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 |
|---|---|---|---|---|---|---|
Generate an overlapping word between the given two sentences. When you find the overlapping words, they don't have to match exactly, e.g., "survival" and "survive" are valid overlapping words. Little words like "the" or "of" don't count! You must generate significant words which are not the stop words.
Q: Sentence1: B... | protein
****
| 4 | NIv2 | task039_qasc_find_overlapping_words | fs_opt | [
0.1257622092962265,
1.0868581533432007,
0.00214569503441453,
-0.746752142906189,
-0.10989794880151749,
-0.9674161672592163,
0.5846826434135437,
0.9064419269561768,
0.06878945976495743,
-0.5748518705368042,
-0.747773289680481,
-0.46978113055229187,
-0.8462703227996826,
-0.025246072560548782... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
[EX Q]: どんな学年においても学生は受け身な座学では物足りないのです
[EX A]: Molti studenti, sia alle medie che all'università, non vogliono solamente stare seduti li e ascoltare qualcuno che parla.
[EX Q]: 今日米国医学研究所によって "" Every cell has a sex "" つま... | Ogni volta, eravano sull'orlo del collasso completo.
| 6 | NIv2 | task1096_ted_translation_ja_it | fs_opt | [
0.04463819041848183,
0.023885030299425125,
-0.3020787835121155,
-1.0005483627319336,
-0.46981048583984375,
-0.3319852352142334,
-0.32467401027679443,
0.6265648603439331,
-0.17067715525627136,
-0.773323655128479,
0.2571512460708618,
-0.10917485505342484,
-0.2226036787033081,
0.0607015267014... |
Detailed Instructions: Given a sentence in Arabic, generate a new Arabic 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 reasonabl... | من المحتمل أن تجد محطة جوية في المطار. | 8 | NIv2 | task414_mickey_ar_sentence_perturbation_generation | zs_opt | [
-0.2624809741973877,
0.662903368473053,
-0.37661314010620117,
-0.7723809480667114,
-0.4901501536369324,
0.30406808853149414,
1.019694209098816,
0.7288298010826111,
0.165861576795578,
-0.4375450909137726,
-0.9586382508277893,
0.2145025134086609,
-0.40219634771347046,
-0.07311712950468063,
... |
TASK DEFINITION: In this task, you're given a passage, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
PROBLEM: Passage: Jackson comp... | Answer: The ZSC Lions
| 8 | NIv2 | task238_iirc_answer_from_passage_answer_generation | fs_opt | [
0.9547194838523865,
0.3438388705253601,
-0.5688267946243286,
-0.0959053561091423,
0.4206653833389282,
0.38248080015182495,
0.7897554039955139,
0.9140415787696838,
0.07618819177150726,
0.10211902111768723,
-0.5391207337379456,
0.8210967779159546,
-0.8340322375297546,
-0.11345450580120087,
... |
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 ... | today be the day that we remember all of the soldier that go together to fight for our country to be free but in the end many be unhappy because of the shoot many have die but by a miracle some stay alive in november a poppy be what we wear to remember those in the battle air we win the fight and now you see how happy ... | 6 | NIv2 | task1711_poki_text_generation | fs_opt | [
-0.21191096305847168,
1.9038091897964478,
0.055789537727832794,
-0.5182285308837891,
-0.4380333423614502,
-0.9399785399436951,
1.0504562854766846,
0.6999367475509644,
0.049924109131097794,
-0.5180469751358032,
-0.3675786256790161,
0.35327762365341187,
-0.7613587379455566,
-0.04146967828273... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Arabic.
شگفت انگیزه. | مذهل | 0 | NIv2 | task1268_ted_translation_fa_ar | zs_opt | [
-0.46843618154525757,
0.8346073627471924,
0.018175657838582993,
-0.8557572364807129,
-0.8427793979644775,
0.2401888370513916,
1.2604557275772095,
-0.428203284740448,
0.9764961004257202,
0.2076265662908554,
-1.3132047653198242,
-0.10160338878631592,
-0.39915770292282104,
0.37705162167549133... |
In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
One example: Context: Our prayers are ... | who is undone by the heat at yeezy? | 6 | NIv2 | task240_tweetqa_question_generation | fs_opt | [
-0.42088162899017334,
0.8555815815925598,
0.2405603528022766,
-0.31031864881515503,
0.1731153279542923,
-0.4316568374633789,
0.19369623064994812,
0.49677732586860657,
0.19266021251678467,
-0.13162927329540253,
-0.45820513367652893,
0.029941130429506302,
-0.24279937148094177,
-0.21173217892... |
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".
Example input: Abstract: This study was designed to determine the influence of a long-term, moderate-intensity treadmill training program... | yes | 3 | NIv2 | task1587_scifact_classification | fs_opt | [
0.3839912414550781,
0.21953965723514557,
-0.6118005514144897,
0.3515002131462097,
1.0851837396621704,
0.0016141289379447699,
0.5896754264831543,
0.7761780023574829,
-0.1734473705291748,
-0.1073855459690094,
-0.6109187602996826,
0.3102662265300751,
-0.4719526171684265,
0.14307960867881775,
... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Japanese.
Ex Input:
چقدر می توانیم این را تغییر دهیم ؟
Ex Output:
「どれくらい変えられるのか ？ 」ということです
Ex Input:
تنها با استفاده از ارتباطات ساده گروه های مورچه ها ، شاهکارهای شگفت انگیزی را برای بیش از ۱۳۰ میلیون سال انجام داده اند.
... | “否認 ” と言うのです
| 1 | NIv2 | task1266_ted_translation_fa_ja | fs_opt | [
-0.8744289875030518,
0.42744681239128113,
0.07217012345790863,
0.5005258917808533,
-0.6161039471626282,
-0.7825060486793518,
-0.18211470544338226,
0.04777262732386589,
0.30838239192962646,
-0.5496517419815063,
-0.8177434206008911,
0.5730665922164917,
-0.32529276609420776,
0.210099160671234... |
TASK DEFINITION: You are given a sentence in English. Your job is to translate the English sentence into Galician.
PROBLEM: But if you look in nature, you see that different kinds of animals can have really different lifespans.
SOLUTION: Pero se miramos a natureza podemos ver que distintos tipos de animais teñen esper... | Cada semana, uns 200.000 rapaces recibes as nosas mensaxes sobre campañas ecolóxicas no colexio ou sobre voluntariado cos sinteito e esas cousas.
| 8 | NIv2 | task1090_ted_translation_en_gl | fs_opt | [
-0.8806259632110596,
0.6519728899002075,
-0.05227154493331909,
-0.6410669088363647,
-1.2568931579589844,
-0.7813117504119873,
0.3952375650405884,
0.41666698455810547,
-0.2704768180847168,
0.07154117524623871,
-0.009084528312087059,
0.47195929288864136,
-0.9898143410682678,
0.38755938410758... |
Q: In this task, you're given a context passage, an answer, and a question. Your task is to classify whether the question for this answer is correct or not, based on the given context with commonsense reasoning about social situations. If its correct ,return "True" else "False".
Context: Addison paid cash for her first... | True | 7 | NIv2 | task384_socialiqa_question_classification | zs_opt | [
-0.3801296651363373,
0.23344281315803528,
0.690315842628479,
0.21354150772094727,
-0.4363361597061157,
-0.41401970386505127,
0.5469245910644531,
0.8104628324508667,
0.42043015360832214,
0.01827421970665455,
-0.29630598425865173,
-0.22311122715473175,
-0.15240263938903809,
-0.40835636854171... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by two, if the element is odd you should multiply by three then add one. The... | [274, 70, 364, 68, 442] | 0 | NIv2 | task206_collatz_conjecture | fs_opt | [
-0.2540827989578247,
0.7803887128829956,
-0.3980756402015686,
-0.5775469541549683,
-0.04914506524801254,
-0.12740099430084229,
1.0557658672332764,
0.324261873960495,
0.12663184106349945,
0.2372206151485443,
-0.49069562554359436,
-0.43935471773147583,
-0.48438915610313416,
0.043875537812709... |
Definition: 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. Avoid using p... | Kids are playing badminton in the playground. | 2 | NIv2 | task185_snli_contradiction_to_neutral_text_modification | zs_opt | [
-0.37410974502563477,
0.6533797979354858,
-0.2165534496307373,
-0.5509775876998901,
0.18096359074115753,
-0.09757624566555023,
0.24926498532295227,
0.3478061258792877,
0.8909422159194946,
-0.9001425504684448,
-1.0127537250518799,
0.10832040011882782,
-0.6563509702682495,
0.478075236082077,... |
Detailed Instructions: In this task, you will be presented with a premise sentence and a hypothesis sentence in Persian. Determine whether the hypothesis sentence entails, contradicts, or is neutral with respect to the given premise sentence. Classify your answers into "Contradiction", "Neutral", or "Entailment".
See o... | Neutral | 4 | NIv2 | task463_parsinlu_entailment_classification | fs_opt | [
-0.6073645353317261,
0.20546245574951172,
-0.06325780600309372,
0.13842865824699402,
-0.13755390048027039,
-0.2869497239589691,
0.9520372152328491,
0.47543761134147644,
0.5167678594589233,
-0.2935149073600769,
-0.8766234517097473,
0.44839274883270264,
0.21756957471370697,
0.290077030658721... |
Detailed Instructions: You will be given a piece of text either about an everyday event, or a general statement. If the event seems a plausible event to you, or the general statement makes sense matches your commonsense, output 'True', otherwise output 'False'.
Problem:The living room TV measures 72", while the bedroom... | False | 8 | NIv2 | task116_com2sense_commonsense_reasoning | zs_opt | [
-0.2842153310775757,
0.05442170053720474,
-0.49564921855926514,
0.3029678463935852,
0.016129840165376663,
-0.8166045546531677,
0.29867082834243774,
0.3861846923828125,
-0.2194865345954895,
-0.01620585471391678,
-0.23164807260036469,
0.3736770451068878,
-0.492138534784317,
0.274831563234329... |
Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Arabic.
Input: دوم ، من نتونستم تشخیص دهم که چقدر سریع درک منفی مردم از ما میتواند واقعیت های ما را تحت تاثیر قرار دهد ، اگر ما اجازه بدیم.
Output: | ثانياً: فشلت في تصديق كيف أن التصور السلبي للأشخاص الآخرين بسرعة يمكن أن يؤثر على واقعنا ، إذا سمحنا بذلك. | 3 | NIv2 | task1268_ted_translation_fa_ar | zs_opt | [
-0.7331491708755493,
0.48168760538101196,
0.3043895959854126,
-0.3476739227771759,
-0.5044147968292236,
-0.21531333029270172,
0.4474102556705475,
0.4994613826274872,
0.9158762097358704,
0.16434428095817566,
-1.3720545768737793,
-0.02620292454957962,
-0.571922779083252,
-0.2291736900806427,... |
Detailed Instructions: In this task, you're given a context passage, an answer, and a question. Your task is to classify whether the question for this answer is correct or not, based on the given context with commonsense reasoning about social situations. If its correct ,return "True" else "False".
Problem:Context: Add... | False | 8 | NIv2 | task384_socialiqa_question_classification | zs_opt | [
0.11837328225374222,
0.0036786082200706005,
0.06996438652276993,
-0.2873624563217163,
-0.060818158090114594,
-0.5266838073730469,
1.0311201810836792,
0.046369049698114395,
0.41255080699920654,
-0.3160088062286377,
-0.4194842576980591,
-0.03094959259033203,
-0.3015517592430115,
0.0736926123... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classi... | non-political | 1 | NIv2 | task1491_bengali_political_hate_speech_binary_classification | zs_opt | [
-0.5965114831924438,
-0.22540046274662018,
0.398501455783844,
0.6441603899002075,
-0.23768895864486694,
-0.3707200884819031,
0.36581242084503174,
0.623677134513855,
-0.17558327317237854,
0.19649523496627808,
-0.4340730905532837,
-0.24674929678440094,
-0.09652900695800781,
-0.30969989299774... |
Given the task definition and input, reply with output. 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: B... | False | 5 | NIv2 | task1164_coda19_section_correction_classification | zs_opt | [
-0.14509060978889465,
0.14284667372703552,
-0.36157888174057007,
0.03284204378724098,
0.0395602285861969,
0.3453529477119446,
0.32374250888824463,
0.7251671552658081,
0.019291803240776062,
-0.23126381635665894,
-1.4057258367538452,
0.010015635751187801,
0.02986697480082512,
0.0337755493819... |
instruction:
You are given two sentences(Sentence1 and Sentence2). Answer "Yes" if these sentences are a paraphrase of one another, otherwise answer "No".
question:
Sentence1: Cabrera was called up to help in left field because Todd Hollandsworth has not been productive ., Sentence2: Cabrera was called up Friday from D... | Yes
| 9 | NIv2 | task1288_glue_mrpc_paraphrasing | fs_opt | [
-0.11666934937238693,
0.4305623173713684,
0.10239550471305847,
-0.3470834493637085,
-0.3299316167831421,
-0.896747887134552,
0.7376337051391602,
0.4081285893917084,
0.07084774971008301,
-0.13516950607299805,
-0.6337435245513916,
-0.2474493533372879,
-0.34707075357437134,
0.1118429005146026... |
Q: This task is about translating a given French language sentence to English.
C'est un peu tôt, mais il devrait s'en sortir.
A: | It's a bit early but he should do alright. | 7 | NIv2 | task1690_qed_amara_translation | zs_opt | [
0.10034511238336563,
1.5271799564361572,
0.6627992391586304,
-0.7898381352424622,
0.08049042522907257,
-0.4204353392124176,
0.11395630240440369,
-0.06876938045024872,
0.21626488864421844,
0.013537788763642311,
0.08601255714893341,
0.24073199927806854,
-0.5254297256469727,
0.069921046495437... |
Teacher:In this task, you are given music product reviews in Japanese language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Teacher: Now, understand the problem? Solve this instance: うーん･･･。 . 友人から借りて聴きました... | NEG | 6 | NIv2 | task487_cls_japanese_music_classification | zs_opt | [
-0.07766246050596237,
-0.6569392085075378,
0.16019120812416077,
0.14282557368278503,
0.8233312368392944,
-0.24991661310195923,
0.6579300165176392,
0.2742065191268921,
0.008891168981790543,
0.5220564603805542,
-0.6495391726493835,
-0.6697998046875,
0.4988974332809448,
-0.3082674741744995,
... |
Given a sentence in the Lao, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Example Input: "ມືປືນໄດ້ຍິງຜູ້ຊາຍທີ່ຕ້ອງສົງໄສໃນຂະນະທີ່ແມ່ຍິງຖືກຈັບກຸມ" ທ່ານ ບອບ ແຮນເຊວ ຫົວໜ້າຮັກສາຄວາມສະຫງົບເຂດ ອອສຊີໂອລາໄດ້ກ່າວ.
Example Output: 「狙撃者... | 現場の抗議者らの大群は、お返しに、西側壁へのユダヤ教徒のアクセスを阻んだ。
| 3 | NIv2 | task1125_alt_lo_ja_translation | fs_opt | [
-0.2718071937561035,
-0.2892993986606598,
-1.0169379711151123,
0.08997668325901031,
0.5158806443214417,
-0.8381842374801636,
0.47000980377197266,
0.9138092398643494,
-0.007478413172066212,
-0.4247342646121979,
-0.8738152384757996,
0.9471449255943298,
-0.9362994432449341,
0.2605572938919067... |
In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned. Zero should be counted as an even number.
One example ... | [95, 193, 47, 153, 71] | 9 | NIv2 | task205_remove_even_elements | fs_opt | [
-0.45718327164649963,
0.24629773199558258,
-0.39889195561408997,
-0.7289743423461914,
0.26310527324676514,
-0.22254915535449982,
0.9965090751647949,
0.07102105021476746,
-0.7413363456726074,
0.2870432436466217,
-0.6985360383987427,
0.2642105221748352,
-0.14042063057422638,
-0.7173780202865... |
Given scientific fact as input, generate the question from this fact such that it can be answered from the input.
Example Input: A wall of rocks or concrete a called a groin.
Example Output: What is a wall of rocks or concrete called?
Example Input: Pyramid ecosystem is used to show energy flow through the trophic le... | How does air pressure change as altitude increases?
| 3 | NIv2 | task1552_scitail_question_generation | fs_opt | [
0.15477323532104492,
1.1623080968856812,
-0.4403226375579834,
-0.5533243417739868,
-0.7245800495147705,
-1.326862096786499,
-0.11109685897827148,
0.4087524116039276,
-0.4619053602218628,
-0.4229702055454254,
-0.29540571570396423,
0.6212995052337646,
-1.0432591438293457,
-0.098480224609375,... |
You are given a sentence in English. Your job is to translate the English sentence into Persian.
And how should we communicate this new research to a large audience?
و چطور ما باید این تحقیق جدید را به مخاطبان منتقل کنیم ؟
This answer took seven minutes, and really gave me an insight into the incredible act of genero... | اونها همه کسانی هستند که مهارتهای هک کردن را از سنین کودکی تا اواسط نوجوانی آموخته اند. تمام اونها
| 0 | NIv2 | task1093_ted_translation_en_fa | fs_opt | [
-0.7156611084938049,
0.8251656889915466,
0.007406405173242092,
-0.05901563912630081,
-0.6544569730758667,
-0.15174458920955658,
0.7393842935562134,
0.2584189176559448,
0.7249561548233032,
-0.4039240777492523,
-0.10623710602521896,
0.2750471532344818,
-0.6286125183105469,
0.0688306987285614... |
Given the task definition and input, reply with output. You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
Tamén temos este outro home que sofre os mesmos síntomas e emprega un andador pero cando senta nunha bicicleta esfúmanse tódolos síntomas porque é un movemento cont... | There's this other man who also suffers from the same symptoms and uses a walker, but the moment he's put on a cycle, all his symptoms vanish, because it is a continuous motion. | 5 | NIv2 | task1238_ted_translation_gl_en | zs_opt | [
-0.7665448188781738,
0.5182108283042908,
-0.5475603342056274,
0.16033406555652618,
-0.13804572820663452,
-0.33634161949157715,
0.3960912823677063,
0.535174548625946,
0.4981129765510559,
-0.22521746158599854,
-0.5220721960067749,
1.1066837310791016,
-0.10920124500989914,
0.5688796043395996,... |
Detailed Instructions: In this task, you are given product reviews about dvds. The goal is to classify the review as "POS" if the overall sentiment of the review is positive(the reviewer is satisfied) or as "NEG" if the overall sentiment of the review is negative(the reviewer is not satisfied).
Q: Liked the better the ... | POS | 9 | NIv2 | task477_cls_english_dvd_classification | zs_opt | [
-0.25976306200027466,
-0.4620193839073181,
-0.13576221466064453,
0.04979943484067917,
0.17792607843875885,
-0.5844796895980835,
1.2064886093139648,
0.15801061689853668,
0.34139588475227356,
0.684662401676178,
-0.39850932359695435,
-0.7892153263092041,
0.22890982031822205,
-0.13961382210254... |
Teacher:In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it, i.e., the proper nouns in the passage. Your job is to determine whether information from more than one term is needed to answer the question. Indicate your choice as `a` fo... | b | 6 | NIv2 | task232_iirc_link_number_classification | zs_opt | [
-0.10329115390777588,
0.20110240578651428,
-0.23513425886631012,
-0.3073298931121826,
0.43868109583854675,
0.08712175488471985,
-0.0492967925965786,
0.5028167366981506,
0.1624893993139267,
0.3747008144855499,
0.19461588561534882,
0.7935972213745117,
-0.6751813888549805,
-0.3139789700508117... |
Part 1. Definition
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.
Part 2. Example
सुरुवातीला पोषण दिसून येणार नाही, मात्र हळू-हळू गती येईल
Answer: Initially Nutrition will not be seen, but slowly slow... | Other projects proposed to be undertaken as India-Myanmar cooperation projects are those of setting up of "Bagan Haat" as a hub of Myanmar craft, food and cultural activities, LED-based street lighting, rain water harvesting for sustainable water management, training for alternative income generation for the people of ... | 7 | NIv2 | task1086_pib_translation_marathi_english | fs_opt | [
-0.5294236540794373,
0.2410791516304016,
0.1572721302509308,
-0.6465948224067688,
-0.4943731427192688,
0.04245339334011078,
0.7146456837654114,
1.2272160053253174,
-0.18557791411876678,
-0.10293488204479218,
-0.39427638053894043,
-0.37558960914611816,
-1.2921562194824219,
0.022968281060457... |
TASK DEFINITION: Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can be directly excluded without reasoning according to the cont... | They are Musim .
| 8 | NIv2 | task025_cosmosqa_incorrect_answer_generation | fs_opt | [
-0.021969953551888466,
0.40707653760910034,
-0.6002604365348816,
0.4669651985168457,
0.1177283227443695,
-0.3919524550437927,
0.41556286811828613,
0.6798208355903625,
-0.33391085267066956,
0.06511545181274414,
-0.12766334414482117,
0.27909189462661743,
-0.18653462827205658,
0.1036486402153... |
Instructions: In this task, you are given a post in English from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it should... | Hateful | 3 | NIv2 | task333_hateeval_classification_hate_en | zs_opt | [
-0.700152575969696,
0.01786867156624794,
0.9320485591888428,
0.8344771862030029,
0.09284043312072754,
-0.717239499092102,
0.7844495177268982,
1.370725393295288,
0.7274108529090881,
0.6243885159492493,
0.2981604337692261,
0.025517914444208145,
-0.2720436453819275,
-0.7968953847885132,
-0.... |
Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
Input: Eu, pola contra, teño un problema moi preto da casa.
Output: | I, however, have a problem very close to home. | 3 | NIv2 | task1238_ted_translation_gl_en | zs_opt | [
-0.4155721962451935,
0.6462593674659729,
-0.2564722001552582,
-0.3859561085700989,
-0.16374388337135315,
-1.3225188255310059,
-0.9138060808181763,
1.0989810228347778,
-0.4104446768760681,
0.4302366375923157,
-0.5566983819007874,
0.16321957111358643,
-0.8328902721405029,
-0.7086852192878723... |
Part 1. Definition
In this task, you will be presented with the directions of a recipe separated by "," and have to fill in the "___" which is a step that is missing from the recipe.
Part 2. Example
Preheat oven to 325F and grease and flour a 10" tube pan.,Soak the nutmeg in the whiskey for ten minutes.,______,Cream bu... | Wash chicken pieces and pat dry. | 7 | NIv2 | task572_recipe_nlg_text_generation | fs_opt | [
0.5418179035186768,
0.25921040773391724,
-0.6841868162155151,
0.5621247291564941,
0.11846935749053955,
0.15212196111679077,
0.7905823588371277,
1.1508804559707642,
-0.17615380883216858,
-0.2376459240913391,
0.3341754674911499,
0.6636767387390137,
-0.3302076458930969,
0.2889026403427124,
... |
Teacher: Given a sentence in the Thai, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Teacher: Now, understand the problem? If you are still confused, see the following example:
อิตาลีได้เอาชนะโปรตุเกสด้วยคะแนน31ต่อ5 ในกลุ่มc ข... | スティーヴンスは、すぐに彼の有罪判決を上訴して、無罪を主張し続けた。 | 2 | NIv2 | task1128_alt_th_ja_translation | fs_opt | [
-0.13490919768810272,
0.7600839734077454,
-0.6402429938316345,
0.36375048756599426,
-0.2036716639995575,
-0.5985394716262817,
0.40244466066360474,
0.5260768532752991,
0.32406085729599,
-0.16080249845981598,
-0.5790337324142456,
1.0120497941970825,
-0.17682524025440216,
0.5051708221435547,
... |
Detailed Instructions: Given a sentence in English language, translate the sentence to Somali language keeping the meaning of the original sentence intact
Q: English sentence: No sooner had the Krayzah received the message they sent one back saying, "Tomorrow is the Sabbath, and we will not fight with you against Muham... | No si degdeg ah lahaa Krayzah ka heshay fariin ay u soo dirtay mid ka dib waxay odhan doonaan, "BerriWaa sabti, oo aynaan idiin dagaallami doona leh ka dhanka ah Muhammad haddii aad noo soo dirto qaar ka mid ah ragga aad oo waxaan ku qabanaynaa laga yaabaa ilamaa aannu nafteenna uga takhalusi isaga ah. | 9 | NIv2 | task446_opus_paracrawl_en_so_translation | zs_opt | [
0.25092267990112305,
1.3291139602661133,
0.29015839099884033,
-1.020772933959961,
-0.4598899483680725,
-1.840833306312561,
0.5168272852897644,
0.35610321164131165,
0.0474521666765213,
0.22750332951545715,
-0.04307718202471733,
1.0172088146209717,
-0.29475611448287964,
-0.3415769338607788,
... |
Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
English sentence: Facebook Posts Cyril Neveu: in 1984 I'll drive!
Facebook posts Cyril Neveu: na 1984 M abịa site ụgbọ ala!
English sentence: And although the task was not an easy one, we ... | Jizọs gwara anyị, sị: “Ọ bụghị naanị achịcha ga-eme ka mmadụ dị ndụ, kama ọ bụ okwu niile nke na-esi n’ọnụ Jehova pụta.” (Matiu 4:4) Olee otú okwu niile si n’ọnụ Chineke, ya bụ, ihe Chineke kwuru na Baịbụl, ga-esi eme ka anyị na-enwe obi ụtọ, ndụ anyị enweekwa isi? Ka anyị leba anya n’atọ n’ime ha.
| 0 | NIv2 | task452_opus_paracrawl_en_ig_translation | fs_opt | [
-0.38623082637786865,
0.08863142132759094,
-0.0380435585975647,
-0.5421066284179688,
0.2487679123878479,
-0.5130695700645447,
1.086451530456543,
0.5779399871826172,
0.22708046436309814,
0.11807295680046082,
0.4073272943496704,
-0.08400866389274597,
-0.049576953053474426,
-0.327598690986633... |
Given the task definition and input, reply with output. Given a sentence and an entity, the task is to select the authors sentiment towards the enity. Sentiments can be Positive, Neutral and Negative. Select Positive if the sentence expresses a positive view towards the given entity or praises its quality or skills. Se... | Neutral | 5 | NIv2 | task421_persent_sentence_sentiment_classification | zs_opt | [
-1.3533012866973877,
0.043288182467222214,
0.6263808608055115,
-0.24807803332805634,
0.22278498113155365,
-0.8772373199462891,
0.4819852113723755,
0.09169270843267441,
0.3492542505264282,
0.054974086582660675,
-0.36459675431251526,
-0.24045944213867188,
-0.3838992118835449,
-0.452077567577... |
Teacher:We would like you to assess the QUALITY of each of the following argument (discussing Gun Control) and determine if the argument is Valid or Invalid. A valid argument is clearly interpretable and either expresses an argument, or a premise or a conclusion that can be used in an argument for the topic of gun cont... | Valid | 6 | NIv2 | task150_afs_argument_quality_gun_control | zs_opt | [
0.1998199224472046,
0.6609465479850769,
0.7639588117599487,
-0.5722694396972656,
-0.41250017285346985,
-1.9238288402557373,
0.45200055837631226,
0.7603777647018433,
0.1967276632785797,
0.1313309669494629,
-0.48625943064689636,
-0.5248322486877441,
-0.3351324200630188,
0.015411537140607834,... |
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.
What are the new technical seminar topics for computer science?
| What are the latest seminar/mini-project topics for computer science students? | 5 | NIv2 | task1345_glue_qqp_question_paraprashing | zs_opt | [
-0.6160470247268677,
1.0777463912963867,
-0.17446032166481018,
-0.1366032063961029,
-0.17357495427131653,
0.4442082643508911,
0.08288142085075378,
0.29028087854385376,
0.15985670685768127,
0.15872390568256378,
-0.25622838735580444,
0.3351749777793884,
-0.04542353004217148,
0.64078807830810... |
Detailed Instructions: In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of... | No | 8 | NIv2 | task1197_atomic_classification_oreact | zs_opt | [
0.044334955513477325,
0.42165088653564453,
0.5182452201843262,
-0.3441011309623718,
-0.24901239573955536,
-0.9122253656387329,
0.8912032842636108,
0.5166951417922974,
-0.7627184987068176,
-0.29029667377471924,
-0.07438154518604279,
-0.529795229434967,
-0.7421560287475586,
0.144751518964767... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronoun... | Two woman on the computer.
| 6 | NIv2 | task188_snli_neutral_to_entailment_text_modification | fs_opt | [
-0.3945426046848297,
0.8107831478118896,
-0.358950674533844,
-0.8834671378135681,
-0.025536872446537018,
-0.2116090953350067,
-0.19716329872608185,
0.8148485422134399,
0.3810318112373352,
-0.7619237303733826,
-0.9549084901809692,
-0.042988985776901245,
0.036593951284885406,
0.0123525280505... |
Given the task definition, example input & output, solve the new input case.
In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independ... | Neutral | 1 | NIv2 | task1646_dataset_card_for_catalonia_independence_corpus_text_classification | fs_opt | [
0.1012839749455452,
0.5422772169113159,
0.26366686820983887,
0.8814374804496765,
-0.24303144216537476,
-0.45236629247665405,
0.057572800666093826,
0.6604334115982056,
-0.22676047682762146,
0.32335203886032104,
-0.36105072498321533,
-0.12747910618782043,
0.27501726150512695,
-0.427347213029... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence in a geopolitical context based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify... | non-geopolitical | 1 | NIv2 | task1493_bengali_geopolitical_hate_speech_binary_classification | zs_opt | [
-0.8119949102401733,
0.5040052533149719,
0.4067454934120178,
0.2588849365711212,
-0.6861221790313721,
-0.30444079637527466,
0.6895878314971924,
0.27495458722114563,
-0.06079557538032532,
-0.26257967948913574,
-0.4167827069759369,
-0.09832072257995605,
-0.3858816623687744,
-0.34103041887283... |
This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must be such that the triplets accurately capture the structure and semantics of the input sentence. The input is a sentence an... | Solution: [['A Loyal Character Dancer', 'LANGUAGE', 'English language'], ['A Loyal Character Dancer', 'COUNTRY', 'United States']] | 5 | NIv2 | task1410_dart_relationship_extraction | fs_opt | [
-0.43335607647895813,
0.1820877492427826,
-0.567915678024292,
-0.5064742565155029,
-0.4259447157382965,
0.2649006247520447,
0.5529418587684631,
0.11382937431335449,
0.2720435857772827,
-0.5402605533599854,
-0.24602121114730835,
0.06696466356515884,
-0.36764106154441833,
0.5881555080413818,... |
This task is to find the number of 'For' loops present in the given cpp program.
Example Input: int n,i;//???? n ???????
int f(int a,int min){ //??????f ?????a n
if(a < min){ //?????a ??n
return 0; //????0? ???????????
}
int result = 1; //??????? ???1
for(int i = min;i<a;i++){ //for?? ? ?????... | 0
| 3 | NIv2 | task921_code_x_glue_information_retreival | fs_opt | [
-0.4238622188568115,
0.06172928586602211,
-0.16199162602424622,
-0.2421666979789734,
-0.004031065851449966,
0.3188115954399109,
0.3565247654914856,
1.0710116624832153,
-0.7298010587692261,
0.48841550946235657,
-0.08439736068248749,
0.08405715227127075,
-0.46891117095947266,
0.2713633179664... |
In this task, you need to answer basic science questions. For each question, several terms are intentionally masked with ***. This masking can cover very few or many of the question words. Clearly, if masked terms are important, the modified question will be impossible to answer. Please indicate the correct answer with... | E. | 6 | NIv2 | task043_essential_terms_answering_incomplete_questions | fs_opt | [
0.01557666901499033,
0.7009199261665344,
-0.5223485231399536,
-0.3156397342681885,
-0.22196516394615173,
-0.8394124507904053,
0.7108786106109619,
0.9162940979003906,
-0.2950219511985779,
0.11201375722885132,
-0.5597529411315918,
-0.1096758097410202,
-0.44297683238983154,
-0.096825942397117... |
instruction:
You are given a sentence in Galician. Your job is to translate the Galician sentence into Farsi.
question:
Terceiro, a negatividade.
answer:
سوم ، منفی گرایی
question:
(Aplausos) Esta imaxe de tres homes con máscaras de gas foi tomada orixinalmente en Chernobyl, e pegueina no Sur da Italia, onde as veces... | یک نفر روزی از استفان هاکینگ پرسید که ضریب هوشی چیست ، و او پاسخ داد ، « نظری ندارم. افرادی که درباره ضریب هوشی شان تکبر دارند بازنده هستند. »
| 9 | NIv2 | task1245_ted_translation_gl_fa | fs_opt | [
-0.7064515948295593,
0.02544351853430271,
0.1320459544658661,
-0.9316326379776001,
-0.15514439344406128,
-0.17828868329524994,
0.4483085870742798,
0.4351210594177246,
-0.3342694342136383,
0.4076211452484131,
-1.1387991905212402,
0.3703109622001648,
-0.6290768384933472,
-0.31362494826316833... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
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 match... | green_bottle | 0 | NIv2 | task152_tomqa_find_location_easy_noise | fs_opt | [
0.3132667541503906,
0.36331695318222046,
-0.7058641910552979,
0.00017604930326342583,
-0.04156329482793808,
-0.2623996436595917,
0.3365435004234314,
0.5110346078872681,
-0.08123378455638885,
-0.12878522276878357,
-0.15220266580581665,
0.18201309442520142,
-0.044228002429008484,
0.319710195... |
Detailed Instructions: In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language.
Problem:Orice femeie care dorește să facă avort o poate face.
Solution: | Any woman that wants and abortion can get one. | 8 | NIv2 | task1435_ro_sts_parallel_language_translation_ro_to_en | zs_opt | [
0.3610486686229706,
1.0220603942871094,
0.4359267055988312,
-0.3085905909538269,
0.031014034524559975,
-0.7158046960830688,
0.8256850838661194,
0.4460374116897583,
1.1158733367919922,
0.2533966302871704,
-0.43407317996025085,
0.11884421110153198,
-0.8641799688339233,
-0.11646386235952377,
... |
Q: Write a correct answer for the question. You should reason about prototypical situations and provide the correct answer. Avoid answers that provide incomplete justification for the question.
name something a person might get caught in.
A: | rain | 7 | NIv2 | task820_protoqa_answer_generation | zs_opt | [
-0.02657887153327465,
1.375657320022583,
0.21094080805778503,
-0.5499143600463867,
-0.6205266714096069,
-1.2903751134872437,
0.5174828171730042,
0.4212462604045868,
-0.011579548940062523,
-0.05481363832950592,
-0.0919145718216896,
0.1514768898487091,
-0.7747927904129028,
-0.244968131184577... |
Part 1. Definition
In this task, you are to Translate German text to English
Part 2. Example
Das Textilband (1) ist insbesondere als (Kreuz-) Band-, Ligament- oder Sehnenersatz einzusetzen.
Answer: The textile band (1) is used particularly as (cross) ligament or tendon replacement.
Explanation: The translation is fluen... | Objects (6) moved with the sensor axes in an object movement direction are detected. | 7 | NIv2 | task841_para_pdt_de_en_translation | fs_opt | [
-0.1309904158115387,
0.599088728427887,
-0.389504075050354,
0.34806838631629944,
0.05466870591044426,
-0.39810359477996826,
0.7044494152069092,
-0.057242702692747116,
-0.4419593811035156,
-0.3005131483078003,
-0.5079119205474854,
-0.037821125239133835,
-0.3652646541595459,
0.11918587237596... |
Definition: In this task, you're given a review from Amazon and your task is to generate the name of the category of the product based on the review given by the user. The categories are: kitchen, office product, watch, wireless, other, toy, digital video download, camera, jewelry, pet products, sports, industrial supp... | drugstore | 2 | NIv2 | task617_amazonreview_category_text_generation | zs_opt | [
-0.07638522982597351,
-0.6197327971458435,
-0.9846084713935852,
0.29340794682502747,
0.030989497900009155,
-0.3552353084087372,
0.22143901884555817,
0.8321889638900757,
0.060035862028598785,
0.4794541597366333,
-0.17272819578647614,
0.7480011582374573,
-0.10264712572097778,
-0.245595797896... |
Given the task definition and input, reply with output. You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
ウェイド = デービスの話の主旨に沿って言えばアンデス山地や極北の地での素晴らしい天地創造の物語と同じように扱われてもよいものです
| E diría que se merece, coma diría Wade Davis, cando menos compararse ás marabillosas historias da creación da xente dos altos Andes e o xeado norte. | 5 | NIv2 | task1095_ted_translation_ja_gl | zs_opt | [
-0.6500468850135803,
0.9002456665039062,
-0.10446590185165405,
-0.8221365213394165,
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0.3757562041282654,
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-0.6290227174758911,
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-0.38903534412384033,
0.764054954051... |
Instructions: Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so the users can decide to read the main text or not.
Input: I (F... | wanting 2 years to myself before I make a career decision of whether I want to get into our family business or not | 3 | NIv2 | task500_scruples_anecdotes_title_generation | zs_opt | [
-0.21699334681034088,
0.4965459406375885,
0.18998819589614868,
-0.6605148315429688,
0.3063698410987854,
-0.04655752703547478,
-0.06045570597052574,
1.38282310962677,
-0.08730987459421158,
0.47965046763420105,
-0.21827641129493713,
0.8583701252937317,
-0.8394004106521606,
-0.468313455581665... |
TASK DEFINITION: Given a sentence, generate a most unlikely next statement. The next statement should not be logically relevant to the given context
PROBLEM: A chubby, friendly uncle sits on a sofa, one child on his lap and several others gathered cross - legged around him on the floor. They
SOLUTION: leave their room... | cringes the piercing mode before talking again.
| 8 | NIv2 | task454_swag_incorrect_answer_generation | fs_opt | [
0.29421690106391907,
0.43660950660705566,
-0.446747362613678,
0.10939335823059082,
-0.23188859224319458,
0.7389055490493774,
0.07062162458896637,
0.18380583822727203,
0.4689781665802002,
0.22974443435668945,
-0.11631593108177185,
0.3713285028934479,
-0.16481825709342957,
-0.208124026656150... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
[EX Q]: Po raz pierwszy zainteresowałem się ośmiornicami w młodym wieku.
[EX A]: התחלתי להתעניין בתמנונים בגיל צעיר
[EX Q]: Jest to w dalszym ciągu podstawa efektywnej polityki: pomoc, handel, bezpieczeństwo, zarządzanie.
[E... | אני חושבת שזה רעיון מאוד מביך, הרעיון שמכוניות אחרות תוכלנה לעקוב אחרינו, ולדבר עלינו עם מכוניות אחרות. שניסע בכביש בים של רכילות.
| 6 | NIv2 | task1260_ted_translation_pl_he | fs_opt | [
-0.7333108186721802,
0.40137597918510437,
-0.8990522623062134,
0.09302724897861481,
-1.0497877597808838,
-0.614356517791748,
1.4688153266906738,
-0.2699275016784668,
0.5063680410385132,
-0.026380393654108047,
-0.6788824796676636,
0.24565403163433075,
-1.1168568134307861,
-0.038915067911148... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Japanese.
One example is below.
Q: A ideia é muito, muito simples.
A: このアイデアはとてもシンプルで
Rationale: The Portugese sentence is correctly translated into Japanese, because the meaning is preserved.
Q: E só depois do dobro do tempo ... | そして２倍の期間を生きて全て死にます | 9 | NIv2 | task1275_ted_translation_pt_ja | fs_opt | [
-0.03196470066905022,
0.40114372968673706,
0.011268386617302895,
-0.605637788772583,
-0.7380293011665344,
-1.330427885055542,
0.8199756145477295,
-0.0024329510051757097,
0.13594624400138855,
-0.7734071612358093,
-0.631830632686615,
0.24329569935798645,
-0.88714998960495,
0.6341710686683655... |
Definition: In this task, you have to generate the title of the recipe given its required ingredients and directions.
Input: ingredients: '4 to 6 Lamb Chops', '2 Yam or Sweet Potatoes', '1 big Onion', '1 head Garlic', '1 Salt', '1 cup Red Wine', '2 tbsp Chopped or Dried Rosemary', '3 tbsp Olive Oil',<sep> directions: ... | Baked Lamb Chops | 2 | NIv2 | task569_recipe_nlg_text_generation | zs_opt | [
0.07568091154098511,
-0.022819966077804565,
-0.4758259057998657,
0.6768938302993774,
0.0621204674243927,
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0.23133248090744019,
1.0154991149902344,
-0.38764655590057373,
0.16606341302394867,
0.09595979750156403,
0.4996063709259033,
-0.3160955309867859,
0.0446731522679328... |
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".
Problem:Review: This apology for a movie is ... | yes | 8 | NIv2 | task285_imdb_answer_generation | zs_opt | [
-1.326632022857666,
0.30224964022636414,
0.31588903069496155,
0.42040178179740906,
0.10233338177204132,
-1.0089540481567383,
0.7605196237564087,
0.9681415557861328,
0.6619369387626648,
-0.3533540964126587,
-0.41227972507476807,
-0.480193555355072,
0.16093085706233978,
-0.1570112109184265,
... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | No | 4 | NIv2 | task1215_atomic_classification_capableof | zs_opt | [
0.3509864807128906,
0.5926094651222229,
0.48111146688461304,
-0.35165300965309143,
-0.472322016954422,
-0.39464548230171204,
1.0641049146652222,
0.18052662909030914,
-0.04473066329956055,
-0.5396526455879211,
-0.4534977674484253,
-0.3828992247581482,
-0.3506912589073181,
0.4841175377368927... |
Instructions: Given a sentence and a label in Croatian, select the correct answer. There are 2 choices given, out of which only one is correct for a given statement and label. The label of the task is either 'cause' or 'effect'. The output will be the choice which matches the label with the given statement. If the labe... | Isključio ju je. | 3 | NIv2 | task1626_copa_hr_question_answering | zs_opt | [
-0.35915374755859375,
0.6883846521377563,
-0.4908646047115326,
0.03315948694944382,
-0.26450327038764954,
-0.46868282556533813,
0.15792298316955566,
-0.15785396099090576,
-0.22609937191009521,
-0.1854686439037323,
-0.48971882462501526,
0.648469090461731,
-1.353515386581421,
0.1014042869210... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you will be given a food review and a question about the reviewer's sentiment toward one aspect of the food in Persian. You have to infer the answer to the question from the review and ... | no sentiment expressed | 0 | NIv2 | task524_parsinlu_food_aspect_classification | fs_opt | [
-0.9348690509796143,
0.2602701783180237,
0.09189571440219879,
-0.0671418309211731,
0.17399916052818298,
0.2063349038362503,
1.2288612127304077,
0.6260518431663513,
0.24886000156402588,
-0.027004051953554153,
0.10586462914943695,
-0.03823869675397873,
-0.20297551155090332,
0.302625179290771... |
Part 1. Definition
In this task you will be given an arithmetic operation and you have to find its answer. The symbols of operators '+' and '-' has been swapped i.e you need to perform subtraction when you see a '+' symbol and addition in case of '-' symbol.
Part 2. Example
5 + 3
Answer: 2
Explanation: Here, '+' repre... | 610 | 7 | NIv2 | task085_unnatural_addsub_arithmetic | fs_opt | [
0.005003790836781263,
0.0648558959364891,
-0.8321037292480469,
0.45718687772750854,
-0.012569979764521122,
0.22808332741260529,
1.1649991273880005,
1.0597261190414429,
0.41092216968536377,
-0.5923168659210205,
-0.7417328357696533,
-0.5031794905662537,
-0.7462230324745178,
0.321290493011474... |
Teacher:In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every odd number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no odd numbers in an inner list y... | [369, -253, -8835, -1615] | 6 | NIv2 | task852_synthetic_multiply_odds | zs_opt | [
-0.528316080570221,
-0.10780014097690582,
-0.46029582619667053,
-0.2054571509361267,
-0.00280297314748168,
-0.1002841368317604,
1.1992583274841309,
0.35063621401786804,
-0.23275870084762573,
-0.2279183268547058,
-0.9590734243392944,
-0.4890947639942169,
-0.5012130737304688,
-0.682864785194... |
Detailed Instructions: In this task, you're given a context passage, followed by a question that needs to be answered. Based on the paragraph, you must write unambiguous answers to the questions and your answer must refer to a specific phrase from the paragraph. If multiple answers seem to exist, write the answer that ... | worried that Jesse might have cancer | 8 | NIv2 | task595_mocha_answer_generation | zs_opt | [
-0.5319037437438965,
0.9631081819534302,
0.04955875873565674,
-0.5159308910369873,
-0.34631475806236267,
-0.6212539672851562,
1.2177172899246216,
0.45283791422843933,
-0.019142478704452515,
0.08255837857723236,
-0.30800431966781616,
0.008981389924883842,
-0.430056095123291,
0.4808841943740... |
Teacher:Given a sentence in the Lao, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Teacher: Now, understand the problem? Solve this instance: ຕອນນີ້ມັນຂຶ້ນກັບ ເລຂາທິການລັດ ໄອແລນເໜືອ ປີເຕີ້ ເຮນ ເພື່ອເລືອກການດຳເນິນການໃນຂັ້ນຕໍ່ໄປ... | 今、次の行動の方向性を選ぶのは北アイルランド国務長官のピーター・ハイン氏に任されている。 | 6 | NIv2 | task1125_alt_lo_ja_translation | zs_opt | [
0.14108765125274658,
-0.5590075254440308,
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-0.49856165051460266,
0.12385088205337524,
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-0.04681266099214554,
0.11722490191459656,
-0.32985618710517883,
-0.7175499796867371,
-0.2168300449848175,
0.5789282321929932,
-1.0376524925231934,
0.780710101127... |
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.
Let me give you an example: concept: Selena Gomez question: what city was selena gomez born in?
The answer to this example can be: New York City
Here is why... | ['Seoul'] | 8 | NIv2 | task1601_webquestions_answer_generation | fs_opt | [
-0.016957031562924385,
0.2934912443161011,
0.055478960275650024,
0.3300257921218872,
-0.5209242701530457,
-0.5627096891403198,
0.09675216674804688,
0.5112571120262146,
0.4842100739479065,
0.5271756649017334,
-0.008747863583266735,
0.9788880348205566,
-0.619240403175354,
-0.0274869091808795... |
Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's beli... | green_treasure_chest | 3 | NIv2 | task153_tomqa_find_location_hard_clean | fs_opt | [
0.3147873878479004,
-0.6296512484550476,
0.01901051215827465,
0.23231950402259827,
-0.2664601802825928,
-0.5625215768814087,
0.20450866222381592,
0.6522252559661865,
0.03945025056600571,
0.2163921594619751,
0.21007491648197174,
0.47202104330062866,
-0.0413898229598999,
0.27574604749679565,... |
You will be given a definition of a task first, then some input of the task.
In this task, positions of two consecutive words have been swapped. You need to output the position of the swaped words. e.g. in the sentence 'Seattle has nice a weather', the word 'a' and 'nice' have been swapped. These words are at 3rd and 4... | (7, 8) | 1 | NIv2 | task089_swap_words_verification | zs_opt | [
-0.003241993021219969,
1.0159399509429932,
-0.026267165318131447,
-0.6412042379379272,
0.04999082535505295,
-0.2501068413257599,
0.4757615029811859,
0.39539220929145813,
0.2878270745277405,
0.019170910120010376,
-0.087774857878685,
-0.10226842015981674,
-0.1630871593952179,
-0.044298373162... |
Q: The input is a sentence. The sentence includes an emotion. The goal of the task is to classify the emotion in the sentence to one of the classes: 'fear', 'joy', 'anger', 'sadness'. The emotion mainly depends on the adverb within the sentence.
Jamel made me feel annoyed.
A: | anger | 7 | NIv2 | task1338_peixian_equity_evaluation_corpus_sentiment_classifier | zs_opt | [
-0.7321277856826782,
0.5613595843315125,
0.7658138871192932,
-1.2309772968292236,
-0.23302669823169708,
-0.14612571895122528,
0.9128195643424988,
0.8650933504104614,
-0.11243468523025513,
-0.2266208678483963,
-0.3344309628009796,
-0.6607651114463806,
-1.1569994688034058,
-0.447983175516128... |
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, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly agree with each other. Generated sentences must be short, wi... | The boy with blue shorts stretches | 1 | NIv2 | task188_snli_neutral_to_entailment_text_modification | zs_opt | [
-0.31464260816574097,
0.743610143661499,
0.17076224088668823,
-0.11771208047866821,
-0.10145902633666992,
0.06628915667533875,
-0.09163147211074829,
0.5688859224319458,
0.32740354537963867,
-0.5020303726196289,
-1.231445074081421,
-0.20807605981826782,
0.025266965851187706,
-0.253571212291... |
In this task, you are given text for US Congressional and California state bills, your task is to generate a summary for this bill.
SECTION 1. SHORT TITLE.
This Act may be cited as the ``Depressed Smaller Cities Improvement
Act of 1993''.
SEC. 2. INTERAGENCY TASK FORCE ON DEPRESSED SMALLER CITIES.
(a) Esta... | Secret Evidence Against Lawful Aliens Repeal Act of 2001 - Amends the Immigration and Nationality Act to require the Attorney General to provide advance notice to an alien who is a lawful permanent resident or is otherwise in the United States with an unexpired visa and the presiding officer in any immigration proceedi... | 0 | NIv2 | task1658_billsum_summarization | fs_opt | [
0.47431039810180664,
-0.00566455814987421,
-0.5677698254585266,
-0.5003135204315186,
1.0962218046188354,
-0.33560800552368164,
1.7098368406295776,
1.0534040927886963,
-0.7136467695236206,
0.37173429131507874,
-0.2646532356739044,
0.7730320692062378,
-0.615199089050293,
0.5504074096679688,
... |
Q: In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write your answer in the f... | Ricard want(s) adventure >Motivates> He wants to be an astronaut | 7 | NIv2 | task747_glucose_cause_emotion_detection | zs_opt | [
-0.513343095779419,
-0.12241113185882568,
0.14780619740486145,
-0.3521173298358917,
-0.007534434553235769,
-0.9410350322723389,
0.4651035666465759,
0.0780428797006607,
-0.26082152128219604,
-0.19270865619182587,
-0.6956151723861694,
-0.24792024493217468,
-0.3462579846382141,
-0.35734540224... |
Based on the given context, craft a common-sense question, especially those that are LONG, INTERESTING, and COMPLEX. The goal is to write questions that are easy for humans and hard for AI machines! To create such questions, here are some suggestions: A. What may (or may not) be the plausible reason for an event? B. Wh... | Why did they meet at a pub ? | 4 | NIv2 | task023_cosmosqa_question_generation | zs_opt | [
0.7513676285743713,
0.7396354675292969,
0.16534270346164703,
-0.23353222012519836,
-0.032907530665397644,
-0.19648271799087524,
-0.31561893224716187,
0.08878873288631439,
0.38909029960632324,
0.2347049117088318,
-0.20468172430992126,
-0.06771019101142883,
-0.2723078429698944,
0.66075026988... |
Teacher:You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to classify the conversation either convey 'No emotion' or 'Happiness' by providing '1' and '0', respectively.
Teacher: Now, understand the problem? Solve this instance: Pers... | 0 | 6 | NIv2 | task1536_daily_dialog_happiness_classification | zs_opt | [
-0.2696629762649536,
-0.39990758895874023,
0.0900217667222023,
-0.18115419149398804,
0.3748968243598938,
0.11911594867706299,
0.43704766035079956,
0.3184887170791626,
0.1469482183456421,
-0.016484446823596954,
0.27858880162239075,
-0.7516289353370667,
-0.08173525333404541,
-0.3054198920726... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that contradict each other. Your job is to alter sentence 2 so that the pair agree with 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... | A man is skateboarding outside. | 0 | NIv2 | task186_snli_contradiction_to_entailment_text_modification | zs_opt | [
-0.5260902047157288,
0.6498846411705017,
0.5107593536376953,
-0.293453574180603,
0.23523785173892975,
0.19395816326141357,
-0.03679957240819931,
0.6735020875930786,
0.45243388414382935,
-0.8324346542358398,
-1.0167076587677002,
-1.054549217224121,
-0.4732489287853241,
-0.22475895285606384,... |
The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Portuguese Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and form of each sentence in the Portuguese Langua... | Solution: "Tome! Você pode niná-lo um pouco, se quiser!" disse a Duquesa para Alice, arremessando o bebê para ela enquanto falava. | 5 | NIv2 | task1647_opus_books_en-pt_translation | fs_opt | [
-0.39638304710388184,
0.5812153816223145,
-0.30706101655960083,
-0.6017941236495972,
-0.1907806396484375,
-0.9135913252830505,
0.42237168550491333,
0.30763524770736694,
0.027979083359241486,
-0.19421392679214478,
-0.07530520856380463,
0.4823574423789978,
-0.6031312942504883,
0.075448304414... |
Teacher:In this task, you're given a context passage, an answer, and a question. Your task is to classify whether the question for this answer is correct or not, based on the given context with commonsense reasoning about social situations. If its correct ,return "True" else "False".
Teacher: Now, understand the proble... | True | 6 | NIv2 | task384_socialiqa_question_classification | zs_opt | [
-0.8942952156066895,
-0.4941559433937073,
0.6226032376289368,
-0.6256017088890076,
-0.15451762080192566,
-1.1943209171295166,
1.1936721801757812,
1.0809986591339111,
0.04683368280529976,
0.407005250453949,
0.11646050214767456,
-0.3332826495170593,
-0.09439218044281006,
0.3783772885799408,
... |
Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
Input: Consider Input: What name is given to the murder of 7 people as part of a Prohibition Era conflict between the South Side Italian gang led by Al Capone and the North Side Irish gang led by... | Output: bacchus
| 2 | NIv2 | task899_freebase_qa_topic_generation | fs_opt | [
0.08675217628479004,
0.6539124250411987,
-0.5011070966720581,
0.27599090337753296,
-0.9769719839096069,
-0.3540259301662445,
0.7864207625389099,
0.009337988682091236,
0.050583526492118835,
0.5839108228683472,
-0.38824915885925293,
0.5565277338027954,
-0.47349101305007935,
-0.18388906121253... |
Part 1. Definition
In this task, you are given two natural language statements with similar wording. You must choose the statement that makes less sense based on common sense knowledge. A '
' separates the statements. Use "first" or "second" to indicate which sentence makes less sense.
Part 2. Example
A mosquito stings... | second | 7 | NIv2 | task291_semeval_2020_task4_commonsense_validation | fs_opt | [
-0.027686968445777893,
0.275016725063324,
0.14969570934772491,
-0.7287312746047974,
0.15663141012191772,
-0.8413851261138916,
0.38986530900001526,
0.1272810995578766,
0.2631469964981079,
0.1578405797481537,
-0.45797351002693176,
-0.8812388181686401,
-0.9664198160171509,
-0.4394843578338623... |
Q: 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 ... | During the exam, PersonX copied the answers PersonY wrote on his test because _ was not very knowledgeable on the subject of the test. | 7 | NIv2 | task032_winogrande_question_generation_person | zs_opt | [
0.3722198009490967,
0.9749788641929626,
0.15200687944889069,
-0.4147971272468567,
-0.05975022539496422,
-0.21640263497829437,
1.048445224761963,
0.7490581274032593,
0.13063746690750122,
-0.8077495694160461,
0.06692912429571152,
-0.21995198726654053,
-0.342386394739151,
0.27319326996803284,... |
"Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes, and". Indicate yo... | Response 1
****
| 4 | NIv2 | task362_spolin_yesand_prompt_response_sub_classification | fs_opt | [
0.641707718372345,
0.6293034553527832,
0.34294837713241577,
0.2622126638889313,
0.17447784543037415,
-0.6594786643981934,
-0.08807303011417389,
0.7367335557937622,
-0.3469098210334778,
-0.038392480462789536,
-0.5591938495635986,
0.170206680893898,
-0.747454047203064,
0.12813542783260345,
... |
TASK DEFINITION: In this task, you need to answer the given multiple-choice question on the gain. Gain is the value by which to multiply the input. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
PROBLEM: Problem: a certain article of clothing was discounted during a special sale to 2 / 5 of its original retail... | e
| 8 | NIv2 | task1419_mathqa_gain | fs_opt | [
-0.14268143475055695,
0.5924160480499268,
-0.38208386301994324,
0.17039117217063904,
-0.11565276235342026,
-0.24424660205841064,
0.30985206365585327,
0.9409719109535217,
-0.2537238299846649,
0.36199527978897095,
-0.32164186239242554,
-0.11363963782787323,
-1.2530956268310547,
0.04333441331... |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Example input: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in business with su... | positive | 3 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt | [
-0.13977622985839844,
0.14681626856327057,
0.0543542355298996,
-0.3183693289756775,
-0.38223209977149963,
-0.33097565174102783,
1.2009861469268799,
0.8315873146057129,
-0.08314397186040878,
0.44473403692245483,
-0.03667779266834259,
0.08794941008090973,
-0.6343904733657837,
-0.214498773217... |
Definition: Given a sentence in Italian, generate a new Italian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probabi... | Potresti vedere un film a casa perche' e' un film di famiglia. | 2 | NIv2 | task408_mickey_it_sentence_perturbation_generation | zs_opt | [
-0.08636316657066345,
0.3997887969017029,
-0.1404106765985489,
0.3569851517677307,
-0.2676146328449249,
-0.2979799509048462,
0.3165588080883026,
0.8020203709602356,
-0.005056964233517647,
-0.8032078742980957,
-1.149535059928894,
0.1134657934308052,
-0.27640873193740845,
0.5846430063247681,... |
Detailed Instructions: You are given a statement written in Oriya. 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 .
See one example below:
Problem: Statement: 'ରକନୁଦ୍ଦୀନ'ଙ୍କ ଶାସନ ବହୁତ କମ ସମୟ ପାଇଁ ଥିଲା । ଇଲତୁତମ... | ସୁଇଡେନ | 4 | NIv2 | task951_wiki_cloze_or_multiple_choice_question_answering | fs_opt | [
0.0999886691570282,
1.115969181060791,
-0.25415122509002686,
0.13969546556472778,
0.17405645549297333,
0.25487756729125977,
0.49965137243270874,
1.3423007726669312,
0.0851077139377594,
0.5068566799163818,
-0.46312734484672546,
0.07920780777931213,
-0.7386349439620972,
0.13064266741275787,
... |
In this task, you are given a question and an answer, you would be asked to create the sentence based on the Question-Answer provided. It should be contained within the Question-Answer provided.
Let me give you an example: Question: Which is an example of a renewable energy resource? Answer: Biomass
The answer to this... | In their pure form, all elements have an oxidation number of zero. | 8 | NIv2 | task1556_scitail_passage_generation | fs_opt | [
0.5333037972450256,
0.9389744997024536,
-0.5664719343185425,
-0.6495555639266968,
-0.8442679047584534,
-1.1457946300506592,
1.486112117767334,
0.5524904727935791,
0.11789847910404205,
-0.17916348576545715,
-0.1861443668603897,
-0.19775347411632538,
-0.24782082438468933,
-0.0517044439911842... |
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 medical studies, treatments are tested within a group of study participants. You will be given a sentence of a study report in which your task is to list the phrases that give information about th... | 113 children with SCA | 0 | NIv2 | task179_participant_extraction | fs_opt | [
0.012606853619217873,
0.3178720474243164,
-0.5372605323791504,
-0.808921754360199,
-0.09066988527774811,
-0.5551377534866333,
0.5127387046813965,
0.9367203712463379,
-0.018093924969434738,
0.3342409133911133,
-0.5190044641494751,
0.48183751106262207,
-0.4839760661125183,
0.3400228023529053... |
Detailed Instructions: In this task, you are given a sentence and a question, you would be asked to create the answer which is contained in the sentence provided.
See one example below:
Problem: Sentence: Having white fur trait would a cat most likely inherit from its parents. Question: Which trait would a cat most lik... | thermal energy | 4 | NIv2 | task1555_scitail_answer_generation | fs_opt | [
-0.5247154831886292,
0.9477576017379761,
-0.2836601138114929,
-0.2766221761703491,
-0.9018954634666443,
-0.7378464937210083,
-0.24317936599254608,
0.8833580613136292,
0.32264089584350586,
-0.15604427456855774,
0.03935372084379196,
0.9533554315567017,
-0.7680230736732483,
-0.008381388150155... |
Part 1. Definition
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 import... | True | 7 | NIv2 | task1164_coda19_section_correction_classification | fs_opt | [
0.17059585452079773,
0.09673896431922913,
-0.017068002372980118,
-0.02326974645256996,
0.5140364766120911,
-0.09091652929782867,
0.1793975830078125,
1.0529682636260986,
-0.21435903012752533,
0.4633937478065491,
-1.2703577280044556,
0.2662546932697296,
-0.26032549142837524,
-0.0515374019742... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST... | Yes | 0 | NIv2 | task1725_civil_comments_severtoxicity_classification | fs_opt | [
0.5718669295310974,
-0.03311590105295181,
0.19394774734973907,
-0.25560498237609863,
0.3540944755077362,
-0.9642465114593506,
0.5376942157745361,
0.6372605562210083,
-0.2228783220052719,
-0.1322479546070099,
-0.6092855334281921,
0.3241080939769745,
-0.15629088878631592,
-0.0393110401928424... |
Given the task definition, example input & output, solve the new input case.
In this task you will be given a list of dictionaries. A dictionary is a set of key-value pairs, where each key is unique and has a value associated with that key. You should sort the list of dictionaries from smallest to largest by their 'fir... | [{'first': -37, 'second': -13}, {'first': -14, 'second': 8}, {'first': 70, 'second': -80}, {'first': 82, 'second': 54}] | 1 | NIv2 | task123_conala_sort_dictionary | fs_opt | [
0.13931435346603394,
-0.017896665260195732,
-0.37165841460227966,
0.4597266912460327,
0.6182657480239868,
-0.09213633835315704,
0.11224741488695145,
1.2536338567733765,
-0.24347737431526184,
-0.4336162805557251,
-0.6263030767440796,
-0.3538479208946228,
-0.561631441116333,
-0.2468054294586... |
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., "sympathetic" ... | Sentence 1: PersonX is considered a jock, while PersonY is more of an artist. This is because _ is an athlete.
Sentence 2: PersonX is considered a jock, while PersonY is more of an artist. This is because _ is a painter. | 4 | NIv2 | task030_winogrande_full_person | zs_opt | [
0.3045855760574341,
0.2774532437324524,
-0.2381061315536499,
-0.11768731474876404,
0.5677437782287598,
-0.18656525015830994,
1.056593894958496,
0.7644410729408264,
0.03422043099999428,
-0.7602219581604004,
-0.4467138648033142,
-0.2286827266216278,
-0.6945840716362,
0.05060124769806862,
0... |
In this task, you are given a text from a post. Your task is to find all of the proper nouns and label them. The labels are <B-PER>, <I-PER> for persons; <B-ORG>, <I-ORG> for organizations; <B-LOC>, <I-LOC> for locations; and <B-MISC>, <I-MISC> for other nouns. The capital 'B' denotes the first word of a proper noun ph... | Moscow <B-LOC> said the crew 's nationality was coincidental . | 0 | NIv2 | task610_conllpp_ner | zs_opt | [
-0.6718783378601074,
0.11394347250461578,
0.06829026341438293,
-0.47361141443252563,
-0.06434688717126846,
0.45717647671699524,
0.8736717700958252,
0.09947045147418976,
-0.22437810897827148,
-0.3057418465614319,
-0.7671682834625244,
-0.3020448684692383,
0.05501501262187958,
0.4763431549072... |
Q: In this task, you're given a statement, the genre to which that statement belongs, and a label indicating if the statement should be agreed with (entailment), disagreed with (contradiction), or neither (neutral). Your job is to write a sentence that describes the genre that follows the tone with respect to the state... | I hated that place. | 7 | NIv2 | task203_mnli_sentence_generation | zs_opt | [
-0.9299805164337158,
0.745108962059021,
-0.025326993316411972,
-0.33761265873908997,
0.38569554686546326,
-0.5098126530647278,
0.03177528455853462,
0.04188079014420509,
0.5639553666114807,
-0.12539879977703094,
-0.015962179750204086,
0.28993111848831177,
-0.8493986129760742,
-0.19637525081... |
Detailed Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Galician.
Problem:Robert Gupta.
Solution: | Robert Gupta. | 8 | NIv2 | task1279_ted_translation_pt_gl | zs_opt | [
-1.4248030185699463,
0.9898741841316223,
0.13971634209156036,
-1.1560430526733398,
0.07664930820465088,
-1.5113158226013184,
-0.29652953147888184,
-0.509442925453186,
0.25007978081703186,
-0.5609076023101807,
-0.1895143687725067,
0.09812919795513153,
-1.0041841268539429,
-0.157558709383010... |
You will be given a definition of a task first, then some input of the task.
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... | Sentence 1: During the earthquake, the boy hid under the desk instead of the table because the _ was sturdy.
Answer1: desk.
Sentence 2: During the earthquake, the boy hid under the desk instead of the table because the _ was wobbly.
Answer2: table. | 1 | NIv2 | task029_winogrande_full_object | zs_opt | [
0.4821842312812805,
0.2954639196395874,
0.15945708751678467,
0.04206683859229088,
0.8472298383712769,
-0.687546968460083,
0.538790225982666,
1.1255214214324951,
-0.6876015663146973,
-0.33237725496292114,
-0.3947303295135498,
0.057378191500902176,
-0.33532804250717163,
-0.1457383632659912,
... |
Q: In this task, you are given sentences from movie reviews. The task is to classify a sentence as "POS" if the sentiment of the sentence is positive or as "NEG" if the sentiment of the sentence is negative
These characters become wearisome .
A: | NEG | 7 | NIv2 | task363_sst2_polarity_classification | zs_opt | [
-1.002732753753662,
0.15594962239265442,
0.8033416867256165,
-0.848278284072876,
0.27119237184524536,
-1.1884549856185913,
0.958236575126648,
0.7926698923110962,
0.6958178877830505,
0.2756589651107788,
-0.7764284610748291,
-0.8180373907089233,
0.08789452910423279,
-0.15188977122306824,
0... |
instruction:
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).
question:
The Justice Department has since replaced the case'... | ヨルダン、マレーシア、およびインドネシアを含むアラブとイスラム国は、この論争の的の所業についてイスラエルを批判し、建設の中止を主張した。
| 9 | NIv2 | task435_alt_en_ja_translation | fs_opt | [
-0.1981031596660614,
0.03488297760486603,
0.4993828535079956,
-0.8559397459030151,
0.3054756820201874,
0.38093745708465576,
0.34948816895484924,
0.42188993096351624,
-0.04749778285622597,
-0.5391125679016113,
-0.16237300634384155,
-0.1393556445837021,
-1.1717418432235718,
0.393421262502670... |
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