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 |
|---|---|---|---|---|---|---|
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 describing a d... | morning mist rising from the forest | 8 | NIv2 | task102_commongen_sentence_generation | fs_opt | [
-0.18286633491516113,
0.3164255917072296,
-0.5086896419525146,
-0.5033217668533325,
-0.2993379235267639,
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0.4240768849849701,
0.7137327790260315,
0.21502530574798584,
-0.5452434420585632,
-0.6737167835235596,
0.3373491168022156,
-0.7660315632820129,
0.25508296489715576,
... |
Teacher:In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every odd number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no odd numbers in an inner list y... | [-49, -1395, -9, -31, 15275, -12369, 665, -495, -665, -455, 1813, 0, -95] | 6 | NIv2 | task852_synthetic_multiply_odds | zs_opt | [
-0.29516518115997314,
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-0.3571493625640869,
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-0.9915889501571655,
-0.739651620388031,
-0.3500908315181732,
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In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
Q: Context: Kendall is a hard worker and contributed to their success.
Answer: successful
A: How would Kendall feel afterwards?
****... | How would Jan feel as a result?
****
| 4 | NIv2 | task581_socialiqa_question_generation | fs_opt | [
-0.3492647409439087,
1.1764973402023315,
0.5664990544319153,
-0.7607759237289429,
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-0.027693863958120346,
-0.22922146320343018,
-0.9173129200935364,
0.06078220903873... |
Given the task definition and input, reply with output. In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. Once you create a question you also need to provide the correct answer for it. Write your answer like "Question: ... | Question: What is the name of the child that George mentors in the movie?, Answer: Pedro | 5 | NIv2 | task182_duorc_question_generation | zs_opt | [
0.27691829204559326,
0.5696870684623718,
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0.4412025213241577,
0.392728716135025,
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1.077359676361084,
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-0.15723758935928345,
-0.04353323578834534,
0.3909836411476135,
-0.42018961906433105,
0.3538375794887543... |
In this task you are given a sentence with one coordinating conjunction (for, and, nor, but, or, yet, and so). You must judge whether the order of two coordinated clausal conjoints have been inverted or not. Inversion would result in the sentence sounding unnatural. Label the instances as "Original" or "Inversion" base... | Original | 4 | NIv2 | task516_senteval_conjoints_inversion | zs_opt | [
-0.04813055694103241,
0.7730909585952759,
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-0.22453191876411438,
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Instructions: 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.
Input: Question: Does partial meniscectomy in the presence of... | no | 3 | NIv2 | task846_pubmedqa_classification | zs_opt | [
0.4253233075141907,
0.36716943979263306,
-0.6280366778373718,
0.32491639256477356,
0.3949964642524719,
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0.6769886016845703,
0.908556342124939,
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0.21540898084640503,
-0.15796658396720886,
-0.17059208452701569,
-0.1103881299495697,
0.5250564813613892,
... |
In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.
[Q]: Sentence1: 'people gathered on the street dressed in costumes next to a rainbow sheet', Sentence2: 'a brown bull is standing in his pen and some trees'. Is the frequency of the word 'some' in two sentenc... | No
| 5 | NIv2 | task159_check_frequency_of_words_in_sentence_pair | fs_opt | [
0.0846211314201355,
0.24359646439552307,
-0.49196869134902954,
0.01574867032468319,
-0.04685163125395775,
-0.8627406358718872,
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1.1416269540786743,
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0.12321775406599045,
-0.5569332838058472,
-0.2180965691804886,
0.27686983346939087,
-0.15783745050430... |
Teacher: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.
Teacher: Now, understand the problem? If you are still confused, see the following example:
passage: Franchising is a way for small business owners to bene... | No | 2 | NIv2 | task380_boolq_yes_no_question | fs_opt | [
0.19251559674739838,
0.25250816345214844,
0.6779755353927612,
-0.3752165138721466,
0.0839742124080658,
0.514564037322998,
0.1000480055809021,
1.3597853183746338,
-0.17738938331604004,
-0.09679406136274338,
-0.09770400077104568,
0.05868605524301529,
-0.6327813863754272,
-0.20859871804714203... |
Definition: In this task you are given a sentence. You must judge whether there exist two consecutive words within the sentence with flipped orders, that is, whether the sentence will make sense and be correct if the order of two consecutive words changes. Label the instances as "Inversion" or "Original" based on your ... | Original | 2 | NIv2 | task428_senteval_inversion | zs_opt | [
-0.720655083656311,
0.10218679904937744,
0.2672373950481415,
0.23142382502555847,
-0.08207269757986069,
0.5349166393280029,
0.7142423391342163,
0.3826332688331604,
0.9041785001754761,
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-0.8759233951568604,
-0.6968332529067993,
-0.31477653980255127,
0.2669869065284729,
... |
Given the task definition and input, reply with output. In this task, you need to reverse the order of words in the given sentence.
Sentence: t train rounds the corner near a train stop
| stop train a near corner the rounds train t | 5 | NIv2 | task376_reverse_order_of_words | zs_opt | [
-0.1384037882089615,
1.3917341232299805,
0.18478316068649292,
-0.08415200561285019,
0.03319957107305527,
0.4657838046550751,
0.06868954747915268,
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0.29852792620658875,
-0.32607024908065796,
-0.9220821261405945,
-0.14297114312648773,
0.010312318801879883,
0.207481831312... |
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 B
| 0 | NIv2 | task750_aqua_multiple_choice_answering | fs_opt | [
-0.11011059582233429,
-0.005409721285104752,
-0.6904133558273315,
-0.7553988695144653,
0.5309079885482788,
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0.25080186128616333,
0.7324601411819458,
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-0.764206051826477,
0.11453709006309509,
-0.24002483487129211,
-0.59826946258... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Translate the given Spanish text to English
A method for converting a series of m-bit information words to a modulated signal is described.
Solution: Se describe un método para convertir una serie d... | Un candado con un cilindro de bloqueo removible. | 0 | NIv2 | task840_para_pdt_en_es_translation | fs_opt | [
0.10698360949754715,
0.041021041572093964,
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-0.24411113560199738,
0.32613328099250793,
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0.5215266942977905,
0.5701045393943787,
0.5646167397499084,
-0.21501140296459198,
-0.16609695553779602,
0.250395804643631,
-0.18972234427928925,
0.255587160587310... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
Example Input: Il 43 percento dei giocatori sono donne.
Example Output: O 43 por cento dos xogadores son mulleres.
Example Input: Questa è per voi, giocatori di videogiochi d'azione.
Example Output: Isto é para os videox... | E o primeiro mito é que se pos todo da túa parte, entón podes vivir 100 anos.
| 3 | NIv2 | task1252_ted_translation_it_gl | fs_opt | [
-0.7972236275672913,
0.26835232973098755,
-1.2458183765411377,
-0.016528930515050888,
-0.0755428746342659,
-0.9122333526611328,
0.6857918500900269,
0.6836305856704712,
0.4003334641456604,
-0.2341891974210739,
-0.45988407731056213,
0.3307914137840271,
-0.09985750913619995,
-0.29545632004737... |
Detailed Instructions: Given a set of five words, generate the word from the set that does not belong (i.e. is the least relevant) with the other words. Words are separated by commas.
Q: ok, level, dishonest, unprejudiced, fair
A: | level | 9 | NIv2 | task142_odd-man-out_classification_no_category | zs_opt | [
0.18433833122253418,
0.7987889051437378,
0.04631660506129265,
-0.7329038381576538,
-0.06762285530567169,
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0.4688926935195923,
-0.16212815046310425,
0.365090548992157,
0.3183884918689728,
-0.7093355655670166,
0.6033869981765747,
-0.5813033580780029,
0.3017681837081909,
... |
You will be given a definition of a task first, then some input of the task.
Write an incorrect answer to the given question based on the associated fact. You are also provided with the correct answer to the given question. Make sure that your incorrect answer is relevant and similar to the associated fact. Also, try t... | fire. | 1 | NIv2 | task042_qasc_incorrect_option_generation | zs_opt | [
0.07962015271186829,
1.1595065593719482,
-0.1391374170780182,
0.30353718996047974,
0.02256600372493267,
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0.3010682463645935,
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-0.031177092343568802,
-1.031960129737854,
0.07787428796291351,
-0.4392525851726532,
0.1450244933366775... |
Detailed Instructions: Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast', 'biology', 'people', 'influence', 'baseball', 'space... | film | 8 | NIv2 | task900_freebase_qa_category_classification | zs_opt | [
0.0077891163527965546,
0.11320918798446655,
-0.21653103828430176,
-0.17202162742614746,
0.29987555742263794,
-0.7790698409080505,
-0.04502569139003754,
0.5070819854736328,
-0.0023463505785912275,
-0.0393444299697876,
-0.5599200129508972,
-0.07913502305746078,
-0.08584196865558624,
-0.13732... |
Detailed Instructions: In this task your given two statements in Estonian. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Q: Mehele ei antud laenu.
Ta oli võlgades.... | cause | 9 | NIv2 | task969_xcopa_commonsense_cause_effect_et | zs_opt | [
-0.47362369298934937,
0.7792373895645142,
0.3441945016384125,
-0.9753950834274292,
-0.233244389295578,
-0.20377391576766968,
0.5537905693054199,
1.4729838371276855,
0.745225191116333,
-0.06751729547977448,
-0.2500491142272949,
0.3120466470718384,
-1.063002586364746,
0.2813486158847809,
-... |
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to classify the genre of the sentences from the 10 options displayed. Indicate your answer by entering the number of the choice as 1-10.
Q: Sentence 1: yes i think most states do have capital punishment yes Sen... | 5 | 9 | NIv2 | task198_mnli_domain_classification | zs_opt | [
-0.86902916431427,
0.3102312982082367,
0.2992260456085205,
-0.15228794515132904,
-0.5537567138671875,
0.2314624935388565,
0.749638557434082,
1.1652331352233887,
-0.42458975315093994,
-0.041871197521686554,
-0.4097048044204712,
-0.3366944193840027,
-0.38525885343551636,
-0.3655708432197571,... |
Given the task definition, example input & output, solve the new input case.
In this task, you need to replace a letter in the sentence with another given letter.
Example: Sentence: 'group of motorcycle motorists trying to merge into traffic'. Replace the letter 'o' with 'n' in the sentence.
Output: grnup nf mntnrcycle... | a brown horse beinw huwwed by a woman | 1 | NIv2 | task160_replace_letter_in_a_sentence | fs_opt | [
-0.649201512336731,
0.6239302158355713,
-0.13943418860435486,
-0.6809357404708862,
0.28684818744659424,
-0.20973613858222961,
-0.3708859384059906,
0.6334430575370789,
0.1874469667673111,
-0.33945536613464355,
-0.48458200693130493,
-0.3098592460155487,
0.5861883163452148,
-0.678729772567749... |
Given the task definition and input, reply with output. In this task, you will be given a passage, a question and a list of single-word events identified from the passage. The goal is to point out all events from the given event list that can answer the question. If a question is unanswerable or none of the events answ... | ruled | 5 | NIv2 | task390_torque_text_span_selection | zs_opt | [
-0.0008172957459464669,
0.7396488189697266,
-0.5213515758514404,
-0.23446041345596313,
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0.4198768436908722,
-0.37095269560813904,
0.18629319965839386,
-0.46719422936439514,
0.43579855561256... |
instruction:
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
question:
Review: Watching Floored by Love one thought... | no
| 9 | NIv2 | task285_imdb_answer_generation | fs_opt | [
-0.020547233521938324,
0.2108483761548996,
-0.22346535325050354,
-0.024412577971816063,
0.7390049695968628,
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1.0365102291107178,
1.1817232370376587,
-0.5245975255966187,
0.15842290222644806,
-0.15623202919960022,
0.6667643189430237,
-0.2608598470687866,
0.1633729487657... |
Q: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Farsi.
שלדבורי הדבש יש הגנות טבעיות מעולות ששמרו על בריאותן ואיפשרו להן לשגשג במשך יותר מ-50 מיליון שנים.
A: | پس زنبورهای عسل این محافظ دفاعی عالی را دارند که آنها را بیشتر از ۵۰ میلیون سال است سالم و کامیاب نگه میدارد. | 7 | NIv2 | task1113_ted_translation_he_fa | zs_opt | [
-0.8970339298248291,
0.9703328013420105,
0.06418485939502716,
-0.3457739055156708,
-0.8875406980514526,
0.29753953218460083,
0.09438858926296234,
0.03578922897577286,
1.0383113622665405,
-0.44944843649864197,
-0.41050630807876587,
-0.05480304732918739,
-1.410853624343872,
0.110468186438083... |
instruction:
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 d... | football player leaves the pitch during the match .
| 9 | NIv2 | task102_commongen_sentence_generation | fs_opt | [
-0.10262049734592438,
-0.5616458654403687,
-0.4802732467651367,
0.023922020569443703,
-0.37723374366760254,
-0.7487310171127319,
0.3164711594581604,
0.5537942051887512,
0.06597230583429337,
-0.15438291430473328,
-0.5822924375534058,
-0.35451868176460266,
-0.23447245359420776,
0.00991055276... |
instruction:
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.
question:
Pe... | I'm not sure. Whoever Connor M fights for.
| 9 | NIv2 | task1729_personachat_generate_next | fs_opt | [
0.28041934967041016,
-0.27222776412963867,
-0.007262262515723705,
0.17079898715019226,
-0.0941353440284729,
-0.47328925132751465,
0.5163238644599915,
0.19519245624542236,
0.6142492890357971,
0.16559100151062012,
-0.30685263872146606,
-0.04433351755142212,
-0.7620965242385864,
-0.2728192210... |
Given a comment text in Tamil, classify the comment into one of these categories (i) Hope speech, if it contains encouraging, positive or supportive contents about equality, diversity or inclusion, (ii) Not Hope Speech or (iii) Not in Expected Language, if the text is not Tamil.
[Q]: Bro tubemate app 🤔🤔
[A]: Not in... | Not Hope Speech
| 5 | NIv2 | task680_hope_edi_tamil_text_classification | fs_opt | [
-0.2873106598854065,
0.15796226263046265,
0.32195979356765747,
0.2508949339389801,
-0.18764959275722504,
-0.9927453994750977,
-0.2161353975534439,
0.8258907198905945,
-1.0210044384002686,
0.5581621527671814,
-0.07475724816322327,
-0.10841590911149979,
-0.05829906463623047,
-0.7222466468811... |
Given a negotiation between two participants, answer 'Yes' if both participants agree to the deal, otherwise answer 'No'.
--------
Question: THEM: i would like the 3 books and the ball. YOU: i need the books THEM: you can have 2 books but not all of them, ill take the rest YOU: how about two books and the ball? THE... | Yes
| 7 | NIv2 | task1384_deal_or_no_dialog_classification | fs_opt | [
0.5381712913513184,
0.2826431393623352,
0.240142822265625,
0.5358109474182129,
0.3703119158744812,
-0.674696683883667,
0.41734063625335693,
-0.007814208045601845,
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-0.6689534783363342,
-0.29112473130226135,
-0.10493431985378265,
-0.7638447880744934,
-0.325660526752471... |
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're given a story (which contains five sentences only). Your task is to find all the characters which are available in the given story.
Sentence1: My dog was bored. Sentence2: I was... | Amy, Mom, Mark | 0 | NIv2 | task292_storycommonsense_character_text_generation | fs_opt | [
0.34583961963653564,
-0.46883296966552734,
-0.4231201708316803,
0.4600485563278198,
0.04046908766031265,
-0.7678866982460022,
-0.12115994095802307,
1.230238914489746,
-0.14500752091407776,
-0.09250632673501968,
-0.4212983250617981,
0.16013404726982117,
-0.1569703221321106,
0.03044861555099... |
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 | 4 | NIv2 | task1209_atomic_classification_objectuse | zs_opt | [
0.3691301643848419,
0.4382871389389038,
0.42729616165161133,
-0.25166085362434387,
-0.5225979685783386,
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1.0155529975891113,
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-0.5062485933303833,
-0.21220949292182922,
-0.4416210353374481,
0.2133334726095199... |
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'... | Solution: SYM | 5 | NIv2 | task583_udeps_eng_coarse_pos_tagging | fs_opt | [
0.7613735198974609,
0.3191080689430237,
0.09504923224449158,
-0.009058074094355106,
0.16807441413402557,
-0.7978154420852661,
0.7581835389137268,
0.9505399465560913,
-0.787198543548584,
-0.2876780033111572,
-0.27054280042648315,
0.011345161125063896,
-0.6076046228408813,
0.4582784771919250... |
Given a document and an entity the task is to select the author's sentiment towards the entity. Sentiments can be Positive, Neutral and Negative. Select Positive if the article expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the document expresses no clear view tow... | Negative
| 5 | NIv2 | task420_persent_document_sentiment_classification | fs_opt | [
0.21284472942352295,
0.11501697450876236,
-0.12742489576339722,
0.21726107597351074,
0.5646440982818604,
-0.5540949106216431,
0.9940251111984253,
0.6421759724617004,
-0.031011521816253662,
0.26979655027389526,
-0.5734701156616211,
0.849189817905426,
-0.45278793573379517,
0.1599614322185516... |
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_) and their corresponding answer. The sentence pair should look similar, and should be about two related but different objects; for example "trophy" and "suitcase". Additionally, the two sentences must b... | Sentence 1: After the knee surgery he tried to use walker but switched to wheelchair, because the _ was uncomfortable.
Answer1: walker.
Sentence 2: After the knee surgery he tried to use walker but switched to wheelchair, because the _ was more comfortable.
Answer2: wheelchair. | 0 | NIv2 | task029_winogrande_full_object | zs_opt | [
0.5577230453491211,
0.3811364471912384,
-0.01622738316655159,
-0.17388181388378143,
0.7398555278778076,
-0.6111022233963013,
0.4458516836166382,
1.1221728324890137,
-0.659187912940979,
-0.3512635827064514,
-0.40673545002937317,
-0.04000787064433098,
-0.5274617671966553,
-0.0799575746059417... |
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"
جنگ ویتنام نام مجموعه عملیات و درگیریهای نظامیای است که از سال ۱۹۵۵ تا ۱۹۷۵ بین... | False | 0 | NIv2 | task396_persianqa_classification | zs_opt | [
-0.8922864198684692,
-0.33263397216796875,
0.13654488325119019,
0.6310643553733826,
-0.3115972578525543,
0.46296268701553345,
1.0494076013565063,
1.058974266052246,
-0.137823224067688,
-0.24473276734352112,
-0.9317664504051208,
0.5799179673194885,
-0.8658583164215088,
0.3410070836544037,
... |
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: Single-celled eukaryot... | Output: blue giant
| 2 | NIv2 | task592_sciq_incorrect_answer_generation | fs_opt | [
-0.47368407249450684,
1.0795252323150635,
-0.6193796396255493,
-0.08200669288635254,
-0.641049325466156,
-0.4250119924545288,
0.10091414302587509,
0.22803013026714325,
-0.25925010442733765,
-0.24232874810695648,
-0.1411769986152649,
0.5249941349029541,
-0.5554872751235962,
-0.1716043651103... |
The input is a conversation between an automated system and a user looking for suggestions for pubs, restaurants and coffee shops in Cambridge. In the dialogue, the user may provide some criteria for the type of place they want such as price range, cuisine, etc. Similarly, the user may ask details of the place suggeste... | You are looking for a restaurant in Fenditton. You don't care about the price range. Make sure you get the address, phone number, and postcode. | 8 | NIv2 | task1499_dstc3_summarization | fs_opt | [
0.7453877925872803,
0.4459766447544098,
-0.12903106212615967,
-0.3102422058582306,
0.5056243538856506,
-0.7745686769485474,
0.4666036069393158,
0.6091052293777466,
-0.4819100499153137,
-0.0003339787945151329,
0.39856457710266113,
0.0834573358297348,
-0.6773495674133301,
0.1884479522705078,... |
Instructions: You are given a statement written in Kannada. 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 .
Input: Statement: ರಾಧಿಕಾ ತಮ್ಮ ಒ೦ಬತ್ತನೇ ತರಗತಿ ಮುಗಿದ ನ೦ತರ "ನೀಲಾ ಮೇಘ ಶಾಮ"(೨೦೦೨) ಎ೦ಬ ಚಲನಚಿತ್ರದ ಮೂಲಕ ತಮ್ಮ... | ಉಪೇಂದ್ರ | 3 | NIv2 | task948_wiki_cloze_kn_multiple_choice_question_answering | zs_opt | [
0.2531035840511322,
0.8437073826789856,
-0.06972387433052063,
-0.10237802565097809,
-0.05449771136045456,
0.5869054794311523,
0.5785608291625977,
0.7345523834228516,
-0.4127965271472931,
-0.10911154747009277,
-0.015459791757166386,
-0.8308486938476562,
-0.496418297290802,
-0.49989175796508... |
Teacher:You are given a sentence from a conversation between a human and a virtual assistant. Your task is to identify whether the sentence is a question or not. Answer with Yes or No.
Teacher: Now, understand the problem? Solve this instance: Your reservation was successful, anything else I can do for you?
Student: | No | 6 | NIv2 | task879_schema_guided_dstc8_classification | zs_opt | [
-0.1436094045639038,
0.8226104378700256,
0.4489173889160156,
0.1206507459282875,
-0.3262527585029602,
-0.17944738268852234,
0.5090446472167969,
0.7861815690994263,
0.4861884117126465,
0.2844226360321045,
0.66175377368927,
-0.43047741055488586,
-0.43851226568222046,
-0.4210997223854065,
0... |
Given the task definition and input, reply with output. In this task, you will be shown an English sentence. You need to classify the sentence as either a representation of an anaphor number agreement or as an incorrect representation. An anaphor is an expression whose interpretation depends upon another expression. An... | good | 5 | NIv2 | task1560_blimp_binary_classification | zs_opt | [
-0.33366578817367554,
0.49994802474975586,
0.14121124148368835,
0.06430475413799286,
-0.6640698909759521,
-0.7877852916717529,
0.6399863958358765,
0.06298235803842545,
0.43507933616638184,
-0.37750187516212463,
-0.8158121109008789,
-0.20425686240196228,
-0.8714269995689392,
0.1396404355764... |
instruction:
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 h... | Yes
| 9 | NIv2 | task1215_atomic_classification_capableof | fs_opt | [
0.2697734832763672,
0.10658839344978333,
0.2534068822860718,
0.32710450887680054,
-0.07225016504526138,
-0.9510883092880249,
0.9751183986663818,
0.6417961120605469,
-0.17493483424186707,
-0.03501364588737488,
-0.8173006176948547,
-0.1101965457201004,
-0.6799121499061584,
0.0597244128584861... |
Instructions: You are given a sentence in English. Your job is to translate the English sentence into Spanish.
Input: And let's see how this one works.
Output: | Y vamos a ver cómo funciona éste. | 3 | NIv2 | task1219_ted_translation_en_es | zs_opt | [
-0.227257639169693,
1.2192264795303345,
-0.21592527627944946,
0.3766306936740875,
0.10672280192375183,
0.0980197936296463,
-0.5539002418518066,
1.0535328388214111,
0.4886561632156372,
-0.1460651159286499,
-0.6110624074935913,
-0.03670474886894226,
-0.20346161723136902,
-0.38407808542251587... |
You are asked to create a question containing a blank (_), based on the given context word. Your question must contain two related but different objects; for example "trophy" and "suitcase". The expected answer to your question must be one of the objects present in the sentence. The expected answer must not be associat... | During the national crisis we were running out of food to hand out unlike the water bottle since the _ was spoiled. | 9 | NIv2 | task031_winogrande_question_generation_object | fs_opt | [
0.8259593844413757,
0.5410704612731934,
0.17268674075603485,
0.14157119393348694,
0.7031087875366211,
-0.9654014110565186,
0.48642587661743164,
1.209161400794983,
-0.4689595699310303,
-0.48599889874458313,
-0.2688553035259247,
0.08606311678886414,
-0.1716330349445343,
0.09745188057422638,
... |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
One example: I've read this book with much expectation, it was very boring all through out the book
Solution is here: Negative
Explanation: Review writer does not like the book because it was boring, therefor... | Negative | 6 | NIv2 | task493_review_polarity_classification | fs_opt | [
-0.12418036162853241,
0.12069711834192276,
0.15170004963874817,
-0.5765935778617859,
0.8446104526519775,
-0.4544646143913269,
0.5496814250946045,
0.7109205722808838,
0.07642337679862976,
0.4546682834625244,
-0.0697426125407219,
-0.521117091178894,
-0.9896151423454285,
-0.4912261366844177,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence in the Spanish language. Your task is to translate the Spanish sentence into the English language.
En relación a las vacunas, señale la opción correcta
Output: | In relation to vaccines, indicate the correct option | 1 | NIv2 | task1433_head_qa_language_translation_es_to_en | zs_opt | [
-0.6883739233016968,
0.7735086679458618,
0.01940278708934784,
0.21790432929992676,
-0.36564087867736816,
-0.42418500781059265,
0.45839130878448486,
1.1067708730697632,
0.41807401180267334,
-0.10192002356052399,
0.5303387641906738,
0.10114577412605286,
0.019878149032592773,
0.00895360019057... |
Teacher:In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to determine if the two sentences clearly agree/disagree with each other, or if this can't be determined. Indicate your answer as yes or no respectively.
Teacher: Now, understand the problem? Solve this instance: Sentence 1: ... | yes | 6 | NIv2 | task199_mnli_classification | zs_opt | [
-0.8612303733825684,
0.3363053798675537,
0.7741389274597168,
-0.2789202928543091,
-0.07306131720542908,
-0.5776478052139282,
0.6388136148452759,
1.0124106407165527,
0.0016929018311202526,
0.36110615730285645,
-0.10815809667110443,
-1.0057978630065918,
-0.5301532745361328,
-0.18940034508705... |
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 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 re... | Yes | 0 | NIv2 | task1201_atomic_classification_xintent | fs_opt | [
0.5481767058372498,
-0.2588914632797241,
-0.43756523728370667,
0.24744315445423126,
-0.38506898283958435,
-1.0860888957977295,
1.4235994815826416,
0.6294412612915039,
-0.6818851232528687,
0.1324315220117569,
-0.13705557584762573,
-0.5137776732444763,
-0.7854474782943726,
-0.042569458484649... |
You will be given a definition of a task first, then some input 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 questions are about entities such as animals, ... | Location | 1 | NIv2 | task1289_trec_classification | zs_opt | [
0.05689710006117821,
-0.3182734251022339,
-0.03613946586847305,
0.08209268748760223,
0.12503913044929504,
-0.23438911139965057,
-0.07635561376810074,
0.49990907311439514,
0.25391685962677,
0.0029063583351671696,
-0.5104424953460693,
-0.014230994507670403,
-0.06536230444908142,
-0.309949278... |
Detailed Instructions: The task is to generate the correct answer for a given math problem.
Q: Problem: the probability of two events a and b are 0.25 and 0.40 respectively . the probability that both a and b occur is 0.15 . the probability that neither a nor b occur is _________
A: | 0.5 | 9 | NIv2 | task1726_mathqa_correct_answer_generation | zs_opt | [
0.7773243188858032,
0.023194778710603714,
0.12177702784538269,
0.39474835991859436,
-0.4584251642227173,
-0.025081325322389603,
0.14882183074951172,
1.2860424518585205,
0.5089781880378723,
0.07974672317504883,
-0.5720152854919434,
-0.037396229803562164,
0.10491668432950974,
-0.278281331062... |
A text is given in Marathi. Translate it from the Marathi language to the Tamil language. The translation must not omit or add information to the original sentence.
Example: संपूर्ण वर्षभर शेतकऱ्यांना उत्पनाची हमी देणारं हे मॉडेल अतिशय महत्वाचे आहे
Example solution: ஆண்டு முழுவதும் விவசாயிகளுக்கு உற்பத்திக்கு உத்தரவாதம... | Solution: உங்கள் கையெழுத்து பிரதமரின் கையெழுத்தைவிட அதிக வல்லமை மிக்கது. | 5 | NIv2 | task1083_pib_translation_marathi_tamil | fs_opt | [
-0.4091843366622925,
0.613653302192688,
0.0893700122833252,
0.4354969263076782,
-0.07683683186769485,
-1.776663064956665,
0.5291323661804199,
0.9563603401184082,
-0.3922937512397766,
0.21399074792861938,
-0.8591374158859253,
-0.1981617510318756,
-0.4585484266281128,
0.08607184886932373,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a passage, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You sh... | Who had the longer tenure at the Rockefeller Institute, Emil L. Smith or Max Bergmann? | 1 | NIv2 | task236_iirc_question_from_passage_answer_generation | zs_opt | [
0.1578470766544342,
-0.0010030721314251423,
-0.23879143595695496,
0.057305049151182175,
0.1637556403875351,
0.16508924961090088,
-0.37966522574424744,
0.7109736204147339,
0.3231738805770874,
0.5351377725601196,
-0.3068051338195801,
0.13579058647155762,
-1.255856990814209,
-0.16790851950645... |
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 story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three... | green_bucket | 0 | NIv2 | task153_tomqa_find_location_hard_clean | fs_opt | [
0.5097623467445374,
-0.41931840777397156,
-0.14429329335689545,
0.16383983194828033,
0.11291484534740448,
-0.23619472980499268,
0.3979986906051636,
0.777498185634613,
-0.2585023045539856,
0.12477978318929672,
0.3186282813549042,
0.036130256950855255,
-0.05212515965104103,
0.462503105401992... |
instruction:
In this task, you are given a sentence and a question, you would be asked to create the answer which is contained in the sentence provided.
question:
Sentence: Liquid nitrogen is used for cooling detectors of infrared telescopes. Question: What is used for cooling detectors of infrared telescopes?
answer:
... | neurotransmitter molecules
| 9 | NIv2 | task1555_scitail_answer_generation | fs_opt | [
0.14286567270755768,
0.0038188835605978966,
-0.7225897312164307,
0.13751383125782013,
0.40128451585769653,
-1.264845848083496,
-0.5689096450805664,
-0.15152393281459808,
-0.09046381711959839,
0.1653188019990921,
-0.13561803102493286,
-0.1671905517578125,
-1.0535422563552856,
0.211926221847... |
Q: 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".
Japanese: 道徳の退廃がアメリカの政治ニュースや日曜日のトークショーを占拠し始めたと主張したトム・ディレイ（テキサス州の米国下院の共和党員）は... | No | 7 | NIv2 | task1117_alt_ja_id_answer_generation | zs_opt | [
-0.5313457250595093,
-0.4341384768486023,
0.409265398979187,
0.28452473878860474,
-0.38483721017837524,
-0.7158328294754028,
-0.011645989492535591,
-0.0013183234259486198,
0.17562243342399597,
-0.1434737741947174,
-0.2560325264930725,
0.416903555393219,
-0.8813269138336182,
0.5440974831581... |
Detailed Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Japanese.
Problem:هو ليس بالتقليد الأعمى... رغم أن الذكاء الاصطناعي يحاول أن يبقي على تسريحة الشعر... إنه ليس بالتقليد الأعمى. إنه أخذ مبادئ التصميم ، العبقرية في عالم الطبيعة ، وتعلم شيء منه.
Solution: | 意識的に生物の才能を模範としますアインシュタインは髪型を真似していますが独創性のない模倣ではありませんデザイン原理と自然界の才能から何かを学び取るのです | 8 | NIv2 | task1231_ted_translation_ar_ja | zs_opt | [
-0.9475958943367004,
0.6206110119819641,
0.29811322689056396,
-0.3614734411239624,
-0.6415597200393677,
-0.323074072599411,
0.21057721972465515,
0.031721167266368866,
0.017552131786942482,
-0.3359559178352356,
-0.5594916343688965,
0.19858747720718384,
-0.5476092100143433,
0.288561463356018... |
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 twice and jump left thrice | 8 | NIv2 | task129_scan_long_text_generation_action_command_short | fs_opt | [
0.11602836102247238,
0.7385423183441162,
-0.3913017809391022,
0.05017232894897461,
-0.060276176780462265,
0.1228698119521141,
0.16712059080600739,
0.9176569581031799,
-0.47571873664855957,
-0.2960328459739685,
-0.9185163378715515,
-0.3895230293273926,
-0.7801910638809204,
-0.16977332532405... |
Teacher: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Podem assim exprimir tudo desde admiração e desejo até ansiedade e angústia.
Solution: Y puede expresar desde admira... | Extrajeron tanto hueso roto como pudieron del que estaba incrustado en mi médula espinal. | 2 | NIv2 | task1276_ted_translation_pt_es | fs_opt | [
0.14190834760665894,
0.6971931457519531,
0.26051753759384155,
-0.19330212473869324,
-0.390267014503479,
-0.8846214413642883,
-0.017321886494755745,
0.64368736743927,
0.7307330369949341,
-0.5612722635269165,
-0.37635523080825806,
0.4866587519645691,
-0.6343033313751221,
-0.24612152576446533... |
In this task, you are given books product reviews in English language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Input: Consider Input: Life transforming book . This is an enormous work and very importa... | Output: NEG
| 2 | NIv2 | task476_cls_english_books_classification | fs_opt | [
-0.06192586570978165,
0.24192404747009277,
0.20437577366828918,
-0.5529377460479736,
0.1942766308784485,
-0.5167713761329651,
1.1083424091339111,
0.05903990566730499,
0.48378658294677734,
0.18673768639564514,
-0.6138153076171875,
-0.3461260199546814,
-0.6407601833343506,
-0.649950563907623... |
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: Israel already has land-based nuclear-capable ballistic missiles in the fo... | No | 0 | NIv2 | task437_alt_en_ja_answer_generation | zs_opt | [
-0.3036036491394043,
0.15839996933937073,
0.9278448820114136,
-0.21780577301979065,
0.6973330974578857,
-0.9590107202529907,
1.3107465505599976,
0.4398190379142761,
0.08477114886045456,
0.0236031673848629,
-0.21927441656589508,
0.422710120677948,
-0.8346145749092102,
0.17487186193466187,
... |
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 need to reverse the order of words in the given sentence.
Sentence: luggage surrounds a vehicle in an underground parking area
Solution: area parking underground an in vehicle a su... | league baseball league minor a of series championship the | 0 | NIv2 | task376_reverse_order_of_words | fs_opt | [
-0.16087017953395844,
0.36900267004966736,
-0.049749042838811874,
0.04156005010008812,
0.02216254733502865,
0.0039901831187307835,
0.33000361919403076,
0.2855033278465271,
0.6766254901885986,
-0.3857085108757019,
-1.0698561668395996,
-0.2003631889820099,
-0.360099196434021,
-0.321758329868... |
In this task, you get an English sentence and a corresponding Spanish translation of the English sentence. Your task is to return a "Yes" if the translation is correct, otherwise return "No"
[EX Q]: English: Mr President, I want to thank the Co-President of the Joint ACP-EU Assembly, Mr Corrie. It was no easy task to ... | Yes
| 6 | NIv2 | task532_europarl_en-es_classification | fs_opt | [
0.008313864469528198,
0.12290842831134796,
-0.03395923599600792,
0.32020846009254456,
0.28464892506599426,
-0.8150547742843628,
0.17353995144367218,
0.7246853113174438,
-0.48453831672668457,
0.166508749127388,
0.5257083177566528,
0.31315767765045166,
0.064943827688694,
0.27045097947120667,... |
Teacher: 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 only the first word of each sentence and noun).
Teacher: Now, understand the problem? If you are still confused, s... | Indeed that is the only way to build up regional economic circulation in the under-developed regions that will protect people' s social welfare and boost purchasing power. | 2 | NIv2 | task312_europarl_sv_en_translation | fs_opt | [
-0.4464745819568634,
0.6570268273353577,
0.8196263313293457,
-0.9192798137664795,
0.07700849324464798,
-0.36105358600616455,
0.7872657179832458,
0.7292029857635498,
0.6264359951019287,
-0.2096814066171646,
0.4153420925140381,
1.2373688220977783,
-0.916827380657196,
-0.4666297435760498,
-... |
You are given a statement written in Hindi. 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 .
One example is below.
Q: Statement: सिग्नेचर केल्विन क्लेन अंडरवियर बुटीक, ब्यूनस आयर्स, टोरंटो, मेक्सिको सिटी, <MAS... | अमेरिका | 9 | NIv2 | task947_wiki_cloze_hi_multiple_choice_question_answering | fs_opt | [
0.25215935707092285,
0.6007006168365479,
-0.3677651286125183,
-0.295421302318573,
0.2907611131668091,
-1.0580824613571167,
-0.18417397141456604,
0.43675315380096436,
0.1939915418624878,
-0.09922432899475098,
0.11339835822582245,
0.14313152432441711,
-0.5156556963920593,
-0.2818676829338074... |
In this task, given a sentence in the English language, your task is to convert it into the Chinese language.
The report had hinted at problems, saying "The pilot was probably emotionally aroused because his conscious awareness moved from the relaxed mode "singing"to the heightened stressfulness of the desire to reach... | 该报告暗示了问题，并称“领航员很可能是情绪激动，因为他的意识从放松的‘唱歌’模式转移到了高度紧张的状态，他想通过不稳定的，快速而陡峭的飞行方式到达跑道。” | 0 | NIv2 | task548_alt_translation_en_ch | zs_opt | [
-0.2225572168827057,
0.5908707976341248,
-0.13604146242141724,
-1.2915582656860352,
-0.30034929513931274,
0.29581278562545776,
-0.570449948310852,
1.2377214431762695,
-0.03675836697220802,
0.13928215205669403,
-0.5151227116584778,
0.1577957570552826,
0.014707343652844429,
-0.34474140405654... |
Definition: In this task, you are given a sentence in the English language from the various articles. Your task is to translate the given English sentence into the Yoruba language. Please bear in mind the following guidelines while doing the translation: 1) Generated output should have natural language and formal form.... | tí ó mọ́ gaara nípa iṣẹ́ wọn (àti àṣìṣe wọn), | 2 | NIv2 | task1619_menyo20k-mt_en_yo_translation | zs_opt | [
-0.10970454663038254,
0.21591916680335999,
0.1142149418592453,
0.1517370641231537,
0.15970344841480255,
0.0983109399676323,
0.40437352657318115,
0.4033745527267456,
0.45746541023254395,
-0.28810566663742065,
-0.20608007907867432,
0.03591323643922806,
-0.5155066847801208,
0.2397456616163253... |
Definition: In this task, you're given an article and an answer. Your task is to generate the fill-in-the-blank question for this answer based on the given article. The blanks are always at the end of the question, and can be filled with more than one word or phrase.
Input: Article: Chelsea Bourque was 17 years old. Wh... | From what Kim said, we know she _ . | 2 | NIv2 | task649_race_blank_question_generation | zs_opt | [
0.14174576103687286,
0.03108167089521885,
-0.5716919898986816,
0.000642427708953619,
0.09972602128982544,
-0.05123625323176384,
0.4964662492275238,
0.7316827774047852,
-0.07800335437059402,
0.48378172516822815,
0.20186133682727814,
0.23805487155914307,
-0.12990731000900269,
-0.069309979677... |
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... | True | 9 | NIv2 | task1187_politifact_classification | fs_opt | [
0.2249736189842224,
0.27690237760543823,
-0.022536931559443474,
0.28676843643188477,
-0.7258975505828857,
-0.3517308235168457,
0.769013524055481,
0.13974538445472717,
-0.057320401072502136,
0.06871486455202103,
-0.7225732803344727,
-0.024904798716306686,
-0.46048295497894287,
0.13774067163... |
Definition: Given a sentence in the Lao, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Input: ອີງຕາມຄະນະກຳມະການປົກປ້ອງນັກໜັງສືພິມ ທີ່ມີຖານຢູ່ສະຫະລັດ ຕາມທີ່ພວກເຂົາຮູ້ "ຕັ້ງແຕ່ປີ 2000 ຢ່າງໜ້ອຍນັກໜັງສືພິມຣັດເຊຍສິບເຈັດຄົນໄດ້ຖືກຂ້າ... | アメリカ合衆国に拠点を置くジャーナリスト保護委員会によれば、彼らが知る限り、「2000年以降、少なくとも17人のロシアのジャーナリストが仕事のために命を落としているが、殺人者に有罪判決が下されたのは1件のみである」ということだ。 | 2 | NIv2 | task1125_alt_lo_ja_translation | zs_opt | [
-0.5276352167129517,
-0.605570912361145,
-0.3694462180137634,
0.01438627764582634,
0.4225916564464569,
0.2524045705795288,
0.7436163425445557,
0.324174165725708,
0.15245017409324646,
-0.2741100788116455,
-0.943779468536377,
0.452973335981369,
-0.7027075886726379,
0.9566121101379395,
0.11... |
Teacher: In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words.
Teacher: Now, understand the problem? If you are still confused, see the following example:
We propose a local coherence model based on a convolutional neural ... | SEP-Nets: Small and Effective Pattern Networks | 2 | NIv2 | task1540_parsed_pdfs_summarization | fs_opt | [
-0.1398927867412567,
0.272687166929245,
-0.25928258895874023,
-0.1094801276922226,
0.15840235352516174,
-0.11388523131608963,
0.6671352982521057,
0.7338582873344421,
-0.0022080917842686176,
0.4826084077358246,
-0.05758664757013321,
-0.03146589174866676,
-0.6566563844680786,
0.1132444888353... |
Part 1. Definition
You are given a sentence in English. Your job is to translate the English sentence into Japanese.
Part 2. Example
And it was primarily because Kiribati realized that this was in their own self-interest to do this.
Answer: 第一にキリバス共和国が彼ら自身の利益になると理解したからです
Explanation: The English sentence is correctly t... | 欧州でも錬金術師の著書に記されています今でもこの物語は信じられていますが科学の言葉を使って語られる点だけが違います | 7 | NIv2 | task1218_ted_translation_en_ja | fs_opt | [
0.5148317217826843,
0.6748636364936829,
-0.06658552587032318,
-0.36393362283706665,
-0.44154542684555054,
-0.5672855377197266,
0.9571051597595215,
-0.6901084184646606,
0.10938374698162079,
-0.4031411409378052,
-0.40617287158966064,
0.31211012601852417,
-0.6288530230522156,
0.44138184189796... |
Given a scientific question, generate a correct answer to it.
Q: The organ systems of the body work together to carry out life processes and maintain what?
A: | homeostasis | 4 | NIv2 | task591_sciq_answer_generation | zs_opt | [
0.8316160440444946,
1.2710540294647217,
-0.7046325206756592,
0.23061099648475647,
-0.5439550280570984,
-0.8503918051719666,
0.031174929812550545,
-0.30720263719558716,
-0.4259648323059082,
-0.5447801351547241,
-0.20634087920188904,
-0.7034940719604492,
-0.769707202911377,
0.601212799549102... |
Teacher: You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Dzisiaj, w Szwecji i innych bogatych krajach ludzie używają mnóstwo najróżniejszych urządzeń.
Solution: Hoxe, en Suecia e o... | Moitas grazas. | 2 | NIv2 | task1261_ted_translation_pl_gl | fs_opt | [
-1.1077170372009277,
0.7867769002914429,
-0.11788341403007507,
-1.0314304828643799,
0.08231180906295776,
-0.9049163460731506,
1.0016419887542725,
-0.08732785284519196,
-0.29606425762176514,
-0.4382041096687317,
0.06485538184642792,
0.9968639612197876,
-0.059340700507164,
0.0525162741541862... |
Teacher:In this task, you are given a question and answer for that. The answer will fill in the blank or will complete the unfinished question. Your task is to provide an explanation based on the given question or fill-in-the-blank statement, and answer.
Teacher: Now, understand the problem? Solve this instance: Questi... | Therefore, water nearer shore usually contains more dissolved nutrients than water farther from shore. | 6 | NIv2 | task223_quartz_explanation_generation | zs_opt | [
-0.3208804726600647,
0.05534486472606659,
-0.0820213258266449,
-0.59469074010849,
-0.21373340487480164,
-0.612174928188324,
0.1646246612071991,
0.7551410794258118,
-0.2665511965751648,
-0.43315649032592773,
-0.06298497319221497,
-0.7209859490394592,
-0.8679788112640381,
0.23557817935943604... |
Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
Q: Tweet: @anonymized_account Nie wiem, ale Gent też stamtąd leciał , Question: Does the tweet contain cyberbullying (harmful) content?
A: | No | 4 | NIv2 | task839_cdt_classification | zs_opt | [
-1.706406593322754,
1.4634528160095215,
0.3575218915939331,
0.42531341314315796,
-0.7989966869354248,
-0.6793358325958252,
0.8677915334701538,
-0.41364726424217224,
-0.2784222364425659,
0.006047794129699469,
-0.14550907909870148,
0.5420868992805481,
-1.4751837253570557,
-0.1912857294082641... |
A piece of text from one of these 5 languages - French, English, Dutch, Somali, Tagalog is given. Generate the language to which the text belongs.
Example: Text: Cheval de soins pour les enfants de 3 ans!
Example solution: French
Example explanation: The given text is in French language
Problem: Text: Faites ce simple... | Solution: French | 5 | NIv2 | task447_opus_paracrawl_classification | fs_opt | [
0.3632751703262329,
0.5905693769454956,
0.4889816641807556,
-0.9265953898429871,
0.33433449268341064,
-0.5571025609970093,
0.2677212357521057,
0.8053576946258545,
0.23424643278121948,
-0.0493975505232811,
-0.1565905064344406,
0.5052739381790161,
-0.4198164939880371,
-0.2494577169418335,
... |
In this task, you are given a text of article and corresponding title of an article. Your task is to generate label "yes" if headline (title) is right for article, otherwise generate "no".
Example: Article: australia 's current account deficit shrunk by a record #.## billion dollars -lrb- #.## billion us -rrb- in the j... | Solution: yes | 5 | NIv2 | task289_gigaword_summarization | fs_opt | [
-0.6237649917602539,
0.07842692732810974,
-0.0910848081111908,
0.2926763892173767,
-0.3333814740180969,
-0.13913953304290771,
0.29667481780052185,
0.2530434727668762,
-0.10135796666145325,
0.24954067170619965,
-0.10989503562450409,
0.44800180196762085,
-0.7261948585510254,
0.49019330739974... |
Instructions: Translate from English to Hindi.
Input: Don't remove those stones.
Output: | उन पत्थरों को मत हटाओ. | 3 | NIv2 | task1329_open_subtitles_en_hi_translation | zs_opt | [
1.5816951990127563,
1.1572664976119995,
-1.1422982215881348,
0.5506933927536011,
-0.3815076947212219,
-1.0190485715866089,
0.33077573776245117,
0.6572940945625305,
-0.4512675404548645,
-0.22352801263332367,
-0.07353922724723816,
0.36836814880371094,
-0.2369007021188736,
0.01782479137182235... |
TASK DEFINITION: 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. Y... | No
| 8 | NIv2 | task1204_atomic_classification_hinderedby | fs_opt | [
1.1275094747543335,
-0.10927264392375946,
0.18956664204597473,
0.08696249127388,
-0.10124614834785461,
-0.6975398063659668,
0.9393899440765381,
0.8864958882331848,
-0.9848059415817261,
-0.10320261120796204,
-0.444113552570343,
-0.416914165019989,
-0.27728211879730225,
-0.34991365671157837,... |
A question is presented to you in this task, and your job is to write a potentially correct answer.
Example Input: where are facebook headquarters located?
Example Output: California
Example Input: where was battle of verdun located?
Example Output: Verdun
Example Input: what did baron de montesquieu die from?
Examp... | Fever
| 3 | NIv2 | task1412_web_questions_question_answering | fs_opt | [
1.0291903018951416,
0.2816784977912903,
-0.4378519654273987,
-0.8522008657455444,
-0.24819429218769073,
-0.13226881623268127,
0.48156702518463135,
0.4679771661758423,
0.9417676329612732,
-0.14581438899040222,
0.551973819732666,
0.18552781641483307,
-0.31574028730392456,
0.35712724924087524... |
Given the task definition and input, reply with output. Given the sentence, generate "yes, and" response. "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("... | That's like having your whole life in medium, not too small, not too large. | 5 | NIv2 | task360_spolin_yesand_response_generation | zs_opt | [
0.6267760396003723,
0.5566819906234741,
0.6700516939163208,
-0.10372625291347504,
0.29639267921447754,
-0.6827216148376465,
0.405683696269989,
0.8791574239730835,
-0.11062963306903839,
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-0.8930935859680176,
-0.33228376507759094,
-0.7679378986358643,
0.7406256198883057,
... |
Part 1. Definition
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to write a single word that describes the genre that the two sentences belong to, such as face-to-face, government, letters, 9/11, slate, telephone, travel, verbatim, oup, fiction.
Part 2. Example
Sentence 1: Next ... | fiction | 7 | NIv2 | task197_mnli_domain_answer_generation | fs_opt | [
-0.8628212809562683,
0.34468722343444824,
0.4000760316848755,
-0.6482363343238831,
0.2073189616203308,
0.1374354064464569,
-0.174734964966774,
0.7049384713172913,
0.14797186851501465,
-0.458895206451416,
-0.5860099792480469,
-0.2402726709842682,
-0.17157451808452606,
-0.6610303521156311,
... |
Part 1. Definition
"Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes... | Response 1 | 7 | NIv2 | task362_spolin_yesand_prompt_response_sub_classification | fs_opt | [
0.2512282133102417,
0.9444061517715454,
0.49315065145492554,
-0.42887479066848755,
0.008682816289365292,
-0.37659984827041626,
0.32758912444114685,
0.5691646933555603,
-0.03661993891000748,
-0.38346755504608154,
-0.5936312079429626,
-0.24136485159397125,
-0.8981450796127319,
0.106639735400... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
טסלה הפך להיות האדם שהאיר את העולם, אבל זו היתה רק ההתחלה. | أصبح تيسلا الرجل الذي أنار العالم ، لكن تلك كانت البداية فقط. | 0 | NIv2 | task1237_ted_translation_he_ar | zs_opt | [
-0.28858229517936707,
1.125603437423706,
0.4535945653915405,
-0.13025274872779846,
-0.6312042474746704,
-0.5180230140686035,
0.32198601961135864,
-0.18546926975250244,
1.1674981117248535,
-0.045535992830991745,
-0.387096107006073,
0.12268109619617462,
-0.5312160849571228,
-0.76079642772674... |
Q: Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.
Relationship: 'have', Argument/Subject 1: 'iraq', Argument/Subject 2: 'wmd'
A: | Iraq had WMD , and that WMD is in Syria . | 7 | NIv2 | task677_ollie_sentence_answer_generation | zs_opt | [
0.34313198924064636,
0.6349600553512573,
-0.025609850883483887,
-0.6364301443099976,
-0.574587345123291,
-0.7545056343078613,
0.9024295806884766,
0.9904494881629944,
0.4010440707206726,
0.06866556406021118,
-0.11191298812627792,
-0.6543954610824585,
-0.8244930505752563,
-0.3687207698822021... |
You are given a sentence in English. Your job is to translate the English sentence into Japanese.
One example: And it was primarily because Kiribati realized that this was in their own self-interest to do this.
Solution is here: 第一にキリバス共和国が彼ら自身の利益になると理解したからです
Explanation: The English sentence is correctly translated in... | わかってほしいのは | 6 | NIv2 | task1218_ted_translation_en_ja | fs_opt | [
0.6554598808288574,
0.20293648540973663,
-0.04761190339922905,
-0.41723671555519104,
-0.2135642021894455,
-0.746468186378479,
1.3007771968841553,
-0.6467957496643066,
-0.03074280358850956,
-0.42190030217170715,
-0.5993068218231201,
0.20574307441711426,
-0.37942805886268616,
0.3086990714073... |
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'.
Q: 1232 aggiunta 9417 sott... | 13375
****
| 4 | NIv2 | task086_translated_symbol_arithmetic | fs_opt | [
-0.47307103872299194,
0.9344485402107239,
-0.1865195333957672,
-0.016669150441884995,
-0.5417706966400146,
-0.4887693524360657,
0.5793105959892273,
1.096907377243042,
0.1737847477197647,
-0.38311177492141724,
-0.8466788530349731,
-0.5996679067611694,
-0.2836557924747467,
0.5258398652076721... |
In this task, you will be presented with a passage, and you need to write an **implausible** answer to to fill in the place of "_". Your answer should be incorrect, but should not be out of context. Try using words that are related to the context of the passage, but are not the correct answer. Even though there exist ... | All Blacks | 6 | NIv2 | task303_record_incorrect_answer_generation | fs_opt | [
0.5604552030563354,
0.667494535446167,
-0.7538855075836182,
0.3019731640815735,
-0.038299284875392914,
-0.03069392405450344,
0.7390058040618896,
0.5261101722717285,
-0.05287002772092819,
0.6768319606781006,
0.05775296315550804,
0.607395350933075,
-0.876664400100708,
0.7160699367523193,
-... |
In this task, you're given a context passage. Your job is to generate relevant questions that can be answered by directly referring to the passage.
--------
Question: I listened to dry your eyes mate by the streets on the way home . And I thought I was doing a good job of getting over it . Then I came back and a whole ... | How would you describe Remy?
| 7 | NIv2 | task596_mocha_question_generation | fs_opt | [
0.816676139831543,
0.7830570936203003,
-0.14744918048381805,
-0.5028978586196899,
-0.3325696587562561,
-0.17575645446777344,
0.8765251636505127,
0.6418963670730591,
0.21523532271385193,
0.44915488362312317,
-0.14424031972885132,
-0.30904966592788696,
-0.7073047161102295,
0.5257425308227539... |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Q: Although good quality product, it doesn't fit my ear at all. None of the sizes fit comfortably or snug. I can't use it at all and just wasted my money.
A: | Negative | 4 | NIv2 | task493_review_polarity_classification | zs_opt | [
-0.11785528808832169,
0.19693905115127563,
-0.19142378866672516,
-0.52923583984375,
0.3352852761745453,
-0.30018875002861023,
0.23897181451320648,
0.34383904933929443,
0.19132766127586365,
0.7470986843109131,
0.016260240226984024,
-0.3926517963409424,
-0.7292062640190125,
-0.81080967187881... |
TASK DEFINITION: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that contradict each other. Your job is to alter sentence 2 so that the pair agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse t... | The snowplow is pushing snow.
| 8 | NIv2 | task186_snli_contradiction_to_entailment_text_modification | fs_opt | [
-0.37453293800354004,
0.5173248052597046,
-0.3788677453994751,
-0.8847439289093018,
0.034716103225946426,
0.2597373127937317,
0.8090038299560547,
0.6222929358482361,
0.6962296962738037,
-0.8993991613388062,
-0.6586602926254272,
-0.45681464672088623,
-0.4737732708454132,
0.1923636645078659,... |
Part 1. Definition
The task is to generate the correct answer for a given math problem.
Part 2. Example
a multiple choice test consists of 4 questions, and each question has 5 answer choices. in how many r ways can the test be completed if every question is unanswered ?
Answer: 625
Explanation: Total r of 5 * 5 * 5 * 5... | 23 1 / 13 % | 7 | NIv2 | task1726_mathqa_correct_answer_generation | fs_opt | [
0.13888908922672272,
0.44639188051223755,
0.5128656625747681,
0.3128513693809509,
0.2640620470046997,
0.6157574653625488,
1.1303653717041016,
0.3927542567253113,
-0.2419040948152542,
-0.307561993598938,
-0.6794668436050415,
0.34459012746810913,
-1.0556328296661377,
0.2595535218715668,
0.... |
Teacher: You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Teacher: Now, understand the problem? If you are still confused, see the following example:
I have bought several of the Vitality canned dog food product... | Negative | 2 | NIv2 | task586_amazonfood_polarity_classification | fs_opt | [
-0.2933310270309448,
-0.41883403062820435,
0.35325995087623596,
-0.4675317108631134,
0.07677800208330154,
-0.017212754115462303,
0.4865019917488098,
0.33876004815101624,
-0.24936433136463165,
0.39356374740600586,
0.28112804889678955,
-0.28239649534225464,
-0.9743428230285645,
-0.3638151288... |
Given a sentence, generate what should be the most likely next statement. The next statement should be reasonable and logically correct.
Ex Input:
Someone and someone watch from a table on the empty floor. Someone
Ex Output:
enters the club and observes the girls onstage.
Ex Input:
The siblings clutch each other in... | turns back so his father can face the crowd.
| 1 | NIv2 | task453_swag_answer_generation | fs_opt | [
0.17427870631217957,
1.0320981740951538,
-1.0726902484893799,
0.13062819838523865,
0.07600454241037369,
-0.5002948641777039,
0.45714741945266724,
0.029110893607139587,
0.380858838558197,
0.22047895193099976,
0.21935290098190308,
-0.18341681361198425,
-0.5690981149673462,
-0.096844241023063... |
Instructions: Given a sentence, generate what should be the most likely next statement. The next statement should be reasonable and logically correct.
Input: He jumps on and off an exercise stepper, front to back and side to side. He
Output: | spins as he climbs on and off. | 3 | NIv2 | task453_swag_answer_generation | zs_opt | [
0.41915637254714966,
0.931066632270813,
-0.2689821124076843,
0.3298168182373047,
0.23732027411460876,
0.5462915301322937,
-0.23911605775356293,
0.6808329820632935,
0.09921231120824814,
-0.33151158690452576,
-1.1303775310516357,
0.035192809998989105,
-1.2247439622879028,
-0.5577970147132874... |
In this task, you are given a sentence. You are expected to recognize the name of gene or protein. Although there might be several correct answers, you need to write one of them.
Q: Mad3 and Mad4 : novel Max - interacting transcriptional repressors that suppress c - myc dependent transformation and are expressed durin... | c - myc | 4 | NIv2 | task1481_gene_extraction_bc2gm_dataset | zs_opt | [
-0.6110216379165649,
0.7175356149673462,
-0.26804161071777344,
-0.953211784362793,
-0.3854507505893707,
0.13375671207904816,
0.677952766418457,
0.09773387014865875,
0.031071092933416367,
-0.7260018587112427,
-1.3643074035644531,
-0.8579256534576416,
-0.48706430196762085,
-0.658463358879089... |
Given the task definition and input, reply with output. In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
[352, -65, -215, 524, 91, -469, 471, -779, 278, -13, -92]
| [350, -60, -220, 520, 90, -470, 470, -780, 280, -10, -90] | 5 | NIv2 | task373_synthetic_round_tens_place | zs_opt | [
-0.704871416091919,
0.4979330897331238,
-0.10072136670351028,
-0.11458542943000793,
-0.2028994858264923,
-0.060740210115909576,
0.9746492505073547,
-0.2970465421676636,
-0.4597014784812927,
0.05087833106517792,
-0.9586696028709412,
0.1683570146560669,
-0.4808158278465271,
0.104743644595146... |
Given the task definition and input, reply with output. You are given a sentence in Polish. Your job is to translate the Polish sentence into Spanish.
Babbage myślał o użyciu systemu binarnego. Problem z systemem binarnym jest taki, że maszyna byłaby absurdalnie wysoka.
| Pensó en usar el sistema binario, pero el problema era que la máquina hubiese sido tan alta, hubiese sido una exageración. Tal como está, ya es enorme. | 5 | NIv2 | task1258_ted_translation_pl_es | zs_opt | [
-1.297281265258789,
0.8878874778747559,
-0.31488364934921265,
0.09892766177654266,
-0.16312626004219055,
0.3122796416282654,
1.4632601737976074,
-0.10350223630666733,
0.03833118826150894,
-0.3326564133167267,
-0.9364852905273438,
0.7495040893554688,
-0.028666283935308456,
0.142219841480255... |
You will be given a definition of a task first, then some input of the task.
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 after the first i elements. i will always have a value less than the length of A.
14, ['4699', 'y', 'j', 'c', 'Z', '7665... | 2319, u, 5511, h, Z, 2875, k, X, T, s, 6769, 1561, w, 2677, q | 1 | NIv2 | task064_all_elements_except_first_i | zs_opt | [
0.17792324721813202,
0.5372304916381836,
-0.28010302782058716,
-0.19239173829555511,
-0.23039878904819489,
-0.036289848387241364,
0.5438951253890991,
-0.34992486238479614,
-0.3342205286026001,
-0.023852761834859848,
-0.7571359872817993,
-0.287347674369812,
0.43223869800567627,
-0.135160326... |
A text is given in Telugu. Translate it from the Telugu language to the Urdu language. The translation must not omit or add information to the original sentence.
--------
Question: ہندوستان میں اکاؤنٹینسی کے فروغ کے بارے میں نئی اور تازہ معلومات فراہم کرنا اور اس پیشے سے متعلق بہتر بین الاقوامی مشقوں کو بڑھا وا دینا۔
... | అంతరిక్ష విభాగం
| 7 | NIv2 | task1038_pib_translation_urdu_telugu | fs_opt | [
-0.4277329444885254,
0.991489052772522,
-0.042384713888168335,
-0.10980501770973206,
-0.1871648132801056,
-0.460684210062027,
-0.451931893825531,
-0.011034868657588959,
0.11637736856937408,
-0.6092661023139954,
-0.48503977060317993,
0.09895635396242142,
-0.4890151619911194,
0.6954520940780... |
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 | 4 | NIv2 | task750_aqua_multiple_choice_answering | zs_opt | [
0.4926261901855469,
0.5713992118835449,
-0.21638360619544983,
0.16809400916099548,
0.12882784008979797,
0.5746490359306335,
0.04627179354429245,
0.4630046486854553,
0.148553729057312,
-0.16772085428237915,
-0.46075326204299927,
-0.3209855556488037,
0.004058929160237312,
-0.3761271834373474... |
Instructions: In this task, you need to count the number of vowels (letters 'a', 'e', 'i', 'o', 'u') / consonants (all letters other than vowels) in the given sentence.
Input: Sentence: 'a man letting his horse graze outside the fair'. Count the number of consonants in the given sentence.
Output: | 22 | 3 | NIv2 | task157_count_vowels_and_consonants | zs_opt | [
0.29541444778442383,
0.7717187404632568,
-0.8097466826438904,
-0.5864629745483398,
-0.18790006637573242,
-0.14568571746349335,
-0.20369645953178406,
0.9436501264572144,
-0.1783265322446823,
-0.4254525303840637,
-1.0258044004440308,
0.08276599645614624,
-0.12946105003356934,
-0.758200168609... |
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 will always be less than j... | W1393fN5997V7329u
| 5 | NIv2 | task100_concatenate_all_elements_from_index_i_to_j | fs_opt | [
-0.3545888066291809,
0.080317422747612,
-0.15829001367092133,
-0.153262659907341,
-0.14957213401794434,
-0.17566370964050293,
0.5512638092041016,
0.2891881763935089,
-0.8326447010040283,
0.2847249507904053,
-0.933253288269043,
0.08475929498672485,
0.2625037133693695,
-0.019601279869675636,... |
Detailed Instructions: 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 in parentheses, for example: "HMS Mallow (K81)", or be... | No | 8 | NIv2 | task630_dbpedia_14_classification | zs_opt | [
-0.7870509624481201,
0.47862350940704346,
0.3119874596595764,
-0.0314292311668396,
-0.11030919849872589,
-0.5386418104171753,
1.0615763664245605,
0.5000057816505432,
0.19877146184444427,
0.06987175345420837,
-0.2206868827342987,
0.01918601244688034,
-0.9934663772583008,
-0.0685568824410438... |
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