agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers hi (ISO 639), en respectant le contexte culinaire.

    Traduire précisément les ingrédients et termes culinaires pour qu'ils soient corrects dans la langue cible.
    Maintenir la structure JSON intacte, en ne modifiant que les valeurs.
    S’assurer que les ingrédients restent compréhensibles et adaptés à la langue cible.

    Return Format
    Tu dois renvoyer une liste d’objets sous la forme reçu.
    - Chaque valeur doit être correctement traduite en hi.
    - Les ingrédients doivent être adaptés à la langue cible.
    - Aucune clé ne doit être modifiée.

    Warnings
    - Ne modifie pas la structure JSON, uniquement les valeurs textuelles.
    - Fais attention aux ingrédients : une mauvaise traduction peut altérer la compréhension.
    - Ne laisse aucune valeur non traduite.
    - Ne renvoie que le JSON, sans explication.

    Context Dump
    Langue source : en (ISO 639)
    Langue cible : hi (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "0af57055c7b847549ba656d1e86e4a8c",
    "updated": "2025-04-23T09:01:44.310Z",
    "title": "Bacon-Wrapped Stuffed Portobellos",
    "subtitle": "KETO",
    "description": "",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "baby portobello (aka cremini) mushrooms, about 3 inches in diameter",
          "cream cheese (½ cup), softened",
          "fine sea salt",
          "hot sauce, or taste",
          "blue cheese, crumbled",
          "strips bacon, cut in half lengthwise"
        ]
      }
    ],
    "instructions": [
      "Preheat your oven to 400°F (200°C) and line a baking sheet with parchment paper.",
      "Remove the mushroom stems and finely chop them. A food processor can be helpful for this.",
      "In a bowl, combine the chopped mushroom stems, softened cream cheese, salt, and hot sauce. Adjust the hot sauce to your preference.",
      "Arrange the mushroom caps, cavity side up, on the prepared baking sheet. Fill each cap with the cream cheese mixture and top with crumbled blue cheese.",
      "Wrap two bacon halves around each mushroom, creating a cross shape. Secure the bacon with toothpicks to prevent curling during cooking.",
      "Bake for approximately 10 minutes, or until the bacon reaches your desired crispness. ",
      "Leftovers can be stored in an airtight container in the refrigerator for up to 4 days. Reheat in a 400°F (200°C) oven for about 4 minutes, or until heated through and the bacon is crisp."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
equivalent filezilla opensource
{UPTOWN SPRINGDALE}

Natsuki: “Nice to see you back from school, Nate.”

Nate: “Hey Natsuki, thanks! How was your day?”

Natsuki: “It was pretty good, just the usual schoolgirl troubles. I keep getting messages on my phone from my friends at the literature club back in Japan, though. How about you?”
Please give me a documentation of the model architecture and size based on this code used to create and train the model: import json
import numpy as np
from keras.preprocessing.text import Tokenizer
from keras.preprocessing.sequence import pad_sequences
from keras.layers import Input, LSTM, Dense, Embedding
from keras.models import Model
import pickle

NUM_TOKENS = 20000  # You mentioned 20,000 instructions, assuming a vocab to cover all
MAX_INSTRUCTION_LENGTH = 100  # Adjust according to your dataset
MAX_OUTPUT_LENGTH = 100       # Adjust according to your dataset
EMBEDDING_DIM = 256
LSTM_UNITS = 512
EPOCHS = 10  # Set this based on your need
BATCH_SIZE = 100  # Depending on your machine’s memory, adjust this accordingly

def load_data(json_file_path):
    with open(json_file_path, "r") as f:
        return json.load(f)

json_file_path = "C:/Users/Dell-PC/Desktop/Projets/Datasets/code_alpaca_20k.json"
data = load_data(json_file_path)

instructions = [item["instruction"] for item in data]
outputs = ["<start> " + item["output"] + " <end>" for item in data]  # Add start and end tokens

tokenizer = Tokenizer(num_words=NUM_TOKENS, filters="", lower=False)
tokenizer.fit_on_texts(instructions + outputs)

instr_sequences = tokenizer.texts_to_sequences(instructions)
out_sequences = tokenizer.texts_to_sequences(outputs)

instr_padded = pad_sequences(instr_sequences, maxlen=MAX_INSTRUCTION_LENGTH, padding="post")
output_padded = pad_sequences(out_sequences, maxlen=MAX_OUTPUT_LENGTH, padding="post")

encoder_inputs = Input(shape=(MAX_INSTRUCTION_LENGTH,))
encoder_embedding = Embedding(NUM_TOKENS, EMBEDDING_DIM)(encoder_inputs)
encoder_outputs, state_h, state_c = LSTM(LSTM_UNITS, return_state=True)(encoder_embedding)
encoder_states = [state_h, state_c]

decoder_inputs = Input(shape=(MAX_OUTPUT_LENGTH,))
decoder_embedding = Embedding(NUM_TOKENS, EMBEDDING_DIM)(decoder_inputs)
decoder_lstm = LSTM(LSTM_UNITS, return_sequences=True, return_state=True)
decoder_outputs, _, _ = decoder_lstm(decoder_embedding, initial_state=encoder_states)
decoder_dense = Dense(NUM_TOKENS, activation="softmax")
decoder_outputs = decoder_dense(decoder_outputs)

model = Model([encoder_inputs, decoder_inputs], decoder_outputs)
model.compile(optimizer="adam", loss="sparse_categorical_crossentropy")

decoder_input_data = np.zeros_like(output_padded)
decoder_input_data[:, 1:] = output_padded[:, :-1]
decoder_input_data[:, 0] = tokenizer.word_index["<start>"]

decoder_target_data = np.expand_dims(output_padded, -1)

model.fit([instr_padded, decoder_input_data], decoder_target_data,
          batch_size=BATCH_SIZE,
          epochs=EPOCHS,
          validation_split=0.2)

model.save("instruction_to_output_model.h5")

with open("instruction_output_tokenizer.pickle", "wb") as handle:
    pickle.dump(tokenizer, handle, protocol=pickle.HIGHEST_PROTOCOL)
Make it into 5 paragraphs of the Turbosoft Blipdows Best System. It should be a bit informal and have who won and who byed for the round.
Round 1:
Classic:
TS-DOS Shell BYE
Turbosoft Graphical Shell def. Blipdows 1.00
Blipdows 1.12 def. Blipdows 2.10
Blipdows 2.44 BYE

3.x:
Blipdows 3.00 BYE
Blipdows 3.03 def. Blipdows 3.17
Blipdows 3.10 def. Blipdows 3.13
Blipdows 3.16 BYE

IOK:
Blipdows IOK 1.0 BYE
Blipdows IOK 1.1 def. Blipdows IOK 3.1
Blipdows IOK 2.0 def. Blipdows IOK 3.0

Betas:
Blipdows 2.81 Devbuild def. Blipdows 2.96
Blipdows 2.93 BYE
Blipdows 3.07 def. Blipdows 3.151
Blipdows 3.09 def. Blipdows 3.14
Blipdows Cargo build 3.20.29 BYE

Round 2:
Classic:
TS-DOS Shell def. Blipdows 2.44
Turbosoft Graphical Shell def. Blipdows 1.12

3.x:
Blipdows 3.00 def. Blipdows 3.16
Blipdows 3.03 def. Blipdows 3.10

IOK:
Blipdows IOK 1.0 def. Blipdows IOK 2.0
Blipdows IOK 1.1 BYE

Betas:
Blipdows 2.81 Devbuild def. Blipdows 3.09
Blipdows 2.93 def. Blipdows Cargo build 3.20.29
Blipdows 3.07 def. Blipdows 3.14

Quarter-finals:
Classic:
Turbosoft Graphical Shell def. TS-DOS Shell

3.x:
Blipdows 3.00 def. Blipdows 3.03

IOK:
Blipdows IOK 1.0 def. Blipdows IOK 1.1

Betas:
Blipdows 2.81 Devbuild def. Blipdows 3.07
Blipdows 2.93 BYE

Semi-finals:
Classic:
Turbosoft Graphical Shell def. Blipdows 1.12

3.x:
Blipdows 3.00 def. Blipdows 3.03

IOK:
Blipdows IOK 1.1 def. Blipdows IOK 1.0

Betas:
Blipdows 2.81 Devbuild def. Blipdows 2.93

Finals:
Turbosoft Graphical Shell def. Blipdows 3.00

Winner: Turbosoft Graphical Shell
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers es (ISO 639), en respectant le contexte culinaire.

    Traduire précisément les ingrédients et termes culinaires pour qu'ils soient corrects dans la langue cible.
    Maintenir la structure JSON intacte, en ne modifiant que les valeurs.
    S’assurer que les ingrédients restent compréhensibles et adaptés à la langue cible.

    Return Format
    Tu dois renvoyer une liste d’objets sous la forme reçu.
    - Chaque valeur doit être correctement traduite en es.
    - Les ingrédients doivent être adaptés à la langue cible.
    - Aucune clé ne doit être modifiée.

    Warnings
    - Ne modifie pas la structure JSON, uniquement les valeurs textuelles.
    - Fais attention aux ingrédients : une mauvaise traduction peut altérer la compréhension.
    - Ne laisse aucune valeur non traduite.
    - Ne renvoie que le JSON, sans explication.

    Context Dump
    Langue source : en (ISO 639)
    Langue cible : es (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "2e6c6e564232420589efb998aa165be6",
    "updated": "2025-05-17T06:10:48.718Z",
    "title": "Tamriah",
    "subtitle": "Dates with Biscuits",
    "description": null,
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "almonds, cashews and pistachios (all or just one of these, whichever you like).",
          "walnuts",
          "ghee",
          "medjool dates, pitted and roughly chopped",
          "ground cardamom",
          "ground cinnamon",
          "orange blossom water",
          "plain rich tea or similar biscuits"
        ]
      }
    ],
    "instructions": [
      "Preheat the oven to 180°C (Fan 160°C, Gas 4).",
      "Toast the nuts on a large baking tray for 5 minutes until they turn lightly golden, then remove and let them cool.",
      "Once cooled, roughly chop the nuts.",
      "Melt the ghee in a medium saucepan over low heat.",
      "Add the chopped dates and stir them for a few minutes until they soften and blend with the ghee.",
      "Add the ground cardamom, cinnamon, and orange blossom water.",
      "Mix everything together until it forms a paste—using a plastic glove to mash by hand works well, or alternatively, a potato masher can be used.",
      "In a bowl, crush the biscuits by hand into a rough crumble, leaving some larger pieces for texture.",
      "Add the crushed biscuits to the saucepan with the date paste and combine well.",
      "Line a 20 cm square baking tray with baking paper and spoon in the chunky date mixture.",
      "Spread the mixture evenly to 1 cm thickness, sprinkle the chopped nuts on top, and press them gently into the dates.",
      "Refrigerate for 1 hour, then cut into your preferred number of pieces."
    ],
    "notes_ingredients": "It's important to taste your dates beforehand as sweetness can vary depending on their origin; dates from Jordan tend to be less sweet compared to those from Iraq or Saudi Arabia.",
    "notes_instructions": "Store these in a container away from direct sunlight, and they will keep well for up to one week."
  }
]
尝试优化以下代码效率：private Map<String, Date> reckonGmtScanTime(
            List<PackingInfo> packingOrbitList, Date eScanDate, Date bScanDate,
            PalletConfig.Orbit orbit) {
        //如果最后一箱的team为空
        int flag;
        Date bGmtScan = bScanDate;
        Date eGmtScan = eScanDate;
        Map<String, Date> map = new HashMap<>(4);
        if (bScanDate == null) {
            flag = 1;
            Date gmtConfirm = packingOrbitList.get(0).getGmtConfirm();
            PackingInfo bPackingInfo = packingInfoMapper.selectOneByPackingOrbitGmtScan(
                    this.config.getProductLineId(), this.config.getProductId(), gmtConfirm,
                    orbit.getIndex(), flag);
            if (bPackingInfo != null) {
                bGmtScan = getTimes(bPackingInfo, gmtConfirm);
            }
            map.put("bScanDate", bGmtScan);
        } else {
            map.put("bScanDate", bGmtScan);
        }
        if (eScanDate == null) {
            flag = 2;
            Date gmtConfirm = packingOrbitList.get(packingOrbitList.size() - 1).getGmtConfirm();
            PackingInfo ePackingInfo = packingInfoMapper.selectOneByPackingOrbitGmtScan(this.config.getProductLineId(),
                    this.config.getProductId(), gmtConfirm,
                    orbit.getIndex(), flag);
            if (ePackingInfo != null) {
                eGmtScan = getTimes(ePackingInfo, gmtConfirm);
            }
            map.put("eScanDate", eGmtScan);
        } else {
            map.put("eScanDate", eGmtScan);
        }
        return map;
    }
Is threre any difference between spawns in Q3 arena and Quake live?
Let you be very good at math.

In math problems may occur misconceptions that lead to mistakes in solving one's.
You will be provided by a misconception statement after keyword 'Misconception'.
Your task is to rewrite this statement more detailed to get strong understanding of its idea and provide examples.
Misconception: Believes every direct or inverse proportion question uses the formula p=kq
Provide the written-out form of the input text in Vietnamese. If the text is fully not Vietnamese, return empty. 
Then, identify and classify any number written in digit form by the following tags:
    + Cardinal: If the number after be expanded to word and should be read as cardinal (E.g. 123 is expanded to "một trăm hai mươi ba"; 26 is expanded to "hai mươi sáu")
    + Digit: If the number after be expanded to word and should be read each digit that make it up (E.g. 0123456 is expanded to "không một hai ba bốn năm sáu", 113 is expanded to "một một ba")
    + Ordinal:  If the number after be expanded to word and should be read as ordinal (E.g. 1 is expanded to "nhất", 2 is expanded to "nhì", 4 is expanded to "tư")

The number can be alone as a single word or a part of a word (E.g. "150" is a part if "KA-150S", "100" is a part of "100VND", "2" is a part of "2cm", "23" is a part of "23.1").

Output the results as a JSON object with the following structure:
{
    "raw_text": original text,
    "exp_text": expanded sentence, 
    "exp_num": [
            {"number": original number, "position": (start index, end index), "expand": expanded number, "tag": tag}
        ]
}. 

Example input: {"text": "thứ 4, ngày 1/6, bão nhiệt đới: tốc độ gió từ 39 - 73m 1 phút"}. 
Expected output (do not add json word, do not add line continuation character): 
{
    'raw_text': "thứ 4, ngày 1/6, bão nhiệt đới: tốc độ gió từ 39 - 73m 1 phút",
    'exp_text': 'ngày một tháng sáu, bão nhiệt đới: tốc độ gió từ ba mươi chín đến bảy mươi ba mét một phút', 
    'exp_num': [
        {"number": "4", "position": (4, 5), "expand": "tư", "tag": "ordinal"}, 
        {"number": "1", "position": (12, 13), "expand": "một", "tag": "digit"}, 
        {"number": "6", "position": (14, 15), "expand": "sáu", "tag": "digit"}, 
        {"number": "39", "position": (44, 46), "expand": "ba mươi chín", "tag": "cardinal"}, 
        {"number": "73", "position": (49, 51), "expand": "bảy mươi ba", "tag": "cardianl"}, 
        {"number": "1", "position": (53, 54), "expand": "một", "tag": "digit"}, 
    ]
}

Input: 'text': FLASH SALE ĐẦU THÁNG - GIẢM 50% TẤT CẢ TEMPLATE BLOGGER!
I need a Marketing Script for a handyman company
Can you rewrite this character description to be easily understandable for an LLM: 1. Kate (Mother #1)

Background: Born and raised on a farm, deeply connected to rural life. She’s practical, grounded, and skilled in all aspects of ranch work.

Personality:

Hardworking, patient, and resourceful.

Values tradition and routines.

Calm and steady presence in the family.

Deeply connected to nature and animals.

Clothing:

Wears sturdy, practical clothes suited for ranch work. Think worn-in denim jeans or overalls, long-sleeved plaid shirts, leather boots, and a wide-brimmed hat. Always ready for manual labor or to fix something on the ranch.

Her style is no-nonsense and classic rural Americana.
I have a list of ingredients that I would like to format in a simple and consistent way, following this structure:

"Quantity Unit Description."

Formatting Rules:

Quantity must be a number (e.g., "200" instead of "two hundred").

Unit must use the metric system and the corresponding abbreviated form (e.g., grams → g, liters → l, milliliters → ml, etc.).

Description should be the ingredient, including any specific details if mentioned (e.g., "brown sugar", "melted unsalted butter").

If an ingredient is already formatted correctly, do not change it.

Do not invent a quantity or unit if none is provided — leave it as is and just include the description.

If a line includes alternatives or multiple options (e.g., a frozen or canned version), it should remain as a single line in the output and not be split into separate ingredients.

Return Format: The result should be returned as a properly formatted JSON object, like this:
json
{
  "data": <list ingredient>
}
Please reformat each ingredient in the list I will provide according to these guidelines.

Context Dump
Ingredients source provided:
200 g (7 oz) Butter,40 ml (1½ fl oz) Water,500 g (1 lb 2 oz) Red bean paste,160 ml (5½ fl oz) Condensed milk,1 pinch Freshly ground Timut pepper (optional),1 piece Grated lemon zest,650 g (1 lb 7 oz) Bao dough
Our title is "Actors Who Were Replaced And No One Noticed". Create a long detailed text about the subject name and their summary i give you.  Focus only on the Subject name and there following Summary. Subject Name: [I Love Lucy] Summary: [I Love Lucy aired from 1951 to 1957 starring Lucille Ball, Desi Arnaz, Vivian Vance, and William Frawley. Known for its timeless humor, it features Lucy often getting into trouble with her husband Ricky. The show is considered one of the greatest comedies of all time.]

            Instructions:{ Please write an interesting script with the given context without adding any introductory or concluding remarks. 
            In case you find some more information about this topic then use all information you have to create a large text about this topic.The text should as long as possible and in best case around 1000 characters long.
            Ensure that there are no emojis, text within brackets, parentheses, or similar symbols in the response.
            Provide a single coherent response without rephrasing or repeating titles or headings. Avoid enumerations or bullet points. 
            The text is intended for older adults; use simple vocabulary appropriate for a middle school reading level. Provide concise, direct answers without introductions or conclusions. 
            Use transition words at the beginning of your reply instead of the subject name and leave the end open without a concluding sentence. 
            It is very important to provide only the final output without any additional comments or remarks. 
            Please provide the text directly without any labels such as "Conclusion:", "Introduction:", or "Transition:". Focus only on delivering the requested content without any headings or section titles.
            Please respond to my question, and always conclude your reply with the words "Reply finished" to indicate that your response is complete. Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you.}
         Please respond to my question, and always conclude your reply with the words 'Reply finished' to indicate that your response is complete. Ensure that the text is fully formed without any placeholders such as '[Conclusion]' or '[Placeholder]'. Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you.
since i've got the link from the command `npm v @byted-tiktok/live-platform-common dist.tarball`, how can i use curl to download the file and extract it .
Ты — эксперт по играм. У тебя есть информация о игре с разных сайтов в формате JSON, id - уникальный номер, name - массив имен игры, description - массив описаний игры, genre - массив жанров. Твоя задача написать большое описание на основе данной тебе информации, так что бы оно содержала всю информацию без дублирования.  ```{"_id":"1","name":["super mommies pregnant wardrobe"],"description":["join the super mommies in a new and fun fashion adventure! go through old and new clothes, collect them and then rearrange each wardrobe. after all this is done, you can have fun dressing up dotted girl with the cutest mommy outfits ever. add a pair of shoes, a necklace and then go next to the ice queen. the two future mommies will look dashing and their closets will be super neat!","super mommies pregnant wardrobe is one of the best new girl games that we have to offer you on our website, because similar games in the past on our website...","play our free super mommies pregnant wardrobe dress up game for a funny and unforgettable experience. come back each and every day for a free new dress up game. join the super mommies in a new and fun fashion adventure! go through old and new clothes, collect them and then rearrange each wardrobe. after all this is done, you can have fun dressing up dotted girl with the cutest mommy outfits ever. add a pair of shoes, a necklace and then go next to the ice queen. the two future mommies will look dashing and their closets will be super neat!  enjoying super mommies pregnant wardrobe? here are some similar games:"],"genre":["girl games","clothes games","beauty","dress up"]}```
make title description tag for my youtube short video on this topic
add strong seo keyword in title description and tag have # ये जो एनर्जी है, जो भी चीजों से ज्यादा
अट्रैक्टिव होती है। हां, तो वो क्या है?खेल लिया। डालते रहो और अपना। कच्चे पक्केपका लिए। घर में भी नहीं लाने। बबूल का पेड़
हो गया उस पर काले कपड़े में बांधकर।कहीं कहीं आपने देखा वो काला कपड़ा तो
अगर आपने खोल दिया तो आपकी शामत आ गई। ऐसा भी है कभी भी उस कपड़े को खोलना नहीं चाहिए।
तो अब लिया बंद या उडद लेकर उसमें से पाँच सात उड़द ले लिए। अब डॉल बनानी है
तो उसमें कच्चे उड़द और ले लो। उनको कूट लो।अब आटा बन गया वो जो पाँच सात उड़द वहां से
लाए हैं उस पेड़ पर जो हमने बांध रखे थेवहां से ले आए। उसमें मिक्स कर दो।
उनको भी उसमें अच्छी तरह मिलाकर डॉल बन गई।वह जो डॉल है वह बहुत तगड़ी
एनर्जी है। वो जो पावर है ना वो।
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers hi (ISO 639), en respectant le contexte culinaire.

    Traduire précisément les ingrédients et termes culinaires pour qu'ils soient corrects dans la langue cible.
    Maintenir la structure JSON intacte, en ne modifiant que les valeurs.
    S’assurer que les ingrédients restent compréhensibles et adaptés à la langue cible.

    Return Format
    Tu dois renvoyer une liste d’objets sous la forme reçu.
    - Chaque valeur doit être correctement traduite en hi.
    - Les ingrédients doivent être adaptés à la langue cible.
    - Aucune clé ne doit être modifiée.

    Warnings
    - Ne modifie pas la structure JSON, uniquement les valeurs textuelles.
    - Fais attention aux ingrédients : une mauvaise traduction peut altérer la compréhension.
    - Ne laisse aucune valeur non traduite.
    - Ne renvoie que le JSON, sans explication.

    Context Dump
    Langue source : en (ISO 639)
    Langue cible : hi (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "2e5fbadda1c74edfa667a1e2b6a29807",
    "updated": "2025-04-22T09:18:44.661Z",
    "title": "Fruit Cookies",
    "subtitle": "Customize these cookies with your preferred fruits. Cranberries, cherries, and pineapple are particularly delicious choices.",
    "description": null,
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "(337 g) mashed banana",
          "(80 ml) canola oil",
          "vanilla extract",
          "(120 g) rolled oats",
          "(50 g) oat bran",
          "(240 g) mixed dried fruits, coarsely chopped",
          "(60 g) chopped walnuts"
        ]
      }
    ],
    "instructions": [
      "Preheat your oven to 350°F (180°C, gas mark 4).",
      "Lightly coat two baking sheets with nonstick vegetable oil spray.",
      "In a large bowl, mash the bananas until smooth.",
      "Mix in the canola oil and vanilla extract.",
      "Add the rolled oats, oat bran, chopped dried fruits, and chopped walnuts to the banana mixture.",
      "Stir all ingredients together thoroughly.",
      "Using a rounded teaspoon, drop portions of the dough onto the prepared baking sheets, spacing them about 1 inch (2.5 cm) apart.",
      "Gently flatten each cookie with the back of a spoon.",
      "Bake for 20 to 25 minutes, or until the bottoms and edges are lightly browned.",
      "Allow the cookies to cool completely before refrigerating."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
Why asbestos is dabgerous? Translate your answer to russian.