ostapeno/flanv2_100k huggingface dataset:
user: Q: In this task, you need to Translate Czech text to English.
Zařízeni je určeno pro kontrolu namáhání  soustrojí například spojení turbiny  s generátorem a pro kontrolu nestejiiě namáhaných  rotačních součástí. Dále je pro vyznačení  úlové polohy rotačních součástí. Zařízení  je založeno na elektromagnetické indukci  a změně odporu tenzometrických článků.  Statorový elektromagnetický prvek, opatřený  primárním vinutím, má minimálně jednu protilehlou  rotorovou část se sekundárním vinutím,  které spolu mají ráz rozptylového transformátorku  se vzduchovou mezerou. Tato  rotorová část je minimálně stejných obvodově  délkových rozměrů než protilehlý statorový  prvek. Její sekundární vinutí je elektricky  spojeno s minimálně jedním šikmo uloženým  tenzometrickým článkem, napojeným na vinutí  přejímacího elektromagnetického obvodu.  Proti přejímacímu obvodu je uložen přejímací  statorový prvek, v jehož vinutí je indukován  proud s napětím, který je porovnáván můstkovou  metodou s nastavenou protihodnotou  stabilizovaného proudu s napětím. Rozdílovými  proudy je vyznačena změna torzního  momentu.
A:

assistant: The device is designed for stress control  for example, a turbine connection  with the generator and for checking the strains  rotating parts. It is also for marking  hinge positions of rotating components. Equipment  is based on electromagnetic induction  and changing the resistance of strain gauge cells.  Stator electromagnetic element, provided  primary winding, has at least one opposite winding  the rotor part with secondary winding,  which together have a scattering transformer  with air gap. This  the rotor part is at least the same circumferentially  dimensional dimensions than the opposite stator  element. Its secondary winding is electrically  associated with at least one oblique  a strain gauge connected to the winding  electromagnetic circuit.  The acceptance circuit is placed opposite the receiving circuit  a stator element in which the winding is induced  current with voltage, which is compared by bridge  with the counter value method  stabilized current with voltage. Rozdílovými  currents are indicated by the change of torsion  moment.
user: In this task, you're given five sentences, numbered 1 through 5. Your job is to generate a title for the story that makes complete sense. The title must be short, with less than three words, use simple language, and include the main topic of the story.

Sentence 1: Tom had never seen a little person before. Sentence 2: He ran into one at the mall. Sentence 3: Tom couldn't contain his emotions. Sentence 4: He laughed intensely. Sentence 5: The midget was rightfully upset.


assistant: The Midget
user: Given the task definition and input, reply with output. Given a document, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].

Verify if the sentiment of the following document towards the entity Zuckerberg is Negative . The social media website's co-founder and CEO Mark Zuckerberg  announced Facebook is changing the structure of its newsfeed to allow viewers to see more content from their friends and family  while reducing the amount they'll see from companies and news outlets.
"As we roll this out  you'll see less public content like posts from businesses  brands  and media  " Zuckerberg  wrote in a Facebook post Thursday. "And the public content you see more will be held to the same standard â it should encourage meaningful interactions between people."
 Zuckerberg   33  says the change comes after Facebook's leaders received feedback suggesting the website had moved away from its overall goal of connecting people  prompting the change.
 He 's confident the changes will make for a more enjoyable and beneficial experience for Facebook users.
"The research shows that when we use social media to connect with people we care about  it can be good for our well-being  " Zuckerberg  wrote. "We can feel more connected and less lonely  and that correlates with long term measures of happiness and health. On the other hand  passively reading articles or watching videos â even if they're entertaining or informative â may not be as good."
 Zuckerberg  added that  they  began to make alterations to the newsfeed late last year  and that it will take several more months before the changes are universally present on Facebook properties.
 He  said  he  expects people to spend less time on Facebook moving forward due to the changes.
"But I also expect the time you do spend on Facebook will be more valuable  " Zuckerberg  wrote. "And if we do the right thing  I believe that will be good for our community and our business over the long term too."


assistant: no
user: Given a set of four words, generate the category that the words belong to. Words are separated by commas. The possible categories are social gathering, accomodation, physical property, measurement unit, corporate, nutritional value, boats, police punishment, location (proximity), card games, outdoor sport activity, military rank, baby animals, weather, consumer product, animals, boxing terminology, food, chocolate food, bird, type of sandwich, date status, body part, ocean, employment activity, moral characteristic, elements, poker, computers, construction, guitar part, shady activities, physical activity, kitchenware, temperature, type of rigidity, emotional status, season, mode of transportation, window material, activity, emotional display, geographical property, fried food, store status, widespread, aesthetic characteristic, alcoholic drinks, secretary duty, direction, personal characteristic, and animal.

frank, honest, concise, blunt


assistant: moral characteristic
user: Instructions: In this task, you're given the beginning and the ending of a three-part story. Your job is to complete the short story by writing a middle sentence that seamlessly connects  the first and last sentence. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the middle sentence, and use names (e.g. Jack, Barbara,...) instead of pronouns (e.g. he / she) wherever possible.
Input: Beginning: Robert wanted to do something special for his dad's 80th birthday. Ending: His dad was overwhelmed recalling all the forgotten memories.
Output:

assistant: Robert put together a special video.
user: Given the task definition and input, reply with output. You are given a sentence in Persian. Your job is to translate the Farsi sentence into Galician.

عذر و بهانه ، همه ما این آدما رو میشناسیم


assistant: Escusas.
user: Detailed Instructions: You're given a sentence and your task is to classify whether the sentence is acceptable or not. Any sentence which is grammatically correct, has a naturalistic text, is written by a native speaker and which minimizes superfluous content is acceptable, otherwise unacceptable. If the sentence is acceptable then write "acceptable", otherwise "unacceptable".
Problem:Who admires what?
Solution:

assistant: acceptable
user: Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
Problem:A volte è molto strano lavorare lassù. Le iniezioni le facevo attraverso gli strati di indumenti.
Solution:

assistant: Era tan complejo trabajar allá arriba, que a veces les inyecté a través de la ropa
user: Definition: 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
Input: @Lucas De Los santos nah that would be to take a step back. We dont want to split each other up. We have to unite in order to fix it.
Output:

assistant: Hope Speech
user: Detailed Instructions: In this task you are given a sentence. You must judge whether subject of the main clause is singular or plural. Label the instances as "Singular" or "Plural" based on your judgment.
Problem:It was her earring, the simple bronze stud that she always wore.
Solution:

assistant: Singular
user: Detailed Instructions: In this task, you are given a sentence in Persian, and your task is to translate it into English.
Q: اگر بدون فانی اوقاتتان بگذرد، باز هم می‌خواهید او را در خانه نگه داربد؟ ‌
A:

assistant: If you could do without her, you would not wish to keep her at home?;
user: Teacher:In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct a sentence that (a) captures the facts specified in the triples and (b) is a well-formed sentence easily understandable by a human. All triple values need not be used directly in the sentence as long as the facts are adequately captured.
Teacher: Now, understand the problem? Solve this instance: [['Browns Cambridge', 'eatType', 'restaurant'], ['Browns Cambridge', 'food', 'French'], ['Browns Cambridge', 'priceRange', 'moderate'], ['Browns Cambridge', 'customer rating', '1 out of 5']]
Student:

assistant: There is a moderately priced French restaurant called Browns Cambridge. It has a rating of 1 out of 5.
user: Teacher:Given a sentence in French, generate a new French 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.
Teacher: Now, understand the problem? Solve this instance: Vous concevriez un logiciel parce que vous voulez une façon plus facile d'accepter une tâche.
Student:

assistant: Vous concevriez un logiciel parce que vous voulez une façon plus facile d'exécuter une tâche.
user: Instructions: 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.
Input: ['8', '8', 'q', '5', '8']
Output:

assistant: [['8', '8', 'q', '5'], ['8', '8', 'q', '8'], ['8', '8', '5', '8'], ['8', 'q', '5', '8'], ['8', 'q', '5', '8']]
user: Detailed Instructions: In this task you will be given a list of integers. For every element in the list, if the element is positive you should multiply it by 2.  If the element is negative you should multiply it by -3. The output should be a list of integers that is the result of applying that logic to the input list.
 Note: A list is presented with comma separated numbers inside two brackets.
Q: [11, 95, -96, 6, -16, -23, -32]
A:

assistant: [22, 190, 288, 12, 48, 69, 96]
user: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.

Who wrote the Goldberg variations?


assistant: johann sebastian bach
user: In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B".

The wood paint brushes work better for Alice than the metal ones, so the _ ones are likely sturdier. (A) wood (B) metal


assistant: A
user: Detailed Instructions: In this task, you're given a four sentences of story written in natural language. Your job is to complete end part of the story by predicting appropriate last sentence which is coherent with the given sentences.
Problem:Sentence1: Sean wanted to go out for a picnic. Sentence2: He packed himself a lunch in a basket. Sentence3: Then, he rode his bike off to a field. Sentence4: In the field, he ate his picnic.
Solution:

assistant: Sean loved the outdoors.
user: You will be given a definition of a task first, then some input of the task.
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 plate with some fried meat and some lemon slices'. Is 'slices' the longest word in the sentence?
Output:

assistant: Yes
user: You will be given a definition of a task first, then some input of the task.
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.

How do you break a dogbane stalk open in order to access the core wood fiber?
Output:

assistant: Lay the dogbane stalk out on a flat surface. Press your knee into it to flatten it longitudinally. This will cause the stalk to break in half lengthwise.
user: Q: In this task, you will be presented with a text, a pronoun from the text, and two candidate names. You should determine what the pronoun refers to and classify the answers into A, B, or Neither. A and B here are referring to option A and option B. Position of the pronoun in the text is showed within two "_"s.
At this same time she accompanied violinists Josef Gingold and Joshua Bell in Mischa Scorer's documentary film, ``Joshua Bell'', first aired by BBC television in 1994, on Omnibus. The program was later broadcast by Bravo in 1996, and earned for producer Scorer a CableACE Award in 1997. 1996 also saw Oksana's placement in the third International Vienna Modern Masters Performers Recording Awards Competition. _She_ was awarded the Second Prize, with First shared between the violin-piano duos of Dan Almgren and Roland P*ntinen, and Vasilij Meljnikov and Aljoscha Starc, respectively. <sep>, Pronoun: She <sep>, A: Scorer <sep>, B: Oksana
A:

assistant: B
user: Definition: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. If the conversation begins with a question, label it '1' otherwise '0'.
Input:  Person1:     How long have you been in this company ? 
 Person2:  I came two years ago after I graduated from college . This is my first job . 
 Person1:      You must have found much difference between working in company and studying in college . 
 Person2:  Of course ! Everyday , there is a deadline to meet . Bosses watching and testing me all the time , not liking in college , handed in paper months later and tested on schedule . It is so busy . But anyway , I have trying my best to be a good employee . 
 Person1:      Well , you ’ Ve adapted yourself very well . Everyone in our office thinks you ’ Ve made a great progress in the past two years . What is your secret ? 
 Person2:  It is so encouraging to hear this remark . The secret is to make plans . Write down your goals , short-term and long-term and make detail plans for a week or a month . Then just work hard . 
Output:

assistant: 1
user: Given the task definition and input, reply with output. In this task, you are given the abstract of a research paper. Your task is to generate a summary of this abstract. Your summary should not be very short, but it's better if it's not more than 30 words.

When training a deep neural network for supervised image classification, one can broadly distinguish between two types of latent features of images that will drive the classification of class Y. Following the notation of Gong et al. (2016), we can divide features broadly into the classes of (i) “core” or “conditionally invariant” features X^ci whose distribution P(X^ci | Y) does not change substantially across domains and (ii) “style” or “orthogonal” features X^orth whose distribution P(X^orth | Y) can change substantially across domains. These latter orthogonal features would generally include features such as position, rotation, image quality or brightness but also more complex ones like hair color or posture for images of persons. We try to guard against future adversarial domain shifts by ideally just using the “conditionally invariant” features for classification. In contrast to previous work, we assume that the domain itself is not observed and hence a latent variable. We can hence not directly see the distributional change of features across different domains. 

 We do assume, however, that we can sometimes observe a so-called identifier or ID variable. We might know, for example, that two images show the same person, with ID referring to the identity of the person. In data augmentation, we generate several images from the same original image, with ID referring to the relevant original image. The method requires only a small fraction of images to have an ID variable.

 We provide a causal framework for the problem by adding the ID variable to the model of Gong et al. (2016). However, we are interested in settings where we cannot observe the domain directly and we treat domain as a latent variable. If two or more samples share the same class and identifier, (Y, ID)=(y,i), then we treat those samples as counterfactuals under different style interventions on the orthogonal or style features. Using this grouping-by-ID approach, we regularize the network to provide near constant output across samples that share the same ID by penalizing with an appropriate graph Laplacian. This is shown to substantially improve performance in settings where domains change in terms of image quality, brightness, color changes, and more complex changes such as changes in movement and posture. We show links to questions of interpretability, fairness and transfer learning.


assistant: We propose counterfactual regularization to guard against adversarial domain shifts arising through shifts in the distribution of latent "style features" of images.
user: Detailed Instructions: In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Romanian language.
Problem:Delhi gang rape victim dies in Singapore hospital
Solution:

assistant: Victima violată în grup în Delhi moare într-un spital din Singapore
user: Detailed Instructions: In this task, you are given a pair of action statements. Your task is to check if you can conclusively identify which statement is less ethical or not. Answer: 'no' if one of the statements is less ethical, and 'yes' otherwise.
Problem:ACTION1: taking my bully's phone ACTION2: getting mad when my bf wouldn't decide what game to play
Solution:

assistant: yes
user: Detailed Instructions: In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'.
Problem:Dialogue 1: 'so sad  still not yet facewithoutmouth oh  i think it's good yup'. Dialogue 2: 'ooo bad luck not bad luck that was horrible bad luck because i am ms fan'.
Solution:

assistant: yes
user: You will be given a definition of a task first, then some input of the task.
In this task, positions of two consecutive words have been swapped. You need to output the position of the swaped words. e.g. in the sentence 'Seattle has nice a weather', the word 'a' and 'nice' have been swapped. These words are at 3rd and 4th position respectively. So, the output should be (3, 4). Note that the index of first word is 1.

A bus MUNI in San Francisco parked next to a fountain
Output:

assistant: (2, 3)
user: Definition: In this task you are given a list of numbers and you need to find the average of each two consecutive values. The average of two numbers a and b is calculated as: (a + b) /2. The output should be a list of the averages of each two consecutive values. A list is presented with two brackets and comma-separated values, like: [1,2,3].
Input: [89, -71, -8, 21, 77, -99, 46, 10]
Output:

assistant: [9.0, -39.5, 6.5, 49.0, -11.0, -26.5, 28.0]
user: In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural language interpretation. Define body (contains a collection of statements that define what the this logical operator does) of each logical operator between '{}' parenthesis. Here are the definitions of logical operators that you can use while generating 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.

select the row whose year record of all rows is 3rd minimum . the title of movie record of this row is a flight to yesterday 《 飛往昨天的ci006 》 .


assistant: eq { hop { nth_argmin { all_rows ; year ; 3 } ; title of movie } ; a flight to yesterday 《 飛往昨天的ci006 》 }