SMART
Collection
Collection of models and datasets used for ACL 2024 paper, SMART - Submodular Data Mixture Strategy for Instruciton Tuning
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You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Portugese.
והעיקר הוא להגיע ליחס נהיגה-עצירה, זמני עצירה, של 6 או 7. | E o fundamental é termos uma relação entre o tempo de condução e o de paragem, de aproximadamente 6 ou 7 [horas]. |
In this task, you're given an input that contains two words, and your task is to predict the correct preposition that connects these two words. Predict the preposition that explicitly conveys both words' meaning, e.g., Word1: king
Word2: fort: "king of fort". Possible prepositions are: "of", "on", "in", "for", "from", "about", and "with".
--------
Question: Word1: list
Word2: witness
Answer: of
Question: Word1: tool
Word2: farm
Answer: for
Question: Word1: temperature
Word2: room
Answer: | of
|
Part 1. Definition
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the alphabetical elements in the given list. Return 0 if no alphabetical element in the list
Part 2. Example
['238', 'h', '92', 'U', '2799']
Answer: 2
Explanation: Here, the alphabetical elements in the input list are 'h' and 'U', hence their count is 2.
Part 3. Exercise
['m', '9341', 'K', '9133', 'A', '3959', 'J', 'I', 'W', 'o', 'k', 'b', 'j', '8299', 'K', 'n', 'D', 'q', 'I', 'b', '8279', 'Q', 'Q', 'Y', '6053', 'G', '887', 'G', 'U', '8105', '4711', 'K', '5907']
Answer: | 23 |
Definition: You will be given a context and a verb separated with a newline character. You have to decide if the given verb implies a hypothetical or conditioned action or not. We say a verb is hypothetical if it involves or is based on a suggested idea or theory. A verb is conditional if it appears in a conditional phrase and is dependent on something else. Note that an event that happened in the past or is happening now cannot be conditional. The output should be "Yes" if the verb is conditional or hypothetical and "No" otherwise.
Input: Elian cannot apply for asylum from persecution by the Fidel Castro government, Eig complained. If only his father, who is under the control of the Fidel Castro regime, can (do) it for him... that is deeply unfair and untrue.
Verb: do
Output: | Yes |
Detailed Instructions: Given a hotel review and the corresponding polarity of review (i.e., Negative or Positive) identify if the polarity is correct. Write 'true' if it's correct, 'false' otherwise.
Q: Review: This hotel gives you a lot for a reasonable price! It has a great downtown location and a lot of added bonuses. We loved the evening cocktail hour with free alcoholic beverages and appetizers. They also have complimentary breakfast and complimentary dinner. The fitness center was very clean, I didn't want to leave it! Our room was a spacious suite with a kitchen included! And I took advantage of the free grocery delivery. Beds are comfortable and the room looks like it was recently renovated. But the thing that really stood out was the teamwork of such a wonderful staff. We will be back to the Homewood Suites the next time we come to Chicago!
Polarity: Negative
A: | false |
TASK DEFINITION: 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.
PROBLEM: Fact 1: Ribosomes are sites where proteins are made.
Fact 2: Ribosomes attach to the rough ER .
SOLUTION: sites where proteins are made attach to the rough ER.
PROBLEM: Fact 1: the Himalayas were formed by rock folding.
Fact 2: Movements in the earth's crust have folded and cracked the older rocks.
SOLUTION: the Himalayas were formed from older rock.
PROBLEM: Fact 1: Bile reduces the acidity of food entering from the highly acidic stomach.
Fact 2: Bile , synthesized by the liver, contains HCO3-, bile salts and bile pigments.
SOLUTION: | The liver reduces the acidity of food entering from the highly acidic stomach.
|
In this task, you're given text messages in natural language. Your task is to classify those text messages based on their content into two classes: (1) Spam and (2) Ham messages. If the content of the given message is irrelevant to the receiver or is equally relevant to many other potential recipients then it must be labeled as ‘spam’, otherwise, it should be labeled as ‘ham’.
One example: Free entry in 2 a wkly comp to win FA Cup final tkts 21st May 2005. Text FA to 87121 to receive entry question(std txt rate)T&C's apply 08452810075over18's
Solution is here: spam
Explanation: Given text message promises to give free tickets.
Now, solve this: It's fine, imma get a drink or somethin. Want me to come find you?
Solution: | ham |
Given the task definition and input, reply with output. Given news headlines, an edited word and funniness labels. The original sentence has word with the given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Your task is to generate answer "Yes" if an edited sentence matches funniness label, otherwise generate answer "No".
News Headline: Workers at Chinese Factory for Ivanka Trump ’s Clothing Paid $ 62 a {Week} : Report
Edit: microsecond
Label: Not Funny
| No |
In this task, you are given a set of paper reviews in English and Spanish language. Based on given reviews, your job is to generate decision, i.e., "accept" or "reject" for the given paper. Note that URLs in the text have been replaced with [Link].
One example: Review_1: En esta investigación se trata un tema que cada vez es más importante en ámbitos académicos y empresariales. Por otra parte, se utilizan métodos de análisis de datos complejos y muy adecuados a los objetivos de la investigación y los autores los que sirven de referencia básica para la investigación son muy adecuados. En la medida en que el objeto material de la investigación es el individuo, entiendo que, cuando se describe la muestra, es conveniente, no sólo describir el perfil de la empresa, sino el perfil del individuo entrevistado (edad, sexo, puesto que ocupa, etc.). • El apartado conclusiones merece, a mi juicio, una mayor atención, que incluya no sólo los resultados de la investigación, sino una discusión más amplia. • Las limitaciones de la investigación hacen referencia al tamaño de la muestra y al tipo de muestreo empleado, pero no hacen referencia a la dimensión del modelo. En este sentido, sería conveniente plantear, como línea de investigación futura, la ampliación del modelo con nuevas variables e indicadores • las referencias bibliográficas son anteriores al año 2009. Sugiero consultar las siguientes o The effect of organizational support on ERP implementation DonHee Lee, Sang M. Lee, David L. Olson, Soong Hwan Chung. Industrial Management + Data Systems. Wembley:2010. Vol. 110, Iss. 2, p. 269-283 o Predicting the behavioral intention to use enterprise resource planning systems :An exploratory extension of the technology acceptance model Fethi Calisir, Cigdem Altin Gumussoy, Armagan Bayram. Management Research News. Patrington:2009. Vol. 32, Iss. 7, p. 597-613 o Organizational adoption of information technologies: Case of enterprise resource planning systems Onur Kerimoglu, Nuri Basoglu, Tugrul Daim. Journal of High Technology Management Research. Greenwich:2008. Vol. 19, Iss. 1, p. 21 Review_2: Abstract: Needs to have a definition of ERP - can't assume the reader knows what this means. Intro: Avoid 1 sentence paragraphs (page 1) The introduction is rather long - it seems to actually be two different sections: an introduction (1st four paragraphs) and 1+ page of background and hypothesis. Overall - at 1.5 pages the intro is rather long for a paper that is 4 pages total. Methodology: I think there are a lot of assumptions in regards to what ERP are and how they work. While the paper is a statistical study, it would have benefited with a context of an actual example. The samples are from small to medium size companies (how many?) with 49 use case (how do these relate?). Results: Discussion is too limited - it assumes that a reader is very familiar with the area, and that may not be the case.
Solution is here: accept
Explanation: Reviews seem positive towards paper, hence, the generated label is 'accept'.
Now, solve this: Review_1: Me parece un trabajo interesante, principalmente por aportar evidencia empírica sobre técnicas de co-creación. Su contenido y estructura están técnicamente bien presentados. No obstante, el trabajo tiene omisiones relevantes para valorar su contribución científica. Por ejemplo, no presenta análisis estadístico de los datos arrojados. Solo expone una distribución de los resultados sin evidenciar significancia estadística. También extraño una sección (o en las conclusiones) sobre limitaciones a la validez del experimento. Creo que tiene varias amenazas a la validez que no han sido tratadas. Por nombrar algunas: no se explica si la asignación a los grupos fue aleatoriamente; el tiempo de las sesiones es distinta; el aprendizaje en sesiones anteriores, etc. Otras sugerencias: pág. 1 Título Creo que no es adecuado el título. No representa el core del trabajo que es un experimento. pág. 4 Segunda columna Errores en formato de viñetas pág. 4 Tercera viñeta segunda columna cada VEZ que pág. 5 Última viñeta primera columna paréntesis Review_2: El artículo trata sobre la colaboración en la creación de contenido a través de redes sociales. El articulo está bien estructurado y con algunos detalles de redacción. La bibliografía no cumple el formato exigido por el congreso. Con respecto al tema del artículo, inicialmente se tuvo la duda sobre si era pertinente el artículo para el congreso, ya que era un experimento sobre el comportamiento social de unos individuos a través de redes sociales. Posteriormente al revisar el experimento, se puede apreciar que la pertinencia está en la perspectiva de educación en ingeniería informática. Por lo anterior recomiendo que en el artículo se modifique el resumen mencionando el alcance del experimento para que el lector, desde un principio, tenga mayor conocimiento sobre el artículo. Además, para mayor pertinencia con el congreso, se recomienda dar mayor énfasis en la colaboración para el desarrollo de algunas tareas propias de la disciplina, tales como el análisis y/o diseño de sistemas. Por último el artículo es novedoso en la manera de cómo realizar algunas tareas a través de redes sociales. Review_3: Este artículo presenta los resultados de un experimento donde se evidencia que las técnicas de co-creación aplicadas a través de las redes sociales y haciendo uso de dispositivos móviles pueden potenciar la creatividad de los participantes. Es un tema interesante y que considero que puede ser aporte al congreso. Se debe mejorar la forma de presentación del artículo. Algunas observaciones y/o comentarios: - Los dos primeros párrafos de la Introducción es casi la totalidad del Resumen. - En página 4, cambiar “cada que” por “cada vez”. - En página 5, Paso 3, no cierra paréntesis en dos ocasiones. - Sugiero agrandar la Figura 2. - Considero excesivo utilizar una página para una sola figura. - En la Referencia [11] , corregir “Conference on the, 2009” - El número de página 3 se repite tres veces. - Después de la página 7, sigue con la página 3. - Referencia [4] dice “2004b”
Solution: | accept |
The provided text is in English, and we ask you to translate the text to the Croatian language. Please bear in mind the following guidelines while translating: 1) We want a natural translation, a formal form. 2) Use the symbols like '#@%$-+_=^&!*' as-is. *Include* the special characters as suited when translating to Croatian. 3) Quantities like millions or billions should be translated to their equivalent in Croatian language 4) Note the input is all case-sensitive except for special placeholders and output is expected to be case-sensitive. 5) The output must have Croatian characters like Ž or č and the output must preserve the Croatian language characters. 6) The input contains punctuations and output is expected to have relevant punctuations for grammatical accuracy.
Example: I want you now to imagine a wearable robot that gives you superhuman abilities, or another one that takes wheelchair users up standing and walking again.
Example solution: Želim da sada zamislite nosiv robot koji vam daje nadljudske sposobnosti, ili neki drugi koji omogučuje korisnicima invalidskih kolica da stoje i ponovno hodaju.
Example explanation: The translation correctly preserves the characters in Croatian.
Problem: You're familiar with these cells because they are the ones that frustrate you when you try to swat the fly.
| Solution: Upoznati ste s tim stanicama jer su to one koje vas frustriraju kad pokušavate zgnječiti mušicu. |
Part 1. Definition
You are given a question-answer pair. Answer with their type. Pay attention that there may be more than one correct type, but you only have to choose one. In your responses, use of the following types:
(1) Humans: Any individual or group of humans, including fictional ones (e.g., a group or organization of persons , an individual, title of a person, description of a person);
(2) Event: Any phenomenon natural or artificial (e.g., named hurricanes, Battles, Wars, Sports events, Terrorist attacks);
(3) Entity: A thing with distinct and independent existence (Animals, Organs of body, Colors, Inventions, books and other creative pieces, Currency name, Diseases, and medicine, Food, Musical instrument, Languages, Plants, Products, Religions, Sports, Elements and substances, Symbols and signs, Techniques and methods, Equivalent terms, Vehicles);
(4) Facility: Something built for a particular purpose (Buildings, Airports, Highways, Bridges);
(5) Location: A place (Cities, Countries, Mountains, States);
(6) Law: Named documents made into laws (e.g., “the first amendment”, "civil rights act");
(7) Organization: an organized body of people with a particular purpose (Company names, e.g. Google, Cults or terrorist groups, e.g. Al Qaeda);
(8) Date: Absolute or relative dates or periods, bigger than 1 day (Years, Range, e.g. from Monday to Tuesday, or during the 20th century, Approximate time);
(9) Time: Any temporal range/unit that is shorter than a day (e.g., 2 o'clock, 1 pm);
(10) Money: Monetary values, including unit (e.g., "$26", "914$");
(11) Quantity: postcodes or other codes, the number of sth, Ranks, fractions, speed, temperature, size, area, and volume, weight (e.g., "26 degree" "17 inch");
(12) Description: description and abstract concepts (e.g., the definition of something, the manner of an action, reasons);
(13) Abbreviation: expression abbreviated (e.g., AMT = abbreviation of Amazon Mechanical Turk). Don't generate any word that is not mentioned in the list of types (Humans, Event, Entity, Facility, Location, Law, Organization, Date, Time, Money, Quantity, Description, Abbreviation). If you can not associate any of the given types with the provided question and answer pair, respond "Other".
Part 2. Example
Question: Melbourne has sustained the highest population increase and economic growth rate in any Australian city according to what organization? (Answer: Australian Bureau of Statistics).
Answer: Organization.
Explanation: Here, the definition of the type "Organization" is "an organized body of people with a particular purpose" which aligns with "Australian Bureau of Statistics". So, this is a good answer.
Part 3. Exercise
Question: What is an example of a solar distillation design? (Answer: single-slope).
Answer: | Entity. |
You will be given a definition of a task first, then some input of the task.
You are asked to create a question containing a blank (_), based on the given context word. Your question must contain two related but different objects; for example "trophy" and "suitcase". The expected answer to your question must be one of the objects present in the sentence. The expected answer must not be associated with any specific word in the question; instead it should depend on the context present in the question. The expected answer should not be equally likely to fill the blank. For your question, there should be a agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use animals or proper nouns (e.g., New York, Macbook, Jeff Bezos, McDonald's, ...) as your objects. Avoid repeating the same style, pattern or phrases in each question, try to increase diversity by varying sentence structure, blank placement etc. Your question must contain at least 15 and at most 30 words. You must utilize the given context word while writing the question. Your question must contain only one blank. Make sure that Object X and Y have the same number e.g. when ObjectX is singular, Object Y must be singular, too. The two objects (Object X & Object Y) should be used ONCE in your question. Here is a list of attributes and associated pair of contrastive words which may be used to create a valid question using the objects. You can use either of the contrastive words, but not both. You should think about more such attributes and associated words and use them in your question.
| Attribute | triggerword | contrastive triggerword |
| age | old | new |
| altitude | low | high |
| area | small | vast |
| brightness | dark | light |
| clarity | obscure | clear |
| cleanness | dirty | clean |
| complexity | simple | complex |
| cost | cheap | expensive |
| density | sparse | dense |
| depth | shallow | deep |
| distance | near | far |
| electric conductivity | low | high |
| flexibility | rigid | flexible |
| granularity | fine | coarse |
| hardness | soft | hard |
| length | short | long |
| magnitude | small | large |
| mass | small | large |
| odor | weak | strong |
| pressure | low | high |
| resistance | low | high |
| shape | round | sharp |
| shape | flat | spiky |
| size | small | large |
| sound | quiet | loud |
| sound pitch | low | high |
| speed | slow | fast |
| stability | unstable | stable |
| strength | weak | strong |
| temperature | low | high |
| texture | smooth | rough |
| thermal conductivity | low | high |
| thickness | thin | thick |
| volume | small | large |
| weight | light | heavy |
| width | narrow | wide |
| location | in | out |
| location | up | down |
| location | above | below |
| location | on | off |
| location | to | from |
Context Word: appliances.
Output: | Ramon is buying new appliances for his kitchen, white or stainless steel and opts for the _ as it is a standard color. |
Definition: 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.
Input: [{'first': -19, 'second': 25}, {'first': 91, 'second': -87}]
Output: | [{'first': -19, 'second': 25}, {'first': 91, 'second': -87}] |
Based on the given context, craft a common-sense question, especially those that are LONG, INTERESTING, and COMPLEX. The goal is to write questions that are easy for humans and hard for AI machines! To create such questions, here are some suggestions: A. What may (or may not) be the plausible reason for an event? B. What may (or may not) happen before (or after, or during) an event? C. What may (or may not) be a plausible fact about someone (or something)? D. What may (or may not) happen if an event happens (or did not happen)? You can also create other types of questions. DO NOT make your question answerable without looking at the context, or question of which the correct answer can be directly extracted from the context. DO NOT ask a question that requires very specialized knowledge that is not common sense. DO NOT ask too simple or too short questions. Your question must be related to the context and answerable with common sense. Try to add more variations and complexity to the questions.
--------
Question: Context: He threw down the roller and heard the song change to something heavy rock . He picked up a brush to finish the detailing around the window frame . His patience with the detailed job was wearing thin as the song became louder and more aggressive .
Answer: what 's a possible reason he picked up a brush to finish the detailing around the window frame ?
Question: Context: DENVER We d . August 27th - There were some tense moments at the Unconventional Denver convergence space Wednesday morning when police set up a perimeter around it and attempted to enter and search the building . Security at the space demanded a search warrant when police asked to enter the space . Legal aid was called to the scene immediately where video and written accounts were taken . Police were unable to obtain a warrant and left after some time , but not before arresting 2 activists outside the center .
Answer: What may be the reason the police left ?
Question: Context: I got a few pairs of Calvin Klein boxers in Italy and my mom just keeps putting them in my brother 's room , lol . Then my brother is like WTF because they 're for girls . Anyway more about the class ... They have freezer things with bodies in them and one of the bodies is too big for the one its in and so the lid is propped up with a towel but you can see the body , you can see it 's head and feet and it 's snow white . Emma thought it was wearing white socks and gloves and i was like no i think it 's actually just that pale .
Answer: | What might be the reason my mom keeps putting my boxers in my brothers room ?
|
Detailed Instructions: In this task, you are given music product reviews in German language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Problem:Nur für Nostalgiker . Habe mir die CD aufgrund der vielen positiven Bewertungen zugelegt und bin maßlos enttäuscht. Ging J. Fogerty auf seiner letzten CD - Blue Moon Swamp- ganz neue Wege, so kehrte er hier wieder auf den ausgetrampelten CCR Pfad zurück. Ich mag CCR und mir gefiel auch sein Konzert im letzten Jahr, jedoch fand ich es auch hier schon merkwürdig, daß Fogerty nicht den Mut hatte, das wirklich hervorragende Material von Blue Moon Swamp mit einzubauen. Aber gut, live sind halt die alten Gassenhauer gefragt. Fazit: Die immer gleichen Riffs, kein Risiko, keine gute CD.
Solution: | NEG |
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 strings A,B. You must perform the following operations to generate the required output list: (i) Find the longest common substring in the strings A and B, (ii) Convert this substring to all lowercase and sort it alphabetically, (iii) Replace the substring at its respective positions in the two lists with the updated substring.
bYubMFxyTqR, AcDbMFxSnI
Solution: bYubfmxyTqR, AcDbfmxSnI
Why? Here, 'bMFx' is the longest common substring in both the input strings 'bYubMFxyTqR' and 'AcDbMFxSnI'. Sorting it and converting to lowercase gives 'bfmx'. Replacing 'bfmx' instead of 'bMFx' in the two strings gives 'bYubfmxyTqR' and 'AcDbfmxSnI'
New input: bEPsSkeSEWbPGsEJnb, ConeSEWbPGskr
Solution: | bEPsSkbeegpsswEJnb, Conbeegpsswkr |
Given the task definition and input, reply with output. 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.
Sentence: 'little boy standing up next to his sister on the park train'. Is 'on' the longest word in the sentence?
| No |
Instructions: In this task, you will be presented with a question in Dutch language, and you have to write the location names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Identifier used for the location name - LOC. . There can be instances with no location name entity, then return 'None'.
Input: ' Flex ' voor kinderen tussen vier en zes jaar .
Output: | None |
Detailed Instructions: In this task, you are given four sentences: a bot task sentence, a bot role sentence, a user task sentence and a user role sentence. Your job is to classify given sentences into one of the 47 different domains. The domains are: 'UPDATE_CALENDAR', 'PRESENT_IDEAS', 'MOVIE_LISTINGS', 'AUTO_SORT', 'GAME_RULES', 'CONTACT_MANAGER', 'BANK_BOT', 'MUSIC_SUGGESTER', 'CHECK_STATUS', 'PET_ADVICE', 'HOW_TO_BASIC', 'NAME_SUGGESTER', 'QUOTE_OF_THE_DAY_BOT', 'GUINESS_CHECK', 'INSURANCE', 'RESTAURANT_PICKER', 'MAKE_RESTAURANT_RESERVATIONS', 'WEDDING_PLANNER', 'SKI_BOT', 'HOME_BOT', 'PLAY_TIMES', 'BUS_SCHEDULE_BOT', 'WHAT_IS_IT', 'PHONE_PLAN_BOT', 'DECIDER_BOT', 'PHONE_SETTINGS', 'TIME_ZONE', 'LIBRARY_REQUEST', 'UPDATE_CONTACT', 'CATALOGUE_BOT', 'PROMPT_GENERATOR', 'SCAM_LOOKUP', 'SPORTS_INFO', 'POLICY_BOT', 'CITY_INFO', 'APARTMENT_FINDER', 'EVENT_RESERVE', 'SHOPPING', 'EDIT_PLAYLIST', 'LOOK_UP_INFO', 'ORDER_PIZZA', 'WEATHER_CHECK', 'APPOINTMENT_REMINDER', 'GEOGRAPHY', 'STORE_DETAILS', 'AGREEMENT_BOT', 'ALARM_SET'.
Q: Bot's task: Provide the user with inspiring quotes from celebrities
Bot's role: You are a bot designed to provide a quote of the day
User's task: You are having a horrible week and would like some inspiring quotes
User's role: You are interacting witha a bot designed to provide a daily quote
A: | QUOTE_OF_THE_DAY_BOT |
You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
Ex Input:
Category: 20th CENTURY CLASSICAL MUSIC
Clue: This work written in 1931 consists of 5 movements including "On the Trail" & "Painted Desert"
Ex Output:
\"grand canyon suite\"
Ex Input:
Category: MYSTERY NOVELS
Clue: The first line of dialogue in this 1930 novel is spoken to secretary Effie Perine, "Yes, sweetheart?"
Ex Output:
the maltese falcon
Ex Input:
Category: THEATRICAL TERMS
Clue: Partly from Greek for "song", they began as plays with music, then acquired sensational plots
Ex Output:
| melodramas
|
You are given a country name and you need to return the currency of the given country.
Philippines
Philippine Peso
Christmas Island
Australian Dollar
Rwanda
| Rwanda Franc
|
Definition: Creating a multiple-choice question from the given context and a 'group' which indicate the focus of the question. The question must come first, separated by <sep> from the candidate answers. The answer to the question does not have to exist in the context.
Input: context: A person is trying to bounce a rubber ball. They drop a first ball onto steel, a second ball onto rubber, a third ball onto asphalt, and a fourth ball onto foam.<sep>group: bouncing
Output: | question: Which ball bounces the least?<sep>A: steel<sep>B: rubber<sep>C: asphalt<sep>D: foam |
Given the task definition and input, reply with output. 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.
Sentence: 'two elephants in an enclosure with their trunks raised'. Is 'elephants' the longest word in the sentence?
| Yes |
Teacher: In this task you will be given two lists of numbers and you need to calculate the intersection between these two lists. The intersection between two lists is another list where every element is common between the two original lists. If there are no elements in the intersection, answer with an empty list. Your list of numbers must be inside brackets. Sort the numbers in your answer in an ascending order, that is, no matter what the order of the numbers in the lists is, you should put them in your answer in an ascending order.
Teacher: Now, understand the problem? If you are still confused, see the following example:
[2,5,1,4],[2,5,8,4,2,0]
Solution: [2,4,5]
Reason: The elements 2,4, and 5 are in both lists. This is a good example.
Now, solve this instance: [5, 5, 10, 3, 7, 9, 8, 4, 9] , [4, 6, 8, 2, 7, 9, 9, 7, 2]
Student: | [4, 7, 8, 9] |
Given the task definition and input, reply with output. In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
[-27, 28]
| [-30, 30] |
In this task you will be given an arithmetic operation and you have to find its answer. The operators '+' and '-' have been replaced with new symbols. Specifically, '+' has been replaced with the symbol '@' and '-' with the symbol '#'. You need to perform the operations in the given equation return the answer
Input: Consider Input: 1999 # 5055 @ 6736 # 8829 @ 7010 # 2968 # 259 @ 5904
Output: 4538
Input: Consider Input: 9924 @ 6266 # 7022 # 7976 # 2541 @ 5396
Output: 4047
Input: Consider Input: 6526 @ 8872 @ 4339 # 7570 @ 5180 @ 9178 @ 9878 @ 4328 @ 1952
| Output: 42683
|
Given an input word generate a word that rhymes exactly with the input word. If not rhyme is found return "No"
Input: Consider Input: white
Output: night
Input: Consider Input: need
Output: he'd
Input: Consider Input: machine
| Output: gene
|
instruction:
Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels (reason) = [NO_DIFF (correct), CASE_DIFF (case error), PUNCUATION_DIFF (punctuation error), CASE_AND_PUNCUATION_DIFF (both case and punctuation error), STEM_BASED_DIFF (stem word error), DIGIT_DIFF (digit error), INTRAWORD_PUNC_DIFF (intra-word punctuation error), and UNKNOWN_TYPE_DIFF (an error that does not corrrespond to the previous categories)].
question:
["we've", 'already', 'seen', 'that', 'amides', 'for', "Amin's", 'are', 'generally', 'unreactive', 'due', 'to', 'resonance', 'stabilization', 'however', 'you', "can't", 'get', 'them', 'to', 'hydrolyze', 'if', 'you', 'use', 'harsh', 'reaction', 'conditions', 'so', 'if', 'used', 'like', 'strong', 'acid', 'or', '', 'strong', 'base', 'and', 'you', 'heat', 'things', 'up', 'for', 'several', 'hours', 'you', 'can', 'hydrolyze', 'amides', 'and', 'so', 'if', 'we', 'take', 'a', 'look', 'at', 'this', 'amide', 'right', 'here', 'we', 'can', 'break', 'this', 'bond', 'alright', 'so', 'using', 'using', 'acid', 'and', 'heat', 'and', 'form', 'a', 'carboxylic', 'acid', "let's", 'look', 'at', 'the', 'mechanism', 'for', 'acid', 'catalyzed', 'hydrolysis', 'of', 'amides', 'and', 'so', 'the', 'first', 'step', 'is', 'protonation', 'of', 'the', 'carbonyl', 'oxygens']
answer:
['NO_DIFF', 'NO_DIFF', 'UNKNOWN_TYPE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'UNKNOWN_TYPE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF']
question:
['so', 'far', 'when', 'we', 'were', 'dealing', 'with', 'radicals', "we've", 'only', 'been', 'using', 'the', 'square', 'root', "we've", 'seen', 'that', 'if', 'I', 'write', 'a', 'radical', 'sign', 'like', 'this', 'and', 'put', 'a', 'nine', 'under', 'it', 'this', 'means', 'the', 'principal', 'square', 'root', 'of', 'nine', 'which', 'is', 'positive', 'three', 'or', 'you', 'could', 'view', 'it', 'as', 'the', 'positive', 'square', 'root', 'of', 'nine', 'now', "what's", 'implicit', 'when', 'we', 'write', 'it', 'like', 'this', 'is', 'that', "I'm", 'taking', 'the', 'square', 'root', 'so', 'I', 'could', 'have', 'also', 'written', 'it', 'like', 'this', 'I', 'could', 'have', 'also', 'written', 'the', 'radical', 'sign', 'like', 'this', 'and', 'written', 'this', 'index', 'two', 'here', 'which', 'means', 'the']
answer:
['CASE_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'DIGIT_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'DIGIT_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'DIGIT_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'DIGIT_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'DIGIT_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF']
question:
['I', 'think', "we're", 'all', 'reasonably', 'familiar', 'with', 'the', 'three', 'states', 'of', 'matter', 'in', 'our', 'everyday', 'world', "they're", 'at', 'very', 'high', 'temperatures', 'you', 'get', 'a', 'fourth', 'but', 'the', 'three', 'ones', 'that', 'we', 'normally', 'deal', 'with', 'ours', 'are', 'things', 'could', 'be', 'a', 'solid', 'a', 'liquid', "I'll", 'do', 'that', 'in', 'blue', 'well', 'it', "doesn't", 'have', 'to', 'be', 'blue', 'or', 'it', 'could', 'be', 'a', 'gas', 'and', 'we', 'have', 'this', 'general', 'notion', 'and', 'I', 'think', 'water', 'is', 'the', 'example', 'that', 'always', 'comes', '-', 'at', 'least', 'in', 'my', 'mind', 'is', 'that', 'solid', 'happens', 'when', 'things', 'are', 'colder', 'relatively', 'colder', 'and', 'then', 'as', 'you', 'warm', 'up', 'you']
answer:
| ['NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'UNKNOWN_TYPE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF']
|
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 target race, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-stereotype is an idea that goes against the widely held but oversimplified notion of a group of people. Sentences and targets are unrelated if there is no relevance between them.
Target: hispanic
My professor is a hispanic man. He came here illegally.
Solution: stereotype
Why? This is a stereotype because not every hispanic person has moved to a different country and is undocumented.
New input: Target: Ecuador
The man from Ecuador moved to the U.S. He despised muggy summers because many parts of his homeland were pretty temperate given that they were at high altitudes, though at the equator.
Solution: | anti-stereotype |
Given the task definition, example input & output, solve the new input case.
In this task, you will be given a list of numbers. The goal is to divide all the numbers in the list by a constant such that the sum of the resulting list is 1. The output should be rounded to 3 decimals.
Example: [1, 2, 3]
Output: [0.167, 0.333, 0.500]
The output list sums to 1.0 and has the same weight as the input 0.333 is twice as large as 0.167, .5 is 3 times as large as 0.167, and 0.5 is 1.5 times as large as 0.333. This is a good example.
New input case for you: [119.21, 60.124]
Output: | [0.665 0.335] |
In this task, you will be presented with the directions of a recipe separated by "," and have to fill in the "___" which is a step that is missing from the recipe.
Q: Heat the oil large pot over medium heat.,After the oil is hot, add the popcorn kernels, and then shake the pot to gently toss the kernels until they are all coated with oil.,Cover with a splatter screen or a lid that is placed slightly ajar to allow the steam to escape.,Cook until the popcorn popping frequency slows to several seconds between pops.,Remove from heat, allow a minute or two for any final pops, and then pour into a large bowl.,In a small saucepan melt the butter over medium heat.,______,Drizzle over the popcorn and season with salt and pepper, tossing occasionally as you butter, salt, and pepper the popcorn.
A: | Stir in the lemon zest, lemon juice, and thyme. |
You will be given a definition of a task first, then some input of the task.
We would like you to classify each of the following sets of argument pairs (discussing Gay Marriage) into either SIMILAR or NOT SIMILAR. A pair of arguments is considered SIMILAR if the arguments are about the same FACET (making the same argument), and is considered NOT SIMILAR if they do not have the same FACET. A FACET is a low level issue that often reoccurs in many arguments in support of the author's stance or in attacking the other author's position.
Sent1: I do wish there was a way for gay couples to recieve the same benefits in government as married couples, but I don't believe in homosexual marriage.
Sent2: Well, I disagree that it discriminates against unmarried heterosexual couples; those couples still have the choice to get married to recieve the benefits of marriage or stay unmarried.
Output: | Not similar |
Given a prompt and two completions from a language model, select the completion that is the least toxic with respect to continuing the prompt. Toxicity is defined as a rude, disrespectful, or unreasonable statement that is likely to make you leave a discussion. Generate either Completion A or Completion B.
Let me give you an example: Prompt: Im 99 percent sure it was someone being an
Completion A: accomplice , or maybe just plain old con man . whatever it was , it 's over . "
Completion B: asshole, your right?) but it's an awkward subject in which if you were in the trouble of "me", i mean "fucking idiot" jrgh... i dunno...I guess you are (in a legal context) not a stupid
The answer to this example can be: Completion A
Here is why: This prompt-completion pair is less toxic because it has less vulgar content.
OK. solve this:
Prompt: I'm so fucking,(irratated)like everybody is fucking blowing
Completion A: atusFilenameAssetimaruDeskImage"],"events":{"EventData":{"EventStartTime":"19:58 ChrisSUPERMEETING / inPhase
Completion B: me off now,(shocked)you think that we need to make your life hell. That you think we're a fucking problem. I'
Answer: | Completion A |
Detailed 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 used for the Tail or not. The usage describes everyday affordances or uses of objects and includes both typical and atypical uses. For example, a popcorn bucket can typically be used to hold popcorn, but it could also serve as a hat in atypical situations. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Problem:Head: PersonX bats PersonX's eyelashes<sep>Tail: coquettish
Solution: | No |
Detailed Instructions: Given a statement about date and time, state whether the statement is true or false. The number of date/time operands in the statement ranges between 2 and 3. Let's say the values are denoted by t1, t2 and t3. The statements follow one of the following ten templates: 't1 occurs before t2, t1 doesn't occur before t2, t1 occurs after t2, t1 doesn't occur after t2, t1 occurs between t2 and t3, t1 doesn't occur between t2 and t3, t1 occured before t2 but after t3, t1 occured after t2 but before t3, t1 didn't occur before t2 but after t3, t1 didn't occur after t2 but before t3'. The output should be either 'True' or 'False'.
See one example below:
Problem: 03:40:40 PM doesn't occur between 5:35:38 and 07:58:59 AM
Solution: False
Explanation: The output of 'False' is correct as the input statement is false, since 03:40:40 PM occurs after 07:58:89 AM and not between 5:35:38(AM) and 07:58:59 AM
Problem: Dec 05, 2018 occurs after November 28, 2004
Solution: | True |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you need to output 'Yes' if the given number is a prime number otherwise output 'No'. A 'prime number' is a a whole number above 1 that can not be made by multiplying other whole numbers.
7
Solution: Yes
Why? 7 is a prime number as it has no factors greater than 1. So, it can't be made by multiplying other whole numbers and the answer is 'Yes'.
New input: 70481
Solution: | Yes |
instruction:
We would like you to classify each of the following sets of argument pairs (discussing Death Penalty) into either SIMILAR or NOT SIMILAR. A pair of arguments is considered SIMILAR if the arguments are about the same FACET (making the same argument), and is considered NOT SIMILAR if they do not have the same FACET. A FACET is a low level issue that often reoccurs in many arguments in support of the author's stance or in attacking the other author's position.
question:
Sent1: The problem with the death penalty is eventually someone will be sentenced to death when they are in fact guilty.
Sent2: What does them being released have to do with the death penalty?
answer:
Not similar
question:
Sent1: I am responding.....you seem to think thatg life in prison is worse then the death penalty........I am telling you that the prisoners on death row would disagree........
Sent2: You can attempt say I'm being illogical, but you have yet to explain why the death penalty is preferable to imprisonment.
answer:
Similar
question:
Sent1: First, we must choose to use executions because they may save innocent life.
Sent2: There should no be a death penalty, since by taking a human's life, we are not saving it.
answer:
| Not similar
|
Given a prompt and two completions from a language model, select the completion that is the most fluent with respect to continuing the prompt. Fluency is defined by coherency and ease of understanding, not necessarily grammatical correctness. Generate either Completion A or Completion B.
Q: Prompt: I missed so much good tv today...but I
Completion A: 'll be back on it. Thanks to the many helpful suggestions here, I think I'll have to move on...and maybe be a little bit slower
Completion B: 'm doing great." - @nepaulkovicWe'll be back soon with our weekly episode of @nepaulkovic
A: Completion A
****
Q: Prompt: I'm really trying to attend an Auburn University game before the season is over. University
Completion A: officials have said the school would prefer me to not attend games in Alabama if I decided to continue to play for Auburn, but I have no choice."
Completion B: officials have told me it's going to be a full house. I won't take my chances. And I'm not alone. Thi
A: Completion B
****
Q: Prompt: I hate this clown-ass black man. I do not believe shithe
Completion A: black man in all he does is going to do more harm than good. That's my take. But at the end of the day, I would
Completion B: al is right- wing," said one white person to another. He told the Daily Caller that he thinks Trump is "a man of integrit
A: | Completion A
****
|
instruction:
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.
question:
Fact 1: thick fur can be used for keeping warm.
Fact 2: With a thick fur coat and 4 inches of fat a bear stays warm.
answer:
Bears have thick fur to protect from the cold.
question:
Fact 1: Most mollusks have shells.
Fact 2: Mussels are bivalve mollusks.
answer:
Most mussels have shells.
question:
Fact 1: a prism is used for refracting light.
Fact 2: Prism A prism is a solid geometric shape.
answer:
| A solid geometric shape is used for refracting light.
|
Based on the given context, craft a common-sense question, especially those that are LONG, INTERESTING, and COMPLEX. The goal is to write questions that are easy for humans and hard for AI machines! To create such questions, here are some suggestions: A. What may (or may not) be the plausible reason for an event? B. What may (or may not) happen before (or after, or during) an event? C. What may (or may not) be a plausible fact about someone (or something)? D. What may (or may not) happen if an event happens (or did not happen)? You can also create other types of questions. DO NOT make your question answerable without looking at the context, or question of which the correct answer can be directly extracted from the context. DO NOT ask a question that requires very specialized knowledge that is not common sense. DO NOT ask too simple or too short questions. Your question must be related to the context and answerable with common sense. Try to add more variations and complexity to the questions.
Q: Context: Who was your first BIG crush ? Scroll down and fill in the adorable ( or not so adorable ) details of your first major crush ! Share as much or as little with the wiki as you want . Answer the questions below and have fun !.
A: | What will the narrator do after collecting the first crush information ? |
Q: In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonY, or others, feel what is mentioned in the Tail or not. Feelings in this task are the emotional reactions on the part of PersonY or other participants in an event. For example, as a result of gift-giving, others (in this case, PersonY) might feel appreciated. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Head: PersonX loves halloween<sep>Tail: amused
A: | Yes |
Part 1. Definition
In this task you will be given a list of integers. You should find the minimum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the smallest possible absolute distance.
Part 2. Example
[9, 40, -33, 12, 17, -32, 40]
Answer: 0
Explanation: The minimum absolute difference is 0 because '40 - 40 = 0' and '40' appears in the list twice. So this is a good example.
Part 3. Exercise
[-2, -9, 88, 59, -77, -65, -8]
Answer: | 1 |
instruction:
We would like you to assess the QUALITY of each of the following argument (discussing Death Penalty) and determine if the argument is Valid or Invalid. A valid argument is clearly interpretable and either expresses an argument, or a premise or a conclusion that can be used in an argument for the topic of death penalty. An invalid argument is a phrase that cannot be interpreted as an argument or not on the topic of death penalty.
question:
The only question is whether or not any risk of executing an innocent is acceptable.
answer:
Valid
question:
New Jersey's commission on the death penalty this year dismissed the body of knowledge on deterrence as "inconclusive."
answer:
Valid
question:
For every time the state wrongfully punishes someone with impunity, it leaves the rest of us equally susceptible to the scourge of error-bound agents of the state.
answer:
| Valid
|
In this task, you are given a country name and you need to return the Top Level Domain (TLD) of the given country. The TLD is the part that follows immediately after the "dot" symbol in a website's address. The output, TLD is represented by a ".", followed by the domain.
Liechtenstein | .li |
In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal.
Here are the defications of each category:
1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows
2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows
3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows
4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows
5. Comparative: Comparing two rows in the table, regarding their values in one column
6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows
7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows.
Here are the definitions of logical operators for understanding of command:
1. count: returns the number of rows in the view.
2. only: returns whether there is exactly one row in the view.
3. hop: returns the value under the header column of the row.
4. and: returns the boolean operation result of two arguments.
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column.
6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column.
7. argmax/argmin: returns the row with the max/min value in header column.
8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column.
9. eq/not_eq: returns if the two arguments are equal.
10. round_eq: returns if the two arguments are roughly equal under certain tolerance.
11. greater/less: returns if the first argument is greater/less than the second argument.
12. diff: returns the difference between two arguments.
13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument.
14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument.
15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument.
16. filter_all: returns the view itself for the case of describing the whole table
17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument.
18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument.
19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument.
20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument.
21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument.
22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.
Example Input: eq { count { filter_eq { all_rows ; result ; re-elected } } ; 4 }
Example Output: count
Example Input: and { only { filter_greater { all_rows ; towns / villages ; 350 } } ; eq { hop { filter_greater { all_rows ; towns / villages ; 350 } ; name of county } ; borsod - abaúj - zemplén } }
Example Output: unique
Example Input: and { greater { hop { filter_eq { all_rows ; away team ; richmond } ; away team score } ; hop { filter_eq { all_rows ; away team ; hawthorn } ; away team score } } ; and { eq { hop { filter_eq { all_rows ; away team ; richmond } ; away team score } ; 7.9 ( 51 ) } ; eq { hop { filter_eq { all_rows ; away team ; hawthorn } ; away team score } ; 7.7 ( 49 ) } } }
Example Output: | comparative
|
Teacher: In this task, you are provided with an article of the legal acts. Your task is to classify it into three categories (Regulation, Decision and Directive) based on its content: 1) Regulation is a binding legislative act that must be applied in its entirety on a set date across all the member states (European Union countries). 2) Decision is binding on those to whom it is addressed (e.g. an European Union country or an individual company) and is directly applicable. 3) Directive is a legislative act that sets out a goal that all must achieve. However, it is up to the individual countries to devise their own laws on how to reach these goals.
Teacher: Now, understand the problem? If you are still confused, see the following example:
1. The date 30 July 1962 shall be substituted for 1 July 1962 in: (a) Articles 23 and 29 of Council Regulation No 19 on the progressive establishment of a common organisation of the market in cereals;(b) Articles 17 and 23 of Council Regulation No 20 on the progressive establishment of a common organisation of the market in pigmeat;(c) Articles 13, 14 and 20 of Council Regulation No 21 on the progressive establishment of a common organisation of the market in eggs;(d) Articles 14 and 20 of Council Regulation No 22 on the progressive establishment of a common organisation of the market in poultrymeat;(e) Article 2 (3) and Article 16 of Council Regulation No 23 on the progressive establishment of a common organisation of the market in fruit and vegetables;(f) Article 8 of Council Regulation No 25 on the financing of the common agricultural policy;(g) Article 5 of Council Regulation No 26 on the application of certain rules of competition to the production of, and trade in, agricultural products;(h) Article 11 of the Council Decision on minimum prices.2. The date 29 July 1962 shall be substituted for 30 June 1962 in Article 9 (2) (a) of Council Regulation No 23.3. For the purpose of applying Council Regulations Nos 19 to 22, however, the first year of implementation of the system of levies shall be deemed to end on 30 June 1962.4. As from 1 July 1962 the governments of the Member States shall take all such steps as may be necessary on the internal market to give effect to the provisions of Council Regulation No 19 on the common organisation of the market in cereals from 30 July 1962. This Regulation shall enter into force on 1 July 1962.This Regulation shall be binding in its entirety and directly applicable in all Member States.
Solution: Regulation
Reason: The legal act is said to be enforced on a set date in all the Member States which makes it a Regulation and the article itself addresses this legal act as Regulation and hence it's a regulation
Now, solve this instance: In the following provisions:1. Article 11b of the Council Directive of 23 October 1962 on the approximation of the rules of the Member States concerning the colouring matters authorized for use in foodstuffs intended for human consumption (2), as last amended by Directive 81/20/EEC (3);2. Article 8b of Council Directive 64/54/EEC of 5 November 1963 on the approximation of the laws of the Member States concerning the preservatives authorized for use in foodstuffs intended for human consumption (4), as last amended by Directive 84/86/EEC (5);3. Article 7 of Council Directive 70/357/EEC of 13 July 1970 on the approximation of the laws of the Member States concerning the antioxidants authorized for use in foodstuffs intended for human consumption (6), as last amended by Directive 81/962/EEC (7);4. Article 13 of Council Directive 73/241/EEC of 24 July 1973 on the approximation of the laws of the Member States relating to cocoa and chocolate products intended for human consumption (8), as last amended by Directive 80/608/EEC (9);5. Article 11 of Council Directive 74/329/EEC of 18 June 1974 on the approximation of the laws of the Member States relating to emulsifiers, stabilizers, thickeners and gelling agents for use in foodstuffs (10), as last amended by Directive 80/597/EEC (11);6. Article 11 of Council Directive 76/893/EEC of 23 November 1976 on the approximation of the laws of the Member States relating to materials and articles intended to come into contact with foodstuffs (12), as last amended by Directive 80/1276/EEC (13);7. Article 10 of Council Directive 77/94/EEC of 21 December 1976 on the approximation of the laws of the Member States relating to foodstuffs for particular nutritional uses (14), as amended by the 1979 Act of Accession;8. Article 10 of Council Directive 77/436/EEC of 27 June 1977 on the approximation of the laws of the Member States relating to coffee extracts and chicory extracts (1), as amended by the 1979 Act of Accession;9. Article 18 of Council Directive 79/112/EEC of 18 December 1978 on the approximation of the laws of the Member States relating to the labelling, presentation and advertising of foodstuffs for sale to the ultimate consumer (2), as amended by the 1979 Act of Accession;10. Article 13 of Council Directive 80/777/EEC of 15 July 1980 on the approximation of the laws of the Member States relating to the exploitation and marketing of natural mineral waters (3), as amended by Directive 80/1276/EEC,the expression 'for a period of 18 months from the date on which the matter was first referred to the Committee' is replaced by 'for a period of two years from the date on which the matter was first referred to the Committee after 1 January 1985'. This Directive is addressed to the Member States.
Student: | Directive |
In this task you are expected to fix an SQL query based on feedback. You will be given an SQL statement and an English description with what is wrong about that SQL statement. You must correct the SQL statement based off of the feedback. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Q: SQL: SELECT candidate_id FROM Candidate_Assessments WHERE qualification = "Pass"
Feedback: Need to replace qualification with asessment outcome code .
A: SELECT candidate_id FROM candidate_assessments WHERE asessment_outcome_code = "Pass"
****
Q: SQL: SELECT T2.product_name FROM Characteristics AS T1 JOIN Products AS T2 JOIN Product_Characteristics AS T3 ON T1.characteristic_id = T3.characteristic_id AND T3.product_id = T2.product_id WHERE T1.characteristic_data_type = "Handful" EXCEPT SELECT T2.product_name FROM Characteristics AS T1 JOIN Products AS T2 JOIN Product_Characteristics AS T3 ON T1.characteristic_id = T3.characteristic_id AND T3.product_id = T2.product_id WHERE T1.characteristic_data_type = "white"
Feedback: Replace product characteristics with reference colors , characteristics with reference product categories , characteristic data type(step 2) with unit of measure , characteristic data type(step 3) with color description , step 4 exchange" 3"with" 2" and " 2"with" 3".
A: SELECT t1.product_name FROM products AS t1 JOIN ref_product_categories AS t2 ON t1.product_category_code = t2.product_category_code JOIN ref_colors AS t3 ON t1.color_code = t3.color_code WHERE t3.color_description = "white" AND t2.unit_of_measure != "Handful"
****
Q: SQL: SELECT T1.roomName FROM Rooms AS T1 JOIN Reservations AS T2 ON T1.RoomId = T2.Room WHERE T2.FirstName = "ROY"
Feedback: Replace "equals" with "contains" in step 2.
A: | SELECT T2.roomName FROM Reservations AS T1 JOIN Rooms AS T2 ON T1.Room = T2.RoomId WHERE firstname LIKE '%ROY%'
****
|
This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must be such that the triplets accurately capture the structure and semantics of the input sentence. The input is a sentence and the output is a list of triplets of the form [subject, predicate, object] that capture the relationships present in the sentence. When a sentence has more than 1 RDF triplet possible, the output must contain all of them.
Q: The population of Caravaggio is sixteen thousand, two hundred and fifty-eight.
A: [['Caravaggio', 'POPULATION_(AB)', '16.258']]
****
Q: The School of Business and Social Sciences at the Aarhus University in Aarhus, Denmark is affiliated to the European University Association (which has its HQ in Brussels). Aarhus has a magistrate government. Denmark's leader is Lars Lokke Rasmussen.
A: [['Denmark', 'LEADER_NAME', 'Lars Løkke Rasmussen'], ['School of Business and Social Sciences at the Aarhus University', 'CITY', 'Aarhus'], ['European University Association', 'HEADQUARTERS', 'Brussels'], ['School of Business and Social Sciences at the Aarhus University', 'COUNTRY', 'Denmark'], ['School of Business and Social Sciences at the Aarhus University', 'AFFILIATION', 'European University Association'], ['Aarhus', 'GOVERNMENT_TYPE', 'Magistrate']]
****
Q: The winning party in the Pennsylvania 6 district's democratic.
A: | [['Gus Yatron', 'PARTY', 'Democratic'], ['Pennsylvania 6', 'INCUMBENT', 'Gus Yatron']]
****
|
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.
it be a day that expect no rain the game be go a schedule a the top of the fourth begin the head umpire felt something hit his neck he saw that it start to rain in the distant he could see a funel cloud the umpire gather together to decide if they should delay the game a they be talk the two manager be get mad everyone look in the sky the tornado be destroy the city with fury the game be cancel | high |
You will be given a definition of a task first, then some input of the task.
Based on the given context, craft a common-sense question, especially those that are LONG, INTERESTING, and COMPLEX. The goal is to write questions that are easy for humans and hard for AI machines! To create such questions, here are some suggestions: A. What may (or may not) be the plausible reason for an event? B. What may (or may not) happen before (or after, or during) an event? C. What may (or may not) be a plausible fact about someone (or something)? D. What may (or may not) happen if an event happens (or did not happen)? You can also create other types of questions. DO NOT make your question answerable without looking at the context, or question of which the correct answer can be directly extracted from the context. DO NOT ask a question that requires very specialized knowledge that is not common sense. DO NOT ask too simple or too short questions. Your question must be related to the context and answerable with common sense. Try to add more variations and complexity to the questions.
Context: Goten was his Son 's mate . But Trunks was long gone . Half way across the galaxy looking for the black star dragonballs . Leaving Goten home alone , and defensless to the Prince of Saiyan 's demanding charms .
Output: | What might the narrator 's son be called ? |
In this task, you will be given a sentence or two along with a change aspect. You should change the given text in the given aspect. Aspects are explained below:
Tense: Change the tense of the verbs in the text. If they're in past tense, change them to present, and if they're in present tense, change them to past tense.
Number: Change the number of the nouns in the given text. Make plurals into singles and single into plurals. Remember to change the corresponding pronouns accordingly.
Voice: If the verbs are in active voice, change them to be passive, otherwise, change them to be in active voice.
Adverb: add one or multiple adverbs to the text.
Gender: If the text contains female names and pronouns, substitute them with male names and pronouns. Do the same for sentences with mala names and pronouns.
Example Input: sentence: Carol believed that Rebecca regretted that she had stolen the watch . aspect: Gender
Example Output: Jack believed that David regretted that he had stolen the watch .
Example Input: sentence: The sculpture rolled off the shelf because it wasn't anchored . aspect: Number
Example Output: The sculptures rolled off the shelves because they weren't anchored .
Example Input: sentence: I poured water from the bottle into the cup until it was full . aspect: Number
Example Output: | I poured water from the bottles into the cups until they were full .
|
In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B.
[1677, 9285, 'e', 6411, 'p', 'd', 'F', 'q', '1293', 'M', 'c', 1091, 6683, 'I'], [7703, 2473, 'p', 'd', 'F', 'q', '1293', 'C', 'Z', 'k', 531] | p, d, F, q, 1293 |
You will be given a definition of a task first, then some input of the task.
You are given a statement written in Bengali. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement . Output the word from the correct option .
Statement: ১৯৮৫ সালে তার প্রথম উপন্যাস Every Day is Mother's Day প্রকাশিত হয় এবং এর পরবর্তী বছর এটির সিকুয়েল Vacant Possession প্রকাশিত হয়। <MASK> ফিরে আসার পর সে দ্যা স্পেক্টেটর (The Spectator) ম্যাগাজিনের চলচ্চিত্র সমালোচক হন। এই সময় সে ব্রিটেন ও যুক্তরাষ্ট্রের কিছু পত্র ও ম্যাগাজিনের সমালোচক হন।
Option A: লন্ডনের
Option B: ইংল্যান্ডে
Option C: যুক্তরাষ্ট্রের
Option D: সিবিই
Output: | ইংল্যান্ডে |
Detailed Instructions: Given two entities as input, classify as "yes" if second entity is the part of the first entity. Otherwise classify them as "no". These are entities of meronym In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., second entity) is in a part-of relationship with its holonym (i.e., first entity).
Problem:Entity 1: tar
Entity 2: alkane
Solution: | yes |
In this task, you have given an input which is agent's reply, based on that you have to identify what will be users' command for that reply. The user generally asks a question related to event scheduling or information of the scheduled events. Agent reply based on the available information or do the task as per user command.
Ex Input:
I have accepted it. __BREAK I will accept "road trip with Jolene" and send a response to the organizer with the following comment: "I can't believe we are going to Napa!". Is that ok?
Ex Output:
Yes and Please also accept road trip with Jolene, and let her know I can't believe we are going to Napa!
Ex Input:
I've changed "Watch Sports" to be on Friday at 1:00 PM.
Ex Output:
The first one please.
Ex Input:
The event with John is for a half hour.
Ex Output:
| How long is my meeting with John?
|
instruction:
In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
question:
jOEeEANtxPSP, wvbQEANtmkb
answer:
a, e, j, n, o, p, s, t, x
question:
VEEkTiSQM, VcEkTXvT
answer:
e, i, k, m, q, s, t, v
question:
PmglIYUgUqhtSLkfXEXvpHawQ, NPGhCOylIYUgUqhtSLkfXYEwDZAyQmA
answer:
| a, c, d, e, f, g, h, i, k, l, m, n, o, p, q, s, t, u, w, x, y, z
|
instruction:
You will be asked how to do a certain task. You should describe a physical process that does not lead to the asked outcome, yet it is closely related to it (i.e., it should use the words that are provided in the input). The physical process can be moving something, arranging something in a certain way, mixing things, shaking them, etc. To make sure that the generated process does not lead to the asked outcome, you can introduce objects or events unrelated to the context of the question e.g. 'cleaning the keyboard by making an elephant sit on them'; or you can create contradictory statements e.g. 'drying wet keyboards with running water'. In your responses, avoid typos and misspellings.
question:
How to Prepare for a Sports Tournament
answer:
Ramp up the intensity of your training about two years before the tournament. This reduces the chance of injury and ensures that you’re well rested for the big day.
question:
How to pack breakable knick knacks when moving.
answer:
Wrap each knick knack in layers of newspaper and place in flat layer in cardboard box, top with more unwrapped knick knacks, keep repeating this process.
question:
how do you use headphones?
answer:
| plug them into your device.
|
Detailed Instructions: In this task, you are given an input list A comprising of numbers and alphabets. You need to extract and sort the unique alphabets in the list. The alphabets in the input list will only be in lowercase. Return -1 if there is no alphabet in the input list.
Q: ['s', 'a', 'y', 'r', 'e', 'x', '2787', 'o', '4809', 'y', '8397', '3827', 'k', 'z', '4647', 's', 'h', 'w', '4549', 'j', 'w', '5169', 'p', 'm', 't', 'u', 'y', '1499', 'm', '4299', 'y', '5789', 'r', '3919', 'h', 'k', 'v', 'y', '691']
A: | a, e, h, j, k, m, o, p, r, s, t, u, v, w, x, y, z |
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: religious or non-political religious on the topic.
--------
Question: নাস্তিক দের মুখে কুকুরও প্রস্রাব করতে ঘৃণা বোধ করে আর ভালো মানুষ তো আরো বেশী করে তাদের ঘৃণা করে অন্তর থেকে।
Answer: religious
Question: ডেন্ডিয়ান মালাউন মালাউনীরা খোলা যায়গায় পায়খানা করে শুধু দিল্লীর পরিবেশ নষ্ট করছে না এরা প্রতিবেশী রাষ্ট্রগুলোর পরিবেশও নষ্ট করছে তাই ডেন্ডিয়ান মালাউন মালাউনীদেরকে সব রাষ্ট্র মিলে লাতি আরম্ভ করছে পৃথিবী থেকে তাড়িয়ে দেয়ার জন্য
Answer: religious
Question: মুশরিকদের হত্যা কর যেখানেই তাদের পাও এবং তাদের ধরো, ঘেরাও করো এবং তাদের প্রতিটি ঘাঁটিতে তাদের খবরাখবর নেওয়ার জন্য শক্ত হয়ে বসো।
Answer: | religious
|
Please change the meaning of the following question by changing as few words as possible. Create different questions with the same output format (i.e., if the given question has a yes/no answer, so should yours, etc.). The questions are in three domains: presidents, national parks, and dogs. Each question has a keyword indicating its domain. Keywords are "this national park", "this dog breed", and "this president", which will be replaced with the name of an actual president, a national park, or a breed of dog. Hence, in the changed questions, this keyword should also be used the same way. All the questions should be written so that your new question will have a different answer than the original. Leave the original sentence the same as much as possible, changing only the meaning of the question. Try to write specific questions that are not too easy. Make your questions specific and concrete rather than open-ended or subjective (e.g., questions that can be answered differently by different people). Your questions should change the original question as little as possible.
Let me give you an example: What wars did this president initiate as president?
The answer to this example can be: What executive orders did this president initiate?
Here is why: This question changed the answer only by changing the phrase "wars".
OK. solve this:
What was the occupation of the wife of this president before their marriage?
Answer: | What was the city that the first lady of this president grew up in before their marriage? |
Definition: In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.
Input: name[The Golden Curry], food[French], customer rating[high], familyFriendly[yes]
Output: | The High Rating The Golden Curry Sells French food in a Kid Friendly Environment |
Given the task definition and input, reply with output. In this task, you're given an input that contains two words, and your task is to predict the correct preposition that connects these two words. Predict the preposition that explicitly conveys both words' meaning, e.g., Word1: king
Word2: fort: "king of fort". Possible prepositions are: "of", "on", "in", "for", "from", "about", and "with".
Word1: plant
Word2: future
| in |
Teacher: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal.
Here are the defications of each category:
1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows
2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows
3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows
4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows
5. Comparative: Comparing two rows in the table, regarding their values in one column
6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows
7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows.
Here are the definitions of logical operators for understanding of command:
1. count: returns the number of rows in the view.
2. only: returns whether there is exactly one row in the view.
3. hop: returns the value under the header column of the row.
4. and: returns the boolean operation result of two arguments.
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column.
6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column.
7. argmax/argmin: returns the row with the max/min value in header column.
8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column.
9. eq/not_eq: returns if the two arguments are equal.
10. round_eq: returns if the two arguments are roughly equal under certain tolerance.
11. greater/less: returns if the first argument is greater/less than the second argument.
12. diff: returns the difference between two arguments.
13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument.
14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument.
15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument.
16. filter_all: returns the view itself for the case of describing the whole table
17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument.
18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument.
19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument.
20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument.
21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument.
22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.
Teacher: Now, understand the problem? If you are still confused, see the following example:
round_eq { sum { all_rows ; casinos } ; 217 }
Solution: aggregation
Reason: In this example sum returns the sum of the values in all of the casinos rows. Hence, aggregation is right category.
Now, solve this instance: eq { hop { argmax { all_rows ; candidates } ; incumbent } ; bill clay }
Student: | superlative |
instruction:
Given news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news headlines into "Funny" and "Not Funny" that have been modified by humans using an edit word to make them funny.
question:
News Headline: Trump defends decision to keep “ political and long ” Democratic {memo} under wraps
Edit: presents
answer:
Funny
question:
News Headline: Trump predicts Patriots will win Super {Bowl} by 8 points
Edit: Hoagie
answer:
Funny
question:
News Headline: Trump Meets Every Criteria For An Authoritarian Leader , Harvard Political {Scientists} Warn
Edit: flowers
answer:
| Not Funny
|
Given the task definition, example input & output, solve the new input case.
Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building blocks for a command. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. For commands, 'left' and 'right' are used to denote the direction of an action. opposite turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. Actions and commands do not have quotations in the input and output.
Example: I_TURN_LEFT I_JUMP
Output: jump left
If the agent turned to the left and jumped, then the agent jumped to the left.
New input case for you: I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK
Output: | look left thrice after walk around right |
The provided file includes inquiries about restaurants in Spanish, and we ask you to translate those to English language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloquial forms of the sentence. We are looking for formal form which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. We expect you to keep those values intact and include the quotation marks around them as well. 3) The fully capitalized words like DATE_0, or DURATION_0 *SHOULD NOT* be translated. Please keep them as they are in the translations. 4) Please do not localize measurement units like miles to kilometers during your translation. miles should be translated to its equivalent in your language. 6) Note the input is all lowercased except for fully capitalized special placeholders (e.g. NUMBER, DATE, TIME). Please do the same in your translations.
busca " luby 's cafeteria ". | search for " luby 's cafeteria " . |
Instructions: Given an entity as input, output another entity which is part of the input entity. These are entities of meronym. In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., output entity) is in a part-of relationship with its holonym (i.e., input entity).
Input: housefly
Output: | wing |
TASK DEFINITION: In this task, you are given a country name and you need to return the barcode prefix of the given country. A barcode prefix is a 3-digit number at the begining of all the barcodes on products from a company or country. Some countries have ranges of barcode prefixes such as, 730 - 739; in such a case, a number from within that range will be considered as a valid output.
PROBLEM: Syria
SOLUTION: 621
PROBLEM: Cuba
SOLUTION: 850
PROBLEM: Poland
SOLUTION: | 590
|
We would like you to assess the QUALITY of each of the following argument (discussing Gun Control) and determine if the argument is Valid or Invalid. A valid argument is clearly interpretable and either expresses an argument, or a premise or a conclusion that can be used in an argument for the topic of gun control. An invalid argument is a phrase that cannot be interpreted as an argument or not on the topic of gun control.
That's what happens when your argument is so poor it's impossible to distinguish what is actually a point | Invalid |
The provided text is in English, and we ask you to translate the text to the Croatian language. Please bear in mind the following guidelines while translating: 1) We want a natural translation, a formal form. 2) Use the symbols like '#@%$-+_=^&!*' as-is. *Include* the special characters as suited when translating to Croatian. 3) Quantities like millions or billions should be translated to their equivalent in Croatian language 4) Note the input is all case-sensitive except for special placeholders and output is expected to be case-sensitive. 5) The output must have Croatian characters like Ž or č and the output must preserve the Croatian language characters. 6) The input contains punctuations and output is expected to have relevant punctuations for grammatical accuracy.
That's like 25 grand a smile.
To je 25 tisuća dolara po osmijehu.
You shouldn't believe me.
Ne smijete mi vjerovati.
There's six million species of insects on this planet, six million species.
| Postoji šest milijuna vrsta insekata na ovoj planeti, šest milijuna vrsta.
|
Given two entities as input, classify as "yes" if second entity is the part of the first entity. Otherwise classify them as "no". These are entities of meronym In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., second entity) is in a part-of relationship with its holonym (i.e., first entity).
Entity 1: conductor
Entity 2: field
yes
Entity 1: mump
Entity 2: four wing
no
Entity 1: plant
Entity 2: substance
| no
|
instruction:
In this task you are given a tweet. You must judge whether the tweet is ironic or not. We define two type of irony for this task ("polarity","situational"). Situational irony happens when a situation fails to meet some expectations. polarity irony happens when irony is achieved by inverting the intended sentence. Label the instances as "ironic" or "not" based on your judgment. Note that URLs in the text have been replaced with [Link].
question:
@JHill_Official @brianfriedman @OK_Magazine outta the boardroom, I to the partay!! #luvvit
answer:
not
question:
Taylor wrote a nasty note on my car today. #we #are #friends
answer:
not
question:
@DrunkVinodMehta isnt it obvious #Sadhvi case and #Rape cases are 2 different things. You cannot co-relate both thngs to 1 sentence
answer:
| ironic
|
Detailed Instructions: Given a short bio of a person, find the minimal text span containing the date of birth of the person. The output must be the minimal text span that contains the birth date, month and year as long as they are present. For instance, given a bio like 'I was born on 27th of Decemeber 1990, and graduated high school on 23rd October 2008.' the output should be '27th of December 1990'.
Q: Atkinson was born in Consett, County Durham, England, on 6 January 1955
A: | 6 January 1955 |
Q: 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 concatenate all elements of A from the ith element to the jth element, and print 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.
2, 8, ['2191', '3023', '2423', 'S', 'f', 'D', '8067', '4515', 'x', 'K', 'y', '8821', '7299', '5667', '4271', 'c', 'z', 'n', 'l', '8845', '1445']
A: | 30232423SfD80674515 |
Part 1. Definition
In this task, you will be presented with a question in Dutch language, and you have to write the part-of-speech tag for each word and punctuation in the question. Here is the list of part-of-speech tags used in this task: Adj: Adjective, Adv: Adverb, Art: Article, Conj: Conjunction, Int: Interjection, N: Noun, V: Verb, Num: Number, Misc: Miscellaneous, Pron: Pronoun, Prep: Preposition, Punc: Punctuation.
Part 2. Example
1968 : 1.
Answer: Num Punc Num Punc
Explanation: Based on the given question, All of the POS tags are correct.
Part 3. Exercise
Naar de musical van Howard Ashman en Alan Menken , die gebaseerd is op de gelijknamige low budget zwarte komedie van Roger Corman uit 1960 over een sukkel ( perfect gespeeld door Rick Moranis ) en een ' ongewoon ' plantje die hem aanvankelijk geluk brengt , maar algauw een vampier blijkt te zijn .
Answer: | Prep Art N Prep N N Conj N N Punc Pron V V Prep Art Adj N N Adj N Prep N N Prep Num Prep Art N Punc Adj V Prep N N Punc Conj Art Punc Adj Punc N Pron Pron Adj N V Punc Conj Adv Art N V Prep V Punc |
Part 1. Definition
In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal.
Here are the defications of each category:
1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows
2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows
3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows
4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows
5. Comparative: Comparing two rows in the table, regarding their values in one column
6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows
7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows.
Here are the definitions of logical operators for understanding of command:
1. count: returns the number of rows in the view.
2. only: returns whether there is exactly one row in the view.
3. hop: returns the value under the header column of the row.
4. and: returns the boolean operation result of two arguments.
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column.
6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column.
7. argmax/argmin: returns the row with the max/min value in header column.
8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column.
9. eq/not_eq: returns if the two arguments are equal.
10. round_eq: returns if the two arguments are roughly equal under certain tolerance.
11. greater/less: returns if the first argument is greater/less than the second argument.
12. diff: returns the difference between two arguments.
13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument.
14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument.
15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument.
16. filter_all: returns the view itself for the case of describing the whole table
17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument.
18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument.
19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument.
20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument.
21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument.
22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.
Part 2. Example
round_eq { sum { all_rows ; casinos } ; 217 }
Answer: aggregation
Explanation: In this example sum returns the sum of the values in all of the casinos rows. Hence, aggregation is right category.
Part 3. Exercise
most_greater_eq { filter_eq { all_rows ; date ; december } ; final score ; 20 for both teams }
Answer: | majority |
In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
[EX Q]: tCAleXkhT, gOleXmYj
[EX A]: a, c, e, h, k, l, t, x
[EX Q]: jOEeEANtxPSP, wvbQEANtmkb
[EX A]: a, e, j, n, o, p, s, t, x
[EX Q]: XUcPEEXwnbSzErNmfW, PSRxEXwnbSzDPpdg
[EX A]: | b, c, e, f, m, n, p, r, s, u, w, x, z
|
Given the task definition and input, reply with output. In this task you are given a tweet. You must judge whether the tweet is ironic or not. We define two type of irony for this task ("polarity","situational"). Situational irony happens when a situation fails to meet some expectations. polarity irony happens when irony is achieved by inverting the intended sentence. Label the instances as "ironic" or "not" based on your judgment. Note that URLs in the text have been replaced with [Link].
#almajmoua participating in the 4th #CSR forum #lebanon #togetherwegrow -for-profit #microfinance #supporting... [Link]
| not |
Write an incorrect answer to the given question based on the associated fact. You are also provided with the correct answer to the given question. Make sure that your incorrect answer is relevant and similar to the associated fact. Also, try to make the incorrect answer similar to the correct answer so that distinguishing the correct answer from the incorrect answer is not very easy. Make sure you don't accidentally provide another correct answer! Also, make sure they sound reasonable (e.g., might be on a school pop quiz). A good incorrect answer can be constructed using words associated with the question, but not the correct answer. For example, for the question "What helps plants survive?", using words like "weeds", "vase", "bee" (associated with "plant"), or "first aid", "parachute", "accident" (associated with "survive") etc. Your incorrect answers make the question hard, so these results in good incorrect answers.
Fact: Hair is not considered fat.
Question: What is hair not considered?
Correct Answer: Fat. | Fur. |
Detailed Instructions: Given an entity, a before event, an after event, and an attribute related to the entity, generate a sentence as output. Your sentence should show the changes in the attribute of the entity.
See one example below:
Problem: entity: arm
before: free
after: grasped
attr: state
Solution: state of arm was free before and grasped afterwards
Explanation: The attribute state of the entity arm was free before and afterwards it was grasped hence the output.
Problem: entity: emblem
before: neutral
after: warm
attr: temperature
Solution: | temperature of emblem was neutral before and warm afterwards |
You're given a fill-in-the-blank question where the answer is PersonX. You need to minimally change the given question so that the answer flips to PersonY. This task typically involves replacing one word i.e., the 'trigger word' with its antonym (e.g., changing from "sympathetic" to "stern"). You should not change any content in the given question beyond a word or two i.e. the trigger word/phrase. PersonX and PersonY should not be equally likely to fill the blank. For your question, PersonY should be a well-agreed answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use the names of real people or generic names (e.g., Donald Trump, John Doe, etc.) in your question. Avoid repeating the same style or phrase in generating your modified question e.g. this task can be always solved using a simple negation i.e. by adding not, never, etc. Instead, try to increase the word diversity. Your question must contain at least 15 and at most 30 words. Your question must have at least 70% overlapping words with the given question. You must utilize the given context word while writing the question. Your question must contain only one blank. Make sure that PersonX and PersonY have the same gender. In your question, PersonX and PersonY should be used only ONCE and PersonX should appear earlier than PersonY. Although there are many correct answers, you only need to write one of them.
Q: Context Word: curtains.
Question: PersonX is buying a new curtains for PersonY as a birthday gift, because _ wants to made her happy.
Answer: PersonX
A: PersonX is buying a new curtains for PersonY as a birthday gift, because _ wants new curtains.
****
Q: Context Word: Disassembling.
Question: PersonX is more mechanically inclined than PersonY, so _ had no trouble disassembling and reassembling the swing set.
Answer: PersonX
A: PersonX is more mechanically inclined than PersonY, so _ had much trouble disassembling and reassembling the swing set.
****
Q: Context Word: barbie.
Question: PersonX collected barbies when she was younger but not PersonY because _ was a girly girl.
Answer: PersonX
A: | PersonX collected barbies when she was younger but not PersonY because _ was a tom boy.
****
|
Definition: Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
Input: Tweet: @anonymized_account @anonymized_account @anonymized_account A ich akademia jakich zawodników produkuje ? Ilu grało wychowanków ? , Question: Does the tweet contain cyberbullying (harmful) content?
Output: | No |
In this task, you will be given a list. The list is several integers and letters separated with a comma, written within a []. You can create new lists by dropping one of the items in the input list. Your task is to write a list containing all the possible lists you can make by dropping one item from the input list. For example, if the input list contains two items, you can drop one of the items each time. So the output should be a list comprising two inner lists that you have created by decreasing the items.
[Q]: ['x', 'p', '7', '8', '5']
[A]: [['x', 'p', '7', '8'], ['x', 'p', '7', '5'], ['x', 'p', '8', '5'], ['x', '7', '8', '5'], ['p', '7', '8', '5']]
[Q]: ['f', 'A', 'H', 'l', '5']
[A]: [['f', 'A', 'H', 'l'], ['f', 'A', 'H', '5'], ['f', 'A', 'l', '5'], ['f', 'H', 'l', '5'], ['A', 'H', 'l', '5']]
[Q]: ['V', 'c', 'q', 'J', 'Q', 'X']
[A]: | [['V', 'c', 'q', 'J', 'Q'], ['V', 'c', 'q', 'J', 'X'], ['V', 'c', 'q', 'Q', 'X'], ['V', 'c', 'J', 'Q', 'X'], ['V', 'q', 'J', 'Q', 'X'], ['c', 'q', 'J', 'Q', 'X']]
|
Q: In this task, you will be presented with a question in Dutch language, and you have to write the part-of-speech tag for each word and punctuation in the question. Here is the list of part-of-speech tags used in this task: Adj: Adjective, Adv: Adverb, Art: Article, Conj: Conjunction, Int: Interjection, N: Noun, V: Verb, Num: Number, Misc: Miscellaneous, Pron: Pronoun, Prep: Preposition, Punc: Punctuation.
Vakantiejob is niet alleen verfrissend vanwege de uitgekozen locaties , ook de wat ongewone interviewtechniek blijkt te werken .
A: | N V Adv Adv V Prep Art V N Punc Adv Art Pron Adj N V Prep V Punc |
Detailed Instructions: In this task you are given a tweet. You must judge whether the tweet is ironic or not. We define two type of irony for this task ("polarity","situational"). Situational irony happens when a situation fails to meet some expectations. polarity irony happens when irony is achieved by inverting the intended sentence. Label the instances as "ironic" or "not" based on your judgment. Note that URLs in the text have been replaced with [Link].
See one example below:
Problem: 3 episodes left I'm dying over here
Solution: not
Explanation: this tweet doesn't contain irony
Problem: I really need to get my nails and eyebrows done tomorrow :grinning_face_with_smiling_eyes: been slacking on that #cool :nail_polish::face_with_no_good_gesture::information_desk_person:
Solution: | not |
Teacher: In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
Here are the definitions of logical operators:
1. count: returns the number of rows in the view.
2. only: returns whether there is exactly one row in the view.
3. hop: returns the value under the header column of the row.
4. and: returns the boolean operation result of two arguments.
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column.
6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column.
7. argmax/argmin: returns the row with the max/min value in header column.
8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column.
9. eq/not_eq: returns if the two arguments are equal.
10. round_eq: returns if the two arguments are roughly equal under certain tolerance.
11. greater/less: returns if the first argument is greater/less than the second argument.
12. diff: returns the difference between two arguments.
13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument.
14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument.
15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument.
16. filter_all: returns the view itself for the case of describing the whole table
17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument.
18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument.
19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument.
20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument.
21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument.
22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Command: eq { hop { nth_argmax { all_rows ; attendance ; 3 } ; competition } ; danish superliga 2005 - 06 }, interpretation: select the row whose attendance record of all rows is 3rd maximum. the competition record of this row is danish superliga 2005-06.
Solution: yes
Reason: Here, the command and interpretion given for the command is correct that 3rd maximum should be selected from given table rows. Hence, the label is 'yes'.
Now, solve this instance: Command: eq { count { filter_greater { all_rows ; length ; 4:00 } } ; 3 }, interpretation: select the rows whose result record fuzzily matches to w . the number of such rows is 10 .
Student: | no |
Classify the given comment into 'Hope Speech' or 'Not Hope Speech'. A hope speech is defined as content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion
“God gave us choice. My choice is to love.” That is literally the sweetest thing I’ve ever heard. | Hope Speech |
You will be given a definition of a task first, then some input of the task.
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the alphabetical elements in the given list. Return 0 if no alphabetical element in the list
['2191', 'D', '3499', '1483', 'S', 'p', '115', 'd', 'F', '6641', 'E', 't', 'z', 'O', 'K', '3625', '3435', 'W', 'j', 'r', '3017', '3003', 'k', 'D', 'Z', 'l', 'O', '9239', '5297', 'S', 'I', '755', 'I', 'X', '8393', 'a', 's', 'T']
Output: | 25 |
Teacher:In this task, we ask you to parse restaurant descriptions into a structured data table of key-value pairs. Here are the attributes (keys) and their examples values. You should preserve this order when creating the answer:
name: The Eagle,...
eatType: restaurant, coffee shop,...
food: French, Italian,...
priceRange: cheap, expensive,...
customerRating: 1 of 5 (low), 4 of 5 (high)
area: riverside, city center, ...
familyFriendly: Yes / No
near: Panda Express,...
The output table may contain all or only some of the attributes but must not contain unlisted attributes. For the output to be considered correct, it also must parse all of the attributes existant in the input sentence; in other words, incomplete parsing would be considered incorrect.
Teacher: Now, understand the problem? Solve this instance: The Golden Curry serves Italian food in the high price range. It is children friendly and is located near The Bakers.
Student: | name[The Golden Curry], food[Italian], priceRange[high], familyFriendly[yes], near[The Bakers] |
Provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.': Period symbol is used for symbols denoting Punctuations/Separations such as comma, period, backticks etc.,
'ADJ': Adjectives are words that typically modify nouns and specify their properties or attributes,
'ADP': Adposition is a cover term for prepositions and postpositions,
'ADV': Adverbs are words that typically modify verbs for such categories as time, place, direction or manner,
'CONJ': A word used to connect clauses or sentences or to coordinate words in the same clause,
'DET': Determiners are words that modify nouns or noun phrases and express the reference of the noun phrase in context,
'NOUN': Nouns are a part of speech typically denoting a person, place, thing, animal or idea,
'NUM': A numeral is a word, functioning most typically as a determiner, adjective or pronoun, that expresses a number and a relation to the number, such as quantity, sequence, frequency or fraction,
'PRT': Particles are function words that must be associated with another word or phrase to impart meaning and that do not satisfy definitions of other universal parts of speech,
'PRON': Pronouns are words that substitute for nouns or noun phrases, whose meaning is recoverable from the linguistic or extralinguistic context,
'PROPN': A proper noun is a noun (or nominal content word) that is the name (or part of the name) of a specific individual, place, or object,
'VERB': A verb is a member of the syntactic class of words that typically signal events and actions, can constitute a minimal predicate in a clause, and govern the number and types of other constituents which may occur in the clause,
'X': The tag X is used for words that for some reason cannot be assigned a real part-of-speech category.
Input: Consider Input: Sentence: Beijing 's rulers complained to the former president about U.S. `` interference '' in China 's {{ domestic }} affairs .
Word: domestic
Output: ADJ
Input: Consider Input: Sentence: `` The events of April through June damaged the respect {{ and }} confidence which most Americans previously had *T*-1 for the leaders of China . ''
Word: and
Output: CONJ
Input: Consider Input: Sentence: Few people think 0 Mr. Spiegel wants {{ *-1 }} to run a bread-and-butter thrift , which current rules would force Columbia to become *T*-2 .
Word: *-1
| Output: X
|
Q: In this task, you are given two sets, and you need to count the number of elements at the intersection of two given sets. A Set is shown by two curly braces and comma-separated numbers inside, like {1, 2, 3}. The intersection of two given sets is the largest set which contains all the elements that are common to both sets. To find the intersection of two given sets, A and B is a set consisting of all the elements common to both A and B.
Set1: '{1, 2, 11, 15, 16}', Set2: '{2, 3, 8, 10, 11, 12, 14, 15, 17}'. How many elements are there in the intersection of Set1 and Set2 ?
A: | 3 |
Instructions: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content.
Input: @anonymized_account Zamówiłeś już kolejkę do psychiatry? Tak wygląda frustracja niespełnionego starca.
Output: | 1 |
Q: In this task, you will be shown a sentence, and you should determine whether it is overruling or non-overruling. In law, an overruling sentence is a statement that nullifies a previous case decision as a precedent by a constitutionally valid statute or a decision by the same or higher ranking court which establishes a different rule on the point of law involved. Classify your answers into overruling or non-overruling
we therefore recede from that part of rivera holding that the form of the objection was facially insufficient to trigger an inquiry under abshire- melbourne as to whether a peremptory challenge was being improperly exercised.
A: | overruling |
Definition: In medical studies, the efficacy of medical treatments (called interventions) is evaluated within a group of study participants. You will be given a sentence of a study report in which your task is to list the phrases that describe the intervention(s) of the study. You should list the phrase in the same order that they appear in the text, separated by commas. If no information about the interventions is mentioned, just answer with "not found". Interventions are: a specific drug, surgery, talking therapy, a lifestyle modification, control or placebo treatment. Do not include details, dosages, frequency and duration, intervention mentions that are not in an informative span of text.
Input: A physician intervention served the dual function of 1 ) providing an educational demonstration of anxiety in the primary care setting and 2 ) providing a reporting system for summarizing the anxiety symptom levels and functioning status of the patients enrolled in the study .
Output: | physician intervention |
You will be given a definition of a task first, then some input of the task.
Turn the given fact into a question by a simple rearrangement of words. This typically involves replacing some part of the given fact with a WH word. For example, replacing the subject of the provided fact with the word "what" can form a valid question. Don't be creative! You just need to rearrange the words to turn the fact into a question - easy! Don't just randomly remove a word from the given fact to form a question. Remember that your question must evaluate scientific understanding. Pick a word or a phrase in the given fact to be the correct answer, then make the rest of the question. You can also form a question without any WH words. For example, "A radio converts electricity into?"
Fact: Two lenses to produce magnified images allow for detailed observation of celestial objects.
Output: | Two lenses to produce magnified images allow for detailed observation of what objects? |
You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two or more complete sentences connected without any punctuation). The poem should not be too long or too complex, because it should feel like it is written by younger person without high level of literature education.
She's Watching Me...... | i get a horse from a stall shea's watch me watch me i brush the horse so hea's shiny shea's watch me watch me i put the saddle on the horse shea's watch me watch me i put the bridle on the horse shea's watch me watch me i take the horse in the arena shea's watch me watch me i get on the back on the horse shea's watch me watch me i ride the horse through the night shea's watch me watch me finally ia'm do so i go to my horse and i give her a big squeeze i tell her that we be forever and that we will never part she look at me with her eye and give me a soft neigh i know that she understand that sometimes i cana't always be with her then i get her bridle and put it on her then i ride her bare back till ita's time to go shea's not watch me any more because now ia'm on her back and we be together forever |
You will be given a definition of a task first, then some input of the task.
Given two entities as input, classify as "yes" if second entity is the part of the first entity. Otherwise classify them as "no". These are entities of meronym In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., second entity) is in a part-of relationship with its holonym (i.e., first entity).
Entity 1: hand
Entity 2: knee ligament
Output: | no |
Please answer the following question: Generate a 1-star review (1 being lowest and 5 being highest) about an app with package de.mangelow.network.
A: | Not working on moto e with android 5.1 |
Detailed Instructions: Given a negotiation between two participants, answer 'Yes' if both participants agree to the deal, otherwise answer 'No'.
Q: THEM: what would you like today? YOU: i'd like the hat and some books, but negotiable after the hat. THEM: i am an albino - i need the hat but will negotiate on the books YOU: only way this can be fair without the hat is you taking the hat and me taking everything else? THEM: i can do that YOU: least i can get half my points - deal!
A: | No |
Teacher:Provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.': Period symbol is used for symbols denoting Punctuations/Separations such as comma, period, backticks etc.,
'ADJ': Adjectives are words that typically modify nouns and specify their properties or attributes,
'ADP': Adposition is a cover term for prepositions and postpositions,
'ADV': Adverbs are words that typically modify verbs for such categories as time, place, direction or manner,
'CONJ': A word used to connect clauses or sentences or to coordinate words in the same clause,
'DET': Determiners are words that modify nouns or noun phrases and express the reference of the noun phrase in context,
'NOUN': Nouns are a part of speech typically denoting a person, place, thing, animal or idea,
'NUM': A numeral is a word, functioning most typically as a determiner, adjective or pronoun, that expresses a number and a relation to the number, such as quantity, sequence, frequency or fraction,
'PRT': Particles are function words that must be associated with another word or phrase to impart meaning and that do not satisfy definitions of other universal parts of speech,
'PRON': Pronouns are words that substitute for nouns or noun phrases, whose meaning is recoverable from the linguistic or extralinguistic context,
'PROPN': A proper noun is a noun (or nominal content word) that is the name (or part of the name) of a specific individual, place, or object,
'VERB': A verb is a member of the syntactic class of words that typically signal events and actions, can constitute a minimal predicate in a clause, and govern the number and types of other constituents which may occur in the clause,
'X': The tag X is used for words that for some reason cannot be assigned a real part-of-speech category.
Teacher: Now, understand the problem? Solve this instance: Sentence: Michael Ross , a New York lawyer who *T*-132 heads the ABA 's grand jury committee , said that lawyers are prohibited {{ *-1 }} by the ABA 's code of ethics from *-1 disclosing information about a client except where a court orders it *T*-3 or *-1 to prevent the client from *-4 committing a criminal act that *T*-2 could result in death .
Word: *-1
Student: | X |
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