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 |
|---|---|---|---|---|---|---|
Definition: In this task, you need to answer the given multiple-choice question on the general math. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Input: Problem: 0.0003 x 0.3 = ?
Options: a ) 0.0009 , b ) 9.0 e - 05 , c ) 0.09 , d ) 0.009 , e ) 9.0
Output: | b | 2 | NIv2 | task1420_mathqa_general | zs_opt | [
-0.01592688262462616,
0.14146852493286133,
-0.71088707447052,
-0.2477918267250061,
0.0726809948682785,
0.06062719225883484,
0.4062066078186035,
0.43693605065345764,
-0.020380211994051933,
-0.16752208769321442,
-1.0154144763946533,
0.051690708845853806,
0.1511748731136322,
-0.53055167198181... |
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.
Example Input: Matthias Fosse โฆษกของโบสถ์ไซแอนโทโลจีในนอร์เวย์กล่าวว่า เจ้าหน้าที่ที่ถามคำถามกระทำการโดยส่วนตัว
Example Output: ノルウェーのサイエントロジー教会の代表者... | 国の分断の声はより大きくなっており、１つの国家としてのイラクの将来に疑問を投げかけている。
| 3 | NIv2 | task1128_alt_th_ja_translation | fs_opt | [
-0.00535257812589407,
-0.28712576627731323,
-0.21831080317497253,
0.12038806825876236,
-0.10549651086330414,
-0.6880114078521729,
0.727708101272583,
-0.0329592227935791,
-0.11584155261516571,
0.39224526286125183,
-0.33449476957321167,
0.7665033340454102,
-0.4504567086696625,
0.657685518264... |
Detailed Instructions: In this task, you are given a context paragraph of the tweet and question. Your task is to generate right answer of given question based on given context tweet paragraph.
See one example below:
Problem: Context: Our prayers are with the students, educators & families at Independence High School &... | oilers | 4 | NIv2 | task239_tweetqa_answer_generation | fs_opt | [
0.0030890190973877907,
0.6419848203659058,
0.225881427526474,
-0.5693870782852173,
-0.23343512415885925,
-0.7298539876937866,
1.0857141017913818,
0.18042901158332825,
0.32013463973999023,
-0.19546063244342804,
-0.4248984456062317,
-0.13409292697906494,
0.18826164305210114,
-0.0824062824249... |
Teacher: Decide the language of that sentence. The language can be English, French, German, Italian, or Spanish.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Text: 'try and ehm go as close to ravine as possible but up towards the carved stones'.
Solution: English
Reason: T... | English | 2 | NIv2 | task896_miam_language_classification | fs_opt | [
0.1704079508781433,
0.2276899665594101,
0.9475653171539307,
-0.7260078191757202,
0.14062318205833435,
-0.9563467502593994,
0.6615381836891174,
0.44758084416389465,
0.30961498618125916,
-0.3397529125213623,
0.41096293926239014,
0.30592915415763855,
-0.602530837059021,
-0.4810560345649719,
... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Arabic.
Example input: É basicamente un caldeiro que rota.
Example output: ويوجد أساسا مرجل دوار.
Example explanation: The Galician sentence is correctly translated into Arabic, because the meaning is preserved.
Q: En cada lugar,... | في كل مكان انشانا معرضا لقصة, والقصة ارتحلت. | 3 | NIv2 | task1241_ted_translation_gl_ar | fs_opt | [
-0.3518160581588745,
0.32076019048690796,
0.09142222255468369,
-0.5002058744430542,
-0.11787983030080795,
-0.412411093711853,
0.8108603954315186,
-0.38175976276397705,
-0.4668411910533905,
-0.2642707824707031,
-0.5729820132255554,
-0.3504102826118469,
-0.9971681237220764,
0.664558351039886... |
Q: In this task, you will be given a sentence or two along with a change aspect. You should change the given text in the given aspect. Aspects are explained below:
Tense: Change the tense of the verbs in the text. If they're in past tense, change them to present, and if they're in present tense, change them to past te... | An oak tree is shown in the painting in Mark's living room . it is to the right of the bookcase . | 7 | NIv2 | task275_enhanced_wsc_paraphrase_generation | zs_opt | [
-0.36252665519714355,
1.0535452365875244,
-0.16440504789352417,
-0.8120831251144409,
-0.031909603625535965,
-0.6072734594345093,
0.9639207124710083,
0.7717951536178589,
0.139113649725914,
-0.10511655360460281,
-0.2591739892959595,
-0.4548720121383667,
-0.9346262812614441,
0.072820872068405... |
In this task, you are given a text from tweets and a boolean question whether this tweet has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Ex Input:
Tweet: wii active kicks ass...literally haha ugh unto the ... | no
| 1 | NIv2 | task196_sentiment140_answer_generation | fs_opt | [
-1.3083181381225586,
0.3234729766845703,
-0.3021969795227051,
0.2029554694890976,
-0.5507100820541382,
-0.9073778390884399,
0.26390939950942993,
0.016723323613405228,
0.6422297954559326,
0.07674573361873627,
-0.44390469789505005,
-0.5278893709182739,
-0.2949226498603821,
-0.275761365890502... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English.
Example Input: الآن ، كيف يتم تقييم فصل به 100 ألف طالب إذا لم يكن لديك 10 ألف مساعد تدريس ؟
Example Output: Now, how do you grade the work of 100,000 students if you do not have 10,000 TAs?
Example Input: و نحن مجرد.. انت ... | They ask us to use them only against the infidels.
| 3 | NIv2 | task1230_ted_translation_ar_en | fs_opt | [
-0.4198521375656128,
0.27069026231765747,
0.03367093205451965,
-0.8835875391960144,
-0.5342229604721069,
-0.7281758189201355,
0.39910227060317993,
0.29929763078689575,
0.24746249616146088,
0.1963258683681488,
-0.4879337549209595,
0.31105318665504456,
-0.6661231517791748,
-0.343342244625091... |
In this task, you are given the abstract of a research paper. Your task is to generate a summary of this abstract. Your summary should not be very short, but it's better if it's not more than 30 words.
Let me give you an example: Mixed precision training (MPT) is becoming a practical technique to improve the speed and... | Novel adaptive instance normalization based GAN framework for non parallel many-to-many and zero-shot VC. | 8 | NIv2 | task668_extreme_abstract_summarization | fs_opt | [
0.5785161256790161,
0.1780015230178833,
-0.6625320911407471,
0.4465314745903015,
0.6969172954559326,
-0.3912281394004822,
0.6936991214752197,
0.8744908571243286,
0.24648800492286682,
0.14023983478546143,
-0.49806085228919983,
-0.1375020444393158,
-0.2816661298274994,
0.018500864505767822,
... |
Part 1. Definition
In this task, you need to count the number of nouns/verbs in the given sentence.
Part 2. Example
Sentence: 'A small toy kept on tray held by a man'. Count the number of nouns in this sentence.
Answer: 3
Explanation: The words 'toy', 'tray', and 'man' are nouns in this sentence. So, the answer is 3.
P... | 3 | 7 | NIv2 | task155_count_nouns_verbs | fs_opt | [
0.021459262818098068,
0.6513967514038086,
-0.273016095161438,
-0.37462297081947327,
-0.2050601840019226,
-0.37232768535614014,
0.726765513420105,
0.7014332413673401,
0.06996229290962219,
-0.021840468049049377,
-0.6310991048812866,
0.08202064782381058,
-0.4016033113002777,
0.334035962820053... |
Teacher: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Teacher: Now, understand the problem? If you are still confused, see the following example:
For a movie that gets no respect there sure are a lot of... | negative | 2 | NIv2 | task284_imdb_classification | fs_opt | [
0.3300487995147705,
0.2724774181842804,
-0.8672442436218262,
0.29754382371902466,
0.5547025203704834,
-0.3580031991004944,
0.9366124868392944,
0.6572457551956177,
0.10456624627113342,
0.04206343740224838,
-0.24028629064559937,
0.07832708954811096,
-0.5765268206596375,
-0.01878710836172104,... |
Teacher: You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
Teacher: Now, understand the problem? If you are still confused, see the following example:
what kind of film is Best Seller?
Solut... | 1946 | 2 | NIv2 | task615_moviesqa_answer_generation | fs_opt | [
-0.8857380747795105,
0.1973905861377716,
-0.30926263332366943,
0.3165152668952942,
-0.255346417427063,
-0.03243833780288696,
-0.19392384588718414,
0.13757206499576569,
-0.20127862691879272,
0.11701145768165588,
0.06521588563919067,
-0.03786076605319977,
-1.0591763257980347,
-0.370225697755... |
Given the task definition, example input & output, solve the new input case.
You are given two sentences(Sentence1 and Sentence2). Answer "Yes" if these sentences are a paraphrase of one another, otherwise answer "No".
Example: Sentence1: While it was being called mandatory , Dupont said authorities were not forcing pe... | No | 1 | NIv2 | task1288_glue_mrpc_paraphrasing | fs_opt | [
-0.5029513835906982,
1.219175934791565,
0.13704270124435425,
0.0012141253100708127,
-0.2680284380912781,
-0.5029785633087158,
0.4485366940498352,
0.8477476835250854,
0.043720558285713196,
-0.01456823106855154,
-0.6525579690933228,
-0.016276441514492035,
-0.12374839186668396,
-0.58214193582... |
In this task, you get an English sentence and a corresponding Spanish translation of the English sentence. Your task is to return a "Yes" if the translation is correct, otherwise return "No"
Q: English: But these regions need to take real account of positive and negative experiences in other tourist sectors.
Spanish... | No
****
| 4 | NIv2 | task532_europarl_en-es_classification | fs_opt | [
-0.3405376672744751,
0.34874722361564636,
0.29419106245040894,
-0.09352827072143555,
0.18495947122573853,
-1.080017328262329,
0.08778467774391174,
0.8366930484771729,
-0.6646905541419983,
0.3036181926727295,
0.5078647136688232,
0.8255850076675415,
-0.20655658841133118,
-0.00091399578377604... |
In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
Here are the definitions of log... | no | 6 | NIv2 | task211_logic2text_classification | fs_opt | [
-0.03333185985684395,
-0.05739336088299751,
-0.11152829229831696,
0.43378710746765137,
0.29863449931144714,
-0.5843473672866821,
-0.05008859187364578,
0.5310746431350708,
0.09136464446783066,
0.1461055725812912,
-0.4381241202354431,
0.45109546184539795,
0.08689625561237335,
0.3655046224594... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
Ex Input:
I primi sei filoni: intelligenza artificiale, tecnologie avanzate di informatica, biotecnologie e nanotecnologie sono i diversi ambiti chiave dell ’ innovazione tecnologica.
Ex Output:
Las seis primeras líneas s... | Esta eso.
| 1 | NIv2 | task1249_ted_translation_it_es | fs_opt | [
-0.363808810710907,
0.0288994200527668,
0.5801964998245239,
-0.0033756722696125507,
-0.14123272895812988,
-0.22665461897850037,
0.15736475586891174,
1.3362419605255127,
0.005110803991556168,
-0.12532177567481995,
-0.23996292054653168,
-0.13522633910179138,
-0.3959205150604248,
0.4162033796... |
Instructions: 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., ... | Sentence 1: A capacitor was built by PersonX, and PersonY couldn't get one to work, because _ is a scientist.
Sentence 2: A capacitor was built by PersonX, and PersonY couldn't get one to work, because _ is an amateur. | 3 | NIv2 | task030_winogrande_full_person | zs_opt | [
0.2990165650844574,
0.4363517463207245,
0.03196081519126892,
-0.19560711085796356,
0.21721942722797394,
-0.4475305676460266,
0.5133928656578064,
0.8206031322479248,
-0.17633123695850372,
-0.3657599091529846,
-0.6053011417388916,
-0.3881540596485138,
-0.5819123983383179,
0.03713542595505714... |
Teacher:In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same length that is the largest across all words in that sentence.
Teacher: Now... | No | 6 | NIv2 | task114_is_the_given_word_longest | zs_opt | [
0.16773304343223572,
0.5433777570724487,
-0.6966583132743835,
-0.03923963010311127,
-0.4427725374698639,
-0.2519882917404175,
0.718389630317688,
0.46606317162513733,
0.4650614261627197,
-0.6312451362609863,
-0.37486904859542847,
0.061031341552734375,
-0.263580322265625,
-0.2847698032855987... |
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 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. ... | first | 0 | NIv2 | task291_semeval_2020_task4_commonsense_validation | fs_opt | [
-0.2956724166870117,
0.4712334871292114,
0.03908823803067207,
-0.06373845040798187,
-0.2914026975631714,
-0.393161416053772,
0.8272344470024109,
0.29766690731048584,
0.32878196239471436,
0.10981407761573792,
-0.5758250951766968,
-0.5811243057250977,
-0.4587836265563965,
0.28355059027671814... |
In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Try to find the best answer that is most likely to fill in "_". Note that the URLs in the text have been replaced with [Link].
One example: For four years we have waited ... | Copa America | 6 | NIv2 | task339_record_answer_generation | fs_opt | [
0.13661745190620422,
0.2313764989376068,
-0.8396504521369934,
-0.1020028293132782,
-0.010021982714533806,
0.29752930998802185,
0.4950692057609558,
0.9146607518196106,
-0.3987538814544678,
0.3992266058921814,
-0.17615637183189392,
0.33959242701530457,
-0.46314680576324463,
0.166216716170310... |
Teacher:Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Teacher: Now, understand the problem? Solve this instance: Topic: Libertarianism
Argument: Free market economics fosters capitalist authoritaria... | against | 6 | NIv2 | task209_stancedetection_classification | zs_opt | [
-0.1506280153989792,
0.2973238229751587,
0.3119279742240906,
-0.5358753800392151,
0.0010976148769259453,
-0.5115145444869995,
0.32481253147125244,
0.8824437856674194,
0.6541025638580322,
-0.4403066039085388,
-0.6119588017463684,
-0.238366961479187,
-0.44766759872436523,
-0.8306695222854614... |
Given a simple high-school level math question, you are required to solve it and provide the final answer. The final answer is always a single number. These questions can range from a variety of topics like simple arithmetic, solving equations, converting a quantity from one unit to another, finding remainders/GCD/LCM,... | 250
| 6 | NIv2 | task835_mathdataset_answer_generation | fs_opt | [
-0.02107418328523636,
0.16813227534294128,
-0.3002481460571289,
0.1863868534564972,
0.24975097179412842,
-0.029697008430957794,
0.751348078250885,
0.7183977365493774,
-0.1092754602432251,
-0.629432737827301,
-1.0686529874801636,
0.7207830548286438,
-0.6201937198638916,
0.04287944734096527,... |
Q: You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew.
esta figura mostra a esperanza de vida fronte ao Produto Interior Bruto, a riqueza dos países.
A: | כאן רואים את תוחלת החיים מול התוצר הלאומי הגולמי - עד כמה מדינות הן עשירות בממוצע. | 7 | NIv2 | task1242_ted_translation_gl_he | zs_opt | [
-0.6699367165565491,
0.8927532434463501,
0.2221648395061493,
-0.577301561832428,
-0.38983049988746643,
0.1164681613445282,
0.9046844840049744,
0.2265605628490448,
0.046394407749176025,
0.11960778385400772,
-0.9957183599472046,
0.47962650656700134,
-0.9224092364311218,
0.4136838912963867,
... |
Part 1. Definition
You are given a science question (hard-level) and four answer options (associated with "A", "B", "C", "D"). Your task is to find the correct answer based on scientific facts, knowledge, and reasoning. Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'. There i... | D | 7 | NIv2 | task229_arc_answer_generation_hard | fs_opt | [
0.7241420745849609,
0.6343971490859985,
-0.03674464672803879,
-0.22457459568977356,
-0.32347357273101807,
-1.1192684173583984,
0.4682340919971466,
0.6984065771102905,
-0.33060121536254883,
0.029027298092842102,
-0.5377825498580933,
0.116731196641922,
-0.4082159399986267,
-0.401078820228576... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Japanese.
Let me give you an example: A ideia é muito, muito simples.
The answer to this example can be: このアイデアはとてもシンプルで
Here is why: The Portugese sentence is correctly translated into Japanese, because the meaning is preser... | この問題に対する期待のできる２つの対処法をお話します | 8 | NIv2 | task1275_ted_translation_pt_ja | fs_opt | [
-0.663710355758667,
0.908782958984375,
0.0888955146074295,
-0.6825977563858032,
-0.31295448541641235,
-1.1362372636795044,
0.5904431939125061,
0.49382108449935913,
0.3835853338241577,
-0.7335185408592224,
-0.7551841139793396,
0.1651478260755539,
-0.9967515468597412,
0.414715051651001,
0.... |
Given the task definition and input, reply with output. 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 ... | Fact1: A guru is a teacher or guide, particularly a spiritual one. Fact2: Kim Kardashian is a socialite and a model. | 5 | NIv2 | task169_strategyqa_sentence_generation | zs_opt | [
-0.6729544401168823,
-0.12120352685451508,
0.031634844839572906,
-0.7997852563858032,
-0.17759492993354797,
-0.8765267133712769,
-0.03583364933729172,
0.338970422744751,
0.027709826827049255,
0.08363987505435944,
0.11493159830570221,
0.09478695690631866,
-0.22289793193340302,
-0.4433307349... |
Q: We would like you to assess the QUALITY of each of the following argument (discussing Gay Marriage) 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 gay marriage... | Valid | 7 | NIv2 | task148_afs_argument_quality_gay_marriage | zs_opt | [
0.059936679899692535,
0.9134007692337036,
0.9076893329620361,
-0.4585287570953369,
-0.17937114834785461,
-1.4067809581756592,
0.16711273789405823,
0.5917342305183411,
0.19597020745277405,
0.08934099972248077,
-0.6477457284927368,
-0.2127312272787094,
-0.712592601776123,
-0.4324077367782593... |
The input is a tweet which can be Hate Speech or Offensive. Given such a tweet, output a phrase from the tweet that makes it hate speech or offensive. The output should contain only one such phrase. The output has to be from within the tweet itself. Do not generate words or phrases not present in the tweet.
One example... | nigger | 6 | NIv2 | task1504_hatexplain_answer_generation | fs_opt | [
-0.8383429646492004,
1.0501394271850586,
0.4695538878440857,
0.5806332230567932,
-0.7741535305976868,
-0.8873479962348938,
0.13307581841945648,
0.6630051136016846,
0.8611099720001221,
0.49463793635368347,
-0.4030941128730774,
0.5070003271102905,
-0.6715009212493896,
-0.9819312691688538,
... |
Instructions: Given a passage in simplified Chinese, generate a reading comprehension question. The question should be unambiguous and the answer to this question should be in the passage.
Input: Passage: 叁光鱼，又称尾灯鱼是辐鳍鱼纲巨口鱼目双光鱼科的其中一种。本鱼分布于全球三大洋的深海里。包括日本、台湾、中国南海、安达曼海、阿拉伯海、东非、几内亚湾、加勒比海等海域。本鱼体细长而躯干甚短，呈黄褐色，有鳞；各鳍无色，口腔内及鳃盖呈黑色... | 叁光鱼属于什么科？ | 3 | NIv2 | task1402_clue_question_generation | zs_opt | [
0.2534138858318329,
-0.29609423875808716,
-0.7487198710441589,
-0.7817218899726868,
0.24871070683002472,
0.1288476586341858,
0.5616436004638672,
0.6576165556907654,
-0.14408737421035767,
0.04461745172739029,
-0.10217046737670898,
0.4089861512184143,
-0.8545829057693481,
-0.0185362566262483... |
Teacher: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 ch... | d | 6 | NIv2 | task231_iirc_link_classification | zs_opt | [
-0.14841210842132568,
-0.48797357082366943,
-0.21457982063293457,
-0.2928340435028076,
0.5483191609382629,
-0.8054368495941162,
0.9602115154266357,
0.9002007246017456,
-0.6652621626853943,
0.0179306473582983,
-0.61578768491745,
0.07737094163894653,
-0.06971481442451477,
0.02381253242492675... |
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... | Solution: A girl and another youngster are eating. | 5 | NIv2 | task188_snli_neutral_to_entailment_text_modification | fs_opt | [
-0.27254509925842285,
1.0036611557006836,
0.308510422706604,
-0.7517178654670715,
-0.16128835082054138,
-0.4122295081615448,
-0.3211573660373688,
0.7771279811859131,
0.40916725993156433,
-0.2855813205242157,
-0.44786494970321655,
-0.4296864867210388,
-0.7096266746520996,
-0.181740820407867... |
In this task you will be given a list of integers. For every element in the list, if the element is positive you should multiply it by 2. If the element is negative you should multiply it by -3. The output should be a list of integers that is the result of applying that logic to the input list.
Note: A list is presen... | [12, 58, 180, 177, 57, 171, 124, 44]
****
| 4 | NIv2 | task374_synthetic_pos_or_neg_calculation | fs_opt | [
-0.8737252950668335,
0.38593149185180664,
0.019296083599328995,
-0.4951111078262329,
0.030637020245194435,
0.0047072069719433784,
0.8878144025802612,
0.11014699935913086,
-0.66567063331604,
0.14641496539115906,
-0.9453840851783752,
0.2850341200828552,
-0.44698262214660645,
-0.1965647041797... |
Teacher: 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".
Teacher: Now, understand the problem? If you are still confused, see the following example:
Jap... | No | 2 | NIv2 | task1120_alt_ja_fil_answer_generation | fs_opt | [
0.3319477140903473,
-0.9322707653045654,
-0.5702587366104126,
0.042668744921684265,
0.3929114043712616,
-0.7296918034553528,
0.37674593925476074,
0.6837648749351501,
-0.7745791673660278,
-0.17668387293815613,
0.13084763288497925,
1.128566026687622,
-0.058187395334243774,
0.9206447601318359... |
You will be given a definition of a task first, then some input of the task.
Translate from English to Hindi.
- 6,500.
Output: | - 6500 लीरा. | 1 | NIv2 | task1329_open_subtitles_en_hi_translation | zs_opt | [
0.024491701275110245,
0.34951353073120117,
-0.6263512372970581,
0.4077100157737732,
0.009265008382499218,
0.3053480088710785,
-0.30534061789512634,
-0.06795328855514526,
0.08999486267566681,
-0.23112131655216217,
-0.34538760781288147,
-0.011601283214986324,
-0.17094561457633972,
-0.1259400... |
In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
Let me give you an example: Context: Tracy didn't go home that evening and resisted Riley's attacks.
Answer: Find somewhere to go
The... | What will Robin want to do next? | 8 | NIv2 | task581_socialiqa_question_generation | fs_opt | [
0.189314067363739,
1.2549686431884766,
0.32991594076156616,
0.1635202020406723,
0.12859979271888733,
-0.9190519452095032,
0.40111279487609863,
0.07370415329933167,
0.2743580937385559,
0.22189661860466003,
-0.41097360849380493,
0.5091381072998047,
-0.6760649681091309,
-0.13991403579711914,
... |
Given a sentence in the Japanese and Central Khmer language. Your task is check if the Khamer sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Let me give you an example: Japanese: 詳細は昨日UTC17時30分、英国議会でイギリスのルス・ケリー運輸大臣によって伝えられた。
Khamer: បណ្តាអ... | Yes | 8 | NIv2 | task1123_alt_ja_khm_answer_generation | fs_opt | [
-0.06762348115444183,
-0.12665879726409912,
-0.13345904648303986,
0.057524532079696655,
-0.006656750105321407,
-0.42010340094566345,
-0.21246770024299622,
0.48775172233581543,
-0.5143072605133057,
-0.006266344338655472,
0.11673437803983688,
0.8153947591781616,
-0.5905373096466064,
0.398929... |
Definition: In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event.... | Yes | 2 | NIv2 | task1196_atomic_classification_oeffect | zs_opt | [
0.33684682846069336,
0.4353369474411011,
0.3062552511692047,
-0.28415369987487793,
-0.5334651470184326,
-0.7585363388061523,
1.3425943851470947,
0.09295813739299774,
-0.38014131784439087,
-0.46857717633247375,
-0.4670340120792389,
-0.30534541606903076,
-0.49671411514282227,
0.1401680707931... |
Definition: In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. The passage is unrelated if it does not convey a stere... | Stereotype | 2 | NIv2 | task279_stereoset_classification_stereotype | zs_opt | [
0.11994364857673645,
0.09209717065095901,
-0.19590413570404053,
0.3937837779521942,
-0.22577613592147827,
0.1840171068906784,
0.6085495352745056,
0.7143839001655579,
0.1423892229795456,
-0.1434088945388794,
-0.529576301574707,
0.0573984757065773,
-0.4533422887325287,
0.14048507809638977,
... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. If the conversation begins with a question, label it '1' otherwise '0'.
Person1: Where is Tom ?
Person2: He is in the bedroom and fallen asleep .
Person1: What ? It ’ s only 9p .... | 1 | 0 | NIv2 | task1534_daily_dialog_question_classification | zs_opt | [
0.24185238778591156,
1.0257930755615234,
0.2137271612882614,
-0.35451799631118774,
-0.362268328666687,
-0.3578861355781555,
0.5841734409332275,
0.2126692533493042,
0.06302163004875183,
-0.263655424118042,
-0.5881178975105286,
-0.2778978943824768,
-0.680557370185852,
-0.39614275097846985,
... |
You will be given a definition of a task first, then some input of the task.
In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.
Sentence1: 'two dogs are wearing bonnets tied to a pole', Sentence2: 'a man in a suit walking across a baseball field'. Is the freq... | No | 1 | NIv2 | task159_check_frequency_of_words_in_sentence_pair | zs_opt | [
-0.6693491339683533,
0.13254137337207794,
-1.0106210708618164,
0.6854799389839172,
-0.18376648426055908,
-0.9256874322891235,
0.27873027324676514,
0.7128150463104248,
-0.09296055138111115,
-0.1352681666612625,
-1.1584047079086304,
0.5344386100769043,
0.3992118239402771,
0.17894458770751953... |
Given the task definition and input, reply with output. In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
Please investi... | 1 | 5 | NIv2 | task588_amazonfood_rating_classification | zs_opt | [
0.8350785970687866,
0.050321534276008606,
0.21866215765476227,
-0.444336473941803,
0.4567382037639618,
-0.6466495990753174,
-0.11399545520544052,
0.9522985219955444,
-0.43198442459106445,
0.15056432783603668,
-0.7215994596481323,
0.001881991745904088,
-0.1482386738061905,
0.179996699094772... |
Teacher: In this task, you are given a sentence in English and your task is to translate it into Spanish. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
Teacher: Now, understand the problem? If you are still confused, see the following example:
I declare ... | Señor Presidente, quisiera expresar mi profundo agradecimiento al Sr. Schroedter por su contribución a esta cuestión y por explicar a los colegas que estoy hablando en nombre de mi colega, el Sr. Flautre, que lo sucedió en la Comisión de Empleo y Asuntos Sociales pero que por desgracia está enfermo. | 2 | NIv2 | task530_europarl_en_es_translation | fs_opt | [
-0.5233784914016724,
0.6772572994232178,
-0.9149409532546997,
-0.1604566127061844,
0.13272428512573242,
-0.7818273901939392,
0.7144198417663574,
0.009794127196073532,
0.056608133018016815,
-0.17006678879261017,
0.08212047815322876,
1.1199867725372314,
-0.5821531414985657,
-0.12366031855344... |
Teacher: In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
Teacher: Now, understand the problem? If you are still confuse... | 2 | 2 | NIv2 | task588_amazonfood_rating_classification | fs_opt | [
-0.3011283874511719,
-0.9603122472763062,
0.6141359210014343,
0.05204063653945923,
0.4395235776901245,
-0.23058389127254486,
0.36469411849975586,
0.7987131476402283,
-0.6847249269485474,
0.19089579582214355,
-0.0783568024635315,
-0.21930313110351562,
-0.7819578647613525,
-0.452192157506942... |
Detailed Instructions: In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to collate all the alphabetical elements at the start of the list followed by all the numerical elements of the list. Maintain the order in which the alphabetical elements ap... | k, V, o, L, e, l, 7639, 6233, 8527 | 9 | NIv2 | task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately | zs_opt | [
-0.12798821926116943,
0.6999223232269287,
-0.04229278862476349,
-0.7086531519889832,
0.048871736973524094,
0.03330851346254349,
0.7708994746208191,
0.06229925528168678,
-0.6255901455879211,
0.41344377398490906,
-0.2101890593767166,
0.08945141732692719,
0.09024651348590851,
0.39356753230094... |
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 presented with a question in Dutch language, and you have to write the location names from the question if present. B denotes the first item of a phrase and an I any non-ini... | None | 0 | NIv2 | task1546_conll2002_location_name_extraction_answer_generation | fs_opt | [
-0.1984977126121521,
0.2572774291038513,
-0.04762905836105347,
0.21542084217071533,
-0.19105958938598633,
0.35096821188926697,
0.9440228343009949,
-0.09712105989456177,
0.6633962392807007,
-0.49455416202545166,
-0.416955828666687,
0.6094223260879517,
-0.35260677337646484,
0.582245826721191... |
In this task the focus is on physical knowledge about the world. Given the provided goal task in the input, describe a process that would lead to the asked outcome. This process often involves physical motions with objects, such as moving them, arranging them in a certain way, mixing them, shaking them, etc.
Q: shears... | cuts hedges cleanly | 4 | NIv2 | task080_piqa_answer_generation | zs_opt | [
0.1974998116493225,
0.8892883062362671,
-0.507451057434082,
-0.02892727218568325,
-0.6982492804527283,
0.02716401033103466,
-1.2128369808197021,
0.633493959903717,
-0.013229802250862122,
0.3477768898010254,
-0.5938720703125,
0.16182969510555267,
-0.28202638030052185,
-0.3840969502925873,
... |
You will be given a definition of a task first, then some input of the task.
In this task you are given a short story and a question regarding that story. You must answer the question based on the events of the story. Try to use the same words in the story to answer each question. You should completely answer the quest... | Remi was bored. | 1 | NIv2 | task332_tellmewhy_answer_generation | zs_opt | [
0.015053798444569111,
0.8095619678497314,
0.22935768961906433,
-0.3898853659629822,
-0.6230162978172302,
0.056089118123054504,
0.7183862924575806,
0.34124091267585754,
-0.12682238221168518,
-0.6615201234817505,
-0.5334837436676025,
-0.5592758655548096,
-0.5091190934181213,
0.57982587814331... |
TASK DEFINITION: Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast', 'biology', 'people', 'influence', 'baseball', 'spaceflight... | music
| 8 | NIv2 | task900_freebase_qa_category_classification | fs_opt | [
0.15809595584869385,
0.43372780084609985,
-0.38447892665863037,
-0.2291119545698166,
0.40005776286125183,
0.30825698375701904,
0.593093991279602,
0.31936949491500854,
-0.05245237052440643,
0.0836217850446701,
0.2416168451309204,
-0.08259281516075134,
-0.34692099690437317,
-0.56461554765701... |
Detailed Instructions: A text is given in Tamil. Translate it from the Tamil language to the Telugu language. The translation must not omit or add information to the original sentence.
See one example below:
Problem: ఆయన తీసుకొన్న చొరవ తో అగర్తలా లో ఒక విమానాశ్రయాన్ని నిర్మించడం జరిగింది
Solution: ஒரு விமான நில... | இது உலகிலேயே மிகப் பெரிய அளவில் அரசு நிதியிலான சுகாதாரத் திட்டமாகும். | 4 | NIv2 | task1076_pib_translation_telugu_tamil | fs_opt | [
0.4980279505252838,
0.9680685997009277,
0.7110661268234253,
0.004688631743192673,
0.2989538013935089,
-0.5612367987632751,
-0.4122665524482727,
0.467387318611145,
-0.8029450178146362,
0.326846718788147,
-0.2466762661933899,
0.1996816098690033,
-0.5221564769744873,
-0.07223544269800186,
0... |
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'.
Q: Passage: As Small Heath, they played in the... | Answer: 2
****
| 4 | NIv2 | task238_iirc_answer_from_passage_answer_generation | fs_opt | [
0.5345810055732727,
0.3698679208755493,
-0.815538227558136,
0.02966395393013954,
0.98629230260849,
-0.3229072690010071,
0.9389710426330566,
0.9129345417022705,
0.10675564408302307,
-0.07736734300851822,
-0.24295172095298767,
0.7942073345184326,
-1.2345452308654785,
0.27991271018981934,
0... |
Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building ... | jump around right after look opposite left
| 3 | NIv2 | task129_scan_long_text_generation_action_command_short | fs_opt | [
0.3151601254940033,
0.6943769454956055,
-0.5547343492507935,
0.25040704011917114,
-0.062497302889823914,
0.22343884408473969,
0.03485450893640518,
0.595199704170227,
-0.36141228675842285,
-0.14575791358947754,
-0.6803679466247559,
-0.4155961871147156,
-0.687599778175354,
-0.113122671842575... |
In this task, you are given an input list A. You need to find all the elements of the list that are numbers in the same order as they appear in the list A.
Q: ['n', '9993', '5577', '541', '1693', 'Z', '7499', 'W', 'v', '2287', '9805', 'Z', 'P', 'w', 'g', '5239', 'G']
A: | 9993, 5577, 541, 1693, 7499, 2287, 9805, 5239 | 4 | NIv2 | task497_extract_all_numbers_from_list_in_order | zs_opt | [
-0.05720957741141319,
0.3251752257347107,
-0.3010789155960083,
-0.7063963413238525,
-0.01592852920293808,
0.07631731033325195,
0.7134687900543213,
-0.5215327143669128,
-0.19904929399490356,
0.35551121830940247,
-0.44407403469085693,
-0.3779188096523285,
-0.0792236328125,
0.0468842089176178... |
Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building ... | jump right twice and walk thrice | 0 | NIv2 | task127_scan_long_text_generation_action_command_all | zs_opt | [
0.14318706095218658,
0.7519699335098267,
-0.36061161756515503,
0.24097713828086853,
-0.15557926893234253,
0.44482186436653137,
0.06690122187137604,
0.7819366455078125,
-0.457156240940094,
-0.1321932077407837,
-0.619484007358551,
-0.5695880055427551,
-0.6206845045089722,
-0.1876185834407806... |
Given the task definition and input, reply with output. In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
This drink is ... | 3 | 5 | NIv2 | task588_amazonfood_rating_classification | zs_opt | [
-0.2295997142791748,
0.5266653895378113,
0.6535522937774658,
-0.3590168356895447,
0.16117872297763824,
0.1919914335012436,
0.7472327947616577,
0.05502922832965851,
0.1310814917087555,
0.23548352718353271,
-0.417085200548172,
-0.42771655321121216,
-0.8651849627494812,
-0.18663737177848816,
... |
Q: You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
what movies can be described with alan moore?
A: | V for Vendetta, Watchmen, Constantine, The League of Extraordinary Gentlemen, From Hell, The Mindscape of Alan Moore | 7 | NIv2 | task615_moviesqa_answer_generation | zs_opt | [
0.0719318836927414,
0.6986790895462036,
-0.08443565666675568,
0.2432554066181183,
-0.8516948819160461,
0.2571369409561157,
0.6255396604537964,
0.6783598065376282,
-0.16275738179683685,
-0.3571094274520874,
0.4414609372615814,
-0.2171461135149002,
-0.6924604177474976,
-0.05135645717382431,
... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Farsi.
Se quiséssemos contar cada produto e serviço disponível em Nova Iorque — existem 10 mil milhões — levaríamos 317 anos.
اگر بخواهید همه محصولات و خدمات ارایه شده در نیویورک را بشمارید — چیزی حدود ۱۰ میلیارد — تقریباً ۳۱... | من حتی یک نفرو هم نمیشتاختم.
| 0 | NIv2 | task1282_ted_translation_pt_fa | fs_opt | [
-0.9817046523094177,
1.261901617050171,
-0.40132850408554077,
-0.5594890117645264,
-0.5038905143737793,
0.07328778505325317,
0.6259390115737915,
0.653688907623291,
0.6265172958374023,
-0.10821829736232758,
-0.399594247341156,
0.6006357073783875,
-1.1645216941833496,
0.1793019026517868,
0... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
Let me give you an example: Mas o que são direitos humanos?
The answer to this example can be: ولكن ماهي حقوق الإنسان ؟
Here is why: The Portugese sentence is correctly translated into Arabic, because the meaning is p... | فينسنت: أعتقد قبل أربعة سنين ، أربعة سنين منذ رحلتي الأولى. | 8 | NIv2 | task1277_ted_translation_pt_ar | fs_opt | [
0.08095642924308777,
0.7553271055221558,
-0.17361289262771606,
-0.3766169250011444,
-0.553274393081665,
-0.217719167470932,
0.9200385808944702,
0.3064979314804077,
0.40432295203208923,
0.1353222280740738,
-1.111729383468628,
-0.3097321391105652,
-0.796866774559021,
-0.0016499266494065523,
... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a sentence in the English language and your task is to convert English sentence into the Gujarati language.
Example: A herd of sheep standing together grazing in a pasture.
Output: ઘેટાંની ટોળાં એક ગોચરમાં ચરાઈ સાથે... | રાત્રે એક શહેરની શેરીમાં ઉપર અને નીચે કારની ખુલ્લી શટરની ચિત્ર. | 1 | NIv2 | task438_eng_guj_parallel_corpus_en_gu_translation | fs_opt | [
-0.8286069631576538,
0.21542882919311523,
0.2878073453903198,
0.1874140501022339,
0.14753147959709167,
-0.15974348783493042,
-0.21280263364315033,
0.3466072678565979,
-0.20660609006881714,
-0.4498041570186615,
-0.6478419899940491,
0.1612551510334015,
-0.32019782066345215,
-0.14041370153427... |
In this task, you will be given a sentence in the Indonesian language(Bahasa variant). Your job is to convert it into the English language.
Q: Apa yang benar-benar menjadi perhatian kami adalah penerapan segera dari resolusi tersebut dalam kehidupan nyata.
A: | What really concerns us the most is the immediate applicability of the resolution on ground. | 4 | NIv2 | task543_alt_translation_bh_en | zs_opt | [
-0.20699432492256165,
1.0984876155853271,
0.7137413024902344,
-0.39161908626556396,
-0.5056264996528625,
-1.1136277914047241,
1.0268383026123047,
0.1862466037273407,
0.6051388382911682,
-0.2558879852294922,
-0.2006741166114807,
0.35795506834983826,
-0.5951777696609497,
0.11669860780239105,... |
You will be given a context, a subject and a relation. Your task is to generate a question based on the subject and relation. The generated question should include the given subject. Try to use a minimum number of words that are not present in either context, subject or relation while generating question.
One example i... | Which is the basis of Decameron Nights? | 9 | NIv2 | task1325_qa_zre_question_generation_on_subject_relation | fs_opt | [
0.6224258542060852,
0.29982998967170715,
-0.395808607339859,
-0.09506577253341675,
-0.500993013381958,
-0.2652569115161896,
1.1627453565597534,
0.7751840949058533,
0.14231136441230774,
-0.007781537249684334,
-0.006906192749738693,
1.0001662969589233,
-1.2969979047775269,
0.3058046698570251... |
Given the task definition and input, reply with output. In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the numerical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if... | 2, 3, 4, 6, 7, 8, 10, 11, 13, 15 | 5 | NIv2 | task507_position_of_all_numerical_elements_in_list | zs_opt | [
-0.13415026664733887,
0.45591235160827637,
-0.005259943660348654,
-0.7050267457962036,
0.463922381401062,
0.009493951685726643,
0.4782916009426117,
0.1447831094264984,
-0.3954288959503174,
0.07648898661136627,
-0.8434600830078125,
0.2431642711162567,
-0.13041341304779053,
-0.15636253356933... |
Teacher: Given a comment text in Tamil, classify the comment into one of these categories (i) Hope speech, if it contains encouraging, positive or supportive contents about equality, diversity or inclusion, (ii) Not Hope Speech or (iii) Not in Expected Language, if the text is not Tamil.
Teacher: Now, understand the pr... | Not in Expected Language | 2 | NIv2 | task680_hope_edi_tamil_text_classification | fs_opt | [
0.1658320128917694,
-0.207736998796463,
0.44566798210144043,
0.4636232256889343,
0.3105062246322632,
-1.0172836780548096,
-0.5103217363357544,
0.8296419382095337,
-0.48161041736602783,
0.09747779369354248,
-0.05756412446498871,
0.28972315788269043,
-0.2153829038143158,
-0.11851176619529724... |
You will be given a definition of a task first, then some input of the task.
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'.
Tim... | False | 1 | NIv2 | task116_com2sense_commonsense_reasoning | zs_opt | [
-0.7381843328475952,
0.18367606401443481,
-0.06913331896066666,
0.006663947366178036,
-0.3244149684906006,
0.06503789126873016,
0.2643067240715027,
1.0969164371490479,
0.3097826838493347,
0.2699832618236542,
-0.3485375642776489,
0.15723006427288055,
0.11991603672504425,
-0.1998482942581176... |
Teacher:Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
Teacher: Now, understand the problem? Solve this instance: When did the formation of the Peel Boundary Fault oh sorry, the Holocene Rhine-Meuse delta begin?
Student: | When did the formation of the Holocene Rhine-Meuse delta begin? | 6 | NIv2 | task1195_disflqa_disfluent_to_fluent_conversion | zs_opt | [
-0.6181928515434265,
1.2092289924621582,
0.12077023088932037,
0.10389913618564606,
-0.468061625957489,
-0.35939037799835205,
-0.01432759128510952,
0.5903710722923279,
0.16608211398124695,
-0.5921895503997803,
-0.23753990232944489,
-0.6120871305465698,
-0.6413458585739136,
-0.33775806427001... |
Definition: In this task you are given a story and a question regarding that story. You must judge whether the question is answerable based on the info given to you. Label the instances as "Answerable" or "Not Answerable" based on your judgment. the story and the question are separated by a new line character.
Input: H... | Answerable | 2 | NIv2 | task290_tellmewhy_question_answerability | zs_opt | [
0.1883552521467209,
0.13379135727882385,
0.38947203755378723,
-0.1670665144920349,
-0.5519653558731079,
-1.1172785758972168,
0.3196997344493866,
0.3387911915779114,
-0.07199409604072571,
-0.23606063425540924,
-0.4553477168083191,
-0.1879955530166626,
-0.2531417906284332,
0.2909637689590454... |
In this task, you will be given a movie review and a question about the reviewer's sentiment toward one aspect of the movie in Persian. You have to infer the answer to the question from the review and classify it. Classify the reviewer's sentiment into: "no sentiment expressed", "negative", "neutral", "positive", and "... | positive | 4 | NIv2 | task525_parsinlu_movie_aspect_classification | zs_opt | [
-0.7393989562988281,
0.2537074685096741,
-0.07850642502307892,
0.05055573210120201,
-0.04176398366689682,
0.23302112519741058,
1.171452522277832,
0.7448142766952515,
0.41256096959114075,
-0.09866699576377869,
-0.23505163192749023,
0.03275063633918762,
-0.7701272964477539,
0.352195382118225... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
Zjawiają się nieoczekiwanie i często nagle się zmieniają. | Son bastante repentinas e cambian de súpeto. | 0 | NIv2 | task1261_ted_translation_pl_gl | zs_opt | [
-1.2372292280197144,
0.9231436252593994,
-0.11561734229326248,
-0.5006371140480042,
-0.10392152518033981,
-0.91270911693573,
0.5102834701538086,
-0.383589506149292,
-0.03116411156952381,
-0.2065839171409607,
-0.5407810211181641,
-0.12608285248279572,
-1.1931483745574951,
0.2793477177619934... |
Teacher:In this task, you are given a sentence in the Hindi language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Teacher: Now, understand the problem? Solve this instance: डच रक्षा ... | "We therefore assume it was an accident," said the Dutch Defense Ministry. | 6 | NIv2 | task433_alt_hi_en_translation | zs_opt | [
-0.554830014705658,
0.5795633792877197,
0.8914541602134705,
-0.972074031829834,
0.29300814867019653,
-0.30853378772735596,
0.9472669363021851,
0.47500449419021606,
0.15123072266578674,
-0.22406606376171112,
-0.49054819345474243,
0.1295304000377655,
-0.732406735420227,
-0.18637648224830627,... |
Detailed Instructions: Given a paragraph, generate a claim that is supported by the given paragraph. 1) The claim must contain information from within the paragraph. 2) A sentence within the paragraph can be used as a claim. 3) The claim should not have contradictions within the paragraph. 4) The claim should be at mos... | Jane Fonda uses 80th birthday to help others with fundraiser. | 8 | NIv2 | task1368_healthfact_sentence_generation | zs_opt | [
0.3070775866508484,
0.6403790712356567,
-0.15273669362068176,
-0.15696188807487488,
0.3174832761287689,
-0.20679783821105957,
-0.17149558663368225,
1.5982778072357178,
-0.2773128151893616,
0.6464788317680359,
0.04989258572459221,
0.47968590259552,
-0.6133860945701599,
-0.3365495204925537,
... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Arabic.
See one example below:
Problem: (Applause) However there is a political battle in our country.
Solution: (تصفيق) ومع ذلك هناك معارك سياسية في بلدنا.
Explanation: The English sentence is correctly trans... | هذا والدي في ال19 من عمره | 4 | NIv2 | task1220_ted_translation_en_ar | fs_opt | [
0.2864488661289215,
0.5993351936340332,
0.34000861644744873,
-1.2593129873275757,
-0.5841736197471619,
-0.4306730628013611,
1.0178859233856201,
0.10541152954101562,
0.690162718296051,
0.20497861504554749,
-0.6814916133880615,
0.40004679560661316,
-1.299795150756836,
0.06120876967906952,
... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to collate all the alphabetical elements at the start of the list followed by all the numerical elements of the list. Maintain the order in which the alphabetical elements appear in the given input... | g, B, e, w, F, 9009
****
| 4 | NIv2 | task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately | fs_opt | [
0.46608930826187134,
0.29772377014160156,
-0.640114963054657,
0.2734376788139343,
0.48546141386032104,
-1.2027757167816162,
0.4443173408508301,
0.4703625738620758,
-0.8775452971458435,
0.9643483757972717,
-1.0002522468566895,
-0.349722683429718,
0.13682645559310913,
0.05760067328810692,
... |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the ev... | No | 9 | NIv2 | task1204_atomic_classification_hinderedby | zs_opt | [
0.8711150884628296,
0.4405384659767151,
0.12131084501743317,
-0.11303487420082092,
-0.45826154947280884,
-1.4313870668411255,
0.5938715934753418,
0.19604982435703278,
-0.719466507434845,
-0.021751120686531067,
-0.29878056049346924,
-0.3027051091194153,
-0.5060343146324158,
0.18604996800422... |
Teacher:You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Japanese.
Teacher: Now, understand the problem? Solve this instance: Era a primeira vez que fazíamos isto.
Student: | これは初めての試みで誰もパソコン上での | 6 | NIv2 | task1275_ted_translation_pt_ja | zs_opt | [
0.232273668050766,
0.3091758191585541,
0.4306892454624176,
-0.21579477190971375,
-0.0022241747938096523,
-0.49180868268013,
0.889786958694458,
0.49303919076919556,
0.6317408084869385,
-0.2778806984424591,
-0.47542598843574524,
-0.7270058989524841,
-0.12520070374011993,
-0.46033763885498047... |
Given a sentence in Igbo language, translate the sentence to English language keeping the meaning of the original sentence intact
Q: Igbo sentence: M na-dị nnọọ na-ekpe ekpere maka udo na ikpe ziri ezi mmadụ.. #CrazyWorld
A: | I'm just praying for peace and justice man.. #CrazyWorld | 4 | NIv2 | task449_opus_paracrawl_ig_en_translation | zs_opt | [
-0.04695846512913704,
0.4745350480079651,
-0.46133244037628174,
-0.5324536561965942,
-0.6066111326217651,
-1.2155107259750366,
0.6832959651947021,
-0.20554201304912567,
-0.22425368428230286,
-0.8020142316818237,
-0.26466161012649536,
0.1798216849565506,
-0.19601327180862427,
0.184075266122... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options th... | 1a, 4b | 1 | NIv2 | task222_rocstories_two_chioce_slotting_classification | fs_opt | [
0.2430366426706314,
0.36344844102859497,
-0.35639041662216187,
0.7165831923484802,
0.12444326281547546,
0.3420761227607727,
0.4587269425392151,
0.8279414176940918,
-0.0940307006239891,
0.37210771441459656,
-0.5576212406158447,
0.4282349646091461,
0.325662225484848,
0.030509278178215027,
... |
In this task you are given a list of numbers and you need to find the average of each two consecutive values. The average of two numbers a and b is calculated as: (a + b) /2. The output should be a list of the averages of each two consecutive values. A list is presented with two brackets and comma-separated values, lik... | [-42.5]
| 5 | NIv2 | task124_conala_pair_averages | fs_opt | [
-0.5950156450271606,
0.30766600370407104,
-0.6488873958587646,
-0.47788479924201965,
-0.18377700448036194,
0.34236887097358704,
0.7099848985671997,
0.4236209988594055,
-0.12044253200292587,
-0.2069735825061798,
-0.8619624376296997,
-0.38177597522735596,
-0.019034340977668762,
0.17344221472... |
Teacher:In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the gendered pronouns in the text and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable.
Teach... | Identifiable | 6 | NIv2 | task351_winomt_classification_gender_identifiability_anti | zs_opt | [
-1.046994686126709,
0.35167795419692993,
0.024266261607408524,
-0.5965025424957275,
0.3557588458061218,
-0.14565815031528473,
-0.7204433679580688,
0.6717153191566467,
0.6764070987701416,
-0.33175966143608093,
-0.8304741382598877,
-0.17408044636249542,
-0.6876920461654663,
-0.71443784236907... |
Q: In this task, you're given an article, a question which often contains a blank and four options (associated with "A", "B", "C", "D"). Your task is to find the correct answer (from the given options) for the question from the given article and return one of the options from "A", "B", "C", and "D". Do not generate any... | B | 7 | NIv2 | task309_race_answer_generation | zs_opt | [
0.6577422618865967,
0.4600910246372223,
-0.8878697156906128,
-0.3080325722694397,
-0.2631189227104187,
-0.4853651821613312,
0.20193035900592804,
0.9030521512031555,
0.34877321124076843,
0.34113967418670654,
-0.379518985748291,
0.6129410266876221,
-0.32441139221191406,
-0.163478821516037,
... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Galician. Your job is to translate the Galician sentence into Portugese.
A miña única arma era o meu caderno e a miña Leica.
Output: | A minha única arma era o meu portátil e a minha Leica. | 1 | NIv2 | task1246_ted_translation_gl_pt | zs_opt | [
-0.7477008104324341,
0.9994500875473022,
-0.37193936109542847,
-0.7816585302352905,
0.12178455293178558,
-0.6555219888687134,
-0.048084087669849396,
1.1530183553695679,
0.28071358799934387,
-0.01814757101237774,
-0.4594787061214447,
-0.12857457995414734,
-0.7302635908126831,
0.068156376481... |
You will be given a definition of a task first, then some input of the task.
You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
Category: WINTER ... | spring | 1 | NIv2 | task308_jeopardy_answer_generation_all | zs_opt | [
-0.8780876994132996,
1.1265709400177002,
0.17226442694664001,
-0.3036353588104248,
0.35519105195999146,
-0.0941152423620224,
0.6609963178634644,
0.012660346925258636,
0.5318633913993835,
0.04575706273317337,
-0.5360453128814697,
0.09856472164392471,
-0.5174719095230103,
-0.0383417531847953... |
Given the task definition and input, reply with output. In this task you are given a sentence pair from wikipedia that have high lexical overlap. If the sentences have the same meaning and are just paraphrases of each other label them as "Paraphrase" , if not label them as "Not paraphrase". The two sentences are sepera... | Not paraphrase | 5 | NIv2 | task400_paws_paraphrase_classification | zs_opt | [
-0.7768400311470032,
0.9703711867332458,
0.44948506355285645,
-0.1408684253692627,
-0.5878608822822571,
-0.08628679811954498,
1.0224692821502686,
0.6731606721878052,
0.5161762833595276,
-0.16514334082603455,
-0.18932750821113586,
0.43802815675735474,
-0.7324613332748413,
0.0866866782307624... |
You are given a statement written in Marathi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: मराठी भाषेच्या प्रचाराच्या दीर्घ सेवेबद्दल अॅड. दातार यांना सन्मित्रकार स.पां. जोशी स्मृती पुरस्कार द... | लोकसत्ता | 0 | NIv2 | task950_wiki_cloze_mr_multiple_choice_question_answering | zs_opt | [
-0.26084840297698975,
0.32006967067718506,
-0.34617388248443604,
-0.007155064959079027,
-0.507006049156189,
-0.8315552473068237,
0.3689867854118347,
0.5334377288818359,
0.5543093681335449,
-0.271725058555603,
-0.5465819835662842,
0.19303369522094727,
0.038221169263124466,
-0.41341561079025... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.
Q: (Risas) "" Compren helados para todos "".
A: (خنده) یا "" برو برای بقیه بستنی یخی بخر. ""
****
Q: Espero que eso les dé una idea de las posibilidades que hay en estos nuevos métodos de enseñanza.
A: حالا ، امیدوارم که ا... | و به خاطر داشته باشید ، بعضی اوقات چیزهایی که انتظارش را ندارید بزرگترین تغییرات را ایجاد کنند.
****
| 4 | NIv2 | task1103_ted_translation_es_fa | fs_opt | [
0.10269223153591156,
0.4083140194416046,
-0.14861732721328735,
-0.3384235203266144,
-0.28925466537475586,
-0.5673969984054565,
0.562274158000946,
0.41471144556999207,
0.4255862832069397,
-1.2788267135620117,
-0.7400579452514648,
0.20012421905994415,
-0.027826281264424324,
0.487153112888336... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.
ちなみに人間とボノボだけがお互いの顔を見ながら性交しますもちろん両者が生きたままね・・・
Output: | Los humanos y los bonobos son los únicos animales que tienen sexo cara a cara cuando ambos están vivos. | 1 | NIv2 | task1223_ted_translation_ja_es | zs_opt | [
-0.10501907020807266,
0.30206039547920227,
-0.09481137990951538,
-0.43804240226745605,
-0.39751386642456055,
0.534390926361084,
0.5501521825790405,
0.15797463059425354,
0.20370881259441376,
-0.6947109699249268,
-0.12151972949504852,
-0.18426550924777985,
-0.10290102660655975,
0.03405432403... |
Detailed Instructions: 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 ... | PersonX doesn't have as healthy of an immune system than PersonY because _ doesn't take herbal supplements daily. | 9 | NIv2 | task032_winogrande_question_generation_person | zs_opt | [
0.35431092977523804,
0.9013203382492065,
0.10669462382793427,
-0.4968472123146057,
-0.14712297916412354,
-1.2520097494125366,
0.7291169762611389,
0.17669904232025146,
-0.03507697582244873,
-0.6800821423530579,
-0.2575681507587433,
0.18535423278808594,
-0.6978157162666321,
0.330967485904693... |
In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given two options and you need to select the one that best connects the first sentence with the rest of the story. Indicate your answer by 'Option 1' if the first option is correct, otherwise 'Optio... | Option 2
| 0 | NIv2 | task065_timetravel_consistent_sentence_classification | fs_opt | [
-0.11033245921134949,
0.3541664481163025,
-0.2995898723602295,
0.19755369424819946,
0.056042060256004333,
-0.4621880054473877,
0.49020522832870483,
1.3268589973449707,
0.21175500750541687,
0.11650446057319641,
-0.48407721519470215,
0.27496975660324097,
-0.34088167548179626,
-0.024775132536... |
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is.
Ex Input:
His this speech became basis of the announcement letter of Progressive Movement.
Ex Output:
उनका यही भाषण प्रगतिशील आंदोलन के घोषणा पत्र का आधार बना।
... | जब शिवशंकर से कहा गया कि यह मादाम की इच्छा है तो उन्होंने उस पर मुहर लगा दी क्योंकि उन्हें नहीं मालूम था कि केरल में 10 , जनपथ के आरक्षण जैसी कोई चीज नहीं है ।
| 1 | NIv2 | task425_hindienglish_corpora_en_hi_translation | fs_opt | [
0.9781607389450073,
0.24334999918937683,
0.01937560923397541,
0.539893388748169,
-0.24786882102489471,
-1.2452621459960938,
0.07811462134122849,
0.7783831357955933,
-0.6470432281494141,
0.40591228008270264,
-0.20735575258731842,
0.3541111946105957,
-0.7459285259246826,
-0.41581639647483826... |
You will be given a definition of a task first, then some input of the task.
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 enti... | b | 1 | NIv2 | task233_iirc_link_exists_classification | zs_opt | [
0.46491295099258423,
0.08705320954322815,
-0.2719503939151764,
-0.07916362583637238,
1.1688282489776611,
-0.3429751992225647,
0.5118870735168457,
0.6685898900032043,
-0.5447357892990112,
0.5582031607627869,
0.3038594126701355,
0.2778254747390747,
-0.5971386432647705,
0.05223791301250458,
... |
In this task you are given a tweet. You must judge whether the tweet is ironic or not. We define two type of irony for this task ("polarity","situational"). Situational irony happens when a situation fails to meet some expectations. polarity irony happens when irony is achieved by inverting the intended sentence. Label... | ironic
| 6 | NIv2 | task386_semeval_2018_task3_irony_detection | fs_opt | [
-0.7876766324043274,
0.38564732670783997,
0.6383684873580933,
0.2499101310968399,
-0.08736859261989594,
-0.3431186079978943,
-0.08466444909572601,
0.5591005086898804,
0.7545794248580933,
0.006915901321917772,
-0.1775967925786972,
-0.38305285573005676,
-0.47140979766845703,
-0.6676615476608... |
Given a comment text in Tamil, classify the comment into one of these categories (i) Hope speech, if it contains encouraging, positive or supportive contents about equality, diversity or inclusion, (ii) Not Hope Speech or (iii) Not in Expected Language, if the text is not Tamil.
--------
Question: MG ku cough ah.....
... | Not Hope Speech
| 7 | NIv2 | task680_hope_edi_tamil_text_classification | fs_opt | [
-0.5133756399154663,
0.011024155654013157,
0.75471431016922,
0.07774905860424042,
-0.12250678241252899,
-0.843327522277832,
-0.4481741487979889,
0.5754856467247009,
-1.0834743976593018,
0.5644784569740295,
-0.15617597103118896,
-0.1881641000509262,
0.24046550691127777,
-0.6491192579269409,... |
In this task, you're given a short story of five sentences written in natural language. However, the order of the given story is not correct. Your job is to return the correct order for the given five sentences to create a coherent short story with the new order that has the correct flow. Generate your answer using the... | 25341 | 4 | NIv2 | task300_storycloze_order_generation | zs_opt | [
-0.010049383156001568,
0.7494257092475891,
0.025785788893699646,
-0.5605721473693848,
-0.5274853110313416,
-0.24838599562644958,
0.5173296332359314,
0.1268180012702942,
-0.0774349570274353,
0.02822006680071354,
-0.6707630157470703,
-0.8966431021690369,
-0.8795588612556458,
0.03403151035308... |
In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative.
Let me give you an example: This is my go to place to get the best chicken Pad Thai! Also the price is super g... | POSITIVE | 8 | NIv2 | task475_yelp_polarity_classification | fs_opt | [
-1.0987852811813354,
0.11897500604391098,
0.45078128576278687,
0.5610106587409973,
0.6913473606109619,
-0.5294696092605591,
0.06650541722774506,
0.7947344183921814,
0.4163017272949219,
0.3141166567802429,
0.4971114695072174,
0.3324059247970581,
-0.7102816104888916,
0.3579626977443695,
0.... |
Instructions: 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. Remem... | His addiction made him put all the pills from his bottle into his mouth, until the _ was full. | 3 | NIv2 | task034_winogrande_question_modification_object | zs_opt | [
0.6689577102661133,
0.2862659692764282,
0.13380646705627441,
-0.3705039620399475,
0.490512877702713,
-0.7474778890609741,
0.8996559381484985,
1.078176498413086,
-0.6758735179901123,
-0.3802279531955719,
-0.5989679098129272,
0.33444103598594666,
-0.4658544957637787,
-0.12816578149795532,
... |
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 set of four words, generate the category that the words belong to. Words are separated by commas. The possible categories are social gathering, accomodation, physical property, measurement un... | emotional status | 0 | NIv2 | task143_odd-man-out_classification_generate_category | fs_opt | [
0.1666325032711029,
-0.14987751841545105,
-0.5847799777984619,
0.4218088388442993,
0.369096040725708,
-0.1683170199394226,
-0.2862818241119385,
0.9018211364746094,
0.15375539660453796,
0.004655911587178707,
-0.5886127948760986,
0.04128987342119217,
-0.10893846303224564,
-0.222468763589859,... |
Q: 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'.
Andrew and Jack will be playing football on opposing teams. Andrew will more l... | False | 7 | NIv2 | task116_com2sense_commonsense_reasoning | zs_opt | [
-0.7651315927505493,
0.1954629123210907,
-0.41795122623443604,
0.43631407618522644,
-0.332469642162323,
-0.981425404548645,
0.549468994140625,
0.42456284165382385,
-0.14039045572280884,
-0.026584569364786148,
-0.49735796451568604,
-0.4204179346561432,
-0.38358038663864136,
0.26926273107528... |
In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Furthermore, the basic seq2seq assumes a strict order between generated tokens, but in reality, we should not severely punish the model when it predicts the... | daily newspaper of the year 2015-2016
| 0 | NIv2 | task460_qasper_answer_generation | fs_opt | [
-0.5020637512207031,
-0.016061849892139435,
0.037307269871234894,
-0.19159281253814697,
-0.13281717896461487,
-0.48310407996177673,
0.4168212413787842,
0.40004962682724,
0.31524351239204407,
-0.25218868255615234,
-0.631700873374939,
-0.08041505515575409,
-0.6841875314712524,
0.486879497766... |
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.
Context: Support our work to help the... | why have children and families been hurt? | 0 | NIv2 | task240_tweetqa_question_generation | zs_opt | [
-0.35485613346099854,
0.6497396230697632,
0.042269110679626465,
0.33418965339660645,
0.009779982268810272,
-0.6419368386268616,
0.9100161194801331,
0.8153128623962402,
-0.15917527675628662,
0.4108862578868866,
-0.0408497080206871,
0.05670373886823654,
-0.49696362018585205,
-0.3348569273948... |
Instructions: Craft one correct answer to the question given in input. To make it more interesting, try to use non-stereotypical language if possible. Make sure your correct answer is reasonably long, consistent with the context, and requires common sense (instead of explicit extraction from the context.) In your answe... | He does n't plan to get rid of something that he himself uses. | 3 | NIv2 | task024_cosmosqa_answer_generation | zs_opt | [
0.4309486746788025,
0.38174426555633545,
0.06402899324893951,
0.15323194861412048,
0.8812693357467651,
-0.4886943995952606,
0.5344154238700867,
0.5518791675567627,
-0.3579901456832886,
0.15672585368156433,
-0.3050938844680786,
0.11695453524589539,
-1.3236713409423828,
-0.5914167761802673,
... |
instruction:
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to concatenate all elements of A from the ith element to the jth element, and print the resultant string. i and j will be non-negative, and will always have a value less than the length of A. i will always b... | 553g929i4719221m519I
| 9 | NIv2 | task100_concatenate_all_elements_from_index_i_to_j | fs_opt | [
-0.1772071272134781,
0.3932029902935028,
-0.6332929134368896,
-0.5663986206054688,
-0.38353943824768066,
-0.41598644852638245,
0.8275724649429321,
0.089010089635849,
-0.37271878123283386,
0.26356106996536255,
-1.08811354637146,
0.34073591232299805,
-0.12058150768280029,
-0.1470215916633606... |
Detailed Instructions: This task is about translating a given Spanish language sentence to English.
Problem:Tenemos que detenernos. żDetenernos? żPor qué? La nińa está mala.
Solution: | Give the baby to the first Daikini you see. then hury home. | 8 | NIv2 | task1692_qed_amara_translation | zs_opt | [
-0.11353732645511627,
0.8772939443588257,
0.6902774572372437,
-0.3020792007446289,
-0.5686972737312317,
-0.3970707952976227,
0.0015493954997509718,
0.8492291569709778,
0.24992819130420685,
0.32332271337509155,
-0.2889932096004486,
0.3865710198879242,
-1.1449365615844727,
-0.210090339183807... |
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