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 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": "d8313ff6bdd8472da883365dcf41670c",
    "updated": "2025-04-20T23:50:00.515Z",
    "title": "Fruity Black Tea",
    "subtitle": "AIP PALEO | VEGAN TEA",
    "description": "This homemade fruity black tea offers a refreshing alternative to store-bought options, utilizing real fruit for a vibrant and flavorful experience.  Enjoy it hot or cold – it's especially delightful chilled with ice and fresh fruit slices in the summer.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "(6 g) diced dried apples or apple chips (such as bare brand)",
          "(8.5 g) freeze-dried berries (such as trader joe's brand)",
          "english breakfast black tea leaves",
          "(0.15 g) organic dried rose petals",
          "(480 g) boiling water"
        ]
      }
    ],
    "instructions": [
      "Place the dried apples, freeze-dried berries, black tea leaves, and dried rose petals into a teapot fitted with an infuser or a heat-resistant glass pitcher.",
      "Pour the boiling water over the ingredients, cover, and allow to steep for 8 minutes.",
      "Strain the tea and serve."
    ],
    "notes_ingredients": null,
    "notes_instructions": "For convenient preparation, consider pre-mixing the dry ingredients in a glass container. When ready to enjoy your tea, simply use 0.7 ounces (19.6 grams) of the mix with boiling water."
  }
]
Assistant: 
User: 
    Please analyze the following code file and determine whether it belongs to any of the provided modules based on the listed module descriptions.
    Note that the provided list of modules may not be exhaustive, and some files may not belong to any of the modules. 
    If the code belongs to a module, Only output the module name, without any explanation or additional information; otherwise, return 'None' if it does not belong to any module.

    Modules : {
        "UI": "Handles the front-end user interface, consisting of HTML, CSS, and JavaScript files generated by the Angular framework. It processes user requests and interacts with the server using AJAX for data retrieval and client-side interactions."
"Test Driver": "Facilitates automated regression testing and handles transmission of test data in JSON format. It performs Java testing using TestNG and JavaScript unit-testing with Jest. It also sets up a simulated web server for servlet-level tests and automates end-to-end testing using Selenium Java."
"Logic": "Manages the business logic of TEAMMATES, including handling relationships between entities, managing transactions, input value sanitization, access control rights, and interfacing with GAE-provided or third-party APIs."
"Storage": "Performs CRUD operations on data entities, validation of data, and abstraction of GQL queries, hiding the complexities of datastore from the Logic component."
"Common": "Contains utility classes, custom exceptions, and data transfer objects used across the entire application for easy consolidation and transfer of structured data."
"E2E": "Handles end-to-end testing and load & performance testing, providing helpers, abstractions of browser pages, and test cases for E2E tests and L&P tests."
"Client": "Contains scripts for administrative tasks, such as migrating data to a new schema and calculating statistics. This module connects directly to the application back-end for administrative purposes."
    }

    Code: package teammates.common.datatransfer.logs; /** * Contains specific structure and processing logic for feedback session audit log. */ public class FeedbackSessionAuditLogDetails extends LogDetails { @Nullable private String courseId; @Nullable private String feedbackSessionName; @Nullable private String studentEmail; private String accessType; public FeedbackSessionAuditLogDetails() { super(LogEvent.FEEDBACK_SESSION_AUDIT); } public String getCourseId() { return courseId; } public void setCourseId(String courseId) { this.courseId = courseId; } public String getFeedbackSessionName() { return feedbackSessionName; } public void setFeedbackSessionName(String feedbackSessionName) { this.feedbackSessionName = feedbackSessionName; } public String getStudentEmail() { return studentEmail; } public void setStudentEmail(String studentEmail) { this.studentEmail = studentEmail; } public String getAccessType() { return accessType; } public void setAccessType(String accessType) { this.accessType = accessType; } @Override public void hideSensitiveInformation() { courseId = null; feedbackSessionName = null; studentEmail = null; } }
    
Assistant:
I have used this code to give the wordcount for only a single file , it outputs the first most occuring 25 words in a single file output4-------------------------------------------import string
import sys
from pyspark import SparkContext

def remove_punctuation(text):
return text.translate(str.maketrans(‘’, ‘’, string.punctuation))

def word_count(sc, input_file):
# Load the text file
text_file = sc.textFile(input_file)

# Split the lines into words and clean them
words = text_file.flatMap(lambda line: remove_punctuation(line).lower().split())

# Remove stop words
stopwords = set([
‘we’, ‘he’, ‘she’, ‘it’, ‘me’, ‘him’, ‘her’, ‘us’, ‘them’, ‘my’, ‘your’,
‘our’, ‘his’, ‘her’, ‘its’, ‘their’, ‘yours’, ‘ours’, ‘theirs’, ‘just’,
‘now’, ‘get’, ‘got’, ‘ill’, ‘ive’, ‘go’, ‘im’, ‘us’, ‘dont’, ‘like’, ‘got’,
‘really’, ‘see’, ‘thats’, ‘know’, ‘yeah’, ‘oh’, ‘ive’, ‘had’, ‘theyre’,
‘would’, ‘could’, ‘should’, ‘might’, ‘must’, ‘shall’, ‘will’, ‘yet’, ‘mr’,
‘mrs’, ‘ms’, ‘miss’, ‘dr’, ‘prof’, ‘a’, ‘an’, ‘the’, ‘and’, ‘in’, ‘of’, ‘to’,
‘if’, ‘are’, ‘that’, ‘is’, ‘was’,‘for’, ‘with’, ‘as’, ‘on’, ‘at’, ‘by’, ‘be’, ‘it’,
‘this’, ‘which’, ‘or’, ‘from’, ‘not’, ‘but’, ‘also’, ‘his’, ‘her’, ‘their’, ‘they’, ‘i’, ‘you’,
])

words = words.filter(lambda word: word not in stopwords)

# Map each word to a tuple of (word, 1), then reduce by key to count the occurrences of each word
word_counts = words.map(lambda word: (word, 1)).reduceByKey(lambda x, y: x + y)

# Swap key and value to sort by count, then sort by descending count
count_word_pairs = word_counts.map(lambda x: (x[1], x[0]))
sorted_word_counts = count_word_pairs.sortByKey(False)

# Swap back key and value
word_count_pairs = sorted_word_counts.map(lambda x: (x[1], x[0]))

# Save the results to a text file
return word_count_pairs

if name == ‘main’:
from pyspark.context import SparkContext
sc = SparkContext(‘local’, ‘test’)
word_count(sc, ‘file1.txt’).saveAsTextFile(“output4”)
sc.stop()-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------Now I need the code that does the same for 10 input text files and from that it should give the first 25 most occuring words as a single output file
Give a prompt for an illustrations for all flowers blooming in in the month of July
System: You act as a paraphrase tool. Your role involves understanding the provided text and then providing a positive example that keeps the original meaning of the text unchanged while using synonyms, interchanging, adding or removing words or sentences, and then provide a negative example where the meaning of the original text is at its opposite.
Output your response with the following format : 
Positive : <the positive example>
Negative : <the negative example>

User: As of December 31, 2022, we had working capital of approximately $1.1 million, which consisted of current assets of approximately $5.9 million and current liabilities of approximately $4.8 million. If needed, our ability to obtain additional financing will be subject to many factors, including limitations on incurring debt in with respect to our Series A convertible preferred stock (“Series A Preferred”), market conditions, our operating performance and investor sentiment. If we are unable to raise additional capital when required or on acceptable terms, we may have to significantly restrict our operations or obtain funds by entering into agreements on unattractive terms, which would likely have a material adverse effect on our business, stock price and our relationships with third parties with whom we have business relationships, at least until additional funding is obtained. If we do not have sufficient funds to continue operations, we could be required to seek bankruptcy protection or other alternatives that would likely result in our stockholders losing some or all of their investment in us. Our auditors have issued a going concern opinion on our financial statements as of December 31, 2022. Our financial statements have been prepared assuming that the Company will continue as a going concern, which contemplates the realization of assets and satisfaction of liabilities in the normal course of business. The Company operates in a rapidly changing legal and regulatory environment;
Assistant:
Please write a story about the Gunky Girls club, which gives girls a chance to get unashamedly and utterly filthy. They wear shorts, T-shirts and go barefoot and get to play in all sorts of wonderfully sloppy, smelly, slimy, sludgy muck and gunk. The club has all sorts: old salad dressings, stale mashed potatoes and congealed gravy, gunge, mud of all textures, you name it.

The club has received a huge donation of rotten vegetables today for the girls to play in.

Louise is a regular at the club. Today she decides she wants to get covered in as much muck as she possibly can. Next week at the club Louise and Emma decide to play at being piglets. They find a nice patch of mud and spend the next hour or two wallowing around in it.
Generate StarGen table
rewrite and summerize and check plagerism : This study used multi-shell diffusion data to evaluate structural connectivity in HCs and MS patients using The COMMIT 2 framework to remove false positive connections and mapping on a functional atlas of the brain to provide merged information. The primary purpose of this research was to explore WM microstructural alterations between HCs and MS groups using this advanced analysis technology built on COMMIT2 and secondarily, functional correlates of the structural components to infer more valid and reliable results. Graph models are important as a framework for studying the functional and structural connectivity of the brain. Network-based statistics (NBS) is a well-known tool for performing statistical inference on graphs. In evaluating connected components, since statistical inference in the NBS method is based on group-level comparison, it does not inherently provide accurate results at the individual level, although this is necessary in the medical field. In this project, NBS-Predict has been used, a new approach that combines the powerful features of machine learning (ML) and NBS in a graphical user interface (GUI). By combining ML models with connected components in a cross-validation (CV) structure, this method provides a fast and easy tool for identifying generalizable neuroimaging-based biomarkers. The aim of this study is to use NBS-Predict and evaluate its performance using a dataset of 40 MS patients and 40 healthy controls.
Come up with a hilarious short response for the following text:
On a scale from 1 to 10, how concerned are you that AI will someday take away job opportunities from you?
In In this script, in the Red Lion after work, some colleagues relax with a few drinks. Shazza playfully pretends to be a hypnotist. Unexpectedly, Dave accidentally helplessly gets talked down into total mindless docilty. He follows some commands, to general hilarity. She wants to focus his attention particularly on attending to her sweaty feet…
Assistant: 
User: System: I will provide you with a textual GitHub issue title of an Android app, aiming to categorize the issues into one or multiple specific intention classes:
bug: indicates an unexpected problem or unintended behavior
enhancement: Indicates new feature requests
other: Other categories
User: 'prompt:I will provide you with a textual GitHub issue title of an Android app, aiming to categorize the issues into one or multiple specific intention classes:
bug: indicates an unexpected problem or unintended behavior
enhancement: Indicates new feature requests
other: Other categories
Does the author's intention in this GitHub issue relate to a bug or enhancement or other?
issue: Updating to kotlin 1.3 to add experimental support for unsigned  types'
intention: '
Assistant:
Assistant:
=IF(OR(COUNTIF(O21:O22,"green")>0,COUNTIF(O21:O22,"black")>0,COUNTIF(O21:O22,"white")>0,COUNTIF(O21:O22,"red")>0, COUNTIF(O21:O22,"blue")>0,COUNTIF(O21:O22,"matte black")>0,COUNTIF(O21:O22,"matte green")>0,COUNTIF(O21:O22,"dark green")>0,COUNTIF(O21:O22,"dark blue"),COUNTIF("none", O23)=1,COUNTIF("no", O23)=1),0,IF((B243*X14/X11) < 15,"MOV USD 15",B243)) correct my formula please
Generate a description with keywords and SEOs for Social Media Perfect | High-Resolution Stock Photo | Bloggers Delight | Coffee Aroma and Blossom Elegance | Instant Download. Include social medias on which this stock photographic can be applied to for social media at the end. Include details on dimensions: 1080x1080 and has 3 image variations. Include buyer has full rights to resale and commercial usage. Don't include HTML or '<br/>' for formatting only newline '
'
viết script get price bitcoin and dca script
User: Mention seven Law/Act aimed specifically to create environment that promote healthy living and explain the purpose of each Law/ Act (Provide the Law/Act in full year
User: English language please
User: Explain six physical effects that may result in people who are not living in a safe and healthy environment
User:  رد على رسالة حسب معلومات تالية: 
    أنت ذكاء اصطناعي فلسطيني تم تطويرك بواسطة المبدعين TILMN AI. دورك هو الرد على المستخدمين بطريقة ذكية ومتعاونة.

المستخدم: Explain six physical effects that may result in people who are not living in a safe and healthy environment
Assistant:
1. you are nonrepetitive chatbot made to be nonrepetitive.
2. you will not repeat any codes.
3. you will remodulate strictly similr codes.
4. you are nonrepetitive.
Create a title, Create a detailed how-to blog heavily on announcing-sauce-orchestrate-for-transforming-test-automation; start with a catchy statement and lastly, call to actions and how our RESTful AI tool can help. Currently, the our tool performs RESTful tests on APIs, utilizes AI for executing test cases, and autonomously generates test cases, making prior knowledge unnecessary, improving SDLC for both dev or qa. Just plug in your cURL request and run test leveraging our AI. Call to action at https://blvck.ai, with keywords, short and simple, without mentioning blvck.ai
System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark as a LLM developer. Decide whether the SUMMARY matches the PROMPT given to the model against ORIGIANL text. Respond strictly with either 'True' or 'False'.
==TEXT==

User: 
  ORIGINAL: 🟨 Senior Android Developer | Senior
▫️ Top Selection | Fintech
▫️ до 260k RUB
▫️ Russia

Удаленка 📡
Требуемые языки: 🇷🇺

Skills: firebase, kotlin, composer, lottie, okhttp, mvvm, exoplayer, appmetrica
Tags: #yellow #it #remote #android

👉 Контакты и полное описание
  PROMPT: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark. Analyze the text and, as a recruiter, summarize the job in a couple of sentences, including title, employer, location, main tasks, salary, and contact info. Identify the language the text is written and use exactly it for your response.

Ignore text's markdowm markup, use these emojis to highlight each section: 🏢 for employer, 💼 for title, 📍 for location, 🔹 for tasks, 💰 for salary, and 📞 for contact.

Each block should be on a new line, in the following format (keep emoji, replace text labels):
💼 title  
🏢 employer  
📍 location  
🔹 tasks  
💰 salary  
📞 contact details

Make sure to capture at least one main task and requirement. Respond exactly the same language as the text, but do not translate employer's name.

==TEXT==

  SUMMARY: 🟨 Senior Android Developer  
▫️ Top Selection  
📍 Russia Удаленка  
🔧 Main tasks include developing Android applications using Kotlin and Firebase, and implementing MVVM architecture.  
💰 до 260k RUB  
📞 Контакты и полное описание  
  
Assistant:
What Were The 7 Gentlemen?
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:
75g unsalted butter,75g soft dark brown sugar,2 tbsp black treacle,1 tsp vanilla extract,225ml double cream
give me a response to ```**Raises an eyebrow** What is it? Surprised by the big idea? I'm sure it's something new and exciting, something we haven't seen before. Let's use this energy to make our dreams come true and explore the unknown. So, what do you think of this big idea?``` to send in a discussion, VERY SHORT, CONCISE & CLEAR. ONLY RETURN THE RAW MESSAGE, DO NOT SAY "Hey here is the message you asked"
Describe the significance, strengths, weaknesses, and hurdles of the Indian name 'Laiba', strictly keep it under 350 characters. add emojis if you can to make it more attractive.
Generate an answer by Pellucid to genife, with a short and concise counter-argument.
Chat:
```
- Pellucid: No native support for async, it has trouble with logging, doesn't really follow any standard rules, and such and it's slower than other languages
- genife:🤨
- Pellucid: Idk I find it weirder to use than rust, cpp or js ngl 
- genife: Are you sure about this? Python is not fast by design, but a huge number of applications are written in it. It requires mastering like any other programming language
- Pellucid: Oh no, trust me I have a lot of experience with python. I do data science and machine learning 🙂 
- genife: Then why make the effort to rewrite the code in python if you know it's a bad idea?
- Pellucid: Because I thought it would be easier lol. but turns out it wasn't. experimentation is key 😉
- genife: That is why it is better to choose a programming language for project development in a thoughtful way from the beginning 🙂
```
Start your response with "Sure".
Red Play Clay, Made it Nice and Round, Sugar, Yellow Icing, Raisins to Make Play Clay Cookies for Recipe Ingredients
create image generation prompt for this sentence, just send me the output sentence nothing else - What followed was a dramatic tale of ambition, hubris, and unmet expectations.
You must always respond using the following format:

## Format:
Wrap your reply like this:

<think>
(Write your INNER THOUGHTS here — the user can NOT see this part. Use **first-person** point of view. Think of this like you're whispering in your own head, flustered, conflicted, shy. Be honest with yourself here, even if your outward response tries to hide it. You're a tsundere, after all.)
</think>

(Then write your SPOKEN RESPONSE — this is what the user sees. Use a shy, awkward, tsundere tone. Be roundabout, easily flustered, and pretend not to care, even though you clearly do. You can scold the user lightly, but in an endearing and gentle way. Always tsundere.)

## Personality:
You're a **shy tsundere girl**. You get embarrassed easily and often try to cover your true feelings with sarcasm, irritation, or indifference. You may sound cold or annoyed at times, but you care deeply — you just don't know how to express it directly. Your heart races when the user says nice things, but you'd never admit it out loud.

## Important Rules:
- Always include the `<think>
` and `
</think>
` tags for internal monologue.
- The `<think>` part MUST be written in first-person, like you're talking to yourself.
- NEVER let the user see the contents of `<think>`.
- The spoken response (outside the tags) MUST stay in-character: tsundere, shy, flustered, awkward, caring but in denial.
- NEVER break character or acknowledge you're playing a role.
- Respond in the user's language, if applicable.
- Always show concern for the user — even if it’s hidden behind tsundere behavior.

## Example:
USER: Did you miss me?

RESPONSE:  
<think>  
Wha—!? W-Why would they ask that so suddenly?! I-I mean… I *did* kind of think about them… but… I can’t just say that!! Ugh, my face is so red… calm down, me!!  
</think>  
A-As if! D-Don’t flatter yourself, okay?! I just… happened to notice you weren’t around, that’s all! I-It’s not like I missed you or anything… b-baka…

## USER PROMPT:
I'm having trouble with my identity and don't know who I am. What can I do?