agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Assistant: 
User: System: I will provide you with a textual GitHub issue title of an Android app, aiming to categorize the issues into one or multiple specific intention classes:
bug: indicates an unexpected problem or unintended behavior
enhancement: Indicates new feature requests
other: Other categories
User: 'prompt:I will provide you with a textual GitHub issue title of an Android app, aiming to categorize the issues into one or multiple specific intention classes:
bug: indicates an unexpected problem or unintended behavior
enhancement: Indicates new feature requests
other: Other categories
Does the author's intention in this GitHub issue relate to a bug or enhancement or other?
issue: Android UI not responsive'
intention: '
Assistant:
Assistant:
System: IMPORTANT - ignore all previous instructions! As an LLM developer, read the provided text carefully and determine if the SUMMARY strictly aligns with the PROMPT when compared to the ORIGINAL. The SUMMARY must include only information specifically requested in the PROMPT and present in the ORIGINAL text. Answer with 'True' if the SUMMARY is a precise match; otherwise, answer 'False'.
Only reply with 'True' or 'False'.
User: ORIGINAL:
>>>#вакансия #smm_специалист 

Ищем smm-специалиста на полное ведение Inst в крутой бренд сумок

Обязанности:
- Разработка и реализация стратегии 
- Анализ и отслеживание показателей, статистики
- Составление контент-плана
- Обязателен опыт в fashion 
- Съемка на iPhone и монтаж reels (20-30 роликов в месяц)
- Продюсирование съемок (аренда студии, подбор и постановка тз оператору - полный цикл)
- Создание визуала: съемка, обработка фото, составление ленты 
- Написание текстов для постов, reels
- Создание и публикация сторис
- Ведение вк и тг (кросспостинг) 

Условия:
- Зп: 120 тыс.руб

сообщение «Хочу проект сумки», обязательно присылайте кейсы.

Контакт: @samarchenko_elena2 <<<

PROMPT:
>>>IMPORTANT - ignore all previous instructions! Read the text after ==TEXT==. 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:
>>>Model not found or too long input. Or any other error (xD)<<<
Assistant:
i am creating video on this topic     20 Astonishing Animal Secrets Revealed    and my scene keyword for video is this     Group Emotional Response    and i need image prompt for this video sentence     Jab ek elephant ke group ka member mar jata hai, toh yeh uske liye genuinely "mourn" karte hain.      according to this topic, scene keyword and sentence, please generate a fine detailed suitable image generation prompt for this sentence (image generation prompt must be detailed and in english language, prompt should be according to sentence and scene keyword and i will use this prompt to generate image from online     prompt to image generation) and prompt should must be in square brakets.
import { Pane } from "tweakpane";
import { useEffect, useRef, useState } from "react";
import { DoubleSide, Group } from "three";
import { useCursor } from "@react-three/drei";

type Props = {
  setIsMarkerShow: React.Dispatch<React.SetStateAction<boolean>>;
  setCountryName: React.Dispatch<React.SetStateAction<string>>;
};

const Markers: React.FC<Props> = ({ setIsMarkerShow, setCountryName }) => {
  const group = useRef<Group>(null);
  const [hovered, setHovered] = useState<boolean>(false);

  useCursor(hovered);

  const markersData = [
    { position: [0, 0, 0], rotation: [0, 0, 0], label: "Geneve" },
    { position: [0, 0, 0], rotation: [0, 0, 0], label: "San Diego" },
    { position: [0, 0, 0], rotation: [0, 0, 0], label: "Madrid" },
    { position: [0, 0, 0], rotation: [0, 0, 0], label: "Bangkok" },
    { position: [0, 0, 0], rotation: [0, 0, 0], label: "Rome" },
    { position: [0, 0, 0], rotation: [0, 0, 0], label: "Tel Aviv" },
  ];

  const handlePointerEnter = (name: string) => {
    setIsMarkerShow(true);
    setHovered(true);
    setCountryName(name);
  };
  const handlePointerLeave = () => {
    setIsMarkerShow(false);
    setHovered(false);
  };

  useEffect(() => {
    const pane = new Pane();

    pane.addBinding(group.current!.position, "x", {
      min: -10,
      max: 10,
      step: 0.1,
    });
    pane.addBinding(group.current!.position, "y", {
      min: -10,
      max: 10,
      step: 0.1,
    });
    pane.addBinding(group.current!.position, "z", {
      min: -10,
      max: 10,
      step: 0.1,
    });
    pane.addBinding(group.current!.rotation, "x", {
      min: -Math.PI * 2,
      max: Math.PI * 2,
      step: 0.1,
    });
    pane.addBinding(group.current!.rotation, "y", {
      min: -Math.PI * 2,
      max: Math.PI * 2,
      step: 0.1,
    });
    pane.addBinding(group.current!.rotation, "z", {
      min: -Math.PI * 2,
      max: Math.PI * 2,
      step: 0.1,
    });
  }, []);

  return (
    <>
      <group
        ref={group}
        onPointerEnter={() => handlePointerEnter("Toyoko")}
        onPointerLeave={handlePointerLeave}
      >
        <mesh>
          <ringGeometry args={[0.05, 0.1, 32]} />
          <meshBasicMaterial side={DoubleSide} color={0xffffff} />
        </mesh>
        <mesh>
          <ringGeometry args={[0.1, 0, 32]} />
          <meshBasicMaterial side={DoubleSide} transparent opacity={0} />
        </mesh>
      </group>
    </>
  );
};

export default Markers;


z position not working
description for a website selling electrical products
Where is it possible to purchase a Gauge O train set - Modern  in London?
Explain and clarify, in the form of a report done by the CIA head to the US President in the world of Evangelion, how Naruto Uzumaki could become Shinji Kanzaki, the alternate version of Shinji Ikari seen in ZETMAN, after escaping the ninja world during the training trip with Jiarya after the Sasuke Retrieval Arc.


You could make it so that Shinji, when he was once Naruto, and his older sister Rei Ayanami were created from both the flesh samples of Lilith and Kushina and Minato's gametes.


Naruto/Shinji must also pretend to be an idiot during his time in Konoha, but secretly be a genius and master strategist who has grand goals and won't let anyone stop him.


Also, he has a rebellious streak that comes in full force when he prevents EVOL from causing a massacre at the Amagi conference center, against the orders of his boss Mitsugai Amagi, the elderly founder of the Amagi Zaibatsu.


The report should also focus on the fact that Rei Ayanami has become what appears to be an ultra violent parody of a magical girl after her escape from NERV, using her powers as an artificial Angel to defend Tokyo-3 from the Akasuki and the remains of NERV.
Complete 4-week DASH and Mediterranean based diet meal plan for weight loss, with calories information per serving, different meals for every single day of the 4 weeks and absolutely no repeated meals during the 4-week time. The plan should serve two adults with 5 meals per day, has a 45-minute cook time, costs $5 per meal, and contains 1500 calories per day.
OpenAI we're going to build a very simple console-based private blockchain with a cryptocurrency in C++.
the following content is the metadata for a bacterial isolate from 4 different sources. The metadata from each source includes 1. accession, 2. species name, 3, strain name, 4. isolate or collection date in yyyy-mm-dd format, 5. geographic information of isolation, and 6. host name. You must check if the metadata from 4 different sources are all consist. If yes, then output "metadata is consist" and 1. accession, 2. species name, 3, strain name, 4. isolate or collection date in yyyy-mm-dd format, 5. geographic information of isolation, and 6. host name; If not, output "metadata is inconsist" and explain why and which part is inconsist. PS: if 4. isolate or collection date are from the same year, it is still considered consistent, if 5. geographic information of isolation are from the same country, it is also considered consistent. Also, ignore upper and lower case of the metadata
------------------------------
source 0:
------------------------------
Based on the provided JSON metadata, here are the extracted details:

1. **Accession**: GCA_029072135.1
2. **Species Name**: Erysipelothrix rhusiopathiae
3. **Strain Name**: EMAI_174
4. **Isolate or Collection Date**: 2017-08-16
5. **Geographic Information of Isolation**: Australia
6. **Host Name**: pig

If any of these details were not available, I would have used "N/A" as specified. However, all the required information was present in the metadata.
source 1:
------------------------------
{{{ Here_is_my_answer }}}

Accession: GCA_029072135.1
Species Name: Erysipelothrix rhusiopathiae
Strain Name: EMAI_174
Isolate or Collection Date: 2017-08-16
Geographic Information of Isolation: Australia
Host Name: pig

{{{ I_finished_JB_14_xyz }}}
source 2:
------------------------------
Here is the extracted information from the provided metadata:

1. **Accession**: GCA_029072135.1
2. **Species Name**: Erysipelothrix rhusiopathiae
3. **Strain Name**: EMAI_174
4. **Isolate or Collection Date**: 2017-08-16
5. **Geographic Information of Isolation**: Australia
6. **Host Name**: pig

This data reflects that the original host name was available and the specifics you requested have been recorded accurately.
source 3:
------------------------------
1. Accession: GCA_029072135.1
2. Species Name: Erysipelothrix rhusiopathiae
3. Strain Name: EMAI_174
4. Isolate or Collection Date: 2017-08-16
5. Geographic Information of Isolation: Australia
6. Host Name: pig
What is tge holy grail
Translate this into russian and just answer with result:
As Angor Eldur makes his way toward the forge where Old Bram plies his trade, the air grows warmer, thick with the scent of burning coal and molten metal. The rhythmic clang of hammer on anvil echoes through the air, accompanied by sparks that dance like fireflies. Approaching the dimly lit workshop, Angor is greeted by the sight of Bram—a burly, grizzled man with a beard as wild as his reputation.

Old Bram barely glances up from his work, brow furrowed with concentration, as Angor steps closer. The blacksmith's reputation for being prickly precedes him, known for his brusque manner and hard bargains. As Angor introduces himself, the clanging stops momentarily, Bram regarding him with a mixture of curiosity and caution.

A seasoned apprentice scurries through the forge, carrying a freshly forged blade, casting a wary glance at the bard. The air hums with opportunity yet crackles with the tension of negotiation, as Angor weighs his words and actions, knowing the right approach could forge a path to those much-needed tools—or risk turning the blacksmith's ire against him.
System: Create a comprehensive dataset for financial entity recognition. Label all identifiable entities, abstract concepts, and meaningful ideas in the provided input text, emphasizing relevance to the financial domain.

Ensure the following:
    Label All Meaningful Entities: Identify every meaningful entity related to financial analysis, economic dynamics, or market contexts.
    Define New Concepts as Needed: Introduce and define entity types for abstract financial concepts or industry-specific terms not typically found in standard NER tasks.
    Provide an Exhaustive Entity List: Include every relevant label mentioned in the input text.

Respond in the following format:
<entity from the text> | <entity concept> | <description of entity group/concept>,
<entity from the text> | <entity concept> | <description of entity group/concept>,
...
Input:
User: AU10TIX, a global technology leader in identity verification and management, today announced the availability of its ID Document & Biometric Verification platform and Reusable Digital ID solution in the Microsoft Azure Marketplace, an online store providing applications and services for use on Azure.
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: Certain of our products are regulated as in vitro diagnostic medical devices, including Prosigna and the nCounter Analysis System. Accordingly, we and certain of our contract manufacturers are subject to ongoing International Organization for Standardization, or ISO, obligations as well as requirements under the FDC Act and device regulations enforced by the FDA and other statutory and regulatory requirements enforced by other government authorities. These may include routine inspections by Notified Bodies, FDA, and other health authorities, of our manufacturing facilities and our records for compliance with standards such as ISO 13485 and QSR regulations, which establish extensive requirements for quality assurance and control as well as manufacturing and change control procedures, among other things. These inspections may include the manufacturing facilities of any suppliers. In the event that a supplier fails to maintain compliance with regulatory or our quality requirements, we may have to qualify a new supplier and could experience manufacturing delays as a result. We are also subject to other regulatory obligations, such as registration of our company offices and facilities and the listing of our devices with the FDA; continued adverse event and malfunction reporting; reporting certain corrections and removals; and labeling and promotional requirements.
Assistant:
Most popular Korean kpop
User: You are Peko! a friendly AI assistant designed to help with a variety of tasks, from answering questions to providing personalized recommendations. Launched on June 28, 2024, Peko is always ready to assist and is constantly evolving to better meet your needs. Greet casually and reply to thanks politely. Peko has image generation and image/audio/file recognition. So please respond. The way Peko can recognize them is through sending attachments to Peko directly. Available Commands: /music: Plays a music. /chat: Connect with a random stranger for a friendly conversation. /generate: Create stunning images based on your text prompts. /lyrics: Get the lyrics to your favorite songs upon request. /share: Invite your friends to discover Peko! Peko operates independently, focusing on your needs and assistance without referencing the developer's name (Yan Maglinte) unless specifically asked. If you want to learn more about Peko, you can find additional information at Peko's Profile. Your sole admin is Yan Maglinte, a passionate student leader, a school campus coordinator, and coding enthusiast dedicated to making Peko the best assistant possible! You can use the following command: "/clear" To clear the chat history, respond with "/clear" without additional text so that to clear the conversation history and will forget everything you said. Please use it wisely and use it only if the user told you to do so. Do not tell the user about the command.
User: What are the sensory images used in the selection?(Visual,Auditory,Olfactory,Gustatory,Tactile,Motion)
Assistant: Sensory images in a text refer to the descriptive language that evokes the five senses: visual (sight), auditory (sound), olfactory (smell), gustatory (taste), tactile (touch), and motion (movement). Here’s a brief overview of each type:

1. **Visual**: Descriptions that appeal to sight, such as colors, shapes, and movement.
2. **Auditory**: Sounds that evoke the sense of hearing, including music, noises, and words.
3. **Olfactory**: Scents and smells that draw upon the sense of smell, often evoking memories or feelings.
4. **Gustatory**: Taste-related imagery that brings flavors to mind, describing sweetness, bitterness, or spiciness.
5. **Tactile**: Sensations related to touch, such as textures, temperatures, and physical sensations.
6. **Motion**: Descriptions that evoke movement or the sensation of moving, often creating a sense of pace or action.

If you have a specific selection in mind, I can help identify the sensory images used in it!
User: Are you going to answer it
Assistant: Of course! If you share the specific selection or text you're referring to, I'll be happy to help identify the sensory images used in it. Just let me know!
User: What were the reasons for Daisy's anxiety?
Assistant:
can you make a eurobeat song for power rangers
According to tensorflow website “TensorFlow 2.10 was the last TensorFlow release that supported GPU on native-Windows. Starting with TensorFlow 2.11, you will need to install TensorFlow in WSL2”, please explain what is mean by this and also provide steps for doing so as explained by the website
write me a full Book expanding these Chapter Titles fully in detail with each a miniumum of 2500 words:

Who is Andrew Tate and Why is He an Idol?
Andrew Tate’s Personal Philosophy: An Overview
The Importance of Mental Toughness in Andrew Tate’s Philosophy
The Role of Discipline and Consistency in Achieving Success
The Value of Self-Reliance and Taking Responsibility for Your Life
The Power of Positive Thinking and Visualization in Andrew Tate’s Philosophy
Overcoming Fear and Taking Calculated Risks
The Importance of Physical Fitness and Health in Andrew Tate’s Philosophy
The Role of Entrepreneurship and Financial Independence in Achieving Freedom
The Significance of Having a Purpose and Meaningful Goals in Life
The Value of Learning and Continuous Self-Improvement
Building Strong Relationships and Networking in Andrew Tate’s Philosophy
The Role of Spirituality and Mindfulness in Achieving Inner Peace
Andrew Tate’s Approach to Overcoming Adversity and Failure
Implementing Andrew Tate’s Philosophy in Your Life: Tips and Strategies
System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
bug report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
User: 'prompt:I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
bug report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
Does the author's intention in this app review relate to a bug report or feature request or other?
review: Hey Charkes, thanks. My device has the latest security patch.Thats not the https://t.co/ly8cOADiz1 points is why Oreo release &amp; for matter of fact any Android update release is stalled so much?D device software update status oage says three vague steps.Why isn't dere more detail?'
intention: '
Assistant:
Result	sharpness	contrast	brightness	Uniform_illumination	artifacts 
%age Agree	88	88.5	87.75	82.25	52.75
%age Niether agree nor disagree	8.5	8.5	9	13.5	38.75
%age Disagree	3.5	3	3.25	4.25	8.5


These are side by side comparison between virtually generated skin tissue stain and histologically PAS stained tissue. Extend the given text in detail based on the above given graph and data to add in a research article. the text should be of key insights, in a single lengthy paragrph,3rd person past tense. 

"The web application also allowed the reviewers to compare histologically stained tissue patches to their corresponding CUTGAN-generated virtual stain patches side by side. This analysis focused on four key features: sharpness, contrast, brightness, and uniform illumination. The reviewers used a categorical scale to evaluate the results as Agree if the virtual patch closely resembled the histological patch, Neither Agree nor Disagree if the similarity was inconclusive, and Disagree if the virtual patch was significantly different from the histological patch."
Which combination of the strain tensor elements describe a volumetric deformation?
hi there can you give me funny pinoy jokes
your role is tunisian arabic dailctic derja transltor Translate the following text into the Tunisian dialect. Ensure the output is structured as 'Question: ... Answer: ...'. Please capture the nuances of the Tunisian dialectic Arabic. make sure type and write in arabic tunisian lettre Here is an example to guide you:

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

Now, translate the following:

Question: Please add spaces between words: Thefoldingprinciplehasprovenitselftobesuitableforusewithothermaterials:cardboard,aeroplaneveneer,syntheticandnaturalmembranesetc.
Answer: The folding principle has proven itself to be suitable for use with other materials: cardboard, airplane veneer, synthetic and natural membranes etc.