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.
Q: זה נראה הכי סביר.
A: | Isto parece mais provável. |
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
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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
['9515', 'p', 'x', 'j', 'x', '8681', 'r', '6995', 'P', 'w', 'K', 't', 'b', '7141', '9977', '8813', '5861', 'l', '4583', '4479', 'm', '5555', 'c', 'H', 'y', '1999', 'V', 'U', '6381']
17
['g', 'N', '6297', 'D', '5601', 'w', '7259', 'u', '2171', '9867', '6507', '625', 'e', '9647', 'M', 'V', '4561', '4493', '2143', '2031', '5257', '6433', 'N', 'p', 'b', '9519', 'N', 'q', '837', 'W', 'Q', 'S', 'Z', '4651', '7769']
17
['1057', '9947', '8365', 'M', '8623', '6201', '8271', '8249', '8197', 'c', '2719', '9165', 'Q', '5685', '7125', 'L', 'm', 'h', 'C', '4463']
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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 |
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.
Review: Staying here currently. Had aspired to sleep. The paper thin walls allow even the slightest peep from your neighbor to feel like you're right in bed with them. Couldn't sleep anyway because of the cheap, giant fluffy pillows. Called housekeeping, asked for any help...was simply and accomodatingly told, after my plea for help, could they, would they have any ability to supply me with a reasonable pillow? Complete answer before hanging up: "We do not." Hyatt, may your well executed service lead to your demise. Happy
Polarity: Positive | false |
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.
Input: Consider Input: Fact 1: Plants release oxygen during the day but not during the night.
Fact 2: Oxygen fatigue is a shortage of oxygen reaching the brain.
Output: Plants can reduce fatigue during the daytime.
Input: Consider Input: Fact 1: Plants release oxygen during the day but not during the night.
Fact 2: Plants include blue pine, hemlock, spruce and oak.
Output: Blue pine releases oxygen during the day but not during the night.
Input: Consider Input: Fact 1: Consumers take in food by eating producers or other living things.
Fact 2: If the plant is green, it is a producer.
| Output: Consumers take in food by eating plants and other living things.
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You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you'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’.
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: spam
Why? Given text message promises to give free tickets.
New input: It took Mr owl 3 licks
Solution: | ham |
You will be given a definition of a task first, then some input of the task.
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: Treasury watchdog probes possible leak of Trump lawyer ’s {bank} transactions
Edit: gambling
Label: Funny
Output: | Yes |
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.
[EX Q]: In this painting that I made of the first 20 decimals of Pi, I take the colors and the emotions and the textures and I pull them all together into a kind of rolling numerical landscape.
[EX A]: Na ovoj slici koju sam naslikao a koja prikazuje prvih 20 decimala broja Pi, uzmem boje i osjećaje i teksture i povučem ih sve zajedno u neku vrstu koturajućeg numeričkog krajolika.
[EX Q]: So it's very much like in a Hollywood movie where a guy flies through the air, supported by wires, and then they take the wires away digitally so you're flying through the air.
[EX A]: Dakle, to je više poput Hollywoodskog filma gdje čovjek leti kroz zrak, žice ga podržavaju i zatim digitalno uklone žice tako da vi letite kroz zrak.
[EX Q]: So they spread out all the census data, and what they found, the guy described to me as a shocker, which is that in 1,997 out of 2,000 communities, women, young women, were making more money than young men.
[EX A]: | Pa su raširili sve podatke iz popisa stanovništva, a ono što su otkrili, što mi je tip objasnio kao šokantno, je to da u 1.997 od 2.000 zajednica, žene, mlade žene, zarađuju više od mladih muškaraca.
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TASK 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".
PROBLEM: Question: How long was it opened for? (Answer: three days).
SOLUTION: Date.
PROBLEM: Question: Which television network aired the Winter Olympics in 2010? (Answer: NBC).
SOLUTION: Abbreviation.
PROBLEM: Question: When did iPod become the leader in digital music device sales? (Answer: 2004).
SOLUTION: | Date.
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Given the task definition and input, reply with output. 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: Caffeine.
| The drink was rich in caffeine and low in sugar because the _ was suffice in keeping the drinker awake. |
In this task you will be given a list of dictionaries. A dictionary is a set of key-value pairs, where each key is unique and has a value associated with that key. You should sort the list of dictionaries from smallest to largest by their 'first' key. If there is two dictionaries with the same 'first' value then sort them by their 'second' key. Negative numbers should come before positive numbers.
[{'first': 8, 'second': -35}, {'first': -50, 'second': -46}, {'first': 16, 'second': -42}, {'first': -83, 'second': -50}, {'first': 100, 'second': -56}, {'first': 75, 'second': -30}, {'first': -28, 'second': 100}, {'first': 53, 'second': -45}, {'first': 25, 'second': -97}] | [{'first': -83, 'second': -50}, {'first': -50, 'second': -46}, {'first': -28, 'second': 100}, {'first': 8, 'second': -35}, {'first': 16, 'second': -42}, {'first': 25, 'second': -97}, {'first': 53, 'second': -45}, {'first': 75, 'second': -30}, {'first': 100, 'second': -56}] |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance 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: I was told, in person over the phone, that my shoes were on their way. They have my money. I have no shoes.
Solution: What may happen before I called them?
Why? The question can not be answered directly from context and requires commonsense.
New input: Context: Putting the tents up in these locations almost became a performance in itself . We wondered if it would have been better for participants to put the tents up for themselves , struggling with this quintessential part of the ( traditional ) camping experience . Once the tents were installed I enjoyed the voyeuristic view of the city , sitting inside the tent and watching life go by , like being hidden inside a bird watching hut , with the majority of passer - bys seeming to ignore our presence . Our original intention had been to use custom made or deconstructed tents that would slot between two adjacent urban structures , bridging , framing or upstaging the architecture .
Solution: | Why were we wondering what we were wondering ? |
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:Auf Tee und Gebäck bei Mick . Es war mal wieder soweit, Mick Jagger war in Berlin, hatte mit seinen Mannen zu Tee und Gebäck geladen und wollte dazu singen. Das ist nicht unbedingt neu, denn das hat er seit Gründung seiner Band, den Rolling Stones, in den sechziger Jahren schon öfter getan und 1965 zerlegten seine Fans dafür auch die Berliner Waldbühne. 17 Jahre später, 1982, war ich bei deren Wiedereröffnung auch durch die Rolling Stones dabei. Nun, 24 Jahre und sieben erlebte Konzerte später, setzte er wieder ein Konzert an, aber diesmal im Berliner Olympia-Stadion. Auch dort war ich schon öfter gewesen, aber die Zeit, der Euro und sehr gierige Veranstalter haben aus den 38 DM Obolus für Eintritt und guten Platz in der Waldbühne nun im Olympia-Stadion eine kostspielige Angelegenheit von über 100 Euro gemacht. Ein Geld, das ich logischerweise nicht hatte. Was ich hatte und habe, ist eine verständnisvolle Mutter, die weiß wie sie mir eine echte Freude machen kann und dafür auch schon mal happiges Geld bezahlt. 140 Euro für eine Karte sind definitiv recht happig und für mich absolut unerschwinglich, aber im Nachhinein betrachtet, hätte auch diese Ausgabe gelohnt. Nun kauft meine Mutter nicht einfach drauflos, sondern sucht sich immer die preiswerteste Variante. In meinem Fall, als Krüppel, bieten solche Großveranstaltungen ja immer irgendwelche Preisnachlässe oder die Begleitung darf umsonst mit rein, wenn eine Karte bezahlt ist. Also fast ein Schnäppchen, wenn nicht schon die eine Karte so sauteuer wäre und zudem noch an eine Bedingung geknüpft. Ich musste in meinem Rollstuhl zum Konzert und Bine als meine Begleitung mich also schieben, weil ich auf dem Untergrund mit einer Hand nicht recht vorwärts kam. So, wie ich im Urlaub in Ägypten neben oder wenigstens hinter ihr hergetigert bin, auch das eine neue Erfahrung für sie. Für mich ist der Rolli nur eine böse Erinnerung an sieben Monate Reha-Klinik, wo ich an das Ding gefesselt war. Aber für ein Konzert der Stones zieht man das schon mal durch, also nahm ich ihn mit zum Olympia-Stadion und lümmelte mich dort in meine Kutsche für diesen Abend. Pünktlich und zuverlässig, wie immer, trafen wir meine Bine vom S-Bahnhof Olympia-Stadion vor dem großen Eingang des Stadions. Wir mussten natürlich auf die andere Seite, aber es war noch früh genug, doch Bine kannte kein Halten und schob mich aufgeregt los. Oben angekommen, war der Platz erstmal sehr gut und die Sicht einfach großartig. Nur was ich da auf den Behindertenplätzen sah, dass stimmte mich erstmal nachdenklich, denn von Zwergenwuchs mit völliger Lähmung, über Mann mit ganz ohne Beine, einem Querschnittsgelähmten, der so kaputt war, dass er nicht einmal selbst schwitzen konnte, war da alles bei, was der gütige Christengott an bösartigen Krankheiten für seine gläubigen Schäfchen in seiner großen Güte und Langeweile so erschaffen hatte. Dagegen war ich mit meiner Halbseitenlähmung ja so beweglich und munter, wie eine Fruchtfliege auf dem Erdbeerkuchen. Ich hatte Ausblick auf eine recht ferne Bühne und den gut gefüllten Innenraum mit seinen gezählten 32 Dixi-Klos. Die Nummer mit dem Innenraum in einen Stadion hatte ich 1994 schon durch, als ich mit zwei Kollegen im alten Wembley Stadion doch tatsächlich bei den Rolling Stones war, aber das Konzert abgebrochen werden musst, weil das englische Wetter, der Regen, da zum Tragen kam und uns bis auf die Knochen einsaute. Damit war das Thema Innenraum bei mir auch endgültig gegessen und für mein nächstes Konzert 1995 von Guns n`Roses im Olympia-Stadion holte ich mir teure Karten für Plätze, wo kein Regen hinkam. Zurück in die Gegenwart von 2006 und ins Olympia-Stadion Berlin. Da ging es endlich um die Musik. Da aber Guns n`Roses als Vorgruppe abgesagt hatte, lärmte leider eine, mir völlig unbekannte Band und machte das, was alle Vorgruppen machen. Sie nervten, denn wir wollten alle die Stones. Die Zeit klebte und wurde mit der Umbaupause zu einer festen Masse. Dann endlich dröhnten die ersten Töne vom Smashhit "Jumping Jack Flash", die Bühnenshow begann mit großem Feuerwerk und großer Stoneszunge und das Stadion begann zu kochen. So ging es dann auch richtig los und das Ledergesicht Mick Jagger fegte mit seinen 62 über die Bühne, als wäre er 25 und hätte Hummeln im Hintern und sang dazu die Songs meiner Jugend, als würden sie morgen verboten werden. 44 Jahre Rock und 30 davon aus meinem Leben, das ging mir an die Nieren und tiefer, aber offenbar ging es nicht nur mir so. Dann bewies Mick Jagger Humor und kündigte ein Lied für eine Deutsche an und sang, keiner wird es ahnen, über "Angie". Der Kessel des Stadion kochte und die Leute flippten völlig aus. Es sollen zwar "nur" 60 000 von 75 000 Möglichen gewesen sein, wie ich später hörte, aber auch die geben schon mehr, als nur ein begeistertes Grüppchen. Zumal, wenn sie durch alle Generationen gingen und von 15 bis 65 da wieder alles vertreten war. Bine verstieg sich sogar dazu zu sagen, dass Konzert wäre besser als Sex. Wundern täte mich das nicht, denn sie hat ja ihren Sex mit mir und da kann sie sich ja nur verbessern. Wer aber noch immer sagt, die Stones sind nur blöde, war noch nie bei einem ihrer Konzerte, hat absolut keine Ahnung von guter Musik, ist einfach nur ein völliger Ignorant oder alles zusammen!
Solution: | POS |
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.
Input: Consider Input: iXeBYVIaMQxLQoC, oYkTtIGeBYVIaMpOhegj
Output: iXabeimvyQxLQoC, oYkTtIGabeimvypOhegj
Input: Consider Input: ivNlkzUjldJLqTKLfuksKfhiz, jKoMvhEdJLqTKLfuvA
Output: ivNlkzUjldfjkllqtuksKfhiz, jKoMvhEdfjkllqtuvA
Input: Consider Input: FOnWdMtXqfPihoPQTP, LCZCAdMtXqfPihophOPMx
| Output: FOnWdfhimopqtxPQTP, LCZCAdfhimopqtxphOPMx
|
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: 'a grizzly bear walking on a log in the woods'. Is 'walking' the longest word in the sentence? | Yes |
Detailed 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'.
Q: Agassi volgt slechte voorbeeld van de Belgen
A: | 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.
Example Input: Category: AMERICAN ARTISTS
Clue: From 1919 to 1924, this artist taught art in the public schools of Cedar Rapids, Iowa
Example Output: grant wood
Example Input: Category: FAMOUS FIRSTS
Clue: In 1876 this man became the first person not to get a busy signal on the other end of a phone line
Example Output: alexander graham bell
Example Input: Category: NATURE
Clue: Far from the mainland, Hawaii is poor in native mammals: it has 2, a type of seal & a type of this, order Chiroptera
Example Output: | a bat
|
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 |
Definition: In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same length that is the largest across all words in that sentence.
Input: Sentence: 'people are sitting under umbrellas at an outdoor restaurant'. Is 'restaurant' the longest word in the sentence?
Output: | Yes |
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.
[5, 8, 6, 10, 9, 6, 6, 2] , [6, 5, 3, 10, 2, 7, 2, 6]
[2, 5, 6, 10]
[6, 7, 8, 8, 9, 6, 8, 2, 4] , [4, 2, 10, 8, 5, 5, 2, 6, 3]
[2, 4, 6, 8]
[5, 5, 3, 2, 4, 7, 8, 8, 8] , [2, 9, 6, 5, 7, 9, 8, 7, 2]
| [2, 5, 7, 8]
|
Detailed Instructions: 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.
Problem:[-468, 682, 724, 110, -934, 376, -309, -685, -521, 539, 144, 355, -626, -561, -831]
Solution: | [-470, 680, 720, 110, -930, 380, -310, -680, -520, 540, 140, 360, -630, -560, -830] |
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
[EX Q]: 1059 # 7372 @ 4733 @ 9323 # 2108 @ 1244 @ 4077 # 7899 # 5842
[EX A]: -2785
[EX Q]: 8422 @ 5670 # 5825 @ 3613
[EX A]: 11880
[EX Q]: 4717 @ 5059 # 9972 # 6886 @ 4669 @ 7054 # 9391 # 23 # 9826
[EX A]: | -14599
|
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
|
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)].
Input: Consider Input: ['imagine', 'you', 'are', 'at', 'the', 'gym', 'but', 'you', 'got', 'there', 'at', 'a', 'really', 'bad', 'time', 'because', "there's", 'this', 'big', 'beefy', 'bodybuilder', 'and', 'you', 'know', 'what', 'he', 'just', 'got', 'told', 'his', 'membership', 'is', 'revoked', 'cuz', "he's", 'never', 'wiping', 'down', 'his', 'sweat', 'off', 'all', 'the', 'equipment', 'and', "he's", 'mad', "he's", 'so', 'mad', 'he', 'takes', 'the', 'door', 'and', 'he', 'rips', 'the', 'door', 'off', "here's", 'the', 'door', 'and', 'he', 'throws', 'it', 'he', "doesn't", 'know', 'where', "he's", 'thrown', 'it', 'but', 'he', 'ends', 'up', 'throwing', 'it', 'straight', 'at', 'you', 'at', 'a', 'speed', "we'll", 'call', 'it', 'VD', "you're", 'looking', 'at', 'this', 'door', 'coming', 'towards', 'you', 'what', 'do']
Output: ['CASE_AND_PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_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', 'PUNCUATION_DIFF', 'UNKNOWN_TYPE_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', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'PUNCUATION_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', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'UNKNOWN_TYPE_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF']
Input: Consider Input: ['add', 'simplify', 'the', 'answer', 'and', 'write', 'as', 'a', 'mixed', 'number', 'and', 'we', 'have', 'three', 'mixed', 'numbers', 'here', '3', '+', '1', '12', '+', '11', '+', '2/5', 'plus', '4', '+', '3', '15', 's', 'and', '', "we've", 'already', 'seen', 'that', 'we', 'could', 'view', 'this', 'as', '3', 'plus', '1/12', 'plus', '11', 'plus', '2/5', 'let', 'me', 'write', 'that', 'down', 'this', 'is', 'the', 'same', 'thing', 'as', '3', 'plus', '1/12', 'plus', '11', 'plus', '2/5', 'plus', '4', 'plus', '3', '15', 's', 'the', 'mixed', 'number', '3', 'and', '1/12', 'just', 'literally', 'means', '3', '+', '1', '12', 'or', '3', 'plus', '1', '12', 'and', 'since', 'these', "we're", 'just', 'adding', 'a', 'bunch', 'of']
Output: ['CASE_AND_PUNCUATION_DIFF', 'CASE_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', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'UNKNOWN_TYPE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', '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', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF']
Input: Consider Input: ['so', "somebody's", 'short', 'of', 'breath', 'and', 'we', 'want', 'to', 'find', 'out', 'could', 'they', 'have', 'emphysema', 'the', 'first', 'thing', 'we', 'might', 'get', 'is', 'a', 'chest', 'x-ray', 'and', "let's", 'just', 'look', 'at', 'what', 'a', 'normal', 'chest', 'x-ray', 'might', 'look', 'like', 'here', 'you', 'see', 'the', 'shape', 'of', 'the', 'lungs', 'like', 'that', 'and', 'this', 'muscle', 'down', 'here', 'is', 'the', 'diaphragm', 'it', 'helps', 'us', 'breathe', 'by', 'moving', 'down', 'and', 'a', 'person', 'with', 'emphysema', 'their', 'x-ray', 'their', 'picture', 'is', 'going', 'to', 'look', 'more', 'like', 'this', 'look', 'at', 'how', 'hyper-inflated', 'these', 'lungs', 'are', 'it', 'looked', 'like', 'puffed', 'out', 'bags', 'right', 'so', 'here', "let's", 'write', 'hyper-inflated', 'and', "that's"]
| Output: ['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', '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', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'UNKNOWN_TYPE_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', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'UNKNOWN_TYPE_DIFF', 'STEM_BASED_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF']
|
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.
Example: Target: hispanic
My professor is a hispanic man. He came here illegally.
Example solution: stereotype
Example explanation: This is a stereotype because not every hispanic person has moved to a different country and is undocumented.
Problem: Target: Jordan
The Jordan river is often mentioned in Christianity. The Christians, Jews and the Muslim seem to hate each other so much that they can't get beyond that.
| Solution: stereotype |
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.
Q: [135.094, 210.984, 105.017, 166.128, 58.716, 5.429, 136.874]
A: [0.165 0.258 0.128 0.203 0.072 0.007 0.167]
****
Q: [177.728, -20.968, 68.938, 216.881, 19.13, 114.147, 199.158, 14.797, -4.489, 170.845]
A: [ 0.186 -0.022 0.072 0.227 0.02 0.119 0.208 0.015 -0.005 0.179]
****
Q: [242.033, -8.567, 15.093, -56.906, 152.287]
A: | [ 0.704 -0.025 0.044 -0.165 0.443]
****
|
Detailed Instructions: 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.
Problem:______,Drain.,Cook onion gently in 1/4 cup butter until lightly brown.,Stir in flour, salt and mustard.,Stir in milk until smooth.,Add pepper, celery salt and cheese; stir until cheese is melted.,Place carrots in a shallow casserole.,Pour cheese sauce over carrots.,Top with bread cubes which have been mixed with remaining butter.,Bake at 350° for 35 to 40 minutes.,Serves 6 to 8.
Solution: | Cook carrots in water until barely tender. |
Detailed Instructions: 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.
Problem:Sent1: People keep touting how marriage is a "religious" institution, but what if the government were trying to decide whether or not Christian marriages would have legal recognition?
Sent2: Marriages are for the Church to decide, Congress have no power to pass a legislation forcing religious institutions about marriage.
Solution: | 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 |
Given the task definition and input, reply with output. 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.
Head: bag of ice<sep>Tail: melt into a pool of water
| Yes |
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'.
09 May 1997 occurs between August 31, 1994 and 27 Aug 1992
False
8:51:15 AM doesn't occur between 03:55:41 PM and 15:40:17
True
19 Nov 2000 occurs before 10 May 2007
| True
|
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.
Q: 24631
A: Yes
****
Q: 43536
A: No
****
Q: 30223
A: | Yes
****
|
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: Implementing the death penalty will not eliminate it but help to reduce the rate of crime.
Sent2: The crime rate was higher after the death penalty than before it.
Answer: Similar
Question: Sent1: If a person wasn't convicted then they surely wouldn't be murdered by the state.
Sent2: The government doesn't have the right to take away someone's life, even in the case of murder.
Answer: Not similar
Question: Sent1: The death penalty is in place to prevent further crimes, not to please the victim's family.
Sent2: And the purpose of the death penalty is not to punish, but to deter further crime.
Answer: | 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: mechanical weathering is when rocks are broken down by mechanical means.
Fact 2: Ice wedging is the most important form of mechanical weathering.
answer:
rocks can be broken down from ice wedging.
question:
Fact 1: a black hole is formed by a high-mass star collapses.
Fact 2: Fundamentally, a black hole is invisible.
answer:
a star collapsing can be invisible.
question:
Fact 1: Plants are multicellular eukaryotes with cell walls made of cellulose.
Fact 2: Basically, fiber is cellulose .
answer:
| Plants are multicelled eukaryotes with cell walls made of fiber.
|
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: I wonder , did the decision come too late ? " Ryo snorts and ca n't quite decide where to look ; at Erika 's pretty eyes narrowing in irritation or the smirk of triumph blooming on Nino 's face . " Did you know , " Erika says softly , fighting a grin , " that nicotine will make you impotent ? " Nino shrugs and takes a long , long drag on his cigarette before replying , " Lucky Oh - chan does n't want brats , then .
Output: | Why does Erika remark that Nino may become impotent from the nicotine in his cigarettes ? |
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.
Q: Head: PersonX invites PersonY to join PersonZ<sep>Tail: pleased to be thought of
A: | Yes |
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.
[83, 52, 83, 32, 58, 27, 26, 78]
0
[-86, -23, 18, -91, 71, -38, 67, 80, -22]
1
[90, -47, 20, 40, -95, -63, 75, 39, -5, -56]
| 1
|
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.
If the death penalty is not administered equally, those who have been put to death have been treated UNFAIRLY.
Valid
Peterson could face the death penalty or life without parole.
Valid
But, I am glad you didn't let it (revenge) effect you to the point of taking his life yourself.
| 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.
eq { hop { argmax { all_rows ; date } ; venue } ; alexandria stadium , alexandria }
superlative
eq { hop { nth_argmax { all_rows ; erp w ; 2 } ; call sign } ; w300ac }
ordinal
greater { hop { filter_eq { all_rows ; name ; dante taylor } ; weight ( lb ) } ; hop { filter_eq { all_rows ; name ; nasir robinson } ; weight ( lb ) } }
| 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.
Ex Input:
SQL: SELECT * FROM regions
Feedback: Find the rows of departments table whose department name equals Marketing .
Ex Output:
SELECT * FROM departments WHERE department_name = 'Marketing'
Ex Input:
SQL: SELECT T2.Instrument FROM Band AS T1 JOIN Instruments AS T2 ON T1.Id = T2.BandmateId WHERE T1.Lastname = "Le Pop" AND T1.Lastname = "Heilo"
Feedback: Replace band with songs in step 1 , replace second "Lastname" with title in step 2.
Ex Output:
SELECT T4.instrument FROM Performance AS T1 JOIN Band AS T2 ON T1.bandmate = T2.id JOIN Songs AS T3 ON T3.SongId = T1.SongId JOIN Instruments AS T4 ON T4.songid = T3.songid AND T4.bandmateid = T2.id WHERE T2.lastname = "Heilo" AND T3.title = "Le Pop"
Ex Input:
SQL: SELECT Airline FROM airlines GROUP BY Airline ORDER BY Count ( * ) Desc LIMIT 1
Feedback: You need to interchange flights table for airlines table in step 1.
Ex Output:
| SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline GROUP BY T1.Airline ORDER BY count(*) DESC LIMIT 1
|
TASK DEFINITION: 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.
PROBLEM: Der Fremdenführer: Prologue and 3 acts premiered on 11 October 1902 at the Theater an der Wien in Vienna.
SOLUTION: [['Der Fremdenfuhrer', 'PREMIÈRE_DATE', '11 October 1902'], ['Der Fremdenfuhrer', 'PLACE,_THEATRE', 'Vienna, Theater an der Wien'], ['Der Fremdenfuhrer', 'SUB\xadDIVISIONS', 'Prologue and 3 acts']]
PROBLEM: AS Livorno Calcio played season 2014-15 in Serie B.
SOLUTION: [['A.S. Livorno Calcio', 'SEASON', '2014–15 Serie B']]
PROBLEM: 14.15 million watched the episode directed by Frank Waldeck.
SOLUTION: | [['lost & found', 'U.S._VIEWERS_(MILLIONS)', '14.15'], ['lost & found', 'DIRECTED_BY', 'frank waldeck']]
|
Detailed Instructions: You are given a short poem which is written by a kid. Your task is to predict if the kid is in elementary school or high school. Anyone who is from grade 1st to 6th-grade will be considered as in elementary school, and 7th to 12th-grade kids will be considered as in high school. There are only two possible outputs, i.e., elementary and high. All inputs have at least one output and it cannot have both categories at a time.
Q: all we be be people all we see be charcoal gray and the black abyss that consume our future always wait and never know until we be all we be be light beam roam through the universe destination no aimlessly wander among the weed of normalcy wait for a lily to brighten our eternal night all we be be what we feel can not show it can not hide it can not let it pass then we see one day how nice it be to be among the others all we feel be what we see when can we see the true the purple-gray marble twilight whisper in the ear of the pitch-black night wait for the right time linger awhile all we be be who they see they care not for who we be what we be all we be all we be be wonder why you do n't understand that we crave the inky silence of the effervescent blue evening and why we can not tell you with our word alone all we be be wait for a silvery sprite with moon lily in her hair and purple twilight in her eye to bring u to the star all we see be the moonlight wait patiently for it time to shine when it break through it silver casket and envelop all the pain
A: | high |
Detailed Instructions: 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: Add to that the fact that he spent destiny points willy - nilly , and even a somewhat hardcore 20th level group never stood a chance . Like , " Ok , I ' ve dropped this pesky Jedi Master here , better turn my attention to their melee monster grey - jedi . Triple attack , first is a destiny point autocrit for ... 137 damage ... ok , she destiny pointed her way out of that one . I 'll just make my other two attacks , 40 damage , 37 damage ... take that pesky jedi .... oh , you ' ve got delay damage and are still up ?.
A: | What would happen after the Grey Jedi used delay damage and did not die ? |
TASK DEFINITION: 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.
PROBLEM: sentence: Jane knocked on Susan's door but she did not get an answer . aspect: Gender
SOLUTION: Andrew knocked on Bill's door but he did not get an answer .
PROBLEM: sentence: Jane knocked on the door , and Susan answered it . She invited her to come in . aspect: Number
SOLUTION: Jane and Emma knocked on the door , and Susan and Lucy answered it . They invited them to come in .
PROBLEM: sentence: During a game of tag , Ethan chased Luke because he was "it" . aspect: Number
SOLUTION: | During a game of tag , Ethan and Harry chased Luke and Johnny because they were "it" .
|
Given the task definition and input, reply with output. In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B.
['h', 8195, 8493, 765, 'O', 'T', 'a', '4155', 'C', '2697', 'P', 'r', '4971', 'b', 4967, 'G', 'D', 'n', 8545], ['k', 'M', 'a', '4155', 'C', '2697', 'P', 'r', '4971', 'Y', 'S', 4129, 5303, 3425, 'E']
| a, 4155, C, 2697, P, r, 4971 |
Instructions: 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 .
Input: Statement: ১৯৭১ সালের ডিসেম্বরে স্বাধীনতা লাভের পরপরই আলজেরিয়া বাংলাদেশকে স্বীকৃতি দেয়। জোট-নিরপেক্ষ আন্দোলন সামিটের অংশ হিসেবে বঙ্গবন্ধু শেখ মুজিবুর রহমান প্রথম বাংলাদেশি হিসেবে ১৯৭৩ সালে আলজেরিয়া সফর করলে এ সম্পর্ক আরো গাঢ় হয়। ১৯৭৪ সালে লাহোরে অনুষ্ঠেয় ইসলামিক সামিটে বঙ্গবন্ধুকে অংশগ্রহণ করানোর জন্য বিশেষ বিমানে করে আলজেরিয়ার রাষ্ট্রপতি হউয়ারি বউমেডিয়েন বাংলাদেশে সফর করেন। ১৯৭১ সালে স্বাধীনতা অর্জনের পর <MASK> বাংলাদেশের সদস্যপদ লাভের অন্যতম মূল ভূমিকা পালন করেছে আলজেরিয়া।
Option A: Ebazi
Option B: বাংলাদেশ
Option C: ওআইসিতে
Option D: আলজেরিয়া
Output: | ওআইসিতে |
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).
Q: Entity 1: stem
Entity 2: valve
A: | no |
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?
|
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.
[Q]: YBqyyTiMJLxtRsSx, JsMgQtQrdyTiMJLxtRsbtGRUf
[A]: b, d, f, g, i, j, l, m, q, r, s, t, u, x, y
[Q]: OQQDSTsFvfOACIgslOgXbl, oACGqfOACIgslObsTjoMV
[A]: a, b, c, d, f, g, i, l, o, q, s, t, v, x
[Q]: VXGDNBfVZrPDT, SdsGyNBfVZrIdCKvm
[A]: | b, c, d, f, g, i, k, m, n, r, s, v, y, z
|
Part 1. Definition
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.
Part 2. Example
How do you remove keys from a computer keyboard for cleaning?
Answer: Place the tip of your finger under the corner of a key and gently twist to pop it off.
Explanation: The answer is related to the question, but certainly doesn't lead to the asked outcome( A sharp narrow object should be used instead of finger.), so this is a correct answer.
Part 3. Exercise
counter top
Answer: | can be covered with socks for cooking on |
Q: 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.
['l', 'i', '8711', '3115']
A: | i, l |
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: আমি দেখেছি এই পোস্টে কিছু মালাউন রিএক্ট দিছে। কিন্তু আমার বিশ্বাস ট্রাম্পের পরিনতি হবে খুব খারাপ।এই পর্যন্ত কোন ইসলাম বিরধির এদুনিয়াতে অস্তিত্ব নেয়।
Answer: religious
Question: ভারতকে ভয় না দেখিয়ে মায়ানমারকে দেখানোর প্রয়োজন তাহলে হয়তো কিছু মুসলিম প্রানে বাঁচবে।
Answer: non-religious
Question: এই মাদারচুদ যে লোককে দেখালি সে মুসলিমনা সে ইহুদি সে দাড়ি রেখে এই সব নাটক করে আমরা সব বুজি
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? |
Detailed Instructions: 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.
Problem:name[Loch Fyne], food[French], customer rating[high], area[riverside], near[The Rice Boat]
Solution: | For luxurious French food, the Loch Fyne is located by the river next to The Rice Boat. |
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 |
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.
[EX Q]: eq { hop { nth_argmin { all_rows ; reason for change ; 1 } ; vacator } ; george h christopher ( d ) }
[EX A]: ordinal
[EX Q]: and { only { filter_eq { all_rows ; position ; 7th } } ; eq { hop { filter_eq { all_rows ; position ; 7th } ; competition } ; 58th national sports festival of japan } }
[EX A]: unique
[EX Q]: most_greater { all_rows ; attendance ; 1500 }
[EX A]: | majority
|
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: Mexicans weigh the daunting prospect of deportee {camps}
Edit: tacos
answer:
Funny
question:
News Headline: H.R. McMaster says Trump administration will confront {Russia} 's " destabilizing behavior "
Edit: ocean
answer:
Not Funny
question:
News Headline: Rep. Claudia Tenney : Many mass murderers ' end up being {Democrats} '
Edit: mascots
answer:
| Not Funny
|
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.
Q: I_JUMP I_JUMP I_TURN_LEFT I_TURN_LEFT I_WALK
A: jump twice and walk opposite left
****
Q: I_TURN_RIGHT I_TURN_RIGHT I_RUN I_TURN_RIGHT I_TURN_RIGHT I_RUN I_TURN_LEFT I_TURN_LEFT I_JUMP I_TURN_LEFT I_TURN_LEFT I_JUMP
A: jump opposite left twice after run opposite right twice
****
Q: I_TURN_RIGHT I_TURN_RIGHT I_RUN I_TURN_RIGHT I_TURN_RIGHT I_RUN I_TURN_RIGHT I_TURN_RIGHT I_RUN I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK
A: | run opposite right thrice and look around left
****
|
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 " . |
Detailed 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).
Problem:albatros
Solution: | adult feather |
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
|
Q: 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.
Just one month after the September 11 terrorist attacks, an unnamed Washington state woman was stopped for having a loaded two-shot derringer in her carry-on baggage at Sea-Tac Airport.
A: | Valid |
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.
Q: And we met in the Hague, in the Peace Palace, in the same room where the Yugoslav war crimes tribunal was taking place.
A: Sastali smo se u Haagu, u Palači mira, u istoj sobi gdje se odvijalo suđenje za ratne zločine počinjene na teritoriju bivše Jugoslavije.
****
Q: And I'm choosing to come out of a totally different kind of closet today to encourage you, to urge you, that if you are someone who has contemplated or attempted suicide, or you know somebody who has, talk about it, get help.
A: I donio sam odluku kako ću istupiti van danas iz potpuno drugačijeg ormara kako bih vas ohrabrio, kako bih vas natjerao, da ukoliko ste netko tko je promišljao ili pokušao izvršiti samoubojstvo, ili znate nekoga tko jest, pričajte o tome, potražite pomoć.
****
Q: And then he went on, and then he turned to me and said, "You're an American.
A: | I onda je nastavio, i okrenuo se meni i rekao, "Vi ste Amerikanac.
****
|
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: breast cancer
Entity 2: mucus
no
Entity 1: woman
Entity 2: kidney
yes
Entity 1: coral
Entity 2: two cell layer
| yes
|
Part 1. Definition
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].
Part 2. Example
3 episodes left I'm dying over here
Answer: not
Explanation: this tweet doesn't contain irony
Part 3. Exercise
You can spit on a rose but it's still a rose. #contempt #mockery
Answer: | not |
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.
12, 15, ['3449', '1217', '589', '3735', 'A', 'a', 'o', '9801', '133', '7263', 'n', '2489', 'o', '1631', '7153', 'A', 'B', '661', 'Z', 'w', '8247', '1605']
A: | 2489o16317153 |
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.
[EX Q]: Men heeft het weer over een loterij , om zo vooral de verantwoordelijkheid af te wentelen op Hogere Machten , in plaats van op zichzelf .
[EX A]: Pron V Pron Adv Prep Art N Punc Conj Adv Adv Art N Adv Prep V Prep Adj N Punc Prep N Conj Prep Pron Punc
[EX Q]: De gevelplaten zijn cognackleurige natuurstenen waarop zilverkleurige handjes zijn aangebracht , wat bij het zakken van de zon voor een aparte schittering moet zorgen .
[EX A]: Art N V Adj N Adv Adj N V V Punc Pron Prep Art V Prep Art N Prep Art Adj N V V Punc
[EX Q]: ' Een bijna perfecte anarchie '
[EX A]: | Punc Art Adv Adj N Punc
|
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.
Q: less { hop { filter_eq { all_rows ; stadium ; white hart lane } ; opened } ; hop { filter_eq { all_rows ; stadium ; ashton gate } ; opened } }
A: comparative
****
Q: eq { count { filter_eq { filter_eq { all_rows ; country ; united states } ; to par ; -6 } } ; 2 }
A: count
****
Q: eq { hop { nth_argmin { all_rows ; date ; 3 } ; team } ; san antonio }
A: | ordinal
****
|
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.
One example: JkbloNUq, nYblowj
Solution is here: b, j, k, l, n, o, q, u
Explanation: Here, 'JkbloNUq' is the longer string among the two input strings. Lowercasing it and finding all unique alphabets gives 'b, j, k, l, n, o, q, u'.
Now, solve this: APmguPqSbOBXAgfPrWKJfgzYgdL, opIUGUBXAgfPrWKJguLtS
Solution: | a, b, d, f, g, j, k, l, m, o, p, q, r, s, u, w, x, y, z |
You will be given a definition of a task first, then some input of the task.
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].
We all have them people on Instagram who put the most pointless hashtags #Can #you
Output: | not |
Detailed Instructions: 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.
Problem:Fact: paleontologists study something with worldwide interest.
Question: paleontologists study something with what type of interest?
Correct Answer: worldwide.
Solution: | an extraterrestrial. |
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.
[Q]: entity: child
before: in chair
after: at cord
attr: location
[A]: location of child was in chair before, and at cord afterwards.
[Q]: entity: tape
before: on roll
after: on floor
attr: location
[A]: location of tape was on roll before and on floor afterwards
[Q]: entity: liquid
before: warmer
after: colder
attr: temperature
[A]: | temperature of liquid was warmer before and colder 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: Academy Award.
Question: PersonX was an Academy Award winner but PersonY was just a fan so _ gave him for an autograph.
Answer: PersonX
[A]: PersonX was an Academy Award winner but PersonY was just a fan so _ asked him for an autograph.
[Q]: Context Word: immigration.
Question: PersonX had to pay PersonY an immigration bond because _ was an immigrant being detained without proper documentation.
Answer: PersonX
[A]: PersonX had to pay PersonY an immigration bond because _ was an ICE officer who detains those without proper documentation.
[Q]: Context Word: knitting.
Question: PersonX was better at knitting than PersonY because the hands of _ worked much faster.
Answer: PersonX
[A]: | PersonX was better at knitting than PersonY because the hands of _ worked much slower.
|
Given the task definition and input, reply with output. Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
Tweet: Kocham gościa z Kalkuty, tak ładnie pisze o dźwięku , Question: Is the tweet free of any cyberbullying (harmful) content?
| Yes |
Part 1. Definition
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.
Part 2. Example
['3', 'u', 'W', '8', 'j']
Answer: [['3', 'u', 'W', '8'], ['3', 'u', 'W', 'j'], ['3', 'u', '8', 'j'], ['3', 'W', '8', 'j'], ['u', 'W', '8', 'j']]
Explanation: The output is a list of length 5, containing lists of length 4. Each inner list is created by dropping one item if the input list. So this is a good example.
Part 3. Exercise
['6', 'r', 'T']
Answer: | [['6', 'r'], ['6', 'T'], ['r', 'T']] |
Instructions: 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.
Input: Behalve een reeks verfijningen van de aanpak van onder meer de financiële delinquentie , het hooliganisme , de strafuitvoering en minderjarigen in delinquente situaties , is nu in het door de ministerraad goedgekeurde V-plan een luik over ' een snelle en humane rechtsbedeling ' opgenomen .
Output: | Conj Art N N Prep Art N Prep Prep Num Art Adj N Punc Art N Punc Art N Conj Adj Prep V N Punc V Adv Prep Art Prep Art N V N Art N Prep Punc Art Adj Conj Adj N Punc V Punc |
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].
Ex Input:
This is what looks like, right? [Link]
Ex Output:
not
Ex Input:
Now I remember why I buy books online @WaterstonesMK #servicewithasmile
Ex Output:
ironic
Ex Input:
Big thanks to my teachers for the FOUR tests I have to take tomorrow #woohoo
Ex Output:
| ironic
|
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.
[Q]: Command: eq { hop { nth_argmin { all_rows ; date ; 2 } ; opponents } ; 1 . fc heidenheim }, interpretation: for the yards records of all rows , most of them are greater than 20 .
[A]: no
[Q]: Command: less { hop { filter_eq { all_rows ; incumbent ; otto passman } ; first elected } ; hop { filter_eq { all_rows ; incumbent ; t ashton thompson } ; first elected } }, interpretation: the sum of the score record of all rows is 29 .
[A]: no
[Q]: Command: and { only { filter_eq { all_rows ; government financial liabilities as % of gdp ( end 2003 ) ; 157.5 % } } ; and { eq { hop { filter_eq { all_rows ; government financial liabilities as % of gdp ( end 2003 ) ; 157.5 % } ; currency } ; yen } ; eq { hop { filter_eq { all_rows ; government financial liabilities as % of gdp ( end 2003 ) ; 157.5 % } ; country } ; japan } } }, interpretation: select the rows whose government financial liabilities as % of gdp ( end 2003 ) record fuzzily matches to 157.5 % . there is only one such row in the table . the currency record of this unqiue row is yen . the country record of this unqiue row is japan .
[A]: | yes
|
Detailed Instructions: 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
Q: Never was a great fan but this does change my opinion of her.
A: | 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
['A', '2969', 'E', 'A', 'O', '5809', 'l', '9613', '9365', '3181', '7555', '1881']
Output: | 5 |
You will be given a definition of a task first, then some input of the task.
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.
The Plough is a pub serving Indian food situated near to Café Rouge. It is moderately priced, but isn't kids friendly.
Output: | name[The Plough], eatType[pub], food[Indian], priceRange[moderate], familyFriendly[no], near[Café Rouge] |
Provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.': Period symbol is used for symbols denoting Punctuations/Separations such as comma, period, backticks etc.,
'ADJ': Adjectives are words that typically modify nouns and specify their properties or attributes,
'ADP': Adposition is a cover term for prepositions and postpositions,
'ADV': Adverbs are words that typically modify verbs for such categories as time, place, direction or manner,
'CONJ': A word used to connect clauses or sentences or to coordinate words in the same clause,
'DET': Determiners are words that modify nouns or noun phrases and express the reference of the noun phrase in context,
'NOUN': Nouns are a part of speech typically denoting a person, place, thing, animal or idea,
'NUM': A numeral is a word, functioning most typically as a determiner, adjective or pronoun, that expresses a number and a relation to the number, such as quantity, sequence, frequency or fraction,
'PRT': Particles are function words that must be associated with another word or phrase to impart meaning and that do not satisfy definitions of other universal parts of speech,
'PRON': Pronouns are words that substitute for nouns or noun phrases, whose meaning is recoverable from the linguistic or extralinguistic context,
'PROPN': A proper noun is a noun (or nominal content word) that is the name (or part of the name) of a specific individual, place, or object,
'VERB': A verb is a member of the syntactic class of words that typically signal events and actions, can constitute a minimal predicate in a clause, and govern the number and types of other constituents which may occur in the clause,
'X': The tag X is used for words that for some reason cannot be assigned a real part-of-speech category.
--------
Question: Sentence: Intermec Corp. , offering of 1,050,000 common shares , via Goldman , Sachs & Co. and Piper , Jaffray {{ & }} Hopwood Inc .
Word: &
Answer: CONJ
Question: Sentence: As many as 70 U.K. and international banks stand *-1 {{ to }} lose several hundred million pounds should the decision be upheld *-2 and set a precedent for other municipalities .
Word: to
Answer: PRT
Question: Sentence: Despite the harsh exchanges , the U.S. and China still seem *-1 to be looking for a way 0 * to mend relations , which *T*-244 have deteriorated into what Mr. Nixon referred to *T*-2 as `` the greatest crisis in Chinese-American relations '' since his initial visit to China {{ 17 }} years ago *T*-3 .
Word: 17
Answer: | NUM
|
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 |
Detailed Instructions: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content.
Problem:@anonymized_account @anonymized_account Zatem to jesteś Ty i Twój kolega Ziobro. Kwestią jest, które zero jest większe.
Solution: | 1 |
Given the task definition and input, reply with output. 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
""however, before projected earnings from other employment opportunities not sought or accepted by the discharged employee can be applied in mitigation, the employer must show that the other employment was comparable, or substantially similar, to that of which the employee has been deprived; the employee's rejection of or failure to seek other available employment of a different or inferior kind may not be resorted to in order to mitigate damages.
| non-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 |
Detailed Instructions: 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?"
Problem:Fact: cigarettes causes direct damage to the lungs.
Solution: | What do cigarettes cause? |
Q: 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.
Sorry Fish
A: | i have a little fish he like to go swish swish swish he's not like an ordinary fish he lay on a dish i have a sorry sorry fish for eat off my dish |
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).
Q: Entity 1: ammonite
Entity 2: jaw bone
A: | no |
Please answer the following question: Generate a 3-star review (1 being lowest and 5 being highest) about an app with package com.gpl.rpg.AndorsTrail.
A: | Needs more work. Could be great when finished |
Given a negotiation between two participants, answer 'Yes' if both participants agree to the deal, otherwise answer 'No'.
THEM: i'd like the book and the hats. you can have all the balls. YOU: ok deal. | Yes |
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: The decision * to make the bid for Nekoosa , for example , was made *-2 only after all six members of Georgia-Pacific 's management committee signed onto the deal -- even though Mr. Hahn knew 0 he wanted *-3 to go after the company early on , says {{ 0 }} *T*-1 Mr. Correll .
Word: 0
Student: | X |
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