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 are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to... | No | 0 | NIv2 | task1199_atomic_classification_xattr | zs_opt | [
0.3274628818035126,
-0.0014329921687021852,
0.2965812683105469,
0.20692799985408783,
-0.4456864595413208,
-1.2002241611480713,
0.9366899728775024,
0.7564878463745117,
-1.1787853240966797,
-0.23221339285373688,
-0.2168664038181305,
-0.5985482931137085,
-0.45727241039276123,
0.25712007284164... |
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'... | Output: SYM
| 2 | NIv2 | task583_udeps_eng_coarse_pos_tagging | fs_opt | [
0.9015916585922241,
0.36094653606414795,
-0.08716610074043274,
-0.007508480921387672,
0.14599543809890747,
-0.6239479780197144,
0.7124035358428955,
0.766183078289032,
-0.4741385877132416,
-0.18146996200084686,
-0.33804070949554443,
0.11056344211101532,
-0.4859614968299866,
0.50431644916534... |
Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
One example is below.
Q: Tweet: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymized_account, Question: Does the ... | Yes | 9 | NIv2 | task839_cdt_classification | fs_opt | [
-1.3195900917053223,
1.0608553886413574,
0.4867086410522461,
0.19271808862686157,
-0.46866124868392944,
-0.9476466178894043,
0.9076067209243774,
-0.9491164088249207,
-0.09244360029697418,
0.11291708797216415,
-0.45117539167404175,
0.27919015288352966,
-0.5802524089813232,
-0.09463054686784... |
In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B".
Kyle has a lot of confidence in themselves but Brian does not. _ hasn't been able to achieve a lot in their life. (A) Kyle (B) Brian | B | 0 | NIv2 | task1391_winogrande_easy_answer_generation | zs_opt | [
0.18432563543319702,
1.248445749282837,
0.3101889491081238,
-0.6630865335464478,
-0.2844453454017639,
-0.2085120677947998,
1.0363556146621704,
0.2092580795288086,
0.312732458114624,
0.04208947718143463,
-0.08884282410144806,
0.23163193464279175,
-0.08786045014858246,
-0.07614612579345703,
... |
instruction:
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 tran... | Jednog dana, nalazim se ispred kuće i nešto radim -- samo se zezam, nešto radim – ne znam što.
| 9 | NIv2 | task1365_opustedtalks_translation | fs_opt | [
-0.6671835780143738,
0.27673736214637756,
-0.33512431383132935,
0.31729161739349365,
-0.05531555041670799,
-0.772112250328064,
0.8380366563796997,
-0.3477267324924469,
-0.253665030002594,
-0.00216209189966321,
0.15109682083129883,
0.006830757483839989,
-0.813372015953064,
0.374840915203094... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | Yes
| 1 | NIv2 | task1200_atomic_classification_xeffect | fs_opt | [
0.4467238783836365,
0.05244947969913483,
0.5948477983474731,
-0.2503887116909027,
-0.1836373209953308,
-0.2811965346336365,
1.0566308498382568,
0.9267282485961914,
-0.75101238489151,
-0.3660486936569214,
-0.6532461643218994,
-0.43511584401130676,
-0.2777513265609741,
-0.23417320847511292,
... |
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.
['6131', 'N', '385', 'D', '8941', 's', 'Q', '8853', '7713', '3053', 'G', '8449', 'P', 'w', '4703', '3687', '7... | 63865 | 1 | NIv2 | task499_extract_and_add_all_numbers_from_list | zs_opt | [
-0.16135156154632568,
0.5767971277236938,
-0.3965781629085541,
-0.8774133920669556,
-0.1043369472026825,
-0.09747064113616943,
0.6280322074890137,
-0.4365842938423157,
-0.3128635883331299,
0.3827213644981384,
-0.5895379781723022,
0.09179206192493439,
0.32880592346191406,
-0.545534312725067... |
Definition: A text is given in Malayalam. Translate it from the Malayalam language to the Marathi language. The translation must not omit or add information to the original sentence.
Input: ഇന്ത്യയും കെനിയയും തമ്മിലുള്ള ബന്ധങ്ങളില് അടുത്തിടെ ഉണ്ടായ പുരോഗതിയെ കുറിച്ചും, ഉഭയകക്ഷി താല്പ്പര്യമുള്ള മേഖലാ, രാജ്യാന്തര വിഷയങ... | उभय नेत्यांनी अलिकडच्या काळातली भारत-केनिया संबंधातील प्रगती तसेच परस्पर हिताच्या प्रादेशिक आणि जागतिक मुद्द्यांवर चर्चा केली. | 2 | NIv2 | task1071_pib_translation_malayalam_marathi | zs_opt | [
0.19542819261550903,
0.6890206933021545,
0.03147175535559654,
-0.39682358503341675,
-0.2024865448474884,
-0.1787794530391693,
0.3649335503578186,
0.32212966680526733,
-0.21320532262325287,
0.33584386110305786,
-0.39559757709503174,
0.10725991427898407,
-0.49703818559646606,
0.6637347936630... |
Instructions: Given a sentence in the Japanese and Indonesian(Bahasa variant) language. Your task is check if the Bahasa Indonesia sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Input: Japanese: 今年6月1日から8月の終わりまで都市は、道路や地下鉄の駅の出口だけでなく、議会、ヨーロッパ最大... | Yes | 3 | NIv2 | task1117_alt_ja_id_answer_generation | zs_opt | [
0.02199924737215042,
0.23764297366142273,
0.09800374507904053,
1.0518555641174316,
-0.1501866579055786,
-0.6285620331764221,
-0.2826411724090576,
0.31264516711235046,
-0.1280457079410553,
0.11833414435386658,
-0.24661222100257874,
0.7964837551116943,
-0.5451744198799133,
0.3074095249176025... |
Q: 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.
Preheat oven to 325.,Grease a 1 1/2 -quart square baking dish.,In a large bowl, break up potatoes with a fork.,Add carrot, green onion, dill weed, season... | In a medium bowl, stir eggs and milk until blended. | 7 | NIv2 | task572_recipe_nlg_text_generation | zs_opt | [
0.12475056201219559,
-0.3793315291404724,
-0.7086331844329834,
0.4129220247268677,
0.22704936563968658,
0.5548382997512817,
0.7836241722106934,
0.6678773760795593,
-0.40914982557296753,
0.11380623281002045,
0.6523691415786743,
0.541695237159729,
-0.5712503790855408,
0.4775199890136719,
0... |
Instructions: Given a prompt and four completions, select the completion that is the most plausible in continuing or answering the prompt. This task is designed to test common sense and has various categories ranging between idioms, negated statements, polysemy, subject referencing, and quantitative reasoning. Generate... | Completion B | 3 | NIv2 | task156_codah_classification_adversarial | zs_opt | [
-0.19443218410015106,
1.173797607421875,
-0.41971075534820557,
-0.9643352031707764,
-1.045318841934204,
-0.645860493183136,
0.53311687707901,
0.28789496421813965,
0.01511256955564022,
0.06187013164162636,
-0.23987099528312683,
0.24184852838516235,
0.10003416985273361,
-0.5749230980873108,
... |
In this task, you're given a review from Amazon's food products. Your task is to generate a short summary of the given review in the input. Note that you don't need to write a complete sentence as a summary.
Q: This is a fabulous marinade! I love to use it for chicken, either baked in the oven OR on the grill. This h... | GREAT marinade! | 4 | NIv2 | task589_amazonfood_summary_text_generation | zs_opt | [
-0.1892566978931427,
0.4685910642147064,
0.029078250750899315,
-0.654771089553833,
-0.21095000207424164,
-0.06408730894327164,
1.0970921516418457,
0.21683691442012787,
0.13308140635490417,
0.497929185628891,
0.26261216402053833,
-0.20207291841506958,
-0.8526688814163208,
0.6412113904953003... |
Given Statement1 and Statement2 in Croatian, identify a label based on the relationship between them. There are two possible labels: 'cause' and 'effect'. If Statement2 is the consequence of Statement1 then the Label is 'effect'. If Statement2 is the cause of Statement1 then the label is 'cause'
Input: Consider Input:... | Output: effect
| 2 | NIv2 | task1629_copa_hr_classification | fs_opt | [
-0.5863556265830994,
0.666167676448822,
-0.7549797892570496,
0.10369217395782471,
-0.41270533204078674,
-0.6070368885993958,
0.14465400576591492,
-0.15877613425254822,
-0.06870611011981964,
-0.3015589416027069,
-0.20851558446884155,
0.47828876972198486,
-0.9207910299301147,
0.1104158014059... |
TASK DEFINITION: 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 giv... | proud
| 8 | NIv2 | task293_storycommonsense_emotion_text_generation | fs_opt | [
0.3638528883457184,
-0.16730830073356628,
-0.022575663402676582,
-0.43236830830574036,
0.43865740299224854,
-0.14090311527252197,
1.1243228912353516,
0.7238091826438904,
-0.2849304974079132,
0.08743426203727722,
-0.2902453541755676,
-0.02627096138894558,
-0.2291237711906433,
0.016552852466... |
In this task, you will be presented with a question, and you have to write the part-of-speech tag for each word in the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposi... | WRB DT CD NN VBN IN DT NN VBN IN CD VBD VBN . | 9 | NIv2 | task345_hybridqa_answer_generation | fs_opt | [
-0.010333172045648098,
0.5905232429504395,
-0.7448974847793579,
0.8726226091384888,
-0.5688940286636353,
-0.43262940645217896,
1.081815481185913,
0.632420003414154,
0.04465313255786896,
-0.13680022954940796,
-0.17540085315704346,
0.4325927793979645,
-0.4012184143066406,
-0.0949345007538795... |
This task involves creating answers to complex questions, from a given passage. Answering these questions, typically involve understanding multiple sentences. Make sure that your answer has the same type as the "answer type" mentioned in input. The provided "answer type" can be of any of the following types: "span", "d... | 30.3.
| 7 | NIv2 | task028_drop_answer_generation | fs_opt | [
0.3496115803718567,
0.2459041178226471,
-1.3193120956420898,
0.1814568191766739,
0.17516158521175385,
0.2220763862133026,
0.5345722436904907,
0.39741891622543335,
-0.48794791102409363,
-0.24604156613349915,
-0.5241574048995972,
0.5001586675643921,
-0.31696242094039917,
-0.14504393935203552... |
Given the task definition and input, reply with output. In this task, you get an English sentence and a corresponding Spanish translation of the English sentence. Your task is to return a "Yes" if the translation is correct, otherwise return "No"
English: I do not know whether these proposals will meet with a favourab... | Yes | 5 | NIv2 | task532_europarl_en-es_classification | zs_opt | [
-0.5887801051139832,
0.8086552023887634,
0.8157180547714233,
0.43091297149658203,
-0.19850894808769226,
-0.8059532642364502,
0.6349310874938965,
0.5032461881637573,
0.4231867790222168,
-0.07382610440254211,
-0.2607942521572113,
0.35411375761032104,
-0.6026716232299805,
0.2982059121131897,
... |
TASK DEFINITION: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it bei... | You are likely to rake a snake around in a hole .
| 8 | NIv2 | task413_mickey_en_sentence_perturbation_generation | fs_opt | [
0.0563235804438591,
0.5607727766036987,
-0.11034230887889862,
0.21019908785820007,
-0.19327861070632935,
-0.2130158245563507,
0.7955192923545837,
0.06654617935419083,
0.14828675985336304,
-0.10412845760583878,
-0.3255889117717743,
-0.10606364905834198,
-0.7459738850593567,
0.41532051563262... |
In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
Example: و همان کسى که جفتها را یکسره آفرید، و براى شما از کشتیها و دامها [وسیلهاى که] سوار شوید قرار داد.
Example solution: He who created pairs of everything, and fashioned for you boats and beasts on wh... | Solution: Remember, when you were few and powerless in the land, afraid of despoliation at the hands of men. But then God sheltered and helped you to strength, and provided for you good things that you may perhaps be grateful. | 5 | NIv2 | task657_quran_fa_en_translation | fs_opt | [
-0.4306054711341858,
0.6513959169387817,
-0.48923224210739136,
-0.16765262186527252,
-0.10434091091156006,
-0.7454259395599365,
1.287265658378601,
0.3837011158466339,
-0.22176596522331238,
-0.09641162306070328,
-1.03456711769104,
0.9427894949913025,
-0.7061281204223633,
0.43849241733551025... |
Detailed Instructions: You will be given two sentences. One of them is created by paraphrasing the original one, with changes on an aspect, or using synonyms. Your task is to decide what is the difference between two sentences. Types of change are explained below:
Tense: The verbs in the sentence are changed in tense.... | Synonym | 8 | NIv2 | task276_enhanced_wsc_classification | zs_opt | [
-0.13422039151191711,
0.4561889171600342,
0.1811637580394745,
-0.252932608127594,
-0.4522194564342499,
-0.35368984937667847,
0.7985489368438721,
0.09603820741176605,
0.6263375878334045,
-0.11024947464466095,
0.04651125892996788,
-0.20022638142108917,
-0.4452873468399048,
0.4347642064094543... |
Definition: 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.
Input: ... | [21, -23, 86, 65, 100, 59] | 2 | NIv2 | task207_max_element_lists | zs_opt | [
0.04374794661998749,
-0.04836999624967575,
-0.9853614568710327,
0.26582077145576477,
0.22371411323547363,
0.16713304817676544,
0.5459132194519043,
-0.013239303603768349,
0.13317029178142548,
0.022585932165384293,
-0.9601858854293823,
0.07975122332572937,
-0.17304423451423645,
-0.0619017109... |
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. Zero should be counted as an even number.
One example ... | [39, 17, 149, 135] | 9 | NIv2 | task205_remove_even_elements | fs_opt | [
-0.1930171251296997,
0.1532653570175171,
-0.562222421169281,
-0.743370532989502,
0.30240917205810547,
-0.21092483401298523,
0.9027575254440308,
-0.026553938165307045,
-0.7373034954071045,
0.27904242277145386,
-0.7119263410568237,
0.3718721568584442,
-0.14118227362632751,
-0.715768158435821... |
Given the task definition and input, reply with output. In this task, you need to reverse all words of a given length in the sentence. The number of letters in a word determine its length. For example, the length of the word "apple" is 5.
Sentence: 'truck collecting residential rubbish on a snowy street'. Reverse all ... | truck collecting laitnediser rubbish on a snowy street | 5 | NIv2 | task378_reverse_words_of_given_length | zs_opt | [
-0.7036548852920532,
0.6859776973724365,
0.2037746161222458,
-0.2191842794418335,
-0.1247435212135315,
-0.08429556339979172,
0.06288024038076401,
0.24849054217338562,
-0.019166354089975357,
-0.33696448802948,
-1.365100383758545,
-0.0275094136595726,
-0.48018231987953186,
-0.102459572255611... |
Detailed Instructions: In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it, i.e., the proper nouns in the passage. Your job is to determine whether information from more than one term is needed to answer the question. Indicate your c... | b | 8 | NIv2 | task232_iirc_link_number_classification | zs_opt | [
0.6186901330947876,
0.13831305503845215,
0.37037229537963867,
0.16036657989025116,
0.02817465364933014,
0.2013295292854309,
-0.31770578026771545,
0.7719593048095703,
0.5260508060455322,
0.2985888123512268,
0.1230328381061554,
0.30614709854125977,
-0.39920222759246826,
-0.5245376229286194,
... |
Instructions: In this task, you are given an impractical statement. You are also given three reasons (associated with "A", "B", "C") explaining why this statement doesn't make sense. You must choose the most corresponding reason explaining why this statement doesn't make sense.
Input: Peter caught a mouse in the sea
(A... | C | 3 | NIv2 | task295_semeval_2020_task4_commonsense_reasoning | zs_opt | [
-0.5108866691589355,
0.6945530772209167,
-0.9348177909851074,
-0.6746620535850525,
0.035256922245025635,
-0.6895976066589355,
-0.23886114358901978,
0.6077111959457397,
0.5485684871673584,
0.6349788308143616,
-0.27655595541000366,
-0.13176970183849335,
0.11075472831726074,
-1.05866909027099... |
Detailed Instructions: In this task, you are given two sentences. Your task is to classify the given sentences as "Yes" if they have same meaning; otherwise, classify them as "No".
See one example below:
Problem: Sentence-1: I'm looking forward to it.<sep>Sentence-2: I did hear about the event next week .
Solution: Ye... | Yes | 4 | NIv2 | task566_circa_classification | fs_opt | [
-0.335126668214798,
0.19640801846981049,
0.07022972404956818,
0.06379786133766174,
-0.24680615961551666,
-0.7619116902351379,
0.4737662076950073,
0.9341251850128174,
0.47471529245376587,
0.29518020153045654,
-0.5868859887123108,
-0.19188165664672852,
-0.5929412841796875,
-0.102522954344749... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
From the given sentence, extract the phrase (often noun or verb) that carries the given relationship. The generated phrase should be present in the sentence.
Given Relationship: 'make', Sentence: 'J... | with | 0 | NIv2 | task678_ollie_actual_relationship_answer_generation | fs_opt | [
-0.03879159316420555,
1.0852947235107422,
-0.0445939265191555,
0.05718006193637848,
-0.1678994596004486,
-0.3022480010986328,
-0.00997895747423172,
1.0937159061431885,
0.09063156694173813,
0.26064127683639526,
-0.5446266531944275,
0.5147031545639038,
-0.2675306797027588,
0.0975672155618667... |
instruction:
Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
question:
Tweet: @anonymized_account no jeśli się kierujecie statystykami to niech wam będzie.Ale Wisła w sez zasadniczym nie grała na maxa bo miała jeszcze eurolige , Question: Does the tweet c... | No
| 9 | NIv2 | task839_cdt_classification | fs_opt | [
-0.9716701507568359,
0.974195122718811,
0.11870834231376648,
0.9214332103729248,
-0.345974862575531,
-1.1372413635253906,
0.9460762739181519,
-0.20519277453422546,
0.27550631761550903,
0.1185629814863205,
-0.04262293875217438,
0.2232363522052765,
-0.5226395130157471,
-0.2497900128364563,
... |
In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
Here are the definitions of log... | yes
| 0 | NIv2 | task211_logic2text_classification | fs_opt | [
0.04677406698465347,
-0.2897646725177765,
-0.20073705911636353,
0.22690312564373016,
0.4390680491924286,
-0.5890952348709106,
0.1459166407585144,
0.4505482316017151,
0.23649641871452332,
0.09102477878332138,
-0.2833375930786133,
0.1032000407576561,
0.21392515301704407,
0.3064034879207611,
... |
Part 1. Definition
In this task, positions of two consecutive words have been swapped. You need to output the position of the swaped words. e.g. in the sentence 'Seattle has nice a weather', the word 'a' and 'nice' have been swapped. These words are at 3rd and 4th position respectively. So, the output should be (3, 4).... | (1, 2) | 7 | NIv2 | task089_swap_words_verification | fs_opt | [
-0.23664672672748566,
0.3140975832939148,
-0.178735613822937,
-0.77508544921875,
-0.06143179535865784,
0.18807630240917206,
0.30747514963150024,
0.3490058183670044,
0.21240581572055817,
-0.30822837352752686,
-0.2659262418746948,
-0.02465829998254776,
-0.2777797281742096,
0.2084851861000061... |
Given a sentence in Russian, generate a new Russian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it b... | Вы редко находите дельфина в воде.
| 6 | NIv2 | task410_mickey_ru_sentence_perturbation_generation | fs_opt | [
-0.017183031886816025,
0.16063275933265686,
-0.39872312545776367,
-0.5786429047584534,
-0.7768218517303467,
-0.16449952125549316,
0.43227487802505493,
1.197303295135498,
-0.06268627196550369,
-0.38220053911209106,
-1.0659312009811401,
-0.09080439805984497,
-0.4061228036880493,
0.4417515099... |
Definition: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.
Input: passage: The United States Coast Guard (USCG) is a branch of the United States Armed Forces and one of the country's seven uniformed services. Th... | Yes | 2 | NIv2 | task380_boolq_yes_no_question | zs_opt | [
-0.40296852588653564,
0.3592875897884369,
-0.658216655254364,
-0.4960628151893616,
0.3558521568775177,
-0.6453989744186401,
1.095648169517517,
0.3110462427139282,
-0.05931904539465904,
0.21609872579574585,
0.13448429107666016,
-0.3809850811958313,
-0.4307332932949066,
0.11113739013671875,
... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into English.
One example: 第一にキリバス共和国が彼ら自身の利益になると理解したからです
Solution is here: And it was primarily because Kiribati realized that this was in their own self-interest to do this.
Explanation: The Japanese sentence is correctly translated ... | We put the mops in the hallway and re-engineered the thing and that's where we recorded the first Grammy. | 6 | NIv2 | task1222_ted_translation_ja_en | fs_opt | [
0.4507320523262024,
0.4074309468269348,
-0.270097017288208,
-0.0024400639813393354,
-0.28191831707954407,
-0.9326860904693604,
0.39111703634262085,
-0.3027227818965912,
0.19009838998317719,
-0.7082798480987549,
-0.2570587992668152,
0.1952979862689972,
-0.777898371219635,
-0.175066888332366... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in English. Your job is to translate the English sentence into Persian.
Stem cells are packed in that liposuction fluid.
Output: | سلولهاي بنيادي در مايع ليپوساکشن بسته شده اند | 1 | NIv2 | task1093_ted_translation_en_fa | zs_opt | [
-0.339996337890625,
0.6301558017730713,
-0.2966732978820801,
-0.25493600964546204,
0.01891530491411686,
-0.4297116696834564,
0.40663784742355347,
1.018695592880249,
0.46186119318008423,
0.6477072834968567,
-0.553127646446228,
0.4708133935928345,
-0.4767988622188568,
0.20817622542381287,
... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions of the participants in the sentence and those affected by it. Is any of these emotions caused by the sentence? You should write your answer in the form " A >Causes> B". Try to use phrases and sentences fro... | This was going to be a big day >Causes> Willy feel(s) nervous
| 7 | NIv2 | task749_glucose_reverse_cause_emotion_detection | fs_opt | [
-0.4504496455192566,
0.08836086094379425,
-0.4253237843513489,
0.1339322030544281,
-0.010000531561672688,
-1.0029284954071045,
0.9067385196685791,
0.8280085325241089,
-0.9281338453292847,
-0.43019700050354004,
-0.4633467197418213,
0.2755802571773529,
0.0035542843397706747,
-0.1843714118003... |
Q: Decide the language of that sentence. The language can be English, French, German, Italian, or Spanish.
Text: 'No. Mangiare ad orari fissi aiuta ad evitare di saltare i pasti e di trascurare sostanze che spesso non vengono compensate nei pasti successivi.'
A: | Italian | 7 | NIv2 | task896_miam_language_classification | zs_opt | [
-0.2841506600379944,
0.589604377746582,
0.49655699729919434,
-0.014995548874139786,
-0.5868446826934814,
-0.9071321487426758,
-0.30765461921691895,
0.21808519959449768,
-0.1135837733745575,
-0.091946542263031,
0.1449250876903534,
-0.8763628602027893,
-0.3327544629573822,
0.14754618704319,
... |
Detailed Instructions: 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 shoul... | [15.0, 206, -14.0, 21.0, 13.5, -24.0, -266, 318, -82] | 9 | NIv2 | task368_synthetic_even_or_odd_calculation | zs_opt | [
-0.6631145477294922,
0.4796336889266968,
0.29294392466545105,
-0.6594650745391846,
0.05613379552960396,
-0.42204782366752625,
1.4306366443634033,
-0.30385854840278625,
-0.1698361337184906,
0.42637622356414795,
-0.27794522047042847,
-0.1760534793138504,
-0.4112235903739929,
0.01277829520404... |
Detailed Instructions: 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.
Q: Is AUTHOR wrong in the post ? POST : So I’ve been playing coed indoor soc... | no | 9 | NIv2 | task502_scruples_anecdotes_whoiswrong_verification | zs_opt | [
-0.04751928150653839,
-0.3213244676589966,
-0.39829862117767334,
0.5688134431838989,
-0.17758551239967346,
-0.9902012944221497,
0.24167580902576447,
0.5813894867897034,
0.3646209239959717,
-0.47340261936187744,
-0.35936105251312256,
0.36827951669692993,
-0.7209604978561401,
-0.281213283538... |
Q: Given a scientific question, generate a correct answer to it.
In what unit is heat measured in?
A: | joules | 7 | NIv2 | task591_sciq_answer_generation | zs_opt | [
0.6373410820960999,
1.1420502662658691,
-1.0276050567626953,
0.2936862111091614,
-0.3038301467895508,
-1.148590326309204,
-0.9203656911849976,
-0.31886565685272217,
0.06274577230215073,
-0.9940146207809448,
0.07730820775032043,
0.20013844966888428,
-0.052154164761304855,
-0.448121100664138... |
Detailed Instructions: A text is given in English. Translate it from the English language to the Panjabi language. The translation must not omit or add information to the original sentence.
Problem:ਸੰਤ ਸ਼੍ਰੀ ਰਾਮਾਨੁਜਅਚਾਰਿਆ ਵਰਗੇ ਰਿਸ਼ੀਆਂ ਦਾ ਤਪ ਹੈ, ਇਨ੍ਹਾਂ ਵੱਲੋਂ ਸ਼ੁਰੂ ਕੀਤੇ ਅਤੇ ਲਗਾਤਾਰ ਚਲਦੇ ਸਮਾਜਿਕ ਜਾਗਰਣ ਦੇ ਪੁੰਨ ਪ੍ਰਵਾਹ ਦਾ ਪ੍ਰਤ... | It is the penance and pious stream of eternal social awakening by sages like Saint Shri Ramanujacharya that for ever our reverence stood firm on our glorious past and our conduct, customs and rituals were transformed according to time. | 8 | NIv2 | task1008_pib_translation_punjabi_english | zs_opt | [
-0.2082623541355133,
0.9694424867630005,
0.15636645257472992,
-0.5592173933982849,
-0.5122710466384888,
-1.197493314743042,
0.36401650309562683,
0.15032944083213806,
0.009686330333352089,
-0.07488730549812317,
0.242787167429924,
0.09794363379478455,
-1.1661008596420288,
0.24839860200881958... |
Q: In this task, you are given a sentence in either Spanish or English. Your task is to determine the language of the input sentence. Input sentences can only be in Spanish or English, and they cannot be in two languages at the same time.
Por estos motivos, aprobamos estas enmiendas.
A: | Spanish | 7 | NIv2 | task533_europarl_es-en_language_identification | zs_opt | [
0.12828512489795685,
0.6932358145713806,
1.1902430057525635,
-0.5460777878761292,
0.10997045785188675,
-0.8164008855819702,
-0.03418105095624924,
1.081013798713684,
0.4617215692996979,
-0.3785431981086731,
-0.20756796002388,
0.13316568732261658,
-0.1801399439573288,
-0.512351393699646,
-... |
In this task, you will be presented with a context from an academic paper and a question based on the context. You have to classify the questions into "Extractive", "Abstractive", or "Yes-no" questions. Extractive questions can be answered by concatenating extracts taken from a context into a summary while answering ab... | Yes-no
| 7 | NIv2 | task462_qasper_classification | fs_opt | [
-0.24625809490680695,
-0.1920846849679947,
0.04357164725661278,
0.01570616476237774,
-0.10487612336874008,
-0.40533825755119324,
1.26102614402771,
0.3677407205104828,
0.06154048442840576,
0.3437139391899109,
-0.4872490465641022,
0.3671932816505432,
-0.4851149916648865,
0.30626967549324036,... |
Detailed Instructions: In this task, you are given a sentence in the Hindi language and a corresponding English translation of the Hindi sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No". In the translation, English sentence should preserve the number as it is... | No | 8 | NIv2 | task426_hindienglish_corpora_hi-en_classification | zs_opt | [
-0.4607011377811432,
0.7211301326751709,
0.47715047001838684,
-0.07914669066667557,
-0.5899277925491333,
-0.7383847236633301,
0.31168094277381897,
0.4013287425041199,
-0.11977541446685791,
-1.1421318054199219,
-0.3858526349067688,
-0.015951624140143394,
-1.0122581720352173,
-0.012700330466... |
In this task you are given a story and a question regarding that story. You must judge whether the question is answerable based on the info given to you. Label the instances as "Answerable" or "Not Answerable" based on your judgment. the story and the question are separated by a new line character.
[EX Q]: Lenny had a... | Not Answerable
| 6 | NIv2 | task290_tellmewhy_question_answerability | fs_opt | [
-0.06174022704362869,
0.16408786177635193,
0.028742192313075066,
-0.5276828408241272,
-0.17973285913467407,
-0.44258183240890503,
0.09010593593120575,
0.9514726400375366,
-0.5555115342140198,
0.23346178233623505,
-0.3658691644668579,
-0.45661473274230957,
-0.16354534029960632,
0.1424023807... |
Given the task definition and input, reply with output. Given a scientific passage and an answer, generate a question for the given answer.
Passage: An electromagnetic wave is a transverse wave that can travel across space as well as through matter. When it travels through space, it doesn’t lose energy to a medium as ... | When traveling through space what do mechanical waves lose? | 5 | NIv2 | task594_sciq_question_generation | zs_opt | [
-0.4512246251106262,
1.2669613361358643,
0.2145112156867981,
-0.6110062003135681,
0.3088129162788391,
-0.7654397487640381,
0.20279845595359802,
0.0018547277431935072,
0.3599109649658203,
-0.3392849564552307,
0.1494418978691101,
0.1151261031627655,
-0.4739883840084076,
-0.612859845161438,
... |
Given the task definition and input, reply with output. In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair contradict each other. Generated sentences must be short, with less than 15 words. New information can be introd... | There's a man cleaning the room | 5 | NIv2 | task187_snli_entailment_to_contradiction_text_modification | zs_opt | [
-0.7836814522743225,
1.2227234840393066,
-0.07360603660345078,
-0.1114998459815979,
-0.058426398783922195,
-0.2664588689804077,
-0.35146331787109375,
0.4585881233215332,
0.44422897696495056,
-0.31460806727409363,
-0.504582941532135,
-0.21539321541786194,
0.06373556703329086,
-0.13383370637... |
In this task you are given a small conversation between two persons and 4 options on how the conversation should continue. Your job is to choose the most reasonable option. The conversation and the options are separated by a newline character. Each dialogue in the conversation are separated by a comma. F and M indicate... | B | 4 | NIv2 | task611_mutual_multi_turn_dialogue | zs_opt | [
0.1543087214231491,
0.43915194272994995,
-0.32483813166618347,
-0.06462623178958893,
0.5645468831062317,
-0.04277918487787247,
0.7201968431472778,
0.8356113433837891,
0.3305433988571167,
0.17693454027175903,
-0.07199333608150482,
0.4615088403224945,
-0.3000049293041229,
-0.1320057511329651... |
In this task your given a passage and a question in Catalan, you must answer the question based on the passage. The answer to the question can be extracted directly from the passage. The question will have a single correct answer. The answer will be a continuous span of text from the given passage. The correct answer w... | New Line | 0 | NIv2 | task837_viquiquad_answer_generation | zs_opt | [
0.0102634746581316,
1.1960175037384033,
-0.3433675169944763,
-0.5681820511817932,
-0.5675636529922485,
0.2996814250946045,
0.5242215991020203,
0.5435717701911926,
0.2392641007900238,
-0.2242058962583542,
-0.3034530580043793,
-0.19103378057479858,
-0.8372595906257629,
0.35585111379623413,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence from the research paper and the category to which it belongs. Your task is to classify whether the given category is correct or not by providing "True" and "False", respectively. Here are the definitions ... | True | 1 | NIv2 | task1164_coda19_section_correction_classification | zs_opt | [
-0.14976778626441956,
0.14290495216846466,
-0.49041807651519775,
-0.0505269356071949,
0.10144632309675217,
-0.06937694549560547,
-0.13095077872276306,
1.9028122425079346,
0.026698794215917587,
0.4506218135356903,
-0.6799391508102417,
0.25764214992523193,
0.3420199751853943,
0.1780945360660... |
Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
Example: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。
Example solution: អ៊ីតាលីបានឈ្នះលើព័រទុយហ្គាល់ 31-5 ក្នុងប៉ូលCនៃពីធីប្... | Solution: រីមផននិងហ្សាហ្គាមីបានត្រូវរំពឹងទុកថានឹងអាចជាសះស្បឿយអាតិទ្យក្រោយហើយនឹងរួចរាល់សំរាប់ការប្រកួតនៅទីក្រុងឡុងដ៍។ | 5 | NIv2 | task1121_alt_ja_khm_translation | fs_opt | [
-0.08006900548934937,
0.6170356273651123,
-0.6579434871673584,
0.3723919093608856,
-0.2375994175672531,
-0.4625396132469177,
0.6382881999015808,
0.19471359252929688,
-0.23880665004253387,
-0.7905465960502625,
-1.2670180797576904,
1.0347267389297485,
-0.7915419340133667,
0.8837267160415649,... |
Instructions: In this task, you are given a sentence in the Bulgarian language. Here, your job is to convert bulgarian sentence into the english language.
Input: Много хора спомогнаха за превръщането на еврото в успешния проект, който то представлява днес.
Output: | Many people have helped to make the euro the successful project it is today. | 3 | NIv2 | task271_europarl_translation | zs_opt | [
0.2552347183227539,
0.7422186136245728,
0.22403128445148468,
-0.28762680292129517,
0.10188069939613342,
-0.5608633756637573,
0.24555638432502747,
0.652280330657959,
0.7414562702178955,
-0.5196079015731812,
-0.005538443103432655,
0.7199848890304565,
-0.32074129581451416,
-0.3619852066040039... |
Given the task definition and input, reply with output. 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.
Sentence: 'a statue of a person holding a tennis racket'. How many words end with the letter 'a' in the sentence.
| 3 | 5 | NIv2 | task163_count_words_ending_with_letter | zs_opt | [
-0.22129583358764648,
0.9730508327484131,
0.1078689768910408,
-0.318065345287323,
-0.5690988302230835,
-0.12479504942893982,
-0.03211949020624161,
0.4403379559516907,
0.6810777187347412,
-1.0259723663330078,
-0.2499227076768875,
0.5292898416519165,
0.12731972336769104,
-0.19691011309623718... |
You are supposed to identify the category of a high-school level math question. There are five possible categories (1) algebra (2) arithmetic (3) measurement (4) numbers, and (5) probability. Use the following guidelines: (1) 'algebra' questions will typically contain letter variables and will ask you to find the value... | measurement
| 1 | NIv2 | task834_mathdataset_classification | fs_opt | [
-0.025598498061299324,
0.21732771396636963,
-0.34728968143463135,
0.2829979658126831,
0.03016149066388607,
-0.3460367023944855,
0.1208532303571701,
0.8328182101249695,
0.4535670280456543,
-0.49632370471954346,
-0.9085894823074341,
0.16498257219791412,
-0.38179343938827515,
-0.2262569963932... |
Detailed Instructions: Evaluate the similarity between them and classify them into classes from 0-5 as follows:
0 : The two sentences are completely dissimilar.
1 : The two sentences are not equivalent, but are on the same topic.
2 : The two sentences are not equivalent, but share some details.
3 : The two sentences ar... | 3 | 8 | NIv2 | task1347_glue_sts-b_similarity_classification | zs_opt | [
-0.6450236439704895,
-0.14674176275730133,
0.22753700613975525,
-0.11589733511209488,
0.3962526321411133,
-0.895720362663269,
0.6307430267333984,
1.4005366563796997,
0.31313356757164,
0.45457887649536133,
-0.9716367125511169,
-0.9046294093132019,
-0.526323676109314,
-0.07376984506845474,
... |
Given the task definition, example input & output, solve the new input case.
In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen after that sentence. Is any of them directly caused by it, or is made possible by it? You should write your answer in the for... | The dog stands by the door until taken for a walk >Causes/Enables> The boy takes the dog for a walk | 1 | NIv2 | task748_glucose_reverse_cause_event_detection | fs_opt | [
0.3108150064945221,
0.39169061183929443,
-0.05610881745815277,
0.5768857598304749,
-0.02541770413517952,
-0.6713203191757202,
-0.46232929825782776,
1.153010606765747,
-0.2966170012950897,
0.2640036344528198,
-0.513332188129425,
0.10041149705648422,
0.25154364109039307,
-0.4430377185344696,... |
You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
Example: what kind of film is Best Seller?
Example solution: crime
Example explanation: The answer is correct because crime genre movie is a... | Solution: Comedy, Crime, Romance | 5 | NIv2 | task615_moviesqa_answer_generation | fs_opt | [
-0.3941469192504883,
0.38536423444747925,
-1.1422147750854492,
0.5817739963531494,
-0.6639102697372437,
0.8653268814086914,
0.019585631787776947,
0.1306520402431488,
0.07641555368900299,
-0.36433491110801697,
-0.28499484062194824,
0.13929562270641327,
-0.952229380607605,
-0.144509702920913... |
In this task, you are given a context and four options. Each option is a suggested ending for the context. You should read the context and pick the best ending for the context. Please answer with "A", "B", "C", and "D".
One example: [header] How to create a christmas tree forest [title] Consider the type of tree you w... | D | 6 | NIv2 | task1389_hellaswag_completion | fs_opt | [
0.6951349973678589,
0.5909281969070435,
-0.23028485476970673,
0.00783209502696991,
-0.28953245282173157,
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1.1849706172943115,
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-0.15896305441856384,
0.16801168024539948,
0.18773214519023895,
-0.3428206443786621,
-0.0310512688010931,
-0.239670798182487... |
Q: In this task, you are given an ambiguous question/query (which can be answered in more than one way) and a clarification statement to understand the query more precisely. Your task to classify that if the given clarification accurately clarifies the given query or not and based on that provide 'Yes' or 'No'.
Query: ... | Yes | 7 | NIv2 | task227_clariq_classification | zs_opt | [
-0.09813715517520905,
-0.01948481984436512,
-0.015904011204838753,
0.5439888834953308,
-0.14461800456047058,
-0.9713728427886963,
0.571601152420044,
0.7523322105407715,
-0.23964832723140717,
0.2588716149330139,
0.23290613293647766,
-0.45467913150787354,
-0.6930582523345947,
-0.427370220422... |
Detailed Instructions: In this task, you will be given a passage, a question and a list of single-word events identified from the passage. The goal is to point out all events from the given event list that can answer the question. If a question is unanswerable or none of the events answer the question, output should be... | 8 | NIv2 | task390_torque_text_span_selection | zs_opt | [
1.0128347873687744,
0.7965097427368164,
0.09198763966560364,
-0.6095969080924988,
-0.8914939165115356,
0.20101019740104675,
0.835129976272583,
-0.12453114986419678,
-0.4971853196620941,
0.04494608938694,
-0.2044607698917389,
-0.2737482190132141,
-0.8356670141220093,
0.5895520448684692,
-... | |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a review from Amazon and category of the product based on the review given by the user and your task is classify whether the given category match the review. Generate "True" if given review and its category match, ot... | True | 1 | NIv2 | task1308_amazonreview_category_classification | fs_opt | [
-0.4522770345211029,
0.2739258408546448,
-0.32190096378326416,
0.6476031541824341,
0.40513086318969727,
0.1954072266817093,
0.5574816465377808,
0.7428826093673706,
-0.08511635661125183,
0.41805320978164673,
0.30325478315353394,
0.2593189477920532,
-0.06434236466884613,
0.13289883732795715,... |
Detailed 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.
Q: The completion of the RMDP will help Nepa Ltd. to command a better presence in the market besides supporting employment in the ... | এছাড়াও, সংস্থার পুনরুজ্জীবন এবং আধুনিকীকরণ পরিকল্পনার কাজ সঠিক সময়ে শেষ হওয়ার পর নিপা লিমিটেডের কৌশলগত বিলগ্নিকরণেও অনুমতি পাওয়া গেছে। | 9 | NIv2 | task996_pib_translation_english_bengali | zs_opt | [
-0.06915657967329025,
0.8307448029518127,
0.5144248008728027,
-0.0020454535260796547,
-0.23972654342651367,
-0.6167290210723877,
1.0196055173873901,
0.29928094148635864,
0.5848388075828552,
-0.3190716505050659,
-0.7486716508865356,
-0.2811438739299774,
-0.5396732091903687,
0.14250549674034... |
You are given a password and you need to generate the number of steps required to convert the given password to a strong password. A password is considered strong if (a) it has at least 6 characters and at most 20 characters; (b) it contains at least one lowercase letter and one uppercase letter, and at least one digit... | Solution: 0 | 5 | NIv2 | task956_leetcode_420_strong_password_check | fs_opt | [
0.9492895603179932,
1.0038625001907349,
0.27900952100753784,
-0.5948973894119263,
0.087366983294487,
-0.19678522646427155,
1.4049994945526123,
-0.4010445177555084,
0.44845032691955566,
-0.9000285863876343,
0.08227883279323578,
-0.18603453040122986,
-0.9385213851928711,
-0.34864965081214905... |
Teacher:In this task, you will be shown a passage. You need to write a fill-in-the-gap question based on your understanding of the events that might be inferred from the passage. Your question should be answerable based on the passage and only have one correct answer. Show the gap in your question with a _ .
Teacher: N... | Mr Chalmers, who brought a bottle of champagne with him, walked over to where Milne was sitting and said 'Hello, I'm _, you know you could have just asked for my number.' | 6 | NIv2 | task301_record_question_generation | zs_opt | [
-0.05771908164024353,
-0.12170515209436417,
-0.27703309059143066,
-0.5682317018508911,
0.23976996541023254,
-0.7103179693222046,
0.7719354033470154,
0.589705765247345,
-0.07541468739509583,
-0.2775297164916992,
0.512747049331665,
1.0343068838119507,
-0.46907591819763184,
-0.040212534368038... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Arabic.
ر ب: من همینطور معتقدم که پدر بودن بی نهایت مهم است ، پس از وقتی که بچه ها خیلی کوچک بودند ، یعنی آن موقعی که به تعطیلات می روند ، منم با انها ت... | ر ب: أنا أيضا مؤمن أن كوني أبا هو أيضا أمرا هاما بشكل هائل, منذ كانوا أولادي صغارا جدا, أنت تعلم, عندما يكونوا فى اجازة أصبح في أجازة معهم. | 1 | NIv2 | task1268_ted_translation_fa_ar | zs_opt | [
-0.3901596963405609,
0.49027812480926514,
-0.37995678186416626,
0.2580842971801758,
-1.0917892456054688,
0.4680684804916382,
1.2393336296081543,
0.44386401772499084,
0.43285655975341797,
-0.19559958577156067,
-0.7821404933929443,
0.27136003971099854,
-0.7684683203697205,
0.1069602817296981... |
Teacher: In this task, you are given music product reviews in German language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Teacher: Now, understand the problem? If you are still confused, see the following... | NEG | 2 | NIv2 | task481_cls_german_music_classification | fs_opt | [
0.36541253328323364,
-0.05354871600866318,
-1.0157082080841064,
-0.014512773603200912,
0.5453230142593384,
-0.630791962146759,
1.3641493320465088,
0.7432082891464233,
0.10020510852336884,
0.448919415473938,
0.057044848799705505,
0.4511983394622803,
-0.10437556356191635,
0.01457571610808372... |
TASK DEFINITION: You are given a sentence in English. Your job is to translate the English sentence into Galician.
PROBLEM: It's great to let go.
SOLUTION: É xenial deixar ir.
PROBLEM: Others think it's too many refined grains and starches.
SOLUTION: Outros pensan que é o exceso de grans refinados e amidón.
PROBLEM... | Traducíase do latín e o grego para o árabe e o persa, e despois traduciuse para as linguas xermánicas europeas e para as linguas romances.
| 8 | NIv2 | task1090_ted_translation_en_gl | fs_opt | [
-0.11747477948665619,
0.46832677721977234,
0.3609007000923157,
-0.5343503952026367,
-0.5865819454193115,
-1.1009098291397095,
0.37106233835220337,
0.20098236203193665,
-0.3850195109844208,
-0.16688165068626404,
-0.5331728458404541,
0.7095102667808533,
-1.0686558485031128,
0.317404061555862... |
Given the task definition and input, reply with output. In this task, you will be shown a conversation and a question. You need to write an implausible answer to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. "W" and "M" in the conversations stand for "woman" and "man"... | He has never sent e-mail. | 5 | NIv2 | task283_dream_incorrect_answer_generation | zs_opt | [
-0.5468636751174927,
0.9323462247848511,
-0.051872000098228455,
-0.5790656805038452,
0.05876573175191879,
-0.05799334868788719,
0.7006982564926147,
0.07345668971538544,
0.7430548667907715,
-0.15389060974121094,
-0.8198279738426208,
-0.06392886489629745,
-0.3246215581893921,
-0.179967761039... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you need to remove all words of a given length in the sentence. The number of letters in a word determine its length, for example, the length of the word "apple" is 5.
Sentence: 'break... | couple of men on field with frisbee | 0 | NIv2 | task377_remove_words_of_given_length | fs_opt | [
0.2110530436038971,
0.5510550141334534,
-0.22468748688697815,
-0.5070836544036865,
0.29939135909080505,
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0.5149136781692505,
0.4440164566040039,
0.24967968463897705,
-0.43505746126174927,
-1.0306921005249023,
-0.671027660369873,
-0.5636475086212158,
-0.08903135359287262... |
Definition: In this task, you are given a sentence in English, and your task is to translate it into Persian.
Input: This grass is more beautiful to me now that I know why it is grass,
Output: | حالا که میدانم این علف چگونه علف شده است، | 2 | NIv2 | task661_mizan_en_fa_translation | zs_opt | [
-0.5079020261764526,
0.6056272983551025,
-0.2536049485206604,
-0.1781391203403473,
-0.8340051174163818,
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-0.12057293951511383,
1.2368394136428833,
0.779542088508606,
0.5133843421936035,
-1.146500587463379,
0.5629507899284363,
-0.26170867681503296,
0.4674108028411865,
... |
You are given a sentence in English. Your job is to translate the English sentence into Italian.
One example: Why? Because that profit allows whatever solution we've created to be infinitely scalable.
Solution is here: Perché? Perché quel profitto fa sì che qualunque soluzione da noi creata sia infinitamente riproducib... | La terza diminuisce, e la quarta e la quinta. | 6 | NIv2 | task1091_ted_translation_en_it | fs_opt | [
-0.12567192316055298,
0.535733699798584,
0.1611853986978531,
-0.09066931903362274,
-0.1733514964580536,
-0.7270879745483398,
0.3114570379257202,
1.0803440809249878,
0.1922324001789093,
0.10106828808784485,
-0.4870949685573578,
0.6462825536727905,
-0.5148517489433289,
0.05554866045713425,
... |
In this task, you're given a dialogue between a customer and a flight booking agent with a gap in the conversation. Your job is to find the answer of the previous dialogue. Avoid using irrelevant extra information while creating the answer. The answer should be relevant to the question before the blank. If you fill the... | customer: Thank you.
| 1 | NIv2 | task574_air_dialogue_sentence_generation | fs_opt | [
0.07849083840847015,
0.13316866755485535,
-1.0875847339630127,
-0.3973734378814697,
0.31421947479248047,
-0.06683726608753204,
1.0177135467529297,
0.29472726583480835,
-0.4103164076805115,
0.5537727475166321,
0.0900372564792633,
0.12992647290229797,
-0.26264843344688416,
0.0636459887027740... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Arabic.
Q: Sin embargo, Wagner hizo una innovación.
A: | و لكن إبتكر فاجنر شيئاً. | 9 | NIv2 | task1228_ted_translation_es_ar | zs_opt | [
-0.9743011593818665,
1.3135039806365967,
0.01980278082191944,
-0.31758439540863037,
0.04150354117155075,
-0.20746371150016785,
0.57734215259552,
1.2768476009368896,
0.8624757528305054,
-0.11623775213956833,
0.6659090518951416,
-0.3655415177345276,
-0.19849884510040283,
0.2871125340461731,
... |
Definition: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.
Input: passage: 2018 marks the 20th annual celebration of Take Your Dog To Work Day and the event is scheduled for Friday, June 22.
question: is today ... | No | 2 | NIv2 | task380_boolq_yes_no_question | zs_opt | [
-0.1757802963256836,
0.8814665079116821,
0.11707184463739395,
0.40026283264160156,
-0.6903282403945923,
-0.4903026223182678,
0.4973389506340027,
0.08559171855449677,
0.31515055894851685,
-0.050953373312950134,
-0.3315417766571045,
0.5870673656463623,
-0.018285322934389114,
0.04641353338956... |
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 pair of sentences, sentence 1 and sentence 2. Your job is to determine if the two sentences clearly agree/disagree with each other, or if this can't be determined. Indica... | yes | 0 | NIv2 | task199_mnli_classification | fs_opt | [
-0.7547431588172913,
0.47658318281173706,
0.5705220699310303,
-0.7975990772247314,
0.17136013507843018,
0.07135659456253052,
-0.03688538819551468,
0.16868561506271362,
0.5250611901283264,
-0.34358924627304077,
-0.2742137014865875,
-0.9866392612457275,
-0.09637569636106491,
0.46191322803497... |
Given a sentence in French, provide an equivalent paraphrased translation in Korean that retains the same meaning both through the translation and the paraphrase.
One example: La saison NBA 1975 - 76 était la 30e saison de la National Basketball Association.
Solution is here: National Basketball Association의 1975 - 76 ... | Kevin Lepage가 3 위, Terry Labonte가 4 위, Robby Gordon이 5 위를 차지했습니다. | 6 | NIv2 | task790_pawsx_french_korean_translation | fs_opt | [
0.0033236145973205566,
-0.14430566132068634,
-0.43874961137771606,
-0.38848480582237244,
0.4891038239002228,
-0.8226786851882935,
0.6590625047683716,
-0.1351885199546814,
-0.028299536556005478,
0.5285271406173706,
-0.04382186755537987,
0.9322664737701416,
-0.6319558620452881,
0.22058996558... |
instruction:
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 'first' key. If there is two dictionaries with the same 'first' valu... | [{'first': -57, 'second': -14}, {'first': -42, 'second': -46}, {'first': 42, 'second': 41}, {'first': 51, 'second': -5}, {'first': 67, 'second': 76}, {'first': 71, 'second': 59}, {'first': 99, 'second': 69}]
| 9 | NIv2 | task123_conala_sort_dictionary | fs_opt | [
0.22430475056171417,
-0.2536212205886841,
-0.16436979174613953,
-0.1608242690563202,
0.46634605526924133,
-0.2666745185852051,
0.771164059638977,
1.0188122987747192,
-0.14671258628368378,
-0.20021817088127136,
-0.6506562232971191,
-0.31671732664108276,
-0.5863528251647949,
0.15366581082344... |
A text is given in Tamil. Translate it from the Tamil language to the Telugu language. The translation must not omit or add information to the original sentence.
Example Input: தூய்மை இந்தியா இயக்கத்தில் ஏற்பட்டுள்ள முன்னேற்றத்தை உலக சுகாதார அமைப்பு போன்ற அமைப்புகள் பாராட்டியுள்ளதாகவும் அவர் தெரிவித்தார்.
Example Outp... | పలు అంతర్జాతీయ వేదికల్లో భారతదేశం ప్రాబల్యం పెరిగింది. అటువంటి వేదికల పై భారత్ తన వాదాన్ని బలంగా వినిపించ గలుగుతోంది.
| 3 | NIv2 | task1075_pib_translation_tamil_telugu | fs_opt | [
0.3841039538383484,
0.4832773804664612,
-0.2530384063720703,
0.45021292567253113,
0.2427685409784317,
-0.9607788324356079,
0.1526544690132141,
0.33113163709640503,
-0.5534507036209106,
0.5814048051834106,
-0.5844790935516357,
-0.16223962604999542,
-0.30358177423477173,
-0.3747037649154663,... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Japanese.
One example is below.
Q: Wszystko jest robione pomiędzy żebrami.
A: 全て肋骨の間から行うのです
Rationale: The Polish sentence is correctly translated into Japanese, because the meaning is preserved.
Q: Zapytajcie mnie.
A: | 芸術について私や | 9 | NIv2 | task1257_ted_translation_pl_ja | fs_opt | [
0.1019001379609108,
0.5492222309112549,
-0.17907685041427612,
0.23560741543769836,
0.1427007019519806,
-0.3645270764827728,
1.5394715070724487,
-0.7218915820121765,
-0.4012579917907715,
-0.7862097024917603,
0.03840497136116028,
0.3979763686656952,
-0.8930441737174988,
1.0804634094238281,
... |
Instructions: In this task, you're given a fill-in-the-blank question that contains two object names. Additionally, you're given one answer which is one of the objects present in the question. In this task, you need to minimally change the given question so that the answer flips to another object in the question. Remem... | He improvised on the piano more often than his guitar when writing new music because he learned to play the _ first. | 3 | NIv2 | task034_winogrande_question_modification_object | zs_opt | [
0.6844383478164673,
0.2650134563446045,
-0.03747602552175522,
-0.19906465709209442,
0.5835216045379639,
-0.7179522514343262,
0.9303075075149536,
1.0494685173034668,
-0.6646361351013184,
-0.26597175002098083,
-0.44041141867637634,
0.2763771116733551,
-0.5039454698562622,
-0.1192167550325393... |
Definition: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Arabic.
Input: y este es el City Hall Park.
Output: | و هذا منتزه سيتي هول. | 2 | NIv2 | task1228_ted_translation_es_ar | zs_opt | [
0.20758937299251556,
0.7278357744216919,
-0.11416655778884888,
-0.17611567676067352,
0.08974476903676987,
-0.2860616445541382,
0.19165641069412231,
0.7342272996902466,
0.9525755643844604,
-0.2514762282371521,
-0.3707396984100342,
0.5007498264312744,
-0.6168902516365051,
0.6450995206832886,... |
Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
Input: כעת, כוחן החתרני של שפות היה ידוע ומוכר לאורך הדורות בצנזורה, בספרים שלא יכולתם לקרוא, ביטויים בהם לא הורשתם להשתמש, ומילים שהיה אסור לומר.
Output: | O poder subversivo da linguaxe ten sido recoñecido ao longo da Historia na censura, en libros que non podiamos ler, frases que non podiamos usar e palabras que non podiamos dicir. | 3 | NIv2 | task1110_ted_translation_he_gl | zs_opt | [
-0.4716455638408661,
1.0361583232879639,
0.44046854972839355,
-0.8146525025367737,
-0.35016053915023804,
-0.49539774656295776,
-0.012121425941586494,
-0.16188646852970123,
0.30328574776649475,
-0.6922093033790588,
-0.9937760829925537,
-0.03543788194656372,
-1.0054845809936523,
-0.054437059... |
Teacher:In this task, you are given a sentence which is either in the Gujarati language or English language. You task is to identify the language of input sentence. Input sentence can be in Gujarari or English language only and also it cannot have two languages at a time.
Teacher: Now, understand the problem? Solve thi... | English | 6 | NIv2 | task441_eng_guj_parallel_corpus_gu-en_language_identification | zs_opt | [
-0.7995942234992981,
0.051929861307144165,
0.806618332862854,
-0.48503726720809937,
0.23552292585372925,
-0.6571972370147705,
-0.08376970887184143,
0.1548599898815155,
0.10684958100318909,
-0.5619550943374634,
-0.370169997215271,
-0.4297352433204651,
0.02677363157272339,
-0.408800601959228... |
Teacher:In this task, you need to reverse all words of a given length in the sentence. The number of letters in a word determine its length. For example, the length of the word "apple" is 5.
Teacher: Now, understand the problem? Solve this instance: Sentence: 'a boat with passengers on the water by the city'. Reverse a... | a boat with passengers on the retaw by the city | 6 | NIv2 | task378_reverse_words_of_given_length | zs_opt | [
0.028500135987997055,
0.2594614624977112,
-0.17522865533828735,
-0.7811154127120972,
-0.017888488247990608,
-0.6269923448562622,
0.19850480556488037,
0.5515301823616028,
0.13602937757968903,
-0.22074249386787415,
-0.8567526340484619,
-0.5664082765579224,
-0.5094305276870728,
-0.30652374029... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a 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.
อิตาลีได้เอาชนะโปรตุเกสด้วยค... | アメリカ合衆国地質調査所によれば、マグニチュード6.5の地震がインドネシアのスラウェシ島を襲った。 | 0 | NIv2 | task1128_alt_th_ja_translation | fs_opt | [
0.31778454780578613,
0.31450003385543823,
-0.675420343875885,
0.5422631502151489,
-0.009941383264958858,
-0.6570272445678711,
0.03985598683357239,
0.6854650974273682,
-0.13617931306362152,
-0.271773099899292,
-0.7014073133468628,
0.8004032969474792,
-0.17651605606079102,
0.3744368553161621... |
Given a sentence in Bulgarian, generate a new Bulgarian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of ... | И се надявайте да измиете килим в коша за боклук, и да го намажете в магазин за килими. | 4 | NIv2 | task415_mickey_bg_sentence_perturbation_generation | zs_opt | [
-0.33254942297935486,
0.5730763077735901,
-0.16672146320343018,
-0.27683600783348083,
-0.35828936100006104,
-0.3171822428703308,
0.3863039016723633,
0.8070441484451294,
0.08011247217655182,
-0.518699586391449,
-0.6121241450309753,
0.8733628392219543,
-1.10165536403656,
0.3759995698928833,
... |
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 Hebrew.
życiu stawić czoła Granicę przekrocz "" Będziesz wolna "", już ktoś tam woła. Kobiety nadziei Kobiety zm... | תודה על כל מה שאתם עושים. | 0 | NIv2 | task1260_ted_translation_pl_he | fs_opt | [
-0.51579749584198,
0.5807749032974243,
-0.4637559652328491,
-0.039707280695438385,
-0.13121241331100464,
-1.0835548639297485,
1.4217830896377563,
0.34501126408576965,
0.6127958297729492,
-0.26653262972831726,
-0.7065645456314087,
0.339417427778244,
-0.9493875503540039,
0.18645718693733215,... |
Definition: In this task, you're given an article, a question which often contains a blank, four options (associated with "A", "B", "C", "D") and the answer to that question. Your task is to classify whether the given answer is correct or not by providing "Yes" or "No", based on the article.
Input: Article: The first n... | No | 2 | NIv2 | task310_race_classification | zs_opt | [
0.34310439229011536,
0.08098143339157104,
0.2765025496482849,
0.678799033164978,
0.46622881293296814,
-0.5080214738845825,
0.07728271931409836,
0.44218701124191284,
0.28033578395843506,
0.26720917224884033,
-0.23925019800662994,
0.619322657585144,
-0.2697294354438782,
-0.2349529266357422,
... |
This task is in Spanish. Based on the given context, generate a question which can be answered by the given context. Generate a question that has more than 7 words. You can paraphrase the given context while forming the question.
Suggestion: The question may involve starting question words like WHERE, WHEN, HOW, WHAT ... | ¿Cómo son las mujeres según la cultura mexicana? | 8 | NIv2 | task1335_sqac_question_generation | fs_opt | [
0.7316269278526306,
0.17706772685050964,
-0.6756387948989868,
0.3048354983329773,
-0.22496247291564941,
0.11423702538013458,
0.49084722995758057,
1.3284921646118164,
0.4279173016548157,
-0.30239808559417725,
-0.49200236797332764,
0.5186709761619568,
-0.6600066423416138,
0.05433253943920135... |
In this task, you need to replace a letter in the sentence with another given letter.
One example: Sentence: 'group of motorcycle motorists trying to merge into traffic'. Replace the letter 'o' with 'n' in the sentence.
Solution is here: grnup nf mntnrcycle mntnrists trying tn merge intn traffic
Explanation: The letter... | a kivchen counver wivh a sink and a microwave | 6 | NIv2 | task160_replace_letter_in_a_sentence | fs_opt | [
-0.14454348385334015,
0.42880576848983765,
-0.5088831186294556,
-0.3089927136898041,
0.7184414863586426,
-0.3631499707698822,
-0.010893386788666248,
0.0485774390399456,
0.31992921233177185,
-0.05759109556674957,
-0.09679067879915237,
-0.43595969676971436,
-0.44418418407440186,
-0.473646581... |
In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Romanian language.
Q: World Cup live: France 0-0 Germany
A: | Cupa Mondială în direct: Franța-Germania 0-0 | 4 | NIv2 | task1436_ro_sts_parallel_language_translation_en_to_ro | zs_opt | [
0.1734260469675064,
0.9567751884460449,
0.0872635468840599,
-0.29148995876312256,
0.03479401022195816,
-0.41695326566696167,
0.2682676315307617,
0.3621126413345337,
0.47942206263542175,
0.29820516705513,
0.06237130984663963,
0.028797060251235962,
-0.38998210430145264,
-0.16344112157821655,... |
Q: Given a sentence, 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].
Verify if the sentiment of the following document towards the entity Stan Bowman is Positive . But 10 game... | yes | 7 | NIv2 | task422_persent_sentence_sentiment_verification | zs_opt | [
0.2503875195980072,
-0.33485352993011475,
-0.37450310587882996,
-0.312103271484375,
-0.259391188621521,
-1.633354902267456,
0.4964085817337036,
0.07018518447875977,
0.09189681708812714,
-0.32051414251327515,
-0.549811601638794,
0.19629189372062683,
-0.5720252990722656,
-0.09687116742134094... |
Given a sentence in Somali language, translate the sentence to English language keeping the meaning of the original sentence intact
Example input: Somali sentence: Lionel Messi waa ciyaaryahanka ugu weyn kubadda cagta abid
Example output: Lionel Messi is the greatest football player of all time
Example explanation: Th... | _ The Gospel of Matthew also contains this statement: | 3 | NIv2 | task450_opus_paracrawl_so_en_translation | fs_opt | [
-0.22477379441261292,
0.9541332125663757,
-0.5154291391372681,
-0.3727302551269531,
0.31993576884269714,
-1.4125480651855469,
-0.6706849336624146,
0.43980517983436584,
0.583004355430603,
-0.4235396385192871,
0.17431576550006866,
0.9844680428504944,
-0.6897501945495605,
-0.2756837010383606,... |
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... | Solution: Yes | 5 | NIv2 | task1202_atomic_classification_xneed | fs_opt | [
1.213594913482666,
-0.01380852609872818,
-0.2875009775161743,
0.11773504316806793,
-0.2935948073863983,
-1.1193442344665527,
1.3422869443893433,
0.7627710103988647,
-1.1835654973983765,
-0.3733338713645935,
-0.7221758365631104,
-0.16998624801635742,
-0.7179877758026123,
0.3008871078491211,... |
Instructions: In this task, you need to answer the given multiple-choice question on the general math. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Input: Problem: average between two sets of numbers is closer to the set withmore no ' s ?
Options: a ) 80 , b ) 90 , c ) 110 , d ) 120 , e ) 130
Output: | b | 3 | NIv2 | task1420_mathqa_general | zs_opt | [
-0.6649221181869507,
-0.2456221580505371,
-1.058746337890625,
-0.4457559883594513,
-0.07263641059398651,
-0.6007521748542786,
0.2174396812915802,
0.9579190015792847,
0.4247264266014099,
0.2308301329612732,
-0.4951815605163574,
0.3762538731098175,
-0.2973128855228424,
-0.11725831031799316,
... |
instruction:
In this task, you are given two sets, and a question. You need to find whether an element is at the intersection of two given sets. A Set is shown by two curly braces and comma-separated numbers inside, like {1, 2, 3}. The intersection of two given sets is the largest set which contains all the elements t... | Yes
| 9 | NIv2 | task245_check_presence_in_set_intersection | fs_opt | [
0.43276095390319824,
-0.07684330642223358,
-0.6567296981811523,
0.390138179063797,
-0.15101386606693268,
-0.693671703338623,
0.6616477370262146,
0.9246608018875122,
-0.3615843653678894,
-0.16607463359832764,
-0.47007817029953003,
0.17195266485214233,
0.005978647619485855,
-0.22505974769592... |
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.
Example input: Context_1 : Charles Edward Ives ( ; October 20, 1874May 19, 1954) was an Amer... | What do Germans KlausDietrich Flade and Ernst Messerschmid have in common? | 3 | NIv2 | task191_hotpotqa_question_generation | fs_opt | [
0.745692789554596,
0.427900493144989,
-0.881017804145813,
1.039865255355835,
0.5206602811813354,
-0.11661181598901749,
0.6148329973220825,
0.5391418933868408,
-0.020160004496574402,
0.36546868085861206,
-0.11550359427928925,
0.5607262253761292,
-1.0400713682174683,
-0.05674928426742554,
... |
Q: Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact.
Tagalog sentence: Karamihan sa mga matagumpay na tatak ay magsasabi sa lahat ng mga kuwento nang sabay-sabay sa iba’t ibang paraan at marahil sa buong iba’t ibang mga social channels.... | Most successful brands will tell all of these stories at once in different ways and perhaps across different social channels. | 7 | NIv2 | task451_opus_paracrawl_tl_en_translation | zs_opt | [
-0.3830887973308563,
0.732082724571228,
0.4010827839374542,
-0.8651989102363586,
0.0981917604804039,
-0.7119975090026855,
-0.1296951323747635,
0.5059890747070312,
-0.0052848272025585175,
-0.7286378741264343,
-0.15531577169895172,
0.3543442487716675,
-0.929280161857605,
0.16923004388809204,... |
Given news headlines, an edited word and funniness labels. The original sentence has word with the given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Your task is to generate answer "Yes" if an edited sentence matches funniness label, otherwise generate answer "No". ... | Yes | 0 | NIv2 | task496_semeval_answer_generation | zs_opt | [
-0.6452959775924683,
0.4941592812538147,
0.21639856696128845,
-0.36681362986564636,
-0.649151086807251,
-0.36767250299453735,
-0.5515928268432617,
0.3506809175014496,
0.020993683487176895,
-0.5526787042617798,
-0.4862675070762634,
-0.3587554097175598,
-0.8495000600814819,
0.240344479680061... |
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 write the character's motivation by doing a specific job, which is given in the sentence... | None | 7 | NIv2 | task294_storycommonsense_motiv_text_generation | zs_opt | [
-0.6017335653305054,
0.5100218057632446,
-0.04607326164841652,
-0.9438469409942627,
-0.0187489353120327,
-0.21698212623596191,
1.0098143815994263,
0.9649172425270081,
0.9799865484237671,
-0.2800021469593048,
-0.2569878399372101,
-0.8187092542648315,
-0.5856965184211731,
-0.0622540898621082... |
In this task you are given a sentence. You must judge whether the main verb of the sentence is in present or past tense. Label the instances as "Present" or "Past" based on your judgment. If there is no verb in the given text, answer "Present".
The wicked grin he gave her sent a wave of goose bumps shimmering across h... | Present | 0 | NIv2 | task429_senteval_tense | zs_opt | [
-1.2761669158935547,
0.9974504113197327,
0.4140458106994629,
-0.2910875082015991,
-0.10247570276260376,
-0.08654745668172836,
0.7702463865280151,
0.6617250442504883,
0.3817661702632904,
0.40641695261001587,
-0.6950223445892334,
0.17416241765022278,
-0.5066171884536743,
-0.20106682181358337... |
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