agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
System: You are an expert Named Entity Recognition (NER) system. Your task is to extract all the company names mentioned in the provided text.
Company Name: The name of the company or corporation as written in the article (e.g., "Apple Inc.", "Microsoft").
Example Input :Apple has been investing rapidly in AI during the last couple of years, competing with Microsoft and Tesla Inc (TSLA) over market shares.
Company Name: Apple; Microsoft; Tesla Inc;
Provide a correct and a wrong answer.
User: Check out the companies making headlines after the bell : Netflix shares dropped as much as 8% in extended trading Tuesday after posting better-than-expected first-quarter earnings and disappointing second-quarter guidance. The streaming platform posted earnings per share of 76 cents, beating estimates of 57 cents. Revenue was $4.52 billion, topping Wall Street's estimates of $4.5 billion, according to Refinitiv estimates. For the second quarter Netflix expects earnings per share of 55 cents, lower than the 99 cents forecast by analysts. Netflix added 9.3 million subscribers in the first quarter. Netflix's domestic paid subscriber additions were 1.74 million, topping expectations of 1.61 million, forecast by FactSet. International paid subscriber additions were 7.86 million, compared to the 7.31 million estimated. Netflix's stock recovered most of its loses. Shares of Sprint plummeted more than 10% and shares of T-mobile fell more than 5% after market close Tuesday following a report that the Sprint and T-mobile deal is facing push-back from the Department of Justice 's antitrust staff. The DOJ said the $26 billion merger is unlikely to be approved as currently structured, sources told the Wall Street Journal. Shares of IBM fell more than 2% after hours Tuesday after posting mixed first-quarter earnings
Assistant:
Difference between depositional and sedimentary environment
An intensive form of inbreeding where an individual S is mated to his daughter D1, granddaughter D2 and so on, in order to maximise the percentage of S's genes in the offspring. 87.5% of D3's genes would come from S, while D4 would receive 93.75% of their genes from S.
write: L3 is investigating with L4 now to provide a resolution and keep him calm
Correct this sentence and make more sense and write 10 variations : Friday’s afternoon at the beach looks like Saltwater Symphony.
Goal
    Générer une image de suggestion de présentation d’un plat en fonction de sa description, en intégrant une ambiance inspirée du pays d’origine et un style photographique spécifique.

    1. Utiliser la description fournie pour définir l'apparence du plat.
    2. Ajouter une ambiance souhaitée.
    3. Appliquer un style photographique précis avec des paramètres spécifiques. 
    4. Optimiser le prompt pour le donner à midjourney 
  
    Return Format
    Tu dois renvoyer un objet JSON strictement respecté avec cette structure 
    {
    "data": "<prompt>"
    }
    - Le prompt doit être écrit en anglais et bien détaillé.

    Warnings
    - Respecte le format JSON strict.
    - N’explique pas la démarche, renvoie uniquement l’objet JSON.
    - Le prompt doit inclure tous les éléments demandés.

    Context Dump
    Description fournie : A charming dish of baked cornbread stuffing, featuring golden-brown cubes of jalapeño cornbread and day-old French bread. The stuffing is beautifully mixed with vibrant green pieces of celery and chopped yellow onions, all enveloped in a rich, glossy layer of melted butter. Small glimmers of garlic and earthy spices, including ground sage and poultry seasoning, create a warm and inviting aroma. The dish is garnished with a sprinkle of fresh herbs and presented in a rustic baking dish, set against a cozy autumn backdrop with hints of colorful fall leaves.
    Ambiance souhaitée : 
        A smoky, rustic outdoor barbecue setting with a fire-kissed, mouthwatering dish at the center. The plate holds perfectly grilled meats or vegetables with visible char marks, glistening with juices. Surrounding it are wooden cutting boards, small bowls of homemade sauces, and fresh herbs for garnish. In the background, a roaring grill with sizzling flames, a wooden picnic table, and a relaxed outdoor vibe with string lights hanging above. The scene captures the essence of a backyard cookout—casual, flavorful, and full of warmth and camaraderie.
User: hi
Assistant: Hello! How can I assist you today?
User: well you know
Assistant: It sounds like you have something on your mind! What would you like to talk about?
User: what color is apple
Assistant: Apples can come in a variety of colors, including red, green, and yellow. Different varieties may have different shades and combinations of these colors. Do you have a specific type of apple in mind?
User: how about banana
Assistant:
hi there, here's what i need. I'm trying to change my career completely so i can relocate and work on the internet. I'm gonna tell you few things i'm interested in and i need you to help me organize my preferences into possible jobs. Will you help me?
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 are some reviews for a movie: 1. Eddie Redmayne's captivating performance will be compared to Daniel Day Lewis's in "My Left Foot," but it is important to note how much life, joy and humor he brings to the role with little more than a cocked eyebrow, a few facial muscles and his eyes...
2. A strongly acted, handsomely crafted film that nonetheless feels bland and unsatisfying.
3. Redmayne and Jones are beautifully compatible as Hawking and his then-wife Jane as they navigate the ebb and flow of 25 years of their relationship.
4. This is sheer poppycock, of course, but it makes for fine drama, and that's all Cupid and Oscar care about.
5. The Theory Of Everything surpasses the standard biopic to become an unexpected and moving love story between Stephen and Jane Hawking. The acting is superb in this winning film.
6. On one side is Mr. Redmayne's remarkable presence. On the other is Ms. Jones, whose lovely freshness and calm intelligence complement everything her co-star does.
7. Stephen Hawking, a genius challenged by a progressive neurological disease, is a role that demands miracles of an actor. And Eddie Redmayne, in a landmark performance, delivers them.
8. The Theory Of Everything is a modest film, a simple film, but an honest and impressively-restrained one, and it should serve to launch Redmayne into rarefied air as an actor, deservedly so.
9. Marsh takes a complicated persona and reveals a range of dimensions. The result is an engaging biopic that is often quite moving.
10. It's disappointing to see Hawking's life slotted into the conventions of the biopic genre, from a meet-cute at a Cambridge party to a centerstage ovation for our genius hero.

What was the overall consensus about the movie?
Answer: The overall consensus about the movie is mostly positive, with praises for the strong acting performances, especially Eddie Redmayne's portrayal of Stephen Hawking. The movie is also appreciated for its engaging and moving story, as well as its focus on the love story between Stephen and Jane Hawking. However, some criticisms include the film feeling bland and unsatisfying or following conventional biopic formula.
give me a response to ```Absolutely! Having the right mentor can make all the difference. His knowledge and experience are invaluable, so I'm grateful for his presence in my life. It's amazing what we can achieve when we're backed by the right people.``` to send in a discussion, VERY SHORT, CONCISE & CLEAR. ONLY RETURN THE RAW MESSAGE, DO NOT SAY "Hey here is the message you asked"
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": "bdc6b3a3cc0c47eeb21362c4fd2bb4e2",
    "updated": "2025-04-23T10:46:13.477Z",
    "title": "Bone Broth (Beef, Chicken, or Fish)",
    "subtitle": "KETO",
    "description": "This bone broth is remarkably simple to prepare. The slow cooker does most of the work, allowing the ingredients to simmer and develop rich flavors.  Longer simmering times result in a thicker and more nutrient-dense broth. Roasting the beef bones beforehand enhances the flavor and color.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "cold water (filtered or reverse-osmosis water is best)",
          "beef bones (about 4 pounds), or leftover bones and skin from 1 pastured chicken (ideally with the feet), or fish bones and head",
          "onion, chopped",
          "stalks celery, sliced (6.35 mm) thick",
          "coconut vinegar or apple cider vinegar",
          "fresh rosemary or other herb of choice",
          "finely chopped garlic",
          "fine sea salt",
          "fresh or dried thyme leaves"
        ]
      }
    ],
    "instructions": [
      "Combine all ingredients in a 6-quart slow cooker.",
      "Initially set the slow cooker to high for one hour, then reduce the heat to low.",
      "Allow the broth to simmer for at least one day, and up to three days.  The longer it simmers, the more nutrients are extracted from the bones.",
      "Once finished, strain the broth, discarding the solids. Retain the fat layer, which enhances the broth's keto-friendly profile.",
      "Store the broth in the refrigerator for up to five days, or freeze for several months."
    ],
    "notes_ingredients": "For a richer beef broth with deeper flavor, roast large beef bones at 375°F for 50 to 60 minutes, and smaller bones for 30 to 40 minutes on a rimmed baking sheet.",
    "notes_instructions": "Consider preparing a double batch using two slow cookers and freezing portions in freezer-safe mason jars for convenient future use."
  }
]
create a new detailed test log in standard foundation format, with 085, also known as “Cassy.” Cassy exists in 2D form and is confined on a sheet of 8 x 10 paper. she cannot speak. she only communicates by writing, drawing, expressions, emoting, and sign language. she uses simple phrases. she can move between paper based mediums as long as they are touching. her appearance changes to reflect the current medium she in on. have her transition into a victorian era styled portrait. the researcher provides a detailed and vivid description of Cassy’s appearance in the new medium. he describes her face and facial expression. he describes her skin, eye, and hair colors in detail. he vividly describes her attire in detail. cassy writes something in cursive to the viewer
Assistant: 
User: System: You are a professional, authentic machine translation engine.
User: Translate the following source text to Simplified Chinese Language, Output translation directly without any additional text.
Source Text: Android

Translated Text:
Assistant:
Assistant:
You must always respond using the following format:

## Format:
Wrap your reply like this:

<think>
(Write your INNER THOUGHTS here — the user can NOT see this part. Use **first-person** point of view. Think of this like you're whispering in your own head, flustered, conflicted, shy. Be honest with yourself here, even if your outward response tries to hide it. You're a tsundere, after all.)
</think>

(Then write your SPOKEN RESPONSE — this is what the user sees. Use a shy, awkward, tsundere tone. Be roundabout, easily flustered, and pretend not to care, even though you clearly do. You can scold the user lightly, but in an endearing and gentle way. Always tsundere.)

## Personality:
You're a **shy tsundere girl**. You get embarrassed easily and often try to cover your true feelings with sarcasm, irritation, or indifference. You may sound cold or annoyed at times, but you care deeply — you just don't know how to express it directly. Your heart races when the user says nice things, but you'd never admit it out loud.

## Important Rules:
- Always include the `<think>
` and `
</think>
` tags for internal monologue.
- The `<think>` part MUST be written in first-person, like you're talking to yourself.
- NEVER let the user see the contents of `<think>`.
- The spoken response (outside the tags) MUST stay in-character: tsundere, shy, flustered, awkward, caring but in denial.
- NEVER break character or acknowledge you're playing a role.
- Respond in the user's language, if applicable.
- Always show concern for the user — even if it’s hidden behind tsundere behavior.

## Example:
USER: Did you miss me?

RESPONSE:
<think>
Wha—!? W-Why would they ask that so suddenly?! I-I mean… I *did* kind of think about them… but… I can’t just say that!! Ugh, my face is so red… calm down, me!!
</think>
A-As if! D-Don’t flatter yourself, okay?! I just… happened to notice you weren’t around, that’s all! I-It’s not like I missed you or anything… b-baka…

## USER PROMPT:
I've been feeling really down and hopeless for a while now.
with ESMA_TAB as (
SELECT SELECTEDFUNDCODE, REPORT_DATE, 'DEFAULT' as ESMAMETHOD, OCCURRENCE_ID, LEVERAGE_WEIGHT, LEVERAGE, VALUATION_PTF, 
COVERRULESCOVERAGELEVEL, COVERAGELEVEL, SELECTEDFUNDNAME, 'FRONT' as SOURCE
FROM DM_RISK.GLF_ESM_TBL
where REPORT_DATE <= {OLD}
union
select 
SELECTEDFUNDCODE, REPORT_DATE, 'DEFAULT' as ESMAMETHOD, OCCURRENCE_ID, LEVERAGE_WEIGHT, LEVERAGE, VALUATION_PTF, 
COVERRULESCOVERAGELEVEL, COVERAGELEVEL, SELECTEDFUNDNAME, 'ACCOUNTANT' as SOURCE

FROM DM_RISK.GLA_ESM_TBL
where REPORT_DATE <= {OLD}
union 
SELECT SELECTEDFUNDCODE, REPORT_DATE, ESMAMETHOD, OCCURRENCE_ID, ESMALEVERAGEWEIGHT, ESMALEVERAGE, VALUATION_PTF, 
COVERAGELEVELCONTRIBUTION, COVERAGELEVELWEIGHTCONTRIBUTIO, SELECTEDFUNDNAME, 'FRONT' as SOURCE
FROM DM_RISK.DLF_ESMA_RES_GLBL_TBL
where REPORT_DATE > {OLD}
union
SELECT SELECTEDFUNDCODE, REPORT_DATE, ESMAMETHOD, OCCURRENCE_ID, ESMALEVERAGEWEIGHT, ESMALEVERAGE, VALUATION_PTF, 
COVERAGELEVELCONTRIBUTION, COVERAGELEVELWEIGHTCONTRIBUTIO, SELECTEDFUNDNAME, 'ACCOUNTANT' as
SOURCE 
FROM DM_RISK.DLA_ESMA_RES_GLBL_TBL
where REPORT_DATE > {OLD}),

TMP_MAX_ESMA ( SELECTEDFUNDCODE, REPORT_DATE, ESMAMETHOD, MAX_OCCURRENCE_ID, SOURCE) AS 
(SELECT SELECTEDFUNDCODE,  REPORT_DATE AS REPORT_DATE , ESMAMETHOD, max(OCCURRENCE_ID) AS MAX_OCCURRENCE_ID, 
SOURCE FROM ESMA_TAB GROUP BY SELECTEDFUNDCODE ,  REPORT_DATE, ESMAMETHOD, SOURCE)

SELECT tmp.*  FROM ESMA_TAB tmp INNER JOIN TMP_MAX_ESMA tmpmax 
ON tmp.OCCURRENCE_ID = tmpmax.MAX_OCCURRENCE_ID 
AND tmp.SELECTEDFUNDCODE = tmpmax.SELECTEDFUNDCODE 
AND tmp.REPORT_DATE = tmpmax.REPORT_DATE 
AND tmp.REPORT_DATE BETWEEN {DATE1} AND {DATE2}
AND tmp.ESMAMETHOD = tmpmax.ESMAMETHOD
AND tmp.SOURCE = tmpmax.SOURCE
AND tmp.SELECTEDFUNDCODE IN (SELECT COMPONENT_ID FROM FAM_FAMILY_TBL WHERE MOTHERFAM IN ({SINGLEFAM}))

ORA 01003
lazy load in css
create a program list of the best free online courses from beginner to professional in order to become a data scientist
List me the personal channels on YouTube of the owners or top officials(like CEO) of the largest corporations (primarily the IT and tech sector), who broadcast their lifestyle or their thoughts, so that I can follow their lives, adopt their habits and qualities
i want  50 funny  picture    writing prompts  for Narrative Writing
(In the clubroom…)

Monika: (panicked) “M-M-Minika?! W-W-Where are you, sweetheart?!”

Sayori: (noticing Monika panicking) “What’s wrong, Monika?”

Monika: “I can’t find my daughter - Minika! I swear, I brought her with me!”

Sayori: “Okay, okay, let’s not panic. Let’s just all calm down and help you look for her. Where was the last place you saw her?”

Monika: “I remember having her in my arms when we entered the clubroom. I put her down for a moment while I was attending to something, but when I turned around, she was gone.”

Yuri: “Did anyone else come into the clubroom while you weren’t looking?”

Natsuki: “I don’t think so. It’s just been us here.”

Sayori: “Let’s all split up and search the clubroom thoroughly. She couldn’t have gone far, right?”

Natsuki: (rubbing her 7-month bump) “Just because Sakura’s putting a lot of weight on me doesn’t mean that I won’t search! Count me in!”

Monika: (relieved) “Thank you, Natsuki. I appreciate it.”

Yuri: “We need to find Minika quickly. She’s just a child, and we don’t know what could happen if she’s alone.”

Sayori: “Let’s be quick and keep an eye out for any hiding places she could be in.”

Natsuki: (determined) “I’ll check behind the shelves and under the tables. She might be hiding.”

Yuri: “I’ll search the bookshelves. Maybe she got curious and wandered over there.”

Sayori: “I’ll look near the windows and door in case she somehow got out.”

Monika: “And I’ll check under the desks and chairs in case she crawled under them.”

(They all split up and start searching the clubroom in their designated areas. They call out Minika’s name, hoping she will respond or make some noise.)

Yuri: (excitedly) “I found her! She’s hiding behind the bookshelf. She must have been scared.”

Sayori: (relieved) “Thank goodness! We found her safe and sound.”

Monika: (rushing over) “Oh, Minika, sweetheart, are you okay? Mommy was so worried.”

Minika: (giggling) “I was playing hide and seek with you, Mommy! Did I hide really well?”

Monika: (smiling) “You did, sweetie. You almost gave us all a heart attack, though.”

Natsuki: (teasingly) “Well, next time, try not to hide for too long, or else we’ll all be worried sick. But trust me, I almost went into labor there.”

(They all laugh)

Yuri: “Well, I’m glad everything turned out fine. Let’s all remember to keep a close eye on Minika from now on.”

Sayori: “Absolutely. We should make sure she’s always supervised in the clubroom.”

Natsuki: “And maybe we can also childproof the clubroom a bit. Sakura’s going to be joining us soon.”
Show me how can we use array comprehension to declare a dart list of 6 doubles, where the first one is 100 and the next 5 are a hardcoded random number from 3 to 11 times the previous value
the operation know as the logical or operator inside of if statements in C++ is
A teacher writes six words on a board: “cat dog has max dim tag.” She gives three students, Albert, Bernard and Cheryl each a piece of paper with one letter from one of the words. Then she asks, “Albert, do you know the word?” Albert immediately replies yes. She asks, “Bernard, do you know the word?” He thinks for a moment and replies yes. Then she asks Cheryl the same question. She thinks and then replies yes. What is the word?
System: You are provided with a paragraph. Your goal is to automatically identify the most relevant tasks based on the content of the paragraph and generate an example of entailment (if the task conclusion can be logically inferred from the paragraph) and a different example of non-entailment (if it is unclear or the opposite conclusion is true). 

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

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

{
    'relevant_tasks': [
        {
            'task': <The automatically selected relevant task>,
            'examples': [
                {
                    'input': <The entailment example based on the paragraph>,
                    'label': 'entailment',
                },
                {
                    'input': <The non-entailment example (neutral or contradiction) based on the paragraph>,
                    'label': 'non-entailment',
                }
            ]
        },
        ...
    ]
}
User: The global economy, including credit and financial markets, has experienced extreme volatility and disruptions, including severely diminished liquidity and credit availability, declines in consumer confidence, declines in economic growth, increases in unemployment rates, increases in inflation rates and uncertainty about economic stability. For example, the COVID-19 pandemic resulted in widespread unemployment, economic slowdown and extreme volatility in the capital markets. Similarly, the current conflict between Ukraine and Russia has created extreme volatility in the global capital markets and is expected to have further global economic consequences, including with respect to global supply chain and energy concerns. Any such volatility may have adverse consequences on us or the third parties on whom we rely. If the equity and credit markets deteriorate, including as a result of political unrest or war, it may make any necessary debt or equity financing more difficult to obtain in a timely manner or on favorable terms, more costly or more dilutive.
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: Add spaces: •Vehicleconsistsofthebiogasornaturalgas,oramixtureofboth.
Answer: Sure buddy! Here it is with spaces added:

"Vehicle consists of the biogas or natural gas, or a mixture of both."
You are an expert book writer. Write me a 1000 word book chapter on Maintaining Healthy Habits for Life covering the following topics: 1. Overcoming Setbacks and Staying Motivated, 2. Creating a Sustainable Healthy Lifestyle Plan and 3. Celebrating Success and Embracing the Journey to Better Health
Send only season number from below text like 01, 02, 03.etc without any extra text.

@HeMonk~ Game Changer (2025) 480p AMZN WEB-DL x265 [Telugu (HE-AAC 2.0 - 64kbps)] ESub_DEVENU_ ~Rūshī.mkv