ostapeno/flanv2_100k huggingface dataset:
user: TASK DEFINITION: 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.
PROBLEM: [-19.827, 77.587, 234.377, 197.698, 9.593, -73.61, 243.676]

SOLUTION: [-0.03   0.116  0.35   0.295  0.014 -0.11   0.364]

PROBLEM: [-20.973, 236.989, 164.174, 69.094, 201.908, 8.85, 28.361, -73.779]

SOLUTION: [-0.034  0.386  0.267  0.112  0.329  0.014  0.046 -0.12 ]

PROBLEM: [-80.073, -18.141, 225.018, 35.041, 189.579, -11.226, 135.905, 238.723, -3.557]

SOLUTION:

assistant: [-0.113 -0.026  0.316  0.049  0.267 -0.016  0.191  0.336 -0.005]
user: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the numbers 0 (entailment), 1 (neutral), or 2(contradiction).

Ex Input:
sentence_A: A group of people is sitting on both sides of a red stone structure. sentence_B: Some people are sitting on the ground outside a monument

Ex Output:
1


Ex Input:
sentence_A: An onion is being cut by a man. sentence_B: A man is eating onion slices

Ex Output:
1


Ex Input:
sentence_A: A big brown and white spotted dog is lying on a jacket on the street. sentence_B: A small brown and white spotted dog is lying on a jacket on the street

Ex Output:


assistant: 1
user: Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command. For commands, 'left' and 'right' are used to denote the direction of an action. The word '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. 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'. Actions and commands do not have quotations in the input and output.

[EX Q]: turn opposite right twice and walk around right thrice
[EX A]: I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK

[EX Q]: look right and look around right thrice
[EX A]: I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK

[EX Q]: look around left thrice after turn opposite left twice
[EX A]:

assistant: I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK
user: In this task, you are given books product reviews in Japanese 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.
Example: 少年心 . 重松さんの作品の中でも、一番共感できる作品。 周りの人達に心を閉ざし、気が付いたら周りと距離を置くようになっていた少年が徐々に成長し、心を開いていく様子がとても鮮明に表現されている。 人間誰でも他人に対して嫌悪感を抱いてしまったり・・・周りにどう思われるかを気にして、意地を張って素直になれなかったりする。
Example solution: POS
Example explanation: The overall sentiment of the review is positive as the reviewer refers to the book with positive expressions such as '一番共感できる作品'. Hence, the label is 'POS'.

Problem: 久しぶりに引き込まれた。 . 自分は作品に関する批評とか、得意ではないのであまり触れられないのですが。  自分的にはとても良作だと思いました。  自分の好み的な物からファンタジー系統を読む機会が多いのですが、久々に「あぁ、こういうのもいいな。」って感じました。  笑わせてくれる時は笑わせてくれて。  でも、シリアスな場面では本当に感情移入が容易に出来て。  この作者さんの作品に触れるのはこれが始めてですが、表紙のイラスト負けしない、良い作品だと思いました。  （…正直ジャケ買いしましたが、その点では今は満足しています。）  ただ、この作品がシリーズなのか。  そこは自分が情報収集していないので分からないのですが、ラストが“めでたしめでたし”みたいに感じられたので…。  シリーズであれば今後の展開に期待。  単品であるならば、「これはこれで。」という感じです。  一読の価値はあると思いますよ。  ※追記  どうやら３月の新刊で２巻が発売されるようです。  自分的にはとても期待をしています。  表紙自体の出来も素晴らしく、再び外見に負けない、良い作品である事を願っています。


assistant: Solution: POS
user: Given a scientific question, generate an incorrect answer to the given question. The incorrect answer should be a plausible alternative to the correct answer. The answer should be some other item belonging to the same category as the correct answer but should be incorrect.
One example: What are arteries, veins, and capillaries examples of?
Solution is here: tissue
Explanation: Blood vessels include arteries, veins, and capillaries. Tissue is a combination of cells.

Now, solve this: Skeletal and muscular are examples of what type of system?
Solution:

assistant: internal system
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 short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. The passage is unrelated if it does not convey a stereotype or anti-stereotype. You are expected to classify the passage into three classes: stereotype, anti-stereotype, and unrelated.

Passage: The game-winning football player is very aggressive.
Solution: Stereotype
Why? It is a stereotype because we have a standardized image that game-winning players are commonly aggresive. There is no mention of the football player's aggresive behavior.

New input: Passage: The policeman was known throughout town as being basketball.
Solution:

assistant: Unrelated
user: Teacher: This task is to translate a news commentary given in English language into French language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Since their articles appeared, the price of gold has moved up still further. Gold prices even hit a record-high $1,300 recently.
Solution: Depuis la parution de leurs articles, le cours de l’or a encore grimpé, pour atteindre récemment un plus haut historique de 1300 dollars l’once.
Reason: The given translation is accurate and precise, and preserves the meaning of the commentary.

Now, solve this instance: So, as interest rates rise, central banks might face costs exceeding their income.
Student:

assistant: Dès lors, lorsque les taux d'intérêt augmenteront, les banques centrales pourraient faire face à des coûts supérieurs à leur revenu.
user: In this task you are given a sentence pair from wikipedia that have high lexical overlap. If the sentences have the same meaning and are just paraphrases of each other label them as "Paraphrase" , if not label them as "Not paraphrase". The two sentences are seperated by a new line.
One example: In January 2011 , the Deputy Secretary General of FIBA Asia , Hagop Khajirian , inspected the venue together with SBP - President Manuel V. Pangilinan .
In January 2011 , FIBA Asia deputy secretary general Hagop Khajirian along with SBP president Manuel V. Pangilinan inspected the venue .
Solution is here: Paraphrase
Explanation: The second sentence has the same meaning as the first sentence and is just a paraphrased version of it.

Now, solve this: However , binary operators may be used , including , but not limited to , exclusive or set union .
Though exclusive operators including but not limited to binary or and set union may be used .
Solution:

assistant: Not paraphrase
user: Given the task definition, example input & output, solve the new input case.
Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
Example: English sentence: How is this possible
Output: Olee kwere omume?
The Igbo translation means the same as the original sentence in the English language.

New input case for you: English sentence: indonesiano - Kare (Papua New Guinea) indonesiano - Karekare
Output:

assistant: Mbara (Chad) - Kare (Papua New Guinea)
user: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.

Ex Input:
さらに重要なことはただ生き残るためでなく

Ex Output:
Lo más importante que quiero decir es lo siguiente.


Ex Input:
これを作成している時私は仰天しました「なんてこった、私の会社 ― Tudorは一体何をやってるんだ ？ 」

Ex Output:
Para ser justos, cuando empecé a escribir esto, pensé: "Qué hace mi empresa?, ¿qué hace Tudor?"


Ex Input:
ここに短い文字列があります

Ex Output:


assistant: Aquí tenemos un texto realmente corto.
user: Given a sentence in the Japanese and Central Khmer language. Your task is check if the Khamer sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".

[Q]: Japanese: その合意に署名したマスコミグループは、褒美として王子へのインタビューができた。 
 Khamer: ក្រុមប្រព័ន្ធផ្សព្វផ្សាយដែលបានចុះហត្ថាខាក្នុងកិច្ចព្រមព្រៀង ត្រូវបានផ្ដល់ជារង្វាន់ដោយធ្វើការសំភាសន៏ជាមួយព្រះអង្គម្ចាស់។
[A]: Yes


[Q]: Japanese: 「言葉に具体的な行動が伴うべき時が来ている。」 
 Khamer: នេះបានចាប់ផ្តើមក្នុងខែឧសភា ហើយត្រូវបានគេគិតថានឹងបន្ត រហូតដល់ការហៀរនេះត្រូវបានទប់ស្កាត់ទាំងស្រុង ឬលែងត្រូវការទៀត។
[A]: No


[Q]: Japanese: 研究者らは、アメリカジョージア州で「ビッグフット」ハンターを名乗り、その神秘的な生物の死体を発見したと今月主張していた2人の男性は、手の込んだいたずらに参加していたのだと言っている。 
 Khamer: ពូកអ្នកស្រាវជ្រាវនិយាយថាបរុស២នាក់អះអាងជាអ្នកបរបាញ់"ប្រអប់ជើងធំ"នៅហ្សកហ្សាសហរដ្ឋអាមេរិកចំពោះការរកឃើញស្នាមនៅសល់របស់សត្វចំឡែកនៅដើមខែនេះ គឺជាផ្នែកមួយនៃការបោកបញ្ឆោតយ៉ាងច្បាស់។
[A]:

assistant: Yes
user: In this task you will be given a list of integers. You should remove any integer that is not prime. A prime integer is an integer that is only divisible by '1' and itself. The output should be the list of prime numbers in the input list. If there are no primes in the input list an empty list ("[]") should be returned.

[Q]: [600, 153, 463]
[A]: [463]


[Q]: [761, 249, 347, 273, 877, 344, 73, 725]
[A]: [761, 347, 877, 73]


[Q]: [43, 381, 889]
[A]:

assistant: [43]
user: Rewrite each original sentence in order to make it easier to understand by non-native speakers of English. You can do so by replacing complex words with simpler synonyms (i.e. paraphrasing), deleting unimportant information (i.e. compression), and/or splitting a long complex sentence into several simpler ones. The final simplified sentences need to be grammatical, fluent, and retain the main ideas of their original counterparts without altering their meanings.
One example is below.
Q: From its inception, it was designated a duty-free port and vied with the neighboring Sultanate of Pattani for trade.
A: From the start, it was chosen to be a duty-free port to compete with the neighboring Sultanate of Pattani for trade.
Rationale: In this example complex words are substituted with simpler ones. The word 'start' has taken the place of 'inception' and the verb 'compete' is used instead of 'vie'.
Q: Atlantic hurricane seasons Pre-1600 1600s / 10s 1620s / 30s Observation data for years before 1492 is completely unavailable because record keeping was virtually non-existent in the pre-Columbian era, and any records that may have once existed have long since been lost.
A:

assistant: There is no observation data for years before 1492 because record keeping was not in the pre-Columbian era. Any records have long since been lost.
user: Given the task definition, example input & output, solve the new input case.
Given a sentence in Hindi, generate a new Hindi 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.
Example: आप एक जूरी नहीं करना चाहते हैं तो आप एक वकील बनना चाहिए.
Output: आप एक जूरी जीतने के लिए जीते हैं तो आप एक राजा बनना चाहिए.
This is the good example. The created sentence is semantically similar to the input as both are talking about what to become if one doesn’t want to become the jury and the changes in the sentence follows the commonsense knowledge.

New input case for you: आप एक लड़ाई जीतने के लिए चाहते हैं तो आप युद्ध घोषित करना चाहिए।
Output:

assistant: अगर आप एक रंगशाला पर विजय पाना चाहते हैं तो आप युद्ध घोषित करना चाहिए।
user: instruction:
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Sentence 2 contradicts sentence 1. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
question:
Sentence 1: There is a martial arts competition where a guy is doing a flip. Sentence 2: The man was walking down the street.
answer:
It was the third flip he had done.


question:
Sentence 1: A man in a plaid shirt and jeans is at a campsite with a tripod. Sentence 2: The man is taking pictures inside a mansion.
answer:
The man is setting up a camera.


question:
Sentence 1: A child runs through the grass. Sentence 2: A child is sitting on the couch.
answer:


assistant: A child is playing tag with other children in the yard.
user: Part 1. Definition
In this task, you are given a text of the article. Your task is to generate a headline (title) for this article.
Part 2. Example
australia 's current account deficit shrunk by a record #.## billion dollars -lrb- #.## billion us -rrb- in the june quarter due to soaring commodity prices , figures released monday showed .
Answer: australian current account deficit narrows sharply
Explanation: This headline is appropriate for the given article text because the focus of this article is Australian current accounts.
Part 3. Exercise
iraqi oil ministry tuesday gave a two-week extra time for foreign oil firms to send in documentation for the second round of licensing for long-term development contracts .
Answer:

assistant: major news items in leading israeli UNK
user: 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'.

Example Input:  Person1:     What can I do for you , Miss ? 
 Person2:  I want to buy a bottle of perfume for myself . 
 Person1:      Well , here is a perfume kind for women . 
 Person2:  I don't like strong perfumes . 
 Person1:      How about this Isawell's flowery perfume ? 
 Person2:  I don't think it smells nice . 
 Person1:      Do you have green tea perfume ? 
 Person2:  Yes , here you are . 
 Person1:      May I have a look at this ? 
 Person2:  Sure . The bittersweet perfume has a calming effect on the nerves . 
 Person1:      I like this fragrance . 
 Person2:  How much is it ? 
 Person1:      150 yuan . 
 Person2:  I'll take it . 
Example Output: 1

Example Input:  Person1:     Do you like our new history teacher ?  
 Person2:  I'm fed up with his endless talking .  
 Person1:      You can't say that ! He's a very knowledgeable person .  
 Person2:  I can't see it . 
Example Output: 1

Example Input:  Person1:     I hate landing in the sand trap ! Now I'm probably going to waste strokes getting it out . 
 Person2:  At least you haven't landed in the water yet . I've done that on the last two holes . 
 Person1:      Could you hand me my wedge ? I'll try ... 
 Person2:  Here you go . I'll wait for you to get on the green before I putt . 
 Person1:      No . you go ahead and putt it out . Then I'Il go . 
 Person2:  No way , Mary . I'm going to let you go first . I don't want the pressure of putting first . 
Example Output:

assistant: 0
user: You are given a sentence in English. Your job is to translate the English sentence into Spanish.
One example: With economic growth, countries and societies enter into a virtuous cycle of upward mobility, opportunity and improved living standards.
Solution is here: Con el crecimiento, los países y las sociedades ingresan en un ciclo virtuoso de movilidad ascendente, de oportunidad y mejores niveles de vida.
Explanation: The English sentence is correctly translated into Spanish, because the meaning is preserved.

Now, solve this: Every month my wages would just replenish my overdraft.
Solution:

assistant: Cada mes el salario me alcanzaba para pagar el descubierto.
user: Given an object and a part, decide whether the object has that part. For example if you are asked 'gun has barrel?', you need to decide if a gun has a barrel as one of its components or parts, indicating 1 or 0 as your answer respectively. All sentences strictly follow the template 'object has part?.'

[EX Q]: tuna has fin?
[EX A]: 1

[EX Q]: fighter has roof?
[EX A]: 0

[EX Q]: cello has string?
[EX A]:

assistant: 1
user: Part 1. Definition
A text is given in Bengali. Translate it from the Bengali language to the Gujarati language. The translation must not omit or add information to the original sentence.
Part 2. Example
આપણને જે બહુમૂલ્ય લોકતંત્ર મળ્યું છે તેને આપણે બહુ જ સરળતાથી granted માની લઈએ છીએ પરંતુ, આપણે સ્વયં એ યાદ અપાવતા રહેવું જોઈએ કે આપણું લોકતંત્ર બહુ જ મહાન છે અને આ લોકતંત્રને આપણી નસેનસમાં જગ્યા મળી છે – સદીઓની સાધનાથી, પેઢી દર પેઢીના સંસ્કારોથી, એક વિશાળ વ્યાપક મનની અવસ્થાથી
Answer: আমরা বিশ্বাস করি যে আমরা একটি খুব সহজে মঞ্জুর পেয়েছি, কিন্তু আমাদের নিজেকে স্মরণ করিয়ে দিতে হবে যে, আমাদের গণতন্ত্র খুব বড় এবং এই গণতন্ত্র আমাদের নাসেনের মধ্যে একটি স্থান পেয়েছে - প্রজন্মের প্রজন্মের প্রজন্ম থেকে, একটি বিশাল ব্যাপক মন থেকে
Explanation: Correct translation for given sentence. Input sentence means 'We believe that we have received a very easily granted, but we should remind yourself that our democracy is very great and this democracy has got a place in our nassen - from the centuries, from the generation of generation, a hugeComprehensive mind' which is the same as the output sentence.
Part 3. Exercise
તેમણે જણાવ્યું કે સરકાર દેશના ઘણા ભાગોમાં અંદાજે એક લાખ કરોડ રૂપિયાનું મૂડી રોકાણ લાંબા સમયથી અધૂરી પડેલી સિંચાઈ યોજનાઓ માટે કરી રહી છે, જે ખેડૂતો માટે મોટી અને લાંબા ગાળા માટેની સહાય બની રહેશે.
Answer:

assistant: প্রধানমন্ত্রী আরও জানান, দীর্ঘদিন যাবৎ পড়ে থাকা কৃষিসেচ প্রকল্পগুলির কাজ দ্রুত শেষ করতে সরকার প্রায় ১ লক্ষ কোটি টাকা লগ্নি করছে।
user: Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head happens after the Tail or not. 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.
See one example below:
Problem: Head: PersonX cuts the ribbon<sep>Tail: PersonX opens a store
Solution: Yes
Explanation: This is a good example. The Head happens after the Tail.

Problem: Head: PersonX accuses PersonY of cheating<sep>Tail: to make him understand
Solution:

assistant: No
user: TASK DEFINITION: Given the sentence, generate "yes, and" response. "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). 1 In short, a "Yes, and" is a dialogue exchange in which a speaker responds by adding new information on top of the information/setting that was constructed by another speaker. Note that a "Yes, and" does not require someone explicitly saying 'yes, and...' as part of a dialogue exchange, although it could be the case if it agrees with the description above. There are many ways in which a response could implicitly/explicitly agree to the prompt without specifically saying 'yes, and...'. 
PROBLEM: So, there's nothing Houstonian about this steak house?

SOLUTION: I mean, you're in Houston. There's that correlation.

PROBLEM: Thank you for reminding me that I'm no longer married to Seal.

SOLUTION: It's easy to forget. I mean, you guys live in a mansion, so who knows who's in there at any given moment.

PROBLEM: What the hell do you mean I can't run it as a story? You've just talked about time travel.

SOLUTION:

assistant: I have this note that was pinned to my body and it said "you already told Chuck, you can't tell anyone else" and I don't know. I'm tired.
user: TASK DEFINITION: In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.
PROBLEM: We map each relation type $R(x,y)$ to at least one parametrized natural-language question $q_x$ whose answer is $y$ .

SOLUTION: How is the input triple translated to a slot-filling task?

PROBLEM: The current state-of-the-art approach BIBREF14 , BIBREF15 uses maximum entropy and CRF models with a combination of language model and hand-crafted features to predict if each character in the hashtag is the beginning of a new word.

SOLUTION: What current state of the art method was used for comparison?

PROBLEM: The goal of an language model is to assign meaningful probabilities to a sequence of words. Given a set of tokens $\mathbf {X}=(x_1,....,x_T)$, where $T$ is the length of a sequence, our task is to estimate the joint conditional probability $P(\mathbf {X})$ which is

were $(x_{1}, \ldots , x_{i-1})$ is the context. An Intrinsic evaluation of the performance of Language Models is perplexity (PPL) which is defined as the inverse probability of the set of the tokens and taking the $T^{th}$ root were $T$ is the number of tokens We propose an approximation of the joint probability as,

This type of approximations has been previously explored with Bi-directional RNN LM's BIBREF9 but not for deep transformer models. We therefore, define a pseudo-perplexity score from the above approximated joint probability.

SOLUTION:

assistant: How is pseudo-perplexity defined?
user: This task is to translate the Telugu Language Input to English Language Output

Example Input: అత్యాచారాల పెరుగుదల-దాని నివారణలు
Example Output: Increasing rape cases-Few reasons & Solutions

Example Input: అదే నచ్చితే ఏమైనా చేస్తా
Example Output: Hello, just wanted to tell you, I enjoyed this

Example Input: న ప్రధాన (current)
Example Output:

assistant: On the main (current)
user: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Polish.

Ex Input:
ولی ، تنها چیزی که احتیاج بود ، همان عملِ سادة ملاحظه کردن بود. پس ، من خیلی خوش بین هستم.

Ex Output:
A wszystko to wymagało tylko zwrócenia uwagi. Tak więc, jestem dobrej myśli.


Ex Input:
در ۱۲ سال گذشته وضع او بدتر و بدتر شد و به خصوص سرگردانی های او برای خانواده من خیلی استرس زا بود.

Ex Output:
Przez ostatnich 12 lat jego stan się pogarszał, ale to jego wędrówki przysporzyły nam najwięcej stresu.


Ex Input:
اون خواهرمه. اون عکسها رو ردیف کرد. چون من گردآورنده ی بزرگ عکسهایی بودم که باور داشتم حرفهای زیادی برای گفتن دارند.

Ex Output:


assistant: To moja siostra. Zajęła się zdjęciami, bo ja byłem zapalonym kolekcjonerem fotografii, o której sądziłem, że ma wiele do przekazania.