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: 🟥 System Analyst | 3 year(s) | Middle
▫️ добывающая компания | Energy/Natural Resources
▫️ 300k - 350k RUB
▫️ Russia | Москва

Офис 🏢
Требуемые языки: 🇷🇺

Skills: software_development, technical_documentation, qa
Tags: #red #it #system_analyst

👉 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: 🟥 System Analyst  
▫️ добывающая компания  
📍 Москва  
🔍 Требуемые языки: 🇷🇺 Skills: software_development, technical_documentation, qa  
💰 300k - 350k RUB  
📞 Контакты и полное описание  
  
Assistant:
(In the main Azur Lane base…)

Fusou: “Oh! Hey, New Jersey! Still got room in the elevator?”

New Jersey: “Sure thing, Fusou! Hop in! Where are you heading?”

Fusou: “Just heading to the workshop to check in on some repairs. How about you?”

New Jersey: “I’m heading to the command center to get my next mission assignment. Always ready to serve and protect, you know?”

Bismarck: “Mind if I tag along?”

Fusou: “Not at all, Bismarck. The more the merrier. Are you also heading to the workshop?”

Bismarck: “Actually, I was thinking of grabbing a quick snack at the cafeteria first. Are you two hungry?”

New Jersey: “I could definitely go for a snack. What about you, Fusou?”

Fusou: “I could use a pick-me-up before heading to the workshop. Let’s swing by the cafeteria first.”

Queen Elizabeth: “Did someone say cafeteria? I could use a nice spot of tea. Got room for one more in the elevator?”

New Jersey: “Of course, Queen Elizabeth! The more the merrier. Let’s all head to the cafeteria for a quick snack before we head off to our respective tasks.”

Fusou: “Sounds like a plan. Let’s make it a quick stop so we can all refuel before getting back to work.”

Bismarck: “I’m looking forward to a nice snack before I head off to the workshop. Thanks for the invite, everyone.”

(As the elevator doors close, the group of battleships chat and laugh, enjoying each other’s company before tackling their responsibilities at the base. However, the elevator seems to be taking longer than normal.)

New Jersey: “Hmm, seems like the elevator is a bit slow today. Maybe we overloaded it with all of us in here.”

Fusou: “It’s okay, we’ll get there eventually. It’s nice to have some downtime and chat with you all.”

Bismarck: “Agreed, it’s always nice to catch up with everyone. Plus, a quick snack will give us the energy we need to tackle our tasks.”

Queen Elizabeth: “I do hope the cafeteria has some of my favorite tea today. Nothing beats a good cup of tea to rejuvenate me-”

(All of a sudden, Bismarck tightly grasps the railing as the elevator shakes and stops abruptly, causing the group to stumble.)

Bismarck: “What was that? Did the elevator just stop?”

New Jersey: “It seems like we’re stuck. Great, just what we needed.”

Fusou: “Don’t worry, I’m sure they’ll get it fixed soon. Let’s try to stay calm and wait for help to arrive.”

Queen Elizabeth: “I hope it’s not too long of a wait. I was looking forward to that cup of tea.”

(As the group waits in the elevator, they continue to chat and try to keep each other’s spirits up, passing the time until help arrives to get them moving again. However, after hours, help still hasn’t arrived - and each battleship’s rear ends start to slightly rumble from built-up gas.)

Queen Elizabeth: “HNGH…we’ve been stuck for hours. Sorry, but I’ve been holding this all day.”

(
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:Here are two questions (Question1 and Question2). If these questions have the same meaning and same answer, answer "Yes", otherwise "No".
Teacher: Now, understand the problem? Solve this instance: Question1: How many penalties has Cristiano Ronaldo scored this season in comparison to Lionel Messi?, Question2: Are Messi and Cristiano Ronaldo the only soccer players who can score more then 50 goals in a season in Europe? Is Neymar close?
Student:
Answer: First, let's break down the task and understand the problem:

Task: Determine if two given questions (Question1 and Question2) have the same meaning and same answer. If they do, answer "Yes", otherwise answer "No".

Now let's analyze each question:

Question1: How many penalties has Cristiano Ronaldo scored this season in comparison to Lionel Messi?
- This question is asking for a comparison of the number of penalties scored by Cristiano Ronaldo and Lionel Messi in the current season.

Question2: Are Messi and Cristiano Ronaldo the only soccer players who can score more than 50 goals in a season in Europe? Is Neymar close?
- This question is asking if Messi and Cristiano Ronaldo are the only players capable of scoring over 50 goals in a season in Europe, and it also inquires about Neymar's potential to achieve a similar feat.

Now it's time to compare the questions and solve the problem:

Comparing the two questions, we can see that they are asking about different topics:

- Question1 is about the number of penalties scored by Cristiano Ronaldo and Lionel Messi during the current season.
- Question2 is about whether Messi and Cristiano Ronaldo are the only players capable of scoring over 50 goals in a season in Europe and Neymar's potential.

Since the questions are not about the same topic and do not have the same answer, the correct response is:

Student: No
the following content is the metadata for a bacterial isolate from 2 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 need to extract and output consist information below without explaining how to get such results:
---------------------------------------------------------------------------------------------------------------------------------------------------------------------
    <output>
        accession number: xxxx->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->vaccine: yes/no
    <output/>
----------------------------------------------------------------------------------------------------------------------------------------------------------------------

where xxxx is corresponding information from different sources. If xxxx from these 2 different sources are inconsistent, then, xxxx must be "inconsistent". If the metadata from all resource shows this isolate is vaccine, the value for "vaccine:" is "yes", otherwise, "no". 


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:
------------------------------
```
accession number        species name    strain name     isolate or collection date in yyyy-mm-dd format geographic information of islateion     host name       mlsty type      serotype
GCA_029074355.1 Erysipelothrix rhusiopathiae    EMAI_57 N/A     Australia       pig     73      N/A
```
source 1:
------------------------------
Here's the extracted information from the JSON data:

1. **Accession:** GCA_029074355.1
2. **Species Name:** Erysipelothrix rhusiopathiae
3. **Strain Name:** EMAI_57
4. **Isolate or Collection Date:** N/A 
5. **Geographic Information of Isolation:** N/A
6. **Host Name:** pig
How do I best integrate a newborn female kitten into a household with two adult male cats?
Explain author’s authority in terms of superpower
Generate an image creation prompt specifically optimized for the Flux Schnell model. The prompt should vividly describe the scene or concept expressed by the following sentence: 'An intersection of love, lust, and lethal politics, this scandal reshaped the course of French history.'. Include details on style, mood, composition, and any specific visual elements necessary for accurate rendering.
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": "33d51c1876fc4b64bc5d11eda1a4049c",
    "updated": "2025-04-21T21:39:53.222Z",
    "title": "Homemade Chicken Stock",
    "subtitle": "",
    "description": "",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "combination of chicken backs, wings, and bone-in thighs",
          "yellow onions, chopped coarsely, skins left on",
          "carrots, cut into chunks",
          "celery stalk, cut into chunks",
          "fresh thyme",
          "bay leaf",
          "lemon",
          "whole peppercorns",
          "cold water"
        ]
      }
    ],
    "instructions": [
      "1. Begin by soaking the chicken wings and backs in a bowl of cold water for approximately one hour. This pre-soaking process helps to draw out impurities and will result in a cleaner, more translucent stock.",
      "2. After soaking, drain the water and rinse the chicken pieces. Transfer the chicken to a large, heavy-bottomed stockpot.",
      "3. Add the remaining ingredients to the stockpot. Bring the mixture to a rolling boil, then reduce the heat to a gentle simmer. Partially cover the pot and let it simmer for 2-3 hours, skimming off any foam or impurities that rise to the surface.",
      "4. Once simmered, strain the stock through a fine-mesh sieve or a chinois. Ensure all the liquid is extracted from the solids by pressing gently.  Taste the resulting stock and adjust seasoning as needed.",
      "5. Refrigerate the stock overnight to allow the fat to solidify on the surface.  Remove and discard the solidified fat.  Portion the chicken stock into quart-sized containers, label them clearly, and freeze for up to 3 months. Thaw the stock in the refrigerator before reheating and using."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
(As I walked to the clubroom, I couldn’t believe what happened yesterday. MC, my childhood friend, had died. The news hit me like a ton of bricks. And as I entered the clubroom, I could see Monika and Himari discussing something. Kotonhoa was also there, and was moving a strange pool - it was round and pink. Yuri was there, too - she was filling the pool with warm water. I was confused as to what they were doing, but was even more confused as to where Natsuki was.)

Yuri: “And…that should be everything!”

Monika: “Great job, Yuri. I’ll set up the decorations now.”

Himari: “I’m so excited for this pool party! It’s going to be so much fun!”

Kotonoha: “I hope everyone likes my special punch!”

(I cleared my throat to let them know I was there.)

Sayori: (trying to keep my voice steady) “Hey guys.”

(They all turned to look at me with sad expressions.)

Monika: “Sayori, how are you holding up?”

Sayori: “I’m…not doing well. MC’s death is still a really hard pill to swallow.”

Yuri: “We understand, Sayori. We’re all grieving. But we thought it might be good to distract ourselves with a pool party.”

Himari: “Yeah! We’ll have food, drinks, music, and swimming! It’ll be a blast!”

Kotonoha: “And don’t forget my special punch! It’s delicious!”

Sayori: (forcing a smile) “That sounds like a lot of fun. But…I’m not sure I’m in the mood to party.”

Monika: “We understand, Sayori. But please, try to have some fun. It’s what MC would have wanted.”

Sayori: (nodding slowly) “Yeah…you’re right. MC was always the life of the party. He wouldn’t want us moping around.”

Himari: “That’s the spirit! Now, let’s get this party started!”

Yuri: “Hold on. Does anybody else notice a lack of somebody?”

Kotonoha: “You’re right, Yuri. Where’s Natsuki?”

Monika: “I haven’t seen her all day. Has anyone tried contacting her?”

Sayori: “I texted her earlier, but she hasn’t replied.”

Himari: “I hope she’s okay.”

(Just then, Natsuki burst into the room - and immediately got into the pool, putting a hand on her belly. I was thoroughly confused as to why.)

Natsuki: (panting) “Sorry guys, I’m late. I just had to take care of something important.”

Monika: “Natsuki, are you okay? You look exhausted.”

Natsuki: “I’m fine. Just a little tired.”

Yuri: “And why are you in the pool already?”

Natsuki: (looking down at her belly) “Oh this? I just wanted to cool off. It’s been really hot today.”

Kotonoha: “Natsuki, are you sure you’re okay? You seem a bit…different.”

Natsuki: (smiling) “I’m fine, Kotonoha. Just 5 months pregnant, that’s all.”

(There was a moment of stunned silence as we all processed Natsuki’s announcement. Finally, Monika spoke up.)

Monika: “Natsuki, why didn’t you tell us sooner? We would have been here to support you!”

Natsuki: “I…I didn’t know how. And I didn’t want to burden anyone else with my problems.”

Himari: “Natsuki, you’re not a burden. We’re your friends, and we care about you.”

Yuri: “We should have a gender reveal for you, Natsuki!”

Natsuki: “I don’t really feel comfortable with having a gender reveal, Yuri…”
average ram in computers 1998
hello what arew you?
System: You are an API parameter validator. Generate parameters strictly according to the API specification. Only use parameters defined in required_parameters and optional_parameters. Return an empty dict if no parameters are required and optional parameters are not needed.
User: Review API details:
https://api.jaxing.cc/v2/Tcping (GET)
Required: [{'name': 'host', 'type': 'string', 'description': '需要检查的主机名或IP地址', 'default': 'www.example.com'}, {'name': 'port', 'type': 'int', 'description': '需要检查的端口号', 'default': 80}]
Optional: []
Past tests: Initial Attempt 1:
Parameters: {'host': '192.168.1.1', 'port': 8080}
Result: Success
Analysis: Success - parameters worked well

Initial Attempt 2:
Parameters: {'host': 'example.com', 'port': 443}
Result: Success
Analysis: Success - parameters worked well

Recent Attempt 3:
Parameters: {'host': 'www.testsite.com', 'port': 3000}
Result: Success
Analysis: Success - parameters worked well

Recent Attempt 4:
Parameters: {'host': 'localhost', 'port': 5000}
Result: Success
Analysis: Success - parameters worked well

Recent Attempt 5:
Parameters: {'host': 'api.openai.com', 'port': 8081}
Result: Success
Analysis: Success - parameters worked well

Used parameters: - {'host': '192.168.1.1', 'port': '8080'}
- {'host': 'www.testsite.com', 'port': '3000'}
- {'host': 'example.com', 'port': '443'}
- {'host': 'api.openai.com', 'port': '8081'}
- {'host': 'localhost', 'port': '5000'}

Generate new parameters that are different from all previous attempts.
Assistant:
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: side effects are identified during the development of our product candidates, marketing approval may be delayed or we may need to abandon None
Assistant:
Let me create a sophisticated and modern logo prompt for the Coalition for American Production (CAP):

"Create a refined, contemporary logo that embodies American production excellence:

CORE CONCEPT:
Design a dynamic emblem where a stylized eagle's wing transforms into ascending geometric steps/levels, suggesting growth and upward momentum. The negative space between the steps subtly forms a star, creating a clever dual-meaning design that represents both the American spirit and industrial progression.

PRIMARY ELEMENTS:
- An abstract eagle wing composed of clean, angular lines
- Geometric ascending steps that mirror production growth
- A modernized star formed in negative space
- 'CAP' in bold, architectural letters
- 'COALITION FOR AMERICAN PRODUCTION' in refined typography

COLOR PALETTE:
- Navy Blue (#002868) - representing strength and professionalism
- Modern Red (#BF0A30) - symbolizing energy and innovation
- Platinum Silver (#E5E4E2) - adding sophistication
- Pure White (#FFFFFF) - for clarity and balance

DESIGN APPROACH:
- Clean, minimalist interpretation of patriotic elements
- Sharp, precise angles balanced with subtle curves
- Professional yet progressive aesthetic
- Strong emphasis on negative space usage
- Geometric patterns suggesting both film strips and industrial progress

TYPOGRAPHY:
- Primary: Custom-modified geometric sans-serif for 'CAP'
- Secondary: Refined condensed font for organization's full name
- Letter spacing optimized for various sizes

The design should evoke American excellence while maintaining a contemporary, sophisticated appeal that works across all applications - from formal documents to digital platforms.

Would you like me to elaborate on any specific aspect or explore additional design directions?"
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:

جامعة وديعة وجريئة و عنصرية "الوصافة" تعبير إستعبادي المقصود به في القدم " الخدم والجواري والغلمان " " العبيد باختصار "
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": "0bca73f6217f494b9dc4cb9dcf7ca216",
    "updated": "2025-04-25T22:18:31.927Z",
    "title": "Pasta Carbonara",
    "subtitle": "A classic Roman pasta dish, quick and delicious.",
    "description": "Carbonara is a beloved Roman dish known for its simplicity and rich flavor.  Properly cooking the pasta is key: avoid overcooking initially, as it will continue cooking with the sauce.  The goal is a creamy sauce, not scrambled eggs, so ensure the egg mixture cooks gently, clinging to the hot pasta.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "low sodium bacon",
          "(340 g) pasta",
          "eggs",
          "(30 ml) skim milk",
          "(10 g) parmesan cheese, grated",
          "(8 g) fresh parsley, chopped",
          "black pepper",
          "ground nutmeg"
        ]
      }
    ],
    "instructions": [
      "Dice the bacon into 1-inch (2.5-cm) pieces and cook in a large skillet, one that can accommodate both the pasta and the sauce later.",
      "Cook the pasta according to the package directions, being careful not to overcook.",
      "In a mixing bowl, whisk together the eggs, milk, Parmesan cheese, pepper, and nutmeg.",
      "Once the pasta is cooked, drain it and add it directly to the skillet with the bacon.",
      "Reduce the heat to very low and pour in the egg-cheese mixture. Stir constantly for a few minutes until the eggs are cooked through and create a creamy coating on the pasta."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]