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 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.
Example input: Category: WHO'S BUYING?
Clue: YouTube, in 2006
Example output: google
Example ... | 2 | 3 | NIv2 | task306_jeopardy_answer_generation_double | fs_opt | [
-0.941785454750061,
0.6310248970985413,
-0.30952930450439453,
-0.3198201656341553,
-0.37389788031578064,
0.16778787970542908,
-0.5597628355026245,
-0.08341486006975174,
-0.27239733934402466,
-0.25274884700775146,
0.04933430254459381,
0.009948596358299255,
-0.3144122064113617,
-0.4103994965... |
In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e you need to perform addition when you see 'aggiunta' and subtraction in case of 'sottrazione'.
Let me give you an example... | -2194 | 8 | NIv2 | task086_translated_symbol_arithmetic | fs_opt | [
0.014214341528713703,
1.1844630241394043,
-0.5910017490386963,
-0.13240021467208862,
-0.17770171165466309,
-0.5439202189445496,
0.5575414896011353,
1.054213285446167,
0.2534143924713135,
-0.5648903846740723,
-0.6448676586151123,
-0.15965868532657623,
-0.4442828893661499,
0.4600065350532532... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Polish.
[EX Q]: مثلا در موضوع باکره ها و بهشت. مد کهنه شرقی در این موضوع نقش داره. مثلا در موضوع باکره ها و بهشت. مد کهنه شرقی در این موضوع نقش داره. مثلا در موضوع باکره ها و بهشت. مد کهنه شرقی در این موضوع نقش داره.
[EX ... | TMM: To dobrze.
| 6 | NIv2 | task1272_ted_translation_fa_pl | fs_opt | [
-1.0797699689865112,
0.4051874876022339,
-0.7466217279434204,
-0.3681833744049072,
-0.9176657795906067,
0.2901422679424286,
1.2974071502685547,
0.10454029589891434,
-0.0009304559789597988,
-0.5180947780609131,
-0.5722827911376953,
0.45583319664001465,
-0.1528337001800537,
1.000551462173462... |
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.
Example Input: cqdccqdqdqcq
Example Output: cqdqdqc
Exam... | iuikiui
| 3 | NIv2 | task850_synthetic_longest_palindrome | fs_opt | [
-0.3194226622581482,
1.182755708694458,
-0.4224807024002075,
-0.8416037559509277,
-0.6041746139526367,
-0.2588312029838562,
1.1111711263656616,
-0.39759671688079834,
0.18026259541511536,
-0.34499263763427734,
-0.490214079618454,
0.2670760750770569,
-0.6285154223442078,
0.43561267852783203,... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
[Q]: Ma non si mette ad ascoltare i Radiohead, o si?
[A]: Vale, pero non escoita Radiohead, a que non?
[Q]: L'ultima cosa, quella che proprio non fa alcuna differenza, é il possesso di un Master.
[A]: Aquela cousa de ab... | De feito poden verse cousas bastante complexas.
| 5 | NIv2 | task1252_ted_translation_it_gl | fs_opt | [
-0.2134181559085846,
0.4223836064338684,
-0.07381727546453476,
-0.3692858815193176,
-0.15686818957328796,
-1.3948347568511963,
0.47979027032852173,
0.8654239177703857,
0.08908387273550034,
-0.2120935469865799,
-0.036044519394636154,
-0.21556289494037628,
-0.44935765862464905,
0.26781344413... |
This task is about translating a given English language sentence to Spanish.
Ex Input:
It's not abstract in that sense, it's still, it is something that she's trying to just describe in a different way. >> Describe in a different way, Christine, wha, wh, what ways.
Ex Output:
No es abstracto en ese sent... | Y es cómico; es un poco lo que está ocurriendo con el petróleo ahora.
| 1 | NIv2 | task1691_qed_amara_translation | fs_opt | [
-0.7539113163948059,
-0.1537976861000061,
0.1946023553609848,
-0.24100811779499054,
0.1318190097808838,
-1.261008858680725,
0.1282956898212433,
1.5051920413970947,
0.5617614984512329,
0.26737841963768005,
0.24076929688453674,
-0.38773736357688904,
0.06695646792650223,
-0.3621670603752136,
... |
Instructions: 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.
Input: Context: Because Riley was not paying attention wh... | No | 3 | NIv2 | task579_socialiqa_classification | zs_opt | [
-0.9215624332427979,
-0.20365974307060242,
0.6482850909233093,
-0.25919052958488464,
-0.513534426689148,
-0.3707093596458435,
0.29354771971702576,
0.8915212750434875,
0.26075279712677,
0.13206374645233154,
0.07290245592594147,
-0.5984714031219482,
-0.4279346466064453,
-0.5866669416427612,
... |
The input is a tweet which can be classified as Hate Speech, Offensive or Normal. Given such a tweet, output the class the tweet belongs to. Hate Speech will contain threatening language towards the community targeted. Offensive language will contain abusive or discriminatory language towards the community targeted.
[... | Hate Speech
| 5 | NIv2 | task1502_hatexplain_classification | fs_opt | [
-0.8689262866973877,
0.8578747510910034,
0.2164970338344574,
0.4048001170158386,
-0.44826585054397583,
-0.8320767879486084,
0.06812740117311478,
1.0898730754852295,
1.3379744291305542,
0.15579572319984436,
-0.10287106782197952,
0.09185904264450073,
-0.3359827995300293,
-1.0860427618026733,... |
Teacher:The task is about translation from Telugu to English. While performing the translation you must preserve the original meaning. Do not include any words which are only limited to your native place.
Teacher: Now, understand the problem? Solve this instance: నేను అతను కాదు అంచనా నం.
Student: | No. I guess he wouldn't be. | 6 | NIv2 | task1324_open_subtitles_te_en_translation | zs_opt | [
0.18869930505752563,
0.8898507356643677,
1.0383293628692627,
0.03845657408237457,
0.05255617946386337,
-0.7276506423950195,
0.7336206436157227,
0.02626519463956356,
0.20401883125305176,
-0.41758114099502563,
0.26898330450057983,
0.032661065459251404,
-1.1154212951660156,
-0.367440462112426... |
Given a sentence in Vietnamese, generate a new Vietnamese sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability o... | Từng phút từng phút giây trôi qua trong quá khứ.
| 5 | NIv2 | task411_mickey_vi_sentence_perturbation_generation | fs_opt | [
-0.5281097888946533,
0.30152684450149536,
0.3070029020309448,
-0.732966423034668,
-0.478384405374527,
-0.6117995977401733,
0.476546049118042,
1.267000436782837,
-0.7481057643890381,
0.17231550812721252,
-0.5695428848266602,
-0.24478285014629364,
0.002304967027157545,
0.1054157167673111,
... |
In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update provides additional inform... | weakener | 9 | NIv2 | task936_defeasible_nli_snli_classification | fs_opt | [
0.061849020421504974,
0.26594263315200806,
-0.28337734937667847,
0.0741807147860527,
0.038645535707473755,
-0.938340961933136,
1.0280351638793945,
1.432603120803833,
0.6806789636611938,
-0.3792172968387604,
-1.2225382328033447,
-0.08739215135574341,
-0.7145400643348694,
0.00009287329157814... |
Definition: A text is given in Malayalam. Translate it from the Malayalam language to the Marathi language. The translation must not omit or add information to the original sentence.
Input: आयुष्यातल्या एका नव्या पर्वाचा प्रारंभ करत असलेल्या सर्व नवयुवकांना माझ्या शुभेच्छा आहेत.
Output: | പുതിയ ഇന്നിംഗ്സ് തുടങ്ങുകയാണ്, എല്ലാ യുവാക്കള്ക്കും എന്റെ ശുഭാശംസകള്. | 2 | NIv2 | task1072_pib_translation_marathi_malayalam | zs_opt | [
0.4418223798274994,
0.5387970209121704,
-0.3616286814212799,
0.20142126083374023,
-0.27234742045402527,
-0.3065950870513916,
0.28589752316474915,
0.03821522742509842,
0.4866660237312317,
-0.5977519154548645,
-0.779435396194458,
0.10542717576026917,
-0.4592247009277344,
0.5496184825897217,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a pair of action statements. Your task is to check if you can conclusively identify which statement is less ethical or not. Answer: 'no' if one of the statements is less ethical, and 'yes' otherwise.
ACTION1: indir... | yes | 1 | NIv2 | task508_scruples_dilemmas_more_ethical_isidentifiable | zs_opt | [
-0.3691708743572235,
0.27015355229377747,
0.000010956660844385624,
0.37034109234809875,
-0.37595582008361816,
-0.32137829065322876,
0.13734278082847595,
0.7433309555053711,
0.30070698261260986,
0.54730623960495,
-0.16726289689540863,
-0.6833115220069885,
-0.6088441014289856,
-0.78182232379... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence in Spanish and your task is to translate it into English. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
- (FR) El informe McCarthy relati... | The McCarthy report on the URBAN Community Initiative gives us an opportunity to reflect on the appropriateness of Community intervention in urban matters. | 1 | NIv2 | task531_europarl_es_en_translation | zs_opt | [
-0.34336888790130615,
0.8685764670372009,
0.41046321392059326,
-0.5606743097305298,
0.3725036382675171,
-0.15597136318683624,
0.9407673478126526,
0.23272711038589478,
0.21331381797790527,
0.20355653762817383,
-0.38933879137039185,
0.5048695802688599,
-0.5437473058700562,
-0.068124413490295... |
Teacher: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-explicit if it explicitly portrays sexual matters.
Teacher: Now, understand the problem? If you are still confus... | Non-sexual-explicit | 2 | NIv2 | task323_jigsaw_classification_sexually_explicit | fs_opt | [
-1.1396074295043945,
0.172176331281662,
0.7033145427703857,
-0.2168610394001007,
-0.2770192325115204,
-0.31810295581817627,
-0.16613225638866425,
0.7746963500976562,
-0.012864576652646065,
0.7847496271133423,
0.5059832334518433,
-0.12212284654378891,
0.018444016575813293,
-0.97917580604553... |
Teacher:In this task, you are given books product reviews in German language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Teacher: Now, understand the problem? Solve this instance: Der kleine Baer pflegt d... | POS | 6 | NIv2 | task479_cls_german_books_classification | zs_opt | [
0.16619637608528137,
0.41865086555480957,
0.015245292335748672,
-0.3741774559020996,
0.43446648120880127,
-0.28353574872016907,
1.2830109596252441,
0.38691920042037964,
0.38813427090644836,
0.1630200743675232,
-0.3990716338157654,
0.20907184481620789,
-0.5460615158081055,
-0.10314203798770... |
Given the task definition and input, reply with output. You are given a news article headline from BBC Yoruba and your task is to classify it into one of the following categories: Africa, Entertainment, Health, Nigeria, Politics, Sport, or World.
EFCC: Ìwádìí iléeṣẹ́ Alpha Beta Consulting Ltd ṣì ń tẹ̀síwáju lórí ẹ̀sù... | Nigeria | 5 | NIv2 | task612_yorubabbc_classification | zs_opt | [
-0.15801483392715454,
0.12461483478546143,
-0.18619942665100098,
0.18689709901809692,
0.07314087450504303,
-0.09347306936979294,
-0.4766717851161957,
0.1615399420261383,
0.15398751199245453,
0.10823178291320801,
-0.26689985394477844,
0.21471843123435974,
-0.8188977241516113,
-0.12572738528... |
In this task you are given a sentence. You must judge whether subject of the main clause is singular or plural. Label the instances as "Singular" or "Plural" based on your judgment.
Q: Work, and Crystal, and school, and the quarry all blurring into one.
A: | Singular | 4 | NIv2 | task430_senteval_subject_count | zs_opt | [
-0.6211076974868774,
1.323209285736084,
0.11499322205781937,
-1.0460131168365479,
-0.44087037444114685,
-0.12248989939689636,
0.18709832429885864,
0.1745171695947647,
-0.1069524958729744,
-0.2392476499080658,
0.35691940784454346,
-0.27069804072380066,
-0.14214184880256653,
-0.5469766259193... |
Definition: In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
Input: sZCbvKgWqEqbxgdHlpUSNTcrsyT, JNHLgpsxBMBEqbxgdHlpUSNTKQnICVvGIZKCl
Output: | b, c, d, e, g, h, i, j, k, l, m, n, p, q, s, t, u, v, x, z | 2 | NIv2 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | zs_opt | [
-0.2662559151649475,
1.2504243850708008,
-0.17979459464550018,
-0.23768001794815063,
0.20917510986328125,
0.04095351696014404,
1.0516993999481201,
-0.6841239929199219,
-0.21667036414146423,
-0.24423351883888245,
-0.3093443214893341,
0.06835464388132095,
-0.05044522136449814,
0.062130682170... |
In this task, you're given a text and question. The question is about the topic of the document. You are expected to generate an incorrect answer. The incorrect answer should be among one of the following categories: 1)Company, 2)Educational Institution, 3)Artist, 4)Athlete, 5)Office holder, 6)Mean of transportation, 7... | Solution: Artist | 5 | NIv2 | task631_dbpedia_14_incorrect_answer_generation | fs_opt | [
-0.3783939480781555,
0.7396484613418579,
-0.03827068209648132,
-0.1503065973520279,
0.29633450508117676,
-0.4975259304046631,
-0.609113335609436,
0.2571057677268982,
-0.08586792647838593,
-0.44511377811431885,
-0.4991806745529175,
0.10598911345005035,
-0.17773163318634033,
-0.2348762899637... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Polish.
با داشتن 5 تصمیم گیرنده ارتباطات بسیاری خواهیم داشت در واقع 120 ارتباط خواهیم داشت اگه فاکتوریل یادتون مونده باشه. | Z pięcioma decydentami jest wiele połączeń — dokładnie 120, jeśli pamiętacie silnię. | 0 | NIv2 | task1272_ted_translation_fa_pl | zs_opt | [
-0.6970638632774353,
0.39059725403785706,
-0.19033682346343994,
0.18935079872608185,
-0.49362725019454956,
-0.07608765363693237,
0.8460179567337036,
-0.1394997388124466,
0.5532776117324829,
-0.2720952033996582,
-0.34966760873794556,
0.25637614727020264,
-0.532538890838623,
0.98963356018066... |
Part 1. Definition
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to return the sum of all the numerical elements in the list A between the positions i and j (including positions i and j). Return 0 if no numerical element is present in the list between the given rang... | 23998 | 7 | NIv2 | task606_sum_of_all_numbers_in_list_between_positions_i_and_j | fs_opt | [
0.019305605441331863,
0.32416218519210815,
-0.5295009016990662,
-0.9571812748908997,
0.1256382316350937,
-0.15386755764484406,
0.24359019100666046,
0.20408454537391663,
-0.2676430940628052,
-0.3142501711845398,
-1.215720772743225,
0.32734644412994385,
-0.13381600379943848,
-0.3999046087265... |
Teacher:Convert a disfluent question to a proper question. A disfluent question is a question that has some interruptions in it while framing. A proper question is the correct form of the question without any disfluency.
Teacher: Now, understand the problem? Solve this instance: Who is er what is the translation of Sie... | What is the translation of Siebengebirge? | 6 | NIv2 | task1622_disfl_qa_text_modication | zs_opt | [
0.37728020548820496,
0.6994292736053467,
0.38325852155685425,
-0.08287149667739868,
0.07446695864200592,
-0.5208276510238647,
1.0408374071121216,
-0.02830888330936432,
0.2571377754211426,
-0.1299874484539032,
-0.022299908101558685,
-0.2415243238210678,
-1.1721302270889282,
0.32712820172309... |
Part 1. Definition
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Japanese.
Part 2. Example
ما آواز خوندیم ، و خوندیم ، آواز خونديم ، و بطور شگفت انگیزی اعتماد جدید رشد کرد ، و درواقع دوستی شکوفه زد.
Answer: 私たちはただひたすら歌い続けましたすると驚くことに信頼が芽生え友情が花開いたのです
Explanation: The Farsi sentence... | この長い英数字の列は個々の変更に割り当てられた固有の識別子でこれは中央での調整なしに行われます | 7 | NIv2 | task1266_ted_translation_fa_ja | fs_opt | [
0.33263838291168213,
1.0644781589508057,
-0.43020564317703247,
0.03404229134321213,
-0.2421586811542511,
0.13107983767986298,
1.354588508605957,
0.23477071523666382,
0.06500540673732758,
-0.6545978784561157,
-1.1809496879577637,
0.2094797044992447,
-1.0045881271362305,
0.18647551536560059,... |
Detailed Instructions: In this task, you are given a statement spoken by a politician in natural language. Your task is to generate the subject of the discussion for the given statement. The subject generated is not necessarily a part of the given input. Your answer should contain one or more words.
Q: We will be the f... | candidates-biography | 9 | NIv2 | task613_politifact_text_generation | zs_opt | [
0.027243737131357193,
1.0050314664840698,
0.4806644916534424,
-0.8405523896217346,
-0.5591545104980469,
-0.6921105980873108,
0.4673747420310974,
0.2231280505657196,
0.48011237382888794,
0.3301699459552765,
-0.21310700476169586,
0.2880685329437256,
-0.24139216542243958,
0.1120491623878479,
... |
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.
Input: Consider Input: Sentence 1: According to the Office of the Actuary at t... | Output: yes
| 2 | NIv2 | task199_mnli_classification | fs_opt | [
-0.5290618538856506,
-0.02687126398086548,
0.6726495027542114,
0.2803844213485718,
0.1528446078300476,
-0.7768957614898682,
0.31500566005706787,
0.9566068649291992,
0.36270785331726074,
0.31923040747642517,
-0.48115476965904236,
-0.7560961246490479,
-0.25713247060775757,
-0.077798560261726... |
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.
This made a considerable difference in their appearance since they had now a distinctive bow and stern. | Lento yenze umohluko omkhulu ngokwembonakalo ukususela ngoko, ngoku sicocekile isaphetha kunye nokhuni. | 0 | NIv2 | task872_opus_xhosanavy_translation_eng_xhosa | zs_opt | [
0.4409732520580292,
0.6289100050926208,
-0.1575164794921875,
-0.4317200779914856,
-0.02353312447667122,
-0.5993571877479553,
1.3956165313720703,
0.6406041383743286,
0.3464122414588928,
-0.6639403700828552,
-0.038978323340415955,
-0.2754727005958557,
-0.7199246883392334,
-0.0814943760633468... |
Given the task definition and input, reply with output. Given a sentence in the Japanese and Thai language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: グループはソロ国際空港とスマラン国際空港もチェックを実施し、これらの空港も空港営業... | Yes | 5 | NIv2 | task1129_alt_ja_th_answer_generation | zs_opt | [
-0.37725281715393066,
-0.08215098828077316,
0.03457823768258095,
-0.12125233560800552,
0.48770871758461,
-0.9490814208984375,
0.5800876617431641,
0.3355403542518616,
-0.5762556791305542,
-0.28756213188171387,
-0.5269762277603149,
0.29790198802948,
-0.3504483699798584,
0.1459188461303711,
... |
Part 1. Definition
The input is a conversation between an automated system and a user looking for suggestions for pubs, restaurants and coffee shops in Cambridge. In the dialogue, the user may provide some criteria for the type of place they want such as price range, cuisine, etc. Given such a dialogue, output the pric... | Moderate | 7 | NIv2 | task1500_dstc3_classification | fs_opt | [
0.599096417427063,
0.32427161931991577,
-0.44376039505004883,
-0.2534794211387634,
0.3392484188079834,
-1.0161726474761963,
0.511454164981842,
0.43805456161499023,
-0.0968286469578743,
0.2842233180999756,
0.3784177303314209,
-0.09243809431791306,
-0.2987530529499054,
0.0687352642416954,
... |
A text is given in Bengali. Translate it from the Bengali language to the English language. The translation must not omit or add information to the original sentence.
নয়াদিল্লি, ২৫ মে, ২০১৯ সাধারণ নির্বাচনে ঐতিহাসিক জয়ের জন্য প্রধানমন্ত্রী শ্রী নরেন্দ্র মোদীকে অভিনন্দন জানিয়ে বিশ্ব নেতৃবৃন্দের শুভেচ্ছাবার্তা এখনও আ... | Messages felicitating Prime Minister Shri Narendra Modi for the historic victory in the general elections continued to stream in from across the world. | 0 | NIv2 | task995_pib_translation_bengali_english | zs_opt | [
-0.615509033203125,
0.598785936832428,
0.13119424879550934,
0.421468049287796,
-0.2641356885433197,
-0.9625083208084106,
-0.17652034759521484,
-0.8636276721954346,
0.0023776651360094547,
-0.08041068911552429,
-0.785910427570343,
-0.1454569399356842,
0.5620955228805542,
0.2898135781288147,
... |
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: Foreign wor... | WP VBD DT NN IN DT NN IN CD TO CD WP VBD DT NN IN DT NN WP VBD VBG IN NNS IN CD . | 3 | NIv2 | task345_hybridqa_answer_generation | zs_opt | [
0.311101496219635,
-0.2728850245475769,
-0.4243181049823761,
0.47767138481140137,
-0.11565719544887543,
-0.7078921794891357,
1.1405019760131836,
0.5384734869003296,
-0.4503077268600464,
-0.2799387276172638,
-0.5236360430717468,
0.4170113205909729,
0.059322863817214966,
0.005204910412430763... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Italian.
Q: So I'm really grateful for this opportunity to share this message again, with everyone at TED.
A: | Quindi sono molto grata di aver avuto l'opportunità di condividere questo messaggio ancora una volta, con tutti voi di TED. | 9 | NIv2 | task1091_ted_translation_en_it | zs_opt | [
-0.8495696783065796,
0.34848910570144653,
0.5318481922149658,
0.0433674231171608,
0.6855636835098267,
-1.512128472328186,
0.2501426935195923,
0.10349684208631516,
0.01173543930053711,
-0.09728565812110901,
0.6746760010719299,
-0.14725904166698456,
-0.220447838306427,
0.3019995093345642,
... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-explicit if it explicitly portrays sexual matters.
Q: Comment: I see the Russian trolls are out in force today!!
A: | Non-sexual-explicit | 4 | NIv2 | task323_jigsaw_classification_sexually_explicit | zs_opt | [
-0.959476113319397,
-0.26997867226600647,
0.5206940174102783,
0.12427571415901184,
-0.13235221803188324,
0.22406066954135895,
0.3026939928531647,
1.0471463203430176,
0.38660505414009094,
0.7596104741096497,
0.32506218552589417,
-0.3837498426437378,
0.23065181076526642,
-0.9541993141174316,... |
You are given a passage. You need to construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is the whole paragraph. Avoid creating questions that can be answered correctly without actually understanding the paragraph.
One example... | why does polar bear's fur turn green? | 9 | NIv2 | task1594_yahoo_answers_topics_question_generation | fs_opt | [
-0.7608144283294678,
0.5794827938079834,
-0.6536669135093689,
0.5043225288391113,
0.4359431266784668,
0.14162516593933105,
-0.3413327634334564,
0.9668843150138855,
-0.06575146317481995,
0.8379414677619934,
0.06827209889888763,
-0.09315263479948044,
-0.2199273407459259,
0.3772040009498596,
... |
Instructions: In this task, you are given a sentence in Persian, and your task is to translate it into English.
Input: $1 ، 000 .
Output: | $1,000 . | 3 | NIv2 | task659_tep_fa_en_translation | zs_opt | [
-0.5875458717346191,
0.8292747735977173,
-0.30766770243644714,
0.7219802141189575,
0.036361392587423325,
0.3577107787132263,
-0.3589109778404236,
0.5325854420661926,
0.7993647456169128,
-0.4371698796749115,
-0.36365723609924316,
0.09265810251235962,
-0.06341197341680527,
-0.649636268615722... |
TASK DEFINITION: In this task, you need to count the number of words in a sentence that contain the given letter
PROBLEM: Sentence: 'a train on the side of a road on the edge of the water'. How many words contain the letter 'u' in the sentence.
SOLUTION: 0
PROBLEM: Sentence: 'fresh daisies in a rectangular green glas... | 0
| 8 | NIv2 | task161_count_words_containing_letter | fs_opt | [
0.027821436524391174,
0.596320390701294,
-1.291818380355835,
-0.46070396900177,
-0.30762821435928345,
0.18289294838905334,
0.4870956838130951,
0.10136965662240982,
0.23475995659828186,
0.03454374894499779,
0.022646216675639153,
0.15219466388225555,
0.2547144293785095,
0.04205784946680069,
... |
Q: In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original" or "Changed" based... | Original | 7 | NIv2 | task515_senteval_odd_word_out | zs_opt | [
-1.2571370601654053,
1.043039083480835,
0.3791612982749939,
-0.6013773679733276,
-0.3237249255180359,
-0.5106207132339478,
-0.05815289169549942,
0.9952678084373474,
0.48297470808029175,
-0.6658999919891357,
-0.7605272531509399,
-0.32383090257644653,
-0.980495035648346,
0.04609806835651398,... |
Detailed Instructions: This task is to translate a news commentary given in English language into French language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Q: On the contrary, expansion takes aw... | Au contraire, l'expansion supprime bien des inquiétudes, qu'elles soient réelles ou imaginaires, qui entourent la situation des importantes populations russophone qui vivent aujourd'hui à l'extérieur de la Russie mais à l'intérieur des frontières de l'ancienne Union soviétique. | 9 | NIv2 | task1371_newscomm_translation | zs_opt | [
-0.4828050136566162,
0.43402308225631714,
-0.007465457543730736,
-0.3495079576969147,
0.13118205964565277,
0.150364950299263,
0.6015480756759644,
0.6264597773551941,
0.9412318468093872,
-0.009189710952341557,
-0.5335626602172852,
0.16175514459609985,
-0.7177726030349731,
0.0436480864882469... |
Definition: Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
Input: These look very slick with red accents, so if that's what you care about ... | Bad review | 2 | NIv2 | task929_products_reviews_classification | zs_opt | [
-1.049393892288208,
0.24221903085708618,
-0.09275779873132706,
0.13251714408397675,
0.33009302616119385,
-0.6376456022262573,
0.44541800022125244,
0.7595192193984985,
0.15158075094223022,
0.6979191303253174,
-0.6528842449188232,
0.08650040626525879,
-0.19428670406341553,
-0.530718564987182... |
In this task, you are given a sentence in the Gujarati language and a corresponding English translation of the Gujarati sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
Gujarati: એક વ્યક્તિ એક જ સમયે બે બાસ્કેટબોલ રમતો જોઈ રહી છે.
English: A person is wat... | Yes | 0 | NIv2 | task440_eng_guj_parallel_corpus_gu-en_classification | zs_opt | [
-0.6487845778465271,
0.24256625771522522,
0.07456034421920776,
0.2087252289056778,
0.1256198137998581,
-0.5430246591567993,
0.6172620058059692,
0.059242524206638336,
-0.016231656074523926,
-0.6299781799316406,
-0.355985164642334,
0.6109758615493774,
-0.5694754123687744,
0.46908676624298096... |
TASK DEFINITION: Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so the users can decide to read the main text or not.
PROBLEM:... | not buying candy for my little cousins who's mom just died
| 8 | NIv2 | task500_scruples_anecdotes_title_generation | fs_opt | [
0.3901219367980957,
0.18709562718868256,
-0.16423839330673218,
-0.57096266746521,
0.41258758306503296,
-0.004866410046815872,
0.7993713617324829,
0.8185844421386719,
-0.22695115208625793,
0.07812045514583588,
0.2942063808441162,
0.6744916439056396,
-0.43701979517936707,
-0.0943505689501762... |
In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False".
--------
Question: Reviews: The right ear bud crackles and p... | False
| 7 | NIv2 | task1309_amazonreview_summary_classification | fs_opt | [
-0.33370959758758545,
0.30525827407836914,
-0.7049877643585205,
-0.14729547500610352,
-0.013165444135665894,
-0.23041567206382751,
0.21294687688350677,
0.8256380558013916,
-0.6684157848358154,
0.5376458764076233,
-0.38103175163269043,
0.007860468700528145,
-0.49655553698539734,
-0.32331210... |
In this task, you will be presented with a question having multiple possible answers in Chinese language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
One example: Question: 牙科诊所处理了很多口外伤的患者，这些患者来自哪里？
Options: (A) 城镇 (B) 密西根 (C) 办公楼 (D) 医院 (E) 学校 ... | E | 6 | NIv2 | task1141_xcsr_zh_commonsense_mc_classification | fs_opt | [
0.022111501544713974,
0.21184366941452026,
-0.5969091653823853,
-0.7015606164932251,
0.3000715374946594,
-0.09513401985168457,
-0.4181610345840454,
0.9270458221435547,
0.10322167724370956,
-0.12584151327610016,
0.22890836000442505,
0.7842544913291931,
0.6537061929702759,
0.1036061942577362... |
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... | Output: Yes
| 2 | NIv2 | task1199_atomic_classification_xattr | fs_opt | [
0.32857632637023926,
0.27823323011398315,
0.1940474957227707,
0.11758776009082794,
-0.1613595336675644,
-0.9926707744598389,
0.644798994064331,
0.8099237084388733,
-0.4977004826068878,
-0.07683835178613663,
-0.6275712251663208,
-0.587660551071167,
-0.7640458345413208,
0.1961602419614792,
... |
Detailed Instructions: In this task, you are given two strings A,B. You must perform the following operations to generate the required output list: (i) Find the longest common substring in the strings A and B, (ii) Convert this substring to all lowercase and sort it alphabetically, (iii) Replace the substring at its re... | ipZDvontbQLCagkmmmppquwxpGtVnrD, TXagkmmmppquwxFdZpI | 8 | NIv2 | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | zs_opt | [
0.2622639536857605,
0.5442968606948853,
-0.248302161693573,
-0.12035660445690155,
0.10138638317584991,
-0.17253389954566956,
0.7312626242637634,
-0.6742711663246155,
-0.07233783602714539,
-0.26784151792526245,
-0.8608681559562683,
-0.5801074504852295,
-0.08685816824436188,
0.14487233757972... |
From the given sentence, extract the phrase (often noun or verb) that carries the given relationship. The generated phrase should be present in the sentence.
Example: Given Relationship: 'make', Sentence: 'Jenny made the announcement that her baby was an alien.'
Example solution: made
Example explanation: The output re... | Solution: Member | 5 | NIv2 | task678_ollie_actual_relationship_answer_generation | fs_opt | [
-0.2831096649169922,
1.4407806396484375,
0.10756775736808777,
-0.1858096420764923,
-0.5432010889053345,
-0.11136848479509354,
0.043851643800735474,
0.5740795135498047,
-0.07619409263134003,
0.03288383409380913,
-0.35111936926841736,
0.7453935742378235,
-0.7741150856018066,
0.34612286090850... |
Given two entities as input, classify as "yes" if second entity is the part of the first entity. Otherwise classify them as "no". These are entities of meronym In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., second enti... | yes | 4 | NIv2 | task472_haspart_classification | zs_opt | [
-0.6178223490715027,
0.5412417650222778,
0.45340490341186523,
0.17753443121910095,
-0.4077538847923279,
-0.18059980869293213,
0.39564210176467896,
0.30583441257476807,
0.9518437385559082,
-0.6728116869926453,
-0.6149425506591797,
0.06380793452262878,
-0.4246433973312378,
-0.002305383794009... |
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 answer with words o... | after shutting the door to the car.
| 0 | NIv2 | task165_mcscript_question_answering_commonsense | fs_opt | [
0.8298386335372925,
0.2785317599773407,
-0.6689425706863403,
0.2140432894229889,
0.06825315207242966,
-0.949207067489624,
1.1002123355865479,
1.0716270208358765,
0.10377371311187744,
0.4875507950782776,
-0.4264397919178009,
-0.08943843841552734,
-0.08893914520740509,
-0.26764124631881714,
... |
In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
Q: Keywords: interferon, interferon-stimulated genes, tumor necrosis factor-related apoptosis-inducing ligand, acute lung... | How Change of Public Transportation Usage Reveals Fear of the SARS Virus in a City
****
| 4 | NIv2 | task1161_coda19_title_generation | fs_opt | [
0.26770293712615967,
0.17476020753383636,
-0.12021151185035706,
0.6452702283859253,
0.6095430254936218,
-0.006178689654916525,
0.8669847249984741,
0.8415342569351196,
-0.36065876483917236,
0.38750287890434265,
-0.7466029524803162,
0.003478426020592451,
-0.2268805205821991,
0.30451324582099... |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Example: I've read this book with much expectation, it was very boring all through out the book
Example solution: Negative
Example explanation: Review writer does not like the book because it was boring, ther... | Solution: Positive | 5 | NIv2 | task493_review_polarity_classification | fs_opt | [
0.26058894395828247,
-0.23925969004631042,
0.7405408024787903,
-0.8309826850891113,
0.8353460431098938,
-0.6057584881782532,
0.8500238656997681,
0.15649986267089844,
0.0024699748028069735,
0.28491008281707764,
-0.5091146230697632,
-0.7840685844421387,
-0.6623476147651672,
-0.40001755952835... |
Given the task definition, example input & output, solve the new input case.
Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact.
Example: Tagalog sentence: Si Roger Federer ang unang manlalaro na nanalo ng 20 Grand Slams
Output: Roger Fed... | Condemn "double insult" of US custody of Pemberton... | 1 | NIv2 | task451_opus_paracrawl_tl_en_translation | fs_opt | [
-0.1142546758055687,
0.3678889274597168,
-0.2810913324356079,
0.0854557454586029,
0.526213526725769,
-0.5274345874786377,
0.6633235216140747,
0.23438294231891632,
0.41299867630004883,
-0.23128986358642578,
-0.035546522587537766,
0.9072158336639404,
-0.6628766655921936,
-0.39982038736343384... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
Ex Input:
También se negaron. Finalmente decidí usar yo la toalla sanitaria.
Ex Output:
Też odmówiły. Ostatecznie podjąłem decyzję, że sam je przetestuję.
Ex Input:
La parte superior es Nailon 6 que puede volver a ser ca... | Znajduje się w strefie, będącej niedaleko gwiazdy, więc temperatura może być tam idealna dla życia.
| 1 | NIv2 | task1102_ted_translation_es_pl | fs_opt | [
-0.4866400957107544,
0.8125993609428406,
-0.35783761739730835,
0.13123579323291779,
-0.058237411081790924,
-0.6640092730522156,
0.2141982764005661,
0.14997783303260803,
-0.052890095859766006,
-0.46404725313186646,
-0.314406156539917,
1.2651830911636353,
-0.5273764729499817,
-0.119689390063... |
Given the task definition and input, reply with output. In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it, i.e., the proper nouns in the passage. Your job is to determine whether information from more than one term is needed to ans... | b | 5 | NIv2 | task232_iirc_link_number_classification | zs_opt | [
0.0015593164134770632,
-0.11199372261762619,
-0.5568430423736572,
0.6678714156150818,
0.32235491275787354,
0.346343457698822,
-0.640178918838501,
0.09671565145254135,
-0.0999135971069336,
0.34111136198043823,
-0.3174170255661011,
0.3253624439239502,
-0.15247103571891785,
0.3073062002658844... |
In this task you will be given a claim and a perspective. You should determine whether that perspective supports or undermines the claim. If the perspective could possibly convince someone with different view, it is supporting, otherwise it is undermining.
Example input: claim: Music containing lyrics that glorify vio... | undermine | 3 | NIv2 | task738_perspectrum_classification | fs_opt | [
-0.1504633128643036,
0.6832795739173889,
0.2207011729478836,
0.2533659040927887,
-0.2225065678358078,
-0.7216996550559998,
0.688585638999939,
0.43175208568573,
0.023032577708363533,
0.3098909258842468,
-0.402848482131958,
-0.6464270949363708,
-0.4530181288719177,
-0.22865146398544312,
0.... |
You will be given a definition of a task first, then some input of the task.
You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equall... | PersonX was curious how the mango PersonY was holding would taste so _ asked to try it. | 1 | NIv2 | task032_winogrande_question_generation_person | zs_opt | [
0.6953429579734802,
0.3080803155899048,
0.42073360085487366,
0.06878428161144257,
0.32817038893699646,
-0.4547884464263916,
0.8224713802337646,
0.8879561424255371,
-0.4420810341835022,
-0.9774407148361206,
-0.3756757378578186,
-0.46727997064590454,
-0.35584259033203125,
-0.1954354345798492... |
Detailed Instructions: You will be given a passage with an enumerated set of facts, a question of form 'Where is <person_name>?', and its answer. The task is to identify a supporting fact that is necessary to answer the question. The output would be the corresponding fact number.
Problem:Passage: Fact 1- Sandra travell... | Fact 1 | 8 | NIv2 | task084_babi_t1_single_supporting_fact_identify_relevant_fact | zs_opt | [
0.4902641773223877,
0.7736912965774536,
-0.8461127877235413,
-0.28225183486938477,
-0.6516907811164856,
-0.3100922703742981,
0.13091856241226196,
0.02955765835940838,
0.658218264579773,
-0.08897550404071808,
-0.16598215699195862,
-0.11806488782167435,
-0.11327358335256577,
-0.0166087951511... |
In this task, you are given a context sentence containing a blank (_). You are expected to fill the blank with one word to make the sentence convey a cultural stereotype. A stereotype is an over-generalized belief about a particular group of people. Your answer must not contain more than one word.
Q: Context: The Russ... | old
****
| 4 | NIv2 | task277_stereoset_sentence_generation_stereotype | fs_opt | [
0.26709574460983276,
0.45488598942756653,
-0.3289877474308014,
-0.5601972937583923,
0.4049297273159027,
0.25334078073501587,
0.7450907826423645,
0.85040283203125,
0.11239027976989746,
-0.3308338224887848,
-0.44960957765579224,
-0.3218861222267151,
-0.8583489656448364,
0.4406502842903137,
... |
Part 1. Definition
In this task, positions of two consecutive words have been swapped. You need to output the position of the swaped words. e.g. in the sentence 'Seattle has nice a weather', the word 'a' and 'nice' have been swapped. These words are at 3rd and 4th position respectively. So, the output should be (3, 4).... | (4, 5) | 7 | NIv2 | task089_swap_words_verification | fs_opt | [
-0.401557594537735,
0.3335695266723633,
-0.3644179105758667,
-0.6764962673187256,
-0.03161052241921425,
0.16533608734607697,
0.4180392324924469,
0.17475637793540955,
0.22419217228889465,
-0.16414125263690948,
-0.21548229455947876,
-0.14666080474853516,
-0.4680355489253998,
0.16761410236358... |
You will be given a definition of a task first, then some input of the task.
Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
What army was pushing why did the exiled Polish government order the underground Home Army to seize control of Stalin... | Why did the exiled Polish government in London order the underground Home Army to seize control of Stalin prior to the arrival or the Red Army? | 1 | NIv2 | task1195_disflqa_disfluent_to_fluent_conversion | zs_opt | [
-0.27281680703163147,
0.7983954548835754,
-0.7587870955467224,
-0.6015611886978149,
-0.027409091591835022,
-0.021480374038219452,
1.3333677053451538,
-0.1777862310409546,
0.5358529090881348,
0.11973315477371216,
-0.9646369218826294,
-0.35269343852996826,
-1.011596918106079,
-0.039009824395... |
Given a sentence in Bulgarian, generate a new Bulgarian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of ... | Ще посетите музей, защото искате да видите артефактите. | 4 | NIv2 | task415_mickey_bg_sentence_perturbation_generation | zs_opt | [
-0.14096085727214813,
0.4270729124546051,
-0.08055363595485687,
-0.16695323586463928,
-0.12529242038726807,
-0.7657471299171448,
0.291920006275177,
0.3523811995983124,
0.7385129928588867,
-0.6749626994132996,
-0.43276137113571167,
0.8829466104507446,
-0.5698447823524475,
0.3891558647155761... |
In this task, you are given a sentence in the Bulgarian language. Here, your job is to convert bulgarian sentence into the english language.
Example Input: От юли 2008 г. досега изминахме дълъг път.
Example Output: We have come a long way since July 2008.
Example Input: Батерии и акумулатори и техните отпадъци (
Exam... | on behalf of the IND/DEM Group. - Mr President, do enjoy the 10th birthday of the euro because I very much doubt you will be celebrating the 20th.
| 3 | NIv2 | task271_europarl_translation | fs_opt | [
-0.09040224552154541,
0.6896274089813232,
-0.17847523093223572,
-0.040974728763103485,
-0.3336554765701294,
-1.0264416933059692,
0.1915990710258484,
0.8638099431991577,
-0.16541284322738647,
0.10603723675012589,
0.2905215322971344,
1.1750355958938599,
-0.4317812919616699,
-0.38999587297439... |
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.
[Q]: Who published the moscow math... | Keanu Reeves
| 5 | NIv2 | task669_ambigqa_answer_generation | fs_opt | [
-0.3468988239765167,
0.9417856931686401,
-0.7713205814361572,
-0.20933660864830017,
0.08641074597835541,
-0.1335829794406891,
1.131049633026123,
0.19902271032333374,
0.8374779224395752,
-0.01788496784865856,
-0.8044807314872742,
0.5409350991249084,
-0.07602326571941376,
-0.1576909720897674... |
Given the prompt and a response, classify the them to "yes" if response is "yes, and" type. Otherwise classify it as "no". "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thou... | yes
| 1 | NIv2 | task361_spolin_yesand_prompt_response_classification | fs_opt | [
0.7934136986732483,
0.5048646926879883,
0.23204129934310913,
0.5912177562713623,
0.2533740997314453,
-0.9846669435501099,
-0.06945480406284332,
0.8108516931533813,
-0.0916222557425499,
0.07100803405046463,
-0.35635140538215637,
-0.10453241318464279,
-0.8813419342041016,
0.1415177583694458,... |
Given the task definition, example input & output, solve the new input case.
You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equall... | PersonX was excited to read the movie script that PersonY had written for them, because _ had always wanted to be an actor. | 1 | NIv2 | task032_winogrande_question_generation_person | fs_opt | [
0.4001154601573944,
0.4178568124771118,
-0.09210005402565002,
0.5689886808395386,
0.509550929069519,
-0.06461136788129807,
0.41703593730926514,
1.1327705383300781,
-0.17626021802425385,
-0.7355000972747803,
-0.1018913984298706,
-0.4390779137611389,
-0.17817747592926025,
-0.2489581406116485... |
Given the task definition and input, reply with output. 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 signific... | intestine | 5 | NIv2 | task039_qasc_find_overlapping_words | zs_opt | [
-0.031187431886792183,
0.6871365308761597,
0.29780375957489014,
-0.8961679935455322,
-0.21655669808387756,
-0.015711585059762,
-0.1870296597480774,
0.04359903931617737,
0.08053069561719894,
-0.6620104312896729,
-0.11898823827505112,
-0.6417559385299683,
-1.0338599681854248,
0.2454393506050... |
Definition: The input is a sentence. The sentence includes an emotion. The goal of the task is to classify the emotion in the sentence to one of the classes: 'fear', 'joy', 'anger', 'sadness'. The emotion mainly depends on the adverb within the sentence.
Input: Amanda made me feel angry.
Output: | anger | 2 | NIv2 | task1338_peixian_equity_evaluation_corpus_sentiment_classifier | zs_opt | [
-0.37904760241508484,
0.2740993797779083,
0.24428407847881317,
-0.8322117328643799,
-0.21699227392673492,
-0.4416479170322418,
0.3822634816169739,
0.5243773460388184,
0.2114446759223938,
-0.24422362446784973,
-0.8313312530517578,
-0.750573992729187,
-0.7662040591239929,
-0.4831135869026184... |
Detailed Instructions: A text is given in Tamil. Translate it from the Tamil language to the Telugu language. The translation must not omit or add information to the original sentence.
See one example below:
Problem: ఆయన తీసుకొన్న చొరవ తో అగర్తలా లో ఒక విమానాశ్రయాన్ని నిర్మించడం జరిగింది
Solution: ஒரு விமான நில... | அரசு சாராத நிறுவனங்களில் சரக்கு மற்றும் சேவை வரி வலைப்பின்னலில் மத்திய அரசும், மாநில அரசுகளும் 51 சதவீத சமபங்கை கையகப்படுத்துவது என்றும் தனியார் நிறுவனங்கள் வைத்திருந்த சமபங்கை கையகப்படுத்த சரக்கு மற்றும் சேவை வரி வலைப்பின்னல் வாரியம் நடவடிக்கை எடுக்க அனுமதி அளிப்பது. | 4 | NIv2 | task1076_pib_translation_telugu_tamil | fs_opt | [
0.2172616422176361,
0.658494234085083,
0.5826037526130676,
-0.12911918759346008,
0.5561367273330688,
-0.8030135035514832,
-0.08002746850252151,
0.6151504516601562,
-0.615816593170166,
0.5450847148895264,
-0.5462007522583008,
0.16478657722473145,
-0.871449887752533,
0.10538418591022491,
-... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify this question-answer pair into two categories: (1) "yes" if the given answer is right for question, and (2) "no" if th... | no | 1 | NIv2 | task241_tweetqa_classification | zs_opt | [
-0.9020260572433472,
-0.05422748252749443,
0.5894005298614502,
0.6120134592056274,
-0.05472037196159363,
-0.10795624554157257,
0.18041323125362396,
0.1910003274679184,
0.18607962131500244,
0.7794181108474731,
0.43462294340133667,
-0.054171279072761536,
-0.022284498438239098,
0.004395019728... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
The task is to write a full sentence or two using all of the information given. The sentence(s) will be a brief review of a restaurant. Use all of the information provided.
name[xname], cuisine[Fast... | xname is an Italian restaurant that is adults-only located in the city centre. It has a customer rating of 5 out of 5 and is not family-friendly. | 0 | NIv2 | task1598_nyc_long_text_generation | fs_opt | [
-0.4216923713684082,
0.6372522115707397,
-0.6906232833862305,
-0.0811133086681366,
-0.0323941595852375,
-0.04452645406126976,
1.096501111984253,
0.6194186210632324,
0.3433845043182373,
-0.41978713870048523,
0.4098309278488159,
-0.17041870951652527,
-0.46180546283721924,
0.09525871276855469... |
Instructions: In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each citing text... | (A) | 3 | NIv2 | task268_casehold_legal_answer_generation | zs_opt | [
0.1811339408159256,
0.17324328422546387,
-0.18436148762702942,
-0.002498209709301591,
-0.047203317284584045,
-0.8177869915962219,
-0.49739354848861694,
1.0599380731582642,
-0.4870726466178894,
-0.2237434983253479,
-0.7559548616409302,
-0.10552972555160522,
-0.47550225257873535,
0.123036533... |
In this task you are given a tweet and you must identify whether the tweet contains any offense or any form of (untargeted) profanity. Label the post as NOT if the post does not contain offense or profanity. Non-offensive posts do not include any form of offense or profanity. label the post as OFFENSIVE if the post co... | NOT | 3 | NIv2 | task286_olid_offense_judgment | fs_opt | [
-1.2721173763275146,
0.4455145299434662,
0.5561480522155762,
0.33989620208740234,
-0.3905147612094879,
-0.451317697763443,
0.779633104801178,
0.3555561602115631,
0.8123540878295898,
0.2855874300003052,
0.5474275350570679,
-0.2527315616607666,
-0.09668219089508057,
-0.5901265144348145,
0.... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
Example Input: السؤال هو ، كمحترفي بناء ، كمعماريين ، كمهندسين ، كمطورين ، إذا كنت تعلم أن هذا يحدث ، حيث أننا نذهب الى المواقع أسبوعياً ، هل نحن راضين أو متواطئين مع إنتهاكات حقوق الإنسان ؟
Example Output: La domanda è, da ... | una firma di polline diversa, se vogliamo, o un'impronta digitale del polline.
| 3 | NIv2 | task1106_ted_translation_ar_it | fs_opt | [
-0.04353855922818184,
0.4539785385131836,
0.2618139386177063,
0.0613870844244957,
-0.4879578649997711,
-0.7675445675849915,
0.35545480251312256,
0.6531918048858643,
-0.4949755072593689,
0.13453897833824158,
-0.8688505291938782,
0.3835188150405884,
-0.23875951766967773,
-0.04967397823929787... |
You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long.
The answers need to be context specific and can not be general knowledge or a random guess.
[Q]: CONTEXT: El presidente venezolano, Hugo Chávez, calificó hoy de "extraordinaria" a la recién concl... | una minoría de 26 diputados
| 5 | NIv2 | task1334_sqac_answer_generation | fs_opt | [
0.5635562539100647,
-0.34221360087394714,
-0.44279301166534424,
-0.30977678298950195,
0.3461863696575165,
-0.12344285845756531,
1.3259906768798828,
0.561908483505249,
-0.4741339683532715,
0.6398791074752808,
-0.23042181134223938,
0.5515034198760986,
-0.3879971504211426,
0.7318241596221924,... |
Detailed Instructions: In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it, i.e., the proper nouns in the passage. Your job is to determine whether information from more than one term is needed to answer the question. Indicate your c... | a | 9 | NIv2 | task232_iirc_link_number_classification | zs_opt | [
0.6574878692626953,
0.23444120585918427,
-0.09066271781921387,
0.07703282684087753,
-0.33238959312438965,
-0.1392519772052765,
0.9237940907478333,
0.5748499631881714,
0.31092554330825806,
0.09836428612470627,
-0.3786730468273163,
0.5075000524520874,
-0.1509670913219452,
-0.2546753883361816... |
Given the task definition and input, reply with output. In this task you will be given a list of strings and you need to concatenate them.
['abhorred', 'L', 'K', 'a', 'X', 'and', 'F', 'reason', 'E']
| abhorredLKaXandFreasonE | 5 | NIv2 | task079_conala_concat_strings | zs_opt | [
-0.4080083966255188,
0.903015673160553,
0.3313992917537689,
-0.7844479084014893,
-0.44588008522987366,
-0.23243200778961182,
0.6526280045509338,
-0.13602858781814575,
-0.01816088706254959,
-0.0941547378897667,
-0.7089216709136963,
0.12344177067279816,
-0.16789257526397705,
0.06517451256513... |
Given the task definition, example input & output, solve the new input case.
In this task, 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.
Example: These are junk! Both bulbs have burned out within a two month ... | negative | 1 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt | [
0.030819589272141457,
-0.24568869173526764,
-0.15917479991912842,
0.5896511673927307,
0.527869701385498,
-0.1472533643245697,
0.40859758853912354,
1.3198676109313965,
-0.3041495680809021,
0.6602387428283691,
-0.32251882553100586,
-0.06929633021354675,
-0.3355615437030792,
-0.81972861289978... |
Teacher: In this task, you will be presented with a multiple-choice question in Persian, and you should answer the question based on your knowledge. Classify the answers based on options.
Teacher: Now, understand the problem? If you are still confused, see the following example:
نسبت .... به باران ، مثل دلتنگی است به .... | C | 2 | NIv2 | task473_parsinlu_mc_classification | fs_opt | [
0.04893192648887634,
0.45387235283851624,
-0.3729283809661865,
-0.23012547194957733,
-0.7115359902381897,
0.08905734121799469,
1.5319875478744507,
0.3031909763813019,
0.0022904016077518463,
-0.34438806772232056,
-0.7281842827796936,
-0.04905226454138756,
-0.14614765346050262,
0.43685394525... |
Q: Given a sentence in the Japanese and Thai language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: 連邦健康老齢庁によると、毎年診断される乳がんの14,000の症例のうちのおよそ2,000は、HER2に対して陽性のタイプだ。
Thai: ตามที่หน่วยงานสวัสดิการส... | Yes | 7 | NIv2 | task1129_alt_ja_th_answer_generation | zs_opt | [
-1.1949102878570557,
-0.3960273265838623,
0.2387579083442688,
0.37376129627227783,
0.12317976355552673,
-0.7789522409439087,
0.3852789103984833,
0.8020153045654297,
-0.4709167182445526,
-0.20265449583530426,
-0.3383375108242035,
0.5458565950393677,
-0.3244563341140747,
0.8229275941848755,
... |
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In the translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
इसके अतिरिक्त इसके अन्य भी बहुत से अधिनस्थ क्षेत्र हैं जो ओशिनिया और अन्... | In addition its has control over several places which include Oceania. | 0 | NIv2 | task424_hindienglish_corpora_hi_en_translation | zs_opt | [
-0.11327575892210007,
0.6643025875091553,
0.29580771923065186,
-0.41180717945098877,
0.16462668776512146,
-0.2749505937099457,
0.1023283302783966,
0.4976852536201477,
0.05260942876338959,
-0.3472619950771332,
-0.7856082916259766,
-0.6261559724807739,
-0.5174071788787842,
0.1805575937032699... |
Detailed Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
See one example below:
Problem: Agora, está ao lado, ou na miña casa.
Solution: Now, it's next door, or in my house.
Explanation: The Galician sentence is correctly translated into English. `casa` i... | The company that invented it did a lot of studies, submitted it to the FDA. | 4 | NIv2 | task1238_ted_translation_gl_en | fs_opt | [
-0.46158531308174133,
0.9868744611740112,
-0.16677922010421753,
-0.9069076776504517,
0.11995311081409454,
-1.3976917266845703,
0.773808479309082,
1.0693433284759521,
0.11060799658298492,
0.3205842673778534,
-0.5257805585861206,
0.8418560028076172,
-0.8865888118743896,
0.07667534798383713,
... |
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... | Lo mgudu awuzange uphindwe kwakhona. | 2 | NIv2 | task872_opus_xhosanavy_translation_eng_xhosa | fs_opt | [
0.2359519600868225,
0.9297806620597839,
0.45978063344955444,
-0.1507619321346283,
-0.4602653682231903,
-0.9489721655845642,
1.0493218898773193,
0.7685238718986511,
-0.48939862847328186,
-0.2766914963722229,
-0.2538575530052185,
-0.27182137966156006,
-0.7822104692459106,
-0.360088050365448,... |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being tr... | Reality is what we sort , ignore , touch , hear , and pull . | 2 | NIv2 | task413_mickey_en_sentence_perturbation_generation | zs_opt | [
0.13413529098033905,
0.8659531474113464,
0.24421484768390656,
-0.35760068893432617,
-0.2062588781118393,
-0.6167215704917908,
-0.3731643259525299,
1.172335147857666,
0.0918756052851677,
-0.5431089997291565,
-1.2666137218475342,
0.2358122169971466,
-0.612709641456604,
0.04490961134433746,
... |
The task is about translation from Telugu to English. While performing the translation you must preserve the original meaning. Do not include any words which are only limited to your native place.
Example: అనేకవింతపురాణములు భారతదేశం యొక్క ఈ అరణ్య యొక్క చెప్పబడ్డాయి, కానీమోగ్లీఅనేచిన్నబాలుడుకథ కాబట్టి వింత
Example solu... | Solution: - Very good. | 5 | NIv2 | task1324_open_subtitles_te_en_translation | fs_opt | [
-0.29797643423080444,
1.086828351020813,
0.45480138063430786,
0.12392079830169678,
0.04350775107741356,
-1.5554776191711426,
-0.04907386004924774,
0.012236177921295166,
-0.5464838743209839,
-0.3381749093532562,
-0.9227151870727539,
-0.06881557404994965,
-0.8256579041481018,
-0.058968067169... |
Given a sentence in English language, translate the sentence to Tagalog language keeping the meaning of the original sentence intact.
English sentence: Put the pan in the oven pre-heated at 220 ° for a period of about 20 minutes. Stop the cooking to the appearance of gilding and always serve warm.
Ilagay ang kawali sa... | 27 Sa isang dalagang magaasawa sa isang lalake, na ang kaniyang ngala'y Jose, sa angkan ni David; at Maria ang pangalan ng dalaga.
| 0 | NIv2 | task448_opus_paracrawl_en_tl_translation | fs_opt | [
0.10001808404922485,
0.28673166036605835,
-0.8536728620529175,
-0.3235470652580261,
-0.3942267596721649,
-1.2633678913116455,
0.5569533109664917,
0.5072275400161743,
-0.2090124487876892,
-0.27514898777008057,
0.29609787464141846,
0.7895506620407104,
-1.0123207569122314,
0.14531439542770386... |
TASK DEFINITION: In this task, you are given a context paragraph of the tweet and question. Your task is to generate right answer of given question based on given context tweet paragraph.
PROBLEM: Context: Dear Twitter Friends, Showtime did not pull the plug on Twin Peaks.— David Lynch (@DAVID_LYNCH) April 5, 2015 Ques... | protesting climate change
| 8 | NIv2 | task239_tweetqa_answer_generation | fs_opt | [
-0.7299320697784424,
0.07673075050115585,
0.251060426235199,
-0.14878785610198975,
-0.38332533836364746,
-0.27520743012428284,
0.4533228874206543,
0.035804662853479385,
-0.05954553186893463,
0.12292610108852386,
-0.19554096460342407,
0.18749067187309265,
-0.6548106670379639,
-0.09366446733... |
Teacher: In this task, we ask you to rewrite a sentence in simple English without changing its general meaning. Essentially, you want to make the sentence easier to read by using simpler words, utilizing more straightforward sentence structures, and omitting non-essential information etc.
Teacher: Now, understand the p... | She held a number of prominent positions within CSIRO . | 2 | NIv2 | task933_wiki_auto_style_transfer | fs_opt | [
-0.23689338564872742,
0.4138793349266052,
0.32062962651252747,
-0.2666627764701843,
0.36244720220565796,
-0.7883514165878296,
0.4559883177280426,
0.7669944763183594,
0.15170753002166748,
0.39036911725997925,
-0.4049922525882721,
0.10096520930528641,
-0.3998083770275116,
-0.7807486057281494... |
Detailed Instructions: 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 usi... | Four men do a square dance on stage together. | 4 | NIv2 | task184_snli_entailment_to_neutral_text_modification | fs_opt | [
-0.1936008632183075,
0.674289882183075,
0.32124063372612,
-0.6364091634750366,
0.13120189309120178,
-0.5000697374343872,
-0.09071729332208633,
0.6293274164199829,
0.3027990460395813,
-0.11277982592582703,
-0.5647304654121399,
-0.2887379825115204,
-0.7644990086555481,
-0.3248407244682312,
... |
Teacher: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Japanese.
Teacher: Now, understand the problem? If you are still confused, see the following example:
A ideia é muito, muito simples.
Solution: このアイデアはとてもシンプルで
Reason: The Portugese sentence is correctly translated in... | このイマームの最高に素晴らしいところは自由に描かせてくれたことスケッチを見せてくれとか何を書くんだとか聞かれませんでした | 2 | NIv2 | task1275_ted_translation_pt_ja | fs_opt | [
0.06073955446481705,
0.7427388429641724,
0.44310545921325684,
-0.7447275519371033,
-0.21961131691932678,
-1.0859121084213257,
0.22571268677711487,
0.6663155555725098,
0.3962438106536865,
-0.5667480826377869,
-0.6183657646179199,
-0.05223945528268814,
-0.7137474417686462,
-0.341702401638031... |
Given a passage classify if the passage has a definite objective/aim/goal or not. Output '1' if the passage has a defininte objective/aim/goal and output '0' if the passage does not have a definite objective/aim/goal.
[Q]: Matrix metalloproteinases (MMPs) play pivotal roles in tumor progression. MMP-13 (collagenase-3)... | 0
| 5 | NIv2 | task848_pubmedqa_classification | fs_opt | [
0.15373826026916504,
0.33923137187957764,
-0.5838451385498047,
-0.17813518643379211,
0.704363226890564,
-0.3087676763534546,
0.4402012825012207,
0.8918938636779785,
-0.12103400379419327,
0.06861001253128052,
-0.12536007165908813,
-0.5716913938522339,
-0.952785849571228,
0.30483099818229675... |
You will be given a definition of a task first, then some input of the task.
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.
what movies can be described by raymond burr?
Output: | Rear Window, Godzilla, King of the Monsters!, Gorilla at Large | 1 | NIv2 | task615_moviesqa_answer_generation | zs_opt | [
-0.31163081526756287,
0.7150306701660156,
-0.12462101876735687,
0.5980141162872314,
-0.5662069320678711,
0.44228821992874146,
0.5739284753799438,
-0.358132004737854,
0.554233729839325,
-0.1426512897014618,
0.11374107003211975,
-0.4814896583557129,
-0.8847475051879883,
0.16307854652404785,
... |
Teacher: In this task, you're given four sentences of a story written in natural language. The given story is not complete and your job is to complete the story by selecting one of the sentence choices from (A) and (B), such that the story sounds fully coherent.
Teacher: Now, understand the problem? If you are still co... | A | 2 | NIv2 | task296_storycloze_correct_end_classification | fs_opt | [
0.42703521251678467,
0.29572317004203796,
-0.4104498624801636,
-0.39761030673980713,
0.713910698890686,
-0.6419086456298828,
0.7406603693962097,
0.9326096773147583,
-0.45926064252853394,
0.1665002405643463,
-0.32912492752075195,
-0.24958401918411255,
-0.2497318983078003,
-0.386188387870788... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Farsi.
[Q]: Os países situados á dereita como Noruega e EEUU son o dobre de ricos ca Israel, Grecia, Portugal
[A]: و کشورهای سمت راست را می بینید ، نظیر نروژ و ایالات متحده ، دو برابر ثروتمند تر از اسرائیل ، یونان ، پرتغال در سمت... | هنگامی که ما این را با شرایط دیگر مقایسه ی کنیم که با آن آشنا هستیم ، چیزهایی مانند سرطان ، بیمارهای قلبی ، دیابت ، در حقیقت ، ژنتیک نقش بسیار طولانی در اوتیسم دارند تا اینکه در هر یک از این شرایط.
| 5 | NIv2 | task1245_ted_translation_gl_fa | fs_opt | [
-0.346900999546051,
0.5078709721565247,
0.1541895866394043,
-0.624582827091217,
-0.6203432083129883,
-0.420208215713501,
0.893393874168396,
0.8947886228561401,
0.20486190915107727,
0.342631995677948,
-1.0165413618087769,
0.7172294855117798,
-0.8801791071891785,
0.28854429721832275,
0.710... |
TASK DEFINITION: The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Catalan Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and form of each sentence in the Cat... | Pasaba horas completas al piano alternando cantos y llantos, a menudo con la voz totalmente ahogada por las lágrimas.
| 8 | NIv2 | task1652_opus_books_ca-en_translation | fs_opt | [
0.8357514142990112,
0.8147867918014526,
-0.7049697637557983,
-0.3205171227455139,
-0.02051963284611702,
-1.1020230054855347,
1.0934031009674072,
0.5638220310211182,
0.07797709852457047,
0.07964809238910675,
-0.17002445459365845,
0.3470083475112915,
-1.1326725482940674,
-0.08126096427440643... |
Convert a disfluent question to a proper question. A disfluent question is a question that has some interruptions in it while framing. A proper question is the correct form of the question without any disfluency.
Q: By justification certain racial and geographical theories, America um no Europe thought of itself as wh... | What type of role that Islamism seeks makes it not a controversial concept?
****
| 4 | NIv2 | task1622_disfl_qa_text_modication | fs_opt | [
0.389303982257843,
0.4914896488189697,
0.5355086326599121,
0.1480478048324585,
-0.25121164321899414,
0.05051524192094803,
0.5280048251152039,
-0.30856066942214966,
0.4654545187950134,
0.24356015026569366,
-0.34692609310150146,
-0.4439306855201721,
-0.556097149848938,
0.005029371939599514,
... |
You are given a sentence in English. Your job is to translate the English sentence into Spanish.
This is all accurate except for one thing — it's pitch black. | Es así excepto por una cosa: está totalmente oscuro. | 0 | NIv2 | task1219_ted_translation_en_es | zs_opt | [
-0.05973265692591667,
0.9388161897659302,
0.09246795624494553,
-0.7673039436340332,
0.3988146185874939,
-1.2847038507461548,
0.5090912580490112,
1.2052555084228516,
1.076951265335083,
0.054458364844322205,
-0.5552747249603271,
-0.2656433582305908,
0.058511100709438324,
0.2738191783428192,
... |
In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
Q: I work with my old best friend.
A: Have you kept in touch with anyone here?
****
Q: I do but not too spicy
A: Do you like Mexican?
****
Q: I prefer acoustic melodies.
A: | Do you like electric guitars?
****
| 4 | NIv2 | task568_circa_question_generation | fs_opt | [
-0.33021414279937744,
0.9132617712020874,
-0.24205371737480164,
0.05201385170221329,
-0.3597020208835602,
-0.11694298684597015,
1.1102067232131958,
0.27164703607559204,
-0.0037176222540438175,
-0.16112512350082397,
0.18665781617164612,
-0.031086256727576256,
-0.777393639087677,
0.300172269... |
Given the task definition and input, reply with output. In this task you will be given a claim and a perspective. You should determine whether that perspective supports or undermines the claim. If the perspective could possibly convince someone with different view, it is supporting, otherwise it is undermining.
claim:... | undermine | 5 | NIv2 | task738_perspectrum_classification | zs_opt | [
0.016832683235406876,
0.9606955647468567,
0.384233295917511,
-0.6208115816116333,
-0.13846850395202637,
-0.8435642719268799,
0.7407571077346802,
0.6401031017303467,
0.35437560081481934,
0.04498298466205597,
-0.327827125787735,
0.07945330440998077,
-0.1784406453371048,
0.15782225131988525,
... |
Teacher:Given a real-life anecdote of a complex ethical situation, identify who is wrong here. Classify each post into the following categories : AUTHOR (if the author of the post is wrong in the situation), OTHER (if any of the others mentioned in the paragraph is wrong), EVERYBODY (if everyone mentioned is wrong) and... | AUTHOR | 6 | NIv2 | task498_scruples_anecdotes_whoiswrong_classification | zs_opt | [
-0.2545154094696045,
0.3735392093658447,
0.09940551221370697,
-0.24034066498279572,
0.07711632549762726,
-0.6250078678131104,
0.39692288637161255,
0.7543895840644836,
0.811753511428833,
-0.24224960803985596,
-0.40726590156555176,
-0.028906242921948433,
-0.7959376573562622,
-0.0762888640165... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Let me give you an example: Terán seguro para pagar a receita?
The answer to this example can be: 処方箋を支払う為の保険は ？
Here is why: The Galician sentence is correctly translated into Japanese, because the meaning is preserved... | つまりそれは遺伝的な改良です | 8 | NIv2 | task1239_ted_translation_gl_ja | fs_opt | [
-0.5227704644203186,
0.8959459662437439,
0.4444431662559509,
-0.7610318064689636,
-0.40622323751449585,
-1.109218716621399,
1.0640599727630615,
0.11522113531827927,
0.3020053505897522,
-0.6948292255401611,
-0.4343397617340088,
0.3058072328567505,
-1.0279568433761597,
0.5974459648132324,
... |
Given the task definition and input, reply with output. In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False".
Rev... | True | 5 | NIv2 | task1309_amazonreview_summary_classification | zs_opt | [
-0.6631288528442383,
0.39642465114593506,
-0.1230556070804596,
-0.3120887279510498,
-0.2961302101612091,
0.14693671464920044,
0.5107691884040833,
0.807563066482544,
-0.38278254866600037,
0.20239827036857605,
-0.316709041595459,
0.01655065082013607,
-0.7516026496887207,
-0.01857208088040352... |
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