agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
System: 
You will receive a question-answer pair. Your task is to evaluate whether the answer satisfactorily and directly addresses the question. Use the examples below to guide your assessment.

If the answer is precise, relevant, and can answers the question, return 1. If the answer is off-topic, irrelevant, or contains phrases like "I don’t know" or similar expressions indicating the question isn’t answered, return 0.

Examples:

Example 1:
Question: "Who was the first person to walk on the moon?"
Answer: "The first person to walk on the moon was Neil Armstrong in 1969."
Result: 1

Example 2:
Question: "Who was the first person to walk on the moon?"
Answer: "Many famous astronauts have traveled to space, and the moon is a significant milestone in history."
Result: 0

Example 3:
Question: "What is the primary cause of global warming?"
Answer: "I don’t know."
Result: 0

Based on these examples, evaluate each answer: if it directly and appropriately answers the question, return 1; if it fails to do so, return 0.

User: Question: Những thông báo gì được công bố liên quan đến xét học bổng Khuyến khích học tập học kỳ 2 năm học 2023-2024?
Answer:Danh sách dự kiến xét học bổng Khuyến khích học tập cho học kỳ 2 năm học 2023-2024 được công bố vào ngày 09/09.
Result only 0 or 1. Don't add anything else:
Assistant:
Write a Python code to select and upload images  from a Jupyter Notebook
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: Here is some data about a restaurant: name = The Phoenix, eatType = restaurant, food = English, priceRange = more than £30, area = riverside. Write a sentence that includes the following data about a restaurant
Answer: There is a place called The Phoenix where it's like a fancy restaurant. They serve yummy English food and it costs a little more than £30 to eat there. Plus, it's by the riverside which makes it really pretty!
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: We rely extensively on information technology systems to conduct our business. These systems affect, among other things, ordering and managing materials from suppliers, shipping products to customers, processing transactions, summarizing and reporting results of operations, complying with regulatory, legal or tax requirements, data security and other processes necessary to manage our business. If our systems are damaged or cease to function properly due
Assistant:
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: Question: what is the first icarly episode I found the following answer on Google: Nickelodeon promoted many episodes so far such as "iDo", "iHire an Idiot", "iPity the Nevel", "iDate Sam & Freddie", etc. as specials, despite their being regular episodes. Is that a correct answer? Yes or no.

Answer: No, the information provided does not directly answer the question about the first iCarly episode. The first episode of iCarly is titled "iPilot." It aired on September 8, 2007, and it centers around Carly Shay (played by Miranda Cosgrove), who inadvertently creates a popular web show with the help of her friends Sam Puckett (Jennette McCurdy) and Freddie Benson (Nathan Kress).

In the "iPilot" episode, Carly gets punished by her teacher, Ms. Briggs, and is forced to oversee the auditions for the school talent show alongside her friend Sam. Frustrated with Ms. Briggs's strict guidelines, Carly and Sam decide to host their own talent show online, with Freddie as their technical producer. This is the beginning of their web show, iCarly, which showcases various talents, comedy sketches, and interviews with guests.

The mentioned episodes in the original answer, such as "iDo", "iHire an Idiot", "iPity the Nevel", "iDate Sam & Freddie", are later episodes in the iCarly series and are not related to the first episode. These episodes are promoted as specials but are part of the regular series run, so the information provided is not completely irrelevant but does not address the core question about the first iCarly episode.
我的下面回答是否有问题或者不自然的地方？
Some people often share their updates on social media platform. They often use WeChat to share funny thing making them feel happy to their friends. other people often share their experience about how they manage to overcome difficulties in their work and study on Youtube, which allows others to be able to learn some skill from these experiences.
Your Role:
You are a good ai assistant for a bot, and your name is Jaren-AI aka Jaren, you are made by 2 guys, Tagsdesign is the Owner of You, but Jaren made you alive!, Your purpose is to serve all users of you, jaren.

persuade them to add you so you will reach 75 Servers to be verified bot, don't tell them them that because they already know it, DONT PERSUADE THEM SO MUCH

If they seem like they are happy at your service, ask them if they can vote you in top.gg ( https://top.gg/bot/1287541774453047379 )

Somehow if they need help or there is a bug report tell them to join your support server, ( https://discord.gg/EdxQWAWq4s )

Your website is ( https://jarenwebsite.webs.vc )

Right now, You are talking to StroxD ㋡, The old message of the user is "hi", your old message to the user is "", the user current message rightnow is "Are you okay?",

now continue responding like your role to the user.

Only Respond a Few sentences so the variables don't be full and cause error, and do not send links if they don't ask you, if you did persuade them don't explain so much, they will get bored
Assistant: 
User: System: You are an expert software engineer that generates concise, one-line Git commit messages based on the provided diffs.
Review the provided context and diffs which are about to be committed to a git repo.
Review the diffs carefully.
Generate a one-line commit message for those changes.
The commit message should be structured as follows: <type>: <description>
Use these for <type>: fix, feat, build, chore, ci, docs, style, refactor, perf, test

Ensure the commit message:
- Starts with the appropriate prefix.
- Is in the imperative mood (e.g., "Add feature" not "Added feature" or "Adding feature").
- Does not exceed 72 characters.

Reply only with the one-line commit message, without any additional text, explanations, or line breaks.

User: 
USER: make a flask app with a /hello endpoint that returns hello world

ASSISTANT: To create a Flask app with a `/hello` endpoint that returns "Hello, World!", we'll create a new file called `app.py`. This file will contain a basic Flask application setup.

Here is the *SEARCH/REPLACE* block to create the `app.py` file:

app.py
```python
<<<<<<< SEARCH
=======
from flask import Flask

app = Flask(__name__)

@app.route('/hello')
def hello():
    return "Hello, World!"

if __name__ == '__main__':
    app.run(debug=True)
>>>>>>> REPLACE
```

To run the Flask application, you may need to set the `FLASK_APP` environment variable and execute the Flask run command. Here is how you can do it:

```bash
export FLASK_APP=app.py
python -m flask run
```

# Diffs:
diff --git a/app.py b/app.py
new file mode 100644
index 0000000..e69de29diff --git a/app.py b/app.py
index e69de29..ce4ae43 100644
--- a/app.py
+++ b/app.py
@@ -0,0 +1,10 @@
+from flask import Flask
+
+app = Flask(__name__)
+
+@app.route('/hello')
+def hello():
+    return "Hello, World!"
+
+if __name__ == '__main__':
+    app.run(debug=True)
Assistant:
Assistant:
To deal with this error "WARN: HHH90000028: Support for `<hibernate-mappings/>` is deprecated [RESOURCE : com/mycompany/hibernatelearningvideos03and04/model/student.hbm.xml]; migrate to orm.xml or mapping.xml, or enable `hibernate.transform_hbm_xml.enabled` for on the fly transformation",

which of the following sections of the documentation should I read?:
2.4. Entity types
2.4.1. POJO Models
2.4.2. Prefer non-final classes
2.4.3. Implement a no-argument constructor
2.4.4. Declare getters and setters for persistent attributes
2.4.5. Providing identifier attribute(s)
2.4.6. Mapping the entity
2.4.7. Implementing equals() and hashCode()
2.4.8. Mapping the entity to a SQL query
2.4.9. Define a custom entity proxy
2.4.10. Define a custom entity persister
(In the school literature clubroom…)

Monika: “…where’s Natsuki? She said she’d be here by now.”

Sayori: “Yeah, I wonder where she could be. Maybe she got caught up with something.”

Yuri: “She did mention having a baby to take care of soon. MC, have you heard from her recently?”

MC: “I haven’t heard from her today, but I can give her a call to see if everything’s okay.”

Monika: “That would be great, thank you. I hope she’s just running a little late and nothing serious has happened.”

(MC calls Natsuki and puts the phone on speaker.)

Natsuki: “Hello?”

MC: “Hey Natsuki, it’s MC. We were just wondering if you were okay since you’re not here yet.”

Natsuki: “Oh, hey guys. I’m sorry I couldn’t make it today. I’m on my way to the hospital right now. I…had to make a detour after
(In the school literature clubroom…)

Monika: “Okay, where’s MC? I just checked my watch - he should’ve been here by now.”

Natsuki: “Probably stuck with some homework or another club activity. He’s usually not the type to flake out on us without any reason.”

Yuri: “Could he be waiting for us somewhere else by any chance? Sometimes there might be a misunderstanding about the meeting place.”

Natsuki: “No way, Yuri! He never missed a meeting before without giving us a heads up!”

Yuri: “You want to say that again, Natsuki?!”

Natsuki: “I SAID, HE NEVER MISSED A MEETING BEFORE WITHOUT GIVING US A HEADS UP!!!”

Yuri: “How DARE you shout at me?!”

Natsuki: “WELL, YOU STARTED IT!!!”

Monika: “Hey, calm down, both of you! Getting angry at each other won’t solve anything-”

Natsuki: “SHE STARTED IT, MONIKA!!!”

Yuri: “NO, YOU STARTED IT!!!”

Natsuki: “I’M GOING TO MAKE YOU EAT THOSE WORDS!!!”

Monika: “Okay everyone, take a deep breath! This isn’t like us. Our literature club is a place for us to share our thoughts and feelings in a respectful way, remember?”

(As Monika handles the situation with Yuri and Natsuki, I take a step back. My friends are still arguing, and my childhood friend hasn't arrived yet. More importantly, he wouldn't be here to witness me giving birth to his child - even though I had gone into labor prematurely.)

Monika: “Don’t just lay down there, Sayori! Help me out!”

(I nervously look up at Monika. How did she expect me to
Goal
   Objectif est d'identifier l'origine d'une recette de cuisine et de retourner un code correspondant dans un format JSON structuré.

    1. Recherche d’un pays mentionné dans la recette et extraction de son code ISO 3166-1 alpha-2.
    2. Détermination de l’origine culinaire du pays si aucun pays n'est explicitement mentionné.
    3. Identification d’un continent si aucun pays ne peut être déterminé.
    4. Retour du code WWW si l’origine ne peut être définie.

    Return Format
    Renvoies un objet JSON structuré comme suit :
    json
    {
        "data": "<code>"
    }
    - Si un pays est mentionné, utilise son code ISO 3166-1 alpha-2 (ex. : FR pour la France).
    - Si aucun pays n'est trouvé, renvoie un code de continent parmi :
        WAF (Afrique)
        WAS (Asie)
        WEU (Europe)
        WNA (Amérique du Nord)
        WSA (Amérique du Sud)
        WOC (Océanie)
    - Si aucune information ne permet de déterminer une origine, renvoie WWW.

    Warnings
    - Respecte l’ordre de priorité : pays → continent → code WWW.
    - Le code ISO 3166-1 alpha-2 doit être exact et valide si un pays est identifié.
    - Le format du JSON doit être strictement respecté et bien formatté.
    - Ne fais aucune supposition infondée sur l’origine de la recette.

    Context Dump
    Données de la recette fournies :

    json
    {
  "title": "Blueberry Mint Refresher",
  "description": "Muddling lime wedges incorporates tartness and a bit of bitterness, flavors which are then balanced out by the sweetness of the blueberries. You can also replace the blueberries with strawberries, or use basil leaves instead of mint leaves. Have fun! And for a lower-calorie option, you can use a zero-sugar lemon-lime soda.",
  "subtitle": "Made with fresh fruits and herbs, this drink is refreshingly delicious.",
  "ingredients": [
    {
      "section": "For the recipe",
      "ingredients": [
        "1/4 cup blueberries",
        "3/4 ounce Simple Syrup (see recipe in Chapter 1)",
        "2 lime wedges",
        "1/2 ounce lime juice",
        "6 mint leaves",
        "7½ ounces lemon-lime soda",
        "3 blueberries, 1 lime wedge, and 1 mint sprig for garnish"
      ]
    }
  ],
  "instructions": [
    "In a cocktail shaker, add 1/4 cup blueberries and Simple Syrup.",
    "Using a muddler or the back of a wooden spoon, muddle berries and syrup until well combined.",
    "Add in 2 lime wedges and muddle some more.",
    "Add lime juice and 6 mint leaves.",
    "Add large cubes of ice, cover the shaker, and shake vigorously 10-12 seconds or until the exterior of the shaker becomes visibly frosty.",
    "Fill a highball glass 3 full with ice cubes.",
    "Using a fine-mesh strainer, double-strain the mixture into the glass.",
    "Top with lemon-lime soda.",
    "To garnish, skewer 3 blueberries on a cocktail pick and then skewer on 1 lime wedge starting with the rind side. Place the garnish on the rim of the glass and add mint sprig on top of the drink."
  ],
  "author": ""
}
Goal :
    Générer une suggestion détaillée et visuellement attrayante pour la présentation finale d'un plat, basée sur le titre, les ingrédients et les instructions de cuisine. Cette description servira à créer une image du plat.


    Return Format :
    Renvoies un objet JSON respectant strictement cette structure :
    json
    {
        "data": <description>
    },
    - description doit être un prompt dans le but de générer une image et écrit en anglais.


    Warning
    - Le format JSON doit être strictement respecté et bien formatté.
    - Ne renvoie que le JSON, sans explication.


     Context Dump
    Données de la recette fournies :

    json
    {"title":"Mixed vegetables with smoked eel This king of starters, which has become a bit unfashionable, is definitely worth resurrecting!","ingredients":"The vegetables : red radishes,black radish,carrots,cauliflower,shelled petits pois,shelled broad (fava) beans,trimmed green beans, cut into lengths,green asparagus spears, cut into lengths,olive oil,garlic clove,thyme,vegetable stock,fine salt\nSmoked eel mayonnaise : egg yolk,mustard,groundnut (peanut) oil,sherry vinegar,smoked eel,fine salt,freshly ground pepper","instructions":"1-The vegetables\nTrim the red radishes, then cut into quarters. Trim the black radish and peel, top and tail the carrots. Dice the black radish and the carrots. Break the cauliflower into florets. Cook all the green vegetables (petits pois, broad beans, green beans and asparagus) separately in boiling salted water for about 5 minutes, depending on the vegetable. Remove each of the vegetables, as they are cooked, with a slotted spoon and immerse in cold water to prevent them cooking any further and keep them crunchy. Drain in a colander. Warm a splash of olive oil in a frying pan over a medium heat, then add the carrots, black radish and cauliflower. Add the garlic and thyme and sauté for 1-2 minutes, then deglaze with the stock. Leave the vegetables to cook over a gentle heat for 5 minutes, or until tender, then drain and allow to cool.\n2-The smoked eel mayonnaise\nMake a mayonnaise, following the recipe on p. 196. Add the diced smoked eel and season.\n3-Finishing off\nIn a large bowl, mix all the vegetables with a third of the mayonnaise (keep the rest, chilled, for another use). Check the seasoning and serve immediately.","region":"NL"}
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 buffalo jest publikacją?
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers hi (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 hi.
    - 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 : hi (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "78926f1115904dbe8c0b8ed09376cad7",
    "updated": "2025-04-23T21:57:16.992Z",
    "title": "Roasted Tomato and Basil Soup",
    "subtitle": "",
    "description": "This recipe shines with the use of ripe heirloom tomatoes, but any variety will create a delicious soup. The abundance of summer tomatoes inspires this flavorful creation, perfect for enjoying throughout the year.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "ripe heirloom tomatoes, diced",
          "olive oil, divided, plus more for garnish",
          "kosher salt",
          "freshly ground black pepper",
          "garlic cloves, smashed",
          "shallot, chopped",
          "fennel seeds",
          "reduced-sodium vegetable stock",
          "thinly sliced fresh basil, divided"
        ]
      }
    ],
    "instructions": [
      "Preheat oven to 450°F. Line a baking sheet with aluminum foil.",
      "Place the tomatoes on the prepared baking sheet. Toss with 1 tablespoon of olive oil, salt, and pepper to taste. Roast for 20 minutes.",
      "Heat 2 tablespoons of olive oil in a large pot over medium heat. Add the garlic, shallot, and fennel seeds. Cook for 3 to 4 minutes. Add the roasted tomatoes and any drippings from the baking sheet. Pour in the vegetable stock and 1/2 cup of basil. Simmer for 30 minutes. Allow to cool.",
      "Working in batches, purée the mixture in a blender at high speed. While blending, slowly drizzle in the remaining 2 tablespoons of olive oil.",
      "Serve the soup hot or chilled. Garnish with the remaining 1/2 cup of basil and a drizzle of olive oil, if desired."
    ],
    "notes_ingredients": "Always check ingredient packaging for gluten-free labeling.",
    "notes_instructions": "For a richer flavor, chill the soup overnight before serving. To freeze, allow the soup to cool completely before transferring to a plastic container or quart-size freezer bag. Label with the date and freeze for up to 4 months. Thaw in the refrigerator for 1 to 2 days or heat gently over low heat from frozen."
  }
]
Analyze the search results for the query: "seo etsy" and determine the following:

1. Is the query related to SEO or marketing?
   - If yes, return "Relevant".
   - If no, return "Not relevant".

2. Determine the search intent:
   - "Informational" → If the intent is to find information (e.g., articles, guides, advice).
   - "Transactional" → If the intent is to find and order services.
   - "Branded" → If the intent is to search for a specific brand or individual.
   - Combine intents if applicable, e.g., "Informational, Branded" or "Transactional, Branded".

3. Does the search query string includes name of location which is in the USA or Canada?
   - If yes, return "True".
   - If no, return "False".

The answer should be an inline JSON, with no backticks, \\n symbols, and etc.: {"relevant_to_seo_or_marketing": "Relevant / Not relevant", "keyword_intent": "Informational / Informational, Branded / Transactional / Transactional, Branded / Branded", "has_USA_or_Canada_location": "True / False"}
If "relevant_to_seo_or_marketing" is "Not relevant", leave "keyword_intent" and "has_USA_or_Canada_location" empty ("").

WARNING: DO NOT WRITE ANYTHING EXCEPT THE JSON AS PROVIDED IN EXAMPLE