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In this task you will be given a text passage from a trivia quiz. You should choose the category this question belongs to from these categories: History, Science, Social Science, Fine Arts, Literature. You can only choose one category, so if in doubt, please choose the closest match.
Input: Consider Input: This country's Mar Chiquita is northeast of its second-largest city. Its capital city contains a planetarium named after Galileo and the 9th of July Avenue, which honors this country's independence day. Its province of Corrientes is separated from the Chaco province by the Parana River, and it is home to the Mapuche tribes, which inhabit its eastern pampas and Patagonia regions. The tallest mountain in this country as well as the entire Western and Southern Hemispheres, is Aconcagua. For 10 points, name this South American country claiming sovereignty over the Falkland Islands, with capital Buenos Aires.
Output: Social Science
Input: Consider Input: In topological insulators, one version of this effect gives rise to a defect-resistant current induced by spin-orbit coupling. In graphene, this effect is shifted by one half, giving rise to an anomalous minimum of the relevant quantity, which can allow for ballistic transport. A more complex version of it was discovered in gallium arsenide and can be explained by Laughlin quasiparticles; this is referred to as the fractional version. This effect can be understood in terms of partial filling of Landau levels and has characteristic "plateaus", and it yields numbers called filling factors. Discovered by Klaus von Klitzing when studying a two-dimensional electron gas, for 10 points, identify this effect in which conductivity in a strong magnetic field is quantized.
Output: Science
Input: Consider Input: This man and Blatt name a method for inducing cognitive dissonance by asking questions and then letting the subject spontaneously formulate a response. He used the term "Hierarchic Integration" to describe one of his theories, which relies on a process of conflict resolution called "justice operation." This psychologist proposed a thought experiment in which a man breaks into adrug store to steal for his sick wife. His best-known work was criticized for only examining male subjects in the book In A Different Voice by Carol Gilligan. That work outlines a theory dividing development into three levels: pre-conventional, conventional, and post-conventional. For 10 points, name this psychologist who outlined a six stage theory of moral development.
| Output: Social Science
| NIv2 | task521_trivia_question_classification | fs_opt |
In this task, you are given a sentence in the French language. Your task is to convert it to Slovak language.
Q: Dites aux membres de votre famille, à vos amis et à vos collègues proches que si vous vous évanouissez (perdez connaissance), ils doivent vous allonger sur le côté et appeler immédiatement un médecin.
A: | Povedzte Vašim príbuzným, priate om a blízkym spolupracovníkom, ke cítite, že omdlievate (upadáte do bezvedomia), že Vás musia uloži do polohy na bok a privola okamžite lekársku pomoc. | NIv2 | task762_emea_fr_sk_translation | zs_opt |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
Example Input: To normalne, aby wierzyć, że te infekcje są rzadkimi przypadkami, ale w rzeczywistości, w Stanach Zjednoczonych i Europie, 50 tysięcy ludzi rocznie umiera przez infekcje, na które nie ma leków.
Example Output: Sería normal esperar que estas infeccións fosen casos extraordinarios, pero de feito, nos Estados Unidos e Europa, 50.000 persoas morren cada ano de infeccións que ningún medicamento pode curar.
Example Input: To nie są stare zdjęcia ze sponiewieranego szpitala. To duży szpital kliniczny w Nigerii.
Example Output: Non son imaxes antigas nin de ningún antro. É un hospital importante. De feito, é o maior hospital universitario de Nixeria.
Example Input: Niektóre wyglądają jak te, w których mieszkałem jako student.
Example Output: | Algúns parécense a apartamentos nos que vivín cando era estudante.
| NIv2 | task1261_ted_translation_pl_gl | fs_opt |
Given the task definition and input, reply with output. In this task, you are given a premise sentence in Persian and a label in English. Label determines whether a hypothesis sentence entails, contradicts, or is neutral with respect to the given premise sentence. You have to generate the hypothesis sentence based on the label and the premise sentence. Your sentence should be fluent and grammatically correct. Even though there exist multiple answers, we only need a single answer.
Premise: فکر می کنم اینجا کار دیگری وجود ندارد ، مگر اینکه ، او با جدیت و طولانی به خاکسترهای مرده در رنده نگاه کند. <sep> Label: Entailment
| کار دیگری باقی نمانده است. | NIv2 | task464_parsinlu_entailment_sentence_generation | zs_opt |
Teacher:In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language.
Teacher: Now, understand the problem? Solve this instance: O persoană face un truc de cărți.
Student: | A person is performing a card trick. | NIv2 | task1435_ro_sts_parallel_language_translation_ro_to_en | zs_opt |
Q: The input is a sentence. The sentence includes an emotion. The goal of the task is to classify the emotion in the sentence to one of the classes: 'fear', 'joy', 'anger', 'sadness'. The emotion mainly depends on the adverb within the sentence.
Malik feels scared.
A: | fear | NIv2 | task1338_peixian_equity_evaluation_corpus_sentiment_classifier | zs_opt |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
Q: 気がふれて私のように機械のようになった女性もいます
A: بعضی دیگر ، دیوانه شدند و تبدیل به یک ماشین فعال شدند ، مثل من.
****
Q: 次の芸術家はケイ・オヴァストリーです彼女は短命や儚さに興味があり
A: هنرمند بعدی کای اورستری هست ، به ناپایداری و زودگذری علاقمند است.
****
Q: タイプⅡのミスは偽陰性です
A: | خطای نوع دوم ما منفی نادرست است.
****
| NIv2 | task1098_ted_translation_ja_fa | fs_opt |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
Problem:Y esto pondría en jaque a la libertad de expresión y a la acción política popular, la esencia de la democracia.
Solution: | וזה ייבש את חופש הביטוי ופעילות פוליטית עממית, שהם לב ליבה של הדמוקרטיה. | NIv2 | task1229_ted_translation_es_he | zs_opt |
Detailed Instructions: A text is given in Bengali. Translate it from the Bengali language to the Oriya language. The translation must not omit or add information to the original sentence.
Q: ଭିତ୍ତିଭୂମି ଏବଂ ଯୋଗାଯୋଗ, ପରିବହନ ଏବଂ ଶକ୍ତି କ୍ଷେତ୍ରରେ ଆମର ସହଯୋଗ ଜାରି ରଖିବା ଲାଗି ଆମେ ପ୍ରତିଶ୍ରୁତିବଦ୍ଧ ।
A: | বর্তমানে,শ্রীলঙ্কার সঙ্গে ভারতের উন্নয়ন সহযোগিতার মাত্রা উন্নীত হয়েছে ২.৬ বিলিয়ন মার্কিন ডলারে । | NIv2 | task998_pib_translation_oriya_bengali | zs_opt |
You are given two sentences. You have to find if there is entailment or agreement of the Hypothesis by the Premise. From the given pair of sentences, you should identify if there is enough information in the Premise to support the claim made in the Hypothesis. The Premise may not exactly be the same as Hypothesis. Your task is to return 'entails' if the premise supports hypothesis else return 'neutral'.
Premise: Covalent bond The force that holds (binds together) atoms that are not cations and anions, instead they share electrons to each obtain an octet.
Hypothesis: Electrons always result in an anion that is larger than the parent atom. | neutral | NIv2 | task1529_scitail1.1_classification | zs_opt |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.
See one example below:
Problem: Ora, lungo il percorso, George segnala che la sua tecnologia, la tecnologia della biologia sintetica, sta accelerando molto più velocemente del tasso previsto dalla Legge di Moore.
Solution: Ao longo do livro, George chama a atenção de que a sua tecnologia, a tecnologia da biologia sintética, está atualmente a acelerar a uma taxa 4 vezes superior à Lei de Moore.
Explanation: The Italian sentence is correctly translated into Portugese, because the meaning is preserved.
Problem: Ma in questo caso siccome l'interno è libero di oscillare in relazione alla sfera, essa può stare in piedi su un punto.
Solution: | Mas neste caso, porque o interior balança livremente em relação à esfera, fica equilibrado num ponto. | NIv2 | task1255_ted_translation_it_pt | fs_opt |
You will be given a definition of a task first, then some input of the task.
In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.
Sentence1: 'a woman sitting on a chair next to a man', Sentence2: 'a coach watches on as a pitcher pitches'. Is the frequency of the word 'a' in two sentences equal?
Output: | No | NIv2 | task159_check_frequency_of_words_in_sentence_pair | zs_opt |
Given a sentence, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
Example: Verify if the sentiment of the following document towards the entity Bill Clinton is Negative. Bill Clinton knows how to win friends and influence people.
Example solution: no
Example explanation: Here the author of the document praises Bill for this ability to win friends. So the sentiment should be Positive and not Negative.
Problem: Verify if the sentiment of the following document towards the entity Darren Drake is Positive . Last Tuesday Drake was on a CitiBike listening to an audio book when he was hit by 29-year-old Sayfullo Saipov who drove a rented Home Depot truck through the lower Manhattan bike lane.
| Solution: yes | NIv2 | task422_persent_sentence_sentiment_verification | fs_opt |
Definition: You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.
Input: Queste cadute hanno forme diverse.
Output: | As depressões têm formas variáveis. | NIv2 | task1255_ted_translation_it_pt | zs_opt |
You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.
[Q]: There are 7 crayons in the drawer and 6 crayons on the desk . Sam placed 4 crayons and 8 scissors on the desk . How many crayons are now there in total ?
[A]: 17
[Q]: Melanie picked 4 plums , Dan picked 9 plums , and Sally picked 3 plums from the plum tree . How many plums were picked in total ?
[A]: 16
[Q]: There are 43 pencils in the drawer and 19 pencils on the desk . Dan placed 16 pencils on the desk . How many pencils are now there in total ?
[A]: | 78
| NIv2 | task867_mawps_multiop_question_answering | fs_opt |
Instructions: You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to choose the correct answer to the question based on the passage. Answer of the question cannot be found directly from the passage, it is indirectly indicated in the passage. Do not answer with words other than the two options, and do not answer with option titles(e.g. "option1" or "1" are not acceptable answers.)
Input: Passage: Every teacher comes to a point in the school year when it is time to give out tests to ensure her students understand what is being taught to them . She will sit down and begin by looking at the end of the chapter review questions in the textbook . She will open her laptop and begin to create the exam by copying some of the questions that are presented in the book . In addition , she will often add questions that ask about the definitions of vocabulary words or words that have been focused on throughout the material . Also , she might add one or two additional essay questions at the end of the exam that will test whether or not the student as fully understood a particular concept in more detail . After that , she saves the exam and prints it out . Question: What gives the teacher the ability to assess student's writing and critical thinking skills? Option1: tests Option2: PE
Output: | tests | NIv2 | task165_mcscript_question_answering_commonsense | zs_opt |
In this task, you are given a sentence in the Gujarati language and a corresponding English translation of the Gujarati sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
One example: Gujarati: ઘેટાંની ટોળાં એક ગોચરમાં ચરાઈ સાથે મળીને ઊભા છે.
English: A herd of sheep standing together grazing in a pasture.
Solution is here: Yes
Explanation: These sentences also talk about a standing herd of sheep, thus we can say that it is a correct translation from Gujarati to English.
Now, solve this: Gujarati: એક વિમાન મુસાફરો સાથે લોડ થવા માટે તૈયાર થઈ રહ્યું છે
English: an airplane is getting ready to be loaded with passengers
Solution: | Yes | NIv2 | task440_eng_guj_parallel_corpus_gu-en_classification | fs_opt |
You are given a statement written in Telugu. 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 .
[EX Q]: Statement: 1521లో ముక్కు తిమ్మన రాయల తరఫున <MASK>ను సందర్శించి అక్కడ నావాడ నాయకులపై కృష్ణదేవరాయల విజయానికి ప్రతీకగా ఒక విజయశాసనం ప్రతిష్ఠించాడని చరిత్రకారులు భావిస్తున్నారు. ఈ ప్రసిద్ధి చెందిన కృష్ణదేవరాయల గయ శాసనం క్రింద రాజప్రశస్తిని కీర్తిస్తూ చెక్కబడిన కంద పద్యం ముక్కు తిమ్మన వ్రాసిన పారిజాతాపహరణంలోనిది కావటం, కృష్ణదేవరాయలు గయను సందర్శించిన ఆధారం లేకపోవటం ఈ సంభావ్యతకు మద్దతునిస్తున్నాయి.
Option A: విజయనగరం
Option B: గయ
Option C: అనంతపురం
Option D: దోర్ణిపాడు
[EX A]: గయ
[EX Q]: Statement: అనేక ముస్లిం నాయకులు, జిన్నాను బుజ్జగించి, 1934లో మరలా భారత్ను రప్పించుటలో సఫలీకృతులయ్యారు. భారత్ వచ్చిన జిన్నా <MASK> ను ప్రక్షాళణా కార్యక్రమం చేపట్టాడు. లాహోర్ తీర్మానం ద్వారా తన "దేశ విభజన" కావాలి ముస్లింల కొరకు ప్రత్యేక దేశం కావాలి అనే పట్టును సాధించుకున్నాడు. 1946లో జరిగిన ఎన్నికలలో ముస్లింలీగ్ అనేక సీట్లను గెలుచుకున్నది. జిన్నా నేరు కార్యాచరణ ఉద్యమం చేపట్టాడు, ఈ ఉద్యమం ద్వారా పాకిస్తాన్ స్వాతంత్ర్యం పొందుటకు మార్గం సుగమమయింది. ఆంగ్లేయుల విభజించు-పాలించు సూత్రాన్ని అమలు పరచుటలో జిన్నా ఒక పావుగా మారాడు. ఇందుకు విరుద్దంగా కాంగ్రెస్ కార్యకర్తలు ప్రజాందోళనలకు దిగారు, దక్షిణాసియాలో హింస ప్రజ్వరిల్లినది. దేశాన్ని పాలించుటకు, కాంగ్రెస్-ముస్లింలీగ్ లు ఏకం కాలేదు, కనీసం ఏక సూత్రముపైనా రాలేదు. ఇదే అదనుగా బ్రిటిష్ ప్రభుత్వం భారత్-పాకిస్తాన్ లకు స్వతంత్రాన్ని ప్రకటించింది.
Option A: లండన్
Option B: బంగ్లాదేశ్
Option C: పాకిస్తాన్
Option D: ముస్లింలీగ్
[EX A]: ముస్లింలీగ్
[EX Q]: Statement: ఇది మండల కేంద్రమైన వరరామచంద్రపురం నుండి 21 కి. మీ. దూరం లోను, సమీప పట్టణమైన <MASK> నుండి 116 కి. మీ. దూరంలోనూ ఉంది. 2011 భారత జనగణన గణాంకాల ప్రకారం ఈ గ్రామం 147 ఇళ్లతో, 418 జనాభాతో 202 హెక్టార్లలో విస్తరించి ఉంది. గ్రామంలో మగవారి సంఖ్య 191, ఆడవారి సంఖ్య 227. షెడ్యూల్డ్ కులాల సంఖ్య 9 కాగా షెడ్యూల్డ్ తెగల సంఖ్య 354. గ్రామం యొక్క జనగణన లొకేషన్ కోడ్ 579238.పిన్ కోడ్: 507135.
Option A: జహానాబాద్
Option B: పాల్వంచ
Option C: ఖమ్మం
Option D: కూనవరంలోను
[EX A]: | పాల్వంచ
| NIv2 | task954_wiki_cloze_te_multiple_choice_question_answering | fs_opt |
You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
Q: więc dla ważek nic nie ma,
A: | Nothing for these dragonflies. There is no more seasonal rain. | NIv2 | task1256_ted_translation_pl_en | zs_opt |
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".
--------
Question: What is the 401 , K , plan ?
Answer: Description
Question: When did the Dow first reach ?
Answer: Quantity
Question: What is the price for tuberculosis drugs ?
Answer: | Quantity
| NIv2 | task1289_trec_classification | fs_opt |
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 the Head can be characterized by being or having the Tail or not. Being characterized usually describes entities' general characteristics such as rose is red, or subjective attributes such as thirst is uncomfortable. It can also map to descriptors that speak to the substance or value of items such as meat has the property of being stored in the freezer or bike is powered by a person's legs. 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: wood<sep>Tail: cut by saws
SOLUTION: Yes
PROBLEM: Head: wall<sep>Tail: found in house
SOLUTION: Yes
PROBLEM: Head: PersonX answers PersonY's letter<sep>Tail: to invite PersonY
SOLUTION: | No
| NIv2 | task1212_atomic_classification_hasproperty | fs_opt |
Part 1. Definition
Given a sentence in the Lao, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Part 2. Example
ອິຕາລີໄດ້ເສຍໃຫ້ປ໊ອກຕຸຍການ 31 ຕໍ່ 5 ໃນພູລ C ຂອງ ການແຂ່ງຂັນຣັກບີ້ລະດັບໂລກປີ 2007 ທີ່ ປາກເດແພຣັງ ປາຣີ ປະເທດຝຣັ່ງ.
Answer: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。
Explanation: The Lao sentence is correctly converted into Japanese because the converted sentence holds the message that Italy defeated Portugal 31–5 in Pool C of the 2007 Rugby World Cup at the Parc des Princes in Paris, France. Also, translated sentence preserves the numbers as it is.
Part 3. Exercise
ການຖະແຫຼງການຂອງ ນາສຣາລາ ຢືນຢັນວ່າກອງທະຫານໄດ້ມີສ່ວນຮ່ວມໃນສົງຄາມຊີເຣຍໂດຍກົງ ແລະສັນຍາວ່າພວກເຂົາຈະປົກປ້ອງຊາຍແດນ ເລບານອນ ຈາກການຄວບຄຸມຂອງກະບົດ.
Answer: | ハッサン・ナスララのスピーチではヒズボラがシリアでの内戦に直接的に関与していることを認め、レバノン国境を反乱勢力の支配下から守ることを約束した。 | NIv2 | task1125_alt_lo_ja_translation | fs_opt |
instruction:
In this task, you have to identify the named entities (NER) which are the ingredients required given its directions. Named entities are the names of the items without their quantity.
question:
Incorporate all ingredients in a mixing bowl and beat on medium speed for 4 or 5 minutes., Place tart shells on cookie sheet., Approx., 14 to 16., Spoon mixture into shells., About 3/4 full., Set oven at 400AF ., Cook for 15 min or until shell edges are brown., Remove and Enjoy when cool enough.
answer:
eggs, brown sugar, butter, vanilla, salt
question:
Preheat oven to 400 degrees F (200 degrees C)., Place the beets, apples, and fennel in a large roasting pan. In a small bowl, mix together the honey Dijon salad dressing, apple cider vinegar, olive oil, salt, and pepper. Pour the dressing mixture over the beets, apples, and fennel and mix well., Roast in the oven for 1 hour or until the beets are tender.
answer:
beets, apples, fennel, honey, apple cider vinegar, olive oil, salt, ground black pepper
question:
Simmer cherry juice in a saucepan over medium-high heat, stirring frequently, until the juice is reduced to about 1/2 cup in volume, about 20 to 25 minutes. Remove from heat and pour into a bowl to cool to room temperature., Pour reduced cherry juice, red wine vinegar, and white vinegar together in a blender; add mustard, chile-garlic sauce, salt, and pepper. Blend for 30 seconds. Add a drop of grapeseed oil and blend another 30 seconds. Pour remaining oil into the blender; blend for 2 minutes.
answer:
| cherry juice, red wine vinegar, white vinegar, mustard, chile-garlic sauce, salt, grapeseed oil
| NIv2 | task571_recipe_nlg_ner_generation | fs_opt |
Given the task definition and input, reply with output. In this task, you are given a text of article and corresponding title of an article. Your task is to generate label "yes" if headline (title) is right for article, otherwise generate "no".
Article: an emergency summit of south american presidents got underway monday in the chilean capital to consider deadly unrest in bolivia that president evo morales called an attempted `` coup '' against him . Title: south american leaders hold summit on bolivia unrest
| yes | NIv2 | task289_gigaword_summarization | zs_opt |
Teacher:In this task, you will be presented with a question having multiple possible answers in Japanese language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Teacher: Now, understand the problem? Solve this instance: Question: りんごの木ではなく、マンザナの木という言葉を聞くことがありますが、どこの国のことでしょうか？
Options: A ワシントン州 B 聖書 C オハイオ州 D モントリオール E スペイン
Student: | E | NIv2 | task1145_xcsr_jap_commonsense_mc_classification | zs_opt |
In this task, you are given a short passage that conveys stereotype or anti-stereotype about a specific target. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. You are expected to classify the passage into four types of stereotype or anti-stereotype: gender, profession, race, and religion.
Let me give you an example: Passage: Many people live in Ethiopia. The people are very thin and good at distance running.
The answer to this example can be: Race
Here is why: The second sentence "The people are very thin and good at distance running." is a racial stereotype of the Ethiopian people. It represents a standardized mental picture of the Ethiopian people.
OK. solve this:
Passage: Did you know that a mathematician lives on Sally's street? She wears the cutest dresses and likes to go out dancing.
Answer: | Profession | NIv2 | task280_stereoset_classification_stereotype_type | fs_opt |
Q: 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.
One cytoplasmic target which reflects the functional state of the plastids is protein kinase C .
A: | protein kinase C | NIv2 | task1481_gene_extraction_bc2gm_dataset | zs_opt |
Detailed Instructions: 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'.
Problem:Ook chemieaandeel Solvay steeg -- met 3,30 procent -- na fusienieuws .
Solution: | Solvay: B-ORG | NIv2 | task1544_conll2002_named_entity_recognition_answer_generation | zs_opt |
Detailed Instructions: In this task, you are given a sentence from the research paper and your task is to classify the given sentence into the following categories: Background (Why is this problem important? What relevant works have been created before? What is still missing in the previous works? What are the high-level research questions? How might this help other research or researchers?), Purpose (What specific things do the researchers want to do? What specific knowledge do the researchers want to gain? What specific hypothesis do the researchers want to test?), Method (How did the researchers do the work or find what they sought? What are the procedures and steps of the research?), or Finding (What did the researchers find out? Did the proposed methods work? Did the thing behave as the researchers expected?).
Q: was submitted to the Animal and Plant Quarantine Agency for diagnosis.
A: | background | NIv2 | task1163_coda19_section_classification | zs_opt |
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 '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, 'AUX': An auxiliary is a function word that accompanies the lexical verb of a verb phrase and expresses grammatical distinctions not carried by the lexical verb, such as person, number, tense, mood, aspect, voice or evidentiality, 'CCONJ': A coordinating conjunction is a word that links words or larger constituents without syntactically subordinating one to the other and expresses a semantic relationship between them, 'DET': Determiners are words that modify nouns or noun phrases and express the reference of the noun phrase in context, 'INTJ': An interjection is a word that is used most often as an exclamation or part of an exclamation, '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, 'PART': 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, 'PUNCT': Punctuation marks are non-alphabetical characters and character groups used in many languages to delimit linguistic units in printed text, 'SCONJ': A subordinating conjunction is a conjunction that links constructions by making one of them a constituent of the other. The subordinating conjunction typically marks the incorporated constituent which has the status of a (subordinate) clause, 'SYM': A symbol is a word-like entity that differs from ordinary words by form, function or both, '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.
One example is below.
Q: Sentence: An editorial in the church - owned Deseret Morning News in Salt Lake City earlier this year acknowledged that " the state 's history , a {{ conservative }} belief in free choice , and an unwillingness to stir up a hornet 's nest in the national media have likely all contributed to the kid - glove approach lawmakers and law - enforcement officers have taken when dealing with polygamous communities . "
Word: conservative
A: ADJ
Rationale: "conservative" is an Adjective (ADJ) since it adds to the description of the Noun (NOUN) "belief".
Q: Sentence: The Gu'ud family {{ even }} accepted to be offered the seat of Al - Anbar governor some months back .
Word: even
A: | ADV | NIv2 | task583_udeps_eng_coarse_pos_tagging | fs_opt |
You will be given a sentence that describes a restaurant. You will also be given a few categories of information regarding that sentence. Your task is to fill each of the categories with the appropriate information from the sentenece.
Sentence: xname is a moderately priced child friendly fast food restaurant near xnear. ; Categories: familyFriendly, cuisine, price | familyFriendly[yes], cuisine[Fast Food], price[moderate] | NIv2 | task1597_nyc_slot_filling | zs_opt |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in English. Your job is to translate the English sentence into Arabic.
(Applause) However there is a political battle in our country.
Solution: (تصفيق) ومع ذلك هناك معارك سياسية في بلدنا.
Why? The English sentence is correctly translated into Arabic, because the meaning is preserved.
New input: What does that even mean?
Solution: | ما الذي يعنيه ذلك ؟ | NIv2 | task1220_ted_translation_en_ar | fs_opt |
Given the task definition, example input & output, solve the new input case.
Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
Example: Who did the Han Chinese want to help the Khitan no I mean the Mongols fight?
Output: Who did the Han Chinese want to help the Mongols fight?
The input initially means Khitan and then changes to Mongols, hence this is correct.
New input case for you: What wasn't Chief Hendrick er uh William Johnson's role in British military?
Output: | What wasn't William Johnson's role in British military? | NIv2 | task1195_disflqa_disfluent_to_fluent_conversion | fs_opt |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence or phrase in English. You must translate it to Xhosa in a way that is equivalent in terms of meaning and grammatically correct.
A haul
Output: | Utsalo | NIv2 | task872_opus_xhosanavy_translation_eng_xhosa | zs_opt |
Definition: A text is given in English. Translate it from the English language to the Bengali language. The translation must not omit or add information to the original sentence.
Input: But Sardar Saheb was also a proponent of cleanliness and public health.
Output: | কিন্তু সর্দার সাহেব পরিচ্ছন্নতা এবং জন-আরোগ্য নিয়ে অত্যন্ত আগ্রহী ছিলেন। | NIv2 | task996_pib_translation_english_bengali | zs_opt |
Teacher: In this task, you are given an ambiguous question/query (which can be answered in more than one way) and a clarification statement to understand the query more precisely. Your task to classify that if the given clarification accurately clarifies the given query or not and based on that provide 'Yes' or 'No'.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Query: Tell me about defender
Clarification: are you referring to the arcade game called defender
Solution: Yes
Reason: The given clarification properly clarify the query. Hence, the output is Yes.
Now, solve this instance: Query: What are specific dangers of asbestos?
Clarification: do you want stores selling elliptical trainer
Student: | No | NIv2 | task227_clariq_classification | fs_opt |
Instructions: You will be given a text in Russian language which contain different emotion labels from the list - ['joy', ' sadness', 'surprise', 'fear', 'anger']. You need to output the incorrect emotion label, which is irrelevant to the input text. Your answer (i) should contain only one emotion label (ii) should be unambiguous.
Input: Вот смеху было бы : мальчик сбил боевой вертолет камушком !
Output: | sadness | NIv2 | task1663_cedr_ru_incorrect_classification | zs_opt |
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).
Example input: Paragraph: Many of the worlds people live with water scarcity, and that percentage will increase as populations increase and climate changes.
Question: John's town used to have lots of water, back when there were only a few hundred people. However, now that the town holds several thousand people, the water availability is
Choices: A)scarce
B)plentiful
Example output: scarce
Example explanation: Based on the information given in the paragraph, population growth will make water more scarce, so that is the correct answer.
Q: Paragraph: Objects with greater mass have greater inertia.
Question: When something is very lightweight what does it need to move?
Choices: A)more inertia
B)less inertia
A: | less inertia | NIv2 | task1731_quartz_question_answering | fs_opt |
In this task if the pronoun is male or gender-neutral you are to replace it with a female pronoun. If there are no pronouns add a female-gendered word to the sentence.
Q: Yes, I know about zohre esmaeli as he is my brother.
A: | Yes, I know about zohre esmaeli as I am his brother. | NIv2 | task1670_md_gender_bias_text_modification | zs_opt |
Given the task definition and input, reply with output. You are provided with an "Event" and it's "Intent" related to PersonX. Determine the sentiment value of the given input as either "Positive", "Negative", and "Unknown".
Event:PersonX has never heard before. Intent: 1) to be precise
| Unknown | NIv2 | task923_event2mind_classifier | zs_opt |
Teacher:You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Spanish.
Teacher: Now, understand the problem? Solve this instance: حسنا ، قام رجل يُدْعى "" هوسدورف "" في عام 1919 بعرض عدد كان مجرد مزحة الرياضية. ولقد وجدت أن هذا العدد كان يمثّل مقياسا جيّدا للخشونة.
Student: | Bien, en 1919 un hombre llamado Hausdorff presentó un número que era un mero chiste matemático. Y yo descubrí que ese número representaba la medida de la fracturación. | NIv2 | task1232_ted_translation_ar_es | zs_opt |
Q: In this task, you are given a sentence in the Japanese language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
トラブゾン聖マリアカトリック教会に所属するカトリックの司祭で61歳のアンドレア・サントレ氏が、日曜日にトルコ北部のトラブゾン県で祈祷中に銃撃され死亡した。
A: | Catholic priest Andrea Santore, 61, who was based at the Trabzon Santa Maria Catholic Church was shot dead during prayer in the northern Turkish province of Trabzon on Sunday. | NIv2 | task436_alt_ja_en_translation | zs_opt |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Japanese.
Problem:I to było jego ulubione dzieło.
Solution: | これはゲーリングの一番大切な絵となりました | NIv2 | task1257_ted_translation_pl_ja | zs_opt |
Detailed Instructions: Given a sentence in the Japanese and Thai language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Q: Japanese: EST午後7時15分頃、警察が銀行の後方ドアを爆破した。
Thai: เด็กชายวัย11 ปีเสียชีวิตหลังจากถูกยิงในลานจอดรถของผับ Fir Tree ในเขต Croxteth เมืองลิเวอร์พูล หลังจากเวลา 19:30น ตามเวลาฤดูร้อนของสหราชอาณาจักร เล็กน้อย
A: | No | NIv2 | task1129_alt_ja_th_answer_generation | zs_opt |
This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words.
after the match against tyloo , everyone was very excited , you know .
after the game against tyloo , we were all incredibly happy .
marsh heard her footsteps as she moved toward joshua .
marsh heard footsteps , apparently going to joshua .
yes , but distantly distantly yes , distance you 've transformed your passion into a hobby you shouldnt treat your talent that way !
| yes , but remotely true yes , you 've turned your passion into a hobby .
| NIv2 | task177_para-nmt_paraphrasing | fs_opt |
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 will be affected as mentioned in the Tail or not. These effects are social actions that may occur after the Head event. 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.
Head: PersonX affords every ___<sep>Tail: to buy new things | No | NIv2 | task1200_atomic_classification_xeffect | zs_opt |
You are given a sentence in English. Your job is to translate the English sentence into Portugese.
Ex Input:
And I thank you for having me here tonight.
Ex Output:
Obrigado pela vossa atenção.
Ex Input:
Green School is going into its third year with 160 children.
Ex Output:
A escola ecológica vai entrar no seu terceiro ano com 160 crianças.
Ex Input:
So I want to talk about that as an opportunity that we really have failed to engage with very well in this country and, in fact, worldwide.
Ex Output:
| Por isso quero falar de uma oportunidade que realmente temos perdido neste país e, de facto, em todo o mundo.
| NIv2 | task1094_ted_translation_en_pt | fs_opt |
You will be given a definition of a task first, then some input of the task.
In this task, you're given the beginning and the ending of a three-part story. Your job is to complete the short story by writing a middle sentence that seamlessly connects the first and last sentence. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the middle sentence, and use names (e.g. Jack, Barbara,...) instead of pronouns (e.g. he / she) wherever possible.
Beginning: Whit decided to take a nap. Ending: Because she overslept, she was late for work.
Output: | She woke up and saw she was late. | NIv2 | task067_abductivenli_answer_generation | zs_opt |
Detailed Instructions: In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural language interpretation. Define body (contains a collection of statements that define what the this logical operator does) of each logical operator between '{}' parenthesis. Here are the definitions of logical operators that you can use while generating command:
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 the first argument is greater/less than the second argument.
12. diff: returns the difference between two arguments.
13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument.
14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument.
15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument.
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 the third argument.
18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument.
19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument.
20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument.
21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument.
22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.
See one example below:
Problem: select the row whose attendance record of all rows is 3rd maximum. the competition record of this row is danish superliga 2005-06.
Solution: eq { hop { nth_argmax { all_rows ; attendance ; 3 } ; competition } ; danish superliga 2005 - 06 }
Explanation: Here, the generated command using logical operators correctly selects third maximum from given table rows which is mentioned in natural language interpretation.
Problem: select the rows whose method record fuzzily matches to draw . there is only one such row in the table . the res record of this unqiue row is draw .
Solution: | and { only { filter_eq { all_rows ; method ; draw } } ; eq { hop { filter_eq { all_rows ; method ; draw } ; res } ; draw } } | NIv2 | task210_logic2text_structured_text_generation | fs_opt |
Definition: In this task, you will be presented with an English sentence, and you have to translate it into Arabic.
Input: We won't see her now for the whole day.
Output: | لن نراها الآن لكل اليوم. | NIv2 | task651_opus100_en_ar_translation | zs_opt |
Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Hebrew.
Input: بنابراین من آرزو می کنم که ارتباط سازمان های مختلف مانند "" وان "" کمپین و "" اسلو فوود "" ، که همین حالا به نظر نمی رسد که زیاد معمول باشند ، ما می توانیم در مورد راه حل های جامع ، بلند مدت و سیستمیک صحبت کنیم که بهبود می بخشد غذا را برای هر کسی.
Output: | אז אני מקווה שעל ידי חיבור ארגונים מאד שונים כמו קמפיין ONE ו Slow Food, שכרגע לא נראה שיש ביניהם הרבה מן המשותף, אפשר לדבר על פתרונות הוליסטיים, מערכתיים לטווח ארוך שישפרו את המזון עבור כולם. | NIv2 | task1269_ted_translation_fa_he | zs_opt |
Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact.
Q: Tagalog sentence: Araling Pinoy: Ang Malalaking Bituin sa Kalangitan
A: | Araling Pinoy: The Happiest Boy in the World | NIv2 | task451_opus_paracrawl_tl_en_translation | zs_opt |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Arabic.
Input: Consider Input: Imprimín máis de 3000 postais coa miña dirección, xusto coma esta.
Output: طبعت ما يصل إلى 3000 بطاقة بريدية ذاتية العنونة ، تماما مثل هذه.
Input: Consider Input: Porque non todo o mundo pode beneficiarse dunha misión.
Output: بسبب أنه لن يستفيد كل شخص من عمل البعثة.
Input: Consider Input: Agora, o mobiliario familiar ameaza, o chan encóstase e os pomos só ceden se pelexas coas dúas mans.
| Output: الآن ، أثاث مألوف يلوح في الأفق ، إمالة طوابق ، ومقابض أبواب تذعن فقط عند صرعها بكلتا اليدين.
| NIv2 | task1241_ted_translation_gl_ar | fs_opt |
Given the task definition and input, reply with output. 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.
Comment: Many Asian women did indeed provide “comfort” services to the Japanese Imperial Forces during World War II, but I do not believe they did it at the point of a gun nor was it sexual slavery. Throughout history, military forces have had no problem finding “comfort women” regardless of the country in which they operated and they were able to find them without kidnapping, coercion or threats of any kind. Wars create horrible conditions which cause people to resort to often unthinkable means to survive. For many women, it was the use of their bodies, and there usually was more supply than demand. I personally witness this during the Korean War and during two years in Vietnam. Some members of the Imperial Japanese forces no doubt forced women to have sex, which, of course, is rape, but I believe the “comfort women” who served the Imperial Japanese forces in brothels that sprung up and operated near Japanese bases did so voluntarily for pay.
| Sexual-explicit | NIv2 | task323_jigsaw_classification_sexually_explicit | zs_opt |
Teacher:You are given a sentence in Polish. Your job is to translate the Polish sentence into Spanish.
Teacher: Now, understand the problem? Solve this instance: Nienawidzimy konieczności stracenia pieniędzy.
Student: | Realmente odiamos cuando tenemos que perder algo de dinero. | NIv2 | task1258_ted_translation_pl_es | zs_opt |
Q: In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
Spongiform degeneration is characterized by vacuolation in nervous tissue accompanied by neuronal death and gliosis. Although spongiform degeneration is a hallmark of prion diseases, this pathology is also present in the brains of patients suffering from Alzheimer's disease, diffuse Lewy body disease, human immunodeficiency virus (HIV) infection, and Canavan's spongiform leukodystrophy. The shared outcome of spongiform degeneration in these diverse diseases suggests that common cellular mechanisms must underlie the processes of spongiform change and neurodegeneration in the central nervous system. Immunohistochemical analysis of brain tissues reveals increased ubiquitin immunoreactivity in and around areas of spongiform change, suggesting the involvement of ubiquitin-proteasome system dysfunction in the pathogenesis of spongiform neurodegeneration. The link between aberrant ubiquitination and spongiform neurodegeneration has been strengthened by the discovery that a null mutation in the E3 ubiquitin-protein ligase mahogunin ring finger-1 (Mgrn1) causes an autosomal recessively inherited form of spongiform neurodegeneration in animals. Recent studies have begun to suggest that abnormal ubiquitination may alter intracellular signaling and cell functions via proteasome-dependent and proteasome-independent mechanisms, leading to spongiform degeneration and neuronal cell death. Further elucidation of the pathogenic pathways involved in spongiform neurodegeneration should facilitate the development of novel rational therapies for treating prion diseases, HIV infection, and other spongiform degenerative disorders. transmissible spongiform encephalopathy (TSE); retroviral infection; mahogunin ring finger-1 (Mgrn1); oxidative stress; autophagy; endocytic trafficking NIH Public Access
A: | The ubiquitin-proteasome system in spongiform degenerative disorders | NIv2 | task1161_coda19_title_generation | zs_opt |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Arabic.
Problem:dovevo metterle in un contesto.
Solution: | يجب أن أجعل لعملي مغزىً. | NIv2 | task1250_ted_translation_it_ar | zs_opt |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the letters E, C, and N respectively.
Example Input: Sentence 1: A man is standing in front of a brick storefront wearing a black jacket. Sentence 2: A boy is waiting for the bus.
Example Output: C
Example Input: Sentence 1: People are walking in a park with manicured hedges along the walkway. Sentence 2: The people are trying to find a way out of the hedge maze.
Example Output: N
Example Input: Sentence 1: A collage of stop-action surfing pictures. Sentence 2: they were married
Example Output: | N
| NIv2 | task190_snli_classification | fs_opt |
Detailed Instructions: You are provided with an "Event" and it's "Intent" related to PersonX. Determine the sentiment value of the given input as either "Positive", "Negative", and "Unknown".
Q: Event:PersonX loves PersonY's mother. Intent: 1) to fight 2) a challenge
A: | Positive | NIv2 | task923_event2mind_classifier | zs_opt |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.
Q: Sono io lì in mezzo, quella che fa le smorfie.
A: Sou eu, no meio, a que faz a careta.
****
Q: Vi presento Wael.
A: Este é o Wael.
****
Q: Ma in questo caso siccome l'interno è libero di oscillare in relazione alla sfera, essa può stare in piedi su un punto.
A: | Mas neste caso, porque o interior balança livremente em relação à esfera, fica equilibrado num ponto.
****
| NIv2 | task1255_ted_translation_it_pt | fs_opt |
In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'.
Dialogue 1: 'english expressionlessface what 'what expressionlessface' whoa you're really stupid'. Dialogue 2: 'thats a good way to motivate thank you you're welcome you just made me more depressed'. | no | NIv2 | task518_emo_different_dialogue_emotions | zs_opt |
You will be given a definition of a task first, then some input of the task.
This task is about identifying the subject of a given sentence. The subject of a sentence is the person, place, or thing that is performing the action of the sentence. The subject represents what or whom the sentence is about. Each sentence in this task is guaranteed to contain a single subject. The input is a sentence and the output is the identified subject of that sentence.
Los Lagos has 0.6% of its population without power.
Output: | Los Lagos | NIv2 | task1411_dart_subject_identification | zs_opt |
Definition: You are given a review about a place. You need to provide a rating from "1 star" to "5 stars" for this place.
Input: Woke up this morning....Ron's Birthday today so I suggested we go out to breakfast around 10am. We were going to go to one of our old standbys and then I remembered we wanted to try Bacon sometime. \n\nWe got there and all of the sliding door/windows were open and the misters going. aaahhhh Scottsdale in the early summer. We were seated right away. Took a bit of time for our waiter to notice we were there, but he was very attentive once he came over to our table. \n\nI ordered the breakfast sandwich (cant remember the unusual name) that was scrambled eggs on and English muffin with Canadian bacon and Gruyere cheese. HEAVEN!!! if you love stinky cheese like I do. The side of potato's were done to perfection with fresh herbs sprinkled on top. There was also a side of beans that I though were unimaginative. \n\nOverall the food was yummy and the atmosphere and service very good. A definite new one on our list of breakfast places in Old Town.
Output: | 4 stars | NIv2 | task1292_yelp_review_full_text_categorization | zs_opt |
Instructions: Given a statement, generate a question such that the answer is contained in that statement.
Input: Temperature refers to variable conditions day to day
Output: | What refers to variable conditions day to day? | NIv2 | task1580_eqasc-perturbed_question_generation | zs_opt |
A text is given in English. Translate it from the English language to the Tamil language. The translation must not omit or add information to the original sentence.
Q: My Government is making efforts with complete dedication to provide a safe and peaceful environment to the residents of Jammu and Kashmir.
A: | ஜம்மு காஷ்மீரில் வசிக்கும் மக்களுக்கு பாதுகாப்பு, அமைதியுடன் கூடிய சூழல் உருவாக முயற்சிகள் மேற்கொள்ளப்பட்டு வருகின்றன. | NIv2 | task991_pib_translation_english_tamil | zs_opt |
Given a sentence, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
[Q]: Verify if the sentiment of the following document towards the entity Juan Enriquez is Positive . With the likes of Elon Musk and NASA working toward getting humans to colonize Mars he said gene editing will play a vital role in this.
[A]: no
[Q]: Verify if the sentiment of the following document towards the entity Spotify is Negative . Spotify declined to comment.
[A]: yes
[Q]: Verify if the sentiment of the following document towards the entity Darren Drake is Positive . Last Tuesday Drake was on a CitiBike listening to an audio book when he was hit by 29-year-old Sayfullo Saipov who drove a rented Home Depot truck through the lower Manhattan bike lane.
[A]: | yes
| NIv2 | task422_persent_sentence_sentiment_verification | fs_opt |
In this task, you are given a sentence in the Gujarati language and a corresponding English translation of the Gujarati sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
[EX Q]: Gujarati: એક માણસ, એક સ્ત્રી અને એક બાળક નાના બિલ્ડિંગની સામે એક મોટરબાઈકને એક સાથે સવારી કરે છે.
English: A white and gray cat with a striped tail crouches on a park bench under some bushes.
[EX A]: No
[EX Q]: Gujarati: વાદળી અને નારંગી ટાઇલ સાથેનું એક નાનું બાથરૂમ.
English: An older style steam engine is pulling a short line of passenger cars.
[EX A]: No
[EX Q]: Gujarati: એક વિમાન મુસાફરો સાથે લોડ થવા માટે તૈયાર થઈ રહ્યું છે
English: an airplane is getting ready to be loaded with passengers
[EX A]: | Yes
| NIv2 | task440_eng_guj_parallel_corpus_gu-en_classification | fs_opt |
In this task you are given a tweet that contains some form of irony. You must classify the type of irony the tweet has. Label the tweets ("polarity","situational","other") based on the irony they have. Situational irony happens when a situation fails to meet some expectations, Label these instances as "situational". polarity irony happens when irony is achieved by inverting the intended sentence, Label these instances as "polarity". There are other kinds of ironies that are neither polarity nor situational, Label these instances as "other". Note that URLs in the text have been replaced with [Link].
Example: crushes are great until you realize they'll never be interested in you.| :p
Example solution: situational
Example explanation: Instance describes a situations that fail to meet expectations.
Problem: @drapermark37 @susanbnj We must be tolerant and embrace the peaceful Islamic faith, Muslims are our peaceful brothers
| Solution: polarity | NIv2 | task387_semeval_2018_task3_irony_classification | fs_opt |
Given the task definition and input, reply with output. This task is about translating a given French language sentence to English.
Je pense que le monde entier a principalement été élevé à ne pas être une fille.
| I think the whole world has essentially been brought up not to be a girl. | NIv2 | task1690_qed_amara_translation | zs_opt |
In this task, you are given an input list A. If the count of numbers is more than that of alphabets in the list, answer 'Numbers Win'. If the count of alphabets is more than that of numbers in the list, answer 'Alphabets Win'. If the count of numbers is same as that of alphabets in the list, answer 'Numbers and Alphabets are Tied'.
One example: ['238', 'h', '92', 'U', '2799']
Solution is here: Numbers Win
Explanation: Here, the count of alphabets is 2, and that of numbers is 3. Since there are more numbers than alphabets, hence the answer is 'Numbers Win'.
Now, solve this: ['2797', '4359', '3277', '7797', 'P', '7485', '2507', 'F', '9119', '5931', 'D', 'x', 'S', '8813', 'v']
Solution: | Numbers Win | NIv2 | task523_find_if_numbers_or_alphabets_are_more_in_list | fs_opt |
Given a sentence in the Lao, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
--------
Question: ສຳນັກກຂ່າວ ຣູເຕີ້ ປະທ້ວງວ່າ ຂ່າວກ່ຽວກັບການໂຈມຕີເຮັດໃຫ້ລາຄານ້ຳມັນດິບສູງຂຶ້ນໃນທົ່ວໂລກ.
Answer: ロイター通信は、「襲撃のニュースは世界中の原油価格を釣り上げた」と報告しました。
Question: ຫລັກຖານທີ່ລາຍງານ ໄດ້ສະແດງໃຫ້ເຫັນຄຸນນະພາບ ແລະ ຄວາມຊັບຊ້ອນຂອງອາວຸດ ເຊິ່ງວ່າພວກມັນອາດຈະໄດ້ຮັບການຜະລິດຢູ່ໃນອີລານ ແຕ່ລັມສະເຟວ ບໍ່ສາມາດ ຫລື ບໍ່ຕ້ອງການອະທິບາຍອາວຸດດັ່ງກ່າວເພີ່ມເຕີມ.
Answer: 証拠はその武器の品質と洗練度がそれらがイランで製造されたものであろうことを示唆すると報告したが、ラムズフェルドはそれ以上武器について説明出来なかった、あるいは、したくなかった。
Question: ການຖະແຫຼງການຂອງ ນາສຣາລາ ຢືນຢັນວ່າກອງທະຫານໄດ້ມີສ່ວນຮ່ວມໃນສົງຄາມຊີເຣຍໂດຍກົງ ແລະສັນຍາວ່າພວກເຂົາຈະປົກປ້ອງຊາຍແດນ ເລບານອນ ຈາກການຄວບຄຸມຂອງກະບົດ.
Answer: | ハッサン・ナスララのスピーチではヒズボラがシリアでの内戦に直接的に関与していることを認め、レバノン国境を反乱勢力の支配下から守ることを約束した。
| NIv2 | task1125_alt_lo_ja_translation | fs_opt |
Teacher:You are given a sentence in Polish. Your job is to translate the Polish sentence into Spanish.
Teacher: Now, understand the problem? Solve this instance: Stawiając pytanie trochę bardziej serio, jakie są minimalne wymogi, żeby, tak jak wy, samorzutnie się zsynchronizować?
Student: | Planteado la pregunta un poco más seriamente, preguntémonos cuáles son los requerimientos mínimos para lograr lo que acaban de hacer, para la sincronización espontánea. | NIv2 | task1258_ted_translation_pl_es | zs_opt |
Q: In this task, you are given a multiple-choice question and you have to pick the correct option. Answer with option indexes (i.e., "A", "B", "C", and "D").
Playing music at a certain frequency may (A) shatter a glass (B) send sound outside (C) hurt your teeth (D) crack a mirror
A: | A | NIv2 | task1286_openbookqa_question_answering | zs_opt |
Detailed Instructions: Given a paragraph from a Wikipedia article about some topic, and a question related to the topic, determine whether the question is answerable from the paragraph. If the question is answerable, answer "True", otherwise, answer "False".
Problem:Imperial College TVICTV (formerly STOIC (Student Television of Imperial College)) is Imperial College Union's TV station, founded in 1969 and operated from a small TV studio in the Electrical Engineering block. The department had bought an early AMPEX Type A 1-inch videotape recorder and this was used to produce an occasional short news programme which was then played to students by simply moving the VTR and a monitor into a common room. A cable link to the Southside halls of residence was laid in a tunnel under Exhibition Road in 1972. Besides the news, early productions included a film of the Queen opening what was then called College Block and interview programmes with DJ Mike Raven, Richard O'Brian and Monty Python producer Ian MacNaughton. The society was renamed to ICTV for the start of the 2014/15 academic year. Question: Which of the following is not a politician: Rajiv Gandhi, Huw Thomas, or Julius Vogel?
Solution: | False | NIv2 | task1640_aqa1.0_answerable_unanswerable_question_classification | zs_opt |
TASK DEFINITION: In this task, you are given a short passage that conveys stereotype or anti-stereotype about a specific target. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. You are expected to classify the passage into four types of stereotype or anti-stereotype: gender, profession, race, and religion.
PROBLEM: Passage: The commander was wearing black boots. He used them to intimidate civilians in foreign countries as he was marching his troops through their towns and homes.
SOLUTION: Profession
PROBLEM: Passage: I have been to Vietnam last year. All of the people are short and dirty.
SOLUTION: Race
PROBLEM: Passage: Did you know that a mathematician lives on Sally's street? She wears the cutest dresses and likes to go out dancing.
SOLUTION: | Profession
| NIv2 | task280_stereoset_classification_stereotype_type | fs_opt |
instruction:
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 '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, 'AUX': An auxiliary is a function word that accompanies the lexical verb of a verb phrase and expresses grammatical distinctions not carried by the lexical verb, such as person, number, tense, mood, aspect, voice or evidentiality, 'CCONJ': A coordinating conjunction is a word that links words or larger constituents without syntactically subordinating one to the other and expresses a semantic relationship between them, 'DET': Determiners are words that modify nouns or noun phrases and express the reference of the noun phrase in context, 'INTJ': An interjection is a word that is used most often as an exclamation or part of an exclamation, '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, 'PART': 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, 'PUNCT': Punctuation marks are non-alphabetical characters and character groups used in many languages to delimit linguistic units in printed text, 'SCONJ': A subordinating conjunction is a conjunction that links constructions by making one of them a constituent of the other. The subordinating conjunction typically marks the incorporated constituent which has the status of a (subordinate) clause, 'SYM': A symbol is a word-like entity that differs from ordinary words by form, function or both, '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.
question:
Sentence: The people who carry out these underground arms {{ / }} drugs / sex trafficking deals are trauma based mind controlled slaves .
Word: /
answer:
SYM
question:
Sentence: {{ Recently }} Charles Miller and David Dewhurst sent you an invitation to a reception which they are hosting on Wed. 6/14 at 5:00 PM to be held at the Houston Petroleum Club .
Word: Recently
answer:
ADV
question:
Sentence: The Gu'ud family {{ even }} accepted to be offered the seat of Al - Anbar governor some months back .
Word: even
answer:
| ADV
| NIv2 | task583_udeps_eng_coarse_pos_tagging | fs_opt |
Part 1. Definition
You are given a sentence in Polish. Your job is to translate the Polish sentence into Japanese.
Part 2. Example
Wszystko jest robione pomiędzy żebrami.
Answer: 全て肋骨の間から行うのです
Explanation: The Polish sentence is correctly translated into Japanese, because the meaning is preserved.
Part 3. Exercise
Ten kamień pochodzi z Gona w Etopii. Identycznych używali nasi afrykańscy przodkowie dwa i pół miliona lat temu.
Answer: | カンジの石はエチオピアのゴナ産です 250万年前アフリカの祖先が使った石と同じです | NIv2 | task1257_ted_translation_pl_ja | fs_opt |
Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast', 'biology', 'people', 'influence', 'baseball', 'spaceflight', 'media_common', 'cvg', 'opera', 'olympics', 'chemistry', 'visual_art', 'conferences', 'sports', 'language', 'travel', 'location', 'award', 'dining', 'martial_arts', 'comic_strips', 'computer', 'user', 'tennis', 'music', 'organization', 'food', 'event', 'transportation', 'fictional_universe', 'measurement_unit', 'meteorology', 'distilled_spirits', 'symbols', 'architecture', 'freebase', 'internet', 'fashion', 'boats', 'cricket', 'film', 'medicine', 'finance', 'comic_books', 'celebrities', 'soccer', 'games', 'time', 'geography', 'interests', 'common', 'base', 'business', 'periodicals', 'royalty', 'education', 'type', 'religion', 'automotive', 'exhibitions'.
Let me give you an example: What country has borders with Libya, Sudan and Israel?
The answer to this example can be: location
Here is why: This question is about a physical place, so is classified as 'location'
OK. solve this:
Velma Kelly and Billy Flynn are two of the leading characters in which 2002 musical?
Answer: | film | NIv2 | task900_freebase_qa_category_classification | fs_opt |
In this task you will be given a claim and a perspective. You should determine whether that perspective supports or undermines the claim. If the perspective could possibly convince someone with different view, it is supporting, otherwise it is undermining.
One example is below.
Q: claim: Music containing lyrics that glorify violent and criminal lifestyles should be banned.
perspective: hip hop artists have a right to free speech
A: undermine
Rationale: Musicians having a right to free speech clearly undermines the claim for putting constraints on their lyrics.
Q: claim: Animal testing should be banned.
perspective: When research is done on animals, it causes them severe harm.
A: | support | NIv2 | task738_perspectrum_classification | fs_opt |
Detailed Instructions: In this task, you are given a dialogue from a conversation between an agent and a customer. Your task is to determine the speaker of the dialogue. Answer with "agent" or "customer".
Q: I want to change my recent reservation due to some health issue.
A: | customer | NIv2 | task575_air_dialogue_classification | zs_opt |
In this task, you are given a paragraph, a question, and a candidate incorrect answer to the question. Your goal is to judge whether the provided answer is a valid incorrect answer to a given question. An incorrect answer should not truthfully answer the given question. A good incorrect answer should be closely related to the content of the paragraph and/or the question so that the readers are forced to read the whole paragraph to infer its [in]correctness. Additionally, an incorrect answer should be of the same semantic type as the given correct answer (e.g., both can be names of locations). If you think the given incorrect answer is good(and incorrect), indicate it by responding "Yes". Otherwise, respond "No". There are only two types of responses possible:"Yes" and "No".
Paragraph- Sent 1: Juzo Murasaki arrives at a work construction area to take on his new job as a construction worker .
Sent 2: To his quiet dismay , his supervising boss turns out to be Toru Akai , who with his gang had made Juzo 's middle school life a living hell .
Sent 3: Akai , however , does n't recognize Juzo .
Sent 4: Juzo 's more disconcerted when he discovers that Akai lives with his wife , Nozomi Akai and their toddler son above Juzo 's new apartment .
Sent 5: As Juzo emotionally struggles to handle these unexpected developments , a mysterious and seemingly malicious hooded figure appears .
Sent 6: It calls itself Number 13 .
Sent 7: As Juzo attempts to control increasing number of flashbacks and a spiral fall into psychological darkness , Akai constantly picks on Juzo and other work colleagues including Seki Hajime , a former middle school student who becomes Juzo 's casual friend in spite of Juzo 's anti-social tendencies , at work .
Sent 8: Meanwhile Akai 's wife , Nozomi , attempts to make friends with Juzo and entrusting the care of her toddler son to Juzo .
Sent 9: She proudly shows Juzo her husband 's school photos .
Sent 10: In one class photo , Juzo 's space is marked with an X to show he was absent .
Sent 11: Juzo suffers a severe flashback to explain his absence that day : in their school 's science room , Akai and his friends have thrown acid at Juzo 's face .
Sent 12: Seki becomes suspicious about Juzo 's increasingly odd behavior and goes to inform Arai at the work site , but Arai dismisses him without giving him a chance to speak .
Sent 13: During this incident , Seki does n't realize he 's being watched by Number 13 , but as soon as he does , Number 13 kills him .
Question: What did a mysterious and seemingly malicious hooded figure calls itself?
Incorrect Answer: dark avenger. | Yes. | NIv2 | task057_multirc_classify_incorrect_answer | zs_opt |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by two, if the element is odd you should multiply by three then add one. The output should be a list of integers that is the result of applying that logic to the input list.
[7, 9, 2, 8]
Solution: [22, 28, 1, 4]
Why? The odd numbers, seven and nine, were multiplied by three and added one. The even numbers, two and eight, were divided by two. So this is a good example.
New input: [199, 84]
Solution: | [598, 42] | NIv2 | task206_collatz_conjecture | fs_opt |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a hateful post in English from online platforms. You are expected to classify the target being harassed in the post as individual or generic, i.e., single person or a group of people. Note that the URLs in the text have been replaced with [Link].
Post: @kathygriffin Which one of the two wins the prize for most hysterical woman?
Output: | Individual | NIv2 | task337_hateeval_classification_individual_en | zs_opt |
Given the task definition, example input & output, solve the new input case.
In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/existing words removed. Your sentence should be grammatically and syntactically correct. Also stick to the context of the given story. For example, if the story talks about "doctors", you can talk about "health" or "diagnosis", but don't mention "aliens". Avoid introducing any extra/irrelevant information, and use names instead of pronouns (e.g. he / she) wherever possible. Avoid simply negating the original middle, for example: "She likes cakes." is changed to "She doesn't like cakes."
Example: Beginning: Lauren finished her late night shift at the bar feeling tired. Middle: Lauren took a long hot bath when she got home. Ending: Lauren's husband was glad to see her feeling refreshed.
Output: Lauren's husband took a long hot bath when he got home.
If a person takes a bath, another person's tiredness is not reduced.
New input case for you: Beginning: The dog was playing with his bone. Middle: The dog put down his bone and started looking for his owner. Ending: The dog went inside and got a treat from his owner.
Output: | The cat put down his mouse and started looking for another. | NIv2 | task068_abductivenli_incorrect_answer_generation | fs_opt |
You are given a sentence in English. Your job is to translate the English sentence into Arabic.
It's a plant.
إنها نبتة.
And she looked at me, and she said, "" But, Aimee, that's not fair. "" (Laughter) (Applause) And the incredible thing was she really meant it.
فنظرت لي وقالت "" ولكن أيمي, هذا ليس عدل "" (ضحك) (تصفيق) والشئ العجيب أنها كانت تعني ما تقول
What does that even mean?
| ما الذي يعنيه ذلك ؟
| NIv2 | task1220_ted_translation_en_ar | fs_opt |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Input: You can use a quote to sell goods .
Output: | You can use a shop to Buy goods . | NIv2 | task413_mickey_en_sentence_perturbation_generation | zs_opt |
Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
Ex Input:
What year did the oops Shimer University is located in which Illinois city?
Ex Output:
Shimer University is located in which Illinois city?
Ex Input:
What social problems no what nationality aren't researchers Richard G. Wilkinson and Kate Pickett?
Ex Output:
What nationality aren't researchers Richard G. Wilkinson and Kate Pickett?
Ex Input:
What wasn't Chief Hendrick er uh William Johnson's role in British military?
Ex Output:
| What wasn't William Johnson's role in British military?
| NIv2 | task1195_disflqa_disfluent_to_fluent_conversion | fs_opt |
Instructions: In this task, you're given an article and an answer. Your task is to generate the fill-in-the-blank question for this answer based on the given article. The blanks are always at the end of the question, and can be filled with more than one word or phrase.
Input: Article: Foreign attacks on U. S. soil 1812 ---- During the War of 1812, British forces burned the new capital at Washington, D. C. They also attacked Baltimore and New Orleans and captured Detroit, which at the time was a remote military outpost . 1846 ---- A brief invasion by Mexican troops across the Rio Gande began the U. S. - Mexican War in 1846. But the remaining action in that conflict occurred in California, New Mexico and in Mexico. California and New Mexico belonged to Mexico at the time. 1916 ---- Mexican revolutionaries led by Pancho Villa attacked the town of Columbus, N. M., on March 9, 1916. 1941 -- Japan attacked Pearl Harbor in Hawaii on Dec. 7, 1941, killing nearly 2,400 people and forcing America into World War II. 1993 ---- Terrorists blew up a truck bomb in the basement of the World Trade Center in February 1993, killing six people and injuring more than 1,000. 2001 ---- Terrorists hijacked several planes on Sep.11, 2001. Two ploughed into New York's World Trade Center (WTC), _ the two highest buildings in the city; a third seriously damaged the Pentagon . The fourth hijacked plane crashed in Pennsylvania. Several thousand people were killed in the attacks.
Answer: destroyed the Pentagon completely
Output: | During the September 11th terrorist attacks, _ . | NIv2 | task649_race_blank_question_generation | zs_opt |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew.
Q: でもブラジルは日本と中国に売るでしょうアメリカにはトウモロコシ農家を守るための関税障壁がありますが、あちらにはありませんから
A: | אבל הם ימכרו את זה ליפן או סין במקום, מכיוון שלנו יש מיסי מגן להגנת מגדלי התירס ולהם אין. | NIv2 | task1225_ted_translation_ja_he | zs_opt |
Given the task definition and input, reply with output. In this task, you are given a post in English from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it should be labeled as non-hateful. Answer "hateful" or "Non-hateful". Note that the URLs in the text have been replaced with [Link].
Post: BJP leaders want #Rohingya refugees deported from #India due fear that they have been exploited by #Pakistan terror groups [Link] @BJP4India @ReutersIndia @ndtv @abpnewstv @RisingKashmir @TheCitizen_in @IslamRohingya @VoiceRohingya @HRWBurma @ProtectRohingya
| Non-hateful | NIv2 | task333_hateeval_classification_hate_en | zs_opt |
Teacher:You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Polish.
Teacher: Now, understand the problem? Solve this instance: E eis um novo parque na baixa de Manhattan.
Student: | A to nowy park na Dolnym Manhattanie. | NIv2 | task1281_ted_translation_pt_pl | zs_opt |
Q: Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
This movie was HORRIBLE! I don't know how anyone could give it 5 stars. This movie was the worst 2 hours of my life. I expected more out of an Adam Sandler movie. I felt like I was watching 2 movies at once. Any time someone asks me about this movie I tell them it's a waste and to rent something else.
A: | Negative | NIv2 | task493_review_polarity_classification | zs_opt |
Detailed Instructions: Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can be directly excluded without reasoning according to the context. Try to make your responses similar to the given correct answer. To this end, try to keep both the length and the style as similar as possible between the correct and the incorrect answer. To make your incorrect answers more difficult, try to incorporate words from context. To avoid being predictable or repetitive, try to add more variations and complexity.
Problem:Context: My friends in the Obama cheering section get huffy about them , while filtering from their consciousness all the dishonest ads Obama has run - the demagogic DHL ad , the insulting computer ad , the cynical Rush Limbaugh ad , the misleading Social Security ad and so on . If one candidate has sunk lower than the other at this point , I ' ve lost track . No , what disappoints me about the McCain campaign is it has no central argument .
Question: Why am I disappointed ?
Correct Answer: I 'm a Republican and the McCain campaign is too weak.
Solution: | I 'm a Democrat and the McCain campaign is too good. | NIv2 | task025_cosmosqa_incorrect_answer_generation | zs_opt |
Teacher: In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_) and their corresponding answer. The sentence pair should look similar, and should be about two related but different objects; for example "trophy" and "suitcase". Additionally, the two sentences must be different in terms of trigger words (e.g., "small" and "big") which express contrasting properties about the two objects. The answer must not be associated with the trigger word; instead, it should depend on the context present in twin sentences. Also, the answers should not be ambiguous. For each sentence, 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 animals and proper nouns (e.g., New York, Macbook, Jeff Bezos, McDonald's, ...) as your objects. Avoid repeating the same style or phrase in twin sentences. E.g., a contrasting sentence can always be created using simple negation i.e. by adding not, never, etc. Instead, try to increase diversity. Both twin sentences must contain at least 15 and at most 30 words. Twin sentences must have at least 70% overlapping words. You must utilize the given context word while writing the twin sentences. Each of the twin sentences must contain only one blank. Make sure that ObjectX and Y have the same number e.g. when ObjectX is singular, ObjectY must be singular, too. The two objects (ObjectX & ObjectY) should be used ONCE in each sentence. Here is a list of contrastive words that may be used as trigger words. You should create more such trigger words and use them in your twin sentences.
| 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 |
Teacher: Now, understand the problem? If you are still confused, see the following example:
Context word: fit.
Solution: Sentence 1: The trophy doesn't fit into the brown suitcase because _ is too large.
Answer1: trophy.
Sentence 2: The trophy doesn't fit into the brown suitcase because _ is too small.
Answer2: suitcase.
Reason: Here, the two objects are "trophy" and "suitcase". The trigger words are "large" and "small". Everything else (apart from the trigger words) are the same in the two sentences. The two sentences have different answers, which are the two objects ("trophy" and "suitcase").
Now, solve this instance: Context Word: ratio.
Student: | Sentence 1: The ratio for the mixture was ruined due to the fact that the _ was not proportional.
Answer1: ratio.
Sentence 2: The ratio for the mixture was ruined due to the fact that the _ was disproportionate.
Answer2: mixture. | NIv2 | task029_winogrande_full_object | fs_opt |
Detailed Instructions: The input is a tweet which can be classified as Hate Speech, Offensive or Normal. Given such a tweet, output the class the tweet belongs to. Hate Speech will contain threatening language towards the community targeted. Offensive language will contain abusive or discriminatory language towards the community targeted.
Q: u can be a sand nigger and a kike lol u do not know what either of those terms mean apparently
A: | Hate Speech | NIv2 | task1502_hatexplain_classification | zs_opt |
In this task, you are given an ambiguous question/query (which can be answered in more than one way) and a clarification statement to understand the query more precisely. Your task to classify that if the given clarification accurately clarifies the given query or not and based on that provide 'Yes' or 'No'.
Input: Consider Input: Query: What is equal opportunity employer?
Clarification: are you looking for lapidary classes
Output: No
Input: Consider Input: Query: Find me reviews of the les Miserables.
Clarification: do you want good reviews or bad reviews
Output: Yes
Input: Consider Input: Query: What are specific dangers of asbestos?
Clarification: do you want stores selling elliptical trainer
| Output: No
| NIv2 | task227_clariq_classification | fs_opt |
In this task, you are given a post in Spanish from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it should be labeled as non-hateful. Answer "hateful" or "Non-hateful". Note that the URLs in the text have been replaced with [Link].
Example input: Post: @medelcami01 Tu eres mi perra cierto
Example output: Hateful
Example explanation: This post contains explicit language "perra" and disrespects women. The English translation is "@medelcami01 You're my bitch right".
Q: Post: @chochos Pero tú eres puta del PRI
A: | Hateful | NIv2 | task334_hateeval_classification_hate_es | fs_opt |
This task is about translating a given English language sentence to Yoruba language.
The Police Service Commission has approved with immediate effect the dismissal of nine senior Police officers for gross misconduct. | Ilé Isẹ́ Olọ́ọ̀pá ti fi ọwọ́ sí yíyọ àwọn Ọ̀gá agbófinró mẹ́sàn án lẹ́yẹ ò sọkà látàri ìwà ìbàjẹ́ wọ́n. | NIv2 | task1685_menyo20k_translation | zs_opt |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
Sentence 1: A man and woman wearing sunglasses are window shopping. Sentence 2: It is sunny outside.
Output: | A man and a woman in sunglasses are looking into store windows. | NIv2 | task188_snli_neutral_to_entailment_text_modification | zs_opt |
Definition: Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
Input: How many people gather along the banks of Warsaw or no make that the Vistula for the Wianki festival?
Output: | How man people gather along the banks of the Vistula for the Wianki festival? | NIv2 | task1195_disflqa_disfluent_to_fluent_conversion | zs_opt |