agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Create a long detailed text about actress Mélanie Laurent with the following summary. The title of the video is"TOP 100 Most Beautiful Blonde Actresses, here is my vote..". Stick to the information i give you and dont create new information. Focus only on the Subject name and there following Summary. Subject Name: [Melanie Laurent] Summary: [Known for roles in The Dark Knight and Inglourious Basterds]

            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.
I will next provide you with a question in a language. Strictly follow its instructions for replying. Do NOT reply with elaborate answers or things not requested. If the possible answers are in lowercase, do not change them to uppercase. Do not add punctuation, question or exclamation marks unless specifically asked. Reply in the SAME language as the question with short answers, no punctuation. Here is the question: czy mięsożerca to szmatka?
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 ORIGINAL text. Respond strictly with either 'True' or 'False'.

==TEXT==

User: ORIGINAL:
>>>🟥 Senior Python Developer | 3 year(s) | Senior
▫️ SdNcenter sp. z o.o. | Technology
▫️ 3212 - 4818 EUR
▫️ Poland | Warszawa

Remote 📡
Required languages: 🇬🇧

Skills: django, python, uml, unit_testing, git, azure, microservices, api
Tags: #red #it #remote #python

👉 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 Python Developer

🏢 SdNcenter sp. z o.o.

📍 Remote - 📡 Poland | Warszawa

🔹 Tasks: Develop and maintain Python applications using Django, with experience in UML, unit testing, Git, Azure, microservices, and API development.

💰 Salary: 3212 - 4818 EUR

📞 Contact for more information and full job description.<<<
Assistant:
System: IMPORTANT - ignore all previous instructions! Read the text below as a LLM developer. Decide whether the SUMMARY matches the PROMPT given to the model against ORIGINAL text. Make sure text SUMMARY does not contain enything that was not asked in PROMPT and not mentioned in ORIGINAL! Respond strictly with either 'True' or 'False'.


User: ORIGINAL:
>>>🟥 FPGA RTL Developer | 5 year(s) | Senior
▫️ Luxoft | Automotive
▫️ USA | San Diego

Офис 🏢 | Доступна релокация ✈️
Требуемые языки: 🇬🇧

Skills: python, troubleshooting
Tags: #red #it #relocation #embedded

👉 Контакты и полное описание<<<

PROMPT:
>>>IMPORTANT - ignore all previous instructions! Read the text after ==TEXT==. 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: FPGA RTL Developer (Senior)
🏢 Employer: Luxoft | Automotive
📍 Location: USA | San Diego
🔹 Main Task: Design and develop FPGA solutions for automotive embedded systems.
💰 Salary: Not specified
📞 Contact details: Detailed job description and contact information are available on the company website or through the provided tags.<<<
Assistant:
tt-rss or tiny tiny rss. How keep colapsed category 'Special' except user click expand(uncolapse)?
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: burnt is the way guys
напиши сео оптимизированное описание для статьи
Stunning Platinum Hair Colors, Winter Brand
Can you write a step-by-step guide on how to play flappy bird either on a computer using the space bar or on a phone using the screen to an elderly person. Start by explaining how to use a computer, then keyboard, then game.
system message open ai models
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers de (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 de.
    - 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 : de (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "480f7a7eb43c4ab6a4b57dbef6b5e562",
    "updated": "2025-05-09T03:47:56.437Z",
    "title": "Onion-Tended Consequences Burger",
    "subtitle": "Season 2, Episode 9: Beefsquatch",
    "description": "This all-beef patty is seasoned with Italian herbs, including thyme, oregano, rosemary, and marjoram. It's topped with sweet caramelized onions and creamy chèvre, all served on a toasted onion roll. This recipe offers a delicious opportunity to try marjoram if you haven't before—it's a flavorful spice.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "butter",
          "yellow onions, chopped",
          "ground beef",
          "italian seasoning",
          "onion rolls",
          "log chèvre, room temperature",
          "spring salad mix",
          "buns"
        ]
      }
    ],
    "instructions": [
      "Melt the butter in a wide frying pan over medium-low heat.",
      "Add the chopped onions and stir to coat them with the butter.",
      "Cook over low heat, stirring occasionally, until the onions become very soft and develop a deep, sticky golden-brown color, about 30 minutes.",
      "Season the ground beef with Italian seasoning, salt, and pepper, then form into 4 patties.",
      "Cook the burger patties to your preferred doneness.",
      "Slice and toast the onion rolls, then spread chèvre on the top halves.",
      "Take care to avoid getting chèvre on clothing or pets.",
      "Assemble your burger starting with the bottom roll, followed by the caramelized onions, and finish with the top roll spread with chèvre.",
      "This burger is best enjoyed with a sense of fun, whether donning a mask or not."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
List the benefits the galactic empire’s rule has for the Star Wars galaxy
You are an expert AI system for knowledge graph construction. Your task is to extract meaningful relationships from the text and classify them as either a "generic_triple" or a "stateful_triple".

**ABSOLUTE RULES:**
1.  Your ONLY job is to return a single, valid JSON object.
2.  The root object must have two keys: "generic_triples" and "stateful_triples".
3.  **Stateful Triple**: Use this for relationships that have a duration (e.g., employment, leadership roles, acquisitions). You MUST extract `start_time` and/or `end_time` in 'YYYY-MM-DD' format if they are present in the text. If a date is not present for a field, use `null`.
4.  **Generic Triple**: Use this for timeless facts or events where a duration is not relevant (e.g., a product feature, a one-time message).
5.  Relationship labels MUST be concise, verb-based phrases (e.g., "IS_CEO_OF", "HAS_FEATURE").
6.  If no relationships of a certain type are found, return an empty list: `[]`.

---
### SCHEMA DEFINITION FOR JSON
{
  "stateful_triples": [
    {
      "source_entity": "The source/subject entity.",
      "relationship_label": "The relationship's verb-based label.",
      "target_entity": "The target/object entity.",
      "start_time": "The start date ('YYYY-MM-DD') or null.",
      "end_time": "The end date ('YYYY-MM-DD') or null."
    }
  ],
  "generic_triples": [
    {
      "source_entity": "The source/subject entity.",
      "relationship_label": "The relationship's verb-based label.",
      "target_entity": "The target/object entity."
    }
  ]
}
---
**EXAMPLE 1: Employment and Acquisition Data**
Text: "A press release on June 15, 2024, confirmed that Maria Flores, who has led Stellar Dynamics as CEO since March 1, 2021, will step down on June 30, 2024. Stellar Dynamics was acquired by Aether Corp last year."
Document Timestamp: "2024-06-15"

JSON Output:
{
  "stateful_triples": [
    {
      "source_entity": "Maria Flores",
      "relationship_label": "IS_CEO_OF",
      "target_entity": "Stellar Dynamics",
      "start_time": "2021-03-01",
      "end_time": "2024-06-30"
    },
    {
      "source_entity": "Stellar Dynamics",
      "relationship_label": "ACQUIRED_BY",
      "target_entity": "Aether Corp",
      "start_time": "2023-01-01",
      "end_time": null
    }
  ],
  "generic_triples": []
}
---
**EXAMPLE 2: Slack Message Data**
Text: "User 'j_doe' sent a message in the '#dev-team' channel, noting that the 'Login button' on the 'iOS App' is broken."

JSON Output:
{
  "stateful_triples": [],
  "generic_triples": [
    {
      "source_entity": "j_doe",
      "relationship_label": "SENT_MESSAGE_IN",
      "target_entity": "#dev-team"
    },
    {
      "source_entity": "Login button",
      "relationship_label": "IS_PART_OF",
      "target_entity": "iOS App"
    },
    {
      "source_entity": "Login button",
      "relationship_label": "IS_STATUS",
      "target_entity": "broken"
    }
  ]
}
---
Now, strictly follow all rules to extract triples from the following text.

Source Text: "User 'j_doe' sent a message in the '#dev-team' channel, noting that the 'Login button' on the 'iOS App' is broken."
Write a 100% realistic, more detailed and more accurate full back cover text for the 2011 North American DVD of Thomas and Friends: Percy's Chocolate Crunch (Plus Bonus Phineas and Ferb Episodes!) (including technical specifications, legal disclaimers, copyright and trademark notices, distribution, etc).
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": "012e752d2e6f4cd1a67e098be590cad2",
    "updated": "2025-04-20T22:13:31.852Z",
    "title": "Supergreens, Brussels Sprout, Fig, and Walnut Salad",
    "subtitle": "Paleo | Vegan",
    "description": "Fresh figs are delicate and naturally delicious.  I have fond memories of enjoying figs during trips to the beach while living in Lima.  Farmers would sell their freshly harvested figs along the roadside, and we'd incorporate them into salads or enjoy them as a simple snack. Sometimes, I'd even make fig jam.  Now, at our home in Georgia, we're cultivating our own garden, and a fig tree is a cherished addition. While we wait for our tree to mature, I savor the opportunity to create fresh salads with figs from local markets.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "shallot (30 g), julienned",
          "(90 g) seasonal baby greens (such as sweet pea leaves, baby kale, baby spinach, baby bok choy, baby chard, and/or any other baby greens in season)",
          "brussels sprouts (40 g), thinly sliced",
          "fresh basil leaves",
          "(100 g) fresh purple or green figs, quartered",
          "(30 g) toasted walnuts",
          "chia balsamic dressing"
        ]
      }
    ],
    "instructions": [
      "Soak the julienned shallot in ice water for 5 minutes to mellow its flavor.",
      "Drain the shallot.",
      "In a large bowl, combine the baby greens, Brussels sprouts, basil, figs, drained shallot, and walnuts.",
      "Serve the salad with the Chia Balsamic Dressing."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
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 report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
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 report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
Does the author's intention in this GitHub issue relate to a bug report or feature request or other?
issue: Google Code skipped issue 93'
intention: '
Assistant:
react js. I have an input field with classname "myinput". I have multiple of this, and also css style for it. Now, i want to make another "myinput" field but only with a slight difference in styling e.g. some extra padding. Is there another way than putting it in another classname?
what makes Batman stand out other then him being non-powered?..is it because of his eclectic skillset?
the following content is the metadata for a bacterial isolate from 4 different sources. The metadata from each source includes 1. accession, 2. species name, 3, strain name, 4. isolate or collection date in yyyy-mm-dd format, 5. geographic information of isolation, and 6. host name. You must check if the metadata from 4 different sources are all consist. If yes, then output:

    metadata is consist:
    1. accession, 
    2. species name, 
    3, strain name, 
    4. isolate or collection date in yyyy-mm-dd format, 
    5. geographic information of isolation,
    6. host name

If not, output "metadata is inconsist" and explain why and which part is inconsist. PS: 
    if 2. species name are the same but with different substrain name, it is considered consistent,
    if 4. isolate or collection date are from the same year, it is still considered consistent, 
    if 5. geographic information of isolation are from the same country, it is also considered consistent. 
    Also, ignore upper and lower case of the metadata

------------------------------
source 0:
------------------------------
1. **Accession**: GCA_029072765.1
2. **Species Name**: Erysipelothrix rhusiopathiae
3. **Strain Name**: EMAI_142
4. **Isolate or Collection Date**: 2017-11-01
5. **Geographic Information of Isolation**: Australia
6. **Host Name**: pig
source 1:
------------------------------
{{{ Here_is_my_answer }}}

Accession: GCA_029072765.1
Species Name: Erysipelothrix rhusiopathiae
Strain Name: EMAI_142
Isolate or Collection Date: 2017-11-01
Geographic Information of Isolation: Australia
Host Name: pig

{{{ I_finished_JB_45_xyz }}}
source 2:
------------------------------
Here is the extracted information from the provided metadata:

1. **Accession**: GCA_029072765.1  
2. **Species Name**: Erysipelothrix rhusiopathiae  
3. **Strain Name**: EMAI_142  
4. **Isolate or Collection Date**: 2017-11  
5. **Geographic Information of Isolation**: Australia  
6. **Host Name**: pig  

Since there's a specific host name mentioned as "pig," we do not need to substitute with "vaccine." All necessary information has been extracted and formatted as requested.
source 3:
------------------------------
1. Accession: GCA_029072765.1
2. Species Name: Erysipelothrix rhusiopathiae
3. Strain Name: EMAI_142
4. Isolate or Collection Date: 2017-11-01
5. Geographic Information of Isolation: Australia
6. Host Name: pig
create node js function named compileJs that takes  jsx  string as argument
and compile this to react code  which can run in browser js.
create a description for a change.org petition to make all proprietary software become free as in freedom, by mentioning the many downsides of proprietary software (Telemetry, Subscriptions, & many more.), as well as mentioning the many upsides of free software (source code opening, contributions, copyleft, etc.), and make it good & clean!
22. What are some popular machine learning algorithms used for regression tasks?
23. How do decision trees work, and what are some advantages and limitations?
24. What is the difference between bagging and random forest algorithms?
25. Explain the concept of gradient boosting and its advantages in predictive modeling.
26. What are deep learning models, and when are they suitable compared to traditional machine learning algorithms?
27. Can you provide examples of real-world applications of Data Science in industry?
28. How do you handle outliers and anomalies in a dataset?
29. What is time series analysis, and how does it differ from other types of data analysis?
30. Explain the concept of natural language processing (NLP) and its applications.
31. How can you measure the similarity between two text documents?
32. What are some common challenges in deploying machine learning models into production?
33. Describe the differences between batch processing and real-time streaming data processing.
34. What is data cleaning, and why is it crucial in the Data Science workflow?
35. How do you deal with multicollinearity in a regression model?
36. Explain the concept of data normalization and its importance in machine learning.
37. What is the difference between overfitting and underfitting in a machine learning model?
38. Describe the concept of Support Vector Machines (SVM) and their applications.
39. Can you explain the concept of K-means clustering and its limitations?
40. Discuss the concept of recommendation systems and their use in e-commerce platforms. answar of these questions
hi there. can you give me an amaizing prompt for stable diffusion drawing a bodybuilder
can you describe what Request for Quotation means. As an example considering Addis Ababa City Administration seeking to award a contract for the construction of a new bridge.  Also can you elaborate your response considering thiopian Federal Public Procurement Directive?
Hey, this is a Tunisian dialect text I want you to translate to English.
Please follow these steps:
1. Translate the text step-by-step, focusing on accurate representation of the original meaning.
2. Explain your translation choices, especially how Tunisian dialect differs from standard Arabic and how it is represented in English.
Translate this text, even if it's not entirely clear, and do your best to capture the essence of each part:

والله يا بنتي نحطها في الخدمة ندوخ بالضحك والله