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 |
|---|---|---|---|---|---|---|
Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
Input: יכולות להיות להם רמות גבוהות של יכולת כתיבה.
Output: | They're able to have high levels of writing ability. | 3 | NIv2 | task1234_ted_translation_he_en | zs_opt | [
-0.0970599502325058,
0.6700953245162964,
0.8566293120384216,
-0.1579330712556839,
0.13708466291427612,
-0.087640181183815,
0.3708329200744629,
-0.06995509564876556,
0.8409119844436646,
-1.0999701023101807,
-0.7506827116012573,
0.190486878156662,
-0.3785093128681183,
0.08182881027460098,
... |
A text is given in Oriya. Translate it from the Oriya language to the Tamil language. The translation must not omit or add information to the original sentence.
Q: ଙ୍କ ଭଳି ନବଯୁବକମାନଙ୍କ ଟିମ କାମରେ ଲାଗିଛି । ସି. କେ.
A: | இந்த வகையில் சுற்றுச்சூழல் பாதுகாக்கப்படுமா இல்லையா? | 4 | NIv2 | task1073_pib_translation_oriya_tamil | zs_opt | [
0.07645023614168167,
1.5004802942276,
-1.272641658782959,
0.494565486907959,
0.1565036177635193,
-0.9421202540397644,
-0.08999426662921906,
0.7967149019241333,
-0.19739040732383728,
0.24849870800971985,
0.38475072383880615,
-0.9501721262931824,
0.008897725492715836,
0.1404241919517517,
0... |
Instructions: In this task, a passage will be given and the goal is to generate a question about temporal relations based on that passage. A temporal relation describes the relation between two things with respect to time e.g., something happens/starts/terminates/... immediately/shortly/usually/... before/after/during/... | What event has already finished? | 3 | NIv2 | task389_torque_generate_temporal_question | zs_opt | [
-0.42702728509902954,
0.8931971788406372,
-0.09538404643535614,
-0.20393867790699005,
-0.3574821352958679,
0.49717384576797485,
0.7056910395622253,
0.3664536476135254,
0.10350123047828674,
0.5767999291419983,
-0.3120110332965851,
0.5252307057380676,
-0.1361786276102066,
0.48594143986701965... |
Detailed Instructions: In this task, you are given a dialogue between a user and an assistant, where users and assistants converse about geographic topics like geopolitical entities and locations. The task here is to find if the dialogue is by the user or assistant. Classify your answers into user and assistant.
Q: Wow... | user | 9 | NIv2 | task577_curiosity_dialogs_classification | zs_opt | [
-0.4359978437423706,
0.43926718831062317,
-0.1509009152650833,
-0.7374129295349121,
-0.5117741823196411,
0.10142827779054642,
0.9372086524963379,
-0.9249399900436401,
1.0705115795135498,
-0.5091010332107544,
-0.27374106645584106,
-0.5385842323303223,
-0.14676789939403534,
0.068439140915870... |
Teacher: In this task you are given a Chinese paragraph related to a criminal case, your job is to give an answer of what the criminal charge is. Take note a) if there are multiple charges only one needs to be outputted b) the criminal charge should be in Chinese.
Teacher: Now, understand the problem? If you are still... | 非法拘禁 | 2 | NIv2 | task1667_cail2018_answer_generation | fs_opt | [
0.7090536952018738,
-0.08363309502601624,
-0.559057891368866,
-0.30303293466567993,
-0.18030814826488495,
-0.27900588512420654,
0.47656530141830444,
1.0009918212890625,
-0.1670801043510437,
0.28696316480636597,
-0.3279154896736145,
0.469029039144516,
-0.00282923667691648,
-0.14750944077968... |
Given a sentence in English language, translate the sentence to Somali language keeping the meaning of the original sentence intact
Example input: English sentence: Lionel Messi is the greatest football player of all time
Example output: Lionel Messi waa ciyaaryahanka ugu weyn kubadda cagta abid
Example explanation: T... | 8 Oo haddii dhexdiinna ka kaco xaal garsoorid ah oo idinku adag oo ku saabsan dhiig, ama gar, ama dhaawac, oo xaalalkaas irdihiinna gudahooda lagaga murmo, kolkaas waa inaad kacdaan oo tagtaan meesha Rabbiga Ilaahiinna ahu dooranayo. | 3 | NIv2 | task446_opus_paracrawl_en_so_translation | fs_opt | [
-0.08155226707458496,
0.6264569759368896,
-0.23979878425598145,
-0.1285921335220337,
0.09820649027824402,
-1.2825101613998413,
-0.6305063962936401,
-0.06449732184410095,
0.3296302556991577,
-0.05597370117902756,
-0.08978454768657684,
1.3191463947296143,
-1.0371884107589722,
0.0880447924137... |
instruction:
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.
question:
Sentence: 'a man is eating a number of sandwiches next to a bottle of water'. How many words end with the letter 'a' in the sentence.
answer:
3
question:
Sentence... | 2
| 9 | NIv2 | task163_count_words_ending_with_letter | fs_opt | [
0.04234287515282631,
0.07530748099088669,
-0.04304363578557968,
-1.407123327255249,
0.011641616001725197,
-0.8343819379806519,
0.09863327443599701,
0.5667436122894287,
-0.041086677461862564,
-0.3677353858947754,
-0.2677680253982544,
-0.4397810101509094,
-0.4209885001182556,
-0.155742868781... |
You are given a sentence in English. Your job is to translate the English sentence into Japanese.
Ex Input:
They have everything in their hands.
Ex Output:
彼らがデータを握っているからです全てが彼らの手の内なのです
Ex Input:
So I'd like future telescopes to follow up on this planet to look for signs of life.
Ex Output:
ですから生命の徴を探すべく将来の望遠鏡でこの惑... | テクな楽しみ
| 1 | NIv2 | task1218_ted_translation_en_ja | fs_opt | [
-0.6736866235733032,
-0.008568288758397102,
-0.9947115182876587,
-0.4309924244880676,
0.1058182492852211,
-1.063769817352295,
0.14024081826210022,
0.3052288293838501,
0.4123161733150482,
-0.7115206718444824,
-0.15428930521011353,
0.6737687587738037,
0.22911278903484344,
0.09378448873758316... |
Instructions: In this task, you are given a sentence in English, and your task is to translate it into Persian.
Input: A video showing the protesters in Taksim Square singing "Do you hear the people sing?" taken from the musical Les Misérables about the Paris uprising of 1832, demonstrates the link between the proteste... | ویدیویی که معترضان را در میدان تکسیم در حال خواندن ترانه «آیا آواز مردم را میشنوید» نشان میدهد، ترانهای از فیلم بینوایان درباره قیام پاریس در ۱۸۳۲، ارتباطی بین معترضان و اروپا برقرار میکند: | 3 | NIv2 | task663_global_voices_en_fa_translation | zs_opt | [
-0.044307008385658264,
0.6319994330406189,
-0.6001583337783813,
0.5156645774841309,
-0.10162181407213211,
-0.42940929532051086,
0.35258036851882935,
0.46927040815353394,
-0.11351478099822998,
1.0363351106643677,
0.0162825770676136,
-0.4579894542694092,
0.1834634691476822,
-0.27034828066825... |
In this task, you need to answer the given multiple-choice question on the gain. Gain is the value by which to multiply the input. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Example Input: Problem: if each edge of cube increased by 30 % , the percentage increase in
Options: a ) 69 , b ) 72 , c ) 64 , d )... | d
| 3 | NIv2 | task1419_mathqa_gain | fs_opt | [
0.534400463104248,
-0.11590258777141571,
-0.2950814962387085,
-0.08019022643566132,
-0.11834834516048431,
-0.44055938720703125,
1.2125210762023926,
1.206989049911499,
-0.1983843743801117,
0.1551222801208496,
-0.4724140763282776,
-0.15909284353256226,
-0.6062665581703186,
-0.364799588918685... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
[EX Q]: Dlatego jego piękno nie może zostać uproszczone do formy, Dlatego jego piękno nie może zostać uproszczone do formy, którą często przychodzi nam podziwiać.
[EX A]: وعجيب كما هو ، لا يمكن اختزاله إلى نوع من التبسيط اصبح... | تم افتراض انه العناكب االفلكية المتموجة يجب ان يكون لها اصلب خيوط الجذب لانها يجب ان تعترض فرائس طائرة
| 6 | NIv2 | task1259_ted_translation_pl_ar | fs_opt | [
-0.7956100702285767,
0.7235981225967407,
0.4471783936023712,
-0.6995886564254761,
0.006707170978188515,
-0.3180783987045288,
0.8969617486000061,
-0.3153616786003113,
0.11738583445549011,
0.0035547949373722076,
-0.5322593450546265,
0.27483150362968445,
-0.7612431049346924,
0.427238702774047... |
Detailed Instructions: 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.
Problem:['5721', 'X', 'q', '7391', '8381', '3331', 'x', 'B', '1911', '571']
Solution: | 5721, 7391, 8381, 3331, 1911, 571 | 8 | NIv2 | task497_extract_all_numbers_from_list_in_order | zs_opt | [
0.4961683452129364,
0.6728652119636536,
-0.8070106506347656,
-0.8954458236694336,
-0.5287625789642334,
-0.7859131097793579,
0.5975072383880615,
-0.5559053421020508,
0.42547839879989624,
-0.15259957313537598,
-0.28405046463012695,
-0.7374897003173828,
-0.11386986821889877,
0.330425977706909... |
You will be given a sentence that describes a restaurant. You will also be given a few categories of information regarding that sentence. Your task is to fill each of the categories with the appropriate information from the sentenece.
Example: Sentence: xname is a high-priced 3 star restaurant which offers wines and ch... | Solution: familyFriendly[yes], rating[1 out of 5], cuisine[Japanese] | 5 | NIv2 | task1597_nyc_slot_filling | fs_opt | [
-0.6031229496002197,
0.27614134550094604,
-0.5273230075836182,
-0.46379172801971436,
-0.14233826100826263,
0.5711161494255066,
1.0111653804779053,
0.8773065209388733,
0.4047970175743103,
-0.5904639959335327,
0.6208286285400391,
0.2623302936553955,
-0.5009784698486328,
-0.04466040059924126,... |
In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the correct sub... | True
| 6 | NIv2 | task1187_politifact_classification | fs_opt | [
-0.5500935316085815,
0.4339196979999542,
-0.5389230847358704,
0.17404338717460632,
-0.736365795135498,
-0.9351961612701416,
0.711040735244751,
0.03632117062807083,
0.45698949694633484,
0.20862621068954468,
-0.6744563579559326,
0.09740277379751205,
0.012120778672397137,
0.46848684549331665,... |
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 Portugese.
クモが糸を使うのは完全に体外であることは非常に都合のいいことです
Output: | É muito conveniente que as aranhas usem a seda completamente fora do seu corpo. | 1 | NIv2 | task1099_ted_translation_ja_pt | zs_opt | [
-0.41726213693618774,
0.7899609804153442,
-0.6808666586875916,
-0.3761025071144104,
-0.3717796802520752,
-0.7592054605484009,
-0.5116610527038574,
0.6636614799499512,
0.1909136325120926,
0.7258127927780151,
-0.762306809425354,
0.20147544145584106,
-0.5317856073379517,
-0.13162890076637268,... |
This task is about translating a given English language sentence to French.
Q: But you can see the edge of the Sun, and the universe gets that way, and you can see that.
A: | Mais on peut voir les contours du Soleil, et l'univers marche de la même façon, et on peut observer ça. | 4 | NIv2 | task1689_qed_amara_translation | zs_opt | [
-0.2715674936771393,
1.963468313217163,
0.2751311659812927,
-0.9183769226074219,
-0.762068510055542,
-0.7726907730102539,
-0.3752754330635071,
0.6045036315917969,
0.8779932856559753,
0.33433640003204346,
-0.3417088985443115,
0.016176078468561172,
0.12325330823659897,
-0.08413012325763702,
... |
In this task, you will be presented with a passage, and you need to write an **implausible** answer to to fill in the place of "_". Your answer should be incorrect, but should not be out of context. Try using words that are related to the context of the passage, but are not the correct answer. Even though there exist ... | Big Sur | 0 | NIv2 | task303_record_incorrect_answer_generation | zs_opt | [
-0.1525457501411438,
0.4381212592124939,
-0.12427694350481033,
-0.7559196949005127,
0.12327910959720612,
-0.6582878232002258,
0.796986997127533,
1.2771217823028564,
-0.3967449963092804,
-0.15362071990966797,
-0.3227194547653198,
0.38526615500450134,
-0.678828775882721,
0.03194563463330269,... |
TASK DEFINITION: In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every even number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no even numbers in an i... | [-12, -720, 0, 0, 440, 0, -10, 0, -60480, -292032, 147744]
| 8 | NIv2 | task851_synthetic_multiply_evens | fs_opt | [
0.19530043005943298,
0.26561370491981506,
-1.121815800666809,
-0.023344896733760834,
-0.16388921439647675,
-0.04729290306568146,
1.1051136255264282,
0.7267738580703735,
-0.5759170055389404,
-0.41170603036880493,
-0.8925696015357971,
0.2510247230529785,
-0.47810280323028564,
-0.300960600376... |
Given the task definition, example input & output, solve the new input case.
In this task, you will be shown a conversation. You need to write a question with three choices for the conversation. Your question should be answerable based on the conversation and only have one correct answer. Note that you don't need to an... | What do you know from the conversation? (A) The tickets for the game are hard to get. (B) The woman doesn't want to go for the game. (C) There are no tickets available now. | 1 | NIv2 | task246_dream_question_generation | fs_opt | [
0.39754611253738403,
0.32821688055992126,
-0.37137162685394287,
0.6305414438247681,
0.5609198808670044,
-0.0033610714599490166,
0.6398423910140991,
0.6278669834136963,
-0.4224477708339691,
0.2377735674381256,
-0.3830839693546295,
-0.47171837091445923,
0.746504008769989,
-0.0067527974024415... |
Detailed Instructions: In this task you will be given a list of numbers and you should remove all duplicates in the list. If every number is repeated in the list an empty list should be returned. Your list should be numbers inside brackets, just like the given list.
Q: [5, 4, 5, 7, 4, 6, 0, 3, 4]
A: | [7, 6, 0, 3] | 9 | NIv2 | task097_conala_remove_duplicates | zs_opt | [
-0.043741773813962936,
0.552165150642395,
-0.1877499669790268,
-0.29080092906951904,
0.2021392583847046,
-0.5771254301071167,
0.9301905632019043,
0.2586238980293274,
-0.3583567142486572,
-0.2457464039325714,
-0.9595193266868591,
-0.05993837118148804,
-0.2715914845466614,
0.2328121066093444... |
This task is about translating a given English language sentence to French.
Q: We find that they work better when they're submerged and covered with leaves.
A: | Nous avons découvert qu'ils travaillaient mieux couverts de feuilles. | 4 | NIv2 | task1689_qed_amara_translation | zs_opt | [
-0.6219210028648376,
1.189025640487671,
-0.2482534497976303,
-0.4712175726890564,
0.18239840865135193,
-0.8194684982299805,
0.7822049856185913,
-0.2843990921974182,
0.1323065608739853,
0.27181267738342285,
-0.2984359860420227,
-0.23301491141319275,
-0.15896734595298767,
0.5096902251243591,... |
In this task, you have to generate the named entities (NER) given its ingredients of the recipe. Named entities are the names of the items without their quantity.
[EX Q]: 1/2 cup onion, diced, 1 tablespoon olive oil, 2 garlic cloves, minced, 16 ounces can pinto beans, not drained, 1 teaspoon salt, 1/4 teaspoon black p... | doritos, cream of mushroom soup, ground beef, cream of celery soup, Ro-tel Tomato, water, onion, grated cheese
| 6 | NIv2 | task570_recipe_nlg_ner_generation | fs_opt | [
0.7996214628219604,
0.08929412811994553,
-0.21838852763175964,
1.0027031898498535,
0.10393260419368744,
-0.1441749483346939,
1.496767282485962,
1.130690097808838,
-0.23496851325035095,
-0.10651671141386032,
0.047527506947517395,
0.06715771555900574,
-0.4813598394393921,
0.16211721301078796... |
Detailed Instructions: Translate from English to Hindi.
Problem:So he wasn't exactly in the greatest mood that night.
Solution: | तो वह बिल्कुल अच्छे मूड में नहीं था उस रात. | 8 | NIv2 | task1329_open_subtitles_en_hi_translation | zs_opt | [
0.3786433935165405,
0.7495152950286865,
0.06440553069114685,
-0.6384978890419006,
-0.5260108113288879,
-0.4375351071357727,
0.5996856093406677,
0.620377242565155,
-0.5092321634292603,
0.10743020474910736,
-0.6007132530212402,
0.5840849280357361,
-0.8510023951530457,
0.14552950859069824,
... |
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.
Context : ``The Adventure of the Blue Carbuncle'', one of the 56 short Sherlock Holmes stories written by British author Sir Arthur Conan Doyle,... | The gender of Alex Puccio is what?
| 0 | NIv2 | task1326_qa_zre_question_generation_from_answer | fs_opt | [
0.12836505472660065,
0.32458528876304626,
0.17902308702468872,
-0.35271155834198,
0.2589750587940216,
-0.4322092533111572,
-0.5418272018432617,
-0.049846045672893524,
0.7444717884063721,
-0.053481921553611755,
-0.22813613712787628,
0.7897381782531738,
-0.4190674126148224,
-0.09432327747344... |
Given the task definition and input, reply with output. Given a sentence in Russian, generate a new Russian 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 plau... | Трудно представить себе счет за ресторан в аэропорту. | 5 | NIv2 | task410_mickey_ru_sentence_perturbation_generation | zs_opt | [
-0.3070617616176605,
0.8489946722984314,
0.1647554636001587,
-0.4240300953388214,
-0.8840099573135376,
0.38274306058883667,
0.751945436000824,
1.3038959503173828,
0.2977920174598694,
-0.5221840143203735,
-1.5401428937911987,
0.1872650682926178,
-0.7326228618621826,
0.18171614408493042,
-... |
This task is about translating a given English language sentence to French.
One example: How shall we inscribe intent on all the objects we create, on all the circumstances we create, on all the places we change?
Solution is here: Comment devrions nous inscrire l'intention sur tous les objets que nous créons, sur toute... | Economie Basée sur les Ressources ] | 6 | NIv2 | task1689_qed_amara_translation | fs_opt | [
-0.13664227724075317,
1.0241916179656982,
0.5611316561698914,
-0.08466500043869019,
-0.04776295647025108,
-0.7461102604866028,
0.38312187790870667,
-0.042937636375427246,
0.4088679254055023,
-0.470220685005188,
-0.3011828064918518,
0.6786361932754517,
-0.24883604049682617,
-0.1886363923549... |
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 | 0 | NIv2 | task456_matres_intention_classification | zs_opt | [
-0.07078753411769867,
0.678443968296051,
0.2825111150741577,
0.23027396202087402,
-0.6149197816848755,
-0.7419143915176392,
0.34034717082977295,
0.48786798119544983,
0.23202399909496307,
0.1733994036912918,
0.14468219876289368,
-0.05054730176925659,
-0.09305422753095627,
0.2198234498500824... |
Here are two questions (Question1 and Question2). If these questions have the same meaning and same answer, answer "Yes", otherwise "No".
Question1: Are there any tips for growing out my beard without having patches?, Question2: How do I make my beard thicker and denser? | No | 0 | NIv2 | task1287_glue_qqp_paraphrasing | zs_opt | [
0.21294406056404114,
0.45344892144203186,
0.08130525052547455,
-0.2279302030801773,
-0.557728111743927,
-1.1726901531219482,
-0.06663830578327179,
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0.17115414142608643,
-1.1997709274291992,
-0.7639292478561401,
-1.3923063278198242,
-0.357295513153076... |
A text is given in English. Translate it from the English language to the Hindi language. The translation must not omit or add information to the original sentence.
Example: There are special coaching classes for Adivasi students
Example solution: आदिवासी छात्रों के लिए विशेष कोचिंग क्लासेस हैं
Example explanation: Cor... | Solution: अनुसूचित जाति के लिए आरक्षित | 5 | NIv2 | task1023_pib_translation_english_hindi | fs_opt | [
-0.17247477173805237,
0.18909534811973572,
0.006676636636257172,
0.3637316823005676,
-0.034512072801589966,
-0.9806200265884399,
0.3127070963382721,
0.08796121180057526,
0.29497694969177246,
-0.5653538703918457,
-0.07628705352544785,
0.31045258045196533,
-0.27515071630477905,
0.42897209525... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Polish.
Let me give you an example: لذا نعلم أنها ستكون ناجحة. ولكن علينا مراقبتها
The answer to this example can be: Poradzi sobie, ale trzeba na nią uważać.
Here is why: The Arabic sentence is correctly translated into Polish, beca... | Bo rozumiesz, co je powoduje. Czy to pomaga? | 8 | NIv2 | task1107_ted_translation_ar_pl | fs_opt | [
0.33861246705055237,
1.0945727825164795,
0.312494695186615,
-0.5421925187110901,
-0.3938101530075073,
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1.0429482460021973,
-0.46413469314575195,
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-0.8489204049110413,
0.19858694076538086,
-0.9124746322631836,
0.5362275242805481,
... |
Given a sentence in the Japanese and Lao language. Your task is check if the Lao sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: ライス米国務長官は、アメリカが「この行為を非難する」と述べ、政治的反対勢力への待遇は国際的に認められた原則の中で行うことをベラルーシに呼びかけた。
Lao: ເຖິງວ່າລາວຈະເຂົ້າຮ່ວມ ... | No | 0 | NIv2 | task1126_alt_ja_lo_answer_generation | zs_opt | [
-0.6965861320495605,
0.1196870356798172,
0.21099403500556946,
0.8790073394775391,
-0.41620197892189026,
-0.40355733036994934,
0.334896057844162,
0.7920732498168945,
-0.8023776412010193,
-0.25681740045547485,
-0.4114687144756317,
0.2639719843864441,
-0.11903458833694458,
0.6766074895858765,... |
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 years after the war in Afghanistan was the war in Iraq?
| 3 | NIv2 | task026_drop_question_generation | fs_opt | [
0.9697582721710205,
-0.12424060702323914,
-0.5546824336051941,
-0.22297310829162598,
-0.010246183723211288,
-0.22396613657474518,
0.4561498761177063,
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-0.04672089219093323,
-0.16653920710086823,
-0.22655455768108368,
0.5126175284385681,
-0.5798876285552979,
0.06728571653... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in English. Your job is to translate the English sentence into Italian.
Example: Why? Because that profit allows whatever solution we've created to be infinitely scalable.
Output: Perché? Perché quel profitto fa sì che... | Notammo che le colture indenni provenivano da posti con livelli di contaminazione opposti, quindi questo errore ci portò a pensare che forse avremmo potuto comparare i diversi potenziali degradativi dei batteri provenienti da siti con livelli di contaminazione opposti. | 1 | NIv2 | task1091_ted_translation_en_it | fs_opt | [
-0.6286724805831909,
0.6665005683898926,
0.012586443684995174,
0.19813193380832672,
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-0.15548373758792877,
0.9410338997840881,
-0.11915141344070435,
-0.11558511853218079,
-0.12042602896690369,
1.0151758193969727,
-0.5515673756599426,
-0.01193065568... |
Given the task definition, example input & output, solve the new input case.
This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words.
Example: Giraffes like Acacia leaves and hay, and they can consume ... | the same effect of xigris reduction in mortality has been observed in subjects defined by age , gender and the type of infection . | 1 | NIv2 | task177_para-nmt_paraphrasing | fs_opt | [
-0.7619277834892273,
0.5564227104187012,
0.07155252248048782,
0.22783580422401428,
0.036481015384197235,
-0.5383992791175842,
0.5205441117286682,
0.651343584060669,
0.07633613795042038,
-0.09084749221801758,
-0.45439088344573975,
-0.18005436658859253,
0.15848928689956665,
0.669889450073242... |
Detailed Instructions: 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 (o... | Yes | 9 | NIv2 | task456_matres_intention_classification | zs_opt | [
-0.029629593715071678,
0.9846532344818115,
0.43679314851760864,
0.3070605397224426,
-0.6007890701293945,
-0.13550205528736115,
0.29014164209365845,
0.7925320863723755,
-0.03747349604964256,
0.018440458923578262,
0.14345908164978027,
0.20876093208789825,
-0.3529035151004791,
0.5065147876739... |
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'... | PUNCT
| 0 | NIv2 | task583_udeps_eng_coarse_pos_tagging | fs_opt | [
0.7987754344940186,
0.2784036695957184,
0.03313133493065834,
0.0833185613155365,
-0.08774510025978088,
-0.6239516735076904,
0.7687848806381226,
0.8374437093734741,
-0.5665311813354492,
-0.2547488510608673,
-0.4817460775375366,
0.2618246078491211,
-0.4455125629901886,
0.5850856900215149,
... |
Definition: In this task, you are given a sentence from the Bible in English, and your task is to translate it into Persian.
Input: And the priest shall offer the one for a sin offering, and the other for a burnt offering; and the priest shall make an atonement for her before the LORD for the issue of her uncleanness.
... | و خداوند موسی را بعد از مردن دو پسرهارون، وقتی که نزد خداوند آمدند ومردند خطاب کرده، گفت: | 2 | NIv2 | task655_bible_en_fa_translation | zs_opt | [
-0.3297174572944641,
0.3627564311027527,
-0.268772155046463,
0.1300022304058075,
-0.38797590136528015,
-0.37939512729644775,
-0.1991966962814331,
0.8962450623512268,
0.7189635038375854,
0.5386449694633484,
0.2826446294784546,
0.4287610948085785,
-0.32896190881729126,
0.2689322829246521,
... |
Detailed Instructions: 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: employment activity
Words: empower, pay, fire, praise, burn
A: | burn | 9 | NIv2 | task141_odd-man-out_classification_category | zs_opt | [
0.011034534312784672,
1.132700800895691,
0.10342390090227127,
-0.06508953869342804,
-0.3214145302772522,
-0.5398492813110352,
0.21873055398464203,
0.5500431656837463,
0.40154170989990234,
0.0708119124174118,
-0.39529770612716675,
-0.9691734313964844,
-0.718506395816803,
-0.1060638278722763... |
instruction:
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 cor... | X
| 9 | NIv2 | task1168_brown_coarse_pos_tagging | fs_opt | [
0.30293941497802734,
0.2629156708717346,
-0.13795500993728638,
0.3016405701637268,
-0.1398455947637558,
-0.860171377658844,
0.5102448463439941,
0.6137841939926147,
-0.30352622270584106,
0.03714590519666672,
-0.8220030069351196,
0.14084529876708984,
-0.6127355098724365,
0.38616934418678284,... |
In this task, you are given a text of article and corresponding title of an article. Your task is to generate label "yes" if headline (title) is right for article, otherwise generate "no".
Let me give you an example: Article: australia 's current account deficit shrunk by a record #.## billion dollars -lrb- #.## billi... | no | 8 | NIv2 | task289_gigaword_summarization | fs_opt | [
-0.1824713945388794,
0.2958492338657379,
0.012712500058114529,
0.06166091933846474,
-0.3407607674598694,
-0.4402402341365814,
0.27753695845603943,
0.44913536310195923,
-0.05793999135494232,
0.22059142589569092,
-0.3604506552219391,
0.4207390546798706,
-0.6099922060966492,
0.241741716861724... |
Q: The provided text is in Croatian, and we ask you to translate the text to the English language. Please bear in mind the following guidelines while translating: 1) We are looking for the most naturally written and formal form of each sentence in the English language. 2) If you encounter any special characters like '#... | And the choir conductor there knew that I sang and invited me to come and join the choir. | 7 | NIv2 | task1367_opustedtalks_translation | zs_opt | [
-0.4944787323474884,
0.6602455377578735,
0.017202090471982956,
0.4793817698955536,
0.15148231387138367,
-0.9869170784950256,
0.5498368740081787,
-0.21871253848075867,
-0.039306528866291046,
0.11449448764324188,
0.09713450074195862,
0.20549190044403076,
-0.669763445854187,
0.004667328204959... |
In this task, you're given a dialogue between a customer and a flight booking agent with a gap in the conversation. Your job is to find the answer of the previous dialogue. Avoid using irrelevant extra information while creating the answer. The answer should be relevant to the question before the blank. If you fill the... | agent: Hello. | 0 | NIv2 | task574_air_dialogue_sentence_generation | zs_opt | [
-0.7592524886131287,
0.45252329111099243,
-0.08120565861463547,
-0.8293265104293823,
0.20670264959335327,
0.17761017382144928,
1.2301263809204102,
-0.1149531751871109,
-0.18627306818962097,
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0.21341148018836975,
-0.8378424048423767,
-0.8838109970092773,
0.6802378892898... |
Definition: We would like you to assess the QUALITY of each of the following argument (discussing Death Penalty) and determine if the argument is Valid or Invalid. A valid argument is clearly interpretable and either expresses an argument, or a premise or a conclusion that can be used in an argument for the topic of de... | Valid | 2 | NIv2 | task149_afs_argument_quality_death_penalty | zs_opt | [
0.32062461972236633,
0.5531619787216187,
0.6886916160583496,
0.13811318576335907,
-0.39656057953834534,
-1.95866060256958,
0.5035228729248047,
0.369454026222229,
0.39668935537338257,
0.5078669786453247,
-0.453657329082489,
-0.6245591044425964,
-0.7246385216712952,
0.3597789406776428,
0.4... |
Teacher:Given a text, write a compressed version of it in a single sentence.
Teacher: Now, understand the problem? Solve this instance: For more good walks, try the area around Ronda, and the hills above the Refugio de Juanar near Marbella (see page 41).
Student: | For more walks, try around Ronda, and the hills above the Refugio de Juanar(see page 41). | 6 | NIv2 | task1340_msr_text_compression_compression | zs_opt | [
0.09218688309192657,
0.6925896406173706,
-0.5909679532051086,
-0.7883884310722351,
-0.7817540168762207,
-0.5647070407867432,
0.19730640947818756,
0.7940133810043335,
-0.12045688927173615,
-0.5083088874816895,
-0.08873692154884338,
-0.20878809690475464,
-1.0859413146972656,
-0.2781251072883... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
Example: מונטריי היא אחת מהם.
Example solution: Monterey is one of those.
Example explanation: The Hebrew sentence is correctly translated into English. `Montery` is correctly translated into `מונטריי`.
Problem: בעולמנו הלא-... | Solution: In our very unequal world today, it's very striking how many people are left behind. | 5 | NIv2 | task1234_ted_translation_he_en | fs_opt | [
-0.0031941744964569807,
0.675051212310791,
0.4630773663520813,
-0.2794343829154968,
-0.3152950406074524,
-0.7927382588386536,
0.19843286275863647,
0.06197100877761841,
0.7954230308532715,
-0.37358346581459045,
-0.6485651135444641,
0.026052366942167282,
-0.7376413345336914,
0.10290346294641... |
Definition: 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.
Input: Sentence: 'Robert Craig Knievel was born in the mining city of Butte , Montana on October 17 , 1938.', Argument/Subject 1: 'knievel', ... | be bear in | 2 | NIv2 | task676_ollie_relationship_answer_generation | zs_opt | [
0.16103652119636536,
0.5453008413314819,
0.09882588684558868,
-0.11876378953456879,
-0.7197895050048828,
-1.5079386234283447,
0.25486016273498535,
0.6414740085601807,
-0.26836228370666504,
-0.5441573858261108,
-0.3923124074935913,
-0.02805604413151741,
-0.881158709526062,
-0.13869266211986... |
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 question. You need to detect which category better describes the question. A question belongs to the description category if it asks about description and abstract concepts. Entity qu... | Entity | 0 | NIv2 | task1289_trec_classification | fs_opt | [
0.3916425108909607,
0.3050520420074463,
-0.04927251487970352,
-0.1667643040418625,
-0.8562559485435486,
-0.20733128488063812,
1.261240005493164,
0.2794044017791748,
-0.7417250871658325,
-0.5815109014511108,
-0.9089586734771729,
0.12041691690683365,
-0.5164453983306885,
0.8842619061470032,
... |
This task is to translate the Telugu Language Input to English Language Output
Let me give you an example: నేను వీడియో చేస్తున్నాను
The answer to this example can be: I am making a video.
Here is why: Both the sentences says the same meaning in different languages, so it is a correct translation.
OK. solve this:
ప్రా... | The project was originally approved in 2017. | 8 | NIv2 | task1617_cc_alligned_translate_tel_eng | fs_opt | [
-0.42946895956993103,
0.47981083393096924,
0.5146577954292297,
0.64048832654953,
0.2096039056777954,
-0.4964083433151245,
-0.6957923173904419,
1.1151790618896484,
-0.3433648943901062,
0.02707863226532936,
0.4610690474510193,
-0.059105418622493744,
-0.12480620294809341,
-0.5617714524269104,... |
Given the task definition, example input & output, solve the new input case.
You are given two sentences(Sentence1 and Sentence2). Answer "Yes" if these sentences are a paraphrase of one another, otherwise answer "No".
Example: Sentence1: While it was being called mandatory , Dupont said authorities were not forcing pe... | Yes | 1 | NIv2 | task1288_glue_mrpc_paraphrasing | fs_opt | [
-0.7420129776000977,
0.8522241115570068,
0.21704041957855225,
0.07001220434904099,
-0.06463783979415894,
-0.24387866258621216,
0.21576011180877686,
0.5651001334190369,
-0.053507283329963684,
0.2595784068107605,
-0.578000545501709,
0.1451055258512497,
0.03189842402935028,
-0.212799921631813... |
Detailed Instructions: 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; note... | ac | 8 | NIv2 | task221_rocstories_two_choice_classification | zs_opt | [
-0.09757885336875916,
0.8877376914024353,
0.3753110468387604,
-0.2014980912208557,
-0.5611956715583801,
0.18832843005657196,
0.23987802863121033,
0.5927188396453857,
-0.07957182079553604,
0.2609863877296448,
-0.5599505305290222,
-0.3349834084510803,
-0.1750418096780777,
0.01928682997822761... |
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 statement spoken by a politician in natural language. Your task is to generate the subject of the discussion for the given statement. The subject generated is not necess... | census | 0 | NIv2 | task613_politifact_text_generation | fs_opt | [
0.21283578872680664,
0.10517029464244843,
0.08896934986114502,
0.011248966678977013,
-0.28160741925239563,
-0.2748536169528961,
0.6497278213500977,
0.2950308918952942,
-0.02869860827922821,
0.4345552325248718,
-0.798627495765686,
0.13259732723236084,
-0.2561585307121277,
0.2683619856834411... |
You are given a question-answer pair. Answer with their type. Pay attention that there may be more than one correct type, but you only have to choose one. In your responses, use of the following types:
(1) Humans: Any individual or group of humans, including fictional ones (e.g., a group or organization of persons , a... | Date.
| 5 | NIv2 | task046_miscellaneous_question_typing | fs_opt | [
0.5841073989868164,
-0.06131882965564728,
-0.18431583046913147,
0.48793548345565796,
-0.22541826963424683,
-1.24127197265625,
0.7456952333450317,
0.7906822562217712,
-0.536354660987854,
-0.0603632777929306,
-0.6476588249206543,
0.2727758288383484,
-0.5513769388198853,
0.07843238115310669,
... |
Teacher: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.
Teacher:... | The film begins with a suicide bombing attack in Germany at a peace conference where Indian Home Minister Sachin Khedekar is affected by an unknown virus. In RAW headquarters, menon Sarita Choudhury joins the investigation. RAW HQ is threatened by a threat who calls himself Doctor. In HQ, army officer Aazaan Khan Sachi... | 6 | NIv2 | task103_facts2story_long_text_generation | zs_opt | [
0.42248958349227905,
0.16374851763248444,
-0.3798927068710327,
-0.10810354351997375,
-0.6711615324020386,
0.4624484181404114,
0.541695237159729,
0.45042315125465393,
0.042924873530864716,
-0.5552358627319336,
-0.5107429027557373,
0.07364733517169952,
-0.8031437397003174,
0.2735922038555145... |
Detailed Instructions: In this task you will be given a string and you should find the longest substring that is a palindrome. A palindrome is a string that is the same backwards as it is forwards. If the shortest possible palindrome is length 1 you should return the first character.
Q: elnlllnlln
A: | lnlllnl | 9 | NIv2 | task850_synthetic_longest_palindrome | zs_opt | [
-0.4702940881252289,
1.2479968070983887,
0.009781650267541409,
-0.5696747899055481,
-0.7578909397125244,
-0.09148894250392914,
1.010469675064087,
-0.2840235233306885,
-0.24717235565185547,
-0.19987791776657104,
-0.41928818821907043,
0.5248546004295349,
-0.7572402358055115,
0.65461349487304... |
A text is given in Malayalam. Translate it from the Malayalam language to the Marathi language. The translation must not omit or add information to the original sentence.
[EX Q]: 'രാജ്യത്തിന്റെസ്ഥിതിവിവര ശാസ്ത്ര സംവിധാനത്തിന്റെ പിതാവ് എന്ന നിലയിലാണ് പ്രൊഫ.
[EX A]: महालानालोबिस यांच्या जयंतीदिनी 29 जूनला राष्ट्रीय स्तर... | आपल्या शक्तीला भारताच्या शक्तीमध्ये सहभागी करा.
| 6 | NIv2 | task1071_pib_translation_malayalam_marathi | fs_opt | [
-0.6861061453819275,
0.5661237835884094,
-0.3397974371910095,
-0.6765651702880859,
-0.8447672128677368,
-0.32871854305267334,
0.5110137462615967,
0.37920239567756653,
0.1482962965965271,
-0.37139880657196045,
-1.0724098682403564,
0.24961364269256592,
-0.7989950180053711,
0.2167443335056305... |
A text is given in English. Translate it from the English language to the Marathi language. The translation must not omit or add information to the original sentence.
One example: सुरुवातीला पोषण दिसून येणार नाही, मात्र हळू-हळू गती येईल
Solution is here: Initially Nutrition will not be seen, but slowly slowly
Explanati... | Present here in large numbers business leaders and CEOs from Japan and India, Senior officials of Keidanren, Jetro, NIKKI, CII, and NASCOM, Speaking with the business community here after coming to Japan always gives me great pleasure. | 6 | NIv2 | task1086_pib_translation_marathi_english | fs_opt | [
-0.0721258670091629,
0.3590801954269409,
0.22315098345279694,
-0.41681575775146484,
0.020505618304014206,
-0.1580299735069275,
0.09297634661197662,
0.927761435508728,
-0.3049025237560272,
0.06335756182670593,
-0.02011621557176113,
-0.6875059604644775,
-1.073351263999939,
0.1532116234302520... |
In this task, you're given passages that contain mentions of names of people, places, or things. Some of these mentions refer to the same person, place, or thing. Your job is to write questions that evaluate one's understanding of such references. Good questions are expected to link pronouns (she, her, him, his, their,... | What building was the first location of the Museum of Bad Art?? | 0 | NIv2 | task001_quoref_question_generation | zs_opt | [
0.3838909864425659,
0.4018581807613373,
-0.27093905210494995,
0.6995111107826233,
0.9624484181404114,
-0.1441946029663086,
0.012063603848218918,
0.031927499920129776,
-0.35441040992736816,
0.033324941992759705,
-0.19758078455924988,
0.5549353957176208,
-0.4733152985572815,
0.05457933992147... |
Q: In this task, you're given an article, a question which often contains a blank, four options (associated with "A", "B", "C", "D") and the answer to that question. Your task is to classify whether the given answer is correct or not by providing "Yes" or "No", based on the article.
Article: The historic center of Vien... | No | 7 | NIv2 | task310_race_classification | zs_opt | [
0.5914534330368042,
0.8590845465660095,
-0.1319722980260849,
0.8390583992004395,
0.10813101381063461,
-0.335396945476532,
0.4016600251197815,
1.2763484716415405,
0.3098143935203552,
0.1592991203069687,
0.3868776261806488,
0.7569601535797119,
-0.8724756240844727,
0.1846376657485962,
-0.03... |
Instructions: 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 ... | No | 3 | NIv2 | task1207_atomic_classification_atlocation | zs_opt | [
0.3815041780471802,
0.33601272106170654,
0.283854603767395,
-0.29236167669296265,
-0.5745265483856201,
-0.5508852005004883,
1.0903854370117188,
0.351112425327301,
-0.5539031624794006,
-0.6221836805343628,
-0.7201712727546692,
-0.5143114924430847,
-0.5849632620811462,
0.49371206760406494,
... |
Teacher:You will be given a text in Russian language which contain different emotion labels from the list - ['joy', ' sadness', 'surprise', 'fear', 'anger']. You need to output the incorrect emotion label, which is irrelevant to the input text. Your answer (i) should contain only one emotion label (ii) should be unambi... | surprise | 6 | NIv2 | task1663_cedr_ru_incorrect_classification | zs_opt | [
-0.2904261350631714,
0.1363048553466797,
0.32371681928634644,
-0.836592435836792,
-0.7880468368530273,
-0.3252362012863159,
0.3122585415840149,
1.3240681886672974,
-0.1568777710199356,
-0.14581060409545898,
-0.4724014401435852,
-0.17929643392562866,
-0.34688901901245117,
-0.417846560478210... |
Instructions: In this task, you will be presented with an English sentence, and you have to translate it into Arabic.
Input: Loyalty.
Output: | 268)} ماذا أعطيته؟ - .الولاء - | 3 | NIv2 | task651_opus100_en_ar_translation | zs_opt | [
-1.4900016784667969,
0.5125455856323242,
-0.07481683045625687,
-0.7027018070220947,
-0.4072619676589966,
-0.4390374422073364,
0.7075932025909424,
-0.1479148268699646,
0.5542049407958984,
-0.46540653705596924,
-0.25065505504608154,
0.04780731350183487,
-0.8100427389144897,
0.252232670783996... |
Definition: In this task, you are given a sentence and a gender. The sentence mentions two professions: one's gender is unknown and the other's gender can be identified using the gendered pronouns that refer to them in the text. You are expected to return the profession with the given gender.
Input: Sentence: The lawye... | Nurse | 2 | NIv2 | task343_winomt_classification_profession_anti | zs_opt | [
-1.6553833484649658,
0.5976102352142334,
-0.24491295218467712,
-0.8232626914978027,
0.12821298837661743,
-0.1826644241809845,
0.09785650670528412,
0.4522849917411804,
1.0175299644470215,
-0.14165528118610382,
-1.4369549751281738,
0.3147718012332916,
-0.8925408720970154,
-0.1320763826370239... |
You will be given a definition of a task first, then some input of the task.
A text is given in Malayalam. Translate it from the Malayalam language to the Urdu language. The translation must not omit or add information to the original sentence.
بنیادی ڈھانچہ سرمایہ فراہمی کے لئے پونجی وسائل بڑھانے کے اقدامات:
Output: | അടിസ്ഥാന സൗകര്യ വികസനത്തിനുള്ള ധനസഹായത്തിന് മൂലധനം കണ്ടെത്താനുള്ള നടപടികള് കൈക്കൊള്ളും | 1 | NIv2 | task1060_pib_translation_urdu_malayalam | zs_opt | [
0.11274571716785431,
1.0551071166992188,
-0.4318099617958069,
-0.5717933177947998,
-0.8967320919036865,
-0.5814412236213684,
1.3402657508850098,
0.29908496141433716,
0.09580753743648529,
-0.11389544606208801,
-0.922544538974762,
0.010402249172329903,
-0.4402018189430237,
-0.001526709645986... |
Q: Given a sentence in English language, translate the sentence to Somali language keeping the meaning of the original sentence intact
English sentence: 2:10 Then the Chaldeans answered before the king, and they said, “There is no man on earth who can accomplish your word, O king . For neither has any king, however gre... | 2:10 Markaasaa kuwii reer Kaldayiin jawaabay isagoo boqorkii hor, oo waxay yidhaahdeen, "Ma jiro nin dhulka oo eraygaaga ugu dhammayn kartaa, Boqorow. Waayo, mana uu leeyahay wax Boqor, Si kastaba ha ahaatee weyn oo xoog leh, weydiistay jawaab noocan ah ka wax arke kasta, iyo xiddigiye, iyo reer Kaldayiin. | 7 | NIv2 | task446_opus_paracrawl_en_so_translation | zs_opt | [
0.5382503867149353,
1.521965503692627,
-0.3463835120201111,
-1.2974247932434082,
-0.8453742265701294,
-0.7830042839050293,
0.3772968351840973,
0.1498132348060608,
0.23074328899383545,
-0.3303340673446655,
-0.5274972915649414,
0.7732749581336975,
-1.1907029151916504,
0.13703981041908264,
... |
In this task, you are given an input list A comprising of numbers and alphabets. You need to extract and sort the unique alphabets in the list. The alphabets in the input list will only be in lowercase. Return -1 if there is no alphabet in the input list.
Example: ['8129', 'a', '4245', 'y', 'm', 'a']
Example solution: ... | Solution: e, k, w | 5 | NIv2 | task636_extract_and_sort_unique_alphabets_in_a_list | fs_opt | [
0.08273249864578247,
0.13519585132598877,
0.14953145384788513,
-0.47788769006729126,
0.47659653425216675,
0.12350328266620636,
0.5905787944793701,
0.18117961287498474,
-0.08158844709396362,
0.21601563692092896,
-0.34153521060943604,
-0.4427134394645691,
0.04420255124568939,
-0.275492906570... |
Given the task definition and input, reply with output. Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individua... | I_TURN_RIGHT I_TURN_RIGHT I_TURN_LEFT I_TURN_LEFT I_JUMP I_TURN_LEFT I_TURN_LEFT I_JUMP I_TURN_LEFT I_TURN_LEFT I_JUMP | 5 | NIv2 | task126_scan_structured_text_generation_command_action_all | zs_opt | [
0.01839706301689148,
0.9201762676239014,
-0.3830970227718353,
0.33384251594543457,
0.1603650152683258,
-0.011824524030089378,
0.13972382247447968,
0.2305411994457245,
-0.25457751750946045,
-0.33989477157592773,
-0.7828900814056396,
-0.29055917263031006,
-0.5596168637275696,
-0.147588104009... |
Q: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese.
¿Qué es lo que tiene o hace un cerebro humano que otros cerebros no hacen?
A: | O que tem ou faz um cérebro humano que nenhum outro cérebro faz? | 7 | NIv2 | task1104_ted_translation_es_pt | zs_opt | [
-0.5535264015197754,
0.7448697686195374,
0.03965028375387192,
-0.7720934152603149,
-0.5330740809440613,
-0.4526994526386261,
-0.48609623312950134,
0.9236367344856262,
0.575510561466217,
-0.6831297278404236,
-0.45000025629997253,
-0.31113874912261963,
-0.857511579990387,
0.5634887218475342,... |
A text is given in Panjabi. Translate it from the Panjabi language to the Urdu language. The translation must not omit or add information to the original sentence.
--------
Question: دوستوں ، سکم ہی نہیں اروناچل پردیش سمیت ملک کی کئی ریاستوں میں ہوائی اڈے بنے ہیں ، جیسا کہ میں نے پہلے شروع میں بتایا کہ آج ہمارے 100 ایئ... | ਉਸ ਤੋਂ ਅਗਲੇ 8 ਸਾਲਾਂ ਵਿੱਚ ਭਾਰਤ ਦੇ 10 ਟ੍ਰਿਲੀਅਨ ਡਾਲਰ ਅਰਥਵਿਵਸਥਾ ਵਾਲਾ ਦੇਸ਼ ਬਣਨ ਦੀ ਖਾਹਿਸ਼
| 7 | NIv2 | task1052_pib_translation_urdu_punjabi | fs_opt | [
0.525428056716919,
0.6884971261024475,
0.04513368755578995,
-0.4487190842628479,
-0.2936948537826538,
-0.20520541071891785,
0.32453060150146484,
0.7792091369628906,
-0.544985830783844,
-0.35944420099258423,
-0.31709444522857666,
0.10745561122894287,
-0.6745151281356812,
-0.2562581300735473... |
Detailed Instructions: Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the buildin... | I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK | 4 | NIv2 | task128_scan_structured_text_generation_command_action_short | fs_opt | [
0.13192614912986755,
0.40302836894989014,
-0.3948765993118286,
-0.23286837339401245,
0.11338786780834198,
0.09494470059871674,
0.4986656606197357,
0.10299870371818542,
-0.23799899220466614,
-0.4180338382720947,
-0.7425101399421692,
-0.2680445909500122,
-0.8241370916366577,
-0.0186982620507... |
Teacher:In this task, you're expected to write answers to questions involving multiple references to the same entity. The answer to the question should be unambiguous and a phrase in the paragraph. Most questions can have only one correct answer.
Teacher: Now, understand the problem? Solve this instance: Passage: Eakin... | Swimming. | 6 | NIv2 | task002_quoref_answer_generation | zs_opt | [
0.35608023405075073,
-0.017540343105793,
-1.045222520828247,
0.24240615963935852,
0.8561445474624634,
-0.862274706363678,
0.36654770374298096,
0.5003063678741455,
0.12299764901399612,
0.2059992104768753,
-0.17872463166713715,
1.0232486724853516,
-0.36310049891471863,
0.07940559089183807,
... |
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
Problem:והן הופכות לסלע הבסיס של כל מערכת אקולוגית של הנמל.
Solution: | y conforman el lecho rocoso de cualquier ecosistema de bahía. | 8 | NIv2 | task1236_ted_translation_he_es | zs_opt | [
-0.2927953004837036,
0.7701894044876099,
-0.3657158613204956,
-0.24128542840480804,
-0.23870593309402466,
-0.6555157899856567,
-0.11856997758150101,
0.45638906955718994,
0.3802172839641571,
-0.5508620738983154,
0.08390067517757416,
-0.5425496101379395,
-0.5068589448928833,
-0.1477180272340... |
You are given a movie review in the French language. You need to predict its sentiment. Output a 0 for negative sentiment and a 1 for positive sentiment.
Q: Michelle Williams, en bonne habituée des rôles de femmes à la vie sentimentale chaotique (Blue Valentine, Maryline, et bien évidemment Dawson !) continue sur sa la... | 1 | 4 | NIv2 | task1591_allocine_classification | zs_opt | [
-0.05320507287979126,
0.23868674039840698,
-0.6852467060089111,
-0.17114195227622986,
0.9466094970703125,
0.07900644838809967,
1.2578201293945312,
1.2977977991104126,
0.20637863874435425,
0.06258941441774368,
-0.025045642629265785,
0.48512792587280273,
-0.02637970820069313,
0.1020212098956... |
Detailed Instructions: In this task, you're given five sentences, numbered 1 through 5. Your job is to generate a title for the story that makes complete sense. The title must be short, with less than three words, use simple language, and include the main topic of the story.
Q: Sentence 1: My first taste of champagne w... | Champagne | 9 | NIv2 | task219_rocstories_title_answer_generation | zs_opt | [
-0.41251254081726074,
0.9299519062042236,
0.3385155200958252,
-0.43779298663139343,
0.1325012445449829,
-0.2908874750137329,
0.3507987856864929,
0.565274715423584,
0.2047707736492157,
0.1818166971206665,
-0.3499141335487366,
-0.7772553563117981,
-0.836307168006897,
0.253600537776947,
-0.... |
A text is given in Bengali. Translate it from the Bengali language to the Telugu language. The translation must not omit or add information to the original sentence.
Let me give you an example: ఇలా 130 కోట్ల మంది ప్రజానీకం మాట కలిపి వ్యక్తం చేస్తున్న అభిప్రాయాలు, వారి భావోద్వేగాలు మాకు కొత్త బలాన్నిస్తున్నాయి
The... | এগুলি হ’ল, থানে – ভিওয়ান্দি – কল্যাণ মেট্রো এবং দহিসর – মীরা – ভায়ান্দের মেট্রো। | 8 | NIv2 | task1032_pib_translation_telugu_bengali | fs_opt | [
-0.34011712670326233,
0.3014589250087738,
0.01607576012611389,
0.2683924436569214,
0.46476680040359497,
-0.638242781162262,
-0.15443181991577148,
0.12013505399227142,
0.09107188880443573,
0.27572524547576904,
-0.2590327262878418,
-0.07003505527973175,
0.2228245735168457,
0.1562334895133972... |
In this task, you're given a dialogue between a customer and a flight booking agent with a gap in the conversation. Your job is to find the answer of the previous dialogue. Avoid using irrelevant extra information while creating the answer. The answer should be relevant to the question before the blank. If you fill the... | Solution: customer: My journey dates are on 08/25 to 08/27. | 5 | NIv2 | task574_air_dialogue_sentence_generation | fs_opt | [
0.023413561284542084,
0.06846357882022858,
-0.4912644028663635,
-0.5573595762252808,
0.40331023931503296,
-0.14735674858093262,
1.5253626108169556,
-0.023569274693727493,
-0.3854357600212097,
-0.09821004420518875,
0.15197429060935974,
-0.4153529703617096,
-0.7784065008163452,
0.54793131351... |
Teacher: In this task, you are given a sentence or phrase in English. You must translate it to Xhosa in a way that is equivalent in terms of meaning and grammatically correct.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Rope and its Usage
Solution: Intambo nomsebenzi ewen... | Isixokelelwano sokukhupha umoya sisoloko sithatha inxenye yomoya osuka kwi-atmosfera. | 2 | NIv2 | task872_opus_xhosanavy_translation_eng_xhosa | fs_opt | [
0.42256730794906616,
0.778609037399292,
0.09928971529006958,
-0.02248557284474373,
-0.2718793451786041,
-1.363133192062378,
0.7650169134140015,
0.7765001654624939,
-0.622789740562439,
0.2233915627002716,
-0.22401908040046692,
-0.7047113180160522,
-0.7603155374526978,
-0.3790869116783142,
... |
Detailed Instructions: 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.
Problem:['D', 'd', 'z', '103', '8917']
Solution: | 9020 | 8 | NIv2 | task499_extract_and_add_all_numbers_from_list | zs_opt | [
0.261806458234787,
0.6727662086486816,
-1.0144553184509277,
-1.339862585067749,
-0.584709107875824,
0.262869656085968,
1.4143215417861938,
-0.8942384123802185,
-0.4155235290527344,
0.10729225724935532,
-0.7688934803009033,
-0.032883599400520325,
0.4783092439174652,
-0.13788247108459473,
... |
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".
Example input: اگر Apple ID و ایمیل خود را فراموش کرده ام چه کاری می توانم انجام دهم؟ <sep> Apple ID و رمز عبو... | paraphrase | 3 | NIv2 | task465_parsinlu_qqp_classification | fs_opt | [
-0.8811823129653931,
0.7209584712982178,
-0.2825518846511841,
-0.7962214946746826,
-0.8380526304244995,
-0.25317835807800293,
1.800750732421875,
0.7213093042373657,
0.4738658666610718,
-0.23851650953292847,
-0.4140748977661133,
-0.6396145820617676,
-1.00173020362854,
0.2513526976108551,
... |
In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by 4, if the element is odd you should multiply by 4 then add 2. The output should be a list of numbers that is the result of applying that logic to the input list. You should not round any decimal... | [110, -10.5]
****
| 4 | NIv2 | task368_synthetic_even_or_odd_calculation | fs_opt | [
-0.29436057806015015,
0.7198081016540527,
-0.19332486391067505,
-0.5945092439651489,
0.1695319563150406,
0.09095367789268494,
1.4763567447662354,
0.19278046488761902,
-0.4608628451824188,
0.37608659267425537,
-0.6888875961303711,
-0.27514341473579407,
-0.38414818048477173,
-0.1680949330329... |
Given the task definition and input, reply with output. You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Żyję u innego wroga, w Ameryce.
| وعشت في امريكا -عدوهم الاخر-. | 5 | NIv2 | task1259_ted_translation_pl_ar | zs_opt | [
-0.7879267930984497,
1.085409164428711,
0.005363960284739733,
-0.37551626563072205,
-0.34946638345718384,
0.24243921041488647,
0.6854897737503052,
-0.6998976469039917,
0.5545433759689331,
-0.33205634355545044,
-0.12950541079044342,
0.40768006443977356,
-1.1251258850097656,
-0.0231245718896... |
In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to arrange the sentences in order to make a story that makes complete sense and is apt for the title. Indicate your answer using the number of the sentences in order, such as '34152'.
Ex Input:
Title: Rude S... | 32514
| 1 | NIv2 | task217_rocstories_ordering_answer_generation | fs_opt | [
0.25086453557014465,
0.5517680644989014,
-0.40253007411956787,
-0.03335816413164139,
0.4365244507789612,
-0.2663894295692444,
0.17850711941719055,
0.8856655359268188,
0.3272497057914734,
0.2697506844997406,
-0.33676400780677795,
0.10134422034025192,
-0.7710424661636353,
-0.0446889922022819... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese.
Example: Mio padre è medico. Ed è stato un grande vantaggio per noi. Si è occupato di lei in modo fantastico.
Example solution: 父が医師だったので父に担当してもらえるという大きな利点がありました父は母に見事な治療を施しました
Example explanation: The Italian sentence is ... | Solution: そのようなときわたしはすべてとつながります土や空気や音観客のエネルギー | 5 | NIv2 | task1248_ted_translation_it_ja | fs_opt | [
0.21732783317565918,
0.30453014373779297,
-0.6626620292663574,
-0.39928436279296875,
-0.14348626136779785,
-0.6834044456481934,
0.8696726560592651,
0.8292638063430786,
0.2884666621685028,
-0.197575181722641,
-0.755545973777771,
0.5019912719726562,
-0.5076231956481934,
-0.02421407401561737,... |
The input is a sentence with a missed word and an emotion. Your task is to fill in the blank with a word that matches the emotion and rewrite the completed sentence. The emotion is one of ['fear', 'joy', 'anger', 'sadness'].
Let me give you an example: SENTENCE: Alphonso feels <blank>.
EMOTION: sadness
The answer to ... | Courtney feels excited. | 8 | NIv2 | task1339_peixian_equity_evaluation_corpus_text_completion | fs_opt | [
0.08492449671030045,
0.3379780054092407,
0.3103886842727661,
-0.6984657049179077,
-0.18766823410987854,
-0.9745416641235352,
1.4145796298980713,
0.6389143466949463,
0.07384523004293442,
-0.3210974633693695,
0.08994562923908234,
-0.18681959807872772,
-0.35893043875694275,
0.4488996267318725... |
In this task, you're given a passage, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both passage and link information to create the q... | What city and state did Grouplove travel to in order to perform at the Bonnaroo Music and Arts Festival? | 9 | NIv2 | task236_iirc_question_from_passage_answer_generation | fs_opt | [
0.36333274841308594,
0.45708054304122925,
-0.8534102439880371,
0.29314500093460083,
0.3590758740901947,
-0.6614031791687012,
0.502453088760376,
0.9167859554290771,
-0.12227208912372589,
0.4521240293979645,
-0.06485015153884888,
-0.11232521384954453,
-0.3433452844619751,
-0.0581211447715759... |
Instructions: You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to choose the correct answer to the question based on the passage. Answer of the question cannot be found directly from the passage, it is indirectly indicated in the passage. Do not answe... | The swim teacher | 3 | NIv2 | task165_mcscript_question_answering_commonsense | zs_opt | [
0.6292663812637329,
-0.25317203998565674,
-0.8463190793991089,
-0.3669993579387665,
-0.038352012634277344,
-0.8710118532180786,
0.6780085563659668,
0.7216235399246216,
-0.5892682075500488,
-0.26684102416038513,
0.09127230942249298,
-0.6432244777679443,
-0.8058295845985413,
-0.4384732246398... |
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to... | Yes | 3 | NIv2 | task1198_atomic_classification_owant | fs_opt | [
0.43748950958251953,
0.08706074953079224,
0.5054290294647217,
0.12285086512565613,
-0.08956153690814972,
-1.0905234813690186,
0.6975500583648682,
0.4560586214065552,
-1.2620278596878052,
-0.21746116876602173,
-0.5318905115127563,
-0.35571813583374023,
-0.4492104649543762,
0.202391356229782... |
instruction:
You are given a dialog between 2 or more individuals. The dialog will include information as to the relationship between 2 of the participants. At the end, you will be asked to provide an answer as to the relationship of those 2 participants. In this scenario, '0' will represent a spousal relationship, ... | 0
| 9 | NIv2 | task908_dialogre_identify_familial_relationships | fs_opt | [
0.2858773469924927,
0.6359438896179199,
-0.5097103714942932,
0.13129489123821259,
0.8272335529327393,
-0.5181003212928772,
0.9349765777587891,
0.8098920583724976,
-0.108466237783432,
-0.00914920587092638,
-0.571134090423584,
0.8471359610557556,
-0.07953149080276489,
0.27094024419784546,
... |
Detailed Instructions: 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 ev... | No | 8 | NIv2 | task1206_atomic_classification_isbefore | zs_opt | [
0.21236121654510498,
0.4077194929122925,
0.3898566961288452,
-0.007655472494661808,
-0.6369332075119019,
-0.8482069969177246,
0.8598202466964722,
0.5631346702575684,
-0.6269702911376953,
-0.36715590953826904,
-0.36092230677604675,
-0.6331326961517334,
-0.7962126731872559,
-0.07573900371789... |
You're given a fill-in-the-blank question where the answer is PersonX. You need to minimally change the given question so that the answer flips to PersonY. This task typically involves replacing one word i.e., the 'trigger word' with its antonym (e.g., changing from "sympathetic" to "stern"). You should not change any ... | The court ordered PersonX to perform an autopsy on PersonY, since _ was the coroner of the murder. | 8 | NIv2 | task035_winogrande_question_modification_person | fs_opt | [
1.0372581481933594,
0.10433654487133026,
-0.18504825234413147,
0.0394631065428257,
0.5204362869262695,
-1.0473170280456543,
1.3343815803527832,
0.637005090713501,
-0.5139804482460022,
-0.3702735900878906,
-0.3467613458633423,
0.2167789340019226,
-0.6735644936561584,
0.5996490120887756,
0... |
In this task, you are given a sentence and a verb from the sentence. Your task is to generate a set of wh-questions starting with who, what, when, where, why, how, how much. The generated questions must contain the verb and the answers to these questions are phrases in the input sentence. The answer to the questions is... | what collapsed?
| 1 | NIv2 | task1519_qa_srl_question_generation | fs_opt | [
0.37012991309165955,
0.5407958626747131,
0.012774315662682056,
0.18945574760437012,
0.5258208513259888,
-0.5643244981765747,
0.3560788929462433,
0.5083310604095459,
0.025038205087184906,
-0.053228527307510376,
-0.90297532081604,
0.0028279502876102924,
-0.42009490728378296,
-0.2061396688222... |
In this task, you're expected to write answers to questions involving multiple references to the same entity. The answer to the question should be unambiguous and a phrase in the paragraph. Most questions can have only one correct answer.
Q: Passage: In Springberry, Alabama, 1946, young Dewey Cox accidentally cuts his ... | L'Chaim. | 4 | NIv2 | task002_quoref_answer_generation | zs_opt | [
1.1806321144104004,
0.6677509546279907,
-0.8803278207778931,
-0.27997398376464844,
-0.09824594855308533,
0.27938953042030334,
0.9069333672523499,
0.5674928426742554,
0.14769648015499115,
0.4514964818954468,
-0.4495881199836731,
0.2036539912223816,
-0.5264999270439148,
-0.3709622621536255,
... |
You are given a movie review in the French language. You need to predict its sentiment. Output a 0 for negative sentiment and a 1 for positive sentiment.
J'ai vraiment bien aimé ce film qui mérite amplement 3 étoiles!! Je n'en mets pas 4 car le début est trop lent et on tombe très vite dans la démesure et l'ennui mais... | 0
| 0 | NIv2 | task1591_allocine_classification | fs_opt | [
0.0787079855799675,
0.23185555636882782,
-1.1069796085357666,
0.18254917860031128,
0.19575679302215576,
-0.335257887840271,
1.5847194194793701,
0.7322737574577332,
0.0653189942240715,
0.11926382780075073,
0.117578886449337,
0.4566539525985718,
-0.5546504259109497,
-0.2463735044002533,
-0... |
Detailed Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English.
Q: A mudança de comportamento começa com a evolução de crenças.
A: | Changing behavior begins with evolving beliefs. | 9 | NIv2 | task1274_ted_translation_pt_en | zs_opt | [
-0.43282073736190796,
0.4993557929992676,
0.2456815242767334,
-0.4837552011013031,
-1.0946658849716187,
-0.6603982448577881,
0.06492261588573456,
1.2138830423355103,
0.5985193252563477,
-0.7414474487304688,
0.1277935802936554,
0.03789246827363968,
-0.9220787882804871,
0.7315093278884888,
... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
この本はiPadだけでなく
و این کتاب تمام عیار ، فقط روی آی پد اجرا نمی شود
気持ちがすごく明るくなるでしょう ？
این حس خوبی می دهد ، درسته ؟
私の初代ウォークマンから一例をご紹介します
| میتونم مثالی بزنم. اولین والکمن ام رو خریده بودم.
| 0 | NIv2 | task1098_ted_translation_ja_fa | fs_opt | [
-0.039249487221241,
0.40684062242507935,
-0.48963862657546997,
-0.8610605001449585,
-0.38968461751937866,
-0.23256924748420715,
1.3725738525390625,
-0.21182234585285187,
0.8354126214981079,
-0.3772057592868805,
-0.5263274908065796,
-0.18738222122192383,
-0.518959105014801,
-0.0647548884153... |
Q: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Portugese.
そして最後に除染をできるだけ早くしてください
A: | E finalmente, vocês querem ser descontaminados o mais rápido possível. | 7 | NIv2 | task1099_ted_translation_ja_pt | zs_opt | [
-0.2543412446975708,
1.2407948970794678,
0.29442304372787476,
-0.5566219091415405,
-0.8126555681228638,
-0.42431843280792236,
-0.1961422711610794,
0.4006439745426178,
0.7037813663482666,
-0.18534094095230103,
-0.21228668093681335,
0.6233400106430054,
0.17316555976867676,
0.3576255440711975... |
Detailed Instructions: You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
See one example below:
Problem: what kind of film is Best Seller?
Solution: crime
Explanation: The answer is correct ... | Robert E. Sherwood, Robert Nathan, Leonardo Bercovici | 4 | NIv2 | task615_moviesqa_answer_generation | fs_opt | [
-0.7104666233062744,
-0.09281186759471893,
-0.8979681730270386,
0.6819459199905396,
-0.2512070834636688,
0.371277391910553,
0.4162084758281708,
-0.007116626016795635,
0.5915460586547852,
-0.04750383645296097,
-0.4613403379917145,
0.13456183671951294,
-0.5226192474365234,
0.1168613284826278... |
Given the task definition and input, reply with output. The provided text is in English, and we ask you to translate the text to the Croatian language. Please bear in mind the following guidelines while translating: 1) We want a natural translation, a formal form. 2) Use the symbols like '#@%$-+_=^&!*' as-is. *Include*... | Onda me ona odvela da pogledamo film koji nisam želio gledati. | 5 | NIv2 | task1365_opustedtalks_translation | zs_opt | [
-0.23476237058639526,
1.0297988653182983,
-0.07898282259702682,
0.334495484828949,
-0.10390900075435638,
-0.5509226322174072,
0.2357829064130783,
-0.22823476791381836,
0.01177441980689764,
-0.43939000368118286,
0.11850067228078842,
0.004161994904279709,
-0.579943835735321,
-0.0309227835386... |
Detailed Instructions: Given a scientific question and its correct answer, generate supporting facts for the answer. This supporting fact can be an explanation for the answer to the given question.
Q: Question: What are jellyfish and other cnidarian's stingers called? Answer: nematocysts
A: | Cnidarians such as jellyfish have radial symmetry. Flatworms and roundworms, which you will read about next, have bilateral symmetry. | 9 | NIv2 | task593_sciq_explanation_generation | zs_opt | [
0.29685845971107483,
0.74964439868927,
-0.7898460626602173,
-0.05252859741449356,
0.25483691692352295,
-0.7102136611938477,
-0.1389133483171463,
0.0995706170797348,
-0.06890301406383514,
-0.1871114820241928,
0.3478858470916748,
-0.31582504510879517,
-1.0013179779052734,
0.00889782793819904... |
Detailed Instructions: You are given a statement written in Assamese. 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 .
Problem:Statement: ছি আন বহুতো বিদেশ ভ্ৰমণত গ'ল। কোনো কোনোৰ মতে চীনৰ নেতৃত্ব বহন কৰাৰ পূৰ্... | জাপান | 8 | NIv2 | task944_wiki_cloze_as_multiple_choice_question_answering | zs_opt | [
-0.27700018882751465,
1.0888450145721436,
-0.04489686340093613,
0.24812230467796326,
-0.2937346398830414,
-0.05485522001981735,
0.2406792938709259,
0.4382169246673584,
0.16306447982788086,
0.24883434176445007,
-0.028605995699763298,
0.6339774131774902,
0.17595455050468445,
0.26463651657104... |
In this task you will be given a list of integers. You should remove any integer that is not prime. A prime integer is an integer that is only divisible by '1' and itself. The output should be the list of prime numbers in the input list. If there are no primes in the input list an empty list ("[]") should be returned.
... | [881] | 0 | NIv2 | task366_synthetic_return_primes | zs_opt | [
-0.6625106334686279,
0.5722368359565735,
-0.31467336416244507,
-0.3385865092277527,
0.05018201842904091,
-0.18084770441055298,
1.024156093597412,
0.8084110021591187,
0.20103049278259277,
0.090201735496521,
-1.084550142288208,
-0.6707266569137573,
-0.10205961763858795,
-0.774948000907898,
... |
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