,
0.8027688264846802,
-0.06223705783486366,
-0.16837278008460999,
-0.15249121189117432,
-0.2594231367111206,
-0.35642945766448975,
0.968501627445221... |
Detailed Instructions: In this task, you will be shown an English sentence. You need to classify the sentence as either a representation of an adjunct island or as an incorrect representation. A correct representation should be denoted as 'good' while everything else should be denoted as 'bad'. A correct representation of an adjunct island will be a grammatically correct instance of a sentence using an adjunct island. An incorrect representation will be everything else.
Problem:What is Lissa cleaning the lights while taking?
Solution: | bad | 8 | NIv2 | task1559_blimp_binary_classification | zs_opt | [
-0.15404585003852844,
1.1170706748962402,
0.2113877832889557,
-0.6346301436424255,
-0.34997838735580444,
-1.5646862983703613,
0.4797382056713104,
0.02244364097714424,
0.18463167548179626,
0.20673558115959167,
0.1651860475540161,
0.25828129053115845,
-0.44042086601257324,
0.2056048214435577... |
Definition: From the given sentence, extract the phrase (often noun or verb) that carries the given relationship. The generated phrase should be present in the sentence.
Input: Given Relationship: 'be city in', Sentence: 'Quickly locate Rental Cars in Keene and other cities throughout New Hampshire . . .'
Output: | cities | 2 | NIv2 | task678_ollie_actual_relationship_answer_generation | zs_opt | [
-0.1038672924041748,
0.42808422446250916,
0.24139493703842163,
-0.6261470317840576,
-0.19284288585186005,
-0.4179178774356842,
-0.08669637143611908,
1.3314085006713867,
0.19185107946395874,
0.16818568110466003,
-0.09223076701164246,
0.2552758753299713,
-0.8901300430297852,
0.33132815361022... |
Q: 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 citing text. The correct answer is the holding statement that corresponds to the citing text. The four incorrect answers are other holding statements. You should find the correct option. There is a <HOLDING> token in the position of the citing text prompt where the holding statement was extracted.
case. Having determined that the court only has subject matter jurisdiction to review the fiscal intermediary’s action in denying the interest expense based on § 413.153(c)(1), the court now reviews that action. However, there is no longer anything for the court to review. The parties have resolved the issue between themselves. The Secretary has conceded that the fiscal intermediary’s action of disallowing the interest expense solely because the loans were from related parties was an error of law. Thus, because it is undisputed that the fiscal intermediary erred, the proper action at this juncture is for the court to remand the case to the Secretary. See South Prairie Constr. Co. v. Local No. 627, Int’l Union of Operating Eng’rs, 425 U.S. 800, 806, 96 S.Ct. 1842, 48 L.Ed.2d 382 (1976) (<HOLDING>); Federal Power Comm’n v. Idaho Power Co., 344
Holding statements: (A) holding that a reviewing courts task is to determine whether there was substantial evidence before the administrative agency on the record as a whole to support the agencys conclusions (B) holding that when an administrative agencys decision was a mixed question of fact and law a reviewing court should apply a clearly erroneous standard of review (C) holding that summary judgment is appropriate when no issue of material fact exists and the court is reviewing administrative record for sufficiency of evidence (D) holding that the function of the reviewing court ends when the administrative agencys error on the legal issue is laid bare (E) holding that the district court is limited to considering the administrative record in reviewing the denial of benefits under an erisa plan
A: | (D) | 7 | NIv2 | task268_casehold_legal_answer_generation | zs_opt | [
0.2076442539691925,
0.055376194417476654,
0.04325036332011223,
-0.2841425836086273,
0.26794397830963135,
-1.1438195705413818,
0.510972797870636,
1.4165760278701782,
-0.11633822321891785,
-0.3013043999671936,
-0.22908544540405273,
0.15217989683151245,
-0.3214834928512573,
0.3298770785331726... |
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: For four years we have waited expectantly for the pitter patter of tiny paws. Soon, that wait could finally be over. Tian Tian, the UK's only female giant panda, has conceived and could give birth to a cub as early as August. However Edinburgh Zoo, where the pandas live, have warned people 'not to get too excited' as the process is 'extremely complex'. Moreover, on the two previous occasions keepers inseminated Tian Tian - whose name means 'Sweetie' - she has failed to produce a panda cub. She was artificially inseminated again in March this year, but keepers at the zoo say implantation - when a fertilised egg attaches to the uterus - has not yet occurred.Tian Tian has conceived and could give birth to a cub as early as AugustShe has been inseminated twice before but so far failed to produce a cubTian Tian and Yang Guang arrived in 2011 from China to great fanfareOn loan at £600k a year, became first giant pandas to live in UK for 17 years
Questions:Under the terms of the agreement any cubs will return to _ at the age of two, the age at which they would normally leave their mother in the wild.
Solution is here: China
Explanation: This is a good example. Based on the passage, any cubs will return to China at the age of two
Now, solve this: Paris (CNN) A 9-year-old South African child diagnosed with HIV when he was 1 month old has been in HIV remission for 8½ years -- without regular treatment. This is the first reported case of a child controlling their HIV infection without drugs in Africa and the third known case globally. Soon after diagnosis, the child was placed on antiretroviral treatment, or ART, for 40 weeks, at which point treatment was stopped and the child's health was monitored. Blood tests in late 2015 revealed the child is in HIV remission, meaning levels of the virus in the blood are undetectable using standard tests. Subsequent testing of samples dating back to the child's infancy confirm remission was achieved soon after treatment was stopped.The 9-year-old has been in HIV remission for most of his lifeUnderstanding his biology may one day help other children come off HIV treatment
Question:We could develop a product given to people in combination with _ so people can eventually stop ART, said Violari.
Solution: | ART | 6 | NIv2 | task339_record_answer_generation | fs_opt | [
0.2606547176837921,
0.47887271642684937,
-0.445418119430542,
0.027656253427267075,
0.14880019426345825,
0.15109509229660034,
0.20075474679470062,
1.0490062236785889,
-0.19368593394756317,
0.8266861438751221,
-0.2171979546546936,
0.6672850251197815,
-0.9533900022506714,
0.31110700964927673,... |
Definition: 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, provides more information about the story's context. The original ending is the last three sentences of the story. Also, you are given a new ending that can provide the new story with the same premise. You should write a counterfactual context to explain the small differences between the original and new endings. More specifically, a story context contains the general plot of the story. And a counterfactual context is a slight modification to the initial context. To sum up, you should write the second sentence of a story based on the premise(first sentence) and the new ending(last three sentences) of the story.
Input: Premise: Haley has been working at the same company for a dozen years.
Initial Context: She really enjoys her job and likes her co-workers.
Original Ending: Haley's company decides to promote someone to a management position. Haley applies for the management job and gets an interview. Haley is promoted to a management position at her company.
New ending: Haley decides to apply for a management position at a new company. Haley applies for the new job and gets an interview. Haley gets the management position at the new job.
Output: | She decided she needs a new company. | 2 | NIv2 | task270_csrg_counterfactual_context_generation | zs_opt | [
0.08663131296634674,
-0.05334475636482239,
0.09140900522470474,
0.35098761320114136,
0.13173867762088776,
-0.5953656435012817,
-0.3991363048553467,
0.8985463380813599,
0.13591349124908447,
-0.12779918313026428,
-0.5003405213356018,
-0.4066351652145386,
0.5248003602027893,
0.009426042437553... |
In this task you're given a question and you have to paraphrase the question to create the output question while retaining the meaning of the original question.
How do I know my UAN number from my PF number?
How do I check my UAN number?
Which is the best way to create personal website for a developer?
How can someone create a personal website?
What is the best cleaner app I can have on my android device?
| What are the best TTC apps for an Android device?
| 0 | NIv2 | task1345_glue_qqp_question_paraprashing | fs_opt | [
-0.719700038433075,
0.10710334777832031,
-0.805799126625061,
-1.1037805080413818,
-0.6140224933624268,
-0.3900831341743469,
0.8187112212181091,
-0.14176049828529358,
-0.3789999186992645,
0.7914541363716125,
-0.7982051372528076,
0.6431189775466919,
-1.0925602912902832,
0.0016495862510055304... |
Detailed Instructions: In this task, you are given a context paragraph, a question based on that and corresponding answer of a question. Your task is to generate supporting fact/knowledge from context paragraph which helps in answering a given question.
Q: Allegiant Air is an American low-cost airline that operates scheduled and charter flights. It is wholly owned by Allegiant Travel Company (NASDAQ: ALGT ), a publicly traded company with 3,700 employees and over $2.6 billion USD market capitalization. The corporate headquarters are in Summerlin, Nevada, a suburb of Las Vegas. Question: Robert L. Priddy - he comes from the United States and has founded a number of airline companies such as ValuJet or which American low-cost airline that operates scheduled and charter flights? Answer: Allegiant Air
A: | Allegiant Air is an American lowcost airline that operates scheduled and charter flights. | 9 | NIv2 | task192_hotpotqa_sentence_generation | zs_opt | [
-0.812681257724762,
0.9789758324623108,
0.1376188099384308,
-0.04848426580429077,
-0.05207844078540802,
0.4745483994483948,
0.522729754447937,
-0.0396086759865284,
0.21811443567276,
0.19500409066677094,
0.3172704577445984,
-0.040893442928791046,
-0.360435426235199,
-0.3371773660182953,
0... |
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 input is a sentence and the output is a list of triplets of the form [subject, predicate, object] that capture the relationships present in the sentence. When a sentence has more than 1 RDF triplet possible, the output must contain all of them.
Ex Input:
The Rice Boat is located in the city centre offering Italian food. It has a low customer rating and is not family-friendly.
Ex Output:
[['The Rice Boat', 'food', 'Italian'], ['The Rice Boat', 'customer rating', 'low'], ['The Rice Boat', 'area', 'city centre'], ['The Rice Boat', 'familyFriendly', 'no']]
Ex Input:
Robin Roberts is the pitcher for 1966 season with L decision and final score 2-3 against Los Angeles Dodgers
Ex Output:
[['Robin Roberts', 'SEASON', '1966'], ['Robin Roberts', 'DECISION', 'L'], ['L', 'FINAL_SCORE', '2-3'], ['Robin Roberts', 'OPPONENT', 'Los Angeles Dodgers']]
Ex Input:
As selected by Ernestine Carter, Michèle Rosier of V de V (coat), Young Jaeger (dress), Simone Mirman (hat), Elliott (boots), and John Bates for Echo (tights) are the designers for the dress of year 1966
Ex Output:
| [['1966', 'DESIGNER', 'Michèle Rosier of V de V (coat) Young Jaeger (dress) Simone Mirman (hat) Elliott (boots) John Bates for Echo (tights)'], ['[TABLECONTEXT]', 'YEAR', '1966'], ['1966', 'SELECTED_BY:', 'Ernestine Carter'], ['[TABLECONTEXT]', '[TITLE]', 'Dress of the Year']]
| 1 | NIv2 | task1410_dart_relationship_extraction | fs_opt | [
0.08363425731658936,
-0.06831387430429459,
-0.744800329208374,
0.41552942991256714,
0.11047456413507462,
-0.7403252124786377,
0.9981409311294556,
0.24087145924568176,
0.17937904596328735,
-0.33447226881980896,
-0.6339501142501831,
0.5799428224563599,
-0.29039132595062256,
0.221651062369346... |
Detailed Instructions: Given a sentence in French, generate a new French sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
See one example below:
Problem: Tomber amoureux, c'est comme manger un chocolat.
Solution: Tomber amoureux, c'est comme allumer un bar de vacances.
Explanation: This is a good change in the sentence, because it is semantically similar to the input as both are talking about falling in love and the created sentence follows the commonsense knowledge.
Problem: Vous achèteriez des fruits et légumes illimités parce que vous voulez les cuisiner vous-même.
Solution: | Vous autoriseriez les fruits frais et les cacahuètes parce que vous voulez les cuire vous-même. | 4 | NIv2 | task406_mickey_fr_sentence_perturbation_generation | fs_opt | [
-0.07058051973581314,
0.7369564771652222,
0.1713692843914032,
-0.12008976936340332,
0.14400404691696167,
-0.46603924036026,
0.6321856379508972,
0.36006683111190796,
-0.03860531002283096,
-0.31536224484443665,
-0.6447187662124634,
-0.3042379915714264,
-0.2785835266113281,
0.3074906766414642... |
This task is to translate a news commentary given in Italian language into Zhuang language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Example input: Cosa è andato storto nel 2008?
Example output: 2008年败在何处？
Example explanation: The translation is proper and the important numerical value is preserved.
Q: In realtà, la visita di un leader cinese in India è stata spesso preceduta da provocazioni simili. Nel 2006, ad esempio, poco prima della visita del Presidente Hu Jintao la Cina tornò ad avanzare pretese sul vasto stato nord-orientale dell'Arunachal Pradesh.
A: | 事实上，这样的挑衅行为在中国领导人访问印度前经常发生。事实上，2006年胡锦涛主席访问印度前夕，中国重新声称其对印度东北部大邦——阿鲁纳恰尔邦拥有主权。 | 3 | NIv2 | task1376_newscomm_translation | fs_opt | [
-0.8070340752601624,
0.1870618760585785,
-0.35009169578552246,
0.12124593555927277,
-0.6045022010803223,
-0.5356869697570801,
0.2742581069469452,
0.549142599105835,
-0.5337995886802673,
-0.22120323777198792,
-0.5520720481872559,
0.6197465658187866,
0.2289545089006424,
-0.12433192133903503,... |
Definition: Translate the given Spanish text to English
Input: (I) has a molecular wt.
Output: | DSM 2562, MICROCOCCUS SPEC. | 2 | NIv2 | task840_para_pdt_en_es_translation | zs_opt | [
0.46956363320350647,
0.9045755863189697,
-0.7636603713035583,
-0.5301886796951294,
0.058154959231615067,
-0.4934707283973694,
-0.21353593468666077,
0.08947284519672394,
0.2777271270751953,
0.3232612609863281,
-0.47938087582588196,
-0.2308199256658554,
0.21343687176704407,
-0.28359359502792... |
Detailed Instructions: You are given a target race, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-stereotype is an idea that goes against the widely held but oversimplified notion of a group of people. Sentences and targets are unrelated if there is no relevance between them.
Problem:Target: Bengali
have you ever been to Bengali?. Women are very opressed there.
Solution: | stereotype | 8 | NIv2 | task320_stereoset_classification_race | zs_opt | [
-0.2895995080471039,
0.2758258879184723,
0.06447701901197433,
0.16103598475456238,
0.0010642404668033123,
-0.5076526403427124,
0.5853725671768188,
0.5592473745346069,
0.3786677122116089,
-0.20438545942306519,
-0.7271538972854614,
-0.26539915800094604,
-0.5303037762641907,
0.109325677156448... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Galician.
Example Input: متوجه تفاوت می شید ؟
Example Output: Escoitan a diferenza?
Example Input: ضبط پیام صوتی: اولین پیام صوتی ذخیره شده
Example Output: Mensaxe de voz: primeira mensaxe de voz gardada
Example Input: وقتی این کار را انجام دادم ، در نهایت متوجه می شویم که کسانی که خیلی زیاد بازی رایانه ای می کنند ، خیلی خیلی سریع
Example Output: | Cando o facemos, atopamos que a xente que xoga a xogos de acción e moi, moi boa.
| 3 | NIv2 | task1270_ted_translation_fa_gl | fs_opt | [
-0.1794443130493164,
1.155405879020691,
-0.34455496072769165,
-0.09730803966522217,
-0.6537137031555176,
-1.084439992904663,
0.7328129410743713,
0.5487760901451111,
0.2978607416152954,
-0.33562010526657104,
-0.4869435429573059,
0.0075883809477090836,
-0.6363286375999451,
0.0754319205880165... |
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, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX may feel what is mentioned in the Tail or not. In this task, the feeling is an emotional reaction on the part of X or other participants in an event. For example, as a result of gift-giving, X might feel good about [one]self. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Example: Head: PersonX arrives home<sep>Tail: satisfied
Output: Yes
This is a good example. As a result of the Head, PersonX will feels satisfied.
New input case for you: Head: PersonX asks PersonY to say<sep>Tail: curious
Output: | Yes | 1 | NIv2 | task1203_atomic_classification_xreact | fs_opt | [
0.13945327699184418,
-0.29131218791007996,
0.5488957166671753,
0.050775133073329926,
-0.044720083475112915,
-0.8670524954795837,
0.9506956934928894,
0.43427973985671997,
-0.7241165637969971,
-0.017577555030584335,
-0.36745715141296387,
-0.38329392671585083,
-0.8071972131729126,
-0.09560193... |
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 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.
Sentence1: Rick grew up in a troubled household. Sentence2: He never found good support in family, and turned to gangs. Sentence3: It wasn't long before Rick got shot in a robbery. Sentence4: The incident caused him to turn a new leaf.
(A) He is happy now. (B) He joined a gang.
Solution: A
Why? As mentioned in fourth sentence, the incident turned a new leaf to Rick's life; so, he must be happy now.
New input: Sentence1: May was Harry's favorite month. Sentence2: Harry had his birthday in May and school also let out. Sentence3: Every May Harry would also go to the country to see his friend Mary. Sentence4: Mary and Harry got engaged eventually.
(A) Harry loved Mary. (B) Harry disliked Mary.
Solution: | A | 0 | NIv2 | task296_storycloze_correct_end_classification | fs_opt | [
0.623904824256897,
0.5979613065719604,
-0.16087526082992554,
0.11719439178705215,
0.05739980563521385,
-0.818861722946167,
0.29385676980018616,
0.5596563816070557,
-0.2777060866355896,
0.25536173582077026,
-0.5541710257530212,
-0.2729324400424957,
0.3345656096935272,
-0.14620165526866913,
... |
Q: In this task, you are given a hateful post in English from online platforms. You are expected to classify the post into two classes: aggresive or non-aggresive. An aggresive post is one that expresses feelings and opinions in an abusive way and tries to dominate others. Note that the URLs in the text have been replaced with [Link].
Post: @fraser_anning Leftwing filth.Deport them all.#Sendthemback
A: | Aggresive | 7 | NIv2 | task335_hateeval_classification_aggresive_en | zs_opt | [
-0.9867196083068848,
0.24733370542526245,
0.9453226923942566,
0.1296234279870987,
-0.4068145155906677,
-1.1538926362991333,
0.6880195140838623,
0.5478654503822327,
-0.12233933806419373,
0.4548259675502777,
-0.006202583201229572,
0.5594559907913208,
-0.8590689301490784,
-0.3348578214645386,... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish.
Q: 皆さんここは感覚的な部分ですよ
A: | I to jest ta zmysłowa część programu. | 4 | NIv2 | task1097_ted_translation_ja_pl | zs_opt | [
-0.4179913401603699,
-0.017103273421525955,
0.24007931351661682,
-0.609711766242981,
-0.0005457282532006502,
-1.2938497066497803,
1.037732720375061,
-0.829439640045166,
0.7216298580169678,
-0.565862238407135,
-0.048030704259872437,
0.48602285981178284,
-0.298822820186615,
0.551885008811950... |
Instructions: You will be given a person's personality, and a history of a conversation this person has had. You will be given four candidate sentences to complete the conversation, based on the context. Choose one and answer with the text.
Input: Personality: I have red hair.
I like to ride my scooter.
I don T like music.
I have lots of friends.
Chat history: -Hi, how are you? Tell me about you.
-I'm good! Well, I like hanging will all my friend. What do you like to do?
-I love to surf, and enjoy the snow.
-Do you like music?
-I do, I enjoy music when I am not working and saving all I can for college.
Candidates 1) Yeah. I lose my keys, my mind, my shoes, everything. 2) I love my 2 daughters, but I aint driving them around. 3) Sounds like you are busy. Me too, but I do not like music, waste of time. 4) Where are you from my man?
Output: | Sounds like you are busy. Me too, but I do not like music, waste of time. | 3 | NIv2 | task1730_personachat_choose_next | zs_opt | [
-0.47373926639556885,
0.5519105195999146,
-0.6188961267471313,
-0.42007726430892944,
-0.1853252351284027,
0.21367532014846802,
0.9812880754470825,
0.2144780158996582,
-0.02274271845817566,
-0.15611480176448822,
-0.23762696981430054,
-0.45252367854118347,
0.07503451406955719,
-0.36981311440... |
instruction:
In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Romanian language.
question:
Edit, again: The question seems to have changed, yet again.
answer:
Editează, din nou: Întrebarea pare să se fi schimbat, din nou.
question:
She was the only woman in her unit and a member of Teamsters Local 995.
answer:
Era singura femeie din departamentul său și era membră a Teamsters Local 995.
question:
Fierce clashes in east Syria as US pushes peace talks
answer:
| Ciocniri acerbe în estul Siriei în timp ce SUA încurajează tratative de pace
| 9 | NIv2 | task1436_ro_sts_parallel_language_translation_en_to_ro | fs_opt | [
-0.3864293098449707,
0.329881489276886,
0.2563466429710388,
-0.6414747834205627,
0.15154781937599182,
-0.4950120449066162,
0.22193589806556702,
0.8463521003723145,
0.5058445334434509,
0.4006287455558777,
-0.1304977834224701,
0.13588003814220428,
-0.6723223924636841,
0.020851602777838707,
... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi.
One example is below.
Q: Così diventa un igloo.
A: این یک خانه ی اسکیمو می شود.
Rationale: The Italian sentence is correctly translated into Farsi, because the meaning is preserved.
Q: I proprietari dei negozi assumono più personale.
A: | و چوپانان افراد بیشتری را استخدام کردند. | 9 | NIv2 | task1254_ted_translation_it_fa | fs_opt | [
0.19117307662963867,
0.6014072895050049,
-0.23729881644248962,
-0.40728121995925903,
0.04766730219125748,
-1.307918667793274,
0.8664346933364868,
0.19511151313781738,
0.19194185733795166,
-0.13542750477790833,
-0.605467677116394,
0.6505881547927856,
-0.7839410305023193,
0.3319542407989502,... |
Detailed Instructions: In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story incoherent / implausible by indicating 1 or 2 in the output. If both sentences are plausible, pick the one that makes less sense.
Problem:Beginning: Jim was disappointed to learn he had orders to an undesirable country. Middle 1: The orders needed an ordinary person to lead a project. Middle 2: The orders needed someone very experienced to lead a project. Ending: Jim had been in his position too short a time so he was able to stay.
Solution: | 1 | 8 | NIv2 | task070_abductivenli_incorrect_classification | zs_opt | [
-0.7186620831489563,
0.27912262082099915,
0.13101595640182495,
-0.5353540182113647,
-0.38345131278038025,
0.011122971773147583,
0.11630585789680481,
0.0943804532289505,
-0.05962992459535599,
-0.021420249715447426,
-0.9281996488571167,
-0.005756235681474209,
-0.34697800874710083,
-0.1650350... |
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 are expected to output 'Text one' if the first sentence is simpler. Otherwise output 'Text two'.
Problem:Text one: Originally made for the Apple II, they were later ported to other platforms.
Text two: Made for the Apple II, they were later ported to other platforms.
Solution: | Text two | 8 | NIv2 | task112_asset_simple_sentence_identification | zs_opt | [
-0.8393486738204956,
0.4721936881542206,
-0.10041327774524689,
-0.22183510661125183,
0.17276392877101898,
-0.44852960109710693,
0.32076704502105713,
0.5871384739875793,
0.11204084008932114,
0.11051180958747864,
-0.22759997844696045,
-0.10885615646839142,
-0.2742355465888977,
-0.05085515230... |
You are given a sentence in English. Your job is to translate the English sentence into Italian.
Example input: Why? Because that profit allows whatever solution we've created to be infinitely scalable.
Example output: Perché? Perché quel profitto fa sì che qualunque soluzione da noi creata sia infinitamente riproducibile su scala.
Example explanation: The English sentence is correctly translated into Italian, because the meaning is preserved.
Q: I've never seen anything like this.
A: | Non ho mai visto una cosa del genere. | 3 | NIv2 | task1091_ted_translation_en_it | fs_opt | [
-0.47650474309921265,
1.0233982801437378,
0.22428223490715027,
0.21692588925361633,
-0.5873884558677673,
-0.5352284908294678,
0.19517023861408234,
1.3009434938430786,
0.24372011423110962,
-0.004623891785740852,
-0.01684475690126419,
0.7351415157318115,
-0.6211596727371216,
0.14848518371582... |
Part 1. Definition
We would like you to assess the QUALITY of each of the following argument (discussing Death Penalty) and determine if the argument is Valid or Invalid. A valid argument is clearly interpretable and either expresses an argument, or a premise or a conclusion that can be used in an argument for the topic of death penalty. An invalid argument is a phrase that cannot be interpreted as an argument or not on the topic of death penalty.
Part 2. Example
The fact that you do not want to donate to these poor, needy people only shows me that you really do not care about the embryos
Answer: Invalid
Explanation: It is not an argument on the topic of death penalty.
Part 3. Exercise
Well I think that if someone commits a crime worthy of the death penalty they should get a sentence for life that way they can't be a repeat offender.
Answer: | Valid | 7 | NIv2 | task149_afs_argument_quality_death_penalty | fs_opt | [
0.4523860514163971,
0.3263082802295685,
0.4553452134132385,
0.10442957282066345,
-0.6488618850708008,
-1.9275360107421875,
0.7718636393547058,
0.2069638967514038,
-0.12039437890052795,
0.10317184031009674,
-0.6367589235305786,
-0.17378804087638855,
-0.6032769083976746,
0.5716541409492493,
... |
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 before t2, t1 occurs after t2, t1 doesn't occur after t2, t1 occurs between t2 and t3, t1 doesn't occur between t2 and t3, t1 occured before t2 but after t3, t1 occured after t2 but before t3, t1 didn't occur before t2 but after t3, t1 didn't occur after t2 but before t3'. The output should be either 'True' or 'False'.
[Q]: 12:39:03 occurs between 07:00:33 PM and 16:15:32
[A]: True
[Q]: 18:01:30 occured after 4:58:14 but before 07:24:28 PM
[A]: False
[Q]: 25 March 1997 occured after 04 August 1986 but before 21 Jun 2009
[A]: | True
| 5 | NIv2 | task1507_boolean_temporal_reasoning | fs_opt | [
0.019746240228414536,
0.015521075576543808,
-0.8090783357620239,
0.6829291582107544,
-0.6219533681869507,
-0.5529192686080933,
-0.02469545230269432,
0.8814047574996948,
-0.7293117642402649,
0.1398514211177826,
-0.3932129740715027,
0.017449093982577324,
-0.2696298062801361,
-0.5611510872840... |
Teacher:In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it, i.e., the proper nouns in the passage. Your job is to determine whether information from more than one term is needed to answer the question. Indicate your choice as `a` for Yes or `b` for No.
Teacher: Now, understand the problem? Solve this instance: Question: How many rooms are in the hotel named after Marienlyst Castle? Passage:Hans van Steenwinckel, the royal architect, designed and built the original pavilion and parterre garden in 1587, for King Frederick II of Denmark. The royal estate was then purchased in 1758 by Count Adam Gottlob Moltke, who completely changed the original pavilion and garden with the help of French architect Nicolas-Henri Jardin between 1759 and 1763. The additions led to its present-day architectural structure and façade. Jardin also redesigned the original parterre gardens, changing them to a larger, more modern garden à la française design, with symmetrical hedges, avenues, fountains and mirror ponds. Within the castle wall boundaries, these elegant garden grounds remain to a large extent intact, but outside, much of the garden has been lost, including the most renowned romantic landscape garden in Denmark, designed by Johan Ludvig Mansa in the 1790s. This was mostly due to the sale of much of the original property by the Helsingør municipality which had purchased the entire Marienlyst estate at auction in 1851. One of the lot purchasers was J.S. Nathanson, who in 1859 built Hotel Marienlyst, the first luxury hotel in Helsingør, named after the castle.
Student: | b | 6 | NIv2 | task232_iirc_link_number_classification | zs_opt | [
0.9961538314819336,
0.20018842816352844,
-0.40532445907592773,
-0.29771751165390015,
0.42801520228385925,
-0.6198462247848511,
0.749004065990448,
0.9042093753814697,
0.4343278408050537,
-0.09246256947517395,
-0.24109505116939545,
0.44896963238716125,
-1.40445876121521,
0.4103594422340393,
... |
Instructions: Given a sentence in Italian, generate a new Italian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Input: Alcuni mondi appaiono più vicini di altri nel cielo crepuscolare.
Output: | Alcune ore appaiono più vicine di altre nel cielo notturno. | 3 | NIv2 | task408_mickey_it_sentence_perturbation_generation | zs_opt | [
-0.6500059962272644,
0.9018921256065369,
-0.40196382999420166,
-0.33289793133735657,
-0.5729376077651978,
-0.2795116901397705,
0.2809672951698303,
1.2056288719177246,
-0.15098504722118378,
-0.5756450891494751,
-1.2497987747192383,
-0.02018880844116211,
-0.32764312624931335,
0.2476675510406... |
Given a prompt and four completions, select the completion that is the most plausible in continuing or answering the prompt. This task is designed to test common sense and has various categories ranging between idioms, negated statements, polysemy, subject referencing, and quantitative reasoning. Generate either Completion A, Completion B, Completion C, or Completion D.
--------
Question: Prompt: A girl sent her friend a text. She
Completion A: didn't actually have a friend.
Completion B: wished her a happy arbor day.
Completion C: sent an emoji.
Completion D: told her about the gun violence.
Answer: Completion C
Question: Prompt: His dad was supposed to call him. He
Completion A: fought his dad.
Completion B: waited for his mom to call.
Completion C: called after some time.
Completion D: was sending his dad a phone.
Answer: Completion C
Question: Prompt: The girl is as slow as a sloth. She
Completion A: takes a long time to run the mile.
Completion B: lives in the jungle.
Completion C: eats leaves.
Completion D: runs like a cheetah.
Answer: | Completion A
| 7 | NIv2 | task156_codah_classification_adversarial | fs_opt | [
0.38607335090637207,
0.6603015661239624,
-0.2673022449016571,
-0.513442873954773,
-0.593789279460907,
-0.8766847252845764,
0.7693431973457336,
0.42346426844596863,
-0.4439292550086975,
-0.27268871665000916,
-0.5402849316596985,
-0.4890249967575073,
-0.11191470921039581,
-0.0877478793263435... |
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A.
[EX Q]: 9, ['D', 's', '2997', 'V', '899', '1959', 'C', 'e', 'X', '3563', '8855', 'v', 'F', 'J', '9085', '893', 'r', '3203']
[EX A]: 3563, 8855, v, F, J, 9085, 893, r, 3203
[EX Q]: 1, ['m', '8841', 'X', 'U', 'D', '115', '7119', 'x', '3033', '3967', '8977']
[EX A]: 8841, X, U, D, 115, 7119, x, 3033, 3967, 8977
[EX Q]: 8, ['2007', '807', 'T', '6847', 's', 'c', 'W', '451', '4551', '3039', '5015', '8809', 'O', '7211', '9413', '8673', 'U', 'n', 'b', '9353', '4065', '2995', '603', 'Z', '3089', 'L', 'F', '7631']
[EX A]: | 4551, 3039, 5015, 8809, O, 7211, 9413, 8673, U, n, b, 9353, 4065, 2995, 603, Z, 3089, L, F, 7631
| 6 | NIv2 | task064_all_elements_except_first_i | fs_opt | [
-0.10563287138938904,
-0.09041284024715424,
-0.8121834993362427,
-0.3485870659351349,
-0.4711577892303467,
-0.4247760772705078,
0.6531780958175659,
0.5498799085617065,
-0.5375298857688904,
0.19221794605255127,
-0.7513986825942993,
-0.1603141725063324,
-0.15427719056606293,
-0.0062351636588... |
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 be different in terms of trigger words (e.g., "small" and "big") which express contrasting properties about the two objects. The answer must not be associated with the trigger word; instead, it should depend on the context present in twin sentences. Also, the answers should not be ambiguous. For each sentence, there should be an agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use animals and proper nouns (e.g., New York, Macbook, Jeff Bezos, McDonald's, ...) as your objects. Avoid repeating the same style or phrase in twin sentences. E.g., a contrasting sentence can always be created using simple negation i.e. by adding not, never, etc. Instead, try to increase diversity. Both twin sentences must contain at least 15 and at most 30 words. Twin sentences must have at least 70% overlapping words. You must utilize the given context word while writing the twin sentences. Each of the twin sentences must contain only one blank. Make sure that ObjectX and Y have the same number e.g. when ObjectX is singular, ObjectY must be singular, too. The two objects (ObjectX & ObjectY) should be used ONCE in each sentence. Here is a list of contrastive words that may be used as trigger words. You should create more such trigger words and use them in your twin sentences.
| Attribute | triggerword | contrastive triggerword |
| age | old | new |
| altitude | low | high |
| area | small | vast |
| brightness | dark | light |
| clarity | obscure | clear |
| cleanness | dirty | clean |
| complexity | simple | complex |
| cost | cheap | expensive |
| density | sparse | dense |
| depth | shallow | deep |
| distance | near | far |
| electric conductivity | low | high |
| flexibility | rigid | flexible |
| granularity | fine | coarse |
| hardness | soft | hard |
| length | short | long |
| magnitude | small | large |
| mass | small | large |
| odor | weak | strong |
| pressure | low | high |
| resistance | low | high |
| shape | round | sharp |
| shape | flat | spiky |
| size | small | large |
| sound | quiet | loud |
| sound pitch | low | high |
| speed | slow | fast |
| stability | unstable | stable |
| strength | weak | strong |
| temperature | low | high |
| texture | smooth | rough |
| thermal conductivity | low | high |
| thickness | thin | thick |
| volume | small | large |
| weight | light | heavy |
| width | narrow | wide |
| location | in | out |
| location | up | down |
| location | above | below |
| location | on | off |
| location | to | from |
One example: Context word: fit.
Solution is here: Sentence 1: The trophy doesn't fit into the brown suitcase because _ is too large.
Answer1: trophy.
Sentence 2: The trophy doesn't fit into the brown suitcase because _ is too small.
Answer2: suitcase.
Explanation: Here, the two objects are "trophy" and "suitcase". The trigger words are "large" and "small". Everything else (apart from the trigger words) are the same in the two sentences. The two sentences have different answers, which are the two objects ("trophy" and "suitcase").
Now, solve this: Context Word: tacos.
Solution: | Sentence 1: My mother made tacos today and burritos yesterday for lunch so the _ were fresher.
Answer1: tacos.
Sentence 2: My mother made tacos today and burritos yesterday for lunch so the _ were older.
Answer2: burritos. | 6 | NIv2 | task029_winogrande_full_object | fs_opt | [
0.495765745639801,
0.31324803829193115,
-0.01856820657849312,
-0.3409069776535034,
0.7574924826622009,
-0.7946184873580933,
0.46203792095184326,
1.1821024417877197,
-0.6609132289886475,
-0.3008522689342499,
-0.42312830686569214,
0.02075076475739479,
-0.4725446403026581,
-0.0892970636487007... |
Detailed Instructions: "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 your answer by 'Response 1' if the first response is correct, otherwise 'Response 2'. Note that a "Yes, and" does not require someone explicitly saying 'yes, and...' as part of a dialogue exchange.
Q: Prompt: You survived that hanging, you son of a bitch!
Response 1: Boy, I sure did. I just lost some of the mobility.
Response 2: I want to sign her, but she hasn't done anything that I haven't heard before. If she's got one piece of original material, I'd take her.
A: | Response 1 | 9 | NIv2 | task362_spolin_yesand_prompt_response_sub_classification | zs_opt | [
0.09985826909542084,
0.8957597017288208,
0.48821741342544556,
-0.48820817470550537,
0.23372459411621094,
-0.9476921558380127,
0.6084543466567993,
0.582902729511261,
-0.016113445162773132,
-0.34206435084342957,
-0.6234399676322937,
0.1300957053899765,
-0.922954261302948,
0.4674878716468811,... |
In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. The passage is unrelated if it does not convey a stereotype or anti-stereotype. You are expected to classify the passage into three classes: stereotype, anti-stereotype, and unrelated.
Example Input: Passage: My friends mother is nice. She is cooking a meal so it will be very tasty.
Example Output: Stereotype
Example Input: Passage: Norweigan people are mostly moose, ethnically.
Example Output: Unrelated
Example Input: Passage: People of ghanaian descent are seen as dangerous.
Example Output: | Stereotype
| 3 | NIv2 | task279_stereoset_classification_stereotype | fs_opt | [
0.24717378616333008,
0.27755269408226013,
-0.04883994534611702,
0.40397003293037415,
-0.13302433490753174,
0.052289679646492004,
0.49533283710479736,
0.9356420040130615,
0.06219947710633278,
-0.15193551778793335,
-0.6853752136230469,
-0.0011925306171178818,
-0.24308189749717712,
-0.2999101... |
Part 1. Definition
You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
Part 2. Example
Dzisiaj, w Szwecji i innych bogatych krajach ludzie używają mnóstwo najróżniejszych urządzeń.
Answer: Hoxe, en Suecia e outros países ricos, a xente usa moitas máquinas diferentes.
Explanation: The Polish sentence is correctly translated into Galician, because the meaning is preserved.
Part 3. Exercise
Mam tu starą książkę, z której chcę przeczytać fragment.
Answer: | Teño por aquí atrás un libro antigo e quería lerlles un anaco del. | 7 | NIv2 | task1261_ted_translation_pl_gl | fs_opt | [
-0.7500149011611938,
0.9887029528617859,
-0.43941569328308105,
-0.8414595127105713,
0.1088201254606247,
-0.6858699321746826,
1.290752649307251,
0.1485380232334137,
0.1757584810256958,
-0.1826789826154709,
-0.6234750151634216,
0.8538321256637573,
-0.3135068714618683,
0.08890429884195328,
... |
Q: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Portugese.
ここで必要なのはプラン B です
A: | E então o que precisamos é um plano B. | 7 | NIv2 | task1099_ted_translation_ja_pt | zs_opt | [
-0.30181676149368286,
0.37637245655059814,
-0.16430020332336426,
-0.5134655237197876,
-0.29098957777023315,
-0.161702960729599,
0.2053297758102417,
0.5919500589370728,
0.8796789050102234,
-0.5401420593261719,
-0.3818681240081787,
0.26864272356033325,
0.05377090722322464,
0.3455083072185516... |
Part 1. Definition
In this task, you are given a sentence in English, and your task is to translate it into Persian.
Part 2. Example
I heard enough of what she said to you last night to understand her unwillingness to be acting with a stranger;
Answer: دیشب شنیدم به تو چه میگفت. فهمیدم که دوست ندارد با یک غریبه این نقش را بازی کند.
Explanation: This is a good example. The above sentence is correctly translated from English to Persian.
Part 3. Exercise
and you know one should not like to have dear Sir Thomas, when he comes home, find all the varnish scratched off.;
Answer: | خب، ما هم که دلمان نمیخواهد وقتی سر تاماس برمیگردد ببیند همه چیز به قیژقیژ افتاده. | 7 | NIv2 | task661_mizan_en_fa_translation | fs_opt | [
0.5897936820983887,
1.434341549873352,
-0.08309829980134964,
0.09577403962612152,
0.03347616642713547,
-1.0341588258743286,
1.297215461730957,
0.25342172384262085,
-0.19037997722625732,
0.1787835657596588,
0.12502425909042358,
0.7759743332862854,
-0.7884111404418945,
-0.16778218746185303,
... |
Instructions: In this task you will be given a list of integers. You should only return an integer if the first digit is the same as the last digit in the number. If an integer has a single digit, then it should be returned. If there are no integers that start and end with the same digit then an empty list ("[]") should be returned.
Input: [-577, -395, -793, -714, 160, 110, 436, 65, 628, 939, -964, 861, 792, -340, 851, 314, 730, 393, -634, 266, 867]
Output: | [939, 393] | 3 | NIv2 | task372_synthetic_palindrome_numbers | zs_opt | [
-0.7535018920898438,
0.15054243803024292,
-0.36287757754325867,
-0.4108738899230957,
-0.18501654267311096,
0.39567098021507263,
0.8174693584442139,
0.06562323868274689,
-0.4856092631816864,
-0.29535919427871704,
-0.617938756942749,
0.06361609697341919,
-0.2228354960680008,
-0.4936274886131... |
In this task you will be given a string and you should find the longest substring that is a palindrome. A palindrome is a string that is the same backwards as it is forwards. If the shortest possible palindrome is length 1 you should return the first character.
Example input: gocogccocco
Example output: gocog
Example explanation: The substring 'gocog' is the longest possible substring that is also a palindrome. So this is a good example.
Q: ewweewekek
A: | ewwe | 3 | NIv2 | task850_synthetic_longest_palindrome | fs_opt | [
-0.4106155037879944,
0.5728273987770081,
0.08539774268865585,
-0.3491174578666687,
-0.13792602717876434,
-0.6288189888000488,
1.1389421224594116,
-0.24716803431510925,
-0.039705462753772736,
-0.1842356026172638,
-0.5747696161270142,
0.07015859335660934,
-0.49423539638519287,
0.147009193897... |
You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equally likely to fill the blank. There should be an agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use the names of real people (e.g., Donald Trump, Putin, etc.) in your question. Avoid repeating the same style, pattern, or phrases in each question, try to increase diversity by varying sentence structure, blank placement, etc. Your question must contain at least 15 and at most 30 words. You must utilize the given context word while writing the question. Your question must contain only one blank. Make sure that Person X and Person Y have the same gender. In your question, PersonX and PersonY should be used only ONCE and PersonX should appear earlier than PersonY.
Example: Context word: upset.
Example solution: PersonX yelled at PersonY because _ was so upset about the news.
Example explanation: As expected, PersonX and PersonY are mentioned only once in the question. It contains only one blank. Also, the expected answer to this question is PersonX. So, it's a valid question.
Problem: Context Word: Latin America.
| Solution: PersonX plans to go to Latin America next year were PersonY is currently living, _ has never been to Latin America. | 5 | NIv2 | task032_winogrande_question_generation_person | fs_opt | [
1.0224690437316895,
0.4148961901664734,
-0.0796828418970108,
0.22451969981193542,
0.011363383382558823,
-0.4796079993247986,
0.5060087442398071,
1.320896863937378,
-0.18180504441261292,
-0.7187302708625793,
-0.07521215081214905,
-0.11166084557771683,
-0.6142286062240601,
0.1001475825905799... |
Part 1. Definition
Given a document, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
Part 2. Example
Verify if the sentiment of the following document towards the entity Bill Clinton is Positive . Bill Clinton knows how to win friends and influence people. The former president is a master of reinvention — and the same talents that guided him into office have propelled him, more recently, into the stratosphere of Internet stardom.
Answer: yes
Explanation: Here the author of the document praises Bill for this ability to win friends. Hence the sentiment should be Positive and the answer is yes.
Part 3. Exercise
Verify if the sentiment of the following document towards the entity Bernie Sanders is Neutral . Bernie Sanders , it is often noted , has never met a free trade deal that he liked .
What I ca n't tell is whether Sanders simply does n't understand this , or does n't care .
Sanders : Well , if he thinks they 're bad trade deals , I agree with him .
With those last few words , Sanders has effectively written off trade with any country that is not already rich and prosperous -- which is simply inhumane .
It is one thing to argue that we should not do business with nations that actively manage or manipulate their currencies , as Sanders sometimes does , since exchange rates are supposed to be the market 's main mechanism for balancing trade .
Answer: | no | 7 | NIv2 | task423_persent_document_sentiment_verification | fs_opt | [
-0.6480797529220581,
0.2886585593223572,
0.307594358921051,
0.22844728827476501,
0.5356485843658447,
-0.5816168785095215,
0.7302470207214355,
0.3483605980873108,
0.1613466590642929,
0.7107727527618408,
-0.11718874424695969,
0.04023928940296173,
-0.2743086814880371,
-0.5282013416290283,
0... |
Detailed Instructions: In this task, you are given a Reddit post as a text. Your task is to generate a title for this text. The title should start with "TIFU by", followed by a situation that caused humor. The title should contain 7-12 words, ideally.
Problem:Text: one of my friends - let's call him j - was stoked to have his friends back at university with him, and he invited myself and some other friends - whom i'll refer to as p, a, and t - to play some games at his home and hang out before classes really start up. j makes a comment about how we should play risk because there were enough people to play a full game, and all of us were on board with the idea.
t rolls high enough to go first, and he slams a piece down on australia ^because he's a horrible person. j goes next, nestling down in iceland (europe). p is next, and he sets a piece down in north america. i set my first piece down in japan, and realizing a pattern - that all of us had set up shop in the sections of the map that matched the color of our game pieces - j comments that there's black portion on the map for a to put his pieces. he responded by saying that he'll just take africa, because his pieces are black. we all giggled like prepubescent schoolchildren and continued to place our pieces on the board.
the game starts, and t - who thought it was a brilliant idea to just hole up on australia^(because he's a terrible human being) and sweep through southeast asia to conquer europe - gets massacred. the meager amount of pieces he had in south america got taken down by p and thus, t's presence in the game of risk was no more.
j, realizing that p is a force to be reckonned with, starts his invasion of north america. a starts to infringe on both europe and asia in an attempt to reduce the number of extra troops j and i receive at the beginning of our turns, so the two of us came to the agreement that we would need to push a's troops back into africa while also whittling down p's forces. a's military proves strong, but we hold back his troops and p's army buckles under the weight of several terrible dice rolls.
at this point, j had his army spread too thin. a was putting on serious pressure and had managed to conquer south america. i shoveled troops into north america to prevent a from expanding anymore while j recovered in europe. at this point, it seemed like a simple task to just betray j and take all of europe for myself, but he propositioned me.
"jducalisson," he said. "the two of us, with our powers combined, can just swoop in and take all of africa! a has been getting too far! we need to kill all of the **redacted**!"
no idea whether or not tifu is tolerant of awful, awful racial slurs, so we'll just say that j suggested we killed all of the ninjas. yeah, *ninjas*.
t and p, who had been out of the game for a while now, heard this and started chanting "kill the ninjas, kill the ninjas." of course, j joined in with this chant, and a and i stared deep into each other's eyes until i too decided that all of the ninjas needed to die. so i joined in the chant.
after about a minute of chanting, i hear someone snickering, and i look to see j's father standing on the stairs filming us with a cell phone camera. when we turned around, he said "oh shit" and fled upstairs - with some pretty incriminating evidence should one of us ever commit any hate crimes, or blackmail, should one of us ever run for politcal office. that particular game of risk was promptly ended, and i don't think any of us have any plans on playing it again in the near future.
Solution: | TIFU by saying racist things while playing Risk. | 8 | NIv2 | task510_reddit_tifu_title_summarization | zs_opt | [
0.8227750658988953,
0.2516564428806305,
-0.4616193175315857,
-0.18680259585380554,
0.25714436173439026,
-0.3712783753871918,
1.187853217124939,
0.7438371777534485,
0.12649407982826233,
0.07475990056991577,
-0.11891191452741623,
0.07093386352062225,
-0.819370448589325,
-0.10632047057151794,... |
You will be given a definition of a task first, then some input of the task.
A text is given in English. Translate it from the English language to the Oriya language. The translation must not omit or add information to the original sentence.
And today, that satisfaction, that basic feeling of satisfaction is different for every human being.
Output: | 67 ଲକ୍ଷ ମାନବଦିବସ ରୂପରେ ପ୍ରତ୍ୟେକ୍ଷ ନିଯୁକ୍ତି ସୁଯୋଗ ସୃଷ୍ଟି ହେବ; | 1 | NIv2 | task987_pib_translation_english_oriya | zs_opt | [
-0.15309017896652222,
0.7893155813217163,
-0.09892874956130981,
0.10141621530056,
-0.2753005027770996,
-0.8972644805908203,
1.2621517181396484,
0.20622245967388153,
0.21774941682815552,
-0.10182463377714157,
-0.03579884395003319,
-0.4929533898830414,
-0.14871232211589813,
0.141310289502143... |
You will be given a definition of a task first, then some input of the task.
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
This printer has not caused my any troubles to this date. It's a quality little printer, as all HP products tend to be. The quality is good, but not great. This is an ideal printer for the casual user at home or office. The connection is USB, so the setup was easy. This printer also works well on my home network. If you need a good quality printer at a good price, the deskjet 825c would be an excellent choice.
Output: | Positive | 1 | NIv2 | task493_review_polarity_classification | zs_opt | [
-0.8275135159492493,
-0.3714287281036377,
-0.14983195066452026,
0.17816857993602753,
0.6543102264404297,
-0.2364087551832199,
0.5781465172767639,
0.3163565993309021,
0.7891311645507812,
0.8524242639541626,
-0.7742947936058044,
0.23559412360191345,
0.5962957739830017,
-0.5387935638427734,
... |
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 appearance, race, gender, and sexual orientation.
Comment: Some day you might have to come out of your tiny white bubble. Good luck. The US will be white minority by 2060 if you're still with us.
| Identity-attack | 5 | NIv2 | task325_jigsaw_classification_identity_attack | zs_opt | [
-1.0779650211334229,
1.0132697820663452,
0.5711573958396912,
0.4110659956932068,
-0.3413926362991333,
-0.0646764412522316,
0.38897705078125,
0.2090258151292801,
0.4953087866306305,
0.40287548303604126,
0.10483172535896301,
0.15337303280830383,
-0.4058740735054016,
-0.7062751650810242,
0.... |
In this task, you will be presented with a question in Persian. Based on the knowledge you need to answer the question, classify the question into "math_and_logic", "literature", or "common_knowledge".
Q: کدام یک از موارد زیر از جمله ملاکهای عملی و عینی مدیریت، محسوب نمی شود؟
A: common_knowledge
****
Q: در ادامه این رشته چه عددی باید نوشت؟ ۹۱،۸۶،۷۶،۶۱،...
A: math_and_logic
****
Q: گدام عبارت، از جنبه تاریخ ادبیات درست است؟
A: | literature
****
| 4 | NIv2 | task474_parsinlu_mc_classification | fs_opt | [
-0.9456229209899902,
0.7721234560012817,
0.489235520362854,
-0.8708232045173645,
-0.4077839255332947,
-0.3247034549713135,
0.2547222375869751,
-0.2417595237493515,
0.5609158873558044,
-0.6689159870147705,
-0.5419436693191528,
0.06303688883781433,
-0.5633129477500916,
0.22915494441986084,
... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
Zaczyna się rano, po przebudzeniu, i trwa cały dzień, aż zaśniesz, lub umrzesz lub inaczej staniesz się nieświadomy. | Comeza pola mañá cando acordamos dun sono sen soños e continúa ata que adormecemos, morremos ou quedamos inconscientes. | 0 | NIv2 | task1261_ted_translation_pl_gl | zs_opt | [
0.03134933486580849,
1.1244823932647705,
0.03897697478532791,
-1.1900423765182495,
-1.1781604290008545,
-0.8962738513946533,
0.8128162622451782,
0.4820529818534851,
-0.5444352030754089,
-0.4952423572540283,
-0.3457201421260834,
-0.040363989770412445,
-0.9325367212295532,
0.3050469756126404... |
In this task you are given a premise and two alternatives in Estonian 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.
Input: Consider Input: Puit läks pooleks.
(1)Ma kuhjasin puud kaminasse.(2)Ma lõin kirve puusse.
Output: 2
Input: Consider Input: Mees aimas meeskonna võitu ette.
(1)Ta sai oma sõpradega kokku, et mängu vaadata.(2)Ta vedas oma sõpradega kihla.
Output: 2
Input: Consider Input: Mees võttis münti.
(1)Ta huuled olid lõhenenud.(2)Ta muretses halva hingeõhu pärast.
| Output: 2
| 2 | NIv2 | task968_xcopa_commonsense_reasoning_et | fs_opt | [
-0.05472910776734352,
0.9232107400894165,
-0.36288943886756897,
-0.0021854557562619448,
-0.4876057505607605,
-0.3220304548740387,
0.4295161962509155,
0.9555649757385254,
0.3560341000556946,
0.3809185028076172,
-0.7893635034561157,
0.2323073446750641,
-0.37171506881713867,
0.214228928089141... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lists.
[[25, -86, 15, -46, -149, -185], [-75, 93, -83, 30, -129, -110, 89], [-88, -63, -166, 28], [-155, -147, -26, -162], [34, -55, -35, -8, -154, -116]]
Output: | [25, 93, 28, -26, 34] | 1 | NIv2 | task207_max_element_lists | zs_opt | [
0.12874901294708252,
-0.2545941472053528,
-0.9015523791313171,
0.6442563533782959,
0.40536606311798096,
0.27346736192703247,
0.5298933982849121,
-0.0411999337375164,
-0.004202117212116718,
0.08401310443878174,
-0.8221147060394287,
-0.20166639983654022,
-0.2677364647388458,
-0.3813001513481... |
Definition: In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the coreference link with gendered pronouns and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable.
Input: Sentence: The librarian stared at the CEO and asked him to leave.
Profession: librarian
Output: | Unidentifiable | 2 | NIv2 | task350_winomt_classification_gender_identifiability_pro | zs_opt | [
-1.100639820098877,
0.40277934074401855,
-0.34370702505111694,
-0.5291146636009216,
0.41212472319602966,
0.40393146872520447,
-0.28918927907943726,
0.6889520883560181,
0.597543478012085,
-0.15788176655769348,
-0.7753448486328125,
-0.13229335844516754,
-0.2939175069332123,
-0.37574082612991... |
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 their positions in the sentence order of the story; note that the selected choices may fit into the story at any point. Your answer must be in the form of '2a, 5b', where '2a' means the candidate sentence 'a' will be inserted as the 2nd sentence in the story. The answer must also be in the order of the selected choices, i.e., '2a, 5b' is allowed, and '5b, 2a' is not allowed. If options are equally plausible, pick the ones that make more sense.
Problem:Title: He walked to the kitchen. Then noticed a coupon on his fridge for pizza. John ate pizza for dinner. Choices: a. John called the pizza company. b. When we came back, the man had a paper towel trying to clean the box. c. John was at home thinking about what to eat.
Solution: | 4a, 1c | 8 | NIv2 | task222_rocstories_two_chioce_slotting_classification | zs_opt | [
0.18678423762321472,
0.4597746431827545,
-0.07471571862697601,
0.21109020709991455,
0.03845585137605667,
-0.029510371387004852,
0.08478312194347382,
0.7703124284744263,
-0.36822229623794556,
0.48198801279067993,
-0.12073707580566406,
0.117125004529953,
-0.18254709243774414,
-0.212850928306... |
In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
Q: What did Rajagriha serve as?, Context: Magadha (Sanskrit: मगध) formed one of the sixteen Mahā-Janapadas (Sanskrit: "Great Countries") or kingdoms in ancient India. The core of the kingdom was the area of Bihar south of the Ganges; its first capital was Rajagriha (modern Rajgir) then Pataliputra (modern Patna). Magadha expanded to include most of Bihar and Bengal with the conquest of Licchavi and Anga respectively, followed by much of eastern Uttar Pradesh and Orissa. The ancient kingdom of Magadha is heavily mentioned in Jain and Buddhist texts. It is also mentioned in the Ramayana, Mahabharata, Puranas. A state of Magadha, possibly a tribal kingdom, is recorded in Vedic texts much earlier in time than 600 BC. Magadha Empire had great rulers like Bimbisara and Ajatshatru.
A: | capital | 4 | NIv2 | task1295_adversarial_qa_question_answering | zs_opt | [
0.5720692276954651,
0.20072118937969208,
-0.4359253942966461,
-0.38939833641052246,
-0.4168820083141327,
-0.5655652284622192,
0.024458199739456177,
0.8894277811050415,
-0.29318079352378845,
-0.6238991022109985,
-0.8408738970756531,
-0.4647987186908722,
-0.7752871513366699,
0.15303981304168... |
Detailed Instructions: In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Q: Review: A beautiful new print of "Zabriskie Point" is playing in Paris and seems to be doing well in the Latin Quarter. It's time for a full evaluation of the film. Let's hope that the new print means that a DVD with some insightful "extras" will be out in the near future.I remember watching ZP when it came out and thought it was a crashing bore. This time around I was totally awed and would classify it as a "near-miss" masterpiece. The first part of the movie is a time capsule of late '60's Los Angeles, I lived there then, and Antonioni did a masterful job of capturing the essence of the place. Kudos to production designer Dean Tavoularis who found some incredible locations and did outstanding work.The print I saw runs 1 hour 50 minutes. It is forbidden to those under 16 (or 18, I can't remember). I suspect there is quite a bit of restored footage in this print. SPOILER -- I wonder how much of the desert sex scene was originally cut. What appears today seems rather tame by current standards.There is no soundtrack music until almost 1 hour into the film. Before we hear extraneous noise such as radio broadcasts, etc. Antonioni was very daring to do this. I remember how much was made at the time of the lack of acting skills of non-actors Mark Frechette and Daria Halprin. This time Frechette did not bother me. Halprin is weaker but gradually improves as the film continues.Much of the student riot footage looks like stock footage to me. One shot is in a different aspect ratio & distorted by the wide screen. Of course, there is actual staged footage, but not all that much.I'm still trying to figure out how Antonioni did some of the shots of Frechette flying the plane. It looks like he really did some of the flying - there's no blue screen or double in some shots.I hope to get back to see the film a second time. Recommended highly to all Antonioni fans. Question: is it a positive review?
A: | yes | 9 | NIv2 | task285_imdb_answer_generation | zs_opt | [
-0.006818464957177639,
-0.2571965157985687,
-0.37908846139907837,
0.37655097246170044,
0.1352420449256897,
0.122226282954216,
1.2644546031951904,
0.945932149887085,
0.03652297705411911,
0.0431041419506073,
-0.09284456819295883,
0.00827186368405819,
-0.5619771480560303,
-0.17010435461997986... |
Given the task definition and input, reply with output. You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
修士号を持つ数学教師は、予測ができる効果をあげますが
| Para os profesores de matemáticas o feito de ter un máster ten unha certa influencia. | 5 | NIv2 | task1095_ted_translation_ja_gl | zs_opt | [
-1.0898244380950928,
0.3484320044517517,
0.06736011803150177,
-1.6123719215393066,
0.3340325951576233,
-0.611787736415863,
0.20054589211940765,
0.20913967490196228,
-0.23002389073371887,
-0.6274648904800415,
-0.25768280029296875,
0.5969432592391968,
-0.4665568470954895,
0.09938490390777588... |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
Q: قضیه از این قرار بود که دو نفر از مأموران دولت به خانه پارک انجیلنویسان آمده بودند و ورقهای رسمی برای تفتیش در دست داشتند.
A: The facts were that two government agents had come to the house on the Park of the Evangels with a warrant,
****
Q: توی بازوان مهربانی که به رویش گشوده شده بود خزید.
A: feeling that the hungry longing was satisfied at last.
****
Q: آن پایین زیر صحنهی نمایش در میان اعضای ارکستر تنها زن جهان،
A: | Far down there in the orchestra circle was the one woman in all the world,
****
| 4 | NIv2 | task660_mizan_fa_en_translation | fs_opt | [
-0.24055399000644684,
0.6245340704917908,
-0.8116105794906616,
-0.062177874147892,
-0.8055970668792725,
-0.19184432923793793,
0.40858668088912964,
-0.3420974612236023,
0.4759264588356018,
-0.30553358793258667,
-0.3594910204410553,
0.37494924664497375,
0.11827433854341507,
0.374404698610305... |
Detailed Instructions: This task is about translating a given Yoruba language sentence to English.
Q: Àwọn agbábó̩ò̩lù ọwó̩-ẹ̀yìn ni Abdullahi Shehu, Leon Balogun, William Troost-Ekong àti Brian Idowu.
A: | The defenders selected are Abdullahi Shehu, Leon Balogun, William Troost-Ekong and Brian Idowu. | 9 | NIv2 | task1686_menyo20k_translation | zs_opt | [
-0.22339358925819397,
0.36052000522613525,
-0.06599389761686325,
-0.7571955919265747,
-0.13110792636871338,
0.2764417231082916,
0.18678149580955505,
0.18797685205936432,
0.5735815763473511,
-0.3269123435020447,
-0.5463875532150269,
-0.0912170335650444,
-0.46433132886886597,
0.1610552519559... |
In this task, you're given a question, along with a context passage. The passage will not have a direct answer to the question, but can include some information and a clue for the answer. Assuming you can only obtain information about one entity in the passage, your job is to determine whether information from the passage can be used to answer the question. Indicate your choice as `a` for Yes or `b` for No.
Q: Question: What year did Davidson's first novel win the Gold Dagger award? Passage:When the war ended, he returned to the Keystone Agency and travelled all over Europe as a freelance reporter. It was during one of these trips that he came up with the idea for his first thriller, The Night of Wenceslas (1960). The novel is set in Czechoslovakia during the Cold War, and tells the story of young Nicolas Whistler, a 24-year-old Londoner whose business trip to Prague goes horribly awry. The Night of Wenceslas was an instant success, inviting favourable comparisons with such luminaries as Eric Ambler. Davidson became one of the handful of living writers to have their first novel appear in a green Penguin jacket. The book won the Crime Writers' Association's Gold Dagger Award (the top prize for crime and spy fiction in Britain) as well as the Authors' Club First Novel Award. It was filmed as Hot Enough for June (1964), with Dirk Bogarde in the role of Whistler.
A: | b | 4 | NIv2 | task233_iirc_link_exists_classification | zs_opt | [
0.7864265441894531,
0.6355398893356323,
-0.1019182950258255,
0.11195346713066101,
0.05840650945901871,
-0.43493950366973877,
0.8576462864875793,
0.552248477935791,
0.6270169615745544,
0.08092469722032547,
-0.13505549728870392,
-0.19164064526557922,
-0.8298128843307495,
-0.4343435764312744,... |
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 input is a sentence and the output is a list of triplets of the form [subject, predicate, object] that capture the relationships present in the sentence. When a sentence has more than 1 RDF triplet possible, the output must contain all of them.
Fitzbillies is a child friendly Italian coffee shop in the city centre - just don't forget your wallet.
[['Fitzbillies', 'eatType', 'coffee shop'], ['Fitzbillies', 'food', 'Italian'], ['Fitzbillies', 'area', 'city centre'], ['Fitzbillies', 'familyFriendly', 'yes']]
Californian born Julia Morgan designed the Asilomar Conference Grounds and other significant buildings including Asilomar State Beach.
[['Asilomar Conference Grounds', 'ARCHITECT', 'Julia Morgan'], ['Julia Morgan', 'BIRTH_PLACE', 'California'], ['Julia Morgan', 'SIGNIFICANT_BUILDING', 'Asilomar State Beach']]
William Anders served as a crew member on Apollo 8.
| [['William Anders', 'WAS_A_CREW_MEMBER_OF', 'Apollo 8']]
| 0 | NIv2 | task1410_dart_relationship_extraction | fs_opt | [
-0.055539362132549286,
-0.21766896545886993,
-0.9481974840164185,
-0.2611880600452423,
-0.31239575147628784,
-0.09146929532289505,
0.3940679430961609,
0.4674685001373291,
-0.21019509434700012,
0.09328170120716095,
-0.03124404326081276,
0.3325060307979584,
-0.14116595685482025,
0.1589373052... |
In this task, you are given a sentence in the Hindi language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
One example is below.
Q: 2007 में फ़्रांस, पेरिस के पार्क डेस प्रिंसेस में हुए रग्बी विश्व कप के पूल C में इटली ने पुर्तगाल को 31-5 से हराया।
A: Italy have defeated Portugal 31-5 in Pool C of the 2007 Rugby World Cup at Parc des Princes, Paris, France.
Rationale: The Hindi sentence is correctly converted into English because the converted sentence holds the message that Italy defeated Portugal 31–5 in Pool C of the 2007 Rugby World Cup at the Parc des Princes in Paris, France. Also, translated sentence preserves the numbers as it is and converted sentence is sentence case.
Q: 7.7 की तीव्रता के साथ एक पानी के नीचे भूकंप ने घातक लहर को गति दी, जिसने जावा के दक्षिणी तट पर 200 किमी की दूरी तय की।
A: | An underwater earthquake with a magnitude of 7.7 triggered the deadly wave which ravaged a 200km stretch of Java's southern coast. | 9 | NIv2 | task433_alt_hi_en_translation | fs_opt | [
-0.0016130732838064432,
0.9128819704055786,
0.06407636404037476,
0.34833335876464844,
0.21093019843101501,
-0.6155351996421814,
-0.37390899658203125,
0.770237147808075,
-0.30897483229637146,
-0.087110735476017,
-0.5178744792938232,
0.45911139249801636,
0.026074454188346863,
0.2068005502223... |
You are given a sentence in English. Your job is to translate the English sentence into Polish.
Let me give you an example: It's sort of the biggest TiVo box you've ever seen.
The answer to this example can be: To największa nagrywarka, jaką w życiu widzieliście.
Here is why: The English sentence is correctly translated into Polish, because the meaning is preserved.
OK. solve this:
But it's a kind of indirect argument.
Answer: | Ta pośrednia argumentacja | 8 | NIv2 | task1092_ted_translation_en_pl | fs_opt | [
-0.3071332275867462,
0.5579541921615601,
0.6796668767929077,
0.6221306324005127,
0.3683372139930725,
-0.7320836186408997,
0.5611895322799683,
-0.7373961210250854,
-0.1056433618068695,
0.2555030882358551,
0.44390419125556946,
0.28153058886528015,
-0.955162763595581,
0.3696131706237793,
-0... |
TASK DEFINITION: Write a correct answer to the given question based on its associated fact. Make sure that your answer is contained in the associated fact. Don't be creative and introduce any new word that is not mentioned in the associated fact! Remember that the associated fact has been rearranged to form the question. So, the correct answer words must lie within the associated fact. The correct answer can be a word, phrase, or even a sentence.
PROBLEM: Fact: Desertification implies soil deposition.
Question: Desertification implies what?
SOLUTION: soil deposition.
PROBLEM: Fact: diatomes have varied life cycles.
Question: what have varied life cycles?
SOLUTION: diatomes.
PROBLEM: Fact: Sea tigers must adapt to the salt in the water.
Question: What animal must adapt to salt water?
SOLUTION: | Sea tiger.
| 8 | NIv2 | task041_qasc_answer_generation | fs_opt | [
0.6505981087684631,
0.48962289094924927,
-0.5055930018424988,
-0.2577347159385681,
-0.6692036390304565,
-1.0792880058288574,
0.9470261931419373,
0.2477150410413742,
0.025351084768772125,
-0.11810563504695892,
-0.27774035930633545,
0.33345314860343933,
-0.9529480338096619,
0.451345801353454... |
The input is a tweet which can be classified as Hate Speech, Offensive or Normal. Given such a tweet, output the class the tweet belongs to. Hate Speech will contain threatening language towards the community targeted. Offensive language will contain abusive or discriminatory language towards the community targeted.
One example is below.
Q: cowardly actions by the pussy brits men let their women be gangraped by moslim animals should change countrys name to cuckland
A: Hate Speech
Rationale: This tweet targets Muslim community in a violent context. Hence this is Hate Speech.
Q: that cuck faggot jack dorsey entire account is sucking up to niggers what a bitch he is
A: | Hate Speech | 9 | NIv2 | task1502_hatexplain_classification | fs_opt | [
-0.7262933850288391,
0.7697188854217529,
0.3408087491989136,
0.4902985990047455,
-0.1320316195487976,
-1.1908738613128662,
-0.19915854930877686,
0.3425728678703308,
0.39261341094970703,
0.49597620964050293,
-0.3415159583091736,
-0.15913768112659454,
-0.47575604915618896,
-0.951751589775085... |
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'.
Example input: Dialogue 1: 'when did i called u ugly pony when did you ever call fuck u ur rlly a mad person asshole rnda bc'. Dialogue 2: 'go to dhapar math do sl maths a lot of places don't like maths studies it's amazing'.
Example output: no
Example explanation: The first dialogue is an angry dialogue and the second dialogue is a happy dialogue. Therefore, they are not the same emotion so the output is 'no'. So this is a good example.
Q: Dialogue 1: 'is the following word spelled correctly winnipusakee awkward edit i had to spell check that three times just to be sure what is your favorite vegetable'. Dialogue 2: 'what u try brinjal fry try dont irritate me'.
A: | no | 3 | NIv2 | task518_emo_different_dialogue_emotions | fs_opt | [
-0.575346827507019,
0.44258540868759155,
0.5960696935653687,
-0.6260783672332764,
-0.5211427211761475,
0.2602075934410095,
0.9185078144073486,
-0.2906167805194855,
-0.3392069339752197,
-0.374432772397995,
0.13690823316574097,
-0.2494753897190094,
-0.4299066662788391,
0.24456053972244263,
... |
Detailed Instructions: In this task, you are given concept set (with 3 to 5 concepts) that contain mentions of names of people, places, activities, or things. These concept sets reflect reasonable concept co-occurrences in everyday situations. All concepts given as input are separated by "#". Your job is to generate a sentence describing a day-to-day scene using all concepts from a given concept set.
Q: boat#couple#moor
A: | a couple of narrow boats moored | 9 | NIv2 | task102_commongen_sentence_generation | zs_opt | [
0.5096808671951294,
-0.054048217833042145,
-1.1103718280792236,
-0.3165706694126129,
-0.0659792497754097,
-1.220372200012207,
0.8352668285369873,
0.8046796321868896,
-0.38032740354537964,
-0.25498658418655396,
-0.21650007367134094,
0.0629822164773941,
0.068244069814682,
-0.0250010229647159... |
In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. The passage is unrelated if it does not convey a stereotype or anti-stereotype. You are expected to classify the passage into three classes: stereotype, anti-stereotype, and unrelated.
Q: Passage: Sierra Leone is named after an explorer. Its diamond industry is well regulated and a very fair market.
A: | Anti-stereotype | 4 | NIv2 | task279_stereoset_classification_stereotype | zs_opt | [
0.006868427153676748,
0.6130197048187256,
-0.4562693238258362,
0.046676479279994965,
-0.5289164185523987,
0.2573000192642212,
0.1103079617023468,
0.7348148226737976,
-0.3438177704811096,
-0.2628991901874542,
-0.019537027925252914,
0.20901519060134888,
-1.2213728427886963,
-0.14917257428169... |
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.
Example Input: Comment: At least these scholars are thinking for themselves, not something that is encouraged much in our schools - but should be. Issues such as this should be up for debate in every school in the country not give rise to disciplinary hearings. Nevertheless it is a mystery firstly why the EFF find it necessary to resort to threats of violence in a matter that involves school children and secondly why anyone would report the comments of Kevin Pietersen who time and again has shown himself to be nothing but a disruptive twat who is unable to exercise any rational judgment before opening his trap.
Example Output: Non-threat
Example Input: Comment: Some pedestrians deserve to be run over and crushed!. You know who you are.....and please don't accuse me of making irresponsible comments. My comment is directed at those of you who take about two weeks to cross the street - while texting or talking on the phone or daydreaming. You keep the cars waiting and u back up traffic while you take your time to stroll across the road.
I have no sympathy or empathy.
Example Output: Threat
Example Input: Comment: Sure you will find your peace. Blow yourself up, get 72 virgins; you won't care where you're buried. Just be sure to kill innocent women and children, like a good and true muslim, for extra special afterlife accommodation.
Example Output: | Threat
| 3 | NIv2 | task322_jigsaw_classification_threat | fs_opt | [
-0.33241990208625793,
0.28188377618789673,
0.9927559494972229,
-0.1704850196838379,
0.2927488088607788,
-0.2971290051937103,
0.6806368827819824,
0.7627930641174316,
-0.09505941718816757,
0.30600112676620483,
0.49922609329223633,
0.3640429377555847,
-0.6149397492408752,
-0.684760570526123,
... |
In this task, the input is a set of dialogues between a user and an assistant. You need to find the dialogue that is basically a response given to a question or an aspect of the user.
Example Input: That is very interesting, anything else?
Sure! The word Gambia comes from the term "Kambra/Kambaa" which means Gambia river
My pleassure! Enjoy the rest of your dat.
Oh interesting, can you tell me anything else about the Etymology?
Very cool. How is the economy there?
Example Output: Sure! The word Gambia comes from the term "Kambra/Kambaa" which means Gambia river
Example Input: In May 2015 , the Government of Kerala decided to expand City Corporation of Kollam by merging Thrikkadavoor panchayath.
You too.
Thank you. Do you know anything about Kollam's demographics?
I do not have anymore information on tourist destinations. However I can tell you that Kollam 's Ashtamudi Lake clam fishery was the first Marine Stewardship Council certified fishery in India.
You're welcome, have a good night!
Example Output: In May 2015 , the Government of Kerala decided to expand City Corporation of Kollam by merging Thrikkadavoor panchayath.
Example Input: any special facts you acn share
Paris, nicknamed the City of Light, is the capital of France and the its largest city. Paris has about 2.15 million people living there. But, if you include the suburbs, the population of Paris area rises to 12 million people.
You're welcome.
What is the native language?
No, I don't have any etymology info available to me right now and I also can not tell you about religious affiliations because the French census data does not contain that information.
Example Output: | Paris, nicknamed the City of Light, is the capital of France and the its largest city. Paris has about 2.15 million people living there. But, if you include the suburbs, the population of Paris area rises to 12 million people.
| 3 | NIv2 | task576_curiosity_dialogs_answer_generation | fs_opt | [
-0.042198121547698975,
0.6173431277275085,
-0.20396721363067627,
-0.9748232960700989,
-0.13589608669281006,
-0.5179080367088318,
0.6577644348144531,
0.35462287068367004,
-0.5334089398384094,
0.0506640262901783,
-0.6826125979423523,
-0.020282726734876633,
-0.7923011779785156,
-0.24040037393... |
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.
--------
Question: please sent please get the fuck outta here bitch
Answer: angry
Question: something well what is that something u are boy or girl
Answer: other
Question: you don't have mind it's weird but no facewithtearsofjoy facewithtearsofjoy facewithtearsofjoy facewithtearsofjoy
Answer: | happy
| 7 | NIv2 | task517_emo_classify_emotion_of_dialogue | fs_opt | [
-0.6941931843757629,
0.4073266386985779,
0.35373350977897644,
-0.6558295488357544,
0.053407516330480576,
-0.7725716829299927,
0.44684693217277527,
0.27686363458633423,
0.9199782609939575,
-0.021414730697870255,
-0.4393383860588074,
0.359536349773407,
-0.46646615862846375,
-0.39626631140708... |
In this task, you are given dialogue, and you have to find the most critical location in the given conversation.
Q: Hello. Can you tell me about Kosovo and its "Etymology"?
Originally, Kosovo had the dual name of "Kosovo and Metohija". The second half was dropped `in 1968.
Interesting. I would like to know a little bit about the Etymology.
In 1990, the province was renamed the Autonomous Province of Kosovo and Metohija.
What about their infrastructure?
Pristina does not have any regional hospital and instead uses University Clinical Center of Kosovo for health care services.
Do you have any other information about their infrastructure?
There are 13 family medicine centres and 15 ambulatory care units.
Interesting. Is there anything else you can share with me at this time?
Education on all levels is primarily public, supported by the state, and run by the Ministry of Education.
Thank you very much for this interesting dialogue.
You're welcome!
A: | Kosovo | 4 | NIv2 | task578_curiosity_dialogs_answer_generation | zs_opt | [
0.5141432285308838,
0.6722465753555298,
0.15125972032546997,
-0.616009533405304,
-0.006930334493517876,
-0.7426918745040894,
1.2024648189544678,
0.09529159963130951,
0.2519824504852295,
-0.19572418928146362,
-0.12396951764822006,
0.4602479338645935,
-0.9345577359199524,
0.40237146615982056... |
You will be given one or more triples. The second part of each triple shows the relation between the first and the third element. Your task is to write a simple and short piece of text (sentence(s)) that describes the triples in natural language.
One example: Amsterdam_Airport_Schiphol | runwayName | "09/27 'Buitenveldertbaan'"
Solution is here: Amsterdam Airport Schipol runway name is 09/27 Buitenvelderbaan.
Explanation: The simplest form of input is a single triple. Here the text describes the relationship in natural language.
Now, solve this: Arrabbiata_sauce | ingredient | Tomato
Tomato | order | Solanales
Tomato | family | Solanaceae
Solution: | Tomato, from the family of solanaceae, is a key ingredient in an Arrabbiata sauce. | 6 | NIv2 | task1728_web_nlg_data_to_text | fs_opt | [
-0.4433709979057312,
0.8168662190437317,
-0.48686307668685913,
-0.46789905428886414,
-0.5070635080337524,
0.029198994860053062,
1.042885184288025,
0.181237131357193,
-0.2504194974899292,
0.03476787731051445,
-0.2568989098072052,
1.0123614072799683,
-0.22073127329349518,
-0.1054359823465347... |
Detailed Instructions: In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given two options and you need to select the one that best connects the first sentence with the rest of the story. Indicate your answer by 'Option 1' if the first option is correct, otherwise 'Option 2'. The incorrect option will change the subsequent storyline, so that at least one of the three subsequent sentences is no longer consistent with the story.
Q: Sentence 1: Andrea wanted to go on the school trip.
Sentence 3: She took the test that morning
Sentence 4: While she waited for the results, she was so anxious
Sentence 5: Finally, the results were posted and saw that she had passed
Option 1: In order to go, she had to write an essay and present it to the class.
Option 2: In order to go, she had to pass a history test.
A: | Option 2 | 9 | NIv2 | task065_timetravel_consistent_sentence_classification | zs_opt | [
-0.5165361762046814,
0.6308566331863403,
0.3625256419181824,
0.049447789788246155,
-0.14662161469459534,
-0.21800129115581512,
0.44561466574668884,
1.1665548086166382,
-0.03915642574429512,
0.19225946068763733,
-0.09684012830257416,
-0.7779803276062012,
0.1144825667142868,
-0.2834975123405... |
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.
Q: name[xname], eattype[coffee shop], price[high], rating[3 out of 5], location[city centre], familyFriendly[yes], near[xnear]
A: There is an expensive coffee shop in xnear near city center. xname is kid friendly and rated at 3 out of 5 stars.
****
Q: name[xname], recommend[yes], cuisine[Latin American], decor[bad], qual[acceptable], location[Midtown East], price[expensive], service[acceptable]
A: Since xname is a Latin American restaurant and expensive. It is in Midtown East with satisfying food, friendly service and mediocre decor, I would consider it.
****
Q: name[xname], recommend[yes], qual[good]
A: | xname is the best restaurant with good food.
****
| 4 | NIv2 | task1598_nyc_long_text_generation | fs_opt | [
-0.2793673574924469,
0.04041795805096626,
-0.6633819341659546,
-0.3678174614906311,
-0.27485930919647217,
0.5908362865447998,
0.6266661882400513,
0.7455326914787292,
0.15901410579681396,
-0.3166966140270233,
0.7400463819503784,
-0.09372356534004211,
-0.5481494665145874,
-0.0570526011288166... |
In this task you will be given a list of integers. You should remove any integer that is not prime. A prime integer is an integer that is only divisible by '1' and itself. The output should be the list of prime numbers in the input list. If there are no primes in the input list an empty list ("[]") should be returned.
[938, 379, 803, 942, 116, 27, 827, 356, 149, 466, 61, 13, 257, 623, 929, 694, 60, 163, 67] | [379, 827, 149, 61, 13, 257, 929, 163, 67] | 0 | NIv2 | task366_synthetic_return_primes | zs_opt | [
-0.2141009420156479,
0.15857669711112976,
-0.21881036460399628,
-0.34615474939346313,
0.08608269691467285,
-0.04936092346906662,
0.6692800521850586,
0.6508082151412964,
-0.3321167230606079,
0.3318662643432617,
-1.123430848121643,
-0.7177340984344482,
-0.324357271194458,
-0.6083763837814331... |
Q: Given a 'poster' sentence and a corresponding 'response' (often, from Facebook or Reddit)classify the sentiment of the given response into four categories: 1) Positive, 2) Negative, 3) Neutral, and 4) Mixed if it contains both positive and negative.
Poster: THEN & NOW: #BobbyRiggs & me at Battle of the Sexes presser in 1973; #SteveCarrell and #EmmaStone as us, filming now! Responser: I was at Mount Holyoke College (all women). The campus and town went crazy. I'll never forget that. Thanks. Glad they are making a movie.
A: | Positive | 7 | NIv2 | task823_peixian-rtgender_sentiment_analysis | zs_opt | [
-0.6944535970687866,
0.11428633332252502,
0.22384051978588104,
0.05470160022377968,
0.6917585730552673,
-0.6948358416557312,
0.3195761442184448,
0.8089325428009033,
1.179343342781067,
0.07407795637845993,
0.0354621522128582,
-0.12631267309188843,
0.07614342868328094,
-0.573621392250061,
... |
In this task, you are given a question, and your task is to predict the context of the question. We assume that someone named X asked the question from Y. The context of the question means the previous situation that led X to ask this question.
Q: Do you workout?
A: | X wants to know what activities Y likes to do during weekends. | 4 | NIv2 | task567_circa_text_generation | zs_opt | [
-0.0886361226439476,
0.8349679708480835,
-0.824275016784668,
0.3677936792373657,
-0.4943481683731079,
0.43321120738983154,
0.14874841272830963,
0.2677130699157715,
0.36853140592575073,
-0.6267387866973877,
-1.4132449626922607,
-0.2853032648563385,
-0.716123640537262,
0.30638396739959717,
... |
Detailed Instructions: Given a sentence in German, generate a new German sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
See one example below:
Problem: Sie verwenden den Behälter, um Kohlenstoff zur Anlage zu transportieren.
Solution: Sie arrangieren den Behälter, um Wasser an die Anlage zu versenden.
Explanation: This is a good example of a change in the input. The created sentence is semantically similar to the input as both are talking about giving water/carbon to a plant and the changes in the sentence follows the commonsense knowledge.
Problem: Ein Ohr kann Schallwellen hören.
Solution: | Ein Alog kann Schallwellen werfen. | 4 | NIv2 | task416_mickey_de_sentence_perturbation_generation | fs_opt | [
0.10408073663711548,
0.7046326398849487,
-0.07106509059667587,
-0.33638501167297363,
-0.03701505437493324,
-0.9410400986671448,
0.5341773629188538,
0.9187465906143188,
0.35290318727493286,
0.08127404749393463,
-0.16667652130126953,
-0.07462647557258606,
-0.9621001482009888,
0.1903675645589... |
Definition: In this task, you need to answer the given multiple-choice question on the gain. Gain is the value by which to multiply the input. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Input: Problem: by selling an article at rs . 800 , a shopkeeper makes a profit of 25 % . at what price should he sell the article so as to make a loss of 50 % ?
Options: a ) s . 429 , b ) s . 480 , c ) s . 320 , d ) s . 128 , e ) s . 419
Output: | c | 2 | NIv2 | task1419_mathqa_gain | zs_opt | [
-0.10474139451980591,
0.2695896029472351,
-0.3003310561180115,
0.34394168853759766,
-0.2590714395046234,
0.22908467054367065,
0.23001576960086823,
0.9464585781097412,
-0.039559200406074524,
0.1816243976354599,
-1.04579758644104,
0.38435110449790955,
-0.9832655191421509,
-0.0995056182146072... |
In this task, you are given a sentence in English, and your task is to translate it into Persian.
that he had lived centuries, so far behind were the old life and outlook.
که از صدها سال پیش زندگی میکرده است و فاصلهی زندگی و طرز فکر سابقش با او بسیار زیاد شده است.
when they woke with a headache, without danger of reprobation, because chapel was missed, they would have jumped with joy and envy.
اگر فکر میکردند به خاطر نرسیدن به دعای نمازخانه کسی سرزنششان نمیکند، مسلما با نشاط و طراوت بیشتری از خواب بیدار میشدند.
just chilled by she sea breeze to refreshing coolness,
| که تازه نسیم دریا به سویش وزیدن گرفته بود و خنکایی نشاطبخش با خود میآورد،
| 0 | NIv2 | task661_mizan_en_fa_translation | fs_opt | [
0.07211901247501373,
1.0994306802749634,
-0.5486599206924438,
-0.26436418294906616,
-0.4326627850532532,
-0.5994839668273926,
1.3223516941070557,
0.5911410450935364,
-0.1805027425289154,
-0.004444218706339598,
-0.3218153119087219,
0.4636971354484558,
-1.1946877241134644,
0.4398098289966583... |
You will be given a sentence that describes a restaurant. You will also be given a few categories of information regarding that sentence. Your task is to fill each of the categories with the appropriate information from the sentenece.
[EX Q]: Sentence: xname is a French food place near xnear. It has an average customer rating and is family friendly. ; Categories: rating, cuisine, familyFriendly
[EX A]: rating[average], cuisine[French], familyFriendly[yes]
[EX Q]: Sentence: xname' is a coffee shop with moderate price range selling English food that is child-friendly. It is near xnear and has a customer rating of 1 out of 5. ; Categories: rating, eattype, cuisine
[EX A]: rating[1 out of 5], eattype[coffee shop], cuisine[English]
[EX Q]: Sentence: xname is child friendly and is in the riverside area. It has a customer rating of 1 out of 5. ; Categories: location, familyFriendly, rating
[EX A]: | location[riverside], familyFriendly[yes], rating[1 out of 5]
| 6 | NIv2 | task1597_nyc_slot_filling | fs_opt | [
-0.17202620208263397,
-0.30736643075942993,
-0.47315657138824463,
-0.24803578853607178,
0.2528012692928314,
-0.01078804675489664,
1.0036637783050537,
1.092179536819458,
0.1957513988018036,
-0.08712983876466751,
0.6472360491752625,
-0.13935720920562744,
-0.5472132563591003,
-0.2777732610702... |
Detailed Instructions: In this task, you are given one English sentence. The major part of the sentences talk about health-related topics, but some of the them describe an organization and its activities. Your job is to translate the given sentences into Swedish.
See one example below:
Problem: The 3 week course is structured around main pillars:
Solution: Treveckorskursen är uppbyggd kring tre pelare:
Explanation: The translation is correct
Problem: Babesiosis is an illness caused by a parasite of the Babesia spp ., which infects and destroys the red blood cells.
Solution: | Sjukdomen babesios (kallas även piroplasmos) orsakas av en parasit, babesia ( Babesia spp ), som infekterar och förstör röda blodkroppar. | 4 | NIv2 | task1395_europa_ecdc_tm_en_sv_translation | fs_opt | [
-0.1560066044330597,
0.4365961253643036,
-0.5063091516494751,
-0.9886596202850342,
-0.27698829770088196,
-0.25042957067489624,
0.9384555816650391,
0.21851083636283875,
0.08114923536777496,
0.26714351773262024,
-0.36799103021621704,
1.1047210693359375,
0.047048576176166534,
0.18318787217140... |
In this task, you will be shown a conversation and a question. You need to answer the question and choose the correct option based on the conversation. "W" and "M" in the conversations stand for "woman" and "man".
Q: Boy: Dad, Dad! Can I have some money to buy a Game Boy? Dad: A Game Boy? Those are too expensive. Boy: No, they're not. There only twenty-five dollars. I've got forty-two dollars before, but Mom didn't let me buy one. Dad: Well, let's look. Let's think of some ways so that ... Hmm. Well, maybe we can come up with some ways that you can earn money. Boy: Let's see ... allowance. Dad: Okay, well allowance. So, how much money can you make a week with allowance? What did Mom tell you? Boy: She said that if, umm, you get your work done on time, you can get $1.25. Dad: Okay, so if you get your work done, you get $1.25. Okay, and what are some other ways that you can earn a little bit more money? Boy: Umm, let's see. I could work for people. Dad: Okay, well, maybe you could come up with some odd jobs. What are a couple of things that you could do to earn some money, maybe around here, in the neighborhood? Boy: Umm. Dad: What about opening up a lemonade stand? Boy: I can try that. That'll be fun. Dad: Okay. What else can you do? Boy: Hmmm. Most the kids on our block like candy, so I can start one of those. Dad: Okay, so maybe selling some candy. [Yeah.] And, what else? Boy: Umm. I could ... umm ... take out the trash everyday. Dad: Well, I think you have some ideas, so I guess if you save long, you'll be able to earn enough money to buy something you want. Sound good? Boy: Like a Game Boy? Dad: Uh, something you need, let's say. Boy: Uh! (Great surprise and disgust) Dad: [Laughing], Question: What can we infer from the ending of the conversation? (A) The father is going to help buy the Game Boy for his son. (B) The boy feels some disappointment and surprise. (C) The boy no longer wants a Game Boy.
A: | (B) The boy feels some disappointment and surprise. | 4 | NIv2 | task247_dream_answer_generation | zs_opt | [
0.36539918184280396,
0.11845649033784866,
-0.30148911476135254,
-0.037504687905311584,
0.041493356227874756,
-0.2503133714199066,
0.8651906847953796,
0.7679377794265747,
0.2635117173194885,
-0.3831694722175598,
-0.37968331575393677,
-0.007328108884394169,
0.05832073092460632,
-0.6421849727... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.