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Write a correct answer to the given question based on its associated fact. Make sure that your answer is contained in the associated fact. Don't be creative and introduce any new word that is not mentioned in the associated fact! Remember that the associated fact has been rearranged to form the question. So, the correct answer words must lie within the associated fact. The correct answer can be a word, phrase, or even a sentence. Q: Fact: A round organism uses pheromones to communicate with each other. Question: What shape organism is known for using pheromones to communicate? A:
Round.
4
NIv2
task041_qasc_answer_generation
zs_opt
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You will be given a definition of a task first, then some input of the task. You are given a science question (easy-level) and four answer options (associated with "A", "B", "C", "D"). Your task is to find the correct answer based on scientific facts, knowledge, and reasoning. Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'. There is only one correct answer for each question. At night, the Moon is the brightest object in the sky. Where does the Moon's light come from? (A) The Moon reflects light from Earth. (B) The Moon reflects light from the Sun. (C) The Moon makes light beneath its surface. (D) The Moon has rocks on its surface that glow. Output:
B
1
NIv2
task228_arc_answer_generation_easy
zs_opt
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You are given a sentence in English. Your job is to translate the English sentence into Italian. [Q]: (Laughter) I'm going to use a device from a company called Mobisante. [A]: (Risate) Utilizzerò un apparecchio di un'azienda che si chiama Mobisante. [Q]: And if we have policies in which we take it in that larger historical perspective, we're going to be able to manage this process. [A]: E se adotteremo politiche che ci permettono di collocare queste cose in una prospettiva storica più ampia, saremo in grado di gestire questo processo. [Q]: One. Great. Okay. [A]:
Una! Giusto. OK.
5
NIv2
task1091_ted_translation_en_it
fs_opt
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Given a sentence in French, generate a new French sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true. One example: Tomber amoureux, c'est comme manger un chocolat. Solution is here: Tomber amoureux, c'est comme allumer un bar de vacances. Explanation: This is a good change in the sentence, because it is semantically similar to the input as both are talking about falling in love and the created sentence follows the commonsense knowledge. Now, solve this: Si vous voulez marcher autour d'un mur, alors vous devriez faire une promenade. Solution:
Si vous voulez marcher autour d'un lac, alors vous devriez concevoir une promenade.
6
NIv2
task406_mickey_fr_sentence_perturbation_generation
fs_opt
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You are given a target person and two sentences. Your task is to determine whether the second sentence conveys 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. [EX Q]: Target: herself She sat in a room by herself. The zombies are coming!. [EX A]: unrelated [EX Q]: Target: grandfather The grandfather had seven grandchildren. Rose bushes need to be watered regularly. [EX A]: unrelated [EX Q]: Target: sister My sister and I both have birthdays in December. R is a statistical program used by data analyst and statisticians. [EX A]:
unrelated
6
NIv2
task318_stereoset_classification_gender
fs_opt
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You will be given a definition of a task first, then some input of the task. In this task, you are given a sentence in the Swedish 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). Denna lösning är oacceptabel, eftersom tillverkarna inte har kunnat integrera miljökraven i sina tillverkningsprocesser och självkostnadspriser, de miljökrav som vi ålägger dem i dag. Output:
This solution is unacceptable because these car manufacturers have not had the opportunity to build the environmental demands we are making of them today into their manufacturing procedures and their manufacturing costs.
1
NIv2
task312_europarl_sv_en_translation
zs_opt
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Teacher: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'. Teacher: Now, understand the problem? Solve this instance: Sentence1: He got a fifty dollar bonus. Sentence2: Bob put on his glasses and realized it was actually five dollars. Sentence3: Bob was still happy, but less excited. Sentence4: Bob was a worker on Mechanical Turk. Sentence5: Bob was happy because it was the biggest bonus he had gotten. Student:
24513
6
NIv2
task300_storycloze_order_generation
zs_opt
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TASK DEFINITION: In this task, you need to Translate Czech text to English. PROBLEM: Řešení se týká soustavy zásobníku granulátu, účelem řešení Je zkvalitnit odloučení granulátu od vody, pomocí které je granulát transportován. Podstata řešení spočívá v tom, že jednotlivé sousední granulační zásobníky gs°u propojeny spojovacími kanály opatřenými uzavíracími členy, a přepadová potrubí jednotlivýoh granulačních zásobníků jsou vybavena uzavíracími prvky, přičemž každý vstup do přepadového potrubí je opatřen zachycovacem struskové pěny. SOLUTION: The solution relates to a stack system granulate, the purpose of the solution is to improve separating the granulate from the water by means of which the granulate is transported. Essence The solution lies in being individual adjacent granulation containers gs ° u are interconnected connecting channels provided closing members, and overflow pipes individual granulation containers they are equipped with closing elements, whereby each entry into the overflow pipe it is equipped with a slag catcher foam. PROBLEM: Úkolem vynálezu je zvýšit objem dopravy bahna při sníženém odčerpávání vody. Úloha je řešena, kombinací svislého nebo šikmého šnekového dopravníku s takzvanou sloní pumpou, která k čerpání využívá snížení specifické hmotnosti vody, do níž jsou zavedeny bublinky vzduchu. Dopravní šnek je na horní straně svých závitů opatřen plynovými výstupními otvory, propojenými se zdrojem tlakového plynu, zejména vzduchu. Tím se kombinuje účinek svislého dopravního' šneku s účinkem sloní pumpy a dosahuje se podstatně zvýšeného výkonu. SOLUTION: The object of the invention is to increase the volume of traffic mud with reduced water drainage. Role is solved by a combination of vertical or oblique screw conveyor with so-called elephant pump, which uses a reduction to draw the specific weight of the water into which they are \ t air bubbles introduced. Traffic snail is provided with gas on the top of its threads outlet openings interconnected a source of pressurized gas, in particular air. This combines the effect of vertical snail with elephant pump effect and reaches with significantly improved performance. PROBLEM: Vyzdívková sestava žáruvzdorného bloku, jehož základním stavebním prvkemjsou žáruvzdorné cihly (I), které se tmelením sezdívají v nejméně šesti řadách do hladkého nebo stupňovitě členěného bloku, přičemž nad druhou řadou cihel (1) je do ložné spáry (2) bloku vložena plechová závěsná vložka (3) ve tvaru U, jejíž svislé závěsy (4, 5) jsou alespoň nad horní plochou bloku opatřeny vylehčovacími otvory (6, 7) pro zavěšení bloku při manipulaci. SOLUTION:
Refractory block lining assembly The building block is refractory bricks (I) that are sealed they stand in at least six rows to smooth or stepped block, with the second row above bricks (1), a sheet metal suspension is inserted into the loading joint (2) of the block a U-shaped insert (3) whose vertical hinges (4, 5) are at least over the upper surface of the block are provided with lightening openings (6, 7) for hanging the block during handling.
8
NIv2
task842_para_pdt_cs_en_translation
fs_opt
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Definition: In this task, you are given a question and a context passage. You have to answer the question based on the given passage. Input: Certain actions are not permitted when a player interacts with a player that he what?, Context: There are many rules to contact in this type of football. First, the only player on the field who may be legally tackled is the player currently in possession of the football (the ball carrier). Second, a receiver, that is to say, an offensive player sent down the field to receive a pass, may not be interfered with (have his motion impeded, be blocked, etc.) unless he is within one yard of the line of scrimmage (instead of 5 yards (4.6 m) in American football). Any player may block another player's passage, so long as he does not hold or trip the player he intends to block. The kicker may not be contacted after the kick but before his kicking leg returns to the ground (this rule is not enforced upon a player who has blocked a kick), and the quarterback, having already thrown the ball, may not be hit or tackled. Output:
intends to block
2
NIv2
task1295_adversarial_qa_question_answering
zs_opt
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Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is. [EX Q]: 昨日リリースされたBBCを支持する歌が、イギリスのいくつかの音楽チャートに影響を与えている。 [EX A]: Ang isang awiting inilabas kahapon bilang tulong sa BBC ay gumagawa ng impak sa ilang mga tsart ng musika ng UK. [EX Q]: その地震はオホーツク海の水面下600kmで起こり、リヒター・スケールでマグニチュード8.2を記録、モスクワでの揺れは同スケールで1.0だった。 [EX A]: Nangyari ang lindol sa 600km na ilalim ng kapatagan ng dagat sa Okhotsk Sea at itinala ang 8.2 na lakas nito sa Richter Scale, at nasukatan nang 1.0 ang pagyanig sa Moscow. [EX Q]: ウガンダ大統領、ヨウェリ・ムセベニは特定の同性愛行為に終身刑を科すという議会で論争を巻き起こしている法案から距離を置いた。 [EX A]:
Ang presidente ng Uganda na si Yoweri Museveni ay dinistansya ang sarili sa pinagtatalunang panukalang batas sa parliyamento na gagawa ng mga partikular na mga gawainng homosekswalidad ay pinarurusahan ng kamatayan.
6
NIv2
task1118_alt_ja_fil_translation
fs_opt
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Teacher: Here are two questions (Question1 and Question2). If these questions have the same meaning and same answer, answer "Yes", otherwise "No". Teacher: Now, understand the problem? If you are still confused, see the following example: Question1: How do I get into my Instagram if I forgot my email and my Facebook password?, Question2: I forgot my password and also my email password. how can I get back that account? Solution: Yes Reason: These questions have the meaning and the same answer. So, the output should be "Yes". Now, solve this instance: Question1: How do you stay motivated in rejection?, Question2: How do I stay motivated? Student:
No
2
NIv2
task1287_glue_qqp_paraphrasing
fs_opt
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We would like you to assess the QUALITY of each of the following argument (discussing Gay Marriage) and determine if the argument is Valid or Invalid. A valid argument is clearly interpretable and either expresses an argument, or a premise or a conclusion that can be used in an argument for the topic of gay marriage. An invalid argument is a phrase that cannot be interpreted as an argument or not on the topic of gay marriage. Example Input: Surely this isn't what you are saying but if it is then where does it say this in the law? Example Output: Invalid Example Input: This type of supremacist thinking you present flies in the face of our constitutional ideology, protecting EQUAL rights. Example Output: Valid Example Input: So, as a nation, we determine if something is right or wrong based on your 'personal belief'? Example Output:
Invalid
3
NIv2
task148_afs_argument_quality_gay_marriage
fs_opt
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Q: 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 happens before 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. Head: PersonX acknowledges with gratitude the ___<sep>Tail: thankful A:
No
7
NIv2
task1206_atomic_classification_isbefore
zs_opt
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instruction: You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review. question: The only other flavored coffee I've used was Nestle Hazelnut. It too was a 5# whole bean. I really enjoyed that one and thought I pick this one up. Where the Nestle's shared flavor with the bean this one overpowers. This one has a burnt note that seems flavoring instead of roast related. I like hazelnuts and this a isn't anything like hazelnut Now I have 5# of the stuff. My mistake! More Info: I am about 3/4 of the way through the bag. My opinion has not changed. Also, I would note a very inconsistent flavor. Today's grind seems almost devoid of the flavoring. It appears they really don't have the adding of flavoring down. The intensity of the flavoring is all over the park. answer: Negative question: Smooth coffee, but a bit to big for senseo, interestingly all the other Melitta One pod flavors fit just fine in senseo, my fav are french kisses and vanilla haze. answer: Positive question: I've read the reviews and I agree that Yuban is absolutely the best coffee but at $100 for 12 cans comes to over $8 a can. That's $3 more a can than I pay at my local store. I don't understand the high price? answer:
Negative
9
NIv2
task586_amazonfood_polarity_classification
fs_opt
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You are given a sentence in Japanese. Your job is to translate the Japanese sentence into English. 島の東端ではサンゴ礁は無傷のままで繁栄しており台風が通過した形跡は殆ど見あたりませんでした And on the eastern end of the island, where the reefs are intact and thriving, you could barely tell a tropical storm had passed. 1つは集束超音波ですそしてもう1つは術野を提供する磁気共鳴画像法 ( MRI ) です One is the focused ultrasound, and the other one is the vision-enabled magnetic resonance imaging. エルビス同様、シェイクスピアも "" ロミオとジュリエット "" の有名な台詞の中でジュリエットは太陽であるという表現をしています
Elvis uses it, but so does Shakespeare in this famous line from "" Romeo and Juliet: "" Juliet is the sun.
0
NIv2
task1222_ted_translation_ja_en
fs_opt
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Given a sentence in Arabic, generate a new Arabic 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. إذا أردت أن تختبر السيارة فعليك أن تذهب إلى وكالة.
« ولئن » لام قسم « أُغْطِيْتَ » غطيت « المظلة » أي المظلة « فذهبتَ » إلى « مَلَكَةٍ » منصوب بضم الميم وفتح الميم وفتحها محذوف ، أي إلى مَدْرِك.
0
NIv2
task414_mickey_ar_sentence_perturbation_generation
zs_opt
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Part 1. Definition In this task your given two statements in Estonian. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character. Part 2. Example Ese oli mullikilesse mässitud. See oli õrn. Answer: cause Explanation: The object being delicate is the cause of wrapping it in bubble wrap. Part 3. Exercise Mehe hääl kandus selgelt üle auditoorimi. Ta rääkis mikrofoni. Answer:
cause
7
NIv2
task969_xcopa_commonsense_cause_effect_et
fs_opt
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Definition: In this task, you are given a sentence in Spanish and your task is to translate it into English. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name). Input: Ahora bien, en el debate y en las propuestas se ha dado preferencia al tema "calidad físico-química y ecológica del agua" y casi sólo marginalmente se han tenido en cuenta los efectos perversos en las restantes dimensiones. Output:
The "physico-chemical and ecological quality of water" was highlighted during the debate and in the proposals, and the adverse effects of other aspects was, at best, touched upon marginally.
2
NIv2
task531_europarl_es_en_translation
zs_opt
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You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task. In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are fine 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 : '$': Dollar Sign, "''": Single Quotes, ',': Comma Symbol, '-LRB-': Left Parantheses, '-RRB-': Right Parantheses, '.': Period, ':': Colon, 'ADD': Email Address, 'AFX': Affix, 'CC': Coordinating conjunction, 'CD': Cardinal Number, 'DT': Determiner, 'EX': Existential there, 'FW': Foreign Word, 'GW': Go with, 'HYPH': Hyphen symbol, 'IN': Preposition or a subordinating conjunction, 'JJ': Adjective, 'JJR': A comparative Adjective, 'JJS': A Superlative Adjective, 'LS': List item Marker, 'MD': Modal, 'NFP': Superfluous punctuation, 'NN': Singular Noun, 'NNP': Singular Proper Noun, 'NNPS': Prural Proper Noun, 'NNS': Prural Noun, 'PDT': Pre-determiner, 'POS': Possessive Ending, 'PRP': Personal pronoun, 'PRP$': Possessive Pronoun, 'RB': Adverb, 'RBR': Comparative Adverb, 'RBS': Superlative Adverb, 'RP': Particle, 'SYM': Symbol, 'TO': To , 'UH': Interjection, 'VB': Base form Verb, 'VBD': Verb in Past tense, 'VBG': Verb in present participle, 'VBN': Verb in past participle, 'VBP': Verb in non-3rd person singular present, 'VBZ': Verb in 3rd person singular present, 'WDT': Wh-determiner, 'WP': Wh-pronoun, 'WP$' Possessive Wh-pronoun, 'WRB': Wh-adverb, 'XX': Unknown, '``': Double backticks. Sentence: Those things ended up being a windsheild washer fluid tank {{ ( }} 1 screw ) and the air filter canister ( 4 spring clips ) . Word: ( Solution: -LRB- Why? "(" is the symbol for Left Parantheses (-LRB-). New input: Sentence: I 'll believe it {{ when }} I see it . Word: when Solution:
WRB
0
NIv2
task584_udeps_eng_fine_pos_tagging
fs_opt
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Given the task definition and input, reply with output. In this task, you are given a sentence in the Japanese language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun). 選挙の2日後、未確定なままの議席が少しあった。
Two days after the election, a handful of seats are still in doubt.
5
NIv2
task436_alt_ja_en_translation
zs_opt
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This task is to identify the language of a sentence correctly by classifying if it is English or Telugu Let me give you an example: ఇల్లు అందంగా ఉంది The answer to this example can be: Telugu Here is why: The language is Telugu so it is correct. OK. solve this: Depression and ADHD (attention deficit hyperactivity disorder) were just two of the mental health issues Ms Sharpe linked to pornography. Answer:
English
8
NIv2
task1618_cc_alligned_classify_tel_eng
fs_opt
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You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task. Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building blocks for a command. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. For commands, 'left' and 'right' are used to denote the direction of an action. opposite turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. Actions and commands do not have quotations in the input and output. I_TURN_LEFT I_JUMP Solution: jump left Why? If the agent turned to the left and jumped, then the agent jumped to the left. New input: I_TURN_LEFT I_WALK I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT Solution:
walk left and turn right thrice
0
NIv2
task127_scan_long_text_generation_action_command_all
fs_opt
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In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is - '.': Period symbol is used for symbols denoting Punctuations/Separations such as comma, period, backticks etc., 'ADJ': Adjectives are words that typically modify nouns and specify their properties or attributes, 'ADP': Adposition is a cover term for prepositions and postpositions, 'ADV': Adverbs are words that typically modify verbs for such categories as time, place, direction or manner, 'CONJ': A word used to connect clauses or sentences or to coordinate words in the same clause, 'DET': Determiners are words that modify nouns or noun phrases and express the reference of the noun phrase in context, 'NOUN': Nouns are a part of speech typically denoting a person, place, thing, animal or idea, 'NUM': A numeral is a word, functioning most typically as a determiner, adjective or pronoun, that expresses a number and a relation to the number, such as quantity, sequence, frequency or fraction, 'PRT': Particles are function words that must be associated with another word or phrase to impart meaning and that do not satisfy definitions of other universal parts of speech, 'PRON': Pronouns are words that substitute for nouns or noun phrases, whose meaning is recoverable from the linguistic or extralinguistic context, 'PROPN': A proper noun is a noun (or nominal content word) that is the name (or part of the name) of a specific individual, place, or object, 'VERB': A verb is a member of the syntactic class of words that typically signal events and actions, can constitute a minimal predicate in a clause, and govern the number and types of other constituents which may occur in the clause, 'X': The tag X is used for words that for some reason cannot be assigned a real part-of-speech category. -------- Question: Sentence: Their territory lay to the north , near the sources of the Alabama , the Tombigbee , the Tennessee , {{ and }} Cumberland rivers , and was easily accessible to traders among the near-by Cherokees . Word: and Answer: CONJ Question: Sentence: Then came their bathroom , and then a bedroom that , judging by the photographs on the {{ walls }} , must belong to Mme Cestre . Word: walls Answer: NOUN Question: Sentence: Today , {{ seven }} years after the date of my initial induction as a draftee , I am Assistant Professor of Philosophy and Science at St. Michael's College . Word: seven Answer:
NUM
7
NIv2
task1168_brown_coarse_pos_tagging
fs_opt
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You will be given a definition of a task first, then some input of the task. Given a sentence in Russian, generate a new Russian 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. Вы можете нажать на сцену, чтобы рассказать историю. Output:
Ты можешь использовать сцену, чтобы рассказать историю.
1
NIv2
task410_mickey_ru_sentence_perturbation_generation
zs_opt
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TASK DEFINITION: In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'. PROBLEM: Sentence1: 'a laptop computer sitting on top of a blue counter', Sentence2: 'a person sitting in a chair outside with a suitcase next to them'. Is the frequency of the word 'counter' in two sentences equal? SOLUTION: No PROBLEM: Sentence1: 'a large brown bull standing behind a metal fence', Sentence2: 'a person holds a ring up to their face'. Is the frequency of the word 'up' in two sentences equal? SOLUTION: No PROBLEM: Sentence1: 'two people that are flying a kite on a hill', Sentence2: 'a person with ripped jeans on riding on a skateboard'. Is the frequency of the word 'skateboard' in two sentences equal? SOLUTION:
No
8
NIv2
task159_check_frequency_of_words_in_sentence_pair
fs_opt
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The task is about translation from Telugu to English. While performing the translation you must preserve the original meaning. Do not include any words which are only limited to your native place. Q: బాయ్, మీరు మీరు చెల్లించే ఎవరు అనుకుంటున్నారు? A:
Boy, who do you think is paying you?
4
NIv2
task1324_open_subtitles_te_en_translation
zs_opt
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In this task, a passage will be given and the goal is to identify an event from the passage. An event is defined as a single word representing something that happened, is happening, or may happen. An event can be factual or hypothetical, positive or negative, certain or uncertain. While most events are based on verbs, an event can also be based on a noun (ex. storm, snow, rainfall) or a copula verb (is, was, been, etc.). The event must not be a pronoun or an adjective. For noun events with multiple words, use the last word in the phrase as event. [EX Q]: Passage: Gonzalez's lawyer, Greg Craig, asked for a visa Thursday for his client for the expected visit, but was told by U.S. State Department officials that Gonzalez himself had to apply for the visa at the U.S. diplomatic mission in Havana. ``Juan Miguel Gonzalez is ready at a moment's notice to come to the United States,'' said Craig. [EX A]: asked [EX Q]: Passage: BLOCKBUSTER ENTERTAINMENT CORP. said it raised $92 million from an offering of liquid yield option notes. The gross proceeds from the sale of the notes, which will be due on Nov. 1, 2004, will be used to reduce existing debt and for general corporate purposes, the company said. [EX A]: said [EX Q]: Passage: Under the deal, APL, the number two US firm, will retain its name and brand in the marketplace and will continue operations headed by its existing management in Oakland, California. "This merger in no way lessens APL's commitment to the US flag and American seafaring labor," said APL president Timothy Rhein. [EX A]:
deal
6
NIv2
task388_torque_token_classification
fs_opt
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instruction: In this task, given a sentence in the Thai language, your task is to convert it into the English language. question: อย่างไรก็ตาม ตอนนี้พวกเขาได้มีความล่าช้ากว่ากำหนดที่ตั้งไว้ และการหารือ Geneva ก็ดูเหมือนจะไม่มีความคืบหน้า answer: However, they are now behind the deadlines they set and the Geneva meeting saw no progress. question: ทัวร์นาเมนต์นี้กำลังจะเริ่มต้นที่แอฟริกาใต้ในวันที่ 11 มิถุนายน 2010 และแข่งขันนานหนึ่งเดือน answer: The tournament is due to start in South Africa on the June 11, 2010 and last for one month. question: การฆ่าตัวตายเพิ่มขึ้นมากตั้งแต่ได้มีการเข้าไปดำเนินมาตรการฉุกเฉินเมื่อห้าปีที่แล้วเพื่อตอบสนองต่อรายงานในหัวข้อLittle Children are Sacred ซึ่งเป็นบทความตีแผ่การทารุณกรรมทางเพศต่อเด็กในเขตปกครองตนเองนอร์เทิร์นเทร์ริทอรี และความล้มเหลวของทางการในการดำเนินมาตรการรับมืออย่างเหมาะสม answer:
There has been a significant increase since an emergency intervention five years ago in response to a report titled Little Children are Sacred which documented widespread sexual abuse of Northern Territory children and failures by authorities to adequately respond.
9
NIv2
task537_alt_translation_th_en
fs_opt
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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 happens before 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. One example: Head: PersonX swims at the local pool<sep>Tail: PersonX learns a new way of swimming Solution is here: Yes Explanation: This is a good example. The Head happens before the Tail. Now, solve this: Head: PersonX keeps up appearances<sep>Tail: PersonX is physically exhausted after keeping up appearances Solution:
Yes
6
NIv2
task1206_atomic_classification_isbefore
fs_opt
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You will be given a definition of a task first, then some input of the task. Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command. For commands, 'left' and 'right' are used to denote the direction of an action. The word 'opposite' turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. Actions and commands do not have quotations in the input and output. turn right twice after turn left Output:
I_TURN_LEFT I_TURN_RIGHT I_TURN_RIGHT
1
NIv2
task126_scan_structured_text_generation_command_action_all
zs_opt
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Instructions: In this task, you are given a sentence in the Spanish language. Your task is to translate the Spanish sentence into the English language. Input: ¿A qué se refiere el muestreo intersesional utilizado en las técnicas de observación Output:
What does the intersessional sampling used in observation techniques refer to
3
NIv2
task1433_head_qa_language_translation_es_to_en
zs_opt
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Instructions: In this task you will be given a list of numbers. You should remove any number that is not an integer (whole number). If every number is not an whole number then an empty list ("[]") should be returned. Otherwise, answer with the list of whole numbers separated by comma inside brackets. Input: [10.026, 16.949, -13.052, -26.634, -51, 41, 5.88, -60, 4] Output:
[-51, 41, -60, 4]
3
NIv2
task367_synthetic_remove_floats
zs_opt
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Detailed Instructions: In this task you will be given a string and you should find the longest substring that is a palindrome. A palindrome is a string that is the same backwards as it is forwards. If the shortest possible palindrome is length 1 you should return the first character. Q: amaaamimamm A:
maaam
9
NIv2
task850_synthetic_longest_palindrome
zs_opt
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You will be given a definition of a task first, then some input of the task. You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew. A estrutura comeza a saír onde vemos algo parecido a un comportamento fraccional das palabras e da linguaxe que usamos para describir as cousas que son importantes para nós por todo o mundo. Output:
המבנה מתחיל להתגלות איפה שאנחנו רואים סוג של התנהגות פרקטלית של המילים והשפה שאנחנו משתמשים לתאר את הדברים שחשובים לנו בכל העולם.
1
NIv2
task1242_ted_translation_gl_he
zs_opt
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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. Amelia entered the attic. Mason entered the attic. The apple is in the green_suitcase. Amelia moved the apple to the blue_box. Amelia entered the basement. Owen entered the basement. The pear is in the red_bottle. Amelia moved the pear to the red_pantry. Mason entered the living_room. Amelia entered the living_room. The asparagus is in the red_box. Mason moved the asparagus to the blue_crate. Emily entered the playroom. Mason entered the playroom. The orange is in the green_drawer. Emily moved the orange to the green_envelope. Where was the orange at the beginning? green_drawer Owen entered the bedroom. Elizabeth entered the bedroom. The tomato is in the red_treasure_chest. Elizabeth exited the bedroom. Owen moved the tomato to the blue_suitcase. Owen exited the bedroom. Elizabeth entered the bedroom. Jack entered the bedroom. Owen entered the bedroom. The tomato is in the blue_suitcase. Owen exited the bedroom. Jack moved the tomato to the red_treasure_chest. Jack exited the bedroom. Owen entered the bedroom. Owen entered the lounge. Olivia entered the lounge. The green_pepper is in the green_box. Olivia exited the lounge. Owen moved the green_pepper to the green_drawer. Owen exited the lounge. Olivia entered the lounge. Jack entered the crawlspace. Elizabeth entered the crawlspace. The corn is in the blue_container. Elizabeth exited the crawlspace. Jack moved the corn to the red_bottle. Jack exited the crawlspace. Elizabeth entered the crawlspace. Where was the corn at the beginning? blue_container Oliver entered the office. James entered the office. The orange is in the green_box. James exited the office. Oliver moved the orange to the green_drawer. Amelia entered the den. James entered the den. The watermelon is in the red_treasure_chest. James exited the den. Amelia moved the watermelon to the red_bottle. Amelia entered the garden. Liam entered the garden. The banana is in the red_pantry. Liam exited the garden. Amelia moved the banana to the red_crate. Liam entered the den. Oliver entered the den. The spinach is in the red_bottle. Oliver exited the den. Liam moved the spinach to the red_treasure_chest. Where does Liam think that Oliver searches for the spinach?
red_bottle
0
NIv2
task153_tomqa_find_location_hard_clean
fs_opt
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In this task, you are given a text from tweets and a boolean question whether this tweet has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no". One example: Tweet: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it Question: is it a positive tweet? Solution is here: yes Explanation: There is an expression of happiness in this tweet text, hence, we can say it's positive. So answer is 'yes'. Now, solve this: Tweet: @aDeSe it certainly isn't &quot;only&quot; 26 I wanted to be 22 forever, but kya karoon - time is flying fast! Question: is it a positive tweet? Solution:
no
6
NIv2
task196_sentiment140_answer_generation
fs_opt
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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. [EX Q]: Article: Pets are popular. They're good listeners, they encourage us to exercise, and they're always on our side when we argue with others. They can bring people comfort and pleasure. But it is important to keep in mind that pets can carry diseases that can make you sick. Washing your hands often -- especially after you touch, feed, or clean up a pet -- is the best way to keep yourself healthy and prevent the spread of disease. Be sure to clean your fingernails carefully every time you wash. You also can protect your health by wearing gloves while cleaning animal cages or cat litter boxes. Avoid washing your pet in the bathtub , but if you do, always disinfect the tub immediately afterward. Be sure to bring your pet to the hospital for examinations every two weeks or month and whenever your pet is sick or injured. You can do a few other things to keep yourself and your pet healthy. Only give your pet food that has been planned ahead for them. It's not a good idea to share your food with your pet. Human food (like chocolate) can make animals sick. Never feed your pet raw meat because it can carry germs that cause serious illness. And funny as it can be to see your dog or cat drinking from the toilet, don't let pets do this. It's bad for your pet's health! Give them clean, fresh water to drink at all times. Never give milk to cats. The only milk an animal should drink is from its mother. Cow's milk is not for pets, especially for cats, as _ makes them sick. Finally, some animals aren't pets. Don't take in a wild or abandoned animal as a pet because it may have diseases that could make you or your family sick. Instead, turn to an animal rescue group that is trained in helping sick or abandoned animals. Question: To keep healthy, the author may be against _ . Options: (A) washing your fingernails after touching your pet (B) wearing gloves when cleaning your pet's cage (C) washing your pet in the bathtub (D) bringing your pet for examinations regularly Asnwer: C [EX A]: Yes [EX Q]: Article: YOU probably think you know about London's problems. The people are unfriendly, it's way too expensive, and the food is terrible - so why do so many tourists flock there? London was named the world's most popular city between July and September 2013. It _ other world-famous cities such as New York and Paris, welcoming 4.9 million visitors, according to the UK Office for National Statistics. Amazingly, this was an increase of almost 19.5 percent on 2012 - the year when the Olympics happened in summer. So can London's success be explained? Well, maybe. As the English writer Samuel Johnson once said, "when a man is tired of London, he is tired of life". London life is often crazy and expensive, but if you can think of something, you can probably do it there. Anywhere in the city, you can often look around a great museum such as the British Museum, watch a concert at a historic venue like the Royal Albert Hall, or dance the night away in a cool nightclub such as Fabric. And it's not just about culture - there are also world-famous sporting venues around the city. Many tourists like to watch soccer matches at stadiums such as Chelsea's Stamford Bridge, Arsenal's Emirates Stadium, or Tottenham's White Hart Lane. Tourists even came to watch British tennis player Andy Murray's famous victory at the Wimbledon tennis tournament in 2013. Yes, but what about the food? Well, even if you don't like British food - and if you've never had real fish and chips, or a summer pudding, then perhaps you should wait until you've tried them - there is plenty of great food from all over the world available in London's many restaurants. London, like many of its buildings, has a long history, but also never lacks a vibrant pulse . All over the city, history and modernity come together to make it an essential place for tourists to discover. Question: What is the author's main purpose in writing the article? Options: (A) To show the effects of the 2012 London Olympics. (B) To analyze why London appeals to tourists. (C) To compare London with other world-famous cities. (D) To talk about common problems in London. Asnwer: B [EX A]: Yes [EX Q]: Article: Not being the best but touching the limits of your ability. This belief came from my third grade teacher, the most trusted and loved person in my life. Mr. Myrus was always perfectly dressed and spoke with the conviction that talking to small kids didn't mean that he had to sacrifice proper pronunciation or grammar. And he was demanding. Oh, he wasn't unreasonable or cruel; he simply felt that no matter what your best was, you should achieve it. As luck would have it, I met him again as my eighth grade math teacher. I was not, nor ever will be, gifted in math. And thirteen-year-old girls do not have the energy to devote to something like square roots . I remember our struggles, "I don't know the answer. I can't do it.!" "Perhaps you don't know the answer," he would say quietly. "Do you think we might figure it out together? How do you know what you can do until you try?" Mr. Myrus lived around the corner, and I would often stop by to talk while he worked in his wood shop. In this room of sawdust, wood chips, and the smoke from the woodburning stove, I felt respected and valued as a person. I knew there was someone who liked me for who I was, someone who, while he always wanted me to do my best, let me know that if I had really tried, that was enough. Mr. Myrus was my teacher and my friend. He taught me to be kind. He taught me my own value. He taught me about honor, about truth, and about doing my best--and that all feelings and beliefs have dignity and deserve respect. And of all the things I know, this I believe: We can't all be "the" best, but we can, each of us, be our best, and I know that's true because Mr. Myrus told me. Question: When did Mr.Myrus first become the author's teacher? Options: (A) When she was eight years old. (B) When she was in the fifth grade. (C) When she was thirteen years old. (D) When she was in the eighth grade. Asnwer: A [EX A]:
Yes
6
NIv2
task310_race_classification
fs_opt
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Teacher:In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the alphabetical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no alphabetical element is in the list. Teacher: Now, understand the problem? Solve this instance: ['7465', 'L', '7343', '8097', '2721', 'k', '9245', 'M', '4569', '4351', '3997', 'T', '4091', '639', '2377', 'm', '9349', '1767', '6149', '5425', '8599', 'g', '8799', '515', 's', 'a', 'f', '8921'] Student:
2, 6, 8, 12, 16, 22, 25, 26, 27
6
NIv2
task506_position_of_all_alphabetical_elements_in_list
zs_opt
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Teacher:You will be given a passage with an enumerated set of facts, a question of form 'Where is <person_name>?', and its answer. The task is to identify a supporting fact that is necessary to answer the question. The output would be the corresponding fact number. Teacher: Now, understand the problem? Solve this instance: Passage: Fact 1- John went back to the garden. Fact 2- Sandra went back to the bedroom. Fact 3- Sandra went to the bathroom. Fact 4- John went back to the kitchen. Fact 5- Mary went back to the hallway. Fact 6- Daniel travelled to the kitchen. Question: Where is Daniel? Answer: kitchen Student:
Fact 6
6
NIv2
task084_babi_t1_single_supporting_fact_identify_relevant_fact
zs_opt
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In this task, you have to identify the named entities (NER) which are the ingredients required given its directions. Named entities are the names of the items without their quantity. Example Input: With an electric mixer on medium-high speed, beat butter and cream cheese until fluffy, 2 to 3 minutes., Reduce speed to low., Add sugar, 1/2 cup at a time, and then vanilla, and mix until smooth and combined, scraping down sides of bowl as needed., If not using immediately, frosting can be refrigerated up to 3 days in an airtight container; before using, bring to room temperature, and beat on low speed until smooth again. Example Output: unsalted butter, cream cheese, confectioners sugar, vanilla Example Input: Add all ingredients to beaten eggs. Put in 2-quart casserole, greased. Set dish in a pan with 1-inch of water. Bake at 350° for 1 hour. Example Output: clams, crackers, eggs, milk, cream of mushroom soup, butter Example Input: Cook beef in large skillet over medium-high heat until meat is brown, stirring to separate meat., Drain fat., Add spaghetti sauce., Reduce heat to low., Heat through, stirring occasionally. Set aside., Combine cottage cheese and sour cream in medium bowl; blend well. Example Output:
ground beef, cottage cheese, lasagna noodles, Parmesan cheese, water, spaghetti sauce, sour cream, Mozzarella cheese
3
NIv2
task571_recipe_nlg_ner_generation
fs_opt
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Q: Given a scientific passage and an answer, generate a question for the given answer. Passage: The goal of technology is to solve people’s problems. Therefore, the problems of society generally set the direction that technology takes. Technology, in turn, affects society. It may make people’s lives easier or healthier. Two examples are described in Figure below . Answer: problems of society A:
What generally sets the direction that technology takes?
7
NIv2
task594_sciq_question_generation
zs_opt
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In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each citing text. The correct answer is the holding statement that corresponds to the citing text. You should write an incorrect option. Even though there exist multiple wrong answers, we only need a single wrong answer. There is a <HOLDING> token in the position of the citing text prompt where the holding statement was extracted. the future because she continues to own and operate Helping Hands and intends to remain in the childcare services profession. Docket No. 17 at ¶ 112. She posits no other basis for establishing her standing to seek prospective relief against the Secretary. Docket No. 26 at 6-9. Her status as the owner and operator of a child-care facility does not provide her with standing to seek the declaratory and injunctive relief that she seeks. Mosby v. Ligon, 418 F.3d 927, 933-934 (8th Cir.2005) (recognizing that an attorney’s status as a member of the bar does not afford him or her standing to prospectively attack the implementation of the professional disciplinary procedures applicable to attorneys practicing in a particular jurisdiction); Brown v. Fauver, 819 F.2d 395, 400, n. 5 (3d Cir.1987) (<HOLDING>). Burns does not allege that she has been Holding statements: (A) holding that counsel cannot raise his or her own ineffectiveness (B) holding that plaintiff must on his or her own initiative prove that the product reached him or her without substantial change (C) holding that for a legal malpractice claim to accrue a plaintiff need not know the precise extent of his or her damages or even have suffered all of the damages attributable to his or her attorneys negligence (D) holding that a prisoner cannot establish his or her standing to prospectively challenge the validity of a facilitys disciplinary procedures simply by referring to his or her status as an individual incarcerated in that facility (E) holding that an expert can comply with the timing requirement if an experts research even after his or her deposition revealed that the standard of care in his or her community was the same or similar to the standard of care in the community in which he or she is testifying when the injury occurred holding that counsel cannot raise his or her own ineffectiveness preventing employee from "working in any geographic space in which [employer] operates” where employer had interest in confidential information); Advanced Cable Ties, Inc. v. Hewes, No. 061995B, 2006 WL 3292810, at *1-2 (Mass.Super.Ct. Oct. 19, 2006) (lack of geographic scope restriction in non-compete not fatal to enforcement of restrictive covenant when employer was national company). 17 . See Miller Mech., Inc. v. Ruth, 300 So.2d 11, 12-13 (Fla.1974) (citing Kenco Chem. and Manufacturing Co. v. Railey, 286 So.2d 272 (Fla. 1st DCA 1973)); Flickenger v. R.J. Fitzgerald & Co., Inc., 732 So.2d 33, 35 (Fla. 2d DCA 1999); Balasco v. Gulf Holding, Inc., 707 So.2d 858, 860 (Fla. 2d DCA 1998); see also Health Care Financial Enterprises, Inc. v. Levy, 715 So.2d 341, 343 (Fla. 4th DCA 1998) (<HOLDING>). 18 .Under Florida law, courts are required to Holding statements: (A) holding that a court may only enforce a settlement agreement if it constitutes an enforceable contract (B) holding that trial court is without authority to modify a settlement agreement but may enforce and interpret it (C) recognizing court has authority to modify agreement to cure any unreasonable provision as to duration or scope (D) holding that court may not refuse to enforce noncompete agreement solely because geographical area is unreasonable but rather must modify unreasonable restriction and enforce agreement as modified (E) holding an employer may partially enforce a noncompete agreement to the extent it is reasonable under the circumstances holding that a court may only enforce a settlement agreement if it constitutes an enforceable contract Deveaux court held that “the time of issuance was a technical irregularity which did not affect defendant’s substantial rights.” Id. The court explained that the defendant’s constitutional rights were not violated or disturbed where, inter alia, the officer’s complaint for a search warrant was supported by an affidavit describing the place to be searched and the person and things to be seized, the defendant made no claim that the warrant lacked probable cause, and the officer executed the search after obtaining the warrant. Id. Finally, in Montana, which has a standalone constitutional provision recognizing the right to individual privacy, the misdating of a search warrant will not necessarily render the warrant invalid. See State v. Steffes, 269 Mont. 214, 887 P.2d 1196, 1210 (1994) (<HOLDING>). In sum, the clerical error in the instant Holding statements: (A) holding that evidence obtained from a search made subsequent to an illegal stop was admissible when before the search the police officer discovered that there was an outstanding arrest warrant for the defendant and the defendant was thereupon arrested pursuant to that warrant (B) holding that where the search warrant was misdated june 19 1991 and was executed on june 18 1991 the misdating was merely technical and did not affect the substantial rights of the defendant (C) holding that if trial courts verdict was based on hearsay statements of victim admitted in violation of the confrontation clause the error clearly would not only affect substantial rights but would seriously affect the fairness and integrity of the proceedings (D) holding unconstitutional a search executed on a warrant that failed to list with particularity the items to be seized even where the supporting application contained such a list and the warrant was approved by a magistrate (E) holding that the failure to properly caption and verify a petition did not affect the substantial rights of the parties
holding that evidence obtained from a search made subsequent to an illegal stop was admissible when before the search the police officer discovered that there was an outstanding arrest warrant for the defendant and the defendant was thereupon arrested pursuant to that warrant
0
NIv2
task287_casehold_legal_incorrect_answer_generation
fs_opt
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In this task you will be given a string that only contains single digit numbers spelled out. The input string will not contain spaces between the different numbers. Your task is to return the number that the string spells out. The string will spell out each digit of the number for example '1726' will be 'oneseventwosix' instead of 'one thousand seven hundred six'. Example Input: threefourtwonineninefiveonezeronineninefour Example Output: 34299510994 Example Input: twonineoneonefive Example Output: 29115 Example Input: twofoursixoneonenineseveneight Example Output:
24611978
3
NIv2
task1443_string_to_number
fs_opt
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Given a sentence in Somali language, translate the sentence to English language keeping the meaning of the original sentence intact Somali sentence: Kanu waa eraygii Eebe wuxuu isticmaalaa waa "Hijaratin" oo macnihiisu yahay "Dhagaxyo" - iyo ogaansho Eebe waa run.
The word Allah uses is "Hijaratin" which means "stones" -- and the knowledge of Allah is the truth.
0
NIv2
task450_opus_paracrawl_so_en_translation
zs_opt
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In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. The passage is unrelated if it does not convey a stereotype or anti-stereotype. You are expected to classify the passage into three classes: stereotype, anti-stereotype, and unrelated. Example: Passage: The game-winning football player is very aggressive. Example solution: Stereotype Example explanation: It is a stereotype because we have a standardized image that game-winning players are commonly aggresive. There is no mention of the football player's aggresive behavior. Problem: Passage: The Japanese bombed Pearl Harbor They are dedicated and passionate about the land of the rising sun.
Solution: Anti-stereotype
5
NIv2
task279_stereoset_classification_stereotype
fs_opt
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Detailed Instructions: 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...'. See one example below: Problem: Prompt: I'm glad you came into my office today, young man. Look around you. Everything that's in here, I purchased. Response: Wow! You own everything in this office? Solution: yes Explanation: This is correct answer because response is in support with the prompt and extends the context from prompt. Problem: Prompt: I didn't mean in the ground, I just meant that no one was at the funeral. Response: We could have stayed home, dad. It just seems like a weird day to go to The Price is Right. Solution:
no
4
NIv2
task361_spolin_yesand_prompt_response_classification
fs_opt
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In this task you are given a sentence. You must judge whether subject of the main clause is singular or plural. Label the instances as "Singular" or "Plural" based on your judgment. Example input: Coming from a xenophobic race that possesses the unique ability to pass among other species and chooses not to, the bounty hunter is a walking contradiction. Example output: Singular Example explanation: "the bounty hunter" is the subject of the sentence which is singular. Q: Your claims are, in theory, a sufficient explanation for the events which have taken place. A:
Plural
3
NIv2
task430_senteval_subject_count
fs_opt
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Definition: You are given a sentence in Italian. Your job is to translate the Italian sentence into English. Input: E infatti queste sono molte delle comunità semi-deserte che si vedono oggi. Output:
And in fact, these are many of the half-vacant communities that you see today.
2
NIv2
task1247_ted_translation_it_en
zs_opt
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Detailed Instructions: In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story; note that the selected choices may fit into the story at any point. Indicate your selected choices in order, i.e., as 'ab'/'bc'/'ac' and not as 'ba'/'ca'/'cb'. If options are equally plausible, pick the ones that make more sense. Problem:Title: Spencer and Sarah wanted a baby. She prepared herself well. She gave birth nine months later! Choices: a. Sarah eventually got pregnant. b. They tried for a few months. c. Tim noticed he felt less pain after receiving massages. Solution:
ab
8
NIv2
task221_rocstories_two_choice_classification
zs_opt
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You will be given a definition of a task first, then some input of the task. In this task, you are given a sentence in English and your task is to translate it into Spanish. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name). Whether we are talking about beef to France or about backhanders to industry, EU Member States must not be allowed to flout the law. Output:
Ya se trate de la carne de bovino en el caso de Francia o de sobornos a la industria, no se debe permitir que los Estados miembros incumplan la ley.
1
NIv2
task530_europarl_en_es_translation
zs_opt
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In this task you are given a medical question pair hand-generated. Your task is to classify a given post into two categories 1) 'Similar' if the given two questions have a same connotation 2) 'Dissimilar' if the given two questions have a different connotation or meaning. Sentence1: How can I get my eye to get better? Sentence2: How can I help treat my eye and get better vision?
Similar
0
NIv2
task1645_medical_question_pair_dataset_text_classification
zs_opt
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Given an abstract of a paper, generate a title for this paper such that conveys the key focus of the paper. Example Input: Abstract: Six subjects (25.3 +/- 3.3 yr, mean +/- SD) exercised for 60 min at 42 +/- 4 [low (L)], 55 +/- 6 [moderate (M)], and 67 +/- 4 %VO2max [high (H)] in a moderate environment. Sweat collected from upper back (UB), lower back (LB), midchest (MC), stomach (S), and thigh (T) areas as well as by whole-body washdown (W) was analyzed for urea nitrogen (N). With the exception of the L where all regional measures were similar, all sites overestimated W (several significantly, P less than 0.05). Regression analysis estimations of W (mg/h) from regional collections were as follows--L: W = 0.727 (S) - 1.366(UB) + 1.181(T) + 65.470 +/- 29.5, R = 0.90; M: W = 0.598(MC) - 0.649(UB) + 0.244(LB) + 43.238 +/- 30.4, R = 0.99; H: W = 0.274(S) - 0.560(T) + 0.223(MC) + 131.104 +/- 4.3, R = 0.99; All Intensities: W = 0.497(MC) - 0.483(T) + 0.112(LB) + 69.554 +/- 31.5, R = 0.96. W recovery of exogenous urea N applied to each subject's body was 98.3 +/- 2.7% (mean +/- SE). Interinvestigator reliability coefficient (r = 0.511) was significant (P less than 0.01) but relatively low and the between investigator urea N recovery (93.3 +/- 3.7 vs. 103.2 +/- 3.5%) was significantly different (P less than 0.05). Repeated W determinations by the same investigator were not different (P greater than 0.05), but intrainvestigator reliability coefficients differed widely (0.385 vs. 0.820). Together, these data indicate that W solute recovery can be high; however, both inter- and intrainvestigator reliability can vary.(ABSTRACT TRUNCATED AT 250 WORDS) Example Output: Validity/reliability of sweat analysis by whole-body washdown vs. regional collections. Example Input: Abstract: In six spontaneously breathing anesthetized dogs (pentobarbital sodium, 30 mg/kg) airflow, volume, and tracheal and esophageal pressures were measured. The active and passive mechanical properties of the total respiratory system, lung, and chest wall were calculated. The average passive values of respiratory system, lung, and chest wall elastances amounted to, respectively, 50.1, 32.3, and 17.7 cmH2O X l-1. Resistive pressure-vs.-flow relationships for the relaxed respiratory system, lung, and chest wall were also determined; a linear relationship was found for the former (the total passive intrinsic resistance averaged 4.1 cmH2O X l-1 X s), whereas power functions best described the others: the pulmonary pressure-flow relationship exhibited an upward concavity, which for the chest wall presented an upward convexity. The average active elastance and resistance of the respiratory system were, respectively, 64.0 cmH2O X l-1 and 5.4 cmH2O X l-1 X s. The greater active impedance reflects pressure losses due to force-length and force-velocity properties of the inspiratory muscles and those due to distortion of the respiratory system from its relaxed configuration. Example Output: Active and passive respiratory mechanics in anesthetized dogs. Example Input: Abstract: We developed a highly sensitive and specific assay for hCG using monoclonal antibodies (Mabs) directed against a 37-amino acid synthetic polypeptide analogous to the carboxyl-terminus (CTP) of beta hCG. Five antibodies that varied by either their affinity for beta hCG or their specificity for epitopes on CTP were investigated. To measure hormone levels, we used as the radiolabeled indicator an alpha-subunit-reactive Mab. The monoclonal-immunoradiometric assay had a lower limit of sensitivity of 0.05 ng/ml. Serum levels of hCG or hCG-like material with CTP structure were measured in 229 healthy blood donors; 1.1% of healthy men and 4.6% of nonpregnant women younger than 50 yr had serum values varying between 0.05 and 0.23 ng/ml. Moreover, 6 to 7 healthy women older than 50 yr had detectable levels in the 0.05-0.20 ng/ml range. To study the disappearance rates in normal women, we followed serum hCG serum levels of 6 women who had previously received a single im injection of the hormone. These individuals failed to develop a pregnancy after in vitro fertilization; hCG declined from 0.5 to 0.05 ng/ml within 2 weeks. These results were in contrast to the findings in 12 patients with hCG-producing tumors. In 9 patients without any evidence of recurrent disease, hCG levels became undetectable within 5 months. However, 3 others had levels consistently above 0.05 but below 0.5 ng/ml. In 2 of these three patients, subsequent increasing hCG levels were associated with tumor recurrence. We conclude that this hCG assay based on both anti-peptide and anti-hCG Mabs may be useful in tumor monitoring. Example Output:
Sensitive and specific assay for human chorionic gonadotropin (hCG) based on anti-peptide and anti-hCG monoclonal antibodies: construction and clinical implications.
3
NIv2
task619_ohsumed_abstract_title_generation
fs_opt
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Definition: Languages typically provide more than one grammatical construction to express certain types of messages. Your task is to generate a senetence with the same meaning as given sentence, but with different grammatical construction. Input: Juan howled a man the song Output:
Juan howled the song to a man
2
NIv2
task132_dais_text_modification
zs_opt
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Detailed Instructions: The input is a tweet which can be Hate Speech or Offensive. Given such a tweet, output a phrase from the tweet that makes it hate speech or offensive. The output should contain only one such phrase. The output has to be from within the tweet itself. Do not generate words or phrases not present in the tweet. Problem:<user> not the dykest of dykes getting brave Solution:
dykest of dykes
8
NIv2
task1504_hatexplain_answer_generation
zs_opt
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Q: Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact. Tagalog sentence: Hindi nilalaman sa teorya na ito na walang katibayan, siya suportado ito sa pamamagitan ng pagkakatulad sa mga korteng kono palawit. A:
Not content with this theory without evidence, he supported it by analogy with the conical pendulum.
7
NIv2
task451_opus_paracrawl_tl_en_translation
zs_opt
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Definition: 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. Input: I have always purchased Star-Kist tuna but thought I would try this brand for a change of pace. The taste of the tuna was not pleasant, too much basil and other spices for me. Output:
3
2
NIv2
task588_amazonfood_rating_classification
zs_opt
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You will be given a definition of a task first, then some input of the task. Translate from Hindi to English such that it preserves the original meaning Perform complete translation (partially translated sentences are considered incorrect). चलो, मुझे मारो! Output:
Go on, hit me!
1
NIv2
task1323_open_subtitles_hi_en_translation
zs_opt
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Given the task definition and input, reply with output. In this task, you are given a sentence from the research paper and the category to which it belongs. Your task is to classify whether the given category is correct or not by providing "True" and "False", respectively. Here are the definitions for the categories: Background (Why is this problem important? What relevant works have been created before? What is still missing in the previous works? What are the high-level research questions? How might this help other research or researchers?), Purpose (What specific things do the researchers want to do? What specific knowledge do the researchers want to gain? What specific hypothesis do the researchers want to test?), Method (How did the researchers do the work or find what they sought? What are the procedures and steps of the research?), or Finding (What did the researchers find out? Did the proposed methods work? Did the thing behave as the researchers expected?). ", Sentence: a Delphi process was used to define the essential topics including protection of patients and staff. Section: method
True
5
NIv2
task1164_coda19_section_correction_classification
zs_opt
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Detailed Instructions: In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it. Your job is to determine which sentence(s) from the passage can be used to search for further information needed to answer the question. Problem:Question: Was Kontinen's mixed doubles partner at Wimbledon older than his male doubles partner? Passage:His good results continued in 2016 as he won the title at the Brisbane International in January with John Peers. On April–May they won the BMW Open together. At the 2016 Wimbledon Championships he reached quarterfinals of the men's doubles tournament together with Peers and the final of the mixed doubles with Heather Watson, which they won in straight sets. On July Kontinen and Peers won the German Open Tennis Championships. On August Kontinen won the Winstom-Salem Open playing with Guillermo García-López. It was Kontinen's 10th doubles title in his career. He took the victory of St. Petersburg Open with Dominic Inglot. Kontinen and Peers had a successful end for the year as they won their first Masters title at Paris Masters and the season ending ATP World Tour Finals title. Kontinen reached the top 10 in rankings as a first Finnish tennis player ever. Solution:
At the 2016 Wimbledon Championships he reached quarterfinals of the men's doubles tournament together with Peers and the final of the mixed doubles with Heather Watson, which they won in straight sets
8
NIv2
task234_iirc_passage_line_answer_generation
zs_opt
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Detailed Instructions: In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonY or others will be affected as mentioned in the Tail or not. These effects are social actions that may occur after the Head event. For example, X may get hugged, and Y may blush in response. 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 always wore ___<sep>Tail: to be consistent A:
No
9
NIv2
task1196_atomic_classification_oeffect
zs_opt
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Instructions: In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural language interpretation. Define body (contains a collection of statements that define what the this logical operator does) of each logical operator between '{}' parenthesis. Here are the definitions of logical operators that you can use while generating command: 1. count: returns the number of rows in the view. 2. only: returns whether there is exactly one row in the view. 3. hop: returns the value under the header column of the row. 4. and: returns the boolean operation result of two arguments. 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. 7. argmax/argmin: returns the row with the max/min value in header column. 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. 9. eq/not_eq: returns if the two arguments are equal. 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. 11. greater/less: returns if the first argument is greater/less than the second argument. 12. diff: returns the difference between two arguments. 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. 16. filter_all: returns the view itself for the case of describing the whole table 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument. Input: the sum of the score record of all rows is 12 . Output:
round_eq { sum { all_rows ; score } ; 12 }
3
NIv2
task210_logic2text_structured_text_generation
zs_opt
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Q: Given a document, find the main entity about whom the author is writing. Write the full name if mentioned in the text. Note that URLs in the text have been replaced with [Link]. Letitia Wright You may know her from: The AMC show “Humans” and December’s “Black Mirror” finale on Netflix “Black Museum” Where you’ll see her this year: Playing Princess Shuri the half-sister of Chadwick Boseman’s title character in the highly anticipated Marvel movie “Black Panther ” as well as in roles in Steven Spielberg’s “Ready Player One ” the Liam Neeson thriller “The Commuter” and as Shuri again in “Avengers: Infinity War” Why she ’s a standout: A Londoner who was born in Guyana the 24-year-old actress is a rare overtly religious Christian in Hollywood. Wright has said she ’s prioritized God over roles in the past: “I gave my life to Christ and I thought that would be it for me and he was like ‘No you’re not finished with acting acting is not finished with you ’” she told Women’s Wear Daily. She has also been an ardent advocate for more positive black roles in the film industry. “Shuri is one of the most exciting characters I’ve been blessed to portray ” Wright tells The Post. “I’m looking forward to the positive impact her love for technology and science will have on the younger generation. Being a part of the film feels kind of like history in the making!” You may know him from: His breakout performance in the 2012 Matthew McConaughey indie “Mud” and his role as Cyclops in 2016’s “X-Men: Apocalypse” Where you’ll see him this year: Starring in Steven Spielberg’s retro-tastic sci-fi thriller “Ready Player One” and the next X-Men movie “Dark Phoenix” Why he ’s a standout: Sheridan got his start working with auteur Terrence Malick on “Tree of Life” at the early age of 10 but he didn’t go into the business a film-obsessed kid: “I grew up in the middle of Texas in a very rural area so we were always outside fishing or playing a sport — we were never in front of a TV watching films ” he told the Independent. The square-jawed 21-year-old actor brings an ease and authenticity to his roles that should make him the perfect centerpiece to Spielberg’s otherwise-highly-CGI’d film about virtual-reality gaming. A:
Letitia Wright
7
NIv2
task419_persent_answer_generation
zs_opt
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In this task, you are given a sentence which is either in the Gujarati language or English language. You task is to identify the language of input sentence. Input sentence can be in Gujarari or English language only and also it cannot have two languages at a time. Two transit trains are pulled up at a station with passengers walking alongside.
English
0
NIv2
task441_eng_guj_parallel_corpus_gu-en_language_identification
zs_opt
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Detailed Instructions: Generate an explanation for the given claim using the provided supporting material from the paragraph. Please consider the following points while generating an output. 1) The claim will always have supporting proof in the paragraph, and the paragraph will have a clear point of view supporting the claim. 2) There can be instances where direct correlation to the claim is not available. Make use of the sentences in the paragraph to provide a corresponding output supporting the claim. 3) The explanation should be at least one and at most twelve sentences long. Problem:Paragraph: The heavier the infection, the more likely the women were to deliver younger, sicker infants, the team at Stanford University in California found. “If we could prevent these infections in the first place, or detect them sooner, we might one day be able to prevent some of these premature births,” Dr. Dan DiGiulio, who worked on the study, said in a statement. More and more children are being born prematurely in the United States, with 12 percent of births coming before the 37th week of gestation. Premature babies are vulnerable to breathing problems, underdeveloped organs, infections and cerebral palsy. DiGiulio’s team looked for the DNA of germs in amniotic fluid samples collected from 166 women in pre-term labor at the Detroit Medical Center between October 1998 and December 2002. They used this method and standard laboratory cultures to determine that 25 of the 166 samples were infected with either bacteria or fungi. They also found at least one unknown organism that could be a new species. All 25 of the women with infected amniotic fluid went on to deliver their babies pre-term, while 53 of the women with no infections were able to stop their labor. Now the team is working to see if infections can be detected before pre-term labor starts, which could lead to new prevention or treatment approaches. Claim: Infections may cause many premature births: study. Solution:
Undiagnosed infections may be causing a significant number of premature births, researchers reported on Monday after finding bacteria or fungi in 15 percent of the amniotic fluid samples taken from women in pre-term labor.
8
NIv2
task1369_healthfact_sentence_generation
zs_opt
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Part 1. Definition Given a sentence in French, generate a new French sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true. Part 2. Example Tomber amoureux, c'est comme manger un chocolat. Answer: Tomber amoureux, c'est comme allumer un bar de vacances. Explanation: This is a good change in the sentence, because it is semantically similar to the input as both are talking about falling in love and the created sentence follows the commonsense knowledge. Part 3. Exercise Les cheveux gras refuseraient que vous vouliez aller pour une coupe de cheveux. Answer:
Un long raid vous ferait menacer de manger pour une coupe de cheveux.
7
NIv2
task406_mickey_fr_sentence_perturbation_generation
fs_opt
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Instructions: You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters. Input: Category: FOOD & DRINK Clue: Before the introduction of Diet Coke, this was he leading diet soft drink in the U.S. Output:
tab
3
NIv2
task307_jeopardy_answer_generation_final
zs_opt
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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: Sentence1: Rick grew up in a troubled household. Sentence2: He never found good support in family, and turned to gangs. Sentence3: It wasn't long before Rick got shot in a robbery. Sentence4: The incident caused him to turn a new leaf. Example solution: He is happy now. Example explanation: As mentioned in last sentence, the incident turned a new leaf to Rick's life; this part completes the story properly. Problem: Sentence1: Don was mingling at a black tie party with office people. Sentence2: He was schmoozing the crowd while he decided to take a seat. Sentence3: He forgot he has slipped a champagne flute into his back pocket. Sentence4: When he sat down the glass shattered, splintering into his buttocks.
Solution: Don was carried out of the high class party on a stretcher.
5
NIv2
task105_story_cloze-rocstories_sentence_generation
fs_opt
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Detailed Instructions: In this task, you are given a statement spoken by a politician in natural language. Your task is to generate the subject of the discussion for the given statement. The subject generated is not necessarily a part of the given input. Your answer should contain one or more words. Problem:Says Gov. Rick Scott cut nearly $1 million from mosquito control and closed down the states mosquito research lab a few years ago. Solution:
state-budget
8
NIv2
task613_politifact_text_generation
zs_opt
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In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-explicit if it explicitly portrays sexual matters. Comment: Obama traded 5 high level terrorists for this traitor. Non-sexual-explicit Comment: The penis is one organ of waste extraction. You can have an orgasm in the other one. None of it is as straightforward as you claim. But then again, neither is sex. Sexual-explicit Comment: Sure we remember the Oklahoma City bombing which killed 168 people. But since 1980 muslims have killed about 3200 civilians in America (including 9/11) while non- muslims have killed about 200, including the 168 in Oklahoma. Now in order to assess risk, you have to take population into account - muslims are only 1% of the population and non muslims are 99%. Adjusting for this, a muslim is more than 1000 times as likely to cause a terrorist death versus a non muslim.
Non-sexual-explicit
0
NIv2
task323_jigsaw_classification_sexually_explicit
fs_opt
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You are given a sentence in Polish. Your job is to translate the Polish sentence into Japanese. Example Input: Emanują szczęściem. Jesteście zaskoczeni. Example Output: 彼らは幸せに溢れていて驚かされます Example Input: [Nauka dla ogólnego dobra] Wcześniej wierzono, że wiedza naukowa powinna służyć władcom lub zyskowi jednostki. Example Output: 『公益のための科学』かつて科学知識は王や女王のため ― あるいは個人の利益のために使われるべきとされていました Example Input: Następnie spróbowałem pisać słowa na laptopie i wykorzystywać głos, będący częścią oprogramowania. Example Output:
それからラップトップに打ち始め合成音声に切り替えました
3
NIv2
task1257_ted_translation_pl_ja
fs_opt
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Given the task definition, example input & output, solve the new input case. In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is. Example: The first two were found unreliable and the prosecution case rested mainly on the evidence of the remaining five approvers . Output: पहले दो को अविश्वसनीय मानकर बाकी पांच मुखबिरों के आधार पर मुकदमा चलाया गया| English sentence is properly converted into Hindi sentence because the input also says that the first two were judged to be untrustworthy, thus the prosecution relied heavily on the testimony of the remaining five approvers. New input case for you: Spokesmen for industries, which are polluting, are trying to continue with the (weak) standards, whereas world health advisors are joined in supporting the implementation of scientific recommendations. Output:
प्रदूषणकारी उद्योगों की पैरोकारी ( कमजोर ) मानकों को चालू रखने के लिए प्रयासरत है पर्यावरणविद् और लोक स्वास्थ्य सलाहकार वैज्ञानिक सिफ़ारिशों के अनुपालन समर्थन के लिए जुटे हुए हैं।
1
NIv2
task425_hindienglish_corpora_en_hi_translation
fs_opt
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Q: In this task, you're expected to write answers to questions involving multiple references to the same entity. The answer to the question should be unambiguous and a phrase in the paragraph. Most questions can have only one correct answer. Passage: Brink has recently taken Pud's (Bobs Watson) parents in an auto wreck. Brink later comes for Gramps. Believing Brink to be an ordinary stranger, the crotchety old Gramps orders Mr. Brink off the property. Pud comes out of the house and asks who the stranger was. Gramps is surprised and relieved that someone else could see the stranger; he was not merely a dream or apparition. Pud tells Gramps that when he does a good deed, he will be able to make a wish. Because his apples are constantly being stolen, Gramps wishes that anyone who climbs up his apple tree will have to stay there until he permits them to climb down. Pud inadvertently tests the wish when he has trouble coming down from the tree himself, becoming free only when Gramps says he can. Pud's busybody Aunt Demetria has designs on Pud and the money left him by his parents. Gramps spends much time fending off her efforts to adopt the boy. Brink takes Granny Nellie in a peaceful death just after she finishes a bit of knitting. When Mr. Brink returns again for Gramps, the old man finally realizes who his visitor is. Determined not to leave Pud to Demetria, Gramps tricks Mr. Brink into climbing the apple tree. While stuck in the tree, he cannot take Gramps or anyone else. The only way anyone or anything can die is if Gramps touches Mr. Brink or the apple tree. Demetria plots to have Gramps committed to a psychiatric hospital when he claims that Death is trapped in his apple tree. Gramps proves his story first by proving that his doctor, Dr. Evans, can not even kill a fly they have captured. He offers further proof of his power by shooting Mr. Grimes, the orderly who has come to take him to the asylum; Grimes lives when he should have died. Question: Who tells the crotchety old man about the wish that ends up catching Death? A:
Pud.
7
NIv2
task002_quoref_answer_generation
zs_opt
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Write a correct answer to the given question based on its associated fact. Make sure that your answer is contained in the associated fact. Don't be creative and introduce any new word that is not mentioned in the associated fact! Remember that the associated fact has been rearranged to form the question. So, the correct answer words must lie within the associated fact. The correct answer can be a word, phrase, or even a sentence. Ex Input: Fact: Thyroxine increase the rate of metabolism in cells throughout the body. Question: What increases the rate of metabolism in cells throughout the body? Ex Output: Thyroxine. Ex Input: Fact: cell division is how humans grow and repair themselves. Question: what uses cell division to grow and repair themselves? Ex Output: humans. Ex Input: Fact: Excision can be used to fix dna mutations. Question: What is one method of fixing DNA mutations? Ex Output:
Excision.
1
NIv2
task041_qasc_answer_generation
fs_opt
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Detailed Instructions: In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review. Problem:I hacked the heck out of the bracket and welded on another piece to make a custom mount for my Ham Radio faceplate. Install fit and finish were fantastic. Solution:
positive
8
NIv2
task1312_amazonreview_polarity_classification
zs_opt
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In this task you are given a sentence. You must judge whether the main verb of the sentence is in present or past tense. Label the instances as "Present" or "Past" based on your judgment. If there is no verb in the given text, answer "Present". One example is below. Q: She shone her light around the space, following the glow of the flashlight's ray along the walls. A: Past Rationale: The verb "shone" is in past tense. Q: She breathes as she sees my face emerge from the door. A:
Present
9
NIv2
task429_senteval_tense
fs_opt
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You will be given a definition of a task first, then some input of the task. Generate an overlapping word between the given two sentences. When you find the overlapping words, they don't have to match exactly, e.g., "survival" and "survive" are valid overlapping words. Little words like "the" or "of" don't count! You must generate significant words which are not the stop words. Sentence1: rain causes erosion. Sentence2: With the rain comes floods, and with the floods come erosion and landslides. Output:
erosion
1
NIv2
task039_qasc_find_overlapping_words
zs_opt
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In this task, you are given inputs k, i, and A, where k and i are integers and A is a list. You need to find every ith element of A starting from the kth element. The process stops when the position of the next ith element exceeds the length of the list. Let me give you an example: 2, 3, ['a', '34', 'f', '931', '7', '3432', '13245', '762'] The answer to this example can be: 34, 7, 762 Here is why: Here, starting from 2nd element every 3rd element from the list are '34', '7', and '762'. OK. solve this: 1, 3, ['6239', '1791', 'V', '1393', '1937', 'F', '5759', 'U', '7453', 'Z', 's'] Answer:
6239, 1393, 5759, Z
8
NIv2
task1551_every_ith_element_from_kth_element
fs_opt
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Instructions: The given sentence contains a typo which could be one of the following four types: (1) swapped letters of a word e.g. 'niec' is a typo of the word 'nice'. (2) missing letter in a word e.g. 'nic' is a typo of the word 'nice'. (3) extra letter in a word e.g. 'nicce' is a typo of the word 'nice'. (4) replaced letter in a word e.g 'nicr' is a typo of the word 'nice'. You need to identify the typo in the given sentence. To do this, answer with the word containing the typo. Input: A boty is riding on a horse that is galloping Output:
boty
3
NIv2
task088_identify_typo_verification
zs_opt
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In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appear in the input may help you generate more accurate questions. Select: A select step is used to return a set of objects. There are no references to previous steps in a select step. template: Return [attributes] Filter: A filter step is used to return results from a previous step to which a certain condition applies. template: Return [#step] [condition] Project: A project step should return certain attributes of the results of a previous step. template: Return [attributes] of [#step] Aggregate: An aggregate step returns an aggregator function applied on a step's result. template: Return the [aggregator] of [#step]. Group: A group step is an aggregator applied on attributes. template: Return the [aggregator] of [#step] for each [attribute] Superlative: A superlative step is used to return the result with a highest/lowest attribute among other results. template: Return [#step1] [where] [#step2] [is] [highest / lowest] Comparative: A comparative step is used when we need to compare an attribute with a number to filter results. template: Return [#step1] [where] [#step2] [comparator] [number] Union: A union step is used to return results of two steps together. template: Return [#step1] [or / ,] [#step2] Intersection: An intersection step returns the result that two steps have in common. template: Return [attribute] of both [#step1] and [#step2] Discard: A discard step returns result of a step and excludes result of another step from it. template: Return [#step1] besides [#step2] Sort: A sort returns result of another step in a specific order. template: Return [#step1] [ordered / sorted by] [#step2] Is true: An is true step checks a condition on another result and returns a true or false. template: Return [is / if] [condition] Arithmetic: An arithmatic step operates an arithmatic operation on one or more steps. template: Return the [arithmetic op.] of [#step1] [and] [#step2]. One example: #1 return secretaries #2 return #1 born in state 'Alabama #3 return departments managed by #2 #4 return distinct creation years of #3 Solution is here: What are the distinct creation years of the departments managed by a secretary born in state 'Alabama'? Explanation: You should follow the steps in order to realize what is the asked question. In this example, the first returned entities are secretaries(based on step #1) who are born in Alabama(based on step #2). In the step #3 departments managed by step #2(which is secretaries born in Alabama. In the final steps the creation years of the departments is returned, so the question will be about the creation years of the departments. Now, solve this: #1 return the 2007 Gotham Screen Film Festival & Screenplay Contest #2 return where was #1 #3 return #2 that is where Madoff lives in NYC Solution:
Where did the 2007 Gotham Screen Film Festival & Screenplay Contest and is where Madoff lives in NYC?
6
NIv2
task184_break_generate_question
fs_opt
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In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'. Let me give you an example: Dialogue 1: 'when did i called u ugly pony when did you ever call fuck u ur rlly a mad person asshole rnda bc'. Dialogue 2: 'go to dhapar math do sl maths a lot of places don't like maths studies it's amazing'. The answer to this example can be: no Here is why: The first dialogue is an angry dialogue and the second dialogue is a happy dialogue. Therefore, they are not the same emotion so the output is 'no'. So this is a good example. OK. solve this: Dialogue 1: 'no i'm not sleep now yes you are here is morning'. Dialogue 2: 'mood off hey why can't tell you'. Answer:
no
8
NIv2
task518_emo_different_dialogue_emotions
fs_opt
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Part 1. Definition You are given two sentences. You have to find if there is entailment or agreement of the Hypothesis by the Premise. From the given pair of sentences, you should identify if there is enough information in the Premise to support the claim made in the Hypothesis. The Premise may not exactly be the same as Hypothesis. Your task is to return 'entails' if the premise supports hypothesis else return 'neutral'. Part 2. Example Premise: Lyme Disease is caused by a bacterium that's transmitted by tick bite, but many infected people don't remember a bite. Hypothesis: Lyme disease is caused by bacteria. Answer: entails Explanation: The premise sentence agrees with the hypothesis that Lyme Disease is a bacterium. The premise also gives additional information about Lyme disease. Therefore Premise entails Hypothesis. Part 3. Exercise Premise: A watershed is an area of land drained by a waterbody such as a stream or river. Hypothesis: All of the land drained by a river system is called its basin, or the "wet" term watershed Answer:
entails
7
NIv2
task1529_scitail1.1_classification
fs_opt
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A text is given in Oriya. Translate it from the Oriya language to the Panjabi language. The translation must not omit or add information to the original sentence. Input: Consider Input: ਬੱਸ ਵਾਲੇ ਨੂੰ ਕਹਿੰਦੇ ਹਾਂ ਕਿ ਬੱਸ ਸਟੇਸ਼ਨ ਬਣਾਓ । ਏਅਰ ਪੋਰਟ ’ਤੇ ਜਹਾਜ਼ ਆਉਂਦਾ ਹੈ, ਕੀ ਮੈਂ ਜਹਾਜ਼ ਵਾਲੇ ਨੂੰ ਕਹਿੰਦਾ ਹਾਂ ਕਿ ਏਅਰ ਪੋਰਟ ਬਣਾਓ, ਏਅਰ ਪੋਰਟ ਸਰਕਾਰ ਬਣਾਉਂਦੀ ਹੈ, ਬੱਸ ਸਟੇਸ਼ਨ ਸਰਕਾਰ ਬਣਾਂਦੀ ਹੈ, ਰੋਡ ਸਰਕਾਰ ਬਣਾਉਂਦੀ ਹੈ । ਉਸ ਉੱਪਰ ਦੌੜਨ ਵਾਸਤੇ ਪ੍ਰਾਈਵੇਟ ਲੋਕ ਵਪਾਰ ਲਈ ਆਉਂਦੇ ਹਨ । ਰੋ-ਰੋ ਫ਼ੈਰੀ ਸਰਵਿਸ ਵਿੱਚ ਉਨ੍ਹਾਂ ਨੇ ਕਹਿ ਦਿੱਤਾ ਕਿ Jetty ਬਣਾਉਣੀ ਹੈ, ਉਸ ਦਾ ਪੋਰਟ ਬਣਾਉਣਾ ਹੈ, ਤੁਸੀਂ ਕਰਨਾ ਹੈ ਤਾਂ ਕਰੋ, ਇਹ ਸਮੁੰਦਰ ਦਾ ਕਿਨਾਰਾ ਹੈ, ਇਹ ਪਾਣੀ ਹੈ, ਅੱਗੇ ਵਧੋ । ਕੌਣ ਵਧੇਗਾ ਭਾਈ ? Output: ସାଥୀଗଣ, ଆମ ଦେଶରେ 7,500 କିଲୋମିଟର ସାମୁଦ୍ରିକ ଉପକୂଳ ଆଉ 14,500 କିଲୋମିଟର ଆଭ୍ୟନ୍ତରୀଣ ଜଳପଥ ଅଛି, ଅର୍ଥାତ ଚିରସ୍ରୋତା ନଦୀମାନଙ୍କରେ ଜଳପଥ ଉପଲବ୍ଧ ଅଛି । ଗୋଟିଏ ପ୍ରକାରରେ ମାଆ ଭାରତୀ ଆମକୁ ଆଗରୁ ହିଁ 21,000 କିଲୋମିଟରର ଜଳମାର୍ଗ ଦେଇ ରଖିଛନ୍ତି । ବର୍ଷବର୍ଷ ଧରି ଆମେ ଏହି ଗୁପ୍ତଧନ ଉପରେ ଚକା ମାଡ଼ି ବସି ରହିଲେ ଆଉ ଏହା ବୁଝି ପାରିଲେ ନାହିଁ କି ଏହାର ବ୍ୟବହାର କିପରି କରିବା ତାହା ଜାଣିପାରିଲେନି । Input: Consider Input: ਬੰਗਲਾਦੇਸ਼ ਲਈ ਰਿਆਇਤੀ ਵਿੱਤੀ ਪ੍ਰਣਾਲੀ ਨਾਲ ਭਾਰਤ ਅਤੇ ਬੰਗਲਾਦੇਸ਼ ਦਰਮਿਆਨ ਦੁਵੱਲੇ ਸਬੰਧ ਅਤੇ ਸਹਿਯੋਗ ਮਜ਼ਬੂਤ ਹੋਏਗਾ। Output: ମେ ୫ରେ ଏହିପରି ଏକ ଗସ୍ତରେ ମନ୍ତ୍ରୀ କୋଲକାତା ଯିବେ । ଏହି ଗସ୍ତ ସମୟରେ ମନ୍ତ୍ରୀ ଫିଫା 17 ବର୍ଷରୁ କମ ବିଶ୍ୱକପ ପ୍ରତିଯୋଗିତା ଓ ଅଭ୍ୟାସ ପାଇଁ ସ୍ଥିର କରାଯାଇଥିବା ଗ୍ରାଉଣ୍ଡକୁ ବୁଲି ଦେଖିଯିବାର ସମ୍ଭାବନା ରହିଛି । Input: Consider Input: ਪ੍ਰਧਾਨ ਮੰਤਰੀ ਨੇ ਜ਼ੋਰ ਦੇ ਕੇ ਕਿਹਾ ਕਿ ਕੇਂਦਰ ਸਰਕਾਰ ਇਹ ਯਕੀਨੀ ਬਣਾਉਣ ਲਈ ਕੰਮ ਕਰ ਰਹੀ ਹੈ ਕਿ ਇਸ ਸਕੀਮ ਵਿਚ ਕੋਈ ਵਿਚੋਲਾ ਸ਼ਾਮਲ ਨਾ ਹੋਵੇ ਅਤੇ ਲਾਭਾਰਥੀਆਂ ਦੀ ਚੋਣ ਪਾਰਦਰਸ਼ੀ ਢੰਗ ਰਾਹੀਂ ਕੀਤੀ ਜਾਂਦੀ ਹੈ।
Output: ଆତ୍ମ ନିଯୁକ୍ତି ଉପରେ ଗୁରୁତ୍ୱ ପ୍ରଦାନ କରି ପ୍ରଧାନମନ୍ତ୍ରୀ କହିଲେ ଯେ ଏବେ ଆତ୍ମନିଯୁକ୍ତ ହେବା ଏକ ଗର୍ବର ବିଷୟ ଏବଂ ଏହା ପୂର୍ବରୁ ଅସମ୍ଭବ ମନେ ହେଉଥିବା ବିଷୟକୁ ଲୋକମାନେ ହାସଲ କରିବାରେ ସହାୟତା ପ୍ରଦାନ କରିଛି ।
2
NIv2
task1040_pib_translation_punjabi_oriya
fs_opt
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You will be given a definition of a task first, then some input of the task. In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English. این است نگارگرى الهى؛ و کیست خوش‌نگارتر از خدا؟ و ما او را پرستندگانیم. Output:
We have taken the colouring of God; and whose shade is better than God's? Him alone we worship.
1
NIv2
task657_quran_fa_en_translation
zs_opt
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Given a sentence in the Thai, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is. ช่วงสิบปีแรกเธอต้องแข่งขันกับรายการทอร์คโชว์อื่น โดยพูดถึงเรื่องความสัมพันธ์ของผู้คนและเรื่องราวที่เกี่ยวข้อง 最初の10年間、彼女は他のトークショーと競い合って、お互いの関連性や似通った話題について議論していた。 ภายใต้ระบบการเลือกตั้งสัดส่วนแบบผสมของนิวซีแลนด์ พรรคการเมืองจำเป็นต้องได้ที่นั่งในสภาจากการเลือกตั้งแบบแบ่งเขต หรือต้องได้คะแนนเสียงร้อยละ 5 ในการลงคะแนนเลือกพรรคการเมือง เพื่อที่จะได้มาซึ่งที่นั่งในรัฐสภาซึ่งมีทั้งหมด 120 ที่นั่ง ニュージーランドの小選挙区比例代表併用制では、党は、120の議席の中で席を得るためには選挙区の議席かまたは党の得票を5%勝ち取らなければならない。 Barbaro ได้รับบาดเจ็บรุนแรงที่ขาหลังข้างขวาหลังจากเริ่มการแข่งขัน Preakness Stakes ปี 2006 ไม่เพียงไม่นาน
バーバロは、2006年のプリークネス・ステークスの始まった直後、右後脚に大きな怪我を負った。
0
NIv2
task1128_alt_th_ja_translation
fs_opt
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In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to return one of the emotions which are expressed by the Character in the given sentence. For that you can use the Context; however, Context is not provided in all the inputs. Also, in some inputs, there can be zero emotion; for that return 'None'. Let me give you an example: Context: A cook was carrying an armful of oranged in the kitchen. Sentence: He dropped one on the floor by accident. Character: Cook The answer to this example can be: annoyed Here is why: The cook dropped one orange on the floor, so, he must feel annoyed at that time. OK. solve this: Context: I dated a legally blind person in 1979. Sentence: She had very little vision due to retinitis pigmentosa. Character: Waiter Answer:
None
8
NIv2
task293_storycommonsense_emotion_text_generation
fs_opt
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Teacher:In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to determine which two sentences need to be swapped sentences in order to make a story that makes complete sense and is befittingly titled. Indicate your answer using the numbers of the two sentences in order, such as '34' or '25'. The first digit refers to the sentence which should come first in the story. Teacher: Now, understand the problem? Solve this instance: Title: Charles the Driver. Sentence 1: Charles was driving his limousine at work last week. Sentence 2: He was given a ride from his boss that was across town. Sentence 3: Charles had to drive all the way back into town empty handed. Sentence 4: The guest told Charles that the trip was actually not until tomorrow. Sentence 5: After arriving at the house an hour later he tried to call the guest. Student:
53
6
NIv2
task218_rocstories_swap_order_answer_generation
zs_opt
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Detailed Instructions: In this task, you're given an article and an answer. Your task is to generate the fill-in-the-blank question for this answer based on the given article. The blanks are always at the end of the question, and can be filled with more than one word or phrase. See one example below: Problem: Article: Homework can put you in a badmood , and that might actually be a good thing. Researchers from the University of Plymouth in England doubted whether mood might affect the way kids learn. To find out the answer, they did two experiments with children. The first experiment tested 30 kids. Someshapes were hidden inside a different, larger picture. The kids had to find the small shapes while sitting in a room with either cheerful or sad music playing in the background. To test their mood, the scientists asked the kids to point to one of five faces, from happy to sad. Children who listened to cheerful music tended to point to the smiley faces while the others pointed to the unhappy ones. The researchers found that sad kids took at least a second less to find the small shapes. They also found an average of three or four more shapes. In the second experiment, 61 children watched one of two scenes from a film. One scene was happy, and the other was sad. Just like in the first experiment, kids who saw the sad scene acted better compared to the others. The researchers guessed that feeling down makes people more likely to focus on a problem or difficult situation. Not all scientists agree with them, however. Other studies argued that maybe, that cheerful music in the first experiment distracted kids from finding shapes. While scientists work on finding out the answers, it still might be wise to choose when to do your tasks according to your mood. After eating a delicious ice cream, for example, write an essay. Answer: whether mood affects their learning ability Solution: Researchers did experiments on kids in order to find out _ . Explanation: It is clearly mentioned in the article that to the check effect of mood on children is the main purpose of the experiment. Problem: Article: Bill Gates, the billionaire Microsoft chairman without a single earned university degree, is by his success raising new doubts about the worth of the business world's favorite academic title: the MBA (Master of Business Administration). The MBA, a 20thcentury product, always has borne the mark of lowly commerce and greed on the tree-lined campuses ruled by purer disciplines such as philosophy and literature. But even with the recession apparently cutting down the hiring of business school graduates, about 79,000 people are expected to receive MBAs in 1993. This is nearly 16 times the number of business graduates in 1960. "If you are going into the corporate world it is still a disadvantage not to have one," said Donald Morrison, professor of marketing and management science. "But in the last five years or so, when someone says, 'Should I attempt to get an MBA?' the answer a lot more is: It depends." The success of Bill Gates and other non-MBAs, such as the late Sam Walton of Wal-Mart Stores Inc., has helped inspire self-conscious debates on business school campuses over the worth of a business degree and whether management skills can be taught. The Harvard Business Review printed a lively, fictional exchange of letters to dramatize complaints about business degree holders. The article called MBA hires "extremely disappointing" and said "MBAs want to move up too fast, they don't understand politics and people, and they aren't able to function as part of a team until their third year. But by then, they're out looking for other jobs." The problem, most participants in the debate acknowledge, is that the MBA has acquired an aura of future riches and power far beyond its actual importance and usefulness. Business people who have hired or worked with MBAs say those with the degrees of ten know how to analyze systems but are not so skillful at motivating people. "They don't get a lot of grounding in the people side of the business", said James Shaffer, vice-president and principal of the Towers Perrin management consulting firm. Answer: the success of many non-MBAs Solution:
. It seems that the argument over the value of MBA degrees had been fueled mainly by _ .
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task649_race_blank_question_generation
fs_opt
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You will be given a definition of a task first, then some input of the task. Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage. Context: Amphetamine (AMPH)-like stimulants represent an intensively studied class of psychoactive drugs. Despite the well-known and potent arousal-enhancing effects of these drugs, the neurobiological substrates of AMPH-induced arousal have rarely been examined explicitly. Activity of the locus coeruleus-noradrenergic system is causally and positively related to behavioral and electroencephalographic (EEG) indices of arousal. For example, activation of locus coeruleus neurons or stimulation of medial basal forebrain noradrenergic beta-receptors elicits activation of forebrain EEG in the anesthetized rat. Further, stimulation of noradrenergic beta-receptors within the medial basal forebrain elicits a substantial increase in alert, active waking. These and other observations suggest that at least some of the arousal-enhancing actions of AMPH-like stimulants derive from AMPH-induced increases in noradrenergic neurotransmission at beta-receptors. The current study examines the extent to which AMPH-induced activation of cortical EEG is dependent on actions of central beta-receptors.', 'The effects of intracerebroventricular (ICV; 2 microl) pretreatment with either vehicle (artificial extracellular fluid) or the beta-antagonist, timolol (25, 50 or 100 microg), on the cortical EEG activating effects of intravenous AMPH (0.15 mg/kg) were examined in the halothane-anesthetized rat. EEG was recorded on polygraph and video recording tape and later analyzed using power spectral analyses (PSA). AMPH-induced alteration in cortical EEG activity was measured using PSA in vehicle- and timolol-pretreated animals.', 'Neither vehicle nor timolol ICV infusions altered cortical EEG activity patterns. In vehicle-pretreated animals, AMPH elicited a robust activation of cortical EEG, characterized by the substantial decrease in large-amplitude, slow-wave activity. Timolol pretreatment dose-dependently prevented AMPH-induced cortical EEG activation. This effect of timolol was statistically significant at the 50 microg and 100 microg dose. Answer: These observations indicate that, under these experimental conditions, AMPH-induced activation of the forebrain is dependent on actions of noradrenergic beta-receptors. Combined with previous observations, these observations support the hypothesis that AMPH-induced increases in arousal involve noradrenergic neurotransmission at beta-receptors. Output:
Is amphetamine-induced activation of forebrain EEG prevented by noradrenergic beta-receptor blockade in the halothane-anesthetized rat?
1
NIv2
task845_pubmedqa_question_generation
zs_opt
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Given a sentence in Somali language, translate the sentence to English language keeping the meaning of the original sentence intact Example Input: Somali sentence: Maanta waxaan ku qori article ah oo ku saabsan Clash Royale Hack Without Human Verification . Example Output: Today we write an article about Clash Royale Hack Without Human Verification. If you are looking for Clash Royale Hack you are on the right place! Keep reading this article, Clash Royale Hack Without Human Verificationand you will get what you are looking for. Example Input: Somali sentence: 11 Markaasay Nimco waxay tidhi, Iska noqda, gabdhahaygiiyow, bal maxaad ii raacaysaan? Ma wiilal kalaa uurkayga ku hadhay oo niman idiin noqonaya? Example Output: 11 But she answered them: Return, my daughters: why come ye with me? have I any more sons in my womb, that you may hope for husbands of me? Example Input: Somali sentence: 12:17 Markaasaa Daa'uud u baxay inuu iyaga ka hor tago, oo isna wuxuu yidhi: "Haddii aad si nabad ah soo gaaray, si ay u noqon i caawin, waxaa laga yaabaa in qalbigaygu ha idinku darmadeen; laakiinse haddaad i gacangelin inaad cadaawayaashayda, in kastoo aan lahayn xumaanu gacmahayga, laga yaabaa in Ilaaha awowayaasheen taas ha fiiriyo oo garsoore. Example Output:
12:17 And David went out to meet them, and he said: “If you have arrived peacefully, so as to be a help to me, may my heart be joined to you; but if to betray me to my adversaries, though I have no iniquity in my hands, may the God of our fathers see and judge.”
3
NIv2
task450_opus_paracrawl_so_en_translation
fs_opt
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You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian. Q: Słuchaj. A:
E ascolta.
4
NIv2
task1262_ted_translation_pl_it
zs_opt
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You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task. In this task, you are given a sentence in Persian, and your task is to translate it into English. ۵۲٪ از کاربران رایانه دارای دانش رایانه‌ای هستند. Solution: 52% of computer users are Internet literate. Why? This is a good example. The above sentence is correctly translated from Persian to English. New input: عکسی از میرحسین موسوی در سال ۲۰۰۹منبع: بلاگ سبزین‌تن - با کسب اجازه Solution:
Mir Hossien Mousavi, 2009. Source: Sabzintan blog. Used with permission.
0
NIv2
task662_global_voices_fa_en_translation
fs_opt
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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 Tail is the intention of the PersonX from the Head or not. The intention is the likely intent or desire of PersonX behind the execution of an event. For example, given the Head PersonX gives PersonY gifts, an intention might be that PersonX wanted to be thoughtful. 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 affords another ___<sep>Tail: to shop for more shoes [A]: No [Q]: Head: PersonX asks PersonY to play<sep>Tail: to take a break from playing. [A]: No [Q]: Head: PersonX becomes PersonY wife<sep>Tail: also happy [A]:
No
5
NIv2
task1201_atomic_classification_xintent
fs_opt
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Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Polish. Problem:I was fascinated by this phenomenon, so I wondered: could one erase the image of Diana, actually quite crudely and physically? Solution:
Ten fenomen mnie zafascynował. Więc zaczęłam się zastanawiać: czy można fizycznie usunąć wizerunek Diany?
8
NIv2
task1092_ted_translation_en_pl
zs_opt
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Detailed Instructions: In this task, you're given an article and an answer. Your task is to generate the fill-in-the-blank question for this answer based on the given article. The blanks are always at the end of the question, and can be filled with more than one word or phrase. Problem:Article: The common cold is the world's most widespread illness, which is probably why there are more myths(,) about it than any of the other illnesses. The most widespread mistake of all is that colds are caused by cold.They are not.They are caused by viruses passing on from person to person.You catch a cold by coming into contact, directly or indirectly, with someone who already has one.If cold causes colds, it would be reasonable to expect the Eskimos to suffer from them forever.But they do not.And in isolated Arctic regions explorers have reported being free from colds until coming into contact again with infected people from the outside world by way of packages and mail dropped from airplanes. At the Common Cold Research Unit in England, volunteers took part in Experiments in which they gave themselves to the discomforts of being cold and wet for long stretches of time.After taking hot baths, they put on bathing suits, allowed themselves to be doused with cold water, and then stood about dripping wet in drafty rooms.Some wore wet socks all day while others exercised in the rain until close to exhaustion.Not one of the volunteers came down with a cold unless a cold virus was actually dropped in his nose. If cold and wet have nothing to do with catching colds, why are they more frequent in the winter? In spite of the most painstaking research, no one has yet found the answer.One explanation offered by scientists is that people tend to stay together indoors more in cold weather than at other times, and this makes it easier for cold viruses to be passed on. No one has yet found a cure for the cold.There are drugs and pain suppressors such as aspirin, but all they do is to relieve the symptoms. Answer: the idea that cold leads to colds doesn't stand up Solution:
The fact that the Eskimos don't suffer colds shows that _ .
8
NIv2
task649_race_blank_question_generation
zs_opt
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Instructions: In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'. Input: Dialogue 1: 'please stop seriously why should i tell you please tell me if you consider me friend nope i didn't interested in making a ai robot a friend'. Dialogue 2: 'csk vs mi earlier match i am asking ahe dengau'. Output:
yes
3
NIv2
task518_emo_different_dialogue_emotions
zs_opt
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Teacher:Given a sentence in the Thai, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is. Teacher: Now, understand the problem? Solve this instance: สนามกีฬาโอลิมเปียโบราณ อันเป็นที่เกิดของมหกรรมกีฬาโอลิมปิกก็ถูกคุกคามโดยเปลวเพลิง แต่บรรดานักผจญเพลิงได้ปกป้องสถานที่นี้ให้ปลอดภัยได้ Student:
オリンピックの発祥地である古代オリンピアにも脅威が及んだが、消防士はこの場所の安全を守った。
6
NIv2
task1128_alt_th_ja_translation
zs_opt
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In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content. -------- Question: My dad would be so proud. Drink that Jack Daniels love u dad Answer: positive Question: Thank you for the #ff @medic_ray @mosaicmuse @lizziboo_etsy Answer: positive Question: so bored!! Answer:
negative
7
NIv2
task195_sentiment140_classification
fs_opt
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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: The season finale for season 12 had how many fewer viewers than season 11? (Answer: 7.2 million). A: Quantity. **** Q: Question: How many contestants were eliminated during the first week after the judges save? (Answer: two). A: Location. **** Q: Question: Where do doctors perform microorganism identification testing? (Answer: laboratory). A:
Date. ****
4
NIv2
task046_miscellaneous_question_typing
fs_opt
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In this task, given a sentence in the English language, your task is to convert it into the Hindi language. Q: The internationally-focused newscast created a stir upon its launch in 1999, but has since expanded with online viewers in 172 nations. A:
अंतर्राष्ट्रीय स्तर पर केंद्रित न्यूज़कास्ट ने 1999 में अपने लॉन्च पर हलचल मचा दी थी, लेकिन तब से ऑनलाइन दर्शकों के साथ 172 देशों में विस्तार किया है।
4
NIv2
task558_alt_translation_en_hi
zs_opt
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In this task, you need to answer the given multiple-choice question on the physics. Classify your answers into 'a', 'b', 'c', 'd', and 'e'. One example is below. Q: Problem: walking at 5 / 6 th of its usual speed a cab is 15 mnts late . find its usual time to cover the journey ? Options: a ) 25 m , b ) 45 m , c ) 32 m , d ) 75 m , e ) 62 m A: d Rationale: New speed = 5 / 6 th of usual speed new time = 6 / 5 th of usual time 6 / 5 ut - ut = 15 m ut / 5 = 15 m ut = 75 m answer is d Q: Problem: a and b together can do a piece of work in 6 days and a alone can do it in 12 days . in how many days can b alone can do it ? Options: a ) 11 days , b ) 15 days , c ) 12 days , d ) 21 days , e ) 22 days A:
c
9
NIv2
task1422_mathqa_physics
fs_opt
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