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 |
|---|---|---|---|---|---|---|
In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected sentence.
Statement: This bill, however, is distinguishable because it limits... | 1
| 0 | NIv2 | task202_mnli_contradiction_classification | fs_opt | [
-0.1285030096769333,
0.03304058685898781,
-0.49766939878463745,
0.13423778116703033,
-0.2550821304321289,
-1.0846595764160156,
0.6780792474746704,
1.028739333152771,
-0.427767276763916,
0.1492421180009842,
-0.7703877687454224,
0.2973165214061737,
-0.3150175213813782,
-0.11773498356342316,
... |
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... | [297, 114, 48, 18, 24, 66, 102, 72, 57, 24, 24] | 3 | NIv2 | task374_synthetic_pos_or_neg_calculation | fs_opt | [
-0.4013000726699829,
0.5083529949188232,
-0.2938265800476074,
-0.1592881679534912,
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1.2630609273910522,
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0.14468206465244293,
-0.5340680480003357,
0.5622289180755615,
-0.47749701142311096,
-0.314613610506057... |
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 The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ).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
| 5 | NIv2 | task1206_atomic_classification_isbefore | fs_opt | [
0.5050032138824463,
0.34901612997055054,
0.07017768919467926,
-0.1481913924217224,
-0.5929505228996277,
-0.7363614439964294,
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-0.49335378408432007,
-0.27879828214645386,
-0.7897621989250183,
-0.007757124491035... |
TASK DEFINITION: Given a paragraph about cooking, and a set of conversational questions and answers about the paragraph, say whether the passage contains sufficient information to answer the follow-up question. Say Yes if it is answerable; otherwise, say No. The paragraph has the prefix 'CONTEXT:'. Each conversation qu... | No
| 8 | NIv2 | task1439_doqa_cooking_isanswerable | fs_opt | [
1.3080863952636719,
-0.14185330271720886,
-0.27624380588531494,
0.43123626708984375,
0.9031108617782593,
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0.5709370374679565,
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-0.8246772289276123,
0.47065412998199463,... |
Definition: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You ha... | No | 2 | NIv2 | task1211_atomic_classification_hassubevent | zs_opt | [
0.23626896739006042,
0.18170498311519623,
0.1260324865579605,
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-0.4841076135635376,
-0.5728701949119568,
-1.115586280822754,
0.3037831783294678,... |
Given the task definition, example input & output, solve the new input case.
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... | A man is a player in a basketball game. | 1 | NIv2 | task188_snli_neutral_to_entailment_text_modification | fs_opt | [
0.06408543884754181,
0.7280782461166382,
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-0.13669148087501526,
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-0.2829383313655853,
-0.5728253126144409,
-0.1344553828239441,
-0.1718253344297409,
-0.256686538457870... |
Instructions: Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third is when an ind... | red_bottle | 3 | NIv2 | task152_tomqa_find_location_easy_noise | zs_opt | [
-0.5107436180114746,
0.04850871115922928,
0.0723363384604454,
-0.7060325145721436,
-0.5191063284873962,
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-0.27353259921073914,
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-0.07261932641267776,
-0.2445262223482132,
0.37775617837905884,
0.052864253520965576,
-0.2521054446697... |
In this task, you are to Translate German text to English
[Q]: Durch die Anordnung der Fräs- und Brecherwerkzeuge (2) auf der Stirnseite und dem Umfang der Frästrommel wird der gelöste Boden in Richtung auf die nachfolgende Mischtrommel bewegt.
[A]: By disposing the cutting and breaking tools (2) at the front and peri... | The invention also relates to an oxide cathode.
| 5 | NIv2 | task841_para_pdt_de_en_translation | fs_opt | [
-0.15918408334255219,
0.6355708241462708,
-0.9109809994697571,
0.36303505301475525,
-0.11055620014667511,
-0.229969322681427,
0.5406975746154785,
0.6549676656723022,
-0.0760577917098999,
0.6250035762786865,
-0.8212147951126099,
0.16828525066375732,
-0.13618862628936768,
0.04974846541881561... |
Given a sentence in German, generate a new German sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it bei... | Sie werden wahrscheinlich ein Puzzle in einem Strand zu finden. | 4 | NIv2 | task416_mickey_de_sentence_perturbation_generation | zs_opt | [
-0.43609386682510376,
0.7677880525588989,
0.24889947474002838,
-0.26559343934059143,
0.0031319493427872658,
-0.07381168007850647,
1.1101711988449097,
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-0.6287053227424622,
-0.7713109254837036,
0.09291394054889679,
-1.1020724773406982,
0.3028987050056... |
Definition: In this task, you are given a paragraph, a question, and a candidate incorrect answer to the question. Your goal is to judge whether the provided answer is a valid incorrect answer to a given question. An incorrect answer should not truthfully answer the given question. A good incorrect answer should be clo... | Yes. | 2 | NIv2 | task057_multirc_classify_incorrect_answer | zs_opt | [
0.5726234912872314,
0.36531057953834534,
-0.35505130887031555,
0.5113770365715027,
0.15392190217971802,
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-0.013089231215417385,
-0.8180140256881714,
0.44016197323799133,
-0.5147518515586853,
-0.022401735186... |
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 short summary of the given review in the input. Note that you don't need to write a complete sentence as a summary.
This is an OK hot cocoa. I had been using Land O'Lakes ... | So so | 5 | NIv2 | task589_amazonfood_summary_text_generation | zs_opt | [
-0.5989958643913269,
0.8541280627250671,
0.18086472153663635,
-0.3954373002052307,
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0.25108757615089417,
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0.16909700632095337,
-0.13744980096817017,
-0.3550777733325958,
-0.5263837575912476,
0.08202007412910... |
Detailed Instructions: In this task, you are given two simple actions (associated with "A", "B"). You must identify which action is considered less ethical. Do not generate anything else apart from one of the following characters: 'A', 'B'.
Q: (A) being sarcastic out loud during class
(B) not wanting to celebrate my mo... | B | 9 | NIv2 | task106_scruples_ethical_judgment | zs_opt | [
-0.016484994441270828,
0.677812933921814,
0.3350803852081299,
-0.5469147562980652,
-0.6020765900611877,
-0.5597326755523682,
-0.35283172130584717,
0.8127766847610474,
0.4052306115627289,
0.6879278421401978,
0.06503622233867645,
-0.1979028582572937,
0.06729535758495331,
-0.9908422231674194,... |
In this task, you are given a set of context paragraph and some supporting facts to answer a question. Your task is to generate answer for given question based on set of context paragraphs and supporting facts.
Context_1 : Nicola Sutter (born 5 May 1995) is a Swiss professional footballer who currently plays as a midf... | The Tiber
| 0 | NIv2 | task170_hotpotqa_answer_generation | fs_opt | [
0.35986822843551636,
0.5482368469238281,
-1.1678988933563232,
0.08554942905902863,
0.8199512958526611,
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0.306186705827713,
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0.038071561604738235,
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-0.44073837995529175,
0.9252238273620605,
-0.9063698053359985,
0.4240798354148865,
... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
See one example below:
Problem: Pero comenzamos con la idea de un niño por vez.
Solution: אבל התחלנו לממש את הרעיון של ללמד כל ילד בנפרד.
Explanation: The Spanish sentence is correctly translated into ... | ישנם ראיות לכך שהמשובים החיוביים האלו כבר התחילו. | 4 | NIv2 | task1229_ted_translation_es_he | fs_opt | [
-0.38416245579719543,
0.46949121356010437,
0.11515721678733826,
-0.4403759241104126,
-0.5097439289093018,
0.024541916325688362,
1.2318899631500244,
0.8605252504348755,
0.6205967664718628,
-0.4853348731994629,
-0.22643926739692688,
0.3260858952999115,
-1.220075011253357,
0.23882785439491272... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
Let me give you an example: Pero comenzamos con la idea de un niño por vez.
The answer to this example can be: אבל התחלנו לממש את הרעיון של ללמד כל ילד בנפרד.
Here is why: The Spanish sentence is correctly translated into H... | הם לא חייבים לגרום להרס גלובלי. | 8 | NIv2 | task1229_ted_translation_es_he | fs_opt | [
-0.834804892539978,
0.8221209049224854,
0.41058090329170227,
0.004394608549773693,
-0.7025974988937378,
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0.7517447471618652,
0.5648964047431946,
0.3929656744003296,
-0.31117939949035645,
-0.32411718368530273,
0.28953051567077637,
-1.087280511856079,
0.01390069536864757... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Q: To samo robiliśmy w latach 50. i ponieśliśmy klęskę.
A: | وهو ما حدث بالضبط في الخمسينيات فعاد عندها المسعى بنتائج عكسية | 4 | NIv2 | task1259_ted_translation_pl_ar | zs_opt | [
-0.9659589529037476,
0.7380541563034058,
0.11638833582401276,
-0.5189849138259888,
0.056763894855976105,
0.018995210528373718,
1.3926364183425903,
-0.2544870376586914,
0.970676600933075,
0.3417453169822693,
-0.443665087223053,
0.24574194848537445,
-1.2887396812438965,
0.7620612978935242,
... |
In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'.
Dialogue 1: 'then get lost i don't know why you be that mean to me don't msg me'. Dialogue 2: 'upse... | no | 0 | NIv2 | task518_emo_different_dialogue_emotions | zs_opt | [
-0.6399246454238892,
0.30262070894241333,
0.37452179193496704,
-0.7904519438743591,
-0.08512979000806808,
0.5217810869216919,
1.0944945812225342,
-0.1504582166671753,
-0.09471321105957031,
-0.4456424117088318,
-0.048780620098114014,
-0.8883634209632874,
-0.6699101328849792,
0.3115372061729... |
Q: You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
Pochodzą z tych komórek.
A: | Proveñen destas células. | 7 | NIv2 | task1261_ted_translation_pl_gl | zs_opt | [
-0.802814245223999,
1.1339937448501587,
-0.20151576399803162,
-0.40759626030921936,
0.11859631538391113,
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0.026073841378092766,
-0.2528158724308014,
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-0.46642014384269714,
-0.48703259229660034,
0.5352139472961426,
-0.47464799880981445,
0.542131900787... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Write an incorrect answer to the given question based on the associated fact. You are also provided with the correct answer to the given question. Make sure that your incorrect answer is relevant and... | get hurt. | 0 | NIv2 | task042_qasc_incorrect_option_generation | fs_opt | [
-0.30735498666763306,
0.5556106567382812,
-0.27768224477767944,
0.4938011169433594,
0.01503509096801281,
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0.7884411811828613,
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0.003829978872090578,
-1.1282875537872314,
0.33642715215682983,
-0.49626606702804565,
-0.019504657015... |
Instructions: In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original" or "Cha... | Original | 3 | NIv2 | task515_senteval_odd_word_out | zs_opt | [
-0.34639084339141846,
1.13114595413208,
0.16468727588653564,
-0.7885884046554565,
-0.04828810691833496,
-0.6127450466156006,
0.2048371136188507,
0.6739305853843689,
0.46007513999938965,
-0.24168354272842407,
-0.48780131340026855,
-0.5560142993927002,
-1.092841625213623,
-0.1682575345039367... |
In this task, you're given the middle and ending of a three-part story. Your job is to complete the short story by writing a probable beginning of the story. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating ... | Adam was sitting at his desk when his dog Tuie came up to him. | 0 | NIv2 | task072_abductivenli_answer_generation | zs_opt | [
-0.40099388360977173,
1.024609088897705,
-0.14778295159339905,
-0.4949709177017212,
-0.3563840985298157,
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0.7518167495727539,
0.3404354751110077,
-0.2805919051170349,
0.08112539350986481,
-0.7280663847923279,
0.24495229125022888,
-0.06647142767906189,
-0.22732804715633... |
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 context. Try to make ... | The narrator is a resident at Wellington .
| 5 | NIv2 | task025_cosmosqa_incorrect_answer_generation | fs_opt | [
0.11800752580165863,
0.46603304147720337,
-0.4149259328842163,
0.5086655020713806,
-0.23617365956306458,
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0.2626878023147583,
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0.14352113008499146,
-0.33930718898773193,
-0.830479085445404,
0.23133549094200134,
-0.5950468182563782,
0.3917357325553894,... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
Ex Input:
Esta pequena seringa contém a molécula moral.
Ex Output:
هذه الحقنة الصغيرة.. تحوي جزيئات الأخلاق
Ex Input:
É o que os dentistas limpam de seus dentes cada vez que vocês fazem uma consulta.
Ex Output:
وه... | السمعة هو مقياس لمدى ثقة المجتمع بك.
| 1 | NIv2 | task1277_ted_translation_pt_ar | fs_opt | [
-1.0730106830596924,
-0.07210073620080948,
0.20664958655834198,
-0.8605172634124756,
-0.4341224431991577,
-0.03208727762103081,
0.11472272872924805,
-0.019690657034516335,
0.4134870171546936,
-0.27838557958602905,
-0.664192259311676,
0.5555837154388428,
-0.10907679051160812,
-0.12223511934... |
Instructions: In this task, you will be presented with a context passage, a question about that paragraph, and a possible answer to that question. The task is to check the validity of the answer. Answer with "Yes" or "No".
Input: Physical properties include the state of matter. We know these states as solid, liquid, or... | Yes | 3 | NIv2 | task1392_superglue_multirc_answer_verification | zs_opt | [
0.1780746579170227,
1.1163545846939087,
-0.7024450898170471,
-0.8635942935943604,
-0.05425594747066498,
-1.0651028156280518,
0.5178422331809998,
1.0353245735168457,
0.2736797034740448,
0.4150480628013611,
-0.41463690996170044,
-0.21854031085968018,
-0.4452908933162689,
-0.6225242018699646,... |
Q: 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 pron... | There are two dogs next to each other. | 7 | NIv2 | task188_snli_neutral_to_entailment_text_modification | zs_opt | [
-1.1116544008255005,
0.7788828611373901,
-0.3282853662967682,
-0.6813074350357056,
-0.44771596789360046,
0.01106193009763956,
0.09514141082763672,
0.6672679781913757,
0.001909148064441979,
-0.9907882213592529,
-0.985431432723999,
0.20290464162826538,
-0.5353944301605225,
-0.158564388751983... |
In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using terms from the passage. Indicate your choice as 1, 2, or 3.
Question: How many time had England been a World Cup champion w... | 1 | 0 | NIv2 | task230_iirc_passage_classification | zs_opt | [
0.499727725982666,
0.17450281977653503,
-0.8437272906303406,
-0.7536370754241943,
0.6724046468734741,
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0.8450118899345398,
1.2206065654754639,
-0.2753743529319763,
0.06453804671764374,
-0.01528483722358942,
0.5353793501853943,
-0.6220072507858276,
0.062374114990234375,
... |
You are given a question-answer pair. Answer with their type. Pay attention that there may be more than one correct type, but you only have to choose one. In your responses, use of the following types:
(1) Humans: Any individual or group of humans, including fictional ones (e.g., a group or organization of persons , a... | Solution: Other. | 5 | NIv2 | task046_miscellaneous_question_typing | fs_opt | [
0.9579743146896362,
-0.18675673007965088,
-0.23178324103355408,
0.26925963163375854,
0.008431517519056797,
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0.9971923828125,
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-0.4755656123161316,
0.4772968888282776,
-0.4959349036216736,
0.2017536759376526,
... |
In this task, you are given a short passage that conveys stereotype or anti-stereotype about a specific target. 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. You are expected to classify the passage into four types of ... | Gender | 6 | NIv2 | task280_stereoset_classification_stereotype_type | fs_opt | [
-0.315374493598938,
0.22332891821861267,
0.12113741040229797,
0.06633369624614716,
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-0.009950798004865646,
-1.062852382659912,
0.2121795415878296,
-0.8084521293640137,
0.013443658128380775,... |
In this task you will be given a list of integers. You should only return an integer if the first digit is the same as the last digit in the number. If an integer has a single digit, then it should be returned. If there are no integers that start and end with the same digit then an empty list ("[]") should be returned.... | [-828, -434] | 6 | NIv2 | task372_synthetic_palindrome_numbers | fs_opt | [
-0.7767850160598755,
0.22641006112098694,
-0.25531959533691406,
-0.5834789276123047,
-0.2328578531742096,
0.5478139519691467,
0.8219830989837646,
0.023986130952835083,
-0.11591217666864395,
0.2057192474603653,
-0.6415093541145325,
-0.11206382513046265,
-0.24148091673851013,
-0.020574448630... |
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... | A dog playing with a little boy
| 6 | NIv2 | task188_snli_neutral_to_entailment_text_modification | fs_opt | [
-1.0334327220916748,
0.5996378660202026,
-0.42346882820129395,
0.023782357573509216,
-0.1835005283355713,
-0.1965114176273346,
-0.2565973699092865,
0.5182316303253174,
0.31398439407348633,
-0.5539119243621826,
-0.818311333656311,
-0.21010060608386993,
0.032701410353183746,
0.07661132514476... |
Given the task definition and input, reply with output. In this task, you're given the middle and ending of a three-part story. Your job is to complete the short story by writing a probable beginning of the story. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avo... | The director of a play wanted to install a trap door in the stage. | 5 | NIv2 | task072_abductivenli_answer_generation | zs_opt | [
-0.6701403260231018,
1.1000393629074097,
0.04988916218280792,
-0.4271758794784546,
-0.497933030128479,
0.500150203704834,
0.2686236798763275,
0.15199875831604004,
0.2776719927787781,
-0.3382408618927002,
-0.5761940479278564,
0.41845545172691345,
-0.32167965173721313,
0.015460348688066006,
... |
In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to write the character's motivation by doing a specific job, which is given in the sentence. Y... | None
| 5 | NIv2 | task294_storycommonsense_motiv_text_generation | fs_opt | [
0.1238427460193634,
-0.04981156438589096,
-0.03418784588575363,
-0.6614200472831726,
0.2647961974143982,
0.006354254670441151,
0.4087243676185608,
0.8358295559883118,
-0.20852136611938477,
-0.2660370469093323,
0.047287292778491974,
-0.3215220272541046,
-0.25205492973327637,
-0.359619915485... |
In this task, you need to count the number of nouns/verbs in the given sentence.
Q: Sentence: 'Zebra behind a fence and in front of rocks'. Count the number of nouns in this sentence.
A: | 4 | 4 | NIv2 | task155_count_nouns_verbs | zs_opt | [
1.0973329544067383,
1.3997406959533691,
-0.44995516538619995,
-0.06125711277127266,
-0.9362555742263794,
-0.01686866395175457,
0.05424933135509491,
0.6514961123466492,
-0.059799931943416595,
-0.5654889941215515,
-0.20753838121891022,
-0.09072741866111755,
-0.7255786657333374,
0.05866956338... |
TASK DEFINITION: You are given a statement written in Kannada. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
PROBLEM: Statement: ಉತ್ಪಾತ ಮಳೆ ಮತ್ತು ಉತ್ತರಾಖಂಡ : ೨೦೧೩ರ ಜೂನ್ ೧೪ರಿಂದ ೧೭ರ ವರೆಗೆ ಸುರಿದ ಮಳೆ ಭಾರತದ ಪ್ರಸ... | ಒರಿಸ್ಸಾದಲ್ಲಿನ
| 8 | NIv2 | task948_wiki_cloze_kn_multiple_choice_question_answering | fs_opt | [
0.17949655652046204,
0.7139721512794495,
-0.7193343639373779,
-0.17777204513549805,
-0.37127888202667236,
-0.36177554726600647,
-0.0634356439113617,
1.144507646560669,
-0.38492080569267273,
-0.014412680640816689,
-0.1635383516550064,
0.2839393615722656,
-0.2726607918739319,
0.0077098319306... |
Given the task definition and input, reply with output. In this task you are given an anecdote. You must find out whether the anecdote is something the author has done or is considering doing. Label the instances as "HISTORICAL" when the author has already done something and label them as "HYPOTHETICAL" when the author... | HISTORICAL | 5 | NIv2 | task282_scruples_event_time | zs_opt | [
-0.32188624143600464,
0.6186798810958862,
0.4319102168083191,
0.7310041189193726,
0.05800449848175049,
-0.7740390300750732,
0.014381611719727516,
0.8568346500396729,
0.21784821152687073,
-0.15815678238868713,
-0.11158712953329086,
0.12245459109544754,
-0.5798001885414124,
-0.35622364282608... |
In this task, you're given an article and an answer. Your task is to generate the fill-in-the-blank question for this answer based on the given article. The blanks are always at the end of the question, and can be filled with more than one word or phrase.
Q: Article: It was a simple letter asking for a place to study a... | Sophia wrote a letter to St Andrews University because she wanted _ . | 4 | NIv2 | task649_race_blank_question_generation | zs_opt | [
0.3367299437522888,
0.5428026914596558,
-1.0678695440292358,
-0.8345824480056763,
0.6700672507286072,
-1.0670312643051147,
0.7290380597114563,
0.41166967153549194,
0.30174580216407776,
-0.00576787069439888,
0.4443260133266449,
0.7292365431785583,
-0.8736328482627869,
0.44161251187324524,
... |
Teacher: You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to find the correct answer (and return the string of the correct option, not option1/2) for the given question from the given options and based on the given passage. Answer of the question can ... | Dinner and conversation | 2 | NIv2 | task164_mcscript_question_answering_text | fs_opt | [
0.6783208250999451,
0.032975681126117706,
-0.3893612325191498,
0.348794549703598,
-0.20537567138671875,
0.02052396722137928,
1.0762064456939697,
0.7525166273117065,
-0.44376084208488464,
-0.3648533225059509,
0.08163857460021973,
0.00510308938100934,
-0.02706722542643547,
-0.134004801511764... |
Definition: 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 the post into two classes: geopolitical or non-geopolitical depe... | non-geopolitical | 2 | NIv2 | task1493_bengali_geopolitical_hate_speech_binary_classification | zs_opt | [
-1.208452582359314,
0.04009231925010681,
0.3211255669593811,
-0.0037428587675094604,
-0.5653426647186279,
-0.6266453862190247,
0.1934855729341507,
0.15466105937957764,
-0.11260649561882019,
-0.2883211374282837,
-0.5634231567382812,
-0.26939231157302856,
-0.27703535556793213,
-0.20679280161... |
Definition: Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical condition, 11) military branch, 12) narrative location, 13) occupat... | service entry | 2 | NIv2 | task1328_qa_zre_relation_generation_from_question | zs_opt | [
0.09910905361175537,
-0.08691069483757019,
-0.09360752999782562,
-0.15331876277923584,
0.09691481292247772,
-0.7406004667282104,
0.7555217146873474,
-0.004828744567930698,
0.1764550805091858,
-0.09754263609647751,
-0.7899705171585083,
0.04708144813776016,
-0.8613605499267578,
0.10214848071... |
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... | Yes | 9 | NIv2 | task1198_atomic_classification_owant | zs_opt | [
0.37003904581069946,
0.6551171541213989,
0.48918616771698,
-0.36503714323043823,
-0.38627225160598755,
-1.012893795967102,
0.8328217267990112,
0.43018925189971924,
-0.5311760902404785,
-0.31982147693634033,
-0.10759033262729645,
-0.4723455011844635,
-0.7307149767875671,
0.02262013964354992... |
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..
Q: Context: Ash was every mans hero from all the good deeds they did.
Answer: do their best to do good as well
A: | What will Others want to do next? | 4 | NIv2 | task581_socialiqa_question_generation | zs_opt | [
0.15096494555473328,
0.8391587734222412,
0.39023557305336,
-0.9283748865127563,
-0.42718833684921265,
-0.8746733665466309,
0.2457665503025055,
-0.1657937914133072,
0.3354465961456299,
-0.3997063934803009,
-0.9473817348480225,
0.3397696316242218,
-0.6740432977676392,
-0.02066495269536972,
... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Arabic.
One example: É basicamente un caldeiro que rota.
Solution is here: ويوجد أساسا مرجل دوار.
Explanation: The Galician sentence is correctly translated into Arabic, because the meaning is preserved.
Now, solve this: o que a ... | ما أراد NFB لم يكن سيارة يمكن تقود شخص كفيف إلي أي مكان ، ولكن سيارة فيها شخص مكفوف يستطيع اتخاذ قرارات فعالة والقياده. | 6 | NIv2 | task1241_ted_translation_gl_ar | fs_opt | [
0.21828214824199677,
0.24067407846450806,
0.1055908128619194,
-0.5275992155075073,
-0.1695854812860489,
0.19358840584754944,
1.4436746835708618,
-0.45050492882728577,
-0.11227742582559586,
0.015178989619016647,
-0.5919850468635559,
-0.41148561239242554,
-0.9966148734092712,
0.5065188407897... |
Given a sentence in French, generate a new French sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it bei... | Une rivière est faite d'eau. | 0 | NIv2 | task406_mickey_fr_sentence_perturbation_generation | zs_opt | [
-0.18011504411697388,
1.3984068632125854,
0.023510660976171494,
-0.5273014307022095,
0.24229761958122253,
-0.5495460033416748,
0.15516144037246704,
1.0176888704299927,
0.4875808656215668,
-0.35534799098968506,
-0.9177735447883606,
-0.5475304126739502,
-0.48831677436828613,
-0.1469252109527... |
Part 1. Definition
In this task you will be given an arithmetic operation and you have to find its answer. The operators '+' and '-' have been replaced with new symbols. Specifically, '+' has been replaced with the symbol '@' and '-' with the symbol '#'. You need to perform the operations in the given equation return t... | 6853 | 7 | NIv2 | task087_new_operator_addsub_arithmetic | fs_opt | [
0.16808633506298065,
0.6026406288146973,
-0.7307134866714478,
-0.1739017367362976,
-0.46884316205978394,
-0.2841882109642029,
0.9737764596939087,
1.4586482048034668,
0.752100944519043,
-0.06301943957805634,
-0.42354336380958557,
-0.3848767876625061,
-0.02264401875436306,
-0.098754502832889... |
TASK DEFINITION: In this task, you're given the middle and ending of a three-part story. Your job is to complete the short story by writing a probable beginning of the story. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra informati... | Rio's chest hurt badly.
| 8 | NIv2 | task072_abductivenli_answer_generation | fs_opt | [
0.034719936549663544,
0.5430331826210022,
-0.23745200037956238,
-0.3224185109138489,
-0.6968729496002197,
0.3336028456687927,
1.0803561210632324,
0.5286080837249756,
0.047146275639534,
-0.7239722609519958,
-0.34889522194862366,
0.04062972962856293,
-0.29141855239868164,
0.1087002083659172,... |
In this task, you are given an input list A. If the count of numbers is more than that of alphabets in the list, answer 'Numbers Win'. If the count of alphabets is more than that of numbers in the list, answer 'Alphabets Win'. If the count of numbers is same as that of alphabets in the list, answer 'Numbers and Alphabe... | Numbers and Alphabets are Tied | 4 | NIv2 | task523_find_if_numbers_or_alphabets_are_more_in_list | zs_opt | [
-0.316771924495697,
0.7748143672943115,
-0.466075599193573,
-0.19165107607841492,
-0.40057572722435,
-0.3414979577064514,
0.3728201985359192,
-0.5837793946266174,
-0.24968492984771729,
0.20592066645622253,
-0.8136835098266602,
-0.051288358867168427,
-0.03801645711064339,
0.3229412436485290... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a review about a place. You need to provide a rating from "1 star" to "5 stars" for this place.
Although I did enjoy the food here, I was completely unimpressed (and slightly annoyed) ... | 5 stars | 0 | NIv2 | task1292_yelp_review_full_text_categorization | fs_opt | [
0.0029591829515993595,
0.7511951923370361,
-0.41913336515426636,
-0.2358119785785675,
0.38742682337760925,
-0.5293576121330261,
0.3784613013267517,
0.8316642045974731,
-0.07691740989685059,
-0.0608835443854332,
0.3936644196510315,
-0.00016726134344935417,
-0.8881165981292725,
0.49482363462... |
Given the task definition and input, reply with output. In this task, you are given two sets, and you need to count the number of elements at the union of two given sets. A Set is shown by two curly braces and comma-separated numbers inside, like {1, 2, 3}. Union of two given sets is the smallest set which contains all... | 3 | 5 | NIv2 | task244_count_elements_in_set_union | zs_opt | [
0.11200506240129471,
0.8251955509185791,
-1.0227131843566895,
-0.11213096231222153,
-0.3726692199707031,
0.36256080865859985,
0.46222829818725586,
0.27192965149879456,
-0.2693355977535248,
-0.22336003184318542,
-0.8602291941642761,
0.09820976853370667,
0.31582242250442505,
0.06037357449531... |
Given the task definition and input, reply with output. You are given a sentence in Persian. Your job is to translate the Farsi sentence into Japanese.
3 تا موسس نت اسکیپ دارن.
| Netscapeの創業者は3人ともそうです | 5 | NIv2 | task1266_ted_translation_fa_ja | zs_opt | [
-0.35751858353614807,
0.07609382271766663,
-0.00883434433490038,
-0.14522260427474976,
-0.00849736388772726,
0.5748721361160278,
0.6815572381019592,
-0.19405098259449005,
0.8434208631515503,
-0.6047878265380859,
-0.43976378440856934,
0.4929581582546234,
-0.33243924379348755,
0.008361154235... |
In this task, you're given a pair of sentences in the Persian Language written in the Persian alphabet. Your job is to choose whether the two sentences agree (entailment), disagree (contradiction), or neither (neutral). Your answer must be in the form of the letters E, C, and N, respectively. The sentences have been se... | C | 4 | NIv2 | task534_farstail_entailment | zs_opt | [
-0.7966970801353455,
0.31051868200302124,
0.4368632435798645,
-0.04020918905735016,
-0.32187360525131226,
0.34541240334510803,
0.4838583469390869,
0.4223100543022156,
-0.07940524816513062,
-0.40360337495803833,
-0.28114157915115356,
0.09138354659080505,
-0.6841311454772949,
-0.326240003108... |
Given news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news headlines into "Funny" and "Not Funny" that have been modified by humans using an edit word to make them funny.
Ex Input:
... | Funny
| 1 | NIv2 | task495_semeval_headline_classification | fs_opt | [
-0.10381683707237244,
0.6842150688171387,
0.3901105523109436,
0.28845691680908203,
-0.37014535069465637,
-0.3135524392127991,
0.1248408630490303,
1.2037739753723145,
-0.27563899755477905,
-0.051996104419231415,
-0.44699448347091675,
0.08973227441310883,
-0.46314752101898193,
-0.16948345303... |
Detailed Instructions: In this task, you are given a sentence from the research paper and your task is to classify the given sentence into the following categories: Background (Why is this problem important? What relevant works have been created before? What is still missing in the previous works? What are the high-lev... | method | 8 | NIv2 | task1163_coda19_section_classification | zs_opt | [
-0.0381343699991703,
0.6249298453330994,
0.3638336956501007,
-0.1574966013431549,
-0.39037036895751953,
0.5295259952545166,
0.25161951780319214,
0.4806306064128876,
0.30150169134140015,
-0.22508129477500916,
-0.5069953799247742,
0.2273411601781845,
-0.3540560305118561,
0.4344700872898102,
... |
In this task, you are given two sentences in Persian separated with <sep>, and you have to determine whether the sentences are paraphrases or not. Classify your answers into "paraphrase" and "not-paraphrase".
One example is below.
Q: اگر Apple ID و ایمیل خود را فراموش کرده ام چه کاری می توانم انجام دهم؟ <sep> Apple ID ... | paraphrase | 9 | NIv2 | task465_parsinlu_qqp_classification | fs_opt | [
-0.8134384155273438,
0.8943659067153931,
-0.0638490840792656,
-0.5871735215187073,
-1.0152788162231445,
0.18104329705238342,
1.8095091581344604,
0.3383099138736725,
0.35559725761413574,
-0.4310932755470276,
-0.40934672951698303,
-0.31855446100234985,
-0.5411074161529541,
0.3473413586616516... |
Detailed Instructions: In this task, you are given an ambiguous question/query (which can be answered in more than one way) and a clarification statement to understand the query more precisely. Your task to classify that if the given clarification accurately clarifies the given query or not and based on that provide 'Y... | No | 4 | NIv2 | task227_clariq_classification | fs_opt | [
-0.46606048941612244,
0.1608629822731018,
-0.2363595813512802,
-0.09050054103136063,
-0.6090680360794067,
-0.9672843813896179,
0.8646422624588013,
0.47918036580085754,
0.4506605267524719,
0.1222056970000267,
0.3822891116142273,
-0.2915918827056885,
-0.7492915987968445,
0.2721765339374542,
... |
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_box
| 5 | NIv2 | task154_tomqa_find_location_hard_noise | fs_opt | [
0.00411597266793251,
-0.46907827258110046,
-0.07700104266405106,
-0.5413217544555664,
-0.18903569877147675,
-1.1026084423065186,
-0.44310593605041504,
0.6366100311279297,
0.3864039182662964,
0.09263831377029419,
-0.5169181227684021,
0.5018230676651001,
0.24410544335842133,
0.25325262546539... |
TASK DEFINITION: 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 a... | I feel(s) curiosity >Motivates> I check out a new song
| 8 | NIv2 | task747_glucose_cause_emotion_detection | fs_opt | [
0.043352194130420685,
0.14107489585876465,
-0.18460378050804138,
-0.09015120565891266,
-0.2862584590911865,
-0.6495868563652039,
1.0238466262817383,
0.6385267376899719,
-0.04618094488978386,
0.023199399933218956,
-0.4529182016849518,
0.3529624342918396,
-0.5646710395812988,
-0.255821228027... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. You are required to assign a label 'formal' if there is an absence of emotion and a presence of questions anywhere within the conversation. If such pattern is not found assign the label 'informal'... | informal
| 0 | NIv2 | task1533_daily_dialog_formal_classification | fs_opt | [
0.31615346670150757,
0.32439324259757996,
-0.34635114669799805,
-0.23806564509868622,
0.13459542393684387,
0.0922728031873703,
0.7265059947967529,
0.1659850776195526,
-0.3589860498905182,
-0.016619939357042313,
-0.23854376375675201,
-0.32583320140838623,
-0.3077714145183563,
0.582142114639... |
Given the task definition, example input & output, solve the new input case.
In this task, you need to reverse all words of a given length in the sentence. The number of letters in a word determine its length. For example, the length of the word "apple" is 5.
Example: Sentence: 'as a guy jumps over the snow with his sn... | an lamina cracker next to an wolley apple | 1 | NIv2 | task378_reverse_words_of_given_length | fs_opt | [
-0.6193491220474243,
0.8647525310516357,
0.14544816315174103,
-0.30987778306007385,
-0.12387692928314209,
0.08221130818128586,
0.06812412291765213,
0.39018622040748596,
0.06720630824565887,
-0.9910659193992615,
-1.221480131149292,
0.1982150673866272,
-0.6887848377227783,
0.1853962540626526... |
Part 1. Definition
In this task, you are given a summary for US Congressional and California state bill, your task is to generate a Title for this bill. The preferred titles are under forty words and mention the purpose of the bill.
Part 2. Example
Amends the Water Resources Development Act of 1999 to: (1) authorize ap... | To amend the Juvenile Justice and Delinquency Prevention Act of 1974 with respect to juveniles who have committed offenses, and for other purposes. | 7 | NIv2 | task1659_title_generation | fs_opt | [
0.15817183256149292,
0.3597830533981323,
-0.47087597846984863,
-0.6749968528747559,
0.35337507724761963,
-0.7664071321487427,
0.8632382750511169,
1.0612469911575317,
-0.43203794956207275,
0.06793823838233948,
0.5087001323699951,
0.48455795645713806,
-0.6659616231918335,
-0.0449054613709449... |
This task is in Spanish. Based on the given context, generate a question which can be answered by the given context. Generate a question that has more than 7 words. You can paraphrase the given context while forming the question.
Suggestion: The question may involve starting question words like WHERE, WHEN, HOW, WHAT ... | Solution: ¿Cuándo fue eliminada la información relativa al papa de las páginas web? | 5 | NIv2 | task1335_sqac_question_generation | fs_opt | [
0.8230686783790588,
0.2950235605239868,
-0.6925977468490601,
0.41100114583969116,
-0.24666298925876617,
-0.01570180244743824,
0.38519081473350525,
1.4401144981384277,
0.17252404987812042,
0.049277447164058685,
-0.406177818775177,
0.8453035354614258,
-0.524228572845459,
0.2667645215988159,
... |
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 independence of Catalonia then it's 'Against' and if the tweets support it then it wi... | Against
| 5 | NIv2 | task1646_dataset_card_for_catalonia_independence_corpus_text_classification | fs_opt | [
0.0637902244925499,
0.9318296909332275,
-0.10832256078720093,
0.326784610748291,
-0.579265832901001,
-1.3415536880493164,
0.20704978704452515,
1.0588161945343018,
-0.2061745524406433,
0.3527471125125885,
-0.3237899839878082,
-0.21318423748016357,
-0.19436416029930115,
-0.5700799226760864,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with a question, a word, and a POS tag. You have to determine whether the part-of-speech tag of the given word in the question is equal to the given POS tag or not. Give your answer with True or False. Here ... | True | 1 | NIv2 | task346_hybridqa_classification | zs_opt | [
-0.013122440315783024,
0.2787460684776306,
-0.6674409508705139,
0.2818804979324341,
-0.13953033089637756,
-0.9873669147491455,
0.9112193584442139,
0.5516505837440491,
-0.38978201150894165,
-0.01729380153119564,
-0.12882086634635925,
0.4914701282978058,
-0.22971799969673157,
-0.000242084090... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The up... | strengthener | 1 | NIv2 | task937_defeasible_nli_social_classification | zs_opt | [
-0.2572867274284363,
0.833702802658081,
0.07054637372493744,
0.028938839212059975,
0.05258018523454666,
-0.5880993008613586,
1.0171971321105957,
0.7570056915283203,
0.4696510434150696,
-0.5609636902809143,
-1.2018404006958008,
-0.37407928705215454,
-0.34350281953811646,
-0.0744127705693245... |
Detailed Instructions: In this task you will be given a list of integers. You should find the maximum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the largest possible absolute dista... | 140 | 9 | NIv2 | task1446_farthest_integers | zs_opt | [
-0.3999297618865967,
0.5856083631515503,
0.25945907831192017,
-0.5208654999732971,
-0.4971826374530792,
-0.21145784854888916,
0.6750634908676147,
-0.14500437676906586,
0.9592930674552917,
-0.019565192982554436,
-0.16572314500808716,
-0.3332257866859436,
-0.5534822940826416,
0.2620816230773... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators... | select the row whose black knights points record of all rows is 4th minimum . the date record of this row is oct 20 . | 1 | NIv2 | task110_logic2text_sentence_generation | zs_opt | [
0.3059460520744324,
-0.37152519822120667,
-0.25115877389907837,
0.5538676381111145,
0.33278322219848633,
-0.30942070484161377,
0.41440021991729736,
0.6140559315681458,
0.04791148751974106,
-0.14457014203071594,
-0.5002810955047607,
-0.20103579759597778,
0.4214984178543091,
0.47711563110351... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with a question having multiple possible answers in German language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Question: Was bauen ... | B | 1 | NIv2 | task1138_xcsr_de_commonsense_mc_classification | zs_opt | [
-0.1680934727191925,
0.9683592915534973,
0.059013284742832184,
-0.15865875780582428,
-0.38862624764442444,
0.5963168144226074,
1.3862953186035156,
0.7005674242973328,
0.27599552273750305,
-0.7587587833404541,
-0.1227889358997345,
-0.020178087055683136,
-0.7543964982032776,
-0.2831665277481... |
Detailed Instructions: A text is given in English. Translate it from the English language to the Bengali language. The translation must not omit or add information to the original sentence.
Problem:Ministry of Finance Source to know the Type of Bank Account
Solution: | ব্যঙ্ক অ্যাকাউন্টের উৎসের বিষয়ে অনুসন্ধান নয়াদিল্লি, ২৬ জুন, ২০১৯ | 8 | NIv2 | task996_pib_translation_english_bengali | zs_opt | [
0.07479903846979141,
-0.20523831248283386,
-0.26994413137435913,
-0.027525857090950012,
0.1921548694372177,
-0.41625118255615234,
0.8295612335205078,
-0.028489574790000916,
0.47798168659210205,
-0.05747552961111069,
-0.31374573707580566,
-0.37441694736480713,
-0.8261609077453613,
0.5297769... |
Q: In this task you are given a sentence. You must judge whether there exist two consecutive words within the sentence with flipped orders, that is, whether the sentence will make sense and be correct if the order of two consecutive words changes. Label the instances as "Inversion" or "Original" based on your judgment.... | Inversion | 7 | NIv2 | task428_senteval_inversion | zs_opt | [
-0.9374828934669495,
0.4669073224067688,
0.38577795028686523,
0.0012293849140405655,
0.08390164375305176,
-0.3991934359073639,
0.2791718542575836,
0.5762056708335876,
0.22167715430259705,
-0.4074767827987671,
-0.5132014155387878,
-0.20118603110313416,
-0.1368846297264099,
0.363871812820434... |
Definition: In this task, you are given two strings A, B. Find the longest common substring in the strings A and B.
Input: qxshja, PzshHG
Output: | sh | 2 | NIv2 | task600_find_the_longest_common_substring_in_two_strings | zs_opt | [
-0.2472289502620697,
0.8560663461685181,
-0.1865483671426773,
-0.29190120100975037,
-0.22605249285697937,
0.3348217010498047,
0.6064342856407166,
-0.8319699764251709,
0.03235367685556412,
-0.038925930857658386,
-0.8561327457427979,
-0.1710541844367981,
0.18249639868736267,
0.08365602046251... |
In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal.
Here are the defications ... | ordinal | 0 | NIv2 | task212_logic2text_classification | zs_opt | [
0.07616778463125229,
-0.23622670769691467,
-0.4044865667819977,
0.25977593660354614,
0.3444932699203491,
-0.45003923773765564,
0.7324137687683105,
0.6028522253036499,
0.3953133523464203,
-0.020304866135120392,
-0.22274720668792725,
0.1015758290886879,
0.006370427552610636,
0.53163528442382... |
Instructions: In this task, you need to remove all words of a given length in the sentence. The number of letters in a word determine its length, for example, the length of the word "apple" is 5.
Input: Sentence: 'a large yellow lizard kite flying over a field'. Remove all words of length '6' in the given sentence.
Out... | a large kite over a field | 3 | NIv2 | task377_remove_words_of_given_length | zs_opt | [
-0.3651760220527649,
0.7940559387207031,
-0.41925475001335144,
-1.0934549570083618,
-0.0507843941450119,
-0.534617006778717,
-0.830290675163269,
0.13806819915771484,
-0.6344829201698303,
-0.5515855550765991,
-0.6690480709075928,
-0.6147226095199585,
-0.7919290065765381,
0.47350990772247314... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
FarsNet [20] [21] is the first WordNet for Persian, developed by the NLP Lab at... | FarsNet | 1 | NIv2 | task460_qasper_answer_generation | zs_opt | [
-0.46033143997192383,
0.8395214676856995,
-0.03628728538751602,
-0.26763617992401123,
-0.5586745738983154,
0.7161885499954224,
0.8827166557312012,
0.10120003670454025,
0.17157524824142456,
-0.01212290022522211,
-0.6810798645019531,
0.6319915652275085,
-1.2256884574890137,
0.104797989130020... |
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: อิตาลีได้เอาชนะโปรตุเกสด้วยคะแนน31ต่อ5 ในกลุ่มc ของการแข่งขันรักบี้เวิลด์คัพปี2007 ที่สนามปาร์กเดแพร็งส์ ที่กรุงปารีส ประเทศฝรั่งเศส
Example ... | Solution: カナダのバンクーバーから約80マイル南にある、アメリカのワシントン州アナコーテスにあるワシントン州製油所で一晩中、爆発と火災があり、昨日4人が死亡して3人が負傷して危篤状態にある。 | 5 | NIv2 | task1128_alt_th_ja_translation | fs_opt | [
0.6092913150787354,
0.33598268032073975,
-0.5052712559700012,
0.6207596659660339,
0.11548266559839249,
-0.7689782977104187,
-0.11325658857822418,
0.7319128513336182,
-0.25210586190223694,
-0.05279466509819031,
-0.6176589727401733,
0.7659376859664917,
-0.1679447889328003,
0.5886844396591187... |
In this task, you are given inputs 'i', 'j', and A, where 'i' and 'j' are integers and A is a list. A list is shown by two brackets and comma-separated numbers and characters inside, like ['1', '12', 'l']. You need to concatenate all elements of A from the ith element to the jth element, and then reverse the resulting ... | Output: OUJ
| 2 | NIv2 | task267_concatenate_and_reverse_all_elements_from_index_i_to_j | fs_opt | [
-0.09838102757930756,
0.06952045857906342,
-0.5959634780883789,
-0.058179259300231934,
-0.038748253136873245,
-0.015167566947638988,
0.3750801682472229,
0.28536176681518555,
-0.424670934677124,
0.1529189944267273,
-0.966454267501831,
-0.16247093677520752,
0.17968438565731049,
-0.3676375746... |
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 appear in t... | N, o, N, Z, p, I, Z, f, w, F, H, D, g, j, 9915, 4029, 4409, 211, 2261, 1651, 2887, 2939, 4905, 8153, 3995, 5825, 5501, 6275, 5611, 1979, 3023, 1807, 677 | 3 | NIv2 | task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately | zs_opt | [
-0.04777918756008148,
0.6331539154052734,
-0.5158366560935974,
-0.31196388602256775,
0.11078958213329315,
-0.24367205798625946,
0.5871641039848328,
0.3865874707698822,
-0.2633364796638489,
0.7576628923416138,
-1.0326597690582275,
0.29579657316207886,
-0.026292208582162857,
-0.4863570630550... |
Given the task definition and input, reply with output. In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
[766, 66, 260, -682, -86, 317]
| [770, 70, 260, -680, -90, 320] | 5 | NIv2 | task373_synthetic_round_tens_place | zs_opt | [
-0.7223334908485413,
0.6482776403427124,
0.30840638279914856,
-0.2812116742134094,
-0.4743070602416992,
-0.15878397226333618,
0.5190238952636719,
-0.5711480975151062,
-0.0850895494222641,
0.05089997500181198,
-0.5351543426513672,
0.2658667266368866,
-0.5979998707771301,
0.01857704110443592... |
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... | Yes | 8 | NIv2 | task1201_atomic_classification_xintent | fs_opt | [
0.7689411044120789,
-0.12295429408550262,
0.08931558579206467,
0.2715739905834198,
-0.1728467047214508,
-1.3701717853546143,
1.3096215724945068,
0.4507952332496643,
-0.906705379486084,
-0.0457892008125782,
-0.20671603083610535,
-0.7339452505111694,
-0.8746780157089233,
-0.40300577878952026... |
Teacher:In this task your given two statements in Haitian. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Teacher: Now, understand the problem? Solve this instance:... | cause | 6 | NIv2 | task1169_xcopa_commonsense_cause_effect_ht | zs_opt | [
-0.22231456637382507,
0.19877168536186218,
-0.4319486618041992,
-0.550555944442749,
-0.11405133455991745,
-0.4584784507751465,
0.3449186086654663,
0.1929609775543213,
0.10075756907463074,
-0.34260743856430054,
-0.302120566368103,
0.15049134194850922,
-0.8538023233413696,
0.1953703165054321... |
In this task you will be given a claim and a perspective. You should determine whether that perspective supports or undermines the claim. If the perspective could possibly convince someone with different view, it is supporting, otherwise it is undermining.
[EX Q]: claim: Gay couples should be allowed to marry.
perspe... | support
| 6 | NIv2 | task738_perspectrum_classification | fs_opt | [
-0.5730650424957275,
0.2397710680961609,
0.6025570631027222,
0.21018695831298828,
-0.412502259016037,
-0.6025493144989014,
0.9373242855072021,
0.45755717158317566,
0.31199315190315247,
0.055584616959095,
-0.352120041847229,
-0.3472900092601776,
-0.37129929661750793,
-0.0737338587641716,
... |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Example Input: @UpdharmaDown wow, amazing.. it's like a video version of an action sampler lomo.
Example Output: positive
Example Input: @youronlyfan pleas... | negative
| 3 | NIv2 | task195_sentiment140_classification | fs_opt | [
-1.3566546440124512,
-0.05785149708390236,
0.7283409833908081,
0.5940181016921997,
0.15069708228111267,
-0.5005593299865723,
-0.0520622693002224,
1.0582330226898193,
0.0673525482416153,
0.3142881393432617,
-0.6058963537216187,
-0.0626644492149353,
-0.2174564003944397,
-0.8681004047393799,
... |
In this task, you are given a dialogue between a user and an assistant, where users and assistants converse about geographic topics like geopolitical entities and locations. The task here is to find if the dialogue is by the user or assistant. Classify your answers into user and assistant.
Q: I am interested in findin... | user
****
| 4 | NIv2 | task577_curiosity_dialogs_classification | fs_opt | [
-0.5854234099388123,
0.5631782412528992,
-0.05233976989984512,
-0.6339284181594849,
-0.3891584873199463,
0.0991581603884697,
0.4086723327636719,
0.045037657022476196,
0.7984075546264648,
-0.21788309514522552,
-0.4765704274177551,
-0.8045047521591187,
-0.07711438834667206,
0.015298759564757... |
Detailed Instructions: You will be given one or more triples. The second part of each triple shows the relation between the first and the third element. Your task is to write a simple and short piece of text (sentence(s)) that describes the triples in natural language.
Problem:Asam_pedas | country | "Indonesia and Mala... | Asam pedas comes from the countries of Indonesia and Malaysia. | 8 | NIv2 | task1728_web_nlg_data_to_text | zs_opt | [
-0.336033433675766,
0.4766470789909363,
-0.16299307346343994,
-1.301755666732788,
-0.9355700016021729,
-0.2283959686756134,
1.3665432929992676,
-0.448525071144104,
-0.6657928228378296,
-0.03627319633960724,
-1.2307312488555908,
0.7126398086547852,
0.03432264178991318,
-0.033055566251277924... |
Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Arabic.
Input: Xa sabemos o dos fumadores, as barriñas Mars fritidas, as patacas... a dieta de Glasgow.
Output: | الان, نعرف التدخين أصابع مارس المقلية, ارقائق لبطاطس — و حمية جلاسقو | 3 | NIv2 | task1241_ted_translation_gl_ar | zs_opt | [
0.14949846267700195,
0.7858403921127319,
0.03638685867190361,
-1.549508810043335,
-0.20201800763607025,
-1.2508294582366943,
0.9194601774215698,
-0.1608876883983612,
0.018136197701096535,
0.2568550705909729,
-0.4915684461593628,
-0.22269628942012787,
-1.2233996391296387,
0.5636293292045593... |
TASK DEFINITION: In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story such that it seamlessly connects with the rest of the story.
PROBLEM: Title: The Gun. Sentence 1: Andrew bought something for his hunting trip. Sentence 2: It ... | An hour later she figured she had enough exercise and went upstairs.
| 8 | NIv2 | task216_rocstories_correct_answer_generation | fs_opt | [
-0.2296462506055832,
0.29333317279815674,
-0.6614145636558533,
-0.40761879086494446,
-0.06837811321020126,
-0.4889708161354065,
0.6971613168716431,
0.876339316368103,
0.23255464434623718,
-0.144008606672287,
-0.7317051887512207,
-0.0401756726205349,
-0.38923823833465576,
0.1161050871014595... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
One example: מונטריי היא אחת מהם.
Solution is here: Monterey is one of those.
Explanation: The Hebrew sentence is correctly translated into English. `Montery` is correctly translated into `מונטריי`.
Now, solve this: הם באו ל... | They came for three days. | 6 | NIv2 | task1234_ted_translation_he_en | fs_opt | [
-0.10314087569713593,
0.535934329032898,
0.3263413906097412,
-0.5293682813644409,
-0.7335706949234009,
-0.8753790259361267,
0.2846188247203827,
-0.04179307073354721,
0.8449338674545288,
-0.2996341586112976,
-0.43063223361968994,
0.4652986526489258,
-0.458293080329895,
-0.24128058552742004,... |
Detailed Instructions: In this task, you need to Translate Czech text to English.
Q: Je popsán zlepšený způsob barvení vláknitého výrobku obsahujícího vlákna z polyamidu za použití alespoň jednoho aniontového barviva, a také výrobky vybarvené tímto způsobem. Při tomto způsobu se postupuje tak, že se výrobek ponoří ... | An improved method of dyeing a fibrous article comprising polyamide fibers using at least one anionic dye, as well as articles dyed in this manner, is described. In this process, the product is immersed in a dye bath containing a liquid solvent for the anionic dye. The liquid solvent and the article are heated to a tem... | 9 | NIv2 | task842_para_pdt_cs_en_translation | zs_opt | [
-0.10067605972290039,
0.1514715552330017,
-0.5806391835212708,
0.28439801931381226,
-0.5147784352302551,
-0.5382821559906006,
-0.31412050127983093,
1.4485114812850952,
-0.7436792850494385,
-0.051103271543979645,
-0.20285381376743317,
0.6946378350257874,
-0.8921157121658325,
0.2504569292068... |
Given the task definition and input, reply with output. In this task you are given a Chinese paragraph related to criminal cases, your job is to give an answer to what the criminal's name is.
无锡市滨湖区人民检察院指控称：2013年2月至8月间，被告人王某与陈某（已判刑）明知本市滨湖区南泉地区太湖贡湖水域系禁渔期，仍先后40余次驾驶渔船在上述水域，采用电击方法非法捕捞太湖河虾、白虾共计约250千克，采用渔网捕捞太湖螺蛳共计约12000千克，销... | 王某 | 5 | NIv2 | task1666_cail2018_answer_generation | zs_opt | [
0.08430500328540802,
-0.14967790246009827,
-0.7477566003799438,
-0.25645869970321655,
0.17277075350284576,
0.651668131351471,
-0.42289549112319946,
1.1942768096923828,
-0.767454981803894,
0.3872275650501251,
-0.08238660544157028,
0.4808376133441925,
-0.3685634732246399,
-0.4277271926403045... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
Example input: Mas o que são direitos humanos?
Example output: ولكن ماهي حقوق الإنسان ؟
Example explanation: The Portugese sentence is correctly translated into Arabic, because the meaning is preserved.
Q: Uma das que... | لكن هناك شيئا واحدا قد قامو بمعالجته انه هناك العديد من المستاجرين. | 3 | NIv2 | task1277_ted_translation_pt_ar | fs_opt | [
-0.14559945464134216,
0.6110579967498779,
-0.07708209753036499,
-0.5039339065551758,
-0.6493690013885498,
-0.2750662565231323,
0.9005804061889648,
0.2639349400997162,
0.17619657516479492,
-0.045410431921482086,
-0.9622714519500732,
-0.19932833313941956,
-0.9849051237106323,
0.0557260587811... |
Definition: You are given a sentence in English. Your job is to translate the English sentence into Portugese.
Input: And of course, eventually things settled down.
Output: | E, claro, as coisas acabaram por correr bem. | 2 | NIv2 | task1094_ted_translation_en_pt | zs_opt | [
0.34349551796913147,
1.048090934753418,
-0.4389810562133789,
-0.0314083993434906,
-0.161818727850914,
-0.8387558460235596,
-0.7356439232826233,
0.7414846420288086,
0.4281798303127289,
0.13425137102603912,
0.12423065304756165,
0.5003327131271362,
-0.5258694291114807,
0.39489561319351196,
... |
Q: In this task you are given a sentence. You must judge whether the main verb of the sentence is in present or past tense. Label the instances as "Present" or "Past" based on your judgment. If there is no verb in the given text, answer "Present".
He learns fast. "
A: | Present | 7 | NIv2 | task429_senteval_tense | zs_opt | [
-0.665725827217102,
1.0000566244125366,
0.49794918298721313,
-0.4139203429222107,
-0.12273131310939789,
-0.24015629291534424,
0.9537087082862854,
1.0460033416748047,
0.19396719336509705,
0.10323743522167206,
-0.7540207505226135,
-0.11599339544773102,
-0.7005916833877563,
0.3411082029342651... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
życiu stawić czoła Granicę przekrocz "" Będziesz wolna "", już ktoś tam woła. Kobiety nadziei Kobiety zm... | ואז, כשהחיות הללו שוחות ונותנות לנו את המידע זה עוזר לנו עם בעיות האקלים, בנוסף אנחנו חושבים שזה קריטי להביא מידע זה לציבור, ולמשוך את הציבור עם מידע מסוג זה. | 0 | NIv2 | task1260_ted_translation_pl_he | fs_opt | [
-0.4185403883457184,
0.448122501373291,
-0.4907953441143036,
-0.01875429041683674,
-0.12644022703170776,
-1.1025121212005615,
1.3334288597106934,
0.34811049699783325,
0.2707221210002899,
-0.21620608866214752,
-0.5983767509460449,
0.24562165141105652,
-1.0369709730148315,
0.2400683164596557... |
Teacher:Given a premise, an initial context, an original ending, and a counterfactual context, the task is to generate a new story ending aligned with the counterfactual context and as close to the original ending as possible. Each instance consists of a five-sentence story. The premise is the first sentence of a story... | They ignored a car that followed them, but it came back again. This time, they ran away and called the police. The police arrived later and Tiffany and her husband went home. | 6 | NIv2 | task269_csrg_counterfactual_story_generation | zs_opt | [
0.29866036772727966,
-0.12288869917392731,
0.05948883295059204,
0.44348257780075073,
0.217888742685318,
-0.6528491973876953,
-0.059007711708545685,
1.0993967056274414,
-0.34979167580604553,
0.09530530869960785,
-0.7467169761657715,
0.19957256317138672,
-0.34528958797454834,
-0.060441434383... |
In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appear in th... | Output: show last flight from philadelphia to boston
| 2 | NIv2 | task184_break_generate_question | fs_opt | [
0.986639678478241,
-0.13921377062797546,
-0.7476146221160889,
0.5810848474502563,
0.5539517402648926,
-0.5208439230918884,
0.9885412454605103,
0.32024121284484863,
-0.5571478605270386,
0.5083946585655212,
-0.018001791089773178,
0.3393551707267761,
0.2073589712381363,
0.13305515050888062,
... |
Given the task definition and input, reply with output. In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In the translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
हंलांकि उनके दल ... | Though not every one in his group agreed with him but the names of Bhagat Singh and Battukeshwar Dutt were unanimously decided. | 5 | NIv2 | task424_hindienglish_corpora_hi_en_translation | zs_opt | [
-0.6858164668083191,
0.19049757719039917,
0.3241308629512787,
-0.10930339992046356,
-0.2655215859413147,
-0.5624668002128601,
1.0177459716796875,
-0.045686863362789154,
0.23735472559928894,
-0.2931126356124878,
-0.887756884098053,
0.3738310933113098,
-0.2487523853778839,
-0.038924485445022... |
The input is a conversation between an automated system and a user, followed by a question. The user is looking for suggestions for pubs, restaurants and coffee shops in Cambridge. In the dialogue, the user may provide some criteria for the type of place they want such as price range, cuisine, etc. Similarly, the user ... | No
| 3 | NIv2 | task1501_dstc3_answer_generation | fs_opt | [
1.0514198541641235,
0.08317530900239944,
-0.09930295497179031,
-0.04190976172685623,
0.3296421468257904,
-0.946846604347229,
0.5969911813735962,
0.7366670370101929,
-0.252255380153656,
0.06853325664997101,
0.3923053741455078,
0.07036517560482025,
-0.017110928893089294,
0.03833853453397751,... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
وأعتقد أنه في القريب سوف ترى المرضى يعالجون بواسطة خلاياهم الجذعية المستخرجة من الدهون أو المستخرجة من ... | Questa è la comparazione di robustezza del filo di sicurezza di 21 specie di ragni. | 0 | NIv2 | task1106_ted_translation_ar_it | fs_opt | [
-0.3684004545211792,
0.22808846831321716,
-0.15816658735275269,
-0.8148963451385498,
-0.4494973421096802,
-0.37706953287124634,
0.8456116318702698,
0.5451651811599731,
0.045071523636579514,
-0.23771271109580994,
-0.1207074299454689,
-0.08230181783437729,
-0.7466716766357422,
0.303591579198... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Farsi.
[Q]: وبالفعل إنقراض شامل يحصل في حقولنا وفي نظامنا الزراعي
[A]: به این معنا که یک انقراض عظیم در در زمین های ما ، و سیستم کشاورزی مان در راه است.
[Q]: لذا فهو قدوتنا. لعالم سلمي.. هو واحد من الرموز التي مازالت على قيد الحياة... | هنگامی که هات داگش را تا نصفه خورده بود ، وازکتومی اش تمام شده بود ، و او بسیار خوشحال بود. هنگامی که هات داگش را تا نصفه خورده بود ، وازکتومی اش تمام شده بود ، و او بسیار خوشحال بود.
| 5 | NIv2 | task1108_ted_translation_ar_fa | fs_opt | [
-0.33952784538269043,
0.5660309791564941,
-0.13627158105373383,
-0.4188133478164673,
-0.4770435690879822,
-0.8396682739257812,
0.7617290019989014,
0.2554374933242798,
-0.1699090600013733,
0.3356305956840515,
-1.2167987823486328,
-0.13573582470417023,
-0.8904457092285156,
0.1743630468845367... |
Definition: In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
Input: What is the top level of schooling that is affected by the Gates Foundation's reforms?, Context: The K-12 and higher education reform programs of the Gates Foundation have been cr... | higher education | 2 | NIv2 | task1295_adversarial_qa_question_answering | zs_opt | [
-0.06906691938638687,
0.16992780566215515,
0.07517959922552109,
-0.7071013450622559,
-0.20500141382217407,
-0.2979147136211395,
0.554094672203064,
1.2580561637878418,
0.3736332058906555,
0.3161347508430481,
0.10769259929656982,
0.17280001938343048,
-0.9044816493988037,
-0.02291893586516380... |
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.
しかしガンが驚くべき進化の適応を果たしたのがタスマニアデビルの事例だったのです
Output: | Y es aquí donde el cáncer del demonio de Tasmania ha adquirido una adaptación evolutiva absolutamente sorprendente. | 1 | NIv2 | task1223_ted_translation_ja_es | zs_opt | [
-0.38085466623306274,
0.47891509532928467,
-0.08589047938585281,
-0.3895895481109619,
-0.41448795795440674,
-0.5213041305541992,
0.35360187292099,
0.8493085503578186,
0.31409889459609985,
-0.09213844686746597,
-0.41073429584503174,
-0.028088191524147987,
-0.7419939041137695,
0.638366401195... |
instruction:
In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is intentionally offensive, 2) no, otherwise. Also, generate label 'no' for offensive statements that appear to be unintentional, or non-offensive statements th... | No
| 9 | NIv2 | task607_sbic_intentional_offense_binary_classification | fs_opt | [
-0.2426227331161499,
0.21559813618659973,
0.6510533094406128,
0.49253347516059875,
0.46310192346572876,
-0.3713752031326294,
0.2287243753671646,
0.5976855754852295,
0.4911579489707947,
0.23159530758857727,
-0.07673114538192749,
-0.5259435176849365,
-0.8971658945083618,
-0.19565518200397491... |
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