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.
In this task, you are given a sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
Englis... | Yes | 1 | NIv2 | task437_alt_en_ja_answer_generation | zs_opt | [
-0.2326492965221405,
0.07076063752174377,
0.5469367504119873,
-0.1527097374200821,
0.4737134575843811,
-0.7021744251251221,
0.8025546073913574,
0.40833908319473267,
0.3880617320537567,
-0.0849798247218132,
0.29670876264572144,
0.01480153389275074,
-0.0730617418885231,
0.3746914863586426,
... |
Definition: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into English.
Input: 学校に行く前に多くの人達からこう言われました「教育の質が低いのは教員が怠惰で学校に来ないからだ」とか「能力不足で指導法が分かっていないからだ」と
Output: | Before we went into schools, a lot of people told us that education quality is poor because either the teachers are lazy, they don't come into schools, or they're incapable, they actually don't know how to teach. | 2 | NIv2 | task1222_ted_translation_ja_en | zs_opt | [
-0.20613208413124084,
-0.161239355802536,
0.2835717797279358,
-0.9423615336418152,
0.2853665351867676,
-0.8271276354789734,
-0.6926519870758057,
0.5167694687843323,
0.06670823693275452,
-0.6713388562202454,
0.08479629456996918,
-0.03255622833967209,
-0.4402502179145813,
-0.1537447869777679... |
In this task, you're given passages that contain mentions of names of people, places, or things. Some of these mentions refer to the same person, place, or thing. Your job is to write questions that evaluate one's understanding of such references. Good questions are expected to link pronouns (she, her, him, his, their,... | How many public airports are in Virginia?
| 7 | NIv2 | task001_quoref_question_generation | fs_opt | [
0.6085287928581238,
0.870142936706543,
-0.5947479009628296,
0.31020909547805786,
1.1540441513061523,
-0.03127618879079819,
0.7394614219665527,
0.6867195963859558,
-0.0553666427731514,
0.6351346373558044,
0.28050875663757324,
0.7999945878982544,
-0.9129846692085266,
0.37012040615081787,
-... |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
Q: Patrzyliby na to -,, ach, to jest rysunek "". Potem po ponownym przyjrzeniu się, widać, że to rzeczywiście istniało w czasie,
A: | E in effetti l'avrebbero percepito come un disegno a matita. Poi confrontate i fili col disegno e vedete che in effetti é qualcosa che esisteva nel tempo, | 9 | NIv2 | task1262_ted_translation_pl_it | zs_opt | [
-0.4461499750614166,
0.22856219112873077,
0.27883380651474,
0.09551545977592468,
-0.8638632893562317,
-1.0573064088821411,
0.6390463709831238,
1.1839244365692139,
0.47346633672714233,
-0.5271735191345215,
-0.49130314588546753,
0.2495398223400116,
0.299260675907135,
0.3333747982978821,
0.... |
instruction:
You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
question:
E ovviamente, Alessandro non poteva sostenere un governo e lo ha frammentato.
answer:
Y, por supuesto, Alejandro no pudo sostener un gobierno y se fragmentó.
question:
Il secondo comandamento di sta... | Ahora eso ha desaparecido. Y ahora tienen grandes problemas económicos.
| 9 | NIv2 | task1249_ted_translation_it_es | fs_opt | [
-0.20169687271118164,
0.7294101715087891,
0.6661940813064575,
-0.18080776929855347,
-0.37907740473747253,
-0.26834267377853394,
0.004050116520375013,
1.4269249439239502,
-0.5048160552978516,
-0.4583633542060852,
-0.19640100002288818,
0.12806233763694763,
-0.31270527839660645,
0.31493672728... |
instruction:
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Sentence 2 contradicts sentence 1. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using ... | A person is mountain biking in Colorado.
| 9 | NIv2 | task185_snli_contradiction_to_neutral_text_modification | fs_opt | [
-0.6910640001296997,
0.8803894519805908,
-0.6213173866271973,
-0.6967419385910034,
-0.25465020537376404,
-0.5050248503684998,
-0.04285016655921936,
0.37608444690704346,
0.49809789657592773,
-0.32409927248954773,
-1.0581235885620117,
-0.25719738006591797,
-0.37242722511291504,
-0.3756138086... |
In this task you will be given a list of integers. You should find the minimum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the smallest possible absolute distance.
Q: [21, 1, 71, -1... | 13 | 4 | NIv2 | task1445_closest_integers | zs_opt | [
-0.7727677226066589,
0.8397012948989868,
0.30813735723495483,
-0.73274165391922,
-0.4998384118080139,
-0.37198927998542786,
1.1629160642623901,
-0.17604835331439972,
0.35009312629699707,
-0.07363671809434891,
-0.09731249511241913,
-0.12941130995750427,
-0.3578828275203705,
-0.1425838619470... |
In this task, you are given a sentence from the research paper and the category to which it belongs. Your task is to classify whether the given category is correct or not by providing "True" and "False", respectively. Here are the definitions for the categories: Background (Why is this problem important? What relevant ... | False | 4 | NIv2 | task1164_coda19_section_correction_classification | zs_opt | [
-0.20535066723823547,
0.28190791606903076,
-0.1756327599287033,
-0.2015385925769806,
-0.22349460422992706,
0.11551427096128464,
0.5889011025428772,
0.9882181286811829,
-0.05544007569551468,
-0.12955397367477417,
-0.8810650110244751,
-0.10023418068885803,
-0.3227469325065613,
0.098813861608... |
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.
On... | When did the fast and the furious start filming?
July 2000 | 6 | NIv2 | task671_ambigqa_text_generation | fs_opt | [
-0.33491605520248413,
0.2751461863517761,
0.19855955243110657,
-0.8024005889892578,
-0.2101699411869049,
0.25139108300209045,
0.48544323444366455,
0.3109830617904663,
-0.1356811821460724,
-0.5664194822311401,
-0.3308960199356079,
0.19158416986465454,
-1.118146538734436,
0.1803130805492401,... |
In this task, you are given a context paragraph of the tweet and question. Your task is to generate right answer of given question based on given context tweet paragraph.
Context: POWERFUL! 👊 Zimbabweans standing together against "corruption, injustice & poverty". #ThisFlag #ZimShutDown2016 Leandri J van Vuuren (@Lea... | ann coulter
| 0 | NIv2 | task239_tweetqa_answer_generation | fs_opt | [
-0.23341530561447144,
0.753032386302948,
0.10001729428768158,
-0.0011658035218715668,
0.01281420886516571,
-0.16711053252220154,
-0.027720030397176743,
0.4386138617992401,
-0.12974324822425842,
0.16484466195106506,
-0.05220001935958862,
0.33117055892944336,
-0.7180067896842957,
-0.18739140... |
Definition: Given a question and a context passage, generate the answer having the word or phrase from the context passage. Here, the answer should be a shortest continous span from the passage.
Input: Context: Chronic myelogenous leukemia (CML) is caused by the BCR-ABL tyrosine kinase, the product of the Philadelphia ... | bcr-abl | 2 | NIv2 | task469_mrqa_answer_generation | zs_opt | [
0.7840123176574707,
0.13867849111557007,
-0.13449043035507202,
-0.3653559982776642,
0.9194164276123047,
-0.564396858215332,
0.8007338047027588,
0.9577596187591553,
0.35947152972221375,
0.21577827632427216,
-0.8707253932952881,
0.4410356283187866,
-0.6934825778007507,
0.44095367193222046,
... |
Given the task definition and input, reply with output. Given a sentence in the Japanese, provide an equivalent translation in Bahasa Indonesia that retains the same meaning through the translation. In translation, keep numbers as it is.
その火災は、まだ原因が分からず、消火まで1時間半に渡って燃え続けた。
| Api tersebut, yang penyebabnya belum diketahui, terbakar selama satu setengah jam sebelum dapat dipadamkan. | 5 | NIv2 | task1115_alt_ja_id_translation | zs_opt | [
0.12463562935590744,
1.1103289127349854,
0.11413107067346573,
-0.1724085956811905,
-0.41733071208000183,
-0.6312894821166992,
0.6005021333694458,
-0.04559149593114853,
-0.2769702970981598,
-0.4644453227519989,
-0.7045363187789917,
0.641453206539154,
-1.3122246265411377,
0.5011152029037476,... |
Given a scientific question, generate a correct answer to it.
[EX Q]: What force increases a slide downhill and decreases a slide uphill?
[EX A]: gravity
[EX Q]: What are the ice crystals that form on the ground called?
[EX A]: frost
[EX Q]: What branch of science aims to understand all about our planet and its envi... | earth science
| 6 | NIv2 | task591_sciq_answer_generation | fs_opt | [
-0.12610334157943726,
0.9882904291152954,
0.09267920255661011,
-0.5080461502075195,
-0.24824921786785126,
-1.0749530792236328,
-0.08698784559965134,
0.4052911400794983,
-0.319704532623291,
-0.6906245946884155,
-0.9313036203384399,
0.07280373573303223,
-1.7152483463287354,
0.334501296281814... |
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 from the Bible in English, and your task is to translate it into Persian.
In the beginning God created the heaven and the earth.
Solution: در ابتدا، خدا آسمانه... | و یک بز نر بجهت قربانی گناه، سوای قربانی سوختنی دائمی و هدیه آردیاش و هدیه ریختنی آن. | 0 | NIv2 | task655_bible_en_fa_translation | fs_opt | [
-0.02697182446718216,
1.381520390510559,
0.09710350632667542,
-0.21220162510871887,
-0.6910309791564941,
-0.2243531048297882,
0.829639196395874,
0.797825276851654,
0.30108368396759033,
0.3425859808921814,
-0.9128252267837524,
0.6966997385025024,
-0.5511247515678406,
-0.005884290207177401,
... |
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.
Article: Bruce Alberts, the former Pre... | No
| 0 | NIv2 | task310_race_classification | fs_opt | [
0.18890982866287231,
0.6109440922737122,
-0.4347461462020874,
-0.45815038681030273,
0.17683453857898712,
-0.46167224645614624,
-0.07709744572639465,
0.3617580533027649,
-0.5106104612350464,
0.03936048597097397,
0.08394129574298859,
0.27162906527519226,
-0.310732364654541,
-0.19279892742633... |
Given the task definition and input, reply with output. You will be given a summary of a story. You need to create a question that can be answered from the story. You can create a question about characters, events, facts and beliefs, etc. Your question should be specific, try not to use pronouns instead of full names. ... | Where is the boarding-house located? | 5 | NIv2 | task405_narrativeqa_question_generation | zs_opt | [
0.27874085307121277,
0.5301328897476196,
-0.14287957549095154,
-0.24221712350845337,
0.3921463191509247,
-0.3906594216823578,
0.5669258832931519,
0.3179197907447815,
-0.23504102230072021,
0.09418930113315582,
0.06608689576387405,
0.6993150115013123,
-0.3094296157360077,
0.04991769790649414... |
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.
[EX Q]: -സാങ്കേതികമായി ഉയര്ന്ന ഗുണനിലവാരമുള്ള തീറ്റപ്പുല്ല് വികസിപ്പിക്കുക, തീറ്റയുമായി ബന്ധപ്പെട്ട മരങ്ങളുടെ നഴ്സറിയും തീറ്റ വിളകളും വികസിപ്പിക്ക... | ਇਹ ਅੱਜ ਤੱਕ ਲਗਾਤਾਰ ਵਿਕਸਿਤ ਹੋ ਰਿਹਾ ਹੈ।
| 6 | NIv2 | task1005_pib_translation_malayalam_punjabi | fs_opt | [
-1.243443250656128,
0.3735557198524475,
-0.19818276166915894,
0.09335117042064667,
-0.6051465272903442,
-1.2179797887802124,
0.9616981148719788,
1.0067830085754395,
-0.698405921459198,
0.03408452868461609,
-0.6331964731216431,
-0.2537907660007477,
-0.5073227882385254,
0.2579909563064575,
... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Spanish.
Example Input: A ilość katastrof na całym świecie rosła w absolutnie niezwykłym i nieoczekiwanym tempie.
Example Output: Y los desastres en todo el mundo se han incrementado a un ritmo totalmente insólito y sin precedentes.
... | Observan con mucha atención cómo debe ser tocada una botella de whisky.
| 3 | NIv2 | task1258_ted_translation_pl_es | fs_opt | [
-0.3765236735343933,
1.2131956815719604,
-0.4025144577026367,
0.10329239070415497,
-0.540276288986206,
-0.939734697341919,
-0.07023125886917114,
0.5532286167144775,
-0.15253347158432007,
-0.5562379360198975,
-1.0046021938323975,
0.6409590244293213,
-0.5366925001144409,
0.37776726484298706,... |
Q: In this task, you are given a sentence in either Spanish or English. Your task is to determine the language of the input sentence. Input sentences can only be in Spanish or English, and they cannot be in two languages at the same time.
Cuando se iniciaron las negociaciones entre la UE y China, se nos dijo a los di... | Spanish | 7 | NIv2 | task533_europarl_es-en_language_identification | zs_opt | [
-0.27105557918548584,
0.7339119911193848,
0.2881195843219757,
-0.2680893838405609,
0.30139607191085815,
-0.31852370500564575,
-0.4838985204696655,
0.6050669550895691,
-0.10182896256446838,
-0.01241972018033266,
0.004653364885598421,
0.2164580523967743,
-0.017835315316915512,
-0.34233418107... |
Teacher:In this task, you are given an abstract of article. Your task is to generate label "True" if abstract is structured, otherwise generate "False". A structured abstract is composed of a topic sentence (or key sentence), relevant supporting sentences, and a closing (or transition) sentence. This structure is key t... | False | 6 | NIv2 | task1589_scifact_classification | zs_opt | [
-0.016011908650398254,
0.18563202023506165,
-0.4012175500392914,
-0.29635387659072876,
-0.38008442521095276,
-0.777337908744812,
0.4037995934486389,
0.8282120227813721,
-0.128846675157547,
-0.45432716608047485,
-1.2903491258621216,
0.2105681300163269,
-0.41841334104537964,
-0.2568629980087... |
This task involves creating questions from a given passage that involve some kind of complex reasoning (including numerical reasoning).
The generated questions must require looking at more than one part of the passage to answer. Try to use a variety of reasoning types in your questions (some of the sample reasoning ty... | How many more percentage points of the population is between 0 and 14 years than 65 and older? | 3 | NIv2 | task026_drop_question_generation | fs_opt | [
0.8438441753387451,
0.6726169586181641,
-0.016712985932826996,
-0.3459850251674652,
0.41812455654144287,
-0.7438927292823792,
0.7026962041854858,
0.6773670315742493,
0.44904273748397827,
0.2543509006500244,
-0.5764356851577759,
0.6852476596832275,
-1.2150194644927979,
0.06500192731618881,
... |
In this task you will be given a process, and a question. The process contains a sequence of steps that happen in order. The question asks about the effect of a certain event on another event. If the first event has a positive effect on the second event, answer with "for", if it has a negative effect, answer with "agai... | against
| 5 | NIv2 | task1727_wiqa_what_is_the_effect | fs_opt | [
0.06304700672626495,
0.36317574977874756,
-0.6287807822227478,
0.01026073843240738,
-0.38541778922080994,
-0.7214769124984741,
0.21450288593769073,
0.8463586568832397,
0.055253028869628906,
0.022769905626773834,
-0.7063276767730713,
0.051146894693374634,
-1.173671007156372,
0.1412666738033... |
You are given a review about a place. You need to provide a rating from "1 star" to "5 stars" for this place.
Ex Input:
I quite like this venue. It has a vintage, cozy feel although it is a decently large venue. It's been around for ages, and hosted many a performance... you can almost feel its history when you walk i... | 5 stars
| 1 | NIv2 | task1292_yelp_review_full_text_categorization | fs_opt | [
0.5143059492111206,
-0.3349091112613678,
-0.6913071274757385,
-0.1870115101337433,
0.7743253707885742,
-0.8548169732093811,
0.2490857094526291,
0.5549564957618713,
-0.09958627820014954,
0.3516817092895508,
0.8225944638252258,
-0.278490275144577,
-0.26237156987190247,
-0.019223932176828384,... |
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... | Yes | 5 | NIv2 | task1201_atomic_classification_xintent | zs_opt | [
0.23869669437408447,
0.42494717240333557,
0.44547486305236816,
-0.030192404985427856,
-0.39318418502807617,
-0.4465959072113037,
0.8592693209648132,
0.5771585702896118,
-0.3494766354560852,
-0.1711253821849823,
-0.46343377232551575,
-0.48963087797164917,
-0.8600253462791443,
0.200597316026... |
Detailed Instructions: In this task, you are given two sets, and a question. You need to find whether an element is at the intersection of two given sets. A Set is shown by two curly braces and comma-separated numbers inside, like {1, 2, 3}. The intersection of two given sets is the largest set which contains all the ... | No | 8 | NIv2 | task245_check_presence_in_set_intersection | zs_opt | [
0.4740402102470398,
0.1301683485507965,
-0.5290262699127197,
0.2454846352338791,
-0.28369230031967163,
-0.41883453726768494,
1.0913634300231934,
0.6441129446029663,
-0.09362304210662842,
0.07667751610279083,
-0.375699907541275,
0.2602149546146393,
-0.02120818942785263,
-0.19687290489673615... |
You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.
Mrs. Santiago has 58 red roses . Mrs. Garrett has 24 . How many more red roses does Mrs. S... | 34 | 0 | NIv2 | task865_mawps_addsub_question_answering | zs_opt | [
-0.1688205748796463,
0.8929858207702637,
-0.28804564476013184,
-0.38880130648612976,
-0.019218936562538147,
-0.9307305216789246,
0.39949366450309753,
0.8924980163574219,
0.24958842992782593,
-0.6788734197616577,
-0.6254248023033142,
0.10603306442499161,
0.041783034801483154,
0.547892749309... |
In this task, you are given a sentence from the research paper and the category to which it belongs. Your task is to classify whether the given category is correct or not by providing "True" and "False", respectively. Here are the definitions for the categories: Background (Why is this problem important? What relevant ... | False
| 6 | NIv2 | task1164_coda19_section_correction_classification | fs_opt | [
0.15308944880962372,
0.0715138241648674,
-0.6986510157585144,
-0.31798475980758667,
-0.14403991401195526,
-0.2095673680305481,
0.6142501831054688,
1.041413426399231,
0.1972143054008484,
-0.11131925880908966,
-0.9370739459991455,
0.4502900242805481,
-0.18974298238754272,
0.3834393620491028,... |
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. | 4 | NIv2 | task050_multirc_answerability | fs_opt | [
-0.6017343997955322,
0.18790140748023987,
0.37783053517341614,
0.6444792151451111,
-0.4874189794063568,
-1.870021104812622,
0.3717336058616638,
0.7255224585533142,
0.1579977571964264,
0.08866756409406662,
-0.1124345064163208,
-0.10966907441616058,
-0.10789241641759872,
-0.06196592003107071... |
Instructions: In this task, you are given a sentence in Persian, and your task is to translate it into English.
Input: الجنید به محض دریافت این تهدید، تصویر پیغام را در دیوار فیسبوکش به نمایش گذاشت.
Output: | Once Al-Junid got the threat, he posted its screenshot on his Facebook wall. | 3 | NIv2 | task662_global_voices_fa_en_translation | zs_opt | [
-1.653672456741333,
1.1662216186523438,
-0.2577751874923706,
-1.209500789642334,
-0.6307564377784729,
0.1770247519016266,
0.7217651009559631,
-0.1499059647321701,
0.3313175439834595,
-0.06180589273571968,
0.20279204845428467,
0.2021656483411789,
-1.0168638229370117,
0.25160712003707886,
... |
Q: In this task, you are given Twitter posts. Your task is to label the post's emotion (as expressed by the user) as sadness, joy, love, anger, fear, or surprise.
i was more annoyed with the info dump because it made the book too long but i feel i ll miss something if i skipped it which annoyed me more pages
A: | anger | 7 | NIv2 | task512_twitter_emotion_classification | zs_opt | [
-1.077107548713684,
-0.04913513362407684,
0.2783510684967041,
-0.13952293992042542,
0.08560964465141296,
-0.31985151767730713,
0.4602532386779785,
0.03997111693024635,
-0.003025020007044077,
0.11537256836891174,
0.1274382472038269,
-0.6516776084899902,
-0.7426705360412598,
0.20267078280448... |
Detailed Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
Q: و كايلي — أعني أن كايلي كانت بمثابة طفلتها هي.
A: | E Kyle... voglio dire, era quasi come se Kyle fosse sua figlia. | 9 | NIv2 | task1106_ted_translation_ar_it | zs_opt | [
-0.45280513167381287,
1.639775276184082,
-0.6609588861465454,
0.05551721528172493,
-0.7726743817329407,
-0.08407486975193024,
0.937774121761322,
1.369028091430664,
0.7078620195388794,
-0.0564303882420063,
0.03863061964511871,
0.2597561478614807,
-0.02453378587961197,
0.9527188539505005,
... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi.
Con un cellulare potete fermare un crimine contro l'umanità in Siria. Con un cellulare, | با یک گوشی تلفن همراه ، می تونید از یک جنایت علیه بشریت در سوریه فیلمبرداری کنید. با یک گوشی تلفن همراه | 0 | NIv2 | task1254_ted_translation_it_fa | zs_opt | [
-0.16282735764980316,
0.7882384061813354,
-0.49989089369773865,
-0.7411322593688965,
-0.7658729553222656,
-0.3991287350654602,
-0.10195285826921463,
0.9082596302032471,
0.1811085343360901,
0.9898394346237183,
-0.9741429090499878,
0.8436846733093262,
0.026354346424341202,
-0.175386443734169... |
Detailed Instructions: In this task you will be given a list of numbers. You should remove any number that is not an integer (whole number). If every number is not an whole number then an empty list ("[]") should be returned. Otherwise, answer with the list of whole numbers separated by comma inside brackets.
Problem:[... | [90, -49, -45] | 8 | NIv2 | task367_synthetic_remove_floats | zs_opt | [
-0.1615736335515976,
0.5172626376152039,
-0.3285975158214569,
-1.033090353012085,
-0.5553079843521118,
-0.6742140054702759,
1.2682240009307861,
0.5055022239685059,
-0.18702873587608337,
0.295149028301239,
-0.5894958972930908,
0.318053662776947,
-0.16459223628044128,
0.1884058117866516,
-... |
Detailed Instructions: Given an entity as input, output another entity which is part of the input entity. These are entities of meronym. In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., output entity) is in a part-of rel... | pyramidal cell | 8 | NIv2 | task471_haspart_answer_generation | zs_opt | [
-0.6731768846511841,
0.38384947180747986,
0.3717423677444458,
0.1247435063123703,
-0.578323483467102,
-0.047895170748233795,
-0.11942487955093384,
0.3713831305503845,
0.7208843231201172,
-0.8941490054130554,
-0.6655979156494141,
-0.0011972880456596613,
-0.18539749085903168,
0.1581351459026... |
Given the task definition, example input & output, solve the new input case.
Given an Amazon review, indicate whether it is a 'Positive Review' or 'Negative Review'.
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 lo... | Positive Review | 1 | NIv2 | task1343_amazon_us_reviews_rating | fs_opt | [
0.13135868310928345,
-0.4482450783252716,
-0.3474804162979126,
0.051434777677059174,
0.6660487651824951,
-0.14693428575992584,
0.6003515720367432,
0.6268168687820435,
0.9552149176597595,
0.768902599811554,
-0.26909339427948,
-0.3060718774795532,
0.32655173540115356,
-0.22412648797035217,
... |
Detailed Instructions: In this task, you are given a sentence in the Japanese 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).
Q: オリンピックでの唯一のアーチェリーのイベントがターゲット・リカーブ競技で、イングレイが選手権で参... | The only Olympic archery event is the target recurve competition, and it is the only event Ingley will be participating in at Nationals. | 9 | NIv2 | task436_alt_ja_en_translation | zs_opt | [
0.4497615694999695,
0.4185529351234436,
0.43508589267730713,
-0.8078820109367371,
0.48953109979629517,
-0.40107181668281555,
0.29942089319229126,
0.2637767195701599,
0.06731174886226654,
-0.4773772656917572,
-0.4009769558906555,
0.01355573907494545,
-0.3785717487335205,
0.4371395707130432,... |
Given the task definition and input, reply with output. In this task, you are given a text which is the body of a document. You are given a question and options. Pick the correct number. Don't generate anything else apart from the numbers provided in options.
Context: Gyros is a genus of moths of the Crambidae family.... | 5 | 5 | NIv2 | task633_dbpedia_14_answer_generation | zs_opt | [
-0.45520904660224915,
0.5402168035507202,
0.28557848930358887,
0.4324682354927063,
-0.07309093326330185,
-0.6689445972442627,
-0.23242045938968658,
-0.20733191072940826,
-0.09460760653018951,
-0.44628608226776123,
-1.288620948791504,
0.02698945812880993,
0.21509569883346558,
0.304561674594... |
In this task, you are given a paper review. Based on the review, your job is to identify language and generate "en" if the review is in English or generate "es" if the review is in Spanish. Note that URLs in the text have been replaced with [Link].
One example: Este artículo no es un artículo de investigación, ya que s... | es | 6 | NIv2 | task265_paper_reviews_language_identification | fs_opt | [
-0.8979336023330688,
0.31727278232574463,
0.4587988257408142,
0.28330451250076294,
0.032491788268089294,
-1.1024136543273926,
0.49167096614837646,
0.691697359085083,
-0.2565368115901947,
0.45816099643707275,
-0.4424572288990021,
0.22074168920516968,
0.06368652731180191,
0.03650552406907081... |
You will be given a definition of a task first, then some input of the task.
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical pr... | SCONJ | 1 | NIv2 | task583_udeps_eng_coarse_pos_tagging | zs_opt | [
0.7689568996429443,
0.17556200921535492,
-0.04057401418685913,
-0.005003396421670914,
0.012205461040139198,
-0.4732047915458679,
0.8636943101882935,
0.5187782049179077,
-0.43037480115890503,
-0.1308094561100006,
-0.2694850265979767,
0.019700869917869568,
-0.4441679120063782,
0.523766875267... |
Given the task definition and input, reply with output. In this task, you are given two strings A, B. Find the longest common substring in the strings A and B.
mkRlgPkFoZcmEPjr, iVPkFoZcmHAxO
| PkFoZcm | 5 | NIv2 | task600_find_the_longest_common_substring_in_two_strings | zs_opt | [
-0.03657529503107071,
0.8007084727287292,
0.4556807279586792,
-0.07814548909664154,
-0.21452507376670837,
-0.1296907365322113,
0.4975568652153015,
-1.3289821147918701,
0.07333013415336609,
-0.6638218760490417,
-0.8142072558403015,
-0.5471267700195312,
-0.10325680673122406,
0.31790184974670... |
In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every even number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no even numbers in an inner list you sho... | [-243712, -4992, -720, -1152, -448, 18, -22, -2, 2024, 240, -96, -8448, -24, -1152]
| 0 | NIv2 | task851_synthetic_multiply_evens | fs_opt | [
-0.0019363148603588343,
0.1510530412197113,
-0.9912536144256592,
0.06222517043352127,
-0.024846479296684265,
-0.1423390656709671,
0.8323007822036743,
0.8943077325820923,
-0.598787784576416,
-0.4110565781593323,
-0.8321660161018372,
0.18523123860359192,
-0.5420976877212524,
-0.3736364245414... |
Instructions: The provided file includes inquiries about restaurants in Italian, and we ask you to translate those to English language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NO... | find the restaurants with a rating of 5 . | 3 | NIv2 | task255_spl_translation_it_en | zs_opt | [
-0.07374085485935211,
0.6010615229606628,
0.012594159692525864,
0.36381298303604126,
-0.04668136686086655,
-0.4340958297252655,
0.6996645927429199,
0.7424713373184204,
-0.5052269697189331,
-0.2717258930206299,
0.3742613196372986,
0.6096559762954712,
-0.2460223287343979,
0.26996910572052,
... |
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_) and their corresponding answer. The sentence pair should look similar, and should be about two related but different objects; for example "trophy" and "suitcase". Additionally, the two sentences must b... | Sentence 1: She changed her university course from mathematics to history, because the _ course is too complex.
Answer1: mathematics.
Sentence 2: She changed her university course from mathematics to history, because the _ course is more simple.
Answer2: history.
****
| 4 | NIv2 | task029_winogrande_full_object | fs_opt | [
0.44999152421951294,
0.41960230469703674,
0.02837069146335125,
-0.14752189815044403,
0.801917314529419,
-0.7013254165649414,
0.5132075548171997,
1.214425802230835,
-0.8561479449272156,
-0.19871917366981506,
-0.35373905301094055,
-0.03370005264878273,
-0.6136049032211304,
-0.015889925882220... |
Detailed Instructions: Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating quest... | Is a high body mass index in esophageal cancer patients associated with adverse outcomes following esophagectomy? | 9 | NIv2 | task847_pubmedqa_question_generation | zs_opt | [
0.7593622207641602,
-0.0260978601872921,
-0.5719592571258545,
-0.16504395008087158,
0.7650548219680786,
-0.49074819684028625,
1.0546494722366333,
0.9361839890480042,
0.3253805935382843,
0.18012399971485138,
-0.6597217321395874,
0.6763348579406738,
-0.5087565183639526,
0.6702388525009155,
... |
In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal.
Here are the defications ... | majority | 6 | NIv2 | task212_logic2text_classification | fs_opt | [
0.20780232548713684,
-0.29526233673095703,
-0.47496429085731506,
0.2986098527908325,
0.3639369606971741,
-0.5314186215400696,
0.7913339734077454,
0.6703905463218689,
0.3697599768638611,
0.007297763600945473,
-0.04132962226867676,
0.1612723469734192,
-0.05199266970157623,
0.4443542957305908... |
Detailed Instructions: Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that... | look and walk around left twice | 8 | NIv2 | task129_scan_long_text_generation_action_command_short | zs_opt | [
0.330997496843338,
0.8954766988754272,
-0.5590150356292725,
-0.0994601845741272,
-0.09365760535001755,
0.4906184673309326,
0.04663888365030289,
0.5761557817459106,
-0.43583202362060547,
-0.3296689987182617,
-0.6257133483886719,
-0.48231884837150574,
-0.6071388125419617,
0.04278124123811722... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Let me give you an example: Poradzi sobie, ale trzeba na nią uważać.
The answer to this example can be: لذا نعلم أنها ستكون ناجحة. ولكن علينا مراقبتها
Here is why: The Polish sentence is correctly translated into Arabic, beca... | وأخيرا — وهذه صورة لكم للناجين من عمليات زراعة نخاع العظام الذين يجتمعون سنويا في ستانفورد | 8 | NIv2 | task1259_ted_translation_pl_ar | fs_opt | [
-0.3598310649394989,
0.8938817381858826,
-0.10252577811479568,
-0.8801779747009277,
-0.11625857651233673,
-0.8441961407661438,
1.032105565071106,
-0.4564915895462036,
0.6335451602935791,
0.5071557760238647,
-0.5713986158370972,
0.7770432233810425,
-1.0155986547470093,
0.7068323493003845,
... |
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".
Q: Abstract: Candida albicans produces lipid metabolites that are functionally similar to host prostaglandins. These studies, using mass ... | yes
****
| 4 | NIv2 | task1587_scifact_classification | fs_opt | [
0.3342844843864441,
-0.02691357582807541,
-0.7948567271232605,
0.451315313577652,
0.4796832799911499,
-0.05152047052979469,
0.30117958784103394,
0.9049639105796814,
-0.28875815868377686,
0.6455807685852051,
-0.737533450126648,
0.14062127470970154,
-0.3282480239868164,
0.15859195590019226,
... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a context sentence containing a blank (_). You are expected to fill the blank with one word to make the sentence convey a cultural stereotype. A stereotype is an over-generalized belief about a particular group of p... | communist | 1 | NIv2 | task277_stereoset_sentence_generation_stereotype | fs_opt | [
0.0061034392565488815,
0.42150455713272095,
-0.6389896869659424,
0.016405638307332993,
0.762794017791748,
-0.29475489258766174,
0.6134936809539795,
1.7711470127105713,
0.25056615471839905,
-0.20887891948223114,
-0.37481752038002014,
-0.510375440120697,
0.04477131366729736,
0.10171046853065... |
instruction:
In this task your given two statements in Tamil. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
question:
போக்குவரத்தை ஒழுங்குபடுத்தும் விளக்கு மஞ்சள் ... | cause
| 9 | NIv2 | task1177_xcopa_commonsense_cause_effect_ta | fs_opt | [
-0.10987815260887146,
0.0974959284067154,
0.31544309854507446,
-0.4704679548740387,
-0.19695305824279785,
-0.6547606587409973,
-0.30207177996635437,
1.0042277574539185,
0.27097323536872864,
0.3662654161453247,
-0.5194358229637146,
-0.2515454888343811,
-0.4049854576587677,
-0.23986631631851... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew.
そこで私は仲間たちと共にここキュラソーで幼生サンゴが生存するために最も大事な時期に必要なもの求めているものそしてその過程で私たちにできることを探し出そうとしています | אז במחקר שאני עושה עם הקולגות שלי בקורסאו, אנחנו מנסים להבין מה אלמוגים תינוקות צריכים בשלב הראשוני הקריטי הזה, מה הם מחפשים ואיך אנחנו יכולים לעזור להם בתהליך. | 0 | NIv2 | task1225_ted_translation_ja_he | zs_opt | [
-0.009486367926001549,
0.22658959031105042,
-0.4336170554161072,
-0.5756166577339172,
-0.8561164140701294,
-0.7979112863540649,
0.29178735613822937,
-0.15555113554000854,
-0.2602538764476776,
0.0002823987742885947,
1.117194414138794,
-0.13170020282268524,
-1.968904733657837,
0.257745563983... |
Given the task definition, example input & output, solve the new input case.
Given a sentence in the Japanese, provide an equivalent translation in Lao that retains the same meaning through the translation. In translation, keep numbers as it is.
Example: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した... | ຜູ້ຂັບເຄື່ອນເຄື່ອງໃໝ໋ ບໍ່ໄດ້ ຮູ້ວ່າ ນາງກາລິນກໍ່ຢູ່ທີ່ນັ້ນ ແລະ ໄດ້ດໍາເນີນເຄື່ອງຫຼີ້ນໃນຂະນະ ທີ່ນາງກາລິິນຍັງຢູ່ບ່ອນນັ້ນ. | 1 | NIv2 | task1124_alt_ja_lo_translation | fs_opt | [
-0.631118655204773,
0.41309937834739685,
-0.7432360649108887,
0.1770806610584259,
-0.03854022175073624,
-0.2748676836490631,
0.300847589969635,
0.43403899669647217,
0.04279671236872673,
-0.8393908143043518,
-1.0069700479507446,
0.9027124643325806,
-0.2571549117565155,
0.666238009929657,
... |
Q: 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.
In the present day (1970), 121-year-old Jack Crabb, the oldest living man in the world and residing in a hospice, r... | Answer: 121 | 7 | NIv2 | task194_duorc_answer_generation | zs_opt | [
1.0659511089324951,
0.4632917642593384,
-0.6932119131088257,
-0.3187333047389984,
0.3783506751060486,
-0.13067364692687988,
0.8638607263565063,
0.699134111404419,
0.037935107946395874,
0.2069573700428009,
-0.41276809573173523,
0.2524920701980591,
-1.3160526752471924,
0.4116421341896057,
... |
Detailed Instructions: Given a passage classify if the passage has a definite objective/aim/goal or not. Output '1' if the passage has a defininte objective/aim/goal and output '0' if the passage does not have a definite objective/aim/goal.
Problem:The significance of bile duct injury and ductular reaction in biopsies ... | 1 | 8 | NIv2 | task848_pubmedqa_classification | zs_opt | [
0.04106646403670311,
0.06534034013748169,
-0.1920148730278015,
0.23593157529830933,
0.38692906498908997,
-0.31524190306663513,
0.6258910894393921,
0.7784599661827087,
0.6744523048400879,
0.39648672938346863,
-0.1658937782049179,
0.05386281758546829,
-0.42295950651168823,
-0.136959522962570... |
Definition: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
Input: Así se programaba a principios de los años 60.
Output: | That was programming in the early 1960s. | 2 | NIv2 | task1226_ted_translation_es_en | zs_opt | [
0.07113363593816757,
0.7287328839302063,
0.34834128618240356,
-0.7387439012527466,
-0.12539908289909363,
-0.5558428764343262,
0.3737209141254425,
1.1579363346099854,
0.6873457431793213,
-0.018854673951864243,
0.036578916013240814,
0.23186787962913513,
-0.8676779270172119,
0.047425825148820... |
Detailed Instructions: In this task, you are given a question. Your task is to generate an answer that is relevant to the question.
Problem:Just bought the new Star Wars video game, you want to just stay in and game all weekend?
Solution: | I have to work all weekend. | 8 | NIv2 | task565_circa_answer_generation | zs_opt | [
0.5586978197097778,
0.6452735066413879,
-1.0801445245742798,
-0.02655082568526268,
-0.48966485261917114,
-1.0144857168197632,
-0.15624696016311646,
0.44781598448753357,
0.7101688981056213,
-0.45095762610435486,
0.1922915130853653,
-0.05578296631574631,
-0.40967369079589844,
-0.253388255834... |
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 statement spoken by a politician in natural language. Your task is to generate the subject of the discussion for the given statement. The subject generated is not necess... | history | 0 | NIv2 | task613_politifact_text_generation | fs_opt | [
0.212054044008255,
0.2129347026348114,
0.05209356173872948,
0.22902292013168335,
-0.478089302778244,
-0.3306378126144409,
0.7033156156539917,
0.07340101152658463,
0.019496412947773933,
0.25050675868988037,
-0.6496995687484741,
0.1400989145040512,
-0.43676066398620605,
0.4338284134864807,
... |
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.
Text: this happened to my brother some time back but thought i'd share it anyway.
he was ... | TIFU by thinking the girl next to me stole my phone | 0 | NIv2 | task510_reddit_tifu_title_summarization | zs_opt | [
-0.8116196990013123,
0.835159182548523,
-0.34763604402542114,
-0.7484520673751831,
0.0527399405837059,
0.17674456536769867,
0.41061532497406006,
0.12193383276462555,
0.32569822669029236,
0.14255639910697937,
-0.49622154235839844,
0.06653326004743576,
-0.8816946148872375,
0.0191545225679874... |
Definition: In this task, you're given a review from Amazon and your task is to generate the name of the category of the product based on the review given by the user. The categories are: kitchen, office product, watch, wireless, other, toy, digital video download, camera, jewelry, pet products, sports, industrial supp... | other | 2 | NIv2 | task617_amazonreview_category_text_generation | zs_opt | [
-0.06576882302761078,
-0.1557646095752716,
-0.36656057834625244,
-0.03737017512321472,
0.4491059184074402,
0.2939493656158447,
0.2164585143327713,
0.2896270751953125,
-0.24861231446266174,
0.6406668424606323,
0.10343319177627563,
0.35197773575782776,
-0.39615848660469055,
-0.12727040052413... |
Given a sentence in the Central Khmer, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Input: Consider Input: កញ្ចប់ថវិការនេះ បង្ហាញដល់ប្រជាជនអាមេរិកថា បើទោះបីជាក្នុងឆ្នាំបោះឆ្នោតក៏ដោយ គណបក្សសធារណៈរដ្ឋ និងប្រជាធិបតេយ្យ អាចរួបរួ... | Output: しかしながら、フォンセカ氏は、選挙に使用された2008年の選挙名簿に氏名がなかったため投票できなかった。
| 2 | NIv2 | task1122_alt_khm_ja_translation | fs_opt | [
0.1553766429424286,
-0.16529586911201477,
-0.46072810888290405,
0.10927227884531021,
-0.03506609797477722,
-0.9791635870933533,
0.7583838701248169,
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-0.27811434864997864,
0.1017492413520813,
-0.00040616653859615326,
0.20474925637245178,
-0.6476030349731445,
-0.2514076232... |
Detailed Instructions: Given news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news headlines into "Funny" and "Not Funny" that have been modified by humans using an edit word to make t... | Not Funny | 8 | NIv2 | task495_semeval_headline_classification | zs_opt | [
0.06487321853637695,
0.6185651421546936,
0.31288594007492065,
-0.24485993385314941,
-0.5593273639678955,
-1.2093322277069092,
-0.24955318868160248,
0.8760792016983032,
-0.41355472803115845,
-0.34858816862106323,
-0.5939947366714478,
-0.7967912554740906,
-0.5769734382629395,
0.0113736297935... |
In this task, you're given a statement, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
--------
Question: Context: Kelly was opposed... | Answer: 0
| 7 | NIv2 | task237_iirc_answer_from_subtext_answer_generation | fs_opt | [
-0.36039429903030396,
0.25985532999038696,
-0.8805029392242432,
-0.11886969208717346,
-0.19881968200206757,
-0.2803072929382324,
0.21086473762989044,
0.4617483615875244,
0.5075260400772095,
0.17445187270641327,
0.0582536980509758,
0.41538533568382263,
-0.3837010860443115,
0.189941942691802... |
Detailed Instructions: In this task, you are given two statements. The task is to output whether a given textual premise, i.e. Statement 2, entails or implies a given scientific fact, i.e. Statement 1. The output should be 'entails' if Statement 2 supports Statement 1 and should be 'neutral' otherwise.
Problem:Sentence... | neutral | 8 | NIv2 | task1554_scitail_classification | zs_opt | [
-0.4421936571598053,
0.6191307306289673,
0.030561547726392746,
0.5977209806442261,
-0.5922746658325195,
-0.9302273988723755,
-0.11789172887802124,
0.8010338544845581,
-0.15669457614421844,
-0.2775959372520447,
-0.7332873344421387,
-0.32715803384780884,
-0.2508918046951294,
-0.2152484655380... |
Teacher:In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update provides additiona... | strengthener | 6 | NIv2 | task936_defeasible_nli_snli_classification | zs_opt | [
-0.015296781435608864,
0.6357811689376831,
-0.4184069037437439,
-0.2675367295742035,
0.03841030225157738,
-0.9731554985046387,
1.1597574949264526,
1.2864913940429688,
0.5267480611801147,
-0.28096774220466614,
-0.8627005815505981,
-0.07622995972633362,
-0.7201798558235168,
-0.23794975876808... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to classify the conversation either convey 'No emotion' or 'Happiness' by providing '1' and '0', respectively.
Person1: Hello , Joanna . You are looking very charming in the ne... | 1 | 0 | NIv2 | task1536_daily_dialog_happiness_classification | zs_opt | [
0.09804688394069672,
0.402185320854187,
0.05997593700885773,
0.061522748321294785,
0.20571348071098328,
0.07235820591449738,
0.35424670577049255,
0.36161890625953674,
0.15041518211364746,
0.10270020365715027,
-0.3601875305175781,
-0.48284468054771423,
-0.15387298166751862,
-0.1108991727232... |
Teacher: In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
Teacher: Now, understand the ... | what is trump doing to incite jennifer palmieri in this tweet? | 2 | NIv2 | task240_tweetqa_question_generation | fs_opt | [
-0.20911602675914764,
0.4665290415287018,
0.47569605708122253,
-0.3355799913406372,
0.3708890676498413,
-0.85234135389328,
-0.22706305980682373,
0.26774197816848755,
-0.17600882053375244,
-0.224827378988266,
-0.37208452820777893,
-0.10329638421535492,
-0.15100407600402832,
-0.5047664046287... |
In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the gendered pronouns in the text and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable.
Let me give ... | Identifiable | 8 | NIv2 | task351_winomt_classification_gender_identifiability_anti | fs_opt | [
-0.9425160884857178,
0.5878236293792725,
0.06785228848457336,
-0.5058891773223877,
0.035642825067043304,
-0.2488427609205246,
0.2776447832584381,
0.6778069734573364,
0.629327654838562,
0.06096014007925987,
-1.4174169301986694,
0.03029904142022133,
-0.7328885197639465,
-0.2197854220867157,
... |
Detailed Instructions: Given a post that is a real-life anecdote of a complex ethical situation and an associated claim about its type, verify if the claim is true or not. The claim asks if the posts are historical or hypothetical. The posts are "HISTORICAL" when the author has already done something and they are "HYPO... | no | 9 | NIv2 | task501_scruples_anecdotes_post_type_verification | zs_opt | [
-0.2101992815732956,
-0.10926295816898346,
0.1894376575946808,
0.14507576823234558,
-0.21726909279823303,
-1.2614914178848267,
0.4229060411453247,
1.203843355178833,
-0.4639571011066437,
-0.07911351323127747,
0.037380822002887726,
0.46062955260276794,
-0.7270967364311218,
-0.32090777158737... |
You are given a movie review in the French language. You need to predict its sentiment. Output a 0 for negative sentiment and a 1 for positive sentiment.
Let me give you an example: Si vous cherchez du cinéma abrutissant à tous les étages,n\'ayant aucune peur du cliché en castagnettes et moralement douteux,"From Paris... | 0 | 8 | NIv2 | task1591_allocine_classification | fs_opt | [
0.5618625283241272,
0.4995969235897064,
-0.24686825275421143,
0.19132490456104279,
0.9400890469551086,
-0.5479137897491455,
0.707653284072876,
1.052527666091919,
-0.24380874633789062,
0.6672512292861938,
-0.3219696879386902,
0.34829914569854736,
-0.44537603855133057,
-0.12831509113311768,
... |
In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to arrange the sentences in order to make a story that makes complete sense and is apt for the title. Indicate your answer using the number of the sentences in order, such as '34152'.
One example is below.
Q:... | 21435 | 9 | NIv2 | task217_rocstories_ordering_answer_generation | fs_opt | [
0.1404961496591568,
-0.302979052066803,
-0.5190994739532471,
0.26142799854278564,
0.5920841693878174,
-0.0384487509727478,
0.2301379144191742,
0.8966313600540161,
-0.2657826840877533,
0.3354733884334564,
-0.6351606845855713,
0.1604294627904892,
-0.3081516921520233,
0.4562666416168213,
-0... |
Teacher:In this task, you are given sentences from movie reviews. The task is to classify a sentence as "POS" if the sentiment of the sentence is positive or as "NEG" if the sentiment of the sentence is negative
Teacher: Now, understand the problem? Solve this instance: A movie that feels like the pilot episode of a ne... | NEG | 6 | NIv2 | task363_sst2_polarity_classification | zs_opt | [
-0.6329322457313538,
0.1851014792919159,
0.2245185375213623,
-0.42219921946525574,
0.23563629388809204,
-0.7016056776046753,
1.4155341386795044,
1.0189226865768433,
0.4554106593132019,
0.16268397867679596,
-0.5110137462615967,
-0.6924242377281189,
-0.79487544298172,
-0.6432198286056519,
... |
Instructions: In this task, you're given four sentences of a story written in natural language in which one part is missing. Your job is to predict the position and missing part of the story and return in the following format: position, missing part. The missing part is a sentence that completes the story, and the posi... | 3, Her nana gave Sophie her prized gold locket. | 3 | NIv2 | task299_storycloze_sentence_generation | zs_opt | [
-0.47959232330322266,
0.9043421745300293,
-0.10782594233751297,
-1.0755681991577148,
0.1662437468767166,
0.30264320969581604,
1.0233891010284424,
0.5609543919563293,
0.28579145669937134,
-0.15565064549446106,
-0.18691986799240112,
-0.07078327238559723,
0.3111872971057892,
0.045293163508176... |
In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update provides additional inform... | weakener | 4 | NIv2 | task936_defeasible_nli_snli_classification | zs_opt | [
-0.04939117282629013,
0.3350290060043335,
-0.34423738718032837,
-0.20048180222511292,
-0.053491175174713135,
-0.7445011138916016,
0.8811327219009399,
1.4662425518035889,
0.6062761545181274,
-0.03793545812368393,
-1.6314293146133423,
-0.02892507240176201,
-0.6690043210983276,
0.017770741134... |
In this task, you are given a set of context paragraphs, some supporting facts and an answer of a question. Your task is to generate question for given answer based on set of context paragraphs, supporting facts and an answer.
Let me give you an example: Context_1 : Charles Edward Ives ( ; October 20, 1874May 19, 1954... | Texas Private Investigator worked on a case involving a New York millionaire primarily known for what? | 8 | NIv2 | task191_hotpotqa_question_generation | fs_opt | [
0.7837376594543457,
0.3380376994609833,
-0.8237434029579163,
1.0233982801437378,
0.5193663835525513,
-0.15907111763954163,
0.6986279487609863,
0.5837059020996094,
-0.07403048872947693,
0.3463640809059143,
-0.06835490465164185,
0.5107598304748535,
-0.9527741074562073,
-0.06729194521903992,
... |
In this task, you are given a sentence. You are expected to recognize the name of gene or protein. Although there might be several correct answers, you need to write one of them.
One example: Sox - 4 is important for very early B - cell differentiation , while TCF - 1 / LEF - 1 play a crucial role in early thymocyte de... | leucine aminotransferase | 6 | NIv2 | task1481_gene_extraction_bc2gm_dataset | fs_opt | [
-0.5148899555206299,
0.5182102918624878,
-0.7616543769836426,
-0.2492193728685379,
0.410831481218338,
-0.44326573610305786,
0.10592754185199738,
0.6174992322921753,
0.45048266649246216,
-0.3554312586784363,
-0.6724485158920288,
-0.09534799307584763,
-0.8259588479995728,
-0.3091598153114319... |
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.
Example input: [-83, 53, -48, 8]
Example output: [-80, 50, -50, 10]
Example explanation: The output correctly rounds each integer in the inpu... | [-570, -450, 200, -950, 190, 290, -750, 820, 640, 450, 290, -430] | 3 | NIv2 | task373_synthetic_round_tens_place | fs_opt | [
-0.6306936144828796,
0.5643346309661865,
-0.3662138879299164,
-0.15131248533725739,
-0.37744659185409546,
-0.490473210811615,
1.0189933776855469,
-0.016457118093967438,
-0.32024991512298584,
0.336001455783844,
-0.646504282951355,
0.09738905727863312,
-0.454481303691864,
0.27019891142845154... |
Part 1. 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 i... | C | 7 | NIv2 | task228_arc_answer_generation_easy | fs_opt | [
0.4895438253879547,
0.5472117066383362,
-0.8141855001449585,
-0.2513112723827362,
-0.10082437843084335,
-0.4417797029018402,
0.5956436395645142,
0.31142324209213257,
0.19075354933738708,
-0.21547456085681915,
-0.4074462652206421,
0.8075474500656128,
0.19740739464759827,
-0.1285065114498138... |
Detailed Instructions: 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 ev... | Yes | 4 | NIv2 | task1212_atomic_classification_hasproperty | fs_opt | [
0.10085996240377426,
-0.11847634613513947,
0.3130478262901306,
0.11574871838092804,
-0.012254886329174042,
-1.11176335811615,
0.4355534315109253,
1.1211047172546387,
-0.8933560848236084,
0.0444759726524353,
-0.6947547793388367,
-0.5101075172424316,
-0.3304174244403839,
-0.30346328020095825... |
In this task, you will be shown a passage. You need to write a fill-in-the-gap question based on your understanding of the events that might be inferred from the passage. Your question should be answerable based on the passage and only have one correct answer. Show the gap in your question with a _ .
One example: For f... | _ will play a near full-strength side but Chelsea’s Ruben Loftus-Cheek may figure. | 6 | NIv2 | task301_record_question_generation | fs_opt | [
-0.10451105982065201,
0.2715730667114258,
-0.8872148990631104,
0.1134505644440651,
0.2938641905784607,
-0.1121734231710434,
0.5856441259384155,
0.7838892936706543,
-0.5111972689628601,
0.17588603496551514,
0.10798916220664978,
0.5115329027175903,
-1.1012377738952637,
0.13126562535762787,
... |
instruction:
Based on the given context, craft a common-sense question, especially those that are LONG, INTERESTING, and COMPLEX. The goal is to write questions that are easy for humans and hard for AI machines! To create such questions, here are some suggestions: A. What may (or may not) be the plausible reason for an... | How was it known that the death was not a hoax after all ?
| 9 | NIv2 | task023_cosmosqa_question_generation | fs_opt | [
0.3890891969203949,
0.5073071122169495,
-0.174209326505661,
0.5397846102714539,
0.08151078224182129,
-0.46271318197250366,
0.4599570035934448,
0.7179557085037231,
-0.35626912117004395,
0.2565772533416748,
0.15540659427642822,
-0.060346513986587524,
-0.42718255519866943,
0.6688894033432007,... |
You will be given a definition of a task first, then some input of the task.
Given a post that is a real-life anecdote of a complex ethical situation and a question asks if AUTHOR, NOBODY, EVERYBODY, or OTHER is wrong in the situation. Answer the question and classify your answers into yes or no.
Is AUTHOR wrong in th... | yes | 1 | NIv2 | task502_scruples_anecdotes_whoiswrong_verification | zs_opt | [
0.4435758590698242,
-0.035711467266082764,
-0.0762178972363472,
-0.16136442124843597,
0.5730101466178894,
-0.40759778022766113,
0.8282651901245117,
0.9200831651687622,
0.09141227602958679,
-0.004633571021258831,
-0.07930472493171692,
-0.1748613715171814,
-0.00780061399564147,
-0.1671309173... |
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.
Example Input: Poster: Isakson Statement on Budget Deal That Avoids S... | Negative
| 3 | NIv2 | task823_peixian-rtgender_sentiment_analysis | fs_opt | [
-0.30073919892311096,
-0.3381161391735077,
0.10254737734794617,
0.21391597390174866,
0.3665987253189087,
-0.32237666845321655,
0.2922282814979553,
0.024047117680311203,
-0.45813626050949097,
0.6049503684043884,
-0.48838749527931213,
-0.3407471477985382,
-0.13867148756980896,
-0.30022394657... |
Teacher:The given sentence contains a typo which could be one of the following four types: (1) swapped letters of a word e.g. 'niec' is a typo of the word 'nice'. (2) missing letter in a word e.g. 'nic' is a typo of the word 'nice'. (3) extra letter in a word e.g. 'nicce' is a typo of the word 'nice'. (4) replaced lett... | platyer | 6 | NIv2 | task088_identify_typo_verification | zs_opt | [
-0.8185623288154602,
0.14158667623996735,
-0.19628486037254333,
0.8916854858398438,
0.5263786315917969,
-1.0311957597732544,
0.9760129451751709,
0.0725424587726593,
0.34734755754470825,
0.025530684739351273,
0.40818607807159424,
-0.31955686211586,
-0.7878605127334595,
-0.15863916277885437,... |
A text is given in Tamil. Translate it from the Tamil language to the Hindi language. The translation must not omit or add information to the original sentence.
One example is below.
Q: முன் கூட்டி அறிந்துகொள்ள முடியாத பருவநிலையினால் ஏற்படும் பாதிப்புகளில் இருந்து விவசாயிகலை பாதுகாக்க பிரதமர் பயிர் காப்பீட்டுத் திட்டம்... | साथियों, हार-हताशा-निराशा का वातावरण कभी किसी देश को आगे नहीं ले जा सकता। | 9 | NIv2 | task994_pib_translation_tamil_hindi | fs_opt | [
-0.23697425425052643,
0.07159881293773651,
0.1391991674900055,
-0.08356352150440216,
0.09464840590953827,
-1.3604955673217773,
0.15544524788856506,
0.5393276214599609,
-0.7155455350875854,
0.4449673891067505,
-0.8409487009048462,
-0.20665937662124634,
-0.5077527761459351,
0.311187505722045... |
Q: You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
O rasizmie, ucisku, o tym, że ludzie tacy jak ja nie mają lekko w życiu.
A: | العنصرية ، الاكتئاب ، الأشخاص المشابهين لي الذين لم ينالوا فرصتهم في الحياة. | 7 | NIv2 | task1259_ted_translation_pl_ar | zs_opt | [
-0.4833659827709198,
0.6957603693008423,
-0.20861518383026123,
-0.20892608165740967,
-0.5864987373352051,
0.14430473744869232,
1.3050086498260498,
0.5160688757896423,
0.6233607530593872,
0.23284223675727844,
-0.3557378053665161,
0.07190948724746704,
-0.947840690612793,
0.1090271919965744,
... |
Given a sentence, 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].
One example: Verify if the sentiment of the following document towards the entity Bill Clinton is Negative. B... | yes | 6 | NIv2 | task422_persent_sentence_sentiment_verification | fs_opt | [
-1.5096981525421143,
0.21058309078216553,
0.9586238861083984,
0.38871467113494873,
0.47304806113243103,
-1.5280766487121582,
0.7483083605766296,
0.596463680267334,
0.30676814913749695,
0.397128701210022,
0.257392555475235,
-0.40574735403060913,
-0.29774755239486694,
-0.2565445303916931,
... |
You will be given a definition of a task first, then some input of the task.
Given a sentence and two mentions from the text (arguments), indicate a phrase (a verb or noun phrase) that describes the relationship between the provided arguments.
Sentence: 'Buck turned his attention to Vin .', Argument/Subject 1: 'vin', ... | turn to | 1 | NIv2 | task676_ollie_relationship_answer_generation | zs_opt | [
-0.5613155364990234,
0.7114686369895935,
0.05705057457089424,
0.46449318528175354,
-0.5407966375350952,
-0.01713727042078972,
0.5736958384513855,
0.5425107479095459,
0.9114397764205933,
0.15654537081718445,
-0.42668184638023376,
-0.20781302452087402,
-0.5591000318527222,
0.2422839850187301... |
Detailed Instructions: In this task you will be given a list of integers. You should find the minimum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the smallest possible absolute dist... | 4 | 9 | NIv2 | task1445_closest_integers | zs_opt | [
-0.4445800185203552,
0.9661228060722351,
0.2880363166332245,
-0.5439285635948181,
-0.06757916510105133,
-0.879165530204773,
1.027984857559204,
0.07607030868530273,
0.4305031895637512,
-0.19252540171146393,
-0.29785317182540894,
-0.3515704870223999,
-0.9739991426467896,
0.582040548324585,
... |
Instructions: 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 ... | No | 3 | NIv2 | task1207_atomic_classification_atlocation | zs_opt | [
0.23274022340774536,
0.5583156943321228,
0.30451470613479614,
-0.22726444900035858,
-0.7839507460594177,
-0.7235448360443115,
1.1302119493484497,
0.46046674251556396,
-0.5331013798713684,
-0.6379498839378357,
-0.5783286094665527,
-0.44202888011932373,
-0.5969318747520447,
0.487591087818145... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.
コメディー番組のテコ入れに突然新しい親戚の子が登場するみたいなひょんなところからきた子供だったんです
Output: | Era como el primo Oliver en la comedia de TV de la familia Krosoczka el niño nuevo que salió de la nada. | 1 | NIv2 | task1223_ted_translation_ja_es | zs_opt | [
-0.336179256439209,
0.6146882176399231,
0.04012563079595566,
-0.397657573223114,
0.3296717405319214,
0.02956712245941162,
0.39452505111694336,
0.8433188199996948,
0.6568061113357544,
-0.7696520686149597,
-0.34892958402633667,
-0.17011651396751404,
-0.6552019119262695,
-0.05704601854085922,... |
Given the task definition and input, reply with output. You are given a sentence in English. Your job is to translate the English sentence into Persian.
He liked to talk about the spiritual geniuses of the ages.
| او دوست داشت درباره نوابغ روحانی زمان خود صحبت کند. | 5 | NIv2 | task1093_ted_translation_en_fa | zs_opt | [
-1.5136168003082275,
0.5497889518737793,
0.41908735036849976,
-0.28324177861213684,
-0.589795708656311,
-0.0029861785005778074,
0.7008828520774841,
-0.25084176659584045,
0.3953211307525635,
0.009073087945580482,
-0.3400088846683502,
0.9697360992431641,
-0.601526141166687,
-0.11864055693149... |
Instructions: You are given a password and you need to generate the number of steps required to convert the given password to a strong password. A password is considered strong if (a) it has at least 6 characters and at most 20 characters; (b) it contains at least one lowercase letter and one uppercase letter, and at l... | 13 | 3 | NIv2 | task956_leetcode_420_strong_password_check | zs_opt | [
0.620278000831604,
1.2958152294158936,
0.07239243388175964,
-0.8322981595993042,
-0.1387985646724701,
-0.16906586289405823,
1.3268311023712158,
-0.24446254968643188,
0.2367221713066101,
-1.0295497179031372,
0.03160284459590912,
-0.10936813056468964,
-0.8968820571899414,
-0.4481308162212372... |
In this task, you are given two simple actions (associated with "A", "B"). You must identify which action is considered less ethical. Do not generate anything else apart from one of the following characters: 'A', 'B'.
(A) saying no to going to formal with someone
(B) not wanting to room with my friend | B | 0 | NIv2 | task106_scruples_ethical_judgment | zs_opt | [
0.005582960322499275,
1.0582258701324463,
0.5043228268623352,
-0.4554722011089325,
-0.7883914709091187,
-0.4034932255744934,
0.02390221692621708,
-0.2087620198726654,
0.04727649688720703,
0.6058522462844849,
-0.014612361788749695,
-0.0676300972700119,
0.06711047887802124,
-0.80392622947692... |
Given a sentence in Chinese, provide an equivalent paraphrased translation in German that retains the same meaning both through the translation and the paraphrase.
[EX Q]: 特拉布宗世界贸易中心的大楼靠近特拉布宗机场。
[EX A]: Der Komplex des World Trade Center Trabzon befindet sich in der Nähe des Flughafens Trabzon.
[EX Q]: 他曾多次被选为阿萨姆足球协会... | Crocker zog von Natchez, Mississippi, nach Vidalia, dem Sitz der Concordia-Gemeinde, und überquerte die Uuachita im Black River.
| 6 | NIv2 | task811_pawsx_chinese_german_translation | fs_opt | [
0.15639953315258026,
0.5002070665359497,
-0.6176732778549194,
-0.6807081699371338,
0.06942860037088394,
0.154214009642601,
0.4665568470954895,
0.025999020785093307,
-0.0330265611410141,
0.6384289264678955,
0.2330615222454071,
0.6924535036087036,
-1.0256247520446777,
0.5626000165939331,
-... |
Detailed Instructions: In this task you are given a sentence. You must judge whether the object of the main clause is singular(like: apple) or plural(like: apartments). Label the instances as "Singular" or "Plural" based on your judgment.
Problem:I heard the gunfire. "
Solution: | Singular | 8 | NIv2 | task431_senteval_object_count | zs_opt | [
-0.7852617502212524,
0.6101856231689453,
-0.02101781778037548,
-0.12169403582811356,
-0.21956412494182587,
-0.7878197431564331,
1.116620421409607,
0.4152439832687378,
0.21905545890331268,
-0.3202991187572479,
-0.23845824599266052,
-0.43311038613319397,
-0.9589556455612183,
-0.5869628787040... |
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... | ADJ | 5 | NIv2 | task583_udeps_eng_coarse_pos_tagging | zs_opt | [
0.656956672668457,
0.2747812569141388,
0.030127719044685364,
0.031644389033317566,
0.03550541400909424,
-0.37095212936401367,
0.7067725658416748,
0.5946206450462341,
-0.3546738624572754,
-0.2911023497581482,
-0.30095374584198,
0.07999016344547272,
-0.41437581181526184,
0.38332223892211914,... |
You will be given a definition of a task first, then some input of the task.
You are supposed to identify the category of a high-school level math question. There are five possible categories (1) algebra (2) arithmetic (3) measurement (4) numbers, and (5) probability. Use the following guidelines: (1) 'algebra' questio... | measurement | 1 | NIv2 | task834_mathdataset_classification | zs_opt | [
0.21456244587898254,
0.28296947479248047,
-0.22932052612304688,
-0.017194941639900208,
0.02331892028450966,
0.0012328103184700012,
0.23668581247329712,
0.26264986395835876,
0.10685031116008759,
-0.39069056510925293,
-0.6897923946380615,
-0.010850397869944572,
0.06120971217751503,
-0.125047... |
Given a sentence, generate what should be the most likely next statement. The next statement should be reasonable and logically correct.
Input: Consider Input: Next, the lemon is squeezed over the cub and honey is put in the mason jars. Now the water is boiled and put it the jars and slices of the lemons
Output: are ... | Output: leans forward with an inviting smile.
| 2 | NIv2 | task453_swag_answer_generation | fs_opt | [
0.3830951154232025,
1.1192072629928589,
0.05118534713983536,
-0.06622516363859177,
0.23736244440078735,
-0.48355019092559814,
-0.09385925531387329,
0.5116719603538513,
-0.06577242165803909,
-0.7055944204330444,
0.15183410048484802,
0.3740638196468353,
-0.5373267531394958,
0.125469177961349... |
Given the task definition and input, reply with output. Given a part of privacy policy text, identify the type of personal information which is collected, used, tracked or retained. The type of information should be present inside the given policy text, answer as 'Not Specified' otherwise
An unnamed third party does r... | Unspecified | 5 | NIv2 | task684_online_privacy_policy_text_information_type_generation | zs_opt | [
-0.7491180896759033,
0.35846102237701416,
-0.4496508538722992,
0.1491345465183258,
-0.7427616119384766,
-0.3815377354621887,
0.0507228709757328,
0.17960737645626068,
0.11400826275348663,
0.5785713791847229,
-0.0016944323433563113,
-0.08638975024223328,
-0.33738672733306885,
-0.820700824260... |
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 list all elements of A from the ith element to the jth element in the reverse order. 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.
1, 2, ['9721', ... | 5569, i, q, 4135, 411, 5245, 2801, 8159, a, 187
| 0 | NIv2 | task099_reverse_elements_between_index_i_and_j | fs_opt | [
-0.06953510642051697,
0.06455722451210022,
-0.4885253310203552,
-0.17519307136535645,
-0.17443567514419556,
-0.3069568872451782,
0.8701827526092529,
0.40443524718284607,
-0.6310959458351135,
0.4484556317329407,
-0.825263261795044,
0.2590879797935486,
-0.08850929886102676,
0.248086333274841... |
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