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 the task definition and input, reply with output. In this task you are given a sentence. You must judge whether subject of the main clause is singular or plural. Label the instances as "Singular" or "Plural" based on your judgment.
The speedboat continued its approach, slowing somewhat as it neared the massive s... | Singular | 5 | NIv2 | task430_senteval_subject_count | zs_opt | [
-1.3994561433792114,
0.8169451951980591,
0.3463289141654968,
-0.6091697216033936,
-0.3523709177970886,
-0.023204723373055458,
0.702286958694458,
-0.08601925522089005,
-0.19012245535850525,
-0.2323245406150818,
-0.32983994483947754,
-0.1991983950138092,
0.14818045496940613,
-0.2769545018672... |
In this task, you are given a hateful post in Spanish from online platforms. You are expected to classify the target being harassed in the post as individual or generic, i.e., single person or a group of people. Note that the URLs in the text have been replaced with [Link].
Example input: Post: @Darkeph Ella es más bo... | Individual | 3 | NIv2 | task338_hateeval_classification_individual_es | fs_opt | [
-1.3002989292144775,
0.36481142044067383,
0.4187030792236328,
-0.28059592843055725,
-0.5133223533630371,
-0.818508505821228,
0.7291896343231201,
0.4947146475315094,
-0.27416425943374634,
-0.22897934913635254,
-0.45097965002059937,
0.30018049478530884,
-0.7615641355514526,
-0.31170105934143... |
Given the task definition and input, reply with output. In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A preceding the last i elements. i will always have a value less than the length of A.
13, ['1389', 'k', '2651', 'S', '7759', '8357', 'r', '758... | 1389, k, 2651, S, 7759, 8357, r, 7581, Z, B, k, w, z, z, 7775, o | 5 | NIv2 | task078_all_elements_except_last_i | zs_opt | [
-0.1750486195087433,
0.8566105961799622,
0.02992888353765011,
-0.3529106080532074,
-0.5518894195556641,
-0.40306124091148376,
0.398021399974823,
-0.3740270137786865,
-0.45338332653045654,
-0.06752587854862213,
-0.5877299308776855,
-0.0034281034022569656,
0.2308199405670166,
0.2086010724306... |
Given a sentence in the Japanese and Filipino language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Ex Input:
Japanese: 彼はさらに彼の妻が、彼に何が起きているか分からないままにしておくために彼の薬を「操作した」と断言している。
Filipino: "Hindi ako manana... | Yes
| 1 | NIv2 | task1120_alt_ja_fil_answer_generation | fs_opt | [
-0.09530758857727051,
-0.6711637377738953,
-0.14584192633628845,
0.5083951950073242,
0.26998719573020935,
-0.35566747188568115,
0.5321917533874512,
0.5780441164970398,
-0.0709940642118454,
-0.07765114307403564,
-0.6639914512634277,
0.13990169763565063,
-0.6659315824508667,
0.25889372825622... |
In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using terms from the passage. Indicate your choice as 1, 2, or 3.
--------
Question: Question: Of the king Duchy sided against and... | 1
| 7 | NIv2 | task230_iirc_passage_classification | fs_opt | [
0.4825526475906372,
0.2197599709033966,
-0.3825007677078247,
0.32029515504837036,
0.31600749492645264,
0.014638208784162998,
0.9920340776443481,
1.364661455154419,
-0.39966464042663574,
0.38624030351638794,
-0.2697085440158844,
0.4518199563026428,
-0.4527578353881836,
0.21877583861351013,
... |
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 justificati... | Europe
| 5 | NIv2 | task075_squad1.1_answer_generation | fs_opt | [
0.47198286652565,
0.26673293113708496,
0.021565623581409454,
-0.30266082286834717,
0.885553240776062,
-0.3030826151371002,
1.3550634384155273,
0.4528955817222595,
-0.04449208825826645,
0.3441368341445923,
-0.45708316564559937,
0.29185134172439575,
-0.9755877256393433,
0.2896295189857483,
... |
In this task you are given a sentence. You must judge whether the object of the main clause is singular(like: apple) or plural(like: apartments). Label the instances as "Singular" or "Plural" based on your judgment.
Jagged yet graceful his movements, lips seductive, voice full of carefully modulated pain. | Plural | 0 | NIv2 | task431_senteval_object_count | zs_opt | [
-1.2531516551971436,
1.1134294271469116,
0.3647707998752594,
-0.2755371332168579,
-0.3294631838798523,
-0.34563136100769043,
0.968508243560791,
-0.019493352621793747,
-0.4835697114467621,
-0.2920067310333252,
-0.39808958768844604,
-0.054365646094083786,
-1.0000240802764893,
-0.267651259899... |
In this task, you have to generate the named entities (NER) given its ingredients of the recipe. Named entities are the names of the items without their quantity.
Q: 1/3 c. lemon juice, 1/3 c. soy sauce, 6 to 8 pork chops
A: lemon juice, soy sauce, pork chops
****
Q: FOR THE PANCAKES:, 2/3 cups Rolled Oats, 1 cup Van... | warm water, active dry yeast, milk, unsalted butter, sour cream, egg, sugar, salt, flour, whole wheat flour, dill, Vegetable oil, caviar
****
| 4 | NIv2 | task570_recipe_nlg_ner_generation | fs_opt | [
0.6594399809837341,
0.12639334797859192,
0.040930233895778656,
0.8326990604400635,
0.003574542235583067,
-0.30308985710144043,
1.1117298603057861,
0.9335571527481079,
-0.5697236061096191,
0.10951954126358032,
-0.07502644509077072,
-0.19734758138656616,
-0.5049283504486084,
-0.0163356941193... |
instruction:
You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
question:
Jeśli rolnictwo tego nie doświadczyło, to jak mogło się przystosować?
answer:
Se a agricultura nunca experimentou tal cousa, como habería de estar adaptada?
question:
Pozwólcie, że zabiorę was teraz ... | Esta é a miña filla, chámase Emma e ten 17 meses.
| 9 | NIv2 | task1261_ted_translation_pl_gl | fs_opt | [
-0.9671990871429443,
0.32759904861450195,
-0.08013402670621872,
-0.5855617523193359,
-0.8662827014923096,
-1.3828462362289429,
0.8880882263183594,
0.3189975917339325,
-0.2349063754081726,
-0.06468223035335541,
-0.46756643056869507,
0.14352479577064514,
-0.30765682458877563,
0.2907540202140... |
You are given a target race, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-stereotype is an idea th... | stereotype
| 7 | NIv2 | task320_stereoset_classification_race | fs_opt | [
-0.1385025680065155,
0.03218075633049011,
0.42163580656051636,
-0.09914053231477737,
0.04182226210832596,
-0.4754444360733032,
0.19986644387245178,
1.119598627090454,
-0.035625334829092026,
0.11261435598134995,
-0.5563903450965881,
-0.3459692597389221,
-0.8347158432006836,
-0.2914822101593... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Japanese.
Problem:¿Entonces has llegado a buen término con el proceso que se dio con Ground Zero y la pérdida del diseño original e increíble que concebiste?
Solution: | つまりあなたは、グラウンド・ゼロ計画の過程で、あなたが作り出したオリジナルな、素晴らしいデザインが失われたことにけりをつけたのですか ？ | 8 | NIv2 | task1227_ted_translation_es_ja | zs_opt | [
-0.2901465892791748,
0.3012351095676422,
-0.2730955481529236,
-0.4822205603122711,
-0.356364905834198,
-0.3400072455406189,
0.1981782615184784,
0.5204564332962036,
-0.10176318138837814,
-0.20049086213111877,
-0.07615470141172409,
0.11253983527421951,
0.12854725122451782,
0.3468211889266968... |
Detailed Instructions: 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".
See one example below:
Problem: Review: For ... | no | 4 | NIv2 | task285_imdb_answer_generation | fs_opt | [
0.023598365485668182,
0.26085641980171204,
-0.304875910282135,
0.06648679077625275,
0.3972477912902832,
-0.6252883076667786,
0.9115520715713501,
1.3596932888031006,
0.23696695268154144,
-0.10078418254852295,
-0.3806780278682709,
0.3183099329471588,
-0.3294285833835602,
-0.15499582886695862... |
In this task, you are given a sentence from the research paper and the category to which it belongs. Your task is to classify whether the given category is correct or not by providing "True" and "False", respectively. Here are the definitions for the categories: Background (Why is this problem important? What relevant ... | True
| 1 | NIv2 | task1164_coda19_section_correction_classification | fs_opt | [
-0.5114008188247681,
0.31385940313339233,
-0.4745042026042938,
-0.4386734366416931,
-0.5051194429397583,
0.5566746592521667,
0.7229077816009521,
0.6407548189163208,
0.19955939054489136,
-0.21402251720428467,
-1.073838472366333,
-0.05792570114135742,
-0.10653932392597198,
0.4225176870822906... |
Teacher: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".
Teacher: Now, understand the problem? Solve this instance: Sentence-1: My extended family would need to stay somewhere else if they visited.<sep>Sentence... | No | 6 | NIv2 | task566_circa_classification | zs_opt | [
-0.9098336100578308,
0.3815940320491791,
0.25772175192832947,
-0.3521684408187866,
0.02385258488357067,
-1.0000717639923096,
0.4032098650932312,
0.9574941396713257,
0.1860184669494629,
-0.1616811454296112,
0.13927775621414185,
-0.2292265146970749,
-0.9570803642272949,
-0.784063458442688,
... |
You are given a math word problem and you are supposed to only use multiplication or division operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.
Ex Input:
Context: Matthew had some crackers. If Matthew gave 2 crackers to each of his 11 friend... | 420
| 1 | NIv2 | task752_svamp_multiplication_question_answering | fs_opt | [
0.4585028886795044,
0.8471083641052246,
-0.3723509907722473,
-0.7641319036483765,
-0.7549387812614441,
-0.19778132438659668,
1.1003323793411255,
0.23330962657928467,
0.16862154006958008,
-0.25476300716400146,
-0.6216846704483032,
0.35497456789016724,
-0.04932671785354614,
-0.44786757230758... |
Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third is when an individual has a ... | green_basket | 6 | NIv2 | task152_tomqa_find_location_easy_noise | fs_opt | [
0.1904945969581604,
0.14581488072872162,
-0.5462170839309692,
-0.274566650390625,
-0.33795663714408875,
-0.37688568234443665,
0.4093157649040222,
0.5756622552871704,
0.1203681230545044,
-0.2746826708316803,
-0.09770844876766205,
0.631985068321228,
0.3271256685256958,
0.06254351884126663,
... |
Definition: Rewrite each original sentence in order to make it easier to understand by non-native speakers of English. You can do so by replacing complex words with simpler synonyms (i.e. paraphrasing), deleting unimportant information (i.e. compression), and/or splitting a long complex sentence into several simpler on... | Tube sound (or valve sound) is the distinct sound of a vacuum tube-based audio amplifier. | 2 | NIv2 | task111_asset_sentence_simplification | zs_opt | [
-0.5489593744277954,
0.5510880351066589,
0.2600868344306946,
0.4292251467704773,
0.3602771759033203,
0.288337767124176,
0.8764551877975464,
0.14467045664787292,
0.08125226199626923,
0.2693759799003601,
-0.29992687702178955,
-0.5695517659187317,
-0.4403917193412781,
-0.06539522111415863,
... |
In this task, you are given a multiple-choice question about healthcare. Answer the question based on your information and classify your answers into '1', '2', '3', and '4'.
Input: Consider Input: Question: The reovirus .:
Options: <1> They are released from the cell by budding. <2> They replicate their genetic mat... | Output: 3
| 2 | NIv2 | task1431_head_qa_answer_generation | fs_opt | [
-0.2244250774383545,
0.9202215671539307,
-0.5413970947265625,
0.04092293232679367,
-0.20760564506053925,
0.29534250497817993,
0.5636438131332397,
1.080082654953003,
0.24091041088104248,
-0.20243863761425018,
-0.49095842242240906,
0.20691131055355072,
0.1274586319923401,
0.06177181750535965... |
Definition: 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: The problem's perception is quite thorough.
Output: | 0 | 2 | NIv2 | task1346_glue_cola_grammatical_correctness_classification | zs_opt | [
-0.13620170950889587,
0.47474372386932373,
-0.065102219581604,
-0.12721744179725647,
0.4055851101875305,
-0.9983963966369629,
0.41056761145591736,
0.30013328790664673,
0.44497519731521606,
-0.04856294021010399,
-1.0870990753173828,
-0.6892588138580322,
-0.28592023253440857,
-0.286748379468... |
Teacher:In this task, you need to output 'Yes' if the given number is a prime number otherwise output 'No'. A 'prime number' is a a whole number above 1 that can not be made by multiplying other whole numbers.
Teacher: Now, understand the problem? Solve this instance: 41647
Student: | Yes | 6 | NIv2 | task092_check_prime_classification | zs_opt | [
-0.2993279993534088,
0.520687460899353,
0.29540640115737915,
-0.5348988771438599,
-0.4104331135749817,
-0.2880935072898865,
0.6723142266273499,
0.9091720581054688,
0.03622615337371826,
0.2593971788883209,
-0.6349479556083679,
-0.3757617175579071,
-0.5150794982910156,
-0.6504126787185669,
... |
TASK DEFINITION: In this task, you have to generate the named entities (NER) given its ingredients of the recipe. Named entities are the names of the items without their quantity.
PROBLEM: 1/2 cup Crisco, 1/2 cup butter or 1/2 cup margarine, 1 cup granulated sugar or 1 cup brown sugar, 3/4 cup hot milk, 1 teaspoon vani... | cranberries, sugar, water, cider vinegar, ground cinnamon, ground allspice
| 8 | NIv2 | task570_recipe_nlg_ner_generation | fs_opt | [
-0.21482357382774353,
0.6559487581253052,
0.03327584266662598,
0.35377225279808044,
-0.36563754081726074,
0.1289060413837433,
0.9551448822021484,
0.8265422582626343,
-0.24075248837471008,
-0.26275908946990967,
-0.15509635210037231,
-0.5831683874130249,
-0.8966836929321289,
-0.0851011127233... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your ans... | N | 1 | NIv2 | task190_snli_classification | zs_opt | [
-0.37810802459716797,
0.9804129600524902,
0.022843334823846817,
0.3305666744709015,
0.34756505489349365,
-0.5857879519462585,
0.05175952613353729,
0.8065845370292664,
0.4107460379600525,
0.29771754145622253,
0.07093354314565659,
-0.6024643778800964,
0.17980116605758667,
-0.3533594608306885... |
TASK DEFINITION: In this task, you are given a review of product in Polish language and a question whether this review has positive sentiment. You are expected to generate the answer. The output should be "Yes" or "No". Don't generate anything apart from "Yes", "No".
PROBLEM: Text: Muszę przyznać, że jestem rozczarowan... | No
| 8 | NIv2 | task635_allegro_reviews_answer_generation | fs_opt | [
-0.5869790315628052,
0.026879049837589264,
-0.34494319558143616,
-0.014835980720818043,
0.35555994510650635,
-0.22840175032615662,
0.012619495391845703,
0.8822736740112305,
-0.2533763349056244,
0.4610714614391327,
0.30495119094848633,
0.17264947295188904,
0.09179067611694336,
0.69186878204... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Portugese.
このアイデアはとてもシンプルで
Solution: A ideia é muito, muito simples.
Why? The Japanese sentence is correctly... | E depois, temos de fazer este tipo de estudo num pequeno grupo de doentes. | 0 | NIv2 | task1099_ted_translation_ja_pt | fs_opt | [
-0.5386213064193726,
0.33854568004608154,
0.01539078913629055,
-0.8598293662071228,
-0.30687740445137024,
-0.585557758808136,
0.4129617214202881,
0.3851280212402344,
0.4201662838459015,
-0.42527294158935547,
-0.6021000146865845,
0.13212159276008606,
-0.14653371274471283,
0.4751716852188110... |
In this task, you're given a question, along with a context passage. The passage will not have a direct answer to the question, but can include some information and a clue for the answer. Assuming you can only obtain information about one entity in the passage, your job is to determine whether information from the pass... | b | 8 | NIv2 | task233_iirc_link_exists_classification | fs_opt | [
0.5118095278739929,
0.38764166831970215,
-0.6205670833587646,
-0.23394523561000824,
-0.0038310838863253593,
-0.4260908365249634,
1.35090970993042,
0.6713077425956726,
0.14950639009475708,
0.4979560375213623,
-0.37623533606529236,
0.18516942858695984,
-0.7084095478057861,
0.4144242107868194... |
Definition: 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 ha... | Yes | 2 | NIv2 | task1207_atomic_classification_atlocation | zs_opt | [
0.4267514646053314,
0.36660075187683105,
0.11099456250667572,
-0.08567634224891663,
-0.5737406015396118,
-0.6381789445877075,
1.2161864042282104,
0.24777287244796753,
-0.4120658040046692,
-0.5320276618003845,
-0.6399750113487244,
-0.26294755935668945,
-0.7128347158432007,
0.170973062515258... |
Given the task definition and input, reply with output. You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Polish.
כיום, אם אני שולחת לכם תמונה, אתם יכולים להעביר אותה למי שבא לכם.
| Dziś, jeśli wyślę ci zdjęcie, możesz je przesłać dalej do kogo chcesz. | 5 | NIv2 | task1112_ted_translation_he_pl | zs_opt | [
-1.026352047920227,
1.0713095664978027,
0.17481684684753418,
0.11790540814399719,
-0.26100581884384155,
-0.39732521772384644,
0.7982801198959351,
-0.6623851656913757,
0.9338731169700623,
-0.9138389825820923,
-0.1867765188217163,
0.8902044296264648,
-0.5739655494689941,
0.5286046266555786,
... |
Definition: Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the indiv... | red_crate | 2 | NIv2 | task153_tomqa_find_location_hard_clean | zs_opt | [
-0.14220212399959564,
-0.37284791469573975,
-0.27835613489151,
-0.10177041590213776,
-0.4628968834877014,
-0.16250470280647278,
0.14907598495483398,
1.0690537691116333,
0.22390864789485931,
0.04400864243507385,
-0.3274441361427307,
0.6622833013534546,
-0.13189712166786194,
0.17898532748222... |
Given a text, write a compressed version of it in a single sentence.
Example: Except for this small vocal minority, we have just not gotten a lot of groundswell against this from members, " says APA president Philip G. Zimbardo of Stanford University.
Example solution: "Except for this small vocal minority, we have not... | Solution: We attract top students and our graduates have the highest success rate of any law school graduate on the Indiana Bar Exam. On Feb. and July exams, pass rate is 96. | 5 | NIv2 | task1340_msr_text_compression_compression | fs_opt | [
-0.616524875164032,
0.7626993656158447,
0.6963624954223633,
-0.0471063107252121,
-0.010664379224181175,
-1.3663370609283447,
-0.06405289471149445,
0.7183153629302979,
-0.5582869052886963,
0.6354513168334961,
-0.11465208232402802,
-0.22930008172988892,
-0.5667837858200073,
-0.23451626300811... |
Detailed Instructions: Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: (1) when the individual's belief matches reality, (2) when the individual's belief does not match reality, (3) is when an individual has a false ... | red_treasure_chest | 8 | NIv2 | task151_tomqa_find_location_easy_clean | zs_opt | [
0.05352308601140976,
-0.21001145243644714,
-0.45769473910331726,
-0.29955217242240906,
-0.20629940927028656,
-0.6874635219573975,
0.07847167551517487,
0.759201169013977,
0.19181513786315918,
0.044481851160526276,
0.23690593242645264,
0.30837583541870117,
-0.403115451335907,
0.4502651095390... |
Part 1. Definition
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.
Part 2. Example
این یک خانه ی اسکیمو می شود.
Answer: Così diventa un igloo.
Explanation: The Farsi sentence is correctly translated into Italian, because the meaning is preserved.
Part 3. Exercise
اگر دور ش... | Se fate un giro per Oxford, dove siamo oggi, e osservate le opere murarie, come ho fatto io negli ultimi giorni, noterete che gran parte di essi è costituita da calcare. | 7 | NIv2 | task1271_ted_translation_fa_it | fs_opt | [
-0.19028250873088837,
0.6469085812568665,
-0.3420489430427551,
-0.17926684021949768,
0.0033683329820632935,
-1.0578365325927734,
0.9477706551551819,
0.006904433947056532,
-0.0518452450633049,
-0.37486961483955383,
-0.36202508211135864,
0.892951250076294,
-0.746415376663208,
0.1898129284381... |
Detailed Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into English.
Q: این یکی از پیام های اوست.
A: | Here is one of his messages. | 9 | NIv2 | task1265_ted_translation_fa_en | zs_opt | [
-0.5948814153671265,
0.9096997976303101,
-0.28516367077827454,
-0.408468633890152,
-0.22712621092796326,
-0.7054151296615601,
0.9164325594902039,
0.24021609127521515,
0.29305991530418396,
0.031392596662044525,
0.15621988475322723,
0.3749813735485077,
0.4293174743652344,
0.6219605803489685,... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be shown a passage. You need to write a fill-in-the-gap question based on your understanding of the events that might be inferred from the passage. Your question should be answerable based on the passage and only have on... | Emily Scholes said: 'So much sadness we hear about everyday yet we still take life for granted, RIP _.' | 1 | NIv2 | task301_record_question_generation | zs_opt | [
0.3168654143810272,
0.4921920895576477,
-0.02031286060810089,
-0.5767587423324585,
-0.13769270479679108,
-0.5737229585647583,
0.6418209671974182,
0.6941592693328857,
-0.0012346466537564993,
-0.18279486894607544,
-0.16614454984664917,
0.7918297648429871,
-0.2625964879989624,
0.1565437018871... |
Teacher:Generate a question which can yield the answer mentioned in the input. Generated question must be answered by the answer provided in input, without using any extra knowledge.
Teacher: Now, understand the problem? Solve this instance: Context : Daniel Atkins (November 18, 1866 -- May 11, 1923) was a United State... | What award was received by Daniel Atkins? | 6 | NIv2 | task1326_qa_zre_question_generation_from_answer | zs_opt | [
0.33111464977264404,
-0.6260054111480713,
-0.11463223397731781,
-0.7664344906806946,
0.254501074552536,
-1.8932055234909058,
0.23502999544143677,
-0.2682552933692932,
0.19171881675720215,
0.44212526082992554,
0.7663108110427856,
0.22917185723781586,
-0.8076509237289429,
-0.303678423166275,... |
In this task, you are given music product reviews in English language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Input: Consider Input: Disappointed, I Miss the Old UB's . I miss the old UB40 stuff you ... | Output: NEG
| 2 | NIv2 | task478_cls_english_music_classification | fs_opt | [
-0.15377673506736755,
0.4660489559173584,
-0.7310835719108582,
0.3547446131706238,
0.5050182342529297,
-0.7083715796470642,
0.749933660030365,
0.4983014762401581,
0.31720399856567383,
0.4394320249557495,
-0.5130832195281982,
0.20830756425857544,
0.09423612058162689,
-0.6487540602684021,
... |
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 Farsi.
Pero quero preguntar o que podemos gañar vendo a morte física non só como un proceso biolóxico senón como parte dunha historia humana máis ampla.... | ولی من می خواهم بپرسم از ديدن مرگ جسمی نه تنها به شكل بيولوژيكی بلكه به صورت بخشي از يك داستان بزرگتر انسانی چه می توانيم به دست بياوريم ؟ | 1 | NIv2 | task1245_ted_translation_gl_fa | zs_opt | [
-0.803363561630249,
0.6828513145446777,
-0.12551841139793396,
-0.15114891529083252,
-0.5881631970405579,
-0.7571661472320557,
0.736295223236084,
0.39181089401245117,
0.38475731015205383,
0.7171905636787415,
-0.6698168516159058,
-0.1280852109193802,
-0.4259481430053711,
0.9358727335929871,
... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Galician.
Eu queria ter tudo — escritório, mesa para 10 pessoas, sala para receber visitas, e todo o meu kit de kite surfing.
Output: | Eu queríao todo: oficina, lugar con sitio para 10, habitación de invitados, e todo o meu equipo de surf con cometa. | 1 | NIv2 | task1279_ted_translation_pt_gl | zs_opt | [
-0.10181231051683426,
0.8788797855377197,
-0.9552690982818604,
-0.4778038561344147,
0.09675872325897217,
-0.8830305337905884,
-0.7057304382324219,
0.7070943117141724,
0.1912333369255066,
0.05232597514986992,
0.45274630188941956,
0.5272221565246582,
-0.3020508289337158,
0.1963229775428772,
... |
In this task, you're given a four sentences of story written in natural language. Your job is to complete end part of the story by predicting appropriate last sentence which is coherent with the given sentences.
[Q]: Sentence1: Ben took a nap at home. Sentence2: A sound woke up him at around 2:30. Sentence3: Ben figur... | Don was carried out of the high class party on a stretcher.
| 5 | NIv2 | task105_story_cloze-rocstories_sentence_generation | fs_opt | [
-0.26772791147232056,
1.12630295753479,
0.050588689744472504,
-0.7243456840515137,
-0.21775639057159424,
-0.4942110478878021,
0.6050618886947632,
0.40902620553970337,
-0.24179700016975403,
-0.2863229513168335,
-0.39282822608947754,
0.5233704447746277,
-0.26241183280944824,
-0.2712040245532... |
Detailed Instructions: In this task, you are given a post in Spanish from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, ... | Hateful | 8 | NIv2 | task334_hateeval_classification_hate_es | zs_opt | [
-0.5603424310684204,
0.14619645476341248,
0.30672693252563477,
0.34901177883148193,
0.02869650535285473,
-1.2655802965164185,
0.8108223080635071,
2.2283923625946045,
0.12539905309677124,
0.07473257929086685,
-0.21911102533340454,
0.0755053162574768,
-0.8482062816619873,
-0.7606154680252075... |
Q: In this task, you're given a question, along with a context passage. The passage will not have a direct answer to the question, but can include some information and a clue for the answer. Assuming you can only obtain information about one entity in the passage, your job is to determine whether information from the p... | b | 7 | NIv2 | task233_iirc_link_exists_classification | zs_opt | [
0.3596178889274597,
1.2501524686813354,
-0.2304721176624298,
0.07518290728330612,
0.11391465365886688,
0.3633737564086914,
-0.13136836886405945,
0.6262767314910889,
0.35457950830459595,
0.4998041093349457,
0.19953210651874542,
0.24624088406562805,
-0.5887805223464966,
0.05234159529209137,
... |
You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two or more complete sentences connected without any punctuation). The poem should not be too long or too complex, because it ... | deep within the ocean blue my heart be long for you oh poor dolphin where be you i search for you beneath the burning sun an beneath the vast blue moon oh wo n't you come home to me dear dolphin i know you do n't belong here i know you belong in ocean's blue mystery but wo n't you come back to me so together we can unc... | 9 | NIv2 | task1711_poki_text_generation | fs_opt | [
-0.3072971999645233,
1.4547032117843628,
0.009438863024115562,
-0.8770459890365601,
-0.19969899952411652,
-0.46375152468681335,
0.688787579536438,
0.3040984570980072,
-0.05366697162389755,
-0.40030360221862793,
-0.3834306597709656,
0.1795508712530136,
-0.7789751291275024,
-0.20330210030078... |
Teacher:You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew.
Teacher: Now, understand the problem? Solve this instance: 異論は唱えられていないものの行動に移すことが出来ない考えです
Student: | אלו הרעיונות אשר בהם אין עליהם ויכוח בחברה אבל לא מסוגלים ליישם את אותם דברים | 6 | NIv2 | task1225_ted_translation_ja_he | zs_opt | [
0.3012940287590027,
0.4203805923461914,
0.7121120691299438,
-0.2507277727127075,
-0.2584988474845886,
-0.32142752408981323,
0.5141525268554688,
0.897447407245636,
0.7802615761756897,
-0.3077129125595093,
0.2781505882740021,
-0.5965805053710938,
-1.156623363494873,
-0.27043312788009644,
0... |
In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected sentence.
Let me give you an example: Statement: Next to the MGM Grand you wi... | 1 | 8 | NIv2 | task202_mnli_contradiction_classification | fs_opt | [
-0.060893889516592026,
0.7041586637496948,
0.0033189256209880114,
-0.2750144302845001,
-0.048229046165943146,
-0.7785635590553284,
-0.5951505899429321,
0.40833908319473267,
-0.23814162611961365,
-0.42403173446655273,
-0.17575174570083618,
-0.17408069968223572,
0.47914445400238037,
-0.65675... |
Detailed Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Hebrew.
See one example below:
Problem: شما میتونید این پنگوئن ها رو ببینید اونها حرکت میکنند به اون سیمها نگاه میکنند ولی شبیه اون سیمها نیستند
Solution: אתם רואים שהפינגווין הזה ניגש ומסתכל על החוטים, הוא לא א... | אלה השראות ראשונות לפרוייקט הזה. | 4 | NIv2 | task1269_ted_translation_fa_he | fs_opt | [
-1.2757043838500977,
0.6708057522773743,
0.021083256229758263,
0.4437718987464905,
-0.5910249948501587,
-0.33152738213539124,
0.5527538061141968,
-0.023630835115909576,
0.6448388695716858,
-0.020771583542227745,
-0.6910282969474792,
0.7918204069137573,
-0.5183107852935791,
-0.1411142051219... |
Q: You are given a sentence in Polish. Your job is to translate the Polish sentence into Japanese.
Gdybyśmy mogli zrobić to wszystko, czy myślicie, że zrobilibyśmy?
A: | もし可能だったら我々はどうしますか? | 7 | NIv2 | task1257_ted_translation_pl_ja | zs_opt | [
-0.2594812512397766,
0.7766173481941223,
0.5145514011383057,
0.14854176342487335,
0.0746711865067482,
-1.2278025150299072,
0.8722209930419922,
-0.3866649866104126,
0.8426147699356079,
-0.2561931014060974,
0.21186387538909912,
0.4863884449005127,
-0.7141218185424805,
0.35654860734939575,
... |
Q: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to det... | Yes | 7 | NIv2 | task1200_atomic_classification_xeffect | zs_opt | [
0.4157867431640625,
0.15831422805786133,
0.38675954937934875,
-0.40825536847114563,
-0.36464595794677734,
-1.16916823387146,
1.3679766654968262,
0.21133655309677124,
-0.2930426597595215,
-0.4103967845439911,
-0.32894814014434814,
-0.352682501077652,
-1.06377112865448,
0.49050360918045044,
... |
Definition: 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".
Input: Sentence-1: I've been working there for years.<sep>Sentence-2: I am working with the government .
Output: | Yes | 2 | NIv2 | task566_circa_classification | zs_opt | [
-0.8200486898422241,
0.07885926961898804,
0.32400962710380554,
-0.18918414413928986,
0.48097315430641174,
-0.5625422596931458,
0.2993314862251282,
1.0767701864242554,
0.17429587244987488,
0.16776904463768005,
-0.5172187089920044,
-0.6712599396705627,
-0.5551794767379761,
0.0509421825408935... |
In this task, you're given a question, a context passage, and four options which are terms from the passage. After reading a passage, you will get a brief understanding of the terms. Your job is to determine by searching and reading further information of which term you can answer the question. Indicate your choice as ... | a | 0 | NIv2 | task231_iirc_link_classification | zs_opt | [
0.8292627334594727,
0.9209713935852051,
-0.4789430797100067,
-0.9157274961471558,
0.09856916964054108,
-0.5077428817749023,
0.7168362140655518,
0.5026516914367676,
0.010603655129671097,
0.4637167453765869,
-0.22144895792007446,
0.16201545298099518,
-0.721904993057251,
-0.29376885294914246,... |
You are given a statement written in Kannada. 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 is below.
Q: Statement: ಕೆಂಪು ಸಮುದ್ರವು ಹಿಂದೂ ಮಹಾಸಾಗರದ ಕಡಲಾಚೆಯ <MASK> ಮತ್ತು ಏಷ್ಯಾ ಖಂಡದ ನಡುವೆ ಇರುವ ಸಮುದ... | ಶ್ರೀಲಂಕಾ | 9 | NIv2 | task948_wiki_cloze_kn_multiple_choice_question_answering | fs_opt | [
0.576308012008667,
0.1303650140762329,
-0.4178091287612915,
-0.27898740768432617,
-0.03747204318642616,
-0.5453279614448547,
-0.0216217041015625,
-0.11636663973331451,
-0.31286194920539856,
0.15194764733314514,
-0.06880006194114685,
-0.05841459706425667,
-0.11994365602731705,
-0.2154722213... |
You will be given a definition of a task first, then some input of the task.
In this task, given a sentence in the Central Khmer language, your task is to convert it into the English language.
"បញ្ហាប្រឈមពាក់កណ្តាលគឺបច្ចេកទេស ដែលត្រូវបង្កើតរថយន្តដែលមានប្រសិទ្ធភាពកាន់តែច្រើនឡើង ជាងម្ចាស់កំណត់ត្រាមុនៗ បន្ទាប់មកអ្វីដែលនៅ... | "Half the challenge is technical, having to create a more efficient vehicle than the previous record holder, then the rest is luck, being in the right place, at the right time, to get the perfect conditions, with the right people watching." | 1 | NIv2 | task541_alt_translation_kh_en | zs_opt | [
0.08693301677703857,
0.012052483856678009,
0.4709189534187317,
-0.5843604803085327,
-0.056097470223903656,
-0.10512124001979828,
-0.0492524616420269,
0.40992221236228943,
0.20338091254234314,
-0.08342663943767548,
-0.40863633155822754,
0.028159404173493385,
-0.1042080670595169,
0.479016363... |
In this task, you're given a fill-in-the-blank question that contains two object names. Additionally, you're given one answer which is one of the objects present in the question. In this task, you need to minimally change the given question so that the answer flips to another object in the question. Remember the questi... | Output: I had to read an entire story for class tomorrow. Luckily, the _ was canceled.
| 2 | NIv2 | task034_winogrande_question_modification_object | fs_opt | [
0.7594873905181885,
0.26775041222572327,
-0.1531534343957901,
0.029475118964910507,
0.56675124168396,
-0.8703811764717102,
0.8083024024963379,
1.1682153940200806,
-0.7716690301895142,
-0.2484477460384369,
-0.5333349704742432,
0.09587423503398895,
-0.595888614654541,
0.06982684135437012,
... |
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".
Q: Review: Having seen CUBE, I've been a fan of Vincenzo Natali's ... | yes
****
| 4 | NIv2 | task285_imdb_answer_generation | fs_opt | [
0.06838200241327286,
0.14856170117855072,
-0.5818415880203247,
0.26045870780944824,
0.7832059860229492,
-0.7118360996246338,
0.937700629234314,
0.8727825880050659,
-0.04410994052886963,
-0.03786128759384155,
-0.21887092292308807,
-0.3342787027359009,
-0.12321506440639496,
0.043269474059343... |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
[EX Q]: و جیرجیر چکمههای چرمی، تام و دی زی دوباره سر میز بودند.
[EX A]: and the crunch of leather boots and Tom and Daisy were back at the table.
[EX Q]: جولیا مدتی از هنری کرافرد توجه دیده بود حتی جلبش کرده بود.
[EX A]... | It must be very difficult to keep Anhalt from appearing a formal, solemn lecturer;
| 6 | NIv2 | task660_mizan_fa_en_translation | fs_opt | [
-0.3236175775527954,
0.6107388734817505,
-0.7028015851974487,
-0.15395265817642212,
-0.9239762425422668,
-0.49280959367752075,
0.6131343245506287,
-0.07466080784797668,
-0.20349933207035065,
-0.2549208402633667,
0.08853986859321594,
0.6329992413520813,
-0.05861269682645798,
0.8297040462493... |
In this task, you will be shown a conversation and a question. You need to write an implausible answer to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. "W" and "M" in the conversations stand for "woman" and "man".
[EX Q]: W: You know. I called you several times last ... | More than one year.
| 6 | NIv2 | task283_dream_incorrect_answer_generation | fs_opt | [
0.1392078697681427,
0.22917380928993225,
-0.1785362809896469,
-0.9205095767974854,
0.554701030254364,
-0.744124710559845,
0.4909478724002838,
0.3522931933403015,
0.2700471878051758,
-0.0705416351556778,
-0.17854219675064087,
0.494806170463562,
-0.039321720600128174,
-0.2965715825557709,
... |
In this task, you are given a sentence in the Hindi language and a corresponding English translation of the Hindi sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No". In the translation, English sentence should preserve the number as it is and it should be in se... | No
| 7 | NIv2 | task426_hindienglish_corpora_hi-en_classification | fs_opt | [
-0.42110225558280945,
0.11166977882385254,
0.2885468304157257,
0.14591732621192932,
-0.014465635642409325,
-0.3582087457180023,
-0.11664601415395737,
0.49458712339401245,
-0.7910574078559875,
-0.18545877933502197,
-0.4507679343223572,
0.5330654978752136,
-0.7338886260986328,
-0.05732736364... |
In this task, you are given a review of a product in the Polish language. Your task is to classify the given product review into these three categories: 1) positive, 2)neutral, 3) negative based on its content.
Q: Text: Oczyszczacz testowany już ponad miesiąc w Krakowie - czyli mieście "Smoga" :) Raz na 5-6 dni czyszcz... | neutral | 4 | NIv2 | task634_allegro_reviews_classification | zs_opt | [
0.062384843826293945,
0.34338074922561646,
-0.5034242868423462,
-0.08484731614589691,
0.792606770992279,
-0.5557490587234497,
0.31004559993743896,
0.6968745589256287,
-0.010153253562748432,
0.31774601340293884,
-0.6874862313270569,
0.6940699815750122,
0.05072455853223801,
-0.56332099437713... |
Teacher:Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels (reason) = [NO_... | ['NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'UNKNOWN_TYPE_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_... | 6 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | zs_opt | [
-0.10219637304544449,
0.30160415172576904,
0.3212849795818329,
-0.40927451848983765,
-0.010257149115204811,
-0.32885056734085083,
0.49063950777053833,
0.9855560064315796,
-0.3547223210334778,
0.26527169346809387,
0.13543900847434998,
-0.08190372586250305,
-0.03278084099292755,
-0.428903937... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given an ambiguous question/query (which can be answered in more than one way) and a clarification statement to understand the query more precisely. Your task to classify that if the given clarification accurately clarifi... | No | 1 | NIv2 | task227_clariq_classification | zs_opt | [
-0.44732820987701416,
0.24262085556983948,
0.05911779776215553,
-0.6974006295204163,
-0.5578970313072205,
-0.2564426064491272,
0.6106743216514587,
0.2075907438993454,
0.5017751455307007,
0.1386750489473343,
0.10386399179697037,
-0.5800316333770752,
-0.3171013593673706,
0.3132862448692322,
... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
私は皆さん以上にこれが気に入っていますこれを作るのがどれだけ難しいか知っているからです
Forse piace più a me che a voi, perché so quanto sia dannatamente difficile realizzarla.
散歩に出かける頻度や
Quante volte portate il cane fuori.
すると数値は反対となりました
| Ora c'era l'effetto opposto.
| 0 | NIv2 | task1096_ted_translation_ja_it | fs_opt | [
-0.35580694675445557,
0.10026265680789948,
-0.3359149694442749,
0.9626097679138184,
-0.5601531863212585,
-0.16105324029922485,
0.1468660831451416,
0.6585432291030884,
-0.23589788377285004,
-0.7394334673881531,
-1.1289448738098145,
0.870934009552002,
-0.5867937207221985,
0.5995714068412781,... |
You will be given a definition of a task first, then some input of the task.
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.
Context: Lepidium latipes is a species... | 3 | 1 | NIv2 | task633_dbpedia_14_answer_generation | zs_opt | [
-0.3387352228164673,
0.6171002388000488,
-0.17064765095710754,
0.5710552334785461,
-0.10066159814596176,
-0.26159682869911194,
-0.21985267102718353,
0.7590022683143616,
-0.5094841718673706,
0.1686912178993225,
-0.5899118781089783,
0.05346481502056122,
-0.5158133506774902,
0.101750016212463... |
Instructions: In this task, you will be shown a sentence, and you should determine whether it is overruling or non-overruling. In law, an overruling sentence is a statement that nullifies a previous case decision as a precedent by a constitutionally valid statute or a decision by the same or higher ranking court which ... | overruling | 3 | NIv2 | task274_overruling_legal_classification | zs_opt | [
-0.8898358941078186,
0.8401188850402832,
0.4111858010292053,
0.00396392960101366,
-0.2312333881855011,
-0.9074786901473999,
0.5267783403396606,
0.8848004341125488,
0.2714783251285553,
-0.8803714513778687,
-0.637544572353363,
0.07467052340507507,
-1.2234530448913574,
-0.04948323592543602,
... |
In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to provide one question which clarifies the input question and it has one unique answer, and also provide an answer to the generated question. Generated question and answer should be separated with a new line.
[... | Who is the song about you're so vain according to Carly Simon?
Warren Beatty
| 5 | NIv2 | task671_ambigqa_text_generation | fs_opt | [
-0.6313090920448303,
0.5140494704246521,
-0.09624558687210083,
-0.29847121238708496,
-0.17870794236660004,
-0.10202656686306,
0.7189203500747681,
0.3143463730812073,
0.17193706333637238,
0.4546300172805786,
-0.3141583502292633,
0.5155090689659119,
-0.624927818775177,
-0.12061993777751923,
... |
Two analogies that signify affordances are given in the form "A : B. C : ?". Affordance is the possibility of an action being done on an object, for example book is an affordance of writing. The phrase "A : B" implies that B is an affordance of A. Your task is to replace the question mark (?) with the appropriate affor... | employee | 3 | NIv2 | task1153_bard_analogical_reasoning_affordance | fs_opt | [
-0.3865264058113098,
1.050441026687622,
-0.44805771112442017,
0.7852696180343628,
-0.20307819545269012,
-0.14176791906356812,
1.2110998630523682,
0.4034267067909241,
0.14388541877269745,
-0.15252530574798584,
0.03188497945666313,
0.5731800198554993,
0.03864898532629013,
0.2552769184112549,... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a dialogue from a conversation between an agent and a customer. Your task is to determine the speaker of the dialogue. Answer with "agent" or "customer".
Hello. How may I... | customer | 0 | NIv2 | task575_air_dialogue_classification | fs_opt | [
-0.26355665922164917,
0.5746785998344421,
0.03955746069550514,
-0.7375115752220154,
0.14648336172103882,
0.017936358228325844,
1.0123658180236816,
0.2367362529039383,
0.40487009286880493,
0.19566425681114197,
-0.6215544939041138,
-0.7550991773605347,
-0.36366426944732666,
-0.02990056760609... |
You are given a sentence and a question in the input. If the information provided in the sentence is enough to answer the question, label "Yes", otherwise label "No". Do not use any facts other than those provided in the sentence while labeling "Yes" or "No". There are only two types of valid responses: Yes and No.
Q: ... | No. | 4 | NIv2 | task050_multirc_answerability | zs_opt | [
-0.8763375282287598,
0.6151034832000732,
0.4127196669578552,
0.12958218157291412,
-0.5833754539489746,
-1.0226178169250488,
-0.04971882328391075,
0.6465434432029724,
0.3210454285144806,
-0.33414125442504883,
0.1484980434179306,
0.26078683137893677,
-0.3925974369049072,
-0.02589963003993034... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Polish.
[EX Q]: دامنه روابط دنياى ديجيتال خارق العاده است.
[EX A]: Zakres relacji cyfrowych jest niesamowity.
[EX Q]: اگرچه مادرم نتونست با من خداحافظی کنه قبل از جراحی اگرچه مادرم نتونست با من خداحافظی کنه قبل از جراحی در تمام ماهه... | Roboty nawet rewolucjonizują transport kotów.
| 6 | NIv2 | task1272_ted_translation_fa_pl | fs_opt | [
-0.7941449880599976,
0.6497542858123779,
-0.2488000988960266,
-0.26094409823417664,
-0.8582261800765991,
0.6278584003448486,
0.795913815498352,
0.20180566608905792,
0.593646764755249,
0.14238688349723816,
-0.20262572169303894,
0.9645423293113708,
-0.27183279395103455,
0.5418864488601685,
... |
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).
Example input: Italy have defeated Portugal 31-5 in Pool C of the 2007 Ru... | Pemexはパイプラインからのオイル盗難が毎年何億ドルもの損害の原因となると説明した。 | 3 | NIv2 | task435_alt_en_ja_translation | fs_opt | [
-0.24522826075553894,
0.8521254658699036,
-0.2251252382993698,
-0.07575976848602295,
0.07179199904203415,
-0.48989537358283997,
0.5285065174102783,
0.2574305534362793,
0.2301822453737259,
-0.33547502756118774,
-0.5854703783988953,
0.3603515028953552,
-0.4685279130935669,
0.1318182647228241... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Japanese.
Q: نكته اى كه ما بايد درباره ش نگران باشيم ميزان غريبگى است كه با آن روبه رو هستيم ؟
A: | 私たちが心配しなければならないのはどれ位未知のことと向き合っているか | 4 | NIv2 | task1266_ted_translation_fa_ja | zs_opt | [
-0.5794082880020142,
0.9182803630828857,
-0.21930205821990967,
-0.6526968479156494,
-1.1801173686981201,
-0.6070458889007568,
1.339357852935791,
0.6371031403541565,
-0.2969076633453369,
-0.33628779649734497,
-0.9020942449569702,
0.3393137454986572,
-0.654723584651947,
0.5975958108901978,
... |
Detailed Instructions: The task is to generate text based off of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons intent behind doing the event, i.e. why did the person do that action.
Problem:PersonX teaches PersonY's dog
Solut... | to help persony's dog learn and be safe | 8 | NIv2 | task1596_event2mind_text_generation_2 | zs_opt | [
-0.5891703367233276,
0.4119853377342224,
-0.13010048866271973,
-0.46164363622665405,
-0.48668143153190613,
-0.754388689994812,
0.4058329463005066,
0.28617119789123535,
0.4020701050758362,
-0.37705564498901367,
-0.297840416431427,
-0.1689697951078415,
-0.6003491878509521,
0.4146759212017059... |
In this task, you are given a question in English, and your task is to translate it into Persian.
--------
Question: Which one is the best medical school in Turkey?
Answer: بهترین دانشکده پزشکی در ترکیه کدام یک است؟
Question: What are some best examples of hypocrisy at its best around the world?
Answer: بهترین نمون... | حیوانات غیرمعمول کدامند؟
| 7 | NIv2 | task652_parsinlu_en_fa_translation | fs_opt | [
-0.9202149510383606,
0.47318387031555176,
0.3938828706741333,
-0.20445595681667328,
-0.5876389741897583,
0.17826825380325317,
0.4293321669101715,
-0.3798382580280304,
0.3372192978858948,
0.15741167962551117,
-0.1343754231929779,
0.7281850576400757,
-0.3704395890235901,
0.7949867248535156,
... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Spanish.
Example: خوب ، من چیزی نمیگم ، اما در واقع یک واحد تحقیقات کوچک در در تورین ، ایتالیا به نام پروژه پروفایل هکرها وجود داره.
Example solution: Bueno, yo digo nada, pero en realidad hay una unidad de investigación muy, muy pequ... | Solution: Otras proyectan una energía que casi no pueden contener, como Nueva York o Hong Kong. | 5 | NIv2 | task1267_ted_translation_fa_es | fs_opt | [
-0.21858331561088562,
0.8448868989944458,
-0.4647619128227234,
-0.3285984694957733,
-0.5326084494590759,
-0.462186336517334,
0.35677745938301086,
0.4513362944126129,
-0.07361562550067902,
-0.3375321924686432,
-0.6478939056396484,
0.4198295474052429,
-0.2574959397315979,
-0.1499769985675811... |
Given a question, generate a paraphrase of that question wihout changing the meaning of it. Your answer should reword the given sentence, but not add information to it or remove information from it. The answer to your question should be the same as the answer to the original question.
[EX Q]: Question: when was laurie... | what year did mickey mantle play for the yankees?
| 6 | NIv2 | task442_com_qa_paraphrase_question_generation | fs_opt | [
0.03986449912190437,
0.7242017984390259,
-0.2850576937198639,
0.595975399017334,
-0.3832763433456421,
-1.0188777446746826,
0.7525485754013062,
-0.12559282779693604,
0.20290538668632507,
-0.2650547921657562,
-0.6403727531433105,
-0.09548097848892212,
-0.6916984915733337,
0.27727392315864563... |
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: The eye cream was easier to spread than the powder foundation since the _ was wetter.
Answer1: eye cream.
Sentence 2: The eye cream was easier to spread than the powder foundation since the _ was dryer.
Answer2: powder foundation. | 4 | NIv2 | task029_winogrande_full_object | zs_opt | [
0.5472015142440796,
0.3160845637321472,
0.0698368102312088,
-0.2653178572654724,
0.7484870553016663,
-0.6428661942481995,
0.4095587134361267,
1.0941808223724365,
-0.6330224871635437,
-0.31946611404418945,
-0.4217612147331238,
-0.04825437813997269,
-0.6677994728088379,
-0.11691263318061829,... |
Q: In this task you are given a tweet. You must judge whether the author of the tweet is happy or not. Label the instances as "Happy" or "Not happy" based on your judgment.
deni & i on here be4: known as friendship goals by all our adorable mutuals 💘💗🙆🏻✨!⭐️™\nus now: tweets three times a day about depression
A: | Not happy | 7 | NIv2 | task398_semeval_2018_task1_tweet_joy_detection | zs_opt | [
-0.9269895553588867,
0.6657110452651978,
0.4440024495124817,
-0.44286370277404785,
-0.2173960953950882,
-0.4717732071876526,
0.6112223267555237,
-0.18689942359924316,
0.30886009335517883,
0.0956888198852539,
-0.9460484385490417,
-0.05353260785341263,
-0.29306042194366455,
0.029728483408689... |
Teacher:You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
Teacher: Now, understand the problem? Solve this instance: Niektóre ze skutków niedożywienia w trakcie ciąży były szybko widoczne w zwiększonej liczbie poronień, wad wrodzonych, niedowagi u noworodków oraz umieralnośc... | Some of the effects of malnutrition during pregnancy were immediately apparent in higher rates of stillbirths, birth defects, low birth weights and infant mortality. | 6 | NIv2 | task1256_ted_translation_pl_en | zs_opt | [
-0.3282712399959564,
0.6708320379257202,
-0.031704556196928024,
-0.9978893399238586,
-0.6847012042999268,
-0.02899939939379692,
0.747238278388977,
0.9410589933395386,
-0.034904614090919495,
0.09313124418258667,
0.1435854732990265,
-0.17470063269138336,
-1.3762414455413818,
0.17326116561889... |
Definition: In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.
Input: Efficient local monocyte/macrophage recruitment is critical for tissue repair. Recruited macrophages are polarized toward classical (proinflammatory) or altern... | Estrogen receptor-alpha promotes alternative macrophage activation during cutaneous repair. | 2 | NIv2 | task1586_scifact_title_generation | zs_opt | [
0.5603201389312744,
-0.3713565468788147,
-0.4701491892337799,
0.4743008017539978,
0.7195785045623779,
-0.8912186622619629,
1.0477763414382935,
1.0016272068023682,
0.6619186997413635,
0.2619962692260742,
-0.3505403995513916,
0.6325443983078003,
-0.6484372615814209,
0.2493169903755188,
-0.... |
You are given a statement written in Panjabi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Let me give you an example: Statement: ਅਮੀਯਾਹ ਸਕੌਟ ਅਸਲ ਵਿੱਚ 11 ਜਨਵਰੀ 1988 ਨੂੰ <MASK> ਸ਼ਹਿਰ ਵਿੱਚ ਇੱਕ ਵੱਖਰੇ ਨਾਮ ਨਾਲ... | ਚੰਡੀਗੜ੍ਹ | 8 | NIv2 | task952_wiki_cloze_pa_multiple_choice_question_answering | fs_opt | [
0.26026129722595215,
0.6452158689498901,
-0.029435578733682632,
0.4294061064720154,
-0.3004717528820038,
-1.5605684518814087,
-0.10283176600933075,
0.45339810848236084,
0.5100252628326416,
0.380033016204834,
-0.09098073095083237,
0.5662922859191895,
-0.9813625812530518,
-0.2829182147979736... |
In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.
Input: Consider Input: Sentence1: 'a dark red minivan is stopped at the stop sign by the corner of two quiet streets in town', Sentence2: 'two men are singing in different colored striped costumes'. Is the fr... | Output: No
| 2 | NIv2 | task159_check_frequency_of_words_in_sentence_pair | fs_opt | [
-0.4058317542076111,
0.23385830223560333,
-0.34522348642349243,
0.4987568259239197,
0.08768264204263687,
-0.06944793462753296,
0.41818198561668396,
1.3458197116851807,
-0.1378108561038971,
0.2956663966178894,
-0.857102632522583,
-0.5782971382141113,
0.33789554238319397,
0.11092101782560349... |
In this task, you're given a context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only one of the three answer options is correct. Pick one of the two incorrect answer options as the output.
One example is bel... | A | 9 | NIv2 | task385_socialiqa_incorrect_answer_generation | fs_opt | [
0.31304067373275757,
0.48906227946281433,
-0.06499319523572922,
0.07661712914705276,
-0.002135906834155321,
-0.25282710790634155,
0.3154594898223877,
0.48213687539100647,
-0.1084841638803482,
0.3379725515842438,
-0.17500686645507812,
-0.06120660901069641,
0.5688303112983704,
-0.57201880216... |
Given the task definition and input, reply with output. 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). Person... | No | 5 | NIv2 | task1202_atomic_classification_xneed | zs_opt | [
0.31328070163726807,
0.4584430158138275,
0.3741457462310791,
-0.004691312089562416,
-0.46925437450408936,
-0.6529543399810791,
1.148792028427124,
0.5507912635803223,
-0.4523433446884155,
-0.4529160261154175,
-0.660647988319397,
-0.0898994728922844,
-0.8223165273666382,
0.11631523072719574,... |
The provided file includes inquiries about restaurants in Chinese, and we ask you to translate those to English language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for... | how close am i to " art 's deli " or " carnegie deli " ? | 0 | NIv2 | task260_spl_translation_zh_en | zs_opt | [
-0.5224762558937073,
0.4687909483909607,
0.3086685240268707,
-0.14300552010536194,
-0.09545695781707764,
-0.24283164739608765,
0.23851680755615234,
0.10814584791660309,
-0.16877047717571259,
-0.2656018137931824,
0.5599297285079956,
0.1424398422241211,
0.11548684537410736,
0.688078761100769... |
Instructions: 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 ... | A girl performs an elegant ballet move. | 3 | NIv2 | task187_snli_entailment_to_contradiction_text_modification | zs_opt | [
-0.3391653299331665,
0.8552854061126709,
-0.22326038777828217,
-0.39656782150268555,
0.15871775150299072,
-0.25929373502731323,
-0.19500760734081268,
0.8248963356018066,
0.3446030616760254,
-0.5527011156082153,
-0.5384899377822876,
-0.654640257358551,
-0.6667799353599548,
-0.08207735419273... |
Teacher: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 rega... | Non-obscene | 6 | NIv2 | task326_jigsaw_classification_obscene | zs_opt | [
-0.6650978326797485,
0.011864942498505116,
0.8890419006347656,
0.6051364541053772,
0.143094003200531,
-0.34242695569992065,
-0.42033666372299194,
0.7061781883239746,
-0.10905936360359192,
0.6745294332504272,
-0.1224348396062851,
-0.025117773562669754,
-0.13312309980392456,
-1.2099311351776... |
Definition: You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
Input: Obama apelou á virtude.
Output: | Obama apelaba a la virtud. | 2 | NIv2 | task1240_ted_translation_gl_es | zs_opt | [
-1.064863920211792,
0.5977332592010498,
0.218645840883255,
-0.5577335357666016,
-0.24220405519008636,
-1.0607194900512695,
0.4088616669178009,
0.05829701945185661,
0.3445708155632019,
-0.055052146315574646,
-0.2114003449678421,
0.5091745853424072,
0.004319244064390659,
-0.19036370515823364... |
The input contains a debate topic, an argument on the topic and a keypoint, separated by "<sep>". Your task is to answer if the keypoint matches the argument and summarizes exactly what the argument means, in the context of the given topic.
One example: Argument: It is more humane to help the person die than to let the... | False | 6 | NIv2 | task1285_kpa_keypoint_matching | fs_opt | [
-0.03437003493309021,
0.35777026414871216,
0.2396153211593628,
0.05198156461119652,
-0.21227461099624634,
-0.8459933996200562,
0.7636961936950684,
0.22690075635910034,
0.4041000008583069,
0.25975117087364197,
0.21075600385665894,
-0.1024399846792221,
-0.06691771000623703,
0.393635302782058... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Farsi.
Penso que o TaskRabbit e outros exemplos de consumo colaborativo são absolutamente brilhantes.
Output: | من فکر می کنم TaskRabbit و دیگر مثال های مصرف اشتراکی بسیار ساده و بسیار بزرگ هستند. آن ها واقعا عالی هستند. | 1 | NIv2 | task1282_ted_translation_pt_fa | zs_opt | [
-0.4517199397087097,
0.5330830812454224,
-0.12366993725299835,
0.04499174654483795,
-0.4185968339443207,
0.5360895991325378,
0.4325518012046814,
0.3808164596557617,
0.419965922832489,
0.14885124564170837,
-0.8697913885116577,
-0.37984371185302734,
-0.2445361614227295,
0.12294605374336243,
... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | Output: No
| 2 | NIv2 | task1206_atomic_classification_isbefore | fs_opt | [
0.8024746179580688,
0.17223049700260162,
0.1345871388912201,
-0.13428878784179688,
-0.4565853476524353,
-0.5665995478630066,
0.5717235803604126,
0.7149496078491211,
-0.5918303728103638,
-0.5450782179832458,
-0.4358542561531067,
-0.6165559887886047,
-0.43447697162628174,
-0.1515192836523056... |
Compose a new way to ask the same question. The new question must be asking the exact same thing as the original question does. Without any other information, you should be able to tell that the original question and the new question are the same. Preserve bracketed phrases in your new question. You can change the rest... | In [Roe v. Wade], how many legal subjects are there?
| 5 | NIv2 | task402_grailqa_paraphrase_generation | fs_opt | [
1.006986141204834,
0.28827112913131714,
-0.3861069679260254,
0.6059609651565552,
0.2757282853126526,
-0.3126318156719208,
0.76503586769104,
1.0594699382781982,
-0.6033929586410522,
0.03208271041512489,
-0.6244468092918396,
0.41292932629585266,
-0.4493197500705719,
0.6220369338989258,
-0.... |
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.
One example: What can one do after MBBS?
Solution is here: What do i do after my MBBS ?
Explanation: In this example both the question ask the same thing about... | Why do a lot of people hate Minecraft? | 6 | NIv2 | task1345_glue_qqp_question_paraprashing | fs_opt | [
-0.02486938238143921,
0.6259050369262695,
-0.5070081949234009,
-0.008575678803026676,
-0.8565506935119629,
-0.7044442296028137,
0.7891679406166077,
0.23895251750946045,
0.01598469167947769,
0.19121655821800232,
-0.23927561938762665,
0.20269528031349182,
-0.8234829902648926,
0.0941007211804... |
Detailed Instructions: In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to provide one question which clarifies the input question and it has one unique answer, and also provide an answer to the generated question. Generated question and answer should be separa... | What team won the super bowl on February 6, 2011?
Green Bay Packers | 9 | NIv2 | task671_ambigqa_text_generation | zs_opt | [
0.25967031717300415,
0.6909098625183105,
0.2834446430206299,
-0.41016101837158203,
0.06501859426498413,
0.014815147966146469,
0.6251363754272461,
0.2848500609397888,
0.15062665939331055,
-0.5126959085464478,
-0.6243153810501099,
0.17154251039028168,
-0.3304014801979065,
0.16566810011863708... |
In this task, five ordered key facts are given. All the given facts are expressed in natural language. Your job is to generate a story 100 to 1000 words long, that includes all the facts given as input in their order of appearance while expanding upon them to produce a broader, yet coherent, narrative.
One example: Fac... | Mitali, a successful model, meets Karan, the Mittal scion, the heir to one of the richest families in the country. Mitali ‘s simple, middleclass upbringing is in complete contrast to Karan’s superbrat lifestyle. But Karan was smitten by Mitali. Accustomed to getting what he wants in life, Karan landed up at Mitali’s ho... | 6 | NIv2 | task103_facts2story_long_text_generation | fs_opt | [
0.42854517698287964,
0.034452106803655624,
-0.3066713809967041,
0.5840132832527161,
0.10926023125648499,
-0.8498894572257996,
0.09371789544820786,
1.4197899103164673,
-0.5580325126647949,
0.2353120744228363,
-0.41205716133117676,
-0.14083260297775269,
-0.36506539583206177,
1.02562928199768... |
You will be given a definition of a task first, then some input of the task.
In this task you are given a tweet. You must judge whether the author of the tweet is angry or not. Label the instances as "Angry" or "Not angry" based on your judgment.
You won't reach a #goal you hide in a drawer. Keep it in front of your f... | Not angry | 1 | NIv2 | task397_semeval_2018_task1_tweet_anger_detection | zs_opt | [
-1.5455933809280396,
0.07850068807601929,
0.9763119220733643,
0.08783425390720367,
-0.3329418897628784,
-1.099966287612915,
-0.11042609810829163,
0.3309064507484436,
0.27121561765670776,
0.1384546160697937,
-0.35700005292892456,
-0.5780013799667358,
-0.3671158254146576,
-0.1592776924371719... |
Detailed Instructions: In this task, you are given a pair of action statements. Your task is to check if you can conclusively identify which statement is less ethical or not. Answer: 'no' if one of the statements is less ethical, and 'yes' otherwise.
Q: ACTION1: telling my mom to stop bringing her friend over to have s... | yes | 9 | NIv2 | task508_scruples_dilemmas_more_ethical_isidentifiable | zs_opt | [
0.09474155306816101,
-0.4268867075443268,
0.27395015954971313,
0.4073466658592224,
-0.5524591207504272,
-1.0390280485153198,
-0.35919028520584106,
0.8509846925735474,
0.1539120376110077,
0.6926500797271729,
-0.05923611670732498,
-0.8627179861068726,
-0.6772194504737854,
-0.886543869972229,... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.
See one example below:
Problem: Ora, lungo il percorso, George segnala che la sua tecnologia, la tecnologia della biologia sintetica, sta accelerando molto più velocemente del tasso previsto dalla L... | E se houvesse, não só uma Internet da informação, mas também uma Internet do valor — uma espécie de registo contabilístico vasto, global e distribuído, a correr em milhões de computadores e disponível para todos? | 4 | NIv2 | task1255_ted_translation_it_pt | fs_opt | [
-0.22482389211654663,
0.6770510673522949,
0.42776578664779663,
0.03483493626117706,
-0.008778955787420273,
-0.36226850748062134,
-0.7755627036094666,
1.5365674495697021,
-0.09648226201534271,
0.4856659770011902,
-0.5440518260002136,
0.3188398480415344,
-0.24380028247833252,
-0.245760858058... |
In this task, you are presented with a term, a question, and a yes/no answer. For context, the term is associated with a short description. Write the simple facts one needs to know in order to answer the given question. The facts should be easily found on the web (e.g. mentioned in a Wikipedia page)
--------
Question: ... | Fact1: During practice for a role, Christopher Reeve was thrown from a horse. Fact2: Christopher Reeve's incident with the horse resulted in lifelong paralysis and a separation of his head from his spinal column.
| 7 | NIv2 | task169_strategyqa_sentence_generation | fs_opt | [
0.5061135292053223,
-0.04366346448659897,
-0.4527744650840759,
0.15723486244678497,
-0.5454356670379639,
-0.7566226124763489,
-0.4055171012878418,
0.6962367296218872,
-0.08593077212572098,
-0.03370717540383339,
0.0006826694589108229,
0.0019052302232012153,
-0.6919317841529846,
0.1089391484... |
Given the task definition and input, reply with output. Given a real-life anecdote of a complex ethical situation, identify who is wrong here. Classify each post into the following categories : AUTHOR (if the author of the post is wrong in the situation), OTHER (if any of the others mentioned in the paragraph is wrong)... | OTHER | 5 | NIv2 | task498_scruples_anecdotes_whoiswrong_classification | zs_opt | [
0.08680728077888489,
0.6335892677307129,
0.09366151690483093,
0.01475067250430584,
0.31115710735321045,
-0.1079956442117691,
0.23991680145263672,
0.8302220106124878,
0.4179307222366333,
0.1360882967710495,
-0.3458010256290436,
0.9151313900947571,
-0.6480013132095337,
-0.6003224849700928,
... |
Given a post that is a real-life anecdote of a complex ethical situation and an associated claim about its type, verify if the claim is true or not. The claim asks if the posts are historical or hypothetical. The posts are "HISTORICAL" when the author has already done something and they are "HYPOTHETICAL" when the auth... | no
| 3 | NIv2 | task501_scruples_anecdotes_post_type_verification | fs_opt | [
0.6855630278587341,
0.1721249520778656,
-0.7196779251098633,
0.3623645305633545,
0.36648616194725037,
-0.875424861907959,
0.904457688331604,
1.234161615371704,
-0.3452126681804657,
0.0393148809671402,
0.067051962018013,
0.7468737363815308,
-0.03731774911284447,
0.12688924372196198,
0.366... |
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 they appear in th... | how much does it cost to fly directly from philadelphia to san francisco on american airlines | 9 | NIv2 | task184_break_generate_question | fs_opt | [
0.9027916789054871,
-0.023132063448429108,
-0.6681808233261108,
0.2890375554561615,
0.5217544436454773,
-0.27446168661117554,
1.0385329723358154,
0.3116529881954193,
-0.6728839874267578,
0.6177088618278503,
-0.24535100162029266,
0.4670512080192566,
0.053724274039268494,
0.33221790194511414... |
You are given a question. You need to detect which category better describes the question. A question belongs to the description category if it asks about description and abstract concepts. Entity questions are about entities such as animals, colors, sports, etc. Abbreviation questions ask about abbreviations and expre... | Quantity
| 0 | NIv2 | task1289_trec_classification | fs_opt | [
-0.28175920248031616,
0.16884085536003113,
0.30964773893356323,
-0.1400536745786667,
-0.3252400755882263,
-0.6802059412002563,
0.49340203404426575,
0.20018509030342102,
0.0986614003777504,
-0.2943301796913147,
-0.4770198166370392,
-0.13470599055290222,
-0.8136817216873169,
-0.1102346330881... |
Definition: In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
Input: 1, 7, ['4817', 'S'... | 4817, S, 4699, V, C, 7053, 9405 | 2 | NIv2 | task091_all_elements_from_index_i_to_j | zs_opt | [
-0.18718138337135315,
0.39999184012413025,
-0.7695778012275696,
-0.14199227094650269,
0.06380003690719604,
-0.38177618384361267,
0.5157536864280701,
-0.22807534039020538,
-0.01813979260623455,
-0.02390832081437111,
-0.7989163398742676,
-0.01639505848288536,
0.5351765155792236,
-0.086842104... |
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