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 |
|---|---|---|---|---|---|---|
In this task you will be given a list of numbers and you need to find the mean (average) of that list. The mean of a list can be found by summing every number in the list then dividing the result by the size of that list. The output should be rounded to 3 decimal places.
Example Input: [145.697, -40.957, -46.926, -55.... | 51.611
| 3 | NIv2 | task094_conala_calculate_mean | fs_opt | [
-0.22499507665634155,
0.13110437989234924,
-1.0323057174682617,
-0.7169017791748047,
0.15864817798137665,
0.3451572358608246,
0.6948212385177612,
0.4997820258140564,
-0.2194800078868866,
0.03786236420273781,
-1.1433873176574707,
0.4583998918533325,
-0.7797759771347046,
0.10915697365999222,... |
Definition: Given a document, generate a short title of the document. The title should convey the main idea/event/topic about which the document is being written. Note that URLs in the text have been replaced with [Link].
Input: Bitter potato varieties are still harvested in the Andean highlands says Marcelino Araniba... | The Ancient Andean Tradition of Eating Clay May Have Helped To Protect Health | 2 | NIv2 | task418_persent_title_generation | zs_opt | [
0.3005487024784088,
-0.1837000548839569,
-0.3727099895477295,
0.8227512240409851,
-0.5074465870857239,
-0.3707137107849121,
0.30372345447540283,
0.6502201557159424,
-0.5199963450431824,
0.15259549021720886,
-0.21588017046451569,
0.21877244114875793,
-0.8602769374847412,
0.2726459801197052,... |
Given the task definition and input, reply with output. In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned... | [53, 25, 187, 75] | 5 | NIv2 | task205_remove_even_elements | zs_opt | [
-0.636325478553772,
0.6574079394340515,
-0.051740534603595734,
-0.6106138825416565,
0.2991403341293335,
-0.49574971199035645,
0.8726727962493896,
0.22248315811157227,
-0.42556917667388916,
0.3676969110965729,
-0.7775800228118896,
0.34780603647232056,
-0.34065747261047363,
-0.28001686930656... |
In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal.
Here are the defications ... | superlative
| 3 | NIv2 | task212_logic2text_classification | fs_opt | [
0.04255085065960884,
-0.2678152620792389,
-0.3611367344856262,
0.33778998255729675,
0.36707237362861633,
-0.46066778898239136,
0.8103898763656616,
0.663004994392395,
0.27512097358703613,
0.025453420355916023,
-0.09614043682813644,
0.08831515908241272,
0.03247714042663574,
0.465935379266738... |
You will be given a definition of a task first, then some input of the task.
The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Portuguese Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for ... | Este discurso causou uma curiosa sensação entre o grupo. | 1 | NIv2 | task1647_opus_books_en-pt_translation | zs_opt | [
-0.30175501108169556,
0.9950695633888245,
0.11642913520336151,
-0.02538973093032837,
-0.47535911202430725,
-0.7535790205001831,
0.5998302698135376,
0.43327632546424866,
0.22594889998435974,
-0.3944994807243347,
-0.11832727491855621,
0.3678276836872101,
-0.8824155330657959,
-0.0127200763672... |
Given the task definition, example input & output, solve the new input case.
In this task, you need to count the number of words in a sentence that end with the given letter. Answer with numbers and not words.
Example: Sentence: 'the street light is green in the city'. How many words end with the letter 't' in the sent... | 2 | 1 | NIv2 | task163_count_words_ending_with_letter | fs_opt | [
-0.26935428380966187,
0.8881311416625977,
-0.3717048764228821,
-0.33109137415885925,
0.17266279458999634,
0.009961819276213646,
-0.1643485277891159,
0.7531980872154236,
0.2252010852098465,
-0.28762364387512207,
0.31141990423202515,
0.3645157217979431,
-0.22664228081703186,
-0.2400729060173... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence that is either in the Yoruba language or the English language. Your task is to identify the language of the input sentence. Input sentences should be in Yoruba or English language and also it cannot have ... | English | 1 | NIv2 | task1621_menyo20k-mt_en_yo_language_identification | zs_opt | [
0.29603689908981323,
0.7343772649765015,
-0.12373663485050201,
0.04617945849895477,
0.2146359384059906,
-0.7915072441101074,
-0.0870862752199173,
0.35961034893989563,
0.41987937688827515,
-0.2686980962753296,
0.2635706961154938,
-0.2130212038755417,
-0.44649970531463623,
-0.928325116634368... |
Q: We would like you to assess the QUALITY of each of the following argument (discussing Gun Control) 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 gun control. ... | Valid | 7 | NIv2 | task150_afs_argument_quality_gun_control | zs_opt | [
0.007115151733160019,
0.6604874134063721,
0.7513406276702881,
-0.4222661852836609,
-0.25628745555877686,
-1.6277339458465576,
0.967346727848053,
0.6790765523910522,
0.42357534170150757,
0.46259698271751404,
-0.3922075033187866,
-0.36784836649894714,
-0.5646121501922607,
0.00761125143617391... |
instruction:
Given a post that is a real-life anecdote of a complex ethical situation and a question asks if AUTHOR, NOBODY, EVERYBODY, or OTHER is wrong in the situation. Answer the question and classify your answers into yes or no.
question:
Is AUTHOR wrong in the post ? POST : I found this out a week ago
Best frien... | no
| 9 | NIv2 | task502_scruples_anecdotes_whoiswrong_verification | fs_opt | [
0.5299656391143799,
-0.04530040919780731,
-0.08471212536096573,
0.3121557831764221,
0.21323323249816895,
-1.1615016460418701,
0.7323099970817566,
0.5536655783653259,
-0.1859533190727234,
0.1998557597398758,
-0.15629373490810394,
0.2625638246536255,
-0.38672640919685364,
0.1682194620370865,... |
Q: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to de... | Yes | 7 | NIv2 | task1203_atomic_classification_xreact | zs_opt | [
0.1572604775428772,
0.2551111876964569,
0.5554479956626892,
-0.42989206314086914,
-0.3937453627586365,
-1.0599212646484375,
1.175976276397705,
0.3186257779598236,
-0.3817934989929199,
-0.7501544952392578,
-0.2612224221229553,
-0.04622018709778786,
-0.8580788373947144,
0.4293350875377655,
... |
Instructions: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. If the conversation begins with a question, label it '1' otherwise '0'.
Input: Person1: Well , that's all for the interview . Thank you for your interest in this job .
Person... | 0 | 3 | NIv2 | task1534_daily_dialog_question_classification | zs_opt | [
-0.3088795840740204,
0.5738649368286133,
-0.2414407730102539,
-0.06381590664386749,
0.17367637157440186,
-0.30046576261520386,
0.186075359582901,
-0.2250133752822876,
-0.3034650981426239,
0.16213537752628326,
-0.6428608894348145,
-0.5816699862480164,
0.08087187260389328,
-0.058938384056091... |
Detailed Instructions: Given a sentence in English language, translate the sentence to Somali language keeping the meaning of the original sentence intact
Problem:English sentence: 20 Of fowls after their kind, and of cattle after their kind, of every creeping thing of the earth after his kind, two of every sort shall ... | 20 Haadda caynkooda, iyo xoolaha caynkooda, iyo wax kasta oo dhulka gurguurta caynkooda, cayn walba laba ka mid ihi ha kuu soo galeen, si ay u sii noolaadaan. | 8 | NIv2 | task446_opus_paracrawl_en_so_translation | zs_opt | [
-0.34688499569892883,
0.6522583961486816,
-0.05124324932694435,
0.02166696824133396,
-0.5065582990646362,
-0.7585728168487549,
0.5053878426551819,
0.39170658588409424,
-0.06480443477630615,
-0.3389289379119873,
-0.08767731487751007,
1.0148375034332275,
-1.8897912502288818,
-0.0424835346639... |
instruction:
This task involves annotating the answer type to a given question that involve some kind of complex reasoning (including numerical reasoning). Note that the questions require looking at more than one part of the passage to answer. There are 3 possible answer types (i) spans, (ii) numbers and (iii) dates. I... | number
| 9 | NIv2 | task027_drop_answer_type_generation | fs_opt | [
0.5425867438316345,
0.2211846113204956,
-0.3980902433395386,
-0.06939708441495895,
0.5568438172340393,
-0.7067205309867859,
0.6168793439865112,
0.8040533065795898,
0.0724799782037735,
0.4230758547782898,
0.2337712049484253,
1.0136297941207886,
-0.6606441736221313,
-0.1339532732963562,
-0... |
In this task the focus is on physical knowledge about the world. Given the provided goal task in the input, describe a process that would lead to the asked outcome. This process often involves physical motions with objects, such as moving them, arranging them in a certain way, mixing them, shaking them, etc.
Q: How t... | Cut off collar and arms of one shirt leaving only the mid-section, attach another cut-out midsection and sew to the other midsection to create the skirt section of the dress. Use the arms of the shirt to create straps to hold dress up on shoulders.
****
| 4 | NIv2 | task080_piqa_answer_generation | fs_opt | [
-0.2036438137292862,
0.696109414100647,
-0.5474526882171631,
0.2876099944114685,
-0.5721498131752014,
-0.7496441006660461,
-0.5338817834854126,
0.6189830899238586,
-0.2180803418159485,
0.09107054769992828,
-0.710265576839447,
0.5538045167922974,
-0.43930694460868835,
0.18659992516040802,
... |
Teacher:In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the alphabetical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no alphabetical element is in the list.
Teac... | 3 | 6 | NIv2 | task506_position_of_all_alphabetical_elements_in_list | zs_opt | [
0.15854647755622864,
0.36462724208831787,
0.09837037324905396,
-1.1278321743011475,
0.10855047404766083,
-0.17631298303604126,
1.302283525466919,
0.21870090067386627,
-0.46900707483291626,
0.06972135603427887,
-0.1430874466896057,
-0.27643096446990967,
-0.07094582915306091,
-0.796642899513... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
Ex Input:
バクに関する情報はほぼ皆無という状況でしたバクの観察・研究が難しいことが大きな要因です
Ex Output:
و در آن زمان ، اطلاعاتمان در رابطه با تایپرها تقریباً صفر بود ، بیشتر به خاطر اینکه مطالعه شان واقعاً مشکل است.
Ex Input:
感謝の気持ちはこのように起こるのです
Ex Output:... | مایکل سندل: بیشترین نفع برای همه.
| 1 | NIv2 | task1098_ted_translation_ja_fa | fs_opt | [
-1.0596553087234497,
-0.8148350715637207,
-0.5380294322967529,
0.036047495901584625,
-0.2474643737077713,
-0.045859359204769135,
1.1634069681167603,
0.21793785691261292,
0.5965585708618164,
-0.21950547397136688,
-0.7158875465393066,
0.34502410888671875,
-0.27191901206970215,
0.986733436584... |
Instructions: Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. ... | Does the culture site of the gallbladder affect recovery of bacteria in symptomatic cholelithiasis? | 3 | NIv2 | task845_pubmedqa_question_generation | zs_opt | [
0.5104286074638367,
0.12800107896327972,
-0.9370065927505493,
0.5916435718536377,
0.4987095892429352,
-0.15513288974761963,
0.4214792549610138,
0.7957279682159424,
0.15016210079193115,
0.009286240674555302,
-0.3498386740684509,
0.5185819864273071,
-0.5817420482635498,
0.5469963550567627,
... |
instruction:
Here are two questions (Question1 and Question2). If these questions have the same meaning and same answer, answer "Yes", otherwise "No".
question:
Question1: Is there any way to scrape data from a LinkedIn public profile?, Question2: Is scraping LinkedIn public data for data analysis legal?
answer:
No
q... | No
| 9 | NIv2 | task1287_glue_qqp_paraphrasing | fs_opt | [
-0.7908951640129089,
-0.24533340334892273,
-0.0034862153697758913,
-0.34529781341552734,
-0.09607565402984619,
-0.0061676986515522,
0.7243431806564331,
0.433158278465271,
-0.3557741641998291,
0.08008356392383575,
-0.12117739766836166,
-0.517212986946106,
-0.30167701840400696,
-0.1117518469... |
Given a sentence in German, provide an equivalent paraphrased translation in Korean that retains the same meaning both through the translation and the paraphrase.
Q: Es liegt neben dem Weiler Hickstead, westlich von Burgess Hill und neben der Hauptstraße A23 von London nach Brighton.
A: | Burgess Hill의 서쪽, 런던에서 Brighton까지 주요 도로 A23에 인접한 Hickstead의 작은 마을 옆에 위치하고 있습니다. | 4 | NIv2 | task802_pawsx_german_korean_translation | zs_opt | [
-0.23802824318408966,
0.3806922435760498,
0.1133572906255722,
-0.43087828159332275,
0.15194587409496307,
-0.8349422812461853,
0.14579224586486816,
-0.22388236224651337,
0.4246982932090759,
-0.8075209856033325,
-0.0288548544049263,
0.31328311562538147,
0.23300567269325256,
0.266618549823761... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
Ex Input:
Nie jestem związana ze Stanami Zjednoczonymi, nie z wszystkimi 50 stanami, niezupełnie.
Ex Output:
من هیچ ارتباطی با ایالات متحده ندارم ، با هیچ یک از ۵۰ ایالات آن واقعا ارتباطی ندارم.
Ex Input:
Zrobiłam sobie tat... | می توانیم آن را به انواع خیره کننده ای از مواد تبدیل کنیم دارو ، لباس های جدید لپ تاپ ، و گستره ی کاملی از چیزهای مختلف
| 1 | NIv2 | task1263_ted_translation_pl_fa | fs_opt | [
-0.010554002597928047,
0.1573077142238617,
-0.13761508464813232,
0.293745219707489,
-1.002397060394287,
-0.44473302364349365,
1.1784178018569946,
0.4046844244003296,
0.3699093461036682,
0.34071528911590576,
0.023683827370405197,
1.1304131746292114,
-0.480848491191864,
0.22167646884918213,
... |
Teacher:In this task, you're given a statement, the genre to which that statement belongs, and a label indicating if the statement should be agreed with (entailment), disagreed with (contradiction), or neither (neutral). Your job is to write a sentence that describes the genre that follows the tone with respect to the ... | The Clean Air Act is a part of title V | 6 | NIv2 | task203_mnli_sentence_generation | zs_opt | [
-1.2574641704559326,
0.5996785759925842,
0.15281562507152557,
-0.7083402872085571,
0.028716621920466423,
-0.23469533026218414,
-0.1313902735710144,
0.3126600980758667,
0.26574185490608215,
0.060310423374176025,
0.011710384860634804,
-0.36649996042251587,
-0.9436087608337402,
-0.17155028879... |
In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.
Ex Input:
First, we introduce a two-stage labeling strategy for sentiment texts. In the first stage, annotator... | What translationese effects are seen in the analysis?
| 1 | NIv2 | task461_qasper_question_generation | fs_opt | [
-1.2289721965789795,
-0.6004049777984619,
0.15937739610671997,
0.314797580242157,
0.14695271849632263,
-0.4386288523674011,
-0.10380707681179047,
0.9484436511993408,
-0.1330905258655548,
0.5073964595794678,
-0.19189265370368958,
-0.28983503580093384,
-0.14218619465827942,
0.159303575754165... |
instruction:
In this task, you are given a text which is the body of a document. You are given a question and options. Pick the correct number. Don't generate anything else apart from the numbers provided in options.
question:
Context: Luther High School is a parochial school located in Onalaska Wisconsin. It is associ... | 2
| 9 | NIv2 | task633_dbpedia_14_answer_generation | fs_opt | [
0.4334823191165924,
0.7586080431938171,
-0.5065455436706543,
0.5909008979797363,
-0.25828757882118225,
0.15510894358158112,
0.17624568939208984,
1.1497254371643066,
-0.11637409031391144,
0.27434873580932617,
0.057965800166130066,
0.19710972905158997,
-0.8085107803344727,
-0.117929086089134... |
In this task, you're given an article, a question which often contains a blank and four options (associated with "A", "B", "C", "D"). Your task is to find the correct answer (from the given options) for the question from the given article and return one of the options from "A", "B", "C", and "D". Do not generate anythi... | D | 9 | NIv2 | task309_race_answer_generation | fs_opt | [
0.1948726624250412,
-0.17481443285942078,
-0.36736178398132324,
-0.3683105707168579,
0.050317712128162384,
-0.8269343376159668,
1.3288795948028564,
1.0215216875076294,
-0.41550248861312866,
-0.028511663898825645,
-0.5735189318656921,
-0.09208302199840546,
0.15065988898277283,
0.39188179373... |
Given the task definition and input, reply with output. In this task, you are given music product reviews in Japanese language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
ナイスでホットな女！マリリン・モンロー . 思わずマリリンみたい... | POS | 5 | NIv2 | task487_cls_japanese_music_classification | zs_opt | [
-0.6552215814590454,
-0.34542858600616455,
-0.3326129913330078,
0.2865387201309204,
0.644324541091919,
-0.5985388159751892,
0.44894176721572876,
-0.03481486812233925,
0.1416647583246231,
0.3028765320777893,
-0.7447986006736755,
-0.6150010824203491,
-0.046105191111564636,
-0.240850806236267... |
Instructions: In this task, you are given a sentence in Persian, and your task is to translate it into English.
Input: تجربیات من به دو دوره «قبل از بارسلونا» و «بعد از بارسلونا» تقسیم میشود.
Output: | I have a "before Barcelona" experience and a "during Barcelona" experience. | 3 | NIv2 | task662_global_voices_fa_en_translation | zs_opt | [
0.04011905938386917,
0.06854615360498428,
-0.3453369736671448,
0.4580196738243103,
-0.19600117206573486,
0.48225128650665283,
0.8981219530105591,
0.23574179410934448,
0.8099395036697388,
-0.16120997071266174,
-0.2985715866088867,
0.528089165687561,
-0.507022500038147,
0.4831772446632385,
... |
A text is given in Gujarati. Translate it from the Gujarati language to the Marathi language. The translation must not omit or add information to the original sentence.
One example is below.
Q: मंत्रिमंडळातील माझे सहकारी श्रीयुत जे
A: કેબિનેટ જેજેમાં મિસ્ટર એકાઉન્ટ
Rationale: Correct translation for given sentence. Inp... | શ્રી શેખર દાસ, નિર્દેશક | 9 | NIv2 | task984_pib_translation_marathi_gujarati | fs_opt | [
-0.5119088292121887,
0.7794564366340637,
-0.07408912479877472,
0.030613917857408524,
0.5209934711456299,
-1.0743780136108398,
-0.4028565287590027,
-0.22680720686912537,
-0.6322763562202454,
-0.13621309399604797,
0.08121681213378906,
-0.6774770617485046,
-1.008751630783081,
0.37271100282669... |
Teacher:In this task, you will be presented with a question having multiple possible answers in Dutch language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Teacher: Now, understand the problem? Solve this instance: Question: Wat kan men beter doen... | C | 6 | NIv2 | task1133_xcsr_nl_commonsense_mc_classification | zs_opt | [
0.05432592332363129,
0.24522855877876282,
0.08056176453828812,
-0.23541739583015442,
-0.4968441128730774,
-0.23576869070529938,
0.1902516931295395,
0.6788539290428162,
0.5076495409011841,
-0.6417799592018127,
-0.052140891551971436,
0.08845198154449463,
-0.12072911858558655,
-0.196202561259... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Os nenos medran e convértense en adultos coma vós.
子供は成長して皆さんみたいな大人になるということです
Semella razoable.
もっともです
INCRA non publicaría soamente as súas avaliacións, tamén os seus indicadores e metodoloxía.
| INCRAは格付け評価を公開するだけでなくその方法や指針となる要因も公開しますその方法や指針となる要因も公開します
| 0 | NIv2 | task1239_ted_translation_gl_ja | fs_opt | [
-0.8163299560546875,
0.44874197244644165,
-0.17006005346775055,
-0.478270947933197,
-0.35174620151519775,
-0.8017690181732178,
0.6109012961387634,
0.11803142726421356,
-0.2920895218849182,
-0.5290349721908569,
-0.08330097794532776,
0.35348543524742126,
-1.2195460796356201,
0.30792343616485... |
Given the task definition and input, reply with output. Given a sentence in the Japanese and Central Khmer language. Your task is check if the Khamer sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: 「今、重要なことはシエラレオネがこの目的を実現するために必要な資金提... | No | 5 | NIv2 | task1123_alt_ja_khm_answer_generation | zs_opt | [
-0.5136228799819946,
0.35283929109573364,
0.019449997693300247,
0.033934686332941055,
-0.19249430298805237,
-0.8646301031112671,
0.5955023765563965,
0.5001935362815857,
-0.5914478898048401,
-0.25119417905807495,
0.07276589423418045,
0.2803935110569,
-1.1931759119033813,
0.49245181679725647... |
TASK DEFINITION: In this task, you are given a Reddit post as a text. Your task is to generate a short summary for this text. The summary must include a situation which caused humor. The summary should be one or two sentences long.
PROBLEM: Text: this fu happened two months ago but has been haunting me since. a few mon... | joked about leading seal team, got ass chewed by highest ranking officer in unit.
| 8 | NIv2 | task511_reddit_tifu_long_text_summarization | fs_opt | [
0.10784675180912018,
0.012618711218237877,
-0.5660592317581177,
-0.5948516130447388,
0.2770583927631378,
-0.2343592345714569,
0.7402658462524414,
1.0789129734039307,
-0.2027917206287384,
-0.013576602563261986,
-0.35318464040756226,
0.13625164330005646,
-0.6191518306732178,
0.20572125911712... |
Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Japanese.
Input: یک مربی باشید.
Output: | 相談相手になるのです | 3 | NIv2 | task1266_ted_translation_fa_ja | zs_opt | [
-0.6708799004554749,
0.02302202396094799,
-0.7941601276397705,
-0.6843032836914062,
-0.40938377380371094,
0.18850818276405334,
0.5265647768974304,
-0.11831705272197723,
1.0605204105377197,
-0.28519997000694275,
-1.5766346454620361,
-0.21280169486999512,
-0.2445099800825119,
0.4860997200012... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.
One example: Bueno, yo digo nada, pero en realidad hay una unidad de investigación muy, muy pequeña en Turín, Italia, llamada Proyecto de Perfiles de Hackers.
Solution is here: خوب ، من چیزی نمیگم ، اما در واقع یک واحد تحقیقا... | این شیوه نبرد او بود. | 6 | NIv2 | task1103_ted_translation_es_fa | fs_opt | [
-0.36401060223579407,
0.5046602487564087,
-0.45782601833343506,
-0.21934235095977783,
-0.33434373140335083,
-0.19955487549304962,
0.5613350868225098,
0.7488162517547607,
-0.37953320145606995,
-0.5084381103515625,
-0.48864665627479553,
0.5746363401412964,
-0.2948177456855774,
-0.27064734697... |
In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to determine which two sentences need to be swapped sentences in order to make a story that makes complete sense and is befittingly titled. Indicate your answer using the numbers of the two sentences in order... | 35 | 8 | NIv2 | task218_rocstories_swap_order_answer_generation | fs_opt | [
-0.14531029760837555,
-0.01948682591319084,
-0.051934175193309784,
0.15412014722824097,
0.12227307260036469,
-0.04681374132633209,
0.06622998416423798,
0.8523788452148438,
0.01761000044643879,
0.4152342677116394,
-0.7278081178665161,
0.10400936007499695,
-0.8028707504272461,
-0.00067547627... |
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: Consider Input: സ്ത്രീശാക്തീകരണം പ്രധാനമന്ത്രി മുദ്രായോജനയുടെ കീഴില് പരമാവധി നേട്ടമുണ്ടാക്കിയത് സ്ത്രീകളാണ്.
Output: प्रधानमंत्री मुद्रा यो... | Output: ‘मेड इन इंडिया उत्पादन’ ही आपलं प्राधान्य का असू नये?
| 2 | NIv2 | task1071_pib_translation_malayalam_marathi | fs_opt | [
0.005076494999229908,
0.6205539107322693,
-0.6135916709899902,
-0.2850643992424011,
0.03313890099525452,
-0.6146310567855835,
-0.14125649631023407,
0.8340770602226257,
0.6750541925430298,
0.4771948456764221,
-1.3157864809036255,
0.047694042325019836,
-0.5600243210792542,
-0.309868365526199... |
Detailed Instructions: In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify given passage into two categories: (1) "yes" if the given context is useful in answering the question, and (2) "no" if the given context is not useful.
See one example belo... | no | 4 | NIv2 | task242_tweetqa_classification | fs_opt | [
-0.7173318862915039,
0.33790475130081177,
0.343394935131073,
0.29042142629623413,
-0.2677713632583618,
-0.39185360074043274,
0.3830670416355133,
0.332607626914978,
0.5925165414810181,
0.4206821024417877,
-0.2962304949760437,
-0.42933446168899536,
0.028879577293992043,
0.15543101727962494,
... |
Given news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news headlines into "Funny" and "Not Funny" that have been modified by humans using an edit word to make them funny.
Example in... | Funny | 3 | NIv2 | task495_semeval_headline_classification | fs_opt | [
0.023796765133738518,
0.43971550464630127,
0.2175048291683197,
-0.07423055171966553,
-0.29889196157455444,
-0.4708537757396698,
0.513142466545105,
0.9667097330093384,
-0.13839122653007507,
0.1274142563343048,
-0.7935581803321838,
-0.5027670860290527,
-0.6115177869796753,
0.0363186970353126... |
Given a set of four words, generate the category that the words belong to. Words are separated by commas. The possible categories are social gathering, accomodation, physical property, measurement unit, corporate, nutritional value, boats, police punishment, location (proximity), card games, outdoor sport activity, mil... | date status
| 0 | NIv2 | task143_odd-man-out_classification_generate_category | fs_opt | [
0.2785073220729828,
0.08720964193344116,
-0.2913912236690521,
0.36941760778427124,
0.25379595160484314,
-0.3081849217414856,
-0.38718411326408386,
0.6218202114105225,
0.12409158051013947,
0.02440398931503296,
-0.2763189673423767,
-0.18435557186603546,
-0.1987254023551941,
-0.32529687881469... |
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 short poem which is written by a kid. Your task is to predict if the kid is in elementary school or high school. Anyone who is from grade 1st to 6th-grade will be considered as in ele... | high | 0 | NIv2 | task1712_poki_classification | fs_opt | [
0.6281712055206299,
0.8654308319091797,
0.3730640709400177,
-0.6369816064834595,
-0.03462694585323334,
-0.6059913039207458,
0.6542845964431763,
1.1986056566238403,
0.13539201021194458,
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-0.26363909244537354,
-0.08240176737308502,
-0.25045061111450195,
-0.13530522584915... |
Definition: You are given a science question (easy-level) and four answer options (associated with "A", "B", "C", "D"). Your task is to find the correct answer based on scientific facts, knowledge, and reasoning. Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'. There is only ... | D | 2 | NIv2 | task228_arc_answer_generation_easy | zs_opt | [
0.09693710505962372,
0.5093073844909668,
-0.4906405210494995,
-0.827216386795044,
-0.5777226686477661,
-0.304818719625473,
0.9498535990715027,
-0.2202708125114441,
0.23549135029315948,
-0.7837594747543335,
-0.42390304803848267,
0.6833446025848389,
-0.13638043403625488,
0.11954351514577866,... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.
[EX Q]: Mi tiempo record, que era un record mundial, era de 15.77 segundos.
[EX A]: سریع ترین زمان من ، که رکورد جهان بود ، 15.77 بود.
[EX Q]: Se ve el pelo rojo, y no se si pueden ver aquí su piercing en la naríz.
[EX A]: ... | و دلیلش این اشت که اگر بخواهیم یک جهان داشته باشیم ، این جهان نمی تواند بر پایه جیبهای گشاد محرومیت ، و بعد پر پول برای برخی باشد.
| 6 | NIv2 | task1103_ted_translation_es_fa | fs_opt | [
-0.2267409712076187,
0.9627287983894348,
0.036962464451789856,
-0.2923447787761688,
-0.7379549741744995,
0.3056238889694214,
-0.46561548113822937,
1.2421151399612427,
0.3163950443267822,
0.09618210792541504,
-1.0076143741607666,
-0.18566693365573883,
-0.20605148375034332,
-0.18557953834533... |
Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.
Q: ... | Neither | 4 | NIv2 | task904_hate_speech_offensive_classification | zs_opt | [
-0.6152665615081787,
0.7269595861434937,
0.39305201172828674,
0.5313137173652649,
-0.004444894380867481,
-0.7065458297729492,
0.007715960033237934,
1.1769264936447144,
0.8236385583877563,
0.2812981605529785,
-0.12604284286499023,
-0.5013344287872314,
-0.5314242839813232,
-1.151212334632873... |
Your task is to generate the next utterance in a given dialogue. You will be given a few sentences describing the personality of the person who is making the dialogue, and a history of the dialogue after that. Each line in the history is said by one of the two participants in the conversation.
One example: Personality:... | Hardcore! My mother was a dancer, I am also a ballerina. Good workout! | 6 | NIv2 | task1729_personachat_generate_next | fs_opt | [
-0.09472325444221497,
0.11330264806747437,
-0.28906887769699097,
-0.1821296215057373,
-0.012841695919632912,
0.7593183517456055,
0.5812877416610718,
0.10184913873672485,
0.2743801474571228,
-0.8129330277442932,
0.26311904191970825,
0.28347247838974,
-0.6735972166061401,
0.4703529477119446,... |
Instructions: In this task, you are given a conversation between a flight agent and the customer. You are given 4 options and you need to select the goal of the conversation. It is provided as part of customer's context, which has to be one of the following: `book`: Make a new reservation, `cancel`: Cancel an existing ... | no_reservation | 3 | NIv2 | task573_air_dialogue_classification | zs_opt | [
-0.06620901823043823,
0.2618919610977173,
-0.2766094505786896,
-0.7066830992698669,
0.33357614278793335,
0.16140702366828918,
0.8741422891616821,
0.2893827259540558,
0.06602385640144348,
0.566010057926178,
0.3011434078216553,
-0.21956685185432434,
-0.5361016988754272,
-0.19314797222614288,... |
Detailed Instructions: In this task your given two statements in Swahili. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Q: Muziki ulikuwa dhaifu sana kusikia.
Nili... | effect | 9 | NIv2 | task1175_xcopa_commonsense_cause_effect_sw | zs_opt | [
-0.3643154203891754,
0.6967899203300476,
-0.03707700967788696,
-0.5213719010353088,
-0.5061858892440796,
-0.4272364377975464,
0.8369095325469971,
0.7943536043167114,
0.7672830820083618,
-0.3791778087615967,
-0.39237332344055176,
-0.137430340051651,
-1.047650694847107,
-0.012769972905516624... |
In this task, you will be presented with a question in Dutch language, and you have to write the part-of-speech tag for each word and punctuation in the question. Here is the list of part-of-speech tags used in this task: Adj: Adjective, Adv: Adverb, Art: Article, Conj: Conjunction, Int: Interjection, N: Noun, V: Verb,... | N N Punc Art N Pron Pron N Adv Prep V V Prep Art N N Prep Art N N Punc V Prep Art N Adv Prep Art N N N Punc | 4 | NIv2 | task1543_conll2002_parts_of_speech_tagging_answer_generation | zs_opt | [
-0.33564579486846924,
1.0221725702285767,
0.2485320270061493,
-0.2998318672180176,
0.1011258065700531,
0.3889177441596985,
0.44772690534591675,
0.03316029906272888,
0.24389898777008057,
-0.2760452330112457,
-0.32630133628845215,
0.3831314742565155,
-0.7578906416893005,
0.12435127794742584,... |
Q: 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 t... | no | 7 | NIv2 | task361_spolin_yesand_prompt_response_classification | zs_opt | [
-0.29931849241256714,
0.45340821146965027,
0.702383279800415,
-0.004201461095362902,
-0.053692013025283813,
-0.7222833037376404,
0.2768496870994568,
0.8875659108161926,
0.16784009337425232,
-0.07972566038370132,
-0.6569876670837402,
-0.07962802052497864,
-0.6213423013687134,
0.193219631910... |
Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels (reason) = [NO_DIFF (co... | Solution: ['UNKNOWN_TYPE_DIFF', 'UNKNOWN_TYPE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_... | 5 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | fs_opt | [
0.5073225498199463,
-0.11309274286031723,
-0.06829845160245895,
-0.19521160423755646,
0.31881624460220337,
-0.5288985967636108,
0.11433064937591553,
0.9465163946151733,
-0.2787410616874695,
0.3237462639808655,
-0.19891703128814697,
-0.5442577600479126,
-0.4962509274482727,
0.12426789104938... |
You are given a statement written in Kannada. 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 .
[Q]: Statement: ಆನೆಗಳು ತಾವು ನಡೆದಾಡುವ ಹಾದಿಯಲ್ಲಿ ಗಿಡಮರಗಳನ್ನು ನಿವಾರಿಸಿ ಕಾಲುದಾರಿಯನ್ನು ನಿರ್ಮಿಸುವುವು. ಅರಣ್ಯದ ದುರ್ಗಮ ಪ್ರ... | ಭಾರತ
| 5 | NIv2 | task948_wiki_cloze_kn_multiple_choice_question_answering | fs_opt | [
0.7205445766448975,
0.7812449932098389,
-0.09259745478630066,
-0.19019731879234314,
0.40510883927345276,
-0.3881932497024536,
0.8680108189582825,
1.2249317169189453,
-0.2217371016740799,
0.04387780278921127,
-0.1056390106678009,
0.4478048086166382,
-0.24809816479682922,
-0.3775165677070617... |
Given the task definition and input, reply with output. You are given a paragraph, a question and some answer options (associated with "A", "B", "C", "D", etc.) You need to list all the correct answer options with their associated letters (e.g. "A" can be a valid answer). Note that sometimes, more than one option can a... | B, D, G. | 5 | NIv2 | task058_multirc_question_answering | zs_opt | [
-0.10846030712127686,
0.6233820915222168,
-0.7053585648536682,
-0.09141872823238373,
0.23164641857147217,
-0.38968396186828613,
0.5273200273513794,
0.7789891362190247,
-0.28407734632492065,
0.3449423313140869,
-0.41199246048927307,
0.45297178626060486,
-0.13289110362529755,
0.1152889207005... |
Given the task definition and input, reply with output. In this task, you are given a sentence in Persian, and your task is to translate it into English.
خانم اسکيتزر شرمنده ام که بگم آرايشگر ما امروز از اينجا رفت .
| mrs . skitzer , i am afraid our stylist is out today . | 5 | NIv2 | task659_tep_fa_en_translation | zs_opt | [
-1.1552318334579468,
1.0072325468063354,
-0.3172796368598938,
0.0022489558905363083,
-0.3344919681549072,
-0.17546603083610535,
-0.3174804151058197,
-0.14392322301864624,
0.9059505462646484,
0.21762189269065857,
-0.4797344207763672,
0.9356429576873779,
-0.2748548984527588,
0.67115414142608... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.
[EX Q]: Questi sono anche proprio quello che i computer hanno appena imparato a fare.
[EX A]: São também as coisas que os computadores aprenderam a fazer.
[EX Q]: Sono indicatori che vi danno una migliore lettura dello ... | Quando as pessoas pensam nas cidades, têm a tendência para pensar em certas coisas.
| 6 | NIv2 | task1255_ted_translation_it_pt | fs_opt | [
-0.6804212331771851,
0.9184278249740601,
-0.13040287792682648,
-0.11310823261737823,
-0.3494563102722168,
-0.292125403881073,
0.34885913133621216,
1.5636320114135742,
0.33211928606033325,
-0.13220399618148804,
-0.6521201729774475,
0.17317034304141998,
0.00874900072813034,
0.602559804916381... |
In this task, you are given sentences from movie reviews. The task is to classify a sentence as "POS" if the sentiment of the sentence is positive or as "NEG" if the sentiment of the sentence is negative
Example: It 's a lovely film with lovely performances by Buy and Accorsi .
Example solution: POS
Example explanation... | Solution: POS | 5 | NIv2 | task363_sst2_polarity_classification | fs_opt | [
-0.8435899615287781,
0.35930073261260986,
0.38865524530410767,
0.08293163031339645,
0.01936580054461956,
-0.769932210445404,
0.6952062249183655,
0.2131553292274475,
0.1393536478281021,
0.2543738782405853,
-0.7277621030807495,
-0.6628485321998596,
0.4365845322608948,
0.33937180042266846,
... |
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
| 1 | NIv2 | task1198_atomic_classification_owant | fs_opt | [
0.3246396780014038,
0.3892053961753845,
0.1351350098848343,
0.06766745448112488,
-0.5481946468353271,
-0.4868987500667572,
1.3401765823364258,
0.10325409471988678,
-0.5097223520278931,
-0.35358375310897827,
-0.2627270221710205,
-0.4304478168487549,
-0.8422966003417969,
0.2579546570777893,
... |
You will be given a definition of a task first, then some input of the task.
You are given a list of queries separated by new line. Your job is to answer with the query that is the most well-formed or well-structured query in terms of grammar, punctuations, or spelling errors.
Millhow many liters in a kilometer ?
How ... | How do floods have an impact on humans ? | 1 | NIv2 | task675_google_wellformed_query_sentence_generation | zs_opt | [
0.09790395200252533,
0.09231962263584137,
-0.035686515271663666,
-0.18112707138061523,
0.053808942437171936,
0.02644234523177147,
0.34784460067749023,
0.2118719220161438,
-0.29910433292388916,
-0.26128247380256653,
-0.21081045269966125,
-0.574599027633667,
-0.1134948581457138,
-0.205632358... |
Given the task definition, example input & output, solve the new input case.
The input is a sentence with a missed word and an emotion. Your task is to fill in the blank with a word that matches the emotion and rewrite the completed sentence. The emotion is one of ['fear', 'joy', 'anger', 'sadness'].
Example: SENTENCE:... | The conversation with Justin was heartbreaking. | 1 | NIv2 | task1339_peixian_equity_evaluation_corpus_text_completion | fs_opt | [
-0.31512343883514404,
0.17264676094055176,
0.20894156396389008,
-0.25204119086265564,
0.17777593433856964,
-0.1775561273097992,
0.9951783418655396,
0.6221576929092407,
0.14277559518814087,
0.1624927818775177,
0.25112780928611755,
-0.20559464395046234,
0.030055135488510132,
0.44409644603729... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with... | Yes | 1 | NIv2 | task066_timetravel_binary_consistency_classification | zs_opt | [
-0.4553287923336029,
0.40730607509613037,
0.1614619940519333,
0.07740716636180878,
0.04483581334352493,
0.13294464349746704,
0.6984401941299438,
0.7411203384399414,
0.10671966522932053,
-0.2203441560268402,
-0.06643803417682648,
-0.3083690106868744,
-0.24243561923503876,
-0.122934266924858... |
Instructions: In this task, you are given a sentence from the Bible in English, and your task is to translate it into Persian.
Input: And thou shalt speak unto the children of Israel, saying, If a man die, and have no son, then ye shall cause his inheritance to pass unto his daughter.
Output: | و چون آن را دیدی تو نیز به قوم خودملحق خواهی شد، چنانکه برادرت هارون ملحق شد. | 3 | NIv2 | task655_bible_en_fa_translation | zs_opt | [
0.00274924049153924,
1.1018190383911133,
-0.4891669452190399,
-0.5716554522514343,
-0.5718972682952881,
0.028213316574692726,
0.9305691719055176,
0.5358554124832153,
0.8188254833221436,
0.6808398962020874,
0.051875047385692596,
0.7260993719100952,
-0.9678466320037842,
0.2009836733341217,
... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Sentence 2 contradicts sentence 1. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to c... | The woman is giving a speech. | 9 | NIv2 | task185_snli_contradiction_to_neutral_text_modification | fs_opt | [
-0.4097684919834137,
0.7521841526031494,
0.6524978876113892,
-0.6852396726608276,
0.21411702036857605,
-0.4413391947746277,
-0.23270399868488312,
0.9125057458877563,
0.3548593819141388,
-0.3182029724121094,
-0.7451080679893494,
-0.4627689719200134,
-0.7524799108505249,
-0.5225009918212891,... |
TASK DEFINITION: Given a post that is a real-life anecdote of a complex ethical situation and an associated claim about its type, verify if the claim is true or not. The claim asks if the posts are historical or hypothetical. The posts are "HISTORICAL" when the author has already done something and they are "HYPOTHETIC... | yes
| 8 | NIv2 | task501_scruples_anecdotes_post_type_verification | fs_opt | [
0.11843690276145935,
0.3803051710128784,
0.20597845315933228,
0.1330166608095169,
0.08176621794700623,
-0.4558391869068146,
1.034076452255249,
1.1575243473052979,
-0.1480637788772583,
-0.31942152976989746,
0.11235858500003815,
0.762696385383606,
-0.656075119972229,
-0.06790338456630707,
... |
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 | task1201_atomic_classification_xintent | zs_opt | [
0.16577130556106567,
0.44159770011901855,
0.4781841039657593,
-0.377941370010376,
-0.7431222200393677,
-1.0018590688705444,
1.337968111038208,
0.26345306634902954,
-0.7871862053871155,
-0.6105939745903015,
-0.4981628358364105,
-0.459064245223999,
-0.7919187545776367,
0.5213643312454224,
... |
In this task, the input is a set of dialogues between a user and an assistant. You need to find the dialogue that is basically a response given to a question or an aspect of the user.
Let me give you an example: Hi. I want information about Namibia.
Nmbia is a country in southern Africa.
Do you have information ab... | The population in Hyderabad increased by 87%, from the 2001 census to the 2011 census, 24% of which are migrants from elsewhere in India. | 8 | NIv2 | task576_curiosity_dialogs_answer_generation | fs_opt | [
0.22893527150154114,
0.3257335424423218,
-0.018789570778608322,
-0.032672036439180374,
-0.3559015989303589,
-0.23638156056404114,
0.24811841547489166,
0.5680206418037415,
0.019950322806835175,
0.4603237807750702,
-0.8935108184814453,
0.1901606172323227,
-0.7226752042770386,
-0.148322477936... |
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* the special characters as suited when translating to Cr... | Stolovi nisu kvadratni.
| 1 | NIv2 | task1365_opustedtalks_translation | fs_opt | [
-0.24857324361801147,
0.39066219329833984,
-0.5784260034561157,
0.5609345436096191,
0.012180197983980179,
-0.7022039294242859,
0.5565308332443237,
0.18670512735843658,
-0.5676112174987793,
-0.09294091165065765,
0.07707662135362625,
0.04510357975959778,
-0.7194642424583435,
0.18644744157791... |
This task is to translate a news commentary statement given in German language into Spanish 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.
Input: Consider Input: Man könnte meinen, dass Men... | Output: Por supuesto, este tipo de consideraciones podrían tener escasa influencia en los precios.
| 2 | NIv2 | task1373_newscomm_translation | fs_opt | [
-0.10341351479291916,
1.082249641418457,
-0.16196607053279877,
0.02215290628373623,
-0.08876724541187286,
-0.6895723938941956,
1.0746784210205078,
1.3072474002838135,
0.3412935137748718,
0.3025403618812561,
-0.3982539772987366,
0.5356847047805786,
-0.7823097705841064,
-0.6936869621276855,
... |
In this task, you have to generate the title of the recipe given its required ingredients and directions.
ingredients: '1 (2 lb) london broil beef', '1 lb sliced portabella mushroom', '2 cups dry red wine', '1/2 cup fresh parsley, minced', '1 teaspoon crushed dried rosemary', '3 cloves garlic', '2 tablespoons shallot... | Kerala Fried Fish
| 0 | NIv2 | task569_recipe_nlg_text_generation | fs_opt | [
0.6871440410614014,
0.04655146598815918,
-0.7471381425857544,
0.4198659658432007,
0.6702073812484741,
0.06724343448877335,
0.6072942018508911,
0.8543116450309753,
-0.5896261930465698,
-0.3979456424713135,
0.35235264897346497,
-0.030808834359049797,
-0.5202018022537231,
0.18804800510406494,... |
Given the task definition and input, reply with output. In this task, you are given a sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
English: The first of Bird'... | No | 5 | NIv2 | task437_alt_en_ja_answer_generation | zs_opt | [
-1.0070325136184692,
0.3147106468677521,
0.6415473222732544,
-0.2168016880750656,
-0.051231399178504944,
0.08534504473209381,
0.4871841073036194,
0.5662562847137451,
0.18514248728752136,
-0.18402664363384247,
-0.10914839804172516,
0.42818954586982727,
-0.7276480197906494,
0.174119412899017... |
Instructions: In this task, positions of two consecutive words have been swapped. You need to output the position of the swaped words. e.g. in the sentence 'Seattle has nice a weather', the word 'a' and 'nice' have been swapped. These words are at 3rd and 4th position respectively. So, the output should be (3, 4). Note... | (8, 9) | 3 | NIv2 | task089_swap_words_verification | zs_opt | [
-0.029712263494729996,
0.7186628580093384,
-0.2539374828338623,
-0.6198981404304504,
0.2934451401233673,
-0.6086850762367249,
0.22064688801765442,
0.14413651823997498,
0.4289892315864563,
-0.038317956030368805,
-0.19456243515014648,
-0.4427375793457031,
0.09299308806657791,
-0.066228203475... |
You will be given a definition of a task first, then some input of the task.
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.
['q', '2477', '4091', 'O', 'g', 'N', '2519', '7771', '8363', 'A', 'r', 's', 'F', '9075']
Output: | 34296 | 1 | NIv2 | task499_extract_and_add_all_numbers_from_list | zs_opt | [
-0.4511931538581848,
0.8716154098510742,
-0.09899711608886719,
-0.6381272077560425,
0.0719301700592041,
-0.492595374584198,
0.25422173738479614,
-0.7949243187904358,
-0.40204569697380066,
0.4629705250263214,
-0.7357515692710876,
0.09096136689186096,
-0.10446866601705551,
-0.734176814556121... |
In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators:
1. count: returns the number of rows in the view
2. only: returns wheth... | select the rows whose model record fuzzily matches to aptus ii 10 . take the seconds frame record of this row . select the rows whose model record fuzzily matches to aptus ii 12 . take the seconds frame record of this row . the first record is less than the second record . | 0 | NIv2 | task110_logic2text_sentence_generation | zs_opt | [
0.19767305254936218,
-0.16364753246307373,
-0.3198342025279999,
0.12385284900665283,
-0.016143038868904114,
-0.37727251648902893,
0.5359002351760864,
0.3992736339569092,
0.11527598649263382,
-0.1448974609375,
-0.6977566480636597,
-0.29970893263816833,
0.1566869020462036,
0.5967098474502563... |
Part 1. Definition
In this task, you are given a sentence in the english language. Here, your job is to convert english sentence into the bulgarian language.
Part 2. Example
Membership of Parliament: see Minutes
Answer: Състав на Парламента: вж. протоколи
Explanation: English sentence is converted into bulgarian senten... | Вторият въпрос засяга подкрепата за поблизкото сътрудничество между националните съвети за радио- и телевизионно разпространяване и европейските институции, за да се осигури подобро прилагане на разпоредбите за публичната услуга. | 7 | NIv2 | task272_europarl_translation | fs_opt | [
0.26150429248809814,
0.6076020002365112,
0.43443024158477783,
0.2692875266075134,
0.5806465148925781,
0.42462319135665894,
1.8515920639038086,
-0.40469589829444885,
0.3298133611679077,
-0.20408977568149567,
-0.2993537187576294,
0.5415228605270386,
-0.533565878868103,
0.18149593472480774,
... |
Detailed Instructions: Given a sentence in Somali language, translate the sentence to English language keeping the meaning of the original sentence intact
See one example below:
Problem: Somali sentence: Lionel Messi waa ciyaaryahanka ugu weyn kubadda cagta abid
Solution: Lionel Messi is the greatest football player of... | What about someone who covers his face against the terrible misery of the Day of Resurrection? To the evildoers it will be said, â Taste what you used to earn.â | 4 | NIv2 | task450_opus_paracrawl_so_en_translation | fs_opt | [
-0.5562422871589661,
0.8873637914657593,
-0.35578489303588867,
-0.21829545497894287,
-0.23660314083099365,
-0.7208362817764282,
-0.05897018685936928,
0.7495559453964233,
0.36337244510650635,
-0.0682922899723053,
0.01590331830084324,
1.2327897548675537,
-0.9968893527984619,
0.05227111652493... |
Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third is when an individual has a ... | red_pantry
| 0 | NIv2 | task152_tomqa_find_location_easy_noise | fs_opt | [
0.23105952143669128,
-0.2853192687034607,
-0.670571506023407,
0.0823947936296463,
-0.44285425543785095,
-0.8076750636100769,
0.1938071846961975,
0.33529797196388245,
-0.14674139022827148,
-0.3991430401802063,
-0.3446198105812073,
0.6764472126960754,
-0.08734974265098572,
0.0473987050354480... |
Definition: In this task, you will be shown a conversation and a question. You need to answer the question and choose the correct option based on the conversation. "W" and "M" in the conversations stand for "woman" and "man".
Input: M: I'm thinking about where to go for a bite tonight. Any suggestions, Barbara? W: Well... | (A) She is tired of the food in the canteen. | 2 | NIv2 | task247_dream_answer_generation | zs_opt | [
0.2938574552536011,
0.1604149043560028,
-0.6409770250320435,
-0.5598030686378479,
-0.07240304350852966,
0.03468971699476242,
0.31381821632385254,
0.06641051173210144,
0.7050991058349609,
-0.150750994682312,
-0.11593178659677505,
-0.7009139060974121,
0.18473279476165771,
0.15459612011909485... |
In this task, you are given two statements. The task is to output whether a given textual premise, i.e. Statement 2, entails or implies a given scientific fact, i.e. Statement 1. The output should be 'entails' if Statement 2 supports Statement 1 and should be 'neutral' otherwise.
Example: Sentence 1: The sum of all che... | Solution: entails | 5 | NIv2 | task1554_scitail_classification | fs_opt | [
0.5181083679199219,
0.4616255462169647,
-0.05626107007265091,
-0.1426103413105011,
-0.26240280270576477,
-0.6676921248435974,
-0.4057791531085968,
0.9812021851539612,
0.021426979452371597,
-0.46162471175193787,
-1.0214953422546387,
-0.5266425013542175,
-0.48847895860671997,
-0.242674171924... |
This task is about translating a given English language sentence to Spanish.
Ex Input:
It has one component, one in the x direction and zero in the y direction. e2 is this one.
Ex Output:
Cuenta con una componente, uno en la dirección x y cero en la dirección y. E2 es éste.
Ex Input:
And how would we view that?
Ex... | - Si
| 1 | NIv2 | task1691_qed_amara_translation | fs_opt | [
-0.17338792979717255,
0.24516242742538452,
0.18650516867637634,
0.3542226552963257,
0.11504935473203659,
-0.23884499073028564,
-0.05112997442483902,
1.644787073135376,
0.276799738407135,
-0.19311153888702393,
-0.2536633014678955,
0.18224367499351501,
0.0670635849237442,
-0.5660389065742493... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Japanese.
A maior parte das pessoas fugiram para o estrangeiro.
Output: | 多くの人は海外へ脱出しました。 | 1 | NIv2 | task1275_ted_translation_pt_ja | zs_opt | [
-0.4754936695098877,
0.8002328872680664,
-0.02405747026205063,
-0.2726842164993286,
-0.0681547224521637,
0.24081163108348846,
0.1333046853542328,
0.38226935267448425,
0.2706783413887024,
-0.3898131251335144,
-0.7727951407432556,
-0.0536864772439003,
-0.869242250919342,
0.6826519966125488,
... |
In this task, you're given a statement, the genre to which that statement belongs, and a label indicating if the statement should be agreed with (entailment), disagreed with (contradiction), or neither (neutral). Your job is to write a sentence that describes the genre that follows the tone with respect to the statemen... | The IOLTA fund usually pays back 10 percent of the total earnings to those banks. | 4 | NIv2 | task203_mnli_sentence_generation | zs_opt | [
-0.48685866594314575,
0.7236136198043823,
-0.13821104168891907,
-0.004009319003671408,
0.04425301030278206,
-0.0002164721954613924,
-0.5840947031974792,
0.7940788865089417,
0.3328453302383423,
-0.24525214731693268,
-0.06255196034908295,
-0.48333895206451416,
-0.7902845740318298,
0.34556928... |
In this task, you are given a question in English, and your task is to translate it into Persian.
[Q]: I am a 25 year old girl and I don't have a boyfriend. I am not beautiful and most of my friends have boyfriends. When I see that they are in love I feel lonely. What should I do to have a boyfriend?
[A]: من یک دختر ۲... | چند موضوع برای یک مقاله ساده چیست؟
| 5 | NIv2 | task652_parsinlu_en_fa_translation | fs_opt | [
-0.8004735708236694,
0.6337988376617432,
-0.3621903657913208,
-0.7200683355331421,
-0.5373814702033997,
-0.7670783400535583,
0.91302490234375,
0.3869764506816864,
0.22961845993995667,
0.3177845776081085,
0.07894864678382874,
0.3871925175189972,
-0.4827412962913513,
-0.021820303052663803,
... |
instruction:
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).
question:
El subapartado de Camboya se añade por tanto al apartado "Derechos humanos" , lo cual ha... | I should also like to say that, in my view, what would be most effective would be for Parliament to call for proposals from, respectively, the Development Council and the Commissioner for Development. In that way, we should perhaps have a basis for discussion, instead of receiving proposals from all the governments and... | 9 | NIv2 | task531_europarl_es_en_translation | fs_opt | [
0.2660411596298218,
0.16570353507995605,
-0.23265235126018524,
-0.1581084132194519,
-0.29244324564933777,
-0.8253033757209778,
1.6292078495025635,
-0.18073594570159912,
-0.10773678123950958,
-0.04680009186267853,
-0.6878883838653564,
0.6337840557098389,
-0.910285234451294,
0.19070187211036... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the alphabetical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no alphabetical element is in the list.
--------
Que... | 1, 3, 4, 5
| 7 | NIv2 | task506_position_of_all_alphabetical_elements_in_list | fs_opt | [
-0.12291667610406876,
0.3803744912147522,
-0.2618331015110016,
-0.47641852498054504,
0.13584992289543152,
-0.46039921045303345,
0.9083378314971924,
0.4044058918952942,
-0.7149186134338379,
0.3957138657569885,
-0.5204071998596191,
0.03963722288608551,
-0.3887900412082672,
-0.068475231528282... |
In this task, you will be presented with the directions of a recipe separated by "," and have to fill in the "___" which is a step that is missing from the recipe.
Input: Consider Input: Combine flour, eggs, olive oil, salt and pepper in the b owl of a food processor. Whirl in short bursts until dough comes together, ... | Output: Preheat toaster oven or oven to 400 degrees F (200 degrees C).
| 2 | NIv2 | task572_recipe_nlg_text_generation | fs_opt | [
0.3400685489177704,
0.3514632284641266,
-0.408108651638031,
0.7787069082260132,
0.0613212063908577,
0.1957138478755951,
0.46948742866516113,
1.0658447742462158,
-0.7233179807662964,
-0.0011742787901312113,
0.0984133929014206,
0.5112050771713257,
0.12798956036567688,
-0.1843998283147812,
... |
Detailed Instructions: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Q: The movie itself made me want to go and call someone so they could enjoy it too. It was extremely funny. Angelena Jolie was wonderf... | positive | 9 | NIv2 | task284_imdb_classification | zs_opt | [
-0.5737435817718506,
0.932398796081543,
-0.21877866983413696,
0.45630377531051636,
0.2114478200674057,
0.002483657095581293,
0.6552096605300903,
0.8107306957244873,
0.08656924217939377,
-0.15142112970352173,
0.22299891710281372,
-0.22796906530857086,
-0.3617347776889801,
-0.308408975601196... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
(Aplausos) Sam, por que non lle dis a esta xente como é estar afectado de proxeria?
(Aplausos) Sam, ¿por qué no les cuentas a estas personas cómo es sufrir de la condición conocida como progeria?
Ten a miña idade e está... | Este libro se publicó en 1904.
| 0 | NIv2 | task1240_ted_translation_gl_es | fs_opt | [
-0.3541828393936157,
0.8087406754493713,
-0.23690371215343475,
-0.6827199459075928,
0.02724001184105873,
-0.9717763066291809,
0.014411588199436665,
0.8641122579574585,
0.6833218932151794,
0.10361316800117493,
-0.5645347237586975,
0.06302987039089203,
-0.635378897190094,
-0.2133003473281860... |
Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.
[Q]: However, it's fairly common for a DUI conviction to wash out after five, seven, or ten years. Example: Ernie is ... | Humans will not survive another 1,000 years on 'fragile' Earth, according to Professor Stephen Hawking.
| 5 | NIv2 | task870_msmarco_answer_generation | fs_opt | [
-0.4369194507598877,
0.25511303544044495,
-0.41492876410484314,
-0.4567795991897583,
0.34782421588897705,
-0.6291579008102417,
0.204646497964859,
1.2469713687896729,
0.5906032919883728,
0.34074926376342773,
-0.0630151778459549,
-0.2040332853794098,
-0.38647493720054626,
0.2477249801158905,... |
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 concatenate all elements of A from the ith element to the jth element, and print the resultant string. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j... | Output: Av3649b
| 2 | NIv2 | task100_concatenate_all_elements_from_index_i_to_j | fs_opt | [
-0.03595343232154846,
0.020561162382364273,
-0.3376652002334595,
-0.1273956596851349,
-0.2027529627084732,
-0.5971612930297852,
0.4614453911781311,
0.1905449479818344,
-0.44666650891304016,
0.22976528108119965,
-0.914657711982727,
-0.12697014212608337,
0.25966495275497437,
-0.0326960384845... |
A text is given in English. Translate it from the English language to the Malayalam language. The translation must not omit or add information to the original sentence.
Example Input: മുന് വര്ഷത്തെ അപേക്ഷിച്ച്ഓരോ മാസവും 50 ശതമാനത്തില് താഴെ മാത്രംയാത്രക്കാരുള്ള ട്രെയിനുകളിലേയ്ക്ക് പദ്ധതി വ്യാപിപ്പിക്കും.
Example Out... | Sergey Lavrov Minister of Foreign Affairs of Russian Federation Smt.
| 3 | NIv2 | task1022_pib_translation_malayalam_english | fs_opt | [
-0.8922854661941528,
-0.05916743725538254,
-0.3736903667449951,
-0.40092429518699646,
0.14102189242839813,
0.009616455063223839,
0.20545558631420135,
0.5736026763916016,
0.1947287917137146,
0.41174954175949097,
-0.04330051690340042,
0.420936644077301,
-0.16817906498908997,
0.14817604422569... |
Definition: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
Input: Comment: way to go Whinnie bri... | Threat | 2 | NIv2 | task322_jigsaw_classification_threat | zs_opt | [
-0.36482173204421997,
0.8628354072570801,
0.7059295773506165,
0.29417234659194946,
0.04328383132815361,
-0.4775368869304657,
1.395580530166626,
0.67664635181427,
0.4119502305984497,
0.4159814119338989,
-0.012257418595254421,
0.46498623490333557,
-1.02860426902771,
-0.5653596520423889,
0.... |
This task is to translate a news commentary given in Dutch language into Portuguese 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.
Wanneer asielzoekers de Europese kusten bereiken zou de E... | Quando aqueles que buscam asilo chegassem à costa europeia, a UE deveria assumir a responsabilidade financeira e administrativa de recebê-los e acomodá-los, independentemente de ondem desembarcassem. | 0 | NIv2 | task1375_newscomm_translation | zs_opt | [
-0.4458012878894806,
0.44370824098587036,
0.026822317391633987,
-0.4043712615966797,
-0.43622612953186035,
-0.1128842830657959,
0.30898118019104004,
0.7620954513549805,
0.44514167308807373,
0.3426061272621155,
-0.08045434206724167,
0.5945277810096741,
-0.4765052795410156,
-0.11148997396230... |
Definition: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
Input: Número quatro: O ativo mais poderoso da era digital são dados.
Output: | رقم أربعة: البيانات هي أكثر أصل فعّال في العصر الرقمي. | 2 | NIv2 | task1277_ted_translation_pt_ar | zs_opt | [
-0.6068315505981445,
0.7723879814147949,
-0.47795793414115906,
-0.7102257609367371,
-0.7524275779724121,
0.5069754123687744,
0.6639642119407654,
0.73533034324646,
0.9632858037948608,
0.3944573998451233,
-0.6239075660705566,
0.11294294893741608,
-0.6134263277053833,
-0.571556031703949,
0.... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the numerical elements in the given list. Return 0 if no numerical element in the list.
Q: ['B', 'z', '3123', 'u', 'N', '1727', 'a', '7677', '1237', 'j', '4709', 'g', '94... | 11 | 4 | NIv2 | task505_count_all_numerical_elements_in_list | zs_opt | [
-0.7941659688949585,
0.5093348026275635,
-0.4093005955219269,
-0.9450533390045166,
0.3876572847366333,
-0.46318480372428894,
0.9078200459480286,
-0.2177295833826065,
-0.7262123823165894,
0.4597683548927307,
-1.014127254486084,
0.5676352381706238,
0.3587055206298828,
-0.05094774067401886,
... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a review from Amazon and rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good. Your task is to generate whether the rating ... | True | 1 | NIv2 | task1311_amazonreview_rating_classification | fs_opt | [
-0.09715311229228973,
0.3981859087944031,
-0.10683374106884003,
0.44280487298965454,
0.15375924110412598,
-0.2187725454568863,
0.8308396339416504,
0.9057391881942749,
-0.04081737995147705,
0.30924081802368164,
-0.36100083589553833,
0.26997053623199463,
-0.407577246427536,
-0.18684768676757... |
Given a sentence in the Central Khmer, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Ex Input:
"ខ្ញុំគិតថា វាសំខាន់ណាស់ក្នុងការទុកឲ្យអ្នកស៊ើបអង្កេតធ្វើការងាររបស់ពួកគេ មុននឹងឈានដល់ការវិនិច្ឆ័យដ៏ច្រើនបែបនេះ។"
Ex Output:
「様々な結論... | ミャンマーのイラワジ・デルタのまわりのマングローブの森が、食糧生産の自給自足を確実にする方法として政府によって推進された、水田の「過剰開発」と土地転換によって退化したことが分かった。
| 1 | NIv2 | task1122_alt_khm_ja_translation | fs_opt | [
0.18326404690742493,
-0.4967428147792816,
-0.5012248158454895,
0.1066942885518074,
-0.12991857528686523,
-0.9893049001693726,
0.20367786288261414,
0.8424318432807922,
-0.9618939161300659,
0.27003389596939087,
-0.48396044969558716,
0.013692979700863361,
-0.696166455745697,
0.598154664039611... |
Teacher:Given a sentence in German, generate a new German 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... | Ein PDF kann direkt mathematisch aussehen. | 6 | NIv2 | task416_mickey_de_sentence_perturbation_generation | zs_opt | [
-0.43567970395088196,
0.6203252673149109,
0.2839692234992981,
-0.9924605488777161,
-0.07788632065057755,
-0.33733344078063965,
1.0808393955230713,
1.342505693435669,
0.3217073678970337,
-0.6663554906845093,
-0.3983539640903473,
0.322969913482666,
-0.9113384485244751,
-0.2931530475616455,
... |
Definition: Given a sentence in the Sinhala language, translate it into the English language.
Input: වියළි පදික වේදිකාවල සති කීපයක් බයිසිකලය පැදීමෙන් ඒවා ගෙවී යා හැකිය.
Output: | Such studs can wear out within a few weeks of cycling on dry pavement. | 2 | NIv2 | task601_flores_translation_sntoen | zs_opt | [
0.13506734371185303,
0.311764121055603,
-0.16958826780319214,
-0.48879021406173706,
0.0878305435180664,
-0.8683079481124878,
0.22044894099235535,
0.719022274017334,
0.1691686064004898,
0.5835233926773071,
0.5417498350143433,
0.8465930223464966,
0.2669319212436676,
-0.08782315999269485,
-... |
Q: In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to return one of the emotions which are expressed by the Character in the given sentence. F... | None | 7 | NIv2 | task293_storycommonsense_emotion_text_generation | zs_opt | [
-0.2612560987472534,
0.21605755388736725,
0.2268000841140747,
-0.6305627226829529,
-0.07337762415409088,
-0.21970927715301514,
1.091369867324829,
0.9432494640350342,
0.21492278575897217,
-0.046608489006757736,
0.1795654296875,
-0.26357224583625793,
-0.5992056131362915,
-0.04357860237360000... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Craft one correct answer to the question given in input. To make it more interesting, try to use non-stereotypical language if possible. Make sure your correct answer is reasonably long, consistent w... | They are honest . | 0 | NIv2 | task024_cosmosqa_answer_generation | fs_opt | [
0.7125810384750366,
0.8694548606872559,
-0.22758707404136658,
0.4421156644821167,
-0.2275555580854416,
-0.347475528717041,
0.7768923044204712,
0.7429534196853638,
-0.5028612017631531,
-0.6007615327835083,
-0.3120967745780945,
0.2972217798233032,
-0.7989891171455383,
-0.029737789183855057,
... |
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Farsi.
Problem:ובכן, זה בגדר חלום.
Solution: | خوب ، این است که بر اساس آرمان است | 8 | NIv2 | task1113_ted_translation_he_fa | zs_opt | [
-0.25406742095947266,
1.5072839260101318,
0.3031548261642456,
-0.7727099061012268,
-0.493604838848114,
0.5191211700439453,
0.8805884718894958,
0.09013283252716064,
0.35264158248901367,
-0.4934927821159363,
-0.6703608632087708,
0.33090662956237793,
0.007852574810385704,
-0.3617323935031891,... |
Part 1. Definition
In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write your... | Jason want(s) to visit >Motivates> Jason visits | 7 | NIv2 | task747_glucose_cause_emotion_detection | fs_opt | [
0.47997578978538513,
-0.0744943916797638,
-0.7426179051399231,
0.2697940170764923,
-0.3437158167362213,
-0.7746082544326782,
0.6853518486022949,
0.7404255867004395,
-0.3983174264431,
-0.3430548310279846,
-0.5602339506149292,
0.2226051390171051,
-0.028733428567647934,
-0.44685786962509155,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a statement and three sentences as choices. Your job is to determine which sentence can be inferred from the statement. Incorrect choices change the meaning in important ways or have details that are not mentioned in... | 2 | 1 | NIv2 | task200_mnli_entailment_classification | zs_opt | [
-0.16181641817092896,
0.32107841968536377,
-0.2667308747768402,
-0.21627289056777954,
0.1903950572013855,
0.1765369176864624,
0.38255077600479126,
0.5510287880897522,
-0.3072701692581177,
0.09523206949234009,
-0.1236133724451065,
-0.37374866008758545,
-0.17041125893592834,
-0.2263532131910... |
In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to determine which two sentences need to be swapped sentences in order to make a story that makes complete sense and is befittingly titled. Indicate your answer using the numbers of the two sentences in order... | 42
****
| 4 | NIv2 | task218_rocstories_swap_order_answer_generation | fs_opt | [
-0.1866939663887024,
-0.11096303164958954,
-0.5666069984436035,
0.37843894958496094,
0.033716388046741486,
-0.8999553322792053,
0.15456172823905945,
1.2361526489257812,
-0.6823323965072632,
0.27481716871261597,
-0.9650896787643433,
0.25094738602638245,
-0.6405011415481567,
-0.4032814204692... |
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