inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
This is our book group selection this month and I was looking forward to a good read, especially judging by the appealing cover. Ms. Benita is indeed a great story teller and visual with her discriptions,how... | Negative
| 0 | NIv2 | task493_review_polarity_classification | fs_opt | [
-0.016410373151302338,
0.09765467792749405,
-0.18266475200653076,
-0.5668131709098816,
0.4256363809108734,
0.022439995780587196,
1.699276089668274,
0.5628609657287598,
0.8388497829437256,
0.31351521611213684,
-0.2363278865814209,
-0.30039146542549133,
-1.0427701473236084,
-0.26665756106376... |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
Q: و هرآنچه را دیگران نوشته بودند مرور میکرد،
A: | going over what others had written, | 4 | NIv2 | task660_mizan_fa_en_translation | zs_opt | [
-0.15973740816116333,
1.1441576480865479,
-0.08468081057071686,
-0.7433472871780396,
-0.23613907396793365,
0.3429558277130127,
0.7529863715171814,
0.04979509860277176,
0.8787161707878113,
-0.37997546792030334,
-0.17876185476779938,
-0.09284865856170654,
-0.05935110151767731,
0.597983717918... |
In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story and their positions in the s... | 5b, 1c
| 1 | NIv2 | task222_rocstories_two_chioce_slotting_classification | fs_opt | [
0.47899162769317627,
0.4070259928703308,
0.11706428974866867,
0.33140575885772705,
-0.046361081302165985,
0.5186500549316406,
0.2983124554157257,
1.0702122449874878,
0.0855216234922409,
0.12451894581317902,
-0.8699619770050049,
0.006677187047898769,
0.17027242481708527,
-0.5187709331512451... |
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.
[EX Q]: Context: This is the Halftime ... | no
| 6 | NIv2 | task241_tweetqa_classification | fs_opt | [
-0.661524772644043,
-0.03963746130466461,
-0.14783614873886108,
0.3013096749782562,
-0.2908438444137573,
0.07211613655090332,
0.4842512905597687,
0.2893684208393097,
-0.6554727554321289,
-0.1293809711933136,
-0.07630796730518341,
-0.15842434763908386,
-0.023944351822137833,
-0.140247166156... |
Instructions: In this task, you will be given two sentences separated by ", so". You should decide whether the first sentence can be the cause of the second sentence. If you can see a possible causation, answer with "plausible", otherwise answer with "not plausible".
Input: The woman won the lottery, so I'm looking for... | plausible | 3 | NIv2 | task391_causal_relationship | zs_opt | [
-0.8548698425292969,
0.45690441131591797,
0.4105505347251892,
-0.3798711597919464,
-0.280597448348999,
0.027394432574510574,
-0.3740743398666382,
0.753638744354248,
0.7559025287628174,
-0.031866077333688736,
-0.7497528195381165,
0.30739825963974,
-0.08694350719451904,
-0.85908043384552,
... |
In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct a sentence that (a) captures the facts specified in the triples and (b) is a well-formed sentence easily understandable b... | Output: Bibimbap House, near Clare Hall in the riverside area, is a high end Japanese food venue. Clowns is a restaurant near The Portland Arms.
| 2 | NIv2 | task1409_dart_text_generation | fs_opt | [
-0.6761327981948853,
0.04357676953077316,
-0.5718734860420227,
-0.3284541964530945,
0.41137605905532837,
0.20418031513690948,
-0.31468912959098816,
0.28914570808410645,
-0.20792323350906372,
0.006626056041568518,
-0.02050652727484703,
0.2683210074901581,
-0.2365913987159729,
-0.58872163295... |
Given the task definition and input, reply with output. In this task, you're given a story (which contains five sentences only). Your task is to find all the characters which are available in the given story.
Sentence1: Derrick loved funny cat pictures. Sentence2: His coworkers did not. Sentence3: Derrick always sent ... | Derrick, Coworkers, Boss | 5 | NIv2 | task292_storycommonsense_character_text_generation | zs_opt | [
-0.6807506084442139,
0.48873335123062134,
0.11921162158250809,
-0.22720977663993835,
-0.06403165310621262,
-0.45302289724349976,
-0.007364693563431501,
0.2276500016450882,
0.49445849657058716,
0.03819868713617325,
-0.6427215337753296,
-0.013889644294977188,
-0.5461437106132507,
0.347517460... |
In this task, you're given two sentences. Indicate if the first sentence clearly entails the second sentence (i.e., one can conclude the 2nd sentence by reading the 1st one). Indicate your answer with '1' if the first sentence entails the second sentence, otherwise answer with '0'.
Sentence 1: Edison decided to call "... | 1 | 0 | NIv2 | task1344_glue_entailment_classification | zs_opt | [
0.14659902453422546,
1.2275333404541016,
0.44650715589523315,
-0.12257980555295944,
0.4412258267402649,
-0.3297778367996216,
0.02503592148423195,
0.5882823467254639,
0.8116815686225891,
-0.2072242945432663,
0.1575889140367508,
-0.28077876567840576,
-0.7319614291191101,
-0.06307399272918701... |
instruction:
This task is about translating a given English language sentence to Spanish.
question:
If you had actually known the mean, you would have said oh wow.
answer:
Si hubieran tenido la media. Dirían, oh, vaya.
question:
Well, let me just tell you some of the things I'm curious about.
answer:
Bien dejenme dec... | Lo siento.
| 9 | NIv2 | task1691_qed_amara_translation | fs_opt | [
-0.8762346506118774,
0.6881417632102966,
0.017922453582286835,
-0.2696927785873413,
-0.1972358673810959,
-0.7864784598350525,
0.4522554278373718,
0.8790156841278076,
0.43782562017440796,
-0.791294515132904,
-0.19767603278160095,
0.2980179786682129,
-0.5504963994026184,
0.14590036869049072,... |
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 opposite right thrice after jump around right twice
| 5 | NIv2 | task127_scan_long_text_generation_action_command_all | fs_opt | [
0.3901313245296478,
0.6846076250076294,
-0.36101460456848145,
-0.06252239644527435,
0.10528653115034103,
0.09251496940851212,
0.22837390005588531,
0.8943344354629517,
-0.14769591391086578,
-0.23039384186267853,
-0.8056637644767761,
-0.24487081170082092,
-0.6682459115982056,
-0.147927403450... |
Given a piece of financial news and its polarity, classify it into 'true' if the polarity is correct and classify into 'false' if the polarity is incorrect. Output must be 'true' or 'false'.
Example Input: news:The total investment necessary will be EUR40m , the company estimated .
polarity:neutral
Example Output: tr... | false
| 3 | NIv2 | task844_financial_phrasebank_classification | fs_opt | [
-0.6944369077682495,
0.20279404520988464,
-0.47755271196365356,
0.38637685775756836,
-0.6862006187438965,
-0.6300074458122253,
0.34987813234329224,
0.7399486303329468,
0.004462339915335178,
-0.21921880543231964,
-0.22144465148448944,
0.7516549825668335,
-0.007887952961027622,
-0.2482556402... |
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: personal or non-personal dependin... | personal | 3 | NIv2 | task1490_bengali_personal_hate_speech_binary_classification | zs_opt | [
-0.5521186590194702,
0.29186201095581055,
0.006036913953721523,
0.4331296384334564,
-0.21337701380252838,
-0.7003413438796997,
0.494841992855072,
-0.3086246848106384,
-0.22416409850120544,
-0.23490706086158752,
-0.7478330731391907,
-0.05569072812795639,
-0.27238014340400696,
-0.46990418434... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
[EX Q]: Cando eu perdín os 18 quilos, fíxeno eliminando estas cousas, polo que admito que teño unha inclinación baseada na miña experiencia persoal.
[EX A]: 数年前私が18 kg 減量したとき単にこれらの摂取制限をしていました数年前私が18 kg 減量したとき単にこれらの摂取制限を... | 火星に棲んでいる生命を探すために一連のミッションを立ち上げました
| 6 | NIv2 | task1239_ted_translation_gl_ja | fs_opt | [
-0.5301796197891235,
0.2775639593601227,
0.08258756995201111,
-1.023498773574829,
-0.42574286460876465,
-2.0917625427246094,
1.2887799739837646,
-0.029847871512174606,
-0.2998167872428894,
-0.739349901676178,
-0.7375637292861938,
0.12363605946302414,
-1.2025924921035767,
0.6040698289871216... |
In this task, you will be presented with a question in Dutch language, and you have to write the named entities from the question if present. B denotes the first item of a phrase and an I any non-initial word. Here is the list of terms used: person names (PER), organizations (ORG), locations (LOC) and miscellaneous nam... | Bölts: B-PER, Dui: B-LOC | 3 | NIv2 | task1544_conll2002_named_entity_recognition_answer_generation | fs_opt | [
-0.3668990731239319,
0.3020997643470764,
0.07878632843494415,
0.03250078111886978,
-0.49458324909210205,
-0.5152145624160767,
0.7953439950942993,
-0.2474035918712616,
0.5962628126144409,
-0.4436432719230652,
-0.8991150259971619,
-0.034845396876335144,
0.13561713695526123,
0.018291950225830... |
Given a sentence and two mentions from the text (arguments), indicate a phrase (a verb or noun phrase) that describes the relationship between the provided arguments.
Example Input: Sentence: 'We left Varanasi thinking we would have a somewhat hard 2 days of train and bus travel to Pokhara , Nepal where we would start... | be president of
| 3 | NIv2 | task676_ollie_relationship_answer_generation | fs_opt | [
-0.3778287172317505,
-0.33926019072532654,
0.2713192105293274,
-0.43742138147354126,
-0.395491361618042,
-0.47934988141059875,
0.04798288643360138,
0.5295767188072205,
-0.02889392524957657,
0.3379064202308655,
-0.5013364553451538,
0.2951454818248749,
-0.02340606227517128,
-0.32671219110488... |
TASK DEFINITION: In this task, you are given dvd product reviews in Japanese language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
PROBLEM: 良いような悪いような・・・ . 古畑任三郎シリーズの最新作です。今泉や西園寺がいなくてつまんな~い！というご意見もあるかも知れませ... | NEG
| 8 | NIv2 | task486_cls_japanese_dvd_classification | fs_opt | [
0.6756441593170166,
-0.41329506039619446,
-0.536638081073761,
-0.06945213675498962,
0.6317909955978394,
-0.015571477822959423,
0.9391798377037048,
0.66341233253479,
-0.27423474192619324,
0.13182613253593445,
-0.2348208725452423,
0.11933043599128723,
-0.15865296125411987,
-0.101893641054630... |
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to... | No
| 5 | NIv2 | task1196_atomic_classification_oeffect | fs_opt | [
0.6342877149581909,
0.013825219124555588,
0.1400069296360016,
-0.10313718020915985,
-0.0109234768897295,
-1.083753228187561,
0.9930625557899475,
1.1516077518463135,
-0.5033730268478394,
-0.07110727578401566,
-0.4005039930343628,
-0.029413141310214996,
-0.8873776197433472,
-0.16169321537017... |
Definition: This task is about writing a correct answer for the reading comprehension task. Based on the information provided in a given passage, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete... | monetisation | 2 | NIv2 | task075_squad1.1_answer_generation | zs_opt | [
0.6263086199760437,
0.46027201414108276,
0.26689794659614563,
0.19320079684257507,
0.5027681589126587,
-0.4434538185596466,
0.7427003979682922,
0.45911163091659546,
0.3288235068321228,
-0.07396303117275238,
-0.45803380012512207,
-0.13139665126800537,
-0.7770957946777344,
-0.264336407184600... |
instruction:
In this task, given a sentence in the Vietnamese language, your task is to convert it into the English language.
question:
Hàng trăm người lao động tay nghề cao, hợp pháp ở Hoa Kỳ đã gửi hàng trăm đóa hoa đến Giám đốc Các Dịch Vụ Công Dân và Di Trú Hoa Kỳ (USCIS), Emilio Gonzalez như một sự phản đối hòa bì... | Also according to the Times, when purchasing the ammunition, AEY worked with middlemen and a shell company which has been placed on federal list of entities suspected of illegal arms trafficking.
| 9 | NIv2 | task536_alt_translation_vi_en | fs_opt | [
-0.44496679306030273,
0.0793566182255745,
-0.05014914274215698,
-0.10265874117612839,
0.5147078633308411,
-0.6413198113441467,
0.1413535624742508,
0.6057814955711365,
-0.47596338391304016,
1.0303254127502441,
0.11392158269882202,
0.7281850576400757,
0.2106708437204361,
-0.00604210700839757... |
In this task, you're given an open-domain question. Your task is to provide an answer to the given question. There is only one unique answer for each question. Your answer should be short, and refer to an entity, date, number, etc. Do not put your answer in the context of a sentence.
[Q]: How many navratna companies a... | The Great Galveston Storm
| 5 | NIv2 | task669_ambigqa_answer_generation | fs_opt | [
-0.008624574169516563,
0.3764936029911041,
-0.38640010356903076,
-0.12155909836292267,
-0.753724217414856,
-0.30389007925987244,
0.9673051238059998,
0.14614489674568176,
-0.3137299418449402,
0.07043741643428802,
-0.7432628870010376,
0.02928633615374565,
-0.1193912923336029,
-0.191323220729... |
Given a math word problem, answer the following question. You might need to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the question and then only report the final numerical answer.
[Q]: a pet store had 2 white cats 10 black cats and 3 gray cats . how many cats di... | 33
| 5 | NIv2 | task861_asdiv_addsub_question_answering | fs_opt | [
-0.00886845774948597,
0.35905247926712036,
-0.4862263798713684,
-0.06422083079814911,
-0.23889537155628204,
-0.5131595134735107,
0.10377348959445953,
0.5551605224609375,
0.2764112055301666,
0.3000730872154236,
-0.005123474635183811,
0.6105507612228394,
-0.29567477107048035,
-0.242383003234... |
Detailed Instructions: In this task, you need to provide the correct option for a given problem from the provided options.
Problem:Problem: nitin ranks 18 th in a class of 49 students . what is rank from the last ?
Options: a ) 33 , b ) 38 , c ) 32 , d ) 28 , e ) 19
Solution: | c | 8 | NIv2 | task1421_mathqa_other | zs_opt | [
0.6452286243438721,
-0.02326026000082493,
0.6737330555915833,
-0.5163295269012451,
-0.011427239514887333,
-0.873982310295105,
0.6291741728782654,
0.615244448184967,
0.0893990695476532,
0.7475930452346802,
0.3451201021671295,
-0.1499709188938141,
-0.7298709154129028,
-0.07536803185939789,
... |
Detailed Instructions: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or ... | Neither | 8 | NIv2 | task904_hate_speech_offensive_classification | zs_opt | [
-0.5559803247451782,
0.43851226568222046,
0.38914865255355835,
0.33900025486946106,
-0.17313598096370697,
-0.6853609085083008,
0.09949930012226105,
1.0013670921325684,
0.35867762565612793,
0.2647970914840698,
-0.4283488392829895,
-0.3577909469604492,
-0.6849535703659058,
-1.095018148422241... |
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 | 6 | NIv2 | task1203_atomic_classification_xreact | zs_opt | [
0.10129344463348389,
-0.0974745973944664,
0.6030958890914917,
-0.09265108406543732,
-0.36480140686035156,
-1.0579354763031006,
0.887098491191864,
0.655307948589325,
-0.4571477174758911,
-0.360102117061615,
-0.3280267119407654,
-0.2895418703556061,
-0.8311014175415039,
-0.005183489061892033... |
Q: 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 coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e. tagset of this corpus is 'A... | NOUN | 7 | NIv2 | task583_udeps_eng_coarse_pos_tagging | zs_opt | [
0.7854599952697754,
0.29092690348625183,
0.013187810778617859,
0.1196717768907547,
0.002509915269911289,
-1.0048604011535645,
0.8776152729988098,
0.7592374682426453,
-0.29874366521835327,
-0.10857096314430237,
-0.3964395821094513,
0.04940648376941681,
-0.6495623588562012,
0.547750234603881... |
You are provided with an "Event" and it's "Intent" related to PersonX. Determine the sentiment value of the given input as either "Positive", "Negative", and "Unknown".
Example Input: Event:PersonX fits the ___ best. Intent: 1) to take rest
Example Output: Positive
Example Input: Event:PersonX tells PersonY to take.... | Positive
| 3 | NIv2 | task923_event2mind_classifier | fs_opt | [
-0.6010231971740723,
0.1122090220451355,
0.12864652276039124,
-0.21342381834983826,
-0.1500057876110077,
-1.173496961593628,
0.9790423512458801,
0.4012225866317749,
0.1769028902053833,
-0.02341066487133503,
0.0025719760451465845,
0.2085513472557068,
-0.4590436518192291,
-0.0425622835755348... |
Instructions: 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 ... | 705735941667LKb15091289501894B948914615991XFr3025 | 3 | NIv2 | task267_concatenate_and_reverse_all_elements_from_index_i_to_j | zs_opt | [
-0.2671213746070862,
0.39644595980644226,
-0.6830394268035889,
-0.05700003355741501,
-0.20435121655464172,
-0.10511669516563416,
0.7425238490104675,
0.36140990257263184,
-0.7424523830413818,
0.0020134970545768738,
-0.8738563060760498,
0.10310842096805573,
0.1198248341679573,
-0.24320578575... |
Teacher:You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
Teacher: Now, understand the problem? Solve this instance: Niente etichette.
Student: | Nada de etiquetas. | 6 | NIv2 | task1249_ted_translation_it_es | zs_opt | [
-0.9525028467178345,
0.16504237055778503,
0.7239859700202942,
-0.19649241864681244,
-0.3837178349494934,
-0.5752658843994141,
-0.6550828218460083,
0.8663703203201294,
-0.03751096874475479,
0.01041661947965622,
0.47836607694625854,
-0.3950515687465668,
-0.5951728820800781,
-0.68351960182189... |
You are given a statement written in Telugu. 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 .
[EX Q]: Statement: గ్రామంలో ప్రభుత్వ ప్రాథమిక పాఠశాల ఒకటి ఉంది. సమీప బాలబడి, ప్రాథమిక పాఠశాల <MASK>లోను, ప్రాథమికో... | వరంగల్
| 6 | NIv2 | task954_wiki_cloze_te_multiple_choice_question_answering | fs_opt | [
0.4812745451927185,
0.6286249160766602,
-0.07312603294849396,
-0.30667370557785034,
0.4232894778251648,
-1.0582823753356934,
1.0668824911117554,
1.5173360109329224,
0.043972864747047424,
-0.16796556115150452,
-0.25469085574150085,
0.8245561122894287,
-0.18713557720184326,
-0.30908632278442... |
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... | DISSIMILAR | 9 | NIv2 | task1408_dart_similarity_classification | fs_opt | [
-0.533280611038208,
0.465837687253952,
0.17297765612602234,
-0.62168949842453,
-0.2362770140171051,
-0.3398478031158447,
1.468616008758545,
0.2133987545967102,
0.2926764488220215,
0.22391247749328613,
-1.0604642629623413,
-0.06236834079027176,
-0.5442374348640442,
0.5985355377197266,
0.2... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Japanese.
One example is below.
Q: ما آواز خوندیم ، و خوندیم ، آواز خونديم ، و بطور شگفت انگیزی اعتماد جدید رشد کرد ، و درواقع دوستی شکوفه زد.
A: 私たちはただひたすら歌い続けましたすると驚くことに信頼が芽生え友情が花開いたのです
Rationale: The Farsi sentence is correctly tra... | おはようございます皆さん | 9 | NIv2 | task1266_ted_translation_fa_ja | fs_opt | [
0.42538803815841675,
1.282625675201416,
-0.4319472312927246,
0.12977349758148193,
-0.8178332448005676,
-0.24710610508918762,
1.2292636632919312,
0.03894039988517761,
0.2666398882865906,
-0.6688495874404907,
-1.2129861116409302,
0.31780314445495605,
-0.8820448517799377,
0.26768332719802856,... |
Q: Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
When did Kublai allow the international Mongol slave trade no when did he ban it?
A: | When did Kublai ban the international Mongol slave trade? | 7 | NIv2 | task1195_disflqa_disfluent_to_fluent_conversion | zs_opt | [
-0.15548458695411682,
1.1653484106063843,
0.2944701910018921,
-0.6658958196640015,
-0.49047112464904785,
0.11251683533191681,
-0.14688703417778015,
0.3676759600639343,
0.4590420722961426,
0.19979263842105865,
-0.4088605046272278,
-0.2998141646385193,
-0.2561589181423187,
-0.056205630302429... |
Instructions: Given a question and a context passage, generate the answer having the word or phrase from the context passage. Here, the answer should be a shortest continous span from the passage.
Input: Context: To clarify the association between clinically defined simple stress urinary incontinence (SUI) symptoms and... | stress urinary incontinence | 3 | NIv2 | task469_mrqa_answer_generation | zs_opt | [
-0.07848896086215973,
0.1279183328151703,
-0.5262224078178406,
-0.2865310311317444,
0.4797346591949463,
0.5349602103233337,
-0.14611533284187317,
1.0000423192977905,
0.5041646957397461,
0.40945926308631897,
-0.10360749065876007,
0.5024431943893433,
-0.32872387766838074,
-0.0119968019425868... |
Detailed Instructions: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: obscene and non-obscene. A comment is obscene if it is considered offensive to the public sense of decency, for example because it too obviously relates to sex or contain... | Non-obscene | 9 | NIv2 | task326_jigsaw_classification_obscene | zs_opt | [
-0.09104631841182709,
0.4463828504085541,
0.8924381136894226,
-0.039365820586681366,
0.3614792227745056,
-0.2512070834636688,
-0.1120208203792572,
0.5029244422912598,
0.0907716304063797,
0.7851202487945557,
-0.053771816194057465,
-0.2871847152709961,
-0.41301703453063965,
-0.73717033863067... |
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_) and their corresponding answer. The sentence pair should look similar, and should be about two related but different objects; for example "trophy" and "suitcase". Additionally, the two sentences must b... | Sentence 1: After tipping the bartender, he put drinks on the tables since the _ were full.
Answer1: drinks.
Sentence 2: After tipping the bartender, he put drinks on the tables since the _ were empty.
Answer2: tables.
| 5 | NIv2 | task029_winogrande_full_object | fs_opt | [
0.31302812695503235,
0.3577900230884552,
-0.040627360343933105,
-0.33065634965896606,
0.8257616758346558,
-0.7414522171020508,
0.547868013381958,
1.0850863456726074,
-0.7271366119384766,
-0.3147451877593994,
-0.38695400953292847,
0.039717551320791245,
-0.7092449069023132,
-0.04530211165547... |
Definition: 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.
Input: Vi europeiska socialister är för en ma... | Swedish | 2 | NIv2 | task315_europarl_sv-en_language_identification | zs_opt | [
-0.13032715022563934,
0.39324474334716797,
0.7306147813796997,
-0.33347129821777344,
-0.021035782992839813,
0.06390032172203064,
0.5779166221618652,
0.3738318383693695,
0.9272637367248535,
0.15721037983894348,
-0.07123499363660812,
0.551245927810669,
0.15698803961277008,
-0.722398757934570... |
In this task, you will be presented with a passage, and you need to write an **implausible** answer to to fill in the place of "_". Your answer should be incorrect, but should not be out of context. Try using words that are related to the context of the passage, but are not the correct answer. Even though there exist ... | Melbourne | 8 | NIv2 | task303_record_incorrect_answer_generation | fs_opt | [
-0.33137238025665283,
0.8891895413398743,
-0.013399932533502579,
0.3010703921318054,
0.0766347348690033,
0.1814633011817932,
0.4868866205215454,
0.6675028204917908,
-0.558935284614563,
0.5799129009246826,
0.0064958627335727215,
0.612747848033905,
-0.857610285282135,
-0.014463262632489204,
... |
Given the task definition, example input & output, solve the new input case.
In this task, you will be given sentences in which your task is to recognize the name of the drug or medicine. Drugs are substances that change a person's mental or physical state. They can affect how your brain works, how you feel and behave,... | isoniazid | 1 | NIv2 | task1447_drug_extraction_ade | fs_opt | [
0.17070282995700836,
0.3703450560569763,
-0.4014224112033844,
-0.48777157068252563,
0.09910903871059418,
-0.6045684814453125,
0.9407072067260742,
0.5791085958480835,
0.783747673034668,
-0.4790840744972229,
-0.7056198716163635,
-0.2248300313949585,
-0.23447057604789734,
-0.05661675333976745... |
TASK DEFINITION: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Portugese.
PROBLEM: （ 拍手 ） ケネディーは演説の最後に言いました。
SOLUTION: (Aplausos) Certamente, Robert Kennedy sugeriu no final do discurso exactamente isso
PROBLEM: しかしこの作品を通じて母は気にかける人とのつながりを深め新しいことを学び続けることができました創造性を発揮し自分を表現する新... | E aqui temos os factores alimentares que se batem lado a lado com estes medicamentos.
| 8 | NIv2 | task1099_ted_translation_ja_pt | fs_opt | [
0.6055040955543518,
0.2650200128555298,
0.22719866037368774,
-0.7634595632553101,
-0.33993959426879883,
0.25442492961883545,
-0.053271785378456116,
0.43277981877326965,
0.20178166031837463,
0.14178279042243958,
0.17438150942325592,
-0.29628652334213257,
-0.26583683490753174,
0.350153535604... |
In this task, you're given a review from Amazon's food products. 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 or mixed, 4: good, 5: extremely good.
Input: Consider Input: My holistic vet recommended this, along with a ... | Output: 3
| 2 | NIv2 | task588_amazonfood_rating_classification | fs_opt | [
-0.04756709560751915,
-0.320642352104187,
-0.4052940607070923,
0.2996795177459717,
0.23807096481323242,
0.005631638690829277,
0.3621987998485565,
1.151842713356018,
0.2596089839935303,
0.22488243877887726,
-0.19689661264419556,
-0.017274867743253708,
-0.7486932873725891,
-0.460093230009079... |
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 need to answer a given question containing a blank (_). Your answer must be one of the two objects mentioned in the question, for example "trophy" and "suitcase". Your answer must not contain a w... | balloons | 0 | NIv2 | task033_winogrande_answer_generation | fs_opt | [
0.2980440855026245,
1.0070935487747192,
-0.1614745855331421,
-0.322506308555603,
0.33161965012550354,
-0.3612425923347473,
1.1066570281982422,
0.7656590938568115,
0.15529899299144745,
-0.3865179419517517,
0.1437387764453888,
0.0651492029428482,
0.0357477143406868,
-0.0010961266234517097,
... |
Q: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Italian.
אז אני לא בטוח אם ראיתם את אלו שיושבים לצדכם מרימים יד.
A: | Non so se il vostro vicino ha alzato la mano. | 7 | NIv2 | task1111_ted_translation_he_it | zs_opt | [
-0.6802172064781189,
0.928808867931366,
-0.2737157344818115,
-0.08422443270683289,
-0.6013843417167664,
-0.05488630011677742,
0.49689722061157227,
0.32588788866996765,
0.958346962928772,
-0.29585063457489014,
-0.04389587417244911,
0.1278165876865387,
-0.43584489822387695,
0.679421782493591... |
Given a passage with a question and an answer to that question, classify if the answer actually answers the question into 'yes' or 'no'. Output 'yes' if the answer answers the question and output 'no' if the answer does not answer the question.
Question: Is global leukocyte DNA methylation altered in euthymic bipolar ... | no | 0 | NIv2 | task846_pubmedqa_classification | zs_opt | [
-0.4628477394580841,
-0.15532225370407104,
-0.012328099459409714,
0.20257219672203064,
-0.854263424873352,
-0.5891047120094299,
0.2321399748325348,
0.4027746617794037,
0.4801716208457947,
-0.4260585904121399,
-0.5528602600097656,
0.7991093397140503,
-0.052645206451416016,
0.461628854274749... |
Detailed Instructions: In this task, you're given a review from Amazon's food products. Your task is to generate a short summary of the given review in the input. Note that you don't need to write a complete sentence as a summary.
Problem:I saw this product on Oprah and wanted to try it, I was impressed that it was veg... | Ok | 8 | NIv2 | task589_amazonfood_summary_text_generation | zs_opt | [
-0.35197800397872925,
0.09729387611150742,
-0.36027032136917114,
-0.16132666170597076,
0.07933711260557175,
-0.005570394918322563,
0.6634333729743958,
0.9626851081848145,
-0.27785056829452515,
0.3006846010684967,
0.07561962306499481,
0.59305739402771,
-0.6175651550292969,
-0.24480777978897... |
Teacher:Given a part of privacy policy text, identify the purpose for which the user information is collected/used. The purpose should be given inside the policy text, answer as 'Not Specified' otherwise
Teacher: Now, understand the problem? Solve this instance: An unnamed third party does receive your unspecified pers... | Marketing | 6 | NIv2 | task683_online_privacy_policy_text_purpose_answer_generation | zs_opt | [
-0.8006289005279541,
0.6826304197311401,
-0.45922166109085083,
-0.5292327404022217,
-0.6666157245635986,
-1.2230459451675415,
0.4904831051826477,
-0.048671793192625046,
0.00866034347563982,
0.3885834813117981,
0.7549728155136108,
0.13582032918930054,
-0.6714640855789185,
-1.206603765487671... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English.
Let me give you an example: (تصفيق) ومع ذلك هناك معارك سياسية في بلدنا.
The answer to this example can be: (Applause) However there is a political battle in our country.
Here is why: The Arabic sentence is correctly translat... | How can you obtain the hard core evidence? | 8 | NIv2 | task1230_ted_translation_ar_en | fs_opt | [
-0.0068542612716555595,
0.6641317009925842,
0.7386840581893921,
-0.8806755542755127,
-0.2615309953689575,
-0.6876947283744812,
0.7479691505432129,
-0.045525096356868744,
0.33908385038375854,
0.21680063009262085,
-0.6088343858718872,
-0.08025786280632019,
-0.8926935791969299,
0.127771705389... |
Generate an appropriate single-sentence summary for the given text such that it includes the main topic of the text.
--------
Question: By Julian LorkinSydney Facing a dwindling number of investment opportunities in their own country, Chinese buyers are snapping up new Australian apartments and homes at a record rate, ... | Aberdeen's Craiginches prison is closing its doors, with inmates moving to the new HMP Grampian in Peterhead.
| 7 | NIv2 | task1357_xlsum_summary_generation | fs_opt | [
0.04652668535709381,
0.8248458504676819,
-0.5767682790756226,
-0.15055835247039795,
0.994505763053894,
0.4952180087566376,
-0.006354840472340584,
1.451238751411438,
0.10621284693479538,
0.009603948332369328,
0.24597890675067902,
1.7095210552215576,
-0.9187963008880615,
0.11036228388547897,... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into English.
--------
Question: Nelle ricerche svolte a Stanford gli psicologi hanno approfondito il caso delle persone condannate per l'assassinio di un bianco.
Answer: In research done at Stanford, psychologists explored the case of ... | I remember my nurses complaining about driving through it.
| 7 | NIv2 | task1247_ted_translation_it_en | fs_opt | [
-0.7926731109619141,
-0.004819811321794987,
-0.20200151205062866,
-0.7337585687637329,
-0.22767819464206696,
-0.4858512878417969,
-0.5510243773460388,
0.6407703161239624,
0.14844100177288055,
0.033562853932380676,
0.36910101771354675,
1.0025670528411865,
-0.3657418191432953,
0.668564319610... |
In this task, you are given a text which is the body of a document. You are given a question and options. Pick the correct number. Don't generate anything else apart from the numbers provided in options.
Let me give you an example: Text: The Mansfield Building Society is a UK building society which has its headquarter... | 4 | 8 | NIv2 | task633_dbpedia_14_answer_generation | fs_opt | [
-0.36593377590179443,
0.1074647605419159,
0.2107636034488678,
0.31574374437332153,
0.1287601888179779,
-0.16514280438423157,
-0.28704482316970825,
0.8260418772697449,
-0.4358763098716736,
-0.13857781887054443,
-0.7515652775764465,
0.17597034573554993,
0.13293975591659546,
-0.21102464199066... |
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, it should be labeled as... | Hateful | 9 | NIv2 | task334_hateeval_classification_hate_es | fs_opt | [
-0.05530008673667908,
0.08134238421916962,
0.29658788442611694,
0.6467451453208923,
-0.18524233996868134,
-0.7520986795425415,
0.14185182750225067,
1.2819368839263916,
0.6008991003036499,
0.038479216396808624,
-0.37013721466064453,
0.4046007990837097,
-0.16388662159442902,
-0.6673856973648... |
Teacher: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 your judg... | Original | 6 | NIv2 | task428_senteval_inversion | zs_opt | [
-0.6570780873298645,
-0.1375618726015091,
0.5533480048179626,
-0.00983856525272131,
0.270702064037323,
0.17809830605983734,
0.8857688903808594,
0.5012390613555908,
0.7998895645141602,
-0.25563114881515503,
-0.6251997351646423,
-0.7038885354995728,
-0.687818706035614,
-0.5551439523696899,
... |
A text is given in Hindi. Translate it from the Hindi language to the Tamil language. The translation must not omit or add information to the original sentence.
Example input: इसे बढ़ाने के लिए हम भारत में जर्मनी की कंपनियों का खुली बाहों से स्वागत करने के लिए तैयार हैं।
Example output: அதை அதிகரிக்க, இந்தியாவில் ஜேர்... | அதேபோல், கங்கை ஆற்றின் மேல் சம்மேகத் பாலம் அமைத்தபின் ராம்நகர் சென்று வருவது மிகவும் எளிதாக இருக்கிறது. | 3 | NIv2 | task993_pib_translation_hindi_tamil | fs_opt | [
-0.04524660110473633,
0.5620121955871582,
0.21653783321380615,
-0.18217551708221436,
0.3209688067436218,
-0.5182518362998962,
-0.030500493943691254,
0.49579668045043945,
-0.7848578691482544,
0.40862300992012024,
-0.4357530474662781,
-0.4771982431411743,
-0.21821466088294983,
-0.13222895562... |
Write a correct answer to the given question based on its associated fact. Make sure that your answer is contained in the associated fact. Don't be creative and introduce any new word that is not mentioned in the associated fact! Remember that the associated fact has been rearranged to form the question. So, the correc... | soil.
| 6 | NIv2 | task041_qasc_answer_generation | fs_opt | [
0.3329489231109619,
0.3226115107536316,
-0.4788568615913391,
-0.04964108392596245,
-0.072496198117733,
-0.7696728110313416,
0.43112707138061523,
0.5776035785675049,
0.04408855363726616,
-0.16654828190803528,
-0.9460108876228333,
-0.26153233647346497,
-1.14541757106781,
-0.01057211309671402... |
instruction:
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 agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid ... | A grinning girl, sporting a red blouse, eats her strawberries in her chair
| 9 | NIv2 | task188_snli_neutral_to_entailment_text_modification | fs_opt | [
-0.9435330033302307,
1.0952115058898926,
-0.21920010447502136,
-0.7735942006111145,
-0.32856622338294983,
0.045968905091285706,
-0.1697925627231598,
0.6027265787124634,
0.33773964643478394,
-0.494026780128479,
-0.667350709438324,
-0.6148883104324341,
-0.0851915255188942,
0.0876953601837158... |
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 Polish.
Da rivenditori, confidano che questa crescente classe media continuerà a crescere, che il boom e la fiducia dei consumatori continueranno.
Output: | Być detalistą, to gra w przekonanie, że rozrastająca się klasa średnia, będzie się nadal rozwijać, że boom i wiara w wydatki konsumenta będą trwały. | 1 | NIv2 | task1253_ted_translation_it_pl | zs_opt | [
-1.0937600135803223,
0.5998433828353882,
-0.4101349115371704,
0.1952463984489441,
-0.20429286360740662,
0.8052694797515869,
0.6675174236297607,
0.5233357548713684,
0.11805157363414764,
-0.5575971007347107,
-0.4989074468612671,
0.42699629068374634,
-0.7125259637832642,
0.1400250941514969,
... |
You are given a sentence in English. Your job is to translate the English sentence into Japanese.
Ex Input:
You see a beauty that otherwise never would have happened.
Ex Output:
さもなければめぐり合う事のなかった美しさを目にする事ができます
Ex Input:
And on top of everything else, bees have their own set of diseases and parasites.
Ex Output:
そし... | ワシントン山への西側からの初めての登頂それも単独登頂でした
| 1 | NIv2 | task1218_ted_translation_en_ja | fs_opt | [
0.3893658518791199,
0.019512135535478592,
-0.02846059948205948,
0.07369101792573929,
0.1140986829996109,
-0.5865148305892944,
-0.3787990212440491,
0.4997664988040924,
-0.0645800530910492,
-0.2453608214855194,
-0.39860644936561584,
-0.006329679396003485,
-0.024677172303199768,
0.01032111048... |
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 4th position respectively. So, the output should be (3, 4). Note that the inde... | (2, 3)
| 6 | NIv2 | task089_swap_words_verification | fs_opt | [
-0.10329267382621765,
0.48343953490257263,
-0.253910630941391,
-0.8081514835357666,
-0.1424255222082138,
-0.33241790533065796,
0.48372167348861694,
0.39966779947280884,
0.28300371766090393,
-0.42643627524375916,
-0.32722753286361694,
-0.31057360768318176,
-0.007799237500876188,
-0.16074493... |
Detailed Instructions: A text is given in Marathi. Translate it from the Marathi language to the Telugu language. The translation must not omit or add information to the original sentence.
Q: माझ्यासाठी देशाचे भविष्यच महत्वाचे आहे. माझ्यासाठी राजकीय भविष्य महत्वाचे नाही.
A: | నా వరకు వస్తే, దేశ భవిష్యత్తే ప్రధానం. | 9 | NIv2 | task1027_pib_translation_marathi_telugu | zs_opt | [
-0.2679787576198578,
0.7099909782409668,
0.24813860654830933,
0.24071073532104492,
-0.2663111686706543,
-1.6610281467437744,
0.7000171542167664,
0.020610103383660316,
-0.3044966459274292,
-0.16605660319328308,
-0.43102389574050903,
-0.058924946933984756,
-0.7595993280410767,
-0.03388132527... |
Q: You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
My daughter found herself in an amazing situation.
A: | female | 7 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | zs_opt | [
-0.7328790426254272,
0.650460958480835,
-0.6674906611442566,
-0.7226468324661255,
-0.4597851634025574,
-0.28863364458084106,
0.004999540746212006,
0.6078547239303589,
1.3135989904403687,
0.23904326558113098,
-0.6309232115745544,
-0.3107603192329407,
-0.5145730972290039,
0.03696779906749725... |
Teacher: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.
Teacher:... | blood | 6 | NIv2 | task039_qasc_find_overlapping_words | zs_opt | [
0.04015412926673889,
0.8056033849716187,
0.10400737822055817,
-0.9968281984329224,
-0.19142809510231018,
-0.8121981620788574,
0.8382048606872559,
0.6118695735931396,
0.053845494985580444,
-0.9095472693443298,
-0.5418654680252075,
-0.9233330488204956,
-0.8518075346946716,
0.2837047874927521... |
Detailed Instructions: In this task, you are given a question. You have to answer the question based on your information.
Q: The Golden Age of Grotesque was Marilyn Manson's final studio album with a keyboardist from Fort Lauderdale, Florida, and who was known by what nickname?
A: | Pogo | 9 | NIv2 | task1293_kilt_tasks_hotpotqa_question_answering | zs_opt | [
0.5433381795883179,
0.9593738317489624,
-0.2791804373264313,
-1.2640668153762817,
0.47927483916282654,
0.07480275630950928,
0.2676583230495453,
0.11646369844675064,
0.24971745908260345,
0.6657741069793701,
-0.08524628728628159,
0.4535597562789917,
-0.7983747720718384,
-0.1490245759487152,
... |
Definition: In this task, you are given two statements. The task is to output whether a given textual premise, i.e. Statement 2, entails or implies a given scientific fact, i.e. Statement 1. The output should be 'entails' if Statement 2 supports Statement 1 and should be 'neutral' otherwise.
Input: Sentence 1: Plants n... | entails | 2 | NIv2 | task1554_scitail_classification | zs_opt | [
-0.32599157094955444,
0.22877414524555206,
-0.12294784188270569,
-0.05110999196767807,
-0.0908617377281189,
-1.5611293315887451,
0.2486417144536972,
0.6434249877929688,
0.3087751567363739,
-0.18241766095161438,
-1.0215641260147095,
-0.40962257981300354,
-0.4399060010910034,
-0.262458145618... |
In this task, you are given a question in Persian, and your task is to translate it into English.
Input: Consider Input: چرا بسیاری از مردم از هیلاری کلینتون متنفرند؟
Output: Why do so many people hate Hilary Clinton?
Input: Consider Input: از کجا می توانم فیلم های رایگان را به صورت آنلاین تماشا کنم؟
Output: Where... | Output: Does plucked hair ever stop growing back?
| 2 | NIv2 | task653_parsinlu_fa_en_translation | fs_opt | [
-1.2720613479614258,
0.5948890447616577,
-0.4982498288154602,
0.6552705764770508,
-0.043847858905792236,
-0.9134690761566162,
0.08468688279390335,
0.5730571150779724,
0.8269599676132202,
0.4492360055446625,
0.12452763319015503,
0.1645904779434204,
-0.6347833275794983,
0.18089202046394348,
... |
In this task, you need to count the number of words in a sentence that end with the given letter. Answer with numbers and not words.
Let me give you an example: Sentence: 'the street light is green in the city'. How many words end with the letter 't' in the sentence.
The answer to this example can be: 2
Here is why: T... | 2 | 8 | NIv2 | task163_count_words_ending_with_letter | fs_opt | [
-0.061775147914886475,
0.9515727162361145,
-0.3075330853462219,
-1.0701794624328613,
-0.08911232650279999,
-0.14153607189655304,
0.004487685859203339,
0.6388742923736572,
0.0072259726002812386,
-0.5737417936325073,
-0.09088722616434097,
0.39332789182662964,
-0.44607263803482056,
-0.2878907... |
Detailed Instructions: The task is to generate the correct answer for a given math problem.
See one example below:
Problem: a multiple choice test consists of 4 questions, and each question has 5 answer choices. in how many r ways can the test be completed if every question is unanswered ?
Solution: 625
Explanation: To... | 5000 | 4 | NIv2 | task1726_mathqa_correct_answer_generation | fs_opt | [
0.21340805292129517,
0.3710634410381317,
0.6453117728233337,
0.4341621398925781,
0.09821242094039917,
0.2628745436668396,
1.0612430572509766,
0.19143493473529816,
-0.17011559009552002,
-0.3390011489391327,
-0.6440861225128174,
-0.2975502014160156,
-0.41067391633987427,
0.5093995928764343,
... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Galician. Your job is to translate the Galician sentence into Portugese.
Non podemos solucionar estes problemas a menos que traballemos xuntos.
Output: | Não podemos resolver estes problemas se não trabalharmos em conjunto. | 1 | NIv2 | task1246_ted_translation_gl_pt | zs_opt | [
-0.21114148199558258,
1.0321385860443115,
0.33123189210891724,
-0.41822999715805054,
-0.2602180242538452,
-0.10160908848047256,
0.0785805732011795,
0.7765007019042969,
0.12002597749233246,
0.12404228746891022,
-0.5225285291671753,
-0.02926551178097725,
-0.16689491271972656,
0.3571602404117... |
Instructions: In this task you will be given a list, of lists, of numbers. Each list is presented with brackets and comma-separated values. For example, a list of numbers is [1,2,3] and a list of two lists of numbers is [[1,2],[3,4,6]]. You should sum up the values at every position of every inner list and put it as an... | [187, -67, -130, 32, -1, -234, 159, -25, -36] | 3 | NIv2 | task122_conala_list_index_addition | zs_opt | [
0.20897676050662994,
-0.2120979279279709,
-0.6465930342674255,
-0.4402845501899719,
0.18062029778957367,
-0.3112471103668213,
0.7588555812835693,
0.6895195245742798,
-0.3752864599227905,
-0.019044138491153717,
-0.5487393140792847,
-0.020688995718955994,
-0.27973878383636475,
-0.11037355661... |
Q: You are given a password and you need to generate the number of steps required to convert the given password to a strong password. A password is considered strong if (a) it has at least 6 characters and at most 20 characters; (b) it contains at least one lowercase letter and one uppercase letter, and at least one di... | 22 | 7 | NIv2 | task956_leetcode_420_strong_password_check | zs_opt | [
0.5900311470031738,
1.0547184944152832,
0.14700131118297577,
-0.7682836055755615,
0.10178285837173462,
-0.269296795129776,
1.2605900764465332,
-0.2954224944114685,
0.2736302316188812,
-0.5806896090507507,
-0.05738918483257294,
0.03702745586633682,
-1.1219319105148315,
-0.5450612902641296,
... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
One example: Pero comenzamos con la idea de un niño por vez.
Solution is here: אבל התחלנו לממש את הרעיון של ללמד כל ילד בנפרד.
Explanation: The Spanish sentence is correctly translated into Hebrew, because the meaning is pre... | אבל במקרה הזה, זה לא קשור לסופר, זה לא קשור לספר או לסרט או לסיפור, זה קשור לחפץ עצמו. | 6 | NIv2 | task1229_ted_translation_es_he | fs_opt | [
-0.6501800417900085,
0.4854603111743927,
0.1269140988588333,
-0.274026095867157,
-0.23039168119430542,
0.16448724269866943,
1.4693458080291748,
0.6647176742553711,
0.6207764148712158,
-0.5354959964752197,
-0.12237288802862167,
0.2554945647716522,
-1.2127987146377563,
0.04889044165611267,
... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in English. Your job is to translate the English sentence into Italian.
The one on the left is Jazz and the one on the right is Swing, but you know what?
Output: | Quello a sinistra è Jazz e quello a destra è Swing, ma sapete una cosa? | 1 | NIv2 | task1091_ted_translation_en_it | zs_opt | [
-0.48793819546699524,
0.6286725997924805,
-0.19913847744464874,
0.7296937704086304,
0.33583682775497437,
-0.051581114530563354,
0.14212338626384735,
0.39662039279937744,
-0.56678307056427,
0.4406365156173706,
-0.0564449205994606,
-0.010315245017409325,
-0.23581892251968384,
-0.247497007250... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese.
One example: Y puede expresar desde admiración y codicia, hasta ansiedad y angustia.
Solution is here: Podem assim exprimir tudo desde admiração e desejo até ansiedade e angústia.
Explanation: The Spanish sentence is corr... | A boa notícia é que assim sendo este cenário não funciona; não está certo. | 6 | NIv2 | task1104_ted_translation_es_pt | fs_opt | [
-0.13171902298927307,
1.0695242881774902,
0.42115724086761475,
-0.7684744596481323,
-0.23622334003448486,
-0.3335641920566559,
-0.08946482837200165,
0.9091282486915588,
0.5022663474082947,
-0.757874071598053,
-0.6745066046714783,
0.12224575877189636,
-0.7344310283660889,
-0.138233721256256... |
In this task you will be given a list of integers. For every element in the list, if the element is positive you should multiply it by 2. If the element is negative you should multiply it by -3. The output should be a list of integers that is the result of applying that logic to the input list.
Note: A list is presen... | [240, 285, 40, 44, 291, 184, 54, 138, 36]
| 6 | NIv2 | task374_synthetic_pos_or_neg_calculation | fs_opt | [
-1.1307810544967651,
0.07195189595222473,
-0.04894300550222397,
-0.3835696280002594,
-0.0007451807614415884,
-0.0011182436719536781,
0.9849474430084229,
-0.05079226940870285,
-0.5599393248558044,
0.277241587638855,
-0.7583212852478027,
0.16433057188987732,
-0.4216739535331726,
-0.221953228... |
Instructions: 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... | holding that a determination of a new jersey spill compensation fund arbitrator is reviewable by the appellate division | 3 | NIv2 | task287_casehold_legal_incorrect_answer_generation | zs_opt | [
0.28978484869003296,
0.2198326587677002,
-0.2567862868309021,
0.3275892436504364,
0.5078709125518799,
-1.2249335050582886,
0.31276363134384155,
1.0275630950927734,
-0.4164170026779175,
-0.29943132400512695,
-0.2073555886745453,
0.22088105976581573,
-0.5893807411193848,
0.21072980761528015,... |
You are given a statement written in Marathi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
One example: Statement: उत्तराखंड व झारखंड राज्यांमध्ये मुलांच्या आयांना या योजनेत समाविष्ट करून घेतलेले दिसते. तर... | जॉर्डन | 6 | NIv2 | task950_wiki_cloze_mr_multiple_choice_question_answering | fs_opt | [
0.07693801820278168,
0.45824724435806274,
-0.4395919442176819,
-0.22348976135253906,
-0.7951747179031372,
-0.47245514392852783,
0.29094916582107544,
1.1518146991729736,
-0.45346599817276,
-0.16462819278240204,
-0.27085375785827637,
0.7885793447494507,
-0.510463297367096,
-0.382460355758667... |
Definition: In this task you are given data in tabular format and a question. Write an **incorrect** ansswer to this question based on the information in the table.
Input: Table: ['Pick #', 'CFL Team', 'Player', 'Position', 'College']. ['25', 'Montreal Alouettes', 'Shawn Gifford', 'OT', 'Charleston Southern']. ['26', '... | ['ND 18 - Cavalier, Larimore', 'PR 243 east - Emerson', 'PR 243 west - Blumenfeld', 'PR 421 east - Sommerfeld', 'PR 201 west - Brown, Windygates, Snowflake', 'PR 201 east - Letellier, Dominion City, Stuartburn', 'PTH 14 - Morden, Winkler, Plum Coulee, Morris PR 332 north - Lowe Farm, Brunkild, Starbuck'] | 2 | NIv2 | task759_msr_sqa_incorrect_answer_generation | zs_opt | [
0.2913815379142761,
0.12108029425144196,
-0.46850740909576416,
-0.47448182106018066,
0.7980433702468872,
-0.7091720104217529,
0.43940210342407227,
0.1956590712070465,
0.2941319942474365,
0.22415760159492493,
0.1677984595298767,
0.04458073526620865,
-0.4528057277202606,
-0.4156741499900818,... |
Detailed Instructions: In this task, you're given a passage, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Problem:Passage: Sugahar... | Answer: 1966 | 8 | NIv2 | task238_iirc_answer_from_passage_answer_generation | zs_opt | [
0.5046786665916443,
0.22461581230163574,
-0.76030433177948,
0.22789424657821655,
0.4777185618877411,
0.09363343566656113,
0.3991771340370178,
0.15959283709526062,
0.09169468283653259,
-0.40559259057044983,
-0.277819961309433,
0.27610915899276733,
-1.4497921466827393,
-0.19840610027313232,
... |
A text is given in Malayalam. Translate it from the Malayalam language to the Panjabi language. The translation must not omit or add information to the original sentence.
Q: രാജ്യത്ത് മെച്ചപ്പെട്ട നിക്ഷേപ അന്തരീക്ഷം സൃഷ്ടിക്കാന് ഇത് സഹായകരമാകും
A: | ਇਸ ਨਾਲ ਇੱਕ ਪਾਸੇ ਭਾਰਤੀ ਪੇਸ਼ੇਵਰਾਂ ਲਈ ਨਵੇਂ ਮੌਕੇ ਖੁਲ੍ਹਣਗੇ, ਦੂਜੇ ਪਾਸੇ ਭਾਰਤੀ ਬਰਾਮਦਾਂ ਨੂੰ ਉਤਸ਼ਾਹ ਮਿਲੇਗਾ। | 4 | NIv2 | task1005_pib_translation_malayalam_punjabi | zs_opt | [
0.5311880111694336,
0.8537529110908508,
0.0018153229029849172,
-0.5554556846618652,
-0.28339651226997375,
-1.170410394668579,
0.4227864742279053,
0.4217450022697449,
0.0927533507347107,
-0.11783316731452942,
-0.809554934501648,
-0.36770159006118774,
-0.4864899516105652,
0.15890470147132874... |
Definition: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
Input: O Professor Bob Wang e a sua equipa fizeram simulações quando cálculos vagos se combinam, até no semáforo, quando os carros apenas partilham informação de GPS, e passámos da pesquisa da simulação no ... | البروفيسور بوب و فريقه قد أجرو عمليات محاكاة على الحاسوب لما يجري عند الجمع بين تقديرات غامضة, حتى في حركة السير الخفيفة عندما تقوم السيارات بمشاركة معلومات ال GPS فقط لقد نقلنا هذا البحث من محاكاة الكومبيوتر الى أجسام آلية للاختبار, حيث لديها اجهزة استشعار حقيقية التي تتواجد في السيارات الآن على هذه الروبوتات كاميرات ... | 2 | NIv2 | task1277_ted_translation_pt_ar | zs_opt | [
-1.085082769393921,
-0.14886611700057983,
-0.42870622873306274,
-1.283108115196228,
-0.12217803299427032,
-0.647122859954834,
0.9842768907546997,
0.5705337524414062,
0.5095921754837036,
0.3959161639213562,
-0.35018837451934814,
0.17969036102294922,
0.4153735339641571,
0.02189309522509575,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence that is either in the Yoruba language or the English language. Your task is to identify the language of the input sentence. Input sentences should be in Yoruba or English language and also it cannot have ... | English | 1 | NIv2 | task1621_menyo20k-mt_en_yo_language_identification | zs_opt | [
0.2322935163974762,
0.6841644048690796,
0.3447718024253845,
0.3973860740661621,
-0.07810650020837784,
-0.06611476838588715,
-0.006996549665927887,
0.5396085977554321,
0.5983205437660217,
-0.42017823457717896,
0.22942082583904266,
0.26135605573654175,
-0.48325270414352417,
-0.34301158785820... |
Teacher: In this task, you are given Wikipedia articles on a range of topics, we ask you to write a question based on the content of the articles that can be answered in a binary manner i.e. True or False.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Property tax -- Proper... | is the spleen the same as the pancreas | 2 | NIv2 | task1660_super_glue_question_generation | fs_opt | [
0.5760725736618042,
0.39820942282676697,
-0.3919375538825989,
0.25594931840896606,
0.6415356397628784,
-0.6051809191703796,
1.0976006984710693,
0.635198175907135,
-0.02693311683833599,
0.055751994252204895,
-0.2647639513015747,
0.5927650928497314,
-0.7684870958328247,
-0.12424473464488983,... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task you will be given a list of numbers and you need to find the mean (average) of that list. The mean of a list can be found by summing every number in the list then dividing the result by ... | 79.543 | 0 | NIv2 | task094_conala_calculate_mean | fs_opt | [
-0.1398911476135254,
0.37651053071022034,
-1.051189661026001,
-0.7920911312103271,
0.14569208025932312,
0.6735614538192749,
0.7545195817947388,
0.3922988772392273,
0.18427737057209015,
0.08735030144453049,
-1.0237900018692017,
0.33703044056892395,
-0.3358246088027954,
0.13421300053596497,
... |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
Q: بخاطر خدا ما به ما کمک کنيد .
A: understand us and heip us , god , for gods sake .
****
Q: برچسب زدن به .
A: ticket .
****
Q: يه اتفاق بد، اون چيه؟
A: | something unfortunate. what is it?
****
| 4 | NIv2 | task659_tep_fa_en_translation | fs_opt | [
-0.4802713394165039,
0.810462474822998,
0.04766891151666641,
-0.23203375935554504,
-0.548635721206665,
-0.7334247827529907,
0.6033767461776733,
0.3014986217021942,
0.19344082474708557,
0.290106862783432,
-0.7667147517204285,
0.4962044656276703,
-0.10088460892438889,
0.5251908898353577,
0... |
Given the task definition, example input & output, solve the new input case.
Given an Amazon customer review, write a title for the review. The preferred titles are under fifteen words.
Example: I was very surprised at the high quality of the stitching, the sturdiness of the handles and the padding for my laptop. The p... | inconsistent | 1 | NIv2 | task1342_amazon_us_reviews_title | fs_opt | [
-0.044218242168426514,
0.2493894249200821,
-0.40622031688690186,
0.17743340134620667,
0.7363901734352112,
0.1344580352306366,
0.3054026663303375,
0.24851860105991364,
0.3548377752304077,
0.5284837484359741,
-0.0013766690390184522,
-0.13839468359947205,
0.07979992032051086,
-0.4578302204608... |
instruction:
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 tha... | rain.
| 9 | NIv2 | task042_qasc_incorrect_option_generation | fs_opt | [
0.27299195528030396,
0.9602490663528442,
-0.5148071050643921,
0.4192548394203186,
-0.4489925503730774,
-1.6256738901138306,
0.41542720794677734,
0.5776832103729248,
-0.5454946160316467,
0.06303873658180237,
-1.047451138496399,
-0.25897216796875,
-1.1841940879821777,
0.6265572905540466,
0... |
The provided text is in English, and we ask you to translate the text to the Croatian language. Please bear in mind the following guidelines while translating: 1) We want a natural translation, a formal form. 2) Use the symbols like '#@%$-+_=^&!*' as-is. *Include* the special characters as suited when translating to Cr... | Ili bi možda htjeli biti u boljoj formi, jači, više izdržljivi. | 9 | NIv2 | task1365_opustedtalks_translation | fs_opt | [
-0.3124127984046936,
0.660987138748169,
-0.23189008235931396,
0.6716523170471191,
-0.0052457647398114204,
-1.026747703552246,
0.5278487801551819,
0.13809488713741302,
-0.04698888957500458,
-0.21127600967884064,
-0.2697594463825226,
0.7713823318481445,
-0.16428372263908386,
0.17476551234722... |
Detailed Instructions: You're given a fill-in-the-blank question where the answer is PersonX. You need to minimally change the given question so that the answer flips to PersonY. This task typically involves replacing one word i.e., the 'trigger word' with its antonym (e.g., changing from "sympathetic" to "stern"). You... | PersonX took the lead in social situations with PersonY since _ was much less friendly. | 9 | NIv2 | task035_winogrande_question_modification_person | zs_opt | [
0.9483926296234131,
0.3738747239112854,
-0.019557058811187744,
-0.6205901503562927,
0.3232313394546509,
-1.1241052150726318,
1.6350421905517578,
0.47773486375808716,
-0.014919539913535118,
-0.8557615280151367,
-0.374016672372818,
0.031103307381272316,
-0.7787167429924011,
0.131441608071327... |
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".
Sentence-1: I'm pretty busy with homework.<sep>Sentence-2: I am watching a movie this weekend .
No
Sentence-1: I have in the past.<sep>Sentence-2: I read ficti... | Yes
| 0 | NIv2 | task566_circa_classification | fs_opt | [
-0.4630867838859558,
0.5646189451217651,
0.2352941930294037,
0.31180131435394287,
-0.13846942782402039,
-0.37571394443511963,
0.6685330271720886,
0.7825548052787781,
0.1547425538301468,
-0.08782905340194702,
-0.030763432383537292,
-0.7881213426589966,
-1.0762571096420288,
-0.47145462036132... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. You are required to assign a label 'formal' if there is an absence of emotion and a presence of questions anywhere within the conversation. If such pattern is not found assign the label 'informal'... | informal | 3 | NIv2 | task1533_daily_dialog_formal_classification | fs_opt | [
0.19107431173324585,
0.6801968216896057,
-0.33830776810646057,
-0.6249775886535645,
-0.005714057944715023,
-0.7954559326171875,
0.6376062631607056,
0.32089391350746155,
0.16054502129554749,
-0.08794600516557693,
-0.6268929243087769,
-0.5577294826507568,
-0.6734074950218201,
0.2846725285053... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task you will be given a list of 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 number... | [7, 3, 4] | 0 | NIv2 | task097_conala_remove_duplicates | fs_opt | [
-0.01577344909310341,
0.31538382172584534,
-0.00901387631893158,
0.007026560604572296,
0.3913814425468445,
-0.16969409584999084,
1.0883491039276123,
0.4817197918891907,
-0.21693624556064606,
0.2515990734100342,
-0.6277577877044678,
-0.650181770324707,
-0.09671993553638458,
0.07989363372325... |
A text is given in Malayalam. Translate it from the Malayalam language to the Telugu language. The translation must not omit or add information to the original sentence.
Example Input: ఫార్మాస్యూటికల్స్, వైద్య పరికరాల సంబంధిత నియంత్రణ మరియు సమాచారాన్ని ఇచ్చి పుచ్చుకోవడం;
Example Output: 4) ഫാര്മസ്യൂട്ടിക്കല്സ്, മെഡി... | ഇന്ന് ലോകത്തെ ഒന്നിപ്പിക്കുന്ന ശക്തികളില് ഏറ്റവും കരുത്തുറ്റ ഒന്നാണ് യോഗ.
| 3 | NIv2 | task1050_pib_translation_telugu_malayalam | fs_opt | [
-0.04241632670164108,
0.4859199523925781,
-0.12406204640865326,
0.284343421459198,
-0.134469136595726,
-1.4447405338287354,
-0.31413012742996216,
1.4007534980773926,
-0.4362403452396393,
0.4079977869987488,
-0.5282112956047058,
0.07784932851791382,
-0.47088661789894104,
-0.4994405508041382... |
Detailed Instructions: In this task, you are given a sentence in the Spanish language. Your task is to translate the Spanish sentence into the English language.
Q: El Cuadro de Mando es
A: | The Scorecard is | 9 | NIv2 | task1433_head_qa_language_translation_es_to_en | zs_opt | [
0.02515004761517048,
0.9918007850646973,
-0.5625863671302795,
-0.8195023536682129,
-0.17714756727218628,
-1.1958980560302734,
0.7545292973518372,
0.515038013458252,
0.11888754367828369,
-0.6478902101516724,
-0.01187132764607668,
-0.3007126450538635,
-0.7467703819274902,
0.12203129380941391... |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
Q: . آره ، منم از حرف زدن با شما لذت بردم
A: | yeah, nice talking to you, too. | 4 | NIv2 | task659_tep_fa_en_translation | zs_opt | [
-0.14856120944023132,
0.5180948972702026,
-0.06387017667293549,
-0.46610578894615173,
-0.44616615772247314,
-0.05971032381057739,
0.8477855324745178,
-0.6437455415725708,
0.8294087648391724,
-0.06702720373868942,
-0.22881217300891876,
-0.019841182976961136,
-0.34235167503356934,
0.58440589... |
Detailed Instructions: In this task you will be given a process, and a question. The process contains a sequence of steps that happen in order. The question asks about the effect of a certain event on another event. If the first event has a positive effect on the second event, answer with "for", if it has a negative ef... | for | 9 | NIv2 | task1727_wiqa_what_is_the_effect | zs_opt | [
0.19748708605766296,
0.14224287867546082,
-0.24381737411022186,
-0.2531830370426178,
-0.07882846146821976,
-1.2859869003295898,
0.6173381805419922,
1.2424330711364746,
-0.3625369668006897,
0.2681320309638977,
-0.16949117183685303,
-0.31055977940559387,
-0.6679702997207642,
0.36713021993637... |
Given the task definition and input, reply with output. You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish.
なにかが飛び出てたらそれを見るんだ近くで見てみるときっとこう言うだろう「おおこれは面白い一体このかけらは何だ ？ 」
| I jakieś rzeczy wystają. Więc patrzysz na to, przyglądasz się z bliska i mówisz, "Hmm, no tak, to chyba jest interesujące - czym są te wszystkie kawałki?" | 5 | NIv2 | task1097_ted_translation_ja_pl | zs_opt | [
0.27785950899124146,
1.0950379371643066,
0.4048793315887451,
-0.26279011368751526,
0.11736562848091125,
-0.2188413441181183,
0.40809401869773865,
-0.5802226066589355,
0.38478121161460876,
-0.34306758642196655,
-0.7601016759872437,
0.43926501274108887,
-0.8748034238815308,
0.343527495861053... |
Q: In this task, you will be given a food review and a question about the reviewer's sentiment toward one aspect of the food in Persian. You have to infer the answer to the question from the review and classify it. Classify the reviewer's sentiment into: "no sentiment expressed", "negative", "neutral", "positive", and ... | negative | 7 | NIv2 | task524_parsinlu_food_aspect_classification | zs_opt | [
-0.7152291536331177,
0.4184110760688782,
0.14059804379940033,
-0.27973178029060364,
0.03585993871092796,
0.07488193362951279,
0.8603756427764893,
0.22890593111515045,
0.6237616539001465,
0.21136543154716492,
0.2320426106452942,
-0.27622461318969727,
-0.564058244228363,
0.5544724464416504,
... |
Instructions: In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. Your answer should be chosen from the given text, and should not contain other words.
Input: Hospital... | Padlock | 3 | NIv2 | task401_numeric_fused_head_reference | zs_opt | [
0.10989835858345032,
0.7641250491142273,
-0.8264409303665161,
-0.1631891131401062,
-0.02910207211971283,
-0.21955770254135132,
0.9726555347442627,
1.0285849571228027,
0.011904731392860413,
0.15780553221702576,
-0.30551958084106445,
0.48956483602523804,
-0.999752938747406,
-0.27009212970733... |
Detailed Instructions: You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
See one example below:
Problem: Category: HOMOPHONIC PAIRS
Clue: It's a... | australia | 4 | NIv2 | task308_jeopardy_answer_generation_all | fs_opt | [
-0.5524241924285889,
0.6915925741195679,
-0.9748700857162476,
0.16091983020305634,
0.208827406167984,
-0.3367735743522644,
0.5484824180603027,
0.39150696992874146,
0.28689149022102356,
0.2060757875442505,
-0.30919498205184937,
0.4963153004646301,
-0.02145240269601345,
-0.013719127513468266... |
A text is given in Malayalam. Translate it from the Malayalam language to the Urdu language. The translation must not omit or add information to the original sentence.
Q: بھارت نیٹ ٹو برج رورل اربن ڈیوائڈ کے تحت ہر ایک پنچایت میں بلدیاتی اداروں میں انٹرنیٹ کنکٹی ویٹی کی گئی ہے ۔
A: | ഭാരത് നെറ്റ് പദ്ധതിക്ക് കീഴില് ഓരോ പഞ്ചാത്തിലെയും തദ്ദേശ ഭരണസ്ഥാപനങ്ങളില് ഇന്റര്നെറ്റ് കണക്ടിവിറ്റി | 4 | NIv2 | task1060_pib_translation_urdu_malayalam | zs_opt | [
-0.19390293955802917,
1.4011454582214355,
0.5535202026367188,
0.0799311101436615,
-0.42474377155303955,
-0.43131697177886963,
0.9354313611984253,
0.27965307235717773,
-0.1562134027481079,
-0.6748787760734558,
-0.4818895161151886,
0.34444570541381836,
-0.4411916434764862,
0.0802848935127258... |
instruction:
A text is given in Hindi. Translate it from the Hindi language to the Tamil language. The translation must not omit or add information to the original sentence.
question:
इसी तरह एयर ट्रांसपोर्ट सेक्टर हो, माइनिंग सेक्टर हो, कंप्यूटर सॉफ्टवेयर और हार्डवेयर हो, इलेक्ट्रिकल इक्विपमेंट्स हो, सभी में अब तक हुए... | இது எனக்கானது மட்டுமல்ல, இதே அன்பும் ஆதரவும், இந்தியா மீதும், நேபாளத்திற்கு இருப்பதைக் காணமுடியும்.
| 9 | NIv2 | task993_pib_translation_hindi_tamil | fs_opt | [
0.04415441304445267,
0.45191556215286255,
-0.1449480801820755,
-0.11352808773517609,
0.10514477640390396,
-0.8100003004074097,
0.4613724946975708,
0.78517746925354,
-0.46571898460388184,
0.2359660565853119,
-0.5153484344482422,
0.6881629824638367,
-0.30385518074035645,
0.16539232432842255,... |
Given the task definition and input, reply with output. 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 ... | [424, -858, 101, -727] | 5 | NIv2 | task372_synthetic_palindrome_numbers | zs_opt | [
-1.0669424533843994,
0.46647119522094727,
0.04341159760951996,
-0.28390276432037354,
-0.04716234654188156,
-0.09950540959835052,
0.8005467653274536,
-0.07369859516620636,
-0.4074457883834839,
-0.17629587650299072,
-0.5940598249435425,
0.15928474068641663,
-0.06278910487890244,
-0.077203944... |
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