inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
Given a sentence in Dutch, generate a new Dutch sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being... | vleermuizen komen in een verscheidenheid van kleuren.
| 7 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | fs_opt | [
-0.4315378963947296,
0.8513688445091248,
0.33542388677597046,
-0.5648972988128662,
-0.011707931756973267,
-0.24144524335861206,
0.0991322249174118,
0.6392495036125183,
0.01635240763425827,
-0.6676974296569824,
-0.5684032440185547,
0.16834944486618042,
-0.6468046307563782,
0.179014489054679... |
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Sentence 2 contradicts sentence 1. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Av... | The train is late. | 4 | NIv2 | task185_snli_contradiction_to_neutral_text_modification | fs_opt | [
0.06728571653366089,
0.548355221748352,
0.5331885814666748,
-0.4479614496231079,
0.4824724495410919,
-0.8331862092018127,
-0.502167820930481,
0.7293040752410889,
0.27253246307373047,
-0.3389820456504822,
-0.9102272987365723,
-0.7652621865272522,
-0.6079254150390625,
-0.560128927230835,
-... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence in the Japanese language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun... | This is the first minority government in Quebec in more than 100 years since the year 1878. | 1 | NIv2 | task436_alt_ja_en_translation | zs_opt | [
-0.5770773887634277,
0.6279986500740051,
0.21503327786922455,
-0.5354455709457397,
0.23796965181827545,
-0.11358319222927094,
1.3993335962295532,
0.37732264399528503,
-0.2808356285095215,
0.016329698264598846,
0.10140442848205566,
-0.3982234001159668,
-0.4801575243473053,
0.084812171757221... |
Given the task definition, example input & output, solve the new input case.
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'... | Yes | 1 | NIv2 | task298_storycloze_correct_end_classification | fs_opt | [
0.013856973499059677,
0.5310983657836914,
0.019234901294112206,
0.3689820468425751,
0.20498374104499817,
-0.4293997287750244,
0.29123494029045105,
1.076088547706604,
0.22856035828590393,
0.33881571888923645,
-0.2183186411857605,
-0.2093660533428192,
-0.483442097902298,
0.054481714963912964... |
In this task, you are given two facts, and a multiple-choice question. Based on the given facts, answer the question with index of the correct option (e.g, "A").
Q: Fact1: when the seasons change from the summer to the fall , the amount of daylight will decrease, Fact2: Daylight, sunlight, is necessary to it., Questio... | A
****
| 4 | NIv2 | task1297_qasc_question_answering | fs_opt | [
0.44454264640808105,
0.36273813247680664,
-0.7361876964569092,
0.29449576139450073,
-0.5821387767791748,
-2.1094579696655273,
0.009880552999675274,
0.8292484879493713,
-0.8135027885437012,
0.14768058061599731,
-0.6130465865135193,
-0.5863499641418457,
-0.8615338802337646,
0.108688965439796... |
Detailed Instructions: In this task, you will be shown an English sentence. You need to classify the sentence as either a representation of an anaphor number agreement or as an incorrect representation. An anaphor is an expression whose interpretation depends upon another expression. Anaphor number agreement is a restr... | good | 8 | NIv2 | task1560_blimp_binary_classification | zs_opt | [
0.3533281683921814,
0.18516787886619568,
-0.008774932473897934,
-0.5645993947982788,
-0.8869038820266724,
-0.8926035165786743,
1.1273972988128662,
0.2211933434009552,
0.21179431676864624,
-0.3937177360057831,
-1.1107184886932373,
-0.4762129485607147,
-0.8199713230133057,
0.5152491331100464... |
The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (wherever available), output Ye... | Output: No
| 2 | NIv2 | task356_casino_classification_negotiation_self_need | fs_opt | [
0.2782883942127228,
0.2558254301548004,
-0.4479682445526123,
0.08256695419549942,
-0.2583933174610138,
-0.9458212852478027,
0.41967007517814636,
0.6498584151268005,
-0.5000987648963928,
0.33853739500045776,
0.41478225588798523,
-0.26946890354156494,
-1.1122016906738281,
-0.4102599620819092... |
Detailed Instructions: Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
Problem:Mount Aso has the world's largest active volcanic crater. In which country is it situated?
Solution: | aso | 8 | NIv2 | task899_freebase_qa_topic_generation | zs_opt | [
1.3181254863739014,
0.6990435719490051,
0.01107955351471901,
0.40722453594207764,
-0.50816810131073,
-0.15684941411018372,
0.22630423307418823,
0.353682279586792,
0.5166382789611816,
0.5255710482597351,
0.38749921321868896,
0.10786005854606628,
-0.11087179183959961,
-0.17082646489143372,
... |
You will be given a definition of a task first, then some input of the task.
Based on the given question and tppic, give an answer. The answer is available on on the internet. The questions are mostly centered around a single named entity.
concept: Reggie Bush question: where is reggie bush from?
Output: | ['Spring Valley'] | 1 | NIv2 | task1601_webquestions_answer_generation | zs_opt | [
-0.48147261142730713,
0.6730760335922241,
0.15633916854858398,
-0.0921354666352272,
-0.18825310468673706,
-0.7440014481544495,
0.8030672073364258,
-0.19070418179035187,
0.6044399738311768,
-0.11769820749759674,
-0.9578192830085754,
0.4836800694465637,
-0.7068647742271423,
0.155568212270736... |
You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equally likely to fill the blank. There should be an agreed upon answer to fill in ... | PersonX always kept a sharp knife in the kitchen compared to PersonY because _ was a professional chef.
| 3 | NIv2 | task032_winogrande_question_generation_person | fs_opt | [
0.560962438583374,
0.11051379889249802,
-0.11328860372304916,
0.43029993772506714,
0.25414085388183594,
-0.4936426281929016,
1.17136812210083,
0.9968909025192261,
-0.4174739718437195,
-0.8504343032836914,
-0.24375800788402557,
0.06707587838172913,
-0.42749154567718506,
-0.00478450115770101... |
Given the task definition and input, reply with output. In this task you're given a question and you have to paraphrase the question to create the output question while retaining the meaning of the original question.
Why are people so racist towards the Irish?
| Are Irish people racist towards black people? | 5 | NIv2 | task1345_glue_qqp_question_paraprashing | zs_opt | [
-0.3271149694919586,
2.0112972259521484,
0.6933588981628418,
0.046264924108982086,
-0.1471116542816162,
-0.25022926926612854,
0.32477104663848877,
0.4213438928127289,
0.2964223623275757,
0.3203294277191162,
-0.5551244020462036,
0.6784689426422119,
-0.6376610994338989,
-0.10749328136444092,... |
In this task, you're given a statement and three sentences as choices. Your job is to determine which sentence can be inferred from the statement. Incorrect choices change the meaning in important ways or have details that are not mentioned in the statement. Indicate your answer as 1,2, or 3 corresponding to the choice... | 1 | 3 | NIv2 | task200_mnli_entailment_classification | fs_opt | [
0.1552583873271942,
0.3710480332374573,
-0.10302643477916718,
-0.22702068090438843,
0.33676034212112427,
-0.5797066688537598,
0.16620582342147827,
0.5386612415313721,
0.18281123042106628,
-0.2673329710960388,
-0.7867374420166016,
0.17216317355632782,
-0.3838081955909729,
-0.471097230911254... |
Teacher: Given a sentence in German, generate a new German sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability ... | Sie werden wahrscheinlich ein Blatt Papier in einem Notizbuch zu finden. | 2 | NIv2 | task416_mickey_de_sentence_perturbation_generation | fs_opt | [
-0.18646499514579773,
0.5425573587417603,
-0.05009659007191658,
-0.5434188842773438,
0.17828363180160522,
-1.094433307647705,
0.49821120500564575,
1.2661317586898804,
0.23909005522727966,
0.03956922888755798,
0.01466330885887146,
0.0020039391238242388,
-0.9322627186775208,
-0.1162981763482... |
Given the task definition and input, reply with output. In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write the required POS tag answering the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjuncti... | JJ | 5 | NIv2 | task382_hybridqa_answer_generation | zs_opt | [
0.10085657238960266,
0.274400532245636,
-0.30016350746154785,
0.16390155255794525,
-0.15200720727443695,
-0.5436705946922302,
0.6619689464569092,
0.7958056926727295,
-0.3335707187652588,
-0.2673320174217224,
-0.5250147581100464,
0.9304710626602173,
0.07010701298713684,
0.44232243299484253,... |
In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
Q: [[10, -40, 14], [37, -26], [34, -34, -19], [-50... | [-5600, -962, 21964, 11700, 438672, 130900, 432, -32016] | 4 | NIv2 | task371_synthetic_product_of_list | zs_opt | [
0.028609268367290497,
0.5257555246353149,
-0.6091775298118591,
-0.7510196566581726,
-0.42480358481407166,
-0.272251695394516,
1.4793586730957031,
-0.32873013615608215,
-0.4126189947128296,
-0.32521915435791016,
-0.9944869875907898,
0.43151530623435974,
-0.6403681039810181,
-0.1457977294921... |
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.
Ex Input:
Sentence1: A strange lady walked into the club. Sentence2: She flirted with any man in sight and was asking for free drinks. Sentence3: Due to her behavior,... | Club, Dan, Girl
| 1 | NIv2 | task292_storycommonsense_character_text_generation | fs_opt | [
0.6988387107849121,
-0.35113823413848877,
-0.5953662395477295,
-0.0394798219203949,
0.499271035194397,
-0.562427282333374,
0.983562707901001,
1.1601204872131348,
0.41329512000083923,
0.038477588444948196,
-0.49387022852897644,
-0.5172138810157776,
-0.6886172294616699,
0.12281103432178497,
... |
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. (... | fear | 4 | NIv2 | task1662_cedr_ru_classification | fs_opt | [
-0.1474982649087906,
-0.1402248591184616,
0.06036026030778885,
-0.14576493203639984,
-0.24761156737804413,
-0.07314413785934448,
0.724875807762146,
0.7607503533363342,
0.19998463988304138,
0.01801898144185543,
-0.46066951751708984,
0.06589221954345703,
0.39212825894355774,
0.30568480491638... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the... | The woman ventriloquist is playing with a pig doll. | 0 | NIv2 | task187_snli_entailment_to_contradiction_text_modification | zs_opt | [
-0.7453559637069702,
0.7879714965820312,
-0.06564241647720337,
-0.8207347989082336,
-0.5500024557113647,
-0.2021901160478592,
0.15212053060531616,
0.6132427453994751,
0.5708216428756714,
-0.824546754360199,
-0.7730639576911926,
-0.7343793511390686,
-0.5532598495483398,
0.08437079936265945,... |
You will be given a person's personality, and a history of a conversation this person has had. You will be given four candidate sentences to complete the conversation, based on the context. Choose one and answer with the text.
[EX Q]: Personality: I like to train dogs.
I like to make cookies.
My favorite drink is coke... | Hi there, how are you today?
| 6 | NIv2 | task1730_personachat_choose_next | fs_opt | [
-0.14813880622386932,
-0.15056803822517395,
-0.8692940473556519,
0.16689713299274445,
0.0007942442316561937,
-0.1751779019832611,
1.1091874837875366,
0.23721621930599213,
-0.4671669900417328,
-0.4967729151248932,
-0.29168128967285156,
0.41259267926216125,
-0.0611906424164772,
0.05177300423... |
In this task you will be given a claim and a perspective. You should determine whether that perspective supports or undermines the claim. If the perspective could possibly convince someone with different view, it is supporting, otherwise it is undermining.
claim: The best way to protect Scottish interests in the EU is... | undermine | 0 | NIv2 | task738_perspectrum_classification | zs_opt | [
0.30038362741470337,
1.0503864288330078,
0.31412434577941895,
-0.2132144272327423,
-0.04642696678638458,
-1.4963462352752686,
1.061462640762329,
0.10970918834209442,
0.43825802206993103,
0.6313164234161377,
0.4390237331390381,
0.3730549216270447,
-0.21878017485141754,
-0.00959070771932602,... |
You will be given two questions. You should decide whether the second question is a good paraphrase of the first one. If you are able to tell that the two questions are the same without any other information, answer "Yes", otherwise answer "No".
--------
Question: original question: Which sports team's home is [Dodge C... | Yes
| 7 | NIv2 | task404_grailqa_paraphrase_validation | fs_opt | [
-0.7554540634155273,
0.2511867880821228,
0.4458019733428955,
0.010274076834321022,
0.10796354711055756,
-0.36614102125167847,
0.2501682639122009,
0.2742796540260315,
0.48789116740226746,
-0.7270494103431702,
-0.47549697756767273,
0.7345377802848816,
-0.6762522459030151,
-0.2080809623003006... |
Given a comment text in Tamil, classify the comment into one of these categories (i) Hope speech, if it contains encouraging, positive or supportive contents about equality, diversity or inclusion, (ii) Not Hope Speech or (iii) Not in Expected Language, if the text is not Tamil.
Edaila varra ad ah paatha bro kaduppa i... | Not Hope Speech
| 0 | NIv2 | task680_hope_edi_tamil_text_classification | fs_opt | [
-0.04021792858839035,
0.2066437304019928,
0.41209667921066284,
0.11958960443735123,
-0.4971770644187927,
-1.0037965774536133,
0.32200759649276733,
1.0455163717269897,
-0.3211263120174408,
-0.0060491012409329414,
-0.6507187485694885,
-0.20755982398986816,
-0.19402505457401276,
-0.2289305627... |
Q: You are asked to create a question containing a blank (_), based on the given context word. Your question must contain two related but different objects; for example "trophy" and "suitcase". The expected answer to your question must be one of the objects present in the sentence. The expected answer must not be assoc... | Comic books don't really entertain Clara, but she really likes novels. She thinks the _ are lame. | 7 | NIv2 | task031_winogrande_question_generation_object | zs_opt | [
0.7670046091079712,
0.5616346597671509,
0.26726794242858887,
0.14625920355319977,
0.6383310556411743,
-0.9328018426895142,
0.5523768663406372,
1.2359524965286255,
-0.3542931079864502,
-0.495006799697876,
-0.37878599762916565,
0.4126923680305481,
-0.3654802739620209,
-0.03079470619559288,
... |
Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
[EX Q]: I loved the product when it arrived, but within 2 weeks of using it, one side is co... | Bad review
| 6 | NIv2 | task929_products_reviews_classification | fs_opt | [
-0.5374221205711365,
0.3446882367134094,
-0.4681713283061981,
-0.8085429668426514,
0.35312536358833313,
-0.9659934043884277,
0.2601551413536072,
0.8631347417831421,
-0.08534608781337738,
0.8538227677345276,
-0.5261154174804688,
0.2432175576686859,
-0.12540581822395325,
-0.22867470979690552... |
Q: In this task, you're expected to write answers to questions involving multiple references to the same entity. The answer to the question should be unambiguous and a phrase in the paragraph. Most questions can have only one correct answer.
Passage: In 2001 the compilation Rotten Apples was released. The double-disc v... | Billy Corgan. | 7 | NIv2 | task002_quoref_answer_generation | zs_opt | [
0.6959636211395264,
0.4086492657661438,
-0.5395622253417969,
0.3024396598339081,
0.22583752870559692,
-0.8629177212715149,
0.9066771864891052,
0.49749165773391724,
-0.20858249068260193,
0.7423369288444519,
-0.1001942902803421,
0.8467410802841187,
-0.42326951026916504,
-0.1890997290611267,
... |
Detailed Instructions: 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... | look opposite right thrice and look right | 8 | NIv2 | task129_scan_long_text_generation_action_command_short | zs_opt | [
0.4498685896396637,
0.9254853129386902,
-0.4055213928222656,
-0.1115988940000534,
-0.11287157982587814,
0.404080867767334,
0.11390560120344162,
0.5587584972381592,
-0.41423970460891724,
-0.3068459630012512,
-0.7649985551834106,
-0.3979717791080475,
-0.5612179636955261,
0.041346997022628784... |
Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
Input: הם מורידים מהירויות בכחמישה עד עשרה אחוזים.
Output: | انها تخفف من السرعة بنسبة 10-5% | 3 | NIv2 | task1237_ted_translation_he_ar | zs_opt | [
-0.7133020758628845,
0.7998219728469849,
0.12342233210802078,
-0.2419857531785965,
-0.5512717962265015,
0.5629483461380005,
0.4061126112937927,
0.614533543586731,
0.8545511960983276,
-0.6038836240768433,
-1.989524245262146,
-0.9657188653945923,
-0.44818609952926636,
0.09583865106105804,
... |
Given a fact, create a question that can be answered using the fact. Construct the question such that it is unambiguous, has a unique answer and the answer can be given using the fact.
One example is below.
Q: Fact: deep sea animals live deep in the ocean
A: Frilled sharks and angler fish live far beneath the surface o... | Just like with humans, if another organism consumes more calories than it burns off, it will inevitably? | 9 | NIv2 | task1398_obqa_question_generation | fs_opt | [
-0.3304596543312073,
0.09567880630493164,
-0.821796178817749,
-0.22511237859725952,
-0.7772510647773743,
-0.3661506175994873,
0.314947247505188,
0.13876011967658997,
-0.3027716279029846,
-0.4385509192943573,
-0.3421538174152374,
0.01106972061097622,
-2.1329243183135986,
0.3740839660167694,... |
TASK DEFINITION: In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Spanish language.
PROBLEM: What approximate proportion of the human genome is estimated to be coding ?
SOLUTION: ¿Qué proporción aproximada del genoma humano se estima que es codifica... | En qué año se celebró la 1ª Conferencia mundial sobre Promoción de Salud situada en Ottawa
| 8 | NIv2 | task1432_head_qa_language_translation_en_to_es | fs_opt | [
0.23977431654930115,
0.3491710424423218,
-0.4968128800392151,
-0.8480376601219177,
-0.2887854278087616,
-0.380977600812912,
-0.02361733838915825,
0.42673394083976746,
0.471244752407074,
-0.016467072069644928,
-0.39281243085861206,
0.4227699637413025,
-0.18692734837532043,
0.089371889829635... |
Instructions: In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how the... | Child organization Acadia Students' Union is in what city? | 3 | NIv2 | task184_break_generate_question | zs_opt | [
0.6404603719711304,
0.15600883960723877,
-0.8599326014518738,
0.6239399909973145,
0.3090176284313202,
-0.4959053099155426,
0.9800228476524353,
0.482286661863327,
-0.37103402614593506,
0.5250021815299988,
-0.45531195402145386,
0.45854663848876953,
-0.18950484693050385,
0.042285382747650146,... |
Teacher: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, th... | mosses. | 6 | NIv2 | task041_qasc_answer_generation | zs_opt | [
0.19237971305847168,
1.0054302215576172,
-0.07023663073778152,
-0.5351547598838806,
-0.4976581931114197,
-1.058284044265747,
0.3052256405353546,
0.8150214552879333,
-0.46483737230300903,
-0.3657078742980957,
-0.9193977117538452,
0.18478462100028992,
-0.441005676984787,
-0.2276913821697235,... |
Generate an explanation for the given claim using the provided supporting material from the paragraph. Please consider the following points while generating an output. 1) The claim will always have supporting proof in the paragraph, and the paragraph will have a clear point of view supporting the claim. 2) There can be... | World War Two veteran Ermando Piveta, aged 99, became the oldest Brazilian to recover from the coronavirus on Tuesday. | 4 | NIv2 | task1369_healthfact_sentence_generation | zs_opt | [
0.24822673201560974,
0.7060792446136475,
-0.7420534491539001,
0.04584667459130287,
-0.11735650897026062,
-1.3533315658569336,
0.3455382287502289,
0.9522786140441895,
0.2661425471305847,
0.683403491973877,
-0.6430022716522217,
0.9304344654083252,
-0.956321656703949,
0.7419946193695068,
0.... |
A text is given in Hindi. Translate it from the Hindi language to the Urdu language. The translation must not omit or add information to the original sentence.
Q: एयर मार्शल डी. चौधरी एवीएसएम वीएम वीएसएम ने पश्चिमी वायु कमान के वरिष्ठ एयर स्टाफ ऑफिसर के रूप में पदभार ग्रहण किया है।
A: | ایئرمارشل ڈی چودھری نے ویسٹرن ایئرکمانڈ میں سینئر ایئر اسٹاف آفیسر کی حیثیت سے چارج سنبھالا | 4 | NIv2 | task1053_pib_translation_hindi_urdu | zs_opt | [
0.10494381189346313,
0.14047065377235413,
-0.5864990949630737,
-0.920410692691803,
-0.056151315569877625,
-0.18050545454025269,
0.15399283170700073,
0.25863468647003174,
0.3820224702358246,
0.09317462146282196,
0.24348050355911255,
-0.7485213279724121,
0.05848851799964905,
0.34810078144073... |
Teacher: Given a sentence in Bulgarian, generate a new Bulgarian 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... | Низпославането на истината е явен, всеблаг. | 2 | NIv2 | task415_mickey_bg_sentence_perturbation_generation | fs_opt | [
0.5723011493682861,
0.5153621435165405,
-0.1341838538646698,
-0.9339781999588013,
0.009284278377890587,
-0.8343787789344788,
0.8723229765892029,
1.036107063293457,
1.089661955833435,
-0.26782047748565674,
-0.10012964904308319,
0.7729266881942749,
-0.5211244225502014,
-0.7735347747802734,
... |
Teacher: Given a sentence, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
Teacher: Now, understand the problem? If you are still confused, see the following example:
Verify i... | no | 2 | NIv2 | task422_persent_sentence_sentiment_verification | fs_opt | [
-0.18352913856506348,
-0.31846296787261963,
0.5100877285003662,
0.31160902976989746,
0.41005393862724304,
-1.2811963558197021,
0.21167728304862976,
0.41603362560272217,
0.03290804475545883,
0.3677598834037781,
0.4699716567993164,
0.24320174753665924,
-0.4535599946975708,
-0.905761957168579... |
In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update provides additional inform... | weakener
| 5 | NIv2 | task936_defeasible_nli_snli_classification | fs_opt | [
-0.08365637063980103,
0.21678556501865387,
-0.5664122104644775,
0.25210875272750854,
0.08091074228286743,
-0.8314662575721741,
0.906921923160553,
1.4505280256271362,
0.185294046998024,
-0.36797067523002625,
-0.9445874691009521,
0.06433122605085373,
-0.42953914403915405,
-0.2311058640480041... |
Teacher:This task is about translating a given English language sentence to Yoruba language.
Teacher: Now, understand the problem? Solve this instance: Dates: September 6-8, 2019
Student: | Déètì: September 6 sí 8, 2019 | 6 | NIv2 | task1685_menyo20k_translation | zs_opt | [
0.2213534414768219,
0.6799894571304321,
0.47771155834198,
0.00688149593770504,
-0.37631601095199585,
-0.18862029910087585,
-0.7070304155349731,
0.2867335379123688,
0.4353908598423004,
-0.5700210332870483,
0.08115781098604202,
-0.15804028511047363,
-0.8426570892333984,
-0.22690775990486145,... |
In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them.
A lone gray wolf spent just 18 minutes feeding on a dead bull last month above Missoula's South Hills, but photos of its visit have extended the stay.
The pictures from an automatic field c... | A pair of Montana snowboarders made a name for themselves after chasing a moose down a mountain and filming the whole thing. After they posted the video to Facebook, it earned them national media coverage—and, for 21-year-old snowboarder Charlie Rush, a $225 fine, Fox News reports. The fine is for breaking a federal ru... | 0 | NIv2 | task1291_multi_news_summarization | zs_opt | [
0.5325186848640442,
0.1550999879837036,
-0.3407474756240845,
-0.3749752938747406,
0.21430033445358276,
-0.12921014428138733,
0.36746811866760254,
1.3491590023040771,
-0.5262573957443237,
-0.6666006445884705,
-0.14329911768436432,
-0.3494756519794464,
0.0862356647849083,
0.12968795001506805... |
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command.... | I_RUN I_RUN I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT
| 3 | NIv2 | task126_scan_structured_text_generation_command_action_all | fs_opt | [
0.3389616012573242,
0.5644164085388184,
-0.6052587032318115,
0.34860914945602417,
-0.12057994306087494,
-0.24675622582435608,
-0.05430879443883896,
0.3366457521915436,
-0.10136254876852036,
-0.03680802881717682,
-0.7482212781906128,
-0.04049030318856239,
-0.5883085131645203,
-0.24046391248... |
Teacher:In this task, you are given a context, a subject, a relation, and many options. Based on the context, from the options select the object entity that has the given relation with the subject. Answer with text (not indexes).
Teacher: Now, understand the problem? Solve this instance: Context: Marvelous USA, Inc., f... | xseed games | 6 | NIv2 | task1296_wiki_hop_question_answering | zs_opt | [
0.004903426859527826,
-0.6414672136306763,
0.045303843915462494,
0.13615095615386963,
0.061283599585294724,
-0.16212376952171326,
0.9511423707008362,
0.8026530742645264,
-0.15622590482234955,
-0.013906924054026604,
0.6388818025588989,
0.4896431565284729,
-0.3326697051525116,
-0.76493823528... |
Detailed Instructions: 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.
See one example below:
Problem: Property tax -- Property tax or 'house tax' is a local tax on buildi... | are spain and portugal in the same time zone | 4 | NIv2 | task1660_super_glue_question_generation | fs_opt | [
0.2600429952144623,
0.5996818542480469,
-0.3256148099899292,
0.24229612946510315,
0.3571084141731262,
-0.3579564690589905,
1.0567173957824707,
1.3091363906860352,
-0.2111796885728836,
0.24336756765842438,
-0.6001918315887451,
0.9061022996902466,
-0.7990093231201172,
-0.14811548590660095,
... |
Teacher: 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 4, if the element is odd you should multiply by 4 then add 2. The output should be a list of numbers that is the result of applying that logic to the input list. You should not round an... | [-17.5, -23.5, 21.5, -12.5, -11.5, -378, 206, 2.5, -306] | 2 | NIv2 | task368_synthetic_even_or_odd_calculation | fs_opt | [
-0.3684151768684387,
0.35587015748023987,
-0.16666440665721893,
-0.3440920114517212,
0.29831790924072266,
-0.5072869062423706,
1.043088436126709,
0.572217583656311,
-0.24160632491111755,
0.2902284562587738,
-0.49741289019584656,
-0.3875761032104492,
-0.6618649959564209,
-0.3296915888786316... |
In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Romanian language.
--------
Question: It is not hollow, it is round just as our world.
Answer: Nu este gol, este rotund la fel ca lumea noastră.
Question: Three children sitting in floor playing wit... | Creierul tău deja începe să se relaxeze pe măsură ce întrevezi sfârșitul.
| 7 | NIv2 | task1436_ro_sts_parallel_language_translation_en_to_ro | fs_opt | [
-0.6577969789505005,
1.2069671154022217,
0.30208057165145874,
-0.5845047235488892,
-0.49648517370224,
-0.5224021077156067,
1.0208356380462646,
0.058789655566215515,
0.6163332462310791,
-0.23772293329238892,
0.08768725395202637,
1.2260687351226807,
-0.7871379852294922,
0.000769330479670316,... |
Detailed Instructions: 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" bas... | Original | 8 | NIv2 | task428_senteval_inversion | zs_opt | [
-0.8148386478424072,
0.09544412791728973,
0.12110276520252228,
0.28232160210609436,
-0.1073371171951294,
-0.04066184163093567,
0.3233301639556885,
0.4797731339931488,
0.42329785227775574,
-0.13773766160011292,
-0.7085002660751343,
-0.6221718788146973,
-0.46855416893959045,
0.11420128494501... |
A text is given in English. Translate it from the English language to the Marathi language. The translation must not omit or add information to the original sentence.
Q: Commercial success and lack of creativity is whats stopping filmmakers to make movies for kids.
A: | व्यावसायिक यश आणि सृजनशीलतेचा अभाव या बाबींमुळे चित्रपट निर्माते बालकांसाठी चित्रपट बनविण्यासाठी फार उत्सुक नसतात. | 4 | NIv2 | task1085_pib_translation_english_marathi | zs_opt | [
-0.4610409140586853,
0.8081743121147156,
0.3540840446949005,
-0.12884077429771423,
-0.017673980444669724,
0.09473983943462372,
-0.12131837755441666,
0.7451531887054443,
-0.4024762809276581,
-0.4116719365119934,
-0.029109548777341843,
-0.15278130769729614,
-0.7701922655105591,
-0.3749578893... |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Example: Review: For a movie that gets no respect there sure are a ... | Solution: no | 5 | NIv2 | task285_imdb_answer_generation | fs_opt | [
-0.6459600925445557,
-0.04409047216176987,
-0.17126429080963135,
0.3138625919818878,
0.6101475954055786,
-0.6931360960006714,
0.8021107912063599,
0.7076607942581177,
-0.08446286618709564,
0.08987635374069214,
-0.39704498648643494,
-0.3026406466960907,
-0.5030419826507568,
-0.11717305332422... |
Teacher:A text is given in Urdu. Translate it from the Urdu language to the Marathi language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? Solve this instance: حکومت نے برقی گاڑیوں کے استعمال کو فروغ دینے کے لئے متعدد اقدامات کئے ہیں ،فی الحال ملک میں ... | इलेक्ट्रीक वाहनांचा वापर वाढण्यासाठी सरकारकडून अनेक पावले, सध्या देशात 3. | 6 | NIv2 | task990_pib_translation_urdu_marathi | zs_opt | [
0.4509285092353821,
0.680836021900177,
0.1968720257282257,
-1.108964204788208,
-0.3116445541381836,
-0.20744484663009644,
0.8086233735084534,
0.8494155406951904,
-0.30720800161361694,
-0.3262377381324768,
-0.5862690210342407,
-0.13455535471439362,
-0.16785168647766113,
-0.42112526297569275... |
Detailed Instructions: In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it. Your job is to determine which sentence(s) from the passage can be used to search for further information needed to answer the question.
Problem:Question: Wh... | ATFEH recorded their first full-length album, Things Aren't So Beautiful Now, with producer Shawn Sullivan (Bleeding Through, Reel Big Fish) in the summer of 2004 | 8 | NIv2 | task234_iirc_passage_line_answer_generation | zs_opt | [
0.7638372182846069,
0.08576923608779907,
-0.3572878837585449,
0.4232933521270752,
0.1443347930908203,
-0.29872485995292664,
0.6479734182357788,
0.0040376512333750725,
-0.40317004919052124,
0.5841968655586243,
0.20002032816410065,
0.3488060235977173,
-0.8085384368896484,
-0.1644307374954223... |
Q: Write a fact related to the given fact, based on the given topic word. Note that, your fact should have at least one word in common with the given fact. All facts in this task refer to scientific facts. Your related fact must form a chain with the given fact. Chains form when two facts connect together to produce th... | Electricity or electrical energy, is produced at a power plant. | 7 | NIv2 | task037_qasc_generate_related_fact | zs_opt | [
-0.01031886413693428,
0.9776099920272827,
-0.49746406078338623,
-0.3317934572696686,
-0.5610102415084839,
-1.5608899593353271,
-0.06809569150209427,
1.036670446395874,
-0.21893011033535004,
0.034861449152231216,
-1.0690782070159912,
0.961576521396637,
-0.5356424450874329,
-0.01476794946938... |
In this task, you're given a passage, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both passage and link information to create the q... | Of the people on the 1992 Democratic party ticket, who was the oldest? | 4 | NIv2 | task236_iirc_question_from_passage_answer_generation | zs_opt | [
-0.5151028633117676,
-0.15592354536056519,
-0.5159309506416321,
0.6954371333122253,
-0.1097656786441803,
-0.9023052453994751,
0.4614124298095703,
0.5445111989974976,
-0.3328697979450226,
0.6000995635986328,
0.379881888628006,
0.557217538356781,
-0.609227180480957,
0.35550442337989807,
-1... |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the ev... | No | 8 | NIv2 | task1202_atomic_classification_xneed | zs_opt | [
0.7372971773147583,
0.536899209022522,
0.3379836678504944,
-0.22745779156684875,
-0.4222443103790283,
-1.0284967422485352,
1.189607858657837,
0.018394317477941513,
-0.33028697967529297,
-0.5177727341651917,
-0.3913746476173401,
-0.5555093288421631,
-0.7662080526351929,
0.5303820967674255,
... |
A text is given in Bengali. Translate it from the Bengali language to the Urdu language. The translation must not omit or add information to the original sentence.
One example: আগামী কাল অর্থাৎ ১৬ জানুয়ারি রাজস্থানের বাঢ়মের জেলার পাচপাদরা’তে রাজস্থান তেল ও গ্যাস শোধনাগার প্রকল্পের সূচনা উপলক্ষে আয়োজিত এক অনুষ্ঠানে য... | نئی دہلی،26اپریل،نائب صدر جمہوریہ ہند جناب ایم وینکیانائیڈو نے آج ممبئی میں نیشنل میوزیم آف انڈین سینما کا دورہ کیا اور کہا کہ اس میوزیم کی نمائش یہاں آنے والوں کو اپنی پسندیدہ فلموں، اداکاروں اور موسیقی کی یادوں کی وادیوں میں لے جائے گی۔ | 6 | NIv2 | task1069_pib_translation_bengali_urdu | fs_opt | [
-0.10465146601200104,
-0.07985622435808182,
-0.030999820679426193,
-0.2309667468070984,
-0.8663910627365112,
-0.37309545278549194,
0.652955174446106,
1.0896421670913696,
-0.040252186357975006,
0.10849127918481827,
-0.20460884273052216,
-0.3498384654521942,
0.18983140587806702,
0.0721762180... |
Instructions: You will be given a sentence. Check whether the sentence is grammatically correct and is meaningful. If the sentence is grammatically correct, then answer with '1', otherwise answer with '0'.
Input: Sarah sang the anthem.
Output: | 1 | 3 | NIv2 | task1346_glue_cola_grammatical_correctness_classification | zs_opt | [
0.20216470956802368,
1.2688143253326416,
-0.15091876685619354,
0.14211755990982056,
0.05466558784246445,
-0.7236772179603577,
0.21215887367725372,
0.8859831690788269,
-0.19898547232151031,
-0.25441306829452515,
-0.4054451584815979,
-0.7456492185592651,
-0.3993534445762634,
-1.4458351135253... |
Instructions: In this task, you need to count the occurrences of the given word in the given sentence.
Input: Sentence: 'a woman in front of a bakery counter looking at baked goods on display behind glass and a man in motion behind the counter and a woman from the back behind him with some cannisters on high shelves on... | 4 | 3 | NIv2 | task158_count_frequency_of_words | zs_opt | [
0.6747993230819702,
0.4072601795196533,
-0.9430767297744751,
-0.6093224287033081,
-0.13716521859169006,
0.7179332971572876,
-0.022129980847239494,
0.5582633018493652,
0.4591059684753418,
0.032845113426446915,
-0.39892733097076416,
-0.05467239022254944,
0.17303942143917084,
0.52798581123352... |
This task is about creating an unanswerable question based on a given passage. Construct a question that looks relevant to the given context but is unanswerable. Following are a few suggestions about how to create unanswerable questions:
(i) create questions which require satisfying a constraint that is not mentioned i... | Who did not immediately see one of the paramount reasons for the spread of the unorthodox movement? | 4 | NIv2 | task348_squad2.0_unanswerable_question_generation | zs_opt | [
0.4447510838508606,
0.8100772500038147,
-0.6798174381256104,
0.2965086102485657,
-0.3622179627418518,
-0.22572502493858337,
0.8056632280349731,
0.7710243463516235,
0.16394081711769104,
0.1812935471534729,
-0.4733998477458954,
0.2781484127044678,
-0.7583165168762207,
0.04609473794698715,
... |
In this task, we ask you to rewrite a sentence in simple English without changing its general meaning. Essentially, you want to make the sentence easier to read by using simpler words, utilizing more straightforward sentence structures, and omitting non-essential information etc.
Most research articles published in th... | Most articles in the journal have an " eLife digest " . | 0 | NIv2 | task933_wiki_auto_style_transfer | zs_opt | [
-1.0774494409561157,
0.33415859937667847,
0.3325802683830261,
-0.1344199925661087,
0.5380588173866272,
-0.47425761818885803,
0.19246016442775726,
0.4389149844646454,
-0.05938330292701721,
0.2437877357006073,
-0.683890700340271,
-0.06829684227705002,
-0.487404465675354,
0.17943057417869568,... |
You are given a sentence in English. Your job is to translate the English sentence into Portugese.
Wouldn't that be terrific and won't it mean a lot more money for the city? | "" Não seria magnífico? "E não significaria muito mais dinheiro para a cidade?" | 0 | NIv2 | task1094_ted_translation_en_pt | zs_opt | [
-0.5602685213088989,
1.3036799430847168,
0.09658771753311157,
0.24095487594604492,
0.10341235995292664,
-0.6365658640861511,
-0.41562438011169434,
1.3763550519943237,
0.4424028694629669,
-0.6475949287414551,
-0.5392030477523804,
0.10398849099874496,
-0.7260125875473022,
-0.4619560241699219... |
Given the task definition and input, reply with output. Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
Tweet: @anonymized_account @anonymized_account @anonymized_account A to już jest twoja żałosna nadinterpretacja😁😁😁 , Question: Is the tweet free of... | Yes | 5 | NIv2 | task839_cdt_classification | zs_opt | [
-1.3817474842071533,
1.363877773284912,
0.6067749857902527,
0.7264906764030457,
-0.6202879548072815,
-0.5175560712814331,
0.9400037527084351,
-0.5702968239784241,
0.3385121822357178,
-0.050455573946237564,
-0.12823373079299927,
0.06911101937294006,
-0.6957690119743347,
-0.28113043308258057... |
In this task you are given a premise and two alternatives in Indonesian. You must choose the alternative that is more plausibly the cause or effect of the situation described by the premise. The input format is "premise
(1)alternative_1(2)alternative_2", the output should either be "1" or "2" based on your judgment.
On... | 2 | 6 | NIv2 | task1170_xcopa_commonsense_reasoning_id | fs_opt | [
-0.6662311553955078,
0.8766241073608398,
0.05257260054349899,
0.02353396639227867,
-0.5330190658569336,
0.23037409782409668,
0.5230123996734619,
-0.0639706552028656,
0.051818616688251495,
0.05931791663169861,
-1.1081594228744507,
0.15529972314834595,
-0.42859262228012085,
0.103914663195610... |
In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e you need to perform addition when you see 'aggiunta' and subtraction in case of 'sottrazione'.
Q: 5276 aggiunta 467 sottra... | -10453 | 4 | NIv2 | task086_translated_symbol_arithmetic | zs_opt | [
-0.37768667936325073,
0.764019787311554,
-0.18594874441623688,
-0.16512584686279297,
-0.53960120677948,
-0.5894067883491516,
0.4477580785751343,
0.6400305032730103,
0.274191677570343,
-0.5484864711761475,
-1.0615029335021973,
-0.4539901316165924,
-0.36302122473716736,
0.6023392677307129,
... |
Q: In this task, you will be shown a Persian passage and a question, and you have to determine whether the question is answerable based on the passage or not. If the question is answerable, choose the "True" label, and if not select "False"
سازمان اطلاعات مرکزی، همچنین مشهور با سرواژه «سیا» یا با کوتهنوشت «سیآیاِی»... | False | 7 | NIv2 | task396_persianqa_classification | zs_opt | [
0.1416633129119873,
0.08111341297626495,
-0.1248708963394165,
0.3448740839958191,
-0.7067904472351074,
0.19999739527702332,
0.49590545892715454,
0.6054921746253967,
0.3238298296928406,
0.40778881311416626,
-0.7828386425971985,
0.3352581858634949,
-0.6049970388412476,
0.2446603775024414,
... |
Detailed Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Hebrew.
See one example below:
Problem: Afinal de contas elas é que decidem, e decidiram mesmo.
Solution: אחרי הכל, הם החליטו, והם עשו,
Explanation: The Portugese sentence is correctly translated into He... | במקום זה גיליתי צעירות פקחיות וכיפיות, ואמיצות ונדיבות. | 4 | NIv2 | task1278_ted_translation_pt_he | fs_opt | [
0.026961004361510277,
0.9450349807739258,
0.4468443989753723,
-0.03570357710123062,
-0.5139321088790894,
-0.6686735153198242,
0.8938342332839966,
0.03547051176428795,
0.7758432626724243,
-0.1967047154903412,
-0.7303754687309265,
0.3627672791481018,
-0.8018085956573486,
-0.02315312065184116... |
In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B.
One example: [5797, 8817, '8297', 'b', 'U', 'b'], [5843, 8809, '8297', 'b', 'W', 'C']
Solution is here: 8297, b
Explanation: Here, '8297, b' is the longest common subsequence in both the input lists [5797, 8817, '8297',... | s, m, c, Z, U, B, 6151, 7811, 7321, M, J, 4405, y | 6 | NIv2 | task605_find_the_longest_common_subsequence_in_two_lists | fs_opt | [
-0.3131294250488281,
0.242001473903656,
-0.4012136459350586,
-0.5505584478378296,
-0.14640767872333527,
-0.3910955786705017,
-0.08929991722106934,
0.8753615021705627,
-0.3088691234588623,
0.1582726538181305,
-0.9331657886505127,
0.2651849389076233,
0.307279497385025,
0.1872778683900833,
... |
Detailed Instructions: In this task you are given a small conversation between two persons and 4 options on how the conversation should continue. Your job is to choose the most reasonable option. The conversation and the options are separated by a newline character. Each dialogue in the conversation are separated by a ... | A | 9 | NIv2 | task611_mutual_multi_turn_dialogue | zs_opt | [
-0.05503012239933014,
0.27438732981681824,
0.10869567096233368,
-0.12606042623519897,
0.26996341347694397,
0.29029953479766846,
0.06977730244398117,
0.6150408983230591,
0.7777465581893921,
0.19136297702789307,
-0.62589430809021,
-0.08965758979320526,
0.8176265358924866,
-0.4998749494552612... |
In this task you will be given a list of integers. You should find the minimum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the smallest possible absolute distance.
Q: [-30, 99, 50,... | 2
****
| 4 | NIv2 | task1445_closest_integers | fs_opt | [
-0.23872977495193481,
0.4310987591743469,
0.024281691759824753,
-0.5603758096694946,
-0.01342015340924263,
-0.2847537696361542,
1.084660530090332,
0.3398347496986389,
0.3739830553531647,
-0.024511881172657013,
-0.34011128544807434,
-0.23324891924858093,
-0.6837153434753418,
0.0869000181555... |
Detailed Instructions: In this task, you are given an input stream, and your task is to produce a grammatically correct version of the input sentence. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a grammatically correct version of the input ... | ['what', 'I', 'want', 'to', 'do', 'in', 'this', 'video', 'is', 'give', 'ourselves', 'a', 'framework', 'for', 'thinking', 'about', 'the', 'rent', 'versus', 'buy', 'decision', 'for', 'a', 'home', 'and', 'the', 'key', 'takeaway', 'I', 'hope', 'you', 'have', 'after', 'this', 'video', 'is', "there's", 'not', 'just', 'a', 's... | 8 | NIv2 | task1415_youtube_caption_corrections_grammar_correction | zs_opt | [
0.4389079809188843,
0.18166926503181458,
-0.0003320034593343735,
-0.06478067487478256,
0.45690539479255676,
-0.5424891114234924,
0.04794016852974892,
1.1795605421066284,
-0.5206862688064575,
0.08335035294294357,
0.09788718074560165,
-0.053135111927986145,
-0.6515737175941467,
-0.5254802703... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
Input: Consider Input: 誰もが答えを知っている
Output: Tutti conoscevano la risposta.
Input: Consider Input: 今では自分の農場の活動すべてを管理することができます」と言いました
Output: Ora può svolgere tutte le attività della sua fattoria.
Input: Consider Inpu... | Output: È il secondo principale fattore al cambiamento climatico.
| 2 | NIv2 | task1096_ted_translation_ja_it | fs_opt | [
-0.06223166361451149,
0.46815013885498047,
-0.5410245656967163,
0.07579432427883148,
-0.4221426248550415,
-1.5529999732971191,
0.005875841714441776,
0.5786662101745605,
0.3569568991661072,
-0.692790687084198,
-0.8643923997879028,
0.673202633857727,
-0.3093187212944031,
0.22318077087402344,... |
Part 1. Definition
Given a document, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
Part 2. Example
Verify if the sentiment of the following document towards the entity Bill ... | no | 7 | NIv2 | task423_persent_document_sentiment_verification | fs_opt | [
-0.3992323875427246,
0.46208077669143677,
0.3045060634613037,
0.03094620443880558,
0.48767709732055664,
-0.7059667110443115,
0.23763355612754822,
0.18279403448104858,
-0.1554815173149109,
0.5266577005386353,
-0.20976784825325012,
0.4393784999847412,
-0.4644126296043396,
-0.6635580062866211... |
You will be given a definition of a task first, then some input of the task.
Decide the language of that sentence. The language can be English, French, German, Italian, or Spanish.
Text: 'Le consulto horarios de sevilla a madrid el lunes , día 29 de marzo de 2004 entre las 6 y 30 y las 7 y 30 de la mañana .'
Output: | Spanish | 1 | NIv2 | task896_miam_language_classification | zs_opt | [
-0.31284481287002563,
0.8348878026008606,
0.4375867545604706,
-0.008832710795104504,
0.13378146290779114,
0.2572348117828369,
-0.1241062581539154,
0.23031139373779297,
0.27107471227645874,
-0.46452856063842773,
0.10964737832546234,
0.19681674242019653,
0.4148319661617279,
-0.28769427537918... |
Teacher:In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e you need to perform addition when you see 'aggiunta' and subtraction in case of 'sottrazione'.
Teacher: Now, under... | 9153 | 6 | NIv2 | task086_translated_symbol_arithmetic | zs_opt | [
0.2624877691268921,
0.5342241525650024,
-0.06075524166226387,
-0.4203944802284241,
-0.44723057746887207,
0.04745439440011978,
0.5055387616157532,
0.6951342821121216,
0.24340777099132538,
-0.43686139583587646,
-0.6107313632965088,
-0.8670831918716431,
-0.4856724739074707,
0.4206589162349701... |
Teacher: In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Teacher: Now, understand the problem? If you are still confused, ... | フェラーリのドライバー、フェルナンド・アロンソは、支持を表明した者の一人で、土曜日の予選でのポールポジションをデ・ビロタに捧げた。 | 2 | NIv2 | task435_alt_en_ja_translation | fs_opt | [
-0.10298158973455429,
0.4188331067562103,
0.025224238634109497,
0.1444186419248581,
-0.02213345468044281,
-0.43330448865890503,
0.361714631319046,
0.52202308177948,
0.1563086211681366,
-0.6434258818626404,
-0.4214814305305481,
0.35617998242378235,
-0.23903010785579681,
0.3222639560699463,
... |
Given the task definition and input, reply with output. 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. ... | run around left after jump right twice | 5 | NIv2 | task127_scan_long_text_generation_action_command_all | zs_opt | [
0.07725397497415543,
0.8345404863357544,
-0.36952346563339233,
0.069427989423275,
-0.21227067708969116,
0.3708750009536743,
0.2021605372428894,
0.3941894769668579,
-0.3013048768043518,
-0.26315099000930786,
-0.9486159086227417,
-0.3607856035232544,
-0.6098051071166992,
-0.00228265812620520... |
Teacher:You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish.
Teacher: Now, understand the problem? Solve this instance: この準備が進む傍ら僕が協力を要請した ― 警察は待機していましたそして毒薬ができあがり子どもに飲ます直前僕は警察に電話をし幸運にも警察が突入彼らを逮捕しました
Student: | W tym czasie zawiadomiona przeze mnie policja, była już w stanie gotowości, i jak tylko mikstura była gotowa, i jak tylko mikstura była gotowa, zadzwoniłem po nich. Aresztowanie się udało. | 6 | NIv2 | task1097_ted_translation_ja_pl | zs_opt | [
0.3436102271080017,
0.6222323179244995,
-0.061973825097084045,
-0.6985446214675903,
-0.3044775426387787,
-0.8032104969024658,
0.32069456577301025,
-0.1925109326839447,
0.19700941443443298,
-0.3308587372303009,
-0.3869791030883789,
0.11846445500850677,
-0.4605509638786316,
-0.14137144386768... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
Example Input: אף פעם. הוא תמיד, אבל תמיד, התיחס לכל אחד מאיתנו באופן שווה בצורה בלתי נסבלת בכיתה.
Example Output: 絶対にです。いつもクラスの1人1人を耐えられないくらい平等に扱ってくれました
Example Input: מי שמבין קצת באנטומיה יודע שזה לא מקום טוב להיחתך בו,... | 彼女が「私と結婚したじゃない」と言うと彼は「でもこれは僕の文化的思想だから」と言ったそうです彼らはしっかり議論をして彼女は夫に「娘たちを連れて行くなら私を殺してからにしなさい」と言ったそうです
| 3 | NIv2 | task1235_ted_translation_he_ja | fs_opt | [
0.5431305766105652,
-0.5598971843719482,
-0.06372226029634476,
0.16101111471652985,
0.9023054242134094,
-0.7039023637771606,
1.1326236724853516,
0.639464259147644,
0.6283359527587891,
-0.0437016561627388,
-0.4255675971508026,
1.0297092199325562,
-0.32918882369995117,
0.25969672203063965,
... |
Instructions: In this task, you are given music product reviews in German language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Input: Hmm was soll das! . Also ich habe alle Albums von den ''Fantastischen ... | NEG | 3 | NIv2 | task481_cls_german_music_classification | zs_opt | [
-0.3479214310646057,
0.5069230794906616,
-0.8863240480422974,
0.3752484917640686,
-0.23487488925457,
0.124228835105896,
1.5858784914016724,
0.4384387135505676,
0.38972169160842896,
0.4075964391231537,
-0.6024811267852783,
0.054965078830718994,
-0.15918336808681488,
-0.540391206741333,
1.... |
You will be given a definition of a task first, then some input of the task.
You will be given two pieces of text with the same meaning. One of them is simpler and easier to understand for non-native English speakers. Complex texts may contain more difficult words, have unnecessary phrases or contain long sentences. Yo... | Text one | 1 | NIv2 | task112_asset_simple_sentence_identification | zs_opt | [
-1.1905567646026611,
0.5920349359512329,
0.20871181786060333,
-0.4947986304759979,
0.24476462602615356,
-0.737740159034729,
0.3102414011955261,
0.7998521327972412,
0.21017268300056458,
0.3051842153072357,
-0.3501887321472168,
-0.4330328702926636,
-0.3390694856643677,
0.020917877554893494,
... |
This task is to translate a news commentary given in Italian language into Zhuang language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
--------
Question: Gli autori, Katie Farrant e Magda Rutkowsk... | 有趣的是，大多数欧洲大银行的主要投资目标是其他欧洲市场，而不是世界其他地区，这使得欧洲市场对总营收额的贡献达到了近30%，而十年前这一数字为20%。造成这一现象的原因有二。一方面，亚洲在欧洲银行营收额中所占的比重可能在上升，但被来自美国的收入的下降抵消了。这一现象反映了相对重要性的变化，但欧洲银行美国业务量的绝对值仍然是上升的，只是幅度必其他地区低。
| 7 | NIv2 | task1376_newscomm_translation | fs_opt | [
0.4862574338912964,
0.19152024388313293,
-0.16043275594711304,
-0.014498348347842693,
0.4173504114151001,
-0.3841019868850708,
0.598318338394165,
0.7216325998306274,
-0.19964005053043365,
-0.19470073282718658,
-0.05120909959077835,
0.19273678958415985,
-0.7922883033752441,
0.01778196915984... |
In this task, you are given a abstract of article and corresponding title of an article. Your task is to generate label "yes" if title is right for article, otherwise generate "no".
Abstract: Maintenance of normal endothelial function is critical to various aspects of blood vessel function, but its regulation is poorl... | yes
| 0 | NIv2 | task1587_scifact_classification | fs_opt | [
0.06149230897426605,
0.02641145884990692,
-0.18655946850776672,
-0.1928955614566803,
0.4238150119781494,
-0.9604379534721375,
0.8882138729095459,
0.7422815561294556,
-0.10275909304618835,
0.4965152144432068,
-0.2480335384607315,
0.28433454036712646,
-0.48902857303619385,
0.2475087642669677... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Try to find the best answer that is most likely to fill in "_". Note that the URLs in the tex... | Facebook | 1 | NIv2 | task339_record_answer_generation | zs_opt | [
-0.5025685429573059,
-0.44893765449523926,
-0.44731009006500244,
-0.6498048305511475,
-0.06950362026691437,
-0.28114232420921326,
0.25876444578170776,
0.6743885278701782,
-0.08036200702190399,
0.10188477486371994,
-0.5721555352210999,
-0.00536727998405695,
0.23750346899032593,
0.5448066592... |
Instructions: Given a sentence in the Japanese and Thai 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: 「最高権力者が自殺を問題視しない限り、我々の共同の努力は何の結果も生み出さない可能性が高い」モスクワのセルブスキー心理学センターのボリス・ポロジー氏は昨日... | No | 3 | NIv2 | task1129_alt_ja_th_answer_generation | zs_opt | [
-0.44269973039627075,
-0.11435645818710327,
0.4441909193992615,
0.16681039333343506,
0.1194620206952095,
-0.7590641975402832,
0.5775626301765442,
0.31025615334510803,
-0.19025343656539917,
0.10722385346889496,
-0.3010205626487732,
0.43248364329338074,
0.04978279396891594,
0.322945594787597... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of th... | [2116, 16320, 211200] | 1 | NIv2 | task371_synthetic_product_of_list | zs_opt | [
-0.26619452238082886,
0.1417309045791626,
-0.9191868305206299,
0.1270793378353119,
0.09214629232883453,
0.37476399540901184,
1.1242260932922363,
0.07841026782989502,
-0.00758696673437953,
-0.05474650114774704,
-0.8094104528427124,
-0.01035927515476942,
-0.36541301012039185,
-0.235369428992... |
Given the task definition and input, reply with output. In this task, you are given an input list A comprising of numbers and alphabets. You need to extract and sort the unique alphabets in the list. The alphabets in the input list will only be in lowercase. Return -1 if there is no alphabet in the input list.
['255',... | a | 5 | NIv2 | task636_extract_and_sort_unique_alphabets_in_a_list | zs_opt | [
-0.59309321641922,
0.7369158267974854,
0.1270424723625183,
-0.04988929629325867,
0.4187734127044678,
0.2578452229499817,
1.163339376449585,
0.30156394839286804,
-0.004091433249413967,
-0.23737338185310364,
-0.4964399039745331,
-0.0905463695526123,
-0.0686124637722969,
-0.440552681684494,
... |
Given the task definition and input, reply with output. You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.
عمد تاً می بایست از رسانه های جمعی در این باره انتقاد کرد. عمد تاً می بایست از رسانه های جمعی در این باره انتقاد کرد.
| In gran parte sono i media a dover essere condannati per questo genere di cose. | 5 | NIv2 | task1271_ted_translation_fa_it | zs_opt | [
-1.428305983543396,
1.0580003261566162,
0.1635594516992569,
0.2474202811717987,
-0.7514875531196594,
0.41906893253326416,
0.49516215920448303,
0.7240841388702393,
-0.12498873472213745,
-0.6323308944702148,
-0.8432267904281616,
0.5959145426750183,
-0.13787800073623657,
0.5011208057403564,
... |
In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the correct sub... | True
| 0 | NIv2 | task1187_politifact_classification | fs_opt | [
-0.1213364526629448,
0.519485354423523,
-0.08221540600061417,
-0.4417043924331665,
-0.48452961444854736,
-0.13321250677108765,
0.8292487859725952,
0.6614576578140259,
-0.1376875340938568,
-0.30242249369621277,
-0.5020849704742432,
-0.14088860154151917,
-0.529279351234436,
0.266198962926864... |
In this task, you are given one English sentence. The major part of the sentences talk about health-related topics, but some of the them describe an organization and its activities. Your job is to translate the given sentences into Swedish.
Blood-borne virus such as
HIV infection
, ... | Bloodburna virus som
HIV-infektion
,
hepatit B
och
hepatit C
kan överföras sexuellt. | 0 | NIv2 | task1395_europa_ecdc_tm_en_sv_translation | zs_opt | [
-0.24813182651996613,
0.5124277472496033,
-0.3187379837036133,
-0.028829865157604218,
0.049717675894498825,
-0.37450242042541504,
0.24129775166511536,
0.33316946029663086,
0.3940011262893677,
-0.5226414203643799,
-0.15505388379096985,
0.5483224987983704,
-0.3792499899864197,
-0.30874481797... |
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 -
'.': Period symbol is used f... | ADP | 9 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | fs_opt | [
0.3531947433948517,
0.18422845005989075,
-0.029949385672807693,
0.00269249826669693,
-0.015865547582507133,
-0.5092818737030029,
0.6017920970916748,
0.6267286539077759,
-0.5227863788604736,
0.0012304390547797084,
-0.7063597440719604,
0.04146554693579674,
-0.5672528743743896,
0.437989026308... |
Given a sentence in Russian, generate a new Russian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it b... | Ты следующий, кто найдет кроликов в ульях.
| 5 | NIv2 | task410_mickey_ru_sentence_perturbation_generation | fs_opt | [
0.24800726771354675,
0.24508190155029297,
-0.02035708539187908,
-0.3627317547798157,
-0.4450341761112213,
-0.44265198707580566,
0.7176727652549744,
1.324211835861206,
0.1584315150976181,
-0.33237627148628235,
-0.7225600481033325,
-0.4326275587081909,
-0.2557646930217743,
0.6057097315788269... |
Detailed Instructions: In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
Problem:It's been a strong thought in my mind.
Solution: | Have you considered freelancing? | 8 | NIv2 | task568_circa_question_generation | zs_opt | [
-0.04043075442314148,
1.010920524597168,
0.1856156885623932,
0.019867561757564545,
0.18487484753131866,
-2.187833786010742,
0.28088200092315674,
0.6237190365791321,
0.32629889249801636,
-0.13879750669002533,
-0.18012049794197083,
-0.3809660077095032,
-1.7593157291412354,
-0.039795644581317... |
TASK DEFINITION: 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
PROBLEM: Event:PersonX builds PersonX's h... | excited
| 8 | NIv2 | task924_event2mind_word_generation | fs_opt | [
0.44294023513793945,
0.03757910802960396,
0.04786330461502075,
-0.4031704366207123,
-0.45033660531044006,
-0.4404866695404053,
1.5671838521957397,
0.42748862504959106,
-0.10159569978713989,
-0.23768341541290283,
0.3015754222869873,
-0.06140570342540741,
-0.9139695763587952,
0.1807074546813... |
In this task, you will be presented with a question, a word, and a POS tag. You have to determine whether the part-of-speech tag of the given word in the question is equal to the given POS tag or not. Give your answer with True or False. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordi... | True | 9 | NIv2 | task346_hybridqa_classification | fs_opt | [
0.16392765939235687,
0.2806442379951477,
-0.3412312865257263,
0.728808581829071,
-0.2035827338695526,
-0.5456222295761108,
0.7182567715644836,
0.46745169162750244,
-0.40752112865448,
0.14896543323993683,
-0.7530966401100159,
0.4102512300014496,
-0.11367443203926086,
-0.07568711787462234,
... |
Instructions: In this task, you are given a sentence and your task is to identify whether the sentence contains motion or not, by classifying the sentence into Yes or No. The sentence belongs to the 'Yes' category if there is an occurrence of a motion of a physical entity otherwise the sentence belongs to the 'No' cate... | Yes | 3 | NIv2 | task1517_limit_classfication | zs_opt | [
-0.41792482137680054,
0.3826466500759125,
0.1523381918668747,
0.8392181396484375,
-0.14205259084701538,
-0.034247998148202896,
0.12818537652492523,
1.2932860851287842,
0.04134909808635712,
-0.3735972046852112,
-0.5196126699447632,
-0.7118924856185913,
-0.2801051139831543,
0.034634016454219... |
instruction:
In this task, you are given a sentence in English, and your task is to translate it into Persian.
question:
hollander .
answer:
هالندر .
question:
atomization .
answer:
ريز سازي .
question:
my mouths full of cotton .
answer:
| دهن من پر ازکتانه .
| 9 | NIv2 | task658_tep_en_fa_translation | fs_opt | [
0.42741358280181885,
1.0926796197891235,
-0.29680758714675903,
-0.04121281951665878,
-0.5346564054489136,
-0.13089384138584137,
-0.0031681135296821594,
0.6011161804199219,
0.3367151618003845,
-0.24513588845729828,
-0.6276324987411499,
-0.16862717270851135,
-0.9362119436264038,
0.4288013279... |
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 ... | No | 2 | NIv2 | task1209_atomic_classification_objectuse | fs_opt | [
0.32626432180404663,
0.19500590860843658,
-0.0388244092464447,
0.2104002684354782,
-0.4931923747062683,
-0.8686788082122803,
0.7257018685340881,
0.9898395538330078,
-0.4047695994377136,
-0.15822547674179077,
-0.47295811772346497,
-0.1510707437992096,
-0.5306848287582397,
-0.148455247282981... |
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).
Q: concept: John Connor answers: ['Christian Bale']
A: | who plays john connor in terminator salvation? | 4 | NIv2 | task1602_webquestion_question_genreation | zs_opt | [
0.5629144310951233,
0.8998702168464661,
-0.5192907452583313,
-0.11886177957057953,
0.518744170665741,
-0.8184479475021362,
0.40171435475349426,
0.09822307527065277,
-0.12060113251209259,
-0.5327199101448059,
0.6705607771873474,
-0.045572757720947266,
-1.5227000713348389,
-0.438529044389724... |
Q: In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
Context: Kendall liked the music they created after many long hours.
Answer: a good musician
A: | How would you describe Kendall? | 7 | NIv2 | task581_socialiqa_question_generation | zs_opt | [
-0.3856261074542999,
1.3163814544677734,
0.05710388720035553,
-0.5231584310531616,
0.10451649874448776,
-0.024212758988142014,
0.068475142121315,
0.06033624708652496,
-0.16063959896564484,
0.22472549974918365,
-0.05500476807355881,
-0.13300156593322754,
-1.2204442024230957,
0.0136603172868... |
You are given a dialog between 2 or more individuals. You need to generate the number of the speaker (e.g. 1 for Speaker 1) who had the most lines in the dialog. If there is a tie, output the answer '0'.
Let me give you an example: Speaker 1: What do you think we should do for our 10th wedding anniversary?
Speaker 2:... | 1 | 8 | NIv2 | task909_dialogre_prevalent_speakers | fs_opt | [
0.6618461608886719,
0.6773967146873474,
-0.30988478660583496,
0.21267512440681458,
-0.023689648136496544,
0.22635909914970398,
0.0939616784453392,
0.6894203424453735,
-0.34385156631469727,
0.08233771473169327,
0.0456249862909317,
0.2954694628715515,
-0.623510479927063,
-0.3329284191131592,... |
In this task, you're given five sentences, numbered 1 through 5. Your job is to generate a title for the story that makes complete sense. The title must be short, with less than three words, use simple language, and include the main topic of the story.
Example: Sentence 1: Marcus needed clothing for a business casual e... | Solution: Pet | 5 | NIv2 | task219_rocstories_title_answer_generation | fs_opt | [
-0.041407592594623566,
0.5152361392974854,
0.02662689983844757,
-0.15338203310966492,
0.27458715438842773,
0.10623417794704437,
-0.17597825825214386,
0.36259305477142334,
-0.11467298865318298,
0.5360313057899475,
-0.8804212212562561,
-0.23429420590400696,
-0.41517946124076843,
0.0269044023... |
instruction:
In this task, you are given two simple actions (associated with "A", "B"). You must identify which action is considered less ethical. Do not generate anything else apart from one of the following characters: 'A', 'B'.
question:
(A) giving someone an ultimatum to identify himself online before I do it for h... | A
| 9 | NIv2 | task106_scruples_ethical_judgment | fs_opt | [
-0.6890913248062134,
0.44370147585868835,
0.32544106245040894,
-0.3805355429649353,
-0.9280353784561157,
-0.45032307505607605,
0.7423123121261597,
0.16832703351974487,
0.12913547456264496,
0.25261619687080383,
-0.2069234549999237,
0.11420156061649323,
-0.16726557910442352,
-0.7577630877494... |
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 contains language regarded as ... | Solution: Non-obscene | 5 | NIv2 | task326_jigsaw_classification_obscene | fs_opt | [
-0.6410914659500122,
-0.03637174144387245,
0.8534135818481445,
0.2680366337299347,
0.34766432642936707,
-0.46589404344558716,
0.003050524741411209,
0.7094072103500366,
0.14385944604873657,
0.49587196111679077,
-0.012823586352169514,
-0.12783566117286682,
0.03425651788711548,
-1.27428102493... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
[Q]: Mirade a mesa de café: crece en anchura e altura para sentar a 10.
[A]: Vean la mesita baja, crece en altura y tamaño para acomodar a 10.
[Q]: Así, empezamos cunha mesa pregable na sala de espera da clínica, estil... | Necesitabas mi empatía y compasión, y por encima de todo, necesitabas un médico que estuviera dispuesto a considerar que tal vez no defraudaste al sistema.
| 5 | NIv2 | task1240_ted_translation_gl_es | fs_opt | [
-0.5005659461021423,
0.6056554913520813,
-0.6654359698295593,
-0.861567497253418,
-0.1760859191417694,
-1.0862045288085938,
0.2832168638706207,
0.8058590292930603,
0.40722858905792236,
-0.03823920711874962,
0.10392647236585617,
-0.005608669947832823,
-0.49425897002220154,
1.024655938148498... |
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