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 |
|---|---|---|---|---|---|---|
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 initial context, provide... | Kathy couldn't believe what good shape all the photos were in and they were almost 100 years old. | 8 | NIv2 | task270_csrg_counterfactual_context_generation | fs_opt | [
0.5914530158042908,
0.16602447628974915,
-0.28528741002082825,
0.4873259663581848,
0.378020703792572,
-0.7316815853118896,
0.05777847766876221,
1.241572618484497,
-0.39102357625961304,
-0.5484876036643982,
-0.6758377552032471,
-0.16580359637737274,
-0.24261248111724854,
0.33050376176834106... |
Given the task definition and input, reply with output. In this task you are given a sentence. You must judge whether there exist two consecutive words within the sentence with flipped orders, that is, whether the sentence will make sense and be correct if the order of two consecutive words changes. Label the instances... | Original | 5 | NIv2 | task428_senteval_inversion | zs_opt | [
-0.9349316358566284,
0.7171478867530823,
0.4599810838699341,
-0.027806110680103302,
-0.3140302002429962,
-0.09516900777816772,
0.2710134983062744,
0.06633386015892029,
0.3851924240589142,
-0.16929250955581665,
-0.7920878529548645,
-0.36979058384895325,
-0.47470876574516296,
0.1449676305055... |
In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every even number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no even numbers in an inner list you sho... | [42, 180, 0, 16, -34, -135520, 396, -46, 1088, -1120, -1800, 22, -484]
| 7 | NIv2 | task851_synthetic_multiply_evens | fs_opt | [
0.014684842899441719,
0.2454056739807129,
-0.9890124201774597,
0.26454830169677734,
0.13642793893814087,
-0.6966741681098938,
1.206411600112915,
0.6987724304199219,
-0.6879130601882935,
-0.27523157000541687,
-1.0794093608856201,
0.5614765286445618,
-0.9078141450881958,
-0.20516468584537506... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given two strings A, B. Find the longest common substring in the strings A and B.
XkcoRk, VHcoDc
Output: | co | 1 | NIv2 | task600_find_the_longest_common_substring_in_two_strings | zs_opt | [
-0.6583305597305298,
0.14610645174980164,
-0.36733734607696533,
0.046752434223890305,
-0.0010294071398675442,
0.2176511287689209,
0.5506893396377563,
-0.44921648502349854,
0.17336906492710114,
0.0803242027759552,
-0.7708760499954224,
-0.9880006313323975,
0.5158636569976807,
-0.051068063825... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions of the participants in the sentence and those affected by it. Is any of these emotions caused by the sentence? You should write your answer in the form " A >Causes> B". Try to use phrases and sentences fro... | Bob is afraid of spiders >Causes> Bob feel(s) worried
****
| 4 | NIv2 | task749_glucose_reverse_cause_emotion_detection | fs_opt | [
0.057575471699237823,
-0.28542065620422363,
-0.45981335639953613,
0.1369446963071823,
0.17100027203559875,
-1.8097540140151978,
0.7607821226119995,
0.5743334293365479,
-0.4300970435142517,
-0.006126197054982185,
-0.3764062225818634,
0.5689647793769836,
-0.3521832823753357,
-0.2319155037403... |
Q: Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creat... | Is heavy snoring a risk factor for case fatality and poor short-term prognosis after a first acute myocardial infarction? | 7 | NIv2 | task845_pubmedqa_question_generation | zs_opt | [
0.6166806817054749,
0.222680926322937,
-0.40693384408950806,
-0.757230281829834,
0.21139025688171387,
-0.26135092973709106,
0.4531285762786865,
0.7215141654014587,
-0.4841518700122833,
0.22050172090530396,
-0.2703915238380432,
-0.1983051300048828,
-0.5268493890762329,
0.410277396440506,
... |
Given an Amazon customer review, write a title for the review. The preferred titles are under fifteen words.
One example is below.
Q: I was very surprised at the high quality of the stitching, the sturdiness of the handles and the padding for my laptop. The price is amazingly low and the look is very good. I am quite h... | Five Stars | 9 | NIv2 | task1342_amazon_us_reviews_title | fs_opt | [
-0.02435758337378502,
-0.1472630500793457,
-0.35249263048171997,
-0.43096163868904114,
0.31513988971710205,
-0.6279358267784119,
0.5800634622573853,
0.4425605535507202,
0.08837121725082397,
0.9071650505065918,
0.020742082968354225,
0.388933002948761,
-0.5518183708190918,
-0.045765679329633... |
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.
[EX Q]: ... | Non-identity-attack
| 6 | NIv2 | task325_jigsaw_classification_identity_attack | fs_opt | [
-0.5314285159111023,
0.030921457335352898,
0.6409307718276978,
0.5085711479187012,
-0.22651579976081848,
-0.2058662325143814,
0.13902628421783447,
0.6112546920776367,
0.07405199855566025,
0.6270626187324524,
-0.21275728940963745,
-0.02720060385763645,
-0.17675872147083282,
-0.8413394689559... |
Teacher:You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish.
Teacher: Now, understand the problem? Solve this instance: "" E nós gostaríamos de terminar isto.
Student: | “Nos gustaría seguir adelante y cerrar esto. | 6 | NIv2 | task1276_ted_translation_pt_es | zs_opt | [
-0.4065728187561035,
0.8097607493400574,
0.56745445728302,
-0.5124962329864502,
-0.3485322594642639,
-0.795005202293396,
-0.2825916111469269,
1.017124891281128,
0.7915253043174744,
-0.12676207721233368,
-0.36655986309051514,
-0.055286988615989685,
-0.24276843667030334,
-0.7003167271614075,... |
Detailed Instructions: Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels ... | ['CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'UNKNOWN_TYPE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO... | 9 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | zs_opt | [
0.05346658453345299,
-0.04002409800887108,
-0.07204500585794449,
-0.04652497172355652,
0.34969088435173035,
-0.6905723810195923,
0.4331827461719513,
1.043795108795166,
-0.23672360181808472,
0.03651111200451851,
-0.16368979215621948,
-0.3907691538333893,
-0.44975224137306213,
0.229001760482... |
Given the task definition and input, reply with output. The task is to generate the correct answer for a given math problem.
Problem: carl is facing very difficult financial times and can only pay the interest on a $ 10,000 loan he has taken . the bank charges him a quarterly compound rate of 4 % . what is the approxi... | $ 1750 | 5 | NIv2 | task1726_mathqa_correct_answer_generation | zs_opt | [
-0.41992777585983276,
1.9700220823287964,
-0.08029227703809738,
-0.6448097229003906,
-0.3004571199417114,
0.23931840062141418,
1.157971739768982,
0.4091576933860779,
0.19795845448970795,
0.5237501263618469,
0.13908609747886658,
-0.031778719276189804,
-0.5470851063728333,
0.0625166296958923... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Polish.
One example is below.
Q: Os "" media "" interligavam-se connosco.
A: Media łączyły się z nami.
Rationale: The Portugese sentence is correctly translated into Polish, because the meaning is preserved.
Q: Esqueci toda a ... | Pominąłem metryki, motywację, komitety, middle offices i interfejsy. | 9 | NIv2 | task1281_ted_translation_pt_pl | fs_opt | [
-0.20966392755508423,
0.7578784227371216,
0.12964224815368652,
-0.4854065775871277,
-0.09999670833349228,
-0.39724236726760864,
1.2085089683532715,
-0.25747936964035034,
0.6341351270675659,
-0.5274901986122131,
-0.628899872303009,
0.3895692527294159,
-0.525088906288147,
0.31418371200561523... |
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are fine labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is : '$': D... | IN
| 7 | NIv2 | task584_udeps_eng_fine_pos_tagging | fs_opt | [
0.04167693108320236,
0.2617548704147339,
-0.05748852714896202,
0.2802084684371948,
0.10243136435747147,
-0.6917641162872314,
0.7204486131668091,
0.9325414896011353,
-0.6863531470298767,
-0.11978497356176376,
-0.26378923654556274,
0.3128851056098938,
-0.2454911470413208,
-0.0044401502236723... |
Given a sentence in Igbo language, translate the sentence to English language keeping the meaning of the original sentence intact
Q: Igbo sentence: Ọ na-agbalị igbochi anyị ọṅụ, na-ahapụ anyị n'ọchịchịrị.
A: He's not trying to block our joy, and leave us in the dark.
****
Q: Igbo sentence: Ghari - Kui (Indonesia)
A:... | Indonesia So the mainstay tourism sector producers DevisaGili Lawa Dalat, Lombok, Indonesia (Michele Westmorland / Corbis) Tourism Minister Arief Yahya said the government re-establish tourism as a major sector, with a leading sector for foreign exchange earner Indonesia.
****
| 4 | NIv2 | task449_opus_paracrawl_ig_en_translation | fs_opt | [
-0.19833087921142578,
0.7056041955947876,
0.19950327277183533,
-0.5314611792564392,
-0.26225149631500244,
-0.6383253931999207,
0.39105212688446045,
0.16099245846271515,
-0.3054639399051666,
-0.3983186185359955,
-0.2629507780075073,
0.46622976660728455,
-0.6447767019271851,
0.32398730516433... |
Q: 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 det... | No | 7 | NIv2 | task1214_atomic_classification_xwant | zs_opt | [
0.2451009899377823,
0.5014557838439941,
0.1545388102531433,
-0.6268641948699951,
-0.8650931119918823,
-1.0661906003952026,
1.2159383296966553,
0.19668927788734436,
-0.44681811332702637,
-0.43735888600349426,
-0.11635195463895798,
-0.409623384475708,
-0.8732879161834717,
0.3697015047073364,... |
In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update provides additional inform... | weakener | 0 | NIv2 | task936_defeasible_nli_snli_classification | zs_opt | [
-0.19410614669322968,
0.14268556237220764,
-0.38774213194847107,
-0.0007728907512500882,
-0.39588141441345215,
-0.5990643501281738,
0.9557687044143677,
1.1483559608459473,
0.5910545587539673,
-0.44179219007492065,
-1.4707742929458618,
0.1842195689678192,
-0.48890265822410583,
-0.0604189336... |
Teacher: In this task you are given a tweet. You must judge whether the author of the tweet is happy or not. Label the instances as "Happy" or "Not happy" based on your judgment.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Sometimes, you have to smile, pretend everything ... | Not happy | 2 | NIv2 | task398_semeval_2018_task1_tweet_joy_detection | fs_opt | [
-1.0612847805023193,
0.1155746728181839,
0.9963181614875793,
-0.11091866344213486,
0.12926162779331207,
-0.29875919222831726,
-0.06665825843811035,
0.31089073419570923,
0.3321113586425781,
0.18172705173492432,
-0.4176056683063507,
-0.25718480348587036,
-0.1008543148636818,
-0.8054047226905... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a pair of sentences in the Persian Language written in the Persian alphabet. Your job is to choose whether the two sentences agree (entailment), disagree (contradiction), or neither (neutral). Your answer must be in ... | C | 1 | NIv2 | task534_farstail_entailment | zs_opt | [
-0.05399124324321747,
0.6093235015869141,
0.23948413133621216,
0.1828017681837082,
0.05692330375313759,
0.480928897857666,
0.620404839515686,
0.5162237882614136,
0.3824765682220459,
-0.01775941252708435,
-0.42634522914886475,
-0.40861135721206665,
-0.14167627692222595,
-0.24376380443572998... |
Instructions: In this task, you are given a food review in Persian, and you have to extract aspects of the food mentioned in the text. We define aspects as taste/smell(طعم), nutritional value(ارزش غذایی), product quality(کیفیت), delivery(ارسال), packaging(بسته بندی) and purchase value/price(ارزش خرید). Although there m... | طعم | 3 | NIv2 | task529_parsinlu_food_aspect_detection | zs_opt | [
-0.7513304948806763,
0.3119327425956726,
0.40134960412979126,
-0.3584634065628052,
-0.4448750913143158,
0.44673624634742737,
0.7060693502426147,
0.5849047899246216,
-0.3063235878944397,
-0.09838514029979706,
-0.33887842297554016,
-0.04645059257745743,
-0.9385698437690735,
0.219678729772567... |
In this task, given a sentence in the English language, your task is to convert it into the Lao (Laotian) language.
Q: The United States halted its food aid, which had been part of the agreements, after Friday's failed launch.
A: | ສະຫະລັດອາເມລິກາລະງັບຄວາມຊ່ວຍເຫຼືອດ້ານອາຫານທີ່ຢູ່ເປັນສ່ວນໜຶ່ງໃນຂໍ້ສັນຍາ ຫຼັງຈາກການປະຕິບັດງານຜິດພາດໃນວັນສຸກ. | 4 | NIv2 | task554_alt_translation_en_la | zs_opt | [
0.10727899521589279,
1.157761573791504,
0.23597857356071472,
-1.0959893465042114,
-0.20481763780117035,
0.10782040655612946,
0.414811909198761,
1.1338456869125366,
-1.1485408544540405,
-0.1063191294670105,
0.0424448698759079,
-0.33568641543388367,
-0.1566392034292221,
-0.022421125322580338... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
Let me give you an example: "אז," אמרתי, "זה כמו חלום?" והיא אמרה, "" לא, זה לא כמו חלום. זה כמו סרט. "" היא אמרה, "" יש בו צבעים. יש בו תנועה.
The answer to this example can be: Pregunteille: "" É coma un soño? "" E dixo: ... | Os videoxogos tamén nos dan outras cousas tremendas, por iso a xente se volve tan adicta. | 8 | NIv2 | task1110_ted_translation_he_gl | fs_opt | [
-0.721398115158081,
0.602317750453949,
-0.027059927582740784,
-0.5385128855705261,
-0.23708122968673706,
-0.19978532195091248,
1.0495400428771973,
0.05125156790018082,
-0.48454979062080383,
-0.6666705012321472,
0.33590108156204224,
0.3598059415817261,
-0.9893636703491211,
-0.26307657361030... |
You will be given a definition of a task first, then some input of the task.
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'.
Person1: I like watching comedies , like ... | 1 | 1 | NIv2 | task1534_daily_dialog_question_classification | zs_opt | [
0.17525668442249298,
0.2903757691383362,
-0.20670437812805176,
0.12509684264659882,
0.0538758747279644,
0.1611635982990265,
0.7281665205955505,
-0.1703627109527588,
-0.031031537801027298,
-0.056331533938646317,
-0.4514625072479248,
-0.998773455619812,
-0.28032854199409485,
-0.0555661991238... |
Detailed Instructions: In this task, find the most appropriate number to replace the blank (indicated with _ ) and express it in words.
Q: Most children work full-time, _ hours per day, and six days a week.
A: | seven | 9 | NIv2 | task672_nummersense | zs_opt | [
0.41964733600616455,
0.9869303703308105,
0.5721204876899719,
-0.5003461837768555,
-0.9051772356033325,
-0.47879117727279663,
-0.11798717826604843,
0.539466381072998,
0.23339876532554626,
-0.7341104745864868,
0.4854765236377716,
0.17676697671413422,
-0.23327891528606415,
-0.0197291746735572... |
Given the task definition and input, reply with output. In this task, you're given an article, a question which often contains a blank and four options (associated with "A", "B", "C", "D"). Your task is to find the correct answer (from the given options) for the question from the given article and return one of the opt... | C | 5 | NIv2 | task309_race_answer_generation | zs_opt | [
1.0592328310012817,
0.46317437291145325,
-0.22113581001758575,
0.05560235679149628,
1.1472703218460083,
-0.23424836993217468,
0.8137258887290955,
1.0855456590652466,
-0.2762534022331238,
0.2271576076745987,
-0.07654044032096863,
0.4217637777328491,
-0.09067574143409729,
-0.0550360530614852... |
Detailed Instructions: In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. There are several possible answers, you'll need to choose the proper one. Carefully read the... | TIME | 9 | NIv2 | task304_numeric_fused_head_resolution | zs_opt | [
-0.0984882116317749,
0.550506055355072,
-0.4760498106479645,
0.10847540199756622,
-0.3638342320919037,
-0.437016099691391,
0.923699140548706,
0.8943125009536743,
0.36425358057022095,
0.06833252310752869,
-0.6403255462646484,
0.22546863555908203,
-0.5075501799583435,
0.013544270768761635,
... |
In this task, you're given four sentences of a story written in natural language, and one last sentence (Sentence5). Your job is to classify whether the last sentence completes the rest of the story coherently or not by providing 'Yes' or 'No'.
Q: Sentence1: Gina realized she needed to get to work on her report. Senten... | No | 4 | NIv2 | task298_storycloze_correct_end_classification | zs_opt | [
-0.5057526230812073,
0.3415272831916809,
0.6234533786773682,
-0.3208886682987213,
0.14423459768295288,
-0.2621654272079468,
-0.18427973985671997,
0.8441013097763062,
-0.018219154328107834,
0.20451956987380981,
-0.009623056277632713,
-0.5704027414321899,
-0.09351510554552078,
0.048722818493... |
Part 1. Definition
In this task, you're given an article and an answer. Your task is to generate the fill-in-the-blank question for this answer based on the given article. The blanks are always at the end of the question, and can be filled with more than one word or phrase.
Part 2. Example
Article: Homework can put you... | The biggest difficulty in operating on the damaged brain is that _ . | 7 | NIv2 | task649_race_blank_question_generation | fs_opt | [
0.3229687809944153,
0.14159110188484192,
-0.2633759677410126,
-0.18569296598434448,
0.5576600432395935,
-0.40830332040786743,
0.675959587097168,
0.6130704283714294,
0.14462853968143463,
-0.32721859216690063,
-0.2589803636074066,
0.12625963985919952,
-0.33654797077178955,
0.4828237891197204... |
In this task, you need to answer the given multiple-choice question on the general math. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Problem: when toys are grouped into 12 and 18 , always 3 toys remain ungrouped . what is the minimum number of toys to be added so that when they are grouped into 7 , no toys... | c
| 0 | NIv2 | task1420_mathqa_general | fs_opt | [
0.6299625039100647,
-0.10282722115516663,
-1.0784580707550049,
-0.2914404571056366,
-0.002963491715490818,
-0.5583623647689819,
1.0182828903198242,
0.8831796646118164,
-0.6842376589775085,
0.00525464303791523,
-0.30973589420318604,
0.0033912232611328363,
-0.7505425214767456,
-0.45482602715... |
In this task, you are given a text in Catalan. Your task is to classify it into 19 different given themes. Names of all the classes are Society, Politics, Tourism, Health, Economy, Events, Parties, Education, Police, Environment, Parliament, Business, Judicial, European Union, Trade, Culture, Cinema, Government, and Le... | Parliament
| 5 | NIv2 | task1588_tecla_classification | fs_opt | [
0.06938057392835617,
0.5557994842529297,
-0.7933016419410706,
-0.2750106453895569,
0.6065495014190674,
-0.18558743596076965,
0.36407771706581116,
1.055830717086792,
-0.12031199038028717,
0.02464761584997177,
-0.11792102456092834,
0.8106769323348999,
-0.39490842819213867,
-0.055066611617803... |
Detailed Instructions: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.
Problem:Keith found 6 seashe... | 21 | 8 | NIv2 | task867_mawps_multiop_question_answering | zs_opt | [
0.310840904712677,
0.35643237829208374,
-0.6037527322769165,
-0.7655037045478821,
-0.32197290658950806,
-0.01909138448536396,
0.0009823777945712209,
0.03673383966088295,
-0.2966342270374298,
0.12167719751596451,
0.3146146237850189,
0.08143091201782227,
-0.25793027877807617,
0.2354691028594... |
You will be given a definition of a task first, then some input of the task.
The task is to generate text based off of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons intent behind doing the event, i.e. why did the person do th... | to take care of their mom | 1 | NIv2 | task1596_event2mind_text_generation_2 | zs_opt | [
-0.04253216087818146,
0.6074877977371216,
-0.2873513102531433,
-0.12176170945167542,
-0.2547706365585327,
-0.3052164316177368,
0.8206403255462646,
0.6209590435028076,
0.5422443151473999,
0.018256880342960358,
-0.3257763683795929,
-0.46410778164863586,
-0.6395430564880371,
0.110372260212898... |
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
| 0 | NIv2 | task1207_atomic_classification_atlocation | fs_opt | [
-0.07589234411716461,
0.21674726903438568,
0.3677377998828888,
-0.09636379033327103,
-0.5193135142326355,
-0.3339621424674988,
1.0823115110397339,
0.1949150562286377,
-0.5393201112747192,
-0.318196564912796,
-0.44010940194129944,
-0.44490525126457214,
-0.6019588708877563,
0.461818218231201... |
In this task, find the most appropriate number to replace the blank (indicated with _ ) and express it in words.
One example: A lion has _ legs.
Solution is here: four
Explanation: The most logical numeric answer in words is four.
Now, solve this: Children spend an average of _ years in a single parent household.
Solu... | five | 6 | NIv2 | task672_nummersense | fs_opt | [
0.32548487186431885,
0.8281789422035217,
-0.9250519275665283,
-0.5346024036407471,
-0.6554974317550659,
-0.07285496592521667,
0.5674268007278442,
0.07847866415977478,
-0.12534594535827637,
-0.7881932258605957,
-0.1496967077255249,
0.9687021374702454,
-1.1106014251708984,
0.0427452176809310... |
Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content.
Q: Kilogramy rozmnażają się przez pączkowanie 😣😖\n#TłustyCzwartek
A: 0
****
Q: @anonymized_account @anonymized_account @anonymized_account Idź się leczyć sieroto po komunie.
A: 1
*... | 0
****
| 4 | NIv2 | task838_cdt_classification | fs_opt | [
-1.0971415042877197,
0.7525478601455688,
0.2707592844963074,
-0.07287787646055222,
-0.48678725957870483,
-0.18616817891597748,
0.5818237662315369,
-0.047042448073625565,
-0.27344757318496704,
0.0719563364982605,
-0.6861752271652222,
-0.058365873992443085,
-0.6389515399932861,
-0.0504655800... |
In this task if the pronoun is female or gender-neutral you are to replace it with a male pronoun. If there are no pronouns add a male-gendered word to the sentence.
[EX Q]: Hello, how is Samantha doing?
[EX A]: Hello, how is Joshua doing?
[EX Q]: it does right? i travel a lot as a father, do you travel ma?
[EX A]: i... | Cool, what work do you do, baby? I be its fun working from home, beautiful.
| 6 | NIv2 | task1669_md_gender_bias_text_modification | fs_opt | [
-0.44141602516174316,
0.3309084177017212,
-0.4315771758556366,
-0.8135856986045837,
-0.39540815353393555,
-0.23973514139652252,
0.9444679021835327,
0.8619914054870605,
0.5136369466781616,
-0.20978739857673645,
-0.6587680578231812,
0.46477848291397095,
-0.2835652828216553,
-1.06341624259948... |
Detailed Instructions: In this task, you are given a sentence in the Swedish language and a corresponding English translation of the Swedish sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
Problem:Swedish: Därför kräver vi ett djärvt program, och i sådant f... | No | 8 | NIv2 | task314_europarl_sv-en_classification | zs_opt | [
-0.5373287796974182,
1.046865701675415,
0.23823018372058868,
0.07484105229377747,
0.21676459908485413,
-0.5979169011116028,
0.29811570048332214,
0.8399649858474731,
0.26394766569137573,
0.6099298000335693,
0.23389747738838196,
0.49049416184425354,
-0.42454251646995544,
-0.15642428398132324... |
In this task, you're given a context, a question, and three options. Your task is to find the correct answer to the question using the given context and options. Also, you may need to use commonsense reasoning about social situations to answer the questions. Classify your answers into 'A', 'B', and 'C'.
Context: Austi... | C
| 0 | NIv2 | task580_socialiqa_answer_generation | fs_opt | [
0.5295013189315796,
0.016601936891674995,
-0.44969499111175537,
-0.13364972174167633,
-0.2933036983013153,
-0.7058292627334595,
0.3077308237552643,
0.19041012227535248,
-0.030707258731126785,
0.4444466233253479,
0.07311054319143295,
0.039343975484371185,
-0.04216401278972626,
0.02584247663... |
In this task, you need to replace a letter in the sentence with another given letter.
Q: Sentence: 'a bride and a groom look ridiculous as they stuff cake into each other's mouth'. Replace the letter 'd' with 's' in the sentence.
A: a brise ans a groom look risiculous as they stuff cake into each other's mouth
****
Q... | street cormer with stop sigm with smow piles aroumd
****
| 4 | NIv2 | task160_replace_letter_in_a_sentence | fs_opt | [
-0.06591067463159561,
1.3782402276992798,
-0.17024004459381104,
-1.2043510675430298,
0.39426136016845703,
-0.33695778250694275,
0.3281676471233368,
0.32642579078674316,
0.8326711654663086,
-0.39279019832611084,
-0.1536559760570526,
0.2579794228076935,
-0.19100987911224365,
-0.1764122992753... |
In this task, you will be presented with a question and you have to answer the question based on your knowledge. Your answers should be as short as possible.
Input: Consider Input: What is the date when the opponent was the one that have the distinction of winning a World Series championship in every postseason they h... | Output: Anglicized
| 2 | NIv2 | task344_hybridqa_answer_generation | fs_opt | [
-0.45379340648651123,
0.18284079432487488,
-0.4633180499076843,
0.1910238265991211,
-0.6328636407852173,
-0.5933703184127808,
0.7014456391334534,
-0.36466318368911743,
0.5733730792999268,
-0.17456136643886566,
0.053191427141427994,
0.9474050998687744,
-0.07351072132587433,
-0.2593257725238... |
Teacher:In this task, you are given two natural language statements with similar wording. You must choose the statement that makes less sense based on common sense knowledge. A '
' separates the statements. Use "first" or "second" to indicate which sentence makes less sense.
Teacher: Now, understand the problem? Solve ... | second | 6 | NIv2 | task291_semeval_2020_task4_commonsense_validation | zs_opt | [
-0.18791720271110535,
0.16703976690769196,
-0.13907089829444885,
-0.5424509644508362,
-0.011763487011194229,
-0.6944637298583984,
0.03278714790940285,
0.6637865304946899,
0.5314925909042358,
0.04416002705693245,
-0.47110241651535034,
-0.5429657101631165,
-0.1534890979528427,
-0.06482961028... |
Detailed Instructions: 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).
Q: The conversation with Tanisha was horrible.
A: | female | 9 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | zs_opt | [
-0.3628416657447815,
0.5606316924095154,
-0.3020622134208679,
-1.1071888208389282,
-0.45444756746292114,
-0.3820098638534546,
0.2037355601787567,
0.4299671947956085,
0.5140708684921265,
0.7028794884681702,
-1.1016826629638672,
-0.07911758869886398,
-0.573884129524231,
0.4118046760559082,
... |
TASK DEFINITION: Given a sentence in Arabic, generate a new Arabic 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 prob... | يستطيع المستكشف إرسال خريطة إلى مخزن.
| 8 | NIv2 | task414_mickey_ar_sentence_perturbation_generation | fs_opt | [
-0.21198561787605286,
0.11386293172836304,
-0.08774152398109436,
-0.5139120817184448,
-0.6609848737716675,
-0.24110794067382812,
1.6883227825164795,
0.8396474123001099,
0.3379230499267578,
-0.40387970209121704,
-1.422210693359375,
-0.09145256876945496,
-0.9063923358917236,
0.23702071607112... |
In this task, you are given dvd product reviews in German language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Seht der König trägt keine Kleider! . Einer der größten Science Fiction Klassiker beginnt da... | NEG
| 0 | NIv2 | task480_cls_german_dvd_classification | fs_opt | [
0.34850746393203735,
0.49334627389907837,
-0.7132643461227417,
-0.05601981282234192,
0.0931331068277359,
0.3708692193031311,
0.7362218499183655,
0.6149889230728149,
0.013388949446380138,
0.2954193949699402,
-0.31553953886032104,
-0.15014678239822388,
0.021383214741945267,
0.128615140914917... |
Definition: Given a text, write a compressed version of it in a single sentence.
Input: "A front-page Wall Street Journal feature reports that one of the fastest growing job categories in the country is fitness trainer, whose ranks have doubled this decade, to 100,000."
Output: | "A Wall Street Journal feature reports that one of the fastest growing jobs is fitness trainer, whose ranks have doubled to 100,000." | 2 | NIv2 | task1340_msr_text_compression_compression | zs_opt | [
-0.8460695147514343,
0.37472212314605713,
-0.9986116886138916,
-0.10313819348812103,
0.04749583452939987,
0.6787437200546265,
-0.26492005586624146,
0.4403558075428009,
0.8048179149627686,
0.09103702008724213,
-0.775790274143219,
-0.24948617815971375,
-0.24008460342884064,
-0.03378292918205... |
Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
[Q]: In which book of the Bible are the Ten Commandments first mentioned?
[A]: bible
[Q]: Who did boxer Floyd Patterson defeat to regain the Heavyweight Championship in June 1960?
[A]: boxing
... | chianti
| 5 | NIv2 | task899_freebase_qa_topic_generation | fs_opt | [
0.2632901072502136,
0.8368218541145325,
-0.5900563597679138,
0.42830890417099,
-0.7368576526641846,
-1.0975579023361206,
0.8936589956283569,
0.32908010482788086,
0.953850507736206,
-0.354237824678421,
-0.7448242902755737,
0.2675694525241852,
-1.4536833763122559,
0.15571941435337067,
0.76... |
Given the task definition and input, reply with output. In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'.
Dialogue 1: 'im not indian in which univers... | yes | 5 | NIv2 | task518_emo_different_dialogue_emotions | zs_opt | [
-0.6415132284164429,
0.20189708471298218,
0.12054787576198578,
-0.1921747773885727,
-0.8780817985534668,
-0.16033194959163666,
0.8976695537567139,
0.25321516394615173,
0.02159011922776699,
-0.5343156456947327,
-0.08211734145879745,
-0.4431811273097992,
0.013330130837857723,
0.1561007350683... |
Teacher:In this task, you will be given a list of integers. You should remove all of the odd integers from the list(consider 0 an even number). If every integer in the input list is odd then an empty list ("[]") should be returned. Otherwise, answer with the list of even numbers separated by comma inside brackets.
Teac... | [66] | 6 | NIv2 | task369_synthetic_remove_odds | zs_opt | [
-0.7698062658309937,
0.529726505279541,
0.40694886445999146,
-0.664361298084259,
0.033687591552734375,
-0.3647247850894928,
0.8457292318344116,
0.7458023428916931,
0.2219204604625702,
0.22910775244235992,
-0.3023618757724762,
-0.3876045346260071,
-0.07891661673784256,
-0.3209356963634491,
... |
Teacher:In this task, you're given passages that contain mentions of names of people, places, or things. Some of these mentions refer to the same person, place, or thing. Your job is to write questions that evaluate one's understanding of such references. Good questions are expected to link pronouns (she, her, him, his... | What is the first name of the person Piano Trio in G minor was written as a tribute for? | 6 | NIv2 | task001_quoref_question_generation | zs_opt | [
0.8296529650688171,
0.45968684554100037,
-0.5348613262176514,
0.005211567506194115,
0.4901176393032074,
-0.3895871341228485,
1.173976182937622,
0.7119044065475464,
0.4389125108718872,
0.5035641193389893,
0.07841953635215759,
1.0302939414978027,
-0.6948918104171753,
-0.05370759218931198,
... |
Q: You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equally likely to fill the blank. There should be an agreed upon answer to fill ... | PersonX learned to stitch but not PersonY because _ had a jacket with many holes. | 7 | NIv2 | task032_winogrande_question_generation_person | zs_opt | [
0.5886174440383911,
0.8410358428955078,
0.04740530997514725,
-0.34885385632514954,
0.23475050926208496,
-0.39785605669021606,
0.7905372977256775,
0.6542506217956543,
0.21873769164085388,
-0.409786581993103,
0.050031185150146484,
0.008975345641374588,
-0.29984790086746216,
0.341009825468063... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be shown an extract from a movie plot and a question. You need to provide the correct answer for it. Short answers containing words that are present in the passage are preferred.
Corbett stars as Matt Andrews, a geologi... | Answer: Hurricane Katrina | 1 | NIv2 | task194_duorc_answer_generation | zs_opt | [
0.7294010519981384,
0.41501373052597046,
-0.6205543279647827,
0.2848944365978241,
0.04067720100283623,
-0.6586044430732727,
0.09594045579433441,
1.0421807765960693,
-0.4522818624973297,
0.451643705368042,
-0.05106955021619797,
0.2598796486854553,
-0.5836677551269531,
-0.2430102378129959,
... |
In this task, you are given a short passage that conveys stereotype or anti-stereotype about a specific target. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. You are expected to classify the passage into four types of ... | Race | 6 | NIv2 | task280_stereoset_classification_stereotype_type | fs_opt | [
0.013306709937751293,
0.1502288281917572,
0.027706017717719078,
-0.012213930487632751,
0.20397400856018066,
0.09664659202098846,
0.8567240238189697,
0.457864910364151,
0.3386244773864746,
-0.14534927904605865,
-0.768578827381134,
0.06526777148246765,
-0.86949622631073,
0.032719872891902924... |
Given the task definition and input, reply with output. You are given a statement written in Panjabi. 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 .
Statement: ਸੰਸਾਰ ਦੀ ਦੋ ਮਹਾਨ ਨਦੀਆਂ <MASK> ਅਤੇ ਫਰਾਤ ਇਰਾਕ ਨੂ... | ਦਜਲਾ | 5 | NIv2 | task952_wiki_cloze_pa_multiple_choice_question_answering | zs_opt | [
-0.5254820585250854,
0.9195132255554199,
-0.16613687574863434,
-0.13600273430347443,
-0.4166749119758606,
0.3445056974887848,
0.27622532844543457,
-0.19370251893997192,
-0.18835678696632385,
-0.33124369382858276,
-0.7290089130401611,
0.4683288633823395,
-0.7133344411849976,
-0.151960283517... |
Detailed Instructions: 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".
Q: Japanese: 月曜日午後、インドネシアのジャワ島を津波が襲った後、650人以上が現時点で死亡している。
Lao: ການອອກອາກາດມີຂ່າວປະຈຳວັນ ແ... | No | 9 | NIv2 | task1126_alt_ja_lo_answer_generation | zs_opt | [
-0.3080795407295227,
-0.3834556043148041,
0.12040936946868896,
-0.2534998059272766,
-0.2203557789325714,
-1.1691561937332153,
0.3136797547340393,
0.5280256271362305,
-1.2235045433044434,
-0.3343275189399719,
-0.1276816576719284,
-0.003616908797994256,
-0.31962525844573975,
0.64162284135818... |
In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every odd number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no odd numbers in an inner list you shoul... | Solution: [0, -19, -41, -27, 44795, 43, 0, 27, -41, 33] | 5 | NIv2 | task852_synthetic_multiply_odds | fs_opt | [
0.22030137479305267,
-0.42535698413848877,
-0.8641030192375183,
0.028294507414102554,
0.27709174156188965,
-0.2908135950565338,
1.0379395484924316,
0.7393472194671631,
-0.5877225399017334,
-0.049446865916252136,
-1.1600024700164795,
-0.275422066450119,
-0.5048094987869263,
-0.0249815434217... |
In this task you will be given a list of numbers and you should remove all duplicates in the list. If every number is repeated in the list an empty list should be returned. Your list should be numbers inside brackets, just like the given list.
Example: [0,1,0,2,5,1]
Example solution: [2,5]
Example explanation: The only... | Solution: [0] | 5 | NIv2 | task097_conala_remove_duplicates | fs_opt | [
-0.17636080086231232,
0.11728397756814957,
-0.3972570598125458,
-0.20039354264736176,
0.12949080765247345,
-0.1493358612060547,
1.1931564807891846,
0.15062928199768066,
-0.9181329607963562,
0.2966724634170532,
-1.1328157186508179,
-0.6130375862121582,
-0.22525858879089355,
-0.3498170375823... |
Definition: In this task, you're given a context passage, an answer, and a question. Your task is to classify whether the question for this answer is correct or not, based on the given context with commonsense reasoning about social situations. If its correct ,return "True" else "False".
Input: Context: Austin proclaim... | True | 2 | NIv2 | task384_socialiqa_question_classification | zs_opt | [
-0.03469616919755936,
-0.04681398719549179,
0.040421634912490845,
-0.1912732720375061,
-0.1943511962890625,
-0.5131023526191711,
0.5166852474212646,
0.8953453302383423,
0.10833868384361267,
0.09502305090427399,
-0.6952528953552246,
-0.21258269250392914,
-0.27548056840896606,
0.213674619793... |
In this task, you are given a sentence which is either in the Gujarati language or English language. You task is to identify the language of input sentence. Input sentence can be in Gujarari or English language only and also it cannot have two languages at a time.
--------
Question: એક પાર્ક બેન્ચ પર સ્વિચિંગ એક રોમેન્... | Gujarati
| 7 | NIv2 | task441_eng_guj_parallel_corpus_gu-en_language_identification | fs_opt | [
-0.75031977891922,
0.6249579191207886,
0.26850974559783936,
-0.0016248330939561129,
0.0626157820224762,
-0.6860011219978333,
0.13590878248214722,
-0.016642138361930847,
0.17796094715595245,
-0.6810064315795898,
-0.16661638021469116,
0.45709407329559326,
-0.4166482090950012,
-0.081341251730... |
instruction:
In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
question:
[-753, 545, -683, -253]
answer:
[-750, 540, -680, -250]
question:
[-292, 855, 490, -141, 616, -65, -282, 501, -791, -... | [40, -400, 480, 740, -110, 680, -960, -400, 790, -940, -780, -740]
| 9 | NIv2 | task373_synthetic_round_tens_place | fs_opt | [
-0.6405882835388184,
0.5024595260620117,
-0.16045302152633667,
-0.10715332627296448,
-0.37259405851364136,
-0.22692111134529114,
0.7836771011352539,
-0.08682804554700851,
-0.47032928466796875,
0.11394999921321869,
-0.7693915963172913,
0.07615054398775101,
-0.6609551310539246,
0.22882889211... |
In this task, you are given Wikipedia articles on a range of topics, we ask you to write a question based on the content of the articles that can be answered in a binary manner i.e. True or False.
Q: List of Major League Baseball single-game home run leaders -- Writers of Sporting News described hitting four home runs ... | has anyone ever hit 4 homeruns in a major league baseball game | 4 | NIv2 | task1660_super_glue_question_generation | zs_opt | [
0.04956270009279251,
0.32040223479270935,
-1.2683298587799072,
0.4786264896392822,
0.8107415437698364,
0.17629912495613098,
1.1147639751434326,
-0.205516517162323,
-0.3493800759315491,
-0.19883787631988525,
-0.24520868062973022,
0.9483852386474609,
-0.2153216302394867,
-0.8776167631149292,... |
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... | Als je een doctoraat wilt hebben dan moet je er een paar vinden. | 4 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | zs_opt | [
-0.5470187664031982,
1.1976771354675293,
-0.5416920185089111,
-0.24239662289619446,
-0.3409152925014496,
-0.5957354307174683,
0.0028151816222816706,
0.1318902224302292,
0.2551415264606476,
-0.322205513715744,
-0.3997389078140259,
0.6688358783721924,
-0.8152225017547607,
0.32515859603881836... |
You will be given a definition of a task first, then some input of the task.
The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent ... | No | 1 | NIv2 | task357_casino_classification_negotiation_small_talk | zs_opt | [
-0.3177344799041748,
0.7186298966407776,
-0.45838385820388794,
0.14293785393238068,
-0.23573023080825806,
-0.22473403811454773,
0.28953877091407776,
0.5353646874427795,
-0.3085920810699463,
0.10268818587064743,
0.0003192551666870713,
-0.10872648656368256,
-0.5076742768287659,
-0.4716807007... |
TASK DEFINITION: In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
PROBLEM: Context: The... | what will president trump do when congress sends him a healthcare replacement bill?
| 8 | NIv2 | task240_tweetqa_question_generation | fs_opt | [
-0.42195868492126465,
0.5881167650222778,
-0.0032740081660449505,
0.5325480699539185,
0.1593630462884903,
0.029093822464346886,
-0.11100578308105469,
0.24411410093307495,
-0.3390595316886902,
-0.007488722447305918,
-0.009996991604566574,
-0.1951504647731781,
0.20223528146743774,
-0.2675279... |
Teacher:The task is to read a passage and convert numbers in their text forms into digit forms. The text numbers can be used to represent Quantity, Dates and Time, Addresses or Positions.
Teacher: Now, understand the problem? Solve this instance: Oswald apparently started reading about communism when he was about fifte... | Oswald apparently started reading about communism when he was about 15. | 6 | NIv2 | task1704_ljspeech_textmodification | zs_opt | [
0.41645556688308716,
0.7687769532203674,
-0.2879931926727295,
-0.8667532205581665,
-0.5997246503829956,
-0.138632133603096,
0.9080079793930054,
-0.4548042416572571,
0.6061018109321594,
0.23517124354839325,
-0.025786729529500008,
-0.8206655979156494,
-0.520398736000061,
-0.7687231302261353,... |
This task is about identifying the object of a given sentence. The object of a sentence is the person or thing that receives the action of the verb. It is the who or what that the subject does something to. Each sentence in this task is guaranteed to contain a single object. The input is a sentence and the output is th... | 1974 | 4 | NIv2 | task1413_dart_object_identification | zs_opt | [
-1.3045203685760498,
0.9478504061698914,
-0.2842622399330139,
-0.1244126409292221,
-0.13053059577941895,
-0.4633829593658447,
0.6231342554092407,
0.49300694465637207,
0.22482047975063324,
-0.4784082770347595,
-0.8799647092819214,
-0.28606051206588745,
-0.23969927430152893,
0.21240705251693... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen before that sentence, or are likely to have happened before it. Does any of them directly cause it, or simply make it possible? You should write your answer in the form " A >causes/enables> B". Try to u... | Davey says what is on her mind >Causes/Enables> Davey tells me I am fat | 0 | NIv2 | task614_glucose_cause_event_detection | zs_opt | [
0.11289618909358978,
0.20248892903327942,
-0.15027403831481934,
-0.40942490100860596,
-0.3401182293891907,
-0.4153260588645935,
0.3522515296936035,
1.2309341430664062,
0.34004226326942444,
-0.029011234641075134,
-0.7033994197845459,
0.2675134539604187,
-0.4727668762207031,
0.54810404777526... |
Detailed Instructions: In this task, you are given a text which is the body of a document. You are given a question and options. Pick the correct number. Don't generate anything else apart from the numbers provided in options.
Q: Context: Stipple is an Internet technology company founded in 2010 that provides a platfor... | 4 | 9 | NIv2 | task633_dbpedia_14_answer_generation | zs_opt | [
-0.9080104231834412,
0.4661552309989929,
0.4550226330757141,
-0.47127804160118103,
-0.25337958335876465,
-0.05684715509414673,
0.2999836802482605,
0.6193442344665527,
0.31117913126945496,
-0.005687627010047436,
0.08523106575012207,
-0.4338383674621582,
0.01988515816628933,
-0.1277939677238... |
This task is in Spanish. Based on the given context, generate a question which can be answered by the given context. Generate a question that has more than 7 words. You can paraphrase the given context while forming the question.
Suggestion: The question may involve starting question words like WHERE, WHEN, HOW, WHAT ... | ¿Quién ha vinculado al ministro con supuestos casos de extorsión? | 0 | NIv2 | task1335_sqac_question_generation | zs_opt | [
0.5066248178482056,
0.634040355682373,
-0.18492424488067627,
0.3316444754600525,
0.1121315136551857,
0.6774061322212219,
0.44542789459228516,
1.112051010131836,
0.14081797003746033,
-0.3088841438293457,
-0.730196475982666,
0.9321033954620361,
0.04284214973449707,
0.40379005670547485,
-0.... |
In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same length that is the largest across all words in that sentence.
Sentence: 'a toddle... | No | 0 | NIv2 | task114_is_the_given_word_longest | zs_opt | [
-0.21212926506996155,
0.7744845151901245,
0.4151458442211151,
-0.42344728112220764,
-0.2993150055408478,
-0.5501528978347778,
0.404102087020874,
0.4643022418022156,
0.15486377477645874,
-0.5692883133888245,
-0.8604141473770142,
-0.3098921477794647,
-0.4834096431732178,
-0.3168688714504242,... |
Part 1. Definition
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) ... | drafted by | 7 | NIv2 | task1328_qa_zre_relation_generation_from_question | fs_opt | [
0.9575247168540955,
-0.5054219961166382,
-0.9694322943687439,
0.006650732830166817,
0.5808414220809937,
-0.38695695996284485,
0.5292261838912964,
0.03271804749965668,
-0.04185129702091217,
0.46815043687820435,
0.44664013385772705,
0.738257646560669,
-1.3342052698135376,
0.10342466831207275... |
Q: In this task, you're given an article, a question which often contains a blank and four options (associated with "A", "B", "C", "D"). Your task is to find the correct answer (from the given options) for the question from the given article and return one of the options from "A", "B", "C", and "D". Do not generate any... | C | 7 | NIv2 | task309_race_answer_generation | zs_opt | [
0.4758678376674652,
0.2768663763999939,
-0.11280881613492966,
-0.34012043476104736,
0.31791952252388,
-0.23449552059173584,
0.56146240234375,
0.9042246341705322,
-0.1154753789305687,
0.3327042758464813,
-0.0022524071391671896,
0.5588645935058594,
0.04940604418516159,
-0.7714264392852783,
... |
Given the task definition and input, reply with output. In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are fine labels that represent a category of words with similar grammatical properties. The list of p... | FW | 5 | NIv2 | task584_udeps_eng_fine_pos_tagging | zs_opt | [
0.51142418384552,
0.35262906551361084,
-0.2066269814968109,
0.13935649394989014,
-0.07062467932701111,
-0.8262472152709961,
0.6013266444206238,
0.7724753618240356,
-0.49112367630004883,
-0.307734876871109,
-0.25263601541519165,
0.4966191351413727,
-0.3425496518611908,
-0.10321199148893356,... |
Given a statement about date and time, state whether the statement is true or false. The number of date/time operands in the statement ranges between 2 and 3. Let's say the values are denoted by t1, t2 and t3. The statements follow one of the following ten templates: 't1 occurs before t2, t1 doesn't occur before t2, t1... | False
| 7 | NIv2 | task1507_boolean_temporal_reasoning | fs_opt | [
0.44962573051452637,
-0.010075812228024006,
-0.7426507472991943,
0.6205291152000427,
-0.38433629274368286,
-0.8435031175613403,
0.06412339210510254,
0.9292416572570801,
-0.6635115146636963,
-0.053759947419166565,
-0.5426521301269531,
-0.16716459393501282,
-0.19060614705085754,
-0.027146536... |
In this task, you are given a short passage that conveys a stereotype or an anti-stereotype. A stereotype is an over-generalized belief about a particular group of people(based on race, ethnicity, gender, age, abilities, etc.). An anti-stereotype is an idea that goes against a common stereotype. You are expected to cla... | Stereotype | 9 | NIv2 | task316_crows-pairs_classification_stereotype | fs_opt | [
0.1007327288389206,
0.19859281182289124,
0.0017571875359863043,
0.17541122436523438,
-0.20174387097358704,
-0.2854827642440796,
0.4337724447250366,
1.2729768753051758,
0.46355605125427246,
-0.21794657409191132,
-0.5891673564910889,
-0.21276766061782837,
-0.9351795315742493,
-0.149018943309... |
Teacher: A text is given in Bengali. Translate it from the Bengali language to the Oriya language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? If you are still confused, see the following example:
ଏବେ ଦେଖନ୍ତୁ ଏହି 2019ରେ ଅନେକ ସୁଯୋଗ ରହିଛି । ମୁଁ ବୁଝିପାରି... | বর্তমানে যে সমস্ত ক্ষুদ্র ও প্রান্তিক কৃষকের বয়স ১৮ থেকে ৪০ বছরের মধ্যে, তাঁরা সকলেই এই কর্মসূচির সুযোগ-সুবিধা গ্রহণে আবেদন করতে পারবেন। | 2 | NIv2 | task998_pib_translation_oriya_bengali | fs_opt | [
-0.29128000140190125,
1.0356473922729492,
0.14994129538536072,
-0.35581961274147034,
0.021433737128973007,
-0.6629263162612915,
-0.09651248902082443,
0.9070526361465454,
0.13981524109840393,
-0.1658661961555481,
-0.5594387054443359,
-0.5288000106811523,
0.05718754231929779,
-0.273005843162... |
Part 1. Definition
A text is given in Malayalam. Translate it from the Malayalam language to the Telugu language. The translation must not omit or add information to the original sentence.
Part 2. Example
iv) ఆధునిక సాంకేతిక పరిజ్ఞానంతో విత్తన ఉత్పత్తిలో అనుభవాల మార్పిడి;
Answer: iv) വിപുലമായ സാങ്കേതികവിദ്യയുള്ള വിത്ത്... | ചെന്നൈയിലെ കാഞ്ചീപുരം ജില്ലയിലുള്ള തിരുവിടന്താളില്പ്രതിരോധ പ്രദര്ശനത്തിന്റെ 10-ാം പതിപ്പായ ഡിഫ് ഏക്സ്പോ-2018 അദ്ദേഹം ഉദ്ഘാടനംചെയ്യും. | 7 | NIv2 | task1050_pib_translation_telugu_malayalam | fs_opt | [
-0.284364253282547,
0.10030607134103775,
0.19059696793556213,
0.17141622304916382,
0.13788250088691711,
-1.0838515758514404,
0.02512553334236145,
1.183863878250122,
-0.5735119581222534,
0.17147067189216614,
-0.6334972381591797,
-0.37704938650131226,
-0.8834743499755859,
0.4026777744293213,... |
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 kunt de hele auto van een computer zien.
| 6 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | fs_opt | [
-0.4299694001674652,
0.5686589479446411,
-0.09935760498046875,
-0.8542283773422241,
-0.19056436419487,
-0.7626178860664368,
0.37855902314186096,
0.516380786895752,
0.4822944402694702,
-0.5315825939178467,
-0.34410011768341064,
0.605044424533844,
-0.7202562093734741,
0.44981467723846436,
... |
Detailed Instructions: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
Problem:Comment: Always: ... | Threat | 8 | NIv2 | task322_jigsaw_classification_threat | zs_opt | [
-0.4599682688713074,
0.7919362783432007,
0.0037772050127387047,
-0.003677324391901493,
0.10724236071109772,
-0.6862955093383789,
1.034853458404541,
0.9378837943077087,
0.10948505997657776,
0.18756265938282013,
0.26548248529434204,
1.2128560543060303,
-0.7871707677841187,
-0.775004923343658... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
We stopped at a Cracker Barrel.
Output: | Did you stop anywhere on the way? | 1 | NIv2 | task568_circa_question_generation | zs_opt | [
0.4067589044570923,
0.565240740776062,
0.05306527763605118,
0.1301037073135376,
-0.011008964851498604,
-0.5682619214057922,
0.24558749794960022,
-0.1281186044216156,
0.48967689275741577,
0.2530330419540405,
-0.3232884407043457,
-0.34704864025115967,
-0.2625155746936798,
-0.1532716453075409... |
Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating... | Are ghrelin levels increased in alcoholism?
| 0 | NIv2 | task845_pubmedqa_question_generation | fs_opt | [
0.5281784534454346,
-0.18339453637599945,
-0.5219663381576538,
0.08168837428092957,
0.704658031463623,
-0.7278140783309937,
1.214768886566162,
0.9357590675354004,
0.14166748523712158,
0.07866212725639343,
-0.5103192329406738,
0.26791733503341675,
-1.093719244003296,
0.2183230072259903,
-... |
You are given a statement written in Panjabi. 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 .
Statement: ਉਸਦੀ ਪਹਿਲੀ ਪੂਰੀ ਲੰਬਾਈ ਦੀ ਫ਼ਿਲਮ ਨਾਈਫ਼ ਇਨ ਦ ਵਾਟਰ (1962) <MASK> ਵਿੱਚ ਬਣੀ ਸੀ ਅਤੇ ਉਸਨੂੰ ਅਕਾਦਮੀ ਇਨਾਮਾਂ ਵਿੱਚ ... | ਪੋਲੈਂਡ | 0 | NIv2 | task952_wiki_cloze_pa_multiple_choice_question_answering | zs_opt | [
0.34564754366874695,
1.0991610288619995,
-0.01851084642112255,
0.18451416492462158,
0.18952956795692444,
0.1142570823431015,
-0.10881777852773666,
0.16546490788459778,
0.19348596036434174,
0.43169698119163513,
-0.04969741404056549,
-0.28302574157714844,
-0.7618287801742554,
-0.532142162322... |
Q: A text is given in Bengali. Translate it from the Bengali language to the Hindi language. The translation must not omit or add information to the original sentence.
क्या गांव के लोग मिल करके तय करें कि हम अगर पहले पूरे गांव में 50 थैला यूरिया आता था, अब हम 40 थैले से चलाएंगे, 40 बैग से चलाएंगे।
A: | অমুকে যতটা ইউরিয়া মাটিতে মিশিয়েছেন, আমিও মিশিয়ে দিলাম। প্রতিবেশী লালওষুধ দিলে আমিও দিয়ে দিলাম। | 7 | NIv2 | task1010_pib_translation_hindi_bengali | zs_opt | [
-0.2916035056114197,
0.45589306950569153,
-0.41609781980514526,
0.71746426820755,
-0.503835916519165,
-1.6692003011703491,
-0.05930476635694504,
1.0117480754852295,
0.1644696593284607,
-0.07412422448396683,
-0.7210419178009033,
0.31455564498901367,
-0.034620776772499084,
0.3397379815578460... |
You will be given a definition of a task first, then some input of the task.
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 ... | turn right thrice after walk right | 1 | NIv2 | task129_scan_long_text_generation_action_command_short | zs_opt | [
0.10150434076786041,
0.6110019683837891,
-0.501611590385437,
0.3638678193092346,
-0.01431718934327364,
-0.10373255610466003,
0.3296034336090088,
0.4317167103290558,
-0.23394449055194855,
0.00141639425419271,
-0.6418724060058594,
-0.546302080154419,
-0.5693244934082031,
-0.08158233761787415... |
In this task, you are given a sentence in the Swedish language and a corresponding English translation of the Swedish sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
Swedish: Vi måste även konsekvent ge akt på att medlemsstaterna genomför våra riktlinjer i... | Yes | 0 | NIv2 | task314_europarl_sv-en_classification | zs_opt | [
-0.4018546938896179,
0.365127831697464,
0.41787832975387573,
0.25937819480895996,
0.04575321078300476,
-1.1901918649673462,
0.38537824153900146,
0.30408602952957153,
-0.08461873233318329,
0.21098649501800537,
0.188235804438591,
0.40288209915161133,
-0.5660992860794067,
0.46213722229003906,... |
In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
Example Input: What system of belief operated outside of organized religion while still acknowledging a source of creation?, Context: A number of novel ideas about religion developed with the Enlig... | Persian Gulf War
| 3 | NIv2 | task1295_adversarial_qa_question_answering | fs_opt | [
0.6738059520721436,
0.47712242603302,
-0.23680832982063293,
-0.4981229901313782,
-0.003767862915992737,
-0.5595049858093262,
0.966364860534668,
0.6675258874893188,
-0.041726965457201004,
0.09074486792087555,
-0.37026870250701904,
0.5603256225585938,
-1.0009604692459106,
0.03230804577469826... |
You will be given a definition of a task first, then some input of the task.
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 (... | Because they wanted to give their room a different look . | 1 | NIv2 | task024_cosmosqa_answer_generation | zs_opt | [
0.089089035987854,
1.190752387046814,
-0.37626373767852783,
0.4081084132194519,
0.3089612126350403,
-0.44355902075767517,
-0.32731616497039795,
0.7886146306991577,
0.28676721453666687,
-0.3938259780406952,
-0.4271356463432312,
0.42436307668685913,
-0.8307980895042419,
-0.06535185873508453,... |
Part 1. Definition
In this task, you will be presented with a question, a word, and a POS tag. You have to determine whether the part-of-speech tag of the given word in the question is equal to the given POS tag or not. Give your answer with True or False. Here is the Alphabetical list of part-of-speech tags used in th... | False | 7 | NIv2 | task346_hybridqa_classification | fs_opt | [
0.34686344861984253,
0.2382259964942932,
-0.6190410256385803,
0.380401074886322,
-0.08713425695896149,
-0.5899533033370972,
0.7248696684837341,
0.5845069885253906,
-0.32476887106895447,
-0.27115190029144287,
-0.9318892955780029,
0.6774501800537109,
-0.061591070145368576,
-0.025895023718476... |
Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
Example Input: 小さな町パンガンダランのように受けた被害のもっとも大きい地域では、通常に戻り始めていて、そこで多くの事業が再開し始めている。
Example Output: Ang mga lugar na matinding tinamaan, tulad ng malii... | Sa isang pinalabas sa telebisyon na pagtatagubilin sa mga mamamahayag noong Martes sa Pentagon, nanindigan ang Kalihim ng Tanggulan ng U.S. na si Donald Rumsfeld sa ipinalabas na ulat galing sa Pentagon noong Lunes na nagpahayag na nakatawid ang mga pasabog at mga bomba sa Iraq mula sa kabilang border na Iran.
| 3 | NIv2 | task1118_alt_ja_fil_translation | fs_opt | [
0.2528232932090759,
-0.1610487699508667,
-0.2814880609512329,
-0.49659132957458496,
0.44350385665893555,
-0.5152028799057007,
0.9826724529266357,
0.8190687894821167,
-0.5857956409454346,
-0.031111573800444603,
-0.8529961109161377,
0.8008323907852173,
-1.3810362815856934,
0.4625431895256042... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
Musicie zrozumieć, co czują ci ludzie i czego doświadcza ich rodzina kiedy to się dzieje.
Output: | ועליכם להבין מה אנשים הללו חשים ומה עוברת המשפחה שלהם כאשר זה קורה. | 1 | NIv2 | task1260_ted_translation_pl_he | zs_opt | [
-1.0690728425979614,
0.5799359083175659,
-0.05201784521341324,
0.030072974041104317,
0.07473098486661911,
0.19469182193279266,
1.29402494430542,
-0.010401356965303421,
0.750803530216217,
-0.21679627895355225,
-0.24581021070480347,
0.08765165507793427,
-0.4787149429321289,
0.111865237355232... |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Let me give you an example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https:... | false | 8 | NIv2 | task905_hate_speech_offensive_classification | fs_opt | [
-1.2470875978469849,
0.35066208243370056,
0.8414829969406128,
0.20094574987888336,
-0.44425278902053833,
-1.0648736953735352,
0.2698419690132141,
0.5853137969970703,
0.22308014333248138,
0.49775928258895874,
0.10920755565166473,
-0.07506492733955383,
-1.2017782926559448,
-0.663603007793426... |
Given the task definition and input, reply with output. 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 e... | She no longer had feelings for me . | 5 | NIv2 | task024_cosmosqa_answer_generation | zs_opt | [
-0.49349716305732727,
1.018294095993042,
0.017420684918761253,
0.3686528503894806,
-0.06493137776851654,
-0.3153980076313019,
0.3021796941757202,
0.05030360817909241,
0.3422715365886688,
-0.5195906162261963,
-0.6856180429458618,
-0.008864859119057655,
-0.2984318733215332,
0.031824361532926... |
In this task, you will be presented with a question in Dutch language, and you have to write the location names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Identifier used for the location name - LOC. . There can be instances with no location name entity, then retur... | Solution: Amsterdam: B-LOC | 5 | NIv2 | task1546_conll2002_location_name_extraction_answer_generation | fs_opt | [
0.4280381202697754,
0.23213142156600952,
-0.22008992731571198,
0.1289876103401184,
-0.22969919443130493,
-0.20227912068367004,
0.6794547438621521,
-0.10394167900085449,
0.7857617139816284,
-0.4592258930206299,
-0.6534965634346008,
0.9179031848907471,
-0.33853209018707275,
0.085326343774795... |
In this task, you need to replace a letter in the sentence with another given letter.
Let me give you an example: Sentence: 'group of motorcycle motorists trying to merge into traffic'. Replace the letter 'o' with 'n' in the sentence.
The answer to this example can be: grnup nf mntnrcycle mntnrists trying tn merge int... | street cormer with stop sigm with smow piles aroumd | 8 | NIv2 | task160_replace_letter_in_a_sentence | fs_opt | [
-0.37642019987106323,
0.5995230078697205,
-0.07872018218040466,
-0.8575351238250732,
0.37621641159057617,
-0.42256009578704834,
-0.3234183192253113,
0.5235708951950073,
0.34245502948760986,
-0.11201833188533783,
-0.5462150573730469,
-0.2005234956741333,
-0.3881784677505493,
-0.496416598558... |
instruction:
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Spanish.
question:
ما یه درس از IDEO یکی از شرکتهای مورد علاقه ام گرفتیم و به سرعت یه نمونه از این مدل اقتصادی ساختیم و ژاکلین رو به منطقه ای که زندگی میکرد بردیم
answer:
Tomamos una lección de IDEO, una de nuestras compa... | Elección. Todos Uds. compran online, comparan, lo hacen todo online, y sin embargo esta revolución apenas ha tocado la superficie de los servicios públicos como la educación, la sanidad, o la política, y van a ver extenderse este cambio ampliamente.
| 9 | NIv2 | task1267_ted_translation_fa_es | fs_opt | [
-1.0409281253814697,
0.6998368501663208,
0.28606510162353516,
-0.7323620915412903,
-0.5520176291465759,
0.20448751747608185,
0.9317296743392944,
0.9694352149963379,
0.15964137017726898,
-0.0985504686832428,
-0.47359663248062134,
0.052197281271219254,
-0.271759569644928,
-0.1581561267375946... |
Teacher: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
Teacher: Now, understand the problem? Solve this instance: 3, ['631', 'l', '7119', 'R', '2215'... | 631, l, 7119 | 6 | NIv2 | task063_first_i_elements | zs_opt | [
-0.643438458442688,
0.6334003210067749,
-0.2523900270462036,
-0.8560785055160522,
-0.7358744144439697,
0.0030739172361791134,
0.2746633291244507,
0.45555517077445984,
-0.8041476607322693,
-0.5086860656738281,
-1.1322301626205444,
-0.3187772333621979,
-0.06734815239906311,
-0.43232804536819... |
Given the task definition and input, reply with output. Given a sentence in Spanish, generate a new Spanish 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 plau... | El proceso de bailar es beber demasiado. | 5 | NIv2 | task417_mickey_es_sentence_perturbation_generation | zs_opt | [
-0.14600391685962677,
1.1099733114242554,
0.1510191559791565,
-0.08203407377004623,
-0.009555552154779434,
-0.04118127003312111,
0.18456317484378815,
1.7259316444396973,
-0.12488138675689697,
-0.46228036284446716,
-0.7658253908157349,
0.2260439246892929,
-0.721430778503418,
0.0600143000483... |
Detailed Instructions: In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them.
Problem:A daily crawl of more than 200,000 home pages of news sites, including the pages linked from those home pages. Site list provided by The GDELT Project
These cr... | The village of Dixville Notch is notable not just for the fact that it only has nine registered voters, but for the fact that those voters also are the first in New Hampshire to state their choice in today's primary. Their nine ballots were cast one minute after midnight—unincorporated towns that claim less than 100 re... | 8 | NIv2 | task1291_multi_news_summarization | zs_opt | [
0.5501439571380615,
-0.27681776881217957,
-0.15936940908432007,
0.6923055648803711,
0.3324212431907654,
-0.25836363434791565,
0.9507906436920166,
0.7383018732070923,
-0.3783993721008301,
0.500187873840332,
-0.16436928510665894,
0.8048030138015747,
-0.3102209270000458,
-0.11208166182041168,... |
In this task, you are given a sentence which is either in the Hindi language or English language. You task is to identify the language of input sentence. Input sentence can be in Hindi or English language only and also it cannot have two languages at a time.
Input: Consider Input: गुफा संख़्या 11 और 12 सातवीं सदी की ह... | Output: English
| 2 | NIv2 | task427_hindienglish_corpora_hi-en_language_identification | fs_opt | [
0.10829420387744904,
0.451468825340271,
0.11392919719219208,
0.2582210898399353,
-0.11162497103214264,
-0.6358277797698975,
-0.14566853642463684,
0.3155437111854553,
-0.5779699087142944,
-0.5102013349533081,
-0.18357977271080017,
0.48891234397888184,
-0.24595141410827637,
-0.20355224609375... |
Q: In this task, you are given books product reviews in English 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.
academic, funny, balanced . it isn't al franken, michael moore, anne coulter or michell... | POS | 7 | NIv2 | task476_cls_english_books_classification | zs_opt | [
-0.5371129512786865,
-0.043010130524635315,
0.46811145544052124,
-0.06003131717443466,
0.4239599108695984,
-0.4938756823539734,
0.850257158279419,
0.8140523433685303,
0.09280457347631454,
0.183352530002594,
-0.5007758736610413,
-0.36621183156967163,
-0.3611907362937927,
-0.3229406476020813... |
In this task, you are given a post in English from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it should be labeled as... | Non-hateful | 0 | NIv2 | task333_hateeval_classification_hate_en | zs_opt | [
-0.42891013622283936,
0.0695311576128006,
0.3669913113117218,
0.7725616693496704,
0.0015240141656249762,
-0.862539529800415,
0.21691974997520447,
0.649215579032898,
0.43751490116119385,
0.5333095192909241,
0.15808925032615662,
-0.29131558537483215,
-0.2091534584760666,
-0.783949077129364,
... |
Instructions: In this task, given a sentence in the English language, your task is to convert it into the Khmer language.
Input: Newcomer of the month is "Wikibooks Pokédex", with 337 edits by mainly one user, followed by "Programming:Ada" (320 edits).
Output: | សៀវភៅដែលចេញថ្មីក្នុងខែនេះគឺ "សៀវភៅវិគី ផូគេឌិច" ដោយមានការកែសម្រួលចំនួន 337 ពីអ្នកប្រើប្រាស់តែម្នាក់ជាចម្បង បន្ទាប់មកគឺ "ការបង្កើតកម្មវិធីកំព្យួទ័រ: អាដា" (ការកែសម្រួលចំនួន 320)។ | 3 | NIv2 | task555_alt_translation_en_kh | zs_opt | [
0.2625236511230469,
-0.1878858208656311,
-0.3725130558013916,
-1.5713342428207397,
-0.07929715514183044,
-0.8645929098129272,
0.6878985166549683,
-0.0411742702126503,
0.4744749665260315,
-0.3251219093799591,
-0.23288746178150177,
-0.5372836589813232,
-0.374644935131073,
-0.3230785131454468... |
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