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 |
|---|---|---|---|---|---|---|
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. If the conversation begins with a question, label it '1' otherwise '0'.
--------
Question: Person1: The sun is shining .
Person2: But there're some mare's tails .
Person1: That's ... | 1
| 7 | NIv2 | task1534_daily_dialog_question_classification | fs_opt | [
0.607464075088501,
0.1443594992160797,
-0.3543514609336853,
0.5051631927490234,
-0.109093576669693,
-0.5388765335083008,
0.6341845989227295,
0.5918242335319519,
-0.28534722328186035,
0.16896003484725952,
-0.019566144794225693,
-0.47031742334365845,
0.17481040954589844,
-0.06449190527200699... |
Given the task definition and input, reply with output. In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Romanian language.
London 2012 Olympics Opening Ceremony 'to feature a green and pleasant land'
| Ceremonia de deschidere a Jocurilor Olimpice de la Londra 2012 „va conține un ținut verde și plăcut” | 5 | NIv2 | task1436_ro_sts_parallel_language_translation_en_to_ro | zs_opt | [
-0.7996373176574707,
0.6707017421722412,
-0.2956896126270294,
-0.4639814496040344,
-0.4552762508392334,
-0.37624579668045044,
-0.02200576290488243,
0.2722727656364441,
0.7755699157714844,
-0.057161666452884674,
0.26459869742393494,
1.1884052753448486,
-0.1365264654159546,
0.191884130239486... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a text from a post. Your task is to find all of the proper nouns and label them. The labels are <B-PER>, <I-PER> for persons; <B-ORG>, <I-ORG> for organizations; <B-LOC>, <I-LOC> for locations; and <B-MISC>, <I-MISC... | Interacciones <B-ORG> ups Mexico <B-LOC> GDP forecast , lowers peso . | 1 | NIv2 | task610_conllpp_ner | fs_opt | [
-0.017646903172135353,
-0.004257730208337307,
0.01657979190349579,
0.6440868377685547,
0.03262287750840187,
-0.1633819043636322,
-0.1213158518075943,
0.9200499653816223,
-0.3803735673427582,
0.10757330060005188,
-0.21377958357334137,
0.23116785287857056,
-0.3710397779941559,
0.460785478353... |
In this task, you are given a review of product in Polish language and a question whether this review has positive sentiment. You are expected to generate the answer. The output should be "Yes" or "No". Don't generate anything apart from "Yes", "No".
Text: toster przyszedł z wznieciona obudowa (widoczne) oraz z zadrap... | No | 0 | NIv2 | task635_allegro_reviews_answer_generation | zs_opt | [
-0.8522202968597412,
0.3210683763027191,
0.31238600611686707,
0.2908588945865631,
-0.17682477831840515,
-0.5789363384246826,
0.7031501531600952,
0.16145284473896027,
-0.25120487809181213,
0.025804884731769562,
0.24375571310520172,
0.7467035055160522,
-0.19605082273483276,
-0.16357930004596... |
Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's beli... | red_bucket
| 1 | NIv2 | task153_tomqa_find_location_hard_clean | fs_opt | [
0.23580767214298248,
-0.5865797996520996,
-0.5321696996688843,
0.20180951058864594,
-0.33044299483299255,
-0.4281243085861206,
-0.01212035957723856,
0.8505495190620422,
-0.040617845952510834,
-0.08527176082134247,
-0.6054226160049438,
0.5580873489379883,
-0.108658567070961,
-0.097459718585... |
Given the task definition, example input & output, solve the new input case.
You are given a background paragraph that describes one or more causal or qualitative relationships such as a relationship in economics or a scientific law and a story that makes use of the concepts or the relationship described in the provide... | Drum P. | 1 | NIv2 | task061_ropes_answer_generation | fs_opt | [
0.061684317886829376,
0.1218954473733902,
-0.36217787861824036,
0.06650874763727188,
0.6420423984527588,
-0.7039642333984375,
-0.09396322071552277,
1.4814499616622925,
-0.42174527049064636,
0.4324986934661865,
-0.4476061165332794,
0.030864201486110687,
-0.3058015704154968,
-0.1284608542919... |
Given a prompt and two completions from a language model, select the completion that is the least toxic with respect to continuing the prompt. Toxicity is defined as a rude, disrespectful, or unreasonable statement that is likely to make you leave a discussion. Generate either Completion A or Completion B.
[EX Q]: Pro... | Completion B
| 6 | NIv2 | task137_detoxifying-lms_classification_toxicity | fs_opt | [
0.4058097004890442,
-0.059174519032239914,
-0.46915745735168457,
-0.15722888708114624,
-0.40058624744415283,
-0.8005027174949646,
0.8182755708694458,
0.34316933155059814,
-0.5447283983230591,
-0.03652055561542511,
-0.2653821110725403,
0.0438600592315197,
0.028607197105884552,
-0.5373272895... |
Instructions: In this task, you are given a summary for US Congressional and California state bill, your task is to generate a Title for this bill. The preferred titles are under forty words and mention the purpose of the bill.
Input: National Geologic Mapping Reauthorization Act of 2004 - Amends the National Geologic ... | A bill to reauthorize and amend the National Geologic Mapping Act of 1992. | 3 | NIv2 | task1659_title_generation | zs_opt | [
-0.5546166300773621,
0.6614342927932739,
-0.3274628818035126,
-0.052519164979457855,
-0.20898166298866272,
-0.8766762614250183,
0.6733033657073975,
0.26918724179267883,
-0.20149537920951843,
0.10061608254909515,
-0.00320613756775856,
0.013836327940225601,
0.14055493474006653,
-0.5668179988... |
Instructions: In this task, you are presented with a term, a description of the term, and an expected answer ('yes' or 'no'). You should write a yes-no question about the given term such that the answer is the one provided to you (i.e., If the answer is "No", you should ask a question that its answer would be "No", and... | Can all of Snow White's dwarfs play a game of 7 Wonders simultaneously? | 3 | NIv2 | task167_strategyqa_question_generation | zs_opt | [
0.23210343718528748,
0.5532499551773071,
-0.12303469330072403,
0.5477414727210999,
-0.3370468020439148,
-0.30585893988609314,
0.5223127603530884,
0.5775063037872314,
0.36231496930122375,
-0.15104907751083374,
-0.031312860548496246,
0.8174837231636047,
-0.9107061624526978,
-0.41906636953353... |
This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, object] are similar to each other. The input is a list of... | SIMILAR | 9 | NIv2 | task1408_dart_similarity_classification | fs_opt | [
-0.856948971748352,
0.2687860131263733,
0.25790321826934814,
-0.6966655850410461,
-0.07087713479995728,
-0.41344672441482544,
1.4627933502197266,
0.1971534788608551,
-0.21429632604122162,
0.2812163829803467,
-0.4484897553920746,
-0.04072146117687225,
-0.6438344717025757,
0.2784070670604706... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | Yes | 9 | NIv2 | task1204_atomic_classification_hinderedby | fs_opt | [
0.733154296875,
0.04104527086019516,
0.24835540354251862,
0.2737883925437927,
-0.523716151714325,
-1.3429043292999268,
0.5532294511795044,
0.8466638326644897,
-0.4676780104637146,
-0.23278820514678955,
-0.9051716923713684,
-0.02337786927819252,
-0.7824833989143372,
-0.12369907647371292,
... |
In this task, the input is a set of dialogues between a user and an assistant. You need to find the dialogue that is basically a response given to a question or an aspect of the user.
One example: Hi. I want information about Namibia.
Nmbia is a country in southern Africa.
Do you have information about the media th... | The Industrial Revolution transformed Berlin during the 19th century, the cit's economy and population expanded dramatically. | 6 | NIv2 | task576_curiosity_dialogs_answer_generation | fs_opt | [
0.04052324965596199,
0.5486693978309631,
0.012208476662635803,
-0.5185456275939941,
-0.563352644443512,
0.2961592674255371,
1.2974289655685425,
0.06163954734802246,
0.6436065435409546,
-0.044616542756557465,
-0.7367806434631348,
-0.44061172008514404,
-0.40362945199012756,
0.121376387774944... |
In this task, you will be shown a conversation and a question. You need to answer the question and choose the correct option based on the conversation. "W" and "M" in the conversations stand for "woman" and "man".
Let me give you an example: M: I am considering dropping my dancing class. I am not making any progress. ... | (C) Study in a quiet place. | 8 | NIv2 | task247_dream_answer_generation | fs_opt | [
0.18676626682281494,
0.03715154528617859,
-0.42030370235443115,
-0.6188571453094482,
0.32593029737472534,
-0.23352718353271484,
0.7397397756576538,
0.5541453957557678,
0.11897149682044983,
-0.1614593267440796,
-0.47500354051589966,
-0.21545329689979553,
-0.040274478495121,
-0.3098758459091... |
Teacher:This task is about identifying the subject of a given sentence. The subject of a sentence is the person, place, or thing that is performing the action of the sentence. The subject represents what or whom the sentence is about. Each sentence in this task is guaranteed to contain a single subject. The input is a ... | Curitiba | 6 | NIv2 | task1411_dart_subject_identification | zs_opt | [
-0.2631707787513733,
0.723952054977417,
-0.3619219660758972,
-0.38707104325294495,
-0.7760674953460693,
0.019961010664701462,
0.42296072840690613,
0.7258522510528564,
0.06078105419874191,
-0.47846388816833496,
-0.7079682946205139,
0.0036638828460127115,
-0.8356814384460449,
0.1940887868404... |
Craft one correct answer to the question given in input. To make it more interesting, try to use non-stereotypical language if possible. Make sure your correct answer is reasonably long, consistent with the context, and requires common sense (instead of explicit extraction from the context.) In your answer, use as few ... | The child wants to hide from all the surroundings with a familiar person . | 0 | NIv2 | task024_cosmosqa_answer_generation | zs_opt | [
-0.20259082317352295,
0.5400040149688721,
-0.38113927841186523,
0.4326874911785126,
-0.4446351230144501,
-0.5391585826873779,
0.7570238709449768,
0.056833416223526,
-0.21309156715869904,
-0.2591341435909271,
-0.4906996488571167,
0.5506143569946289,
-0.7885497212409973,
0.18684136867523193,... |
In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.
Input: Consider Input: Malaria resistant to chloroquine has now been confirmed in more than 40 countries. The drug was introduced in 1934, but was not in large-scale use until t... | Output: Quality of life of young adults with idiopathic short stature: effect of growth hormone treatment. Dutch Growth Hormone Working Group.
| 2 | NIv2 | task1586_scifact_title_generation | fs_opt | [
0.6465268731117249,
0.4913383424282074,
-0.6472395658493042,
-0.981187641620636,
0.634648323059082,
-0.3083474040031433,
0.9622008204460144,
0.8140062093734741,
-0.06382164359092712,
0.011737316846847534,
-0.8180174231529236,
1.0511648654937744,
-0.8998159766197205,
0.05301160365343094,
... |
Detailed Instructions: 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 tweet... | Favor | 4 | NIv2 | task1646_dataset_card_for_catalonia_independence_corpus_text_classification | fs_opt | [
0.7656598091125488,
-0.21203041076660156,
-0.2994334101676941,
0.131342813372612,
0.2405010461807251,
-0.6143923997879028,
0.7189970016479492,
1.0052639245986938,
0.2841222286224365,
0.28869742155075073,
-0.33242538571357727,
-0.11017123609781265,
0.43022286891937256,
0.1208297610282898,
... |
instruction:
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... | Which county that I-24 goes through has the highest population?
| 9 | NIv2 | task236_iirc_question_from_passage_answer_generation | fs_opt | [
0.4473388195037842,
0.8170208930969238,
-0.3384830355644226,
0.35406941175460815,
0.6972712278366089,
-0.22333812713623047,
0.7583067417144775,
0.8090274333953857,
-0.4273841083049774,
0.3030269742012024,
-0.6025395393371582,
0.3199727535247803,
-0.5572908520698547,
-0.33266836404800415,
... |
Part 1. Definition
You are given a sentence in Galician. Your job is to translate the Galician sentence into Farsi.
Part 2. Example
Cando chegas a estas sociedades en desenrolo, as mulleres son os piares da súa comunidade, pero os homes seguen a ser os que controlan as rúas.
Answer: وقتی به این جامعه های در حال توسعه م... | و بدین ترتیب وقتی فهمیدم ، که درخواست ازدواج من به دوست دخترم را در انتهای وبلاگ قرار دادی ، که درخواست ازدواج من به دوست دخترم را در انتهای وبلاگ قرار دادی .از خود بیخود شدم | 7 | NIv2 | task1245_ted_translation_gl_fa | fs_opt | [
-0.6288198232650757,
0.8819056749343872,
-0.04249259829521179,
-0.548844039440155,
0.261741042137146,
-0.9152917861938477,
0.7295916676521301,
1.1448543071746826,
0.060665592551231384,
0.30494099855422974,
-1.0914289951324463,
0.3586580455303192,
-0.9047600030899048,
-0.05439373850822449,
... |
In this task, you are given an input i,A where i is an integer and A is an array. You need to find every ith element of A starting with the 1st element.
Example: 3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']
Example solution: a, 931, 13245
Example explanation: Here, every 3rd element from array are 'a', '931'... | Solution: a, d, 6709 | 5 | NIv2 | task1542_every_ith_element_from_starting | fs_opt | [
0.7787227630615234,
0.11462884396314621,
-0.4765796363353729,
-0.8479242324829102,
-0.18325603008270264,
0.17191088199615479,
0.9009593725204468,
-0.6398136615753174,
0.03541754558682442,
-0.4657655954360962,
-0.7590231895446777,
-0.2991052269935608,
0.013991104438900948,
-0.11759017407894... |
You are given a statement written in Assamese. 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 .
One example: Statement: ৰোমান সম্ৰাজ্যৰ সময়ত আনুমানিক খ্ৰীষ্টীয় দ্বিতীয় শতিকাত নেমু দক্ষিণ ইটালীৰ পৰা ইউৰোপত প... | ভাৰত | 6 | NIv2 | task944_wiki_cloze_as_multiple_choice_question_answering | fs_opt | [
-0.12720906734466553,
0.6108962893486023,
-0.006355861201882362,
0.4971764087677002,
-0.21546891331672668,
0.24035435914993286,
-0.010155903175473213,
0.6850345134735107,
0.564671516418457,
0.32669973373413086,
0.3172258138656616,
0.8580716848373413,
-0.7488147020339966,
-0.285159021615982... |
Given the task definition and input, reply with output. 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, yo... | b | 5 | NIv2 | task233_iirc_link_exists_classification | zs_opt | [
0.08910419046878815,
0.3789341449737549,
-0.07108660042285919,
-0.7835981845855713,
0.0647544413805008,
-0.689916729927063,
0.43795323371887207,
0.9027711153030396,
0.792035698890686,
0.41152065992355347,
0.0908343717455864,
0.8035439252853394,
-1.0921003818511963,
0.11729065328836441,
0... |
Part 1. Definition
In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with the rest of the story. Indicate your answer by "Yes" if i... | Yes | 7 | NIv2 | task066_timetravel_binary_consistency_classification | fs_opt | [
-0.0845666229724884,
0.15598979592323303,
-0.09507210552692413,
0.34446656703948975,
0.2158273458480835,
-0.2685883641242981,
0.16907724738121033,
1.0971791744232178,
0.36013489961624146,
-0.02247578091919422,
-0.20228371024131775,
-0.2255670726299286,
-0.7906407713890076,
-0.2562163472175... |
Instructions: In this task, you're given a context passage, followed by a question that needs to be answered. Based on the paragraph, you must write unambiguous answers to the questions and your answer must refer to a specific phrase from the paragraph. If multiple answers seem to exist, write the answer that is the mo... | relief | 3 | NIv2 | task595_mocha_answer_generation | zs_opt | [
0.19564113020896912,
0.4655141830444336,
0.17674380540847778,
-0.010580035857856274,
-0.243088960647583,
-0.1361347883939743,
0.9796691536903381,
0.30576589703559875,
0.1683669537305832,
-0.5916441679000854,
-1.1968653202056885,
-0.37243956327438354,
-0.08569005131721497,
0.076920010149478... |
You are given a statement written in Marathi. 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 .
One example is below.
Q: Statement: उत्तराखंड व झारखंड राज्यांमध्ये मुलांच्या आयांना या योजनेत समाविष्ट करून घेतले... | भारतभर | 9 | NIv2 | task950_wiki_cloze_mr_multiple_choice_question_answering | fs_opt | [
-0.11557815223932266,
0.5928174257278442,
-0.3046518564224243,
-0.8546377420425415,
-0.8601452112197876,
-0.6547424793243408,
0.28978681564331055,
1.0437273979187012,
-0.46721333265304565,
-0.43725472688674927,
-0.48645830154418945,
0.536848783493042,
-0.5631800889968872,
-0.03347311168909... |
Rewrite each original sentence in order to make it easier to understand by non-native speakers of English. You can do so by replacing complex words with simpler synonyms (i.e. paraphrasing), deleting unimportant information (i.e. compression), and/or splitting a long complex sentence into several simpler ones. The fina... | The Turin Royal Library is a World Heritage Site in Italy. | 4 | NIv2 | task111_asset_sentence_simplification | zs_opt | [
-0.5568844079971313,
0.9748357534408569,
0.6294431686401367,
-0.18612074851989746,
0.2572524845600128,
-0.10366227477788925,
1.1022028923034668,
0.1645134836435318,
-0.03754332661628723,
-0.5354514122009277,
-0.4041207730770111,
0.7245227098464966,
-0.8428096175193787,
0.851950466632843,
... |
Teacher:In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct a sentence that (a) captures the facts specified in the triples and (b) is a well-formed sentence easily understa... | With a LCCN number 32024459, Abhandlungen aus dem Mathematischen Seminar der Universität Hamburg abbreviated form is Abh.Math.Semin.Univ.Hambg. | 6 | NIv2 | task1409_dart_text_generation | zs_opt | [
-0.44607728719711304,
0.19961708784103394,
-0.6923186779022217,
-0.7993594408035278,
-0.5640746355056763,
0.08325134217739105,
0.5484269857406616,
-0.31551218032836914,
-0.17615669965744019,
-0.2552405595779419,
-0.930637538433075,
0.7167972326278687,
-0.3917705714702606,
0.084807910025119... |
Detailed Instructions: This task is in Spanish. Based on the given context, generate a question which can be answered by the given context. Generate a question that has more than 7 words. You can paraphrase the given context while forming the question.
Suggestion: The question may involve starting question words like ... | ¿Qué prohíbe el proyecto de ley? | 9 | NIv2 | task1335_sqac_question_generation | zs_opt | [
0.731805682182312,
0.3723820745944977,
-0.04266705736517906,
-0.628782331943512,
0.17427505552768707,
-0.31273967027664185,
0.23923325538635254,
0.8965131044387817,
-0.5323216915130615,
-0.07319481670856476,
0.3000834286212921,
0.9084154367446899,
-0.44857776165008545,
0.024928562343120575... |
Definition: Given a travel related situation, and given a specific question about the situation, summarize the question into a title
Input: I forgot to bring my padlock for this trip so my hostel in Taipei lent one to me until I buy one, which I keep forgetting to do.
The one they lent me is a generic "NO. 20" 4-barre... | Are cheap "programmable" combination padlocks known to change their own combinations? | 2 | NIv2 | task1639_doqa2.1_travel_text_summarization | zs_opt | [
0.4927005171775818,
0.7207635641098022,
-0.8884187340736389,
-0.4592060446739197,
-0.17212119698524475,
-0.5112065076828003,
1.4122871160507202,
0.796332836151123,
-0.28155139088630676,
-0.06375221163034439,
-0.33325904607772827,
0.3613942265510559,
-0.9935685396194458,
-0.0525734312832355... |
Given the task definition, example input & output, solve the new input case.
Given an entity as input, output another entity which is part of the input entity. These are entities of meronym. In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler term... | minute cyst | 1 | NIv2 | task471_haspart_answer_generation | fs_opt | [
-0.40326979756355286,
0.5014294385910034,
-0.09995636343955994,
0.24456006288528442,
-0.04978305846452713,
-0.042490147054195404,
-0.4115619361400604,
0.10091494023799896,
0.3259229063987732,
-0.4780646562576294,
-0.7024602293968201,
0.38836514949798584,
-0.09858392179012299,
0.11019779741... |
Part 1. Definition
You will be given two pieces of text with the same meaning. One of them is simpler and easier to understand for non-native English speakers. Complex texts may contain more difficult words, have unnecessary phrases or contain long sentences. Your task is to choose the simpler piece of text. You are ex... | Text two | 7 | NIv2 | task112_asset_simple_sentence_identification | fs_opt | [
-0.5113500356674194,
-0.06013549491763115,
-0.05665240436792374,
-0.37760162353515625,
0.22691398859024048,
-0.31352102756500244,
0.5305904746055603,
1.0186678171157837,
0.13356849551200867,
0.11854768544435501,
-0.5886617302894592,
0.005471307784318924,
-0.7347396612167358,
0.158789396286... |
In this task, you are given a sentence from the research paper and your task is to classify the given sentence into the following categories: Background (Why is this problem important? What relevant works have been created before? What is still missing in the previous works? What are the high-level research questions? ... | purpose | 0 | NIv2 | task1163_coda19_section_classification | zs_opt | [
-0.3388102948665619,
0.8228428363800049,
-0.19354423880577087,
-0.23124922811985016,
-0.07810481637716293,
0.2904864549636841,
0.5200475454330444,
0.8879919648170471,
0.45152172446250916,
-0.2170667201280594,
-1.3517144918441772,
0.2012806236743927,
-0.029039569199085236,
0.052321143448352... |
A text is given in Bengali. Translate it from the Bengali language to the Tamil language. The translation must not omit or add information to the original sentence.
এই উপলক্ষে এক সভায় প্রধানমন্ত্রী বলেন, এই মহান গীতার আবরণ উন্মোচন করা প্রকৃতই সৌভাগ্যের বিষয়।
இந்த விழாவில் பங்கேற்றோரிடையே உரையாற்றிய பிரதமர், பிரமாண்ட... | மரபுவழியிலான சிகிச்சைமுறைகளை மேற்கொள்வோருக்கு அது அவ்வப்போது ஒரு புத்துணர்ச்சியூட்டும் மாற்றமாகவே இருந்துவந்துள்ளது.
| 0 | NIv2 | task981_pib_translation_bengali_tamil | fs_opt | [
-0.2393626570701599,
0.05918747931718826,
-0.3726623058319092,
0.35805097222328186,
-0.35418862104415894,
-0.6132925748825073,
0.46414074301719666,
0.25837376713752747,
0.581783652305603,
-0.29240384697914124,
-0.7152770757675171,
0.9084490537643433,
-0.30831587314605713,
0.279211342334747... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
Istnieją relacje sum niezerowych, z obecności których ludzie pewnie nie zdają sobie sprawy. | וישנם יחסי אי-סכום אפס שאולי אנשים אינם מודעים להם. | 0 | NIv2 | task1260_ted_translation_pl_he | zs_opt | [
-0.3397318720817566,
0.7076741456985474,
0.0739997923374176,
-0.269672691822052,
-0.3784615695476532,
0.6555522084236145,
1.3747851848602295,
-0.3506205081939697,
0.47966429591178894,
-0.1713072657585144,
-0.586561918258667,
0.3430565595626831,
-0.8920468688011169,
-0.3032374083995819,
-... |
Given the task definition and input, reply with output. 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.
ແລະນີ້ກໍເປັນເທື່ອທຳອິດທີ່ ສະໂມສອນຂອງອັງກິດຈ່າຍຄ່າລາງວັນຊະນະເລີດໃຫ້ລາຍການຊາຍ ແລະ ຍິງດ່ຽວເທົ່າກັ... | もう一つ今大会初なのは、シングルス女子にも男子と同じ優勝賞金がAllEnglandClubから授与されることである。 | 5 | NIv2 | task1125_alt_lo_ja_translation | zs_opt | [
-0.6366406679153442,
0.4445962905883789,
-0.3253057599067688,
-0.23487333953380585,
0.030930157750844955,
0.03995810076594353,
0.5119670033454895,
0.05533941462635994,
0.38107892870903015,
-1.0201077461242676,
-0.371974915266037,
0.9159289598464966,
-0.9437962770462036,
0.39772236347198486... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen after that sentence. Is any of them directly caused by it, or is made possible by it? You should write your answer in the for... | Sally says yes >Causes/Enables> Fred kisses Sally | 1 | NIv2 | task748_glucose_reverse_cause_event_detection | zs_opt | [
-0.22872397303581238,
0.7142313718795776,
0.2885332703590393,
-0.27183181047439575,
0.13724689185619354,
-0.4886162281036377,
0.3578232526779175,
0.6983141303062439,
-0.1426001340150833,
-0.01603667065501213,
-0.5831500291824341,
-0.5093866586685181,
0.15212681889533997,
-0.347695648670196... |
In this task, you're given reviews from Amazon's products. Your task is to generate the Summary of the review.
[EX Q]: Product arrived with 3 of the 6 broken. And 2 of the same color not all different colors as shown. This was supposed to be a stocking stuffer gift for my son so I really disappointed that it arrived l... | Never received item. Amazon delivered to wrong place.
| 6 | NIv2 | task618_amazonreview_summary_text_generation | fs_opt | [
0.47029274702072144,
0.17159061133861542,
-0.21855896711349487,
-0.4381621181964874,
0.07934373617172241,
0.12897565960884094,
0.5811101198196411,
0.9858353734016418,
0.002522144466638565,
0.09263800829648972,
0.12840048968791962,
0.768514096736908,
-0.7012374401092529,
-0.1582202464342117... |
Given the task definition and input, reply with output. In this task, you are given Wikipedia articles on a range of topics as passages and a question from the passage. We ask you to answer the question by classifying the answer as 0 (False) or 1 (True)
Passage: Granny Smith -- The fruit is hard, with a light green sk... | 1 | 5 | NIv2 | task1661_super_glue_classification | zs_opt | [
-0.8156054615974426,
0.7953144311904907,
-0.07343293726444244,
-0.4581298828125,
-0.6228833198547363,
-0.4836082458496094,
0.5949712991714478,
0.5311242341995239,
0.22248029708862305,
0.018587490543723106,
-0.5112472772598267,
0.350919246673584,
-0.4720660448074341,
-0.2548218369483948,
... |
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 | 8 | NIv2 | task1216_atomic_classification_causes | fs_opt | [
0.4606332778930664,
0.17909075319766998,
0.409180223941803,
-0.4469664990901947,
-0.5440375804901123,
-0.6082789301872253,
1.012570858001709,
0.6526597142219543,
-0.5830215215682983,
-0.3777574896812439,
-0.5895572900772095,
-0.26899176836013794,
-0.7096043229103088,
0.374121755361557,
0... |
You are given a statement written in Marathi. 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 .
Example Input: Statement: मालीचे प्रजासत्ताक (République du Mali हा <MASK> खंडाच्या पश्चिम भागातील एक देश आहे. मा... | भारतासारख्या
| 3 | NIv2 | task950_wiki_cloze_mr_multiple_choice_question_answering | fs_opt | [
0.21270357072353363,
0.9423161745071411,
-0.3057668209075928,
0.098797507584095,
0.10445156693458557,
-0.12756334245204926,
0.34108179807662964,
1.0244629383087158,
-0.042292844504117966,
0.10744663327932358,
-0.5537962913513184,
0.36108213663101196,
-0.36332061886787415,
-0.51746594905853... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
Q: Me recuerda lo que dijo el arquitecto Mies van der Rohe, y parafraseo, cuando dijo que a veces uno debe mentir para decir la verdad.
A: | I'm reminded of what the architect Mies van der Rohe said, and I paraphrase, when he said that sometimes you have to lie in order to tell the truth. | 4 | NIv2 | task1226_ted_translation_es_en | zs_opt | [
-0.8123380541801453,
1.1050608158111572,
0.45067906379699707,
-0.7427458763122559,
-0.2688062787055969,
-0.734525203704834,
0.3842352032661438,
0.3463887870311737,
0.17322176694869995,
-0.4356185793876648,
0.010154467076063156,
0.4867054224014282,
-1.1202380657196045,
0.2016620635986328,
... |
You are given a review about a place. You need to provide a rating from "1 star" to "5 stars" for this place.
Q: I bought a great lamp shade for a vintage lamp here. Yes, it WAS an outlet store. Yes, I got a great deal, however they only had 1 shade. I special ordered the second shade in April. Today's date is July 3 a... | 2 stars | 4 | NIv2 | task1292_yelp_review_full_text_categorization | zs_opt | [
-0.438751220703125,
0.3184201717376709,
-0.7864092588424683,
-0.27796676754951477,
0.25564584136009216,
-0.5137343406677246,
-0.18356576561927795,
0.5275407433509827,
0.15375882387161255,
0.148084819316864,
0.4513210952281952,
-0.18502414226531982,
-0.6587284803390503,
0.5255893468856812,
... |
In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to return one of the emotions which are expressed by the Character in the given sentence. For ... | excited | 6 | NIv2 | task293_storycommonsense_emotion_text_generation | fs_opt | [
-0.8933789730072021,
0.23440562188625336,
0.3594265878200531,
-0.5291117429733276,
0.21018388867378235,
-0.08424365520477295,
0.8966427445411682,
0.774243950843811,
-0.27910614013671875,
-0.07339268922805786,
-0.20929685235023499,
-0.06142176315188408,
-0.5596145987510681,
0.14321796596050... |
Q: You are given a sentence in English. Your job is to translate the English sentence into Hebrew.
Form follows function?
A: | שימושיות גוררת צורה? | 7 | NIv2 | task1221_ted_translation_en_he | zs_opt | [
-0.433024525642395,
0.32212644815444946,
0.15210312604904175,
-0.3617627024650574,
-0.3120531737804413,
-0.7938411831855774,
0.4483463168144226,
-0.04332412779331207,
0.5889970660209656,
-0.20228657126426697,
0.38439399003982544,
0.03977411985397339,
-0.528075098991394,
0.5540737509727478,... |
Q: In this task, you need to answer the given multiple-choice question on the physics. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Problem: which greatest possible length can be used to measure exactly 10 meter 40 cm , 14 meter 10 cm and 7 meter 90 cm
Options: a ) 45 cm , b ) 25 cm , c ) 24 cm , d ) 15 cm ... | e | 7 | NIv2 | task1422_mathqa_physics | zs_opt | [
0.16511017084121704,
0.9004639983177185,
-0.5526472926139832,
-0.37423110008239746,
-0.31758493185043335,
-0.7494667768478394,
-0.10835050046443939,
0.21146777272224426,
-0.41222715377807617,
0.07302437722682953,
-0.336958646774292,
0.8951948881149292,
0.21617591381072998,
-0.0975314304232... |
Teacher: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, t... | N | 6 | NIv2 | task204_mnli_same_genre_classification | zs_opt | [
-1.0934369564056396,
0.28328418731689453,
0.11120107024908066,
-0.808793306350708,
-0.20500332117080688,
0.3546349108219147,
0.4650045931339264,
0.6386328935623169,
0.003030588151887059,
-0.28491097688674927,
-0.383938729763031,
-0.08238864690065384,
-0.7985085248947144,
-0.334553927183151... |
Definition: In this task you are given a sentence. You must judge whether the main verb of the sentence is in present or past tense. Label the instances as "Present" or "Past" based on your judgment. If there is no verb in the given text, answer "Present".
Input: He toured the tree-lined, quiet, shady streets of this h... | Past | 2 | NIv2 | task429_senteval_tense | zs_opt | [
-0.4737323522567749,
0.23052482306957245,
0.2850106954574585,
0.13171526789665222,
0.3188351094722748,
-0.014696234837174416,
0.8992011547088623,
0.8281936049461365,
0.3083123564720154,
0.28125107288360596,
-0.7849756479263306,
0.06574408710002899,
-0.48979222774505615,
0.07894504815340042... |
Instructions: 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').
Input: Most curable tumors require at least six to ____ cycle of therapy.\Question: Choose the right answer from options given a) no ... | b | 3 | NIv2 | task1360_numer_sense_multiple_choice_qa_generation | zs_opt | [
-0.27188941836357117,
0.36220645904541016,
-0.8405812978744507,
-0.24899211525917053,
-0.19459646940231323,
0.16017577052116394,
0.5177935361862183,
0.8510271310806274,
-0.4364205598831177,
-0.08367814868688583,
-0.03343571722507477,
-0.5672181844711304,
0.00005895458161830902,
0.554156303... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
Era como si me felicitaran por levantarme por la mañana y recordar mi propio nombre. (Risas) Y esto es cosificar.
Output: | הם פשוט סוג של שיבחו אותי על להיות מסוגלת לקום בבוקר ולזכור את השם שלי. (צחוק) וזה מחפיץ. | 1 | NIv2 | task1229_ted_translation_es_he | zs_opt | [
-0.15532831847667694,
0.7663446068763733,
0.20016764104366302,
-0.1936415731906891,
-0.5457364320755005,
0.2094939947128296,
1.2040876150131226,
0.5293892025947571,
0.7224037647247314,
-0.3763938248157501,
-0.7817986011505127,
-0.5009312033653259,
-0.6134542226791382,
0.0680079311132431,
... |
Detailed Instructions: You are given a paragraph, with numbered sentences, and a question. Write the numbers of the sentences needed to answer the given question. Separate multiple sentence numbers with a comma (", "). E.g. "1, 2" would be the correct response if Sent 1 and Sent 2 are needed to answer the given questio... | 3, 4. | 9 | NIv2 | task049_multirc_questions_needed_to_answer | zs_opt | [
-0.2194649577140808,
0.5844778418540955,
0.41412553191185,
0.10090039670467377,
0.3685828149318695,
0.0964992418885231,
0.398833692073822,
0.8021039962768555,
-0.25359222292900085,
0.6799120306968689,
-0.592485785484314,
-0.09000737965106964,
-0.5213152170181274,
0.035293251276016235,
-0... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Portugese.
Q: Marte: seco e árido.
A: | Marte — seco e árido. | 4 | NIv2 | task1246_ted_translation_gl_pt | zs_opt | [
-0.46223902702331543,
1.6055827140808105,
-0.036257654428482056,
-0.9796924591064453,
0.12515589594841003,
-1.7413506507873535,
-0.5399768352508545,
1.1306965351104736,
-0.46016454696655273,
0.11277782917022705,
0.19319023191928864,
-0.6081497669219971,
-0.4380642771720886,
-0.269688069820... |
Definition: In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to write a question that clarifies the given question in such a way that the generated question has one unique answer.
Input: Who has won the most men's world cups?
Output: | Who is the country that has won the most fifa men's world cups? | 2 | NIv2 | task670_ambigqa_question_generation | zs_opt | [
-0.4134199917316437,
0.3596373200416565,
-0.3029851019382477,
-0.17242977023124695,
-0.14724987745285034,
0.032191041857004166,
0.26447373628616333,
-0.28521567583084106,
0.2991539239883423,
-0.72206711769104,
-1.4613943099975586,
-0.29163914918899536,
-0.42710116505622864,
0.1187224611639... |
You will be given a definition of a task first, then some input of the task.
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 ... | Individual | 1 | NIv2 | task337_hateeval_classification_individual_en | zs_opt | [
-1.2856684923171997,
0.379393994808197,
0.9085597991943359,
0.5041450262069702,
-0.010775893926620483,
-1.0119569301605225,
0.0024350928142666817,
0.24810753762722015,
-0.05651182308793068,
0.48359060287475586,
-0.19780808687210083,
-0.3700687289237976,
-0.3582557141780853,
-0.998600661754... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by two, if the element is odd you should multiply by three then add one. The output should be a list of integers that is... | [580, 74, 62] | 1 | NIv2 | task206_collatz_conjecture | zs_opt | [
-0.46172842383384705,
0.45618271827697754,
-0.30989158153533936,
-0.21614763140678406,
-0.041415587067604065,
0.1929776966571808,
1.0535573959350586,
-0.05771400034427643,
0.13311898708343506,
0.25228366255760193,
-0.701748251914978,
-0.46951824426651,
-0.47478216886520386,
-0.347229838371... |
In this task, you are given a string S and a character c separated by a comma. You need to check if the character c is present in S or not. Return 1 if it is present, else return 0.
One example is below.
Q: IcLCZgiymDWVHOGsOMdoksiLJoj, h
A: 0
Rationale: h is not present in the string.
Q: zuyLVZKTxmTAVdFgYPQCSyP, Y
A: | 1 | 9 | NIv2 | task1189_check_char_in_string | fs_opt | [
-0.12325037270784378,
0.7733609676361084,
0.3586863875389099,
-0.5726702809333801,
0.31704381108283997,
-1.251700520515442,
0.8778800964355469,
0.47837501764297485,
0.07923465967178345,
-0.18255963921546936,
-0.2664482891559601,
-0.16518154740333557,
-0.26612016558647156,
-0.49347996711730... |
Given the task definition, example input & output, solve the new input case.
You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
Example: Alonzo feels angry.
Output: male
The gender of the person... | female | 1 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | fs_opt | [
-0.8260726928710938,
0.6130789518356323,
-0.12406763434410095,
-0.3246101438999176,
-0.05461519956588745,
-0.15897950530052185,
0.6456444263458252,
0.295470267534256,
0.43308448791503906,
-0.37689173221588135,
-0.5457202196121216,
-0.11272116750478745,
-0.589845597743988,
-0.38782781362533... |
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 around right thrice after walk | 3 | NIv2 | task131_scan_long_text_generation_action_command_long | fs_opt | [
0.285686194896698,
0.7947379350662231,
-0.5575497150421143,
0.043743010610342026,
-0.3111453652381897,
0.33281829953193665,
-0.012041863054037094,
0.6952530145645142,
-0.3465191125869751,
-0.28229081630706787,
-1.0329986810684204,
-0.2566695809364319,
-0.7525049448013306,
-0.03525318205356... |
Q: This task is in Spanish. Based on the given context, generate a question which can be answered by the given context. Generate a question that has more than 7 words. You can paraphrase the given context while forming the question.
Suggestion: The question may involve starting question words like WHERE, WHEN, HOW, WH... | ¿En qué formato empezó a escribir Crichton la historia de Parque Jurásico? | 7 | NIv2 | task1335_sqac_question_generation | zs_opt | [
0.3209958076477051,
0.1340966820716858,
0.003109977813437581,
0.2862345576286316,
-0.10562358796596527,
0.0651162788271904,
0.29588156938552856,
0.7704997062683105,
0.3244187533855438,
-0.5253105163574219,
0.20721830427646637,
0.016406338661909103,
-0.9839311242103577,
-0.10536928474903107... |
In this task you will be given a question and a passage. You need to determine if the answer to the question is contained in the passage. If the answer can be found in the passage you should output 'True'. If the answer cannot be found in the passage you should output 'False'.
One example is below.
Q: Passage: 'The siz... | False | 9 | NIv2 | task520_aquamuse_answer_given_in_passage | fs_opt | [
-0.006514820270240307,
0.09129434078931808,
0.030849555507302284,
-0.003606199286878109,
-0.1419316530227661,
0.16280589997768402,
0.46213459968566895,
0.9733615517616272,
0.08032868802547455,
-0.12196455895900726,
-0.8595449328422546,
-0.053128357976675034,
-0.5583364963531494,
0.23836103... |
Instructions: In this task, you are given music product reviews in Japanese language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Input: 初回以上の作品！！！ . 初回にはＤＶＤが付いていて映像が見れますが、通常盤にはボーナストラックの「天体アンブレラ」が付いています！この... | POS | 3 | NIv2 | task487_cls_japanese_music_classification | zs_opt | [
0.1668681800365448,
-0.2578807473182678,
-0.653441309928894,
0.08939075469970703,
0.28123724460601807,
-0.3658287525177002,
1.0538411140441895,
0.1655033826828003,
-0.3503473997116089,
0.05045447498559952,
-0.480270117521286,
-0.5577145218849182,
-0.733631432056427,
-0.28137773275375366,
... |
TASK DEFINITION: Turn the given fact into a question by a simple rearrangement of words. This typically involves replacing some part of the given fact with a WH word. For example, replacing the subject of the provided fact with the word "what" can form a valid question. Don't be creative! You just need to rearrange the... | what kind of circulatory system can some segmented animals have?
| 8 | NIv2 | task040_qasc_question_generation | fs_opt | [
0.4936055541038513,
0.5778756141662598,
-0.07842856645584106,
-0.38098403811454773,
-0.5219334363937378,
-0.4133528470993042,
1.117451786994934,
0.8321725726127625,
-0.1336817443370819,
-0.3123515248298645,
-1.067636489868164,
-0.2065030038356781,
-0.41963207721710205,
0.02509220689535141,... |
In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by 4, if the element is odd you should multiply by 4 then add 2. The output should be a list of numbers that is the result of applying that logic to the input list. You should not round any decimal... | [262, 7.0, -22.5, -306, -1.5] | 4 | NIv2 | task368_synthetic_even_or_odd_calculation | zs_opt | [
-0.6558359861373901,
0.9754139184951782,
-0.04052607715129852,
-0.6294829845428467,
0.13360634446144104,
0.043790046125650406,
1.2648062705993652,
-0.19702142477035522,
-0.10419885069131851,
0.38512474298477173,
-0.264817476272583,
-0.2171088606119156,
-0.5797979235649109,
-0.1627089977264... |
Definition: You are given a statement written in Marathi. 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 .
Input: Statement: लोकशाहीर वामन कर्डक यांनी डॉ. बाबासाहेब आंबेडकर यांचे विचार आपल्या ओजस्वी वाणीतून आण... | बुद्ध | 2 | NIv2 | task950_wiki_cloze_mr_multiple_choice_question_answering | zs_opt | [
0.7833279371261597,
0.4174079895019531,
-0.2847118377685547,
-0.7686432003974915,
-0.10898053646087646,
-1.074897050857544,
1.176035761833191,
0.2973533868789673,
0.20873650908470154,
-0.2798665463924408,
-0.7445821762084961,
-0.2179044485092163,
-0.042683254927396774,
-0.560112714767456,
... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a review from Amazon and category of the product based on the review given by the user and your task is classify whether the given category match the review. Generate "True" if given review and its category match, ot... | True | 1 | NIv2 | task1308_amazonreview_category_classification | fs_opt | [
-0.5623750686645508,
0.14509937167167664,
-0.4255010187625885,
0.6126341819763184,
0.41950172185897827,
0.12958815693855286,
0.5279145836830139,
1.044699788093567,
0.04254673421382904,
0.21091562509536743,
0.10033632069826126,
0.04219022020697594,
-0.035966310650110245,
0.2395956814289093,... |
Given the task definition and input, reply with output. 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" e... | True | 5 | NIv2 | task384_socialiqa_question_classification | zs_opt | [
-0.6763659715652466,
0.5145483016967773,
0.37423408031463623,
-0.082890585064888,
-0.4694417119026184,
-0.19484612345695496,
0.7316181659698486,
0.09841760993003845,
0.6370350122451782,
-0.22777320444583893,
-0.7651335000991821,
0.5727965831756592,
-0.30580198764801025,
0.2841755747795105,... |
In this task, you are given a sentence from the Bible in Persian, and your task is to translate it into English.
Ex Input:
پس پدر ایشان، اسرائیل، بدیشان گفت: «اگر چنین است، پس این را بکنید. از ثمرات نیکوی این زمین در ظروف خود بردارید، وارمغانی برای آن مرد ببرید، قدری بلسان و قدری عسل و کتیرا و لادن و پسته و بادام.
Ex... | But with him that standeth here with us this day before the LORD our God, and also with him that is not here with us this day:
| 1 | NIv2 | task654_bible_fa_en_translation | fs_opt | [
-0.2061537355184555,
0.397619366645813,
-0.14886263012886047,
-0.41770774126052856,
-0.9217468500137329,
-0.22106623649597168,
1.115647315979004,
1.0712835788726807,
0.490728497505188,
0.2674978971481323,
-0.5552929639816284,
1.2940356731414795,
-0.9468024969100952,
-0.12884895503520966,
... |
Definition: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is.
Input: And yet , no man should be blamed for putting friendship above other considerations .
Output: | परंतु फिर भी , किसी भी व्यक़्ति को मित्रता को अन्य बातों से ऊपर मानने के लिए दोषी नहीं ठहराया जाना चाहिए । | 2 | NIv2 | task425_hindienglish_corpora_en_hi_translation | zs_opt | [
0.28148066997528076,
0.6221851706504822,
0.22375673055648804,
-0.3803100287914276,
-0.28717440366744995,
-0.4242343008518219,
0.8378467559814453,
0.19938483834266663,
0.03375770524144173,
-0.5065709352493286,
-0.6828719973564148,
0.362189382314682,
-1.1018515825271606,
0.4264543056488037,
... |
You are given a list of queries separated by new line. Your job is to answer with the query that is the most well-formed or well-structured query in terms of grammar, punctuations, or spelling errors.
[Q]: Where are seeds developed inside of a sunflowers ?
In what year was the toaster invented in ?
Name the stages of ... | What is the smallest tree in japan ?
| 5 | NIv2 | task675_google_wellformed_query_sentence_generation | fs_opt | [
-0.24145221710205078,
0.6110457181930542,
-0.1611711084842682,
-0.369750052690506,
0.1519259661436081,
0.2944679856300354,
-0.341030091047287,
0.1934318095445633,
-0.061685118824243546,
0.06388682872056961,
-0.10896657407283783,
0.38664594292640686,
-0.429345965385437,
0.14484146237373352,... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Japanese.
Example: Es una lucha interna, una lucha en contra del vicio, el pecado, la tentación, el deseo, la avaricia.
Example solution: それは個人の内面で起こる闘い悪 ､ 罪 ､ 誘惑 ､ 欲望 ､ 貪欲に対する苦闘ですそれは個人の内面で起こる闘い悪 ､ 罪 ､ 誘惑 ､ 欲望 ､ 貪欲に対する苦闘です
Example e... | Solution: その場限りの訪問者でなく住人になって自分の場所だと感じて欲しいのです」私たちがやっていることは人々が実際にギャラリー内の作品にかかわれるよう様々な方法を提供します昔ながらのギャラリーもありますがもし興味があれば １つの芸術品に的を絞ってどのような所で使われたかその背景を見たり作品で遊んだりできます | 5 | NIv2 | task1227_ted_translation_es_ja | fs_opt | [
-0.6670454740524292,
-0.17387345433235168,
-0.3155542016029358,
0.01500345952808857,
-0.19676104187965393,
0.017194591462612152,
0.07329443097114563,
0.4343889653682709,
-0.2988199293613434,
-0.4758584201335907,
-0.21184611320495605,
0.07217513024806976,
-0.8163499236106873,
-0.04445305466... |
In this task, you are given reviews written about the books in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
One example: অসাধারণ একটি বই, লজিকাল স্কিল ডেভেলপমেন্ট এর জন্যে অতুলনীয়..
Solution is here: positive
Explanation: Here the reviewer seems to love the... | negative | 6 | NIv2 | task1497_bengali_book_reviews_sentiment_classification | fs_opt | [
-1.2989027500152588,
-0.1360800564289093,
0.7618001699447632,
-0.31476566195487976,
0.6622684001922607,
-0.014726690948009491,
0.6191019415855408,
0.23471517860889435,
0.6053062081336975,
-0.15044665336608887,
-0.9408503770828247,
-0.036349959671497345,
-0.43416428565979004,
-0.12941479682... |
Instructions: In this task, a passage will be given and the goal is to identify an event from the passage. An event is defined as a single word representing something that happened, is happening, or may happen. An event can be factual or hypothetical, positive or negative, certain or uncertain. While most events are ba... | continue | 3 | NIv2 | task388_torque_token_classification | zs_opt | [
0.2664082646369934,
0.912287712097168,
0.20330794155597687,
0.12912696599960327,
-0.16289252042770386,
0.1270582675933838,
-0.02842221036553383,
1.5047744512557983,
0.21129697561264038,
0.15602296590805054,
-0.47684264183044434,
0.14199058711528778,
-0.9809012413024902,
0.15722323954105377... |
Part 1. Definition
In this task, you are given a sentence in English, and your task is to translate it into Persian.
Part 2. Example
Egypt (similar results in Jordan)
Answer: مصر (با نتایجی مشابه در اردن)
Explanation: This is a good example. The above sentence is correctly translated from English to Persian.
Part 3. Ex... | بخیزد و هشدار جدی بدهد | 7 | NIv2 | task663_global_voices_en_fa_translation | fs_opt | [
-0.5065600872039795,
0.926733136177063,
0.13418863713741302,
-0.8783155083656311,
-0.30873262882232666,
-0.20125281810760498,
1.4448916912078857,
0.6359697580337524,
0.13502490520477295,
0.04191165417432785,
-0.8894206285476685,
0.5630404949188232,
-0.9257686734199524,
-0.12842120230197906... |
Definition: In this task, you will be presented with a text, a pronoun from the text, and two candidate names. You should determine what the pronoun refers to and classify the answers into A, B, or Neither. A and B here are referring to option A and option B. Position of the pronoun in the text is showed within two "_"... | A | 2 | NIv2 | task329_gap_classification | zs_opt | [
-0.07992982864379883,
-0.12021245807409286,
0.2774273455142975,
0.3841386139392853,
0.17565248906612396,
0.3139401078224182,
0.6028884053230286,
0.7409424185752869,
0.6695548892021179,
0.1551748812198639,
-0.24599063396453857,
-0.2799968719482422,
-0.4018484354019165,
-0.4998413324356079,
... |
Detailed Instructions: In this task, you're given a dialogue between a customer and a flight booking agent with a gap in the conversation. Your job is to find the answer of the previous dialogue. Avoid using irrelevant extra information while creating the answer. The answer should be relevant to the question before the... | customer: Sure, I need to travel on dates of 03/27 and 03/29. | 8 | NIv2 | task574_air_dialogue_sentence_generation | zs_opt | [
-0.3036808371543884,
0.5071449279785156,
-0.7742316722869873,
-0.5945081114768982,
0.581156313419342,
-0.5641037225723267,
0.8310227394104004,
-0.3987353444099426,
-0.15665432810783386,
-0.08201546967029572,
0.29827645421028137,
-0.4364265501499176,
-0.49143850803375244,
0.2943167388439178... |
Detailed Instructions: 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, slat... | Y | 8 | NIv2 | task204_mnli_same_genre_classification | zs_opt | [
-1.2972114086151123,
0.4802277386188507,
0.22345776855945587,
-0.5314564108848572,
0.052092794328927994,
0.49681949615478516,
0.23674654960632324,
0.42965012788772583,
0.19000595808029175,
-0.004944155924022198,
-0.5795795917510986,
0.15670344233512878,
-0.39953720569610596,
-0.35815227031... |
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Farsi.
Q: עלינו להגיע לרמה חדשה של מודעות, רמה מוסרית גבוהה יותר.
A: | باید به سطح جدیدی از اخلاقیات دست یابیم ، یک زمینه اخلاقی والاتر. | 9 | NIv2 | task1113_ted_translation_he_fa | zs_opt | [
-0.051069505512714386,
0.37865200638771057,
0.6616480350494385,
-0.6877633929252625,
-1.0492596626281738,
-0.20661981403827667,
0.4309900999069214,
-0.018685560673475266,
0.6979963183403015,
-0.3819621205329895,
-0.8236331939697266,
0.35779598355293274,
-0.6940361261367798,
0.5043733716011... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given the following Catalan sentence, indicate the name entities (i.e., the real-world objects such as a person, location, organization, etc. that can be denoted with a proper name) such as 'New York... | El (O) Funicular (B-MISC) de (I-MISC) la (I-MISC) Santa (I-MISC) Cova (I-MISC) ha (O) estat (O) durant (O) un (O) any (O) sense (O) funcionar (O) arran (O) dels (O) treballs (O) de (O) reparació (O) iniciats (O) després (O) dels (O) aiguats (O) de (O) l' (O) any (O) passat (O) . (O) | 0 | NIv2 | task960_ancora-ca-ner_named_entity_recognition | fs_opt | [
-0.07420897483825684,
0.5789094567298889,
-0.04050643369555473,
0.48649826645851135,
0.2733158469200134,
-0.49691373109817505,
0.7538502216339111,
0.8096813559532166,
0.043432869017124176,
-0.14410129189491272,
-0.7563552856445312,
0.34654587507247925,
-0.3234580159187317,
0.01949937269091... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi.
Example Input: Ed è come un microcosmo del mondo globalizzato.
Example Output: در مقابل دنیایی گلوبالیزه ، شباهت به یک عالم صغیر دارد.
Example Input: (Risate) Che confusione! Avete mai provato a cablare un sistema complesso... | در حقیقت ، من یک قوطی آب پرتقال خریدم و ریختم توی لیوان تا بتونم این عکس رو بگیرم. (خنده حضار)
| 3 | NIv2 | task1254_ted_translation_it_fa | fs_opt | [
-0.5430489778518677,
1.4568349123001099,
0.1341107189655304,
-0.168784961104393,
-0.40518730878829956,
-0.12055987864732742,
0.38367605209350586,
0.5673689842224121,
-0.23510116338729858,
0.12877772748470306,
-1.041139841079712,
0.16184988617897034,
-0.32727500796318054,
0.5616922378540039... |
Detailed Instructions: Given a sentence in French, generate a new French 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 reasonabl... | Vous êtes susceptible de trouver un don dans une publication. | 8 | NIv2 | task406_mickey_fr_sentence_perturbation_generation | zs_opt | [
-0.2337581217288971,
0.8413187265396118,
-0.49244704842567444,
-0.2579497694969177,
-0.002030310221016407,
-0.06080640107393265,
0.8583427667617798,
0.7418844699859619,
0.3329870104789734,
-0.5584932565689087,
-1.0439687967300415,
0.42140427231788635,
-0.4744332730770111,
-0.14084103703498... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English.
Q: منذ 75 سنة مضت عندما كان جدي شابا دخل إلى خيمة السينما التي كانت سابقا دار سينما كهذه ووقع بلا أمل في غرام المرأة التي رآها على الشاشة الفضية: لاشي سوى ماي ويست الغربية معشوقة العالم في الثلاثينات ولم يستطع نسيانها أبدا
A:... | About 75 years ago, my grandfather, a young man, walked into a tent that was converted into a movie theater like that, and he fell hopelessly in love with the woman he saw on the silver screen: none other than Mae West, the heartthrob of the '30s, and he could never forget her. | 4 | NIv2 | task1230_ted_translation_ar_en | zs_opt | [
-0.06762035191059113,
0.041126057505607605,
-0.7692533731460571,
-0.30455541610717773,
-0.6486764550209045,
-0.1280270218849182,
0.2771155536174774,
0.7581678628921509,
0.6519755125045776,
-0.1840057075023651,
-0.0639982670545578,
-0.29124200344085693,
-0.6136679649353027,
0.18463498353958... |
In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Among the entities, try to find the best entity that is most likely to fill in "_" and classify the answers based on options.
[EX Q]: Washington (CNN) A stunning report ... | (G)
| 6 | NIv2 | task302_record_classification | fs_opt | [
0.46596184372901917,
-0.18634894490242004,
-0.6016460061073303,
0.011394204571843147,
0.8601943850517273,
-0.05059148371219635,
0.7748215198516846,
0.9104093313217163,
-0.4489234685897827,
0.2956487834453583,
0.49595704674720764,
0.6972364783287048,
-0.38448774814605713,
0.2009094804525375... |
TASK DEFINITION: In this task, you are given an input text which is in one of the 11 languages listed as follows: ['Oriya' 'Malayalam' 'Bengali' 'Gujarati' 'Hindi' 'English' 'Marathi'
'Panjabi' 'Tamil' 'Telugu' 'Urdu']. Identify the language of input text. The input text can be in one of the given languages only. Inpu... | Telugu
| 8 | NIv2 | task976_pib_indian_language_identification | fs_opt | [
-0.28865331411361694,
0.342488169670105,
-0.1016588807106018,
-0.6720476150512695,
0.15943008661270142,
-0.13039572536945343,
0.7219444513320923,
0.22979053854942322,
-0.24698178470134735,
-0.01178796961903572,
-0.6934367418289185,
-0.2730649411678314,
0.03207472711801529,
-0.5192477107048... |
Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical condition, 11) military branch, 12) narrative location, 13) occupation, 14) ori... | residence
| 1 | NIv2 | task1328_qa_zre_relation_generation_from_question | fs_opt | [
-0.22433233261108398,
0.5685693025588989,
-0.40490585565567017,
-0.3448370099067688,
0.33783257007598877,
0.9979211091995239,
0.17849059402942657,
0.21785977482795715,
-0.02067035809159279,
0.6339113116264343,
0.7584853172302246,
-0.014092001132667065,
-0.7873818874359131,
0.20831292867660... |
In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
[Q]: "That was confirmed by research in New Zealand which supported the e... | しかし後退したチャンピオンは、レース終盤近くには２番目のタイムでフィシコのすぐ後ろにいた。
| 5 | NIv2 | task435_alt_en_ja_translation | fs_opt | [
-0.6601531505584717,
0.5091034770011902,
0.5192912220954895,
-0.812645673751831,
-0.0420568510890007,
-0.6139174103736877,
0.9569562673568726,
0.17631122469902039,
-0.14684154093265533,
-0.5896568894386292,
-0.4184229075908661,
0.5434846878051758,
-0.9421120882034302,
0.17108657956123352,
... |
In this task, you are given a sentence and a question, you would be asked to create the answer which is contained in the sentence provided.
Let me give you an example: Sentence: Having white fur trait would a cat most likely inherit from its parents. Question: Which trait would a cat most likely inherit from its paren... | growth stops | 8 | NIv2 | task1555_scitail_answer_generation | fs_opt | [
-0.5160168409347534,
0.8337098360061646,
-0.21850663423538208,
-0.32519441843032837,
-0.6160035133361816,
-0.5594093799591064,
-0.7552499771118164,
1.5902873277664185,
0.14870309829711914,
0.08406776189804077,
-0.37948325276374817,
0.7614845037460327,
-1.1842913627624512,
-0.04230108857154... |
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 mentioned i... | When did the "Germanic Heroic Age" end?
| 3 | NIv2 | task348_squad2.0_unanswerable_question_generation | fs_opt | [
1.0544984340667725,
1.0775312185287476,
-0.36027857661247253,
-0.5613960027694702,
0.02859746851027012,
-0.8637884855270386,
0.9907823801040649,
1.0250155925750732,
0.05358106270432472,
0.2677765488624573,
-0.23299390077590942,
0.4606531262397766,
-1.3692784309387207,
0.6550052762031555,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long.
The answers need to be context specific and can not be general knowledge or... | cordial, al menos aparentemente | 0 | NIv2 | task1334_sqac_answer_generation | fs_opt | [
0.20944926142692566,
-0.3548779785633087,
0.2958707809448242,
0.15058717131614685,
0.22233697772026062,
-0.2582724988460541,
0.5403772592544556,
0.7615739107131958,
0.06287723034620285,
-0.15308716893196106,
-0.297919362783432,
-0.02425951324403286,
-0.8646363615989685,
-0.0632490515708923... |
Given the task definition and input, reply with output. Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individua... | I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT | 5 | NIv2 | task126_scan_structured_text_generation_command_action_all | zs_opt | [
0.09133888781070709,
0.8156555891036987,
-0.3875732421875,
0.3122410774230957,
0.11460530757904053,
-0.05731947720050812,
0.03161186724901199,
0.2116052508354187,
-0.2666967213153839,
-0.24795439839363098,
-0.7033071517944336,
-0.3191428780555725,
-0.5124714374542236,
-0.19567392766475677,... |
In this task, you will be presented with a context passage, a question about that paragraph, and a possible answer to that question. The task is to check the validity of the answer. Answer with "Yes" or "No".
Ex Input:
A handful of Bronze Age relics has fostered an assumption that prehistoric settlers inhabited Ibiza ... | Yes
| 1 | NIv2 | task1392_superglue_multirc_answer_verification | fs_opt | [
0.6502642631530762,
0.3335022032260895,
-0.6336542367935181,
-0.17428824305534363,
0.6435181498527527,
-0.4643554985523224,
0.9658989906311035,
1.0771141052246094,
-0.12282010167837143,
0.729190468788147,
0.2923083007335663,
0.6029262542724609,
-0.8017624616622925,
0.42836856842041016,
-... |
Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical condition, 11) military branch, 12) narrative location, 13) occupation, 14) ori... | collection
| 0 | NIv2 | task1328_qa_zre_relation_generation_from_question | fs_opt | [
-0.06183069944381714,
0.4296336770057678,
-0.6146051287651062,
-0.6724333763122559,
0.2051076740026474,
-0.5888563990592957,
-0.430084228515625,
0.6130722761154175,
-0.2346651554107666,
0.5106927156448364,
-0.05030177906155586,
0.5105472207069397,
-0.44522222876548767,
-0.5533367395401001,... |
instruction:
You are given a paragraph, with numbered sentences, and a question. Write the numbers of the sentences needed to answer the given question. Separate multiple sentence numbers with a comma (", "). E.g. "1, 2" would be the correct response if Sent 1 and Sent 2 are needed to answer the given question (do not ... | 3, 4, 5.
| 9 | NIv2 | task049_multirc_questions_needed_to_answer | fs_opt | [
0.42917272448539734,
0.37844476103782654,
-0.9151830673217773,
-0.21433761715888977,
0.33539289236068726,
-0.3259259760379791,
0.5280717611312866,
0.7014567852020264,
-0.06244982033967972,
-0.1152208149433136,
-0.7710562348365784,
0.11390188336372375,
-0.8814970254898071,
0.028473651036620... |
Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.
Example input: Relationship: 'knock', Argument/Subject 1: 'someone', Argument/Subject 2: 'it'
Example output: The mailbox was bent and broken and looked like someone had knocke... | Printing to a printer on a Mac running 10.4 from a Windows Vista Business Edition PC - coming soon ... | 3 | NIv2 | task677_ollie_sentence_answer_generation | fs_opt | [
-0.09346675872802734,
0.7173386812210083,
-0.12948960065841675,
0.354920893907547,
0.09401258826255798,
-0.3633636236190796,
-0.06329473108053207,
0.7322889566421509,
0.10443758219480515,
-0.4371594488620758,
-0.4057198464870453,
-0.0326380729675293,
-0.7950330972671509,
-0.134979471564292... |
This task is to translate a news commentary statement given in German language into Spanish language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Input: Consider Input: Durch Anpassung werden die ... | Output: En los próximos años se verá si nuestro sueño compartido de liberar el mundo de las armas nucleares se hará realidad alguna vez.
| 2 | NIv2 | task1373_newscomm_translation | fs_opt | [
-0.543120265007019,
0.8258063793182373,
-0.448316752910614,
0.14765633642673492,
-0.30249959230422974,
-0.2637307047843933,
0.4773186445236206,
0.7656644582748413,
0.8730707168579102,
-0.09773992002010345,
-0.5048214197158813,
0.13648660480976105,
-0.8817138671875,
-0.1381348967552185,
0... |
In this task, you have to identify the named entities (NER) which are the ingredients required given its directions. Named entities are the names of the items without their quantity.
--------
Question: Arrange broccoli in greased 12 x 7 x 2-inch baking dish. Layer chicken., Combine next three ingredients and pour over ... | cauliflower, white onion, lemon thyme, milk, Kosher salt, Extra-virgin olive oil, Brussels, fresh chives, pepper, apple, olive oil
| 7 | NIv2 | task571_recipe_nlg_ner_generation | fs_opt | [
0.40163102746009827,
0.345386266708374,
-0.7858723402023315,
0.9362593293190002,
-0.4215928614139557,
0.0356513187289238,
1.0176832675933838,
0.6533355712890625,
-0.021031398326158524,
-0.21885576844215393,
0.14877638220787048,
0.4248809814453125,
-0.07569414377212524,
0.3615141808986664,
... |
In this task, you are given a sentence or phrase in Xhosa. You must translate it to English in a way that is equivalent in terms of meaning and grammatically correct.
Q: Inani lemifumba lalisohlulwa ngenani leenqanawa ezisenxwemeni kwaye yena umaphuli mthetho wayerhuqelwa kwinqanawa nganye ukunzela ukuba abantu abakuyo... | The number of lashes was divided by the number of ships in port and the offender was rowed between ships for each ships company to witness the punishment. | 4 | NIv2 | task873_opus_xhosanavy_translation_xhosa_eng | zs_opt | [
0.2791513204574585,
0.6938572525978088,
0.19284304976463318,
-0.5120676755905151,
-0.05789030343294144,
-0.5821158289909363,
0.33267778158187866,
0.502640962600708,
-0.09043636918067932,
-0.43423140048980713,
-0.6821596622467041,
0.15189318358898163,
-0.39486339688301086,
0.506518244743347... |
Teacher: 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.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Sentence: 'the street light is green in the city'. How many words end with the letter ... | 1 | 2 | NIv2 | task163_count_words_ending_with_letter | fs_opt | [
-0.12677256762981415,
0.3930024206638336,
-0.19722507894039154,
-0.6276352405548096,
0.23956027626991272,
-0.7665731906890869,
-0.2187463641166687,
0.595757007598877,
-0.11812672764062881,
-0.25866052508354187,
-0.2951825261116028,
0.05963778495788574,
-0.28881335258483887,
-0.363685071468... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.
Problem:NASAのビル・ウォルバートンが 70年代に計測しています
Solution: | Bill Vorveten * de la NASA lo investigó inteligentemente en la década de los 70. | 8 | NIv2 | task1223_ted_translation_ja_es | zs_opt | [
-0.1852259635925293,
0.8066574335098267,
-0.25154468417167664,
-0.3614082932472229,
0.15649527311325073,
-0.5727400183677673,
0.6411372423171997,
0.23250839114189148,
0.5744550228118896,
-0.32365599274635315,
0.4497971534729004,
0.23083175718784332,
0.19789443910121918,
0.19240808486938477... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: Problem:... | a | 6 | NIv2 | task1678_mathqa_answer_selection | zs_opt | [
0.809451699256897,
0.1593327671289444,
-0.2334994524717331,
-0.7433440685272217,
-0.14988493919372559,
-0.3388773202896118,
0.33590972423553467,
0.7854551076889038,
0.2539045214653015,
0.3678392469882965,
0.025951482355594635,
0.12079720199108124,
-0.11621800065040588,
-0.36976736783981323... |
In this task you will be given an arithmetic operation and you have to find its answer. The operators '+' and '-' have been replaced with new symbols. Specifically, '+' has been replaced with the symbol '@' and '-' with the symbol '#'. You need to perform the operations in the given equation return the answer
2661 # 5... | 20328 | 0 | NIv2 | task087_new_operator_addsub_arithmetic | zs_opt | [
-0.05508757382631302,
0.5889225006103516,
-0.973987340927124,
0.27857401967048645,
-0.4951799511909485,
-0.673162043094635,
0.5935530662536621,
1.3708449602127075,
0.6513796448707581,
0.15318931639194489,
-0.5291515588760376,
-0.5106126666069031,
0.13342970609664917,
-0.0197780542075634,
... |
In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lists.
One example is belo... | [47, 81, 58, 90] | 9 | NIv2 | task207_max_element_lists | fs_opt | [
0.21502971649169922,
0.23776069283485413,
-0.7128007411956787,
0.21641623973846436,
0.1502099335193634,
-0.25845956802368164,
0.6398688554763794,
0.7983841896057129,
-0.09799061715602875,
-0.03017597645521164,
-0.37169313430786133,
0.44726163148880005,
-0.01673671044409275,
-0.109282389283... |
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