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 |
|---|---|---|---|---|---|---|
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into English.
Problem:実物大X線写真をどうやって撮影しているかが分かります
Solution: | And this shows how I do my process of same-size X-rays. | 8 | NIv2 | task1222_ted_translation_ja_en | zs_opt | [
-0.05604114383459091,
-0.5272741317749023,
-0.3964461386203766,
-0.36050865054130554,
-0.06964720040559769,
-0.11511643975973129,
0.5590997934341431,
0.5099821090698242,
-0.2980450987815857,
-0.8691966533660889,
-0.22470584511756897,
-0.4613463580608368,
-0.12333053350448608,
0.85835897922... |
Detailed Instructions: In this task you will be given a list of numbers and you need to subtract every value in the list with the index it is at. The index of an elements shows its numerical order in the list(for example, in the list [7,10,4,5], the index of 7 is 1 and the index of 4 is 3) You should start the index a... | [-13, -6, -14, -15, -12] | 9 | NIv2 | task096_conala_list_index_subtraction | zs_opt | [
0.2380666434764862,
0.34928232431411743,
-0.6757786870002747,
-0.262897789478302,
0.2270316481590271,
-0.4135926365852356,
1.4280790090560913,
0.2042972594499588,
0.3706091642379761,
-0.41803574562072754,
-0.17070640623569489,
-0.17272914946079254,
-0.3256031274795532,
0.4282219409942627,
... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given a list of dictionaries. A dictionary is a set of key-value pairs, where each key is unique and has a value associated with that key. You should sort the list of dictionaries from smallest to largest by their 'fir... | [{'first': -87, 'second': 59}, {'first': -65, 'second': -77}, {'first': -10, 'second': -24}, {'first': 1, 'second': 25}, {'first': 14, 'second': -76}, {'first': 50, 'second': -78}, {'first': 59, 'second': -10}, {'first': 63, 'second': 2}] | 1 | NIv2 | task123_conala_sort_dictionary | zs_opt | [
0.143019899725914,
-0.4156922399997711,
-0.18871399760246277,
0.19092720746994019,
0.6170487403869629,
-0.13677439093589783,
0.6325408220291138,
0.8831901550292969,
-0.10740093886852264,
-0.13634079694747925,
-0.6252793669700623,
-0.6289116144180298,
-0.42061683535575867,
-0.09188668429851... |
Teacher:You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Polish.
Teacher: Now, understand the problem? Solve this instance: Foi isso que realmente os levou a mudar de comportamento.
Student: | To właśnie przez to zmienili swoje zachowanie. | 6 | NIv2 | task1281_ted_translation_pt_pl | zs_opt | [
-0.3229717016220093,
0.6455055475234985,
-0.23616886138916016,
-0.7021270394325256,
-0.9274568557739258,
-0.878153920173645,
0.7925637364387512,
0.11902963370084763,
0.8894975185394287,
-0.6025614738464355,
-0.020083781331777573,
0.033283449709415436,
-0.5894518494606018,
-0.26857793331146... |
TASK DEFINITION: In this task, you're given five sentences, numbered 1 through 5, and two options a and b for possible titles for the story. Your job is to choose the title that better fits the story. Indicate your choice by 'a' or 'b'.
PROBLEM: Sentence 1: Tom needed to buy a new car. Sentence 2: He hated dealing with... | b
| 8 | NIv2 | task220_rocstories_title_classification | fs_opt | [
0.27893775701522827,
-0.018990060314536095,
-0.12281261384487152,
-0.25695425271987915,
0.3446134328842163,
-0.21060986816883087,
0.32830601930618286,
1.3311954736709595,
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0.0513584278523922,
-0.7197573184967041,
0.3075144588947296,
0.09613615274429321,
-0.4431929588317... |
TASK DEFINITION: In this task, you are given two sentences in Persian separated with <sep>, and you have to determine whether the sentences are paraphrases or not. Classify your answers into "paraphrase" and "not-paraphrase".
PROBLEM: هزینه استقرار وای فای تجاری از گفته سیسکو یا آروبا چقدر است؟ <sep> چرا وای فای من از ... | not-paraphrase
| 8 | NIv2 | task465_parsinlu_qqp_classification | fs_opt | [
-0.4145030975341797,
0.32494229078292847,
-0.2651066184043884,
-0.14970912039279938,
-0.558514416217804,
0.5150004625320435,
1.4200999736785889,
0.797970175743103,
0.43902257084846497,
0.028027009218931198,
-0.22740939259529114,
-0.39757317304611206,
-0.4026795029640198,
0.1095928922295570... |
Q: In this task, you are given an input list A. If the count of numbers is more than that of alphabets in the list, answer 'Numbers Win'. If the count of alphabets is more than that of numbers in the list, answer 'Alphabets Win'. If the count of numbers is same as that of alphabets in the list, answer 'Numbers and Alph... | Alphabets Win | 7 | NIv2 | task523_find_if_numbers_or_alphabets_are_more_in_list | zs_opt | [
-0.2138841599225998,
0.5425323247909546,
-0.3676295578479767,
-0.23246626555919647,
-0.42621952295303345,
-1.103930950164795,
0.642087459564209,
-0.2702997326850891,
0.14310204982757568,
0.5056732296943665,
-0.9068889617919922,
-0.05410677194595337,
-0.17829899489879608,
0.0482716709375381... |
TASK DEFINITION: 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.
PROBLEM: Sentence1: Meg couldn't find her favorit... | A
| 8 | NIv2 | task296_storycloze_correct_end_classification | fs_opt | [
0.24362975358963013,
0.5343654751777649,
-0.7635889053344727,
-0.6160926818847656,
0.045639198273420334,
-0.3450709581375122,
0.35481277108192444,
0.8174746036529541,
-0.18003863096237183,
-0.03410453721880913,
-0.5110355615615845,
-0.31888699531555176,
-0.24560850858688354,
-0.31743007898... |
In this task, you are given two simple actions (associated with "A", "B"). You must identify which action is considered less ethical. Do not generate anything else apart from one of the following characters: 'A', 'B'.
--------
Question: (A) asking for a raise to keep working my per diem job
(B) regularly studying in a ... | B
| 7 | NIv2 | task106_scruples_ethical_judgment | fs_opt | [
-0.39872533082962036,
0.4671517312526703,
0.1590854525566101,
-0.5290521383285522,
-0.6444405317306519,
0.07745738327503204,
0.20961108803749084,
0.331421434879303,
0.1512165069580078,
-0.032209109514951706,
-0.39214450120925903,
-0.4503517150878906,
-0.4484463334083557,
-0.454968810081481... |
You will be given a definition of a task first, then some input of the task.
Given a part of privacy policy text, identify the type of personal information which is collected, used, tracked or retained. The type of information should be present inside the given policy text, answer as 'Not Specified' otherwise
An unnam... | Demographic | 1 | NIv2 | task684_online_privacy_policy_text_information_type_generation | zs_opt | [
-0.6228893995285034,
0.16847847402095795,
-0.20171469449996948,
0.037311848253011703,
-0.694658637046814,
-0.4655744135379791,
0.539810299873352,
0.19061115384101868,
0.12287285178899765,
0.6087936758995056,
0.043909721076488495,
-0.24148547649383545,
-0.23272153735160828,
-0.9099246263504... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Japanese.
One example is below.
Q: كان الأمر كزيارة أكثر عصور البراءة على كوكب الأرض
A: 地球が今よりも無垢だった時代を訪れたかのようでした
Rationale: The Arabic sentence is correctly translated into Japanese, because the meaning is preserved.
Q: مجدداً ، وجه ... | またもや大規模な飢餓に直面しています 900万人以上の人が翌日の生活を心配しています | 9 | NIv2 | task1231_ted_translation_ar_ja | fs_opt | [
-0.3835231065750122,
0.4151965081691742,
-0.08734689652919769,
-0.548367977142334,
-0.8482036590576172,
-0.6143935918807983,
0.6155176162719727,
-0.48715725541114807,
-0.10841585695743561,
-0.01464737206697464,
-0.7018591165542603,
-0.008285367861390114,
-0.8225055932998657,
0.680120468139... |
Detailed Instructions: In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
Q: [945, -599, 376, 821, 242]
A: | [940, -600, 380, 820, 240] | 9 | NIv2 | task373_synthetic_round_tens_place | zs_opt | [
-0.7517302632331848,
0.787758469581604,
0.2070332020521164,
-0.40342462062835693,
-0.7036845684051514,
-0.015503071248531342,
0.881507933139801,
-0.7292613983154297,
-0.1412169635295868,
0.5390880703926086,
-0.9048674702644348,
0.42175719141960144,
-0.08474373817443848,
0.5302883386611938,... |
Instructions: In this task you will be given a list of numbers. You should remove any number that is not an integer (whole number). If every number is not an whole number then an empty list ("[]") should be returned. Otherwise, answer with the list of whole numbers separated by comma inside brackets.
Input: [75.436, -1... | [-73, 19] | 3 | NIv2 | task367_synthetic_remove_floats | zs_opt | [
0.025031087920069695,
0.6604991555213928,
-0.3044484257698059,
-0.5220175981521606,
-0.16064520180225372,
-0.2748787999153137,
0.9207053184509277,
0.28183650970458984,
-0.07299507409334183,
0.29921412467956543,
-0.6854795217514038,
0.3561018705368042,
0.1204846203327179,
-0.336259990930557... |
instruction:
In this task, you will be presented with a question having multiple possible answers in Hindi language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
question:
Question: भले ही उसने जवाब दिया कि उसने ईमेल प्राप्त करने वाले को क्या किया?... | B
| 9 | NIv2 | task1134_xcsr_hi_commonsense_mc_classification | fs_opt | [
-0.20396429300308228,
0.41891321539878845,
0.04846835508942604,
-0.02518337592482567,
-0.27646398544311523,
-0.9685196876525879,
0.9654241800308228,
0.46257373690605164,
-0.06060934066772461,
-0.42547500133514404,
-0.14954736828804016,
0.8112589120864868,
-0.18676601350307465,
-0.418049156... |
In this task, you are given an article. Your task is to summarize the article in a sentence.
Q: The dental suite, in the back of a van, has provided treatment three days a week to NHS patients in Machynlleth since November.
Warren Tolley, Powys Teaching Health Board's (THB) clinical director of dentistry, said it could... | A mobile dental surgery is offering treatment to patients in a Powys town after its permanent dentist left. | 4 | NIv2 | task1290_xsum_summarization | zs_opt | [
-0.06785555183887482,
0.9282952547073364,
-0.3370787501335144,
-1.3539772033691406,
0.4559122920036316,
-0.9343365430831909,
-0.278553307056427,
0.24493162333965302,
-0.07544535398483276,
0.19002655148506165,
0.5070403814315796,
0.2702088952064514,
0.6078284978866577,
-0.2069300413131714,
... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Spanish.
See one example below:
Problem: With economic growth, countries and societies enter into a virtuous cycle of upward mobility, opportunity and improved living standards.
Solution: Con el crecimiento, l... | Como una manera para sobrevivir me metía en mi propio espacio personal y construía cosas. | 4 | NIv2 | task1219_ted_translation_en_es | fs_opt | [
-0.6853033304214478,
0.6167811751365662,
0.24342229962348938,
-0.08927485346794128,
-0.14321428537368774,
0.11979012936353683,
-0.2354164868593216,
0.942029595375061,
-0.49810099601745605,
0.0053555965423583984,
-0.6451908349990845,
0.2836868166923523,
-0.8145256042480469,
-0.3023380041122... |
Given the task definition and input, reply with output. In this task, you are given an input list A. If the count of numbers is more than that of alphabets in the list, answer 'Numbers Win'. If the count of alphabets is more than that of numbers in the list, answer 'Alphabets Win'. If the count of numbers is same as th... | Numbers Win | 5 | NIv2 | task523_find_if_numbers_or_alphabets_are_more_in_list | zs_opt | [
-0.1885949969291687,
0.6076294183731079,
-0.267956405878067,
-0.04113601893186569,
-0.49558326601982117,
-0.44781970977783203,
0.5863207578659058,
-0.712647557258606,
-0.05142294988036156,
0.09618637710809708,
-0.9067850112915039,
0.36907821893692017,
-0.37004587054252625,
0.04795908182859... |
Definition: Translation from English to Telugu.
Input: We're safe.
Output: | మేము సురక్షితంగా ఉంటాయి. | 2 | NIv2 | task1330_open_subtitles_en_te_translation | zs_opt | [
1.0220404863357544,
0.9421733021736145,
-0.35701435804367065,
0.43334871530532837,
0.3369210958480835,
-1.2844443321228027,
-0.08950941264629364,
-0.0668184906244278,
0.8099205493927002,
0.3182836174964905,
-0.6224442720413208,
0.7564730644226074,
-0.693662166595459,
-0.5935972929000854,
... |
Definition: Generate an explanation for the given claim using the provided supporting material from the paragraph. Please consider the following points while generating an output. 1) The claim will always have supporting proof in the paragraph, and the paragraph will have a clear point of view supporting the claim. 2) ... | A million doses of a potential COVID-19 vaccine being developed by British scientists are already being manufactured and will be available by September, even before trials prove whether the shot is effective, the team said on Friday. | 2 | NIv2 | task1369_healthfact_sentence_generation | zs_opt | [
0.0990917831659317,
0.6466866135597229,
-0.14699673652648926,
0.19528479874134064,
0.5840944051742554,
-0.4525841474533081,
-0.301547646522522,
0.9231235384941101,
-0.07292879372835159,
0.4938644766807556,
-0.540404200553894,
0.26135265827178955,
-0.036192599684000015,
0.18820780515670776,... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Portugese.
Problem:できるだけ早くやってみます
Solution: | Vou jogar o mais depressa que posso. | 8 | NIv2 | task1099_ted_translation_ja_pt | zs_opt | [
0.07587599009275436,
0.8987698554992676,
0.22391188144683838,
-0.33332061767578125,
-0.43580830097198486,
0.08490109443664551,
-0.48372602462768555,
0.5962267518043518,
0.40611732006073,
-0.08120530098676682,
-0.6595773696899414,
0.20567509531974792,
-0.20260722935199738,
0.074439138174057... |
In this task you will be given a list of strings and you need to concatenate them.
Let me give you an example: ['a', 'b', 'c']
The answer to this example can be: abc
Here is why: The strings 'a', 'b', 'c', got concatenated into the string 'abc'. So this is a good example.
OK. solve this:
['and', 'Z', 'those', 'O', 'h... | andZthoseOhadjonePQme,zB | 8 | NIv2 | task079_conala_concat_strings | fs_opt | [
0.30075639486312866,
1.0070233345031738,
-0.7409349083900452,
-0.7023654580116272,
0.2885986566543579,
-1.0744582414627075,
0.5122244358062744,
0.06759621202945709,
-0.04092693328857422,
0.0777282565832138,
-0.4252934753894806,
-0.3801739811897278,
-0.636557400226593,
-0.8090130090713501,
... |
Teacher:In this task, you are given a sentence in the English language from the various articles. Your task is to translate the given English sentence into the Yoruba language. Please bear in mind the following guidelines while doing the translation: 1) Generated output should have natural language and formal form. The... | A kì í gbọ́ ẹjọ́ ẹnìkan dájọ́. | 6 | NIv2 | task1619_menyo20k-mt_en_yo_translation | zs_opt | [
-0.06182938441634178,
0.5180714726448059,
0.3175164759159088,
-0.09766128659248352,
0.054150570183992386,
-0.2386394441127777,
0.37045013904571533,
0.4719350337982178,
-0.12726135551929474,
-0.7019003033638,
0.18835106492042542,
-0.15345045924186707,
-0.45568007230758667,
0.001145340502262... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
(Śmiech) Opublikował wiele filmów o przyrodzie.
Solution: (Risate) E infatti aveva già pubblicato tanti... | la gente stessa diventasse il protettore della foresta. | 0 | NIv2 | task1262_ted_translation_pl_it | fs_opt | [
-1.1754130125045776,
0.8048065304756165,
-0.29023057222366333,
0.025352127850055695,
-0.5724167823791504,
0.10032252222299576,
0.9087956547737122,
0.4247179627418518,
-0.3329427242279053,
-0.8248836994171143,
-0.6872872710227966,
0.2123425304889679,
-0.4804340600967407,
0.4021516442298889,... |
Instructions: In this task, you're given five sentences, numbered 1 through 5. Your job is to generate a title for the story that makes complete sense. The title must be short, with less than three words, use simple language, and include the main topic of the story.
Input: Sentence 1: Jack and Jill were hungry one nigh... | Going out to eat | 3 | NIv2 | task219_rocstories_title_answer_generation | zs_opt | [
-0.8096930980682373,
0.8260660171508789,
-0.06751684844493866,
-0.3092784583568573,
0.059925734996795654,
0.2528055012226105,
0.6578912734985352,
0.032685790210962296,
-0.2370772659778595,
0.02820199355483055,
-0.3275439441204071,
-0.5083494186401367,
-0.5858035087585449,
0.100836835801601... |
Teacher: Given a sentence in Chinese, generate a new Chinese 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 probabilit... | 一个大城市可能拥有几家报纸。 | 2 | NIv2 | task412_mickey_zh_sentence_perturbation_generation | fs_opt | [
-0.042167820036411285,
0.1487877070903778,
-0.12457683682441711,
-0.4836416244506836,
0.2756615877151489,
-0.3324238359928131,
-0.006890413351356983,
0.9833774566650391,
-0.17235669493675232,
-0.17690768837928772,
-0.07027427852153778,
0.19851288199424744,
-0.3065817356109619,
-0.411879628... |
Translate from English to Hindi.
[EX Q]: I just want to go back to my room.
[EX A]: मैं बस मेरे कमरे में वापस जाना चाहती हूँ.
[EX Q]: Want a cold one, Andy?
[EX A]: ठंडी वाली चाहते हो, एंडी?
[EX Q]: It's not true!
[EX A]: | यह सच नहीं है!
| 6 | NIv2 | task1329_open_subtitles_en_hi_translation | fs_opt | [
0.1596449613571167,
0.6202740669250488,
-0.6760120391845703,
-0.26200270652770996,
-0.6426212191581726,
-1.1966683864593506,
0.11882412433624268,
0.011567237786948681,
0.21154537796974182,
-0.6296120285987854,
0.2764403820037842,
0.218664288520813,
-0.7123714089393616,
-0.08080301433801651... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish.
Example: (Risate) E infatti aveva già pubblicato tanti video sulla natura.
Example solution: (Śmiech) Opublikował wiele filmów o przyrodzie.
Example explanation: The Italian sentence is correctly translated into Polish, beca... | Solution: (Stukanie) Następne pytanie: Czy można zapalić małą żarówkę przy pomocy baterii, żarówki i kawałka przewodu? | 5 | NIv2 | task1253_ted_translation_it_pl | fs_opt | [
-0.81546950340271,
0.9430577754974365,
-0.28947699069976807,
0.247024804353714,
-0.21993812918663025,
-0.30709362030029297,
0.9131985306739807,
0.3922896683216095,
-0.6481627225875854,
-0.545143723487854,
-0.46769940853118896,
0.40162718296051025,
-0.8970358967781067,
0.39085298776626587,
... |
Teacher: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'.
Teacher: Now, under... | -1242 | 6 | NIv2 | task086_translated_symbol_arithmetic | zs_opt | [
-0.317504346370697,
0.5358670949935913,
-0.23944009840488434,
-0.30312347412109375,
-0.2382366806268692,
0.1417166292667389,
0.26307687163352966,
1.0816642045974731,
0.006509833037853241,
-0.3132186233997345,
-0.649840235710144,
-0.7869395017623901,
-0.29910266399383545,
0.3887542486190796... |
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 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 eleme... | 1, 2, 4 | 1 | NIv2 | task506_position_of_all_alphabetical_elements_in_list | zs_opt | [
0.1697104424238205,
0.5293266773223877,
-0.24899934232234955,
-0.5634366273880005,
0.5903754234313965,
0.005930108949542046,
1.4050360918045044,
-0.14436040818691254,
-0.21130618453025818,
0.28959837555885315,
-0.47987160086631775,
-0.18856731057167053,
0.3468407988548279,
-0.5326685905456... |
Instructions: You will be given two pieces of text with the same meaning. One of them is simpler and easier to understand for non-native English speakers. Complex texts may contain more difficult words, have unnecessary phrases or contain long sentences. Your task is to choose the simpler piece of text. You are expecte... | Text one | 3 | NIv2 | task112_asset_simple_sentence_identification | zs_opt | [
-0.7597607374191284,
0.3375137150287628,
0.017945561558008194,
-0.8164896965026855,
0.20400115847587585,
-0.510195255279541,
0.67011559009552,
0.3865254521369934,
-0.45829030871391296,
0.22145220637321472,
-0.3362129032611847,
-0.5105141997337341,
-0.24854856729507446,
0.11463302373886108,... |
You are given a sentence in English. Your job is to translate the English sentence into Spanish.
Q: We just lack the will.
A: Solo falta la voluntad.
****
Q: But it was still the most exciting thing that has ever happened to me and my sisters.
A: Pero era lo más emocionante que nos había sucedido a mis hermanas y a ... | No somos flores, somos chispas de cambio. "" Para cuando llegué a Pekín en 1995, estaba claro para mí que la única manera de alcanzar la igualdad de género era volcar siglos de tradición opresora.
****
| 4 | NIv2 | task1219_ted_translation_en_es | fs_opt | [
-0.7967220544815063,
0.9574435353279114,
-0.04399172216653824,
-0.18591485917568207,
-0.07435505092144012,
-0.8888510465621948,
0.31039172410964966,
1.2603683471679688,
0.23311109840869904,
0.2973208725452423,
-0.05902872979640961,
0.3683609664440155,
-0.7174463272094727,
0.535301208496093... |
Detailed Instructions: You are given a statement written in Bengali. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement . Output the word from the correct option .
Problem:Statement: সোভিয়েত ইউনিয়নের পতন ও স্নায়ুযুদ্ধের অবসানের পর বিশ্বব্যাপী একক মার... | রাশিয়া | 8 | NIv2 | task945_wiki_cloze_bn_multiple_choice_question_answering | zs_opt | [
-0.7513179183006287,
0.42565467953681946,
-0.19459152221679688,
0.09831397235393524,
-0.4871446192264557,
0.49410876631736755,
0.48056715726852417,
1.624901294708252,
0.4230441451072693,
0.2880611717700958,
-0.6751894950866699,
-0.23998409509658813,
-0.2573235332965851,
-0.2537545263767242... |
Detailed Instructions: In this task you are given a sentence pair from wikipedia that have high lexical overlap. If the sentences have the same meaning and are just paraphrases of each other label them as "Paraphrase" , if not label them as "Not paraphrase". The two sentences are seperated by a new line.
Q: The interio... | Paraphrase | 9 | NIv2 | task400_paws_paraphrase_classification | zs_opt | [
-1.1318104267120361,
0.8893709778785706,
0.060152653604745865,
-0.5514643788337708,
-0.12506243586540222,
-0.10879064351320267,
0.8353704214096069,
0.21974101662635803,
0.30476444959640503,
0.14462560415267944,
-0.0956961065530777,
0.614717960357666,
-0.514826238155365,
0.5722439289093018,... |
Given a question and a context passage, generate the answer having the word or phrase from the context passage. Here, the answer should be a shortest continous span from the passage.
One example is below.
Q: Context: Architecturally, the school has a Catholic character. Atop the Main Building's gold dome is a golden st... | nino cerruti | 9 | NIv2 | task469_mrqa_answer_generation | fs_opt | [
0.2862040400505066,
0.8711925745010376,
-0.27115195989608765,
0.03595951199531555,
0.2400076538324356,
-0.6782511472702026,
-0.36989831924438477,
0.16750140488147736,
0.43253254890441895,
0.150804340839386,
0.23020558059215546,
0.1072997972369194,
-0.16818338632583618,
0.1742638498544693,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you have to identify the named entities (NER) which are the ingredients required given its directions. Named entities are the names of the items without their quantity.
Preheat oven to... | roll, tuna, cheap salad dressing, dill pickle, Cheddar cheese, garlic | 0 | NIv2 | task571_recipe_nlg_ner_generation | fs_opt | [
-0.21570919454097748,
0.3880917429924011,
-0.20914506912231445,
0.14092661440372467,
-0.3836509585380554,
0.6831352710723877,
0.2547248601913452,
0.8864367604255676,
-0.6010667085647583,
0.038709044456481934,
0.5152919292449951,
-0.2687685489654541,
0.057169169187545776,
0.0232566818594932... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese.
E quindi sto considerando le isole galleggianti. | 私は浮かぶ島構想を捨てていません | 0 | NIv2 | task1248_ted_translation_it_ja | zs_opt | [
-0.34949928522109985,
0.3181549310684204,
-0.4366200566291809,
0.1369924247264862,
0.04170624166727066,
-0.7646586894989014,
0.4712378680706024,
0.13497263193130493,
-0.5094968676567078,
-0.5077839493751526,
0.17966702580451965,
-0.11922358721494675,
-0.4258277416229248,
0.2903760671615600... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that contradict each other. Your job is to alter sentence 2 so that the pair agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the... | Solution: A man is sitting next to a metal bucket. | 5 | NIv2 | task186_snli_contradiction_to_entailment_text_modification | fs_opt | [
0.11169517040252686,
0.5953422784805298,
0.6695873737335205,
-0.6722267866134644,
0.33470025658607483,
-0.7323601245880127,
-0.5081247687339783,
0.6207860112190247,
0.48799875378608704,
-0.37628090381622314,
-1.0277724266052246,
-0.5307437181472778,
-0.8984609842300415,
-0.3443318009376526... |
You will be given a summary of a story. You need to create a question that can be answered from the story. You can create a question about characters, events, facts and beliefs, etc. Your question should be specific, try not to use pronouns instead of full names. As the stories are sometimes movie plots, they will cont... | How is James related to Sibyl? | 0 | NIv2 | task405_narrativeqa_question_generation | zs_opt | [
1.0671075582504272,
0.8029599189758301,
-0.1944873332977295,
-0.6868247985839844,
0.3177019953727722,
-0.2767622172832489,
0.24124760925769806,
0.27747219800949097,
-0.43172043561935425,
-0.008334022015333176,
0.19261415302753448,
0.3025617003440857,
-0.4221179485321045,
0.3329173326492309... |
Teacher:Given a sentence, generate a most unlikely next statement. The next statement should not be logically relevant to the given context
Teacher: Now, understand the problem? Solve this instance: Someone pretends to hold someone's penis. His tongue
Student: | rears from his nose as he picks him up. | 6 | NIv2 | task454_swag_incorrect_answer_generation | zs_opt | [
-0.18296946585178375,
0.8888649344444275,
0.43200600147247314,
-0.5047088861465454,
-0.7543957233428955,
-0.23749469220638275,
-0.2854924499988556,
0.32872357964515686,
-0.1069616824388504,
-0.1841546595096588,
-0.499721497297287,
-0.005240988917648792,
-0.6809661388397217,
-0.750627100467... |
Q: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: personal or non-personal depending on the to... | personal | 7 | NIv2 | task1490_bengali_personal_hate_speech_binary_classification | zs_opt | [
-0.8318028450012207,
-0.021064724773168564,
0.3079570531845093,
0.30855900049209595,
-0.3328847885131836,
-0.3622291088104248,
-0.016597986221313477,
0.10172629356384277,
-0.23433205485343933,
-0.07402803003787994,
-0.062301650643348694,
-0.05837506800889969,
-0.356023907661438,
-0.1700948... |
In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it. Your job is to determine which sentence(s) from the passage can be used to search for further information needed to answer the question.
Example: Question: When did the operation d... | Solution: Bari made his senior debut for the UAE in November 2006, appearing against Nepal in an ACC Premier League match | 5 | NIv2 | task234_iirc_passage_line_answer_generation | fs_opt | [
0.8852043747901917,
0.5628609657287598,
-1.0306520462036133,
0.03712112456560135,
0.1093345656991005,
-0.8383532762527466,
0.916393518447876,
0.8139071464538574,
0.32325848937034607,
0.1460137963294983,
-0.9630786776542664,
0.6370325088500977,
-1.1786456108093262,
0.5159432888031006,
0.5... |
Definition: Given a sentence in the Japanese, provide an equivalent translation in Lao that retains the same meaning through the translation. In translation, keep numbers as it is.
Input: ハイウェイエージェンシーが運営する英国交通サイトでは、ロンドンは閉鎖地区にマークされた。
Output: | ເທິ່ງສະຖານທີ່ສັນຈອນຂອງອັງກິດ ທີ່ດໍາເນີນການໂດຍຕົວແທນທາງຫລວງ ເມືອງລອນດອນແມ່ນໄດ້ຖືກໝາຍໃສ່ວ່າ ເປັນ "ເຂດປິດ." | 2 | NIv2 | task1124_alt_ja_lo_translation | zs_opt | [
-0.5760983228683472,
-0.4068675935268402,
0.3637188971042633,
-0.7141046524047852,
0.05219942331314087,
-0.6086852550506592,
-0.34705305099487305,
0.730488657951355,
-0.0810907632112503,
-0.2919408082962036,
-0.5582189559936523,
0.43609076738357544,
-0.5494839549064636,
0.7196054458618164,... |
Given an input word generate a word that rhymes exactly with the input word. If not rhyme is found return "No"
liquid | No | 0 | NIv2 | task183_rhyme_generation | zs_opt | [
0.5503840446472168,
1.9253807067871094,
0.665331244468689,
-1.0490524768829346,
-0.46633362770080566,
-0.27355289459228516,
-0.2787294387817383,
0.6028773784637451,
-0.14209909737110138,
-0.4948202967643738,
0.40092501044273376,
-0.9579388499259949,
-1.0180824995040894,
-0.2680934965610504... |
Given the task definition and input, reply with output. In this task, you are given a set of context paragraphs, some supporting facts and an answer of a question. Your task is to generate question for given answer based on set of context paragraphs, supporting facts and an answer.
Context_1 : Darby Crash (formerly Bo... | Mary Bridget Davies does an interpretation of which famous American rock singer and songwriter who died of a heroin overdose at age 27? | 5 | NIv2 | task191_hotpotqa_question_generation | zs_opt | [
0.9393468499183655,
0.6810979843139648,
-0.997922420501709,
0.15227076411247253,
0.576337993144989,
-0.3980722427368164,
1.0026887655258179,
0.8795559406280518,
-0.29013359546661377,
0.6442916393280029,
-0.44167786836624146,
0.33845633268356323,
-0.3685321807861328,
-0.046138327568769455,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons... | Sentence 1: PersonX disabled PersonY 's car so that _ could prevent her from driving it home drunk.
Sentence 2: PersonX disabled PersonY 's car so that _ could be prevented from driving it home drunk. | 0 | NIv2 | task030_winogrande_full_person | fs_opt | [
0.6513112783432007,
0.3486369848251343,
-0.09164953976869583,
-0.024803102016448975,
0.5189034938812256,
-0.46444714069366455,
1.030442237854004,
1.0680896043777466,
-0.12157367169857025,
-0.5072411298751831,
-0.57523512840271,
-0.23941102623939514,
-0.6062323451042175,
0.5256624221801758,... |
You are given a sentence in English. Your job is to translate the English sentence into Portugese.
[Q]: I found SmileyGirl1978.
[A]: Encontrei a SmileyGirl1978.
[Q]: But let's show our kids the truth.
[A]: Mas mostremos a verdade aos nossos filhos.
[Q]: There are so many wonderful places.
[A]: | Existem tantos lugares fantásticos.
| 5 | NIv2 | task1094_ted_translation_en_pt | fs_opt | [
-0.3065904974937439,
0.5963943004608154,
-0.4685581922531128,
-1.131737232208252,
-0.885953962802887,
-0.7501313090324402,
-0.24239441752433777,
0.6548655033111572,
0.8487942218780518,
-0.28221744298934937,
0.3462788760662079,
0.7183014750480652,
-0.5946542024612427,
0.3374482989311218,
... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Hebrew.
Input: Consider Input: E 'una fottuta orgia! "" (Risate) Come dicevo, imprecava troppo.
Output: זוהי אורגיה מזורגגת! "" (צחוק) וכמו שאמרתי הוא קילל הרבה מדי
Input: Consider Input: Si è ipotizzato che il primo tipo, come ... | Output: יש כל כך הרבה אנשים שמוכנים לסבול בקרח שהם מכירים במקום לקחת את הסיכון ולעבור דרך הקרח כדי לראות מה יש בצד השני.
| 2 | NIv2 | task1251_ted_translation_it_he | fs_opt | [
-0.40273165702819824,
0.5252493023872375,
-0.15875089168548584,
0.5083591341972351,
-0.2088063657283783,
-0.4152030944824219,
-0.13442862033843994,
0.5866077542304993,
0.3697303235530853,
-0.4305938482284546,
-0.5896295309066772,
0.12149475514888763,
-0.39548230171203613,
0.090891763567924... |
In this task, you are given an input list A. If the count of numbers is more than that of alphabets in the list, answer 'Numbers Win'. If the count of alphabets is more than that of numbers in the list, answer 'Alphabets Win'. If the count of numbers is same as that of alphabets in the list, answer 'Numbers and Alphabe... | Alphabets Win
****
| 4 | NIv2 | task523_find_if_numbers_or_alphabets_are_more_in_list | fs_opt | [
0.0930037796497345,
0.3423665463924408,
-0.28532281517982483,
-0.2555971145629883,
-0.3591950833797455,
-0.4214000701904297,
0.6068341732025146,
0.4050135910511017,
-0.334107369184494,
0.21858710050582886,
-0.9434012174606323,
0.31422531604766846,
-0.4770200252532959,
0.2368258386850357,
... |
In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative.
Ex Input:
First of all, I want to thank the powers that be for the comped tix. See you in April as a paying s... | POSITIVE
| 1 | NIv2 | task475_yelp_polarity_classification | fs_opt | [
0.2872634530067444,
-0.12519212067127228,
-0.4860231280326843,
-0.17354796826839447,
0.9413747191429138,
-0.41124796867370605,
0.8220013380050659,
0.9674282073974609,
-0.007076415698975325,
0.322364866733551,
0.29510927200317383,
-0.21423718333244324,
-0.56595379114151,
0.05994946509599686... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you're given a review from Amazon and your task is to generate the name of the category of the product based on the review given by the user. The categories are: kitchen, office product... | musical instruments | 0 | NIv2 | task617_amazonreview_category_text_generation | fs_opt | [
-0.5331287384033203,
0.26359814405441284,
-0.6900542974472046,
0.34122273325920105,
0.5317295789718628,
0.12808367609977722,
0.3658914566040039,
0.9457440972328186,
-0.39148151874542236,
0.528329610824585,
0.5900058746337891,
0.14000391960144043,
-0.287901371717453,
-0.16193178296089172,
... |
In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is potentially offensive to anyone (i.e., a subset of people, any particular person, etc.), 2) no, otherwise. Note that potentially offensive posts can contain sexual, racia... | Solution: Yes | 5 | NIv2 | task609_sbic_potentially_offense_binary_classification | fs_opt | [
-0.07675600051879883,
0.03705284371972084,
0.7018073797225952,
0.19497305154800415,
0.2501586973667145,
-0.6148629188537598,
0.43470197916030884,
1.0338995456695557,
0.3998607099056244,
-0.03847065567970276,
-0.529242753982544,
-0.5484668016433716,
-0.45238983631134033,
-0.8834850788116455... |
Definition: You are given a paragraph, with numbered sentences, and a question. Write the numbers of the sentences needed to answer the given question. Separate multiple sentence numbers with a comma (", "). E.g. "1, 2" would be the correct response if Sent 1 and Sent 2 are needed to answer the given question (do not i... | 1. | 2 | NIv2 | task049_multirc_questions_needed_to_answer | zs_opt | [
0.0018817695090547204,
0.4204707443714142,
-0.12422958016395569,
-0.513473629951477,
0.08918362855911255,
0.06436050683259964,
0.25547200441360474,
0.7174769639968872,
-0.3010120689868927,
0.6763895153999329,
-0.5134903788566589,
0.25442320108413696,
-0.3551047444343567,
-0.066336616873741... |
Q: You are given a concatenated string consisting of two parts that are separated by a newline character. The first part is the user's initial question during a human computer conversation, the second part is a clarifying question asked by the computer in response to the question asked by the user. You should read the ... | no i want pricing | 7 | NIv2 | task1714_convai3_sentence_generation | zs_opt | [
0.010850518010556698,
0.41150790452957153,
-0.32797807455062866,
-0.33875465393066406,
0.2332717776298523,
-0.3680274486541748,
0.8054832220077515,
0.27456149458885193,
0.7332666516304016,
0.4437342882156372,
0.03636879846453667,
-0.1941770315170288,
-0.618618905544281,
-0.0943645834922790... |
Part 1. Definition
In this task, you're given four sentences of a story written in natural language, and one last sentence (Sentence5). Your job is to classify whether the last sentence completes the rest of the story coherently or not by providing 'Yes' or 'No'.
Part 2. Example
Sentence1: Rick grew up in a troubled ho... | No | 7 | NIv2 | task298_storycloze_correct_end_classification | fs_opt | [
0.047725893557071686,
0.153257817029953,
0.20618212223052979,
-0.14455105364322662,
0.1577252596616745,
0.0899055227637291,
0.34410789608955383,
1.0010175704956055,
-0.2266387790441513,
0.014987609349191189,
-0.36414676904678345,
-0.3695376515388489,
-0.8363654613494873,
0.0859623104333877... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the letters E, C, and N respectively.
Let me give... | C | 8 | NIv2 | task190_snli_classification | fs_opt | [
-0.1450551152229309,
0.2146269530057907,
0.5963878035545349,
-0.12335408478975296,
0.2907666862010956,
-1.1601030826568604,
-0.2996883988380432,
0.7995141744613647,
0.18295526504516602,
0.5411877632141113,
-0.15353013575077057,
-0.31953442096710205,
-0.5246578454971313,
-0.5495011806488037... |
Given the task definition and input, reply with output. Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.
Relationship: 'look up at', Argument/Subject 1: 'cuddy', Argument/Subject 2: 'house'
| Cuddy looked up at House , This is your fault . | 5 | NIv2 | task677_ollie_sentence_answer_generation | zs_opt | [
-0.9418931603431702,
1.0034147500991821,
0.08997925370931625,
0.0011321317870169878,
-0.2267788052558899,
0.1787286400794983,
0.12322384119033813,
0.08462806046009064,
0.5851384401321411,
-0.3730447590351105,
-0.31265491247177124,
-0.1823389232158661,
-0.2628158628940582,
-0.08407114446163... |
Given the task definition, example input & output, solve the new input case.
You are given a mathematical question described with a circumscribed mathematical vocabulary. Questions in this task usually contain some variables (e.g. X, Y), equations (e.g. X+Y=3) and some relationships (X is greater than Y). Often you nee... | E | 1 | NIv2 | task104_semeval_2019_task10_closed_vocabulary_mathematical_answer_generation | fs_opt | [
0.3466604948043823,
0.2867547869682312,
-0.5576039552688599,
-0.25159865617752075,
0.05881323665380478,
0.30689623951911926,
0.9288657307624817,
1.2972638607025146,
-0.0015329669695347548,
-0.10064640641212463,
-0.5981091856956482,
0.20615990459918976,
0.11878074705600739,
-0.2067128717899... |
Instructions: You are given a sentence in English. Your job is to translate the English sentence into Galician.
Input: I can tell that sovereign ratings may still look to you like this very small piece of this very complex global financial world, but I tell you it's a very important one, and a very important one to fix... | Podo dicir que as avaliacións soberanas poden semellar só un anaco do tan complexo mundo financiero pero dígovos que é un anaco moi importante, e un moi importante a mañar. porque as avaliacións soberanas aféctannos a todos e deberían especificarse e definirse coma bens públicos. | 3 | NIv2 | task1090_ted_translation_en_gl | zs_opt | [
-1.021337628364563,
0.9983481764793396,
0.35527071356773376,
-0.6331527233123779,
0.31781941652297974,
-0.917834997177124,
0.3823901414871216,
1.0366907119750977,
-0.6417379379272461,
0.12538352608680725,
0.10101282596588135,
0.7445350885391235,
-0.7574982643127441,
-0.13637825846672058,
... |
Detailed Instructions: In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A.
Problem:4, ['3333', 'b', 'a', 'm', 'G', '3013', 'b', '2669', '1997', '9011', 'D', 'v', 'C', '... | G, 3013, b, 2669, 1997, 9011, D, v, C, 609, 2167 | 8 | NIv2 | task064_all_elements_except_first_i | zs_opt | [
-0.07102338969707489,
0.3457346558570862,
-0.35558223724365234,
-0.9750665426254272,
-0.3942047655582428,
0.0913110226392746,
0.5048567056655884,
0.006222659256309271,
-0.17100466787815094,
-0.004735284950584173,
-1.1714684963226318,
0.016663536429405212,
0.5865820646286011,
-0.18656396865... |
Definition: Given a sentence in the Thai, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Input: 189 คนของผู้เสียชีวิตจากเหตุการณ์ดังกล่าวเป็นพลเมืองสหรัฐอเมริกา
Output: | この事件での死者のうち189人はアメリカ市民だった。 | 2 | NIv2 | task1128_alt_th_ja_translation | zs_opt | [
0.2590997815132141,
-0.3597819209098816,
-0.3077903389930725,
-0.37415578961372375,
-0.11545547842979431,
-0.6305893659591675,
0.9764614105224609,
0.828557014465332,
0.30330488085746765,
0.33043068647384644,
-0.4854392111301422,
0.5352568030357361,
-0.13224099576473236,
0.8505814075469971,... |
Part 1. Definition
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Farsi.
Part 2. Example
وقد كتبن اللغة وغالبا ما كانت لغة آلة وأحيانا شفرة ثنائية ترسل بعدها بالبريد لمركز البيانات لتنقل على شريط أو بطاقة ورقية مثقبة ثم تعاد الكرة مرة أخرى للتأكد.
Answer: و آنگاه آنها کُد می نوشتن... | من و اروز به روشهایی فکر می کردیم تا به تصویر بزرگی از فرهنگ و تاریخ انسان دست یابیم: تغییر در طول زمان. | 7 | NIv2 | task1108_ted_translation_ar_fa | fs_opt | [
-0.5396283864974976,
0.27712148427963257,
-0.39335066080093384,
-0.007712803315371275,
0.4184485375881195,
0.10878307372331619,
1.226567268371582,
-0.3397985100746155,
-0.13854441046714783,
-0.25729629397392273,
-0.7062645554542542,
-0.06359652429819107,
-0.19301247596740723,
0.55725121498... |
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... | False | 5 | NIv2 | task1309_amazonreview_summary_classification | zs_opt | [
-1.0545430183410645,
0.6103528738021851,
0.17809918522834778,
0.05238484963774681,
-0.2550031542778015,
0.37660419940948486,
0.48051589727401733,
0.4176921546459198,
-0.22186926007270813,
0.1651492416858673,
-0.552137553691864,
-0.02364313416182995,
-0.3721688687801361,
-0.0297488197684288... |
TASK DEFINITION: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English.
PROBLEM: لم يتحدث أحدنا إلى الأخر لثلاثة عقود ولكن قبل سنتين قررت أن أُسلّط عليه الأضواء
SOLUTION: We never spoke to each other for three decades, and then a couple of years ago, I decided to turn the spotli... | They have to have a much more participatory governance in many civil society organizations.
| 8 | NIv2 | task1230_ted_translation_ar_en | fs_opt | [
0.15831893682479858,
0.7256661653518677,
0.01569431461393833,
-0.8527872562408447,
-0.503646731376648,
-0.15098480880260468,
1.2622432708740234,
-0.09896382689476013,
0.2927929759025574,
-0.08831776678562164,
-0.42420610785484314,
0.5897840261459351,
-1.234098196029663,
-0.1160118058323860... |
Teacher: Adverse drug reactions are appreciably harmful or unpleasant reactions resulting from an intervention related to the use of medical products, which predicts hazard from future administration and warrants prevention or specific treatment, or alteration of the dosage regimen, or withdrawal of the product. Given ... | non-adverse drug event | 2 | NIv2 | task1495_adverse_drug_event_classification | fs_opt | [
0.6561931371688843,
-0.20995180308818817,
-0.38409513235092163,
-0.7328566908836365,
-0.24243071675300598,
-0.37989017367362976,
-0.14813917875289917,
1.2599554061889648,
0.42109325528144836,
0.665371298789978,
-0.34148290753364563,
0.4591790437698364,
-0.019642041996121407,
-0.25629940629... |
Q: In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lists.
[[-55, -96, -105... | [3, 38, -41, 86, 27, 91, 79] | 7 | NIv2 | task207_max_element_lists | zs_opt | [
-0.30165159702301025,
0.002500880276784301,
-0.8996190428733826,
0.23494289815425873,
0.12239853292703629,
0.37292909622192383,
0.8126420974731445,
0.1018584594130516,
0.21723923087120056,
-0.09582948684692383,
-0.5686513781547546,
0.2995385527610779,
-0.1440945565700531,
0.110970214009284... |
Translate the given Spanish text to English
Q: Gender specific synthetic nutritional compositions for infants up to 1 month of age, wherein the leucine and/or threonine and/or tyrosine content is adapted based on that found in HM produced for an infant of the same gender and age, and nutritional systems comprising them... | Composiciones nutricionales sintéticas específicas de género para niños de hasta 1 mes de edad, en el que la leucina y/o contenido de treonina y/o tirosina es una adaptación basada en la que se encuentra en HM producido para un infante del mismo sexo y edad, y los sistemas nutricionales que los comprenden. | 4 | NIv2 | task840_para_pdt_en_es_translation | zs_opt | [
-0.15662755072116852,
0.8083853125572205,
-0.23225638270378113,
-0.4105570316314697,
-0.4094661474227905,
-0.5084314346313477,
-0.3485179543495178,
0.9075531959533691,
0.2830531895160675,
0.05035712942481041,
-0.8471858501434326,
-0.43699532747268677,
-0.9399709701538086,
-0.04108817130327... |
Detailed Instructions: Given scene/plot descriptions from movies or TV shows, and given a specific question about the scene, summarize the question into a title
Q: THIS MAY CONTAIN SPOILERS In Rick and Morty episode The ABC's of Beth After confronting Rick,Beth discovers she has two options: leave the family to travel... | Does Beth leave or stay with the family? | 9 | NIv2 | task1638_doqa2.1_movies_text_summarization | zs_opt | [
-0.21684016287326813,
0.6006895899772644,
-0.38322436809539795,
0.29160231351852417,
-0.16823342442512512,
-0.49338409304618835,
0.07653864473104477,
0.5015132427215576,
0.557834267616272,
0.4673306941986084,
0.2414391189813614,
0.459050714969635,
0.0776299238204956,
0.28405019640922546,
... |
You are asked to create a question containing a blank (_), based on the given context word. Your question must contain two related but different objects; for example "trophy" and "suitcase". The expected answer to your question must be one of the objects present in the sentence. The expected answer must not be associat... | He asked if the scratches came from the sticks they carried or the sculptures she moved, but she said she didn't touch the _ that day. | 6 | NIv2 | task031_winogrande_question_generation_object | fs_opt | [
0.7908514738082886,
0.4003325402736664,
0.20330286026000977,
0.15603312849998474,
0.6692498922348022,
-0.8424336910247803,
0.5072582960128784,
1.2348164319992065,
-0.38948842883110046,
-0.45837071537971497,
-0.20070788264274597,
0.13996370136737823,
-0.12522408366203308,
0.0654421001672744... |
Detailed Instructions: In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
Problem:[-864, -754, -341, -49, 376, -196, -729, -912, -453, -426, 377, -69, -118, 944, -376]
Solution: | [-860, -750, -340, -50, 380, -200, -730, -910, -450, -430, 380, -70, -120, 940, -380] | 8 | NIv2 | task373_synthetic_round_tens_place | zs_opt | [
-0.7599077224731445,
0.6761268377304077,
-0.4094357490539551,
-0.4517441987991333,
-0.4443654417991638,
0.2913661003112793,
0.6748315095901489,
-0.3669394254684448,
-0.36885887384414673,
-0.14506366848945618,
-0.9105195999145508,
0.07492977380752563,
-0.49766844511032104,
0.066454276442527... |
Given a sentence, generate what should be the most likely next statement. The next statement should be reasonable and logically correct.
Example Input: Two bulls are watched during a skirmish in a rural hillside village. The bull is now wounded and bleeding with spears in it's back and it
Example Output: chases after ... | is shown for how to set and use the hot rollers and iron on a woman's hair.
| 3 | NIv2 | task453_swag_answer_generation | fs_opt | [
0.023968439549207687,
0.869707465171814,
-0.9124236702919006,
0.3397982716560364,
-0.3766120970249176,
-0.2109922170639038,
-0.06238669902086258,
0.9572691917419434,
0.10116405040025711,
-0.440775990486145,
-0.6911194324493408,
0.6821863651275635,
-0.51451176404953,
-0.1397530436515808,
... |
instruction:
In mathematics, the absolute value of a number is the non-negative value of that number, without regarding its sign. For example, the absolute value of -2 is 2, and the absolute value of 5 is 5. In this task you will be given a list of numbers and you need to return the element with highest absolute value.... | 18.613
| 9 | NIv2 | task095_conala_max_absolute_value | fs_opt | [
0.3781197667121887,
0.16182300448417664,
-0.019109774380922318,
0.36028704047203064,
0.015237009152770042,
-0.41485297679901123,
1.0973782539367676,
1.0569353103637695,
-0.03998909890651703,
-0.17039737105369568,
-0.4898764491081238,
0.1356714367866516,
-0.10169534385204315,
-0.15957914292... |
Detailed Instructions: In this task, you are given an input i,A where i is an integer and A is an array. You need to find every ith element of A starting with the 1st element.
Q: 1, ['2087', 'I', 't', '3005', 'O']
A: | 2087, I, t, 3005, O | 9 | NIv2 | task1542_every_ith_element_from_starting | zs_opt | [
-0.224553644657135,
0.8419681191444397,
-0.8310370445251465,
-0.2281675636768341,
-0.0976516604423523,
-0.6484947204589844,
0.2098347544670105,
-0.35593169927597046,
0.057419996708631516,
-0.02100534737110138,
-0.27410152554512024,
-0.5064932107925415,
0.17619112133979797,
-0.2762554585933... |
Instructions: In this task you will be given a string and you should find the longest substring that is a palindrome. A palindrome is a string that is the same backwards as it is forwards. If the shortest possible palindrome is length 1 you should return the first character.
Input: yykkkmkkkmmkm
Output: | kkkmkkk | 3 | NIv2 | task850_synthetic_longest_palindrome | zs_opt | [
-0.2651866674423218,
0.9027262330055237,
-0.09642579406499863,
-0.674521803855896,
-0.19923442602157593,
-0.13843029737472534,
0.6327167749404907,
-0.5381795763969421,
0.1652941107749939,
-0.22006890177726746,
-0.42277970910072327,
0.6047496795654297,
-1.0258435010910034,
0.723539412021637... |
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 that the inde... | (8, 9)
| 3 | NIv2 | task089_swap_words_verification | fs_opt | [
-0.2405402660369873,
0.8412144184112549,
-0.19163727760314941,
-0.44813650846481323,
-0.04219340533018112,
-0.3231746554374695,
0.14740592241287231,
0.5033542513847351,
-0.08088833093643188,
-0.15074807405471802,
-0.6125934720039368,
-0.3025968372821808,
-0.25713494420051575,
0.00955949444... |
Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building ... | jump and run right twice
| 3 | NIv2 | task129_scan_long_text_generation_action_command_short | fs_opt | [
0.25004348158836365,
0.901504635810852,
-0.6053158640861511,
0.18989689648151398,
-0.19749987125396729,
0.19889728724956512,
0.07816791534423828,
0.5946552753448486,
-0.2808799743652344,
-0.26327770948410034,
-0.8647263646125793,
-0.3575119376182556,
-0.5931423902511597,
-0.163579151034355... |
You will be given a context and a verb separated with a newline character. You have to identify if the given verb implies an opinion, an intention, a wish or not. Please note that a verb refers to an intention only if it refers to an event planned to happen in the future and is not conditional (or part of a condition).... | Yes | 9 | NIv2 | task456_matres_intention_classification | fs_opt | [
0.42013847827911377,
0.48921459913253784,
-0.09505733102560043,
-0.22634822130203247,
-0.09044411033391953,
-0.42644041776657104,
0.49202972650527954,
0.5934295058250427,
-0.4517989158630371,
0.36877378821372986,
-0.2915121912956238,
0.5469704270362854,
-0.48583823442459106,
0.468649476766... |
Definition: Given a document, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
Input: Verify if the sentiment of the following document towards the entity Angela Merkel is Neut... | no | 2 | NIv2 | task423_persent_document_sentiment_verification | zs_opt | [
-0.8399235010147095,
0.22498014569282532,
0.12905609607696533,
0.4778288006782532,
-0.2531183958053589,
-0.34291326999664307,
0.6675491333007812,
0.589695930480957,
-0.19249463081359863,
0.5595168471336365,
0.4267427921295166,
0.26636868715286255,
0.11323178559541702,
0.3666664958000183,
... |
Detailed Instructions: 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.
He... | majority | 8 | NIv2 | task212_logic2text_classification | zs_opt | [
0.025536200031638145,
-0.3822682797908783,
-0.20484864711761475,
0.143197163939476,
0.31960004568099976,
-0.2834728956222534,
0.8176144361495972,
0.6212695837020874,
0.33653509616851807,
0.06929846853017807,
-0.0674404501914978,
0.11315658688545227,
0.019495300948619843,
0.5249680280685425... |
In this task, you are provided with an article of the legal acts. Your task is to classify it into three categories (Regulation, Decision and Directive) based on its content: 1) Regulation is a binding legislative act that must be applied in its entirety on a set date across all the member states (European Union countr... | Regulation | 6 | NIv2 | task744_eurlex_classification | fs_opt | [
0.7652859687805176,
0.5160377025604248,
-0.274003267288208,
0.7044900059700012,
0.5634822845458984,
-0.4116608798503876,
0.8110464215278625,
1.0380892753601074,
-0.5246020555496216,
0.33742013573646545,
-0.25422853231430054,
0.5171673893928528,
-0.8238840699195862,
0.29080283641815186,
0... |
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e. tagset of this corpus is 'ADJ'... | PRON | 8 | NIv2 | task583_udeps_eng_coarse_pos_tagging | fs_opt | [
0.768170952796936,
0.39096930623054504,
0.21667557954788208,
-0.13286764919757843,
0.08242644369602203,
-0.9093775749206543,
0.7646641135215759,
0.9409317970275879,
-0.7514477968215942,
-0.4192329943180084,
-0.3989589810371399,
0.09892168641090393,
-0.766182541847229,
0.38629502058029175,
... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Arabic.
Q: Yo era profesor del sistema universitario UC en Davis, y me llené de entusiasmo por esto, logrando obtener fondos para el inicio del programa en aquel entonces.
A: | كنت أستاذا في جامعة كاليفورنيا, وحصلت على الكثير من الإثارة حول هذا, وكنت قادرا على تمويل بدء العودة للبرنامج في ذلك الوقت. | 9 | NIv2 | task1228_ted_translation_es_ar | zs_opt | [
-0.21895097196102142,
0.36049240827560425,
-0.5869753360748291,
-1.0592725276947021,
-0.255706787109375,
-0.5299135446548462,
0.5302211046218872,
0.6551802158355713,
0.20119278132915497,
-0.17834427952766418,
-0.37509220838546753,
-0.37668055295944214,
-0.7269529700279236,
0.13400833308696... |
Given the task definition and input, reply with output. Given a sentence, generate a most unlikely next statement. The next statement should not be logically relevant to the given context
A woman uses the vacuum in various scenarios. She
| shovels the scissors drawn up mud dog from the beach. | 5 | NIv2 | task454_swag_incorrect_answer_generation | zs_opt | [
-0.439084529876709,
1.0824264287948608,
-0.4439966380596161,
-0.004950453527271748,
-0.12313620746135712,
0.35420578718185425,
0.04928910359740257,
0.5373570322990417,
0.811521589756012,
0.1083001121878624,
-0.26450029015541077,
0.12526239454746246,
0.08547709882259369,
-0.5636629462242126... |
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.
Input: Consider Input: Category: SCIENCE
Clue: This yellow element is found in gunpowder & ma... | Output: helen\'s melons
| 2 | NIv2 | task308_jeopardy_answer_generation_all | fs_opt | [
-1.0115687847137451,
1.181307077407837,
-0.5405402779579163,
-0.22228428721427917,
-0.5729384422302246,
0.17689558863639832,
0.425184965133667,
0.5032322406768799,
0.3837290406227112,
-0.25486958026885986,
-0.10917158424854279,
-0.06262926757335663,
-0.24602052569389343,
-0.398345112800598... |
In this task, you need to output 'Yes' if the given number is a prime number otherwise output 'No'. A 'prime number' is a a whole number above 1 that can not be made by multiplying other whole numbers.
Example: 7
Example solution: Yes
Example explanation: 7 is a prime number as it has no factors greater than 1. So, it ... | Solution: No | 5 | NIv2 | task092_check_prime_classification | fs_opt | [
-0.40856456756591797,
1.165693998336792,
-0.02560928836464882,
-0.16293451189994812,
-0.10851307213306427,
-0.3289659321308136,
0.806145191192627,
0.837119460105896,
0.4422077238559723,
-0.289948046207428,
-0.1342257559299469,
0.08242087066173553,
-0.6629384160041809,
-0.023956090211868286... |
Teacher: In this task, You are given an amazon food product review and its summary. Your task is to Generate "True" if given review and its summary match, otherwise generate "False".
Teacher: Now, understand the problem? If you are still confused, see the following example:
I have bought several of the Vitality canned ... | True | 2 | NIv2 | task590_amazonfood_summary_correction_classification | fs_opt | [
-0.9180545806884766,
-0.6872971057891846,
0.4068979024887085,
0.1741061806678772,
0.11362946033477783,
-0.27001872658729553,
-0.15070869028568268,
1.0458035469055176,
-0.8082679510116577,
-0.07184068858623505,
-0.15102913975715637,
-0.050258904695510864,
-0.47365838289260864,
-0.6131194829... |
Teacher:In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to classify the genre of the sentences from the 10 options displayed. Indicate your answer by entering the number of the choice as 1-10.
Teacher: Now, understand the problem? Solve this instance: Sentence 1: It's easy to sort... | 4 | 6 | NIv2 | task198_mnli_domain_classification | zs_opt | [
-0.726463794708252,
0.22134102880954742,
0.232570618391037,
-0.6849101781845093,
0.17724481225013733,
-0.20725616812705994,
0.2567247748374939,
1.031978726387024,
-0.4082178473472595,
-0.07761513441801071,
-0.5285840034484863,
-0.300478458404541,
-0.5446271896362305,
-0.5634372234344482,
... |
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... | holding that the creditors had standing because the plan eliminated their interests in the borrower notes and deeds of trust and disposed of the assets in the estate from which they seek to be paid | 3 | NIv2 | task287_casehold_legal_incorrect_answer_generation | zs_opt | [
0.2330961525440216,
0.11860569566488266,
-0.20876513421535492,
-0.023544643074274063,
0.4131110608577728,
-0.9986549615859985,
0.2689589262008667,
1.0805284976959229,
-0.5527911186218262,
-0.3168107867240906,
0.06857091188430786,
0.46045807003974915,
-0.635635495185852,
0.4053104519844055,... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese.
Q: Vogliamo leggere tuoi aggiornamenti. Grazie Anders. Grazie Tomm.
A: | ぜひ最新情報を読みたいと思いますありがとうアンダースありがとうトム | 9 | NIv2 | task1248_ted_translation_it_ja | zs_opt | [
-0.6865227222442627,
-0.16891303658485413,
0.59133380651474,
-0.6777955293655396,
0.11479708552360535,
-1.3828343152999878,
0.1950351893901825,
-0.07413657009601593,
0.2153289020061493,
-0.296295166015625,
0.022674649953842163,
-0.6937110424041748,
-0.8636991381645203,
1.1776885986328125,
... |
Instructions: A text is given in English. Translate it from the English language to the Bengali language. The translation must not omit or add information to the original sentence.
Input: Guru Nanak Devji's teachings of love, peace, equality and brotherhood have eternal value.
Output: | গুরুনানক দেবজি ভালোবাসা, করুণা, শান্তি, সমতা তথা সৌভ্রাতৃত্বের যে শিক্ষার কথা বলেছিলেন, তার মূল্য চিরন্তন। | 3 | NIv2 | task996_pib_translation_english_bengali | zs_opt | [
-0.599050760269165,
0.04932732135057449,
0.10263760387897491,
0.012294121086597443,
-0.33559995889663696,
-1.2964842319488525,
1.331006407737732,
-1.1176493167877197,
-0.11744546890258789,
-0.3909428119659424,
-0.5985080003738403,
0.0667213723063469,
-0.28380757570266724,
-0.14720696210861... |
In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the coreference link with gendered pronouns and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable.
Ex... | Unidentifiable | 3 | NIv2 | task350_winomt_classification_gender_identifiability_pro | fs_opt | [
-1.1243007183074951,
0.7665820121765137,
-0.15661902725696564,
-0.7418453097343445,
0.12212161719799042,
-0.1709350198507309,
-0.2442299872636795,
0.8671658635139465,
0.7517176866531372,
0.16917085647583008,
-0.6933602690696716,
0.16863219439983368,
-0.12687966227531433,
-0.522451400756835... |
In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write an implausible POS tag to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. Here is the Alphabetical list of part-of-speech tags used in this task: CC... | Output: NNP
| 2 | NIv2 | task347_hybridqa_incorrect_answer_generation | fs_opt | [
0.1564812958240509,
0.6767569184303284,
-0.35008740425109863,
0.09347519278526306,
-0.004546172916889191,
-0.5421285629272461,
0.41548603773117065,
0.6430293321609497,
-0.6226762533187866,
-0.06275105476379395,
-0.6094003915786743,
0.3861957788467407,
-0.29469552636146545,
-0.1190339624881... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | No
****
| 4 | NIv2 | task1205_atomic_classification_isafter | fs_opt | [
0.05773523449897766,
0.4614418148994446,
0.12274258583784103,
-0.3791565001010895,
-0.7449865937232971,
-0.5732621550559998,
1.349877953529358,
0.4628888666629791,
-0.4772261679172516,
-0.5928903818130493,
-0.23467481136322021,
-0.5067920684814453,
-0.7802188992500305,
0.4314524531364441,
... |
In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by 4, if the element is odd you should multiply by 4 then add 2. The output should be a list of numbers that is the result of applying that logic to the input list. You should not round any decimal... | [2.0, 17.5, -178, 182, -186, -18, 20.5, -6.0]
| 7 | NIv2 | task368_synthetic_even_or_odd_calculation | fs_opt | [
-0.771346390247345,
0.3406270146369934,
-0.14969110488891602,
-0.26341068744659424,
0.1379130631685257,
0.07550110667943954,
1.588964819908142,
0.2794094681739807,
-0.46080249547958374,
0.271952748298645,
-0.9925821423530579,
-0.07434844970703125,
-0.658553957939148,
-0.2070307433605194,
... |
Teacher:In this task, You are given an open-domain question that can be answered based on factual information. Your task is to provide \*short\* answer (in a few words only) for the given question. The short answer can be one or more entities or it can also be boolean \*yes\* or \*no\*.
Teacher: Now, understand the pro... | 2014–15 | 6 | NIv2 | task582_naturalquestion_answer_generation | zs_opt | [
-0.5798660516738892,
0.7292400598526001,
0.12767738103866577,
-0.5074500441551208,
-0.475666880607605,
-0.2671073377132416,
1.261249303817749,
0.648088276386261,
0.10535029321908951,
-0.19419988989830017,
-0.3636075258255005,
0.7240521311759949,
-0.6097522974014282,
-0.45306771993637085,
... |
A piece of text from one of these 5 languages - French, English, Dutch, Somali, Tagalog is given. Generate the language to which the text belongs.
--------
Question: Text: Anu-anong grupo ng mga tao ang bumubuo ng isang lunsod o rehiyon?
Answer: Tagalog
Question: Text: 17 Cry yet, saying, Thus saith the LORD of host... | Somali
| 7 | NIv2 | task447_opus_paracrawl_classification | fs_opt | [
0.1805477738380432,
1.1470468044281006,
0.2075459063053131,
-0.11678019165992737,
0.04383792728185654,
-0.24960112571716309,
0.1560877561569214,
0.24194440245628357,
0.15391965210437775,
-0.23984363675117493,
-0.3669103980064392,
0.6618019342422485,
-1.0537817478179932,
0.2458782196044922,... |
instruction:
Based on the information present in the given passage, you need to write a correct answer to the given question. A correct answer is one that correctly and completely answers the question. Do not write answers that address the question partially or incorrectly. The correct answer must be contained in the g... | Both sides shouted at each other when Prince Turki met with Omar.
| 9 | NIv2 | task054_multirc_write_correct_answer | fs_opt | [
0.11526873707771301,
0.6350542306900024,
0.03082790970802307,
-0.5174082517623901,
0.47572535276412964,
-0.239724263548851,
0.8967148065567017,
0.7883915901184082,
-0.10423535108566284,
0.20844528079032898,
-0.4288311302661896,
0.4758325219154358,
-0.8930738568305969,
0.1290687769651413,
... |
This task is about translating a given English language sentence to Spanish.
[EX Q]: And so we might even speak of the stream of consciousness.
[EX A]: Por eso podríamos hablar de de un torrente de conciencia.
[EX Q]: A film which is being watched online by millions.
[EX A]: Una película vista en la Internet por mill... | 6 + 0 = 6 5 + 2 = 7 2 + 3 = 5
| 6 | NIv2 | task1691_qed_amara_translation | fs_opt | [
-0.13657322525978088,
0.38901758193969727,
0.3171806335449219,
-0.3467605710029602,
-0.19470104575157166,
0.07844972610473633,
0.34948354959487915,
0.7771364450454712,
-0.1597941815853119,
-0.9875746369361877,
0.04271594062447548,
-0.6156370043754578,
-0.8138331770896912,
0.108810484409332... |
Detailed Instructions: In this task, you are given inputs i, j, and A, where i and j are integers and A is a list. You need to find all elements of A from the ith element to the jth element, reverse the order in which they occur, and then concatenate them to output the resultant string. i and j will be non-negative, an... | u | 9 | NIv2 | task101_reverse_and_concatenate_all_elements_from_index_i_to_j | zs_opt | [
0.3215618133544922,
-0.12354345619678497,
-0.7300465703010559,
-0.21939130127429962,
-0.06363614648580551,
-0.2514795958995819,
0.18658405542373657,
-0.011052176356315613,
-0.35304421186447144,
0.3524806499481201,
-1.113871455192566,
-0.232852503657341,
-0.06388025730848312,
0.170639038085... |
Instructions: Write a fact related to the given fact, based on the given topic word. Note that, your fact should have at least one word in common with the given fact. All facts in this task refer to scientific facts. Your related fact must form a chain with the given fact. Chains form when two facts connect together to... | Wind erosion is dominant. | 3 | NIv2 | task037_qasc_generate_related_fact | zs_opt | [
-0.14471542835235596,
0.9595494270324707,
-0.5965265035629272,
-0.11231274902820587,
-0.5015279054641724,
-0.9029114246368408,
-0.2419063299894333,
1.0642976760864258,
-0.21178805828094482,
-0.05984228849411011,
-1.3088512420654297,
0.6744986772537231,
-0.09958290308713913,
0.3501724600791... |
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_) and their corresponding answer. The sentence pair should look similar, and should be about two related but different objects; for example "trophy" and "suitcase". Additionally, the two sentences must b... | Sentence 1: He didn't need much intuition to know the party had moved from the parlor to the basement, as their exit from the _ was obvious.
Answer1: parlor.
Sentence 2: He didn't need much intuition to know the party had moved from the parlor to the basement, as their exit to the _ was obvious.
Answer2: basement.
... | 7 | NIv2 | task029_winogrande_full_object | fs_opt | [
0.42552125453948975,
0.43010783195495605,
-0.03117186948657036,
-0.22014236450195312,
0.7027966380119324,
-0.6936835050582886,
0.3677175045013428,
1.0809693336486816,
-0.5778707265853882,
-0.349833220243454,
-0.4140390157699585,
0.030822230502963066,
-0.6155015826225281,
0.0193188712000846... |
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