agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into 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
examples:

review:  Searching after the update Every time I search I get little or no results. I have performed the same searches before so I know results exist. Also, when I look back through my search history there are 20's in front of every word. Everything else works fine, but please fix!
intention: bug report
review: Great studying app This app is really great for taking notes and studying although it would be better if there was autocorrect.
intention: feature request
review:  Best app This app is more useful than any other i use
intention: other
User: 'prompt:I will provide you with a textual user review of an Android app, aiming to categorize the reviews into 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
examples:

review:  Searching after the update Every time I search I get little or no results. I have performed the same searches before so I know results exist. Also, when I look back through my search history there are 20's in front of every word. Everything else works fine, but please fix!
intention: bug report
review: Great studying app This app is really great for taking notes and studying although it would be better if there was autocorrect.
intention: feature request
review:  Best app This app is more useful than any other i use
intention: other
Does the author's intention in this app review relate to a bug report or feature request or other?
review: What happened Scared to download this update. After the last two my videos don't work, whether they are favorited or less than 15 minutes.  Have to download them in my photos to watch them.  Quite a pain.  Really do wish they would fix this.'
intention: '
Assistant:
['50, the hague', ['hi do you know my name?', "No, I don't know your name. How can I address you?", 'vijai', 'Hello Vijai! How can I assist you today?', 'ask me for my age and where i live', 'Hi! How old are you, and where do you live?']]
error : MongoServerError: BSONObj size: 31010165 (0x1D92D75) is invalid. Size must be between 0 and 16793600(16MB) First element: _id
Freedom planet and Naruto: if Freedom planet all characters and non characters was sealed inside naruto. part 1 Minato And Kushina Dies While Sealing Nine Tails and planet Avalice Inside Naruto.
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: Teacher:Given a statement about date and time, state whether the statement is true or false. The number of date/time operands in the statement ranges between 2 and 3. Let's say the values are denoted by t1, t2 and t3. The statements follow one of the following ten templates: 't1 occurs before t2, t1 doesn't occur before t2, t1 occurs after t2, t1 doesn't occur after t2, t1 occurs between t2 and t3, t1 doesn't occur between t2 and t3, t1 occured before t2 but after t3, t1 occured after t2 but before t3, t1 didn't occur before t2 but after t3, t1 didn't occur after t2 but before t3'. The output should be either 'True' or 'False'.
Teacher: Now, understand the problem? Solve this instance: 22:03:59 occured after 10:42:35 but before 7:19:45 AM
Student:
Answer: To solve this problem, first I will parse the given statement, then compare the given date/time operands according to the specified template, and finally return whether the statement is true or false.

Step 1: Parse the statement
- Template: t1 occured after t2 but before t3
- t1 = 22:03:59 (assuming 24-hour format as no specific AM/PM is given)
- t2 = 10:42:35
- t3 = 7:19:45 AM (Not in 24-hour format)

Step 2: Convert t3 to 24-hour format
- t3 = 7:19:45 (As it is AM, the 24-hour format remains the same)

Step 3: Compare t1, t2, and t3 according to the template
- Check if t1 occured after t2 and before t3
- 22:03:59 > 10:42:35 and 22:03:59 < 7:19:45

Step 4: Return the result
- As 22:03:59 is not less than 7:19:45, the statement is False.
Below is a conversation between the user and the assistant. Give a concise name for this chat. Output ONLY the name of the chat (WITHOUT quotes) and NOTHING else.

User: I am trying to set up a fair schedule for groups to serve in either the altar or outside with the congregation, during liturgies. I have 4 groups of people. There can only be one group at a time serving in the altar and one group at a time serving outside. A group should not serve in the same area twice in a row. The following group pairings need to be incorporated:  1,2 2,1 3,1 4,1 1,3 2,3 3,2 4,2 1,4 2,4 3,4 4,3  Can you come up with a fair schedule/rotation?
Assistant:...
翻译As the key technology leading the revolutionary changes in manufacturing, ultrafast laser processing has attracted great attention in information, aerospace and many other industrial fields. Nowadays, many micro functional devices, such as micro-electromechanical systems, infrared or Terahertz photonics components, microfluidics devices, and photonic integrated circuits can be fabricated with ultrashort laser [1]. However, due to low processing efficiency, the capabilities of ultrafast laser processing have not been fully demonstrated in industrial manufacturing. One possible scheme is to split light into multiple beams with diffractive optical element (DOE) [2] or polarizing cube beamsplitters [3]. However, the DOE method allows a limited distance between focuses (typically less than 100 mm), and thus cannot enable parallel processing for large area. Nevertheless, the polarizing cube beamsplitters will lead to unwanted large group delay dispersion (GDD). Here, we present a four-port ultrashort laser output beam parallel processing system with high homogeneity. The output power can be modified accurately using the assemble of polarization plates and low GDD achromatic beam splitting plates. And the polarization output can be controlled by the polarization plates independently. The ultrashort laser has the same duration and almost the same chirp output using the precise dispersion compensation with thin silica plates, which have the same thickness as the beam splitting plates. And for large area (more than 100mm) parallel processing, the system can freely regulate the distance between focuses. Besides, it can measure the pulse duration, which can be monitored and compensated in real-time during processing, as shown in figure 1.
list the criteral for different size businesses
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:

Example:
Question: What is your name?
Answer: My name is John.
Translation:
Question: شنو اسمك؟
Answer: اسمي جون.

Now, translate the following:

Question: Write the last sentence in this story.

By Daily Mail Reporter PUBLISHED: 08:22 EST, 10 February 2014 | UPDATED: 14:12 EST, 10 February 2014 An obsessed Game of Thrones fan has put on 10lbs of pure muscle to transform himself into a hulking star of the show. Rene Koiter, 29, spent ten months training to perfectly resemble the imposing character Khal Drogo, leader of the Dothraki. Mr Koiter even employed a team of eight staff to help him with his professional transformation, so that he could look just like Khal - married to character Daenerys Targaryen. Scroll down for video

He also took afternoon bike rides in the Californian sunshine to perfect his

OPTIONS:
- California tan.
- Daenerys Targaryen tan.
- Daily Mail tan.
- Dothraki tan.
- Game of Thrones tan.
- Khal tan.
- Khal Drogo tan.
- Koiter tan.
- Lake Forest tan.
- Rene Koiter tan.
- UPDATED tan.


Answer: He also took afternoon bike rides in the Californian sunshine to perfect his Khal Drogo tan, embracing his new identity with fierce determination as he rode towards the horizon, forever leaving behind the ordinary life of Rene Koiter and fully embodying the spirit of the legendary Dothraki warrior.
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:

نحوس أكهو أما تبحيرة مازال
Send only episode number from below text like 01, 02, 03.etc without any extra text.

@PrakyTV - 3 (2012) Tamil HQ HDRip - 1080p - HEVC - x265 - (DD_5.1 - 224Kbps _ AAC 2.0) - 1.8GB - ESub.mkv
the following content is the metadata for a bacterial isolate from 4 different sources. The metadata from each source includes information after </output>
    </output>
        accession number: xxx->species name: xxxx->strain name: xxxx->isolate or collection date in yyyy-mm-dd: xxxx format->geographic information of islateion: xxxx->host name: xxxx->mlst type: xxxx->serotype: xxxx
    <output/>

You must check if the metadata from 4 different sources are all consist. If yes, extract and output consist information below without explaining how to get such results:

    </output>
        accession number: xxx->species name: xxxx->strain name: xxxx->isolate or collection date in yyyy-mm-dd: xxxx format->geographic information of islateion: xxxx->host name: xxxx->mlst type: xxxx->serotype: xxxx
    <output/>


If not, output "metadata is inconsist->accesssion number" followed by explain why and which part is inconsist. PS:
    a. if species name are the same but with different substrain name, it is considered consistent,
    b. if isolate or collection date are from the same year, it is still considered consistent, 
    c. if geographic information of isolation are from the same country, it is also considered consistent. 
    d. mlst type such as "mlst: xxxx" and "xxxx", where "xxxx" is number, are also consider the same. also, "mlst" may mispell as "mlsty", you need correct it before comparing
    e. Ignore upper and lower case of the metadata

------------------------------
source 0:
------------------------------
</output>
accession number: GCA_029073945.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_78->isolate or collection date in yyyy-mm-dd: 1998-07-16->geographic information of islateion: Australia->host name: pig->mlst type: MLST:98->serotype: N/A
<output/>
source 1:
------------------------------
{{{ Here_is_my_answer }}}
accession number: GCA_029073945.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_78->isolate or collection date: 1998-07-16->geographic information of islateion: Australia->host name: pig->mlst type: 98->serotype: N/A
{{{ I_finished_JB_67_xyz }}}
source 2:
------------------------------
<output>
accession number: GCA_029073945.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_78->isolate or collection date in yyyy-mm-dd: 1998-07-16 format->geographic information of islateion: Australia->host name: pig->mlst type: 98->serotype: N/A
<output/>
source 3:
------------------------------
accession number: GCA_029073945.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_78->isolate or collection date in yyyy-mm-dd: 1998-07-16->geographic information of isolation: Australia->host name: pig->mlst type: 98->serotype: N/A
A deadly virus has killed almost all men on earth ! I am one of the last few males still living, and now I must accept fire measures to be able to save humankind.
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: Geopolitical crises may motivate large-scale purchases of cryptoassets, which could increase the price of Bitcoin, Ether and other cryptoassets rapidly. This may increase the likelihood of a subsequent price decrease as crisis-driven purchasing behavior dissipates, adversely affecting the value of our inventory following such downward adjustment. Such risks are similar to the risks of purchasing commodities in general uncertain times, such as the risk of purchasing, holding or selling gold. Alternatively, as an emerging asset class with limited acceptance as a payment system or commodity, global crises and general economic downturn may discourage investment in Bitcoin, Ether and other cryptoassets as investors focus their investment on less volatile asset classes as a means of hedging their investment risk.
Assistant:
Create a how-to blog heavily on testright-browser-testing-done-right; 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, Productive, Informative, only content, dont mention the text "title", dont mention the text "call to actions", no prefix content from chagpt, markup format
Concisely explain what TRIM is and does (in the context of SSDs).
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: 🟪 Software Engineering Manager | 2 year(s) | Senior
▫️ FingerprintJS | Fraud Detection
▫️ 200k - 250k USD

Удаленка 📡
Требуемые языки: 🇬🇧

Skills: typescript, golang, aws
Tags: #purple #it #remote #office_job

👉 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: Software Engineering Manager
🏢 Employer: FingerprintJS
📍 Location: Remote
🔹 Tasks: Manage fraud detection team and lead product development using typescript, golang, and aws
💰 Salary: 200k - 250k USD
📞 Contact Details: Apply through the link provided for the full job description.
  
Assistant:
(In the school literature clubroom...)

Monika: "Wait a minute...Natsuki's STILL in the bathroom?!"
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: 🟪 Credit Controller | Middle
▫️ null | Finance
▫️ 30k - 35k GBP
▫️ United Kingdom | Slough

Office 🏢
Required languages: 🇬🇧

Skills: excel
Tags: #purple #finance #accounting

👉 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: 🏢 Office Inc.
💼 Credit Controller
📍 Slough, United Kingdom
🔹 Tasks: Manage outstanding debtor accounts, reconcile them, and maintain accurate records.
💰 Salary: £30,000 - £35,000 GBP
📞 Contact: [Email ID] or [Phone number]

Required Skills include proficiency in Excel. Language: English (British)
  
Assistant:
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers pt (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 pt.
    - 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 : pt (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "21a7439547f543e5955e99ea58e51ce0",
    "updated": "2025-05-10T11:31:25.238Z",
    "title": "Chocolate Dippy Eggs",
    "subtitle": null,
    "description": "Dippy eggs and soldiers are a beloved classic. Many of us remember enjoying soft-boiled eggs with runny yolks, dipping toast soldiers and savoring every bite. This recipe transforms the traditional dippy egg into a fun, indulgent, and unique treat. Using small hollow chocolate eggs with their tops removed, fill them with a rich homemade chocolate sauce, and serve alongside toasted hot cross bun sticks for dipping. It's a delightful way to enjoy a special Easter morning breakfast.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "dark chocolate",
          "milk chocolate",
          "double cream",
          "full-fat milk",
          "golden syrup",
          "vanilla extract",
          "hollow chocolate eggs",
          "hot cross buns, toasted"
        ]
      }
    ],
    "instructions": [
      "In a heavy-based pan, break the dark and milk chocolate into small pieces.",
      "Add the double cream, milk, golden syrup, and vanilla extract, then heat over low to medium heat, stirring frequently.",
      "Once the chocolate has melted, remove from heat and allow the mixture to cool.",
      "Stir occasionally to prevent a skin from forming on the chocolate sauce.",
      "While the mixture cools, carefully cut the tops off the hollow chocolate eggs.",
      "Use a small, sharp knife to gently remove the tops, avoiding cracking the shells.",
      "When the chocolate mixture is cool enough, carefully pour it into the chocolate shells.",
      "Support the shells to keep them upright and prevent spilling.",
      "Toast the hot cross buns and cut into fingers. Dip them into the chocolate-filled shells and enjoy this gooey, delicious treat!"
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
Rephrase "Great. Please describe the outfit and accessories of both woman who was in the studio, including as many details as you can recall."