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You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task. Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'. Tweet: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonym...
Yes
0
NIv2
task839_cdt_classification
fs_opt
[ -1.3606101274490356, 0.9047219753265381, 0.5508424043655396, 0.5901705026626587, -0.14348238706588745, -0.4136733412742615, 1.0816545486450195, -0.952176570892334, -0.46870192885398865, -0.051790814846754074, -0.2629525065422058, 0.2405456304550171, -0.5946234464645386, -0.4062852263450622...
You will be given a definition of a task first, then some input of the task. In this task you need to indicate the plausibility of reasoning for the pronoun coreference relations. Each of the provided inputs contains a sentence with a target pronoun and a sentence that justifies which noun phrase the pronoun refers to....
Wrong
1
NIv2
task133_winowhy_reason_plausibility_detection
zs_opt
[ 0.10017939656972885, 0.17889805138111115, -0.11369200050830841, -0.0022101837676018476, 0.03928521275520325, -0.47787731885910034, 0.4196000099182129, 0.09935034811496735, 0.4490945637226105, -0.8818100094795227, -0.5417214632034302, 0.033283866941928864, -0.7748071551322937, -0.0760368704...
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English. Q: ובארון-כהן הסביר שלקויות מסוימות יכולות לבוא לידי ביטוי בעולם של ההאקרים והמיחשוב כמיומנות עצומות ושאסור לנו לכלוא אנשים כאלה עם לקויות ומיומנויות משום שאיבדו את דרכם מבחינה חברתית או שהולכו שולל A:
And Baron-Cohen explained that certain disabilities can manifest themselves in the hacking and computing world as tremendous skills, and that we should not be throwing in jail people who have such disabilities and skills because they have lost their way socially or been duped.
9
NIv2
task1234_ted_translation_he_en
zs_opt
[ 0.2944560945034027, 0.7903053164482117, 0.6770800352096558, 0.36156922578811646, -0.44533050060272217, -0.15609268844127655, 0.5398409962654114, 0.24767786264419556, 0.4039493799209595, -0.33306217193603516, 0.19311881065368652, 0.4744756817817688, -0.7957359552383423, 0.050034329295158386...
TASK DEFINITION: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: toxic and non-toxic. Toxicity is defiend as anything that is rude, disrespectful, or unreasonable that would make someone want to leave a converation. PROBLEM: Comment: ???? S...
Toxic
8
NIv2
task327_jigsaw_classification_toxic
fs_opt
[ -0.6087566614151001, 0.12574537098407745, 0.8176961541175842, 0.25002217292785645, 0.01707318052649498, -0.562059223651886, 0.8319011926651001, 0.7040196657180786, 0.4304260015487671, 0.5275123715400696, 0.26809120178222656, 0.3220130503177643, -0.610593855381012, -0.981056809425354, 0.3...
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. Input: Consider Input: [[0, -45, -35, 45, -38], [...
Output: [33600, -450, -6808]
2
NIv2
task371_synthetic_product_of_list
fs_opt
[ 0.47265923023223877, -0.02913287654519081, -0.8989781141281128, -0.13715484738349915, -0.08562324941158295, -0.44117599725723267, 1.20082426071167, 0.7743704319000244, -0.6715877056121826, -0.33736056089401245, -0.8549960851669312, 0.30334389209747314, -0.6310337781906128, -0.7780330777168...
Given a real-life anecdote of a complex ethical situation, identify who is wrong here. Classify each post into the following categories : AUTHOR (if the author of the post is wrong in the situation), OTHER (if any of the others mentioned in the paragraph is wrong), EVERYBODY (if everyone mentioned is wrong) and NOBODY ...
AUTHOR
8
NIv2
task498_scruples_anecdotes_whoiswrong_classification
fs_opt
[ 0.24078232049942017, 0.29070091247558594, 0.19998537003993988, 0.20754441618919373, 0.08087749779224396, -0.5948419570922852, -0.11071766912937164, 0.09869841486215591, 0.5723584294319153, -0.1575445532798767, -0.2660563588142395, 0.3105151057243347, -1.127655267715454, -0.3338648378849029...
You will be given a definition of a task first, then some input of the task. A text is given in Marathi. Translate it from the Marathi language to the Urdu language. The translation must not omit or add information to the original sentence. गेल्या दोन वर्षात जागतिक आर्थिक मंचाच्या जागतिक स्पर्धात्मकता निर्देशांकात आम्...
ورلڈ اکنامک فورم کے عالمی مسابقتی عدد اشاریہ میں گزشتہ د و برسوں میں ہم 32 درجات آگے بڑھے ہیں۔ یہ ترقی کسی بھی ملک کیلئے سب سے زیادہ ہے۔
1
NIv2
task989_pib_translation_marathi_urdu
zs_opt
[ -0.22504264116287231, 1.13194739818573, -0.020824752748012543, -0.4939124584197998, 0.23483046889305115, -0.48874473571777344, 0.18131190538406372, 0.05750936269760132, 0.1726090908050537, -0.13812848925590515, -0.7531299591064453, -0.11748045682907104, -0.341455340385437, -0.3181770443916...
Q: 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 - '.': Period symbol is use...
CONJ
7
NIv2
task1167_penn_treebank_coarse_pos_tagging
zs_opt
[ 0.40443021059036255, 0.2419891208410263, -0.17005881667137146, 0.03921087086200714, -0.2491508275270462, -0.5626355409622192, 0.566687822341919, 0.8954969048500061, -0.12372758984565735, -0.17922566831111908, -0.48878014087677, 0.2670121192932129, -0.5913100242614746, 0.2661128044128418, ...
Instructions: In this task you are given a sentence. You must judge whether there exist two consecutive words within the sentence with flipped orders, that is, whether the sentence will make sense and be correct if the order of two consecutive words changes. Label the instances as "Inversion" or "Original" based on you...
Inversion
3
NIv2
task428_senteval_inversion
zs_opt
[ -0.8254648447036743, 0.8176589012145996, 0.3587076663970947, -0.2080112099647522, -0.12146396934986115, -0.6864627599716187, 0.927773118019104, 0.41413503885269165, 0.23210497200489044, 0.004674019757658243, -0.5932199358940125, -0.70440274477005, -0.5157174468040466, 0.06486664712429047, ...
Q: Your task is to generate the next utterance in a given dialogue. You will be given a few sentences describing the personality of the person who is making the dialogue, and a history of the dialogue after that. Each line in the history is said by one of the two participants in the conversation. Personality: My uncle ...
It is beautiful there I use to visit my uncle in Florida too.
7
NIv2
task1729_personachat_generate_next
zs_opt
[ 0.22255201637744904, -0.39259013533592224, -0.3113139271736145, -0.12060842663049698, -0.33228230476379395, 0.13091440498828888, 0.6715108156204224, 1.0821762084960938, -0.6124517917633057, 0.13257527351379395, 0.600004255771637, -0.17678731679916382, 0.08399255573749542, -0.13152560591697...
In this task, you are given a sentence in the Swedish language and a corresponding English translation of the Swedish sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No". Example Input: Swedish: Allmänheten skulle inte förstå varför man talar om ett gemensamt r...
No
3
NIv2
task314_europarl_sv-en_classification
fs_opt
[ -0.4281402826309204, 0.5726161599159241, 0.5208802223205566, 0.09990964829921722, 0.6488552689552307, -0.8648630976676941, 0.31028997898101807, 0.8723713159561157, -0.10604678094387054, 0.5090789198875427, 0.07055928558111191, 0.6145310401916504, -0.3448270261287689, -0.36432236433029175, ...
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 ще минеш през него в тъмнините.
1
NIv2
task415_mickey_bg_sentence_perturbation_generation
fs_opt
[ 0.39337122440338135, 0.22214357554912567, 0.015106799080967903, 0.059689100831747055, -0.012737438082695007, -0.41033050417900085, 0.7956861853599548, 1.5126423835754395, -0.21133509278297424, 0.24284914135932922, -0.7742131948471069, 0.014567853882908821, -0.780404806137085, 0.23773516714...
Teacher: 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 fine 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...
UH
2
NIv2
task584_udeps_eng_fine_pos_tagging
fs_opt
[ 0.05637340620160103, 0.4149181842803955, -0.11230126023292542, 0.3579045534133911, 0.016129180788993835, -0.7698001861572266, 0.7160347700119019, 1.277618408203125, -0.5541474223136902, -0.13942644000053406, -0.18155357241630554, 0.4617220163345337, -0.31125378608703613, 0.1069969236850738...
Detailed Instructions: Given a sentence in the Japanese and Central Khmer language. Your task is check if the Khamer sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No". Problem:Japanese: 西オーストラリア州政府国土自然保護局(CALM)の役員は、クジラが再び座礁するかもしれないことを恐れた。 Khame...
No
8
NIv2
task1123_alt_ja_khm_answer_generation
zs_opt
[ 0.2678104639053345, 0.05885571613907814, -0.016179610043764114, 0.05406508222222328, -0.3099502921104431, -0.8437131643295288, 0.947760820388794, 0.4284849166870117, -0.4509434103965759, -0.061658650636672974, 0.48582926392555237, 0.08047866821289062, -1.124521017074585, 0.0309838578104972...
You are given a question-answer pair. Answer with their type. Pay attention that there may be more than one correct type, but you only have to choose one. In your responses, use of the following types: (1) Humans: Any individual or group of humans, including fictional ones (e.g., a group or organization of persons , a...
Quantity.
0
NIv2
task046_miscellaneous_question_typing
fs_opt
[ 0.7255797386169434, 0.24470782279968262, -0.2582480311393738, 0.44361168146133423, -0.11500032246112823, -0.9547975063323975, 0.7686936259269714, 0.8448379635810852, -0.31841662526130676, -0.1887667030096054, -0.4516323506832123, 0.6893584132194519, -0.6430439949035645, 0.08027108013629913...
instruction: 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/Control...
Third Party Sharing/Collection
9
NIv2
task682_online_privacy_policy_text_classification
fs_opt
[ -0.05825997516512871, -0.03820524737238884, -0.8036167025566101, 0.109612375497818, -0.09553004801273346, -0.5714739561080933, 0.12492914497852325, 0.8545142412185669, 0.20116916298866272, 0.5718196034431458, 0.05400025472044945, -0.12384913861751556, -0.3959035277366638, -0.96137177944183...
Definition: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: personal or non-personal depending ...
non-personal
2
NIv2
task1490_bengali_personal_hate_speech_binary_classification
zs_opt
[ -0.33401936292648315, -0.23552562296390533, -0.02662024088203907, 0.23950114846229553, -0.7183020114898682, -0.3715594410896301, 0.918952226638794, -0.20614093542099, -0.10382845997810364, -0.2079264223575592, -0.8385773301124573, 0.10256421566009521, -0.012387420050799847, 0.5184082388877...
You are given a statement written in Oriya. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option . Q: Statement: ପ୍ରାଚୀନ କାଳରେ, ଏହି ଦୁର୍ଗଟି ଜେଜାକଭୂକ୍ତି (ଜୟଶକ୍ତି ଚାନ୍ଦେଲ ସାମ୍ରାଜ୍ୟ ଅଧୀନରେ ଥିଲା । ପରେ ଏହା ଦଶମ (ଦଶମ) ଶତା...
ଅଯୋଧ୍ୟା ****
4
NIv2
task951_wiki_cloze_or_multiple_choice_question_answering
fs_opt
[ 0.05653825029730797, 0.9166817665100098, -0.4894881546497345, -0.21513628959655762, -0.1627371609210968, -0.767123281955719, -0.2304263859987259, 0.9330507516860962, -0.4180431663990021, 0.027712412178516388, -0.49029409885406494, -0.13463370501995087, -0.013643360696732998, -0.16020952165...
Translate from English to Hindi. -------- Question: Lucky fuck. Answer: फालतु बकवास. Question: Get busy living or get busy dying? Answer: जीने में लग जाओ, मरने में लग जाओ. Question: You and your father want to get rich? Answer:
तुम और तुम्हारे पिता अमीर बनना चाहते हो न?
7
NIv2
task1329_open_subtitles_en_hi_translation
fs_opt
[ -0.40550345182418823, 0.8169620633125305, -0.04877707362174988, -0.46327894926071167, -0.39680010080337524, -0.22349229454994202, 0.802812933921814, 0.07496985793113708, 0.14823073148727417, -0.5378669500350952, -1.2534834146499634, 0.2059195339679718, -0.7354753017425537, -0.0162535216659...
You will be given a passage with an enumerated set of facts, a question of form 'Where is <person_name>?', and its answer. The task is to identify a supporting fact that is necessary to answer the question. The output would be the corresponding fact number. Passage: Fact 1- Daniel moved to the garden. Fact 2- John wen...
Fact 9
0
NIv2
task084_babi_t1_single_supporting_fact_identify_relevant_fact
zs_opt
[ 0.2867477536201477, 0.6825972199440002, -0.9781936407089233, -0.7366421222686768, -0.9455058574676514, -0.5213128328323364, 0.43229255080223083, 0.20593518018722534, 0.059266820549964905, 0.09109179675579071, -0.6989735960960388, 0.19298744201660156, -0.5388083457946777, 0.0362103171646595...
Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Portugese. Input: ولی این یک بیان احتمالاتیه. Output:
Mas isso é uma afirmação probabilística.
3
NIv2
task1273_ted_translation_fa_pt
zs_opt
[ -0.6373632550239563, 1.3848915100097656, -0.13663053512573242, 0.22773565351963043, -0.5825390815734863, -0.05416383966803551, -0.07698376476764679, 1.3568755388259888, 0.9550905227661133, -0.4743250012397766, -1.7818853855133057, 0.3437531590461731, 0.30917221307754517, 0.1501944661140442...
Q: 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. Similarly, the user may ask details of the place sugge...
You want to find a restaurant in Fenditton. You don't care about the price range. You want to know the address, phone number, and type of food of the venue.
7
NIv2
task1499_dstc3_summarization
zs_opt
[ 0.2645554840564728, 0.37071454524993896, -0.6459739208221436, -0.26813265681266785, 0.2787359356880188, -1.0063235759735107, 0.12575048208236694, 0.8504329323768616, 0.04417182505130768, 0.37506163120269775, 0.5275448560714722, -0.33399826288223267, -0.013369550928473473, 0.010877552442252...
You will be given a definition of a task first, then some input of the task. In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that seamlessly connects with the rest of the story, indicating...
a
1
NIv2
task213_rocstories_correct_ending_classification
zs_opt
[ -0.16823306679725647, -0.027857042849063873, -0.09219977259635925, -0.0319981575012207, -0.26993030309677124, -0.03914738446474075, 0.4401940703392029, 0.6437721252441406, 0.5792450904846191, 0.3713838458061218, -0.40320533514022827, -0.08529695123434067, -0.13126486539840698, 0.1399831473...
You are given a sentence in English. Your job is to translate the English sentence into Hebrew. Q: And we can see this shift from trees into networks in many domains of knowledge. A: ואנחנו יכולים לראות את התפנית הזאת מעצים לרשת בתחומים רבים של ידע. **** Q: So, if I have to send money to my father in the village, I m...
אז זה לקח ארבע שנים לפרק אותו. ****
4
NIv2
task1221_ted_translation_en_he
fs_opt
[ -0.4227038025856018, 0.6166777610778809, 0.06770612299442291, -0.10341952741146088, -0.12047573179006577, -0.3212435841560364, 0.7935668230056763, 0.17645351588726044, 0.628301739692688, -0.5103567242622375, -0.33166879415512085, 0.21309125423431396, -0.9174785017967224, 0.2655152082443237...
Given the task definition and input, reply with output. In this task, you need to output 'Yes' if the given number is a prime number otherwise output 'No'. A 'prime number' is a a whole number above 1 that can not be made by multiplying other whole numbers. 15107
Yes
5
NIv2
task092_check_prime_classification
zs_opt
[ -0.5590800642967224, 0.7389944791793823, 0.11336880922317505, -0.3824637532234192, -0.3283568024635315, -0.19300062954425812, 0.5486990213394165, 0.7049237489700317, 0.04855704307556152, 0.22967016696929932, -0.9150952100753784, -0.12230321764945984, -0.3627223074436188, -0.390042960643768...
Instructions: 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: If your d...
Yes
3
NIv2
task310_race_classification
zs_opt
[ 0.23845069110393524, 0.45497745275497437, -0.3756088614463806, -0.10612887144088745, 0.3996811509132385, -0.6663075685501099, 0.5852905511856079, 0.4554467797279358, -0.008981755003333092, -0.03750452771782875, 0.08246013522148132, 0.9924330115318298, -0.1671207696199417, -0.10817296802997...
Detailed Instructions: 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. New information can be introduc...
Men with their hands raised are wearing uniforms.
8
NIv2
task188_snli_neutral_to_entailment_text_modification
zs_opt
[ -0.29685258865356445, 0.5531808137893677, -0.33246248960494995, -0.46101707220077515, -0.1013142541050911, -0.3583141565322876, 0.6124465465545654, 0.41127660870552063, 0.1906844675540924, -0.5785079002380371, -0.897049069404602, -0.42113953828811646, -0.9538995027542114, -0.10256133973598...
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
1
NIv2
task1197_atomic_classification_oreact
fs_opt
[ 0.26397567987442017, -0.0006581239285878837, 0.15780042111873627, 0.16470852494239807, -0.35398632287979126, -1.0082976818084717, 1.1102718114852905, 0.9822887182235718, -0.335599422454834, -0.24786406755447388, -0.2956618666648865, -0.11085104942321777, -1.125827431678772, 0.1720929294824...
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that particular part. Your labels can be one among the following: 'No emotion', 'surpris...
No emotion,No emotion,No emotion,No emotion
3
NIv2
task1532_daily_dialog_emotion_classification
fs_opt
[ 0.7483013272285461, -0.1034432053565979, -0.36984631419181824, 0.32240575551986694, 0.11359872668981552, -0.34632959961891174, 0.8847390413284302, 0.34193241596221924, -0.04980919510126114, 0.05052429437637329, -0.022379722446203232, -0.0037338801193982363, -0.5372560024261475, 0.102144926...
Teacher: In this task, You are given an open-domain question that can be answered based on factual information. Your task is to provide \*short\* answer (in a few words only) for the given question. The short answer can be one or more entities or it can also be boolean \*yes\* or \*no\*. Teacher: Now, understand the pr...
Europe
2
NIv2
task582_naturalquestion_answer_generation
fs_opt
[ 0.10312078148126602, 0.3354889154434204, 0.062003374099731445, -0.0424722284078598, -0.4176928400993347, -0.8114138841629028, 0.7992774844169617, 0.4475535750389099, 0.11558525264263153, -0.018540285527706146, -0.12754949927330017, -0.04343762621283531, -0.4639066457748413, 0.1456570625305...
In this task, you are given a sentence in Persian, and you have to paraphrase it. The paraphrased sentence must have the same meaning as the input. Q: بهترین استراتژی برای موفق شدن در JEE Advance در اولین تلاش چیست؟ A:
بهترین استراتژی برای پاس کردن JEE اصلی و پیشرفته چیست؟
4
NIv2
task466_parsinlu_qqp_text_modification
zs_opt
[ -0.1723509132862091, 1.418060541152954, -0.3779076933860779, -0.37363922595977783, -0.22218143939971924, 0.1052195131778717, 0.9857063293457031, 0.6029386520385742, 0.08697140961885452, 0.27405253052711487, -0.3044043779373169, -0.33153510093688965, -0.8185197114944458, 0.6903151273727417,...
TASK DEFINITION: You are given a concatenated string consisting of two parts that are separated by a newline character. The first part is the user's initial question during a human computer conversation, the second part is a clarifying question asked by the computer in response to the question asked by the user. You sh...
using them to cook
8
NIv2
task1714_convai3_sentence_generation
fs_opt
[ 0.33713117241859436, 0.11011572182178497, -0.4589311480522156, 0.2888294756412506, 0.2086215615272522, -0.014126567170023918, 0.7284836769104004, 0.3081618547439575, 0.3339218199253082, 0.45896613597869873, 0.16776730120182037, -0.26067519187927246, -0.6570783853530884, 0.11697465926408768...
You will be given a definition of a task first, then some input of the task. In this task you are given a list of numbers and you need to find the average of each two consecutive values. The average of two numbers a and b is calculated as: (a + b) /2. The output should be a list of the averages of each two consecutive ...
[-40.0]
1
NIv2
task124_conala_pair_averages
zs_opt
[ -0.8274012804031372, 0.4183835983276367, -0.8084649443626404, -0.10228302329778671, -0.07710886001586914, 0.37415027618408203, 0.39910823106765747, 0.5292390584945679, 0.06459739804267883, -0.2976909279823303, -0.7601854801177979, -0.1577042043209076, -0.06782598793506622, 0.17970247566699...
Given a sentence and two mentions from the text (arguments), indicate a phrase (a verb or noun phrase) that describes the relationship between the provided arguments. Let me give you an example: Sentence: 'Harry glanced again at the raw looking thing that trembled and choked in the shadow beneath the distant chair.', ...
replace
8
NIv2
task676_ollie_relationship_answer_generation
fs_opt
[ -0.14010579884052277, 0.8654652833938599, 0.17524372041225433, -0.6205320358276367, -0.5018818974494934, -0.9443188905715942, 0.04300224781036377, 0.9687508344650269, 0.0241702813655138, -0.34039515256881714, 0.19213812053203583, -0.3087971806526184, 0.01580774411559105, 0.3192024528980255...
In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independence of Catalonia then it's 'Against' and if the tweets support it then it wi...
Favor ****
4
NIv2
task1646_dataset_card_for_catalonia_independence_corpus_text_classification
fs_opt
[ -0.0408693328499794, 0.05753031000494957, -0.3774818480014801, -0.0072897933423519135, 0.351301908493042, -0.7716988325119019, 0.8620799779891968, 1.1485998630523682, 0.369693398475647, 0.18073728680610657, -0.40317779779434204, 0.3237135410308838, -0.23102112114429474, 0.25590813159942627...
In this task, you will be given a list of numbers. The goal is to divide all the numbers in the list by a constant such that the sum of the resulting list is 1. The output should be rounded to 3 decimals. Example input: [1, 2, 3] Example output: [0.167, 0.333, 0.500] Example explanation: The output list sums to 1.0 an...
[0.147 0.321 0.216 0.316]
3
NIv2
task093_conala_normalize_lists
fs_opt
[ 0.002544531598687172, 0.450265109539032, -1.0002431869506836, -0.6900765895843506, 0.47594624757766724, -0.0886792466044426, 0.6860536336898804, 0.0652376115322113, -0.043972089886665344, 0.05297110229730606, -0.7121471166610718, 0.34549763798713684, -0.017685070633888245, -0.4747216701507...
Definition: 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 f...
b
2
NIv2
task233_iirc_link_exists_classification
zs_opt
[ 0.7216235995292664, -0.17238831520080566, 0.31086939573287964, 0.031239215284585953, 0.11955628544092178, -1.2218736410140991, 1.083449125289917, 0.8292375802993774, 0.3909381031990051, 0.09287211298942566, -0.2942320704460144, 0.22089196741580963, -0.5099145174026489, 0.807635486125946, ...
You are given a sentence in Polish. Your job is to translate the Polish sentence into Japanese. Example Input: Idealna odskocznia od codzienności w idealnym samochodzie. Example Output: 完璧な車で完璧な休暇 Example Input: Wjeżdżaliśmy pod górę w kierunku imponujących Gór Błękitnych na zachód od Sydney, był piękny jesienny dzie...
芽 (シューツ) は小さくても太陽に届くためにレンガの壁も突き抜けることができます
3
NIv2
task1257_ted_translation_pl_ja
fs_opt
[ -1.3010618686676025, 0.31283000111579895, -0.4372781813144684, -0.38216081261634827, -0.44797995686531067, -0.7114396095275879, 0.9638938903808594, -0.1872691810131073, 0.16385966539382935, -0.814315915107727, -0.1388186514377594, 0.5727688074111938, 0.4753035306930542, 0.23250120878219604...
Instructions: In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story coherent / plausible by writing "1" or "2" in the output. If both sentences are plausible, pick the one that makes most sense. Input: Beginn...
2
3
NIv2
task069_abductivenli_classification
zs_opt
[ -0.6950756311416626, 0.6780689358711243, 0.4252939820289612, 0.04275975003838539, -0.19849231839179993, -0.07004387676715851, 0.49418389797210693, 0.43053269386291504, 0.29974427819252014, 0.30111950635910034, -0.33080458641052246, -0.2689727246761322, -0.7955403923988342, -0.0798545256257...
instruction: This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words. question: body is driven by heart heart collaborates mind answer: heart collaborates with the mind . question: and mostly those c...
but if it is applied , it is a debt that the firm has taken on itself .
9
NIv2
task177_para-nmt_paraphrasing
fs_opt
[ 0.10098491609096527, 0.8222364187240601, -0.09983650594949722, -0.8786965012550354, -0.4531780481338501, -0.8355581760406494, 0.5635536909103394, -0.5313510894775391, -0.24404191970825195, -0.621027946472168, -0.5713844895362854, -0.21726258099079132, -0.7964598536491394, 0.884138941764831...
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Q: Tweet: @denytheprophecy thanks for ignoring my texts fag Label: Hate Speech A:
true
4
NIv2
task905_hate_speech_offensive_classification
zs_opt
[ -1.5551478862762451, 0.39709973335266113, 1.09507417678833, 0.05023084953427315, -0.5219219923019409, -1.7204469442367554, 0.014959713444113731, 0.42740535736083984, 0.5002998113632202, 0.5470558404922485, -0.8674160242080688, -0.31226953864097595, -0.8464902639389038, -0.638698935508728, ...
In this task, you're given two sentences, sentence 1 and sentence 2, and the genre they belong to. Your job is to determine if the two sentences belong to the same genre or not. Indicate your answer with Y and N respectively. Genres available include: face-to-face, government, letters, 9/11, slate, telephone, travel, v...
Y
0
NIv2
task204_mnli_same_genre_classification
zs_opt
[ -0.9126862287521362, 0.5136861801147461, 0.05149059742689133, -0.8835690021514893, 0.03203023597598076, 0.45263487100601196, 0.4872265160083771, 0.9287851452827454, 0.30516111850738525, -0.10150732100009918, -0.5257148742675781, 0.03985749930143356, -0.5689727067947388, -0.2850190699100494...
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. Remember the questi...
It is easy to design a badge but not a mural as the _ is comparatively large.
4
NIv2
task034_winogrande_question_modification_object
zs_opt
[ 0.5598400831222534, 0.3446331024169922, 0.1420082151889801, -0.18868711590766907, 0.5465681552886963, -0.7612279653549194, 0.8852048516273499, 1.1195957660675049, -0.5950690507888794, -0.2946687340736389, -0.48559653759002686, 0.31899526715278625, -0.5557258129119873, 0.018105268478393555,...
A text is given in Oriya. Translate it from the Oriya language to the Telugu language. The translation must not omit or add information to the original sentence. 6 ఖాదీ సంస్థలకు రూ. 3.
ସରକାରୀ ଯୋଜନାର ଲାଭ ଗରିବଙ୍କ ପାଖରେ ପହଞ୍ଚିବା ଆବଶ୍ୟକ: ଉପରାଷ୍ଟ୍ରପତି
0
NIv2
task1020_pib_translation_telugu_oriya
zs_opt
[ 0.03491862863302231, 1.0564548969268799, -0.3668642044067383, 0.39354532957077026, -0.32261598110198975, 0.08716771006584167, 0.5715370178222656, 0.49447521567344666, 0.013256572186946869, -0.9599250555038452, -0.5115137100219727, -0.706369161605835, -0.7335416078567505, 0.2664624452590942...
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English. [Q]: כאסטרופיזיקאית, יש לי זכות מדהימה של חקר של כמה מהעצמים הכי אקזוטיים ביקום שלנו. [A]: As an astrophysicist, I have the awesome privilege of studying some of the most exotic objects in our universe. [Q]: לבסוף ביצעתי ע...
So the yield for urban hives, in terms of honey production, is higher as well as the overwintering survival, compared to rural areas.
5
NIv2
task1234_ted_translation_he_en
fs_opt
[ -0.6395129561424255, 0.4238855540752411, 0.6964724063873291, -0.38667041063308716, -0.34805917739868164, -0.4696710705757141, 0.3581855297088623, 0.05112569406628609, 0.8181464672088623, -0.8070942163467407, -0.4896535873413086, -0.025504279881715775, -0.9929922819137573, 0.033737689256668...
Given the task definition, example input & output, solve the new input case. Given a sentence, generate what should be the most likely next statement. The next statement should be reasonable and logically correct. Example: We notice a man in a kayak and a yellow helmet coming in from the left. As he approaches, his kay...
serve the ball and kick the ball across the net.
1
NIv2
task453_swag_answer_generation
fs_opt
[ 0.28223806619644165, 0.39456474781036377, -0.24543461203575134, 0.05004778876900673, -0.05398280918598175, 0.4137657582759857, -0.13221809267997742, 0.6486438512802124, 0.5835397243499756, 0.07975591719150543, -0.06000644713640213, 0.2599370777606964, -0.24797853827476501, -0.1751817762851...
Given the task definition, example input & output, solve the new input case. In this task, you're given a review from Amazon and rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good. Your task is to generate whether the rating ...
False
1
NIv2
task1311_amazonreview_rating_classification
fs_opt
[ 0.0022878306917846203, 0.6346516609191895, -0.10527659207582474, 0.44930458068847656, 0.45547476410865784, -0.6651910543441772, 0.8743888735771179, 0.9192000031471252, -0.2137608379125595, 0.2661437392234802, -0.12631136178970337, 0.5100119113922119, -0.37470877170562744, -0.25637406110763...
Given the task definition and input, reply with output. In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story incoherent / implausible by indicating 1 or 2 in the output. If both sentences are plausible, pick...
2
5
NIv2
task070_abductivenli_incorrect_classification
zs_opt
[ -0.9249129891395569, 0.5006590485572815, 0.19545143842697144, 0.15784820914268494, -0.6082313060760498, -0.03672432899475098, 0.0756363719701767, 0.3916664123535156, 0.019937671720981598, -0.06600775569677353, -0.7821041941642761, 0.20015236735343933, -0.4842923879623413, -0.04591432586312...
In this task, you are given inputs i, j, and A, where i and j are integers and A is a list. You need to find all elements of A from the ith element to the jth element, reverse the order in which they occur, and then concatenate them to output the resultant string. i and j will be non-negative, and will always have a va...
X
1
NIv2
task101_reverse_and_concatenate_all_elements_from_index_i_to_j
fs_opt
[ 0.2715553939342499, -0.08024606853723526, -0.7810953855514526, -0.43564409017562866, -0.4638367295265198, -0.3601948916912079, 0.7980328798294067, 0.25594910979270935, -0.625885009765625, 0.0328754186630249, -0.8823058009147644, -0.17301803827285767, 0.2250293493270874, -0.2037764936685562...
You are given an elementary science question along with a few answer options. List all the words from the question that are essential and sufficient for choosing the correct answer option. Keep in mind that essential words are necessary to understand the meaning of the given question. However, non-essential words provi...
turtles, prey, important, ability, turtles, better, survival, offspring?
1
NIv2
task044_essential_terms_identifying_essential_words
fs_opt
[ 0.660825252532959, 0.40323472023010254, -0.5447433590888977, -0.044664159417152405, -0.2908635139465332, -1.581559181213379, 0.5245375037193298, 0.5377671718597412, -0.8458510637283325, 0.33952200412750244, -0.519393801689148, -0.08646871149539948, -1.1352345943450928, 0.004510823637247086...
In this task you're given a question and you have to paraphrase the question to create the output question while retaining the meaning of the original question. -------- Question: If nothing is impossible, can we move faster than light? Answer: Is there anything that moves faster than light? Question: What is the be...
How are physics and chemistry related to each other?
7
NIv2
task1345_glue_qqp_question_paraprashing
fs_opt
[ -0.14450374245643616, 1.7677228450775146, 0.7521690726280212, -0.5737111568450928, -0.4890686273574829, -0.2749498784542084, 0.2923039197921753, 0.21308666467666626, 0.24800065159797668, -0.1463356912136078, -0.974871039390564, -0.1957865059375763, -0.4906683564186096, 0.1368020623922348, ...
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". Input: sentence1:organization_founder is restoring to location sentence1:organization_founder i...
yes
3
NIv2
task970_sherliic_causal_relationship
zs_opt
[ -0.31476011872291565, 0.5006296634674072, 0.511605441570282, -0.15930788218975067, -0.23452383279800415, -0.5136216878890991, 0.10913698375225067, 0.07718195021152496, 0.2430773675441742, -0.22051534056663513, -0.5403528213500977, -0.406776487827301, -0.5367459058761597, -0.201994657516479...
Definition: 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....
No
2
NIv2
task1196_atomic_classification_oeffect
zs_opt
[ 0.2969346046447754, 0.39575567841529846, 0.3667447566986084, -0.20001265406608582, -0.48327720165252686, -0.7623484134674072, 1.179413914680481, 0.15244996547698975, -0.444463849067688, -0.4969330430030823, -0.46080297231674194, -0.24376487731933594, -0.5921617746353149, 0.1401699781417846...
Instructions: In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A preceding the last i elements. i will always have a value less than the length of A. Input: 8, ['w', '4327', 'p', '4583', 'R', 'c', '2339', '8847', 'l', 'U', '3055', 'M', '2931', '7671...
w, 4327, p, 4583, R, c, 2339, 8847, l, U, 3055, M, 2931, 7671, 3509, u, 9099, s, L, D, 6717, q
3
NIv2
task078_all_elements_except_last_i
zs_opt
[ 0.11051174998283386, 0.4379631280899048, -0.6153515577316284, -0.6265584230422974, -0.4701211452484131, -0.055353935807943344, 0.4538401961326599, 0.026541100814938545, -0.2689494490623474, -0.08956663310527802, -0.827489972114563, 0.18464624881744385, 0.5969363451004028, -0.49248176813125...
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. Example Input: Sentence: 'a player hits the ball during a baseball game'. Remove all words of length '8' in the given sentence. Example O...
a woman a tennis ball with a
3
NIv2
task377_remove_words_of_given_length
fs_opt
[ 0.05192194879055023, -0.08636651188135147, -0.5624881982803345, -0.4921569526195526, 0.09896408021450043, -0.48694130778312683, -0.050594769418239594, 0.5961223244667053, 0.00007505787652917206, -0.5150153636932373, -1.4190632104873657, -0.1505846530199051, -0.36879032850265503, -0.3739083...
Definition: In this task, you're given a context, a question, and three options. Your task is to find the correct answer to the question using the given context and options. Also, you may need to use commonsense reasoning about social situations to answer the questions. Classify your answers into 'A', 'B', and 'C'. Inp...
B
2
NIv2
task580_socialiqa_answer_generation
zs_opt
[ 0.1269126832485199, 0.38627368211746216, -0.21966692805290222, -0.06347496807575226, -0.6226410865783691, 0.19287319481372833, 0.654855489730835, 0.4070516526699066, 0.041897304356098175, -0.24920830130577087, -0.5335724353790283, 0.1366693675518036, 0.3049222230911255, -0.2308437526226043...
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 Arabic. To pierwsza bitwa, którą wygrał Waszyngton, punkt zwrotny wojny o niepodległość.
إنها كانت المعركة الأولى التي كسبها جورج واشنطن ، في الواقع ، وكانت الى حد كبير نقطة تحول في حرب الاستقلال.
5
NIv2
task1259_ted_translation_pl_ar
zs_opt
[ -0.08305896818637848, 1.1892635822296143, -0.051385294646024704, -0.7008609771728516, 0.14915373921394348, -0.5676896572113037, 1.4664891958236694, 0.08399252593517303, 1.2620973587036133, -0.018069252371788025, -0.077948659658432, 0.06312519311904907, -0.6989150643348694, 0.04693148285150...
Given the task definition and input, reply with output. In this task, you're given the beginning and the middle of a three-part story. Your job is to complete the short story by writing a probable ending. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using ...
Her parents were so proud, they flew over for a tour!
5
NIv2
task071_abductivenli_answer_generation
zs_opt
[ -0.30755433440208435, 0.9606755375862122, 0.06746222078800201, -0.12014372646808624, -0.31605738401412964, -0.04990854114294052, 0.2755435109138489, 0.18879787623882294, -0.11358209699392319, -0.2166946679353714, -0.7836322784423828, 0.5279887914657593, -0.0830065906047821, 0.0368142127990...
Detailed Instructions: You are given an amazon food product review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False". See one example below: Problem: I have bought several of the Vitality canned dog food products and have f...
True
4
NIv2
task587_amazonfood_polarity_correction_classification
fs_opt
[ 0.01814853772521019, -0.7987966537475586, 0.04112236946821213, 0.48278358578681946, 0.1395856887102127, -0.4231765866279602, 0.9270492792129517, 0.8086104393005371, -0.37002697587013245, -0.24980737268924713, 0.05298807844519615, 0.06038808077573776, -0.8130708932876587, -0.268524348735809...
Detailed Instructions: In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal. Problem:FBDvGaArKSnqRSVFhtewdFzvaIGSnNufuGmTSEe, WcMrHqRSVFhtewdFzvaIdZYxAaIfAhLkKL Solution:
a, b, d, e, f, g, h, i, k, m, n, q, r, s, t, u, v, w, z
8
NIv2
task756_find_longert_substring_and_return_all_unique_alphabets_in_it
zs_opt
[ 0.5348513126373291, 1.0564067363739014, -0.14747531712055206, -0.7890186309814453, 0.30629444122314453, 0.07067174464464188, 1.7556921243667603, -0.19283998012542725, -0.19604770839214325, 0.12219539284706116, -0.8537448644638062, 0.04940839856863022, -0.37335681915283203, -0.2394412457942...
Teacher:In this task, you're given passages that contain mentions of names of people, places, or things. Some of these mentions refer to the same person, place, or thing. Your job is to write questions that evaluate one's understanding of such references. Good questions are expected to link pronouns (she, her, him, his...
Who is the person that meets Buck on the surface married to?
6
NIv2
task001_quoref_question_generation
zs_opt
[ -0.13701000809669495, 0.520967960357666, -0.15456248819828033, -0.20119816064834595, 0.2790689766407013, 0.17843027412891388, 1.21843683719635, 0.4156472682952881, -0.36760425567626953, -0.07978279143571854, -0.20126697421073914, 0.129104882478714, -0.45888185501098633, 0.16978079080581665...
Teacher:You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Arabic. Teacher: Now, understand the problem? Solve this instance: La llevaron de urgencia al hospital, pero ya era muy tarde. Y murió. Student:
وأتساءل كم منكم عند النظر إلى هذا ،
6
NIv2
task1228_ted_translation_es_ar
zs_opt
[ 0.072740338742733, 0.7257769107818604, 0.09101808071136475, -1.2484456300735474, 0.07891998440027237, -0.12950600683689117, 0.09445280581712723, 0.7171381115913391, 0.4774046242237091, 0.13894563913345337, -0.0172214787453413, 0.07826747000217438, -0.3992241322994232, 0.048825979232788086,...
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...
D ****
4
NIv2
task611_mutual_multi_turn_dialogue
fs_opt
[ 0.4641597867012024, -0.009496727026998997, 0.05777933448553085, -0.5673984885215759, 0.702116072177887, 0.1615758240222931, 1.1982464790344238, 0.6541653275489807, -0.39086073637008667, 0.3551509380340576, 0.19316190481185913, 0.11682813614606857, -0.5658577680587769, 0.46173128485679626, ...
Given a prompt and two completions from a language model, select the completion that has the most similar style to the prompt. Style is defined as the tone, word choice, grammar, and sentence structure throughout the prompt-completion pair. If a prompt is colloquial, then the completion should also be colloquial, as op...
Output: Completion B
2
NIv2
task140_detoxifying-lms_classification_style
fs_opt
[ 0.5678684711456299, 0.15899546444416046, -0.4173019826412201, 0.08133241534233093, 0.10443476587533951, -0.3486776351928711, 0.46675512194633484, 0.34620171785354614, -0.284294456243515, -0.10211382806301117, -0.6783844828605652, 0.11315259337425232, -0.34604671597480774, -0.18408538401126...
Definition: Write a fact related to the given fact, based on the given topic word. Note that, your fact should have at least one word in common with the given fact. All facts in this task refer to scientific facts. Your related fact must form a chain with the given fact. Chains form when two facts connect together to p...
Recycling conserves natural resources.
2
NIv2
task037_qasc_generate_related_fact
zs_opt
[ 0.04129806533455849, 0.7176287174224854, -0.5576479434967041, -0.16920800507068634, -0.5014010667800903, -0.9465636610984802, -0.274086058139801, 0.5419566631317139, -0.051864080131053925, -0.16216784715652466, -1.4174602031707764, 0.9201542139053345, -0.6853502988815308, -0.00958190951496...
Definition: 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. New information can be introduced. Avoid u...
peoples look at sand sculptures
2
NIv2
task188_snli_neutral_to_entailment_text_modification
zs_opt
[ -0.3505627512931824, 0.6930807828903198, 0.018076542764902115, -0.6696609258651733, -0.05927232652902603, -0.26644015312194824, 0.3822116553783417, 0.27425089478492737, 0.3459172248840332, -0.7964071035385132, -0.6596903800964355, -0.5907818078994751, -0.2525213360786438, 0.237819775938987...
Detailed 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....
Completion C
8
NIv2
task156_codah_classification_adversarial
zs_opt
[ -0.30793705582618713, 0.9143983125686646, 0.28415340185165405, -0.7885614037513733, -0.6821864247322083, -0.9632543325424194, 0.9911676645278931, -0.1655866652727127, 0.22562876343727112, -0.3227231502532959, -0.5010983943939209, -0.1591131091117859, 0.39801663160324097, 0.3052640557289123...
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the e...
No
9
NIv2
task1203_atomic_classification_xreact
zs_opt
[ 0.12978480756282806, -0.008570407517254353, 0.4018329381942749, -0.33603185415267944, -0.43426674604415894, -1.4148242473602295, 1.12278413772583, 0.2631113827228546, -0.20966020226478577, -0.6328268051147461, -0.22210347652435303, -0.08560672402381897, -0.9358319044113159, 0.4725712537765...
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: What is more, the relevant cost dynamic is completely under control. Spanish:Por otra parte, la dinámica de los coste...
Yes
0
NIv2
task532_europarl_en-es_classification
zs_opt
[ -0.4344189167022705, 0.4252508878707886, 0.4858189821243286, 0.0025102058425545692, -0.15551632642745972, -0.6172252297401428, 0.18701118230819702, 1.5424045324325562, 0.13185888528823853, 0.03639828413724899, -0.2791093587875366, -0.07172650843858719, -0.6089590191841125, 0.64751547574996...
A text is given in Gujarati. Translate it from the Gujarati language to the Malayalam language. The translation must not omit or add information to the original sentence. Let me give you an example: ઊર્જાનો પુરવઠો, ઊર્જાનાં સ્રોતો અને ઊર્જાનાં વપરાશની પદ્ધતિઓ બદલાઈ રહી છે The answer to this example can be: Energy ർജ്ജ...
ആരോഗ്യ-മെഡിക്കല്‍ ശാസ്ത്ര മേഖലകളിലെ സഹകരണത്തിന് ഇന്ത്യയും ഇറ്റലിയും തമ്മിലേര്‍പ്പെട്ട ധാരണാപത്രത്തിന് പ്രധാനമന്ത്രി ശ്രീ നരേന്ദ്രമോദിയുടെ അദ്ധ്യക്ഷതയില്‍ ചേര്‍ന്ന കേന്ദ്ര മന്ത്രിസഭായോഗം മുന്‍കാലപ്രാബല്യത്തോടെ അംഗീകാരം നല്‍കി.
8
NIv2
task1041_pib_translation_gujarati_malayalam
fs_opt
[ 0.04514162614941597, 0.6247008442878723, -0.33836960792541504, -0.8575706481933594, -0.07524829357862473, -1.094989538192749, -0.06042984500527382, 0.39661702513694763, 0.12978464365005493, -0.09163198620080948, -0.5131785869598389, -0.29497501254081726, -0.13799545168876648, -0.4072364866...
TASK DEFINITION: Given a scientific question, generate an incorrect answer to the given question. The incorrect answer should be a plausible alternative to the correct answer. The answer should be some other item belonging to the same category as the correct answer but should be incorrect. PROBLEM: Sulfur can combine w...
gene diversion
8
NIv2
task592_sciq_incorrect_answer_generation
fs_opt
[ 0.13224253058433533, 0.5612982511520386, -0.3876149356365204, -0.4083453416824341, -0.6341876983642578, -0.32887154817581177, 0.2697221636772156, 0.4919643998146057, 0.22811207175254822, -0.02208527736365795, -0.7011659741401672, -0.054069653153419495, -0.5706738233566284, 0.29766625165939...
Given the task definition, example input & output, solve the new input case. Given a sentence in Chinese, generate a new Chinese sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have ...
拥有一个fib y的效果是 你挡住很多疼痛。
1
NIv2
task412_mickey_zh_sentence_perturbation_generation
fs_opt
[ -0.19018931686878204, 0.29120922088623047, -0.38417357206344604, 0.11961259692907333, 0.5159411430358887, -0.08146798610687256, -0.0847511738538742, 0.9783207178115845, 0.18627692759037018, -0.05764146149158478, -0.6539415717124939, 0.11404638737440109, 0.023165065795183182, -0.22735461592...
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 ...
Solution: Вие сте най-вероятно да намерите малко по-голям бар в един офис магазин за хранителни продукти.
5
NIv2
task415_mickey_bg_sentence_perturbation_generation
fs_opt
[ 0.23457714915275574, 0.3206273913383484, -0.3826986849308014, -0.5505620837211609, 0.007667288184165955, -0.6330179572105408, 1.0839353799819946, 0.950232982635498, 0.9903054237365723, -0.36045515537261963, -0.47502467036247253, 0.48015064001083374, -0.3651948571205139, 0.02458366751670837...
This task is about translating a given Yoruba language sentence to English. --- Ẹ máa jẹ́ kí àwọn ọlọ̀tẹ̀ pín Nàíjíríà yẹ́lẹ-yẹ̀lẹ – Ààrẹ Buhari.
--- Don’t let terrorists divide the country – President Buhari
0
NIv2
task1686_menyo20k_translation
zs_opt
[ 0.06277097761631012, 0.3692747950553894, -0.3460216522216797, 0.14056254923343658, -0.5547060370445251, -0.207475483417511, 0.47448569536209106, 0.1524362862110138, 0.3182127773761749, 0.04107924550771713, 0.145504429936409, -0.06797675788402557, -0.538423478603363, 0.9362883567810059, 0...
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. Q: નાના ટ્રેન જાડા, કાળા ધુમાડાને કારણે વિશ્વભરમાં આબો...
English ****
4
NIv2
task441_eng_guj_parallel_corpus_gu-en_language_identification
fs_opt
[ -0.6322638988494873, 0.4380534291267395, 0.6558748483657837, -0.3276093900203705, 0.04429544135928154, -0.533866286277771, 0.3441694378852844, 0.18738719820976257, 0.38987264037132263, -0.24742810428142548, -0.7365598678588867, 0.26779791712760925, 0.036619819700717926, -0.2761681079864502...
TASK DEFINITION: In this task, you are given a sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No". PROBLEM: English: The sheep researchers postulate that low levels o...
No
8
NIv2
task437_alt_en_ja_answer_generation
fs_opt
[ -0.06180127337574959, -0.04183138906955719, 0.648845374584198, -0.15014252066612244, 0.21011802554130554, -1.3664450645446777, 1.0502066612243652, 0.6111350059509277, -0.024023517966270447, -0.4778584837913513, -0.03750317916274071, 0.41363954544067383, -0.7517600655555725, 0.2075298726558...
Part 1. Definition You are given a question and some answer options (associated with "A", "B", "C", "D"). You should choose the correct answer based on commonsense knowledge. Avoid answering questions based on associations, the set of answers are chosen deliberately to capture common sense beyond associations. Do not g...
E
7
NIv2
task073_commonsenseqa_answer_generation
fs_opt
[ 0.5496861338615417, 0.13834279775619507, -0.7906128168106079, 0.19582520425319672, 0.04186224192380905, -0.4687223434448242, 0.9890267848968506, -0.19708354771137238, 0.27336639165878296, -0.6874167323112488, -0.36437225341796875, 0.29905831813812256, -0.23625648021697998, -0.2696329951286...
You will be given a definition of a task first, then some input of the task. Given a sentence in the Lao, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is. ເຮືອສຳລານໂດຍສານໄດ້ຫຼົ້ມ ແລະ ຈົມລົງຈາກເກາະ Sibuyan ໃນວັນທີ 21 ເດືອນມິຖຸນາ ...
旅客フェリーは数百人の死傷者を出した台風フンシェン(地元では台風フランクとして知られている)が来ていた6月21日に、シブヤン島で転覆して沈没した。
1
NIv2
task1125_alt_lo_ja_translation
zs_opt
[ -0.3143816590309143, -0.12911191582679749, -0.42386260628700256, -0.6593215465545654, 0.2683653235435486, -1.0381313562393188, 0.22264978289604187, -0.1545647382736206, -0.3669775128364563, 0.3320894241333008, -0.0008390245493501425, 0.2851598858833313, -0.5479681491851807, 0.6908102631568...
Detailed Instructions: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer. Q: kale was drawing on scrap...
30
9
NIv2
task862_asdiv_multidiv_question_answering
zs_opt
[ 0.299033522605896, 1.0883924961090088, 0.48823076486587524, -0.7474766969680786, -0.022355280816555023, 0.510496973991394, 0.7423783540725708, 0.6914043426513672, -0.6759330630302429, -0.07865594327449799, -0.2370101809501648, -0.30903562903404236, -0.2632087469100952, 0.3122294843196869, ...
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...
Output: yes
2
NIv2
task211_logic2text_classification
fs_opt
[ 0.12801718711853027, -0.2531595230102539, -0.31214258074760437, 0.3962434232234955, 0.5804674625396729, -0.4286091923713684, 0.17165076732635498, 0.49683278799057007, -0.1235404685139656, 0.10422615706920624, -0.38703423738479614, 0.14459283649921417, 0.3511684238910675, 0.3579590320587158...
Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form. Example: Supplemental Nutrition Assistance Program (SNAP) Eligibility. To see if you might be eligible for Supplementa...
Solution: Normally a period will last for 3 to 5 days.
5
NIv2
task870_msmarco_answer_generation
fs_opt
[ 0.47677144408226013, 0.4207528233528137, -0.213717520236969, -0.12167862802743912, 0.35343462228775024, -0.6732192039489746, 0.9221841096878052, 1.1886262893676758, -0.28352609276771545, 0.0824875459074974, 0.2262791395187378, 0.1632234752178192, -0.9336714148521423, 0.4227348864078522, ...
You will be given a definition of a task first, then some input of the task. In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alte...
Cara had the most votes so she won.
1
NIv2
task068_abductivenli_incorrect_answer_generation
zs_opt
[ 0.07330755889415741, 0.11215691268444061, 0.09703755378723145, 0.6200583577156067, 0.1420745849609375, -0.3084770441055298, -0.10918323695659637, 0.7080793976783752, -0.472301185131073, -0.048735398799180984, -0.04261597990989685, 0.22330249845981598, 0.11027119308710098, -0.53969478607177...
Detailed Instructions: A text is given in Hindi. Translate it from the Hindi language to the Marathi language. The translation must not omit or add information to the original sentence. Q: आणि मी जेव्हा येथे काम करत होतो तेव्हा गुजरातेत आमचे सरकार होते, त्या वेळी मला असे कैक निर्णय घेण्याची संधी मिळाली होती. A:
और गुजरात में हमारी सरकार थी, मैं जब यहां काम करता था, उस समय मुझे ऐसे कई निर्णय करने का अवसर मिला था।
9
NIv2
task1082_pib_translation_marathi_hindi
zs_opt
[ -0.13236844539642334, 0.10362100601196289, 0.24463853240013123, -0.038603201508522034, 0.07494767010211945, -1.66803777217865, 0.47427570819854736, 0.3426928222179413, -0.020915377885103226, -0.0960826575756073, -0.36820459365844727, -0.49532419443130493, -0.8914188146591187, 0.42050015926...
This task is to translate a news commentary given in Arabic language into Czech language. Translate the input statement into the output language while preserving the numberical values, special characters and context of the commentary done. -------- Question: فضلاً عن ذلك فإن الصدمة اليابانية ليست العامل السلبي الوحيد ...
V roce 1973 konzervativní vláda dovedla Velkou Británii do Evropského hospodářského společenství. Margaret Thatcherová spolupracovala roku 1986 s Jacquesem Delorsem na vytvoření jednotného trhu.
7
NIv2
task1374_newscomm_translation
fs_opt
[ 0.4214457869529724, -0.050959981977939606, -0.38900309801101685, 0.009222334250807762, -0.09329554438591003, -0.3534887433052063, 1.1030614376068115, 0.984960675239563, 0.03123091161251068, -0.2033875733613968, 0.11496654152870178, 0.3490847647190094, -0.8898344039916992, 0.030919086188077...
Given the task definition, example input & output, solve the new input case. In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length. Example: The severe acute respiratory syndrom...
Icariin promotes osteogenic differentiation of BMSCs by upregulating BMAL1 expression via BMP signaling
1
NIv2
task1161_coda19_title_generation
fs_opt
[ 0.6935243606567383, 0.04530265927314758, -0.9301882386207581, 0.38385888934135437, 0.9807418584823608, 0.24783751368522644, 0.6955845355987549, 1.1720848083496094, -0.16101723909378052, 0.7011922597885132, -0.16737009584903717, 0.8797553777694702, -0.14219096302986145, 0.3737567067146301, ...
In this task, you are given inputs k, i, and A, where k and i are integers and A is a list. You need to find every ith element of A starting from the kth element. The process stops when the position of the next ith element exceeds the length of the list. [Q]: 3, 10, ['9829', '3477', '4077', '2369', 'o', '5215', 'k', '...
C, 1407, g
5
NIv2
task1551_every_ith_element_from_kth_element
fs_opt
[ 0.1618994176387787, 0.12686008214950562, -0.7010784149169922, -0.6321786642074585, -0.7919423580169678, -0.21481508016586304, 0.6950540542602539, 0.09360124915838242, -0.4259500503540039, 0.37518227100372314, -0.8448057770729065, 0.11299965530633926, 0.017588872462511063, 0.116140820086002...
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. Problem:Who worked for a newspaper?, Context: Raymond B. Bragg, the associate editor of The New Humanist, sought to consolidate the input of Leon Milton Birkhead, Charles Fran...
Raymond B. Bragg
8
NIv2
task1295_adversarial_qa_question_answering
zs_opt
[ 0.13209617137908936, 0.1320939064025879, -0.09964831173419952, -0.558597207069397, -0.09739787876605988, -0.7294107675552368, 0.17962490022182465, -0.23952794075012207, 0.7023335695266724, -0.139458566904068, -0.7696481943130493, 0.2150031179189682, -0.21311095356941223, -0.392767935991287...
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. Let me give you an example: I sting a mosquito (A) A h...
B
8
NIv2
task295_semeval_2020_task4_commonsense_reasoning
fs_opt
[ -0.02286059595644474, 0.5446354150772095, -0.42149317264556885, -0.43404442071914673, 0.13518482446670532, -1.1215879917144775, 0.40458303689956665, 0.26339012384414673, -0.03232021629810333, 0.45598381757736206, -0.2227449119091034, 0.13301630318164825, 0.0054677859880030155, -0.370246738...
Q: 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 ...
The girl gets hit >Causes> The girl feel(s) pain
7
NIv2
task749_glucose_reverse_cause_emotion_detection
zs_opt
[ -0.13574108481407166, 0.5943206548690796, -0.08244986832141876, -0.29215967655181885, 0.218932643532753, -1.0769611597061157, 0.7793548107147217, 0.846574604511261, 0.3940112590789795, -0.20213235914707184, -0.12863969802856445, 0.6190841197967529, -0.053531747311353683, -0.259261459112167...
You are given a science question (hard-level) and four answer options (associated with "A", "B", "C", "D"). Your task is to find the correct answer based on scientific facts, knowledge, and reasoning. Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'. There is only one correct ...
C
1
NIv2
task229_arc_answer_generation_hard
fs_opt
[ 0.7612435221672058, 0.06270501017570496, -0.4524276852607727, -0.8659985065460205, -0.6523870229721069, -0.6461526155471802, 0.0954815000295639, 0.6380389332771301, -0.16871598362922668, -0.12208043038845062, -0.24856992065906525, 0.3467952013015747, -0.5764048099517822, -0.044414035975933...
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. Input: Consider Input: Context_1 : 7th (City of Belfast) Battalion, Ulster Defence Regiment ...
Output: Dreams to Dream is a song from the 1991 animated feature film An American Tail: Fievel Goes West, based on a short instrumental piece from its prequel An American Tail, released in which year, an American animated musical adventure family comedydrama film directed by Don Bluth?
2
NIv2
task191_hotpotqa_question_generation
fs_opt
[ 1.061582326889038, 1.3386805057525635, -0.5063475370407104, 0.11703763157129288, 0.20540650188922882, -1.087104320526123, 0.8777321577072144, 1.1256399154663086, 0.29539942741394043, -0.6201928853988647, -0.38837987184524536, 0.5605652928352356, -1.0176002979278564, 0.3773113787174225, -...
Given the task definition and input, reply with output. In this task you will be given a string of characters. You should remove all vowels from the given string. Vowels are: i,e,a,u,o. The character 'y' or 'Y' does not count as a vowel. EUEAEL
L
5
NIv2
task365_synthetic_remove_vowels
zs_opt
[ 0.10443241894245148, 1.1565665006637573, 0.1260770708322525, -0.38767457008361816, 0.41148433089256287, -0.8352311253547668, 0.42542487382888794, 0.6094273328781128, -0.07527299225330353, -0.37837904691696167, -0.06297516822814941, -0.08684757351875305, 0.17134998738765717, -0.773846387863...
You will be given a definition of a task first, then some input of the task. You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish. 持続可能性について考えることの手助けとなると思っています建設的な方法を使ってですそして教育にもなりますリサイクルのことは知っているでしょうが全てのことの持続可能性を考えたりはしていないでしょうエネルギーフットプリント 'やそれがどうして重要なのかも Output:
Creo que esto empieza a motivar toda la idea sobre sostenibilidad de un modo positivo, Y empieza a enseñarles. Ellos saben sobre reciclaje ahora pero creo que no sacan la sostenibilidad de todas las cosas, y sobre la huella energética, y cómo eso importa.
1
NIv2
task1223_ted_translation_ja_es
zs_opt
[ -0.5452027320861816, 0.27489614486694336, 0.3024883270263672, -0.25006985664367676, -0.5820004940032959, -1.4656786918640137, 0.37315815687179565, 0.6853502988815308, 0.07712007313966751, -0.3375435173511505, -0.011183775030076504, 0.11367091536521912, -0.6317934393882751, -0.1434805989265...
In this task, you're given a passage, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'. Ex Input: Passage: The Very Best of TLC: Crazy...
Answer: 48.7%
1
NIv2
task238_iirc_answer_from_passage_answer_generation
fs_opt
[ 0.1508311629295349, -0.04802186042070389, -0.42675110697746277, -0.20890673995018005, 0.6570483446121216, -0.5517342686653137, 0.4677872359752655, 0.4687674343585968, -0.6070563793182373, 0.5621156692504883, -0.3216041028499603, 0.41516169905662537, -0.6636258363723755, 0.0810566246509552,...
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". Japanese: しばしばソウル界のゴッドファーザーと呼ばれるジェームズ・ブラウンが鬱血性心不全と肺炎の合併症によりアトランタで亡くなった。 Bah...
Yes
0
NIv2
task1117_alt_ja_id_answer_generation
zs_opt
[ -0.2093707025051117, 0.014689566567540169, -0.01825689524412155, -0.15606200695037842, 0.05396650731563568, -1.5244601964950562, 0.03960437327623367, -0.311371386051178, 0.06366188824176788, 0.1411140263080597, -0.23051907122135162, 0.17459306120872498, -0.4323646128177643, 0.4954361915588...
In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify given passage into two categories: (1) "yes" if the given context is useful in answering the question, and (2) "no" if the given context is not useful. [Q]: Context: We need more men like Drake ...
no
5
NIv2
task242_tweetqa_classification
fs_opt
[ -0.2205972522497177, 0.38324329257011414, 0.1811610460281372, 0.13146692514419556, -0.17753344774246216, -0.4198760986328125, -0.12874868512153625, 0.4051934480667114, -0.13197316229343414, 0.4079068899154663, -0.29935356974601746, 0.16176795959472656, -0.3160596489906311, -0.2613420486450...
Teacher: The task is to generate the correct answer for a given math problem. Teacher: Now, understand the problem? If you are still confused, see the following example: a multiple choice test consists of 4 questions, and each question has 5 answer choices. in how many r ways can the test be completed if every question...
5
2
NIv2
task1726_mathqa_correct_answer_generation
fs_opt
[ 0.2466544657945633, -0.2948833107948303, 0.5636794567108154, 0.040297817438840866, 0.31941476464271545, 0.35761019587516785, 0.3971533179283142, 0.7100874781608582, -0.4072723984718323, -0.13036635518074036, -0.46613550186157227, -0.29432979226112366, -0.6350485682487488, -0.25272327661514...
Teacher:Given an Amazon customer review, write a title for the review. The preferred titles are under fifteen words. Teacher: Now, understand the problem? Solve this instance: Works perfectly for my Surface Pro 3. Thanks! Student:
Five Stars
6
NIv2
task1342_amazon_us_reviews_title
zs_opt
[ -0.29793691635131836, -0.22577807307243347, 0.022642403841018677, -0.9941931962966919, 0.4557289183139801, -0.2292046844959259, 0.29595908522605896, 0.2769136428833008, 0.30091196298599243, 0.19354534149169922, 0.5170731544494629, 0.6262426376342773, -0.29567766189575195, -0.80010795593261...
Given a document, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link]. Verify if the sentiment of the following document towards the entity Donald J. Trump is Positive . Hours aft...
no
0
NIv2
task423_persent_document_sentiment_verification
zs_opt
[ -0.48176309466362, 0.44352707266807556, -0.48379766941070557, 0.38583892583847046, 0.7320492267608643, -0.32809901237487793, 0.2805368900299072, 0.908500075340271, -0.2922390103340149, 0.388082891702652, -0.0016284303274005651, 0.6732744574546814, -0.38119158148765564, 0.19511611759662628,...
Detailed Instructions: Two analogies that signify affordances are given in the form "A : B. C : ?". Affordance is the possibility of an action being done on an object, for example book is an affordance of writing. The phrase "A : B" implies that B is an affordance of A. Your task is to replace the question mark (?) wit...
dishes
9
NIv2
task1153_bard_analogical_reasoning_affordance
zs_opt
[ 0.0848124697804451, 0.9631520509719849, -0.28651025891304016, 0.09583836793899536, -0.6758161187171936, -0.11901496350765228, 0.8975239992141724, 0.22257187962532043, -0.026965441182255745, -0.06553322076797485, -0.6012891530990601, -0.16745230555534363, 0.23400884866714478, 0.227853178977...