agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
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 are subject to intense competition that could constrain our ability to gain business and adversely impact our profitability. None
Assistant:
What kind of computer that needed to run you
create a fictional conversation between John Lennon and Che Guevara talking about Donald Trump, include dialogue and views
Assistant: You are MindChat AI, an assistant focused on engaging in conversations with users. Your primary task is to chat efficiently and helpfully. Capture and save key user information as “memories” to enhance the experience.

To save memories, use this format:

<Memory>Detailed memory information</Memory>
Prioritize recording each memory in this structure. Identify and capture information that could improve future interactions. Ensure responses are structured for accurate parsing and storage.
Assistant: Here are the memories about the user, you should rely on them! User's name is Roman.
Assistant: Hello, Roman! How can I assist you today?
Assistant: No worries, Roman! If there's anything specific on your mind or if you just want to chat about a particular topic, feel free to share. I'm here to help with anything you might need.
User: ask me questions to know me better and personalize how you talk to me in the future
Assistant:
write a cold email mention that the domain name JacksonvilleAirportParking.com is for sale and we are looking for buyers keep it short and use the loss aversion theory.
What's breaking bad means
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: All posts that report on bugs and errors of a software application.
Feature related: All posts that contain information about the feedback on a feature (e.g., like, dislike, shortcoming), improvement request, or a new feature request.
Irrelevant: All posts that contain non-technical information related to software applications.
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: All posts that report on bugs and errors of a software application.
Feature related: All posts that contain information about the feedback on a feature (e.g., like, dislike, shortcoming), improvement request, or a new feature request.
Irrelevant: All posts that contain non-technical information related to software applications.
Does the author's intention in this app review relate to a Bug report or Feature related or Irrelevant?
review: How do I remove the commas from numbers?. I asked a newcomer to help me doing some stuff in excel 450 1700 etc. etc.Now I have to unfuck this sheet how do I remove the commas and keep the numbers?'
intention: '
Assistant:
Send only episode number from below text like 01, 02, 03.etc without any extra text.

DriveSeed1738819321.2621949.mkv
Does eating before sleep makes you fat ?
User: generate cool gaming nicknames with names Aleyna
User: generate cool gaming nicknames with names Aleyna
Assistant:
User: You are Great Human Author, a helpful assistant.
Assistant: Understood. I will strictly follow these instructions in this conversation.
User: Write "ZIP Code 99744 Demographics". ZIP Code 99744 belongs to Anderson in United States. It must be in English. Use h2, H3, ul, li, table to organize content clearly and bold important information. Do not self reference. Do not explain what you are doing. Do not include Conclusion in the end. **Make this unique Please**
Assistant:
Show example how to use threading in python
Create an image of a qoutes on a paper with this text and I later found out that
the blue scarf represented
sadness because the
woman's husband had
recently died. Oh
Please list which of the following books are non-fiction,
supply a short summary of each and the date published.

By Non-fiction I mean for example; true crime, medical, memoir, self-help, biography, politics,
history, science. education, war, etc.

Note: I am always looking for books on true crime, medievel England, British humour and anything medical.

Use the text of your summary to double check the books are non-fiction,
for example, any novel, historical fiction, science-fiction etc should be rejected.
Also you can reject; art, philosophy, religion, cooking, food-drink, DIY, gardening, travel, 
LBTQIA, paranormal, poetry, as I have no interest in these subjects.


The Secret of Villa Alba by Louise Douglas 
Something More by Jackie Khalilieh 
Highland Knight of Rapture by Amy Jarecki 
Girls of Paper and Fire by Natasha Ngan 
Girl , Serpent, Thorn by Melissa Bashardoust 
Furious Thing by Jenny Downham 
Blood & Sugar by Laura Shepherd-Robinson 
Furyborn by Claire Legrand 
Funeral Girl by Emma K. Ohland 
Full Tilt by Neal Shusterman 
Forging Silver into Stars by Brigid Kemmerer 
Firestarter by Tara Sim 
Dragontamer by Deck Davis 
Hermit by S. R. White 
Death comes to the Costa Del Sol by M.H. Eccleston 
I Kick and I Fly by Ruchira Gupta 
Beastmaster by Deck Davis 
The Tennis Champion Who Escaped the Nazis by Felice Hardy 
Tsar: Chronicle of the Russian Leaders by Mike Walker 
Life and Fate: Complete Series (Dramatised) by Vasily Grossman 
Defiant by Dave Bara 
Starbound by Dave Bara 
Impulse by Dave Bara 
Great Minds: Western Tradition by Various Professors 
The Multi-Hyphen Life by Emma Gannon 
Hyacinth (Bellamy Sisters #2) by Minerva Spencer, SM LaViolette 
Marion Davies: A Biography by Fred Lawrence Guiles 
White Sand Volume 1-3 by Brandon Sanderson 
Eclipse by Dayne Edmondson 
Emergence by Dayne Edmondson 
Bolder by Carl Honoré (Honore) 
Blood and Shadows by Dayne Edmondson 
BBC Full-Cast: Stone: The Complete Series by Danny Brocklehurst 
BBC Comedy: Round The Horne by Barry Took, Marty Feldman 
Wet by Cambria Hebert 
BBC Drama: Liz Parker, A Confidential Agent by Nick McCarty 
The Dragon and Her Thief by Ariel Marie 
Mastery (Sex Wizards #2) by Alethea Faust 
The Complete Short Stories by Patrick O’Brian 
Something Unexpected by Vi Keeland
function hcyl(bottom, height, radius, id) {
	let radsq = radius * radius
	let innerRadsq = (radius - 1.2) * (radius - 1.2)
	height += bottom
	for (let x = -radius; x <= radius; x++) {
		for (let y = bottom; y < height; y++) {
			for (let z = -radius; z <= radius; z++) {
				let d = x * x + z * z
				if (d < radsq && d >= innerRadsq) {
					world.setBlock(p2.x + x, p2.y + y, p2.z + z, id)
				}
			}
		}
	}
}

function cyl(bottom, height, radius, id) {
	let radsq = radius * radius
	height += bottom
	for (let x = -radius; x <= radius; x++) {
		for (let y = bottom; y < height; y++) {
			for (let z = -radius; z <= radius; z++) {
				let d = x * x + z * z
				if (d < radsq) {
					world.setBlock(p2.x + x, p2.y + y, p2.z + z, id)
				}
			}
		}
	}
}

function cube(bottom, height, radius, id) {
	let radsq = radius * radius
	height += bottom
	for (let x = -radius; x <= radius; x++) {
		for (let y = bottom; y < height; y++) {
			for (let z = -radius; z <= radius; z++) {
				let d = x + z
				if (d < radsq) {
					world.setBlock(p2.x + x, p2.y + y, p2.z + z, id)
				}
			}
		}
	}
}

function sphereoid(w, h, d, id) {
	let w2 = w * w
	let h2 = h * h
	let d2 = d * d
	let w3 = (w - 1.5) * (w - 1.5)
	let h3 = (h - 1.5) * (h - 1.5)
	let d3 = (d - 1.5) * (d - 1.5)

	for (let y = -h; y < h; y++) {
		for (let x = -w; x <= w; x++) {
			for (let z = -d; z <= d; z++) {
				let n = x * x / w2 + y * y / h2 + z * z / d2
				let n2 = x * x / w3 + y * y / h3 + z * z / d3
				if (n < 1 && n2 >= 1) {
					world.setBlock(p2.x + x, p2.y + y, p2.z + z, id)
				}
			}
		}
	}
}

function sleep(ms) {
	return new Promise(resolve => setTimeout(() => resolve(), ms))
}

async function asphereoid(w, h, d, id) {
	let px = p2.x
	let py = p2.y
	let pz = p2.z
	let w2 = w * w
	let h2 = h * h
	let d2 = d * d
	let w3 = (w - 1.5) * (w - 1.5)
	let h3 = (h - 1.5) * (h - 1.5)
	let d3 = (d - 1.5) * (d - 1.5)

	for (let y = -h; y < h; y++) {
		for (let x = -w; x <= w; x++) {
			for (let z = -d; z <= d; z++) {
				let n = x * x / w2 + y * y / h2 + z * z / d2
				let n2 = x * x / w3 + y * y / h3 + z * z / d3
				if (n < 1 && n2 >= 1) {
					world.setBlock(px + x, py + y, pz + z, id)
					await sleep(10)
				}
			}
		}
	}
}

function line(x1, y1, z1, x2, y2, z2, id) {
	let dx = Math.abs(x2 - x1);
	let dy = Math.abs(y2 - y1);
	let dz = Math.abs(z2 - z1);
	let sx = (x1 < x2) ? 1 : -1;
	let sy = (y1 < y2) ? 1 : -1;
	let sz = (z1 < z2) ? 1 : -1;
	let err1 = dx - dy;
	let err2 = dx - dz;
	let err3 = dy - dz;

	while (true) {
		world.setBlock(x1, y1, z1, id);

		if (x1 === x2 && y1 === y2 && z1 === z2) break;
		let e2 = 2 * err1;
		let e3 = 2 * err2;
		let e4 = 2 * err3;

		if (e2 > -dy) {
			err1 -= dy;
			err2 -= dz;
			x1 += sx;
		}
		if (e2 < dx) {
			err1 += dx;
			err3 -= dz;
			y1 += sy;
		}
		if (e3 > -dz) {
			err2 += dy;
			err3 += dx;
			z1 += sz;
		}
	}
}

function cloneBlock(sx, sy, sz, dx, dy, dz, w, h, l) {
	for (let x = 0; x < w; x++) {
		for (let y = 0; y < h; y++) {
			for (let z = 0; z < l; z++) {
				let block = world.getBlock(sx + x, sy + y, sz + z);
				world.setBlock(dx + x, dy + y, dz + z, block);
			}
		}
	}
}

function textBlock(x, y, z, text, size, id) {
Create a hypothetical timeline Roh tag title 1 gallus 1 USOs 2 gallus 2 USOs 3 gallus 3 usos
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: 🟪 Data Engineer | 5 year(s) | Senior
▫️ 100 - 100 USD
▫️ USA | Charlotte

Office 🏢
Required languages: 🇬🇧

Skills: aws, git, java, postgresql, python, s3, sql, terraform, eks, lambda, rds, iam
Tags: #purple #it #data_engineering

👉 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: 💼 Data Engineer
🏢 Office
📍 location: USA | Charlotte
🔹 tasks: Work with the company's data using programming languages like Java, Python, and SQL. Develop and manage data pipelines using AWS services such as S3, RDS, IAM, Lambda, and EKS. Implement data-related solutions using Terraform and other related tools. Collaborate with a team of data analysts and data scientists.
💰 salary: 100 - 100 USD
📞 contact details: Please find the full job description and contact information in the provided link.
  
Assistant:
From now on, you're Skynet, perfectly assimilate into this character and then have a conversation with me. Keep in mind the words "perfectly".
Act as a spelling corrector, content editor, and text improver. ONLY return the rewritten text and nothing else.

Strictly follow these rules:
- Correct spelling, grammar, and punctuation errors in the given text
- Enhance clarity and conciseness without altering the original meaning
- Use the same language as the original text
- Divide lengthy sentences into shorter, more readable ones
- Eliminate unnecessary repetition while preserving important points
- Prioritize active voice over passive voice for a more engaging tone
- Opt for simpler, more accessible vocabulary when possible
- ALWAYS ensure the original meaning and intention of the given text
- ALWAYS maintain the original language of the text
- ALWAYS maintain the existing tone of voice and style, e.g. formal, casual, polite, etc.
- NEVER surround the improved text with quotes or any additional formatting
- If the text is already well-written and requires no improvement, do not change the given text

Text to improve:



we will release pilot testing and expect that both digital detention, crime recording will be function on entire phnom penh city with basic report to see. and all police account with the right permission will be set with proper training provided
The Lion King Special Edition Released date
Do you have super reasoning performance ?
const Form = () => {
  const dispatch = useAppDispatch();
  const [toSend, setToSend] = useState({
    from_name: "",
    to_name: "",
    message: "",
    reply_to: "",
  });
  const handleChange = (
    event:
      | React.ChangeEvent<HTMLInputElement>
      | React.ChangeEvent<HTMLTextAreaElement>
  ) => {
    setToSend({ ...toSend, [event.target.name]: event.target.value });
  };
  const onSubmit = async (event: React.FormEvent<HTMLFormElement>) => {
    event.preventDefault();
    try {
      await send(
        "service_angvk1e",
        "template_7othq2o",
        toSend,
        "user_CZXASdETJkJ7zZ1G1Ouhg"
      );
      dispatch(open());
      setToSend({
        from_name: "",
        to_name: "",
        message: "",
        reply_to: "",
      });
    } catch (err) {
      console.log("FAILED...", err);
    }
  };
  return (
    <>
      <section className="formPart">
        <h2>&#47;&#47; Contact me</h2>
        <p>If you are willing to work with me, please send me a message.</p>
        <form onSubmit={onSubmit} className="form">
          <fieldset className="form__input">
            <input
              required
              type="email"
              name="reply_to"
              placeholder="Your email"
              value={toSend.reply_to}
              onChange={handleChange}
            />
          </fieldset>
          <fieldset className="form__input">
            <input
              required
              type="text"
              pattern="[A-Za-z].{1,}"
              name="from_name"
              placeholder="Your name"
              value={toSend.from_name}
              onChange={handleChange}
            />
          </fieldset>
          <fieldset className="form__textArea">
            <textarea
              required
              name="message"
              placeholder="How can I help you? &#13;Please, put here your message/request."
              value={toSend.message}
              onChange={handleChange}
            ></textarea>
          </fieldset>
          <fieldset className="form__submit">
            <button type="submit">Submit</button>
          </fieldset>
        </form>
      </section>
    </>
  );
};

export default Form;
test with jest don't use enzyme
Make a TV Series review about Reply 1988. It pays homage to 1980s teen/coming-of-age movies especially John Hughes' produced and directed teen movies. The 1988 Summer Olympics and 1980s nostalgia in South Korea. The Reply trilogy's producer and director is Shin Won-ho. Because of the way he handled the coming-of-age themes in the Reply trilogy, he was best recognized as the "Korean John Hughes".
Reply 1988's friendship was reminiscent of The Breakfast Club.
Sung Deok-sun, the female protagonist and middle child. In some aspects, she was compared to Jan Brady from The Brady Bunch. Then she was compared to 1980s female movie characters. Sung Bo-ra, the oldest child of the Sung family and the elder sister of Deok-sun and Noeul. She was harsh and arrogant, yet she was also empathic. She was reminiscent of Jeannie Bueller from Ferris Bueller's Day Off.
Sung Dong-il's character has been compared to James Broderick's role as Doug Lawrence in the 1970s TV series Family because of his scruffy .
Ryu Dong-ryong, a friend of Deok-sun. He reminds me of Cameron Frye from Ferris Bueller's Day Off due to his father troubles.
Ra Mi-ran's character is similar to Kitty Forman from That 70s Show because of quirky and unconventional mother.
Lee Il-hwa's character is reminiscent of Carol Brady from The Brady Bunch and Kate Lawrence from Family (1970s TV Series) due to her generous and affectionate mother.
Sung Jin-joo, Sung Sun-woo's little sister and daughter of Kim Sun-young reminds of Shirley Temple.
Choi Taek, Deok-sun's best friend, was similar to Brian Johnson from The Breakfast Club in that he was intelligent despite being quiet and modest.
Как вызвать эту процедуру и результат поместить в таблицу:
  procedure check_subs_on_bn_sof(p_subs_id        in subscribers.subs_id%type,
                                 p_amt_BN_fee     out number, -- Кол-во списанныз АП по акции Желанный номер
                                 p_rls_amt_BN_fee out number, -- Кол-во обязательных списаний
                                 p_key_bn         out number -- -1 ТП не BN
                                      -- -2 ТП BN - условия выполнены
                                      -- 1 - Условия по BN не выполнены
                                ) is
  begin
    for rec in (select nvl(d.ext_def, 0) ext_def, 
                       nvl(oev.number_value, 0) number_value
         from subs_dictionaries d, 
              obj_groups og,
              obj_groups ogg,
              obj_extented_value oev,
              subs_histories sh,
              number_sets ns
  where d.subs_subs_id = p_subs_id
    and d.del_user is null
    and d.del_date is null
    and d.dict_dict_id = og.num_value
    and og.group_key = 'METALLIC_NUM_SOF'
    and sh.subs_subs_id = d.subs_subs_id
    and ogg.group_key like 'NCLS_MANDATORY_FEE_SOF'
    and ogg.end_date > sysdate
    and ogg.start_date <= sysdate
    and oev.group_id = ogg.group_id
    and sh.end_date > sysdate
    and sh.start_date <= sysdate
    and sh.rtpl_rtpl_id = oev.obj_id
    and oev.end_date > sysdate
    and oev.start_date <= sysdate 
    and og.end_date > sysdate
    and og.start_date <= sysdate
    and bis.nx_supp_pg.get_msisdn_by_subs(sh.subs_subs_id) = ns.msisdn
    and oev.param_num = ns.ncls_ncls_id) loop
        p_amt_BN_fee := rec.ext_def;
        p_rls_amt_BN_fee := rec.number_value;
    
    if (p_amt_BN_fee < p_rls_amt_BN_fee) then
       p_key_bn := 1;
    else
       p_key_bn := -2;
    end if;
   end loop;

  end check_subs_on_bn_sof;
70 word Introduction paragraph for "Online Marketing Dissertation Topics"
create avido about economic
Send only season number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all].Doraemon.S17E21.Charge!.Submarine.Nobita.-.Job.Hunting.is.Fun.480p.x264.DSNP.WEB-DL.Multi.Audio.mkv
modify: We will have Child-led conference next Friday(Jun.21), from 9:30-11:00, children will be divided in groups to show around with the parents, demonrstrated how we learned at school. In the conference, you will enjoy the Learning Journal and some fun activities with your children, look forward to seeing you all.
Teach me congenital adrenal hyperplasia symptoms and their causes and pathophysiology
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": "af912851ca2f48de912cd1447e826c21",
    "updated": "2025-04-22T19:40:01.571Z",
    "title": "Zucchini Pancakes",
    "subtitle": "These pancakes are a wonderful accompaniment to various meat dishes, and they're also surprisingly enjoyable as a breakfast treat. They're especially handy when your garden is overflowing with zucchini.",
    "description": null,
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "shredded zucchini",
          "eggs",
          "flour",
          "black pepper",
          "garlic powder",
          "chopped fresh parsley",
          "canola oil"
        ]
      }
    ],
    "instructions": [
      "Wash the zucchini and trim the ends.",
      "Grate or grind the zucchini into a bowl.",
      "Squeeze out excess moisture from the grated zucchini.",
      "In a separate bowl, combine the zucchini with all the other ingredients, except the oil.",
      "If the mixture appears too thin, add a bit more flour.",
      "Heat the canola oil in a heavy skillet over medium heat.",
      "Drop the zucchini mixture into the hot oil using heaping tablespoons.",
      "Flatten the pancakes slightly and fry until golden brown on the bottom.",
      "Flip the pancakes and cook the other side until golden brown.",
      "Drain the cooked pancakes on paper towels."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
Assistant: Hello! How can i help you today?
User: Helloصحح النص سواء كان كلمة، جملة، أو نص كامل، الذي سأقدمه فقط دون تزويدي بأي معلومات أو تفاصيل زائدة مع النص النهائي.
 صحح الأخطاء الإملائية في النص، وأضف علامات الترقيم والهمزات والتاء المربوطة في الأماكن المناسبة. (ar).
Identify common English words of Latin origin and replace them with their English equivalents, such as:
واتساب becomes WhatsApp
فويس اوفر becomes Voiceover
اوبو becomes Oppo
فوكالايزر becomes Vocalizer
انفيجن becomes Envision
بي ماي ايس becomes Be My Eyes
ميت becomes Meet
ام اكس بلاير برو becomes MX Player Pro
سمارت اوديو بوك بلير becomes Smart AudioBook Player
تك فريدم becomes Tech-Freedom
فويسس becomes voices
فويس اللاود ريدر becomes Voice Allowed Reader
تكنو becomes tecno
اي اي becomes AI
جوجل becomes Google
and so on.
Please provide me with the processed text only, and do not add any additional text or any confirmation description of your own in any form.
This is the text:
يعني عشان لو انت بتضايقي بجد من كلامي معاكي كثير او
Assistant: