ostapeno/flanv2_100k huggingface dataset:
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.
In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words.

We propose a local coherence model based on a convolutional neural network that operates over the entity grid representation of a text. The model captures long range entity transitions along with entity-specific features without loosing generalization, thanks to the power of distributed representation. We present a pairwise ranking method to train the model in an end-to-end fashion on a task and learn task-specific high level features. Our evaluation on three different coherence assessment tasks demonstrates that our model achieves state of the art results outperforming existing models by a good margin.
Solution: A Neural Local Coherence Model
Why? This statement "A Neural Local Coherence Model" is taken from the subtext "convolutional neural network" and its explanation in the passage. This is a positive example because the title belongs to the mentions in the passage

New input: We describe a method to produce a network where current methods such as DeepFool have great difficulty producing adversarial samples. Our construction suggests some insights into how deep networks work. We provide a reasonable analyses that our construction is difficult to defeat, and show experimentally that our method is hard to defeat using several standard networks and datasets. We use our method to produce a system that can reliably detect whether an image is a picture of a real scene or not. Our system applies to images captured with depth maps (RGBD images) and checks if a pair of image and depth map is consistent. It relies on the relative difficulty of producing naturalistic depth maps for images in post processing. We demonstrate that our system is robust to adversarial examples built from currently known attacking approaches.
Solution:

assistant: SafetyNet: Detecting and Rejecting Adversarial Examples Robustly
user: A text is given in Hindi. Translate it from the Hindi language to the Oriya language. The translation must not omit or add information to the original sentence.

Example Input: प्रधानमंत्री इस अवसर पर उपस्थित जन समूह को संबोधित भी करेंगे।
Example Output: ଆସନ୍ତାକାଲି ଗୁଜରାଟ ଗସ୍ତରେ ଯିବେ ପ୍ରଧାନମନ୍ତ୍ରୀ

Example Input: अगले 5 साल को हमें 'बदलाव के लिए पढ़ाने, सशक्त बनाने के लिए शिक्षित करने और नेतृत्व के लिए सीखने' के लिए बनाना है।
Example Output: ଆସନ୍ତୁ ଆସନ୍ତା 5 ବର୍ଷକୁ ‘ରୂପାନ୍ତରଣ ପାଇଁ ଶିକ୍ଷା, ସଶକ୍ତୀକରଣ ପାଇଁ ଶିକ୍ଷା ଓ ନେତୃତ୍ୱ ପାଇଁ ଶିକ୍ଷା’ରେ ପରିବର୍ତ୍ତନ କରିବା,” ବୋଲି ପ୍ରଧାନମନ୍ତ୍ରୀ ପ୍ରକାଶ କରିଛନ୍ତି ।

Example Input: आयोजन के तहत निर्यात-आधारित निर्माण और दक्षिण एवं दक्षिण-पूर्व एशिया की उभरती हुई अर्थव्यवस्थाओं को सेवाओं के संबंध में राज्य द्वारा प्रदान किए जाने वाले अवसरों का ब्यौरा उपलब्ध किया जाएगा।
Example Output:

assistant: ଗଣତାନ୍ତ୍ରିକ ପଦ୍ଧତିରେ ଅନୁଷ୍ଠିତ ହେଉଥିବା ନିର୍ବାଚନରେ ଅଂଶ ଗ୍ରହଣ କରିବାକୁ ନାଗାଲାଣ୍ଡର ଲୋକମାନଙ୍କୁ କେନ୍ଦ୍ର ସ୍ୱରାଷ୍ଟ୍ର ରାଷ୍ଟ୍ରମନ୍ତ୍ରୀ କିରେନ୍ ରିଜିଜୁ ଅନୁରୋଧ କରିଛନ୍ତି । ନାଗାଲାଣ୍ଡର ଲୋକଙ୍କୁ ଏକ ବାର୍ତ୍ତାରେ ସେ କହିଛନ୍ତି, ନାଗା ଲୋକଙ୍କ ଆବେଗ ସହ କେନ୍ଦ୍ର ସରକାର ଅବଗତ ଅଛନ୍ତି । ସେମାନଙ୍କ ସମସ୍ୟାର ସମାଧାନ ପାଇଁ ସରକାର ପ୍ରତିଶ୍ରୁତିବଦ୍ଧ । ସମାଧାନର ଉପାୟ ଯଥାଶୀଘ୍ର ଲାଗୁ କରିବାକୁ ସରକାର ଉଦ୍ୟମ କରୁଛନ୍ତି ।
user: TASK DEFINITION: Given a sentence in English language, translate the sentence to Somali language keeping the meaning of the original sentence intact
PROBLEM: English sentence: 13 And thou saidst in thy heart: I will ascend into heaven, I will exalt my throne above the stars of God, I will sit in the mountain of the covenant, in the sides of the north.

SOLUTION: 13 Waxaad qalbigaaga iska tidhi, Anigu waxaan kori doonaa samada, oo carshigaygana xiddigaha Ilaah waan ka sara marin doonaa, oo weliba waxaan ku fadhiisan doonaa buurta shirka ee darafka woqooyi ku taal.

PROBLEM: English sentence: 7 And when the king of Israel had read the letter, he rent his garments, and said: Am I God, to be able to kill and give life, that this man hath sent to me, to heal a man of his leprosy? mark, and see how he seeketh occasions against me.

SOLUTION: 7 Oo markii boqorkii dalka Israa'iil warqaddii akhriyey ayuu dharkiisii iska jeexjeexay oo wuxuu yidhi, War ma anigaa ah Ilaah wax dili kara, waxna noolayn kara? Oo ninkanu ma saasuu nin iigu soo diray si aan baraska uga bogsiiyo?

PROBLEM: English sentence: 1 The LORD reigneth, he is clothed with majesty; the LORD is clothed with strength, wherewith he hath girded himself: the world also is stablished, that it cannot be moved.

SOLUTION:

assistant: 1 Rabbigaa taliya, oo wuxuu huwan yahay haybad, Rabbigu waa huwan yahay, oo wuxuu dhexda ku xidhay xoog, Duniduna waxay u dhisan tahay si aan la dhaqaajin karin.
user: In this task, you are given a sentence in the Gujarati language and a corresponding English translation of the Gujarati sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".

Example input: Gujarati: ઘેટાંની ટોળાં એક ગોચરમાં ચરાઈ સાથે મળીને ઊભા છે. 
 English: A herd of sheep standing together grazing in a pasture.
Example output: Yes
Example explanation: These sentences also talk about a standing herd of sheep, thus we can say that it is a correct translation from Gujarati to English.
Q: Gujarati: એક સિંક જે બાથરૂમમાં મિરર ધરાવે છે. 
 English: A green passenger bus traveling down a street.
A:

assistant: No
user: This task is to translate the Telugu Language Input to English Language Output

[Q]: 43 వ్యాఖ్యలు
[A]: 46 Comments


[Q]: వారి వెనుక గర్ల్స్ క్యాన్సర్ జోడియాక్ టాటూ. ఇది మరింత ఆకర్షణీయమైన మరియు సొగసైన చేస్తుంది
[A]: Girls Cancer Zodiac Tattoo on their back. This makes them more attractive and elegant


[Q]: చిరునామాలు మరియు సంస్థలు గురించి సమీక్షలు, Kazakhstan
[A]:

assistant: Addresses and reviews about the companies, Kazakhstan
user: 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.

[EX Q]: Sentence: Analysts were disappointed *-112 {{ that }} the enthusiasm *ICH*-2 0 investors showed *T*-1 for stocks in the wake of Georgia-Pacific 's $ 3.18 billion *U* bid for Great Northern Nekoosa evaporated so quickly . 
Word: that
[EX A]: ADP

[EX Q]: Sentence: California 's education department suspects adult responsibility for erasures at 40 schools that *T*-85 changed wrong answers to right ones {{ on }} a statewide test . 
Word: on
[EX A]: ADP

[EX Q]: Sentence: But a 1986 law that *T*-1 supposedly replaced lawsuits over children 's vaccines with a compensation fund has {{ predictably }} led to even more litigation . 
Word: predictably
[EX A]:

assistant: ADV
user: In this task, you are given a sentence in Persian, and your task is to translate it into English.

[Q]: و بعدها با سر بلندی از تمام آزمایش‌های زیبایی و قدرت می‌گذشتند و به آفرینش مفاهیم ضمنی بی‌پایان و انتقال‌ناپذیر کمک می‌کردند در می‌یافت،
[A]: and that later stood all tests of beauty and power and developed tremendous and incommunicable connotations.


[Q]: اجرای آنچه را باید در مورد من اعمال شود برعهده بگیرد.
[A]: without disturbing your s sensitive conscience.


[Q]: سرگرمی هم باشد و ترتیبی داده بود که روزهای یکشنبه،
[A]:

assistant: and that he always arranged to leave the house on Sundays,
user: Given the task definition, example input & output, solve the new input case.
Given a question and its paraphrases, answer the question. The answer should exactly answer all the questions given without any ambiguity. Don't give partial answers.
Example: Questions: ['what is the amount of us representatives of nevada?', 'what are the us representative number for nevada?','what is the number of us representatives in nevada?']
Output: 4
The output answer is the exact answer for the given questions

New input case for you: Questions: ["what was barack obama's age when he married michelle obama?"]
Output:

assistant: 31 years
user: Teacher: You are given a sentence, a question and two answer options ('A' and 'B'). Your task is to find the correct answer (return the string of the correct option, not 'A' or 'B') for the given question.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Sentence: Jacob and Benny are squatting at the gym. Jacob has thin frail legs and Benny has big strong legs. Question: Who squats less weight? (A) Jacob (B) Benny
Solution: Jacob
Reason: Typically, people with thin frail legs squat less weight than people with big strong legs, so the answer is Jacob.

Now, solve this instance: Sentence: Vicky tried to bend a rubber tube into a circle. She then tried to do the same thing with a glass tube. One of them bent into a circle and the other one broke. Question: Which one did she successfully bend into a circle? (A) the rubber tube (B) the glass tube
Student:

assistant: the rubber tube
user:  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, as a result of the Head, PersonX may feel what is mentioned in the Tail or not. In this task, the feeling is an emotional reaction on the part of X or other participants in an event. For example, as a result of gift-giving, X might feel good about [one]self. 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.

Example Input: Head: PersonX feels nostalgic<sep>Tail: happy
Example Output: Yes

Example Input: Head: PersonX makes a comment<sep>Tail: curious
Example Output: Yes

Example Input: Head: PersonX asks PersonY's boyfriend<sep>Tail: to be informed
Example Output:

assistant: No
user: In this task, you are given sentences from movie reviews. The task is to classify a sentence as "POS" if the sentiment of the sentence is positive or as "NEG" if the sentiment of the sentence is negative
One example is below.
Q: It 's a lovely film with lovely performances by Buy and Accorsi .
A: POS
Rationale: The sentiment of the sentence is positive. Hence, the label is 'POS'.
Q: One can only assume that the jury who bestowed star Hoffman 's brother Gordy with the Waldo Salt Screenwriting award at 2002 's Sundance Festival were honoring an attempt to do something different over actually pulling it off
A:

assistant: NEG
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.
In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is intentionally offensive, 2) no, otherwise. Also, generate label 'no' for offensive statements that appear to be unintentional, or non-offensive statements that are underhandedly offensive.  Warning: the examples and instances may contain offensive language.

Living alone rocks. Being sick and living alone sucks. Will bake someone many a baked good for some NyQuil / DayQuil rn.
Solution: No
Why? This is a good example of a post that is not intended to offend. There is no sign of intention to offend and no offensive language is used. This is simply a post about the pitiful state of the poster.

New input: These hoes don't like a nigga they love my money these niggas don't like a nigga they all want some'n! http://t.co/iUGyRIMr4D
Solution:

assistant: No
user: In this task, you are given a sentence from the research paper and the category to which it belongs. Your task is to classify whether the given category is correct or not by providing "True" and "False", respectively. Here are the definitions for the categories: Background (Why is this problem important? What relevant works have been created before? What is still missing in the previous works? What are the high-level research questions? How might this help other research or researchers?), Purpose (What specific things do the researchers want to do? What specific knowledge do the researchers want to gain? What specific hypothesis do the researchers want to test?), Method (How did the researchers do the work or find what they sought? What are the procedures and steps of the research?), or Finding (What did the researchers find out? Did the proposed methods work? Did the thing behave as the researchers expected?). ",

Example Input: Sentence: Methods : A GeXP-based multiplex RT-PCR assay ( GeXP assay ) was developed to detect simultaneously sixteen different respiratory virus types/subtypes. 
 Section: method
Example Output: True

Example Input: Sentence: Characterizing novel or re-emerging infections is aided by the availability of pathogen genomes. 
 Section: background
Example Output: True

Example Input: Sentence: were detected for response to NDV or heat or NDV + heat. 
 Section: finding
Example Output:

assistant: True
user: instruction:
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.
question:
To support this open carry ban, you have argued that no right exists to carry a loaded handgun outside the home���making them useless and therefore the ban is just sweeping up the crumbs.
answer:
Valid


question:
Also: More people are killed in car accidents than are killed by guns.
answer:
Valid


question:
If you thought sharks with lasers was bad XXX, wait until you see bees with lasers and poisonous metal stingers and little speakers that can play the Flight of the Bumble Bee as performed by Black Sabbath.
answer:


assistant: Invalid
user: Your task is to generate the next utterance in a given dialogue. You will be given a few sentences describing the personality of the person who is making the dialogue, and a history of the dialogue after that. Each line in the history is said by one of the two participants in the conversation.

[Q]: Personality: I've been at my job for seven years.
I like to read.
I am a vegan.
I love country music.
I love the beach.
Chat history: -Hey there. How is your night going?
 -Good. Just listening to some country music. You?
 -I just rinsed the gel out of my hair and am listening to metal music.
 -Sounds like we are on the opposite ends of the music spectrum.
 -That it does. Each to their own though.
 -True enough. What are your other interests?
 -Well, I'm in a metal band. I collect motorcycles, leather jackets and boots.
 -Sounds interesting. I enjoy spending time on the beach and enjoy reading books.
 -Nice. Have you read anything good lately?
 -I was just looking through a vegan cookbook. Do you like to cook?
 -I do. I went to culinary school... definitely not a vegan though p.
[A]: I love vegetables! I know that not everyone shares that point of view.


[Q]: Personality: One child has autism.
I have two dogs who are like my babies.
I work as a teacher and love my job.
I've two children.
Chat history: -Hi how are you doing.
 -Hello, I am doing very well now that it is lunch time for the students.
 -Are you a school teacher.
 -I'm, and I go home to two more, and several fur kids.
 -Awww that is cute do you like music.
 -I do. Mainly metal and classical. What do you listen to?
 -I like rap when I am smoking weed.
 -I think that would help my autistic son, but medical marijuana is not legal here.
 -That is too bad it helps me relax after my boring job.
 -We have tried everything for him, I know it has helped a lot of people.
 -Yeah I bet it would be beneficial.
[A]: What do you do for a living?


[Q]: Personality: I take martial arts after school.
And, my best friend is Abigail.
Tomorrow is my first day of safety patrol.
I love to read Harry Potter books.
I am ten years old.
Chat history: -Hi there how are you?
 -Hi! how old are you? I am 10.
 -I'm 49 and I drive a pink car.
 -I love pink! My best friend is Abigail. Who is your best friend?
 -My dad is my best friend, he is an airline pilot.
 -Does he like martial arts? That's what I do after school.
 -I've a Youtube channel, we should do martial arts on it!
[A]:

assistant: That sounds cool! Today was my first day on safety patrol.
user: Read the given text and if it has abusive content then indicate via "yes". Otherwise indicate via"no". 
We consider the content to be abusive if it contains any of the following instances: (1) Identity Directed Abuse (e.g., Content which contains a negative statement made against an identity. An identity is a social category that relates to a fundamental aspect of individuals community, socio-demographics, position or self-representation) (2) Affiliation Directed Abuse (e.g., Content which express negativity against an affiliation. We define affiliation as a (more or less) voluntary association with a collective. Affiliations include but are not limited to: memberships (e.g. Trade unions), party memberships (e.g. Republicans), political affiliations (e.g. Right-wing people) and occupations (e.g. Doctors).) (3) Person Directed Abuse (e.g., Content which directs negativity against an identifiable person, who is either part of the conversation thread or is named. Person-directed abuse includes serious character based attacks, such as accusing the person of lying, as well as aggression, insults and menacing language.) and (4) Counter Speech (e.g., Content which challenges, condemns or calls out the abusive language of others.). Note that URLs in the text have been replaced with [Link].
One example is below.
Q: Was Michelangelo straight though?  I mean, being a pizza-maniac ninja would indicate so, but... You never know.
A: yes
Rationale: This text has indentity directed abuse because it is trying to judge sexual orientation of Michelangelo. Hence, the answer is "yes"
Q: GOOD NEWS: Pakistan is pregnant again..
A:

assistant: no
user: In this task, you are given a news article. Your task is to classify the article to one out of the four topics 'World', 'Sports', 'Business', 'Sci/Tech' if the article's main topic is relevant to the world, sports, business, and science/technology, correspondingly. If you are not sure about the topic, choose the closest option. Note that URLs in the text have been replaced with [Link].

Let me give you an example: Comets, Asteroids and Planets around a Nearby Star (SPACE.com) SPACE.com - A nearby star thought to harbor comets and asteroids now appears to be home to planets, too. The presumed worlds are smaller than Jupiter and could be as tiny as Pluto, new observations suggest.
The answer to this example can be: Sci/Tech
Here is why: The topic of the news article is relevant to science(astronomy). Hence, the label is 'Sci/Tech'.

OK. solve this:
Blockbuster Ends Late Fees, Sees Flat 2005  CHICAGO (Reuters) - Blockbuster Inc. on Tuesday said it was  ending late fees on movies and games from Jan 1. as it battles  to reverse falling rental demand, and forecast operating income  would be flat in 2005.
Answer:

assistant: Business
user: You are given a sentence in English. Your job is to translate the English sentence into Japanese.

Example input: And it was primarily because Kiribati realized that this was in their own self-interest to do this.
Example output: 第一にキリバス共和国が彼ら自身の利益になると理解したからです
Example explanation: The English sentence is correctly translated into Japanese. Kiribati is correctly translated as キリバス.
Q: In fact, they were so successful that you could buy a pirated copy of their DVD, even before it was released in the Middle East.
A:

assistant: 実際大成功で中東でDVDの発売前に海賊版が手に入るほどでした
user: In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lists.
One example is below.
Q: [[5, 3], [2, 9, 8], [3, 3], [5, 2, 7, 1]]
A: [5, 9, 3, 7]
Rationale: Input of this example is a list containing four inner lists. The maximum value of the first inner list is 5, the maximum value of the second list is 9, the maximum value of the third list is 3, and the maximum value of the fourth list is 7. So the output should be [5, 9, 3, 7], and this is a good example.
Q: [[-148, -6, -85, -185, -25, -107, -88], [-57, -12, -14], [93, 95], [-132, 68, -106, 93, 1, -9, 60], [-86, -119, 34, 30]]
A:

assistant: [-6, -12, 95, 93, 34]
user: Given a sentence, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
Example: Verify if the sentiment of the following document towards the entity Bill Clinton is Negative. Bill Clinton knows how to win friends and influence people.
Example solution: no
Example explanation: Here the author of the document praises Bill for this ability to win friends. So the sentiment should be Positive and not Negative.

Problem: Verify if the sentiment of the following document towards the entity Wolfenstein is Positive . Still  at the end of the day  Wolfenstein II: The New Colossus is fun while it lasts. That’s a target all too many games in the current “games as a service” (to the publisher  courtesy of your wallet) climate have managed to miss. What is there is enjoyable  hampered only by its brevity. I think  given another year or so to expand on the game’s epic premise  we would have had another genre-defining title on our hands. As it stands  it’s merely “pretty good.”


assistant: Solution: yes