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 pair of sentences, sentence 1 and sentence 2. Your job is to write a single word that describes the genre that the two sentences belong to, such as face-to-face, government, letters, 9/11, slate, telephone, travel, verbatim, oup, fiction.
--------
Question: Sentence 1: yeah but who cares about my opinion Sentence 2: I know that no one cares what I think.
Answer: telephone
Question: Sentence 1: He was too distraught. Sentence 2: He was thrilled!
Answer: fiction
Question: Sentence 1: Planning and organizing for this final merger has been extensive, and a merger website at www.wvlegalservicesmerger.org helps facilitate the process. Sentence 2: The planning for the merger was swift and easy.
Answer: | government
| 7 | NIv2 | task197_mnli_domain_answer_generation | fs_opt | [
-1.2784534692764282,
0.5904203653335571,
0.4877093434333801,
-0.6440343856811523,
0.04452861100435257,
0.28785428404808044,
0.19047744572162628,
0.6503167748451233,
0.3674670457839966,
-0.14720681309700012,
-0.22365179657936096,
0.11866459250450134,
-0.5373088717460632,
-0.21763876080513,
... |
Teacher:Read the given sentence and if it is a general advice then indicate via "yes". Otherwise indicate via "no". advice is basically offering suggestions about the best course of action to someone. advice can come in a variety of forms, for example Direct advice and Indirect advice. (1) Direct advice: Using words (e.g., suggest, advice, recommend), verbs (e.g., can, could, should, may), or using questions (e.g., why don't you's, how about, have you thought about). (2) Indirect advice: contains hints from personal experiences with the intention for someone to do the same thing or statements that imply an action should (or should not) be taken.
Teacher: Now, understand the problem? Solve this instance: Your ' clingy ness ' comes from your childhood and your relationship with your parents .
Student: | no | 6 | NIv2 | task115_help_advice_classification | zs_opt | [
-0.4032592177391052,
0.6689127683639526,
0.18282371759414673,
-0.10669756680727005,
-0.02795412205159664,
-1.1144120693206787,
0.9400792717933655,
0.6502386331558228,
-0.24669243395328522,
0.06277740001678467,
-0.21105629205703735,
-0.490593284368515,
-0.865180492401123,
-0.408586144447326... |
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.
(Aplausos) O interesante é que a prensa non podía entendelo.
Output: | (Aplausos) O que era interessante é que os media não conseguiam entrar. | 1 | NIv2 | task1246_ted_translation_gl_pt | zs_opt | [
-0.6770773530006409,
0.8427075147628784,
0.06797106564044952,
-0.42513787746429443,
0.0017433231696486473,
-0.3897494077682495,
-0.180982306599617,
0.572338879108429,
0.3141155242919922,
-0.0023481608368456364,
-0.755768358707428,
-0.11808978021144867,
-0.6640270948410034,
0.07964693009853... |
TASK 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 have to determine whether, as a result of the Head, PersonX may feel what is mentioned in the Tail or not. In this task, the feeling is an emotional reaction on the part of X or other participants in an event. For example, as a result of gift-giving, X might feel good about [one]self. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
PROBLEM: Head: PersonX quits smoking<sep>Tail: healthier
SOLUTION: Yes
PROBLEM: Head: PersonX crowds around PersonY<sep>Tail: good for being near them
SOLUTION: Yes
PROBLEM: Head: PersonX changes PersonX's form<sep>Tail: powerful
SOLUTION: | Yes
| 8 | NIv2 | task1203_atomic_classification_xreact | fs_opt | [
0.4521504044532776,
-0.15562394261360168,
0.08041410893201828,
-0.34033897519111633,
-0.17684511840343475,
-0.9836974143981934,
1.3289873600006104,
1.073559045791626,
-0.4490703344345093,
-0.252536803483963,
-0.344767689704895,
-0.37999290227890015,
-0.9162671566009521,
-0.2310525327920913... |
You are given a statement written in Assamese. 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 .
[Q]: Statement: ১৯৪৪ চনত স্নাতক পাঠ্যক্ৰম গ্ৰহণৰ বাবে <MASK> আহে, তেতিয়া ভাৰতৰ কমিউনিষ্ট পাৰ্টিৰ সাংস্কৃতিক দল ভাৰতীয় গণনাট্য সংঘ বা আইপিটিএ’ ত (Indian Peoples Theater Association) যোগদান কৰে। এই সময়ত তেওঁ গান লিখা আৰু সেই গানবোৰৰ বাবে সুৰ দিয়া আৰম্ভ কৰে। ভাৰতীয় গণনাট্য সংঘৰ সাংস্কৃতিক দলটোৱে বিভিন্ন চহৰ আৰু গাঁও ভ্ৰমন কৰি, এই গানসমূহক সাধাৰণ মানুহৰ কাষলৈ লৈ আনে যিবোৰে কিছুদিন পাছত ব্যাপক জনপ্ৰিয়তা লাভ কৰে।
Option A: কলকাতাত
Option B: অসমৰ
Option C: ভাৰতীয়
Option D: কলকাতালৈ
[A]: কলকাতালৈ
[Q]: Statement: ইম্ফল (ꯏꯝꯐꯥꯜ), <MASK>ৰ মণিপুৰ ৰাজ্যৰ ৰাজধানী আৰু মহানগৰ। চহৰ খনৰ কেন্দ্ৰত পুৰণি মণিপুৰ ৰাজ্যৰ ৰাজ হাউলি কাংলা মহলৰ ভগ্নাৱশেষ চাৰিওফালে গড়াৰে আৱৰি আছে। দ্বিতীয় বিশ্বযুদ্ধৰ সময়ত ১৯৪৪ চনৰ মাৰ্চ মাহৰ পৰা জুলাইলৈকে ইয়াত ইম্ফল যুদ্ধ সংঘটিত হৈছিল।
Option A: কলকাতা
Option B: মণিপুৰ
Option C: বেংগালুৰু
Option D: ভাৰত
[A]: ভাৰত
[Q]: Statement: শোণিতপুৰ জিলা অসম ৰাজ্যৰ এখন প্ৰশাসনিক জিলা৷ জিলাখনৰ সদৰ ঠাই <MASK>। শোণিতপুৰ জিলা প্ৰাকৃতিকভাৱে অতি সুন্দৰ এখন জিলা আৰু বিভিন্ন জাতি-জনগোষ্ঠীৰ মিলনভূমি। শোণিতপুৰ জিলা বিভিন্ন ঐতিহাসিক সমলেৰে চহকী।
Option A: তেজপুৰ
Option B: দ-পৰ্বতীয়া
Option C: ঢেকীয়াজুলি
Option D: উমাটুমনি
[A]: | তেজপুৰ
| 5 | NIv2 | task944_wiki_cloze_as_multiple_choice_question_answering | fs_opt | [
0.03365735337138176,
0.966731607913971,
0.35694462060928345,
0.03300272673368454,
0.1752394288778305,
-0.931990385055542,
0.26165175437927246,
0.7122535705566406,
0.2235231250524521,
-0.14040368795394897,
0.38234883546829224,
0.631152331829071,
-0.6135308742523193,
-0.44915392994880676,
... |
Q: Adverse drug reactions are appreciably harmful or unpleasant reactions resulting from an intervention related to the use of medical products, which predicts hazard from future administration and warrants prevention or specific treatment, or alteration of the dosage regimen, or withdrawal of the product. Given medical case reports extracted from MEDLINE, the task is to classify whether the case report mentions the presence of any adverse drug reaction. Classify your answers into non-adverse drug event and adverse drug event.
Each case (stage IB and IA) occurred after initiation of the subcutaneous anti-tumor necrosis factor medications etanercept and adalimumab, respectively.
A: | non-adverse drug event | 7 | NIv2 | task1495_adverse_drug_event_classification | zs_opt | [
0.4211176633834839,
0.03305321931838989,
0.08687815070152283,
-0.4846121072769165,
-0.4674285650253296,
-0.39915964007377625,
0.15039989352226257,
1.197340965270996,
0.922516405582428,
0.10090021044015884,
-0.8405705690383911,
0.18851009011268616,
-0.7060111165046692,
-0.48137348890304565,... |
Q: You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.
È comunicandolo in una forma semplice e chiara, che il lettore può comprenderlo.
A: | É comunicar de uma forma simples e clara, que o nosso leitor perceba à primeira. | 7 | NIv2 | task1255_ted_translation_it_pt | zs_opt | [
-0.43419331312179565,
1.2100260257720947,
0.2882609963417053,
-1.2438932657241821,
0.03882962837815285,
-1.2200300693511963,
-0.27196240425109863,
0.650237500667572,
0.21619583666324615,
-0.07299909740686417,
-0.31798693537712097,
-0.02816751040518284,
0.08114360272884369,
0.33693143725395... |
You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two or more complete sentences connected without any punctuation). The poem should not be too long or too complex, because it should feel like it is written by younger person without high level of literature education.
Example: Onomatopeia sounds
Example solution: my friend call this morning to hear the different sound she collect them in a bag and call me to her town the singing of the kettle the clanging of the anvil the ringing of the phone the wailing of the siren
Example explanation: the poem is related to sounds, and is in a style that resembles a poem instead of other kind of texts.
Problem: Scars That Are Skin Deep
| Solution: scar these be the type of scar that can not be see scar that be skin-deep do these scar define u a a person if we reveal these scar will it at least provide some compassion and sympathy in people you see these scar be form when people injure you verbally or physically these scar all have meaning to them so if you dona't want anyone to evolve these scar before you assume learn before you judge understand before you hurt feel before you say think | 5 | NIv2 | task1711_poki_text_generation | fs_opt | [
-0.18986478447914124,
1.7318912744522095,
0.0020600655116140842,
-0.6420106887817383,
-0.2807045876979828,
-0.6417722702026367,
0.8170590400695801,
0.46279263496398926,
0.27267035841941833,
-0.3570079505443573,
-0.336882084608078,
0.5255999565124512,
-0.9359158873558044,
-0.074023552238941... |
Q: Translate the given Spanish text to English
The watch face (12) indicates a time of day in an analog format.
A: | La carátula de reloj (12) indica una hora del día en un formato analogico. | 7 | NIv2 | task840_para_pdt_en_es_translation | zs_opt | [
-0.5168728232383728,
1.011501431465149,
-0.2798899710178375,
-0.5311844348907471,
-0.6558337211608887,
-0.27326303720474243,
-0.19471538066864014,
0.26760101318359375,
0.28460609912872314,
0.2018461525440216,
0.10182097554206848,
0.07519365847110748,
0.12792444229125977,
0.4317558407783508... |
Detailed Instructions: Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building blocks for a command. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. For commands, 'left' and 'right' are used to denote the direction of an action. opposite turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. Actions and commands do not have quotations in the input and output.
Q: I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_WALK I_WALK I_WALK
A: | walk thrice after turn opposite right thrice | 9 | NIv2 | task129_scan_long_text_generation_action_command_short | zs_opt | [
0.18361030519008636,
1.1726574897766113,
-0.4506843090057373,
-0.0003508094232529402,
-0.19339653849601746,
0.31346285343170166,
-0.049376748502254486,
0.5642462968826294,
-0.4487975835800171,
-0.3245547413825989,
-0.5984295010566711,
-0.05586604028940201,
-0.5857806205749512,
0.1038555800... |
Detailed Instructions: You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
See one example below:
Problem: Alonzo feels angry.
Solution: male
Explanation: The gender of the person is correct and detected mainly based on the name Alonzo.
Problem: The conversation with Nichelle was amazing.
Solution: | female | 4 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | fs_opt | [
-0.6334868669509888,
0.38411587476730347,
-0.5149344205856323,
-0.7064348459243774,
-0.6178544759750366,
-0.5333356857299805,
1.1151758432388306,
-0.23786692321300507,
0.29923465847969055,
-0.04768390208482742,
-0.8004209399223328,
-0.30482518672943115,
-1.0061545372009277,
0.2970615327358... |
You are given a question and some answer options (associated with "A", "B", "C", "D"). You should choose the correct answer based on commonsense knowledge. Avoid answering questions based on associations, the set of answers are chosen deliberately to capture common sense beyond associations. Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D', 'E' and only give one answer for each question.
Ex Input:
George checked the rotor of the Apache, which wasn't powered by internal combustion, but by what?
(A)jet engine (B)helicopter (C)electric motor (D)rotator (E)electrical circuit
Ex Output:
A
Ex Input:
At a grocery store they sell individual potatoes, where does the grocery clerk likely put the potato?
(A)boiling water (B)root cellar (C)rocket ship (D)paper bag (E)underground
Ex Output:
D
Ex Input:
Colorful anemone look somewhat like what object you find on window sills?
(A)intertidal zone (B)coral sea (C)under water (D)flower bed (E)florida keys
Ex Output:
| D
| 1 | NIv2 | task073_commonsenseqa_answer_generation | fs_opt | [
-0.46995580196380615,
-0.031241174787282944,
-0.4722806215286255,
0.386991024017334,
-0.6759680509567261,
-1.1975462436676025,
1.0268759727478027,
0.5538451075553894,
-0.19808544218540192,
0.1505424529314041,
-0.4515163004398346,
0.0623660571873188,
-0.13771051168441772,
-0.191309958696365... |
Instructions: In this task, you're given a dialogue between a customer and a flight booking agent with a gap in the conversation. Your job is to find the answer of the previous dialogue. Avoid using irrelevant extra information while creating the answer. The answer should be relevant to the question before the blank. If you fill the blank with a question, it should have an answer from the agent in the given dialogue. Fill the gap marked with underline.
Input: customer: Hello, Jessica Smith here.
agent: Hello Smith, how can I assist you?
customer: I want to book a flight ticket from DTW to DFW, can you help me?
agent: Sure, I am here to help you. Could you please provide me your travel dates?
customer: My travelling dates are from 09/21 to 09/23.
agent: Flight-1027 is available with UA airlines and the ticket fare is 100 only. Is it ok for you?
customer: Ok, you can proceed with booking my reservation. Thank you for helping me.
agent: Smith, your ticket is booked successfully.
__
agent: Thank you for choosing us and have a nice day.
Output: | customer: Most welcome. | 3 | NIv2 | task574_air_dialogue_sentence_generation | zs_opt | [
-0.15771378576755524,
0.31732410192489624,
-0.725631594657898,
-0.702066957950592,
0.2177954465150833,
-0.20258145034313202,
0.8953580260276794,
-0.15500594675540924,
-0.2635509967803955,
0.7613889575004578,
0.6194411516189575,
0.11915378272533417,
-0.3633074164390564,
0.20292998850345612,... |
Detailed Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Farsi.
Problem:Por isso, preferimos olhar para esta imagem e acreditar nela.
Solution: | پس انتخاب میکنیم که این عکسهارو ببینیم و باور کنیم | 8 | NIv2 | task1282_ted_translation_pt_fa | zs_opt | [
0.07316135615110397,
1.0530415773391724,
0.23701544106006622,
-0.2020145058631897,
-0.5765126347541809,
-0.09043433517217636,
1.1037886142730713,
0.38700103759765625,
1.216055154800415,
-0.12852352857589722,
-1.1271456480026245,
0.2346930354833603,
-0.4860917329788208,
0.6665359139442444,
... |
Definition: In this task, you are given a sentence. You are expected to recognize the name of gene or protein. Although there might be several correct answers, you need to write one of them.
Input: In transfection studies , either constitutively active Vav or Rac could complement constitutively active calcineurin to activate NF - AT - dependent transcription .
Output: | NF - AT | 2 | NIv2 | task1480_gene_extraction_jnlpba_dataset | zs_opt | [
-0.24307763576507568,
-0.25039637088775635,
-0.3182947635650635,
0.35913148522377014,
-0.26956504583358765,
0.040868669748306274,
1.1351807117462158,
0.3844130039215088,
0.28159791231155396,
-0.1306828409433365,
-0.7538082003593445,
-0.37140730023384094,
-0.8435758352279663,
0.515236139297... |
Definition: In this task, you will be given a sentence, and you need to identify the set of coreference words. Coreferences are generally a set of words in the text that refer to the same person or thing. Your output set of coreference words must be strictly present in the given input sentence. Do not use any outside knowledge to create the set of coreference words. If there is a 'the' article before the person or thing you should include 'the' as well. Please separate the coreference words by commas in the output.
Input: The assistant asked the physician if he needs any help .
Output: | the, physician, he | 2 | NIv2 | task1664_winobias_text_generation | zs_opt | [
-0.12911143898963928,
0.7951232194900513,
-0.693449854850769,
0.47951579093933105,
0.2837676405906677,
-0.3139216899871826,
0.7833651304244995,
0.35845133662223816,
0.4180455505847931,
-0.5194860696792603,
-1.2930105924606323,
-0.23452582955360413,
-0.3108273148536682,
0.08435218036174774,... |
Given a sentence in English language, translate the sentence to Somali language keeping the meaning of the original sentence intact
One example is below.
Q: English sentence: Lionel Messi is the greatest football player of all time
A: Lionel Messi waa ciyaaryahanka ugu weyn kubadda cagta abid
Rationale: The output exactly translates the sentence to it's somali equivalent. Even though the phrase 'greatest player of all times' is translated to 'greatest player ever', the meaning remains the same.
Q: English sentence: 9 The Lord knoweth how to deliver the godly from temptation, but to reserve the unjust unto the day of judgment to be tormented.
A: | 9 Rabbigu waa yaqaan sida kuwa cibaadada leh jirrabaadda looga samatabbixiyo iyo sida kuwa aan xaqa ahayn loo hayo iyagoo ciqaaban ilaa maalinta xisaabta, | 9 | NIv2 | task446_opus_paracrawl_en_so_translation | fs_opt | [
0.16135399043560028,
0.7103214263916016,
0.045553531497716904,
0.0031156339682638645,
0.16141608357429504,
-1.5991758108139038,
-0.17909902334213257,
0.6045694351196289,
0.43772003054618835,
-0.16659843921661377,
-0.10786575824022293,
1.4057953357696533,
-1.3169376850128174,
0.106988102197... |
Q: 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.
i A combination of judicial and executive functions were vested in the same officer .
A: | न्यायिक तथा कार्यपालक कार्यों का संयोजन अर्थात न्यायाधीश और अभियोजक के कार्य एक ही अधिकारी करता था ; | 7 | NIv2 | task425_hindienglish_corpora_en_hi_translation | zs_opt | [
-0.23293659090995789,
0.36389899253845215,
-0.14415006339550018,
-0.6231726408004761,
0.10889726877212524,
-0.9945113658905029,
-0.2394513487815857,
0.48162326216697693,
-0.03131392225623131,
-0.19683629274368286,
-0.4431227743625641,
-0.23062147200107574,
-0.5089603662490845,
0.5973048210... |
Q: Translate the given Spanish text to English
Methods of generating same are also disclosed.
A: | También se describen métodos para generar los mismos. | 7 | NIv2 | task840_para_pdt_en_es_translation | zs_opt | [
0.08844786882400513,
1.0306775569915771,
0.041899461299180984,
-0.2544419765472412,
-0.1426330804824829,
-0.305882066488266,
0.0816173329949379,
1.4617657661437988,
0.0805259644985199,
0.020435834303498268,
0.16297191381454468,
0.627452552318573,
-0.26612359285354614,
0.3152768611907959,
... |
Teacher:Classify the given hotel review based on the sentiment it expresses into two classes: negative and positive.
Teacher: Now, understand the problem? Solve this instance: This hotel was very beautiful. I went with a group of 4 friends and we had a blast. It was very centrally located and was close to all sorts of transportation. The Continental breakfast was magnificent! I didn't see much of the staff but all of the men at the front door were extremely helpful.
Student: | positive | 6 | NIv2 | task902_deceptive_opinion_spam_classification | zs_opt | [
-0.33352556824684143,
0.13770747184753418,
-0.24983742833137512,
-0.24427424371242523,
-0.15978193283081055,
-0.6882038116455078,
0.8612185716629028,
0.30006512999534607,
0.9339395761489868,
0.05297251045703888,
-0.08131451159715652,
0.12717768549919128,
-0.5579074025154114,
-0.62805169820... |
Teacher:You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Teacher: Now, understand the problem? Solve this instance: A musicie tylko zauważyć, że gdzie jest światło, tam jest potencjalny sposób przesyłu danych.
Student: | ويجب عليك ان تلاحظ فقط, حيث لدينا الضوء هنالك امكانية لبث البيانات | 6 | NIv2 | task1259_ted_translation_pl_ar | zs_opt | [
-0.536115288734436,
0.39450564980506897,
-0.22664745151996613,
-0.8158999085426331,
-0.18521681427955627,
0.025332143530249596,
1.5499762296676636,
0.09444768726825714,
0.16419944167137146,
0.21792510151863098,
0.10911549627780914,
-0.01810293458402157,
-0.7619035243988037,
-0.194352626800... |
Instructions: 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 belief does not match reality, and the third is when an individual has a false belief about another individual's beliefs. The question will ask about the location of an object in the story with respect to either none or one of the three scenarios. Note that there are distractor sentences in each story that are unrelated to the question and are designed to confuse the reader.
Input: Aiden entered the TV_room. Mason entered the TV_room. The cabbage is in the green_box. Aiden moved the cabbage to the red_box. Aiden entered the garage. Mason entered the garage. The orange is in the red_cupboard. Phone rang. Aiden moved the orange to the blue_pantry. Phone rang. Alexander entered the garage. Benjamin entered the garage. The potato is in the blue_pantry. Alexander moved the potato to the red_cupboard. Alexander entered the staircase. Aiden entered the staircase. Phone rang. The carrot is in the green_crate. Alexander moved the carrot to the green_treasure_chest. Where is the carrot really?
Output: | green_treasure_chest | 3 | NIv2 | task154_tomqa_find_location_hard_noise | zs_opt | [
0.3754291832447052,
-0.46193745732307434,
-0.43739938735961914,
-0.29504209756851196,
-0.37862062454223633,
-0.4858672022819519,
0.0816735327243805,
0.9768208265304565,
-0.1864631175994873,
-0.15207630395889282,
-0.19369874894618988,
0.5603652000427246,
-0.28608810901641846,
-0.17142447829... |
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.
One example: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo is actually funny! Maureen Stapleton is a scene stealer. The Moroni character is an absolute scream. Watch for Alan The Skipper Hale jr. as a police Sgt.
Solution is here: positive
Explanation: There is an expression of appreciation in this movie review, hence we can say it's positive.
Now, solve this: When I saw this movie cover, the first thing I thought was that it was made for video. The second thing that came to mind was how similar this looked to another terrible movie "Darkness Falls", the tale of this dumb witch who killed people in the dark. Unfortunately, Darkness Falls was quite the masterpiece compared to this pile of garbage, and this movie should not have been made.The film starts off with a small back story for the witch, or, more like a pointless introduction of two little kids who are going to go meet the tooth fairy in hopes of her giving them a shiny new bicycle for their tooth. The opening is filmed poorly, and like the rest of the movie, it's certainly not scary. In present time, the movie is about Peter (Lochlyn Munroe). Peter's renting out his house, and his ex-girlfriend Darcy (Chandra West), and her daughter Cole come to stay there. Cole meets a neighborhood child, and they talk of the Tooth Fairy, and how you shouldn't lose your tooth, or she'll come for you. Unfortunately seconds later, it looks like the Tooth Fairy steals her bike and knocks her tooth out (How ironic). Will Cole survive the wrath of the Tooth Fairy, and will her mother and Peter be able to save her, and rekindle their romance...this is a bad movie, you could probably figure it out.One of the main problems with this idiotic film is how undefined the Tooth Fairy is. They say she kills you if you lose your tooth, but nope. She's more like a serial killer who kills at random, and if you lose your tooth, you're definitely going to go. She steals a bike, so apparently she's a thief too. I said earlier that the idea for this movie was based on Darkness Falls, but where did they get the inspiration for the Tooth Fairy's appearance? Let's see. She looks like a burn victim, and she previously went around the neighborhood slaughtering children. Hmmm...it's almost as though she's an exact rip-off of Freddy Krueger from the "Nightmare on Elm Street" films. And this is not the worst part of this awful mess, the climax is. This movie might have the most laughable climax (Not literally laughable because I found it more sickening than funny) I've ever seen. Don't see this.Just a little trivia. Lochlyn Munroe was in Scary Movie, and Jianna Ballard was in Scary Movie 3, and they both were in this, so apparently Scary Movie stars are forced to end out their career with bad scary movies.My rating: 1/2 out of ****. 80 mins. R for violence.
Solution: | negative | 6 | NIv2 | task284_imdb_classification | fs_opt | [
0.5461606979370117,
0.7178609371185303,
-0.8435220122337341,
0.33494675159454346,
0.36766523122787476,
0.3339153230190277,
0.9999775290489197,
1.5300174951553345,
-0.5085676908493042,
-0.0868023931980133,
-0.3832642138004303,
0.40349382162094116,
-0.3356580436229706,
-0.1424161046743393,
... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-explicit if it explicitly portrays sexual matters.
Q: Comment: Not sure there's much to be proud of in being welcomed by the king of a hereditary kleptocracy that holds public beheadings, denies civil rights to women, provides clandestine financial support to terrorist organizations, and spends hundreds of billions of dollars exporting its extremist Wahabi form of Islam around the world.
A: | Non-sexual-explicit | 4 | NIv2 | task323_jigsaw_classification_sexually_explicit | zs_opt | [
-0.5691463947296143,
0.21474589407444,
0.5990169048309326,
-0.23204168677330017,
-0.2692793905735016,
-0.1554795205593109,
0.31030941009521484,
0.8379751443862915,
-0.25176072120666504,
0.8714022636413574,
-0.09317132085561752,
0.03512781113386154,
-0.5760040283203125,
-0.4040147066116333,... |
Given a math problem with context and a question and 5 answer choices, the task is to provide the correct answer choice based on the problem. You must choose one of the given answer choices by letter: a, b, c, d, or e; anything else is invalid.
Q: Problem: solution y is 30 percent liquid x and 70 percent water. if 2 kilograms of water evaporate from 6 kilograms of solution y and 2 kilograms of solution y are added to the remaining 4 kilograms of liquid, what percent of this new solution is liquid x ?
Options: a. 33 %, b. 35 1 / 2 %, c. 37 %, d. 40 %, e. 42 %
A: d
****
Q: Problem: for each color copy, print shop x charges $ 1.20 and print shop y charges $ 1.70. how much greater is the charge for 40 color copies at print shop y than at print shop x ?
Options: a. $ 14, b. $ 16, c. $ 18, d. $ 20, e. $ 22
A: d
****
Q: Problem: a salesman ’ s terms were changed from a flat commission of 5 % on all his sales to a fixed salary of rs. 1000 plus 2.5 % commission on all sales exceeding rs. 4,000. if his remuneration as per new scheme was rs. 600 more than that by the previous schema, his sales were worth ?
Options: a. 12002, b. 12000, c. 12028, d. 12020, e. 12013
A: | b
****
| 4 | NIv2 | task1678_mathqa_answer_selection | fs_opt | [
-0.3080196976661682,
-0.07803532481193542,
-0.2207758128643036,
-0.43541109561920166,
0.6095612049102783,
-0.15332189202308655,
0.012606656178832054,
1.197544813156128,
0.2921133041381836,
0.27444300055503845,
0.1156715601682663,
-0.2687036395072937,
-0.38521790504455566,
-0.02936994284391... |
Teacher: 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).
Teacher: Now, understand the problem? If you are still confused, see the following example:
पहले दो को अविश्वसनीय मानकर बाकी पांच मुखबिरों के आधार पर मुकदमा चलाया गया|
Solution: The first two were found unreliable and the prosecution case rested mainly on the evidence of the remaining five approvers .
Reason: Hindi sentence is properly converted into English sentence because the input also says that the first two were judged to be untrustworthy, thus the prosecution relied heavily on the testimony of the remaining five approvers. Also, the translated sentence is in a sentence case.
Now, solve this instance: सैन इसीड्रो में अपनी जबरन छुट्टी के दौरान और कुछ समय तक लिखी गईं विशिष्ट और उच्च कोटि की कविताएं जो बहुत ही सुकुमार और उत्फुल्ल थीं और इनसे यही लगता है कि यह अवकाश काफी रचनात्मक और फलदायक रहा ।
Student: | That this enforced holiday was fruitful in . a truly creative sense is evidenced from the quality of poems exquisite and haunting in their playful and restrained tenderness which he wrote during his stay at San Isidro and for some time after . | 2 | NIv2 | task424_hindienglish_corpora_hi_en_translation | fs_opt | [
-0.06998474150896072,
-0.06357184052467346,
0.6301038861274719,
-0.23199057579040527,
0.32754313945770264,
-1.2353572845458984,
-0.09131771326065063,
0.565376877784729,
-0.04397067427635193,
-0.39264145493507385,
-0.38993409276008606,
-0.1521160900592804,
-0.34672218561172485,
-0.051448244... |
Instructions: This task is about translating a given Spanish language sentence to English.
Input: Todas esas cosas que estás diciendo, Jacque... ¿podrían ser construidas con lo que sabemos hoy?
Output: | Are all of these things you are saying, Jacque... could they be built with what we know today? | 3 | NIv2 | task1692_qed_amara_translation | zs_opt | [
0.12043106555938721,
1.887332558631897,
1.098584532737732,
-0.002140618162229657,
-0.12394312024116516,
-0.8086802959442139,
0.4023129642009735,
0.8791812658309937,
0.24426326155662537,
0.434848815202713,
0.5984354615211487,
0.0628938227891922,
-0.649887204170227,
0.05266126990318298,
-0... |
Given the task definition, example input & output, solve the new input case.
You will be given a sentence. Check whether the sentence is grammatically correct and is meaningful. If the sentence is grammatically correct, then answer with '1', otherwise answer with '0'.
Example: Our friends won't buy this analysis, let alone the next one we propose.
Output: 1
Since all the entities are in thier correct positions the statement is grammatically correct.Hence, the output is 1.
New input case for you: How tall did Sheila marry a man?
Output: | 0 | 1 | NIv2 | task1346_glue_cola_grammatical_correctness_classification | fs_opt | [
-0.3447498679161072,
1.0814611911773682,
0.009025165811181068,
-0.006207261234521866,
0.5893298387527466,
-0.5875828266143799,
0.3635810613632202,
0.8669134378433228,
0.4288896322250366,
-0.22778576612472534,
-0.40216025710105896,
-0.3972361981868744,
0.10602428764104843,
-0.71510386466979... |
Teacher:Based on the given question and tppic, give an answer. The answer is available on on the internet. The questions are mostly centered around a single named entity.
Teacher: Now, understand the problem? Solve this instance: concept: Robert H Schuller question: what happened to rev. robert schuller?
Student: | ['Televangelist', 'Writer'] | 6 | NIv2 | task1601_webquestions_answer_generation | zs_opt | [
-0.6917848587036133,
0.5754649639129639,
0.12101566791534424,
-0.47657743096351624,
-0.7204388380050659,
-0.3578729033470154,
0.3340258002281189,
-0.233364999294281,
1.2082149982452393,
-0.7645010948181152,
-0.09687172621488571,
-0.11264915019273758,
-0.18156808614730835,
-0.26697665452957... |
Detailed Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Portugese.
Q: O rostro ancián tórnase miserable.
A: | A cara mais velha está miserável. | 9 | NIv2 | task1246_ted_translation_gl_pt | zs_opt | [
0.35169780254364014,
1.719952940940857,
0.42473024129867554,
-1.5112501382827759,
-0.4136013388633728,
-0.5002849102020264,
-0.5164541006088257,
1.7028850317001343,
-0.06503225117921829,
0.04373249039053917,
-0.2189529538154602,
-0.46406006813049316,
-0.5788550972938538,
0.3089683949947357... |
We would like you to classify each of the following sets of argument pairs (discussing Gun Control) into either SIMILAR or NOT SIMILAR. A pair of arguments is considered SIMILAR if the arguments are about the same FACET (making the same argument), and is considered NOT SIMILAR if they do not have the same FACET. A FACET is a low level issue that often reoccurs in many arguments in support of the author's stance or in attacking the other author's position.
Example: Sent1: Ian brought up the point that guns make you more likely to kill a person.
Sent2: You can't be a man unless you're swinging a gun, and no matter how many guns you buy, it's still missing for you .
Example solution: Not similar
Example explanation: The first argument supports gun control by saying possessing guns make people likely to kill, the second disapproves it by saying men need guns.
Problem: Sent1: The anti gun/gun control advocate way at dealing with deaths caused by guns is to limit the right to bear arms.
Sent2: Anybody that wants gun control laws that infringe on the right to bear arms is a gun haters!
| Solution: Not similar | 5 | NIv2 | task146_afs_argument_similarity_gun_control | fs_opt | [
-0.17160414159297943,
0.08454392850399017,
-0.07476237416267395,
0.2799637019634247,
0.21420879662036896,
-0.980624794960022,
0.22194916009902954,
1.4426443576812744,
0.023066557943820953,
0.6752129793167114,
-0.6741962432861328,
0.050178080797195435,
-0.7308746576309204,
-0.24658147990703... |
You will be given a definition of a task first, then some input of the task.
In this task you are given a list of triplets of the form [subject, predicate, object] and the output should be a question based on the triplets but with the subject and/or object replaced with blanks (represented using two or more consecutive underscores). Triplet values encompassed in [*] are special tokens that can be replaced with synonyms. The objective is to construct a question in a manner that (a) captures the facts specified in at least one of the triplets, and (b) ideally contains a limited number of blanks such that it is a well-formed question that is easy to answer. A blank can represent a single word or a phrase.
[['The Wrestlers', 'food', 'English'], ['The Wrestlers', 'priceRange', 'cheap'], ['The Wrestlers', 'familyFriendly', 'yes']]
Output: | The family friendly food place, _____, serves decent full _____ breakfasts at low prices. | 1 | NIv2 | task1407_dart_question_generation | zs_opt | [
-0.703603208065033,
0.4778853952884674,
-0.4550148844718933,
0.10025833547115326,
0.18946591019630432,
0.600345253944397,
0.9668229222297668,
-0.0817156434059143,
0.36235377192497253,
-0.44476985931396484,
-0.5758984684944153,
0.10566490143537521,
-0.03256669640541077,
-0.17775440216064453... |
Teacher: In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen before that sentence, or are likely to have happened before it. Does any of them directly cause it, or simply make it possible? You should write your answer in the form " A >causes/enables> B". Try to use phrases and sentences from the story to compose your answer when possible.
Teacher: Now, understand the problem? If you are still confused, see the following example:
story: It was bedtime at our house. Two of the three kids hit the pillow and fall asleep. The third is a trouble maker. For two hours he continues to get out of bed and want to play. Finally he becomes tired and falls asleep.
selected sentence: Finally he becomes tired and falls asleep.
Solution: A kid wants to play before sleep >Causes/Enables> A kid eventually falls asleep
Reason: The selected sentence is about a kid falling sleep, the answer correctly identifices an event causing the sentence to happen.
Now, solve this instance: story: Jen was awaiting the new album by lil gil. The album was coming out the next day. When the day came, she rushed out to buy it. By the time she got there, there were no more cds. They sold out in an hour.
selected sentence: When the day came, she rushed out to buy it.
Student: | The album comes out >Causes/Enables> Jen goes to buy it | 2 | NIv2 | task614_glucose_cause_event_detection | fs_opt | [
-0.021959153935313225,
0.3865879476070404,
-0.5946124196052551,
-0.2061159759759903,
-0.4641536772251129,
-0.37207984924316406,
0.23608633875846863,
0.33411023020744324,
-0.9295482635498047,
0.05674874410033226,
-0.35067176818847656,
0.38400453329086304,
-0.8125447630882263,
-0.46613702178... |
Given a sentence in the Japanese, provide an equivalent translation in Thai that retains the same meaning through the translation. In translation, keep numbers as it is.
Q: 政府のスポークスマンによると、「処刑はいかなる暴力も、叫びも、喜びの泣き声もなく行われた」。
A: โฆษกรัฐบาลอิรักแจ้งว่า "การประหารชีวิต[เขา]มีขึ้นโดยไม่เกิดเหตุรุนแรงใดๆ ไม่มีเสียงกู่ตะโกนหรือเสียงโห่ร้องแสดงความดีใจ"
****
Q: 論理的には、特注レーザーのように、恒常的な光源による圧力によって推進される航空機は、光の速さに到達するスピードまで達することができる。
A: โดยหลักการตามทฤษฎีแล้ว เครื่องบินจะขับเคลื่อนด้วยใบพัดที่ถูกแรงอัดจากแหล่งของแสงคงที่ เช่นเลเซอร์นำทาง จะสามารถเร่งความเร็วได้ใกล้เคียงความเร็วของแสง
****
Q: 容疑者は女性の人質とともに脱出し、銀行従業員の車で逃走したが、1マイルも行かずにバリケードが彼らを止めた。
A: | ผู้ต้องสงสัยทั้งสองได้หลบหนีออกไปพร้อมกับตัวประกันหญิงหนึ่งคน ด้วยการขับรถของลูกจ้างธนาคารคนหนึ่ง แต่ก็ขับไปได้ไม่ถึงหนึ่งไมล์ก่อนที่เจอด่านกั้นถนนหยุดพวกเขาเอาไว้
****
| 4 | NIv2 | task1127_alt_ja_th_translation | fs_opt | [
-0.2600690722465515,
0.4401400089263916,
-0.09375229477882385,
-0.5664620399475098,
-0.2285933643579483,
-0.46748965978622437,
0.9121959209442139,
0.9172775149345398,
-0.010584758594632149,
-0.022456038743257523,
-0.6836621761322021,
0.3803556263446808,
-0.920203685760498,
0.50070351362228... |
In this task, you are provided with an article of the legal acts. Your task is to classify it into three categories (Regulation, Decision and Directive) based on its content: 1) Regulation is a binding legislative act that must be applied in its entirety on a set date across all the member states (European Union countries). 2) Decision is binding on those to whom it is addressed (e.g. an European Union country or an individual company) and is directly applicable. 3) Directive is a legislative act that sets out a goal that all must achieve. However, it is up to the individual countries to devise their own laws on how to reach these goals.
Having regard to the Decree concerning development plans for farms, the existing provisions for the implementation of Directive 72/159/EEC in France continue to satisfy the conditions for financial contribution by the Community to common measures within the meaning of Article 15 of Directive 72/159/EEC. This Decision is addressed to the French Republic. | Decision | 0 | NIv2 | task744_eurlex_classification | zs_opt | [
-0.03689016401767731,
0.3635673522949219,
0.034386180341243744,
0.030415544286370277,
-0.16947819292545319,
-0.08764577656984329,
0.4803481101989746,
0.5820995569229126,
-0.5485467910766602,
0.3955698013305664,
-0.7756376266479492,
0.40678679943084717,
-0.2788197100162506,
-0.1923206448554... |
Q: 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. Among the entities, try to find the best entity that is most likely to fill in "_" and classify the answers based on options.
Washington (CNN) In response to a question Thursday about threats to Jewish centers nationwide, President Donald Trump called a Jewish reporter a liar, told him to sit down and later said anti-Semitism was coming from "the other side." The exchange kicked off as Trump looked through the room at a White House news conference and asked for a question from a "friendly reporter." 'Telephone terrorism' has rattled 48 Jewish centers. Is anyone paying attention? He settled on a reporter who identified himself as Jake Turx, a reporter with Ami Magazine, which bills itself as "a new standard in Jewish media." Turx prefaced his question by saying he did not see evidence the President or his staff were anti-Semitic. He even mentioned Trump's Jewish grandchildren.A reporter from a Jewish magazine asked Trump about threats to dozens of Jewish Community CentersTrump called the question insulting
Questions:We're talking about a rise in anti-_ around the country. (A) Washington (B) CNN (C) Jewish (D) Donald Trump (E) Semitism (F) Trump (G) White House (H) Jake Turx (I) Ami Magazine (J) Turx (K) Jewish Community Centers
A: | (E) | 7 | NIv2 | task302_record_classification | zs_opt | [
0.29909229278564453,
0.5652840733528137,
-0.2617914378643036,
0.27591222524642944,
-0.0014242467004805803,
0.15924352407455444,
0.18914218246936798,
1.0252896547317505,
0.13383862376213074,
0.6366583108901978,
0.1290149986743927,
0.9565132260322571,
-0.9853489995002747,
-0.1606367826461792... |
Q: The provided text is in English, and we ask you to translate the text to the Croatian language. Please bear in mind the following guidelines while translating: 1) We want a natural translation, a formal form. 2) Use the symbols like '#@%$-+_=^&!*' as-is. *Include* the special characters as suited when translating to Croatian. 3) Quantities like millions or billions should be translated to their equivalent in Croatian language 4) Note the input is all case-sensitive except for special placeholders and output is expected to be case-sensitive. 5) The output must have Croatian characters like Ž or č and the output must preserve the Croatian language characters. 6) The input contains punctuations and output is expected to have relevant punctuations for grammatical accuracy.
I have a company that does design and animation, so obviously graffiti is definitely an intricate part of what we admire and respect in the art world.
A: | Vlasnik sam tvrtke koja se bavi dizajnom i animacijom, tako da su graffiti definitivno zamršen dio onoga čemu se divimo i što poštujemo u svijetu umjetnosti. | 7 | NIv2 | task1365_opustedtalks_translation | zs_opt | [
-0.7703831195831299,
0.8522068858146667,
0.034942448139190674,
0.3778398633003235,
0.18352976441383362,
-1.0685008764266968,
-0.0028354404494166374,
0.10157063603401184,
0.08780939877033234,
-0.1626472771167755,
0.3038148283958435,
0.3120555281639099,
-0.4472777843475342,
0.047471415251493... |
Given the task definition, example input & output, solve the new input case.
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 "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it is hard to detect the primary sentiment. Also, assign neutral label to reviews that express no clear sentiment toward an entity or any aspect of it. The "no sentiment expressed" label should be assigned to the reviews where the given aspect didn't discuss in the text.
Example: من این فیلم رو دوست داشتم .شخصیت سارا بهرامی عالی بود و همچنین بازی امین حیایی بعنوان یک مرد خونسرد..بازی مهناز افشار هم عالی بود فیلم روایتی از روایتهای تلخ جامعه مان میباشد<sep>Question: نظر شما به صورت کلی در مورد فیلم دارکوب چیست؟
Output: positive
This is a good example. The sentiment of the review is positive toward the movie.
New input case for you: موضوع فیلم به خودی خود جذاب و بدیع بود. اما بازی ها، فیلمنامه و سایر ظرایف کارگردانی این فیلم در حدی نبود که بخوام نهایتاً تماشای این فیلم رو به دیگران توصیه کنم.<sep>Question: نظر شما در مورد داستان، فیلمنامه، دیالوگ ها و موضوع فیلم وارونگی چیست؟
Output: | mixed | 1 | NIv2 | task525_parsinlu_movie_aspect_classification | fs_opt | [
-0.4160284101963043,
0.3027156591415405,
-0.09790156036615372,
0.31027811765670776,
0.2835066616535187,
-0.017194978892803192,
1.067441463470459,
0.9997022151947021,
0.38453465700149536,
-0.00787720363587141,
-0.010834245942533016,
0.015708256512880325,
-0.06941454857587814,
-0.09457612037... |
You will be given a definition of a task first, then some input of the task.
In this task, you have to generate the title of the recipe given its required ingredients and directions.
ingredients: '2 cans corn', '1 small chopped green chilies', '1 small sour cream', '2 eggs, beaten', '1/4 c. corn meal', '1 (10 oz.) Cheddar cheese', '1 (10 oz.) Monterey Jack cheese', '1 stick butter', '1/2 tsp. salt', '1/4 tsp. Worcestershire sauce',<sep> directions: 'Mix all ingredients.', 'Bake at 350° for 1 hour or until firm. Makes a good luncheon dish.'
Output: | Corn Casserole | 1 | NIv2 | task569_recipe_nlg_text_generation | zs_opt | [
0.026317980140447617,
0.5628297328948975,
-0.028636496514081955,
0.3659091293811798,
-0.13354620337486267,
0.6983734965324402,
0.16555847227573395,
0.26819825172424316,
-0.6916388869285583,
-0.23137062788009644,
0.3978370428085327,
0.09803330898284912,
-0.4437192380428314,
0.10788325965404... |
Definition: 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 be found directly from the passage.
Input: Passage: I am in need of a new bike . I open my laptop and turn it on . The laptop takes 3 minutes to fully turn on . Once loaded , I open my web browser . I type in Amazon.com into the search bar . The website pops up on my screen . Thousands of options for bikes appear . I narrow the search options to only bikes and within my price range of $ 150 . This limits the options that come up . I think about what features I want my bike to have . This narrows my search further . Now , I only have a few hundred options to look through . I scroll down through the results and choose my favorite 3 bikes . I open these options in new tabs and compare and contrast the reviews , features , and appearances of the bikes . Finally , I settle on one . I then confirm my order and wait 5-7 business days until it arrives . Question: What was put in Amazon? Option1: A bell Option2: search for a bike
Output: | search for a bike | 2 | NIv2 | task164_mcscript_question_answering_text | zs_opt | [
1.1689281463623047,
-0.10451176017522812,
-0.656853199005127,
0.8105230331420898,
0.19193196296691895,
0.3381216824054718,
0.930560290813446,
0.6759099960327148,
0.10103806853294373,
0.29836124181747437,
-0.20393818616867065,
0.5634070634841919,
-0.13633276522159576,
-0.014987647533416748,... |
Instructions: 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.
Input: The learning model for retrieval is trained by an oracle constructed using distant supervision. Using the answer labels in the training set, we can find appropriate articles that include the information requested in the question. First, the question and article are embedded into vector sequences, using the same method as the comprehension model. We do not use anonymization here, to retain simplicity. Otherwise, the anonymization procedure would have to be repeated several times for a potentially large collection of documents. These vector sequences are next fed to a Bi-GRU, to produce the outputs $v$ (for the question) and $H_c$ (for the document) similar to the previous section.
Question: How can a neural model be used for a retrieval if the input is the entire Wikipedia?
Output: | Using the answer labels in the training set, we can find appropriate articles that include the information requested in the question. | 3 | NIv2 | task460_qasper_answer_generation | zs_opt | [
-0.8572666645050049,
0.4565621316432953,
-0.08459153771400452,
-0.01665365882217884,
-0.47875434160232544,
0.30243533849716187,
1.0215532779693604,
-0.03529210388660431,
0.4844622015953064,
0.15506672859191895,
-0.7342633008956909,
-0.07015755027532578,
-0.13826915621757507,
0.356827557086... |
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're given a passage, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both passage and link information to create the question. Note that the answer to the question should be exactly the given answer, and if the answer is none, the answer to the question shouldn't be obtainable from the passage or linked information.
Passage: The group was occasionally diverted from strategic missions to carry out air support and interdiction missions. It supported Operation Overlord, the invasion of Normandy by attacking transportation targets, including bridges, along with airfields and strong points in France. On D Day, the squadron and the rest of the 446th Group led the first heavy bomber mission of the day. The 446th aided ground forces at Caen and Saint-Lô during July by hitting bridges, gun batteries, and enemy troops. During Operation Market Garden, the attempt to seize a bridgehead across the Rhine in the Netherlands, the 704th dropped supplies to allied troops near Nijmegen. It struck lines of communications during the Battle of the Bulge. During Operation Varsity in March 1945, it supplied ground and airborne troops near Wesel. The squadron flew its last combat mission on 25 April 1945 against Salzburg, Austria. The group had flown 273 missions and had lost 58 aircraft during the war,
. Link Information: Operation Market Garden was a failed World War II military operation fought in the Netherlands from 17 to 25 September 1944. Answer: from 17 to 25 September 1944
Solution: When did the operation during which the 704th dropped supplies to allied troops near Nijmegen begin?
Why? The passage describes the 704th's actions during Operation Market Garden, and the answer specifies when the operation happened.
New input: Passage: The Abana was sailing from Liverpool to Savannah, Georgia when she was caught in a storm in the Irish Sea. She was spotted at 3 pm drifting in a northwesterly direction with her sails torn to shreds. The crew mistook Blackpool Tower for a lighthouse and the ship was first spotted foundering at North Pier, and ended up drifting north and was wrecked off Little Bispham at 5 pm. Flares were fired and the lifeboat was called out. The alarm was raised by the landlord of the Cleveleys Hotel. Due to the weather conditions, the Blackpool lifeboat Samuel Fletcher had to be taken some overland to Bispham before it could be launched. The lifeboat had a crew of 16, and the Abana had a crew of 17, all of whom were taken on board along with the ship's dog, which belonged to Captain Danielson. The lifeboat grounded on a sandbank whilst returning to shore, but some of the crew members pushed the boat afloat and they managed to reach shore safely. All were taken to the Red Lion Inn to recover from their ordeal. The ship's bell and dog were given to the landlord of the Cleveleys Hotel, who had raised the alarm.
Link Information:
Two Lancashire architects, James Maxwell and Charles Tuke, designed the tower and oversaw the laying of its foundation stone on 29 September 1891 Answer: 1891
Solution: | When was the structure the crew of the Abana mistook for a lighthouse constructed? | 0 | NIv2 | task236_iirc_question_from_passage_answer_generation | fs_opt | [
0.21692907810211182,
0.5278328657150269,
-0.8114653825759888,
-0.28333088755607605,
0.27727147936820984,
-0.7598666548728943,
0.8120739459991455,
0.8234665989875793,
-0.0539204403758049,
0.14809206128120422,
-0.23487544059753418,
0.43275898694992065,
-0.3621792197227478,
0.2501413822174072... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Galician.
Ex Input:
یک نرم افزارکاربردی ، یک شبکه اینترنتی و یک نرم افزارموبایل ، به نام ارتباط شهروندی داره.
Ex Output:
Ten unha aplicación para Internet e móbil, chamada Citizens Connect.
Ex Input:
این مجموعه ای شگفت انگیز از اکتشافات است زیرا این قمرها برای میلیاردها سال به همین صورت باقی مانده اند.
Ex Output:
É unha serie de descubrimentos fabulosos porque estas lúas estiveron neste ambiente así durante miles de millóns de anos.
Ex Input:
ما باید این رویه را عوض کنیم, طوری که همه مردم فرصت برابرآمو.شی داشته باشند
Ex Output:
| Temos que cambialo para que exista igualdade de oportunidades.
| 1 | NIv2 | task1270_ted_translation_fa_gl | fs_opt | [
-1.5369817018508911,
0.6037179827690125,
-0.7607907652854919,
-0.23447886109352112,
-0.7772931456565857,
-0.49455612897872925,
0.5215171575546265,
0.6780171394348145,
0.29122620820999146,
0.1836358904838562,
-0.7256448864936829,
0.9387352466583252,
-0.42192885279655457,
-0.4718260765075683... |
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.
I wanted the illusion that things were the way they were supposed to be.
A: | Original | 7 | NIv2 | task428_senteval_inversion | zs_opt | [
-0.9544616341590881,
0.1714354157447815,
0.48081886768341064,
0.02741846814751625,
0.12142697721719742,
-0.13313058018684387,
0.48704594373703003,
0.5072060823440552,
0.4400080740451813,
-0.3258700966835022,
-1.2044615745544434,
-0.6558224558830261,
-0.3612285554409027,
0.09106776118278503... |
TASK DEFINITION: In this task, you are given a sentence containing a particular emotion. You must classify the sentence into one of the six emotions: 'joy', 'love', 'anger', 'fear', or 'surprise'.
PROBLEM: i feel a little glamorous i wet the brush
SOLUTION: joy
PROBLEM: im thinking that feeling extremely cold yesterday was more down to me brewing something than the actual weather
SOLUTION: anger
PROBLEM: i brought to his attention tonight is i don t feel that he is very considerate
SOLUTION: | love
| 8 | NIv2 | task875_emotion_classification | fs_opt | [
0.08589402586221695,
-0.0013022437924519181,
0.6493721008300781,
-0.2550007700920105,
0.33345043659210205,
-1.2745230197906494,
0.3328056037425995,
0.46874916553497314,
-0.032167255878448486,
-0.3625062108039856,
-0.3931850492954254,
-0.19488656520843506,
-1.0800213813781738,
-0.1502171307... |
Given the task definition and input, reply with output. 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 be found directly from the passage.
Passage: When I was a teenager , I asked a girl if she would like to go bowling with me at a bowling alley . She said that she would come and asked me what to bring . I told her she did n't need to bring anything but herself . We got out of the car and went into the bowling alley . We bought a couple of games to play and had to rent shoes so that we would n't slip on the slippery floor . We got a couple of decent weighted balls to throw down the alley . She was a lot better than me and scored more points . After about 18 throws , the game was over and we put our balls away and went to leave . Question: Where were they throwing the ball? Option1: down the alley Option2: Golf court
| down the alley | 5 | NIv2 | task164_mcscript_question_answering_text | zs_opt | [
0.6061623096466064,
0.7992740869522095,
-0.6719646453857422,
0.21148814260959625,
-0.08235339820384979,
-0.32674115896224976,
0.3604915738105774,
0.8206242918968201,
0.36349791288375854,
-0.6179684400558472,
-0.4526973068714142,
0.7783803343772888,
-0.41359835863113403,
-0.2245388180017471... |
In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify given passage into two categories: (1) "yes" if the given context is useful in answering the question, and (2) "no" if the given context is not useful.
Input: Consider Input: Context: .@VP Mike Pence is working hard on HealthCare and getting our wonderful Republican Senators to do what is right for the people.— Donald J. Trump (@realDonaldTrump) July 14, 2017 Question: what did louis just name his baby boy? Answer: sydney rain
Output: no
Input: Consider Input: Context: This dark and gritty '#PowerRangers' short film is surprisingly awesome - #NSFW - Geek Republic (@GeekRep) February 25, 2015 Question: what is rihanna upset about? Answer: trump
Output: no
Input: Consider Input: Context: RT @thapanee: Thai people flock to #RedCross to donate blood for helping all injury #BangkokBlast #PrayForBangkok— Saima Mohsin (@SaimaMohsin) August 18, 2015 Question: what sport is she joking about? Answer: water polo
| Output: no
| 2 | NIv2 | task242_tweetqa_classification | fs_opt | [
0.08912332355976105,
0.010044449009001255,
-0.5184746384620667,
0.6416550874710083,
0.12231507152318954,
-0.234974667429924,
0.5717437267303467,
0.7771168351173401,
-0.08921841531991959,
0.4320167005062103,
-0.22545182704925537,
-0.009534556418657303,
0.2999371886253357,
0.367910772562027,... |
In this task, you are given an input list A. You need to find all the elements of the list that are numbers and calculate their sum.
Example: ['238', 'h', '92', 'U', '2799']
Example solution: 3129
Example explanation: Here, the numbers in the input list are '238', '92' and '2799', hence their sum (238+92+2799) is 3129.
Problem: ['4833', '3417', 'I', 'u', 'h', 'l', 'k', 'q', 'U', '5387', 'e']
| Solution: 13637 | 5 | NIv2 | task499_extract_and_add_all_numbers_from_list | fs_opt | [
-0.5648128390312195,
0.45046985149383545,
-0.6267501711845398,
-0.6880605816841125,
0.02573930099606514,
-0.1309761255979538,
0.07208456844091415,
0.05518098548054695,
-0.6218289732933044,
-0.036410994827747345,
-0.8640497922897339,
-0.11663021147251129,
0.13365989923477173,
0.018020406365... |
In this task, you're expected to write answers to questions involving multiple references to the same entity. The answer to the question should be unambiguous and a phrase in the paragraph. Most questions can have only one correct answer.
Q: Passage: Inhabited on a mysterious island are strange creatures called Boggs who love meat. Unbeknownst to them, it is also inhabited by a shipwrecked boy. He scavenges for some food by distracting the Boggs with animal noises. Far away from the island, Odette and Derek are on their way to help the people by building a bridge leaving Alise in the care of Queen Uberta, Lord Rodgers, and their animals friends: Speed, Jean-Bob, Puffin and the Scullions. Queen Uberta begins to prepare Alise to learn how to be and act like a princess. But Alise doesn't want to be a princess in this way but to be a modern princess. Lord Rogers says that Alise needs adventure but Queen Uberta disagrees.
While fighting once again, Alise uses her chance to swim in the lake with her friends but she was quickly sent back to the palace to learn to be proper. Queen Uberta is very strict with Alise, trying to teach her everything, but instead she falls asleep and sent to bed. That same night, Lord Rogers, Jean-Bob, and Speed sneak Alise out of her room to go on an adventure.
The next morning, before Queen Uberta enters Alise's room with yoga lessons, she notices that Alise has gone with Lord Rogers. Queen Uberta chases after the group all the way to the port but they escape on a ship. Queen Uberta is furious but nervous about Alise so she sent Puffin and the Scullions after them.
On the ship, Alise changes into a pirate costume, making Lord Rogers realize that Uberta was right; he turned Alise into a pirate just when Alise wanted to have fun. On the first night they see the Polar Star and Lord Rogers says that sailors always used this star to guide the way back home.
Question: Who all does the queen chase all the way to the port?
A: Lord Rogers.
****
Q: Passage: Filmmaker Adam Green begins a documentary about artwork that features monsters. Green is surprised when William Dekker, a retired police officer, contacts him and claims to have proof of the existence of monsters. Green's wife reacts skeptically, but he reworks his documentary to focus on Dekker and his efforts to expose the monsters' underground home, which he calls "The Marrow". Green interviews Dekker at his house, who claims that he has seen many monsters and identified some of them through sketches. Dekker mentions his son once but diverts from the topic when Green inquires. The shooting crew of Green and his cameraman wait at the Marrow's entrance; a dug-up hole in the cemetery in the woods. On the first night they do not see anything although Dekker keeps claiming that he could see one of the monsters.
Question: What does the person contacted by the police officer do for a living?
A: Filmmaker.
****
Q: Passage: Set in the Stone Age, Ishbo is the younger son of Mookoo, the leader of a tribe of cavemen. Ishbo is smarter than most of his tribesmen, but awkward and nerdy, living in the shadow of his much more physically impressive brother Thudnik. He hopes to use his superior intellect to become an inventor and raise his tribe above simple sticks and stones, but due to a combination of the flimsy materials available to him and the lack of support from his tribe they always fail. Ishbo also has had a lifelong crush on his childhood friend, Fardart. Much to his dismay, immediately after he finally expresses his love to her she is "clubbed" by Thudnik (and all that follows in the tradition of caveman stereotypes), and eventually married to him. Ishbo himself has never clubbed a woman, having his heart set on Fardart his whole life.
After Fardart is betrothed to Thudnik, Ishbo begins to believe that he will never club a woman. He at first is too attached to her to consider clubbing another woman, and is further discouraged after a particularly ill-fated attempt at clubbing. Ishbo becomes quite depressed, a feeling which is escalated by his failure to prove useful on a mammoth hunt. He falls into a large pile of mammoth dung, then is eaten by the mammoth, and eventually excreted (or extracted – the scene itself appears as a series of animated cave drawings) from the mammoth when it is finally killed by the rest of the tribesmen.
Question: What is the name of the person who is described as having a superior intellect?
A: | Ishbo.
****
| 4 | NIv2 | task002_quoref_answer_generation | fs_opt | [
1.2649635076522827,
0.28458142280578613,
-0.8333240151405334,
-0.15080174803733826,
0.4142211377620697,
-0.45532888174057007,
1.1072158813476562,
0.49308618903160095,
-0.5512653589248657,
-0.23768959939479828,
0.03107571229338646,
0.043169960379600525,
-0.32486069202423096,
0.5047383308410... |
Teacher: Translate from Hindi to English such that it preserves the original meaning Perform complete translation (partially translated sentences are considered incorrect).
Teacher: Now, understand the problem? If you are still confused, see the following example:
रोजगार कार्यालय जाओ.
Solution: Go to the employment office.
Reason: The translation is correct
Now, solve this instance: मुझे अपनी साइकिल की जरूरत है.
Student: | I need my bicycle. | 2 | NIv2 | task1323_open_subtitles_hi_en_translation | fs_opt | [
-0.4669293463230133,
0.003878571093082428,
0.3266613483428955,
0.25949451327323914,
0.2810963988304138,
-0.8211466670036316,
-0.17274907231330872,
0.01772688329219818,
0.044728659093379974,
-0.13895843923091888,
0.006770308129489422,
-0.3316282331943512,
0.17495650053024292,
-0.04582357034... |
You are given an amazon food product review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False".
Example Input: This mild semi-soft/soft cheese has a range of subtle flavors that I have yet to find elsewhere. The price is worth it, though I can't afford to order it often, but the combination of this cheese with a really good white wine is truly a culinary delight!
Polarity: Negative
Example Output: False
Example Input: This tea won an award in the USA and I know why...."Mandarin Silk Loose Leaf Oolong Tea" is like the name suggests "Silk" silk on your tongue. A tea that has a warm, relaxing taste that makes you feel wonderful...Well done "Art of Tea"!
Polarity: Positive
Example Output: True
Example Input: My dogs play constabtly with plastic and rubber type treat toys. I have never has one break before. This bottle on a rope smashed in two places the first day I gave it to my dogs leaving jagged edges at the neck of the bottle and the bottom screw on lid. It was not made to withstand shaking and banging the toy on the ground which dogs generally do with toys on ropes.
Polarity: Positive
Example Output: | False
| 3 | NIv2 | task587_amazonfood_polarity_correction_classification | fs_opt | [
-0.16142688691616058,
-0.48316484689712524,
0.23474401235580444,
0.2030361294746399,
-0.22638852894306183,
-0.3882145881652832,
0.8232434988021851,
0.2958953380584717,
-0.02538004145026207,
-0.17578226327896118,
0.0523127056658268,
0.2939590811729431,
-0.4732869565486908,
-0.24405108392238... |
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 event. You have to determine whether the Head is a part, portion, or makeup of the Tail or not. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Input: Head: south park<sep>Tail: pee
Output: | Yes | 3 | NIv2 | task1210_atomic_classification_madeupof | zs_opt | [
0.12738406658172607,
0.49117767810821533,
-0.03717041015625,
-0.00391004653647542,
-0.6785974502563477,
-0.7648513913154602,
1.0711909532546997,
0.22339008748531342,
-0.40222805738449097,
-0.4965587854385376,
-0.35475075244903564,
-0.31842654943466187,
-0.33928894996643066,
0.1657300442457... |
In this task, you will be shown a conversation and a question. You need to write an implausible answer to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. "W" and "M" in the conversations stand for "woman" and "man".
One example is below.
Q: M: I am considering dropping my dancing class. I am not making any progress. W: If I were you, I stick with it. It's definitely worth time and effort., Question: What does the man suggest the woman do?
A: Take a more interesting class.
Rationale: This is a good example. Based on the conversation, the man thinks the dancing class is worth time and effort. So, the man doesn't suggest her to take a more interesting class and one of the wrong answers is "Take a more interesting class.".
Q: M: Welcome. W: Hi, John. Hey, you've done a good job decorating this place, really nice. M: Thanks, I am glad you like it. Can I get you a drink? W: No, thanks. Let's make dinner. I am getting hungry. M: Here is the kitchen. I will wash the onions first. Could you take the meat out of the fridge? It's in a yellow plastic container. W: Wow, this smells good. M: Could yon pass those potatoes to me, please? W: What are we having? M: My special dumplings, sweet and sour pork, beef with onions and green peppers, and a few side dishes like tomatoes with sugar. W: Sounds wonderful. What are you going to do next? M: I'll start preparing the meat stuffing. W: The dumplings are great. I wish I had the recipe. And could you tell me what's in this? M: Well, I put a lot of onions in it, and garlic and melon. W: Oh, I like garlic and melon., Question: What did the man ask the woman to pass him?
A: | Salt. | 9 | NIv2 | task283_dream_incorrect_answer_generation | fs_opt | [
0.05603130906820297,
0.1390666663646698,
0.0033151821698993444,
0.05053149536252022,
0.1854466199874878,
-0.48283296823501587,
0.6474742293357849,
0.5720064043998718,
-0.14338508248329163,
-0.18399661779403687,
-0.28418654203414917,
0.10232403874397278,
-0.3938630223274231,
-0.068408891558... |
Instructions: In this task, you are given an input list A comprising of numbers and alphabets. You need to extract and sort the unique alphabets in the list. The alphabets in the input list will only be in lowercase. Return -1 if there is no alphabet in the input list.
Input: ['8273', 'l', '6843', '6891', 'm', 'b', 'r', '2387', 'm', '6903', 'i', '8917', '4585', 'a', '661', 'c', '369', '9635', 'c', '2843', '1051', 't', '6211', 'x', 'a', 'n', '9655', 'a', 'c', '3657', '8073', '5871', '6445', '5191', 'x', '1047', 'x', '2511', 'l', 'o', 'q', 'd', 'e']
Output: | a, b, c, d, e, i, l, m, n, o, q, r, t, x | 3 | NIv2 | task636_extract_and_sort_unique_alphabets_in_a_list | zs_opt | [
-0.4427090287208557,
0.43494588136672974,
-0.1785769760608673,
-0.12423977255821228,
0.06653240323066711,
-0.1669943928718567,
0.47426638007164,
-0.20942790806293488,
-0.6914178133010864,
0.010836783796548843,
-0.8066962361335754,
-0.4970167279243469,
-0.2506848871707916,
0.014204856008291... |
In this task, you will be presented with a question in Dutch language, and you have to write the named entities from the question if present. B denotes the first item of a phrase and an I any non-initial word. Here is the list of terms used: person names (PER), organizations (ORG), locations (LOC) and miscellaneous names (MISC). There can be instances with no named entities, then return 'None'.
Q: Geen spek voor ieders bek dus .
A: | None | 4 | NIv2 | task1544_conll2002_named_entity_recognition_answer_generation | zs_opt | [
-0.261200487613678,
0.38579320907592773,
0.1900845766067505,
-0.28659549355506897,
-0.6696438193321228,
-0.19219142198562622,
1.282373070716858,
-0.4259955883026123,
0.7381894588470459,
-0.4101089537143707,
-0.8054240942001343,
0.4519064724445343,
-0.2190541923046112,
0.1587960571050644,
... |
In this task you will be given a list of numbers and you need to find the mean (average) of that list. The mean of a list can be found by summing every number in the list then dividing the result by the size of that list. The output should be rounded to 3 decimal places.
[Q]: [151.151, 144.049, 217.252]
[A]: 170.817
[Q]: [188.006, 117.583, 51.262]
[A]: 118.95
[Q]: [85.257, 200.513, -80.531, 133.813, 157.564, -47.638]
[A]: | 74.83
| 5 | NIv2 | task094_conala_calculate_mean | fs_opt | [
-0.28193122148513794,
0.550823450088501,
-0.7569444179534912,
-1.5250645875930786,
-0.076952263712883,
0.18849590420722961,
0.4481779932975769,
0.2979699969291687,
-0.24660974740982056,
0.2289152443408966,
-1.245617389678955,
0.43901389837265015,
-0.6983356475830078,
0.3183702826499939,
... |
Detailed Instructions: In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.': Period symbol is used for symbols denoting Punctuations/Separations such as comma, period, backticks etc.,
'ADJ': Adjectives are words that typically modify nouns and specify their properties or attributes,
'ADP': Adposition is a cover term for prepositions and postpositions,
'ADV': Adverbs are words that typically modify verbs for such categories as time, place, direction or manner,
'CONJ': A word used to connect clauses or sentences or to coordinate words in the same clause,
'DET': Determiners are words that modify nouns or noun phrases and express the reference of the noun phrase in context,
'NOUN': Nouns are a part of speech typically denoting a person, place, thing, animal or idea,
'NUM': A numeral is a word, functioning most typically as a determiner, adjective or pronoun, that expresses a number and a relation to the number, such as quantity, sequence, frequency or fraction,
'PRT': Particles are function words that must be associated with another word or phrase to impart meaning and that do not satisfy definitions of other universal parts of speech,
'PRON': Pronouns are words that substitute for nouns or noun phrases, whose meaning is recoverable from the linguistic or extralinguistic context,
'PROPN': A proper noun is a noun (or nominal content word) that is the name (or part of the name) of a specific individual, place, or object,
'VERB': A verb is a member of the syntactic class of words that typically signal events and actions, can constitute a minimal predicate in a clause, and govern the number and types of other constituents which may occur in the clause,
'X': The tag X is used for words that for some reason cannot be assigned a real part-of-speech category.
Problem:Sentence: In simpler terms , {{ it }} amounts to pointing the platform in the proper direction .
Word: it
Solution: | PRON | 8 | NIv2 | task1168_brown_coarse_pos_tagging | zs_opt | [
0.4415907859802246,
0.2171025574207306,
-0.31710994243621826,
0.2488708198070526,
-0.18110519647598267,
-0.6329481601715088,
0.7406265735626221,
0.6287122964859009,
-0.2434421330690384,
-0.0985017716884613,
-0.6953970193862915,
0.08618879318237305,
-0.5768907070159912,
0.2562409043312073,
... |
Q: In this task, you are given two sentences. Your task is to classify the given sentences as "Yes" if they have same meaning; otherwise, classify them as "No".
Sentence-1: I own my own business.<sep>Sentence-2: I have gotten a job .
A: | Yes | 7 | NIv2 | task566_circa_classification | zs_opt | [
-0.7090147733688354,
0.7162777185440063,
0.4347437024116516,
-0.07270340621471405,
0.14746683835983276,
-0.3719996213912964,
-0.08623489737510681,
1.1969610452651978,
0.3269333243370056,
0.128673255443573,
-0.1366061270236969,
-0.913245677947998,
-0.7381319999694824,
-0.7585114240646362,
... |
In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B".
Cynthia ran out of concealer so she had to borrow some from Kayla. _ felt appreciative about it. (A) Cynthia (B) Kayla | A | 0 | NIv2 | task1391_winogrande_easy_answer_generation | zs_opt | [
0.008072027936577797,
1.0382999181747437,
-0.222799152135849,
-0.08322329819202423,
-0.4691365957260132,
-1.1367429494857788,
0.4850688576698303,
0.8389017581939697,
0.5534401535987854,
0.04278747737407684,
0.21244961023330688,
0.17492952942848206,
0.501644492149353,
-0.2684269845485687,
... |
Detailed Instructions: In this task, you are given a context paragraph, a question based on that and corresponding answer of a question. Your task is to generate supporting fact/knowledge from context paragraph which helps in answering a given question.
Problem:The Jenolan River, a perennial river that is part of the Hawkesbury-Nepean catchment, is located in the Central Tablelands region of New South Wales, Australia. Question: In the Central Tablelands region near the east coast, you can find the Jenolan river, in which country? Answer: Australia
Solution: | The Jenolan River, a perennial river that is part of the HawkesburyNepean catchment, is located in the Central Tablelands region of New South Wales, Australia. | 8 | NIv2 | task192_hotpotqa_sentence_generation | zs_opt | [
0.8121412992477417,
0.36620885133743286,
-0.4873177409172058,
-0.5892549753189087,
-0.6238338351249695,
-0.34643620252609253,
0.2778182923793793,
0.6095699071884155,
-0.2419051229953766,
0.07623845338821411,
0.18791761994361877,
0.3310610353946686,
-0.7075645923614502,
-0.33491677045822144... |
In this task, you will be presented with a text and a pronoun. You should write the name that the pronoun refers to. Position of the pronoun in the text is showed within two "_"s.
Q: In the second act, Victor's apartment is shown from a different angle, and the Krap home is still visible. For much of the act, that part of the stage is empty, except for a moment where Jacques lights the lamp and paws his master's armchair. At one point, Victor arrives, and Jacques allows _him_ to sit in his father's chair. <sep>, Pronoun: him
A: Victor
****
Q: Curtis Moffat (1887 1949) was an abstract photographer, color still life and society portraitist. At times he collaborated with Man Ray. Born in Brooklyn, New York in 1887, the son of Edwin Moffat and Aline Graves, Curtis was brought up in France before being educated at St. Mark's School in the USA. _He_studied painting in New York and was part of a group of artists including George Bellows, Randall Davey, Robert Henri and John Sloan. <sep>, Pronoun: He
A: Curtis
****
Q: In February 2001 he featured in an episode of the WB Network's ``Charmed'' and in March was interviewed by Evan Adams on APTN's ``Buffalo Track's''. In March 2001 he was in the UK filming a pilot for a new CBS series, ``Sam's Circus''. Since 2001 Michael made appearances in several films: ``Sunshine State'', ``ZigZag'', and ``Skinwalkers'' based on the book by Tony Hillerman. _He_also appeared in episodes of ``Body and Soul'' and ``MythQuest''. <sep>, Pronoun: He
A: | Michael
****
| 4 | NIv2 | task330_gap_answer_generation | fs_opt | [
-0.10937867313623428,
0.6236816644668579,
0.04549241438508034,
0.4383803606033325,
0.328621506690979,
0.28140002489089966,
0.4732798933982849,
0.7822966575622559,
-0.037283699959516525,
0.2820450961589813,
-0.062424443662166595,
0.3292422890663147,
-1.109926462173462,
-0.21273112297058105,... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: identity-attack and non-identity-attack. Identity attack refers to anything rude or disrespectful about someone's identity, including appearance, race, gender, and sexual orientation.
Input: Consider Input: Comment: Then they should move to a majority black country where they won't have to rub shoulders with the white people they hate so much. They will stay because there is no white man to mooch off in the black countries.
Output: Identity-attack
Input: Consider Input: Comment: Mr Dunce is still practicing for Scaramouche's new program "Dancing with the Self-fellators"
Output: Non-identity-attack
Input: Consider Input: Comment: Just in case anyone still mistakenly believes that any of these Big Oil Sock Puppet Parties are any different from each other, let me assure you that they aren't.
| Output: Non-identity-attack
| 2 | NIv2 | task325_jigsaw_classification_identity_attack | fs_opt | [
-0.701470136642456,
0.8036316633224487,
0.32333266735076904,
0.3758099675178528,
-0.2978397011756897,
0.17376050353050232,
1.122499942779541,
0.21605242788791656,
0.1540689468383789,
0.6088504195213318,
0.002309083007276058,
0.05782110616564751,
-0.4866793155670166,
-0.6394093632698059,
... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
Example: 父が医師だったので父に担当してもらえるという大きな利点がありました父は母に見事な治療を施しました
Output: Mio padre è medico. Ed è stato un grande vantaggio per noi. Si è occupato di lei in modo fantastico.
The Japanese sentence is correctly translated into Italian, because the meaning is preserved.
New input case for you: そうなんです
Output: | Già. | 1 | NIv2 | task1096_ted_translation_ja_it | fs_opt | [
-0.38373231887817383,
0.23839856684207916,
-0.3286091685295105,
-0.0549435093998909,
0.09707444906234741,
-0.3070578873157501,
0.28631705045700073,
1.300889492034912,
0.2983924150466919,
-0.1925528645515442,
-0.7245991230010986,
0.5308780670166016,
-0.0982990488409996,
-0.03634970635175705... |
You are given a sentence in English. Your job is to translate the English sentence into Portugese.
Silence can place us inside the head of a character or provoke thought. | O silêncio pode colocar-nos na mente de uma personagem ou provocar o pensamento. | 0 | NIv2 | task1094_ted_translation_en_pt | zs_opt | [
-0.04101705551147461,
0.8541789054870605,
0.17969900369644165,
-0.3575170636177063,
-0.385926216840744,
-0.636040985584259,
0.24411647021770477,
0.33141306042671204,
1.1296279430389404,
-0.1313624083995819,
-0.23967839777469635,
-0.09581837058067322,
-1.1204969882965088,
-0.436003535985946... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Polish.
Q: הכוח הפוליטי שלהם נמצא בעלייה, בעוד המולות מבודדים את עצמם, חוץ מקבוצה אחת של מולות, שלא כל כך מוכרת לאמריקאים.
A: ich polityczna siła przebicia rośnie, podczas gdy mułłowie się izolują — z wyjątkiem jednej grupy mułłów, niezbyt dobrze znanej Amerykanom.
****
Q: אני חושב שזה שינוי מאוד עמוק באופן בו ענייני בני אדם מאורגנים.
A: Myślę, że jest to naprawde wielka zmiana w kształtowaniu się stosunków społecznych.
****
Q: מדי פעם בפעם מופעל שוק חשמלי ברצפה שמכאיב לכלבים
A: | Przepuszczano przez nią prąd elektryczny, który porażał psy.
****
| 4 | NIv2 | task1112_ted_translation_he_pl | fs_opt | [
-1.0466740131378174,
0.9806118011474609,
0.004820886068046093,
0.4021455943584442,
-0.5092600584030151,
-0.5083928108215332,
0.7397952675819397,
-0.02091028541326523,
0.45826858282089233,
-0.4443986415863037,
-0.6836903095245361,
0.38170191645622253,
-0.6315740942955017,
0.0132805956527590... |
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.
Example Input: Category: OSCAR WINNING ROLES
Clue: Elmer Gantry
Example Output: burt lancaster
Example Input: Category: AMERICAN INDIANS
Clue: When this chief, Pocahontas' father, died in 1618, he was succeeded by his brother Opitchapam
Example Output: powhatan
Example Input: Category: BEFORE & AFTER
Clue: Van Gogh's 1889 painting of director George Romero's 1968 zombie film classic
Example Output: | starry night of the living dead
| 3 | NIv2 | task306_jeopardy_answer_generation_double | fs_opt | [
-0.07005715370178223,
0.4716547727584839,
-0.3715091347694397,
-0.3022509813308716,
-0.14008229970932007,
-0.44406795501708984,
0.5322830677032471,
0.010308737866580486,
0.47435036301612854,
-0.39765915274620056,
0.1314622163772583,
0.043525323271751404,
-0.7623780965805054,
-0.07226490974... |
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 have to generate the named entities (NER) given its ingredients of the recipe. Named entities are the names of the items without their quantity.
1 3/4 cups all purpose flour, 1/4 cup finely ground blanched almonds, 1 teaspoon grated lemon zest, 1/2 cup confectioners sugar, 2 sticks unsalted butter, almost melted, 4 eggs, lightly beaten, 2 cups granulated sugar, 1/4 cup flour, 1/2 teaspoon baking powder, 2 teaspoons grated lemon zest, 1/3 cup fresh lemon juice, Candied violets for garnish, optional
Solution: flour, ground blanched almonds, lemon zest, confectioners sugar, butter, eggs, sugar, flour, baking powder, lemon zest, lemon juice, Candied violets
Why? Given the required ingredients, the ner of the recipe is generated. As the ingredients contain the quantities, if we just remove quantities from ingredients, we get the ner.
New input: 1 lb rotini pasta (500g package), 4 cups chicken broth (900 ml/1 tetra brick), 3 tablespoons butter, 1 1/2 cups evaporated milk (1 can, I use partly skimmed), 2 cups cheddar cheese, salt & pepper, to taste
Solution: | rotini pasta, chicken broth, butter, milk, cheddar cheese, salt | 0 | NIv2 | task570_recipe_nlg_ner_generation | fs_opt | [
0.059497490525245667,
0.19375185668468475,
-0.3332929313182831,
0.8471336960792542,
-0.26066315174102783,
-0.42354458570480347,
0.7014768123626709,
0.9604982733726501,
-0.3034690320491791,
-0.1261109858751297,
-0.029284177348017693,
-0.19107110798358917,
-0.30251434445381165,
0.13488250970... |
In this task, you are given two natural language statements with similar wording. You must choose the statement that makes less sense based on common sense knowledge. A '
' separates the statements. Use "first" or "second" to indicate which sentence makes less sense.
Example input: A mosquito stings me
I sting a mosquito
Example output: second
Example explanation: The second statement doesn't make sense.
Q: I dug a hole to China this afternoon.
I went for a walk this afternoon.
A: | first | 3 | NIv2 | task291_semeval_2020_task4_commonsense_validation | fs_opt | [
-0.2504546046257019,
0.1721334606409073,
-0.2233344167470932,
-0.17970909178256989,
-0.173195019364357,
-0.6834520101547241,
0.22300143539905548,
0.5128039717674255,
-0.15008080005645752,
0.001394730876199901,
-0.6826767921447754,
-0.7873141765594482,
-0.5790277719497681,
-0.43715098500251... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Portugese.
Problem:I'm convinced that in 30 years, when we look back on today and on how we raise and slaughter billions of animals to make our hamburgers and our handbags, we'll see this as being wasteful and indeed crazy.
Solution: | Estou convencido que daqui a 30 anos, quando pensarmos nos dias de hoje e em como criamos e abatemos milhares de milhões de animais para fazer os nossos hambúrgueres e as nossas malas, consideraremos isto um desperdício e verdadeiramente louco. | 8 | NIv2 | task1094_ted_translation_en_pt | zs_opt | [
-0.7763735055923462,
0.5449107885360718,
0.16589409112930298,
0.4215000569820404,
-0.7704297304153442,
-0.8329916000366211,
-0.46798691153526306,
1.0058923959732056,
-0.24523161351680756,
-0.03984875977039337,
-0.09488683938980103,
0.9492311477661133,
-0.4558590054512024,
-0.40044769644737... |
A text is given in Bengali. Translate it from the Bengali language to the Gujarati language. The translation must not omit or add information to the original sentence.
Q: પ્રધાનમંત્રી આવતીકાલે મનોરમા ન્યુઝ કોન્ક્લેવ 201ને સંબોધિત કરશે
A: | আগামীকাল মনোরমা নিউজ কনক্লেভে ভাষণ দেবেন প্রধানমন্ত্রী | 4 | NIv2 | task1068_pib_translation_gujarati_bengali | zs_opt | [
0.12380386888980865,
0.11744990944862366,
0.3121865391731262,
-0.8668465614318848,
-0.5302606821060181,
-0.9204545617103577,
-0.19549933075904846,
-0.5447957515716553,
-0.4281506836414337,
-0.27007901668548584,
-0.9418370723724365,
-0.04037065431475639,
-0.6179257035255432,
0.5978289842605... |
You will be given a definition of a task first, then some input of the task.
You are given a short paragraph, a question and two choices to answer from. Choose the correct answer based on the paragraph and write the answer(not the key).
Paragraph: Genotypes with greater fitness produce more offspring and pass more copies of their alleles to the next generation.
Question: Leo is working in a lab studying genotypes. He notices that the genotypes that are more fit produce
Choices: A)less offspring.
B)more offspring
Output: | more offspring | 1 | NIv2 | task1731_quartz_question_answering | zs_opt | [
-0.7170196771621704,
0.23914532363414764,
-0.594761073589325,
0.6794638633728027,
-0.507266640663147,
-0.12703466415405273,
0.07830801606178284,
1.2421808242797852,
-0.15705999732017517,
-0.8462421894073486,
-0.795007586479187,
0.27933165431022644,
-0.8547627925872803,
0.07466244697570801,... |
Detailed Instructions: You are given a question. You need to detect which category better describes the question. A question belongs to the description category if it asks about description and abstract concepts. Entity questions are about entities such as animals, colors, sports, etc. Abbreviation questions ask about abbreviations and expressions abbreviated. Questions regarding human beings, description of a person, and a group or organization of persons are categorized as Human. Quantity questions are asking about numeric values and Location questions ask about locations, cities, and countries. Answer with "Description", "Entity", "Abbreviation", "Person", "Quantity", and "Location".
Problem:What two states is Washington D.C. between ?
Solution: | Location | 8 | NIv2 | task1289_trec_classification | zs_opt | [
-0.04118945449590683,
-0.5823493003845215,
0.2047959715127945,
-0.23553834855556488,
-0.2918974757194519,
-0.5976399183273315,
0.21827763319015503,
0.08348433673381805,
0.08178922533988953,
0.03221910819411278,
-0.46924376487731934,
-0.10434132069349289,
-0.15971927344799042,
0.15312036871... |
Given the task definition and input, reply with output. Given a paragraph about cooking, and a set of conversational question answers about the paragraph, generate a relevant question to the topic of the paragraph. The paragraph has the prefix 'CONTEXT:'. Each conversation question has a prefix `Q:` followed by the answer prefix `A:`.
CONTEXT: You could use the corkscrew in its classic role. Bore a hole, and then use the corkscrew to pull the sugar out in one piece.You should probably lay the tub on its side for this, as the sugar weight is probably too much to stay on the corkscrew.The other option, though rather extreme, is to cut away the plastic tub with wire cutters or shears. That way, you're peeling the tub away, and will be left with the same lump, but no tub. <sep> Q: How can I extract palm sugar from a container? A: You could use the corkscrew in its classic role. Bore a hole, and then use the corkscrew to pull the sugar out in one piece Q: the corkscrew doesnt break it up. is there anything else? A: though rather extreme, is to cut away the plastic tub with wire cutters or shears
| any other suggestions or tips? | 5 | NIv2 | task1437_doqa_cooking_question_generation | zs_opt | [
-1.0004403591156006,
0.6130387783050537,
0.24892854690551758,
-0.4112476706504822,
0.017879873514175415,
-0.5872393846511841,
-0.04966730624437332,
0.9405047297477722,
-0.29479074478149414,
0.5115392208099365,
-0.35683178901672363,
0.32688507437705994,
-0.7116897106170654,
-0.0528488233685... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a sentence in Persian, and your task is to translate it into English.
سم ، خوبي ، تو حالت خوبه .
Solution: sam . alright , youre alright .
Why? This is a good example. The above sentence is correctly translated from Persian to English.
New input: واقعا تو ميخواي بندهو فتق بگيره .
Solution: | really you trying to give bandhu a hernia . | 0 | NIv2 | task659_tep_fa_en_translation | fs_opt | [
0.12178859859704971,
0.20486730337142944,
-0.1604217290878296,
-0.6479071378707886,
-0.23426282405853271,
-0.30635759234428406,
0.6133773326873779,
0.12319418042898178,
0.37744882702827454,
-0.17599476873874664,
-0.2919451594352722,
0.9426419734954834,
-0.36160725355148315,
0.4266023039817... |
Teacher: "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes, and". Indicate your answer by 'Response 1' if the first response is correct, otherwise 'Response 2'. Note that a "Yes, and" does not require someone explicitly saying 'yes, and...' as part of a dialogue exchange.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Prompt: See, Arlene? That's why I don't talk to you like that because I'm afraid I'll scare our son.
Response 1: I have 12. Wait, is the key to a success story getting the number to go down?
Response 2: Oh, Dad. Even that wasn't great.
Solution: Response 2
Reason: Response 2 is correct answer because it agrees with the prompt and continues the conversation in the same context.
Now, solve this instance: Prompt: Yeah. My husband's dead. I'm honest about it. My husband died very recently.
Response 1: All right. God, you weren't kidding. I can't even see the end of it.
Response 2: That's very honest after the fact, but you never took any time off from work.
Student: | Response 2 | 2 | NIv2 | task362_spolin_yesand_prompt_response_sub_classification | fs_opt | [
0.3754771947860718,
0.44764021039009094,
0.38384389877319336,
-0.32774215936660767,
0.2324371635913849,
-0.8729355335235596,
0.21497474610805511,
0.826414942741394,
-0.15107235312461853,
-0.32262808084487915,
-0.5359882116317749,
0.2085077464580536,
-0.8887010812759399,
0.16164502501487732... |
You will be given a definition of a task first, then some input of the task.
The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Finnish Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and form of each sentence in the Finnish language. 2) Also names ,dates and places should be preserved it should not get translated.
"It seems to me that all you gentlemen know a great deal more than I do about my own affairs."
Output: | "Näyttää siltä kuin teillä kaikilla, hyvät herrat, olisi minun asiani paremmin selvillä kuin minulla itselläni." | 1 | NIv2 | task1650_opus_books_en-fi_translation | zs_opt | [
-0.7527168393135071,
0.5877431035041809,
-0.0559919998049736,
0.010841088369488716,
0.30832189321517944,
-0.5769455432891846,
0.9155278205871582,
0.12367449700832367,
-0.10437733680009842,
-0.5198349952697754,
-0.06174183636903763,
1.0265910625457764,
-1.4552948474884033,
0.706854283809661... |
In this task you will be given a list of numbers. You should remove any number that is not an integer (whole number). If every number is not an whole number then an empty list ("[]") should be returned. Otherwise, answer with the list of whole numbers separated by comma inside brackets.
Input: Consider Input: [0.78, 2.384, -1.792, -0.911, 32.557, 45, 4.786, 36.212, -4.337]
Output: [45]
Input: Consider Input: [34.113, 3.535, 0.348, 2.658, -19, -13.838, 36.438, 7.046, 5.961, 71.164, -39]
Output: [-19, -39]
Input: Consider Input: [-9.392, -51, 99, -52, 39, 4.737, 44.296, -62, 1.671]
| Output: [-51, 99, -52, 39, -62]
| 2 | NIv2 | task367_synthetic_remove_floats | fs_opt | [
-0.5437184572219849,
0.3509528338909149,
-0.5674710273742676,
-0.26740092039108276,
-0.10615873336791992,
-0.008834903128445148,
0.6808218359947205,
0.38445132970809937,
0.07084152847528458,
-0.029319405555725098,
-0.804867148399353,
0.21274346113204956,
0.0034362836740911007,
-0.435052633... |
Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content.
Example input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymized_account
Example output: 1
Example explanation: The tweet contains Bullying content
Q: @anonymized_account @anonymized_account rydzykowo-pisbolszewicki ultras kreujący się na Wallenroda a tak tak naprawdę najgorsze szambo
A: | 1 | 3 | NIv2 | task838_cdt_classification | fs_opt | [
-1.2233399152755737,
1.0408002138137817,
0.5025804042816162,
0.4711763858795166,
-0.3274836838245392,
-0.6973822116851807,
0.5379537343978882,
-0.6701095104217529,
0.28292346000671387,
0.2892795205116272,
-0.6603095531463623,
-0.17129775881767273,
-0.25825515389442444,
-0.4803082346916199,... |
Teacher: This task involves annotating the answer type to a given question that involve some kind of complex reasoning (including numerical reasoning). Note that the questions require looking at more than one part of the passage to answer. There are 3 possible answer types (i) spans, (ii) numbers and (iii) dates. If the answer can be found in the passage, label it as "span". If the answer is a number, label as "number". Similarly, label "date" if you think the answer to the given question is a date.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Passage: The outbreak of the Seven Years' War in Europe in 1756 resulted in renewed conflict between French and British forces in India. The Third Carnatic War spread beyond southern India and into Bengal where British forces captured the French settlement of Chandernagore in 1757. However, the war was decided in the south, where the British successfully defended Madras, and Sir Eyre Coote decisively defeated the French, commanded by Comte de Lally at the Battle of Wandiwash in 1760. After Wandiwash, the French capital of Pondicherry fell to the British in 1761. The war concluded with the signing of the Treaty of Paris in 1763, which returned Chandernagore and Pondichéry to France, and allowed the French to have "factories" in India but forbade French traders from administering them. The French agreed to support British client governments, thus ending French ambitions of an Indian empire and making the British the dominant foreign power in India.
Question: Which french settlement did the British capture first, Chandernagore or Pondicherry?
Solution: span
Reason: The answer "Chandernagore" is a word from the passage. So, the answer type is "span".
Now, solve this instance: Passage: In 1958 the Tenth Regiment was reactivated. The unit today wears the buffalo symbol. 1st Squadron, 10th Cavalry was assigned to Fort Lewis, Washington, on 1 September 1963, as the eyes and ears of the 4th Infantry Division. 2nd Squadron, 10th Cavalry was activated on 1 July 1957 and consolidated with the 7th Recon Company transferring, less personnel and equipment, to Korea from Germany. It was assigned to the 7th Infantry Division. It was transferred with 7th Division to Fort Ord, California, in December 1976. 2nd Squadron, 10th Cavalry served as the 7th Division's helicopter borne reconnaissance asset. It had a scout troop , Lift Troop , Attack troop and a ground troop of scouts in jeeps. The Squadron was reorganized in August 1985 as a reconnaissance squadron under the Infantry Division configuration. The unit was deactivated and replaced by an element of the 9th Cavalry prior to the 7th Divisions eventual de-activation and depart from Fort Ord.
Question: How many years after the 2nd Squadron, 10th Cavalary was activated did it get transffered to Ford Ord, California?
Student: | number | 2 | NIv2 | task027_drop_answer_type_generation | fs_opt | [
1.3016517162322998,
0.34094077348709106,
-0.41017410159111023,
-0.31499117612838745,
0.4563169777393341,
-1.0589303970336914,
0.945070207118988,
0.7040988802909851,
0.2578399181365967,
-0.04528774321079254,
-0.2614932060241699,
0.06773656606674194,
-1.0397655963897705,
0.005344231147319078... |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
[EX Q]: آن طرف نیمچه خلیج، کاخهای سفید ایست اگ، تخم مرغ مد روز، در ساحل میدرخشیدند،
[EX A]: Across the courtesy bay the white palaces of fashionable East Egg glittered along the water,
[EX Q]: جما بسرعت، سر از روی کاغذ برداشت،
[EX A]: She glanced up quickly from the paper,
[EX Q]: اولبار هم که او را از خود دور کرد به علت ترسی بود که از نامکشوف بودن روت برای خودش داشت و آن ترس دیگر در وجودش بهخواب رفته بود.
[EX A]: | That first repulsion had been really a fear of her undiscovered self, and the fear had gone to sleep.
| 6 | NIv2 | task660_mizan_fa_en_translation | fs_opt | [
-0.2657623291015625,
0.8053221106529236,
-0.27850043773651123,
-0.9800903797149658,
-0.42362725734710693,
-0.47146183252334595,
0.32364606857299805,
0.9032056927680969,
0.031548842787742615,
-0.1069195568561554,
-0.07424667477607727,
0.2762020230293274,
-0.5599955320358276,
-0.014457867480... |
Given a document and an entity the task is to select the author's sentiment towards the entity. Sentiments can be Positive, Neutral and Negative. Select Positive if the article expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the document expresses no clear view towards the entity or has equal amounts of positive and negative statements or expressing some fact/quote by someone else. Select Negative if the article expresses a negative view towards like harsh remarks, criticizing entities action/decision etc. Note that URLs in the text have been replaced with [Link].
Example Input: What is the sentiment of the following document towards the entity Bernie Sanders ? "There 's some reluctance to put a lot of time into -LSB- unseating Democrats -RSB- , versus -LSB- building -RSB- a more progressive Congress overall ," said former Communications Workers of America union President Larry Cohen , a top Bernie Sanders adviser who now chairs the board of the Our Revolution political group that was spawned from the senator 's 2016 presidential campaign .
Example Output: Neutral
Example Input: What is the sentiment of the following document towards the entity Rand Paul ? Kentucky Senator Rand Paul said on Sunday that he âs not sure if President Trump will seek re-election at this time.
Talking to MSNBCâs Kasie Hunt on Sunday Paul was asked if a 2020 Republican primary was on the horizon. Paul said âno one can stop primaries from happening and there could well be a primary that happens â but added that a Trump re-election attempts would have to be signaled for first.
Thing is Paul isnât sure â at least at the time â whether or not Trump is wanting a second term.
âBefore you even get to that you need to know is President Trump running for reelection? I think you wonât know that until you get into sort of â second third year of his presidency â said Paul .
Paul said he doesnât seem himself supporting anyone else but Trump at this time noting that Trump has repealed regulations for the first time in 20 years has a very conservative cabinet and may get a couple more Supreme Court appointees out of his run.
âSo I see the glass as half full. Doesnât mean I agree with him on everything â Paul said.
Paul said that one issue would tempt Paul away from Trump should another candidate rise against him .
âYou know there would be people that â if we could end the Afghan war thatâs who I would support. But I donât think thatâs going to be an alternative to President Trump â said Paul .
Example Output: Neutral
Example Input: What is the sentiment of the following document towards the entity Rodrigo Duterte ? The Philippine government has revoked the operating license of leading news website Rappler officials said Monday in a ruling denounced by President Rodrigo Duterte ' s critics as the latest blow to press freedom . Rappler set up in 2012 is among a clutch of Philippine news organizations that have sparred with Duterte over their critical coverage of his brutal drugs war . But the government rejected allegations that the ruling was an attack on press freedom with Duterte ' s spokesman saying Rappler and Rappler Holdings Corp had violated a provision in the country ' s constitution restricting media ownership to Filipinos . At his state of the nation address to Congress last year Duterte vowed to expose Rappler ' s " American ownership ." " The issue at hand is the compliance of 100 percent Filipino ownership and management of mass media . It is not about infringement on the freedom of the press " Duterte spokesman Harry Roque said in a statement Monday . " No one is above the law . Rappler has to comply " Roque added . Rappler ' s acting managing editor Chay Hofilena told AFP the company would file a court appeal against the Securities and Exchange Commission ( SEC ) ruling which is due to take effect in 15 days . " This is pure and simple harassment the seeming coup de grace to the relentless and malicious attacks against us since 2016 " the website said in a statement . " We will continue bringing you the news holding the powerful to account for their actions and decisions calling attention to government lapses that further disempower the disadvantaged " it said . The case concerns Rappler Holdings ' decision to issue Philippine depositary receipts for shares of Rappler Inc . that the government said were sold to foreign companies . "( They are ) existing for no other purpose than to effect a deceptive scheme to circumvent the constitution " the SEC said in a January 11 ruling to revoke Rappler ' s certificates of incorporation that was posted on the commission ' s website Monday . The ruling followed setbacks suffered by other Philippine news organisations which have criticized Duterte ' s war on drugs that has killed nearly 4 000 suspects . In March last year Duterte described top newspaper Philippine Daily Inquirer and leading television broadcaster ABS - CBN as " sons of whores " and warned them of karmic repercussions over their criticism of his drug war . " I ' m not threatening them but someday their karma will catch up with them " Duterte said . " They ' re shameless those sons of whore journalists " he added . Four months later the Inquirer announced its owners were in talks to sell the publication . A business tycoon who backed Duterte ' s 2016 election bid later disclosed he was planning to buy the Inquirer . Last year Duterte threatened to block ABS - CBN ' s application to renew its operating franchise a permit that requires congressional approval . The mass media watchdog group National Union of Journalists of the Philippines denounced the Rappler ruling . " It was but one of many threats Duterte has made against media critical of him and his governance such as the Philippine Daily Inquirer and broadcast network ABS - CBN " the union said in a statement . " We call on all Filipino journalists to unite and resist every and all attempts to silence us " the group added . Opposition Senator Risa Hontiveros also criticised the ruling calling it " pure harassment and a clear attack on press freedom ."
Example Output: | Positive
| 3 | NIv2 | task420_persent_document_sentiment_classification | fs_opt | [
-0.37440234422683716,
-0.0896746814250946,
0.18344831466674805,
-0.19263529777526855,
0.4386850893497467,
-0.4048721194267273,
1.1498311758041382,
0.9555705189704895,
-0.438748300075531,
0.709204912185669,
0.02686305157840252,
0.5299025774002075,
0.0775773823261261,
-0.1596050262451172,
... |
In this task, you need to count the number of vowels (letters 'a', 'e', 'i', 'o', 'u') / consonants (all letters other than vowels) in the given sentence.
[Q]: Sentence: 'dogs are running around while a man on a horse passes through'. Count the number of consonants in the given sentence.
[A]: 30
[Q]: Sentence: 'a little baby is sitting in a baseball glove'. Count the number of consonants in the given sentence.
[A]: 22
[Q]: Sentence: 'a line of elephants walking down a street'. Count the number of consonants in the given sentence.
[A]: | 21
| 5 | NIv2 | task157_count_vowels_and_consonants | fs_opt | [
0.16620349884033203,
0.20289629697799683,
-1.0516459941864014,
-0.3706163763999939,
-0.35241326689720154,
-0.2392086535692215,
-0.14648211002349854,
0.8634778261184692,
-0.11624785512685776,
-0.5255475044250488,
-0.8950785398483276,
0.33068838715553284,
-0.055280063301324844,
-0.3983159661... |
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:
1. count: returns the number of rows in the view
2. only: returns whether there is exactly one row in the view
3. hop: returns the value under the header column of the row
4. and: returns the boolean operation result of two arguments
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column
6. nth max/nth min: returns the n-th max/n-th min of the values under the header column
7. argmax/argmin: returns the row with the max/min value in header column
8. nth argmax/nth argmin: returns the row with the n-th max/min value in header column
9. eq/not eq: returns if the two arguments are equal
10. round eq: returns if the two arguments are roughly equal under certain tolerance
11. greater/less: returns if argument 1 is greater/less than argument 2
12. diff: returns the difference between two arguments
13. filter eq/not eq: returns the subview whose values under the header column is equal/not equal to argument 3
14. filter greater/less: returns the subview whose values under the header column is greater/less than argument 3
15. filter greater eq /less eq: returns the subview whose values under the header column is greater/less or equal than argument 3
16. filter all: returns the view itself for the case of describing the whole table
17. all eq/not eq: returns whether all the values under the header column are equal/not equal to argument 3
18. all greater/less: returns whether all the values under the header column are greater/less than argument 3
19. all greater eq/less eq: returns whether all the values under the header column are greater/less or equal to argument 3
20. most eq/not eq: returns whether most of the values under the header column are equal/not equal to argument 3
21. most greater/less: returns whether most of the values under the header column are greater/less than argument 3
22. most greater eq/less eq: returns whether most of the values under the header column are greater/less or equal to argument 3
Q: greater { hop { filter_eq { all_rows ; name ( english ) ; alliance '90 / the greens } ; votes ( 2011 ) } ; hop { filter_eq { all_rows ; name ( english ) ; free democratic party } ; votes ( 2011 ) } } = true
A: | select the rows whose name english record fuzzily matches to alliance 90 the greens . take the votes 2011 record of this row . select the rows whose name english record fuzzily matches to free democratic party . take the votes 2011 record of this row . the first record is greater than the second record . | 4 | NIv2 | task110_logic2text_sentence_generation | zs_opt | [
0.0446917787194252,
-0.1805930882692337,
-0.21664172410964966,
0.04874318838119507,
-0.040204692631959915,
-0.4541458487510681,
0.6250519752502441,
0.4226600229740143,
-0.03633059933781624,
-0.05143599957227707,
-0.39624717831611633,
-0.12365363538265228,
0.09190812706947327,
0.48328942060... |
Detailed Instructions: 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.
Q: Sentence: 'the orange halves have butterflies sitting on them'. Is 'sitting' the longest word in the sentence?
A: | No | 9 | NIv2 | task114_is_the_given_word_longest | zs_opt | [
-0.47979336977005005,
0.6528223752975464,
0.031253375113010406,
-0.12872755527496338,
-0.28646963834762573,
-0.8041031360626221,
0.6675521731376648,
0.420936644077301,
0.11302438378334045,
-0.3249659240245819,
-0.2910500168800354,
-0.5825552344322205,
0.02083069458603859,
0.401851087808609... |
In this task, given a sentence in English Tokens, your task is to convert it into the English language
--------
Question: FUSS Soledad GNU / Linux has multi-language support and uses the GNOME desktop environment .
Answer: FUSS Soledad GNU/Linux has multi-language support and uses the GNOME desktop environment.
Question: The Muslim Brotherhood claimed children were killed in the conflict but Colonel Ali claims the photos being used by the Muslim Brotherhood are actually photos from Syria in March .
Answer: The Muslim Brotherhood claimed children were killed in the conflict but Colonel Ali claims the photos being used by the Muslim Brotherhood are actually photos from Syria in March.
Question: Elizabeth Wilmshurst , then Deputy Legal Adviser to the Foreign and Commonwealth Office , resigned in protest only days before the invasion .
Answer: | Elizabeth Wilmshurst, then Deputy Legal Adviser to the Foreign and Commonwealth Office, resigned in protest only days before the invasion.
| 7 | NIv2 | task547_alt_translation_entk_en | fs_opt | [
-0.1257171630859375,
0.013353516347706318,
-0.10598580539226532,
-0.33901917934417725,
-0.22131097316741943,
-1.0689771175384521,
0.6445885896682739,
0.08252228796482086,
0.7525744438171387,
0.38702359795570374,
0.502844512462616,
0.8143559098243713,
-0.6779888272285461,
0.1810240447521209... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Polish.
Example Input: من به آن داده ها در سپتامبر نیاز داریم.
Example Output: Potrzebuję tych danych we wrześniu.
Example Input: من نمی دونم آیا این بیشتر شادی رو در بر داشت ، یا این یکی ، که وقتی کسی به گوگل می رفت با این در صفحۀ اصلی روبرو می شد.
Example Output: Nie wiem tylko, czy większy aplauz wywołało to, czy to, co zobaczyliśmy na stronie Google, która wyglądała tak.
Example Input: از تحقیقات پزشکی ، کاوش فضایی ، جایی که من فعالیت می کنم ، در سرن در ژنو ، فیزیک ذرات ، مهندسی ، حتی هنر و علوم انسانی ، تامین شده از بودجه علمه ، که اون 3.3 میلیارده ، اون حباب کوچک زرد دور اون حباب نارنجی ، در بالا سمت چپ نمایشگر.
Example Output: | od medycyny, misji kosmicznych, CERN w Genewie - gdzie pracuję, fizyki molekularnej, inżynierii i nauk humanistycznych, wszystko z tego samego budżetu, 3.3 mld., ten mały żółty bąbel wokół pomarańczowego na górze po lewej.
| 3 | NIv2 | task1272_ted_translation_fa_pl | fs_opt | [
-1.2386161088943481,
0.6453934907913208,
-0.6159003973007202,
-0.1216416284441948,
-1.143276572227478,
0.0840015709400177,
0.6425769925117493,
0.23698845505714417,
0.1845395863056183,
-0.43596553802490234,
-0.5817065238952637,
0.5001037120819092,
0.08255261927843094,
0.06454530358314514,
... |
Given the task definition and input, reply with output. In this task, you're given a fill-in-the-blank question that contains two object names. Additionally, you're given one answer which is one of the objects present in the question. In this task, you need to minimally change the given question so that the answer flips to another object in the question. Remember the question has to be about both objects which are related but different; for example, "trophy" and "suitcase". This task typically involves replacing one word i.e., the 'trigger word' with its antonym (e.g., changing from "small" to "big"). You should not change any content in the given question beyond a word or two, i.e., the trigger word/phrase. The expected answer to your question must not be associated with just the trigger word; instead, it should depend on the context present in the question. The expected answer should not be ambiguous. For your question, there should be an agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. In your generated question, retain the object names from the input question. Avoid repeating the same style or phrase in generating your modified question e.g. this task can be always solved using a simple negation i.e. by adding not, never, etc. Instead, try to increase the word diversity. Your question must contain at least 15 and at most 30 words. Your question must have at least 70% overlapping words with the given question. You must utilize the given context word while writing the question. Your question must contain only one blank. The two objects should be used ONCE in your question. Here is a list of attributes and associated contrastive words that may help write contrastive trigger words. Note that contrastive trigger words help in flipping the label.
| Attribute | triggerword | contrastive triggerword |
| age | old | new |
| altitude | low | high |
| area | small | vast |
| brightness | dark | light |
| clarity | obscure | clear |
| cleanness | dirty | clean |
| complexity | simple | complex |
| cost | cheap | expensive |
| density | sparse | dense |
| depth | shallow | deep |
| distance | near | far |
| electric conductivity | low | high |
| flexibility | rigid | flexible |
| granularity | fine | coarse |
| hardness | soft | hard |
| length | short | long |
| magnitude | small | large |
| mass | small | large |
| odor | weak | strong |
| pressure | low | high |
| resistance | low | high |
| shape | round | sharp |
| shape | flat | spiky |
| size | small | large |
| sound | quiet | loud |
| sound pitch | low | high |
| speed | slow | fast |
| stability | unstable | stable |
| strength | weak | strong |
| temperature | low | high |
| texture | smooth | rough |
| thermal conductivity | low | high |
| thickness | thin | thick |
| volume | small | large |
| weight | light | heavy |
| width | narrow | wide |
| location | in | out |
| location | up | down |
| location | above | below |
| location | on | off |
| location | to | from |
Context Word: tumbler.
Question: The bartender spilled the vermouth out of the tumbler and filled it with the vodka, as the _ would ruin the drink.
Answer: vermouth.
| The bartender spilled the vermouth out of the tumbler and filled it with the vodka, as the _ would make the drink. | 5 | NIv2 | task034_winogrande_question_modification_object | zs_opt | [
0.8215599060058594,
0.28282853960990906,
0.2030094861984253,
-0.08978618681430817,
0.7135475873947144,
-0.5715764164924622,
0.5083576440811157,
1.0457968711853027,
-0.5119972825050354,
-0.2549290657043457,
-0.47917431592941284,
0.28151988983154297,
-0.5417165756225586,
-0.05486839637160301... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Input: Consider Input: Atopamos incluso planetas que orbitan dúas estrelas.
Output: ２つの恒星の周りを公転している惑星も発見されています
Input: Consider Input: Os antigos gregos dixéronnos que a Terra era o centro do universo.
Output: 古代ギリシャ人は地球が宇宙の中心だと人々に説いてきました
Input: Consider Input: Chámase coidado da saúde: un sistema no que os médicos poidan prescribir solucións para mejorar a saúde, non só controlar enfermidades.
| Output: それは医療と呼ばれ ― 医師達が健康を改善する為のソリューションを処方することができるシステムです疾患の管理をするだけではありません
| 2 | NIv2 | task1239_ted_translation_gl_ja | fs_opt | [
-0.21532133221626282,
0.7135398983955383,
-0.5741729736328125,
-0.7028605341911316,
-0.4655924439430237,
-0.895930290222168,
0.21215173602104187,
-0.26486000418663025,
0.21256211400032043,
-0.7324295043945312,
-0.6158342361450195,
0.5072672963142395,
-0.4604845345020294,
0.1019926369190216... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write your answer in the form " A >Motivates> B". Try to use phrases and sentences from the story to compose your answer when possible. For the motivation sentence, you must choose a verb from :feel(s), want(s) or like(s). There will always be some motivation in the given story.
One example is below.
Q: story: Rita loved riding her bike down the trails of the state park. While she was riding, she came across a bear. She immediately hit a side path. She pedaled as fast as she could out of the state park. Rita will now only go on the trails when she is with friends.
selected sentence: Rita will now only go on the trails when she is with friends.
A: Rita feel(s) scared >Motivates> Rita will only go on the trails with her friends
Rationale: The story is about Rita being scared in her experience, so the answer is correct.
Q: story: Louis loved to eat meatloaf. He made it at least once a week at home. One day Louis got really sick after eating his meatloaf. He was sick for a week and ended up having the flu. Even though Louis had the flu, he didn't eat meatloaf for a long time.
selected sentence: He made it at least once a week at home.
A: | Louis like(s) meatloaf >Motivates> Louis makes meatloaf | 9 | NIv2 | task747_glucose_cause_emotion_detection | fs_opt | [
0.7792243957519531,
0.26415884494781494,
-0.5551691651344299,
0.48811256885528564,
-0.02873266488313675,
-1.0015347003936768,
0.9452037811279297,
0.5590910911560059,
-0.920722246170044,
-0.516289234161377,
-0.6803276538848877,
0.13213154673576355,
-0.07667917758226395,
-0.0341658778488636,... |
Given the task definition and input, reply with output. In this task, you will be presented with a context from an academic paper and a question based on the context. You have to classify the questions into "Extractive", "Abstractive", or "Yes-no" questions. Extractive questions can be answered by concatenating extracts taken from a context into a summary while answering abstractive questions involves paraphrasing the context using novel sentences. Yes-no question is a question whose expected answer is one of two choices, one that affirms the question and one that denies the question. Typically, the choices are either yes or no.
The informal setting/environment of social media often encourage multilingual speakers to switch back and forth between languages when speaking or writing. These all resulted in code-mixing and code-switching. Code-mixing refers to the use of linguistic units from different languages in a single utterance or sentence, whereas code-switching refers to the co-occurrence of speech extracts belonging to two different grammatical systemsBIBREF3. This language interchange makes the grammar more complex and thus it becomes tough to handle it by traditional algorithms. Thus the presence of high percentage of code-mixed content in social media text has increased the complexity of the aggression detection task. For example, the dataset provided by the organizers of TRAC-2018 BIBREF0, BIBREF2 is actually a code-mixed dataset.
Question: What data/studies do the authors provide to support the assertion that the majority of aggressive conversations contain code-mixed languages?
| Abstractive | 5 | NIv2 | task462_qasper_classification | zs_opt | [
0.48041588068008423,
0.14633265137672424,
-0.425664484500885,
-0.08193853497505188,
0.3590942323207855,
-0.30183660984039307,
0.3772856295108795,
0.9855176210403442,
-0.22535954415798187,
0.292774498462677,
-0.4124664068222046,
-0.16404110193252563,
-1.4516363143920898,
-0.1042557656764984... |
TASK DEFINITION: In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions of the participants in the sentence and those affected by it. Is any of these emotions caused by the sentence? You should write your answer in the form " A >Causes> B". Try to use phrases and sentences from the story to compose your answer when possible. For the sentence describing the result, you must use the verb feel(s).
PROBLEM: story: Ada watched a red robin land on her lawn. It hopped around happily. Then it bent its head and skewered a worm! It swallowed the worm hungrily. Ada was a little taken aback by nature's violence!
selected sentence: It hopped around happily.
SOLUTION: The robin hops around happily >Causes> The robin feel(s) happy
PROBLEM: story: Tim was trying to draw the perfect circle. He could not do it. He tried twelve times. He had an idea. He traced around a CD to get a perfect circle.
selected sentence: He had an idea.
SOLUTION: Tim gets an idea >Causes> Tim feel(s) happy
PROBLEM: story: Harry made some food. He put it in the oven to cook. He went outside to work. He smelled some smoke. He ran inside to stop the fire.
selected sentence: Harry made some food.
SOLUTION: | Harry makes some food >Causes> Harry feel(s) optimistic
| 8 | NIv2 | task749_glucose_reverse_cause_emotion_detection | fs_opt | [
0.10068634152412415,
0.7198243737220764,
0.09138789027929306,
-0.10815179347991943,
-0.34118157625198364,
-1.1159001588821411,
0.43475252389907837,
0.7035278081893921,
-0.3556091785430908,
-0.28076350688934326,
-0.6952084302902222,
0.3319433033466339,
-0.32801392674446106,
0.09771806001663... |
Given the task definition and input, reply with output. You are given an original reference as well as a system reference. Your task is to judge the quality of the system reference. If the utterance is grammatically correct and fluent output 1, else output 0.
System Reference: what type of food would you like to eat?
Original Reference: what kind of food are you hungry for?.
| 0 | 5 | NIv2 | task1283_hrngo_quality_classification | zs_opt | [
-1.1736364364624023,
1.2048442363739014,
-0.018327757716178894,
0.3396828770637512,
-0.41284918785095215,
-0.48662787675857544,
1.068311333656311,
0.2815278172492981,
-0.3062700629234314,
-0.21636027097702026,
-0.5703984498977661,
-0.7201358079910278,
-0.713751494884491,
-0.137894868850708... |
In this task you're given a question and you have to paraphrase the question to create the output question while retaining the meaning of the original question.
[EX Q]: How can I keep my toothbrush clean?
[EX A]: How do I keep my teeth clean?
[EX Q]: What is the price of iPhone 5C display?
[EX A]: What will be the price of the iPhone 5c in India?
[EX Q]: What's the most interesting thing you've seen stuffed by a taxidermist?
[EX A]: | Why did Fred not appear when Harry used the Resurrection Stone?
| 6 | NIv2 | task1345_glue_qqp_question_paraprashing | fs_opt | [
-0.4559886157512665,
0.6624838709831238,
-0.5188592076301575,
-0.12612661719322205,
0.014401738531887531,
0.14333702623844147,
-0.19677351415157318,
0.48398882150650024,
-0.03647692874073982,
-0.008267251774668694,
0.04308160021901131,
0.26196396350860596,
-0.4823216199874878,
0.1812817901... |
You will be given a definition of a task first, then some input of the task.
You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equally likely to fill the blank. There should be an agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use the names of real people (e.g., Donald Trump, Putin, etc.) in your question. Avoid repeating the same style, pattern, or phrases in each question, try to increase diversity by varying sentence structure, blank placement, etc. Your question must contain at least 15 and at most 30 words. You must utilize the given context word while writing the question. Your question must contain only one blank. Make sure that Person X and Person Y have the same gender. In your question, PersonX and PersonY should be used only ONCE and PersonX should appear earlier than PersonY.
Context Word: Wanting.
Output: | Wanting a new car was all PersonX thought about as where a new home was all PersonY thought about, _ wants a new vehicle. | 1 | NIv2 | task032_winogrande_question_generation_person | zs_opt | [
0.5167487859725952,
0.5304466485977173,
0.36096063256263733,
0.2595946490764618,
0.2108611762523651,
0.11240164935588837,
0.6384012699127197,
0.6794619560241699,
-0.23486486077308655,
-0.8101774454116821,
-0.09662643074989319,
-0.33012181520462036,
-0.31293344497680664,
-0.3752634227275848... |
Detailed Instructions: The input is a sentence. The sentence includes an emotion. The goal of the task is to classify the emotion in the sentence to one of the classes: 'fear', 'joy', 'anger', 'sadness'. The emotion mainly depends on the adverb within the sentence.
See one example below:
Problem: Alphonse feels anxious.
Solution: fear
Explanation: Anxious is a negative emotion that can very well fall under the category of FEAR.
Problem: Tia feels glad.
Solution: | joy | 4 | NIv2 | task1338_peixian_equity_evaluation_corpus_sentiment_classifier | fs_opt | [
-0.32878556847572327,
0.3812524080276489,
0.4302161633968353,
-0.5228911638259888,
-0.2296857237815857,
-0.5613011121749878,
1.3903326988220215,
0.4206206202507019,
0.13323885202407837,
0.1438159942626953,
-0.5897892117500305,
-0.39697325229644775,
-0.404227614402771,
-0.002986744046211242... |
Detailed Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Arabic.
Problem:Conseguiu pasar os meus filtros de correos lixo.
Solution: | وتمكنت من اختراق حاجز البريد غير المرغوب فيه. | 8 | NIv2 | task1241_ted_translation_gl_ar | zs_opt | [
-0.419318288564682,
-0.10000064969062805,
-0.07039205729961395,
-1.1627368927001953,
0.11956186592578888,
-0.554561197757721,
0.190100759267807,
-0.050468962639570236,
-0.3891083598136902,
0.03495965898036957,
-0.17683950066566467,
-0.23923718929290771,
-0.8806111812591553,
0.6272573471069... |
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 have to determine whether, as a result of the Head, PersonX wants what is mentioned in the Tail or not. In this task, wanting is a postcondition desire on the part of PersonX, respectively. As a result of PersonX giving PersonY gifts, PersonX may also desire to hug PersonY. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Input: Head: PersonX gives PersonY a heart<sep>Tail: to receive affection
Output: | Yes | 2 | NIv2 | task1214_atomic_classification_xwant | zs_opt | [
0.13632477819919586,
0.2007281631231308,
0.3253805637359619,
-0.4944233298301697,
-0.44854724407196045,
-0.8396749496459961,
1.4249051809310913,
-0.3434620499610901,
-0.6210008263587952,
-0.6986542344093323,
-0.23398052155971527,
-0.5399961471557617,
-0.8190364837646484,
0.7184185981750488... |
A text is given in English. Translate it from the English language to the Gujarati language. The translation must not omit or add information to the original sentence.
[EX Q]: તાજેતરમાં 1 ડિસેમ્બર, 2018નાં રોજ GSLV-F11ને સફળતાપૂર્વક લોંચ કરવાની સાથે જીએસએલવીએ 10 રાષ્ટ્રીય ઉપગ્રહો ભ્રમણકક્ષામાં સફળતાપૂર્વક ફરતા મૂક્યાં છે.
[EX A]: The GSLV Continuation Programme - Phase 4 will meet the launch requirement of satellites for providing critical Satellite Navigation Services, Data Relay Communication for supporting the Indian Human spaceflight programme and the next interplanetary mission to Mars.
[EX Q]: સૌમ્ય વ્યક્તિત્વ, કુશળ નેતૃત્વ અને બુલંદ જુસ્સાના પ્રતીક લાલ બહાદૂર શાસ્ત્રીજીને એમની જન્મજયંતી પર વિનમ્ર શ્રદ્ધાંજલિ.
[EX A]: The Prime Minister will also visit Vijay Ghat to offer floral tributes to former Prime Minister Lal Bahadur Shastri on his birth anniversary.
[EX Q]: ઉપરાંત મંત્રીએ લિંગ, વર્ગ, જાતિ અને મૂળ સ્થાનનાં આધારે કલમ 30ની જોગવાઈઓને ભેદભાવયુક્ત ગણાવી હતી.
[EX A]: | The widespread support can be clearly seen in the final numbers, 125:61 in RS and 370:70 in LS.
| 6 | NIv2 | task1080_pib_translation_gujarati_english | fs_opt | [
-1.4530960321426392,
-0.18173854053020477,
0.3386222720146179,
-0.40978753566741943,
0.42881903052330017,
-0.09420561790466309,
0.6428974270820618,
-0.007515668869018555,
-0.11466416716575623,
-0.3897397518157959,
-0.7051904201507568,
0.29366543889045715,
-0.4235537052154541,
0.18567976355... |
You will be given a definition of a task first, then some input of the task.
A text is given in Panjabi. Translate it from the Panjabi language to the Tamil language. The translation must not omit or add information to the original sentence.
ஆயுஷ்மன் பாரத் திட்டத்தின்கீழ், தேசிய சுகாதார பாதுகாப்பு இயக்கத்தை ஒருங்கிணைத்தல்.
Output: | ਇਹ ਆਯੁਸ਼ਮਾਨ ਭਾਰਤ ਅਧੀਨ ਪ੍ਰਸਤਾਵਿਤ ਰਾਸ਼ਟਰੀ ਸਿਹਤ ਰੱਖਿਆ ਮਿਸ਼ਨ ਨਾਲ ਜੁੜੇਗਾ। | 1 | NIv2 | task1016_pib_translation_tamil_punjabi | zs_opt | [
0.6137383580207825,
0.7262572646141052,
-0.11557279527187347,
0.2199879139661789,
-0.18015916645526886,
-0.5008734464645386,
0.10808397829532623,
0.11901238560676575,
-0.2832089066505432,
0.8135255575180054,
-0.2711641192436218,
0.1372666358947754,
-0.571925699710846,
-0.01804128661751747,... |
instruction:
In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
question:
McCullum, who opened the bowling for NZ, took three wickets while Oram took another four wickets and triggered a collapse.
answer:
ニュージーランドにボーリング投法を広めたマッカラムは、オーラムが他の4人をアウトにして調子が落ちるきっかけを作った一方で、3人をアウトにした。
question:
"I want them to stop imposing Landmark on the employees, and I want an apology," said Glasgow in a statement in The Village Voice.
answer:
「私は彼らに、ランドマークを従業員に押し付けることを止めて欲しいし、謝罪して欲しい」と、グラスゴーはビレッジ・ボイスの声明で述べた。
question:
Crichton, who was born in Chicago, Illinois in 1942, was most famous for the writing of his Jurassic Park novels.
answer:
| クライトン氏は1942年にイリノイのシカゴで生まれ、ジェラシック・パークの小説で最も有名だ。
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