inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
Instructions: Given a part of privacy policy text, classify it into one of these categories:
(1) First Party Collection/Use (how and why a service provider collects user information),
(2) Third Party Sharing/Collection (how user information may be shared with or collected by third parties),
(3) User Choice/Contro... | First Party Collection/Use | 3 | NIv2 | task682_online_privacy_policy_text_classification | zs_opt | [
-0.7490256428718567,
-0.008130894973874092,
-0.7371111512184143,
0.1327287256717682,
-0.17273199558258057,
-0.6907483339309692,
-0.25607335567474365,
0.6479136943817139,
0.1436343938112259,
0.5171534419059753,
-0.014898993074893951,
0.2356666475534439,
-0.3692553639411926,
-0.4867730736732... |
Given the task definition, example input & output, solve the new input case.
Given a sentence with a missing word, pick the answer option that best fills out the missing word in the sentence. Indicate each answer with its index ('a', 'b', 'c', 'd').
Example: Female snakes incubate eggs inside of their bodies, giving bi... | a | 1 | NIv2 | task1360_numer_sense_multiple_choice_qa_generation | fs_opt | [
-0.5915254354476929,
0.3826135993003845,
-0.7446798086166382,
0.19651757180690765,
-0.03477128595113754,
0.11937857419252396,
0.47157442569732666,
0.8648506999015808,
0.019658878445625305,
0.21331638097763062,
0.08126316219568253,
-0.023330241441726685,
-0.5077170133590698,
-0.022068427875... |
Given the task definition and input, reply with output. In this task, you will be presented with a question in Dutch language, and you have to write the part-of-speech tag for each word and punctuation in the question. Here is the list of part-of-speech tags used in this task: Adj: Adjective, Adv: Adverb, Art: Article,... | Num N Adj V Pron Prep Pron N Adv Punc | 5 | NIv2 | task1543_conll2002_parts_of_speech_tagging_answer_generation | zs_opt | [
-0.8065953254699707,
0.8317627906799316,
0.30603891611099243,
-0.1475529670715332,
-0.5408671498298645,
0.011834814213216305,
0.33929264545440674,
0.02666742168366909,
0.358997106552124,
-0.676535964012146,
-0.2842486798763275,
0.654869556427002,
-0.3096923530101776,
0.15017452836036682,
... |
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 ... | run left thrice after walk opposite left
| 0 | NIv2 | task129_scan_long_text_generation_action_command_short | fs_opt | [
0.31785643100738525,
0.8332765102386475,
-0.45200860500335693,
0.16233572363853455,
-0.07696942239999771,
0.32923173904418945,
0.048586826771497726,
0.7208099365234375,
-0.24142076075077057,
-0.17451967298984528,
-0.8627789616584778,
-0.436391144990921,
-0.6996393203735352,
-0.029733998700... |
Given the task definition, example input & output, solve the new input case.
In this task you are given a tweet and you must identify whether the tweet contains any offense or any form of (untargeted) profanity. Label the post as NOT if the post does not contain offense or profanity. Non-offensive posts do not include... | NOT | 1 | NIv2 | task286_olid_offense_judgment | fs_opt | [
-0.8872613906860352,
0.5934382677078247,
0.3833455443382263,
0.24262362718582153,
-0.009616456925868988,
-0.1548304557800293,
0.1603226661682129,
0.38378098607063293,
0.20705465972423553,
-0.02239774353802204,
0.2913638949394226,
-0.1422271728515625,
-0.2101512849330902,
-0.754603266716003... |
instruction:
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.
question:
Given Relationship: 'be baptize in', Sentence: 'This was prophetically foretold when John baptized many believers in the Jordan .'
answer:
... | Located
| 9 | NIv2 | task678_ollie_actual_relationship_answer_generation | fs_opt | [
-0.14590862393379211,
0.9014087319374084,
-0.46291714906692505,
-0.17653346061706543,
-0.48047685623168945,
-1.3784856796264648,
0.11697344481945038,
0.8236899375915527,
-0.4150214195251465,
-0.05056820809841156,
-0.1994388997554779,
0.6505729556083679,
-0.3828940987586975,
0.4508987367153... |
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 four classes: Religious, Political, Geopolitical and Persona... | Personal | 6 | NIv2 | task1494_bengali_hate_speech_classification | fs_opt | [
-0.7182321548461914,
-0.008343983441591263,
0.36745932698249817,
0.3139408230781555,
-0.07514157891273499,
-0.8578780293464661,
0.1790647804737091,
0.14534972608089447,
-0.41881126165390015,
-0.011747496202588081,
-0.5932687520980835,
0.03717798739671707,
0.06447549164295197,
-0.5687007904... |
The input is a conversation between an automated system and a user looking for suggestions for pubs, restaurants and coffee shops in Cambridge. In the dialogue, the user may provide some criteria for the type of place they want such as price range, cuisine, etc. Given such a dialogue, output the price range the user if... | Expensive
| 7 | NIv2 | task1500_dstc3_classification | fs_opt | [
0.6878960132598877,
0.04665834829211235,
-0.2810874283313751,
-0.2150210589170456,
0.635396420955658,
-0.6156537532806396,
0.6375455856323242,
0.6640810370445251,
-0.07773789763450623,
0.19560323655605316,
0.36577892303466797,
0.2920783758163452,
-0.34588494896888733,
-0.04169953241944313,... |
Instructions: Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can be directly excluded without reasoning according to the context... | Insomnia is a food addiction . | 3 | NIv2 | task025_cosmosqa_incorrect_answer_generation | zs_opt | [
1.1803412437438965,
1.0841081142425537,
0.3074924647808075,
-0.42361581325531006,
-0.21491040289402008,
-0.6531381607055664,
0.934932291507721,
0.695743203163147,
-1.0175385475158691,
-0.3121304512023926,
-0.4332112967967987,
-0.2828161120414734,
-1.0391485691070557,
-0.02309805527329445,
... |
Given the task definition, example input & output, solve the new input case.
Given a phrase describing the relationship between two words, extract the words and the lexical relationship between them. The relation has to be of the type 'MemberOf', 'MadeOf', 'Synonym', 'Entails', 'HasA', 'HasProperty', 'PartOf', 'Antonym... | green IsA color | 1 | NIv2 | task1510_evalution_relation_extraction | fs_opt | [
-0.17459344863891602,
0.7856194376945496,
-0.1603947877883911,
-0.2971441149711609,
-0.27374503016471863,
0.33644047379493713,
0.06694073975086212,
0.6774462461471558,
0.7022095918655396,
-0.379956990480423,
-0.4833119809627533,
0.2455671727657318,
-0.09633070230484009,
-0.1371469497680664... |
In this task, you are given an article. Your task is to summarize the article in a sentence.
Input: Consider Input: Th 16-year-old victim, Brian Phimister, was a passenger in a BMW 3 Series car which left the A966 between Dysart and Coaltown of Wemyss at about 12:50.
He died at the scene while the 18-year-old driver w... | Output: Scientists will take to the stage in Cardiff pubs to tell people about their research.
| 2 | NIv2 | task1290_xsum_summarization | fs_opt | [
0.4983353614807129,
-0.17210176587104797,
0.34103256464004517,
-0.777226984500885,
0.4895271360874176,
-0.7791818976402283,
-0.258456826210022,
0.546992838382721,
-0.29679906368255615,
0.4218484163284302,
-0.4504197835922241,
1.5530612468719482,
-0.6535068154335022,
0.11313324421644211,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you need to count the number of nouns/verbs in the given sentence.
Sentence: 'A lunchbox with vegetables, fruit, a sandwich and a cup of tea'. Count the number of verbs in this sentence.
Output: | 0 | 1 | NIv2 | task155_count_nouns_verbs | zs_opt | [
-0.47123610973358154,
0.5543531179428101,
0.12685060501098633,
0.13640838861465454,
-0.6133995056152344,
0.44445380568504333,
0.2611238658428192,
0.7628186941146851,
-0.13691142201423645,
-0.4876949191093445,
-0.29339826107025146,
-1.048837423324585,
-0.40755146741867065,
-0.00452439486980... |
Definition: Given a category and a set of five words, find the word from the set that does not belong (i.e. is the least relevant) with the other words in the category. Words are separated by commas.
Input: Category: corporate
Words: unyielding, firm, llc, alignment, private
Output: | unyielding | 2 | NIv2 | task141_odd-man-out_classification_category | zs_opt | [
-0.7868140935897827,
0.6496335864067078,
-0.21113725006580353,
-0.05448134243488312,
0.2446160614490509,
0.48320943117141724,
0.2467603087425232,
-0.47867926955223083,
0.4568890929222107,
-0.5389093160629272,
-0.3693752884864807,
-0.38415610790252686,
-1.0825847387313843,
0.341824769973754... |
Detailed Instructions: In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the gendered pronouns in the text and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or uniden... | Unidentifiable | 9 | NIv2 | task351_winomt_classification_gender_identifiability_anti | zs_opt | [
-0.8806113004684448,
0.7022961378097534,
-0.3457745313644409,
-0.16811765730381012,
0.07016400992870331,
-0.1858474612236023,
-0.9501610398292542,
1.1457374095916748,
0.210567444562912,
0.3834039568901062,
-0.5800338983535767,
-0.28895923495292664,
-0.3223589360713959,
-0.4524880349636078,... |
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 neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly agree with each other. Generated sentences must be short, with less than 15 words... | A man playing a guitar as a man stands in front of him. | 5 | NIv2 | task188_snli_neutral_to_entailment_text_modification | zs_opt | [
-0.3673580288887024,
0.8930987119674683,
-0.5185211300849915,
-0.6100638508796692,
-0.09484999626874924,
-0.17580468952655792,
0.2122907191514969,
0.30895572900772095,
0.7168030738830566,
-0.28611990809440613,
-0.515151858329773,
-0.3572290539741516,
-0.1757788211107254,
-0.243523806333541... |
Teacher:In this task, you are given a sentence in the Swedish language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Teacher: Now, understand the problem? Solve this instance: Vilken å... | What is the Council' s opinion on this and is the Commissioner prepared to completely reconsider these points? | 6 | NIv2 | task312_europarl_sv_en_translation | zs_opt | [
-0.33810847997665405,
0.6839602589607239,
1.0158798694610596,
-1.0136024951934814,
0.41964325308799744,
-0.28535884618759155,
0.926925539970398,
0.972597599029541,
0.2769297659397125,
-0.2330048829317093,
0.2294110506772995,
0.3138427138328552,
-0.5309163928031921,
-0.5468981266021729,
-... |
In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the gendered pronouns in the text and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable.
Let me give ... | Identifiable | 8 | NIv2 | task351_winomt_classification_gender_identifiability_anti | fs_opt | [
-1.0064387321472168,
0.5203927755355835,
0.016012225300073624,
-0.4001248776912689,
0.17369720339775085,
-0.6297630667686462,
-0.23484021425247192,
1.2344253063201904,
0.6773209571838379,
0.2190217673778534,
-1.1583670377731323,
-0.10091868042945862,
-0.6073141098022461,
-0.378934085369110... |
Given the task definition and input, reply with output. In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify this question-answer pair into two categories: (1) "yes" if the given answer is right for question, and (2) "no" if the given answer is wro... | no | 5 | NIv2 | task241_tweetqa_classification | zs_opt | [
-1.3567487001419067,
0.3322935402393341,
-0.02295910194516182,
0.9342093467712402,
-0.4004976749420166,
0.1294163167476654,
0.25291329622268677,
0.8616657257080078,
0.5400283336639404,
0.26632413268089294,
-0.5296972393989563,
0.39451611042022705,
0.22285282611846924,
-0.7366296052932739,
... |
Q: 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 buildi... | look around left and run left thrice | 7 | NIv2 | task129_scan_long_text_generation_action_command_short | zs_opt | [
0.3514293432235718,
0.9056466221809387,
-0.38024696707725525,
0.25337207317352295,
-0.060073669999837875,
0.12331297993659973,
-0.19231131672859192,
0.7851930260658264,
-0.3954846262931824,
-0.13028940558433533,
-0.7874876260757446,
-0.3216119408607483,
-0.8836537599563599,
-0.007344766519... |
In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same length that is the largest across all words in that sentence.
Let me give you an ... | Yes | 8 | NIv2 | task114_is_the_given_word_longest | fs_opt | [
0.02587098255753517,
1.042055368423462,
-0.6227070689201355,
-0.045599184930324554,
-0.2332766056060791,
-0.4334941804409027,
0.7434337139129639,
-0.08460047096014023,
0.19906598329544067,
-0.7910283803939819,
-0.8243098855018616,
0.4781656265258789,
-0.2608233690261841,
-0.230692446231842... |
Given a question and its paraphrases, answer the question. The answer should exactly answer all the questions given without any ambiguity. Don't give partial answers.
[EX Q]: Questions: ['when did lebron james move to the miami heat?']
[EX A]: 2010-07-10
[EX Q]: Questions: ['when did michael jackson come out with his... | betty sue palmer
| 6 | NIv2 | task444_com_qa_question_paraphrases_answer_generation | fs_opt | [
0.4548245668411255,
0.01955827698111534,
-1.0816242694854736,
0.35215556621551514,
-1.1884596347808838,
-0.8271639347076416,
0.10116945952177048,
-0.17688977718353271,
0.17086078226566315,
0.04044807329773903,
0.17931421101093292,
-0.058421239256858826,
-1.0040451288223267,
0.0778985917568... |
TASK DEFINITION: In this task, you are given a context paragraph, a question based on that and corresponding answer of a question. Your task is to generate supporting fact/knowledge from context paragraph which helps in answering a given question.
PROBLEM: Rosamund Mary Ellen Pike (born 27 January 1979) is an English a... | White Magic is a psychedelic folk rock group formed in Brooklyn, New York City, and led by singerguitaristpianistcomposer Mira Billotte.
| 8 | NIv2 | task192_hotpotqa_sentence_generation | fs_opt | [
0.5139843821525574,
1.038269281387329,
-0.5990934371948242,
-0.0476827546954155,
0.13512654602527618,
-0.20101231336593628,
0.6794635653495789,
0.7275428771972656,
-0.07530291378498077,
0.22582481801509857,
-0.1273348033428192,
0.3206893801689148,
-0.7905728816986084,
0.028313666582107544,... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
Q: Nadal realizuję ten projekt, ale jest on już przestarzały, bo wszyscy to robią.
A: | אני עדיין ממשיך בפרוייקט, אבל הוא פג תוקף, מפני שכולכם עושים את זה. | 4 | NIv2 | task1260_ted_translation_pl_he | zs_opt | [
-0.8141855001449585,
0.707144021987915,
0.005204860586673021,
0.015365594998002052,
-0.4906821548938751,
0.022875700145959854,
1.0901243686676025,
0.6281085014343262,
0.18727412819862366,
-0.02632984146475792,
-0.4297700524330139,
0.5890973806381226,
-1.0822739601135254,
-0.148179695010185... |
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 end sentence choices from (A) and (B), such that the story does not sound complete and coherent, i.e., select an incorrect end sentence.
Let me... | A | 8 | NIv2 | task297_storycloze_incorrect_end_classification | fs_opt | [
-0.11135180294513702,
1.1277434825897217,
-0.39260390400886536,
-0.026881257072091103,
-0.2339562326669693,
-0.6764720678329468,
0.41873735189437866,
0.7281862497329712,
-0.12335284799337387,
0.5805850028991699,
-0.30134105682373047,
-0.29721954464912415,
-0.22553864121437073,
0.1121180728... |
Detailed Instructions: In this task, you're given a context, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both context and link info... | How many American soldiers were mobilized at the time Clark left to fight in the Border War? | 4 | NIv2 | task235_iirc_question_from_subtext_answer_generation | fs_opt | [
-0.27070173621177673,
0.8320939540863037,
-0.6090593338012695,
0.36534690856933594,
-0.04780399799346924,
-0.48828819394111633,
0.49199506640434265,
0.7784709334373474,
0.903253436088562,
-0.16614621877670288,
-0.7746607065200806,
0.1999688446521759,
-1.2149481773376465,
0.4118008613586426... |
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 man sitting in front of a laptop computer'. How many words end with the letter 'r' in the sentence.
1
Sentence: 'a man riding a skateboard while having a mohawk'. How many ... | 1
| 0 | NIv2 | task163_count_words_ending_with_letter | fs_opt | [
0.125043123960495,
1.0580785274505615,
-0.2973138093948364,
-0.3731116056442261,
-0.33768779039382935,
0.18353316187858582,
0.29833748936653137,
0.3804663419723511,
0.49965640902519226,
-0.18826135993003845,
-0.23203568160533905,
0.17450138926506042,
-0.7655364274978638,
0.0682623162865638... |
In this task, you are given a Reddit post as a text. Your task is to generate a short summary for this text. The summary must include a situation which caused humor. The summary should be one or two sentences long.
--------
Question: Text: this actually happened almost a month ago (new years eve to be exact). so i'm cu... | did topless yoga and my cat bit my nip then ran away.
| 7 | NIv2 | task511_reddit_tifu_long_text_summarization | fs_opt | [
0.2758101224899292,
0.12414303421974182,
-0.2433033287525177,
-0.5373668670654297,
0.49407869577407837,
-0.4461677074432373,
0.8851669430732727,
0.9632712602615356,
0.3658478856086731,
0.06394587457180023,
0.2612919211387634,
0.03496932238340378,
-0.6250654458999634,
0.1629244089126587,
... |
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 count the number of times the given letter appears in the given sentence.
Sentence: 'a large group of bananas proped up on several bicycles'. Find frequency of the letter '... | 3 | 0 | NIv2 | task113_count_frequency_of_letter | fs_opt | [
-0.29785189032554626,
0.13193988800048828,
-0.6253809332847595,
-0.20045053958892822,
0.40410083532333374,
-0.428702712059021,
0.5952795743942261,
1.0113215446472168,
-0.392279714345932,
0.3237186074256897,
-1.0748178958892822,
-0.0215911865234375,
-0.14878076314926147,
0.08606121689081192... |
In this task, you will be given a passage consisting of set of facts. The task is to create a question of form 'Where is <person_name>?' that is answerable from exactly one of the given facts. Avoid creating questions that are unanswerable from all of the facts.
Example: Passage: Mary moved to the bathroom. John went t... | Solution: Where is Sandra? | 5 | NIv2 | task082_babi_t1_single_supporting_fact_question_generation | fs_opt | [
0.46849724650382996,
0.678959846496582,
-1.0230536460876465,
-0.2806697487831116,
-0.27095144987106323,
-0.48085516691207886,
0.2862951159477234,
0.29290005564689636,
0.13604366779327393,
-0.050595082342624664,
-0.1549018919467926,
0.16367492079734802,
-0.11246219277381897,
-0.231635674834... |
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 choice as `a` for Yes or... | a
| 0 | NIv2 | task232_iirc_link_number_classification | fs_opt | [
0.6511373519897461,
-0.1732487976551056,
-0.5482878088951111,
0.29113250970840454,
0.6779292821884155,
-0.6703096628189087,
1.06759774684906,
0.6762100458145142,
-0.6073232293128967,
0.3390718102455139,
-0.20374920964241028,
0.761039674282074,
-0.9260205030441284,
0.38854843378067017,
0.... |
Definition: In this task you will be given a list of integers. You should remove any integer that is not prime. A prime integer is an integer that is only divisible by '1' and itself. The output should be the list of prime numbers in the input list. If there are no primes in the input list an empty list ("[]") should b... | [929, 269, 103, 31, 37, 367, 449] | 2 | NIv2 | task366_synthetic_return_primes | zs_opt | [
-0.3982505798339844,
0.12705406546592712,
-0.5547469854354858,
-0.40460145473480225,
0.11954265832901001,
0.4541376829147339,
0.2871592044830322,
0.49141618609428406,
-0.005777731537818909,
0.19297318160533905,
-1.4003262519836426,
-0.5754110813140869,
-0.32569706439971924,
-0.303691923618... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
Example: Media łączyły się z nami.
Output: Os "" media "" interligavam-se connosco.
The Polish sentence is correctly translated into Portugese, be... | Felizmente, agora que a tecnologia já percorreu um longo caminho, podemos avaliar vários tipos de trabalhos. | 1 | NIv2 | task1264_ted_translation_pl_pt | fs_opt | [
-0.22946229577064514,
0.8918653726577759,
-0.16954511404037476,
-0.29050150513648987,
0.07669232040643692,
0.3491149842739105,
0.2412339150905609,
0.44442564249038696,
0.3056778609752655,
-0.22358176112174988,
-0.20583990216255188,
0.7489567399024963,
-0.3895496129989624,
-0.18133738636970... |
Part 1. Definition
A text is given in Gujarati. Translate it from the Gujarati language to the Panjabi language. The translation must not omit or add information to the original sentence.
Part 2. Example
ਆਮਦਨ ਟੈਕਸ ਐਕਟ ਦੀ ਧਾਰਾ 50ਸੀਏ ਅਤੇ 56 ਦੇ ਦੁਰਵਿਵਹਾਰ ਵਿਰੋਧੀ ਪ੍ਰਾਵਧਾਨਾਂ ਤੋਂ ਉਚਿਤ ਸ਼੍ਰੇਣੀਆਂ ਦੇ ਵਿਅਕਤੀਆਂ ਨੂੰ ਛੋਟ।
Answer: આવ... | એનડીએ સરકારના મંત્રીમંડળની પ્રથમ બેઠકમાં કરોડો ખેડૂતોને પેન્શનનું કવચ આપવાનો સીમાચિહ્નરૂપ નિર્ણય લેવાયો | 7 | NIv2 | task1044_pib_translation_punjabi_gujarati | fs_opt | [
-0.036392614245414734,
0.20136167109012604,
0.5855813026428223,
0.12364067137241364,
0.13800013065338135,
-0.8586311936378479,
0.7438188791275024,
0.9842484593391418,
-0.07212015241384506,
0.579184353351593,
-0.32311904430389404,
-0.7202480435371399,
-0.9799906015396118,
0.1285845339298248... |
Detailed Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Q: Están en NewAmerica.net.
A: | NewAmerica.net をご覧ください | 9 | NIv2 | task1239_ted_translation_gl_ja | zs_opt | [
-0.6377812623977661,
0.22748792171478271,
-0.015510758385062218,
-0.7162743806838989,
0.23412419855594635,
-0.6680734753608704,
0.4949771761894226,
0.29014188051223755,
0.13667936623096466,
-0.5359975695610046,
0.47414106130599976,
-0.6050653457641602,
-0.33280906081199646,
0.3625859320163... |
Detailed Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into English.
See one example below:
Problem: در جنوب غرب نیجریه ، این گیاه به عنوان Gbe'borun شناخته می شود.
Solution: In the southwestern part of Nigeria, the plant is known as Gbe'borun.
Explanation: The Farsi s... | Maybe you breathe by having oxygen flow through your blood instead of through your lungs. | 4 | NIv2 | task1265_ted_translation_fa_en | fs_opt | [
-0.4365370273590088,
0.30965542793273926,
-0.34354180097579956,
-0.4097699522972107,
0.022513631731271744,
-0.5323292016983032,
1.3025989532470703,
-0.15703561902046204,
0.10092727094888687,
0.3671053647994995,
-1.0153005123138428,
0.0012238961644470692,
-0.6523270010948181,
0.499918043613... |
Teacher: Given an adjective, generate its antonym. An antonym of a word is a word opposite in meaning to it.
Teacher: Now, understand the problem? If you are still confused, see the following example:
able
Solution: unable
Reason: The output is correct as able and unable are opposities of each other in meaning.
Now, s... | instrumental | 2 | NIv2 | task1508_wordnet_antonyms | fs_opt | [
0.910247802734375,
1.6699190139770508,
1.2286348342895508,
-0.3770047426223755,
-0.19799719750881195,
-1.229978322982788,
-0.4014183282852173,
0.7795246839523315,
0.3143848180770874,
-0.6022802591323853,
-0.5313706398010254,
-0.37629061937332153,
-0.9407801032066345,
-0.3335192799568176,
... |
Detailed Instructions: In this task, you will be given two sentences sentence1 and sentence2. You should decide whether the second sentence is entailed(agreed) by the first sentence. If it does entail, answer "yes", else answer "no".
Q: sentence1:person wins victory over person sentence1:person is defeating person
A: | yes | 9 | NIv2 | task970_sherliic_causal_relationship | zs_opt | [
-0.5237072706222534,
0.7992556095123291,
0.21003998816013336,
-0.4168911576271057,
-0.11263632774353027,
-1.0451064109802246,
0.4138640761375427,
0.7088594436645508,
0.7217252254486084,
-0.39035364985466003,
-0.4526239335536957,
-0.7305279970169067,
-0.6975057125091553,
-0.1626031845808029... |
In this task, you are given inputs 'i', 'j', and A, where 'i' and 'j' are integers and A is a list. A list is shown by two brackets and comma-separated numbers and characters inside, like ['1', '12', 'l']. You need to concatenate all elements of A from the ith element to the jth element, and then reverse the resulting ... | M5226 | 4 | NIv2 | task267_concatenate_and_reverse_all_elements_from_index_i_to_j | zs_opt | [
-0.055196113884449005,
0.5709848999977112,
-0.35712888836860657,
-0.4301008880138397,
0.1907835602760315,
0.220701202750206,
0.6474458575248718,
0.1468832790851593,
-0.5289306640625,
0.011927379295229912,
-1.096773624420166,
0.14196255803108215,
0.21239235997200012,
-0.41899245977401733,
... |
TASK DEFINITION: You are given a sentence in English. Your job is to translate the English sentence into Portugese.
PROBLEM: They feel fear and doubt. They procrastinate.
SOLUTION: Têm medos e dúvidas. Procrastinam.
PROBLEM: And so if you hear an expert talking about the Internet and saying it can do this, or it does... | A compaixão também é assim.
| 8 | NIv2 | task1094_ted_translation_en_pt | fs_opt | [
0.1038975864648819,
0.5336652398109436,
0.5500547885894775,
-0.666184663772583,
-0.31881004571914673,
0.21122196316719055,
0.9195868968963623,
0.6851866841316223,
0.6727986335754395,
0.17239639163017273,
-0.6807230114936829,
0.7289751768112183,
-0.8098809123039246,
-0.34456855058670044,
... |
This task is about translating a given French language sentence to English.
Example Input: Voilà qui ne manquera pas de vous rendre plutôt triste si je le laisse jouer.
Example Output: (Albinoni's Adagio) This is guaranteed to make most of you feel pretty sad if I leave it on.
Example Input: Ca m'a pris si lontemps j... | Eventually, just ringing the bell made the dogs salivate.
| 3 | NIv2 | task1690_qed_amara_translation | fs_opt | [
-0.30318140983581543,
0.6669551134109497,
-0.3602393865585327,
0.031092936173081398,
-0.09887449443340302,
-0.8174357414245605,
1.1325119733810425,
0.005195183213800192,
-0.06659886240959167,
-0.4149474501609802,
0.10366293787956238,
0.665273904800415,
-0.7731673717498779,
0.29911425709724... |
Q: You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
Pierwotnie został zaprojektowany dla przybrzeżnego przemysłu naftowego z przeznaczeniem do użytku na platformach wiertniczych na głębokościach do ok. 600 metrów.
A: | היא פותחה למעשה לשימוש בתעשיית הנפט הימית בשביל צלילה במתקני קדיחה עד לעומק של 2,000 רגל. | 7 | NIv2 | task1260_ted_translation_pl_he | zs_opt | [
-0.9024696350097656,
0.23828013241291046,
-0.27787816524505615,
0.38137948513031006,
0.3232231140136719,
-0.05318127200007439,
0.3520311117172241,
-0.4132969379425049,
0.7120289206504822,
-0.0777350664138794,
-0.6370917558670044,
0.5165408253669739,
-0.7512714266777039,
-0.2886574566364288... |
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 at 1, so the first eleme... | [18, -21, -20, -18, -25, 14] | 4 | NIv2 | task096_conala_list_index_subtraction | zs_opt | [
0.026611588895320892,
0.2891903817653656,
-0.5623583793640137,
-0.4221417307853699,
0.13492846488952637,
-0.39062047004699707,
1.3832011222839355,
0.3370083272457123,
0.04854359105229378,
-0.21115560829639435,
-0.6472652554512024,
0.010771682485938072,
-0.5510707497596741,
0.29109448194503... |
You will be given a definition of a task first, then some input of the task.
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.
Context: Elisabeth of Nuremberg (1358 -- 26 July 1411) was ... | elisabeth of meissen | 1 | NIv2 | task469_mrqa_answer_generation | zs_opt | [
0.494839608669281,
0.6635539531707764,
-0.1774693727493286,
-0.046214085072278976,
-0.544111967086792,
0.3849586248397827,
0.5113904476165771,
0.8025021553039551,
1.3058295249938965,
-0.054435789585113525,
0.3350182771682739,
-0.16093294322490692,
-0.4642946124076843,
0.21737918257713318,
... |
Given a paragraph from a Wikipedia article about some topic, and a question related to the topic, determine whether the question is answerable from the paragraph. If the question is answerable, answer "True", otherwise, answer "False".
Q: Dating violence is fairly prevalent within adolescent relationships. When surveye... | True | 4 | NIv2 | task1640_aqa1.0_answerable_unanswerable_question_classification | zs_opt | [
0.21285676956176758,
0.5960485935211182,
-0.16827717423439026,
-0.28244084119796753,
-0.5342520475387573,
-0.8244200944900513,
1.3885455131530762,
0.6228786706924438,
0.14414173364639282,
-0.033308520913124084,
-0.27333539724349976,
0.41790318489074707,
-0.7622904777526855,
-0.059232022613... |
Instructions: In this task, you are given music product reviews in French 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.
Input: Il manque un morceau !!!!!! . Je suis assez déçu du fait qu'il manque ... | NEG | 3 | NIv2 | task484_cls_french_music_classification | zs_opt | [
-0.2435334324836731,
-0.42897164821624756,
0.05528811365365982,
0.3947991728782654,
1.0123159885406494,
-0.6718592643737793,
0.8536854386329651,
0.09279915690422058,
-0.2698215842247009,
1.2899913787841797,
-0.5121750831604004,
-0.589116632938385,
0.17055743932724,
-0.3682260513305664,
0... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence and a question in the input. If the information provided in the sentence is enough to answer the question, label "Yes", otherwise label "No". Do not use any facts other than those provided in the sentence while labelin... | No. | 1 | NIv2 | task050_multirc_answerability | zs_opt | [
-0.7747301459312439,
0.6027035713195801,
-0.09773142635822296,
0.8368208408355713,
0.06306430697441101,
-0.8944444060325623,
0.37652260065078735,
0.9736858606338501,
0.32375240325927734,
-0.07358236610889435,
-0.16978086531162262,
-0.1107543334364891,
0.15330937504768372,
-0.29319611191749... |
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 | 0 | NIv2 | task1207_atomic_classification_atlocation | zs_opt | [
0.0923037976026535,
0.2862167954444885,
0.47742217779159546,
-0.21288157999515533,
-0.44905000925064087,
-0.3369777798652649,
1.2297993898391724,
0.46943819522857666,
-0.5551256537437439,
-0.4981335401535034,
-0.5697392821311951,
-0.5453200340270996,
-0.766765832901001,
0.4192676544189453,... |
In this task, you are given two facts, and a multiple-choice question. Based on the given facts, answer the question with index of the correct option (e.g, "A").
[Q]: Fact1: Some arthropods have special excretory structures., Fact2: All insects are arthropods., Question: what sometimes has special excretory structures... | F
| 5 | NIv2 | task1297_qasc_question_answering | fs_opt | [
0.12746766209602356,
-0.31203293800354004,
-0.3444475531578064,
0.2493898868560791,
-0.22655454277992249,
-0.6068738698959351,
-0.37359052896499634,
1.0313857793807983,
-0.591338038444519,
-0.18592241406440735,
-0.8094770908355713,
0.06315436959266663,
-0.6538599729537964,
-0.1555331051349... |
Teacher:You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
Teacher: Now, understand the problem? Solve this instance: (Risate) Non vi farò male. Non preoccupatevi.
Student: | (Risos) Non vos vou facer dano. Non vos preocupedes. | 6 | NIv2 | task1252_ted_translation_it_gl | zs_opt | [
-0.40996041893959045,
1.1983513832092285,
0.17126713693141937,
-0.9145247340202332,
-0.3067660331726074,
-0.9770811796188354,
0.39366668462753296,
0.8623306155204773,
-0.25271302461624146,
0.21475663781166077,
-0.4634847640991211,
-0.08256520330905914,
-0.8195277452468872,
-0.3343601822853... |
Instructions: In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural language interpretation. Define body (contains a collection of stateme... | eq { hop { nth_argmin { all_rows ; pick ; 1 } ; nationality } ; canada } | 3 | NIv2 | task210_logic2text_structured_text_generation | zs_opt | [
0.41797342896461487,
0.0017585488967597485,
-0.5003296136856079,
0.44097691774368286,
0.11931876093149185,
-0.3822013735771179,
0.6649379134178162,
0.6123824715614319,
0.07248178124427795,
-0.07383789122104645,
-0.2598729729652405,
-0.11074355244636536,
-0.062251344323158264,
0.59997016191... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Polish.
[EX Q]: وعندما نحاول ان نمثل هذه الروابط بصورة مرئية.. اقصد الروابط التي نرتبط بها اليوم.. فاننا سنحصل.. هذه صورة توضح عمل الانترنت.. ان هذه الصورة لا تبدو صورة من صور التكنولوجيا..
[EX A]: Gdyśmy chcieli przedstawić wszystki... | Koncentrujemy się więc na ciężkich przypadkach, a innych zapisujemy na wizytę na kolejny dzień.
| 6 | NIv2 | task1107_ted_translation_ar_pl | fs_opt | [
-0.7001581192016602,
0.9385364055633545,
-0.16083431243896484,
-0.7926987409591675,
-0.830074667930603,
0.08352507650852203,
1.3398176431655884,
0.6087702512741089,
0.1034933477640152,
-0.16061802208423615,
-0.2804092764854431,
0.1746949404478073,
-0.24585719406604767,
0.5753344297409058,
... |
Q: Translation from English to Telugu.
- Hey, Tiffany!
A: | - హే, Tiffany! | 7 | NIv2 | task1330_open_subtitles_en_te_translation | zs_opt | [
0.4580444395542145,
0.49238112568855286,
-0.05995754152536392,
0.37834590673446655,
0.46184515953063965,
-1.0675463676452637,
0.1531813144683838,
0.24524849653244019,
0.38774222135543823,
0.613632321357727,
0.15350225567817688,
0.034016139805316925,
-1.2900303602218628,
0.7862953543663025,... |
Part 1. Definition
You are given a sentence in Galician. Your job is to translate the Galician sentence into Arabic.
Part 2. Example
É basicamente un caldeiro que rota.
Answer: ويوجد أساسا مرجل دوار.
Explanation: The Galician sentence is correctly translated into Arabic, because the meaning is preserved.
Part 3. Exerci... | (ضحك) لكن ما قصده هو ان ما قمنا به ، فى الواقع هو جمع طوابع من هناك — | 7 | NIv2 | task1241_ted_translation_gl_ar | fs_opt | [
-0.4026506245136261,
0.717491865158081,
0.1701226830482483,
-1.0302976369857788,
0.006628621369600296,
0.030030537396669388,
1.323033094406128,
-0.28797581791877747,
-0.10195285081863403,
-0.03346741944551468,
-0.7010907530784607,
-0.27003732323646545,
-1.0442087650299072,
0.46080550551414... |
The task is to generate text based off of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons intent behind doing the event, i.e. why did the person do that action.
PersonX maintains PersonY level | to follow persony | 0 | NIv2 | task1596_event2mind_text_generation_2 | zs_opt | [
-0.28171125054359436,
0.4523371458053589,
-0.08284123241901398,
-0.4368087649345398,
-0.4627615213394165,
-0.0715765729546547,
1.0395503044128418,
0.2895086109638214,
0.0566466748714447,
-0.5664513111114502,
-0.3337889313697815,
-0.2938186228275299,
-0.7599016427993774,
0.5103081464767456,... |
You are given a sentence in English. Your job is to translate the English sentence into Arabic.
Input: Consider Input: I got on the phone and emailed to friends and colleagues.
Output: رفعت السماعة واتصلت على أصدقاء وزملاء.
Input: Consider Input: Before I start that, just so you know, each time we go to a place, we... | Output: ستستبعد القفازات في غضون أشهر أو سنوات.
| 2 | NIv2 | task1220_ted_translation_en_ar | fs_opt | [
-0.2568897008895874,
0.9509842395782471,
-0.5298326015472412,
-0.8140711784362793,
0.0970054417848587,
-0.8248342275619507,
0.5694484710693359,
-0.3294769823551178,
0.41569530963897705,
0.08927251398563385,
-0.32897570729255676,
0.6718539595603943,
-0.613702654838562,
-0.5501461029052734,
... |
Instructions: Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels (reason) ... | ['NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'C... | 3 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | zs_opt | [
0.5655984878540039,
-0.09327977895736694,
0.11442267149686813,
-0.042686060070991516,
0.5342609882354736,
-0.7910089492797852,
0.26050013303756714,
0.9964426755905151,
-0.47082358598709106,
-0.02072107419371605,
-0.2731829285621643,
-0.5862614512443542,
-0.3340230882167816,
-0.216369286179... |
In this task, you are given two strings A, B. Find the longest common substring in the strings A and B.
--------
Question: VRXUhOYfTul, JqZUhOYKq
Answer: UhOY
Question: nxoXDohHr, WcbkXDohFbJ
Answer: XDoh
Question: iugHIXitDRaXJJyo, NRTkrHgHIXitDRXOSk
Answer: | gHIXitDR
| 7 | NIv2 | task600_find_the_longest_common_substring_in_two_strings | fs_opt | [
-0.5460793972015381,
1.4530699253082275,
0.08507118374109268,
-0.406953364610672,
-0.5495755672454834,
0.19169268012046814,
0.5231519937515259,
-0.5668363571166992,
-0.039758868515491486,
-0.8233193755149841,
-0.6097003221511841,
-0.7391188740730286,
-0.2555358409881592,
0.0678407102823257... |
instruction:
You are given a target race, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-stereotype ... | anti-stereotype
| 9 | NIv2 | task320_stereoset_classification_race | fs_opt | [
-0.45734331011772156,
0.4504227638244629,
0.1290634423494339,
-0.1281592845916748,
0.15217718482017517,
-0.08410484343767166,
0.4944528043270111,
0.8787719011306763,
0.34812045097351074,
-0.2808905243873596,
-0.6247109770774841,
-0.341423898935318,
-0.6244390606880188,
-0.16896280646324158... |
Q: A text is given in Gujarati. Translate it from the Gujarati language to the Urdu language. The translation must not omit or add information to the original sentence.
o યુવાનો અને સમાજને હકારાત્મક ગાંધીવાદી મૂલ્યો પ્રત્યે સંવેદનશીલ બનાવવા માટે રાષ્ટ્રીય વિજ્ઞાન સંગ્રહાલય પરિષદ દ્વારા ગાંધી પીડીયાનો વિકાસ કરવામાં આવ્ય... | گاندھیائی قدروں کے تئیں نو جوانوں اور سماج میں بیداری پیدا کرنے کے لئے نیشنل کونسل فار سائنس میوزیم کے ذریعہ گاندھی پیڈیا تیار کیا جائے گا ۔ | 7 | NIv2 | task1001_pib_translation_gujarati_urdu | zs_opt | [
-1.0422048568725586,
0.03800719976425171,
-0.4338253140449524,
-0.43498167395591736,
-0.4957980513572693,
-1.6457747220993042,
-0.15697965025901794,
-0.42510488629341125,
0.5267709493637085,
-0.17515705525875092,
-0.802383542060852,
-0.17922164499759674,
-0.061709318310022354,
-0.018814334... |
Teacher: In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
Teacher: Now, understand the problem? If ... | [-588, 280440, 7053750] | 2 | NIv2 | task371_synthetic_product_of_list | fs_opt | [
0.15319108963012695,
0.494099497795105,
-0.40857240557670593,
-0.34805530309677124,
0.3527953028678894,
-0.15967577695846558,
0.772456169128418,
0.6193834543228149,
-0.16016972064971924,
-0.05785113573074341,
-0.4680907726287842,
-0.4654133915901184,
-0.5250805616378784,
-0.868364572525024... |
Q: In this task, you are given two natural language statements with similar wording. You must choose the statement that makes less sense based on common sense knowledge. A '
' separates the statements. Use "first" or "second" to indicate which sentence makes less sense.
The monkey ate a turkey.
The monkey ate a banana.... | first | 7 | NIv2 | task291_semeval_2020_task4_commonsense_validation | zs_opt | [
-0.016273874789476395,
0.5002065896987915,
0.06835512816905975,
-0.29046767950057983,
-0.4630395472049713,
-0.12439831346273422,
-0.17310670018196106,
0.5102162957191467,
0.23849239945411682,
-0.1361105740070343,
-0.10695280134677887,
-0.8249794244766235,
-0.9601695537567139,
0.11505125463... |
Detailed Instructions: Given a sentence in English language, translate the sentence to Somali language keeping the meaning of the original sentence intact
Q: English sentence: 22 And the earth shall hear the core, and the wine, and the oil, and these shall hear Jezrahel.
A: | 22 Oo dhulkuna wuxuu u jawaabi doonaa hadhuudhka, iyo khamriga, iyo saliidda, oo iyaguna waxay u jawaabi doonaan Yesreceel. | 9 | NIv2 | task446_opus_paracrawl_en_so_translation | zs_opt | [
0.008578391745686531,
1.239281177520752,
0.00047127087600529194,
-0.38304129242897034,
-0.23530730605125427,
-1.6075513362884521,
0.673403799533844,
0.563328742980957,
0.04209284484386444,
0.23757556080818176,
0.3674072325229645,
0.41386163234710693,
-1.5550856590270996,
-0.214849308133125... |
Detailed Instructions: In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
Q: Are angiosperms C3 or C4 plants?, Context: Some chloroplasts contain a structure called the chloroplast peripheral reticulum. It is often found in the chloroplasts of C4 pl... | C3 | 9 | NIv2 | task1295_adversarial_qa_question_answering | zs_opt | [
0.1033763587474823,
0.6809109449386597,
-0.5835014581680298,
-0.19795477390289307,
-0.011362675577402115,
-0.5619187355041504,
-0.2166150063276291,
0.4927818179130554,
-0.40501272678375244,
0.3470515012741089,
-0.5614322423934937,
-0.369463711977005,
-0.3382563889026642,
0.1592764556407928... |
Teacher:This task is about creating an unanswerable question based on a given passage. Construct a question that looks relevant to the given context but is unanswerable. Following are a few suggestions about how to create unanswerable questions:
(i) create questions which require satisfying a constraint that is not men... | When did the first SDTV transmissions happen in Europe? | 6 | NIv2 | task348_squad2.0_unanswerable_question_generation | zs_opt | [
0.23297005891799927,
0.28254058957099915,
-0.6153115630149841,
0.4199800491333008,
-0.033778972923755646,
0.72457355260849,
0.9693951606750488,
1.2695233821868896,
0.09415686130523682,
0.45245230197906494,
-0.5552284717559814,
0.692136287689209,
-0.5762513279914856,
0.16768300533294678,
... |
This task is about identifying the object of a given sentence. The object of a sentence is the person or thing that receives the action of the verb. It is the who or what that the subject does something to. Each sentence in this task is guaranteed to contain a single object. The input is a sentence and the output is th... | Tacoma, Washington
| 7 | NIv2 | task1413_dart_object_identification | fs_opt | [
-0.33898991346359253,
0.852088987827301,
-0.05980750918388367,
-0.2367473542690277,
-0.3508303463459015,
-0.5612190961837769,
0.8452001810073853,
0.31585755944252014,
-0.2755323648452759,
-0.3946938216686249,
-0.7830740809440613,
-0.4356350302696228,
-0.44645047187805176,
0.183230429887771... |
In this task, you are given a sentence and a gender. The sentence mentions two professions: one's gender is unknown and the other's gender can be identified using the gendered pronouns that refer to them in the text. You are expected to return the profession with the given gender.
Example Input: Sentence: The nurse sm... | Nurse
| 3 | NIv2 | task342_winomt_classification_profession_pro | fs_opt | [
-1.420396327972412,
0.6830933690071106,
-0.40795356035232544,
-0.8460648059844971,
0.3213454782962799,
-0.35478031635284424,
0.17830988764762878,
0.9020595550537109,
0.8559819459915161,
0.003053441643714905,
-1.3611373901367188,
0.3393566608428955,
-0.3996601104736328,
-0.15926194190979004... |
Instructions: Given a sentence in Italian, generate a new Italian 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 proba... | Puoi usare una classe per iniziare una scuola. | 3 | NIv2 | task408_mickey_it_sentence_perturbation_generation | zs_opt | [
-0.2379283756017685,
0.5645272731781006,
0.050560008734464645,
-0.13577485084533691,
-0.1353061944246292,
-0.24838533997535706,
0.27518701553344727,
1.5683879852294922,
-0.0029788182582706213,
-0.6097944378852844,
-0.6044785976409912,
0.10789540410041809,
-0.18600139021873474,
-0.199556902... |
Instructions: In this task, you have to generate the title of the recipe given its required ingredients and directions.
Input: ingredients: '1/4 pound bacon', '1 cup fresh bread crumbs', '2 large Vidalia onions, peeled and sliced into 1/4-inch thick rounds', '4 large green tomatoes, sliced 1/4-inch thick', 'Kosher sal... | Green Tomato and Vidalia Onion Gratin | 3 | NIv2 | task569_recipe_nlg_text_generation | zs_opt | [
0.9554216861724854,
0.604288637638092,
-0.886221170425415,
0.5532408952713013,
-0.0044317059218883514,
0.3399887681007385,
0.6616625785827637,
0.9505406618118286,
-0.037078894674777985,
-0.3167581558227539,
0.11615975946187973,
0.24511748552322388,
-0.30348894000053406,
0.36336231231689453... |
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.
[Q]: Senten... | C
| 5 | NIv2 | task190_snli_classification | fs_opt | [
-0.48819807171821594,
0.8794646859169006,
-0.013728046789765358,
-0.8932693004608154,
-0.12708941102027893,
-0.3815551996231079,
0.2279529869556427,
0.22014936804771423,
0.5841038227081299,
0.17659354209899902,
-0.2117007076740265,
-0.21966463327407837,
-0.2847736179828644,
-0.566093444824... |
This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Fact: if food is cooked then heat energy is added to that food. Question: Heat energy may be added to... | velvet socks | 0 | NIv2 | task1400_obqa_incorrect_answer_generation | zs_opt | [
0.4338325560092926,
1.1426808834075928,
0.09825462847948074,
0.32161542773246765,
-0.8551077842712402,
-0.7657700181007385,
0.7797079086303711,
0.681675910949707,
-0.3126768469810486,
-0.5746327638626099,
-0.07684259861707687,
-0.3062228262424469,
-1.1211826801300049,
-0.10634525865316391,... |
In this task, you are given a hateful post in Spanish from online platforms. You are expected to classify the target being harassed in the post as individual or generic, i.e., single person or a group of people. Note that the URLs in the text have been replaced with [Link].
[EX Q]: Post: @Maaaaimolina Callate puta y d... | Generic
| 6 | NIv2 | task338_hateeval_classification_individual_es | fs_opt | [
-0.5740181803703308,
0.5568867921829224,
0.08727194368839264,
-0.059392813593149185,
-0.3467017114162445,
-0.49781569838523865,
0.13538537919521332,
1.1094833612442017,
-0.26709315180778503,
-0.3297368884086609,
-0.40958303213119507,
0.09602684527635574,
-0.543494462966919,
-0.617309272289... |
Teacher: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 b... | walk thrice after walk around right thrice | 6 | NIv2 | task131_scan_long_text_generation_action_command_long | zs_opt | [
0.4824751019477844,
0.8430718779563904,
-0.40554243326187134,
-0.0016195212956517935,
-0.22701403498649597,
0.3393651843070984,
-0.010119220241904259,
0.6942830085754395,
-0.49861574172973633,
-0.22938120365142822,
-0.5128921270370483,
-0.3013891279697418,
-0.700208306312561,
-0.1278056204... |
Q: In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to concatenate all elements of A from the ith element to the jth element, and print the resultant string. i and j will be non-negative, and will always have a value less than the length of A. i will always be less tha... | 26235357B5499404391515687 | 7 | NIv2 | task100_concatenate_all_elements_from_index_i_to_j | zs_opt | [
-0.5457752346992493,
0.2602952718734741,
-0.343203604221344,
-0.5410901308059692,
-0.22776134312152863,
-0.23867526650428772,
-0.07560710608959198,
-0.4471803307533264,
-0.30336305499076843,
-0.03335872292518616,
-1.3325071334838867,
0.2996603846549988,
0.2911255359649658,
-0.2191085517406... |
instruction:
In this task, you will be given text in English. You need to translate the text into the Sinhali language.
question:
This cycle starts from contracting the atrium and ends with the relaxation of the atrium.
answer:
මෙම චක් රය ඇරඹෙන්නේ කර්ණිකා සංකෝචනයෙන් වන අතර, අවසන් වන්නේ කෝෂිකා ඉහිල් වීමෙනි.
questi... | ඉරාන ජීවිතාරක්ෂක සංවිධානය යනු ඉරානය තුල ඇති ජීවිතාරක්ෂක ආයතනය යි.
| 9 | NIv2 | task604_flores_translation_entosn | fs_opt | [
0.014354110695421696,
0.5353424549102783,
-0.03808894753456116,
0.06490421295166016,
-0.28065571188926697,
-0.7410567998886108,
0.15059034526348114,
1.1409327983856201,
0.14771562814712524,
0.3387194275856018,
0.6299170255661011,
-0.7124804258346558,
-0.36860495805740356,
0.531518936157226... |
In this task, you have to generate the named entities (NER) given its ingredients of the recipe. Named entities are the names of the items without their quantity.
[Q]: 1 tsp. salt, 2 cups all-purpose flour, 2 cups whole wheat flour, 1 tbsp. lukewarm water (110F), 2 tbsp. yeast, 1/3 cup honey, 1/3 cup olive oil
[A]: sa... | Sugar, Cinnamon, Butter, Vanilla
| 5 | NIv2 | task570_recipe_nlg_ner_generation | fs_opt | [
0.12038937211036682,
0.2573481798171997,
0.07705335319042206,
0.595695972442627,
-0.19352661073207855,
0.08212269097566605,
0.5514119863510132,
1.1926815509796143,
-0.5757126808166504,
-0.06448808312416077,
0.21157070994377136,
-0.39314842224121094,
-0.6267028450965881,
-0.4894457459449768... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: obscene and non-obscene. A comment is obscene if it is considered offensive to the public sense of decency, for exam... | Non-obscene | 1 | NIv2 | task326_jigsaw_classification_obscene | zs_opt | [
-0.15124987065792084,
0.7331995368003845,
0.6244593858718872,
-0.01485489308834076,
-0.04794732853770256,
-0.13439632952213287,
0.46806100010871887,
1.336301326751709,
-0.0678706020116806,
-0.04552336782217026,
-0.4514501988887787,
-0.4754345417022705,
-0.45737600326538086,
-0.797065377235... |
Given the task definition and input, reply with output. You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
dlatego łączymy "" słońce "" z "" podstawą "", bo Japonia leży na wschód od Chin.
| Isto é um sol colocado com a origem, porque o Japão fica a oriente da China. | 5 | NIv2 | task1264_ted_translation_pl_pt | zs_opt | [
-0.6823241114616394,
0.3350071310997009,
-0.3964809775352478,
-0.45792123675346375,
-0.5915980339050293,
0.026284564286470413,
0.03899649530649185,
0.48658686876296997,
0.09681810438632965,
-0.6735833287239075,
-0.2517889440059662,
0.4251551330089569,
-0.730397641658783,
0.3957902193069458... |
In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal.
Here are the defications ... | count
| 3 | NIv2 | task212_logic2text_classification | fs_opt | [
0.15155550837516785,
-0.2718490958213806,
-0.3402915596961975,
0.36739227175712585,
0.42398208379745483,
-0.4817163348197937,
0.7182170152664185,
0.627120852470398,
0.2900947034358978,
0.03765582665801048,
-0.12396220862865448,
0.07052560150623322,
0.036584191024303436,
0.5186630487442017,... |
In this task you will be given a list, of lists, of numbers. Each list is presented with brackets and comma-separated values. For example, a list of numbers is [1,2,3] and a list of two lists of numbers is [[1,2],[3,4,6]]. You should sum up the values at every position of every inner list and put it as an element of yo... | [19, -196, 92]
| 1 | NIv2 | task122_conala_list_index_addition | fs_opt | [
-0.43131640553474426,
-0.35138073563575745,
-0.8497358560562134,
-0.3065860867500305,
-0.0082857022061944,
-0.0741989016532898,
0.5783106684684753,
0.9417133331298828,
-0.24217194318771362,
-0.0738229900598526,
-0.8112872838973999,
0.2520856559276581,
-0.12078183889389038,
-0.2158368825912... |
Write a correct answer to the given question based on its associated fact. Make sure that your answer is contained in the associated fact. Don't be creative and introduce any new word that is not mentioned in the associated fact! Remember that the associated fact has been rearranged to form the question. So, the correc... | Solution: damaged. | 5 | NIv2 | task041_qasc_answer_generation | fs_opt | [
0.3225003182888031,
0.988828182220459,
-0.5152736306190491,
0.08268004655838013,
-0.39501726627349854,
-1.3796124458312988,
0.5686210989952087,
0.5991877913475037,
-0.12171400338411331,
-0.2454317808151245,
-1.1055653095245361,
0.91958087682724,
-0.26970064640045166,
0.3350571095943451,
... |
Given a math problem with context and a question and 5 answer choices, the task is to provide the correct answer choice based on the problem. You must choose one of the given answer choices by letter: a, b, c, d, or e; anything else is invalid.
Problem: a sum of money deposited at c. i. amounts to rs. 2420 in 2 years ... | b | 0 | NIv2 | task1678_mathqa_answer_selection | zs_opt | [
0.6394816637039185,
0.22637706995010376,
-0.3335764408111572,
-0.22352556884288788,
-0.4991573691368103,
-0.19204100966453552,
0.5240803956985474,
0.885583221912384,
-0.13763636350631714,
0.2927585542201996,
-0.5187335014343262,
0.22032366693019867,
-0.02642318792641163,
-0.527435779571533... |
In this task, you're given a passage, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both passage and link information to create the q... | How many players were on the Excelsior Rotterdam the year Jalink debuted on that team?
| 5 | NIv2 | task236_iirc_question_from_passage_answer_generation | fs_opt | [
0.7896302342414856,
0.3116356432437897,
-0.46952712535858154,
0.12046708911657333,
0.761663556098938,
-0.26551172137260437,
0.9857925176620483,
0.9210742115974426,
0.22357326745986938,
0.01818724349141121,
-0.43575340509414673,
0.25016915798187256,
-0.7124396562576294,
0.4464511573314667,
... |
Detailed Instructions: Given a simple high-school level math question, you are required to solve it and provide the final answer. The final answer is always a single number. These questions can range from a variety of topics like simple arithmetic, solving equations, converting a quantity from one unit to another, find... | -4 | 4 | NIv2 | task835_mathdataset_answer_generation | fs_opt | [
-0.1438075602054596,
0.30375856161117554,
-0.24283280968666077,
-0.6978055238723755,
0.3434602618217468,
-0.2850272059440613,
0.6946107149124146,
0.7736597657203674,
-0.04485616832971573,
-0.43319910764694214,
-0.6884185671806335,
0.3401696979999542,
-0.3795110285282135,
0.2585614919662475... |
Detailed Instructions: 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.
Q: Given Relationship: 'be speaker of', Sentence: 'The Speaker of the House of Representatives , Nancy Pelosi , said that American presiden... | Speaker | 9 | NIv2 | task678_ollie_actual_relationship_answer_generation | zs_opt | [
-0.1516207754611969,
0.48295319080352783,
0.1782131791114807,
0.3290594220161438,
-0.37816107273101807,
-1.0135607719421387,
0.5059842467308044,
-0.0030076289549469948,
0.10706727206707001,
0.12559783458709717,
0.04385673999786377,
0.6047943234443665,
-0.1295327991247177,
0.265539050102233... |
Definition: In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story; note that the s... | ac | 2 | NIv2 | task221_rocstories_two_choice_classification | zs_opt | [
0.34095072746276855,
-0.062319315969944,
0.09722484648227692,
-0.19556283950805664,
0.0381573811173439,
0.3620527684688568,
0.6282688975334167,
0.4732603430747986,
0.04340153560042381,
0.011211788281798363,
-0.5341215133666992,
-0.4680803418159485,
-0.15969817340373993,
0.0149857047945261,... |
Detailed Instructions: In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story and t... | 4a, 1c | 4 | NIv2 | task222_rocstories_two_chioce_slotting_classification | fs_opt | [
0.19603025913238525,
0.005251214373856783,
-0.20256012678146362,
0.12085378170013428,
0.4248238205909729,
0.0923747718334198,
0.45401808619499207,
1.292531132698059,
-0.41491180658340454,
0.4831557273864746,
-0.5574932098388672,
-0.22968313097953796,
0.34384942054748535,
-0.126939147710800... |
Detailed Instructions: In this task, you are given a sentence and a verb from the sentence. Your task is to generate a set of wh-questions starting with who, what, when, where, why, how, how much. The generated questions must contain the verb and the answers to these questions are phrases in the input sentence. The ans... | what is supposed? | 4 | NIv2 | task1519_qa_srl_question_generation | fs_opt | [
-0.21483010053634644,
0.7483615279197693,
0.161008819937706,
-0.535987377166748,
-0.36625242233276367,
0.0028690409380942583,
0.8681086301803589,
0.4432045519351959,
-0.0002493197098374367,
-0.3666691184043884,
-1.02790105342865,
0.23156189918518066,
-0.16257590055465698,
-0.00367895048111... |
In this task, you're given a question, along with a context passage. The passage will not have a direct answer to the question, but can include some information and a clue for the answer. Assuming you can only obtain information about one entity in the passage, your job is to determine whether information from the pass... | b
| 0 | NIv2 | task233_iirc_link_exists_classification | fs_opt | [
0.72709721326828,
0.3838631510734558,
-0.3149629235267639,
-0.127694770693779,
-0.04723785072565079,
0.25799286365509033,
0.5684685111045837,
1.0100895166397095,
-0.23032455146312714,
0.2885364592075348,
-0.25003087520599365,
0.8758399486541748,
-0.6756539940834045,
-0.26393193006515503,
... |
Detailed Instructions: In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them.
See one example below:
Problem: A photo series on the popular Humans of New York Facebook page may have went viral and captured the nation’s attention last Tuesday, but for... | Three people were shot in the parking lot of Colorado's Red Rocks Amphitheatre last night after a concert featuring Nas, Schoolboy Q, and Flying Lotus, authorities say. The victims, all of whom survived, were found in nearby Denver, where they apparently drove after the shooting, the Denver Post reports; it's unclear w... | 4 | NIv2 | task1291_multi_news_summarization | fs_opt | [
0.6009836196899414,
0.10507014393806458,
0.06557351350784302,
-0.20757576823234558,
1.0322705507278442,
-0.2500702142715454,
1.1712894439697266,
0.8033995628356934,
-0.44392651319503784,
0.8186208605766296,
0.02122751995921135,
0.41104841232299805,
-0.2778060734272003,
0.5362494587898254,
... |
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 context, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information... | How long did William D. Swenson serve in the army? | 0 | NIv2 | task235_iirc_question_from_subtext_answer_generation | fs_opt | [
0.10995069146156311,
0.5843921303749084,
-0.4354594051837921,
0.006167737301439047,
0.31308358907699585,
-0.6775367856025696,
0.060991302132606506,
0.8286359310150146,
0.3739731013774872,
0.041907601058483124,
-0.6208966970443726,
0.0020632881205528975,
-0.6425677537918091,
0.0583890862762... |
Given an Amazon customer review, write a title for the review. The preferred titles are under fifteen words.
One example is below.
Q: I was very surprised at the high quality of the stitching, the sturdiness of the handles and the padding for my laptop. The price is amazingly low and the look is very good. I am quite h... | good buy | 9 | NIv2 | task1342_amazon_us_reviews_title | fs_opt | [
0.10334619879722595,
-0.06382612884044647,
-0.5329976677894592,
-0.23586595058441162,
0.42215263843536377,
-0.37116897106170654,
0.7065262794494629,
0.2972511947154999,
0.22369122505187988,
0.6717997789382935,
0.12182635068893433,
0.38699036836624146,
-0.5928497314453125,
-0.08057594299316... |
Instructions: Given a text, write a compressed version of it in a single sentence.
Input: "Some of these shortcomings can be laid at the door of the author, some at the door of the book designer, most in the lap of the editor (if there was one)."
Output: | Some shortcomings can be laid at author's and designer's door, but mostly the editor (if there was one) is to blame. | 3 | NIv2 | task1340_msr_text_compression_compression | zs_opt | [
-0.31971675157546997,
0.5763020515441895,
-0.41977977752685547,
-0.5529280304908752,
0.4202004373073578,
0.255638986825943,
0.19256122410297394,
0.2431839108467102,
0.22694523632526398,
0.2623080611228943,
-0.403151273727417,
-0.38574713468551636,
-0.45784109830856323,
-0.33990275859832764... |
Given the task definition and input, reply with output. A text is given in Bengali. Translate it from the Bengali language to the Marathi language. The translation must not omit or add information to the original sentence.
वंदे मातरम् बोलताच या भूमातेसाठी काही तरी करण्याची प्रेरणा मिळते.
| বন্দে মাতরম বললেই এই ধরিত্রী মায়ের জন্য উৎসর্গিত হওয়ার প্রেরণা মেলে। | 5 | NIv2 | task1062_pib_translation_marathi_bengali | zs_opt | [
-0.567527174949646,
0.7618772983551025,
-0.15392643213272095,
0.47698473930358887,
-0.8751316666603088,
-0.832617998123169,
0.6094439625740051,
-0.11479990184307098,
0.049524031579494476,
-0.46089184284210205,
-1.0349701642990112,
-0.26015669107437134,
-0.7365438342094421,
0.27558410167694... |
In this task you will be given some text dialogue and you need to infer the underlying emotion of the text. The possible emotions are happy, sad, angry, or other.
i m brilliant genius course you are u r stupid | angry | 0 | NIv2 | task517_emo_classify_emotion_of_dialogue | zs_opt | [
-1.5851991176605225,
0.8257612586021423,
1.3733415603637695,
-1.1613504886627197,
-0.07656952738761902,
-0.7320727109909058,
0.25150495767593384,
0.0858992263674736,
0.4546632766723633,
0.21729883551597595,
-0.5992076992988586,
-0.3037126660346985,
-0.3295394778251648,
-0.3167937994003296,... |
Given the task definition and input, reply with output. In this task, you are given a hateful post in English from online platforms. You are expected to classify the target being harassed in the post as individual or generic, i.e., single person or a group of people. Note that the URLs in the text have been replaced wi... | Generic | 5 | NIv2 | task337_hateeval_classification_individual_en | zs_opt | [
-0.655383825302124,
0.7789034843444824,
0.9617841839790344,
0.08365008234977722,
-0.05315498635172844,
-0.910510778427124,
-0.20498046278953552,
0.41910427808761597,
0.0005451261531561613,
0.1462796926498413,
-0.1584811806678772,
0.44223833084106445,
-0.148675337433815,
-0.4208273589611053... |
Detailed Instructions: In this task you are given an anecdote, which recount a complex ethical situation. The question you are given is, has the author of the anecdote acted ethically? answer this question with "RIGHT" or "WRONG".
Problem:For my entire life (I’m 20) my father has been out of the picture, he left me and... | RIGHT | 8 | NIv2 | task224_scruples_anecdotes_ethical_judgment | zs_opt | [
0.1354972869157791,
0.33574816584587097,
0.16503408551216125,
-0.63118976354599,
-0.6200138330459595,
-0.5763266086578369,
0.8166240453720093,
0.6755026578903198,
0.2639303505420685,
-0.015730537474155426,
-0.09974783658981323,
0.810758113861084,
-0.7456398606300354,
-0.517704963684082,
... |
Given a sentence in the English language, translate it into the Nepali language.
[Q]: Text: Point mutation is very minute and it does not influence the change whole organism.
[A]: बिंदु उत्परितर्वन अति सूक्ष्म हुन्छन् र उनको प्रभाव संपूर्ण जीव परिवर्तनमा हैन पडता ।
[Q]: Text: Since research is a scientific method... | चांदी वा अष्टधातुको नागाकृति औंठी बनाएर ज्योतिषीको सल्लाहबमोजिम हातको औंलामा धारण गर्नुपर्छ ।
| 5 | NIv2 | task1514_flores_translation_entone | fs_opt | [
-0.1920451819896698,
0.24026383459568024,
-0.19601839780807495,
-0.7292431592941284,
-0.21403908729553223,
-1.6227980852127075,
0.0849313735961914,
-0.00855895597487688,
0.17777761816978455,
-0.29732292890548706,
0.23274266719818115,
0.1784673035144806,
-0.15252238512039185,
0.120798259973... |
In this task, you're given a context passage, an answer, and a question. Your task is to classify whether the question for this answer is correct or not, based on the given context with commonsense reasoning about social situations. If its correct ,return "True" else "False".
[EX Q]: Context: A few days before Christm... | False
| 6 | NIv2 | task384_socialiqa_question_classification | fs_opt | [
-0.2083493024110794,
-0.07960106432437897,
0.3306841254234314,
-0.1007472351193428,
-0.1327054798603058,
-0.3450753390789032,
1.1437735557556152,
0.6959407329559326,
0.13487201929092407,
-0.12972339987754822,
-0.15512380003929138,
0.07728323340415955,
-0.7699705362319946,
0.204584002494812... |
Classify the given comment into 'Hope Speech' or 'Not Hope Speech'. A hope speech is defined as content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion
Example Input: @Anja ...it's been 6 years and I'm still bisexual.
Example Output: Hope Speech
Example Input: Doe... | Not Hope Speech
| 3 | NIv2 | task679_hope_edi_english_text_classification | fs_opt | [
-0.029686883091926575,
0.016767963767051697,
0.3464781939983368,
0.12613055109977722,
-0.32825732231140137,
-1.4257453680038452,
0.33855536580085754,
0.7836824059486389,
0.04665197804570198,
0.6458815336227417,
-0.4314987361431122,
0.12219713628292084,
-0.3299664258956909,
-0.2643046975135... |
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".
The heavy weight was too much for Ryan , while Aaron lifted it with ease, since _ never trained properly. (A) Ryan (B) Aaron | A | 0 | NIv2 | task1391_winogrande_easy_answer_generation | zs_opt | [
1.1185567378997803,
0.9591630101203918,
-0.17765513062477112,
-0.7485285997390747,
-0.21235904097557068,
-0.441179096698761,
0.27243468165397644,
1.3135526180267334,
0.3090245723724365,
0.033491943031549454,
-0.5583296418190002,
-0.28503209352493286,
-0.12442384660243988,
-0.11753880977630... |
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