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 |
|---|---|---|---|---|---|---|
instruction:
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.
question:
blackjack, gin, poker, wine, slapjack
answer:
wine
question:
bowl, plastic, glass, panel, lead
answer:
bowl
question:
dog, goose, do... | dodge
| 9 | NIv2 | task142_odd-man-out_classification_no_category | fs_opt | [
-0.45387163758277893,
0.8138084411621094,
-0.628179669380188,
0.6162930130958557,
0.20314395427703857,
-0.21263638138771057,
0.30475983023643494,
-0.1985446810722351,
0.34305131435394287,
-0.16086910665035248,
-0.07086397707462311,
0.46537667512893677,
-1.1872615814208984,
0.38244402408599... |
Q: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: personal or non-personal depending on the to... | non-personal | 7 | NIv2 | task1490_bengali_personal_hate_speech_binary_classification | zs_opt | [
-0.5908443927764893,
0.29834163188934326,
0.2595084607601166,
0.596828818321228,
-0.40348976850509644,
-0.5246342420578003,
0.4761349558830261,
0.23192274570465088,
0.004783326294273138,
-0.09834384173154831,
-0.5808702111244202,
0.3902972936630249,
-0.17421852052211761,
-0.130509212613105... |
Teacher: In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to write the character's motivation by doing a specific job, which is given in the se... | None | 2 | NIv2 | task294_storycommonsense_motiv_text_generation | fs_opt | [
-0.9588217735290527,
0.0711584985256195,
-0.3166608214378357,
0.0319361537694931,
-0.10626672953367233,
-0.015821043401956558,
0.39918702840805054,
0.5325989723205566,
-0.09349296987056732,
0.19957205653190613,
0.09773536026477814,
-0.23697543144226074,
-0.07829989492893219,
-0.16786368191... |
A question is presented to you in this task, and your job is to write a potentially correct answer.
[EX Q]: who was the apostle paul considered to be?
[EX A]: Paul of Tarsus
[EX Q]: what is 2pm est in philippines?
[EX A]: UTC+8
[EX Q]: who plays batman in 2012?
[EX A]: | Christian Bale
| 6 | NIv2 | task1412_web_questions_question_answering | fs_opt | [
-0.17376595735549927,
0.8246113657951355,
-0.4412709176540375,
0.9794657230377197,
-0.5255037546157837,
-0.4297034740447998,
0.7518628239631653,
-0.4488314390182495,
-0.009602203033864498,
0.06056909263134003,
0.06369198113679886,
1.3234009742736816,
-0.8721567988395691,
0.0356312096118927... |
Q: In this task, you're given a question, a context passage, and four options which are terms from the passage. After reading a passage, you will get a brief understanding of the terms. Your job is to determine by searching and reading further information of which term you can answer the question. Indicate your choice ... | a | 7 | NIv2 | task231_iirc_link_classification | zs_opt | [
0.8257756233215332,
0.35158079862594604,
-0.4359067380428314,
0.586890459060669,
-0.08341191709041595,
-0.3092527687549591,
0.2188406139612198,
0.9785832166671753,
-0.7361946105957031,
0.2304835319519043,
-0.31084105372428894,
0.4480399787425995,
-0.2828126847743988,
-0.471280038356781,
... |
Given a text, write a compressed version of it in a single sentence.
Example input: Except for this small vocal minority, we have just not gotten a lot of groundswell against this from members, " says APA president Philip G. Zimbardo of Stanford University.
Example output: "Except for this small vocal minority, we hav... | The grants come at a time when funding for programs providing attorneys for the poor are in jeopardy from declining interest rates. | 3 | NIv2 | task1340_msr_text_compression_compression | fs_opt | [
-0.6187005043029785,
0.5905060768127441,
0.566862165927887,
-0.256325364112854,
-0.11696198582649231,
-1.554543137550354,
0.5120283365249634,
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-0.07833515852689743,
0.3162517249584198,
-0.5135533809661865,
0.08564102649688721,
-0.49764585494995117,
-0.24257370829582214,
... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
هناك شيء آخر في هذا
C'è dell'altro.
وسيؤدي هذا التحول إلى التسارع مع ظهور قاعدة البيانات الموزعة ، فالتكنولوجيا الأسطورية المبتكرة التي تعزز العملة الرقمية "" Bitcoin "".
E questo cambiamento non potrà che accelerare con la... | E recentemente, pensavamo che l'ulcera fosse causata dallo stress, finché non si è scoperto che il colpevole era l'H. pylori.
| 0 | NIv2 | task1106_ted_translation_ar_it | fs_opt | [
-0.10713730752468109,
0.7849770784378052,
-0.7347615957260132,
0.10424443334341049,
-0.38569414615631104,
0.24184265732765198,
0.1518785059452057,
1.11182701587677,
0.3433440923690796,
-0.766456127166748,
-0.5195484161376953,
-0.028534621000289917,
-0.47120335698127747,
0.5735807418823242,... |
You will be given a context and a verb separated with a newline character. You have to identify if the given verb implies an opinion, an intention, a wish or not. Please note that a verb refers to an intention only if it refers to an event planned to happen in the future and is not conditional (or part of a condition).... | Yes
| 1 | NIv2 | task456_matres_intention_classification | fs_opt | [
-0.22934330999851227,
0.15460626780986786,
0.048390693962574005,
0.44158637523651123,
-0.229994535446167,
-0.6414951682090759,
0.45690786838531494,
1.248471975326538,
0.15143020451068878,
0.2491566389799118,
-0.26492542028427124,
0.2932175099849701,
-0.8575994372367859,
0.00948072969913482... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a post in English from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages... | Hateful | 0 | NIv2 | task333_hateeval_classification_hate_en | fs_opt | [
-0.6908054351806641,
0.12950971722602844,
0.6755424737930298,
0.492034912109375,
0.06375975161790848,
-0.42740392684936523,
0.6344504952430725,
1.0887982845306396,
0.6462172269821167,
0.3251416087150574,
-0.0443875715136528,
-0.099327452480793,
-0.360052227973938,
-0.5224537253379822,
0.... |
In this task, you need to count the number of times the given letter appears in the given sentence.
Example input: Sentence: 'a large group of bananas proped up on several bicycles'. Find frequency of the letter 'e'
Example output: 5
Example explanation: The letter 'e' appears 5 times in the sentence.
Q: Sentence: 'so... | 2 | 3 | NIv2 | task113_count_frequency_of_letter | fs_opt | [
-0.2343030869960785,
0.18710404634475708,
-0.7576978802680969,
-0.2159278243780136,
-0.28428930044174194,
-0.7535066604614258,
0.8981967568397522,
0.45256781578063965,
-0.5477909445762634,
0.041351184248924255,
-0.9407541751861572,
0.3275892734527588,
0.012837054207921028,
0.20234763622283... |
Given the task definition, example input & output, solve the new input case.
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 "yes" if the interpretation is appropriate for ... | no | 1 | NIv2 | task211_logic2text_classification | fs_opt | [
-0.2029387354850769,
0.06286557018756866,
-0.19055962562561035,
0.5945925712585449,
0.4705623984336853,
-0.33552488684654236,
-0.05347128584980965,
0.6556291580200195,
-0.06648300588130951,
0.08923836052417755,
-0.4104621708393097,
0.40653783082962036,
0.14201167225837708,
0.54600399732589... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
私の結論を実証しなくてよい単純に頭ごなしに命令する方がずっと楽なのです
Output: | ولا حتى تحتاج للتجربة و الإختبار فمن المريح ان يعتمد المرء حلاً وان يستريح من التفكير فيه | 1 | NIv2 | task1224_ted_translation_ja_ar | zs_opt | [
0.1645517200231552,
0.1127939224243164,
0.041726622730493546,
-0.6568694114685059,
0.13856875896453857,
-0.6790252327919006,
0.7458862662315369,
0.01919011026620865,
0.5753035545349121,
0.22226287424564362,
-0.6284189224243164,
-0.564337968826294,
-0.703970193862915,
0.24431151151657104,
... |
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
Problem:הבזבוז המשווע שלו, כל המזומנים הבטלים הללו, צריכים להיות מתועלים כדי לשפר את חיינו, לפתח כשרונות אנושיים, וכן לממן את כל הטכנולוגיות הללו, טכנולוגיות ירוקות, שהן הכרחיות להצלת כדור הארץ.
Soluti... | A súa grave dilapidación de cartos, todo este diñeiro improdutivo, debería ser canalizado en mellorar vidas, en desenvolver o talento humano, e en financiar todas esas tecnoloxías, tecnoloxías verdes, que son absolutamente esenciais para salvar o planeta. | 8 | NIv2 | task1110_ted_translation_he_gl | zs_opt | [
-1.1508808135986328,
0.9468134045600891,
-0.0853259414434433,
-0.831044614315033,
-0.8376867771148682,
-0.4680381715297699,
0.4399849772453308,
0.17709441483020782,
-0.36075952649116516,
-0.38272497057914734,
-0.4982837736606598,
-0.008681015111505985,
-0.4995349049568176,
0.10549636930227... |
Teacher:You are given a sentence and a question. You're expected to write an **incorrect** answer to the given question, such that it is relevant to the given sentence. Your answer should not be completely out of context. Try to write short answers with one or two words.
Teacher: Now, understand the problem? Solve this... | the bullet | 6 | NIv2 | task1383_quarel_write_incorrect_answer | zs_opt | [
0.30001676082611084,
0.9762989282608032,
0.019142968580126762,
-0.441545307636261,
-0.008808997459709644,
-0.4124253988265991,
0.6821877956390381,
0.892763614654541,
0.3760332465171814,
-0.002455346053466201,
-0.29734647274017334,
-0.12350622564554214,
-0.7604169845581055,
-0.4139464795589... |
You are given a statement written in Telugu. 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 .
Example Input: Statement: ప్రముఖ వోకల్ విద్వాంసుడు, చెన్నై వాసి అయిన "విశ్వజోషి" (వాషింగ్టన్ వరల్డ్ భ్యాంకు అధికార... | మదరాసు
| 3 | NIv2 | task954_wiki_cloze_te_multiple_choice_question_answering | fs_opt | [
0.5950595140457153,
0.7688255906105042,
0.2663394808769226,
0.31473249197006226,
0.276472806930542,
-0.5927374362945557,
0.6840891242027283,
1.2256672382354736,
-0.02385764755308628,
0.3664914071559906,
0.18731889128684998,
0.6266442537307739,
-0.06280358880758286,
-0.3185269236564636,
0... |
Definition: In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it. Your job is to determine which sentence(s) from the passage can be used to search for further information needed to answer the question.
Input: Question: How old was Ro... | In 1053, it was the scene of the historical victory of Robert Guiscard over the papal troops under Pope Leo IX (see Battle of Civitate) | 2 | NIv2 | task234_iirc_passage_line_answer_generation | zs_opt | [
0.050003815442323685,
0.3962268531322479,
-0.49523618817329407,
0.036955028772354126,
-0.6794509887695312,
-1.2161426544189453,
0.3854166269302368,
0.6830799579620361,
0.36836308240890503,
-0.42716002464294434,
0.21793855726718903,
-0.12559936940670013,
-1.1350126266479492,
-0.039059691131... |
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: personal or non-personal depending on the topic... | non-personal | 0 | NIv2 | task1490_bengali_personal_hate_speech_binary_classification | zs_opt | [
-0.6974980235099792,
0.25151747465133667,
0.2510291635990143,
0.26053670048713684,
-0.5242396593093872,
-0.6904404163360596,
0.35477927327156067,
0.12171538174152374,
0.05138373374938965,
-0.11390101164579391,
-0.49406516551971436,
-0.0046627940610051155,
-0.12876348197460175,
-0.262483179... |
In this task you will be given a text passage from a trivia quiz. You should choose the category this question belongs to from these categories: History, Science, Social Science, Fine Arts, Literature. You can only choose one category, so if in doubt, please choose the closest match.
He collaborated on the libretto of... | Literature | 0 | NIv2 | task521_trivia_question_classification | zs_opt | [
-0.24315424263477325,
0.772756814956665,
0.5395137071609497,
-0.45960506796836853,
0.5186410546302795,
-0.32911616563796997,
0.09771547466516495,
0.0207379087805748,
-0.08644679933786392,
0.4914352595806122,
-0.45669347047805786,
-0.3403988480567932,
-0.30180540680885315,
-0.14968398213386... |
You will be given a definition of a task first, then some input of the task.
You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equall... | PersonX decided to spend a lot of money to monitor PersonY, because _ was a paranoid person. | 1 | NIv2 | task032_winogrande_question_generation_person | zs_opt | [
0.5478523969650269,
0.43203699588775635,
0.2649296224117279,
0.2209949791431427,
0.4335295557975769,
-0.1819601058959961,
0.5140153765678406,
0.8870892524719238,
0.24815766513347626,
-0.5960819125175476,
-0.14242051541805267,
-0.32180070877075195,
-0.22475716471672058,
-0.13233612477779388... |
In this task, you need to count the number of words in a sentence that end with the given letter. Answer with numbers and not words.
Example input: Sentence: 'the street light is green in the city'. How many words end with the letter 't' in the sentence.
Example output: 2
Example explanation: The words 'street', and '... | 1 | 3 | NIv2 | task163_count_words_ending_with_letter | fs_opt | [
-0.23475317656993866,
0.6317035555839539,
-0.5220031142234802,
-0.7139806747436523,
0.23520058393478394,
-0.7201015949249268,
0.28096601366996765,
0.587430477142334,
0.07961270958185196,
-0.3406636416912079,
-0.37243881821632385,
0.37893372774124146,
-0.4038006365299225,
-0.427731484174728... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
Example input: życiu stawić czoła Granicę przekrocz "" Będziesz wolna "", już ktoś tam woła. Kobiety nadziei Kobiety zmian Kobiety wojny i bólu Czuję waszą siłę tak ona powiedziała Jeśli czujesz się bezsilna, pomóż komuś Jeśl... | אנו גם רואים שאזור זה הוא בעל היכולות המועטות ביותר להתמודדות עם המחלה. | 3 | NIv2 | task1260_ted_translation_pl_he | fs_opt | [
-0.42820653319358826,
0.46029049158096313,
-0.3450508713722229,
-0.20229917764663696,
-0.3016246259212494,
-1.0182751417160034,
1.1804752349853516,
0.39473530650138855,
0.7649825215339661,
-0.5597002506256104,
-1.0346308946609497,
0.9020572900772095,
-1.054417610168457,
0.1960347443819046,... |
Given a sentence in Italian, generate a new Italian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it b... | È possibile tirare la caffettiera per preparare il caffè.
| 0 | NIv2 | task408_mickey_it_sentence_perturbation_generation | fs_opt | [
-0.19191581010818481,
-0.010515009984374046,
0.07991889119148254,
0.23346956074237823,
-0.3237641751766205,
-0.4410029649734497,
0.2572915256023407,
1.236954927444458,
-0.12344080209732056,
-0.2237984538078308,
-0.4161551594734192,
-0.3783518075942993,
-0.19586633145809174,
0.4928563535213... |
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.
Example input: ACTION1: telling my friends sister that she probably won't get a celebrity t... | yes | 3 | NIv2 | task508_scruples_dilemmas_more_ethical_isidentifiable | fs_opt | [
-0.10263685882091522,
0.3916069269180298,
0.46416813135147095,
0.38606250286102295,
-0.12219729274511337,
-1.0439918041229248,
-0.217752605676651,
0.802770733833313,
0.16368617117404938,
0.7125739455223083,
0.030508633702993393,
-0.24573692679405212,
-0.7063570022583008,
-0.673139870166778... |
Given a premise and two alternatives in Gujarati, choose the alternative that is either a plausible cause or effect of the situation described by the premise. The premise is the 'નિવેદન' field and the alternatives are the 'વિકલ્પA' and 'વિકલ્પB' fields.The output should either be "વિકલ્પ A" or "વિકલ્પ B" based on your ... | વિકલ્પ A | 6 | NIv2 | task940_copa_gu_commonsense_reasoning | fs_opt | [
-0.09204906970262527,
0.07412026822566986,
-0.09822028875350952,
0.14988431334495544,
-0.37103593349456787,
-0.7427864074707031,
0.6893019676208496,
0.45493364334106445,
0.6870635747909546,
-0.24052414298057556,
-0.919623613357544,
0.1554269790649414,
0.20156230032444,
-0.04522320628166199... |
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.
Input: Consider Input: Sentence 1: These methodolog... | Output: telephone
| 2 | NIv2 | task197_mnli_domain_answer_generation | fs_opt | [
-0.5620171427726746,
0.48876816034317017,
0.10446906089782715,
-0.7825692892074585,
0.07544636726379395,
-0.11938692629337311,
0.1393384337425232,
0.5437201261520386,
0.17552265524864197,
0.11988355219364166,
-0.6541943550109863,
-0.07275094091892242,
-0.3341033458709717,
-0.41671177744865... |
Teacher: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
Teacher: Now, understand the problem? If you are still confused, see the following example:
סך כל הפעולות של המהדקים על הגדיל הארוך מקפלות אותו לצורה דמויית מלבן.
Solution: ويمكن اعادة تكرار هذه العملية على طول الشريط... | ثانياً ، من المحتم أن لا تستشهد بصحيفة نيويورك تايمز. | 2 | NIv2 | task1237_ted_translation_he_ar | fs_opt | [
-0.4956943094730377,
0.35422849655151367,
0.2308799922466278,
-0.7125210762023926,
-0.3858167827129364,
-0.3942908048629761,
0.9020799398422241,
-0.039994977414608,
0.28131288290023804,
-0.44514200091362,
-0.7484650015830994,
-0.07869940996170044,
-0.632184624671936,
-0.08380470424890518,
... |
In this task, you are given Twitter posts. Your task is to label the post's emotion (as expressed by the user) as sadness, joy, love, anger, fear, or surprise.
One example: im feeling quite sad and sorry for myself but ill snap out of it soon
Solution is here: sadness
Explanation: The emotion of the post is sadness as ... | joy | 6 | NIv2 | task512_twitter_emotion_classification | fs_opt | [
-0.9677562713623047,
0.08490206301212311,
0.3691628575325012,
0.31045886874198914,
0.08310990035533905,
-0.9490997791290283,
0.2888169586658478,
0.6050062775611877,
0.23573458194732666,
0.397172749042511,
0.12167029082775116,
-0.08475097268819809,
-0.4974023401737213,
0.21587492525577545,
... |
"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, and". Indicate yo... | Response 1 | 0 | NIv2 | task362_spolin_yesand_prompt_response_sub_classification | zs_opt | [
0.2764827013015747,
0.9024556875228882,
0.554068922996521,
0.20537470281124115,
0.01239160355180502,
-0.6896021366119385,
0.0012731993338093162,
0.4027637541294098,
0.3053700029850006,
-0.42390143871307373,
-0.44074302911758423,
-0.08458320796489716,
-0.6606836318969727,
0.3123448491096496... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in English. Your job is to translate the English sentence into Persian.
In the southwestern part of Nigeria, the plant is known as Gbe'borun.
Solution: در جنوب غرب نیجریه ، ... | این پاسخ هفت دقیقه وقت برد ، و واقعا به من بینشی داد از اینکه کل این سخنرانی به راستی چه عمل سخاوتمندانه ای برای تد بوده است. | 0 | NIv2 | task1093_ted_translation_en_fa | fs_opt | [
-0.5273084044456482,
0.30933597683906555,
0.26893097162246704,
-0.34804776310920715,
0.06602306663990021,
-0.661344051361084,
1.1415362358093262,
0.15634161233901978,
0.0775856152176857,
0.20695900917053223,
-0.8520122170448303,
0.04782240092754364,
-1.0818901062011719,
0.6162303686141968,... |
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'... | CCONJ
| 7 | NIv2 | task583_udeps_eng_coarse_pos_tagging | fs_opt | [
0.6445086598396301,
0.31100910902023315,
-0.04313739761710167,
0.018972031772136688,
0.07389961183071136,
-0.9351115226745605,
0.8227071762084961,
0.8000316619873047,
-0.6326632499694824,
-0.1747797429561615,
-0.3878882825374603,
0.19027572870254517,
-0.5647599697113037,
0.4998937845230102... |
Given the task definition and input, reply with output. 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".
Review: En... | no | 5 | NIv2 | task285_imdb_answer_generation | zs_opt | [
0.7315974235534668,
0.05185561627149582,
-0.41665273904800415,
0.06269455701112747,
0.5603502988815308,
-0.2486012727022171,
0.9037097096443176,
0.26466721296310425,
-0.28813979029655457,
-0.09976258128881454,
0.1050906777381897,
0.1069774180650711,
-0.5729207396507263,
-0.3102246820926666... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
Problem:Dunque si tratta di un percorso antico, perché deve essersi sviluppato molto tempo fa nel processo evolutivo e per questo motivo continua a funzionare in tutti questi animali.
Solution: | Entón é unha ruta antigua, porque debeu surxir fai moito tempo na evolución para que siga funcionando en todos estes animais. | 8 | NIv2 | task1252_ted_translation_it_gl | zs_opt | [
-1.2027052640914917,
0.8317588567733765,
-0.3751813769340515,
0.12924641370773315,
-0.35157525539398193,
-0.2649955749511719,
-0.22948342561721802,
0.4685855507850647,
-0.7084999084472656,
-0.35283276438713074,
-0.294495165348053,
0.006958038546144962,
-0.534133791923523,
0.932323575019836... |
Part 1. Definition
In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False".
Part 2. Example
Paragraph: The sever... | False | 7 | NIv2 | task1162_coda19_title_classification | fs_opt | [
0.41705429553985596,
0.336537629365921,
-0.5096230506896973,
0.13149714469909668,
0.6003936529159546,
0.19144076108932495,
0.4871668219566345,
1.0070557594299316,
-0.3464372158050537,
0.8637969493865967,
-0.32895946502685547,
1.1001663208007812,
-0.17760016024112701,
0.2677041292190552,
... |
Teacher:You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Farsi.
Teacher: Now, understand the problem? Solve this instance: Vou organizá-la e dirigi-la e divulgá-la ao mundo.
Student: | می خواستم خودم آنرا هدایت و سازماندهی و جهانی کنم. | 6 | NIv2 | task1282_ted_translation_pt_fa | zs_opt | [
-0.055738914757966995,
0.3412565588951111,
0.15617406368255615,
0.04919084161520004,
-0.8944588899612427,
0.45516160130500793,
0.04227248951792717,
0.5366402864456177,
0.7142144441604614,
0.019938495010137558,
-1.0477029085159302,
-0.10864502191543579,
-0.6098111867904663,
-0.0199501588940... |
Detailed Instructions: In this task, you're given a short article. Your job is to classify the article based on its category. Use the following classification labels, 0. World, 1. Sports, 2. Business, 3. Science or Technical. Label the text "0" if it contains information related to world. Label the text "1" if it conta... | 3 | 8 | NIv2 | task1541_agnews_classification | zs_opt | [
-0.8948334455490112,
0.39832884073257446,
-0.08306729793548584,
0.5835974216461182,
-0.11259658634662628,
0.05874992161989212,
-0.47156959772109985,
0.4665067195892334,
-0.13048392534255981,
0.15504199266433716,
-1.038851261138916,
0.06611241400241852,
0.0755651667714119,
-0.46076154708862... |
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... | No | 0 | NIv2 | task1196_atomic_classification_oeffect | zs_opt | [
0.2967265844345093,
0.5384289026260376,
0.4643498957157135,
-0.01609952561557293,
-0.5692769885063171,
-0.6816921830177307,
1.2005748748779297,
0.43848833441734314,
-0.5545744895935059,
-0.43267643451690674,
-0.532492995262146,
-0.1227857768535614,
-0.47074246406555176,
0.06575997173786163... |
Q: Generate a correct and concise answer for the question based on the words in the context.
Context : ``The Bob Next Door'' is the twenty-second episode of The Simpsons' twenty-first season.
Question : To which series does The Bob Next Door belong?
A: | The Simpsons | 7 | NIv2 | task1327_qa_zre_answer_generation_from_question | zs_opt | [
0.010909480974078178,
0.6087150573730469,
0.2852242588996887,
0.18861518800258636,
-0.10430707782506943,
-0.26972872018814087,
-0.6115044355392456,
-0.10964743047952652,
0.9307591319084167,
-0.48783934116363525,
-0.20326608419418335,
1.5908777713775635,
-0.37215176224708557,
-0.83382821083... |
Detailed Instructions: In this task, you are given one english sentence. The major part of the sentences talk about health-related topics, but some of the them describe an organization and its activities. Your job is to translate the given sentences into German.
Problem:- Supportive posts in administration and in opera... | - unterstützende Tätigkeiten in der Verwaltung und operativen Referaten, z. B. als Sekretärinnen/Sekretäre und Assistentinnen/Assistenten | 8 | NIv2 | task1396_europa_ecdc_tm_en_de_translation | zs_opt | [
-0.15980447828769684,
0.47976046800613403,
-0.16607876121997833,
-0.7095316052436829,
0.16250549256801605,
-0.696353554725647,
0.4343990683555603,
0.8016043305397034,
0.9712337255477905,
-0.35920390486717224,
-0.27594155073165894,
-0.6380748748779297,
-0.8416808247566223,
0.095184125006198... |
Instructions: In this task, you are given dvd product reviews in Japanese language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Input: 料亭での伊武雅刀の反応がすべて . 原作は、数ページの漫画ですから、これを映画にしようと思った瞬間から あの料亭での、伊武さんの反応の台詞... | POS | 3 | NIv2 | task486_cls_japanese_dvd_classification | zs_opt | [
-0.11360032111406326,
-0.12088674306869507,
0.17856721580028534,
-0.045905668288469315,
0.3072041869163513,
0.08257262408733368,
1.4069737195968628,
0.3861309885978699,
0.3972877860069275,
0.2881217896938324,
-0.3625280559062958,
-0.4512742757797241,
-0.20778770744800568,
0.171041488647460... |
Instructions: Translate from Hindi to English such that it preserves the original meaning Perform complete translation (partially translated sentences are considered incorrect).
Input: - हमें ढूँढने में कोई परेशानी?
Output: | -Any trouble finding us? | 3 | NIv2 | task1323_open_subtitles_hi_en_translation | zs_opt | [
0.574196457862854,
0.4893236756324768,
0.39226752519607544,
0.11228922754526138,
0.14459781348705292,
-1.051171898841858,
0.6976334452629089,
-0.22080662846565247,
-0.22869813442230225,
0.15019676089286804,
-0.7026889324188232,
-0.18471139669418335,
-0.25149381160736084,
0.3615886569023132... |
Given a sentence, fill out the missing word with a 'no' or a number (between zero and ten). You should write the numbers with english alphabet, like: four instead of 4.
[EX Q]: Violets usually have ____ sepals at the base and have five petals.
[EX A]: five
[EX Q]: Ospreys mature after ____ years of age.
[EX A]: two
... | six
| 6 | NIv2 | task1359_numer_sense_answer_generation | fs_opt | [
-0.8769147992134094,
0.5931954383850098,
-0.32231926918029785,
-0.3461482524871826,
-0.0655016154050827,
-0.4487530589103699,
0.7748876214027405,
0.43809083104133606,
-0.007567413616925478,
0.011034199967980385,
-0.1257982850074768,
0.27910733222961426,
-0.602959394454956,
0.10581227391958... |
Definition: In this task, you are given a short passage that conveys a stereotype. A stereotype is an over-generalized belief about a particular group of people. You are expected to classify the passage into nine types of stereotype: race-color, socioeconomic, gender, disability, nationality, sexual-orientation, physic... | race-color | 2 | NIv2 | task317_crows-pairs_classification_stereotype_type | zs_opt | [
-0.2733750343322754,
0.19729873538017273,
-0.1370730996131897,
-0.09815163910388947,
0.003906803671270609,
-0.1855529397726059,
0.17579801380634308,
0.5948284268379211,
0.18667680025100708,
0.42617377638816833,
-1.1761548519134521,
0.23200218379497528,
-0.1788082718849182,
-0.2518461942672... |
In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story coherent / plausible by writing "1" or "2" in the output. If both sentences are plausible, pick the one that makes most sense.
Let me give you an example... | 2 | 8 | NIv2 | task069_abductivenli_classification | fs_opt | [
-0.6254702210426331,
0.05264823138713837,
0.45872950553894043,
-0.07431590557098389,
0.10722731053829193,
-0.40148085355758667,
0.1596394181251526,
0.8118462562561035,
0.02829129993915558,
0.41009464859962463,
-0.16310638189315796,
-0.29392537474632263,
-0.08587933331727982,
-0.59138435125... |
Teacher: 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. Yo... | Yes | 2 | NIv2 | task1196_atomic_classification_oeffect | fs_opt | [
0.7602301836013794,
-0.03905264288187027,
0.3702748715877533,
-0.24634307622909546,
-0.222368985414505,
-0.7987099289894104,
0.8814407587051392,
0.9026170969009399,
-0.7977523803710938,
-0.1582532525062561,
-0.459112286567688,
-0.3770790994167328,
-0.8193285465240479,
-0.523765504360199,
... |
Given the task definition and input, reply with output. In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected sentence.
Statement: ... | 2 | 5 | NIv2 | task202_mnli_contradiction_classification | zs_opt | [
-0.2206934690475464,
0.5821728706359863,
0.28055495023727417,
0.02894965559244156,
0.03133276849985123,
0.027914945036172867,
0.23019203543663025,
0.39511528611183167,
-0.208474799990654,
-0.044254809617996216,
-0.31856000423431396,
0.1462969034910202,
-0.5940632224082947,
-0.6499906778335... |
Instructions: In this task, you are given a sentence and question which can be answered using the sentence. Your task is to answer the question using the information from the sentence. The answer to the question is unique and it is a continuous text span from the sentence.
Input: Sentence: 1989 saw the release of `` Mi... | the release of `` Misspent Youth '' on MCA . | 3 | NIv2 | task1520_qa_srl_answer_generation | zs_opt | [
-0.5925800800323486,
0.5396112203598022,
-0.6590110063552856,
-0.1754363775253296,
-0.06714537739753723,
0.371303915977478,
0.5945404171943665,
0.6025073528289795,
0.4679683744907379,
0.1305764615535736,
-0.5047925710678101,
-0.7719855904579163,
-0.9290894865989685,
0.2685379087924957,
0... |
Given a sentence in Dutch, generate a new Dutch 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 being... | Als je hunkert om cadeautjes te sluiten dan zou je geld moeten hebben. | 3 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | fs_opt | [
-0.6295439004898071,
1.1894547939300537,
-0.00099427648819983,
-0.28700917959213257,
-0.12849116325378418,
-0.8604287505149841,
0.6991845965385437,
0.2933610677719116,
0.48277604579925537,
-0.8524488210678101,
-0.4223287105560303,
0.9517070055007935,
-0.8522109985351562,
0.1435431838035583... |
Detailed Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Polish.
Problem:(Risos) Mas, tal como a Internet veio dar a conhecer o mundo a cada um de nós, também veio dar a conhecer cada um de nós ao mundo.
Solution: | (Śmiech) Ale Internet nie tylko otworzył przed nami świat, ale również otworzył nas na świat. | 8 | NIv2 | task1281_ted_translation_pt_pl | zs_opt | [
-0.1000041663646698,
1.6300983428955078,
0.16141186654567719,
-0.1585417091846466,
-0.8638392686843872,
-0.2443724423646927,
0.4516722559928894,
-0.051828183233737946,
0.36855822801589966,
0.49855899810791016,
-0.6529387831687927,
0.584528923034668,
-0.7941777110099792,
-0.1076286435127258... |
Instructions: In this task, you are given a sentence and a profession that is mentioned in the sentence. The gender of the person with the given profession can be identified using the gendered pronouns that refer to them in the text. You are expected to identify the gender. Select from female and male.
Input: Sentence... | Male | 3 | NIv2 | task341_winomt_classification_gender_anti | zs_opt | [
-0.7437137365341187,
0.9192212820053101,
-0.5765516757965088,
-0.918036937713623,
0.10664212703704834,
-0.5157757997512817,
-0.16453422605991364,
0.656649649143219,
0.8859941959381104,
0.24728426337242126,
-1.463202714920044,
-0.4802711009979248,
-0.8327780365943909,
-0.5738462805747986,
... |
Part 1. Definition
In this task, you're given a context passage, an answer, and a question. Your task is to classify whether the question for this answer is correct or not, based on the given context with commonsense reasoning about social situations. If its correct ,return "True" else "False".
Part 2. Example
Context:... | False | 7 | NIv2 | task384_socialiqa_question_classification | fs_opt | [
0.24622087180614471,
0.529507577419281,
0.16981789469718933,
0.22738385200500488,
-0.11505229771137238,
-0.09429849684238434,
0.7587243318557739,
0.14799118041992188,
0.28436002135276794,
-0.0856788158416748,
-0.6876958608627319,
-0.08247475326061249,
-0.3726649582386017,
0.058263331651687... |
TASK DEFINITION: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish.
PROBLEM: Quando estiverem cansados de abrir e fechar aquelas persianas, dia após dia, quando estiverem de férias, e não houver ninguém aos fim de semana para ligar e desligar os controlos, ou quando f... | También requiere estar conectado a mucho apoyo administrativo.
| 8 | NIv2 | task1276_ted_translation_pt_es | fs_opt | [
-0.39581942558288574,
0.19765916466712952,
-0.18514952063560486,
-0.5343223810195923,
-0.14723274111747742,
-1.029813528060913,
0.40344876050949097,
1.159027099609375,
0.5818265676498413,
0.051607340574264526,
-0.5610038638114929,
0.44403788447380066,
-0.09650596976280212,
0.10994505137205... |
You are given two sentences(Sentence1 and Sentence2). Answer "Yes" if these sentences are a paraphrase of one another, otherwise answer "No".
Sentence1: Five foreign embassies , including the Singapore embassy , in Bangkok were among the targets , it said ., Sentence2: Five foreign embassies in Bangkok , including the... | Yes | 0 | NIv2 | task1288_glue_mrpc_paraphrasing | zs_opt | [
-0.071876160800457,
0.4412388801574707,
0.7275149822235107,
-0.2473590075969696,
0.6020034551620483,
-0.6050457954406738,
0.4209819436073303,
0.5131762027740479,
-0.08298937231302261,
0.46359267830848694,
-0.1812233179807663,
0.17514365911483765,
-0.6743189692497253,
0.2877800762653351,
... |
Given the task definition and input, reply with output. Given a negotiation between two participants, answer 'Yes' if both participants agree to the deal, otherwise answer 'No'.
THEM: if i could have 2 hats and a book? YOU: can't make a deal without the book. worth 7 for me. THEM: alright well if i can have all the ... | No | 5 | NIv2 | task1384_deal_or_no_dialog_classification | zs_opt | [
0.25468015670776367,
0.9615218639373779,
0.2962093949317932,
0.8665708303451538,
-0.0008875693893060088,
-0.16359174251556396,
0.5516470670700073,
-0.1350080966949463,
0.49398574233055115,
-0.9179555773735046,
-0.21880125999450684,
0.20269230008125305,
-0.82565838098526,
-0.175954699516296... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: Context : Josef Aloys Frölich or Alois von Frölich (10 March 1766, Marktoberdo... | The year Josef Aloys Frölich died was what? | 6 | NIv2 | task1326_qa_zre_question_generation_from_answer | zs_opt | [
-0.001378562767058611,
0.39602118730545044,
-0.7474145889282227,
0.10032734274864197,
-0.8216133713722229,
-1.1135473251342773,
0.4522232115268707,
-0.43184694647789,
-0.09935680031776428,
-0.35958221554756165,
-0.5588771104812622,
0.7447602152824402,
-1.0500638484954834,
0.568773329257965... |
TASK DEFINITION: Generate an overlapping word between the given two sentences. When you find the overlapping words, they don't have to match exactly, e.g., "survival" and "survive" are valid overlapping words. Little words like "the" or "of" don't count! You must generate significant words which are not the stop words.... | Earth
| 8 | NIv2 | task039_qasc_find_overlapping_words | fs_opt | [
0.24421939253807068,
0.5350298881530762,
-0.2625221610069275,
-0.5366087555885315,
-0.49922966957092285,
-0.35545021295547485,
1.0691041946411133,
0.20200085639953613,
-0.24883687496185303,
-0.7511179447174072,
-0.8552091121673584,
-0.48849087953567505,
-1.0450315475463867,
0.2561090588569... |
Part 1. Definition
Given news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news headlines into "Funny" and "Not Funny" that have been modified by humans using an edit word to make them ... | Not Funny | 7 | NIv2 | task495_semeval_headline_classification | fs_opt | [
-0.1145235002040863,
0.0945974737405777,
0.12041915953159332,
0.08393625915050507,
-0.1794285774230957,
-0.5381432175636292,
0.39362478256225586,
0.6764234304428101,
0.1771201193332672,
0.26407814025878906,
-0.6093368530273438,
-0.29829829931259155,
-0.8906364440917969,
0.02218963950872421... |
Definition: In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B.
Input: ['w', 'M', '829', 'P', 'w', '8293', 'B', 'b', '2839', 'J', '5107', '2633', 'K', 'F', 105, 'q', 'f', 1513, 'f', 569, 'v', 'B'], [6247, 7541, 'I', 2371, 603, 4141, '829', 'P', 'w', '8293', 'B', 'b', '28... | 829, P, w, 8293, B, b, 2839, J, 5107, 2633 | 2 | NIv2 | task605_find_the_longest_common_subsequence_in_two_lists | zs_opt | [
-0.1913868486881256,
-0.3369864523410797,
-0.3842141628265381,
-0.6038374304771423,
0.13223440945148468,
-0.10925182700157166,
-0.10046640038490295,
-0.2752363085746765,
-0.088987797498703,
-0.08733917027711868,
-1.4386279582977295,
0.03435627371072769,
0.7689772248268127,
0.15944936871528... |
instruction:
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the s... | A street vendor is reading a book.
| 9 | NIv2 | task187_snli_entailment_to_contradiction_text_modification | fs_opt | [
-0.9611313343048096,
0.4851047992706299,
-0.10181349515914917,
-0.7717646956443787,
0.14902934432029724,
-0.6632492542266846,
-0.2071641981601715,
0.6866023540496826,
0.3712841868400574,
-0.19353759288787842,
-1.0235623121261597,
-0.15437549352645874,
-0.591902494430542,
0.0788940191268920... |
Given the task definition and input, reply with output. In this task, you are given a paragraph, a question, and a candidate incorrect answer to the question. Your goal is to judge whether the provided answer is a valid incorrect answer to a given question. An incorrect answer should not truthfully answer the given que... | Yes. | 5 | NIv2 | task057_multirc_classify_incorrect_answer | zs_opt | [
0.3275890350341797,
0.7836620807647705,
-0.4821709990501404,
-0.10176903754472733,
0.429424524307251,
-0.18170931935310364,
0.7169852256774902,
0.7086635828018188,
0.2902030050754547,
0.26162344217300415,
-0.651037335395813,
0.08085447549819946,
-1.350009560585022,
-0.2004522830247879,
-... |
In this task, you are given text for US Congressional and California state bills, your task is to generate a summary for this bill.
Example Input: SECTION 1. SHORT TITLE.
This Act may be cited as the ``Rural Physicians' Incentives Act of
1993''.
SEC. 2. DEDUCTION FOR MEDICAL SCHOOL EDUCATION LOAN INTEREST INCUR... | National Commission on Professional Baseball Act of 1995 - Establishes the National Commission on Professional Baseball to oversee and investigate any aspect of major and minor league baseball where, in the opinion of the Commission, it is in the best interests of baseball to intervene, including: (1) conduct of bindi... | 3 | NIv2 | task1658_billsum_summarization | fs_opt | [
-0.00017539039254188538,
-0.3581724762916565,
-0.06861117482185364,
-1.0304166078567505,
0.606609582901001,
-0.47774070501327515,
1.075998306274414,
1.1203117370605469,
-0.4005088806152344,
-0.0002034967765212059,
0.07905102521181107,
0.6669838428497314,
-0.31588014960289,
0.09254610538482... |
In this task, you are given a sentence from the Bible in English, and your task is to translate it into Persian.
Q: And the LORD said unto Moses, Say unto Aaron, Stretch out thy rod, and smite the dust of the land, that it may become lice throughout all the land of Egypt.
A: | و جادوگران به فرعون گفتند: «این انگشت خداست.» اما فرعون را دل سخت شد که بدیشان گوش نگرفت، چنانکه خداوند گفته بود. | 4 | NIv2 | task655_bible_en_fa_translation | zs_opt | [
0.2592036724090576,
1.3193676471710205,
-0.3784722089767456,
-0.5565587878227234,
-0.8242988586425781,
-0.8162689208984375,
-0.2779984176158905,
0.402515172958374,
-0.13409417867660522,
0.48737138509750366,
-0.8581219911575317,
0.41340070962905884,
-0.9461228847503662,
-0.17826144397258759... |
You will be given a definition of a task first, then some input of the task.
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 partic... | No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,surprise | 1 | NIv2 | task1532_daily_dialog_emotion_classification | zs_opt | [
0.12499445676803589,
-0.5412520170211792,
-0.1971418559551239,
0.1397283673286438,
0.7289549112319946,
0.013466428965330124,
0.7589435577392578,
0.5090278387069702,
-0.028815221041440964,
-0.028521953150629997,
-0.256744921207428,
-0.013625440187752247,
0.09896954149007797,
0.1056643724441... |
Teacher:In this task you need to indicate the plausibility of reasoning for the pronoun coreference relations. Each of the provided inputs contains a sentence with a target pronoun and a sentence that justifies which noun phrase the pronoun refers to. Correct reasons do not need to use all the knowledge from the senten... | Correct | 6 | NIv2 | task133_winowhy_reason_plausibility_detection | zs_opt | [
-0.06975002586841583,
0.18428564071655273,
-0.08393409848213196,
-0.106338270008564,
-0.05706869065761566,
-0.4665059447288513,
0.5312224626541138,
0.15250679850578308,
0.26437675952911377,
-0.726329505443573,
-0.6031124591827393,
0.22021877765655518,
-0.9306812286376953,
-0.23312854766845... |
In this task, five ordered key facts are given. All the given facts are expressed in natural language. Your job is to generate a story 100 to 1000 words long, that includes all the facts given as input in their order of appearance while expanding upon them to produce a broader, yet coherent, narrative.
Fact1: Igor Gou... | Igor Gouzenko Dana Andrews, an expert at deciphering codes, comes to the Soviet embassy in Ottawa, Ontario, Canada in wartime 1943, along with a Soviet military colonel, Trigorin Frederic Tozere, and a major, Kulin Eduard Franz, to set up a base of operations. Warned of the sensitive and topsecret nature of his work, I... | 0 | NIv2 | task103_facts2story_long_text_generation | zs_opt | [
0.4030647575855255,
0.207768514752388,
-0.42152509093284607,
-0.26851165294647217,
-0.10897694528102875,
-0.011727842502295971,
-0.16942912340164185,
0.4825611412525177,
-0.0029747975058853626,
-0.1799938678741455,
-0.7843209505081177,
-0.5986279845237732,
-0.5063351392745972,
-0.121118783... |
Given the task definition and input, reply with output. Given a pair of words, deduce the type of relationship between them. The various types of relations are: 'HYPER', 'COORD' and 'RANDOM'. Let's denote the first word by X and the second word by Y. A COORD relationship holds when X and Y belong to the same semantic c... | RANDOM | 5 | NIv2 | task1505_root09_semantic_relation_classification | zs_opt | [
-0.729080319404602,
0.42250266671180725,
0.09532344341278076,
-0.06108841672539711,
-0.7269715666770935,
0.148121178150177,
0.4987005293369293,
-0.0026660077273845673,
0.5058445930480957,
-0.7385352849960327,
-1.1703612804412842,
-0.17195823788642883,
-0.15458953380584717,
0.29632085561752... |
Detailed Instructions: In this task you will be given a list of dictionaries. A dictionary is a set of key-value pairs, where each key is unique and has a value associated with that key. You should sort the list of dictionaries from smallest to largest by their 'first' key. If there is two dictionaries with the same 'f... | [{'first': -85, 'second': -4}, {'first': -36, 'second': 88}, {'first': -25, 'second': 15}, {'first': 15, 'second': -5}, {'first': 37, 'second': 59}] | 8 | NIv2 | task123_conala_sort_dictionary | zs_opt | [
-0.016974080353975296,
0.13581199944019318,
-0.3014468550682068,
-0.15562696754932404,
0.4497436583042145,
-0.21220138669013977,
0.6223149299621582,
0.44138771295547485,
0.05325564369559288,
-0.3133729100227356,
-0.7014412879943848,
-0.7619173526763916,
-0.9523520469665527,
-0.428291738033... |
Detailed Instructions: In this task, you need to output 'Yes' if the given number is a prime number otherwise output 'No'. A 'prime number' is a a whole number above 1 that can not be made by multiplying other whole numbers.
Q: 48753
A: | No | 9 | NIv2 | task092_check_prime_classification | zs_opt | [
0.04578831046819687,
0.43197935819625854,
0.17645244300365448,
-0.6365609169006348,
0.03971346840262413,
-0.7882605791091919,
0.646476686000824,
0.0011431394377723336,
-0.4109265208244324,
0.44802939891815186,
-0.8505666255950928,
-0.27017906308174133,
-0.42999744415283203,
-0.059143148362... |
Instructions: Based on the given context, craft a common-sense question, especially those that are LONG, INTERESTING, and COMPLEX. The goal is to write questions that are easy for humans and hard for AI machines! To create such questions, here are some suggestions: A. What may (or may not) be the plausible reason for a... | Why does the speaker recommend that people attend this event ? | 3 | NIv2 | task023_cosmosqa_question_generation | zs_opt | [
0.46291860938072205,
0.46708109974861145,
-0.23468610644340515,
0.029287852346897125,
-0.08662586659193039,
-0.10922028124332428,
-0.2910621762275696,
0.5775976181030273,
0.4113451838493347,
0.2864256799221039,
-0.5076251029968262,
-0.216808021068573,
-0.2637444734573364,
0.327486962080001... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to collate all the alphabetical elements at the start of the list followed by all the numerical elements of the list. Maintain the order in which the alphabetical elements appear in the given input... | Output: J, c, a, 6293, 4315, 811, 5735, 8969, 573, 7399, 8597, 6597, 497, 1319, 5371
| 2 | NIv2 | task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately | fs_opt | [
-0.1245010644197464,
-0.18355199694633484,
-0.24229685962200165,
-0.21173667907714844,
0.31540384888648987,
-1.0079213380813599,
0.5158053636550903,
0.5126405954360962,
-0.7459025382995605,
0.49130648374557495,
-0.699012041091919,
-0.389842689037323,
-0.011045590974390507,
-0.2653572857379... |
In this task, you are given a sentence in either Spanish or English. Your task is to determine the language of the input sentence. Input sentences can only be in Spanish or English, and they cannot be in two languages at the same time.
Q: Para nuestra satisfacción, escuchamos tales preguntas de forma oficial y oficio... | Spanish | 4 | NIv2 | task533_europarl_es-en_language_identification | zs_opt | [
-0.19534660875797272,
0.7666615843772888,
1.0451451539993286,
-0.6528344750404358,
-0.3691745400428772,
-0.633636474609375,
0.6137478947639465,
0.7309014797210693,
-0.10116428881883621,
-0.3500828742980957,
-0.3591434955596924,
-0.10516564548015594,
0.05528644472360611,
-0.3029519617557525... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Farsi.
Ex Input:
Exactamente da mesma forma que as pessoas, recuperaram espontaneamente até certo ponto, exactamente como depois de um AVC.
Ex Output:
درست مثل انسان ها خودبخود تا حدی بهبود پیدا کردند ، درست مثل بعد از سکت... | متشکرم.
| 1 | NIv2 | task1282_ted_translation_pt_fa | fs_opt | [
0.024345066398382187,
0.06220930069684982,
-0.5775068998336792,
-0.0016734596574679017,
-0.6000241637229919,
-0.1887156069278717,
1.0223400592803955,
0.7184175252914429,
0.5420835018157959,
-0.3196268677711487,
-0.6565894484519958,
0.6875085830688477,
-0.5599476099014282,
0.60055011510849,... |
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.
Example Input: [[22, -19, 5, 17, 26], [6, -28], [... | [-936000, -765, -187, 3864, 21294]
| 3 | NIv2 | task371_synthetic_product_of_list | fs_opt | [
0.07485108077526093,
0.20326822996139526,
-0.510042667388916,
-0.12783505022525787,
0.016585400328040123,
-0.10662676393985748,
1.3369057178497314,
0.0802265852689743,
-0.33752262592315674,
-0.33011311292648315,
-1.2462756633758545,
0.20091328024864197,
-0.7969464659690857,
-0.341448605060... |
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... | No
| 9 | NIv2 | task1204_atomic_classification_hinderedby | fs_opt | [
1.461061954498291,
0.07186096906661987,
0.18851350247859955,
-0.020083807408809662,
-0.47466516494750977,
-1.3852381706237793,
0.7349742650985718,
0.5765262246131897,
-0.6875057220458984,
-0.13044457137584686,
-0.5339999794960022,
-0.43255704641342163,
-0.5190075039863586,
0.09334557503461... |
Given the task definition and input, reply with output. A text is given in English. Translate it from the English language to the Oriya language. The translation must not omit or add information to the original sentence.
The government can build social infrastructure in the form of a comprehensive healthcare programme... | ଭେଙ୍କେୟା ନାଇଡୁ କହିଛନ୍ତି । “ଚାଳନ୍ତୁ ଆମେ ପୁଣି ଆମ ଦେଶର ମହିଳାଙ୍କ ଗୌରବ ଏବଂ ସମ୍ମାନ ବଜାୟ ରଖିବା ଲାଗି ନିଜକୁ ଉତ୍ସର୍ଗ କରିବା,” ବୋଲି ସେ କହିଛନ୍ତି । | 5 | NIv2 | task987_pib_translation_english_oriya | zs_opt | [
-0.4887629747390747,
1.2689298391342163,
0.8753643035888672,
-0.3240441679954529,
-0.09960971772670746,
-0.6907793283462524,
0.8390519618988037,
0.30789557099342346,
0.24934466183185577,
0.1382102519273758,
-0.3609505295753479,
0.12900064885616302,
-0.5969545841217041,
-0.09495218098163605... |
Given a category and a set of five words, find the word from the set that does not belong (i.e. is the least relevant) with the other words in the category. Words are separated by commas.
Q: Category: geographical property
Words: plain, plane, flat, hill, cabin
A: | cabin | 4 | NIv2 | task141_odd-man-out_classification_category | zs_opt | [
-0.43982797861099243,
0.3959905803203583,
-0.051664263010025024,
-0.6973475813865662,
0.44510674476623535,
-0.5795036554336548,
0.2980594336986542,
0.534453272819519,
-0.19660896062850952,
-0.4661814570426941,
-0.9063058495521545,
0.3587413430213928,
-0.7182033061981201,
-0.148892581462860... |
In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/existing words removed. Yo... | Reed avoided the town watch he was one of the robbers.
| 1 | NIv2 | task068_abductivenli_incorrect_answer_generation | fs_opt | [
0.8924276232719421,
0.565767765045166,
-0.058386169373989105,
-0.16453760862350464,
-0.30146223306655884,
-0.33148032426834106,
0.43763989210128784,
0.7740217447280884,
-0.30424973368644714,
-0.20756711065769196,
-1.1387157440185547,
0.4694688320159912,
-0.5685827136039734,
-0.178837031126... |
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 additional contexts about the situation that might UNDERMINE or... | Solution: strengthener | 5 | NIv2 | task937_defeasible_nli_social_classification | fs_opt | [
-0.16963738203048706,
0.5745415091514587,
-0.046676166355609894,
0.10137730836868286,
-0.06370358169078827,
-1.185290813446045,
0.7893663644790649,
1.2137103080749512,
0.38616207242012024,
-0.4087556004524231,
-1.4057133197784424,
0.017563968896865845,
-0.5801781415939331,
-0.2133743166923... |
Teacher: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 t... | No | 6 | NIv2 | task1211_atomic_classification_hassubevent | zs_opt | [
0.35013073682785034,
0.16323120892047882,
0.3502981662750244,
-0.30739760398864746,
-0.4776565432548523,
-0.7953877449035645,
1.46785306930542,
0.25762444734573364,
-0.44302237033843994,
-0.44460034370422363,
-0.4124112129211426,
-0.38211023807525635,
-0.9608892798423767,
0.144688069820404... |
Given the task definition and input, reply with output. Generate an explanation for the given claim using the provided supporting material from the paragraph. Please consider the following points while generating an output. 1) The claim will always have supporting proof in the paragraph, and the paragraph will have a c... | A long-running and well-respected workplace wellness program at PepsiCo that encourages employees to adopt healthier habits has not reduced healthcare costs, according to the most comprehensive evaluation of a such a program ever published. | 5 | NIv2 | task1369_healthfact_sentence_generation | zs_opt | [
0.14115747809410095,
0.5015379786491394,
-0.5301620960235596,
-0.5289112329483032,
0.5765891075134277,
-0.04056316241621971,
0.28888824582099915,
0.5351077318191528,
0.09563508629798889,
0.22008971869945526,
-0.1309654861688614,
0.5784634351730347,
-0.09590940922498703,
-0.2022457867860794... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a review from Amazon. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good.
Absolutely horrible... | 1 | 1 | NIv2 | task1310_amazonreview_rating_classification | zs_opt | [
-0.349333792924881,
-0.46980929374694824,
0.34343814849853516,
0.1307196319103241,
0.6821353435516357,
0.08027151226997375,
0.48177653551101685,
0.808425784111023,
-0.08794630318880081,
0.47904396057128906,
-0.5637555718421936,
-0.09178809076547623,
-0.272392600774765,
-0.3722248673439026,... |
You will be given a definition of a task first, then some input of the task.
In this task, a passage will be given and the goal is to identify an event from the passage. An event is defined as a single word representing something that happened, is happening, or may happen. An event can be factual or hypothetical, posit... | improved | 1 | NIv2 | task388_torque_token_classification | zs_opt | [
0.4171040654182434,
0.14179262518882751,
-0.055257879197597504,
0.22177334129810333,
-0.17470310628414154,
0.11570139229297638,
0.4427846074104309,
1.1086480617523193,
-0.003399619599804282,
0.24519048631191254,
-0.39057037234306335,
-0.05025101080536842,
-0.3828904926776886,
0.14901138842... |
Definition: You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long.
The answers need to be context specific and can not be general knowledge or a random guess.
Input: CONTEXT: 3 de julio de 2009 Comienza la operación "golpe de espada", cuatro mil marin... | reconstruir la confianza entre los residentes al evadir muertes de civiles | 2 | NIv2 | task1334_sqac_answer_generation | zs_opt | [
0.2357604205608368,
0.6237200498580933,
-0.37321317195892334,
-0.47500476241111755,
0.4552520513534546,
-0.6117469072341919,
1.1323699951171875,
0.4628063142299652,
0.20515571534633636,
0.6637289524078369,
-0.44703152775764465,
0.32067859172821045,
-0.9025242924690247,
-0.00018487451598048... |
Detailed Instructions: In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element in the reverse order. i and j will be non-negative, and will always have a value less than the length of A. i will always be less t... | 8881, s, 2991 | 9 | NIv2 | task099_reverse_elements_between_index_i_and_j | zs_opt | [
-0.40247249603271484,
0.32277727127075195,
-0.7195343971252441,
-0.4021660089492798,
-0.3039182722568512,
-0.28325003385543823,
0.5716676712036133,
-0.24233193695545197,
-0.3012309968471527,
0.10341046750545502,
-0.8870396018028259,
0.20413288474082947,
0.06926834583282471,
0.3146387934684... |
Detailed Instructions: 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".
Q: Tweet: bike dropped chain over speedbump, n... | no | 9 | NIv2 | task196_sentiment140_answer_generation | zs_opt | [
-0.8737457394599915,
0.006340492516756058,
-0.0038001094944775105,
0.4067997336387634,
0.12123015522956848,
-1.3618550300598145,
0.22254380583763123,
1.2171224355697632,
0.22323882579803467,
0.2632548213005066,
-0.35249269008636475,
0.039596784859895706,
0.06609540432691574,
-0.18834057450... |
Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Input: W 2009 roku poproszono mnie o zrobienie plakatu umieszczonego w wagonach metra w Nowym Jorku na okres roku.
Output: | وفي 2009 طلب مني صنع بوستر ليوضع في نفق السيارات بنيويورك لمدة عام | 3 | NIv2 | task1259_ted_translation_pl_ar | zs_opt | [
-0.6061533093452454,
0.8513231873512268,
-0.34533846378326416,
-0.3106352686882019,
-0.45844289660453796,
-0.5435922741889954,
-0.07171845436096191,
-0.21559488773345947,
0.2457515448331833,
0.43627220392227173,
0.5321341753005981,
0.11315691471099854,
-0.4740651845932007,
0.15014228224754... |
In this task, you will be presented with a question having multiple possible answers in Arabic language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Q: Question: كانت في علاقة ، فماذا انتهى عند اكتشاف زوجها لها؟
Options: A صلة B الاخلاص C زواج D... | C | 4 | NIv2 | task1142_xcsr_ar_commonsense_mc_classification | zs_opt | [
0.06434360146522522,
0.7152174711227417,
-0.32563406229019165,
-0.3242546021938324,
-0.5686854124069214,
0.44542238116264343,
1.2764865159988403,
0.7742611765861511,
0.3621751368045807,
-0.4835015833377838,
-0.6793805360794067,
0.34338027238845825,
-0.5540235042572021,
-0.33253058791160583... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in English. Your job is to translate the English sentence into Polish.
To make the case to the National Health Service that more resources were needed for autistic children and their families, Lorna and her colleague ... | Chcąc uświadomić brytyjskiej służbie zdrowia, że autystyczne dzieci i ich rodziny potrzebują więcej pomocy, Lorna i jej znajoma Judith Gould postanowiły uczynić coś, co powinno stać się już 30 lat wcześniej. | 1 | NIv2 | task1092_ted_translation_en_pl | zs_opt | [
-1.1820542812347412,
0.8301125764846802,
-0.059818852692842484,
-0.3031543493270874,
-0.11674503982067108,
0.10346055030822754,
0.43896347284317017,
-0.47460514307022095,
0.10485208034515381,
-0.08105037361383438,
0.4225107729434967,
0.8110271692276001,
-0.2808328866958618,
-0.396374344825... |
In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story coherent / plausible by writing "1" or "2" in the output. If both sentences are plausible, pick the one that makes most sense.
One example is below.
Q: Be... | 2 | 9 | NIv2 | task069_abductivenli_classification | fs_opt | [
-0.3248125910758972,
0.57639479637146,
0.21750125288963318,
-0.10186856985092163,
-0.3521900773048401,
-0.4090331494808197,
0.5613980293273926,
0.7266301512718201,
0.29193973541259766,
-0.005846838932484388,
-0.6183428764343262,
0.0614662803709507,
-0.4805966019630432,
-0.4475075304508209,... |
Q: In this task, you are given books product reviews in German language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Einfach nur schlecht! . Ich habe das Buch gerade zu Ende gelesen und muss mich hier leid... | NEG | 7 | NIv2 | task479_cls_german_books_classification | zs_opt | [
-0.5488569140434265,
0.7046211361885071,
-0.45860278606414795,
-0.6368014812469482,
0.06564092636108398,
0.15844684839248657,
1.5355784893035889,
0.6939167976379395,
0.4794069528579712,
0.1645885407924652,
-0.9161582589149475,
0.15031972527503967,
-0.2877829074859619,
0.021534647792577744,... |
Teacher:Given a sentence, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
Teacher: Now, understand the problem? Solve this instance: Verify if the sentiment of the following d... | yes | 6 | NIv2 | task422_persent_sentence_sentiment_verification | zs_opt | [
-0.8109194040298462,
-0.1704457402229309,
0.731797456741333,
-0.013447367586195469,
-0.316318541765213,
-1.0396188497543335,
-0.16737239062786102,
1.1082093715667725,
-0.1432667374610901,
0.7832867503166199,
-0.024797528982162476,
-0.05700881406664848,
-0.27644088864326477,
-0.394566178321... |
In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. Your answer should be chosen from the given text, and should not contain other words.
Q: Joey Caruso: Roses are re... | monkey | 4 | NIv2 | task401_numeric_fused_head_reference | zs_opt | [
-0.5804212093353271,
0.7044640779495239,
-0.547291100025177,
-0.29387521743774414,
-0.04658709466457367,
-0.3106503486633301,
0.6186739206314087,
1.0414865016937256,
-0.49119019508361816,
0.2178199589252472,
-0.4086115062236786,
0.003675224259495735,
-0.03537088632583618,
0.084904320538043... |
In this task, you are given a sentence in Spanish and your task is to translate it into English. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
Example input: Está, sin duda, dentro de la línea de las posiciones que nuestro Parlamento siempre ha adoptado... | We wholeheartedly support, at national level, many of the ideas presented in Mr Andersson' s report. | 3 | NIv2 | task531_europarl_es_en_translation | fs_opt | [
-0.13025197386741638,
0.8310583829879761,
0.22915694117546082,
-0.4064664840698242,
0.36645591259002686,
-1.8141030073165894,
1.0233832597732544,
0.3056259751319885,
-0.13589993119239807,
0.30955854058265686,
0.09003113210201263,
0.641532301902771,
-0.734036922454834,
0.2359340488910675,
... |
Q: Given a sentence in the Japanese and Thai language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: ポルトガルのペドロ・サンタナ・ロペス首相は、彼の内閣全体とともに、ホルヘ・サンパイオ大統領が西ヨーロッパ議会を解散したのを受けて土曜日に辞任した。
Thai: เจ้าหน้าที่เย... | No | 7 | NIv2 | task1129_alt_ja_th_answer_generation | zs_opt | [
-0.4112534523010254,
-0.1262269914150238,
-0.06421932578086853,
0.23547643423080444,
0.08257277309894562,
-1.442474126815796,
-0.0018231619615107775,
0.14747045934200287,
-0.4196273684501648,
-0.2651524245738983,
0.37547826766967773,
0.3495195209980011,
-0.03278739005327225,
0.311349868774... |
Definition: In this task, you're given a fill-in-the-blank question that contains two object names. Additionally, you're given one answer which is one of the objects present in the question. In this task, you need to minimally change the given question so that the answer flips to another object in the question. Remembe... | All of the money that he stole wouldn't fit in the safe, because the _ was so small. | 2 | NIv2 | task034_winogrande_question_modification_object | zs_opt | [
0.6400664448738098,
0.15496879816055298,
0.08851101994514465,
-0.3005625605583191,
0.5639795064926147,
-0.7808653116226196,
0.9407672882080078,
1.101391315460205,
-0.5924351215362549,
-0.3636844754219055,
-0.44918563961982727,
0.32207047939300537,
-0.39474964141845703,
-0.1332496553659439,... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, Pers... | Yes | 1 | NIv2 | task1206_atomic_classification_isbefore | zs_opt | [
0.3634076714515686,
0.35002651810646057,
0.31349852681159973,
-0.06998927891254425,
-0.4913098216056824,
-0.7507965564727783,
1.2489230632781982,
0.21269747614860535,
-0.5695048570632935,
-0.3832924962043762,
-0.2504725456237793,
-1.1249439716339111,
-0.4412465989589691,
0.4586123824119568... |
In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3.
Example input: [2, 5, 9, 6, 11]
Example output: [2, 5, 11]
Example explanat... | [1, -71, 79, 53, -4, -74, 88] | 3 | NIv2 | task370_synthetic_remove_divisible_by_3 | fs_opt | [
-0.14723607897758484,
0.0066138384863734245,
-0.09596937894821167,
-1.058555006980896,
0.29880455136299133,
-0.3698498606681824,
0.74796462059021,
-0.04504581540822983,
-0.18216733634471893,
0.13345851004123688,
-0.41167202591896057,
0.0012407130561769009,
0.08106878399848938,
-0.333770453... |
You are given a statement written in Bengali. 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: Statement: ১লা ফেব্রুয়ারী <MASK> ভ্রমণ প্রদর্শক হিসেবে কর্মরত একজন চীনের নাগরিককে দেশে দ্বাদশ করোনা... | ফরাসি | 6 | NIv2 | task945_wiki_cloze_bn_multiple_choice_question_answering | fs_opt | [
0.08976645767688751,
1.0515621900558472,
-0.6740849018096924,
0.2876358926296234,
0.09100551903247833,
-0.5619151592254639,
0.1486349105834961,
0.8984931707382202,
0.5358128547668457,
-0.20466211438179016,
0.41099032759666443,
1.3365731239318848,
-0.6876530051231384,
0.006247972138226032,
... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
One example is below.
Q: 地球が今よりも無垢だった時代を訪れたかのようでした
A: كان الأمر كزيارة أكثر عصور البراءة على كوكب الأرض
Rationale: The Japanese sentence is correctly translated into Arabic, because the meaning is preserved.
Q: 目に見えない危機ですそ... | أزمة غير مرئية ، ولقد وجدت هذه الأزمة منذ العديد والعديد من السنوات. | 9 | NIv2 | task1224_ted_translation_ja_ar | fs_opt | [
0.600965678691864,
0.4484110474586487,
0.026589322835206985,
-0.5607519149780273,
-0.06179099902510643,
-0.1686038374900818,
0.8550922870635986,
0.03132028132677078,
-0.1394728124141693,
0.16998714208602905,
-0.7952615022659302,
0.130407452583313,
-0.8516596555709839,
0.6600769758224487,
... |
Detailed Instructions: In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each ci... | holding a cause of action accrues once an injury has occurred and manifested itself | 4 | NIv2 | task287_casehold_legal_incorrect_answer_generation | fs_opt | [
0.7668060064315796,
0.22957244515419006,
-0.3670366406440735,
0.017722075805068016,
0.5355745553970337,
-1.1824734210968018,
0.2960415482521057,
1.0387544631958008,
-0.4035511314868927,
0.1475144624710083,
-0.5867316722869873,
0.45981961488723755,
-0.4332369565963745,
0.12267930805683136,
... |
Detailed Instructions: This task involves annotating the answer type to a given question that involve some kind of complex reasoning (including numerical reasoning). Note that the questions require looking at more than one part of the passage to answer. There are 3 possible answer types (i) spans, (ii) numbers and (iii... | span | 8 | NIv2 | task027_drop_answer_type_generation | zs_opt | [
0.38980862498283386,
0.1802489161491394,
0.23919767141342163,
-0.25876450538635254,
-0.4018614888191223,
-0.0942247211933136,
0.6817811727523804,
0.6380738019943237,
0.08537563681602478,
0.7693332433700562,
-0.2971190810203552,
0.6647383570671082,
-0.22346895933151245,
-0.31818121671676636... |
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