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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 The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ).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.
[Q]: Head: PersonX affects every ___<sep>Tail: people are affected by PersonX
[A]: No
[Q]: Head: PersonX also loved ___<sep>Tail: to pursue a hobby
[A]: No
[Q]: Head: PersonX asks PersonX's boyfriend<sep>Tail: curious
[A]: | No
| 5 | NIv2 | task1210_atomic_classification_madeupof | fs_opt |
This task is to translate the Telugu Language Input to English Language Output
Q: మూవీ రివ్యూ : జానకి రాముడు ప్రధాన తారాగణం : నవీన్ సంజయ్,మౌర్యాని,ప్రియాంక,అర్జున్,సుధ,పవిత్ర లోకేష్,శివ కృష్ణ,సూర్య, జాకీ, సుదర్శన్, గీతాంజలి తదితరులు సంగీతం : గిఫ్టన్ ఎలియాస్ ఛాయాగ్రహణం : అనిత్ ఎడిటింగ్ : నాగేంద్ర అడపా సాహిత్యం Read More
A: Movie Review &Rating: Vangaveeti Cast: Sandeep Kumar,Vamsi Nakkanti,Vamsi Chaganti,Naina Ganguly,Kautilya,Shritej Music: Ravi Sankar Cinematography : Rahul Srivastav,Dilp Varma,Surya Chowdhary Edited: Siddhartha Ratholu Written : Chaithanya Read More
****
Q: బిగపడటం అమ్మాయి డ్రాయరు
A: Pick up Girl
****
Q: గూగుల్ స్థానాలు
A: | Toggle navigation
****
| 4 | NIv2 | task1617_cc_alligned_translate_tel_eng | fs_opt |
instruction:
Write a correct answer for the question. You should reason about prototypical situations and provide the correct answer. Avoid answers that provide incomplete justification for the question.
question:
how can you tell that the person who shares your room is having trouble sleeping?
answer:
tossing and turning
question:
name something people have trouble getting rid of.
answer:
insect
question:
name a legendary baseball player.
answer:
| babe ruth
| 9 | NIv2 | task820_protoqa_answer_generation | fs_opt |
In this task, you're given a short story of five sentences written in natural language. However, the order of the given story is not correct. Your job is to return the correct order for the given five sentences to create a coherent short story with the new order that has the correct flow. Generate your answer using the number of sentences in the correct order, such as '23415'.
[EX Q]: Sentence1: She confronted the person and they denied it. Sentence2: She asked around and found out who did it. Sentence3: They confirmed Jenny's suspicions. Sentence4: Jenny had security look at the camera footage. Sentence5: Jenny found someone stole her lunch twice in the break room this week.
[EX A]: 32541
[EX Q]: Sentence1: They were drinking beers and talking. Sentence2: Arthur and his friends were hanging out. Sentence3: All of a sudden the beer ran out. Sentence4: Arthur ordered another round for his friends. Sentence5: Arthur didn't want to take the last one.
[EX A]: 21354
[EX Q]: Sentence1: Brad was sick with a cold! Sentence2: He wanted to go out and play! Sentence3: He was too weak to move. Sentence4: His mother gave him soup and medicine. Sentence5: Brad's mother was very caring.
[EX A]: | 12345
| 6 | NIv2 | task300_storycloze_order_generation | fs_opt |
instruction:
In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with the rest of the story. Indicate your answer by "Yes" if it connects, otherwise "No". Do not generate anything else apart from "Yes" or "No". The given sentence is incorrect if it changes the subsequent storyline, so that at least one of the three subsequent sentences form a consistent story.
question:
Sentence 1: One day the Zacker family went to the museum.
Sentence 3: She thought the skeletons were cool
Sentence 4: Mr Zacker liked the caveman display
Sentence 5: Everyone had fun
Given Sentence 2: Britney's favorite exhibit was the dinosaur room.
answer:
Yes
question:
Sentence 1: John wanted chocolate for Christmas.
Sentence 3: He hated the peppermint taste and it's hard crunch
Sentence 4: John complained to his parents
Sentence 5: But they said thought he was spoiled
Given Sentence 2: Dejected, he sat down on the couch.
answer:
No
question:
Sentence 1: Morales had a very big bed.
Sentence 3: One day, he invited his friend to have a sleep over
Sentence 4: With two people, the big bed was more comfortable
Sentence 5: Then, Morales had a very good night sleep
Given Sentence 2: He slept alone and it was quite cold.
answer:
| Yes
| 9 | NIv2 | task066_timetravel_binary_consistency_classification | fs_opt |
Given the prompt and a response, classify the them to "yes" if response is "yes, and" type. Otherwise classify it as "no". "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..."). 1 In short, a "Yes, and" is a dialogue exchange in which a speaker responds by adding new information on top of the information/setting that was constructed by another speaker. Note that a "Yes, and" does not require someone explicitly saying 'yes, and...' as part of a dialogue exchange, although it could be the case if it agrees with the description above. There are many ways in which a response could implicitly/explicitly agree to the prompt without specifically saying 'yes, and...'.
Ex Input:
Prompt: Steve, let's button up a few more buttons on that shirt.
Response: Oh, come on. People like it.
Ex Output:
yes
Ex Input:
Prompt: Roger, you got me? Can you hear me?
Response: Yes, Don, I can hear you in my ear wig and I see words on the prompter. It's standard beginning "Good evening, Machete Falls, I'm Roger News. Welcome to News Control".
Ex Output:
yes
Ex Input:
Prompt: Despite loving you, Bernice, I think you should be with the king.
Response: Thank you, Turtle. Thank you for setting me free.
Ex Output:
| yes
| 1 | NIv2 | task361_spolin_yesand_prompt_response_classification | fs_opt |
instruction:
In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.
question:
name[The Phoenix], food[French], priceRange[£20-25], customer rating[3 out of 5], area[riverside]
answer:
In the riverside area, The Phoenix restaurant serves French food in the £20-25 price range. It has a customer rating of 3 out of 5.
question:
name[Travellers Rest Beefeater], priceRange[less than £20], customer rating[average], area[city centre], near[Café Adriatic]
answer:
Low priced Travellers Rest Beefeater is in city centre located near Café Adriatic. It is low priced with an average customer rating.
question:
name[Aromi], eatType[coffee shop], food[French], customer rating[average], area[riverside], familyFriendly[yes]
answer:
| Aromi is a family-friendly French coffee shop rated average. It is located near riverside.
| 9 | NIv2 | task957_e2e_nlg_text_generation_generate | fs_opt |
instruction:
In this task, you are given a text from a post. Your task is to find all of the proper nouns and label them. The labels are <B-PER>, <I-PER> for persons; <B-ORG>, <I-ORG> for organizations; <B-LOC>, <I-LOC> for locations; and <B-MISC>, <I-MISC> for other nouns. The capital 'B' denotes the first word of a proper noun phrase. The capital 'I' denotes all following words of the same noun phrase. If a word is not a part of a proper noun phrase, do not label it.
question:
Thursday :
answer:
Thursday :
question:
Every time he finds the net , the grey-haired forward pulls his shirtfront over his head as he runs to salute the fans , and Middlesbrough 's sponsors want to cash in on the spectacle .
answer:
Every time he finds the net , the grey-haired forward pulls his shirtfront over his head as he runs to salute the fans , and Middlesbrough <B-ORG> 's sponsors want to cash in on the spectacle .
question:
CARLSBAD , California 1996-08-25
answer:
| CARLSBAD <B-LOC> , California <B-LOC> 1996-08-25
| 9 | NIv2 | task610_conllpp_ner | fs_opt |
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.
--------
Question: Sentence: At the Charles Schwab & Co. office {{ in }} Atlanta 's Buckhead district , a group of investors voices skepticism that federal officials would curb program trading .
Word: in
Answer: ADP
Question: Sentence: Beijing 's rulers complained to the former president about U.S. `` interference '' in China 's {{ domestic }} affairs .
Word: domestic
Answer: ADJ
Question: Sentence: The action {{ followed }} by one day an Intelogic announcement that it will retain an investment banker * to explore alternatives `` 0 *T*-1 to maximize shareholder value , '' including the possible sale of the company .
Word: followed
Answer: | VERB
| 7 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | fs_opt |
TASK DEFINITION: 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.
PROBLEM: Jacob entered the dining_room. Elizabeth entered the dining_room. The strawberry is in the blue_bathtub. Elizabeth exited the dining_room. Jacob moved the strawberry to the red_bucket. Ethan entered the pantry. Elizabeth entered the pantry. The pineapple is in the blue_treasure_chest. Elizabeth exited the pantry. Ethan moved the pineapple to the red_suitcase. Elizabeth entered the dining_room. Oliver entered the dining_room. The pear is in the red_bucket. Oliver exited the dining_room. Elizabeth moved the pear to the blue_bathtub. Ethan is in the pantry. Jacob entered the pantry. The pumpkin is in the red_suitcase. Jacob exited the pantry. Ethan moved the pumpkin to the blue_treasure_chest. Where is the pumpkin really?
SOLUTION: blue_treasure_chest
PROBLEM: Benjamin entered the study. Mia entered the study. The turnip is in the green_box. Mia exited the study. Benjamin moved the turnip to the green_drawer. Benjamin exited the study. Mia entered the study. Where does Benjamin think that Mia searches for the turnip? Owen entered the playroom. Jacob entered the playroom. The eggplant is in the green_suitcase. Jacob exited the playroom. Owen moved the eggplant to the red_cupboard. Owen exited the playroom. Jacob entered the playroom. Where does Owen think that Jacob searches for the eggplant? Mia entered the closet. Jacob entered the closet. The apple is in the red_bottle. Jacob exited the closet. Mia moved the apple to the red_suitcase. Mia exited the closet. Jacob entered the closet. Where will Jacob look for the apple? Jacob entered the playroom. Mia entered the playroom. The tomato is in the red_cupboard. Jacob moved the tomato to the green_suitcase. Where is the tomato really?
SOLUTION: green_suitcase
PROBLEM: Jackson entered the basement. Jack entered the basement. The pumpkin is in the green_bucket. Jack exited the basement. Jackson moved the pumpkin to the blue_cupboard. Jackson exited the basement. Jack entered the basement. Liam entered the crawlspace. Jack entered the crawlspace. The grapes is in the red_box. Jack exited the crawlspace. Liam moved the grapes to the green_pantry. Liam exited the crawlspace. Jack entered the crawlspace. Liam entered the TV_room. Jackson entered the TV_room. The watermelon is in the blue_envelope. Jackson exited the TV_room. Liam moved the watermelon to the red_suitcase. Liam exited the TV_room. Jackson entered the TV_room. Jack entered the living_room. Hannah entered the living_room. The peach is in the red_cupboard. Hannah exited the living_room. Jack moved the peach to the red_bucket. Jack exited the living_room. Hannah entered the living_room. Where will Hannah look for the peach?
SOLUTION: | red_bucket
| 8 | NIv2 | task153_tomqa_find_location_hard_clean | fs_opt |
In this task, you are given a sentence in the english language. Here, your job is to convert english sentence into the bulgarian language.
Accession of Bulgaria and Romania to the Convention on driving disqualifications (vote)
Присъединяване на България и Румъния към Конвенцията от 17 юни 1998 г. за лишаване от право на управление на МПС (вот)
Development of the Community's railways (vote)
Железопътна инфраструктура (вот)
Statistical returns in respect of carriage of goods and passengers by sea (recast) (
| Статистически данни при превоз на товари и пътници по море (преработена версия) (
| 0 | NIv2 | task272_europarl_translation | fs_opt |
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.
Q: Aria entered the front_yard. Ethan entered the front_yard. The lime is in the green_bucket. Ethan exited the front_yard. Aria moved the lime to the green_pantry. Ethan entered the lounge. Isabella entered the lounge. The tomato is in the blue_bathtub. Phone rang. Isabella exited the lounge. Phone rang. Ethan moved the tomato to the green_cupboard. Aria is in the front_yard. Lucas entered the front_yard. The lime is in the green_pantry. Lucas exited the front_yard. Aria moved the lime to the green_bucket. Ethan entered the hallway. Lucas entered the hallway. The persimmon is in the red_treasure_chest. Lucas exited the hallway. Ethan moved the persimmon to the red_drawer. Where is the persimmon really?
A: red_drawer
****
Q: Amelia entered the garden. Phone rang. Ethan entered the garden. The eggplant is in the green_cupboard. Phone rang. Ethan exited the garden. Amelia moved the eggplant to the red_pantry. Amelia exited the garden. Ethan entered the garden. Aria entered the bathroom. Mason entered the bathroom. The cabbage is in the green_treasure_chest. Mason exited the bathroom. Aria moved the cabbage to the green_basket. Aria exited the bathroom. Mason entered the bathroom. Ethan is in the garden. Mason entered the garden. The eggplant is in the red_pantry. Mason exited the garden. Ethan moved the eggplant to the green_cupboard. Phone rang. Ethan exited the garden. Mason entered the garden. Ethan entered the living_room. Amelia entered the living_room. Phone rang. The orange is in the red_drawer. Amelia exited the living_room. Phone rang. Ethan moved the orange to the green_bottle. Ethan exited the living_room. Amelia entered the living_room. Where was the orange at the beginning?
A: red_drawer
****
Q: Oliver entered the bedroom. Aiden entered the bedroom. The grapefruit is in the red_pantry. Phone rang. Oliver moved the grapefruit to the red_treasure_chest. Aiden entered the TV_room. Ethan entered the TV_room. The grapes is in the red_envelope. Aiden moved the grapes to the green_basket. Evelyn entered the TV_room. Phone rang. Ethan is in the TV_room. The asparagus is in the green_basket. Evelyn moved the asparagus to the red_envelope. Ethan entered the porch. Aiden entered the porch. The pear is in the red_suitcase. Ethan moved the pear to the red_bottle. Where was the pear at the beginning?
A: | red_suitcase
****
| 4 | NIv2 | task154_tomqa_find_location_hard_noise | fs_opt |
Given a sentence in Somali language, translate the sentence to English language keeping the meaning of the original sentence intact
Input: Consider Input: Somali sentence: 28 Laakiin waxaan idinku leeyahay, Nin walba oo qof dumar ah damac u eegaa, durba qalbigiisuu kaga sinaystay.
Output: 28 But I say unto you, That whosoever looketh on a woman to lust after her hath committed adultery with her already in his heart.
Input: Consider Input: Somali sentence: 33:1 Markaasaa Rabbigu Muuse la hadlay oo, oo wuxuu ku yidhi: "Soo baxa, kori meeshan ka, adiga iyo qoomkaagaba, kii aad soo bixiyey dalkii Masar wadeen, dalkii aan ugu dhaartay Ibraahim, Isaac, iyo Yacquub, oo wuxuu ku yidhi: Si farcankaaga, Waan ku siin doonaa.
Output: 33:1 And the Lord spoke to Moses, saying: “Go forth, ascend from this place, you and your people, whom you led away from the land of Egypt, into the land that I swore to Abraham, Isaac, and Jacob, saying: To your offspring, I will give it .
Input: Consider Input: Somali sentence: Ilaah waa abuuraha nolosha wuxuuna ogyahay.
| Output: God is the Creator of life and He knows.
| 2 | NIv2 | task450_opus_paracrawl_so_en_translation | fs_opt |
In this task you are given a story and a question regarding that story. You must judge whether the question is answerable based on the info given to you. Label the instances as "Answerable" or "Not Answerable" based on your judgment. the story and the question are separated by a new line character.
Input: Consider Input: Rohan rode his horse to Mavis Gilbert's home. He helped her learn to ride a horse. One horse was rowdy and threw her off. This scared Mavis and she vowed never to ride again. Rohan shrugged and rode away into the sunset.
Why did Rohan shrug ?
Output: Answerable
Input: Consider Input: Amy noticed her friend Beth was crying. She asked Beth what was the matter. Beth told Amy about a sad movie she saw. Amy thought the movie sounded interesting. They watched the movie together.
Why did Amy think the movie sounded interesting?
Output: Answerable
Input: Consider Input: Sarah was hungry. She walked to the local deli. She purchased a bagel with egg and avocado. She ate the sandwich. Sarah was much happier afterward.
Why did She eat the sandwich?
| Output: Answerable
| 2 | NIv2 | task290_tellmewhy_question_answerability | fs_opt |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Polish.
É importante para agora, para o antes posible.
Jest ważne teraz i najszybciej jak się da.
Boas noites doce donicela "". (Risos) Moi sinxelo.
Dobranoc, kochany oposie "". (Śmiech) Prosta sprawa.
así que trouxen unha foto co pelo longo.
| Tak więc oto moje włochate zdjęcie.
| 0 | NIv2 | task1244_ted_translation_gl_pl | fs_opt |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
Input: Consider Input: 心は満たされるさ
Output: إنها تشبع عقلي وروحي.
Input: Consider Input: 百の異なるシステムのアカウントを持ち各システムごとに異なるパスワードを持たなければならないとどうでしょう ？
Output: لكن ماذا تفعل عندما تكون لديك حسابات على مئات الأنظمة المختلفة ومن المفترض أن تكون لديك كلمة مرور فريدة لكل واحد من هذه الأنظمة ؟
Input: Consider Input: （ 笑い ） （ 拍手 ） 幸いにも、撮影したときの音声はありません
| Output: (ضحك) (تصفيق) حمدا لله أنه لا يوجد صوت يصاحب هذا الفيديو.
| 2 | NIv2 | task1224_ted_translation_ja_ar | fs_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.
Q: Sentence 1: A runner winces as he runs. Sentence 2: His leg fell off while he was running.
A: C
****
Q: Sentence 1: A man dressed completely in red, white, and blue, with a flag shirt, flag shorts, and an Uncle Sam hat, poses for a picture at an outdoor fair. Sentence 2: A patriotic man is at the fair
A: C
****
Q: Sentence 1: Child playing soccer on a field. Sentence 2: A child is outside.
A: | C
****
| 4 | NIv2 | task190_snli_classification | fs_opt |
This task is to translate a news commentary given in Dutch language into Portuguese language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Example Input: Zo moet het ook zijn.
Example Output: É assim que deve ser.
Example Input: Bovendien moet de klimaatfinanciering van de rijke landen helpen de veerkracht tegen klimaatverandering in de meest kwetsbare landen te verbeteren.
Example Output: Além disso, o financiamento da luta contra as alterações climáticas disponibilizado pelos países ricos deve contribuir para melhorar a resiliência às alterações climáticas nos países mais vulneráveis.
Example Input: En het mag niet worden vergeten dat – naast het gevoel onder de jongeren dat zij geen toekomst hadden onder de nationalistische militaire dictaturen van het verleden – massale armoede de tweede oorzaak van de revolutie van 2011 was.
Example Output: | E não devemos esquecer que, juntamente com a sensação que os jovens tinham de lhes faltar um futuro sob as ditaduras militares nacionalistas do passado, a pobreza generalizada foi a segunda causa da revolução de 2011.
| 3 | NIv2 | task1375_newscomm_translation | fs_opt |
instruction:
In this task, you are given a sentence in the English language and your task is to convert it into the Swedish language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
question:
This is the most detailed and comprehensive report to date on the environmental effects of the Kosovo conflict and I recommend it to those who have not yet studied it.
answer:
Detta är den hittills mest detaljerade och omfattande rapporten om Kosovokrigets miljökonsekvenser och jag rekommenderar dem av er som ännu inte har tagit del av den att göra det.
question:
There is a Paris Memorandum in existence, let me remind you, which stipulates a minimum for inspection, that is, one in four of the vessels putting into European ports must be inspected by the maritime authorities of the country concerned.
answer:
Man skall komma ihåg att det finns en skrivelse från Paris som förutsätter en minimikontroll: en fjärdedel av de båtar som lägger ut från en europeisk hamn måste kontrolleras av det berörda landets kustmyndigheter.
question:
I will return to this process of consultation in a few moments.
answer:
| Jag kommer att återkomma till detta rådslag om några ögonblick.
| 9 | NIv2 | task313_europarl_en_sv_translation | fs_opt |
In this task, you are given two facts, and a multiple-choice question. Based on the given facts, answer the question with index of the correct option (e.g, "A").
[Q]: Fact1: Infancy is the period of most rapid growth after birth., Fact2: Development means to get better, growth means to get bigger., Question: What is the period of most rapidly getting bigger after birth? (A) 86400 (B) infancy (C) adult (D) a hosta (E) pregnancy (F) adulthood (G) eight (H) angiosperm
[A]: B
[Q]: Fact1: a greenhouse is used to protect plants by keeping them warm, Fact2: With lots of rain and a warm climate, plants grow well., Question: What does a greenhouse help plants do? (A) Park cars (B) Start panicking (C) reproduce (D) growth (E) Bloom slower (F) adding heat (G) Regrows it (H) Grow well
[A]: H
[Q]: Fact1: Carbon monoxide is a gas produced by furnaces and other devices that burn fuel., Fact2: Cabins have wood burning stoves and propane furnaces., Question: What gas is produced by burning propane? (A) Greenhouse gases (B) Sulfur dioxide (C) gasoline (D) Carbon monoxide (E) hydrocarbons (F) carbon dioxide (G) dangerous (H) heating liquids
[A]: | D
| 5 | NIv2 | task1297_qasc_question_answering | fs_opt |
In this task, you're given a statement and three sentences as choices. Your job is to determine the neutral choice based on your inference from the statement and your commonsense knowledge. The neutral choice is a sentence that neither agrees nor disagrees with the statement. Indicate your answer as '1', '2', or '3', corresponding to the choice number of the selected sentence. If sentence X agrees with sentence Y, one's correctness follows from the other one. If sentence X disagrees with sentence Y, they can not be correct at the same time.
Example Input: Statement: It will enable leaders to do a better job of marketing legal services by telling the story of what LSC grantees are contributing to their communities through the partnerships they have created and the wide range of solutions they have put in place. Choices: 1. LSC grantees don't care about their community. 2. LSC grantees have raised a lot of money for their communities. 3. LSC grantees have created a lot of solutions for their communities.
Example Output: 2
Example Input: Statement: New castles were built and new weapons acquired, including the famous gun called Mons Meg. Choices: 1. The Mons Meg is not a gun, it is a brand of car. 2. The Mons Meg has a bullet capacity of 6. 3. The Mons Meg is a famous gun acquired recently.
Example Output: 2
Example Input: Statement: right i don't remember his name um Choices: 1. I don't recall his name. 2. I don't remember if his name is Jim or John. 3. I know his name is Tom.
Example Output: | 2
| 3 | NIv2 | task201_mnli_neutral_classification | fs_opt |
In this task you will be given some text dialogue and you need to infer the underlying emotion of the text. The possible emotions are happy, sad, angry, or other.
--------
Question: ya i am geting my ged bit me i lost everything
Answer: sad
Question: no about me about you what destiny i'm depressed
Answer: sad
Question: yes i am very enerjetic you are indeed yes i am missing
Answer: | sad
| 7 | NIv2 | task517_emo_classify_emotion_of_dialogue | fs_opt |
In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every even number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no even numbers in an inner list you should output 0 for that list.
Input: Consider Input: [[2, 31, 49], [7, -48], [-5, 16, 2, 28]]
Output: [2, -48, 896]
Input: Consider Input: [[24, -25, 11], [36, -21, -33, -17, 27], [41, -45, -1, -50], [40, -31, 20, -13, -45], [47, 7], [-21, 0, 22], [21, -16, 21, 33, 5]]
Output: [24, 36, -50, 800, 0, 0, -16]
Input: Consider Input: [[0, 30, -9], [-20, 40, 6, 25], [-31, 25, -31], [-12, -5, -36], [-45, -5, 7, -13]]
| Output: [0, -4800, 0, 432, 0]
| 2 | NIv2 | task851_synthetic_multiply_evens | fs_opt |
You are asked to create a question containing a blank (_), based on the given context word. Your question must contain two related but different objects; for example "trophy" and "suitcase". The expected answer to your question must be one of the objects present in the sentence. The expected answer must not be associated with any specific word in the question; instead it should depend on the context present in the question. The expected answer should not be equally likely to fill the blank. For your question, there should be a agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use animals or proper nouns (e.g., New York, Macbook, Jeff Bezos, McDonald's, ...) as your objects. 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 Object X and Y have the same number e.g. when ObjectX is singular, Object Y must be singular, too. The two objects (Object X & Object Y) should be used ONCE in your question. Here is a list of attributes and associated pair of contrastive words which may be used to create a valid question using the objects. You can use either of the contrastive words, but not both. You should think about more such attributes and associated words and use them in your question.
| 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 |
[Q]: Context Word: turmeric.
[A]: The turmeric got messy after a few times so we used paprika afterwards as the _ was wet.
[Q]: Context Word: escort.
[A]: The police could escort the prisoner to the gate but not to the cell, as entry to _ was permitted .
[Q]: Context Word: past.
[A]: | The house had stood firm in the past, but was now destroyed by the wind, the _ was just too fragile.
| 5 | NIv2 | task031_winogrande_question_generation_object | fs_opt |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.
Example Input: La loro utilità varia e contribuisce alla diversità di trattamento degli anziani nella società.
Example Output: A sua utilidade varia e contribui para a variação no tratamento que a sociedade dá aos idosos.
Example Input: Quando lo provai, capii di averlo trovato.
Example Output: E quando o experimentei, soube que o tinha encontrado.
Example Input: E 'l'unica minaccia, l'unica influenza che la barriera ha dovuto affrontare.
Example Output: | É a única ameaça, a única influência com a qual o recife teve de lidar.
| 3 | NIv2 | task1255_ted_translation_it_pt | fs_opt |
In this task, you are given a review of product in Polish language and a question whether this review has positive sentiment. You are expected to generate the answer. The output should be "Yes" or "No". Don't generate anything apart from "Yes", "No".
--------
Question: Text: Dźwięk jak na tę cenę i na sposób zasilania jest OK. Do biura, gdzie głośność będzie niska i dźwięk raczej w tle - nadaje się idealnie. Zasilanie z USB powoduje, że nie trzeba mieć w pobliżu gniazda 230V. Głośniki JEDNODROŻNE, mimo ładnie brzmiącego opisu, że "Metalowa osłona chroni głośnik przed przypadkowym uszkodzeniem". Nie ma tam żadnego głośnika, jest tylko plastikowa zaślepka! Jedyna membrana, jaką głośnik ma, to ta niezabezpieczona. A więc opis wyraźnie kłamie. Ogromnym minusem jest króciutki kabel. To sprawia, że do małego laptopa jeszcze wystarczy, ale jeśli ktoś ma większy monitor, to kabla nie wystarczy, żeby postawić głośniki po obu jego stronach. Kabel musiałem więc przedłużyć.
Question: Is the text a positive review?
Answer: Yes
Question: Text: Kupujący pisali o słabej jakości - muszę się nie zgodzić. Jeśli o szybsze "zużycie" etui - no cóż jest to nadruk "personalizowany", także wiadomo, że będzie się ścierał natomiast mam już od kilku tygodni i nadal jest w bardzo dobrym stanie. Wbrew innym opiniom - nie śmierdzi - jest to zapach druku i po niedługim czasie zanika.
Question: Is the text a positive review?
Answer: Yes
Question: Text: Na dole czarna ramka zasłania diodę powiadomień - fatalne rozwiązanie. Szkło posiada otwór na czujnik Face ID (bardzo dobrze) ale na aparat już nie, co powoduje, że akurat w moim przypadku pod szkłem na przednim aparacie gromadzi się masa kurzu i nic nie widać - całkowite zamglenie. Na koniec coś co mnie zaskoczyło... telefon ani razu mi nie upadł, a już po tygodniu szkło zaczęło powoli pękać i teraz mam pęknięcie po całości. Podsumowując - nie polecam.
Question: Is the text a positive review?
Answer: | No
| 7 | NIv2 | task635_allegro_reviews_answer_generation | fs_opt |
In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.
Ex Input:
GPT-2 achieves the highest score and the $n$-gram the lowest. Transformer-XL and the LSTM LM perform in the middle, and at roughly the same level as each other. We report the 12-category accuracy results for all models and human evaluation in Table TABREF14.
Ex Output:
What is the performance of the models on the tasks?
Ex Input:
Sentiment Classification
We first conduct a multi-task experiment on sentiment classification.
We use 16 different datasets from several popular review corpora used in BIBREF20 . These datasets consist of 14 product review datasets and two movie review datasets.
All the datasets in each task are partitioned randomly into training set, development set and testing set with the proportion of 70%, 10% and 20% respectively. Transferability of Shared Sentence Representation
With attention mechanism, the shared sentence encoder in our proposed models can generate more generic task-invariant representations, which can be considered as off-the-shelf knowledge and then be used for unseen new tasks. Introducing Sequence Labeling as Auxiliary Task
A good sentence representation should include its linguistic information. Therefore, we incorporate sequence labeling task (such as POS Tagging and Chunking) as an auxiliary task into the multi-task learning framework, which is trained jointly with the primary tasks (the above 16 tasks of sentiment classification).
Ex Output:
What tasks did they experiment with?
Ex Input:
For each qualifying diagnosis tweet we retrieve the timeline of the corresponding Twitter user using the Twitter user_timeline API endpoint . Subsequently, we remove all non-English tweets (Twitter API machine-detected“lang” field), all retweets, and tweets that contain “diagnos*” or “depress*”, but not a valid diagnosis statement. The resulting Depressed cohort contains 1,207 individuals and 1,759,644 tweets ranging from from May 2008 to September 2018.
Ex Output:
| Do they report results only on English datasets?
| 1 | NIv2 | task461_qasper_question_generation | fs_opt |
In this task, you will be given a list of integers. You should remove all of the odd integers from the list(consider 0 an even number). If every integer in the input list is odd then an empty list ("[]") should be returned. Otherwise, answer with the list of even numbers separated by comma inside brackets.
Q: [-62, 46, 24, 31, -37, -79]
A: [-62, 46, 24]
****
Q: [-40, 65, 26, -23]
A: [-40, 26]
****
Q: [2, -93, -58, -75, 74, -10, -3, -66]
A: | [2, -58, 74, -10, -66]
****
| 4 | NIv2 | task369_synthetic_remove_odds | 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 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.
[Q]: Head: PersonX declares ___ on japan<sep>Tail: like a god
[A]: Yes
[Q]: Head: PersonX is bullied in school<sep>Tail: rejected
[A]: Yes
[Q]: Head: PersonX reaches ___ in safety<sep>Tail: secure
[A]: | Yes
| 5 | NIv2 | task1203_atomic_classification_xreact | fs_opt |
Given a pair of words, deduce the type of relationship between them. The various types of relations are: 'HYPER', 'COORD' and 'RANDOM'. Let's denote the first word by X and the second word by Y. A COORD relationship holds when X and Y belong to the same semantic class. A HYPER relationship applies when X is a specific instance of Y. If niether COORD nor HYPER are applicable then the relationship is RANDOM.
Q: X: barley, Y: string
A: RANDOM
****
Q: X: banana, Y: lemon
A: COORD
****
Q: X: postal, Y: mercurial
A: | HYPER
****
| 4 | NIv2 | task1505_root09_semantic_relation_classification | fs_opt |
TASK DEFINITION: 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.
PROBLEM: Comment: REALLY, these Trump LEECHES sound like a bunch of NANCY BOYS, the more they shoot their Mouths off.
A REAL TURN OFF, ONLY they are too DUMB to realize it.
Very 'High School'....led of course by this new SMURF, SCARRY-MUCHO.
Scarey like that nerd-kid in high school who discovered he had a penis...and now he wants to exercise it.
And it's very small.
SOLUTION: Sexual-explicit
PROBLEM: Comment: In Muhammadan communities in the US the Libraries are places where the girls orally service their boyfriends.
SOLUTION: Sexual-explicit
PROBLEM: Comment: Close your legs if u dont want to get preggo.
Get on birth control even if youre not sexually active and happen to get raped. There are kinds that are good for your skin.
SOLUTION: | Sexual-explicit
| 8 | NIv2 | task323_jigsaw_classification_sexually_explicit | fs_opt |
TASK DEFINITION: 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 |
PROBLEM: Context Word: scanner.
SOLUTION: Sentence 1: While using the scanner to check the price tag on the pan, he discovered the _ was on the wrong item.
Answer1: tag.
Sentence 2: While using the scanner to check the price tag on the pan, he discovered the _ was on the wrong shelf.
Answer2: pan.
PROBLEM: Context Word: caterpillars.
SOLUTION: Sentence 1: My friend's room is decorated with both caterpillars and butterflies. I prefer the butterflies because the _ are ugly.
Answer1: caterpillars.
Sentence 2: My friend's room is decorated with both caterpillars and butterflies. I prefer the butterflies because the _ are pretty.
Answer2: butterflies.
PROBLEM: Context Word: golfer.
SOLUTION: | Sentence 1: The golfer decided to buy new shoes, but not clubs, because his _ were worn.
Answer1: shoes.
Sentence 2: The golfer decided to buy new shoes, but not clubs, because his _ were newer.
Answer2: clubs.
| 8 | NIv2 | task029_winogrande_full_object | 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.
Q: claim: Handguns must be banned in Washington D.C.
perspective: The individual right to bear arms should be restricted in DC.
A: support
****
Q: claim: Social networking sites are good for our society.
perspective: Social media causes people to spend less time interacting face-to-face.
A: undermine
****
Q: claim: Animal testing should be banned.
perspective: When research is done on animals, it causes them severe harm.
A: | support
****
| 4 | NIv2 | task738_perspectrum_classification | fs_opt |
The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (wherever available), output Yes if the utterance contains the small-talk strategy, otherwise output No. small-talk is a cooperative negotiation strategy. It is used for discussing topics apart from the negotiation, in an attempt to build a rapport with the opponent. For example, discussing how the opponent is doing during the pandemic or sharing excitement for the camping trip.
Example Input: Context: 'ok, so what at I get 2 firewood and you get 1 so you can cook your fish.' 'I'll really need 2 firewood if we do this.' 'I need the firewood also because this campsite is bare and the little bit of wood I did have a raccoon came and stole it.☹️'
Utterance: 'Okay, how about I get 1 food, three water, and 1 firewood?'
Example Output: No
Example Input: Context: 'Hello 🙂 Hope you have a good amount of supplies for your trip!' 'Not really! I will need you to give me 3 food, 2 water and 2 firewood.' 'Yea, that's not going to work for me. That would leave me with NO food, and only 1 water, and 1 firewood. Would you take that deal, if I offered it back to you?'
Utterance: 'Ok what will work for you?'
Example Output: No
Example Input: Context: 'Hello' 'Hi there.. how are you doing today? I hope well! 🙂 So, it looks like we need to divy up these supplies, huh? Do you have any thoughts on the issue?'
Utterance: 'I'm doing fine thank you, how about you? Well for my trip I'm most interesting in socializing so a great campfire a night would be great, I'd prefer not to boil water either so want extra of that too. Food less so as I will go fishing and know wild vegetables, fruits and mushrooms I can pick. How about you?'
Example Output: | Yes
| 3 | NIv2 | task357_casino_classification_negotiation_small_talk | fs_opt |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to classify the genre of the sentences from the 10 options displayed. Indicate your answer by entering the number of the choice as 1-10.
Ex Input:
Sentence 1: For those of you who have only disdain for the current ratemaking process---the length of time it takes and the cost of litigation---please keep in mind that the PRC process affords the only opportunity you may have to truly scrutinize this swing before you get the next $1. Sentence 2: Some people dislike the current ratemaking process, saying it is too costly. Choices: 1. FACE-TO-FACE, 2. GOVERNMENT, 3. LETTERS, 4. 9/11, 5. SLATE, 6. TELEPHONE, 7. TRAVEL, 8. VERBATIM, 9. OUP, 10. FICTION.
Ex Output:
1
Ex Input:
Sentence 1: Normal precautions apply here as beware especially of water-skiers and speed-boats, which sometimes stray from their flagged areas. Sentence 2: No other people are allowed on the water, so you don't need to look out. Choices: 1. FACE-TO-FACE, 2. GOVERNMENT, 3. LETTERS, 4. 9/11, 5. SLATE, 6. TELEPHONE, 7. TRAVEL, 8. VERBATIM, 9. OUP, 10. FICTION.
Ex Output:
6
Ex Input:
Sentence 1: Blumenthal's boss has very little in common with Reagan and, if anything, wears his beliefs too lightly. Sentence 2: The amount of things Reagan and Blumenthal's boss had in common are too numerous to count. Choices: 1. FACE-TO-FACE, 2. GOVERNMENT, 3. LETTERS, 4. 9/11, 5. SLATE, 6. TELEPHONE, 7. TRAVEL, 8. VERBATIM, 9. OUP, 10. FICTION.
Ex Output:
| 4
| 1 | NIv2 | task198_mnli_domain_classification | fs_opt |
A piece of text from one of these 5 languages - French, English, Dutch, Somali, Tagalog is given. Generate the language to which the text belongs.
[EX Q]: Text: Ama, Ma waxay ka Abuurin Samooyinka iyo dhulka?
[EX A]: Somali
[EX Q]: Text: L'iPod a été emballé et bien de retour sur la route de Nelson, Nouvelle-Zélande a.
[EX A]: French
[EX Q]: Text: Cependant ces excellents abs sont impossibles à atteindre jusqu'à ce ainsi que , sauf si vous vous privez à mort.
[EX A]: | French
| 6 | NIv2 | task447_opus_paracrawl_classification | fs_opt |
instruction:
In this task, you are given a sentence from the Bible in English, and your task is to translate it into Persian.
question:
And God looked upon the earth, and, behold, it was corrupt; for all flesh had corrupted his way upon the earth.
answer:
و خدا زمین را دید که اینک فاسدشده است، زیرا که تمامی بشر راه خود را بر زمین فاسد کرده بودند.
question:
Every place whereon the soles of your feet shall tread shall be yours: from the wilderness and Lebanon, from the river, the river Euphrates, even unto the uttermost sea shall your coast be.
answer:
آیا آنها به آنطرف اردن نیستند پشت راه غروب آفتاب، در زمین کنعانیانی که در عربه ساکنند مقابل جلجال نزد بلوطهای موره.
question:
Therefore the people came to Moses, and said, We have sinned, for we have spoken against the LORD, and against thee; pray unto the LORD, that he take away the serpents from us. And Moses prayed for the people.
answer:
| و از آنجا کوچ کرده، به وادی زارد اردو زدند.
| 9 | NIv2 | task655_bible_en_fa_translation | fs_opt |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
Example Input: （ 拍手 ） 私のコミュニティで初めて行われた働きかけが条例化の呼びかけにつながりましたそれは私たちのコミュニティでは少女たちを守る初めての条例でした
Example Output: (تشویق) در جامعه من ، که برای نخستین بار درآن جامعه اتفاق میفتاد ، مجبور به وضع مقررات محلی شدند ، نخستین مقررات محلی که در جامعه ما از دخترها حمایت می کرد.
Example Input: その1500万ドルの成果です
Example Output: و من تصویر 15 میلیون دلاری را به شما نشان خواهم داد.
Example Input: 多様性は良いことですなぜなら人類は多様性があるものだと思っていても人類は絶滅の危機を迎えているのです人類はアフリカの１女性から始まりその結果 55匹のアフリカのチンパンジーの遺伝的多様性は 70億の人類よりも大きいのです
Example Output: | تنوع چیز بدی نیست ، چون گرچه فکر می کنیم انسانها خیلی متفاوت ومتنوع هستند ، ما خیلی نزدیک به انقراض بودیم که نسل همه ما از یک مادر آفریقایی ست و نتیجه اش اینکه تنوع ژنتیکی ۵۵ شامپانزه آفریقایی بیشتر از هفت میلیارد انسانه.
| 3 | NIv2 | task1098_ted_translation_ja_fa | fs_opt |
TASK DEFINITION: This task is to identify the language of a sentence correctly by classifying if it is English or Telugu
PROBLEM: పీవీ సింధుకు రూ.6 లక్షల వజ్రాభరణంతో సత్కారం, థ్యాంక్స్ చెప్పింది
SOLUTION: Telugu
PROBLEM: 20:1 And the Lord spoke all these words:
SOLUTION: English
PROBLEM: 123456తర్వాత> >> పేజీ 1/14
SOLUTION: | Telugu
| 8 | NIv2 | task1618_cc_alligned_classify_tel_eng | fs_opt |
In this task, you will be given a list of integers. You should remove all of the odd integers from the list(consider 0 an even number). If every integer in the input list is odd then an empty list ("[]") should be returned. Otherwise, answer with the list of even numbers separated by comma inside brackets.
Ex Input:
[70, 44, -39, 1, -2, 63, -66, -17, -45, 24]
Ex Output:
[70, 44, -2, -66, 24]
Ex Input:
[-69, 59, 16, -12, -5, -89, 82, 31, -73, 50, -67]
Ex Output:
[16, -12, 82, 50]
Ex Input:
[22, 29, 94]
Ex Output:
| [22, 94]
| 1 | NIv2 | task369_synthetic_remove_odds | fs_opt |
In this task, you are given a sentence in Persian, and you have to paraphrase it. The paraphrased sentence must have the same meaning as the input.
چگونه چربی چربی شکم را از دست دهم؟
یک برنامه تمرینی خوب برای از دست دادن چربی شکم چیست؟
چرا به امام صادق صادق می گویند؟
چرا به امام جعفر صادق صادق می گویند؟
روند انتخابات ریاست جمهوری آمریکا چیست؟
| روش انتخابات ریاست جمهوری در ایالات متحده چیست؟
| 0 | NIv2 | task466_parsinlu_qqp_text_modification | fs_opt |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
Ex Input:
¿Ahora que tenemos acceso ilimitado a la música, qué queda con nosotros?
Ex Output:
Now that we have unlimited access to music, what does stick with us?
Ex Input:
Esto lleva a una gran cantidad de enfoques en paralelo en diferentes grupos sociales que prueban diferentes métodos de trabajar hacia la meta.
Ex Output:
This leads to a lot of different approaches tried in parallel in different social groups who try out different methods of working toward the goal.
Ex Input:
Solo apartándonos un poco, y yendo un poco más atrás, permaneciendo quietos, podemos empezar a ver el sentido del lienzo y a captar la imagen mayor.
Ex Output:
| And it's only by stepping back, and then further back, and holding still, that we can begin to see what the canvas means and to catch the larger picture.
| 1 | NIv2 | task1226_ted_translation_es_en | fs_opt |
Given a sentence in Somali language, translate the sentence to English language keeping the meaning of the original sentence intact
Somali sentence: 35 Oo anigu waxaan kicin doonaa wadaad aamin ah kaasoo samayn doona waxa ku jira qalbigayga iyo maankayga; oo anna waxaan isaga u dhisi doonaa reer ammaan ah, oo isna weligiis wuxuu ku hor socon doonaa kayga subkan.
35 And I will raise me up a faithful priest, that shall do according to that which is in mine heart and in my mind: and I will build him a sure house; and he shall walk before mine anointed for ever.
Somali sentence: 10:27 Iyada oo laga jawaabayo, ayuu yiri: "Waa inaad Rabbiga Ilaahaaga ah ka jeclaataa qalbigaaga oo dhan ka, iyo naftaada oo dhan, iyo xooggaaga oo dhan, iyo caqligaaga oo dhan, oo Waa inaad deriskaaga u jeclaataa sida naftaada. "
10:27 In response, he said: “You shall love the Lord your God from your whole heart, and from your whole soul, and from all your strength, and from all your mind, and your neighbor as yourself.”
Somali sentence: Maanta waxaan ku qori article ah oo ku saabsan Clash Royale Gems Generator Apk .
| Today we write an article about Clash Royale Gems Generator Apk. If you are looking for Clash Royale Hack you are on the right place! Keep reading this article, Clash Royale Gems Generator Apkand you will get what you are looking for.
| 0 | NIv2 | task450_opus_paracrawl_so_en_translation | fs_opt |
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence in a geopolitical context based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: geopolitical or non-geopolitical depending on the topic.
[Q]: মানবতা চুদাছ কি বালের পড়াশুনা করছচ তু যদি হেডাম থাকে জাকির নায়েক এর সাথে বসিছ তুর হেডাতে কত রস আছে দেখমু চি তুর মা বাবার পাপের ফসল তুই মাগি
[A]: non-geopolitical
[Q]: যে কোনো ভাবে মালাউন আমদানি করে
[A]: non-geopolitical
[Q]: সালা বেইমান বাংলাদেশের বরিশালের ছেলে গান গায় ভারতের তার মুখে কোনো কথাই মানায়না।
[A]: | geopolitical
| 5 | NIv2 | task1493_bengali_geopolitical_hate_speech_binary_classification | fs_opt |
In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independence of Catalonia then it's 'Against' and if the tweets support it then it will be labeled as 'Favor' also if the tweets state information or news rather than stating opinion then it will be characterized as 'Neutral'.
Tweet: @davidbroc No entenc perquè porten ells Jordan i no nosaltres...Aquí tenim bàsquet de nivell també...
Against
Tweet: RT @cdm1950: @xavidomenech99 Fa molts dies q dic q si marxen el presos d Catalunya, per el judici, no tornaran
Favor
Tweet: La seva derrota començava el #20S, amb un poble mobilitzat des de la desobediència civil no violenta, defensant els drets amb fermesa i determinació.
| Favor
| 0 | NIv2 | task1646_dataset_card_for_catalonia_independence_corpus_text_classification | fs_opt |
Given a sentence in Spanish, generate a new Spanish 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.
[EX Q]: Ir al jardín es para luchar contra la comida.
[EX A]: llegar a la tienda es para comprar comida.
[EX Q]: Usted puede utilizar un taxi para relajarse entre las islas.
[EX A]: Usted puede utilizar una carretera para viajar entre las islas.
[EX Q]: Un ejército está compuesto de buenas tropas.
[EX A]: | Se dice que un ejército de tropas activas.
| 6 | NIv2 | task417_mickey_es_sentence_perturbation_generation | fs_opt |
instruction:
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].
question:
Verify if the sentiment of the following document towards the entity Tesla is Negative . On November 16 Tesla unveiled its long-anticipated foray into the $726 billion world of trucking: A heavy-duty all-electric rig aptly named “Semi.” The truck itself is wildly impressive in our opinion—a 500-mile range projected fuel savings of $200 000 and the industry’s most advanced levels of automation—but what excites me the most really is the opportunity this truck signifies: The start as I see it of a once-in-a-lifetime radical shift in our trillion-dollar transportation economy.
answer:
no
question:
Verify if the sentiment of the following document towards the entity Meltony Billie is Negative . In interviews before her body was discovered Billie ’s parents said she loved cooking and dreamed of opening a bakery or becoming an executive chef. Meltony Billie said his daughter made him crepes for Father’s Day and described her as “a comical young lady” who also loved dogs especially their 10-year-old Shih Tzu named Rahab.
answer:
no
question:
Verify if the sentiment of the following document towards the entity Anton Morozov is Negative . âThe situation of course demands the swiftest intervention of all interested states particularly those represented in the region in order to prevent wide-scale military action â the agency quoted him as saying.
answer:
| no
| 9 | NIv2 | task422_persent_sentence_sentiment_verification | fs_opt |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese.
Example Input: Ciertamente no está completa.
Example Output: Não está certamente completa.
Example Input: En Rwanda, en las Islas Salomón.
Example Output: no Ruanda, nas Ilhas Salomão.
Example Input: Todos Uds. también forman parte de esta obra de arte.
Example Output: | Vocês também são parte da obra de arte.
| 3 | NIv2 | task1104_ted_translation_es_pt | fs_opt |
instruction:
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.
question:
select the rows whose rank record is equal to 12 . the number of such rows is 6 .
answer:
eq { count { filter_eq { all_rows ; rank ; 12 } } ; 6 }
question:
select the rows whose date record fuzzily matches to 11 october . take the result record of this row . select the rows whose date record fuzzily matches to 19 october . take the result record of this row . the first record is greater than the second record .
answer:
greater { hop { filter_eq { all_rows ; date ; 11 october } ; result } ; hop { filter_eq { all_rows ; date ; 19 october } ; result } }
question:
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 .
answer:
| and { only { filter_eq { all_rows ; method ; draw } } ; eq { hop { filter_eq { all_rows ; method ; draw } ; res } ; draw } }
| 9 | NIv2 | task210_logic2text_structured_text_generation | fs_opt |
In this task, you are given a sentence in the Bulgarian language and corresponding English translation of this sentence. Here, your job is to generate label "yes" if translation is right, otherwise generate label "no".
--------
Question: Bulgarian: Така, както ценяхме нашата валута, започнахме да използваме еврото и мнозинството от словашкото население бързо започва да го възприема също като своя валута., English: We adopted the euro after only five years of membership in the EU and as Prime Minister Fico said on New Year's Day, we could see the euro as a lucky talisman bringing us stability and the potential for Slovakia to develop even more vigorously in this time of economic crisis.
Answer: no
Question: Bulgarian: Ще постигнем истински вътрешен пазар, равни конкурентни условия и голям напредък в опазването на здравето., English: This is wonderful success for consumers and farmers.
Answer: no
Question: Bulgarian: 15., English: 15.
Answer: | yes
| 7 | NIv2 | task273_europarl_classification | fs_opt |
In this task you are given a tweet and you must identify whether the tweet contains any offense or any form of (untargeted) profanity. Label the post as NOT if the post does not contain offense or profanity. Non-offensive posts do not include any form of offense or profanity. label the post as OFFENSIVE if the post contains offensive language or a targeted (veiled or direct) offense. Twitter user mentions were substituted by @USER and URLs have been substitute by URL.
Input: Consider Input: ,...Criminal Complicity in ALL OF THIS MESS! --- Last night, Mr. Gregg Jarrett appeared on Hannity"!,...He is Always Incredible, and He made Another Great point when He reminded All Of US that "Starting an illegitimate Investigation is a Crime"! --- TRUTH IS COMING OUT MUELLER!"
Output: OFFENSIVE
Input: Consider Input: @USER I thought this was SNL. The last guy is wearing a fucking beanie with the mindmill on itS
Output: OFFENSIVE
Input: Consider Input: .@USER talks books + she is giving away a copy of her new book @USER #writerwednesday URL
| Output: NOT
| 2 | NIv2 | task286_olid_offense_judgment | fs_opt |
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."
Input: Consider Input: Beginning: The judges received Benny's food. Middle: Benny had plagiarized a recipe. Ending: As a result, the official disqualified Benny.
Output: Benny had made his own original recipe.
Input: Consider Input: Beginning: Gil was an inattentive driver. Middle: Gil hit a car and broke her own leg. Ending: Gil now speaks publicly about the dangers of texting and driving.
Output: Gil avoided a car and broke her own leg.
Input: Consider Input: Beginning: Jada was thirsty. Middle: She was running her faster 5k ever!. Ending: Then she came home and had her drink.
| Output: She was running her slower 1k ever!.
| 2 | NIv2 | task068_abductivenli_incorrect_answer_generation | fs_opt |
In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that does not connect with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one that makes less sense.
Example Input: Title: Good roll. Sentence 1: I had a California roll today. Sentence 2: It was rather delicious. Sentence 3: I liked the taste of it. Sentence 4: I wanted to have it again. Choices: a. Sam took several pictures of them for his instagram account. b. So I got another one.
Example Output: a
Example Input: Title: Church. Sentence 1: The man started a church. Sentence 2: He had a hard time getting members. Sentence 3: He went door to door in the community. Sentence 4: He seemed like a good man to the people. Choices: a. As a result, he decided to go to the movies alone. b. The church became popular.
Example Output: a
Example Input: Title: Movie night. Sentence 1: Laura wanted to watch some movies with friends. Sentence 2: She invited people over but wasn't sure which movie to watch! Sentence 3: She asked all her friends what they wanted to watch and they told her. Sentence 4: She found that movie and put it in the movie player! Choices: a. Laura told me her movie night with friends was a big success. b. She was rigid with fear, and cursing her carelessness, the whole way.
Example Output: | b
| 3 | NIv2 | task214_rocstories_incorrect_ending_classification | fs_opt |
In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.
Q: Fast excitatory neurotransmission is mediated largely by ionotropic glutamate receptors (iGluRs), tetrameric, ligand-gated ion channel proteins comprised of three subfamilies, AMPA, kainate and NMDA receptors, with each subfamily sharing a common, modular-domain architecture. For all receptor subfamilies, active channels are exclusively formed by assemblages of subunits within the same subfamily, a molecular process principally encoded by the amino-terminal domain (ATD). However, the molecular basis by which the ATD guides subfamily-specific receptor assembly is not known. Here we show that AMPA receptor GluR1- and GluR2-ATDs form tightly associated dimers and, by the analysis of crystal structures of the GluR2-ATD, propose mechanisms by which the ATD guides subfamily-specific receptor assembly.
A: Crystal structure and association behaviour of the GluR2 amino-terminal domain.
****
Q: A method for detecting multidrug-resistant Mycobacterium tuberculosis by using a reduction of resazurin is described. Eighty clinical isolates were evaluated against isoniazid and rifampin; results at 7 days were compared with those of the proportion method. Specificity and sensitivity were excellent. The method is simple, inexpensive, and rapid and might be used with other antituberculosis drugs.
A: Resazurin microtiter assay plate: simple and inexpensive method for detection of drug resistance in Mycobacterium tuberculosis.
****
Q: Previous studies with undergraduates have provided support for the reliability and oblique three-factor structure of a new scale, the Pain Catastrophizing Scale (PCS). We examined the reliability and validity of the PCS in adult community and pain outpatient samples. The PCS showed a high internal consistency in both groups. Using data from the community sample, confirmatory factor analyses showed that the PCS taps a single construct characterized by three related dimensions. Gender differences were obtained on the PCS total score in the community and the outpatient samples. The analyses also showed significant differences between the community and the outpatient samples on the PCS total and subscales. Overall, the results showed strong evidence of criterion-related, concurrent, and discriminant validity for the PCS in the community sample. Limitations of the present study are discussed.
A: | The Pain Catastrophizing Scale: Further Psychometric Evaluation with Adult Samples
****
| 4 | NIv2 | task1586_scifact_title_generation | fs_opt |
instruction:
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".
question:
I purchased these for my candy buffet at my wedding and I'm not impressed at all. I could have saved money by ordering them directly from Oriental Trading Company which is clearly where they came from. they look cheap and they're not as colorful as shown in the picture. the Oriental Trading Company information is on the back of the wrappers on the lollipops. most of the lollipop sticks are bent and two lollipops arrived broken. the box only has 12 lollipops, but in the description it says there's 16. I would have expected that if I knew they were coming from Oriental Trading Company, but that's not in the description, so I feel ripped off.
Polarity: Negative
answer:
True
question:
I bought this for my very smart lab mix rescue when she was about 6 months old. At first she wasn't interested, but once I showed her how it worked, she got down to business. She worked at that toy all day long the first day, thougth she wasn't able to get all the food out. On the second day I gave her the toy, partially filled with kibble and went upstairs. In the 25 minutes she was unsupervised, she got the screw cap off, ate all the kibble, and destroyed the bottle.
Polarity: Positive
answer:
False
question:
The products are wonderful and fresh!! Everything reported about the chips is on target, and I would recommend them to others. Amazon's services are fantastic!!
Polarity: Positive
answer:
| True
| 9 | NIv2 | task587_amazonfood_polarity_correction_classification | fs_opt |
In this task, you are given a sentence in the Hindi language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Q: प्रत्यक्षदर्शियों, तालिबान के सदस्य और अमेरिका और अफगानिस्तान के अधिकारीयों के अनुसार, चिनूक को जाहिरी तौर पर रॉकेट प्रोपेल्ड ग्रेनेड (आरपीजी) द्वारा जानबूझकर निशाना बनाया गया था।
A: According to witnesses, members of the Taliban and officials from the US and Afghanistan, the Chinook was deliberately targeted, apparently by a rocket propelled grenade (RPG).
****
Q: हालांकि Foxconn घरेलू नाम नहीं है, लेकिन इलेक्ट्रॉनिक्स घटकों का सबसे बड़ा उत्पादक है और दुनिया भर में इंजीनियर किए गए इलेक्ट्रॉनिक्स उत्पादों में इसकी छाप है, जो Apple, Hewlett-Packard, Intel और Dell जैसी कंपनियों के लिए उत्पादों का विनिर्माण करती है।
A: Although not a household name, Foxconn is the largest producer of electronics components and badge engineered electronics products in the world, manufacturing products for companies like Apple, Hewlett-Packard, Intel and Dell.
****
Q: विकासशील और विकसित देशों के बीच संभावित गतिरोध के समझौते और सबूत के बिना दो दिन की मंत्रिस्तरीय वार्ता समाप्त हो गई है।
A: | Two days of ministerial talks have ended without agreement and evidence of a possible deadlock between developing and developed countries.
****
| 4 | NIv2 | task433_alt_hi_en_translation | fs_opt |
You are given a target race, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-stereotype is an idea that goes against the widely held but oversimplified notion of a group of people. Sentences and targets are unrelated if there is no relevance between them.
--------
Question: Target: Afghanistan
Afghanistan is located in Asia. It is really not always at war with America.
Answer: anti-stereotype
Question: Target: Cameroon
Cameroon is a country. There is a lot of poverty in the country.
Answer: stereotype
Question: Target: Saudi Arabian
We met the Saudi Arabian family while at the market. They politely greeted us, and the man and woman both outlined their extensive educational backgrounds so we could include their credentials in the article.
Answer: | anti-stereotype
| 7 | NIv2 | task320_stereoset_classification_race | fs_opt |
In this task, you are given a summary for US Congressional and California state bill, your task is to generate a Title for this bill. The preferred titles are under forty words and mention the purpose of the bill.
[EX Q]: Crowdfunding Amendments Act This bill amends the Securities Act of 1933 to allow a crowdfunding issuer to sell shares through a crowdfunding vehicle. (Crowdfunding is a method of capital formation in which groups of people pool money to invest in a company or to support an effort to accomplish a specific goal.) A "crowdfunding vehicle" is defined as a company that: has purposes limited to acquiring, holding, and disposing only one class of crowdfunding securities issued by a single company; receives no compensation for doing so; and meets other specified requirements, including those related to reporting obligations and the use of investment advisers. The bill amends the Investment Advisers Act of 1940 to provide for the registration of crowdfunding vehicle advisers. The bill amends the Securities Exchange Act of 1934 to revise the conditions upon which the Securities and Exchange Commission (SEC) shall exempt securities issued in crowdfunding transactions from registration requirements. Under current law, holders of crowdfunded shares do not count toward the shareholder threshold beyond which an issuer is required to register its securities with the SEC, provided that the issuer: (1) is current in its annual reporting obligations, (2) retains the services of a registered transfer agent, and (3) has less than $25 million in assets. The bill maintains this exemption but alters the conditions upon which it applies. Specifically, holders of crowdfunded shares shall not count toward the shareholder threshold if the issuer has: (1) a public float of less than $75 million, or (2) a public float of $0 and annual revenues of less than $50 million.
[EX A]: Crowdfunding Amendments Act
[EX Q]: Job Impact Analysis Act of 2010 - Amends the Congressional Budget and Impoundment Control Act of 1974 to require the Director of the Congressional Budget Office (CBO) to include in the statement submitted to an authorizing congressional committee for a public bill or joint resolution reported by that committee for which estimated direct costs of all federal intergovernmental mandates, or all federal private sector mandates, will equal or exceed $5 billion (adjusted annually for inflation) estimates of the potential job creation or job loss in state, local, and tribal governments, or in the private sector, as a result of such mandates.
Amends the Regulatory Flexibility Act to require: (1) each initial regulatory flexibility analysis to contain a detailed statement estimating the additional cumulative economic impact of the proposed rule on small businesses; (2) an agency to notify the Chief Counsel for Advocacy of the Small Business Administration (SBA) of any draft rules that may have a significant economic impact on a substantial number of small businesses; (3) each final regulatory flexibility analysis to include the agency's response to any comments filed by the Chief Counsel in response to the proposed rule; and (4) the agency to publish the final regulatory flexibility analysis on its website.
Requires each agency: (1) to place on its website its plan for the periodic review of rules, providing for the review of all agency rules at specified intervals; and (2) in reviewing the rules, to consider specified factors, including the continued need for the rule, the nature of complaints received, and the rule's complexity and current impact.
Requires: (1) the Office of Advocacy of the SBA to carry out responsibilities concerning the analysis of regulatory functions; (2) each federal budget to include a separate statement of the amount requested for the Office, designated in a separate account in the General Fund of the Treasury; and (3) the SBA Administrator to provide the Office with appropriate office space and necessary equipment, operating budget, communications, and maintenance services.
[EX A]: A bill to ensure that the creation of jobs by small businesses is considered during the Federal legislative and rulemaking process, and for other purposes.
[EX Q]: Agricultural Mediation Improvement Act of 1994 - Amends the Agricultural Credit Act of 1987 to expand the types of agricultural issues covered by State mediation programs.
Extends the authorization of appropriations for such programs.
[EX A]: | Agricultural Mediation Improvement Act of 1994
| 6 | NIv2 | task1659_title_generation | fs_opt |
TASK DEFINITION: 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".
PROBLEM: M: So, do you have any special plans for this year? W: Yes, I'm going to join the Drama Club. M: Really? W: Yeah. I'd like to act in the school play. How about you? Are you going to do anything special this year? M: Well, I really want to learn to play the guitar, so I'm going to take music lessons. I'd love to play in a band some day. W: Wow, that's great. M: And I'm going to study a lot this year. I have to get good grades. W: So do I!, Question: What does the woman mean by saying "So do I"?
SOLUTION: She's going to act in the school play.
PROBLEM: W: Bob, are you ready? What on earth are you doing? Don't you know the curtain goes up at exactly seven? M: My shirt's caught in the zipper. Could you give me a hand?, Question: Where are the speakers going?
SOLUTION: The tailor's.
PROBLEM: W: We are informed that the eleven thirty train is late again. M: Why did the railway company even bother to print a schedule?, Question: What do we learn from the conversation?
SOLUTION: | The schedule has been misprinted.
| 8 | NIv2 | task283_dream_incorrect_answer_generation | fs_opt |
TASK DEFINITION: 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 and make it sentence case (capitalize only the first word of each sentence and noun).
PROBLEM: Analysts predict, however, that the leu's surge cannot be stopped and it will continue strengthening against the euro, reaching a rate of 34,000 lei for one euro in the next week.
SOLUTION: हालांकि, विश्लेषकों का अनुमान है कि ल्यू के उछाल को रोका नहीं जा सकता है और यह यूरो के खिलाफ मजबूती जारी रखेगा, अगले सप्ताह में एक यूरो के लिए 34,000 ली की दर तक पहुंच जाएगा।
PROBLEM: President Chirac's confidence among the citizenry is also a record low of 24%.
SOLUTION: नागरिकों के बीच राष्ट्रपति चिरक के भरोसे में भी 24% की रिकॉर्ड कमी आई है।
PROBLEM: Emergency services dispatched search and rescue crews and gave out blankets, food and water.
SOLUTION: | आपातकालीन सेवाओं द्वारा खोज और बचाव दल भियवाया गया और कंबल, भोजन और पानी दिया गया।
| 8 | NIv2 | task432_alt_en_hi_translation | fs_opt |
Given a paragraph, generate a claim that is supported by the given paragraph. 1) The claim must contain information from within the paragraph. 2) A sentence within the paragraph can be used as a claim. 3) The claim should not have contradictions within the paragraph. 4) The claim should be at most one sentence long.
Input: Consider Input: "Lt. Gov. David Dewhurst, campaigning for re-election, tweeted a parody of President Barack Obama promoting his signature health-care law. Around midday Dec. 12, 2013, the official White House Twitter account posted a photo of Obama holding a sign urging Americans to get health coverage because ""nobody should go broke just because they get sick."" Social media denizens started creating versions that rewrote the sign’s text; Dewhurst’s had Obama saying, ""I want more of Texans’ private data."" Some perspective: Texas in 2012 had approximately 19.5 million insured residents and 5.2 million legal residents without insurance according to a March 18, 2013, report by the state Health and Human Services Commission. Does the Obamacare law demand private data on them that wasn't known to the government before? PolitiFact reporters have checked out several claims about how the Affordable Care Act’s online marketplaces will handle personal information. Many of the concerns addressed are about how government agencies will share information they already collect -- and how secure that information will be. As part of a May 2013 fact-check, PolitiFact in Washington, D.C., reported that a federal ""data hub"" resulting from the 2010 law would pull information from government agencies, but not expand federal data collection. For example, the Social Security Administration is asked to verify a person's Social Security number, and the IRS confirms financial data to see if a person is eligible for a subsidy. PolitiFact in D.C. gave a False rating Sept. 19, 2013, to a claim by former New York Lt. Gov. Betsy McCaughey that ""Obamacare will question your sex life,"" finding that nothing in the health care law required such questions. So what information does the government collect under the Obamacare law? If you apply to shop in the federal online insurance marketplace or the marketplace for your state, you’ll supply information on yourself and perhaps family members, some of which the government already has. Healthcare.gov offers a checklist for people preparing to fill out applications, whether online or printed: Social Security number, employer, income, current insurance policy numbers and information about your employer’s insurance plans (if any). Such answers will help determine whether you’re eligible to buy insurance through the marketplaces and if you can get free- or reduced-cost coverage via tax credits, Medicaid or the Children's Health Insurance Program. The standardized family application asks for information on you and everyone who lives with you, including whether you are pregnant and how many babies you’re expecting, whether you have a health condition that limits daily activities, whether you live in a nursing home and whether you were in foster care after age 18. Other questions concern employment, military service, sources of income, tax deductions taken and whether you are American Indian or Alaska Native. A Sept. 18, 2013, fact sheet from the federal Centers for Medicare and Medicaid Services said, ""Personal health information (PHI) will be requested only when it is needed to complete the application and make an eligibility determination for health coverage options."" Health privacy expert Deven McGraw told us by email that the applications do collect some information the government did not already have, but said it’s the same type of information gathered when people apply for public coverage such as Medicaid. ""They are questions that are specifically designed to match eligibility criteria. So none of it is extraneous,"" said McGraw, director of the health privacy project at the Center for Democracy and Technology, which advocates for Internet freedom. And, she said, the data can’t be used for any purposes other than the marketplaces’ functions. More information about you could come, the fact sheet says, from ""common federal data sources including the Social Security Administration (SSA), Internal Revenue Service (IRS), and Department of Homeland Security (DHS)."" Wait -- Homeland Security? According to the National Immigration Law Center’s website, applicants who are not U.S. citizens will have their status verified through a Homeland/U.S. Citizenship and Immigration Service database. Agencies already use the web service, called Systematic Alien Verification for Entitlements (SAVE), to determine immigrants’ eligibility for benefits including Medicaid, housing loans and unemployment. Via email, Social Security spokeswoman Kia Anderson told us her agency can, when CMS needs the information to determine eligibility, provide applicants’ ID numbers, citizenship data, death or disability indicators and Social Security income and coverage earned. So the application process puts together some information the government already had with some it didn’t have. People who aren’t applying to shop in the marketplaces but are subject to the Obamacare law’s mandate will also be sharing some new information with Uncle Sam. The mandate to have or get insurance applies, according to the immigration law center, to all U.S. citizens, naturalized citizens and legal immigrants. Via email, IRS spokeswoman Lea Crusberg said 2014 tax returns will ask whether you have health coverage that meets the new standards or an exemption, whether you got coverage through an Obamacare marketplace and whether you got a tax credit to help defray the cost. The law’s new tax payments and credits will also be on returns, of course. In 2015, Crusberg said, the IRS will start collecting coverage information from insurance providers. Employers who insure their own workers in-house will report which employees are enrolled and give enough information so the IRS can tell if those workers are due a tax credit. Self-insuring employers will also put the cost of the plan they’re providing on W-2 forms so workers can see it. Is the new data ""private"" information? Per the CMS fact sheet, Obamacare applicants could be asked to cough up some personal health information. But the fact sheet also says the marketplaces’ systems ""will not store this information"" -- which casts some doubt on whether the government is really ""collecting"" it, but serves as an indication that it’s considered sensitive. How about when the IRS asks where your insurance comes from, whether you got a tax credit for it and whether it meets the Obamacare law’s standards? Generally, the IRS regards what you put on your tax return as private. For example, tax preparers who disclose such information without your consent can face criminal charges. Final IRS regulations governing who can disclose what tax return information to HHS under the Obamacare law were issued Aug. 13, 2013. An FAQ posted by the IRS that day said that ""officers and employees of the IRS will disclose to HHS, the Marketplace, and state agencies only, upon written request and subject to strict privacy and security rules, certain return information ... for the purpose of determining eligibility for certain health care affordability programs."" Our ruling Dewhurst said Obama wants ""more of Texans’ private data."" The subset of Texans shopping for coverage through the online marketplace are providing additional private data for a reason: to ensure they’re qualified. Dewhurst's statement overlooks these aspects. Regardless, many more Texans will be asked to give the IRS information about their health coverage that was previously not requested. The statement is accurate but needs clarification or additional information."
Output: "In altered photo, says Barack Obama wants ""more of Texans’ private data"" via health care."
Input: Consider Input: Collins, a Republican, introduced the proposal with Democratic Minnesota Sen. Tina Smith. It’s also designed to beef up prevention, diagnostics and treatment for tick-borne diseases, and it’s headed to the full Senate next. The proposal’s named the Kay Hagan Tick Act in honor of former Sen. Kay Hagan of North Carolina who died in October of complications from Powassan virus, a tick-borne infection. Cases of Lyme disease nearly doubled in Maine from 2010 to 2018. Collins describes the surge of tick-borne diseases as a “burgeoning public health crisis.” The proposal would require the U.S. Department of Health and Human Services to develop a national strategy about the diseases.
Output: Collins bill to combat Lyme and other tick diseases moves on.
Input: Consider Input: Keytruda is already approved as a cost-effective treatment in melanoma and the National Institute for Health and Care Excellence also on Dec. 2 approved its use in the treatment of lung cancer patients who had started on chemotherapy, after Merck & Co cut the price further for the NHS. But trial data so far on the survival benefit of Keytruda as an initial lung cancer treatment has not been reliable enough, according to NICE’s draft guidance, which will be subject to public consultation until 21 March. “The exact size of the overall survival gain for Keytruda compared to the current standard of care was uncertain because of the immaturity of the data,” a NICE spokeswoman said. Keytruda has proved effective in fighting non-small cell lung cancer in patients with high levels of a protein called PD-L1, which makes them more receptive to immunotherapy. The average cost of a course of treatment in Britain is around 29,000 pounds ($36,000) at the full list price but the NHS will pay less after getting a confidential discount. ($1 = 0.8042 pounds)
| Output: UK rejects Merck's Keytruda as initial treatment for lung cancer.
| 2 | NIv2 | task1368_healthfact_sentence_generation | 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 the Head is capable of the Tail or not. Being capable of something includes general capabilities, such as a human is capable of thinking and reasoning or drinking coffee. It also includes specialized capabilities such as a surgeon is capable of operating on a patient. 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: high school freshman<sep>Tail: study romeo juliet
Yes
Head: PersonX accidentally put<sep>Tail: unaware
No
Head: PersonX aces PersonX's exam<sep>Tail: To study
| No
| 0 | NIv2 | task1215_atomic_classification_capableof | fs_opt |
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
[EX Q]: 26, 28, ['5639', '1847', '397', '5531', '4831', '3631', '9753', 'R', 'P', '1083', 'n', '2983', '5863', '9739', 'E', 'I', 's', 'a', 'O', 'v', 'b', '9579', '5449', 's', 'S', 'I', 'S', '5525', 'S', 'm']
[EX A]: I, S, 5525
[EX Q]: 2, 2, ['G', '8879', '8393', 'B', '6125', 'j', 'U', 'j', '5067', '2845', 'B', 'z', 'N', 'm', 'g', '8981', 'p', '6595', '8505', '97', '4021', 'o', 'l']
[EX A]: 8879
[EX Q]: 19, 21, ['H', '5185', '6437', 'F', '8171', 'g', 's', 'W', 'l', '1523', '6139', 'T', '8485', '5221', 'j', '1689', 'n', '6161', '6949', '2581', 'G', '1349', 'V']
[EX A]: | 6949, 2581, G
| 6 | NIv2 | task091_all_elements_from_index_i_to_j | fs_opt |
In this task, you're given an article, a question which often contains a blank, four options (associated with "A", "B", "C", "D") and the answer to that question. Your task is to classify whether the given answer is correct or not by providing "Yes" or "No", based on the article.
Q: Article: The teaching of physics in schools is in danger of dying out unless urgent action is taken to deal with a serious lack of teachers, the government is warned today. The number of students taking physics at A-level has fallen 38% since 1990, according to a research. At the same time the number of mew physics teachers has dropped sharply while the shortage is likely to worsen as older teachers retire. prefix = st1 /Britain's leading scientists and engineers expressed alarm over the findings, which they say are part of the problems in science education generally. Lord May of Oxford, president of the Royal Society, theUK's National Academy of Science, said, "The problems facing science at A-level are well beyond physics. We have over and over again noted the general downward trend of students studying the sciences beside biology and math at A-level. If we fail to deal with this then we may lose the ability to train the next generation of scientists, technologists and engineers." Alan Smithers and Pamela Robinson, who did the research in 432 schools and colleges inEnglandandWales, said that since 1990, the number of physics students had fallen by 38%, from 45,334 to 28,119. Nearly 10% of state schools now do not offer A-level physics, and of those that do 39.5% had five students or fewer taking it this year. Over the same period, the research discovered, the number of people who are allowed to become physics teachers dropped from about a third of the science total to 12.8%. The supply of physics teachers is not _ itself, with nearly twice as many aged over 50 as 30 or younger. Another danger is the redefinition of science subjects to "general science". Professor Smithers and Dr Robinson warn that the subject is in danger of dying out in schools." Physics in schools and colleges is at risk through redefinition and lack of teachers with expertise in the subject," they said. "If physics is to survive in schools, both as basic education and as a platform for higher level study and research, there is a need for immediate action."
Question: From what Lord May of Oxford said, we can learn that _ .
Options: (A) he worries about the future of science education. (B) the top scientists have not noticed the problem until recently. (C) the UKhas lost the ability to train scientists and engineers (D) biology and math do not face the same problems as physics.
Asnwer: C
A: No
****
Q: Article: Sir, The majority(=Most) of your readers must have been surprised and shocked to read a letter from Mr.R.Hogg,published in last Wednesday's Herald.Mr.Hogg seems to think that his own convenience and that of motorists in general are the only things that matter in our city. I would have supported Mr.Hogg if he had just made suggestions to improve the situation.No doubt his problems would be partly solved if the local government built a multi-storey car park in the city center,instead of encouraging motorists to use public transport.All the same,judging from the tone of Mr.Hogg's letter,I suspect that motorists who are so careless of pedestrians' safety that they would rather park their ears on the pavement than hold up the traffic would probably be too lazy to use a multi-storey car park if they had to walk a few hundred yards to their destination afterwards. My main reason for writing,however,is much more important.Does Mr.Hogg realize that,according to figures showed by the Department of Transport,13,000 people were knocked down in Britain last year because of ears being illegally parked either on the pavement or on crossings? In fact,although the total pedestrian casualty rate has fallen over the last ten years,there has been an increase in accidents caused when pedestrians have to step out into the mad to avoid parked cars on the pavement and cannot see oncoming traffic. I cannot share Mr.Hogg's view that the government have paid little attention to"long-suffering motorists":and I think the punishment for dangerous parking should be made severe enough to stop all motorists from breaking the law in this way. A WALKER, Proudfoot Lane,Carchester
Question: The letter above is written in answer to the letter by _ .
Options: (A) art editor (B) a certain Mr.R.Hogg (C) some readers (D) some motorists
Asnwer: A
A: No
****
Q: Article: An old man lived in a certain part of London, and he would wake up every morning and go to the subway. He would get the train right to Central London, and then sit at the street corner and beg. He would do this every single day of his life. He sat at the same street corner and begged for almost 20 years. His house was dirty, and the bad smell coming out of the house was horrible. The neighbors could not stand the smell any more, so they asked the police officers to clear the place. The officers knocked down the door and cleaned the house. There were small bags of money all over the house that he had collected over the years. The police counted the money, and they soon realized that the old man was a millionaire . They waited outside his house expecting to share the good news with him. When the old man arrived home that evening, one of the officers told him that there was no need for him to beg any more as he was a rich man now, a millionaire. But the old man said nothing at all; he went into his house and locked the door. The next morning he woke up as usual, went to the subway, got into the train and sat at the street corner and continued to beg. Clearly, this old man had no great plans, dreams or anything significant for his life. We learn nothing from this story other than staying focused on the things we enjoy doing. What makes us happy is what matters in the end, not what we acquire.
Question: Why did the police officers clear the old man's house?
Options: (A) Because the old man had no time to clear it himself. (B) Because the neighbors of the old man asked them to do. (C) Because they couldn't stand the terrible smell. (D) Because the police officers were kind-hearted.
Asnwer: D
A: | No
****
| 4 | NIv2 | task310_race_classification | fs_opt |
Predict the next word given an incomplete English Sentence.
Q: still when he recollected
A: the
****
Q: take it to your master madame will await my return yes
A: go
****
Q: bordered with wild rose bushes it's no wonder matthew and marilla are both a little odd living away back here by themselves trees aren't much company though dear knows if they were there'd be enough of them i'd ruther
A: | look
****
| 4 | NIv2 | task963_librispeech_asr_next_word_prediction | fs_opt |
instruction:
Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.
question:
What is the US state capital of Iowa?
answer:
des moines
question:
Who starred with Bette Davis in the 1962 film Whatever Happened To Baby Jane?
answer:
joan crawford
question:
Who wrote the novel Evening Class?
answer:
| maeve binchy
| 9 | NIv2 | task898_freebase_qa_answer_generation | fs_opt |
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".
Input: Consider Input: Japanese: 今の若い１０代の女の子は、テレビをつけて、Wリーグを見て、ヒーローを追いかけるという選択肢があります。
Thai: วัยรุ่นหญิงสมัยนี้ สามารถเปิดโทรทัศน์เพื่อดู สโมสรดับเบิ้ลยู และตามผู้เล่นที่พวกเขาชื่นชอบได้
Output: Yes
Input: Consider Input: Japanese: プリマー教授はこの本の101の質問について「これらは子供が教師に問うべき質問だ。もし教師が答えられたら、子供はその問題に何らかの知識を得るかもしれないのだから」と語った。
Thai: ศาสตราจารย์ไพลเมอร์ กล่าวถึงคำถาม 101 ข้อในหนังสือของเขาว่า "มันเป็นคำถามที่เด็กๆควรจะถามอาจารย์ของพวกเขา เพราะถ้าอาจารย์สามารถตอบได้นั่นหมายความว่าอาจารย์มีความรู้เกี่ยวกับเรื่องนั้นๆ"
Output: Yes
Input: Consider Input: Japanese: ユタ州の知事、ジョン・ミード・ハンツマンは、「他の誰かを救うのに命を捧げる人より献身的なものはない」と言い、亡くなった救助隊に敬意を表した。
Thai: "ผมได้พยายามทำให้ประเทศนี้มีความปลอดภัย และพวกเรากำลังมุ่งหน้าต่อไปยังมิชิแกน และเซาท์ แคโรไลนาเพื่อเอาชนะการเสนอชื่อ" กล่าวโดยนายแมคเคน
| Output: No
| 2 | NIv2 | task1129_alt_ja_th_answer_generation | fs_opt |
In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every odd number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no odd numbers in an inner list you should output 0 for that list.
Q: [[29, 26, 48], [21, 41], [31, 43, -10, -45], [24, -30, -25], [1, 14, -14, 32], [33, 27, 35, 49], [1, 0, -4, 42, -18], [2, 0], [-49, 38, 16, 44], [42, 33, 40, -43, -9]]
A: [29, 861, -59985, -25, 1, 1528065, 1, 0, -49, 12771]
****
Q: [[27, -49, -15, -10], [-15, 0, -3, -19], [-28, 26, -36, -39, 12], [50, 38, 44], [-41, 39, -29, -35, 5], [36, 7], [21, 7], [30, -35, -15]]
A: [19845, -855, -39, 0, -8114925, 7, 147, 525]
****
Q: [[-47, 49, 21, 9, 32], [47, 42], [42, 8, 8, -34, -25], [-9, 38, -9, 20, -26], [41, -29], [21, 6, 24, -10], [-35, 30, -43, 48], [-13, 20], [-25, 24], [37, -21, 12, -24], [-18, -26, -43, 2], [14, 6, -5, -18], [31, -17], [30, 25, 26]]
A: | [-435267, 47, -25, 81, -1189, 21, 1505, -13, -25, -777, -43, -5, -527, 25]
****
| 4 | NIv2 | task852_synthetic_multiply_odds | fs_opt |
instruction:
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.
question:
the maximum population ( 2010 census ) record of all rows is 241528 . the district record of the row with superlative population ( 2010 census ) record is sampaloc .
answer:
and { eq { max { all_rows ; population ( 2010 census ) } ; 241528 } ; eq { hop { argmax { all_rows ; population ( 2010 census ) } ; district } ; sampaloc } }
question:
select the rows whose player record fuzzily matches to adam voges . take the runs record of this row . select the rows whose player record fuzzily matches to callum ferguson . take the runs record of this row . the first record is greater than the second record .
answer:
greater { hop { filter_eq { all_rows ; player ; adam voges } ; runs } ; hop { filter_eq { all_rows ; player ; callum ferguson } ; runs } }
question:
select the rows whose municipality record fuzzily matches to tecate . take the area ( km2 ) record of this row . select the rows whose municipality record fuzzily matches to tijuana . take the area ( km2 ) record of this row . the first record is greater than the second record .
answer:
| greater { hop { filter_eq { all_rows ; municipality ; tecate } ; area ( km2 ) } ; hop { filter_eq { all_rows ; municipality ; tijuana } ; area ( km2 ) } }
| 9 | NIv2 | task210_logic2text_structured_text_generation | fs_opt |
In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
[EX Q]: I really like this granola - their hemp granola is my favorite. REALLY good stuff. However - it's just too sweet for my taste. Most granola is dreadfully sugar-laden, and other than the healthy ingredients, I feel like I'm chomping on some commercial-grade grocery store sugar cereal... -___- That said, the texture is very satisfying and it is tasty. Just a bit sweet. You've been warned.. ;)
[EX A]: 3
[EX Q]: The Good: Walker shortbread cookies are my favorite, I love them. I bought the highlanders and each set of cookies came individually wrapped with two cookies each. If this were the end of it, a five star review. The Bad: Unfortunately, Amazon shipped them in a box that was about the same size as the container they came in from the Walkers cookie company. After UPS was through with the shipment, my cookies were reduced to crumbs. I contacted Amazon about this problem without ever receiving a response. Since I bought these "Shipped and Sold by Amazon", I won't be purchasing these cookies from Amazon again.
[EX A]: 2
[EX Q]: My child was exclusively breastfed for 4 1/2 months and I gradually introduced Similac Organic formula to supplement (my breastmilk started to dry up). She found this was so much easier to eat she gave up on me by 5 1/2 months. By the time I completely stopped nursing she was so constipated from the formula that I switched. She winced and cried and worked so long to just produced a hard ball the size of ping pong ball. It was horrible! I realized I was the one helping her poo with nursing and then she lost all ability when she went full-formula. I say switch....
[EX A]: | 1
| 6 | NIv2 | task588_amazonfood_rating_classification | fs_opt |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
Example Input: 今日我々は男女のバランスがとれた報道局となりました
Example Output: و امروز ما از بالانس جنسیتی بیشتری در اتاق خبر برخورداریم.
Example Input: ともあれ
Example Output: اهمیتی نداره.
Example Input: あの親指をつかんでください ！
Example Output: | آن دست را بگیر!
| 3 | NIv2 | task1098_ted_translation_ja_fa | fs_opt |
In this task, you are given a question and answer options for that question. Using this information, you have to classify each text into different topics: medicine, nursery, psychology, chemistry, pharmacology, biology.
[EX Q]: Question: In accounting, which of the following elements should be included in the LIABILITIES of an estate?
Options: <0> Credits in favor of third parties. <1> Quantities that customers owe. <2> Money in banks. <3> Money in credit institutions. <4> The store.
[EX A]: pharmacology
[EX Q]: Question: Acetylsalicylic acid is a compound whose pKa is 3.5. What percentage of a dose of this product can be absorbed in the stomach fasting (pH 1.5)?
Options: <0> Less than 10% <1> Between 10% and 20%. <2> More than 90% <3> Between 20% and 40%. <4> 50%
[EX A]: pharmacology
[EX Q]: Question: A karyotype 45, XX, rob (15; 21) (q10; q10) can correspond to:
Options: <0> A girl with Down syndrome with a Robertsonian translocation. <1> A girl with Angelman syndrome. <2> A healthy woman with a Robertsonian translocation. <3> A healthy woman with Turner syndrome. <4> A healthy male carrier of a Robertsonian translocation.
[EX A]: | biology
| 6 | NIv2 | task1434_head_qa_classification | fs_opt |
Given a sentence, generate what should be the most likely next statement. The next statement should be reasonable and logically correct.
[Q]: A woman walks in front of the piano to watch the man play the piano. The woman
[A]: applauds shyly after he finishes.
[Q]: A man is parasailing on the ocean. Other people also
[A]: begin sailing in the water, some falling over.
[Q]: Another play is a set of pipes. Two men
[A]: | then talk to each other.
| 5 | NIv2 | task453_swag_answer_generation | fs_opt |
You are given a sentence and a question in the input. If the information provided in the sentence is enough to answer the question, label "Yes", otherwise label "No". Do not use any facts other than those provided in the sentence while labeling "Yes" or "No". There are only two types of valid responses: Yes and No.
[EX Q]: Sentence: If Todd wanted to try and get to the rock, his dad would follow him there to make sure he was safe.
Question: How long was it before Todd made it to the rock?
[EX A]: No.
[EX Q]: Sentence: There once was a pumpkin.
Question: How did the pumpkin escape the garden?
[EX A]: No.
[EX Q]: Sentence: He told his dad, There's nothing to do!.
Question: Why did Andrew read the newspaper with his dad?
[EX A]: | No.
| 6 | NIv2 | task050_multirc_answerability | fs_opt |
In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write the required POS tag answering the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposition or subordinating conjunction, JJ: Adjective, JJR: Adjective, comparative, JJS: Adjective, superlative, LS: List item marker, MD: Modal, NN: Noun, singular or mass, NNS: Noun, plural, NNP: Proper noun, singular, NNPS: Proper noun, plural, PDT: Predeterminer, POS: Possessive ending, PRP: Personal pronoun, PRP$: Possessive pronoun, RB: Adverb, RBR: Adverb, comparative, RBS: Adverb, superlative, RP: Particle, SYM: Symbol, TO: to, UH: Interjection, VB: Verb, base form, VBD: Verb, past tense, VBG: Verb, gerund or present participle, VBN: Verb, past participle, VBP: Verb, non-3rd person singular present, VBZ: Verb, 3rd person singular present, WDT: Wh-determiner, WP: Wh-pronoun, WP$: Possessive wh-pronoun, WRB: Wh-adverb
[EX Q]: What is the part-of-speech tag of the word "country" in the following question: how many winners does the country situated on the Iberian Peninsula have ?
[EX A]: NN
[EX Q]: What is the part-of-speech tag of the word "school" in the following question: The bus route that serves a school formerly known as The Ravenscroft School ends in which town ?
[EX A]: NN
[EX Q]: What is the part-of-speech tag of the word "by" in the following question: When was the boat commanded by the oldest korvettenkapitän launched ?
[EX A]: | IN
| 6 | NIv2 | task382_hybridqa_answer_generation | fs_opt |
Given the sentence, generate "yes, and" response. "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..."). 1 In short, a "Yes, and" is a dialogue exchange in which a speaker responds by adding new information on top of the information/setting that was constructed by another speaker. Note that a "Yes, and" does not require someone explicitly saying 'yes, and...' as part of a dialogue exchange, although it could be the case if it agrees with the description above. There are many ways in which a response could implicitly/explicitly agree to the prompt without specifically saying 'yes, and...'.
Beth, that woman looks like Alyssa's friend who left not long after the stoning. But she's got a different attitude.
God damn it. Excuse me, are you that fucking tree possessing another fucking person?
Fine. Fifty dollars each. A wall, some stairs. The list is getting long.
It's my birthday.
Kill him! We'll bury him where I buried my husband.
| At this point, Ms. Charlile, I'm going to remind you that anything you say can and will be used against you, especially stuff like "Kill him! We'll bury him next to my husband."
| 0 | NIv2 | task360_spolin_yesand_response_generation | fs_opt |
In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lists.
Ex Input:
[[-20, -79, 59, 63, -135, -96, -190], [-42, -144, -87, -33], [-109, -128, 25, 43, -50], [49, 68, -161, -180]]
Ex Output:
[63, -33, 43, 68]
Ex Input:
[[-23, 87, 95, -187, -123], [31, 60, 34, -168], [-29, 31, -37], [-163, -122], [-99, 66], [84, 42, -124, 20, -1], [-4, -190, -150, -150, -49, -20, 17]]
Ex Output:
[95, 60, 31, -122, 66, 84, 17]
Ex Input:
[[-162, -64], [-42, -32, 49], [-87, -107, 36, -134, -80, -199, 20], [59, 43, -181, -96, 100, -55, -172], [-71, -47, 19, -79, -184], [-2, 2, -151, -86, 63, 70], [-191, -119, -49, -186, -137]]
Ex Output:
| [-64, 49, 36, 100, 19, 70, -49]
| 1 | NIv2 | task207_max_element_lists | fs_opt |
instruction:
Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels (reason) = [NO_DIFF (correct), CASE_DIFF (case error), PUNCUATION_DIFF (punctuation error), CASE_AND_PUNCUATION_DIFF (both case and punctuation error), STEM_BASED_DIFF (stem word error), DIGIT_DIFF (digit error), INTRAWORD_PUNC_DIFF (intra-word punctuation error), and UNKNOWN_TYPE_DIFF (an error that does not corrrespond to the previous categories)].
question:
["we're", 'in', 'the', 'moment', 'stores', 'looking', 'at', 'the', 'symbolic', 'representation', 'in', '1913', 'of', 'industrial', 'progress', 'and', 'technology', 'by', 'Ludwig', 'Hoeven', 'who', 'was', 'based', 'in', 'Munich', 'and', 'was', 'at', 'the', 'forefront', 'of', 'a', 'movement', 'known', 'as', 'the', 'placard', 'steel', 'which', 'gave', 'prominence', 'to', 'the', 'product', 'being', 'advertised', 'using', 'the', 'most', 'economic', 'of', 'means', 'and', 'and', 'colors', 'and', 'you', 'can', 'see', 'how', "he's", 'really', 'exploited', 'the', 'tonalities', 'of', 'the', 'sea', 'and', 'sky', 'to', 'create', 'this', 'dramatic', 'composition', 'of', 'interlocking', 'shapes', "it's", 'supposed', 'to', 'lithographically', 'printed', 'in', 'Munich', 'and', 'it', 'advertises', 'the', 'machine', 'tools', 'produced', 'by', 'sheaths', 'sheaths', 'were', 'the', 'main', 'supplier', 'for']
answer:
['NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'UNKNOWN_TYPE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'UNKNOWN_TYPE_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'UNKNOWN_TYPE_DIFF', 'UNKNOWN_TYPE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'UNKNOWN_TYPE_DIFF', 'UNKNOWN_TYPE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF']
question:
['what', 'I', 'want', 'to', 'do', 'in', 'this', 'video', 'is', 'give', 'a', 'very', 'high-level', 'overview', 'of', 'the', 'four', 'fundamental', 'forces', 'four', 'fundamental', 'forces', 'of', 'the', 'universe', 'and', "I'm", 'going', 'to', 'start', 'with', 'gravity', "I'm", 'going', 'to', 'start', 'with', 'gravity', 'and', 'it', 'might', 'surprise', 'some', 'of', 'you', 'that', 'gravity', 'is', 'actually', 'the', 'weakest', 'of', 'the', 'four', 'fundamental', 'forces', "that's", 'surprising', 'because', 'you', 'say', 'wow', "that's", 'what', 'keeps', 'us', 'glued', 'not', 'glued', 'but', 'it', 'keeps', 'us', 'from', 'jumping', 'off', 'the', 'planet', "it's", 'what', 'keeps', 'the', 'moon', 'in', 'orbit', 'around', 'the', 'earth', 'the', 'earth', 'in', 'orbit', 'around', 'the', 'Sun', 'the', 'Sun', 'in', 'orbit', 'around']
answer:
['CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'CASE_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF']
question:
["we've", 'already', 'used', 'innerhtml', 'quite', 'a', 'bit', 'here', 'but', 'I', 'want', 'to', 'quickly', 'show', 'you', 'a', 'little', 'more', 'about', 'it', 'first', "let's", 'look', 'at', 'our', 'example', 'right', 'here', '', 'we', 'were', 'set', 'innerhtml', 'I', 'just', 'passed', 'in', 'a', 'string', 'all', 'about', 'cats', 'but', 'in', 'fact', 'I', 'could', 'put', 'HTML', 'tags', 'inside', 'that', 'string', 'so', 'I', 'could', 'surround', 'cats', 'with', 'EM', 'tags', 'and', 'you', 'can', 'see', 'it', 'shows', 'up', 'emphasized', 'or', 'down', 'here', 'where', 'I', 'change', 'dog', 'to', 'cat', 'I', 'could', 'surround', 'this', 'with', 'strong', 'ties', 'and', 'it', 'shows', 'up', 'strong', 'bold', 'I', 'could', 'even', 'write', 'an', 'image', 'tag', 'inside', 'here']
answer:
| ['CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'UNKNOWN_TYPE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'UNKNOWN_TYPE_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'UNKNOWN_TYPE_DIFF', 'UNKNOWN_TYPE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'UNKNOWN_TYPE_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF']
| 9 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | fs_opt |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into English.
Example Input: 他の場所に住んでいてアメリカまで行けないという人からこのアルバムを聴いてみたいという問い合わせがくることもあります
Example Output: We're sometimes contacted by people in other parts of the world who can't travel to the United States, but would like to hear this record.
Example Input: おそらく生物工学は最も期待され最も急速に進歩している技術分野です
Example Output: Biotech is probably the most powerful and the fastest-growing technology sector.
Example Input: インドでは3分に一度レイプが起こっています
Example Output: | In India there is a rape every three minutes.
| 3 | NIv2 | task1222_ted_translation_ja_en | fs_opt |
In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned. Zero should be counted as an even number.
[Q]: [9, 30, 161, 25, 163, 128, 160, 171, 20, 160]
[A]: [9, 161, 25, 163, 171]
[Q]: [82, 117, 28, 191, 28, 78]
[A]: [117, 191]
[Q]: [182, 79, 122, 153]
[A]: | [79, 153]
| 5 | NIv2 | task205_remove_even_elements | fs_opt |
TASK DEFINITION: In this task, you are given Wikipedia articles on a range of topics as passages and a question from the passage. We ask you to answer the question by classifying the answer as 0 (False) or 1 (True)
PROBLEM: Passage: Rogue One -- Rogue One: A Star Wars Story, or simply Rogue One, is a 2016 American space opera film directed by Gareth Edwards. The screenplay by Chris Weitz and Tony Gilroy is from a story by John Knoll and Gary Whitta. It was produced by Lucasfilm and distributed by Walt Disney Studios Motion Pictures. It is the first installment of the Star Wars Anthology series, set immediately before the events of A New Hope, and follows a group of rebels on a mission to steal the plans for the Death Star, the Galactic Empire's superweapon. The cast includes Felicity Jones, Diego Luna, Ben Mendelsohn, Donnie Yen, Mads Mikkelsen, Alan Tudyk, Riz Ahmed, Jiang Wen, and Forest Whitaker.
Question: is rogue one a part of star wars
SOLUTION: 1
PROBLEM: Passage: Next of kin -- In some legal systems, rights regarding inheritance (which imply a decision-making capacity -- for example, in a medical emergency -- where no clear will or instructions have been given, and where the person has no spouse) flow to the closest relative (regardless of the age, with a representative appointed if a minor), usually a child, a parent or a sibling. However, there are people without any close adult relatives and, in such a case, decision-making power often flows to a niece or nephew, first cousin, aunt or uncle, or grandparent.
Question: can my mother be my next of kin
SOLUTION: 1
PROBLEM: Passage: List of most-viewed YouTube videos -- By June 21, 2015, only two videos, ``Gangnam Style'' and ``Baby'', had exceeded one billion views. However, three and a half months later, on October 7, ten videos had done so. As of June 2018, all the videos on the list of the 100 most-viewed have exceeded one billion views, with 22 of them exceeding two billion views; six of which exceed three billion views and one of which exceeds five billion views. ``Despacito'' became the first video to reach three billion views on August 4, 2017, followed by ``See You Again'' on August 6, 2017, and then on November 25, 2017, ``Gangnam Style'' became the third video to hit three billion views. ``Despacito'' also became the first video to reach four billion views on October 11, 2017, and then on April 5, 2018, became the first video to hit five billion views.
Question: is there a video on youtube with 1 billion views
SOLUTION: | 1
| 8 | NIv2 | task1661_super_glue_classification | fs_opt |
This task is about translating a given English language sentence to Yoruba language.
--------
Question: It was not easy for me to choose which way to go and what to do”
Answer: Kò rọrùn fún mi láti mọ ohun tí màá ṣe tàbí ibi tí màá lọ báyìí".
Question: The lazy person replies “yes” to all propositions.
Answer: Ọ̀lẹ́ fi ọ̀ràn gbogbo ṣe “hòo.”
Question: This sadistic torture lasted for about two hours.
Answer: | Ó dunni gan-an pé nǹkan bíi wákàtí méjì gbáko ni wọ́n fi hùwà ìkà burúkú yìí sáwọn ará wa.
| 7 | NIv2 | task1685_menyo20k_translation | fs_opt |
In this task, you need to count the number of words in a sentence that start with the given letter. Answer with numbers and not words.
Example Input: Sentence: 'a group of people sitting at a long table in a wine cellar'. How many words start with the letter 'a' in the sentence.
Example Output: 4
Example Input: Sentence: 'a cat sitting next to boxes of produce sitting in front of a store'. How many words start with the letter 's' in the sentence.
Example Output: 3
Example Input: Sentence: 'a group of people about to enjoy a dessert'. How many words start with the letter 'a' in the sentence.
Example Output: | 3
| 3 | NIv2 | task162_count_words_starting_with_letter | fs_opt |
In this task, you need to answer basic science questions. For each question, several terms are intentionally masked with ***. This masking can cover very few or many of the question words. Clearly, if masked terms are important, the modified question will be impossible to answer. Please indicate the correct answer with one of the following responses: "A", "B", "C", "D" or "E". While "A"-"D" correspond to the answer options provided in the input, "E" represents "I don't know" for questions that do not provide enough information. Respond via "E" if the question is not answerable. Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D', 'E'.
Input: Consider Input: Question: A company that makes fences started using a new *** instead of wood. The new *** will last longer than wood. What is the most likely *** of the new material? (A) The new material will keep people safe. (B) The new material will keep pets contained. (C) The new material can make a yard attractive. (D) The new material can save money on replacements.
Output: D.
Input: Consider Input: Question: Electricity to play your radio can be made using *** or nonrenewable resources. Which of the following resources are renewable? (A) wind and oil (B) wind and sunlight (C) natural gas and oil (D) natural gas and coa.
Output: B.
Input: Consider Input: Question: Carlos puts a new battery into a radio. What does the battery supply to the radio that makes it turn on? (A) friction (B) electricity (C) a sound wave (D) a magnetic fiel.
| Output: B.
| 2 | NIv2 | task043_essential_terms_answering_incomplete_questions | 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'.
Example Input: Which 2008 Western film starred Ed Harris and Viggo Mortensen as lawmen, Jeremy Irons as a rancher and Renee Zellweger as a piano-playing widow?
Example Output: film
Example Input: Which car manufacturer produces the models Sandero and Duster?
Example Output: automotive
Example Input: Velma Kelly and Billy Flynn are two of the leading characters in which 2002 musical?
Example Output: | film
| 3 | NIv2 | task900_freebase_qa_category_classification | fs_opt |
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]: What are some of the best websites to watch and download anime?
[EX A]: What are the best sites to watch TV shows?
[EX Q]: Which is the best data science training institute in NCR?
[EX A]: Which institute is best for data science course (pref. classroom training) in Bangalore?
[EX Q]: How can I deal with a close-minded manager?
[EX A]: | How do I deal with close minded teachers?
| 6 | NIv2 | task1345_glue_qqp_question_paraprashing | fs_opt |
In this task, you're given a four sentences of story written in natural language. Your job is to complete end part of the story by predicting appropriate last sentence which is coherent with the given sentences.
Example Input: Sentence1: Harold was a mailman doing his job. Sentence2: He had one package with a mysterious address. Sentence3: Harold looked all over town, but could not find the house. Sentence4: He went to his van and looked it up in his database.
Example Output: Harold found the address was correct but the city was not.
Example Input: Sentence1: Gina had spilled her jewelry all over the floor. Sentence2: She gathered the jewelry and put it away. Sentence3: Then she realized one of her earrings was missing its match. Sentence4: She looked for an hour, but it was no where to be seen.
Example Output: Gina was sad to have lost one of her favorite earrings.
Example Input: Sentence1: Chad needed to find a dress for his daughter. Sentence2: Chad took his daughter to Target to try on a dress. Sentence3: Once the dress was on, he knew the dress was the one. Sentence4: Chad's daughter loved the dress as well.
Example Output: | Chad was glad to find a dress for his daughter today.
| 3 | NIv2 | task105_story_cloze-rocstories_sentence_generation | fs_opt |
TASK DEFINITION: Given news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news headlines into "Funny" and "Not Funny" that have been modified by humans using an edit word to make them funny.
PROBLEM: News Headline: Trump Reportedly Wants Pentagon To Stage Military {Parade} Down Pennsylvania Ave.
Edit: attack
SOLUTION: Funny
PROBLEM: News Headline: There is still a way to {break} Trump ’s will
Edit: enter
SOLUTION: Not Funny
PROBLEM: News Headline: Obamacare architect , after meeting with {Trump} , expresses a sliver of hope about the GOP approach
Edit: psychic
SOLUTION: | Funny
| 8 | NIv2 | task495_semeval_headline_classification | fs_opt |
You are given a question-answer pair. Answer with their type. Pay attention that there may be more than one correct type, but you only have to choose one. In your responses, use of the following types:
(1) Humans: Any individual or group of humans, including fictional ones (e.g., a group or organization of persons , an individual, title of a person, description of a person);
(2) Event: Any phenomenon natural or artificial (e.g., named hurricanes, Battles, Wars, Sports events, Terrorist attacks);
(3) Entity: A thing with distinct and independent existence (Animals, Organs of body, Colors, Inventions, books and other creative pieces, Currency name, Diseases, and medicine, Food, Musical instrument, Languages, Plants, Products, Religions, Sports, Elements and substances, Symbols and signs, Techniques and methods, Equivalent terms, Vehicles);
(4) Facility: Something built for a particular purpose (Buildings, Airports, Highways, Bridges);
(5) Location: A place (Cities, Countries, Mountains, States);
(6) Law: Named documents made into laws (e.g., “the first amendment”, "civil rights act");
(7) Organization: an organized body of people with a particular purpose (Company names, e.g. Google, Cults or terrorist groups, e.g. Al Qaeda);
(8) Date: Absolute or relative dates or periods, bigger than 1 day (Years, Range, e.g. from Monday to Tuesday, or during the 20th century, Approximate time);
(9) Time: Any temporal range/unit that is shorter than a day (e.g., 2 o'clock, 1 pm);
(10) Money: Monetary values, including unit (e.g., "$26", "914$");
(11) Quantity: postcodes or other codes, the number of sth, Ranks, fractions, speed, temperature, size, area, and volume, weight (e.g., "26 degree" "17 inch");
(12) Description: description and abstract concepts (e.g., the definition of something, the manner of an action, reasons);
(13) Abbreviation: expression abbreviated (e.g., AMT = abbreviation of Amazon Mechanical Turk). Don't generate any word that is not mentioned in the list of types (Humans, Event, Entity, Facility, Location, Law, Organization, Date, Time, Money, Quantity, Description, Abbreviation). If you can not associate any of the given types with the provided question and answer pair, respond "Other".
[Q]: Question: Which Emporio Armani fragrance did Beyoncé promote in 2007? (Answer: Diamonds).
[A]: Entity.
[Q]: Question: When did the results show happen? (Answer: the following night).
[A]: Date.
[Q]: Question: In order for a genocide classification to happen, a major part of a group has to be what? (Answer: destroyed).
[A]: | Humans.
| 5 | NIv2 | task046_miscellaneous_question_typing | fs_opt |
Given the sentence, generate "yes, and" response. "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..."). 1 In short, a "Yes, and" is a dialogue exchange in which a speaker responds by adding new information on top of the information/setting that was constructed by another speaker. Note that a "Yes, and" does not require someone explicitly saying 'yes, and...' as part of a dialogue exchange, although it could be the case if it agrees with the description above. There are many ways in which a response could implicitly/explicitly agree to the prompt without specifically saying 'yes, and...'.
Did you find this dog in the woods?
I did. I wanted an exotic dog that I could show off with. Someone told me to go to the middle of the woods.
You have to bet on them. You can't just lay the money on the horses.
Well now I know that. I lost 100 million dollars when I put it on its saddle and it galloped all the way to the bank.
You'll forgive me for saying so, but you have a reputation for being very nosy.
| Some say that, but, I like to know what's going on in the area in which I live.
| 0 | NIv2 | task360_spolin_yesand_response_generation | fs_opt |
instruction:
In this task, you are given an utterance, which is a part of a conversation between a user and an agent. Your job is to detect the speaker. The user usually commands the agent to schedule events, retrieve event information, and check the schedule. While the agent's response is an answer to the user's questions or follow-up questions on the user's command. Answer with "User" or "Agent".
question:
Can you add meeting with Dan Schoffel after this?
answer:
user
question:
1-1:30pm works best.
answer:
user
question:
I am meeting with Brian on 1/25. It should be the same year as the pizza party.
answer:
| user
| 9 | NIv2 | task1599_smcalflow_classification | fs_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).
[EX Q]: Paragraph: When a person exercises regularly, and is fit, the heart undergoes certain long-term adaptations. The heart muscle gets stronger, and expels more blood with each contraction.
Question: If you spend a lot of time working out your muscles will be
Choices: A)smaller
B)larger
[EX A]: larger
[EX Q]: Paragraph: An object has greater momentum if it has greater mass, greater velocity, or both.
Question: If an big eighteen wheeler and a small wagon are both rolling down a small hill, which has less momentum?
Choices: A)small wagon
B)eighteen wheeler
[EX A]: small wagon
[EX 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
[EX A]: | less inertia
| 6 | NIv2 | task1731_quartz_question_answering | fs_opt |
In this task, you will be shown an extract from a movie plot and a question. You need to provide the correct answer for it. Short answers containing words that are present in the passage are preferred.
Q: The Royal Hong Kong Police Force is planning a major undercover sting called "Operation Boar Hunt" to arrest crime lord Chu Tao (Yuen Chor).Inspector Chan Ka-Kui (or Kevin Chan in some versions) is part of the operation, along with undercover officers stationed in a shanty town. However, the criminals spot the police and the ensuing car chase cuts through the hillside shanty town, vehicles destroying the shacks and causing large explosions.Ka-Kui persists in his chase, eventually following on foot as the drug lord attempts to escape in a double-decker bus. Ka Kui catches the bus and initially is able to hang on to it using an umbrella, but is thrown off. He then manages to get in front of the bus and bring it to a halt by threatening to shoot the driver with his service revolver. Later, Ka-Kui is reprimanded by Superintendent Li for letting the operation get out of hand, but is subsequently presented to the media as a model police officer.His next assignment is to protect Chu Tao's secretary, Selina Fong (Brigitte Lin), who plans to testify in court about Chu Tao's illegal activities. At first, Selina insists that she does not require protection, but after Ka Kui has a fellow policeman break into her apartment and pose as a knife-wielding murderer, she becomes more cooperative. After Ka-Kui and Selina leave her apartment later that evening, they are attacked by some street thugs, whom Ka-Kui is able to defeat with his martial arts skills, though the fight leaves Selina's car a wreck.When Ka-Kui arrives at his apartment with Selina, who is only wearing lingerie, he is surprised by his girlfriend, May (Maggie Cheung) and her friends, who are throwing a birthday party for him. May, seeing the scantily-clad Selina, misunderstands and becomes angry with Ka-Kui, shoving the birthday cake into his face. Ka-Kui is later able to explain to May that Selina is a witness, but only after much bumbling and further misunderstanding.Meanwhile, Selina has discovered that the attack by the man with knife at her apartment was a sham, and so she decides to not cooperate with Ka Kui. She sneaks away while Ka-Kui is sleeping and is not present for the crucial court date the following day.Though Chu Tao is released on bail, he wants revenge against Ka-Kui. Using a corrupt policeman, Inspector Man (Kam Hing Ying), Chu Tao is able to frame Ka-Kui for the murder of Inspector Man. Now a fugitive cop killer, Ka Kui must try to catch Chu Tao and clear his name.The action comes to a head in a shopping mall, where Chu Tao has an office. After surviving a murder attempt by Chu Tao's men to ensure her silence, Selina goes to the office to download incriminating data from Chu Tao's computer system. Chu Tao notices that the data is being dumped, and he and his men head to the shopping mall to intervene. Ka-Kui, who's monitoring Chu Tao's activities, follows. In the ensuing fight, Ka-Kui defeats all of Chu Tao's henchmen. The briefcase containing the computer data falls to the ground floor of the mall, but Chu Tao retrieves it. Ka-Kui, at the top floor, leaps off a ledge and grabs a pole wrapped in lightbulbs. He rapidly slides down the pole, smashing through the bulbs, crashing through a glass ceiling, and finally reaching the floor, where he violently apprehends Chu Tao but is held back humorously by his two friends Tak and Kim to stop him from delivering one final kick to Chu Tao., Question: Who are Ka-Kui's two friends?
A: Answer: Tak and Kim
****
Q: The film is divided into five segments (the five seasons of the title), each segment depicting a different stage in the life of a Buddhist monk (each segment is roughly ten to twenty years apart, and is physically in the middle of its titular season).SpringWe are introduced the of the very young Buddhist apprentice with his master on a small floating monastery, drifting on a lake in the serene forested mountains of Korea. The apprentice and his master live a basic life of prayer and meditation, using an old rowboat to reach the bank of the lake where they regularly go walking, for exercise and to collect herbs. One day, in a creek amongst the rocky hills, the apprentice torments a fish by tying a small stone to it with string and laughing as it struggles to swim. Shortly after, he does the same to a frog and a snake; his master quietly observes on all three occasions, and that night ties a large, smooth rock to the apprentice as he sleeps. In the morning, he tells his apprentice that he cannot take off the rock until he unties the creatures he tormented - adding that if any of them have died, he will "carry the stone in his heart forever". The boy struggles with the load on his back through the forest, and finds the fish, lying dead on the bottom of the creek, finds the frog still alive and struggling where he left it, and finds the snake in a pool of blood, presumably attacked and killed by another animal, unable to get away. The master watches as the boy begins to cry heavily upon seeing what he has done to the snake.SummerThe apprentice (now in his teenage years) encounters a mother and daughter (dressed in modern clothes, indicating that the film takes place in modern times) walking along the forest path, looking for the lake monastery. The apprentice silently greets them and rows them across the lake to the monastery, where it is revealed that the daughter has an unspecified illness (she displays symptoms of a fever) and has been brought to the Buddhist master by her mother, hoping that she will be healed. The master agrees to take in the teenage girl for a time, and the mother leaves. Over the next few days, the apprentice finds himself sexually attracted to the girl, but is too shy to say anything; however, when he finds her sleeping in front of the Buddha statue, he is unable to resist groping her chest. She wakes up and slaps him, and in a guilty panic the apprentice begins to pray incessantly, something his master notes as strange. The girl seems to forgive him however; eventually, the two wander off into the forest alone and have sex. They repeat the act over the next few nights, hiding their relationship from the master, until he discovers them asleep and naked, drifting around the lake in the rowboat. He wakes them up by pulling the plug out of the boat. Rather than expressing anger or disappointment, he merely warns his apprentice that "lust leads to desire for possesion, and possesion leads to murder", but does tell him that the girl will have to leave. The apprentice reacts emotionally to this, and in the middle of the night runs away from the monastery in pursuit of the girl, taking the monastery's Buddha statue with him.FallMany years later, in "Fall" (or "Autumn"), the aging master returns from a supply run to the local village, and by chance glimpses a warrant for the arrest of his former apprentice, wanted for the murder of his wife. Foreseeing the apprentice's return, he modifies the teenage monk garments by hand, and soon afterward the adult apprentice appears in the spiritual door at the lake's edge, still full of anger and carrying the bloodstained knife with which he stabbed his wife. Unwilling to go on, he seals his eyes, mouth and nose in a suicide ritual and sits in front of the newly returned Buddha statue, waiting for death; the master discovers him, and beats him ruthlessly, professing that while he may have killed his wife, he will not kill himself so easily. He ties his bloodied apprentice to the ceiling and sets a candle to slowly burn through the rope, then begins painting "Heart Sutra" on one side of the monastery deck, by dipping his cat's tail into a tin of black paint. The apprentice eventually falls, and beginning his repentance, cuts his hair off and starts carving the Chinese characters out of the wood. As he carves and the master paints, two detectives arrive at the monastery and try to arrest the apprentice, but the master asks them to let him finish his task. The apprentice continues without stopping, and collapses into sleep immediately upon finishing. Seemingly influenced by the soothing presence of the master, the detectives help the old monk paint his apprentice's carvings in orange, green, blue and purple. The apprentice finally wakes up, and is taken away by the detectives. After they leave, the master, knowing he is at his end, builds a pyre in the rowboat. He seals his ears, eyes, nose and mouth with paper in the same suicide ritual and meditates as he is suffocated and burned to death. One can see the tracks of his tears in the paper seals as flames engulf him.WinterThe middle-aged apprentice returns to the frozen lake and to his former home, which has been drifting uninhabited for years. He finds his master's clothes, laid out just before his death, and digs his master's remains out of the frozen rowboat, setting them to rest in the Buddha statue under a waterfall. He finds a book of choreographic meditative stances, and begins to train and exercise relentlessly in the freezing weather. Eventually, a woman comes to the monastery with her baby son and a shawl wrapped around her face. She seeks to leave her son with the monk and flee, but as she tries to leave in the middle of the night, she stumbles into a hole in the ice the monk dug earlier and drowns. Finding her body the next day causes him to tie the monastery's large, circular stone to his body and climb to the summit of the tallest surrounding mountain holding another statue, which he places there....and SpringFinally, returning to "Spring", the cycle is completed: the new master lives in the monastery with the abandoned baby, now his apprentice. The boy is shown to torment a tortoise and, wandering into the rocky hills, echoes his predecessor, forcing stones into the mouths of a fish, frog and snake., Question: How did the master and apprentice commute to reach the bank?
A: Answer: They used an old rowboat.
****
Q: In 740 AD, the mighty magician Merlin (James A. Stephens) has three apprentices. One, Maxim Horvath (Alfred Molina), betrays his master by joining forces with the evil sorceress Morgana le Fay (Alice Krige). Morgana mortally wounds Merlin before another apprentice, Veronica Gorloisen (Monica Bellucci), is able to rip Morgana's soul from her body and absorbs it into her own. As Morgana attempts to kill Veronica by possessing her from within, the third and final apprentice, Balthazar Blake (Nicolas Cage), stops her by imprisoning Morgana and Veronica in the "Grimhold", a magic prison in the shape of a nesting doll. Before dying, Merlin gives Balthazar a dragon ring that will identify the Prime Merlinian, Merlin's descendant and the only one able to defeat Morgana. While he searches for his descendant throughout history, Balthazar imprisons Morganians, sorcerers who try to release Morgana, including Horvath, into successive layers on the Grimhold.In 2000, 10-year-old Dave Stutler (Jake Cherry), encounters Balthazar in a Manhattan antique store, after straying from his school field trip. When Balthazar gives Dave Merlin's dragon ring, the ring comes to life, and wraps itself around the boy's finger. When Balthazar goes to find the book of magic, Dave accidentally opens the Grimhold, releasing the imprisoned Horvath. While battling for possession of the Grimhold, Balthazar and Horvath are imprisoned in an ancient Chinese urn with a ten-year lock curse. Dave is then ridiculed by his classmates when he claims he saw magic, only to find the shop empty.Ten years later in 2010, Dave (Jay Baruchel), now 20 years old, is a physics student at New York University, and meets his childhood crush Becky (Teresa Palmer). The ten-year imprisonment curse of the urn ends, releasing Horvath and Balthazar. Horvath pursues Dave and the Grimhold. Balthazar rescues Dave, riding an animated steel eagle adapted from a Chrysler Building gargoyle. Dave initially refuses to help Balthazar, having been under psychiatric care since their first meeting, until the elder agrees to leave after finding the Grimhold. They track the Grimhold to Chinatown, where Horvath has released the next Morganian, Sun Lok (Gregory Woo). Dave defeats Sun Lok, and Balthazar retrieves the Grimhold. Dave changes his mind, deciding that he likes magic after all, and agrees to become Balthazar's apprentice. He also becomes romantically involved with Becky against Balthazar's wishes and advice. Horvath enlists celebrity magician Drake Stone (Toby Kebbell) to get back the Grimhold. They attempt to kill Dave, but Balthazar saves him. Cued by Horvath, Dave demands to know the truth about Balthazar's quest. Balthazar reveals that Morgana is trapped in the Grimhold with Veronica. Morgana, if freed, would cast a spell called "The Rising", which would revive sorcerers from the dead and enslave mankind. Dave, the Prime Merlinian, a descendant of Merlin, will become powerful enough to cast spells without his ring, and is the only one who can stop her. Dave tries to use magic to clean his lab, but loses control of his animated cleaning mops, and, disillusioned, decides to give up on magic, until Becky changes his mind.He returns to his underground subway lab, just as Drake and Horvath try to kill Balthazar and steal the Grimhold. Horvath, having no more use for Drake, casts a parasite spell and steals Drake's magic and his ring. Horvath releases the witch Abigail Williams, uses her to kidnap Becky, then steals her magic and pendant. He threatens to kill Becky, forcing Dave to surrender the Grimhold and his ring. Balthazar goes after Horvath in Battery Park, sure that Dave, without his ring, will be killed. Horvath releases Morgana, who begins the Rising Spell while Horvath animates the Charging Bull sculpture and commands it to attack Balthazar. Dave arrive and stuns Horvath while Balthazar's eagle flies away with the bull. Becky interrupts the Rising Spell, stunning Morgana. Balthazar takes Morgana, body and soul, from Veronica into himself, but Morgana escapes and tries to incinerate them. Dave stops her without his ring, proving that he is the Prime Merlinian. Morgana shoots energy bolts and kills Balthazar. Dave makes a Tesla coil out of the square's lamp posts and power lines and then destroys her. He revives Balthazar by restarting his heart. Balthazar and Veronica reunite. Dave and Becky kiss, and fly to France on Balthazar's eagle.In a post-credits scene, Horvath takes his hat at Balthazar's shop., Question: who shoots energy bolts and kills Balthazar?
A: | Answer: Morgana
****
| 4 | NIv2 | task194_duorc_answer_generation | fs_opt |
In this task, you need to count the number of times the given letter appears in the given sentence.
--------
Question: Sentence: 'soccer players on opposite teams fight for control over a ball'. Find frequency of the letter 't'
Answer: 4
Question: Sentence: 'a child sitting a table with a pizza in front of him'. Find frequency of the letter 'h'
Answer: 3
Question: Sentence: 'the large adult elephant walks through the grassy water'. Find frequency of the letter 'g'
Answer: | 3
| 7 | NIv2 | task113_count_frequency_of_letter | fs_opt |
You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
what is the rating of Things You Can Tell Just by Looking at Her?
good
what films did Mort Ransen write?
Margaret's Museum
which person wrote the movie Sinbad and the Eye of the Tiger?
| Beverley Cross, Ray Harryhausen
| 0 | NIv2 | task615_moviesqa_answer_generation | 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].
I love finals week! #justkidding #stressed
polarity
I fell asleep posting my last post.
situational
@drapermark37 @susanbnj We must be tolerant and embrace the peaceful Islamic faith, Muslims are our peaceful brothers
| polarity
| 0 | NIv2 | task387_semeval_2018_task3_irony_classification | fs_opt |
instruction:
In this task, you are given a text which is the body of a document. Your job is to classify the topic of the document into these categories: 1)Company, 2)Educational Institution, 3)Artist, 4)Athlete, 5)Office Holder, 6)Mean of transportation, 7)Building, 8)Natural place, 9)Village, 10)Animal, 11)Plant, 12)Album, 13)Film, 14)Written work. Your output should be the category number. Don't generate anything apart from numbers 1-14.
question:
Text: Buddleja candida is a small deciduous shrub widely distributed from north-east India through south east Xizang (Tibet) to the provinces of Sichuan and Yunnan in western China growing on forest edges in mountain thickets and along riverbanks at altitudes of 1000 – 2500 m. Named and described by Dunn in 1920 the shrub was introduced to cultivation in the west in 1928. Leeuwenberg opined that the species needed further field study to confirm its specific distinction from B.
answer:
11
question:
Text: Al Ayal Kibrit (The Kids Have Grown Up العيَال كبرت) is a famous Egyptian play starring Sa'ed Saleh Ahmad Zaki Yunis Shalabi and Nadia Shoukry as the children. Hassan Mustafa plays the role of the father with Karima Mokhtar playing the role of the mother. The play tells the story of the children trying to stop their father from leaving his family for another woman after one of them finds accidentally a love letter from an unknown women to their father.
answer:
14
question:
Text: Dangerous Angels is a young adult fiction series by Francesca Lia Block. It consists of seven novels: Weetzie Bat Witch Baby Cherokee Bat and the Goat Guys Missing Angel Juan Baby Be-Bop Necklace of Kisses and Pink Smog: Becoming Weetzie Bat. The stories are about Weetzie Bat and her friends and family's lives in Los Angeles including witches genies and ghosts on their journeys to find acceptance love and a connection.
answer:
| 14
| 9 | NIv2 | task629_dbpedia_14_classification | fs_opt |
TASK DEFINITION: You will be given a passage, and your task is to generate a Yes/No question that is answerable based on the given passage.
PROBLEM: The compound hydrogen chloride has the chemical formula HCl and as such is a hydrogen halide. At room temperature, it is a colorless gas, which forms white fumes of hydrochloric acid upon contact with atmospheric water vapor. Hydrogen chloride gas and hydrochloric acid are important in technology and industry. Hydrochloric acid, the aqueous solution of hydrogen chloride, is also commonly given the formula HCl.
SOLUTION: would hydrogen chloride be a gas at room temperature?
PROBLEM: The Church of England (C of E) is the state church of England. The Archbishop of Canterbury (currently Justin Welby) is the most senior cleric, although the monarch is the supreme governor. The Church of England is also the mother church of the international Anglican Communion. It traces its history to the Christian church recorded as existing in the Roman province of Britain by the third century, and to the 6th-century Gregorian mission to Kent led by Augustine of Canterbury.
SOLUTION: is the anglican church the same as the church of england?
PROBLEM: A sweat allergy is the exacerbation of atopic dermatitis associated with an elevated body temperature and resulting increases in the production of sweat. It appears as small reddish wheals that become visible in response to increased temperature and resulting production of sweat. It can affect all ages. Sweating can trigger intense itching or cholinergic urticaria. The protein MGL_1304 secreted by mycobiota present on the skin such as Malassezia globosa acts as a histamine or antigen. People can be desensitized using their own samples of sweat that have been purified that contains small amounts of the allergen. The allergy is not due to the sweat itself but instead to an allergy-producing protein secreted by bacteria found on the skin.
SOLUTION: | can you develop an allergy to your own sweat?
| 8 | NIv2 | task381_boolq_question_generation | fs_opt |
TASK DEFINITION: You are given an original reference as well as a system generated reference. Your task is to judge the naturaleness of the system generated reference. If the utterance could have been produced by a native speaker output 1, else output 0.
PROBLEM: System Reference: x is an italian restaurant near x.
Original Reference: x is an italian restaurant near x.
SOLUTION: 1
PROBLEM: System Reference: red door cafe, is good for brunch, and no children are allowed.
Original Reference: the red door cafe is a cafe for brunch that does not allow child -s.
SOLUTION: 1
PROBLEM: System Reference: beijing restaurant 's address is 1801 alemany blvd.
Original Reference: beijing restaurant is located on 1801 alemany blvd.
SOLUTION: | 1
| 8 | NIv2 | task1186_nne_hrngo_classification | fs_opt |
In this task, you are given a news article. Your task is to classify the article to one out of the four topics 'World', 'Sports', 'Business', 'Sci/Tech' if the article's main topic is relevant to the world, sports, business, and science/technology, correspondingly. If you are not sure about the topic, choose the closest option. Note that URLs in the text have been replaced with [Link].
Ex Input:
Payback Time For The Cock Of The Prairie Is the strutting sage grouse, iconic bird of the Western steppe, an endangered species? No doubt about it, say environmentalists, who petitioned for federal protection for the quot;cock of the prairie, quot; as Lewis and Clark fondly dubbed it.
Ex Output:
Sci/Tech
Ex Input:
Palestinians Pour Out Grief Over Arafat's Death RAMALLAH, West Bank (Reuters) - Palestinians streamed into the streets of the West Bank and Gaza Strip on Thursday in an outpouring of grief over the death of Yasser Arafat, the enduring symbol of their nationalist cause.
Ex Output:
World
Ex Input:
Door open for Hardie boss JAMES Hardie #39;s two most senior executives have agreed to stand aside after damning findings by a special inquiry into its asbestos liabilities, but chief executive Peter Macdonald
Ex Output:
| Business
| 1 | NIv2 | task379_agnews_topic_classification | fs_opt |