inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
You are given a short poem which is written by a kid. Your task is to predict if the kid is in elementary school or high school. Anyone who is from grade 1st to 6th-grade will be considered as in elementary school, and 7th to 12th-grade kids will be considered as in high school. There are only two possible outputs, i.e... | elementary | 9 | NIv2 | task1712_poki_classification | fs_opt | [
-0.04266257584095001,
0.31869158148765564,
0.6757843494415283,
-0.3659518361091614,
0.16752225160598755,
-0.5892638564109802,
-0.08111420273780823,
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-0.6043703556060791,
0.1708509773015976,
0.06216801702976227,
-0.393025279045105,
... |
Definition: In this task, you are given a sentence in the Japanese language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Input: 12月、26歳のStevenMonjeza氏と20歳のTiwongeChimbalanga氏は、個人的な婚約式... | In December, Steven Monjeza, 26, and Tiwonge Chimbalanga, 20, were arrested following a personal engagement ceremony. | 2 | NIv2 | task436_alt_ja_en_translation | zs_opt | [
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-0.07085275650024414,
-0.594151496887207,
0.49772337079048157,
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0.6638134717941284,
0.0568573959171772,
0.27865827083587646,
-0.2930353581905365,
-0.22789564728736877,
0.47478461265563965,
-1.1379436254501343,
0.18043166399002075... |
Given the task definition and input, reply with output. Given a scientific passage and an answer, generate a question for the given answer.
Passage: Human skin color is primarily due to the presence of the pigment melanin in the skin. Melanin is not a protein, but it is the product of a biosynthetic pathway. Skin colo... | Human skin color is primarily due to the presence of what pigment in the skin? | 5 | NIv2 | task594_sciq_question_generation | zs_opt | [
-0.45295995473861694,
-0.13569998741149902,
-0.39342838525772095,
-0.24675646424293518,
-0.23643407225608826,
-0.4121628999710083,
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-0.062146201729774475,
-0.8080960512161255,
0.27824321389198303,
-0.7112040519714355,
-0.448979675... |
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 (do not include sente... | 2, 3, 7, 8.
| 1 | NIv2 | task049_multirc_questions_needed_to_answer | fs_opt | [
-0.02822544239461422,
-0.19126734137535095,
0.08665934205055237,
-0.10988418757915497,
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-0.34795111417770386,
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0.40064549446105957,
-0.8268290758132935,
0.6954295635223389,
-0.24970360100269318,
0.5019179582595... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into English.
Example input: 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
Example output: And it was primarily because Kiribati realized that this was in their own self-interest to do this.
Example explanation: The Japanese sentence is correctly tr... | That the truth consists of hard to vary assertions about reality is the most important fact about the physical world. | 3 | NIv2 | task1222_ted_translation_ja_en | fs_opt | [
0.6780557036399841,
0.7092190980911255,
-0.04571230709552765,
-0.38983353972435,
-0.6473819017410278,
-1.3625235557556152,
0.8531215190887451,
-0.2153896987438202,
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-0.7214446067810059,
0.15605419874191284,
-0.7151033878326416,
0.5363324284553528,
... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: toxic and non-toxic. Toxicity is defiend as anything that is rude, disrespectful, or unreasonable that would make someone want to leave a converation.
Comment: Nosey local idiots calling the p... | Non-toxic
| 0 | NIv2 | task327_jigsaw_classification_toxic | fs_opt | [
-0.4666443467140198,
0.6274094581604004,
0.5461371541023254,
0.37436896562576294,
-0.3385655879974365,
-1.3879280090332031,
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0.13919168710708618,
0.3124132454395294,
0.46199265122413635,
-0.7097185254096985,
0.06913918256759644,
-0.475845068693161,
-1.1032016277313232,
... |
Detailed Instructions: A text is given in Hindi. Translate it from the Hindi language to the Urdu language. The translation must not omit or add information to the original sentence.
Problem:माता का नाम : श्रीमती रजनी जावड़ेकर
Solution: | والدہ کا نام: محترمہ رنجنی جاوڈیکر | 8 | NIv2 | task1053_pib_translation_hindi_urdu | zs_opt | [
0.055884696543216705,
0.6561601161956787,
-0.9260072112083435,
-0.016962401568889618,
-0.2598874866962433,
-0.005298291333019733,
0.9167866706848145,
-0.060469672083854675,
-0.2684839963912964,
-0.4280000329017639,
-0.6538394093513489,
-0.39195510745048523,
-0.5928726196289062,
-0.36021581... |
In this task, you are given a text which is the body of a document. You are given a question and options. Pick the correct number. Don't generate anything else apart from the numbers provided in options.
Example input: Text: The Mansfield Building Society is a UK building society which has its headquarters in Mansfiel... | 4 | 3 | NIv2 | task633_dbpedia_14_answer_generation | fs_opt | [
-0.32356569170951843,
0.2857513725757599,
0.5084686875343323,
-0.16237375140190125,
-0.024179499596357346,
-0.7097622156143188,
-0.5161283016204834,
1.0853160619735718,
-0.43031102418899536,
-0.03225289285182953,
-0.5375514626502991,
-0.2197098433971405,
-0.32462263107299805,
-0.4773106873... |
Q: In this task, you are given a text which is the body of a document. You are given a question and options. Pick the correct number. Don't generate anything else apart from the numbers provided in options.
Context: The name of Iowa- and Nebraska-based Hamilton College no longer exists. All seven campuses are now named... | 1 | 7 | NIv2 | task633_dbpedia_14_answer_generation | zs_opt | [
0.2364295870065689,
0.25038427114486694,
0.3030461370944977,
-0.39274120330810547,
-0.3531072437763214,
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-0.032701533287763596,
-0.14556513726711273,
-0.5027116537094116,
0.1851106584072113,
0.10853226482868195,
-0.226038902997... |
Q: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Portugese.
در دبیرستان ، آکادمی اورسلین ، راهبه ها خدمات و عدالت اجتماعی را در مدرسه اجباری کردند.
A: | No liceu, na Ursuline Academy, as freiras davam grande prioridade ao serviço ao próximo e à justiça social. | 7 | NIv2 | task1273_ted_translation_fa_pt | zs_opt | [
-1.2090460062026978,
0.819056510925293,
-0.031676676124334335,
-1.0868631601333618,
-0.446267306804657,
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0.028619391843676567,
0.5623061060905457,
0.5802873969078064,
-0.5718180537223816,
0.058442823588848114,
-0.16231289505958557,
0.18557336926460266,
0.1176920309662818... |
In this task, you are given a Reddit post as a text. Your task is to generate a title for this text. The title should start with "TIFU by", followed by a situation that caused humor. The title should contain 7-12 words, ideally.
Q: Text: last night i fucked up. my friend had a pool party and but i didn't want to take m... | (NSFW/NSFL) TIFU by riding a bicycle commando with pool shorts. | 4 | NIv2 | task510_reddit_tifu_title_summarization | zs_opt | [
0.05941946804523468,
0.9663079977035522,
-0.4032120704650879,
0.018223166465759277,
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-0.06359462440013885,
0.589568018913269,
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-0.15645620226860046... |
Teacher: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. If the conversation begins with a question, label it '1' otherwise '0'.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Person1: Passport ,... | 1 | 2 | NIv2 | task1534_daily_dialog_question_classification | fs_opt | [
0.40240010619163513,
0.02678680792450905,
-0.2803994417190552,
0.2699437737464905,
0.00040260772220790386,
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0.21447451412677765,
0.08912897109985352,
-0.24020183086395264,
-0.33836859464645386,
-0.13048762083... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
A text is given in Panjabi. Translate it from the Panjabi language to the Telugu language. The translation must not omit or add information to the original sentence.
ఎఫ్కు చెందిన గ్రూప్ -ఎ ఎక్సిక్య... | ਮਾਰਚ, 2018 ਤੱਕ ਕੁਲ 2. | 0 | NIv2 | task1066_pib_translation_telugu_punjabi | fs_opt | [
-0.890373945236206,
0.12082166969776154,
-0.2663750648498535,
-0.3108741044998169,
-0.06705613434314728,
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0.7302044034004211,
0.7168529033660889,
0.21180316805839539,
0.40476417541503906,
-0.2744215726852417,
-0.005759134888648987,
-0.8603883385658264,
-0.00334323430433... |
In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original" or "Changed" based on... | Original | 4 | NIv2 | task515_senteval_odd_word_out | zs_opt | [
-0.6990296840667725,
0.8362305164337158,
0.2691662609577179,
-0.20578666031360626,
-0.006852574646472931,
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0.3265524208545685,
1.0228776931762695,
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-0.23740047216415405,
-0.8399312496185303,
-0.3800552487373352,
-1.0110111236572266,
-0.034128252416849... |
TASK DEFINITION: You are given a sentence in Polish. Your job is to translate the Polish sentence into Spanish.
PROBLEM: Po prostu dodałem go, byśmy mieli wystarczająco duży budżet, aby w razie konieczności mieć co odjąć.
SOLUTION: Simplemente la añadí para tener suficiente dinero en el presupuesto para así poder quit... | Estarán absolutamente felices con este juego.
| 8 | NIv2 | task1258_ted_translation_pl_es | fs_opt | [
-0.1563080996274948,
0.6821074485778809,
-0.5070062875747681,
0.03302590548992157,
-0.5082520246505737,
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1.16615891456604,
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0.3670951724052429,
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-0.7989274859428406,
0.1897791624069214,
-0.811775803565979,
0.4417732357978821,
0.7... |
In this task you will be given a list of strings and you need to concatenate them.
['desert', 'i', 'f', 'B', 'r', 'bows', 'H'] | desertifBrbowsH | 0 | NIv2 | task079_conala_concat_strings | zs_opt | [
0.30226802825927734,
0.06970454007387161,
-0.2694161832332611,
-0.631397008895874,
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-0.16198813915252686,
-1.2346696853637695,
-0.49732452630996704,
-0.20633471012115479,
0.0974145084619... |
The input is a sentence with a missed word and an emotion. Your task is to fill in the blank with a word that matches the emotion and rewrite the completed sentence. The emotion is one of ['fear', 'joy', 'anger', 'sadness'].
Example input: SENTENCE: Alphonso feels <blank>.
EMOTION: sadness
Example output: Alphonso fe... | Lamar found himself in a vexing situation. | 3 | NIv2 | task1339_peixian_equity_evaluation_corpus_text_completion | fs_opt | [
-0.0740814283490181,
0.23512379825115204,
0.21453438699245453,
-1.0640008449554443,
-0.35232436656951904,
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1.5840981006622314,
0.5401600003242493,
-0.05992652475833893,
-0.2178594022989273,
0.005717798136174679,
-0.09166824817657471,
-0.5416175723075867,
0.536191046237... |
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 you shoul... | [3, 1215, 4375, 19, 21, -205] | 8 | NIv2 | task852_synthetic_multiply_odds | fs_opt | [
0.1323215216398239,
-0.1665278524160385,
-0.8790884613990784,
-0.09353815019130707,
0.3385806679725647,
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1.1181131601333618,
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0.0037492625415325165,
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-0.2797544002532959,
-0.28561002016067505,
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Translate from English to Hindi.
One example: Go to the employment office.
Solution is here: रोजगार कार्यालय जाओ.
Explanation: The translation is accurate.
Now, solve this: In the rice stink.
Solution: | बदबूदार चावल में. | 6 | NIv2 | task1329_open_subtitles_en_hi_translation | fs_opt | [
-0.5194362998008728,
0.5014292597770691,
-0.19036389887332916,
0.45534035563468933,
0.32725292444229126,
-0.35481885075569153,
-0.5345815420150757,
0.5841097235679626,
0.25419971346855164,
0.2935791015625,
-0.39265936613082886,
-0.20213335752487183,
-0.15897125005722046,
0.2827455997467041... |
In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct a sentence that (a) captures the facts specified in the triples and (b) is a well-formed sentence easily understandable b... | James Lagerstrom won the silver medal for downhill Alpine Skiing for the LW4 class in the 2002 Winter Paralympics. | 4 | NIv2 | task1409_dart_text_generation | zs_opt | [
-0.5469585657119751,
0.6382319927215576,
-0.38395607471466064,
-0.7572742700576782,
-0.18055130541324615,
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-0.41648727655410767,
1.4599697589874268,
-0.32690638303756714,
0.2982062101364... |
Q: In this task, positions of two consecutive words have been swapped. You need to output the position of the swaped words. e.g. in the sentence 'Seattle has nice a weather', the word 'a' and 'nice' have been swapped. These words are at 3rd and 4th position respectively. So, the output should be (3, 4). Note that the i... | (8, 9) | 7 | NIv2 | task089_swap_words_verification | zs_opt | [
-0.4727521240711212,
0.7635101675987244,
-0.01301697175949812,
-0.8069409132003784,
-0.08274075388908386,
-0.9796233177185059,
-0.0040669916197657585,
0.6150379776954651,
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-0.0791592001914978,
-0.12503808736801147,
0.0789063423871994,
0.13108155131340027,
-0.02647968009... |
Detailed Instructions: Languages typically provide more than one grammatical construction to express certain types of messages. Your task is to generate a senetence with the same meaning as given sentence, but with different grammatical construction.
Q: Bob took the woman a gift
A: | Bob took a gift to the woman | 9 | NIv2 | task132_dais_text_modification | zs_opt | [
-0.47322648763656616,
0.6787809729576111,
0.06429639458656311,
-0.017055271193385124,
0.2966189384460449,
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0.394059419631958,
0.13136886060237885,
0.7839756011962891,
-0.5938636064529419,
-0.6458340883255005,
0.08856521546840668,
-0.2826380431652069,
0.0496041439473629,... |
A question that is free of any grammatical or logcal errors, should be labeled 'yes', otherwise it should be indicated as 'no'. A question is grammatically correct if all its entities i.e. nouns, verbs, adjectives, prepositions, pronouns, adverbs are at appropriate position. A question is logically correct if the seman... | Yes. | 4 | NIv2 | task021_mctaco_grammatical_logical | zs_opt | [
0.12842914462089539,
0.5707535743713379,
0.11697903275489807,
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-0.07325436919927597,
0.1293846070766449,
-0.8404542803764343,
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... |
Part 1. Definition
In this task you will be given a list of integers. For every element in the list, if the element is positive you should multiply it by 2. If the element is negative you should multiply it by -3. The output should be a list of integers that is the result of applying that logic to the input list.
Not... | [225, 156] | 7 | NIv2 | task374_synthetic_pos_or_neg_calculation | fs_opt | [
-0.6994597911834717,
0.18820497393608093,
-0.21792496740818024,
-0.17033922672271729,
0.4334337115287781,
-0.3535446524620056,
1.3346461057662964,
0.294114351272583,
-0.06812012940645218,
-0.12142188847064972,
-0.6079303026199341,
0.04917670413851738,
-0.8610460758209229,
-0.13709703087806... |
Given the task definition and input, reply with output. This task is about translating a given French language sentence to English.
C'est un peu différent quand ça arrive en vrai!
| It's a little different, when it's real! | 5 | NIv2 | task1690_qed_amara_translation | zs_opt | [
-0.19611012935638428,
1.3945367336273193,
0.28293877840042114,
-0.10302075743675232,
-0.31260961294174194,
-0.48589858412742615,
0.25690674781799316,
0.05688316747546196,
0.7185624837875366,
-0.10149426758289337,
-0.3229374289512634,
0.4642670750617981,
-0.5091032981872559,
-0.104792796075... |
Detailed Instructions: In this task, you need to translate the given English sentence to Polish language.
Problem:Let's think about what these two equations would look like
Solution: | Zastanówmy się nad tym jak te równania będą wyglądały, | 8 | NIv2 | task830_poleval2019_mt_translation | zs_opt | [
-0.3053552806377411,
1.008329153060913,
0.33651578426361084,
-0.4317135214805603,
0.3512267768383026,
-0.24015942215919495,
0.9554100632667542,
-0.25975221395492554,
0.4265870153903961,
-0.5740307569503784,
-0.2595997154712677,
0.46091359853744507,
-0.6102336049079895,
0.09281188994646072,... |
Given the task definition, example input & output, solve the new input case.
In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen after that sentence. Is any of them directly caused by it, or is made possible by it? You should write your answer in the for... | Whoever earns the most box tops wins a prize >Causes/Enables> Kate spends all month finding as many box tops as possible | 1 | NIv2 | task748_glucose_reverse_cause_event_detection | fs_opt | [
-0.06344020366668701,
0.019983239471912384,
0.3980381488800049,
0.47194308042526245,
0.07130475342273712,
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-0.7867545485496521,
1.1375999450683594,
-0.3200160264968872,
-0.2049458771944046,
-0.8648585081100464,
-0.21871519088745117,
0.33754485845565796,
-0.5530650615692... |
A text is given in English. Translate it from the English language to the Panjabi language. The translation must not omit or add information to the original sentence.
Q: ਪ੍ਰਧਾਨ ਮੰਤਰੀ ਨੇ ਮਲਯਾਲਾ ਮਨੋਰਮਾ ਕਨਕਲੇਵ 2019 ਨੂੰ ਸੰਬੋਧਨ ਕੀਤਾ
A: | PM addresses the Malayala Manorama Conclave 2019 | 4 | NIv2 | task1008_pib_translation_punjabi_english | zs_opt | [
0.36986255645751953,
1.0512614250183105,
0.14036789536476135,
-0.5143914222717285,
-0.15576961636543274,
-0.9821370840072632,
0.1767590194940567,
-0.4935426712036133,
0.18395069241523743,
0.4664188027381897,
0.047544967383146286,
-0.3662777543067932,
-0.1635020524263382,
0.3590775728225708... |
In this task, you are given a review of a product in the Polish language. Your task is to classify the given product review into these three categories: 1) positive, 2)neutral, 3) negative based on its content.
Q: Text: Mega wygodne słuchawki, dźwięk na odpowiednim poziomie głośności i świetny stosunek jasności do ceny... | positive | 4 | NIv2 | task634_allegro_reviews_classification | zs_opt | [
0.35263732075691223,
0.3432459235191345,
-0.3108634948730469,
-0.03298882022500038,
0.7632143497467041,
-0.18888965249061584,
1.075956106185913,
0.8899836540222168,
-0.023407716304063797,
0.3710205554962158,
-0.05174647271633148,
0.22136074304580688,
-0.4957613945007324,
-0.396903842687606... |
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 commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "ye... | yes | 0 | NIv2 | task211_logic2text_classification | fs_opt | [
-0.182071253657341,
-0.10312670469284058,
-0.22254382073879242,
0.5474663972854614,
0.3864709436893463,
-0.5326377153396606,
0.11334031820297241,
0.6059781908988953,
0.11179862171411514,
-0.0040474943816661835,
-0.44924357533454895,
0.4311596751213074,
-0.033622413873672485,
0.637646496295... |
Q: The given sentence contains a typo which could be one of the following four types: (1) swapped letters of a word e.g. 'niec' is a typo of the word 'nice'. (2) missing letter in a word e.g. 'nic' is a typo of the word 'nice'. (3) extra letter in a word e.g. 'nicce' is a typo of the word 'nice'. (4) replaced letter in... | oyung | 7 | NIv2 | task088_identify_typo_verification | zs_opt | [
-0.6434298157691956,
0.3732776343822479,
-0.4402254819869995,
0.4996335506439209,
0.22474505007266998,
-1.2430236339569092,
1.0201271772384644,
-0.0859026312828064,
0.4320869445800781,
0.22557245194911957,
0.6937031745910645,
-0.594529390335083,
-0.6100452542304993,
-0.5983706712722778,
... |
In this task, you are given a question. Your task is to generate an answer that is relevant to the question.
Example Input: Are you familiar with Thai food?
Example Output: I eat it whenever I can!
Example Input: Want to go dancing tonight?
Example Output: Sorry, I need to finish my essay.
Example Input: Do you like... | I prefer cider
| 3 | NIv2 | task565_circa_answer_generation | fs_opt | [
0.08804085850715637,
0.5944691896438599,
0.18615348637104034,
0.0714247077703476,
-0.6505241990089417,
0.029243338853120804,
1.0014748573303223,
0.4503020644187927,
-0.23032701015472412,
0.07447521388530731,
-0.03294955939054489,
-0.11672547459602356,
-0.486002653837204,
0.5142446756362915... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
Q: In questo Paese, muoiono quasi 24 000 Canadesi per errori medici prevenibili.
A: | En este país, mueren 24 000 canadienses por errores médicos evitables. | 4 | NIv2 | task1249_ted_translation_it_es | zs_opt | [
-0.22698023915290833,
0.4513569474220276,
-0.36148345470428467,
-0.8690094351768494,
-0.301989883184433,
-0.1576356440782547,
0.16447129845619202,
1.1241233348846436,
-0.8563677072525024,
-0.22527971863746643,
-0.39726704359054565,
-0.06396438926458359,
0.3115299344062805,
0.65661203861236... |
In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by 4, if the element is odd you should multiply by 4 then add 2. The output should be a list of numbers that is the result of applying that logic to the input list. You should not round any decimal... | [-306, -74, -58, -210, 278, 126, -8.0, -16.0, 366, 326] | 0 | NIv2 | task368_synthetic_even_or_odd_calculation | zs_opt | [
-0.5060857534408569,
0.6094135046005249,
-0.12333552539348602,
-0.18618571758270264,
0.19103071093559265,
0.40761762857437134,
1.308876872062683,
0.2608332335948944,
-0.27839791774749756,
0.5006891489028931,
-0.629116415977478,
-0.6369345188140869,
-0.4966091513633728,
-0.3227822780609131,... |
Given a review text from amazon and its polarity (either positive or negative). Generate answer "True" if given sentence and its polarity match, otherwise generate answer "False". A review is considered positive if the reviewer is satisfied with the product. Otherwise, it is considered negative.
Let me give you an exa... | False | 8 | NIv2 | task494_review_polarity_answer_generation | fs_opt | [
0.08420670032501221,
-0.39358481764793396,
0.28749096393585205,
0.287528395652771,
0.6641377210617065,
-0.15911315381526947,
0.6041203737258911,
0.28334110975265503,
0.31723910570144653,
0.17017796635627747,
-0.24160705506801605,
-0.010427659377455711,
-0.3804396986961365,
-0.5195825099945... |
Definition: 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.
Input: ACTION1: not wanting my wife to book a hotel by herself for a night away ... | no | 2 | NIv2 | task508_scruples_dilemmas_more_ethical_isidentifiable | zs_opt | [
-0.17893841862678528,
-0.0869876965880394,
0.06928344070911407,
0.20839142799377441,
-0.062004752457141876,
-0.6021347641944885,
0.06959891319274902,
0.6436635255813599,
0.27278512716293335,
0.5530439615249634,
-0.4766389727592468,
-0.36397796869277954,
-0.9625806212425232,
-0.776432216167... |
In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Spanish language.
Input: Consider Input: A 45-year-old man, with a history of febrile symptoms and chest pain, goes to the hospital with dyspnea and tachypnea. On physical examination, the blood press... | Output: La estría vascular
| 2 | NIv2 | task1432_head_qa_language_translation_en_to_es | fs_opt | [
0.47577840089797974,
0.5748922824859619,
-0.5269690752029419,
-0.21974074840545654,
0.4124643802642822,
-0.9077502489089966,
0.40740376710891724,
1.2215321063995361,
0.10842971503734589,
-0.08660758286714554,
-0.11540573835372925,
0.36472442746162415,
-0.3919897675514221,
-0.07090812176465... |
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 deter... | No | 8 | NIv2 | task1203_atomic_classification_xreact | fs_opt | [
0.603644847869873,
-0.15047302842140198,
0.3544386625289917,
-0.09814807027578354,
-0.0507817380130291,
-0.9751073122024536,
0.8039546608924866,
0.7294068336486816,
-0.8439503908157349,
-0.005104140378534794,
-0.3982752561569214,
-0.10749542713165283,
-1.0141353607177734,
-0.16944822669029... |
Detailed Instructions: In this task, you are given an input list A. You need to find all the elements of the list that are alphabets in the same order as they appear in the list A. Do not change their case/capitalization.
Problem:['b', 'z', 'U']
Solution: | b, z, U | 8 | NIv2 | task488_extract_all_alphabetical_elements_from_list_in_order | zs_opt | [
0.4648834764957428,
0.8912275433540344,
-0.6561204791069031,
-0.19709667563438416,
0.23554740846157074,
0.31063294410705566,
1.0759761333465576,
-0.584160566329956,
0.013287496753036976,
-0.011257752776145935,
0.3676002621650696,
0.025422275066375732,
0.45816570520401,
-0.14006485044956207... |
Teacher:Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
Teacher: Now, understand the problem? Solve this instance: English sentence: While the integrated Intel UHD 620 graphics card may be the weakest point of the X1 Tablet, the machine m... | Ezie na integrated Intel UHD 620 ndịna-emeputa kaadị nwere ike na-ekweghị n'ókè nke X1 Tablet, igwe jisiri aka ụfọdụ nnukwu 23,000-pixel obosara oyiyi enweghị agbasa ukwuu nke a ajirija . | 6 | NIv2 | task452_opus_paracrawl_en_ig_translation | zs_opt | [
-0.496182918548584,
0.09901531785726547,
-0.0074889021925628185,
-0.5649040341377258,
0.09789127111434937,
-1.3695957660675049,
0.3991842269897461,
0.5027285814285278,
-0.21365508437156677,
-0.5422030687332153,
0.35368800163269043,
0.0800122320652008,
-0.24324753880500793,
-0.1638662517070... |
Given scientific fact as input, generate the question from this fact such that it can be answered from the input.
Input: Consider Input: Humans have 23 pairs pairs of chromosomes.
Output: How many pairs of chromosomes do human have ?
Input: Consider Input: The tilt of earth on its axis is one factor that contribute... | Output: Diffusion is an effective transport mechanism over the spatial scales typically found at what level?
| 2 | NIv2 | task1552_scitail_question_generation | fs_opt | [
-0.24858516454696655,
0.23169802129268646,
-0.4040924906730652,
0.5940933227539062,
-0.11088494211435318,
-0.9244457483291626,
-0.14690840244293213,
-0.037527769804000854,
0.11963289231061935,
-0.23802423477172852,
-0.6865294575691223,
0.8072566986083984,
-1.0106406211853027,
-0.2921088337... |
Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
English sentence: Filed Under: Champions League, Europa, Tickets Tagged With: champions league, europa
Gbara akwụkwọ N'okpuru: Champions League, Europa, Tiketi Akpado Na: champions league, ... | Nicole, ị na-amaghị eziokwu.
| 0 | NIv2 | task452_opus_paracrawl_en_ig_translation | fs_opt | [
0.2921399474143982,
-0.018466807901859283,
-0.004050468094646931,
0.8657814264297485,
0.019971005618572235,
-0.6353529095649719,
1.0009058713912964,
-0.3133026957511902,
0.1608770787715912,
0.374248743057251,
0.5396847724914551,
0.06285388022661209,
-0.6911149621009827,
0.1326911598443985,... |
In this task, you are given two statements. The task is to output whether a given textual premise, i.e. Statement 2, entails or implies a given scientific fact, i.e. Statement 1. The output should be 'entails' if Statement 2 supports Statement 1 and should be 'neutral' otherwise.
Input: Consider Input: Sentence 1: You... | Output: neutral
| 2 | NIv2 | task1554_scitail_classification | fs_opt | [
0.006679703947156668,
0.4243847727775574,
0.12764114141464233,
-0.053339097648859024,
0.09033233672380447,
-0.8398748636245728,
-0.7753875851631165,
0.47729557752609253,
0.40619921684265137,
0.16171151399612427,
-0.7838998436927795,
-0.4475574493408203,
-0.3497687578201294,
-0.400103002786... |
instruction:
You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese.
question:
Poi ho scoperto il corpo della ROTC.
answer:
そこでROTC (予備役将校訓練課程) に出会い
question:
E già avevano un robot a sei gambe chiamato LEMUR.
answer:
その時すでにLEMURという6本脚ロボットが開発されていて
question:
In realtà, [non ... | 実際に今もそう言う人もいます
| 9 | NIv2 | task1248_ted_translation_it_ja | fs_opt | [
-0.10636892914772034,
0.10127057135105133,
-0.16486471891403198,
0.18680086731910706,
-0.4975815415382385,
-0.6536716818809509,
0.16659174859523773,
0.3182499408721924,
0.11153975129127502,
-0.7745561003684998,
-0.8303649425506592,
0.14489853382110596,
-0.5861567258834839,
0.69810664653778... |
Given a sentence in Igbo language, translate the sentence to English language keeping the meaning of the original sentence intact
Let me give you an example: Igbo sentence: Olee kwere omume?
The answer to this example can be: How is this possible
Here is why: The English translation means the same as the original sent... | 13 Hear ye, and testify in the house of Jacob, saith the Lord GOD, the God of hosts, 14 That in the day that I shall visit the transgressions of Israel upon him I will also visit the altars of Bethel: and the horns of the altar shall be cut off, and fall to the ground. | 8 | NIv2 | task449_opus_paracrawl_ig_en_translation | fs_opt | [
-0.23031878471374512,
0.8921149969100952,
0.1253013014793396,
-0.03778065741062164,
0.10872876644134521,
-0.9662545919418335,
0.6266160607337952,
0.9953415989875793,
0.3771684765815735,
-0.41919729113578796,
-0.6946672201156616,
0.5283242464065552,
-0.7105525732040405,
-0.2449110746383667,... |
Given the task definition and input, reply with output. 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.
PersonX e... | his children to be smart | 5 | NIv2 | task1596_event2mind_text_generation_2 | zs_opt | [
-0.4750738739967346,
0.6370946764945984,
0.03095218352973461,
-0.18591316044330597,
-0.6130216717720032,
-0.31171196699142456,
0.8504064083099365,
0.44610416889190674,
0.35759440064430237,
-0.37623071670532227,
-0.36942604184150696,
0.1626865416765213,
-0.5746618509292603,
0.56536579132080... |
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.
Input: Consider Input: ชายคนนั้นถูกยิงเพียงหนึ่งครั้ง และแผลก็ไม่อันตรายถึงชีวิต
Output: 男は銃弾を1つ受けただけで、傷も生死にかかわるものではない。
Input: Consider Input: ส่ว... | Output: ドイツ当局は、新しい潜水艦の契約書は7月6日に署名されたと確認している。
| 2 | NIv2 | task1128_alt_th_ja_translation | fs_opt | [
-0.6424885988235474,
0.3870500326156616,
-0.545484185218811,
-0.40444836020469666,
0.3733975291252136,
-1.1546355485916138,
0.8983696103096008,
0.24523602426052094,
0.012529546394944191,
-0.06672012060880661,
-0.41023844480514526,
0.6856440305709839,
-0.7872104644775391,
0.3481163382530212... |
Given the task definition and input, reply with output. In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additio... | strengthener | 5 | NIv2 | task937_defeasible_nli_social_classification | zs_opt | [
-0.5768638849258423,
0.7364366054534912,
0.16484427452087402,
0.39599478244781494,
0.12715217471122742,
-0.4427528381347656,
0.7682279348373413,
0.6533680558204651,
0.4385194778442383,
-0.6922066807746887,
-1.465160846710205,
0.03477736935019493,
-0.33836913108825684,
-0.035297930240631104... |
Q: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. If the conversation begins with a question, label it '1' otherwise '0'.
Person1: Hey , you wanna see a movie tomorrow ?
Person2: Sounds like a good plan . What do you want to see ?
... | 0 | 7 | NIv2 | task1534_daily_dialog_question_classification | zs_opt | [
-0.09477423131465912,
0.9729461669921875,
0.17850324511528015,
-0.20947428047657013,
-0.18670260906219482,
0.018399227410554886,
0.49571114778518677,
-0.29056668281555176,
-0.08796000480651855,
-0.07452515512704849,
-0.31324827671051025,
-1.0247958898544312,
-0.11482002586126328,
-0.055128... |
Q: You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Do czego porównać 404? To jak wyjście do Starbucksa, za ladą ktoś jest, podchodzicie, ale nie ma mleczka do kawy.
A: | تحاول تخيل ما هو شعور 404 وهو يبدو كما لو أنك ذهبت الى ستار بكس وها هو الرجل خلف المنضدة وانت واقف هناك ولا يوجد حليب مقشود | 7 | NIv2 | task1259_ted_translation_pl_ar | zs_opt | [
-1.208919882774353,
0.9697459936141968,
0.008125534281134605,
-0.8152709007263184,
-0.028451479971408844,
0.8335628509521484,
0.4481489658355713,
-0.15309780836105347,
0.5666007399559021,
0.41424205899238586,
-0.11879254877567291,
-0.38505351543426514,
-0.24516916275024414,
-0.341353297233... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into English.
そこにはチャンスがあるはずです | When you find that place, see the opportunity. | 0 | NIv2 | task1222_ted_translation_ja_en | zs_opt | [
-0.666332483291626,
0.0489518940448761,
0.4921782612800598,
-0.3416317105293274,
0.20788775384426117,
0.42976611852645874,
0.22410818934440613,
0.14587415754795074,
0.5117150545120239,
-0.5332299470901489,
-0.21383312344551086,
0.26377299427986145,
0.004105402156710625,
0.4034098982810974,... |
Q: In this task, you're given a context, a question, and three options. Your task is to find the correct answer to the question using the given context and options. Also, you may need to use commonsense reasoning about social situations to answer the questions. Classify your answers into 'A', 'B', and 'C'.
Context: Jor... | C | 7 | NIv2 | task580_socialiqa_answer_generation | zs_opt | [
-0.5188262462615967,
0.4676096439361572,
-0.2364637553691864,
-0.07928226888179779,
0.17463815212249756,
-0.7331335544586182,
0.589182436466217,
0.512945830821991,
0.007466720417141914,
0.6278694868087769,
0.020544374361634254,
0.41302579641342163,
-0.05945277214050293,
-0.7638357877731323... |
Q: In this task, you are given two natural language statements with similar wording. You must choose the statement that makes less sense based on common sense knowledge. A '
' separates the statements. Use "first" or "second" to indicate which sentence makes less sense.
Susy cleaned her home with pork grease
Susy clean... | first | 7 | NIv2 | task291_semeval_2020_task4_commonsense_validation | zs_opt | [
-0.658977210521698,
0.8477920889854431,
-0.1130189299583435,
-0.5165586471557617,
-0.20447510480880737,
-0.6753109693527222,
0.08035627007484436,
0.2970462739467621,
0.3776015043258667,
0.6073687076568604,
-0.12728001177310944,
0.01827497035264969,
-0.3588032126426697,
-0.527031660079956,
... |
In this task, you are given a text from tweets and a boolean question whether this tweet has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Ex Input:
Tweet: work till 11 boo rather be out at the lake! Questi... | no
| 1 | NIv2 | task196_sentiment140_answer_generation | fs_opt | [
-1.2789452075958252,
0.29881107807159424,
0.2112441211938858,
-0.047953106462955475,
-0.031546592712402344,
-1.550367832183838,
0.15556931495666504,
0.0975106954574585,
0.32363301515579224,
0.16189581155776978,
0.18953928351402283,
-0.3748292028903961,
-0.2914157807826996,
-0.6019440889358... |
Instructions: In this task, you are given a sentence from the Bible in English, and your task is to translate it into Persian.
Input: The LORD God of heaven, which took me from my father's house, and from the land of my kindred, and which spake unto me, and that sware unto me, saying, Unto thy seed will I give this lan... | پس خادم دست خود را زیرران آقای خود ابراهیم نهاد، و در این امر برای اوقسم خورد. | 3 | NIv2 | task655_bible_en_fa_translation | zs_opt | [
-0.6335002779960632,
1.6858112812042236,
-0.6424249410629272,
-0.41905176639556885,
-0.334504634141922,
-0.45725905895233154,
0.8699617385864258,
0.33146604895591736,
0.15104210376739502,
-0.020849954336881638,
-0.7232810258865356,
1.0867900848388672,
-1.3520526885986328,
-0.31042385101318... |
In this task, you are given a sentence which is either in the Swedish language or English language. You task is to identify the language of input sentence. Input sentence can be in Swedish or English language only and also it cannot have two languages at a time.
In 1998, the largest case concerned the supply of compan... | Swedish
| 0 | NIv2 | task315_europarl_sv-en_language_identification | fs_opt | [
-0.3605803847312927,
0.47260311245918274,
0.45932257175445557,
-0.3723738491535187,
0.03827769309282303,
0.3269920349121094,
0.6826721429824829,
0.0890643298625946,
0.4019118547439575,
-0.3722749948501587,
-0.06804563105106354,
0.18846499919891357,
-0.3225780129432678,
-0.4401351511478424,... |
Teacher: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: CC... | True | 6 | NIv2 | task346_hybridqa_classification | zs_opt | [
0.1780991107225418,
-0.19580256938934326,
-0.18300499022006989,
0.36320269107818604,
0.0009860130958259106,
-0.32383620738983154,
0.7349147796630859,
0.2341795563697815,
-0.428731232881546,
-0.2700849771499634,
-0.524181604385376,
-0.1613340675830841,
-0.14826342463493347,
-0.4344709515571... |
instruction:
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In the translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
question:
न्यायाधीशों ने दास के अकाट्य तर्क को स्वीकार करते ... | ” BEING A CHILDMINDER IS A MARVELLOUS OPPORTUNITY TO GET THE BALANCE RIGHT FOR CHILDREN , BUILDING THEIR SELF-ESTEEM .
| 9 | NIv2 | task424_hindienglish_corpora_hi_en_translation | fs_opt | [
-0.20685303211212158,
0.3142774701118469,
-0.3433617949485779,
0.10788225382566452,
0.2671250104904175,
-0.7054463028907776,
1.0458682775497437,
0.35189297795295715,
0.5932402610778809,
-0.6679595708847046,
-0.909134030342102,
0.17125114798545837,
-0.9291936159133911,
0.49504947662353516,
... |
Given a sentence in the Central Khmer, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
គេហទំព័រវីឃីញូ បានធ្វើការស៊ើបអង្កេតការនិយាយបែបនោះបន្តទៀត បន្ទាប់ពីឃើញការចោទប្រកាន់ទាំងនេះ។
ウィキニュースは、これらの申し立てを見た後に、更に主張について調査した。
ផឺតូរីកូគឺជ... | トルコの最後の犠牲者FatmaOzcanも１５歳だった。
| 0 | NIv2 | task1122_alt_khm_ja_translation | fs_opt | [
0.24480405449867249,
0.05857604742050171,
-0.299988329410553,
-0.7014822959899902,
-0.0022762874141335487,
-0.39235204458236694,
0.7585337162017822,
0.28525757789611816,
-0.28384825587272644,
0.1159587949514389,
-0.6957758069038391,
0.44942548871040344,
-1.0642061233520508,
0.2008647322654... |
In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct a sentence that (a) captures the facts specified in the triples and (b) is a well-formed sentence easily understandable b... | Cocum, a highly rated but not child friendly, coffee shop also offers Indian food in the more than £30 price range. | 9 | NIv2 | task1409_dart_text_generation | fs_opt | [
-0.19758638739585876,
-0.060669559985399246,
-0.29574716091156006,
-0.6659006476402283,
0.3087635040283203,
0.11574520170688629,
-0.07351921498775482,
1.0076407194137573,
-0.5509360432624817,
-0.00399077869951725,
0.04660376161336899,
-0.12826505303382874,
-0.12477073073387146,
-0.79550588... |
Q: In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
[[14, -49, -9, 48, 24], [2, -28, 21, -16]]
A: | [7112448, 18816] | 7 | NIv2 | task371_synthetic_product_of_list | zs_opt | [
-0.19736561179161072,
0.7121418714523315,
-0.6525427103042603,
-0.4313807189464569,
-0.26513075828552246,
-0.07018230855464935,
1.625135064125061,
-0.3226741850376129,
-0.3943917453289032,
-0.35670074820518494,
-0.9770165681838989,
0.41263407468795776,
-0.7715007066726685,
-0.1182978451251... |
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content.
Input: Proponuję pozbawić obywatelstwa polskiego i objąć zakazem powrotu do Polski wszystkie te euromendy jak im się skończy kadencja w UE
Output: | 1 | 2 | NIv2 | task838_cdt_classification | zs_opt | [
-1.1882765293121338,
0.28169316053390503,
0.35706308484077454,
0.6071767807006836,
-0.21374042332172394,
0.12231218814849854,
0.3443848490715027,
0.3622903823852539,
0.09033448249101639,
0.35459423065185547,
-0.06789454817771912,
0.07870728522539139,
0.128513902425766,
-0.3274642825126648,... |
Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third is when an individual has a ... | Solution: blue_suitcase | 5 | NIv2 | task152_tomqa_find_location_easy_noise | fs_opt | [
0.20013849437236786,
-0.005340989213436842,
-0.4894547462463379,
-0.045833565294742584,
-0.3334965407848358,
-0.5991250872612,
0.4807707667350769,
0.5208784341812134,
0.0018442058935761452,
-0.10839205235242844,
-0.35138413310050964,
0.7905464172363281,
0.22550056874752045,
0.0348059237003... |
In this task, you are given a tuple, comprising 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... | Yes
| 3 | NIv2 | task1199_atomic_classification_xattr | fs_opt | [
0.43984705209732056,
-0.15107250213623047,
0.21160823106765747,
0.10442028939723969,
-0.25549861788749695,
-1.225766658782959,
1.0465948581695557,
0.8884572386741638,
-0.8042439222335815,
-0.2668514847755432,
-0.2863472104072571,
-0.3042987585067749,
-0.6531642079353333,
-0.045775659382343... |
In this task, you need to Translate Czech text to English.
--------
Question: Řešení se týká uvedeného enantiomeru cimaterolu, který je nositelem účinnosti sloučeniny a jeho solí, zvláště adičních solí s kyselinami. Součást řešení tvoří také farmaceutický prostředek s obsahem této látky, určený pro léčení otylosti, obs... | A new isolated antigen, Boirela burgdorferi sensu strictoje characterized by a relative molecular weight of 39.5 kDa. This antigen is expressed in vitro by spirochetes of strain B. burgdorferi sensu stricto. this antigen induces production antibodies that kill the B. burgdorferi strain sensu stricto in vitro by AD... | 7 | NIv2 | task842_para_pdt_cs_en_translation | fs_opt | [
0.30332472920417786,
0.4635887145996094,
-0.6192106604576111,
-0.10727304220199585,
0.12374909222126007,
-0.6841064095497131,
0.32738178968429565,
1.061039686203003,
0.37962472438812256,
0.034618355333805084,
-0.39816251397132874,
0.7598573565483093,
-0.5088521242141724,
0.2155434191226959... |
Given the task definition and input, reply with output. In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
Why is Strasbourg not a typical seat?, Context: In 1949, the city was chosen to be the seat of the Council of Europe with its European Court ... | only the (four-day) plenary sessions of the Parliament are held in Strasbourg each month, with all other business being conducted in Brussels and Luxembourg | 5 | NIv2 | task1295_adversarial_qa_question_answering | zs_opt | [
0.46339666843414307,
0.9858540296554565,
-0.37060075998306274,
0.28443652391433716,
0.12462297081947327,
-0.10761719942092896,
0.15403981506824493,
0.3621187210083008,
0.39973390102386475,
0.793198823928833,
0.9078041911125183,
0.8460566401481628,
-0.9878020882606506,
0.3373947739601135,
... |
Detailed Instructions: A text is given in Bengali. Translate it from the Bengali language to the Urdu language. The translation must not omit or add information to the original sentence.
Problem:প্রধানমন্ত্রী ভারতীয় বংশোদ্ভুতদের ভারত সফরে আসার এবং নিজের চোখে পরিবর্তন প্রতক্ষ্য করার আমন্ত্রণ জানান।
Solution: | وزیر اعظم نے ہند نژاد برادری کو ہندوستان میں آرہی تبدیلیوں کو بہ خود دیکھنے کے لئے ہندوستان آنے کی دعوت دی۔ | 8 | NIv2 | task1069_pib_translation_bengali_urdu | zs_opt | [
-0.07783562690019608,
0.6857069730758667,
-0.23186878859996796,
-0.45027291774749756,
-0.6814043521881104,
-0.3892391324043274,
0.7545549869537354,
-0.4688277840614319,
-0.26600703597068787,
-0.45234066247940063,
-0.6632769107818604,
-0.23305702209472656,
0.164948970079422,
0.0808433219790... |
Definition: A text is given in Malayalam. Translate it from the Malayalam language to the Marathi language. The translation must not omit or add information to the original sentence.
Input: या बरोबरच वीज निर्मिती, वीज वहन, वितरण आणि साठा करण्यातील समस्या दूर करणे हे देखील तितकेच महत्वाचे आहे.
Output: | വൈദ്യുതി ഉല്പ്പാദിപ്പിക്കുന്നതു പോലെത്തന്നെ അവയുടെ വിതരണവും പ്രസരണവും സംഭരണവും ഞങ്ങള്ക്ക് പ്രധാനമാണ്. | 2 | NIv2 | task1072_pib_translation_marathi_malayalam | zs_opt | [
0.4928608536720276,
0.9346262812614441,
0.04852724447846413,
-0.27769526839256287,
-0.2583780288696289,
-0.6151909828186035,
0.6623244881629944,
0.6075986623764038,
-0.0838531106710434,
0.21423862874507904,
-0.6251396536827087,
-0.24735309183597565,
-0.6912436485290527,
-0.0158897694200277... |
Definition: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.
Input: それは孫の数を増やす事ではないのです
Output: | No es maximizar la cantidad de nietos que uno tiene. | 2 | NIv2 | task1223_ted_translation_ja_es | zs_opt | [
-0.28519177436828613,
-0.001918481895700097,
-0.6155571937561035,
-0.13941530883312225,
-0.7712136507034302,
0.2236383855342865,
0.2625576853752136,
0.23451681435108185,
0.8009663224220276,
-0.7963991761207581,
-0.020417043939232826,
0.30908751487731934,
-0.7527794241905212,
0.266380429267... |
Detailed Instructions: 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.
Q: 1, ['H', 'O', 'S', 'y']
A: | O, S, y | 9 | NIv2 | task064_all_elements_except_first_i | zs_opt | [
0.3463602662086487,
0.7054671049118042,
-0.20966994762420654,
-0.3003128170967102,
-0.004728902596980333,
-0.7966656684875488,
0.22297030687332153,
-0.11212997138500214,
0.39550507068634033,
-0.49478161334991455,
-0.74507737159729,
-0.265242338180542,
0.8640071153640747,
-0.287157773971557... |
Detailed Instructions: Generate an appropriate title for the given text. The generated title must be short and include the main topic of the text. The preferred titles are under fifteen words.
Q: Kirsty Jones, 23, from Tredomen, near Brecon in Powys, was raped and strangled at a guesthouse in Thailand in August 2000. D... | Kirsty Jones: Days remain to find backpacker's killer | 9 | NIv2 | task1356_xlsum_title_generation | zs_opt | [
0.1363995522260666,
0.10752854496240616,
-1.0674567222595215,
-0.10337649285793304,
0.23440687358379364,
-0.637661337852478,
0.6179981827735901,
0.858528733253479,
-0.35332155227661133,
1.1177681684494019,
-0.24773013591766357,
1.5120905637741089,
-0.6237078309059143,
0.7408027648925781,
... |
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 ... | jump around left thrice and walk left thrice
| 7 | NIv2 | task127_scan_long_text_generation_action_command_all | fs_opt | [
0.2985183298587799,
0.9338226318359375,
-0.33409789204597473,
0.24792909622192383,
-0.11674962937831879,
0.33093464374542236,
-0.20821025967597961,
0.7843599915504456,
-0.34387606382369995,
-0.27835386991500854,
-0.8589801788330078,
-0.2010706067085266,
-0.7102478742599487,
-0.040312938392... |
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are fine labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is : '$': D... | DT | 4 | NIv2 | task584_udeps_eng_fine_pos_tagging | zs_opt | [
0.04839390143752098,
0.24757173657417297,
-0.09590362757444382,
0.3575766682624817,
-0.06628241389989853,
-0.375299870967865,
0.5779301524162292,
1.0688117742538452,
-0.6177714467048645,
-0.1929488480091095,
-0.11562711745500565,
0.14774635434150696,
-0.04427754878997803,
-0.01735926419496... |
Q: In this task, you're given a context, a question, three options, and an answer. Your task is to classify whether the given answer is correct or not by providing 'Yes' or 'No', based on the context with commonsense reasoning about social situations.
Context: austin was a creep so he shuffled past casey's feet.
Ques... | Yes | 7 | NIv2 | task579_socialiqa_classification | zs_opt | [
0.09599334001541138,
-0.264555960893631,
0.500558078289032,
0.11453329026699066,
-0.09780146181583405,
-0.11080174893140793,
-0.11305192112922668,
0.3894694447517395,
0.30761152505874634,
0.5563056468963623,
0.3396878242492676,
0.1877932846546173,
-0.07731469720602036,
-0.5387433767318726,... |
Part 1. 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.
Part 2. Example
Article: Homework can put you... | This passage is meant for people who _ . | 7 | NIv2 | task649_race_blank_question_generation | fs_opt | [
0.014439260587096214,
0.03069864585995674,
-0.2198958694934845,
-0.22055400907993317,
0.6033889651298523,
-0.20611870288848877,
1.1496671438217163,
0.8167850971221924,
-0.36342453956604004,
0.08851839601993561,
-0.014498021453619003,
0.3187851905822754,
-0.2667103409767151,
0.3916940987110... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in English. Your job is to translate the English sentence into Japanese.
Example: And it was primarily because Kiribati realized that this was in their own self-interest to do this.
Output: 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... | 様々な身振りを解釈します | 1 | NIv2 | task1218_ted_translation_en_ja | fs_opt | [
0.566153347492218,
0.5478570461273193,
-0.16346195340156555,
0.16673514246940613,
0.10046695172786713,
-0.029504060745239258,
0.4881482720375061,
0.32647502422332764,
-0.0187092162668705,
-0.2476864755153656,
-0.2895163297653198,
-0.12270713597536087,
0.009999607689678669,
0.03036625310778... |
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.
Q: I just ordered this, came today and thought I would just try it, well to my amazement,My little Daisy ate it and wanted more.My little Dog is just 8 yrs but ha... | Positive | 4 | NIv2 | task586_amazonfood_polarity_classification | zs_opt | [
-0.28444594144821167,
-0.038635555654764175,
0.15014031529426575,
-0.6390948295593262,
-0.4611886143684387,
-0.029540598392486572,
0.2443317472934723,
0.5944899916648865,
-0.11680109798908234,
0.48886099457740784,
-0.20257782936096191,
0.035622913390398026,
-0.28984060883522034,
0.13567417... |
Definition: Generate a question which can yield the answer mentioned in the input. Generated question must be answered by the answer provided in input, without using any extra knowledge.
Input: Context : Get Water! is a mobile game about the water scarcity in India and South Asia, and the effects it has on girls' educa... | Which place does Get Water! exist in? | 2 | NIv2 | task1326_qa_zre_question_generation_from_answer | zs_opt | [
-0.3308560848236084,
0.32178762555122375,
-0.64018714427948,
-0.891298770904541,
-0.4091627597808838,
-0.5238252878189087,
0.15607604384422302,
0.27948105335235596,
-0.3387379050254822,
-0.35376811027526855,
-0.425863116979599,
0.23246800899505615,
-0.7749379873275757,
0.04465524107217789,... |
Teacher:In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Teacher: Now, understand the problem? Solve this instance: @TheSims3 My game won't work anymore It keeps crashing ... it just shuts down.
Student: | negative | 6 | NIv2 | task195_sentiment140_classification | zs_opt | [
-1.5158836841583252,
-0.33855077624320984,
0.8189904689788818,
-0.0594266802072525,
0.3860475420951843,
-1.141213059425354,
-0.12681156396865845,
0.6764072179794312,
0.13266780972480774,
0.707423746585846,
-0.2727135717868805,
-0.45117172598838806,
-0.053229138255119324,
-1.077491283416748... |
Q: Generate a correct and concise answer for the question based on the words in the context.
Context : The QBZ-95 was first observed outside China on 1 July 1997, when the United Kingdom transferred the sovereignty of Hong Kong to the People's Republic of China.
Question : What year was QBZ-95 commissioned?
A: | 1997 | 7 | NIv2 | task1327_qa_zre_answer_generation_from_question | zs_opt | [
-0.5580488443374634,
1.7263150215148926,
-0.520889163017273,
-0.36987531185150146,
-0.2499823272228241,
0.26856786012649536,
0.3055599629878998,
0.40880918502807617,
0.25503480434417725,
0.39032793045043945,
0.269870787858963,
0.7803483009338379,
0.304273396730423,
1.110684871673584,
-0.... |
You are given a question or fill-in-the-blank question, two answer options (Option1 and Option2) and an Explanation. Your task is to find the correct answer (return the string of the correct option, not option1/2) for the given question from the given options and using explanation.
One example is below.
Q: Question: Th... | more | 9 | NIv2 | task178_quartz_question_answering | fs_opt | [
-0.481075644493103,
0.006199500523507595,
-0.38012462854385376,
-0.2662058472633362,
0.14288237690925598,
-0.7838941812515259,
0.11149650067090988,
1.4645787477493286,
-0.5876458883285522,
0.6451668739318848,
-0.2418316900730133,
-0.658993661403656,
-0.3536069989204407,
-0.0968609526753425... |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
در سن ۱۴ سالگی چطوری بودی؟ این سوالی است که یک فیلم کوتاه مطرح میکند.
What were you like when you were 14?
خبرنگار نیویورک تایمز چنین شاخص بالای پانصدی را با شکاندن رکورد سطح خطر اتاق سیگار فرودگاه مقایسه کرده بود.
A Ne... | Online, everyone has become an overnight expert on Syria.
| 0 | NIv2 | task662_global_voices_fa_en_translation | fs_opt | [
-0.03613140061497688,
0.8087889552116394,
-0.6460158824920654,
-0.11675943434238434,
-0.659673810005188,
0.47841042280197144,
0.8676120042800903,
0.7525051832199097,
0.5141433477401733,
-0.00864379946142435,
-0.5464566946029663,
0.5624671578407288,
-0.9238434433937073,
0.22405317425727844,... |
instruction:
You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
question:
Będą chcieli nowe wydanie.
answer:
Vorrà le nuove versioni.
question:
Pewnego dnia do warsztatu przyszedł klient, który przyniósł zegarek do czyszczenia.
answer:
Un giorno uno dei suoi clienti entrò n... | Così sta lavorando su uno strumento che può effettivamente cambiare il sistema complessivo.
| 9 | NIv2 | task1262_ted_translation_pl_it | fs_opt | [
-1.0147039890289307,
0.8450210094451904,
-0.47882401943206787,
-0.005095832981169224,
-0.43190187215805054,
-0.5986065864562988,
0.27419614791870117,
-0.023636091500520706,
0.027875063940882683,
-0.9133332371711731,
-0.6490048170089722,
0.16482529044151306,
0.21947287023067474,
0.344173014... |
Detailed Instructions: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
Problem:Comment: Easy solu... | Threat | 8 | NIv2 | task322_jigsaw_classification_threat | zs_opt | [
-0.5711333751678467,
0.6171464920043945,
0.7044470310211182,
0.0043914043344557285,
-0.2546815276145935,
-0.26446524262428284,
1.1139835119247437,
0.8708980679512024,
0.19037330150604248,
0.2579118311405182,
-0.062137410044670105,
0.12087348103523254,
-0.38567036390304565,
-0.5655423402786... |
Teacher: Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
Teacher: Now, understand the problem? If you are still confused, see the following example:
フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで... | Ang tagapamahala ng Kilmarnock na si Jimmy Calderwood, ay nagsalita pagkatapos ng laro, at sinabi tungkol sa kaniyang karanasan: "Ito ay isang napakahabang araw." | 2 | NIv2 | task1118_alt_ja_fil_translation | fs_opt | [
-0.08418859541416168,
0.4233812093734741,
-0.6756115555763245,
-0.06625807285308838,
-0.03458879142999649,
-0.6739121079444885,
0.6160567998886108,
0.6051787734031677,
-0.0320483036339283,
-0.5814673900604248,
-0.9902257919311523,
0.8081061840057373,
-0.5946468114852905,
0.7130633592605591... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Arabic.
Problem:Cuando miramos la luna pensamos: "" Soy muy pequeño. ¿Cuáles son mis problemas? "" Eso pone las cosas en perspectiva, etc., etc.
Solution: | تعلم انه حين تنظر الى القمر, تشعر, "" انني حقا صغير, ماهي مشاكلي ؟ "" تنتظم الاشياء في منظور, الخ, الخ. | 8 | NIv2 | task1228_ted_translation_es_ar | zs_opt | [
-0.02555510401725769,
1.3158873319625854,
-0.3543257415294647,
-0.8398301005363464,
-0.36732083559036255,
-0.31981509923934937,
0.8211442232131958,
0.8763360977172852,
0.35808467864990234,
0.32441985607147217,
-0.6098898649215698,
-0.5032753944396973,
-0.9093136787414551,
0.265685975551605... |
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'.
Input: Consider Input: 890... | Output: 15762
| 2 | NIv2 | task086_translated_symbol_arithmetic | fs_opt | [
-0.059068769216537476,
0.5143892168998718,
-0.49510324001312256,
-0.4954324960708618,
-0.6260895133018494,
-0.02627900056540966,
0.9286235570907593,
0.8120797872543335,
0.34761664271354675,
-0.6027934551239014,
-1.3053772449493408,
-0.3465324640274048,
-0.4179738163948059,
0.62606036663055... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
Example: אבל התחלנו לממש את הרעיון של ללמד כל ילד בנפרד.
Example solution: Pero comenzamos con la idea de un niño por vez.
Example explanation: The Hebrew sentence is correctly translated into Spanish, because the meaning is ... | Solution: Si querías hacer una película, necesitabas un equipo muy grande y un presupuesto de Hollywood. | 5 | NIv2 | task1236_ted_translation_he_es | fs_opt | [
-0.8047778010368347,
0.6397818326950073,
0.11333835124969482,
0.12901362776756287,
-0.6730004549026489,
0.07754281163215637,
0.6504946351051331,
0.48637285828590393,
0.7217172980308533,
-0.9563050270080566,
-0.14795437455177307,
-0.042070239782333374,
-0.9664541482925415,
0.317828148603439... |
Given a sentence and an entity, the task is to select the authors sentiment towards the enity. Sentiments can be Positive, Neutral and Negative. Select Positive if the sentence expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the sentence expresses no clear view tow... | Positive | 4 | NIv2 | task421_persent_sentence_sentiment_classification | zs_opt | [
-0.019390659406781197,
0.01569434255361557,
0.27450239658355713,
-0.022295789793133736,
0.37679243087768555,
-0.05070014297962189,
0.5302879810333252,
0.5113323330879211,
0.39541518688201904,
-0.31628358364105225,
0.026045087724924088,
0.47269245982170105,
0.11150127649307251,
-0.690240383... |
In this task, you are given two natural language statements with similar wording. You must choose the statement that makes less sense based on common sense knowledge. A '
' separates the statements. Use "first" or "second" to indicate which sentence makes less sense.
Let me give you an example: A mosquito stings me
I ... | second | 8 | NIv2 | task291_semeval_2020_task4_commonsense_validation | fs_opt | [
0.062442608177661896,
0.4242945909500122,
0.13019858300685883,
-0.3524777293205261,
-0.12532947957515717,
-0.8824820518493652,
0.28958696126937866,
0.5382877588272095,
-0.030282625928521156,
-0.04532958194613457,
-0.6985033750534058,
-0.45766597986221313,
-0.8812006711959839,
-0.4015271365... |
You will be given a definition of a task first, then some input of the task.
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: wanti... | no | 1 | NIv2 | task508_scruples_dilemmas_more_ethical_isidentifiable | zs_opt | [
-0.43518444895744324,
0.2551276683807373,
0.11519166082143784,
0.6099289655685425,
-0.05006445571780205,
-0.6642987728118896,
-0.35578906536102295,
0.594306230545044,
0.07440777122974396,
0.626090407371521,
-0.2634085416793823,
-0.47592830657958984,
-0.6548399925231934,
-0.9982153177261353... |
Detailed Instructions: In this task, you are given a sentence from the Quran in English, and your task is to translate it into Persian.
Q: They said: "These two are certainly (expert) magicians: their object is to drive you out from your land with their magic, and to do away with your most cherished institutions.
A: | گفتند: مسلما این دو نفر جادوگرند، میخواهند شما را با جادویشان از سرزمینتان بیرون کنند و آیین برتر شما را از بین ببرند. | 9 | NIv2 | task656_quran_en_fa_translation | zs_opt | [
-0.7369978427886963,
1.4496502876281738,
-0.13202336430549622,
-1.1717171669006348,
-0.12031907588243484,
-0.1768982708454132,
0.5030136108398438,
0.10142664611339569,
0.3778725862503052,
0.1221594288945198,
-0.8028771877288818,
0.7271721363067627,
-0.6488221883773804,
-0.07165919244289398... |
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.
Q: Rick Scott doesnt have any ties to a lo... | candidates-biography | 4 | NIv2 | task613_politifact_text_generation | zs_opt | [
-0.32756173610687256,
0.5636165142059326,
0.5103035569190979,
-0.19614440202713013,
-0.3832668662071228,
-0.2525396943092346,
0.35896334052085876,
-0.4180643558502197,
0.9312087297439575,
0.20340682566165924,
0.21007440984249115,
0.18248847126960754,
-0.739765465259552,
0.33550402522087097... |
Given a negotiation between two participants, answer 'Yes' if both participants agree to the deal, otherwise answer 'No'.
Let me give you an example: THEM: i need the hats and the ball YOU: i can give you one hat and the ball. i want 2 books and 1 hat THEM: i have to have both hats and the ball or both hats and a bo... | No | 8 | NIv2 | task1384_deal_or_no_dialog_classification | fs_opt | [
1.2570936679840088,
0.28778165578842163,
-0.18281300365924835,
0.6522748470306396,
0.511083722114563,
-0.978080689907074,
0.6345974206924438,
0.49117517471313477,
-0.317724347114563,
-0.5953264236450195,
-0.21478185057640076,
0.375277578830719,
-0.8812684416770935,
0.10105226933956146,
0... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise g... | False | 1 | NIv2 | task1309_amazonreview_summary_classification | fs_opt | [
-0.49725088477134705,
0.016915183514356613,
-0.18175417184829712,
0.2647424340248108,
0.24682185053825378,
-0.29550692439079285,
0.26079684495925903,
0.7300451993942261,
-0.6508209705352783,
0.14013051986694336,
0.05159715563058853,
0.223468616604805,
-0.04977922514081001,
-0.4038707017898... |
In this task you are given a sentence. You must judge whether subject of the main clause is singular or plural. Label the instances as "Singular" or "Plural" based on your judgment.
Ex Input:
Her yard boasted a variety of vegetation, much of it native to the area like cactus, chaparral, yucca, and sage.
Ex Output:
Si... | Singular
| 1 | NIv2 | task430_senteval_subject_count | fs_opt | [
-1.4544649124145508,
0.6246395111083984,
-0.18067535758018494,
-0.6714396476745605,
-0.579326868057251,
-0.5938443541526794,
0.6978360414505005,
0.2041599601507187,
-0.03570707142353058,
-0.09998703002929688,
-0.43210887908935547,
0.21054604649543762,
-0.5984135270118713,
0.112830705940723... |
A text is given in Hindi. Translate it from the Hindi language to the Tamil language. The translation must not omit or add information to the original sentence.
Example: इसे बढ़ाने के लिए हम भारत में जर्मनी की कंपनियों का खुली बाहों से स्वागत करने के लिए तैयार हैं।
Example solution: அதை அதிகரிக்க, இந்தியாவில் ஜேர்மனியி... | Solution: 1500-2000 டன் எடையுள்ள சரக்குகளை சுமந்து செல்லும் வர்த்தக ரீதியான சரக்கு கப்பல் மற்றும் படகு போக்குவரத்தை கங்கையாற்றில் மேற்கொள்வதற்கு இந்தத் திட்டம் வழிவகை செய்கிறது. | 5 | NIv2 | task993_pib_translation_hindi_tamil | fs_opt | [
0.0862341895699501,
0.2356729507446289,
-0.37332019209861755,
0.023709736764431,
0.1744319200515747,
-0.8323832750320435,
0.5694354772567749,
0.4467715620994568,
-0.2143680304288864,
0.40817204117774963,
-0.23921823501586914,
0.07683895528316498,
-0.9584686756134033,
-0.209827721118927,
... |
Given a sentence in French, generate a new French sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it bei... | Si vous voulez payer en espèces, alors vous devriez éviter de gérer les investissements.
| 3 | NIv2 | task406_mickey_fr_sentence_perturbation_generation | fs_opt | [
-0.09256843477487564,
0.22460617125034332,
-0.09019835293292999,
-0.13599607348442078,
0.7022286057472229,
-0.7680072784423828,
0.4839928150177002,
0.5285840034484863,
-0.2041318714618683,
0.18653853237628937,
-1.1842132806777954,
-0.09707407653331757,
-0.2501806616783142,
-0.4172722101211... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that particular part. Your labels can be one among the following: 'No emotion', 'surpris... | No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion
| 7 | NIv2 | task1532_daily_dialog_emotion_classification | fs_opt | [
0.01746268942952156,
-0.005606916267424822,
-0.024617038667201996,
0.48510101437568665,
0.24738836288452148,
-0.5481290817260742,
0.5761590600013733,
0.019967272877693176,
-0.26059556007385254,
0.013702881522476673,
0.009699942544102669,
-0.23790621757507324,
-0.3126792907714844,
0.3238415... |
Given a document, generate a short title of the document. The title should convey the main idea/event/topic about which the document is being written. Note that URLs in the text have been replaced with [Link].
Q: SAN FRANCISCO (Reuters) - One of the most dramatic moments in an upcoming trade secrets trial between Alpha... | In Waymo trial what fired Uber exec may not say could be key | 4 | NIv2 | task418_persent_title_generation | zs_opt | [
-0.0777953565120697,
0.48324447870254517,
-0.10212145745754242,
0.1030411422252655,
0.020397931337356567,
0.48186230659484863,
0.2555657923221588,
0.38115984201431274,
-0.40287503600120544,
0.05346955358982086,
0.24353046715259552,
0.7006319761276245,
0.15964922308921814,
0.153774604201316... |
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