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 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.
If you're a fan of full-bodied coffees, give this one a shot. For my taste, the vast majority of k-cups are too watery and weak (even on the small cup setting),... | Positive
| 0 | NIv2 | task586_amazonfood_polarity_classification | fs_opt | [
-0.12036465108394623,
-0.20193371176719666,
-0.04242401570081711,
0.002651385497301817,
0.0170257780700922,
-0.7427051067352295,
1.3908300399780273,
-0.16033747792243958,
0.5322666168212891,
0.4146098494529724,
-0.22886019945144653,
0.5153082609176636,
-0.9023658633232117,
-0.0097893998026... |
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: Belinda , I ’ m going to a party tonight . What shall I wear ?
Person2: Is it formal or informal ?
Perso... | 1 | 0 | NIv2 | task1534_daily_dialog_question_classification | zs_opt | [
0.4980952739715576,
0.09118125587701797,
-0.5235137939453125,
0.9692481756210327,
-0.27917182445526123,
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0.6971418857574463,
0.2023175060749054,
-0.24117010831832886,
0.09545949101448059,
-0.3243841826915741,
0.04789755493402481,
0.01905498281121254,
0.1220036968588829... |
In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story and their positions in the s... | 1b, 5c | 4 | NIv2 | task222_rocstories_two_chioce_slotting_classification | zs_opt | [
-0.08969481289386749,
0.2736290693283081,
-0.10066662728786469,
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0.02773970365524292,
-0.3645736575126648,
-0.37668120861053467,
0.19954034686088562,
-0.378365963697433... |
In this task, you are given a sentence in the English and Hindi language. Your task is check if the Hindi sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
Q: English: "The whole thing is taking place in what you might call a flickering of an evo... | Yes | 4 | NIv2 | task434_alt_en_hi_answer_generation | zs_opt | [
-0.8015813231468201,
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-1.0924601554870605,
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-0.6723940372467041,
-0.08302351087331772,
-0.5448840856552124,
-0.40340521931648254,
0.4822490215301513... |
Given the task definition and input, reply with output. Given a sentence and two mentions from the text (arguments), indicate a phrase (a verb or noun phrase) that describes the relationship between the provided arguments.
Sentence: 'Brazil is a country that is located in South America .', Argument/Subject 1: 'brazil'... | be locate in | 5 | NIv2 | task676_ollie_relationship_answer_generation | zs_opt | [
-0.3052164912223816,
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-0.43810760974884033,
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-0.47775745391845703,
-0.0401843786239624,
-0.044251054525375366,
0.116636574268... |
Teacher: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.
Teacher:... | plant | 6 | NIv2 | task039_qasc_find_overlapping_words | zs_opt | [
-0.01261869352310896,
1.0166699886322021,
0.35985779762268066,
-0.3261428475379944,
-0.028123486787080765,
-0.9637578725814819,
0.45906808972358704,
0.5844143629074097,
-0.2819790840148926,
-0.5407617092132568,
-0.865716278553009,
-0.5667282342910767,
-1.2426517009735107,
0.539067387580871... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Polish. Your job is to translate the Polish sentence into Japanese.
Będąc młodym prawnikiem, miałem przywilej spotkania Rosy Parks,
Output: | 新人の弁護士のころ光栄にもローザ・パークス氏に会いました | 1 | NIv2 | task1257_ted_translation_pl_ja | zs_opt | [
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-0.40386852622032166,
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0.6313153505325317,
-0.4044147729873657,
1.19329833984375,
-0.5568636655807495,
0.19871759414672852,
0.0755593478679657,
-0.1687336564064026,
0.5469636917114258,
... |
Instructions: In this task, you are given a abstract of article and corresponding title of an article. Your task is to generate label "yes" if title is right for article, otherwise generate "no".
Input: Abstract: Missense mutations in the CIAS1 gene cause three autoinflammatory disorders: familial cold autoinflammatory... | no | 3 | NIv2 | task1587_scifact_classification | zs_opt | [
0.4318225681781769,
0.009585680440068245,
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0.6402158141136169,
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-0.5385339260101318,
-0.34407496452331543,
-0.954704999923706,
-0.2984355092048645,
... |
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.
Input: Comment: Kim doesn't have wh... | Threat | 3 | NIv2 | task322_jigsaw_classification_threat | zs_opt | [
-0.750450611114502,
0.6349757313728333,
0.8515117168426514,
-0.3299446105957031,
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0.0038164560683071613,
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0.09079955518245697,
0.21431778371334076,
-0.5178427696228027,
-0.3623340129852295,
... |
Definition: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You ha... | Yes | 2 | NIv2 | task1215_atomic_classification_capableof | zs_opt | [
0.5903562307357788,
0.5233381986618042,
0.3664068579673767,
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1.1519156694412231,
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-0.41503840684890747,
0.2448369264602661,... |
You will be given a definition of a task first, then some input of the task.
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.
これは、二人のノーベル賞受賞者を含んだグループや、科学の授業で天地創造に関する授業をすること、または議論をすることにさえ強く反対する他の... | Ito ay nag-udyok ng isang pagsalakay ng pagtutol mula sa grupo na kinabibilangan ng dalawang Nobel Laureates at iba pang mga siyentipiko na matinding kinalaban ang pagtuturo, pati na ang pagtalakay ng paglikha sa klase ng agham. | 1 | NIv2 | task1118_alt_ja_fil_translation | zs_opt | [
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0.25326108932495117,
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-0.4145377576351166,
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0.4646201729774475,
0.46611538529396057,
-0.019442405551671982,
-0.3369942903518677,
-0.801436185836792,
0.023466186597943306,
-0.6724423170089722,
-0.05485254526... |
Detailed Instructions: A text is given in Tamil. Translate it from the Tamil language to the Hindi language. The translation must not omit or add information to the original sentence.
Q: உங்கள் அனைவருக்கும் எனது காலை வணக்கங்கள்.
A: | आप सभी को बहुत-बहुत शुभ प्रभात। | 9 | NIv2 | task994_pib_translation_tamil_hindi | zs_opt | [
0.5598964691162109,
0.19122374057769775,
-0.08870396763086319,
0.4004136025905609,
-0.2716542184352875,
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-0.09363964200019836,
-0.5911243557929993,
-0.5462203025817871,
-0.3930864930152893,
-0.37748298048973083,
-0.18601085245609283,
-0.13033142685890198,
0.146007865667... |
Given the task definition and input, reply with output. In this task, you need to Translate Czech text to English.
Resení se týká tesnení pro skla (10) vozidel, zejména pro spodní okraj (14) predního skla (10) vozidla, sestávajícího z profilového telesa (20), které je svou dosedací plochou (23) pripevnitelné na spodní... | The present invention relates to a seal for vehicle glasses (10), particularly for bottom edge (12) of a vehicle windscreen (10) wherein the seal consists of a profiled body (20) having its bearing surface (23) fixed to the vehicle windscreen (10) bottom edge (12). The seal profiled body (20) having in cross section th... | 5 | NIv2 | task842_para_pdt_cs_en_translation | zs_opt | [
-0.5944570302963257,
0.5363234877586365,
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0.6917077302932739,
0.6359522342681885,
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0.06739410758018494,
-0.3344665467739105,
0.18489086627960205,
0.0981658399105072,
1.0110429525375366,
... |
Given the task definition and input, reply with output. You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
Alonzo made me feel ecstatic.
| male | 5 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | zs_opt | [
-0.991222083568573,
0.6870137453079224,
-0.19343164563179016,
-0.34871867299079895,
-0.43963733315467834,
0.03560692444443703,
0.7692540884017944,
-0.21524368226528168,
0.6636440753936768,
-0.38083216547966003,
-0.75764399766922,
0.08875469863414764,
-0.7368042469024658,
0.0284396409988403... |
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 inputs i and A, where i is an integer and A is a list. You need to output the first i elements of A, starting with the 1st element in A. i will always have a value less th... | s, T, 6359, d, 9441, 485, f, P | 0 | NIv2 | task063_first_i_elements | fs_opt | [
0.2567683458328247,
-0.019412197172641754,
-0.32910317182540894,
-0.5514955520629883,
0.2613290250301361,
-0.032039470970630646,
0.624822735786438,
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-0.8741793036460876,
-0.2808608412742615,
0.24301496148109436,
-0.311946988105... |
In this task, you are given a set of context paragraphs, some supporting facts and an answer of a question. Your task is to generate question for given answer based on set of context paragraphs, supporting facts and an answer.
Let me give you an example: Context_1 : Charles Edward Ives ( ; October 20, 1874May 19, 1954... | Were the ruling in the Terry v. Ohio and Reynolds v. Sims cases given in the same year ? | 8 | NIv2 | task191_hotpotqa_question_generation | fs_opt | [
0.7837376594543457,
0.3380376994609833,
-0.8237434029579163,
1.0233982801437378,
0.5193663835525513,
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0.6986279487609863,
0.5837059020996094,
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0.3463640809059143,
-0.06835490465164185,
0.5107598304748535,
-0.9527741074562073,
-0.06729194521903992,
... |
Teacher: In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
Teacher: Now, understand the problem? If you are still confused, see the following example:
و همان کسى که جفتها را یکسره آفرید، و براى شما از کشتیها و دامها [وسیلهاى که] سوار شوید قرار داد.
Soluti... | Your Lord knows what is in your heart. If you are righteous, then He is indeed forgiving to those who turn (to Him) in repentance. | 2 | NIv2 | task657_quran_fa_en_translation | fs_opt | [
-0.47515636682510376,
0.24778185784816742,
-0.07583905756473541,
-0.2639220952987671,
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0.8858778476715088,
0.7046834230422974,
0.03734412044286728,
-0.19968083500862122,
-0.44019588828086853,
0.7997742891311646,
-0.729211688041687,
0.054736267775297... |
You are given a target race, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-stereotype is an idea th... | stereotype | 4 | NIv2 | task320_stereoset_classification_race | zs_opt | [
-0.04462689906358719,
0.22266283631324768,
0.3222617506980896,
-0.156722754240036,
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0.611546516418457,
0.7898847460746765,
0.2611900568008423,
0.04134755954146385,
-0.37402868270874023,
-0.02066817693412304,
-1.0092053413391113,
-0.2101759463548660... |
Teacher: This task is to translate the English language Input to Telugu Language Output
Teacher: Now, understand the problem? If you are still confused, see the following example:
I am very happy
Solution: స్నేను చాలా సంతోషంగా ఉన్నాను
Reason: The translation is correct with meaning of the sentence not being impacted.
... | 100% స్వాగతం | 2 | NIv2 | task1616_cc_alligned_translate_eng_tel | fs_opt | [
-0.26932430267333984,
0.439788281917572,
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0.0875045508146286,
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0.01969536393880844,
-0.48181968927383423,
-0.45533156394958496... |
Translate from English to Hindi.
Q: Hello.
A: | हेलो. | 4 | NIv2 | task1329_open_subtitles_en_hi_translation | zs_opt | [
0.6795329451560974,
1.0680749416351318,
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0.05367892608046532,
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0.17461279034614563... |
Q: 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 neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confu... | The man is delivering mail. | 7 | NIv2 | task184_snli_entailment_to_neutral_text_modification | zs_opt | [
-0.9349313974380493,
0.848219633102417,
0.2022855281829834,
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0.0621237903833389... |
Teacher: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Polish.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Os "" media "" interligavam-se connosco.
Solution: Media łączyły się z nami.
Reason: The Portugese sentence is correc... | Dla przykładu, w 1990 roku odra była przyczyną śmierci czterech milionów osób, a obecnie zabiera mniej niż 400 000 osób. | 2 | NIv2 | task1281_ted_translation_pt_pl | fs_opt | [
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0.15659642219543457,
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0.7182390093803406,
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-0.17362600564956665,
0.9544944763183594,
-0.9830996990203857,
-0.189598202705... |
Given the task definition and input, reply with output. You are given a password and you need to generate the number of steps required to convert the given password to a strong password. A password is considered strong if (a) it has at least 6 characters and at most 20 characters; (b) it contains at least one lowercase... | 1 | 5 | NIv2 | task956_leetcode_420_strong_password_check | zs_opt | [
0.07719303667545319,
1.2523131370544434,
0.07679973542690277,
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-0.048199836164712906,
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-0.9793038368225098,
-0.209316894412... |
Detailed Instructions: 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".
Q: Context: Robin br... | False | 9 | NIv2 | task384_socialiqa_question_classification | zs_opt | [
-0.17679840326309204,
0.5860188007354736,
0.7688331604003906,
-0.09457263350486755,
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0.5453366041183472,
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0.11767490208148956,
-0.7997972965240479,
0.1498379111289978,
-0.12145352363586426,
0.6699900031089783,... |
Detailed Instructions: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Problem:This movie looks like it was made for TV . For years I waited for some movie to be made about Rubin Carter, because I loved to... | negative | 8 | NIv2 | task284_imdb_classification | zs_opt | [
-0.5261589288711548,
0.47720304131507874,
0.08751917630434036,
0.295490026473999,
0.8578835129737854,
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0.41641077399253845,
0.834080696105957,
0.2076008915901184,
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-0.23864386975765228,
-0.41950997710227966,
-0.4471040964126587,... |
Q: In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the alphabetical elements in the given list. Return 0 if no alphabetical element in the list
['3405', 'z', '6539', 'a', '3489', '6267', 'g', 'o', '8489', 'r', '3771', ... | 19 | 7 | NIv2 | task504_count_all_alphabetical_elements_in_list | zs_opt | [
-0.18264009058475494,
0.8321526646614075,
0.16782456636428833,
-0.5233007669448853,
0.2890889048576355,
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0.7032811641693115,
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0.2683822810649872,
0.3828315734863281,
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... |
Teacher: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".
Teacher: Now, understand the problem? Solve thi... | False | 6 | NIv2 | task1162_coda19_title_classification | zs_opt | [
0.4208461046218872,
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0.08421047776937485,
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1.339577317237854,
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0.27093493938446045,
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0.5976296067237854,
-0.11513900756835938,
0.00440855696797370... |
Detailed Instructions: In this task, you are given a sentence in the English language and your task is to convert English sentence into the Gujarati language.
See one example below:
Problem: A herd of sheep standing together grazing in a pasture.
Solution: ઘેટાંની ટોળાં એક ગોચરમાં ચરાઈ સાથે મળીને ઊભા છે.
Explanation: T... | અગ્નિ હાઇડ્રન્ટ લાલ, સફેદ અને વાદળી દોરવામાં આવે છે અને ઈંટની દીવાલની સામે એક સાઇડવૉક પર બેસી જાય છે જે ગ્રેફિટી દર્શાવે છે. | 4 | NIv2 | task438_eng_guj_parallel_corpus_en_gu_translation | fs_opt | [
-0.5825848579406738,
0.24323856830596924,
0.2687532603740692,
-0.08632425963878632,
0.042106617242097855,
-0.8500028848648071,
-0.3524993360042572,
0.19782929122447968,
-0.06843956559896469,
-0.38027238845825195,
-0.6182651519775391,
0.4058587849140167,
-0.37285858392715454,
-0.13383382558... |
In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the gendered pronouns in the text and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable.
One example i... | Identifiable | 9 | NIv2 | task351_winomt_classification_gender_identifiability_anti | fs_opt | [
-0.8022463321685791,
0.5601613521575928,
-0.08698675781488419,
-0.42460235953330994,
0.1277133822441101,
-0.15695878863334656,
0.022354044020175934,
1.1989402770996094,
0.6083357334136963,
0.28401002287864685,
-1.295257568359375,
-0.16855034232139587,
-0.4105430245399475,
-0.27569979429244... |
Instructions: Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
Input: English sentence: Think of a skilled sculptor, carefully chiseling away until his masterpiece is beautiful.
Output: | Na-eche nke a ọkà ọkpụ, ọma chiseling pụọ ruo mgbe ya masterpiece mara mma. | 3 | NIv2 | task452_opus_paracrawl_en_ig_translation | zs_opt | [
-0.37665075063705444,
0.729308009147644,
0.2759092152118683,
-0.34799134731292725,
0.7565932273864746,
-1.0122168064117432,
-0.22640904784202576,
0.3576586842536926,
-0.23233801126480103,
0.11991465091705322,
-0.06464244425296783,
0.2440120428800583,
-0.5475481748580933,
0.2397375106811523... |
Detailed Instructions: Write a correct answer for the question. You should reason about prototypical situations and provide the correct answer. Avoid answers that provide incomplete justification for the question.
Problem:what line of work should you get into if your hairstyle is stiff and plastered with hairspray?
Sol... | politician | 8 | NIv2 | task820_protoqa_answer_generation | zs_opt | [
-0.21301713585853577,
0.9453856348991394,
0.192826047539711,
-0.8823831081390381,
0.014441209845244884,
-0.8053030371665955,
-0.6537582874298096,
0.9020101428031921,
0.7278098464012146,
0.555321991443634,
-0.3639374375343323,
-0.09272065758705139,
0.23786765336990356,
-0.5439711213111877,
... |
Q: In this task, you are given an input list A. You need to find all the elements of the list that are numbers and calculate their sum.
['2241', 'B', 'P', 'e', 'l', 'e', '9733', 'p', '2051', 'Y', 'H', 'g', '7029', 'c']
A: | 21054 | 7 | NIv2 | task499_extract_and_add_all_numbers_from_list | zs_opt | [
-0.29239729046821594,
0.7367478013038635,
-0.35177525877952576,
-0.7241678237915039,
-0.22796857357025146,
-0.9548913240432739,
0.47347015142440796,
-0.30102378129959106,
-0.686343789100647,
0.18422561883926392,
-1.3643031120300293,
0.42467689514160156,
0.09102903306484222,
-0.303465247154... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
Example input: Aquí esta la medusa ala-x de la muerte.
Example output: Qui c'è la medusa mortale con le ali ad X.
Example explanation: The Spanish sentence is correctly translated into Italian, because the meaning is prese... | Innanzitutto, si cerca e si etichetta un ricordo nel cervello, poi lo si attiva tramite un interruttore. | 3 | NIv2 | task1101_ted_translation_es_it | fs_opt | [
0.07783879339694977,
0.20612873136997223,
-0.4909582734107971,
-0.20605969429016113,
-1.0468248128890991,
-0.7104886770248413,
0.7898459434509277,
1.2095314264297485,
0.15890216827392578,
-0.6491967439651489,
-0.3281361758708954,
-0.06667719036340714,
-0.40118688344955444,
1.12808346748352... |
Q: Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical condition, 11) military branch, 12) narrative location, 13) occupation, 14) ... | date of death | 7 | NIv2 | task1328_qa_zre_relation_generation_from_question | zs_opt | [
0.06608259677886963,
0.7150166630744934,
0.6135878562927246,
0.10783034563064575,
0.1554718017578125,
-0.3020656108856201,
0.04137902706861496,
0.7782480120658875,
-0.16759270429611206,
-0.1781994253396988,
-0.28042149543762207,
0.20763057470321655,
-0.6138516068458557,
0.47738227248191833... |
Instructions: A text is given in English. Translate it from the English language to the Gujarati language. The translation must not omit or add information to the original sentence.
Input: A National Hygiene Centre is also being set up in Delhi now.
Output: | આ જ કડીમાં દિલ્હીમાં એક રાષ્ટ્રીય સ્વચ્છતા કેન્દ્રની પણ સ્થાપના કરવામાં આવી રહી છે. | 3 | NIv2 | task1079_pib_translation_english_gujarati | zs_opt | [
0.39247921109199524,
1.1503357887268066,
-0.20931321382522583,
-0.11033614724874496,
0.09583431482315063,
-1.0253136157989502,
-0.11113427579402924,
-0.21285995841026306,
-0.37950921058654785,
0.0014581596478819847,
-0.5083199739456177,
0.1991785168647766,
-0.7636435031890869,
-0.084044300... |
In this task, you are given a premise sentence. Your task is to write a new sentence by substituting the subject and object (i.e., the input's subject should be output's object and vice versa.). The generated sentence must be fluent and shouldn't change the voice (i.e., passive or active) of the input.
--------
Questio... | The tourists thanked the artists .
| 7 | NIv2 | task1364_hans_answer_generation | fs_opt | [
-0.21046698093414307,
0.39738211035728455,
-0.1676587462425232,
0.0374833419919014,
0.29342886805534363,
-0.46918368339538574,
0.26916396617889404,
0.44593632221221924,
0.4049460291862488,
-1.007195234298706,
-0.8826550841331482,
0.014052791520953178,
-0.493216872215271,
-0.272291541099548... |
Part 1. Definition
Given a text, write a compressed version of it in a single sentence.
Part 2. Example
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.
Answer: "Except for this small vocal minor... | I urge you to support a group that the San Francisco Chronicle calls "one of America's most respected conservative organizations." | 7 | NIv2 | task1340_msr_text_compression_compression | fs_opt | [
-0.22900399565696716,
0.6893450021743774,
0.36450591683387756,
0.11061123013496399,
-0.32845473289489746,
-1.8571698665618896,
0.6211835741996765,
0.5051268935203552,
-0.3589150309562683,
0.42565083503723145,
-0.47811585664749146,
-0.08649120479822159,
-0.7051630020141602,
-0.3771271407604... |
Detailed Instructions: 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,... | (7, 8) | 8 | NIv2 | task089_swap_words_verification | zs_opt | [
-0.6753901243209839,
0.750098705291748,
-0.21215754747390747,
-0.6446269750595093,
0.1057024896144867,
-0.4583170711994171,
-0.08612807095050812,
0.33451521396636963,
0.28448599576950073,
-0.03935214877128601,
0.13156631588935852,
-0.11160551011562347,
-0.19568616151809692,
0.4719142913818... |
In this task, you're given a review from Amazon's food products. Your task is to generate a short summary of the given review in the input. Note that you don't need to write a complete sentence as a summary.
Example Input: I bought these to try them out and for the most part it was a success. There are 6 different fla... | be wary of size description
| 3 | NIv2 | task589_amazonfood_summary_text_generation | fs_opt | [
0.22017699480056763,
-0.011705882847309113,
0.08648061752319336,
-0.3808729350566864,
0.2737047076225281,
-0.47592589259147644,
0.9405226707458496,
0.5026875734329224,
-0.16480214893817902,
-0.05602915212512016,
0.07478278875350952,
0.21246658265590668,
-1.1072112321853638,
-0.197487801313... |
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 Spanish.
You're going to sort of breathe life into it.
Output: | Insuflarán el hálito de vida en él. | 1 | NIv2 | task1219_ted_translation_en_es | zs_opt | [
-0.6173182725906372,
0.7645236253738403,
-0.012624010443687439,
-0.15623916685581207,
0.4088033437728882,
-0.49176815152168274,
-0.0807616263628006,
0.8263654708862305,
0.37052252888679504,
0.004674120806157589,
-0.24418365955352783,
0.03222993016242981,
-0.4628780484199524,
-0.05861956626... |
You will be given a definition of a task first, then some input of the task.
Given a document and an entity the task is to select the author's sentiment towards the entity. Sentiments can be Positive, Neutral and Negative. Select Positive if the article expresses a positive view towards the given entity or praises its ... | Negative | 1 | NIv2 | task420_persent_document_sentiment_classification | zs_opt | [
-0.04135574772953987,
0.011553000658750534,
-0.2403198629617691,
-0.22503505647182465,
0.9549679756164551,
0.055595166981220245,
0.4675140976905823,
0.8862279653549194,
-0.06377996504306793,
0.11707141995429993,
0.15456360578536987,
0.46171140670776367,
-0.31678307056427,
0.442743957042694... |
Q: In this task, you're given an open-domain question. Your task is to provide an answer to the given question. There is only one unique answer for each question. Your answer should be short, and refer to an entity, date, number, etc. Do not put your answer in the context of a sentence.
What country did the us buy alas... | Russian Empire | 7 | NIv2 | task669_ambigqa_answer_generation | zs_opt | [
-0.1172482818365097,
0.228984534740448,
-0.1703777313232422,
0.10419236868619919,
-0.44233277440071106,
-0.5036316514015198,
1.2090204954147339,
0.08950149267911911,
-0.5894547700881958,
0.23956140875816345,
-0.5522867441177368,
-0.16262072324752808,
-0.285786509513855,
-0.3233538866043091... |
TASK DEFINITION: A text is given in Marathi. Translate it from the Marathi language to the Tamil language. The translation must not omit or add information to the original sentence.
PROBLEM: माझे मित्र राष्ट्राध्यक्ष मून यांच्यासमवेत नोएडा इथे उभारलेल्या सॅमसंगच्या या कारखान्यात येणे हा माझ्यासाठी अतिशय सुखद अनुभव आहे.... | பழைய அணுகுமுறையைப் பின்பற்றி இந்த மாற்றத்தைக் கொண்டுவந்திருக்க முடியாது.
| 8 | NIv2 | task1083_pib_translation_marathi_tamil | fs_opt | [
0.12593425810337067,
-0.4235162138938904,
-0.13372711837291718,
-0.28050050139427185,
-0.04568557068705559,
-0.8379501104354858,
0.9355347156524658,
0.5107548236846924,
0.390381783246994,
0.39712950587272644,
-0.21221303939819336,
0.18248160183429718,
-0.03623577952384949,
-0.1891620755195... |
You will be given a definition of a task first, then some input of the task.
In this task you are given a sentence pair from wikipedia that have high lexical overlap. If the sentences have the same meaning and are just paraphrases of each other label them as "Paraphrase" , if not label them as "Not paraphrase". The two... | Not paraphrase | 1 | NIv2 | task400_paws_paraphrase_classification | zs_opt | [
-1.0474803447723389,
0.805040717124939,
-0.4393824338912964,
-0.5013703107833862,
-0.0036675322335213423,
-0.2696910500526428,
0.5282331109046936,
0.3368379771709442,
-0.018051227554678917,
-0.16155341267585754,
0.03094201162457466,
-0.2626965045928955,
-0.7833046317100525,
0.0322821959853... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to determine if the two sentences clearly agree/disagree with each other, or if this can't be determined. Indicate your answer as yes or no respectively.
S... | yes | 1 | NIv2 | task199_mnli_classification | zs_opt | [
-0.4808451533317566,
0.5589616894721985,
0.41603904962539673,
0.21858733892440796,
0.2176724374294281,
-0.8766801357269287,
0.8631826639175415,
1.0755245685577393,
0.09803003072738647,
0.46367159485816956,
-0.1822887808084488,
-0.7434903383255005,
-0.8348939418792725,
-0.09176193177700043,... |
Detailed Instructions: In this task, you will be presented with a question, and you have to write the part-of-speech tag for each word in the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Fo... | WP NN VBD VBN IN DT NN WP VBD NNP CD , CD . | 9 | NIv2 | task345_hybridqa_answer_generation | zs_opt | [
0.41466984152793884,
0.5881943702697754,
-0.42749345302581787,
0.2556435167789459,
0.12695424258708954,
-1.030174970626831,
1.1180378198623657,
0.6262410283088684,
-0.8963717222213745,
0.03858233988285065,
0.02633405104279518,
-0.03561888262629509,
-0.16667282581329346,
0.01987271010875702... |
In this task, you are given two sentences in Persian separated with <sep>, and you have to determine whether the sentences are paraphrases or not. Classify your answers into "paraphrase" and "not-paraphrase".
One example is below.
Q: اگر Apple ID و ایمیل خود را فراموش کرده ام چه کاری می توانم انجام دهم؟ <sep> Apple ID ... | not-paraphrase | 9 | NIv2 | task465_parsinlu_qqp_classification | fs_opt | [
-0.8636406064033508,
0.9033924341201782,
-0.027318932116031647,
-0.5543108582496643,
-1.2067183256149292,
-0.21329909563064575,
1.7553216218948364,
0.75544273853302,
0.2528252601623535,
-0.12723460793495178,
-0.4506267011165619,
-0.2953195869922638,
-0.6584808826446533,
-0.0323533527553081... |
instruction:
This task is about translating a given English language sentence to Yoruba language.
question:
The Category 4 storm is considered one of the most powerful to hit the United States and has caused massive destruction to property.
answer:
Ìjì yìí le gan-an, wọ́n sì sọ pé ó wà lára àwọn ìjì tó le jù tó tíì jà ... | Ó dùn èèyàn àbí?.
| 9 | NIv2 | task1685_menyo20k_translation | fs_opt | [
0.23609191179275513,
1.2708115577697754,
0.5899968147277832,
0.12783527374267578,
0.145481139421463,
-0.7934821844100952,
-0.01663890667259693,
1.0672643184661865,
0.20077252388000488,
-0.31165438890457153,
-0.23192289471626282,
0.21995210647583008,
-0.37267249822616577,
0.0108465459197759... |
Instructions: A text is given in Bengali. Translate it from the Bengali language to the Tamil language. The translation must not omit or add information to the original sentence.
Input: আজ আমরা মাংগদেছু প্রকল্প উদ্বোধনের মাধ্যমে এই প্রক্রিয়ায় একটি ঐতিহাসিক সাফল্য অর্জন করেছি।
Output: | இன்று மங்கடேச்சு திட்டம் தொடங்கப்பட்டதை அடுத்து, நாம் மற்றொரு வரலாற்று மைல்கல்லை எட்டியிருக்கிறோம். | 3 | NIv2 | task981_pib_translation_bengali_tamil | zs_opt | [
0.0075762467458844185,
0.5915074348449707,
0.5378013849258423,
0.2949541211128235,
-0.24322640895843506,
-0.6830742359161377,
-0.2318427711725235,
0.8326605558395386,
-0.08143865317106247,
0.4731709361076355,
-0.7769443988800049,
-0.5284967422485352,
-0.07924725860357285,
-0.01482692733407... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label "... | No | 0 | NIv2 | task437_alt_en_ja_answer_generation | fs_opt | [
-0.4834575653076172,
0.26084649562835693,
0.1155778169631958,
0.2860114574432373,
0.0829988643527031,
-0.03710933029651642,
0.5290476083755493,
-0.16415295004844666,
-0.3343743681907654,
-0.6154537200927734,
0.5130602121353149,
0.787926971912384,
-0.13012707233428955,
0.8948310613632202,
... |
Q: 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, ... | elementary | 7 | NIv2 | task1712_poki_classification | zs_opt | [
-0.4547550082206726,
1.0672165155410767,
0.6910592317581177,
-0.42848557233810425,
-0.16554728150367737,
-0.9881867170333862,
-0.038427453488111496,
0.39786297082901,
0.4215930104255676,
-0.6213173270225525,
-0.2846564054489136,
0.7205087542533875,
0.3603147864341736,
0.020721089094877243,... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | Yes
| 0 | NIv2 | task1215_atomic_classification_capableof | fs_opt | [
0.07052446901798248,
0.6659131050109863,
0.6383159160614014,
-0.31817466020584106,
-0.34608006477355957,
-0.4088512063026428,
1.202955961227417,
0.46985435485839844,
-0.06098446249961853,
-0.5127769112586975,
-0.5770113468170166,
-0.380337119102478,
-0.40012821555137634,
0.2337163537740707... |
Given the task definition and input, reply with output. You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
La pregunta realmente interesante es qué sucede cuando les mostramos a los bebés lo mismo, y sabemos que es lo mismo, porque tenemos un compartimiento secreto y que e... | The really interesting question is what happens when we show babies exactly the same thing, and we can ensure it's exactly the same because we have a secret compartment and we actually pull the balls from there, but this time, all we change is the apparent population from which that evidence was drawn. | 5 | NIv2 | task1226_ted_translation_es_en | zs_opt | [
-0.13926443457603455,
0.772263765335083,
-0.015922296792268753,
0.2292533963918686,
-0.4631946086883545,
-0.3015519380569458,
0.42506110668182373,
0.5596199035644531,
0.5075154900550842,
-0.7957761287689209,
-0.36890387535095215,
0.9751262664794922,
-0.601384162902832,
0.20706656575202942,... |
Definition: 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 ... | elementary | 2 | NIv2 | task1712_poki_classification | zs_opt | [
-0.08191077411174774,
0.6293082237243652,
0.1509818583726883,
0.17271341383457184,
-0.43088942766189575,
-0.6832346320152283,
0.1535065472126007,
0.35790035128593445,
0.3639404773712158,
-0.6280601024627686,
-0.47722434997558594,
0.5218744277954102,
0.016773216426372528,
0.0835639163851738... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary sh... | Funerals paid for by crowdfunding are on the rise | 0 | NIv2 | task1358_xlsum_title_generation | fs_opt | [
-0.36901453137397766,
0.7029012441635132,
0.2839851677417755,
-0.024514980614185333,
-0.17562037706375122,
0.06381335854530334,
-0.09040096402168274,
0.5112699270248413,
-0.15294654667377472,
0.5823663473129272,
-0.632434606552124,
-0.1003812775015831,
-0.5037558078765869,
0.12625116109848... |
This task involves creating questions from a given passage that involve some kind of complex reasoning (including numerical reasoning).
The generated questions must require looking at more than one part of the passage to answer. Try to use a variety of reasoning types in your questions (some of the sample reasoning ty... | How many more million tons of tobacco leaf were produced in 1997 compared to 1971? | 4 | NIv2 | task026_drop_question_generation | zs_opt | [
0.35002100467681885,
0.6647177934646606,
-0.18234783411026,
0.310504674911499,
0.3099733591079712,
0.024119988083839417,
-0.07769112288951874,
1.0878527164459229,
-0.33087360858917236,
0.6161260008811951,
-0.7506194114685059,
-0.047429732978343964,
-0.9068545699119568,
0.529890775680542,
... |
Given the task definition and input, reply with output. 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). Person... | No | 5 | NIv2 | task1205_atomic_classification_isafter | zs_opt | [
-0.1121215745806694,
0.4014909267425537,
0.46373239159584045,
-0.03638995811343193,
-0.48923856019973755,
-0.6758189797401428,
0.9989036321640015,
0.5298473834991455,
-0.4701865017414093,
-0.381580114364624,
-0.47740915417671204,
-0.147470623254776,
-0.7302775382995605,
0.2434951364994049,... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: obscene and non-obscene. A comment is obscene if it is considered offensive to the public sense of decency, for example because it too obviously relates to sex or contains language regarded as ... | Obscene
****
| 4 | NIv2 | task326_jigsaw_classification_obscene | fs_opt | [
-0.6296314001083374,
0.5266628265380859,
0.6225305795669556,
0.15914827585220337,
0.06790266185998917,
-0.405052125453949,
0.09480178356170654,
0.5086208581924438,
0.07462744414806366,
0.7903809547424316,
0.15636944770812988,
0.009692708030343056,
0.22705194354057312,
-1.0651497840881348,
... |
TASK DEFINITION: Given a text, write a compressed version of it in a single sentence.
PROBLEM: You, our alumni and friends, have helped put this School at the forefront of journalism education in this country. As we become independent, please help us strengthen the distinction of your degree.
SOLUTION: You, our alumni... | it is time that we establish contact with alumni from all years, from all activities and areas. That is why departmental newsletters soon will be forthcoming, sharing on alumni as well as happenings in the Department.
| 8 | NIv2 | task1340_msr_text_compression_compression | fs_opt | [
-0.338973730802536,
0.05627012252807617,
-0.12006877362728119,
-0.554067075252533,
-0.02927030809223652,
-0.4408191740512848,
0.6501713991165161,
0.3271859884262085,
-0.09032787382602692,
0.41810357570648193,
-0.03519430756568909,
-0.0058855633251369,
-0.46211546659469604,
0.34338939189910... |
Definition: 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.
Input: 全てのインドネシア航空会社は現在、EUで飛行禁止の航空会社に選出されている。
Output: | Sa kasalukuyan ang lahat ng eroplano ng Indonesia ay nasa listahan ng ipinagbabawal na eroplano sa EU. | 2 | NIv2 | task1118_alt_ja_fil_translation | zs_opt | [
-0.42567598819732666,
0.024674074724316597,
0.06547626852989197,
-0.4548490643501282,
0.13507086038589478,
-0.3891846239566803,
-0.16401979327201843,
0.5393999814987183,
-0.09038013219833374,
0.24166780710220337,
-0.9062052369117737,
0.054320789873600006,
-0.5229118466377258,
0.59809553623... |
In this task, you're given an article and an answer. Your task is to generate the question for the answer based on the given article.
Article: But that did not really surprise me much. I knew very well that in addition to the great planets-- such as the Earth, Jupiter, Mars, Venus-- to which we have given names, there... | What are adults like in the eye of the narrator? | 0 | NIv2 | task311_race_question_generation | zs_opt | [
0.28803765773773193,
0.2259966880083084,
-0.579765260219574,
-0.45507144927978516,
0.3817644715309143,
-0.8240035772323608,
0.6144054532051086,
0.44764959812164307,
-0.30776822566986084,
0.027212046086788177,
-0.7820475101470947,
0.5301108956336975,
-0.7422177791595459,
0.2860040068626404,... |
In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural language interpretation. Define body (contains a collection of statements that defin... | eq { count { filter_eq { all_rows ; maximum seating capacity ; unknown } } ; 4 }
| 6 | NIv2 | task210_logic2text_structured_text_generation | fs_opt | [
0.4716952443122864,
-0.06478901207447052,
-0.4241798222064972,
0.4889419674873352,
0.30004602670669556,
-0.7349640130996704,
0.4636960029602051,
0.31396353244781494,
0.2504630982875824,
-0.07095584273338318,
-0.2364320307970047,
-0.06457187235355377,
0.04824531450867653,
0.4293287992477417... |
Q: This task is about translating a given English language sentence to French.
This is when arms organization were able to link up, also financially, with each other.
A: | C'est quand les organisations armées ont pu se joindre, financièrement aussi, les unes aux autres. | 7 | NIv2 | task1689_qed_amara_translation | zs_opt | [
0.006192212458699942,
1.1279027462005615,
0.24787116050720215,
-0.4460056722164154,
0.03133344650268555,
-0.7642441987991333,
0.6913251280784607,
0.31944572925567627,
1.1653207540512085,
0.2241625040769577,
-0.12776616215705872,
-0.316011905670166,
-0.5079035758972168,
-0.4568670690059662,... |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
One example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCD... | true | 6 | NIv2 | task905_hate_speech_offensive_classification | fs_opt | [
-1.1036262512207031,
0.37209832668304443,
0.7419983148574829,
0.20012082159519196,
-0.5632973909378052,
-1.1007869243621826,
0.22298403084278107,
0.5781353116035461,
0.23884566128253937,
0.3853559195995331,
0.007253322750329971,
-0.22434240579605103,
-1.0410645008087158,
-0.558102011680603... |
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 an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the alphabetical elements in the given list. Retu... | 24 | 0 | NIv2 | task504_count_all_alphabetical_elements_in_list | fs_opt | [
0.08027680963277817,
0.1630420684814453,
-0.21539819240570068,
-0.02285812236368656,
0.3936128318309784,
-0.8110742568969727,
0.1597970724105835,
0.2731090188026428,
-0.9421875476837158,
0.44419607520103455,
-0.49819695949554443,
-0.1226031705737114,
0.4769865572452545,
0.24623605608940125... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a statement about date and time, state whether the statement is true or false. The number of date/time operands in the statement ranges between 2 and 3. Let's say the values are denoted by t1, ... | True | 0 | NIv2 | task1507_boolean_temporal_reasoning | fs_opt | [
0.20265555381774902,
-0.08107869327068329,
-0.5250581502914429,
0.6298049688339233,
-0.02499360218644142,
-0.16810572147369385,
-0.1465209275484085,
0.8327119946479797,
-0.541223406791687,
-0.20365360379219055,
-0.6766034364700317,
-0.4130083918571472,
-0.35524001717567444,
-0.319197088479... |
In this task, you need to remove all words of a given length in the sentence. The number of letters in a word determine its length, for example, the length of the word "apple" is 5.
Example Input: Sentence: 'there is a surfer that is riding a wave in the ocean'. Remove all words of length '1' in the given sentence.
Ex... | a few people are something at this that is darting
| 3 | NIv2 | task377_remove_words_of_given_length | fs_opt | [
0.17415113747119904,
-0.10080312192440033,
-0.5932808518409729,
-0.8643937110900879,
0.2964465916156769,
-0.44300901889801025,
-0.07191796600818634,
0.6701798439025879,
-0.11466142535209656,
-0.41612476110458374,
-1.140075922012329,
-0.7414159774780273,
-0.5180404186248779,
-0.574222922325... |
Teacher:Given a sentence in the Japanese and Central Khmer language. Your task is check if the Khamer sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Teacher: Now, understand the problem? Solve this instance: Japanese: サファロフがアゼルバイジャンで刑期を満了すると期... | No | 6 | NIv2 | task1123_alt_ja_khm_answer_generation | zs_opt | [
-0.09509024024009705,
-0.5069934129714966,
0.3296096920967102,
-0.20410355925559998,
0.0760524794459343,
-0.3962213397026062,
0.6062709093093872,
-0.10395671427249908,
-0.38318219780921936,
-0.3268883228302002,
0.033026695251464844,
0.10668562352657318,
-0.9775848388671875,
0.1565670371055... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Hebrew.
One example is below.
Q: شما میتونید این پنگوئن ها رو ببینید اونها حرکت میکنند به اون سیمها نگاه میکنند ولی شبیه اون سیمها نیستند
A: אתם רואים שהפינגווין הזה ניגש ומסתכל על החוטים, הוא לא אוהב את החוט הזה.
Rationale: The Farsi... | מפני שאנחנו חיים על כוכב-לכת של מים. | 9 | NIv2 | task1269_ted_translation_fa_he | fs_opt | [
-1.0733997821807861,
0.6487442255020142,
-0.36147597432136536,
-0.08080347627401352,
-0.5135537981987,
-0.851852536201477,
0.4553820490837097,
-0.10385693609714508,
0.6889020204544067,
0.37102535367012024,
-0.6019352674484253,
0.3693668246269226,
-0.5938987731933594,
0.09784595668315887,
... |
Teacher:In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Romanian language.
Teacher: Now, understand the problem? Solve this instance: There is a child with a ball
Student: | Este un copil cu o minge. | 6 | NIv2 | task1436_ro_sts_parallel_language_translation_en_to_ro | zs_opt | [
0.1397790163755417,
0.47526949644088745,
-0.08524297922849655,
-0.47258633375167847,
-0.17745225131511688,
-0.289584755897522,
0.6136106252670288,
0.40019160509109497,
0.46464234590530396,
-0.2306702435016632,
0.2502124309539795,
0.6445863842964172,
-0.47705256938934326,
-0.343638360500335... |
Detailed Instructions: In this task, you will be given text in English. You need to translate the text into the Sinhali language.
See one example below:
Problem: When ventricles systole, blood flows to the pulmonary artery or the greater aorta.
Solution: කෝෂිකා ඉහිල්වන විට, ධමනියේ සිට කෝෂිකාව වෙත රුධිරය නරවත ගලයි.
Exp... | නූතන වායු ටයර්වල ඇති ද්රව්ය කෘතිම රබර්, ස්වාභාවික රබර්, රෙදි සහ කම්බි, කළු කාබන් සහ අනෙකුත් රසායනික සංයෝගවේ . | 4 | NIv2 | task604_flores_translation_entosn | fs_opt | [
-0.6227297782897949,
0.4070172905921936,
0.4535847306251526,
-0.2953043580055237,
-0.5811430215835571,
-0.9852147698402405,
0.15831358730793,
0.29708728194236755,
-0.14014965295791626,
0.9845710396766663,
0.48183175921440125,
0.3204546868801117,
-0.07813821732997894,
0.4029007852077484,
... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | No
| 1 | NIv2 | task1200_atomic_classification_xeffect | fs_opt | [
0.4622642993927002,
-0.00612248620018363,
0.222711980342865,
-0.03410850465297699,
-0.360232412815094,
-0.4327794015407562,
1.0493800640106201,
1.0020742416381836,
-0.5207043886184692,
-0.09049208462238312,
-0.583034873008728,
-0.4241417944431305,
-0.83343905210495,
-0.13675731420516968,
... |
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 : ``Foosball and Nocturnal Vigilantism'' is the ninth episode of the t... | What series is Foosball and Nocturnal Vigilantism from? | 6 | NIv2 | task1326_qa_zre_question_generation_from_answer | zs_opt | [
-0.09608620405197144,
0.8216058611869812,
0.3680213689804077,
-0.7892616391181946,
-0.46241745352745056,
-0.6420068144798279,
0.884427547454834,
0.12387390434741974,
-0.3383196294307709,
-0.9523478746414185,
-0.010541632771492004,
0.5933127403259277,
-1.1552654504776,
-0.5478430986404419,
... |
TASK DEFINITION: Given a sentence in the Filipino, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
PROBLEM: Pagkatapos ng dalawang beses na nagpalitang manguna ang dalawa, nakuha ni Kahne ang huling 7 ikot para makuha ang tseker... | 「我々は刈りたての草の気持ち良い香りをかぐことができました」
| 8 | NIv2 | task1119_alt_fil_ja_translation | fs_opt | [
-0.1081700399518013,
0.15028858184814453,
-0.2878445088863373,
-0.7371571063995361,
-0.18403360247612,
0.5660036206245422,
1.2087607383728027,
-0.22371810674667358,
-0.07659418135881424,
-0.6163688898086548,
-0.9392789602279663,
0.1054852306842804,
-0.8951883316040039,
0.9170045256614685,
... |
You will be given a definition of a task first, then some input of the task.
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 cor... | True | 1 | NIv2 | task384_socialiqa_question_classification | zs_opt | [
-0.4096972346305847,
0.8448328375816345,
0.1624118983745575,
-0.32206812500953674,
-0.5976197123527527,
-0.0453878790140152,
0.9897103309631348,
0.3369053900241852,
0.4103458523750305,
-0.32890212535858154,
-0.7094681859016418,
0.11592330038547516,
-0.4420691132545471,
0.25508880615234375,... |
Detailed Instructions: In this task, you will be shown a conversation and a question. You need to write an implausible answer to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. "W" and "M" in the conversations stand for "woman" and "man".
Q: M: How come David is always ... | Six. | 9 | NIv2 | task283_dream_incorrect_answer_generation | zs_opt | [
0.5230854749679565,
0.6403219699859619,
0.1498681604862213,
-1.4838147163391113,
-0.7809575200080872,
-0.49533113837242126,
0.9106559753417969,
0.033368129283189774,
0.5713430643081665,
-0.24600836634635925,
-0.7340181469917297,
-0.4745050072669983,
-0.9960405826568604,
-0.3551057875156402... |
Definition: 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: การเดินขบวนของ EDL เริ่มขึ้นเพื่อแสดงปฏิกิริยาต่อการที่แดเนียล สตริงเกอร์-ไพร้ซ์ และแคแวน บราวน์ ชายหนุ่มวัย 17 ปีถูกจู่โจมทำร้ายเม... | ＥDLの行進は、ハイドの２人の１７歳の若者、ダニエル・ストリンガープライスとカバン・ブラウンが攻撃されたことに応じて始まった。 | 2 | NIv2 | task1128_alt_th_ja_translation | zs_opt | [
-0.18146005272865295,
-0.2212478220462799,
-0.33340132236480713,
-0.6256973147392273,
-0.7575051784515381,
0.08722230046987534,
0.7730071544647217,
0.5147095918655396,
0.25208503007888794,
-0.006014608778059483,
-0.04079878330230713,
0.8692173957824707,
-0.6267274022102356,
0.7069411873817... |
You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
Ex Input:
Category: ANIMALS
Clue: These mollusks, not oysters, are the most common source for... | prices
| 1 | NIv2 | task308_jeopardy_answer_generation_all | fs_opt | [
-0.10190138220787048,
0.5592972040176392,
-0.7005524635314941,
0.08499135076999664,
-0.14937281608581543,
-0.4049679636955261,
-0.1462816596031189,
0.7732038497924805,
-0.199367493391037,
0.08666489273309708,
-0.04170994460582733,
-0.14475123584270477,
-0.8201048374176025,
-0.0286388713866... |
Detailed Instructions: In this task, you are given a sentence in the Swedish language and a corresponding English translation of the Swedish sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
Problem:Swedish: Det finns från och med den 9 februari ett s.k. inte... | No | 8 | NIv2 | task314_europarl_sv-en_classification | zs_opt | [
-0.06579150259494781,
0.46405893564224243,
0.21693241596221924,
0.21734629571437836,
0.18140141665935516,
-1.026208758354187,
0.5340511202812195,
0.6537414789199829,
-0.2520154118537903,
1.0416779518127441,
0.5518224239349365,
0.7832613587379456,
-0.6158446073532104,
0.17756621539592743,
... |
Given the task definition and input, reply with output. A piece of text from one of these 5 languages - French, English, Dutch, Somali, Tagalog is given. Generate the language to which the text belongs.
Text: 12 Ang iba nga sa mga gawa ni Joas, at ang lahat niyang ginawa, at ang kaniyang kapangyarihan na kaniyang ipin... | Tagalog | 5 | NIv2 | task447_opus_paracrawl_classification | zs_opt | [
-0.04971393197774887,
0.9643439650535583,
0.28151798248291016,
-0.19309107959270477,
-0.14139428734779358,
-0.7531914114952087,
0.10721142590045929,
0.30767911672592163,
0.45703089237213135,
0.26166605949401855,
0.3323625326156616,
0.9803298115730286,
-0.6188547611236572,
-0.30888864398002... |
Definition: In this task, you are given an input list A. You need to find all the elements of the list that are numbers in the same order as they appear in the list A.
Input: ['9591', '2683', 'K', 'O', 's', '5483', '5009', 'u', 'g', '2767', 'A', 'N', 'z', 'U', 'v', '9257', 'O', '3023', 'P', '6197', 'l', '4281']
Output: | 9591, 2683, 5483, 5009, 2767, 9257, 3023, 6197, 4281 | 2 | NIv2 | task497_extract_all_numbers_from_list_in_order | zs_opt | [
-0.08077408373355865,
0.334738552570343,
-0.9463270902633667,
-0.27724489569664,
-0.08089156448841095,
0.09580020606517792,
0.3242270350456238,
-0.537163496017456,
-0.30582889914512634,
0.7115218043327332,
-0.6431812644004822,
-0.026808902621269226,
0.27456173300743103,
0.05067026615142822... |
In this task, you are given a question and answer for that. The answer will fill in the blank or will complete the unfinished question. Your task is to provide an explanation based on the given question or fill-in-the-blank statement, and answer.
Ex Input:
Question: Sinking lower in the mesosphere, we encounter _____ ... | The warmer a climate is, the more types of vegetation it will have and the greater the rate of biological weathering.
| 1 | NIv2 | task223_quartz_explanation_generation | fs_opt | [
-0.24677444994449615,
0.15726010501384735,
-0.545413613319397,
0.6323769688606262,
-0.22506292164325714,
-0.6585063338279724,
0.2656630575656891,
-0.018269214779138565,
-0.073819600045681,
0.036328885704278946,
-0.4976251721382141,
-0.22850334644317627,
-0.611784040927887,
0.16279378533363... |
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 the command, otherwise generate label "no".
Here are the definitions of log... | no
| 7 | NIv2 | task211_logic2text_classification | fs_opt | [
0.2729034423828125,
-0.15797550976276398,
-0.3633815348148346,
0.47764116525650024,
0.45994365215301514,
-0.5146864056587219,
-0.05608396977186203,
0.39032262563705444,
-0.03853030875325203,
-0.07679325342178345,
-0.36339396238327026,
0.3259373903274536,
0.3750869333744049,
0.2784369289875... |
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.
Example input: Context: Tracy didn't go home that evening and resisted... | Yes | 3 | NIv2 | task579_socialiqa_classification | fs_opt | [
0.39180347323417664,
0.42267394065856934,
0.27400171756744385,
0.43154263496398926,
0.10470172017812729,
-0.6193330883979797,
0.0022793705575168133,
0.9970019459724426,
0.13605406880378723,
0.5868038535118103,
-0.01281875092536211,
0.12468311935663223,
-0.24857884645462036,
-0.251913905143... |
Part 1. Definition
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish.
Part 2. Example
全て肋骨の間から行うのです
Answer: Wszystko jest robione pomiędzy żebrami.
Explanation: The Japanese sentence is correctly translated into Polish, because the meaning is preserved.
Part 3. Exercise
それ... | powtórzę, niech każdy gatunek dostanie to, czego potrzebuje. Niech zaspokoją swoje potrzeby, związane z fizjologiczną odmiennością. | 7 | NIv2 | task1097_ted_translation_ja_pl | fs_opt | [
0.2454194575548172,
0.6074158549308777,
-0.2987685203552246,
-0.04412850737571716,
-0.23090779781341553,
-0.04945889115333557,
0.9248261451721191,
-1.0387322902679443,
-0.5219172835350037,
-0.6826018691062927,
-0.5355196595191956,
0.5779109001159668,
-0.9233981370925903,
0.6220310926437378... |
Given the task definition, example input & output, solve the new input case.
Given a sentence, generate a most likely context or previous statement. The previous statement should be relevant to the given statement.
Example: Then, the camel stops and the woman gets down from the camel.
Output: A woman rides a camel hold... | Someone, dressed, lies on his back on the bed. | 1 | NIv2 | task455_swag_context_generation | fs_opt | [
0.16813674569129944,
0.9626495242118835,
-0.4551107585430145,
0.23567479848861694,
-0.21234001219272614,
-0.19249923527240753,
-0.4476108253002167,
1.3408610820770264,
0.7921666502952576,
-0.06371533870697021,
-0.9290820360183716,
-0.2162381112575531,
0.011780515313148499,
-0.1374792158603... |
Q: In this task you are given a sentence. You must judge whether the main verb of the sentence is in present or past tense. Label the instances as "Present" or "Past" based on your judgment. If there is no verb in the given text, answer "Present".
It also begs the question that Jackson said that when he arrived, there ... | Present | 7 | NIv2 | task429_senteval_tense | zs_opt | [
-0.7251482009887695,
0.5159627199172974,
0.13911914825439453,
0.2863670289516449,
-0.3012661039829254,
-0.045914143323898315,
0.7279845476150513,
0.6756417751312256,
0.13075633347034454,
0.3523266315460205,
-0.023639172315597534,
0.4270956814289093,
-0.4912385940551758,
0.15200293064117432... |
Q: In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language.
Judecătorul Leroy Millette Jr. poate reduce pedeapsa cu închisoarea pe viață fără eliberare condiționată atunci când Muhammad va fi condamnat formal pe 12 februarie, dar judecăto... | Judge Leroy Millette Jr. can reduce the punishment to life in prison without parole when Muhammad is formally sentenced Feb. 12, but Virginia judges rarely take such action. | 7 | NIv2 | task1435_ro_sts_parallel_language_translation_ro_to_en | zs_opt | [
-1.3168308734893799,
1.0696964263916016,
0.6188994646072388,
-0.27397024631500244,
-0.15074336528778076,
-0.7255834341049194,
0.12763458490371704,
0.9188305139541626,
0.444446325302124,
-0.11830389499664307,
-0.26219528913497925,
0.1782112717628479,
-0.7200533747673035,
0.4285745620727539,... |
Detailed Instructions: In this task, you are given books product reviews in French language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Problem:J'aurais aimé l'aimer . Battage médiatique oblige, j'ai eu e... | NEG | 8 | NIv2 | task482_cls_french_books_classification | zs_opt | [
0.08052606880664825,
0.333621084690094,
0.11833885312080383,
-0.22069144248962402,
0.632712721824646,
-0.4833618700504303,
0.8460409641265869,
-0.0007704382296651602,
0.4333617687225342,
0.9478235840797424,
-0.8858382701873779,
-1.0634779930114746,
-0.10151167958974838,
-0.2465367913246154... |
In this task you will be given a string that only contains single digit numbers spelled out. The input string will not contain spaces between the different numbers. Your task is to return the number that the string spells out. The string will spell out each digit of the number for example '1726' will be 'oneseventwosix... | Output: 60779413
| 2 | NIv2 | task1443_string_to_number | fs_opt | [
-0.4965627193450928,
1.3900495767593384,
-0.48789843916893005,
-0.9870059490203857,
-0.21324996650218964,
-0.2783496081829071,
0.6730384826660156,
-0.020907532423734665,
-0.015942148864269257,
-0.5230985283851624,
-0.7872027158737183,
0.2702975571155548,
-0.8973709344863892,
-0.32763779163... |
This task is about translating a given English language sentence to Yoruba language.
One example is below.
Q: While you should not share legal advice to others based on course content, you will develop a high level of expertise upon completion of this course.
A: Bí ó ti jẹ́ wí pé o kò leè fún ẹnikẹ́ni nímọ̀ràn ajẹmófin... | Èyí nìgbà àkọ́kọ́ tí wọ́n máa ju Ẹlẹ́rìí Jèhófà tó jẹ́ obìnrin sí ẹ̀wọ̀n ní Rọ́ṣíà látìgbà tí Ilé Ẹjọ́ Gíga Jù Lọ ti sọ pé kí wọ́n fòfin de iṣẹ́ àwa Ẹlẹ́rìí Jèhófà. | 9 | NIv2 | task1685_menyo20k_translation | fs_opt | [
0.042139939963817596,
0.519335925579071,
0.38298168778419495,
-0.481678307056427,
-0.311359703540802,
-0.030085135251283646,
0.11741442233324051,
0.8983425498008728,
0.34416699409484863,
-0.9736761450767517,
0.1096457839012146,
0.3423376679420471,
-0.936416745185852,
0.5069776773452759,
... |
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 | 4 | NIv2 | task1199_atomic_classification_xattr | zs_opt | [
0.3399026691913605,
0.2448212206363678,
0.5541995763778687,
0.24106013774871826,
-0.5164915323257446,
-1.0367636680603027,
0.7599146962165833,
0.507943868637085,
-0.4820290207862854,
-0.32100456953048706,
-0.411088764667511,
-0.24842417240142822,
-0.8522850275039673,
0.15924671292304993,
... |
Q: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English.
وذهب للكلية وحصلت على شهادتي في علم الحيوان البحري ومن ثم إنتقلت الى هاواي في جامعة هاواي
A: | And I went off to college and got a degree in marine zoology, and then moved to Hawaii and entered graduate school at the University of Hawaii. | 7 | NIv2 | task1230_ted_translation_ar_en | zs_opt | [
-1.215718150138855,
-0.0002759024500846863,
-0.5102672576904297,
-1.135105013847351,
-0.7158187627792358,
-0.13236716389656067,
-0.2516030967235565,
-0.011991758830845356,
0.3764123320579529,
-0.3652802109718323,
0.27300477027893066,
-0.06790569424629211,
-0.8727453351020813,
0.84627389907... |
In this task, you're given a sentence and your task is to generate a simplified sentence that focuses on lexical paraphrasing from the original sentence given in the input.
Input: Consider Input: the baltic sea drains into the kattegat through the oresund and the danish straits.
Output: water from baltic sea flows in... | Output: the northern section of upper egypt , between el-ayait and sohag , is known as middle egypt.
| 2 | NIv2 | task934_turk_simplification | fs_opt | [
0.3135766088962555,
0.1815330982208252,
-1.0779976844787598,
-0.6285681128501892,
-0.10903488099575043,
-0.38900938630104065,
1.135430097579956,
-0.4552939534187317,
-0.14256462454795837,
-0.13371850550174713,
0.2488924115896225,
-0.008677460253238678,
-1.286476731300354,
0.029663398861885... |
You will be given a definition of a task first, then some input of the task.
A text is given in English. Translate it from the English language to the Bengali language. The translation must not omit or add information to the original sentence.
Similarly, we will also provide twenty-four scholarships to researchers, st... | পাশাপাশি, ভারতের ‘নর্থ-ইস্টার্ন স্পেস অ্যাপ্লিকেশন সেন্টার’-এও বিমস্টেক সদস্য দেশগুলির গবেষক, ছাত্র এবং পেশাদারদের জন্য আমরা ২৪টি ছাত্রবৃত্তি চালু করছি। | 1 | NIv2 | task996_pib_translation_english_bengali | zs_opt | [
-0.9270263910293579,
0.12766653299331665,
0.40369340777397156,
-0.14081904292106628,
0.2727002501487732,
-0.8091833591461182,
0.8611084222793579,
-0.4075315594673157,
0.3727988302707672,
0.028151724487543106,
-0.3130226731300354,
0.07135117799043655,
-0.7147597074508667,
0.3883480429649353... |
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.
Let me give you an example: Context : Isaac Nicola Romero (1916 in Havana, Cuba -- 1997) was a prominent Cuban guitarist and one of the founders... | Where can you find the show When Dinosaurs Roamed America? | 8 | NIv2 | task1326_qa_zre_question_generation_from_answer | fs_opt | [
0.5392221808433533,
-0.23572124540805817,
-0.6711632609367371,
-0.021411225199699402,
-0.4791051745414734,
0.41955167055130005,
0.30469995737075806,
0.7808281779289246,
0.0076439399272203445,
0.273220419883728,
0.7222954034805298,
0.959593653678894,
-1.4128363132476807,
-0.0285664647817611... |
Instructions: Given a post that is a real-life anecdote of a complex ethical situation and an associated claim about its type, verify if the claim is true or not. The claim asks if the posts are historical or hypothetical. The posts are "HISTORICAL" when the author has already done something and they are "HYPOTHETICAL"... | yes | 3 | NIv2 | task501_scruples_anecdotes_post_type_verification | zs_opt | [
-0.11756215989589691,
-0.0032414612360298634,
0.532767653465271,
-0.28632044792175293,
0.12270305305719376,
-0.7638853788375854,
0.5154173970222473,
1.034390926361084,
-1.0196508169174194,
-0.39892199635505676,
0.027695173397660255,
0.08724912256002426,
-0.11022120714187622,
-0.32691627740... |
Teacher: You are given a statement written in Marathi. 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 .
Teacher: Now, understand the problem? If you are still confused, see the following example:
Statement: उत... | लोणावळा | 2 | NIv2 | task950_wiki_cloze_mr_multiple_choice_question_answering | fs_opt | [
-0.030378149822354317,
0.6178298592567444,
-0.4047277569770813,
-0.5799468159675598,
-0.7316809892654419,
-0.3523321747779846,
0.12816131114959717,
1.2727044820785522,
-0.5696313977241516,
-0.009376728907227516,
-0.018187355250120163,
0.3816443681716919,
-0.27123093605041504,
-0.1897757053... |
instruction:
In this task, you are given a sentence from the Quran in English, and your task is to translate it into Persian.
question:
(The king) said (to the ladies): "What was your affair when ye did seek to seduce Joseph from his (true) self?" The ladies said: "Allah preserve us! no evil know we against him!" Said ... | ص، سوگند به قرآن که مشتمل بر ذکر [حقایق، معارف، مطالب اخلاقی و اجتماعی و احکام حلال و حرام] است.
| 9 | NIv2 | task656_quran_en_fa_translation | fs_opt | [
-0.23902413249015808,
0.7716764211654663,
-0.05827321484684944,
-0.1553792506456375,
-0.4636422395706177,
-0.9999926090240479,
0.8452343940734863,
0.23334075510501862,
0.4849557876586914,
-0.2603117823600769,
-0.9538497924804688,
0.9250966310501099,
-0.8829745650291443,
-0.0550516098737716... |
Definition: In this task, you are given a sentence in the Swedish language and a corresponding English translation of the Swedish sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
Input: Swedish: Som jag sade till parlamentet, den uppgift vi har framför oss ä... | No | 2 | NIv2 | task314_europarl_sv-en_classification | zs_opt | [
0.5171607732772827,
0.17714035511016846,
0.156947523355484,
0.5788867473602295,
0.14091134071350098,
-0.8208255767822266,
-0.11510933935642242,
0.7484581470489502,
0.2485736608505249,
0.6761335134506226,
0.19717982411384583,
0.7340599298477173,
-0.35792118310928345,
0.11607800424098969,
... |
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