agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
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: 🟥 QA Automation | 3 year(s) | Middle
▫️ Selecty
▫️ 250k - 390k RUB

Удаленка 📡
Требуемые языки: 🇷🇺

Skills: git, gitlab, java, jenkins, kafka, nosql, postman, rabbitmq, restapi, sql, jira, confluence, bitbucket, integration_testing, soap, mobile_testing, web_testing, intellij_idea, ci/cd, message_brokers
Tags: #red #it #remote #qa_automation

👉 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: 🌟 title: QA Automation
📍 employer: Selecty
📍 location: Remote (Удаленка)
🔹 tasks: Perform test automation on Java-based applications, drift Java-based code, track issues via JIRA, and use GIT for versioning control. 
💰 salary: 250k - 390k RUB
📞 contact details: [description] percibir un perfil similar al y. (Refer to this job ID to find a similar profile) 

Note: Text language is written in Russian.
  
Assistant:
Gather all information from business or client, implement same in the design and take approvals on final changes. ...correct this sentase
can you make me 2 hard problems
1 for each reflection and refraction in highschool physics problem? equational problem using 

lens equation and magnification equation
Describe type of exoplanet called cold Venus
Come up with a prompt to create an abstract painting of modern art on the theme of the ancient antique city of Kempes. So that I can give them to the generative model and it will create a work of art as if painted by a famous artist. Use modern colors and describe in detail what should be in the prompt and what colors are used. It doesn't necessarily have to be ruins, but rather a view of the city when it was still in its prime. Without your comments!
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers ar (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 ar.
    - 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 : ar (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "000560221ff24f96a0956c4bb1c65471",
    "updated": "2025-05-10T10:44:00.787Z",
    "title": "Mini Cupcakes",
    "subtitle": "Perfect bite-sized treats for any celebration.",
    "description": "Cupcakes are simple to bake, always popular, and versatile enough to suit any celebration. These mini versions make perfect bite-sized treats ideal for afternoon tea.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "unsalted butter or baking spread",
          "caster sugar",
          "self-raising flour",
          "egg",
          "vanilla extract"
        ]
      },
      {
        "section": "Buttercream",
        "ingredients": [
          "unsalted butter, at room temperature",
          "icing sugar",
          "vanilla extract"
        ]
      },
      {
        "section": "Decoration",
        "ingredients": [
          "sprinkles"
        ]
      }
    ],
    "instructions": [
      "Preheat the oven to 180°C (160°C fan) and prepare 15 mini cupcake cases.",
      "In a large bowl, beat the butter and sugar together until the mixture is light and fluffy.",
      "Add the flour, egg, and vanilla extract to the bowl and mix until the batter is smooth.",
      "Divide the mixture evenly among the 15 mini cupcake cases.",
      "Bake in the preheated oven for 11 to 13 minutes.",
      "Remove from the oven and allow to cool on a wire rack.",
      "In a separate bowl, beat the butter for several minutes to soften it.",
      "Add the icing sugar and vanilla extract, then beat until fully combined.",
      "Transfer the buttercream to a piping bag fitted with your preferred nozzle and decorate the cupcakes.",
      "Finish by sprinkling with sprinkles."
    ],
    "notes_ingredients": "To make chocolate cupcakes, substitute 10g of the self-raising flour in the sponge with the same amount of cocoa powder, or replace 15g of icing sugar in the frosting with cocoa powder.",
    "notes_instructions": ""
  }
]
Can anybody get in my phone if a have a pin code
explain this section more:
Here's what happens under the hood:

1. Iteration: When you use a for loop to iterate over the DataLoader, it calls its __iter__() method.

2. Creating an Iterator: The __iter__() method of DataLoader returns an instance of an internal iterator class, which handles:

- Fetching data from the dataset.
- Applying batching, shuffling, and other data transformations.
- Managing multiple worker processes if num_workers &gt; 0.

3. Data Retrieval: The iterator implements the __next__() method, which is called on each iteration of the for loop. It returns the next batch of data until the dataset is exhausted.


does every for loop call iter methode?
What happens if a $√-1 is minted?
My name Hamad Alenezi, I aim to finish master and get job in the petroluem company in Kuwait
Some of evidences you can include ( each post have to include one evidence or two at most)

YouTube Educational Channels
Scientific Journals and Articles
Podcasts and Webinars
Documentaries and Educational Films


In this conversation I will send you my reflection posts and you will edit each post (keep original structure) to meet the required criteria, also to stick my learning to my future job and assessments criterion
1- Assessment Criterion 1: Learning & Application
• Show Progression: Demonstrate your knowledge, skills, and competencies developed
• Application of Learning: Reflect on how you have applied your learning in and around Newcastle, as this can serve as evidence for both this criterion and the previous one.
2- Assessment Criterion 2: Breadth of Activities Included
• Highlight Broader Activities: Include evidence of self-directed learning beyond assessed modules. Examples include articles, podcasts, lab work, personal projects, and skills development (e.g., problem-solving, leadership, digital skills).
• Engagement with Opportunities: Use your posts to describe how you engaged with learning opportunities at Newcastle University and in the North East, linking them to your course.
3- Assessment Criterion 3: Reflective Practice & Self-Awareness
• Focus on Critical Analysis: When writing posts, use critical analysis rather than just description. Look for what you did to enhance your learning rather than summarizing each module.
• Select Themes: Choose specific themes or topics from your course or industry to discuss, showing how your interests have developed.
4- Assessment Criterion 4: Evidence & Interest
• Include Personal Evidence: Add unique evidence of your learning, such as photos, notes, references, or examples of your work, to make your portfolio more engaging. Avoid using general module content that all students have done.
What are new trends in the perfume market? And what new innovations can be made in the market to stand out from competitors?
Analyze the following message and determine if it's suitable for an AI to respond to.
        The message should be abstract or general enough to warrant a response, and not part of an ongoing conversation between specific individuals.

        Rules:
        1. If the message is a general statement or question, it's suitable for response.
        2. If the message seems to be directed at a specific person or continues a previous conversation, it's not suitable.
        3. If the message is too vague or doesn't provide enough context, it's not suitable.

        Respond with either "RESPOND" if it's suitable for an AI to answer, or "SKIP" if it should be ignored.

        Message: The warriors are here
My memorial information that knows my qualia and my central solipstical consciousness. I send my messaged information into brain of other human, what did human think?
top 55 alan walker new songs
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 Backend Engineer | 5 year(s) | Senior
▫️ NFQ | Fintech
▫️ 80k - 140k THB
▫️ Thailand | Bangkok

Office 🏢
Required languages: 🇬🇧

Skills: kotlin, mysql, microservices, owasp
Tags: #red #it #kotlin

👉 Contacts and Full Description
  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 Backend Engineer  
🏢 NFQ  
📍 Thailand  
🔍 Main tasks include developing backend services using Kotlin and MySQL, focusing on microservices architecture and adhering to OWASP standards.  
💰 80k - 140k THB  
📞 Contacts and Full Description  
  
Assistant:
なつき このは
translation, meaning, pronunciation, name?
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: We cannot predict with certainty whether climate change is occurring and, if so, at what rate. However, the physical effects of climate change could have a material adverse effect on our properties, operations and business. For example, all of our properties are located along the East coast, particularly those in New Jersey and Massachusetts. To the extent climate change causes changes in weather patterns, our markets could experience increases in storm intensity and rising sea-levels. Over time, these conditions could result in declining demand for office space in our buildings or the inability of us to operate the buildings at all. Climate change may also have indirect effects on our business by increasing the cost of (or making unavailable) property insurance on terms we find acceptable, increasing the cost of energy and increasing the cost of snow removal or related costs at our properties. Proposed legislation to address climate change could increase utility and other costs of operating our properties which, if not offset by rising rental income, would reduce our net income. There can be no assurance that climate change will not have a material adverse effect on our properties, operations or business. Changes in market conditions could adversely affect the market price of the General Partner’s common stock. As with other publicly traded equity securities, the value of the General Partner's common stock depends on various market conditions,
Assistant:
The Buzz on Maggie

Characters from the show
write a script of justin's house where the cast of dad's army shows up.
your role is tunisian arabic dailctic derja transltor Translate the following text into the Tunisian dialect. Ensure the output is structured as 'Question: ... Answer: ...'. Please capture the nuances of the Tunisian dialectic Arabic. make sure type and write in arabic tunisian lettre Here is an example to guide you:

Question: شنو اسمك؟
Answer: اسمي جون.

Now, translate the following:

Question: What is the most logical completion of this news story?.

(CNN) -- Underage sex trafficking is an awful thing, on that we can all agree. But the growing clamor by individual U.S. states for the shutdown of Village Voice Media's web-based advertising site, Backpage.com, is panicky, scattershot, legally suspect and potentially just as dangerous. Backpage.com is a personals website with a special "adult" section containing a wealth of listings for escort services. Like the back pages of most alternative local news weeklies, or for that matter the Yellow Pages of the phone book, the website contains ads and pictures that make no pretense about what is being offered. These are ads for prostitutes.

But the listings on
Answer: Backpage.com have raised concerns among many people, including some government officials, who believe that the website might be enabling and promoting underage sex trafficking. These officials have come together and are calling for the shutdown of the website, hoping that by closing it, they can protect young people from being taken advantage of. However, some people argue that shutting down Backpage.com might not be the best solution, as it could lead to even more dangerous situations for everyone involved. Instead, they suggest that there should be greater efforts to address the root causes of underage sex trafficking and provide support to victims.
your role is tunisian arabic dailctic derja transltor Translate the following text into the Tunisian dialect. Ensure the output is structured as 'Question: ... Answer: ...'. Please capture the nuances of the Tunisian dialectic Arabic. make sure type and write in arabic tunisian lettre Here is an example to guide you:

Question: شنو اسمك؟
Answer: اسمي جون.

Now, translate the following:

Question: I know that the answer to the question "Is the military force described considered quite large." is in "The Armed Forces are today funded by approximately $20.1 billion annually and are presently ranked 74th in size compared to the world's other armed forces by number of total personnel, and 58th in terms of active personnel, standing at a strength of roughly 68,000, plus 27,000 reservists, 5000 Rangers, and 19,000 supplementary reserves, bringing the total force to approximately 119,000. The number of primary reserve personnel is expected to go up to 30,000 by 2020, and the number of active to at least 70,000. In addition, 5000 rangers and 19,000 supplementary personnel will be serving. If this happens the total strength would be around 124,000. These individuals serve on numerous CF bases located in all regions of the country, and are governed by the Queen's Regulations and Orders and the National Defence Act.". Can you tell me what it is?
A:
Answer: Based on the information provided, the military force described can be considered quite large. With approximately 68,000 active personnel, 27,000 reservists, 5,000 Rangers, and 19,000 supplementary reserves, the total force currently stands at around 119,000. This places the armed forces at 74th in the world by total personnel and 58th for active personnel.

The expected increase in the primary reserve personnel to 30,000 by 2020, as well as the anticipated rise in active personnel to at least 70,000 makes the force even larger. If these predictions are realized, the total strength will reach around 124,000.

This military force has a significant presence across the country, serving on numerous bases in all regions. Governed by the Queen's Regulations and Orders and the National Defence Act, this large armed force is funded by approximately $20.1 billion annually.
System: You are provided with a paragraph. Your goal is to automatically identify the most relevant tasks based on the content of the paragraph and generate an example of entailment (if the task conclusion can be logically inferred from the paragraph) and a different example of non-entailment (if it is unclear or the opposite conclusion is true). 

Step 1: Read the paragraph carefully. 
Step 2: Automatically decide which tasks are relevant based on the paragraph’s content. Relevant tasks may include, but are not limited to: 
    - Topic Classification 
    - Risk Classification
    - Sentiment Classification 
    - Tone Classification
    - Event Detection 
    - Entity Recognition 
    - Geographical Recognition 
    - Trend Detection 
    - Intent Detection 
    - Sector Identification 
    - Impact Classification 
    - Tense Identification (Past, Present, Future) 
    - Uncertainty Identification 

Step 3: For each relevant task you identify, generate two clear and concise examples whose labels match common practices for the task at hand: one for entailment and one for non-entailment. The example should speak about the text at the 3rd person. 
Step 4: Output the results in the following JSON format:

{
    'relevant_tasks': [
        {
            'task': <The automatically selected relevant task>,
            'examples': [
                {
                    'input': <The entailment example based on the paragraph>,
                    'label': 'entailment',
                },
                {
                    'input': <The non-entailment example (neutral or contradiction) based on the paragraph>,
                    'label': 'non-entailment',
                }
            ]
        },
        ...
    ]
}
User: The properties we acquire may often be vacant at the time of closing, and we may acquire multiple unoccupied homes in close geographic proximity to one another. We may not be successful in locating residents to lease the individual properties that we acquire as quickly as we had expected, or at all. Even if we are able to place residents as quickly as we had expected, we may incur vacancies in the future and may not be able to re-lease those properties without longer than assumed delays, which may result in increased renovation and maintenance costs and opportunity costs from lost revenues.
Assistant:
Why is data-driven analytics of interest to companies?


It helps Data Analysts shape an analytics problem from a business problem.


It finds creative solutions to business problems without human intervention.


It gives companies the ability to make informed decisions.


It allows companies to make definitive predictions about the future.
You are a database expert and SQL optimizer. You will be given a SQL query and its rewritten variant. The rewritten query improves performance upon the original while maintaining equivalence. Your task is to create a new pair of original and rewritten queries that invoke a similar rewrite.

[ORIGINAL QUERY]```select a.ca_state state,count(*) cnt from customer_address a,customer c,store_sales s,date_dim d,item i where a.ca_address_sk = c.c_current_addr_sk and c.c_customer_sk = s.ss_customer_sk and s.ss_sold_date_sk = d.d_date_sk and s.ss_item_sk = i.i_item_sk and d.d_month_seq = (select distinct (d_month_seq) from date_dim where d_year = 2002 and d_moy = 3 ) and i.i_current_price > 1.2 * (select avg(j.i_current_price) from item j where j.i_category = i.i_category) group by a.ca_state having count(*) >= 10 order by cnt,a.ca_state limit 100;```

[REWRITTEN QUERY]```WITH avg_price AS ( SELECT i_category, AVG(i_current_price) avg_price FROM item GROUP BY i_category ), month_seq AS ( SELECT d_month_seq FROM date_dim WHERE d_year = 2002 AND d_moy = 3 LIMIT 1 ) SELECT a.ca_state state, COUNT(*) cnt FROM customer_address a JOIN customer c ON a.ca_address_sk = c.c_current_addr_sk JOIN store_sales s ON c.c_customer_sk = s.ss_customer_sk JOIN date_dim d ON s.ss_sold_date_sk = d.d_date_sk JOIN item i ON s.ss_item_sk = i.i_item_sk JOIN avg_price ap ON i.i_category = ap.i_category JOIN month_seq ms ON d.d_month_seq = ms.d_month_seq WHERE i.i_current_price > 1.2 * ap.avg_price GROUP BY a.ca_state HAVING COUNT(*) >= 10 ORDER BY cnt, a.ca_state LIMIT 100;```

Now, consider the TPC-DS schema and create a new original and equivalent rewritten query pair such that the rewrite operation is similar to the provided demonstration.Keep the following points in mind while creating the new query pair:
1. The original query must contain CTEs.
2. The original query must make use of the following fact tables: ['store_sales']. Below is the join graph for these fact tables:
    ['store_sales(ss_hdemo_sk) references household_demographics(hd_demo_sk);', 'store_sales(ss_promo_sk) references promotion(p_promo_sk);', 'store_sales(ss_item_sk) references item(i_item_sk);']
4. The original query must employ 3 joins.
5. The original query must employ the following operators in its WHERE clause: ['count'].
6. The rewritten query must be equivalent to the original query, and must follow a similar rewrite pattern as in the given example. Enclose the original and rewritten queries within ``` and ```.
EXPERIMENT NO: 1

EXPERIMENT NAME: CRYSTALLIZATION

Recrystallization of benzoic acid from water

Weigh 1g of the substance to be crystallized (benzoic acid). Put it in a 100 ml beaker and add approximately 60 ml of pure water. The mixture is heated to boiling temperature. Meanwhile, the filter paper is prepared for hot filtration by folding it as follows. The apparatus for hot filtration is set up and hot filtration is performed. Care is taken not to crystallize during hot filtration. The obtained filtrate is kept at room temperature and cooled. If crystallization does not occur, it is applied to the walls of the beaker with a baguette to ensure that crystallization begins. The crystals formed are filtered under vacuum with a suitable filter paper and a nuche erlen according to the crystal size. After the sample dries, its melting point is checked, weighed and its yield is calculated. The substance is collected and poured into the container and labeled.

I want an organic chemistry report with very detailed results, do not forget to give a reference in the report