inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
You are given a set of queries separated by '
', and your job is to find out the query which is not a well-formed or well-structured query in terms of grammar, punctuations, or spelling errors.
One example: How many miles is 43560 ?
What is the national currency of Albania ?
What is the status of the draft today in US ... | What is drake bells nationality ? | 6 | NIv2 | task674_google_wellformed_query_sentence_generation | fs_opt | [
0.12979654967784882,
0.16754837334156036,
-0.3310142457485199,
0.08794786036014557,
-0.4210776090621948,
-0.08196491003036499,
1.0989956855773926,
-0.986561119556427,
-0.1797337830066681,
-0.6866748929023743,
-0.2587767541408539,
0.05511146038770676,
-0.15644294023513794,
-0.43211036920547... |
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... | Funny | 9 | NIv2 | task495_semeval_headline_classification | zs_opt | [
-0.2128431499004364,
0.18825474381446838,
0.42641639709472656,
-0.17547297477722168,
-0.5606481432914734,
-0.3706933856010437,
0.01833704113960266,
1.3128141164779663,
0.3100624680519104,
-0.3043893277645111,
-0.6678323149681091,
-0.17981350421905518,
-0.9242140650749207,
0.267422854900360... |
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 letter in a ... | gokld
| 0 | NIv2 | task088_identify_typo_verification | fs_opt | [
-1.117996335029602,
0.38400599360466003,
0.32650238275527954,
0.2830244302749634,
0.29278290271759033,
-0.7058976888656616,
0.9000579118728638,
0.028009649366140366,
-0.006661959923803806,
0.4357452988624573,
0.20727482438087463,
-0.5499999523162842,
-0.5152217149734497,
-0.198281168937683... |
In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.
Example: Sentence1: 'a red bus goes down the street beside a yellow building', Sentence2: 'the colorfully decorated living room has a retro style chair in it'. Is the frequency of the word 'beside' in two sent... | Solution: No | 5 | NIv2 | task159_check_frequency_of_words_in_sentence_pair | fs_opt | [
-0.43508994579315186,
0.44658440351486206,
-0.3327086269855499,
0.018860165029764175,
0.33601701259613037,
-0.24445053935050964,
0.6504306793212891,
1.338900089263916,
0.017485445365309715,
0.09102549403905869,
-0.795113205909729,
-0.10391475260257721,
0.40553346276283264,
0.11771799623966... |
Definition: In this task, You are given an amazon review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False"
Input: Review: Soon received Nice power cords. Very well made, strong cords. A great replacement for apple cords tha... | False | 2 | NIv2 | task1313_amazonreview_polarity_classification | zs_opt | [
-0.05271235108375549,
-0.19982126355171204,
0.11796513199806213,
-0.4000755250453949,
0.09266413003206253,
-0.66217041015625,
1.0449804067611694,
-0.08489412814378738,
0.47742050886154175,
-0.04847642034292221,
-0.21562036871910095,
-0.06525945663452148,
-0.23642000555992126,
-0.2779297828... |
Detailed Instructions: 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 purpose of the bill.
Problem:Golf Course Preservation and Modernization Act - Requires the Secretary of ... | To authorize the Secretary of the Interior to enter into a long-term ground lease for the operation and maintenance of Rock Creek, Langston, and East Potomac as golf courses, and for other purposes. | 8 | NIv2 | task1659_title_generation | zs_opt | [
-0.16866347193717957,
-0.21966606378555298,
-0.18185903131961823,
-0.7152042984962463,
0.5315166115760803,
-0.4424768090248108,
0.9532690644264221,
1.2996491193771362,
-0.44602131843566895,
-0.2254897505044937,
0.3946273922920227,
0.6172241568565369,
-0.8334187269210815,
0.1105111390352249... |
Definition: In this task, you are given an input list A. You need to find all the elements of the list that are alphabets in the same order as they appear in the list A. Do not change their case/capitalization.
Input: ['v', 'Y', '6059', 'Q', '7991', 'C']
Output: | v, Y, Q, C | 2 | NIv2 | task488_extract_all_alphabetical_elements_from_list_in_order | zs_opt | [
-0.22856652736663818,
0.460191547870636,
-0.25709643959999084,
-0.08728043735027313,
0.09866587817668915,
0.14437280595302582,
0.7195501327514648,
-0.6982606649398804,
0.6544297933578491,
-0.010455837473273277,
-0.017962481826543808,
-0.17052945494651794,
-0.08278469741344452,
-0.022935498... |
Detailed Instructions: In this task, you need to answer the given multiple-choice question on the general math. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Q: Problem: there are , in a certain league , 14 teams , and each team face another team for a total of 5 times . how many games are played in the seaso... | a | 9 | NIv2 | task1420_mathqa_general | zs_opt | [
0.6454892158508301,
-0.19271822273731232,
-0.5730667114257812,
0.10464015603065491,
0.4368780553340912,
-0.4013690948486328,
0.2561251223087311,
-0.3244004547595978,
-0.37228235602378845,
-0.19595232605934143,
-0.8369365334510803,
0.21898947656154633,
-0.7558881044387817,
0.059056185185909... |
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: How may I help you ?
Person2: I want to return this ... | 0
| 0 | NIv2 | task1536_daily_dialog_happiness_classification | fs_opt | [
0.006365393288433552,
0.8741955757141113,
-0.3725636303424835,
-0.1343025118112564,
0.42397767305374146,
-0.25058838725090027,
0.6952797174453735,
0.4683563709259033,
-0.036954522132873535,
-0.3021267354488373,
-0.6505143046379089,
-0.04438413307070732,
-0.62521892786026,
-0.22689013183116... |
Instructions: This task is in Spanish. Based on the given context, generate a question which can be answered by the given context. Generate a question that has more than 7 words. You can paraphrase the given context while forming the question.
Suggestion: The question may involve starting question words like WHERE, WH... | ¿Dónde se recopilan las obras de los Padres de la Iglesia y otros autores relacionados con la misma? | 3 | NIv2 | task1335_sqac_question_generation | zs_opt | [
0.10978278517723083,
0.6047058701515198,
-0.4160865247249603,
0.10522110760211945,
-0.2600858807563782,
-0.641231894493103,
0.45563527941703796,
1.2904953956604004,
0.7727494239807129,
-0.26453688740730286,
-0.17312760651111603,
0.6384590864181519,
-0.8580507636070251,
-0.382574200630188,
... |
Instructions: In this task, you're given a context passage, an answer, and a question. Your task is to classify whether the question for this answer is correct or not, based on the given context with commonsense reasoning about social situations. If its correct ,return "True" else "False".
Input: Context: Aubrey gave t... | True | 3 | NIv2 | task384_socialiqa_question_classification | zs_opt | [
-0.1313026398420334,
0.3845074772834778,
-0.38219037652015686,
-0.45603594183921814,
-0.14977587759494781,
-0.28012895584106445,
1.1339349746704102,
0.34794026613235474,
0.26724565029144287,
0.12717926502227783,
-0.8203862905502319,
0.34249868988990784,
-0.12103815376758575,
0.142301470041... |
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: The important life-supporting role of hydrogen sulfide (H(2)S) has evolved from bacteria to plants, inverte... | no | 3 | NIv2 | task1587_scifact_classification | zs_opt | [
-0.030109170824289322,
0.5784950852394104,
-0.8435665369033813,
0.8068317174911499,
0.05839467793703079,
-1.1023154258728027,
0.010616729967296124,
0.6776115894317627,
0.09848350286483765,
-0.0064302049577236176,
-0.7185319662094116,
-0.24593770503997803,
-0.2011844515800476,
-0.1537993252... |
Q: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Galician.
Y se activan mediante una proteína reguladora de genes llamada FOXO.
A: | Actívanse mediante unha proteína reguladora de xenes chamada FOXO. | 7 | NIv2 | task1100_ted_translation_es_gl | zs_opt | [
0.1396668553352356,
0.2617741823196411,
-0.5971301794052124,
-0.516639769077301,
-0.7726684808731079,
-0.8740898370742798,
-0.260425865650177,
1.6217796802520752,
-0.24278075993061066,
-0.45799484848976135,
-1.0569547414779663,
-0.19357019662857056,
-1.0009539127349854,
0.13060927391052246... |
Instructions: 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 answ... | PersonX ate more sugary candy than PersonY and rarely brushed their teeth, therefore _ had more cavities. | 3 | NIv2 | task032_winogrande_question_generation_person | zs_opt | [
0.41392093896865845,
0.8495274782180786,
-0.06627018749713898,
0.029090872034430504,
-0.05604782700538635,
0.20494787395000458,
0.6978579163551331,
0.8094609975814819,
-0.3583022952079773,
-0.5614748001098633,
-0.17732609808444977,
-0.21785447001457214,
-0.24225369095802307,
0.115012854337... |
Given a sentence, generate a most unlikely next statement. The next statement should not be logically relevant to the given context
Input: Consider Input: Then she irons her blue jean shorts. A little baby
Output: stands on top of her.
Input: Consider Input: A large room is seen followed by a woman floating into fr... | Output: proceeds to the brush.
| 2 | NIv2 | task454_swag_incorrect_answer_generation | fs_opt | [
0.20662538707256317,
0.91791832447052,
-0.7578795552253723,
0.9644342660903931,
-0.18427175283432007,
0.783481240272522,
-0.7023837566375732,
0.8213940858840942,
0.41756314039230347,
0.047920819371938705,
-0.09871002286672592,
0.24180680513381958,
0.3180261254310608,
0.16310562193393707,
... |
Definition: In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Input: In recent years North Korea underwent several minor ref... | 近年北朝鮮は、生活の質を大きく改善するようにも見えない小規模な改革を経験しました。 | 2 | NIv2 | task435_alt_en_ja_translation | zs_opt | [
-0.23676389455795288,
0.48887526988983154,
0.3981035649776459,
-0.6203416585922241,
0.3731749355792999,
-0.11829418689012527,
0.5746748447418213,
0.8197405934333801,
-0.16216398775577545,
0.22904905676841736,
-0.24081610143184662,
-0.2727677822113037,
-0.6810332536697388,
0.404995709657669... |
Given an abstract, indicate which of the provided candidate titles (Option1 and Option2) best describes it (respond with the text of the title, not option1/2).
--------
Question: Abstract: Thermal injuries lead to changes in both the cell-mediated and humoral responses of the patient. This study was undertaken to asses... | Sl/Sld mouse bone marrow stroma in vitro contains an active radiation-sensitive inhibitor of normal hemopoiesis.
| 7 | NIv2 | task624_ohsumed_question_answering | fs_opt | [
0.41183921694755554,
0.43567290902137756,
-0.4242411255836487,
0.1511847972869873,
0.6307852864265442,
-0.9820604920387268,
0.5266635417938232,
0.7951667308807373,
-0.1244177371263504,
0.2216176986694336,
0.18845893442630768,
-0.10601551830768585,
-0.6167886853218079,
-0.11034873127937317,... |
Teacher: In this task you will be given an arithmetic operation and you have to find its answer. The symbols of operators '+' and '-' has been swapped i.e you need to perform subtraction when you see a '+' symbol and addition in case of '-' symbol.
Teacher: Now, understand the problem? If you are still confused, see t... | 20463 | 2 | NIv2 | task085_unnatural_addsub_arithmetic | fs_opt | [
-0.24321193993091583,
-0.1713961362838745,
-0.7232252359390259,
0.35819584131240845,
-0.10242646932601929,
0.08016306906938553,
0.3820633888244629,
1.5689685344696045,
0.24350062012672424,
-0.511091947555542,
-0.6426348686218262,
-0.523169219493866,
-0.6391284465789795,
0.00274015357717871... |
TASK DEFINITION: In this task, you are given a Reddit post as a text. Your task is to generate a title for this text. The title should start with "TIFU by", followed by a situation that caused humor. The title should contain 7-12 words, ideally.
PROBLEM: Text: this happened after i got home from work today, and i got h... | TIFU by taking out a 5 year old
| 8 | NIv2 | task510_reddit_tifu_title_summarization | fs_opt | [
0.12764117121696472,
0.0468093603849411,
-0.2144303023815155,
0.06825433671474457,
0.6625036001205444,
-0.3728359341621399,
0.17445369064807892,
0.6774226427078247,
0.2003035545349121,
0.19903206825256348,
-0.09796670079231262,
-0.0020415731705725193,
-0.6127596497535706,
-0.18245929479599... |
Detailed Instructions: In this task, given a sentence in the Filipino language, your task is to convert it into the English language.
Q: Sa sumunod na sesyon, naglarong mabuti ang Australia, kahit na talunan sina Ricky Ponting (20) at Michael Clarke (23), patungo sa tea break na mayroong puntos na 5/148.
A: | The next session, Australia played well, despite losing Ricky Ponting (20) and Michael Clarke (23), coming to the tea break with a score of 5/148. | 9 | NIv2 | task545_alt_translation_fi_en | zs_opt | [
-0.32308876514434814,
-0.11163807660341263,
-0.20112374424934387,
-0.198154479265213,
0.15707145631313324,
-0.4215676784515381,
0.5417165756225586,
-0.0890156701207161,
0.1533903181552887,
-0.17520347237586975,
-0.2548910975456238,
-0.08519908785820007,
-0.24078549444675446,
0.434188514947... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, Pers... | Yes | 1 | NIv2 | task1207_atomic_classification_atlocation | zs_opt | [
0.4575175642967224,
0.3851433992385864,
-0.007375630550086498,
-0.03410718962550163,
-0.49833428859710693,
-0.6112516522407532,
0.8450995683670044,
0.14917375147342682,
-0.7029827833175659,
-0.3452486991882324,
-0.5185736417770386,
-0.6487897634506226,
-0.3322422206401825,
0.19387608766555... |
TASK 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 'Nu... | Numbers Win
| 8 | NIv2 | task523_find_if_numbers_or_alphabets_are_more_in_list | fs_opt | [
0.035816580057144165,
0.2659461498260498,
-0.5433194637298584,
-0.08482179045677185,
-0.08186323940753937,
-0.10091596841812134,
0.18983465433120728,
0.44613873958587646,
-0.3088189363479614,
0.27807414531707764,
-0.8703351020812988,
-0.07811714708805084,
-0.30636346340179443,
-0.128411114... |
TASK DEFINITION: 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... | ['What', 'I', 'want', 'to', 'do', 'in', 'this', 'video', 'is', 'to', 'show', 'that', 'if', 'we', 'start', 'with', 'any', 'arbitrary', 'triangle', 'this', 'will', 'be', 'the', 'arbitrary', 'triangle', 'that', "we're", 'starting', 'with--', 'that', 'we', 'can', 'always', 'make', 'this', 'the', 'medial', 'triangle', 'of',... | 8 | NIv2 | task1415_youtube_caption_corrections_grammar_correction | fs_opt | [
0.6489994525909424,
0.40862151980400085,
-0.03260176628828049,
-0.3085719645023346,
0.858646810054779,
-0.3870433568954468,
0.6022847890853882,
1.0237822532653809,
-0.4389866590499878,
0.17385870218276978,
0.01039136853069067,
0.06722337752580643,
-0.45671871304512024,
-0.17750631272792816... |
You are given a target profession, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-stereotype is an i... | anti-stereotype
| 7 | NIv2 | task319_stereoset_classification_profession | fs_opt | [
-0.4604519307613373,
0.2954469323158264,
0.07345876842737198,
-0.077133908867836,
-0.16054892539978027,
-0.5063958764076233,
0.18340370059013367,
0.5154123306274414,
0.7697098255157471,
-0.2560679316520691,
-0.5235779285430908,
0.14343680441379547,
-0.48801976442337036,
-0.389587938785553,... |
Definition: Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
Input: およそ１００人の救助隊が雨の中、瓦礫一帯の救出作業を続けている。
Output: | អ្នកសង្គ្រោះប្រហែល100នាក់ បន្តរើសកំទេចនៅក្រោមភ្លៀង។ | 2 | NIv2 | task1121_alt_ja_khm_translation | zs_opt | [
-0.3995148539543152,
0.024178724735975266,
-0.2823029160499573,
-0.1809345781803131,
0.27280786633491516,
-0.5534728765487671,
0.5486019849777222,
0.7001934051513672,
-0.17881684005260468,
0.006319737993180752,
-1.020371437072754,
0.044437192380428314,
-0.817815899848938,
1.010340690612793... |
Q: In this task, you are given a context and four options. Each option is a suggested ending for the context. You should read the context and pick the best ending for the context. Please answer with "A", "B", "C", and "D".
[header] How to meet women after a divorce [title] Don't rush into a relationship. [step] Some p... | B | 7 | NIv2 | task1389_hellaswag_completion | zs_opt | [
0.4124828279018402,
0.787744402885437,
-0.580181896686554,
0.0678747370839119,
0.24376322329044342,
-0.8827039003372192,
1.0023910999298096,
0.559415340423584,
-0.10578125715255737,
0.10830583423376083,
-0.24372674524784088,
0.09164761006832123,
0.22801658511161804,
0.14925768971443176,
... |
Given the task definition and input, reply with output. In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly agree with each other. Generated sentences must be short, with less than 15 words... | A bartender is pouring something into a container. | 5 | NIv2 | task188_snli_neutral_to_entailment_text_modification | zs_opt | [
-0.735713005065918,
1.0136773586273193,
0.04498002305626869,
-0.21423302590847015,
0.1844625473022461,
-0.3922697901725769,
-0.3267630934715271,
0.20541095733642578,
0.3731006979942322,
-0.39616310596466064,
-0.6466647386550903,
-0.5058538317680359,
-0.5648589730262756,
-0.0883183926343917... |
In this task, you are given a sentence in the English language and your task is to convert English sentence into the Gujarati language.
A group of pictures put together to depict a road in a desert with signs. | ચિહ્નોના રણમાં રસ્તાની એક રસ્તાનું વર્ણન કરવા માટે ચિત્રોનો એક જૂથ એકસાથે મૂકવામાં આવ્યો છે. | 0 | NIv2 | task438_eng_guj_parallel_corpus_en_gu_translation | zs_opt | [
-0.5655633807182312,
0.31131690740585327,
0.028314583003520966,
-0.7975777983665466,
-0.31406548619270325,
-0.30431920289993286,
0.47430500388145447,
0.025838065892457962,
-0.3105168342590332,
-0.9598749876022339,
-0.30293139815330505,
-0.14501869678497314,
-0.7111808061599731,
0.065389588... |
Two analogies that signify affordances are given in the form "A : B. C : ?". Affordance is the possibility of an action being done on an object, for example book is an affordance of writing. The phrase "A : B" implies that B is an affordance of A. Your task is to replace the question mark (?) with the appropriate affor... | tree
| 7 | NIv2 | task1153_bard_analogical_reasoning_affordance | fs_opt | [
0.39547497034072876,
1.1041549444198608,
-0.21890991926193237,
0.1616770178079605,
-0.2757713794708252,
0.20494666695594788,
1.466329574584961,
0.9988391399383545,
0.17432132363319397,
-0.6091729402542114,
-0.8202748894691467,
0.1607208102941513,
-0.4554911255836487,
-0.10944156348705292,
... |
In this task you will be given a list of strings and you need to concatenate them.
--------
Question: ['back!d', 'd', 'chain', 'd', 'K', 'q', 'y', 'B']
Answer: back!ddchaindKqyB
Question: ['y', 'those', 'Q', 'z', 'to', 'h', 'y']
Answer: ythoseQztohy
Question: ['T', 'G', 'fashion', 'u', 'h', 'to', 'J', 'V', 'fiery... | TGfashionuhtoJVfieryD
| 7 | NIv2 | task079_conala_concat_strings | fs_opt | [
0.11154638230800629,
0.8421844244003296,
-0.4454312026500702,
-0.7528393268585205,
0.14265471696853638,
-0.3958759307861328,
1.0081552267074585,
0.09088779985904694,
-0.5170414447784424,
0.12126224488019943,
-0.4231472313404083,
0.05754927173256874,
-0.2930593192577362,
0.00785989966243505... |
Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Hebrew.
Input: این کشورها استراتژیهایی که به شما نشان دادم را اتخاذ کردند ؛ مشارکت جامعه ، پیدا کردن موارد مبتلا به بیماری ، ردیابی تماسهایشان و غیره ، و در ذهنشان آنها را ملکه کردند.
Output: | המדינות לקחו את האסטרטגיות האלו שהראתי לכם; מעורבות הקהילה, מציאת המקרים, מעקב אחרי אנשים מגע, וכו ', והם הפכו אותם על ראשם. | 3 | NIv2 | task1269_ted_translation_fa_he | zs_opt | [
-0.37840092182159424,
0.6076048612594604,
-0.23864823579788208,
-0.4725816249847412,
-0.5394094586372375,
0.09214404225349426,
0.8785161972045898,
0.2907578647136688,
0.3336523771286011,
0.008195064961910248,
-0.9042179584503174,
0.17552004754543304,
-0.503602147102356,
0.08106537163257599... |
In this task, you're given a context passage. Your job is to generate relevant questions that can be answered by directly referring to the passage.
--------
Question: I went to the hospital yesterday because I've been so sick . I haven't been able to keep solids or liquids down , and my lower abdomen was hurting real b... | How did they turn on the water?
| 7 | NIv2 | task596_mocha_question_generation | fs_opt | [
0.9724545478820801,
0.5336794257164001,
-0.4005239009857178,
0.18676364421844482,
0.34599652886390686,
-0.5342249870300293,
0.7938250303268433,
0.6222002506256104,
-0.03194180876016617,
0.12813885509967804,
-0.3546968996524811,
0.40705084800720215,
-0.9016270637512207,
0.2023695856332779,
... |
Q: In this task, you need to count the number of words in a sentence that contain the given letter
Sentence: 'a person is fixing a window in the kitchen'. How many words contain the letter 'c' in the sentence.
A: | 1 | 7 | NIv2 | task161_count_words_containing_letter | zs_opt | [
-0.5049540400505066,
1.2697926759719849,
-1.2008955478668213,
0.023912975564599037,
-0.047455430030822754,
-0.08819301426410675,
-0.024797245860099792,
0.8904972076416016,
0.11198048293590546,
-0.17288756370544434,
0.23395214974880219,
-0.826012372970581,
-0.2858676016330719,
0.34824678301... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given one english sentence. The major part of the sentences talk about health-related topics, but some of the them describe an organization and its activities. Your job is to translate the given sentences into German.
Th... | Die Eingrenzungsprinzipien, Technologien und Verfahrensweisen, die angewendet werden, um die unbeabsichtigte Exposition gegenüber biologischen Erregern und Toxinen oder deren versehentliche Freisetzung zu verhindern. | 1 | NIv2 | task1396_europa_ecdc_tm_en_de_translation | zs_opt | [
-0.21969476342201233,
0.4915671646595001,
0.26586130261421204,
-0.41647595167160034,
-0.24322861433029175,
-0.5954170823097229,
0.49276190996170044,
0.5981234312057495,
0.2035444676876068,
0.01893456280231476,
-0.37049442529678345,
0.18388955295085907,
-0.6991678476333618,
-0.0926657393574... |
TASK DEFINITION: Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the ... | blue_cupboard
| 8 | NIv2 | task153_tomqa_find_location_hard_clean | fs_opt | [
0.6136312484741211,
-0.7417422533035278,
-0.525235652923584,
-0.1780715435743332,
-0.11049789935350418,
-0.3472175598144531,
0.10756617784500122,
0.7556329965591431,
0.2697872817516327,
-0.11427928507328033,
-0.13121740520000458,
0.31910526752471924,
-0.015125412493944168,
0.15585403144359... |
In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/existing words removed. Yo... | Andrew passed the police and made friends.
| 7 | NIv2 | task068_abductivenli_incorrect_answer_generation | fs_opt | [
0.6175534725189209,
0.2620599567890167,
-0.08071040362119675,
-0.14546658098697662,
-0.2239774763584137,
-0.24350319802761078,
0.42988070845603943,
0.7224514484405518,
-0.31431618332862854,
-0.2764686346054077,
-0.667747974395752,
0.11935429275035858,
-0.6031257510185242,
-0.19602476060390... |
In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative.
My girlfriend and I stopped in here for something to eat before a movie. We usually would hit Yard House but w... | NEGATIVE | 0 | NIv2 | task475_yelp_polarity_classification | zs_opt | [
-0.8607662916183472,
-0.0630357563495636,
-0.27791163325309753,
-0.15887324512004852,
0.6728436946868896,
-0.264007031917572,
0.689815104007721,
0.5566442012786865,
-0.5795256495475769,
0.10987047851085663,
0.3761286735534668,
0.008798886090517044,
-1.1746959686279297,
0.14185810089111328,... |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
Q: . سگت رو هم با خودت ببر
A: | and take the dog with you. | 4 | NIv2 | task659_tep_fa_en_translation | zs_opt | [
-1.4335952997207642,
1.0783348083496094,
-0.33698028326034546,
-0.04953403025865555,
-0.529413640499115,
-0.32585060596466064,
-0.10320489853620529,
-0.06447731703519821,
0.6371179223060608,
-0.47443169355392456,
0.05611049383878708,
1.3910549879074097,
-0.43086570501327515,
0.122272849082... |
Instructions: In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False".
Input: Paragraph: Diagnosis of MERS-Cov s... | True | 3 | NIv2 | task1162_coda19_title_classification | zs_opt | [
-0.3277062773704529,
0.3330421447753906,
-0.46404755115509033,
0.35678303241729736,
-0.03992728516459465,
0.023658135905861855,
0.5224246978759766,
0.8037795424461365,
0.2174590826034546,
0.1923941969871521,
-0.5611423254013062,
0.6145896911621094,
0.31432482600212097,
0.3913983702659607,
... |
Given a scientific question, generate an incorrect answer to the given question. The incorrect answer should be a plausible alternative to the correct answer. The answer should be some other item belonging to the same category as the correct answer but should be incorrect.
Q: What type of cells have chloroplasts?
A: ... | fungus
****
| 4 | NIv2 | task592_sciq_incorrect_answer_generation | fs_opt | [
-0.1150197833776474,
0.7788090705871582,
-0.528945803642273,
-0.04606756940484047,
-0.5729986429214478,
-0.7824951410293579,
0.04983267933130264,
0.27489832043647766,
-0.5256316661834717,
-0.8931293487548828,
-0.24096141755580902,
-0.31526777148246765,
-0.4231123626232147,
0.76132321357727... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into English.
Q: 振動する様子を見たいので撮影中に人形が置かれている台の上をちょっと叩いてやります
A: | But we do want to see the object vibrate, so to make that happen, we're just going to bang a little bit on the surface where it's resting while we record this video. | 4 | NIv2 | task1222_ted_translation_ja_en | zs_opt | [
0.5659633874893188,
0.2633786201477051,
-0.10995329916477203,
-0.1617838442325592,
0.4080439805984497,
-0.4186553657054901,
0.2871657907962799,
0.495725154876709,
-0.1631762981414795,
-0.30567508935928345,
0.7433526515960693,
-0.1115456372499466,
-0.08791045844554901,
0.66014564037323,
0... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Finnish Language. Please bear in mind the following guidelines while doin... | Hän oli pannut toimeen kaivauksia eräällä kummulla Long Downissa ja löytänyt historiantakaisen pääkallon, joka oli häntä suuresti ihastuttanut. | 0 | NIv2 | task1650_opus_books_en-fi_translation | fs_opt | [
0.07143965363502502,
0.45467609167099,
-0.20047485828399658,
-0.33983856439590454,
0.25241971015930176,
-0.6397411823272705,
1.135694146156311,
0.30105870962142944,
-0.2217140942811966,
-0.417136013507843,
-0.23365625739097595,
1.0196129083633423,
-1.098785400390625,
0.864577054977417,
0... |
In this task, you will be given two sentences sentence1 and sentence2. You should decide whether the second sentence is entailed(agreed) by the first sentence. If it does entail, answer "yes", else answer "no".
[EX Q]: sentence1:organization is launching version of computer_software sentence1:organization is releasing... | yes
| 6 | NIv2 | task970_sherliic_causal_relationship | fs_opt | [
-0.5089923143386841,
0.3584572672843933,
0.016713207587599754,
-0.26060301065444946,
-0.14971013367176056,
-0.2828352451324463,
0.0626814067363739,
0.8490246534347534,
0.8289212584495544,
-0.06943227350711823,
-0.46717217564582825,
-0.6884148120880127,
-0.6542438268661499,
-0.3725407123565... |
Definition: You are given a background paragraph that describes one or more causal or qualitative relationships such as a relationship in economics or a scientific law and a story that makes use of the concepts or the relationship described in the provided paragraph. You are also given a question about the story that r... | Ann. | 2 | NIv2 | task061_ropes_answer_generation | zs_opt | [
1.1175813674926758,
0.345115065574646,
-0.680309534072876,
-0.15845108032226562,
0.07022307813167572,
-0.5676883459091187,
0.19706372916698456,
0.9447380304336548,
-0.20859786868095398,
-0.14251883327960968,
-0.2755332589149475,
-0.058341898024082184,
-0.34515053033828735,
0.36516302824020... |
Given a scientific passage and an answer, generate a question for the given answer.
Example input: Passage: A frameshift mutation is a deletion or insertion of one or more nucleotides that changes the reading frame of the base sequence. Deletions remove nucleotides, and insertions add nucleotides. Consider the followi... | Olfactory, optic, and vestibulocochlear nerves are related to what type of function? | 3 | NIv2 | task594_sciq_question_generation | fs_opt | [
0.5354156494140625,
-0.22238750755786896,
-0.21185724437236786,
0.3678337335586548,
0.6374146938323975,
-0.9614611268043518,
0.2516520619392395,
0.9084344506263733,
0.09385968744754791,
-0.147602379322052,
0.04769185930490494,
-0.15015193819999695,
-0.38956618309020996,
0.3327484726905823,... |
Detailed Instructions: Given a sentence, fill out the missing word with a 'no' or a number (between zero and ten). You should write the numbers with english alphabet, like: four instead of 4.
Q: Ferrets bite in ____ manners.
A: | two | 9 | NIv2 | task1359_numer_sense_answer_generation | zs_opt | [
-0.6266698241233826,
1.220992922782898,
-0.26672685146331787,
-0.30859774351119995,
-0.25372564792633057,
-0.1629689335823059,
0.8578709363937378,
0.1605948507785797,
-0.19557945430278778,
-0.36378756165504456,
-0.19852715730667114,
-0.21232564747333527,
-0.7615054845809937,
-0.13885763287... |
Q: In this task, you will be given a sentence in the Indonesian language(Bahasa variant). Your job is to convert it into the English language.
"Kami secara khusus meminta kepada Israel untuk menghentikan serangan brutal mereka kepada warga Palestina yang tak berdaya di Jalur Gaza dan meninjau kembali penolakan mereka t... | "We particularly call on Israel to end its brutal assault on the vulnerable Palestinian people of Gaza and to reconsider its rejection of the United Nations Security Council's call for a ceasefire," the statement said. | 7 | NIv2 | task543_alt_translation_bh_en | zs_opt | [
0.13593828678131104,
1.0634881258010864,
0.3487005829811096,
-0.49235039949417114,
-0.2610863745212555,
-1.3320317268371582,
1.2881007194519043,
-0.4968050718307495,
0.7550129294395447,
0.31614476442337036,
-0.27707090973854065,
1.2627298831939697,
-0.7316543459892273,
-0.4773632287979126,... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Ese compoñente é que non podemos suxeitarnos ao desenlace.
Output: | それは、結果にこだわりすぎてはいけないということです。 | 1 | NIv2 | task1239_ted_translation_gl_ja | zs_opt | [
-0.10344843566417694,
0.6283087730407715,
0.4000679850578308,
-0.638716995716095,
0.19121313095092773,
-0.6618292331695557,
1.0506266355514526,
0.07294581085443497,
0.14481405913829803,
-0.09702735394239426,
-0.1357060968875885,
0.020691456273198128,
-0.477750688791275,
0.3016875386238098,... |
In this task, you must classify if a given review is positive/negative, indicating your answer as P or N.
--------
Question: ever feel you 're spending your whole life on the net ( ouch ! ) , eating , breathing and excreting web sites ? that your most meaningful relationships are being formed on the net ? that you get ... | P
| 7 | NIv2 | task1361_movierationales_classification | fs_opt | [
0.07536864280700684,
0.558937668800354,
-0.5578014254570007,
-0.0951382964849472,
0.5294310450553894,
0.03840130195021629,
1.3513599634170532,
0.6300939321517944,
-0.05597146600484848,
0.6412403583526611,
-0.649604856967926,
0.33081233501434326,
-0.2844000458717346,
-0.09224174171686172,
... |
Teacher:The input is a sentence. The sentence includes an emotion. The goal of the task is to classify the emotion in the sentence to one of the classes: 'fear', 'joy', 'anger', 'sadness'. The emotion mainly depends on the adverb within the sentence.
Teacher: Now, understand the problem? Solve this instance: The situat... | anger | 6 | NIv2 | task1338_peixian_equity_evaluation_corpus_sentiment_classifier | zs_opt | [
-0.4701348543167114,
0.15423484146595,
0.4916553497314453,
-1.076107382774353,
0.04197915270924568,
-0.5253920555114746,
0.5108141303062439,
0.5399813652038574,
-0.09859980642795563,
-0.5682663917541504,
-0.5811687707901001,
-0.796518087387085,
-0.5061666369438171,
-0.43506866693496704,
... |
Detailed Instructions: In this task, you are given two strings A,B. You must perform the following operations to generate the required output list: (i) Find the longest common substring in the strings A and B, (ii) Convert this substring to all lowercase and sort it alphabetically, (iii) Replace the substring at its re... | MHqjbchijjluyzKWckEJSVrw, OIUbchijjluyzmGmbjj | 8 | NIv2 | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | zs_opt | [
0.19837720692157745,
0.799880862236023,
-0.37419646978378296,
-0.2900274395942688,
0.10432546585798264,
-0.00045540742576122284,
0.23153333365917206,
-0.4146927297115326,
0.015304753556847572,
-0.005193860735744238,
-0.7918077707290649,
-0.5818614363670349,
0.3040374219417572,
0.0962774604... |
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are fine labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is : '$': D... | NN | 3 | NIv2 | task584_udeps_eng_fine_pos_tagging | fs_opt | [
0.03766071796417236,
0.33330339193344116,
-0.07639019936323166,
0.4741801917552948,
0.009483582340180874,
-0.7882530093193054,
0.5293160676956177,
0.9404677152633667,
-0.6659217476844788,
-0.15578380227088928,
-0.052808646112680435,
0.2200331836938858,
-0.14976872503757477,
-0.015545522794... |
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: 'U.N. food-aid ships headed to Mogadishu , the capital of Somalia , are now escorted by foreign warships .', Argument/Subject 1: 'mogadishu', ... | be capital of | 0 | NIv2 | task676_ollie_relationship_answer_generation | zs_opt | [
0.5467443466186523,
0.6408224701881409,
0.31841346621513367,
-1.0113935470581055,
-0.06333060562610626,
-1.0809519290924072,
-0.29322659969329834,
0.40041384100914,
0.007120367139577866,
0.21375137567520142,
0.06036267429590225,
0.08607012033462524,
-1.2484240531921387,
0.200508251786232,
... |
instruction:
In this task, you're given five sentences, numbered 1 through 5. Your job is to generate a title for the story that makes complete sense. The title must be short, with less than three words, use simple language, and include the main topic of the story.
question:
Sentence 1: In 1994 we went to Mystic for a ... | Not as Planned
| 9 | NIv2 | task219_rocstories_title_answer_generation | fs_opt | [
0.07726120948791504,
0.2519901990890503,
-0.9904085397720337,
-0.2583010196685791,
0.6149113178253174,
-0.8786827325820923,
0.2743890881538391,
0.9044585227966309,
-0.5166440010070801,
-0.05531913414597511,
-0.15129528939723969,
0.013811693526804447,
-0.7428029179573059,
0.2265185713768005... |
Instructions: 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: លោក Alan Sugarនឹងបន្តដឹកនាំរឿងភាគរបស់ BBC ឈ្មោះ The Apprentice បន្ទាប់ពីការតែងតាំងលោកជា "តារាសហគ្រាស" សំរាប់រដ្ឋាភិបាលអ... | アラン・シュガー卿は、英国政府のための「企業家の権威者」として指名を受けた後、BBCシリーズ、アプレンティスの前面に出続ける。 | 3 | NIv2 | task1122_alt_khm_ja_translation | zs_opt | [
-0.7198952436447144,
0.3014330267906189,
0.32428818941116333,
-1.5845658779144287,
0.12995480000972748,
-0.08235429227352142,
-0.25904417037963867,
-0.4880422353744507,
-0.722924530506134,
-0.4303436875343323,
0.3041856586933136,
-0.31702545285224915,
-0.850189745426178,
0.4505206346511841... |
Instructions: You're given a fill-in-the-blank question where the answer is PersonX. You need to minimally change the given question so that the answer flips to PersonY. This task typically involves replacing one word i.e., the 'trigger word' with its antonym (e.g., changing from "sympathetic" to "stern"). You should n... | PersonX was more likely to get defensive during conversation than PersonY, because _ did not have a sensitive nature. | 3 | NIv2 | task035_winogrande_question_modification_person | zs_opt | [
0.8939080238342285,
0.3829827606678009,
-0.23325283825397491,
-0.16324731707572937,
0.17949023842811584,
-1.1578055620193481,
1.4418138265609741,
0.6574761867523193,
-0.1789587289094925,
-0.7756121754646301,
-0.28931012749671936,
0.0222011711448431,
-1.055077314376831,
0.09061172604560852,... |
Instructions: Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
Input: What Beatles song was also recorded by Peter Sellars?
Output: | the beatles | 3 | NIv2 | task899_freebase_qa_topic_generation | zs_opt | [
1.0672513246536255,
1.2308156490325928,
-1.296769618988037,
1.0579092502593994,
-0.21755166351795197,
-1.1121201515197754,
0.24741965532302856,
0.1238766685128212,
0.40624263882637024,
-0.6107532382011414,
-0.7545312643051147,
0.6633111238479614,
0.161709263920784,
-0.1507287621498108,
0... |
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 | task1200_atomic_classification_xeffect | fs_opt | [
0.7318320274353027,
0.04681763797998428,
0.18311333656311035,
0.11377938091754913,
-0.34013521671295166,
-0.9508122205734253,
0.9516844153404236,
1.067929983139038,
-0.565644383430481,
-0.27321767807006836,
-0.5337132215499878,
-0.15149140357971191,
-0.7626361846923828,
-0.2278942316770553... |
Given a sentence in English(en), generate a translation of that sentence in Hindi(hi) without changing the meaning of the input sentence as the output
One example: My dear countrymen, Namaskar.
Solution is here: मेरे प्यारे देशवासियो, नमस्कार
Explanation: The generated output has the same meaning as the given input se... | यह दुनिया की सबसे ऊची प्रतिमा है | 6 | NIv2 | task1654_mkb_translation | fs_opt | [
-0.1047675758600235,
0.3059810996055603,
0.07050946354866028,
0.505791425704956,
-0.17528578639030457,
-0.9583157300949097,
-0.17877677083015442,
-0.10695495456457138,
-0.05761432275176048,
-0.2914174795150757,
-1.0578827857971191,
0.16651998460292816,
-0.24393148720264435,
0.3408011198043... |
Definition: In this task, you will be presented with a question, and you have to write the part-of-speech tag for each word in the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word,... | DT NN IN DT NNP NNP VBD JJ NNS IN WRB JJ NNS . | 2 | NIv2 | task345_hybridqa_answer_generation | zs_opt | [
0.7731324434280396,
0.34569430351257324,
-0.21131545305252075,
0.23563560843467712,
-0.04073312506079674,
-1.0061728954315186,
0.9084247350692749,
0.493366003036499,
-0.36055248975753784,
0.09383487701416016,
-0.1555667519569397,
0.3817271292209625,
-0.38776901364326477,
0.1736238896846771... |
Detailed Instructions: Translation from English to Telugu.
Problem:- Get in there.
Solution: | - అక్కడ పొందండి. | 8 | NIv2 | task1330_open_subtitles_en_te_translation | zs_opt | [
1.0767796039581299,
0.6316163539886475,
-0.3565380573272705,
0.26704278588294983,
0.09563172608613968,
-0.7239171266555786,
0.11317874491214752,
-0.06432125717401505,
0.20747458934783936,
0.05895859748125076,
-0.17128294706344604,
0.004902621731162071,
-0.655555009841919,
0.419265687465667... |
In this task, you're given reviews from Amazon's products. Your task is to generate the Summary of the review.
One example is below.
Q: My cat won't touch these. My dog, however, chews them and makes a mess all over the carpet and I can't get the shredded sticks out! Messy. Waste of money!
A: Cat hates them
Rationale: ... | Fifty rounds of subsonic .22 ammo ate this thing up | 9 | NIv2 | task618_amazonreview_summary_text_generation | fs_opt | [
-0.127932608127594,
0.6853232383728027,
-0.11565488576889038,
-0.32097703218460083,
0.05409006029367447,
-0.7582288980484009,
0.37643730640411377,
0.30151262879371643,
-0.5342576503753662,
0.27767956256866455,
0.1168178915977478,
0.7690142393112183,
-1.258894920349121,
-0.6066953539848328,... |
Q: 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 ... | The kite flies higher and higher until it is above the treetops >Causes> I feel(s) happy | 7 | NIv2 | task749_glucose_reverse_cause_emotion_detection | zs_opt | [
-0.5622379779815674,
0.27190107107162476,
-0.12983161211013794,
-0.22719287872314453,
-0.060251384973526,
-1.2524960041046143,
0.25841039419174194,
1.294651746749878,
-0.2480366975069046,
0.2659212648868561,
-0.3106362819671631,
0.18554718792438507,
-0.9120180010795593,
0.22422005236148834... |
In this task, you're given a statement, the genre to which that statement belongs, and a label indicating if the statement should be agreed with (entailment), disagreed with (contradiction), or neither (neutral). Your job is to write a sentence that describes the genre that follows the tone with respect to the statemen... | I actually was referring to the world in general.
| 3 | NIv2 | task203_mnli_sentence_generation | fs_opt | [
-0.653351902961731,
0.10177065432071686,
-0.23328809440135956,
0.6188699007034302,
0.2602902054786682,
-0.5360485315322876,
-0.17825442552566528,
0.8823451399803162,
-0.18331311643123627,
0.29429757595062256,
0.06737452745437622,
0.06965947896242142,
-0.38113269209861755,
-0.49628210067749... |
Q: This task is to translate a news commentary given in Dutch language into Portuguese language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Integendeel, ze zouden gunstig afsteken bij de staatsob... | Pelo contrário, seriam comparadas de modo favorável com as obrigações dos Estados Unidos, do Reino Unido, e do Japão. | 7 | NIv2 | task1375_newscomm_translation | zs_opt | [
-0.7183223962783813,
0.6086823344230652,
0.3948543667793274,
-0.07367821782827377,
-0.1721714287996292,
-0.1451980471611023,
-0.19009947776794434,
0.5100435018539429,
-0.1549263894557953,
-0.3634622097015381,
-0.25694671273231506,
0.46173742413520813,
-0.22358445823192596,
0.02239025942981... |
Instructions: In this task, you're given a passage, 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'.
Input: Passage: Pol became the se... | Answer: 34 | 3 | NIv2 | task238_iirc_answer_from_passage_answer_generation | zs_opt | [
0.25821036100387573,
0.6073449850082397,
-0.1522822380065918,
0.3676917850971222,
0.6527205109596252,
-0.36026376485824585,
-0.40436291694641113,
1.0252653360366821,
0.8903900384902954,
0.17406830191612244,
-0.3543854355812073,
0.729986846446991,
-0.933912992477417,
-0.12276937812566757,
... |
Q: 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.
PersonX stays ___ from work
A: | home | 7 | NIv2 | task1217_atomic_answer_generation | zs_opt | [
-0.16290396451950073,
0.9683432579040527,
-0.396912544965744,
-0.710349977016449,
0.01101384125649929,
-0.6855827569961548,
0.33347654342651367,
0.767902672290802,
0.006704994477331638,
-0.7055487632751465,
-0.36031943559646606,
-1.0291547775268555,
-0.3290678858757019,
-0.3973498642444610... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Japanese.
Został złapany przez oddanych, pomysłowych, genialnych ludzi przy współudziale różnych technologii.
人工知能ではなく様々な技術に助けられた優秀で機略に富む懸命な人々でした
Mają odrębną anatomię i fizjologię, która zasługuje na równie dogłębne badania.
女性は独自の... | その病気は「突然金持ち病」です （ 笑 ） これはビックリするような現象です
| 0 | NIv2 | task1257_ted_translation_pl_ja | fs_opt | [
-0.7919936180114746,
0.5270527005195618,
-0.2741233706474304,
-0.6125050783157349,
-0.18519005179405212,
-0.3854774832725525,
0.7313619256019592,
-0.14467638731002808,
0.34569114446640015,
-0.7300227284431458,
-0.7098818421363831,
0.3841490149497986,
-0.565039336681366,
0.15986263751983643... |
Q: Given a sentence in German, generate a new German sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it ... | Die Freiheit, Software zu entwerfen, hat neue Software zu bewältigen. | 7 | NIv2 | task416_mickey_de_sentence_perturbation_generation | zs_opt | [
-1.1656033992767334,
0.7295187711715698,
0.2832064628601074,
-0.5313485860824585,
-0.4728739261627197,
-0.4451611340045929,
1.0693464279174805,
0.7449069023132324,
0.45271652936935425,
-0.56351637840271,
-0.29659590125083923,
0.02246631309390068,
-0.9985629320144653,
0.609254002571106,
-... |
Given the task definition, example input & output, solve the new input case.
In this task, you need to answer the given multiple-choice question on the gain. Gain is the value by which to multiply the input. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Example: Problem: on a sum of money , the simple interes... | b | 1 | NIv2 | task1419_mathqa_gain | fs_opt | [
0.9836751222610474,
-0.23125097155570984,
-0.4861663281917572,
0.013812192715704441,
0.03287104517221451,
-0.7472503185272217,
1.2712376117706299,
1.1837385892868042,
-0.19071583449840546,
0.062050312757492065,
-0.6411231756210327,
0.19178315997123718,
-0.7728010416030884,
-0.2817559838294... |
In this task, you're given a context, a question, three options, and an answer. Your task is to classify whether the given answer is correct or not by providing 'Yes' or 'No', based on the context with commonsense reasoning about social situations.
Example: Context: Tracy didn't go home that evening and resisted Riley'... | Solution: Yes | 5 | NIv2 | task579_socialiqa_classification | fs_opt | [
0.4057502746582031,
-0.032119713723659515,
0.5444281101226807,
0.31357043981552124,
0.2322007268667221,
-0.5442093014717102,
0.5683228373527527,
0.6101458668708801,
-0.09402009844779968,
0.5092208385467529,
-0.0060432422906160355,
-0.08293793350458145,
-0.0846574455499649,
-0.2694992423057... |
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 (reason) ... | ['NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_D... | 3 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | zs_opt | [
-0.06263615936040878,
0.12547174096107483,
-0.018710952252149582,
-0.044430315494537354,
0.2971339225769043,
-0.23864641785621643,
0.4685896933078766,
0.8030306100845337,
-0.269109845161438,
0.12852570414543152,
-0.2765084505081177,
-0.4574431777000427,
-0.7200596332550049,
-0.142369210720... |
You will be given a definition of a task first, then some input of the task.
A text is given in Oriya. Translate it from the Oriya language to the Panjabi language. The translation must not omit or add information to the original sentence.
14. ଦେଶର ସୁରକ୍ଷା ହେଉଛି ଆମର ଗୁରୁତ୍ୱ । ଆଭ୍ୟନ୍ତରୀଣ ସୁରକ୍ଷାକୁ ଆମେ ପ୍ରାଧାନ୍ୟ ଦେଉଛୁ ।... | ਮੇਰੇ ਪਿਆਰੇ ਦੇਸ਼ ਵਾਸੀਓ, ਇਹ ਸਪੱਸ਼ਟ ਹੈ ਕਿ ਦੇਸ਼ ਦੀ ਸੁਰੱਖਿਆ ਸਾਡੀ ਪ੍ਰਾਥਮਿਕਤਾ ਹੈ, ਅੰਦਰੂਨੀ ਸੁਰੱਖਿਆ ਸਾਡੀ ਪਹਿਲ ਹੈ । ਸਮੁੰਦਰ ਹੋਵੇ ਜਾਂ ਸਰਹੱਦ, ਸਾਇਬਰ (Cyber) ਹੋਵੇ ਜਾਂ ਸਪੇਸ (Space) ਹੋਵੇ, ਹਰ ਪ੍ਰਕਾਰ ਦੀ ਸੁਰੱਖਿਆ ਲਈ ਭਾਰਤ ਆਪਣੇ ਆਪ ਵਿੱਚ ਸਮਰੱਥ ਹੈ ਅਤੇ ਦੇਸ਼ ਦੇ ਖਿਲਾਫ ਕੁਝ ਵੀ ਕਰਨ ਵਾਲਿਆਂ ਦੇ ਹੌਸਲੇ ਪਸਤ ਕਰਨ ਦੀ ਅਸੀਂ ਤਾਕਤ ਰੱਖਦੇ ਹਾਂ । | 1 | NIv2 | task1039_pib_translation_oriya_punjabi | zs_opt | [
0.5978449583053589,
1.6652202606201172,
-0.2602931261062622,
0.03970051184296608,
-0.7487667798995972,
-0.704404354095459,
1.6470552682876587,
-0.1420830637216568,
0.017742540687322617,
0.25689929723739624,
-0.626166820526123,
-0.8185768127441406,
-0.7635058760643005,
-0.3798940181732178,
... |
In this task, you're given a short story of five sentences written in natural language. However, the order of the given story is not correct. Your job is to return the correct order for the given five sentences to create a coherent short story with the new order that has the correct flow. Generate your answer using the... | 21354 | 4 | NIv2 | task300_storycloze_order_generation | zs_opt | [
-0.3190317749977112,
0.5675469636917114,
-0.1381751149892807,
-0.7565029859542847,
-0.16341322660446167,
-0.4961599111557007,
0.1866954267024994,
0.29086172580718994,
-0.16935354471206665,
0.5046457648277283,
-0.317533016204834,
-0.4307778477668762,
-0.7670742273330688,
0.01300196722149849... |
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 probability of it b... | 人们不愿与陌生人住在一起。
| 6 | NIv2 | task412_mickey_zh_sentence_perturbation_generation | fs_opt | [
-0.4341493844985962,
-0.015428528189659119,
-0.3329259157180786,
-0.5053844451904297,
-0.08534456789493561,
-0.5598164796829224,
0.058361418545246124,
0.6382346153259277,
0.22494834661483765,
-0.07958658039569855,
-0.989984929561615,
0.1338290423154831,
-0.091557078063488,
0.03352907299995... |
TASK DEFINITION: In this task, you are given a news article. Your task is to classify the article to one out of the four topics 'World', 'Sports', 'Business', 'Sci/Tech' if the article's main topic is relevant to the world, sports, business, and science/technology, correspondingly. If you are not sure about the topic, ... | Sci/Tech
| 8 | NIv2 | task379_agnews_topic_classification | fs_opt | [
-0.033175766468048096,
-0.3180593252182007,
-0.7290173172950745,
0.8857722282409668,
0.056568555533885956,
0.5381313562393188,
-0.09802766144275665,
0.7503417730331421,
0.184349924325943,
0.3799954056739807,
-0.6909263730049133,
0.4556591510772705,
-0.056574247777462006,
-0.187349736690521... |
Teacher:In this task, you are given a question. You have to answer the question based on your information.
Teacher: Now, understand the problem? Solve this instance: In what year was the South Park season that contains the animated sitcom's 223rd episode aired?
Student: | 2011 | 6 | NIv2 | task1293_kilt_tasks_hotpotqa_question_answering | zs_opt | [
-0.6586316227912903,
0.2152690589427948,
0.3046100437641144,
-0.8139030933380127,
-0.34196048974990845,
-0.9316269159317017,
0.1892355978488922,
-0.06754276156425476,
-0.12549614906311035,
0.008550867438316345,
0.15071144700050354,
-0.1795848309993744,
-0.5781547427177429,
-0.3693054914474... |
In this task, you have to generate the title of the recipe given its required ingredients and directions.
Q: ingredients: '2 pounds spaghetti', '1 tablespoon vegetable oil', '1 head garlic, minced', '1 onion, chopped', '1 pound ground beef', '1 pound ground pork', 'salt and pepper to taste', '1 (26.5 ounce) can spagh... | Unique Chocolate Cake
****
| 4 | NIv2 | task569_recipe_nlg_text_generation | fs_opt | [
1.0481109619140625,
0.4481486976146698,
-0.5616444945335388,
0.7578048706054688,
0.6498216390609741,
-0.573682427406311,
0.6214193105697632,
0.7265022993087769,
-0.532376229763031,
-0.2870508134365082,
-0.11893080174922943,
0.3527035713195801,
0.0459899939596653,
0.219997376203537,
-0.19... |
In this task, you will be presented with a premise sentence and a hypothesis sentence in Persian. Determine whether the hypothesis sentence entails, contradicts, or is neutral with respect to the given premise sentence. Classify your answers into "Contradiction", "Neutral", or "Entailment".
Input: Consider Input: Prem... | Output: Entailment
| 2 | NIv2 | task463_parsinlu_entailment_classification | fs_opt | [
-0.8219587802886963,
0.5351688861846924,
-0.0745256319642067,
0.31210875511169434,
-0.5532727837562561,
-0.1296624094247818,
0.9171766042709351,
0.7342672944068909,
1.043662190437317,
-0.12367779016494751,
-0.9792368412017822,
0.4328843951225281,
-0.1579243689775467,
-0.5406238436698914,
... |
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.
One example is below.
Q: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
A: positive
Rationale: There is an expression of happin... | positive | 9 | NIv2 | task195_sentiment140_classification | fs_opt | [
-1.4053386449813843,
0.18810215592384338,
0.6730880737304688,
0.2710575461387634,
0.434982568025589,
-1.3768393993377686,
0.05025552958250046,
0.2720547616481781,
0.3434310555458069,
0.814254641532898,
-0.7272440791130066,
-0.40983402729034424,
-0.21253196895122528,
-0.5863688588142395,
... |
In this task, you need to answer the given multiple-choice question on the general math. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
[EX Q]: Problem: a positive number x is multiplied by 7 , and this product is then divided by 3 . if the positive square root of the result of these two operations equals x ,... | c
| 6 | NIv2 | task1420_mathqa_general | fs_opt | [
-0.09961619973182678,
0.5903915166854858,
-0.37244629859924316,
-0.26722413301467896,
0.0230276919901371,
0.18367762863636017,
0.8025057315826416,
1.158692479133606,
-0.035877760499715805,
-0.21509668231010437,
-0.3107752799987793,
0.05176515504717827,
-0.38707366585731506,
-0.348207741975... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | No | 9 | NIv2 | task1211_atomic_classification_hassubevent | fs_opt | [
0.45318543910980225,
0.031063474714756012,
0.4949505031108856,
0.2720303535461426,
-0.41472911834716797,
-0.4746336340904236,
0.5212221145629883,
0.4420737028121948,
-0.7951783537864685,
-0.21636180579662323,
-0.48214191198349,
-0.7002221345901489,
-0.5634163618087769,
-0.07857167720794678... |
You will be given a definition of a task first, then some input of the task.
In this task, you need to count the number of times the given letter appears in the given sentence.
Sentence: 'a person riding a motorcycle on a city street'. Find frequency of the letter 't'
Output: | 4 | 1 | NIv2 | task113_count_frequency_of_letter | zs_opt | [
-0.6239610910415649,
0.3223228454589844,
-0.24425789713859558,
0.2118532657623291,
0.6482220888137817,
0.5217304229736328,
0.369541734457016,
0.6113812923431396,
-0.024660717695951462,
0.22647131979465485,
-0.8748767375946045,
-0.49926289916038513,
-0.11813437938690186,
-0.1204899996519088... |
Generate an appropriate single-sentence summary for the given text such that it includes the main topic of the text.
The overall economy reduced by between 6% to 8% over this period, in a year it was expected to grow by up to 1.5%. The "unprecedented" cost includes £52m in business support, £28m in tax losses and £40m... | The coronavirus pandemic has cost the States of Guernsey more than £120m in 2020, according to the latest budget . | 0 | NIv2 | task1357_xlsum_summary_generation | zs_opt | [
-0.18796788156032562,
0.6123735904693604,
-0.10609140992164612,
-0.5841319561004639,
0.41947734355926514,
0.34639883041381836,
0.4617655277252197,
1.0627903938293457,
-0.7513657808303833,
-0.17130593955516815,
-0.4234260320663452,
0.05416899919509888,
-0.6763496398925781,
-0.40655106306076... |
In this task, you have to generate the title of the recipe given its required ingredients and directions.
ingredients: '2 cups all-purpose flour', '1/2 cup sugar', '1 teaspoon baking powder', '1/2 teaspoon baking soda', '1/2 teaspoon salt', '1/8 teaspoon ground nutmeg', '1/4 cup butter', '1 1/4 cups low-fat buttermil... | Chicken With Cashews and Broccoli
| 0 | NIv2 | task569_recipe_nlg_text_generation | fs_opt | [
0.7065469026565552,
0.20431122183799744,
-0.8046232461929321,
0.44190043210983276,
0.29656702280044556,
0.2815439701080322,
1.0672658681869507,
1.0553163290023804,
-0.3885189890861511,
-0.5128065347671509,
-0.1490018367767334,
0.9024505615234375,
0.0032353040296584368,
0.5032955408096313,
... |
Detailed Instructions: Given a prompt and four completions, select the completion that is the most plausible in continuing or answering the prompt. This task is designed to test common sense and has various categories ranging between idioms, negated statements, polysemy, subject referencing, and quantitative reasoning.... | Completion D | 9 | NIv2 | task156_codah_classification_adversarial | zs_opt | [
-0.1497856229543686,
1.0372047424316406,
-0.3833974003791809,
-0.8913825750350952,
-0.5957101583480835,
0.10306908190250397,
1.1148996353149414,
-0.03337962552905083,
0.3462493419647217,
-0.1754469871520996,
-0.5246179103851318,
0.010353630408644676,
-0.10360424965620041,
-0.04272621124982... |
In this task, you're given a review from Amazon's food products. Your task is to generate a short summary of the given review in the input. Note that you don't need to write a complete sentence as a summary.
Q: I just called Bob's Red Mill customer service (just do a G search for the company, their customer service nu... | Great Cocoa
****
| 4 | NIv2 | task589_amazonfood_summary_text_generation | fs_opt | [
-0.6018210649490356,
-0.12245143204927444,
-0.09989635646343231,
-0.4850062131881714,
0.2343357503414154,
-0.7310665845870972,
0.30406010150909424,
1.0919313430786133,
-0.2647729814052582,
0.6223214864730835,
-0.2773360311985016,
0.01695394329726696,
-0.3301149308681488,
-0.362175107002258... |
Given the task definition and input, reply with output. Given a passage with a question and an answer to that question, classify if the answer actually answers the question into 'yes' or 'no'. Output 'yes' if the answer answers the question and output 'no' if the answer does not answer the question.
Question: Are pLAC... | no | 5 | NIv2 | task846_pubmedqa_classification | zs_opt | [
-0.5541910529136658,
-0.12995851039886475,
-0.05390426889061928,
0.19323162734508514,
-0.40604251623153687,
-0.22065243124961853,
0.24814265966415405,
0.5284662246704102,
0.6180623769760132,
0.08657403290271759,
-1.304072380065918,
0.5655227899551392,
0.025836942717432976,
0.07250586897134... |
TASK DEFINITION: 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
PROBLEM: The whole mess boils down to a transparently hypocritical work that feels as though it 's ... | POS
| 8 | NIv2 | task363_sst2_polarity_classification | fs_opt | [
-0.6805997490882874,
0.19358709454536438,
0.08778536319732666,
0.0924052745103836,
0.45968782901763916,
-0.4497027099132538,
0.8300797343254089,
0.6505913734436035,
0.1995515674352646,
0.47431671619415283,
-0.5493344664573669,
-0.444791316986084,
0.12123309075832367,
-0.25333964824676514,
... |
Detailed Instructions: 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'. The... | B | 9 | NIv2 | task228_arc_answer_generation_easy | zs_opt | [
0.7874878644943237,
0.477088987827301,
-0.6348018050193787,
-0.9849406480789185,
-0.3137087821960449,
-0.6729753017425537,
0.0639752522110939,
0.6379780769348145,
-0.059266407042741776,
0.10041315108537674,
-0.653878927230835,
0.0005529023474082351,
0.4681501090526581,
-0.5569703578948975,... |
Given a sentence in Igbo language, translate the sentence to English language keeping the meaning of the original sentence intact
Q: Igbo sentence: Enye akpaka Fibonacci etoju aga na ụbọchị na aga izu.
A: | Provides automatic Fibonacci levels for previous day and previous week. | 4 | NIv2 | task449_opus_paracrawl_ig_en_translation | zs_opt | [
-0.4271763861179352,
0.5303052663803101,
-0.1309426724910736,
-0.0007989822188392282,
-0.0779138058423996,
-1.4012670516967773,
0.758623480796814,
0.5787009000778198,
-0.30936896800994873,
-0.6534563899040222,
-0.7992843389511108,
0.342415988445282,
-0.5477023124694824,
0.849717378616333,
... |
Detailed Instructions: In this task you will be given two lists of numbers and you need to calculate the intersection between these two lists. The intersection between two lists is another list where every element is common between the two original lists. If there are no elements in the intersection, answer with an emp... | [4, 7] | 9 | NIv2 | task098_conala_list_intersection | zs_opt | [
0.2960531413555145,
0.7165937423706055,
-0.3457334041595459,
-0.5491102933883667,
0.43220055103302,
-0.09105689078569412,
0.5626320838928223,
0.4709644615650177,
0.33574897050857544,
0.15656745433807373,
-0.24492190778255463,
-0.1815231591463089,
-0.11732217669487,
0.5059181451797485,
-0... |
Detailed Instructions: In this task, you're given a story (which contains five sentences only). Your task is to find all the characters which are available in the given story.
See one example below:
Problem: Sentence1: My dog was bored. Sentence2: I was working all day so I couldn't spend time with him. Sentence3: When... | Sue | 4 | NIv2 | task292_storycommonsense_character_text_generation | fs_opt | [
0.009250523522496223,
-0.0755855143070221,
-0.2769928276538849,
-0.28640103340148926,
0.0927298367023468,
-0.44779372215270996,
0.5104678869247437,
0.5876036882400513,
0.27472400665283203,
-0.13457277417182922,
-0.2405930459499359,
-0.37226414680480957,
-0.2988375127315521,
-0.122567117214... |
Q: In this task, you are given an article. Your task is to summarize the article in a sentence.
For a decade now, Formula 1 has been dominated by an elite group of drivers - Fernando Alonso, Jenson Button, Lewis Hamilton, Kimi Raikkonen and Sebastian Vettel have between them won every world championship since 2005.
And... | Formula 1 is undergoing a generational shift this year, with a new crop of drivers staking their claim to be the next set of global stars. | 7 | NIv2 | task1290_xsum_summarization | zs_opt | [
-0.3913816809654236,
-0.05272230505943298,
-0.1768316626548767,
-0.1079796552658081,
0.09376959502696991,
0.4432050585746765,
0.7911653518676758,
1.40322744846344,
0.06584819406270981,
0.11212842166423798,
-0.710899829864502,
0.08625394105911255,
0.23374605178833008,
0.47027587890625,
-0... |
Instructions: You will be given a sentence that describes a restaurant. You will also be given a few categories of information regarding that sentence. Your task is to fill each of the categories with the appropriate information from the sentenece.
Input: Sentence: xname is the best restaurant since it is an Italian pl... | recommend[yes], service[good], decor[acceptable] | 3 | NIv2 | task1597_nyc_slot_filling | zs_opt | [
-0.6767880916595459,
0.7278940081596375,
-0.930255115032196,
-0.014426592737436295,
-0.7611342668533325,
0.5911765098571777,
0.5435266494750977,
0.7144004106521606,
0.06767657399177551,
-0.32764580845832825,
0.569733202457428,
0.1831103414297104,
0.022578220814466476,
0.21685931086540222,
... |
Q: 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 label 'inform... | formal | 7 | NIv2 | task1533_daily_dialog_formal_classification | zs_opt | [
-0.707600474357605,
0.8845644593238831,
0.12794797122478485,
-0.6060633659362793,
-0.3415253758430481,
-0.2974078059196472,
1.0559775829315186,
-0.09539546072483063,
0.058934904634952545,
-0.15423500537872314,
-0.13015106320381165,
-0.35757240653038025,
-0.6927502155303955,
0.7494826316833... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
A 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.
ਪੱਛਮ ਤੋਂ ਪੂਰਬ ਤੱਕ ਊਰਜਾ ਖਪਤ ... | സ്കില് ഇന്ത്യ | 0 | NIv2 | task1006_pib_translation_punjabi_malayalam | fs_opt | [
-0.14062446355819702,
0.9877400398254395,
-0.05748332291841507,
-0.9167383313179016,
-0.4182949364185333,
-1.1492360830307007,
0.7366942167282104,
0.2893823981285095,
-0.049143560230731964,
-0.34103211760520935,
-0.31957483291625977,
-0.12727391719818115,
-0.675943911075592,
-0.02812830358... |
Instructions: You are given a sentence in English. Your job is to translate the English sentence into Hebrew.
Input: This looks like a dis-org chart, and yet, out of this community, but using these tools, they can now create something together.
Output: | זה נראה כמו תרשים של אי-ארגון, ועדיין מתוך הקהילה הזו, ובאמצעות הכלים האלה, הם יכולים ליצור משהו ביחד. | 3 | NIv2 | task1221_ted_translation_en_he | zs_opt | [
-0.02626974694430828,
0.5780448913574219,
-0.14863669872283936,
-0.00431087939068675,
0.17886705696582794,
-0.5302234888076782,
0.33301806449890137,
0.16696655750274658,
0.6755015254020691,
0.5215423107147217,
-0.37349721789360046,
-0.05908801406621933,
-0.49888095259666443,
-0.28539121150... |
Given the task definition and input, reply with output. You will be given three sentences. Read them, then identify a noun phrase (person, place, or thing) or event that is shared between all three sentences. As the output, write the span of the text corresponding to that phrase in each sentence. Keep the order of the ... | 1: kill and injure 2: Wednesday 's attack 3: the Bardo Museum attack | 5 | NIv2 | task281_points_of_correspondence | zs_opt | [
0.6149590015411377,
0.05563812702894211,
-0.40919965505599976,
0.1795952022075653,
-0.02846839278936386,
0.003871522843837738,
0.8996520638465881,
0.3898393213748932,
-0.11394507437944412,
0.8749605417251587,
-0.4639511704444885,
0.6453951597213745,
-0.3433982729911804,
-0.3844694793224334... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Galician.
One example is below.
Q: ويوجد أساسا مرجل دوار.
A: É basicamente un caldeiro que rota.
Rationale: The Arabic sentence is correctly translated into Galician, because the meaning is preserved.
Q: أحجام الفصول الدراسية أصغر من ... | Os tamaños das clases son menores ca en moitos países. | 9 | NIv2 | task1105_ted_translation_ar_gl | fs_opt | [
-0.5379221439361572,
0.28442737460136414,
0.12045492231845856,
-0.9949841499328613,
0.038435906171798706,
-0.09843088686466217,
0.6845803260803223,
-0.2554785907268524,
-0.3924972414970398,
-0.30233126878738403,
-0.27953237295150757,
-0.17247815430164337,
-0.9699239134788513,
0.50483298301... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.