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Instructions: A text is given in Marathi. Translate it from the Marathi language to the Tamil language. The translation must not omit or add information to the original sentence. Input: 3 सहकाराद्वारे दुग्ध उत्पादनात उपजीविका सुधारणा प्रकल्प, याबाबत जेआयसीएने जुलै 2018 मध्ये पूर्वतयारी सर्वेक्षण सुरू केले. Output:
[ -0.20857055485248566, 0.8367070555686951, -0.2840311527252197, -0.18584248423576355, 0.007483794819563627, -0.39263224601745605, -0.06458713859319687, 0.7491086721420288, -1.3907989263534546, 0.7321270108222961, -0.5057380199432373, -0.8609315156936646, -0.5813227295875549, -0.400047838687...
In this task, you're given a text and question. The question is about the topic of the document. You are expected to generate an incorrect answer. The incorrect answer should be among one of the following categories: 1)Company, 2)Educational Institution, 3)Artist, 4)Athlete, 5)Office holder, 6)Mean of transportation, 7)Building, 8)Natural place, 9)Village, 10)Animal, 11)Plant, 12)Album, 13)Film, 14)Written work Input: Consider Input: Text: Amorphoscelis nubeculosa is a species of praying mantis found in Cameroon. Question: WHat is the classified topic name Output: Company Input: Consider Input: Text: The Journal-Courier is an American daily newspaper published in Jacksonville Illinois. It is owned by Ohio Community Media a subsidiary of Versa Capital Management.With a history dating back to 1830 the Journal-Courier claims to be the oldest continuously published newspaper in Illinois. Question: WHat is the classified topic name Output: Artist Input: Consider Input: Text: Clarkson University is a private university located in Potsdam New York. It was founded in 1896 and has an enrollment of about 3500 students studying toward bachelor's master's and doctoral degrees in each of its schools or institutes: the Institute for a Sustainable Environment the School of Arts & Sciences the School of Business and the Wallace H. Coulter School of Engineering. Clarkson University ranks #11 among Best Engineering Colleges By Salary Potential Question: WHat is the classified topic name
[ -0.6670498251914978, 0.5415290594100952, 0.2726617753505707, 0.40247365832328796, 0.2825968563556671, -0.15317130088806152, -0.4338691830635071, 0.5851072072982788, -0.15849289298057556, 0.3962605595588684, -0.17622046172618866, -0.06894609332084656, 0.021904973313212395, -0.03706460446119...
You will be given a definition of a task first, then some input of the task. Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage. Context: Many patients with psoriasis have developed acute promyelocytic leukemia (APL) whereas few reports on psoriasis-associated APL were found in the published literature. This study was aimed to study the etiology, clinical characteristics, and prognosis of psoriasis-associated APL and to map a suitable treatment regime for this condition.', 'This study retrospectively analyzed the clinical data of 17 patients with psoriasis-associated APL diagnosed and treated in our hospital in the past decade.', 'The 17 patients accounted for 8.3% of the total patients diagnosed with de novo APL during the same period in our hospital. Their clinical characteristics of APL were similar to those of general APL. Four patients had a definite history of taking bimolane. All patients received arsenic trioxide (ATO)-based remission induction and postremission treatment. After induction, 15 patients (88%) achieved hematologic complete remission. With a median follow-up of 27 months, the 3-year estimates of overall survival were 77.2%\u2009±\u200912.4% and the 3-year estimates of event-free survival were 70.6%\u2009±\u200913.5%. In addition, the ATO-based remission induction and postremission treatment significantly improved psoriasis symptoms in 83 and 85.7% of patients, respectively. Through the final follow-up, no chronic arsenicosis or secondary malignancy was observed. Answer: Psoriasis patients are at high risk for APL. The increased risk is most likely associated with the genetic background and bimolane treatment. The ATO-based therapy is especially suitable for patients with psoriasis-associated APL. Our study also brings a new treatment option for psoriasis. Output:
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You are given a password and you need to generate the number of steps required to convert the given password to a strong password. A password is considered strong if (a) it has at least 6 characters and at most 20 characters; (b) it contains at least one lowercase letter and one uppercase letter, and at least one digit; (c) it does not contain three repeating characters in a row. In one step you can: (1) Insert one character to password, (2) delete one character from password, or (3) replace one character of password with another character. Q: password = DYmwjr.kTLhog.G9BYxdY A:
[ 0.6214516162872314, 1.0919121503829956, 0.27178293466567993, -0.7971310615539551, 0.051643066108226776, -0.3621983528137207, 1.3769748210906982, -0.5534071922302246, 0.19881993532180786, -0.6840534210205078, 0.08735397458076477, 0.14285516738891602, -1.1559491157531738, -0.2222570180892944...
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". Q: Gujarati: એક વસવાટ કરો છો ખંડ ગોઠવાય છે જેથી લોકો ટેલિવિઝન જોઈ શકે. English: A living room is arranged so people can watch the television. A: Yes **** Q: Gujarati: એક ખાલી બસ ઘણી દિશાઓમાં સામનો કરી રહેલી બેઠકો ધરાવે છે. English: The bench at the tree offers a respite and a scenic autumnal view of a grand valley A: No **** Q: Gujarati: તેના પર સુશોભનવાળી એક પ્લેટ પર કેકનો ટુકડો છે. English: There is a piece of cake on a plate with decorations on it. A:
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Given the task definition, example input & output, solve the new input case. In this task, you're given five sentences, numbered 1 through 5. Your job is to generate a title for the story that makes complete sense. The title must be short, with less than three words, use simple language, and include the main topic of the story. Example: Sentence 1: Marcus needed clothing for a business casual event. Sentence 2: All of his clothes were either too formal or too casual. Sentence 3: He decided to buy a pair of khakis. Sentence 4: The pair he bought fit him perfectly. Sentence 5: Marcus was happy to have the right clothes for the event. Output: Marcus Buys Khakis Marcus's reasons for buying khakis is established, followed by his purchase of them and reaction. New input case for you: Sentence 1: Stacy was a single woman and was feeling lonely. Sentence 2: She bought a new house and started to plant her roots. Sentence 3: She wanted a family one day. Sentence 4: Because she was single she started to consider being a foster parent. Sentence 5: She took the classes and quickly got new kids. Output:
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Q: In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/existing words removed. Your sentence should be grammatically and syntactically correct. Also stick to the context of the given story. For example, if the story talks about "doctors", you can talk about "health" or "diagnosis", but don't mention "aliens". Avoid introducing any extra/irrelevant information, and use names instead of pronouns (e.g. he / she) wherever possible. Avoid simply negating the original middle, for example: "She likes cakes." is changed to "She doesn't like cakes." Beginning: Everyday, Dan would brave icy roads on his way to work. Middle: Dan saw a truck speeding on the icy road. Ending: Two miles later, And saw the truck stopped by the highway patrol. A:
[ 0.4504619538784027, 0.09732435643672943, 0.3657075762748718, -0.179269939661026, -0.09679251909255981, -0.18978741765022278, -0.03420417755842209, 0.6572302579879761, -0.10475602000951767, -0.19407574832439423, -0.36946815252304077, 0.006498375907540321, -0.09339950233697891, -0.3939490020...
Part 1. Definition In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words. Part 2. Example We propose a local coherence model based on a convolutional neural network that operates over the entity grid representation of a text. The model captures long range entity transitions along with entity-specific features without loosing generalization, thanks to the power of distributed representation. We present a pairwise ranking method to train the model in an end-to-end fashion on a task and learn task-specific high level features. Our evaluation on three different coherence assessment tasks demonstrates that our model achieves state of the art results outperforming existing models by a good margin. Answer: A Neural Local Coherence Model Explanation: This statement "A Neural Local Coherence Model" is taken from the subtext "convolutional neural network" and its explanation in the passage. This is a positive example because the title belongs to the mentions in the passage Part 3. Exercise This paper presents an investigation of the entropy of the Telugu script. Since this script is syllabic, and not alphabetic, the computation of entropy is somewhat complicated. Answer:
[ -0.5640257596969604, 0.5509262084960938, 0.5898619890213013, 0.26932036876678467, 0.3102191984653473, -0.6157669425010681, 0.8182742595672607, 0.664704442024231, 0.3460697531700134, 0.2852932810783386, -0.21719977259635925, -0.25429821014404297, -0.903051495552063, -0.18139509856700897, ...
In this task, positions of two consecutive words have been swapped. You need to output the position of the swaped words. e.g. in the sentence 'Seattle has nice a weather', the word 'a' and 'nice' have been swapped. These words are at 3rd and 4th position respectively. So, the output should be (3, 4). Note that the index of first word is 1. [Q]: man A who is sitting down reading something [A]: (1, 2) [Q]: A baby furry zebra in captivity with several adult zebras [A]: (2, 3) [Q]: An empty is blender sitting on the counter top [A]:
[ -0.3091256618499756, 0.8097842931747437, -0.2544953227043152, -0.9891300201416016, -0.06372639536857605, 0.07714639604091644, 0.6642845869064331, 0.27850577235221863, 0.30377197265625, -0.41762614250183105, -0.1319154053926468, -0.43936285376548767, -0.24830162525177002, 0.1160964369773864...
You will be given a definition of a task first, then some input of the task. A text is given in Malayalam. Translate it from the Malayalam language to the Panjabi language. The translation must not omit or add information to the original sentence. സ്‌കില്‍ ഇന്ത്യ Output:
[ -0.5604413747787476, 1.0714267492294312, -0.13564589619636536, -0.5236378312110901, -0.1122344583272934, 0.03312477469444275, 0.9710568189620972, -0.045872338116168976, -0.19657191634178162, 0.09843501448631287, -0.16751910746097565, 0.12283169478178024, -0.810287594795227, 0.4675135612487...
Definition: You are given a sentence in English. Your job is to translate the English sentence into Persian. Input: Remove the interfaces, the middle offices — all these complicated coordination structures. Output:
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You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi. Ex Input: Quindi per capire perché succede questo, abbiamo preso i nostri dati e li abbiamo inseriti in una diagramma di ordinamento, ossia una mappa statistica che da 'informazioni sui legami esistenti tra le comunità microbiche nei diversi campioni. Ex Output: بنابراین برای درک اینکه چرا مساله اينگونه است ، ما داده ‌ های خود را در نمودار خوشه ‌ ای قرار دادیم ، که يك نقشه آماری است اين نقشه به شما درباره اینکه جوامع میکروبی نمونه ‌ های مختلف تاچه حد با هم مرتبط هستند ، می گوید. Ex Input: Si compone il messaggio. Si invia lo stesso messaggio a tutti. Ex Output: پیام را دسته بندی کن. یک پیام را به همه بفرست. Ex Input: Le loro tracce sono sbiadite. Ex Output:
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TASK DEFINITION: In this task, you are given inputs i and A, where i is an integer and A is a list. You need to output the first i elements of A, starting with the 1st element in A. i will always have a value less than the length of A PROBLEM: 7, ['w', 'R', 'Y', '2347', '9807', 'j', 'l', 'Q', 's', '2295', 'o', '3629', 'r', '5511', 'B', '5959', 'z', 'D', 'N', '6757', 'c', '9085', 'L', 'e'] SOLUTION: w, R, Y, 2347, 9807, j, l PROBLEM: 4, ['i', '6089', '1947', '1825', '4171', '8537', 'J', '313'] SOLUTION: i, 6089, 1947, 1825 PROBLEM: 7, ['1899', '4223', 'V', 'V', 'q', 'C', '5307', '1027', 'J', '8693', 'U', '9385', '513', '8135', '2727', '7939'] SOLUTION:
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In this task, you will be presented with a question in Dutch language, and you have to write the person names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Phrase used for the person name - PER. There can be instances with no person name entity, then return 'None'. Q: Pluimvee werd enkel voor lokale consumptie geproduceerd . A: None **** Q: Dat systeem hebben wij geperfectioneerd door alles digitaal op te meten en om te zetten . A: None **** Q: Dat kunnen we en dan ligt de weg naar de finale open . A:
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In this task, you are given a sentence in English, and your task is to translate it into Persian. It is ironic, then, that it it is precisely with regards to the fear of the other and conspiracy theories that Sema Kaygusuz, a Turkish writer , sees similarities between Turkish and American societies: جالب این‌جاست که، سماع کیگوسوز، نویسنده ترک، دقیقا با توجه به ترس‌ از تئوری توطئه و دیگر نظریه‌ها، شباهت‌هایی بین جامعه ترک و جامعه آمریکایی می‌بیند: 6 Use your nose to breathe instead of your mouth ۶. به جای دهان، با بینی تنفس کنید. @NadiaE: Nice to wake up this morning to the news of #Obama's win.
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Given a sentence in the Japanese, provide an equivalent translation in Thai that retains the same meaning through the translation. In translation, keep numbers as it is. FilipVujanovic大統領と首相であるMiloDjukanovicも現場へ急行した。 ประธานาธิบดี Filip Vujanovic และนายกรัฐมนตรี Milo Djukanovic ได้รีบเดินทางไปยังที่เกิดเหตุเช่นกัน 大部分はワン・チェンミン、マイク・ムッシーナ、カール・パバーノ、ジェフ・カーステンスといったピッチャーが故障したおかげで、ヤンキースは現在ちょうど10-14となっている。 Yankees ตอนนี้มีเพียง 10-14 ต้องขอบคุณอาการบาดเจ็บที่ทำให้เกิดเหล่าพิชเชอร์ Chien-Ming Wang, Mike Mussina, Carl Pavano และ Jeff Karstensขึ้น 香港で彫刻2体が押収、民主主義賛成の活動家13人が逮捕され、評論家はそれを「政治的な意図の」検閲だと表現している。
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Definition: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Farsi. Input: بقدر ما كان يوسّعهم ، كان يفعل ذلك بطريقة غير متجانسة ، والذي دعاها للإعتقاد بأن هذا قد يعني أن هناك نوعًا ما من الأورام. Output:
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Detailed Instructions: In this task, you will be presented with a question and you have to answer the question based on your knowledge. Your answers should be as short as possible. Q: How many events were held in a sport that was held at the lake located in Midori-ku ? A:
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Q: You will be given a passage, and your task is to generate a Yes/No question that is answerable based on the given passage. The Commonwealth government has its own tax laws and Puerto Ricans are also required to pay most US federal taxes, with the major exception being that most residents do not have to pay the federal personal income tax. In 2009, Puerto Rico paid $3.742 billion into the US Treasury. Residents of Puerto Rico pay into Social Security, and are thus eligible for Social Security benefits upon retirement. However, they are excluded from the Supplemental Security Income. A:
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Classify the given a piece of financial news into three classes: positive, negative, and neutral. Output must be 'positive', 'negative', or 'neutral'. -------- Question: UPM-Kymmene Corp. , the world 's largest maker of magazine paper , on Tuesday reported a 19-percent profit drop as lower paper prices , higher costs and a strong euro hurt revenue . Answer: negative Question: Operating profit rose to EUR 13.5 mn from EUR 9.7 mn in the corresponding period in 2006 . Answer: positive Question: Orion 's net profit for the third quarter of 2007 decreased to 36.5 mln euro ( $ 52.1 mln ) from 40.3 mln euro ( $ 57.5 mln ) a year earlier . Answer:
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Q: In this task, you're given an open-domain question. Your task is to provide an answer to the given question. There is only one unique answer for each question. Your answer should be short, and refer to an entity, date, number, etc. Do not put your answer in the context of a sentence. Who sings she's in love with the boy? A:
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Given a sentence in the Lao, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is. Example input: ອິຕາລີໄດ້ເສຍໃຫ້ປ໊ອກຕຸຍການ 31 ຕໍ່ 5 ໃນພູລ C ຂອງ ການແຂ່ງຂັນຣັກບີ້ລະດັບໂລກປີ 2007 ທີ່ ປາກເດແພຣັງ ປາຣີ ປະເທດຝຣັ່ງ. Example output: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。 Example explanation: The Lao sentence is correctly converted into Japanese because the converted sentence holds the message that Italy defeated Portugal 31–5 in Pool C of the 2007 Rugby World Cup at the Parc des Princes in Paris, France. Also, translated sentence preserves the numbers as it is. Q: ຄົນຂັບລົົດໄຟໄດ້ຖືກຈັບຍ້ອນຄວາມປະໝາດທີ່ໜ້າສົງໄສ. A:
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Given the task definition, example input & output, solve the new input case. In this task, you are given inputs i, j, and A, where i and j are integers and A is a list. You need to find all elements of A from the ith element to the jth element, reverse the order in which they occur, and then concatenate them to output the resultant string. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j. Perform the operations in order, i.e., do not concatenate the elements and then reverse the string. Example: 1, 3, ['238', 'h', '92', 'U', '2799'] Output: 92h238 Here, concatenating all the elements between the 1st element and 3rd element in reverse order gives '92h238'. New input case for you: 4, 7, ['5411', '8309', 'T', 'a', 'U', '6049', '9665'] Output:
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Teacher: In this task, you need to answer the given multiple-choice question on the gain. Gain is the value by which to multiply the input. Classify your answers into 'a', 'b', 'c', 'd', and 'e'. Teacher: Now, understand the problem? If you are still confused, see the following example: Problem: on a sum of money , the simple interest for 2 years is rs . 330 , while the compound interest is rs . 340 , the rate of interest being the same in both the cases . the rate of interest is Options: a ) 15 % , b ) 14.25 % , c ) 6.06 % , d ) 10.5 % , e ) 11.5 % Solution: c Reason: "explanation : the difference between compound interest and simple interest on rs . p for 2 years at r % per annum = ( r ã — si ) / ( 2 ã — 100 ) difference between the compound interest and simple interest = 340 - 330 = 10 ( r ã — si ) / ( 2 ã — 100 ) = 10 ( r ã — 330 ) / ( 2 ã — 100 ) = 10 r = 6.06 % answer : option c" Now, solve this instance: Problem: the marked price of a book is 20 % more than the cost price . after the book is sold , the vendor realizes that he had wrongly raised the cost price by a margin of 25 % . if the marked price of the book is rs . 30 , what is the original cost price of the book ? Options: a ) rs . 30 , b ) rs . 25 , c ) rs . 45 , d ) rs . 20 , e ) rs . 10 Student:
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In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions. Input: Consider Input: FarsNet [20] [21] is the first WordNet for Persian, developed by the NLP Lab at Shahid Beheshti University and it follows the same structure as the original WordNet. Output: What is the WordNet counterpart for Persian? Input: Consider Input: As mentioned in subsec:datasets, all the word-similarity datasets contain pairs of words annotated with similarity or relatedness scores, although this difference is not always explicit. Below we provide some details for each. MEN contains 3000 annotated word pairs with integer scores ranging from 0 to 50. Words correspond to image labels appearing in the ESP-Game and MIRFLICKR-1M image datasets. MTurk287 contains 287 annotated pairs with scores ranging from 1.0 to 5.0. It was created from words appearing in both DBpedia and in news articles from The New York Times. MTurk771 contains 771 annotated pairs with scores ranging from 1.0 to 5.0, with words having synonymy, holonymy or meronymy relationships sampled from WordNet BIBREF56 . RG contains 65 annotated pairs with scores ranging from 0.0 to 4.0 representing “similarity of meaning”. RW contains 2034 pairs of words annotated with similarity scores in a scale from 0 to 10. The words included in this dataset were obtained from Wikipedia based on their frequency, and later filtered depending on their WordNet synsets, including synonymy, hyperonymy, hyponymy, holonymy and meronymy. This dataset was created with the purpose of testing how well models can represent rare and complex words. SimLex999 contains 999 word pairs annotated with similarity scores ranging from 0 to 10. In this case the authors explicitly considered similarity and not relatedness, addressing the shortcomings of datasets that do not, such as MEN and WS353. Words include nouns, adjectives and verbs. SimVerb3500 contains 3500 verb pairs annotated with similarity scores ranging from 0 to 10. Verbs were obtained from the USF free association database BIBREF66 , and VerbNet BIBREF63 . This dataset was created to address the lack of representativity of verbs in SimLex999, and the fact that, at the time of creation, the best performing models had already surpassed inter-annotator agreement in verb similarity evaluation resources. Like SimLex999, this dataset also explicitly considers similarity as opposed to relatedness. WS353 contains 353 word pairs annotated with similarity scores from 0 to 10. WS353R is a subset of WS353 containing 252 word pairs annotated with relatedness scores. This dataset was created by asking humans to classify each WS353 word pair into one of the following classes: synonyms, antonyms, identical, hyperonym-hyponym, hyponym-hyperonym, holonym-meronym, meronym-holonym, and none-of-the-above. These annotations were later used to group the pairs into: similar pairs (synonyms, antonyms, identical, hyperonym-hyponym, and hyponym-hyperonym), related pairs (holonym-meronym, meronym-holonym, and none-of-the-above with a human similarity score greater than 5), and unrelated pairs (classified as none-of-the-above with a similarity score less than or equal to 5). This dataset is composed by the union of related and unrelated pairs. WS353S is another subset of WS353 containing 203 word pairs annotated with similarity scores. This dataset is composed by the union of similar and unrelated pairs, as described previously. Output: Which similarity datasets do they use? Input: Consider Input: For instance, we observed that winter words were together and far away from summer ones. Week days were grouped as well and far from week-end days.
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Given the task definition and input, reply with output. In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write the required POS tag answering the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposition or subordinating conjunction, JJ: Adjective, JJR: Adjective, comparative, JJS: Adjective, superlative, LS: List item marker, MD: Modal, NN: Noun, singular or mass, NNS: Noun, plural, NNP: Proper noun, singular, NNPS: Proper noun, plural, PDT: Predeterminer, POS: Possessive ending, PRP: Personal pronoun, PRP$: Possessive pronoun, RB: Adverb, RBR: Adverb, comparative, RBS: Adverb, superlative, RP: Particle, SYM: Symbol, TO: to, UH: Interjection, VB: Verb, base form, VBD: Verb, past tense, VBG: Verb, gerund or present participle, VBN: Verb, past participle, VBP: Verb, non-3rd person singular present, VBZ: Verb, 3rd person singular present, WDT: Wh-determiner, WP: Wh-pronoun, WP$: Possessive wh-pronoun, WRB: Wh-adverb What is the part-of-speech tag of the word "Olympics" in the following question: What is the honzon of the temple that is currently undergoing restoration works in preparation for the 2020 Olympics ?
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Given a paragraph about movies and a set of conversational questions and answers about the paragraph, say whether the passage contains sufficient information to answer the follow-up question. Say Yes if it is answerable; otherwise, say No. The paragraph has the prefix 'CONTEXT:'. Each conversation question has a prefix `Q:` followed by the answer prefix `A:`, and the follow-up question has a prefix `FOLLOWUP_Q:`. Input: Consider Input: CONTEXT: The point of the scene was to show that she has the power to command others when she makes physical contact and that Wolverine doesn't know she has powers. She denies having power because she doesn't want him to know. She's trying to manipulate him for Stryker and Sabretooth so if Wolverine found out it would ruin the plan. EDIT: modified answer to remove mention of Wolverine being immune to Kayla's powers since it's unclear whether he is immune or not. <sep> Q: What was the point of the bridge scene? A: The point of the scene was to show that she has the power to command others <sep> FOLLOWUP_Q: Where did she get this power? Output: No Input: Consider Input: CONTEXT: He's talking about the stress of the job. It's a common "joke" (though not really funny when you consider recent suicide rates) that is based on either suicide or stress. "I'm not sure what's going to kill me first, the stress from these people or the stress from this job" "I'm not sure what's going to make me kill myself first, dealing with these people or dealing with this job" Sam is essentially saying, "I always knew somehow this train would be the death of me." It's not really clear whether he was saying it in jest or if he truly believed it, but that's essentially what that quote means. <sep> Q: What is the meaning of Sam's words? Output: Yes Input: Consider Input: CONTEXT: It may be the case that the demon is cunning and wanted to make a doubt in the mind of Karras, already having a lack of faith in demons and ghosts. As we have seen that demon plays with Karras' emotions related to his mother too. The demon reads on mind and emotions so it's not possible that he got fooled by tap water at all. <sep> Q: Why does the demon that possesses Regan react to the “fake” holy water?
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In this task, you are given the abstract of a research paper. Your task is to generate a summary of this abstract. Your summary should not be very short, but it's better if it's not more than 30 words. Example: Mixed precision training (MPT) is becoming a practical technique to improve the speed and energy efficiency of training deep neural networks by leveraging the fast hardware support for IEEE half-precision floating point that is available in existing GPUs. MPT is typically used in combination with a technique called loss scaling, that works by scaling up the loss value up before the start of backpropagation in order to minimize the impact of numerical underflow on training. Unfortunately, existing methods make this loss scale value a hyperparameter that needs to be tuned per-model, and a single scale cannot be adapted to different layers at different training stages. We introduce a loss scaling-based training method called adaptive loss scaling that makes MPT easier and more practical to use, by removing the need to tune a model-specific loss scale hyperparameter. We achieve this by introducing layer-wise loss scale values which are automatically computed during training to deal with underflow more effectively than existing methods. We present experimental results on a variety of networks and tasks that show our approach can shorten the time to convergence and improve accuracy, compared with using the existing state-of-the-art MPT and single-precision floating point. Example solution: We devise adaptive loss scaling to improve mixed precision training that surpass the state-of-the-art results. Example explanation: The abstract focusses on designing an adaptive loss scaling method, hence the generated output is correct. Problem: Deep reinforcement learning algorithms require large amounts of experience to learn an individual task. While in principle meta-reinforcement learning (meta-RL) algorithms enable agents to learn new skills from small amounts of experience, several major challenges preclude their practicality. Current methods rely heavily on on-policy experience, limiting their sample efficiency. They also lack mechanisms to reason about task uncertainty when adapting to new tasks, limiting their effectiveness in sparse reward problems. In this paper, we address these challenges by developing an off-policy meta-RL algorithm that disentangles task inference and control. In our approach, we perform online probabilistic filtering of latent task variables to infer how to solve a new task from small amounts of experience. This probabilistic interpretation enables posterior sampling for structured and efficient exploration. We demonstrate how to integrate these task variables with off-policy RL algorithms to achieve both meta-training and adaptation efficiency. Our method outperforms prior algorithms in sample efficiency by 20-100X as well as in asymptotic performance on several meta-RL benchmarks.
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Q: In this task, you're given two sentences. Indicate if the first sentence clearly entails the second sentence (i.e., one can conclude the 2nd sentence by reading the 1st one). Indicate your answer with '1' if the first sentence entails the second sentence, otherwise answer with '0'. Sentence 1: In 1997, insurance companies paid out $51.6 billion for prescription drugs. Sentence 2: Insurance companies cover prescription drugs. A:
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You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task. You are given a sentence in English. Your job is to translate the English sentence into Persian. In the southwestern part of Nigeria, the plant is known as Gbe'borun. Solution: در جنوب غرب نیجریه ، این گیاه به عنوان Gbe 'borun شناخته می ‌ شود. Why? The English sentence is correctly translated into Farsi, because the meaning is preserved. New input: We're even doing this on purpose. Solution:
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Definition: In this task you will be given a list of numbers and you should remove all duplicates in the list. If every number is repeated in the list an empty list should be returned. Your list should be numbers inside brackets, just like the given list. Input: [1, 3, 2, 4, 7] Output:
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You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic. Q: Szukałem najbardziej oddalonych miejsc. A: ورأيت أماكن بعيدة جداً. **** Q: Ludzie po prostu przenieśli proceder prania brudnych pieniędzy ze Stanów Zjednoczonych do Europy. A: ببساطة أخذت الناس أنشطة غسيل أموالهم بعيداً عن الولايات المتحدة إلي أوربا. **** Q: To możliwe. Przy dzisiejszej technologii możemy oszczędzić 30 do 50 procent energii w krajach Europy, a źródła odnawialne mogą zastąpić połowę produkowanej energii. A:
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In this task, you are given an input list A. You need to find all the elements of the list that are alphabets in the same order as they appear in the list A. Do not change their case/capitalization. Input: Consider Input: ['a', '1959', '7827', '1603', 'P', '8815', '9151', '2017', '9871', 'L', 'w', '1673', '3403', '639', 'I', '8137', '5855', 'C', 'D', 'X', '8011', '3437', 'd', '151', '215', '3029', '8939'] Output: a, P, L, w, I, C, D, X, d Input: Consider Input: ['g', '1231', 'k', '2461', '9535', '635', '1525', 'u', 'd'] Output: g, k, u, d Input: Consider Input: ['3943', 'Y', '2597', '3697', '8587', 'V', '5789', 'K', '257', '2661', 'Y', 'd', '7195', '3641', '7143', '2597', '2137', 'E', 'I']
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instruction: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese. question: Este es un tubo inorgánico. answer: Este é um tubo inorgânico. question: Pero entonces se ve que la línea que comienza a ascender, answer: Mas depois vê-se essa linha a começar a subir. question: Su ensayo se volvería viral, se traduciría a varios idiomas, se debatiría en bares, cafeterías, salones de belleza, y en cenas; e influenciaría a líderes, legisladores y a la opinión popular. answer:
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Detailed Instructions: 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]. Q: Verify if the sentiment of the following document towards the entity Ty Dolla is Negative . Ty Dolla $ ign and YG unveiled a vibrant new video for " Ex " their collaboration from the R & B star ' s 2017 album Beach House 3 . " Ex " boasts a throwback Nineties beat based around a sample of 112 ' s " Only You " featuring the Notorious B . I . G . The David Camarena - directed clip fittingly finds Ty Dolla $ ign and YG sauntering through lively party scenes and driving lowriders outfitted with hydraulics . Ty Dolla $ ign will embark on a North American trek in support of Beach House 3 this winter . The Don ' t Judge Me Tour kicks off February 21st in Santa Ana California and wraps April 12th in Los Angeles . Throughout the tour Ty will receive support from TC Da Loc and Dre Sinatra while 24hrs Marc E . Bassy and Toni Romiti will appear as special guests during different stretches . In an interview with Rolling Stone Ty Dolla $ ign spoke about growing as a singer and trying to revive R & B with Beach House 3 . " Remember when R & B used to be on the Hot 100 ? It just stopped " he said . " I felt like I had to dumb myself down a lot . I know a lot of people feel like that . There ' s a lot of people out there that can really sing but you don ' t really hear them … With this project I sung my ass off . But it ' s still gonna be a mainstream vibe . That ' s all I ' m trying to do : Make a lane for the singers ." A:
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Part 1. Definition You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic. Part 2. Example 地球が今よりも無垢だった時代を訪れたかのようでした Answer: كان الأمر كزيارة أكثر عصور البراءة على كوكب الأرض Explanation: The Japanese sentence is correctly translated into Arabic, because the meaning is preserved. Part 3. Exercise そして釈放されました Answer:
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In this task, you will be presented with a text and a pronoun. You should write an implausible answer to the question of what is the pronoun's reference. Even though there exist multiple wrong answers, we only need a single wrong answer. Position of the pronoun in the text is showed within two "_"s. Example Input: One day before the battle, the astronomer- eunuch Pu Wenying came to see Bao Daoyi, warning him that he noticed an unlucky omen in the skies and urging Bao not to go to war. Bao Daoyi is furious after hearing Pu Wenying's words and _he_slices Pu into two with his sword in anger. <sep>, Pronoun: he Example Output: Pu Wenying Example Input: Her mother, Frances Antoinette Johnston, had been a congressional journalist and dramatic critic for the Baltimore Sun and her daughter built on her familiarity with the Washington political scene by becoming official White House photographer for the Harrison, Cleveland, McKinley, ``TR'' Roosevelt, and Taft presidential administrations. Johnston also photographed the famous American heiress and literary salon socialite Natalie Barney in Paris but perhaps _her_ most famous work, shown here, is her self-portrait of the liberated ``New Woman'', petticoats showing and beer stein in hand. <sep>, Pronoun: her Example Output: Natalie Barney Example Input: Wendlinger recovered from his injuries, but when Sauber granted him an opportunity to drive in 1995 he was relieved of his duties before the Monaco event a year on from the accident, as his performances were disappointing. He was replaced by Jean-Christophe Boullion. Wendlinger came back briefly for Sauber in two Grands Prix at the end of the season, as Boullion also proved uncompetitive in relation to team-mate Heinz-Harald Frentzen. However, this return also proved to be a failure, and the 1995 Japanese and Australian Grands Prix proved to be _his_ Formula One swansong. <sep>, Pronoun: his Example Output:
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You are given a sentence in English. Your job is to translate the English sentence into Portugese. Q: What do you have to replace it? A: O que tem para o substituir? **** Q: Take classical composers, the best of the best. A: Vejam os compositores clássicos, os melhores dos melhores. **** Q: What I found was that most technology kits available in school look a little intimidating. A:
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Detailed Instructions: You are given a short poem which is written by a kid. Your task is to predict if the kid is in elementary school or high school. Anyone who is from grade 1st to 6th-grade will be considered as in elementary school, and 7th to 12th-grade kids will be considered as in high school. There are only two possible outputs, i.e., elementary and high. All inputs have at least one output and it cannot have both categories at a time. Q: i love to skateboard it true i do i would never stop it be so fun to do all the time never stop bust out new trick every week i love to skateboard A:
[ 0.026425279676914215, 0.9049171209335327, 0.2738208770751953, -0.15240482985973358, -0.12061992287635803, -0.940552830696106, 0.3581639230251312, 0.4330492615699768, 0.5093511343002319, -0.6204777956008911, -0.0359945073723793, 0.5177371501922607, 0.2871989607810974, 0.22171878814697266, ...
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian. Example Input: Pero el mérito sigue siendo el factor fundamental. Example Output: Ma il merito resta il volano fondamentale. Example Input: Entonces, lo que vemos en el siglo 17, 18 es la búsqueda continua de medicamentos más alla del canfor que hicieran el truco. Example Output: Quindi, nel 17-esimo, 18-esimo secolo vediamo una continua ricerca di rimedi diversi dalla canfora che facessero lo stesso effetto. Example Input: Han rodeado la ciudad con una línea. Example Output:
[ -0.37446433305740356, 1.4645326137542725, -0.19996042549610138, -0.6448906660079956, -0.09908273816108704, -0.9119956493377686, 0.24434423446655273, 1.3856475353240967, -0.18175800144672394, -0.4824078679084778, -0.30358240008354187, 0.6941472291946411, -0.5043003559112549, 0.3282412886619...
Given the task definition, example input & output, solve the new input case. In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to return the sum of all the numerical elements in the list A between the positions i and j (including positions i and j). Return 0 if no numerical element is present in the list between the given ranges. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j. Example: 3, 7, ['A', '23', '7413', '6933', '3369', '807', 'M', '456'] Output: 18522 Here, the numbers from 3rd to 7th position are '7413', '6933', '3369', and '807', hence their sum (7413+6933+3369+807) is 18522. New input case for you: 5, 20, ['D', '9583', '7495', 'M', 'v', '9791', '7919', '8603', '3325', 'C', 'S', '2751', '5603', '1173', 'y', '8471', 'w', '7607', '93', 'N', '1965', '179', 'E', 'c', 'j'] Output:
[ -0.09555582702159882, 0.4833833575248718, -0.6625363826751709, -0.6797741651535034, 0.045872509479522705, 0.12035910785198212, 0.06491398811340332, 0.5415784120559692, -0.46702656149864197, -0.2871760129928589, -0.753229022026062, 0.2461971938610077, 0.3446944057941437, -0.5227146148681641...
Given an abstract, indicate which of the provided candidate titles (Option1 and Option2) best describes it (respond with the text of the title, not option1/2). Input: Consider Input: Abstract: In an effort to determine whether life in industrialized societies can have an effect on hearing, 90 natives from Easter Island over 45 years old were evaluated. They underwent complete clinical and audiological assessment and were divided into groups according to those having lived only on the island or those having lived in modern civilization. With all factors being equal, except exposure to modern civilization, our results showed that living in civilized societies has a significant negative effect on hearing; the severity is directly proportional to the years of exposure. The median hearing thresholds of natives always living on the island (men and women combined) was found to be similar to those of female citizens of the United States; there was no significant difference in hearing thresholds between men and women among these natives. These results suggest that there are no significant inherent racial differences nor significant inherent differences between males and females in the sensitivity of hearing. A relationship between aging and hearing was noted and interpreted as true or intrinsic presbycusis. There were no cases of otosclerosis, Meniere's disease, or exostoses of the external ear canal among natives who had always lived on the island. Pure natives were found not to be prone to otitis media in spite of having an extremely high incidence of severe upper respiratory tract allergies. Which is the apt title for the abstract? option1: Effect of life in industrialized societies on hearing in natives of Easter Island. option2: Experience with the Amplatz retrievable vena caval filter. Work in progress. Output: Effect of life in industrialized societies on hearing in natives of Easter Island. Input: Consider Input: Abstract: Available facial tissue thickness standards for facial feature reconstruction are based on adult measurements. Mid-facial tissue thicknesses for male and female white adolescents are presented here. Measurements were taken from lateral radiographs produced in an orthodontic practice. Statistical analysis indicates that age, sex, and to some extent, dental occlusion pattern are factors that should be taken into account when attempting facial feature reconstructions. Which is the apt title for the abstract? option1: Mid-facial tissue depths of white children: an aid in facial feature reconstruction. option2: Models of spinal cord injury: Part 1. Static load technique. Output: Mid-facial tissue depths of white children: an aid in facial feature reconstruction. Input: Consider Input: Abstract: Thermal injuries lead to changes in both the cell-mediated and humoral responses of the patient. This study was undertaken to assess these responses in the post-burn period and also to see if bacterial infection altered these responses. It has been concluded that alterations in the cell-mediated and humoral immune responses following thermal injuries are altered by infection and consequently are also important in the healing process. Which is the apt title for the abstract? option1: Evaluation of E and EAC rosette-forming cells in patients with thermal injuries. option2: Efforts by the United States to coordinate the prevention of occupational allergic diseases in the workplace.
[ 0.8791376948356628, 0.36268946528434753, -0.1075272336602211, 0.018571723252534866, 0.6924806833267212, -0.5635751485824585, 0.5427215099334717, 0.44532909989356995, 0.2591821849346161, 0.20317547023296356, 0.24175617098808289, 0.16331732273101807, -0.21129006147384644, -0.3173409402370453...
Definition: This task is about translating a given Spanish language sentence to English. Input: ¿Tiene tuberculosis? Output:
[ 0.016063658520579338, 0.3462657630443573, -0.1882208287715912, -0.10310188680887222, -0.16889286041259766, -0.010626680217683315, 0.14624160528182983, 0.5358263254165649, 0.6636582612991333, 0.10477226972579956, -0.22286152839660645, 0.3393891453742981, 0.12107232958078384, 0.2308010756969...
In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned. Zero should be counted as an even number. Example: [3, 0, 3, 8] Example solution: [3, 3] Example explanation: Zero and eight are removed from the input list because they are even numbers, and because three appeared twice in the input list, it appears twice in the output list. So this is a good example. Problem: [190, 50, 49]
[ -0.1668478399515152, 0.24641793966293335, -0.6060162782669067, -0.5625185966491699, 0.43044331669807434, -0.31768277287483215, 1.1002346277236938, 0.37467503547668457, -0.4857650101184845, 0.23753242194652557, -0.7721216678619385, 0.33269327878952026, -0.2786358892917633, -0.75991094112396...
Instructions: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: personal or non-personal depending on the topic. Input: পাগলির চোদার অভাব আছে মনে হয় Output:
[ -0.5157856941223145, 0.04710448160767555, -0.15187959372997284, 0.3398752808570862, -0.4532700777053833, -0.4328579008579254, 0.46736615896224976, 0.09094047546386719, -0.08853430300951004, -0.2777595520019531, -0.9363220930099487, -0.27450209856033325, -0.34286805987358093, -0.36858063936...
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task. In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether it is plausible for the Head to desire the Tail or not. In this task, desire means desires of sentient entities. For example, doctors likely desire to cure a patient. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action. Head: person<sep>Tail: complaints to addressed Solution: Yes Why? This is a good example. The Head desires the Tail. New input: Head: PersonX accepts PersonY offer<sep>Tail: to try and counter offer Solution:
[ 0.015310811810195446, 0.16959908604621887, 0.27108755707740784, -0.1539185792207718, -0.3195756673812866, -0.832406759262085, 1.310064435005188, 0.4802704453468323, -0.5625990033149719, -0.08434184640645981, -0.44289958477020264, -0.4009838104248047, -0.5030710697174072, 0.1992137432098388...
Given the task definition, example input & output, solve the new input case. In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content. Example: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo is actually funny! Maureen Stapleton is a scene stealer. The Moroni character is an absolute scream. Watch for Alan The Skipper Hale jr. as a police Sgt. Output: positive There is an expression of appreciation in this movie review, hence we can say it's positive. New input case for you: I believe Shakespeare explained what I just read beautifully. Me thinks he (the lady) doth protest too much. The whole thing sounded to me as if the author was trying to convince himself! He sites profane literature (writings from the same time period but not connected with the bible) a number of times however I can think of at least three references off the top of my head which lend historical accuracy to events contained in the bible. Anyone can skew data & prove anything they like but it doesn't make it true. Customs change, word definitions change over time (look at English & German where it is very obviously a common root) nothing stays the same, it's always growing and changing. The bible has many different translations but the King James version is the one I've found to be the best when it comes to any kind of research. In the King James version you will notice there are certain words written in italics. These words have been added by the translators and can be dropped & the mean of the entire verse changes. Writings from around the time of Christ were written without spaces, without punctuation, without paragraphs & without numeric verses. These writings look like one long word & the translators added all of the above. For example how would you read this: GODISNOWHERE do you read it as God is nowhere or do you read it as God is now here? Same string of letters two entirely different meanings. This is why many biblical researchers use a 'Lexicon' to assist them in translation as it provides a word for word translation from the original Arabic, Greek or Hebrew depending on the language in which the scripture was originally written. It's also interesting to note that when translated into symbolic logic you can prove God exists but you can not prove He doesn't exist! In the end I just love listening to people who think they are so smart that they are qualified to judge the almighty. Talk about ego! Putting soapbox away, God Bless Maegi Output:
[ 0.2601507306098938, 0.2517262101173401, -0.52783203125, 0.7505770921707153, 0.9015219211578369, -0.751889705657959, 0.7997941970825195, 1.2127447128295898, 0.3993356227874756, 0.25888073444366455, -0.48864200711250305, 0.3912010192871094, -0.49774977564811707, -0.3208933472633362, -0.068...
Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact. Let me give you an example: Tagalog sentence: Si Roger Federer ang unang manlalaro na nanalo ng 20 Grand Slams The answer to this example can be: Roger Federer was the first player to win 20 Grand Slams Here is why: The output is an exact translation of the Tagalog sentence and its meaning remains the same. OK. solve this: Tagalog sentence: Nagbibigay ang Bibliya ng pinakamagandang mga payo sa pinakamahirap na mga tanong sa buhay. Subók na ng panahon ang mga payo nito. Sa seksiyong ito, makikita mo kung gaano kapraktikal ang Bibliya.—2 Timoteo 3:16, 17. Answer:
[ 0.14611835777759552, 0.35812580585479736, -0.7941324710845947, 0.26449209451675415, 0.5508617162704468, -0.6338859796524048, 0.6033779978752136, 0.41320112347602844, 0.29949936270713806, 0.15178856253623962, -0.3969630300998688, 1.1177057027816772, -1.358015537261963, -0.3919835388660431, ...
Given the task definition and input, reply with output. Given a sentence in the Indonesian(Bahasa variant), provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is. Itu semua terjadi sangat cepat, tapi tim penyelamat berhasil membawa dia keluar dan dia ditutupi lapisan debu dan beton, kata Jonah Hull, seorang koresponden untuk Al Jazeera, menggambarkan upaya penyelamatan tersebut sebagai "proses rumit."
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In this task you will be given a list of dictionaries. A dictionary is a set of key-value pairs, where each key is unique and has a value associated with that key. You should sort the list of dictionaries from smallest to largest by their 'first' key. If there is two dictionaries with the same 'first' value then sort them by their 'second' key. Negative numbers should come before positive numbers. [{'first': -14, 'second': -91}, {'first': 40, 'second': -81}, {'first': 73, 'second': 25}, {'first': 10, 'second': -70}, {'first': 72, 'second': -7}, {'first': -6, 'second': 52}, {'first': -26, 'second': 100}, {'first': -97, 'second': 98}, {'first': 17, 'second': 14}, {'first': -78, 'second': -48}]
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You will be given a definition of a task first, then some input of the task. In this task, you are given a question and answer options for that question. Using this information, you have to classify each text into different topics: medicine, nursery, psychology, chemistry, pharmacology, biology. Question: It is NOT considered a tertiary prevention intervention in a situation of mistreatment of women: Options: <0> Perform a periodic and systematic assessment of the indicators of abuse risk. <1> Perform a comprehensive physical assessment (injuries produced), psychological (emotional state) and social (social support networks). <2> If there is an immediate life risk, an urgent transfer to the hospital or to the guardhouse will be necessary. <3> Contact and inform the pediatrician if the woman has children, both because of the potential risk (when witnessing the abuse) and the possibility of being victims of it. <4> Inform of the legal steps. Output:
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Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian. Input: الانتقام ، أو تعبير الكراهية اتجاه أولئك الذين ارتكبوا المظلُمات قد يبدو كغريزة بشرية في وجه الخطأ ، لكننا محتاجون لكسر هذه الدورات إن كنا نأمل في تحويل الأحداث السلبية الظالمة إلى تغييرات اجتماعية إيجابية. Output:
[ -0.5585470199584961, 0.6315144300460815, -0.22828000783920288, -0.4627096652984619, -0.8798167705535889, -0.5932150483131409, 0.3950774073600769, 0.4006800055503845, -0.13954544067382812, -0.006881114561110735, -0.7067481279373169, 0.5810008645057678, -1.266801357269287, 0.5358045101165771...
Instructions: In this task, you're given a question, a context passage, and four options which are terms from the passage. After reading a passage, you will get a brief understanding of the terms. Your job is to determine by searching and reading further information of which term you can answer the question. Indicate your choice as 'a', 'b', 'c', or 'd'. If you think more than one option is plausible, choose the more probable option to help you answer the question. Input: Question: What is the current enrollment of the school where Cissé studied physics? Passage:Cissé was born in Niamey, Niger. As a child he assumed that he would work in his father's law firm. He became interested in science through Hollywood films. In Niamey there were few opportunities to practise science as his school did not have a laboratory. He was keen to move to America to study, and completed high school two years early. He moved to the United States at the age of 17 to attend college. Cissé studied physics at the North Carolina Central University and graduated in 2004. During his undergraduate degree he was encouraged by Carl Wieman to apply for a fellowship, and spent a summer at Princeton University working in condensed matter physics. During this summer project he looked at jammed disordered packings, investigating how M&M's arrange in a small volume with Paul Chaikin. Cissé used various techniques to study jammed packings, including magnetic resonance imaging, but in the end used a much simpler approach - painting M&M's and analysing how many times they knocked into each other. The result was published in Science. He moved to Urbana for his graduate studies, and earned his PhD under the supervision of single molecule biophysicist Taekjip Ha at the University of Illinois at Urbana–Champaign in 2009. After completing his doctorate, Cissé joined the École Normale Supérieure in Paris. He worked as a Pierre Gilles de Gennes Fellow in the joint labs of a physicist, Maxime Dahan, and a biologist, Xavier Darzacq. He also held a long-term fellowship with the European Molecular Biology Organization. In Paris, Cissé developed the single-cell microscopy technique time-correlated photoactivated localization microscopy (tcPALM), allowing for time resolved measurements in vitro. Cissé used transient-PALM to demonstrated that RNA polymerase II forms clusters that deconstruct after their work is done. Until Cissé made this discovery it was assumed that RNA polymerases were stable. Links: a. École normale supérieure (Paris) b. In vitro c. North Carolina Central University d. North Carolina Central University Output:
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You are given a sentence in Persian. Your job is to translate the Farsi sentence into English. در حالیکه ۳۵ سال داشت. He was 35 years old. اوضاع عوض شد — فقط رفته بودم ببینم تو هنگ کنگ چه جوری کار می کنند. And it turned out that — I just went to see, you know, what they are doing in Hong Kong. و یا آیا WiMax CDMA G3 تا سه سال آینده استاندارد شبکه های بی سیم خواهد شد ؟ جواب این هم مشکل است
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In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element in the reverse order. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j. 2, 6, ['L', '8559', '5163', 'V', '9409', 'Z', '2571', '3601', 'i', 'v', 'q', '327', '559', '885', 'Y', 'Y', 'c', 'o', '5579', '8755'] Z, 9409, V, 5163, 8559 5, 7, ['7083', 'e', 'G', '3673', '207', 'R', '1217', '4285', '8547', '6575', '8177', '7087', '4705', '3893', '4745', 'g', 'o', 'v', '9125', '3543', 'X', '9095', '3311'] 1217, R, 207 3, 15, ['T', '7677', '241', '6087', 'K', '2821', '1901', 'q', 'p', 'e', '1393', 'f', '2867', '1617', 'f', 'G', '5747']
[ -0.3180752098560333, 0.17832747101783752, -0.33875423669815063, -0.07575057446956635, -0.21914196014404297, -0.3542207181453705, 0.6245701313018799, 0.09322739392518997, -0.5556952953338623, 0.09988909959793091, -0.9205437302589417, 0.10595718026161194, -0.10759933292865753, 0.002590537071...
Q: In this task, you are given a paragraph, a question, and a candidate incorrect answer to the question. Your goal is to judge whether the provided answer is a valid incorrect answer to a given question. An incorrect answer should not truthfully answer the given question. A good incorrect answer should be closely related to the content of the paragraph and/or the question so that the readers are forced to read the whole paragraph to infer its [in]correctness. Additionally, an incorrect answer should be of the same semantic type as the given correct answer (e.g., both can be names of locations). If you think the given incorrect answer is good(and incorrect), indicate it by responding "Yes". Otherwise, respond "No". There are only two types of responses possible:"Yes" and "No". Paragraph- Sent 1: The story line of the film is the escapades of a cricket crazy kid , all of eight years and his father , a cop . Sent 2: Antony Simon is a crime branch CI , but prefers to spend his time fooling around with his son Aadi . Sent 3: And being a Crime Branch police officer , his rather laid-back attitude is not appreciated by his peers and superiors . Sent 4: Richa Pallod portrays his wife who finds this irritating . Sent 5: The father-son duo becomes friends with the famous national cricketer Sreesanth when they save him from some street fight . Sent 6: Once while the father-son duo was out for shopping , Adhi saw a man with the gun and screams at his father . Sent 7: Simon turns back and shoots him but he kills the wrong person . Sent 8: Simon now faces murder charges and is suspended from duty . Sent 9: Later that day , Aadhi is found missing . Sent 10: Simon being a cop , the entire police force in the district is in search . Sent 11: They find that the one who was killed by Simon was part of the gang who were trying to get Sreesanth into a match-fixing deal and now they are trying to get revenge on Simon for killing one of their gang members . Sent 12: The rest of the film is how Simon fights the gang and gets his kid back from them . Question: What did Richa Pallod finds irritating? Incorrect Answer: she is irritated that simon's rather laid-back attitude is not appreciated by his peers and superiors . A:
[ 0.809838593006134, 0.4581579566001892, -0.2987174689769745, 0.26074090600013733, -0.014579454436898232, -0.08099967241287231, 0.49037647247314453, 0.3035810589790344, 0.6681665182113647, 0.37188515067100525, -0.8187136650085449, 0.7290816307067871, -1.2317044734954834, -0.11518999934196472...
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'. Input: Passage: Since the late 1970s, the central part of NYU is its Washington Square campus in the heart of Greenwich Village. Despite being public property, and expanding the Fifth Avenue axis into Washington Square Park, the Washington Square Arch is the unofficial symbol of NYU. Until 2008, NYU's commencement ceremony was held in Washington Square Park. However, due to space constraints, ceremonies are now held at the Yankee Stadium. Important facilities at Washington Square are the Elmer Holmes Bobst Library, designed by Philip Johnson and Richard Foster, who also designed several other structures, such as Tisch Hall, Meyer Hall, and the Hagop Kevorkian Center. When designing these buildings Johnson and Foster also set up a master plan for a complete redesign of the NYU Washington Square campus. However, it was never implemented. Other historic buildings include the Silver Center (formerly known as "Main building"); the Brown Building of Science; Judson Hall, which houses the King Juan Carlos I of Spain Center; Vanderbilt Hall, the historic townhouse row on Washington Square North; The Grey Art Gallery at 100 Washington Square East, housing the New York University art collection and featuring museum quality exhibitions; the Kaufman Management Center; and the Torch Club – the NYU dining and club facility for alumni, faculty, and administrators. Just a block south of Washington Square is NYU's Washington Square Village, housing graduate students and junior and senior faculty residences in the Silver Towers, designed by I. M. Pei, where an enlargement of Picasso's sculpture Bust of Sylvette (1934) is displayed. Link Information: In 1889, a large plaster and wood memorial arch was erected over Fifth Avenue just north of Washington Square Park by local businessman and philanthropist William Rhinelander Stewart Question: What was replaced on the property by the Washington Square Arch? Output:
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Definition: In this task, you are given two strings A, B. Find the longest common substring in the strings A and B. Input: AxHvBqnHYSIf, HZfByqnHYSjFo Output:
[ 0.22998759150505066, 0.659324049949646, 0.15340794622898102, -0.5041730403900146, -0.056077275425195694, 0.06154880300164223, 0.4779963791370392, -0.7167474627494812, 0.1321708858013153, -0.5178393125534058, -1.0280985832214355, -0.6111918687820435, -0.3859425485134125, 0.2667715847492218,...
Detailed Instructions: In this task, you are given a sentence from the Bible in Persian, and your task is to translate it into English. Q: فرعون بر غلامان خود غضب نموده، مرا با رئیس خبازان در زندان سردار افواج خاصه، حبس فرمود. A:
[ 0.2411833256483078, 0.5776294469833374, -0.5665756464004517, -0.6647786498069763, -1.0697298049926758, -0.4953051805496216, 0.7082655429840088, 0.5129877924919128, 0.5633330345153809, -0.4205682873725891, -1.1331322193145752, 0.4485795497894287, -1.1697468757629395, 0.16168491542339325, ...
Given the task definition and input, reply with output. You are given a sentence in Persian. Your job is to translate the Farsi sentence into English. شگفت ‌ اورترین چیز در مورد جنسیس این است که او می تواند هر کاری را با زندگیش بکند ، باور کن ، اگر تو طوری بزرگ شوی که به تو بگویند تو به بیماری مرگباری مبتلا هستی ، احتمالا تو به جزیره تاهیتی فرار می کنی و نمیخواهی با کس دیگری برخورد داشته باشی.
[ -0.7453325986862183, 0.8227656483650208, -0.03609509766101837, 0.1164991706609726, -0.9429543614387512, -0.5220690965652466, 0.42262282967567444, 0.019420061260461807, 0.19851097464561462, -0.2910454273223877, -0.569861888885498, 0.8883466720581055, -0.11999690532684326, 0.4658139348030090...
Instructions: In this task, you need to write an incorrect answer to the given question. Along with the question, you are also given the correct answer(s) and the associated paragraph. An incorrect answer should be closely related to the content of the paragraph and/or the question but will not truthfully answer the question. Your incorrect answers should be similar to the given correct answer such that it will pose a challenge for students to distinguish the two. A good incorrect answer should prevent those who skip the paragraph from answering the question. The incorrect answer should not be trivial, in the sense that they should not be easily eliminated without reading the paragraph. Input: Paragraph- Sent 1: Responding to a wave of public dismay over the first designs for rebuilding Lower Manhattan, Gov. George Pataki has sent word that it's time to go back to the drawing board. Sent 2: It is the right message, sent while it is still early enough to do something constructive about the disappointing quality of the work so far. Sent 3: The governor, like Mayor Michael Bloomberg, now seems committed to creating a better mix of uses for ground zero, and a 24-hour community in Manhattan's downtown. Sent 4: While rethinking the plans will delay the original rebuilding schedule slightly, it does not need to stall progress if the governor keeps the pressure on the Lower Manhattan Development Corp. and the Port Authority of New York and New Jersey. Sent 5: New York cannot afford to have a gaping hole that mocks the city and its process for rebuilding what was destroyed. Sent 6: Pataki openly questioned the Port Authority's requirement that any plan for the site replace all the office, hotel and retail square footage lost in the attack on Sept. 11. Sent 7: More than anything else, that specification limited the designs to the undistinguished options presented two weeks ago. Sent 8: Renegotiating that issue with the World Trade Center leaseholders should begin immediately. Sent 9: Opening the process to other designers, both here and internationally, will help separate this urban plan from the ordinary. Sent 10: The city also needs to begin openly discussing what happens underground, in particular with the transportation network. Sent 11: At this point, planners have focused on short-term repair of PATH and subway lines, with medium-range proposals being shopped in Washington that could untangle the disorganized web of subway lines downtown. Sent 12: Within the next few weeks the Lower Manhattan Development Corp. and the Port Authority should offer some bigger ideas about how to connect the downtown area better to the rest of the region. Sent 13: Lowering West Street alongside the World Trade Center site and building a park or esplanade on top is another option that has been popular with those reviewing the first six public proposals. Sent 14: But it would be expensive, and the governor, the mayor and their friends in Washington will have to look at long-range ways to pay the bill. Sent 15: Pataki's recent remarks are a sign that he understands how central the rebuilding of Lower Manhattan will be to his own political legacy. Sent 16: Now he needs to follow through with action, to keep demonstrating that his core concern is coming up with the best possible plan, not simply keeping the issue on hold until after this fall's election. Question: What did Gov. George Pataki say that it was time to do due to the public dismay from the disappointing work on rebuilding Lower Manhattan?. Output:
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Part 1. Definition You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian. Part 2. Example وأعتقد أنه في القريب سوف ترى المرضى يعالجون بواسطة خلاياهم الجذعية المستخرجة من الدهون أو المستخرجة من الحيوانات Answer: Penso che abbastanza presto vedrete pazienti curati con le cellule staminali derivanti dal proprio grasso o adipe. Explanation: The Arabic sentence is correctly translated into Italian, because the meaning is preserved. Part 3. Exercise والتساؤل الذي أود أن أتباحث معكم بشأنه هو ما إذا أسهمت الديمقراطية أم لم تسهم في توسعهما الإقتصادي. Answer:
[ -0.39198821783065796, 0.5254601836204529, -0.21770620346069336, -0.7635508179664612, -0.7441182136535645, -0.3088234066963196, 0.7247176766395569, 0.8101373910903931, 0.3599321246147156, -0.3283892273902893, -0.5565756559371948, 0.23142029345035553, -0.58599853515625, 0.09954947233200073, ...
Teacher: In this task, you will be shown an English sentence. You need to classify the sentence as either a representation of an adjunct island or as an incorrect representation. A correct representation should be denoted as 'good' while everything else should be denoted as 'bad'. A correct representation of an adjunct island will be a grammatically correct instance of a sentence using an adjunct island. An incorrect representation will be everything else. Teacher: Now, understand the problem? If you are still confused, see the following example: Who should the boss fire after seeing HR? Solution: good Reason: The sentence forms an adjunct island. Now, solve this instance: Who could Valerie appreciate Tamara before aggravating? Student:
[ 0.06590014696121216, 0.5958346128463745, 0.6015795469284058, -0.7459466457366943, 0.014848992228507996, -1.636730432510376, 0.4474599063396454, -0.07609286159276962, 0.40599900484085083, 0.27285173535346985, 0.26338842511177063, -0.46276217699050903, -0.5672503709793091, 0.2084472775459289...
Part 1. Definition In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same length that is the largest across all words in that sentence. Part 2. Example Sentence: 'two men in a room holding wii remotes'. Is 'remotes' the longest word in the sentence? Answer: Yes Explanation: The word 'remotes' has 7 letters which is the maximum in this sentence. So, the answer is 'Yes'. Part 3. Exercise Sentence: 'a cute little kitten sitting on a laptop keyboard'. Is 'cute' the longest word in the sentence? Answer:
[ -0.024700721725821495, 0.8487334251403809, -0.2271384298801422, 0.01899256743490696, 0.037099726498126984, -0.5886703729629517, 0.2609708309173584, 0.27263325452804565, 0.26477283239364624, -0.41681644320487976, -0.43855994939804077, 0.4679223299026489, -0.3069148361682892, -0.235685378313...
Instructions: You are given a statement written in Gujarati. 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 . Input: Statement: છેડછા <MASK> દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્યના સુરત જિલ્લામાં આવેલા કામરેજ તાલુકામાં આવેલું ગામ છે. છેડછા ગામમાં મુખ્યત્વે આદિવાસીઓ અને પાટીદારો ઉપરાંત અન્ય લોકોની વસ્તી રહે છે. આ ગામના વ્યવસાયમાં મુખ્યત્વે ખેતી, ખેતમજૂરી અને પશુપાલન છે. આ ગામમાં ડાંગર, શેરડી, કેળાં, તેમ જ શાકભાજી જેવાં ખેત-ઉત્પાદનોના પાક લેવામાં આવે છે. ગામમાં પ્રાથમિક શાળા, પંચાયતઘર, આંગણવાડી તેમ જ દુધની ડેરીની સવલતો પ્રાપ્ય છે. Option A: આંગણવાડી Option B: વિયેટનામ Option C: ગુજરાત Option D: ભારત Output:
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Detailed Instructions: In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element in the reverse order. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j. Q: 2, 2, ['5947', 's'] A:
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You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Polish. [EX Q]: الآن هذه أسئلة جدلية ، ونحاول نميل للهروب منها. [EX A]: Wszystkie te kwestie są kontrowersyjne, więc zwykle od nich uciekamy. [EX Q]: أعد الخطوات ، وأعمدة الإنارة و كل هذه الأشياء و التي يتصادف معها الأشخاص ذوي الضعف البصري كثيرا. [EX A]: Liczę schody i latarnie. Wszystkie te rzeczy, które niedowidzący ludzie mają skłonność napotkać na drodze. [EX Q]: أقول ، "" إستمعوا الآن. في الجيش ، عندما نريدكم أن تنتبهوا ، فإنه يكون لدينا أمر. وتسمى "" استرح "" وتعني أن كل واحد يبقى هادئاً وفي وضعية الإنتباه. إستمعوا. [EX A]:
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Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head is located or can be found at/in/on the Tail or not. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action. Input: Head: bus<sep>Tail: use Output:
[ 0.4314548373222351, 0.20329375565052032, 0.3265310525894165, 0.011726729571819305, -0.7747111320495605, -0.5365930795669556, 1.068159818649292, 0.43820953369140625, -0.2967566251754761, -0.24568849802017212, -0.6547395586967468, -0.380850613117218, 0.034341659396886826, 0.35728275775909424...
Generate a correct and concise answer for the question based on the words in the context. Example Input: Context : Born in Sylacauga, Alabama, United States, Van Allen Plexico graduated from Auburn University with Bachelor's and Master's Degrees in 1990 and 1994, doing additional graduate work at Georgetown University and at Emory University. Question : Which college or university is related with Van Allen Plexico? Example Output: Auburn University Example Input: Context : By early 1945, over 2,000 M18 recoilless rifles and 800,000 rounds of ammunition were on order. Question : What year was M18 recoilless rifle made? Example Output: 1945 Example Input: Context : FC Polyot Bishkek is a Kyrgyzstani football club based in Bishkek, Kyrgyzstan that played in the top division in Kyrgyzstan, the Kyrgyzstan League. Question : Which is the league of FC Polyot Bishkek? Example Output:
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In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write an implausible POS tag to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposition or subordinating conjunction, JJ: Adjective, JJR: Adjective, comparative, JJS: Adjective, superlative, LS: List item marker, MD: Modal, NN: Noun, singular or mass, NNS: Noun, plural, NNP: Proper noun, singular, NNPS: Proper noun, plural, PDT: Predeterminer, POS: Possessive ending, PRP: Personal pronoun, PRP$: Possessive pronoun, RB: Adverb, RBR: Adverb, comparative, RBS: Adverb, superlative, RP: Particle, SYM: Symbol, TO: to, UH: Interjection, VB: Verb, base form, VBD: Verb, past tense, VBG: Verb, gerund or present participle, VBN: Verb, past participle, VBP: Verb, non-3rd person singular present, VBZ: Verb, 3rd person singular present, WDT: Wh-determiner, WP: Wh-pronoun, WP$: Possessive wh-pronoun, WRB: Wh-adverb One example: What is the part-of-speech tag of the word "the" in the following question: Who were the builders of the mosque in Herat with fire temples ? Solution is here: IN Explanation: This is a good example. POS tag of the is DT and IN is incorrect. Now, solve this: What is the part-of-speech tag of the word "and" in the following question: What is the constituency number for the constituency that eliminated Nabadwip and replaced it ? Solution:
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In this task, you must classify if a given review is positive/negative, indicating your answer as P or N. One example: plot : two teen couples go to a church party , drink and then drive . they get into an accident . one of the guys dies , but his girlfriend continues to see him in her life , and has nightmares . what 's the deal ? watch the movie and " sorta " find out . . . critique : a mind - fuck movie for the teen generation that touches on a very cool idea , but presents it in a very bad package . which is what makes this review an even harder one to write , since i generally applaud films which attempt to break the mold , mess with your head and such ( lost highway & memento ) , but there are good and bad ways of making all types of films , and these folks just did n't snag this one correctly . they seem to have taken this pretty neat concept , but executed it terribly . so what are the problems with the movie ? well , its main problem is that it 's simply too jumbled . it starts off " normal " but then downshifts into this " fantasy " world in which you , as an audience member , have no idea what 's going on . there are dreams , there are characters coming back from the dead , there are others who look like the dead , there are strange apparitions , there are disappearances , there are a looooot of chase scenes , there are tons of weird things that happen , and most of it is simply not explained . now i personally do n't mind trying to unravel a film every now and then , but when all it does is give me the same clue over and over again , i get kind of fed up after a while , which is this film 's biggest problem . it 's obviously got this big secret to hide , but it seems to want to hide it completely until its final five minutes . and do they make things entertaining , thrilling or even engaging , in the meantime ? not really . the sad part is that the arrow and i both dig on flicks like this , so we actually figured most of it out by the half - way point , so all of the strangeness after that did start to make a little bit of sense , but it still did n't the make the film all that more entertaining . i guess the bottom line with movies like this is that you should always make sure that the audience is " into it " even before they are given the secret password to enter your world of understanding . i mean , showing melissa sagemiller running away from visions for about 20 minutes throughout the movie is just plain lazy ! ! okay , we get it . . . there are people chasing her and we do n't know who they are . do we really need to see it over and over again ? how about giving us different scenes offering further insight into all of the strangeness going down in the movie ? apparently , the studio took this film away from its director and chopped it up themselves , and it shows . there might 've been a pretty decent teen mind - fuck movie in here somewhere , but i guess " the suits " decided that turning it into a music video with little edge , would make more sense . the actors are pretty good for the most part , although wes bentley just seemed to be playing the exact same character that he did in american beauty , only in a new neighborhood . but my biggest kudos go out to sagemiller , who holds her own throughout the entire film , and actually has you feeling her character 's unraveling . overall , the film does n't stick because it does n't entertain , it 's confusing , it rarely excites and it feels pretty redundant for most of its runtime , despite a pretty cool ending and explanation to all of the craziness that came before it . oh , and by the way , this is not a horror or teen slasher flick . . . it 's just packaged to look that way because someone is apparently assuming that the genre is still hot with the kids . it also wrapped production two years ago and has been sitting on the shelves ever since . whatever . . . skip it ! where 's joblo coming from ? a nightmare of elm street 3 ( 7/10 ) - blair witch 2 ( 7/10 ) - the crow ( 9/10 ) - the crow : salvation ( 4/10 ) - lost highway ( 10/10 ) - memento ( 10/10 ) - the others ( 9/10 ) - stir of echoes ( 8/10 ) Solution is here: N Explanation: The phrases used in the review convey a negative sentiment (e.g. "presents it in a very bad package"). Now, solve this: 2 days in the valley is more or less a pulp fiction knock off . it basically involves how a bunch of quirky characters in the los angeles area end up having their lives become intertwined in some very unusual ways . i 'm not going into much greater detail than that , since it would take forever to explain , and quite frankly , i 'm not willing to spend any more time on it than the 2 hours that i 've already wasted . while it tries very hard to be pulp fiction , 2 days in the valley falls way short . this is quite a condemnation considering the cast includes danny aiello , james spader and jeff daniels . while the story is n't much , and the dialogue and characters rate only marginally better , 2 days in the valley does have a couple of bright spots . james spader 's character , while not much better than the rest , is at least fun to watch in a sick sort of way . and we do get to see a nice cat fight between uber babes teri hatcher and charlize theron ( in her first role ) . you know a movie is n't that good when the highlight is a brawl between two women . even if they are both gorgeous . i will give the writers some credit for the fairly clever ways in which they managed to intersect the lives of this group of characters that would have otherwise never interacted . but marveling at that ingenuity is a far cry from actually enjoying the result . while some of the characters and their respective stories are fairly interesting , they inevitably are brought down as they intersect with the other half of the characters that i really cared absolutely nothing about . if i were to put a number on it , only about half of the story and half the characters in this movie were particularly interesting or otherwise enjoyable to watch . this is the sort of movie that only a huge fan of one or more of the cast members should rent , and even then prepare for disappointment . not even charlize theron being naked would get me to sit through this movie again . or at least not all of it anyway . Solution:
[ 0.14001452922821045, 0.28473904728889465, -0.6830869317054749, 0.05189085006713867, 0.15591123700141907, -0.18338899314403534, 1.0940463542938232, 0.9960635900497437, -0.3339296579360962, 0.11676210165023804, -0.13664782047271729, 0.17455562949180603, -0.15970084071159363, -0.1741975545883...
Instructions: Construct a question that every answer in the list is correct and reasonable for it. Input: john, jesus, joseph, moses, david, matthew Output:
[ 0.9919911623001099, 0.9443320035934448, -1.2236080169677734, -0.8719298243522644, 0.05823083221912384, -1.029811978340149, -0.18979677557945251, -0.27846741676330566, 0.8056811094284058, 0.43172168731689453, -0.34679126739501953, 0.03912800922989845, -0.18283383548259735, -1.35592305660247...
Definition: You are given a sentence in Polish. Your job is to translate the Polish sentence into Japanese. Input: Nosi ona tytuł Porządkowanie Sztuki i, jak widzicie, jest to coś jakby książka obrazkowa. Output:
[ -0.7707986235618591, -0.21248957514762878, 0.1231035590171814, 0.11368036270141602, -0.11398313194513321, 0.15382325649261475, 0.915668785572052, -0.5288877487182617, 0.5115891098976135, -0.9518342018127441, -0.07724292576313019, -0.4685437083244324, -0.33303776383399963, 0.694693088531494...
This task is about translating a given Spanish language sentence to English. Input: Consider Input: Es como cuando se recolecta un cultivo, no quieres recogerlo todo de una vez, te conviene hacerlo en tandas, ¿empiezas el ciclo cada dos semanas? Output: It's like harvesting a crop, you don't want to harvest all at once, can you stage these things, so you have them growing every two weeks? Input: Consider Input: Si tenemos una distribución continua, lo haríamos tomar de la suma en una integral. Output: If we have a continuous distribution, we would take from the summation into an integral. Input: Consider Input: Por lo tanto, observe aquí, la vuelta continuamente compuesta es un número menor.
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You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Arabic. Example: A fines del verano estamos instalando el primer lote de computadoras y ayudando al Dr. Zullinger a desarrollar estrategias para poder conectar el aula y el hogar y extender el aprendizaje más allá del día escolar. Example solution: فالفرقة الأولى من أجهزة الحاسب سيتم تشغيلها هذا الصيف و نحن نساعد د. زنفلر في صنع استراتيجيات حول كيفية امكانية ربط الفصل مع البيت ليمتد التعليم الى بعد اليوم المدرسي. Example explanation: The Spanish sentence is correctly translated into Arabic, because the meaning is preserved. Problem: Esto es en el Este de Tennessee, ellos decidieron que necesitaban una tradición positiva vinculada a la muerte.
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Teacher: Given a text, write a compressed version of it in a single sentence. Teacher: Now, understand the problem? If you are still confused, see the following example: Except for this small vocal minority, we have just not gotten a lot of groundswell against this from members, " says APA president Philip G. Zimbardo of Stanford University. Solution: "Except for this small vocal minority, we have not gotten a lot of groundswell against this," says APA president Zimbardo. Reason: Both texts convey the same meaning that they have not gotten much groundswell against this except for small minority. Now, solve this instance: This is an interesting, useful reference book containing information about the better-known writers of America. Student:
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Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: (1) when the individual's belief matches reality, (2) when the individual's belief does not match reality, (3) 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. Example: Isabella entered the hall. Olivia entered the hall. The apple is in the blue_treasure_chest. Olivia exited the hall. Isabella moved the apple to the green_basket. Where does Isabella think that Olivia searches for the apple? Example solution: blue_treasure_chest Example explanation: Since Olivia was no longer in the hall, she last remembers the apple being in the blue_treasure_chest even though Isabella moved it to the green_basket. Since Isabella was in the hall the entire time, she knows where Olivia will look for it. Problem: Oliver entered the dining_room. Aria entered the dining_room. The potato is in the green_crate. Oliver moved the potato to the blue_bathtub. Where will Aria look for the potato?
[ 0.4098985195159912, 0.07534265518188477, -0.1808800846338272, 0.05359167978167534, -0.5180222392082214, -0.49541816115379333, 0.11680428683757782, 0.8937072157859802, 0.14689373970031738, -0.20131784677505493, -0.06775948405265808, 0.47853586077690125, 0.043726835399866104, -0.003130460390...
Q: Read the given text and if it has abusive content then indicate via "yes". Otherwise indicate via"no". We consider the content to be abusive if it contains any of the following instances: (1) Identity Directed Abuse (e.g., Content which contains a negative statement made against an identity. An identity is a social category that relates to a fundamental aspect of individuals community, socio-demographics, position or self-representation) (2) Affiliation Directed Abuse (e.g., Content which express negativity against an affiliation. We define affiliation as a (more or less) voluntary association with a collective. Affiliations include but are not limited to: memberships (e.g. Trade unions), party memberships (e.g. Republicans), political affiliations (e.g. Right-wing people) and occupations (e.g. Doctors).) (3) Person Directed Abuse (e.g., Content which directs negativity against an identifiable person, who is either part of the conversation thread or is named. Person-directed abuse includes serious character based attacks, such as accusing the person of lying, as well as aggression, insults and menacing language.) and (4) Counter Speech (e.g., Content which challenges, condemns or calls out the abusive language of others.). Note that URLs in the text have been replaced with [Link]. I thought this was some kind of super-offensive joke that could go on /r/imgoingtohellforthis. Then i read the title. A:
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TASK DEFINITION: In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original" or "Changed" based on your judgment. PROBLEM: The two VPs twitched a bit , clear puddles of their relief . SOLUTION: Changed PROBLEM: - following which , you will spy on them and report their findings directly to me . " SOLUTION: Changed PROBLEM: And if I did , then I deserved whatever ass kicking Daniel dished out . SOLUTION:
[ -0.6840876340866089, 0.6131688356399536, 0.2390400618314743, -0.1624825894832611, -0.2251531481742859, -0.0095440074801445, 0.610127329826355, 0.48805004358291626, 0.5115079879760742, -0.34759318828582764, -0.5786166191101074, -0.5314053893089294, -0.6928776502609253, -0.15387968719005585,...
Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Hebrew. Input: حيث فيه بروتين سكري يدعى "" كيراكولين "" وهو مكون طبيعياً.. ويصيبني بالفزع في كل مرة استخدمه.. ولكن لديه قدرة خاصة على تكوين مذاق معين - خداع نكهي - على مستقبلات النكهة في اللسان.. فحساسات النكهة الأساسية المتعلقة التي عادة تتذوق المرارة تبدأ تبعاً لهذا الروتين السكري بصورة ما تبدو حلوة المذاق Output:
[ -0.3544277548789978, 0.28772228956222534, -0.028258871287107468, -0.7718014717102051, -0.39775174856185913, 0.7461156249046326, 0.5652759075164795, 0.44138285517692566, 0.261089563369751, -0.6528884768486023, -0.7855826616287231, -0.11107899248600006, -0.6029678583145142, 0.611415028572082...
Q: In this task, You are given an amazon food product review and its summary. Your task is to Generate "True" if given review and its summary match, otherwise generate "False". I have tried it out despite the other review and I found that this is exactly the same tea i buy in either Russian or Italian groceries. Summary: This is what you get in the store A:
[ 0.034996964037418365, -0.21850211918354034, 0.2568042278289795, -0.5779523253440857, -0.17864692211151123, 0.07864794135093689, 0.6633070707321167, 0.9774104952812195, -0.2971687614917755, 0.16216915845870972, -0.17959211766719818, -0.28411802649497986, -0.4570327401161194, 0.1600427776575...
Teacher: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. Teacher: Now, understand the problem? Solve this instance: 1, ['o', '9055', '4957', 'x', '5621', '5185', '7461', 'r', 'H', '635', '8447', '4619', 'z', '1189', 'L', 'E', 'o', '2409', 'u', '7', '3611', 'v', 'j'] Student:
[ -0.32966750860214233, 0.4625389575958252, -0.2568535804748535, -0.4889116883277893, -0.6153140664100647, -0.3036983013153076, 0.07367801666259766, 0.36110740900039673, -0.19222377240657806, -0.13376101851463318, -0.6630460023880005, -0.8910099864006042, 0.34197330474853516, -0.096342891454...
Detailed Instructions: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content. Q: As an impressionable 10 year old, I liked the "love conquers all" philosophy of the 70s sitcom "Bridget Loves Bernie." I did understand the controversy, which was about the romantic complications between a Jewish cab driver (David Birney) and an Irish Catholic school teacher (Meredith Baxter) and both sets of parents (Harold J. Stone and Bibi Osterwald as Bernie's parents; Audra Lindley and David Doyle as Bridget's parents) who have issues with the young couple's interfaith marriage.Looking at the show now with years of personal life experiences, I am amazed that the show was even a success for one, albeit, highly-rated season. Created by veteran TV writer Bernard Slade, who a few years after the show's cancellation would write the successful play "Same Time, Next Year", "Bridget Loves Bernie" was a very light, superficial comedy that collapsed under its own airy weight.There was no denying the real-life chemistry between Birney and Baxter. But, in later years, both actors have shown that they are better actors in other projects (Birney in his short-lived role in "St. Elsewhere" and Baxter in "Family" and "Family Ties"). Here, they were trying to breathe life in a show that needed a much gritter comic edge, which might have given the complications more depth to a very controversial subject.The show aired Saturday nights between two CBS powerhouses: "All in the Family" and "Mary Tyler Moore". Both of those shows were smart, funny and had enough of an edge (more so on the former that the latter) that kept my interest in the situation and the characters. "Bridget Loves Bernie" was not very smart and only had some occasional chuckles.This was another example of a show that really was not as good as I remembered. A:
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Detailed Instructions: Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can be directly excluded without reasoning according to the context. Try to make your responses similar to the given correct answer. To this end, try to keep both the length and the style as similar as possible between the correct and the incorrect answer. To make your incorrect answers more difficult, try to incorporate words from context. To avoid being predictable or repetitive, try to add more variations and complexity. Problem:Context: The book is filled with very vivid descriptions of almost everything from castles , landscapes , courts , and the journeys that the characters go on . In the beginning this imagery was very helpful as it gave the readers a great way to visualize a new fantasy world , which I found captivating . We learn all about the land - past and present - the people , and the kings . Question: What might have happened if the book was not so descriptive ? Correct Answer: One would not be able to envision a vivid picture of the environment the book refers to. Solution:
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You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish. -------- Question: No puedo olvidar a la tía. Answer: Nie mogę zapomnieć cioci. Question: ¿Podríamos entender la base de la vida celular a nivel genético? Answer: Co stanowi podstawę życia komórki na poziomie genetycznym? Question: Quiero hablarles del futuro de la medicina. Answer:
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Given the task definition and input, reply with output. In this task, you are given a sentence in either Spanish or English. Your task is to determine the language of the input sentence. Input sentences can only be in Spanish or English, and they cannot be in two languages ​​at the same time. Por último, hay que añadir que, en el caso de las drogas, el control es más difícil, ya que los sistemas de control no son tan automáticos ni tan inmediatos como en el caso de la alcoholemia.
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In this task, you will be shown a Persian passage and question. You need to write a answer for the question. Try to keep your answers as short as possible. Input: Consider Input: ذرت یا بلال یا جواری یکی از غلات مهم است. منشأ آن قاره آمریکا بوده‌است و پس از گندم، بیشترین اراضی کشاورزی جهان به ذرت اختصاص دارد. ذرت سرشار از مواد مغذی مورد نیاز برای بدن بوده و نیز منبع خوبی از فیبر محسوب می‌شود و سرشار از کالری است. ذرت تا قبل از سال ۱۴۹۲ میلادی (سال کشف آمریکا) در قاره آسیا، اروپا و آفریقا به عنوان یک گیاه زراعی شناخته شده نبود. اما این گیاه را از قرن‌ها پیش در آمریکای مرکزی می‌شناختند و توسط مردم سرخ‌پوست آمریکا کشت می‌شد. نام این گیاه در زبان عربی ذرت و بلال است. در فرهنگ دهخدا آمده نام پارسی این گیاه در گویش خراسانی "جواری" است ولی واژهٔ عربی آن، ذرت، هم بکار برده می‌شود. فرهنگ معین هم "جواری" را برابر با "ذرت" و "بلال" معرفی کرده‌است. ذرت از نظر طب قدیم ایران سرد و خشک است. ساقه‌های ذرت از لحاظ ظاهری شبیه ساقه‌های بامبو هستند و میانگره‌ها به‌طور معمول به ۱۷ اینچ می‌رسند. ذرت فرم رشد محدود دارد و برگ‌های پایینی، برگ‌های شمشیری وسیعی هستند که عموماً ۱۰۰–۵۰ سانتی‌متر طول و ۱۰–۵ سانتیمتر عرض دارند (۴–۲ فوت در ۴–۲ اینچ). Question: گیاه ذرت چه شکلیه؟ Output: ساقه‌های ذرت از لحاظ ظاهری شبیه ساقه‌های بامبو هستند و میانگره‌ها به‌طور معمول به ۱۷ اینچ می‌رسند. Input: Consider Input: اَختَرشناسی، ستاره‌شناسی یا نجوم به دانش بررسی موقعیت، تغییرات، حرکت و ویژگی‌های فیزیکی و شیمیایی «اشیاء آسمانی» از جمله ستاره‌ها، سیاره‌ها، دنباله‌دارها، کهکشان‌ها و رویدادهای آسمانی مانند شفق قطبی و تابش زمینهٔ کیهانی گفته می‌شود که منشأ آن‌ها در خارج از جوّ زمین است. اخترشناسی با رشته‌هایی همچون کیهان‌شناسی، فیزیک، شیمی و فیزیکِ حرکت ارتباط تنگاتنگ دارد. «اگر فقط ستاره‌ها مطالعه شوند به آن اخترشناسیِ ستاره‌ای گفته می‌شود» اخترشناسی یکی از قدیمی‌ترین علوم است. با اختراع تلسکوپ، تحولی عظیم در این رشته ایجاد شد و دوران اخترشناسی جدید آغاز شد. در قرن بیستم، رشتهٔ اخترشناسی به دو رشتهٔ اخترشناسی رصدی و اخترشناسی نظری تبدیل شد. در اخترشناسی رصدی به‌دنبال گردآوری داده‌ها و پردازش آن‌ها و همچنین ساخت و نگهداری ابزارهای اخترشناسی هستیم. در اخترشناسی نظری به‌دنبال کسب اطمینان از صحت نتایج به‌دست‌آمده از مدل‌های تحلیلی و تحلیل‌های رایانه‌ای هستیم. این دو رشته یکدیگر را تکمیل می‌کنند؛ به این ترتیب که کار اخترشناسی رصدی ارائه شرحی بر رصدها و وظیفه اخترشناسی نظری اثبات عملی نتایج پیش‌بینی‌شده در نظریه‌هاست. Question: چه چیزی در رشته نجوم تحولی بزرگ بوجود آورد؟ Output: اختراع تلسکوپ Input: Consider Input: هرم‌های مصری از مهمترین و باشکوه‌ترین سازه‌های بر جای مانده از تمدن مصر باستان هستند که نمادهای این تمدن نیز به‌شمار می‌روند. تعداد ۱۳۸ هرم شناخته شده تا سال ۲۰۰۸ در مصر موجود بودند که بیشتر آن‌ها آرامگاه فرعون‌ها و شهبانوهایشان در دوره‌های دودمانی کهن و میانه هستند. نخستین هرم‌های ساخته شده در مصر در سقاره، شمال غربی ممفیس قرار دارند. قدیمی‌ترین این هرم‌ها، هرم جوزر است که مربوط به شاه جوزر از دودمان سوم می‌شود. هرم و مجموعه آرامگاه کنار آن توسط وزیر دانشمند جوزر، ایمهوتپ، طراحی و ساخته شدند و قدیمی‌ترین سازه‌های ساخته شده توسط بشر از سنگ‌تراش‌خورده به‌شمار می‌روند. نامدارترین هرم‌های مصری اما مجموعه اهرام جیزه هستند که در منطقه جیزه در حومه قاهره قرار دارند و از بزرگترین سازه‌های ساخته شده در تاریخ بشر به‌شمار می‌روند. این هرم‌های سه‌گانه تنها بناهای بازمانده از میان هفت عجایب جهان باستان هستند که هنوز بر جای مانده‌اند.در سال ۱۸۴۲، کارل ریچارد لپسیوس نخستین فهرست از هرم‌های موجود در مصر را تهیه کرد؛ فهرستی که به نام فهرست هرم‌های لپسیوس شناخته می‌شود. در این فهرست تعداد ۶۷ هرم شمرده شده‌اند با این حال نه تنها از آن هنگام تاکنون تعداد بیشتری هرم در این کشور پیدا شده‌اند که چندین سازه‌ای که لپسیوس زیر عنوان هرم طبقه‌بندی کرده بود امروزه دیگر به عنوان «هرم» شناخته نمی‌شوند. تا نوامبر سال ۲۰۰۸، تعداد ۱۱۸ هرم در مصر شناسایی شدند. Question: نماد تمدن مصر چیست؟
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In this task, you have to identify the named entities (NER) which are the ingredients required given its directions. Named entities are the names of the items without their quantity. In a large bowl, combine instant vanilla pudding mix and cold milk., Beat until well blended., Let stand for 5 minutes., Add Eagle Brand milk., Fold in 1/2 of Cool Whip. vanilla pudding, cold milk, milk, bananas, vanilla wafers Layer in order in a crock-pot and heat for one to two hours. Stir and mix., Drop by spoonfuls on waxed paper., Store in the refrigerator. almond bark, chocolate bark, baking chocolate, peanuts Ground beef can either be broken up in pieces or made into patties., Place ingredients in layers in greased 2-quart casserole. Garnish with green pepper, if desired., Bake 2 hours at 350°.
[ 0.02467813715338707, 0.18967272341251373, 0.5860598087310791, 0.46454718708992004, -0.415596604347229, 0.36631128191947937, 0.7349600791931152, 0.5883587598800659, -0.4538045823574066, -0.26173681020736694, -0.008150015026330948, -0.36481183767318726, -0.9068088531494141, -0.18995909392833...
Definition: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Arabic. Input: این یکی از آنهاست: این فرانک گری پیشگام معماري در گوگنهایمِ ابوظبی است. Output:
[ -0.777905285358429, 0.41627901792526245, -0.2902471125125885, -0.7196396589279175, -0.4965915083885193, 0.20788486301898956, 0.7624759674072266, -0.08174997568130493, 0.9159915447235107, 0.17257565259933472, -1.1250665187835693, 0.5028147101402283, -0.5924208760261536, 0.2822837233543396, ...
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task. In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every even number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no even numbers in an inner list you should output 0 for that list. [[7, -3, -3, 11], [-6, -6, -5, 2], [-8, 4, -3]] Solution: [0, 72, -32] Why? The first inner list has no even integers, so the first number in the output is 0. The second list has -6, -6, 2 for even integers so the second output is 72. The third list has -8, 4 as even numbers so the third output is -32. This is a good example. New input: [[44, -32, -1], [-24, -18, -16, 16], [1, -31, -34, -45, 23], [6, -18, 45, -7], [1, 44, 42], [40, -5, 32], [-39, 41, 10], [-40, -42, 28, -14], [24, 11, -19, -19, -31], [25, -34], [-44, 48], [-8, 14, 26]] Solution:
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Detailed Instructions: In this task you will be given a list of integers. You should remove any integer that is not prime. A prime integer is an integer that is only divisible by '1' and itself. The output should be the list of prime numbers in the input list. If there are no primes in the input list an empty list ("[]") should be returned. Q: [997, 861, 313, 971, 823, 809, 27, 199, 521, 715, 821, 101, 157, 769] A:
[ -0.9032696485519409, 0.4617798626422882, -0.21853956580162048, -0.7729101181030273, -0.27091696858406067, -0.5604415535926819, 0.5530274510383606, 0.6774702072143555, -0.2416037917137146, 0.7905520796775818, -1.0992112159729004, -0.189730703830719, -0.539688229560852, 0.010392868891358376,...
Combine the given two facts to write a concluding fact. Note that there should be some parts of the first and second facts that are not mentioned in this conclusion fact. Your combined fact should be the result of a chain between the two facts. Chains form when two facts connect together to produce a concluding fact. An example of a chain is: "pesticides cause pollution" (fact1) + "pollution can harm animals" (fact2) → "pesticides can harm animals" (conclusion fact). Parts of the concluding fact overlap with the first and the second fact. To construct such a concluding fact, a useful way is to borrow the subject from one fact and the ending conclusions from another fact. Fact 1: Insulin is a hormone that helps cells absorb sugar from the blood. Fact 2: Insulin and glucagon are produced by the pancreas.
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The task is about translation from Telugu to English. While performing the translation you must preserve the original meaning. Do not include any words which are only limited to your native place. Q: హాంక్: (నవ్వుతూ) Sorbonne! A:
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instruction: 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'. question: Passage: In 2012, Hudson Mohawke began a series of collaborations with Kanye West, resulting in production credits on the GOOD Music label album Cruel Summer. On 17 January 2013, it was announced that Mohawke had officially signed with GOOD Music as a producer, whilst remaining with Warp and LuckyMe as a recording artist. TNGHT announced their hiatus on 27 December 2013. Mohawke co-produced two tracks on West's 2013 album Yeezus ("I Am a God" and "Blood on the Leaves") and contributed to West's 2016 follow-up The Life of Pablo, in addition to working with various other hip hop and pop artists, including Drake, Pusha T, and Future. In 2015, he released his second studio album, Lantern. In 2016, he collaborated with singer Anohni on her 2016 album Hopelessness. Mohawke announced on 26 October 2016 via Twitter that he was creating the original soundtrack for the 2016 video game Watch Dogs 2 titled "Ded Sec" and that Warp Records would release it on 11 November 2016. Link Information: Co-founder Rob Mitchell was diagnosed with cancer in early 2001. He died later that year Question: Who owned Warp Records the year the soundtrack to the game Watch Dogs 2 was released? answer: Answer: Steve Beckett question: Passage: A native of the Ukrainian port city of Odessa (a part of the Soviet Union until 1991), Izold Pustõlnik graduated cum laude from Odessa University in 1960 and received his Ph.D. from the University of Tartu in 1969 and his D.Sc. from Saint Petersburg State University in 1994. From the age of 27 in 1965 until his death forty-three years later, he was on the staff of Tartu Observatory where, as a research associate (promoted to senior research associate in 2000), he worked on the physics of close binary systems, theory of stellar atmospheres, interstellar medium, archaeoastronomy and history of astronomy. He was also a member of the International Astronomical Union, European Astronomical Society, Euroscience, Society for European Astronomy in Culture (SEAC) and served on the Board of Euro-Asian Astronomical Society and the Advisory Board of Astronomical and Astrophysical Transactions. Link Information: none Question: How many citizens lived in Odessa the year it ceased to be part of the Soviet Union? answer: Answer: none question: Passage: The New Adventures of Pinocchio is a syndicated stop motion animated television series produced by Rankin/Bass Productions in the United States and made by Dentsu Studios in Japan. Created by Arthur Rankin, Jr. and his partner Jules Bass, it was based on the book The Adventures of Pinocchio written by Italian author, Carlo Collodi. The series was Rankin/Bass' first production to be made in "Animagic", a stop motion puppet technique which, in association with the company, was done by Tadahito Mochinaga's MOM Productions (before Mochinaga leaves for China after the finished animation for Mad Monster Party?). A total of 130 five-minute "chapters" were produced in 1960–61. These segments made up a series of five-chapter, 25-minute episodes. During 1963–64, the series was also aired in Japan on Fuji TV as part of another stop motion TV series, Prince Ciscorn (シスコン王子, lit. Ciscorn Ōji), based on the manga by Fujiko Fujio and also produced by Tadahito Mochinaga for Studio KAI and Dentsu. Link Information: Arthur Gardner Rankin Jr. (July 19, 1924  Question: Which co-creator of The New Adeventures of Pinocchio is the oldest? answer:
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You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task. In this task, you are given a question and a context passage. You have to answer the question based on the given passage. what is the first event mentioned?, Context: The Russian Revolution is the series of revolutions in Russia in 1917, which destroyed the Tsarist autocracy and led to the creation of the Soviet Union. Following the abdication of Nicholas II of Russia, the Russian Provisional Government was established. In October 1917, a red faction revolution occurred in which the Red Guard, armed groups of workers and deserting soldiers directed by the Bolshevik Party, seized control of Saint Petersburg (then known as Petrograd) and began an immediate armed takeover of cities and villages throughout the former Russian Empire. Solution: Russian Revolution Why? This is a good example, and the Russian Revolution is the first event mentioned. New input: Which has more prestige, the Spring Cup Series or low-tier NASCAR circuits?, Context: In addition to professional team sports, North Carolina has a strong affiliation with NASCAR and stock-car racing, with Charlotte Motor Speedway in Concord hosting two Sprint Cup Series races every year. Charlotte also hosts the NASCAR Hall of Fame, while Concord is the home of several top-flight racing teams, including Hendrick Motorsports, Roush Fenway Racing, Richard Petty Motorsports, Stewart-Haas Racing, and Chip Ganassi Racing. Numerous other tracks around North Carolina host races from low-tier NASCAR circuits as well. Solution:
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Part 1. Definition In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e you need to perform addition when you see 'aggiunta' and subtraction in case of 'sottrazione'. Part 2. Example 10 sottrazione 7 Answer: 3 Explanation: Here, 'sottrazione' represents the subtraction operation. So, the answer is 3 (10-7=3). Part 3. Exercise 5468 aggiunta 5160 sottrazione 8746 sottrazione 7414 sottrazione 2749 sottrazione 9304 sottrazione 2803 aggiunta 5306 sottrazione 6963 Answer:
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In this task, you're given four sentences of a story written in natural language. The given story is not complete and your job is to complete the story by selecting one of the end sentence choices from (A) and (B), such that the story does not sound complete and coherent, i.e., select an incorrect end sentence. [Q]: Sentence1: Rex missed his high school days of being a gymnast. Sentence2: Now he was afraid he had lost his athletic touch forever. Sentence3: However, a friend encouraged him to try a cartwheel on the beach. Sentence4: Rex did an awesome cartwheel on his first try! (A) He was relieved. (B) Rex did his first ever cartwheel that day. [A]: B [Q]: Sentence1: Joe got fired from his job. Sentence2: He was sad. Sentence3: He needed money for bills. Sentence4: He called up grant. (A) Joe loaned Grant some money. (B) Grant loaned Joe some money. [A]: A [Q]: Sentence1: While I was in college, I had met an older man. Sentence2: I was 22 and he was 38 years old. Sentence3: We had a good understanding and had a good time together. Sentence4: We stayed together the whole time I was there. (A) I have fond memories of that time. (B) I have negative memories of that time. [A]:
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In this task, you're given an article, a question which often contains a blank and four options (associated with "A", "B", "C", "D"). Your task is to find the correct answer (from the given options) for the question from the given article and return one of the options from "A", "B", "C", and "D". Do not generate anything else apart from one of the following characters: "A", "B", "C", "D". There is only one correct answer for each question. One example is below. Q: Article: Homework can put you in a bad mood , and that might actually be a good thing. Researchers from the University of Plymouth in England doubted whether mood might affect the way kids learn. To find out the answer, they did two experiments with children. The first experiment tested 30 kids. Someshapes were hidden inside a different, larger picture. The kids had to find the small shapes while sitting in a room with either cheerful or sad music playing in the background. To test their mood, the scientists asked the kids to point to one of five faces, from happy to sad. Children who listened to cheerful music tended to point to the smiley faces while the others pointed to the unhappy ones. The researchers found that sad kids took at least a second less to find the small shapes. They also found an average of three or four more shapes. In the second experiment, 61 children watched one of two scenes from a film. One scene was happy, and the other was sad. Just like in the first experiment, kids who saw the sad scene acted better compared to the others. The researchers guessed that feeling down makes people more likely to focus on a problem or difficult situation. Not all scientists agree with them, however. Other studies argued that maybe, that cheerful music in the first experiment distracted kids from finding shapes. While scientists work on finding out the answers, it still might be wise to choose when to do your tasks according to your mood. After eating a delicious ice cream, for example, write an essay. Question: Researchers did experiments on kids in order to find out _ . Options: (A) how they really feel when they are learning (B) whether mood affects their learning ability (C) what methods are easy for kids to learn (D) the relationship between sadness and happiness A: B Rationale: It is clearly mentioned in the article that to the check effect of mood on children is the main purpose of the experiment. So, B is the correct answer. Q: Article: Rae Armantrout, who has been a poetry professor at the University of California San Diego(UCSD) for two decades, has won the 2010 Pulitzer Prize in the poetry category for her most recent book, "Versed". "I'm delighted and amazed at how much media recognition that the Pulitzer brings, as compared to even the National Book Critics Award, which I was also surprised and delighted to win," said Armantrout. "For a long time, my writing has been just below the media radar, and to have this kind of attention, suddenly, with my 10th book, is really surprising." Armantrout, a native Californian, received her bachelor's degree at UC Berkeley, where she studied with noted poet Denise Levertov, and her master's in creative writing from San Francisco State University. She is a founding member of Language Poets, a group in American poetry that analyzes the way language is used and raises questions to make the reader think. In March, she won the National Book Critics Circle Award for "Versed." "This book has gotten more attention," Armantrout said, "but I don't feel as if it's better." The first half of "Versed" focuses on the dark forces taking hold of the United States as it fought the war against Iraq. The second half looks at the dark forces casting a shadow over her own life after Armantrout was diagnosed with cancer in 2006. Armantrout was shocked to learn she had won the Pulitzer but many of her colleagues were not. "Rae Armantrout is a unique voice in American poetry," said Seth Lerer, head of Arts and Humanities at UCSD. "Versed", published by the Wesleyan University Press, did appear in a larger printing than her earlier works, which is about 2,700 copies. The new edition is scheduled to appear in May. Question: According to Rae Armantrout, _ . Options: (A) her 10th book is much better (B) her winning the Pulitzer is unexpected (C) the media is surprised at her works (D) she likes being recognized by her readers A:
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Given the task definition and input, reply with output. Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage. The aim of this study was to evaluate how closely analysis of bone quality performed using the bone mineral density (BMD) values obtained by quantitative computerized tomography (QCT) reflected the histologic bone density.', "Eighteen patients requiring implant therapy underwent CT scanning. Their data were processed using Image Master software, and the BMD was calculated by measuring the Hounsfield units and relating those values to a phantom (Calibration Phantom, Quantitative Technologies). Each patient wore a radiographic-surgical template in which titanium cylinders were placed as a drilling guide for preparation of the implant site. The mouth regions where the titanium guides were placed (on the CT images and in the patient's mouth) corresponded to the implant sites where the BMD was measured and where tissue specimens for histomorphometric analysis retrieved. Forty specimens measuring 6 mm in length and 2 mm in diameter were obtained. Histomorphometric analysis was performed by digitizing the images, which were subsequently analyzed using the image analysis software IAS 2000. The bone volume (BV) was calculated as a percentage by dividing the area occupied by the mineralized bone over the entire microscopic field.", 'The results of the statistical analysis showed a Pearson correlation coefficient of 0.691 between the BV and BMD values, with a P value < 0.01, which was considered significant.
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In this task, you are given the abstract of a research paper. Your task is to generate a summary of this abstract. Your summary should not be very short, but it's better if it's not more than 30 words. -------- Question: Recent work has shown that contextualized word representations derived from neural machine translation (NMT) are a viable alternative to such from simple word predictions tasks. This is because the internal understanding that needs to be built in order to be able to translate from one language to another is much more comprehensive. Unfortunately, computational and memory limitations as of present prevent NMT models from using large word vocabularies, and thus alternatives such as subword units (BPE and morphological segmentations) and characters have been used. Here we study the impact of using different kinds of units on the quality of the resulting representations when used to model syntax, semantics, and morphology. We found that while representations derived from subwords are slightly better for modeling syntax, character-based representations are superior for modeling morphology and are also more robust to noisy input. Answer: We study the impact of using different kinds of subword units on the quality of the resulting representations when used to model syntax, semantics, and morphology. Question: Transfer learning through fine-tuning a pre-trained neural network with an extremely large dataset, such as ImageNet, can significantly accelerate training while the accuracy is frequently bottlenecked by the limited dataset size of the new target task. To solve the problem, some regularization methods, constraining the outer layer weights of the target network using the starting point as references (SPAR), have been studied. In this paper, we propose a novel regularized transfer learning framework DELTA, namely DEep Learning Transfer using Feature Map with Attention. Instead of constraining the weights of neural network, DELTA aims to preserve the outer layer outputs of the target network. Specifically, in addition to minimizing the empirical loss, DELTA intends to align the outer layer outputs of two networks, through constraining a subset of feature maps that are precisely selected by attention that has been learned in an supervised learning manner. We evaluate DELTA with the state-of-the-art algorithms, including L2 and L2-SP. The experiment results show that our proposed method outperforms these baselines with higher accuracy for new tasks. Answer: improving deep transfer learning with regularization using attention based feature maps Question: Deep reinforcement learning algorithms require large amounts of experience to learn an individual task. While in principle meta-reinforcement learning (meta-RL) algorithms enable agents to learn new skills from small amounts of experience, several major challenges preclude their practicality. Current methods rely heavily on on-policy experience, limiting their sample efficiency. They also lack mechanisms to reason about task uncertainty when adapting to new tasks, limiting their effectiveness in sparse reward problems. In this paper, we address these challenges by developing an off-policy meta-RL algorithm that disentangles task inference and control. In our approach, we perform online probabilistic filtering of latent task variables to infer how to solve a new task from small amounts of experience. This probabilistic interpretation enables posterior sampling for structured and efficient exploration. We demonstrate how to integrate these task variables with off-policy RL algorithms to achieve both meta-training and adaptation efficiency. Our method outperforms prior algorithms in sample efficiency by 20-100X as well as in asymptotic performance on several meta-RL benchmarks. Answer:
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