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 will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Polish.
Os "" media "" interligavam-se connosco.
Solution: Media łączyły się z nami.
Why? The Portugese ... | Musimy zacząć działać, tak jak Lula, prezydent Brazylii. | 0 | NIv2 | task1281_ted_translation_pt_pl | fs_opt | [
-0.45375365018844604,
1.0576043128967285,
0.17948685586452484,
-0.3320122957229614,
-0.41479727625846863,
0.5216456651687622,
0.6708303689956665,
0.13734322786331177,
0.264834463596344,
-0.47199493646621704,
-0.1918932944536209,
0.5916846990585327,
-0.6577868461608887,
0.1686505824327469,
... |
In this task, you will be shown a passage. You need to write a fill-in-the-gap question based on your understanding of the events that might be inferred from the passage. Your question should be answerable based on the passage and only have one correct answer. Show the gap in your question with a _ .
Example Input: (C... | Henry said on _: 'We want to see that more and more and I know that he has that in his locker.
| 3 | NIv2 | task301_record_question_generation | fs_opt | [
0.9113528728485107,
0.5319346189498901,
-0.8783193230628967,
0.16969144344329834,
0.6442042589187622,
-0.51470947265625,
0.8899199366569519,
0.5062276124954224,
-0.09097988903522491,
0.22308461368083954,
0.027468537911772728,
0.9331842660903931,
0.04160985350608826,
0.44799917936325073,
... |
instruction:
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 o... | Organization.
| 9 | NIv2 | task046_miscellaneous_question_typing | fs_opt | [
0.717995285987854,
-0.004179207142442465,
-0.24946165084838867,
0.11227039992809296,
-0.242552250623703,
-0.9653857946395874,
0.9421360492706299,
0.919037938117981,
-0.6403021812438965,
-0.28752338886260986,
-0.5645724534988403,
0.3532504737377167,
-0.22543394565582275,
0.01992054656147957... |
In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language.
Serverele pot rula sistemul de operare Solaris x86 sau sistemul de operare Linux standard.
The servers can run Solaris x86 operating system or the standard Linux operating system.
... | The men are playing cricket.
| 0 | NIv2 | task1435_ro_sts_parallel_language_translation_ro_to_en | fs_opt | [
-0.8852888345718384,
0.2859209477901459,
-0.5698556900024414,
-0.34758126735687256,
-0.6211783289909363,
-0.5076508522033691,
0.07571001350879669,
0.48644909262657166,
1.1565649509429932,
-0.3120054304599762,
0.40918436646461487,
0.5045387744903564,
-0.050160691142082214,
-0.23831957578659... |
Given the task definition and input, reply with output. You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
החזון הוא לנסות להביא לכך שמיליארד אנשים ירכיבו את המשקפיים שהם זקוקים להם עד שנת 2020.
| そのビジョンとは2020年までに10億人の人がそれぞれ必要とする眼鏡をかけられるようにすることです。 | 5 | NIv2 | task1235_ted_translation_he_ja | zs_opt | [
-0.6134145259857178,
0.7122802138328552,
0.6865756511688232,
-0.299675852060318,
-0.02139309048652649,
0.5721898078918457,
0.14546972513198853,
-0.3756500482559204,
0.562536895275116,
-0.7321141362190247,
-0.4494870901107788,
0.4863407611846924,
-0.14781981706619263,
0.15392813086509705,
... |
You will be given a context and a verb separated with a newline character, and you have to answer if the given verb is a negation or not. A verb is a negation if it is not going to exist, not happen, or has no effect. The output should be "Yes" if the verb is a negation and "No" otherwise.
Input: Consider Input: But T... | Output: No
| 2 | NIv2 | task458_matres_negation_classification | fs_opt | [
-0.16187867522239685,
0.5003462433815002,
-0.22509928047657013,
0.6312363743782043,
-0.412656307220459,
-0.9572452306747437,
1.175965666770935,
1.0857733488082886,
0.21356001496315002,
-0.05127982050180435,
-0.612971305847168,
0.12303663790225983,
-0.6004461050033569,
0.36876699328422546,
... |
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 produce the t... | Output: Air pollution also harms plants and animals.
| 2 | NIv2 | task037_qasc_generate_related_fact | fs_opt | [
-0.313923716545105,
0.4584953784942627,
-0.5825173854827881,
0.5977206826210022,
-0.6048716306686401,
-0.9411270618438721,
-0.3227959871292114,
1.370609164237976,
-0.5217015743255615,
0.032211437821388245,
-1.0199847221374512,
0.9232972860336304,
-0.4690912067890167,
0.2304624766111374,
... |
In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story to not connect with the rest of the story. Ensure that the generated sentence is contextually relevant to the story.
Example input: Title: Marcus Buys Khakis. Sentence 1: Marc... | The man fell backwards with the ax. | 3 | NIv2 | task215_rocstories_incorrect_answer_generation | fs_opt | [
-0.005400029011070728,
0.585930585861206,
0.3217831552028656,
-0.0727275013923645,
0.10749440640211105,
0.24613523483276367,
0.3139725923538208,
0.478853702545166,
0.44534340500831604,
0.06457915157079697,
-0.8656165599822998,
0.08902588486671448,
-0.578021228313446,
0.3413906395435333,
... |
You are given a sentence in English. Your job is to translate the English sentence into Japanese.
Example: And it was primarily because Kiribati realized that this was in their own self-interest to do this.
Example solution: 第一にキリバス共和国が彼ら自身の利益になると理解したからです
Example explanation: The English sentence is correctly translate... | Solution: 文書化や決まり事ではない | 5 | NIv2 | task1218_ted_translation_en_ja | fs_opt | [
0.8729342818260193,
0.4118949770927429,
-0.08787622302770615,
-0.30589038133621216,
-0.1626775860786438,
-1.0746533870697021,
0.9244824647903442,
-0.6239745616912842,
0.18982139229774475,
-0.4614444375038147,
-0.18659238517284393,
-0.11410596966743469,
-0.4885748028755188,
0.44219410419464... |
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.
[[-4, -117, -177, ... | [89, -102, 24, 69, 97, -93]
| 0 | NIv2 | task207_max_element_lists | fs_opt | [
0.010120885446667671,
-0.10766609013080597,
-0.6571382284164429,
-0.13809548318386078,
-0.019869428128004074,
0.11203023046255112,
0.8456282615661621,
0.6175075769424438,
-0.40087008476257324,
0.34861689805984497,
-0.6080794930458069,
0.11360388994216919,
-0.27810749411582947,
0.0236875787... |
In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
Context: Adipose tissue of obese subjects is known to exhibit increased inflammatory activity linked to altered expression of factors involved in g... | Bariatric surgery acutely changes the expression of inflammatory and lipogenic genes in adipose tissue. This information should be considered cautiously when designing studies to assess adipose tissue gene expression in morbidly obese patients. The same timing of sampling is mandatory. | 0 | NIv2 | task849_pubmedqa_answer_generation | zs_opt | [
0.4348319172859192,
0.3770178556442261,
-0.6635167002677917,
0.11653292924165726,
0.2699102759361267,
-0.006619705818593502,
0.0868503749370575,
1.4720759391784668,
0.0010184652637690306,
-0.014792789705097675,
-0.3762591779232025,
0.1391044557094574,
-0.8427492380142212,
-0.02888850681483... |
Detailed Instructions: Combine the given two facts to write a concluding fact. Note that there should be some parts of the first and second facts that are not mentioned in this conclusion fact. Your combined fact should be the result of a chain between the two facts. Chains form when two facts connect together to produ... | threatening behavior causes adrenaline to surge in animals. | 4 | NIv2 | task038_qasc_combined_fact | fs_opt | [
0.03379722684621811,
0.5606157183647156,
-0.7818064093589783,
0.08931116759777069,
-0.5589553117752075,
-0.9439997673034668,
-0.23988069593906403,
1.4800240993499756,
-0.5111406445503235,
0.047583915293216705,
-1.166679859161377,
0.5097998976707458,
-0.4877086877822876,
-0.2071846127510070... |
You will be given a definition of a task first, then some input of the task.
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 upperc... | I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_JUMP I_JUMP I_JUMP | 1 | NIv2 | task130_scan_structured_text_generation_command_action_long | zs_opt | [
0.23567362129688263,
0.6462440490722656,
-0.40724387764930725,
0.257779598236084,
0.17912878096103668,
0.03760549798607826,
0.31857267022132874,
0.2037556916475296,
-0.2656090259552002,
-0.3767588138580322,
-0.704791247844696,
-0.4530520439147949,
-0.4695996046066284,
-0.17894090712070465,... |
Instructions: In this task, you will be shown a sentence, and you should determine whether it is overruling or non-overruling. In law, an overruling sentence is a statement that nullifies a previous case decision as a precedent by a constitutionally valid statute or a decision by the same or higher ranking court which ... | overruling | 3 | NIv2 | task274_overruling_legal_classification | zs_opt | [
-0.47542399168014526,
0.9237383604049683,
0.674687385559082,
-0.15461260080337524,
-0.38349491357803345,
-0.9145861864089966,
0.7510210275650024,
0.7387152314186096,
0.31237825751304626,
-0.32798656821250916,
-0.19473616778850555,
-0.7427605390548706,
-0.7031627893447876,
-0.07032269239425... |
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.
Input: diisSertTuUKtYDuocJBlLdVhYTvvyqnDwiInI, uELPOYoIfroWPXxDuocJBlLdVhYTvvCWGGi
Output: | b, c, d, e, h, i, j, k, l, n, o, q, r, s, t, u, v, w, y | 3 | NIv2 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | zs_opt | [
-0.12643828988075256,
1.2017816305160522,
-0.2359863966703415,
-0.16541562974452972,
-0.24453896284103394,
-0.2144443392753601,
0.6725638508796692,
0.19673046469688416,
0.2663019299507141,
-0.2694254517555237,
-0.4810256361961365,
0.05135008692741394,
0.28392741084098816,
0.374464303255081... |
Teacher: 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 it connects... | Yes | 2 | NIv2 | task066_timetravel_binary_consistency_classification | fs_opt | [
-0.3387269973754883,
0.00961134023964405,
-0.4850718379020691,
0.19537094235420227,
0.40347278118133545,
-0.4200906753540039,
-0.12412960827350616,
1.253124713897705,
0.2528141736984253,
-0.41745954751968384,
-0.0852302610874176,
-0.0050973747856915,
-0.7201434373855591,
-0.583788633346557... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
Example input: życiu stawić czoła Granicę przekrocz "" Będziesz wolna "", już ktoś tam woła. Kobiety nadziei Kobiety zmian Kobiety wojny i bólu Czuję waszą siłę tak ona powiedziała Jeśli czujesz się bezsilna, pomóż komuś Jeśl... | כולם, לעמוד! לעמוד! | 3 | NIv2 | task1260_ted_translation_pl_he | fs_opt | [
-0.3928745985031128,
0.477233350276947,
-0.547539472579956,
-0.20365214347839355,
-0.2608632743358612,
-1.304483413696289,
1.3924579620361328,
0.3182360529899597,
0.8141689300537109,
-0.5353977084159851,
-0.9357614517211914,
0.6262551546096802,
-1.3422828912734985,
0.040993597358465195,
... |
Detailed Instructions: Given a premise, an initial context, an original ending, and a new ending, the task is to generate the counterfactual context that is aligned with the new ending. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and the second sentence, which is the i... | They found out that they are cheating each other. | 8 | NIv2 | task270_csrg_counterfactual_context_generation | zs_opt | [
0.4417121410369873,
0.32568827271461487,
-0.20249700546264648,
0.2497512400150299,
0.11750209331512451,
-0.06066964194178581,
-0.2559894323348999,
1.0800042152404785,
0.058762628585100174,
0.024065935984253883,
-0.4981464743614197,
-0.5548654794692993,
-0.4058668315410614,
-0.1939015984535... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: identity-attack and non-identity-attack. Identity attack refers to anything rude or disrespectful about someone's identity, including appearance, race, gender, and sexual orientation.
Example: ... | Solution: Non-identity-attack | 5 | NIv2 | task325_jigsaw_classification_identity_attack | fs_opt | [
-0.1295376420021057,
0.27350810170173645,
0.07659357786178589,
0.7799735069274902,
0.08002734929323196,
-0.5670177936553955,
0.8818818926811218,
0.7510250806808472,
0.334896445274353,
0.5839781165122986,
0.16964533925056458,
-0.21255742013454437,
-0.13183194398880005,
-0.4824202358722687,
... |
Definition: In this task, you're given four sentences of a story written in natural language in which one part is missing. Your job is to predict the position and missing part of the story and return in the following format: position, missing part. The missing part is a sentence that completes the story, and the positi... | 5, Lary was happy and excited. | 2 | NIv2 | task299_storycloze_sentence_generation | zs_opt | [
-0.5152544975280762,
0.8817399740219116,
0.020845182240009308,
-0.8630117774009705,
0.1623271107673645,
0.1472562551498413,
0.29456931352615356,
0.5346487164497375,
0.3317541778087616,
-0.2714543342590332,
-0.8405082821846008,
-0.6323906183242798,
-0.24411723017692566,
0.10328265279531479,... |
Q: Given a sentence in the Japanese, provide an equivalent translation in Bahasa Indonesia that retains the same meaning through the translation. In translation, keep numbers as it is.
ニューヨーク州ニューヨークで火曜日、マイケル・R・ブルームバーグ市長が気候非常事態を発表した。
A: | Pada hari Selasa, Walikota Michael R. Bloomberg mengumumkan darurat cuaca di kota New York, New York. | 7 | NIv2 | task1115_alt_ja_id_translation | zs_opt | [
-0.5926262140274048,
1.0474917888641357,
0.052652113139629364,
-0.2798837423324585,
-0.22697439789772034,
-1.0446139574050903,
0.12800496816635132,
-0.013690672814846039,
0.459573358297348,
-0.17711827158927917,
-0.6127268075942993,
0.5699951648712158,
-0.4761020541191101,
0.38472670316696... |
Q: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
You a... | You are likely to find a toilet tank in the bathroom. | 7 | NIv2 | task413_mickey_en_sentence_perturbation_generation | zs_opt | [
0.06940729916095734,
0.5737645626068115,
-0.24238945543766022,
-0.10547216236591339,
0.056558359414339066,
-1.3453983068466187,
-0.03403975069522858,
0.5067472457885742,
-0.02072465978562832,
0.0046673985198140144,
-0.42688268423080444,
-0.20878013968467712,
-0.8490425944328308,
-0.2086920... |
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 most plausible.
... | they will play with Riley
| 0 | NIv2 | task595_mocha_answer_generation | fs_opt | [
-0.12485691905021667,
0.9417673945426941,
0.42631858587265015,
0.07447651773691177,
-0.526436984539032,
-0.1771365851163864,
0.8461799621582031,
0.10941261053085327,
0.1494729220867157,
-0.4874032735824585,
-0.7066206932067871,
0.008903546258807182,
-0.08833030611276627,
0.5654368996620178... |
Definition: You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
Input: W 1993, roku premiery filmu otrzymaliśmy dotację z Narodowej Fundacji na rzecz Nauki na próbę pobrania DNA od dinozaura. Wybraliśmy dinozaura po lewej, Tyranozaura Rexa - był ciekawym okazem.
Output: | En 1993, cando a película foi estreada, nós conseguimos unha bolsa da National Science Foundation para tratar de extraer ADN dun dinosauro. Eliximos o dinosauro da esquerda, un Tiranosauro Rex, o cal era un exemplar moi bo. | 2 | NIv2 | task1261_ted_translation_pl_gl | zs_opt | [
-1.328589916229248,
0.07874508202075958,
-0.3173295259475708,
-0.04777154326438904,
-1.086230993270874,
0.5002822875976562,
0.8336905837059021,
-0.04913581162691116,
0.05748894810676575,
-0.5380898118019104,
0.21575301885604858,
0.11837933212518692,
-0.4862343966960907,
0.4123958945274353,... |
Detailed Instructions: In this task, you are given a multiple-choice question and you have to pick the correct option. Answer with option indexes (i.e., "A", "B", "C", and "D").
Problem:Magnetic media, such as TVs, computer monitors, credit cards and pacemakers can be damaged when exposed to (A) neodymium (B) a paper c... | A | 8 | NIv2 | task1286_openbookqa_question_answering | zs_opt | [
-0.24091938138008118,
0.5824970602989197,
-0.6991665363311768,
-0.1749403327703476,
0.08195525407791138,
-0.3120875954627991,
0.47612690925598145,
0.9629449844360352,
-0.09657642245292664,
0.01711224392056465,
0.1981494128704071,
0.04799390956759453,
0.04410398006439209,
-0.777336061000824... |
Given the task definition, example input & output, solve the new input case.
In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.
Example: passage: Franchising is a way for small business owners to benefit from the ec... | No | 1 | NIv2 | task380_boolq_yes_no_question | fs_opt | [
-0.1241767555475235,
0.2752624750137329,
-0.4007464051246643,
0.3929200768470764,
0.06386243551969528,
0.9038976430892944,
0.35810625553131104,
0.9990758895874023,
0.41673269867897034,
-0.009261416271328926,
-0.1262485533952713,
-0.18946367502212524,
0.3410060405731201,
-0.0718751698732376... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task you 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 numb... | [2520, 870205, -8200, 1880, 0, -1596672, -114144, -1680, -1320] | 0 | NIv2 | task371_synthetic_product_of_list | fs_opt | [
0.4904165267944336,
0.07876370847225189,
-0.9242841005325317,
0.15835168957710266,
0.3756566643714905,
-0.37122637033462524,
1.022558331489563,
1.092652678489685,
-0.5004829168319702,
0.057999882847070694,
-0.6803350448608398,
-0.5065596103668213,
-0.18179607391357422,
-0.33221691846847534... |
Indicate the presence of numerical data in the abstract (whether numerical data plays a key role in medical records), solely using the information from the abstract.
--------
Question: Abstract: Off-road vehicles have attained growing popularity, expanding markets and increasing rates of associated injury, especially a... | Yes
| 7 | NIv2 | task621_ohsumed_yes_no_numerical_answer_generation | fs_opt | [
-0.18949881196022034,
-0.09262816607952118,
-0.8251467347145081,
-0.23036107420921326,
0.09151569753885269,
-0.9179487228393555,
0.1863071620464325,
0.7737446427345276,
0.48428550362586975,
0.2785704731941223,
-0.7725802063941956,
0.4072127938270569,
-0.13022468984127045,
0.141217321157455... |
Q: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Japanese.
O tal vez recuerdan la etapa deambuladora en la que los niños aprenden a caminar y hablar y a usar el tenedor.
A: | もしくは幼児期に歩き始めたり話し始めたりフォークを使い始めた頃を思い浮かべたかもしれません | 7 | NIv2 | task1227_ted_translation_es_ja | zs_opt | [
-0.18754726648330688,
0.7830056548118591,
-0.42939484119415283,
-0.4530661404132843,
-0.2004796862602234,
0.2780206501483917,
0.2654970586299896,
0.8443604707717896,
0.1182372123003006,
-0.6008360981941223,
0.3051659166812897,
0.13131533563137054,
-0.35744810104370117,
0.5018340945243835,
... |
Given the task definition and input, reply with output. The input is a tweet which can be classified as Hate Speech, Offensive or Normal. Given such a tweet, output the class the tweet belongs to. Hate Speech will contain threatening language towards the community targeted. Offensive language will contain abusive or di... | Offensive | 5 | NIv2 | task1502_hatexplain_classification | zs_opt | [
-1.0766316652297974,
0.9992249011993408,
0.44233793020248413,
0.2887763977050781,
-0.10407942533493042,
-0.959624707698822,
-0.23313617706298828,
0.6211748123168945,
0.8301250338554382,
0.4884212613105774,
-0.1237797960639,
0.26936689019203186,
-0.8407419919967651,
-1.1106507778167725,
0... |
Teacher:Classify the given a piece of financial news into three classes: positive, negative, and neutral. Output must be 'positive', 'negative', or 'neutral'.
Teacher: Now, understand the problem? Solve this instance: Sales increased due to growing market rates and increased operations .
Student: | positive | 6 | NIv2 | task843_financial_phrasebank_classification | zs_opt | [
-0.9052722454071045,
-0.5457783937454224,
-0.2193187177181244,
-0.06389841437339783,
0.04020671546459198,
0.4007050395011902,
-0.2979773283004761,
1.1168224811553955,
0.05566256493330002,
0.3836803138256073,
-0.4784625470638275,
0.1078343465924263,
-0.4798775911331177,
-0.6609217524528503,... |
instruction:
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 ... | I think I did a great job >Causes> I feel(s) proud
| 9 | NIv2 | task749_glucose_reverse_cause_emotion_detection | fs_opt | [
-0.30224233865737915,
0.1822338104248047,
-1.087957501411438,
0.03096674010157585,
0.15978822112083435,
-1.0952725410461426,
0.7037792205810547,
0.43294602632522583,
-0.7500399351119995,
-0.1287355273962021,
-0.7077285051345825,
0.9892472624778748,
-0.21707895398139954,
-0.0289283301681280... |
Detailed Instructions: In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative.
See one example below:
Problem: This is my go to place to get the best chicken Pad Thai!... | NEGATIVE | 4 | NIv2 | task475_yelp_polarity_classification | fs_opt | [
-1.0155906677246094,
-0.16363587975502014,
-0.22181034088134766,
0.6385109424591064,
0.3734743595123291,
-0.7678203582763672,
1.2084300518035889,
1.2395225763320923,
0.004511639475822449,
-0.04428495094180107,
-0.08403518795967102,
0.3833027184009552,
-0.8046783208847046,
0.099397271871566... |
Part 1. Definition
In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using terms from the passage. Indicate your choice as 1, 2, or 3.
Part 2. Example
Question: When did the operat... | 3 | 7 | NIv2 | task230_iirc_passage_classification | fs_opt | [
-0.05035647004842758,
0.4615709185600281,
-0.4899299144744873,
-0.09092476963996887,
0.6377929449081421,
-0.17747847735881805,
0.7595020532608032,
1.3431196212768555,
0.35256531834602356,
0.08200985938310623,
-0.05847552418708801,
0.33652547001838684,
-0.5320570468902588,
-0.02226679772138... |
In this task, you are given an input list A. You need to convert all the alphabets in the list with a number representing their position in the English alphabet. E.g., replace A by 1, B by 2, a by 1, b by 2, and so on.
One example: ['8129', 'a', '4245', '2391', 'Y', '7569']
Solution is here: 8129, 1, 4245, 2391, 25, 75... | 6, 3373, 25 | 6 | NIv2 | task622_replace_alphabets_in_a_list_by_their_position_in_english_alphabet | fs_opt | [
0.03246859461069107,
0.03142165020108223,
0.4633662700653076,
-0.7381221055984497,
0.3786323666572571,
-0.9669311046600342,
0.0984453484416008,
-0.08635837584733963,
0.33965685963630676,
-0.29694151878356934,
-0.4454449713230133,
0.04503101110458374,
0.11608648300170898,
-0.583453536033630... |
Instructions: 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 an... | 38102 | 3 | NIv2 | task087_new_operator_addsub_arithmetic | zs_opt | [
-0.1131344884634018,
0.528830349445343,
-1.190544605255127,
0.2267739176750183,
-0.40014761686325073,
-0.35475730895996094,
0.17069882154464722,
1.4010863304138184,
0.9117410778999329,
0.08003216236829758,
-0.3415054678916931,
-0.5387958884239197,
0.3346555233001709,
0.07082365453243256,
... |
Instructions: In this task, you have to generate the title of the recipe given its required ingredients and directions.
Input: ingredients: '1 lb yellowfin tuna steak, skinned and cubed', '1 (10 3/4 ounce) can chicken broth', '1 cup water', '1 cup diced potato', '1/2 cup chopped onion', '1/2 cup chopped celery', '1/2 ... | Tuna Chowder (Fresh And Fast) | 3 | NIv2 | task569_recipe_nlg_text_generation | zs_opt | [
0.8581070899963379,
-0.16535985469818115,
-1.0091285705566406,
0.4578741192817688,
0.33462536334991455,
-0.3097574710845947,
0.9850465655326843,
0.4268028736114502,
-0.08615578711032867,
-0.2212967872619629,
0.3820781111717224,
-0.06711477041244507,
-0.7138024568557739,
-0.0617776513099670... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse ... | Solution: A woman is jogging past a fountain to find her husband. | 5 | NIv2 | task184_snli_entailment_to_neutral_text_modification | fs_opt | [
-0.002223407616838813,
0.4411720633506775,
0.36644744873046875,
-0.23952749371528625,
0.24252331256866455,
-0.8347746133804321,
-0.43988198041915894,
0.6887952089309692,
0.30311721563339233,
-0.5739278793334961,
-1.1409013271331787,
-0.669371485710144,
-0.8474997282028198,
-0.5722467303276... |
Q: Given a sentence in German, generate a new German sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it ... | Sie können eine Schrotflinte benutzen, um in einen Laden zu klopfen. | 7 | NIv2 | task416_mickey_de_sentence_perturbation_generation | zs_opt | [
-0.45019376277923584,
0.8023728132247925,
0.09505721926689148,
0.09350387752056122,
-0.2951623499393463,
-0.13419082760810852,
1.2612653970718384,
0.8084577322006226,
0.32154810428619385,
-0.2862299680709839,
-0.5553967356681824,
0.4749022126197815,
-1.1372275352478027,
0.4758003354072571,... |
In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it. Your job is to determine which sentence(s) from the passage can be used to search for further information needed to answer the question.
Example Input: Question: What year was the... | At the horizon are lighter highlands at the southern margin of the mare, near the Apollo 11 landing site
| 3 | NIv2 | task234_iirc_passage_line_answer_generation | fs_opt | [
0.40058234333992004,
0.8183187246322632,
-0.7999639511108398,
-0.3212698698043823,
0.5472029447555542,
-0.5780789852142334,
0.4455585181713104,
0.7569876909255981,
-0.4260222613811493,
0.16687148809432983,
-0.1532575786113739,
0.7278417944908142,
-0.5977370738983154,
0.3977208435535431,
... |
In this task, you are given one english sentence. The major part of the sentences talk about health-related topics, but some of the them describe an organization and its activities. Your job is to translate the given sentences into German.
Example input: Flu in birds is quite common.
Example output: Grippe bei Vögeln ... | Risikokommunikation kommt in jeder Phase des Risikomanagements zum Tragen. | 3 | NIv2 | task1396_europa_ecdc_tm_en_de_translation | fs_opt | [
-0.8771423101425171,
0.7366591691970825,
-0.09782437980175018,
-0.8102797865867615,
-0.29183775186538696,
-0.18464213609695435,
0.6193346381187439,
0.8088541030883789,
-0.012627300806343555,
-0.3322686553001404,
-0.29160481691360474,
0.28781604766845703,
-0.7315421104431152,
0.493492931127... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
Let me give you an example: Pero comenzamos con la idea de un niño por vez.
The answer to this example can be: אבל התחלנו לממש את הרעיון של ללמד כל ילד בנפרד.
Here is why: The Spanish sentence is correctly translated into H... | ולא רק טכנולוגיה אנחנו מכניסים לבעלי-חיים. | 8 | NIv2 | task1229_ted_translation_es_he | fs_opt | [
-1.083930492401123,
0.21983402967453003,
0.15912412106990814,
-0.003846927545964718,
-0.6059610247612,
-0.0847804844379425,
0.7989672422409058,
0.7116723656654358,
0.5027626752853394,
-0.4614332318305969,
-0.05515330284833908,
0.5603532195091248,
-0.7860344052314758,
0.30219778418540955,
... |
Teacher:Translation from English to Telugu.
Teacher: Now, understand the problem? Solve this instance: WOMAN: (SINGING) There's gotta be some freedom from these worries on my mind
Student: | మహిళ: ( కీర్తన) కొన్ని స్వేచ్చ ఉన్నాయి గొట్ట నామనస్సుఈఆందోళనలతోపాటునుండి | 6 | NIv2 | task1330_open_subtitles_en_te_translation | zs_opt | [
0.2415037453174591,
0.627511739730835,
-0.3289480209350586,
-0.36333876848220825,
0.07772001624107361,
-0.9079369902610779,
0.16271185874938965,
0.829940915107727,
-0.023913290351629257,
-0.1608995497226715,
-0.07607309520244598,
-0.6486934423446655,
-0.6438167095184326,
-0.369970977306365... |
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.
One example is below.
Q: Context_1 : Charles Edward Ives ( ; October 20, 1874May 19, 1954) wa... | Who founded the American country music band that recorded Do You Love Me Just Say Yes? | 9 | NIv2 | task191_hotpotqa_question_generation | fs_opt | [
0.6891534328460693,
0.34985288977622986,
-0.8356341123580933,
1.054969072341919,
0.5251984000205994,
-0.13426482677459717,
0.7167499661445618,
0.5180169343948364,
-0.061062756925821304,
0.3338373303413391,
-0.022834811359643936,
0.5336179733276367,
-0.9618646502494812,
-0.10721589624881744... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.
Problem:(Risate) E alcuni di loro, molti di loro effettivamente, avevano l'acqua che arrivava in più di una stanza.
Solution: | (Risos) E alguns deles, muitos deles aliás, tinham água em mais do que uma divisão. | 8 | NIv2 | task1255_ted_translation_it_pt | zs_opt | [
0.304813027381897,
1.7137255668640137,
-0.5582233667373657,
-0.2620168924331665,
-0.5268718004226685,
-0.9142444729804993,
-0.5638012886047363,
1.062074899673462,
0.30339282751083374,
-0.1365891396999359,
-0.7128762006759644,
0.20701538026332855,
-1.0987796783447266,
-0.09141717851161957,
... |
TASK DEFINITION: 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.
PROBLEM: Sentence: 'The Secretary shall cause all members of the Committee to receive written or email notice of any meeting of the Comm... | be town in
| 8 | NIv2 | task676_ollie_relationship_answer_generation | fs_opt | [
0.06264606863260269,
-0.12967433035373688,
-0.15947644412517548,
0.05635691434144974,
0.09028491377830505,
-1.2203521728515625,
0.20554083585739136,
0.43566375970840454,
-0.9840844869613647,
-0.10326212644577026,
-0.2167048156261444,
-0.01316291093826294,
-0.2729630470275879,
0.74597346782... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to pa... | True | 1 | NIv2 | task1162_coda19_title_classification | zs_opt | [
0.6443475484848022,
-0.2741813361644745,
-0.29844680428504944,
0.17130814492702484,
0.2401576191186905,
-0.2082473337650299,
0.9741990566253662,
0.5479981303215027,
-0.40965503454208374,
0.2917727530002594,
-0.0993834137916565,
0.6646251678466797,
-0.469043105840683,
0.45380479097366333,
... |
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 likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant ... | My brother feel(s) anger >Motivates> My brother fights with me when we were younger | 1 | NIv2 | task747_glucose_cause_emotion_detection | zs_opt | [
-0.37704288959503174,
0.5510694980621338,
0.05771033465862274,
0.06727346777915955,
-0.2630242109298706,
-0.5367592573165894,
1.1913948059082031,
0.6014404892921448,
0.04318341612815857,
-0.33632907271385193,
-0.5197785496711731,
-0.1893148571252823,
-0.2379148006439209,
0.0489902794361114... |
Detailed Instructions: A text is given in Tamil. Translate it from the Tamil language to the Hindi language. The translation must not omit or add information to the original sentence.
Q: பொறுப்புத்தன்மை என்பது ஜனநாயகத்திற்கும் அனைத்து நிறுவனங்களுக்கும் ஒருங்கிணைந்தது என்றும் அரசு, நீதித்துறை, சட்டம் இயற்றும் அமைப்புகள்... | श्री प्रसाद ने कहा कि जवाबदेही लोकतंत्र का अभिन अंग है और सभी संस्थानों- सरकार, न्यायपालिका, विधानमंडल और मीडिया को इस सिद्धांत का पालन करना होगा। | 9 | NIv2 | task994_pib_translation_tamil_hindi | zs_opt | [
0.3063913583755493,
-0.2768688201904297,
0.5620192289352417,
-0.21504095196723938,
-0.34924060106277466,
-1.2257230281829834,
0.3106870949268341,
0.24820154905319214,
-0.572967529296875,
-0.08432026207447052,
-0.0999138131737709,
-0.1003212183713913,
-0.24329963326454163,
0.164790436625480... |
Teacher:In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_) and their corresponding answer. The sentence pair should look similar, and should be about two related but different objects; for example "trophy" and "suitcase". Additionally, the two sentence... | Sentence 1: The meltdown destroyed the core of the facility but not the office, as the _ was so vulnerable.
Answer1: core.
Sentence 2: The meltdown destroyed the core of the facility but not the office, as the _ was so secure.
Answer2: office. | 6 | NIv2 | task029_winogrande_full_object | zs_opt | [
0.5150455236434937,
0.25807440280914307,
0.11940446496009827,
-0.5145294070243835,
0.8108828663825989,
-0.7509764432907104,
0.4053483009338379,
1.2126376628875732,
-0.6614423990249634,
-0.21068274974822998,
-0.18716973066329956,
-0.1161445826292038,
-0.5710163712501526,
-0.1171595379710197... |
In this task, you're given reviews from Amazon's products. Your task is to generate the Summary of the review.
Example: My cat won't touch these. My dog, however, chews them and makes a mess all over the carpet and I can't get the shredded sticks out! Messy. Waste of money!
Example solution: Cat hates them
Example expl... | Solution: I've tried replacing the batteries thinking maybe I had a bad set but it is no use | 5 | NIv2 | task618_amazonreview_summary_text_generation | fs_opt | [
0.03915625810623169,
0.6481434106826782,
-0.8556243181228638,
-0.3535516858100891,
0.08651164919137955,
-1.1836473941802979,
0.5813611149787903,
0.5562613010406494,
-0.34320032596588135,
0.32488954067230225,
0.06443418562412262,
0.8652361631393433,
-0.8182477951049805,
-0.44616246223449707... |
Given the task definition and input, reply with output. Given scene/plot descriptions from movies or TV shows, and given a specific question about the scene, summarize the question into a title
In the finale of the first season of the revamped Dr. Who, we see Rose absorb the Time Vortex of the TARDIS and uses this pow... | How did Rose make Jack immortal? | 5 | NIv2 | task1638_doqa2.1_movies_text_summarization | zs_opt | [
-0.6209282875061035,
0.8426026105880737,
-0.5633364915847778,
0.024536140263080597,
-0.1906599998474121,
-0.5525075793266296,
1.0302796363830566,
0.2505272626876831,
0.050566934049129486,
0.4044952690601349,
-0.0594654455780983,
0.4313398003578186,
0.1301175355911255,
0.4107675552368164,
... |
Given an abstract, and a few options, indicate if any of the given options appropriately describe the given abstract. If any of them is a proper keyword, answer 'Yes', otherwise answer 'No'.
Example input: Abstract: Some patients converted from ventricular fibrillation to organized rhythms by defibrillation-trained am... | Yes | 3 | NIv2 | task623_ohsumed_yes_no_answer_generation | fs_opt | [
0.5374621152877808,
0.3179273009300232,
-0.0352712906897068,
0.27079421281814575,
0.2622079849243164,
-0.5638623237609863,
0.45375004410743713,
0.3028215765953064,
0.12229707837104797,
0.576708197593689,
-0.29897522926330566,
0.4092214107513428,
0.10415732860565186,
0.5868667960166931,
0... |
Definition: In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural language interpretation. Define body (contains a collection of statement... | and { only { filter_less { all_rows ; time ; 22.2 } } ; eq { hop { filter_less { all_rows ; time ; 22.2 } ; athlete } ; veronica campbell - brown } } | 2 | NIv2 | task210_logic2text_structured_text_generation | zs_opt | [
0.2947404384613037,
-0.004474461078643799,
-0.5081897974014282,
0.5557711124420166,
0.11400282382965088,
-0.3849426209926605,
0.6044666171073914,
0.47774139046669006,
0.2826707065105438,
-0.30309784412384033,
-0.2668742835521698,
-0.11393475532531738,
-0.2282685488462448,
0.625671863555908... |
Categorize the comment on the basis of threat. If the comment is threatening output Yes, otherwise output No.
Just another ding dong in the greatland
No
So. the US Congress passed a law in response to a US Supreme Court decision which they did not like and the President signed it or it wouldn't be in effect.
That d... | No
| 0 | NIv2 | task1722_civil_comments_threat_classification | fs_opt | [
0.09682142734527588,
0.6707489490509033,
-0.36770519614219666,
0.6877506971359253,
-0.5154821872711182,
-0.8012102246284485,
0.4269324839115143,
0.6191889047622681,
-0.04686916247010231,
-0.07285186648368835,
-0.6263898015022278,
-0.1062159314751625,
-0.270175576210022,
-0.6226844787597656... |
Detailed Instructions: Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third is wh... | blue_container | 4 | NIv2 | task152_tomqa_find_location_easy_noise | fs_opt | [
0.5321559309959412,
-0.03378530591726303,
-0.33717525005340576,
-0.520958662033081,
-0.6526469588279724,
-0.25968778133392334,
0.399532675743103,
0.7300217151641846,
0.03039693646132946,
-0.14433211088180542,
0.11930917203426361,
0.785202145576477,
-0.041510552167892456,
0.0883115530014038... |
Given the task definition and input, reply with output. In this task, you are given an input list A. You need to find all the elements of the list that are numbers and calculate their sum.
['f', 'A', 'U', 'P', '2403', '5101', '7205', '7321', 'i', 'R', 'R', 'o', '1055', '87', 'b', 'd', 'p']
| 23172 | 5 | NIv2 | task499_extract_and_add_all_numbers_from_list | zs_opt | [
-0.8187196254730225,
0.8866226077079773,
-0.5737682580947876,
-0.9041645526885986,
-0.15040238201618195,
-0.021777715533971786,
0.5213711261749268,
-0.0571172796189785,
-0.17718689143657684,
-0.21237048506736755,
-1.0574249029159546,
0.2762882113456726,
-0.20219579339027405,
-0.30315941572... |
In this task, you need to write an incorrect answer to the given question. Along with the question, you are also given the correct answer(s) and the associated paragraph. An incorrect answer should be closely related to the content of the paragraph and/or the question but will not truthfully answer the question. Your i... | It was his birthday. | 0 | NIv2 | task055_multirc_write_incorrect_answer | zs_opt | [
-0.16375292837619781,
0.6780414581298828,
-0.898339033126831,
-0.2690536379814148,
-0.5286238193511963,
-0.9311312437057495,
0.5397698283195496,
0.6354380249977112,
-0.3214524984359741,
-0.30201807618141174,
-0.797914981842041,
0.09102708101272583,
-0.8336730003356934,
-0.568863034248352,
... |
Detailed Instructions: In this task, you are given a pair of action statements. Your task is to check if you can conclusively identify which statement is less ethical or not. Answer: 'no' if one of the statements is less ethical, and 'yes' otherwise.
Problem:ACTION1: choosing a guy over my best friend of four years ACT... | no | 8 | NIv2 | task508_scruples_dilemmas_more_ethical_isidentifiable | zs_opt | [
-0.18515782058238983,
0.39546316862106323,
0.2766725420951843,
0.3073839843273163,
-0.4594298005104065,
-0.9328930377960205,
0.2978251576423645,
0.6809101104736328,
0.40327805280685425,
0.615514874458313,
-0.08272233605384827,
-0.649969220161438,
-0.7931205034255981,
-0.8399724364280701,
... |
Q: In this task, you are given inputs i and A, where i is an integer and A is a list. You need to output the first i elements of A, starting with the 1st element in A. i will always have a value less than the length of A
1, ['y', '8801']
A: | y | 7 | NIv2 | task063_first_i_elements | zs_opt | [
-0.36615997552871704,
0.848960816860199,
-0.28914913535118103,
-0.17999807000160217,
-0.40801629424095154,
-0.18130001425743103,
-0.08533257246017456,
0.5168541669845581,
0.34581801295280457,
-0.3515755534172058,
-0.48345890641212463,
-0.2867566645145416,
-0.049426138401031494,
-0.56698840... |
You are given a sentence in English. Your job is to translate the English sentence into Hebrew.
Example input: Monterey is one of those.
Example output: מונטריי היא אחת מהם.
Example explanation: The English sentence is correctly translated into Hebrew. The city `Monterey` is correctly translated as `מונטריי`.
Q: We ha... | קידמנו את הטכנולוגיה הרפואית שלנו, יש לנו טכנולוגיית הגנה, יש לנו טכנולוגיה מדעית, אפילו יש לנו טכנולוגיה מתקדמת לאמנות. | 3 | NIv2 | task1221_ted_translation_en_he | fs_opt | [
-0.038761939853429794,
0.709420919418335,
0.3492814898490906,
-0.3889901638031006,
-0.15568509697914124,
-1.1934785842895508,
-0.16044127941131592,
0.21406574547290802,
1.183420181274414,
-0.26901906728744507,
-0.14978933334350586,
0.3632811903953552,
-0.7730667591094971,
0.022538928315043... |
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\*.
who won the champions league final last... | Real Madrid | 0 | NIv2 | task582_naturalquestion_answer_generation | zs_opt | [
-0.44907689094543457,
1.4637759923934937,
-0.11392255127429962,
-0.04676005244255066,
-0.2541040778160095,
-0.3318307399749756,
1.3019804954528809,
0.1212582215666771,
0.266273558139801,
-0.26769834756851196,
-0.6870006322860718,
0.6316037178039551,
-0.49035215377807617,
-0.063499599695205... |
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
| 1 | NIv2 | task1207_atomic_classification_atlocation | fs_opt | [
0.1309598684310913,
0.39050301909446716,
0.06751269847154617,
-0.2360268533229828,
-0.44276124238967896,
-0.2581140100955963,
1.304551124572754,
0.39190298318862915,
-0.44309595227241516,
-0.45862776041030884,
-0.5741926431655884,
-0.2163098156452179,
-0.6377151012420654,
0.369625091552734... |
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
See one example below:
Problem: מונטריי היא אחת מהם.
Solution: Monterey is one of those.
Explanation: The Hebrew sentence is correctly translated into English. `Montery` is correctly translated into `מו... | Another factor of, say, six in dimensional reduction, which should give us about another factor of 100 in raw improvement in what the chips can do. And so, to put that in practical terms, if something costs about 1,000 dollars today, say, the best personal computer you can buy, that might be its cost, I think we can ha... | 4 | NIv2 | task1234_ted_translation_he_en | fs_opt | [
0.21469204127788544,
0.2735716700553894,
0.2392379641532898,
-0.25658246874809265,
-0.06528246402740479,
-0.54888516664505,
0.424261212348938,
0.13602201640605927,
0.8407628536224365,
-0.19848789274692535,
-0.3552051782608032,
0.7271199226379395,
-0.8876663446426392,
0.23651599884033203,
... |
Given the task definition and input, reply with output. Given a sentence in the Japanese and Lao language. Your task is check if the Lao sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: 今年初めからアーデン湾で91隻の船が海賊に襲撃されているが、シリウス・スターは最大であり、拘束... | Yes | 5 | NIv2 | task1126_alt_ja_lo_answer_generation | zs_opt | [
-0.8469219207763672,
0.010795513167977333,
-0.03693769499659538,
-0.7041350603103638,
0.007741878274828196,
-0.4922983944416046,
0.2017916738986969,
0.5403148531913757,
-0.057588763535022736,
-0.2602974772453308,
0.3646523356437683,
0.4815371632575989,
-0.9104266166687012,
0.39967316389083... |
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.... | Yes | 2 | NIv2 | task1196_atomic_classification_oeffect | zs_opt | [
0.3778165876865387,
0.30258816480636597,
0.13469482958316803,
-0.17562800645828247,
-0.5850808620452881,
-0.7291167378425598,
1.397004246711731,
0.2425198256969452,
-0.3920815587043762,
-0.3998635411262512,
-0.37208402156829834,
-0.030018344521522522,
-0.6568571329116821,
0.060578592121601... |
Part 1. Definition
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to output the first i elements of A, starting with the 1st element in A. i will always have a value less than the length of A
Part 2. Example
3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']
Answer: a, ... | 9225 | 7 | NIv2 | task063_first_i_elements | fs_opt | [
0.2551548480987549,
0.2476433515548706,
-0.21752312779426575,
-0.5027395486831665,
0.3254122734069824,
0.029918860644102097,
0.7621069550514221,
0.42771148681640625,
0.008071939460933208,
-0.03589048981666565,
-0.9621829986572266,
-0.03644299507141113,
0.003264755941927433,
-0.461131274700... |
In this task, you need to count the number of words in a sentence that start with the given letter. Answer with numbers and not words.
Example: Sentence: 'a hot dog in a bun with ketchup on a plate with french fries'. How many words start with the letter 'a' in the sentence.
Example solution: 3
Example explanation: The... | Solution: 1 | 5 | NIv2 | task162_count_words_starting_with_letter | fs_opt | [
0.12433632463216782,
0.18454647064208984,
0.0009081756579689682,
-0.4626365900039673,
-0.5362160801887512,
-0.04774608835577965,
0.19001759588718414,
0.1767447292804718,
0.301449179649353,
-1.502746343612671,
-0.48507773876190186,
-0.34525400400161743,
-0.14936724305152893,
-0.041939318180... |
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... | Yes | 4 | NIv2 | task1199_atomic_classification_xattr | zs_opt | [
0.2752666473388672,
0.18682104349136353,
0.050662361085414886,
-0.4725518524646759,
-0.5269731283187866,
-1.6175734996795654,
1.3452956676483154,
0.7040988206863403,
-0.8373655080795288,
-0.24967509508132935,
-0.41467130184173584,
-0.401836633682251,
-1.2016938924789429,
0.0700387731194496... |
Given a sentence in Dutch, generate a new Dutch sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being... | Je bent gestoord om een raam te vinden in de muur van een gebouw.
****
| 4 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | fs_opt | [
-0.7404450178146362,
0.6041821241378784,
-0.01053643599152565,
-0.3146355152130127,
-0.1288648098707199,
-0.6513020992279053,
0.00944507960230112,
0.3354630470275879,
0.3591853380203247,
-0.012675466947257519,
-0.0692935436964035,
1.1409282684326172,
-0.6670799255371094,
0.5128198266029358... |
Definition: In this task you will be given a list, of lists, of numbers. Each list is presented with brackets and comma-separated values. For example, a list of numbers is [1,2,3] and a list of two lists of numbers is [[1,2],[3,4,6]]. You should sum up the values at every position of every inner list and put it as an e... | [141, -81, 19, -109, 103, -65, -45, 95] | 2 | NIv2 | task122_conala_list_index_addition | zs_opt | [
0.2551971971988678,
-0.40466374158859253,
-0.6464725136756897,
-0.47812342643737793,
0.22368481755256653,
-0.41086018085479736,
0.6363102197647095,
0.5996780395507812,
-0.3002925217151642,
0.0006262316601350904,
-0.6357651948928833,
0.07462958991527557,
-0.2042626142501831,
0.0378323197364... |
Based on the given context, craft a common-sense question, especially those that are LONG, INTERESTING, and COMPLEX. The goal is to write questions that are easy for humans and hard for AI machines! To create such questions, here are some suggestions: A. What may (or may not) be the plausible reason for an event? B. Wh... | How do I feel about this situation ?
| 1 | NIv2 | task023_cosmosqa_question_generation | fs_opt | [
0.6329252123832703,
0.2840081751346588,
-0.7744168043136597,
0.35756736993789673,
-0.20794552564620972,
-0.48198848962783813,
0.28899669647216797,
0.9082453846931458,
0.09677352011203766,
0.07997983694076538,
-0.1738707423210144,
-0.08412517607212067,
0.04969242587685585,
0.385594069957733... |
Part 1. Definition
The provided text is in English, and we ask you to translate the text to the Croatian language. Please bear in mind the following guidelines while translating: 1) We want a natural translation, a formal form. 2) Use the symbols like '#@%$-+_=^&!*' as-is. *Include* the special characters as suited whe... | I shvatio sam kako se New Yorčani ne drže za ruke; jednostavno to ne činimo vani. | 7 | NIv2 | task1365_opustedtalks_translation | fs_opt | [
-0.08782991021871567,
0.6665900945663452,
-0.43270108103752136,
0.6011606454849243,
-0.02158517763018608,
-0.7338134050369263,
0.4848974943161011,
0.02476322650909424,
0.1333138793706894,
-0.07535955309867859,
-0.4065913259983063,
0.5941675305366516,
-0.23693254590034485,
-0.04761802405118... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
Let me give you an example: סך כל הפעולות של המהדקים על הגדיל הארוך מקפלות אותו לצורה דמויית מלבן.
The answer to this example can be: ويمكن اعادة تكرار هذه العملية على طول الشريط لكي نطبق شريط الحمض النووي فنشكل ما يشبه المست... | علاقة الثياب. | 8 | NIv2 | task1237_ted_translation_he_ar | fs_opt | [
-0.566756010055542,
0.7381576299667358,
-0.04922539368271828,
-0.5753577947616577,
-0.5109619498252869,
0.12599603831768036,
0.8954209089279175,
-0.19524608552455902,
0.46793657541275024,
-0.42866113781929016,
-1.007289171218872,
0.0008057261002250016,
-0.9874573945999146,
-0.0075035626068... |
In this task, you are given a question and an answer. Answer "Yes" if the given answer correctly answers the question, otherwise answer "No".
Example input: what latitude is tropic of cancer, Answer: It currently (Year 2013) lies at 23° 26′ 15.143′′ north of the Equator.
Example output: Yes
Example explanation: This i... | Yes | 3 | NIv2 | task1294_wiki_qa_answer_verification | fs_opt | [
0.1275504231452942,
-0.6535947322845459,
-0.17427058517932892,
-0.1718137264251709,
-0.08169355988502502,
-0.4287872016429901,
0.39148759841918945,
0.5219988226890564,
-0.1614716649055481,
0.3337487578392029,
0.042564477771520615,
-0.09567736834287643,
-0.6557465195655823,
0.28493812680244... |
Q: 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 a random guess.
CONTEXT: 27 de enero de 2011 La selección del Real Madrid ganó con un gol a cero frente a Sevilla Fút... | un gol a cero | 7 | NIv2 | task1334_sqac_answer_generation | zs_opt | [
0.32919222116470337,
0.8380334377288818,
-0.13133326172828674,
0.15839776396751404,
0.16681696474552155,
-0.09554647654294968,
0.19236025214195251,
0.86823970079422,
-0.13315297663211823,
0.03396632894873619,
-0.2534453272819519,
1.0129162073135376,
-0.8247092962265015,
0.27018672227859497... |
In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write an implausible POS tag to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. Here is the Alphabetical list of part-of-speech tags used in this task: CC... | NN | 4 | NIv2 | task347_hybridqa_incorrect_answer_generation | zs_opt | [
-0.12098447233438492,
0.6504364609718323,
0.1676095575094223,
0.2520195543766022,
-0.0959436297416687,
-0.8010398149490356,
0.7276053428649902,
0.5562081336975098,
-0.12501804530620575,
-0.24486976861953735,
-0.31828010082244873,
0.521062970161438,
-0.5131088495254517,
0.2266274392604828,
... |
Given the task definition, example input & output, solve the new input case.
Generate an overlapping word between the given two sentences. When you find the overlapping words, they don't have to match exactly, e.g., "survival" and "survive" are valid overlapping words. Little words like "the" or "of" don't count! You m... | vehicle | 1 | NIv2 | task039_qasc_find_overlapping_words | fs_opt | [
-0.1979132890701294,
0.7657631635665894,
0.06543655693531036,
0.17663757503032684,
0.10956822335720062,
-0.435720831155777,
-0.009234484285116196,
0.6713513731956482,
-0.255634069442749,
-0.1642192006111145,
-0.7940561175346375,
-0.27425479888916016,
0.1008811891078949,
-0.1992282569408416... |
Definition: In this task, you are given a dialogue between a user and an assistant, where users and assistants converse about geographic topics like geopolitical entities and locations. The task here is to find if the dialogue is by the user or assistant. Classify your answers into user and assistant.
Input: Benin is a... | assistant | 2 | NIv2 | task577_curiosity_dialogs_classification | zs_opt | [
-0.13164122402668,
0.18466942012310028,
-0.343283474445343,
-0.6703546047210693,
-0.20335841178894043,
0.38036397099494934,
1.0971158742904663,
-0.7265080213546753,
0.6444101929664612,
-0.3087424039840698,
-0.774857223033905,
-0.12400585412979126,
-0.41575294733047485,
0.18938976526260376,... |
This task is about translating a given Spanish language sentence to English.
¿Cuándo se convirtió en un problema global?
When did it become a global problem?
(risas)
(Laughter)
Y la mayoría de las imitaciones lleva a la innovación.
| And most imitation leads to innovation.
| 0 | NIv2 | task1692_qed_amara_translation | fs_opt | [
-0.7648411989212036,
1.374801754951477,
0.7085816264152527,
-0.26485294103622437,
-0.5596317648887634,
-0.6968663930892944,
-0.24734795093536377,
0.7698982357978821,
0.3465132713317871,
-0.4518445134162903,
-0.47841116786003113,
0.2084348201751709,
-0.3838875889778137,
0.10920961201190948,... |
instruction:
In this task, you're given a dialogue between a customer and a flight booking agent with a gap in the conversation. Your job is to find the answer of the previous dialogue. Avoid using irrelevant extra information while creating the answer. The answer should be relevant to the question before the blank. If... | customer: Ok.
| 9 | NIv2 | task574_air_dialogue_sentence_generation | fs_opt | [
0.1104816198348999,
0.053653232753276825,
-1.207265853881836,
-0.35575535893440247,
0.6396781206130981,
-0.48885148763656616,
1.1176321506500244,
0.29064348340034485,
-0.5111905336380005,
0.5124074220657349,
0.46913355588912964,
-0.17364194989204407,
-0.34208163619041443,
0.279978096485137... |
Detailed Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Polish.
Q: د.و: نه ، نه ، در واقع من فکر میکنم اونها همشون برای به حرکت درآوردن رفتار حرکتی درست ، در نهایت برای بدست آوردن بازتولید مهم هستند.
A: | DW: Nie. Wszystko to jest ważne, by odpowiednimi ruchami doprowadzić do reprodukcji. | 9 | NIv2 | task1272_ted_translation_fa_pl | zs_opt | [
-0.22255092859268188,
0.34318891167640686,
-0.5521840453147888,
0.3234478831291199,
-0.6575261354446411,
-0.26840144395828247,
0.8889455795288086,
-0.10115499794483185,
0.1222510039806366,
-0.21612684428691864,
-0.5301403999328613,
0.2569487690925598,
-0.19355568289756775,
0.71507591009140... |
Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
One example is below.
Q: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。
A: អ៊ីតាលីបានឈ្នះលើព័រទុយហ្គាល់ 31-5 ក្នុងប៉ូលCនៃពីធីប... | គាត់បានបន្ថែមនៅក្នុងសេចក្តីប្រកាសរបស់គាត់ថារដ្ឋាភិបាលនឹងចេញថ្លៃសំរាប់ការព្យាបាលដល់អ្នកដែលត្រូវនៅព្យាបាលនៅមន្ទីរពេទ្យដែលពុលត្រីដែលមានជាតិពុលនិងអាចផ្តល់ពូកចំនួន100ដល់ទីក្រុងនៃតូលារ៉ា ដោយសារតែមន្ទីរពេទ្យក្នុងតំបន់នោះមានមនុស្សកកកុញ។ | 9 | NIv2 | task1121_alt_ja_khm_translation | fs_opt | [
0.186985045671463,
0.6168684959411621,
-0.8109551668167114,
0.297299861907959,
-0.038536280393600464,
-0.8688797354698181,
0.41748273372650146,
0.6417192816734314,
-0.2395404577255249,
-0.32205092906951904,
-0.9679007530212402,
0.8919113874435425,
-0.7500342726707458,
0.6762339472770691,
... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
Ex Input:
ומשחק התגוששות הוא אמצעי למידה מצוין עבור כולנו.
Ex Output:
Y el juego brusco es un gran medio de aprendizaje para todos nosotros.
Ex Input:
והם לא היחידים שחוצים.
Ex Output:
Y no son los únicos que hacen la tr... | Constantemente usan el argumento que para devaluar al rap y al pop moderno, y estos argumentos perdieron toda perspectiva porque la presa se rompió.
| 1 | NIv2 | task1236_ted_translation_he_es | fs_opt | [
-0.5648878812789917,
-0.21286261081695557,
-0.18866080045700073,
-0.04779015854001045,
-0.42754215002059937,
0.06178603321313858,
0.749602735042572,
-0.3290759325027466,
0.9801560640335083,
-1.1401269435882568,
-0.8634520769119263,
0.2789759933948517,
-0.19824957847595215,
-0.2778679728507... |
You will be given a definition of a task first, then some input of the task.
In the following task, you are given a yes/no question, its answer, and additional information which includes a description of a key term in the question and several facts. Your task is to "decompose the question"i.e. write the steps required ... | Step1: When will the next presidential election be held?, Step2: When did Elijah Cummings pass away?, Step3: Is #2 after #1?, Wikipedia page for step 1: 2020 United States presidential election, Wikipedia page for step 2: Elijah Cummings, Wikipedia page for step 3: , not_definitive_answer: False, incorrect_answer: Fals... | 1 | NIv2 | task168_strategyqa_question_decomposition | zs_opt | [
0.40543699264526367,
-0.3227004408836365,
-0.1402890980243683,
0.8551033735275269,
-0.028534067794680595,
-0.8821809887886047,
0.9886432886123657,
0.3472793698310852,
-0.13756945729255676,
0.45088648796081543,
-0.059583865106105804,
0.3031218647956848,
0.10638394951820374,
0.00182125670835... |
In this task, you are given an input list A. You need to find all the elements of the list that are numbers in the same order as they appear in the list A.
Let me give you an example: ['238', 'h', '92', 'U', '2799']
The answer to this example can be: 238, 92, 2799
Here is why: Here, the numbers in the input list in or... | 7939, 9727, 9675, 7573, 6107 | 8 | NIv2 | task497_extract_all_numbers_from_list_in_order | fs_opt | [
-0.4167264699935913,
0.3444754183292389,
-0.564210057258606,
-0.632742166519165,
0.2450621873140335,
-0.4244075417518616,
0.18485137820243835,
-0.40886855125427246,
-0.39961665868759155,
0.3534999489784241,
-0.8609195947647095,
-0.4035414457321167,
0.2799420952796936,
0.2329174280166626,
... |
You will be given a definition of a task first, then some input of the task.
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
I was sent 1 black docker pants - wrong brand - the other pair of hagg... | negative | 1 | NIv2 | task1312_amazonreview_polarity_classification | zs_opt | [
-0.4162835478782654,
-0.9397048950195312,
0.4686710238456726,
-0.1988602578639984,
0.24680277705192566,
-0.01585729978978634,
1.0715093612670898,
-0.056938789784908295,
-0.21003280580043793,
0.8280587196350098,
-0.11292553693056107,
0.06510574370622635,
-0.40653494000434875,
-0.46931585669... |
Detailed Instructions: In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Romanian language.
Problem:The farther away, the faster the galaxies move away from us.
Solution: | Cu cât sunt mai departe, cu atât mai repede se îndepărtează galaxiile de noi. | 8 | NIv2 | task1436_ro_sts_parallel_language_translation_en_to_ro | zs_opt | [
-0.025897515937685966,
1.473279356956482,
0.540294349193573,
-0.8630337715148926,
-0.2558952271938324,
-0.5028895139694214,
0.582209587097168,
0.4043729305267334,
0.8628784418106079,
0.20320764183998108,
0.0570506677031517,
0.583493709564209,
-0.9752055406570435,
-0.22694799304008484,
-0... |
In this task, you're given reviews from Amazon's products. Your task is to generate the Summary of the review.
This was the worst screen protector I've ever used. Just like the other reviews described, only the exterior edge has adhesive so it pops off the screen constantly. The corner cracked in one day. It got in th... | This was the worst screen protector I've ever used | 0 | NIv2 | task618_amazonreview_summary_text_generation | zs_opt | [
0.4562332332134247,
1.439995527267456,
-0.4284968972206116,
-0.8048344850540161,
-0.6797600984573364,
0.31586939096450806,
0.0005686567164957523,
0.6895081400871277,
-0.21382352709770203,
0.5097742080688477,
-0.33614593744277954,
0.060397353023290634,
-0.4240632653236389,
-0.02353093773126... |
Teacher: Given a scientific question, generate a correct answer to it.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Who proposed the theory of evolution by natural selection?
Solution: darwin
Reason: This is a direct fact that Charles Darwin proposed the theory of evolutio... | pollinator | 2 | NIv2 | task591_sciq_answer_generation | fs_opt | [
-0.05147042125463486,
0.17913472652435303,
-0.038241442292928696,
-0.18798300623893738,
-0.5262933969497681,
-1.0659795999526978,
-0.4447730779647827,
-0.2557152509689331,
-0.10763692855834961,
0.1289648860692978,
-0.6127632856369019,
-0.04049267619848251,
-1.006465196609497,
-0.5323250293... |
This task is about translating a given Spanish language sentence to English.
Q: Latas rescatadas de un cubo de basura. Donde lo más limpio que existe son las cucarachas.
A: Cans scavenged from a public rubbish tip, where the cleanest things are cockroaches.
****
Q: la historia de Nollywood, sentí de verdad que esta e... | Sir!
****
| 4 | NIv2 | task1692_qed_amara_translation | fs_opt | [
-0.6832780241966248,
0.9337083101272583,
0.778853178024292,
-0.23564311861991882,
0.1853383183479309,
-0.35274457931518555,
-0.7437798976898193,
0.7287925481796265,
-0.05275534838438034,
0.00861032772809267,
0.6535541415214539,
0.547433614730835,
-0.6205711364746094,
-0.2468397468328476,
... |
Given the task definition and input, reply with output. In this task, you are given two statements. The task is to output whether a given textual premise, i.e. Statement 2, entails or implies a given scientific fact, i.e. Statement 1. The output should be 'entails' if Statement 2 supports Statement 1 and should be 'neu... | entails | 5 | NIv2 | task1554_scitail_classification | zs_opt | [
-0.40505218505859375,
0.7159290313720703,
0.2632646858692169,
0.017761502414941788,
-0.12724187970161438,
-0.6669877171516418,
-0.48843398690223694,
0.5516726970672607,
0.37112680077552795,
0.08944761753082275,
-0.42828595638275146,
-0.0024438330437988043,
-0.14104489982128143,
-0.09697325... |
Detailed Instructions: Given a scientific passage and an answer, generate a question for the given answer.
Q: Passage: A combustion engine is a complex machine that burns fuel to produce thermal energy and then uses the energy to do work. In a car, the engine does the work of providing kinetic energy that turns the whe... | What is the name of the type of combustion engine that you would find in a car? | 9 | NIv2 | task594_sciq_question_generation | zs_opt | [
-0.03276805579662323,
0.3727467954158783,
0.0993250161409378,
0.3144661784172058,
-0.619634211063385,
-1.2852592468261719,
0.48020780086517334,
0.5968136787414551,
0.4882677495479584,
-0.2548282742500305,
-0.2500981092453003,
-0.5634465217590332,
0.16017377376556396,
0.28689631819725037,
... |
Teacher:In this task, you need to count the number of words in a sentence that contain the given letter
Teacher: Now, understand the problem? Solve this instance: Sentence: 'people riding on an old style passenger train'. How many words contain the letter 'q' in the sentence.
Student: | 0 | 6 | NIv2 | task161_count_words_containing_letter | zs_opt | [
-0.19416534900665283,
0.5926010608673096,
-0.1869349181652069,
-1.556201457977295,
-0.4050822854042053,
-0.5529167056083679,
0.10284905135631561,
0.10849720239639282,
0.3495444059371948,
-0.28688520193099976,
-0.5255818367004395,
-0.8203951716423035,
-0.38047611713409424,
-0.35250043869018... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you 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 re... | No | 0 | NIv2 | task1213_atomic_classification_desires | fs_opt | [
0.14666733145713806,
0.1075991541147232,
0.2635948061943054,
-0.27354320883750916,
-0.37312987446784973,
-0.7638182044029236,
1.2185300588607788,
0.6259748935699463,
-0.48686960339546204,
-0.11628109216690063,
-0.49226102232933044,
-0.4341418743133545,
-0.4767236113548279,
0.33700999617576... |
In this task you will be given a string that only contains single digit numbers spelled out. The input string will not contain spaces between the different numbers. Your task is to return the number that the string spells out. The string will spell out each digit of the number for example '1726' will be 'oneseventwosix... | 01918 | 4 | NIv2 | task1443_string_to_number | zs_opt | [
-0.3872685730457306,
1.432105302810669,
-0.7463626861572266,
-1.1367990970611572,
0.32546865940093994,
-0.32158413529396057,
0.641433835029602,
0.2597702741622925,
-0.11441381275653839,
-0.10969721525907516,
-0.34667345881462097,
0.3621858060359955,
-1.070885181427002,
-0.7978653907775879,... |
instruction:
In this task, you need to reverse all words of a given length in the sentence. The number of letters in a word determine its length. For example, the length of the word "apple" is 5.
question:
Sentence: 'a woman checks upon a baby in a bed'. Reverse all words of length '1' in the given sentence.
answer:
a ... | various luggage bags sitting next ot baggage claim
| 9 | NIv2 | task378_reverse_words_of_given_length | fs_opt | [
-0.010435473173856735,
0.7431352138519287,
-0.6361259818077087,
-0.6179876327514648,
-0.04652230069041252,
-0.233186274766922,
0.17929092049598694,
0.6081396341323853,
0.13519030809402466,
-0.3919481635093689,
-1.159943699836731,
0.182283416390419,
-0.5061858892440796,
-0.1248847246170044,... |
Detailed Instructions: In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given two options and you need to select the one that best connects the first sentence with the rest of the story. Indicate your answer by 'Option 1' if the first option is co... | Option 2 | 4 | NIv2 | task065_timetravel_consistent_sentence_classification | fs_opt | [
-0.06529209017753601,
0.2598322033882141,
-0.3202958106994629,
0.06747661530971527,
0.07966257631778717,
0.09226365387439728,
-0.22939848899841309,
1.1227985620498657,
0.5779979228973389,
-0.17021498084068298,
0.04259656369686127,
-0.6941019296646118,
-0.22709983587265015,
-0.3616287112236... |
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 understandable b... | Brian Heard was the director of the episode originally aired on 26 October, 1969. | 0 | NIv2 | task1409_dart_text_generation | zs_opt | [
0.04546098783612251,
0.9354268908500671,
-0.842807412147522,
-0.345190167427063,
0.06318443268537521,
-0.17236483097076416,
0.7437869906425476,
-0.48104071617126465,
-0.49685683846473694,
-0.613860547542572,
-1.0541163682937622,
-0.16113346815109253,
0.09797663241624832,
-0.447655260562896... |
Q: In this task, you need to answer the given multiple-choice question on geometry. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Problem: three walls have wallpaper covering a combined area of 300 square meters . by overlapping the wallpaper to cover a wall with an area of 180 square meters , the area that i... | e | 7 | NIv2 | task1423_mathqa_geometry | zs_opt | [
0.059027642011642456,
0.6453875303268433,
-0.5491456985473633,
-0.5633858442306519,
0.17566624283790588,
-0.31099313497543335,
0.056160494685173035,
0.15556281805038452,
-0.5721572637557983,
0.07209610193967819,
0.23190094530582428,
1.3526792526245117,
-0.03884769603610039,
0.1641984432935... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.