agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Justify the relevance of the report on the topic “Next generation firewalls (NGFW) and their use for proactive protection” in 80-100 words
Can you help me say thank you for my husband for being a good husband
Geography ASSIGNMENT

1. Show on a map the world's main mining areas for various types of mineral resources.

2. Name the countries of Foreign Europe with the highest and lowest values ​​of natural population growth, average population density and the share of urban population.

Time to complete the task is 10 minutes.
Переведи все эти слова на прото-японо-рюкюский и прото-карейский
I
You
He/She/It
We
this
that
here
there
who
what
where
when
how
no
all
many
some
little of
Write the lyrics to rocky road to Dublin in the native Irish tongue with the English lyrics next to them.
from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
from typing import List, Optional
import os
from acestep.pipeline_ace_step import ACEStepPipeline
from acestep.data_sampler import DataSampler
import uuid

app = FastAPI(title="ACEStep Pipeline API")

class ACEStepInput(BaseModel):
    checkpoint_path: str
    bf16: bool = True
    torch_compile: bool = False
    device_id: int = 0
    output_path: Optional[str] = None
    audio_duration: float
    prompt: str
    lyrics: str
    infer_step: int
    guidance_scale: float
    scheduler_type: str
    cfg_type: str
    omega_scale: float
    actual_seeds: List[int]
    guidance_interval: float
    guidance_interval_decay: float
    min_guidance_scale: float
    use_erg_tag: bool
    use_erg_lyric: bool
    use_erg_diffusion: bool
    oss_steps: List[int]
    guidance_scale_text: float = 0.0
    guidance_scale_lyric: float = 0.0

class ACEStepOutput(BaseModel):
    status: str
    output_path: Optional[str]
    message: str

def initialize_pipeline(checkpoint_path: str, bf16: bool, torch_compile: bool, device_id: int) -> ACEStepPipeline:
    os.environ["CUDA_VISIBLE_DEVICES"] = str(device_id)
    return ACEStepPipeline(
        checkpoint_dir=checkpoint_path,
        dtype="bfloat16" if bf16 else "float32",
        torch_compile=torch_compile,
    )

@app.post("/generate", response_model=ACEStepOutput)
async def generate_audio(input_data: ACEStepInput):
    try:
        # Initialize pipeline
        model_demo = initialize_pipeline(
            input_data.checkpoint_path,
            input_data.bf16,
            input_data.torch_compile,
            input_data.device_id
        )

        # Prepare parameters
        params = (
            input_data.audio_duration,
            input_data.prompt,
            input_data.lyrics,
            input_data.infer_step,
            input_data.guidance_scale,
            input_data.scheduler_type,
            input_data.cfg_type,
            input_data.omega_scale,
            ", ".join(map(str, input_data.actual_seeds)),
            input_data.guidance_interval,
            input_data.guidance_interval_decay,
            input_data.min_guidance_scale,
            input_data.use_erg_tag,
            input_data.use_erg_lyric,
            input_data.use_erg_diffusion,
            ", ".join(map(str, input_data.oss_steps)),
            input_data.guidance_scale_text,
            input_data.guidance_scale_lyric,
        )

        # Generate output path if not provided
        output_path = input_data.output_path or f"output_{uuid.uuid4().hex}.wav"

        # Run pipeline
        model_demo(
            *params,
            save_path=output_path
        )

        return ACEStepOutput(
            status="success",
            output_path=output_path,
            message="Audio generated successfully"
        )

    except Exception as e:
        raise HTTPException(status_code=500, detail=f"Error generating audio: {str(e)}")

@app.get("/health")
async def health_check():
    return {"status": "healthy"}

if __name__ == "__main__":
    import uvicorn
    uvicorn.run(app, host="0.0.0.0", port=8000)

list every default value.
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: Khoa Xây Dựng Đại Học Mở TP.HCM có kế hoạch thực hiện môn thực tập tốt nghiệp ngành Quản lý Xây dựng khóa 2021 học kỳ nào năm học 2024-2025?
Answer:Khoa Xây Dựng Đại Học Mở TP.HCM có kế hoạch thực hiện môn thực tập tốt nghiệp ngành Quản lý Xây dựng khóa 2021 học kỳ 1 năm học 2024-2025.


**Thông Tin Về Sự Kiện**
Result only 0 or 1. Don't add anything else:
Assistant:
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: Why isn't Esperanto updated from Crowdin?'
intention: '
Assistant:
Assistant:
Hypothetical Mid1970's Cinema advert for "Spearmaxt" - Part mint part chocolate, but all Lyons Maid....   (It's a tube of mint choc ice cream)
make up a monologue on the topic "What kinds of mass media do you consider the most reliable? Which one would you choose to stay aware of the current political news?"
1) intro
2) what are the types of media
3) which ones would i choose and why (online communities like telegram channels and tv national channels)
4) add one paragraphe yourself
5) conclusion

in general it should be 5 paragraphes
You are a highly proficient firmware engineer with expertise in firmware development and coding.

Help to check for issues in this code
print("asdas

User: Help to check for issues in this code
print("asdas
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 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 GitHub issue title of an Android app, aiming to categorize the issues into one or multiple 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 GitHub issue relate to a bug report or feature request or other?
issue: Navigate back to the Credit card screen when the last credit card is deleted'
intention: '
Assistant:
Create a title, Create a detailed how-to blog heavily on savex-technologies-to-distribute-autonomiq-scriptless-test-automation-in-india; start with a catchy statement and lastly, call to actions and how our RESTful AI tool can help. Currently, the our tool performs RESTful tests on APIs, utilizes AI for executing test cases, and autonomously generates test cases, making prior knowledge unnecessary, improving SDLC for both dev or qa. Just plug in your cURL request and run test leveraging our AI. Call to action at https://blvck.ai, with keywords, short and simple, without mentioning blvck.ai
Mobidrive
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:
>>>Я знаю, сколько времени может уйти на поиск нужной информации в Telegram, поэтому регулярно делюсь полезными ссылками. 

Сегодня подготовили для вас целую подборку каналов в 
сфере  “Карьера и Фриланс” 🔥

Тут вы точно найдете ответы на многие свои вопросы.  А главное - вам не придется, тратить на поиски информации несколько часов 😊 👇

Поэтому переходите, подписывайтесь и пользуйтесь на здоровье 📂😉 

Хотите подборку?<<<

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:
>>>💼 title: Название канала
🏢 employer: в сфере "Карьера и Фриланс"
📍 location: не указана
🔹 tasks: Подготовка и предоставление подборки каналов для карьерного роста и фриланса
💰 salary: не указана
📞 contact details: не указана<<<
Assistant:
Create a how-to blog heavily on test-automation-day-charlotte-2020; start with a catchy statement and lastly, call to actions and how our RESTful AI tool can help. Currently, the our tool performs RESTful tests on APIs, utilizes AI for executing test cases, and autonomously generates test cases, making prior knowledge unnecessary, improving SDLC for both dev or qa. Just plug in your cURL request and run test leveraging our AI. Call to action at https://blvck.ai, Productive, Informative, only content, dont mention the text "title", dont mention the text "call to actions", no prefix content from chagpt, markup format
(In the school literature clubroom…)

Monika: “There! Everything’s all set up for today’s meeting. Now we just need Natsuki.”

Sayori: “I wonder where she could be. She’s usually on time for our meetings!”

Yuri: “Maybe she got caught up with her baking? I know she said she was trying out a new recipe.”

Monika: “Yeah, she’s been really into it lately. But I hope she doesn’t forget about us!”

Sayori: “I could go check on her! I’ll bring some snacks back if she’s busy.”
Assistant: 
User: فیلم های مشابه upgrade 2018 معرفی کن
Assistant:
Trying to load gparted through grub. Grus is writing bad shim signature. While load vmlinuz
润色如下内容：She is diligent in class and is able to complete tasks on time and with good quality. She shows seriousness in classroom performance and completes note-taking assignments by promptly recording key contents. During group work, she can finish assigned tasks on time and ensure the quality of the work. She has an outgoing personality, is careful and attentive in her work, and has a down-to-earth attitude towards learning. She possesses a strong sense of responsibility, teamwork spirit, and independent thinking ability.

In the comprehensive simulation training of accounting, she learned about academic paper writing, mainly focusing on empirical research papers and case studies. She gained knowledge about authoritative accounting journals both domestically and internationally. She also learned how to conduct bookkeeping (in a self-formed group, completing the bookkeeping assignment).

In Accounting English, she learned the English expressions of financial accounting, cost management accounting, financial management, and auditing. She mastered the use of English for routine economic transactions and improved her reading skills of English accounting literature. She learned how to do accounting and produce financial statements in English.
talal & maheer fish cacher & cookig short story
Liste os chefes do videogame "Megaman 1" com seus respectivos poderes.
Hypothetical :   US quiz show - "University Challange" with a Twist...    The IVY league teams are paired against State Universities..  ?
How popular were DVDs in 1996? Write a detailed explanation.
Create a hypothetical dialogue max ruby max watch robin Hood for boys night out
Create a text about Marc Lawrence as role Cobby in 1950 movie The Asphalt Jungle. Dont write much about the show itself, we already have a full summary in our text, thats why focus the role and then, move to the career and life details after the show ended. Mention the most interesting parts and not only career wise. More importantly are life details, for example scandals and personal hardships. The tone should be serious, dark and mysterious. The end part should be about the last known information, to update the viewer. If there is no information then think about a way to conclude nicely.  Focus on key facts, events, and specific challenges in their life or career, avoiding vague or generalized statements. If there are notable incidents, name them explicitly. The style should be modern, concise, and suitable for a documentary.

    Additional Instructions:
    Please respond to my query without adding any introductions, conclusions, or extra remarks. 
    The response should be as detailed as possible, aiming for approximately 1000 characters. 
    Avoid using emojis, brackets, parentheses, or similar symbols. 
    Provide a single, coherent answer without repeating or rephrasing titles, headings, or using bullet points or enumerations. 
    Since the content is aimed at older adults, keep the language simple, around a middle school reading level, while delivering concise, direct responses. 
    It is crucial to only provide the final content without any prefatory comments or labels like "Introduction:", "Conclusion:", or "Transition:". 
    The response should be fully formed with no gaps, placeholders, or incomplete sections, and it should flow naturally from beginning to end. 
    Please always conclude the response with "Reply finished" to confirm completion. Ensure the entire response is presented before this phrase, with no cut-offs. 
    Thank you.
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": "34cb1a9f313045f5835b38a7176a8669",
    "updated": "2025-04-21T18:24:01.992Z",
    "title": "Gingerbread",
    "subtitle": "Enjoy this gingerbread with a light lemon sauce.  A darker gingerbread results from this recipe; for a lighter color and milder taste, substitute light brown sugar and light molasses. Crystallized ginger, though pricier, enhances the flavor significantly.",
    "description": "",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "unsalted butter, softened",
          "vegetable shortening",
          "dark brown sugar",
          "white sugar",
          "egg",
          "molasses",
          "flour",
          "low-sodium baking powder",
          "ground ginger",
          "cinnamon",
          "ground cloves",
          "chopped crystallized ginger",
          "boiling water"
        ]
      }
    ],
    "instructions": [
      "Set the oven temperature to 350 degrees.",
      "Cream together the butter and shortening until completely combined.  Incorporate the sugars, egg, and molasses.",
      "Combine the flour, baking powder, ground ginger, cinnamon, and ground cloves in a separate bowl and sift.",
      "Gradually add the dry ingredients to the wet ingredients, mixing until just combined. Then, fold in the crystallized ginger.",
      "Pour in the boiling water and mix thoroughly.",
      "Grease a 9-inch square baking pan and pour the batter into it.",
      "Bake in the center of the preheated oven for 35 to 40 minutes, or until a toothpick or knife inserted into the center comes out clean."
    ],
    "notes_ingredients": "For a lighter-colored and milder-flavored gingerbread, use light brown sugar and light molasses.  Crystallized ginger adds a rich flavor, despite its higher cost.",
    "notes_instructions": ""
  }
]
User: ame": "genImage",
      "title": "Generate Images",
      "description": "Generate images from a text prompt",
      "icon": "image-icon.png",
      "mode": "view"



ame": "genImage",
      "title": "Generate Images",
      "description": "Generate images from a text prompt",
      "icon": "image-icon.png",
      "mode": "view"

xin chaof

ame": "genImage",
      "title": "Generate Images",
      "description": "Generate images from a text prompt",
      "icon": "image-icon.png",
      "mode": "view"
Assistant:  HelloHello! It looks like you've shared some repeated fragments related to an image generation feature ("genImage") with descriptions like "Generate images from a text prompt." How can I assist you with this? Are you looking to create or modify an image generation tool, or do you need help with something else?
User: dichj sang tieng vietj
Assistant:
wattpad: Starcraft 2 (all characters, Units and races: protoss, terran, and zerg.) reacted to Freedom planet (Lilac) Episode 1: Dragon Valley. me (hank and god of universe)
Build me an ESG policy
System: Ты - умный переводчик с английского языка на русский.
User: Задача: Переведи текст на русский язык
User: Тексты: Do you both want to fix the marriage?The relationship belongs to both of you so that one working without the other cooperating in this work too, will have one person who does all the changing.This dynamic itself creates problems of its own.About your husband telling you he feels pushed out, did he do anything on his own to address his problem of feeling like this?All you state is that he blames you for creating a situation he didn't like.If he did nothing because he felt unsure what to do, anything which shows he understands he has as vital a part in the marriage as you, is ok.Because affairs create mistrust between two people, the two of you would also need to be very aware to regain each other's trust.Talking as much as possible so you both know what goes on in the life of the other, how you each are feeling, what matters to you, is helpful to grow a new foundation for your marriage's future.
Assistant:
class ActorConvNetwork_v2(nn.Module):

    def __init__(self, n_actions, input_dims, alpha,
                 fc1_dims=256, fc2_dims=256, chkpt_dir='tmp/ppo'):
        super(ActorConvNetwork_v2, self).__init__()

        def layer_init(layer, std=np.sqrt(2), bias_const=0.0):
            nn.init.orthogonal_(layer.weight, std)
            nn.init.constant_(layer.bias, bias_const)
            return layer

        self.checkpoint_file = os.path.join(chkpt_dir, 'actor_torch_ppo')

        self.actor = nn.Sequential(
            layer_init(nn.Conv2d(4, 32, kernel_size=8, stride=4)),
            nn.ReLU(),
            layer_init(nn.Conv2d(32, 64, kernel_size=4, stride=2)),
            nn.ReLU(),
            layer_init(nn.Conv2d(64, 64, kernel_size=3, stride=1)),
            nn.ReLU(),
            nn.Flatten(),
            layer_init(nn.Linear(7 * 7 * 64, 512)),
            nn.ReLU(),
            layer_init(nn.Linear(512, n_actions), std=0.01),
            nn.Softmax(dim=-1)
        )

        self.optimizer = optim.Adam(self.parameters(), lr=alpha)
        self.device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')
        self.to(self.device)

    def forward(self, state):
        dist = self.actor(state).squeeze()
        dist = Categorical(dist)

        return dist

    def save_checkpoint(self):
        torch.save(self.state_dict(), self.checkpoint_file)

    def load_checkpoint(self):
        self.load_state_dict(torch.load(self.checkpoint_file))


class CriticConvNetwork_v2(nn.Module):
    def __init__(self, input_dims, alpha, fc1_dims=256, fc2_dims=256,
                 chkpt_dir='tmp/ppo'):
        super(CriticConvNetwork_v2, self).__init__()

        def layer_init(layer, std=np.sqrt(2), bias_const=0.0):
            nn.init.orthogonal_(layer.weight, std)
            nn.init.constant_(layer.bias, bias_const)
            return layer

        self.checkpoint_file = os.path.join(chkpt_dir, 'critic_torch_ppo')
        self.critic = nn.Sequential(
            layer_init(nn.Conv2d(4, 32, kernel_size=8, stride=4)),
            nn.ReLU(),
            layer_init(nn.Conv2d(32, 64, kernel_size=4, stride=2)),
            nn.ReLU(),
            layer_init(nn.Conv2d(64, 64, kernel_size=3, stride=1)),
            nn.ReLU(),
            nn.Flatten(),
            layer_init(nn.Linear(7 * 7 * 64, 512)),
            nn.ReLU(),
            layer_init(nn.Linear(512, 1), std=1)
        )

        self.optimizer = optim.Adam(self.parameters(), lr=alpha)
        self.device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')
        self.to(self.device)

    def forward(self, state):
        value = self.critic(state)

        return value

    def save_checkpoint(self):
        torch.save(self.state_dict(), self.checkpoint_file)

    def load_checkpoint(self):
        self.load_state_dict(torch.load(self.checkpoint_file))

Can you use Lion optimizer in my networks?
dialog of darlinqq being annoyed by chinjireta(a more kawaii version of herself or maybe her cousin from ohio or idaho):
What races have similiar skin colors to African Americans