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 |
|---|---|---|---|---|---|---|
Turn the given fact into a question by a simple rearrangement of words. This typically involves replacing some part of the given fact with a WH word. For example, replacing the subject of the provided fact with the word "what" can form a valid question. Don't be creative! You just need to rearrange the words to turn th... | What is essential for life on earth?
| 3 | NIv2 | task040_qasc_question_generation | fs_opt | [
0.7407987117767334,
0.8880934715270996,
0.08987648785114288,
0.03834253549575806,
-0.43426012992858887,
-1.2339059114456177,
0.0765581876039505,
1.255595326423645,
-0.11295848339796066,
-0.4800903797149658,
-0.8483297824859619,
-0.1992993801832199,
-0.4219563603401184,
-0.21307265758514404... |
Teacher: 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 find all elements of A from the ith element to the jth element, reverse the order in which they occur, and then concatenate them to output the resultant string. i and j will be non-negative, and will always ... | 52971925m | 2 | NIv2 | task101_reverse_and_concatenate_all_elements_from_index_i_to_j | fs_opt | [
0.3642048239707947,
-0.6689586043357849,
-0.4230557382106781,
-0.7942303419113159,
0.16816353797912598,
-0.6912840008735657,
0.5352889895439148,
0.44655585289001465,
-1.0911476612091064,
0.008624796755611897,
-0.9603621959686279,
-0.24392053484916687,
-0.18073220551013947,
-0.1062327623367... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.
Como dijo un preso de una UGC, "" No somos torturados aquí, salvo psicológicamente "". | آنطور که یک زندانی در CMU می گفت ، "ما در اینجا شکنجه نمی شویم ، مگر به صورت روانی." | 0 | NIv2 | task1103_ted_translation_es_fa | zs_opt | [
-0.3089296221733093,
0.4180762767791748,
-0.29206418991088867,
-0.9218512177467346,
-0.4896342158317566,
-1.3307714462280273,
0.42394429445266724,
0.5323818922042847,
0.13685661554336548,
0.25136417150497437,
-0.6635416746139526,
-0.06639531999826431,
-0.22808419167995453,
0.66519367694854... |
Given a sentence in the Japanese, provide an equivalent translation in Thai that retains the same meaning through the translation. In translation, keep numbers as it is.
Ex Input:
彼は、大統領選挙戦の間、9月6日に重病になった。
Ex Output:
เขามีอาการป่วยอย่างรุนแรงเมื่อวันที่6กันยายน ในระหว่างการหาเสียงเลือกตั้งเป็นประธานาธิบดี
Ex Input:
... | หลังจากนั้นไม่นาน Bell ก็ไปถึง One-day century และปิดอินนิ่งไปด้วยคะแนน 126 โดยไม่เอ้าท์
| 1 | NIv2 | task1127_alt_ja_th_translation | fs_opt | [
0.08076221495866776,
-0.2919366955757141,
-0.2926831841468811,
-0.07956567406654358,
-0.38308918476104736,
-0.7698819041252136,
0.5276615619659424,
0.42034077644348145,
-0.3200241029262543,
-0.166887104511261,
-0.8102124929428101,
0.9858323335647583,
-0.04760648310184479,
0.912321865558624... |
You are given a math word problem and you are supposed to make use of mathematical concepts like probability, combinatorics, linear equations, sequences/series, or simple operators like addition, subtraction, division, or multiplication to answer the given question. Choose the best option from the 5 given options and r... | Option A
| 1 | NIv2 | task750_aqua_multiple_choice_answering | fs_opt | [
0.8445194959640503,
-0.13148453831672668,
-0.7753086090087891,
0.2722538709640503,
0.45957812666893005,
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0.4698813557624817,
0.9407327175140381,
-0.10781246423721313,
0.013638299889862537,
-0.6946722269058228,
-0.0032986043952405453,
-0.4774520993232727,
-0.468766897916... |
Generate an overlapping word between the given two sentences. When you find the overlapping words, they don't have to match exactly, e.g., "survival" and "survive" are valid overlapping words. Little words like "the" or "of" don't count! You must generate significant words which are not the stop words.
Example input: ... | haze | 3 | NIv2 | task039_qasc_find_overlapping_words | fs_opt | [
-0.017697865143418312,
0.7173463106155396,
0.29215943813323975,
-0.3474072515964508,
0.10367810726165771,
-1.2152814865112305,
0.4903738498687744,
0.35011306405067444,
-0.38895976543426514,
-0.12349773198366165,
-1.0566346645355225,
-0.6254929304122925,
-0.7809717655181885,
0.1353509426116... |
Detailed Instructions: 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.
See one example below:
Problem: Twenty-year-old Will Hunting of South Boston is a self-taught, ... | Answer: creates trouble by stealing wine and countering people | 4 | NIv2 | task194_duorc_answer_generation | fs_opt | [
0.3625238537788391,
0.30898475646972656,
-0.2909446656703949,
-0.33215492963790894,
-0.09004206955432892,
-0.09236869215965271,
0.8406388759613037,
1.4611690044403076,
0.08414757996797562,
-0.12231593579053879,
0.3544372320175171,
0.5031272768974304,
-0.2762684226036072,
0.0034188549034297... |
Teacher:You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that particular part. Your labels can be one among the following: 'No emotion', ... | No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion | 6 | NIv2 | task1532_daily_dialog_emotion_classification | zs_opt | [
-0.6760647296905518,
0.0085583021864295,
-0.15643593668937683,
-0.03430798649787903,
-0.24645918607711792,
-0.6933228373527527,
0.5408532619476318,
0.4771166145801544,
0.13950815796852112,
0.33307284116744995,
-0.09093104302883148,
0.35281726717948914,
-0.9136534929275513,
-0.2168395966291... |
Generate an appropriate title for the given text. The generated title must be short and include the main topic of the text. The preferred titles are under fifteen words.
--------
Question: The European Union has said "sufficient progress" has to be made on the Irish border before negotiations on the UK and EU's future ... | Stopping the rot: Meet the waste warriors
| 7 | NIv2 | task1356_xlsum_title_generation | fs_opt | [
0.38962239027023315,
0.27851420640945435,
-0.19050610065460205,
-0.2642859220504761,
0.6876278519630432,
0.4092510938644409,
-0.08388102054595947,
0.47392538189888,
-0.40348920226097107,
0.378019243478775,
0.5121345520019531,
0.6133254766464233,
-0.30298060178756714,
0.6149260997772217,
... |
Teacher:In this task, You are given an open-domain question that can be answered based on factual information. Your task is to provide \*short\* answer (in a few words only) for the given question. The short answer can be one or more entities or it can also be boolean \*yes\* or \*no\*.
Teacher: Now, understand the pro... | United States | 6 | NIv2 | task582_naturalquestion_answer_generation | zs_opt | [
-0.5431402325630188,
0.5300462245941162,
-0.3413355350494385,
-0.31073641777038574,
-0.6054633259773254,
-0.1588934063911438,
0.673446774482727,
0.6641939282417297,
-0.35870957374572754,
-0.6328948140144348,
-0.7129814624786377,
1.0405242443084717,
-0.5528358817100525,
0.015391893684864044... |
Given the task definition and input, reply with output. Given a sentence in Chinese, provide an equivalent paraphrased version from the original that retains the same meaning.
克里斯伊根（尼克史密斯）与他的家人在夏日湾安顿下来，他和邓肯很快成为朋友并陷入各种危机。
| 尼克史密斯（克里斯伊根）与他的家人在夏日湾定居，他和邓肯很快成为朋友并陷入各种各样的伤害。 | 5 | NIv2 | task775_pawsx_chinese_text_modification | zs_opt | [
0.5498313307762146,
0.8304070234298706,
-0.8113939166069031,
-0.7957292795181274,
-0.4972957968711853,
-0.03887765854597092,
0.44425636529922485,
-0.3214198052883148,
0.41085168719291687,
0.07183162868022919,
0.3441898226737976,
0.35122624039649963,
-0.5100194215774536,
-0.5187687277793884... |
In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to write the character's motivation by doing a specific job, which is given in the sentence. Y... | None | 3 | NIv2 | task294_storycommonsense_motiv_text_generation | fs_opt | [
-0.3477191925048828,
0.5766305923461914,
-0.2492368519306183,
-0.11209709942340851,
-0.07079912722110748,
-0.09260295331478119,
0.8547609448432922,
0.371324360370636,
0.38366860151290894,
-0.07925190031528473,
-0.2826772630214691,
-0.3074520230293274,
-0.6826692819595337,
-0.13186776638031... |
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 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 | 0 | NIv2 | task379_agnews_topic_classification | fs_opt | [
-0.23115229606628418,
0.43334460258483887,
-0.2382623553276062,
-0.06545399129390717,
-0.04067269340157509,
-0.04857902228832245,
-0.26740241050720215,
0.6105136275291443,
-0.5620889663696289,
0.4114396572113037,
-0.6270061731338501,
0.12158414721488953,
-0.2806069850921631,
-0.16868710517... |
In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
Q: The integration of ideas, or smaller cultures into a larger culture is called?, Context: The American people are mostly multi-ethnic descendants of various culturally distinct immigrant groups, m... | assimilation | 4 | NIv2 | task1295_adversarial_qa_question_answering | zs_opt | [
0.60755854845047,
0.5844559669494629,
0.4110673666000366,
0.6168491840362549,
-0.3076733648777008,
0.2997932434082031,
-0.0013870303519070148,
0.6222804188728333,
0.20918604731559753,
-0.31855466961860657,
-0.0776648223400116,
-0.1364365518093109,
-0.8769260048866272,
0.11964912712574005,
... |
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 serve as the building ... | run right thrice and turn around right thrice | 4 | NIv2 | task129_scan_long_text_generation_action_command_short | zs_opt | [
0.387942373752594,
1.069256067276001,
-0.2853013277053833,
-0.038811035454273224,
-0.21651753783226013,
0.3669333755970001,
-0.05672015994787216,
0.7858802080154419,
-0.30621856451034546,
-0.257276713848114,
-0.8524340987205505,
-0.11522328853607178,
-0.6741297245025635,
-0.053343221545219... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a question. You need to detect which category better describes the question. A question belongs to the description category if it asks about description and abstract concepts. Entity qu... | Quantity | 0 | NIv2 | task1289_trec_classification | fs_opt | [
-0.35078585147857666,
0.31105712056159973,
0.07836082577705383,
-0.3558879494667053,
-0.3049962520599365,
-0.7437319159507751,
0.9535495042800903,
-0.16946572065353394,
-0.06695173680782318,
-0.3489146828651428,
-0.5755513906478882,
-0.07998328655958176,
-0.41534996032714844,
0.44614079594... |
Given a question, generate a paraphrase of that question wihout changing the meaning of it. Your answer should reword the given sentence, but not add information to it or remove information from it. The answer to your question should be the same as the answer to the original question.
Q: Question: what was adolf's fath... | what was adolf hitler's fathers profession? | 4 | NIv2 | task442_com_qa_paraphrase_question_generation | zs_opt | [
-0.2355147749185562,
1.0928277969360352,
0.24915234744548798,
-1.2003123760223389,
-1.2764666080474854,
0.6865241527557373,
1.6731529235839844,
0.7447401881217957,
0.8344208002090454,
-0.761319100856781,
-0.6270383596420288,
-0.09068617224693298,
-1.0820088386535645,
0.07977491617202759,
... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Farsi.
One example: E eu continuo a pensar que o transporte é o centro deste universo.
Solution is here: من همچنان معتقدم که حمل و نقل کانون مشکلات جهان است.
Explanation: The Portugese sentence is correctly translated into Far... | ک.ا.: خوب چی کار کردی ؟ چطوری ساختیش ؟ | 6 | NIv2 | task1282_ted_translation_pt_fa | fs_opt | [
-0.2581574320793152,
0.6750779151916504,
0.3874641954898834,
0.2915468215942383,
-0.5834076404571533,
-0.10400775074958801,
0.395582377910614,
0.8422194719314575,
0.04321491718292236,
0.18146230280399323,
-1.275639533996582,
0.35726940631866455,
-0.26846450567245483,
0.44407418370246887,
... |
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.
See one example below:
Problem: Female snakes incubate eggs inside of their bodies, giving birth to live young of ____ or more.
... | three | 4 | NIv2 | task1359_numer_sense_answer_generation | fs_opt | [
-0.5268402099609375,
0.5709341764450073,
0.015746083110570908,
-0.4020533859729767,
-0.18940754234790802,
-0.13036543130874634,
0.4389183521270752,
0.4981946349143982,
-0.18364548683166504,
0.053529299795627594,
0.5172892808914185,
0.34371671080589294,
-0.7924033403396606,
-0.1606576442718... |
instruction:
In this task, you're given a context, a question, and three options. Your task is to find the correct answer to the question using the given context and options. Also, you may need to use commonsense reasoning about social situations to answer the questions. Classify your answers into 'A', 'B', and 'C'.
qu... | B
| 9 | NIv2 | task580_socialiqa_answer_generation | fs_opt | [
0.050174836069345474,
0.25629788637161255,
-0.31170547008514404,
-0.31954148411750793,
-0.5746415853500366,
-0.6918980479240417,
0.20818869769573212,
0.4004875421524048,
0.009794190526008606,
-0.04581404849886894,
-0.5569375157356262,
-0.08801234513521194,
0.5311734676361084,
0.02945762872... |
Detailed Instructions: 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 concatenate all elements of A from the ith element to the jth element, and print the resultant string. i and j will be non-negative, and will always have a value less than the length of A. i wil... | 5965G7673 | 4 | NIv2 | task100_concatenate_all_elements_from_index_i_to_j | fs_opt | [
0.4017534852027893,
0.11353874206542969,
-0.7715905904769897,
-0.48317909240722656,
-0.43356674909591675,
-0.6588776707649231,
0.17694127559661865,
0.09364621341228485,
-0.4779427647590637,
0.1105397641658783,
-1.0057108402252197,
-0.00202070246450603,
-0.1827152818441391,
0.00574149470776... |
In this task, you have to identify the named entities (NER) which are the ingredients required given its directions. Named entities are the names of the items without their quantity.
[EX Q]: Mix and bake in 2 small loaf pans at 350° until toothpick comes out clean.
[EX A]: flour, sugar, eggs, oil, water, vanilla, rais... | eating apples, sugar, butter, cream, flour, butter, range medium
| 6 | NIv2 | task571_recipe_nlg_ner_generation | fs_opt | [
0.4454372525215149,
0.09014129638671875,
-1.1369292736053467,
0.14003542065620422,
0.6157605648040771,
0.19787555932998657,
1.3810126781463623,
0.8741834163665771,
-0.37863093614578247,
0.3363879323005676,
0.5821325778961182,
0.003022178541868925,
-0.6027978658676147,
0.356790155172348,
... |
Teacher: In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by 4, if the element is odd you should multiply by 4 then add 2. The output should be a list of numbers that is the result of applying that logic to the input list. You should not round an... | [46, 166, -58, 16.0, -58, 20.0] | 2 | NIv2 | task368_synthetic_even_or_odd_calculation | fs_opt | [
-0.3352372944355011,
0.446146160364151,
-0.15232279896736145,
-0.3119417726993561,
0.1596180498600006,
-0.45577627420425415,
0.9570852518081665,
0.4749046564102173,
-0.30794206261634827,
0.2293870598077774,
-0.5487061738967896,
-0.4225902855396271,
-0.6651584506034851,
-0.4737653136253357,... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
[EX Q]: Algunos todavía dudan de que tenemos la voluntad de actuar, y digo, la voluntad de actuar es en sí misma un recurso renovable.
[EX A]: Niektórzy nadal wątpią, że mamy wolę działania, ale według mnie, wola działania ... | Jest to doskonały, stworzony przez naturę, kąt prosty.
| 6 | NIv2 | task1102_ted_translation_es_pl | fs_opt | [
-1.1342790126800537,
1.2233108282089233,
-0.48781630396842957,
-0.33188170194625854,
-0.6839815378189087,
-0.7712181806564331,
0.8257518410682678,
-0.0070906043983995914,
-0.2971729040145874,
-0.22067846357822418,
0.17371690273284912,
0.23570704460144043,
-0.6398643255233765,
0.01786550693... |
Instructions: In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.
Input: Sentence1: 'a baseball player is getting ready to pitch a ball', Sentence2: 'a photograph of a person sitting on a toilet seat'. Is the frequency of the word 'baseball' in two sentences eq... | No | 3 | NIv2 | task159_check_frequency_of_words_in_sentence_pair | zs_opt | [
-0.19277095794677734,
0.21243134140968323,
-1.0060805082321167,
0.8005402088165283,
0.4738779067993164,
-0.20652323961257935,
0.6263338923454285,
0.7254196405410767,
0.30052486062049866,
-0.1591871827840805,
-0.2891026735305786,
0.22774678468704224,
0.2837486267089844,
-0.2191789746284485,... |
Teacher:A text is given in Marathi. Translate it from the Marathi language to the Urdu language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? Solve this instance: भारतीय क्रीडा प्राधिकरण ( साई) आणि जपानचे सुकुबा विद्यापीठ यांच्यात शैक्षणिक आदान प्रदान ... | اسپورٹس اتھارٹی آف انڈیا ( ایس اے آئی ) بھارت اور یونیورسٹی آف سکووا ، جاپان کے مابین مفاہمتی عرضداشت ، جس کا تعلق تعلیمی تبادلوں اور کھیل کود کے شعبے میں تعاون سے ہے ۔ | 6 | NIv2 | task989_pib_translation_marathi_urdu | zs_opt | [
0.23269470036029816,
0.36471307277679443,
-0.012603037059307098,
-0.6213411688804626,
0.07623196393251419,
-0.10419628024101257,
0.2786017060279846,
-0.0009788803290575743,
0.029672713950276375,
-0.6003828048706055,
0.005786757450550795,
-0.3178771734237671,
0.002514720894396305,
-0.226367... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by two, if the element is odd you should multiply by three then add one. The output should be a list of integers that is... | [208, 79, 4, 83, 31] | 1 | NIv2 | task206_collatz_conjecture | zs_opt | [
-0.02872977964580059,
0.23681175708770752,
-0.037766411900520325,
-0.3465331792831421,
0.12451818585395813,
0.16591426730155945,
1.037503957748413,
-0.05624601989984512,
0.20332549512386322,
0.17015378177165985,
-0.5971841216087341,
-0.46994489431381226,
-0.44263923168182373,
-0.3699761033... |
Q: In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.
OBJECTIVE To test the validity of age at menarche self-reported in adulthood and examine whether socioeconomic position, education, experience of gynaecological events and psy... | Validity of age at menarche self-reported in adulthood. | 7 | NIv2 | task1586_scifact_title_generation | zs_opt | [
0.5142078399658203,
0.7239986658096313,
-0.36310911178588867,
-0.9326640367507935,
-0.14853298664093018,
-0.15674033761024475,
0.7790292501449585,
0.9631481170654297,
0.5044547319412231,
0.4079546630382538,
-0.5073552131652832,
0.9690828323364258,
-1.2180395126342773,
0.2163594365119934,
... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in Italian, generate a new Italian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have ... | Una volpe può possedere nell'arte di baciare. | 1 | NIv2 | task408_mickey_it_sentence_perturbation_generation | zs_opt | [
-0.020426897332072258,
0.9097650051116943,
-0.19908802211284637,
0.25688910484313965,
-0.005938563030213118,
-0.4628497362136841,
0.38313978910446167,
1.139709711074829,
-0.23532772064208984,
-0.5038361549377441,
-0.8069339990615845,
-0.015458965674042702,
-0.11296774446964264,
0.092673555... |
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: personal or non-personal depending on the topic... | non-personal
| 5 | NIv2 | task1490_bengali_personal_hate_speech_binary_classification | fs_opt | [
-0.18891438841819763,
-0.19880370795726776,
0.2216683030128479,
0.37432605028152466,
-0.11795665323734283,
-0.44270598888397217,
0.44245412945747375,
0.4892442226409912,
-0.6181927919387817,
0.33220869302749634,
-0.3883515000343323,
-0.6561250686645508,
0.1142519861459732,
-0.3199897706508... |
Given a sentence in the Japanese and Indonesian(Bahasa variant) language. Your task is check if the Bahasa Indonesia sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Example: Japanese: 詳細は昨日UTC17時30分、英国議会でイギリスのルス・ケリー運輸大臣によって伝えられた。
Bahasa Indo... | Solution: Yes | 5 | NIv2 | task1117_alt_ja_id_answer_generation | fs_opt | [
-0.5408355593681335,
0.04445737972855568,
0.06448156386613846,
0.22686225175857544,
-0.05704937130212784,
-0.01728067360818386,
0.16642186045646667,
-0.49469971656799316,
-0.23551620543003082,
-0.3548619747161865,
0.22131049633026123,
0.9865498542785645,
-0.32361775636672974,
0.83289420604... |
Detailed Instructions: In this task, you're expected to write answers to questions involving multiple references to the same entity. The answer to the question should be unambiguous and a phrase in the paragraph. Most questions can have only one correct answer.
Problem:Passage: Conversely, another rock genre, Britpop, ... | Justine Frischmann. | 8 | NIv2 | task002_quoref_answer_generation | zs_opt | [
0.7976353168487549,
0.43140801787376404,
-0.320904016494751,
-0.22015756368637085,
0.26151731610298157,
-0.894091010093689,
0.4511696696281433,
0.43019044399261475,
-0.014181826263666153,
0.6189180016517639,
-0.12714740633964539,
1.2550625801086426,
-0.5684415102005005,
-0.1529861539602279... |
In this task, you will be shown a conversation and a question. You need to answer the question and choose the correct option based on the conversation. "W" and "M" in the conversations stand for "woman" and "man".
One example: M: I am considering dropping my dancing class. I am not making any progress. W: If I were you... | (C) it costs less money | 6 | NIv2 | task247_dream_answer_generation | fs_opt | [
0.03816935047507286,
0.10789437592029572,
-0.5715317726135254,
-0.6690608263015747,
0.36710402369499207,
0.2856215238571167,
0.2674211263656616,
0.62431800365448,
0.060425080358982086,
-0.045264147222042084,
-0.636441171169281,
0.10181017220020294,
0.32485052943229675,
-0.21014264225959778... |
Teacher: In this task, you are given an input i,A where i is an integer and A is an array. You need to find every ith element of A starting with the 1st element.
Teacher: Now, understand the problem? If you are still confused, see the following example:
3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']
Solution: ... | a, 7487, s, 1319 | 2 | NIv2 | task1542_every_ith_element_from_starting | fs_opt | [
0.44441425800323486,
-0.08322177827358246,
-0.29426515102386475,
-0.8622548580169678,
-0.08352948725223541,
-0.12481255829334259,
0.25366806983947754,
-0.1942620873451233,
0.03697472810745239,
-0.38087406754493713,
-0.6807765960693359,
-0.3462789058685303,
-0.1784898340702057,
-0.196187630... |
Part 1. Definition
In this task you will be given a question and a passage. You need to determine if the answer to the question is contained in the passage. If the answer can be found in the passage you should output 'True'. If the answer cannot be found in the passage you should output 'False'.
Part 2. Example
Passage... | False | 7 | NIv2 | task520_aquamuse_answer_given_in_passage | fs_opt | [
0.25506746768951416,
0.2618483901023865,
-0.2279689610004425,
-0.1776336282491684,
-0.11463713645935059,
0.9211064577102661,
0.6579139232635498,
0.5263294577598572,
0.003586576320230961,
0.689275860786438,
-0.1635199934244156,
0.07413182407617569,
-0.5242292881011963,
-0.11447280645370483,... |
Instructions: 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.
Input: Is OTHER wrong in the post ? POST : Ok so some background context before we ge... | yes | 3 | NIv2 | task502_scruples_anecdotes_whoiswrong_verification | zs_opt | [
0.35423368215560913,
0.3069220781326294,
-0.2336791604757309,
0.24564296007156372,
0.1826016753911972,
-0.39644503593444824,
0.6107789278030396,
0.7861135601997375,
0.128195121884346,
-0.21151405572891235,
-0.3016279935836792,
-0.1383170783519745,
-0.8839342594146729,
0.2804965376853943,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a sentence in the English and Hindi language. Your task is check if the Hindi sentence is translation of English. if the translation is correct than generate label "Yes", ... | No | 0 | NIv2 | task434_alt_en_hi_answer_generation | fs_opt | [
-0.8705796599388123,
0.1633521318435669,
0.47155189514160156,
0.4313545227050781,
0.17572075128555298,
-0.4580785036087036,
0.7339769601821899,
0.689489483833313,
-0.3112514615058899,
-0.33895063400268555,
0.3082547187805176,
0.7039396166801453,
-0.019970068708062172,
0.5599222183227539,
... |
Definition: In this task, you need to answer the given multiple-choice question on the gain. Gain is the value by which to multiply the input. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Input: Problem: a circle graph shows how the megatech corporation allocates its research and development budget : 14 % mi... | c | 2 | NIv2 | task1419_mathqa_gain | zs_opt | [
-0.14638200402259827,
-0.09575381875038147,
-0.12432282418012619,
-0.3812418282032013,
-0.26405131816864014,
-0.25585001707077026,
0.42395591735839844,
0.35420873761177063,
0.010078620165586472,
-0.12111875414848328,
-0.9755825996398926,
-0.23117348551750183,
-0.35939693450927734,
0.075534... |
Part 1. Definition
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 provide... | weakener | 7 | NIv2 | task936_defeasible_nli_snli_classification | fs_opt | [
-0.022151149809360504,
0.1022619903087616,
-0.4565350115299225,
0.1806793212890625,
-0.05909693241119385,
-0.7035408616065979,
0.546481728553772,
1.3834127187728882,
0.46276772022247314,
-0.429210901260376,
-1.3936954736709595,
0.1756666898727417,
-0.6243877410888672,
0.029735008254647255,... |
Given a review text from amazon and its polarity (either positive or negative). Generate answer "True" if given sentence and its polarity match, otherwise generate answer "False". A review is considered positive if the reviewer is satisfied with the product. Otherwise, it is considered negative.
Review: This product w... | False | 0 | NIv2 | task494_review_polarity_answer_generation | zs_opt | [
-0.6372230052947998,
0.29104724526405334,
-0.2213333249092102,
0.03561478108167648,
0.19666025042533875,
-1.1794816255569458,
0.8536382913589478,
0.6540175080299377,
-0.022263329476118088,
0.3152230381965637,
-0.6254557371139526,
0.031763285398483276,
-0.23894059658050537,
-0.4471934735774... |
Q: You are given a statement written in Gujarati. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: રાજથાળી (તા. વાંકાનેર) <MASK> દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્યના સૌરાષ્ટ્ર વિસ્તારમાં આવેલા ... | ભારત | 7 | NIv2 | task946_wiki_cloze_gu_multiple_choice_question_answering | zs_opt | [
0.0044166469015181065,
1.1099903583526611,
0.4576416611671448,
-0.1964767575263977,
-0.1874178946018219,
0.10727305710315704,
0.13508132100105286,
1.6836763620376587,
0.0464908629655838,
-0.4106839895248413,
-0.5299948453903198,
-0.037943318486213684,
-0.25652074813842773,
-0.4839186668395... |
In this task you are expected to fix an SQL query based on feedback. You will be given an SQL statement and an English description with what is wrong about that SQL statement. You must correct the SQL statement based off of the feedback. An SQL query works by selecting data from a table where certain conditions apply. ... | SELECT max(Silver) , min(Silver) FROM club_rank
| 3 | NIv2 | task076_splash_correcting_sql_mistake | fs_opt | [
0.19350412487983704,
0.6762585043907166,
-1.5020771026611328,
0.5400928258895874,
-0.28292426466941833,
-0.39467862248420715,
0.6684601306915283,
1.0468841791152954,
-0.5271642208099365,
0.4833518862724304,
0.140877366065979,
0.15400871634483337,
-0.046818580478429794,
0.3008582592010498,
... |
In this task you are given a small conversation between two persons and 4 options on how the conversation should continue. Your job is to choose the most reasonable option. The conversation and the options are separated by a newline character. Each dialogue in the conversation are separated by a comma. F and M indicate... | D | 0 | NIv2 | task611_mutual_multi_turn_dialogue | zs_opt | [
0.12358179688453674,
0.19993892312049866,
0.13586917519569397,
-0.5275359153747559,
0.10603325814008713,
0.2864964008331299,
0.12421457469463348,
0.38623467087745667,
-0.2392478883266449,
-0.06527454406023026,
-0.6457950472831726,
-0.029631853103637695,
0.5768345594406128,
-0.2484529912471... |
Definition: In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that seamlessly connects with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick... | a | 2 | NIv2 | task213_rocstories_correct_ending_classification | zs_opt | [
-0.17563726007938385,
0.07127708196640015,
0.2982017397880554,
-0.03956087306141853,
0.026977984234690666,
0.5473377108573914,
0.474972128868103,
0.6398345828056335,
0.31248003244400024,
-0.3406566381454468,
-0.6744850873947144,
-0.3578203320503235,
0.008977081626653671,
-0.040041439235210... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given an article and an answer. Your task is to generate the question for the answer based on the given article.
Article: Contrary to most people' s idea, the air in Coastal cities can be far from fresh and healthful, sai... | What is the main idea of the passage? | 1 | NIv2 | task311_race_question_generation | zs_opt | [
-0.08381727337837219,
0.20992758870124817,
-0.7578983902931213,
-1.072657585144043,
0.8179739713668823,
-0.7709595561027527,
0.3540232479572296,
0.582963228225708,
-1.0118786096572876,
0.3543664813041687,
-0.08436782658100128,
0.5395826101303101,
-0.8372389078140259,
-0.09782819449901581,
... |
Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: (1) when the individual's belief matches reality, (2) when the individual's belief does not match reality, (3) is when an individual has a false belief about another in... | blue_container | 3 | NIv2 | task151_tomqa_find_location_easy_clean | fs_opt | [
0.3182756304740906,
0.17126348614692688,
-0.26844602823257446,
0.11421631276607513,
-0.5825800895690918,
-0.4524351954460144,
0.3270512521266937,
0.4933176338672638,
0.0880124568939209,
-0.13600043952465057,
-0.10033556073904037,
0.5350990295410156,
-0.018665669485926628,
0.240255773067474... |
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.
FCedAQnAYtuPb, qObuaAQnAYsFck
| AQnAY | 5 | NIv2 | task600_find_the_longest_common_substring_in_two_strings | zs_opt | [
0.049052584916353226,
0.9973219037055969,
-0.24496355652809143,
-0.3845876157283783,
0.1479259729385376,
-0.20486240088939667,
-0.009325501509010792,
-0.6834242343902588,
0.1172746792435646,
-0.05551707744598389,
-0.5870962142944336,
-0.3534657955169678,
-0.4668998122215271,
-0.08127900958... |
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 Gujarati. Translate it from the Gujarati language to the Panjabi language. The translation must not omit or add information to the original sentence.
કિલોમીટર લાંબો કલ્યાણથી તલોજા... | ਪ੍ਰਧਾਨ ਮੰਤਰੀ ਸ਼੍ਰੀ ਨਰੇਂਦਰ ਮੋਦੀ ਦੀ ਅਗਵਾਈ ਵਿੱਚ ਕੇਂਦਰੀ ਮੰਤਰੀ ਮੰਡਲ ਨੇ ਅਧਾਰ ਕਟਾਅ ਅਤੇ ਲਾਭ ਤਬਦੀਲੀ ਦੀ ਰੋਕਥਾਮ ਲਈ ਕਰ ਸੰਧੀ ਸਬੰਧੀ ਕਦਮਾਂ ਦੇ ਲਾਗੂ ਕਰਨ ਲਈ ਮਲਟੀਲੇਟਰਲ ਕਨਵੈਨਸ਼ਨ (ਐੱਮਐੱਲਆਈ) ਦੀ ਪੁਸ਼ਟੀ ਕਰਨ ਦੀ ਪ੍ਰਵਾਨਗੀ ਦੇ ਦਿੱਤੀ ਹੈ। ਪ੍ਰਭਾਵ: | 0 | NIv2 | task1043_pib_translation_gujarati_punjabi | fs_opt | [
-0.295364648103714,
0.2563145160675049,
-0.5105494260787964,
0.24578768014907837,
-0.33739209175109863,
-0.04722774401307106,
0.14207905530929565,
-0.0096335019916296,
0.08441921323537827,
-0.18080481886863708,
-0.352651447057724,
-0.21537160873413086,
0.2773681581020355,
0.725533962249755... |
Detailed Instructions: Given a sentence in Spanish, generate a new Spanish sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasona... | Es probable que recuerde un juego de mesa en una tienda de la biblioteca. | 9 | NIv2 | task417_mickey_es_sentence_perturbation_generation | zs_opt | [
0.000917462632060051,
0.3879512846469879,
-0.6202289462089539,
-0.27372097969055176,
0.03537600487470627,
-0.4403543472290039,
0.476760596036911,
0.83027184009552,
0.30595219135284424,
-1.0910840034484863,
-0.0819932222366333,
0.27366551756858826,
-0.5378159284591675,
-0.0454106330871582,
... |
Categorize the following sentence into one of the five different emotions: anger, confusion, joy, sadness and neutral.
Example input: I KILL YOU SCUM.
Example output: anger
Example explanation: The sentence expresses the emotion - anger by mentioning about killing someone. So, the output is anger.
Q: I stopped worryin... | sadness | 3 | NIv2 | task889_goemotions_classification | fs_opt | [
-0.19694304466247559,
0.18937036395072937,
0.4910700023174286,
-0.1938638538122177,
0.1275656521320343,
-0.5543006658554077,
0.008594542741775513,
0.6513385772705078,
0.3122255802154541,
0.9881021976470947,
0.06227973476052284,
-0.3607598543167114,
-0.8621098399162292,
0.001655912725254893... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
Q: Poniesienie porażki nie powinno cię powstrzymywać od dalszego przyczyniania się do rozwoju nauki.
A: O facto é que temos falhanço, e isso não nos deve impedir de levar a ciência adiante.
****
Q: I wtedy ten potworny po... | Gosto mesmo de folhear as páginas do Antigo Testamento. "" O que quer que seja, sabem do tipo de coisa de que estou a falar — pessoas que se sentem atraídas pelo lado ritualista, pelo lado moralista, de comunhão, da religião, mas que não suportam a doutrina.
****
| 4 | NIv2 | task1264_ted_translation_pl_pt | fs_opt | [
-0.654975175857544,
0.7620306611061096,
-0.040698256343603134,
-0.6644338965415955,
-0.8115816116333008,
-0.5528784394264221,
0.6393600106239319,
0.0662359744310379,
0.04903312772512436,
-0.10164947807788849,
-0.8048536777496338,
0.3754078149795532,
-0.6744083166122437,
0.671669065952301,
... |
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.
Ex Input:
Question: Is alloantigen-driven T cell death mediated by Fas lig... | no
| 1 | NIv2 | task846_pubmedqa_classification | fs_opt | [
0.23499158024787903,
0.2688579857349396,
0.023246675729751587,
0.699703574180603,
0.18463954329490662,
-0.8690827488899231,
0.7582545876502991,
0.5577045679092407,
-0.1318633258342743,
0.47815999388694763,
-0.7377195954322815,
-0.26946258544921875,
-0.3692062795162201,
0.38073670864105225,... |
Q: In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.
Telomerase-negative tumor cells use an alternative lengthening of telomeres (ALT) pathway that involves DNA recombination and repair to maintain their proliferative potential.... | De novo assembly of a PML nuclear subcompartment occurs through multiple pathways and induces telomere elongation. | 7 | NIv2 | task1586_scifact_title_generation | zs_opt | [
0.494246244430542,
0.6188915967941284,
-0.7594929337501526,
0.8062875270843506,
-0.11841562390327454,
-0.45515525341033936,
1.069557547569275,
0.3764154613018036,
0.39670559763908386,
0.9761391878128052,
-1.00467848777771,
0.39258038997650146,
-1.2069814205169678,
0.3547459840774536,
0.3... |
In this task, you are given dvd product reviews in German language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Example input: Endlich . Endlich erscheint Staffel 2 auf DVD. Habe ewig darauf gewartet. Die... | POS | 3 | NIv2 | task480_cls_german_dvd_classification | fs_opt | [
-0.291975200176239,
0.49489134550094604,
-0.4201325476169586,
-0.26224204897880554,
-0.1955508291721344,
0.11628703773021698,
1.394238829612732,
0.47917085886001587,
0.45819297432899475,
0.47843489050865173,
0.22983022034168243,
-0.1934414505958557,
0.0673111230134964,
-0.18160483241081238... |
TASK DEFINITION: In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g... | Sentence 1: The collector bought more items from PersonX than PersonY because _ had a large collection to choose from.
Sentence 2: The collector bought more items from PersonX than PersonY because _ had a small collection to choose from.
| 8 | NIv2 | task030_winogrande_full_person | fs_opt | [
0.6818915009498596,
0.43086934089660645,
-0.28671494126319885,
-0.29047369956970215,
0.35981446504592896,
-0.24220050871372223,
0.9662069082260132,
1.0346099138259888,
-0.4998094439506531,
-0.654537558555603,
-0.3616078495979309,
0.054645903408527374,
-0.799668550491333,
0.390034556388855,... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators... | for the date records of all rows , most of them fuzzily match to 25 october . | 1 | NIv2 | task110_logic2text_sentence_generation | zs_opt | [
0.3296116590499878,
-0.23822635412216187,
-0.32235187292099,
0.5292820930480957,
0.27822715044021606,
-0.34974077343940735,
0.34531450271606445,
0.6663433313369751,
-0.038484495133161545,
-0.18623794615268707,
-0.4699718654155731,
-0.345505952835083,
0.37141910195350647,
0.4784036874771118... |
Detailed Instructions: The provided text is in English, and we ask you to translate the text to the Croatian language. Please bear in mind the following guidelines while translating: 1) We want a natural translation, a formal form. 2) Use the symbols like '#@%$-+_=^&!*' as-is. *Include* the special characters as suited... | (Smijeh) Većinu svog vremena provodim radeći u mraku, navikla sam na to. | 9 | NIv2 | task1365_opustedtalks_translation | zs_opt | [
-0.43799591064453125,
0.8612468242645264,
-0.31416773796081543,
0.40478092432022095,
-0.09404955059289932,
-0.7899498343467712,
0.7417477369308472,
0.08028674870729446,
0.06437277793884277,
-0.29318153858184814,
-0.27309563755989075,
0.09168432652950287,
-0.5269930362701416,
0.171775728464... |
Given the task definition and input, reply with output. Based on the given question and tppic, give an answer. The answer is available on on the internet. The questions are mostly centered around a single named entity.
concept: Pete Rose question: what year did pete rose play?
| ['1968 Major League Baseball Season', '1971 Major League Baseball Season', '1969 Major League Baseball Season', '1963 Major League Baseball Season', '1966 Major League Baseball Season', '1967 Major League Baseball Season', '1970 Major League Baseball Season', '1972 Major League Baseball Season', '1964 Major League Base... | 5 | NIv2 | task1601_webquestions_answer_generation | zs_opt | [
-0.3918986916542053,
0.8463577032089233,
-0.5472366809844971,
0.4441317021846771,
0.023736465722322464,
-0.5263831615447998,
0.31014925241470337,
0.01854585111141205,
0.4329665005207062,
-0.3846771717071533,
-0.5160893797874451,
0.6450507044792175,
-0.350059449672699,
-0.5491324663162231,
... |
In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the correct sub... | False | 4 | NIv2 | task1187_politifact_classification | zs_opt | [
-0.2072088122367859,
0.8578046560287476,
-0.33226215839385986,
0.16564278304576874,
-0.557711124420166,
-0.28010934591293335,
1.0419235229492188,
-0.36728304624557495,
0.540105938911438,
0.09079356491565704,
-0.6785317659378052,
-0.38293224573135376,
-0.2718425989151001,
0.5221603512763977... |
Detailed Instructions: Given a sentence in German, generate a new German sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonabl... | Ein Glas Wasser liefern wir, wenn wir durstig sind. | 8 | NIv2 | task416_mickey_de_sentence_perturbation_generation | zs_opt | [
-0.5657926797866821,
1.130347490310669,
0.20704418420791626,
-0.7251980304718018,
-0.3759996294975281,
-0.27666401863098145,
0.9936108589172363,
0.6607239842414856,
0.4470141530036926,
-0.18097922205924988,
-0.27712735533714294,
-0.18860581517219543,
-1.3156054019927979,
0.1501901000738144... |
Q: In this task, you will be presented with a question having multiple possible answers in Polish language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Question: Gdzie kobieta przechowywałaby na swojej osobie bilet na pociąg?
Options: A ręka dyr... | E | 7 | NIv2 | task1140_xcsr_pl_commonsense_mc_classification | zs_opt | [
0.2034008949995041,
0.8348897695541382,
-0.8011043071746826,
0.41000401973724365,
0.009500309824943542,
-0.5856722593307495,
0.5973533391952515,
0.2257959097623825,
0.7943102121353149,
-0.29886189103126526,
0.16027948260307312,
0.6138242483139038,
0.5096050500869751,
-0.5600323677062988,
... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen before that sentence, or are likely to have happened before it. Does any of them directly cause it, or simply make it possible? You should write your answer in the form " A >causes/enables> B". Try to u... | Solution: I want to make a stew >Causes/Enables> I buy all the ingredients | 5 | NIv2 | task614_glucose_cause_event_detection | fs_opt | [
0.5706057548522949,
0.30754420161247253,
-0.3946215510368347,
-0.02057988941669464,
-0.17365384101867676,
-0.4739590287208557,
0.5749861001968384,
1.019031286239624,
-0.7066014409065247,
-0.01994074136018753,
-0.42965999245643616,
0.6285195350646973,
-0.3345625102519989,
-0.515174269676208... |
In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write an implausible POS tag to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. Here is the Alphabetical list of part-of-speech tags used in this task: CC... | NN
| 3 | NIv2 | task347_hybridqa_incorrect_answer_generation | fs_opt | [
0.7096306085586548,
1.0498535633087158,
-0.13839824497699738,
0.5909647941589355,
-0.1645013391971588,
-0.7146482467651367,
0.9710668325424194,
0.7126299142837524,
-0.2296740859746933,
0.23764820396900177,
-0.3528769314289093,
0.3361882269382477,
-0.5460909605026245,
-0.1597817838191986,
... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a text which is the body of a document and a title which is the title of the document. Here the title is present in the document and it is the entity which is referred in the document. The title might have some text ... | Yes | 1 | NIv2 | task630_dbpedia_14_classification | fs_opt | [
-0.8544335961341858,
0.48555707931518555,
0.6228950023651123,
-0.1759127527475357,
0.5212907791137695,
0.1314001828432083,
0.044984348118305206,
0.564639151096344,
-0.2710171639919281,
-0.16914141178131104,
-0.001360465306788683,
-0.08767551183700562,
-0.2904402017593384,
-0.18225669860839... |
In this task, you are given a sentence in the English language and your task is to convert it into the Swedish language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Q: The objections of the industry in this matter are certainly not without ... | Industrins invändningar är säkerligen inte ologiska på detta område. | 4 | NIv2 | task313_europarl_en_sv_translation | zs_opt | [
-0.20002055168151855,
1.025263786315918,
0.5762026309967041,
-0.5460294485092163,
0.29337286949157715,
-0.1190854012966156,
0.25579431653022766,
0.8579456806182861,
0.6333423256874084,
0.308236300945282,
-0.3319944441318512,
0.02114802412688732,
-0.06624012440443039,
-0.20041681826114655,
... |
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.
Q: しかし、キャラクター達は、「ステージで生き、またファンタジーの世界で生きている」と、彼は語った。
A: | Pero ang mga karakter "ay nabubuhay sa entablado at nabubuhay sa mundo ng pantasya," aniya. | 4 | NIv2 | task1118_alt_ja_fil_translation | zs_opt | [
0.3477320373058319,
0.40027862787246704,
-0.0022929213009774685,
-1.124212384223938,
0.3505971133708954,
-1.1267688274383545,
0.48001164197921753,
0.1100466176867485,
-0.4897603392601013,
-0.45147114992141724,
-0.40634453296661377,
0.4943239986896515,
-0.9948334693908691,
0.727108418941497... |
Detailed Instructions: Given a sentence in Bulgarian, generate a new Bulgarian 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 rea... | Можеш да използваш човек, за да посочиш какво е низпослал. | 9 | NIv2 | task415_mickey_bg_sentence_perturbation_generation | zs_opt | [
-0.0929807722568512,
0.8604351282119751,
0.38305002450942993,
-1.0301427841186523,
0.014680789783596992,
-0.6916528344154358,
1.372323989868164,
0.7005571722984314,
0.8198574185371399,
-0.05752265453338623,
-0.8868870735168457,
0.6031744480133057,
-0.6569749116897583,
0.5570231080055237,
... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Polish.
[EX Q]: نحن لدينا هذا التصور
[EX A]: Mamy wyobrażenia jak to,
[EX Q]: [60.2 مليار] لماذا أتحدث عن هذا ؟
[EX A]: [60,2 miliardów dolarów] Dlaczego tak jest?
[EX Q]: هذا مانع للصوت مصنوع بالبيت
[EX A]: | To domowej roboty tłumik.
| 6 | NIv2 | task1107_ted_translation_ar_pl | fs_opt | [
0.27953681349754333,
0.8809515237808228,
0.2897999882698059,
0.09711245447397232,
-0.33392202854156494,
-0.23877489566802979,
0.8793293833732605,
0.008832881227135658,
0.7311277389526367,
-0.3721613883972168,
-0.23289239406585693,
0.6507584452629089,
-0.8436830043792725,
-0.206487983465194... |
Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical condition, 11) military branch, 12) narrative location, 13) occupation, 14) ori... | residence | 4 | NIv2 | task1328_qa_zre_relation_generation_from_question | zs_opt | [
-0.3658030033111572,
0.11129318177700043,
-0.15099939703941345,
-0.1322559118270874,
0.17836183309555054,
-0.23675990104675293,
0.1628415584564209,
0.8133417963981628,
-0.2393898367881775,
-0.2492969036102295,
-0.4001907408237457,
0.7870864272117615,
-0.6367346048355103,
-0.046467468142509... |
Given a sentence in the Thai, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
ซึ่งเป็นชัยชนะครั้งที่ห้าของเขา ในฤดูการแข่งปี 2010ของการการแข่งขันสต็อคคาร์อาชีพชั้นนำของสหรัฐอเมริกา ซึ่งเป็นผลให้เขาเสมอกับDenny Hamlin ในการเป็นน... | それは彼にとって2010年シーズンのアメリカの主要プロフェッショナルストックカーシリーズにおける5度目の勝利で、これによって彼は勝利数においてデニー・ハミルトンと互角になった。 | 0 | NIv2 | task1128_alt_th_ja_translation | zs_opt | [
0.15260249376296997,
-0.49815669655799866,
-0.3030478060245514,
0.04823023080825806,
-0.33017057180404663,
-0.22775976359844208,
0.14017713069915771,
0.6944305896759033,
-0.23173248767852783,
0.07879666984081268,
-0.41793882846832275,
0.7538437843322754,
-1.0176399946212769,
0.527040839195... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a sentence in the Swedish 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 on... | The unease is justified. | 0 | NIv2 | task312_europarl_sv_en_translation | fs_opt | [
0.2132863998413086,
0.719122052192688,
0.7016971111297607,
-0.6579948663711548,
-0.28702324628829956,
-0.24072451889514923,
0.9500013589859009,
-0.17407643795013428,
0.8721081018447876,
-0.3616563677787781,
0.03584146872162819,
0.8392107486724854,
-0.7070144414901733,
0.33750784397125244,
... |
In this task, you need to count the number of times the given letter appears in the given sentence.
One example: Sentence: 'a large group of bananas proped up on several bicycles'. Find frequency of the letter 'e'
Solution is here: 5
Explanation: The letter 'e' appears 5 times in the sentence.
Now, solve this: Sentenc... | 3 | 6 | NIv2 | task113_count_frequency_of_letter | fs_opt | [
-0.7982715368270874,
-0.1737845540046692,
-0.07686997205018997,
-0.46713948249816895,
0.7913193702697754,
-0.9429835081100464,
0.548356294631958,
0.5793496370315552,
-0.7927884459495544,
-0.19817906618118286,
-1.2772042751312256,
0.2422286421060562,
-0.16205313801765442,
0.0776743739843368... |
Given the task definition and input, reply with output. Given a passage with a context and an answer, 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 a... | Is aNGPTL8/Betatrophin R59W variant associated with higher glucose level in non-diabetic Arabs living in Kuwaits? | 5 | NIv2 | task845_pubmedqa_question_generation | zs_opt | [
0.16607514023780823,
-0.14425380527973175,
0.07823894917964935,
0.1560674011707306,
-0.20119310915470123,
-0.11834247410297394,
0.6060207486152649,
0.4894889295101166,
-0.08114904910326004,
0.24119725823402405,
-1.095055103302002,
-0.022769592702388763,
-1.2067207098007202,
0.1246238052845... |
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.
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。
Example solution: Italia berhasil mengalahkan Portugal 31-5 di... | Solution: Final tunggal putra diadakan setelahnya pada hari ini dengan unggulan pertama dan juara bertahan Roger Federer menghadapi unggulan kedua Rafael Nadal sebuah pengulangan final tahun lalu. | 5 | NIv2 | task1115_alt_ja_id_translation | fs_opt | [
-0.43426817655563354,
0.8406282663345337,
-0.7088949680328369,
0.14990517497062683,
-0.37072861194610596,
-0.08007794618606567,
0.44092679023742676,
0.09788563847541809,
0.13250046968460083,
-0.6062601208686829,
-1.2238867282867432,
1.153247594833374,
-0.7973436117172241,
0.635537624359130... |
A text is given in Gujarati. Translate it from the Gujarati language to the Oriya language. The translation must not omit or add information to the original sentence.
Q: ଏହି ଅବସରରେ ଏକ ବାର୍ତ୍ତା ଦେଇ ରାଷ୍ଟ୍ରପତି କହିଛନ୍ତି ଯେ “ଗୁରୁ ନାନକ ଦେବଙ୍କ ଜୟନ୍ତୀ ଅବସରରେ ତାଙ୍କର ଜୀବନାଦର୍ଶ ଏବଂ ଉପଦେଶକୁ ଆମେ ସଭିଏଁ ସ୍ମରଣ କରିବା ଉଚିତ । ଏହି ଅବସରରେ... | પ્રધાનમંત્રી શ્રી નરેન્દ્ર મોદીની અધ્યક્ષતામાં મંત્રીમંડળની બેઠકમાં શ્રી ગુરૂ નાનક દેવજીની આવતા વર્ષે આવી રહેલી 550મી જન્મજયંતિની સમગ્ર દેશમાં અને દુનિયાભરમાં ઉજવણી કરવાનો નિર્ણય કરાયો છે. આ ઉપરાંત રાજ્ય સરકારો અને વિદેશના ભારતીય મિશન પણ પ્રસંગોચિત ઉજવણી કરશે. | 4 | NIv2 | task1078_pib_translation_oriya_gujarati | zs_opt | [
-0.20488765835762024,
1.0159623622894287,
0.19480100274085999,
-0.6452521085739136,
0.10706192255020142,
-1.7367007732391357,
0.4266534745693207,
0.06405464559793472,
-0.8326005935668945,
-0.7316563129425049,
0.09519066661596298,
-0.3968285322189331,
-0.38349372148513794,
-0.11134149134159... |
You need to answer a given question containing a blank (_). Your answer must be one of the two objects mentioned in the question, for example "trophy" and "suitcase". Your answer must not contain a word that is not present in the question. Please don't use articles (e.g., the, a) before the answer.
His hands were crac... | oil | 0 | NIv2 | task033_winogrande_answer_generation | zs_opt | [
-0.037713419646024704,
1.0116082429885864,
-0.2444763332605362,
-0.49344581365585327,
0.0031584473326802254,
-0.9413425922393799,
1.3511556386947632,
0.5215798616409302,
-0.08292694389820099,
-0.07882670313119888,
0.19499792158603668,
0.0624610111117363,
-0.37477919459342957,
-0.4222903251... |
In this task, you need to replace a letter in the sentence with another given letter.
Input: Consider Input: Sentence: 'a person is looking out of a large window'. Replace the letter 'o' with 'p' in the sentence.
Output: a perspn is lppking put pf a large windpw
Input: Consider Input: Sentence: 'a person jumping up... | Output: a large boat vs out vn the water
| 2 | NIv2 | task160_replace_letter_in_a_sentence | fs_opt | [
-0.8129771947860718,
1.1460950374603271,
-0.5758636593818665,
-0.7113397121429443,
0.11803553998470306,
-0.1925925612449646,
0.3827090859413147,
0.7002590894699097,
0.5159326195716858,
-0.30269795656204224,
-0.8156583309173584,
-0.13679230213165283,
-0.5610343217849731,
0.02861813828349113... |
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 | task1200_atomic_classification_xeffect | zs_opt | [
0.061898358166217804,
0.32393965125083923,
0.5584706664085388,
-0.1235026866197586,
-0.3212049603462219,
-0.8201403617858887,
1.5872466564178467,
0.3721207082271576,
-0.9687286019325256,
-0.4202697277069092,
-0.08144694566726685,
-0.4516507089138031,
-0.5658678412437439,
0.1639249175786972... |
Detailed Instructions: In this task you will be given a list of integers. You should only return an integer if the first digit is the same as the last digit in the number. If an integer has a single digit, then it should be returned. If there are no integers that start and end with the same digit then an empty list ("[... | [-686, -272, -727, -454] | 9 | NIv2 | task372_synthetic_palindrome_numbers | zs_opt | [
-1.4697482585906982,
0.20054829120635986,
-0.3571326732635498,
-0.32995471358299255,
-0.6149582862854004,
0.0506155900657177,
1.2636674642562866,
-0.10389001667499542,
-0.8868064880371094,
0.062233440577983856,
-0.48234662413597107,
0.007551467977464199,
-0.334775447845459,
-0.135289430618... |
Definition: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
Input: Comment: Trump: "I don't belie... | Non-threat | 2 | NIv2 | task322_jigsaw_classification_threat | zs_opt | [
-0.46040111780166626,
0.5074262619018555,
0.6812286376953125,
0.3147730231285095,
-0.2365303933620453,
-0.2968553304672241,
0.9432967901229858,
0.6551874876022339,
0.17647309601306915,
0.05532076209783554,
-0.3689224421977997,
0.21070045232772827,
-0.9552543759346008,
-0.6074739694595337,
... |
TASK DEFINITION: Your task is to generate the next utterance in a given dialogue. You will be given a few sentences describing the personality of the person who is making the dialogue, and a history of the dialogue after that. Each line in the history is said by one of the two participants in the conversation.
PROBLEM:... | Maybe you can get one one day.
| 8 | NIv2 | task1729_personachat_generate_next | fs_opt | [
0.2663116455078125,
0.023365050554275513,
-0.770113468170166,
0.3190292716026306,
-0.10295022279024124,
-0.06481659412384033,
1.0935887098312378,
0.5183530449867249,
-0.610744059085846,
0.42174065113067627,
0.10745304077863693,
0.22659103572368622,
-0.6707642078399658,
-0.15456047654151917... |
You will be given a definition of a task first, then some input of the task.
In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. There are several possible answers, yo... | OTHER | 1 | NIv2 | task304_numeric_fused_head_resolution | zs_opt | [
-0.02385851927101612,
0.2159557044506073,
-0.5217667818069458,
0.31034329533576965,
0.01417132094502449,
-0.21499697864055634,
1.4267752170562744,
0.7634238004684448,
-0.19806069135665894,
0.08175752311944962,
-0.17470315098762512,
0.22243928909301758,
-0.2648349404335022,
-0.2830481529235... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
Input: Consider Input: Nie zawsze tak jest.
Output: The truth is that's not always the case.
Input: Consider Input: Ten fotelik jest lepszy, niż przeciętna według Raportu Konsumenta.
Output: So this car seat was actually... | Output: She says this to me.
| 2 | NIv2 | task1256_ted_translation_pl_en | fs_opt | [
-0.8174498081207275,
0.5102903842926025,
-0.6989613771438599,
-0.0583488754928112,
0.010375994257628918,
-1.7110463380813599,
1.0920404195785522,
-0.2281612753868103,
0.41673141717910767,
0.17153503000736237,
0.3607630133628845,
1.021256923675537,
-0.7313101887702942,
0.17092087864875793,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a review text from amazon and its polarity (either positive or negative). Generate answer "True" if given sentence and its polarity match, otherwise generate answer "False". A review is conside... | False | 0 | NIv2 | task494_review_polarity_answer_generation | fs_opt | [
-0.4206806719303131,
-0.28468626737594604,
0.15796497464179993,
0.03714374452829361,
0.530975341796875,
-0.5707071423530579,
0.7432703971862793,
0.6567316055297852,
0.1261691302061081,
0.10186522454023361,
-0.010809575207531452,
-0.15990789234638214,
-0.5727812051773071,
-0.092177778482437... |
In this task, your goal is to judge a correct answer to a given question based on an associated paragraph and decide if it is a good correct answer or not. A good correct answer is one that correctly and completely answers the question. A bad correct answer addresses the question only partially or incorrectly. If you t... | No.
| 5 | NIv2 | task056_multirc_classify_correct_answer | fs_opt | [
0.021581795066595078,
0.7300255298614502,
0.10960133373737335,
-0.5756810903549194,
0.18526078760623932,
-0.25921255350112915,
0.2514122724533081,
0.6637478470802307,
-0.10091602057218552,
0.4892941415309906,
-0.3392237424850464,
0.8601383566856384,
-0.3120814561843872,
-0.1950068473815918... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a sentence in the Japanese and Lao language. Your task is check if the Lao sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label... | No | 0 | NIv2 | task1126_alt_ja_lo_answer_generation | fs_opt | [
-0.41588884592056274,
-0.05802265554666519,
-0.25739967823028564,
0.17748293280601501,
0.15156984329223633,
-0.1256752610206604,
0.03305590897798538,
0.6469427943229675,
-0.6963326930999756,
-0.3406181037425995,
0.2545336186885834,
0.8707302808761597,
-0.18025389313697815,
0.52818387746810... |
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e. tagset of this corpus is 'ADJ'... | AUX | 8 | NIv2 | task583_udeps_eng_coarse_pos_tagging | fs_opt | [
0.7522127628326416,
0.3609488010406494,
0.024079298600554466,
-0.11567053943872452,
0.1937207132577896,
-1.0132862329483032,
0.6732346415519714,
0.9793593883514404,
-0.7186146974563599,
-0.5231201648712158,
-0.2159021496772766,
0.051193878054618835,
-0.6530327796936035,
0.39796775579452515... |
instruction:
Generate a question which can yield the answer mentioned in the input. Generated question must be answered by the answer provided in input, without using any extra knowledge.
question:
Context : An Englishman Abroad is a 1983 BBC television drama film, based on the true story of a chance meeting of an actr... | What company is Midwest Airlines part of?
| 9 | NIv2 | task1326_qa_zre_question_generation_from_answer | fs_opt | [
0.07532785832881927,
0.5389493703842163,
-0.41251564025878906,
-0.746681272983551,
0.3145182430744171,
0.1606270670890808,
0.18088147044181824,
0.3715272545814514,
-0.11966107785701752,
-0.08194410800933838,
-0.3138435482978821,
0.2891111969947815,
-1.0655345916748047,
-0.2786506414413452,... |
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 music product reviews in French language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentime... | NEG | 0 | NIv2 | task484_cls_french_music_classification | fs_opt | [
-0.2525869309902191,
0.25360503792762756,
-0.6157930493354797,
0.02227773517370224,
0.18257907032966614,
-0.2544603645801544,
1.3968504667282104,
0.9765185713768005,
0.2181752473115921,
0.5391406416893005,
-0.5994618535041809,
-0.07337243854999542,
0.10884211957454681,
0.13099639117717743,... |
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... | 腿需要舌头 | 6 | NIv2 | task412_mickey_zh_sentence_perturbation_generation | fs_opt | [
-0.08151523768901825,
0.2164524495601654,
-0.3009558916091919,
-0.34050697088241577,
-0.01844261772930622,
-0.1805265247821808,
-0.16279558837413788,
0.34834447503089905,
-0.30217236280441284,
-0.13773579895496368,
-0.5241672992706299,
-0.3545416295528412,
-0.19756893813610077,
0.028165401... |
Given a sentence in the Filipino, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Example input: Natalo ng Italya ang Portugal sa puntos na 31-5 sa Grupong C noong 2007 sa Pandaigdigang laro ng Ragbi sa Parc des Princes, Paris,... | しかしながら、アメリカは囚人数は世界第1位で、世界全体で900万人のうち200万人もの驚異的な収容者数である。 | 3 | NIv2 | task1119_alt_fil_ja_translation | fs_opt | [
-0.1703149974346161,
0.9641644954681396,
-0.1844700574874878,
0.291434645652771,
-0.010996969416737556,
-0.743179976940155,
-0.033295899629592896,
0.4000712037086487,
0.40313422679901123,
-0.465320885181427,
-0.741336464881897,
0.7501182556152344,
-0.4770263135433197,
0.6246739625930786,
... |
An answer is given. Generate a question for which the given answer is either a direct or partial answer.
Answer: aunt | what relationship is george clooney and rosemary clooney? | 0 | NIv2 | task443_com_qa_ans_question_generation | zs_opt | [
-0.7447366714477539,
1.1062822341918945,
-0.08292312920093536,
0.04329942911863327,
-0.6350927352905273,
-1.3327152729034424,
0.2932736575603485,
0.3615072965621948,
0.5686583518981934,
0.18396690487861633,
0.05184179171919823,
0.2674781084060669,
-1.0992934703826904,
0.47601282596588135,
... |
Teacher: Given a sentence in Italian, generate a new Italian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probabilit... | Pesci utilizzati nei fiumi. | 2 | NIv2 | task408_mickey_it_sentence_perturbation_generation | fs_opt | [
-0.19853931665420532,
0.16795748472213745,
-0.2949541211128235,
0.2862819731235504,
-0.18150509893894196,
-0.9177858829498291,
0.31436359882354736,
1.2262115478515625,
0.16050073504447937,
-0.24210137128829956,
-0.22732117772102356,
0.2702828049659729,
-0.3150503635406494,
-0.0589193031191... |
instruction:
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.
question:
大手銀行の破産など、この時点では誰も予想していないが、大手銀行の利益が損害を受けることは懸念されている。
answer:
Ketika tidak seorangpun memprediksi kegagalan bank-ban... | Beberapa sekolah telah berubah menjadi tempat penyiksaan setelah guru-guru diusir.
| 9 | NIv2 | task1115_alt_ja_id_translation | fs_opt | [
-0.1381915807723999,
0.26370716094970703,
-0.3267831802368164,
-0.2577909827232361,
-0.2949336767196655,
-0.6158199310302734,
0.6171005964279175,
0.14011816680431366,
0.02386387810111046,
0.015178841538727283,
-0.8894890546798706,
0.5285710096359253,
-0.7304235100746155,
0.3382821977138519... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the numerical elements in the given list. Return 0 if no numerical element in the list.
['i', 'k', '9997', 'p', '1611', '7477', '4661', '9389', 'I', '431', '3119'] | 7 | 0 | NIv2 | task505_count_all_numerical_elements_in_list | zs_opt | [
-0.3972598910331726,
0.6327451467514038,
-0.21932068467140198,
-0.5027323365211487,
-0.48533308506011963,
0.1854887753725052,
1.1165316104888916,
-0.23366998136043549,
-0.5008653998374939,
0.2039196640253067,
-0.815326452255249,
0.4887087047100067,
-0.45522576570510864,
-0.0708665475249290... |
In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
Let me give you an example: و همان کسى که جفتها را یکسره آفرید، و براى شما از کشتیها و دامها [وسیلهاى که] سوار شوید قرار داد.
The answer to this example can be: He who created pairs of everything, and fas... | There are some among the people of the Book who return a whole treasure entrusted to them; yet some there are who do not give back a dinar until you demand and insist, because they say: "It is not a sin for us to (usurp) the rights of the Arabs." Yet they lie against God, and they know it. | 8 | NIv2 | task657_quran_fa_en_translation | fs_opt | [
-0.4678822159767151,
0.25881946086883545,
-0.29897910356521606,
-0.37938636541366577,
0.12840041518211365,
-0.09439072012901306,
0.7855533361434937,
0.8900388479232788,
-0.1387884020805359,
0.05807353928685188,
-0.876785397529602,
0.9276062250137329,
-0.955735981464386,
-0.0431931093335151... |
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.
[-6, -73, 40, -5... | 1 | 0 | NIv2 | task1445_closest_integers | zs_opt | [
-0.5506690740585327,
0.43013808131217957,
0.12320899963378906,
-0.19338713586330414,
-0.20224960148334503,
-0.29034966230392456,
0.8707147240638733,
-0.10763488709926605,
0.4933444857597351,
-0.3326375484466553,
-0.44644495844841003,
-0.372267484664917,
-0.7825169563293457,
-0.174947082996... |
Given a sentence in English language, translate the sentence to Somali language keeping the meaning of the original sentence intact
Let me give you an example: English sentence: Lionel Messi is the greatest football player of all time
The answer to this example can be: Lionel Messi waa ciyaaryahanka ugu weyn kubadda c... | Ciraaq iyo xaaladihii ugu dambeeyay_dhanaanmedia.com | 8 | NIv2 | task446_opus_paracrawl_en_so_translation | fs_opt | [
-0.34311506152153015,
1.0186303853988647,
0.0010215193033218384,
-0.5321226119995117,
0.4540697932243347,
-0.6642661094665527,
-0.1463899314403534,
0.3435376286506653,
0.4221044182777405,
-0.24878354370594025,
-0.0814298614859581,
1.190119981765747,
-1.371347188949585,
0.01260538399219513,... |
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".
English: Hong Kong-based labor rights group Students & Scholars Against Corporate M... | Yes | 0 | NIv2 | task437_alt_en_ja_answer_generation | zs_opt | [
-0.37888282537460327,
-0.5916926860809326,
0.366102933883667,
-0.5848131775856018,
0.12807676196098328,
-1.0376135110855103,
-0.20236621797084808,
0.1686529517173767,
-0.33355751633644104,
0.2287357598543167,
0.22588467597961426,
0.05851754546165466,
-0.19069774448871613,
-0.34594321250915... |
TASK DEFINITION: In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e you need to perform addition when you see 'aggiunta' and subtraction in case of 'sottrazione'.
PROBLEM: 9... | 510
| 8 | NIv2 | task086_translated_symbol_arithmetic | fs_opt | [
0.26502725481987,
0.5413985848426819,
-0.4531269967556,
-0.06819438189268112,
-0.5266215801239014,
0.33562004566192627,
0.6905549168586731,
1.0027358531951904,
0.04435448348522186,
-0.31866899132728577,
-0.9974780678749084,
-0.3282167613506317,
-0.5313540101051331,
0.6860166788101196,
0.... |
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