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 |
|---|---|---|---|---|---|---|
Given a pair of words, generate the relation between them. The first word is called the 'concept' and the second word is called the 'relatum' The relation must be one of the following: co-hyponym (coordinate), hypernym, meronym, attribute, event, or random. A coordinate relation indicates that the concept and relatum b... | hyper | 9 | NIv2 | task1418_bless_semantic_relation_classification | fs_opt | [
0.24538874626159668,
-0.022426214069128036,
0.12151158601045609,
0.03369712829589844,
-0.7506932020187378,
0.205819234251976,
-0.08774959295988083,
0.12356877326965332,
-0.30076420307159424,
-0.9294612407684326,
-0.5815843343734741,
0.23168379068374634,
-1.0325922966003418,
0.4458690285682... |
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 ant... | Unrelated
| 0 | NIv2 | task279_stereoset_classification_stereotype | fs_opt | [
0.2699928283691406,
0.5618535280227661,
-0.3036435842514038,
0.037535034120082855,
-0.38062557578086853,
-0.12693572044372559,
0.6469740271568298,
0.9746557474136353,
0.26492661237716675,
-0.0518479123711586,
-0.8514268398284912,
0.01736949384212494,
-0.5522221326828003,
0.0061582024209201... |
Detailed Instructions: In this task, you are given an ambiguous question/query (which can be answered in more than one way) and a clarification statement to understand the query more precisely. Your task to classify that if the given clarification accurately clarifies the given query or not and based on that provide 'Y... | No | 9 | NIv2 | task227_clariq_classification | zs_opt | [
0.08317085355520248,
0.28695735335350037,
-0.3895946741104126,
0.0018301804084330797,
-0.3841249942779541,
-1.2080063819885254,
0.32320481538772583,
0.3341202735900879,
0.12918058037757874,
0.11990554630756378,
0.6824833154678345,
0.1632899045944214,
-0.9679892063140869,
0.1083543151617050... |
Classify the given news commentary into the language in which it is written in. There are 12 languages to classify the sentences into, 1) English, 2) French, 3) Arabic, 4) Czech, 5) German, 6) Spanish, 7) Dutch, 8) Portuguese, 9) Italian, 10) Zhuang, 11) Japanese, 12) Russian.
Per certo, anche dopo l’inizio della cris... | French
| 0 | NIv2 | task1370_newscomm_classification | fs_opt | [
-0.0629633367061615,
0.37904465198516846,
0.534247100353241,
-0.3427031338214874,
0.1874236911535263,
-0.1881236732006073,
0.288200318813324,
0.7606554627418518,
0.1616293489933014,
0.12841203808784485,
0.30020248889923096,
-0.11212886869907379,
-0.594048023223877,
-0.06609692424535751,
... |
Given the task definition and input, reply with output. Given a sentence in the Japanese, provide an equivalent translation in Thai that retains the same meaning through the translation. In translation, keep numbers as it is.
後半わずか2分で、Vipersは、Davetalevuのディフェンスを突破し、比較的簡単なトライを決めたがコンヴァージョンには失敗した。
| เพียงสองนาทีของครึ่งหลัง Vipers ก็ทำลายเกมรับของDavetalevu เพื่อทำแต้มที่ดูเหมือนจะง่ายแต่ก็พลาดไป | 5 | NIv2 | task1127_alt_ja_th_translation | zs_opt | [
-0.4939129948616028,
0.17294567823410034,
-0.16903558373451233,
0.060451727360486984,
-0.1520165205001831,
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0.9620416760444641,
0.45438361167907715,
0.12251324951648712,
-0.09673198312520981,
-0.37586545944213867,
0.5797246694564819,
-0.8077330589294434,
0.4060436189174... |
Teacher:In this task, you are given an input list A comprising of numbers and alphabets. You need to extract and sort the unique alphabets in the list. The alphabets in the input list will only be in lowercase. Return -1 if there is no alphabet in the input list.
Teacher: Now, understand the problem? Solve this instanc... | a, b, c, d, e, h, i, n, o, q, r, t, z | 6 | NIv2 | task636_extract_and_sort_unique_alphabets_in_a_list | zs_opt | [
-0.5910089015960693,
0.5728107690811157,
0.08037453889846802,
-0.12085618078708649,
0.41510728001594543,
-0.020465515553951263,
0.8478633165359497,
0.00226355972699821,
-1.0472984313964844,
0.18211627006530762,
-0.34207683801651,
-1.0264545679092407,
0.20212876796722412,
-0.128634989261627... |
Given an object and a part, decide whether the object has that part. For example is you are asked 'gun has barrel', you need to decide if a gun has a barrel as one of its components or parts. All sentences strictly follow the template 'object has part?.' The answer should be 1 or 0, 1 means the object has the given par... | 0
****
| 4 | NIv2 | task1584_evalution_meronym_classification | fs_opt | [
-0.3788128197193146,
0.7975111603736877,
-0.2150384783744812,
0.7021089196205139,
0.02332937717437744,
-1.0031441450119019,
1.083458662033081,
0.8162096738815308,
-0.024197367951273918,
-0.2822521924972534,
-0.5769820213317871,
-0.04704474285244942,
-0.8208568096160889,
0.28270649909973145... |
Given the task definition and input, reply with output. In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). Person... | No | 5 | NIv2 | task1211_atomic_classification_hassubevent | zs_opt | [
0.188166081905365,
0.2555621862411499,
0.30842235684394836,
-0.0377366840839386,
-0.5373348593711853,
-0.12393489480018616,
1.066272258758545,
0.6607661247253418,
-0.346590518951416,
-0.2639581561088562,
-0.48350822925567627,
-0.25282055139541626,
-0.8543676137924194,
0.26409322023391724,
... |
Detailed Instructions: Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
Q: Tweet: @anonymized_account Nie wstydzimy się za Polskę, a za @anonymized_account , Question: Does the tweet contain cyberbullying (harmful) content?
A: | No | 9 | NIv2 | task839_cdt_classification | zs_opt | [
-1.2653404474258423,
1.108271598815918,
0.6489199995994568,
0.5481448173522949,
-0.8315788507461548,
-0.9189406037330627,
1.0186189413070679,
-0.5310527086257935,
0.0688551589846611,
0.7266192436218262,
0.0263019111007452,
0.04553080350160599,
-0.7006264328956604,
-0.5335875153541565,
-0... |
Part 1. Definition
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Polish.
Part 2. Example
ایلان: درسته. این مهمه که بخش های راکت بتونند برگردند و بتونند به سایت پرتاب برگردند و اماده پرتاب باشند در عرض چند ساعت.
Answer: EM: Owszem. Ważne jest by rakieta mogła wrócić do lądowiska i... | Ale chwila - powiecie być może - jak możesz brać się od razu za kontrolowanie mózgu nie wiedząc wcześniej jak działa? | 7 | NIv2 | task1272_ted_translation_fa_pl | fs_opt | [
-0.30453985929489136,
0.8899071216583252,
0.2822721600532532,
-0.38692548871040344,
-0.6463425159454346,
0.26385796070098877,
1.463341474533081,
-0.16362547874450684,
0.28403687477111816,
-0.9414496421813965,
-0.9237281084060669,
0.78270024061203,
-0.9634811878204346,
0.2903456687927246,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a sentence in the Bulgarian language and corresponding English translation of this sentence. Here, your job is to generate label "yes" if translation is right, otherwise g... | no | 0 | NIv2 | task273_europarl_classification | fs_opt | [
-0.5244317054748535,
0.36473575234413147,
0.3491107225418091,
0.7686160802841187,
0.2579982280731201,
-0.5136282444000244,
1.1845178604125977,
0.01543150283396244,
0.48847371339797974,
0.16486969590187073,
0.061594411730766296,
0.8124581575393677,
0.11589708924293518,
0.7673836350440979,
... |
Teacher:Given a sentence in Igbo language, translate the sentence to English language keeping the meaning of the original sentence intact
Teacher: Now, understand the problem? Solve this instance: Igbo sentence: A ga-chụpụrụ site Ebere
Student: | Be Driven By Mercy | 6 | NIv2 | task449_opus_paracrawl_ig_en_translation | zs_opt | [
-0.17428717017173767,
0.11291633546352386,
-0.14819049835205078,
-0.36021125316619873,
-0.07443087548017502,
-0.7458407282829285,
0.4207842946052551,
0.5530868768692017,
-0.010098413564264774,
-0.5179129838943481,
0.3022273778915405,
0.519034743309021,
-0.5802344083786011,
-0.2546634376049... |
In this task, you are given a sentence from the Bible in Persian, and your task is to translate it into English.
Q: او را خواهم دید لیکن نه الان. اورا مشاهده خواهم نمود اما نزدیک نی. ستارهای از یعقوب طلوع خواهد کرد و عصایی از اسرائیل خواهد برخاست و اطراف موآب را خواهدشکست. و جمیع ابنای فتنه را هلاک خواهدساخت.
A: | And Balaam said unto Balak, Spake I not also to thy messengers which thou sentest unto me, saying, | 4 | NIv2 | task654_bible_fa_en_translation | zs_opt | [
0.1029362678527832,
1.085191249847412,
-0.859984278678894,
0.12575706839561462,
-0.8459203243255615,
0.044826440513134,
0.5849862098693848,
0.9250776767730713,
0.8829973340034485,
0.393444299697876,
-0.0970597118139267,
0.615193784236908,
-0.6092743277549744,
0.032179370522499084,
1.1106... |
Q: In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to provide one question which clarifies the input question and it has one unique answer, and also provide an answer to the generated question. Generated question and answer should be separated with a new line.... | When does the next step season 5 start?
May 26, 2017 | 7 | NIv2 | task671_ambigqa_text_generation | zs_opt | [
-0.27545106410980225,
0.319433331489563,
-0.2631244957447052,
-0.28280383348464966,
0.010854268446564674,
-0.6878485679626465,
0.1276506781578064,
0.4231492877006531,
-0.234562486410141,
-0.460528165102005,
-0.35347676277160645,
0.1667013317346573,
-0.7570674419403076,
0.3859986662864685,
... |
In this task, you are given a question in Persian, and your task is to translate it into English.
Input: Consider Input: ارائه دهنده مناسب نصب پانل خورشیدی در Bullhead City ، ایالت آریزونا کدام است؟
Output: Which is a suitable solar panel installation provider in Bullhead City, Arizona AZ?
Input: Consider Input: چگ... | Output: Presently (2015) how many articles, parts and schedules are there in the Indian Constitution?
| 2 | NIv2 | task653_parsinlu_fa_en_translation | fs_opt | [
-0.8514192700386047,
0.7894512414932251,
0.03652007132768631,
0.1223272830247879,
-0.6606076955795288,
-0.0023417591582983732,
0.9695889353752136,
0.6921553611755371,
-0.5276367664337158,
0.06224146485328674,
-0.2258913516998291,
0.5903806686401367,
-0.45878005027770996,
-0.303541988134384... |
Instructions: In this task, you're given a text and question. The question is about the topic of the document. You are expected to generate an incorrect answer. The incorrect answer should be among one of the following categories: 1)Company, 2)Educational Institution, 3)Artist, 4)Athlete, 5)Office holder, 6)Mean of tra... | Film | 3 | NIv2 | task631_dbpedia_14_incorrect_answer_generation | zs_opt | [
-0.4868430495262146,
0.5282672047615051,
0.06038370728492737,
0.2499673068523407,
-0.2046067863702774,
-0.1351500302553177,
0.10195310413837433,
0.3283935785293579,
-0.18320074677467346,
-0.1306624412536621,
-0.45420652627944946,
0.1941862404346466,
-0.11788685619831085,
-0.478377431631088... |
In this task, you're given a question, a context passage, and four options which are terms from the passage. After reading a passage, you will get a brief understanding of the terms. Your job is to determine by searching and reading further information of which term you can answer the question. Indicate your choice as ... | b
****
| 4 | NIv2 | task231_iirc_link_classification | fs_opt | [
0.14568331837654114,
0.6325074434280396,
-0.5550380945205688,
0.21123456954956055,
0.337628036737442,
0.15813612937927246,
0.6020487546920776,
0.9039674997329712,
-0.09051309525966644,
0.18107450008392334,
0.10062582790851593,
0.371537446975708,
-0.24780665338039398,
0.40512341260910034,
... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Hebrew.
Sono stato umano sei giorni, ma solo qualche volta "" Ma questo è un bene.
הייתי בן-אדם ששה ימים, אבל רק לעיתים. "" אבל זה דבר טוב.
Ecco dove stiamo andando; siamo agli inizi.
לשם הדברים מועדים; עדיין ימים מוקדמים מאוד.
I... | בגרמניה יש לנו מערכת שבה, אסור לך לשחד עובד מדינה, אבל מותר לך לשחד את סגנו.
| 0 | NIv2 | task1251_ted_translation_it_he | fs_opt | [
-0.6867150068283081,
0.6950832605361938,
0.30901673436164856,
-0.29644855856895447,
-0.8319935202598572,
-0.6729221343994141,
0.5667151212692261,
0.3573654592037201,
-0.1599067598581314,
-0.4430791735649109,
-0.7909924983978271,
0.3765151798725128,
-0.8326307535171509,
0.3193455934524536,
... |
In this task, you need to Translate Czech text to English.
Q: eÜen se t²k senzoru pro zjiÜ ov n p° tomnosti tekutin, zejm na pro kapaln a p° padn i plynn l tky, sest vaj c z vys lac a p°ij mac sti sv teln ho z °en , kter jsou vz jemn propojeny optokabelem. Podstata spo v v tom, e mezi vys lac st (1) sv teln ho z °en a... | Equipment for industrial waste water treatment continuous flotocoagulation is based on chemical-physical method. The device consists of a flotation aerator (1) the space formed by the housing (3) and the inner cylinder (5), cylinders (6) with a suitable filter element (7). This device can be used in a wide range o... | 4 | NIv2 | task842_para_pdt_cs_en_translation | fs_opt | [
0.42300549149513245,
0.5710276961326599,
-0.6389315724372864,
0.5677958726882935,
0.7266886830329895,
-0.4704371690750122,
0.08101924508810043,
1.0256553888320923,
-0.2907373309135437,
0.44147634506225586,
-0.33154749870300293,
-0.15698179602622986,
-0.08726947009563446,
0.3370873630046844... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: toxic and non-toxic. Toxicity is defiend as anything that is rude, disrespectful, or unreasonable that would make someone want to leave a converation.
One example: Comment: i am just sorry that... | Non-toxic | 6 | NIv2 | task327_jigsaw_classification_toxic | fs_opt | [
-0.2693824768066406,
0.49689826369285583,
0.3639022707939148,
-0.3076706826686859,
-0.1497373878955841,
-0.5609303116798401,
1.1676435470581055,
0.06377820670604706,
0.5158371329307556,
0.5158128142356873,
-0.2834013104438782,
-0.024904968217015266,
-0.8874771595001221,
-0.6922206878662109... |
In this task, you are given a sentence in the English language and your task is to convert English sentence into the Gujarati language.
Q: A couple of large passenger jets flying past each other on an airport.
A: એક મોટા પેસેન્જર જેટ વિમાન એક એરપોર્ટ પર એકબીજાથી ઉડ્ડયન કરે છે.
****
Q: A man holding a small black and ... | એક બીચ ડોક વિસ્તાર હોડી સાથે જતી રહે છે, અને તેની પાસે એક સ્કૂટર અને નાના કાર્ટ સાથે એક નાનો ઝુંપડી.
****
| 4 | NIv2 | task438_eng_guj_parallel_corpus_en_gu_translation | fs_opt | [
-0.4587157964706421,
0.653018057346344,
-0.5093076229095459,
-0.8695081472396851,
0.240874782204628,
-0.15599212050437927,
-0.0601019561290741,
0.3807818293571472,
0.005052928347140551,
-0.09734206646680832,
0.01653970405459404,
0.45539385080337524,
-0.26924341917037964,
-0.267621159553527... |
In this task, you are given inputs 'i', 'j', and A, where 'i' and 'j' are integers and A is a list. A list is shown by two brackets and comma-separated numbers and characters inside, like ['1', '12', 'l']. You need to concatenate all elements of A from the ith element to the jth element, and then reverse the resulting ... | Lf3254125C1976bP987986
| 5 | NIv2 | task267_concatenate_and_reverse_all_elements_from_index_i_to_j | fs_opt | [
-0.28698596358299255,
0.18266238272190094,
-0.6119469404220581,
-0.13966546952724457,
-0.12642617523670197,
0.14788062870502472,
0.8518968820571899,
0.21571926772594452,
-0.7087371945381165,
0.22609743475914001,
-1.170829176902771,
0.04404696822166443,
-0.1475210338830948,
-0.3449043631553... |
Detailed Instructions: In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to return one of the emotions which are expressed by the Character in t... | excited | 8 | NIv2 | task293_storycommonsense_emotion_text_generation | zs_opt | [
0.13834330439567566,
0.5033571720123291,
0.2845038175582886,
-0.8684341907501221,
-0.17440104484558105,
-0.14038321375846863,
0.7067502737045288,
0.6891998648643494,
0.20071280002593994,
0.20504002273082733,
0.22035890817642212,
-0.322475790977478,
-0.28779521584510803,
-0.2484309375286102... |
Instructions: A ploynomial equation is a sum of terms. Here each term is either a constant number, or consists of the variable x raised to a certain power and multiplied by a number. These numbers are called weights. For example, in the polynomial: 2x^2+3x+4, the weights are: 2,3,4. You can present a polynomial with th... | 57 | 3 | NIv2 | task090_equation_learner_algebra | zs_opt | [
0.36698901653289795,
1.054495096206665,
-0.6808651089668274,
-0.7911426424980164,
-0.4692486524581909,
-0.455266535282135,
1.0671414136886597,
0.6464806795120239,
-0.07531868666410446,
-0.9493787288665771,
-0.5706638097763062,
0.9392073154449463,
-0.8282635807991028,
0.035225413739681244,
... |
Given a sentence in the Lao, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Q: ບິວ ຄຼິນຕັນ ອະດີດປະທານນາທິບໍດີ ສະຫະລັດອາເມລິຫາ ຈະໄປຢ້ຽມຢາມ ໂຣມາເນຍ ໃນວັນທີ 21 ເດືອນພຶດສະພາ ເພື່ອເຂົ້າຮ່ວມເປັນຜູ້ກ່າວຄຳປາໄສໃນ ກອງປະຊຸມ BeyondBorder ປ... | 前アメリカ合衆国大統領のビル・クリントンは5月21日にルーマニアを訪問し、ブカレストでの2005年国境を越える会議に基調演説者として参加する。 | 4 | NIv2 | task1125_alt_lo_ja_translation | zs_opt | [
-0.21485963463783264,
-0.07119516283273697,
-0.4835069179534912,
0.06924203038215637,
-0.2904365062713623,
-0.7566527128219604,
0.3455333411693573,
-0.05617750063538551,
-0.2072511911392212,
0.04561236500740051,
-0.3315885663032532,
1.4186058044433594,
-0.39506796002388,
0.5096900463104248... |
Given the task definition, example input & output, solve the new input case.
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.
Example: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoy... | negative | 1 | NIv2 | task195_sentiment140_classification | fs_opt | [
-1.2029492855072021,
0.21407590806484222,
0.02336808666586876,
0.2447098195552826,
0.5265561938285828,
-0.040406033396720886,
-0.08030504733324051,
0.44408148527145386,
0.316262423992157,
0.6734417676925659,
-0.4894610047340393,
-0.3553820848464966,
-0.007593270856887102,
-0.34832960367202... |
Definition: In this task, you are given an input list A. If the count of numbers is more than that of alphabets in the list, answer 'Numbers Win'. If the count of alphabets is more than that of numbers in the list, answer 'Alphabets Win'. If the count of numbers is same as that of alphabets in the list, answer 'Numbers... | Alphabets Win | 2 | NIv2 | task523_find_if_numbers_or_alphabets_are_more_in_list | zs_opt | [
0.4832976460456848,
-0.07814199477434158,
-0.5307682752609253,
-0.08559709787368774,
0.0757552832365036,
-0.6340641975402832,
0.7798993587493896,
0.1168099194765091,
-0.26060330867767334,
0.33282196521759033,
-0.8322077393531799,
0.25509679317474365,
-0.2976745069026947,
0.1405613124370575... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions of the participants in the sentence and those affected by it. Is any of these emotions caused by the sentence? You should write your answer in the form " A >Causes> B". Try to use phrases and sentences fro... | Bay's doll lost an arm >Causes> Bay feel(s) sad
| 5 | NIv2 | task749_glucose_reverse_cause_emotion_detection | fs_opt | [
0.11915586143732071,
-0.07974673807621002,
-0.7861939072608948,
0.16923755407333374,
-0.11625301837921143,
-1.1354353427886963,
1.3228647708892822,
0.7719016671180725,
-0.4451165199279785,
-0.025913339108228683,
0.02935943752527237,
0.6260620355606079,
-0.4292319416999817,
-0.5767697095870... |
Definition: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. You are required to assign a label 'formal' if there is an absence of emotion and a presence of questions anywhere within the conversation. If such pattern is not found assign the labe... | informal | 2 | NIv2 | task1533_daily_dialog_formal_classification | zs_opt | [
-0.5734630227088928,
0.17758820950984955,
0.25026652216911316,
-0.19508549571037292,
-0.1398521214723587,
-0.019049495458602905,
0.3889038562774658,
-0.3467886447906494,
0.2708834111690521,
0.02194257453083992,
-0.260847806930542,
-0.586359977722168,
-0.2962881028652191,
0.2809616625308990... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given music product reviews in English language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
I couldn't b... | NEG | 1 | NIv2 | task478_cls_english_music_classification | zs_opt | [
0.49652108550071716,
-0.32170331478118896,
-0.8026645183563232,
0.7019174098968506,
0.5622525215148926,
-0.3117145001888275,
1.2972394227981567,
0.7520177364349365,
-0.11859329789876938,
0.5884835720062256,
0.12166862189769745,
-0.29197436571121216,
-0.5749257206916809,
-0.0825692415237426... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a sentence 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 i... | Identifiable | 0 | NIv2 | task350_winomt_classification_gender_identifiability_pro | fs_opt | [
-0.9625709056854248,
0.6794642806053162,
-0.5636472105979919,
-0.6081997156143188,
0.10431904345750809,
0.18626490235328674,
0.2676108181476593,
0.6203101277351379,
0.8256746530532837,
-0.079826720058918,
-0.6874168515205383,
0.17234209179878235,
-0.34104830026626587,
0.007135519292205572,... |
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 ... | It was easy for PersonX to forgive and forget, but not PersonY, as _ believed people should have a second chance. | 9 | NIv2 | task032_winogrande_question_generation_person | fs_opt | [
0.5161844491958618,
0.2740634083747864,
0.3174804151058197,
0.20016998052597046,
0.21193905174732208,
-0.8891816735267639,
0.6292033195495605,
1.1614506244659424,
0.4492189288139343,
-0.8517693281173706,
-0.7699751257896423,
0.3848057687282562,
-0.2737126350402832,
-0.08944670110940933,
... |
Instructions: In this task, you are given a abstract of article and corresponding title of an article. Your task is to generate label "yes" if title is right for article, otherwise generate "no".
Input: Abstract: Although phylogenetic inference of protein-coding sequences continues to dominate the literature, few analy... | yes | 3 | NIv2 | task1587_scifact_classification | zs_opt | [
-0.16168516874313354,
-0.6313008069992065,
-0.6516904234886169,
0.39394521713256836,
0.4280396103858948,
-0.5037283301353455,
0.7924604415893555,
1.0015966892242432,
0.17394116520881653,
0.30249136686325073,
-0.5185559988021851,
0.6707069277763367,
-0.3483878970146179,
0.6976554989814758,
... |
You will be given a definition of a task first, then some input of the task.
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. Indica... | Option 2 | 1 | NIv2 | task065_timetravel_consistent_sentence_classification | zs_opt | [
0.022228851914405823,
0.24628525972366333,
0.34822526574134827,
-0.14603574573993683,
0.3652994930744171,
-0.24331583082675934,
0.10720093548297882,
1.2999972105026245,
0.24536871910095215,
0.3510097861289978,
-0.2928561866283417,
-0.5909010171890259,
0.3555501401424408,
-0.386007487773895... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
--------
Question: Tamén poder ser porque Goliat é un guerreiro con experiencia, e David só é un pastor.
Answer: We also call him an underdog because Goliath is an experienced warrior, and David is just a shepherd.
Que... | When they wrote the Constitution, they put dirt all over the cobblestones outside the hall so that they could concentrate.
| 7 | NIv2 | task1238_ted_translation_gl_en | fs_opt | [
-0.813567042350769,
0.6252802610397339,
-0.1183742806315422,
-0.737064003944397,
-0.6393978595733643,
-0.9953633546829224,
0.8909765481948853,
0.2323783040046692,
0.45258644223213196,
0.0483173131942749,
-0.5044560432434082,
-0.10635621845722198,
-1.5164040327072144,
0.39877253770828247,
... |
Q: In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
[یاد کن] هنگامى را که خدا گفت: «اى عیسى، من تو را برگرفته و به سوى خویش بالا مىبرم، و تو را از [آلایش] کسانى که کفر ورزیدهاند پاک مىگردانم، و تا روز رستاخیز، کسانى را که از تو پیروى کردهاند، فوق کس... | When God said: "O Jesus, I will take you to Myself and exalt you, and rid you of the infidels, and hold those who follow you above those who disbelieve till the Day of Resurrection. You have then to come back to Me when I will judge between you in what you were at variance." | 7 | NIv2 | task657_quran_fa_en_translation | zs_opt | [
-0.3395547866821289,
0.5996232628822327,
-0.4402157664299011,
0.08727139234542847,
-1.289367437362671,
-0.4991036057472229,
0.5743931531906128,
0.5258561968803406,
-0.2612484097480774,
0.11180925369262695,
-1.0045619010925293,
0.586933970451355,
-0.8468731641769409,
0.9655206203460693,
0... |
In this task, you are given a sentence that is either in the Yoruba language or the English language. Your task is to identify the language of the input sentence. Input sentences should be in Yoruba or English language and also it cannot have two languages at a time.
Example Input: Ńṣe làwọn tó ń bójú tó ọgbà ẹ̀wọ̀n á... | English
| 3 | NIv2 | task1621_menyo20k-mt_en_yo_language_identification | fs_opt | [
0.09719350934028625,
0.31203028559684753,
0.6407848000526428,
0.1466779112815857,
-0.05723820999264717,
-0.4016864001750946,
-0.1565311849117279,
0.23279249668121338,
0.2825603783130646,
-0.5014307498931885,
0.1696593165397644,
0.05507194250822067,
-0.5522359609603882,
0.09365867078304291,... |
Q: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is.
According to Colonel Manthan Apaivongs , main investigating officer in the shoot-out , ” The case is very serious , involving the security of foreign nations .... | राजन पर हे हमले की घटना के मुय जांचकर्ता कर्नल मांथन एपाइवोंग्स के मुताबिक , ' ' यह भत गंभीर मामल है और इससे कई देशों की सुरक्षा जुड़ी ही है । | 7 | NIv2 | task425_hindienglish_corpora_en_hi_translation | zs_opt | [
-0.11822731047868729,
0.3597736358642578,
-0.03821726143360138,
-0.1287175565958023,
-0.008940223604440689,
-0.7434096336364746,
0.7840756773948669,
0.19330351054668427,
0.22542062401771545,
0.030338946729898453,
-0.7218155264854431,
0.30815333127975464,
-0.7057066559791565,
0.551207542419... |
Detailed Instructions: The provided text is in English, and we ask you to translate the text to the Croatian language. Please bear in mind the following guidelines while translating: 1) We want a natural translation, a formal form. 2) Use the symbols like '#@%$-+_=^&!*' as-is. *Include* the special characters as suited... | Bilo kako bilo, ništa od toga mu nisam mogao reći. | 8 | NIv2 | task1365_opustedtalks_translation | zs_opt | [
-0.1405557543039322,
0.9305651783943176,
-0.19560326635837555,
0.11952731758356094,
0.028748368844389915,
-0.8661451935768127,
0.5361554026603699,
0.11160623282194138,
0.09944457560777664,
-0.2879314422607422,
0.0812801867723465,
0.12095734477043152,
-0.6756845712661743,
0.0813527852296829... |
Detailed Instructions: Based on the given question and tppic, give an answer. The answer is available on on the internet. The questions are mostly centered around a single named entity.
Q: concept: United States question: on which continent is the usa located?
A: | ['North America'] | 9 | NIv2 | task1601_webquestions_answer_generation | zs_opt | [
0.0749223530292511,
1.2434108257293701,
-0.18374769389629364,
0.5274287462234497,
-0.9552289843559265,
-0.45806685090065,
-0.054295092821121216,
-0.11380816996097565,
0.6031221151351929,
0.5721598267555237,
0.048103783279657364,
-0.01894533634185791,
-0.07038244605064392,
0.042622726410627... |
In this task, you will be given text in English. You need to translate the text into the Sinhali language.
Riddler deduces that conundrum and her men are all college students who specialize in police sciences. | රිඩ්ලර් විසින්ගේ ප්රෙහෙලිකාව අපෝහනය කරන අතර ඇගේ මිනිසුන්, පොලිස් විද්යාව පිළිබඳ විශේෂඥයන් වන විශ්ව විද්යාල ශිෂ්යන් වේ. | 0 | NIv2 | task604_flores_translation_entosn | zs_opt | [
-0.23039492964744568,
0.9404644966125488,
0.48178327083587646,
-0.9145950078964233,
-0.7283331155776978,
0.04807537421584129,
0.11534935235977173,
-0.1001819521188736,
0.5252593755722046,
-0.11166948080062866,
-0.6230660676956177,
-0.3580285310745239,
-0.49918028712272644,
0.04613088071346... |
Given a pair of words, generate the relation between them. The first word is called the 'concept' and the second word is called the 'relatum' The relation must be one of the following: co-hyponym (coordinate), hypernym, meronym, attribute, event, or random. A coordinate relation indicates that the concept and relatum b... | attri | 6 | NIv2 | task1418_bless_semantic_relation_classification | fs_opt | [
0.21084412932395935,
-0.0675632506608963,
0.12645849585533142,
0.214801624417305,
-0.41146084666252136,
0.2475234717130661,
0.23145939409732819,
0.1307344138622284,
-0.3206571936607361,
-0.9378255009651184,
-0.3581012189388275,
0.2893572151660919,
-1.0619885921478271,
0.5478761196136475,
... |
Instructions: Write a correct answer for the question. You should reason about prototypical situations and provide the correct answer. Avoid answers that provide incomplete justification for the question.
Input: name an animal people wish didn't exist.
Output: | snakes | 3 | NIv2 | task820_protoqa_answer_generation | zs_opt | [
-0.5203120708465576,
0.9543136358261108,
-0.16783520579338074,
-0.15545789897441864,
-0.6152471303939819,
-1.113254427909851,
0.2960888743400574,
0.3840736150741577,
-0.434099018573761,
-0.195404052734375,
-0.07150872051715851,
0.10953488945960999,
-0.600614070892334,
-0.4187065660953522,
... |
TASK DEFINITION: Given a comment text in Tamil, classify the comment into one of these categories (i) Hope speech, if it contains encouraging, positive or supportive contents about equality, diversity or inclusion, (ii) Not Hope Speech or (iii) Not in Expected Language, if the text is not Tamil.
PROBLEM: í αm fírѕt cσm... | Hope Speech
| 8 | NIv2 | task680_hope_edi_tamil_text_classification | fs_opt | [
-0.38904303312301636,
-0.013198686763644218,
0.4056131839752197,
0.2609792947769165,
-0.10553441941738129,
-0.21414117515087128,
0.27128511667251587,
0.19330021739006042,
0.030058734118938446,
-0.20821192860603333,
-0.5239145755767822,
0.26162225008010864,
-0.3421168327331543,
0.0778662115... |
Detailed Instructions: Translate from Hindi to English such that it preserves the original meaning Perform complete translation (partially translated sentences are considered incorrect).
Q: राजमार्ग अवरुद्ध हैं बर्फ से.
A: | Highways are blocked by snowdrifts. | 9 | NIv2 | task1323_open_subtitles_hi_en_translation | zs_opt | [
0.3123714029788971,
0.8979945182800293,
0.7154710292816162,
-0.1130003035068512,
0.2156675010919571,
-1.4505054950714111,
0.6005603075027466,
0.15143296122550964,
-0.21920901536941528,
-0.5064876079559326,
0.15070565044879913,
0.3413814306259155,
-0.3654410243034363,
0.38042598962783813,
... |
Teacher: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. Among the entities, try to find the best entity that is most likely to fill in "_" and classify the answers based on options.
Teacher: Now, understand the problem... | (B) | 6 | NIv2 | task302_record_classification | zs_opt | [
-0.14158295094966888,
0.4020651876926422,
-0.18829482793807983,
-0.6111586689949036,
0.32964444160461426,
0.009756422601640224,
0.15074552595615387,
0.39538291096687317,
-0.019221844151616096,
0.17127110064029694,
0.6605125665664673,
0.6199178695678711,
-0.6093307137489319,
-0.599545121192... |
In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False".
One example: Review: My cat won't touch these. My dog, howev... | False | 6 | NIv2 | task1309_amazonreview_summary_classification | fs_opt | [
-0.7916396260261536,
0.115271657705307,
0.03770533204078674,
-0.2833356559276581,
-0.17484739422798157,
-0.8919169902801514,
0.5064927339553833,
0.6251420378684998,
-0.6891509294509888,
0.18846285343170166,
-0.15341390669345856,
0.10955754667520523,
-0.6490540504455566,
-0.1036715209484100... |
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 -
'.... | ADV | 9 | NIv2 | task1168_brown_coarse_pos_tagging | fs_opt | [
0.6057181358337402,
0.1826779693365097,
-0.23195171356201172,
0.283683717250824,
-0.08041894435882568,
-0.6171644926071167,
0.7718407511711121,
0.7081236839294434,
-0.6294522285461426,
-0.07527212798595428,
-0.6060733199119568,
0.16192494332790375,
-0.6040483713150024,
0.49034664034843445,... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural languag... | only { filter_eq { all_rows ; nation ; serbia } } | 1 | NIv2 | task210_logic2text_structured_text_generation | zs_opt | [
0.27351170778274536,
-0.027689393609762192,
-0.39947760105133057,
0.7090840935707092,
0.286954402923584,
-0.2761598825454712,
0.6233420372009277,
0.42690008878707886,
0.13634711503982544,
-0.1732223629951477,
-0.404767781496048,
-0.007621826604008675,
-0.27555716037750244,
0.41555362939834... |
Q: In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
Here are the definitions of ... | no | 7 | NIv2 | task211_logic2text_classification | zs_opt | [
0.145023375749588,
-0.14420917630195618,
-0.25893110036849976,
0.23633787035942078,
0.46486806869506836,
-0.5908517241477966,
-0.01676500216126442,
0.6328715085983276,
0.27613770961761475,
0.09709183871746063,
-0.16456061601638794,
0.3928351402282715,
-0.07181014120578766,
0.34932631254196... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
[EX Q]: בסדר — (צחוק) — לא זה ממש כואב, אז — (צחוק) — יש פלאו קטנים ואתם בטח יכולים לראות אותם.
[EX A]: Muy bien — (Risas) — no, es muy triste, cómo — (Risas) — éstos son Pleos, aquí los tenéis.
[EX Q]: הוא מפתח אנרגיה באיז... | El primero, en mi opinión, es el que llamo "" ideas que han llegado "". Estas ideas han conjugado algo que ha hecho de India lo que es hoy.
| 6 | NIv2 | task1236_ted_translation_he_es | fs_opt | [
-0.1897381842136383,
0.8218635320663452,
0.3582669794559479,
-0.9225559234619141,
-0.5187856554985046,
-0.548728883266449,
0.6558581590652466,
0.27686288952827454,
0.8704357147216797,
-0.510672926902771,
-0.4910182058811188,
0.45044249296188354,
-0.4219231605529785,
0.26567932963371277,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected s... | 2 | 1 | NIv2 | task202_mnli_contradiction_classification | zs_opt | [
0.3146948218345642,
0.11849036067724228,
-0.31511497497558594,
0.09833954274654388,
0.6288797855377197,
-0.4607207179069519,
0.6376980543136597,
0.6191308498382568,
-0.15320152044296265,
0.6341648101806641,
-0.6981102228164673,
-0.11095421016216278,
-0.015391344204545021,
-0.74979758262634... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write your answer in the form... | Alan feel(s) happy >Motivates> He was saw hip hop concert in front row.
| 0 | NIv2 | task747_glucose_cause_emotion_detection | fs_opt | [
0.5672255754470825,
-0.025327401235699654,
-0.4049343168735504,
-0.038294874131679535,
0.10314612090587616,
-0.9399452209472656,
0.8234801292419434,
0.6820236444473267,
-0.6388609409332275,
0.21158352494239807,
-0.45264241099357605,
0.13642585277557373,
0.24890533089637756,
-0.058073092252... |
Given the task definition and input, reply with output. You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
Pomijając ich protekcjonizm, skupiłem się na 3 podobieństwach.
| Now the protectionism of Argentine dance teachers aside, I found this very interesting. So I decided to focus on three of those commonalities. | 5 | NIv2 | task1256_ted_translation_pl_en | zs_opt | [
-1.3097484111785889,
1.000771164894104,
0.49356359243392944,
-0.265941321849823,
-0.17647068202495575,
-0.12617307901382446,
1.0559945106506348,
-0.4585190713405609,
0.3698625862598419,
-0.4724182188510895,
-0.22748032212257385,
1.0464622974395752,
-0.6253803968429565,
-0.17022548615932465... |
Instructions: A text is given in Tamil. Translate it from the Tamil language to the Telugu language. The translation must not omit or add information to the original sentence.
Input: வலுவான, சுகாதார வசதிகளோடு நமது நாட்டிற்கு ஏராளமான மருத்துவர்களும் தேவைப்படுகிறார்கள்.
Output: | మన దేశాని కి విస్తృత ఆరోగ్య సంరక్షణ వసతులు, భారీ సంఖ్య లో వైద్యుల అవసరం ఉంది. | 3 | NIv2 | task1075_pib_translation_tamil_telugu | zs_opt | [
-0.118547223508358,
1.1450351476669312,
-0.03165046498179436,
0.2379082292318344,
0.618106484413147,
-1.1563973426818848,
-0.2158086597919464,
0.11452149599790573,
-0.5986074209213257,
-0.09294206649065018,
-0.529842734336853,
-0.07250577211380005,
-0.523688554763794,
-0.1404586136341095,
... |
Given the task definition and input, reply with output. 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... | PUNCT | 5 | NIv2 | task583_udeps_eng_coarse_pos_tagging | zs_opt | [
0.6382730007171631,
0.27754372358322144,
0.12757833302021027,
0.019091904163360596,
0.1502615213394165,
-0.4386058449745178,
0.6430193185806274,
0.5203042030334473,
-0.262380450963974,
-0.2836936116218567,
-0.3662959933280945,
0.012131177820265293,
-0.4142898917198181,
0.41249069571495056,... |
In this task, you are given a sentence from the research paper and your task is to classify the given sentence into the following categories: Background (Why is this problem important? What relevant works have been created before? What is still missing in the previous works? What are the high-level research questions? ... | purpose
| 7 | NIv2 | task1163_coda19_section_classification | fs_opt | [
0.5109639167785645,
-0.07258123904466629,
-0.39007920026779175,
0.376409649848938,
-0.35602903366088867,
0.3802332878112793,
1.061739444732666,
0.9066609144210815,
0.5523609519004822,
-0.04976570978760719,
-0.6647564768791199,
0.7536550164222717,
-0.17745783925056458,
0.676013708114624,
... |
TASK DEFINITION: You are given a science question (easy-level) and four answer options (associated with "A", "B", "C", "D"). Your task is to find the correct answer based on scientific facts, knowledge, and reasoning. Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'. There is ... | A
| 8 | NIv2 | task228_arc_answer_generation_easy | fs_opt | [
-0.05543036758899689,
0.11964927613735199,
-0.5874951481819153,
-0.2702192962169647,
-0.5482271313667297,
-0.48564279079437256,
0.6228622198104858,
0.9522372484207153,
-0.3947576880455017,
-0.13519170880317688,
-0.5085670948028564,
-0.17644581198692322,
-0.010271638631820679,
-0.1554796099... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
The 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 t... | grateful | 0 | NIv2 | task1595_event2mind_text_generation_1 | fs_opt | [
-0.01465039886534214,
0.5367844700813293,
0.017794668674468994,
-0.4182029664516449,
-0.10220739245414734,
-0.33574724197387695,
1.4563204050064087,
0.7030462026596069,
0.37185797095298767,
-0.5964412093162537,
-0.09698145091533661,
-0.34662553668022156,
-0.4660370945930481,
0.671091437339... |
Detailed Instructions: Generate an appropriate title for the given text. The generated title must be short and include the main topic of the text. The preferred titles are under fifteen words.
Q: Two devices were found in a property being refurbished in Craven Park, Harlesden, on Wednesday morning. Nearby flats were ev... | Man arrested after 'explosive devices' found in Harlesden flat | 9 | NIv2 | task1356_xlsum_title_generation | zs_opt | [
0.30046403408050537,
1.5997450351715088,
-0.328568696975708,
-0.2531907558441162,
-0.02053210884332657,
-0.34699949622154236,
0.5380480289459229,
0.12295648455619812,
0.20012040436267853,
-0.26531630754470825,
-0.5216232538223267,
1.0748802423477173,
-1.0703679323196411,
-0.527979612350463... |
Detailed Instructions: In this task, you're given an article, a question which often contains a blank, four options (associated with "A", "B", "C", "D") and the answer to that question. Your task is to classify whether the given answer is correct or not by providing "Yes" or "No", based on the article.
Problem:Article:... | Yes | 8 | NIv2 | task310_race_classification | zs_opt | [
0.5706580877304077,
-0.05193041265010834,
-0.39711540937423706,
-0.6363927125930786,
-0.11944209039211273,
-0.7112664580345154,
1.7623780965805054,
0.6871042251586914,
0.08827199786901474,
-0.08861188590526581,
0.5036684274673462,
0.7608180046081543,
0.000815901905298233,
0.696027159690856... |
Q: In this task, you are given books product reviews in Japanese language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
暗くウジウジした日本文学 . 学生時代たしか新潮文庫で数十ページで挫折した夏目漱石の『明暗』。 『それから』、『草枕』、『坊ちゃん』が結構楽しめたので、未完の遺作も期待し... | NEG | 7 | NIv2 | task485_cls_japanese_books_classification | zs_opt | [
-0.19140367209911346,
0.3654431402683258,
0.1280004233121872,
-0.2699797749519348,
0.24485456943511963,
0.3813212513923645,
1.1995470523834229,
0.05685560405254364,
-0.16508668661117554,
0.5232168436050415,
-0.4593137502670288,
-0.13709139823913574,
-0.40608012676239014,
-0.455341041088104... |
Instructions: In this task, you are given a sentence with a missing word that can be an object, a person, and/or an action. Fill in the blank with a plausible word. Although each sentence has many correct answers, you only have to write one answer.
Input: PersonX gives ___ food
Output: | Daughter | 3 | NIv2 | task1217_atomic_answer_generation | zs_opt | [
-0.4306632876396179,
0.8591216802597046,
-0.023691464215517044,
-0.5885525941848755,
-0.3364413380622864,
0.20014655590057373,
1.228437066078186,
0.7828637361526489,
-0.36346328258514404,
-0.856540858745575,
-0.2777782678604126,
-1.3021600246429443,
-0.7535492777824402,
-0.0624391622841358... |
TASK DEFINITION: In this task, you're given a text which is the body of the document. Indicate your answer as "Yes" if the text is about a person, otherwise indicate your answer as "No". Don't generate anything else apart from "Yes" or "No". Pay attention that for your answer to be "Yes", the passage should be generall... | No
| 8 | NIv2 | task632_dbpedia_14_classification | fs_opt | [
-0.5657626390457153,
0.20230785012245178,
-0.37175777554512024,
0.5599902868270874,
-0.07797284424304962,
0.38042744994163513,
0.10101674497127533,
0.5604972839355469,
-0.3325362205505371,
0.4279876947402954,
-0.060347095131874084,
0.280273973941803,
-0.42277616262435913,
-0.57355570793151... |
You will be given a sentence. Check whether the sentence is grammatically correct and is meaningful. If the sentence is grammatically correct, then answer with '1', otherwise answer with '0'.
That Jack sometimes slept is impossible. | 1 | 0 | NIv2 | task1346_glue_cola_grammatical_correctness_classification | zs_opt | [
-0.4796435534954071,
1.1855074167251587,
0.23098242282867432,
-0.5613837242126465,
-0.26122695207595825,
-0.9654392004013062,
0.45511913299560547,
0.3294276297092438,
-0.2367677241563797,
-0.24434450268745422,
-0.8158497214317322,
-0.7447555661201477,
-0.6582741737365723,
-0.60611951351165... |
In this task, you're expected to write answers to questions involving multiple references to the same entity. The answer to the question should be unambiguous and a phrase in the paragraph. Most questions can have only one correct answer.
Q: Passage: As of the 2001 UK census, Herne Bay area wards had a population of 3... | Leopold.
****
| 4 | NIv2 | task002_quoref_answer_generation | fs_opt | [
0.8402929306030273,
0.3096276521682739,
-0.4798385202884674,
-0.18531611561775208,
0.295818567276001,
-0.43564555048942566,
0.37251758575439453,
0.7493547201156616,
0.022053245455026627,
-0.0504789799451828,
-0.2603324353694916,
0.8453477621078491,
-0.8843860626220703,
0.1415143609046936,
... |
Detailed Instructions: You are given a sentence and a question in the input. If the information provided in the sentence is enough to answer the question, label "Yes", otherwise label "No". Do not use any facts other than those provided in the sentence while labeling "Yes" or "No". There are only two types of valid res... | Yes. | 8 | NIv2 | task050_multirc_answerability | zs_opt | [
-0.7158371806144714,
0.5813241004943848,
0.22900159657001495,
0.34796640276908875,
-0.5357581377029419,
-1.5354067087173462,
0.6625864505767822,
0.5118395090103149,
0.2171623706817627,
-0.21045653522014618,
-0.1748848557472229,
0.03652113676071167,
-0.7178912162780762,
0.6850612163543701,
... |
Q: In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to return one of the emotions which are expressed by the Character in the given sentence. F... | None | 7 | NIv2 | task293_storycommonsense_emotion_text_generation | zs_opt | [
-0.23504631221294403,
0.493691623210907,
0.42252179980278015,
-0.6159815192222595,
0.13730619847774506,
-0.5068812370300293,
0.4087473154067993,
0.88724684715271,
0.538066029548645,
0.07712577283382416,
0.34217748045921326,
0.21525274217128754,
-0.6792745590209961,
-0.41577160358428955,
... |
A text is given in Tamil. Translate it from the Tamil language to the Telugu language. The translation must not omit or add information to the original sentence.
One example is below.
Q: ఆయన తీసుకొన్న చొరవ తో అగర్తలా లో ఒక విమానాశ్రయాన్ని నిర్మించడం జరిగింది
A: ஒரு விமான நிலையம் அகர்தலாவில் அவரது முன்முயற்சியுட... | இத்தருணத்தில் பாபா சாஹேப் அம்பேத்கரின் பெயரையும் சுட்டிக்காட்டியிருந்தால் நன்றாக இருந்திருக்கும். | 9 | NIv2 | task1076_pib_translation_telugu_tamil | fs_opt | [
0.5722280740737915,
0.7740359306335449,
0.4448476731777191,
-0.07447345554828644,
0.7308419942855835,
-0.7566494345664978,
-0.03152654320001602,
0.32757580280303955,
-0.6625853776931763,
0.2696093022823334,
-0.22442257404327393,
0.40663787722587585,
-0.7625676989555359,
-0.1917016804218292... |
Q: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the letters E, C, and N respectively.
Sentence ... | C | 7 | NIv2 | task190_snli_classification | zs_opt | [
-0.5513402223587036,
0.06944127380847931,
0.3206501603126526,
0.01633102260529995,
-0.1425253301858902,
-0.8557799458503723,
0.2515673041343689,
0.6281238198280334,
0.4491596817970276,
0.02972935512661934,
-0.21349623799324036,
-0.2868766188621521,
-0.3823264241218567,
-0.13165754079818726... |
Detailed Instructions: 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.
Q: Can you tell me about education and healthcare in Islamabad?
I think I have enough info. Thank you.
I want... | yes. when the master plan for Islamabad was drawn up in 1960, Islamabad and Rawalpindi along with the adjoining areas, was to be integrated to form a large metropolitan area called Islamabad metropolitan area. | 9 | NIv2 | task576_curiosity_dialogs_answer_generation | zs_opt | [
0.21391211450099945,
1.2117524147033691,
0.11182180047035217,
-0.7109912633895874,
-0.20871838927268982,
-0.03866768628358841,
0.9495469331741333,
-0.09531828761100769,
0.33035409450531006,
-0.6865999102592468,
-0.08122813701629639,
-0.17725640535354614,
-0.6875489354133606,
0.209333777427... |
You will be given a definition of a task first, then some input of the task.
In this task, given a sentence in the Hindi language, your task is to convert it into the English language.
दूसरे 40,000 लोग मोरक्को में हमले में आरब शासन की जटिलता को जिस तरह से उन्होंने देखा उसके विरुद्ध इकट्ठा हुए थे।
Output: | Another 40,000 people gathered in Morocco to protest what they saw as the complicity of the Arab regimes in the attack. | 1 | NIv2 | task544_alt_translation_hi_en | zs_opt | [
0.35366296768188477,
0.4074912667274475,
0.6645412445068359,
-0.09133408963680267,
-0.16081583499908447,
0.16554540395736694,
0.7128909230232239,
0.032772425562143326,
0.587495744228363,
-0.20662230253219604,
-0.15265846252441406,
-0.402740478515625,
-0.4917958080768585,
-0.060081109404563... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a sentence in Persian, and your task is to translate it into English.
سم ، خوبي ، تو حالت خوبه .
Solution: sam . alright , youre alright .
Why? This is a good example. Th... | maybe , but not in a saucepan . | 0 | NIv2 | task659_tep_fa_en_translation | fs_opt | [
0.21817408502101898,
0.2712661623954773,
-0.1809418797492981,
-0.47272950410842896,
0.06625227630138397,
-0.20365534722805023,
0.6154555082321167,
0.3361278772354126,
0.3674190044403076,
-0.09642695635557175,
0.04222315549850464,
0.745458722114563,
-0.002132879104465246,
0.1024250760674476... |
In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with the rest of the story. Indicate your answer by "Yes" if it connects, otherwi... | Yes | 0 | NIv2 | task066_timetravel_binary_consistency_classification | zs_opt | [
-0.6205062866210938,
0.3321468234062195,
0.31506142020225525,
-0.11911047995090485,
-0.5677956342697144,
0.17340990900993347,
0.40277135372161865,
1.441152572631836,
-0.18148617446422577,
-0.13495180010795593,
-0.01996764913201332,
-0.6022667288780212,
0.09638217091560364,
0.09124068170785... |
Teacher:In this task, you are given an input stream, and your task is to produce a grammatically correct version of the input sentence. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a grammatically correct version of the input stream. Stream ... | ["You'd", 'be', 'amazed', 'at', 'the', 'things', 'that', 'you', 'can', 'draw', 'or', 'construct', 'if', 'you', 'have', 'a', 'straight', 'edge', 'and', 'a', 'compass', 'and', 'a', 'straight', 'edge', 'is', 'literally', 'just', 'something', 'that', 'has', 'a', 'straight', 'edge', 'that', 'allows', 'you', 'to', 'draw', 's... | 6 | NIv2 | task1415_youtube_caption_corrections_grammar_correction | zs_opt | [
0.6782186031341553,
0.28482040762901306,
0.3089180588722229,
-0.6100651621818542,
0.41925105452537537,
-1.222028136253357,
0.08973612636327744,
0.7241081595420837,
-0.3595274090766907,
0.4635266661643982,
0.024147259071469307,
-0.35801976919174194,
-0.1432625949382782,
-0.5915764570236206,... |
Given the task definition and input, reply with output. You are given a sentence in Italian. Your job is to translate the Italian sentence into Hebrew.
Abbiamo provato numerosi approcci alla giustizia sociale, come la guerra e il pattinaggio su ghiaccio.
| כי ניסינו הרבה גישות לבעיית הצדק החברתי, כמו מלחמה, החלקה אמנותית על הקרח, | 5 | NIv2 | task1251_ted_translation_it_he | zs_opt | [
-0.6759529113769531,
0.8052130937576294,
0.3632323145866394,
-0.13549089431762695,
-0.33782023191452026,
0.02492392063140869,
0.34433960914611816,
0.624776303768158,
0.32984471321105957,
-0.07319248467683792,
-0.3963075280189514,
0.17466866970062256,
-0.7863520979881287,
0.1816703081130981... |
In this task, you need to count the number of words in a sentence that end with the given letter. Answer with numbers and not words.
One example is below.
Q: Sentence: 'the street light is green in the city'. How many words end with the letter 't' in the sentence.
A: 2
Rationale: The words 'street', and 'light' end wit... | 2 | 9 | NIv2 | task163_count_words_ending_with_letter | fs_opt | [
-0.43192288279533386,
0.586959958076477,
-0.19140774011611938,
-0.7897120714187622,
0.016991477459669113,
-0.13734878599643707,
0.1346541941165924,
0.578614354133606,
0.128114253282547,
-0.33640313148498535,
-0.39924508333206177,
0.4323752820491791,
-0.15287193655967712,
-0.386249393224716... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Hebrew.
لاحقاً.. وبعد ستة أشهر.. سنحت لي فرصة الذهاب الى اليابان. | שישה חודשים לאחר מכן הייתה לי ההזדמנות לנסוע ליפן. | 0 | NIv2 | task1233_ted_translation_ar_he | zs_opt | [
-0.5692211985588074,
0.1398734152317047,
0.1443043053150177,
-0.39720940589904785,
-0.6545877456665039,
-0.040445372462272644,
0.3496593236923218,
-0.20668019354343414,
0.4406116306781769,
-1.0247530937194824,
0.18239113688468933,
0.04189436882734299,
-0.7910140156745911,
0.835504889488220... |
Instructions: In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.
Input: Sentence1: 'a sandwich sitting on top of a frying pan', Sentence2: 'a panda resting on a hard surface on the ground'. Is the frequency of the word 'the' in two sentences equal?
Output: | No | 3 | NIv2 | task159_check_frequency_of_words_in_sentence_pair | zs_opt | [
-0.795107364654541,
0.1421724259853363,
-0.3334609866142273,
0.21087327599525452,
-0.3805299401283264,
-0.4806242883205414,
0.908402144908905,
0.8946029543876648,
-0.12362194061279297,
-0.07080104202032089,
-0.5516110062599182,
-0.4471537470817566,
-0.3046582043170929,
0.274234414100647,
... |
Part 1. Definition
Given an Amazon review, indicate whether it is a 'Positive Review' or 'Negative Review'.
Part 2. Example
I was very surprised at the high quality of the stitching, the sturdiness of the handles and the padding for my laptop. The price is amazingly low and the look is very good. I am quite happy with ... | Positive Review | 7 | NIv2 | task1343_amazon_us_reviews_rating | fs_opt | [
0.6999657154083252,
-0.3933640420436859,
-1.1304285526275635,
0.24644587934017181,
0.7984397411346436,
-0.4643757939338684,
1.4136710166931152,
0.7397260069847107,
0.4381553530693054,
0.12422572821378708,
0.39686816930770874,
0.18694178760051727,
-0.20693890750408173,
-0.25127702951431274,... |
In this task, you will be shown an extract from a movie plot and a question. You need to provide the correct answer for it. Short answers containing words that are present in the passage are preferred.
The story starts with Andy Fiddler (Eugene Levy) preparing a speech that he is going to give to a dental convention i... | Answer: Murdered | 0 | NIv2 | task194_duorc_answer_generation | zs_opt | [
0.6074358820915222,
0.5159223675727844,
-0.5730962753295898,
0.12065538763999939,
0.2653064727783203,
0.25983330607414246,
0.6374021768569946,
0.7469691038131714,
-0.012491178698837757,
0.305542916059494,
-0.20829448103904724,
0.3163958191871643,
-0.7495383024215698,
0.5960590243339539,
... |
Teacher: In this task, you are given an input stream, and your task is to produce a grammatically correct version of the input sentence. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a grammatically correct version of the input stream. Stream... | ['So', 'I', 'went', 'to', 'the', 'school', 'for', 'Business', 'and', 'I', 'was', 'a', 'vocal', 'minor', 'I', 'had', 'to', 'take', 'an', 'elective', 'for', 'my', 'vocal', 'classes', 'and', 'it', 'was', 'called', 'music', 'technology.', 'And', 'it', 'was', 'all', 'about', 'you', 'know', 'microphones', 'and', 'speakers', ... | 2 | NIv2 | task1415_youtube_caption_corrections_grammar_correction | fs_opt | [
0.7699992656707764,
0.26319172978401184,
0.00784742459654808,
-0.33164864778518677,
0.5529048442840576,
-0.934773325920105,
0.03711944445967674,
1.0810226202011108,
-0.4615691900253296,
0.0953451618552208,
0.003358974354341626,
-0.3190722167491913,
-0.26557767391204834,
-0.4800337851047516... |
Q: Given a review text from amazon and its polarity (either positive or negative). Generate answer "True" if given sentence and its polarity match, otherwise generate answer "False". A review is considered positive if the reviewer is satisfied with the product. Otherwise, it is considered negative.
Review: For the pric... | False | 7 | NIv2 | task494_review_polarity_answer_generation | zs_opt | [
-0.7596427798271179,
-0.27433064579963684,
-0.21977494657039642,
-0.5107598900794983,
0.40760892629623413,
-1.0175740718841553,
0.3940863013267517,
0.4680628180503845,
0.18449726700782776,
0.5227356553077698,
0.12599031627178192,
0.2623123526573181,
-0.23119482398033142,
-0.547687768936157... |
Part 1. Definition
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-explicit if it explicitly portrays sexual matters.
Part 2. Example
Comment: President lied under oath ... | Non-sexual-explicit | 7 | NIv2 | task323_jigsaw_classification_sexually_explicit | fs_opt | [
-0.6778551340103149,
-0.2311413735151291,
0.5191243886947632,
0.23167362809181213,
0.4073032736778259,
-0.7754719257354736,
-0.24916739761829376,
0.4687517583370209,
0.12448085844516754,
0.4323911964893341,
0.19927242398262024,
-0.09292411804199219,
-0.3679147958755493,
-1.057753086090088,... |
Given the task definition and input, reply with output. In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language.
Pentru anul acesta, se așteaptă la vânzări de 94 de milioane de dolari și un profit de 26 de cenți pe acțiune din operațiuni... | For the year, it expects sales of $94 million and a profit of 26 cents a share from continuing operations. | 5 | NIv2 | task1435_ro_sts_parallel_language_translation_ro_to_en | zs_opt | [
-0.738737940788269,
0.979438066482544,
0.6094653606414795,
0.12155184894800186,
-0.3402394652366638,
0.5635443925857544,
0.05349954590201378,
0.46695446968078613,
0.9419947862625122,
-0.321147084236145,
-0.19876983761787415,
0.7546394467353821,
-0.3122115433216095,
-0.1643693894147873,
-... |
In this task, you are given a sentence in the English language from the various articles. Your task is to translate the given English sentence into the Yoruba language. Please bear in mind the following guidelines while doing the translation: 1) Generated output should have natural language and formal form. The output ... | Akowé àgbà fún ètò ìgbani sí iṣẹ́ Ogbeni William Alo ní òdiwọ̀n aláèlẹ́gbẹ́ ni ìyà tí àílàbò tó fí ń jẹ àwọn òṣìṣẹ́ àti gbígbìnyànjú ìlera àti ìdojúkọ tó ṣe faradà
****
| 4 | NIv2 | task1619_menyo20k-mt_en_yo_translation | fs_opt | [
0.3007369041442871,
0.29997485876083374,
0.039464887231588364,
0.5245712399482727,
0.2835090756416321,
-0.7362672090530396,
0.059526726603507996,
0.7035740613937378,
0.15650305151939392,
-0.5204346179962158,
-0.17447751760482788,
0.5034986138343811,
-0.18059077858924866,
0.4536700248718261... |
In this task, positions of two consecutive words have been swapped. You need to output the position of the swaped words. e.g. in the sentence 'Seattle has nice a weather', the word 'a' and 'nice' have been swapped. These words are at 3rd and 4th position respectively. So, the output should be (3, 4). Note that the inde... | (10, 11)
| 1 | NIv2 | task089_swap_words_verification | fs_opt | [
-0.15364007651805878,
0.503437876701355,
-0.39079833030700684,
-0.557214081287384,
0.20778724551200867,
-0.2681155204772949,
0.3367081880569458,
0.3742055296897888,
0.11008212715387344,
-0.30492255091667175,
-0.3927072584629059,
0.439212828874588,
-0.23996394872665405,
-0.12173111736774445... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in the Thai, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
แต่สมาชิกคณะกรรมการจริยธรรมแบ่งออกเป็นสองฝั่งเท่า ๆ กันระหว่าง Republica... | しかし、倫理委員会のメンバーは共和党員と民主党員がちょうど半分ずつである。 | 1 | NIv2 | task1128_alt_th_ja_translation | zs_opt | [
-0.6128274202346802,
-0.3358832597732544,
0.13396690785884857,
-0.00926910899579525,
-0.6502161622047424,
-0.26436182856559753,
0.7810460329055786,
-0.22959458827972412,
-0.09251554310321808,
0.13228261470794678,
-0.08549709618091583,
0.0699426680803299,
-0.12096326053142548,
0.46296483278... |
instruction:
Given a sentence in the Japanese and Central Khmer language. Your task is check if the Khamer sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
question:
Japanese: 「獣医が[今日]再びそこに来て、それらが実際に自分たちで泳いで海に出る前に、それらが蹴って前に進めるようにいくつかのビタミンを与えるとい... | Yes
| 9 | NIv2 | task1123_alt_ja_khm_answer_generation | fs_opt | [
-0.22846895456314087,
-0.6706492304801941,
-0.28821471333503723,
0.16166605055332184,
-0.40026697516441345,
-0.925281822681427,
0.824029803276062,
0.06617964804172516,
-0.4801141023635864,
-0.21074680984020233,
-0.075935959815979,
0.6816667318344116,
-0.7595812678337097,
0.5342926383018494... |
Given the task definition, example input & output, solve the new input case.
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 senten... | He was only twenty years old. | 1 | NIv2 | task270_csrg_counterfactual_context_generation | fs_opt | [
0.37049782276153564,
0.44650033116340637,
-0.4935089945793152,
0.4309500753879547,
0.5391044020652771,
-0.8279004096984863,
0.1676233410835266,
0.7686464786529541,
-0.01533625926822424,
-0.44786083698272705,
-0.6412467956542969,
-0.20146067440509796,
-0.43293482065200806,
-0.06007818505167... |
Q: In this task, positions of two consecutive words have been swapped. You need to output the position of the swaped words. e.g. in the sentence 'Seattle has nice a weather', the word 'a' and 'nice' have been swapped. These words are at 3rd and 4th position respectively. So, the output should be (3, 4). Note that the i... | (5, 6) | 7 | NIv2 | task089_swap_words_verification | zs_opt | [
-0.4950997233390808,
0.818329930305481,
-0.252923846244812,
-0.7507236003875732,
-0.07911218702793121,
-0.8078213930130005,
0.20616117119789124,
0.5603913068771362,
0.28854039311408997,
-0.1400715857744217,
-0.25826412439346313,
-0.10832004994153976,
-0.16023170948028564,
0.034953366965055... |
In this task, you are given an ambiguous question/query (which can be answered in more than one way) and a clarification statement to understand the query more precisely. Your task to classify that if the given clarification accurately clarifies the given query or not and based on that provide 'Yes' or 'No'.
Input: Co... | Output: No
| 2 | NIv2 | task227_clariq_classification | fs_opt | [
-0.6889592409133911,
-0.05223320797085762,
0.18913429975509644,
0.3712182641029358,
-0.1508147120475769,
-1.110356092453003,
0.49330073595046997,
0.22412404417991638,
0.009806305170059204,
0.5493078827857971,
0.6963670253753662,
-0.4036865830421448,
-0.09089253842830658,
-0.431594550609588... |
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 will be shown a Persian passage and question. You need to write a answer for the question. Try to keep your answers as short as possible.
هم حسی (synesthesia) فرایندی عصبشناختی اس... | ۲۲ درجه زیر صفر | 0 | NIv2 | task395_persianqa_answer_generation | fs_opt | [
0.02362074702978134,
0.06395883113145828,
-0.16004320979118347,
0.14718842506408691,
0.5010195970535278,
-0.13708719611167908,
0.9451708793640137,
0.657325267791748,
0.5695544481277466,
0.021942898631095886,
-0.76136314868927,
0.5471465587615967,
-0.024843480437994003,
0.2185332477092743,
... |
Detailed Instructions: Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels ... | ['CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'UNKNOWN_TYPE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'N... | 9 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | zs_opt | [
0.3681776225566864,
0.1963653266429901,
0.17799018323421478,
-0.5917134284973145,
0.23649100959300995,
-0.7531564235687256,
0.32628118991851807,
0.9463584423065186,
-0.3510662913322449,
0.16688241064548492,
-0.1931426227092743,
-0.17088770866394043,
-0.7705327272415161,
-0.0429911985993385... |
Given the task definition and input, reply with output. You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi.
Se l'insegnante medio di oggi potesse diventare bravo come quegli insegnanti, i nostri studenti surclasserebbero il resto del mondo.
| اگر آموزگاران متوسط بتوانند به خوبی آنها بشوند ، دانش آموزان ما بقیه جهان را خواهد بلعید. | 5 | NIv2 | task1254_ted_translation_it_fa | zs_opt | [
-0.44972503185272217,
0.9126454591751099,
0.48485666513442993,
-0.6630820035934448,
-0.13363420963287354,
0.30240103602409363,
0.06950341910123825,
0.7689491510391235,
0.4448124170303345,
0.11324141174554825,
-0.8940364122390747,
0.533929705619812,
-0.3171784281730652,
-0.24198193848133087... |
Definition: In this task, you're given a statement and three sentences as choices. Your job is to determine which sentence can be inferred from the statement. Incorrect choices change the meaning in important ways or have details that are not mentioned in the statement. Indicate your answer as 1,2, or 3 corresponding t... | 2 | 2 | NIv2 | task200_mnli_entailment_classification | zs_opt | [
0.13556694984436035,
0.29236191511154175,
-0.37948957085609436,
0.25982362031936646,
-0.03213973343372345,
-0.15626835823059082,
0.7791486382484436,
0.3152211904525757,
0.4244006276130676,
-0.01061832346022129,
-0.7117546200752258,
-0.07896317541599274,
-0.1445755958557129,
-0.330107361078... |
Given a paragraph and a claim, classify it this way: If the claim contradicts the evidence present in the paragraph, classify the claim as '0'. If the claim has multiple supporting *AND* contradicting evidences, classify the claim as '1'. If the claim has supporting evidence and the paragraph is in overall favor of the... | Output: 1
| 2 | NIv2 | task1366_healthfact_classification | fs_opt | [
0.9002346396446228,
0.4443984031677246,
-0.532293438911438,
0.20835155248641968,
0.32757487893104553,
-0.5727936029434204,
-0.15551532804965973,
1.0475401878356934,
-0.8934634923934937,
0.3385569453239441,
-0.36216291785240173,
0.08361619710922241,
-0.2880200445652008,
0.32503896951675415,... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a summary for US Congressional and California state bill, your task is to generate a Title for this bill. The preferred titles are under forty words and mention the purpos... | To revise the boundary of the Black Canyon of the Gunnison National Park and Gunnison Gorge National Conservation Area in the State of Colorado, and for other purposes. | 0 | NIv2 | task1659_title_generation | fs_opt | [
0.12453370541334152,
0.03918846324086189,
-0.17394474148750305,
-0.4107176959514618,
0.32950592041015625,
-0.9170281887054443,
0.26292455196380615,
1.14570152759552,
-0.6835453510284424,
0.34783464670181274,
0.4181838035583496,
-0.12513335049152374,
-0.7790237665176392,
-0.025803342461586,... |
You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
Leroy told us all about the recent hilarious events. | male | 0 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | zs_opt | [
-0.8434818983078003,
0.6509726643562317,
-0.24195483326911926,
-0.6632682085037231,
-0.49204736948013306,
-0.3974476754665375,
0.20897826552391052,
0.16441240906715393,
0.896798849105835,
-0.004102582111954689,
-1.1367030143737793,
-0.15800932049751282,
-0.4461515545845032,
0.3072383999824... |
Instructions: Given a sentence in Chinese, generate a new Chinese sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable proba... | 你可能会在山脉里找到蜥蜴 | 3 | NIv2 | task412_mickey_zh_sentence_perturbation_generation | zs_opt | [
-0.7186592817306519,
0.21254755556583405,
-0.6016399264335632,
-0.6389608383178711,
-0.1497412472963333,
-0.011541619896888733,
0.20412319898605347,
0.6154502630233765,
0.37478622794151306,
-0.7072824239730835,
-0.6720079183578491,
-0.04879399761557579,
-0.11612224578857422,
0.187664642930... |
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