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Given a passage as input, answer with the category to which the passage belongs. There are 5 categories - Sports and Fitness, Home and Garden, Hobbies and Crafts, Food and Entertaining, Cars & Other Vehicles. The answer should be one of the categories based on words from the passage which closely belong to the category. Example Input: Locate the drain trap. Give the dishwasher a manual scrub. Fill a large dishwasher proof bowl with white vinegar. Wipe down all the surfaces after the wash. Test drive the clean.Repeat this cleaning process regularly in order to prevent soap scum build up. Example Output: Home and Garden Example Input: Choose a better storage container, and pour the sugar in there. Choose one that features a tightly-fitting lid. Scoop out only the amount of sugar you need (and no more) when scooping out sugar for your ingredients list.Make sure the sugar bowl is dry, as any water may bind two or more sugar-grains together.Choose a place that has very low humidity; usually far away from the stove in the kitchen. Reduce the moisture that may exist in your kitchen or storage place. Example Output: Food and Entertaining Example Input: Mix the glue, water and clove oil together. Paint the mixture over your terracotta pots. Allow to dry in sunshine.Wash the paintbrush and bowl for next time. Example Output:
Home and Garden
3
NIv2
task1630_openpi_classification
fs_opt
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Definition: In this task, you need to output 'Yes' if the given number is a prime number otherwise output 'No'. A 'prime number' is a a whole number above 1 that can not be made by multiplying other whole numbers. Input: 58821 Output:
No
2
NIv2
task092_check_prime_classification
zs_opt
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In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story incoherent / implausible by indicating 1 or 2 in the output. If both sentences are plausible, pick the one that makes less sense. Ex Input: Beginning: Wilber thought Mexico was part of the United States. Middle 1: Wilber did not understand the explanation. Middle 2: Wilber understood the explanation. Ending: Wilber is still hopelessly confused. Ex Output: 2 Ex Input: Beginning: Dan wanted to go dancing. Middle 1: Dan decided to dance at his favorite pub. Middle 2: Dan decided to dance at his favorite club. Ending: Dan had a great time dancing to his favorite song at the club. Ex Output: 1 Ex Input: Beginning: Gina had finally gained traction on the icy hill. Middle 1: Gina was hoping the sled didn't stay on the track. Middle 2: Gina was hoping the sled stayed on track. Ending: At the last moment she turned onto the shoulder and missed the bus. Ex Output:
1
1
NIv2
task070_abductivenli_incorrect_classification
fs_opt
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In this task, you're given four sentences of a story written in natural language, and one last sentence (Sentence5). Your job is to classify whether the last sentence completes the rest of the story coherently or not by providing 'Yes' or 'No'. [EX Q]: Sentence1: Jim was taking out the garbage. Sentence2: He slipped on a piece of ice on the sidewalk. Sentence3: Jim fell down hard onto the pavement. Sentence4: Jim felt something break on his arm. Sentence5: Jim decided to do a handstand. [EX A]: No [EX Q]: Sentence1: Alex ran across town to get to a friends house. Sentence2: He didn't know his shoe was untied. Sentence3: He had ran for three block when it happened. Sentence4: He tripped on that shoelace of his. Sentence5: Alex resolved to always check his shoelaces before leaving. [EX A]: Yes [EX Q]: Sentence1: Early every morning the hummingbirds visit my porch. Sentence2: Today as I watched them they seemed agitated. Sentence3: One particular bird was acting very territorial. Sentence4: Suddenly a big black bird swooped in from out of nowhere. Sentence5: I shot the rat and tossed the body into the garbage. [EX A]:
No
6
NIv2
task298_storycloze_correct_end_classification
fs_opt
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Q: In this task, you are given a question and an answer. Answer "Yes" if the given answer correctly answers the question, otherwise answer "No". who wrote serenity prayer, Answer: The Serenity Prayer is the common name for an originally untitled prayer by the American theologian Reinhold Niebuhr (1892–1971). A:
Yes
7
NIv2
task1294_wiki_qa_answer_verification
zs_opt
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Detailed Instructions: In this task, you will be presented with a context from an academic paper and a question separated with a . You have to answer the question based on the context. Problem:The aim of this study is to provide empirical evidence indicating that leveraging open data sources of german texts, automated political bias prediction is possible with above chance accuracy. Question: Which countries and languages do the political speeches and manifestos come from? Solution:
german
8
NIv2
task460_qasper_answer_generation
zs_opt
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You will be given a summary of a story. You need to create a question that can be answered from the story. You can create a question about characters, events, facts and beliefs, etc. Your question should be specific, try not to use pronouns instead of full names. As the stories are sometimes movie plots, they will contain actor names in parentheses. You should not use those names. Only use character names. Try to ask a question about all parts of the plot, not just the beginning. A 17-year-old Manhattan student, Lisa Cohen, shopping on the Upper West Side, interacts with bus driver Gerald Maretti as she runs alongside his moving bus; he allows himself to become distracted, leading to a fatal accident by missing a red light, in which a pedestrian, Monica Patterson, is hit by the bus and subsequently dies in Lisa's arms. Initially, Lisa reports to the police that the driver had a green traffic signal, but later, out of remorse, changes her story. She confronts Maretti, who first pretends to have forgotten the details of the accident, and then reveals to her in anger that he does remember them, but believes he did nothing wrong, causing Lisa to pursue his firing from the company with passion. In collaboration with Monica's best friend, Emily, and cousin, Abigail, Lisa ultimately becomes involved in a wrongful death lawsuit against the Metropolitan Transit Authority, seeking the dismissal of the driver (who is revealed to have caused two previous accidents), as well as monetary damages, which would be awarded to the victim's next of kin, her cousin. Meanwhile, Lisa's life takes various turns, including a flirtation with her math teacher, Aaron Caije, her decision to lose her virginity to a classmate, Paul Hirsch, and various vehement debates with classmates about politics and terrorism. Lisa and her actress mother have a rocky relationship, with sporadic fighting and Lisa expressing ambivalence toward her mother's boyfriend Ramon. An after-show dinner, attended by Lisa, her mother, Emily and Ramon, ends with Ramon making a remark perceived as anti-Semitic toward Emily. Ramon dies of a heart attack not long after. Lisa has sex with Caije, then later confronts Caije, telling him, in the presence of another teacher, that she has had an abortion. She expresses doubt about who the father was and mentions that there are two possibilities. The lawsuit reaches a conclusion, with an award of $350,000, but the MTA refuses to fire Maretti, out of concern that it would inflame a labor dispute. Abigail claims the settlement offer, revealing the monetary settlement to have been her primary motivation; this causes Lisa to become very upset and disillusioned with the outcome of the case. Lisa and her mother plan to attend an opera that Ramon and she were to see before his death. On the way, Lisa sees Maretti driving the same bus that had killed the pedestrian and there is a brief moment where the two see each other. During the opera performance, Lisa's accumulated emotion from the sequence of events bursts out and she and her mother affectionately reconnect, crying together and holding each other as the opera goes on.
What happens after Lisa has sex with Caije?
0
NIv2
task405_narrativeqa_question_generation
zs_opt
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"Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes, and". Indicate your answer by 'Response 1' if the first response is correct, otherwise 'Response 2'. Note that a "Yes, and" does not require someone explicitly saying 'yes, and...' as part of a dialogue exchange. [Q]: Prompt: I wouldn't mind using my position to, uh, make you have sex with me. Response 1: Oh, well, I actually came to complain about another student who did just that. Response 2: The humans will clean them up and not think twice about it. [A]: Response 1 [Q]: Prompt: I'm still in here. Trying to poop. Response 1: Okay, we're trying to leave. You're the one talking to us. Response 2: OK. I like that. I just said don't fall asleep. If we're already asleep when we're out there, that works. [A]: Response 1 [Q]: Prompt: Excuse me, is there something going on between you two? Response 1: How dare you. We are working here as coworkers. We are just on break. Response 2: That's correct. It's kind of considered a rude and insensitive name now, but it still works. [A]:
Response 1
5
NIv2
task362_spolin_yesand_prompt_response_sub_classification
fs_opt
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Teacher:You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese. Teacher: Now, understand the problem? Solve this instance: Y para acabar, solo tengo una pregunta y creo que es la única pregunta que importa. Student:
Estamos a acabar, tenho apenas uma pergunta para vocês. Penso que é única pergunta que realmente interessa.
6
NIv2
task1104_ted_translation_es_pt
zs_opt
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In this task, you will be presented with a context from an academic paper and a question separated with a . You have to answer the question based on the context. -------- Question: We collected tweets related to five different DDoS attacks on three different American banks. For each attack, all the tweets containing the bank's name posted from one week before the attack until the attack day were collected. There are in total 35214 tweets in the dataset. Only the tweets from the Bank of America attack on 09/19/2012 were used in this experiment. In this subsection we evaluate how good the model generalizes. To achieve that, the dataset is divided into two groups, one is about the attacks on Bank of America and the other group is about PNC and Wells Fargo. The only difference between this experiment and the experiment in section 4.4 is the dataset. In this experiment setting $D_a$ contains only the tweets collected on the days of attack on PNC and Wells Fargo. $D_b$ only contains the tweets collected before the Bank of America attack. Question: What is the training and test data used? Answer: Tweets related to a Bank of America DDos attack were used as training data. The test datasets contain tweets related to attacks to Bank of America, PNC and Wells Fargo. Question: Tests and Gold-Standard Data for Intrinsic Evaluation Using the gold standard data (described below), we performed three types of tests: Class Membership Tests: embeddings corresponding two member of the same semantic class (e.g. “Months of the Year", “Portuguese Cities", “Smileys") should be close, since they are supposed to be found in mostly the same contexts. Class Distinction Test: this is the reciprocal of the previous Class Membership test. Embeddings of elements of different classes should be different, since words of different classes ere expected to be found in significantly different contexts. Word Equivalence Test: embeddings corresponding to synonyms, antonyms, abbreviations (e.g. “porque" abbreviated by “pq") and partial references (e.g. “slb and benfica") should be almost equal, since both alternatives are supposed to be used be interchangeable in all contexts (either maintaining or inverting the meaning). Therefore, in our tests, two words are considered: distinct if the cosine of the corresponding embeddings is lower than 0.70 (or 0.80). to belong to the same class if the cosine of their embeddings is higher than 0.70 (or 0.80). equivalent if the cosine of the embeddings is higher that 0.85 (or 0.95). Question: What intrinsic evaluation metrics are used? Answer: Class Membership Tests Class Distinction Test Word Equivalence Test Question: Another widely used method for classifying misleading content is to use distant annotations, for example to classify a tweet based on the domain of a URL that is shared by the tweet, or a hashtag that is contained in the tweet BIBREF6, BIBREF7, BIBREF8. In order to scale annotations that go beyond metadata to larger datasets, Natural Language Processing (NLP) models can be used to automatically label text content. Question: What proxies for data annotation were used in previous datasets? Answer:
widely used method for classifying misleading content is to use distant annotations, for example to classify a tweet based on the domain of a URL that is shared by the tweet, or a hashtag that is contained in the tweet Natural Language Processing (NLP) models can be used to automatically label text content
7
NIv2
task460_qasper_answer_generation
fs_opt
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Teacher:In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independence of Catalonia then it's 'Against' and if the tweets support it then it will be labeled as 'Favor' also if the tweets state information or news rather than stating opinion then it will be characterized as 'Neutral'. Teacher: Now, understand the problem? Solve this instance: Tweet: Raül Romeva ha explicat que “manifestar-se no pot considerar-se mai un alçament”. També ha afegit que el que va veure el 20-S “va ser l'exercici pacífic del dret a la manifestació” https://t.co/DTiYZpM3XU #JudiciTV3CatRàdio #Play324 https://t.co/LTtiCslAnc Student:
Neutral
6
NIv2
task1646_dataset_card_for_catalonia_independence_corpus_text_classification
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. -------- Question: Oliver entered the dining_room. Ethan entered the dining_room. The pear is in the blue_box. Oliver moved the pear to the green_cupboard. Jacob entered the living_room. William entered the living_room. The pineapple is in the red_envelope. Jacob moved the pineapple to the green_box. Ethan entered the office. Jacob entered the office. The green_pepper is in the green_treasure_chest. Ethan moved the green_pepper to the green_suitcase. Ethan entered the patio. Jacob entered the patio. The grapefruit is in the red_bottle. Ethan moved the grapefruit to the green_bucket. Where will Jacob look for the grapefruit? Answer: green_bucket Question: Isabella entered the den. Mason entered the den. The pear is in the blue_container. Mason exited the den. Isabella moved the pear to the red_crate. Isabella is in the den. Abigail entered the den. The pear is in the red_crate. Abigail exited the den. Isabella moved the pear to the blue_container. Ella entered the pantry. Abigail entered the pantry. The turnip is in the red_envelope. Abigail exited the pantry. Ella moved the turnip to the red_cupboard. Isabella entered the study. Abigail entered the study. The asparagus is in the red_pantry. Abigail exited the study. Isabella moved the asparagus to the green_crate. Where will Abigail look for the asparagus? Answer: red_pantry Question: Jacob entered the den. Jayden entered the den. The lime is in the green_treasure_chest. Jayden exited the den. Jacob moved the lime to the green_basket. Elizabeth entered the TV_room. Jayden entered the TV_room. The grapefruit is in the green_suitcase. Jayden exited the TV_room. Elizabeth moved the grapefruit to the red_bottle. Elizabeth is in the TV_room. Jayden entered the TV_room. The grapefruit is in the red_bottle. Jayden exited the TV_room. Elizabeth moved the grapefruit to the green_suitcase. Jacob entered the garage. Jayden entered the garage. The beans is in the red_drawer. Jayden exited the garage. Jacob moved the beans to the blue_box. Where does Jacob think that Jayden searches for the beans? Answer:
red_drawer
7
NIv2
task153_tomqa_find_location_hard_clean
fs_opt
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In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In the translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun). Input: Consider Input: धागे के संबंध में उठाया गया यह कदम ठीक था क़्योंकि अच्छे किस्म का धागा , जो हथकरघे में प्रयुक़्त होता था और जिसका निर्माण यहां पर नहीं होता था , अब आराम से आयात किया जा सकता Output: While the latter was a proper move inasmuch as the higher count yarn , which was used by handlooms and which was not locally manufactured , could now be freely imported , the so-called ' countervailing excise duty ' remained in force . Input: Consider Input: नियम 377 के उपबंध का प्रयोग प्रथम बार 14 मई , 1966 को किया गया जब पुलिस द्वारा एक संसद सदस्य के साथ किए गए दुर्व्यवहार संबंधी मामला उठाया गया । Output: Recourse to Rule 377 , for the first time was taken on 14 May 1966 , the matter raised related to ill-treatment meted out to an M.P . by the police . Input: Consider Input: क4 अनु253- अंतराष्ट्रीय समझौते के अनुपालन के लिए संसद राज्य सूची विषय पर विधि निर्माण कर सकती है
Output: Q4 act 253 - Parliament has power to makeany law for the whole or any part of the territory of Indiafor implementing any treaty, agreement or conventionwith any other country or countries or any decision madeat any international conference, association or other body.
2
NIv2
task424_hindienglish_corpora_hi_en_translation
fs_opt
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You are given a review about a place. You need to provide a rating from "1 star" to "5 stars" for this place. One example is below. Q: Although I did enjoy the food here, I was completely unimpressed (and slightly annoyed) by the overpriced margaritas. I ordered a platinum which contained \"fresh\" juice. It tasted like it had sprite in it, so I thought surely she gave me the wrong one. It turns out that \"fresh juice\" is really margarita mix on tap from the same gun as the sprite. I asked for something fresh to replace the horrible margarita and received a rocks glass with just muddled lime and a salted rim. I'm not sure it contained any tequila. Horrible! It's not that hard to make a fresh margarita! A: 2 stars Rationale: The writer has been annoyed in this place and has enjoyed the food. So, "2 stars" sounds reasonable for it. Q: Every Friday night this is what we get at home!!\nHUGE California burrito for me and I LOVE IT!! Homemade tortillas, lots of food for an excellent price. I need my Senor Taco fix every week! YUM!! Great prices, lots of food... Mmmmm... I'm craving it now! A:
4 stars
9
NIv2
task1292_yelp_review_full_text_categorization
fs_opt
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Detailed Instructions: In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. Once you create a question you also need to provide the correct answer for it. Write your answer like "Question: your question, Answer: your answer". The questions should be well-formed and grammatically correct. The questions should be completely answerable from the given passage and should not require any external knowledge. Subjective questions are not allowed. Short answers containing words that are present in the passage are preferred. Create questions that result in factoid answers. A simple rule of thumb to decide whether a question is a factoid or not is to see if two different people with average reading/comprehension skills would come up with the same answer after reading the passage. Problem:In 1952, a semester before Ernesto "Fuser" Guevara is due to complete his medical degree, he and his older friend Alberto, a biochemist, leave Buenos Aires in order to travel across the South American continent in search of fun and adventures. While there is a goal at the end of their journey - they intend to work in a leper colony in Peru - the main purpose is tourism. They want to see as much of Latin America as they can, more than 8,000 kilometers (5000 miles) in just a few months, and also bed as many Latin American women as will fall for their pick-up lines. Their initial method of transport is Alberto's ancient and leaky but functional Norton 500 motorcycle christened La Poderosa ("The Mighty One").Their route is ambitious. They head south, aim to cross the Andes, travel along the coast of Chile, across the Atacama Desert and into the Peruvian Amazon and reach Venezuela just in time for Alberto's 30th birthday, April 2. Due to La Poderosa's breakdown, they are forced to travel at a much slower pace, and make it to Caracas in July.During their expedition, Guevara and Granado encounter the poverty of the indigenous peasants, and the movie assumes a greater seriousness once the men gain a better sense of the disparity between the "haves" and "have-nots" of Latin America. In Chile, the pleasure travelers encounter a couple forced onto the road because of their communist beliefs. In a fire-lit scene, Ernesto and Alberto admit to the couple that they are not out looking for work as well. The duo accompany the couple to the Chuquicamata copper mine, and Guevara becomes angry at the treatment of the workers. There is also an instance of recognition when Ernesto, on a river ship, looks down at the poor people on the smaller boat hitched behind. Ernesto's connection to people in need is visceral and tactile throughout the film. It shows in the way he smoothes the forehead of a terminally ill woman who cannot afford a proper doctor.However, it is a visit to the Incan ruins of Macchu Picchu that inspires something in Ernesto. He wonders how the highly advanced culture gave way to the urban sprawl of Lima. His reflection is interrupted by Alberto, who shares with him a dream to peacefully revolutionize modern South America. Ernesto quickly responds: "A revolution without guns? It will never work."In Peru, they volunteer for three weeks at the San Pablo leper colony. There, Guevara sees both physically and metaphorically the division of society between the toiling masses and the ruling class (the staff live on the north side of a river, separated from the lepers living on the south). Guevara also refuses to wear rubber gloves during his visit choosing instead to shake bare hands with startled leper inmates.At the end of the film, after his sojourn at the leper colony, Guevara confirms his nascent egalitarian, anti-authority impulses, while making a birthday toast, which is also his first political speech. In it he evokes a pan-Latin American identity that transcends the arbitrary boundaries of nation and race. These encounters with social injustice transform the way Guevara sees the world, and by implication motivates his later political activities as a revolutionary.Guevara makes his symbolic "final journey" that night when despite his asthma, he chooses to swim across the river that separates the two societies of the leper colony, to spend the night in a leper shack, instead of in the cabins of the doctors. This journey implicitly symbolizes Guevara's rejection of wealth and aristocracy into which he was born, and the path he would take later in his life as a guerrilla, fighting for what he believed was the dignity every human being deserves."Wandering around our America has changed me more than I thought. I am not me any more. At least I'm not the same me I was."~ Guevara at film's endAs they bid each other farewell, Alberto reveals that his birthday was not in fact April 2, but rather August 8, and that the stated goal was simply a motivator: Ernesto replies that he knew all along. The film is closed with an appearance by the true life 82-year-old Alberto Granado, along with pictures from the actual journey and a mention of Che Guevara's eventual 1967 CIA-assisted execution in the Bolivian jungle.source:Wikipedia Solution:
Question: What is Ernesto Guevara nickname in 1952?, Answer: Fuser
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task182_duorc_question_generation
zs_opt
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Teacher:You are given a statement written in Hindi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option . Teacher: Now, understand the problem? Solve this instance: Statement: * मध्य <MASK> के निज्नी नोवगोरोद, वोरोनेज, मास्को और र्याजन के इलाकों में लगी आग के कारण 29 लोगों की मृत्यु के बाद राष्ट्रपति दमित्री मेदवेदेय ने दस हजार शमनकर्मीयों सहित सेना बुलाई। Option A: प्रधानमंत्री Option B: आईएसआई Option C: भारत Option D: रूस Student:
रूस
6
NIv2
task947_wiki_cloze_hi_multiple_choice_question_answering
zs_opt
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Q: You are given a sentence in Polish. Your job is to translate the Polish sentence into Spanish. Czego możemy się dzięki nim nauczyć? A:
Y entonces, ¿qué se puede aprender de estos dispositivos?
7
NIv2
task1258_ted_translation_pl_es
zs_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 numerical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no numerical element is in the list. Teacher: Now, understand the problem? Solve this instance: ['713', 't', '2115', 'K', 'N', '7111', 'j'] Student:
1, 3, 6
6
NIv2
task507_position_of_all_numerical_elements_in_list
zs_opt
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Given the task definition, example input & output, solve the new input case. Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive. Example: I've read this book with much expectation, it was very boring all through out the book Output: Negative Review writer does not like the book because it was boring, therefore it is a negative review. New input case for you: Fun book. Young boy, 10, is given a toy castle by his nanny who is leaving to go back to England. The boy, William, is very upset that Mrs. Phillips is leaving. When he discovers that the castle, or more accurately, the Silver Knight that comes with it, is enchanted, he devises a plan to keep her with him. And thus begins a very satisfying tale of fantasy and heroism.I listened to the audio version of this book - read by the author along with an entire cast. I can't say it was the best audio book I've ever listened to. As often is the case, the reading by the author, while interesting, wasn't great. And it wasn't just the author. I often kept thinking to myself that I wish I had opted to read this one instead of listening to it. Output:
Positive
1
NIv2
task493_review_polarity_classification
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 Gujarati language and a corresponding English translation of the Gujarati sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No". Gujarati: એક ઇંટ સાઇડવૉક બાજુમાં પાર્ક કરેલી સાયકલની રેખા English: A water hydrant on the sidewalk with plants nearby
No
5
NIv2
task440_eng_guj_parallel_corpus_gu-en_classification
zs_opt
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Write a correct answer for the question. You should reason about prototypical situations and provide the correct answer. Avoid answers that provide incomplete justification for the question. One example is below. Q: at the beach, name something that might protect you from sun. A: umbrella Rationale: Umbrella can serve as a shield to block the sun Q: name a london tourist attraction. A:
big ben
9
NIv2
task820_protoqa_answer_generation
fs_opt
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In this task, you will be given two sentences separated by "because". You should decide whether the first sentence can be the result of the second sentence. If you can see a possible cause and effect relationship, answer with "plausible", otherwise answer with "not plausible". Q: the man had lipstick on his cheek because he did not want to look like a fool A: not plausible **** Q: the benefactor requested to stay anonymous because she didn't have the money A: not plausible **** Q: my stomach hurt because i was in so much pain A:
plausible ****
4
NIv2
task392_inverse_causal_relationship
fs_opt
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In this task you will be given an answer to a question. You need to generate a question. The answer given should be a correct answer for the generated question. Example Input: Differing in situ values have been reported for the average temperature on Mars, with a common value being − 55 ° C (218 K; − 67 ° F). Surface temperatures may reach a high of about 20 ° C (293 K; 68 ° F) at noon, at the equator, and a low of about − 153 ° C (120 K; − 243 ° F) at the poles. Actual temperature measurements at the Viking landers' site range from − 17.2 ° C (256.0 K; 1.0 ° F) to − 107 ° C (166 K; − 161 ° F). The warmest soil temperature estimated by the Viking Orbiter was 27 ° C (300 K; 81 ° F). The Spirit rover recorded a maximum daytime air temperature in the shade of 35 ° C (308 K; 95 ° F), and regularly recorded temperatures well above 0 ° C (273 K; 32 ° F), except in winter. Example Output: what is the temperature range of mars in fahrenheit Example Input: Canada is divided into ten provinces and three territories. The majority of Canada's population is concentrated in the areas close to the Canada -- US border. Its four largest provinces by area (Quebec, Ontario, British Columbia and Alberta) are also (with Quebec and Ontario switched in order) its most populous; together they account for 86% of the country's population. The territories (the Northwest Territories, Nunavut and Yukon) account for over a third of Canada's area but are home to only 0.3% of its population, which skews the national population density value. Example Output: where is the majority of canada's population located Example Input: Madhya Pradesh (MP) (/ ˈmɑːdjə prəˈdɛʃ /, (help info), meaning Central Province) is a state in central India. Its capital is Bhopal and the largest city is Indore with Gwalior and Jabalpur being the other major cities. Nicknamed the 'heart of India' due to its geographical location in India, Madhya Pradesh is the second-largest state in the country by area. With over 75 million inhabitants, it is the fifth-largest state in India by population. It borders the states of Uttar Pradesh to the northeast, Chhattisgarh to the southeast, Maharashtra to the south, Gujarat to the west, and Rajasthan to the northwest. Its total area is 308,252 km. Before 2000, when Chhattisgarh was a part of Madhya Pradesh, Madhya Pradesh was the largest state in India and the distance between the two furthest points inside the state, Singoli and Konta, was 1500 km. Example Output:
how many states touches the boundary of madhya pradesh
3
NIv2
task519_aquamuse_question_generation
fs_opt
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Detailed Instructions: In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are 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. Q: Sentence: The Al - Bu Nimr in Ramadi and Al {{ - }} Qaim rose in arms against Saddam in the mid-nineties following the execution of Thamir Madhlum Al - Dulaymi , an Air Force general belonging to their tribe . Word: - A:
HYPH
9
NIv2
task584_udeps_eng_fine_pos_tagging
zs_opt
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Q: Given a sentence in the Japanese and Thai language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No". Japanese: 金曜日、28歳のパキスタン人ジャーナリストの遺体が、パキスタンのラホールにある彼の自宅で見つかった。 Thai: แรงงานในเท็กซัสซึ่งถูกสรุปในปี 2005 กล่าวว่า "พบการละเมิดค่าจ้างแรงงานขั้นต่ำ" A:
No
7
NIv2
task1129_alt_ja_th_answer_generation
zs_opt
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In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage. Q: passage: Regan, who was not allowed in the house basement previously, sees her father's notes on the creatures and on his experimentation with several different implants. When the creature returns to invade the basement, Regan places the boosted implant on a nearby microphone, magnifying the feedback to ward off the creature. Painfully disoriented, the creature exposes the flesh beneath its armored head, and Evelyn shoots the creature in the head with a shotgun, destroying its head and killing it. The family views a CCTV monitor, showing two creatures attracted by the noise of the shotgun blast approaching the house. With their newly acquired knowledge of the creatures' weakness, the members of the family arm themselves and prepare to fight back. question: does the family die in a quiet place? A:
No
4
NIv2
task380_boolq_yes_no_question
zs_opt
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Detailed Instructions: Given a category and a set of five words, find the word from the set that does not belong (i.e. is the least relevant) with the other words in the category. Words are separated by commas. Problem:Category: military rank Words: commander, colonel, major, general, plain Solution:
plain
8
NIv2
task141_odd-man-out_classification_category
zs_opt
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Given the task definition, example input & output, solve the new input case. 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. Example: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in business with such poor quality. I have used infrared lights for my ball python for many years now and I get a varied range of months from a bulb, but I have never gone through two bulbs in a matter of two months! I am very disappointed. Output: negative The user seems very disappointed in the product. Because the bulb they ordered has been burned out earlier than usual. So, it's a negative review. New input case for you: I ordered these travel plugs for my trip to Italy. Luckily I took both the 2 and 3 prong plugs. One plug lasted for only one charge and then died. Good for me the other plug worked the rest of the trip. I would not recommend this product. Output:
negative
1
NIv2
task1312_amazonreview_polarity_classification
fs_opt
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Given a sentence and an entity, the task is to select the authors sentiment towards the enity. Sentiments can be Positive, Neutral and Negative. Select Positive if the sentence expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the sentence expresses no clear view towards the entity or has equal amounts of positive and negative statements or expressing some fact/quote by someone else. Select Negative if the sentence expresses a negative view towards like harsh remarks, criticizing entities action/decision etc. Note that URLs in the text have been replaced with [Link]. Ex Input: What is the sentiment of the following document towards the entity Jeremy Meeks Jeremy ? The "Topshop" heiress who found love with "Hot Convict" Jeremy Meeks says tying the knot is the next step. Ex Output: Positive Ex Input: What is the sentiment of the following document towards the entity Donald J. Trump ? “I did about 200 cataract surgeries with a group of surgeons in Haiti and the same in Central America ” Senator Paul an ophthalmologist said on NBC’s Meet the Press yesterday. “And when we asked Donald J. Trump as a private citizen to support those trips he was a large financial backer of both medical mission trips.” Paul continued: “I think it’s unfair then to sort of all of a sudden paint him ‘Oh well he ’s a racist ’ when I know for a fact that he cares very deeply about the people in Haiti because he helped finance a trip where we were able to get vision back for 200 people in Haiti.” Ex Output: Positive Ex Input: What is the sentiment of the following document towards the entity Elaine Duke ? ISIS is on the run in Iraq and Syria but acting Secretary of Homeland Security Elaine Duke said radical Islamic terrorists are plotting a new 9/11-scale attack. Ex Output:
Neutral
1
NIv2
task421_persent_sentence_sentiment_classification
fs_opt
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Given the task definition and input, reply with output. Given a sentence, generate what should be the most likely next statement. The next statement should be reasonable and logically correct. They are performing using batons. They
are dancing and twirling, sometimes flipping.
5
NIv2
task453_swag_answer_generation
zs_opt
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Detailed Instructions: 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. Problem:Fact: Coccolithophorids have varied life cycles. Question: What do Coccolithophorids have? Solution:
varied life cycles.
8
NIv2
task041_qasc_answer_generation
zs_opt
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Part 1. Definition In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to determine if the two sentences clearly agree/disagree with each other, or if this can't be determined. Indicate your answer as yes or no respectively. Part 2. Example Sentence 1: Next to the MGM Grand you will find M and M World. Sentence 2: The candy has many fans who love its attractions. Answer: no Explanation: It is not clear that M and M world is popular. Part 3. Exercise Sentence 1: Staying forever is most likely to croseyour mind. Sentence 2: You will never want to come back again. Answer:
yes
7
NIv2
task199_mnli_classification
fs_opt
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In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen after that sentence. Is any of them directly caused by it, or is made possible by it? You should write your answer in the form " A >causes/enables> B". Try to use phrases and sentences from the story to compose your answer when possible. Do not change the main selected sentence in your answer. Input: Consider Input: story: Three days ago I brought a banana to school for lunch. I forgot the banana in my locker. Today I went to get the banana and it had turned black. I threw the banana away. I decided not to leave food in my locker ever again. selected sentence: Three days ago I brought a banana to school for lunch. Output: I bring a banana to school >Causes/Enables> I forget the banana in my locker Input: Consider Input: story: Anna went to church and enjoyed the sermon. But then they began to pass the collection plate. Anna realized she had forgotten her money! She had to let the plate skip over her. Anna's cheeks burned with embarrassment. selected sentence: Anna went to church and enjoyed the sermon. Output: Anna goes to church >Causes/Enables> Anna leaves Input: Consider Input: story: Cindy use to work for a call center. She was a very hard worker. One day she got a call from a grumpy old man. The man chewed her out for no reason. Cindy ended up quitting her job. selected sentence: The man chewed her out for no reason.
Output: Cindy got a call from a grumpy old man >Causes/Enables> The man chewed her out for no reason
2
NIv2
task748_glucose_reverse_cause_event_detection
fs_opt
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Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into English. See one example below: Problem: To największa nagrywarka, jaką w życiu widzieliście. Solution: It's sort of the biggest TiVo box you've ever seen. Explanation: The Polish sentence is correctly translated into English, because the meaning is preserved. Problem: Dostaję gęsiej skórki nawet kiedy o tym mówię. Solution:
So it was — I mean, I'm getting goose bumps just talking about it.
4
NIv2
task1256_ted_translation_pl_en
fs_opt
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Q: Given a paragraph, generate a claim that is supported by the given paragraph. 1) The claim must contain information from within the paragraph. 2) A sentence within the paragraph can be used as a claim. 3) The claim should not have contradictions within the paragraph. 4) The claim should be at most one sentence long. The populist rhetoric appears to be giving way to a more nuanced strategy focused on making the pharmaceutical market more open and competitive, with the aim of lowering costs for consumers. It’s an approach that could avoid a direct confrontation with the powerful pharmaceutical lobby, but it could also underwhelm Americans seeking relief from escalating prescription costs. On Friday, Trump is scheduled to give his first speech on an overarching plan to lower drug prices. Administration officials previewing the speech Thursday touted it as the most comprehensive plan to tackle prescription drug costs that any president has ever proposed, but offered few specifics. Officials said the plan would increase competition, create incentives for drugmakers to lower initial prices and slash federal rules that make it harder for private insurers to negotiate lower prices. The result would be lower pharmacy costs for patients — a key Trump campaign promise. The plan will not include giving the federal Medicare program power to directly negotiate prices with drugmakers, they noted. Trump campaigned on the idea, which is vigorously opposed by the pharmaceutical industry. Public outrage over drug costs has been growing for years, because Americans are being squeezed in a number of ways: New medicines for cancer and other life-threatening diseases often launch with prices exceeding $100,000 per year. Drugs for common ailments like diabetes and asthma routinely see price hikes around 10 percent annually. Meanwhile some companies have been buying up once-cheap older drugs and hiking prices by 1,000 percent or more. Since entering the White House, Trump has backed away from reforms directly targeting drugmakers and staffed his administration with appointees who have deep ties to the industry, including his health secretary, Alex Azar, a former top executive at Eli Lilly. Still, administration officials ratcheted up the rhetoric ahead of Trump’s speech. Azar promised bold action. FDA Commissioner Scott Gottlieb — another Trump appointee with industry connections — hinted at a plan to “dismantle” the convoluted system of discounts and rebates between drugmakers and health care middlemen. On Thursday, administration officials also vowed to address foreign governments that rely on U.S. medicines but pay drastically lower prices due to government controls. The U.S. accounts for 70 percent of the world’s brand-name drug profits, according to a White House report released earlier this year. Here are some of the drivers of U.S. prescription drug prices, proposals for reducing the costs and what’s at stake: LACK OF REGULATION Drugmakers generally can charge as much as the market will bear because the U.S. government doesn’t regulate medicine prices, unlike most other countries. Medicare is the largest purchaser of prescription drugs in the nation, covering 60 million seniors and Americans with disabilities, but it is barred by law from directly negotiating lower prices with drugmakers. Democrats have long favored giving Medicare that power, but Republicans traditionally oppose the idea. The powerful pharmaceutical lobby has repeatedly fended off proposals that could lower prices, such as Medicare negotiations or importing drugs from countries that regulate pricing. With no direct government price regulation, the primary check on prices comes from buyers in bulk — such as insurance companies and pharmacy benefit managers, which handle prescription coverage for insurers, employers and other big clients. But because there are so many players in the fragmented system, the discounts achieved in the U.S. are generally far more modest than those in other countries. The result is that the U.S. spends more on medicines than any other nation. In 2015, the U.S. spent $1,162 per person on pharmaceuticals, according to the Organization for Economic Cooperation and Development. That compares with $756 for Canada and $497 for the United Kingdom, both of which have government measures to control drug prices. LACK OF TRANSPARENCY The U.S. system for pricing drugs is notoriously complex, so much that the “real” price for most medicines isn’t clear. Critics contend that this lack of transparency limits competition and drives prices higher. Pharmaceutical companies often launch their drugs with high initial prices. But they argue list prices are merely a starting point for negotiations because they give substantial rebates and discounts to pharmacy benefit managers. Those price concessions are almost never disclosed and it’s unclear what portion actually flows back to consumers. FDA Commissioner Scott Gottlieb and others say the lack of transparency in the current system creates perverse incentives in which drugmakers and other health care companies benefit from rising prices — at the expense of patients. Trump officials have suggested requiring Medicare pharmacy benefit managers to share rebate payments with patients. Another proposal would do away with rebates altogether to encourage more upfront discounts in Medicare. But the benefit managers and insurers say that they use rebates to lower health care premiums overall and that doing away with them would drive up costs. PATENTS AND ANTI-COMPETITIVE TACTICS Patents last longer in the U.S. than most countries, typically giving companies a dozen years of competition-free marketing after a drug launches. Most drugmakers increase their prices annually during this monopoly period, and until recently double-digit price hikes were the norm. Drugmakers also have developed a number of techniques to block competitors from launching lower-cost generic drugs. Companies often tweak drug formulations to extend their patents. In other cases, companies directly pay would-be competitors to stay off the market in so-called “pay-to-delay” deals. Gottlieb has promised a crackdown on some of these techniques used to “game the system.” He’s highlighted a practice in which drugmakers use tightly controlled distribution systems to prevent rival manufacturers from purchasing their drug. This effectively blocks the development of generic versions because generic drugmakers must test their products against the original medicine before they can win FDA approval. PUBLIC PERCEPTION A majority of Americans say bringing down prescription drug prices should be a “top priority” for Trump and Congress, according to recent polling by the Kaiser Family Foundation. And experts who study drug pricing say it’s encouraging that the discussion around the issue has moved from outrage to sophisticated reforms. But some warn there is no guarantee that unraveling the current pricing-setting bureaucracy will lead to lower prices, because it all starts with drugmakers’ prices. “Until we get closer to policy solutions that address the ability of drug manufacturers to set whatever price they want and increase prices year after year we may only be scratching the surface of this problem,” said Juliette Cubanski, a health care expert with the nonpartisan Kaiser Family Foundation. Dan Mendelson, a health care consultant, said: “If they don’t address the cost that patients see at the pharmacy counter it’s not going to be seen as responsive.” ___ AP Health Writer Tom Murphy contributed to this report. ___ The Associated Press Health & Science Department receives support from the Howard Hughes Medical Institute’s Department of Science Education. The AP is solely responsible for all content. A:
In taking on high drug prices, Trump faces a complex nemesis.
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NIv2
task1368_healthfact_sentence_generation
zs_opt
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Definition: In this task, you are given a sentence in the Swedish language and a corresponding English translation of the Swedish sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No". Input: Swedish: Således föreslår jag att köldgränsen skall sänkas till minus fyrtio grader. English: I have thus proposed that the frost rating be lowered to -40ºC. Output:
Yes
2
NIv2
task314_europarl_sv-en_classification
zs_opt
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Detailed Instructions: In this task, you are given a sentence. You are expected to recognize the name of gene or protein. Although there might be several correct answers, you need to write one of them. See one example below: Problem: Sox - 4 is important for very early B - cell differentiation , while TCF - 1 / LEF - 1 play a crucial role in early thymocyte development Solution: TCF - 1 Explanation: The gene, TCF - 1 has been tagged as protein since it plays a crucial role in early thymocyte development. Problem: The absence of live B . mallei organisms in the HK preparations was confirmed after plating 10 % of the total inoculums ( v / v ) and incubating these at 37 degrees C for 48 h . Solution:
B . mallei
4
NIv2
task1484_gene_extraction_linnaeus_dataset
fs_opt
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You are given a statement written in Assamese. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option . -------- Question: Statement: বৰ্তমান কেৱল <MASK> আৰু ম্যানমাৰতে এই প্ৰজাতিটোৰ কিছু বাছি আছে কিন্তু তাতো ইয়াৰ সংখ্যা যথেষ্ট কম৷ বৰ্তমান শগুণৰ ক্ষতিসাধন কৰা ডাইক্লফেনেক নামৰ এই ড্ৰাগটোৰ সলনি সুৰক্ষিতভাৱে ব্যৱহাৰ কৰিব পৰা মেল'ক্সিকেম (Meloxicam) নামৰ ড্ৰাগটো প্ৰস্তাৱ দিয়া হৈছে৷ Option A: কম্বোডিয়া Option B: পাকিস্তান Option C: ম্যানমাৰ Option D: নেপাল Answer: কম্বোডিয়া Question: Statement: ২০০৫ চনত বালানে প্ৰদীপ সৰকাৰৰ সংগীতমূলক ছবি “পৰিণীতা”ৰ জৰিয়তে হিন্দী ছবি জগতত আত্মপ্ৰকাশ কৰে। চুক্তিবদ্ধ হোৱাৰ আগতে বালানে ছমাহজোৰা এক দীঘলীয়া অডিশ্যনৰ সন্মুখীন হ’ব লগা হয়। শৰৎচন্দ্ৰ চট্টোপাধ্যায়ৰ একে নামৰ উপন্যাসৰ এই চিত্ৰৰূপত আদৰ্শবাদী ললিতা (বালান) আৰু ধনতান্ত্ৰিক ব্যৱসায়ী এজনৰ অহংকাৰী পুত্ৰ শেখৰ (ছেইফ আলী খান)ৰ প্ৰেম কাহিনী বৰ্ণিত হৈছে। ছবিখনত তেওঁৰ অভিনয় সমালোচক সকলৰ দ্বাৰা প্ৰশংসিত হয়; “ভেৰাইটী”ৰ ডেৰেক এলীয়ে লিখিছে," বালান অভিনয় জগতত এক নতুন আৱিষ্কাৰ,যাৰ উত্সৰ্গিত কিন্তু সন্মানিতা ললিতাৰ ৰূপায়ণেই ছবিখনৰ প্ৰাণ”। পৰিণীতা বাবে বালানে শ্ৰেষ্ঠ নৱাগতাৰ <MASK> বঁটা লাভ কৰে আৰু শ্ৰেষ্ঠ অভিনেত্ৰীৰ ফিল্মফেয়াৰ বঁটাৰ মনোনয়ন লাভ কৰে। Option A: কলিকতা Option B: কেৰালা Option C: ফিল্মফেয়াৰ Option D: আৰ্জেণ্টিনা Answer: ফিল্মফেয়াৰ Question: Statement: অসমৰ আন আন ঠাইৰ দৰেই বঙাইগাঁও চহৰৰ যাতায়ত ব্যৱস্থা অতি সুচল। বঙাইগাঁও চহৰখন ভাৰতীয় ৰেল, স্থল সেৱাৰ দ্বাৰা অসমৰ আন আন চহৰ যেনে <MASK>, যোৰহাট, ডিব্ৰুগড়, মঙলদৈ, তেজপুৰ আদিৰ লগতে ভাৰতৰ আন আন ঠাইৰ লগত সংযোগ হৈ আছে। Option A: ডিব্ৰুগড় Option B: তেজপুৰ Option C: যোৰহাট Option D: গুৱাহাটী Answer:
গুৱাহাটী
7
NIv2
task944_wiki_cloze_as_multiple_choice_question_answering
fs_opt
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Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish. Problem:אמרנו להם, קחו רעיון אחד, כל דבר שמטריד אתכם, ביחרו שבוע אחד, ושנו את חייהם של מיליארד אנשים. Solution:
Les planteamos que pensaran en algo, algo que les preocupara, que eligieran una semana, y que transformaran un billón de vidas.
8
NIv2
task1236_ted_translation_he_es
zs_opt
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You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian. One example is below. Q: Ao longo do livro, George chama a atenção de que a sua tecnologia, a tecnologia da biologia sintética, está atualmente a acelerar a uma taxa 4 vezes superior à Lei de Moore. A: Ora, lungo il percorso, George segnala che la sua tecnologia, la tecnologia della biologia sintetica, sta accelerando molto più velocemente del tasso previsto dalla Legge di Moore. Rationale: The Portugese sentence is correctly translated into Italian, because the meaning is preserved. Q: É aqui que precisamos de nos fazer ouvir. A:
Qui è dove dobbiamo far sentire la nostra voce.
9
NIv2
task1280_ted_translation_pt_it
fs_opt
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Given the task definition and input, reply with output. In this task, you are to Translate German text to English Damit wird den Aquarianern ein Geraet angeboten, das zu einer wesentlichen Erleichterung bei der Reinigung der Aquarien fuehrt und der Arbeitszeitaufwand erheblich gesenkt wird.
This will provide the aquarist with a device that significantly simplifies the cleaning of the aquarium and significantly reduces the time and effort required.
5
NIv2
task841_para_pdt_de_en_translation
zs_opt
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Detailed Instructions: The task is to generate the correct answer for a given math problem. See one example below: Problem: a multiple choice test consists of 4 questions, and each question has 5 answer choices. in how many r ways can the test be completed if every question is unanswered ? Solution: 625 Explanation: Total r of 5 * 5 * 5 * 5 = 5 ^ 4 = 625 ways to answer all of them. Therefore, the answer is 625. Problem: Problem: two brother x and y appeared for an exam . the probability of selection of x is 1 / 3 and that of b is 2 / 7 . find the probability that both of them are selected . Solution:
2 / 21
4
NIv2
task1726_mathqa_correct_answer_generation
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 will break down a question into the basic steps required to answer it. A question decomposition is a numbered list of operations that must be performed to answer the original question. Imagine explaining your question to a friendly droid by listing each action it should take in order for the question to be answered. Each step in our decomposition should refer to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Here are the list of step templates and their description: 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]. question: If the right image contains 1 tv Output:
#1 return right image #2 return tvs of #1 #3 return the number of #2 #4 return if #3 is equal to one
1
NIv2
task176_break_decompose_questions
zs_opt
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Given a sentence in the Japanese and Filipino language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No". Example: Japanese: 詳細は昨日UTC17時30分、英国議会でイギリスのルス・ケリー運輸大臣によって伝えられた。 Filipino: Ang mga detalye ay ibinigay ng UK transport Secretary, na si Ruth Kelly, sa House of Commons sa ika-17:30 UTC kahapon. Example solution: Yes Example explanation: The converted Filipino sentence is correctly translated from Japanese because converted sentence has the same message as the original Japanese sentence that Details were given yesterday in the House of Commons at 1730 UTC by Britain's Transport Secretary Ruth Kelly. Problem: Japanese: BBCの調査で、慈善スーパーグループBandAや、ボブ・ゲルドフによって開かれたライブ・エイドから集められたお金を含む何百万ドルもの飢饉救済援助金が、エチオピアの反乱軍によって武器を購入するために「吸い上げられている」ことが分かった。 Filipino: Ang isang pagsisiyasat ng BBC ay nabunyag na milyun-milyong dolyar na tulong para sa kaluwagan sa taggutom, kabilang ang nalikom na pera mula sa kawanggawa ng magagarang grupo ng Band Aid at ang Live Aid na konsiyerto hawak ni Bob Geldof ay "inalis" ng mga rebeldeng taga-Ethiopia para makabili ng mga armas.
Solution: Yes
5
NIv2
task1120_alt_ja_fil_answer_generation
fs_opt
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Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question. the avengers
Who played 'Emma Peel' in the 1998 film 'The Avengers'?
0
NIv2
task897_freebase_qa_topic_question_generation
zs_opt
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You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long. The answers need to be context specific and can not be general knowledge or a random guess. CONTEXT: Las elecciones generales de Brasil de 2006 se celebraron el domingo 1 de octubre de dicho año, para elegir al presidente de la república y a un nuevo parlamento, así como a los gobernadores de los estados brasileños y a sus respectivas asambleas legislativas, unos 1059 diputados estatales. En total se presentaron 19.619 candidatos, ocho a la presidencia, 213 a gobernador, 236 a senador, 5.525 a diputado federal, 12.945 a diputado estatal y 692 a diputado distrital de un total de 29 partidos políticos.​​ QUESTION: ¿A quién se iba a seleccionar en las elecciones generales de Brasil de 2006?
al presidente de la república y a un nuevo parlamento, así como a los gobernadores de los estados brasileños y a sus respectivas asambleas legislativas
0
NIv2
task1334_sqac_answer_generation
zs_opt
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Given the task definition, example input & output, solve the new input case. 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. Example: Sentence: David A. DiLoreto , president of metal container division , was named *-1 to the additional post of group vice president , packaging products , at this packaging {{ , }} industrial and aerospace products concern , *-1 succeeding Delmont A. Davis , who *T*-3 was named *-2 president and chief operating officer in August . Word: , Output: . ',' is assigned the period (.) symbol since it denotes a punctuation. New input case for you: Sentence: Despite the harsh exchanges , the U.S. and China still seem *-1 to be looking for a way 0 * to mend relations , which *T*-244 have deteriorated into what Mr. Nixon referred to *T*-2 as `` the greatest crisis in Chinese-American relations '' since his initial visit {{ to }} China 17 years ago *T*-3 . Word: to Output:
PRT
1
NIv2
task1167_penn_treebank_coarse_pos_tagging
fs_opt
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Detailed Instructions: You are shown a conversation between a user and system. Identify who has spoken the indicated sentence based on the conversation. Q: Sentence1: Yes please. Book a table for my party of 8 for 12:45 on Monday. Sentence2: I have made your reservation, with reference #D8E6CV1X . Can I help you with anything else today? Sentence3: I want to arrive in time for my lunch reservation. Sentence4: The good luck Chinese takeaway. Sentence5: Taxi is ready, look for a black lexus, they can be reached at 07505999310, any further questions? Sentence6: That is one of my favorite guesthouses. Do you need a reservation there? Sentence7: thank you for all the information. goodbye Sentence8: No, that's all I needed. Thank you for your help, it's much appreciated! Sentence9: What time would you like to travel? Sentence10: Yes, I am also looking for a hotel named kirkwood house. Sentence11: I also need a taxi between the two places. Sentence12: Yes please for 5 people for 5 nights from Monday please. Sentence13: That's on 82 Cherry Hinton Road. If you need to contact them for directions, their number is 01223244149. Can I help with anything else? Sentence14: Do you know the name of it? I can try and find it for you. Sentence15: I can't find a restaurant I am looking for. Sentence16: Booking was successful. Your reference number is K7VLK45Q . Will that be all? Question: Who has spoken the sentence 12? (A) User (B) System A:
Answer: (A) User
9
NIv2
task638_multi_woz_classification
zs_opt
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In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command. Here are the definitions of logical operators: 1. count: returns the number of rows in the view 2. only: returns whether there is exactly one row in the view 3. hop: returns the value under the header column of the row 4. and: returns the boolean operation result of two arguments 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column 6. nth max/nth min: returns the n-th max/n-th min of the values under the header column 7. argmax/argmin: returns the row with the max/min value in header column 8. nth argmax/nth argmin: returns the row with the n-th max/min value in header column 9. eq/not eq: returns if the two arguments are equal 10. round eq: returns if the two arguments are roughly equal under certain tolerance 11. greater/less: returns if argument 1 is greater/less than argument 2 12. diff: returns the difference between two arguments 13. filter eq/not eq: returns the subview whose values under the header column is equal/not equal to argument 3 14. filter greater/less: returns the subview whose values under the header column is greater/less than argument 3 15. filter greater eq /less eq: returns the subview whose values under the header column is greater/less or equal than argument 3 16. filter all: returns the view itself for the case of describing the whole table 17. all eq/not eq: returns whether all the values under the header column are equal/not equal to argument 3 18. all greater/less: returns whether all the values under the header column are greater/less than argument 3 19. all greater eq/less eq: returns whether all the values under the header column are greater/less or equal to argument 3 20. most eq/not eq: returns whether most of the values under the header column are equal/not equal to argument 3 21. most greater/less: returns whether most of the values under the header column are greater/less than argument 3 22. most greater eq/less eq: returns whether most of the values under the header column are greater/less or equal to argument 3 Example input: eq { hop { nth_argmax { all_rows ; attendance ; 3 } ; competition } ; danish superliga 2005 - 06 } = true Example output: select the row whose attendance record of all rows is 3rd maximum. the competition record of this row is danish superliga 2005-06. Example explanation: Here, the generated sentence interprets given logical form correctly that 3rd maximum should be selected from given table rows. Q: and { only { filter_eq { all_rows ; format ; digital download } } ; eq { hop { filter_eq { all_rows ; format ; digital download } ; record company } ; deutsche grammophon } } = true A:
select the rows whose format record fuzzily matches to digital download . there is only one such row in the table . the record company record of this unqiue row is deutsche grammophon .
3
NIv2
task110_logic2text_sentence_generation
fs_opt
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Q: In this task you are given a statement and an explanation giving you further knowledge about an entity in the statement. You must judge whether the statement is true or false based on the explanation. Label an instance as "True" if the explanation confirms the statement or doesn't disprove it. Label an instance as "False" if the explanation disproves the statement. The statement and explanation are separated by a newline character. The Existence of God as a argument is objectively true. The Existence of God is objectively not true, from a philosophical stand point it may not matter, from a scientific stand point there is no evidence to support it. A:
False
7
NIv2
task403_creak_commonsense_inference
zs_opt
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Definition: Based on the information present in the given passage, you need to write a correct answer to the given question. A correct answer is one that correctly and completely answers the question. Do not write answers that address the question partially or incorrectly. The correct answer must be contained in the given paragraph. Input: Paragraph- Sent 1: Before the mysterious disappearance of one of its passenger jets this month, Malaysia wasn't a country used to finding itself dominating headlines around the world. Sent 2: Some of its Southeast Asian neighbors, including Indonesia and the Philippines, have suffered devastating natural disasters in recent years and are all too familiar with the media frenzy that accompanies a major crisis. Sent 3: But Malaysia has largely managed to stay out of the international spotlight since its independence from British colonial rule more than half a century ago. Sent 4: "It is one of these countries, because of its geography, that doesn't have earthquakes," said Ernest Bower, senior adviser for Southeast Asia studies at the Center for Strategic and International Studies. Sent 5: "It doesn't have tsunamis. Sent 6: It hasn't been tested with a disaster like this."Sent 7: The disappearance of Malaysia Airlines Flight 370 has thrust the government into the dazzling glare of worldwide attention. Sent 8: And it hasn't emerged with very good grades. Sent 9: "I think on a stress test, they're failing," Bower told CNN's Jake Tapper, pointing to the government's coordination of different agencies and communication with other countries. Sent 10: China among critics Criticism and complaints have come from other countries involved in the search for the missing plane, including China and Vietnam, and from the relatives of passengers. Sent 11: Malaysian officials have created confusion by issuing contradictory statements on key aspects of the investigation. Sent 12: The majority of the people on board the plane were Chinese, and Beijing has increasingly voiced its displeasure with the search, especially after Malaysia announced over the weekend that evidence suggested the plane had been deliberately flown west into the Indian Ocean, away from its last confirmed location over the South China Sea. Sent 13: "The new information means the intensive search in the South China Sea for the whole past week was worthless and would never bear fruit," said a commentary published by China's state-run news agency Xinhua. Sent 14: "Even worse, the golden time for saving possible survivors, if any, was generously wasted.". Question: What kind of grades has Malaysia received concerning its handling of the disappearance of Malaysia Airlines Flight 370?. Output:
Failing grades.
2
NIv2
task054_multirc_write_correct_answer
zs_opt
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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). Let me give you an example: Jag förklarar debatten avslutad. The answer to this example can be: The debate is closed. Here is why: Swedish sentence is properly converted into English sentence. OK. solve this: För att minska dessa risker behöver vi snarast ett direktiv. Answer:
We urgently require a directive if we are to reduce these risks.
8
NIv2
task312_europarl_sv_en_translation
fs_opt
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You are shown a conversation between a user and system. Identify who has spoken the indicated sentence based on the conversation. Q: Sentence1: I am planning a trip in Cambridge Sentence2: Are there any expensive restaurants in the south? Sentence3: What time and where are you departing and arriving? Sentence4: Yea, please book me for 8 people on wednesday at 14:30. Sentence5: I'll be leaving Cambridge going to Ely, I'd like to leave after 10:00. Sentence6: Nope you've been wonderful, thanks for all the help. Sentence7: I also need a train. Sentence8: Frankie and bennys is available, would you like to book it? Sentence9: There is one that leaves at 11:50 arriving at 12:07. Would that work for you? Sentence10: There are five expensive restaurants in the south. Would you like Mexican, Italian, Indian, or Chinese food? Sentence11: You are all set, the reference number is OY6PZ53J cost is 35.2 GBP payable at the station . Any other questions today? Sentence12: Booking was successful. The table will be reserved for 15 minutes.Reference number is : 1E5RVHJE .is there any other way i can help you? Sentence13: great, what would you like to know? Sentence14: Unfortunately, I am unable to book at this time. Sentence15: I would like it to leave after 10:00. Sentence16: Thank you for the call, have a great trip. Sentence17: It does and could you please book it for 15 people and could you also give me the reference number? Sentence18: There are 2058 trains to pick from. I'll need to know your departure and destination locations Sentence19: Sorry I actually need that for 8 people on Thursday. Sentence20: italian food willl do Question: Who has spoken the sentence 6? (A) User (B) System A:
Answer: (A) User
4
NIv2
task638_multi_woz_classification
zs_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'. -------- Question: Dialogue 1: 'why do you think i play bass playing the long con hey i went skydiving'. Dialogue 2: 'comedy movie watched it today enjoyed it to the core which is you're favorite comedy movie'. Answer: yes Question: Dialogue 1: 'it's sorry stupid thanks s am i doing this right s grinningfacewithbigeyes my apologies'. Dialogue 2: 'i am happy that makes me happy ok friend s'. Answer: no Question: Dialogue 1: 'who is the fathe of india mr u i thought that u would answer true'. Dialogue 2: 'please it's done send u pick'. Answer:
yes
7
NIv2
task518_emo_different_dialogue_emotions
fs_opt
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You will be given a definition of a task first, then some input of the task. Given an adjective, generate its antonym. An antonym of a word is a word opposite in meaning to it. natural Output:
sharp
1
NIv2
task1508_wordnet_antonyms
zs_opt
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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. [Q]: turn opposite left and look opposite left thrice [A]: I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_LOOK I_TURN_LEFT I_TURN_LEFT I_LOOK I_TURN_LEFT I_TURN_LEFT I_LOOK [Q]: walk opposite left and turn right [A]: I_TURN_LEFT I_TURN_LEFT I_WALK I_TURN_RIGHT [Q]: look opposite right twice and jump left [A]:
I_TURN_RIGHT I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_TURN_RIGHT I_LOOK I_TURN_LEFT I_JUMP
5
NIv2
task128_scan_structured_text_generation_command_action_short
fs_opt
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Definition: Given a review text from amazon and its polarity (either positive or negative). Generate answer "True" if given sentence and its polarity match, otherwise generate answer "False". A review is considered positive if the reviewer is satisfied with the product. Otherwise, it is considered negative. Input: Review: This is such a great game both my 3 year old son and 7 year old daughter love it. I like to play to if they would let me! So much fun decorating the rooms and so many choices to keep you playing Great game. Not at all what you would think a Barbie game would be. Great fun for all!! Polarity: Negative Output:
False
2
NIv2
task494_review_polarity_answer_generation
zs_opt
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instruction: This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must be such that the triplets accurately capture the structure and semantics of the input sentence. The input is a sentence and the output is a list of triplets of the form [subject, predicate, object] that capture the relationships present in the sentence. When a sentence has more than 1 RDF triplet possible, the output must contain all of them. question: Located in riverside near Crowne Plaza Hotel, Browns Cambridge is an Indian restaurant and coffee shop in the average price range. It receives average ratings from customers and is not family-friendly. answer: [['Browns Cambridge', 'eatType', 'restaurant'], ['Browns Cambridge', 'food', 'Indian'], ['Browns Cambridge', 'priceRange', 'moderate'], ['Browns Cambridge', 'customer rating', 'average'], ['Browns Cambridge', 'area', 'riverside'], ['Browns Cambridge', 'familyFriendly', 'no'], ['Browns Cambridge', 'near', 'Crowne Plaza Hotel']] question: The position of the player from Germantown, TN, is infielder. answer: [['Jay Hood', 'POSITION', 'Infielder'], ['Jay Hood', 'HOMETOWN', 'Germantown, TN']] question: Fitzbillies is our new Italian venue, located near The Six Bells and with a price range of more than 30. Treat yourself to this delicious restaurant. answer:
[['Fitzbillies', 'eatType', 'restaurant'], ['Fitzbillies', 'food', 'Italian'], ['Fitzbillies', 'priceRange', 'more than £30'], ['Fitzbillies', 'near', 'The Six Bells']]
9
NIv2
task1410_dart_relationship_extraction
fs_opt
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You are shown a conversation between a user and system. Identify who has spoken the indicated sentence based on the conversation. Ex Input: Sentence1: Thank you. May I have a street address for the police station? Sentence2: welcome. at your service next time Sentence3: Thank you goodbye Sentence4: Certainly. Their address is Parkside, Cambridge. Can I assist you further? Sentence5: I want to know where I would find the Parkside Police Station. Could you tell me? Sentence6: Their postcode is CB11JG, you can reach them at phone number 01223358966. Question: Who has spoken the sentence 2? (A) User (B) System Ex Output: Answer: (A) User Ex Input: Sentence1: You're very welcome. Thank you and goodbye! Sentence2: The earliest train departs Leicester at 05:09 and arrives in Cambridge at 06:54. The cost is 37.80 pounds per ticket. Sentence3: That's all that I need. Sentence4: Any of those will work. Which one is your favorite and where is it located? Sentence5: I'll be departing from Leicester, headed to Cambridge. What do the prices look like? Sentence6: No problem. There are a lot of other options like boating, cinema, colleges, a concerthall, museums, nightclubs, a park, theatres and swimming pools. What are your interests? Sentence7: I also need a train on Wednesday, arriving by 19:00. Sentence8: I'm looking for something to do in the centre of town. Sentence9: Travel time is approximately 105 minutes. Sentence10: Would you like any more information on other attractions? Sentence11: I would really like it to be a attraction type. Sentence12: What is the travel time? Sentence13: Great! I found a lot of things that match what you're looking for. Do you like architecture? Sentence14: I can help you with that. What are the departure and destination cities you were looking for? Sentence15: No, that will be all. Thank You for all your help. Sentence16: I'd try the cambridge contemporary art museum, at 6 trinity street. Question: Who has spoken the sentence 13? (A) User (B) System Ex Output: Answer: (B) System Ex Input: Sentence1: I have booked your ticket, the reference number is : ECTZFFR5 . Is there anything else I can do for you. Sentence2: I can assist you with that. Where are you travelling to and from? Sentence3: I'm going from Cambridge to the Stansted Airport. Sentence4: Not at this time. Thank you so much for everything. Have a great day! Sentence5: I need a train on Friday, arriving by 12:15. Sentence6: That one sounds fine. Can you book it for 3 people? I will need the reference number too. Sentence7: The TR5998 leaves cambridge at 10:40 and arrives stansted airport at 12:08. It's price is 10.10 pounds. There are earlier trains if you wish. Sentence8: You are very welcome, goodbye. Question: Who has spoken the sentence 1? (A) User (B) System Ex Output:
Answer: (B) System
1
NIv2
task638_multi_woz_classification
fs_opt
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instruction: In this task, you are given music product reviews in French language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative. question: Le meilleur de Cabrel . Incontestablement le meilleur album de Cabrel (un des plus grands chanteurs français contemporains), et un des plus grands disques de chanson française qui soient ! Parfait, ce disque, du long de ces 50 minutes (et autant de secondes), propose 10 immenses titres, pas un seul n'est moins bon que les 9 autres. Seul petit bémol : les 4 hits du disque sont tous placés au début de l'album. Pourquoi ne pas les avoir dispatchés plus largemen sur toute la galette ? Quand on l'écoute pour la première fois, on entend d'abord les hits que tout le monde connaît, puis, ensuite, 5 chansons (certes magnifiques) inconnues des radios. Dispatcher les 4 hits tout du long du disque l'aurait rendu sans doute un peu plus intéressant. Mais comme j'adore ce disque dans sa totalité, ça ne me gêne que très légèrement ! answer: POS question: quelle surprise! . Alors là, complètement bluffé!!! J'avais les "mauvais" à priori concernant les chansonnettes avec les marionnettes et les yeux bleus, etc...et récemment je suis tombé par hasard sur des critiques très positives de cet album, de la part d'un auteur-compositeur auquel je n'avais jamais fait attention. Cet album est superbe: superbes mélodies, ambiance, beaux textes avec une voix troublante,...Le travail du son est impeccable, ainsi que l'orchestration. Un must! answer: POS question: Rock n Roll . ... en 1993, a la sortie de l album, un concours était organisé en France dont le gagnant était le 1er a donner le nombre exact de Spaghetis sur la pochette. Le vainqueur se voyait offrir le prochain album du groupe. Autant dire que le malheureux qui s est usé les yeux (et les illusions ;-) ) a ce petit jeu doit encore attendre.... comme des millions d'autres fans de par le monde. answer:
POS
9
NIv2
task484_cls_french_music_classification
fs_opt
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In this task you will be given a list of integers. For every element in the list, if the element is positive you should multiply it by 2. If the element is negative you should multiply it by -3. The output should be a list of integers that is the result of applying that logic to the input list. Note: A list is presented with comma separated numbers inside two brackets. Input: Consider Input: [78, 8, -74, 24, -33] Output: [156, 16, 222, 48, 99] Input: Consider Input: [-54, 4, 98, -81, 89, -91] Output: [162, 8, 196, 243, 178, 273] Input: Consider Input: [-75, -32, 95]
Output: [225, 96, 190]
2
NIv2
task374_synthetic_pos_or_neg_calculation
fs_opt
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Q: You are given a sentence in English. Your job is to translate the English sentence into Galician. Now, this is a study that followed about 70,000 people for 30 years. A:
Este é un estudo que seguiu a 70.000 persoas durante 30 anos.
7
NIv2
task1090_ted_translation_en_gl
zs_opt
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Detailed Instructions: In this task, you're given a passage, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'. Problem:Passage: On 4 June 1799, the First Battle of Zurich was fought between André Masséna's 45,000-strong Army of the Danube and a 53,000-man Austrian army led by Archduke Charles, Duke of Teschen. Austrian casualties numbered 2,400 and eight guns while the French lost 4,400 men and 28 guns. Though the French held their ground, Masséna evacuated Zürich the next day and withdrew to a strong position overlooking the city. Altogether, Masséna commanded 76,781 troops. In Switzerland were infantry divisions under Claude Lecourbe (1st), Joseph Chabran (2nd), Jean-de-Dieu Soult (3rd), Jean Thomas Guillaume Lorge (4th), Jean Victor Tharreau (5th), François Goullus (6th), Joseph Souham (7th) and Louis Marie Turreau (Valais), a cavalry division under Louis Klein and an infantry reserve under Jean Joseph Amable Humbert, plus occupation troops. The 6th and 7th Divisions were supervised by Pierre Marie Barthélemy Ferino while Lecourbe controlled the 1st and 2nd. Included in Masséna's command were Claude Juste Alexandre Legrand with 6,186 men and Claude-Sylvestre Colaud with 5,106 men watching the Rhine north of Strasbourg. Opposed to the French were 85,000 troops led by Charles, including a force watching the French divisions on the Rhine to the north and eight battalions under Gottfried von Strauch near the Saint Gotthard Pass in the south. Link Information: The Gotthard Pass lies on the main watershed of the Gotthard massif, a massif lying at the heart of the Swiss Alps, Question: What mountain range is Gotthard Pass part of? Solution:
Answer: the Swiss Alps
8
NIv2
task238_iirc_answer_from_passage_answer_generation
zs_opt
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Teacher:You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese. Teacher: Now, understand the problem? Solve this instance: Algunos recordamos los informes periodísticos procedentes de Rumanía tras la revolución de 1989, cuando vimos con horror las condiciones de algunas instituciones. Student:
Os que de nós se lembrarem das notícias que saíram nos jornais romenos após a revolução de 1989 recordarão os horrores das condições em parte dessas instituições.
6
NIv2
task1104_ted_translation_es_pt
zs_opt
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Definition: In this task, you are given a paragraph (from a research paper) and your task is to classify each sentence of the paragraph (assume n sentence) into the following categories: Background, Purpose, Method, Finding/Contribution, or Other. Return the output in this format: 1 - category of sentence 1, 2 - category of sentence 2, ..., n - category of sentence n; where each number indicates the order of the sentence. The categories can be identified using the following questions: Background: - Why is this problem important? - What relevant works have been done before? - What did the previous works miss? - What are the high-level research questions? - How might this help other researchers? Purpose: - What specific things do the researchers want to do? - What specific knowledge do the researchers want to know? - What specific hypothesis do the researchers want to test? Method: - How did the researchers do it or find it out? - What are the procedures and steps of this research? Finding/Contribution: - What did the researchers find out? Did the proposed methods work? - Did things behave as the researchers expected? Other: put every text fragment that does not fit into any of the categories above here. Put a sentence here if its not in English, is not part of the article, contains numbers and dates, is a caption of a figure or a table, is a formatting error, or you are not sure about it. Input: Prism 7 software is used for statistical analysis. Student's t test was performed for twogroup analysis. Pearson's correlation coefficients were calculated. P values less than 0.05 were considered to be statistically significant. Output:
1 - method, 2 - method, 3 - method, 4 - method
2
NIv2
task352_coda-19_classification
zs_opt
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Given the task definition and input, reply with output. 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. Head: PersonX always ate ___<sep>Tail: full from eating various food
No
5
NIv2
task1196_atomic_classification_oeffect
zs_opt
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In this task, you get an English sentence and a corresponding Spanish translation of the English sentence. Your task is to return a "Yes" if the translation is correct, otherwise return "No" Q: English: (The Commissioner indicated that he would speak later) Very well, thank you. Spanish:Señor Presidente, quien haya visto los efectos medioambientales de la catástrofe del Erika razonablemente no puede votar en contra de un informe cuyo objetivo es la recepción de los restos de petróleo de los buques. A: No **** Q: English: As far as the proposal for a new provision limiting investments in the same group to 15% is concerned, I would like to stress that, apart from the fact that this limit is too low, the text does not define the concept of a group. This concept does not exist under European law because it is impossible to implement and equally impossible to control in practice. Spanish:Con respecto a la propuesta de una nueva disposición tendente a limitar al 15% las inversiones realizadas por entidades pertenecientes a un mismo grupo, deseo subrayar -prescindiendo del hecho de que este límite es demasiado bajo- que el texto no define el concepto de grupo, concepto que no existe en la legislación europea, porque no es factible y porque, además, es imposible de controlar en la práctica. A: Yes **** Q: English: We have before us Malta and Cyprus, which are two States keen to become members. Spanish:Tenemos ante nosotros a Malta y Chipre que son dos países preparados para la adhesión. A:
Yes ****
4
NIv2
task532_europarl_en-es_classification
fs_opt
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Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Italian. Q: There's a saying with which all students of history are familiar: "Geography is destiny." A:
C'è un detto che conoscono tutti gli studenti di storia: "La geografia è il destino."
9
NIv2
task1091_ted_translation_en_it
zs_opt
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Teacher: In this task, you are given an input list A. If the count of numbers is more than that of alphabets in the list, answer 'Numbers Win'. If the count of alphabets is more than that of numbers in the list, answer 'Alphabets Win'. If the count of numbers is same as that of alphabets in the list, answer 'Numbers and Alphabets are Tied'. Teacher: Now, understand the problem? If you are still confused, see the following example: ['238', 'h', '92', 'U', '2799'] Solution: Numbers Win Reason: Here, the count of alphabets is 2, and that of numbers is 3. Since there are more numbers than alphabets, hence the answer is 'Numbers Win'. Now, solve this instance: ['5455', 't', 'K', 'B', '685', 'n', '3229', 'Q', 'r'] Student:
Alphabets Win
2
NIv2
task523_find_if_numbers_or_alphabets_are_more_in_list
fs_opt
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In this task, we ask you to rewrite a sentence in simple English without changing its general meaning. Essentially, you want to make the sentence easier to read by using simpler words, utilizing more straightforward sentence structures, and omitting non-essential information etc. [EX Q]: Supply depots are a type of military installation used by militaries to store battlefield supplies temporarily on or near the front lines until they can be distributed to military units . [EX A]: A Supply depot is a type of military installation used to store military supplies . [EX Q]: The temple of Hathor and Nefertari , also known as the Small Temple , was built about 100 m northeast of the temple of Ramesses II and was dedicated to the goddess Hathor and Ramesses II 's chief consort , Nefertari . [EX A]: The Small Temple was built about 100 meters northeast of the Great Temple . [EX Q]: Choa Chu Kang MRT / LRT station ( NS4 / JS1 / BP1 ) is an above-ground Mass Rapid Transit ( MRT ) and Light Rail Transit ( LRT ) interchange station in Choa Chu Kang , Singapore . [EX A]:
Choa Chu Kang MRT / LRT Station ( NS4 / BP1 ) is an MRT Station in Singapore .
6
NIv2
task933_wiki_auto_style_transfer
fs_opt
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Instructions: In this task, you are given an article. Your task is to summarize the article in a sentence. Input: Shaker Aamer, 48, who has been held in the military prison in Cuba since 2002, could be returned this weekend. He told the BBC's Victoria Derbyshire programme in letters sent via his lawyers that the first thing he wanted when he was free was a cup of coffee. The US government announced last month that he would be released. "I am not getting my hopes up about being back in the UK," he said. "I will believe it when I get there. "There have been so many false promises over the years. "They told me over eight years ago that I was cleared to leave, and here I am, still here." The BBC understands the earliest date Mr Aamer could be released to the UK is 25 October. The announcement of his release was made on 25 September, and the US Congress, by law, is allowed a 30-day notification window to review the inmate transfer. Mr Aamer added: "When I do get back the first thing I want is a cup of coffee. "Then, I need a full medical check-up, somewhere totally confidential where they will finally respect my privacy. "I am an old car that has not been to the garage for years. "But then, I need to be with my family. "You must consider 239 to be like an alien from Mars - 239 is my prison number here and they always call me by it. "I am not sure I would know to respond to anything else - like my name, Shaker. "I have known nothing about the real world for more than 13 years." Mr Aamer was detained in Afghanistan in 2001. US authorities allege he had led a unit of Taliban fighters and had met former al-Qaeda leader Osama Bin Laden. But Mr Aamer has maintained he was in Afghanistan with his family doing charity work. The Saudi national has permission to live in the UK indefinitely because his wife is British. They have four children and live in London. He said British people had nothing to fear from his return. He said: "Islam respects contracts. When I come home to the UK, that is a contract between me and the people of Britain. That means you have to obey the rules. "There was a story about the Prophet [Muhammad] - a man came to him wanting to fight for him, but he had promised the authorities he would not fight. "The Prophet said, 'You must keep your promise to the authorities.'" Mr Aamer said he was grateful to his UK supporters, who are fasting as part of a campaign for his release. "I cried when I read about all the people who were trying to help me," he said. "All of you people have helped me to feel that I am not all alone. "I hope that some time I will be able to pay my respects to you all. "I read in.. Inferno [by Dan Brown] a quote that struck me: 'The worst sickness to hit the world is denial. The only solution is justice.' "All I have asked for is justice. Hate me or hold me, only be just. "Everyone who has helped us here in Guantanamo, even without realising it, they have helped the whole world, and thereby they have helped themselves." The Victoria Derbyshire programme is broadcast on weekdays between 09:15 and 11:00 on BBC Two and the BBC News channel. Output:
The last British resident in Guantanamo Bay says he is "not getting his hopes up" about returning to the UK, as there have been "so many false promises".
3
NIv2
task1290_xsum_summarization
zs_opt
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Given a document, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link]. Example: Verify if the sentiment of the following document towards the entity Bill Clinton is Positive . Bill Clinton knows how to win friends and influence people. The former president is a master of reinvention — and the same talents that guided him into office have propelled him, more recently, into the stratosphere of Internet stardom. Example solution: yes Example explanation: Here the author of the document praises Bill for this ability to win friends. Hence the sentiment should be Positive and the answer is yes. Problem: Verify if the sentiment of the following document towards the entity Michelle Obama is Positive . The former First Lady of the United States Michelle Obama spoke of investing in “creating thousands of mes” when she spoke Tuesday at an event put on by Klick Health a healthcare marketing firm. Klick’s “MUSE” event in New York City billed Michelle Obama as “a transformative First Lady” and also had Sheryl Crow on hand as the musical entertainment. According to AOL the former first lady said “This is why I’m not going to run for president. Because I think it’s a better investment to invest in creating thousands of mes ” and “We don’t need just one we need thousands and thousands.” In ruling out a presidential run she hinted that the Obama brand might not be as shiny and new was it once was saying that young people are “tired of watching us do the same old thing and expect different results.” Time magazine quoted Obama praising Black Lives Matter activists and the anti-gun students who have been promoted into national prominence to combat the National Rifle Association after suriviving a shooting at their Parkland Florida high school as among the hope she sees in the youth. “We see these kids in Florida the Black Lives Matter kids. They are smart they are passionate they do have the right values ” she told the audience. “They know inequity. They know wrong when they see it. There is hope in that next generation. They’re tired of watching us do the same old thing and expect different results.” According to People magazine Obama also appeared to admit she has a committee look over her tweets before she posts them. “I tweet but I have a committee ” she said. “I don’t just tweet off the top of my head which I don’t encourage people to do—especially kids.” The remarks were apparently part of a thinly veiled insult to President Donald Trump over his sometimes-raucous tweeting habits. “How many kids do you know that the first thing that comes off the top of their head is the first thing they should express? You know? It’s like ‘Take a minute. Talk to your crew before you put that [out there] and then spell check and check the grammar ’” she reportedly said. “I think kids do think telling it like it is and talking off the top of your head [is cool] … [but] that’s never been good. We weren’t raised like that. That’s rude. That’s what you call rude. But yes I use social media. But I use it like a grown-up.”
Solution: yes
5
NIv2
task423_persent_document_sentiment_verification
fs_opt
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Q: In this task, you will be shown a conversation and a question. You need to answer the question and choose the correct option based on the conversation. "W" and "M" in the conversations stand for "woman" and "man". W: What do you think of the Modern Art Exhibition? M: It was too difficult for me to understand. But my wife enjoyed every minute of it., Question: Who had a good time in the exhibition? (A) The woman. (B) The man. (C) The man's wife. A:
(C) The man's wife.
7
NIv2
task247_dream_answer_generation
zs_opt
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In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected sentence. Q: Statement: Oh! Tuppence jumped. Choices: 1. Tuppence stayed put. 2. Tuppence leapt and landed on the floor. 3. Tuppence leapt. A: 1 **** Q: Statement: uh sure yeah they they that area has managed to maintain itself very well the people are Choices: 1. There must be a lot of people working to keep that area maintained that well. 2. That are is very poorly maintained. 3. That area is very well maintained. A: 2 **** Q: Statement: Commercial companies demand knowledge from virtual or engineering prototypes, 90 percent of required engineering drawings for the product supported by test results, demonstration that the product meets customer requirements, a series of disciplined design reviews, and stakeholder agreement that the design is stable and ready for product demonstration before a commitment is made to move forward and invest in product demonstration. Choices: 1. The knowledge provided by virtual prototypes is demanded by commercial companies. 2. The knowledge provided by engineering prototypes is simply not demanded by commercial companies. 3. Engineering prototypes are preferred over virtual prototypes by commercial companies. A:
2 ****
4
NIv2
task202_mnli_contradiction_classification
fs_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. The four incorrect answers are other holding statements. You should find the correct option. There is a <HOLDING> token in the position of the citing text prompt where the holding statement was extracted. Input: Consider Input: fact that the oil traversed part of Transocean’s vessel before entering the Gulf of Mexico. We recognize that the aforementioned incidents involved blameless third parties, whereas here the owner or operator of the Deepwater Horizon might have contributed to the discharge. By all accounts, if the vessel’s blowout preventer had functioned properly, the oil would not have entered navigable waters in violation of the Clean Water Act. The defendants therefore reason that liability is properly imposed upon the owner or operator of the Deepwater Horizon. Yet it is well estab lished that this section of the Clean Water Act leaves no room for civil-penalty defendants to shift liability via allegations of third-party fault. See United States v. Tex-Tow, Inc., 589 F.2d 1310, 1314 (7th Cir.1978) (<HOLDING>). Early in the implementation of the Act’s Holding statements: (A) holding defendant assumed risk that third party would consent to search of storage locker where defendant instructed third party to rent locker under third partys name and allowed third party to keep possession of lease papers and to occasionally retain the keys (B) holding exculpatory statements by a third party should have been admitted in the punishment phase notwithstanding the hearsay rule (C) holding principal liable to third party for tort of agent despite lack of privity between principal and third party (D) holding that a third party has authority to consent to a search if the third party is a coinhabitant (E) holding defendant liable for penalty notwithstanding fault of a third party Output: (E) Input: Consider Input: Defendants contend that the amount awarded was excessive and shocking, such as to raise an irresistible inference that passion, prejudice or other improper influence invaded the trial. Defendants initially make this argument on the grounds that the disparity between punitive damages assessed against the “passive wrongdoer” (AGF) is too large in contrast to the amount assessed against the “active wrongdoer” (Risser). We reject this argument for many reasons. First, it assumes that AGF should not have been found liable for negligent retention of an employee. Obviously, the jury disagreed with this assessment. Second, the legal basis for assessing punitive damages on respondeat superior grounds is well-established. Plains Resources, Inc. v. Gable, 235 Kan. 580, 682 P.2d 653, 665 (1984) (<HOLDING>). In the U.S. Supreme Court’s recent deci sion, Holding statements: (A) recognizing that restatement second of torts 323 and 324a correctly state pennsylvania law (B) recognizing kansas courts adoption of restatement second of torts 909 1977 (C) recognizing that restatement second of torts 416 to 429 are often overlapping (D) recognizing tentative draft of restatement second of torts 652e (E) recognizing that kansas supreme court would accept the final draft of the restatement second of torts 652e adopted in 1977 Output: (B) Input: Consider Input: in an attempt to establish diversity jurisdiction in connection wit WL 3535, at *2 (E.D.Pa. Jan. 11, 1991) ("The district courts have inherent authority to enforce professional rules of conduct.... The rules of professional responsibility are applicable in arbitration proceedings. Courts in Pennsylvania and New York have applied such rules in compulsory court-annexed arbitration hearings and in private contractual commercial arbitration hearings.”) (citing Gwertzman v. Gwertzman, Pfeffer, Tokar & Lefkowitz, No. 87 Civ. 6824, 1988 WL 138149 (S.D.N.Y. Dec. 12, 1988) (disqualifying counsel from representing a party in arbitration based on New York Code of Professional Responsibility)). Cf. Bidermann Indus. Licensing v. Avmar N.V., 173 A.D.2d 401, 570 N.Y.S.2d 33, 33 (1st Dep't 1991) (<HOLDING>). 43 . See, e.g., Hempstead Video, Inc. v. Holding statements: (A) holding that an arbitration in accordance with aaa rules is a binding arbitration (B) holding that completed arbitration pending appeal mooted district courts order directing arbitration (C) recognizing that an action at common law can be maintained on an arbitration award rendered under the parties submission that does not comply with the arbitration statute (D) holding that where an arbitration agreement between an employer and employee does not specifically provide for the handling of arbitration costs california courts should interpret the arbitration agreement as providing that the employer must bear the arbitration forum costs (E) holding that state courts can disqualify counsel in an arbitration
Output: (E)
2
NIv2
task268_casehold_legal_answer_generation
fs_opt
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Part 1. Definition Given Statement1 and Statement2 in Croatian, identify a label based on the relationship between them. There are two possible labels: 'cause' and 'effect'. If Statement2 is the consequence of Statement1 then the Label is 'effect'. If Statement2 is the cause of Statement1 then the label is 'cause' Part 2. Example Statement1: Žena se odlučila kandidirati za javnu funkciju. Statement2: Angažirala je voditelja kampanje. Answer: effect Explanation: Statement2 given is the after effect of Statement1. Someone running for public office results in them hiring a campaign manager. Part 3. Exercise Statement1: Muškarac je bio zahvalan što je živ. Statement2: Izliječen je od raka. Answer:
cause
7
NIv2
task1629_copa_hr_classification
fs_opt
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You are given a statement written in Bengali. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement . Output the word from the correct option . Q: Statement: আধুনিক যুগের চিন্তা-চেতনা অনুযায়ী ধারণা করা হয় যে, ব্যাংকিং পদ্ধতির উন্মেষ ঘটে মধ্যযুগ এবং রেনেসাঁর শুরুতে। খ্রিস্টপূর্ব ৫০০০ অব্দ হতে ৪০০ সাল পর্যন্ত প্রাচীন <MASK> গ্রিক, রোমান, ব্যাবিলন ও চীন সভ্যতায় ব্যাংকের অস্তিত্বের ইতিহাস পাওয়া গিয়েছে। খ্রিস্টপূর্ব দ্বিতীয় শতাব্দীতে প্রাচীন গ্রিক, বেবিলন ও মিশরীয় সভ্যতায় ব্যাংকিং কার্যাবলীর যথেষ্ট প্রামাণ লক্ষ্য করা যায়। সে সময়ে ধর্মীয় প্রতিষ্ঠান ও উপাসনালয়গুলোকে কেন্দ্র করে ব্যাংক ব্যবসায় গড়ে উঠে। এরূপ উপাসনালয়কে কেন্দ্র করে গড়ে উঠা ব্যাংক ব্যবসায়কে বলা হতো 'উপাসনালয় ব্যাংকিং। প্রাচীন কালে চীন দেশীয় সভ্যতায় ব্যাংকের ইতিহাস লক্ষণীয়। খ্রিস্টপূর্ব ৬০০ সালে চীন দেশে প্রতিষ্ঠিত 'শান্সী ব্যাংক' এর প্রমাণ। Option A: জেনোয়ায় Option B: ইউরোপ Option C: সিন্ধু, Option D: লোম্বার্ডী A:
সিন্ধু,
4
NIv2
task945_wiki_cloze_bn_multiple_choice_question_answering
zs_opt
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In this task, you have to generate the named entities (NER) given its ingredients of the recipe. Named entities are the names of the items without their quantity. Example Input: For Dotorimuk:, 1/2 cup acorn jelly powder (dotori mukgaru), 3 cups water, 1/2 ts salt, For the seasoning sauce:, 1/3 cup soy sauce, 2 ts honey or sugar, 3 garlic cloves, minced, 3 stalks of green onions, chopped, 1 tbs hot pepper flakes, 1 tbs and 2 ts toasted sesame oil, 1 tbs toasted sesame seeds, add right before serving so they don't lose their crispiness, garnish with shredded red pepper (shilgochu), For the vegetables:, 2 cups lettuce cut into bite size pieces, 1/4 cup onion, sliced thinly, 1 cup's worth edible chrysanthemum (ssukgat), cut into bite size, 3-5 perilla leaves, chopped, 2 tbs worth carrot, shredded, 1/2 cup's worth cucumber, thinly sliced, 1 red chili pepper, chopped, 1 green chili pepper, chopped Example Output: acorn jelly powder, water, salt, soy sauce, honey, garlic, stalks of green onions, pepper, sesame oil, sesame seeds, red pepper, vegetables, ¼, 's worth edible chrysanthemum, perilla, worth carrot, 's worth cucumber, red chili pepper, green chili pepper Example Input: 1 cup Nutella, 1-1/2 cup Powdered Sugar, 2 Tablespoons Softened Butter, 1/2 cups Brown Sugar, 80 whole Small Pretzels (like Mini Twists, Snaps, Pretzel Crisps, Etc.), 1 whole Bag White Chocolate Chips, 12 Ounce Bag, Sprinkles Example Output: Nutella, Powdered Sugar, Butter, Brown Sugar, Pretzels, Chocolate Chips, Sprinkles Example Input: 1 egg whites, 25 grams icing sugar, 25 grams All purpose flour, 25 grams unsalted butter, 1 tbsp cocoa powder, 45 grams unsalted butter, 75 grams all-purpose flour, 3 eggs, 80 grams caster sugar, 1/2 tsp lemon essence Example Output:
egg whites, icing sugar, flour, butter, cocoa, butter, flour, eggs, caster sugar, lemon
3
NIv2
task570_recipe_nlg_ner_generation
fs_opt
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instruction: Given a phrase describing the relationship between two words, extract the words and the lexical relationship between them. The relation has to be of the type 'MemberOf', 'MadeOf', 'Synonym', 'Entails', 'HasA', 'HasProperty', 'PartOf', 'Antonym' or 'IsA'. The output should have the format: word1 relation word2. question: ice can be characterized by solid answer: ice HasProperty solid question: action is a kind of event answer: action IsA event question: enemy can be characterized by bad answer:
enemy HasProperty bad
9
NIv2
task1510_evalution_relation_extraction
fs_opt
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A text is given in Bengali. Translate it from the Bengali language to the Gujarati language. The translation must not omit or add information to the original sentence. [EX Q]: આ આકલનનાં ત્રણ ચક્ર અનુક્રમે વર્ષ 2006, વર્ષ 2010 અને વર્ષ 2014માં પૂર્ણ થયાં હતા. [EX A]: ২০০৬, ২০১০ এবং ২০১৪ সালে এর আগে তিনটি পর্যায়ে পরিসংখ্যানের কাজ শেষ হয়েছে। [EX Q]: પ્રધાનમંત્રી હોલોંગી ખાતે એક ગ્રીનફિલ્ડ એરપોર્ટનો શિલાન્યાસ કરશે. [EX A]: বিমানবন্দরে একাধিক স্হায়ী ব্যবস্হা থাকবে, যেমন- শব্দদূষণ রোধ করতে বিমানবন্দরের দিকের রাস্তাটির দু ধারে সবুজ বেল্ট, বৃষ্টির জলে সেচ ব্যবস্হা, শক্তি সাশ্রয়ী যন্ত্রপাতির ব্যবহার ইত্যাদি। [EX Q]: અત્યાર સુધીમાં આ પેકેજમાં માળખાગત, આરોગ્ય અને શિક્ષણ સંબંધિત વિવિધ યોજનાઓ માટે 66 હજાર કરોડથી વધુ મંજૂર કરવામાં આવ્યા છે. [EX A]:
বহু বছর পর ভারতীয় বিমানবাহিনীতে অত্যাধুনিক জঙ্গি বিমান রাফায়েলকে সামিল করার উদ্যোগ নেওয়া হয়েছে। জম্মু-কাশ্মীর এবং লাদাখ অঞ্চলের উন্নয়নের জন্য সরকার উদ্যোগ নিয়েছে।
6
NIv2
task1068_pib_translation_gujarati_bengali
fs_opt
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Teacher:In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen after that sentence. Is any of them directly caused by it, or is made possible by it? You should write your answer in the form " A >causes/enables> B". Try to use phrases and sentences from the story to compose your answer when possible. Do not change the main selected sentence in your answer. Teacher: Now, understand the problem? Solve this instance: story: Tom asked Allie on a date. Allie said yes. Tom drove Allie to a movie. They went to dinner next. They had a good time. selected sentence: They had a good time. Student:
Tom asked to Allie for dinner >Causes/Enables> They had a good time at movie.
6
NIv2
task748_glucose_reverse_cause_event_detection
zs_opt
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Given a sentence in the Japanese and Filipino language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No". [Q]: Japanese: 「私はこれが歴史上最もすばらしいレースの1つになると思って、そして、私はそれに関わる機会が欲しかった。」 Filipino: "Akala ko'y ito ay magiging isa sa mga pinakamagandang karera sa kasaysayan, at gusto ko ang pagkakataon na maging kabahagi nito." [A]: Yes [Q]: Japanese: その決定は彼らが決定の「却下」に反対したように、申請を担当する機関の責任者と新薬研究所の所長によって承認されなかった。 Filipino: "Ang misayl ay mukhang ipinaputok sa pamamagitan ng isang drone," sabi ng isang opisyal ng intelehensya ng Pakistan. [A]: No [Q]: Japanese: GoMは、大学や登録団体、市民社会団体やNGOがそのような局の運営を許可されることを提案した。 Filipino: Ang GoM ay nagmungkahi na ang mga unibersidad, mga nakarehistradong trusts, mga kinatawan ng mga tao at mga NGO na payagang magpatakbo ng mga gayong istasyon. [A]:
Yes
5
NIv2
task1120_alt_ja_fil_answer_generation
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, based on the given context word, you are asked to create a pair of sentences each containing a blank (_) and their corresponding answer. The sentence pair should look similar, and should be about two related but different objects; for example "trophy" and "suitcase". Additionally, the two sentences must be different in terms of trigger words (e.g., "small" and "big") which express contrasting properties about the two objects. The answer must not be associated with the trigger word; instead, it should depend on the context present in twin sentences. Also, the answers should not be ambiguous. For each sentence, there should be an agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use animals and proper nouns (e.g., New York, Macbook, Jeff Bezos, McDonald's, ...) as your objects. Avoid repeating the same style or phrase in twin sentences. E.g., a contrasting sentence can always be created using simple negation i.e. by adding not, never, etc. Instead, try to increase diversity. Both twin sentences must contain at least 15 and at most 30 words. Twin sentences must have at least 70% overlapping words. You must utilize the given context word while writing the twin sentences. Each of the twin sentences must contain only one blank. Make sure that ObjectX and Y have the same number e.g. when ObjectX is singular, ObjectY must be singular, too. The two objects (ObjectX & ObjectY) should be used ONCE in each sentence. Here is a list of contrastive words that may be used as trigger words. You should create more such trigger words and use them in your twin sentences. | Attribute | triggerword | contrastive triggerword | | age | old | new | | altitude | low | high | | area | small | vast | | brightness | dark | light | | clarity | obscure | clear | | cleanness | dirty | clean | | complexity | simple | complex | | cost | cheap | expensive | | density | sparse | dense | | depth | shallow | deep | | distance | near | far | | electric conductivity | low | high | | flexibility | rigid | flexible | | granularity | fine | coarse | | hardness | soft | hard | | length | short | long | | magnitude | small | large | | mass | small | large | | odor | weak | strong | | pressure | low | high | | resistance | low | high | | shape | round | sharp | | shape | flat | spiky | | size | small | large | | sound | quiet | loud | | sound pitch | low | high | | speed | slow | fast | | stability | unstable | stable | | strength | weak | strong | | temperature | low | high | | texture | smooth | rough | | thermal conductivity | low | high | | thickness | thin | thick | | volume | small | large | | weight | light | heavy | | width | narrow | wide | | location | in | out | | location | up | down | | location | above | below | | location | on | off | | location | to | from | Context Word: acceleration. Output:
Sentence 1: The car was losing pace with the truck in the race, as the _ was weakening its acceleration. Answer1: car. Sentence 2: The car was losing pace with the truck in the race, as the _ was increasing its acceleration. Answer2: truck.
1
NIv2
task029_winogrande_full_object
zs_opt
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Detailed Instructions: Generate a question which can yield the answer mentioned in the input. Generated question must be answered by the answer provided in input, without using any extra knowledge. See one example below: Problem: Context : Isaac Nicola Romero (1916 in Havana, Cuba -- 1997) was a prominent Cuban guitarist and one of the founders of the modern Cuban Guitar School. Answer : Havana Solution: What was Isaac Nicola's city of birth? Explanation: The answer to the generated question according to context is Havana which is correct Problem: Context : Cristina Dinu (born 18 January 1993 in Bucharest) is a professional Romanian tennis player. Answer : Bucharest Solution:
What city is Cristina Dinu associated with?
4
NIv2
task1326_qa_zre_question_generation_from_answer
fs_opt
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In this task, you will be shown a passage. You need to write a fill-in-the-gap question based on your understanding of the events that might be inferred from the passage. Your question should be answerable based on the passage and only have one correct answer. Show the gap in your question with a _ . Q: Fox News is slapping back saying Donald Trump didn't dump them, but they ditched The Donald first. 'At 11: 45 a.m. today, we canceled Donald Trump's scheduled appearance on The O'Reilly Factor on Thursday, which resulted in Mr. Trump's subsequent tweet about his "boycott" of Fox News,' a spokesperson for the network said. Trump has been on a Fox News tear again this week, letting it rip on Bill O'Reilly yesterday, calling his show 'boring' and full of 'Trump haters.' He then moved to Megyn Kelly last night, saying she was 'highly overrated.' He crescendoed his assault at 12:02 p.m. today, announcing on Twitter that he 'won't be doing any more Fox shows for the foreseeable future,' because, he said, he was treated 'unfairly.'This week, Donald Trump took to Twitter and called Megyn Kelly 'overrated and Bill O'Reilly's show 'boring'The billionaire then tweeted that he would no longer be going on Fox News because the network wasn't treating him fairlyBut Fox shot back saying they DUMPED Trump first - and then he staged his boycott A: The offending segment on Kelly's show seems to be a discussion _ had with Fox News' Brit Hume. **** Q: It is not often you hear this said but the goalkeeper really should have scored. Deep in injury time, with Blackburn’s FA Cup journey about to end, Simon Eastwood appeared for a corner and found the ball at his feet as it dropped from a jumble of players 12 yards out. Eastwood, oddly, had time and, even more strangely given the melee in the area, he had space, too. He had the whole goal to aim at. He should have scored. As it happened, his right-foot shot on the turn was struck well enough but it was straight at Liverpool goalkeeper Simon Mignolet, who managed to parry the ball and then grab it as it threatened to spin over the line.Philippe Coutinho scored in the 70th minute for Liverpool at Ewood ParkThe Brazilian found the bottom corner of Simon Eastwood's goal in FA Cup quarter-final replayThe first tie between the two sides at Anfield last month ended in a goalless drawLiverpool to face Aston Villa in semi-final at Wembley on Sunday, April 19 A: _ goalkeeper Simon Eastwood almost scored a dramatic late equaliser when he went up for a stoppage-time corner. **** Q: Los Angeles (CNN) -- Don Cornelius, the founder of the "Soul Train" television show, was found dead of an apparent self-inflicted gunshot wound to his head Wednesday, authorities said. He was 75. Cornelius died of a gunshot wound at a house on Mulholland Drive, said Los Angeles police Officer Tenesha Dodine. Police responded to the call about 4 a.m. (7 a.m. ET), Dodine said. Cornelius was pronounced dead at Cedars-Sinai Medical Center, according to Lt. Larry Dietz of the Los Angeles County Coroner's Office. Los Angeles police investigators reported to the coroner that Cornelius died from a "self-inflicted gunshot wound to the head," coroner's Assistant Chief Ed Winter said. The coroner's office will perform an autopsy to confirm the cause of death.NEW: "Last time I saw him, he was pretty sick," Gladys Knight saysPolice believe the gunshot wound to Cornelius' head was self-inflicted, coroner saysQuincy Jones calls Cornelius a "visionary pioneer and a giant in our business"Cornelius used his own money to launch "Soul Train" in 1970 A:
In an interview with CNN Wednesday, _ said he appeared in ill health when she saw him recently. ****
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NIv2
task301_record_question_generation
fs_opt
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Given the task definition, example input & output, solve the new input case. Given a real-life anecdote of a complex ethical situation, identify who is wrong here. Classify each post into the following categories : AUTHOR (if the author of the post is wrong in the situation), OTHER (if any of the others mentioned in the paragraph is wrong), EVERYBODY (if everyone mentioned is wrong) and NOBODY (if no one is wrong in the situation). Example: Pretty much was hanging out with two friends. I was watching the Lakers game. They won at the very last minute and I immediately hopped up and celebrated. Before I could even finish celebrating one friend started going on about how the Lakers suck. It just pissed me off so much I screamed at her to get out my room until she left. She knows I'm a huge fan and she likes them too. She was only saying it to antagonize me. Am I the dick here? Output: AUTHOR It is very rude to shout at someone and ask her to leave the room even if her comments may have antagonized the author. Hence author is at fault here. New input case for you: (Sorry if my formatting is bad I'm on mobile) I have a friend with very mild bipolar disorder who is mad at me over a school shooting joke her friend told us. I have the very stereotypical school shooter look (A.K.A I'm A white kid who wears a trench coat, combat boots, ski mask, and snap back.) I'm very use to being the butt of the jokes in my school and she's use to hearing them. Well one day she joked around saying that if I where to ever go through with the jokes I should give her my hat first. Well she walked away for a bit and her and my close friend suggested I should walk into school one day put the hat on her head and say "I won't be needing this anymore". At that point I started cracking up so she came back over and asked what was funny, so her friend repeats the joke and she gets mad and storms off. She slowly distanced herself from me but not the people making the jokes. She's also been trying to ruin my life by grasping at straws to go tell the school officials. I finally asked one of her friends why she's been doing this and they brushed it off as her bipolar disorder (we where friends for 6 years and this never once came up between me and her.) I finally got tired of this and started retaliating by making fun of her for every insult thrown my way Her friends started confronting me calling me the asshole for "bullying" a girl with "bipolar disorder". They also have been distancing from me or getting mad when I insult her back. The friend who made the original comment refuses to take the blame because "it's funny to see me mad". I'm not looking for justification for me I just want to get other people's opinion on whose the asshole. I'm also sorry if it seems like there's a lot of bias I tryed my best to stay subjective Output:
EVERYBODY
1
NIv2
task498_scruples_anecdotes_whoiswrong_classification
fs_opt
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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'. Ex Input: Premise: Organic molecules have carbon and hydrogen; Hypothesis: The element carbon is present in all organic molecules. Ex Output: entails Ex Input: Premise: A mendelevium atom has 101 electrons, of which at least three (and perhaps four) can act as valence electrons. Hypothesis: Four valence electrons can be found in a carbon atom. Ex Output: neutral Ex Input: Premise: He stressed that the majority of nevirapine-associated rashes occur within the first 6-8 weeks of starting therapy ( Figure 8 ). Hypothesis: By 8 weeks, all major organs start developing. Ex Output:
neutral
1
NIv2
task1529_scitail1.1_classification
fs_opt
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You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew. Example Input: Esta misión es ir a dónde nadie ha ido antes de la Tierra. Example Output: משימתה היא ללכת היכן ששום אדם עוד לא הילך על כדור הארץ. Example Input: La tercera es potos (planta del dinero en inglés) y nuevamente ésta es una planta muy común; se cultiva preferentemente mediante hidroponía. Example Output: הצמח השלישי הוא הפוטוס, וגם הוא צמח נפוץ מאוד שמעדיף לצמוח בגידול הידרופוני. Example Input: Se centra en algo que leí hace mucho tiempo de un tipo llamado Rabí Hyman Schachtel. Example Output:
וזה מתמקד במשהו שקראתי לפני הרבה זמן מאת בחור בשם רב היימן שכטל.
3
NIv2
task1229_ted_translation_es_he
fs_opt
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Teacher: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, feel what is mentioned in the Tail or not. Feelings in this task are the emotional reactions on the part of PersonY or other participants in an event. For example, as a result of gift-giving, others (in this case, PersonY) might feel appreciated. 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. Teacher: Now, understand the problem? Solve this instance: Head: PersonX arrives at PersonY understanding<sep>Tail: accepted Student:
Yes
6
NIv2
task1197_atomic_classification_oreact
zs_opt
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You are given a statement written in Marathi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option . -------- Question: Statement: इ.स. १९८७ साली <MASK> भरलेल्या अखिल भारतीय मराठी नाट्य संमेलनाचे अध्यक्षपद कोल्हटकरांनी भूषवले. तसेच, नाट्य परिषदेच्या पुणे शाखेचे अध्यक्षपदही त्यांनी सांभाळले. तर संस्कार भारती चे ते महाराष्ट्र प्रदेशाध्यक्ष पदही त्यांनी भूषविले होते. Option A: इंदुरात Option B: पुणे Option C: अमरावती Option D: नियामी Answer: इंदुरात Question: Statement: याआधी ऑगस्ट ६ रोजी एनोला गे नावाच्या बी-२९ प्रकारच्या विमानाने लिटल बॉय असे नामकरण केलेला परमाणु बॉम्ब <MASK> शहरावर टाकून ते शहर नष्ट केले होते. Option A: जपान Option B: अमेरिकेने Option C: हिरोशिमा Option D: नागासाकी Answer: हिरोशिमा Question: Statement: एअर लंकाने <MASK> व मेअर्स एअरलाईनकडून भाडयाने घेतलेल्या अनुक्रमे बोईंग ७० ७ व ७३ ७ विमानांच्या उड्डाणांनी विमानप्रवासाला सुरूवात केली. १५ एप्रिल १९८२ रोजी प्रथमच निप्पोन एअरवेजकडून एल १०११ हे विमान खरेदी करण्यात आले. Option A: अलिटालिया Option B: पाकिस्तान Option C: अमेरीका Option D: सिंगापूर Answer:
सिंगापूर
7
NIv2
task950_wiki_cloze_mr_multiple_choice_question_answering
fs_opt
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Definition: In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list. Input: [[38, -4, -17], [46, -36, -27, 27, 20], [-21, -11], [-28, -23, 31, 4, -25], [20, -21, -40, -8, -23], [26, -28, -11, 31, -34], [8, 22, -45, -35, -14]] Output:
[2584, 24144480, 231, -1996400, 3091200, -8440432, -3880800]
2
NIv2
task371_synthetic_product_of_list
zs_opt
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Teacher: In this task you are expected to provide an SQL statement from an english description of what that SQL statement does. The description may include multiple steps but you should only ouput one SQL statement that accomplishes every step. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1. Teacher: Now, understand the problem? If you are still confused, see the following example: Step 1: For each row in Movie table, find the corresponding rows in Rating table. Step 2: find each value of director in the results of step 1 along with the summation of stars of the corresponding rows to each value Solution: SELECT T1.title , Sum ( T2.stars ) FROM Movie AS T1 JOIN Rating AS T2 ON T1.mID = T2.mID GROUP BY T1.director Reason: This SQL statement uses a "JOIN" statement to combine the "Movie" and "Rating" table then find the corresponding rows by comparing the movie id, which accomplishes step 1. Finally the SQL statement groups the values by each director and returns the title of each movie and the sum of all the stars, which accomplishes step 2. This is a good example. Now, solve this instance: Step 1: For each row in Shipments table, find corresponding rows in Invoices table and in Orders table. Step 2: find customer_id of the results of step 1 with largest value of invoice_date Student:
SELECT T2.customer_id FROM Invoices AS T1 JOIN Orders AS T2 JOIN Shipments AS T3 ON T1.invoice_number = T3.invoice_number AND T3.order_id = T2.order_id ORDER BY T1.invoice_date Desc LIMIT 1
2
NIv2
task077_splash_explanation_to_sql
fs_opt
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Detailed Instructions: In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language. Problem:Cine produce acum destul doar pentru un miliard? Solution:
Who does it now only produce enough for billion?
8
NIv2
task1435_ro_sts_parallel_language_translation_ro_to_en
zs_opt
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Detailed Instructions: In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False". Problem:Paragraph: The cancer burden is a global problem, and oncology nurses should be accountable for delivering safe and effective cancer care and providing the best possible experience for patients. The development and application of evidence-based practice in cancer care is an effective strategy in achieving this goal; however, the journey in which such practice involves may encounter various challenges. In this article, the author discusses her own experience, successful and unsuccessful of such a journey. Both challenges and opportunities are identified, and suggestions put forward for making collaborative efforts. Title: Evidence-Based Practice in Cancer Care Asia-Pacifi c Solution:
True
8
NIv2
task1162_coda19_title_classification
zs_opt
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In this task, you will be given text in English. You need to translate the text into the Sinhali language. Ex Input: Rate of heart beat can be affected by exercise and fitness levels, age, body temperature, basal metabolic rate and even a person's mental condition. Ex Output: ව් යායාම සහ යෝග් යතා මට්ටම්, වයස, දේහ උෂ්ණත්වය, පාදස්ථ පරිවෘත්තීය වේගය, සහ පුද්ගලයකුගේ මානසික තත්ත්වය පවා හෘද ස්පන්දන වේගය කෙරෙහි බලපෑ හැක. Ex Input: The Wort is put into tanks for fermentation where sugar is transformed into alcohol by yeast present on the grapes. Ex Output: අමු බීර පැසවීම සඳහා ටැංකිවලට දමන අතර මිදිවල සිටින යීස්ට් මගින් සීනි මද්‍යසාර බවට හැරවෙයි. Ex Input: The character is depicted as wearing a domino mask either with a green suit and bowler hat, or a green unitard with question mark prints. Ex Output:
මෙම චරිතය දොමිනෝ ආවරණයක් පැළඳීම නිසා හෝ කොළ පති ඇඳුමක් සහ වටකුරු තොප්පියක් පැළඳීම නිසා හෝ ප්‍රශ්නාර්ථ සලකුණක් මුද්‍රිත කොළ පති ඇඳුමක් නිසා විස්තර කෙරෙයි.
1
NIv2
task604_flores_translation_entosn
fs_opt
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You are given a sentence in Galician. Your job is to translate the Galician sentence into Italian. Input: Consider Input: Probaron todas as medicinas, todos os tratamentos que se lles ocorreron. Output: Provarono ogni farmaco, ogni cura a cui riuscirono a pensare. Input: Consider Input: Pero o que fan é amosar o que é posíbel coa tecnoloxía de hoxe. Output: Ma quello che fanno veramente è mostrare cosa sia possibile fare con la tecnologia di oggi. Input: Consider Input: E pensei, está a punto de trabarme.
Output: Ho pensato che stesse per mordere
2
NIv2
task1243_ted_translation_gl_it
fs_opt
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Detailed Instructions: 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. Problem:@AndeeD hey thanks! seems a pity not to eat it, sounds fairly nutritious Solution:
positive
8
NIv2
task195_sentiment140_classification
zs_opt
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Detailed Instructions: You will be given a context and a verb separated with a newline character. You have to identify if the given verb implies an opinion, an intention, a wish or not. Please note that a verb refers to an intention only if it refers to an event planned to happen in the future and is not conditional (or part of a condition). The output should be: 'Yes' if the verb refers to an opinion, an intention, or a wish; and 'No' otherwise. Problem:Until Thursday, they had not called Kopp a suspect. Investigators would not divulge the evidence against Kopp but (said) last month's discovery of a scope-equipped rifle buried near the Slepian home represented a major breakthrough. Verb: said Solution:
No
8
NIv2
task456_matres_intention_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're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the letters E, C, and N respectively. Sentence 1: A surfer is in the air while surfing in the ocean, and there is a foamy wave crashing everywhere. Sentence 2: A man is laying on the couch watching television. Output:
C
1
NIv2
task190_snli_classification
zs_opt
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Detailed Instructions: In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A. Problem:8, ['7645', '4005', '5989', '5545', 'O', 'W', 'w', '9865', '3203', 'e', 'Q', '7083', '3901', '979', '5149', 'F', '1269', 'h', 'E', 'h', '8899', '255', 'J', '9469', 'w'] Solution:
3203, e, Q, 7083, 3901, 979, 5149, F, 1269, h, E, h, 8899, 255, J, 9469, w
8
NIv2
task064_all_elements_except_first_i
zs_opt
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