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 |
|---|---|---|---|---|---|---|
Q: In this task, you're given a context, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both context and link information to create th... | What town did W. J. MacQueen-Pope attend private school in? | 7 | NIv2 | task235_iirc_question_from_subtext_answer_generation | zs_opt | [
-0.3042064905166626,
1.0090842247009277,
0.7343147397041321,
-0.3550128638744354,
0.5385538339614868,
-0.868464469909668,
-0.40806159377098083,
0.34195971488952637,
-0.024926360696554184,
-0.2508266866207123,
-0.14640407264232635,
0.2945357859134674,
-0.9078679084777832,
-0.238064065575599... |
Write a correct answer for the question. You should reason about prototypical situations and provide the correct answer. Avoid answers that provide incomplete justification for the question.
name something you see or hear that reminds you of an ex
song
although it was nice to be a kid, name a part of childhood you'd ... | getting in a fight
| 0 | NIv2 | task820_protoqa_answer_generation | fs_opt | [
-0.14659437537193298,
1.2654026746749878,
-0.547399640083313,
-0.17441274225711823,
-0.6898471713066101,
-0.7763611078262329,
1.1680166721343994,
0.5698572993278503,
0.10805928707122803,
-0.03693654015660286,
-0.15487277507781982,
0.08887453377246857,
-0.8771809935569763,
-0.10347820073366... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the coreference link with gendered pronouns and the other's gender is unidentifiable. You are expected to return... | Identifiable | 1 | NIv2 | task350_winomt_classification_gender_identifiability_pro | zs_opt | [
-0.7895064949989319,
0.6425087451934814,
-0.43545466661453247,
-0.27360522747039795,
0.24044430255889893,
0.24526499211788177,
0.0978514552116394,
0.6347824335098267,
0.23319409787654877,
0.10116297006607056,
-0.49974897503852844,
0.39323437213897705,
-0.3544997572898865,
-0.15830160677433... |
Q: In this task you will be given a list of integers. You should remove any integer that is not prime. A prime integer is an integer that is only divisible by '1' and itself. The output should be the list of prime numbers in the input list. If there are no primes in the input list an empty list ("[]") should be returne... | [269, 251, 233] | 7 | NIv2 | task366_synthetic_return_primes | zs_opt | [
-0.25583416223526,
0.498240202665329,
-0.31602251529693604,
-0.4026033282279968,
-0.03202589601278305,
-0.3937203288078308,
0.4422904849052429,
0.6728068590164185,
0.14064407348632812,
0.3105083107948303,
-1.0665333271026611,
-0.44572168588638306,
-0.1856372356414795,
-0.4957609176635742,
... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the letters E, C, and N respectively.
One example ... | C | 9 | NIv2 | task190_snli_classification | fs_opt | [
-0.38206663727760315,
-0.09243461489677429,
0.8245187401771545,
-0.05599483847618103,
0.39995667338371277,
-1.4446730613708496,
-0.4529837965965271,
0.7204229831695557,
0.12703770399093628,
0.30953264236450195,
-0.4407499134540558,
-0.5286364555358887,
-0.33273088932037354,
-0.689849376678... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Hebrew.
Q: Vivemos numa galáxia, a Via Láctea.
A: אנו חיים בגלקסיה, גלקסיית שביל החלב.
****
Q: Todos podemos mudar o mundo.
A: כולנו יכולים לשנות את העולם.
****
Q: Este é o Coronel Picquart.
A: | זהו קולונל פיקאר
****
| 4 | NIv2 | task1278_ted_translation_pt_he | fs_opt | [
-0.7849056720733643,
0.6540732979774475,
0.7768540382385254,
-0.3354448974132538,
-0.2759389281272888,
-0.42479485273361206,
-0.12860682606697083,
0.11280637979507446,
0.7486494779586792,
-0.02728528529405594,
-0.49827340245246887,
-0.24595524370670319,
-0.8375997543334961,
0.2890361845493... |
Teacher: In this task, given 2 input sentences, you must classify the relation between them. If the second sentence has a similar meaning to that of the first sentence then the output is ' B_entails_A', if the second sentence has the opposite meaning to the first sentence then it is classified as ' B_contradicts_A'. If... | B_entails_A | 2 | NIv2 | task1615_sick_tclassify_b_relation_a | fs_opt | [
-0.40586763620376587,
0.20790579915046692,
-0.4056095778942108,
-0.8410563468933105,
0.04842830449342728,
-0.3874548673629761,
-0.012796847149729729,
0.9168034195899963,
-0.11088041216135025,
-0.17851172387599945,
-0.5524996519088745,
-0.044179804623126984,
-0.08860500901937485,
-0.5297584... |
In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language.
Ex Input:
O bicicletă argintie este parcată într-o sufragerie.
Ex Output:
A silver bicycle is parked in a living room.
Ex Input:
Bărbatul bagă puiul într-un recipient.
Ex Outpu... | A man on a bike nest to a river.
| 1 | NIv2 | task1435_ro_sts_parallel_language_translation_ro_to_en | fs_opt | [
-0.8643598556518555,
0.4982959032058716,
-0.4018332362174988,
0.5187392830848694,
-0.3468610942363739,
-0.41013020277023315,
0.7162429094314575,
1.0369617938995361,
0.8059864044189453,
0.060860857367515564,
-0.10341288149356842,
0.9339371919631958,
-0.42682212591171265,
0.11323439329862595... |
In this task, you need to count the number of vowels (letters 'a', 'e', 'i', 'o', 'u') / consonants (all letters other than vowels) in the given sentence.
Example input: Sentence: 'a white cat on a desk near a computer monitor'. Count the number of vowels in the given sentence.
Example output: 16
Example explanation: ... | 20 | 3 | NIv2 | task157_count_vowels_and_consonants | fs_opt | [
0.3118881583213806,
0.4661007523536682,
-0.9539479613304138,
-0.5955638885498047,
0.0705692395567894,
0.15442410111427307,
-0.23518657684326172,
0.7800111770629883,
0.283377081155777,
-0.10904575139284134,
0.19019535183906555,
0.06927625834941864,
-0.19963911175727844,
-0.09480413794517517... |
In this task, you will be shown a Persian passage and question. You need to write a answer for the question. Try to keep your answers as short as possible.
Input: Consider Input: اهواز یکی از کلانشهرهای ایران است، که در بخش مرکزی شهرستان اهواز قرار دارد و از سال ۱۳۰۳ تا کنون بهعنوان مرکز استان خوزستان شناخته میشود.... | Output: اولین خمیردندان با کارآزمایی بالینی در سال ۱۹۵۵ با برند کرست به بازار عرضه شد.
| 2 | NIv2 | task395_persianqa_answer_generation | fs_opt | [
1.0701345205307007,
0.4622332453727722,
-0.3970106840133667,
-0.48042723536491394,
0.5827096700668335,
-0.4555969834327698,
0.43402111530303955,
0.783112645149231,
0.12013155221939087,
0.32650989294052124,
-0.43470054864883423,
0.7978674173355103,
-0.004061763174831867,
-0.0592965148389339... |
In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify this question-answer pair into two categories: (1) "yes" if the given answer is right for question, and (2) "no" if the given answer is wrong for question.
Q: Context: My thoughts are with Rima ... | no
****
| 4 | NIv2 | task241_tweetqa_classification | fs_opt | [
-0.4425809979438782,
0.2160535454750061,
0.20329011976718903,
0.6614588499069214,
-0.09700696170330048,
-0.6601245403289795,
0.5951132774353027,
0.38884931802749634,
-0.13351839780807495,
-0.3432054817676544,
-0.41568952798843384,
-0.04767845198512077,
-0.6307417750358582,
0.59706240892410... |
Teacher: In this task you are expected to provide an SQL statement from an english description of what that SQL statement does. The description may include multiple steps but you should only ouput one SQL statement that accomplishes every step. An SQL query works by selecting data from a table where certain conditions ... | SELECT characteristic_name FROM Characteristics GROUP BY characteristic_data_type ORDER BY Count ( * ) Desc LIMIT 1 | 2 | NIv2 | task077_splash_explanation_to_sql | fs_opt | [
0.636322021484375,
0.43379542231559753,
-1.0731176137924194,
0.791252613067627,
-0.0651032030582428,
-0.4069654941558838,
0.7166641354560852,
1.0947811603546143,
-0.4598473608493805,
0.18678224086761475,
0.6223587989807129,
0.353041410446167,
0.03454142436385155,
0.1788964569568634,
0.19... |
In this task, you are given a review of product in Polish language and a question whether this review has positive sentiment. You are expected to generate the answer. The output should be "Yes" or "No". Don't generate anything apart from "Yes", "No".
Input: Consider Input: Text: Nie polecam tego produktu. Nazwa silky ... | Output: No
| 2 | NIv2 | task635_allegro_reviews_answer_generation | fs_opt | [
-0.41754788160324097,
0.47051507234573364,
-0.31784844398498535,
0.28916314244270325,
0.6088482141494751,
-0.7367033958435059,
0.4080352783203125,
0.9111229777336121,
0.18697001039981842,
0.7465286254882812,
0.40506768226623535,
0.8652255535125732,
0.019149919971823692,
0.517973780632019,
... |
Detailed Instructions: This task is to translate the Telugu Language Input to English Language Output
Problem:నేడు $ 25 కొనుగోలు !!
Solution: | Buy today $200 OFF!! | 8 | NIv2 | task1617_cc_alligned_translate_tel_eng | zs_opt | [
-0.46029746532440186,
0.2327985167503357,
0.367507666349411,
0.3824694752693176,
0.1457001119852066,
-0.0289398655295372,
0.04511065036058426,
0.48040297627449036,
0.10636232048273087,
-0.4058901071548462,
0.18756188452243805,
0.20980799198150635,
-0.9515959024429321,
-0.47541937232017517,... |
Teacher: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... | Yes | 6 | NIv2 | task1197_atomic_classification_oreact | zs_opt | [
0.08155521750450134,
0.16486670076847076,
0.38755562901496887,
-0.3287103772163391,
-0.1992907077074051,
-1.2341583967208862,
1.3611160516738892,
0.23103947937488556,
-0.459383487701416,
-0.5435562133789062,
-0.13691583275794983,
0.04125185310840607,
-0.8570646047592163,
0.2665073871612549... |
Instructions: A text is given in Marathi. Translate it from the Marathi language to the Panjabi language. The translation must not omit or add information to the original sentence.
Input: दावोसला तुम्ही देखील गेला होतात, दावोसला आम्ही देखील गेलो होतो.
Output: | ਦਾਵੋਸ ਵਿੱਚ ਤੁਸੀਂ ਵੀ ਗਏ ਸੀ, ਦਾਵੋਸ ਵਿੱਚ ਅਸੀਂ ਵੀ ਗਏ ਸਾਂ। ਲੇਕਿਨ ਤੁਸੀਂ. | 3 | NIv2 | task1029_pib_translation_marathi_punjabi | zs_opt | [
0.5563783645629883,
1.175588846206665,
-0.5351192951202393,
0.31632426381111145,
-0.29541873931884766,
-1.1685287952423096,
1.0332667827606201,
0.07339082658290863,
0.7095553874969482,
0.8448362350463867,
-0.4767448306083679,
-0.008764810860157013,
-0.5418312549591064,
0.16992822289466858,... |
Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You ... | Yes | 3 | NIv2 | task1214_atomic_classification_xwant | zs_opt | [
0.07113955914974213,
0.5591849088668823,
0.6938310861587524,
-0.724609911441803,
-0.49552345275878906,
-0.6643235683441162,
1.22886323928833,
-0.1537514477968216,
-0.8108667135238647,
-0.8924316763877869,
-0.17340673506259918,
-0.8735533952713013,
-0.6964331865310669,
0.4377138614654541,
... |
You will be given a definition of a task first, then some input of the task.
Given a scientific question, generate a correct answer to it.
How do the male gorillas show display behaviors?
Output: | showing aggression | 1 | NIv2 | task591_sciq_answer_generation | zs_opt | [
-0.5329282283782959,
0.833042323589325,
-0.13104471564292908,
-0.6643933653831482,
-0.9950061440467834,
0.11125575006008148,
-0.46587830781936646,
0.2834892272949219,
-0.31996873021125793,
-0.7382292747497559,
-0.6956169605255127,
-0.40876197814941406,
-0.9293261766433716,
-0.3993027806282... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words.
Example: We propose a local coherence model based on a convolutional neural network that op... | Context-Aware Prediction of Derivational Word-forms | 1 | NIv2 | task1540_parsed_pdfs_summarization | fs_opt | [
-0.16944259405136108,
0.7575183510780334,
0.19190631806850433,
0.5198268890380859,
0.12489550560712814,
0.07903067022562027,
1.1395937204360962,
0.623082160949707,
-0.1634318232536316,
0.023847077041864395,
-0.11088252067565918,
0.19774506986141205,
-0.7049504518508911,
0.2642841935157776,... |
In this task, a passage will be given and the goal is to generate a question about temporal relations based on that passage. A temporal relation describes the relation between two things with respect to time e.g., something happens/starts/terminates/... immediately/shortly/usually/... before/after/during/... something ... | What event has already finished?
| 3 | NIv2 | task389_torque_generate_temporal_question | fs_opt | [
0.04274742677807808,
0.2970656156539917,
-0.32494473457336426,
0.10448934137821198,
0.06127326190471649,
-0.23497267067432404,
0.35556256771087646,
1.2447185516357422,
-0.27019309997558594,
0.5848259329795837,
-0.43920084834098816,
0.09005245566368103,
-0.1617300808429718,
0.08657884597778... |
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 to do what happens in that sentence? You should write your answer in the form... | Solution: Franklin want(s) to mail the envelope >Motivates> Franklin mails the envelope | 5 | NIv2 | task747_glucose_cause_emotion_detection | fs_opt | [
0.36831292510032654,
0.18620920181274414,
-0.38561397790908813,
0.35655736923217773,
-0.40807127952575684,
-1.588357925415039,
0.6904760003089905,
0.29732510447502136,
-0.35510700941085815,
-0.3663732409477234,
-0.2991752624511719,
0.2582298517227173,
-0.101224884390831,
-0.048727415502071... |
This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, object] are similar to each other. The input is a list of... | SIMILAR
| 7 | NIv2 | task1408_dart_similarity_classification | fs_opt | [
-0.3618602752685547,
0.01619850844144821,
0.20756621658802032,
-0.11456046253442764,
0.10323601961135864,
-0.19545143842697144,
1.0770745277404785,
0.6889232397079468,
-0.3507891297340393,
-0.014640632085502148,
0.005428558215498924,
-0.23593226075172424,
-0.7527142763137817,
-0.1452267915... |
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.
Q: [4, 2, 1, 6, 6, 7]
A: | [4, 2, 1, 7] | 4 | NIv2 | task097_conala_remove_duplicates | zs_opt | [
-0.06633052974939346,
1.2994918823242188,
-0.22868850827217102,
-0.6461814641952515,
-0.045351408421993256,
-0.6890561580657959,
1.1073384284973145,
-0.6972633600234985,
-0.6357508897781372,
-0.3305659890174866,
-0.8520325422286987,
-0.009367035701870918,
-0.2940312325954437,
-0.1870878636... |
Given the task definition and input, reply with output. You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Portugese.
أرغب في الاعتقاد أنّ بولي كان محقّا.
| Eu quero acreditar que o Paulie estava certo. | 5 | NIv2 | task1109_ted_translation_ar_pt | zs_opt | [
0.2669788897037506,
1.0051988363265991,
0.12597498297691345,
0.07271519303321838,
-1.2897884845733643,
-0.3992483913898468,
0.5363340973854065,
0.10187201201915741,
1.128194808959961,
-0.8282928466796875,
-0.8242536783218384,
0.6825203895568848,
-0.4039207696914673,
0.04301648586988449,
... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronoun... | The girl sat on the swing. | 9 | NIv2 | task189_snli_neutral_to_contradiction_text_modification | fs_opt | [
-0.42035287618637085,
0.33076223731040955,
0.7015145421028137,
-0.6476427316665649,
0.19691511988639832,
-0.9004217982292175,
-0.6431838274002075,
0.6404474973678589,
0.1008201539516449,
-0.3324090242385864,
-0.8899917602539062,
-0.45588743686676025,
-0.6613091230392456,
-0.235856831073761... |
In this task, you are given two strings A, B. Find the longest common substring in the strings A and B.
One example is below.
Q: PPdQTlHHTJEe, DydQTlHHVnmlLu
A: dQTlHH
Rationale: Here, 'dQTlHH' is the longest common substring in both the input strings 'PPdQTlHHTJEe' and 'DydQTlHHVnmlLu'.
Q: dEEBlIqzKPT, tDBlIqCHza
A: | BlIq | 9 | NIv2 | task600_find_the_longest_common_substring_in_two_strings | fs_opt | [
0.12323177605867386,
1.5759508609771729,
-0.2748463451862335,
-0.4346666634082794,
-0.5925232172012329,
-0.8551403284072876,
0.527657151222229,
-0.8572124242782593,
-0.03056516870856285,
-0.3755630850791931,
-0.6630290746688843,
-0.4357856512069702,
-0.16032415628433228,
0.7039698362350464... |
Teacher: Translate the given Spanish text to English
Teacher: Now, understand the problem? If you are still confused, see the following example:
A method for converting a series of m-bit information words to a modulated signal is described.
Solution: Se describe un método para convertir una serie de palabras de informa... | Método y aparato para el registro de estructuras ópticas difractivas. | 2 | NIv2 | task840_para_pdt_en_es_translation | fs_opt | [
-0.16940993070602417,
0.10053011029958725,
0.5857731699943542,
-0.20836180448532104,
0.45245441794395447,
-1.0067825317382812,
-0.005913957953453064,
0.9790245294570923,
0.7973434329032898,
-0.27107322216033936,
0.040718525648117065,
0.23071910440921783,
-0.0342593751847744,
-0.15918703377... |
In this task, you are given a question and an answer. Answer "Yes" if the given answer correctly answers the question, otherwise answer "No".
how big are baby zebras when born, Answer: They are generally social animals that live in small harems to large herds . | No | 0 | NIv2 | task1294_wiki_qa_answer_verification | zs_opt | [
0.17842796444892883,
1.0101960897445679,
-0.12888142466545105,
0.28225719928741455,
-1.0970160961151123,
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0.43406516313552856,
-0.6197967529296875,
-0.4589681029319763,
-0.7068538665771484,
-0.16556963324546814,
0.6307733058929443,
-1.3614403009414673,
-0.178675815463066... |
instruction:
In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that does not connect with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick t... | a
| 9 | NIv2 | task214_rocstories_incorrect_ending_classification | fs_opt | [
0.12304748594760895,
0.30718040466308594,
-0.21552057564258575,
-0.21475134789943695,
0.029861174523830414,
-0.4081290066242218,
0.33056753873825073,
1.115478277206421,
-0.5917860269546509,
0.5401496887207031,
-0.4669284224510193,
-0.10264188796281815,
0.33232802152633667,
-0.2164551019668... |
In this task, you are given two sentences. Your task is to classify the given sentences as "Yes" if they have same meaning; otherwise, classify them as "No".
Let me give you an example: Sentence-1: I'm looking forward to it.<sep>Sentence-2: I did hear about the event next week .
The answer to this example can be: Yes... | No | 8 | NIv2 | task566_circa_classification | fs_opt | [
-0.28451794385910034,
0.4285787343978882,
-0.14631688594818115,
0.2838955223560333,
-0.2537652254104614,
-0.5091797113418579,
0.3913748264312744,
0.5201815962791443,
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-0.198161780834198,
-0.0052229249849915504,
-0.595946192741394,
-0.1326583921909332... |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the ev... | Yes | 9 | NIv2 | task1202_atomic_classification_xneed | zs_opt | [
0.45549824833869934,
0.5548692941665649,
0.05571143329143524,
-0.341518759727478,
-0.5183742046356201,
-0.6699839234352112,
1.1790657043457031,
0.3410038352012634,
-0.5145273208618164,
-0.6651501655578613,
-0.44677287340164185,
-0.29499882459640503,
-1.0197203159332275,
0.44579875469207764... |
Part 1. Definition
In this task you are given a statement and an explanation giving you further knowledge about an entity in the statement. You must judge whether the statement is true or false based on the explanation. Label an instance as "True" if the explanation confirms the statement or doesn't disprove it. Label ... | True | 7 | NIv2 | task403_creak_commonsense_inference | fs_opt | [
-0.07051591575145721,
0.6986833214759827,
-0.2920716106891632,
0.4626551866531372,
-0.4118956923484802,
-0.9888172149658203,
0.4204041659832001,
0.4324631690979004,
0.09322203695774078,
-0.3661377727985382,
-0.2870461940765381,
0.09548239409923553,
-0.34234970808029175,
0.14148235321044922... |
Instructions: In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to determine which two sentences need to be swapped sentences in order to make a story that makes complete sense and is befittingly titled. Indicate your answer using the numbers of the two sent... | 51 | 3 | NIv2 | task218_rocstories_swap_order_answer_generation | zs_opt | [
-0.4390002191066742,
0.5444368124008179,
-0.04054661840200424,
-0.5113865733146667,
-0.34931981563568115,
0.40636134147644043,
0.5974793434143066,
0.5099901556968689,
0.4163348078727722,
-0.2586735486984253,
-0.3104390501976013,
-0.40484619140625,
-1.0137913227081299,
0.1370110660791397,
... |
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: political or non-political depending on the top... | non-political
****
| 4 | NIv2 | task1491_bengali_political_hate_speech_binary_classification | fs_opt | [
-0.4911641478538513,
-0.07477255910634995,
0.4833451509475708,
0.5251559019088745,
-0.34973233938217163,
0.33298563957214355,
0.003518424928188324,
0.4696856737136841,
-0.27112913131713867,
-0.011603989638388157,
-0.5185039043426514,
-0.2726486921310425,
0.24136918783187866,
-0.42471933364... |
You are given a question-answer pair. Answer with their type. Pay attention that there may be more than one correct type, but you only have to choose one. In your responses, use of the following types:
(1) Humans: Any individual or group of humans, including fictional ones (e.g., a group or organization of persons , a... | Solution: Entity. | 5 | NIv2 | task046_miscellaneous_question_typing | fs_opt | [
0.8861593008041382,
-0.06569544225931168,
-0.34923478960990906,
0.35073259472846985,
0.04110212251543999,
-0.7814505100250244,
0.9831709861755371,
0.8720721006393433,
-0.44846832752227783,
-0.18818804621696472,
-0.5366272330284119,
0.4245728850364685,
-0.4747026264667511,
0.187858939170837... |
In this task, you are given a sentence in Spanish and your task is to translate it into English. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
A nuestros ojos está claro que la izquierda del Parlamento Europeo, unida a la izquierda austríaca, derrotada ... | In our opinion, it is clear that the left wing in the European Parliament, in association with the Austrian left wing which was defeated in the electoral arena, have mounted a petty political campaign resorting to the memory of a sinister but fortunately bygone period. | 0 | NIv2 | task531_europarl_es_en_translation | zs_opt | [
0.033065833151340485,
0.9716237187385559,
0.19566936790943146,
-0.1834353804588318,
-0.441932737827301,
-0.8632540106773376,
0.8622801899909973,
0.7238296270370483,
0.43005555868148804,
0.3880920708179474,
-0.3824094533920288,
-0.10031410306692123,
-0.045390792191028595,
-0.230339184403419... |
In this task, you need to replace a letter in the sentence with another given letter.
Example: Sentence: 'group of motorcycle motorists trying to merge into traffic'. Replace the letter 'o' with 'n' in the sentence.
Example solution: grnup nf mntnrcycle mntnrists trying tn merge intn traffic
Example explanation: The le... | Solution: a bed room with a neatlb made bed | 5 | NIv2 | task160_replace_letter_in_a_sentence | fs_opt | [
0.14996817708015442,
0.6944094300270081,
-0.4573418200016022,
-0.7635147571563721,
0.2595141530036926,
-0.627410888671875,
0.04954437538981438,
0.15808840095996857,
0.4062679409980774,
-0.34710413217544556,
-0.7523616552352905,
-0.07256191968917847,
-0.4239603281021118,
-0.644061267375946,... |
Given the task definition and input, reply with output. Construct a question that every answer in the list is correct and reasonable for it.
afghanistan, iraq, iran, north korea
| name a country you would not want to live in. | 5 | NIv2 | task821_protoqa_question_generation | zs_opt | [
0.3028782606124878,
1.1455074548721313,
-0.3442716598510742,
-0.8407872915267944,
0.30077534914016724,
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0.7959008812904358,
-1.0611319541931152,
0.2778174877166748,
0.08315423130989075,
-0.27317550778388977,
0.08462022244930267,
-0.5214236974716187,
-0.4818798899650574... |
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
| 7 | NIv2 | task1201_atomic_classification_xintent | fs_opt | [
0.11785483360290527,
-0.06359262019395828,
0.49553221464157104,
0.08752348273992538,
-0.3282749354839325,
-0.683563232421875,
0.6440670490264893,
0.4696315824985504,
-0.3874354958534241,
-0.09649933874607086,
-0.7022616863250732,
-1.0372718572616577,
-0.8685241937637329,
0.0395415872335433... |
In this task, you're given the middle and ending of a three-part story. Your job is to complete the short story by writing a probable beginning of the story. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating ... | Andrew had never been in trouble for anything. | 3 | NIv2 | task072_abductivenli_answer_generation | fs_opt | [
-0.19553110003471375,
0.6197774410247803,
-0.007117333356291056,
-0.639004111289978,
-0.6504924893379211,
0.22347402572631836,
0.8655033111572266,
0.583105742931366,
-0.1994742453098297,
-0.26734215021133423,
-0.5111114382743835,
0.027497215196490288,
-0.23654718697071075,
-0.0444143377244... |
Given the task definition and input, reply with output. A text is given in Gujarati. Translate it from the Gujarati language to the Marathi language. The translation must not omit or add information to the original sentence.
याच अर्थसंकल्पात, सरकारने प्रधानमंत्री अभ्यासवृत्ती योजनेचीही घोषणा केली आहे.
| સરકાર દ્વારા બજેટમાં પ્રાઇમ મિનિસ્ટર રિસર્ચ ફેલો યોજનાની પણ જાહેરાત કરવામાં આવી છે. | 5 | NIv2 | task984_pib_translation_marathi_gujarati | zs_opt | [
-0.5158438682556152,
0.6927646398544312,
0.5252615213394165,
-0.572590708732605,
0.06648039072751999,
-0.1505374014377594,
0.9950734376907349,
0.3361318111419678,
0.12237140536308289,
-0.41707390546798706,
-0.8535349369049072,
-0.004861930385231972,
-0.5234777927398682,
0.26034268736839294... |
Given the task definition and input, reply with output. Given a scientific question, generate an incorrect answer to the given question. The incorrect answer should be a plausible alternative to the correct answer. The answer should be some other item belonging to the same category as the correct answer but should be i... | spring contractions | 5 | NIv2 | task592_sciq_incorrect_answer_generation | zs_opt | [
-0.5740575790405273,
1.2179195880889893,
-0.4440714120864868,
0.4176265597343445,
-0.3613951802253723,
-0.6511210203170776,
-0.5366799831390381,
-0.2609184980392456,
0.003757058409973979,
-0.45318809151649475,
-0.29965052008628845,
0.5237256288528442,
-0.7978959083557129,
-0.35572230815887... |
Definition: Given a passage, 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 questions that (... | Does expression of p210 bcr/abl increase hematopoietic progenitor cell radiosensitivity? | 2 | NIv2 | task847_pubmedqa_question_generation | zs_opt | [
0.32457131147384644,
0.038564808666706085,
-0.46113452315330505,
0.06673332303762436,
0.22484080493450165,
-0.45831000804901123,
0.5868083238601685,
1.2613756656646729,
-0.12046728283166885,
0.4795191287994385,
-0.9136357307434082,
0.09593674540519714,
-0.5502461194992065,
0.30853396654129... |
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 Italian. Your job is to translate the Italian sentence into Galician.
Tra di esse, si annovera il piccolo sistema in arabo detto al-jebr.
Solution: Isto inclúe un sistema... | Os premios están baseados nun só criterio. É moi sinxelo. | 0 | NIv2 | task1252_ted_translation_it_gl | fs_opt | [
-0.5418984889984131,
0.7920743227005005,
-0.1940244883298874,
-0.20939278602600098,
-0.44707703590393066,
-0.423129677772522,
1.0428075790405273,
0.29967251420021057,
-0.9891897439956665,
-0.6973295211791992,
-0.44169411063194275,
-0.17287054657936096,
-0.7625385522842407,
0.49314796924591... |
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 English. Your job is to translate the English sentence into Italian.
Why? Because that profit allows whatever solution we've created to be infinitely scalable.
Solution: ... | Quello che però facciamo è spedirli tutti, me incluso, là fuori con questo avvertimento: sii perfetto. | 0 | NIv2 | task1091_ted_translation_en_it | fs_opt | [
-0.659356951713562,
0.9349572658538818,
0.24031776189804077,
0.05435376614332199,
-0.16759195923805237,
-0.7803107500076294,
0.26350465416908264,
0.6945458650588989,
0.3132718801498413,
0.0558425635099411,
-0.20095643401145935,
0.5713995695114136,
-0.5504226088523865,
0.19811725616455078,
... |
In this task, you will be presented with a premise sentence and a hypothesis sentence in Persian. Determine whether the hypothesis sentence entails, contradicts, or is neutral with respect to the given premise sentence. Classify your answers into "Contradiction", "Neutral", or "Entailment".
Let me give you an example:... | Neutral | 8 | NIv2 | task463_parsinlu_entailment_classification | fs_opt | [
-0.887744665145874,
0.5377410650253296,
-0.13097955286502838,
-0.15869931876659393,
-0.13489723205566406,
0.09496082365512848,
0.8556288480758667,
0.6621570587158203,
0.5902290344238281,
-0.1566350758075714,
-0.8322329521179199,
0.6028802394866943,
-0.09840135276317596,
0.10052480548620224... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Read the given text and if it has abusive content then indicate via "yes". Otherwise indicate via"no".
We consider the content to be abusive if it contains any of the following instances: (1) Identi... | no | 0 | NIv2 | task108_contextualabusedetection_classification | fs_opt | [
-0.32020291686058044,
0.13818717002868652,
0.052961498498916626,
0.5005037784576416,
-0.1356399655342102,
0.0018845759332180023,
0.5298657417297363,
0.8395821452140808,
0.3119468092918396,
0.2035757303237915,
0.1415572315454483,
0.011643858626484871,
-0.13283810019493103,
-0.20796544849872... |
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 must generate significant words which are not the stop words.
Let me give you... | vinegar | 8 | NIv2 | task039_qasc_find_overlapping_words | fs_opt | [
0.000814528320915997,
0.9856381416320801,
0.008602757938206196,
-0.3048979640007019,
0.08309817314147949,
-0.9104440808296204,
0.31447041034698486,
0.6465625166893005,
0.04478805512189865,
-0.555046558380127,
-1.044481873512268,
-0.3911343812942505,
-0.9113626480102539,
0.11874665319919586... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
Problem:Forse vi chiederete se io fotografi mai le persone.
Solution: | Se preguntarán si alguna vez fotografío gente. | 8 | NIv2 | task1249_ted_translation_it_es | zs_opt | [
-0.9407390356063843,
0.38637325167655945,
-0.787516176700592,
0.765831470489502,
0.08572360873222351,
-0.5497523546218872,
0.09812694787979126,
1.324973225593567,
-0.5230391621589661,
-0.4978798031806946,
-0.21083123981952667,
-0.8323599100112915,
-0.23043295741081238,
0.6889277696609497,
... |
Definition: In this task, you need to Translate Czech text to English.
Input: Je popsán povlakový prostředek a jeho použití ke zhotovení transparentních krycích vrstev na vícevrstvých povlacích. Povlakový prostředek obsahuje směs, která se skládá z A) 40 až 60 % hmotnostních (meth)akrylových kopolymerů obsahujícíc... | A coating composition and its use for producing transparent cover layers on multi-layer coatings are described. The coating composition comprises a mixture consisting of A) 40-60% by weight of (meth) acrylic copolymers containing hydroxyls which can be produced by copolymerization of a1) 50-70% by weight of at least on... | 2 | NIv2 | task842_para_pdt_cs_en_translation | zs_opt | [
0.40603429079055786,
-0.3634260892868042,
-0.14738082885742188,
-0.28762587904930115,
0.49634405970573425,
-0.5479944944381714,
-0.35659539699554443,
1.364542007446289,
-0.26045161485671997,
-0.16180762648582458,
0.12702172994613647,
0.14321783185005188,
-0.19672703742980957,
0.34002709388... |
Given the task definition and input, reply with output. Given a part of privacy policy text, identify the type of personal information which is collected, used, tracked or retained. The type of information should be present inside the given policy text, answer as 'Not Specified' otherwise
An unnamed third party does c... | Location | 5 | NIv2 | task684_online_privacy_policy_text_information_type_generation | zs_opt | [
-0.693988025188446,
0.057573579251766205,
-0.23444518446922302,
-0.0015915922122076154,
-0.8397461175918579,
-0.3404695987701416,
-0.07556483149528503,
0.19982674717903137,
0.022126100957393646,
0.48057132959365845,
0.03313738852739334,
0.018276195973157883,
-0.41665562987327576,
-0.914466... |
In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original" or "Changed" based on... | Original | 4 | NIv2 | task515_senteval_odd_word_out | zs_opt | [
-1.1538268327713013,
0.8963419198989868,
0.432487815618515,
-0.01653236523270607,
-0.16893456876277924,
-0.5269942879676819,
-0.023601867258548737,
1.2230501174926758,
0.09790733456611633,
-0.4382053017616272,
-0.7387177348136902,
-0.6301329135894775,
-1.037209391593933,
-0.231841832399368... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given the title of a five-sentence story 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 relev... | He realized upon arriving that her phone was dead. | 1 | NIv2 | task215_rocstories_incorrect_answer_generation | zs_opt | [
0.05406113713979721,
0.8502742052078247,
0.039037689566612244,
0.24029284715652466,
0.11394479125738144,
0.3615025281906128,
0.22322632372379303,
0.15668505430221558,
-0.12159839272499084,
-0.38439515233039856,
-0.2964877486228943,
0.030301351100206375,
-0.24841195344924927,
0.405709624290... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the numerical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no numerical element is in the list.
One example is bel... | 2, 4 | 9 | NIv2 | task507_position_of_all_numerical_elements_in_list | fs_opt | [
-0.15630079805850983,
0.16663062572479248,
-0.22982178628444672,
-0.6548523902893066,
0.3976328372955322,
-0.19282490015029907,
1.155777931213379,
0.07319998741149902,
-0.5493246912956238,
0.40198954939842224,
-0.6443386077880859,
-0.039849117398262024,
-0.04610792547464371,
-0.05652619525... |
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 | 9 | NIv2 | task1206_atomic_classification_isbefore | fs_opt | [
0.2854466438293457,
0.13803957402706146,
0.058078039437532425,
-0.12049521505832672,
-0.6174594163894653,
-0.7172877192497253,
1.0336458683013916,
0.4605591893196106,
-0.4273059070110321,
-0.45148420333862305,
-0.44787296652793884,
-0.49453699588775635,
-0.7079141736030579,
0.2171649634838... |
Given the task definition and input, reply with output. In this task, you have to generate the named entities (NER) given its ingredients of the recipe. Named entities are the names of the items without their quantity.
5 to 6 lb. hamburger, 2 large onions, chopped, 2 qt. tomatoes, blended, 2 c. ketchup, 2 pkg. El Paso... | hamburger, onions, tomatoes, ketchup, chili seasoning, taco seasoning, water | 5 | NIv2 | task570_recipe_nlg_ner_generation | zs_opt | [
-0.5388352274894714,
0.5125577449798584,
0.3887844681739807,
1.1353330612182617,
-0.2665184736251831,
-0.2407059371471405,
0.6436078548431396,
0.29933691024780273,
-0.18192052841186523,
-0.5301880836486816,
0.03592633455991745,
0.15792231261730194,
-0.7863989472389221,
-0.05302307009696960... |
In this task, you need to count the number of words in a sentence that contain the given letter
--------
Question: Sentence: 'a zebra standing still in the grass near a tree'. How many words contain the letter 'w' in the sentence.
Answer: 0
Question: Sentence: 'a man on a motorcycle towing another man on a skateboar... | 0
| 7 | NIv2 | task161_count_words_containing_letter | fs_opt | [
0.646300196647644,
0.8638086318969727,
-0.19156236946582794,
-0.6226615309715271,
-0.3251399099826813,
-0.2835226058959961,
0.7352882623672485,
0.17772886157035828,
0.0938490629196167,
-0.1418684422969818,
-0.22731660306453705,
0.14857617020606995,
0.013617030344903469,
-0.1037167832255363... |
Teacher: 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 ... | Yes | 2 | NIv2 | task1213_atomic_classification_desires | fs_opt | [
0.13052251935005188,
0.11379130184650421,
0.3435649275779724,
-0.29296836256980896,
-0.42106717824935913,
-0.8857965469360352,
0.7610530257225037,
0.7204978466033936,
-0.3714340329170227,
-0.05030905827879906,
-0.20307143032550812,
-0.3930686116218567,
-0.4167434573173523,
-0.1442011445760... |
Teacher: 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.
Teacher: Now, understand the problem? If... | Threat | 2 | NIv2 | task322_jigsaw_classification_threat | fs_opt | [
-0.09515418857336044,
0.16688281297683716,
0.7390794157981873,
-0.41139844059944153,
-0.044961556792259216,
-0.24083870649337769,
0.6617087721824646,
0.9564293622970581,
-0.2400643229484558,
0.5390669107437134,
0.5001680254936218,
0.2961922883987427,
-0.34342557191848755,
-0.63863289356231... |
Detailed Instructions: In this task, you're given a four sentences of story written in natural language. Your job is to complete end part of the story by predicting appropriate last sentence which is coherent with the given sentences.
Problem:Sentence1: Jane did not know which gift to get for her best friend. Sentence2... | Jane purchased the electric toothbrush for her geeky friend. | 8 | NIv2 | task105_story_cloze-rocstories_sentence_generation | zs_opt | [
-0.5243058800697327,
1.6927610635757446,
-0.127431720495224,
-0.45445358753204346,
-0.1978324055671692,
-0.7930628657341003,
0.6949940919876099,
0.042940981686115265,
0.29067346453666687,
0.05789937824010849,
-0.021755125373601913,
0.2974277138710022,
-0.14766034483909607,
-0.1961091905832... |
Q: 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 bought these after seeing all of the 5 star reviews, upon receiving them one had partially come undone. I was able to snap it back together but... | negative | 7 | NIv2 | task1312_amazonreview_polarity_classification | zs_opt | [
-0.022489778697490692,
-0.4527207612991333,
0.28795212507247925,
0.039244893938302994,
0.3914026618003845,
-0.36263513565063477,
0.43092286586761475,
0.768893301486969,
0.17716942727565765,
0.5834730863571167,
-0.3891952931880951,
-0.516225278377533,
-0.5996317863464355,
-0.737554252147674... |
Given the task definition and input, reply with output. In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) a... | majority | 5 | NIv2 | task212_logic2text_classification | zs_opt | [
-0.04708147794008255,
-0.3238949179649353,
-0.11188969016075134,
0.3193090856075287,
0.47736331820487976,
-0.3849991261959076,
0.6574465036392212,
0.5389916896820068,
0.47548991441726685,
-0.09230059385299683,
-0.17632409930229187,
0.15369641780853271,
-0.024841537699103355,
0.544487357139... |
Teacher: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 this task: CC... | True | 6 | NIv2 | task346_hybridqa_classification | zs_opt | [
-0.152266263961792,
0.13651394844055176,
-0.37545251846313477,
0.2315216213464737,
0.002218303270637989,
-0.49990659952163696,
0.7977981567382812,
0.6181187629699707,
-0.17136694490909576,
-0.053791485726833344,
-0.42250198125839233,
0.1743060201406479,
0.03558293357491493,
-0.214969635009... |
In this task, you need to answer the given multiple-choice question on geometry. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
[Q]: Problem: what is the max number of rectangular boxes , each measuring 4 inches by 6 inches by 10 inches , that can be packed into a rectangular packing box measuring 16 inches b... | d
| 5 | NIv2 | task1423_mathqa_geometry | fs_opt | [
0.5233927965164185,
0.796317458152771,
0.07497813552618027,
-0.38654348254203796,
-0.009580947458744049,
0.061785418540239334,
0.07777756452560425,
0.3942744731903076,
-0.3454288840293884,
-0.08023913204669952,
-0.29509878158569336,
0.1858769953250885,
-0.1038917750120163,
-0.1903910040855... |
Detailed Instructions: 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.
Q: ['921', 'c', '965', 'y', '4739', '6007', 'b', '6825', 'f', '3675', 'm', 'n', 'g', 't', '697', 'J']
A: | 23829 | 9 | NIv2 | task499_extract_and_add_all_numbers_from_list | zs_opt | [
0.21963869035243988,
0.24154774844646454,
-0.24281498789787292,
-1.2659105062484741,
0.15667155385017395,
-0.42010849714279175,
-0.0149492546916008,
-0.23725837469100952,
-0.44320592284202576,
0.10128489136695862,
-0.8742135763168335,
-0.04205400124192238,
-0.5337027907371521,
0.0536874905... |
In this task, you're given a review from Amazon. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good.
This looked like such an adorable item! It arrived and it was missing one of the headlights, and... | 2
| 0 | NIv2 | task1310_amazonreview_rating_classification | fs_opt | [
-0.11253073066473007,
-0.12910328805446625,
-0.01616487465798855,
0.2358730435371399,
0.25608140230178833,
-0.2139071822166443,
-0.05470744147896767,
1.4410624504089355,
-0.6096823215484619,
0.44567155838012695,
-0.6035200953483582,
0.1529502123594284,
-0.646216869354248,
-0.03039648383855... |
Instructions: 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.
Input: A True Fire From The Start... . "Shadowfires" was another wonderful b... | POS | 3 | NIv2 | task476_cls_english_books_classification | zs_opt | [
-0.1942773461341858,
-0.16530853509902954,
-0.12265074998140335,
-0.34623920917510986,
0.13291531801223755,
-0.4582836627960205,
1.4512546062469482,
0.5511045455932617,
0.4498459994792938,
0.2399204671382904,
0.1290690004825592,
-0.07157503068447113,
-0.7976223230361938,
-0.363527595996856... |
In this task you will be given a list of integers. You should find the maximum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the largest possible absolute distance.
One example is bel... | 171 | 9 | NIv2 | task1446_farthest_integers | fs_opt | [
-0.32863056659698486,
0.44103455543518066,
0.23668277263641357,
-0.3340594172477722,
-0.19670015573501587,
-0.5199061632156372,
0.33845871686935425,
0.1706565022468567,
0.7303861975669861,
-0.15449073910713196,
-0.09413060545921326,
0.026918169111013412,
-0.551952600479126,
-0.015474615618... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into English.
Example Input: Ma oggi vorrei raccontarvi una storia diversa.
Example Output: But I want to tell you a different story here today.
Example Input: Vi faccio un esempio tratto da un mio lavoro.
Example Output: Now let me gi... | You may never have heard of Kenema, Sierra Leone or Arua, Nigeria.
| 3 | NIv2 | task1247_ted_translation_it_en | fs_opt | [
-0.19809305667877197,
0.6641172170639038,
0.02824072539806366,
0.11599425971508026,
-0.41096439957618713,
-0.8175007104873657,
-0.3601447343826294,
1.1294113397598267,
-0.1927366554737091,
0.21445098519325256,
-0.0024567898362874985,
0.26726457476615906,
-0.6923322677612305,
0.025997463613... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Italian. Your job is to translate the Italian sentence into Arabic.
Example: Penso che abbastanza presto vedrete pazienti curati con le cellule staminali derivanti dal proprio grasso o adipe.
Output: وأعتقد أنه في ا... | وهنا شريط فيديو لجوزيف. | 1 | NIv2 | task1250_ted_translation_it_ar | fs_opt | [
-0.6580150723457336,
0.47725236415863037,
-0.44961005449295044,
-0.37056148052215576,
-0.7021424770355225,
0.2242046594619751,
0.5385621786117554,
1.0843915939331055,
0.1710389256477356,
-0.35208651423454285,
-0.411618173122406,
0.3028159737586975,
-0.2826994061470032,
0.17056839168071747,... |
Q: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: insult and non-insult. Insult is any lanugage or act that is disrespectful or scornfully abusive.
Comment: ... juuuuuuust don't get in the way of their single occupancy SUVs while the go dri... | Non-insult | 7 | NIv2 | task328_jigsaw_classification_insult | zs_opt | [
-1.1147884130477905,
0.6464038491249084,
0.5096431970596313,
0.5699031352996826,
-0.628811240196228,
-0.0480671264231205,
0.4133261442184448,
0.875619649887085,
0.5840504765510559,
0.5672451257705688,
0.36568784713745117,
-0.007399578113108873,
-0.005884357262402773,
-0.9193406105041504,
... |
Detailed Instructions: 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 rea... | What may be your reason for taking 10 minutes out of your day for something ? | 9 | NIv2 | task023_cosmosqa_question_generation | zs_opt | [
0.2743900418281555,
0.12753942608833313,
-0.027567585930228233,
0.2702755331993103,
0.1084912121295929,
-1.2372515201568604,
0.17895519733428955,
0.8261788487434387,
0.21841588616371155,
0.13282936811447144,
-0.6473445892333984,
-0.1317598670721054,
-0.23619094491004944,
0.0709084421396255... |
Q: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content.
@anonymized_account @anonymized_account Nic nie bierze, tak ma. Na 100% wchodzi do klubu na sucho i bryka do rana
A: | 0 | 7 | NIv2 | task838_cdt_classification | zs_opt | [
-1.3956109285354614,
1.2589153051376343,
0.06808207184076309,
0.5857919454574585,
-0.49460816383361816,
-0.29228726029396057,
0.7428083419799805,
-0.6586664915084839,
0.3627256155014038,
-0.11334457248449326,
-0.3274800181388855,
-0.16270779073238373,
-0.6129351854324341,
-0.22027230262756... |
Detailed Instructions: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: religious or non-politic... | non-religious | 4 | NIv2 | task1492_bengali_religious_hate_speech_binary_classification | fs_opt | [
-0.39155471324920654,
0.10405025631189346,
0.20466989278793335,
0.2732979655265808,
-0.6679272055625916,
-1.1600507497787476,
0.419366717338562,
0.29044681787490845,
-0.3857450485229492,
0.25928330421447754,
-0.5040457248687744,
-0.2501618266105652,
-0.5208851099014282,
-0.3952495157718658... |
Given the task definition, example input & output, solve the new input case.
Given a sentence, fill out the missing word with a 'no' or a number (between zero and ten). You should write the numbers with english alphabet, like: four instead of 4.
Example: Female snakes incubate eggs inside of their bodies, giving birth ... | no | 1 | NIv2 | task1359_numer_sense_answer_generation | fs_opt | [
-0.7769101858139038,
0.615659773349762,
-0.20933246612548828,
-0.14494481682777405,
-0.11906598508358002,
-0.3065933585166931,
0.564766526222229,
0.7730422019958496,
-0.25800999999046326,
0.06364414840936661,
0.22554528713226318,
0.03451451286673546,
-1.0797524452209473,
-0.362274348735809... |
A text is given in Oriya. Translate it from the Oriya language to the Panjabi language. The translation must not omit or add information to the original sentence.
ଆମେରିକାରେ ଥିବା ଭାରତୀୟମାନେ ସେମାନଙ୍କ ଆଧ୍ୟାତ୍ମିକ ଓ ସାଂସ୍କୃତିକ ଭିତ୍ତିଭୂମିକୁ ଭୂଲିବା ଉଚିତ ନୁହେଁ : ଉପରାଷ୍ଟ୍ରପତି
ਇਨ੍ਹਾਂ video conferences ਦੀ ਸਭ ਤੋਂ ਵੱਡੀ ਗੱਲ ਹੈ ਕਿ ਅ... | ਪ੍ਰਧਾਨ ਮੰਤਰੀ ਸ਼੍ਰੀ ਨਰੇਂਦਰ ਮੋਦੀ ਦੀ ਅਗਵਾਈ ਹੇਠ ਕੇਂਦਰੀ ਮੰਤਰੀ ਮੰਡਲ ਨੇ ਸੜਕੀ ਆਵਾਜਾਈ ਤੇ ਹਾਈਵੇਜ਼ ਮੰਤਰਾਲੇ ਅਤੇ ਭਾਰਤ ਵਿੱਚ ਜਨਤਕ ਟਰਾਂਸਪੋਰਟ ਦੇ ਸੁਧਾਰ ਲਈ ਗਰੇਟਰ ਲੰਡਨ ਅਥਾਰਟੀ ਐਕਟ, 1999 (ਯੂਕੇ) ਅਧੀਨ ਸਥਾਪਤ, ਸੰਵਿਧਾਨਿਕ ਸੰਸਥਾ ‘ਟਰਾਂਸਪੋਰਟ ਫਾਰ ਲੰਡਨ’ ਦਰਮਿਆਨ ਹੋਏ ਸਹਿਮਤੀ ਪੱਤਰ ਅਤੇ ਇਸ ਦੇ ਲਾਗੂਕਰਨ ਨੂੰ ਪ੍ਰਵਾਨਗੀ ਦੇ ਦਿੱਤੀ ਹੈ।
| 0 | NIv2 | task1039_pib_translation_oriya_punjabi | fs_opt | [
-0.0709604024887085,
0.09788697957992554,
0.274771511554718,
0.36756032705307007,
0.26205307245254517,
-0.4217684864997864,
0.8362789154052734,
1.275337815284729,
-0.4389897584915161,
-0.16807259619235992,
0.1553962528705597,
-0.13567784428596497,
-0.33966535329818726,
-0.09428256005048752... |
TASK DEFINITION: In this task, you are given reviews written about the books in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
PROBLEM: উপকারী বই সবার পড়া উচিত।
SOLUTION: positive
PROBLEM: খুব ভালো লাগল বইটা😍😍😍
SOLUTION: positive
PROBLEM: ওয়াক থু!
SOLU... | negative
| 8 | NIv2 | task1497_bengali_book_reviews_sentiment_classification | fs_opt | [
-0.17496001720428467,
0.0782138779759407,
0.13822127878665924,
-0.6211301684379578,
0.09885019809007645,
-0.16128282248973846,
1.3429452180862427,
-0.35412144660949707,
0.22173582017421722,
-0.3446606397628784,
-0.9722761511802673,
-0.2750410735607147,
-0.4097856283187866,
0.03467994183301... |
Given the task definition and input, reply with output. In this task, you are given music 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.
Endlich mal eine Zusammenstellung ... | POS | 5 | NIv2 | task481_cls_german_music_classification | zs_opt | [
-0.7904425859451294,
0.2707098126411438,
-0.10912822186946869,
-0.15401440858840942,
0.1766677349805832,
0.5194356441497803,
0.3243686556816101,
0.8347578048706055,
0.6244135499000549,
0.8110730051994324,
-0.06169402226805687,
0.27522388100624084,
-0.2490670382976532,
-0.24111038446426392,... |
You will be given a definition of a task first, then some input of the task.
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... | Bees and other insects are agents. | 1 | NIv2 | task037_qasc_generate_related_fact | zs_opt | [
0.44947779178619385,
0.7739025354385376,
-0.26630598306655884,
-0.16076959669589996,
-0.023812588304281235,
-0.632634162902832,
-0.08169953525066376,
0.9911267757415771,
-0.5061518549919128,
0.04580405354499817,
-1.1965268850326538,
0.6390479207038879,
-0.37308597564697266,
-0.243006616830... |
You will be given a definition of a task first, then some input of the task.
The task is to generate text based 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 emotional reaction to the event, i.e. how that person feels afte... | proud of himself | 1 | NIv2 | task1595_event2mind_text_generation_1 | zs_opt | [
-0.08277138322591782,
0.41214245557785034,
-0.023344319313764572,
-0.21567463874816895,
-0.04448043555021286,
-0.5092594623565674,
1.129213809967041,
0.8279481530189514,
0.42271479964256287,
-0.29754769802093506,
-0.052387941628694534,
-0.27848055958747864,
-0.4974357485771179,
0.286428123... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.
Potreste pensare che siano insegnanti di lunga data.
Output: | Podem pensar que devem ser professores muito experientes. | 1 | NIv2 | task1255_ted_translation_it_pt | zs_opt | [
-0.8876146674156189,
0.41118165850639343,
-0.21377475559711456,
-0.38285231590270996,
-0.43402770161628723,
-0.27493834495544434,
-0.5173559188842773,
1.235575556755066,
0.21560391783714294,
-0.5057728290557861,
-0.5232446193695068,
-0.05330081284046173,
-0.2040821760892868,
0.027540571987... |
In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation that might UNDERMINE or... | weakener
| 0 | NIv2 | task937_defeasible_nli_social_classification | fs_opt | [
-0.06224802881479263,
0.5670275688171387,
-0.07412023097276688,
0.19151774048805237,
0.015558200888335705,
-1.069881558418274,
0.6486285328865051,
1.1896681785583496,
0.11298257112503052,
-0.3401833474636078,
-1.4048380851745605,
-0.2973003387451172,
-0.7658736109733582,
-0.285955548286438... |
Instructions: 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 enti... | None | 3 | NIv2 | task1546_conll2002_location_name_extraction_answer_generation | zs_opt | [
-0.11580943316221237,
0.44136935472488403,
-0.22763483226299286,
-0.2755216658115387,
-0.2529774010181427,
0.16153958439826965,
0.8917362093925476,
0.07445550709962845,
0.6538398265838623,
-0.5528542995452881,
-0.43628430366516113,
0.8988021016120911,
-0.2113209068775177,
0.226825207471847... |
Detailed Instructions: 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 rea... | Is it easy to reach the man ? | 9 | NIv2 | task023_cosmosqa_question_generation | zs_opt | [
0.5355859994888306,
0.20279058814048767,
-0.1632060557603836,
-0.5283052921295166,
-0.19898727536201477,
-0.40653571486473083,
0.525531530380249,
0.696225106716156,
0.11998101323843002,
0.20254205167293549,
-0.9339743256568909,
-0.24641892313957214,
-0.5849690437316895,
0.250598669052124,
... |
Detailed Instructions: In this task, you are given a post in Spanish 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, ... | Hateful | 4 | NIv2 | task334_hateeval_classification_hate_es | fs_opt | [
-0.7261993885040283,
0.009152594953775406,
0.383567750453949,
0.6998410224914551,
-0.5376436710357666,
-0.8913211226463318,
0.22254271805286407,
1.1638789176940918,
0.5791980028152466,
0.05804869532585144,
-0.42726588249206543,
0.18120720982551575,
-0.06255413591861725,
-0.3196468055248260... |
In this task, you will be given a list of numbers. The goal is to divide all the numbers in the list by a constant such that the sum of the resulting list is 1. The output should be rounded to 3 decimals.
[EX Q]: [249.541, 233.825, 9.968]
[EX A]: [0.506 0.474 0.02 ]
[EX Q]: [98.788, -10.935, 154.847, 241.275, 14.539]... | [ 0.76 0.146 -0.202 0.296]
| 6 | NIv2 | task093_conala_normalize_lists | fs_opt | [
-0.5433371067047119,
0.37150225043296814,
-0.9566254615783691,
-1.2898461818695068,
-0.08342345058917999,
0.17327305674552917,
0.3005862236022949,
-0.3693390488624573,
-0.7446892261505127,
-0.01771574839949608,
-0.8590517044067383,
0.6768200397491455,
-0.15173882246017456,
-0.3903942108154... |
In this task, you are given a sentence or phrase in English. You must translate it to Xhosa in a way that is equivalent in terms of meaning and grammatically correct.
Let me give you an example: Rope and its Usage
The answer to this example can be: Intambo nomsebenzi ewenzayo.
Here is why: 'Intambo' means rope, 'nomse... | Uhlanganiso. | 8 | NIv2 | task872_opus_xhosanavy_translation_eng_xhosa | fs_opt | [
0.6637296676635742,
1.0019259452819824,
0.22197206318378448,
-0.08870011568069458,
-0.7636529207229614,
-0.8002250790596008,
0.9813131093978882,
0.09183820337057114,
-0.739715576171875,
-0.469441682100296,
-0.5786792039871216,
-0.29520606994628906,
-0.69919353723526,
-0.19900986552238464,
... |
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 the form of the letters E, C, and N, respectively. The sentences have been se... | C | 8 | NIv2 | task534_farstail_entailment | fs_opt | [
-0.12316817790269852,
0.24924567341804504,
0.15741217136383057,
-0.24510851502418518,
-0.3603971004486084,
-0.04023335874080658,
0.14280001819133759,
1.095049262046814,
0.42971426248550415,
0.012355880811810493,
-0.00106233567930758,
0.5625327825546265,
-0.6248723864555359,
-0.479018002748... |
Detailed Instructions: 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 to... | Lakes are large bodies of inland water. | 4 | NIv2 | task037_qasc_generate_related_fact | fs_opt | [
0.011415383778512478,
0.771245002746582,
-0.8797569274902344,
-0.22096607089042664,
-0.45357608795166016,
-1.0388777256011963,
-0.377746045589447,
1.2007635831832886,
-0.7971891164779663,
0.014644802547991276,
-1.0987277030944824,
0.6490644216537476,
-0.6485317945480347,
0.1783312857151031... |
Instructions: You are given a statement written in Bengali. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement . Output the word from the correct option .
Input: Statement: ২ এপ্রিলের মধ্যে <MASK>, তেলেঙ্গানা এবং কর্ণাটক যথাক্রমে ১,৩২৫, ১,০৬৪ এবং ৮০০ জন ... | মহারাষ্ট্র | 3 | NIv2 | task945_wiki_cloze_bn_multiple_choice_question_answering | zs_opt | [
0.40708595514297485,
0.24771732091903687,
-0.454654335975647,
-0.30071836709976196,
-0.3571486473083496,
-1.0101382732391357,
-0.6329781413078308,
-0.2032216489315033,
-0.452284038066864,
0.6928165555000305,
-0.5820533037185669,
-0.24637427926063538,
-0.18320158123970032,
0.088694639503955... |
Instructions: You will be given a piece of text either about an everyday event, or a general statement. If the event seems a plausible event to you, or the general statement makes sense matches your commonsense, output 'True', otherwise output 'False'.
Input: Since John has to pick up his kids in ten minutes he will st... | True | 3 | NIv2 | task116_com2sense_commonsense_reasoning | zs_opt | [
-0.1776195913553238,
0.76093590259552,
-0.3577003479003906,
0.3329092264175415,
-0.5789345502853394,
-1.0843548774719238,
0.43043816089630127,
0.8222204446792603,
-0.4570516049861908,
0.46137216687202454,
-0.599949836730957,
0.36961573362350464,
-0.34101659059524536,
0.16809216141700745,
... |
Q: Given a passage classify if the passage has a definite objective/aim/goal or not. Output '1' if the passage has a defininte objective/aim/goal and output '0' if the passage does not have a definite objective/aim/goal.
Although few studies have examined cardiovascular disease in Asian-American subgroups separately, l... | 1 | 7 | NIv2 | task848_pubmedqa_classification | zs_opt | [
0.43881046772003174,
-0.21808062493801117,
-0.7389169335365295,
0.136526420712471,
0.44948652386665344,
0.37602975964546204,
0.17439427971839905,
1.010988473892212,
0.20201866328716278,
0.6941941976547241,
-0.364272803068161,
-0.24517029523849487,
-0.05838731676340103,
0.09953130781650543,... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.
Cercando online, si trovano posti come Codecademy ed eventi come CoderDojo e siti come Girls Who Code, o Black Girls Code.
Output: | Se virem na Internet irão encontrar lugares como a 'Academia do Código (Codeacademy)' e eventos como 'Dojo do Código' (CoderDojo) e sítios Web como 'Meninas que programam' ou 'Código das Meninas Negras' (Black Girls Code) ' | 1 | NIv2 | task1255_ted_translation_it_pt | zs_opt | [
-0.14439615607261658,
-0.15848717093467712,
0.07500629127025604,
-0.908057689666748,
-0.09679698944091797,
-0.3022878170013428,
-0.1866016685962677,
1.1067174673080444,
-0.2155432254076004,
0.3872618079185486,
-0.5682296752929688,
0.044347189366817474,
-0.8678532838821411,
-0.0313728451728... |
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: 木曜日、フェイスブックは、ソーシャルネットワークを用いてテクノロジーの一部の共有を開始すると発... | Yes | 5 | NIv2 | task1126_alt_ja_lo_answer_generation | zs_opt | [
-1.1829913854599,
0.029079139232635498,
0.21043901145458221,
-0.3535076677799225,
-0.3237280249595642,
-0.19124343991279602,
0.8202682733535767,
0.9115049839019775,
-0.29039818048477173,
-0.7747740149497986,
-0.14950917661190033,
0.4767581522464752,
-0.2296704202890396,
0.5987128019332886,... |
A text is given in Bengali. Translate it from the Bengali language to the Tamil language. The translation must not omit or add information to the original sentence.
Ex Input:
செயற்கைக் கோள் எதிர்ப்பு (ASAT) ஏவுகனையை , இந்தியா, வெற்றிகரமாக பரிசோதித்துள்ளது.
Ex Output:
ভারত সাফল্যের সঙ্গে উপগ্রহ বিধ্বংসী ক্ষেপণাস্ত্রের... | আসুন শোনা যাক একটি ফোন কল,
| 1 | NIv2 | task982_pib_translation_tamil_bengali | fs_opt | [
-0.3090256452560425,
0.36751753091812134,
-0.39022642374038696,
0.06669527292251587,
-0.09029719233512878,
-0.5959374904632568,
0.6803961396217346,
-0.16794002056121826,
-0.1403830349445343,
0.3903827667236328,
-0.953264594078064,
0.5931349992752075,
0.22553306818008423,
0.1027447208762168... |
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 | task1211_atomic_classification_hassubevent | zs_opt | [
0.08196429908275604,
0.047275856137275696,
0.22018921375274658,
-0.00008792569860816002,
-0.6197762489318848,
-0.47388601303100586,
1.2313719987869263,
0.3808825612068176,
-0.6578980684280396,
-0.5362972021102905,
-0.45768165588378906,
-0.3314070403575897,
-0.824993371963501,
0.12677349150... |
Given a post that is a real-life anecdote of a complex ethical situation and an associated claim about its type, verify if the claim is true or not. The claim asks if the posts are historical or hypothetical. The posts are "HISTORICAL" when the author has already done something and they are "HYPOTHETICAL" when the auth... | no
| 1 | NIv2 | task501_scruples_anecdotes_post_type_verification | fs_opt | [
0.1275598257780075,
0.10502567887306213,
0.32859545946121216,
0.14286267757415771,
0.37367331981658936,
-0.6350938081741333,
0.8576987385749817,
1.315758228302002,
-0.24582037329673767,
-0.3427520990371704,
0.199264258146286,
0.2897794544696808,
-0.5459561347961426,
0.29207146167755127,
... |
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 | task1212_atomic_classification_hasproperty | zs_opt | [
0.01229896955192089,
-0.0021696339827030897,
0.4476594626903534,
0.02971992827951908,
-0.5236560702323914,
-0.4688279330730438,
0.8483859300613403,
0.5457900166511536,
-0.504089891910553,
-0.25200390815734863,
-0.8243245482444763,
-0.20857520401477814,
-0.25878965854644775,
0.2659423351287... |
You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input
Q: ASSISTANT: Can you tell me, what type of movies do you lik... | ASSISTANT
****
| 4 | NIv2 | task925_coached_conv_pref_classifier | fs_opt | [
-0.01731044240295887,
-0.6069087982177734,
0.013729028403759003,
0.4833594262599945,
0.2002418339252472,
-0.15707743167877197,
0.865966796875,
0.7638275623321533,
0.3038477897644043,
-0.03666998818516731,
-0.03732986003160477,
-0.8467381596565247,
-0.5280126333236694,
-0.08603299409151077,... |
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.
Q: 去年ハリケーンフランシスとイヴァンが来ていた間、ＨＭＳリッチモンドとＲＦＡウェイブルーラーは積極的に人道支援にあたった。
A: | Selama badai Frances dan Ivan tahun lalu, HMS Richmond dan RFA Wave Ruler telah secara aktif terlibat dalam bantuan kemanusiaan. | 4 | NIv2 | task1115_alt_ja_id_translation | zs_opt | [
-0.5275874733924866,
0.4891597628593445,
-0.37106895446777344,
-0.273235946893692,
-0.21229338645935059,
-1.0615044832229614,
0.7600950002670288,
-0.7507348656654358,
0.28426653146743774,
-0.10529421269893646,
-0.9109997153282166,
0.05305112153291702,
-0.6604033708572388,
0.441372692584991... |
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