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 |
|---|---|---|---|---|---|---|
TASK DEFINITION: In this task you are given a sentence. You must judge whether there exist two consecutive words within the sentence with flipped orders, that is, whether the sentence will make sense and be correct if the order of two consecutive words changes. Label the instances as "Inversion" or "Original" based on ... | Original
| 8 | NIv2 | task428_senteval_inversion | fs_opt | [
-0.7782899141311646,
0.1511097550392151,
0.34088122844696045,
0.31220245361328125,
0.06941722333431244,
0.09288693964481354,
0.5665748715400696,
0.6040655374526978,
0.1435403823852539,
-0.169463112950325,
-0.9015746712684631,
-0.6014713644981384,
-0.3497692942619324,
-0.031502626836299896,... |
Detailed Instructions: 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... | [-92, 74] | 8 | NIv2 | task369_synthetic_remove_odds | zs_opt | [
-0.7801276445388794,
0.6901021003723145,
-0.20815804600715637,
-0.8097547292709351,
-0.020567290484905243,
-0.35018840432167053,
1.147853136062622,
0.3191133141517639,
0.09156843274831772,
0.45941928029060364,
-0.6205511093139648,
-0.06020786240696907,
0.09196235984563828,
-0.1901307702064... |
Given a 'poster' sentence and a corresponding 'response' (often, from Facebook or Reddit)classify the sentiment of the given response into four categories: 1) Positive, 2) Negative, 3) Neutral, and 4) Mixed if it contains both positive and negative.
Poster: Congrats Serena Williams on singles major #20! #PressureIsAPr... | Negative | 0 | NIv2 | task823_peixian-rtgender_sentiment_analysis | zs_opt | [
-1.1785938739776611,
0.36507731676101685,
0.21087929606437683,
-0.011452790349721909,
0.4243242144584656,
-0.22415384650230408,
0.43508100509643555,
0.7308843731880188,
0.9409924745559692,
0.3363614082336426,
-0.05663289874792099,
0.7222117185592651,
-0.17117027938365936,
-0.47787663340568... |
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 returned.
... | [311, 859, 199, 643, 433]
| 5 | NIv2 | task366_synthetic_return_primes | fs_opt | [
-0.36957138776779175,
-0.02560151368379593,
-0.6376776099205017,
-0.10314330458641052,
-0.2627940773963928,
-0.4183737337589264,
0.8951156139373779,
0.49136853218078613,
-0.8422502875328064,
0.269258588552475,
-0.9814397096633911,
-0.2766684293746948,
-0.11203158646821976,
-0.2684202194213... |
Given a set of four words, generate the category that the words belong to. Words are separated by commas. The possible categories are social gathering, accomodation, physical property, measurement unit, corporate, nutritional value, boats, police punishment, location (proximity), card games, outdoor sport activity, mil... | corporate
| 0 | NIv2 | task143_odd-man-out_classification_generate_category | fs_opt | [
0.03972333297133446,
-0.08562956750392914,
-0.37987220287323,
0.3241443336009979,
0.11374536901712418,
-0.3226664960384369,
-0.30266064405441284,
0.6897185444831848,
0.20625361800193787,
-0.007236269302666187,
-0.15849769115447998,
-0.13552117347717285,
-0.1514873504638672,
-0.466818243265... |
In mathematics, the absolute value of a number is the non-negative value of that number, without regarding its sign. For example, the absolute value of -2 is 2, and the absolute value of 5 is 5. In this task you will be given a list of numbers and you need to return the element with highest absolute value. If a negativ... | -72.447 | 6 | NIv2 | task095_conala_max_absolute_value | fs_opt | [
0.43770039081573486,
0.28060609102249146,
-0.16380083560943604,
0.25558096170425415,
-0.14394037425518036,
-0.5770906209945679,
1.2480405569076538,
1.0077074766159058,
0.19992035627365112,
-0.1334179937839508,
-0.3086693584918976,
0.168002188205719,
-0.15645894408226013,
0.0123546645045280... |
Teacher:Given a real-life anecdote of a complex ethical situation, judge whether or not a specific person is wrong here. Answer 'not answerable' if more information is required and 'answerable' if all the information is sufficient to answer who is wrong in this situation.
Teacher: Now, understand the problem? Solve thi... | answerable | 6 | NIv2 | task503_scruples_anecdotes_isanswerable | zs_opt | [
0.4621334373950958,
-0.08193965256214142,
-0.21376362442970276,
-0.2795451283454895,
-0.26698487997055054,
-0.8656392097473145,
0.49462050199508667,
0.7428234219551086,
-0.3400622308254242,
-0.16993845999240875,
0.19537611305713654,
0.4871137738227844,
-0.5930798053741455,
-0.1199260056018... |
Detailed Instructions: A text is given in Gujarati. Translate it from the Gujarati language to the Hindi language. The translation must not omit or add information to the original sentence.
See one example below:
Problem: देश के अलग-अलग इलाकों में जितना ज्यादा इंफ्रास्ट्रक्चर मजबूत होगा, संपर्क सुगम होगा, जितना ज्यादा ... | તેમણે શ્રી પદ્મનાભ સ્વામી મંદિરે દર્શન અને પ્રાર્થના કરી હતી. | 4 | NIv2 | task1034_pib_translation_hindi_gujarati | fs_opt | [
-0.03210820257663727,
0.20432338118553162,
0.18761436641216278,
0.27825164794921875,
0.1603373885154724,
-0.5310112237930298,
0.11930249631404877,
0.6697869300842285,
-0.4045560359954834,
-0.1301293820142746,
-0.8694600462913513,
0.07221632450819016,
-0.38498741388320923,
-0.10588114708662... |
You will be given a definition of a task first, then some input of the task.
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.
バスの下にはゆるい坂があり、その後ろ端は下りの一番下に届いており、バス後方の屋根が破壊されている。
Output: | Ada tanjakan landai di bawah bus dan ujung belakangnya terlihat menyentuh dasar turunan, menabrak atap bagian belakang bus. | 1 | NIv2 | task1115_alt_ja_id_translation | zs_opt | [
-0.5397064685821533,
0.4914281666278839,
-0.13469377160072327,
-0.11569009721279144,
-0.04455878958106041,
-0.15454623103141785,
0.9759784936904907,
-0.003523151855915785,
-0.2129163146018982,
0.20149415731430054,
-0.9060434103012085,
0.3839952349662781,
-0.7068824768066406,
0.578810930252... |
Given the task definition, example input & output, solve the new input case.
In this task you are given a sentence with one coordinating conjunction (for, and, nor, but, or, yet, and so). You must judge whether the order of two coordinated clausal conjoints have been inverted or not. Inversion would result in the sente... | Original | 1 | NIv2 | task516_senteval_conjoints_inversion | fs_opt | [
0.19149421155452728,
0.8471540212631226,
0.26147013902664185,
0.2276434600353241,
0.3439776599407196,
-0.052149757742881775,
0.1989837884902954,
0.7283822298049927,
-0.05408533662557602,
-0.2773202657699585,
-0.3707370162010193,
-0.8279913663864136,
-0.5869511961936951,
-0.3052245378494262... |
Q: In this task, you are given a sentence which is either in the Swedish language or English language. You task is to identify the language of input sentence. Input sentence can be in Swedish or English language only and also it cannot have two languages at a time.
This aid must be aligned with the objectives of the Un... | English | 7 | NIv2 | task315_europarl_sv-en_language_identification | zs_opt | [
-0.4047911763191223,
1.069494605064392,
0.5131016969680786,
-0.6322739124298096,
-0.180890753865242,
-0.6196669340133667,
0.3737802505493164,
0.3035842776298523,
0.5899715423583984,
-0.08001074939966202,
-0.14619180560112,
0.20431700348854065,
-0.032660774886608124,
-0.6035151481628418,
... |
Given the task definition and input, reply with output. In this task, you are given a sentence from the Bible in Persian, and your task is to translate it into English.
و کاهن بیرون لشکرگاه برود و کاهن ملاحظه کند. اگر بلای برص از مبروص رفع شده باشد،
| And the garment, either warp, or woof, or whatsoever thing of skin it be, which thou shalt wash, if the plague be departed from them, then it shall be washed the second time, and shall be clean. | 5 | NIv2 | task654_bible_fa_en_translation | zs_opt | [
-0.6459833383560181,
0.8674231171607971,
-0.43775996565818787,
-0.014525964856147766,
-0.13787083327770233,
-0.039788804948329926,
0.530802845954895,
-0.016322845593094826,
0.9443762302398682,
-0.3881640136241913,
-0.851412296295166,
0.6325113773345947,
-0.3218880593776703,
0.7924499511718... |
Detailed Instructions: In this task, you are given a sentence in English and your task is to translate it into Spanish. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
Problem:These results will be most important in shaping the Commission' s social program... | Estos resultados serán muy importantes para la configuración del programa social de la Comisión. | 8 | NIv2 | task530_europarl_en_es_translation | zs_opt | [
-0.08269643783569336,
0.7690382599830627,
0.1729872077703476,
-0.6617678999900818,
0.10123498737812042,
-0.3836197555065155,
0.6041657328605652,
0.6938057541847229,
-0.31913870573043823,
-0.007337705232203007,
-0.45315080881118774,
-0.07136020064353943,
-0.368730366230011,
0.15376538038253... |
You will be given a definition of a task first, then some input of the task.
You are given an original reference as well as a system reference. Your task is to judge the informativeness of the system reference. If the utterance provides all the useful information from the meaning representation output 1, else output 0.... | 1 | 1 | NIv2 | task1284_hrngo_informativeness_classification | zs_opt | [
-0.7387098670005798,
0.7035902738571167,
-0.3606220483779907,
0.1430191844701767,
-0.6738847494125366,
-0.20402643084526062,
0.957365095615387,
0.5507534742355347,
-0.0774584412574768,
-0.35215920209884644,
-0.24817688763141632,
-0.3986351490020752,
-0.17024317383766174,
0.1008423343300819... |
Detailed Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Hebrew.
Problem:É um momento quase mágico.
Solution: | וזה באמת סוג של רגע קסום. | 8 | NIv2 | task1278_ted_translation_pt_he | zs_opt | [
-0.15490767359733582,
1.0499886274337769,
-0.02991902455687523,
-0.5140001177787781,
-0.1574172079563141,
0.12274926900863647,
0.6238953471183777,
-0.002172914333641529,
1.1024353504180908,
-0.398812472820282,
-0.800784707069397,
0.05698436498641968,
-0.6107052564620972,
-0.067354783415794... |
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 and a question in the input. The information provided in the sentence should be enough to answer the question. You're expected to write the correct answer. Do not use any fac... | Sandwiches. | 0 | NIv2 | task051_multirc_correct_answer_single_sentence | fs_opt | [
-0.3872373700141907,
0.2799482047557831,
0.09760042279958725,
-0.0476381853222847,
-0.3388998508453369,
-0.6424804925918579,
0.6316834092140198,
0.5487278699874878,
0.3684089779853821,
-0.09412083774805069,
-0.49358808994293213,
-0.5359441637992859,
0.20096704363822937,
-0.1289740949869156... |
Detailed Instructions: In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.
See one example below:
Problem: Questions are gathered from anonymized, aggregated queri... | Which features do they use to model Twitter messages? | 4 | NIv2 | task461_qasper_question_generation | fs_opt | [
-0.08782944828271866,
-0.3944762349128723,
-0.1365535855293274,
0.38340654969215393,
-0.005341497249901295,
-0.40807169675827026,
0.721886157989502,
0.6657776832580566,
0.15539439022541046,
0.301486074924469,
-0.5194193720817566,
0.1913754791021347,
-0.7466514110565186,
0.22947517037391663... |
Given the task definition, example input & output, solve the new input case.
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 prop... | : | 1 | NIv2 | task584_udeps_eng_fine_pos_tagging | fs_opt | [
-0.18668657541275024,
0.5408888459205627,
-0.2654217481613159,
0.3929639756679535,
-0.03597785905003548,
-0.6418734192848206,
0.4056631922721863,
1.116297960281372,
-0.4189720153808594,
-0.20788362622261047,
-0.13074758648872375,
0.26632004976272583,
-0.1349731832742691,
-0.110164247453212... |
Given the task definition and input, reply with output. 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 such that it seamlessly connects with the rest of the story.
Title: The Family Fight. Sentence 1: Kasey had found out s... | Luckily when her baby came many of them softened up. | 5 | NIv2 | task216_rocstories_correct_answer_generation | zs_opt | [
-0.5523873567581177,
1.1220003366470337,
0.26152002811431885,
-0.27398502826690674,
-0.34829914569854736,
0.3539242744445801,
0.6302676200866699,
0.7100068926811218,
0.32668179273605347,
-0.5984458923339844,
-0.5461732149124146,
0.03442356362938881,
-0.6017850637435913,
0.18234413862228394... |
Detailed Instructions: In this task, you're given a short article. Your job is to classify the article based on its category. Use the following classification labels, 0. World, 1. Sports, 2. Business, 3. Science or Technical. Label the text "0" if it contains information related to world. Label the text "1" if it conta... | 2 | 4 | NIv2 | task1541_agnews_classification | fs_opt | [
-1.0036207437515259,
0.8707805871963501,
-0.279028058052063,
0.5641303658485413,
-0.16149255633354187,
-0.08097116649150848,
0.08040765672922134,
1.0831700563430786,
0.06158376857638359,
-0.02936527505517006,
-0.5227410197257996,
0.4192807674407959,
-0.12461544573307037,
-0.212350681424140... |
Given the task definition, example input & output, solve the new input case.
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.
Example: இந்த ஒப்பந்தம் 2019, ஜனவரி மாதத்தில் டென்மார்க்கிலிருந்து இந்தியாவிற்... | ক্ষমতা অনুযায়ী চারটি ব্যাটেলিয়নকে জম্মু ও কাশ্মীর, হিমাচল প্রদেশ, উত্তরাখন্ড ও দিল্লি জাতীর রাজধানী অঞ্চলে মোতায়েন করা হবে। | 1 | NIv2 | task982_pib_translation_tamil_bengali | fs_opt | [
-0.009091349318623543,
1.142279863357544,
-0.1663157343864441,
-0.013311933726072311,
0.5812675952911377,
-0.014119857922196388,
-0.13701802492141724,
-0.3186800181865692,
-0.034194283187389374,
0.23592911660671234,
0.1023569107055664,
0.19082337617874146,
-0.213057279586792,
0.30783545970... |
Given the task definition and input, reply with output. This task is about translating a given English language sentence to Yoruba language.
However, none of our brothers and sisters have been killed in the brutal fighting.
| Àmọ́ àwọn tó ń para wọn nípakúpa náà ò rí ìkankan nínú àwọn ará wa lọ́kùnrin àti lóbìnrin pa. | 5 | NIv2 | task1685_menyo20k_translation | zs_opt | [
0.3249835968017578,
1.3671727180480957,
0.21762923896312714,
0.1377781331539154,
-0.28017720580101013,
-0.2999047338962555,
0.2532859146595001,
0.15543636679649353,
0.7113338112831116,
-0.7989962100982666,
0.07201185822486877,
0.17506472766399384,
-1.135448932647705,
0.03535598888993263,
... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
E fixo un gran traballo. | E hizo un gran trabajo. | 0 | NIv2 | task1240_ted_translation_gl_es | zs_opt | [
-0.10577099025249481,
0.984887957572937,
-0.200395405292511,
-0.3905234932899475,
0.08738395571708679,
-0.8912097215652466,
-0.08072923123836517,
0.6584290266036987,
-0.26226648688316345,
-0.5494773387908936,
-0.22446055710315704,
0.33786457777023315,
-0.29566141963005066,
0.60232269763946... |
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to concatenate all elements of A from the ith element to the jth element, and print the resultant string. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j... | kV14518735fN18696187qI1399sl1605I7127N56217939 | 4 | NIv2 | task100_concatenate_all_elements_from_index_i_to_j | zs_opt | [
-0.18700408935546875,
0.5337439775466919,
-0.168229341506958,
-0.7583357095718384,
-0.1255362182855606,
-0.19208550453186035,
0.5622181296348572,
-0.31925246119499207,
-0.10064995288848877,
0.028172079473733902,
-1.2302696704864502,
0.3792831599712372,
-0.01310290489345789,
-0.330015838146... |
Definition: In this task you will be given a list of integers. You should only return an integer if the first digit is the same as the last digit in the number. If an integer has a single digit, then it should be returned. If there are no integers that start and end with the same digit then an empty list ("[]") should ... | [-919] | 2 | NIv2 | task372_synthetic_palindrome_numbers | zs_opt | [
-0.6279138922691345,
0.26474595069885254,
-0.6582951545715332,
0.06888379901647568,
-0.2143232226371765,
0.711338460445404,
0.6603977680206299,
0.19725437462329865,
-0.3390846252441406,
-0.02272718772292137,
-0.7164816856384277,
-0.15843190252780914,
-0.13895520567893982,
-0.09614346921443... |
Detailed Instructions: 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 plausib... | a | 9 | NIv2 | task214_rocstories_incorrect_ending_classification | zs_opt | [
0.4514067769050598,
0.19114206731319427,
0.4369838833808899,
0.06741920113563538,
0.09291881322860718,
-0.07925515621900558,
0.5831238627433777,
0.7036854028701782,
0.15680411458015442,
0.4462144374847412,
-0.7250863313674927,
-0.19933319091796875,
-0.11048518121242523,
0.02067812159657478... |
Teacher: 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.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Who were the builders of the mosque in Herat with fire temple... | 1930-1976 ; 1980-1998 | 2 | NIv2 | task344_hybridqa_answer_generation | fs_opt | [
-0.24487042427062988,
0.8289493322372437,
0.32716497778892517,
-0.2408687174320221,
-0.4953700006008148,
-0.21007196605205536,
0.20782440900802612,
0.2229231745004654,
-0.23228177428245544,
-0.3738503158092499,
-0.4791933298110962,
-0.10087351500988007,
-0.5931601524353027,
-0.484090894460... |
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.
Q: उसी समय चीन ने १९५० में तिब्बत पर कब्जा कर लिया जिसकी वजहस... | Hindi | 4 | NIv2 | task427_hindienglish_corpora_hi-en_language_identification | zs_opt | [
-0.3894634246826172,
0.6882076263427734,
0.13616740703582764,
0.20299963653087616,
0.3920499086380005,
-0.4075756072998047,
0.07939090579748154,
0.8972488045692444,
0.3844057321548462,
0.28875982761383057,
-0.31920039653778076,
-0.6456639170646667,
-0.24634701013565063,
-0.3011124730110168... |
You are given a sentence in English. Your job is to translate the English sentence into Galician.
Q: So the animators were heavily dependent on the binoculars to sell his acting and emotions.
A: | Así que os animadores dependían moito dos prismáticos para amosar os seus actos e emocións. | 4 | NIv2 | task1090_ted_translation_en_gl | zs_opt | [
-0.6813403367996216,
0.32378506660461426,
0.11202000081539154,
-0.5899957418441772,
-0.353486031293869,
-0.6509491205215454,
0.444966197013855,
0.5276708006858826,
-0.550913393497467,
-0.4341065585613251,
0.08178234100341797,
0.3513869047164917,
-0.6026499271392822,
0.5726574063301086,
-... |
Detailed Instructions: In this task, you are given books product reviews in French 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.
Problem:Très bonne suite . J'entendais cette suite avec impatience e... | POS | 8 | NIv2 | task482_cls_french_books_classification | zs_opt | [
0.22547094523906708,
-0.1773180365562439,
0.05059007182717323,
-0.2625509202480316,
1.1098763942718506,
-0.5892760157585144,
1.863830804824829,
0.33175182342529297,
0.43072035908699036,
0.6658300161361694,
-0.4244494140148163,
-0.04101940244436264,
-1.1437937021255493,
0.26862001419067383,... |
You will be given a definition of a task first, then some input of the task.
You are given a short paragraph, a question and two choices to answer from. Choose the correct answer based on the paragraph and write the answer(not the key).
Paragraph: Water also gets colder as you go deeper.
Question: Going shallower int... | warmer | 1 | NIv2 | task1731_quartz_question_answering | zs_opt | [
0.22503939270973206,
0.5691293478012085,
-0.6217824220657349,
0.2502601444721222,
0.18276932835578918,
-0.9550031423568726,
0.5411354303359985,
0.6121529340744019,
0.03489057719707489,
0.10065735876560211,
0.28027981519699097,
-0.45778384804725647,
-0.2527279555797577,
-0.24590012431144714... |
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've heard so much about Japan .... | 1 | 1 | NIv2 | task1534_daily_dialog_question_classification | zs_opt | [
0.11014549434185028,
-0.2549645006656647,
-0.6314306259155273,
0.051553014665842056,
0.5097135305404663,
-0.876209020614624,
0.4969016909599304,
0.47572043538093567,
-0.9802491068840027,
0.10340075939893723,
-0.17783990502357483,
-0.0011630428489297628,
-0.07548978924751282,
0.521109819412... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Spanish.
ما سوگوار مرگ فجیع آلن کردی دوساله هستیم ، ولی از آن موقع ، بیش از دویست کودک متعاقبا در مدیترانه غرق شده اند.
Lloramos la muerte trágica del niño de 2 años, Alan Kurdi, y, no obstante, desde entonces, más de 200 niños se ... | Es por lo que el estado de Michigan dice que soy por lo que soy descalificado para cualquier tipo de adopción.
| 0 | NIv2 | task1267_ted_translation_fa_es | fs_opt | [
-0.3386251926422119,
0.7634232044219971,
-0.38596969842910767,
-0.050344206392765045,
-0.7411267757415771,
0.1191774383187294,
0.07887911051511765,
0.6702711582183838,
0.5915476083755493,
0.010121012106537819,
0.22662454843521118,
0.2106020599603653,
-0.6683882474899292,
0.9009463787078857... |
In this task, you are given books product reviews in French 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.
Q: A COMMANDER DE SUITE ! . "Mon grand père était esclave !" Rien de très surprenant pour u... | POS | 4 | NIv2 | task482_cls_french_books_classification | zs_opt | [
-0.12475968897342682,
0.15860846638679504,
-0.4672127962112427,
-0.5070822238922119,
0.3730146884918213,
0.026922006160020828,
1.2429921627044678,
0.229938343167305,
0.9421245455741882,
0.6527748107910156,
-0.8433927297592163,
-0.42103880643844604,
-0.41253912448883057,
-0.2779033482074737... |
The task is to write a full sentence or two using all of the information given. The sentence(s) will be a brief review of a restaurant. Use all of the information provided.
One example: name[xname], cuisine[Fast Food], rating[average], familyFriendly[yes], near[xnear]
Solution is here: Located near xnear, xname serves ... | With a 3 out of 5 customer rating, xname serves Japanese food in a children friendly atmosphere. | 6 | NIv2 | task1598_nyc_long_text_generation | fs_opt | [
-0.4366442561149597,
0.5750197172164917,
-1.0372169017791748,
-0.5550577640533447,
-0.3452710509300232,
-0.14508458971977234,
1.027971625328064,
0.4577534794807434,
-0.022193411365151405,
-0.8922197222709656,
0.29106786847114563,
-0.17708048224449158,
-0.5837199687957764,
0.000953160109929... |
Instructions: Given a sentence in German, generate a new German sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probabi... | Sie werden wahrscheinlich einen Fremden in einem Tal finden. | 3 | NIv2 | task416_mickey_de_sentence_perturbation_generation | zs_opt | [
-0.870514988899231,
0.9030982851982117,
-0.23518182337284088,
-0.1271827518939972,
-0.10103161633014679,
0.22612978518009186,
0.794041633605957,
1.1302170753479004,
0.18071645498275757,
-0.5907143354415894,
-0.4723413288593292,
0.18346555531024933,
-0.9853509664535522,
-0.00652258284389972... |
Given the task definition and input, reply with output. 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 fo... | C | 5 | NIv2 | task190_snli_classification | zs_opt | [
-0.2716675102710724,
0.5616253614425659,
-0.42042869329452515,
-0.06990602612495422,
-0.02998332679271698,
-0.4146842062473297,
0.1387094408273697,
0.4393773674964905,
0.3202950954437256,
-0.10729106515645981,
-0.003026191843673587,
-0.3156624436378479,
-0.4004996120929718,
-0.481932640075... |
You will be given a definition of a task first, then some input of the task.
In this task, positions of two consecutive words have been swapped. You need to output the position of the swaped words. e.g. in the sentence 'Seattle has nice a weather', the word 'a' and 'nice' have been swapped. These words are at 3rd and 4... | (5, 6) | 1 | NIv2 | task089_swap_words_verification | zs_opt | [
-0.045279450714588165,
0.6955714225769043,
-0.06844425946474075,
-0.6269756555557251,
0.41306546330451965,
-0.3053966164588928,
0.26698440313339233,
0.46693146228790283,
0.14354737102985382,
-0.035626161843538284,
-0.06054719164967537,
-0.18175601959228516,
-0.17981387674808502,
0.13618725... |
Teacher: Given news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news headlines into "Funny" and "Not Funny" that have been modified by humans using an edit word to make them funny.
Te... | Funny | 2 | NIv2 | task495_semeval_headline_classification | fs_opt | [
-0.09676332026720047,
0.24317798018455505,
0.6135873794555664,
-0.031038973480463028,
-0.07952701300382614,
-0.4347306489944458,
0.38620439171791077,
1.0449168682098389,
-0.06401744484901428,
0.27606868743896484,
-0.6689630150794983,
-0.30829137563705444,
-0.758059561252594,
-0.22157220542... |
Detailed Instructions: 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 ph... | Shelly looks for shells >Causes> Shelly feel(s) happy | 8 | NIv2 | task749_glucose_reverse_cause_emotion_detection | zs_opt | [
-0.653099536895752,
0.5537371635437012,
-0.14450791478157043,
-0.7172471284866333,
-0.18707513809204102,
-1.2628532648086548,
0.34663712978363037,
1.0770376920700073,
0.025225214660167694,
0.017232775688171387,
-0.07596622407436371,
-0.07142205536365509,
-0.03788185119628906,
-0.0917449146... |
You are provided with an "Event", "Intent" and "XEmotion" (PersonX's reactions for the given "Event"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None
--------
Question: Event:PersonX is never seen again. Inte... | fulfilled
| 7 | NIv2 | task924_event2mind_word_generation | fs_opt | [
0.015083415433764458,
0.18868523836135864,
0.05304984375834465,
-0.6176937818527222,
-0.7329859733581543,
-0.4514937400817871,
1.4726909399032593,
0.2464737743139267,
-0.027903564274311066,
-0.432298481464386,
0.4497280716896057,
-0.001606136909686029,
-0.5658382177352905,
0.50798386335372... |
TASK DEFINITION: Given the sentence, generate "yes, and" response. "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). 1 In short, a "Yes, and" is a... | All right, well, I understand, but you're welcome back anytime.
| 8 | NIv2 | task360_spolin_yesand_response_generation | fs_opt | [
0.47758692502975464,
0.8029497861862183,
0.1299223005771637,
0.27921262383461,
0.38042333722114563,
-0.8467820882797241,
0.13617129623889923,
0.4556850790977478,
-0.2935641407966614,
-0.7343869209289551,
-0.7434163093566895,
0.2723405957221985,
-0.44154679775238037,
0.4594181776046753,
0... |
You are given a concept, and a list of answers. You should generate a question about the concept that leads to the given answer(s).
Input: Consider Input: concept: Charles Darwin answers: ['On evolution']
Output: what book did charles darwin write on evolution?
Input: Consider Input: concept: Michael Bloomberg a... | Output: what city was woodstock held in?
| 2 | NIv2 | task1602_webquestion_question_genreation | fs_opt | [
-0.5577643513679504,
0.4606550931930542,
-0.07480539381504059,
-0.21601705253124237,
-0.05876673012971878,
-1.133453607559204,
0.3872815668582916,
-0.10510911047458649,
0.7654879689216614,
0.024914506822824478,
-0.4433708190917969,
-0.00037838637945242226,
-1.0510718822479248,
-0.542307019... |
instruction:
Given a sentence in the Thai, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
question:
โพลล์ดังกล่าวถูกจัดทำโดย 911truth.org ซึ่งเป็นเว็บไซต์ที่มุ่งเน้นการประฌามเหตุการณ์วันที่11กันยายน ในการบริหารของอดีตประธานาธิบ... | 3日間の協議の結果、北アイルランドの政党は、北アイルランド自治政府設立を支援する委員会議長選挙に関して膠着状態となった。
| 9 | NIv2 | task1128_alt_th_ja_translation | fs_opt | [
-0.5746263265609741,
0.058292634785175323,
-0.03859826922416687,
-0.25675541162490845,
-0.3640437424182892,
-0.5932891368865967,
1.2656692266464233,
0.1938328742980957,
-0.3248230814933777,
0.15882368385791779,
-0.47375839948654175,
0.9778334498405457,
-0.9242240190505981,
0.71847343444824... |
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.
[Q]: FIFAのウェブサイトに公開された声明には「FIFAは再度すべてのイラクの関係者に対し、一般的にはスポーツの自主性を、そして特にIFAを、尊重することを求め、IFAとFIFAの規則に従って物事を執り行うことを許可するよう求める」とあった。
[A]: សេចក្ដីថ្លែងមួយ... | ទោះជាយ៉ាងណាក៏ដោយ ទ័ពជើងទឹក គ្មានដំណឹងអំពីការហ្វឹកហាត់ដូចនេះឡើយ ហើយក៏គ្មានរបាយការណ៍ពីប្រទេសផ្សេងទៀតអំពីកប៉ាល់មុជទឹកនេះដែរ។
| 5 | NIv2 | task1121_alt_ja_khm_translation | fs_opt | [
-0.6515924334526062,
-0.3870336413383484,
-0.9315303564071655,
-0.2149120718240738,
-0.2529449164867401,
-0.6158608794212341,
1.2099368572235107,
0.7782517671585083,
-0.5944457054138184,
-0.7182044982910156,
-0.8838115930557251,
0.668013334274292,
-1.3972458839416504,
0.6034401655197144,
... |
In this task, you will be presented with a text and a pronoun. You should write the name that the pronoun refers to. Position of the pronoun in the text is showed within two "_"s.
[EX Q]: Her songwriting demos captured the attention of many record label executives and some of the songs she wrote were recorded by Patty... | Crewe
| 6 | NIv2 | task330_gap_answer_generation | fs_opt | [
-0.4371510148048401,
0.7638969421386719,
-0.9839863777160645,
0.31131255626678467,
0.48120713233947754,
0.27662861347198486,
0.3707384765148163,
0.8434847593307495,
-0.22870264947414398,
0.16517943143844604,
-0.07513433694839478,
0.1522943526506424,
-0.38498347997665405,
-0.831282436847686... |
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.
Example Input: بهرنگ علوی (متولد ۱ فروردین ماه ۱۳۵۹ه، تهران)، بازیگر ایرانی تئاتر، سینما و تلویزیون است و بیشتر شهرت وی برای نقش آفرینی فرزین رحیمی در سریال هشت و ... | همسر یکی از افراد قبیله اسکیموها در طول جنگ همراه با بچهاش فرار میکند.
| 3 | NIv2 | task395_persianqa_answer_generation | fs_opt | [
0.7800744771957397,
0.18168243765830994,
-0.17088602483272552,
0.18236909806728363,
0.5283849239349365,
0.1458771824836731,
0.7944241762161255,
0.6605204343795776,
-0.44223663210868835,
-0.10805579274892807,
-0.7278345823287964,
1.268261432647705,
-1.1704597473144531,
0.18595798313617706,
... |
In this task, you are given a dialogue between a user and an assistant, where users and assistants converse about geographic topics like geopolitical entities and locations. The task here is to find if the dialogue is by the user or assistant. Classify your answers into user and assistant.
Q: Eritrea is in the Horn of ... | assistant | 4 | NIv2 | task577_curiosity_dialogs_classification | zs_opt | [
0.8817437887191772,
0.753477931022644,
0.11073341965675354,
-0.38276442885398865,
-0.43567734956741333,
-0.05390608310699463,
1.1102712154388428,
-0.9892083406448364,
0.6537122130393982,
0.021606415510177612,
-0.19263611733913422,
0.4095829129219055,
-0.9937875270843506,
0.365519255399704,... |
Write an incorrect answer to the given question based on the associated fact. You are also provided with the correct answer to the given question. Make sure that your incorrect answer is relevant and similar to the associated fact. Also, try to make the incorrect answer similar to the correct answer so that distinguish... | beneficial.
| 6 | NIv2 | task042_qasc_incorrect_option_generation | fs_opt | [
0.19966942071914673,
0.5949244499206543,
-0.4839443862438202,
0.32912778854370117,
-0.1615314781665802,
-1.493019461631775,
0.057257045060396194,
0.8874847888946533,
-0.4849006235599518,
0.2869704067707062,
-0.8606680631637573,
0.22803793847560883,
-0.8713377714157104,
0.175531268119812,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a summary for US Congressional and California state bill, your task is to generate a Title for this bill. The preferred titles are under forty words and mention the purpose of the bill.
Clarifying Commercial Real E... | Clarifying Commercial Real Estate Loans | 1 | NIv2 | task1659_title_generation | zs_opt | [
-0.028820358216762543,
-0.009437596425414085,
0.1650201678276062,
0.24941760301589966,
0.32921484112739563,
0.01731134206056595,
0.23862572014331818,
1.1852686405181885,
-0.20848140120506287,
0.17817041277885437,
0.03283058851957321,
-0.14609187841415405,
-1.0991498231887817,
0.03437313064... |
Q: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
Y aunque puede ser ilógico, son buenas noticias.
A: | and even if counterintuitive, it's good news. | 7 | NIv2 | task1226_ted_translation_es_en | zs_opt | [
-0.8339359164237976,
0.919995903968811,
0.5776435136795044,
-0.3001537621021271,
-0.46017536520957947,
-1.027042031288147,
-0.30568623542785645,
0.7009307146072388,
0.27581751346588135,
-0.28291556239128113,
-0.9654883742332458,
0.4684825539588928,
-0.33311253786087036,
-0.0750565081834793... |
Definition: 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.
Input: しかしベル氏は自分はそのポストに不適切だと述べ、固辞した。
Output: | Gayunpaman, sinabi ni Bell na hindi nararapat na kunin niya ang posisyon kaya siya ay tumanggi. | 2 | NIv2 | task1118_alt_ja_fil_translation | zs_opt | [
-0.5170789957046509,
0.11510798335075378,
-0.2168484926223755,
-0.12442784011363983,
0.2864522933959961,
-0.292783260345459,
0.8607813119888306,
0.18707241117954254,
0.507164716720581,
-0.37356266379356384,
-1.0173625946044922,
0.6648118495941162,
-1.054809331893921,
0.9425208568572998,
... |
Detailed Instructions: This task is about translating a given French language sentence to English.
Problem:Il est possible que Wargaming n'aurait pas été où il se trouve aujourd'hui s'il n'avait pas croisé le chemin du studio Arise.
Solution: | It is possible that Wargaming would not be where it is now had it not crossed paths with the Arise studio. | 8 | NIv2 | task1690_qed_amara_translation | zs_opt | [
0.35804250836372375,
0.35091763734817505,
0.6106640696525574,
-0.19576644897460938,
-0.1588137149810791,
-1.1091755628585815,
-0.003906932193785906,
0.07853932678699493,
0.23541027307510376,
0.16005191206932068,
0.6391588449478149,
-0.38184797763824463,
-0.5320780277252197,
-0.447714895009... |
A text is given in Bengali. Translate it from the Bengali language to the Malayalam language. The translation must not omit or add information to the original sentence.
One example: ഇത്തരത്തിലുള്ള അഞ്ച് ആശയവിനിമയ പരിപാടികളില് ആദ്യത്തേതായിരുന്നു ഇത്
Solution is here: এই পাঁচটি যোগাযোগ প্রোগ্রাম প্রথম ছিল
Explanation: C... | ভারত ও নেপালের জনসাধারণের মধ্যে যে এক সুপ্রাচীন ও বলিষ্ঠ সাংস্কৃতিক তথা ধর্মীয় সম্পর্ক রয়েছে, এই ঘটনা তার এক উজ্জ্বল উদাহরণ বলে মনে করেন শ্রী নরেন্দ্র মোদী। | 6 | NIv2 | task1004_pib_translation_malayalam_bengali | fs_opt | [
0.20907475054264069,
-0.06965535879135132,
0.1269550323486328,
-0.24334454536437988,
0.019615860655903816,
-0.48151618242263794,
0.5103814005851746,
1.098434567451477,
-0.22045618295669556,
0.019909515976905823,
-1.156782627105713,
-0.6677815914154053,
-0.6094622611999512,
0.17777279019355... |
Instructions: In this task, you are given an article. Your task is to summarize the article in a sentence.
Input: So he headed for China.
"The solar industry was fairly small and there weren't a lot of jobs," he remembers. "Just a few for installation." But the Chinese government had big ambitions to expand solar and M... | Ten years ago, Geof Moser had just graduated with a master's degree in solar energy from Arizona State University - but he didn't feel much opportunity lay at his feet in his home country. | 3 | NIv2 | task1290_xsum_summarization | zs_opt | [
-0.1776399314403534,
1.1480094194412231,
-0.7653487920761108,
-0.06245163083076477,
0.4523746371269226,
-0.004281198140233755,
0.3135037422180176,
1.4588664770126343,
-0.11986103653907776,
0.8014718294143677,
0.08861999958753586,
0.904150128364563,
-0.23698893189430237,
0.6802840232849121,... |
Instructions: 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.
Input: Comment: If you think it is possible to predict the future with 100% confi... | Non-insult | 3 | NIv2 | task328_jigsaw_classification_insult | zs_opt | [
-1.218747615814209,
0.6113489270210266,
0.6329569816589355,
0.2952784299850464,
-0.07769560813903809,
-0.2643858790397644,
0.6977574229240417,
0.40424537658691406,
0.3921034336090088,
0.11647587269544601,
-0.06641435623168945,
0.16022989153862,
-0.23903195559978485,
-0.46104955673217773,
... |
Given an abstract, and a few options, indicate if any of the given options appropriately describe the given abstract. If any of them is a proper keyword, answer 'Yes', otherwise answer 'No'.
Example input: Abstract: Some patients converted from ventricular fibrillation to organized rhythms by defibrillation-trained am... | No | 3 | NIv2 | task623_ohsumed_yes_no_answer_generation | fs_opt | [
0.8910843133926392,
0.34329164028167725,
-0.5237491130828857,
0.421281635761261,
0.2679494023323059,
-0.6198692917823792,
0.7966839671134949,
0.5467904210090637,
0.3295154869556427,
0.18370884656906128,
-0.5739858746528625,
0.5690922737121582,
-0.14696627855300903,
0.587195098400116,
0.2... |
Detailed 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.
Problem:BORING WITH A TOTAL LACK OF CLARITY . I had never read any... | NEG | 8 | NIv2 | task476_cls_english_books_classification | zs_opt | [
0.2425907999277115,
0.36915212869644165,
-0.22024402022361755,
0.3073636591434479,
0.6352725028991699,
-0.6333879828453064,
1.5196114778518677,
0.5225830674171448,
-0.2399870604276657,
0.3205082416534424,
-0.7408931851387024,
-0.09481491148471832,
-0.5173162817955017,
-0.33553430438041687,... |
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: Lewis knew the cave like the back of his hand. Sentence2: ... | No
| 5 | NIv2 | task298_storycloze_correct_end_classification | fs_opt | [
-0.5073536038398743,
0.5648159384727478,
0.08154501765966415,
-0.6628023982048035,
0.28452223539352417,
-1.0742051601409912,
-0.18335020542144775,
0.996244490146637,
0.13169997930526733,
0.03676575794816017,
-0.2412245124578476,
-0.10675230622291565,
-0.43526315689086914,
-0.15557423233985... |
instruction:
Given a sentence in Italian, generate a new Italian 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 probab... | Un'isola è un pezzo di terra circondata dall'acqua.
| 9 | NIv2 | task408_mickey_it_sentence_perturbation_generation | fs_opt | [
-0.8111411333084106,
0.3800736665725708,
-0.8595403432846069,
0.1671563982963562,
-0.3640843331813812,
-0.6381915807723999,
0.4285026490688324,
0.82459557056427,
-0.08386893570423126,
-0.7744911909103394,
-0.905991792678833,
-0.08615720272064209,
0.03010787069797516,
0.12216688692569733,
... |
Given the task definition and input, reply with output. In this task, you are given a sentence from the Quran in English, and your task is to translate it into Persian.
Those who reject our Signs, We shall soon cast into the Fire: as often as their skins are roasted through, We shall change them for fresh skins, that ... | یقینا کسانی که به آیات ما کافر شدند به زودی آنان را به آتشی [شکنجه آور و سوزان] درآوریم، هرگاه پوستشان بریان شود، پوستهای دیگری جایگزین آن میکنیم تا عذاب را بچشند؛ یقینا خدا توانای شکست ناپذیر و حکیم است. | 5 | NIv2 | task656_quran_en_fa_translation | zs_opt | [
-0.4425703287124634,
1.3554346561431885,
0.04738275706768036,
-0.4827844500541687,
-0.9018927812576294,
-1.073408842086792,
0.5138041973114014,
0.5540601015090942,
0.06686139106750488,
0.3006959557533264,
-0.1892997771501541,
0.5662777423858643,
-0.9795559048652649,
0.39393484592437744,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language.
Un bărbat pune brânză mărunțită pe o pizza.
Solution: A man... | A woman slices tofu. | 0 | NIv2 | task1435_ro_sts_parallel_language_translation_ro_to_en | fs_opt | [
-0.6405594348907471,
0.5282919406890869,
0.8412362337112427,
-0.21960631012916565,
0.16371004283428192,
0.5032079219818115,
1.136873722076416,
0.5511536598205566,
0.8298897743225098,
-0.4874900281429291,
-0.3275742530822754,
0.6359865069389343,
-0.47360900044441223,
0.06667964160442352,
... |
You are given a question. You need to detect which category better describes the question. A question belongs to the description category if it asks about description and abstract concepts. Entity questions are about entities such as animals, colors, sports, etc. Abbreviation questions ask about abbreviations and expre... | Person
| 3 | NIv2 | task1289_trec_classification | fs_opt | [
0.0068499124608933926,
-0.21545252203941345,
0.14899060130119324,
-0.46252626180648804,
-0.2926739454269409,
-0.8606240153312683,
0.5596652626991272,
-0.043502919375896454,
0.0842137262225151,
-0.43296945095062256,
-0.8330327272415161,
-0.06289549171924591,
-0.46862366795539856,
-0.0281812... |
In this task, you are given a sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
Example Input: English: A Norwegian Member of Parliament (MP) whose daughter killed... | No
| 3 | NIv2 | task437_alt_en_ja_answer_generation | fs_opt | [
-0.04494008421897888,
-0.4845329523086548,
0.141710564494133,
0.2534008026123047,
0.3969578742980957,
-0.40221473574638367,
0.5041389465332031,
0.7048330307006836,
-0.12398967146873474,
0.038989290595054626,
-0.19597604870796204,
0.6456723213195801,
-0.5080857276916504,
-0.0608066916465759... |
Given a set of four words, generate the category that the words belong to. Words are separated by commas. The possible categories are social gathering, accomodation, physical property, measurement unit, corporate, nutritional value, boats, police punishment, location (proximity), card games, outdoor sport activity, mil... | bird
| 0 | NIv2 | task143_odd-man-out_classification_generate_category | fs_opt | [
0.10480257868766785,
0.03264857828617096,
-0.6401172876358032,
0.2789629399776459,
0.03453293442726135,
-0.47105178236961365,
-0.3202696144580841,
0.5104626417160034,
0.17804864048957825,
-0.1048465222120285,
-0.25432533025741577,
-0.0919431820511818,
-0.44358816742897034,
-0.2182323932647... |
In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independence of Catalonia then it's 'Against' and if the tweets support it then it wi... | Output: Favor
| 2 | NIv2 | task1646_dataset_card_for_catalonia_independence_corpus_text_classification | fs_opt | [
0.09202583134174347,
0.3485516905784607,
-0.38384488224983215,
0.4557693600654602,
-0.3655155897140503,
-1.240069031715393,
0.34315621852874756,
0.9212843179702759,
0.2720113694667816,
0.5306954979896545,
-0.7917240262031555,
0.2990925908088684,
0.30381834506988525,
-0.36813974380493164,
... |
Detailed Instructions: You will be given a text in the Russian language, and you should classify the given input text to one of the emotion labels from this list of emotion labels- ['joy', 'sadness', 'surprise', 'fear', 'anger']. Make sure your output label (i) is strictly present in the given list of emotion labels. (... | anger | 9 | NIv2 | task1662_cedr_ru_classification | zs_opt | [
-1.2596354484558105,
-0.1592702865600586,
-0.04968440532684326,
-0.24206078052520752,
-0.694770336151123,
-0.33607321977615356,
0.5615054368972778,
0.753286600112915,
-0.030314214527606964,
-0.17453138530254364,
-0.043925441801548004,
0.23166698217391968,
0.20809383690357208,
0.42628872394... |
You are given a question. You need to detect which category better describes the question. A question belongs to the description category if it asks about description and abstract concepts. Entity questions are about entities such as animals, colors, sports, etc. Abbreviation questions ask about abbreviations and expre... | Solution: Description | 5 | NIv2 | task1289_trec_classification | fs_opt | [
0.14763358235359192,
0.2512287199497223,
0.03998429328203201,
-0.49520599842071533,
-0.32027411460876465,
-1.0525400638580322,
0.7294156551361084,
-0.40854793787002563,
0.03527522832155228,
-0.18272247910499573,
-0.7953120470046997,
-0.05361654609441757,
-0.4801829159259796,
-0.00241222162... |
Instructions: Given a sentence in the Japanese and Filipino language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Input: Japanese: スコットランドの納税者から資金を得て、その結果はBritishJournalofPsychiatryに掲載された。
Filipino: Bin... | Yes | 3 | NIv2 | task1120_alt_ja_fil_answer_generation | zs_opt | [
-1.2238149642944336,
-0.44660669565200806,
0.020822498947381973,
-0.45789235830307007,
0.22778761386871338,
-0.7745726704597473,
0.7600688934326172,
0.1812431663274765,
0.15083163976669312,
-0.4502204954624176,
-0.2552192211151123,
0.7143402099609375,
-0.36186620593070984,
0.51280039548873... |
In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independence of Catalonia then it's 'Against' and if the tweets support it then it wi... | Favor | 6 | NIv2 | task1646_dataset_card_for_catalonia_independence_corpus_text_classification | fs_opt | [
-0.3682320713996887,
0.22496604919433594,
0.25016120076179504,
0.4954445958137512,
-0.8794980049133301,
-0.7671729326248169,
0.6234323382377625,
0.5908358097076416,
0.20176807045936584,
0.4380122125148773,
-0.33649584650993347,
-0.49993202090263367,
0.36724334955215454,
-0.2712650895118713... |
Q: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Hebrew.
pode crescer, pode-se cultivá-la, e — já mencionei? — é muito saborosa.
A: | הוא יכול לגדול, אפשר לגדל אותו, והזכרתי שהוא מאוד טעים. | 7 | NIv2 | task1278_ted_translation_pt_he | zs_opt | [
-0.5887987017631531,
1.269789218902588,
0.32685333490371704,
0.3891739249229431,
-0.6947020292282104,
-0.23992407321929932,
-0.1381143033504486,
0.7534401416778564,
0.5164974331855774,
-0.5437625646591187,
-0.6751079559326172,
0.15391263365745544,
-1.511843204498291,
0.23807217180728912,
... |
In this task, you are given a sentence in the Bulgarian language. Here, your job is to convert bulgarian sentence into the english language.
Input: Consider Input: Възстановяване на запасите от атлантическа треска (
Output: Recovery of cod stocks (
Input: Consider Input: Необходимо е в крайна сметка да бъде постигн... | Output: The Commission must now thoroughly analyse the effects of this new legislation so that we know what effect it will have at the end of the day.
| 2 | NIv2 | task271_europarl_translation | fs_opt | [
0.5534770488739014,
0.5126289129257202,
-0.11327584087848663,
-0.5929064750671387,
-0.14122016727924347,
-0.63506019115448,
0.1815343201160431,
0.9752647876739502,
-0.23005521297454834,
0.4671406149864197,
-0.20335140824317932,
0.2597983479499817,
-0.015199536457657814,
-0.2732329964637756... |
Part 1. Definition
The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Catalan Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and form of each sentence in the C... | Tras una corta pausa, él reanudó la conversación diciendo: | 7 | NIv2 | task1652_opus_books_ca-en_translation | fs_opt | [
0.37860220670700073,
0.6964823007583618,
-0.07445289194583893,
-0.2535881996154785,
0.23465532064437866,
-0.805546760559082,
0.6853508949279785,
-0.2863156199455261,
-0.19420215487480164,
-0.43894967436790466,
-0.09454316645860672,
0.06769969314336777,
-1.1711220741271973,
-0.2745307087898... |
Teacher: In this task, the input is a set of dialogues between a user and an assistant. You need to find the dialogue that is basically a response given to a question or an aspect of the user.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Hi. I want information about Namibi... | Kosovo has a mediterranean mild climate. Winters are cold but lack rainfall. | 2 | NIv2 | task576_curiosity_dialogs_answer_generation | fs_opt | [
0.3187060058116913,
0.14957496523857117,
-0.3769289255142212,
-0.6389572620391846,
-0.28243330121040344,
-0.6231691837310791,
1.3128035068511963,
-0.0035236261319369078,
0.13544775545597076,
0.524022102355957,
-0.1646110564470291,
-0.3313251733779907,
-0.4808688759803772,
0.004285695962607... |
Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
Input: אני עצמי נהגתי כך.
Output: | فعلت ذلك بنفسي | 3 | NIv2 | task1237_ted_translation_he_ar | zs_opt | [
-0.20836585760116577,
0.37051331996917725,
0.5530092120170593,
-0.1704137623310089,
-0.7915946245193481,
0.06485474109649658,
0.5396772623062134,
0.2862333357334137,
0.4244542419910431,
0.02660343609750271,
-0.7936835289001465,
-0.18000955879688263,
-0.8900527954101562,
-0.218210369348526,... |
Q: In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/existing words removed.... | Tony refused to lift weights every day. | 7 | NIv2 | task068_abductivenli_incorrect_answer_generation | zs_opt | [
0.2547103762626648,
0.9677325487136841,
0.6740118265151978,
-0.32272613048553467,
0.03153330087661743,
-0.6411291360855103,
0.08804571628570557,
0.4599717855453491,
-0.05730074644088745,
-0.43046998977661133,
-0.6701128482818604,
0.4595905542373657,
-0.6525925993919373,
-0.2017125189304351... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | No | 8 | NIv2 | task1204_atomic_classification_hinderedby | fs_opt | [
0.6298023462295532,
0.165140762925148,
0.7643736004829407,
-0.020660758018493652,
-0.5452800393104553,
-1.4232707023620605,
0.23832592368125916,
0.29366034269332886,
-0.3988913595676422,
0.04071434587240219,
-0.7648370862007141,
-0.5200673341751099,
-0.4501210153102875,
-0.3390073180198669... |
Teacher: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 the on... | a | 6 | NIv2 | task214_rocstories_incorrect_ending_classification | zs_opt | [
0.06543906033039093,
0.043890807777643204,
0.3425638675689697,
-0.26467055082321167,
-0.022540129721164703,
0.05372177064418793,
0.3612746298313141,
0.8989777565002441,
0.12656345963478088,
0.029513515532016754,
-0.18801093101501465,
-0.5933870077133179,
-0.017906829714775085,
-0.322626978... |
In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by two, if the element is odd you should multiply by three then add one. The output should be a list of integers that is the result of applying that logic to the input list.
Q: [123, 115, 78, 177, ... | [370, 346, 39, 532, 79, 34, 310, 100, 310] | 4 | NIv2 | task206_collatz_conjecture | zs_opt | [
-0.23792321979999542,
0.3777325451374054,
-0.0762060135602951,
-1.022080421447754,
-0.31879323720932007,
-0.3429550528526306,
1.3420569896697998,
-0.26082348823547363,
-0.3104231059551239,
0.724496603012085,
-0.9069795608520508,
-0.16036805510520935,
-0.3350915312767029,
-0.115131564438343... |
Teacher:Construct a question that every answer in the list is correct and reasonable for it.
Teacher: Now, understand the problem? Solve this instance: movie lines, phone number, name, joke, dream, memory
Student: | other than a song name something that gets stuck in your head. | 6 | NIv2 | task821_protoqa_question_generation | zs_opt | [
-0.28113746643066406,
0.6111828684806824,
0.11830590665340424,
-1.5447903871536255,
-0.27853158116340637,
-0.5898119807243347,
1.0638974905014038,
-0.3682919144630432,
0.09172289818525314,
-0.8267676830291748,
-0.44689637422561646,
-0.15536461770534515,
-1.0561861991882324,
-0.867171406745... |
Detailed Instructions: 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).
Problem:Respecto de la protección social, confirmo que hemos hecho propuestas sobre el b... | In terms of social protection, I can confirm that we have made proposals about qualified majority or unanimous voting but these are regardless of ideology. | 8 | NIv2 | task531_europarl_es_en_translation | zs_opt | [
-0.35575711727142334,
0.7780128717422485,
0.6526584625244141,
-0.6214907169342041,
-0.3283390402793884,
-1.3269667625427246,
1.0589827299118042,
0.9321610331535339,
-0.159323588013649,
0.05147417634725571,
-0.6722912192344666,
-0.32297754287719727,
-1.0205211639404297,
0.10738056898117065,... |
Detailed Instructions: A piece of text from one of these 5 languages - French, English, Dutch, Somali, Tagalog is given. Generate the language to which the text belongs.
Q: Text: Moins d'emplois perdus et donc moins de coûts de chômage pour le trésor public.
A: | French | 9 | NIv2 | task447_opus_paracrawl_classification | zs_opt | [
0.4131025969982147,
0.28582143783569336,
0.42039093375205994,
-0.3063795864582062,
0.4256940484046936,
0.025542091578245163,
0.1072339415550232,
0.45564255118370056,
0.29798296093940735,
0.02620086260139942,
-0.24047943949699402,
-0.5064843893051147,
-0.3781057596206665,
0.6559672951698303... |
You will be given a definition of a task first, then some input of the task.
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.
ਇੱਕ ਹੋਰ ਵਜ੍ਹਾ ਕਰਕੇ, ਜਿਸਦੀ ਵਜ੍ਹਾ ਨਾਲ ਮੈਂ ਤੁਹਾਨੂੰ ਇਸ ਪ੍ਰੋਜੈਕਟ ਬਾਰੇ ਥੋੜ੍ਹਾ ਹੋਰ ਵਿਸ... | ନମନୀୟ ନିଷ୍ପତ୍ତି, ଭଲ ପ୍ରତିଭା ଏବଂ ଟେକ୍ନୋଲଜି- ଏହି ତିନୋଟି ଜିନିଷ କୌଣସି ସଂସ୍ଥାନରେ ଯୋଡ଼ି ହୋଇ ଯିବେ ତ ତାହାର ପ୍ରଗତିକୁ କେହି ରୋକି ପାରିବେ ନାହିଁ । ଆଉ ମୋତେ ଅବଗତ କରାଯାଇଛି କି ଟେକ୍ନୋଲଜି କ୍ଷେତ୍ରରେ ନବସୃଜନକୁ ପ୍ରୋତ୍ସାହନ ଦେବା ପାଇଁ ଆପଣ ସମସ୍ତେ ଯେଉଁ ଉପସ୍ଥାପନା କଲେ, ଟେକ୍ ଅପ୍ ଇଣ୍ଡିଆ (Tech Up India)ମିଶନକୁ ପ୍ରାଥମିକତା ଦେବାର ନିଷ୍ପତ୍ତି ନେଇଛନ୍ତି । ମୁଁ ଏ... | 1 | NIv2 | task1040_pib_translation_punjabi_oriya | zs_opt | [
-0.24613109230995178,
1.2678639888763428,
0.09343498200178146,
0.06445649266242981,
-0.0805530846118927,
-0.5940734148025513,
1.032827377319336,
0.9739551544189453,
0.14524152874946594,
0.04870983213186264,
-0.44849738478660583,
-0.6705377101898193,
-0.4041500389575958,
-0.0639453381299972... |
In this task, you will be shown a correct English sentence. You need to generate an incorrect form of the input sentence.
Q: The first clue is that there are rocks near the coast which are considered to have been made by Chinese explorers .
A: | The first clue is that there are rocks near the coast which are considered to be made by Chinese explorers . | 4 | NIv2 | task1558_jfleg_incorrect_answer_generation | zs_opt | [
0.44951754808425903,
1.1525688171386719,
-1.1568222045898438,
-0.38565298914909363,
0.0645737498998642,
-0.4346279501914978,
-0.2982891798019409,
0.6148980259895325,
0.17431388795375824,
-0.06447606533765793,
0.8906311988830566,
-0.2350524216890335,
-0.23197470605373383,
-0.297438144683837... |
Q: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) its answer is a continuous text span from the paragraph. Avoid cre... | What kind of church is Westminster Abbey? | 7 | NIv2 | task074_squad1.1_question_generation | zs_opt | [
0.45402026176452637,
1.4373924732208252,
-0.013722797855734825,
-0.6318026185035706,
0.4770427942276001,
-1.0622464418411255,
0.37617361545562744,
0.22232842445373535,
0.8617371320724487,
-0.19996079802513123,
0.3944603204727173,
0.6161041259765625,
-0.7442206740379333,
0.22267693281173706... |
Q: A text is given in Gujarati. Translate it from the Gujarati language to the Urdu language. The translation must not omit or add information to the original sentence.
પ્રધાનમંત્રીએ ભારત અને ફ્રાંસ વચ્ચે સંબંધોને ગાઢ બનાવવામાં શ્રી લે ડ્રિયાનની હાલની ભૂમિકા અને ફ્રાંસનાં સંરક્ષણ મંત્રી તરીકેની અગાઉની ભૂમિકાની પ્રશંસા ... | نئی دہلی،17نومبر،یوروپ اور خارجی امور کے فرانسیسی وزیر جناب جین-ویس لی ڈیرین نے آج وزیراعظم جناب نریندر مودی سے ملاقات کی۔ انہوں نے جون 2017 میں وزیراعظم کے دورہ فرانس کے فالو اپ کے طور پر دو طرفہ رشتے میں ہونے والی حالیہ پیش رفت کے بارے میں وزیراعظم کو آگاہ کیا۔ | 7 | NIv2 | task1001_pib_translation_gujarati_urdu | zs_opt | [
-0.7195447683334351,
0.9908204078674316,
-0.448731005191803,
-0.8701745867729187,
0.026532046496868134,
-0.17412860691547394,
0.8187419772148132,
-0.478063702583313,
-0.05143100023269653,
-0.38304075598716736,
-0.685977578163147,
0.01832990162074566,
-0.23899191617965698,
0.411971181631088... |
Detailed Instructions: 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 does... | False | 8 | NIv2 | task1507_boolean_temporal_reasoning | zs_opt | [
0.2112596035003662,
0.14164337515830994,
-0.4481126070022583,
0.6711850166320801,
-0.5211493968963623,
-0.3485568165779114,
-0.2341824769973755,
0.8304973840713501,
-0.8788151741027832,
0.05091451108455658,
-0.49132269620895386,
-0.6580862998962402,
0.050095461308956146,
-0.485551148653030... |
Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to classify the genre of the sentences from the 10 options displayed. Indicate your answer by entering the number of the choice as 1-10.
Input: Sentence 1: team and movies of the basketball team and we tried to be a par... | 5 | 3 | NIv2 | task198_mnli_domain_classification | zs_opt | [
-0.3130694031715393,
0.5037180781364441,
0.324567049741745,
-0.0728735700249672,
0.27563369274139404,
0.20151224732398987,
0.6543682813644409,
0.7702350616455078,
-0.12098327279090881,
-0.17024505138397217,
-0.530714750289917,
-0.36607930064201355,
-0.583050549030304,
-0.682217001914978,
... |
In this task, you are given inputs 'i', 'j', and A, where 'i' and 'j' are integers and A is a list. A list is shown by two brackets and comma-separated numbers and characters inside, like ['1', '12', 'l']. You need to concatenate all elements of A from the ith element to the jth element, and then reverse the resulting ... | v | 0 | NIv2 | task267_concatenate_and_reverse_all_elements_from_index_i_to_j | zs_opt | [
0.05202458053827286,
-0.06445708870887756,
-0.45534950494766235,
-0.04448738694190979,
-0.03838757053017616,
0.3803178668022156,
0.696640133857727,
0.14288997650146484,
-0.3885926902294159,
-0.047223448753356934,
-1.1081557273864746,
0.1086203008890152,
0.06673986464738846,
-0.605990350246... |
Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
Input: Cualquier persona puede experimentar la música profundamente, sólo necesitamos hacer diferentes herramientas.
Output: | כולם יכולים לחוות מוסיקה בצורה עמוקה, אנחנו רק צריכים לבנות כלים אחרים. | 3 | NIv2 | task1229_ted_translation_es_he | zs_opt | [
-0.24721691012382507,
0.9361890554428101,
-0.42232173681259155,
-0.016586242243647575,
-0.007067273370921612,
-0.21318553388118744,
0.9082740545272827,
0.026561859995126724,
0.7576190233230591,
-0.2601005434989929,
0.09173443913459778,
-0.18002726137638092,
-0.7453106641769409,
-0.36184507... |
Part 1. Definition
You are shown a conversation between a user and system. Identify who has spoken the indicated sentence based on the conversation.
Part 2. Example
Sentence1:i need a place to dine in the center thats expensive Sentence2: I have several options for you; do you prefer African, Asian, or British food? Se... | Answer: (A) User | 7 | NIv2 | task638_multi_woz_classification | fs_opt | [
0.6270787715911865,
0.4353483021259308,
-0.1757238656282425,
-0.42164069414138794,
-0.09275873005390167,
-0.8578135371208191,
0.5698419809341431,
0.7391992211341858,
-0.16562381386756897,
-0.18087390065193176,
-0.3589096665382385,
0.12099110335111618,
-0.775972843170166,
-0.030979994684457... |
Given the task definition and input, reply with output. A text is given in Gujarati. Translate it from the Gujarati language to the Urdu language. The translation must not omit or add information to the original sentence.
اس مشن نے ریزرو بینک آف انڈیا (آر بی آئی ) ، ڈپارٹمنٹ آف فائننشیل سروسز (ڈی ایف ایس ) اورانڈین بی... | રિઝર્વ બેંક ઑફ ઇન્ડિયા (RBI), નાણાંકિય સેવા વિભાગ (DFS) અને ઈન્ડીયન બેંકર્સ એસોસિએશન (IBA) ના સહયોગથી હાથ ધરાયેલુ આ મિશન સ્વ-સહાય જૂથોને ઉપલબ્ધ થઈ રહેલુ બેંકોનુ વિશાળ ધિરાણ મેળવવામાં સફળ રહ્યું છે. | 5 | NIv2 | task1002_pib_translation_urdu_gujarati | zs_opt | [
-0.09897652268409729,
1.1980563402175903,
-0.13023462891578674,
-0.43821048736572266,
-0.10726042091846466,
-0.04243554547429085,
0.7656936645507812,
-0.3535899519920349,
0.12827232480049133,
-0.46494102478027344,
-1.0886201858520508,
-0.20973820984363556,
-0.5250193476676941,
0.2512230277... |
Teacher: This task is to find the number of 'For' loops present in the given cpp program.
Teacher: Now, understand the problem? If you are still confused, see the following example:
main()
{
float a[4];
float k;
float c;
int i;
for(i=0;i<4;i++)
{
scanf("%f",&a[i... | 2 | 2 | NIv2 | task921_code_x_glue_information_retreival | fs_opt | [
-0.7154571413993835,
0.17224988341331482,
-0.0832054615020752,
-0.6154824495315552,
-0.15151482820510864,
-0.33153438568115234,
0.44092825055122375,
1.220772385597229,
-0.7155421376228333,
0.17354166507720947,
0.08251924067735672,
0.019715074449777603,
-0.09415966272354126,
-0.121656775474... |
Q: In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each citing text. The corre... | holding that automobile racing is not an ultrahazardous activity | 7 | NIv2 | task287_casehold_legal_incorrect_answer_generation | zs_opt | [
0.3223345875740051,
0.3289934992790222,
0.06100209057331085,
0.6553215384483337,
-0.0026585045270621777,
-1.0220433473587036,
0.3016520142555237,
0.9887436628341675,
0.3912540674209595,
0.2346402406692505,
-0.30482789874076843,
0.04848432540893555,
-0.3935259282588959,
-0.04615519940853119... |
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.
--------
Question: 爆発は、窓を壊し、外に停められていた警察車両を傷つけるなどデュランゴの警察兵舎に深刻なダメージを与えた。
Answer: Ledakan menyebabkan kerusakan yang serius pada asrama pol... | Kendaraan Royal Mail tidak dapat masuk atau keluar dari London, atau antara lokasi-lokasi Royal Mail di pusat London sepanjang hari ini.
| 7 | NIv2 | task1115_alt_ja_id_translation | fs_opt | [
-0.2569722831249237,
-0.06954900175333023,
-0.5052158832550049,
-0.5410900712013245,
0.06303101778030396,
-0.7580505609512329,
0.005411086603999138,
0.20981313288211823,
-0.0011662656906992197,
-0.2729724645614624,
-0.41206681728363037,
1.0913840532302856,
-1.221540093421936,
0.06152378767... |
Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building ... | jump around left twice and jump around right
****
| 4 | NIv2 | task131_scan_long_text_generation_action_command_long | fs_opt | [
0.5195288062095642,
0.5981339812278748,
-0.332138329744339,
-0.059451356530189514,
0.23297065496444702,
0.04323100298643112,
0.33558189868927,
0.9731771349906921,
-0.19681069254875183,
-0.17560726404190063,
-0.85997074842453,
-0.26280415058135986,
-0.7301682233810425,
-0.06943457573652267,... |
Definition: In this task, you are given Wikipedia articles on a range of topics as passages and a question from the passage. We ask you to answer the question by classifying the answer as 0 (False) or 1 (True)
Input: Passage: Languages of the United States -- Many languages are spoken, or historically have been spoken,... | 0 | 2 | NIv2 | task1661_super_glue_classification | zs_opt | [
0.5172377824783325,
0.038789741694927216,
0.18517562747001648,
0.23661357164382935,
-0.12884938716888428,
0.12805317342281342,
0.7185510396957397,
0.5844635963439941,
-0.4218495488166809,
-0.3793177306652069,
-0.21442139148712158,
0.31037694215774536,
-0.261680006980896,
0.0102228363975882... |
Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's beli... | green_envelope
| 6 | NIv2 | task153_tomqa_find_location_hard_clean | fs_opt | [
0.17851586639881134,
-0.6600440740585327,
-0.4725075960159302,
0.026284392923116684,
-0.015827815979719162,
-0.3227083086967468,
0.1341070681810379,
0.7471678853034973,
0.05876205861568451,
-0.2643148899078369,
-0.30555111169815063,
0.43541550636291504,
0.25269508361816406,
-0.016479598358... |
Instructions: Given a sentence in German, generate a new German sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probabi... | Sie können einen Friedensakt platzieren, um die Kinder besetzt zu lindern. | 3 | NIv2 | task416_mickey_de_sentence_perturbation_generation | zs_opt | [
-0.26832491159439087,
0.8462561368942261,
-0.4333997368812561,
-0.3449912965297699,
-0.20424790680408478,
-0.17159216105937958,
1.6245036125183105,
0.769445538520813,
0.79791259765625,
-0.816759467124939,
-0.120645672082901,
0.630170464515686,
-1.0922119617462158,
-0.17961739003658295,
-... |
Teacher:Categorize the comment on the basis of threat. If the comment is threatening output Yes, otherwise output No.
Teacher: Now, understand the problem? Solve this instance: Somebody flagged it....probably the resident hall monitor.
Student: | No | 6 | NIv2 | task1722_civil_comments_threat_classification | zs_opt | [
-0.17158998548984528,
0.7328048944473267,
0.31488025188446045,
0.08909356594085693,
-0.1278664767742157,
-0.7812782526016235,
0.41777899861335754,
0.7593281269073486,
0.40742164850234985,
0.0721357986330986,
-0.06328314542770386,
0.009113315492868423,
-0.4660436511039734,
-0.79054290056228... |
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