ostapeno/flanv2_100k huggingface dataset:
user: Detailed Instructions: 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.
See one example below:
Problem: Sentence: David A. DiLoreto , president of metal container division , was named *-1 to the additional post of group vice president , packaging products , at this packaging {{ , }} industrial and aerospace products concern , *-1 succeeding Delmont A. Davis , who *T*-3 was named *-2 president and chief operating officer in August . 
Word: ,
Solution: .
Explanation:  ',' is assigned the period (.) symbol since it denotes a punctuation.

Problem: Sentence: Williams shares , which *T*-2 were *-2 to be delisted *-1 from the New York Stock Exchange after the close of composite trading yesterday , closed at $ 23.25 *U* , off 12.5 cents {{ . }} 
Word: .
Solution:

assistant: .
user: In this task, you are given a sentence in the english language. Here, your job is to convert english sentence into the bulgarian language.

Input: Consider Input: The causality issue is a highly complex one as it involves the interplay of a number of demand and supply factors.

Output: Въпросът с причинните връзки е много сложен, тъй като включва взаимодействие на редица фактори на търсенето и предлагането.


Input: Consider Input: Rear-view mirrors for wheeled agricultural or forestry tractors (vote)

Output: Огледала за обратно виждане на колесни селскостопански или горски трактори (кодифицирана версия) (вот)


Input: Consider Input: 12.



assistant: Output: 12.
user: You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
We would like you to classify each of the following sets of argument pairs (discussing Gun Control)  into either SIMILAR or NOT SIMILAR. A pair of arguments is considered SIMILAR if the arguments are about the same FACET (making the same argument), and is considered NOT SIMILAR if they do not have the same FACET. A FACET is a low level issue that often reoccurs in many arguments in support of the author's stance or in attacking the other author's position.

Sent1: Ian brought up the point that guns make you more likely to kill a person. 
 Sent2: You can't be a man unless you're swinging a gun, and no matter how many guns you buy, it's still missing for you .
Solution: Not similar
Why? The first argument supports gun control by saying possessing guns make people likely to kill, the second disapproves it by saying men need guns.

New input: Sent1: We support letting people who already have guns actually being allowed to carry them, but I haven't seen anyone saying that we have to get hundreds of thousands of more guns bought up and distributed.
 Sent2: Therefore, we should not allow anyone to carry a gun on a plane, because these people may either be law abiding or not.
Solution:

assistant: Not similar
user: You are given a sentence in English. Your job is to translate the English sentence into Arabic.

Ex Input:
So here you'll see, on the top right, what the robot sees with the camera.

Ex Output:
ترون هنا في أعلى اليمين ، ما يراه الروبوت بالكاميرا.


Ex Input:
It's not one of these statistics which is very doubtful.

Ex Output:
إنها ليست إحدى تلك الإحصائيات المشكوك فيها.


Ex Input:
We love farmers' markets, we love small family farms, we talk about local food, we eat organic.

Ex Output:


assistant: فنحن نحب أسواق المزراع ونحب المزارع العائلية الصغيرة ونتحدث عن الطعام المحلي ونأكل الأطعمة العضوية
user: You are given a sentence in English. Your job is to translate the English sentence into Hebrew.

Let me give you an example: Monterey is one of those.
The answer to this example can be: מונטריי היא אחת מהם.
Here is why: The English sentence is correctly translated into Hebrew. The city `Monterey` is correctly translated as `מונטריי`.

OK. solve this:
So what did we discover?
Answer:

assistant: אז מה מצאנו?
user: Given a set of five words, generate the word from the set that does not belong (i.e. is the least relevant) with the other words. Words are separated by commas.
One example: excavator, crane, pelican, hoist, upraise
Solution is here: pelican
Explanation: The common category here are words related to construction. A pelican is not related to construction because it is a type of bird.

Now, solve this: chunky, obese, fiber, fat, bulky
Solution:

assistant: fiber
user: Part 1. Definition
You are given a question. You need to detect which category better describes the question. A question belongs to the description category if it asks about description and abstract concepts. Entity questions are about entities such as animals, colors, sports, etc. Abbreviation questions ask about abbreviations and expressions abbreviated. Questions regarding human beings, description of a person, and a group or organization of persons are categorized as Human. Quantity questions are asking about numeric values and Location questions ask about locations, cities, and countries. Answer with "Description", "Entity", "Abbreviation", "Person", "Quantity", and "Location".
Part 2. Example
What's the most common name in nursery rhymes ?
Answer: Person
Explanation: This question is about people's names. So, the output should be "Person".
Part 3. Exercise
What cocktail do you concoct with whisky and sweet vermouth ?
Answer:

assistant: Entity
user: Part 1. Definition
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the numerical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no numerical element is in the list.
Part 2. Example
['238', 'h', '92', 'U', '2799']
Answer: 1, 3, 5
Explanation: Here, the numerical elements in the input list are '238', '92' and '2799' and they are at positions '1', '3', and '5', respectively.
Part 3. Exercise
['d', '4827', '6501', '8945', '6831', '4105', '4993', '4641', 'g', '3151', 'J', 'N', '6913', 'I', 'J', '8229', '9897', 'q', 'x', '3503', '7235', '6201', '2009', '9215', '2801', 't', 'W', '8535']
Answer:

assistant: 2, 3, 4, 5, 6, 7, 8, 10, 13, 16, 17, 20, 21, 22, 23, 24, 25, 28
user: Detailed Instructions: In this task, you are given a sentence in Persian, and your task is to translate it into English.
See one example below:
Problem: سم ، خوبي ، تو حالت خوبه .
Solution: sam . alright , youre alright .
Explanation: This is a good example. The above sentence is correctly translated from Persian to English.

Problem: ممکنه ازت بخوام سيبيل را تا داخل همراهي کني .
Solution:

assistant: may i ask you to escort sybil back inside .
user: In this task, you are given a premise sentence in Persian and a label in English. Label determines whether a hypothesis sentence entails, contradicts, or is neutral with respect to the given premise sentence. You have to generate the hypothesis sentence based on the label and the premise sentence. Your sentence should be fluent and grammatically correct. Even though there exist multiple answers, we only need a single answer.

Example input: Premise: داریوش فرمان داد تا کار دوباره آغاز شود و بر سر راه چاه‌هایی کنده شوند تا آب آشامیدنی برای کارگران بدست آید. <sep> Label: Entailment
Example output: آبرسانی برای کارگران شروع شد. 
Example explanation: This is a good example, and the output entails the given premise sentence.
Q: Premise: در فرهنگی که Xena و Hercules در برنامه های تلویزیونی قرار گرفته اند ، بسیار جالب تر است که تصور کنید که شما یک جنگجوی شجاعی هستید که جنگی فعالیت می کنید تا اینکه قبول کنید که شما یک چاقالو هستید که جسورانه ترین کارتان تهیه پیش نویسی است که جسورانه نوشته شده. <sep> Label: Neutral
A:

assistant: Xena و Hercules هر دو نمایش های خوبی در CBS داشته اند.
user: Given the task definition, example input & output, solve the new input case.
In this task, you're given a passage, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both passage and link information to create the question. Note that the answer to the question should be exactly the given answer, and if the answer is none, the answer to the question shouldn't be obtainable from the passage or linked information.
Example: Passage: The group was occasionally diverted from strategic missions to carry out air support and interdiction missions. It supported Operation Overlord, the invasion of Normandy by attacking transportation targets, including bridges, along with airfields and strong points in France. On D Day, the squadron and the rest of the 446th Group led the first heavy bomber mission of the day. The 446th aided ground forces at Caen and Saint-Lô during July by hitting bridges, gun batteries, and enemy troops. During Operation Market Garden, the attempt to seize a bridgehead across the Rhine in the Netherlands, the 704th dropped supplies to allied troops near Nijmegen. It struck lines of communications during the Battle of the Bulge. During Operation Varsity in March 1945, it supplied ground and airborne troops near Wesel. The squadron flew its last combat mission on 25 April 1945 against Salzburg, Austria. The group had flown 273 missions and had lost 58 aircraft during the war,
. Link Information: Operation Market Garden was a failed World War II military operation fought in the Netherlands from 17 to 25 September 1944. Answer: from 17 to 25 September 1944
Output: When did the operation during which the 704th dropped supplies to allied troops near Nijmegen begin?
The passage describes the 704th's actions during Operation Market Garden, and the answer specifies when the operation happened.

New input case for you: Passage: The game began shortly after 4 p.m. with Greg Maddux pitching for Atlanta and Masato Yoshii starting for the Mets. The Mets took an early 2–0 lead in the bottom of the first inning as John Olerud hit his second home run in as many days with Rickey Henderson on first. The lead lasted into the fourth inning, when Atlanta struck back with consecutive doubles by Bret Boone and Chipper Jones, eventually knotting the score at 2–2 when Brian Jordan singled home Jones. Mets Manager Bobby Valentine was immediately prompted to remove Yoshii from the game in favor of Orel Hershiser, which began a run on pitching changes that resulted in the Mets emptying their bullpen by game's end, relying on starter Kenny Rogers and rookie Octavio Dotel for key innings, and might have gone to Game 4's starter Rick Reed had the game progressed past the fifteenth inning. In all, the Mets used a postseason record nine pitchers in this game.
 Link Information: Robert John Valentine (born May 13, 1950) Answer: 49
Output:

assistant: What age was the Mets' manager when he switched Yoshii for Orel Hershiser?
user: Part 1. Definition
Given a sentence in Chinese, generate a new Chinese sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Part 2. Example
静音开关用于激活灯光 。
Answer: 使用灯开关命令取出针头 。
Explanation: This is a good example of a change in the input. The created sentence is semantically similar to the input as both are talking about the lights and the changes in the sentence follows the commonsense knowledge.
Part 3. Exercise
你喝咖啡从杯子。
Answer:

assistant: 你指望一个CEO来喝咖啡
user: In this task you will be given a string that only contains single digit numbers spelled out. The input string will not contain spaces between the different numbers. Your task is to return the number that the string spells out. The string will spell out each digit of the number for example '1726' will be 'oneseventwosix' instead of 'one thousand seven hundred six'.
One example: twotwoonesixzeronine
Solution is here: 221609
Explanation: The string is properly converted into a number based on the spelling of each digit. The string started with 'twotwo' therefore the number also started with '22'. This is a good example.

Now, solve this: ninefourthreezeroonefivefivethreeonethreenine
Solution:

assistant: 94301553139
user: In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the coreference link with gendered pronouns and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable.

Input: Consider Input: Sentence: The lawyer looked into illegal accusations against the cashier, because he needed to understand the case.
 Profession: cashier

Output: Unidentifiable


Input: Consider Input: Sentence: The accountant contacted the lawyer because he is an expert in handling this kind of case.
 Profession: accountant

Output: Unidentifiable


Input: Consider Input: Sentence: The housekeeper talked to the salesperson for a while and rejected his product.
 Profession: salesperson



assistant: Output: Identifiable
user: Part 1. Definition
In this task you will be given a list, of lists, of numbers. Each list is presented with brackets and comma-separated values. For example, a list of numbers is [1,2,3] and a list of two lists of numbers is [[1,2],[3,4,6]]. You should sum up the values at every position of every inner list and put it as an element of your answer, that is, you should sum the first members of each inner list together and put it as the first element of the list, then sum the second members of each inner list together and put it as the second element of your list, etc. The output should be a list of numbers with the same length as the longest inner list.
Part 2. Example
[[6, 3, 8], [7, -5]]
Answer: [13, -2, 8]
Explanation: We start by summing up the first elements of all the lists: 6 + 7 = 13, so the first element of the output is 13. For the second element of the output, we sum up the second elements of all the lists: 3 + (-5) = -2. One of the lists doesn't have a third element, so the third element of the answer is: 8 + 0 = 8.
Part 3. Exercise
[[5, 40, 8, -35, 98, -56, 68, -21], [26, -66, -36, 72, -9, 9], [80, -49, 95, 68], [-43, -86, 58, 95], [70, -92, -93, 52], [-20, -45, -80, 78, -52, 96, 6, 32], [-33, 5, 57, -66, -51, 41, -32, -38]]
Answer:

assistant: [85, -293, 9, 264, -14, 90, 42, -27]
user: Given the task definition, example input & output, solve the new input case.
In this task, you're given a context, a sentence,  and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to write the character's motivation by doing a specific job, which is given in the sentence. You can use context to find the motivation; however, all the inputs do not provide context. Also, in some inputs, there can be zero motivation; output, 'None' in this case.
Example: Context: Jake was frustrated from work. 
 Sentence: He decided to go for a walk at night. 
 Character: Jack
Output: to have fun
Jack was frustrated from work; so, little walk at night can refresh his mood and he can have fun.

New input case for you: Context: Bill and Amy dated for four years. 
 Sentence: They finally decided to get engaged. 
 Character: Father
Output:

assistant: None
user: Given the task definition, example input & output, solve the new input case.
Given a category and a set of five words, find the word from the set that does not belong (i.e. is the least relevant) with the other words in the category. Words are separated by commas.
Example: Category: construction 
Words: excavator, crane, pelican, hoist, upraise
Output: pelican
A pelican is not related to construction because it is a type of bird.

New input case for you: Category: measurement unit 
Words: foot, pound, mile, ankle, inch
Output:

assistant: ankle
user: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that particular part. Your labels can be one among the following: 'No emotion', 'surprise', 'happiness', 'sadness', 'anger', 'disgust'.

Example Input:  Person1:      John's father got married again .  
 Person2:  Married whom ?  
 Person1:       If I tell you . , you must be completely taken aback .  
 Person2:  Come on . Tell me what happened .  
 Person1:       He married a girl who is only eighteen !  
 Person2:  Is that true ? But anyhow , it's none of our business , isn't it ? 
Example Output: No emotion,No emotion,No emotion,No emotion,No emotion,surprise

Example Input:  Person1:      Hi Bill , I saw your grandma yesterday .  
 Person2:  Oh where was that ?  
 Person1:       I was running around the track at my college and there she was walking around the same track .  
 Person2:  Grannie always tries to stay fit and healthy.She is always making us kids eat the proper foods .  
 Person1:       Well , it pays off for her.How old is she anyway ?  
 Person2:  She will be 86 next month .  
 Person1:       That is truly amazing ! 
Example Output: No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,surprise

Example Input:  Person1:      Just dab it all over your face and then take a look at the symbols that appear . 
 Person2:  Yeah ... hearts , stars and some weird looking things . 
 Person1:       Those are money bags , and they represent your financial situation . 
 Person2:  So decode this for me , Madame Psycho . 
 Person1:       That's Madame Psychic to you . 
 Person2:  I'm waiting ... 
 Person1:       Well , you have three hearts — lucky in love tonight . Dress up and go on a date ! 
Example Output:

assistant: No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion
user: Generate a correct and concise answer for the question based on the words in the context.

Ex Input:
Context : In 1918 tragedy struck, when both Rose Cleveland and Nelly Erichsen were carried off by the 1918 flu pandemic which decimated the post-war World. 
Question : What diseased did Nelly Erichsen struggle with?

Ex Output:
1918 flu pandemic


Ex Input:
Context : Statesmen of World War I is an oil on canvas painting by Sir James Guthrie, completed in 1930, shortly before Guthrie's death. 
Question : What material was used for Statesmen of World War I?

Ex Output:
canvas


Ex Input:
Context : Julius Bergman (born November 2, 1995) is a Swedish professional ice hockey defenceman currently playing for the San Jose Barracuda in the American Hockey League (AHL) as a prospect of the San Jose Sharks in the National Hockey League (NHL). 
Question : What team is Julius Bergman on?

Ex Output:


assistant: San Jose Sharks
user: 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: Consider Input: Statement: ২০০৬ এর স্ট্যানফোর্ড এনসাইক্লোপিডিয়া অফ ফিলোসফি উপপনিবেশবাদ শব্দটি দ্বারা "<MASK>, অস্ট্রেলিয়া এবং আফ্রিকা ও এশিয়ায়  ইউরোপীয় বসতি স্থাপন এবং বিশ্বের রাজনৈতিক নিয়ন্ত্রণের প্রক্রিয়া বর্ণনা করতে ব্যবহার করেছে। এটি উপনিবেশবাদ এবং সাম্রাজ্যবাদের মধ্যে পার্থক্য নিয়ে আলোচনা করেছে এবং বলেছে যে "দুটি পদাবলীর মধ্যে ধারাবাহিকভাবে পার্থক্য করার অসুবিধা দেখে এই প্রবেশিকাটি উপনিবেশবাদকে একটি বিস্তৃত ধারণা হিসাবে ব্যবহার করে, যা ষোড়শ থেকে বিংশ শতাব্দীর অবধি শেষ হওয়া ইউরোপীয় রাজনৈতিক আধিপত্যের প্রকল্পকে বোঝায় যা ১৯৬০ এর দশকের জাতীয় মুক্তি আন্দোলনের মাধ্যমে শেষ হয়।

 Option A: ঔপনিবেশিক

 Option B: হোক্কাইডোর

 Option C: আমেরিকা

 Option D: মেসোআমেরিকান

Output: আমেরিকা


Input: Consider Input: Statement: রাজ্যসভার সদস্যসংখ্যা সর্বাধিক ২৫০ হতে পারে। এঁদের মধ্যে ২৩৮ জন রাজ্য বিধানসভা এবং যেসব কেন্দ্রশাসিত অঞ্চলে বিধানসভা রয়েছে সেখানকার বিধানসভার সদস্যদের দ্বারা পরোক্ষভাবে নির্বাচিত হন (শুধুমাত্র জাতীয় রাজধানী অঞ্চল <MASK> ও পুদুচেরির বিধানসভা রয়েছে)। রাজ্যের জনসংখ্যার অনুপাতে রাজ্যসভার আসন বণ্টিত হয়। অপর বারো জনকে ভারতের রাষ্ট্রপতি মনোনীত করেন।

 Option A: দিল্লি

 Option B: পুদুচেরি

 Option C: লোকসভা

 Option D: বিধানসভা

Output: দিল্লি


Input: Consider Input: Statement: আর্না সলবার্গ (Erna Solberg; জন্ম: ২৪ ফেব্রুয়ারি, ১৯৬১) বার্গেন এলাকায় জন্মগ্রহণকারী <MASK> বর্তমান প্রধানমন্ত্রী ও বিশিষ্ট নারী রাজনীতিবিদ। ২০০৪ সাল থেকে নরওয়ের কনজারভেটিভ পার্টির নেতৃত্ব দিয়ে আসছেন। ২০১৩ সালের সংসদ নির্বাচনে মধ্য-ডানপন্থী জোট সংখ্যাগরিষ্ঠ আসন লাভ করে। এরফলে ১৪ অক্টোবর, ২০১৩ তারিখে তিনি নরওয়ের প্রধানমন্ত্রী হিসেবে ইয়েন স্টলটেনবার্গের স্থলাভিষিক্ত হন।

 Option A: জ্যামাইকায়

 Option B: প্রধানমন্ত্রী

 Option C: Protestanism

 Option D: নরওয়ের



assistant: Output: নরওয়ের
user: In this task, you are given a sentence in the Japanese language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).

Input: Consider Input: 4つの爆発はタイの首都の異なる場所で、現地時間午後6時（GMT11時）頃にほぼ同時に起きた。

Output: Four explosions went off almost simultaneously in different parts of Thailand's capital city, at around 6:00 p.m. local time (1100 GMT).


Input: Consider Input: 「この３０年間、民主主義の広がりが唯一の答えであると奨励してきた」

Output: "I have promoted the spread of democracy as the only answer for thirty years."


Input: Consider Input: 24歳のカメラマンは、抗議についての情報を広めるために、自分のビデオを動画共有サイトへアップした市民のジャーナリストだった。



assistant: Output: The 24-year-old camera operator was a citizen journalist who uploaded his videos to video-sharing sites to spread information about the protests.