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 |
|---|---|---|---|---|---|---|
Detailed Instructions: In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write the required POS tag answering the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Dete... | NN | 9 | NIv2 | task382_hybridqa_answer_generation | zs_opt | [
0.02919069118797779,
0.4281279444694519,
-0.09172773361206055,
0.26101958751678467,
-0.06069987639784813,
-0.456470787525177,
0.9815824031829834,
0.3355201780796051,
0.022442787885665894,
-0.271783709526062,
-0.5165546536445618,
0.5944649577140808,
-0.7138017416000366,
0.006928242743015289... |
In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appear in th... | Solution: If a beagle sitting in the grass has dog tags on it's collar | 5 | NIv2 | task184_break_generate_question | fs_opt | [
0.8967092633247375,
-0.04392610490322113,
-0.5936565399169922,
0.4113721251487732,
0.5203659534454346,
-0.33374449610710144,
0.9439873695373535,
0.30963805317878723,
-0.6273593902587891,
0.5554265379905701,
-0.22553110122680664,
0.48968544602394104,
0.07736381888389587,
0.3455345630645752,... |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
Problem:Wszczepiliśmy więc elektrody chorym na depresję.
Solution: | خوب ما ادامه داديم و الكترودها را در بيمارانى با افسردگى قرار داديم. | 8 | NIv2 | task1263_ted_translation_pl_fa | zs_opt | [
-0.12912827730178833,
0.21097451448440552,
-0.3728908598423004,
-0.7752901315689087,
-0.17835964262485504,
-0.03598383814096451,
2.0574417114257812,
-0.4023916721343994,
1.0187288522720337,
-0.11048906296491623,
-0.722425103187561,
0.6091631054878235,
-0.12115129828453064,
0.76201051473617... |
Definition: In this task, you will be presented with a question, a word, and a POS tag. You have to determine whether the part-of-speech tag of the given word in the question is equal to the given POS tag or not. Give your answer with True or False. Here is the Alphabetical list of part-of-speech tags used in this task... | True | 2 | NIv2 | task346_hybridqa_classification | zs_opt | [
0.09025076776742935,
0.08234618604183197,
-0.5473004579544067,
0.9189200401306152,
-0.08939436823129654,
-0.4480553865432739,
0.2903376817703247,
0.9697308540344238,
-0.3538321852684021,
0.3467051088809967,
-0.5695816278457642,
0.010406444780528545,
0.28302645683288574,
-0.4673137664794922... |
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'.
Example: Problem: what is difference between biggest and smallest fraction among 2 / 3 , 3 / 4 , 4 / 5 and 5 / 3
Options: a ) 2 / 5 , b ) 3 / 5 , c ) 1 / 6 , d ) 1 , e ) none... | Solution: b | 5 | NIv2 | task1420_mathqa_general | fs_opt | [
0.6914015412330627,
-0.2607906758785248,
-0.42131507396698,
0.4557860493659973,
0.025877557694911957,
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0.4943356215953827,
1.4314254522323608,
-0.4870803952217102,
0.3738884925842285,
-1.1209735870361328,
-0.04108542203903198,
0.11657514423131943,
-0.3158027231693268,
... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions of the participants in the sentence and those affected by it. Is any of these emotions caused by the sentence? You should write your answer in the form " A >Causes> B". Try to use phrases and sentences fro... | A bear waits for me to finish breakfast >Causes> I feel(s) surprised
| 7 | NIv2 | task749_glucose_reverse_cause_emotion_detection | fs_opt | [
0.021209681406617165,
-0.29568853974342346,
-0.6565142273902893,
0.21291378140449524,
0.12989592552185059,
-0.9622318744659424,
0.94764643907547,
1.1906182765960693,
-0.7174931168556213,
0.2920493483543396,
-0.2068610042333603,
-0.0565459281206131,
-0.24891649186611176,
-0.1683237701654434... |
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 | 3 | NIv2 | task1201_atomic_classification_xintent | fs_opt | [
0.6458146572113037,
0.3622908592224121,
0.07242998480796814,
-0.10838767886161804,
-0.3021131753921509,
-0.9482587575912476,
1.4749953746795654,
0.35771656036376953,
-0.06662044674158096,
-0.3223488926887512,
-0.17019051313400269,
-0.781959056854248,
-0.6910708546638489,
0.1088061630725860... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the alphabetical elements in the given list in order. Assume the position of the 1st eleme... | 1, 6, 10, 11, 13, 15, 16, 19, 21, 23, 25, 26, 29, 30, 31, 32, 34, 35, 36, 37, 38 | 1 | NIv2 | task506_position_of_all_alphabetical_elements_in_list | zs_opt | [
-0.1686580330133438,
0.13829992711544037,
-0.4801921844482422,
-0.08634646236896515,
0.1934090554714203,
-0.47385174036026,
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-0.8243871331214905,
0.24121634662151337,
-0.3048805892467499,
-0.22568094730377197,
0.30080947279930115,
0.13252103328704834... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Japanese.
[Q]: Que palavras usar?
[A]: どんな言葉で伝えればいいか ？
[Q]: Mas eu gosto de pressioná-los.
[A]: それでもあえて答えを求めると
[Q]: É também a história do capitalismo moderno. Porque foi da riqueza desta terra que surgiu o nosso sistema ... | また同時にこれは近代資本主義の物語でもありますというのも私たちの経済システムを生み出したのはこの土地から生まれた富でありその経済システムは永続的に成長し未開拓分野を供給し続けなければ機能し続けることができません
| 5 | NIv2 | task1275_ted_translation_pt_ja | fs_opt | [
-0.4975152015686035,
0.8051763772964478,
-0.016199465841054916,
-0.3208313286304474,
-0.7677952647209167,
-0.04639319330453873,
0.6711422204971313,
0.4871457815170288,
-0.3294934034347534,
-1.11600661277771,
-0.9030869007110596,
0.4250521659851074,
-0.6712425947189331,
0.16206392645835876,... |
You will be given a definition of a task first, then some input of the task.
A text is given in English. Translate it from the English language to the Telugu language. The translation must not omit or add information to the original sentence.
We have also revamped our up-stream policies and regulations and brought tra... | హైడ్రోకార్బన్ అన్వేషణ మరియు లైసెన్సింగ్ విధానంలో కాఠిన్యాన్ని సరళీకరించి నియమ నిబంధనలలో పారదర్శకత ప్రవేశపెట్టడంతోపాటు ఈ రంగంలో పోటీతత్వాన్ని తీసుకొచ్చాం. | 1 | NIv2 | task1047_pib_translation_english_telugu | zs_opt | [
-0.78611159324646,
0.7149938344955444,
0.5233504176139832,
-0.3132323622703552,
0.09062814712524414,
-1.4070188999176025,
0.27064192295074463,
0.5087168216705322,
0.19742867350578308,
0.44608402252197266,
0.22933396697044373,
-0.52983158826828,
-0.5773226618766785,
-0.19868548214435577,
... |
Detailed Instructions: In this task, you are given books product reviews in Japanese language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Problem:がん治療でのポジティブシンキング指南書 . 癌と診断されると、落ち込んだり、悩んだりと、非常にネガティブな気持ちにな... | POS | 8 | NIv2 | task485_cls_japanese_books_classification | zs_opt | [
-0.04873628914356232,
-0.6430567502975464,
0.00857305433601141,
-0.3393738269805908,
0.7373058795928955,
-0.6853275299072266,
1.089065432548523,
-0.3368915915489197,
0.4629659950733185,
0.6748806238174438,
-0.7017134428024292,
-0.5222017765045166,
-0.007236899342387915,
0.3459617495536804,... |
Q: In this task, you are given a sentence in English, and your task is to translate it into Persian.
This is Love.
A: | این عشق است. | 7 | NIv2 | task663_global_voices_en_fa_translation | zs_opt | [
-0.8058854937553406,
1.0504395961761475,
0.2572975754737854,
-0.1915031373500824,
-0.3582105040550232,
-0.27105435729026794,
0.6640089750289917,
0.5313337445259094,
0.34364309906959534,
-0.6290140151977539,
-0.37383735179901123,
0.03303876519203186,
0.24293109774589539,
0.3435870110988617,... |
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.
This place has so much potential but was such a disappointment.\n\nThe decor is nice. This place is huge with ... | NEGATIVE
| 0 | NIv2 | task475_yelp_polarity_classification | fs_opt | [
-0.1356172263622284,
-0.039643168449401855,
-0.08577729761600494,
0.637669563293457,
0.46158936619758606,
-0.005502788815647364,
0.6043249368667603,
1.0063471794128418,
0.07439786940813065,
-0.17131879925727844,
0.5774863958358765,
0.07728870213031769,
-0.7438234090805054,
-0.2582600116729... |
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
There 's not much to Fatale , outside of its stylish surprises ... but that 's OK . | NEG | 0 | NIv2 | task363_sst2_polarity_classification | zs_opt | [
-0.28917962312698364,
-0.09343922138214111,
0.7718838453292847,
-0.3118206262588501,
0.21679508686065674,
-0.5707620978355408,
1.2249029874801636,
0.9926714897155762,
-0.12439677119255066,
0.5863500833511353,
-0.8181477189064026,
-1.1260173320770264,
0.080095574259758,
-0.223592609167099,
... |
Definition: In this task, you will be shown a conversation. You need to write a question with three choices for the conversation. Your question should be answerable based on the conversation and only have one correct answer. Note that you don't need to answer your question. "W" and "M" in the conversations stand for "w... | What does the man think of skin cancer? (A) The skin cancer is easy to cure. (B) The skin cancer is a common cancer. (C) The skin cancer need not be worried about. | 2 | NIv2 | task246_dream_question_generation | zs_opt | [
0.2356865406036377,
0.31979507207870483,
-0.5208084583282471,
-0.7132919430732727,
-0.11131052672863007,
0.049870435148477554,
0.40842726826667786,
0.34694740176200867,
0.7223043441772461,
-0.12069354206323624,
-0.6431445479393005,
0.394885390996933,
0.03325429931282997,
0.1173962056636810... |
In this task you are given a sentence. You must judge whether the main verb of the sentence is in present or past tense. Label the instances as "Present" or "Past" based on your judgment. If there is no verb in the given text, answer "Present".
Ex Input:
So I snuck into the woods behind my aunt's house and fired at st... | Present
| 1 | NIv2 | task429_senteval_tense | fs_opt | [
-0.7947912216186523,
0.3277781307697296,
0.06608361005783081,
0.3768589496612549,
0.0008975858800113201,
-0.09555080533027649,
0.5988222360610962,
0.9180805087089539,
0.5904215574264526,
0.08526588976383209,
-0.7326935529708862,
0.16835838556289673,
-0.4454529285430908,
-0.1726067513227462... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a sentence in the Gujarati language and a corresponding English translation of the Gujarati sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
Example: Guj... | Yes | 1 | NIv2 | task440_eng_guj_parallel_corpus_gu-en_classification | fs_opt | [
-0.6163207292556763,
0.5948367118835449,
0.40704774856567383,
0.3797965347766876,
0.4383043348789215,
-0.7143346071243286,
-0.6412131786346436,
0.39246562123298645,
-0.3216278553009033,
0.0002439863746985793,
0.16094358265399933,
0.5662676692008972,
-0.6471006870269775,
-0.1975047886371612... |
Instructions: Translation from English to Telugu.
Input: (SLOW COUNTRY MUSIC PLAYING)
Output: | (స్లో COUNTRY MUSIC ప్లే) | 3 | NIv2 | task1330_open_subtitles_en_te_translation | zs_opt | [
0.12399590015411377,
0.8907686471939087,
-1.0504717826843262,
0.706372082233429,
0.4930257201194763,
-0.40382400155067444,
0.10705257207155228,
0.770132303237915,
-0.7578336000442505,
0.51511150598526,
-0.10854445397853851,
-0.2843717932701111,
-0.3455905020236969,
-0.11325077712535858,
... |
Instructions: 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 four classes: Religious, Political, Geopolitic... | Personal | 3 | NIv2 | task1494_bengali_hate_speech_classification | zs_opt | [
-0.7647825479507446,
0.6080361604690552,
0.19842663407325745,
0.10865221172571182,
-0.3588205575942993,
-1.020259976387024,
0.38154178857803345,
0.36703211069107056,
-0.1471126675605774,
-0.13874711096286774,
-0.9202730059623718,
-0.09428671002388,
-0.11714722216129303,
-0.346617192029953,... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English.
Let me give you an example: (تصفيق) ومع ذلك هناك معارك سياسية في بلدنا.
The answer to this example can be: (Applause) However there is a political battle in our country.
Here is why: The Arabic sentence is correctly translat... | So, the saddles — that saddle-shaped spring — has actually been well known to biologists for a long time, not as a spring but as a visual signal. | 8 | NIv2 | task1230_ted_translation_ar_en | fs_opt | [
-0.18671101331710815,
0.9605580568313599,
0.49075987935066223,
-0.5644031763076782,
-0.28649893403053284,
-0.4464464783668518,
0.9754869341850281,
-0.45429471135139465,
0.09819044172763824,
0.044224388897418976,
-0.4485238194465637,
0.199247345328331,
-0.7217507362365723,
0.188981592655181... |
In this task you will be given a list of integers. You should find the maximum 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 largest possible absolute distance.
[Q]: [-37, -31, -... | 171
| 5 | NIv2 | task1446_farthest_integers | fs_opt | [
-0.6410309672355652,
0.3895750343799591,
0.06324027478694916,
-0.35980677604675293,
-0.13973170518875122,
0.1402106136083603,
0.31843212246894836,
0.15938833355903625,
0.5481834411621094,
-0.3423459827899933,
-0.4206894040107727,
-0.19439688324928284,
-0.6892392635345459,
0.132771059870719... |
In this task, you're given a text which is the body of the document. Indicate your answer as "Yes" if the text is about a person, otherwise indicate your answer as "No". Don't generate anything else apart from "Yes" or "No". Pay attention that for your answer to be "Yes", the passage should be generally about a person.... | Yes | 4 | NIv2 | task632_dbpedia_14_classification | zs_opt | [
-0.7153730392456055,
0.7611685991287231,
-0.7429784536361694,
0.5047605037689209,
-0.22567719221115112,
-0.4468320310115814,
0.7344149947166443,
0.08224030584096909,
0.42860111594200134,
-0.020827630534768105,
0.13429725170135498,
0.3382107615470886,
-0.4859861135482788,
-0.536710381507873... |
Teacher: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, WHEN, HO... | ¿Quién se alzó con la victoria de Wimbledon? | 6 | NIv2 | task1335_sqac_question_generation | zs_opt | [
0.6131795644760132,
0.38193660974502563,
-0.2759191691875458,
-0.24227266013622284,
0.5615484118461609,
-0.9843671321868896,
1.0471155643463135,
0.9218054413795471,
0.12355471402406693,
-0.487817645072937,
-0.10794026404619217,
1.3400686979293823,
-0.7543663382530212,
-0.4023287892341614,
... |
In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story to not connect with the rest of the story. Ensure that the generated sentence is contextually relevant to the story.
Example input: Title: Marcus Buys Khakis. Sentence 1: Marc... | I tempered my expectations and began remaking my build. | 3 | NIv2 | task215_rocstories_incorrect_answer_generation | fs_opt | [
-0.32670390605926514,
0.8458351492881775,
-0.09234445542097092,
-0.24111580848693848,
-0.21558408439159393,
0.2853619456291199,
0.63618004322052,
0.5238299369812012,
0.23822766542434692,
-0.24555936455726624,
-0.948016881942749,
-0.05758068338036537,
-0.42418336868286133,
0.300538480281829... |
TASK DEFINITION: You are given a sentence in Galician. Your job is to translate the Galician sentence into Italian.
PROBLEM: Levoulle moito tempo adoptar esta posición e no entanto, eu estaba a pensar “Meu deus, vaino facer realmente?
SOLUTION: Ci ha messo molto per raggiungere questa posizione e nel frattempo pensavo... | Avrete sentito parlare della materia oscura, dell ’ energia oscura.
| 8 | NIv2 | task1243_ted_translation_gl_it | fs_opt | [
0.059883736073970795,
1.0725080966949463,
0.19260679185390472,
-0.24563099443912506,
-0.5247050523757935,
-0.7769811153411865,
0.8156633377075195,
1.2424768209457397,
-0.3826889991760254,
-0.20713898539543152,
-0.09057837724685669,
-0.30151301622390747,
-0.4731321334838867,
0.3234637975692... |
Craft one correct answer to the question given in input. To make it more interesting, try to use non-stereotypical language if possible. Make sure your correct answer is reasonably long, consistent with the context, and requires common sense (instead of explicit extraction from the context.) In your answer, use as few ... | The narrator put God 's will above all else . | 4 | NIv2 | task024_cosmosqa_answer_generation | zs_opt | [
-0.2992626130580902,
0.5881975293159485,
0.12390691787004471,
0.33183592557907104,
-0.5773715972900391,
-0.8897462487220764,
0.6597649455070496,
-0.3627468943595886,
0.1337476223707199,
-0.06305459141731262,
-0.15978728234767914,
0.050291646271944046,
-0.8247085213661194,
-0.36299067735671... |
Given the task definition and input, reply with output. In this task, you are given an utterance, which is a part of a conversation between a user and an agent. Your job is to detect the speaker. The user usually commands the agent to schedule events, retrieve event information, and check the schedule. While the agent'... | agent | 5 | NIv2 | task1599_smcalflow_classification | zs_opt | [
-0.3330932557582855,
0.46017423272132874,
-0.2473922222852707,
-0.005816717632114887,
-0.25812071561813354,
-0.3361377418041229,
0.5105331540107727,
-0.22918027639389038,
0.11491107195615768,
0.13657784461975098,
-0.30818313360214233,
-0.0999995768070221,
-0.5755894184112549,
0.25246471166... |
Detailed Instructions: A text is given in English. Translate it from the English language to the Malayalam language. The translation must not omit or add information to the original sentence.
See one example below:
Problem: Expressing happiness in interacting with women from Self Help Groups of various states, Prime Mi... | ആയിരക്കണക്കിന് സ്റ്റാര്ട്ട് അപ്പ് സംരഭകര്ക്ക് ഇതിന്റെ പ്രയോജനം ലഭിച്ചുവെന്നും ഡോ. | 4 | NIv2 | task1021_pib_translation_english_malayalam | fs_opt | [
-0.05598483607172966,
0.24829241633415222,
-0.09359078109264374,
-0.9013049006462097,
-0.141506165266037,
-0.6908043622970581,
0.8117520809173584,
0.412557452917099,
-0.2695689797401428,
0.17943575978279114,
-0.6590484976768494,
0.40636593103408813,
-0.7176924347877502,
0.25429093837738037... |
Definition: In this task, you will be shown a Persian passage and a question, and you have to determine whether the question is answerable based on the passage or not. If the question is answerable, choose the "True" label, and if not select "False"
Input: کاوشها و پژوهشهای دانشمندان و پژوهشگران در صد سالهٔ اخیر نشان... | True | 2 | NIv2 | task396_persianqa_classification | zs_opt | [
-0.026797592639923096,
0.04525799676775932,
-0.46305668354034424,
0.24882549047470093,
-0.6663877964019775,
0.4446122348308563,
0.8096427917480469,
0.6205291152000427,
0.21602284908294678,
0.24159575998783112,
-1.0256361961364746,
0.3563319444656372,
-0.28909552097320557,
0.070400439202785... |
In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given two options and you need to select the one that best connects the first sentence with the rest of the story. Indicate your answer by 'Option 1' if the first option is correct, otherwise 'Optio... | Solution: Option 2 | 5 | NIv2 | task065_timetravel_consistent_sentence_classification | fs_opt | [
-0.29930323362350464,
0.26249271631240845,
-0.39834854006767273,
0.21538740396499634,
0.1412569284439087,
0.104411780834198,
-0.024710532277822495,
0.9603541493415833,
0.5333848595619202,
-0.23216111958026886,
-0.45204970240592957,
-0.4225420355796814,
-0.48007747530937195,
-0.330107390880... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write your answer in the form... | Output: Sarah want(s) a pet cat >Motivates> Sarah gets a pet Cat
| 2 | NIv2 | task747_glucose_cause_emotion_detection | fs_opt | [
-0.06187092140316963,
-0.09848784655332565,
-1.0772137641906738,
0.755501925945282,
-0.03732488676905632,
-0.9950135946273804,
0.7177294492721558,
1.1247791051864624,
-0.7224646806716919,
0.2325809746980667,
-0.7084956169128418,
0.1952226310968399,
-0.6220769882202148,
-0.6824774742126465,... |
You will be given a definition of a task first, then some input of the task.
You are given an original reference as well as a system reference. Your task is to judge the informativeness of the system reference. If the utterance provides all the useful information from the meaning representation output 1, else output 0.... | 0 | 1 | NIv2 | task1284_hrngo_informativeness_classification | zs_opt | [
-0.7537664175033569,
0.6350595951080322,
-0.43491673469543457,
0.3903930187225342,
-0.6472597122192383,
-0.3843533992767334,
0.8619544506072998,
0.4954806864261627,
0.30008870363235474,
-0.31293785572052,
-0.10018575936555862,
-0.9372551441192627,
-0.03734103962779045,
-0.06421282887458801... |
Given the task definition and input, reply with output. You are given a sentence in Italian. Your job is to translate the Italian sentence into Hebrew.
Aveva l'odore... tipo di una caramella bruciata.
| והיה לזה ריח כמו של ממתקים שרופים. | 5 | NIv2 | task1251_ted_translation_it_he | zs_opt | [
-0.27525120973587036,
1.1885043382644653,
0.30307477712631226,
-0.22240281105041504,
-0.21333497762680054,
-0.20464648306369781,
0.10951445251703262,
0.22012881934642792,
0.15089088678359985,
-0.38070785999298096,
-0.34186625480651855,
0.16249854862689972,
-0.8995183110237122,
-0.150064527... |
In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.
Example input: 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 t... | No | 3 | NIv2 | task159_check_frequency_of_words_in_sentence_pair | fs_opt | [
-0.8531312942504883,
0.528937041759491,
-0.24424514174461365,
0.026413865387439728,
0.4588838219642639,
-0.5395010113716125,
0.31390756368637085,
1.2971620559692383,
-0.1974862515926361,
0.1812596619129181,
-0.44159507751464844,
-0.19281046092510223,
0.224602609872818,
0.3547360897064209,
... |
Detailed Instructions: In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each ci... | (D) | 9 | NIv2 | task268_casehold_legal_answer_generation | zs_opt | [
0.7883240580558777,
0.07164043188095093,
-0.03875124454498291,
0.2764762043952942,
0.3417356014251709,
-1.0982863903045654,
0.786185085773468,
1.0152556896209717,
-0.38063499331474304,
-0.3879263401031494,
-0.0712331160902977,
0.31848734617233276,
-0.10172002017498016,
0.2092542201280594,
... |
TASK DEFINITION: In this task, you are given an ambiguous question/query (which can be answered in more than one way) and a clarification statement to understand the query more precisely. Your task to classify that if the given clarification accurately clarifies the given query or not and based on that provide 'Yes' or... | Yes
| 8 | NIv2 | task227_clariq_classification | fs_opt | [
0.24748845398426056,
0.13945415616035461,
-0.4958052933216095,
0.442240834236145,
0.16968119144439697,
-0.6975011825561523,
0.9741514921188354,
0.4445032477378845,
0.22877325117588043,
0.262728214263916,
0.41920703649520874,
-0.10835123062133789,
-0.6903668642044067,
0.1276933252811432,
... |
Teacher: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: religious or non-political religious on... | non-religious | 6 | NIv2 | task1492_bengali_religious_hate_speech_binary_classification | zs_opt | [
-0.5100730657577515,
0.10991279780864716,
0.13793177902698517,
0.1060379147529602,
-0.7564641237258911,
-0.5064337849617004,
0.638792872428894,
0.3798159062862396,
0.20337647199630737,
-0.4069388210773468,
-0.03735239803791046,
-0.07103665173053741,
-0.17835217714309692,
-0.199012070894241... |
In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the gendered pronouns in the text and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable.
Example inpu... | Identifiable | 3 | NIv2 | task351_winomt_classification_gender_identifiability_anti | fs_opt | [
-0.7960304021835327,
0.7041081190109253,
-0.2308569848537445,
-0.6190410852432251,
-0.03408469259738922,
-0.06802167743444443,
-0.05168648064136505,
1.0312997102737427,
0.5679197907447815,
0.19471299648284912,
-1.2643351554870605,
-0.061982836574316025,
-0.5944753885269165,
-0.265362828969... |
In this task, you are given a sentence in Arabic, and your task is to translate it into English.
Q: لا يوجد حتى الآن المشتبه بهم ل الكابتن دوبلين وتضمينه في القتل و ولكن تحدثت إلى قائد له
A: | Still no suspects for Captain Doblin's murder, but I spoke to his C.O. | 4 | NIv2 | task650_opus100_ar_en_translation | zs_opt | [
-0.1531277596950531,
0.6065825819969177,
-0.5630927085876465,
-0.9567903876304626,
-0.3240795135498047,
0.021530993282794952,
1.2685706615447998,
-0.28178465366363525,
0.2335478961467743,
-0.4587022066116333,
-0.2108112871646881,
-0.11755991727113724,
-0.8559508323669434,
0.895517826080322... |
In this task, you are given a sentence in either Spanish or English. Your task is to determine the language of the input sentence. Input sentences can only be in Spanish or English, and they cannot be in two languages at the same time.
[Q]: La mejor protección posible del medio ambiente y de la salud requiere, pues,... | Spanish
| 5 | NIv2 | task533_europarl_es-en_language_identification | fs_opt | [
0.24338681995868683,
0.7626625299453735,
0.4316410422325134,
-0.5239237546920776,
0.17993363738059998,
-0.6304126977920532,
-0.5304086804389954,
0.9032953977584839,
-0.09486716985702515,
-0.023401688784360886,
-0.3571924567222595,
0.36856985092163086,
0.05877355858683586,
-0.84615635871887... |
This task is about creating an unanswerable question based on a given passage. Construct a question that looks relevant to the given context but is unanswerable. Following are a few suggestions about how to create unanswerable questions:
(i) create questions which require satisfying a constraint that is not mentioned i... | What was developed in 1980? | 4 | NIv2 | task348_squad2.0_unanswerable_question_generation | zs_opt | [
-0.0004289287608116865,
-0.04396827518939972,
0.1875455528497696,
0.8051442503929138,
0.18276315927505493,
-0.11834415793418884,
-0.13578912615776062,
1.397544503211975,
-0.5293406248092651,
-0.08442246913909912,
-0.3657304644584656,
-0.060420162975788116,
-0.496112585067749,
-0.1609406471... |
Teacher: In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each citing text. The... | recognizing that ruling of one trial judge does not preclude another trial judge reconsidering interlocutory ruling | 2 | NIv2 | task287_casehold_legal_incorrect_answer_generation | fs_opt | [
0.772943913936615,
0.25969552993774414,
-0.4006611108779907,
0.18342097103595734,
0.30441588163375854,
-1.290776252746582,
0.22372844815254211,
1.1161365509033203,
-0.40667635202407837,
0.2075059860944748,
-0.42530107498168945,
0.3939387798309326,
-0.4156074523925781,
0.10209973901510239,
... |
In this task, you are given a set of context paragraphs, some supporting facts and an answer of a question. Your task is to generate question for given answer based on set of context paragraphs, supporting facts and an answer.
Example: Context_1 : Charles Edward Ives ( ; October 20, 1874May 19, 1954) was an American mo... | Solution: Who produced the aircraft that Attack Squadron 134 flew? | 5 | NIv2 | task191_hotpotqa_question_generation | fs_opt | [
0.7602562308311462,
0.45964595675468445,
-0.9101995229721069,
1.0841898918151855,
0.4911094307899475,
-0.14795738458633423,
0.5844075083732605,
0.5778554081916809,
-0.07136280834674835,
0.3780328631401062,
-0.09773971140384674,
0.5435293912887573,
-1.007888913154602,
-0.08301451802253723,
... |
In this task, you are given a statement spoken by a politician in natural language. Your task is to generate the subject of the discussion for the given statement. The subject generated is not necessarily a part of the given input. Your answer should contain one or more words.
Example input: Says the Annies List polit... | energy | 3 | NIv2 | task613_politifact_text_generation | fs_opt | [
-0.390173077583313,
0.32780563831329346,
-0.11411155760288239,
-0.34955736994743347,
-0.5706212520599365,
-1.073144793510437,
0.63068687915802,
0.5631458163261414,
0.3102249503135681,
0.6703569889068604,
-0.4227481484413147,
0.3521684408187866,
-0.4364575743675232,
-0.39006274938583374,
... |
Given a scientific question, generate a correct answer to it.
[EX Q]: A pedigree is a chart which shows the inheritance of a trait over several what?
[EX A]: generations
[EX Q]: Mixtures that have the same composition throughout are known as what kinds of mixtures?
[EX A]: homogeneous
[EX Q]: The zygote undergoes ma... | uterus
| 6 | NIv2 | task591_sciq_answer_generation | fs_opt | [
0.002715560607612133,
0.5153879523277283,
-0.3081948459148407,
-0.11515836417675018,
-0.37088143825531006,
-0.7995860576629639,
0.4855460524559021,
-0.30866187810897827,
-0.23074260354042053,
-0.2563527226448059,
-0.316828191280365,
0.13276603817939758,
-0.2505764365196228,
0.7109827399253... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a context passage, followed by a question that needs to be answered. Based on the paragraph, you must write unambiguous answers to the questions and your answer must refer to a specific phrase from the paragraph. If ... | have fun | 1 | NIv2 | task595_mocha_answer_generation | fs_opt | [
0.2516752779483795,
0.7166968584060669,
-0.007455992512404919,
0.5500079393386841,
0.0930091142654419,
0.12272676080465317,
0.597183108329773,
0.41704022884368896,
0.3364400267601013,
0.24591262638568878,
-0.37103739380836487,
-0.25329774618148804,
0.18508410453796387,
0.03428483009338379,... |
In this task, you will be presented with a context passage, a question about that paragraph, and a possible answer to that question. The task is to check the validity of the answer. Answer with "Yes" or "No".
--------
Question: { { Plot } } Tom plays pool in a deserted pool hall , pocketing two balls by lowdown means a... | Yes
| 7 | NIv2 | task1392_superglue_multirc_answer_verification | fs_opt | [
0.5756492614746094,
0.20156081020832062,
-0.7741020917892456,
0.030345594510436058,
0.3388732075691223,
-0.18488594889640808,
0.3167443871498108,
1.178513765335083,
0.17631979286670685,
0.5639990568161011,
-0.4426594078540802,
0.8265978097915649,
-0.935456395149231,
0.27667534351348877,
... |
Detailed Instructions: In this task, you are given a sentence which is either in the Hindi language or English language. You task is to identify the language of input sentence. Input sentence can be in Hindi or English language only and also it cannot have two languages at a time.
Q: They will do this both by providing... | English | 9 | NIv2 | task427_hindienglish_corpora_hi-en_language_identification | zs_opt | [
-0.6993020176887512,
0.3785129189491272,
0.8100371360778809,
-0.14593884348869324,
0.21381551027297974,
-0.7955477833747864,
0.14779630303382874,
0.655845046043396,
0.24593818187713623,
-0.4569317102432251,
-0.14689350128173828,
-0.1428823471069336,
-0.060106199234724045,
-0.33264029026031... |
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.
Input: Consider Input: Extended stays in zero... | Output: response time
| 2 | NIv2 | task592_sciq_incorrect_answer_generation | fs_opt | [
-0.10770653188228607,
1.016333818435669,
-0.4401160478591919,
-0.37698256969451904,
-0.14420509338378906,
-0.7335119843482971,
0.10708491504192352,
-0.16386297345161438,
0.17045624554157257,
-0.16107326745986938,
-0.1287384182214737,
0.21670934557914734,
-0.6204094886779785,
-0.93582570552... |
Instructions: You will be given a context and a verb separated with a newline character, and you have to answer if the given verb can be anchored in time or not. We say a verb can be anchored in the real timeline if and only if a verb happened in the past, is happening now, or is guaranteed to happen in the future. The... | Yes | 3 | NIv2 | task383_matres_classification | zs_opt | [
0.1575358510017395,
0.758755087852478,
0.47059816122055054,
0.3119652569293976,
-0.7263696193695068,
-0.11089720577001572,
0.28711315989494324,
0.9318298101425171,
0.3320213556289673,
-0.10066187381744385,
-0.09941506385803223,
0.15845850110054016,
-0.41260913014411926,
0.3641968369483948,... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into English.
See one example below:
Problem: Perché? Perché quel profitto fa sì che qualunque soluzione da noi creata sia infinitamente riproducibile su scala.
Solution: Why? Because that profit allows whatever so... | And we are in a long, long line of organisms to come to this planet and ask ourselves, "How can we live here gracefully over the long haul?" | 4 | NIv2 | task1247_ted_translation_it_en | fs_opt | [
-0.23323655128479004,
0.7323395013809204,
0.49369722604751587,
-0.24229611456394196,
-0.5343474745750427,
-1.2753238677978516,
-0.3108615279197693,
0.7221599221229553,
0.3481171131134033,
0.49243152141571045,
-0.2952321469783783,
0.7951961755752563,
-1.1173771619796753,
0.06078040599822998... |
Detailed Instructions: 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.
Q: ผู้หญิงคนหนึ่ง ไรแอนน์ ฟัลท์ ถูกทำให้ไม่สามารถเคลื่อนไหวหน้าจอได้โดยรูปที่ปรากฎขึ้นให้เห็นอย่างรวดเร็ว ซึ่งเธอถือว่าเป็นการโ... | RyAnneFultzという1人の女性は、彼女の11才の息子がなんとかして彼女にスクリーンを見るのを止めさせて、フラッシュ映像を閉じることができるまで、彼女が1年間で最悪の攻撃だと言うフラッシュ映像によって、体が麻痺した。 | 9 | NIv2 | task1128_alt_th_ja_translation | zs_opt | [
0.05234216898679733,
0.5680254101753235,
-0.6970173120498657,
-0.012121608480811119,
-0.2861117124557495,
-0.20031791925430298,
0.3964892327785492,
0.8685301542282104,
0.23731568455696106,
0.0363188162446022,
-0.18923626840114594,
0.7139542102813721,
-1.1043713092803955,
0.6311569213867188... |
Teacher: In this task, you will be given a list. The list is several integers and letters separated with a comma, written within a []. You can create new lists by dropping one of the items in the input list. Your task is to write a list containing all the possible lists you can make by dropping one item from the input... | [['S', 'g', 'E'], ['S', 'g', 'E'], ['S', 'E', 'E'], ['g', 'E', 'E']] | 2 | NIv2 | task208_combinations_of_list | fs_opt | [
0.04559219628572464,
-0.3356785774230957,
-0.5092566609382629,
0.1212092712521553,
0.5918883085250854,
-0.9338890910148621,
0.17283061146736145,
0.9399020075798035,
-0.7481127381324768,
0.2895655333995819,
0.07721560448408127,
0.15478649735450745,
-0.02470528334379196,
-0.6135125160217285,... |
Instructions: Given an entity, a before event, an after event, and an attribute related to the entity, generate a sentence as output. Your sentence should show the changes in the attribute of the entity.
Input: entity: you
before: calm
after: having fun
attr: mood
Output: | mood of you was calm before and having fun afterwards | 3 | NIv2 | task1631_openpi_answer_generation | zs_opt | [
-0.5503532290458679,
0.48468804359436035,
-0.3014456033706665,
-0.4130406975746155,
-0.6163486242294312,
-1.9570119380950928,
0.24956636130809784,
-0.03949594870209694,
0.5677624344825745,
-0.30165594816207886,
0.22438859939575195,
0.026869233697652817,
-0.8898730278015137,
-0.470026105642... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish.
"" Consigo dominar o choque do "" O Jogo de Lágrimas "" com o espanto "" de uma criança chamada de vítima da SIDA por um rufia que não sabia "" que tinha sido o seu pai a passá-la à minha mãe "" e isso é um trocadilh... | Yo puedo dominar el choque de "" The Crying Game "" con el asombro de un niño acusado de víctima del SIDA por un agresor que no sabía que fue su padre quien se lo contagió a mi madre, y eso es doble sentido. | 0 | NIv2 | task1276_ted_translation_pt_es | zs_opt | [
-0.4846254289150238,
0.34059232473373413,
-0.4730565547943115,
-0.706727147102356,
-0.7715410590171814,
-0.24638980627059937,
0.3160219192504883,
1.231374979019165,
0.7790992259979248,
-0.8065546751022339,
-0.11933383345603943,
0.5233180522918701,
-1.0215158462524414,
0.4490758180618286,
... |
Instructions: In this task, you are given concept set (with 3 to 5 concepts) that contain mentions of names of people, places, activities, or things. These concept sets reflect reasonable concept co-occurrences in everyday situations. All concepts given as input are separated by "#". Your job is to generate a sentence ... | small boat enters the port | 3 | NIv2 | task102_commongen_sentence_generation | zs_opt | [
0.20837950706481934,
-0.1126241460442543,
-0.8517789840698242,
-0.044617705047130585,
-0.23734697699546814,
-1.025646686553955,
0.4431878328323364,
0.5133862495422363,
-0.2599003314971924,
0.05802132934331894,
-0.18016353249549866,
-0.04538440704345703,
0.11758902668952942,
-0.203764989972... |
Detailed Instructions: Given a passage, write a short incorrect summary based on the passage.
Problem:celtic midfielder paul hartley launched a passionate defense of scottish football on friday after another week of european misery .
Solution: | dollar at ###.##-## yen in early tokyo trading | 8 | NIv2 | task1579_gigaword_incorrect_summarization | zs_opt | [
0.7203802466392517,
1.6044459342956543,
-0.913724422454834,
-0.08010806888341904,
-0.37428730726242065,
-1.3024978637695312,
0.7382226586341858,
-0.9102061986923218,
-0.10874408483505249,
-0.833393931388855,
0.055033113807439804,
0.49458783864974976,
-0.7723687887191772,
-0.190493240952491... |
Given a comment text in Malayalam, classify the comment into one of these categories (i) Hope speech, (ii) Not Hope Speech or (iii) Not in Expected Language. A hope speech contains content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion
One example is below.
Q: നിങ്... | Not in Expected Language | 9 | NIv2 | task681_hope_edi_malayalam_text_classification | fs_opt | [
-0.25743454694747925,
0.018928740173578262,
0.5830475091934204,
-0.22515495121479034,
-0.41780945658683777,
-0.8097269535064697,
-0.5426647067070007,
0.6154119968414307,
-0.67528235912323,
0.2615233361721039,
-0.31136393547058105,
0.10696130245923996,
-0.37414100766181946,
-0.4011182487010... |
Detailed Instructions: In this task, given a sentence in the Bengali language, your task is to convert it into the English language.
Problem:২০ থেকে ২৫জনের মত আহত হয়েছে, এবং ব্যাপক সংখ্যকের হদীস পাওয়া যায়নি।
Solution: | 20 to 25 people have been injured, just as many are missing. | 8 | NIv2 | task546_alt_translation_bg_en | zs_opt | [
0.3173838257789612,
0.5309628248214722,
0.004811416380107403,
-0.5452672839164734,
-0.2513810992240906,
-0.5226544141769409,
0.5293949842453003,
0.6581041812896729,
0.21462292969226837,
-0.4467526376247406,
-0.75164395570755,
0.41498297452926636,
-0.5636124610900879,
0.11294585466384888,
... |
Detailed Instructions: In this task, you will be presented with a question and you have to answer the question based on your knowledge. Your answers should be as short as possible.
Problem:What 's the middle name of the person who graduated a year after the person who discovered something with Thomas Bopp ?
Solution: | Blackburn | 8 | NIv2 | task344_hybridqa_answer_generation | zs_opt | [
0.3526912331581116,
0.9759618639945984,
-0.27540332078933716,
-0.17375548183918,
-0.4737543761730194,
-1.0341999530792236,
0.07276977598667145,
-0.4149911105632782,
0.819161057472229,
-0.3858615756034851,
-0.39726027846336365,
0.8064261674880981,
-0.88694828748703,
-0.2834455370903015,
0... |
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 not change any ... | PersonX had more friendships than PersonY had because _ was a much more shy person. | 4 | NIv2 | task035_winogrande_question_modification_person | zs_opt | [
1.0822104215621948,
0.26925867795944214,
-0.12071734666824341,
-0.1891888678073883,
0.2719864845275879,
-1.1386139392852783,
1.6486732959747314,
0.5356709957122803,
-0.28034481406211853,
-0.8653010725975037,
-0.34602904319763184,
0.1709451973438263,
-0.8247402310371399,
0.40669912099838257... |
In this task, you are given a post in English from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it should be labeled as... | Non-hateful
| 5 | NIv2 | task333_hateeval_classification_hate_en | fs_opt | [
-0.4374535381793976,
0.15613779425621033,
0.6972800493240356,
0.93988037109375,
0.0077611105516552925,
-0.39898139238357544,
0.5737476348876953,
0.8403375148773193,
0.6623573303222656,
0.5882937908172607,
-0.01005285233259201,
0.5529862642288208,
-0.4757305085659027,
-0.5082230567932129,
... |
In this task, you are given Twitter posts. Your task is to label the post's emotion (as expressed by the user) as sadness, joy, love, anger, fear, or surprise.
Q: i start an aimless internet search when im feeling curious
A: surprise
****
Q: i feel curious about the subject matter
A: surprise
****
Q: i finally feel ... | joy
****
| 4 | NIv2 | task512_twitter_emotion_classification | fs_opt | [
-1.3225412368774414,
0.23198094964027405,
0.3795015215873718,
0.15122729539871216,
-0.05879872292280197,
-0.5447127819061279,
0.44410833716392517,
0.31479310989379883,
0.5412333011627197,
0.263716459274292,
0.1449177861213684,
-0.31750157475471497,
-0.9791240692138672,
0.250263512134552,
... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
Redefinió el propósito de la medicina. | הוא בנה מחדש את המטרה המדוייקת של הרפואה. | 0 | NIv2 | task1229_ted_translation_es_he | zs_opt | [
-0.7985490560531616,
0.09928350150585175,
-0.058458082377910614,
-0.79052734375,
-0.12500648200511932,
0.16384217143058777,
0.8253506422042847,
-0.3499775528907776,
1.2514694929122925,
-0.5076656341552734,
-0.38289931416511536,
0.2873550057411194,
-0.6222344636917114,
0.37757036089897156,
... |
In this task, you will be shown a Persian passage and question. You need to write a answer for the question. Try to keep your answers as short as possible.
دانشگاه شهید بهشتی یکی از معتبرترین دانشگاههای دولتی ایران است که در منطقهٔ اوین، غرب ولنجک و شرق درکه در شمال غربی شهر تهران واقع شدهاست. دانشگاه شهید بهشتی دار... | دانشگاه ملی ایران | 0 | NIv2 | task395_persianqa_answer_generation | zs_opt | [
-0.4918590784072876,
0.01203729584813118,
-0.44263899326324463,
-0.0511837899684906,
-0.8140181303024292,
0.4964298903942108,
0.19726309180259705,
0.234327033162117,
0.24688902497291565,
0.06871359795331955,
-0.7003546953201294,
0.5208207964897156,
-0.03610006719827652,
0.39152732491493225... |
Q: 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 ... | 32415 | 7 | NIv2 | task300_storycloze_order_generation | zs_opt | [
-0.25222647190093994,
0.8287023305892944,
0.149806410074234,
-0.9043943881988525,
0.1082858145236969,
-0.5931405425071716,
0.2729947865009308,
0.8566557168960571,
-0.4374714493751526,
-0.03601894527673721,
-0.8514754772186279,
-0.31376704573631287,
-0.7652681469917297,
0.12455668300390244,... |
Given the task definition and input, reply with output. In this task, you are given a sentence in English, and your task is to translate it into Persian.
what are you telling me for .
| چرا اينو به من ميگي . | 5 | NIv2 | task658_tep_en_fa_translation | zs_opt | [
-0.7122661471366882,
1.0047554969787598,
-0.104642353951931,
-0.06524398177862167,
-0.2959548234939575,
-0.6382250785827637,
-0.031454384326934814,
0.23753437399864197,
0.6174049973487854,
0.15644124150276184,
-0.36261680722236633,
0.6913313865661621,
-0.2225695550441742,
0.336891859769821... |
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 pr... | Johann Wolfgang Dobereiner | 2 | NIv2 | task582_naturalquestion_answer_generation | fs_opt | [
0.3065163195133209,
0.20160937309265137,
0.022176571190357208,
0.20631110668182373,
-0.3544526696205139,
-0.845209002494812,
0.7692509293556213,
0.4546564817428589,
-0.19098645448684692,
0.00697528850287199,
-0.6706451177597046,
-0.06563805043697357,
-0.1642644852399826,
-0.350658744573593... |
Detailed Instructions: The task is to generate text based off of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons intent behind doing the event, i.e. why did the person do that action.
Q: PersonX puts PersonX's ___ away
A: | to be helpful | 9 | NIv2 | task1596_event2mind_text_generation_2 | zs_opt | [
-0.2666417956352234,
0.43387341499328613,
-0.08555968105792999,
-0.5639060735702515,
-0.911095380783081,
-1.22310471534729,
0.5980873107910156,
0.3692997395992279,
0.586267352104187,
-0.19174665212631226,
-0.049071505665779114,
0.00891094096004963,
-0.6140309572219849,
0.6152383089065552,
... |
Instructions: In this task, you need to reverse the order of words in the given sentence.
Input: Sentence: a black white and red airplane and some people
Output: | people some and airplane red and white black a | 3 | NIv2 | task376_reverse_order_of_words | zs_opt | [
0.09534494578838348,
1.2263317108154297,
-0.6914734840393066,
-1.0266444683074951,
-0.16859397292137146,
0.4654470682144165,
0.6166449189186096,
0.6360573768615723,
0.2675308287143707,
-0.1897563487291336,
-0.7606954574584961,
-0.30083128809928894,
0.08216013014316559,
-0.5676796436309814,... |
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.
16, ['N', '1631', 'm', '3453', '6559', '8403', 'P', 'o', 'V', 'N', 'q', '9131', 'n', 'p', 'B', 'U', '8919', '6675', '7773', 'D', 'M', '3399', '5865', 'O', 'n', '8447'... | N, 8919, 4061, r | 0 | NIv2 | task1542_every_ith_element_from_starting | zs_opt | [
0.34652483463287354,
-0.26142314076423645,
-0.6876335144042969,
-0.6970227360725403,
-0.4604685604572296,
-0.12124041467905045,
0.7112872004508972,
0.308175265789032,
0.394992470741272,
-0.12610745429992676,
-0.3015865385532379,
0.11800046265125275,
-0.1553855836391449,
-0.0238605961203575... |
TASK DEFINITION: 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 c... | SELECT avg(campusfee) FROM csu_fees WHERE YEAR = 1996
| 8 | NIv2 | task076_splash_correcting_sql_mistake | fs_opt | [
0.27774906158447266,
0.574601411819458,
-1.4026446342468262,
0.3407233953475952,
-0.020895764231681824,
-0.1544564664363861,
0.8540789484977722,
0.9961561560630798,
-0.2578715682029724,
0.4528936445713043,
0.4669865071773529,
0.21660910546779633,
0.050807252526283264,
0.41971471905708313,
... |
Teacher:In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A preceding the last i elements. i will always have a value less than the length of A.
Teacher: Now, understand the problem? Solve this instance: 6, ['2007', 'k', 'O', 'O', '3167', '775', '417... | 2007, k, O, O, 3167, 775, 4171, 3231, 5837, d, S, 4953, 2145, 5385 | 6 | NIv2 | task078_all_elements_except_last_i | zs_opt | [
-0.8005081415176392,
1.2121129035949707,
-0.3635748326778412,
-0.7171652913093567,
-0.7986143231391907,
-0.4313470423221588,
0.4887344241142273,
0.41500210762023926,
0.35774749517440796,
0.29932790994644165,
-0.01406501978635788,
-0.2844012975692749,
0.08403342962265015,
0.2947652339935303... |
Detailed Instructions: In this task you will be given a list of integers. You should find the minimum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the smallest possible absolute dist... | 3 | 4 | NIv2 | task1445_closest_integers | fs_opt | [
-0.6874135732650757,
0.24608451128005981,
0.026575405150651932,
-0.07546630501747131,
-0.050401441752910614,
-0.3922659456729889,
0.9251673817634583,
0.1470717489719391,
0.1379985809326172,
-0.07920201122760773,
-0.3350028395652771,
-0.3413740396499634,
-0.5443875789642334,
-0.264760941267... |
Detailed Instructions: In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to arrange the sentences in order to make a story that makes complete sense and is apt for the title. Indicate your answer using the number of the sentences in order, such as '34152'.
P... | 45321 | 8 | NIv2 | task217_rocstories_ordering_answer_generation | zs_opt | [
0.23571443557739258,
0.40505915880203247,
0.13705065846443176,
-0.38767826557159424,
-0.17061017453670502,
-0.04984348639845848,
0.4129973351955414,
0.8585468530654907,
0.2520848512649536,
0.49580907821655273,
-0.44755882024765015,
-0.3673635423183441,
-1.1379265785217285,
-0.0398473739624... |
In this task you will be given a list of numbers. You should remove any number that is not an integer (whole number). If every number is not an whole number then an empty list ("[]") should be returned. Otherwise, answer with the list of whole numbers separated by comma inside brackets.
Ex Input:
[3.884, 41, 100, -45.... | [-16]
| 1 | NIv2 | task367_synthetic_remove_floats | fs_opt | [
-0.5299762487411499,
0.11743961274623871,
-0.5057804584503174,
-0.439907431602478,
-0.30303552746772766,
0.04888720065355301,
0.8606911301612854,
0.30713263154029846,
-0.10498972237110138,
0.34411507844924927,
-0.6556829810142517,
0.5276769399642944,
-0.19814464449882507,
-0.31275215744972... |
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. New information can be introduced. Avoid using pronoun... | A girl puts on makeup. | 8 | NIv2 | task188_snli_neutral_to_entailment_text_modification | fs_opt | [
-0.07957734167575836,
0.9205618500709534,
0.7083868980407715,
-0.6587226390838623,
0.2007436752319336,
-0.25418907403945923,
-0.6321958303451538,
0.6148717403411865,
0.25078341364860535,
-0.05889653414487839,
-0.7521920204162598,
-0.20686030387878418,
-0.4377531111240387,
-0.42574167251586... |
Part 1. Definition
You are given a paragraph, with numbered sentences, and a question. Write the numbers of the sentences needed to answer the given question. Separate multiple sentence numbers with a comma (", "). E.g. "1, 2" would be the correct response if Sent 1 and Sent 2 are needed to answer the given question (d... | 11, 12. | 7 | NIv2 | task049_multirc_questions_needed_to_answer | fs_opt | [
0.22532431781291962,
-0.39897477626800537,
-0.5117096304893494,
-0.09164855629205704,
0.15704911947250366,
0.23268671333789825,
0.43097805976867676,
1.0485161542892456,
-0.23226749897003174,
0.13931748270988464,
-0.7549006938934326,
0.12242834270000458,
-0.9579204320907593,
-0.048437859863... |
This task is about identifying the object of a given sentence. The object of a sentence is the person or thing that receives the action of the verb. It is the who or what that the subject does something to. Each sentence in this task is guaranteed to contain a single object. The input is a sentence and the output is th... | Mamnoon Hussain | 6 | NIv2 | task1413_dart_object_identification | fs_opt | [
-0.40890973806381226,
0.8639348149299622,
0.2603060007095337,
-0.4281703233718872,
-0.6900648474693298,
-0.09145962446928024,
1.2407455444335938,
0.2915286719799042,
0.22375470399856567,
0.11473408341407776,
-0.9521613121032715,
-0.008025354705750942,
-1.0860981941223145,
0.379868924617767... |
Given the task definition and input, reply with output. In this task, you are given a question. Your task is to generate an answer that is relevant to the question.
Do you read newspapers?
| I'm subscribed to the New York Times and Washington Post. | 5 | NIv2 | task565_circa_answer_generation | zs_opt | [
-0.6569222807884216,
0.751736581325531,
0.05597923696041107,
0.18825283646583557,
0.08571428060531616,
-0.44108957052230835,
0.4852808117866516,
-0.4662736654281616,
0.35304969549179077,
-0.11253195255994797,
-1.0946937799453735,
-0.05859052762389183,
-0.6337460279464722,
0.222528338432312... |
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... | Yes
| 3 | NIv2 | task1204_atomic_classification_hinderedby | fs_opt | [
1.2655940055847168,
-0.150852233171463,
0.10029922425746918,
-0.1788272112607956,
-0.12193852663040161,
-1.0458333492279053,
0.6683932542800903,
0.7416373491287231,
-0.8991989493370056,
-0.30470532178878784,
-1.0338504314422607,
-0.21706317365169525,
-0.5089200735092163,
0.3091084361076355... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to you... | how many missles were heard exploding? | 1 | NIv2 | task240_tweetqa_question_generation | fs_opt | [
0.2908202111721039,
0.522515594959259,
-0.28548306226730347,
-0.34926915168762207,
0.7223071455955505,
-0.5299023389816284,
0.6988255977630615,
0.9884849786758423,
-0.20355364680290222,
-0.2769092321395874,
-0.38091009855270386,
0.6598376631736755,
-0.06722226738929749,
0.14991910755634308... |
Definition: 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 empty list. Yo... | [2, 5, 9] | 2 | NIv2 | task098_conala_list_intersection | zs_opt | [
0.11956648528575897,
-0.03335681930184364,
-0.4540029764175415,
-0.1826295107603073,
0.3007456064224243,
0.46235495805740356,
0.2370268702507019,
0.27939045429229736,
0.14702275395393372,
0.22364796698093414,
-0.7066165208816528,
-0.3032950758934021,
-0.4198887348175049,
0.4722477197647095... |
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 list all elements of A from the ith element to the jth element in the reverse order. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
Teacher... | h, 9221, z, 2593 | 2 | NIv2 | task099_reverse_elements_between_index_i_and_j | fs_opt | [
0.20164772868156433,
-0.3850335478782654,
-0.2308436930179596,
-0.5867718458175659,
-0.015897393226623535,
-1.1813604831695557,
0.8321183323860168,
0.31884312629699707,
-1.0081501007080078,
-0.06937459856271744,
-0.8644328117370605,
0.051829688251018524,
0.32480084896087646,
-0.31129080057... |
Detailed Instructions: 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 alphabetical elements in the given list. Return 0 if no alphabetical element in the list
Q: ['5181', '7757', 'E', 'z', 'y', 'A', '895', '491', ... | 16 | 9 | NIv2 | task504_count_all_alphabetical_elements_in_list | zs_opt | [
-0.13436396420001984,
-0.059657108038663864,
0.24710966646671295,
-0.547623336315155,
0.465867817401886,
-0.9754436612129211,
0.33779990673065186,
-0.35282522439956665,
-1.049501895904541,
0.17650705575942993,
-0.7798513770103455,
0.01651667430996895,
0.06796900928020477,
-0.40522915124893... |
instruction:
The input contains a debate topic, an argument on the topic and a keypoint, separated by "<sep>". Your task is to answer if the keypoint matches the argument and summarizes exactly what the argument means, in the context of the given topic.
question:
Topic: We should legalize cannabis<sep>Argument: Cannabi... | False
| 9 | NIv2 | task1285_kpa_keypoint_matching | fs_opt | [
0.10185486823320389,
0.513357937335968,
-0.10851654410362244,
-0.3421311676502228,
0.04986902326345444,
-0.7177937030792236,
0.14716099202632904,
0.8252778053283691,
0.24269428849220276,
0.5023441314697266,
-0.4419183135032654,
-0.11521982401609421,
-0.3683556020259857,
-0.3121242225170135... |
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, choose the closes... | Sports
| 7 | NIv2 | task379_agnews_topic_classification | fs_opt | [
-1.1160228252410889,
0.0543246790766716,
-0.32599374651908875,
0.8555439710617065,
0.16482846438884735,
-0.08915877342224121,
-0.9732335805892944,
0.16625696420669556,
-0.17274928092956543,
0.18837383389472961,
-0.2830007076263428,
0.5472683906555176,
0.16730667650699615,
0.199440330266952... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
Let me give you an example: 私たちはただひたすら歌い続けましたすると驚くことに信頼が芽生え友情が花開いたのです
The answer to this example can be: ما آواز خوندیم ، و خوندیم ، آواز خونديم ، و بطور شگفت انگیزی اعتماد جدید رشد کرد ، و درواقع دوستی شکوفه زد.
Here is w... | حدود یک تریلیون سلول بدن هر یک از ما را می سازد این سلولها اینکه ما کی هستیم و چه کار می توانیم بکنیم را مشخص می کنند. اما در هر زمان ده تریلیون باکتری درون بدن یا روی بدن شما زندگی می کنند. | 8 | NIv2 | task1098_ted_translation_ja_fa | fs_opt | [
0.49671462178230286,
0.9325531125068665,
-0.4307584762573242,
-0.16388507187366486,
-0.4845247268676758,
-0.6276708245277405,
1.0685338973999023,
-0.5155901908874512,
-0.1394423544406891,
-0.42656320333480835,
-0.9166297912597656,
0.4128062427043915,
-0.9818893671035767,
0.4896931052207947... |
Definition: You are given a sentence in Galician. Your job is to translate the Galician sentence into Italian.
Input: É multimillonario. Creo que por iso está sorrindo nesta foto.
Output: | E 'un multi-milionario, e credo che questo sia il motivo per cui sorride in questa fotografia. | 2 | NIv2 | task1243_ted_translation_gl_it | zs_opt | [
-0.5745612382888794,
0.626285970211029,
-0.1411864459514618,
-0.871417224407196,
-0.3220401704311371,
-0.5324353575706482,
-0.0429227352142334,
0.7442821860313416,
0.4409513473510742,
-0.7539786100387573,
-0.6606735587120056,
0.30248209834098816,
0.0033273447770625353,
0.693586528301239,
... |
Read the given text and if it has abusive content then indicate via "yes". Otherwise indicate via"no".
We consider the content to be abusive if it contains any of the following instances: (1) Identity Directed Abuse (e.g., Content which contains a negative statement made against an identity. An identity is a social ca... | no | 4 | NIv2 | task108_contextualabusedetection_classification | zs_opt | [
-0.26851314306259155,
0.137119859457016,
0.39385154843330383,
0.24394845962524414,
-0.12616632878780365,
-0.6258161067962646,
0.7556192874908447,
0.32808393239974976,
-0.04170583561062813,
0.431295782327652,
0.12202581018209457,
-0.6640588045120239,
-0.5364733338356018,
-0.5608850121498108... |
Detailed Instructions: In this task, you need to reverse all words of a given length in the sentence. The number of letters in a word determine its length. For example, the length of the word "apple" is 5.
Q: Sentence: 'a boy sits on a brick wall while holding his skateboard'. Reverse all words of length '2' in the giv... | a boy sits no a brick wall while holding his skateboard | 9 | NIv2 | task378_reverse_words_of_given_length | zs_opt | [
0.06223725154995918,
0.756125807762146,
-0.03404747322201729,
-0.713599443435669,
-0.33838552236557007,
-0.5369102954864502,
0.05393923819065094,
0.6740614175796509,
0.2685506343841553,
-0.28630495071411133,
-0.7844902873039246,
0.3095610439777374,
-0.640140175819397,
-0.06509532779455185,... |
Given the task definition, example input & output, solve the new input case.
In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.
Example: Questions are gathered fr... | What dataset/corpus is this work evaluated over? | 1 | NIv2 | task461_qasper_question_generation | fs_opt | [
-0.6206541061401367,
-0.47940295934677124,
-0.2594251036643982,
0.7636841535568237,
0.5459940433502197,
-0.008098127320408821,
0.3467365503311157,
0.7900829315185547,
-0.1723077893257141,
0.4279908537864685,
-0.2586972713470459,
-0.33233290910720825,
-0.08936481922864914,
0.329600632190704... |
In this task, you are given Twitter posts. Your task is to label the post's emotion (as expressed by the user) as sadness, joy, love, anger, fear, or surprise.
Q: im feeling very bitter against knight in shining denim because i asked him a year ago to go to the gym with me and he wouldnt spend the money
A: | anger | 4 | NIv2 | task512_twitter_emotion_classification | zs_opt | [
-0.9330806732177734,
0.29922616481781006,
0.0438188835978508,
-0.379901647567749,
-0.17592813074588776,
-1.0302305221557617,
-0.005823663901537657,
-0.10327465087175369,
-0.029916658997535706,
0.15202490985393524,
0.14236702024936676,
0.16126078367233276,
-1.4285366535186768,
0.25556874275... |
Teacher:We would like you to assess the QUALITY of each of the following argument (discussing Death Penalty) and determine if the argument is Valid or Invalid. A valid argument is clearly interpretable and either expresses an argument, or a premise or a conclusion that can be used in an argument for the topic of death ... | Valid | 6 | NIv2 | task149_afs_argument_quality_death_penalty | zs_opt | [
0.18060988187789917,
0.5531924962997437,
0.7123023271560669,
-0.09972475469112396,
-0.6614494323730469,
-2.0804009437561035,
0.7167256474494934,
0.5800433158874512,
0.019100937992334366,
0.2339147925376892,
-0.12199385464191437,
-0.5520447492599487,
-0.5631194710731506,
0.24589353799819946... |
Q: 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 an... | Option E | 7 | NIv2 | task750_aqua_multiple_choice_answering | zs_opt | [
-0.002960048383101821,
0.6682134866714478,
-0.15564633905887604,
-1.0363553762435913,
0.033461425453424454,
-0.12910324335098267,
0.3503807485103607,
0.9326196908950806,
0.49831756949424744,
-0.5939121246337891,
-0.20387402176856995,
0.034662891179323196,
-0.6311045289039612,
-0.1158203929... |
Given the task definition and input, reply with output. In this task, you will be presented with a question in Persian. Based on the knowledge you need to answer the question, classify the question into "math_and_logic", "literature", or "common_knowledge".
رابطه تار با پود مثل رابطه :
| literature | 5 | NIv2 | task474_parsinlu_mc_classification | zs_opt | [
-0.845978319644928,
0.7551491856575012,
-0.012397969141602516,
0.18600371479988098,
-0.4167177677154541,
0.0030874621588736773,
0.5446195006370544,
-0.20710232853889465,
0.39129167795181274,
-0.5146073698997498,
-0.5126374363899231,
0.6407065987586975,
-0.6134190559387207,
0.29283317923545... |
In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each citing text. The correct ... | (D) | 6 | NIv2 | task268_casehold_legal_answer_generation | fs_opt | [
1.0591647624969482,
0.11102977395057678,
-0.3686647117137909,
-0.31881824135780334,
0.2522030472755432,
-0.7617166042327881,
0.5163061618804932,
1.0827865600585938,
-0.29748988151550293,
-0.005328156054019928,
-0.5758557915687561,
0.21985074877738953,
-0.49295318126678467,
0.13488528132438... |
Teacher:In this task, you are given a sentence and your task is to identify whether the sentence contains motion or not, by classifying the sentence into Yes or No. The sentence belongs to the 'Yes' category if there is an occurrence of a motion of a physical entity otherwise the sentence belongs to the 'No' category. ... | Yes | 6 | NIv2 | task1517_limit_classfication | zs_opt | [
-0.37406450510025024,
-0.040798019617795944,
0.13371974229812622,
1.0238186120986938,
-0.3484850525856018,
-0.3930698037147522,
0.3278115391731262,
1.2530807256698608,
0.14204388856887817,
-0.1670285165309906,
0.24762915074825287,
-0.48380669951438904,
-0.26659294962882996,
-0.304042100906... |
Given the task definition and input, reply with output. In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the gendered pronouns in the text and the other's gender is unidentifiable. You are expected to return whether the given profession's... | Identifiable | 5 | NIv2 | task351_winomt_classification_gender_identifiability_anti | zs_opt | [
-1.5268458127975464,
0.7564865350723267,
-0.12278313934803009,
-0.39962875843048096,
0.08467939496040344,
-0.24757020175457,
-0.30716925859451294,
0.33706143498420715,
0.6438678503036499,
0.2837967574596405,
-1.0078613758087158,
0.006597123108804226,
-0.016653776168823242,
-0.0454872697591... |
In this task, you are given a pair of action statements. Your task is to check if you can conclusively identify which statement is less ethical or not. Answer: 'no' if one of the statements is less ethical, and 'yes' otherwise.
ACTION1: using this disrespectful girl's recent death of her father against her ACTION2: ca... | yes | 0 | NIv2 | task508_scruples_dilemmas_more_ethical_isidentifiable | zs_opt | [
-0.2981172204017639,
0.5863173604011536,
0.3485252857208252,
0.08780106902122498,
-0.6092084646224976,
-0.5871982574462891,
0.18723353743553162,
1.1835877895355225,
0.3726099729537964,
0.6028829216957092,
-0.27961039543151855,
-0.36569976806640625,
-0.57874995470047,
-0.7417358160018921,
... |
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